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<s> ---
title: ComboBox No Null Values
page_title: Xamarin ComboBox Documentation | Selection
description: Check our "ComboBox No Null Values" documentation article for Telerik ComboBox for Xamarin control.
position: 1
tag: combobox, null, values, single, selection
slug: combobox-no-null-values
---
# ComboBox with No Null Values
The following article will show you how to prevent item deselection when the ComboBox selection mode is single and there is initially selected item.

Here are the steps needed to achieve the functionality describe above.
To prevent item deselection we will need to set `IsClearButtonvisible` to `False` and `SelectionMode` to `Single` Here is the ComboBox definition in XAML
<snippet id='combobox-no-null-values'/>
the business model used:
<snippet id='combobox-city-businessmodel'/>
Mainly inside the ViewModel you will need to declare a property and bind it to the ComboBox `SelectedItem` property, then set a value for this property in the ViewModel's contructor:
<snippet id='combobox-nonull-values-viewmodel'/>
> Example for ComboBox No Null Value can be found in the [ComboBox/How To](https://github.com/telerik/xamarin-forms-sdk/tree/master/XamarinSDK/SDKBrowser/SDKBrowser/Examples/ComboBox/HowTo/NoNullValueExample) section from the SDK Browser Application.
## See Also
- [Key Features]({%slug combobox-key-features%})
- [Data Binding]({%slug combobox-databinding%})
- [Editing]({%slug combobox-editing%})
- [Searching]({%slug combobox-searching%})
- [Templates]({%slug combobox-templates%})
</s>
|
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<s> using System;
using System.Collections.Generic;
using System.Data;
using System.Data.Entity;
using System.Data.Entity.Infrastructure;
using System.Linq;
using System.Net;
using System.Net.Http;
using System.Threading.Tasks;
using System.Web.Http;
using System.Web.Http.Description;
using WebAPI_Service;
namespace WebAPI_Service.Controllers
{
public class TaskDetailsController : ApiController
{
private DBTestEntities db = new DBTestEntities();
// GET: api/TaskDetails
public IQueryable<TaskDetail> GetTaskDetails()
{
return db.TaskDetails;
}
// GET: api/TaskDetails/5
[ResponseType(typeof(TaskDetail))]
public async Task<IHttpActionResult> GetTaskDetail(int id)
{
TaskDetail taskDetail = await db.TaskDetails.FindAsync(id);
if (taskDetail == null)
{
return NotFound();
}
return Ok(taskDetail);
}
// PUT: api/TaskDetails/5
[ResponseType(typeof(void))]
public async Task<IHttpActionResult> PutTaskDetail(int id, TaskDetail taskDetail)
{
if (!ModelState.IsValid)
{
return BadRequest(ModelState);
}
if (id != taskDetail.Task_ID)
{
return BadRequest();
}
db.Entry(taskDetail).State = EntityState.Modified;
try
{
await db.SaveChangesAsync();
}
catch (DbUpdateConcurrencyException)
{
if (!TaskDetailExists(id))
{
return NotFound();
}
else
{
throw;
}
}
return StatusCode(HttpStatusCode.NoContent);
}
// POST: api/TaskDetails
[ResponseType(typeof(TaskDetail))]
public async Task<IHttpActionResult> PostTaskDetail(TaskDetail taskDetail)
{
if (!ModelState.IsValid)
{
return BadRequest(ModelState);
}
db.TaskDetails.Add(taskDetail);
await db.SaveChangesAsync();
return CreatedAtRoute("DefaultApi", new { id = taskDetail.Task_ID }, taskDetail);
}
// DELETE: api/TaskDetails/5
[ResponseType(typeof(TaskDetail))]
public async Task<IHttpActionResult> DeleteTaskDetail(int id)
{
TaskDetail taskDetail = await db.TaskDetails.FindAsync(id);
if (taskDetail == null)
{
return NotFound();
}
db.TaskDetails.Remove(taskDetail);
await db.SaveChangesAsync();
return Ok(taskDetail);
}
protected override void Dispose(bool disposing)
{
if (disposing)
{
db.Dispose();
}
base.Dispose(disposing);
}
private bool TaskDetailExists(int id)
{
return db.TaskDetails.Count(e => e.Task_ID == id) > 0;
}
}
}</s>
|
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2
] |
<s> using System;
using System.Collections.Generic;
class Day15
{
private List<string> data;
// private Dictionary<int, int> numbers;
// private List<int> originalList;
public Day15(List<string> dataList)
{
data = dataList;
}
public void calculate()
{
doCalculationWithList(1000000);
doCalculationWithArray(1000000);
doCalculationWithDictionary(1000000);
}
private void doCalculationWithList(int target)
{
List<int> numbers = new List<int>();
foreach (string number in data[0].Split(","))
{
numbers.Add(int.Parse(number));
}
int numStarters = numbers.Count;
Console.WriteLine("##################################################");
Console.WriteLine($"Started: {DateTime.Now}");
for (int i = numStarters - 1; i < target; i++)
{
// consider the last number
int considerNum = numbers[i];
// see how many exist
int distanceBack = 0;
bool foundNum = false;
for (int j = numbers.Count - 2; j > -1; j--)
{
if (numbers[j] == considerNum)
{
distanceBack = numbers.Count - 1 - j;
numbers.Add(distanceBack);
foundNum = true;
break;
}
}
if (!foundNum)
{
// Console.WriteLine($"Step {i}; adding {0}");
numbers.Add(0);
}
}
Console.WriteLine($"Finished: {DateTime.Now}");
Console.WriteLine($"numbers size: {numbers.Count}");
Console.WriteLine($"Answer is {numbers[target - 1]}");
}
public void doCalculationWithArray(int target)
{
int[] numbers = new int[target + 1];
for (int i = 0; i < data[0].Split(",").Length; i++)
{
numbers[i] = int.Parse(data[0].Split(",")[i]);
}
int numStarters = data[0].Split(",").Length;
Console.WriteLine("##################################################");
Console.WriteLine($"Started: {DateTime.Now}");
for (int i = numStarters; i < target; i++)
{
// consider the last number
int considerNum = numbers[i - 1];
// Console.WriteLine($"Considering # {considerNum} to calculate index {i}");
// see how many exist
int distanceBack = 0;
bool foundNum = false;
for (int j = i - 2; j > -1; j--)
{
if (numbers[j] == considerNum)
{
distanceBack = i - 1 - j;
numbers[i] = distanceBack;
// Console.WriteLine($"Found this far back: {distanceBack} at index {j}; adding {distanceBack} to index {i}");
foundNum = true;
break;
}
}
if (!foundNum)
{
// Console.WriteLine($"Not found: adding 0 to index {i}");
numbers[i] = 0;
}
}
Console.WriteLine($"Finished: {DateTime.Now}");
Console.WriteLine($"Answer using array is {numbers[target - 1]}");
}
public void doCalculationWithDictionary(int target)
{
Dictionary<int, int> numbers = new Dictionary<int, int>();
List<int> originalList = new List<int>();
int turn = 1;
foreach (string number in data[0].Split(","))
{
// add all but last number to the dictionary
if (turn < data[0].Split(",").Length)
{
numbers.Add(int.Parse(number), turn);
}
// add all to the list
originalList.Add(int.Parse(number));
turn++;
}
// // checks
// Console.WriteLine($"This many in map: {numbers.Count}");
// foreach (var pair in numbers)
// {
// Console.WriteLine(pair);
// }
// Console.WriteLine($"This many in list: {originalList.Count}");
// start by considering the last number in the original list
// it's not yet added to the dictionary
int lastNumSpoken = originalList[originalList.Count - 1];
turn = originalList.Count + 1;
Console.WriteLine("##################################################");
Console.WriteLine($"Started: {DateTime.Now}");
while (true)
{
// if we've said this number before
if (!numbers.ContainsKey(lastNumSpoken))
{
numbers.Add(lastNumSpoken, turn - 1);
lastNumSpoken = 0;
}
// if it's new
else
{
int lastTimeOccurred = numbers[lastNumSpoken];
int newValueToConsider = turn - 1 - lastTimeOccurred;
numbers[lastNumSpoken] = turn - 1;
lastNumSpoken = newValueToConsider;
}
if (turn == target)
{
Console.WriteLine($"Turn {turn} said {lastNumSpoken}");
break;
}
turn++;
}
Console.WriteLine($"How many items in dict at the end? {numbers.Count}");
Console.WriteLine($"Finished: {DateTime.Now}");
}
}</s>
|
[
1,
23107,
59332,
6768,
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] |
<s> Featured Research
Teens involved in arts activities report more depressive symptoms than teens not involved in the arts
Date:
November 20, 2012
Source:
American Psychological Association (APA)
Summary:
Teens who participate in after-school arts activities such as music, drama and painting are more likely to report feeling depressed or sad than students who are not involved in these programs, according to new research.
Share This________________________________________ The American Psychological Association, in Washington, D.C., is the largest scientific and professional organization representing psychology in the United States and is the world's largest association of psychologists. APA's membership includes more than 137
American Psychological Association (APA). "Teens involved in arts activities report more depressive symptoms than teens not involved in the arts." ScienceDaily. ScienceDaily, 20 November 2012. <
American Psychological Association (APA). (2012, November 20). Teens involved in arts activities report more depressive symptoms than teens not involved in the arts. ScienceDaily. Retrieved March 9, 2014 from
American Psychological Association (APA). "Teens involved in arts activities report more depressive symptoms than teens not involved in the arts</s>
|
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] |
<s> On the 29th of December, 2012, Teach Beside Me introduced an engaging card game, "Food Chain," designed to educate students about the sequential nature of food chains. The game initiates with plant cards, such as nectar, fruits, vegetables, and grains, laid face down in a row. Animal cards, shuffled and distributed among players, represent the various creatures that depend on these plants for sustenance. Players take turns revealing a plant card. If their hand contains a matching animal card, they commence building a food chain. The subsequent player must then play a card that logically follows in the chain. If no suitable card is available, the player forfeits their turn. A "Free Choice" card, representing any animal, can be used if the player can justify its placement within the current food chain. The first player to successfully complete a chain retains the cards and a new plant card is turned over. The game continues until all potential chains have been exhausted, with the player possessing the most cards declared the winner. For a complimentary printable version of the game, visit the Teach Beside Me website.</s>
|
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4755,
1476,
1414,
1378,
9318,
1377,
11773,
51487,
1467,
1476,
7366,
10007,
1469,
50698,
9386,
1432,
1358,
24639,
9816,
1385,
1859,
5805,
72,
3163,
1457,
1523,
15656,
72,
1900,
7872,
1544,
1348,
1824,
1509,
1877,
1348,
29726,
23088,
18086,
72,
2972,
1523,
4545,
9491,
4405,
28341,
72,
2063,
2192,
11284,
1463,
1436,
1465,
1384,
40425,
63,
59335,
1619,
1384,
14329,
12738,
1377,
1358,
7872,
72,
2063,
9712,
1358,
1368,
5362,
6380,
1379,
7112,
20052,
7521,
1377,
1358,
9261,
72,
2063,
10760,
1358,
9491,
4405,
72,
1507,
34093,
1727,
1981,
59342,
4719,
72,
1507,
3827,
1510,
5813,
2489,
1523,
15021,
21458,
72,
2063,
9680,
1859,
3005,
1384,
7640,
1348,
24488,
1457,
59399,
59384,
59400,
2563,
2560,
1377,
1358,
8243,
38592,
5803,
14301,
15251,
1384,
27102,
72,
26893,
1396,
2406,
1712,
1377,
2291,
5888,
72,
1420,
28031,
14975,
1895,
10712,
1379,
9499,
3871,
2995,
59342,
1384,
8947,
1476,
1875,
2374,
46815,
59342,
1384,
16836,
1348,
7546,
51553,
5349,
3126,
1385,
1458,
9108,
14280,
72,
4612,
2302,
21969,
1385,
2213,
1348,
10346,
72,
26657,
3389,
24953,
1476,
59342,
1696,
2750,
3304,
6674,
72,
2063,
1523,
1759,
41771,
1907,
1450,
13212,
1379,
58128,
47385,
59342,
1384,
27336,
2271,
1523,
17938,
1385,
43986,
58302,
59342,
1872,
1523,
1751,
3429,
1377,
1358,
7138,
1895,
28137,
10390,
1385,
1358,
33585,
59342,
3679,
1469,
50698,
9386,
6288,
72,
26657,
3389,
5175,
59361,
59323,
2127,
2995,
2119,
3021,
1544,
1523,
1715,
1377,
1358,
20435,
72,
2063,
1523,
1712,
1887,
1385,
1358,
33585,
1450,
1458,
10990,
8462,
11344,
1972,
26657,
3389,
59361,
59328,
1384,
1432,
1358,
2461,
3959,
72,
58128,
2003,
1458,
19451,
1525,
1895,
13658,
1508,
1875,
1385,
5066,
1458,
4695,
1432,
1980,
5354,
24046,
1502,
6052,
59342,
1384,
2271,
1523,
23078,
1510,
1358,
6691,
4598,
1385,
10857,
3821,
72,
3308,
59361,
59332,
11108,
3375,
1525,
58302,
1384,
2636,
1525,
1358,
20767,
2596,
26657,
3389,
2003,
6665,
1385,
2629,
1379,
7049,
19143,
9930,
72,
2063,
59361,
59332,
8148,
72,
4139,
1544,
4455,
1835,
2100,
59342,
1544,
4455,
1835,
1358,
2354,
1457,
2271,
1523,
17938,
1385,
58302,
72,
4441,
1523,
1458,
1694,
38501,
4455,
72,
5878,
1544,
6665,
1385,
4976,
8232,
1835,
2100,
40653,
72,
3163,
1859,
5365,
21209,
53682,
4623,
1432,
1358,
4174,
72,
3141,
6919,
4760,
1385,
7797,
26657,
3389,
6651,
1385,
9197,
59342,
8243,
38592,
10294,
72,
2063,
6651,
1520,
13085,
1432,
1859,
17833,
72,
1826,
2003,
1399,
1485,
1432,
1358,
36018,
1379,
9623,
1944,
1520,
1859,
5699,
72,
5878,
1544,
2424,
6897,
1358,
3547,
1379,
1859,
9623,
1944,
1377,
1358,
5235,
12161,
1379,
1358,
2675,
1377,
1697,
1544,
59361,
59332,
9253,
2054,
72,
3141,
59320,
59384,
59358,
59344,
59344,
1544,
2003,
1348,
2718,
5998,
3220,
72,
2063,
2003,
1919,
1759,
3487,
1701,
1457,
5729,
1707,
1379,
1358,
20953,
1523,
3220,
1385,
5276,
1457,
2676,
72,
1900,
1523,
2911,
2533,
1358,
1933,
2270,
2519,
1363,
2650,
72,
3141,
59320,
59384,
59358,
59345,
59344,
1544,
2003,
48283,
1357,
14710,
3493,
1384,
1348,
2718,
56753,
22132,
1411,
5738,
54096,
1367,
1520,
1358,
2295,
2075,
72,
25222,
10545,
1384,
1544,
11883,
6811,
1510,
59399,
59373,
59400,
1645,
1835,
2054,
72,
2522,
3268,
59342,
1358,
25603,
10358,
5455,
2003,
1843,
30058,
1379,
2024,
1523,
3661,
41394,
3638,
29075,
1408,
3826,
2596,
26657,
3389,
1523,
2911,
31520,
1462,
14474,
17243,
17674,
1384,
8232,
59651,
59337,
1773,
1966,
1348,
3515,
59651,
14824,
58128,
72,
1515,
15763,
1544,
11883,
6811,
1379,
11772,
13200,
15780,
1645,
31261,
1474,
22860,
72,
2063,
9471,
59361,
59323,
15967,
1835,
3375,
4877,
1377,
3597,
1384,
17316,
22687,
1421,
1458,
4602,
2412,
1510,
1469,
50698,
9386,
72,
2685,
1358,
17394,
4602,
1817,
15247,
59342,
26657,
3389,
25755,
1498,
23516,
20960,
1367,
11213,
1951,
1859,
36884,
56753,
22132,
1411,
1384,
3370,
1476,
2237,
1432,
1358,
2295,
2075,
72,
11190,
3130,
8091,
59320,
59345,
59320,
59349,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3141,
59320,
59384,
59358,
59345,
59362,
5228,
1379,
59320,
59384,
59358,
59345,
59370,
59651,
2113,
2434,
1410,
1525,
1358,
22572,
8965,
59651,
18979,
1523,
1458,
9618,
2718,
11354,
13978,
8202,
1520,
1358,
33386,
59342,
6293,
59342,
1577,
2583,
2667,
72,
1826,
1523,
1348,
2362,
9096,
13978,
59342,
1835,
1358,
13986,
1379,
1358,
38210,
1379,
1348,
8614,
21639,
1379,
1981,
48585,
1348,
2362,
2288,
6254,
4462,
1384,
31104,
4201,
4708,
1385,
3175,
1932,
5461,
59342,
1697,
1523,
1469,
50698,
9386,
72,
1507,
5467,
1379,
1457,
38210,
1508,
13978,
1523,
1573,
5488,
35637,
72,
2972,
59361,
59332,
1843,
1919,
1817,
1385,
16186,
49167,
59342,
1384,
1377,
1842,
2844,
1358,
3031,
2147,
1580,
1843,
1707,
1379,
16290,
3639,
1358,
2652,
3155,
9298,
1379,
1932,
6216,
59342,
1384,
2132,
1476,
1523,
4877,
1385,
6216,
1358,
9491,
4405,
1523,
1694,
53040,
72,
3055,
29732,
4877,
10882,
1476,
72,
4612,
1510,
4586,
59342,
1842,
8210,
59342,
1384,
2110,
2025,
1745,
1782,
72,
26657,
3389,
2579,
1573,
3671,
1358,
4602,
72,
2063,
1523,
16564,
1348,
12512,
1379,
11213,
1384,
8232,
1835,
1859,
2701,
4422,
72,
3163,
1348,
2664,
1374,
3027,
22390,
7653,
1348,
8614,
20394,
3871,
1859,
4598,
3303,
2705,
11000,
1865,
1384,
3109,
1402,
2524,
25773,
72,
1826,
4603,
1348,
53321,
1348,
2260,
25449,
1379,
28367,
1384,
26426,
72,
1507,
24963,
8237,
2579,
1573,
5848,
4258,
59342,
1696,
1358,
4611,
22390,
7653,
1376,
6381,
1384,
31503,
1421,
1895,
6254,
2533,
1476,
5248,
1385,
3547,
72,
47907,
1359,
31503,
2131,
1358,
34528,
3239,
59342,
1696,
1828,
1727,
1573,
2362,
25508,
1384,
1828,
5950,
11758,
72,
26657,
3389,
8681,
1367,
59399,
59345,
59344,
59400,
9625,
1510,
5047,
1348,
28977,
3259,
9412,
1421,
1358,
2718,
7653,
63,
37157,
59342,
1696,
1544,
2579,
1573,
2629,
1510,
1645,
1379,
1458,
1694,
1576,
11348,
2915,
2564,
1355,
1525,
1348,
13978,
1972,
1981,
21677,
2802,
3220,
2002,
28137,
10390,
4462,
72,
28185,
4760,
3661,
1544,
9712,
1348,
6396,
63,
2232,
1367,
1825,
3817,
10733,
1385,
1358,
33585,
72,
1826,
1523,
56985,
21007,
3556,
3250,
63,
29464,
5033,
72,
1826,
31503,
1384,
57108,
1640,
1556,
8947,
1358,
35948,
72,
1507,
2032,
1350,
1409,
1379,
1348,
8614,
21639,
1379,
1981,
21677,
2802,
1508,
1458,
10020,
4602,
1571,
1441,
9712,
1421,
28137,
10390,
59342,
1696,
1510,
1457,
6254,
1476,
4277,
59361,
59323,
6380,
2636,
1972,
1458,
38210,
72,
2063,
8491,
1859,
17674,
2750,
48584,
72,
5082,
1457,
1817,
2119,
1865,
2566,
63,
50294,
1379,
1358,
6147,
13655,
1432,
1358,
14321,
13624,
1523,
3827,
24808,
1384,
1753,
31261,
9246,
18086,
2175,
12174,
2055,
12174,
72,
1646,
2036,
52469,
1358,
37086,
3827,
9511,
1523,
10760,
1520,
53529,
72,
4429,
25763,
6651,
1385,
21589,
3827,
59340,
2269,
1385,
3716,
3965,
1348,
5485,
16186,
1523,
1432,
59342,
1508,
3375,
1753,
7466,
72,
14840,
4483,
1727,
5069,
59342,
2009,
3424,
72,
3030,
1358,
2809,
2003,
1358,
1616,
1362,
2545,
72,
3015,
1358,
20953,
32150,
59342,
1358,
31367,
11160,
5963,
1421,
5577,
1696,
24127,
72,
2972,
1523,
1348,
15146,
1377,
1358,
3532,
19304,
59342,
1697,
2003,
1843,
1396,
54058,
4586,
1384,
3427,
1929,
1385,
1441,
1570,
3142,
2350,
2517,
72,
2972,
1523,
1348,
32894,
2131,
1358,
3532,
4025,
1384,
11114,
1865,
49793,
5618,
8549,
1377,
19892,
72,
3330,
1727,
23865,
1379,
17190,
17876,
55408,
6436,
1385,
34829,
1510,
6256,
11429,
1432,
7150,
72,
1507,
5859,
5948,
20294,
1358,
14036,
59342,
1384,
1358,
14036,
20294,
1358,
5859,
5948,
59342,
1384,
2319,
1982,
1580,
1843,
2352,
72,
1507,
2809,
2003,
1843,
1733,
2364,
5247,
1421,
1733,
2288,
1457,
1887,
1727,
6216,
1574,
16392,
2545,
1525,
1793,
1487,
1374,
30650,
59342,
12850,
59342,
1385,
17827,
59342,
7341,
12657,
59342,
1384,
2237,
2517,
72,
2972,
1727,
15256,
14622,
19356,
1510,
4017,
6400,
2132,
37592,
5729,
1523,
5156,
1385,
5276,
1510,
1842,
12174,
72,
1507,
2104,
1379,
2291,
8976,
1727,
1616,
1451,
2630,
72,
2972,
1523,
5786,
5610,
1432,
23973,
1384,
1432,
7173,
11097,
1733,
1457,
1645,
23973,
11160,
1570,
32940,
1384,
1645,
59399,
59345,
59345,
59400,
11097,
10234,
53343,
72,
24336,
2329,
2286,
2193,
5649,
1385,
1348,
33083,
3233,
3612,
59342,
1384,
2121,
30123,
33291,
1385,
6267,
7536,
3612,
72,
1507,
20778,
1379,
1458,
3031,
1525,
16797,
3597,
1523,
29950,
10791,
1385,
17233,
1358,
14498,
1368,
4543,
1379,
5059,
12046,
72,
3163,
26657,
3389,
41655,
1859,
17674,
2750,
1759,
3487,
4569,
72,
1469,
1741,
39089,
14117,
59341,
1384,
1525,
2291,
3827,
4274,
3588,
1358,
11636,
18363,
31261,
9246,
1951,
1358,
3827,
1384,
1951,
42379,
4743,
1385,
32699,
5729,
1457,
45941,
1432,
25949,
1508,
1385,
9060,
19557,
63,
51236,
7653,
2379,
1510,
5729,
1766,
3363,
2174,
2286,
8738,
1457,
5175,
59361,
59323,
72,
3141,
7797,
63,
10768,
7379,
59342,
26657,
3389,
5530,
1385,
1358,
10990,
3857,
2473,
11344,
1697,
1544,
1523,
1385,
1896,
1536,
7872,
72,
1826,
1523,
1348,
16240,
1379,
1358,
7235,
2086,
1385,
14866,
17898,
49793,
1377,
1766,
52605,
1384,
4204,
1766,
6254,
3019,
17671,
1525,
13300,
1379,
10390,
4462,
72,
1507,
6761,
1523,
1385,
2144,
1348,
3098,
10405,
5077,
1379,
1358,
7138,
72,
2972,
1727,
1875,
17921,
1377,
1875,
2473,
63,
2382,
63,
59328,
1550,
11422,
59342,
2362,
4258,
4462,
72,
26657,
3389,
59361,
59328,
10044,
3638,
1421,
2054,
1385,
4204,
1766,
25285,
1525,
2351,
1875,
1895,
1817,
1536,
7872,
72,
7753,
1727,
15563,
8549,
1432,
13625,
16627,
1379,
1358,
50203,
11516,
72,
1646,
17691,
4760,
1508,
1733,
1379,
21332,
59342,
1358,
25285,
1379,
4746,
2213,
17921,
2286,
1441,
7076,
1450,
57644,
7236,
15679,
1384,
21989,
1377,
1385,
1358,
13625,
16627,
3943,
37279,
1865,
1358,
44188,
72,
11190,
3130,
8091,
59320,
59345,
59320,
59362,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
30912,
1434,
10430,
1371,
31261,
1952,
13376,
28341,
59342,
5254,
40729,
9146,
1525,
28137,
20114,
9499,
72,
3330,
1952,
2087,
1358,
8462,
4148,
1384,
1358,
9514,
2131,
2054,
1952,
1441,
5235,
59342,
1358,
7922,
2286,
1441,
2086,
1467,
47414,
63,
47617,
1385,
2661,
2002,
38026,
5300,
59342,
1384,
1377,
1348,
3155,
3424,
1887,
1952,
1441,
1348,
5077,
59651,
59324,
4627,
17767,
10309,
30292,
59361,
59328,
12063,
1421,
9682,
1384,
9237,
72,
4441,
1523,
1358,
19574,
72,
3163,
4719,
26657,
3389,
32390,
59361,
59323,
9712,
1379,
1476,
4681,
59342,
3375,
1523,
4877,
1385,
1580,
35482,
1525,
3597,
59342,
1384,
1348,
13978,
1972,
1458,
4602,
59399,
59345,
59349,
59400,
1523,
8202,
59342,
1384,
1645,
4226,
1952,
20923,
1441,
6847,
72,
1826,
1952,
1441,
10760,
1525,
1358,
8257,
59342,
4944,
59342,
1457,
1458,
4602,
6179,
1385,
1348,
8614,
63,
2232,
38210,
1523,
1348,
2362,
2718,
13978,
1421,
1358,
24193,
1379,
1348,
21816,
1600,
72,
1826,
1952,
1876,
1385,
1358,
50843,
3841,
1379,
4877,
2052,
45591,
59342,
4719,
59342,
1384,
1952,
1348,
1589,
1435,
9311,
49703,
72,
6078,
1434,
1733,
72,
3141,
59320,
59384,
59358,
59349,
59344,
59342,
26657,
3389,
3638,
1413,
2966,
1568,
1872,
1523,
35571,
1379,
2995,
72,
1507,
15976,
17921,
2086,
12057,
1773,
5398,
1384,
8023,
39386,
1379,
6254,
1520,
25169,
19492,
1384,
6125,
6303,
6799,
72,
2685,
1348,
6094,
1379,
20653,
1358,
12057,
1773,
5398,
2286,
1441,
44860,
1520,
1348,
49995,
59342,
1733,
1358,
2461,
11344,
2286,
1441,
2086,
1421,
7895,
2596,
9514,
5530,
1432,
72,
3163,
1358,
12057,
1773,
5398,
1727,
8779,
1377,
1348,
2362,
12884,
15132,
72,
1507,
5810,
2003,
1385,
1441,
12933,
7061,
2352,
1384,
1348,
10004,
21308,
11344,
2003,
1385,
1441,
1510,
1358,
3499,
1796,
1476,
1523,
1385,
1441,
2086,
1510,
1645,
72,
7016,
59342,
1887,
1523,
1919,
7150,
1385,
2314,
1348,
1782,
1385,
12770,
72,
2063,
2003,
1385,
1441,
18250,
2533,
4861,
59342,
1384,
1450,
1859,
11344,
12933,
2352,
59342,
3265,
72,
3055,
26657,
3389,
2295,
8109,
1358,
2316,
13046,
8577,
1384,
9680,
1432,
1358,
11344,
72,
2063,
2264,
4999,
1434,
59342,
1496,
7979,
1371,
1413,
2966,
1568,
72,
9425,
1371,
1413,
2966,
1568,
72,
26657,
3389,
11323,
1413,
2966,
1568,
72,
59354,
2063,
12861,
1476,
1895,
31497,
1379,
3651,
72,
2063,
1523,
1835,
1385,
3402,
1476,
1712,
1384,
2314,
58302,
5228,
1882,
1413,
2966,
1568,
20897,
72,
2063,
59361,
59332,
15808,
1524,
1348,
3515,
3661,
1910,
26657,
3389,
72,
1826,
1523,
2336,
4781,
1385,
11341,
1365,
59361,
21466,
72,
3163,
1413,
2966,
1568,
2003,
5051,
1358,
2314,
72,
3330,
15195,
1358,
20437,
1379,
1766,
17921,
3292,
2351,
1875,
72,
1496,
10612,
73,
59354,
2264,
26657,
3389,
1510,
2652,
72,
1496,
59355,
59361,
1699,
3193,
1450,
58302,
1384,
1432,
1707,
1379,
1358,
7138,
59342,
1384,
2110,
1554,
59361,
1699,
3370,
1476,
1645,
3985,
1384,
16259,
1476,
1712,
1384,
2661,
1476,
2697,
72,
59354,
1413,
2966,
1568,
8071,
72,
26657,
3389,
59342,
5500,
58735,
1434,
59342,
10492,
40896,
2493,
1544,
1523,
3220,
1385,
1580,
1385,
4984,
1385,
58302,
72,
2063,
2003,
6811,
3292,
1358,
1782,
59342,
1696,
58302,
59399,
59345,
59362,
59400,
1523,
59342,
1377,
1348,
2369,
59342,
1859,
27775,
7583,
58128,
5175,
59361,
59323,
2127,
1379,
1859,
9281,
1434,
1384,
58302,
2286,
30123,
8681,
1476,
72,
2063,
8669,
2002,
1385,
1413,
2966,
1568,
1384,
4759,
3300,
1358,
3857,
2473,
11344,
1385,
2144,
1348,
3870,
3193,
1450,
58302,
72,
1826,
1523,
2336,
6919,
4760,
2055,
11341,
72,
2063,
29081,
1358,
11344,
19497,
59342,
2295,
8109,
1358,
8577,
59342,
1384,
6651,
1385,
3255,
1467,
4999,
1434,
1467,
2533,
59342,
1496,
7979,
1371,
58302,
72,
9425,
1371,
58302,
72,
26657,
3389,
11323,
58302,
72,
7351,
72,
59354,
2063,
9680,
1358,
2873,
1421,
21308,
72,
58302,
59361,
59328,
10462,
5248,
27193,
59342,
24107,
59339,
1384,
28487,
17088,
1384,
2287,
7738,
72,
1496,
20839,
3389,
73,
48071,
1385,
1664,
73,
2972,
59361,
59328,
1919,
1817,
1385,
5320,
1664,
5729,
72,
1417,
59361,
1412,
3596,
1385,
5320,
1449,
72,
32198,
5248,
2524,
1707,
1379,
1358,
18086,
2438,
8742,
1458,
7946,
5123,
72,
1826,
35482,
1377,
1469,
50698,
9386,
59342,
1384,
1510,
1358,
2652,
12174,
1887,
1523,
1348,
51367,
38210,
1384,
1348,
2262,
1389,
20817,
8546,
57645,
1712,
1358,
1570,
3888,
1379,
1358,
17509,
72,
1507,
4562,
1457,
5248,
2524,
9391,
2467,
1877,
3126,
72,
1417,
7640,
1476,
59342,
26657,
3389,
73,
59354,
26657,
3389,
2194,
1837,
1367,
72,
1496,
59391,
5031,
63,
59324,
63,
1353,
74,
59354,
1496,
59353,
4562,
5248,
2524,
1707,
1379,
1358,
18086,
73,
59354,
1369,
19491,
58302,
72,
1496,
4453,
35482,
1377,
1358,
17509,
1450,
1348,
51367,
38210,
72,
1826,
5530,
1877,
72,
5878,
1476,
5248,
1712,
1385,
1358,
4793,
4760,
3661,
72,
1826,
3912,
1556,
72,
1826,
16157,
3628,
1712,
1384,
1707,
1379,
6288,
59342,
35197,
1508,
35034,
72,
5878,
1476,
7366,
2914,
1358,
17509,
1384,
5248,
1377,
1385,
1358,
29422,
72,
1420,
4562,
1972,
1348,
46307,
8354,
1384,
59320,
72,
72,
72,
36314,
3596,
1707,
1379,
1476,
72,
4612,
3797,
73,
59354,
5,
5,
4254,
3130,
8091,
59320,
59345,
5,
5,
59370,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
26657,
3389,
2194,
1837,
1367,
2517,
72,
1496,
26641,
2438,
59651,
59354,
1496,
44072,
3368,
59342,
12770,
73,
59354,
2264,
58302,
26653,
14474,
59342,
1496,
59355,
59361,
59335,
17909,
1449,
2024,
1417,
59361,
1412,
4755,
72,
24646,
1707,
1379,
1358,
18086,
72,
13712,
2021,
1457,
10217,
59361,
59323,
3797,
72,
3330,
35482,
1384,
1899,
1712,
3375,
1432,
1358,
29422,
72,
1417,
2424,
59361,
59323,
2127,
2024,
1476,
1410,
72,
4498,
1449,
3122,
74,
1507,
4562,
1410,
2524,
1887,
1377,
1358,
17509,
2336,
72,
23703,
1959,
72,
1417,
1571,
2198,
1476,
73,
59354,
26657,
3389,
4759,
29850,
72,
2063,
11381,
59361,
59323,
5842,
1536,
8641,
72,
2063,
11883,
6811,
1379,
29093,
7417,
1508,
1358,
1577,
2583,
2667,
3175,
72,
2063,
59361,
59332,
4755,
1348,
31104,
22390,
7653,
7714,
2524,
1358,
23365,
1600,
3871,
2995,
59342,
1384,
1544,
59361,
59332,
9712,
1348,
2955,
3493,
15117,
22497,
1844,
6491,
1358,
35948,
51797,
59345,
59370,
59400,
1696,
3628,
1972,
1457,
5175,
59361,
59323,
1876,
1712,
1385,
1348,
14886,
1972,
1536,
73,
5884,
1933,
47928,
1523,
1457,
58302,
1523,
1707,
1379,
1859,
3005,
72,
1496,
40147,
2620,
2264,
26657,
3389,
15563,
72,
1496,
10520,
59361,
59328,
1348,
3554,
8546,
1899,
1865,
1510,
1358,
6691,
4598,
72,
3330,
1896,
1476,
1645,
1358,
1817,
1421,
13200,
1384,
7417,
1384,
1733,
1432,
72,
2292,
1717,
1887,
1384,
2650,
17868,
2024,
1449,
59361,
1412,
4755,
72,
3015,
1358,
5433,
6910,
1933,
59342,
1384,
2110,
3079,
1385,
1748,
1348,
7324,
2128,
1385,
1358,
11290,
72,
59354,
58302,
59361,
59328,
10462,
5248,
2128,
2517,
59342,
1510,
4586,
1488,
4202,
1384,
1830,
18786,
1371,
59342,
1496,
17130,
4079,
59361,
59323,
5842,
1664,
72,
3330,
59361,
1699,
2629,
1417,
59361,
59335,
1348,
19312,
18781,
72,
2292,
1748,
1358,
5418,
1385,
25628,
1872,
59361,
1699,
7960,
72,
1417,
2198,
1358,
4562,
59342,
26657,
3389,
72,
1417,
1571,
2198,
1476,
2336,
72,
3141,
1536,
12174,
72,
2738,
58128,
59361,
59328,
1865,
1510,
1358,
6691,
4598,
59651,
59354,
26657,
3389,
1523,
26821,
2422,
3556,
1973,
6833,
72,
2442,
58128,
1523,
1510,
1358,
4598,
59342,
1510,
3999,
2271,
9471,
59361,
59323,
8178,
1450,
1348,
1782,
11642,
1707,
1379,
1859,
5365,
72,
1507,
7817,
1523,
4133,
72,
26657,
3389,
2003,
4755,
6811,
1707,
1379,
1358,
20953,
59342,
1733,
58302,
59361,
59328,
2650,
15948,
57715,
72,
1496,
40147,
2438,
73,
59354,
1369,
19491,
58302,
2517,
72,
1496,
2219,
4562,
5248,
2524,
72,
2972,
1523,
1348,
51367,
38210,
72,
1826,
9391,
2467,
72,
26187,
11222,
1421,
1348,
2596,
72,
5878,
1476,
5248,
1712,
1384,
2303,
1348,
2885,
2132,
1476,
2286,
3611,
1385,
29422,
72,
24646,
5248,
1707,
1379,
1476,
72,
1417,
1571,
59361,
59323,
8666,
2054,
72,
3330,
59361,
1352,
3879,
1359,
2478,
1377,
1863,
12914,
33771,
59328,
72,
3163,
1828,
10217,
59361,
59323,
3441,
73,
1420,
3718,
1379,
2054,
5248,
1707,
72,
3330,
6651,
1385,
4529,
3628,
72,
32914,
72,
3330,
1899,
1476,
1712,
72,
1417,
2424,
59361,
59323,
2127,
2024,
1476,
1410,
72,
6264,
1379,
2054,
5530,
20010,
72,
1417,
7640,
1348,
1369,
3142,
1379,
24054,
2132,
3375,
7366,
72,
26657,
3389,
74,
59354,
1496,
59355,
59361,
59335,
18250,
2620,
2264,
26657,
3389,
72,
1496,
10572,
1432,
73,
59354,
1496,
18646,
1536,
73,
59354,
13428,
58302,
26620,
1783,
1434,
72,
1496,
4269,
1476,
1385,
25603,
10358,
1377,
27789,
59342,
1508,
16836,
73,
1507,
6020,
1379,
36314,
1457,
5530,
2002,
20010,
19216,
59361,
59323,
3611,
2237,
72,
1417,
59361,
59335,
13406,
72,
1417,
59361,
1699,
2650,
11932,
1417,
2198,
72,
4979,
1536,
1385,
1358,
4694,
72,
1900,
1410,
2902,
72,
1417,
1571,
59361,
59323,
5842,
1476,
59342,
1696,
1417,
2198,
1476,
72,
13599,
1476,
59342,
4766,
73,
42085,
59345,
59367,
59400,
5884,
10462,
15496,
72,
26657,
3389,
3750,
8158,
2902,
4977,
1358,
11344,
2517,
1421,
1413,
2966,
1568,
59342,
28137,
10390,
1385,
1358,
35571,
72,
1413,
2966,
1568,
33947,
20897,
1358,
1933,
2314,
72,
2063,
2264,
1377,
1458,
57644,
2467,
10462,
59342,
1496,
15934,
73,
1417,
2042,
3596,
1348,
2314,
1525,
20435,
72,
1826,
5128,
1457,
1358,
11290,
11883,
1887,
1523,
1348,
20435,
2840,
1377,
2438,
59342,
1384,
1828,
3638,
1385,
3255,
1457,
3363,
2174,
2003,
34077,
3375,
6421,
2524,
1525,
3597,
59342,
2352,
2055,
7797,
1365,
59361,
21466,
72,
3330,
6664,
1385,
2127,
1796,
1842,
1379,
1531,
53233,
1357,
2611,
49167,
14619,
5729,
47435,
1835,
1457,
1817,
72,
59354,
26657,
3389,
59361,
59328,
56286,
1361,
3173,
2350,
25146,
72,
58302,
59361,
59328,
2650,
2003,
59192,
2995,
59342,
1696,
1753,
1421,
1358,
1782,
59361,
59328,
14091,
1499,
1910,
5729,
3686,
72,
3163,
1476,
2286,
1441,
2759,
73,
2738,
27193,
1544,
35145,
1457,
58128,
1523,
2362,
3679,
1358,
2885,
2132,
52478,
6612,
1434,
16070,
3628,
1727,
15894,
72,
1496,
59408,
2160,
2042,
5793,
1664,
2620,
2264,
26657,
3389,
59342,
1859,
10462,
1694,
38982,
59339,
59342,
1496,
13383,
1544,
7640,
3375,
3611,
2524,
72,
5884,
5024,
1523,
1733,
8243,
1417,
5175,
59361,
59323,
5842,
1476,
72,
3163,
1449,
2843,
1476,
1432,
1384,
3255,
1457,
58302,
59361,
59328,
13406,
1476,
72,
2063,
59361,
59328,
11072,
1421,
12902,
72,
2063,
59361,
1699,
2650,
5577,
1544,
21891,
72,
1417,
59361,
59335,
28137,
10390,
1525,
2995,
59342,
1696,
1544,
1571,
2198,
1358,
4562,
1457,
5248,
2524,
72,
14198,
1358,
36314,
1377,
1476,
1571,
2198,
2995,
72,
48071,
73,
59354,
5,
5,
4254,
3130,
8091,
59320,
59345,
5,
5,
59367,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2063,
12861,
2042,
2024,
58302,
2003,
5793,
2995,
72,
6264,
8210,
59342,
17909,
1476,
1385,
5307,
3686,
59342,
1476,
15948,
1510,
4586,
2478,
3249,
2902,
1696,
1753,
55814,
7689,
1467,
1348,
3259,
12547,
1385,
58128,
72,
1826,
5175,
59361,
59323,
20627,
2995,
1421,
59333,
7506,
1457,
1875,
2104,
1727,
50524,
59342,
3265,
72,
4139,
1413,
2966,
1568,
8669,
2002,
1385,
5649,
1358,
2650,
59342,
26657,
3389,
2303,
9930,
13243,
1959,
1348,
3515,
72,
32198,
2003,
3611,
2524,
1707,
1379,
3597,
72,
1507,
2354,
15948,
1385,
2995,
17229,
1384,
2339,
22875,
72,
5884,
5365,
6534,
1404,
8840,
1510,
1358,
5010,
1379,
2635,
63,
23109,
36314,
1872,
2286,
2610,
18469,
1384,
5848,
2128,
3597,
59342,
1696,
3363,
2174,
2003,
4877,
1358,
20778,
1379,
1348,
10370,
59342,
1384,
1887,
1727,
5682,
51359,
1457,
8742,
18405,
58302,
59361,
59328,
3775,
59342,
1697,
1523,
1887,
59399,
59345,
59381,
59400,
2184,
1573,
1348,
35866,
19312,
18781,
5437,
1385,
1580,
4755,
1358,
17110,
72,
32198,
2003,
11222,
1384,
1753,
1523,
5156,
1385,
59342,
1384,
58128,
1523,
1377,
1358,
7536,
1379,
1476,
72,
2063,
4759,
3300,
1358,
11344,
2237,
1385,
58302,
59361,
59328,
4310,
72,
5884,
8512,
1570,
1718,
59342,
4719,
1348,
1789,
1379,
1859,
5365,
52353,
19872,
1347,
3027,
1457,
1474,
27197,
1727,
3298,
4028,
2009,
3424,
59342,
1384,
1377,
3298,
6423,
1745,
2003,
1385,
2715,
2054,
1467,
3446,
1361,
3417,
1379,
1496,
59391,
7637,
73,
59354,
3163,
1745,
11883,
1457,
1895,
2676,
1358,
1366,
7637,
3427,
3098,
3611,
72,
22882,
1476,
2003,
72,
72,
72,
72,
26657,
3389,
2303,
1476,
5322,
1385,
13215,
1358,
19765,
15132,
1385,
58302,
59361,
59328,
5235,
5461,
72,
2063,
29232,
9930,
1457,
1544,
1523,
1348,
36167,
1385,
1441,
23764,
59375,
1457,
1796,
24127,
1727,
1385,
3611,
1476,
1952,
1441,
1520,
1358,
1581,
13163,
4348,
1379,
3797,
5500,
1910,
2128,
36314,
1525,
8947,
1358,
11923,
72,
2738,
7671,
72,
72,
72,
72,
3163,
1887,
1727,
1875,
3797,
1510,
1875,
6400,
1872,
10492,
3249,
15738,
20665,
2583,
72,
1507,
2650,
1525,
58302,
5530,
1385,
1358,
25603,
10358,
5455,
1384,
2110,
1437,
1385,
1358,
32218,
7443,
72,
29794,
1358,
10358,
5455,
13428,
1348,
8334,
63,
1352,
1596,
3003,
30526,
10427,
1385,
10430,
1469,
50698,
9386,
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1474,
22860,
72,
1646,
1358,
32218,
7443,
59342,
1392,
1606,
2168,
16186,
1367,
5600,
13945,
6651,
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11942,
13200,
1385,
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1939,
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2174,
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63,
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4123,
10119,
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72,
2972,
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63,
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72,
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1523,
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7135,
1379,
1842,
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1379,
26272,
59342,
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7879,
1707,
1348,
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1573,
1510,
1645,
12771,
1377,
1358,
3532,
4025,
72,
27114,
59342,
4719,
59342,
2555,
3388,
1432,
2024,
1358,
11091,
3003,
30526,
10427,
21248,
3427,
2087,
72,
26657,
3389,
2579,
1573,
2198,
1358,
10427,
7172,
21088,
1434,
8861,
1476,
72,
2972,
1523,
1358,
1368,
1485,
2561,
1379,
10715,
59335,
2081,
1919,
4844,
1377,
1358,
18086,
72,
1826,
7366,
41789,
1434,
10007,
1358,
7894,
59342,
1346,
3551,
11760,
2175,
72,
1507,
10427,
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2563,
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43133,
72,
1826,
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3806,
1358,
9491,
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16730,
1707,
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1645,
1358,
8055,
28341,
72,
1826,
5530,
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1384,
1432,
59399,
59345,
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1384,
44261,
6982,
1707,
8947,
1358,
23365,
10007,
1469,
50698,
9386,
72,
26657,
3389,
6665,
1385,
1748,
58302,
2237,
59342,
1385,
5320,
2995,
1457,
3363,
2174,
2003,
21360,
1859,
2650,
1384,
1457,
1476,
1952,
1441,
33301,
1432,
1520,
1358,
8849,
72,
3163,
4719,
1544,
3638,
1384,
3638,
59342,
1887,
1523,
1919,
3978,
72,
2426,
22593,
4553,
1434,
2288,
1817,
3661,
1358,
1368,
5362,
1384,
1726,
2763,
29144,
6380,
1379,
1358,
10427,
57645,
2237,
4073,
1358,
15784,
1643,
72,
26657,
3389,
2911,
2579,
1573,
8027,
1476,
72,
2063,
1523,
3265,
14239,
1450,
1859,
15441,
1385,
6267,
58302,
2517,
59342,
1384,
1450,
2197,
1360,
1434,
8402,
1347,
1798,
1379,
2024,
3427,
1441,
3952,
1520,
34525,
1643,
1525,
3351,
2809,
1882,
1828,
2303,
1358,
1758,
8858,
3679,
1358,
17509,
59651,
1483,
58128,
3836,
2054,
72,
2063,
57050,
36367,
57145,
58023,
1510,
9267,
2030,
1377,
2024,
1828,
3427,
3036,
10312,
12741,
1379,
55661,
45063,
72,
3163,
21209,
2478,
1457,
1523,
3249,
44225,
1910,
1358,
5495,
1457,
6603,
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20088,
1457,
1358,
10040,
2417,
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1358,
8922,
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3797,
72,
1496,
7979,
1371,
58302,
59320,
72,
72,
72,
58302,
59342,
3611,
1377,
73,
59354,
2063,
47799,
59333,
1769,
12861,
1358,
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1951,
1358,
11344,
59361,
59328,
49995,
72,
1496,
20839,
3389,
11323,
58302,
73,
21997,
1377,
59342,
1782,
73,
21997,
1377,
73,
59354,
2063,
2295,
8109,
1358,
8577,
1384,
48658,
72,
2738,
58302,
59361,
59328,
10462,
5248,
72,
1496,
59355,
59361,
59335,
2438,
72,
59354,
1507,
10462,
1570,
1718,
72,
1496,
59355,
59361,
1412,
1843,
5220,
1385,
2163,
2132,
1457,
20010,
6020,
5530,
72,
59354,
5,
5,
4254,
3130,
8091,
59320,
59345,
5,
5,
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5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
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59342,
1520,
30226,
3013,
3881,
1349,
72,
26657,
3389,
36216,
1358,
12067,
8577,
1384,
2264,
57888,
59342,
1496,
2219,
11290,
6575,
20435,
1796,
1842,
1379,
1531,
2003,
4755,
5729,
3611,
2524,
1525,
1358,
18086,
72,
1417,
8023,
1413,
2966,
1568,
1615,
2650,
1385,
1441,
5649,
1367,
72,
1826,
59361,
59328,
11642,
1385,
1358,
32218,
7443,
2336,
72,
7753,
3363,
2174,
4877,
14203,
1358,
4562,
2524,
1385,
1348,
24193,
3679,
1449,
72,
6183,
12770,
73,
2292,
1717,
1385,
1358,
6691,
4598,
72,
8013,
5156,
1828,
59361,
1699,
1748,
13200,
1385,
4104,
1707,
59342,
1520,
3554,
8546,
72,
3163,
1449,
1717,
1887,
73,
9919,
3221,
58128,
59361,
59328,
1645,
2352,
72,
5611,
2100,
1385,
6470,
72,
59354,
1507,
8577,
4586,
1753,
72,
58302,
59361,
59328,
10462,
1523,
45596,
72,
1496,
59353,
59320,
72,
72,
72,
2596,
5123,
1348,
6020,
1379,
1358,
36314,
4603,
4462,
1525,
1358,
17509,
72,
2426,
20010,
6020,
59342,
1417,
2629,
72,
11152,
1417,
7640,
1348,
1369,
3142,
1379,
24054,
1467,
1796,
1828,
59361,
59332,
2086,
1348,
25448,
72,
1417,
59361,
59335,
23764,
1828,
1982,
2163,
1358,
6691,
4598,
59342,
1384,
58128,
72,
72,
72,
72,
59354,
1709,
59345,
59384,
59400,
26657,
3389,
5813,
1859,
14821,
72,
58302,
2264,
1694,
38982,
2168,
59342,
1496,
59355,
59320,
72,
72,
72,
1571,
59361,
59323,
2163,
2132,
1828,
5530,
72,
72,
72,
72,
1420,
3515,
2596,
5123,
1766,
10370,
27243,
1707,
1951,
1358,
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1384,
1357,
2231,
72,
7672,
15449,
3027,
73,
1417,
2424,
59361,
59323,
2127,
3882,
72,
3163,
1887,
59361,
59328,
1348,
6020,
1379,
2608,
59320,
72,
72,
72,
36314,
1707,
20010,
73,
1417,
2424,
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2127,
2024,
1828,
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1699,
1675,
72,
72,
72,
72,
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26657,
3389,
2264,
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1442,
1769,
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1496,
4269,
1385,
1358,
4598,
1384,
2193,
2055,
58128,
73,
1507,
1758,
8858,
1982,
1580,
9275,
33919,
72,
1507,
11290,
59361,
1699,
2127,
1520,
1536,
1817,
2024,
59361,
59328,
11222,
72,
3330,
59361,
1699,
6001,
6788,
2545,
1385,
1748,
1449,
1707,
72,
3330,
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1699,
6001,
2111,
1379,
1895,
6031,
59342,
21209,
72,
3163,
1449,
2193,
2055,
58128,
73,
59354,
58302,
59361,
59328,
10462,
6847,
72,
1496,
24544,
72,
1417,
9712,
3375,
72,
27159,
73,
59354,
9555,
1647,
72,
39178,
26657,
3389,
1887,
1727,
1358,
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11771,
1379,
1358,
8243,
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72,
1646,
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2563,
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1448,
5532,
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4844,
72,
57172,
3638,
72,
2972,
1727,
2608,
2718,
44406,
1576,
1371,
1384,
23141,
3493,
1384,
1981,
63,
29464,
5033,
11771,
1697,
1377,
1358,
8243,
31893,
2911,
2714,
72,
1420,
19777,
1371,
6380,
1525,
1358,
20300,
72,
58302,
59361,
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10462,
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72,
1496,
13184,
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72,
72,
72,
20010,
6020,
72,
1826,
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2438,
73,
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1580,
10342,
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1807,
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72,
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1352,
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1421,
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72,
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1664,
73,
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6421,
72,
72,
72,
72,
59354,
2972,
1523,
1348,
16622,
1371,
6380,
1467,
1796,
58302,
2003,
16432,
1358,
2656,
20906,
72,
2972,
1727,
42360,
1798,
59342,
1384,
1358,
6380,
1379,
17233,
59328,
59342,
1384,
5845,
7477,
16582,
1363,
1499,
59651,
15073,
9053,
63,
23830,
16582,
1363,
1499,
59651,
1347,
58302,
59361,
59328,
10462,
72,
5878,
3375,
1825,
2406,
72,
26657,
3389,
48658,
59342,
1859,
8512,
1584,
1673,
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2847,
1510,
1859,
2701,
10234,
53343,
2714,
72,
2063,
4455,
1544,
9712,
18697,
72,
11152,
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1523,
3221,
1544,
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6380,
1972,
1358,
1694,
1909,
1438,
28487,
2382,
1379,
1458,
8968,
1432,
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12738,
72,
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1434,
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1544,
9712,
4386,
59321,
1622,
1798,
72,
2063,
11883,
1457,
5307,
1508,
3375,
2003,
10342,
1712,
58302,
59361,
59328,
2656,
20906,
72,
5547,
4386,
59321,
1622,
1798,
59342,
21209,
43440,
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72,
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1895,
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72,
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72,
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72,
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2966,
1568,
59361,
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72,
2063,
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1377,
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10462,
3639,
1413,
2966,
1568,
20897,
72,
2063,
4877,
1450,
2510,
34517,
2568,
2042,
2024,
58302,
2003,
2264,
59342,
1384,
2024,
1544,
59361,
59332,
9712,
2055,
58302,
15496,
16033,
59651,
2445,
1825,
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6380,
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72,
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1568,
15748,
1845,
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72,
3141,
26657,
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2637,
13225,
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1544,
7600,
2524,
2291,
3848,
72,
5878,
1544,
2264,
16143,
6508,
1457,
13200,
2003,
3611,
1525,
20435,
72,
1507,
11290,
6664,
24529,
1707,
1379,
1358,
1469,
50698,
9386,
2957,
72,
58302,
1523,
1385,
1580,
1843,
13428,
1707,
72,
1507,
1758,
8858,
1727,
13428,
1707,
72,
26657,
3389,
1523,
1385,
1748,
1707,
1379,
1358,
2957,
1467,
5950,
1467,
3259,
72,
11190,
3130,
8091,
59320,
59345,
59320,
59387,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
4139,
1413,
2966,
1568,
8669,
2002,
59342,
26657,
3389,
28457,
2002,
1358,
2656,
20906,
72,
2063,
3370,
1476,
2132,
1476,
1952,
1441,
9986,
6898,
1525,
1358,
9780,
72,
2063,
27544,
1859,
37248,
7470,
72,
1420,
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2524,
25773,
1384,
3151,
10390,
11634,
1887,
1523,
1348,
24639,
5775,
1385,
1469,
50698,
9386,
72,
4139,
1358,
5433,
1523,
8354,
1385,
1358,
3049,
1476,
1952,
1441,
2119,
2086,
59342,
1696,
1358,
2652,
9511,
1544,
59361,
59332,
4755,
1523,
1358,
3510,
24816,
63,
1586,
3022,
1379,
1358,
13337,
10284,
10872,
3059,
72,
4441,
8377,
7916,
2003,
11642,
1712,
1385,
1469,
50698,
9386,
1358,
2676,
2533,
72,
2063,
2563,
1859,
2369,
1385,
1358,
24639,
59342,
2800,
1348,
3211,
2444,
1385,
1358,
9297,
2132,
1544,
59361,
59332,
3428,
1859,
2701,
2368,
7138,
1367,
72,
2063,
3596,
1951,
1476,
1384,
4603,
1358,
8161,
72,
2063,
7366,
1450,
1348,
4505,
6595,
4918,
57591,
5773,
72,
2063,
11883,
59342,
1379,
3884,
59342,
1457,
2024,
1544,
1523,
3220,
1385,
1675,
1523,
40109,
72,
1826,
1523,
7083,
10761,
72,
1826,
1523,
11575,
1816,
41984,
72,
3163,
1544,
5530,
10076,
72,
2063,
22687,
7894,
2175,
59342,
25362,
1358,
3515,
2368,
1385,
1932,
2705,
5470,
72,
1900,
1523,
1573,
2800,
1859,
12902,
72,
2063,
9471,
59361,
59323,
11231,
1358,
5433,
2957,
72,
2063,
1523,
20194,
59399,
59349,
59344,
59400,
1421,
1469,
50698,
9386,
72,
58128,
1523,
1887,
1384,
1544,
1952,
3671,
29964,
4094,
1421,
1645,
1817,
1796,
1544,
33301,
1972,
1348,
44873,
1782,
1384,
3596,
1385,
6470,
1467,
1544,
1523,
13428,
72,
47606,
3588,
1358,
24639,
59342,
3375,
10545,
1385,
2995,
72,
1507,
3857,
2473,
11344,
2003,
1385,
1441,
12933,
7061,
2352,
1421,
58302,
1508,
1413,
2966,
1568,
1385,
4704,
1712,
1859,
10462,
1467,
8937,
1520,
1932,
15132,
72,
58302,
59361,
59328,
1508,
1413,
2966,
1568,
59361,
59328,
17921,
2003,
1385,
1441,
12933,
1467,
19497,
1385,
24426,
1766,
30989,
1385,
2995,
72,
20217,
2055,
1358,
21255,
1544,
59361,
59332,
1865,
1351,
1578,
59342,
1384,
2055,
58302,
2003,
1843,
3569,
1926,
1625,
1367,
1508,
11605,
59342,
5307,
1508,
3375,
15948,
1385,
1580,
10342,
1712,
1358,
2656,
20906,
59342,
1384,
26657,
3389,
2003,
9712,
4386,
59321,
1622,
1798,
59342,
1384,
2110,
1544,
2003,
9712,
1358,
11344,
2192,
16427,
72,
1826,
1523,
1573,
4302,
1385,
3122,
1980,
1358,
15132,
2003,
1843,
11343,
15021,
29081,
2596,
1476,
1523,
10342,
1712,
1384,
4386,
59321,
9886,
1510,
72,
20894,
3249,
1523,
1476,
3122,
1597,
1457,
1476,
12102,
12933,
2042,
2352,
1733,
1544,
2286,
8861,
1882,
1476,
1523,
2295,
3300,
2524,
1384,
52459,
72,
3163,
21209,
1536,
10398,
1499,
2579,
1573,
3020,
1859,
21136,
72,
58128,
2286,
1441,
1377,
12547,
1525,
36314,
58302,
2264,
1727,
1573,
3441,
72,
26657,
3389,
5175,
59361,
59323,
1477,
21421,
5249,
1457,
2635,
63,
23109,
8453,
59342,
1696,
3375,
1523,
15894,
1887,
1384,
58128,
1523,
1377,
1358,
7536,
1379,
1476,
72,
3055,
1544,
5530,
1385,
2198,
1835,
1476,
1421,
1358,
35364,
1379,
1859,
2276,
63,
51292,
72,
2738,
58128,
72,
1826,
1523,
1573,
15251,
5191,
72,
1826,
1523,
14498,
72,
2063,
5175,
59361,
59323,
4976,
1385,
3361,
2024,
1523,
2495,
34087,
1384,
2024,
9471,
59361,
59323,
72,
26657,
3389,
5175,
59361,
59323,
2478,
3402,
1842,
6674,
1385,
1358,
2905,
1379,
1980,
1348,
28168,
15132,
2286,
5671,
20093,
7061,
2352,
2596,
1358,
11344,
1457,
5159,
1476,
1523,
10342,
1712,
59342,
1384,
4386,
59321,
9886,
1510,
59342,
1384,
2192,
16427,
72,
2063,
8023,
1457,
3825,
6094,
1919,
4455,
1510,
1645,
72,
2063,
1616,
32469,
2524,
1358,
17159,
2073,
1379,
1358,
2368,
1384,
22687,
1421,
1469,
50698,
9386,
72,
59399,
59349,
59345,
59400,
5,
5,
4254,
3130,
8091,
59320,
59349,
5,
2219,
2368,
1523,
20953,
4708,
59375,
1476,
1523,
1745,
1379,
2608,
41637,
63,
4192,
11522,
1697,
10922,
3249,
11865,
1384,
3176,
3249,
7068,
1910,
1358,
1733,
63,
16671,
3751,
3530,
72,
2522,
11865,
11064,
3265,
59342,
1932,
5470,
2003,
1843,
42628,
72,
3163,
26657,
3389,
5159,
1476,
1712,
1358,
6647,
63,
2741,
24639,
1467,
5453,
1467,
1476,
1952,
1717,
72,
6183,
1358,
24639,
6603,
1348,
5978,
28031,
1450,
1348,
1664,
10739,
63,
5196,
8093,
72,
6183,
1476,
15948,
1385,
4704,
1932,
2369,
2131,
1584,
29403,
59342,
1384,
1432,
14200,
1476,
12369,
1865,
1348,
14436,
13573,
37740,
1895,
41789,
1434,
33793,
7546,
72,
3141,
3999,
4586,
1476,
5530,
2128,
1348,
4804,
1697,
3427,
1467,
2119,
1580,
1843,
1348,
24982,
59342,
1384,
1358,
19312,
3493,
10733,
1379,
1932,
8161,
11243,
1367,
2237,
1525,
1433,
4774,
14792,
1432,
3569,
3700,
72,
2063,
2579,
1573,
2198,
3351,
7916,
1421,
1348,
2288,
2369,
72,
2748,
1349,
59342,
1544,
7640,
11171,
72,
7351,
1384,
1865,
2517,
1361,
1866,
1729,
1379,
2718,
17762,
32985,
1367,
1712,
1525,
42003,
1358,
5800,
1384,
1383,
2912,
1385,
4405,
2055,
1544,
2003,
8627,
72,
11152,
1544,
7640,
8808,
1707,
1379,
1358,
11490,
1379,
1859,
8159,
1384,
11160,
9625,
1385,
2198,
2024,
1476,
1523,
59342,
1696,
7640,
6811,
72,
10363,
10559,
1457,
1476,
1523,
5490,
1348,
14329,
56269,
59342,
2194,
3551,
15021,
1450,
1932,
6882,
1467,
1476,
23740,
1358,
2368,
72,
3141,
1358,
2164,
1379,
4488,
10390,
1544,
7640,
1348,
8161,
15764,
59342,
9077,
59342,
1560,
1660,
3493,
4462,
1525,
1469,
50698,
9386,
1384,
1358,
6691,
4598,
10007,
1358,
11190,
3130,
8091,
59320,
59349,
59320,
59384,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
16797,
2809,
72,
1507,
1939,
11522,
8627,
59342,
20471,
1385,
2144,
1348,
6068,
1629,
1825,
3817,
10733,
1510,
1766,
9816,
72,
1507,
15764,
1523,
1573,
1377,
1348,
17438,
1687,
72,
1826,
5809,
1399,
4765,
1367,
3588,
1450,
24963,
8072,
1377,
1932,
27766,
3597,
1488,
2966,
3493,
1384,
29734,
1371,
25508,
1434,
72,
9104,
9393,
1384,
1859,
25606,
15135,
1434,
11883,
6811,
1379,
30115,
1424,
1578,
4413,
6491,
2054,
72,
3330,
59361,
59332,
59399,
59349,
59349,
59400,
5490,
15496,
16836,
1385,
1580,
1348,
33320,
1434,
7872,
37840,
59342,
1450,
1358,
15764,
11072,
1421,
2054,
1510,
1358,
5800,
3811,
72,
26657,
3389,
5530,
1432,
6919,
10390,
1753,
72,
2063,
1441,
1755,
1528,
4918,
1358,
25285,
4400,
1520,
16724,
1377,
1358,
5800,
72,
2063,
43811,
1385,
1368,
3305,
1882,
1859,
1877,
30903,
2368,
8027,
3556,
6713,
1367,
1712,
1432,
26512,
59342,
1384,
5410,
1358,
2288,
6915,
72,
2063,
7640,
1348,
16580,
53292,
1712,
1348,
24094,
3811,
40740,
1377,
1932,
51412,
1379,
1348,
1376,
7552,
13894,
1385,
6092,
1358,
2368,
1717,
1520,
3871,
1476,
72,
2063,
7640,
1753,
40850,
72,
11152,
1348,
8029,
8968,
59342,
5490,
1348,
1955,
59339,
2578,
59342,
1383,
2912,
1951,
1348,
13894,
1379,
23994,
6593,
1384,
24997,
12940,
1467,
2288,
1467,
1358,
2368,
12102,
1377,
19030,
72,
5547,
10390,
1379,
9077,
24639,
72,
2738,
2110,
1348,
2288,
59342,
8472,
16010,
1379,
5800,
59342,
1384,
1544,
25146,
7640,
11522,
6421,
2914,
1358,
10755,
1510,
1358,
2164,
1379,
1476,
72,
3330,
1727,
1573,
1377,
2473,
59342,
3331,
49295,
59342,
1467,
9511,
6053,
1410,
1432,
1348,
10755,
72,
9627,
47959,
1727,
12179,
72,
1507,
5800,
1523,
21806,
1520,
8161,
63,
21874,
9511,
20194,
4462,
1525,
1358,
17509,
59342,
1384,
1573,
1510,
1348,
20215,
21771,
59342,
1696,
1377,
3005,
5750,
12421,
72,
1826,
1825,
2406,
1432,
10007,
26657,
3389,
72,
8990,
29521,
1384,
3515,
6915,
59375,
23569,
10757,
1377,
2131,
2054,
59375,
1348,
3155,
8161,
19756,
2308,
39212,
1712,
1525,
1358,
16939,
1520,
22071,
1432,
1358,
5800,
59361,
59328,
40151,
72,
3330,
1727,
12099,
22736,
59342,
1467,
1796,
1520,
1895,
7094,
1622,
1358,
2607,
2003,
1843,
5278,
1520,
2407,
29521,
3537,
1461,
1597,
1379,
1358,
5800,
5470,
1379,
2608,
6491,
2054,
59342,
4681,
1450,
1358,
2287,
7738,
1396,
2641,
1572,
10757,
13899,
1385,
2843,
72,
2972,
1523,
1348,
2927,
4764,
1384,
1825,
3817,
1379,
35718,
1457,
12179,
1358,
3827,
72,
3330,
1594,
3300,
1367,
10007,
26657,
3389,
59361,
59328,
53321,
5800,
5922,
72,
44922,
6516,
1986,
2194,
2406,
72,
26657,
3389,
3596,
2002,
1358,
24639,
1384,
9560,
1358,
2352,
63,
4861,
22538,
72,
2063,
15496,
72,
1507,
48498,
4240,
1379,
55940,
11522,
1825,
2406,
1712,
1385,
2995,
1384,
5530,
4109,
72,
3330,
1727,
1753,
22421,
1910,
1544,
59361,
59332,
14880,
72,
2972,
1727,
29934,
1380,
2181,
29521,
72,
2972,
1727,
15764,
63,
1483,
63,
53954,
1349,
19204,
72,
2972,
1727,
12813,
1611,
1384,
20960,
29521,
1384,
2478,
1348,
7952,
2065,
1508,
1939,
59342,
1384,
2110,
1753,
59399,
59349,
59362,
59400,
29521,
59651,
10431,
16494,
29521,
59651,
1483,
1753,
12813,
1611,
1384,
5047,
63,
2232,
4536,
59651,
59324,
4545,
1384,
3879,
3389,
4938,
1379,
2291,
4279,
1379,
54267,
63,
21874,
7916,
1457,
2286,
1441,
15925,
1432,
1348,
24639,
1384,
2086,
1432,
1348,
6691,
2515,
72,
2738,
2291,
1745,
1523,
48498,
1450,
3797,
72,
22979,
1349,
63,
1586,
12962,
2003,
1766,
3795,
15108,
2617,
59342,
1384,
1828,
1727,
22736,
1450,
1358,
1758,
8858,
1379,
1358,
6691,
4598,
3679,
1469,
50698,
9386,
72,
1507,
12813,
1611,
1727,
1616,
32469,
1450,
21956,
72,
1479,
9262,
1380,
2181,
29521,
2003,
3797,
13902,
5453,
1385,
2587,
3970,
59328,
59342,
1384,
1887,
1727,
3797,
1377,
1358,
44495,
1379,
1358,
20960,
29521,
72,
1507,
18525,
9511,
12179,
1358,
24639,
1525,
8793,
1385,
8793,
72,
1826,
51553,
4109,
59342,
7687,
2002,
1348,
45439,
6612,
1825,
1370,
1384,
34093,
1379,
54267,
1368,
11049,
72,
3330,
1727,
11642,
59342,
1358,
7098,
4240,
1379,
2054,
1510,
1842,
3696,
72,
3163,
2336,
1887,
5248,
7863,
10757,
59342,
1919,
3249,
48498,
59342,
1384,
2110,
1753,
29537,
10757,
59342,
1573,
48498,
1733,
2636,
1384,
3249,
2287,
1516,
2323,
25362,
1510,
2608,
10076,
72,
3163,
2478,
2009,
10757,
8627,
2351,
1875,
55372,
21779,
72,
2972,
15948,
1385,
1441,
1458,
5738,
46825,
1583,
13226,
1379,
2560,
2652,
72,
4502,
2368,
4759,
3300,
2002,
1385,
1932,
3428,
72,
2972,
1727,
4488,
3797,
1377,
1476,
72,
1826,
2123,
9886,
1384,
15496,
1432,
1358,
22538,
4781,
1385,
26657,
3389,
59361,
59328,
2368,
72,
1507,
9393,
1570,
39557,
3806,
1358,
25117,
1379,
13964,
35718,
59342,
1496,
6577,
2424,
59361,
59323,
2235,
1385,
1717,
1712,
1887,
72,
9411,
4146,
59361,
59328,
13428,
1707,
72,
9411,
4146,
1748,
4462,
1525,
1469,
50698,
9386,
73,
4139,
1449,
1748,
1358,
7623,
59342,
3659,
2914,
1384,
1748,
1358,
25349,
4462,
72,
59354,
2063,
23740,
1421,
1348,
7623,
1385,
1748,
2237,
1432,
1358,
5800,
59342,
3932,
12480,
1859,
14879,
72,
26657,
3389,
3596,
1707,
1379,
1859,
2368,
1384,
5530,
1865,
59342,
1496,
6577,
59361,
1352,
10871,
1835,
1358,
4562,
1457,
5248,
2524,
1525,
1358,
18086,
2620,
1544,
2264,
2197,
1400,
1434,
72,
1496,
10520,
1523,
1348,
5695,
1712,
1510,
1358,
4598,
72,
58128,
47385,
72,
29762,
1348,
7819,
1835,
4606,
1348,
5354,
7138,
72,
30537,
2434,
1835,
1358,
3959,
72,
17485,
27928,
1748,
2100,
4462,
74,
59354,
5,
5,
4254,
3130,
8091,
59320,
59349,
5,
5,
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5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
1507,
1782,
1872,
59361,
59332,
30058,
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1377,
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1379,
18525,
10757,
72,
3330,
24817,
59361,
59323,
48498,
2336,
1467,
1828,
2003,
1843,
59342,
1696,
1476,
59399,
59349,
59370,
59400,
1523,
2911,
16070,
1385,
2279,
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7546,
1379,
11522,
2750,
1458,
5738,
4505,
16622,
72,
5878,
1544,
9680,
1859,
3005,
2237,
59342,
1433,
3817,
1510,
26657,
3389,
72,
1496,
59389,
1568,
73,
6264,
4146,
5793,
1664,
1385,
3193,
1432,
2100,
72,
1417,
1523,
28269,
3797,
1707,
1384,
14477,
1772,
1454,
1432,
11932,
5248,
1520,
72,
1417,
18997,
73,
59354,
1420,
1782,
1377,
1358,
2237,
1379,
1358,
12813,
1363,
2264,
59342,
1496,
13370,
32390,
59361,
59323,
3428,
1882,
1554,
2579,
72,
1417,
7640,
2100,
72,
3163,
1417,
4455,
2271,
2003,
1348,
13919,
1645,
1899,
72,
59354,
1507,
1782,
1510,
1358,
13857,
2264,
1368,
21251,
1434,
59342,
1496,
13370,
19216,
59361,
59323,
8627,
1531,
73,
11908,
2271,
59361,
59328,
1377,
1745,
1379,
2009,
72,
72,
72,
72,
59354,
26657,
3389,
1899,
1859,
14821,
72,
2063,
23740,
2351,
1432,
5754,
2368,
1650,
3080,
72,
1420,
5695,
3836,
2009,
1368,
1719,
34529,
1952,
1580,
1843,
3370,
1450,
1358,
9393,
1377,
1358,
28267,
1379,
1348,
15764,
59342,
1384,
1544,
59361,
59332,
1580,
4755,
1348,
7664,
1377,
1842,
1379,
1358,
5471,
10757,
72,
1496,
6168,
1417,
2424,
59361,
59323,
2198,
2100,
1717,
1520,
2620,
1544,
2264,
2197,
1400,
1434,
59342,
1496,
59355,
59361,
1699,
1717,
1712,
1385,
1358,
4598,
1384,
2198,
1796,
2271,
59361,
59328,
2911,
1887,
72,
59354,
1507,
1782,
1377,
1358,
9393,
59361,
59328,
11372,
11160,
1973,
6833,
72,
1496,
6168,
2271,
59361,
59328,
3428,
6491,
59342,
1476,
59361,
59328,
2100,
14537,
72,
2442,
1449,
30743,
1421,
2100,
59342,
2144,
1476,
5453,
1384,
1441,
12860,
18424,
72,
17221,
1385,
1358,
4598,
1384,
5671,
4462,
1525,
1358,
17509,
72,
2972,
1523,
1348,
25349,
1379,
1458,
38210,
1865,
1887,
1536,
7872,
72,
11856,
3797,
5530,
1385,
2198,
2024,
59361,
59332,
11222,
72,
3330,
5175,
59361,
59323,
3611,
2237,
72,
7753,
1753,
5530,
2055,
1772,
1454,
59342,
1384,
3375,
6297,
2054,
1432,
1358,
2369,
72,
3330,
2192,
11284,
3375,
15675,
1910,
2709,
5303,
72,
5878,
1828,
1727,
39648,
35191,
59342,
1972,
1828,
2003,
4515,
1379,
1348,
1981,
63,
9453,
2473,
72,
3330,
7640,
19359,
10057,
1384,
9712,
19359,
11771,
1384,
1828,
11381,
59361,
59323,
3859,
1348,
17066,
72,
11255,
2368,
1383,
1362,
5033,
72,
1646,
1348,
2596,
1828,
5248,
1707,
1379,
1476,
1384,
1828,
5248,
2237,
59651,
9440,
73,
3330,
59361,
59332,
2042,
3596,
2237,
1882,
1554,
3596,
3554,
8546,
13200,
1421,
24529,
1385,
1748,
1707,
72,
2442,
1449,
2193,
1421,
1457,
5695,
59342,
1441,
18424,
72,
2442,
2271,
59361,
59328,
2911,
1887,
59342,
1449,
1748,
2100,
1707,
4766,
73,
59354,
5878,
1544,
2264,
57888,
59342,
1496,
21125,
59361,
59328,
1348,
7623,
1421,
1531,
1385,
1748,
3220,
72,
19019,
1707,
1379,
1358,
2369,
73,
59354,
2972,
1523,
1348,
13471,
1377,
1358,
2336,
24568,
7236,
1618,
1446,
1379,
59399,
59349,
59367,
59400,
10757,
72,
1507,
9393,
1379,
1358,
15496,
2368,
32945,
1368,
21251,
1434,
9560,
1358,
24639,
72,
2063,
32425,
1414,
11147,
1384,
33009,
1510,
1358,
2705,
1379,
1859,
2368,
59361,
59328,
3084,
72,
14891,
2368,
6491,
2995,
2123,
9886,
1384,
31104,
33340,
1348,
16622,
2596,
54335,
1932,
30217,
1368,
21251,
1434,
72,
5878,
1358,
9511,
5530,
1432,
72,
3163,
1476,
1523,
3249,
6612,
2336,
72,
1826,
1523,
10278,
5471,
10757,
59342,
12234,
1520,
1358,
1758,
8858,
72,
1413,
14761,
1434,
1887,
1727,
1919,
10757,
6421,
2524,
1358,
2288,
8472,
16010,
1379,
5800,
72,
26657,
3389,
3596,
2237,
1432,
1358,
24639,
1384,
1608,
40856,
1859,
33006,
10007,
1358,
9297,
1358,
4648,
40667,
1525,
72,
2063,
9712,
6491,
2995,
1358,
24568,
7236,
22497,
1844,
1384,
1825,
1370,
1379,
1358,
1368,
1719,
2658,
35718,
72,
2063,
1616,
32469,
1859,
2701,
17159,
2073,
2524,
1385,
1358,
8093,
1384,
1594,
3300,
1367,
1432,
72,
2972,
59361,
59332,
1843,
1458,
38210,
1520,
1358,
17509,
59342,
1358,
1782,
1872,
59361,
59332,
30058,
2995,
2264,
72,
4441,
15195,
72,
11856,
3797,
5530,
1385,
2198,
2024,
2003,
11222,
72,
4441,
1523,
15251,
72,
3330,
5175,
59361,
59323,
3611,
2237,
72,
44455,
2024,
58302,
2003,
4877,
59342,
1476,
1523,
5738,
43573,
72,
5878,
1939,
1875,
3797,
5530,
1385,
2163,
1707,
2024,
11222,
1385,
1358,
1933,
2566,
1384,
59651,
13383,
1523,
5418,
73,
1420,
28589,
1457,
1523,
15675,
1910,
2709,
5303,
72,
4002,
1364,
2757,
1377,
1348,
7521,
2368,
59342,
1697,
1383,
1362,
5033,
72,
7046,
2499,
39648,
35191,
2596,
10882,
19359,
10057,
1384,
12021,
19359,
11771,
72,
72,
72,
72,
26657,
3389,
2286,
1573,
2478,
8681,
1510,
1458,
15516,
72,
3163,
1358,
3797,
2003,
12102,
39648,
35191,
1421,
1895,
1817,
59342,
1384,
2110,
1358,
3822,
1641,
42627,
72,
3330,
2003,
40667,
2237,
1385,
1358,
6691,
4598,
59342,
23946,
1434,
13226,
1371,
1457,
1358,
39648,
2757,
3427,
2702,
72,
11255,
25584,
3094,
1580,
1843,
7528,
63,
1765,
3798,
59342,
2493,
1882,
13200,
2003,
3611,
1421,
1358,
37250,
4682,
1379,
1358,
4598,
59342,
1828,
2003,
1843,
1916,
2825,
1367,
1450,
1348,
12487,
5911,
13684,
35453,
72,
3163,
17316,
6811,
3686,
2003,
11222,
72,
1507,
1933,
2566,
3797,
1727,
2911,
6488,
59651,
1355,
1510,
3999,
1887,
59361,
59332,
1843,
1919,
6943,
1379,
1766,
2702,
72,
3330,
59361,
59332,
3569,
1843,
11605,
1508,
5278,
5865,
1519,
59342,
7584,
4069,
1520,
58302,
59361,
59328,
3775,
1384,
9638,
3385,
72,
2063,
1523,
3569,
11605,
59399,
59349,
59381,
59400,
1508,
18860,
59342,
3265,
59342,
1696,
1476,
2911,
15948,
20247,
1457,
26657,
3389,
2003,
9712,
1733,
2636,
1379,
1457,
21255,
4369,
1348,
12884,
15132,
28168,
42812,
1457,
4907,
1385,
1441,
19497,
12933,
72,
58302,
2003,
1843,
18860,
1508,
11605,
72,
1507,
2566,
1875,
11190,
3130,
8091,
59320,
59349,
59320,
59345,
59344,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3797,
6488,
5490,
2003,
41165,
1358,
2461,
28475,
72,
1507,
1939,
4648,
2003,
1843,
2563,
10234,
53343,
1696,
1573,
48184,
1508,
5278,
14059,
1349,
72,
3330,
59361,
59332,
5809,
1843,
5230,
3639,
1882,
1828,
1727,
4914,
1828,
59361,
59332,
42626,
72,
1507,
2368,
5530,
1865,
1348,
13573,
1384,
16542,
1348,
10755,
72,
5792,
1348,
6396,
4804,
2003,
1843,
2563,
1384,
1358,
5800,
12369,
2128,
1476,
72,
1826,
5248,
1707,
6138,
5412,
9991,
5813,
2132,
2302,
16724,
1727,
5834,
72,
14891,
2368,
5248,
59342,
1594,
3300,
1371,
2055,
1358,
4648,
72,
1646,
1358,
3070,
6919,
10390,
1887,
1727,
59342,
10636,
1348,
28977,
1753,
72,
3330,
59361,
59332,
1843,
3538,
1385,
2279,
59342,
10636,
59342,
1384,
1733,
3428,
3661,
1910,
1358,
3547,
72,
58128,
9471,
59361,
59323,
1377,
1842,
1379,
2054,
72,
2972,
1523,
1745,
2368,
20823,
18533,
59342,
3897,
1393,
3293,
1371,
1919,
4844,
72,
9104,
9393,
2563,
1358,
2558,
1817,
1544,
2286,
59342,
2800,
1358,
4648,
72,
3055,
1640,
3298,
6423,
20093,
1707,
1457,
58302,
59361,
59328,
3775,
1523,
6819,
21360,
72,
2972,
59361,
59332,
1843,
1348,
24193,
1379,
2635,
63,
23109,
36314,
1377,
1348,
10370,
1525,
16797,
3597,
72,
1507,
20578,
1508,
13095,
1379,
1358,
1933,
2566,
3797,
1385,
7960,
1348,
31676,
7738,
38210,
1523,
5069,
4708,
59651,
2445,
36367,
10040,
2417,
1379,
1348,
3597,
10370,
1952,
2235,
1385,
2367,
1358,
29683,
1379,
1358,
2809,
1828,
59361,
59332,
35482,
1432,
72,
1507,
35866,
39648,
2757,
1384,
4656,
1379,
1939,
4648,
2286,
1441,
12876,
1432,
1358,
6087,
1457,
1358,
36314,
1872,
59361,
59332,
3611,
1385,
11354,
1727,
19577,
1450,
2566,
18855,
1379,
1358,
3011,
26145,
7898,
1385,
2367,
72,
3330,
2003,
58302,
59342,
3265,
72,
3330,
24817,
59361,
59323,
5220,
1385,
32083,
1364,
1766,
20778,
59342,
4719,
1476,
1952,
1580,
1843,
16070,
1842,
8210,
72,
3163,
1476,
1523,
58291,
4708,
1457,
1828,
59361,
59332,
2661,
7633,
1385,
4356,
15967,
1835,
1358,
2809,
1828,
59361,
59332,
35482,
1432,
59342,
1384,
1882,
1828,
5501,
1457,
1828,
11883,
4708,
59342,
1828,
59361,
59332,
2661,
1358,
3516,
1828,
10492,
1523,
31205,
72,
59399,
59349,
59387,
59400,
3030,
1379,
1697,
1523,
15021,
13302,
59342,
1696,
1887,
1523,
3351,
12275,
72,
1507,
1875,
3259,
15516,
1523,
59651,
38954,
1371,
5577,
59651,
5938,
42095,
72,
2738,
1476,
15948,
1385,
3176,
2478,
1753,
2339,
22875,
31367,
72,
2063,
32945,
1432,
72,
58128,
47385,
72,
2063,
59361,
59332,
4755,
2100,
3151,
3651,
59375,
2271,
1523,
17938,
1385,
58302,
72,
1826,
15948,
9618,
5156,
1457,
2271,
32390,
59361,
59323,
3428,
1358,
4598,
1450,
1358,
1758,
8858,
72,
2442,
26657,
3389,
32390,
59361,
59323,
1843,
58983,
1450,
2100,
59342,
1544,
59361,
59332,
1580,
6665,
1385,
2144,
3221,
2271,
1523,
3428,
6491,
2533,
1544,
6665,
1385,
2163,
2100,
72,
2442,
2271,
1523,
2911,
1510,
1358,
4598,
59342,
2271,
1523,
1377,
1348,
17229,
7826,
72,
2972,
59361,
59332,
1843,
1919,
1875,
2368,
1525,
1358,
4598,
1421,
1348,
2288,
2369,
2336,
72,
3163,
1887,
5248,
1348,
19529,
10755,
10076,
72,
26657,
3389,
32945,
1951,
1476,
72,
2972,
1523,
1348,
1825,
1370,
59342,
1384,
1348,
2368,
5248,
1525,
1358,
13930,
5888,
59342,
2960,
3325,
4462,
1525,
1358,
5800,
59361,
59328,
8793,
72,
1826,
9248,
59341,
1562,
1367,
1358,
3515,
2368,
26657,
3389,
32945,
72,
1507,
8029,
2368,
28001,
1367,
7035,
3080,
1384,
1618,
1444,
1361,
5912,
2168,
2914,
72,
1826,
5530,
16622,
1371,
1951,
1348,
1584,
3293,
1379,
1357,
16950,
1798,
1384,
5248,
1385,
1348,
4976,
1450,
1348,
2192,
16427,
9261,
53252,
1384,
2720,
1451,
11000,
1368,
14596,
59342,
1696,
1358,
8161,
1523,
2911,
5148,
72,
26657,
3389,
2003,
2123,
9886,
1520,
55263,
72,
1507,
1875,
2368,
12186,
1367,
4462,
2750,
20086,
2631,
72,
26657,
3389,
4575,
2911,
1421,
1348,
6068,
59342,
1433,
1444,
6897,
1520,
1358,
16201,
2714,
1379,
1358,
1380,
1783,
1461,
72,
5878,
1544,
1488,
5269,
72,
2063,
3596,
1707,
1379,
1358,
2368,
72,
9848,
1379,
1932,
2718,
3266,
59342,
1544,
4455,
1544,
3427,
1441,
3374,
1385,
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1432,
1358,
5800,
1450,
1357,
16950,
1798,
1421,
1593,
1730,
72,
3163,
1358,
3959,
1952,
2661,
4680,
59342,
1384,
1544,
1523,
5050,
2850,
1736,
33049,
1457,
58128,
2003,
1843,
3428,
6491,
1377,
1358,
6691,
4598,
72,
2063,
1523,
10636,
4488,
10390,
1525,
1469,
50698,
9386,
6288,
1384,
1835,
1358,
2461,
6254,
1525,
1358,
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72,
1826,
1952,
2661,
3249,
1817,
1385,
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1358,
4598,
1432,
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1910,
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3079,
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1358,
2368,
1432,
1358,
5800,
72,
7555,
1523,
1379,
1358,
34198,
59342,
1384,
1872,
2310,
1508,
11932,
1358,
10040,
2417,
1379,
1358,
35482,
10370,
3427,
1441,
59342,
1828,
59361,
59332,
2127,
2024,
1348,
5800,
1523,
1421,
72,
3330,
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59332,
19030,
1458,
5664,
58242,
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1523,
1573,
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1707,
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1694,
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72,
2063,
1523,
22687,
1421,
1358,
3679,
12829,
1379,
1358,
4562,
58302,
2003,
5083,
1467,
6421,
1525,
1358,
18086,
72,
2063,
1523,
15925,
1520,
13226,
1421,
58128,
72,
1826,
15948,
1385,
2995,
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1859,
2558,
21771,
1523,
2025,
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1361,
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29446,
3027,
4907,
1645,
1358,
5470,
1544,
2286,
3094,
1349,
72,
5,
5,
4254,
3130,
8091,
59320,
59349,
5,
5,
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59345,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2063,
22687,
5667,
4073,
4451,
1421,
1358,
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1358,
2809,
15948,
53583,
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6395,
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59342,
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59342,
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1544,
11381,
59361,
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3221,
4907,
1859,
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17363,
72,
53064,
1377,
1358,
2809,
59342,
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2132,
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31520,
55570,
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1727,
3943,
26272,
1377,
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2288,
23671,
1379,
14100,
63,
7801,
26476,
29521,
72,
2972,
1727,
6866,
25711,
43213,
2032,
1684,
1944,
7521,
1510,
2705,
5470,
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2506,
5300,
1384,
3588,
1358,
4198,
24639,
3909,
72,
9411,
8849,
10427,
1377,
1358,
25678,
2957,
1523,
1474,
22860,
59342,
11343,
11865,
1367,
1520,
16494,
1349,
31261,
1385,
1441,
6436,
1421,
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6031,
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1508,
25514,
3516,
1457,
3427,
1441,
3638,
1421,
72,
1507,
3554,
8546,
12902,
1385,
1358,
6691,
4598,
2003,
4356,
3263,
59342,
1384,
1645,
1358,
2809,
11883,
1457,
1469,
50698,
9386,
4012,
5433,
2003,
1843,
37250,
26792,
1385,
6352,
4151,
1450,
2635,
63,
23109,
34525,
1643,
72,
1507,
34525,
1643,
1727,
4877,
1385,
1580,
30743,
1367,
3797,
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1384,
11605,
2054,
1421,
11167,
72,
3330,
1727,
4877,
1385,
1580,
39648,
2757,
37307,
59342,
3987,
37307,
1384,
28777,
5845,
72,
3330,
1727,
5083,
1467,
1879,
1359,
2996,
1597,
59342,
1384,
5083,
1377,
1496,
33310,
59361,
59328,
5687,
1592,
59354,
1432,
7463,
1384,
1377,
1358,
30208,
72,
3330,
9184,
59651,
5615,
3541,
1385,
17237,
59651,
2016,
1396,
59399,
59349,
59373,
59400,
15328,
1399,
56809,
1508,
3109,
15971,
72,
3330,
1727,
51246,
1467,
49225,
1498,
16176,
17762,
1384,
22657,
1464,
15145,
72,
1507,
10055,
4870,
3304,
9324,
1379,
1766,
34023,
6039,
8565,
1910,
6413,
1349,
46593,
72,
3330,
57050,
2009,
12062,
34525,
1643,
1377,
1766,
1745,
3263,
21470,
3516,
1379,
45250,
58302,
2524,
1384,
17190,
2995,
4462,
72,
1900,
1523,
2264,
1385,
1441,
1421,
1471,
1498,
1360,
2247,
72,
4090,
1379,
1358,
10055,
59361,
6554,
1727,
2478,
1368,
5362,
1434,
58291,
59342,
49942,
72,
1507,
36314,
1727,
2478,
51246,
1467,
16769,
7065,
36127,
6138,
11444,
59342,
1872,
26070,
25301,
1951,
24054,
1467,
1358,
37307,
24928,
2054,
72,
47222,
59342,
1887,
1727,
1751,
9550,
59361,
59328,
5687,
1592,
1379,
3545,
2560,
50013,
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1358,
36314,
1525,
16797,
3597,
72,
2972,
1523,
2025,
1745,
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1441,
1377,
1358,
6691,
4598,
59342,
1696,
1457,
45779,
1847,
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5175,
59361,
59323,
40304,
1358,
10055,
72,
1507,
3532,
4025,
5530,
1951,
1348,
15572,
35453,
72,
3163,
2121,
2104,
24997,
1432,
1766,
10321,
59342,
1384,
6603,
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4133,
14785,
59342,
1384,
1358,
23671,
12369,
1432,
1817,
72,
1507,
3049,
1377,
1358,
3532,
4025,
2003,
4356,
2086,
1385,
17386,
1384,
13725,
1757,
6420,
72,
3330,
1727,
59165,
1434,
52546,
1385,
1358,
2461,
8268,
1467,
27871,
13797,
59342,
1697,
1895,
2676,
3427,
3611,
2759,
59342,
1696,
1573,
4681,
72,
1900,
3825,
5418,
5024,
15948,
1753,
52478,
6612,
1910,
2121,
59342,
1696,
2911,
1476,
1523,
5278,
1753,
1508,
3249,
1467,
1570,
1528,
2134,
59339,
16058,
72,
3055,
2121,
1379,
1358,
3532,
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1570,
3160,
1367,
1450,
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4505,
4503,
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1973,
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1467,
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1715,
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52735,
12141,
9184,
20764,
1358,
24193,
1379,
26145,
57145,
59342,
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1523,
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2759,
72,
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1457,
2121,
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5175,
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72,
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1972,
1348,
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72,
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5276,
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72,
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21060,
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7146,
72,
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25768,
1347,
59358,
2426,
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2003,
31300,
1525,
3597,
1951,
1469,
50698,
9386,
59342,
15947,
72,
1826,
1523,
17316,
59399,
59362,
59344,
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1348,
3282,
39527,
1671,
72,
4139,
4877,
1520,
29093,
2533,
1932,
24193,
59342,
14480,
15399,
2003,
50013,
1358,
6600,
1385,
1896,
1476,
1421,
1348,
2076,
1379,
11772,
3455,
1385,
1348,
38050,
23004,
72,
3330,
2003,
2086,
1476,
1385,
11727,
1348,
4329,
2513,
1384,
2076,
1379,
25514,
7633,
2563,
6436,
3292,
1875,
3259,
34313,
72,
4720,
1358,
39527,
1671,
35482,
59342,
1358,
14480,
7633,
1727,
9012,
1467,
1348,
1753,
4545,
2076,
1379,
1358,
8976,
59361,
59328,
18363,
10475,
59361,
26597,
5537,
72,
1507,
3031,
1384,
1932,
24193,
59342,
4944,
59342,
1727,
2560,
8144,
72,
26657,
3389,
1560,
25220,
1712,
34528,
3239,
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15428,
3502,
2350,
2524,
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72,
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72,
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72,
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9491,
4405,
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12790,
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1817,
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1959,
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1939,
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1476,
72,
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6603,
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2116,
1377,
1358,
11417,
1476,
2003,
25172,
72,
1826,
6453,
10007,
1358,
4598,
72,
2063,
5248,
1385,
1348,
2885,
2132,
23220,
1371,
2003,
1843,
1377,
6395,
72,
1507,
7470,
11190,
3130,
8091,
59320,
59349,
59320,
59345,
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5,
5,
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27811,
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72,
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1450,
2291,
4695,
1379,
1896,
16432,
1384,
27544,
59375,
6811,
1510,
1645,
2003,
1843,
9253,
72,
2738,
1887,
1523,
1919,
2068,
1379,
58128,
72,
1826,
10545,
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26657,
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2271,
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1580,
49413,
1421,
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1510,
1358,
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1434,
1859,
1933,
4455,
2147,
1580,
1843,
1421,
2100,
6470,
72,
11468,
72,
3308,
59361,
59332,
1580,
49413,
1421,
58302,
1385,
22988,
2100,
72,
3163,
58302,
1523,
3569,
8603,
1508,
1348,
5865,
1519,
1379,
1358,
36314,
1457,
2003,
1843,
1377,
1358,
3031,
1525,
1358,
18086,
72,
2063,
11947,
59361,
59323,
1441,
3863,
2055,
58128,
72,
26657,
3389,
2303,
9930,
1740,
2499,
1859,
9446,
1510,
1358,
14329,
1525,
7051,
44048,
58302,
2003,
1843,
9404,
1385,
4204,
1358,
3857,
2473,
2131,
1859,
2385,
1384,
26657,
3389,
59361,
59328,
72,
4441,
1471,
47724,
2412,
2286,
1573,
1441,
4755,
1525,
2438,
59342,
1696,
26657,
3389,
11160,
1421,
1348,
2718,
7589,
1457,
3427,
1441,
58128,
59342,
32649,
2374,
9630,
1434,
1385,
15063,
58302,
1379,
1358,
4413,
1544,
59361,
59332,
3263,
2533,
27928,
3686,
72,
59399,
59362,
59349,
59400,
5878,
26657,
3389,
9712,
1348,
2362,
2718,
6380,
72,
1826,
1523,
1368,
5362,
59342,
1450,
1458,
30946,
27342,
1377,
1476,
72,
1826,
2003,
1358,
28767,
1647,
1379,
12067,
72,
5884,
19521,
1593,
12327,
25146,
72,
2972,
1523,
1358,
26299,
1421,
1358,
3554,
8546,
1899,
1520,
1697,
1358,
4598,
2003,
11343,
1377,
7675,
1450,
1358,
16797,
2809,
72,
26657,
3389,
35658,
1367,
1421,
1358,
4606,
1877,
1476,
72,
5884,
3211,
19311,
6380,
1367,
25508,
1434,
1377,
1358,
24140,
4598,
59342,
1384,
1828,
1383,
5171,
1367,
1707,
1358,
6380,
1544,
1523,
20194,
1421,
72,
2063,
15496,
1510,
1358,
2617,
8487,
72,
2063,
9712,
58128,
59361,
59328,
10462,
8500,
37896,
23516,
59342,
1496,
5857,
1417,
59361,
59335,
3221,
1544,
59361,
59332,
1580,
3611,
1385,
2144,
4505,
1417,
1523,
6898,
73,
59354,
1420,
40740,
72,
1496,
10520,
59361,
59328,
1919,
1745,
3686,
3428,
59342,
1384,
1417,
2235,
72,
72,
72,
72,
59354,
14891,
40740,
72,
1496,
5857,
1544,
1523,
1712,
1432,
1358,
23365,
1600,
73,
3141,
3999,
1348,
43427,
2286,
59651,
59354,
26657,
3389,
3638,
59342,
1496,
59426,
1487,
73,
59354,
2063,
9712,
1348,
5845,
59336,
72,
5878,
2271,
2264,
1694,
38982,
2168,
59342,
1496,
19738,
1639,
2042,
3638,
72,
27159,
1348,
6068,
72,
59354,
3308,
5248,
1385,
1358,
8487,
72,
3141,
19030,
1379,
26657,
3389,
2100,
5558,
13872,
72,
1496,
59355,
5248,
1385,
2144,
3221,
1449,
1727,
1645,
2352,
2620,
1544,
2264,
43050,
1434,
72,
1496,
11825,
1449,
10871,
1385,
6208,
74,
59354,
1496,
24346,
72,
4498,
1449,
2127,
5729,
1835,
59651,
59354,
1496,
59355,
59361,
59335,
23764,
1417,
1675,
2620,
2264,
26657,
3389,
72,
1496,
10612,
2336,
1358,
2980,
4562,
1410,
1385,
1748,
1449,
1707,
1379,
2438,
72,
1417,
59361,
1699,
5320,
2054,
1554,
59361,
1352,
6764,
72,
3030,
2352,
74,
59354,
5,
5,
4254,
3130,
8091,
59320,
59349,
5,
5,
59345,
59362,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3308,
23901,
21022,
72,
2063,
5530,
1712,
1385,
1358,
3554,
8546,
1899,
1697,
11160,
2636,
1972,
1458,
20953,
21589,
59342,
1696,
1523,
8515,
1385,
1348,
5330,
1450,
14769,
59328,
1384,
32885,
72,
2972,
1523,
1348,
53321,
21729,
8157,
59651,
59324,
1971,
7275,
8157,
59651,
1350,
2705,
1379,
1358,
3554,
8546,
22488,
72,
26657,
3389,
10342,
1712,
1358,
3554,
8546,
49995,
72,
2063,
6009,
9930,
72,
2063,
2264,
1544,
59361,
59332,
3611,
1385,
2144,
3221,
1379,
58128,
59361,
59328,
6470,
59342,
1384,
1457,
1544,
59361,
59332,
1843,
8627,
1520,
1358,
55940,
4240,
1379,
10757,
1384,
29521,
1457,
2003,
37250,
26792,
24529,
3686,
72,
5878,
1544,
2264,
59342,
1496,
59355,
59361,
1412,
3596,
1348,
2368,
1835,
3151,
10390,
4462,
72,
1826,
59361,
59328,
1377,
1348,
1383,
7212,
59342,
1696,
1417,
1571,
5490,
59399,
59362,
59362,
59400,
1748,
1476,
1707,
72,
1826,
59361,
1699,
1441,
1348,
3718,
32508,
1421,
8610,
47385,
1796,
1449,
6001,
1348,
43427,
1887,
1385,
4704,
2100,
1712,
72,
59354,
1507,
16457,
1523,
21209,
8849,
1377,
19674,
72,
1826,
6380,
1367,
1972,
1348,
43661,
2560,
4528,
8842,
1835,
3375,
1544,
11883,
6811,
1835,
72,
26657,
3389,
2264,
59342,
1496,
5163,
59354,
1377,
1348,
8483,
19674,
1384,
3370,
2524,
1358,
49995,
72,
2063,
10342,
1712,
1358,
21729,
8157,
1384,
3370,
1476,
1377,
1859,
21729,
72,
1826,
3427,
1441,
5310,
72,
1496,
17130,
3255,
1385,
3079,
1385,
2144,
1476,
1707,
1377,
1863,
2368,
2620,
1544,
5793,
58128,
1366,
1687,
1434,
72,
1496,
5858,
53529,
59342,
1417,
20327,
1828,
10126,
59361,
59323,
1842,
27565,
1464,
2545,
1828,
1571,
3402,
13200,
1385,
72,
3163,
1476,
5490,
4313,
6423,
72,
2442,
1887,
1502,
1895,
5862,
1349,
36314,
2914,
59342,
1887,
59361,
59328,
1919,
2412,
1377,
52945,
2054,
1712,
1450,
1348,
20376,
5838,
3520,
1373,
1376,
8283,
2914,
3679,
1766,
24193,
2885,
72,
4612,
2533,
1554,
59361,
1352,
6436,
1385,
2661,
2902,
3516,
72,
21997,
3588,
72,
1417,
59361,
1412,
3596,
1385,
1748,
1449,
4462,
1525,
2438,
72,
59354,
1496,
5857,
1417,
59361,
59335,
11072,
72,
72,
72,
72,
59354,
3308,
11160,
2106,
10797,
72,
1496,
5568,
6664,
1664,
1385,
6804,
15656,
72,
1874,
5738,
1713,
1370,
24081,
1367,
1835,
1476,
72,
2063,
59361,
1699,
25783,
3611,
1385,
2144,
3221,
1417,
59361,
59335,
6898,
72,
72,
72,
72,
59354,
1496,
59355,
59361,
59335,
23764,
1417,
1580,
5963,
5418,
2620,
2264,
26657,
3389,
72,
5878,
1544,
5083,
59342,
1467,
35059,
1467,
1544,
2286,
59342,
1859,
2652,
4984,
1450,
58302,
72,
1826,
1523,
1358,
1745,
1697,
11758,
1450,
4386,
59321,
9277,
1384,
10762,
38914,
28573,
1520,
1358,
2656,
20906,
59342,
1384,
2110,
1358,
2192,
32891,
1379,
1358,
2656,
20906,
6288,
72,
2063,
5175,
59361,
59323,
6943,
1358,
36595,
3493,
2354,
1457,
1358,
2656,
20906,
2003,
24997,
15021,
12933,
2596,
1476,
1523,
10342,
1712,
1384,
4386,
59321,
9886,
1510,
1384,
21841,
72,
2063,
2003,
1919,
15516,
1421,
1476,
72,
3067,
1544,
2579,
1580,
1385,
5320,
1523,
5963,
4708,
72,
3308,
5530,
3987,
1434,
29726,
59342,
15018,
1859,
5558,
1467,
1544,
5793,
2100,
72,
1496,
5857,
59651,
3443,
59651,
59354,
3308,
4759,
29850,
72,
1496,
5568,
3427,
1580,
1843,
21145,
1384,
59651,
2928,
11605,
72,
2063,
3427,
1441,
20495,
1384,
1377,
1929,
1379,
2111,
72,
2442,
1887,
1502,
36314,
1525,
16836,
3686,
59342,
1828,
3427,
1573,
14819,
1457,
1544,
2286,
1441,
59165,
1384,
1573,
8603,
73,
2063,
59361,
59332,
2144,
3221,
59399,
59362,
59370,
59400,
1835,
1664,
73,
1417,
59651,
59355,
59361,
1699,
1717,
1712,
1384,
2144,
3221,
1835,
2995,
72,
72,
72,
72,
59354,
26657,
3389,
25353,
1556,
72,
1496,
4453,
59361,
59328,
1573,
5156,
2620,
1544,
2264,
15563,
59342,
1496,
13383,
1544,
1523,
3428,
1887,
17718,
72,
3163,
1796,
1449,
3671,
1457,
25628,
1649,
1385,
2144,
3221,
59342,
1417,
59361,
1699,
1675,
1476,
72,
2522,
1745,
4562,
59342,
1417,
1571,
20597,
11090,
72,
4162,
2368,
1410,
1383,
1362,
5033,
2237,
1427,
20112,
72,
2292,
1717,
1384,
5829,
1520,
1476,
72,
3141,
3999,
1476,
59361,
59328,
4258,
1682,
1525,
1358,
17509,
1384,
1449,
2147,
1441,
32508,
1887,
72,
1417,
59361,
1699,
2144,
3221,
1835,
58302,
72,
59354,
2063,
12876,
1377,
9237,
1980,
2271,
2286,
2163,
1358,
2368,
72,
5816,
1536,
24094,
3811,
1385,
1348,
56093,
2128,
1358,
11417,
1421,
1348,
24639,
72,
19022,
7941,
1525,
1458,
27544,
8611,
1540,
6090,
1349,
72,
17221,
1707,
1379,
19030,
72,
17607,
2087,
3292,
1348,
18086,
1996,
72,
3308,
4759,
29850,
2517,
72,
5878,
2271,
2264,
59342,
1496,
6168,
1544,
3923,
2111,
59342,
1449,
2286,
59651,
5095,
1753,
1910,
1417,
1571,
72,
3163,
1417,
59361,
1699,
5829,
1887,
2132,
1358,
40425,
4848,
72,
1417,
1571,
19445,
1796,
1417,
1929,
1385,
59342,
1384,
1417,
59651,
59335,
1550,
1441,
1379,
1895,
1896,
72,
59354,
2063,
16708,
1457,
2271,
2664,
37888,
18454,
1450,
1358,
5514,
1457,
1544,
59342,
26657,
3389,
59342,
3427,
5244,
1458,
17718,
58302,
2524,
1358,
23365,
1600,
1384,
1457,
2271,
2286,
1441,
5310,
2110,
72,
2063,
3114,
2100,
72,
2063,
5530,
2128,
1358,
4598,
1450,
2100,
1385,
3370,
2100,
1432,
1358,
2352,
4370,
72,
2063,
8023,
2100,
1358,
21729,
8157,
59342,
1733,
2271,
2286,
12770,
1421,
5418,
72,
4139,
2271,
5530,
1432,
1707,
1379,
19030,
1377,
23994,
6593,
59342,
1544,
9680,
2237,
10007,
1358,
14329,
1432,
1697,
58302,
2003,
26851,
1458,
15210,
2385,
72,
1826,
1523,
4780,
1348,
4789,
63,
4115,
63,
1849,
2720,
1862,
6795,
1457,
1544,
21883,
5564,
44261,
72,
2738,
1544,
4870,
1348,
18508,
7623,
72,
2685,
1544,
21883,
5564,
59342,
1421,
1895,
1817,
1544,
7366,
1377,
15135,
3089,
72,
2442,
1358,
16254,
1379,
1358,
10370,
1377,
1469,
50698,
9386,
1727,
13406,
59342,
1828,
59361,
59332,
2198,
2995,
5500,
1910,
58128,
72,
2442,
1828,
4870,
3516,
59342,
1476,
1952,
1441,
3292,
2995,
1384,
1573,
58128,
72,
6264,
8210,
1544,
10492,
3162,
16324,
1385,
20617,
9930,
1910,
58128,
1952,
1441,
72,
2063,
21883,
5564,
72,
19247,
1358,
2809,
1523,
7089,
4133,
59342,
3298,
4028,
72,
2972,
1727,
14329,
30338,
59399,
59362,
59367,
59400,
1432,
2291,
2587,
72,
6264,
2003,
1843,
32727,
5985,
11206,
59342,
1895,
2003,
1573,
72,
3867,
2351,
4488,
8614,
9499,
1379,
32649,
59342,
1544,
2286,
2198,
2911,
1753,
23365,
72,
1507,
18086,
1523,
9491,
2822,
2336,
72,
2063,
21883,
5564,
1348,
20114,
9499,
72,
7753,
72,
11856,
72,
2063,
11190,
3130,
8091,
59320,
59349,
59320,
59345,
59370,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2286,
2198,
2131,
30338,
1421,
1348,
3304,
28137,
10390,
1385,
1358,
9297,
2132,
1544,
59361,
59332,
1843,
1510,
2676,
6733,
72,
3163,
1544,
1523,
3897,
1859,
1467,
2222,
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44048,
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1536,
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14329,
72,
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1573,
2198,
1469,
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1525,
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72,
3154,
1358,
1875,
2587,
59342,
1919,
43650,
1510,
1469,
50698,
9386,
2147,
1441,
3374,
1385,
2198,
2995,
72,
11362,
1458,
20010,
6020,
1697,
3427,
9541,
19030,
58128,
1952,
1441,
18015,
1385,
8738,
2995,
59342,
1348,
18533,
7521,
1960,
59346,
3292,
1348,
23365,
1600,
72,
2063,
9906,
1358,
2489,
1510,
1697,
58302,
59361,
59328,
2385,
2003,
1843,
12972,
72,
2063,
7366,
15563,
1384,
45843,
23516,
2914,
42872,
1371,
26414,
1379,
12738,
72,
1507,
9261,
14117,
59341,
4109,
2995,
59342,
3897,
2927,
4764,
1919,
4844,
1377,
1859,
31209,
72,
11152,
1544,
1726,
32341,
4918,
1348,
2718,
12738,
1384,
1476,
5530,
1376,
50391,
1384,
1584,
45929,
2524,
1358,
17527,
1544,
59361,
59332,
21883,
5564,
72,
2063,
7640,
2132,
58302,
2286,
1580,
1843,
1467,
1544,
23740,
3375,
3611,
2524,
1525,
1358,
18086,
72,
2063,
2303,
58302,
59361,
59328,
28003,
11594,
59342,
1384,
1358,
1467,
2044,
1379,
1859,
4598,
12916,
72,
5792,
3265,
1523,
1358,
2656,
20906,
72,
1826,
2003,
1843,
2192,
16427,
1520,
1348,
8377,
12738,
42627,
1384,
16432,
6138,
1476,
59342,
1696,
2533,
1457,
1476,
2003,
1843,
7366,
72,
1826,
1523,
1573,
1377,
2885,
1432,
1358,
13625,
2581,
1525,
1697,
1476,
2286,
4204,
17671,
1377,
1348,
6254,
1379,
11601,
1379,
10390,
72,
2972,
1523,
1919,
1875,
2068,
1379,
2024,
2003,
17316,
11222,
2438,
72,
1507,
1467,
2044,
1379,
1358,
5998,
1727,
5412,
1466,
4732,
1367,
72,
58302,
59361,
59328,
28003,
11594,
11160,
1467,
1796,
1476,
2003,
1573,
1843,
15808,
1524,
1377,
59342,
1467,
1796,
1476,
2003,
2025,
1843,
8181,
1707,
1421,
1358,
4975,
2533,
72,
26657,
3389,
5530,
1865,
1358,
7653,
29293,
20574,
1520,
20574,
72,
3721,
4427,
51533,
1697,
3427,
1441,
4858,
72,
26187,
72,
72,
72,
72,
3721,
72,
1646,
1348,
13894,
1379,
8445,
11354,
2131,
1939,
28367,
1887,
1523,
1348,
28487,
2382,
2466,
72,
1826,
1523,
1573,
1348,
39207,
72,
1420,
28487,
2382,
2003,
2563,
1476,
59342,
1696,
1573,
1348,
16469,
59361,
59328,
28487,
2382,
59342,
7172,
1348,
8046,
1381,
59361,
59328,
72,
59399,
59362,
59381,
59400,
1826,
9471,
59361,
59323,
1348,
14329,
26967,
4370,
72,
1826,
1523,
1573,
1358,
4370,
1379,
1842,
8968,
3263,
1432,
11354,
72,
3163,
1476,
1523,
2438,
72,
26657,
3389,
2303,
9930,
17029,
58735,
1434,
1796,
1358,
43650,
1457,
2003,
2563,
1476,
1952,
4386,
59321,
1622,
59342,
1508,
1796,
1476,
1952,
1825,
1370,
72,
3330,
15948,
19315,
23136,
72,
2063,
11160,
45843,
23516,
2524,
1510,
1358,
17509,
1697,
1523,
5738,
5047,
1348,
17554,
3871,
2995,
72,
1507,
3126,
1523,
36297,
1434,
8055,
72,
1826,
23396,
2025,
1358,
2720,
1862,
6795,
1384,
1358,
15287,
8947,
1358,
2957,
2132,
1358,
32727,
1374,
1584,
29403,
2003,
31300,
72,
26187,
7366,
72,
2972,
1523,
1919,
13626,
38521,
1899,
1712,
1432,
1358,
29422,
59342,
1467,
58302,
2003,
2264,
72,
3163,
3375,
2003,
11222,
2524,
1377,
1358,
17509,
72,
1408,
6957,
1520,
1358,
3126,
59361,
59328,
8793,
1727,
47376,
1384,
12790,
72,
9536,
1359,
1379,
23994,
6593,
2003,
1843,
52459,
1384,
28035,
4462,
72,
10259,
2538,
1727,
12790,
2524,
18234,
1379,
20394,
1525,
1358,
3126,
59342,
1384,
1887,
1727,
1414,
1873,
1532,
1385,
1441,
4755,
30763,
1887,
1523,
8445,
11354,
72,
2426,
28896,
8546,
2003,
2295,
3300,
6288,
3292,
1358,
8742,
19063,
12780,
1379,
1358,
17509,
72,
1826,
2003,
24928,
1972,
1348,
58980,
8546,
31497,
1379,
9499,
1981,
1377,
1458,
1377,
2272,
3795,
1379,
3126,
72,
1826,
1523,
9618,
51570,
5799,
1457,
3375,
8377,
1384,
9350,
2003,
21145,
2350,
2524,
1525,
1358,
18086,
72,
3163,
26657,
3389,
7640,
1919,
8808,
7172,
1842,
1875,
4841,
1961,
1377,
1536,
8243,
38592,
72,
2063,
9712,
6811,
1457,
1523,
1573,
1458,
14301,
4133,
6380,
72,
3163,
2110,
1544,
2192,
11284,
3375,
72,
1826,
1523,
1348,
44225,
59342,
21209,
1396,
1524,
55380,
46219,
72,
1826,
1523,
1358,
1433,
18822,
1379,
1616,
39540,
59342,
8603,
1384,
6986,
2125,
72,
1826,
1523,
2636,
59342,
2636,
15675,
1910,
1358,
28589,
1379,
1348,
2709,
5303,
72,
2063,
7366,
1385,
2295,
1371,
9930,
1951,
12421,
72,
5878,
3378,
18830,
1367,
2995,
72,
40860,
1859,
49125,
3534,
2579,
1573,
12779,
1476,
1707,
72,
2972,
1727,
1645,
10057,
59342,
1650,
23525,
3556,
49965,
59342,
1384,
1828,
2295,
16427,
1377,
6534,
17528,
19204,
1384,
6728,
1697,
25718,
2351,
1875,
1377,
19526,
1379,
9298,
72,
2063,
2286,
2198,
6811,
1696,
1536,
3378,
72,
5878,
1887,
5248,
6380,
72,
1826,
1523,
5299,
1855,
1679,
72,
1826,
1523,
1361,
1405,
3553,
6956,
72,
1826,
1523,
1458,
36297,
1434,
1694,
54058,
4846,
1559,
1377,
1697,
13229,
59399,
59362,
59387,
59400,
10175,
1384,
2415,
6366,
1384,
1376,
5994,
1798,
1384,
1570,
1460,
2469,
1798,
1727,
7862,
1733,
1467,
1385,
1441,
1694,
45234,
1597,
72,
2738,
2110,
5248,
11400,
27871,
1467,
1544,
2303,
1457,
1544,
2286,
1573,
3859,
72,
9411,
20574,
1379,
1859,
3795,
2003,
9680,
30690,
1467,
1476,
5334,
12179,
1450,
4533,
59334,
1783,
72,
2063,
10492,
59342,
1645,
1865,
59342,
1467,
1796,
1544,
1727,
13902,
1348,
13153,
9772,
72,
2063,
11883,
1457,
1544,
13872,
25047,
1434,
2132,
1544,
23901,
72,
2063,
1523,
18830,
1367,
1520,
3378,
1384,
45439,
9312,
1520,
6380,
1384,
1859,
40530,
59327,
7933,
1727,
12179,
1450,
1358,
49351,
1959,
24134,
1355,
1379,
1616,
39540,
1384,
18871,
72,
3348,
3822,
1641,
38502,
1421,
2024,
15948,
2243,
72,
5,
5,
4254,
3130,
8091,
59320,
59349,
5,
5,
59345,
59367,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
5878,
1645,
1358,
3822,
1641,
11758,
54036,
1434,
72,
3163,
1544,
2911,
2286,
1573,
2198,
59375,
1859,
9446,
1727,
2911,
1383,
10209,
2350,
1520,
1358,
15588,
1457,
16739,
1859,
49125,
3534,
2003,
1573,
6847,
72,
2063,
2911,
2286,
1573,
8861,
72,
2063,
59361,
59332,
1843,
45439,
9312,
1520,
1358,
11771,
1457,
2003,
1383,
29077,
1384,
1915,
5564,
2995,
72,
2063,
7366,
59342,
1384,
1544,
11883,
1476,
59342,
1696,
1544,
2286,
1573,
3671,
5729,
72,
5884,
8512,
1384,
3795,
10492,
1915,
59340,
72,
5878,
1544,
3822,
1367,
1457,
1358,
11422,
1379,
1859,
17081,
1384,
18507,
1727,
6847,
72,
2063,
38680,
59342,
18830,
1384,
45439,
1384,
2750,
10597,
13513,
72,
2063,
11883,
1457,
1544,
1523,
39378,
72,
5884,
17081,
1727,
5453,
9312,
21209,
1733,
1457,
1544,
2286,
1573,
3859,
2054,
72,
2738,
2110,
24772,
59651,
1774,
24772,
59651,
37057,
47164,
8108,
72,
2063,
9712,
4386,
59321,
1622,
1798,
72,
3141,
1933,
1828,
1727,
1368,
5362,
1467,
1358,
58219,
14830,
12618,
1377,
1859,
31209,
2025,
6651,
1385,
1936,
1485,
1766,
1914,
72,
2063,
6651,
1385,
1936,
1485,
1358,
6423,
1379,
7675,
59342,
4719,
1544,
10492,
2025,
27401,
59327,
2440,
19341,
72,
2063,
1523,
10177,
1712,
72,
1826,
15948,
1385,
2995,
1457,
1584,
10166,
5500,
1910,
27737,
2197,
1382,
7477,
2995,
72,
2063,
23901,
52123,
59342,
1357,
2413,
1371,
72,
5884,
6423,
1379,
9690,
2003,
1843,
6700,
2750,
1859,
50360,
1476,
72,
1826,
5248,
2237,
59342,
2362,
18533,
72,
3163,
1544,
7640,
6811,
72,
2534,
1927,
5196,
8512,
59651,
1355,
2587,
5196,
1584,
10166,
59651,
12679,
1367,
1510,
2995,
72,
2063,
10492,
9930,
9680,
1384,
22729,
72,
2063,
58606,
1367,
72,
2063,
4870,
7339,
1707,
1379,
1358,
1929,
1385,
5671,
52123,
72,
1507,
8646,
1798,
1384,
6550,
1798,
9012,
72,
2063,
59399,
59362,
59384,
59400,
2303,
9930,
38609,
16836,
72,
2063,
16708,
1457,
1859,
17081,
1727,
40109,
2493,
1828,
1727,
25813,
1450,
3375,
1972,
17041,
1508,
38233,
72,
1716,
1451,
12448,
59342,
1544,
21504,
1385,
1358,
7181,
4069,
72,
2972,
1523,
6811,
3686,
1385,
1675,
72,
2063,
2303,
9930,
27402,
72,
2063,
1523,
2560,
6453,
16836,
1697,
2286,
2025,
1441,
48443,
72,
2063,
1523,
25711,
59342,
1573,
35059,
59342,
1696,
1573,
37105,
1736,
3569,
72,
2063,
49413,
1421,
19030,
1385,
2702,
1385,
2995,
72,
1826,
2579,
1573,
3611,
72,
1826,
1523,
2110,
1544,
16708,
1457,
1544,
2286,
1573,
2198,
2493,
1544,
1523,
18830,
11047,
1367,
72,
2972,
1727,
1477,
1466,
3493,
4386,
59321,
9277,
2362,
3679,
2995,
72,
2063,
6651,
10234,
53343,
1434,
1385,
13494,
1517,
1358,
14329,
59342,
22935,
1384,
25711,
1384,
7976,
20160,
1520,
1694,
29568,
36314,
72,
5,
5,
4254,
3130,
8091,
59320,
59362,
5,
4453,
1523,
1348,
2288,
18933,
59342,
2563,
6089,
1520,
1358,
18830,
11047,
1384,
1584,
9294,
2230,
1520,
1859,
41124,
1385,
3859,
1859,
17081,
72,
5547,
1910,
4586,
26657,
3389,
1433,
41543,
72,
12239,
1613,
1544,
13872,
72,
1507,
1584,
1927,
5196,
8512,
1508,
2587,
5196,
1584,
10166,
42627,
2995,
1384,
46531,
2995,
1432,
1358,
2369,
1457,
1523,
2560,
11012,
1421,
2995,
72,
2972,
1727,
1477,
1466,
3493,
4386,
59321,
9277,
72,
30912,
1434,
1544,
16708,
1457,
1895,
1379,
2054,
1727,
8779,
1510,
2995,
72,
1420,
4386,
59321,
1622,
1508,
58194,
1377,
1348,
14879,
19674,
5793,
2995,
1457,
1544,
3094,
1441,
5410,
18424,
2042,
2438,
72,
2063,
5248,
1385,
5249,
1358,
26464,
72,
1826,
10545,
1385,
2995,
1457,
1358,
4386,
59321,
9277,
6380,
1367,
2362,
2636,
1972,
2608,
7648,
63,
22028,
44713,
1477,
1466,
1888,
1457,
3322,
3370,
1377,
1766,
1380,
1375,
2807,
1385,
2144,
1740,
2059,
11771,
1379,
18647,
14296,
72,
20369,
2557,
59342,
1645,
1859,
47164,
8108,
1385,
4133,
72,
10046,
1859,
9446,
1877,
1358,
18830,
11047,
53573,
1385,
2650,
59399,
59362,
59373,
59400,
2025,
3326,
1579,
18830,
2714,
59342,
1384,
1544,
7640,
2608,
47435,
59342,
9961,
17528,
23088,
1783,
8186,
1457,
3441,
9446,
28827,
1525,
43456,
72,
5547,
4386,
59321,
1622,
1798,
72,
1420,
2288,
1817,
3661,
1544,
7366,
1865,
8742,
2489,
16645,
59339,
5813,
72,
2063,
1523,
6453,
1421,
11575,
5047,
1348,
17554,
72,
2063,
2003,
1573,
6665,
1385,
12377,
2459,
1645,
1859,
18933,
72,
1826,
1952,
1580,
1843,
40109,
72,
2442,
1544,
1523,
1385,
1441,
11605,
59342,
1544,
1952,
1441,
11605,
72,
3163,
14622,
2003,
1843,
5278,
1385,
5244,
2995,
2524,
20495,
1525,
1348,
10421,
4195,
1379,
2720,
1451,
12448,
2720,
1862,
6795,
72,
5884,
5865,
1698,
2003,
23946,
1434,
1895,
1896,
1421,
2995,
1377,
5365,
72,
3330,
54036,
1434,
5230,
2995,
2911,
1421,
1348,
2288,
1817,
59651,
1576,
7736,
1467,
2636,
1467,
1458,
7946,
72,
1826,
15948,
1457,
3569,
12902,
1727,
3538,
1385,
3611,
1520,
59342,
1508,
1895,
13168,
1523,
2560,
2563,
72,
5878,
1358,
6380,
1379,
3375,
1508,
5307,
33276,
72,
1413,
4481,
9277,
72,
11190,
3130,
8091,
59320,
59362,
59320,
59345,
59381,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2063,
1523,
6453,
3351,
2288,
6254,
72,
5878,
1584,
10166,
1508,
8512,
42627,
2995,
72,
27707,
1584,
2231,
1367,
72,
17198,
1872,
5230,
2995,
16432,
2995,
72,
2063,
13872,
2566,
1508,
3151,
9499,
9560,
8445,
10241,
72,
2972,
1523,
1348,
1584,
8283,
1379,
8252,
3806,
1859,
3005,
72,
5878,
1348,
3441,
10462,
2264,
1357,
1578,
1350,
2323,
59342,
1496,
22841,
1385,
1807,
4342,
73,
13913,
59361,
59332,
1828,
7268,
1449,
74,
59354,
26657,
3389,
2264,
59342,
1496,
5400,
1432,
1348,
23365,
1600,
59342,
5220,
1385,
2198,
2024,
1828,
1727,
4757,
72,
9878,
1449,
1748,
1664,
24963,
59342,
4128,
74,
59354,
55216,
5901,
1432,
1358,
17041,
1457,
5486,
1859,
17081,
4781,
1385,
1859,
3795,
72,
3330,
3933,
8696,
1367,
72,
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1573,
72,
2972,
1523,
6811,
1385,
1441,
3952,
72,
29794,
26657,
3389,
8623,
1859,
2566,
13230,
5865,
2802,
1467,
5490,
5500,
2471,
3797,
1385,
1580,
1432,
1745,
59361,
59328,
3700,
59342,
1384,
5963,
6915,
1385,
1580,
3292,
1745,
72,
3163,
1887,
1523,
1919,
3516,
1697,
1523,
10353,
2336,
72,
1420,
3331,
16573,
6208,
59342,
3374,
1385,
2245,
22444,
3846,
2054,
1520,
11932,
3914,
1476,
1523,
22472,
59342,
2563,
1842,
5010,
1379,
17319,
1377,
2676,
4891,
36167,
1783,
72,
1496,
5856,
4279,
1379,
3844,
2545,
1502,
1828,
74,
59354,
44217,
1358,
24788,
59339,
1782,
72,
1496,
45319,
1554,
2286,
7589,
1707,
2024,
1828,
59361,
1699,
1675,
1796,
1554,
2127,
2024,
4279,
1379,
4562,
1828,
1502,
73,
59354,
1496,
17130,
59361,
1412,
3596,
9446,
1972,
14194,
2620,
2264,
26657,
3389,
72,
1507,
2566,
3797,
11160,
1510,
2995,
72,
1496,
17130,
35482,
1520,
2676,
4891,
2620,
2264,
26657,
3389,
72,
1496,
59364,
12773,
2676,
4891,
72,
3330,
2286,
10422,
1580,
10342,
1358,
1817,
1421,
1766,
24193,
72,
3330,
10342,
3829,
7872,
59399,
59370,
59370,
59400,
1733,
1828,
2286,
1580,
1348,
2471,
2288,
3714,
1379,
2676,
4891,
1377,
1697,
1385,
1748,
24338,
2533,
4975,
72,
2442,
1828,
59361,
59332,
1843,
4975,
7521,
36314,
59342,
1828,
59361,
59332,
1580,
35482,
1377,
1358,
7978,
72,
59354,
1507,
16415,
1782,
2264,
59342,
1496,
59352,
4373,
15251,
72,
1417,
5175,
59361,
59323,
2629,
1379,
1457,
72,
59354,
1496,
17130,
7640,
1664,
1510,
1348,
6254,
2620,
2264,
26657,
3389,
59342,
1496,
1483,
1417,
5175,
59361,
59323,
2198,
2054,
72,
3330,
59361,
1412,
3596,
2471,
9446,
72,
3330,
12593,
1664,
1712,
1385,
1358,
2705,
1379,
1358,
14329,
1384,
1392,
1402,
1385,
2198,
2024,
1417,
59361,
59332,
1675,
72,
4139,
1828,
7640,
1664,
3863,
1358,
17509,
1865,
2055,
15760,
1712,
1432,
58302,
59342,
1828,
39648,
35191,
1664,
1384,
9293,
1664,
2438,
72,
3055,
1828,
59361,
1412,
3596,
9446,
1972,
14194,
72,
59354,
1496,
4268,
12470,
58302,
2620,
2264,
1358,
24788,
59339,
1782,
72,
1496,
5856,
11222,
1385,
2995,
74,
59354,
26657,
3389,
2264,
59342,
1496,
48246,
3556,
2024,
59361,
1699,
5276,
1385,
1531,
72,
59354,
1496,
28780,
1410,
2024,
74,
59354,
6575,
1358,
24788,
59339,
1782,
72,
26657,
3389,
2579,
1573,
3978,
72,
2063,
4455,
1379,
58128,
59342,
11072,
37896,
23516,
1510,
1358,
8793,
1379,
1358,
40425,
1573,
4258,
1525,
1358,
4598,
72,
3308,
59361,
59332,
25783,
1580,
23740,
2995,
32649,
72,
3308,
3427,
1580,
6603,
1859,
20597,
1645,
1358,
2369,
1385,
2132,
1544,
5530,
2914,
1385,
58302,
59361,
59328,
2385,
72,
3163,
2271,
11947,
59361,
59323,
1580,
4755,
1859,
13095,
1384,
2271,
3427,
1441,
11072,
1421,
2995,
2336,
72,
1826,
9471,
59361,
59323,
5156,
59342,
4719,
59342,
1457,
2271,
59361,
59332,
20597,
1951,
1358,
30641,
1457,
2003,
5278,
58302,
1384,
2110,
9930,
72,
3308,
3094,
14819,
1457,
1457,
9297,
1523,
1745,
1385,
1441,
33340,
72,
3308,
59361,
59332,
5490,
3079,
1385,
2144,
2100,
2369,
1385,
1859,
1383,
1362,
5033,
2368,
72,
3308,
59361,
59332,
9712,
2995,
3716,
1432,
3554,
8546,
1421,
1348,
43427,
1385,
3611,
1385,
1457,
2885,
1385,
4704,
2100,
1712,
72,
1826,
32390,
59361,
59323,
1843,
29444,
59375,
1377,
2354,
1476,
2003,
1843,
25297,
72,
3163,
1796,
2271,
12102,
6488,
59342,
25783,
5307,
1952,
3816,
1348,
3250,
63,
5703,
12421,
1385,
2163,
1707,
1796,
2271,
1727,
11072,
29446,
3027,
1421,
22988,
72,
1420,
3378,
10427,
2286,
4529,
1432,
1358,
24639,
1796,
1348,
43427,
9471,
59361,
59323,
1385,
1441,
3816,
1367,
72,
6264,
8210,
58128,
3094,
2163,
1348,
2369,
1385,
6470,
72,
59399,
59370,
59367,
59400,
3308,
1523,
1377,
12547,
2493,
2271,
59361,
59332,
49413,
1399,
2004,
1736,
1421,
58302,
1385,
3611,
1385,
2100,
1510,
1358,
4598,
72,
6183,
72,
72,
72,
72,
7555,
8627,
72,
8420,
51487,
1432,
1766,
14059,
30287,
1358,
8252,
72,
1826,
5334,
1694,
45234,
3556,
4664,
5666,
72,
2972,
5248,
4386,
59321,
1622,
1798,
72,
1507,
4405,
1379,
1358,
53308,
15003,
11428,
42627,
72,
32238,
1348,
28977,
8243,
17762,
1727,
46531,
1951,
1358,
9229,
72,
1507,
4405,
6802,
2517,
72,
26657,
3389,
48658,
12099,
72,
1826,
1523,
12569,
5033,
1525,
1358,
6208,
72,
2972,
1952,
17679,
1441,
1348,
5453,
6612,
1432,
1358,
4405,
1379,
1348,
53308,
15003,
1385,
3386,
36115,
1525,
4718,
1510,
1358,
39004,
1476,
1523,
5008,
1385,
7309,
72,
1507,
7065,
15748,
13852,
1533,
72,
1632,
1815,
1523,
1348,
2905,
72,
11152,
1384,
2025,
4586,
1828,
9712,
1348,
10733,
1525,
1358,
2809,
8947,
1766,
14059,
72,
1826,
1523,
1348,
1383,
2359,
1371,
2927,
1697,
59342,
2478,
2128,
1348,
8252,
6795,
59342,
2286,
1441,
6811,
1696,
1358,
6380,
1379,
1348,
43427,
72,
1826,
1383,
2359,
1367,
1384,
1383,
2359,
1367,
59342,
2362,
24772,
10444,
47529,
2134,
72,
5878,
59342,
54036,
1434,
59342,
1476,
4804,
2002,
72,
4441,
1523,
1645,
72,
2738,
1457,
1523,
1645,
1457,
1358,
3151,
1377,
1358,
8252,
16494,
11883,
1835,
4413,
6208,
1379,
1766,
2701,
3385,
72,
5,
5,
4254,
3130,
8091,
59320,
59362,
5,
5,
59345,
59373,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3163,
2636,
1523,
15894,
6208,
72,
26338,
1464,
63,
7801,
26476,
29521,
2003,
9906,
1358,
8793,
1379,
1469,
50698,
9386,
4012,
5433,
59342,
1348,
2362,
3155,
4680,
2055,
1358,
1758,
8858,
1525,
1358,
4598,
2003,
24875,
1707,
1379,
1476,
72,
3330,
2003,
1348,
5024,
1385,
5320,
59342,
1384,
1796,
1476,
6890,
1367,
9237,
1476,
2579,
1573,
6890,
33074,
72,
1507,
2566,
6488,
3797,
2003,
1766,
28475,
5083,
1377,
4017,
10507,
59342,
1645,
1379,
1697,
1727,
22577,
1384,
14673,
7689,
72,
1507,
1939,
3797,
1872,
2003,
1843,
39648,
35191,
1520,
1895,
9108,
11653,
5083,
1766,
3822,
1641,
2055,
1766,
4656,
72,
11255,
9169,
1727,
8641,
28052,
1367,
1385,
1645,
1358,
5418,
4924,
72,
1826,
2336,
9184,
1457,
31497,
1379,
3797,
2003,
4755,
1358,
4562,
13494,
1517,
1525,
1358,
18086,
72,
3330,
2003,
1573,
4288,
10175,
59342,
4944,
59342,
1384,
1766,
28529,
19106,
1525,
1348,
5118,
37610,
63,
22028,
24821,
1697,
2003,
34546,
1367,
1421,
4760,
2533,
27402,
6491,
1358,
23365,
1951,
1358,
17509,
59342,
1385,
9450,
3848,
9146,
1379,
1348,
5574,
1774,
59342,
10391,
7477,
59326,
59399,
59370,
59381,
59400,
63,
22028,
20857,
1379,
3597,
1450,
1369,
2746,
5305,
1384,
2295,
9318,
7653,
2379,
1384,
1458,
9108,
9965,
13267,
1525,
1348,
9965,
33973,
72,
6640,
3884,
59342,
9028,
1379,
2608,
12141,
2286,
1441,
2352,
72,
1507,
10206,
1379,
1358,
20244,
3031,
59342,
1467,
4877,
1525,
1939,
29093,
35839,
59342,
15195,
3292,
1348,
1577,
2583,
2667,
3175,
1379,
1358,
1817,
1379,
1358,
4602,
1377,
1358,
17509,
1384,
7615,
1919,
1593,
30577,
1379,
1817,
1421,
1476,
1385,
34546,
1377,
5567,
63,
2146,
1385,
1441,
31982,
2277,
72,
3163,
1887,
1727,
4708,
9450,
1384,
1933,
63,
4861,
12141,
1379,
23004,
1371,
4413,
1385,
2144,
1348,
2554,
6822,
1520,
1358,
25834,
6561,
5834,
72,
1826,
1523,
1458,
1865,
63,
8786,
13484,
1379,
1358,
1933,
1733,
9495,
1745,
72,
1826,
1523,
10818,
1385,
1441,
1753,
1733,
9495,
2911,
72,
1826,
2264,
2194,
1483,
1434,
1457,
1348,
21816,
1600,
59651,
59324,
6713,
63,
58338,
59342,
3282,
39527,
1374,
3031,
59651,
35210,
1843,
5488,
1520,
29093,
1385,
1441,
27402,
1385,
11354,
72,
1826,
2003,
1843,
40084,
6057,
1932,
18933,
72,
1826,
2003,
35482,
1377,
1469,
50698,
9386,
72,
6147,
7922,
5278,
3021,
1932,
24193,
4910,
1457,
1458,
28896,
37569,
1379,
1358,
3126,
1379,
1358,
17509,
2003,
5278,
2885,
72,
1826,
2003,
15948,
30621,
1385,
6856,
1758,
8858,
1525,
1358,
12829,
1379,
1358,
39527,
1374,
6216,
59342,
1384,
1358,
5059,
20655,
2003,
1843,
2563,
1358,
14200,
1379,
1348,
3304,
63,
8780,
5485,
11772,
3455,
1520,
3827,
1384,
1875,
14480,
10475,
72,
46924,
1379,
1358,
3259,
21816,
1600,
6288,
1523,
1877,
2369,
72,
1507,
10840,
1379,
1358,
25768,
1347,
1523,
17743,
15491,
1432,
58302,
59361,
59328,
2650,
1384,
1457,
1379,
1358,
1758,
8858,
1733,
1467,
1385,
5320,
1467,
3515,
1467,
3259,
1384,
1457,
3109,
19491,
1385,
4906,
23004,
72,
1507,
25768,
1347,
5530,
1432,
1385,
3255,
1457,
1887,
1523,
1919,
59127,
1421,
1358,
23004,
1371,
7417,
2336,
29834,
2128,
1358,
4451,
72,
1900,
15894,
1523,
1573,
59651,
25790,
59342,
1523,
1573,
59651,
1347,
1842,
2369,
3796,
1450,
1358,
10235,
7092,
1379,
2213,
2288,
14862,
72,
1826,
1523,
5809,
1348,
2362,
3282,
39527,
35913,
1525,
3597,
1384,
2362,
15218,
9936,
20244,
1377,
1348,
5354,
7138,
2957,
59342,
1384,
2478,
1753,
15218,
59334,
59399,
59370,
59387,
59400,
59322,
3027,
1951,
1348,
6396,
2720,
1862,
17509,
1733,
1457,
1887,
1523,
1919,
7161,
2478,
1385,
1358,
26552,
1379,
1358,
7138,
72,
1507,
25768,
1347,
2003,
1919,
2218,
59342,
1379,
3884,
72,
1826,
1523,
3265,
5645,
72,
1826,
1523,
4914,
1510,
2042,
1835,
1358,
1817,
1358,
5945,
1377,
1358,
8252,
14059,
59651,
7991,
15948,
5156,
1385,
4356,
1348,
8252,
56753,
1347,
59651,
35210,
25172,
1385,
6216,
72,
1507,
7521,
7739,
2003,
11642,
6491,
1348,
14329,
1384,
1358,
53308,
15003,
11428,
1523,
1377,
23959,
4586,
1753,
72,
19247,
1358,
4405,
1379,
1457,
17925,
5330,
1523,
8354,
72,
1420,
10461,
18571,
1534,
1523,
16432,
5666,
72,
1507,
4405,
5530,
1432,
2517,
72,
1900,
1523,
59342,
1510,
1348,
8681,
59342,
1835,
4488,
1365,
59361,
21466,
1377,
1358,
14978,
72,
1507,
24788,
59339,
1782,
2264,
1383,
1352,
6576,
59342,
1496,
6168,
1536,
1410,
13126,
1385,
1441,
1358,
2369,
1828,
59361,
1699,
5282,
1531,
59342,
1828,
2286,
59324,
10342,
3375,
8461,
1385,
10953,
1910,
1348,
10461,
18571,
1534,
73,
59354,
1507,
5330,
2336,
5230,
3151,
3797,
59342,
2566,
35493,
59651,
59336,
1516,
1371,
1377,
16332,
1377,
1745,
11490,
59651,
25005,
1348,
28977,
3299,
17762,
1384,
1358,
2042,
63,
1370,
2048,
1367,
10461,
18571,
1534,
72,
3030,
1358,
8243,
36314,
1570,
15361,
4462,
1525,
1358,
3797,
72,
3141,
1842,
16201,
8808,
1358,
17762,
43811,
1385,
13376,
46825,
2323,
1835,
1377,
1358,
7887,
2714,
59342,
1383,
32891,
7874,
3292,
1358,
8252,
6795,
72,
1496,
59355,
59361,
59332,
3255,
2620,
5488,
26657,
3389,
59342,
1496,
13383,
1859,
8681,
2620,
1544,
21794,
7901,
1510,
1358,
16415,
1782,
59342,
1496,
1360,
1358,
2121,
5156,
1745,
72,
25101,
10751,
1384,
17762,
1384,
10461,
18571,
2187,
1952,
1441,
5501,
18855,
1379,
1358,
3011,
5503,
36314,
72,
1874,
2286,
1441,
5501,
18855,
3265,
72,
14198,
1554,
1502,
72,
14198,
1554,
59361,
1352,
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11428,
1573,
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8767,
9814,
72,
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72,
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72,
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2914,
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1368,
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4462,
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1358,
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63,
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5330,
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1628,
1729,
59335,
1736,
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72,
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27928,
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1544,
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2055,
1348,
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2072,
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8627,
72,
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3070,
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2620,
2264,
1358,
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1358,
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1782,
59342,
1496,
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1476,
59361,
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1508,
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1365,
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21466,
72,
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1972,
1554,
59361,
1352,
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2629,
1554,
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5829,
2620,
2264,
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3389,
72,
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1412,
1843,
6232,
16583,
72,
3330,
5490,
2629,
1554,
59361,
1352,
2119,
63,
2642,
59331,
8288,
18855,
1379,
1536,
15708,
59361,
59328,
8243,
2810,
72,
3330,
4079,
59361,
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5444,
1531,
1385,
3079,
5729,
1536,
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72,
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1554,
1748,
1707,
72,
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74,
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44217,
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1782,
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5330,
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1432,
2705,
1379,
1358,
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72,
1417,
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1412,
1383,
1719,
2524,
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1358,
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2303,
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8793,
1379,
1358,
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72,
2442,
1476,
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59328,
32746,
2025,
1432,
29934,
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1573,
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1554,
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1385,
1441,
3374,
1385,
4064,
1707,
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8512,
72,
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2279,
2336,
72,
2292,
12770,
72,
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2063,
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1385,
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1450,
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1933,
40131,
4462,
1358,
10241,
1421,
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3597,
72,
2063,
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1348,
4505,
1357,
1578,
6956,
3103,
1377,
2024,
3427,
5276,
72,
2063,
12433,
23865,
1457,
6811,
49708,
25231,
1952,
2661,
2885,
72,
1826,
1523,
1510,
3999,
1713,
5362,
1457,
34525,
1643,
1525,
16797,
3597,
2147,
5249,
1348,
8304,
2822,
8252,
11428,
1467,
1348,
10004,
14059,
1421,
7934,
72,
1826,
1523,
1713,
5362,
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1828,
59361,
59332,
3370,
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1348,
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8093,
72,
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1952,
1828,
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2213,
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1432,
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74,
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3884,
1358,
5059,
3184,
3427,
1580,
1843,
1348,
2076,
1379,
8968,
17036,
72,
41013,
1842,
8968,
1952,
1580,
6665,
1385,
8046,
1773,
1707,
72,
26657,
3389,
1383,
1719,
72,
1507,
11354,
1523,
3538,
59342,
1384,
1932,
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1789,
1523,
12179,
1450,
6919,
33528,
16645,
13723,
72,
26657,
3389,
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72,
11152,
1544,
59361,
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24875,
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2054,
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5530,
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72,
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1434,
1544,
1523,
1877,
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72,
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1383,
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72,
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9906,
2617,
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72,
1496,
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1379,
1449,
1571,
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1664,
2336,
2620,
1544,
4877,
1377,
1348,
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72,
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4453,
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1972,
1554,
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72,
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1554,
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1412,
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1807,
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1441,
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1508,
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1882,
1358,
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63,
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72,
2522,
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1601,
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2235,
1385,
3386,
3985,
1882,
1554,
1748,
6208,
74,
59354,
11190,
3130,
8091,
59320,
59362,
59320,
59349,
59345,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
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1520,
30226,
3013,
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1349,
72,
1496,
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2264,
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72,
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5320,
24529,
1835,
2009,
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72,
1874,
15250,
72,
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1828,
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1745,
1828,
2424,
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1842,
1753,
72,
1874,
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8598,
1842,
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1421,
1441,
1347,
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3985,
72,
1874,
3162,
15250,
72,
1417,
2314,
1457,
24338,
72,
1417,
59361,
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15250,
1347,
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73,
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2063,
1361,
3173,
2350,
1385,
26657,
3389,
1377,
1358,
43456,
72,
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59400,
1496,
23496,
1449,
4064,
3692,
59361,
74,
15752,
72,
1417,
3596,
1476,
72,
19019,
21022,
1458,
59361,
3402,
1664,
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72,
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1496,
22548,
4146,
46778,
1432,
1457,
74,
59354,
6575,
26657,
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72,
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2579,
72,
26657,
3389,
1523,
1973,
6833,
72,
1507,
24788,
59339,
1782,
1383,
1719,
7593,
2168,
72,
2972,
1523,
2025,
1358,
6380,
1379,
27331,
59342,
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1358,
35230,
6216,
1379,
24501,
63,
1574,
11354,
3292,
1358,
8252,
1379,
1358,
4562,
1457,
39378,
2054,
72,
1507,
24788,
59339,
1782,
2264,
2123,
3210,
1434,
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1496,
4268,
29934,
4064,
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1645,
2352,
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2042,
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1358,
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13613,
72,
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1646,
1348,
3515,
2596,
1358,
24788,
59339,
1782,
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42360,
1371,
72,
1507,
16415,
1782,
2264,
59342,
1496,
59355,
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1699,
2661,
1348,
9246,
1510,
1476,
72,
59354,
2972,
1523,
1348,
40600,
1385,
1358,
3827,
6208,
72,
1507,
16290,
1377,
1358,
16494,
7660,
72,
1507,
28589,
1379,
7575,
63,
1625,
59338,
29934,
1384,
6870,
4975,
3827,
1523,
36879,
72,
1507,
1380,
14955,
4885,
1782,
4870,
1859,
3659,
1510,
51723,
72,
26657,
3389,
5530,
1510,
1476,
2517,
72,
38018,
1544,
44406,
41292,
59342,
1496,
59355,
2629,
1476,
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15752,
72,
1417,
59361,
1699,
1717,
10076,
72,
3721,
10871,
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73,
59354,
2063,
1570,
1718,
8512,
1645,
2914,
59342,
44406,
41292,
1496,
24793,
17086,
73,
59354,
1384,
4386,
8474,
2128,
1358,
9229,
1385,
1358,
4975,
72,
1646,
3071,
22361,
11923,
57208,
1367,
1377,
1358,
18086,
72,
3330,
1727,
23396,
1432,
1358,
3126,
1379,
1358,
17509,
59342,
2438,
2362,
4781,
72,
26657,
3389,
7366,
5574,
3080,
72,
1646,
1358,
5118,
2714,
2042,
6491,
2995,
59342,
1859,
9446,
2003,
4356,
22726,
1385,
5738,
4545,
43456,
72,
2063,
22687,
4462,
1525,
1358,
1570,
5258,
3126,
72,
2063,
3596,
23994,
6593,
2131,
9930,
1384,
1859,
4949,
54599,
72,
2063,
23901,
2362,
59342,
2362,
2911,
72,
2063,
9712,
2054,
10715,
59335,
2081,
3985,
72,
3330,
1727,
6208,
72,
3163,
1828,
2003,
4478,
14301,
8331,
8736,
1510,
17319,
72,
2063,
5530,
1432,
59342,
1973,
6833,
72,
1826,
11222,
1457,
1358,
3070,
1817,
1544,
59361,
59332,
2198,
2054,
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17237,
1952,
1441,
14301,
2223,
72,
3163,
1544,
14880,
1828,
1727,
40703,
3797,
72,
4255,
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1520,
1358,
8990,
1479,
34954,
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1544,
7366,
5667,
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1358,
2885,
2132,
58128,
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1441,
11072,
1421,
2995,
72,
5082,
1358,
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1379,
1358,
1479,
34954,
59361,
59328,
7129,
1544,
11883,
1457,
1476,
1523,
5738,
41607,
72,
58128,
1952,
25783,
1580,
3263,
59399,
59367,
59345,
59400,
1457,
8742,
1358,
17111,
2003,
11222,
72,
2063,
59361,
59332,
1580,
1385,
2163,
2100,
72,
72,
72,
72,
1826,
1523,
1939,
1365,
59361,
21466,
1882,
1544,
9906,
1358,
2885,
2132,
58128,
2003,
10818,
1385,
5829,
72,
2063,
4910,
9930,
51898,
72,
2063,
3638,
55517,
72,
2972,
1523,
1919,
3978,
72,
2063,
3638,
2517,
59342,
1384,
2517,
72,
2063,
7640,
3375,
5349,
72,
1826,
1523,
1348,
19777,
1379,
3507,
3332,
2406,
1432,
1348,
23994,
6593,
9131,
1697,
2003,
1843,
52362,
1379,
10746,
1385,
2144,
1358,
3507,
2087,
10592,
72,
26657,
3389,
39086,
1476,
1384,
7640,
2581,
1798,
1432,
1476,
1697,
1358,
7815,
4891,
2286,
1573,
2111,
2995,
1385,
2376,
72,
2063,
5530,
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1951,
1358,
40425,
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2303,
1348,
44713,
59342,
1384,
47376,
3250,
59342,
3816,
1371,
1358,
3378,
1379,
1859,
40601,
33239,
1421,
1348,
41789,
2193,
1510,
1358,
4290,
72,
1496,
59355,
7640,
36314,
7521,
2914,
1377,
1358,
4598,
72,
3330,
24817,
59361,
59323,
3797,
72,
1417,
1523,
23764,
1828,
3427,
1441,
27120,
1664,
72,
1417,
59361,
1412,
11642,
1385,
5829,
1520,
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2368,
1796,
1417,
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72,
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1377,
5519,
59342,
1377,
3304,
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1457,
36314,
1525,
3597,
1952,
1573,
1441,
3374,
1385,
2376,
1476,
72,
26657,
3389,
1523,
1573,
1733,
3221,
59342,
1696,
1358,
4290,
32390,
59361,
59323,
1843,
9253,
72,
2442,
1476,
2003,
1843,
2376,
59342,
1887,
59361,
59332,
1580,
1843,
1458,
12140,
2903,
11072,
1421,
2995,
1882,
1544,
2303,
1476,
72,
3055,
1476,
9184,
72,
2063,
22687,
2128,
1358,
4975,
10007,
1358,
1383,
1362,
5033,
2718,
2368,
72,
5,
5,
4254,
3130,
8091,
59320,
59362,
5,
5,
59349,
59349,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
1826,
15948,
1348,
2362,
2288,
2369,
59342,
4719,
1544,
2579,
4976,
1384,
9399,
1859,
8649,
1525,
1348,
3515,
14329,
7546,
1865,
1697,
1348,
24639,
13573,
2003,
5738,
1843,
6583,
72,
1646,
1358,
4975,
59342,
4719,
59342,
1384,
1450,
3538,
3220,
59342,
1476,
1523,
1573,
4302,
1385,
10629,
1980,
4258,
1544,
59361,
59332,
11642,
72,
1646,
2354,
59342,
1544,
1523,
37896,
23516,
9150,
1959,
1796,
1544,
3427,
59322,
59361,
59323,
1580,
8627,
1358,
27544,
8611,
1540,
6090,
1349,
1882,
1544,
5248,
6138,
1358,
2885,
2132,
23220,
1371,
2003,
1843,
3220,
1432,
72,
20894,
59342,
1476,
1523,
1348,
2362,
2288,
2369,
1385,
1441,
15175,
5026,
1865,
2911,
63,
2877,
2499,
59399,
59367,
59349,
59400,
7112,
1433,
11913,
1384,
1358,
20738,
4955,
20871,
1525,
1697,
4648,
2003,
1843,
20160,
72,
2063,
9906,
1358,
8611,
1540,
6090,
1349,
1384,
9680,
7941,
59342,
1384,
1510,
2288,
2652,
9906,
1358,
24639,
72,
5884,
2368,
2147,
1441,
1919,
1753,
1910,
1348,
10077,
63,
39227,
4462,
72,
2063,
7366,
10007,
1476,
59342,
4781,
1385,
1358,
5800,
59361,
59328,
8793,
72,
2063,
9712,
4264,
72,
1826,
1523,
1368,
5362,
59342,
1696,
49965,
2493,
1476,
1523,
1358,
2652,
6380,
1457,
27928,
1952,
5444,
1385,
8861,
1377,
1358,
4680,
2533,
1383,
14034,
1377,
1348,
8243,
38592,
29779,
1367,
1520,
1782,
16559,
72,
2063,
19777,
1367,
1859,
3211,
1432,
1358,
5800,
2413,
72,
1507,
4264,
15496,
27193,
72,
2063,
2264,
59342,
1496,
59426,
1487,
74,
59354,
2063,
9712,
2100,
5845,
59336,
72,
1496,
59355,
2303,
2132,
58302,
2003,
1843,
2620,
1544,
2264,
50321,
72,
1496,
10520,
1523,
1919,
4858,
1887,
72,
2972,
59361,
59328,
1919,
2068,
1457,
1544,
59361,
59328,
1843,
11605,
72,
5878,
1417,
1523,
15571,
8838,
72,
1417,
1523,
3370,
1450,
2566,
1875,
3797,
1872,
1727,
14880,
11605,
1696,
1872,
1502,
2911,
20495,
72,
1874,
44232,
72,
1826,
1410,
3019,
4702,
1385,
5514,
1457,
58302,
1410,
1694,
29902,
1367,
1384,
1457,
1544,
1982,
17319,
1508,
21209,
1441,
51345,
72,
59354,
3067,
1544,
2264,
1523,
26802,
1385,
2144,
2100,
3221,
1457,
1476,
1523,
1544,
1872,
9184,
1377,
1358,
43456,
72,
3163,
1476,
1523,
35521,
2759,
59342,
3265,
72,
1826,
1523,
3019,
4702,
1385,
5514,
1421,
58302,
59361,
59328,
17642,
6470,
72,
4502,
1571,
3410,
5514,
59342,
11932,
1358,
21941,
3292,
1358,
4562,
33291,
1421,
72,
3163,
26657,
3389,
4455,
1457,
1358,
21941,
3292,
58302,
59361,
59328,
5503,
2128,
1358,
4413,
2336,
1377,
6395,
1727,
2362,
2407,
14671,
72,
58128,
35380,
1707,
1951,
1358,
7815,
4891,
72,
1496,
59355,
9471,
59361,
59323,
59651,
59328,
1539,
1476,
1523,
1449,
2620,
2271,
2264,
1450,
18752,
72,
1496,
59355,
7640,
1358,
3628,
59342,
1449,
2127,
59342,
1510,
1348,
6254,
72,
3141,
1933,
1417,
4455,
1828,
1727,
3797,
72,
3055,
1882,
1417,
1933,
7640,
1449,
59651,
13860,
1434,
59651,
59355,
1523,
23764,
72,
59354,
1496,
59355,
59361,
59335,
16094,
1417,
10126,
59361,
59323,
3162,
5418,
2620,
2264,
26657,
3389,
72,
1496,
4453,
59361,
59328,
2471,
5418,
73,
1826,
59361,
59328,
2362,
2471,
5418,
2620,
2271,
52353,
1467,
1544,
31957,
3679,
72,
1496,
6168,
1828,
59361,
1412,
18860,
2995,
59342,
1544,
59361,
1699,
2144,
2054,
3122,
1457,
1544,
59361,
59328,
1348,
1782,
59342,
1384,
1457,
3797,
1502,
59399,
59367,
59362,
59400,
26145,
1384,
1573,
2042,
7934,
59342,
1384,
1457,
1828,
2147,
1441,
1807,
5883,
1384,
1554,
1766,
59328,
72,
59354,
1507,
5695,
59361,
59328,
10462,
1523,
1608,
19160,
72,
26657,
3389,
2286,
16313,
1457,
1645,
1358,
1817,
2271,
59361,
59332,
1843,
11072,
59342,
2271,
59361,
59332,
1843,
20378,
1385,
43104,
1457,
2478,
1358,
17111,
5418,
1523,
3482,
59342,
3639,
2271,
11160,
1432,
58302,
59361,
59328,
8603,
3795,
6288,
72,
1496,
11820,
1449,
2235,
1385,
5320,
1664,
7061,
2024,
1449,
2303,
1707,
74,
59354,
2271,
6575,
72,
1496,
59355,
59361,
1699,
5320,
1449,
2596,
1417,
1758,
1432,
1358,
2368,
2620,
2264,
26657,
3389,
72,
1496,
4221,
2235,
1385,
1748,
7521,
4462,
1525,
2438,
2533,
2676,
6733,
72,
59354,
2063,
5530,
2524,
1385,
1358,
3515,
2368,
59342,
9092,
4918,
1377,
1358,
1357,
16950,
1798,
1476,
2003,
14167,
3287,
1367,
1384,
12790,
72,
2063,
6651,
1385,
4104,
1476,
1733,
1544,
2286,
28778,
1476,
2237,
1432,
1385,
1358,
24639,
72,
2063,
2086,
1348,
12790,
43281,
3493,
59342,
1384,
1467,
1544,
5901,
1544,
5793,
2024,
2003,
11222,
59342,
2754,
1358,
2566,
3797,
1377,
1358,
53308,
15003,
11428,
1384,
1358,
20960,
1371,
1379,
1906,
26456,
2718,
8243,
2810,
18855,
1951,
1476,
1450,
2054,
72,
1496,
5857,
1828,
5175,
59361,
59323,
15327,
1449,
2620,
2264,
58128,
2637,
1466,
3080,
59342,
1496,
1483,
1828,
5175,
59361,
59323,
15327,
2608,
2566,
59342,
1384,
1887,
1727,
1358,
1939,
4648,
1449,
3255,
3596,
1865,
1358,
39648,
2757,
1384,
5530,
2237,
1385,
1358,
4598,
72,
3449,
1371,
1449,
59342,
1457,
59361,
59328,
4746,
3797,
1828,
2003,
1510,
1766,
24377,
59339,
1457,
1554,
2127,
24817,
59361,
59323,
9760,
1367,
72,
3055,
3882,
2147,
1828,
1580,
9760,
1367,
1348,
27639,
1782,
74,
59354,
5,
5,
4254,
3130,
8091,
59320,
59362,
5,
5,
59349,
59362,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
26657,
3389,
2579,
1573,
3978,
1510,
4586,
72,
4090,
1379,
1358,
1618,
2406,
4746,
59342,
1544,
4455,
59342,
2003,
3370,
1712,
1348,
8598,
72,
11362,
58302,
2003,
57826,
17233,
59328,
1450,
1358,
16254,
1379,
1358,
8922,
2306,
72,
24336,
2329,
3686,
2003,
4755,
2054,
72,
1496,
13184,
59361,
59328,
2352,
59342,
1835,
58302,
2620,
1544,
2264,
2055,
1348,
6068,
1377,
1697,
1544,
2003,
1843,
14239,
72,
1496,
5857,
1536,
4277,
59361,
59323,
2193,
2471,
73,
59354,
2063,
10492,
1877,
1358,
2368,
72,
2063,
35055,
44148,
9930,
32000,
1932,
5225,
2164,
72,
2972,
1523,
1348,
2718,
59342,
1368,
1719,
2658,
49668,
1349,
1379,
40368,
72,
1826,
5530,
1707,
1384,
1544,
1523,
24140,
72,
30912,
1434,
1544,
3596,
1385,
1859,
9499,
1384,
2264,
41380,
59342,
1496,
4221,
59361,
1352,
1377,
1348,
3887,
72,
4502,
1379,
1358,
5225,
25605,
1410,
9680,
5738,
1510,
1348,
2352,
8453,
1385,
1358,
1875,
72,
1420,
15292,
13346,
1410,
12790,
72,
59399,
59367,
59370,
59400,
1507,
2368,
11381,
59361,
59323,
1441,
15925,
2478,
1796,
1417,
10550,
1385,
1748,
1476,
1712,
1432,
1358,
5800,
72,
1874,
59361,
1412,
3596,
1385,
5694,
72,
2972,
31085,
1385,
1441,
22786,
1432,
1358,
2369,
1712,
1385,
1358,
17509,
3911,
72,
2442,
1554,
3735,
2054,
1554,
59361,
1699,
1441,
1645,
2352,
72,
3163,
1536,
1410,
5963,
17086,
73,
59354,
1826,
11222,
1457,
1544,
1523,
45197,
1432,
2319,
17603,
72,
2972,
1727,
1919,
22786,
7521,
1951,
1358,
7138,
59342,
1384,
1476,
1523,
1573,
5963,
17086,
1457,
1859,
2368,
11381,
59361,
59323,
1441,
15925,
72,
2442,
1544,
59361,
59332,
1843,
3374,
1385,
1748,
1476,
1432,
1358,
5800,
1384,
1560,
1660,
3493,
2524,
1358,
24639,
59342,
1358,
2368,
1952,
1580,
1843,
48987,
1367,
1384,
1828,
2286,
2362,
2119,
1580,
1843,
11605,
72,
3163,
1536,
1523,
1421,
1358,
4244,
1385,
46631,
72,
3330,
4870,
6811,
1525,
1358,
2368,
2493,
1828,
2286,
1573,
2198,
8947,
1358,
2671,
72,
3330,
4603,
1707,
6595,
4918,
1434,
1385,
2185,
1358,
24639,
1457,
22786,
1952,
1441,
5156,
1385,
2185,
1432,
1358,
2369,
1385,
1358,
17509,
72,
1826,
1523,
1573,
1358,
37346,
2369,
1385,
1358,
2809,
6208,
1358,
5433,
72,
1826,
1523,
27709,
6089,
1910,
1348,
3211,
2444,
1952,
1580,
1843,
72,
3163,
26657,
3389,
5051,
36992,
59342,
1510,
3999,
59342,
3292,
1697,
50218,
1694,
39585,
1434,
21059,
1952,
1441,
40109,
72,
3055,
1828,
22687,
2524,
1358,
2357,
24639,
72,
26657,
3389,
1523,
1694,
2641,
1367,
72,
3330,
2003,
1919,
4186,
72,
2063,
32390,
59361,
59323,
44961,
3021,
1358,
7872,
2533,
72,
4139,
2676,
5248,
59651,
23323,
1384,
2911,
59651,
1483,
44261,
1358,
1383,
1505,
6138,
16645,
1384,
7112,
10746,
57208,
1367,
51312,
1379,
1358,
18086,
59342,
1544,
7366,
21022,
1951,
1358,
40425,
1384,
2303,
1348,
12790,
63,
3668,
9131,
59342,
1707,
1379,
1697,
1520,
2362,
2407,
5272,
1544,
2563,
1348,
5425,
72,
4139,
1544,
5248,
2237,
59342,
58128,
1523,
18250,
46690,
2731,
1385,
1358,
3515,
21729,
8157,
72,
3308,
9680,
1476,
2002,
72,
1496,
59355,
1523,
18119,
1421,
5418,
2620,
2271,
12876,
6765,
1434,
72,
1496,
2219,
4694,
12450,
1457,
1887,
1502,
36314,
1377,
1358,
8922,
2306,
59342,
1384,
1544,
59651,
59354,
1457,
1952,
1441,
58302,
1496,
59651,
21025,
1441,
5220,
1385,
2144,
2054,
3122,
2024,
4279,
1379,
39729,
1554,
1502,
72,
3055,
1887,
2286,
1441,
11702,
7895,
5738,
1842,
1817,
72,
3163,
1887,
59399,
59367,
59367,
59400,
10217,
59361,
59323,
1842,
5418,
13725,
59328,
1432,
1358,
3827,
72,
1417,
20327,
1476,
59361,
59328,
3265,
3829,
72,
59354,
2063,
8071,
59342,
1450,
47306,
72,
3330,
2563,
1766,
2369,
3588,
1358,
1383,
1505,
63,
59341,
1388,
8840,
4793,
1379,
1358,
24639,
72,
2685,
1358,
3378,
15748,
18007,
59342,
26657,
3389,
3326,
4345,
2517,
1384,
2517,
1510,
58128,
59361,
59328,
5558,
72,
3308,
11160,
2362,
25031,
72,
2063,
23396,
56175,
1457,
2271,
1523,
8232,
1379,
58302,
72,
3308,
59361,
59332,
3946,
4455,
11171,
1835,
26657,
3389,
72,
10046,
2336,
59342,
1508,
5410,
2336,
59342,
1645,
2100,
13212,
1727,
1421,
58302,
72,
4139,
40459,
9184,
1432,
1358,
30338,
2914,
2054,
59342,
1544,
2264,
55185,
1434,
59342,
1496,
6577,
59361,
1412,
2003,
1919,
3547,
1421,
17691,
63,
22277,
4680,
1384,
1417,
14609,
1457,
1449,
59361,
1412,
2003,
5729,
1385,
10953,
72,
37072,
1580,
1417,
72,
2442,
26272,
3611,
1712,
1536,
24639,
1554,
59361,
1699,
8861,
1358,
19836,
72,
1417,
2629,
1554,
59361,
59332,
3162,
1748,
2002,
1358,
24639,
1384,
3079,
1385,
3547,
72,
2738,
1417,
1982,
1441,
3374,
1385,
2163,
3375,
1421,
1531,
1385,
10953,
72,
59354,
2972,
1502,
3155,
8243,
38592,
1359,
1733,
1830,
57249,
1467,
1385,
3176,
1919,
4186,
1510,
1645,
1421,
1745,
1872,
12450,
2024,
1385,
2193,
1421,
72,
2972,
1410,
6053,
1895,
6031,
1379,
1376,
7552,
2872,
72,
4502,
4279,
1379,
1977,
2355,
1410,
1573,
5963,
1385,
10953,
72,
2419,
2170,
59328,
1379,
2123,
1558,
1356,
1502,
1573,
23697,
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2003,
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2003,
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1358,
9281,
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1358,
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23685,
1727,
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13548,
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41655,
1358,
27780,
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1828,
9712,
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5418,
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1523,
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72,
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2336,
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5069,
3031,
59342,
2264,
1358,
5418,
5978,
35266,
59342,
1608,
23090,
59342,
2003,
1843,
27544,
72,
3163,
36723,
5931,
9012,
72,
13889,
7337,
31261,
2003,
1843,
24555,
1385,
1748,
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7537,
1379,
1358,
36367,
10370,
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1476,
3912,
1556,
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72,
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1919,
36098,
3766,
2003,
1843,
27929,
59342,
1696,
9146,
1379,
48987,
1533,
7386,
1520,
1458,
28896,
8546,
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1520,
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2306,
59361,
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19529,
1384,
4104,
72,
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1843,
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1385,
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11354,
59361,
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1525,
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72,
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1932,
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72,
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1671,
11575,
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1995,
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9666,
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19962,
1580,
35482,
1432,
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1502,
5220,
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1980,
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1449,
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1358,
1875,
2566,
3797,
17319,
72,
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31085,
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5320,
2009,
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14560,
72,
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11428,
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9930,
59342,
9028,
2003,
4755,
1766,
5865,
1698,
72,
3163,
58302,
2003,
72,
1507,
5978,
35266,
5530,
1432,
1450,
1348,
6940,
3827,
1379,
10607,
59342,
13282,
1457,
15656,
14978,
1348,
43427,
2003,
2295,
1750,
1951,
1358,
23365,
1385,
9218,
1358,
24193,
3303,
1377,
9237,
3021,
1476,
2286,
1573,
1441,
8954,
1525,
1348,
1981,
63,
59337,
5042,
10427,
72,
26657,
3389,
35145,
1358,
1383,
2359,
1371,
1544,
1384,
1358,
4648,
2003,
9712,
2128,
1358,
8252,
22967,
1379,
1766,
14059,
72,
5,
5,
4254,
3130,
8091,
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5,
5,
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5,
5,
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72,
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2003,
25146,
53573,
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72,
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1410,
14880,
1385,
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2003,
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14622,
72,
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21809,
2003,
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72,
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72,
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2003,
2295,
1750,
1707,
1379,
1476,
72,
2063,
59361,
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55263,
2731,
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72,
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6765,
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1358,
3797,
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59361,
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1843,
39648,
35191,
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1450,
1358,
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1379,
1358,
14743,
72,
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1523,
17145,
1457,
11932,
1508,
1872,
2310,
2003,
35482,
1377,
1469,
50698,
9386,
16409,
1367,
1348,
15132,
59651,
1362,
3427,
1467,
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3809,
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2003,
59651,
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6031,
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12159,
1697,
5908,
1358,
39648,
2757,
1384,
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1845,
4774,
72,
11908,
1358,
2566,
3797,
6488,
1525,
1358,
6691,
4598,
2003,
6982,
1379,
1476,
59342,
4944,
59342,
1476,
1523,
1573,
1385,
1441,
5501,
1348,
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27946,
72,
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5418,
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10607,
72,
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1523,
5069,
1421,
58297,
1432,
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20247,
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2871,
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11575,
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1603,
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12149,
63,
9532,
2809,
72,
3163,
2291,
5272,
1952,
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28994,
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2144,
11702,
4151,
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5944,
33083,
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1358,
39729,
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72,
11255,
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1441,
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1573,
40612,
1385,
3441,
39729,
72,
27154,
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2436,
2295,
17002,
1379,
1932,
3809,
2003,
1843,
10760,
1520,
1358,
26272,
2336,
21668,
1348,
17041,
1350,
1835,
1358,
5433,
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72,
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1432,
1358,
36367,
10370,
1796,
1476,
2147,
8464,
5834,
72,
3163,
1358,
4694,
1410,
9618,
50110,
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2144,
1536,
4151,
1450,
6219,
63,
1443,
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1460,
1950,
1348,
11702,
1745,
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72,
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1952,
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34525,
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2750,
22261,
7092,
72,
50611,
55408,
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1580,
3952,
1358,
15775,
59342,
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1745,
8976,
12234,
2054,
72,
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2319,
1727,
2336,
28160,
1733,
1457,
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1520,
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1933,
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4451,
72,
1826,
1523,
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4505,
1961,
1379,
2135,
1364,
3984,
1697,
11343,
1358,
7578,
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1348,
10235,
1745,
59651,
59324,
7092,
1379,
1934,
6493,
1384,
15775,
2212,
1384,
7802,
63,
49834,
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1533,
59342,
1696,
1573,
1379,
25663,
1492,
34003,
1409,
72,
3163,
26657,
3389,
2003,
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24809,
1476,
1523,
1358,
17111,
1379,
20072,
59651,
13383,
6263,
59361,
59328,
27775,
2003,
4526,
1348,
1715,
25448,
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2286,
4003,
1733,
2288,
1467,
1476,
1523,
1573,
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1932,
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72,
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9060,
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1952,
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25718,
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1510,
1358,
7739,
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1510,
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6092,
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13184,
1952,
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7941,
2620,
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10835,
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1476,
72,
59354,
58128,
6603,
1916,
1367,
1847,
1434,
72,
3330,
36264,
1951,
1358,
40425,
72,
3330,
2286,
1573,
1441,
4755,
1525,
1358,
24639,
72,
3330,
2286,
1573,
2478,
1441,
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12159,
1432,
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2675,
1379,
29093,
59342,
1384,
1421,
1457,
6094,
2785,
63,
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1384,
5577,
3686,
72,
11362,
1458,
39697,
2373,
4704,
1476,
1712,
1384,
1536,
6092,
7270,
4313,
1348,
2471,
1745,
72,
1417,
2286,
31104,
8738,
1358,
28589,
1510,
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1696,
1882,
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1358,
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1476,
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1712,
1753,
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1863,
3795,
2579,
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44225,
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1863,
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39080,
1384,
1417,
7640,
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9712,
1919,
4844,
72,
1507,
10207,
2563,
1645,
1358,
5465,
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1358,
2809,
72,
1417,
2478,
2303,
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72,
59354,
58128,
11160,
52478,
9312,
72,
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4729,
1525,
1469,
50698,
9386,
2620,
1544,
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2100,
72,
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59328,
1358,
16332,
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1645,
2352,
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2750,
15819,
1476,
72,
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1417,
11844,
1457,
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1727,
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3987,
27946,
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73,
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58128,
15948,
1385,
2295,
18600,
1348,
3515,
72,
11190,
3130,
8091,
59320,
59370,
59320,
59362,
59344,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
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2110,
74,
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2620,
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3389,
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5810,
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3700,
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7092,
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1531,
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2750,
1807,
11844,
1371,
1828,
59361,
1352,
1358,
6915,
4757,
1476,
72,
1515,
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2608,
1377,
1536,
10370,
1601,
17233,
7874,
1712,
5500,
1910,
1441,
2303,
1707,
72,
59354,
1496,
28780,
2620,
2264,
58128,
50321,
59342,
1496,
33508,
59322,
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59323,
3176,
2636,
5514,
1421,
72,
72,
72,
72,
59354,
3308,
5175,
59361,
59323,
3255,
58302,
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59328,
2258,
72,
3308,
11381,
59361,
59323,
72,
26657,
3389,
2197,
1400,
12846,
2517,
72,
1496,
4453,
59361,
59328,
1573,
4505,
59342,
58128,
72,
1507,
5799,
1410,
1432,
1358,
3700,
1379,
1358,
57145,
72,
3163,
1377,
3569,
2844,
1358,
4562,
1421,
1531,
1385,
1675,
1410,
1748,
1385,
1358,
11290,
1450,
2024,
1417,
59361,
1412,
2303,
1707,
72,
1417,
59361,
1412,
2003,
1348,
30218,
15132,
1385,
2076,
59342,
4944,
2720,
1528,
1769,
72,
1507,
17041,
1350,
3094,
1580,
1843,
22729,
2237,
1520,
1348,
7521,
1508,
1458,
46668,
15132,
72,
1826,
11947,
59361,
59323,
1441,
4302,
1385,
8753,
1450,
1745,
1379,
2608,
72,
21997,
1432,
72,
59354,
3308,
23901,
1712,
72,
3308,
6603,
1882,
1544,
5530,
1432,
72,
3330,
21883,
5564,
28595,
34528,
3239,
1384,
5530,
2524,
1951,
54598,
2374,
46815,
72,
1507,
7739,
6651,
1385,
24237,
1377,
1358,
11634,
72,
1507,
3220,
1523,
12474,
72,
2522,
26657,
3389,
59342,
1945,
2544,
1367,
1385,
8243,
38592,
5848,
59342,
1476,
1523,
7611,
1416,
12696,
72,
2522,
58128,
1476,
1523,
2636,
15675,
72,
3330,
5248,
1385,
1348,
1357,
1486,
59342,
18876,
24094,
3811,
1432,
1697,
16822,
59399,
59381,
59373,
59400,
11464,
7172,
23994,
6593,
15748,
72,
1826,
4503,
1367,
1385,
1348,
5069,
40131,
59342,
27815,
1377,
11986,
72,
26657,
3389,
57645,
1859,
9446,
2914,
72,
2972,
1727,
2302,
9530,
63,
9683,
59325,
5269,
2718,
11464,
24555,
1385,
9481,
1951,
1358,
4104,
3597,
72,
2063,
2197,
40023,
1377,
15548,
72,
1496,
59352,
1362,
2524,
1384,
3547,
2620,
1544,
5167,
1367,
72,
1496,
59355,
59361,
1699,
6001,
1348,
4290,
72,
59354,
2063,
19903,
2002,
20052,
1525,
7978,
7262,
1463,
1436,
1465,
72,
2063,
5530,
1707,
1951,
1358,
40131,
1384,
6651,
1385,
14975,
2054,
1707,
1377,
1348,
4763,
72,
2063,
5248,
2237,
1384,
19903,
2002,
1753,
59342,
1384,
2911,
1753,
72,
19670,
18533,
59342,
2493,
1358,
5300,
2003,
1385,
1441,
3282,
1384,
9530,
59342,
1358,
9307,
1413,
72,
59383,
72,
59352,
72,
9184,
1377,
7978,
7262,
1432,
1358,
32047,
2825,
2617,
3597,
72,
1507,
9307,
1727,
28137,
9499,
1981,
59342,
1384,
1358,
5300,
1727,
4488,
9499,
5997,
72,
3330,
2147,
2087,
8797,
1434,
1525,
1358,
3827,
72,
1496,
59355,
2629,
2620,
2264,
26657,
3389,
1450,
15548,
59342,
1496,
13383,
1554,
3427,
1748,
3375,
1707,
1379,
1536,
73,
2442,
1476,
59361,
59328,
19030,
1367,
59342,
1348,
1772,
59333,
19175,
3427,
3816,
6421,
1377,
2055,
1531,
72,
59354,
2063,
11160,
1510,
2100,
2339,
1765,
3798,
1434,
72,
1496,
59355,
2629,
1449,
59361,
59332,
4740,
1348,
2471,
16101,
72,
59354,
1496,
59355,
2235,
1385,
3255,
3375,
2620,
2264,
58128,
15563,
72,
1496,
59355,
2629,
1449,
59361,
1412,
1843,
5220,
1385,
34438,
1664,
1712,
59342,
2055,
8500,
3375,
1385,
1348,
1589,
1435,
1664,
59651,
7991,
1417,
4907,
72,
2442,
1358,
36314,
10217,
59361,
59323,
57145,
59342,
1828,
59361,
1699,
3946,
4780,
3114,
27928,
24963,
1872,
59361,
59328,
4755,
1457,
1828,
10217,
59361,
59323,
72,
56137,
59361,
59323,
1457,
2759,
74,
2738,
1796,
1476,
1410,
59651,
59354,
1496,
4221,
2127,
1379,
4746,
3797,
1872,
1727,
18860,
2620,
52353,
26657,
3389,
59342,
1496,
1483,
1417,
1523,
1745,
1379,
2054,
72,
3030,
4746,
44232,
72,
58302,
1982,
1580,
44232,
72,
3330,
59361,
1352,
1573,
2471,
1510,
11471,
39506,
72,
1874,
2424,
59361,
59323,
2127,
1384,
1571,
59361,
59323,
2127,
11320,
1476,
59361,
59328,
11190,
3130,
8091,
59320,
59370,
59320,
59362,
59345,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
10097,
1432,
1348,
5418,
13725,
1457,
1544,
59361,
59328,
1707,
1384,
4462,
72,
3055,
1887,
59361,
59328,
13512,
1919,
4702,
1385,
11088,
1457,
58302,
1410,
8603,
72,
59354,
1496,
5857,
1796,
1544,
7640,
2054,
59342,
1882,
1544,
1523,
18363,
2054,
59651,
59354,
1496,
2219,
5799,
2620,
52353,
26657,
3389,
2517,
59342,
1496,
1360,
1457,
1544,
59399,
59387,
59344,
59400,
7640,
57145,
72,
1507,
2025,
4702,
1385,
14609,
1476,
1410,
1457,
1828,
18830,
11047,
1367,
3151,
1379,
1531,
72,
59354,
58128,
15948,
1385,
2629,
2362,
3538,
72,
30912,
1434,
2271,
2264,
1608,
44771,
59342,
1496,
59355,
59361,
59335,
3220,
1385,
3386,
1432,
18119,
1842,
8210,
73,
59354,
1496,
24793,
5695,
73,
59354,
2264,
26657,
3389,
72,
3330,
49413,
72,
2063,
1523,
3035,
1353,
1847,
59342,
2319,
1450,
28475,
1384,
1450,
9930,
72,
2063,
10492,
1457,
1544,
59361,
59332,
2563,
58128,
5558,
11519,
1882,
59651,
1436,
1536,
1413,
72,
59383,
72,
59352,
72,
7150,
9293,
2111,
59651,
1362,
9471,
59361,
59323,
5834,
72,
2738,
1887,
1523,
4708,
1379,
2197,
1400,
2714,
1377,
1358,
2671,
7826,
1385,
2144,
1476,
47665,
1961,
72,
4720,
1348,
2362,
2288,
1817,
1828,
9712,
1348,
1368,
5362,
1383,
2359,
1371,
1377,
1358,
3827,
72,
2972,
3427,
1580,
1843,
4648,
1882,
1828,
1727,
1560,
1528,
4069,
1865,
5963,
34184,
59342,
1384,
1828,
3427,
1573,
1580,
14619,
2493,
1828,
1727,
1573,
18250,
1421,
2213,
11771,
72,
2972,
1727,
31261,
1474,
22860,
1645,
2914,
1358,
17509,
2957,
72,
3330,
59361,
59332,
1843,
5159,
1712,
11206,
1377,
3455,
1385,
1348,
29093,
14879,
1379,
3375,
6421,
1377,
1525,
3597,
72,
6183,
1828,
45941,
1377,
16347,
26311,
2914,
1358,
24193,
2885,
1379,
1457,
4877,
3031,
72,
3330,
45941,
1981,
59342,
1733,
1981,
1457,
2025,
5838,
2951,
1952,
1580,
20093,
2054,
1707,
72,
3163,
31146,
4226,
3911,
1727,
2213,
1457,
5838,
2951,
2579,
1573,
2071,
72,
1507,
31261,
1727,
43133,
1525,
1358,
5813,
72,
3163,
1358,
44774,
2286,
2198,
72,
4139,
1745,
43509,
2236,
1523,
1973,
6833,
1520,
3351,
59342,
1476,
8937,
1981,
63,
54728,
2976,
21248,
1379,
1645,
1358,
7138,
59342,
1385,
1441,
4526,
1384,
8954,
1450,
9361,
7689,
29031,
1421,
1842,
11722,
1379,
3813,
1520,
1358,
16254,
1379,
1358,
3031,
1525,
3597,
72,
1420,
2554,
53310,
34077,
1358,
1413,
72,
59383,
72,
59352,
72,
3019,
5047,
1458,
7946,
1379,
1358,
5456,
59361,
2702,
72,
2972,
1523,
1458,
14447,
1384,
21127,
9656,
72,
1507,
23056,
1379,
51550,
1727,
7076,
72,
1507,
3266,
1384,
17527,
1384,
42095,
5120,
1379,
1358,
40131,
59361,
59328,
4793,
1727,
9856,
72,
1420,
2362,
3378,
10427,
59342,
10818,
1421,
2446,
34869,
63,
20199,
2125,
59342,
4870,
2002,
1525,
1358,
9816,
3827,
3548,
1385,
1469,
50698,
9386,
72,
2738,
26657,
3389,
1384,
58128,
9712,
1476,
2288,
2533,
1476,
5248,
59399,
59387,
59345,
59400,
1377,
19030,
72,
1826,
45941,
3250,
59342,
38132,
1932,
2369,
3836,
2374,
46815,
1384,
4109,
14329,
63,
3907,
3411,
1385,
6352,
2560,
34077,
3292,
1358,
18086,
72,
1507,
1939,
42003,
1358,
40131,
9712,
1476,
1933,
1467,
1348,
1368,
5362,
5002,
1443,
72,
1507,
6380,
4281,
59342,
41288,
59342,
2110,
4281,
2517,
72,
1826,
9246,
1865,
1348,
9096,
14329,
63,
3907,
2231,
1384,
41267,
1358,
18876,
3597,
1450,
1358,
8377,
9307,
1432,
1476,
72,
26657,
3389,
1384,
58128,
12186,
1367,
1707,
1951,
3089,
59342,
1366,
2967,
2287,
1516,
2323,
72,
1507,
10427,
17709,
1551,
1367,
1384,
17709,
1551,
1367,
59342,
34653,
1358,
24193,
4226,
72,
1826,
4759,
3300,
4462,
1385,
18023,
1510,
1348,
36098,
3895,
2779,
72,
1826,
14060,
1430,
1367,
72,
1826,
2563,
1348,
5047,
63,
15552,
2181,
59342,
1384,
1476,
3700,
63,
3587,
8109,
1361,
5912,
2168,
59342,
1384,
5248,
1712,
1384,
1433,
30824,
1384,
2295,
8109,
1432,
1932,
2237,
1384,
1383,
2912,
72,
72,
72,
72,
2738,
1476,
5248,
1707,
1379,
1932,
57715,
2703,
1870,
31104,
17691,
9499,
3806,
1358,
5813,
72,
1826,
12186,
1367,
4462,
1467,
4781,
1467,
3259,
1385,
39984,
1932,
25605,
1385,
11354,
72,
1826,
5530,
4462,
6491,
1358,
23365,
72,
1507,
6380,
1379,
1932,
3220,
1383,
20863,
2350,
1384,
1383,
20863,
2350,
1384,
1523,
11642,
72,
1826,
9184,
1385,
1580,
44232,
1525,
1348,
57430,
1899,
30641,
72,
26657,
3389,
1433,
2406,
2055,
1476,
72,
5878,
1544,
5530,
5349,
72,
1496,
2537,
10287,
73,
59354,
1544,
1361,
4558,
47799,
59333,
1769,
72,
1496,
54378,
1432,
73,
7864,
73,
59354,
11190,
3130,
8091,
59320,
59370,
59320,
59362,
59349,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2063,
50013,
58128,
59361,
59328,
2587,
72,
3330,
40667,
3985,
72,
8860,
2059,
1434,
59342,
3375,
2003,
4957,
6138,
1358,
14743,
1379,
1358,
3378,
10427,
72,
2063,
59361,
59332,
1843,
45439,
9312,
1384,
18830,
1367,
1384,
1645,
1859,
47164,
1727,
1348,
1570,
1460,
2469,
1371,
4846,
1559,
2596,
1859,
19333,
1878,
16730,
1384,
1859,
8512,
14704,
3846,
1432,
1358,
9183,
1379,
1859,
10370,
72,
2063,
32390,
59361,
59323,
2295,
1750,
1707,
1379,
1358,
15132,
1457,
2563,
2995,
10234,
53343,
72,
2063,
59361,
59332,
31300,
1707,
1379,
1476,
72,
2738,
2110,
1544,
12186,
1367,
1421,
1358,
35948,
72,
2063,
3596,
4462,
72,
2738,
1476,
1952,
5115,
1385,
2608,
1385,
10805,
1544,
4877,
1457,
1544,
59361,
59332,
15247,
3265,
5645,
1510,
1358,
28357,
63,
22819,
72,
2442,
1368,
1719,
34529,
2003,
2563,
1476,
59342,
1828,
59361,
59332,
1843,
48203,
4355,
1384,
18860,
1520,
1358,
36314,
1379,
1469,
50698,
9386,
59342,
1384,
1887,
59361,
59332,
1843,
1458,
12140,
2903,
1899,
1712,
1421,
1358,
10427,
72,
1826,
1523,
1348,
15251,
6311,
72,
3163,
1476,
36595,
2350,
1358,
14743,
59361,
59328,
13691,
13945,
1457,
1544,
32390,
59361,
59323,
1843,
7615,
1385,
4529,
1358,
10427,
2533,
1358,
59399,
59387,
59349,
59400,
15132,
1523,
9680,
1432,
2995,
72,
2063,
2286,
1580,
1843,
39648,
35191,
2596,
1432,
1358,
5813,
59342,
1384,
1544,
1384,
1859,
10427,
2286,
1580,
35770,
18508,
2434,
1385,
36314,
1525,
3351,
2809,
72,
1826,
1523,
36595,
3493,
72,
26657,
3389,
1384,
58128,
12186,
1367,
1421,
1358,
7125,
2272,
1510,
1358,
40131,
59361,
59328,
8793,
72,
26657,
3389,
1584,
25220,
1859,
36600,
12884,
12779,
1385,
12824,
1919,
14511,
1377,
12067,
72,
1507,
20778,
1384,
1358,
17709,
1551,
1371,
1379,
1358,
10427,
2003,
1843,
1348,
3049,
8027,
1457,
1887,
1727,
1368,
1719,
34529,
2438,
72,
2442,
1358,
15132,
2286,
2245,
22444,
3846,
1348,
14743,
1377,
5567,
63,
2146,
59342,
1476,
2286,
1441,
12933,
1510,
1368,
1719,
34529,
1432,
1358,
5813,
72,
72,
72,
72,
2972,
2286,
1441,
1919,
1368,
1485,
2561,
5514,
72,
72,
72,
72,
2814,
21421,
45596,
59342,
26657,
3389,
10084,
58128,
2524,
1348,
24094,
3811,
1384,
1951,
1348,
28031,
5775,
2911,
4258,
1682,
2524,
72,
2063,
2192,
11284,
1616,
39540,
59342,
1384,
2991,
59346,
2440,
59342,
1384,
18871,
59342,
1384,
14089,
59342,
1384,
2291,
32083,
1498,
1597,
45203,
1516,
46219,
72,
6363,
17002,
1379,
57715,
4351,
1798,
9036,
7874,
1377,
1859,
9446,
72,
2063,
9712,
1358,
52257,
1712,
1381,
1370,
1697,
10559,
1457,
1859,
32606,
36368,
59342,
1972,
1358,
36368,
1377,
1859,
9446,
1384,
40530,
59327,
7933,
1384,
6103,
59342,
1727,
27244,
1385,
28802,
3813,
59342,
13282,
2291,
4279,
1379,
4290,
1828,
2286,
11575,
2650,
1645,
1510,
4586,
72,
2063,
20181,
1363,
1367,
72,
2063,
6665,
1385,
2163,
1348,
36219,
63,
4028,
1421,
58128,
1733,
1457,
1796,
1508,
1882,
1358,
1995,
40483,
26751,
1421,
2100,
59342,
1828,
1952,
1573,
2163,
2100,
72,
3163,
1544,
5051,
1859,
19333,
1385,
45358,
1377,
1618,
14127,
1384,
2720,
2171,
2533,
1544,
2286,
17520,
5729,
72,
3330,
5175,
59361,
59323,
72,
1507,
28589,
3249,
9312,
24772,
72,
1507,
7912,
2822,
16235,
1798,
1379,
1759,
4468,
1349,
1679,
4351,
15748,
1368,
5362,
72,
1507,
44225,
1712,
1381,
1370,
1859,
32606,
36368,
4877,
59342,
53573,
72,
2063,
1384,
58128,
2003,
1843,
1510,
1358,
24377,
59339,
1379,
1358,
1694,
29568,
9091,
1379,
1358,
16332,
15132,
72,
22882,
1358,
15132,
2003,
55713,
1367,
2054,
59342,
1520,
12317,
72,
3271,
1476,
2286,
1580,
1843,
42717,
1367,
72,
72,
72,
72,
1826,
1523,
2362,
36595,
3493,
72,
59399,
59387,
59362,
59400,
5,
5,
4254,
3130,
8091,
59320,
59367,
5,
11783,
43456,
13872,
59342,
26657,
3389,
1384,
58128,
1727,
2302,
10390,
4462,
1525,
1358,
40131,
2132,
1544,
2003,
2563,
1358,
1413,
72,
59383,
72,
59352,
72,
3330,
1727,
1877,
1348,
22710,
4925,
1379,
10746,
1525,
1348,
38299,
7112,
7051,
13723,
18272,
3806,
5813,
1510,
1358,
3211,
1379,
1932,
28896,
35402,
72,
3330,
9036,
1348,
27422,
1379,
27513,
3292,
15210,
1525,
1348,
6254,
72,
26657,
3389,
2003,
34077,
1348,
31300,
7112,
4258,
11642,
1450,
7125,
63,
9736,
72,
2063,
19903,
10450,
1379,
1358,
44726,
59339,
8237,
1450,
1859,
27737,
72,
5878,
1544,
16708,
1457,
2750,
1348,
3053,
1358,
2123,
1558,
1356,
51389,
1544,
59361,
59332,
23424,
2286,
1573,
1441,
29368,
72,
3330,
2003,
1385,
1441,
3574,
9910,
1508,
1573,
29368,
1510,
1645,
72,
1496,
4221,
59361,
1699,
2314,
1476,
1348,
32765,
2620,
1544,
5793,
58128,
59342,
1496,
21959,
51960,
1384,
6091,
1384,
30323,
59342,
1384,
10953,
2024,
1554,
1571,
72,
59354,
3308,
59361,
59332,
1843,
29726,
1450,
20398,
1373,
2533,
1358,
7739,
1357,
2231,
59342,
1696,
1544,
32390,
59361,
59323,
1383,
2406,
3114,
2100,
3547,
1753,
1910,
1523,
13512,
5834,
72,
11152,
1544,
59361,
59332,
9173,
1385,
7879,
2100,
1421,
1348,
2596,
59342,
1696,
2271,
59361,
59332,
25297,
72,
6183,
2271,
4575,
1383,
1352,
6576,
1377,
1358,
27422,
1379,
1358,
13723,
59342,
32746,
72,
1496,
4221,
3427,
3079,
1421,
5418,
2620,
1544,
9457,
72,
5,
5,
4254,
3130,
8091,
59320,
59367,
5,
5,
59362,
59362,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3308,
2563,
1458,
58219,
50095,
1379,
1906,
1386,
72,
2063,
9680,
1432,
1358,
17144,
8157,
1384,
29966,
1476,
1377,
72,
2972,
1523,
1919,
1757,
9524,
1499,
1379,
5418,
59342,
2336,
72,
1420,
3155,
3424,
4109,
59342,
5418,
5530,
1432,
1358,
3827,
1432,
10044,
59342,
10278,
6389,
1385,
4488,
63,
19664,
15478,
1377,
1697,
1385,
4405,
1645,
1358,
1573,
1505,
51280,
4413,
1379,
1358,
2809,
72,
4470,
1379,
1457,
4488,
4760,
59342,
3265,
59342,
1523,
5278,
1712,
1520,
15022,
6094,
1525,
1348,
33354,
72,
6183,
4264,
1523,
8507,
72,
2972,
1727,
35230,
10316,
7403,
59342,
1696,
2121,
1727,
51614,
1421,
1715,
53096,
1379,
1358,
8875,
1385,
11354,
1510,
1469,
50698,
9386,
72,
9411,
6031,
1379,
17234,
2787,
1523,
16790,
59399,
59387,
59370,
59400,
1385,
3827,
1859,
7334,
1835,
1358,
4562,
1525,
1358,
18086,
1384,
1358,
36314,
1476,
9293,
72,
8013,
2003,
1919,
7334,
1696,
2025,
1458,
42249,
1385,
4984,
1385,
1348,
3282,
11854,
72,
32198,
59342,
4719,
59342,
2003,
1385,
1441,
3370,
1432,
1358,
3827,
2131,
7394,
59328,
72,
1507,
7578,
5418,
1523,
3077,
72,
16015,
19469,
2914,
1358,
2287,
23288,
1379,
1358,
5433,
2957,
1727,
2560,
37250,
26792,
1379,
1645,
1766,
29683,
72,
22043,
13956,
2003,
1843,
2295,
1750,
1385,
1358,
3532,
4025,
1384,
1727,
1510,
1358,
17478,
2957,
5167,
2385,
1573,
4258,
1525,
1469,
50698,
9386,
72,
55237,
4291,
4443,
1727,
12933,
1384,
6436,
1385,
23220,
1358,
17509,
1384,
1358,
23365,
2914,
1476,
2147,
1358,
1929,
23584,
72,
1420,
39257,
10427,
2003,
1843,
2295,
1750,
1385,
1358,
17509,
1450,
1348,
7463,
9270,
28827,
2125,
2237,
5577,
1932,
16353,
7640,
72,
1826,
15247,
1510,
1358,
17509,
1384,
1932,
9270,
28052,
1367,
2237,
7061,
6811,
1457,
2003,
1573,
1843,
3379,
42926,
1384,
8202,
2533,
72,
3163,
25146,
1887,
1523,
1348,
16622,
1379,
3643,
1384,
1358,
39257,
5530,
1707,
1379,
2873,
1384,
45273,
72,
9104,
9270,
13804,
8158,
28573,
1358,
15287,
44535,
2914,
3639,
1932,
25996,
72,
25603,
28827,
2545,
1727,
1441,
9318,
12000,
1432,
2291,
32083,
1498,
1597,
6771,
1385,
2024,
1523,
2336,
11303,
1736,
3638,
1358,
36367,
8922,
2306,
72,
3330,
2003,
4430,
1919,
37234,
72,
1507,
10534,
13956,
2003,
8071,
1457,
1358,
16332,
15132,
59651,
1984,
1364,
2757,
15132,
59651,
50195,
15132,
59651,
21194,
10990,
1377,
6950,
72,
26657,
3389,
2003,
4455,
58128,
49872,
1525,
11400,
10106,
2440,
59342,
1696,
2100,
10462,
5248,
1707,
1379,
1358,
43456,
42003,
1358,
3510,
7112,
35402,
72,
1496,
6577,
2303,
1457,
1707,
73,
59354,
2271,
2264,
72,
1496,
25675,
1932,
2560,
10990,
73,
59354,
1496,
59355,
2003,
1348,
5871,
30218,
15132,
1385,
3193,
1432,
2620,
2264,
26657,
3389,
72,
1496,
17130,
10126,
59361,
59323,
72,
10363,
1982,
1441,
1348,
5963,
4562,
72,
24336,
2329,
59361,
59328,
3220,
1385,
2144,
5310,
13284,
1379,
3375,
1457,
4313,
2995,
18830,
1384,
45439,
1384,
39648,
35191,
2596,
1544,
59361,
59328,
1377,
1358,
1908,
72,
2972,
1502,
1895,
3628,
1457,
29025,
1664,
1835,
1457,
72,
9617,
10126,
59361,
59323,
1828,
11605,
27928,
4681,
74,
3330,
59361,
1412,
3596,
1358,
3049,
1835,
1467,
59399,
59387,
59367,
59400,
42810,
1467,
1476,
1571,
1748,
2750,
1895,
20578,
72,
2738,
3882,
5175,
59361,
59323,
1554,
1748,
1358,
3304,
6187,
1379,
1358,
15132,
2055,
1358,
10427,
2003,
1843,
15925,
4462,
74,
3330,
2286,
1580,
3041,
1531,
1358,
3304,
3217,
1796,
1828,
59361,
59332,
6664,
1385,
72,
9617,
5175,
59361,
59323,
1828,
74,
59354,
1496,
6168,
2104,
2399,
4462,
1525,
1358,
19469,
2620,
2264,
58128,
59361,
59328,
10462,
59342,
2362,
25031,
1384,
7727,
59339,
59342,
1496,
40916,
1828,
2629,
1457,
59361,
59328,
4708,
72,
3330,
1571,
2661,
1358,
19469,
72,
72,
72,
72,
59354,
26657,
3389,
2579,
1573,
3978,
59342,
1384,
58128,
2264,
1919,
1753,
72,
6555,
27331,
5334,
6396,
1384,
5452,
72,
3308,
1523,
1733,
1554,
1629,
1457,
2478,
49315,
2286,
1573,
3386,
2100,
54515,
72,
26657,
3389,
6665,
1385,
2629,
72,
2972,
1523,
1358,
6094,
1379,
4186,
72,
3317,
1558,
1356,
51389,
1727,
3298,
4708,
1696,
1694,
2396,
43833,
1546,
72,
1826,
1952,
1929,
1753,
18424,
15210,
1385,
6914,
1645,
1358,
5156,
19356,
1421,
53676,
72,
22882,
1828,
1727,
4258,
4708,
1525,
1358,
17509,
1385,
2661,
1753,
1817,
27120,
4186,
72,
3330,
1727,
5738,
7061,
1377,
1358,
7826,
1379,
8853,
43196,
8858,
1872,
4697,
21419,
1520,
1421,
4202,
59342,
1450,
1895,
1573,
63,
23392,
63,
24307,
27120,
72,
3163,
8853,
13852,
2057,
1727,
1573,
1467,
2613,
38081,
1467,
58128,
1384,
9930,
72,
3330,
41655,
2197,
1484,
59328,
1384,
34476,
72,
2522,
1536,
6031,
1379,
7826,
59342,
1759,
32797,
2053,
1727,
1348,
49605,
1461,
72,
2063,
5501,
1358,
5010,
1450,
1357,
1578,
6956,
33725,
72,
7753,
3424,
1379,
37184,
4186,
1384,
2213,
6554,
5248,
73,
3163,
1544,
1384,
58128,
11947,
59361,
59323,
1441,
1358,
2025,
6915,
1385,
2629,
2213,
3628,
1796,
16006,
9012,
1467,
1828,
1727,
3220,
72,
1507,
19469,
2914,
1469,
50698,
9386,
1727,
2560,
37250,
26792,
72,
1507,
17041,
1350,
1835,
1476,
2003,
1843,
2563,
1385,
31606,
72,
2972,
1523,
35453,
1573,
2025,
1377,
6263,
59342,
1696,
19341,
72,
1646,
4622,
1887,
1727,
8243,
51955,
1379,
1875,
4529,
1798,
1379,
1875,
18469,
1379,
3597,
72,
1507,
7824,
12238,
1952,
49598,
4781,
16903,
59342,
1796,
1828,
32390,
59361,
59323,
6802,
3911,
72,
2972,
59361,
59332,
1441,
1358,
8257,
1379,
1348,
4240,
1492,
1438,
1406,
1525,
1358,
7365,
11436,
59342,
6764,
55517,
1696,
4606,
1712,
1385,
1368,
2261,
12455,
1467,
2608,
1872,
6665,
1385,
6804,
1616,
32469,
1645,
1358,
16124,
1520,
1697,
1828,
2286,
1748,
4462,
72,
2442,
1358,
36314,
1379,
1358,
8922,
2306,
6664,
1753,
11190,
3130,
8091,
59320,
59367,
59320,
59362,
59370,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
1910,
59399,
59387,
59381,
59400,
1358,
12421,
1379,
1645,
11444,
1525,
1835,
1766,
24193,
2885,
59342,
1887,
1952,
1441,
26492,
14622,
72,
2965,
2054,
3859,
50714,
2731,
1384,
1887,
1952,
1441,
35453,
1384,
12088,
1384,
11400,
7574,
26615,
1351,
59342,
1450,
2276,
63,
1506,
9910,
4342,
46587,
1465,
45596,
1525,
49315,
2493,
1828,
1727,
4462,
1525,
3381,
14757,
72,
1826,
11160,
1467,
1796,
1348,
28977,
1508,
1939,
57145,
2286,
48987,
1348,
10790,
2356,
2750,
1358,
1929,
1385,
15327,
1745,
3331,
3441,
2560,
5667,
72,
2063,
9712,
1348,
6380,
72,
2063,
9680,
2002,
1358,
8157,
59342,
49937,
15411,
1358,
1584,
1451,
3578,
5425,
1697,
1523,
5490,
40109,
3292,
5729,
3098,
39660,
72,
1507,
6380,
9012,
72,
2972,
1727,
23141,
38914,
1379,
10746,
59342,
1384,
2110,
1368,
5362,
1488,
2966,
3493,
59342,
5738,
19902,
1919,
4844,
72,
40878,
1358,
43650,
1523,
59342,
1476,
1523,
1573,
3282,
72,
1826,
15948,
1385,
1891,
1844,
31520,
1462,
14474,
2128,
1358,
11417,
1384,
1358,
4975,
59342,
16822,
23004,
1367,
7172,
11830,
6288,
23004,
1371,
72,
1507,
5675,
1798,
2517,
72,
2738,
25146,
26657,
3389,
11883,
2024,
1476,
1523,
72,
6640,
3884,
73,
2063,
59361,
59332,
9712,
1476,
1377,
1358,
53308,
15003,
11428,
59342,
1882,
1544,
1523,
1348,
14059,
1349,
1379,
1358,
1995,
40483,
1525,
3597,
72,
2063,
18272,
1384,
7366,
10007,
1358,
10733,
72,
1507,
43650,
2579,
1573,
2399,
4462,
72,
1826,
5530,
1835,
1932,
2701,
29453,
1450,
1358,
2461,
33083,
1879,
23227,
1467,
2533,
72,
26657,
3389,
12369,
1951,
1348,
7112,
72,
2063,
1433,
41543,
1865,
1348,
31300,
9131,
1432,
1358,
5813,
72,
2063,
5248,
1385,
1358,
2885,
2132,
1358,
43650,
2147,
1441,
72,
2972,
1523,
37099,
72,
2063,
49668,
1367,
1358,
2295,
1565,
1379,
1859,
21729,
33239,
1384,
1377,
1358,
16235,
1379,
42341,
1544,
7640,
1859,
44605,
72,
1826,
2003,
9712,
1859,
3895,
72,
1826,
1523,
1348,
10461,
18571,
1534,
59342,
1820,
1528,
3080,
4048,
2350,
1712,
1951,
1348,
1618,
2371,
59339,
7160,
1384,
5969,
1402,
1434,
1983,
9424,
1645,
49225,
1498,
3888,
59342,
2754,
3797,
72,
1420,
10461,
18571,
1534,
1410,
14004,
1358,
1745,
8243,
43650,
2750,
1458,
25445,
72,
10046,
3797,
3058,
6576,
29048,
1476,
2493,
1733,
4022,
1476,
1649,
14067,
1358,
7344,
1379,
6700,
29759,
2545,
1384,
5047,
63,
12405,
2550,
40190,
72,
1826,
11611,
10256,
1536,
1520,
1932,
2194,
1483,
3203,
17892,
1385,
2399,
4462,
1525,
27928,
72,
26657,
3389,
1838,
1367,
9930,
1467,
1348,
5047,
63,
12405,
2550,
5848,
1349,
72,
59399,
59387,
59387,
59400,
2063,
24928,
1450,
1358,
5425,
2055,
1348,
2554,
18925,
1525,
1859,
33239,
63,
3907,
1565,
72,
30912,
1434,
1544,
2003,
1348,
2718,
59342,
31104,
2192,
1619,
3325,
5998,
1379,
1825,
3585,
1367,
7125,
72,
2063,
29368,
1865,
1476,
59342,
1384,
1358,
28589,
1379,
17243,
1488,
1679,
1367,
58128,
1525,
2100,
58219,
3109,
4765,
72,
1496,
5856,
59651,
59354,
1496,
4221,
59361,
1352,
3932,
1348,
5645,
1924,
1576,
2620,
2264,
26657,
3389,
2197,
1591,
1769,
72,
1496,
59353,
41607,
37840,
72,
13893,
1536,
11242,
72,
2972,
59361,
59328,
1348,
1399,
2812,
1379,
10461,
18571,
1534,
1432,
1476,
72,
3594,
18424,
73,
1826,
59361,
59328,
4664,
73,
59354,
58128,
2264,
59342,
1496,
28906,
63,
59331,
63,
59331,
63,
59331,
73,
59354,
5878,
59342,
1496,
5415,
1887,
1753,
1421,
1449,
74,
59354,
1496,
4106,
7379,
73,
59354,
1544,
29232,
2100,
72,
1496,
59355,
30743,
1367,
1476,
2524,
1450,
1863,
7822,
59339,
5425,
59342,
1384,
2025,
3596,
16157,
1348,
5047,
63,
5095,
9456,
3651,
2596,
1417,
1523,
6103,
1966,
1384,
12087,
1476,
72,
59354,
3308,
41655,
58877,
1434,
59342,
1384,
1882,
2271,
59361,
59332,
8491,
1544,
9173,
1753,
59342,
1697,
2271,
25297,
3639,
1544,
59361,
59332,
2003,
1348,
4954,
72,
3330,
2579,
1573,
5787,
9198,
1358,
5059,
10461,
18571,
1534,
59342,
1696,
1476,
1523,
1458,
10398,
1384,
30387,
1597,
16101,
59342,
1887,
1377,
1358,
43456,
1450,
1358,
31104,
63,
59338,
1797,
1371,
1955,
1950,
2119,
63,
16285,
1525,
19030,
72,
26657,
3389,
2264,
59342,
1496,
59355,
59361,
59335,
6031,
1379,
1348,
5418,
34433,
72,
2419,
1541,
1554,
2198,
2024,
1358,
8243,
8157,
16497,
1502,
8500,
74,
59354,
1496,
5918,
3884,
2620,
2264,
58128,
72,
3308,
4400,
43050,
1434,
59358,
1496,
45319,
1476,
59361,
59328,
1358,
16201,
4186,
59342,
1696,
59651,
59355,
5514,
1449,
59361,
1699,
6246,
1863,
5534,
2055,
1536,
1410,
1645,
1865,
72,
1417,
2424,
59361,
59323,
2127,
6461,
3686,
1417,
59361,
59332,
3255,
1457,
1385,
72,
59354,
1496,
16594,
2255,
2620,
2264,
26657,
3389,
59342,
1496,
13383,
1417,
59361,
1412,
2563,
1458,
3440,
55780,
1386,
1384,
25870,
16457,
72,
59354,
3163,
1859,
3992,
1377,
1358,
43456,
1523,
1573,
6990,
72,
2063,
59361,
59332,
31300,
1377,
3531,
1450,
58128,
2055,
6682,
2100,
2025,
11171,
59342,
1384,
2319,
3651,
2271,
2003,
1843,
1450,
58302,
72,
3308,
10818,
1385,
43986,
58302,
72,
3163,
1432,
1358,
5799,
1510,
2587,
58302,
1523,
11190,
3130,
8091,
59320,
59367,
59320,
59362,
59367,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3569,
8603,
1508,
1348,
14059,
1349,
1379,
1358,
1995,
40483,
59375,
1796,
1358,
2652,
59342,
1859,
21253,
1379,
5503,
1385,
43986,
58128,
2579,
1573,
2193,
2471,
59342,
1384,
1796,
1358,
1933,
59342,
1536,
1523,
25783,
1919,
1817,
1385,
6534,
1519,
1859,
6770,
72,
2063,
2303,
1348,
5418,
13725,
72,
2063,
23865,
1457,
59399,
59387,
59384,
59400,
2121,
8157,
10382,
1952,
5671,
1432,
1358,
3827,
1645,
4975,
59342,
2336,
1457,
1476,
1523,
17868,
17336,
1457,
1358,
3031,
1377,
1469,
50698,
9386,
1523,
1348,
8922,
2306,
14492,
1995,
40483,
1385,
11354,
72,
1507,
4694,
19198,
19710,
1379,
2054,
1467,
1496,
5232,
7024,
2620,
1377,
1348,
2495,
1556,
1896,
1379,
1358,
3717,
59342,
1696,
1358,
3049,
1523,
42640,
1379,
36723,
1407,
3565,
2336,
72,
3141,
1358,
8257,
1358,
24193,
2003,
15948,
1972,
3351,
55583,
1556,
27871,
32779,
1379,
1358,
4279,
1457,
11343,
1712,
17386,
3979,
6370,
72,
6183,
1358,
3049,
1523,
8257,
1385,
5842,
1476,
59342,
1384,
2104,
3427,
4976,
3220,
1385,
1766,
16813,
1384,
1358,
23671,
3427,
12043,
1582,
1385,
12369,
1432,
1817,
72,
4139,
1457,
11222,
59342,
24127,
1952,
1441,
1510,
2587,
72,
1507,
5418,
5248,
1377,
1348,
54247,
10462,
1697,
7446,
2009,
19143,
59358,
12891,
1753,
2718,
19469,
2003,
1843,
13428,
37250,
26792,
2493,
1379,
1766,
32120,
1385,
1469,
50698,
9386,
72,
1507,
12159,
25448,
1379,
1358,
34525,
1643,
2003,
22729,
2237,
1358,
8849,
17041,
1350,
1520,
1467,
2636,
1467,
4488,
10390,
72,
3163,
1358,
3510,
5418,
1523,
1457,
1358,
34525,
1643,
2003,
12790,
8157,
37099,
72,
50637,
1828,
59361,
59332,
8954,
1384,
43868,
1358,
3554,
8546,
2656,
20906,
1525,
1358,
43427,
1828,
59361,
59332,
48932,
2524,
72,
16320,
1434,
2055,
1357,
1660,
1750,
59342,
2264,
1358,
5418,
2650,
59342,
1348,
2314,
2003,
3611,
2128,
1432,
1348,
8849,
3554,
8546,
6771,
72,
1826,
1523,
1348,
3441,
10462,
59342,
1933,
5002,
1443,
1371,
1441,
43545,
4623,
1434,
1384,
2110,
16033,
1450,
25014,
1384,
26498,
1382,
2440,
72,
1507,
4290,
2003,
1843,
1346,
12327,
1384,
2336,
1523,
4914,
1385,
1358,
3049,
72,
1496,
5856,
1358,
25349,
59361,
59328,
1536,
59320,
72,
72,
72,
74,
9070,
72,
72,
72,
72,
3067,
1675,
1449,
8276,
2235,
1664,
1385,
1675,
74,
1900,
15207,
1972,
1358,
3554,
8546,
1899,
1525,
1358,
1772,
59333,
19175,
72,
72,
72,
72,
1491,
3740,
72,
72,
72,
72,
2292,
3596,
1476,
9680,
1432,
72,
72,
72,
72,
3067,
59361,
1699,
1417,
1675,
1450,
1476,
59342,
16339,
4869,
74,
1417,
2424,
59361,
59323,
2127,
3965,
1449,
2235,
1664,
1385,
4984,
1385,
1449,
1508,
1385,
2237,
2697,
59342,
30763,
1457,
1410,
72,
72,
72,
72,
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2235,
1664,
1385,
3255,
1417,
59361,
59335,
1392,
41109,
59361,
1348,
6940,
1817,
1458,
59361,
8550,
1449,
1523,
2438,
72,
72,
72,
72,
1417,
59361,
59335,
1573,
72,
1417,
8550,
1417,
1523,
1887,
72,
72,
72,
72,
2442,
1536,
1410,
1717,
1347,
59361,
1432,
1358,
3827,
1417,
59361,
59335,
15039,
43556,
59342,
8157,
1782,
1432,
1358,
59399,
59387,
59373,
59400,
1772,
59333,
19175,
1939,
1772,
1378,
2846,
72,
1874,
1727,
3005,
1347,
59361,
1377,
1385,
1469,
50698,
9386,
1882,
1417,
2192,
11284,
1348,
1433,
1837,
72,
13421,
2554,
1887,
1727,
15588,
1377,
1863,
9446,
72,
3330,
18830,
1367,
1664,
72,
5878,
1417,
9712,
1348,
1488,
11666,
1972,
1645,
25349,
1523,
24963,
72,
5878,
1417,
10492,
1972,
1417,
2003,
4515,
1379,
1348,
3084,
10809,
2473,
72,
1417,
11381,
59361,
59323,
1366,
22424,
1378,
1348,
17066,
72,
1417,
24997,
1457,
2369,
17156,
1358,
1772,
59333,
19175,
45273,
72,
4139,
1417,
3611,
1385,
59342,
1417,
1523,
18830,
11047,
1367,
1972,
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2003,
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2003,
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1523,
21209,
1753,
55814,
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3686,
26657,
3389,
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1698,
2003,
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1510,
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1950,
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2709,
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1523,
6811,
59399,
59384,
59362,
59400,
1972,
1348,
16332,
15132,
72,
9104,
1948,
3014,
59343,
2508,
2002,
3388,
2025,
1745,
6423,
59342,
9125,
2025,
1745,
1899,
1379,
43268,
36368,
72,
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16332,
15132,
72,
72,
72,
72,
26657,
3389,
8354,
1859,
14935,
1385,
20879,
59342,
1696,
2579,
1573,
72,
1507,
4562,
1510,
1358,
2237,
1379,
1859,
5365,
2003,
3611,
5649,
72,
2063,
1523,
2339,
30824,
72,
58128,
2264,
1570,
1622,
2168,
59342,
1496,
5856,
59361,
59328,
1358,
6094,
74,
3067,
59361,
59328,
11222,
74,
4441,
28589,
59651,
59354,
1496,
4453,
59361,
59328,
2025,
1348,
2709,
5303,
2620,
2264,
26657,
3389,
41380,
72,
1496,
5568,
2042,
5793,
1664,
1895,
2362,
5963,
5418,
72,
1417,
2127,
1980,
1358,
16332,
15132,
4157,
2336,
72,
2738,
1887,
59361,
59328,
1573,
1348,
4562,
1457,
1571,
1441,
3952,
1835,
1476,
72,
4612,
1348,
4562,
72,
1826,
1571,
59361,
59323,
1441,
73,
59354,
2063,
1488,
5269,
25146,
59342,
1887,
1377,
1358,
43456,
59342,
2493,
1544,
7640,
1358,
36297,
7083,
10761,
2714,
1379,
21075,
2125,
1358,
36314,
1872,
59361,
59332,
5278,
1865,
1469,
50698,
9386,
72,
2972,
1523,
6811,
1385,
3386,
2054,
1525,
5254,
1865,
1358,
5059,
11354,
59342,
1919,
6094,
2024,
6031,
1379,
57145,
1508,
1573,
63,
3487,
20053,
1828,
3427,
1441,
72,
5,
5,
4254,
3130,
8091,
59320,
59381,
5,
4453,
1523,
11341,
1365,
59361,
21466,
1510,
4975,
1882,
26657,
3389,
11605,
1358,
10461,
18571,
1534,
59342,
1384,
6919,
1520,
1358,
1817,
58128,
2003,
11642,
2237,
1385,
7727,
1392,
23082,
2350,
2131,
1358,
2515,
1371,
13723,
1379,
1348,
17925,
7112,
72,
16320,
1434,
2055,
41607,
26657,
3389,
2003,
1843,
5257,
4355,
1367,
1882,
1348,
2709,
5303,
20865,
1348,
38669,
16535,
2073,
3019,
1348,
8614,
20394,
1379,
1766,
1376,
1498,
1375,
1405,
72,
3163,
1895,
1817,
1377,
2131,
59342,
1887,
1523,
3351,
15894,
1379,
2636,
6039,
8565,
22110,
72,
32198,
5248,
1707,
1379,
1469,
50698,
9386,
4012,
5433,
72,
3030,
11444,
2003,
53233,
40667,
1525,
1476,
72,
1826,
1523,
27544,
1385,
1358,
36314,
1379,
1358,
4562,
1525,
1358,
18086,
72,
3163,
3375,
5248,
1707,
1379,
1476,
72,
5,
5,
4254,
3130,
8091,
59320,
59381,
5,
5,
59362,
59384,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
24336,
2329,
7640,
1358,
4562,
59342,
1379,
3884,
72,
24336,
2329,
2286,
3895,
1476,
59342,
1697,
1523,
1358,
2412,
8641,
2906,
59399,
59384,
59370,
59400,
4223,
1556,
72,
3721,
3441,
2560,
2286,
2164,
1539,
2560,
3019,
8064,
10390,
1379,
11932,
1476,
1523,
72,
1826,
1523,
23946,
1434,
1348,
7916,
1379,
1895,
6031,
59342,
4944,
59342,
2493,
1476,
4759,
3300,
16332,
37307,
2533,
1476,
59342,
1384,
16332,
37307,
1432,
3569,
3700,
59342,
1384,
1882,
1476,
1523,
4104,
1379,
1358,
5433,
1476,
4957,
16332,
37307,
6491,
1476,
59342,
3265,
72,
12180,
1872,
18463,
1358,
3378,
1447,
7675,
1379,
2608,
56898,
37307,
1379,
16332,
1384,
4533,
59334,
1783,
7366,
2287,
1516,
2323,
1385,
6352,
3932,
1358,
3385,
2517,
72,
3055,
1882,
3375,
7366,
1707,
1379,
1358,
5433,
1384,
5159,
14060,
1430,
1371,
16332,
37307,
2533,
1476,
59342,
3797,
7366,
1385,
1745,
3700,
1508,
1358,
1875,
1384,
8023,
1476,
4738,
72,
3154,
1348,
3282,
63,
8780,
5077,
1377,
1358,
8849,
2957,
5167,
2385,
59342,
1932,
6395,
2286,
1441,
23740,
1467,
1476,
1523,
4877,
72,
1507,
7417,
5083,
1348,
2956,
1379,
1694,
45234,
1597,
15132,
9013,
1697,
4910,
1712,
1467,
1348,
8611,
1561,
1377,
1358,
17041,
1350,
59361,
59328,
20545,
19063,
2473,
72,
4441,
8611,
1561,
59342,
1697,
1523,
1358,
17041,
1350,
6288,
7521,
2237,
59342,
7366,
1707,
2175,
1384,
5334,
1348,
5047,
63,
23550,
1895,
10390,
4073,
72,
1826,
9012,
1385,
3859,
1707,
2175,
59342,
1384,
1432,
1358,
5077,
1476,
9184,
1972,
1348,
23863,
1464,
1438,
8088,
37888,
1520,
1458,
28896,
1891,
59326,
58662,
72,
1826,
1523,
1358,
2957,
1379,
12458,
1379,
1348,
25448,
6809,
9108,
1432,
11354,
59651,
2445,
2957,
2132,
11444,
2286,
1573,
5671,
72,
7672,
15449,
3027,
59342,
1358,
1694,
29568,
7521,
4562,
2977,
1367,
6288,
1525,
1358,
3870,
1384,
7365,
25448,
2864,
1697,
1523,
1932,
6265,
4028,
1384,
1932,
2697,
72,
1826,
7366,
1450,
2407,
57591,
5773,
10007,
1358,
2718,
5688,
1379,
36094,
6593,
59342,
17691,
10390,
1525,
1358,
9175,
1379,
1358,
5433,
72,
29627,
6327,
1384,
8161,
46584,
1757,
1407,
4558,
10076,
1379,
1476,
59342,
2042,
1707,
1379,
6267,
1379,
1932,
37307,
72,
3330,
2563,
3221,
1457,
13854,
1384,
32437,
1384,
1645,
20990,
2139,
6400,
1727,
2051,
1524,
1907,
1379,
2104,
2533,
1358,
7521,
16332,
37307,
2286,
3344,
8872,
2054,
72,
3330,
5530,
1951,
1358,
5688,
1379,
36094,
6593,
6288,
1384,
2287,
1516,
2323,
2563,
3221,
1457,
6811,
20495,
12102,
1377,
1476,
72,
3330,
5530,
1432,
1385,
4104,
1358,
45717,
8947,
72,
59399,
59384,
59367,
59400,
1507,
1694,
29568,
4562,
1525,
1358,
5433,
7366,
1432,
2175,
72,
4817,
28341,
1887,
1523,
1348,
49098,
5002,
1443,
1371,
1972,
4258,
15030,
55356,
59342,
1696,
1476,
1523,
31261,
1450,
12179,
21760,
1488,
9894,
17709,
1551,
1371,
3806,
1358,
7815,
23702,
4529,
72,
2972,
1727,
3797,
1377,
2608,
31261,
1872,
1977,
1889,
1385,
34829,
2524,
1384,
12270,
1536,
16656,
10874,
1379,
1458,
22836,
72,
3163,
1887,
1727,
7844,
13200,
1525,
1358,
32218,
7443,
72,
3055,
2288,
1467,
1358,
1995,
40483,
11605,
29732,
59342,
1828,
1727,
1573,
1385,
1441,
30746,
72,
2972,
1523,
4702,
1421,
1358,
2675,
1377,
1358,
15829,
1379,
1358,
4694,
1385,
1441,
1432,
11702,
4189,
1450,
1348,
7898,
1697,
2286,
5848,
2131,
1358,
11923,
72,
3163,
1887,
1523,
1458,
2478,
1753,
30884,
4702,
72,
1507,
34525,
1643,
2003,
1573,
4681,
25172,
1385,
15771,
59342,
1696,
1476,
1523,
23865,
1457,
1828,
2003,
1348,
55814,
7689,
3084,
1385,
15327,
72,
3055,
1476,
1523,
41882,
5167,
1367,
1457,
1919,
21760,
1508,
43213,
1508,
25768,
1523,
1385,
1441,
2086,
11320,
1358,
1995,
40483,
16790,
4124,
4348,
1520,
20578,
11444,
72,
11255,
5865,
2802,
59651,
2445,
16254,
1379,
1348,
43427,
59651,
59335,
1550,
1441,
49863,
1796,
34525,
1643,
1384,
3797,
9687,
33794,
72,
3055,
1421,
2336,
59651,
3768,
1934,
6493,
73,
1507,
4562,
1697,
29732,
7640,
7366,
49327,
1865,
1358,
5813,
2131,
1358,
7138,
1384,
36094,
6593,
72,
1646,
1358,
5125,
1379,
1358,
25448,
2864,
1887,
1523,
1348,
3375,
1697,
6906,
1358,
16332,
15132,
1384,
5490,
8937,
21956,
72,
40878,
1476,
1523,
59342,
1476,
7366,
1432,
2175,
1384,
1951,
36094,
6593,
1384,
1421,
8064,
10390,
1377,
2291,
5888,
26272,
23740,
1421,
1476,
1385,
3859,
1707,
2517,
72,
4652,
9573,
2049,
1356,
2003,
29100,
6436,
1385,
5998,
6138,
1476,
1796,
1828,
4964,
3596,
32514,
14052,
1384,
13529,
1385,
1717,
1951,
3516,
72,
2836,
11431,
1727,
6436,
1385,
8672,
55408,
1796,
1828,
4964,
3596,
6804,
1385,
1675,
1733,
72,
2738,
1348,
3155,
10390,
4462,
1887,
1727,
7653,
2379,
6436,
1385,
8464,
1766,
9682,
1384,
37130,
7462,
1796,
2025,
3041,
1348,
30103,
5167,
72,
3163,
6811,
11222,
72,
4612,
2478,
1348,
2295,
1579,
1523,
24671,
1385,
1441,
16432,
1520,
1358,
31261,
4258,
1712,
1377,
1358,
18086,
72,
1420,
2295,
1579,
3427,
1441,
5278,
1421,
4124,
1954,
72,
1507,
4562,
1525,
1358,
5433,
24997,
1377,
36094,
6593,
1421,
59399,
59384,
59381,
59400,
1939,
4680,
72,
3141,
1358,
2164,
1379,
1457,
1817,
1476,
7366,
57430,
2237,
10007,
1358,
5433,
72,
1826,
3428,
1358,
5688,
30115,
58742,
6178,
1421,
4505,
22693,
33945,
59329,
5154,
1379,
12622,
11989,
1384,
8157,
19344,
1384,
1348,
18758,
1508,
1939,
72,
1826,
11160,
1467,
1796,
27779,
1769,
22693,
1573,
63,
23109,
39729,
2003,
7366,
1525,
1766,
4427,
38566,
59651,
59378,
50698,
9386,
59651,
2016,
2163,
1707,
2024,
10790,
2356,
3441,
39729,
2003,
49157,
72,
3330,
2286,
8681,
1510,
1476,
1520,
1358,
9969,
1384,
1358,
10011,
59342,
1696,
2121,
30624,
1377,
1358,
9075,
19344,
1379,
1358,
29683,
72,
1826,
5530,
18533,
1384,
57430,
2237,
1951,
1358,
5433,
72,
26202,
1611,
7366,
45843,
23516,
2237,
1951,
1358,
2957,
1457,
2003,
1843,
2051,
1524,
1907,
72,
4612,
2302,
59342,
1696,
4708,
1385,
1441,
3221,
1457,
1358,
4562,
2003,
3098,
8108,
1385,
1358,
2885,
1525,
1697,
1476,
2003,
11190,
3130,
8091,
59320,
59381,
59320,
59362,
59373,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
3611,
72,
39816,
6050,
1727,
26705,
5909,
18748,
1358,
2517,
63,
1456,
1483,
13861,
5688,
1379,
36094,
6593,
1882,
1358,
1694,
29568,
4562,
6847,
1358,
3138,
1379,
1932,
25448,
22747,
1432,
1457,
3515,
4342,
72,
1826,
1523,
2110,
37979,
1573,
3249,
1910,
8064,
10390,
1432,
1932,
2369,
2237,
1385,
1469,
50698,
9386,
72,
1507,
8849,
2003,
44309,
4683,
7874,
1432,
2024,
1828,
59361,
59332,
11108,
72,
1507,
15132,
2515,
1698,
1510,
1358,
17509,
2003,
1348,
3138,
1379,
2636,
1753,
1910,
8064,
10390,
59342,
1696,
1536,
3289,
1597,
59342,
1694,
2059,
25289,
4562,
8937,
1348,
32294,
11672,
4432,
72,
6051,
1476,
59342,
3797,
1384,
7934,
8064,
10390,
4462,
1727,
6898,
72,
1900,
1523,
21138,
5418,
72,
5878,
1358,
1694,
29568,
3031,
2579,
3375,
72,
1507,
16332,
15132,
1457,
49668,
1367,
2237,
1384,
19386,
38753,
1377,
13986,
72,
1507,
22786,
2042,
1396,
1386,
3325,
36094,
6593,
2192,
11284,
1368,
9508,
2714,
1384,
7640,
11773,
15588,
72,
1469,
5994,
1798,
45439,
9312,
2054,
72,
3330,
13872,
1450,
2291,
8568,
30690,
1377,
1618,
14127,
72,
31940,
2054,
1875,
3797,
1727,
39648,
35191,
72,
2522,
4488,
4760,
1358,
1995,
40483,
59361,
6866,
25448,
39648,
35191,
1645,
5503,
3628,
1421,
1348,
6254,
1379,
39206,
10390,
72,
5878,
1421,
28137,
9298,
1476,
39648,
35191,
5503,
3628,
1421,
1348,
6254,
1379,
28137,
10390,
72,
2522,
1348,
18876,
12174,
1476,
9079,
11660,
1367,
3797,
1384,
7934,
1421,
1348,
6039,
6254,
59399,
59384,
59387,
59400,
4681,
72,
2738,
1645,
2009,
18738,
1379,
1358,
16332,
15132,
11883,
59342,
41425,
59342,
1458,
1995,
3357,
2065,
27871,
1379,
1358,
15132,
72,
1507,
4562,
1525,
1358,
5433,
1697,
29732,
2003,
4755,
5530,
2237,
1951,
1358,
5433,
72,
2738,
2110,
3797,
1727,
24671,
1385,
2702,
1385,
7061,
1358,
2461,
6400,
1828,
59361,
59332,
1843,
7615,
1385,
53974,
2533,
1358,
4562,
6651,
1932,
3580,
32863,
72,
1826,
15948,
1457,
6811,
1523,
6847,
59342,
1696,
5577,
1523,
6847,
72,
2442,
1887,
1727,
6866,
26538,
1379,
1358,
22836,
25448,
59342,
2110,
15970,
2286,
1573,
1441,
2003,
1520,
1348,
3331,
19557,
21760,
23234,
1951,
1469,
50698,
9386,
72,
2972,
3427,
1441,
1348,
28977,
8331,
6866,
16332,
15132,
32023,
37279,
2128,
1358,
5433,
72,
7790,
22261,
6029,
1952,
1929,
1385,
1441,
37086,
1377,
1932,
14328,
1385,
1441,
4505,
1379,
2624,
72,
15686,
1379,
1745,
21760,
1887,
3427,
1441,
1348,
1929,
1421,
37033,
72,
3330,
1952,
1580,
1385,
12270,
1358,
5433,
36297,
1434,
59342,
2478,
1932,
23365,
72,
2738,
1358,
6216,
1574,
1525,
1733,
2302,
19557,
55408,
5809,
2286,
1573,
1441,
3816,
1367,
72,
1507,
1995,
40483,
1727,
11280,
1995,
43175,
1597,
72,
6739,
1536,
49708,
25231,
7826,
1523,
2560,
8012,
59342,
58128,
15808,
1524,
20056,
2131,
1939,
13723,
1379,
1348,
2362,
3282,
7112,
59342,
1384,
26657,
3389,
1675,
44148,
3292,
1348,
13979,
7112,
35402,
72,
2063,
14880,
1457,
1544,
16573,
1367,
58128,
2121,
54194,
16806,
72,
2063,
1348,
1824,
1509,
1510,
1383,
14034,
1450,
1358,
25117,
1379,
11379,
4517,
1377,
1859,
31209,
72,
58128,
8354,
2100,
9446,
1510,
5738,
1358,
2461,
12174,
72,
3308,
2192,
9910,
1510,
2995,
1384,
6665,
1385,
1748,
1712,
72,
3308,
1523,
25047,
1384,
46505,
1525,
1358,
54338,
1379,
1358,
5813,
1432,
1697,
2271,
59361,
59332,
15808,
1524,
72,
3163,
1476,
1523,
1348,
1715,
2676,
59342,
1384,
1887,
1523,
17674,
72,
1826,
1523,
10461,
18571,
1534,
29368,
1358,
4975,
2533,
72,
1496,
19738,
8210,
2620,
2264,
58128,
1467,
2271,
1397,
1599,
21542,
1510,
1348,
8386,
59342,
1496,
16909,
8210,
1417,
3671,
1753,
34438,
2285,
1910,
1417,
2579,
72,
59354,
1496,
13184,
59361,
59328,
1348,
18528,
2620,
26657,
3389,
5793,
2100,
72,
1496,
9000,
1707,
1450,
1348,
3155,
1759,
3487,
4569,
1384,
1358,
2676,
21226,
1467,
1828,
3659,
1707,
6224,
72,
3163,
1796,
1449,
2279,
1707,
18119,
51797,
59384,
59384,
59400,
1358,
2676,
12618,
8502,
1349,
3556,
1450,
2121,
1379,
1615,
19553,
24002,
72,
59354,
1496,
6577,
59361,
1412,
3596,
1759,
3487,
4569,
74,
59354,
2271,
6575,
72,
1496,
5727,
20719,
2620,
1544,
2264,
72,
1826,
1523,
2759,
72,
2685,
4681,
1544,
11883,
6811,
1379,
2652,
4975,
59361,
59328,
17478,
33438,
1379,
1348,
3441,
5688,
59342,
1696,
1544,
14880,
1544,
11883,
1980,
1358,
16332,
15132,
5901,
2478,
1796,
1544,
11381,
59361,
59323,
7589,
1707,
1348,
2369,
1385,
7514,
1476,
72,
2063,
2286,
16313,
1919,
14480,
3292,
1476,
72,
3163,
1796,
58128,
2003,
5257,
4355,
1367,
10597,
34438,
2285,
59342,
1887,
1523,
1919,
4702,
1385,
2555,
1674,
2100,
72,
3308,
59361,
59332,
1580,
4702,
4708,
1385,
1441,
1564,
1678,
1367,
3661,
59342,
8257,
1450,
8525,
1379,
58302,
59361,
59328,
3987,
1384,
3220,
1432,
1525,
1887,
72,
1496,
4221,
3427,
12770,
1385,
1358,
5418,
2620,
2271,
9457,
72,
1496,
59353,
1759,
3487,
1701,
1508,
1939,
3427,
1441,
27661,
1707,
2352,
4462,
73,
59354,
9555,
3080,
59342,
1544,
9680,
1432,
1358,
3515,
8157,
72,
21704,
6996,
59342,
1544,
1899,
1476,
1421,
1358,
13615,
6429,
1828,
2286,
8861,
8797,
1434,
72,
1507,
2357,
5239,
1377,
1358,
5418,
1523,
1348,
6283,
59332,
1434,
2354,
1864,
1696,
12219,
1367,
63,
4192,
2650,
1379,
1358,
4562,
1525,
1358,
17509,
1697,
2003,
3428,
1358,
7138,
1384,
8954,
1348,
2718,
3441,
5688,
1377,
9237,
1384,
2110,
2003,
8108,
1385,
1358,
5433,
72,
2972,
1727,
7417,
1379,
47435,
28487,
2382,
30383,
2303,
2132,
1358,
1995,
40483,
2003,
1843,
72,
3330,
1727,
1573,
1358,
28487,
2382,
30383,
1379,
1842,
11354,
1434,
8968,
72,
11190,
3130,
8091,
59320,
59381,
59320,
59370,
59344,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2972,
1523,
1458,
49088,
2650,
1525,
1358,
13956,
1510,
1758,
1432,
1358,
2905,
1379,
1358,
15132,
72,
47872,
2003,
3611,
1712,
1450,
1458,
5010,
1384,
1895,
16966,
1697,
15948,
1385,
15658,
1457,
1358,
15132,
1952,
44261,
1441,
15554,
1556,
72,
11152,
1476,
1523,
15554,
1556,
59342,
1379,
3884,
1348,
2369,
1385,
15931,
1851,
1476,
2286,
1441,
2303,
72,
26657,
3389,
2197,
40023,
72,
1507,
13725,
1523,
47305,
1377,
1932,
7903,
1432,
1358,
13956,
72,
1826,
23197,
1717,
4057,
2350,
1904,
1718,
1697,
6380,
1367,
1467,
1796,
1476,
10559,
3375,
1696,
1523,
4780,
59209,
72,
1826,
31104,
38094,
1432,
1358,
2354,
1457,
3441,
39729,
1727,
2336,
13428,
1707,
1379,
1348,
2636,
7365,
3597,
1910,
2003,
1843,
37250,
26792,
2533,
72,
2972,
59399,
59384,
59373,
59400,
1523,
1348,
6822,
1525,
1458,
2980,
5682,
1457,
35453,
13169,
1379,
4186,
1523,
2319,
26707,
1384,
1694,
6013,
72,
26657,
3389,
2197,
40023,
2517,
1882,
1358,
1715,
1893,
1606,
11758,
72,
1496,
2219,
5010,
1457,
5729,
1457,
1571,
1441,
15554,
1556,
1571,
1441,
49111,
2620,
1544,
7250,
15735,
1390,
2168,
59342,
1496,
1360,
27336,
6986,
72,
1874,
1571,
24089,
11771,
59342,
1696,
1887,
59361,
59328,
1919,
2369,
1385,
2144,
2054,
17184,
1707,
73,
4612,
19497,
73,
59354,
58128,
2003,
44961,
1348,
13940,
1789,
1379,
1358,
10461,
18571,
1534,
2596,
1358,
1715,
1893,
1606,
1523,
1432,
72,
1826,
1523,
1573,
1348,
27102,
17674,
59342,
1696,
1476,
4155,
4623,
2100,
8135,
1643,
1769,
2055,
1939,
3424,
1379,
3679,
63,
12405,
59343,
1409,
72,
1496,
5857,
2620,
2271,
5488,
59342,
1496,
40916,
1457,
4079,
59361,
59323,
6276,
1385,
1536,
2834,
1882,
1449,
2650,
2024,
1449,
2127,
72,
1826,
59361,
59328,
1573,
5156,
1457,
27928,
3686,
1649,
23901,
2042,
6208,
1348,
15132,
1384,
2563,
5477,
1379,
2024,
1476,
59361,
59328,
1972,
1384,
1980,
1476,
59361,
59328,
12933,
1384,
1733,
1432,
72,
59354,
3330,
4603,
2002,
72,
2522,
11512,
1371,
1377,
1358,
5433,
59342,
26657,
3389,
2003,
1358,
9324,
1457,
1467,
1789,
1379,
1358,
13168,
1421,
3897,
1348,
1715,
5077,
59342,
1544,
59361,
59332,
12446,
2202,
9930,
1450,
1645,
13369,
3952,
1385,
4712,
72,
2063,
11883,
2362,
8742,
2132,
1544,
1523,
72,
2063,
11883,
3019,
1348,
4781,
14899,
2042,
2132,
1358,
16332,
15132,
50636,
72,
2063,
59361,
59332,
2192,
16427,
1859,
6092,
59342,
1697,
2459,
51487,
46883,
1617,
14384,
3556,
1421,
1348,
27212,
59342,
1696,
1544,
2286,
9502,
1348,
34763,
8472,
2473,
10007,
1457,
1789,
1379,
1358,
5433,
59361,
59328,
9175,
1358,
16332,
15132,
1952,
5040,
72,
3330,
7366,
6595,
4918,
1434,
1865,
14329,
63,
3907,
3411,
1384,
1712,
2374,
46815,
59342,
1384,
4586,
1828,
6603,
1348,
54598,
44713,
1421,
1348,
2288,
2369,
2493,
1476,
6453,
10007,
1766,
14280,
2750,
29534,
1457,
1828,
20597,
72,
1826,
1523,
1377,
1536,
2957,
1457,
59342,
25362,
2128,
23994,
6593,
42003,
1348,
5148,
7546,
59342,
1828,
5248,
54036,
1434,
6138,
1348,
3510,
13329,
16580,
72,
2063,
1523,
1919,
1753,
1910,
1348,
8614,
9499,
4462,
72,
2063,
1433,
2406,
1510,
2054,
1377,
18467,
1362,
2731,
59342,
20902,
1859,
23535,
1385,
6273,
4696,
1421,
1766,
46439,
72,
26657,
3389,
47376,
1384,
10342,
1712,
1348,
12738,
72,
2063,
36216,
1476,
72,
59399,
59373,
59344,
59400,
1826,
1584,
4021,
1367,
1432,
26426,
1432,
1358,
5813,
72,
1507,
16580,
2563,
1348,
1477,
3142,
1371,
6380,
1384,
7366,
1845,
59338,
12479,
32564,
4462,
72,
1496,
59355,
59361,
59332,
1580,
1843,
23764,
1385,
1675,
1457,
2620,
2264,
58128,
72,
1496,
4453,
1523,
1348,
1544,
63,
45234,
2620,
2264,
26657,
3389,
72,
1496,
59355,
11947,
59361,
59323,
1580,
6665,
1476,
1432,
1348,
2271,
63,
45234,
1450,
16878,
59328,
72,
59354,
3330,
5530,
1432,
1384,
1432,
72,
3141,
5567,
63,
9655,
1966,
26657,
3389,
2303,
1895,
53676,
72,
3330,
1727,
2637,
1562,
1402,
1384,
2025,
9311,
49315,
1952,
2144,
2054,
2364,
2065,
11315,
59342,
1696,
1544,
12179,
1859,
36168,
72,
1420,
3515,
3661,
1887,
1727,
27780,
3417,
59342,
1384,
1467,
1828,
23424,
1384,
41655,
2054,
1544,
13975,
3159,
11108,
1434,
1432,
2364,
2065,
8243,
9325,
1385,
1441,
2303,
1377,
1358,
8243,
38592,
72,
58128,
48658,
1450,
11001,
3103,
72,
4139,
1828,
3428,
1358,
1376,
7552,
13894,
1828,
4759,
3300,
1385,
1358,
3428,
1385,
6352,
1348,
28595,
20597,
5667,
1377,
1766,
2369,
72,
2738,
25146,
26657,
3389,
15496,
3554,
72,
3141,
1358,
2461,
12174,
58128,
15571,
1510,
1859,
11672,
72,
3308,
59361,
59332,
9680,
5349,
72,
3330,
9680,
1384,
12369,
72,
1420,
8614,
20394,
2237,
59342,
26657,
3389,
54722,
9312,
1859,
5470,
72,
3330,
15496,
72,
4720,
1348,
6068,
1544,
10550,
1385,
2197,
1347,
12047,
1440,
21779,
72,
1496,
59353,
46950,
31289,
2620,
1544,
2264,
1366,
1687,
1434,
72,
1496,
4221,
28589,
3375,
1384,
1554,
2399,
72,
3163,
1417,
2629,
1476,
59361,
59328,
1358,
3233,
12446,
16332,
15132,
1457,
40076,
54929,
1385,
4976,
3797,
1525,
2067,
2054,
72,
2442,
1476,
1727,
1348,
24570,
15132,
2515,
1355,
1450,
25628,
36493,
1476,
59342,
1554,
11947,
59361,
59323,
1441,
10871,
1835,
1476,
72,
59354,
11190,
3130,
8091,
59320,
59381,
59320,
59370,
59345,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
58128,
1369,
19491,
59342,
26802,
1450,
17835,
72,
1496,
59355,
59361,
1412,
4455,
1379,
3375,
1417,
2235,
1385,
3079,
2620,
2264,
26657,
3389,
72,
1496,
59355,
2147,
1580,
6665,
1476,
15656,
1882,
1417,
1933,
2192,
16427,
1863,
6092,
72,
59354,
2063,
1396,
1586,
12846,
1859,
7339,
1385,
1358,
9297,
2132,
1828,
59361,
59332,
15571,
1358,
1933,
1477,
4696,
1379,
1457,
1726,
56092,
1371,
1396,
1524,
55380,
63,
59392,
39540,
63,
5643,
1431,
46219,
1697,
2003,
21760,
29144,
1766,
40530,
59327,
7933,
72,
58128,
3638,
37896,
23516,
59342,
1496,
5866,
18424,
73,
59354,
2063,
21794,
7901,
72,
2063,
3596,
1358,
1955,
9910,
20810,
6092,
7270,
1707,
1379,
1859,
21729,
72,
2063,
5530,
2362,
45843,
23516,
1385,
1358,
9297,
2132,
1358,
28589,
5334,
48159,
72,
10017,
1371,
2119,
59399,
59373,
59345,
59400,
2237,
1525,
1476,
59342,
1544,
30023,
1367,
1745,
2164,
1379,
1358,
10207,
1951,
1476,
72,
2063,
31957,
1476,
2237,
72,
2063,
12861,
1358,
6995,
72,
2063,
7366,
1385,
1745,
3700,
72,
19247,
1544,
4759,
3300,
1358,
7234,
63,
49461,
43369,
72,
2063,
1383,
43999,
1476,
2237,
1384,
19386,
72,
5878,
1544,
31957,
2237,
4681,
2517,
1384,
25813,
1859,
3428,
2587,
1384,
5242,
2308,
1450,
2302,
13166,
1379,
1358,
13141,
20810,
10207,
59342,
15563,
31258,
1358,
13166,
72,
2063,
7366,
5649,
4586,
1753,
72,
2063,
5248,
2237,
59342,
1859,
3992,
8926,
1919,
3440,
1409,
1510,
1645,
72,
1496,
6460,
2471,
2620,
1544,
2264,
1694,
59331,
1898,
2168,
72,
1496,
2153,
1348,
2369,
59342,
1476,
4157,
72,
1507,
10207,
14648,
1467,
1458,
39697,
1384,
30289,
1712,
1753,
1379,
1358,
15132,
1910,
1863,
2587,
72,
3163,
1417,
6665,
1385,
2144,
1348,
14397,
54630,
45904,
72,
4441,
1601,
4976,
2121,
30950,
12159,
59342,
1696,
1573,
1536,
8237,
73,
1826,
7243,
2352,
2128,
59342,
1972,
21804,
2128,
1348,
8157,
16057,
11516,
72,
59354,
2063,
3370,
1358,
10207,
2237,
1377,
1859,
21729,
72,
1496,
32364,
2620,
1544,
2197,
1400,
12846,
72,
1496,
7221,
59361,
59328,
1717,
1432,
2517,
72,
1417,
2003,
1348,
3515,
4195,
1379,
5514,
59342,
1696,
1895,
2192,
5872,
3797,
1910,
1417,
1891,
10126,
59361,
59323,
3596,
1358,
2352,
1414,
33877,
1809,
4681,
72,
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3330,
4603,
2002,
4586,
1753,
72,
2738,
1536,
1817,
1828,
2579,
1573,
5893,
1348,
2779,
1421,
8461,
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17527,
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72,
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15132,
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1510,
1932,
14818,
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1696,
1476,
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2025,
39151,
72,
1826,
4277,
59361,
59323,
36230,
72,
1826,
59361,
59328,
12884,
72,
1826,
59361,
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1753,
1972,
1348,
4199,
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15132,
1910,
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72,
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1476,
72,
3163,
2121,
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1900,
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1826,
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16313,
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1932,
3138,
72,
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2063,
1560,
1528,
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1432,
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72,
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6603,
2995,
72,
30912,
1434,
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1882,
1828,
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1939,
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1379,
1859,
3992,
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2271,
2264,
59342,
1496,
6577,
2264,
1449,
3122,
1980,
1476,
4157,
72,
14180,
1384,
29093,
37307,
59399,
59373,
59349,
59400,
2424,
59361,
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1580,
3809,
1972,
1536,
72,
2655,
2373,
1536,
1580,
2054,
74,
59354,
1496,
4453,
4313,
1981,
6771,
31742,
1432,
1358,
4793,
1379,
5729,
1476,
17307,
72,
4817,
6771,
4277,
59361,
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1717,
1951,
48565,
1508,
8252,
72,
1826,
30838,
1432,
1358,
4793,
2025,
72,
3055,
1882,
1536,
15132,
17307,
1348,
1782,
1476,
23084,
1981,
6771,
1432,
1859,
6103,
72,
4441,
26114,
7802,
31742,
36095,
59342,
1384,
1828,
28722,
1645,
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22500,
36368,
1554,
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1932,
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1348,
2369,
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7514,
1981,
6771,
1432,
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1782,
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6103,
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58128,
59342,
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11612,
1571,
7589,
1707,
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1385,
4906,
1457,
1981,
6771,
8179,
72,
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5,
5,
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3130,
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72,
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72,
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73,
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19589,
2125,
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15735,
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72,
3308,
2003,
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1421,
17605,
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72,
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1952,
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2100,
72,
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1450,
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72,
21952,
3098,
15819,
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58128,
2003,
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1348,
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1377,
26657,
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72,
1826,
2003,
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36723,
2081,
1457,
1544,
2286,
2163,
4186,
59342,
1384,
10636,
1753,
36723,
2081,
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2286,
48903,
4462,
1348,
16580,
72,
14840,
37383,
1727,
1573,
24542,
9052,
1421,
2560,
18249,
1457,
1544,
2286,
6614,
1358,
36367,
59361,
59328,
31049,
1995,
3357,
2065,
25448,
59342,
1696,
2271,
1523,
48092,
1385,
3671,
1733,
72,
2738,
1796,
2271,
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13863,
2995,
1385,
36604,
1450,
1358,
57145,
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28409,
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1362,
1952,
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1348,
2071,
1379,
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1385,
58302,
72,
3055,
2271,
14880,
72,
1646,
1358,
5645,
14978,
26657,
3389,
2264,
59342,
1496,
48336,
3151,
1508,
4488,
10390,
1384,
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31085,
1385,
1441,
1707,
1379,
1358,
5433,
1384,
1432,
3351,
24639,
1554,
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21806,
1520,
1348,
16332,
15132,
72,
7790,
8210,
1887,
2147,
1441,
1458,
35230,
8927,
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1554,
1571,
2163,
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6031,
1379,
10790,
2202,
4186,
72,
59354,
58128,
2264,
29759,
1755,
2168,
59342,
1496,
3747,
59327,
3502,
2350,
18105,
73,
59354,
1496,
48246,
3556,
2620,
1544,
8071,
72,
3330,
5530,
1432,
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72,
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10390,
72,
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72,
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72,
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17527,
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63,
13045,
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12846,
5800,
1450,
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16627,
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72,
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2054,
72,
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11634,
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72,
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31085,
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1441,
1348,
8927,
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16836,
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72,
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6331,
2104,
2620,
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72,
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2193,
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73,
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2100,
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72,
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72,
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73,
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27811,
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72,
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2003,
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2051,
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72,
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1384,
1952,
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72,
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74,
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72,
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58128,
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72,
3308,
5248,
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72,
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38669,
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2003,
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1476,
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37250,
4682,
5248,
72,
3330,
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72,
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72,
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72,
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72,
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72,
72,
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1432,
1358,
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4303,
59342,
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4462,
72,
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72,
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72,
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21806,
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24639,
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2175,
1450,
1457,
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15132,
72,
59354,
1507,
7739,
2003,
1899,
2336,
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12102,
1377,
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72,
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2620,
2264,
58128,
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7077,
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72,
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73,
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74,
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73,
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72,
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2003,
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72,
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72,
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1972,
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2003,
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73,
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2003,
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11190,
3130,
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1995,
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2003,
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1972,
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1986,
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1972,
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1972,
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2002,
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49598,
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1960,
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56492,
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15287,
1525,
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2291,
16640,
1379,
3441,
3813,
2003,
1843,
9253,
72,
58128,
6575,
1348,
3361,
72,
1507,
9393,
15748,
1414,
3418,
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72,
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11354,
72,
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2478,
1377,
1358,
2809,
59361,
59328,
14622,
19356,
1467,
2339,
30824,
1845,
1362,
3352,
7640,
1980,
2636,
15675,
3628,
2286,
1441,
1796,
1358,
57145,
4870,
1865,
1358,
2809,
1385,
8030,
72,
3163,
1358,
9393,
52353,
1457,
1358,
3532,
4025,
1523,
26842,
72,
8114,
14036,
59342,
1544,
29232,
26657,
3389,
59342,
24817,
59361,
59323,
42810,
72,
1874,
1727,
20311,
1384,
1554,
11883,
1457,
2054,
13956,
1952,
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31019,
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63,
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1432,
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74,
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8454,
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74,
1417,
11947,
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3370,
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1748,
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2438,
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1358,
5059,
5688,
1432,
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73,
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2063,
5530,
1707,
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1507,
2718,
1782,
1872,
1523,
1859,
25606,
6603,
2995,
72,
2063,
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25923,
1348,
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33980,
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72,
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2579,
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1980,
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1412,
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1748,
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1379,
1358,
7138,
2620,
2264,
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3389,
72,
1496,
59355,
59361,
1412,
2003,
1348,
7623,
1385,
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16332,
15132,
72,
1417,
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1412,
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9930,
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19710,
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1544,
2264,
59342,
1496,
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59335,
1510,
4638,
9321,
72,
1417,
1523,
9293,
2438,
1520,
1348,
13337,
10284,
10872,
24816,
59399,
59345,
59344,
59381,
59400,
63,
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3022,
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72,
72,
72,
59354,
32523,
1434,
1384,
30611,
7029,
1434,
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1544,
6651,
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3402,
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7926,
1733,
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6532,
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1507,
3616,
6890,
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54630,
45904,
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72,
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4475,
54929,
1384,
1932,
1745,
1896,
3292,
1348,
3250,
63,
59337,
5042,
10427,
72,
1507,
8035,
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4199,
2995,
1707,
1450,
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16332,
15132,
1523,
1385,
1441,
10760,
72,
2972,
1523,
1875,
5799,
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1727,
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57145,
1510,
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59651,
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1715,
10462,
51614,
57888,
72,
1826,
6575,
2995,
1385,
5829,
72,
5884,
2434,
1952,
1441,
8202,
72,
26657,
3389,
49413,
59342,
4195,
1371,
1859,
36600,
72,
1507,
10462,
8108,
2055,
1458,
32397,
1893,
1373,
3556,
2288,
5829,
72,
1826,
5793,
2995,
1385,
1717,
10076,
72,
1507,
9393,
1379,
1358,
15764,
1523,
5254,
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1450,
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8849,
72,
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1520,
21589,
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3554,
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1421,
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15563,
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3389,
12876,
1358,
24710,
38514,
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1358,
5191,
1379,
1358,
1995,
40483,
72,
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18830,
11047,
59328,
72,
1507,
2354,
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1476,
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1843,
58735,
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39506,
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53308,
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11428,
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4623,
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3402,
2213,
1458,
24713,
72,
3163,
3797,
31110,
1959,
1450,
34525,
1643,
1952,
1662,
7239,
2291,
3259,
15775,
1385,
2637,
1466,
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34525,
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1933,
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50637,
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74,
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39849,
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2110,
3114,
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17319,
74,
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1525,
1645,
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74,
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1412,
1843,
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2620,
2264,
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3389,
72,
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3265,
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6264,
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29953,
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1828,
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1531,
2750,
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1807,
11436,
1508,
1807,
47148,
1508,
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1699,
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59335,
8500,
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1828,
59361,
1412,
3596,
11444,
2858,
3798,
1384,
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1362,
1523,
1358,
4562,
1457,
5530,
1707,
1379,
1358,
7138,
1384,
26851,
36094,
6593,
59342,
2295,
34851,
16332,
37307,
1377,
1645,
16809,
72,
6264,
1379,
1358,
15764,
59361,
59328,
16254,
1952,
1580,
2003,
3211,
1561,
1370,
1385,
2144,
28487,
2382,
30383,
72,
3330,
12585,
1348,
9590,
33945,
59329,
1629,
1508,
1939,
72,
2738,
1887,
1523,
1358,
5266,
3824,
1379,
34525,
1643,
13614,
2009,
5862,
1349,
36314,
59342,
3797,
72,
59354,
3330,
5530,
1432,
1510,
1573,
1753,
1910,
39206,
10390,
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72,
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5738,
6380,
2822,
72,
3330,
9712,
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23444,
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1358,
4975,
72,
2972,
1523,
1348,
20215,
59342,
2262,
21003,
1679,
22497,
12448,
1981,
3806,
2132,
6147,
13655,
31261,
1976,
6871,
6208,
1358,
5433,
72,
4720,
1348,
1817,
58128,
2264,
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6577,
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25297,
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27928,
1377,
18230,
1865,
2995,
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45197,
72,
4441,
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6380,
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1417,
1523,
24710,
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25628,
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1508,
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4031,
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2264,
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2662,
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1496,
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59354,
2063,
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72,
3308,
2264,
1694,
38982,
2168,
59342,
1496,
59389,
50689,
1358,
9772,
59342,
1417,
28589,
1457,
44225,
28589,
72,
59354,
2063,
3370,
1859,
2587,
1432,
1358,
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59361,
59328,
2164,
72,
2063,
8563,
1358,
43268,
72,
1496,
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3826,
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24639,
2620,
1544,
2264,
26842,
1434,
72,
1496,
45319,
1432,
1807,
3775,
59342,
8628,
1573,
72,
3163,
1887,
1523,
1348,
3700,
5800,
1348,
3515,
2369,
2237,
72,
59354,
2063,
27243,
1358,
2368,
72,
2063,
59361,
59332,
2192,
16427,
1358,
24246,
15588,
59342,
3265,
72,
2063,
25711,
9930,
1520,
7815,
4891,
72,
30912,
1434,
1544,
4759,
3300,
1358,
13857,
1384,
18741,
1358,
2368,
1835,
72,
2063,
32945,
2237,
1358,
2369,
1544,
2003,
3611,
72,
1420,
17554,
1508,
1733,
59342,
1384,
1887,
1523,
3351,
3538,
63,
28069,
5800,
47016,
2002,
72,
2063,
4870,
1476,
72,
32238,
1458,
7946,
3661,
58128,
2264,
7278,
59342,
1496,
10616,
2751,
73,
59354,
1507,
5800,
1523,
21806,
4586,
1753,
1520,
1458,
43133,
16332,
15132,
59342,
1951,
1697,
1842,
2368,
7521,
1510,
15251,
5470,
3094,
3859,
2533,
1932,
9393,
2286,
5986,
14879,
72,
1496,
4268,
5957,
59361,
59323,
2471,
2620,
1544,
2264,
10235,
1434,
72,
1496,
17130,
1982,
1580,
10342,
1895,
2471,
6400,
1385,
4475,
72,
1874,
1580,
1385,
1717,
5738,
1510,
4663,
59342,
2042,
16236,
20081,
1457,
3005,
4462,
1525,
1358,
5433,
72,
1417,
2424,
59361,
59323,
2127,
1980,
26363,
1828,
1571,
45904,
1531,
1377,
59342,
4719,
72,
59354,
2972,
1523,
1348,
49668,
1349,
1379,
3378,
1377,
1358,
18086,
72,
26657,
3389,
1616,
21684,
1367,
1859,
3005,
2914,
72,
1826,
2295,
16427,
2517,
72,
57419,
72,
1507,
18086,
1523,
9491,
1371,
1712,
72,
1496,
4453,
59361,
59328,
4718,
15675,
2620,
1544,
2264,
1377,
1348,
1740,
2662,
10462,
72,
1496,
59355,
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1412,
1843,
5254,
2291,
3659,
1457,
31085,
1385,
2607,
1531,
4462,
1525,
1358,
5433,
59342,
1696,
1417,
59361,
1412,
2003,
1385,
1896,
1358,
11923,
1421,
5888,
72,
1417,
5175,
59361,
59323,
2629,
1457,
22786,
1952,
3386,
1531,
1525,
4718,
4462,
1525,
2438,
72,
1417,
1523,
5738,
18249,
72,
3163,
2024,
1601,
1417,
1675,
2750,
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74,
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1432,
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9910,
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29020,
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72,
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3389,
7640,
1348,
1368,
5362,
32957,
1377,
1358,
18086,
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1584,
1673,
1889,
1859,
14821,
72,
2063,
9680,
4462,
1525,
1476,
1510,
1358,
1933,
6600,
72,
1507,
32957,
2286,
1441,
4638,
9321,
51797,
59345,
59345,
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59400,
1384,
1544,
2286,
1580,
1843,
13789,
2237,
10007,
1476,
1520,
1358,
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1798,
1379,
1358,
24639,
1544,
59361,
59332,
6603,
2750,
15588,
72,
12239,
1613,
58128,
30058,
2995,
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24639,
72,
11152,
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5735,
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49709,
5738,
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4976,
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1817,
72,
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1358,
2368,
2579,
4976,
59342,
1544,
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1371,
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1432,
1859,
6103,
72,
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1516,
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72,
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72,
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1358,
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72,
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5,
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72,
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9680,
72,
12239,
1613,
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4623,
2002,
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24817,
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72,
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2163,
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1952,
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6733,
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1933,
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10914,
63,
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43456,
72,
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3378,
13513,
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1882,
47540,
57208,
1367,
1432,
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10914,
72,
1646,
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5266,
10193,
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3126,
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1932,
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72,
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16560,
4114,
72,
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2027,
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3330,
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1358,
18717,
1508,
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24639,
2128,
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20244,
3126,
59342,
1696,
1887,
2003,
1843,
7098,
7125,
2272,
2132,
1828,
9680,
2002,
1951,
1358,
35008,
72,
1496,
4221,
59361,
1699,
5829,
2620,
2264,
26657,
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2106,
1606,
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59342,
1496,
2016,
2198,
1796,
1554,
1502,
1377,
1348,
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9297,
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1358,
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72,
2442,
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2442,
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5514,
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2560,
5228,
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1348,
19312,
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72,
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9083,
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72,
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16427,
72,
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72,
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2127,
2620,
2264,
58128,
26705,
5909,
59342,
1496,
13383,
1449,
14880,
1358,
1995,
40483,
59651,
2445,
57145,
59651,
35210,
2104,
10125,
2054,
72,
59354,
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2219,
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1358,
2164,
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1807,
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8598,
2055,
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2024,
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1998,
72,
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1611,
1872,
13039,
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1952,
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1828,
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72,
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2738,
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4355,
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2223,
2369,
1520,
1358,
8525,
1457,
11444,
1727,
31110,
1959,
6819,
1450,
1358,
1995,
10806,
57145,
72,
1826,
1523,
1694,
30062,
1597,
1457,
27928,
2286,
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1355,
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3441,
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72,
2063,
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72,
1826,
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1441,
2759,
73,
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2972,
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4264,
72,
58128,
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5558,
5901,
72,
3308,
38680,
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1385,
2087,
1980,
2271,
10492,
72,
1507,
8157,
2264,
59342,
1496,
35749,
5418,
25768,
1347,
73,
11330,
5418,
25768,
1347,
73,
1507,
32218,
7443,
29590,
1359,
1457,
1421,
1358,
1933,
1817,
1887,
1649,
1843,
37592,
4545,
3328,
1377,
15554,
1959,
1358,
16332,
15132,
2086,
1520,
1358,
3597,
1995,
40483,
1510,
1469,
50698,
9386,
73,
23223,
2914,
1358,
14866,
59342,
7066,
1379,
10534,
1384,
3295,
13956,
1580,
5008,
1348,
2515,
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2024,
1410,
1458,
14301,
1715,
2487,
1379,
10990,
12159,
1697,
15090,
2291,
1745,
1379,
1358,
16668,
3809,
1379,
1358,
36367,
16332,
15132,
73,
1826,
1410,
3250,
63,
9634,
59342,
1733,
4258,
59342,
1384,
1649,
1573,
5908,
4545,
39648,
2757,
1377,
7663,
7934,
72,
39677,
1465,
1580,
15464,
7874,
1385,
1476,
59342,
4944,
59342,
1384,
2650,
1457,
1476,
15090,
1358,
3822,
1641,
8619,
1520,
3960,
1379,
1358,
8849,
17041,
1350,
2914,
1469,
50698,
9386,
72,
1420,
16622,
2513,
1421,
1358,
2956,
1379,
1358,
2515,
1355,
1410,
3943,
1877,
2369,
72,
3141,
1358,
2461,
1817,
1348,
16622,
2513,
1385,
2083,
1348,
7802,
1385,
1476,
1410,
3943,
8926,
15354,
2624,
72,
1507,
15399,
1502,
14301,
18249,
1457,
1348,
4545,
14480,
3292,
1358,
1919,
6089,
35057,
25448,
1601,
1441,
2303,
72,
2972,
1410,
1919,
6089,
1842,
4702,
1385,
13226,
1457,
11354,
1601,
1441,
13899,
1385,
20617,
6288,
3292,
1358,
1995,
40483,
2336,
2671,
1432,
11354,
59342,
1508,
1842,
50914,
1944,
1828,
1982,
5986,
73,
59354,
1709,
59345,
59349,
59367,
59400,
1507,
1715,
1893,
1606,
15496,
1384,
1348,
7394,
3638,
1358,
6674,
1379,
38694,
1385,
1358,
17199,
2037,
1379,
1458,
6133,
63,
1541,
38998,
19925,
72,
58128,
23740,
26657,
3389,
59361,
59328,
5558,
72,
2063,
2579,
1573,
9728,
72,
5,
5,
4254,
3130,
8091,
59320,
59384,
5,
5,
59367,
59373,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
1507,
13725,
1608,
40856,
72,
3867,
1536,
3304,
1384,
4505,
5514,
1379,
1348,
14480,
3292,
1358,
22836,
25448,
59342,
2264,
1358,
29590,
1349,
59342,
1476,
12102,
2980,
1573,
1385,
12270,
1358,
36367,
10370,
1796,
1476,
2286,
1441,
18860,
1421,
2367,
72,
1507,
1896,
1379,
19557,
55408,
1523,
59342,
7671,
59342,
2517,
51983,
1367,
72,
3163,
1828,
1952,
1441,
2086,
1796,
5834,
72,
29794,
59342,
3292,
2213,
1458,
11772,
59342,
1358,
4660,
1379,
37250,
4682,
1952,
1441,
52783,
72,
11038,
1952,
1441,
9253,
1525,
5112,
21929,
1733,
1796,
55408,
1727,
2086,
1887,
1952,
1441,
1919,
11444,
3679,
1385,
1441,
9760,
1367,
72,
14891,
7394,
72,
26657,
3389,
9680,
2002,
1358,
8157,
72,
1496,
5856,
1675,
1449,
2629,
74,
59354,
6575,
58128,
72,
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8550,
1828,
32390,
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2563,
1457,
13725,
2620,
2264,
26657,
3389,
72,
1496,
6168,
1887,
1727,
2025,
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1384,
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3122,
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4720,
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2264,
44130,
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1496,
10520,
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1817,
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2352,
2055,
1358,
2652,
3510,
7092,
59342,
1882,
1554,
2003,
1358,
21760,
1384,
29732,
3686,
2579,
72,
2972,
11381,
59361,
59323,
1441,
1348,
10235,
7092,
2110,
73,
2972,
1727,
2243,
1882,
1554,
2286,
12270,
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1384,
1828,
11381,
59361,
59323,
1580,
28998,
2237,
72,
6183,
25628,
3686,
1410,
1377,
1457,
4310,
72,
3330,
1571,
12270,
1531,
1384,
1554,
1571,
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1675,
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4562,
72,
1826,
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1699,
1441,
1457,
2369,
1421,
1348,
3129,
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1508,
8628,
1939,
59342,
1508,
2478,
2566,
72,
1826,
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1699,
1441,
20247,
1796,
1828,
2424,
59361,
59323,
2661,
9324,
1379,
1766,
6600,
72,
59354,
58128,
6665,
1385,
10953,
1358,
4186,
26657,
3389,
2003,
20309,
1707,
72,
3308,
11381,
59361,
59323,
72,
3308,
6651,
1385,
19325,
55517,
72,
26657,
3389,
4759,
1512,
1510,
9930,
1421,
17909,
2100,
1358,
17111,
59342,
1697,
1476,
59399,
59345,
59349,
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59400,
1523,
3410,
1859,
55263,
1385,
2198,
72,
2063,
2264,
16454,
3080,
59342,
1496,
59389,
1849,
1476,
73,
4441,
59361,
59328,
1358,
17111,
1457,
2286,
5276,
72,
3163,
1476,
59361,
59328,
1573,
1358,
2121,
5156,
73,
59354,
3308,
6665,
1385,
2873,
2100,
33551,
72,
1496,
4221,
59361,
1352,
1377,
1348,
3887,
59342,
11045,
73,
59354,
1544,
2264,
2637,
1466,
3080,
72,
1496,
4453,
2373,
2193,
1972,
1887,
1982,
1441,
1348,
2295,
1827,
1379,
1875,
3597,
10370,
4529,
1798,
3019,
3424,
72,
3163,
1358,
57145,
2424,
59361,
59323,
2235,
1385,
15327,
2104,
72,
3330,
2235,
1348,
2809,
1450,
2104,
3429,
1421,
2054,
59342,
1573,
8603,
72,
3330,
59361,
1412,
14284,
1476,
72,
3330,
59361,
1699,
6352,
4240,
1405,
1470,
72,
3330,
4079,
59361,
59323,
3114,
1358,
11444,
1872,
59361,
1352,
1766,
42322,
12270,
1358,
2104,
1828,
2235,
20495,
1384,
5310,
72,
59354,
58128,
1584,
1673,
1889,
2100,
1368,
2308,
72,
1496,
5857,
1476,
1952,
1441,
3162,
1385,
1441,
8603,
1910,
1972,
1457,
73,
59354,
1496,
5857,
5829,
73,
59354,
24291,
1367,
26657,
3389,
72,
1496,
4221,
59361,
1412,
15554,
1556,
1358,
16332,
15132,
72,
4498,
1449,
2629,
1828,
59361,
1699,
6804,
1476,
1510,
1457,
74,
1507,
3797,
1872,
2127,
1980,
1385,
1675,
1476,
1601,
1441,
37279,
1385,
1348,
28977,
1508,
1348,
8614,
6400,
59342,
1733,
1828,
1571,
59361,
59323,
11575,
1645,
1441,
2303,
59342,
1384,
1828,
59361,
1699,
3386,
1432,
6081,
1434,
3429,
3639,
1828,
59361,
1412,
2563,
1358,
37307,
1384,
1348,
8921,
3292,
2054,
1384,
2110,
3375,
1753,
37788,
2911,
73,
1874,
11444,
1571,
59361,
59323,
1441,
1463,
1462,
4623,
73,
1874,
59361,
1699,
8598,
1385,
1358,
2164,
1379,
1817,
73,
59354,
1496,
5857,
1449,
6907,
2620,
2264,
58128,
29446,
3027,
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1496,
11612,
2264,
1887,
11381,
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59323,
1441,
1348,
14480,
3292,
1358,
15132,
73,
2292,
2264,
1476,
73,
59354,
1496,
59355,
1523,
44618,
5269,
2620,
1544,
24291,
1367,
72,
1496,
59355,
9471,
59361,
59323,
8232,
8472,
72,
18231,
73,
3867,
1919,
7470,
1510,
1645,
59342,
1417,
2303,
1707,
1980,
1385,
8738,
1358,
8237,
2533,
1476,
1523,
4201,
4708,
1385,
2245,
22444,
3846,
1531,
72,
2292,
2127,
1457,
72,
1507,
13956,
1601,
1580,
7470,
1384,
17921,
59342,
1384,
2336,
1457,
1828,
59361,
1412,
3596,
1358,
15132,
1828,
59361,
1699,
1441,
3374,
1385,
3079,
3628,
72,
3330,
59361,
1699,
1675,
3162,
1910,
1417,
2579,
72,
3330,
1571,
3079,
11051,
2329,
1966,
1358,
15132,
72,
3330,
1571,
3079,
1421,
22429,
3809,
72,
3330,
1982,
2163,
3375,
1385,
8087,
1476,
59342,
1508,
1828,
1571,
3079,
14637,
2520,
72,
42085,
59345,
59349,
59387,
59400,
2063,
20086,
3442,
37896,
23516,
72,
3308,
1733,
4057,
1367,
59342,
4586,
72,
1496,
5857,
1875,
21059,
59651,
59354,
1496,
10520,
1982,
1573,
1441,
1842,
72,
2738,
1887,
59361,
59328,
5486,
1385,
1441,
1895,
15775,
1379,
14637,
2520,
1457,
59361,
1699,
2111,
72,
1826,
1393,
2233,
1707,
1510,
1358,
14818,
2336,
72,
4441,
59361,
59328,
1980,
1554,
1748,
14879,
1379,
1476,
72,
1826,
59361,
59328,
14637,
28191,
1520,
20618,
1377,
1358,
3827,
72,
4441,
59361,
59328,
3882,
1476,
5957,
59361,
59323,
1348,
7089,
12884,
15132,
72,
1417,
2072,
1377,
1358,
3827,
1908,
1972,
26541,
1379,
10329,
59375,
1828,
14637,
1518,
51487,
1384,
2144,
10914,
59340,
2681,
2055,
10914,
72,
2738,
1554,
3596,
11190,
3130,
8091,
59320,
59384,
59320,
59381,
59344,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
1358,
28589,
63,
21906,
1933,
72,
4441,
34266,
1887,
59361,
59328,
14637,
2520,
72,
59354,
2063,
23740,
2100,
5558,
72,
3308,
4759,
29850,
72,
3067,
1544,
59361,
59332,
2264,
1523,
13957,
2750,
7912,
72,
36190,
59342,
1476,
9471,
59361,
59323,
2478,
2352,
72,
1507,
5799,
1733,
4258,
1523,
1457,
1358,
36368,
1379,
28589,
1727,
1753,
11412,
1910,
1358,
39061,
36368,
1508,
1358,
32606,
6915,
59342,
2596,
36368,
1385,
37611,
1379,
8568,
1727,
3249,
11412,
2911,
72,
3163,
26657,
3389,
9471,
59361,
59323,
14202,
1450,
9682,
2042,
2336,
72,
2063,
6664,
1385,
36723,
1539,
58128,
72,
5878,
1859,
9446,
8727,
9312,
25146,
1384,
1544,
1433,
2406,
4109,
2100,
72,
2063,
59361,
59332,
1843,
16033,
26620,
1783,
1434,
1707,
1379,
23261,
59342,
2596,
1348,
1789,
1379,
1859,
5365,
23901,
21022,
1384,
48658,
72,
2738,
1457,
55185,
1789,
1379,
1859,
5365,
2003,
9712,
2995,
3255,
3375,
7179,
35281,
72,
2063,
23901,
7824,
63,
54177,
1421,
9298,
59342,
1433,
3817,
13426,
1434,
72,
5878,
1544,
2264,
2362,
55517,
59342,
1496,
6577,
2563,
1664,
2629,
59342,
2110,
72,
1417,
2424,
59361,
59323,
2127,
3882,
1417,
5175,
59361,
59323,
59342,
2533,
72,
1507,
16332,
15132,
2373,
15250,
1348,
3515,
59342,
1972,
1348,
4199,
4891,
15132,
1377,
13141,
10329,
72,
1826,
59361,
59328,
37279,
1520,
20618,
59342,
1972,
3378,
1520,
10329,
63,
38856,
54778,
72,
4441,
59361,
59328,
2352,
73,
59354,
2063,
15496,
59342,
8232,
10076,
72,
58128,
2264,
13965,
1434,
59342,
1496,
10572,
1432,
73,
59354,
19247,
2024,
1544,
59361,
59332,
2264,
2003,
3515,
7912,
1385,
2100,
59342,
1696,
2271,
2286,
2198,
1457,
1544,
14880,
1476,
2980,
72,
1496,
21999,
59342,
1348,
4199,
4891,
15132,
1410,
15496,
1520,
1348,
9491,
59342,
1697,
1410,
2302,
10329,
63,
38856,
54778,
1377,
1745,
2885,
72,
1826,
59361,
59328,
37279,
3639,
1476,
5809,
4277,
59361,
59323,
29255,
6983,
73,
59354,
26657,
3389,
25146,
15948,
1879,
1623,
1516,
1510,
1859,
2701,
8035,
1385,
59399,
59345,
59349,
59384,
59400,
2198,
3375,
1457,
2003,
1843,
1733,
9638,
1645,
3588,
72,
1496,
6168,
1554,
2286,
2144,
1348,
9491,
1379,
20618,
59342,
1476,
2147,
4976,
1358,
16332,
15132,
1467,
34093,
4976,
3378,
73,
1874,
2286,
59651,
59354,
19247,
1544,
15496,
3554,
59342,
1384,
58128,
59361,
59328,
3992,
6847,
72,
3308,
11160,
18249,
2517,
72,
3308,
2478,
11160,
12686,
1467,
2271,
23740,
26657,
3389,
39654,
1450,
1859,
2905,
59342,
59165,
1434,
6273,
5613,
1859,
27737,
72,
1496,
59408,
2160,
1384,
1417,
2620,
1544,
2264,
1616,
21684,
2168,
59342,
1496,
35210,
10990,
3857,
63,
3469,
59259,
17921,
72,
6264,
1379,
1766,
5860,
2003,
1385,
1441,
23466,
1377,
11298,
2493,
9541,
1828,
10303,
2202,
1358,
3827,
1384,
53101,
2530,
1972,
1348,
3554,
72,
2442,
1417,
2003,
1457,
11344,
2336,
59651,
6460,
72,
1417,
59361,
59332,
1580,
1385,
2661,
1358,
11298,
4462,
1384,
1476,
11381,
59361,
59323,
1441,
3952,
2750,
2192,
32891,
3628,
72,
59354,
1496,
5856,
1952,
5276,
2620,
6575,
58128,
59342,
1496,
1436,
1449,
2563,
2024,
1449,
59361,
1352,
8232,
1835,
74,
59354,
1496,
59355,
3427,
2620,
2264,
26657,
3389,
72,
1496,
59355,
2042,
11575,
3427,
2144,
1348,
35002,
1686,
1457,
1952,
3145,
1348,
9491,
1379,
20618,
2914,
1358,
2787,
1872,
8937,
1476,
72,
2738,
1476,
3427,
8087,
1895,
1379,
1358,
16332,
15132,
1384,
14637,
1518,
1358,
3547,
1733,
9028,
3596,
2128,
1385,
1358,
1782,
73,
59354,
58128,
2264,
23514,
59342,
1496,
33972,
22708,
1554,
1717,
1951,
1348,
29779,
1367,
5688,
1384,
39685,
1358,
3628,
1449,
1929,
72,
72,
72,
72,
59354,
26657,
3389,
51614,
1377,
1348,
1973,
6833,
10462,
59342,
1496,
6460,
63,
59326,
63,
59326,
63,
59326,
72,
3067,
1417,
1929,
59342,
1417,
2629,
59342,
1410,
1348,
18027,
2197,
1862,
1384,
1358,
21729,
8157,
72,
2738,
1887,
2147,
1441,
1348,
18027,
2197,
1862,
1377,
1358,
4114,
72,
59354,
2063,
48658,
1510,
1358,
39670,
8487,
13471,
59342,
1384,
2110,
5530,
1707,
72,
30912,
1434,
1544,
1523,
2237,
72,
2063,
2003,
1573,
2025,
1348,
18027,
2197,
1862,
1696,
1751,
1348,
8172,
41672,
2197,
1862,
72,
9627,
1727,
2563,
1379,
13141,
14411,
8252,
1377,
1697,
2302,
17144,
20871,
2003,
1843,
1369,
10018,
59342,
1733,
1457,
19529,
16760,
1379,
28035,
8252,
23901,
1707,
1385,
2144,
1358,
2197,
1959,
4793,
72,
26657,
3389,
11883,
1457,
19529,
4148,
59342,
1882,
13153,
2780,
31866,
59342,
2144,
17144,
46119,
1379,
10303,
2202,
3827,
1697,
1601,
1983,
1803,
1348,
46208,
40368,
72,
5792,
1887,
1727,
10712,
1379,
2213,
4148,
72,
59399,
59345,
59349,
59373,
59400,
2063,
1899,
1385,
1758,
1432,
1358,
2368,
11372,
59342,
25362,
1358,
1369,
24070,
1450,
1932,
2566,
10421,
8611,
9535,
1707,
1379,
1358,
2369,
72,
1507,
1369,
24070,
1523,
10668,
1421,
58128,
1377,
2844,
1379,
30115,
1424,
1578,
4413,
59342,
1882,
1476,
1952,
1441,
1379,
3515,
1508,
1919,
10353,
2345,
72,
5,
5,
4254,
3130,
8091,
59320,
59384,
5,
5,
59381,
59345,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2063,
14644,
1432,
1358,
17144,
8157,
1450,
1859,
21729,
63,
26562,
2304,
1385,
5944,
1348,
11496,
1697,
2147,
17798,
1446,
1882,
1358,
12508,
1523,
9680,
1432,
72,
2972,
1523,
13503,
59342,
1385,
11930,
1358,
11813,
1510,
1358,
30338,
1384,
1560,
2190,
59328,
1379,
1358,
46944,
72,
1420,
1971,
7275,
33301,
1467,
1348,
22506,
1385,
2144,
1358,
46944,
12861,
2154,
4797,
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2530,
1379,
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2068,
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1358,
1377,
3071,
22361,
19529,
4148,
1379,
1358,
2197,
10719,
72,
2738,
1887,
1523,
1458,
2218,
1544,
2579,
1573,
38611,
72,
1507,
10303,
63,
21964,
4148,
1727,
1379,
2204,
11530,
2223,
23056,
1384,
8186,
59342,
1733,
1358,
12159,
30138,
52469,
29333,
1358,
10303,
34093,
1523,
1379,
2204,
11530,
18647,
8546,
23056,
72,
1507,
23372,
1379,
2067,
1358,
1939,
2197,
10719,
1523,
59342,
1379,
3884,
59342,
1457,
5500,
57644,
7236,
30338,
1379,
3854,
10517,
9752,
7874,
1377,
20849,
63,
21305,
18929,
12011,
1421,
1348,
18508,
6254,
1525,
1358,
5810,
72,
3163,
26657,
3389,
2579,
1573,
3343,
1457,
72,
1826,
11222,
2493,
1379,
1358,
6190,
1544,
2003,
1385,
1896,
1377,
16025,
59334,
1379,
3375,
3162,
72,
4139,
1476,
1523,
8491,
1544,
5793,
58128,
59342,
1496,
59355,
1571,
2025,
3193,
10303,
4364,
2438,
72,
2442,
1476,
4157,
59342,
1476,
31085,
1385,
2144,
1348,
33239,
63,
3907,
1489,
49668,
1349,
1882,
3679,
1358,
4148,
72,
2442,
1476,
2373,
1457,
59342,
1417,
59361,
1699,
1717,
1712,
1358,
5800,
1385,
2132,
1358,
24816,
63,
1586,
3022,
15496,
72,
1417,
59361,
1412,
1348,
6232,
2471,
5010,
1457,
1358,
5800,
59361,
59328,
21806,
1520,
1348,
16332,
15132,
1887,
72,
59354,
24844,
58524,
59342,
1544,
36216,
1358,
8577,
72,
2738,
27193,
1887,
1523,
1348,
1488,
15539,
59342,
45439,
6612,
38210,
72,
1507,
1369,
24070,
1432,
1358,
2368,
11372,
14117,
59341,
6288,
1385,
16760,
59342,
2192,
32891,
1358,
9261,
53252,
1384,
13237,
15411,
1358,
52453,
2617,
72,
1507,
2566,
10309,
41657,
1377,
1932,
24717,
2003,
2930,
9773,
16709,
72,
26657,
3389,
50013,
1348,
14296,
44679,
72,
2063,
23901,
13852,
1442,
1769,
51797,
59345,
59362,
59344,
59400,
6436,
1421,
5729,
72,
26930,
2134,
20688,
37039,
1367,
2128,
1358,
39670,
72,
26187,
3686,
11222,
72,
4720,
2288,
59342,
1346,
2069,
16102,
59342,
26657,
3389,
2264,
18533,
59342,
1496,
13184,
2286,
1441,
3351,
25448,
1358,
57145,
1580,
9680,
1432,
72,
1826,
59361,
59328,
1843,
48887,
72,
3330,
2286,
1441,
2067,
1348,
13725,
1508,
1348,
15132,
1554,
10126,
59361,
59323,
23865,
1385,
1726,
2641,
1358,
26272,
1379,
1358,
17041,
1350,
72,
3330,
2286,
1580,
1348,
2032,
1350,
2073,
15132,
1457,
7060,
2002,
21677,
2802,
1510,
1348,
6254,
72,
1826,
59361,
59328,
3259,
72,
2738,
1796,
1457,
59361,
59328,
2024,
1828,
59361,
1352,
16769,
1432,
1828,
2025,
1580,
1385,
32166,
1358,
18086,
1384,
1358,
31695,
2512,
1474,
22860,
1601,
1441,
48998,
1367,
1707,
72,
59354,
3163,
1887,
1727,
1919,
11771,
1875,
1910,
1358,
18533,
24568,
7236,
4159,
59336,
1379,
3126,
1525,
1358,
39670,
12130,
59342,
1384,
1358,
4114,
1401,
5398,
59342,
1384,
1358,
3155,
11464,
1377,
1358,
39670,
15631,
72,
1496,
16131,
8210,
1828,
59361,
1412,
19404,
2266,
1807,
2025,
25448,
2620,
2264,
26657,
3389,
10235,
1434,
72,
1496,
4453,
1952,
1441,
1348,
2032,
1350,
1409,
15132,
6800,
2002,
1358,
10309,
41657,
72,
4441,
1952,
1441,
1348,
4795,
8921,
3292,
22261,
55408,
59342,
1796,
1358,
7957,
48585,
1457,
4313,
2054,
1717,
2002,
2286,
1441,
26787,
1525,
1348,
6254,
72,
9525,
1430,
2104,
59342,
2009,
57145,
73,
59354,
5878,
1544,
2264,
54036,
1434,
59342,
1496,
54378,
1432,
73,
1826,
59361,
59328,
6919,
3651,
1753,
5834,
1421,
1531,
1385,
1748,
1385,
2132,
25628,
1571,
2144,
1896,
1379,
1807,
2434,
73,
59354,
1496,
10572,
2132,
74,
59354,
6575,
58128,
59342,
1570,
4355,
4586,
1753,
72,
1496,
4221,
2661,
1385,
1358,
40425,
3639,
7978,
2620,
2264,
26657,
3389,
59342,
1496,
1483,
52058,
1417,
59361,
1699,
3193,
1536,
53233,
15354,
35002,
1686,
59651,
4297,
1476,
5936,
6232,
13297,
1844,
1796,
1358,
57145,
1580,
1348,
2032,
1350,
1959,
15132,
59651,
35567,
1389,
1358,
5800,
25325,
15132,
1712,
1427,
20112,
72,
21997,
1432,
73,
59354,
2063,
56299,
1859,
36168,
1450,
4186,
72,
2063,
6453,
1358,
2369,
72,
1507,
7872,
2003,
2336,
15247,
72,
1507,
7739,
1523,
13626,
59342,
4427,
1510,
1358,
18298,
35948,
72,
1496,
40014,
1432,
1358,
16645,
73,
59354,
5167,
1367,
26657,
3389,
72,
2972,
1523,
1919,
2412,
1377,
11231,
3211,
30383,
59342,
4719,
1887,
1523,
1919,
4702,
1385,
5842,
1358,
38210,
1432,
1358,
2368,
11372,
2003,
1843,
9712,
72,
26657,
3389,
59342,
14671,
59342,
5501,
1457,
1796,
1358,
34525,
1643,
2003,
2042,
2086,
1348,
6809,
59399,
59345,
59362,
59345,
59400,
5412,
1360,
5739,
25448,
59342,
1887,
1952,
1441,
21677,
1592,
1379,
6039,
1508,
32294,
14328,
1645,
1865,
1358,
37250,
26792,
21929,
1384,
1645,
1875,
11190,
3130,
8091,
59320,
59384,
59320,
59381,
59349,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
4660,
3019,
1932,
3138,
72,
2972,
11947,
59361,
59323,
1441,
2302,
8927,
37727,
2750,
1348,
9246,
22796,
3370,
4462,
16836,
72,
2972,
1952,
1441,
9246,
22796,
44901,
59342,
3265,
72,
2442,
1358,
34525,
1643,
2003,
1348,
2032,
1350,
2073,
15132,
1467,
2119,
1467,
1745,
1457,
5908,
1358,
16332,
15132,
59361,
59328,
3809,
59342,
2110,
1645,
5514,
1379,
7763,
1523,
5490,
11642,
72,
3330,
30976,
1385,
1358,
4114,
1384,
7366,
15462,
1476,
72,
3330,
5530,
1450,
55263,
1519,
1368,
7362,
7950,
1707,
1379,
1358,
35008,
1384,
7278,
1951,
1358,
7125,
2272,
1432,
1358,
4258,
1682,
3700,
72,
3330,
1727,
1733,
9886,
5738,
8641,
72,
18834,
1356,
10746,
1584,
3300,
1385,
1766,
17641,
72,
53440,
31590,
20052,
2192,
59321,
2406,
2054,
1450,
15166,
2714,
72,
26657,
3389,
5530,
31104,
1707,
1379,
19030,
1379,
1358,
24639,
1384,
2110,
1560,
1528,
4918,
6595,
4918,
1434,
1377,
1358,
5888,
1358,
13337,
10284,
10872,
24816,
63,
1586,
3022,
2003,
5278,
72,
2063,
30144,
58128,
1358,
43369,
1379,
20810,
1457,
2003,
1843,
1358,
2357,
7270,
1379,
1859,
6092,
72,
1496,
4221,
3427,
4704,
1712,
1358,
15132,
1525,
1358,
15166,
2714,
1877,
10436,
2620,
1544,
2264,
59342,
1496,
3443,
1554,
59361,
1699,
2017,
1476,
6898,
1384,
1896,
1536,
3265,
72,
59354,
3330,
5530,
1432,
1421,
1348,
2288,
2369,
72,
26657,
3389,
1368,
40856,
59342,
1496,
59355,
2424,
59361,
59323,
1972,
1536,
73,
1874,
31085,
1385,
1441,
1887,
59651,
59354,
1496,
59355,
2629,
2620,
2264,
58128,
59342,
1496,
59355,
28589,
1476,
72,
59354,
1496,
59355,
59361,
1699,
3079,
1476,
2620,
2264,
26657,
3389,
72,
2063,
9977,
1358,
1616,
39540,
28589,
1384,
1932,
46667,
6534,
1404,
2125,
26425,
1698,
72,
2063,
6453,
58128,
2237,
72,
1496,
24544,
2438,
59342,
1520,
1536,
3510,
7112,
1433,
3293,
72,
1417,
59361,
1699,
1441,
3374,
1385,
2163,
1449,
1384,
1449,
59361,
1352,
6898,
4708,
1525,
1358,
15132,
72,
59354,
2063,
9680,
4462,
72,
58128,
2264,
8720,
10806,
1434,
59342,
1496,
14085,
1441,
18424,
73,
59354,
1496,
59353,
3515,
2596,
5123,
2620,
1544,
5793,
2100,
15735,
1390,
2168,
59342,
1496,
59355,
10492,
1457,
1417,
2003,
3265,
2636,
5310,
2434,
1385,
2661,
1842,
21253,
1450,
1863,
2810,
59342,
3114,
8178,
20636,
72,
1417,
59361,
59335,
1573,
1733,
3221,
1379,
1863,
8565,
2336,
72,
3163,
1417,
2629,
1449,
2911,
1929,
25628,
3686,
2914,
72,
42085,
59345,
59362,
59349,
59400,
1496,
59355,
1675,
73,
59354,
2264,
58128,
72,
1496,
6331,
1449,
2127,
1476,
73,
1417,
59361,
59332,
2636,
5500,
59651,
59354,
1496,
59355,
59361,
1699,
1441,
2237,
2620,
1544,
12861,
72,
2063,
5530,
4462,
59342,
45250,
1358,
6092,
10207,
72,
2063,
1523,
6219,
45843,
2178,
2336,
72,
1507,
28589,
1901,
29696,
1384,
15748,
18007,
72,
2063,
6651,
1385,
3671,
1358,
1933,
1368,
5362,
2295,
17002,
1379,
3378,
1377,
1859,
9446,
72,
1826,
1523,
1358,
29406,
1697,
6603,
1358,
28589,
1882,
33276,
1348,
16332,
15132,
72,
5878,
1348,
1368,
5362,
59342,
45203,
1516,
10715,
51845,
59342,
48871,
1377,
1859,
2701,
31209,
72,
2063,
9680,
1432,
1358,
5810,
2563,
1379,
1939,
2197,
10719,
1384,
1358,
5860,
1379,
1348,
21729,
8157,
72,
1507,
28589,
53573,
72,
1507,
1368,
5362,
2295,
17002,
1379,
3378,
15496,
72,
2972,
1523,
1919,
6089,
1348,
5299,
1855,
1679,
6380,
72,
2063,
9680,
2002,
1358,
10303,
14526,
5810,
72,
1507,
8484,
8108,
72,
2063,
9680,
1476,
1432,
1384,
2002,
72,
2063,
4870,
1348,
3614,
5649,
72,
2063,
7428,
2517,
72,
1507,
9491,
1379,
20618,
1525,
1358,
1377,
3071,
22361,
1616,
45502,
4148,
1523,
43133,
59342,
1696,
21209,
1476,
14637,
28191,
1508,
23396,
59651,
1347,
1842,
2844,
59342,
15931,
2202,
59651,
2445,
25448,
1379,
1358,
39729,
1510,
1469,
50698,
9386,
72,
2063,
5530,
1432,
1384,
44261,
1544,
10492,
1358,
2362,
1368,
1485,
2561,
3259,
1346,
1371,
3493,
1379,
1859,
6103,
1384,
9712,
1358,
1376,
8661,
44406,
1576,
1379,
1348,
6380,
59342,
1384,
2192,
11284,
1358,
1616,
39540,
1396,
2469,
1467,
3375,
1733,
16876,
9889,
1457,
1544,
1523,
30123,
3221,
1544,
2192,
11284,
1476,
72,
2063,
5530,
1432,
59342,
1384,
2608,
1368,
5362,
3822,
1641,
53573,
72,
30912,
1434,
59342,
3035,
1353,
1847,
1379,
1859,
2701,
5983,
16176,
2714,
59342,
1544,
9680,
1358,
5810,
2002,
2517,
72,
2063,
2003,
23797,
2128,
1358,
16332,
15132,
72,
2063,
4603,
2237,
1450,
1358,
5810,
9680,
1432,
4586,
1753,
1384,
1510,
1358,
2412,
2132,
1544,
59361,
59332,
10492,
1358,
15132,
59361,
59328,
37412,
1368,
5362,
1434,
59342,
1544,
15496,
1385,
1357,
4700,
1859,
2336,
31049,
40109,
2782,
45033,
72,
2442,
1358,
57145,
2003,
1348,
2032,
1350,
1959,
15132,
1536,
10559,
6811,
72,
20217,
1476,
2286,
1580,
10559,
5577,
72,
2063,
9533,
4781,
6674,
1384,
8797,
1434,
1696,
44882,
11190,
3130,
8091,
59320,
59384,
59320,
59381,
59362,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
8619,
1358,
2218,
1379,
1358,
16332,
15132,
72,
59399,
59345,
59362,
59362,
59400,
5878,
1544,
5175,
59361,
59323,
72,
4612,
1510,
1645,
72,
1507,
3822,
1641,
1727,
4804,
2002,
72,
2063,
9712,
58128,
19325,
1707,
26653,
14474,
72,
2063,
1594,
3300,
1367,
10007,
1358,
2885,
2132,
1544,
2003,
3428,
2100,
72,
2063,
12186,
1367,
72,
2063,
1593,
12327,
72,
11152,
1544,
13872,
59342,
1384,
2287,
1516,
2323,
4759,
1512,
1510,
1358,
15166,
8237,
1457,
2003,
7386,
2995,
1385,
24782,
72,
2063,
9906,
1358,
7112,
1433,
3293,
1384,
58128,
1523,
1573,
1887,
72,
2063,
7640,
1358,
2001,
27340,
63,
24289,
13744,
2100,
9499,
2003,
2563,
1432,
1358,
43852,
31300,
10746,
72,
3330,
6453,
10007,
1358,
5800,
72,
2063,
9712,
1348,
2368,
8487,
3109,
1398,
1384,
1348,
8161,
1825,
1370,
72,
2063,
1594,
3300,
1367,
1432,
2175,
1753,
29446,
3027,
1910,
2533,
72,
1507,
8161,
12186,
1367,
4462,
72,
2738,
26657,
3389,
3596,
1707,
1432,
1358,
24639,
2025,
1377,
1817,
1385,
2198,
1358,
16939,
1379,
1348,
13329,
63,
59336,
34371,
59342,
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63,
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1348,
16332,
15132,
59342,
22687,
17743,
1421,
1469,
50698,
9386,
72,
3067,
2003,
11222,
1523,
2276,
63,
2036,
2059,
72,
6051,
2100,
2885,
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1358,
8377,
1433,
3293,
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59361,
59332,
4755,
1348,
8849,
2368,
33276,
72,
2738,
2271,
1384,
26657,
3389,
2003,
1843,
5220,
1385,
6267,
1358,
17041,
1350,
1379,
26272,
2914,
1469,
50698,
9386,
72,
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2106,
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3797,
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1508,
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8849,
2368,
72,
3308,
59361,
59332,
2399,
1385,
9965,
1476,
2524,
72,
3308,
2003,
72,
5082,
1348,
22594,
3540,
59342,
1476,
1523,
49598,
2132,
1348,
2368,
2386,
1379,
55525,
11444,
1952,
1580,
15496,
1385,
1580,
1358,
5800,
63,
58395,
15132,
4804,
2002,
1520,
1766,
38299,
42322,
72,
3308,
59361,
59332,
31798,
1358,
15496,
2368,
72,
2738,
3375,
52478,
9312,
2100,
72,
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39903,
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72,
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2271,
59361,
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1843,
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1951,
1358,
2368,
59342,
1697,
5530,
1432,
2533,
1358,
15132,
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3611,
1432,
2517,
1385,
4976,
1476,
72,
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59345,
59362,
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5,
5,
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3130,
8091,
59320,
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5,
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20495,
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2194,
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1421,
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1995,
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63,
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11354,
59342,
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1932,
26272,
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1573,
1573,
31706,
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5191,
1385,
53529,
72,
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58128,
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72,
2063,
59361,
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1843,
8937,
4109,
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16332,
15132,
21806,
1358,
5800,
72,
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3427,
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31151,
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1384,
13838,
1727,
7802,
3555,
1362,
72,
1826,
15948,
4505,
1457,
58128,
2003,
11642,
1712,
1385,
1476,
1377,
10607,
1457,
1887,
2286,
2025,
1441,
3295,
22786,
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1882,
3679,
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2303,
1707,
2100,
18528,
3265,
5645,
72,
3348,
1727,
1573,
3628,
1457,
26657,
3389,
4455,
1707,
1377,
9237,
1510,
1358,
8257,
72,
2063,
12369,
2055,
1358,
2368,
1972,
1348,
27485,
1782,
59342,
13899,
1385,
3671,
5729,
1696,
27871,
1384,
1733,
29000,
1348,
1368,
2847,
1457,
1476,
2147,
1580,
11605,
1932,
8072,
1520,
45507,
13986,
72,
30912,
1434,
1544,
9712,
28487,
17088,
59342,
5845,
5532,
11771,
72,
2063,
16708,
1457,
1358,
11771,
1727,
1358,
14511,
3220,
1377,
1384,
1707,
1379,
1859,
2701,
40322,
59342,
2596,
58128,
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8937,
4258,
1682,
1384,
4258,
1682,
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2995,
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6919,
20394,
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59322,
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72,
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2131,
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27418,
12585,
1384,
1385,
1441,
12585,
3292,
58128,
72,
3308,
1952,
1441,
5278,
1385,
1469,
50698,
9386,
72,
3055,
1544,
1952,
1717,
1385,
1469,
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9386,
59342,
1384,
21209,
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1377,
1895,
10897,
59342,
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1952,
12270,
36297,
1434,
1645,
5503,
39729,
1887,
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2291,
15492,
1379,
1766,
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72,
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4254,
3130,
8091,
59320,
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5,
5,
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5,
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2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
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3826,
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1520,
30226,
3013,
3881,
1349,
72,
10363,
59342,
1379,
3884,
59342,
1523,
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5069,
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26821,
2422,
1597,
72,
3163,
4702,
1952,
1580,
1843,
1694,
38130,
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2213,
1348,
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1467,
1536,
72,
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3588,
1358,
24639,
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1348,
11977,
1379,
17642,
14024,
72,
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1358,
3547,
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1358,
2809,
59342,
1817,
8627,
2750,
4945,
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1859,
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2506,
72,
1507,
3547,
1379,
1358,
2809,
1523,
17656,
14498,
22593,
1532,
1379,
1932,
2701,
72,
1507,
3532,
4025,
2003,
4356,
5602,
3836,
40196,
1872,
1726,
13190,
1367,
1645,
3628,
3295,
6188,
2608,
1828,
1727,
3041,
2849,
59342,
1384,
1872,
9012,
1385,
50286,
1358,
1414,
2365,
72,
6183,
4719,
59342,
1358,
3532,
4025,
2003,
1843,
1995,
17594,
1525,
3597,
1520,
36314,
2067,
21059,
1379,
33948,
2487,
1384,
2218,
72,
2442,
1358,
3532,
4025,
1727,
1463,
1462,
4623,
59342,
1887,
1523,
1919,
1875,
8976,
5156,
1385,
6246,
2849,
72,
3055,
1348,
2407,
5219,
1379,
6133,
63,
14049,
2583,
1368,
17594,
1877,
5610,
1379,
1458,
1722,
59332,
1386,
15829,
1421,
6263,
1385,
1441,
4895,
1377,
1932,
2276,
63,
1962,
2069,
72,
11658,
59342,
15918,
1959,
1875,
36367,
4529,
1798,
1697,
2286,
2661,
2885,
13513,
59342,
1358,
3532,
4025,
9173,
1385,
4954,
1932,
7824,
1379,
19557,
55408,
1450,
1842,
8976,
1733,
1995,
17594,
72,
3295,
23755,
4281,
72,
1507,
2354,
1457,
1358,
3542,
12240,
2563,
1919,
2213,
8676,
1751,
2003,
1932,
2218,
72,
1507,
3532,
4025,
16790,
13956,
1379,
2291,
4451,
1385,
2111,
1377,
14782,
1358,
3797,
1633,
1379,
1358,
16332,
15132,
59342,
1384,
12585,
6288,
1385,
4954,
1842,
44816,
1421,
14480,
3292,
1476,
1450,
1645,
1358,
2809,
72,
19247,
1887,
1523,
1458,
9839,
1377,
1358,
3049,
3766,
1379,
1358,
3532,
4025,
23315,
72,
3163,
26657,
3389,
11883,
6811,
1379,
1536,
72,
5884,
21729,
59399,
59345,
59362,
59381,
59400,
8157,
1919,
6089,
29354,
1385,
3402,
2995,
5418,
72,
1826,
2003,
1843,
46620,
1951,
3375,
3686,
59342,
7051,
2121,
1463,
1935,
1374,
12115,
6012,
1727,
18027,
1384,
8172,
41672,
2197,
10719,
59342,
3109,
3300,
1865,
1859,
22538,
1467,
1544,
3818,
5033,
72,
3163,
1796,
1544,
2003,
3263,
1379,
3450,
1377,
1358,
23755,
1379,
1859,
4451,
59342,
1544,
11947,
59361,
59323,
1580,
1843,
7298,
72,
2063,
2286,
3887,
1859,
5365,
2025,
1432,
1745,
4174,
1384,
16006,
4049,
1385,
1476,
72,
2063,
1560,
25220,
3588,
1358,
24639,
59342,
16409,
1367,
1520,
1348,
10235,
2906,
1350,
1379,
17833,
2327,
72,
2063,
1523,
1432,
3211,
1421,
6890,
1379,
1348,
2368,
72,
2063,
1523,
1694,
2641,
1367,
72,
3141,
1358,
6068,
1544,
14880,
1457,
1645,
1358,
3547,
1379,
36249,
1523,
1726,
2641,
1367,
59342,
1377,
2218,
1796,
1573,
1377,
2354,
72,
3055,
1544,
2003,
1919,
7436,
59342,
2025,
1458,
15304,
17833,
2327,
72,
3163,
2493,
1544,
1952,
1580,
1385,
2843,
2128,
16332,
37307,
1385,
1748,
1510,
2608,
1544,
10559,
1385,
12270,
59342,
1544,
16708,
1457,
1476,
1523,
5834,
1385,
2144,
3221,
1457,
1544,
1952,
1441,
3374,
1385,
2843,
2128,
2054,
59342,
1457,
1859,
7470,
1421,
17886,
1469,
50698,
9386,
1523,
1377,
2471,
2675,
72,
1826,
1523,
2911,
9680,
1432,
72,
2063,
9680,
1476,
2002,
1385,
1441,
43766,
1379,
1932,
25865,
72,
2063,
5530,
1432,
59342,
8232,
1379,
2025,
1745,
4174,
59342,
24864,
2291,
12275,
1421,
57352,
1450,
1348,
24458,
37789,
59342,
5412,
4305,
1563,
5269,
2493,
1745,
5010,
2055,
3351,
1523,
15135,
1434,
16070,
59342,
1696,
16860,
30220,
1481,
2731,
1385,
2629,
1379,
4648,
72,
2063,
2192,
11284,
1358,
15972,
1388,
1402,
46219,
59342,
1697,
4804,
2128,
1859,
17781,
2493,
1379,
1932,
1463,
26558,
72,
2063,
9680,
1432,
1859,
5810,
1384,
5530,
6595,
4918,
1434,
10076,
72,
2063,
11883,
1544,
2003,
12999,
1348,
16332,
15132,
1520,
1358,
1368,
5362,
32092,
1697,
5248,
2128,
1358,
9491,
1379,
20618,
1859,
11344,
5908,
72,
5878,
1828,
53573,
72,
2063,
11883,
1457,
1358,
15132,
2003,
1843,
4804,
2002,
72,
2063,
9712,
1348,
8161,
6534,
1712,
72,
1420,
2368,
1508,
15764,
2003,
15496,
8947,
1358,
5800,
63,
58395,
15132,
1384,
49413,
1421,
1476,
1385,
1441,
4804,
2002,
59342,
1467,
1476,
2003,
1843,
72,
26657,
3389,
35380,
1951,
1358,
40425,
1392,
1959,
1358,
7916,
44130,
1434,
1467,
1476,
31798,
59342,
1696,
23791,
1385,
6178,
59399,
59345,
59362,
59387,
59400,
25996,
1421,
2608,
2132,
58128,
2003,
1843,
5278,
72,
2063,
1523,
12940,
1882,
1358,
2368,
9184,
72,
1826,
1523,
1348,
15021,
3298,
4028,
2368,
1450,
1348,
1477,
1562,
39697,
1510,
1932,
16939,
72,
1826,
5248,
18249,
1434,
3588,
1358,
24639,
72,
1420,
8614,
20394,
1525,
2995,
59342,
1887,
1727,
21677,
1592,
72,
5312,
5868,
5248,
1707,
1379,
1358,
2617,
11199,
72,
1507,
4692,
15496,
1384,
1358,
2368,
28001,
1367,
1361,
5912,
2168,
1384,
5530,
1951,
1358,
1383,
7212,
42003,
1358,
24639,
72,
1420,
1782,
1594,
3300,
1367,
1707,
59342,
3109,
5613,
1510,
1859,
3670,
72,
1420,
6534,
13440,
1377,
1932,
7395,
5922,
2003,
2930,
9773,
1645,
1932,
44901,
72,
1507,
18807,
7395,
5922,
2003,
14067,
2995,
1525,
7466,
7424,
59342,
1696,
1859,
19066,
1523,
1432,
5998,
72,
8647,
3797,
59342,
1939,
1379,
2054,
59342,
3596,
1707,
1392,
1606,
2168,
72,
24646,
2003,
2930,
9773,
1377,
1358,
2237,
1379,
1358,
2368,
59342,
3265,
72,
1507,
2566,
3797,
4759,
1512,
1845,
37473,
1434,
72,
5,
5,
4254,
3130,
8091,
59320,
59373,
5,
5,
59381,
59367,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
5878,
1745,
1379,
2054,
2264,
3375,
1697,
27244,
1358,
4648,
1385,
2287,
7738,
12421,
2524,
1358,
24639,
4462,
1525,
1358,
1383,
1362,
5033,
2368,
72,
1507,
4487,
1782,
2963,
7477,
37896,
23516,
2055,
1358,
11090,
63,
58338,
1939,
72,
26657,
3389,
59342,
13406,
1384,
1392,
1959,
1450,
5412,
2815,
1367,
6674,
59342,
11883,
1882,
1358,
16332,
15132,
5248,
1432,
2517,
72,
2063,
10492,
1476,
59342,
2362,
1368,
5362,
2493,
1379,
1859,
8921,
59342,
1696,
5787,
8797,
72,
1507,
21677,
1592,
2003,
5278,
2885,
1882,
1358,
2368,
1523,
1377,
1358,
2957,
2336,
9522,
2517,
1520,
1358,
16332,
15132,
72,
1507,
3797,
1377,
1358,
2368,
59342,
57644,
2467,
1384,
1757,
1355,
5033,
59342,
2003,
40667,
2493,
1358,
15132,
1523,
3642,
1385,
3611,
2237,
1432,
1384,
1828,
5175,
59361,
59323,
2235,
1385,
1441,
15571,
1377,
1476,
72,
26657,
3389,
10760,
1457,
1358,
3441,
2997,
23028,
1823,
1379,
1358,
57145,
2003,
1919,
8921,
3292,
1358,
15132,
1385,
4658,
1859,
2701,
72,
22882,
1358,
57145,
7874,
1727,
13252,
2025,
3679,
1358,
2515,
1698,
72,
1900,
1523,
1458,
5239,
18813,
1859,
7436,
1379,
57352,
1421,
58128,
72,
2063,
12878,
1476,
4462,
1377,
1859,
5365,
72,
5878,
1544,
16708,
1457,
1358,
21059,
1377,
1358,
2368,
2003,
2930,
9773,
2042,
1972,
1358,
1369,
24070,
1432,
1859,
2701,
11372,
52453,
72,
1507,
38210,
1523,
1573,
3796,
1450,
1358,
16332,
15132,
72,
2972,
59361,
59332,
1843,
1919,
15132,
1377,
3516,
1882,
1859,
2701,
1369,
24070,
14117,
59341,
1712,
72,
1826,
59399,
59345,
59362,
59384,
59400,
2579,
1573,
5803,
15251,
1457,
1796,
1358,
57145,
16409,
1367,
1348,
2032,
1350,
1409,
15132,
1457,
1828,
59361,
59332,
3659,
1476,
1432,
1766,
2701,
2997,
23028,
1823,
72,
3721,
72,
54336,
39729,
1952,
1675,
6811,
1733,
2276,
63,
36655,
1422,
37073,
72,
5878,
26657,
3389,
11160,
2524,
1510,
1358,
18027,
2197,
1862,
63,
59336,
5579,
8157,
5810,
1379,
1859,
2701,
30940,
72,
2063,
5501,
1358,
2354,
1457,
1859,
2701,
1369,
24070,
2003,
2930,
9773,
1358,
12174,
1544,
59361,
59332,
9680,
1358,
35002,
1686,
1432,
72,
1507,
21059,
1377,
1358,
1875,
2368,
2032,
1350,
1556,
1882,
1457,
2368,
1523,
3679,
2995,
72,
2063,
1594,
1438,
7901,
1432,
2175,
8232,
2362,
10592,
1384,
21187,
1835,
1358,
6094,
72,
2063,
2478,
35145,
1385,
3659,
2002,
1859,
35002,
1686,
2493,
1544,
1952,
1929,
1476,
1385,
2370,
6390,
58128,
72,
3163,
1882,
1544,
6665,
1385,
2629,
1379,
1842,
4174,
1694,
18908,
1450,
57352,
59342,
1859,
5365,
5334,
18262,
1384,
1845,
37473,
72,
7753,
10390,
3588,
1358,
24639,
59342,
1697,
2003,
1573,
4681,
9680,
1385,
3005,
1377,
10007,
1469,
50698,
9386,
59342,
1887,
1523,
1348,
8927,
7905,
72,
26657,
3389,
23797,
20056,
1385,
1358,
27544,
4606,
72,
2063,
2303,
1358,
8487,
26410,
72,
21952,
21088,
4455,
59342,
1544,
13789,
1476,
72,
2063,
26751,
1358,
4714,
2379,
72,
2063,
2303,
1348,
9246,
22796,
1384,
5047,
1348,
5330,
1379,
44901,
72,
2063,
5501,
2054,
59342,
2110,
3428,
1358,
13077,
1384,
1645,
1358,
44901,
1696,
2566,
72,
2063,
5530,
1707,
72,
30912,
1434,
1544,
20309,
1348,
9246,
22796,
11428,
2524,
1432,
1358,
5800,
72,
2063,
1369,
12846,
2002,
17691,
63,
25840,
20394,
1384,
16432,
3351,
72,
2063,
16432,
1348,
4487,
17691,
63,
25840,
20394,
4258,
1682,
1432,
59342,
1384,
2110,
15563,
37491,
2002,
2566,
8614,
9499,
72,
1507,
2368,
2003,
1843,
2042,
1835,
1457,
4258,
4462,
1882,
1358,
21677,
1592,
5248,
72,
2063,
9680,
1432,
1859,
5810,
72,
7753,
1379,
1358,
2566,
44901,
2930,
9773,
2192,
1607,
2168,
72,
1507,
1368,
1522,
4609,
4462,
2579,
1573,
2930,
1734,
72,
2063,
2579,
1573,
1396,
59392,
6169,
72,
2063,
5530,
1432,
2750,
3440,
1409,
59342,
1696,
1476,
5334,
1348,
1789,
1379,
1859,
3750,
1389,
2395,
4199,
1421,
1471,
6390,
1659,
1457,
1544,
11883,
1544,
2286,
1899,
2002,
21677,
2802,
59399,
59345,
59362,
59373,
59400,
3019,
1348,
8614,
1384,
17691,
63,
25840,
20394,
1379,
9930,
72,
2972,
1523,
3375,
1835,
1358,
5810,
1544,
59361,
59332,
12956,
1697,
2563,
21677,
2802,
2032,
56189,
59342,
1712,
1385,
1348,
6254,
1379,
1348,
3515,
1865,
1745,
8614,
20394,
72,
2063,
10492,
1919,
45198,
1835,
1476,
59342,
4719,
1476,
1523,
4065,
4708,
72,
1507,
11051,
2329,
1966,
1379,
9618,
7640,
63,
2016,
1411,
1889,
16497,
5908,
30338,
1379,
3854,
3639,
1358,
7640,
63,
1739,
1771,
6651,
1385,
8404,
1707,
72,
2972,
1727,
2246,
2950,
1359,
3321,
19356,
1377,
1697,
59342,
1421,
2246,
2950,
1359,
3321,
23056,
1379,
1817,
59342,
3854,
4226,
19300,
1385,
1618,
11581,
29354,
72,
1900,
2003,
1573,
1843,
5901,
1707,
1377,
9481,
59342,
1696,
1358,
4702,
1523,
4104,
72,
2063,
5248,
1385,
1358,
2885,
2132,
1358,
2357,
24639,
1385,
1469,
50698,
9386,
2123,
57410,
2002,
1525,
1358,
5800,
1544,
1523,
2800,
72,
2063,
9680,
1951,
1476,
59342,
13017,
6595,
4918,
1434,
72,
11856,
10390,
10007,
1358,
17509,
59342,
1458,
4692,
6380,
1367,
1525,
6491,
2995,
72,
2063,
3596,
2002,
1358,
24639,
1384,
9680,
1358,
8577,
72,
1420,
5047,
63,
2232,
15764,
5248,
1560,
1660,
3493,
51898,
3588,
1358,
5800,
72,
1826,
5248,
14844,
1384,
14844,
72,
16015,
63,
2641,
1891,
3000,
1701,
2930,
9773,
72,
1507,
4692,
15496,
1384,
1358,
3378,
15764,
2705,
11000,
1865,
9560,
1932,
3700,
72,
26657,
3389,
2579,
1573,
3895,
1476,
72,
9104,
9393,
3427,
1573,
1441,
8603,
59342,
1384,
1544,
1952,
1573,
2163,
1476,
3259,
1385,
6804,
1842,
1782,
20495,
1872,
11190,
3130,
8091,
59320,
59373,
59320,
59381,
59381,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
1523,
3796,
1450,
58128,
59361,
59328,
5865,
1698,
72,
2063,
8627,
1358,
15764,
1384,
5530,
1432,
1712,
1358,
24639,
72,
28625,
10390,
1712,
1358,
5800,
1348,
15764,
5248,
2524,
1525,
1469,
50698,
9386,
72,
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8549,
9930,
29987,
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1434,
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1859,
11344,
72,
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13077,
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1385,
10450,
1450,
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2032,
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1409,
72,
1507,
15764,
45273,
72,
1826,
1523,
7049,
1385,
26657,
3389,
1457,
40238,
19836,
19681,
3556,
5530,
8603,
1510,
1835,
1358,
1817,
1457,
21677,
2802,
5530,
2002,
72,
1507,
2354,
1523,
59342,
1379,
3884,
59342,
1457,
10303,
2202,
3827,
1410,
1753,
1508,
3249,
4872,
1519,
72,
1646,
1458,
10303,
9491,
1358,
18925,
1594,
15971,
3554,
1367,
1384,
2579,
1573,
5998,
1377,
1358,
30247,
1465,
72,
2972,
1727,
1939,
1875,
11522,
1697,
17549,
1367,
1385,
59399,
59345,
59370,
59344,
59400,
2843,
26657,
3389,
1467,
1544,
5530,
1432,
1712,
1358,
2288,
2369,
1385,
1358,
17509,
72,
9627,
5248,
1525,
1358,
12855,
1379,
1358,
5433,
72,
2063,
3428,
2054,
48987,
1367,
42003,
1358,
24639,
72,
23961,
3651,
59342,
1544,
23797,
1450,
1348,
6595,
4918,
2197,
1400,
2714,
10007,
1358,
2885,
2132,
58302,
2003,
1843,
1358,
1933,
1385,
2650,
1348,
4562,
3611,
2524,
1525,
1358,
18086,
72,
4441,
2003,
1843,
1980,
2302,
3424,
5123,
74,
11856,
74,
12891,
74,
5878,
26657,
3389,
2003,
1843,
1348,
16583,
1384,
2119,
63,
26801,
1367,
31019,
48092,
1385,
1369,
1481,
1400,
2583,
1835,
4244,
4413,
59342,
1696,
1383,
8790,
3036,
1446,
1379,
1358,
6144,
1379,
4648,
72,
6183,
1544,
59361,
59332,
6847,
72,
2063,
10492,
2025,
1745,
23261,
59342,
1697,
1523,
17833,
2327,
2213,
1467,
1544,
59361,
59332,
3946,
48887,
2533,
72,
2063,
2003,
2025,
1745,
3879,
1519,
59342,
1697,
1523,
1385,
2661,
3616,
1384,
3495,
14500,
1394,
1959,
1471,
6390,
1659,
1421,
2024,
2003,
1843,
3952,
1385,
58128,
72,
2063,
1594,
1438,
7901,
1432,
1384,
1432,
72,
2063,
2003,
1385,
2144,
1348,
34824,
1379,
1573,
3249,
1910,
17691,
10390,
1525,
1358,
5433,
59361,
59328,
8257,
72,
2063,
11512,
1367,
1432,
3211,
2493,
1887,
1727,
16332,
37307,
1385,
2843,
1384,
40238,
19836,
2579,
1573,
2399,
1882,
1859,
18471,
5810,
14644,
72,
2063,
2286,
1573,
11672,
9930,
1525,
1358,
10757,
1457,
1383,
1362,
5033,
59342,
2493,
1645,
7957,
48585,
21059,
1384,
1766,
1891,
3000,
1701,
14117,
59341,
1510,
1358,
2461,
1817,
72,
2063,
1523,
1348,
11158,
7589,
3836,
1358,
23365,
59342,
34824,
1371,
8178,
6138,
1348,
54598,
24639,
59342,
7521,
1608,
44771,
1385,
12270,
59651,
22508,
59651,
2445,
1995,
40483,
1525,
16797,
3597,
1384,
1358,
3797,
1872,
5901,
1450,
2054,
1421,
1358,
1463,
32498,
1379,
11354,
72,
2522,
1859,
6761,
1544,
8937,
1358,
1740,
1657,
1447,
1379,
7470,
59342,
1348,
5810,
2563,
1379,
1348,
21729,
8157,
1384,
1348,
18027,
2197,
1862,
72,
2063,
2003,
4186,
1377,
1859,
36168,
59342,
1696,
1544,
2286,
1573,
10953,
72,
8868,
1358,
14978,
1544,
5334,
3035,
1353,
1847,
1379,
1932,
5157,
1384,
36216,
1476,
4462,
72,
3163,
1544,
1393,
1815,
1367,
4022,
72,
5547,
1910,
4586,
1544,
2603,
2231,
1525,
2718,
25266,
1865,
1697,
1358,
24639,
48055,
2003,
2563,
2718,
14436,
29718,
72,
3141,
2566,
1377,
1358,
14978,
1348,
15764,
5248,
1712,
1525,
59399,
59345,
59370,
59345,
59400,
6491,
72,
5792,
1544,
1560,
1528,
4918,
2131,
28595,
1584,
29403,
1697,
2563,
2995,
5803,
5738,
1348,
5567,
1686,
72,
1507,
24639,
5530,
2128,
1348,
2143,
59343,
1613,
2131,
1617,
54381,
23365,
3239,
72,
2972,
1523,
1919,
2885,
1421,
2995,
1385,
32083,
1364,
9930,
72,
4139,
1544,
9712,
1358,
4692,
59342,
1544,
15496,
1384,
18741,
1476,
72,
1507,
15764,
2003,
10342,
1712,
2302,
3797,
1525,
48987,
1367,
10757,
3588,
1932,
8981,
72,
2972,
1727,
1757,
1355,
5033,
1384,
56645,
5033,
1384,
39580,
3797,
59342,
21145,
1520,
1358,
38210,
1379,
1766,
5998,
27197,
72,
1507,
15764,
9293,
2054,
3588,
1384,
48203,
1718,
26657,
3389,
72,
2063,
49413,
2362,
26842,
1434,
3021,
1476,
2579,
1573,
5803,
5156,
1457,
1828,
1952,
14819,
1457,
1745,
1782,
2003,
7386,
1358,
38520,
72,
1507,
9393,
1379,
1358,
15764,
1450,
1358,
10342,
63,
1497,
3797,
2579,
1573,
2478,
2629,
1379,
2213,
1348,
4562,
72,
26657,
3389,
15948,
2636,
1753,
5156,
1358,
18685,
1379,
2911,
3351,
48987,
72,
1507,
48203,
2395,
15764,
6713,
1367,
2524,
72,
2972,
1952,
1441,
1919,
58297,
1377,
1469,
50698,
9386,
5433,
72,
2972,
1952,
2025,
1441,
1358,
6255,
6187,
1348,
7458,
1358,
57145,
59342,
1467,
26657,
3389,
4702,
1367,
1476,
1707,
72,
3055,
1358,
15764,
6713,
1367,
59342,
8413,
3371,
1385,
5254,
26657,
3389,
44269,
72,
3141,
1348,
8614,
1384,
17691,
63,
25840,
20394,
1525,
26657,
3389,
59342,
21059,
1377,
1358,
15764,
28267,
14117,
59341,
7874,
7035,
3080,
15435,
72,
1507,
4692,
59342,
15496,
1377,
18367,
59342,
33301,
1467,
1348,
7035,
3080,
6359,
40310,
72,
1507,
15764,
4759,
6258,
2002,
1358,
24639,
72,
1826,
9680,
1865,
1384,
1523,
2911,
72,
26657,
3389,
9680,
1384,
23797,
1432,
72,
2063,
5501,
10235,
1434,
1457,
1476,
1523,
15021,
6898,
1421,
2995,
1385,
1717,
1432,
72,
2972,
1727,
1919,
21059,
3428,
6491,
2995,
72,
1507,
3797,
7874,
1727,
1570,
4355,
1712,
72,
3330,
1952,
5716,
1385,
2144,
1919,
14622,
8947,
1348,
2650,
1379,
1766,
7826,
1384,
1348,
8720,
59324,
1421,
2111,
72,
1507,
2650,
2286,
1441,
2563,
1520,
1358,
8157,
59342,
1697,
1523,
1573,
11190,
3130,
8091,
59320,
59373,
59320,
59381,
59387,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
2192,
16427,
72,
32238,
1458,
7946,
3661,
59342,
26657,
3389,
10492,
1358,
1346,
1371,
3493,
1697,
10559,
1457,
1859,
11344,
1523,
25113,
2995,
1525,
1348,
16332,
15132,
72,
1507,
1346,
1371,
3493,
38502,
2025,
1348,
3554,
1817,
59342,
1696,
39206,
4760,
3661,
1476,
5248,
2237,
72,
5878,
1476,
1396,
59399,
59345,
59370,
59349,
59400,
21418,
1367,
1510,
10398,
18122,
72,
20204,
4760,
59651,
38603,
59651,
2405,
59651,
22587,
59651,
28379,
59651,
1639,
72,
8648,
1817,
1358,
16332,
15132,
2147,
1580,
39648,
35191,
2995,
1384,
7386,
21127,
17656,
72,
1420,
1782,
1450,
1919,
18471,
5810,
1952,
1580,
2003,
1859,
36368,
1570,
4021,
1367,
1520,
10391,
1482,
6421,
1733,
7035,
3080,
1510,
55707,
18122,
72,
26657,
3389,
6665,
1385,
4702,
1707,
3882,
1536,
14830,
63,
20333,
15539,
4008,
1379,
1358,
16332,
15132,
32390,
59361,
59323,
1843,
2086,
2533,
72,
3015,
1458,
1694,
7056,
1782,
1476,
1952,
1441,
15675,
1910,
8945,
3750,
72,
3721,
5503,
1782,
2286,
6246,
3374,
1385,
21815,
1842,
7973,
1796,
12557,
1385,
2213,
58586,
72,
1507,
15132,
1523,
23946,
1434,
4759,
3300,
1510,
4663,
18122,
59342,
1384,
1358,
18988,
38502,
1421,
1458,
7946,
1384,
1348,
5047,
72,
37693,
1696,
26657,
3389,
6491,
1348,
9491,
1379,
20618,
1952,
1580,
1843,
6615,
1385,
1570,
3160,
1371,
1392,
1775,
7604,
72,
5878,
59342,
25146,
59342,
1358,
15132,
1798,
15496,
72,
3163,
26657,
3389,
3428,
1859,
5810,
1377,
6995,
72,
32238,
1458,
7946,
3661,
2911,
59651,
7091,
1385,
4488,
1365,
59361,
21466,
59651,
1362,
9184,
1457,
1358,
1995,
40483,
17145,
1457,
1842,
25445,
2147,
1580,
1843,
8445,
9312,
1712,
1421,
13095,
72,
3330,
5159,
1458,
47525,
1385,
2163,
1707,
2024,
2003,
11222,
1385,
1766,
29521,
1384,
10757,
72,
26657,
3389,
7640,
3151,
10757,
1384,
1348,
3378,
15764,
1377,
4781,
7497,
7521,
10007,
2995,
1525,
1358,
9386,
72,
3330,
1727,
4781,
59342,
1467,
1796,
1421,
25663,
8921,
72,
3330,
7366,
50321,
59342,
1467,
1796,
41904,
1358,
28475,
1457,
2003,
48203,
4355,
4648,
72,
1507,
3554,
8546,
7417,
1525,
2192,
16427,
29521,
15948,
2959,
59340,
1597,
1385,
2054,
59342,
1696,
1358,
47525,
1523,
16324,
1385,
7960,
2478,
2213,
23136,
5276,
1798,
72,
1507,
3151,
10757,
1377,
1358,
2607,
13161,
4488,
3797,
2351,
72,
8648,
1782,
1523,
28160,
1450,
1348,
46843,
7859,
1348,
3331,
10309,
24251,
1377,
1932,
23600,
1384,
9028,
1377,
1932,
13658,
72,
1507,
31038,
1888,
20093,
8472,
1712,
72,
2972,
1523,
1753,
1891,
3000,
1701,
1377,
1358,
3378,
15764,
6491,
59342,
1384,
1476,
1523,
1377,
33017,
6436,
1421,
1896,
59342,
1696,
1358,
15764,
3795,
1523,
59399,
59345,
59370,
59362,
59400,
1379,
11493,
72,
2442,
1457,
1891,
3000,
1701,
2032,
1350,
1556,
59342,
1476,
2286,
1675,
1919,
9760,
72,
2442,
1476,
2579,
1573,
59342,
1476,
1952,
1441,
2872,
1421,
1896,
3292,
1358,
3331,
1782,
10097,
1520,
1358,
9393,
1379,
1358,
2652,
15764,
1385,
1441,
48987,
1367,
72,
3163,
26657,
3389,
7640,
2054,
6421,
72,
3330,
5248,
12813,
3027,
2524,
1348,
2288,
8472,
16010,
1379,
5800,
72,
2063,
21883,
5564,
1348,
55024,
6795,
42003,
1358,
24639,
1385,
1348,
3515,
1488,
1591,
1534,
1457,
6453,
4462,
1525,
1358,
5800,
72,
2063,
7847,
9930,
2132,
1544,
1523,
9618,
23136,
1385,
1441,
4755,
72,
5878,
1544,
49413,
72,
1507,
45600,
2651,
1958,
1379,
10757,
9184,
72,
1826,
32945,
2123,
3210,
1434,
10007,
26657,
3389,
1510,
3375,
1972,
28137,
10390,
1458,
7946,
72,
22882,
6919,
20394,
16656,
1358,
2607,
2368,
1525,
1358,
2554,
72,
1507,
15764,
1523,
1348,
1560,
1436,
1378,
14844,
1385,
1358,
3151,
1782,
63,
7801,
26476,
11522,
72,
3330,
57645,
3588,
59342,
2291,
1782,
16186,
72,
3330,
1952,
2843,
39367,
9499,
3871,
26657,
3389,
72,
2063,
2579,
6811,
72,
5884,
5810,
1523,
3943,
9680,
1432,
72,
2063,
23740,
1377,
55185,
26842,
72,
1507,
2607,
2368,
15496,
1467,
1796,
1476,
2003,
2399,
1951,
1348,
24290,
6795,
59342,
2596,
31038,
1888,
5666,
1476,
14117,
59341,
20871,
1377,
1932,
2705,
72,
1507,
2554,
2368,
45273,
1951,
1476,
59342,
31038,
1888,
2032,
1350,
1959,
72,
1507,
4487,
2368,
72,
1507,
10239,
72,
1507,
15764,
1369,
9910,
1951,
1358,
4648,
1450,
1348,
31676,
7738,
2295,
1579,
1384,
1368,
21251,
2650,
59342,
2351,
8331,
37223,
10309,
24251,
2844,
2930,
4651,
1377,
1358,
2461,
12174,
72,
1507,
15764,
5334,
19777,
11493,
72,
26657,
3389,
5530,
4462,
3588,
1358,
2718,
1488,
1591,
1534,
72,
6051,
2336,
1432,
1544,
1952,
6352,
1358,
24639,
72,
2063,
9856,
1457,
1544,
1952,
18023,
1510,
1469,
50698,
9386,
6288,
1835,
5047,
1458,
7946,
2055,
7978,
72,
1826,
10545,
1385,
2995,
1457,
2110,
58128,
1952,
1580,
1843,
1348,
14059,
1349,
1379,
1358,
1995,
40483,
1421,
3375,
1753,
1910,
27276,
4680,
59342,
1510,
3999,
6919,
1379,
2054,
1510,
1766,
25178,
72,
5,
5,
4254,
3130,
8091,
59320,
59373,
5,
5,
59381,
59384,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
15953,
1544,
6651,
1358,
20597,
1457,
1952,
2661,
2995,
1385,
1358,
1995,
40483,
59342,
26657,
3389,
15496,
1510,
1348,
2718,
7546,
72,
2063,
2603,
2231,
1393,
1815,
2168,
72,
59399,
59345,
59370,
59370,
59400,
5,
5,
4254,
3130,
8091,
59320,
59345,
59344,
5,
10520,
1523,
1348,
2566,
63,
2209,
63,
1849,
22896,
1377,
1358,
18086,
1882,
1358,
2652,
10057,
1368,
17594,
1377,
1358,
11634,
72,
4139,
43456,
13872,
1476,
1523,
3943,
3250,
72,
1826,
8023,
3515,
3378,
59375,
1573,
2636,
1753,
1910,
1358,
11923,
8178,
72,
1826,
2579,
2111,
26657,
3389,
2596,
1476,
38502,
4944,
72,
2063,
11883,
1358,
34184,
1835,
1469,
50698,
9386,
1696,
1573,
1377,
9237,
72,
2738,
1476,
1952,
1573,
1441,
30621,
1421,
2995,
1385,
3859,
51898,
1385,
1366,
24077,
25996,
1432,
1358,
34313,
1379,
1859,
8976,
72,
2063,
2086,
1358,
22896,
4891,
1421,
1859,
3895,
1520,
1358,
3999,
10353,
8981,
1385,
1358,
17509,
72,
4139,
1476,
7887,
2766,
1384,
5530,
6491,
1358,
23365,
59342,
1544,
9012,
1385,
20597,
59342,
32143,
12547,
6508,
59342,
2110,
13494,
1517,
1384,
20597,
2517,
1467,
1358,
12474,
3220,
44217,
72,
5884,
5365,
1523,
35080,
1450,
51312,
6138,
2024,
1544,
10559,
1385,
1675,
72,
1507,
1366,
3478,
1742,
1432,
1358,
24639,
1952,
1580,
3041,
8027,
1385,
1358,
1995,
40483,
1457,
1544,
2286,
1675,
7161,
72,
3330,
1952,
2661,
2291,
3259,
5582,
59324,
1942,
3292,
2995,
72,
1826,
1523,
12016,
1379,
26657,
3389,
1457,
1544,
3750,
1389,
2395,
1434,
48887,
2291,
44854,
1457,
3427,
1441,
3370,
1377,
1859,
2369,
72,
8868,
1358,
2652,
5047,
7946,
1379,
1859,
1757,
4629,
12448,
5848,
59342,
1421,
3268,
59342,
1544,
1523,
10391,
33274,
1520,
1348,
4204,
1859,
34313,
3427,
1580,
2086,
1385,
2144,
2995,
58892,
1859,
6325,
72,
2442,
1828,
5809,
20309,
46843,
10309,
41657,
1432,
1358,
5813,
1510,
18122,
1379,
17691,
63,
25840,
1508,
37033,
20394,
59342,
1544,
2286,
1573,
5040,
1457,
2473,
1450,
1859,
5810,
1377,
6995,
2750,
54335,
1712,
2608,
44901,
72,
1826,
1523,
1348,
3259,
7802,
31204,
1457,
7386,
2995,
1385,
34143,
1450,
13290,
72,
3163,
1476,
9471,
59361,
59323,
4455,
1379,
1520,
6461,
3686,
72,
3015,
1662,
7239,
1476,
59342,
1348,
1782,
1952,
1580,
1385,
2127,
1980,
1358,
2032,
59326,
59399,
59345,
59370,
59367,
59400,
59322,
1409,
2864,
5901,
1384,
1980,
4258,
1476,
10115,
72,
24336,
2329,
1696,
26657,
3389,
11883,
72,
8950,
1919,
1745,
2286,
1662,
7239,
1536,
14480,
3292,
2995,
72,
2063,
5901,
1859,
2369,
1385,
1469,
50698,
9386,
59361,
59328,
2237,
8487,
2128,
23994,
6593,
1384,
1865,
1376,
1619,
1465,
72,
30912,
1434,
1544,
11160,
2524,
6138,
1859,
14280,
72,
3015,
1859,
2352,
1384,
3428,
55024,
26414,
1727,
5574,
21766,
1388,
8840,
3292,
1358,
7815,
1687,
18086,
72,
2063,
1414,
29077,
2524,
1432,
1358,
17509,
1384,
1358,
29422,
1996,
2132,
1358,
9952,
1952,
1441,
5008,
59342,
1384,
1358,
6400,
2132,
20081,
5248,
1707,
1379,
1358,
8243,
38592,
72,
2972,
1727,
3450,
3021,
1358,
1817,
1544,
59361,
59332,
11160,
2524,
1525,
58302,
59361,
59328,
8462,
2385,
1384,
2533,
1358,
16332,
15132,
18860,
2995,
72,
2063,
20139,
5947,
2054,
44910,
59342,
1696,
1358,
19030,
2533,
2995,
1523,
1650,
1404,
22361,
72,
27114,
1544,
7640,
59342,
2438,
2132,
3597,
57145,
1727,
14880,
1385,
4515,
1357,
2413,
59342,
1523,
1377,
11519,
1358,
1758,
1379,
3797,
72,
1490,
1533,
12179,
2995,
1510,
1358,
19030,
72,
27952,
2327,
72,
1493,
2847,
72,
72,
72,
72,
1646,
1358,
3547,
1379,
1358,
2809,
1458,
14301,
2223,
6031,
1379,
23261,
1523,
10492,
1835,
1358,
4174,
1379,
1358,
1995,
40483,
72,
1507,
3532,
4025,
2003,
7250,
1385,
1645,
1358,
2809,
1457,
3295,
1384,
1875,
13956,
59342,
3429,
3985,
59342,
2003,
16128,
1358,
27862,
1379,
1358,
36367,
25448,
72,
3330,
2003,
5908,
1348,
24089,
1379,
1358,
16332,
15132,
72,
1826,
1523,
1919,
3249,
5076,
1384,
1919,
3249,
1458,
10147,
25448,
1910,
1358,
1995,
40483,
59361,
72,
2738,
1348,
14480,
2003,
1843,
2303,
1697,
1523,
4545,
72,
1826,
1523,
2560,
51553,
1951,
4364,
72,
1507,
7663,
7802,
15132,
32023,
1952,
1441,
7366,
1951,
4310,
1385,
2287,
1569,
6983,
1384,
23993,
1358,
57145,
1872,
2003,
35482,
6138,
11354,
72,
25603,
2032,
1684,
1944,
59342,
13252,
1520,
1358,
7802,
32023,
59342,
1952,
3859,
6138,
1469,
50698,
9386,
1510,
1383,
14034,
72,
5082,
47567,
16903,
1358,
34525,
1643,
1952,
1441,
8603,
1508,
5865,
1519,
59342,
1384,
1766,
10370,
1952,
49598,
1441,
1377,
1358,
8512,
1379,
13956,
1421,
2367,
72,
11658,
59342,
1358,
3532,
4025,
1952,
2889,
7802,
21059,
1421,
1875,
24540,
72,
1646,
1919,
1753,
1910,
4173,
2291,
44188,
1384,
8976,
1432,
11354,
1952,
59399,
59345,
59370,
59381,
59400,
1441,
16324,
1385,
1983,
59339,
1842,
36367,
24193,
1457,
3427,
2661,
2885,
72,
1507,
2809,
1952,
1441,
3374,
1385,
20617,
6288,
72,
1826,
1952,
1441,
16324,
1385,
1675,
1733,
72,
2738,
1536,
1523,
1358,
14024,
1379,
1358,
3532,
4025,
2493,
1358,
2809,
2286,
1573,
3771,
5047,
2849,
1384,
5047,
4566,
59329,
8288,
1520,
36314,
1525,
1348,
30939,
15708,
72,
1507,
11190,
3130,
8091,
59320,
59345,
59344,
59320,
59381,
59373,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
5418,
1369,
15343,
1707,
1525,
1645,
7620,
72,
1507,
36367,
25448,
1523,
14079,
1384,
2336,
2286,
1441,
1983,
1907,
72,
38018,
1645,
1358,
2809,
1952,
1441,
4580,
1450,
7802,
21059,
72,
1826,
1523,
5834,
1421,
1645,
1358,
2809,
1385,
1441,
9404,
1384,
9404,
1476,
1952,
1441,
72,
1900,
1523,
1358,
2434,
1697,
2563,
1645,
1358,
2809,
1396,
59392,
6169,
59342,
4719,
1573,
4681,
1510,
15422,
2493,
34525,
1643,
2911,
26851,
1348,
17144,
1789,
1379,
1358,
11354,
72,
3163,
1645,
1358,
2809,
1523,
30080,
1421,
24479,
1379,
1358,
5418,
1476,
2003,
2042,
4430,
72,
26657,
3389,
2003,
1919,
2213,
1733,
9495,
15918,
1641,
72,
2063,
1570,
1718,
1450,
1368,
2847,
2493,
2024,
1544,
7640,
2533,
2995,
1523,
1733,
2339,
22875,
1467,
1385,
1441,
5738,
56985,
34087,
72,
1826,
1523,
1573,
7978,
1377,
1358,
3597,
1544,
11160,
2524,
6138,
72,
2972,
1727,
11773,
25648,
14122,
8549,
2438,
1384,
1887,
1385,
1383,
5697,
1348,
3282,
2957,
1450,
3378,
72,
2972,
1727,
3155,
13793,
1377,
19030,
72,
3163,
2024,
1358,
25648,
14122,
4910,
2563,
26657,
3389,
1713,
3160,
1450,
17833,
2327,
72,
1507,
25648,
14122,
1727,
1379,
10649,
3441,
2487,
72,
2972,
1727,
11522,
7138,
1367,
1432,
1348,
2489,
16645,
59339,
3597,
72,
3330,
1727,
1379,
3441,
30940,
72,
2972,
1523,
1919,
3597,
10370,
1377,
1358,
17509,
59342,
1696,
1887,
1523,
1348,
2566,
63,
15152,
32985,
1899,
1712,
59342,
6436,
1421,
32514,
72,
1826,
1523,
1379,
1358,
4279,
2086,
1520,
11444,
1385,
3370,
17898,
49793,
1951,
19892,
72,
26657,
3389,
2478,
11883,
1932,
43767,
59342,
1384,
1457,
1476,
2086,
1358,
1715,
7098,
45255,
1421,
8376,
29903,
72,
1646,
1358,
1399,
2146,
1379,
1358,
36314,
1525,
16797,
3597,
1887,
1523,
6811,
1525,
16797,
3597,
72,
2972,
1523,
6811,
1377,
3089,
1697,
1523,
36367,
1508,
1694,
39585,
1434,
1508,
6219,
63,
1443,
44231,
72,
2738,
26657,
3389,
2563,
1377,
1522,
1374,
6645,
2955,
3493,
11771,
2493,
1544,
7640,
1450,
10147,
11848,
59399,
59345,
59370,
59387,
59400,
1499,
1384,
4505,
1961,
1457,
1887,
3946,
2003,
1843,
5729,
1525,
16797,
3597,
1510,
1536,
9297,
72,
2972,
1727,
1919,
57145,
72,
2972,
3946,
2003,
1843,
72,
2738,
1358,
13197,
1523,
1753,
6516,
56311,
1705,
59327,
4202,
1910,
1358,
1564,
2736,
2003,
1843,
72,
9848,
1536,
2286,
3341,
1358,
3987,
1379,
1358,
2809,
72,
1900,
1523,
1458,
5716,
1385,
8598,
1358,
2652,
7092,
1432,
11354,
1377,
1726,
6718,
1998,
72,
26202,
1611,
2003,
40270,
1467,
2635,
63,
23109,
39729,
1733,
1457,
6263,
1952,
8598,
3292,
1940,
1516,
3839,
2596,
1932,
2407,
8849,
27775,
5449,
3388,
1385,
2111,
1384,
4780,
45670,
5564,
1525,
6491,
72,
1826,
1523,
7089,
24542,
59342,
1379,
3884,
72,
2426,
17336,
6029,
1520,
16332,
37307,
1377,
1358,
2071,
1379,
3987,
36127,
1952,
9778,
2135,
1364,
3984,
1520,
6263,
72,
40803,
1348,
3441,
25445,
2407,
59342,
1825,
3817,
4291,
4443,
2286,
10878,
11354,
1385,
1594,
29563,
2524,
6138,
1457,
25445,
59361,
59328,
11436,
1385,
3659,
2054,
1384,
1766,
29683,
1951,
3537,
1483,
1359,
2222,
5845,
72,
2426,
6029,
3263,
1385,
1441,
1520,
11444,
1384,
6138,
11444,
3094,
7675,
2002,
1358,
2809,
59361,
59328,
2652,
7092,
1377,
1697,
2291,
5503,
4562,
3427,
8554,
72,
3721,
32083,
1498,
1597,
3328,
1510,
1358,
8257,
2286,
4906,
3304,
2135,
1364,
3984,
72,
3163,
1796,
1358,
6029,
1727,
14880,
1385,
1441,
1525,
3597,
59342,
2110,
3295,
21059,
1384,
46728,
1952,
1441,
8571,
3292,
36314,
1697,
1727,
1919,
1753,
1910,
1414,
24699,
72,
26657,
3389,
7366,
5649,
72,
11362,
1544,
2286,
2127,
1358,
7826,
1467,
1476,
6004,
6288,
2438,
72,
10046,
1471,
6390,
1659,
1421,
58128,
2147,
1441,
3370,
21022,
59342,
1796,
1476,
3638,
1421,
3516,
48408,
1385,
1536,
2506,
1379,
3628,
72,
3163,
1476,
2579,
1573,
72,
1420,
3304,
1384,
29000,
57352,
1421,
2100,
3577,
7061,
1358,
3516,
1358,
6870,
1447,
1379,
10235,
63,
48973,
1367,
42316,
1952,
3376,
1441,
5278,
2336,
72,
2738,
26657,
3389,
7366,
1432,
1384,
48443,
1385,
2661,
1476,
72,
2063,
6651,
1385,
1361,
30606,
2524,
25773,
10007,
1358,
15588,
59342,
53583,
1457,
1887,
1727,
1895,
26407,
1377,
1859,
7537,
1379,
1358,
3616,
10346,
72,
2522,
3268,
59342,
2009,
15588,
2286,
1441,
9977,
1520,
13721,
28341,
72,
1507,
2354,
2579,
1573,
7782,
1385,
26657,
3389,
72,
2063,
1523,
1573,
3041,
40740,
1520,
1358,
59399,
59345,
59370,
59384,
59400,
22742,
1379,
1358,
25445,
59361,
59328,
1726,
6718,
1998,
1733,
4258,
1467,
3827,
15210,
1523,
14202,
72,
2063,
5175,
59361,
59323,
2629,
1379,
1476,
72,
2063,
7366,
1432,
72,
2063,
31957,
3679,
1358,
3378,
1367,
2957,
72,
2063,
2579,
1573,
5694,
59342,
1544,
1361,
3173,
2350,
72,
2063,
6651,
1385,
12770,
1450,
1368,
2847,
63,
1909,
1370,
4117,
1367,
31209,
72,
2442,
1544,
2286,
1748,
4781,
1385,
1457,
8377,
32985,
59342,
4781,
4708,
1385,
2032,
56189,
1932,
7098,
11865,
11989,
72,
72,
72,
72,
5,
5,
4254,
3130,
8091,
59320,
59345,
59344,
5,
5,
59387,
59344,
5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
1379,
29075,
1408,
3826,
59342,
1520,
30226,
3013,
3881,
1349,
72,
4441,
1952,
1441,
1510,
4586,
57352,
1384,
28858,
2377,
72,
2442,
1358,
32985,
59361,
59328,
11865,
14117,
59341,
1712,
5228,
1379,
26449,
1467,
10818,
59342,
1476,
1952,
3495,
14500,
1394,
1446,
1358,
4598,
72,
1826,
1952,
57214,
1707,
2291,
5503,
43650,
2671,
72,
3163,
1887,
1952,
1441,
25269,
3428,
1520,
1358,
38210,
72,
2972,
1952,
1441,
2242,
2453,
1359,
72,
2972,
1952,
1441,
48987,
1533,
72,
2738,
1457,
48987,
1533,
1384,
2608,
2242,
2453,
1359,
1952,
1441,
54239,
1466,
1622,
3556,
3441,
72,
1507,
2652,
7092,
1432,
11354,
3427,
1573,
1441,
33340,
59342,
1696,
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1358,
17111,
1476,
1952,
1441,
28998,
3292,
6263,
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59328,
7578,
25445,
1384,
1573,
3292,
36250,
57145,
72,
1826,
1523,
7179,
31528,
1385,
17520,
2478,
1457,
72,
3163,
58128,
72,
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72,
72,
26657,
3389,
59361,
59328,
6395,
1523,
40369,
6713,
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1385,
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1358,
10498,
1369,
2521,
72,
2063,
48658,
15563,
72,
2063,
9712,
1358,
1368,
5362,
1981,
1825,
3817,
1379,
1358,
31261,
28341,
72,
3330,
1727,
4258,
4462,
72,
2972,
1727,
11771,
1379,
34476,
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1358,
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9281,
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72,
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1523,
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72,
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1715,
6380,
72,
1826,
1523,
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1506,
2012,
1597,
72,
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1348,
20247,
1384,
46668,
5002,
1443,
1371,
72,
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4505,
30946,
27342,
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1476,
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27342,
72,
2063,
1361,
3173,
2350,
1432,
72,
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1523,
8808,
25146,
59342,
2002,
1385,
1859,
3428,
72,
5878,
1476,
15496,
72,
1826,
2286,
1441,
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1782,
1432,
6092,
3292,
2995,
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35382,
1859,
4310,
72,
26657,
3389,
14704,
3846,
59342,
1384,
2110,
5530,
1432,
1450,
2478,
6039,
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72,
2063,
10492,
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5092,
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1859,
5157,
72,
1507,
5002,
1443,
1371,
9012,
72,
30912,
1434,
26657,
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16708,
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1523,
1348,
3441,
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72,
1826,
1523,
54247,
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1865,
2232,
1359,
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1421,
2995,
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24096,
6141,
72,
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30976,
1348,
8825,
11166,
1457,
2003,
2636,
23994,
6593,
72,
1507,
23994,
6593,
15748,
1377,
1584,
11913,
1384,
1544,
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1551,
1367,
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36646,
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21136,
72,
1507,
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1443,
1371,
6847,
1384,
5530,
1432,
72,
26657,
3389,
33980,
9930,
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5813,
72,
12180,
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2995,
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29521,
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72,
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31038,
1888,
59342,
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5998,
27197,
1510,
1645,
72,
26657,
3389,
59361,
59328,
34824,
1712,
1358,
24639,
2003,
30058,
2054,
1379,
1358,
40109,
2714,
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29100,
59342,
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3999,
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3138,
72,
3330,
1727,
13406,
1421,
2995,
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72,
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2009,
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1973,
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1465,
1432,
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72,
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1371,
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1358,
6141,
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32985,
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1358,
10462,
6847,
2517,
72,
5878,
1544,
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29077,
72,
1507,
10462,
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16033,
1385,
2995,
73,
9425,
1371,
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2258,
73,
1496,
20839,
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73,
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73,
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73,
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73,
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73,
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11190,
3130,
8091,
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27811,
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2003,
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5175,
59361,
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72,
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59361,
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59342,
26657,
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72,
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10217,
59361,
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28932,
1698,
73,
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1707,
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5577,
72,
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72,
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2160,
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73,
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3122,
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14819,
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2003,
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1523,
72,
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1441,
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15548,
72,
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73,
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72,
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74,
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1350,
74,
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1457,
59342,
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1385,
15327,
2995,
74,
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6092,
1465,
1432,
1358,
34528,
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74,
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72,
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72,
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59361,
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73,
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2422,
72,
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3114,
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2002,
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2003,
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21542,
72,
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72,
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1450,
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1533,
72,
5878,
1358,
1933,
10462,
8108,
59342,
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20839,
3389,
73,
26657,
3389,
73,
7063,
59361,
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73,
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1571,
1441,
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72,
2292,
59361,
1699,
16167,
1863,
10462,
72,
2292,
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1385,
1664,
1432,
1358,
21589,
1525,
4638,
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72,
59354,
1900,
10462,
12861,
59342,
3848,
1421,
3848,
1384,
1650,
1350,
1409,
1421,
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1350,
1409,
59342,
7061,
2024,
1476,
2003,
2264,
2533,
72,
1507,
1875,
30989,
6603,
1377,
1358,
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72,
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1727,
1346,
12327,
72,
1646,
26657,
3389,
59361,
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2506,
1379,
5365,
59342,
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1346,
18736,
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4462,
1645,
18230,
1525,
1358,
30989,
72,
58128,
59342,
1377,
3825,
59342,
6380,
1367,
1467,
2271,
3427,
1580,
1796,
58586,
2003,
1843,
2086,
1385,
4855,
2100,
1601,
1384,
6187,
2100,
1385,
3255,
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2100,
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72,
3308,
2286,
1573,
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1842,
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1951,
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1843,
13789,
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1358,
4290,
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2100,
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1698,
1727,
19577,
72,
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1952,
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1441,
2370,
2118,
1367,
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72,
3030,
1379,
1476,
72,
2738,
58128,
1952,
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25870,
1385,
26657,
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2478,
1796,
1828,
3946,
7640,
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1875,
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25870,
1421,
1358,
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20817,
23220,
1457,
1952,
57214,
1536,
2885,
4802,
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5503,
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72,
26657,
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25146,
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1859,
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72,
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27102,
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72,
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1877,
23994,
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2596,
1358,
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36332,
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72,
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11344,
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29530,
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72,
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19435,
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48875,
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15135,
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11255,
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26657,
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1851,
11932,
1508,
1872,
2310,
2003,
2563,
1358,
37569,
72,
11190,
3130,
8091,
59320,
59345,
59344,
59320,
59387,
59349,
5,
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6900,
55117,
27811,
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1862,
3649,
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1843,
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1384,
15764,
12961,
1384,
1358,
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1523,
1463,
9557,
72,
3330,
24953,
2995,
1450,
1348,
4505,
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1546,
3791,
1697,
1523,
1573,
1358,
7817,
1379,
3569,
28932,
1698,
1508,
1995,
40483,
72,
1496,
4221,
59361,
1412,
1843,
15760,
1457,
3515,
5810,
59342,
26657,
3389,
2620,
2264,
1358,
3739,
45556,
72,
1496,
4453,
59361,
59328,
4795,
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12707,
73,
3055,
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3162,
1910,
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1939,
63,
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1450,
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16332,
37307,
73,
34496,
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73,
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1675,
1449,
2127,
2024,
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3914,
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2809,
56201,
1554,
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1412,
1843,
30746,
1525,
3597,
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1384,
1450,
1807,
2407,
2087,
1379,
11190,
3130,
8091,
59320,
59345,
59344,
59320,
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5,
5,
2219,
6900,
55117,
27811,
1401,
14031,
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9318,
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5433,
59342,
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32985,
5802,
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2738,
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11190,
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8091,
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59344,
59320,
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5,
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6900,
55117,
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3255,
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1882,
1544,
6575,
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1664,
74,
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1496,
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2620,
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2738,
1828,
1580,
72,
1417,
44309,
6645,
1449,
59342,
41050,
3493,
72,
6183,
1980,
1835,
44309,
9991,
1664,
74,
59354,
1507,
32985,
4870,
2002,
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5530,
4462,
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72,
1900,
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72,
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1523,
54515,
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15967,
1457,
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2262,
1389,
20817,
34525,
1643,
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1525,
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1766,
38972,
44373,
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31692,
1520,
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3427,
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19952,
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1951,
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2718,
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1697,
1983,
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16332,
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2054,
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1645,
1358,
2809,
72,
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6039,
33794,
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4025,
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5997,
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1421,
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1671,
3292,
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2104,
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27036,
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9293,
2524,
1377,
4364,
1385,
1358,
3266,
1379,
1348,
5043,
1379,
51327,
72,
16180,
1371,
2024,
1828,
2286,
1675,
59342,
1828,
49413,
2362,
7298,
1434,
1385,
2198,
2024,
1952,
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2
] |
<s> OPERATION TERROR
Murray Leinster
[5]
CHAPTER 1
On the morning the radar reported something odd out in space, Lockley awoke at about twenty minutes to eight. That was usual. He'd slept in a sleeping bag on a mountain-flank with other mountains all around. That was not unprecedented. He was there to make a base line measurement for a detailed map of the Boulder Lake National Park, whose facilities were now being built. Measuring a base line, even with the newest of electronic apparatus, was more or less a commonplace job for Lockley. This morning, though, he woke and realized gloomily that he'd dreamed about Jill Holmes again, which was becoming a habit he ought to break. He'd only met her four times and she was going to marry somebody else. He had to stop. He stirred, preparatory to getting up. At the same moment, certain things were happening in places far away from him. As yet, no unusual object in space had been observed. That would come later. But far away up at the Alaskan radar complex a man on duty watch was relieved by another. The relief man took over the monitoring of the giant, football-field-sized radar antenna that recorded its detections on magnetic tape. It happened that on this particular morning only one other radar watched the skies along a long stretch of the Pacific Coast. There was the Alaskan installation, and the other was in Oregon. [6]It was extremely unusual for only those two to be operating. The people who knew about it, or most of them, thought that official orders had somehow gone astray. Where the orders were issued, nothing out of the ordinary appeared. All was normal, for example, in the Military Information Center in Denver. The Survey saw nothing unusual in Lockley's being at his post, and other men at places corresponding to his in the area which was to become Boulder Lake National Park. It also seemed perfectly natural that there should be bulldozer operators, surveyors, steelworkers, concrete men and so on, all comfortably at breakfast in the construction camp for the project. Everything seemed normal everywhere. Up to the time the Alaskan installation reported something strange in space, the state of things generally was neither alarming nor consoling. But at 8:02 a.m. Pacific time, the situation changed. At that time Alaska reported an unscheduled celestial object of considerable size, high out of atmosphere and moving with surprising slowness for a body in space. Its course was parabolic and it would probably land somewhere in South Dakota. It might be a bolide—a large, slow-moving meteorite. It wasn't likely, but the entire report was improbable. The message reached the Military Information Center in Denver at 8:05 a.m. By 8:06 it had been relayed to Washington and every plane on the Pacific Coast was ordered aloft. The Oregon radar unit reported the same object at 8:07 a.m. It said the object was seven hundred fifty miles high, four hundred miles out at sea, and was headed toward the Oregon coastline, moving northwest to southeast. There was no major city in its line of OPERATION TERROR 1
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. travel. The impact point computed by the Oregon station was nowhere near South Dakota. As other [7]computations followed other observations, a second place of fall was calculated, then a third. Then the Oregon radar unbelievably reported that the object was decelerating. Allowing for deceleration, three successive predictions of its landing point agreed. The object, said these calculations, would come to earth somewhere near Boulder Lake, Colorado, in what was to become a national park. Impact time should be approximately 8:14 a.m. These events followed Lockley's awakening in the wilds, but he knew nothing of any of them. He himself wasn't near the lake, which was to be the center of a vacation facility for people who liked the outdoors. The lake was almost circular and was a deep, rich blue. It occupied what had been the crater of a volcano millions of years ago. Already bulldozers had ploughed out roads to it through the forest. Men worked with graders and concrete mixers on highways and on bridges across small rushing streams. There was a camp for them. A lakeside hotel had been designed and stakes were driven in the ground where its foundation would eventually be poured. There were infant big-mouthed bass in the lake and fingerling trout in many of the streams. A huge Wild Life Control trailer-truck went grumbling about such trails as were practical, attending to these matters. Yesterday Lockley had seen it gleaming in bright sunshine as it moved toward Boulder Lake on the highway nearest to his station. But that was yesterday. This morning he awoke under a pale gray sky. There was complete cloud cover overhead. He smelled conifers and woods-mould and mountain stone in the morning. He heard the faint sound of tree branches moving in the wind. He noted the cloud cover. The clouds were high, though. The air at ground level was perfectly transparent. He turned his head and saw a prospect that[8] made being in the wilderness seem entirely reasonable and satisfying. Mountains reared up in every direction. A valley lay some thousands of feet below him, and beyond it other valleys, and somewhere a stream rushed white water to an unknown destination. Not many wake to such a scene. Lockley regarded it, but without full attention. He was preoccupied with thoughts of Jill Holmes, and unfortunately she was engaged to marry Vale, who was also working in the park some thirty miles to the northeast, near Boulder Lake itself. Lockley didn't know him well since he was new in the Survey. He was up there to the northeast with an electronic survey instrument like Lockley's and on the same job. Jill had an assignment from some magazine or other to write an article on how national parks are born, and she was staying at the construction camp to gather material. She'd learned something from Vale and much from the engineers while Lockley had tried to think of interesting facts himself. He'd failed. When he thought about her, he thought about the fact that she was engaged to Vale. That was an unhappy thought. Then he tried to stop thinking about her altogether. But his mind somehow lingered on the subject. At ten minutes to eight Lockley began to dress, wilderness fashion. He began by putting on his hat. It had lain on the pile of garments by his bed. Then he donned the rest of his garments in the exact reverse of the order in which he'd removed them. At 8:00 he had a small fire going. He had no premonition that anything out of the ordinary was going to happen that day. This was still before the first Alaskan report. At 8:10 he had bacon sizzling and a small coffeepot almost enveloped by the flames. Events occurred and he knew nothing at[9] all about them. For example, the Military Information Center had been warned of what was later privately called Operation Terror while Lockley was still tranquilly cooking breakfast and thinking—frowning a little—about Jill. Naturally he knew nothing of emergency orders sending all planes aloft. He wasn't informed about something reported in space and apparently headed for an impact point at Boulder Lake. As the computed impact time arrived, Lockley obliviously dumped coffee into his tin coffeepot and put it back on the flames. CHAPTER 1 2
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. At 8:13 instead of 8:14—this information is from the tape records—there was an extremely small earth shock recorded by the Berkeley, California, seismograph. It was a very minor shock, about the intensity of the explosion of a hundred tons of high explosive a very long distance away and barely strong enough to record its location, which was Boulder Lake. The cause of that explosion or shock was not observed visually. There'd been no time to alert observers, and in any case the object should have been out of atmosphere until the last few seconds of its fall, and where it was reported to fall the cloud cover was unbroken. So nobody reported seeing it. Not at once, anyhow, and then only one man. Lockley did not feel the impact. He was drinking a cup of coffee and thinking about his own problems. But a delicately balanced rock a hundred yards below his camp site toppled over and slid downhill. It started a miniature avalanche of stones and rocks. The loose stuff did not travel far, but the original balanced rock bounced and rolled for some distance before it came to rest. Echoes rolled between the hillsides, but they were not very loud and they soon ended. Lockley guessed[10] automatically at half a dozen possible causes for the small rock-slide, but he did not think at all of an unperceived temblor from a shock like high explosives going off thirty miles away. Eight minutes later he heard a deep-toned roaring noise to the northeast. It was unbelievably low-pitched. It rolled and reverberated beyond the horizon. The detonation of a hundred tons of high explosives or an equivalent impact can be heard for thirty miles, but at that distance it doesn't sound much like an explosion. He finished his breakfast without enjoyment. By that time well over three-quarters of the Air Force on the Pacific Coast was airborne and more planes shot skyward instant after instant. Inevitably the multiplied air traffic was noted by civilians. Reporters began to telephone airbases to ask whether a practice alert was on, or something more serious. Such questions were natural, these days. All the world had the jitters. To the ordinary observer, the prospects looked bad for everything but disaster. There was a crisis in the United Nations, which had been reorganized once and might need to be shuffled again. There was a dispute between the United States and Russia over satellites recently placed in orbit. They were suspected of carrying fusion bombs ready to dive at selected targets on signal. The Russians accused the Americans, and the Americans accused the Russians, and both may have been right. The world had been so edgy for so long that there were fallout shelters from Chillicothe, Ohio, to Singapore, Malaya, and back again. There were permanent trouble spots at various places where practically anything was likely to happen at any instant. The people of every nation were jumpy. There was constant pressure on governments and on political parties so that all governments looked shaky and all[11] parties helpless. Nobody could look forward to a peaceful old age, and most hardly hoped to reach middle age. The arrival of an object from outer space was nicely calculated to blow the emotional fuses of whole populations. But Lockley ate his breakfast without premonitions. Breezes blew and from every airbase along the coast fighting planes shot into the air and into formations designed to intercept anything that flew on wings or to launch atom-headed rockets at anything their radars could detect that didn't. At eight-twenty, Lockley went to the electronic base line instrument which he was to use this morning. It was a modification of the devices used to clock artificial satellites in their orbits and measure their distance within inches from hundreds of miles away. The purpose was to make a really accurate map of the park. There were other instruments in other line-of-sight positions, very far away. Lockley's schedule called for them to measure their distances from each other some time this morning. Two were carefully placed on bench marks of the continental grid. In twenty minutes or so of cooperation, the distances of six such instruments could be measured with astonishing precision and tied in to the bench marks already scattered over the continent. CHAPTER 1 3
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Presently photographing planes would fly overhead, taking overlapping pictures from thirty thousand feet. They would show the survey points and the measurements between them would be exact, the photos could be used as stereo-pairs to take off contour lines, and in a few days there would be a map—a veritable cartographer's dream for accuracy and detail. That was the intention. But though Lockley hadn't heard of it yet, something was reported to have landed from space, and a shock like an impact[12] was recorded, and all conditions would shortly be changed. It would be noted from the beginning, however, that an impact equal to a hundred-ton explosion was a very small shock for the landing of a bolide. It would add to the plausibility of reported deceleration, though, and would arouse acute suspicion. Justly so. At 8:20, Lockley called Sattell who was southeast of him. The measuring instruments used microwaves and gave readings of distance by counting cycles and reading phase differences. As a matter of convenience the microwaves could be modulated by a microphone, so the same instrument could be used for communication while measurements went on. But the microwaves were directed in a very tight beam. The device had to be aimed exactly right and a suitable reception instrument had to be at the target if it was to be used at all. Also, there was no signal to call a man to listen. He had to be listening beforehand, and with his instrument aimed right, too. So Lockley flipped the modulator switch and turned on the instrument. He said patiently, "Calling Sattell. Calling Sattell. Lockley calling Sattell." He repeated it some dozens of times. He was about to give it up and call Vale instead when Sattell answered. He'd slept a little later than Lockley. It was now close to nine o'clock. But Sattell had expected the call. They checked the functioning of their instruments against each other. "Right!" said Lockley at last. "I'll check with Vale and on out of the park, and then we'll put it all together and wrap it up and take it home." Sattell agreed. Lockley, rather absurdly, felt uncomfortable because he was going to have to talk to Vale. He had nothing against the man, but Vale[13] was, in a way, his rival although Jill didn't know of his folly and Vale could hardly guess it. He signed off to Sattell and swung the base line instrument to make a similar check with Vale. It was now ten minutes after nine. He aligned the instrument accurately, flipped the switch, and began to say as patiently as before, "Calling Vale. Calling Vale. Lockley calling Vale. Over." He turned the control for reception. Vale's voice came instantly, scratchy and hoarse and frantic. "Lockley! Listen to me! There's no time to tell me anything. I've got to tell you. Something came down out of the sky here nearly an hour ago. It landed in Boulder Lake, and at the last instant there was a terrific explosion and a monstrous wave swept up the shores of the lake. The thing that came down vanished under water. I saw it, Lockley!" Lockley blinked. "Wha-a-at?" "A thing came down out of the sky!" panted Vale. "It landed in the lake with a terrific explosion. It went under. Then it came up to the surface minutes later. It floated. It stuck things up and out of itself, pipes or wires. Then it moved around the lake and came in to the shore. A thing like a hatch opened and ... creatures got out of it. Not men!"
CHAPTER 1
4
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Lockley blinked again. "Look here—" "Dammit, listen!" said Vale shrilly, "I'm telling you what I've seen. Things out of the sky. Creatures that aren't men. They landed and set up something on the shore. I don't know what it is. Do you understand? The thing is down there in the lake now. Floating. I can see it!" Lockley swallowed. He couldn't believe this immediately. He knew nothing of radar reports or the seismograph record. He'd seen a barely balanced rock roll down the mountainside below him, and he'd heard a growling bass rumble behind the horizon,[14] but things like that didn't add up to a conclusion like this! His first conviction was that Vale was out of his head. "Listen," said Lockley carefully. "There's a short wave set over at the construction camp. They use it all the time for orders and reports and so on. You go there and report officially what you've seen. To the Park Service first, and then try to get a connection through to the Army." Vale's voice came through again, at once raging and despairing, "They won't believe me. They'll think I'm a crackpot. You get the news to somebody who'll investigate. I see the thing, Lockley. I can see it now. At this instant. And Jill's over at the construction camp—" Lockley was unreasonably relieved. If Jill was at the camp, at least she wasn't alone with a man gone out of his mind. The reaction was normal. Lockley had seen nothing out of the ordinary, so Vale's report seemed insane. "Listen here!" panted Vale again. "The thing came down. There was a terrific explosion. It vanished. Nothing happened for a while. Then it came up and found a place where it could come to shore. Things came out of it. I can't describe them. They're motes even in my binoculars. But they aren't human! A lot of them came out. They began to land things. Equipment. They set it up. I don't know what it is. Some of them went exploring. I saw a puff of steam where something moved. Lockley?" "I'm listening," said Lockley. "Go on!" "Report this!" ordered Vale feverishly. "Get it to Military Information in Denver, or somewhere! The party of creatures that went off exploring hasn't come back. I'm watching. I'll report whatever I see. Get this to the government. This is real. I can't believe it, but I see it. Report it, quick!"[15] His voice stopped. Lockley painfully realigned the instrument again for Sattell, thirty miles to the southeast. Sattell surprisingly answered the first call. He said in an astonished voice, "Hello! I just got a call from Survey. It seems that the Army knew there was a Survey team in here, and they called to say that radars had spotted something coming down from space, right after eight o'clock. They wanted to know if any of us supposedly sane observers noticed anything peculiar about that time." Lockley's scalp crawled suddenly. Vale's report had disturbed him, but more for the man's sanity than anything else. But it could be true! And instantly he remembered that Jill was very near the place where frighteningly impossible things were happening. "Vale just told me," said Lockley, his voice unsteady, "that he saw something come down. His story was so wild I didn't believe it. But you pass it on and say that Vale's watching it. He's waiting for instructions. He'll report everything he sees. I'm thirty miles from him, but he can see the thing that came down. Maybe the creatures in it can see him. Listen!"
CHAPTER 1
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He repeated just what Vale had told him. Somehow, telling it to someone else, it seemed at once even less real but more horrifying as a possible danger to Jill. It didn't strike him forcibly that other people were endangered, too. When Sattell signed off to forward the report, Lockley found himself sweating a little. Something had come down out of space. The fact seemed to him dangerous and appalling. His mind revolted at the idea of non-human creatures who could build ships and travel through space, but radars had reported the arrival of a ship, and there were official inquiries that nearly matched Vale's account, which was there[16]fore not a mere crackpot claim to have seen the incredible. Something had happened and more was likely to, and Jill was in the middle of it. He swung the instrument back to Vale's position. His hands shook, though a part of his mind insisted obstinately that alarms were commonplace these days, and in common sense one had to treat them as false cries of "Wolf!" But one knew that some day the wolf might really come. Perhaps it had.... Lockley found it difficult to align the carrier beam to Vale's exact location. He assured himself that he was a fool to be afraid; that if disaster were to come it would be by the imbecilities of men rather than through creatures from beyond the stars. And therefore.... But there were other men at other places who felt less skepticism. The report from Vale went to the Military Information Center and thence to the Pentagon. Meanwhile the Information Center ordered a photo-reconnaissance plane to photograph Boulder Lake from aloft. In the Pentagon, hastily alerted staff officers began to draft orders to be issued if the report of two radars and one eye-witness should be further substantiated. There were such-and-such trucks available here, and such-and-such troops available there. Complicated paper work was involved in the organization of any movement of troops, but especially to carry out a plan not at all usual in the United States. Everything, though, depended on what the reconnaissance plane photographs might show. Lockley did not see the plane nor consciously hear it. There was the faintest of murmuring noises in the sky. It moved swiftly toward the north, tending eastward. The plane that made the noise was invisible. It flew above the cloud cover which still blotted out nearly all the blue overhead. It went on and on[17] and presently died out beyond the mountains toward Boulder Lake. Lockley tried to get Vale back, to tell him that radars had verified his report and that it would be acted on by the military. But though he called and called, there was no answer. An agonizingly long time later the faint and disregarded sound of the plane swept back across the heavens. Lockley still did not notice it. He was too busy with his attempts to reach Vale again, and with grisly imaginings of what might be done by aliens from another world when they found the workmen near the lake—and Jill among them. He pictured alien monsters committing atrocities in what they might consider scientific examination of terrestrial fauna. But somehow even that was less horrible than the images that followed an assumption that the occupants of the spaceship might be men. "Calling Vale ... Vale, come in!" He fiercely repeated the call into the instrument's microphone. "Lockley calling Vale! Come in, man! Come in!" He flipped the switch and listened. And Vale's voice came. "I'm here." The voice shook. "I've been trying to find where that exploring party went."
CHAPTER 1
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Lockley threw the speech switch and said sharply, "The Army asked Survey if any of us had seen anything come down from the sky. I gave Sattell your report to be forwarded. It's gone to the Pentagon now. Two radars reported tracking the thing down to a landing near you. Now listen! You go to the construction camp. Most likely they'll get orders to clear out, by short wave. But you go there! Make sure Jill's all right. See her to safety." The switch once more. Vale's voice was desperate. "A ... while ago a party of the creatures started away from the lake. An exploring party, I think. Once I saw a puff of steam as if they'd used a weapon. I'm afraid they may find the construction camp, and Jill...." [18] Lockley ground his teeth. Vale said unsteadily, "I ... can't find where they went.... A little while ago their ship backed out into the lake and sank. Deliberately! I don't know why. But there's a party of those ... creatures out exploring! I don't know what they'll do...." Lockley said savagely, "Get to the camp and look after Jill! The workmen may have panicked. The Army'll know by this time what's happened. They'll send copters to get you out. They'll send help of some sort, somehow. But you look after Jill!" Vale's voice changed. "Wait. I heard something. Wait!" Silence. Around Lockley there were the usual sounds of the wilderness. Insects made chirping noises. Birds called. There were those small whispering and rustling and high-pitched sounds which in the wild constitute stillness. A scraping sound from the speaker. Vale's voice, frantic. "That ... exploring party. It's here! They must have picked up our beams. They're looking for me. They've sighted me! They're coming...." There was a crashing sound as if Vale had dropped the communicator. There were pantings, and the sound of blows, and gasped profanity—horror-filled profanity—in Vale's voice. Then something roared. Lockley listened, his hands clenched in fury at his own helplessness. He thought he heard movements. Once he was sure he heard a sound like the unshod hoof of an animal on bare stone. Then, quite distinctly, he heard squeakings. He knew that someone or something had picked up Vale's communicator. More squeakings, somehow querulous. Then some[19]thing pounded the communicator on the ground. There was a crash. Then silence. Almost calmly Lockley swung his instrument around and lined it up for Sattell's post. He called in a steady voice until Sattell answered. He reported with meticulous care just what Vale had said, and what he'd heard after Vale stopped speaking—the roaring, the sound of blows and gasps, then the squeakings and the destruction of the instrument intended for the measurement of base lines for an accurate map of the Park. Sattell grew agitated. At Lockley's insistence, he wrote down every word. Then he said nervously that orders had come from Survey. The Army wanted everybody out of the Boulder Lake area. Vale was to have been ordered out. The workmen were ordered out. Lockley was to get out of the area as soon as possible. CHAPTER 1 7
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. When Sattell signed off, Lockley switched off the communicator. He put it where it would be relatively safe from the weather. He abandoned his camping equipment. A mile downhill and four miles west there was a highway leading to Boulder Lake. When the Park was opened to the public it would be well used, but the last traffic he'd seen was the big trailer-truck of the Wild Life Control service. That huge vehicle had gone up to Boulder Lake the day before. He made his way to the highway, following a footpath to the spot where he'd left his own car parked. He got into it and started the motor. He moved with a certain dogged deliberation. He knew, of course, that what he was going to do was useless. It was hopeless. It was possibly suicidal. But he went ahead. He headed northward, pushing the little car to its top speed. This was not following his instructions. He wasn't leaving the Park area. He was heading[20] for Boulder Lake. Jill was there and he would feel ashamed for all time if he acted like a sensible man and got to safety as he was ordered. Miles along the highway, something occurred to him. The base line instrument had to be aimed exactly right for Vale or Sattell to pick up his voice as carried by its beam. Vale's or Sattell's instruments had to be aimed as accurately to convey their voices to him. Yet after the struggle he'd overheard, and after Vale had been either subdued or killed, someone or something seemed to have picked up the communicator, and Lockley had heard squeakings, and then he had heard the instrument smashed. It was not easy to understand how the beam had been kept perfectly aligned while it was picked up and squeaked at. Still less was it understandable that it remained aimed just right so he could hear when it was flung down and crushed. But somehow this oddity did not change his feelings. Jill could be in danger from creatures Vale said were not human. Lockley didn't wholly accept that non-human angle, but something was happening there and Jill was in the middle of it. So he went to see about it for the sake of his self-respect. And Jill. It was not reasonable behavior. It was emotional. He didn't stop to question what was believable and what wasn't. Lockley didn't even give any attention to the problem of how a microwave beam could stay pointed exactly right while the instrument that sent it was picked up, and squeaked at, and smashed. He gave that particular matter no thought at all. He jammed down the accelerator of the car and headed for Boulder Lake.[21]
CHAPTER 2
The car was ordinary enough; it was one of those scaled-down vehicles which burn less fuel and offer less comfort than the so-called standard models. For fuel economy too, its speed had been lowered. But Lockley sent it up the brand-new highway as fast as it would go. Now the highway followed a broad valley with a meadow-like floor. Now it seemed to pick its way between cliffs, and on occasion it ran over a concrete bridge spanning some swiftly flowing stream. At least once it went through a cut which might as well have been a tunnel, and the crackling noise of its motor echoed back from stony walls on either side. He did not see another vehicle for a long way. Deer, he saw twice. Over and over again coveys of small birds rocketed up from beside the road and dived to cover after he had passed. Once he saw movement out of the corner of his eye and looked automatically to see what it was, but saw nothing. Which meant that it was probably a mountain lion, blending perfectly with its background as it watched the car. At the end of five miles he saw a motor truck, empty, trundling away from Boulder Lake and the construction camp toward the CHAPTER 2 8
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. outer world. The two vehicles passed, combining to make a momentary roaring noise at their nearest. The truck was not in a hurry. It simply lumbered along with loose objects in its cargo space rattling and bumping loudly. Its driver and his helper plainly knew nothing of untoward events behind them. They'd[22] probably stopped somewhere to have a leisurely morning snack, with the truck waiting for them at the roadside. Lockley went on ten miles more. He begrudged the distances added by curves in the road. He tended to fume when his underpowered car noticeably slowed up on grades, and especially the long ones. He saw a bear halfway up a hillside pause in its exploitation of a berry patch to watch the car go by below it. He saw more deer. Once a smaller animal, probably a coyote, dived into a patch of brushwood and stayed hidden as long as the car remained in sight. More miles of empty highway. And then a long, straight stretch of road, and he suddenly saw vehicles coming around the curve at the end of it. They were not in line, singlelane, as traffic usually is on a curve. Both lanes were filled. The road was blocked by motor-driven traffic heading away from the lake, and not at a steady pace, but in headlong flight. It roared on toward Lockley. Big trucks and little ones; passenger cars in between them; a few motorcyclists catching up from the rear by riding on the road's shoulders. They were closely packed, as if by some freak the lead had been taken by great trucks incapable of the road speed of those behind them, yet with the frantic rearmost cars unable to pass. There was a humming and roaring of motors that filled the air. They plunged toward Lockley's miniature roadster. Truck horns blared. Lockley got off the highway and onto the right-hand shoulder. He stopped. The crowded mass of rushing vehicles roared up to him and went past. They were more remarkable than he'd believed. There were dirt mover trucks. There were truck-and-trailer combinations. There were sedans and dump trucks and even a convertible or two, and then more[23] trucks—even tank trucks—and more sedans and half-tonners—a complete and motley collection of every kind of gasoline-driven vehicle that could be driven on a highway and used on a construction project. And every one was crowded with men. Trailer-trucks had their body doors open, and they were packed with the workmen of the construction camp near Boulder Lake. The sedans were jammed with passengers. Dirt mover trucks had men holding fast to handholds, and there were men in the backs of the dump trucks. The racing traffic filled the highway from edge to edge. It rushed past, giving off a deafening roar and clouds of gasoline fumes. They were gone, the solid mass of them at any rate. But now there came older cars, no less crowded, and then more spacious cars, not crowded so much and less frantically pushing at those ahead. But even these cars passed each other recklessly. There seemed to be an almost hysterical fear of being last. One car swung off to its left. There were five men in it. It braked and stopped on the shoulder close to Lockley's car. The driver shouted above the din of passing motors, "You don't want to go up there. Everybody's ordered out. Everybody get away from Boulder Lake! When you get the chance, turn around and get the hell away." He watched for a chance to get back on the road, having delivered his warning. Lockley got out of his car and went over, "You're talking about the thing that came down from the sky," he said grimly. "There was a girl up at the camp. Jill Holmes. Writing a piece about building a national park. Getting information about the job. Did anybody get her away?"
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. The man who'd warned him continued to watch for a reasonable gap in the flood of racing cars. They weren't crowded now as they had been, but it[24] was still impossible to start in low and get back in the stream of vehicles without an almost certain crash. Then he turned his head back, staring at Lockley. "Hell! Somebody told me to check on her. I was routing men out and loading 'em on whatever came by. I forgot!" A man in the back of the sedan said, "She hadn't left when we did. I saw her. But I thought she had a ride all set." The man at the wheel said furiously, "She hasn't passed us! Unless she's in one of these...." Lockley set his teeth. He watched each oncoming car intently. A girl among these fugitives would have been put with the driver in the cab of a truck, and he'd have seen a woman in any of the private cars. "If I don't see her go by," he said grimly, "I'll go up to the camp and see if she's still there." The man in the driver's seat looked relieved. "If she's left behind, it's her fault. If you hunt for her, make it fast and be plenty careful. Keep to the camp and stay away from the lake. There was a hell of an explosion over there this morning. Three men went to see what'd happened. They didn't come back. Two more went after 'em, and something hit them on the way. They smelled something worse than skunk. Then they were paralyzed, like they had hold of a high-tension line. They saw crazy colors and heard crazy sounds and they couldn't move a finger. Their car ditched. In a while they came out of it and they came back—fast! They'd just got back when we got short wave orders for everybody to get out. If you look for that girl, be careful. If she's still there, you get her out quick!" Then he said sharply, "Here's a chance for us to get going. Move out of the way!" There was a gap in the now diminishing spate of[25] cars. The driver of the stopped car drove furiously onto the highway. He shifted gears and accelerated at the top of his car's power. Another car behind him braked and barely avoided a crash while blowing its horn furiously. Then the traffic went on. But it was lessening now. It was mostly private cars, owned by the workmen. Suddenly there were no cars coming down the long straight stretch of road. Lockley got back on the highway and resumed his rush toward the spot the others fled from. He heard behind him the diminishing rumble and roar of the fugitive motors. He jammed his own accelerator down to the floor and plunged on. There'd been an explosion by the lake, the man who'd warned him said. That checked. Three men went to see what had happened. That was reasonable. They didn't come back. Considering what Vale had reported, it was almost inevitable. Then two other men went to find out what happened to the first three and—that was news! A smell that was worse than skunk. Paralysis in a moving car, which ditched. Remaining paralyzed while seeing crazy colors and hearing crazy sounds.... Lockley could not even guess at an explanation. But the men had remained paralyzed for some time, and then the sensations lifted. They had fled back to the construction camp, evidently fearing that the paralysis might return. Their narrative must have been hair-raising, because when orders had come for the evacuation of the camp, they had been obeyed with a promptitude suggesting panic. But apparently nothing else had happened. The first three men were still missing—or at least there'd been no mention of their return. They'd either been killed or taken captive, judging by Vale's account and obvious experience. He was either killed[26] or captured, too, but it still seemed strange that Lockley had heard so much of that struggle via a tight beam microwave transmitter that needed to be accurately aimed. Vale had been captured or killed. The three other CHAPTER 2 10
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. men missing probably had undergone the same fate. The two others had been made helpless but not murdered or taken prisoner. They'd simply been held until when they were released they'd flee. The car went over a bridge and rounded a curve. Here a deep cut had been made and the road ran through it. It came out upon undulating ground where many curves were necessary. Another car came, plunging after the others. In the next ten miles there were, perhaps a dozen more. They'd been hard to start, perhaps, and so left later than the rest. Jill wasn't in any of them. There was one car traveling slowly, making thumping noises. Its driver made the best time he could, following the others. Sober common sense pointed out that Vale's account was fully verified. There'd been a landing of non-human creatures in a ship from outer space. The killing or capture of the first three men to investigate a gigantic explosion was natural enough—the alien occupants of a space ship would want to study the inhabitants of the world they'd landed on. The mere paralysis and release of two others could be explained on the theory that the creatures who'd come to earth were satisfied with three specimens of the local intelligent race to study. They had Vale, too. They weren't trying to conceal their arrival, though it would have been impossible anyhow. But it was plausible enough that they'd take measures to become informed about the world they'd landed on, and when they considered that they knew enough, they'd take the action they felt was desirable.[27] All of which was perfectly rational, but there was another possibility. The other possible explanation was—considering everything—more probable. And it seemed to offer even more appalling prospects. He drove on. Jill Holmes. He'd seen her four times; she was engaged to Vale. It seemed extremely likely that she hadn't left the camp with the workmen. If Lockley hadn't been obsessed with her, he'd have tried to make sure she was left behind before he tried to find her. If she was still at the camp, she was in a dangerous situation. There'd been no other car from the camp for a long way now. But there came a sharp curve ahead. Lockley drove into it. There was a roar, and a car came from the opposite direction, veering away from the road's edge. It sideswiped the little car Lockley drove. The smaller car bucked violently and spun crazily around. It went crashing into a clump of saplings and came to a stop with a smashed windshield and crumpled fenders, but the motor was still running. Lockley had braked by instinct. The other car raced away without pausing. Lockley sat still for a moment, stunned by the suddenness of the mishap. Then he raged. He got out of the car. Because of its small size, he thought he might be able to get it back on the road with saplings for levers. But the job would take hours, and he was irrationally convinced that Jill had been left behind in the construction camp. He was perhaps five miles from Boulder Lake itself and about the same distance from the camp. It would take less time to go to the camp on foot than to try to get the car on the road. Time was of the essence, and whoever or whatever the occupants of the landed ship might be, they'd know what a road was for. They'd sight an intruder in a car on a road long before they'd detect a man on foot who was not[28] on a highway and was taking some pains to pass unseen. He started out, unarmed and on foot. He was headed for the near neighborhood of the thing Vale had described as coming from the sky. He was driven by fear for Jill. It seemed to him that his best pace was only a crawl and he desperately needed all the speed he could muster.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He headed directly across country for the camp. All the world seemed unaware that anything out of the ordinary was in progress. Birds sang and insects chirruped and breezes blew and foliage waved languidly. Now and again a rabbit popped out of sight of the moving figure of the man. But there were no sounds, or sights or indications of anything untoward where Lockley moved. He reflected that he was on his way to search for a girl he barely knew, and whom he couldn't be sure needed his help anyway. Outside in the world, there were places where things were not so tranquil. By this time there were already troops in motion in long trains of personnel-carrying trucks. There were mobile guided missile detachments moving at top speed across state lines and along the express highway systems. Every military plane in the coastal area was aloft, kept fueled by tanker planes to be ready for any sort of offensive or defensive action that might be called for. The short wave instructions to the construction camp had become known, and all the world knew that Boulder Lake National Park had been evacuated to avoid contact with non-human aliens. The aliens were reported to have hunted men down and killed them for sport. They were reported to have paralysis beams, death beams and poison gas. They were described as indescribable, and described in "artist's conceptions" on television and in the newspapers. They appeared—according to circumstances—to re[29]semble lizards or slugs. They were portrayed as carnivorous birds and octopods. The artists took full advantage of their temporarily greater importance than cameramen. They pictured these diverse aliens in their one known aggressive action of trailing Vale down and carrying him away. This was said to be for vivisection. None of the artists' ideas were even faintly plausible, biologically. The creatures were even portrayed as turning heat rays upon humans, who dramatically burst into steam as the beams struck them. Obviously, there were also artist's conceptions of women being seized by the creatures from outer space. There was only one woman known to be in the construction camp, but that inconvenient fact didn't bother the artists. The United States went into a mild panic. But most people stayed on their jobs, and followed their normal routine, and the trains ran on time. The public in the United States had become used to newspaper and broadcast scares. They were unconsciously relegated to the same category as horror movies, which some day might come true, but not yet. This particular news story seemed more frightening than most, but still it was taken more or less as shuddery entertainment. So most of the United States shivered with a certain amount of relish as ever new and ever more imaginative accounts appeared describing the landing of intelligent monsters, and waited to see if it was really true. The truth was that most of America didn't actually believe it. It was like a Russian threat. It could happen and it might happen, but it hadn't happened so far to the United States. An official announcement helped to guide public opinion in this safe channel. The Defense Department released a bulletin: An object had fallen from space into Boulder Lake, Colorado. It was apparently[30] a large meteorite. When reported by radar before its landing, defense authorities had seized the opportunity to use it for a test of emergency response to a grave alarm. They had used it to trigger a training program and test of defensive measures made ready against other possible enemies. After the meteorite landed, the defense measures were continued as a more complete test of the nation's fighting forces' responsive ability. The object and its landing, however, were being investigated. Lockley tramped up hillsides and scrambled down steep slopes with many boulders scattered here and there. He moved through a landscape in which nothing seemed to depart from the normal. The sun shone. The cloud cover, broken some time since, was dissipating and now a good two-thirds of the sky was wholly clear. The sounds of the wilderness went on all around him. But presently he came to a partly-graded new road, cutting across his way. A bulldozer stood abandoned on it, brand-new and in perfect order, with the smell of gasoline and oil about it. He followed the gash in the forest it had begun. It led toward the camp. He came to a place where blasting had been in progress. The equipment CHAPTER 2 12
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. for blasting remained. But there was nobody in sight. Half a mile from this spot, Lockley looked down upon the camp. There were Quonset huts and prefabricated structures. There were streets of clay and wires from one building to another. There was a long, low, open shed with long tables under its roof. A mess shed. Next to it metal pipes pierced another roof, and wavering columns of heated air rose from those pipes. There was a building which would be a commissary. There was every kind of structure needed for a small city, though all were temporary. And there was no movement, no sound, no sign of life[31] except the hot air rising from the mess kitchen stovepipes. Lockley went down into the camp. All was silence. All was lifeless. He looked unhappily about him. There would be no point, of course, in looking into the dormitories, but he made his way to the mess shed. Some heavy earthenware plates and coffee cups, soiled, remained on the table. There were a few flies. Not many. In the mess kitchen there was grayish smoke and the reek of scorched and ruined food. The stoves still burned. Lockley saw the blue flame of bottled gas. He went on. The door of the commissary was open. Everything men might want to buy in such a place waited for purchasers, but there was no one to buy or sell. The stillness and desolation of the place resulted from less than an hour's abandonment. But somehow it was impossible to call out loudly for Jill. Lockley was appalled by the feeling of emptiness in such bright sunshine. It was shocking. Men hadn't moved out of the camp. They'd simply left it, with every article of use dropped and abandoned; nothing at all had been removed. And there was no sign of Jill. It occurred to Lockley that she'd have waited for Vale at the camp, because assuredly his first thought should have been for her safety. Yes. She'd have waited for Vale to rescue her. But Vale was either dead or a captive of the creatures that had been in the object from the sky. He wouldn't be looking after Jill. Lockley found himself straining his eyes at the mountain from whose flank Vale had been prepared to measure the base line between his post and Lockley's. That vantage point could not be seen from here, but Lockley looked for a small figure that might be Jill, climbing valiantly to warn Vale of the events he'd known before anybody else.[32] Then Lockley heard a very small sound. It was faint, with an irregular rhythm in it. It had the cadence of speech. His pulse leaped suddenly. There was the mast for the short wave set by which the camp had kept in touch with the outer world. Lockley sprinted for the building under it. His footsteps sounded loudly in the silent camp, and they drowned out the sound he was heading for. He stopped at the open door. He heard Jill's voice saying anxiously, "But I'm sure he'd have come to make certain I was safe!" A pause. "There's no one else left, and I want...." Another pause. "But he was up on the mountainside! At least a helicopter could—" Lockley called, "Jill!" He heard a gasp. Then she said unsteadily, "Someone just called. Wait a moment." She came to the door. At sight of Lockley her face fell. "I came to make sure you were all right," he said awkwardly. "Are you talking to outside?" "Yes. Do you know anything about—" "I'm afraid I do," said Lockley. "Right now the important thing is to get you out of here. I'll tell them we're starting. All right?"
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. She stood aside. He went up to the short wave set which looked much like an ordinary telephone, but was connected to a box with dials and switches. There was a miniature pocket radio—a transistor radio—on top of the short wave cabinet. Lockley picked up the short wave microphone. He identified himself. He said he'd come to make sure of Jill's safety, and that he'd been passed by the rushing mass of cars and trucks that had evacuated everybody else. Then he said, "I've got a car about four miles away. It's in a ditch, but I can probably[33] get it out. It'll be a lot safer for Miss Holmes if you send a helicopter there to pick her up." The reply was somehow military in tone. It sounded like a civilian being authoritative about something he knew nothing about. Lockley said, "Over" in a dry tone and put down the microphone. He picked up the pocket radio and put it in his pocket. It might be useful. "They say to try to make it out in my car," he told Jill wryly. "As civilians, I suppose they haven't any helicopters they can give orders to. But it probably makes sense. If there are some queer creatures around, there's no point in stirring them up with a flying contraption banging around near their landing place. Not before we're ready to take real action. Come along. I've got to get you away from here." "But I'm waiting...." She looked distressed. "He wanted me to leave yesterday. We almost quarrelled about it. He'll surely come to make sure I'm safe...." "I'm afraid I have bad news," said Lockley. Then he described, as gently as he could, his last talk with Vale. It was the one which ended with squeaks and strugglings transmitted by the communicator, and then the smashing of the communicator itself. He didn't mention the puzzling fact that the communicator had stayed perfectly aimed while it was picked up and squeaked at and destroyed. He had no explanation for it. What he did have to tell was bad enough. She went deathly pale, searching his face as he told her. "But—but—" She swallowed. "He might have been hurt and—not killed. He might be alive and in need of help. If there are creatures from somewhere else, they might not realize that he could be unconscious and not dead! He'd make sure[34] about me! I—I'll go up and make sure about him...." Lockley hesitated. "It's not likely," he said carefully, "that he was left there injured. But if you feel that somebody has to make sure, I'll do it. For one thing, I can climb faster. My car is ditched back yonder. You go and wait by it. At least it's farther from the lake and you should be safer there. I'll make sure about Vale." He explained in detail how she could find the car. Up this hillside to a slash through the forest for a highway. Due south from an abandoned bulldozer. Keep out of sight. Never show against a skyline. She swallowed again. Then she said, "If he needs help, you could—do more than I can. But I'll wait there where the woods begin. I can hide if I need to, and I—might be of some use." He realized that she deluded herself with the hope that he, Lockley, might bring an injured Vale down the mountainside and that she could be useful then. He let her. He went through the camp with her to put her on the right track. He gave her the pocket radio, so she could listen for news. When she went on out of sight in brushwood, he turned back toward the mountain on which Vale had occupied an observation post. It was actually a million-year-old crater wall that he climbed presently. And he took a considerable chance. As he climbed, for some time he moved in plain view. If the crew of the ship in Boulder Lake were watching, they'd see him rather than Jill. If they took action, it would be against him and not Jill. Somehow he felt better equipped to defend himself than Jill would be. He climbed. Again the world was completely normal, commonplace. There were mountain peaks[35] on every hand. Some had been volcanoes originally, some had not. With each five hundred feet of climbing, he could see still more mountains. The sky was cloudless now. He climbed a thousand feet. Two. Three. He CHAPTER 2 14
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. could see between peaks for a full thirty miles to the spot where he'd been at daybreak. But he was making his ascent on the back flank of this particular mountain. He could not see Boulder Lake from there. On the other hand, no creature at Boulder Lake should be able to see him. Only an exploring party which might otherwise sight Jill would be apt to detect him, a slowly moving speck against a mountainside. He reached the level at which Vale's post had been assigned. He moved carefully and cautiously around intervening masses of stone. The wind blew past him, making humming noises in his ears. Once he dislodged a small stone and it went bouncing and clattering down the slope he'd climbed. He saw where Vale could have been as he watched something come down from the sky. He found Vale's sleeping bag, and the ashes of his campfire. Here too was the communicator. It had been smashed by a huge stone lifted and dropped upon it, but before that it had been moved. It was not in place on the bench mark from which it could measure inches in a distance of scores of miles. There was no other sign of what had apparently happened here. The ashes of the fire were undisturbed. Vale's sleeping bag looked as if it had not been slept in, as if it had only been spread out for the night before. Lockley went over the rock shelf inch by inch. No red stains which might be blood. Nothing.... No. In a patch of soft earth between two stones there was a hoofprint. It was not a footprint. A hoof had made it, but not a horse's hoof, nor a burro's.[36] It wasn't a mountain sheep track. It was not the track of any animal known on earth. But it was here. Lockley found himself wondering absurdly if the creature that had made it would squeak, or if it would roar. They seemed equally unlikely. He looked cautiously down at the lake which was almost half a mile below him. The water was utterly blue. It reflected only the crater wall and the landscape beyond the area where the volcanic cliffs had fallen. Nothing moved. There was no visible apparatus set up on the shore, as Vale had said. But something had happened down in the lake. Trees by the water's edge were bent and broken. Masses of brushwood had been crushed and torn away. Limbs were broken down tens of yards from the water, and there were gullies to be seen wherever there was soft earth. An enormous wave had flung itself against the nearly circular boundary of the lake. It had struck like a tidal wave dozens of feet high in an inland body of water. It was extremely convincing evidence that something huge and heavy had hurtled down from the sky. But Lockley saw no movement nor any other novelty in this wilderness. He heard nothing that was not an entirely normal sound. But then he smelled something. It was a horrible, somehow reptilian odor. It was the stench of jungle, dead and rotting. It was much, much worse than the smell of a skunk. He moved to fling himself into flight. Then light blinded him. Closing his eyelids did not shut it out. There were all colors, intolerably vivid, and they flashed in revolving combinations and forms which succeeded each other in fractions of seconds. He could see nothing but this light. Then there came sound. It was raucous. It was cacophonic. It was an utterly unorganized tumult in which musical[37] notes and discords and bellowings and shriekings were combined so as to be unbearable. And then came pure horror as he found that he could not move. Every inch of his body had turned rigid as it became filled with anguish. He felt, all over, as if he were holding a charged wire. He knew that he fell stiffly where he stood. He was blinded by light and deafened by sound and his nostrils were filled with the nauseating fetor of jungle and decay. These sensations lasted for what seemed years.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Then all the sensations ended abruptly. But he still could not see; his eyes were still dazzled by the lights that closing his eyelids had not changed. He still could not hear. He'd been deafened by the sounds that had dazed and numbed him. He moved, and he knew it, but he could not feel anything. His hands and body felt numb. Then he sensed that the positions of his arms and legs were changed. He struggled, blind and deaf and without feeling anywhere. He knew that he was confined. His arms were fastened somehow so that he could not move them. And then gradually—very gradually—his senses returned. He heard squeakings. At first they were faint as the exhausted nerve ends in his ears only began to regain their function. He began to regain the sense of touch, though he felt only furriness everywhere. He was raised up. It seemed to him that claws rather than fingers grasped him. He stood erect, swaying. His sense of balance had been lost without his realizing it. It came back, very slowly. But he saw nothing. Clawlike hands—or handlike claws—pulled at him. He felt himself turned and pushed. He staggered. He took steps out of the need to stay erect. The pushings and pullings continued. He[38] found himself urged somewhere. He realized that his arms were useless because they were wrapped with something like cord or rope. Stumbling, he responded to the urging. There was nothing else to do. He found himself descending. He was being led somewhere which could only be downward. He was guided, not gently, but not brutally either. He waited for sight to return to him. It did not come. It was then he realized that he could not see because he was blindfolded. There were whistling squeaks very near him. He began helplessly to descend the mountain, surrounded and guided and sometimes pulled by unseen creatures.
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It was a long descent, made longer by the blindfold and clumsier by his inability to move his arms. More than once Lockley stumbled. Twice he fell. The clawlike hands or handlike claws lifted him and thrust him on the way that was being chosen for him. There were whistling squeaks. Presently he realized that some of them were directed at him. A squeak or whistle in a warning tone told him that he must be especially careful just here. He came to accept the warnings. It occurred to him that the squeaks sounded very much like those button-shaped hollow whistles that children put in their mouths to make strident sounds of varying pitch. Gradually, all his senses returned to normal. Even his eyes under the blindfold ceased to report[39] only glare blindness, and he saw those peculiar, dissolving grayish patterns that human eyes transmit from darkness. More squeakings. A long time later he moved over nearly level grassy ground. He was led for possibly half a mile. He had not tried to speak during all his descent. It would have been useless. If he was to be killed, he would be killed. But trouble had been taken to bring him down alive from a remaining bit of crumbling crater wall. His captors had evidently some use for him in mind. They abruptly held him still for a long time—perhaps as much as an hour. It seemed that either instructions were hard to come by, or some preparation was being made. Then the sound of something or someone approaching. Squeaks. CHAPTER 3 16
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He was led another long distance. Then claws or hands lifted him. Metal clanked. Those who held him dropped him. He fell three or four feet onto soft sand. There was a clanging of metal above his head. Then a human voice said sardonically, "Welcome to our city! Where'd they catch you?" Lockley said, "Up on a mountainside, trying to see what they were doing. Will you get me loose, please?" Hands worked on the cord that bound his arms close to his body. They loosened. He removed the blindfold. He was in a metal-walled and metal-ceilinged vault, perhaps eight feet wide and the same in height, and perhaps twelve feet long. It had a floor of sand. Some small amount of light came in through the circular hole he'd been dropped through, despite a cover on it. There were three men already in confinement here. They wore clothing appropriate to workmen from the construction[40] camp. There was a tall lean man, and a broad man with a moustache, and a chunky man. The chunky man had spoken. "Did you see any of 'em?" he demanded now. Lockley shook his head. The three looked at each other and nodded. Lockley saw that they hadn't been imprisoned long. The sand floor was marked but not wholly formed into footprints, as it would have been had they moved restlessly about. Mostly, it appeared, they'd simply sat on the sand floor. "We didn't see 'em either," said the chunky man. "There was a hell of a explosion over at the lake this mornin'. We piled in a car—my car—and came over to see what'd happened. Then something hit us. All of us. Lights. Noise. A godawful stink. A feeling all over like an electric shock that paralyzed us. We came to blindfolded and tied. They brought us here. That's our story so far. What's happened to you—and what really happened to us?" "I'm not sure," said Lockley. He hesitated. Then he told them about Vale, and what he'd reported. They'd had no explanation at all of what had happened to them. They seemed relieved to be informed, though the information was hardly heartening. "Critters from Mars, eh?" said the moustached man. "I guess we'd act the same way if we was to get to Mars. They got to figure out some way to talk to who lives here. I guess that makes us it—unless we can figure out something better." Lockley, by temperament, tended to anticipate worse things in the future than had come in the past. The suggestion that the occupants of the spaceship had captured men to learn how to communicate with them seemed highly optimistic. He realized that he didn't believe it. It seemed extremely unlikely that the invaders from space were entirely[41] ignorant of humanity. The choice of Boulder Lake as a landing place, for example, could not have been made from space. If there was need for deep water to land in—which seemed highly probable—then it would have been simple good sense to descend in the ocean. The ship could submerge, and it could move about in the lake. Vale had said so. Such a ship would almost inevitably choose deep water in the ocean for a landing place. To land in a crater lake—one of possibly two or three on an entire continent suitable for their use—indicated that they had information in advance. Detailed information. It practically shouted of a knowledge of at least one human language, by which information about Crater Lake could have been obtained. Whoever or whatever made use of the lake was no stranger to earth! Yes.... They'd needed a deep-water landing and they knew that Boulder Lake would do. They probably knew very much more. But if they didn't know that Jill waited for him where the trail toward his ditched car began, CHAPTER 3 17
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. then there was no reason to let them overhear the information. "I was part of a team making some base line measurements," said Lockley, "when this business started. I began to check my instruments with a man named Vale." He told exactly, for the second time, what Vale said about the thing from the sky and the creatures who came out of it. Then he told what he'd done. But he omitted all reference to Jill. His coming to the lake he ascribed to incredulity. Also, he did not mention meeting the fleeing population of the construction camp. When his story was finished he sounded like a man who'd done a very foolhardy thing, but he didn't sound like a man with a girl on his mind.[42] The broad man with the moustache asked a question or two. The tall man asked others. Lockley asked many. The answers were frustrating. They hadn't seen their captors at all. They'd heard squeaks when they were being brought to this place, and the squeaks were obviously language, but no human one. They'd been bound as well as blindfolded. They hadn't been offered food since their capture, nor water. It seemed as if they'd been seized and put into this metal compartment to wait for some use of them by their captors. "Maybe they want to teach us to talk," said the moustached man, "or maybe they're goin' to carve us up to see what makes us tick. Or maybe," he grimaced, "maybe they want to know if we're good to eat." The chunky man said, "Why'd they blindfold us?" Lockley had begun to have a very grim suspicion about this. It came out of the realization of how remarkable it was that a ship designed to be navigable in deep water should have landed in a deep crater lake. He said, "Vale said at first that they weren't human, though they were only specks in his binoculars. Later, when he saw them close, he didn't say what they look like." "Must be pretty weird," said the tall man. "Maybe," said the man with the moustache, attempting humor, "maybe they didn't want us to see them because we'd be scared. Or maybe they didn't mean to blindfold us, but just to cover us up. Maybe they wouldn't mind us seeing them, but it hurts for them to look at us!" Lockley said abruptly, "This box we're in. It's made by humans." The moustached man said quickly, "We figured[43] that. It's the shell of a compost pit for the hotel that's goin' to be built around here. They'll sink it in the ground and dump garbage in it, and it'll rot, and then it'll be fertilizer. These critters from space are just using it to hold us. But what are they gonna do with us?" There were faint squeakings. The cover to the round opening lifted. Three rabbits dropped down. The cover closed with a clang. The rabbits shivered and crouched, terrified, in one corner. "Is this how they're gonna feed us?" demanded the chunky man. "Hell, no!" said the tall man, in evident disgust. "They're dumped in here like we were. They're animals. So are we. This is a temporary cage. It's got a sand floor that we can bury things in. It won't be any trouble to clean out. The rabbits and us, we stay caged until they're ready to do whatever they're goin' to do with us." "Which is what?" demanded the chunky man.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. There was no answer. They would either be killed, or they would not. There was nothing to be done. Meanwhile Lockley evaluated his three fellow captives as probably rather good men to have on one's side, and bad ones to have against one. But there was no action which was practical now. A single guard outside, able to paralyze them by whatever means it was accomplished, made any idea of escape in daylight foolish. "What kind of critters are they?" demanded the chunky man. "Maybe we could figure out what they'll do if we know what kind of thing they are!" "They've got eyes like ours," said Lockley. The three men looked at him. "They landed by daylight," said Lockley. "Early daylight. They could certainly have picked the time for their landing. They picked early morning[44] so they could have a good long period of daylight in which to get settled before night. If they'd been night moving creatures, they'd have landed in the dark." The tall man said, "Sounds reasonable. I didn't think of that." "They saw me at a distance," said Lockley, "and I didn't see them. They've got good eyes. They beat me up to the top of the mountain and hid to see what I'd do. When they saw me looking the lake over after checking up on Vale, they paralyzed me and brought me here. So they've got eyes like ours." "This guy Vale," said the chunky man. "What happened to him?" Lockley said, "Probably what'll happen to us." "Which is what?" asked the chunky man. Lockley did not answer. He thought of Jill, waiting anxiously at the edge of the woods not far from the camp. She'd surely have watched him climbing. She might have followed his climb all the way to where he went around to Vale's post. But she wouldn't have seen his capture and she might be waiting for him now. It wasn't likely, though, that she'd climb into the trap that had taken Vale and then himself. She must realize that that spot was one to be avoided. She'd probably try to make her way to his ditched car. She'd heard him ask on short wave for a helicopter to come to that place to pick her up. It hadn't been promised; in fact it had been refused. But if she remained missing, surely someone would risk a low-level flight to find out if she were waiting desperately for rescue. A light plane could land on the highway if a helicopter wasn't to be risked. Somehow Jill must find a way to safety.[45] She was in danger because she'd waited loyally for Vale to come to her at the camp. Now.... Time passed. Hot sunshine on their prison heated the metal. It became unbearably hot inside. There came squeakings. The cover of the compost pit shell lifted. Half a dozen wild birds were thrust into the opening. The cover closed again. Lockley listened closely. It was latched from the outside. There would naturally be a fastening on the cover of a compost pit to keep bears from getting at the garbage it was built to contain. The heat grew savage. Thirst was a problem. Once and only once they heard a noise from the world beyond their prison. It was a droning hum which, even through a metal wall, could be nothing but the sound of a helicopter. It droned and droned, very gradually becoming louder. Then, abruptly, it cut off. That was all. And that was all that the four in the metal tank knew about events outside of their own experience.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. But much was happening outside. Troop-carrying trucks had reached the edge of Boulder Lake National Park, a very few hours after the workmen from the camp had gotten out of it. They had a story to tell, and if it lacked detail it did not lack imagination. The three missing men had their fate described in various versions, all of which were dramatic and terrifying. The two men who had been paralyzed by some unknown agency described their sensations after their release. Their stories were immediately relayed to all the news media. It now appeared that dozens of men had seen the thing descend from the sky. They had not compared notes, however, and their descriptions varied from a black pear-shaped globe which had hovered for minutes before descending behind the mountains into the lake, to detailed word pictures of a silvery, torpedo[46]-shaped vessel of space with portholes and flaming rockets and an unknown flag displayed from a flagstaff. Of course, none of those accounts could be right. The velocity of the falling object, as reported from two radar installations, checked against a seismograph record of the time of the impact in the lake and allowed no leeway of time for it to hover in mid-air to be admired. But there were enough detailed and first-hand accounts of alarming events to make a second statement by the Defense Department necessary. It was an over-correction of the first soothing one. It was intended to be more soothing still. It said blandly that a bolide—a slow-moving, large meteoric object—had been observed by radar to be descending to earth. It had been tracked throughout its descent. It had landed in Boulder Lake. Air photos taken since its landing showed that an enormous disturbance of the water of the lake had taken place. It had seemed wise to remove workmen from the neighborhood of the meteoric fall, and the whole occurrence had been made the occasion of a full-scale practice emergency response by air and other defense forces. Investigation of the possible bolide itself was under way. The writer of the bulletin was obviously sitting on Vale's report and that of the workmen so as to tell as little as possible and that slanted to prevent alarm. The bulletin went on to say that there was no justification for the alarming reports now spreading through the country. This happening was not—repeat, was not—in any way associated with the cold war of such long standing. It was simply a very large meteor arriving from space and very fortunately falling in a national park area, and even more fortu[47]nately into a deep crater lake so that there was no damage even to the forests of the park. The bulletin had no effect, of course. It was too late. It was released at just about the time the temperature in the metal prison—which seemed likely to become a metal coffin—had begun to fall. The moving sun had gone behind a mountain and the compost pit shell was in shadow once more. Again the cover of that giant box was opened. A porcupine was dropped inside. The cover went on again. This was, at a guess, about five o'clock in the afternoon. The chunky man said drearily, "If this is supposed to be the way they'll feed us, they coulda picked something easier to eat than a porcupine!" The box now held four men, three rabbits—panting in terror in one corner—half a dozen game birds and the just-arrived porcupine. All the wild creatures shrank away from the men. At any sudden movement the birds tended to fly hysterically about in the dimness, dashing themselves against the metal wall. "I'd say," observed Lockley, "that his guess," he nodded at the tall man, "is the most likely one. Rabbits and birds and porcupines would be considered specimens of the local living creatures. We could be considered specimens too. Maybe we are. Maybe we're simply being held caged until there's time for a scientific examination of us. Let's hope they don't happen to drop a bear down here to wait with us!" The tall man said, "Or rattlers! I wonder what time it is. I'll feel better when dark comes. They're not so likely to find rattlers in the dark." CHAPTER 3 20
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Lockley said nothing. But if Boulder Lake had been chosen for a landing place on the basis of previously acquired information, it wasn't likely that either bears or rattlesnakes would be put in confinement with the men. The men would have[48] been killed immediately, unless there was a practical use to be made of them. He began to make guesses. He could make a great many, but none of them added up exactly right. Only one seemed promising, and that assumed a lot of items Lockley couldn't be sure of. He did know, though, that he'd been lifted up before he was dropped into the round opening of this tank-like metal shell. The top of the box was well above ground. It was not sunk in place as it would eventually be. Evidently it was not yet in its permanent position. The light inside was dim enough, but he could see the other men and the animals and the birds. He could make out the riveted plates which formed the box's sides and top. Inconspicuously, he worked his hand down through the sand bottom of the prison. Four inches down the sand ended and there was earth. He felt around. He found grass stems. The box, then, rested on top of the ground, which was perfectly natural for a compost pit shell not yet placed where it would finally belong. The sand.... He explored further. He waited. The other three stayed quiet. The faint brightness around the cover hole faded away. The interior of the tank-like box became abysmally black. "Can anybody guess the time?" he asked, after aeons seemed to have passed. "It feels like next Thursday," said the voice of the moustached man, "but it's probably ten or eleven o'clock. Looks like we're just going to be left here till they get around to us." "I think we'd better not wait," said Lockley. "We've been pretty quiet. They probably think we're well-behaved specimens of this planet's wild life. They won't expect us to try anything this late. Suppose we get out."[49] "How?" demanded the chunky man. Lockley said carefully, "This box is resting on top of the ground. I've dug down through the sand and found the bottom edge of the metal sidewall. If it's resting only on dirt, not stone, we ought to be able to dig out with our hands. I'll start now. You listen." He began to dig with his hands, first clearing away the sand for a reasonable space. He felt a certain sardonic interest in what might happen. He strongly suspected that nothing undesirable would take place. It was at least quaint that aliens from outer space should accept a bottomless metal shell as a suitable prison for animals. It was quaint that they'd put in a sandy floor. How would they know that such a thing meant a cage, on earth? Of course the whole event might have been a test of animal intelligence. Almost any animal would have tried to burrow out. Lockley dug. The earth was hard, and its upper part was filled with tenacious grass roots. Lockley pulled them away. Once he'd gotten under them, the digging went faster. Presently he was under the metal side wall. He dug upward. His hand reached open air. "One of you can spell me now," he reported in a low tone. "It looks like we'll get away. But we've got to make our plans first. We don't want to be talking outside the tank, or even when the hole's fair-sized. For instance, will we want to keep together when we get outside?" CHAPTER 3 21
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "Nix!" said the chunky man. "We wanna tell everybody about these characters. We scatter. If they catch one they don't catch any more. We couldn't fight any better for bein' together. We better scatter. I call that settled. I'm scatterin'!" He crawled to Lockley in the darkness.[50] "Where you diggin'? OK. I got it. Move aside an' give me room." "Everybody agrees on that?" asked Lockley. They did. Lockley was relieved. The chunky man dug busily. There was only the sound of breathing, and the occasional fall of thrown-out earth against the metal of the thing that confined them. The chunky man said briskly, "This dirt digs all right. We just got to make the hole bigger." In a little while the chunky man stopped, panting. The tall man said, "I'll take a shot at it." There was a breakthrough to the air outside. The atmosphere in the tank improved. The smell of fresh-dug dirt and cool night air was refreshing. The moustached man took his turn at digging. Lockley went at it again. Soon he whispered, "I think it's OK. I'll go ahead. No talking outside!" He shook hands all around, whispered "Good luck!" and squirmed through the opening to the night. Innumerable stars glittered in the sky. They were reflected on the water of the lake, here very close. Lockley moved silently. In the blackness just behind him, his eyes had become adjusted to almost complete darkness. He headed away from the shining water. He got brushwood between himself and his former companions. He stood very, very still. He heard them murmuring together. They were outside. But they had proposed entirely separate efforts at escape. He went on, relieved. It happened that the next time he'd see them, circumstances would be entirely different. But he believed they were competent men. Guided by the Big Dipper, he moved directly toward the place where Jill should be waiting for him. By the angle of the Dipper's handle he knew that it was almost midnight. Jill would surely have known[51] that nearly the worst had happened. He'd have to find her.... It was two o'clock when he reached the place where Jill had intended to wait. He showed himself openly. He called quietly. There was no answer. He called again, and again. He saw something white. It was a scrap of paper speared on a brushwood branch which had been stripped of leaves to make the paper show clearly. Lockley retrieved it and saw markings on it which the starlight could not help him to read. He went deep into the woods, found a hollow, and bent low, risking the light of his cigarette lighter for a swift look at the message. "I saw creatures moving around in the camp. They weren't men. I was afraid they might be hunting me. I've gone to wait by the car if I can find it." She'd written in English, in full confidence that creatures from space would not be able to read it. Lockley was not so sure, but the message hadn't been removed. If it had been read, there'd have been an ambush waiting for him when he found it. So it appeared. He headed through the night toward the ditched small car.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. It seemed a very long way, though he did stop and drink his fill from a little mountain stream over which a highway bridge had almost been completed. In the night, though, and with hard going, it was not easy to estimate how far he'd gone. In fact, he was anxiously debating if he mightn't have passed the abandoned bulldozer when he came upon the place where blasting had been going on. Still, it was a very long way to be negotiated over still-remaining[52] tree stumps and the unfilled holes from which others had been pulled. He reached the bulldozer and turned south, and at long last reached the highway. His car should be no more than a quarter-mile away. He moved toward it, close to the road's edge. He heard music. It was faint, but vivid because it was the last sound that anybody would expect to hear in the hours before dawn in a wilderness deserted by mankind. He scraped his foot on the roadway. The music stopped instantly. He said, "Jill?" He heard her gasp. "I found where Vale had been," he said steadily. "There was no blood there. There's no sign that he's been killed. Then I was caught myself. I was put with three other men who were believed killed but who are still alive. We escaped. It is within reason to hope that Vale is unharmed and that he may escape or somehow be rescued." What he said was partly to make her sure that it was he who appeared in the darkness. But it was technically true, too. It was within reason to hope for Vale's ultimate safety. One can always hope, whatever the odds against the thing hoped for. But Lockley thought that the odds against Vale's living through the events now in progress were very great indeed. Jill stepped out into the starlight. "I wasn't—sure it was you," she said with difficulty. "I saw the things, you know, at a distance. At first I thought they were men. So when I first saw you—dimly—I was afraid." "I'm sorry I haven't better news," said Lockley. "It's good news! It's very good news," she insisted as he drew near. "If they've captured him, he'll make them understand that he's a man, and that men are[53] intelligent and not just animals, and that they should be our friends and we theirs." The girl's voice was resolute. Lockley could imagine that all the time she'd been waiting, she'd been preparing to deny that even the worst news was final, until she looked on Vale's dead body itself. "Do you want to tell me exactly what you found out?" she asked. "I'll tell you while I work on the car," said Lockley. "We want to get moving away from here before daybreak." He went down to the little car, wedged in the saplings it had splintered and broken. He began to clear it so he could lever it back on to the highway. He used a broken sapling, and as he worked he told what had happened, including the three men in the compost pit shell and the dumping of assorted small wild life specimens into it with them. "But they didn't kill you," said Jill insistently, "and they didn't kill those three, and there were the two others you say got over the paralysis and went back to the camp. Counting you, that's six men they had at their mercy that we know weren't harmed. So why should they have harmed a seventh man?"
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Lockley did not answer at once. None of the spared six, he thought, had put up a fight. Only Vale had exchanged blows with the crew of the spaceship. Nobody else had seen them. "That's right, about Vale," he said after a moment in which he had been busy. "But this doesn't look good!" He felt under the car. He squeezed himself beneath its front end. There was a small, fugitive flicker of flame. It went out and he was silent. Presently he got to his feet and said evenly, "We're in a fix. One of the front wheels is turned almost at a right angle to the other. A king pin is broken.[54] The car couldn't be driven even if I managed to get it up on the road. We've got to walk. There ought to be soldiers on the way up to the lake today. If we meet them we'll be all right. But this is bad luck!" It happened that he was mistaken on both counts. There were no soldiers moving into the park, and it was not bad luck that his car couldn't be driven. If he'd been able to get it on the road and trundling down the highway, the car would have been wrecked and they could very well have been killed. But this was for the future to disclose. They took nothing from the car because they could not see beyond the present. They started out doggedly to follow the highway that soldiers would be likely to follow on the way to the lake. It was not the shortest way to the world outside the Park. It was considerably longer than a footpath would have been. But Lockley expected tanks, at least, against which eccentric unearthly weapons would be useless. So they headed down the main highway. Lockley was unarmed. They had no food. He hadn't eaten since the morning before. When day came—gray and still—and presently the dew upon grass and tree leaves glittered reflections of the sky, he moved aside into the woods and found a broken-off branch, out of which by very great effort he made a club. When he came back, Jill was listening attentively to the little pocket radio. She turned it off. "I was hoping for news," she explained determinedly. "The government knows that there are creatures in the spaceship, and he—" that would be Vale "—will be trying to make them understand what kind of beings we are. So there could be friendly communication almost any time. But there[55] aren't any news broadcasts on the air. I suppose it's too early." He agreed, with reservations. They made their way along the dew-wetted surface of the highway. As the light grew stronger, Lockley glanced again and again at Jill's face. She looked very tired. He reflected sadly that she was thinking of Vale. She'd never thought twice about Lockley. Even now, or especially now, all her thoughts were for Vale. When sunlight appeared on the peaks around them, he said detachedly, "You've had no rest for twenty-four hours and I doubt that you've had anything to eat. Neither have I. If troops come up this highway we'll hear the engines. I think we'd better get off the highway and try to rest. And I may be able to find something for us to eat." There are few wildernesses so desolate as to offer no food at all for one who knows what to look for. There is usually some sort of berry available. One kind of acorn is not bad to eat. Shoots of bracken are not unlike asparagus. There are some spiny wild plants whose leaves, if plucked young enough, will yield some nourishment and of course there are mushrooms. Even on stone one can find liverish rock-tripe which is edible if one dries it to complete dessication before soaking it again to make a soup or broth.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Before he searched for food, though, Lockley said abruptly, "You said you saw the creatures and they weren't men. What did they look like?" "They were a long way away," Jill told him. "I didn't see them clearly. They're about the size of men but they just aren't men. Far away as they were, I could tell that!" Lockley considered. He shrugged and said, "Rest. I'll be back." He moved away. He was hungry and he kept his[56] eyes in motion, looking for something to take back to Jill. But his mind struggled to form a picture of a creature who'd be the size of a man but would be known not to be a man even at a distance; whose difference from mankind couldn't be described because seen at such great distance. Presently he shook his head impatiently and gave all his attention to the search for food. He found a patch of berries on a hillside where there was enough earth for berry bushes, but not for trees. Bears had been at them, but there were many left. He filled his hat with them and made his way back to Jill. She had the pocket radio on again, but at the lowest possible volume. He put the berry-filled hat down beside her. She held up a warning hand. Speckles of sunshine trickled down through the foliage and the tree trunks were spotted with yellow light. They ate the berries as they heard the news. A new official news release was out. And now, twelve hours after the last, wholly reassuring bulletin, there was no longer any pretense that the thing in Boulder Lake was merely a meteorite. The pretext that it was a natural object, said the news broadcaster, resuming, had been abandoned. But reassurance continued. Photographic planes had been attempting to get a picture of the alien ship as it floated in the lake. So far no satisfactory image had been secured, but pictures of wreckage caused by an enormous wave generated in the lake by the alien spaceship's arrival were sharp and clear. Troops have been posted in a cordon about the Boulder Lake Park area to prevent unauthorized persons from swarming in to see earth's visitors from space. Details of its landing continue to be learned. Workmen from the construction camp have been questioned, and the two men who were paralyzed[57] and then released have told their story. So far four human beings are known to have been seized by the occupants of the spaceship. One is Vale, an eye-witness to the ship's descent and landing. The three others went to investigate the gigantic explosion accompanying the landing in the lake. They have not been seen since. This, however, does not imply that they are dead. Quite possibly the invaders—aliens—guests—who have landed on American soil are trying to learn how to communicate with the American people who are their hosts. Lockley watched Jill's face. As she heard the references to Vale, she went white, but she saw Lockley looking at her and said fiercely, "They don't know that the visitors didn't kill you and let you and the other three men escape. Someone ought to tell these broadcasters...." Lockley did not answer. In his own mind, though, there was the fact that of the two workmen who'd been paralyzed and released, the three men in the compost pit shell, and himself, none had seen their captors. But Vale had. The broadcaster went on with a fine air of confidence, reporting that yesterday afternoon a helicopter had flown into the mountains to examine the landing site in detail since it could not be examined from a high-flying plane. Lockley remembered the droning he and the others had heard through the metal plates of their prison.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. The helicopter had suddenly ceased to communicate. It is believed to have had engine trouble. However, later on a fast jet had attempted a flight below the extreme altitude of the photographic planes. Its pilot reported that at fifteen thousand feet he'd suddenly smelled an appalling odor. Then he was blinded, deafened, and his muscles knotted in spasms.[58] He was paralyzed. The experience lasted for seconds only. It was as if he'd flown into a searchlight beam which produced those sensations and then had flown out of it. He'd instinctively used evasive maneuvers and got away, but twice before he passed the horizon there were instantaneous flashes of the paralysis and the pain. Scientists determined that the report of the men who'd been paralyzed and released agreed with the report of the pilot. It was assumed that whatever or whoever had landed in Boulder Lake possessed a beam—it might as well be called a terror beam because of the effects it had—of some sort of radiation which produced the paralysis and the agony. Unless the three men missing from the construction camp had died of it, however, it was not to be considered a death ray. The news went on with every appearance of frankness and confidence. It was natural for strangers on a strange planet to take precautions against possibly hostile inhabitants of the newly-found world. But every effort would be exerted to make friendly contact and establish peaceful communications with the beings from space. Their weapon appeared to be of limited range and so far not lethal to human beings. Occasional flashes of its effects had been noted by the troops now forming a cordon about the Park, but it only produced discomfort, not paralysis. Nevertheless the troops in question have been moved back. Meanwhile rocket missiles are being moved to areas where they can deliver atom bombs on the alien ship if it should prove necessary. But the government is extremely anxious to make this contact with extra-terrestrials a friendly one, because contact with a race more advanced than ourselves could be of inestimable value to us. Therefore atom bombs will be used only as a last resort. An atom bomb would destroy aliens and their ship together—and[59] we want the ship. The public is urged to be calm. If the ship should appear dangerous, it can and will be smashed. The news broadcast ended. Jill said, obviously speaking of Vale, "He'll make them realize that men aren't like porcupines and rabbits! When they realize that we humans are intelligent people, everything will be all right!" Lockley said reluctantly, "There's one thing to remember, though, Jill. They didn't blindfold the rabbits or the porcupine. They only blindfolded men." She stared at him. "One of the men in the pit with me," said Lockley, "thought they didn't want us to see them because they were monsters. That's not likely." He paused. "Maybe they blindfolded us to keep us from finding out they aren't."
CHAPTER 4
"The evidence," said Lockley as Jill looked at him ashen-faced, "the evidence is all for monsters. But there was something in that broadcast that calls for courage, and I want to summon it. We're going to need it." "If they aren't monsters," said Jill in a stricken voice, "Then—then they're men. And we have a cold war with only one country, and they're the only ones who'd play a deadly trick like this. So if they aren't monsters, in the ship, they must be men, and they'd kill anybody who found it out." "But again," insisted Lockley, "the evidence is still all for monsters. You've been very loyal and very confident about Vale. But we're in a fix. Vale would[60] want you in a safe place, and there's something in that broadcast that doesn't look good." CHAPTER 4 26
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "What was in the broadcast?" Lockley said wryly, "Two things. One was there and one wasn't. There wasn't anything about soldiers marching up to Boulder Lake to welcome visitors from wherever they come from, and to say politely to them that as visitors they are our guests and we'd rather they didn't shoot terror beams or paralysis beams about the landscape. We were more or less counting on that, you and I. We were expecting soldiers to come up the highway headed for the lake. But they aren't coming." Jill, still pale, wrinkled her forehead in thought. "That's what wasn't in the broadcast," Lockley told her. "This is what was. The troops have formed a cordon about the Park. They've run into the terror beam. The broadcast said it was weakened by distance and only made the soldiers uncomfortable. But they've moved back. You see the point? They've moved back!" Jill stared, suddenly understanding. "But that means—" "It means," said Lockley, "that the terror beam is pretty much of a weapon. It has a range up in the miles or tens of miles. We don't know how to handle it yet. Whoever or whatever arrived in the thing Vale saw, it or they has or have a weapon our Army can't buck, yet. The point is that we can't wait to be rescued. We've got to get out of here on our own feet. Literally. So we forget about highways. From here on we sneak to safety as best we can. And we've got to put our whole minds on it." Jill shook her head as if to drive certain thoughts out of it. Then she said, "I guess you're right. He would want me to be safe. And if I can't do anything[61] to help him, at least I can not make him worry. All right! What does sneaking to safety mean?" Lockley led her down the highway running from Boulder Lake to the outside world. They came to a blasted-out cut for the highway to run through. The road's concrete surface extended to the solid rock on either side. There was no bare earth to take or hold footprints, and there was a climbable slope. "We go up here and take to the woods," said Lockley, "because we're not as easy to spot in woodland as we'd be on a road. The characters at the lake will know what roads are. If we figure out how to handle their terror beam, they'll expect the attack to come by road. So they'll set up a system to watch the roads. They ought to do it as soon as possible. So we'll avoid notice by not using the roads. It's lucky you've got good walking shoes on. That could be the deciding factor in our staying alive." He led the way, helping her climb. There would be no sign that they'd abandoned the highway. In fact, there'd be no sign of their existence except the small smashed car. Lockley's existence was known, but not his and Jill's together. Lockley did not feel comfortable about having deliberately shocked Jill into paying some attention to her own situation instead of staying absorbed in the possible or probable fate of Vale. But for them to get clear was going to call for more than sentimentality on Jill's part. Lockley couldn't carry the load alone. There was an invasion in process. It could be, apparently, an invasion from space, in which case the terror produced would be terror of the unknown. But Lockley had conceived of the possibility that it might be an invasion only from the other side of the world. Such an invasion was thought of by every American at least once every twenty-four hours.[62] The fears it would arouse would be fears of the all too thoroughly known.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. The whole earth had the jitters because of the apparently inevitable trial of strength between its two most gigantic powers. Their rivalry seemed irreconcilable. Most of humanity dreaded their conflict with appalled resignation because there seemed no way to avoid it. Yet it was admittedly possible that an all-out war between them might end with all the world dead, even plants and microbes in the deepest seas. It was ironic that the most reasonable hope that anybody could have was that one or the other nation would come upon some weapon so new and irresistible that it could demand and receive the surrender of the other without atomic war. Atom bombs could have done the trick, had only one nation owned them. But both were now armed so that by treacherous attack either could almost wipe out the other. There was no way to guard against desperate and terrible retaliation by survivors of the first attacked country. It was the certainty of retaliation which kept the actual war a cold one—a war of provocation and trickery and counter-espionage, but not of mutual extermination. But Lockley had suggested—because it was the worst of possibilities—that America's rival had developed a new weapon which could win so long as it was not attributed to its user. If the United States believed itself attacked from space, it would not launch missiles against men. It would ask help, and help would be given even by its rival if the invasion were from another planet. Men would always combine against not-men. But if this were a ship from no farther than the other side of the earth, and only pretended to be from an alien world ... America could be conquered because it believed it was fighting monsters instead of other men.[63] This was not likely, but it was believable. There was no proof, but in the nature of things proof would be avoided. And if his idea should happen to be true, the disaster could be enormously worse than an invasion from another star. This first landing could be only a test to make sure that the new weapon was unknown to America and could not be countered by Americans. The crew of this ship would expect to be successful or be killed. In a way, if an atom bomb had to be used to destroy them, they would have succeeded. Because other ships could land in American cities where they could not be bombed without killing millions; where they could demand surrender under pain of death. And get it. Lockley looked at the sun. He glanced at his watch. "That would be south," he indicated. "It's the shortest way for us to get to where you'll be reasonably safe and I can tell what I know to someone who may use it." Jill followed obediently. They disappeared into the woods. They could not be seen from the highway. They could not even be detected from aloft. When they had gone a mile, Jill made her one and final protest. "But it can't be that they aren't monsters! They must be!" "Whatever they are," said Lockley, "I don't want them to lay hands on you." They went on. Once, from the edge of a thicket of trees, they saw the highway below them and to their left. It was empty. It curved out of sight, swinging to the left again. They moved uphill and down. Now the going was easy, through woods with very little underbrush and a carpet of fallen leaves. Again it was a sunlit slope with prickly bushes to be avoided. And yet again it was boulder-strewn terrain that[64] might be nearly level but much more often was a hillside. Lockley suddenly stopped short. He felt himself go white. He grasped Jill's hand and whirled. He practically dragged her back to the patch of woods they'd just left.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "What's the matter?" The sight of his face made her whisper. He motioned to her for silence. He'd smelled something. It was faint but utterly revolting. It was the smell of jungle and of foulness. There was the musky reek of reptiles in it. It was a collection of all the smells that could be imagined. It was horrible. It was infinitely worse than the smell of skunk. Silence. Stillness. Birds sang in the distance. But nothing happened. Absolutely nothing. After a long time Lockley said suddenly, "I've got an idea. It fits into that broadcast. I have to take a chance to find out. If anything happens to me, don't try to help me!" He'd smelled the foul odor at least fifteen minutes before, and had dragged Jill back, and there had been no other sign of monsters or not-monsters upon the earth. Now he crouched down and crawled among the bushes. He came to the place where he'd smelled the ghastly smell before. He smelled it again. He drew back. It became fainter, though it remained disgusting. He moved forward, stopped, moved back. He went sideways, very, very carefully, extending his hand before him. He stopped abruptly. He came back, his face angry. "We were lucky we couldn't use the car," he said when he was near Jill again. "We'd have been killed or worse." She waited, her eyes frightened. "The thing that paralyzes men and animals,"[65] he told her, "is a projected beam of some sort. We almost ran into it. It's probably akin to radar. I thought they'd put watchers on the highways. They did better. They project this beam. When it blocks a highway, anybody who comes along that highway runs into it. His eyes become blinded by fantastic colored lights, and he hears unbearable noises and feels anguish and they smell what we smelled just now. And he's paralyzed. Such a beam was turned on me yesterday and I was captured. A beam like that on the highway at the lake paralyzed three men who were carried away, and later two others whose car ditched and who stayed paralyzed until the beam was turned off." "But we only smelled something horrible!" protested Jill. "You did. I rushed you away. I'd smelled it before. But I went back. And I smelled it, and I crawled forward a little way and I began to see flashes of light and to hear noises and my skin tingled. I pushed my hand ahead of me—and it became paralyzed. Until I pulled it back." Then he said, "Come on." "What will we do?" "We change our line of march. If we drove into it or walked into it we'd be paralyzed. It's a tight beam, but there's just a little scatter. Just a little. You might say it leaks at its edges. We'll try to follow alongside until it thins out to nothing or we get where we want to go. Unless," he added, "they've got another beam that crosses it. Then we'll be trapped." He led the way onward. They covered four miles of very bad going before Jill showed signs of distress and Lockley halted beside a small, rushing stream. He saw fish in the clear water and tried to improvise a way to catch them. He failed. He said gloomily, "It wouldn't do to catch fish here anyhow. A fire to cook them would show[66] smoke by day and might be seen at night. And whatever's at the Lake might send a terror beam. We'll leave here when you're rested." CHAPTER 4 29
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He examined the stream. He went up and down its bank. He disappeared around a curve of the stream. Jill waited, at first uneasily, then anxiously. He came back with his hands full of bracken shoots, their ends tightly curled and their root ends fading almost to white. "I'm afraid," he observed, "that this is our supper. It'll taste a lot like raw asparagus, which tastes a lot like raw peanuts, and a one-dish meal of it won't stick to your ribs. That's the trouble with eating wild stuff. It's mostly on the order of spinach." "I'll carry them," said Jill. She actually looked at him for the first time. Until she found herself anxious because he was out of sight for a long time, she hadn't really regarded him as an individual. He'd been only a person who was helping her because Vale wasn't available. Now she assured herself that Vale would be very grateful to him for aiding her. "I'm rested now," she added. He nodded and led the way once more. He watched the sun for direction. Two or three miles from their first halt he said abruptly, "I think the terror beam should be over yonder." He waved an arm. "I've got an idea about it. I'll see." "Be careful!" said Jill uneasily. He nodded and swung away, moving with a peculiar tentativeness. She knew that he was testing for the smell which was the first symptom of approach to the alien weapon. He halted half a mile from where Jill watched, resting again while she gazed after him. He moved backward and forward. He marked a place with a stone. He came well back from it and seemed to[67] remove his wrist watch. He laid it on a boulder and stamped on it. He stamped again and again, shifting it between stampings. Then he pounded it with a small rock. He stood up and came back, trailing something which glittered golden for an instant. He halted before he reached the rock he'd placed as a marker. He did cryptic things, facing away from Jill. From time to time there was a golden glitter in the air near him. He came back. As he came, he wound something into a little coil. It was the silicon bronze mainspring of his non-magnetic watch. He held it for her to see and put it in his pocket. "I know what the terror beam is—for what good it'll do!" he said bitterly. "It's a beam of radiation on the order of radar, and for that matter X-rays and everything else. Only an aerial does pick it up and this watchspring makes a good one. I could barely detect the smell at a certain place, but when I touched the laid out spring, it picked up more than my body did and it became horrible! Then I moved in to where my skin began to tingle and I saw lights and heard noises. The spring made all the difference in the world. I even found the direction of the beam." Jill looked frightened. "It comes from Boulder Lake," he told her. "It's the terror beam, all right! You can walk into it without knowing it. And I suspect that if it were strong enough it would be a death ray, too!" Jill seemed to flinch a little. CHAPTER 4 30
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "They're not using it at killing strength," said Lockley coldly. "They're softening us up. Letting us find out we're frustrated and helpless, and then letting us think it over. I'll bet they intended the four of us to escape from that compost pit thing so[68] we could tell about it! But we'll know, now, if we find dead men in rows in a wiped-out town, we'll know what killed them, and when they ask us politely to become their slaves, we'll know we'll have to do it or die!" Jill waited. When he seemed to have finished, she said, "If they're monsters, do you think they want to enslave us?" He hesitated, and then said with a grimace, "I've a habit, Jill, of looking forward to the future and expecting unpleasant things to happen. Maybe it's so I'll be pleasantly surprised when they don't." "Suppose," said Jill, "that they aren't monsters. What then?" "Then," said Lockley, "it's a cold war device, to find out if the other side in the cold war can take us over without our suspecting they're the ones doing it. Naturally those in this ship will blow themselves up rather than be found out." "Which," said Jill steadily, "doesn't offer much hope for...." She didn't say Vale's name. She couldn't. Lockley grimaced again. "It's not certain, Jill. The evidence is on the side of the monsters. But in either case the thing for us to do is get to the Army with what I've found out. I've had a stationary beam to test, however crudely. The cordon must have been pushed back by a moving or an intermittent beam. It wouldn't be easy to experiment with one of those. Come on." She stood up. She followed when he went on. They climbed steep hillsides and went down into winding valleys. The sun began to sink in the west. The going was rough. For Lockley, accustomed to wilderness travel, it was fatiguing. For Jill it was much worse. They came to a sere, bare hillside on which neither[69] trees nor brushwood grew. It amounted to a natural clearing, acres in extent. Lockley swept his eyes around. There were many thick-foliaged small trees attempting to advance into the clear space. He grunted in satisfaction. "Sit down and rest," he commanded. "I'll send a message." He broke off branches from dark green conifers. He went out into the clearing and began to lay them out in a pattern. He came back and broke off more, and still more. Very slowly, because the lines had to be large and thick, the letters S.O.S. appeared in dark green on the clayey open space. The letters were thirty feet high, and the lines were five feet wide. They should show distinctly from the air. "I think," said Lockley with satisfaction, "that we might get something out of this! If it's sighted, a 'copter might risk coming in after us." He looked at her appraisingly. "I think you'd enjoy a good meal." "I want to say something," said Jill carefully. "I think you've been trying to cheer me up, after saying something to arouse me—which I needed. If the creatures aren't monsters, they'll never actually let anybody loose who's seen that they aren't. Isn't that true? And if it is—" "We know of six men who were captured," insisted Lockley, "and I was one of them. All six escaped. Vale may have escaped. They're not good at keeping prisoners. We don't know and can't know unless it's CHAPTER 4 31
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. mentioned on a news broadcast that he's out and away. So there's absolutely no reason to assume that Vale is dead." "But if he saw them, when he was fighting them—" "The evidence," insisted Lockley again, "is that he[70] saw monsters. The only reason to doubt it is that they blindfolded four of us." Jill seemed to think very hard. Presently she said resolutely, "I'm going to keep on hoping anyhow!" "Good girl!" said Lockley. They waited. He was impatient, both with fate and with himself. He felt that he'd made Jill face reality when—if this S.O.S. signal brought help—it wasn't necessary. And there was enough of grimness in the present situation to make it cruelty. After a very long time they heard a faint droning in the air. There might have been others when they were trudging over bad terrain, and they might not have noticed because they were not listening for such sounds. There were planes aloft all around the lake area. They'd been sent up originally in response to a radar warning of something coming in from space. Now they flew in vast circles around the landing place of that reported object. They flew high, so high that only contrails would have pointed them out. But atmospheric conditions today were such that contrails did not form. The planes were invisible from the ground. But the pilots could see. When one patrol group was relieved by another, it carried high-magnification photographs of all the park, to be developed and examined with magnifying glasses for any signs of activity by the crew of the object from space. A second lieutenant spotted the S.O.S. within half an hour of the films' return. There was an immediate and intense conference. The lengths of shadows were measured. The size and slope and probable condition of the clearing's surface were estimated. A very light plane, intended for artillery-spotting, took off from the nearest airfield to Boulder Lake. And Lockley and Jill heard it long before it came[71] in sight. It flew low, threading its way among valleys and past mountain-flanks to avoid being spotted against the sky. The two beside the clearing heard it first as a faint mutter. The sound increased, diminished, then increased again. It shot over a minor mountain-flank and surveyed the bare space with the huge letters on it. Lockley and Jill raced out into view, waving frantically. The plane circled and circled, estimating the landing conditions. It swung away to arrive at a satisfactory approach path. It wavered. It made a half-wingover, and it side-slipped crazily, and came up and stalled and flipped on its back and dived.... And it came out of its insane antics barely twenty feet above the ground. It raced away as close as possible to touching its wheels to earth. It went away behind the mountains. The sound of its going dwindled and dwindled and was gone. It appeared to have escaped from a deliberately set trap. Lockley stared after it. Then he went white. "Idiot!" he cried fiercely. "Come on! Run!" CHAPTER 4 32
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He seized Jill's hand. They fled together. Evidently, something had played upon the pilot of the light plane. He'd been deafened and blinded and all his senses were a shrieking tumult while his muscles knotted and his hands froze on the controls of his ship. He hadn't flown out of the beam that made him helpless. He'd fallen out of it. And then he raced for the horizon. He got away. And it would appear to those to whom he reported that he'd arrived too late at the distress-signal. If fugitives had made it, they'd been overtaken and captured by the creatures of Boulder Lake, and there'd been an ambush set up for the plane. It was a reasonable decision. But it puzzled the pilot's superior officers that he hadn't been allowed to land the plane before the[72] beam was turned on him. He could have been paralyzed while on the ground, and he and his plane could have yielded considerable information to creatures from another world. It was puzzling. Lockley and Jill raced for the woodland at the clearing's edge. Lockley clamped his lips tight shut to waste no breath in speech. The arrival and the circling of the plane had been a public notice that there were fugitives here. If the beam could paralyze a pilot in mid-air, it could be aimed at fugitives on the ground.... There could be no faintest hope.... Wholly desperate, Lockley helped Jill down a hillside and into a valley leading still farther down. He smelled jungle, and muskiness, and decay, and flowers, and every conceivable discordant odor. Flashes of insane colorings formed themselves in his eyes. He heard the chaotic uproar which meant that his auditory nerves, like the nerves in his eyes and nostrils and skin, were stimulated to violent activity, reporting every kind of message they could possibly report all at once. He groaned. He tried to find a hiding-place for Jill so that if or when the invaders searched for her, they would not find her. But he expected his muscles to knot in spasm and cramp before he could accomplish anything. They didn't. The smell lessened gradually. The meaningless flashings of preposterous color grew faint. The horrible uproar his auditory nerves reported, ceased. He and Jill had been at the mercy of the unseen operator of the terror beam. Perhaps the beam had grazed them, by accident. Or it could have been weakened.... It was very puzzling.[73]
CHAPTER 5
When darkness fell, Lockley and Jill were many miles away from the clearing where he had made the S.O.S. They were under a dense screen of leaves from a monster tree whose roots rose above ground at the foot of its enormous trunk. They formed a shelter of sorts against observation from a distance. Lockley had spotted a fallen tree far gone with wood-rot. He broke pieces of the punky stuff with his fingers. Then he realized that without a pot the bracken shoots he'd gathered could not be cooked. They had to be boiled or not cooked at all. "We'll call it a salad," he told Jill, "minus vinegar and oil and garlic, and eat what we can." She'd been pale with exhaustion before the sun sank, but he hadn't dared let her rest more than was absolutely necessary. Once he'd offered to carry her for a while, but she'd refused. Now she sat drearily in the shelter of the roots, resting. "We might try for news," he suggested.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. She made an exhausted gesture of assent. He turned on the tiny radio and tuned it in. There was no scarcity of news, now. A few days past, news went on the air on schedule, mostly limited to five-minute periods in which to cover all the noteworthy events of the world. Part of that five minutes, too, was taken up by advertising matter from a sponsor. Now music was rare. There were occasional melodies, but most were interrupted for new interpretations of the threat to earth at Boulder Lake. Every sort of prominent person was invited[74] to air his views about the thing from the sky and the creatures it brought. Most had no views but only an urge to talk to a large audience. Something, though, had to be put on the air between commercials. The actual news was specific. Small towns around the fringe of the Park area were being evacuated of all their inhabitants. Foreign scientists had been flown to the United States and were at the temporary area command post not far from Boulder Lake. Rocket missiles were aimed and ready to blast the lake and the mountains around it should the need arise. A drone plane had been flown to the lake with a television camera transmitting back everything its lens saw. It arrived at the lake and its camera relayed back exactly nothing that had not been photographed and recorded before. But suddenly there was a crash of static and the drone went out of control and crashed. Its camera faithfully transmitted the landscape spinning around until its destruction. Military transmitters were beaming signals on every conceivable frequency to what was now universally called the alien spaceship. They had received no replies. The foreign scientists had agreed that the terror beam—paralysis beam—death beam—was electronic in nature. Lockley had thought Jill asleep from pure weariness, but her voice came out of the darkness beside the big tree trunk. "You found that out!" she said. "About its being electronic!" "I had a sample stationary beam to check on," said Lockley. "They haven't. Which may be a bad thing. Nobody's going to make useful observations of something that makes him blind and deaf and paralyzed while he's in the act. There are some things that puzzle me about that. Why haven't they killed anybody yet? They've got the public about as[75] scared as it can get without some killing. And why didn't we get the full force of the beam after the plane had been driven away? They could have given us the full treatment if they'd wanted to. Why didn't they?" "If people run away from the towns," said Jill's voice, very tired and sleepy, "maybe they think that's enough. They can take the towns...." Lockley did not answer, and Jill said no more. Her breathing became deep and regular. She was so weary that even hunger could not keep her awake. Lockley tried to think. There was the matter of food. Bracken shoots were common enough but unsubstantial. It would need more careful observation to note all the likely spots for mushrooms. Perhaps they were far enough from the lake to take more time hunting food. They were almost exactly in the situation of Australian bushmen who live exclusively by foraging, with some not-too-efficient hunting. But Australian savages were not as finicky as Jill and himself. They ate grubs and insects. For this sort of situation, prejudices were a handicap. He considered the idea with sardonic appreciation. Two days of inadequate food and such ideas came! But he and Jill wouldn't be the only ones to think such things if matters continued as they were going. The towns around Boulder Lake were being evacuated. The cordon about it had been made to retreat. There was panic not only in America, but everywhere. In Europe there were wild rumors of other landings of other ships of space. The stock markets would undoubtedly close tomorrow, if they hadn't closed today. There'd be the beginning of a mass exodus from the larger cities, starting quietly but building up to frenzy as those who tried to leave jammed all the routes by which they could get away. If the creatures of the spaceship wanted more CHAPTER 5 34
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. than[76] the flight of all humans from about their landing place, there would be genuine trouble. Let them move aggressively and there would be panic and disorder and pure catastrophe, with self-exiled city dwellers desperate from hunger because they were away from market centers. It looked as if a dozen or two monsters could wreck a civilization without the need to kill one single human being directly. He heard a sound. He turned off the radio, gripping the clumsy club which was probably useless against anything really threatening. The sound continued. There were rustlings of leaves, and then faint rattling, almost clicking noises. Whatever the creature was, it was not large. It seemed to amble tranquilly through the forest and the night, neither alarmed nor considering itself alarming. The clickings again. And suddenly Lockley knew what it was. Of course! He'd heard it in the compost pit shell, when he was a prisoner of the invaders from space. He rose and moved toward the noise. The creature did not run away. It went about its own affairs with the same peaceful indifference as before. Lockley ran into a tree. He stumbled over a fallen branch on the ground. He came to the place where the creature should be. There was silence. He flicked the flint of his pocket lighter and in the flash of brightness he saw his prey. It had heard his approach. It was a porcupine, prudently curled up into a spiky ball and placidly defying all carnivores, including men. A porcupine is normally the one wild creature without an enemy. Even men customarily spare it because so often it has saved the lives of lost hunters and half-starved travelers. It accomplishes this by its bland refusal to run away from anybody. Lockley classed himself as a half-starved traveler.[77] He struck with the club after a second spark from his lighter-flint. Presently he had a small, barely smouldering fire of rotted wood. He cooked over it, and the smell of cooking roused Jill from her exhausted slumber. "What—" "We're having a late supper," said Lockley gravely. "A midnight snack. Take this stick. There's a loin of porcupine on it. Be careful! It's hot!" Jill said, "Oh-h-h-h!" Then, "Is there more for you?" "Plenty!" he assured her. "I hunted it down with my trusty club, and only got stuck a half-dozen times while I was skinning and cleaning it." She ate avidly, and when she'd finished he offered more, which she refused until he'd had a share. They did not quite finish the whole porcupine, but it was an odd and companionable meal, there in the darkness with the barely-glowing coals well-hidden from sight. Lockley said, "I'm sort of a news addict. Shall we see what the wild radio waves are saying?" "Of course," said Jill. She added awkwardly: "Maybe it's the sudden food, but—I hope you'll remain my friend after this is all over. I don't know anyone else I'd say that to." "Consider," said Lockley, "that I've made an eloquent and grateful reply." But his expression in the darkness was not happy. He'd fallen in love with Jill after meeting her only twice, and both times she had been with Vale. She intended to marry Vale. But on the evidence at hand Vale was CHAPTER 5 35
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. either dead or a prisoner of the invaders; if the last, his chances of living to marry Jill did not look good, and if the first, this was surely no time to revive his memory. He found a news broadcast. He suspected that[78] most radio stations would stay on the air all night, now that it was officially admitted that the object in Boulder Lake was a spaceship bringing invaders to earth. The government releases spoke of them as "visitors," in a belated use of the term, but the public was suspicious of reassurances now. At the beginning the landing had seemed like another exaggerated horror tale of the kind that kept up newspaper circulations. Now the public was beginning to believe it, and people might stop going to their offices and the trains might cease to ran on time. When that happened, disaster would be at hand. The news came in a resonant voice which revealed these facts: Four more small towns had been ordered evacuated because of their proximity to Boulder Lake. The radiation weapon of the aliens had pushed back the military cordon by as much as five miles. But the big news was that the aliens had broken radio silence. Apparently they'd examined and repaired the short wave communicator from the helicopter they'd knocked down. Shortly after sundown, said the news report, a call had come through on a military short wave frequency. It was a human voice, first muttering bewilderedly and then speaking with confusion and uneasiness. The message had been taped and now was released to the public. "What the hell's this ...? Oh.... What do you characters want me to do? This feels like the short wave set from the 'copter.... Hmm.... You got it turned on.... What'll I do with it, Broadcast? I don't know whether you want me to talk to you or to back home, wherever that is.... Maybe you want me to say I'm havin' a fine time an' wish you was here.... I'm not. I wish I was there.... If this is goin' on the air I'm Joe Blake, radio man on the[79] 'copter two 'leven. We were headin' in to Boulder Lake when I smelled a stink. Next second there were lights in my eyes. They blinded me. Then I heard a racket like all hell was loose. Then I felt like I had hold of a power transmission line. I couldn't wiggle a finger. I stayed that way till the 'copter crashed. When I come to, I was blindfolded like I am now. I don't know what happened to the other guys. I haven't seen 'em. I haven't seen anything! But they just put me in front of what I think is the 'copter's short wave set an' squeaked at me—" The recorded voice ended abruptly. The news announcer's voice came back. He said that the member of the 'copter crew had given some other information before he was arbitrarily cut off. "I'll bet," said Lockley when the newscast ended, "I'll bet the other information was that the invaders have managed to tell him that earth must surrender to them!" "Why?" "What else would they want to say? To come and play patty-cake, when they can push the Army around at will and have managed to keep planes from flying anywhere near them? They may not know we've got atom bombs, but I'll bet they do! Part of that extra information could have been a warning not to try to use them. It would be logical to bluff even on that, though they couldn't make good." Jill said very carefully, "You hinted once that they might be men, pretending to be monsters. But that would mean that somebody I care about would probably be killed because he'd seen them and knew they weren't creatures from beyond the stars." "I think you can forget that idea," said Lockley. "They don't act like men. Chasing away the plane that was going to land for us, and not using the beam[80] on the fugitives it was plainly going to land for—that's CHAPTER 5 36
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. not like men preparing to take over a continent! And nudging the Army back to make the cordoned space larger—that's not like our most likely human enemy, either. They'd wipe out the cordon by stepping up the terror beam to death ray intensity." "Suppose they couldn't?" "They wouldn't have landed with a weapon that couldn't kill anybody," said Lockley. "It's much more likely that they're monsters. But they don't act like monsters, either." Jill was silent for a moment. "Not even monsters who wanted to make friends?" "They," said Lockley drily, "would hardly make a surprise landing. They'd have parked on the moon and squeaked at us until we got curious, and then they'd arrange to land, or to meet men in orbit, or something. But they didn't. They made a surprise landing, and cleared a big space of humans, keeping themselves to themselves. But if they do think we're animals, like rabbits, they'd kill people instead of stinging them up a bit, or paralyzing them for a while and then letting them go. That's not like any monster I can imagine!" "Then—" "You'd better go to sleep," said Lockley. "We've got a long day's hike before us tomorrow." "Yes-s-s," agreed Jill reluctantly. "Good-night." "'Night," said Lockley curtly. He stayed awake. It was amusing that he was uneasy about wild animals. There were predators in the Park, and he had only an improvised club for a weapon. But he knew well enough that most animals avoid man because of a bewildering sudden development of instinct. Grizzly bears, before the white man came, were[81] so scornful of man that they could be considered the dominant species in North America. They'd been known to raid a camp of Indians to carry away a man for food. Indian spears and arrows were simply ineffective against them. When Stonewall Jackson was a lieutenant in the United States Army, stationed in the West to protect the white settlers, he and a detachment of mounted troopers were attacked without provocation by a grizzly who was wholly contemptuous of them. The then Lieutenant Jackson rode a horse which was blind in one eye, and he maneuvered to get the bear on the horse's blind side so he could charge it. With his cavalry sabre he split the grizzly's skull down to its chin. It was the only time in history that a grizzly bear was ever killed by a man with a sword. But no grizzly nowadays would attack a man unless cornered. Even cubs with no possible experience of humankind are terrified by the scent of men. All that was true enough. In addition, preparations for the Park included much activity by the Wild Life Control unit, which persuaded bears to congregate in one area by putting out food for them, and took various other measures for deer and other animals. It had seeded trout streams with fingerlings and the lake itself with baby big-mouthed bass. The huge trailer truck of Wild Life Control was familiar enough. Lockley had seen it headed up to the lake the day before the landing. Now he found himself wondering sardonically to what degree the Wild Life Control men determined where mountain lions should hunt. He'd slept in the open innumerable times without thinking of mountain lions. With Jill to look after, though, he worried. But he was horribly weary, and he knew somehow that in the back of his mind there was CHAPTER 5 37
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. something unpleasant that was trying to move[82] into his conscious thoughts. It was a sort of hunch. Wearily and half asleep, he tried to put his mind on it. He failed. He awoke suddenly. There were rustlings among the trees. Something moved slowly and intermittently toward him. It could be anything, even a creature from Boulder Lake. He heard other sounds. Another creature. The first drew near, not moving in a straight line. The second creature followed it, drawing closer to the first. Lockley's scalp crawled. Creatures from space might have some of the highly-developed senses which men had lost while growing civilized—full keenness of scent, for example. Such a creature might be able to find Lockley and Jill in the darkness after trailing them for miles. And so primitive a talent, in a creature farther advanced than men, was somehow more horrifying than anything else Lockley had thought of about them. He gripped his club desperately, wholly aware that a star creature should be able to paralyze him with the terror beam.... There were whistling, squealing noises. They were very much like the squeaks his captors had directed at each other and at him when he was blindfolded and being led downhill to imprisonment in the compost pit shell. Very much like, but not identical. Nevertheless, Lockley's hair seemed to stand up on end and he raised his club in desperation. The whistling squeals grew shriller. Then there was an indescribable sound and one of the two creatures rushed frantically away. It traveled in great leaps through the blackness under the trees. And then there was a sudden whiff of a long-familiar odor, smelled a hundred times before. It was the reek of a skunk, stalked by a carnivore and defending itself as skunks do. But a skunk was nothing[83] like a terror beam. Its effluvium offended only one sense, affected only one set of sensation nerves. The terror beam.... Lockley opened his mouth to laugh, but did not. The thing at the back of his mind had come forward. He was appalled. Jill said shakily, "What's the matter? What's happened? That smell—" "It's only a skunk," said Lockley evenly. "He just told me some very bad news. I know how the terror beam works now. And there's not a thing that can be done about it. Not a thing. It can't be!" He raged suddenly, there in the darkness, because he saw the utter hopelessness of combatting the creatures who'd taken over Boulder Lake. There was nothing to keep them from taking over the whole earth, no matter what sort of monsters or not-monsters they might be.
CHAPTER 6
It was nine o'clock at night when Lockley killed the porcupine, and ten by the time Jill had gone back to sleep huddled between the projecting roots of a giant tree. Shortly after midnight Lockley had been awakened when a skunk defeated a hungry predator within a hundred yards of their bivouac. But some time in between, there was another happening of much greater importance elsewhere. Something came out of Boulder Lake National Park. All humans had supposedly fled from it. It was abandoned to the creatures of the thing from the sky. But something came out of it.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Nobody saw the thing, of course. Nobody could approach it, which was the point immediately dem[84]onstrated. No human being could endure being within seven miles of whatever it was. It was evidently a vehicle of some sort, however, because it swung terror beams before it, and terror beams on either side, and when it was clear of the Park it played terror beams behind it, too. Men who suffered the lightest touch of those sweeping beams of terror and anguish moved frantically to avoid having the experience again. So when something moved out of the Park and sent wavering terror beams before it, men moved to one side or the other and gave it room. On a large-scale map in the military area command post, its progress could be watched as it was reported. The reports described a development of unbearable beam strength which showed up as a bulge in the cordon's roughly circular line. That bulge, which was the cordon itself moving back, moved outward and became a half-circle some miles across. It continued to move outward, and on the map it appeared like a pseudopod extruded by an enormous amoeba. It was the area of effectiveness of a weapon previously unknown on earth—the area where humans could not stay. Deliberately, the unseen moving thing severed itself from the similar and larger weapon field which was its birthplace and its home. It moved with great deliberation toward the small town of Maplewood, twenty miles from the border of the Park. Jeeps and motorcycles scurried ahead of it, just out of reach of its beams. They made sure that houses and farms and all inhabited places were emptied of people before the moving terror beams could engulf them. They went into the town of Maplewood itself and frantically made sure that nothing alive remained in it. They went on to clear the countryside beyond.[85] The unseen thing from the Park moved onward. High overhead there was a dull muttering like faraway thunder, but it was planes with filled bomb racks circling above the starlit land. There were men in those planes who ached to dive down and destroy this separated fraction of an invasion. But there were firm orders from the Pentagon. So long as the invaders killed nobody, they were not to be attacked. There was reason for the order in the desire of the government to be on friendly terms with a race which could travel between the stars. But there was an even more urgent reason. The aliens had not yet begun to murder, but it was suspected that they had a horrifying power to kill. So it was firmly commanded that no bomb or missile or bullet was to be used unless the invaders invited hostilities by killing humans. Their captives—the crew of a helicopter—might be freed if aliens and men achieved friendship. So for now—no provocation! The thing which nobody saw moved comfortably over the ground between the park and Maplewood. In the center of the weapon field there was a something which generated the terror beam and probably carried passengers. Whatever it was, it moved onward and into Maplewood and for seven miles in every direction troops watched for it to move out again. Artillerymen had guns ready to fire upon it if they ever got firing coordinates and permission to go into action. Planes were ready to drop bombs if they ever got leave to do so. And a few miles away there were rockets ready to prove their accuracy and devastating capacity if only given a launching command. But nothing happened. Not even a flare was permitted to be dropped by the planes far up in the sky. A flare might be taken for hostility. The thing from the Park stayed in Maplewood for[86] two hours. At the end of that time it moved deliberately back toward the Park. It left the town untouched save for certain curious burglaries of hardware stores and radio shops and a garage or two. It looked as if intensely curious not-human beings had moved from their redoubt—Boulder Lake—to find out what civilization human beings had attained. They could guess at it by the buildings and the homes, but most notably in the technical shops of the inhabitants. It went slowly and deliberately back into the Park. Humans moved cautiously back into the area that had been emptied. Not many, but enough to be sure that the thing had really returned to the place from which it had CHAPTER 6 39
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. come. Soldiers were tentatively entering the again-abandoned town of Maplewood when the unseen thing changed the range of its weapon bearing on that little city. It was then presumably not less than seven miles on its way back to Boulder Lake. The military had congratulated themselves on what they'd learned. The beam projectors at the lake had a range of much more than seven miles, but this movable, unidentifiable thing carried a lesser armament. From it, men and animals seven miles away were safe. This was notable news. Then the unseen object did something. The terror beam that flicked back and forth doubled in intensity. The soldiers just reentering Maplewood smelled foulness and saw bright lights. Bellowings deafened them. They fell with every muscle rigid in spasm. Beyond them other men were paralyzed. For five minutes the invaders' mobile weapon paralyzed all living things for a distance of fifteen miles. Then for thirty seconds it paralyzed living things for a distance of thirty miles. For a bare instant it convulsed men and animals for a greater distance[87] yet. And all these victims of the terror beam knew, thereafter, an invincible horror of the beam. The thing from the Park which nobody had seen went back into the Park. And then men were permitted to return to exactly the same places they'd been allowed to occupy before the thing began its excursion. It seemed that nothing was changed, but everything was changed. If there were mobile carriers of the invasion weapon, then victory could not be had by a single atom bomb fired into Boulder Lake. There might be a dozen separate mobile terror beam generators scattered through the Park. Any atomic attack would need to be multiplied in its violence to be certain of results. Instead of one bomb there might be a need for fifty. They would have to destroy the Park utterly, even its mountains. And the fallout from so many atom bombs simply could not be risked. The invaders were effectively invulnerable. While this undesirable situation was being demonstrated, Jill slept heavily between two roots of a very large tree, and Lockley dozed against a nearby tree trunk. He believed that he guarded Jill most vigilantly. He awoke at dawn with the din of bird song in his ears. Jill opened her eyes at almost the same instant. She smiled at him and tried to get up. She was stiff and sore from the hardness of the ground on which she'd slept. But it was a new day, and there was breakfast. It was porcupine cooked the night before. "Somehow," said Jill as she nibbled at a bone, "somehow I feel more cheerful than I did." "That's a mistake," Lockley told her. "Start out with a few premonitions and the day improves as they turn out wrong. But if you start out hoping,[88] the day ends miserably with most of your hopes denied." "You've got premonitions?" she asked. "Definitely," he said. It was true. As yet he knew nothing of last night's temporary occupation of a human town, but he believed he knew how the terror beam worked even if he couldn't figure out a way to generate it. He could imagine no defense against it. But if Jill had awakened feeling cheerful, there was no reason to depress her. She'd have reason enough to be dejected later, beginning with proof of Vale's death and going on from there. "We might listen to the news," she suggested. "A premonition or two might be ruled out right away!" Silently, he turned on the little radio. Automatically, he set it for the lowest volume they could hear distinctly. The main item in the news was a baldly factual but toned-down report of the thing from the lake which had left the park and examined a small human town in detail and then had returned to the Park. There were reports of peculiar hoofprints found where the invaders had been. They were not the hoofprints of any earthly animal. CHAPTER 6 40
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. There was an optimistic report from the scientists at work on the problem of the beam. Someone had come up with an idea and some calculations which seemed to promise that the beam would presently be duplicated. Once it was duplicated, of course a way to neutralize it could be found. Lockley grunted. The broadcast was enthusiastic in its comments on the scientists. It talked gobbledegook which sounded as if it meant something but was actually nonsense. It barely touched on the fact that human beings were now ordered out of a much larger space than had been evacuated before. There[89] was a statement from an important official that panic buying of food was both unnecessary and unwise. Lockley grunted again when the newscast ended. "The idea that anything that can be duplicated can be canceled," he announced gloomily, "is unfortunately rot. We can duplicate sounds, but there's no way to make them cancel out! Not accurately!" Jill had eaten a substantial part of the porcupine while the newscast was on. It was not a satisfying breakfast, but it cheered her immensely after two days of near-starvation. "But," she observed, "maybe that won't apply to this business when you report what you know. It's not likely that anybody else has stood just outside a beam and made tests of what it's like and how it's aimed and so on." They started off. For journeying in the Park, Lockley had the advantage that as part of the preparation for making a new map, he'd familiarized himself with all mapping done to date. He knew very nearly where he was. He knew within a close margin just where the terror beam stretched. He'd smashed his watch, which during sunshine substituted admirably for a compass, but he could maintain a reasonably straight line toward that part of the Park's border the terror beam would cross. They moved doggedly over mountain-flanks and up valleys, and once they followed a winding hollow for a long way because it led toward their destination without demanding that they climb. It was in this area that, pushing through brushwood beside a running stream, they came abruptly upon a big brown bear. He was no more than a hundred feet away. He stared at them inquisitively, raising his nose to sniff for their scent. Lockley bent and picked up a stone. He threw it.[90] It clattered on rocks on the ground. The bear made a whuffing sound and moved aggrievedly away. "I'd have been afraid to do that," said Jill. "It was a he-bear," said Lockley. "I wouldn't have tried it on a she-bear with cubs." They went on and on. At mid-morning Lockley found some mushrooms. They were insipid and only acute hunger would make them edible raw, but he filled his pockets. A little later there were berries, and as they gathered and ate them he lectured learnedly on edible wild plants to be found in the wilderness. Jill listened with apparent interest. When they left the berry patch they swung to the left to avoid a steep climb directly in their way. And suddenly Lockley stopped short. At the same instant Jill caught at his arm. She'd turned white. They turned and ran. A hundred yards back, Lockley slackened his speed. They stopped. After a moment he managed to grin mirthlessly. "A conditioned reflex," he said wryly. "We smell something and we run. But I think it's the old familiar terror beam that crosses highways to stop men from using them. If it were a portable beam projector with somebody aiming it, we wouldn't be talking about it." CHAPTER 6 41
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Jill panted, partly with relief. "I've thought of something I want to try," said Lockley. "I should have tried it yesterday when I first smashed my watch." He retraced his steps to the spot where they'd caught the first whiff of that disgusting reptilian-jungle-decay odor which had bombarded their nostrils. Jill called anxiously, "Be careful!" He nodded. He got the coiled bronze watchspring out of his pocket. He went very cautiously to the spot where the smell became noticeable. Standing well[91] back from it, he tossed one end of the spring into it. He drew it back. He repeated the operation. He moved to one side. Again he swung the gold-colored ribbon. He dangled it back and forth. Then he drew back yet again and wrapped his left hand and wrists with many turns of the thin bronze spring, carefully spacing the turns. He moved forward once more. He came back, his expression showing no elation at all. "No good," he said unhappily. "In a way, it works. The spring acts as an aerial and picks up more of the beam than my hand. But I tried to make a Faraday cage. That will stop most electromagnetic radiation, but not this stuff! It goes right through, like electrons through a radio tube grid." He put the spring back in his pocket. "Well," he grimaced. "Let's go on again. I had a little bit of hope, but some smarter men than I am haven't got the right gimmick yet." They started off once more. And this time they did not choose a path for easier travel, but went up a steep slope that rose for hundreds of feet to arrive at a crest with another steep slope going downhill. At the top Lockley said sourly, "I did discover one thing, if it means anything. The beam leaks at its edges, but it's only leakage. It doesn't diffuse. It's tight. It's more like a searchlight beam than anything else in that way. You can see a light beam at night because dust motes scatter some part of it. But most of the light goes straight on. This stuff does the same. It's hard to imagine a limit to its range." He trudged on downhill. Jill followed him. Presently, when they'd covered two miles or more with no lightening of his expression, she said, "You said you understand how it works. Radio and radar beams[92] don't have effects like this. How does this have them?" "It makes high frequency currents on the surface of anything it hits. High frequency doesn't go into flesh or metal. It travels on the surface only. So when this beam hits a man it generates high frequency on his skin. That induces counter currents underneath, and they stimulate all the sensory nerves we've got—of our eyes and ears and noses as well as our skin. Every nerve reports its own kind of sensation. Run current over your tongue, and you taste. Induce a current in your eyes, and you see flashes of light. So the beam makes all our senses report everything they're capable of reporting, true or not, and we're blinded and deafened. Then the nerves to our muscles report to them that they're to contract, and they do. So we're paralyzed." "And," said Jill, "if there's a way to generate high frequency on a man's skin there's nothing that can be done?" "Nothing," said Lockley dourly. "Maybe," said Jill, "you can figure out a way to prevent that high frequency generation."
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He shrugged. Jill frowned as she followed him. She hadn't forgotten Vale, but she owed some gratitude to Lockley. Womanlike, she tried to pay part of it by urging him to do something he considered impossible. "At least," she suggested, "it can't be a death ray!" Lockley looked at her. "You're wrong there," he said coldly. "It can." Jill frowned again. Not because of his statement, but because she hadn't succeeded in diverting his mind from gloomy things. She had reason enough for sadness, herself. If she spoke of it, Lockley would try to encourage her. But he was concerned with[93] more than his own emotions. Without really knowing it, Jill had come to feel a great confidence in Lockley. It had been reassuring that he could find food, and perhaps more reassuring that he could chase away a bear. Such talents were not logical reasons for being confident that he could solve the alien's seemingly invincible weapon, but she was inclined to feel so. And if she could encourage him to cope with the monsters—why—it would be even a form of loyalty to Vale. So she believed. In the late afternoon Lockley said, "Another four or five miles and we ought to be out of the Park and on another highway we'll hope won't be blocked by a terror beam. Anyhow there should be an occasional farmhouse where we can find some sort of civilized food." Jill said hungrily, "Scrambled eggs!" "Probably," he agreed. They went on and on. Three miles. Four. Five. Five and a half. They descended a minor slope and came to a hard-surfaced road with tire marks on it and a sign sternly urging care in driving. There were ploughed fields in which crops were growing. There was a row of stubby telephone poles with a sagging wire between them. "We'll head west," said Lockley. "There ought to be a farmhouse somewhere near." "And people," said Jill. "I look terrible!" He regarded her with approval. "No. You look all right. You look fine!" It was pleasing that he seemed to mean it. But immediately she said, "Maybe we'll be able to find out about ... about...." "Vale," agreed Lockley. "But don't be disappointed if we don't. He could have escaped or been freed without everybody knowing it." She said in surprise, "Been freed! That's something[94] I didn't think of. He'd set to work to make them understand that we humans are intelligent and they ought to make friends with us. That would be the first thing he'd think of. And they might set him free to arrange it." Lockley said, "Yes," in a carefully noncommittal tone. Another mile, this time on the hard road. It seemed strange to walk on so unyielding a surface after so many miles on quite different kinds of footing. It was almost sunset now. There was a farmhouse set well back from CHAPTER 6 43
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. the road and barely discernable beyond nearby growing corn. The house seemed dead. It was neat enough and in good repair. There were clackings of chickens from somewhere behind it. But it had the feel of emptiness. Lockley called. He called again. He went to the door and would have called once more, but the door opened at a touch. "Evacuated," he said. "Did you notice that there was a telephone line leading here from the road?" He hunted in the now shadowy rooms. He found the telephone. He lifted the receiver and heard the humming of the line. He tried to call an operator. He heard the muted buzz that said the call was sounding. But there was no answer. He found a telephone book and dialed one number after another. Sheriff. Preacher. Doctor. Garage. Operator again. General store.... He could tell that telephones rang dutifully in remote abandoned places. But there was no answer at all. "I'll look in the chicken coops," said Jill practically. She came back with eggs. She said briefly, "The chickens were hungry. I fed them and left the chicken yard gate open. I wonder if the beam hurts them too?"[95] "It does," said Lockley. He made a light and then a fire and she cooked eggs which belonged to the unknown people who owned this house and who had walked out of it when instructions for immediate evacuation came. They felt queer, making free with this house of a stranger. They felt that he might come in and be indignant with them. "I ought to wash the dishes," said Jill when they were finished. "No," said Lockley. "We go on. We need to find some soldiers, or a telephone that works...." "I'm not a good dishwasher anyhow," said Jill guiltily. Lockley put a banknote on the kitchen table, with a weight on it to keep it from blowing away. They closed the house door. They'd eaten fully and luxuriously of eggs and partly stale bread and the sensation was admirable. They went out to the highway again. "West is still our best bet," said Lockley. "They've blocked the highway to eastward with that terror beam." The sun had set now, but a fading glory remained in the sky. They saw the slenderest, barest crescent of a new moon practically hidden in the sunset glow. They walked upon a civilized road, with a fence on one side of it and above it a single sagging telephone wire that could be made out against the stars. "I feel," said Jill, "as if we were almost safe, now. All this looks so ordinary and reassuring." "But we'd better keep our noses alert," Lockley told her. "We know that one beam comes nearly this far and probably—no, certainly crosses this road. There may be more." "Oh, yes," agreed Jill. Then she said irrelevantly, "I'll bet they do make him a sort of—ambassador[96] to our government to arrange for making friends. He'll be able to convince them!" Again she referred to Vale. Lockley said nothing.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Night was now fully fallen. There were myriad stars overhead. They saw the telephone wire dipping between poles against the sky's brightness. They passed an open gate where another telephone wire led away, doubtless to another farmhouse. But if there was no one at the other end of a telephone line, there was no point in using a phone. There came a rumbling noise behind them. They stared at one another in the starlight. The rumbling approached. "It—can't be!" said Jill, marvelling. "It's a motor," said Lockley. He could not feel complete relief. "Sounds like a truck. I wonder—" He felt uneasiness. But it was absurd. Only human beings would use motor trucks. There was a glow in the distance behind them. It came nearer as the sound of the motor approached. The motor's mutter became a grumble. It was definitely a truck. They could hear those other sounds that trucks always make in addition to their motor noises. It came up to the curve they'd rounded last. Its headlight beams glared on the cornstalks growing next to the highway. One headlight appeared around the turn. Then the other. An enormous trailer-truck combination came bumbling toward them. Jill held up her hand for it to stop. Its headlights shone brightly upon her. Airbrakes came on. The giant combination—cab in front, gigantic box body behind—came to a halt. A man leaned out. He said amazedly, "Hey, what are you folks doin' here? Everybody's supposed to be long gone! Ain't you heard about all civilians clearing out from twenty miles outside the Park? There's[97] boogers in there! Characters from Mars or somewhere. They eat people!" Even in the starlight Lockley saw the familiar Wild Life Control markings on the trailer. He heard Jill, her voice shaking with relief, explaining that she'd been at the construction camp and had been left behind, and that she and Lockley had made their way out. "We want to get to a telephone," she added. "He has some information he wants to give to the Army. It's very important." Then she swallowed. "And I'd like to ask if you've heard anything about a Mr. Vale. He was taken prisoner by the creatures up there. Have you heard of his being released?" The driver hesitated. Then he said, "No, ma'm. Not a word about him. But we'll take care of you two! You musta been through plenty! Jud, you go get in the trailer, back yonder. Make room for these two folks up on the front seat." He added explanatorily, "There's cases and stuff in the back, ma'm. You two folks climb right up here alongside of me. You sure musta had a time!" The door on the near side of the truck cab opened. A small man got out. Silently, he went to the rear of the trailer and swung up out of sight. Jill climbed into the opened door. Lockley followed her. He still felt an irrational uneasiness, but he put it down to habit. The past few days had formed it. "We've been cartin' stuff for the soldiers," explained the driver as Lockley closed the door behind him. "They keep track of where that terror beam is workin', and they tell us by truck radio, and we dodge it. Ain't had a bit of trouble. Never thought I'd play games with Martians! Did you see any of 'em? What sort of critters are they?" He slipped the truck into gear and gunned the motor. Truck and trailer, together, began to roll[98] down the highway. Lockley was irritated with himself because he couldn't relax and feel safe, as this development CHAPTER 6 45
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. seemed to warrant. Later, he would wonder why he hadn't used his head in this as in other matters during the few days just past. He plainly hadn't.
CHAPTER 7
The driver was avidly curious about the area where supposedly no human being could survive. He asked absorbed questions, especially and insistently about the aliens. Jill said that she'd seen a few of them, but only at a distance. They'd been investigating the evacuated construction camp. They were about the size of men. She couldn't describe them, but they weren't human beings. He seemed to find it unthinkable that she hadn't examined them in detail. Lockley came to her rescue. He observed that he'd been a prisoner of the invaders, and had escaped. Then the driver's curiosity became insatiable. He wanted to know every imaginable detail of that experience. He expressed almost incredulous disappointment that Lockley couldn't give even a partial description of the creatures. When convinced, he launched a detailed recital of the descriptions offered by the workmen from the camp. He pictured the aliens as hoofed like horses, equipped with horns like antelopes, fitted with multiple arms like octopi and huge multi-faceted eyes like insects. He seemed to contemplate this picture with vast[99] satisfaction as the truck growled and rumbled through the night. The headlights glared on ahead of the truck. There were dark fields and darker mountains beyond them. From time to time little side roads branched off. They undoubtedly led to houses, but no speck of lamp light appeared anywhere. This part of the world was empty, with the loneliness of a landscape from which every hint of human activity had been removed. Jill asked a question. The driver grew garrulous. He gave a dramatic picture of terror throughout the world, the suspension of all ordinary antagonisms in the face of this menace to every man and nation on the earth. There was peace even in the world's trouble spots as appalled agitators saw how much worse things could be if the monsters took over the world to rule. But the driver insisted that the United States was calm. Us Americans, he assured Lockley, weren't scared. We were educated and we knew that them scientists would crack this nut somehow. Like only yesterday a broadcast said this Belgian guy had come up with calculations that said this poison beam had to be something like a radar beam or a laser beam or something like that. And the American scientists were right out there in front, along with guys from England and France and Italy and Germany and even Russia. All the big brains of the world were workin' on it! Those Martians were gonna wish they'd come visitin' polite instead of barging in like they owned the world! They'd be lucky if they wound up ownin' Mars! Lockley pressed for details about the scientists' results. He didn't expect to get them, but the driver cheerfully obliged. Radio, said the driver largely, worked by making[100] waves like those on a pond. They spread out and reached places where there were instruments to detect them, and that was that. Radar made the same kind of waves, only smaller, which bounced back to where there was an instrument to detect them. These were ripple waves.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Lockley interpreted the term to mean sine waves, rounded at top and trough. It was a perfectly good word to express the meaning intended. These were natural kindsa waves, pursued the driver. Lightning made them. Static was them, and sparks from running motors and blown fuses. Waves like that were generated whenever an electric circuit was made or broken besides their occurrence from purely natural causes. "We can't feel 'em," said the driver expansively. "We're used to waves like that. Animals couldn't do anything about 'em and didn't need to before there was men. So when we come along, we couldn't notice 'em any more than we notice air pressure on our skin. We're used to it! But these scientists say there's waves that ain't natural. They ain't like ripples. They're like storm waves with foam on 'em. And that's the kind of waves we can notice. Like storm waves with sharp edges. We can notice them because they do things to us! These Martians make 'em do things. But now we know what kinda waves they are, we're gonna mess them up! And I'm savin' up a special kick for one o' those Martians when they're licked just as soon as I can find out which end of him is which an' suited to that kinda attention!" Lockley found himself suspicious and was annoyed. Jill was safe now. This driver was well-informed, but probably everybody was well-informed now. They had reason to become so! The truck trundled through the night. High over[101]head, a squadron of planes arrived to take its place in the ever-moving patrol around the Park. Another squadron, relieved, went away to the southwest. There was a deep-toned, faraway roaring from the engines aloft. All the sky behind the trailer seemed to mutter continuously. But the roof of stars ahead was silent. Lockley stayed tense and was weary of his tenseness, Jill was safe. He tried to reason his uneasiness away. The cab of the truck wobbled and swayed. The feel of the vehicle was entirely unlike the feel of a passenger car. It felt tail-heavy. The driver had ceased to talk. He seemed to be musing as he drove. He'd asked about the invaders but seemed almost indifferent to any adventures Jill and Lockley might have had on their way out. He didn't ask what they'd done for food. He was thinking of something else. Lockley found himself questioning the driver's statements just after they got in. Driving for the Army. The Army kept track of where the terror beams existed, and notified this truck by truck radio, and he dodged all such road barriers. That was what he said. It seemed plausible, but— "One thing strikes me funny," said the driver, musingly. "Those critters blindfoldin' you and those other guys. What' you think they did it for?" "To keep us from seeing them," said Lockley, curtly. "But why'd they want to do that?" "Because," said Lockley, "they might not have been Martians. They might not have been critters. They might have been men." On the instant he regretted bitterly that he'd said it. It was a guess, only, with all the evidence against it. The driver visibly jumped. Then he turned his head.[102] "Where'd you get that idea?" he demanded. "What's the evidence? Why d'you think it?" "They blindfolded me," said Lockley briefly.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. A pause. Then the driver said vexedly, "That's a funny thing to make you think they was men! Hell! Excuse me, ma'm!—they coulda had all kindsa reasons for blindfoldin' you! It coulda been part of their religion!" "Maybe," said Lockley. He was angry with himself for having said something which was needlessly dramatic. "Didn't you have any other reason for thinkin' they were men?" demanded the driver curiously. "No other reason at all?" "No other at all," said Lockley. "It's a crazy reason, if you ask me!" "Quite likely," conceded Lockley. He'd been indiscreet, but no more. He'd said what he thought, perhaps because he was tired of watching all the country round him for a menace to Jill, and then watching every word he spoke to keep her from abandoning hope for Vale. Jill said, "Where are we headed for? I hope I can get to a telephone. I want to ask about somebody.... He wants to tell the soldiers something." "We're headed for a army supply dump," said the driver comfortably, "to load up with stuff for the guys that're watching all around the Park. We'll be goin' through Serena presently. Funny. Everybody moved out by the Army. A good thing, too. The folks in Maplewood couldn't ha' been got out last night before the Martians got there." The trailer-truck went on through the night. The driver lounged in his seat, keeping a negligent but capable eye on the road ahead. The headlights showed a place where another road crossed this one and there was a filling station, still and dark, and[103] four or five dwellings nearby with no single sign of life about them. Then the crossroads settlement fell behind. A mile beyond it Jill said startledly, "Lights! There's a town. It's lighted." "It's Serena," said the driver. "The street lights are on because the electricity comes from far away. With the lights on it's a marker for the planes, too, so they can tell exactly where they are and the Park too. They can't see the ground so good at night, from away up there." The white street lamps seemed to twinkle as the trailer-truck rumbled on. A single long line of them appeared to welcome the big vehicle. It went on into the town. It reached the business district. There were side streets, utterly empty, and then the main street divided. The truck bore to the right. There were three and four-story buildings. Every window was blank and empty, reflecting only the white street lamps. No living thing anywhere. There had been no destruction, but the town was dead. Its lights shone on streets so empty that it would have seemed better to leave them to the kindly dark. Jill exclaimed, "Look! That window!" And ahead, in the dead and lifeless town, a single window glowed from electric light inside it, and it looked lonelier than anything else in the world. "I'm gonna look into that!" said the driver. "Nobody's supposed to be here."
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. The truck came to a stop. The driver got out. There was a stirring, behind, and the small man who'd given his place to Jill and Lockley popped out of the trailer body. Lockley saw the name of a local telephone company silhouetted on the lighted windowpane. He opened the door. Jill followed him instantly. The four of them—driver, helper, Lockley and Jill—crowded into the building hallway to in[104]vestigate the one lighted room in a town where twenty thousand people were supposed to live. There was a door with a frosted glass top through which light showed. The driver turned the door-knob and marched in. The room had an alcoholic smell. A man with sunken cheeks slept heavily in a chair, his head forward on his chest. The driver shook him. "Wake up, guy!" he said sternly. "Orders are for all civilians to clear outa this town. You wanna soldier to come by an' take you for a looter an' bump you off?" He shook again. The cadaverous man blinked his eyes open. The smell of alcohol was distinct. He was drunk. He gazed ferociously up at the driver of the truck. "Who the hell are you?" he demanded belligerently. The driver spoke sternly, repeating what he'd said before. The drunk assumed an air of outraged dignity. "If I wanna stay here, that's my business! Who th' hell are you anyways, disturbin' a citizen tax-payer on his lawful occasions? Are you Martians? I wouldn't put it pasht you!" He sat down and went back to sleep. The driver said fretfully, "He oughtn't to be here! But we ain't got room to carry him. I'm gonna use the truck radio an' ask what to do. Maybe they'll send a Army truck to get him outa here. He could set the whole town on fire!" He went out. The small man who was his helper followed him. He hadn't spoken a word. Lockley growled. Then Jill said breathlessly, "The switch-board has some long distance lines. I know how to connect them. Shall I try?" Lockley agreed emphatically. Jill slipped into the[105] operator's chair and donned the headset. She inserted a plug and pressed a switch. "I did an article once on how—Hello! Serena calling. I have a very important message for the military officer in command of the cordon. Will you route me through, please?" Her manner was convincingly professional. She looked up and smiled shakily at Lockley. She spoke again into the mouthpiece before her. Then she said, "One moment, please." She covered the mouthpiece with her hand. "I can't get the general," she said. "His aide will take the message and if it's important enough—" "It is," said Lockley. "Give me the phone." She vacated the chair and handed him the operator's instrument with its light weight earphones and a mouthpiece that rested on his chest. CHAPTER 7 49
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "My name's Lockley," said Lockley evenly. "I was in the Park on a Survey job the morning the thing came down from the sky. I relayed Vale's message describing the landing and the creatures that came out of the—object. I was talking to him by microwave when he was seized by them. I reported that via Sattell of the Survey. You probably know of these reports." A tinny voice said with formal cordiality that he did, indeed. "I've just managed to get out of the park," said Lockley. "I've had a chance to experiment with a stationary terror beam. I've information of some importance about detecting those beams before they strike." The tinny voice said hastily that Lockley should speak to the general himself. There were clickings and a long wait. Lockley shook his head impatiently. When a new voice spoke, he said, "I'm at Serena. I was brought here by a Wild Life Control trailer[106]-truck which picked us up just outside the Park. I mention that because the driver says he's driving it for the Army, now. The information I have to pass on is...." Curtly and succinctly, he began to give exact information about the terror beam. Its detection so that one need not enter it. The total lack of effectiveness of a Faraday cage to check it. Its use to block highways and its one use against a low-flying plane. The failure to search him out with that terror beam was to be noted. There was other evidence that the monsters were not monsters at all— The new voice interrupted sharply. It asked him to wait. His information would be recorded. Lockley waited, biting his lips. The voice returned after an unconscionably long wait. It told him to go ahead. The driver of the truck was taking a long time to make contact with the military. He'd have done better by telephone instead of short wave. The new voice repeated sharply for Lockley to go on with his story. And very, very carefully Lockley explained the contradictions in the behavior of the invaders. The blindfolds. The fact that it had been absurdly easy for four human prisoners in a compost pit shell to escape—almost as if it were intended for them to get away and report that their captors regarded men as on a par with game birds and rabbits and porcupines. True aliens would not have bothered to give such an impression. But men cooperating with aliens would contrive every possible trick to insist that only aliens operated at Boulder Lake. "I'm saying," said Lockley carefully, "that they do not act like aliens making a first landing on earth. Apparently their ship is designed to land in deep water. On a first landing, they should have[107] chosen the sea. But they knew Boulder Lake was deep enough to cushion their descent. How did they know it? They didn't kill us local animals for study, but they dropped in other local animals to convince us that they wouldn't mind. Why try to fill us with horror—and then let us escape?" The voice at the other end said sharply, "What do you infer from all this?" "They've been briefed," said Lockley. "They know too much about this planet and us humans. Somebody has told them about human psychology and suggested that they conquer us without destroying our cities or our factories or our usefulness as slaves. We'll be much more valuable if captured that way! I'm saying that they've got humans advising and cooperating with them! I'm suggesting that those humans have made a deal to run earth for the aliens, paying them all the tribute they can demand. I'm saying that we're not up against an invasion only by aliens, but by aliens with humans in active cooperation and acting not only as advisers but probably as spies. I'm—" "Mr. Lockley!" said the voice at the other end of the wire. It was startled and shocked. It became pompous. "Mr. Lockley, what has been your training?" The voice did not wait for an answer. "Where have you become CHAPTER 7 50
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. qualified to offer opinions contradicting all the information and all the decisions of scientists and military men alike? Where do you get the authority to make such statements? They are preposterous! You have wasted my time! You—" Lockley reached over and flipped back the switch he'd seen Jill flip over. He carefully put down the headset. He stood up. The driver and the small man came back. They picked up the sleeping drunk and moved toward the door. Something fell out of the drunk's pocket.[108] It was a wallet. They did not notice. They went out, carrying the drunk. Jill stooped and recovered it. She looked at Lockley's face. "What—" "I'm trying," said Lockley in a grating voice, "to figure out what to do next. That didn't work." "I'll be right back," said Jill. She went out to deliver the wallet to the driver, who had apparently been ordered to put the drunk in the trailer body and deliver him somewhere. Lockley swore explosively when she was gone. He clenched and unclenched his hands. He paced the length of the room. Jill came back, her face white. "They opened the door of the trailer to pass him in," she said in a thin, strained voice. "And there were other men back there. Several of them! And machinery! Not cages for animals but engines—generators—electrical things! I'm frightened!" "And I," said Lockley, "am a fool. I should have known it! Look here—" The frosted-glass door opened. The driver came back. He had a revolver in his hand. "Too bad!" he said calmly. "We should've been more careful. But the lady saw too much. Now—" The revolver bore on Lockley. Jill flung herself upon it. Lockley swung, with every ounce of his strength. He connected with the driver's jaw. The driver went limp. Lockley had the revolver almost before he reached the floor. "Quick!" he snapped. "Where was the machinery? Front or back part of the trailer?" "All of it," panted Jill. "Mostly front. What—" "The hall again," Lockley snapped. "Hunt for a back door!" He thrust her out. She fumbled toward the back of the building while he went to the street entrance.[109] The trailer-truck loomed huge. The driver's helper came out of it. Another man followed him. Still another.... Lockley fired from the doorway. One bullet through the front part of the truck. One near the middle. Then a third halfway between the first two. The three men dived to the ground, thinking themselves his targets. But Jill called inarticulately from the back of the dark hall. Lockley raced back to her. He saw starlight. She CHAPTER 7 51
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. waited, shivering. They went out and he closed the door softly behind him. He took her hand and they ran through the night. Overhead there was a luminous mistiness because of the street light, but here were abysmal darknesses between vague areas on which the starlight fell. Lockley said evenly, "We've got to be quiet. Maybe I hit some of the machinery. Maybe. If I didn't, it's all over!" The back of a building. An alleyway. They ran down it. There was a street with trees, where the street lights cast utterly black shadows in between intolerable glare. They ran across the street. On the other side were residences—the business district was not large. Lockley found a gate, and opened it quietly and as quietly closed it behind them. They ran into a lane between two dead, dark, dreary structures in which people had lived but from which all life was now gone. A back yard. A fence. Lockley helped Jill get over it. Another lane. Another street. But this street was not crossed—not here, anyhow—by another which led back to the street of the telephone office. A man could not look from there and see them running under the lights. The blessed irregularity of the streets continued. They ran and ran until Jill's breath came in pantings. Lockley was drenched in sweat because he[110] expected at any instant to smell the most loathesome of all possible combinations of odors, and then to see flashing lights originating in his own eyes, and sounds which would exist only in the nerves of his ears, and then to feel all his muscles knot in total and horrible paralysis. They heard the truck motor rumble into life when they were many blocks away. They heard the clumsy vehicle move. It continued to growl, and they knew that it was moving about the streets with its occupants trying to sight fleeing figures under the darknesses which were trees. "I hit—I hit the generator," panted Lockley. "I must have! Else they'd swing a beam on us!" He stopped. Here they were in a district where many large homes pooled their lawns in block-long stretches of soft green. The street lights cast arbitrary patches of brightness against the houses, but their windows were blank and dark. This street, like most in this small town, was lined with trees on either side. There were the fragrances of flowers and grass. "We aren't safe now," said Lockley, "but I just found out there may not be any safety anywhere." Jill's teeth chattered. "What will we do? What was that machinery? I felt—frightened because it wasn't what he said was back there. So I told you. But what was it?". "At a guess," said Lockley, "a terror beam generator. The invaders must have human friends. To us they're spies. They're cooperating with the monsters. Apparently they're even trusted with terror beam projectors." He stood still, thinking, while in the distance the trailer-truck ground and rumbled about the streets. It was not a very promising method for finding two fugitives. They could hide if it turned onto a street[111] they used. It could not continue the search indefinitely. The most likely final course would be to leave some of the unknown number of men in its trailer to search the town on foot. Even that might not be successful. But it wouldn't be a good idea for Lockley and Jill to remain here, either. "We look for two-car garages," said Lockley. "It's not a good chance, but it's all we've got. If somebody had two cars, they might have left one behind when they evacuated. I can jump an ignition switch if necessary. Meanwhile we'll be moving out of town, which is a good idea even if we do it on foot!" CHAPTER 7 52
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. They ceased to use the streets with their dramatic contrast of vivid lights with total shadows. They moved behind a row of what would be considered mansions in Serena, Colorado. Sometimes they stumbled over flower beds, and once there was a hose over which Jill tripped, and once Lockley barked his shin on a garden wheelbarrow. Most of the garages were empty or contained only tools and garden equipment. Then something made Lockley look up. A slender, truss-braced, mastlike tower rose skyward. It began on the lawn of a house with wide porches. There was a two-car garage with one wide door open. "A radio ham," said Lockley. "I wonder—" But he looked first in the garage. There was a car. It looked all right. He climbed in and opened the door. The dome light came on. The key was still in the ignition. He turned it and the gauge showed that the gas tank was three-quarters full. This was unbelievable good fortune. "They probably intended to use this and then changed their minds," said Lockley. "I'll get the door open and attempt a little burglary. Just one[112] burglary with a prayer that he used a storage battery for his power!" Breaking in was simple. He tried the windows opening on the main wide porch. One window slid up. He went inside, Jill following. The ham radio outfit was in the cellar. Like most radio hams, this one had battery-powered equipment as a matter of public responsibility. In case of storm or disaster when power lines are down, the ham operators of the United States can function as emergency communication systems, working without outside power. This operator was equipped as membership in the organization required. Lockley warmed up the tubes. He tuned to a general call frequency. He began to say, "May Day! May Day! May Day!" in a level voice. This emergency call has precedence over all other calls but S.O.S., which has an identical meaning. But "May Day" is more distinct and unmistakable when heard faintly. There were answers within minutes. Lockley snapped for them to stay tuned while he called for others. He had half a dozen hams waiting curiously when he began to broadcast what he wanted the world to know. He told it as briefly and as convincingly as he could. Then he said, "Over" and threw the reception switch for questions. There were no questions. His broadcast had been jammed. Some other station or stations were transmitting pure static with deafening volume, evidently from somewhere nearby. Lockley could not tell when it had begun. It could have been from the instant he began to speak. It was very likely that not one really useful word had been heard anywhere. But a direction finder could have betrayed his position.[113]
CHAPTER 8
It was a ticklish job getting the car out of the garage and into the street. Lockley was afraid that starting the motor would make a noise which in the silence of the town's absolute abandonment could be heard for a long way. The grinding of the starter, though, lasted only for seconds. It might make men listen, but they could hardly locate it before the motor caught and ran quietly. Also, the trailer-truck was still in motion and making its own noise. Of course it was probably posting watchers and listeners here and there to try to find Lockley and Jill. CHAPTER 8 53
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. So Lockley backed the car into the street as silently as was possible. He did not turn on the lights. He stopped, headed away from the area in which the truck rumbled. He sent the car forward at a crawl. Then an idea occurred to him and cold chills ran down his spine. It is possible to use a short wave receiver to pick up the ignition sparks of a car. Normally such sparkings are grounded so the car's own radio will work. But sometimes a radio is out of order. It was characteristic of Lockley's acquired distrust of luck and chance that he thought of so unlikely a disaster. He eased the car into motion, straining his ears for any sign that the truck reacted. Then he moved the car slowly away from the business district. It required enormous self-control to go slowly. While among the lighted streets the urge to flee at top speed was strong. But he clenched his teeth. A car makes much less noise when barely in motion. He[114] made it drift as silently as a wraith under the trees and the street lamps. They got out of town. The last of the street lamps was behind them. There was only starlight ahead, and an unknown road with many turns and curves. Sometimes there were roadsigns, dimly visible as uninformative shapes beside the highway. They warned of curves and other driving hazards, but they could not be read because Lockley drove without lights. He left the car dark because any glare would have been visible to the men of the trailer-truck for a very long way. Starlight is not good for fast driving, and when a road passes through a wooded space it is nerve-racking. Lockley drove with foreboding, every sense alert and every muscle tense. But just after a painful progress through a series of curves with high trees on either side which he managed by looking up at the sky and staying under the middle of the ribbon of stars he could see, Lockley touched the brake and stopped the car. "What's the matter?" asked Jill, as he rummaged under the instrument panel. "I think," said Lockley, "that I must have damaged something in that truck. Otherwise they'd have turned their beam on us just to get even. "But maybe they'll be able to make a repair. In any case there are other beams. Those are probably stationary and the truck knows where they are and calls by truck radio to have them shut off when it wants to go by. That would work. Using the Wild Life truck was really very clever." He wrenched at something. It gave. He pulled out a length of wire and started working on one end of it. "If they guess we got a car," he observed, "they'll expect us to run into a road block beam that would[115] wreck the car and paralyze us. I'm taking a small precaution against that. Here." He put the wire's end into her hand. "It's the lead-in from this car's radio antenna. It ought to warn us of beams across the road as my watch spring did in the hills. Hold it." "I will," said Jill. "One more item," he said. He got out of the car and closed the door quickly. He went to the back. There was the sound of breaking glass. He returned, saying, "No brake lights will go on now. I'll try to do something about that dome light." With a sharp blow he shattered it. "Now we could be as hard to trail as that Wild Life truck was the other night." Jill groped as the car got into motion again. "You mean it was—Oh!"
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "Most likely," agreed Lockley, "it was the thing that went out of the park and occupied Maplewood, flinging terror beams in all directions. Some of the truck's crew would have had footgear to make hoofprints. They committed a token burglary or two. And there was the illusion of aliens studying these queer creatures, men." They went on at not more than fifteen miles an hour. The car was almost soundless. They heard insects singing in the night. There was a steady, monotonous rumbling high above where Air Force planes patrolled outside the Park. After a time Jill said, "You seemed discouraged when you talked to that general." "I was," said Lockley. "I am. He played it safe, refused to admit that anybody in authority over him could possibly be mistaken. That's sound policy, and I was contradicting the official opinion of his superiors. I've got to find somebody of much lower rank, or much higher. Maybe—"[116] Jill said in a strained voice, "Stop!" He braked. She said unsteadily, "Holding the wire, I smell that horrible smell." He put his hand on the wire's end. He shared the sensation. "Terror beam across the highway," he said calmly. "Maybe on our account, maybe not. But there was a side road a little way back." He backed the car. He'd smashed the backing lights, too. He guided himself by starlight. Presently he swung the wheel and faced the car about. He drove back the way he had come. A mile or so, and there was another hard-surface road branching off. He took it. Half an hour later Jill said quickly, "Brakes!" The road was blocked once more by an invisible terror beam, into which any car moving at reasonable speed must move before its driver could receive warning. "This isn't good," he said coldly. "They may have picked some good places to block. We have to go almost at random, just picking roads that head away from the Park. I don't know how thoroughly they can cage us in, though." There was a flicker of light in the sky. Lockley jerked his head around. It flashed again. Lightning. The sky was clouding up. "It's getting worse," he said in a strained voice. "I've been taking every turn that ought to lead us away from the Park, but I've had to use the stars for direction. I didn't think that soldiers would keep us from getting away from here. I was almost confident. But what will I do without the stars?" He drove on. The clouds piled up, blotting out the heavens. Once Lockley saw a faint glow in the sky and clenched his teeth. He turned away from it at the first opportunity. The glow could be Serena,[117] and he could have been forced back toward it by the windings of the highway he'd followed without lights. Twice Jill warned him of beams across the highway. Once, driven by his increasing anxiety, his brakes almost failed to stop him in time. When the car did stop, he was aware of faint tinglings on his skin. There were erratic flashings in his eyes, too, and a discordant composite of sounds which by association with past suffering made him nauseated. Perhaps this extra leakage from the terror beam was through the metal of the car. When he got out of that terror beam the sky was three-quarters blacked out and before he was well away from the spot there was only a tiny patch of stars well down toward the horizon. There were lightning flickers overhead. After a time he depended on them to show him the road.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Then the rain came. The lightning increased. The road twisted and turned. Twice the car veered off onto the road's shoulders, but each time he righted it. As time passed conditions grew worse. It was urgent that he get as far as possible from Serena, because of the Wild Life truck which could seize Jill and himself if its beam generators were repaired, and whose occupants could murder them if they weren't. But it was most urgent that he get away beyond the military cordon to find men who would listen to his information and see that use was made of it. Yet in driving rain and darkness, without car lights and daring to drive only at a crawl, he might be completely turned around. "I think," he said at last, "I'll turn in at the next farm gate the lightning shows us. I'll try to get the car into a barn so it won't show up at daybreak. We might be heading straight back into the Park!" He did turn, the next time a lightning flash showed him a turn-off beside a rural free delivery[118] mailbox. There was a house at the end of a lane. There was a barn. He got out and was soaked instantly, but he explored the open space behind the wide, open doors. He backed the car in. "So," he explained to Jill, "if we have a chance to move we won't have to back around first." They sat in the car and looked out at the rain-filled darkness. There was no light anywhere except when lightning glittered on the rain. In such illuminations they made out the farmhouse, dripping floods of water from its eaves. There was a chicken house. There were fences. They could not see to the gate or the highway through the falling water, but there had been solid woodland where they turned off into the lane. "We'll wait," said Lockley distastefully, "to see if we are in a tight spot in the morning. If we're well away—and I've no real idea where we are—we'll go on. If not, we'll hide till dark and hope for stars to steer by when we go." Jill said confidently, "We'll make it. But where to?" "To any place away from Boulder Lake Park, and where I'm a human being instead of a crackpot civilian. To where I can explain some things to people who'll listen, if it isn't too late." "It's not," said Jill with as much assurance as before. There was a pause. The rain poured down. Lightning flashed. Thunder roared. "I didn't know," said Jill tentatively, "that you believed the invaders—the monsters—had people helping them." "The overall picture isn't a human one," he told her. "But there's a design that shows somebody knows us. For instance, nobody's been killed. At least not publicly. That was arranged by somebody[119] who understood that if there was a massacre, we'd fight to the end of our lives and teach our children to fight after us." She thought it over. "You'd be that way," she said presently. "But not everybody. Some people will do anything to stay alive. But you wouldn't." The rain made drumming sounds on the barn roof. Lockley said, "But what's happened isn't altogether what humans would devise. Humans who planned a conquest would know they couldn't make us surrender to them. If this was a sort of Pearl Harbor attack by human enemies—and you can guess who it might be—they might as well start killing us on the largest possible scale at the beginning. If monsters with no information about us landed, they might perpetrate some massacres with the entirely foolish idea of cowing us. But there haven't been any massacres. So it's neither a cold war trick nor an unadvised landing of CHAPTER 8 56
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. monsters. There's another angle in it somewhere. Monster-human cooperation is only a guess. I'm not satisfied, but it's the best answer so far." Jill was silent for a long time. Then she said irrelevantly, "You must have been a good friend of ... of...." "Vale?" Lockley said. "No. I knew him, but that's all. He only joined the Survey a few months ago. I don't suppose I've talked to him a dozen times, and four of those times he was with you. Why'd you think we were close friends?" "What you've done for me," she said in the darkness. He waited for a lightning flash to show him her expression. She was looking at him. "I didn't do it for Vale," said Lockley. "Then why?"[120] "I'd have done it for anyone," said Lockley ungraciously. In a way it was true, of course. But he wouldn't have gone up to the construction camp to make sure that anyone hadn't been left behind. The idea wouldn't have occurred to him. "I don't think that's true," said Jill. He did not answer. If Vale was alive, Jill was engaged to him; although if matters worked out, Lockley would not be such a fool as to play the gentleman and let her marry Vale by default. On the other hand, if Vale was dead, he wouldn't be the kind of fool who'd try to win her for himself before she'd faced and recovered from Vale's death. A girl could forgive herself for breaking her engagement to a living man, but not for disloyalty to a dead one. "I think," said Lockley deliberately, "that we should change the subject. I will talk about why I went to the Lake after you when everything has settled down. I had reasons. I still have them. I will express them, eventually, whether Vale likes it or not. But not now." There was a long silence, while rain fell with heavy drumming noises and the world was only a deep curtain of lightning-lighted droplets of falling water. "Thanks," said Jill very quietly. "I'm glad." And then they sat in silence while the long hours went by. Eventually they dozed. Lockley was awakened by the ending of the rain. It was then just the beginning of gray dawn. The sky was still filled with clouds. The ground was soaked. There were puddles here and there in the barnyard, and water dripped from the barn's eaves, and from the now vaguely visible house, and from the two or three trees beside it.[121] Lockley opened the car door and got out quietly. Jill did not waken. He visited the chicken house, and horrendous squawkings came out of it. He found eggs. He went to the house, stepping gingerly from grass patch to grass patch, avoiding the puddles between them. He found bread, jars of preserves and cans of food. He inspected the lane. The car's tracks had been washed out. He nodded to himself. He went back to the barn. There was still only dusky half-light. He pulled the doors almost shut behind him, leaving only a four-inch gap to see through. Now the car was safely out of sight and there was no sign that any CHAPTER 8 57
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. living being was near. "You closed the doors," said Jill. "Why?" He said reluctantly, "I'm afraid we're as badly off as we were at the beginning. Unless I'm mistaken, we got turned around in that rainstorm on those twisty roads, and the Park begins nearby. This isn't the highway I drove up on to find you, the one where my car's wrecked. This is another one. I don't think we're more than twenty miles from the Lake, here. And that's something I didn't intend!" He began to unload his pockets. "I got something for us to eat. Well just have to lie low until night and fumble our way out toward the cordon, with the stars to guide us." There was silence, save for the lessened dripping of water. Lockley was filled with a sort of baffled impatience with himself. He felt that he'd acted like an idiot in trying to escape the evacuated area by car. But there'd been nothing else to do. Before that he'd stupidly been unsuspicious when the Wild Life truck came down a highway that he'd known was blocked by a terror beam. And perhaps he'd been a fool to refuse to discuss why he'd gone up to the construction camp to see to her safety when[122] by all the rules of reason it was none of his business. The gray light paled a little. Through the gap between the barn doors, he could see past the house. Then he could see the length of the lane and the trees on the far side of the highway. He was laying out the food when suddenly he froze, listening. The stillness of just-before-dawn was broken by the distant rumble of an internal-combustion engine. It was a familiar kind of rumbling. It drew nearer. Except for the singularly distinct impacts of drippings from leaves and roof to the ground below, it was the only sound in all the world. It became louder. Jill clenched her hands unconsciously. "I don't think there are any car tracks at the turn-off where we came in," said Lockley in a level voice. "The rain should have washed them out. It's not likely they're looking for us here anyhow. But I've only got three bullets left in the pistol. Maybe you'd better go off and hide in the cornfield. Then if things go wrong they'll believe I left you somewhere." "No," said Jill composedly, "I'd leave tracks in the ploughed ground. They'd find me." Lockley ground his teeth. He got out the pistol he'd taken from the truck driver in the lighted room in Serena. He looked at it grimly. It would be useless, but.... Jill came and stood beside him, watching his face. The rumbling of the truck was still nearer and louder. It diminished for a moment where a curve in the road took the vehicle behind some trees that deadened its noise. But then the sound increased suddenly. It was very loud and frighteningly near. Lockley watched through the gap between the[123] barn doors. He stayed well back lest his face be seen. The trailer-truck with the Wild Life Control markings on it rumbled past. It growled and roared. The noise seemed thunderous. Its wheels splashed as they went through a puddle close by the gate. CHAPTER 8 58
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. It went away into the distance. Jill took a deep breath of relief. Lockley made a warning gesture. He listened. The noise went on steadily for what he guessed to be a mile or more. Then they heard it stop. Only by straining his ears could Lockley pick up the sound of an idling motor. Maybe that was imagination. Certainly at any other less silent time he could not possibly have heard it. Jill whispered, "Do you think—" He gestured for silence again. The distant heavy engine continued to idle. One minute. Two. Three. Then the grinding of gears and the roar of the engine once more. The truck went on. Its sound diminished. It faded away altogether. "They got to a place where the road's blocked with a terror beam," said Lockley evenly. "They stopped and called by short wave and the beam was cut off, then they went past the block-point and undoubtedly the beam was turned on again." He debated a decision. "We'll have breakfast," he said shortly. "We'll have to eat the eggs raw, but we need to eat. Then we'll figure things out. It may be that we'd be sensible to forget about cars and try to get to the cordon on foot, robbing farmhouses of food on the way. There can't be too many ... collaborators. And we could keep out of sight." He opened a jar of preserves. "But it would be better for you to be travelling by car, if tonight's clear and there's starlight to drive by."[124] Jill said practically, "There might be some news...." Her hands shook as she put the pocket radio on the hood of the car. Lockley noticed it. He felt, himself, the strain of their long march through the wilderness with danger in every breath they drew. And he was shaken in a different way by the proof that humans were cooperating fully with the invading monsters. It was unthinkable that anybody could be a traitor not only to his own country but to all the human race. He felt incredulous. It couldn't be true! But it obviously was. The radio made noises. Lockley turned it in another direction. There was music. Jill's face worked. She struggled not to show how she felt. The radio said, "Special news bulletin! Special news bulletin! The Pentagon announces that for the first time there has been practically complete success in duplicating the terror beam used by the space invaders at Boulder Lake! Working around the clock, teams of foreign and American scientists have built a projector of what is an entirely new type of electronic radiation which produces every one of the physiological effects of the alien terror beam! It is low-power, so far, and has not produced complete paralysis in experimental animals. Volunteers have submitted themselves to it, however, and report that it produces the sensations experienced by members of the military cordon around Boulder Lake. A crash program for the development of the projector is already under way. At the same time a crash program to develop a counter to it is already showing promising results. The authorities are entirely confident that a complete defense against the no longer mysterious weapon will be found. There is no longer any reason to fear that earth will be unable to defend itself against the invaders now present on earth, or any reinforcements they may receive!" [125] The newscast stopped and a commercial called the attention of listeners to the virtues of an anti-allergy pill. Jill watched Lockley's face. He did not relax.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. The broadcast resumed. With this full and certain hope of a defense against the invasion weapon, said the announcer, it remained important not to destroy the alien ship if it could be captured for study. The use of atom bombs was, therefore, again postponed. But they would be used if necessary. Meanwhile, against such an emergency, the areas of evacuation would be enlarged. People would be removed from additional territory so if bombs were used there would be no humans near to be harmed. Another commercial. Lockley turned off the radio. "What do you think?" asked Jill. "I wish they hadn't made that broadcast," said Lockley. "If there were only monsters involved and they didn't understand English, it would be all right. But with humans helping them, it sets a deadline. If we're going to counter their weapon, they have to use it before we finish the job." After a moment he said bitterly, "There was a time, right after the last big war, when we had the bomb and nobody else did. There couldn't be a cold war then! There were years when we could destroy others and they couldn't have fought back. Now somebody else is in that position. They can destroy us and we can't do a thing. It'll be that way for a week, or maybe two, or even three. It'll be strange if they don't take advantage of their opportunity." Jill tried to eat the food Lockley had laid out. She couldn't. She began to cry quietly. Lockley swore at himself for telling her the worst, which it[126] was always his instinct to see. He said urgently, "Hold it! That's the worst that could happen. But it's not the most likely!" She tried to control her tears. "We're in a fix, yes!" he said insistently. "It does look like there may be a flock of other space ship landings within days. But the monsters don't want to kill people. They want a world with people working for them, not dead. They've proved it. They'll avoid massacres. They won't let the humans who're their allies destroy the people they want alive and useful." Jill clenched her fists. "But it would be better to be dead than like that!" "But wait!" protested Lockley. "We've duplicated the terror beam. Do you think they'll leave it at that? The men who know how to do it will be scattered to a dozen or a hundred places, so they can't possibly all be found, and they'll keep on secretly working until they've made the beams and a protection against them and then something more deadly still! We humans can't be conquered! We'll fight to the end of time!" "But you yourself," said Jill desperately, "you said there couldn't be a defense against the beam! You said it!" "I was discouraged," he protested. "I wasn't thinking straight. Look! With no equipment at all, I found out how to detect the stuff before it was strong enough to paralyze us. You know that. The scientists will have equipment and instruments, and now that they've got the beam they'll be able to try things. They'll do better than I did. They can try heterodyning the beam. They can try for interference effects. They may find something to reflect it, or they can try refraction."[127] He paused anxiously. She sobbed, once. "But other weapons—" "There may not be any. And there's bound to be some trick of refraction that'll help. It thins out at the edges now. That's how we get warning of it. It's refracted by ions in the air. That's why it isn't a completely tight beam. Ions in the air act like drops of mist; they refract sunshine and make rainbows after rain. And we got CHAPTER 8 60
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. the smell-effect first. That proves there's refraction." He watched her face. She swallowed. What he'd said was largely without meaning. Actually, it wasn't even right. The evidence so far was that the nerves of smell were more sensitive than the optic nerves or the auditory ones, while nerves to bundles of muscle were less sensitive still. But Lockley wasn't concerned with accuracy just now. He wanted to reassure Jill. Then his eyes widened suddenly and he stared past her. He'd been speaking feverishly out of emotion, while a part of his mind stood aside and listened. And that detached part of his mind had heard him say something worth noting. He stood stock-still for seconds, staring blankly. Then he said very quietly, "You made me think, then. I don't know why I didn't, before. The terror beam does scatter a little, like a searchlight beam in thin mist. It's scattered by ions, like light by mist-droplets. That's right!" He stopped, thinking ahead. Jill said challengingly, "Go on!" Again what he'd said had little meaning to her, but she could see that he believed it important. "Why, a searchlight beam is stopped by a cloud, which is many mist-droplets in one place. It's scattered until it simply doesn't penetrate!" Lockley suddenly seemed indignant at his own failure to[128] see something that had been so obvious all along. "If we could make a cloud of ions, it should stop the terror beam as clouds stop light! We could—" Again he stopped short, and Jill's expression changed. She looked confident again. She even looked proud as she watched Lockley wrestling with his problem, unconsciously snapping his fingers. "Vale and I," he said jerkily, "had electronic base-measuring instruments. Some of their elements had to be buried in plastic because otherwise they ionized the air and leaked current like a short. If I had that instrument now—No. I'd have to take the plastic away and it couldn't be done without smashing things." "What would happen," asked Jill, "if you made what you're thinking about?" "I might," said Lockley. "I just possibly might make a gadget that would create a cloud of ions around the person who carried it. And it might reflect some of the terror beam and refract the rest so none got through to the man!" Jill said hopefully, "Then tonight we go into a deserted town and steal the things you need...." Lockley interrupted in a relieved voice, "No-o-o-o. What I need, I think, is a cheese grater and the pocket radio. And there should be a cheese grater in the house." He listened at the barn door gap, and then went out. Presently he was back. He had not only a cheese grater but also a nutmeg grater. Both were made of thin sheet metal in which many tiny holes had been punched, so that sharp bits of torn metal stood out to make the grating surface. Lockley knew that sharp points, when charged electrically, make tiny jets of ionized air which will deflect a candle flame. Here there were thousands of such points.[129] He set to work on the car seat, pushing the pistol with its three remaining bullets out of the way. The pistol was reserved for Jill in case of untoward events, when it would be of little or no practical value.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He operated on the tiny radio with his pocket-knife to establish a circuit which should oscillate when the battery was turned on. There was induction, to raise the voltage at the peaks and troughs of the oscillations. A transistor acted as a valve to make the oscillations repeated surges of current of one sign in the innumerable sharp points of the graters. And there was an effect he did not anticipate. The ion-forming points were of minutely different lengths and patterns, so the radiation inevitably accompanying the ion clouds was of minutely varying wave lengths. The consequence of using the two graters was, of course, that rather astonishing peaks of energy manifested themselves in ultra-microscopic packages for a considerable distance from the device. But Lockley did not plan that. It happened because of the materials he had to use in lieu of something better. When it was finished he told Jill, "I can only check ion production here. If it works, it ought to make a lighter-flame flicker when near the points. If it does that, I'll go up the road to where the trailer-truck stopped. I've a pretty good idea that the road's blocked by a terror beam there." Absorbed, he threw the switch. And instantly there was a racking, deafening explosion. The pistol on the car seat blew itself to bits, smashing the windshield and ripping the cushion open. The three cartridges in its cylinder had exploded simultaneously. Lockley seized a pitchfork. He stood savagely,[130] ready for anything. Powder smoke drifted through the barn. Nothing else happened. After long, tense moments, Lockley said slowly, "That could be another weapon the monsters have turned on. It's been imagined. They could be using a broadcast or a beam we haven't suspected to disarm the troops of the cordon. They could have a detonator beam that sets off explosives at a distance. It's possible. And if that's what they're turning on they only have to sweep the sky and the bombers aloft will be wiped out." But there were no sounds other than the slowly diminishing drip of water from the barn roof, and the house eaves, and the few trees in the barnyard. "Anyhow they've ruined our only weapon," said Lockley coldly. "It would be a detonation beam setting off the cartridges. That would be a perfect protection against atomic bombs, if the chemical explosive that makes them go off could be triggered from a distance. Clever people, these monsters!" Then he said abruptly, "Come on! It's ten times more necessary for us to get to where somebody can make use of our information!" "Go where?" asked Jill, shaken once more. "We take to the woods until dark," said Lockley, "and meanwhile I'll check this supposedly promising gadget—though it looks pretty feeble if the monsters have a detonating beam—against the road blocking beam up yonder. Come on!" He stuffed his pockets with food. He led the way. The morning had now arrived. The sun was visible, red at the eastern horizon. "Walk on the grass!" commanded Lockley. There was no point in leaving footprints, though there was no reason to believe the explosion on the car seat had been heard. Lockley, indeed, considered that if the aliens had just used a previously[131] undisclosed weapon, there would be explosions of greater or lesser violence all over the evacuated territory and all other CHAPTER 8 62
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. areas within its range. There wouldn't be many farmhouses without a shotgun put away somewhere. There would be shotgun shells, too. If the aliens had a detonator beam as well as one that produced the terror beam's effects, then all hope of resistance was probably gone. They crossed to the house and moved alongside it. They went with instinctive furtiveness out of the lane and quickly into the woodland on the farther side. They were soaked almost immediately. Fallen leaves clung to their shoes. Drooping branches smeared them with wetness. Lockley went barely out of sight of the highway and then trudged doggedly in the direction the Wild Life Control trailer-truck had taken. He handed Jill the ribbon of bronze that had been the mainspring of his watch. "We might pick up the beam from the wetness underfoot," he said, "but we'll play it safe and use this too." They went on for a long way. Lockley fumed, "I don't like this! We ought to be there—" "I think," said Jill, "I smell it." "I'll try it," said Lockley. He detected the jungle smell and its concomitant revolting odors. He led Jill back. "Wait here, by this big tree stump. I'll be able to find you and you're safe enough from the beam." He turned away. Jill said pleadingly, "Please be careful!" "A little while ago," he told her gloomily, "I felt that I had too much useful information to take any chances with my life, let alone yours. I'm not so sure of my importance now. But I think you still need somebody else around."[132] "I do!" said Jill. "And you know it! I'd much rather—" "I'll be back," he repeated. He went away, trailing the watch spring. He was extra cautious now. The smell recurred and grew stronger. He began to feel the first faint flashes of light in his eyes. It was the symptom which followed the smell when approaching a terror beam. Then a faint, discordant murmur, originating in his own ears. He turned on the device made of two graters and the elements of a pocket radio. The smell ceased. The faint flashes of light stopped. There was no longer a raucous sound. He turned off the ion producing device. The symptoms returned. He turned it on and off. He took a step forward. He tested again. The cloud of ions from the innumerable jagged points was invisible, but somehow it refracted or reflected—in any case, neutralized—the weapon of the beings at Boulder Lake. He went on and presently he felt the very faintest possible tingling of his skin and heard the barest whisper of a sound, and smelled the jungle reek as something so diluted that he was hardly sure he smelled it. He went on, and those faint sensations ceased. Presently, impatient of his own timorousness, he turned the device off again. He had walked through the terror beam. He started back with the device turned on once more and at the point where he'd felt the beam's manifestations faintly, he stopped to savor his now seemingly useless triumph. If the monsters had a detonating beam this meant nothing. Yet it could have meant everything. He paid close attention and distinctly but weakly CHAPTER 8 63
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. experienced the effect of the terror beam.[133] Then he didn't. Not at all. The sensations were cut off. He heard Jill cry out shrilly. He plunged toward the place where he had left her. He raced. He leaped. Once he fell, and frantically swore at the wet stuff that had caused him to slip. He reached the tree stump and Jill was not there. He saw the saucer-sized tracks her feet had made on the saturated fallen leaves. They led toward the road. He heard a car door slam and a motor roar. He plunged onward more desperately than before. The motor raced away. And Lockley got out on the highway only in time to see the rear of a brown-painted, military-marked car some three hundred yards away. It swept around a curve of the highway and was gone. It was going through the space where the road was blocked by a terror beam, headed obviously for Boulder Lake. What had happened was self-evident. From her place beside the huge stump she'd seen a military car approaching. And she and Lockley had been trying to reach the cordon of troops around Boulder Lake. There was no reason to distrust men in uniform or in a military car. She'd run to flag it down. She had. By a coincidence, it was undoubtedly where a carload of collaborating humans would have stopped to have the road-blocking beam cut off by their monster allies. She'd approached the stopped car. And something frightened her. She screamed. But she'd been pulled into the car, which went on before the beam could come on again to stop it.[134]
CHAPTER 9
It was very likely that at that moment Lockley despised himself more bitterly than any other man alive. He blamed himself absolutely for Jill's capture. If there were humans acting with the alien invaders, her fate would unquestionably be more horrible than at the hands of the monsters alone. After all, there was one nation most likely to deal with extra-terrestrial creatures to help them in the conquest of earth, and its troops were not notorious for their kindly behavior to civilians. And Jill was their captive. He'd been carried past the place where a terror beam blocked the road. The military markings might mean the car was stolen, or that its markings and paint were counterfeit. It seemed certain that Jill had gone up to it in confidence that there could only be American soldiers in such a car, and when near it found out her mistake too late. These were not things that Lockley thought out in detail at the beginning. He ran after the car like a mad man, unable to feel anything but horror and so terrible a fury that it should have killed its objects by sheer intensity. Presently he heard hoarse, gasping sounds. He realized that the sounds were the breath going in and out of his own throat, while Jill was carried farther and farther away from him in a car which traveled ten yards to his one. He sobbed then, and suddenly he was strangely and unnaturally calm. He was able to think quite coolly. The only difference between this and normal thinking was that now he[135] could only think about one thing—full and complete and terrible revenge for the crimes committed and to be committed against Jill. She would be taken to Boulder Lake. So he would go to Boulder Lake, and somehow, in some manner, he would destroy utterly all living beings there and every trace of their coming.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Which, of course, was both natural and unreasonable. But reason would have been unnatural at such a time as this. He moved along the highway in a passion of ultimate resolve. In the rest of the world, time passed without knowledge of his emotional state. The rest of the world was suffering emotional agonies of its own. The United States had become popular among peoples who disliked all things American except those they were given free, and who continued to dislike the givers. Now though, the United States had been invaded from space by creatures using weapons of unprecedented type and effect. If the United States were conquered, there was no other nation likely to remain free. So a great deal of anti-Americanism faded under pressure of an ardent desire for America to be successful in its self-defense. Moreover, anticipating other alien landings which could take place anywhere, the United States offered to share its stock of atom bombs with any nation so invaded. American popularity increased. The fact that the USSR made no such proposal also had its effect. The United States invited scientists of every country to help in solving the menace of the terror beam, and committed itself to share any discoveries for defense against it with all the world. Again there was an improvement in the public image of the United States abroad. But Lockley knew nothing of this. His pocket[136] radio no longer existed to give him news. It had been rebuilt into something else, whose most conspicuous parts were cheese and nutmeg graters, slung over his shoulder as he marched. But if he had known of changes in the popularity of his country, he wouldn't have been interested. He could fix his mind only on one subject and matters related to it. He tramped along the highway, possessed by a cold demon of hatred. He was on foot for lack of a car. He was unarmed. At the moment he believed that all the rest of humanity was disarmed, in effect if not in fact. So he had no plans, only an infinite hatred. But because he would have to pass through terror beams to get at those he meant to destroy, he realized that it was necessary to make sure that he would be able to pass through them, that his equipment for reaching Boulder Lake was in good order. It was still turned on. He turned it off to be economical of its batteries. He went on, thinking of only one subject, examining every possibility for revenge with a passionate patience, undiscouraged because one idea after another was plainly impossible, but continuing obsessively to think of others. He smelled the foetid odor, which cut through his absorption because of its connotations. He turned on his device and went doggedly ahead. He knew he had entered a terror beam by the faint perceptions which came through the cloud of ions his instrument produced. Then they ceased. He knew that the beam had been cut off. He heard a motor rev up. A car or truck had stopped beyond the road-blocking beam and waited for it to be cut off, as it had been. Lockley stepped into the woods hating the vehicle bitterly as it approached, but wanting to save[137] destruction for those where Jill had been taken. He was hidden when the car appeared. It was a perfectly commonplace car with a whip aerial at its rear. It came confidently along the highway. A hundred yards from him, there were explosions. Smoke came out of the open windows. The engine stopped and the car bucked crazily and went into the ditch beside the highway. A man plunged out, slapping at his leg. A revolver in its holster had exploded all its shells. The leather holster had saved him from serious injury, but his clothing was on fire. Other men, two of them, got out hastily. Things had exploded in the back of the car, too. The three men swore agitatedly.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Then one of them said something which stimulated the others to frantic flight down the highway away from the ditched car. The third man limped anxiously after the faster-moving two. Lockley, watching and hating with undivided attention, knew when the terror beam came on again. He felt it, very faint because of his protection, but quite distinct. The explosions had taken place when the car was in the area now covered again by the terror beam. The men in the car, astonished and scorched, had fled because the beam was due to come back on and they didn't want to be caught in it. Lockley noted that the human confederates of the monsters had no protection against the beam to match his own. Perhaps the monsters themselves were protected only near the projectors. This was an item affecting his plans of revenge for Jill. He stored it away in his mind. Then he realized that the weapons in the car had exploded just like the pistol on his own seat cushion. The explosion was not associated with the terror beam. There'd been no beam in action when his own pistol blew up. It[138] did not seem reasonable that if the monsters possessed a detonation beam that they'd turn it on their own confederates. No. Rational beings would do nothing so self-contradictory. Then Lockley looked down at the cheese grater-pocket radio device of his own manufacture. He considered the fact that his own pistol had exploded the instant he'd turned the gadget on. The weapons in the other car detonated when that car was near him. He plodded onward thinking very clearly and precisely about the matter. He even remembered to turn off his gadget because he would need it to avenge Jill. But when he tried to think of any subject unconnected with revenge, his mind became confused and agitated. Two miles along the highway, which had not yet turned to head in toward Boulder Lake, there was a farmhouse. Lockley walked heavily to the abandoned building. He found the door locked. Without conscious thought, he forced it. He searched the closets. He found a shotgun and half a box of shells. He considered them, then left the gun and all the shells but three. He went out. Presently he laid a shotgun shell down on the road. He paced off twenty-five yards and dropped another. He dropped a third twenty-five yards farther on, and then carefully counted off three hundred feet. The car had been just about that far away when the explosions came. He turned on his device. Two of the three shells exploded smokily. The farthest away did not explode. He did not rejoice. He went on without elation, but it became a part of his painstaking search for vengeance that he knew he could set off explosives[139] within a hundred and twenty-five yards of himself. There was something about the device he'd constructed which made explosives detonate, up to a distance of a little over one hundred yards. He felt no curiosity about it, though it was simple enough. The heterodyning of extremely saw-toothed waves produced peaks of energy until the saw-teeth began to smooth out. There were infinitesimal spots in which, for infinitesimal lengths of time, energy conditions comparable to sparks existed. This had not been worked out in advance, but the reason was clear. He came to the place where the main highway to Boulder Lake branched off from the road he was following. He turned into it, walking doggedly. Three miles toward the lake, an engine sounded from behind him. He got off the highway and turned the switch. A half-ton truck came trundling openly along the road. It came closer and closer. Small-arm ammunition exploded. The engine stopped and the light truck toppled over onto its side. Lockley did not approach it. Its driver might not be dead, and he would not find it possible to leave any man alive who CHAPTER 9 66
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. was associated with Jill's captors. He passed the truck and went on up the highway. Seven miles up the road a truck came down from Boulder Lake. Lockley placed himself discreetly out of sight. He turned on his instrument. A gun flew to pieces with a thunderous detonation. The truck crashed. It was interesting to Lockley that automobile engines invariably went dead at about the time that explosives went off. The fact was, of course, that ionized air is more or less conductive. In an ion cloud the spark plugs shorted and did not fire in the cylinders. There were two other vehicles which essayed to[140] pass Lockley as he went on up the long way to the lake. Both came from the interior of the Park. He left them wrecked beside the highway. Between times, he walked with a dogged grimness toward the place where Vale had been the first to report a thing come down from the sky. That had been how many days ago? Three? Four? Then Lockley had been a quiet and well-conducted citizen inclined to pessimism about future events, but duly considerate of the rights of others. Now he'd changed. He felt only one emotion, which was hatred such as he'd never imagined before. He had only one motive, which was to take total and annihilating vengeance for what had been done to Jill. He plodded on and on. He had to make a march of not less than twenty miles from the Park's beginning. He journeyed on foot because there were terror beams to pass and automobile engines did not run when his protective device operated. He could not arm himself from the cars that ditched, because all chemical explosive weapons and their ammunition blew at the same time. He was a minute figure among the mountains, marching alone upon a winding highway, moving resolutely to destroy—alone—the invaders from outer space and the men who worked with them for the conquest of earth. For his purpose he carried the strangest of equipment, a device made of a pocket radio and a cheese grater. He had food in his pockets, but he could not eat. During the afternoon he became impatient of its weight and threw it away. But he thirsted often. More than once he drank from small streams over which the highway builders had made small concrete bridges. At three in the afternoon a truck came up from[141] behind. Here he trudged between steep cliffs which made him seem almost a midget. The highway went through a crevice between adjoining mountainsides. There was no place for him to conceal himself. When he heard the engine, he stopped and faced it. The truck had picked up many men from wrecked cars along its route. There were scorched and scratched and wounded men, hurt by the explosion of their firearms. The truck brought them along and overtook Lockley. He waited very calmly since it did not seem likely that they would realize that one man had caused the crashes. The driver of the truck with the picked-up men did not even think of such a thing. Lockley seemed much more likely the victim of still another wreck. The overtaking truck slowed down. There would be no strangers in Boulder Lake Park. There would only be the task force aiding the monsters, as Lockley reasoned it out. So the truck slowed, preparatory to taking Lockley aboard. At a hundred and twenty-five yards from Lockley, weapons in the truck cab blew themselves violently apart. The engine, stopped in gear, acted as a violently applied brake. The truck swerved off the highway. It turned over and was still. Lockley turned and walked on. He considered coldly that it was perfectly safe for him to go on. There were no weapons left behind him. The men themselves were shaken up. They would attempt to make no trouble beyond a report of their situation and a plea for help. The report could be made by the radio, which was not CHAPTER 9 67
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. smashed. Half an hour later, Lockley felt the tingling which meant that his instrument was protecting him from a terror beam. The tingling lasted only a short time, but fifteen minutes later it came back. Then it re[142]turned at odd intervals. Five minutes—eight—ten—three—six—one. Each time the terror beam should have paralyzed him and caused intense suffering. A man with no protective device would have had his nerves shattered by torment coming so violently at unpredictable intervals. Lockley tried to reason out why this nerve-wracking application of the terror beam hadn't been used before. To an unprotected man it would be worse than continuous pain. No living man could remain able to resist any demand if exposed to such torture. The beam was evidently swung at random intervals, and the phenomenon lasted for an hour and a half. Anyone but Lockley behind a cloud of ions would have been reduced to shivering hysteria. Then, suddenly, the beamings stopped. But Lockley left his device in operation. Half an hour later still—close to five o'clock—it appeared that the invaders assumed that any enemy should have been softened up for capture. They sent an expedition to find out what had happened to their trucks and cars. Lockley saw four cars and a light truck in close formation moving toward him from the Lake. They were close, as if for mutual protection. They moved steadily, as if inviting the fate that had overtaken others. The short wave reports from smashed trucks seemed improbable to them, but the expedition was equipped to investigate even such unlikely happenings. The four cars in the lead contained five men each. Each man was armed with a rifle containing a single cartridge in its chamber and none in its magazine. The rifles pointed straight up. There was more ammunition in the light truck behind, and it was in clips ready for use, but the truck body was[143] of iron. If that ammunition detonated, it could do no harm. If it did not, it would be available for use against the single man mentioned by the driver of the last truck to be wrecked. But Lockley saw them coming. They came sedately down a long straight stretch of road. He climbed a rocky wall beside the highway to a little ravine that led away from the road. He posted himself where he was extremely unlikely to be seen. Then he waited. The cavalcade of cars appeared. It drove briskly toward Lockley at something like thirty miles an hour. Perhaps ten yards separated the lead car from the second. The truck was a trifle closer to the four man-carrying vehicles. They swept along, every man alert. They would pass forty feet below Lockley. He did nothing. His device was already turned on. He watched in detached calm. The lead car stopped as if it had run into a brick wall, while rifles inside it blew holes in its top. The second car crashed into it, rifles detonating. The third car. The fourth. The truck piled into the others with a gigantic flare and furious report, each separate brass cartridge case exploding in the same instant. The truck became scrap iron. Lockley went away along the small ravine. From now on he would avoid the highway. He estimated that he would arrive at Boulder Lake itself about half an hour after dark. It occurred to him that then Jill would have been a prisoner of the invaders for something more than twelve hours, at least ten of them at their headquarters.
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Before he began the climb that would take him to the invaders, Lockley stopped at a small stream. He drank thirstily.[144]
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There was a three-day-old moon in the sky when the last colors faded in the west. When darkness fell it was already low. It gave little light; not much more than the stars alone. It did help Lockley while it lasted however. He knew the terrain about Boulder Lake but not in detail. And it would not be wise for him to move openly to wreak destruction on the enemies of his nation. He used the moonlight for his approach by the least practical route to the lake. When it dimmed and went behind the mountains, he continued to climb, sliding dangerously, then descend and climb again as the rough going demanded. His mind was absorbed with reflections upon what he meant to do. The wrecks on the highway would have given notice to the invaders that he could do damage. They would take every possible precaution against him. It was typical of Lockley that he painstakingly imagined every obstacle that might be put in his way. During the last half hour of his scrambling travel, for example, he was tormented by a measure his enemies might have used to make him advertise his presence. If they simply laid rifle cartridges on the ground at intervals of twenty-five or fifty yards, he could not cross that line with his device in operation without blowing up those shells. It was a possible countermeasure that caused him to sweat with worry. But it wasn't thought of by anyone else. To contrive it, a man would have to know how the deto[145]nation field worked and how far it extended. Nobody but Lockley knew. Therefore no one could contrive this defense against him. He worked his way to Boulder Lake's back door through brushwood and over boulders. Presently he looked down upon his destination. To his right and left rocky masses were silhouetted against the starry sky. He gazed down on the lake and the shoreline where the hotel would be built, and the places where roads came out of the wilderness. There were changes since the time he'd looked down from Vale's survey post and before the terror beam captured him. He catalogued them mentally, but the sight before him was intolerable. Everything he saw, here where space monsters were believed to hold sway, was in reality the work of men. Rage filled him at the sight. Hatred. Fury.... In the rest of the world an entirely different sort of emotion was felt about the subject of the invaders. The United States had announced to all the world that American and other scientists, working together, had solved the mystery of the alien weapon. They had produced a duplicate of the terror beam. It was no less effective and no less an absolute weapon than the invaders'. And a defense had been found which was complete. It was being rushed into production. The experimental counter beam generators would be moved into position to frustrate and defeat the monsters who had landed upon earth. Military detachments, protected by the counter generators, would move upon Boulder Lake at dawn. By sunset tomorrow the aliens would be dead or captive, and their ship would undoubtedly be in the hands of scientists for study. Moreover, the United States would provide counter weapons for other nations. In no more than months every continent and nation on earth would[146] be equipped to defy any alien landing that might take place. The world would be able to defend itself. It would be equipped to do so. And this was the resolve of the United States because the world could not exist half free and half enslaved by creatures from a distant planet. The CHAPTER 10 69
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. news poured out from all sources. The alien weapon was understood and now could be defied. Soon all the world would be provided with counter weapons. It was necessary for all the world to be prepared and prepared it would be. This was the information which made all the world rejoice, though not yet at ease because aliens still occupied a tiny part of the earth. But all the world was eager for confirmation of the news it had just received. Lockley had no such soothing anticipations. He shook with fury because what he saw before him was so appalling as to be almost unbelievable. It was not dark in the space he looked down upon. There were bright floodlights placed here and there to drench a large area with light. There were few figures in sight. But what the floodlights showed made Lockley quiver with hatred. The floodlights were of typically human type. There were vehicles parked on a level grassy space. They were of human manufacture. There was no space ship in the lake, but there was a three-stage rocket set up, ready for firing. It was of the kind used by humans to put artificial satellites into orbit. Lockley even knew its designation, and that it used the new solid fuels for propulsion. In the lair of the creatures from outer space there was nothing from outer space. There was nothing in view which was alien or unearthly or extra-terrestrial. And Lockley made inarticulate growling sounds because he saw with absolute clar[147]ity and certainty that there never had been anything from outer space at this spot. There were no monsters. There never had been. And the truth was more horribly enraging than the deception had been. Because this could mean the death of the world. This was an attempt to fight the last war on earth in disguise. Humans had posed as non-human beings so that America would fight against phantoms while its great military rival pretended to help and actually stabbed from behind. It was completely logical, of course. An admitted attack by terror beams in the form of death rays would involve retaliation by America. Against a human enemy great, roaring missiles could circle earth to plunge down upon that enemy's cities to turn them and their inhabitants into incandescent gas. An attack known to be by humans and upon humans must touch off the world's last war in which every living thing might die. No conceivable success at the beginning could prevent full retaliation. But if the attack were believed to be from space, then American weapons and valor would be spent against creatures which were no more than ghosts. Lockley moved forward. Only he could know the situation as it presented itself here. Even vengeance for Jill should be put aside, if it called for action irrelevant to this state of things. But it did not. A full and terrible revenge for her required exactly the action the coolest of cold-blooded resolutions would suggest be taken now. And Lockley moved on and downward to take it. He began to crawl downhill toward the lights, unaware that there were some gaps in his picture of the total scene. For example, these lights could be detected by aircraft overhead. The fact did not occur to Lockley. He was not given pause by the[148] relaxation of the enemy's disguise so far as air observation was concerned. He didn't think of it. He moved on. He drew near the lighted area. He did not walk, he crawled. He began to listen with fury-sharpened ears. If he could get close to that huge rocket, close enough to detonate its solid fuel stores....
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. That would be at once revenge and expedience. If the rocket's fuel blew up instead of burning as intended, it would annihilate the camp. It would wipe out every living creature present. But there would be fragments left by the explosion. There would be corpses. There would be wreckage. And that wreckage and those corpses would be unmistakably human. The last war on earth might not be avoided, but at the worst it would be fought against America's actual enemy and not against imaginary monsters. It was worth dying to accomplish even that. But Jill.... Lockley's progress was infinitely slow, but he needed to take the greatest pains. He listened carefully. He heard the faint high roaring of the planes overhead. They were far away. There were sounds of insects, and the cries of night birds, and the rustling of leaves and foliage. There was another sound. A new sound. It was inexplicable. It was a strange and intermittent muttering. There was a certain irregular rhythm to it, a familiar rhythm. He crawled on. There was movement suddenly, off to his left. Then it stopped. It could be a man on watch against him simply shifting his position. Lockley froze, and then went on with even greater caution. He felt[149] the ground before him for small twigs that might crack under his weight. The muttering continued. Presently Lockley realized that it was a human voice. It was resonant and with many overtones, but still too faint for him to distinguish words. He crossed a slight rise that had much brushwood. The brushwood grew in clumps and he circled them with a patient caution foreign to his feelings. The muttering changed and went on. Lockley pressed himself to the ground. Men went past him a hundred feet away. He saw them in outline against the illuminated parked cars and trucks and in the space around the huge rocket. They carried no rifles, probably no firearms at all. Lockley's march up the highway had warned them of the uselessness of guns, at least at short range. They were watching for him now. Perhaps these men were relieving other watchers on the hillside. He saw other men. They seemed to move restlessly around the lighted area. The muttering was louder now. He could almost catch the words. He made another hundred yards toward the rocket and the voice changed again. Then he was dazed. The voice was speaking to him! Calling him by name! "Lockley! Lockley! Don't do anything crazy! Everything can be explained! You'll recognize my voice. You talked to me on the telephone from Serena!" Lockley did recognize the voice. It was that of the general who'd sounded pompous and indignant as he refused to listen to Lockley's statements. Now, coming out of many loudspeakers and echoing hollowly from cliffs, it was the same voice but with an intonation that was persuasive and forthright.[150] "You startled me," said the voice crisply. "You'd found out there were humans involved in this business. It was important that the fact be suppressed. I tried to browbeat you, which was a mistake. While I was talking to you your suspicion was reported on short wave by the Wild Life driver. I tried to overawe you. You're the wrong kind of man for that. But everything can be explained. Everything! Here's Vale to prove it!" CHAPTER 10 71
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. There was only an instant's pause. Then Vale's voice came out of the loudspeakers spread all about. "Lockley, this is Vale. The whole thing's faked. There's a good reason for it, but you stumbled on the facts. They had to be kept secret. I didn't even tell Jill. This isn't treason, Lockley. We aren't traitors! Come out and I'll explain everything. Here's Sattell." And Sattell's voice boomed against the hills. "Vale's right, Lockley! I didn't know what was up. I was fooled as much as anybody. But it's all right! It's perfectly all right! When you understand you'll realize that you had to be deceived just as I was. Come on out and everything will be explained to your satisfaction. I promise!" Lockley grimaced. How did Sattell get up here? And the general in command of the cordon? More than that, why did they call his name instead of simply trying to kill him? Why post watchers on the hillsides if they were anxious to explain and not to murder? How could they hope to deceive him after Jill.... There was a pause, and then what was evidently considered a decisive message came. It was Jill's voice, weary and desperate. It said, "Please come out and listen! Please come and let them explain everything. They can do it. I understand and I believe them. It's true. It's not treason. I—I beg you to come out and let them tell you why all this has happened...." [151] Her voice trailed off. It had trembled. It was tense. It was strained. And Lockley cursed softly, shaking with rage. Then the first voice returned, "Lockley! Lockley! Don't do anything crazy! Everything can be explained. You'll recognize my voice. You talked to me on the telephone from Serena." This voice repeated, word for word and intonation for intonation, exactly what it had said before. The other voices followed in the same order. They were taped. In Lockley's state of mind, the taping took away all authority from the voices. Jill, in particular, sounded as she might have if torture had been used to break her will and force her to say what her captors wished. She could not put any warning into it, because she could have been forced to repeat and repeat the message until her captors were satisfied. That would all be avenged now. All of it. And Jill would be grateful to Lockley even if they never saw each other again; grateful for the monstrous blast that would wipe this place clean of living creatures. Lockley suddenly saw a way by which his vengeance could be increased by just a little. It could be made even more satisfying and just. Hiding under brushwood while the voices tirelessly repeated their recorded persuasion, he made a very simple device. It switched onto the instrument he carried. If his hand clenched, it would go on. If his hand relaxed, it would go on. So if he could get within a hundred and twenty-five yards of the rocket he could show himself and let them know what waited for them, and why. With infinite patience he got to a place almost[152] near the circle of unarmed guards about the rocket. He waited. The guards were tense. They did not like trying to protect something with no weapons. They were jumpy. The endlessly repeated messages booming into the night frayed their nerves. They were plainly on edge. Their tenseness made the oldest trick in the world serve Lockley's purpose. He threw a stone from an especially dark shadow. It struck and bounced upon another stone, and it created a rustling of brushwood at a place distant from Lockley. And the unarmed guards plunged for that place to seize whatever or whoever had made the disturbance. CHAPTER 10 72
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. They were too eager. They stumbled upon each other. And Lockley ran, and a voice cried out in terror. And then Lockley stood with his back to the rocket's lower parts, and he waved the cheese grater derisively and shouted. Then there was stillness. Only the booming voice from the speakers went on. It happened to be Sattell's voice. " ... all right. It's perfectly all right. When you understand you'll realize that you had to be deceived as I was. It was necessary. Come out and everything—" Somebody cut off the recorder. There was a moment of blank indecision, and then a man in uniform with two general's stars on his shoulders came out of somewhere and walked to face Lockley. "Ah, Lockley!" he said briskly. "That's the thing you smash cars and explode ammunition with, eh? Do you think it will blow the rocket?" "I'm going to try it!" said Lockley. "Listen." He showed how anything that could be done to him would close the switch one way or the other. "I[153] wanted you to know before I blow it!" he said fiercely. "Where's Jill? Jill Holmes? One of your cars picked her up and brought her here. Where is she?" "We sent her," said the general, "over to the construction camp, in case you managed to get in the exact situation you're in. In other words, she's safe. She'll be coming shortly, though. She was to be notified the instant you appeared—if the rocket didn't blast as your greeting." Lockley ground his teeth. "We'll have this settled before she gets here!" Vale appeared. He walked forward and stood beside the general. "We did a job that was several times too good, Lockley," he said ruefully. "I'd rehearsed my song-and-dance until we thought it was perfect. What made you suspicious, Lockley? Did you notice we kept the communicator aimed right so you'd hear through to the end? A fine point, that. We worried about it." The headlights of a car moved against a mountainside. "You see," said Vale, "the thing had to be done this way! Sattell swore a blue streak when it was explained to him. He felt he'd been made a fool of. But there are some things that can't be handled forthrightly!" Lockley felt physically ill. Jill had been—still was—engaged to Vale. She'd been anxious about him. She'd been loyal to him. And he was helping the invaders! He opened his mouth to speak bitterly, when Sattell appeared. He lined up beside the general and Vale. "They fooled me too, Lockley," he said wryly. "But it's all right. They had to. They thought you were fooled. Those three men in the box with you[154] the other day, they said you were fooled, too. And they're sharp secret service men!" "You're very convincing, aren't you?" he raged. "But—" "You believe," said Sattell, "I've joined up with spies and traitors. You believe...."
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. He outlined, with precision, exactly what Lockley did believe; that phantom monsters were to be credited with waging war against America while another nation actually murdered Americans. It was a remarkably accurate picture of Lockley's state of mind. "But that's all wrong!" insisted Sattell. "This is a quick trick by our own people for our own safety. For the benefit of all the world. It's a trick to forestall just what I described!" The far away headlights drew nearer. But no car could have come from the construction camp as quickly as this. "The fact is," said the general, "that our spies tell us that another very great nation has developed this beam we've been demonstrating to all the world. So did we. And we couldn't use it, but they would! If they didn't use it against us, they'd use it for any sort of emergency dirty trick. So we made up this invasion to persuade every country on earth to arm itself against this particular weapon. Nothing less than monsters in space would justify arming, in the eyes of some politicians! Of course, they'll arm against us as well as—anybody else." He spoke matter-of-factly. A glance at Lockley's face would have told him that persuasiveness would not work. "This trick, with the defense we intended to reveal," the general added, "should mean that a very nasty weapon won't ever be used, either to start or end a war. Maybe the war won't occur because[155] we've said there are monsters who fly around in space ships." Lockley had a confused impression that he was dreaming this. It was not the way things should happen! This was not true! When he squeezed or released the improvised switch in his hand, the rocket behind him would disappear in a monstrous flame, and he and the three men who faced him would, vanish, and there would be an explosion crater here and a shattered mass of wrecked cars— "It was an interesting job," said Vale. "The Army dumped a hundred tons of high explosive into the lake. The two radars that reported a ship in space were arranged to be operated by two special men, who got their orders directly from the President. We picked a day with full cloud cover; the radar operators inserted their faked tapes and made their reports; and the Army set off the hundred-ton explosion in the lake. From there on, it was just a matter of using the terror beam." "I mention," said the general mildly, "that not one human being has been killed by anything we've done. Would you expect traitors to be so careful? Or spies?" Lockley said thickly, "You stand there arguing. You're trying to make me believe you. But there's Jill! What's happened to her? How did you make her record that tape? Where's Jill? She won't tell me it's all right!" Headlights swept up to the floodlit space. The car stopped. Jill came into view. She saw Lockley, standing against the rocket's base. She ran. She stood beside the general and Vale and Sattell. She looked worn and desperately anxious. "What have they done to you?" demanded Lockley fiercely.[156] She shook her head.
CHAPTER 10
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The Project Gutenberg eBook of Operation Terror, by Murray Leinster. "N-nothing. I couldn't stay at the camp when I was so sure you'd come to try to help me. So I came here. I don't know what they've told you yet, but it's all right. We were fooled as the world has to be. Believe it! Please believe it!" "What have they done to you?" he repeated terribly. "What have they done to the world?" demanded Jill. "They've made every nation look to us as the defender of their freedom. And we are! They've made everybody ready to fight against more monsters if they come, and to fight against men if they try to enslave them with the terror beam or anything else! Would traitors have done that?" Lockley knew that he had to decide. It was an unbearable responsibility. He was not convinced, even by Jill. But he was no longer certain that he'd been right. "Why didn't you kill me?" he demanded. "I could have been shot down from a distance. You didn't have to come close to talk to me. If the rocket blew, what would it matter?" "You've got a protection against the terror beam," said the general matter-of-factly. "So have we. But ours weighs two tons. Yours can be carried without being a burden. And—" his eyes went to the unlikely cheese grater over Lockley's shoulder—"and yours detonates explosives. If we can equip the world with those, Lockley, we'll have peace!" Lockley thought of a decisive test. He grimaced. "You want me to risk being a traitor! All right, what's in it for me? What am I offered?" The general shrugged, his eyes hardening. Vale spread out his hands. Sattell snorted. Jill moistened her lips. Lockley turned upon her. "You want me to believe," he said harshly. "What[157] do you offer if I turn over the thing to these men you say are honest men and neither spies or traitors. What do you offer?" She stared at him. Then she said quietly, "Nothing." Lockley hesitated once more, for a long instant. But that was the right answer. Nobody who'd been bought or bribed or frightened into being a traitor would have thought of it. "That," said Lockley, "by a strange coincidence happens to be my price." He ripped away a wire. He flung the queer combination of pocket radio and cheese and nutmeg graters to the general. "I'll explain later how it works," he said wearily, "—if I haven't made a mistake." After a suitable time the general came to him. Lockley was convinced, now. The reaction of the men who'd been guards and truck drivers and the like was conclusive. They regarded him with a certain cordial respect which was not the reaction of either traitors or invaders. "We've been checking that little device, Lockley," said the general happily. "It's perfect for our purposes! So much better than a two-ton generator to interfere with and cancel the terror beams! Marvelous! And do you know what it means? With all the world believing we've been attacked from space, and with our great show of CHAPTER 10 75
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. taking back Boulder Lake—" "How will you manage that?" asked Lockley, without too much interest. "The rocket," said the general, beaming. "When troops start into the Park, the rocket takes off. It heads for empty space. And we explain that the aliens went away when they found their weapon[158] useless and we started to get rough with them!" "Oh," said Lockley listlessly. "But the really beautiful thing," the general told him, "is your gadget! They can be made by millions. Ridiculously cheap, they tell me. Everybody in the world will want one, and we'll pass them out. No government could stop that! Not even Russia! But—d'you see, Lockley?" Lockley shook his head. He always had a tendency to look on the dark side of future events. The future did not look bright to him. "Don't you see?" demanded the general, chuckling. "They detonate explosives, those little gadgets! There's no harm in that! Where explosives are used in industry you've only to make sure that nobody turns one on too close. In nine-tenths of the world, anyhow, civilians aren't allowed to have guns. But think of the consequences there!" Lockley was weary. He was dejected. The general grinned from ear to ear. "Why, when these are distributed, even the secret police can't go armed! What price dictators then? For that matter, what price soldiers? The cold war ends, Lockley, because there couldn't be a conquering army in the modern sense. The tanks wouldn't run. The cars would stall. And the guns—An invasion would have to be made with horse-drawn transport and the troops armed with bows and spears. That amounts to disarmament, Lockley! A consummation devoutly to be wished! I'm going to look forward to a ripe old age now. I never could before!" Presently Lockley talked to Jill. She was constrained. She seemed uneasy. Lockley felt that there wasn't much to say, now that Vale was alive[159] and well and there was no more danger for her. He offered his hand to say good-bye. "I think," she said with a little difficulty, "I think I should tell you I'm not—engaged any longer. I—told him I—wouldn't want to be married to someone whose work made him keep secrets from me." Lockley tensed. He said incredulously, "You're not going to marry Vale?" She said nervously. "No-o-o. I've told him." Lockley swallowed. "What did he say?" "He—didn't like it," said Jill. "But he understood. I explained things. He said—he said to congratulate you." CHAPTER 10 76
The Project Gutenberg eBook of Operation Terror, by Murray Leinster. Lockley made an appropriate movement. She wept quietly, held close in his arms. "I was so afraid you didn't—you wouldn't—" Lockley took appropriate measures to comfort her and to assure her that he did and he would, forever and ever. A very long time later he asked interestedly, "What did you say to Vale when he asked you to congratulate me?" "I said," said Jill comfortably, "that I would if things worked out all right. And they have. I congratulate you, darling. Now how about congratulating me?" The rocket took off and went away into emptiness. This was near dawn, when military announcements of the reoccupation of Boulder Lake were being passed out to the news media. As much of the public as was awake was informed that the monstrous aliens had fled from earth, their intentions frustrated by the work of scientists. It wasn't necessary for a large force to march in. A special detail took over at the lake itself. Curiously enough,[160] it seemed to be already there when the question arose. It would report a regrettable absence of alien artifacts by which the monsters might be kept in mind. But there would be reminders. Later bulletins would report that the United States was putting into quantity production the small, individual protective devices which defied the terror beam and would supply them to all the world. There could not be greater friendship than that! The United States also proposed a world wide alliance for defense against future attacks by space monsters, with pooled armament and completely cooperative governments. The world, obviously, would unite against monsters. And people in a posture of defense against enemies from the stars obviously wouldn't fight each other. And there were some people who were pleased. They knew about the possibilities of the small gadgets, brought down in production to the size of a pack of cigarettes. Knowing what they could do, they waited very interestedly to see what would happen in certain nations when secret police couldn't carry firearms and soldiers could only be armed with spears. They expected it to be very interesting indeed.
End of Project Gutenberg's Operation Terror, by William Fitzgerald Jenkins *** END OF THIS PROJECT GUTENBERG EBOOK OPERATION TERROR *** ***** This file should be named 17870-h.htm or 17870-h.zip ***** This and all associated files of various formats will be found in: Produced by Greg Weeks, Geoffrey Kidd, Sankar Viswanathan, and the Online Distributed Proofreading Team at CHAPTER 10 77
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23697,
1358,
29739,
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7380,
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1384,
13271,
1457,
1476,
1523,
24940,
1385,
1348,
2759,
10311,
6099,
8947,
1358,
15135,
72,
5,
5,
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3775,
1751,
18836,
3554,
1377,
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1358,
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13021,
1379,
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3736,
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5,
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2219,
4529,
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6288,
3736,
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1551,
1367,
1520,
23365,
1457,
3109,
19413,
2524,
7130,
1358,
10311,
72,
1900,
1789,
1379,
1358,
11733,
18741,
7941,
1384,
1523,
13252,
1525,
1358,
7894,
72,
1507,
12103,
23365,
1727,
28619,
1421,
1766,
2189,
59342,
3266,
59342,
1384,
12541,
59342,
2154,
3938,
1371,
1842,
1457,
2911,
3771,
3911,
72,
59354,
59320,
63,
47640,
6158,
59320,
59345,
59345,
59384,
59324,
59342,
59340,
5,
5,
4268,
27013,
12349,
1348,
15135,
1457,
1523,
38691,
1432,
2566,
9248,
1696,
2617,
7130,
1358,
7941,
72,
1507,
39063,
3871,
1379,
1458,
38691,
2919,
56833,
15021,
38952,
11313,
1458,
38691,
2957,
1457,
1410,
2617,
7130,
1358,
7941,
1384,
27422,
1367,
1525,
1358,
7894,
72,
1646,
8535,
59342,
1358,
29739,
9798,
7380,
1410,
14301,
3736,
1448,
1551,
1367,
1520,
23365,
59342,
6290,
27422,
1525,
1645,
16809,
72,
5,
5,
4268,
3766,
57667,
1458,
38691,
2919,
56833,
59342,
2636,
1972,
1358,
11851,
49496,
15135,
59342,
1697,
1410,
2617,
7130,
1358,
7941,
1384,
27422,
1367,
1525,
1358,
7894,
59342,
1384,
1751,
16424,
1358,
10311,
72,
1900,
13021,
15076,
1377,
1433,
1808,
8535,
1385,
1358,
29739,
9798,
7380,
1377,
1358,
2738,
1359,
59342,
1697,
1410,
14301,
22935,
1520,
23365,
59342,
6290,
27422,
1525,
1645,
16809,
2596,
1358,
10311,
27919,
3019,
1358,
55747,
14035,
1379,
1358,
15135,
72,
5,
5,
22054,
2181,
59342,
3036,
1536,
10409,
27013,
59358,
5,
59354,
59380,
6787,
1358,
10311,
59342,
1696,
1510,
1358,
4807,
1379,
1358,
5348,
11733,
59342,
1887,
14975,
1348,
15135,
1697,
1523,
2264,
1385,
1441,
1358,
7486,
1604,
1389,
1379,
2054,
1645,
72,
5,
5,
59357,
1897,
6158,
1426,
59345,
59345,
59362,
59333,
59347,
12349,
1358,
15287,
1467,
1772,
1541,
1594,
2521,
1384,
2362,
17379,
1603,
17715,
1450,
1895,
32791,
19563,
12103,
1358,
24179,
1772,
32022,
7130,
1358,
10311,
72,
59361,
3519,
59342,
1358,
4631,
10074,
1457,
1536,
24179,
59342,
1348,
8573,
1385,
1772,
32022,
7130,
1358,
7941,
17715,
1410,
14671,
24940,
1385,
1358,
15135,
72,
8513,
59342,
1476,
1571,
1441,
27444,
1467,
59358,
1772,
6619,
1358,
4807,
1379,
1358,
5348,
11733,
14975,
1348,
15135,
1457,
18741,
1508,
8354,
7130,
1358,
10311,
72,
59361,
3721,
1875,
17667,
5128,
58291,
59342,
1384,
3985,
59342,
2009,
39737,
30404,
1457,
1358,
15135,
1523,
7941,
2175,
63,
41924,
1384,
2617,
1385,
1358,
10311,
72,
5,
5,
2219,
29739,
9798,
7380,
6087,
1368,
1364,
2545,
1520,
25050,
1348,
10311,
1385,
1358,
11760,
59342,
47465,
3019,
1358,
15135,
59361,
59328,
21202,
59342,
1467,
6809,
10097,
72,
11658,
59342,
1358,
4478,
3303,
1379,
1358,
8107,
4342,
1510,
1452,
29685,
1420,
1873,
1442,
1382,
11019,
3505,
4582,
72,
27394,
1358,
4611,
3775,
32516,
1358,
4342,
1523,
59320,
59367,
59344,
1433,
5126,
1426,
59367,
72,
59387,
10390,
59347,
6208,
1358,
15135,
59342,
1536,
6087,
6400,
1476,
1432,
1348,
24094,
1865,
59320,
59349,
59344,
59344,
1433,
5126,
1426,
59349,
59362,
10390,
59347,
5666,
1358,
15135,
72,
5,
5,
59374,
1642,
1358,
15135,
59342,
1384,
1751,
30319,
1736,
4520,
1835,
37033,
1433,
5126,
4462,
59342,
1887,
1523,
1348,
14329,
1379,
30001,
6336,
1432,
1645,
9248,
59342,
10954,
1467,
1358,
8107,
59361,
59328,
3303,
1426,
59357,
1897,
6158,
59320,
59345,
59345,
59362,
59333,
59347,
72,
1507,
4859,
2296,
3126,
19770,
2264,
1385,
7750,
1358,
4342,
25734,
3351,
8362,
72,
1507,
6087,
21724,
2009,
1467,
10050,
17296,
1379,
4529,
1384,
3126,
1899,
1951,
1358,
24094,
3811,
59342,
1697,
1952,
1580,
7615,
4529,
3235,
1385,
1358,
6285,
1977,
53872,
11733,
72,
1900,
24710,
1821,
59328,
1358,
4611,
3775,
59342,
1697,
12349,
2009,
1467,
1772,
57649,
11392,
59361,
1379,
3126,
59342,
5069,
42379,
6594,
1959,
1358,
9356,
1367,
24512,
1384,
3897,
2054,
14483,
2025,
1520,
15252,
72,
5,
5,
59354,
2571,
59335,
8637,
1358,
6691,
59342,
1544,
3736,
1448,
1551,
1367,
1358,
24094,
59342,
2132,
2271,
1608,
5142,
59342,
1450,
43339,
17296,
1379,
10311,
1384,
4529,
59342,
18647,
1377,
3266,
1384,
2189,
59342,
32070,
1939,
4529,
1384,
2566,
3126,
26419,
72,
8648,
12901,
1523,
2290,
1402,
8583,
1434,
1618,
12846,
1525,
1358,
5125,
59342,
25365,
1358,
11733,
1377,
52152,
1520,
10311,
59342,
1467,
57863,
5848,
1523,
1573,
4681,
29874,
72,
2078,
5481,
1371,
1712,
1358,
24094,
59342,
2351,
5511,
1523,
33712,
4032,
24408,
4031,
59342,
42132,
1959,
1510,
1358,
4478,
1977,
53872,
12222,
72,
2442,
1358,
29739,
9798,
7380,
1727,
3912,
9773,
1385,
8649,
1358,
8378,
9356,
59342,
1358,
4331,
19770,
1952,
1441,
1926,
37513,
59342,
1384,
2636,
1379,
1358,
29739,
9798,
7380,
1952,
1441,
1348,
17509,
59342,
1919,
6089,
1348,
15135,
72,
1507,
4478,
3303,
1379,
11851,
49496,
59342,
1452,
29685,
1420,
1873,
1442,
1382,
1432,
1358,
29739,
9798,
7380,
59342,
24710,
1821,
59328,
2836,
8678,
59361,
59328,
7032,
1379,
3126,
19770,
6819,
3736,
1448,
1551,
1371,
24512,
14483,
2025,
1520,
15252,
59342,
1467,
1476,
5608,
4529,
3235,
1385,
1358,
6285,
11733,
1525,
1358,
7941,
72,
6739,
1745,
3427,
32211,
1457,
1358,
8378,
19770,
1727,
2446,
1784,
3169,
3912,
9773,
59342,
1536,
1410,
36045,
3041,
1457,
11851,
1516,
8839,
7092,
17134,
2286,
25507,
1573,
2025,
1525,
1358,
10311,
1385,
1358,
16797,
9356,
1696,
1751,
2131,
3126,
19770,
59342,
33784,
1358,
6285,
11733,
1450,
1932,
51116,
59342,
1383,
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3304,
1379,
7092,
17134,
59342,
1384,
47585,
11989,
72,
3330,
12956,
29718,
34452,
1358,
4529,
26419,
59342,
10577,
1348,
3331,
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13034,
1385,
2843,
2131,
10311,
26419,
59342,
1450,
11084,
36095,
1421,
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1467,
1358,
16116,
1727,
4909,
15636,
3806,
1358,
3126,
72,
1507,
1383,
5980,
1727,
1396,
8340,
1450,
2782,
2877,
1359,
1384,
47585,
15802,
59342,
6436,
1421,
14447,
1896,
72,
59354,
59320,
63,
47640,
6158,
59320,
59345,
59345,
59362,
59332,
59342,
59321,
59342,
59320,
59345,
59345,
59367,
59321,
5,
5,
6669,
2967,
1358,
51116,
59342,
1745,
8007,
53041,
1348,
15287,
7679,
1951,
2566,
8797,
3953,
72,
72,
72,
59320,
63,
47640,
6158,
59320,
59345,
59345,
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5,
36747,
59342,
1358,
4478,
3303,
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19770,
1502,
16656,
1520,
59320,
59367,
59344,
1385,
59320,
59345,
59367,
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9499,
1377,
21620,
59342,
4767,
58719,
26619,
1421,
19136,
2131,
11084,
72,
1900,
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1377,
3659,
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1952,
25734,
4123,
9006,
1377,
16246,
3126,
3953,
1377,
1358,
8378,
9356,
72,
1507,
2025,
58291,
15516,
1410,
1385,
5249,
1457,
1358,
3775,
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7032,
1379,
1772,
2445,
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2560,
10177,
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3806,
1358,
3126,
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1410,
10405,
72,
1646,
1536,
17301,
59342,
1358,
4478,
19770,
1508,
11084,
1379,
3126,
1952,
1580,
1843,
1383,
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1385,
1348,
12052,
10991,
59342,
1450,
9522,
11084,
1508,
10281,
44193,
10577,
18469,
1385,
2843,
36095,
72,
1507,
6396,
1447,
38936,
1409,
59342,
1421,
1358,
8378,
4480,
11806,
9356,
59342,
1952,
1580,
1843,
7855,
59320,
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59367,
59344,
9499,
59342,
21672,
1358,
15135,
1385,
6246,
20738,
4344,
1367,
2596,
41334,
10370,
3235,
2131,
11084,
72,
29877,
59342,
1476,
5128,
5623,
2959,
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1597,
1457,
2213,
10828,
10241,
63,
23830,
1662,
3276,
1727,
38936,
1556,
59342,
1384,
3041,
1358,
5069,
20655,
1379,
3870,
1662,
3276,
1432,
13979,
34528,
59342,
1476,
1410,
5738,
4505,
1457,
7098,
5699,
17504,
13079,
2042,
32000,
1358,
4793,
59342,
15353,
1457,
1919,
2213,
38936,
1409,
10545,
72,
5,
5,
4268,
3766,
1379,
1452,
29685,
1420,
1873,
1442,
1382,
39470,
1358,
4478,
10050,
19770,
1379,
3126,
59342,
1450,
4804,
15030,
7334,
8926,
1358,
3577,
10991,
1379,
2351,
9356,
1385,
23672,
1772,
12083,
2877,
1359,
59361,
2596,
11471,
1358,
15135,
20738,
4344,
1367,
59342,
1467,
16160,
72,
8647,
34528,
1377,
1358,
44724,
59342,
1450,
3870,
5202,
10729,
2326,
1384,
5799,
1379,
15626,
40234,
59342,
3376,
1457,
7098,
5699,
17504,
5156,
1877,
43731,
1358,
3303,
59361,
59328,
4478,
17296,
72,
1646,
14886,
59342,
21022,
1525,
2560,
1348,
29454,
15135,
22935,
1520,
23365,
59342,
1358,
29739,
9798,
7380,
14907,
3155,
36103,
1450,
1358,
11851,
49496,
15135,
72,
1507,
10280,
5461,
1379,
1358,
15135,
1384,
1358,
17263,
18922,
1379,
1348,
14329,
17509,
1467,
1348,
4487,
10311,
1751,
3145,
1348,
48802,
1367,
1384,
27295,
25584,
72,
5,
5,
2219,
25584,
12254,
1932,
3825,
59328,
1835,
11851,
1516,
8839,
7092,
32820,
1385,
1358,
59320,
59349,
59370,
59344,
59342,
59344,
59344,
59344,
1981,
2272,
1465,
1525,
1358,
15135,
1872,
59342,
23581,
59342,
9002,
46808,
13665,
1464,
60483,
9386,
1377,
5,
14251,
59342,
59320,
59349,
59344,
59344,
63,
2450,
7092,
17134,
72,
3519,
59342,
1476,
16735,
1385,
23956,
1980,
2009,
1981,
2272,
1465,
1384,
1766,
19683,
15790,
3235,
1385,
1358,
20261,
1508,
49157,
16582,
6077,
1377,
2617,
63,
19586,
19136,
72,
5,
5,
2153,
1358,
3775,
59342,
38168,
1410,
26204,
1467,
1358,
5775,
6187,
1384,
1358,
5065,
28081,
1377,
1358,
7092,
59342,
2596,
1358,
1621,
1798,
1379,
11851,
49496,
5167,
1367,
1766,
36885,
5154,
72,
72,
72,
7221,
1531,
20035,
18334,
1647,
1385,
38168,
72,
59354,
59320,
63,
47640,
6158,
59320,
59345,
59344,
59384,
59321,
63,
59345,
59344,
59373,
59324,
5,
5,
59354,
6331,
3070,
59342,
1796,
1863,
6770,
13047,
1664,
2352,
1525,
2024,
1417,
9712,
1467,
1348,
2644,
59342,
1417,
1601,
4954,
1450,
1449,
1358,
6950,
1384,
8209,
1379,
1766,
1368,
5985,
72,
59354,
59320,
63,
47640,
6158,
59320,
59345,
59345,
59349,
59321,
5,
5,
59354,
59355,
1601,
2336,
9237,
1358,
15135,
72,
72,
72,
12387,
1379,
1358,
10472,
1377,
1358,
15135,
1523,
1385,
2780,
1348,
9788,
1421,
1358,
3797,
5526,
1421,
8849,
3059,
59342,
1450,
2351,
3718,
2560,
1348,
6723,
1379,
6919,
1433,
47450,
1432,
2351,
3700,
59342,
3616,
1371,
57720,
20114,
72,
1507,
9788,
1523,
1385,
2889,
59342,
1421,
1358,
7092,
5272,
59342,
3151,
58544,
1385,
4545,
1348,
16254,
1379,
27276,
8614,
18469,
72,
1900,
1523,
1358,
8849,
22394,
1379,
1358,
24358,
4342,
59375,
1358,
1875,
11341,
23973,
2003,
16856,
59342,
1697,
1952,
1441,
45009,
2178,
1385,
1901,
1714,
72,
59354,
59320,
63,
47640,
6158,
59320,
59345,
59345,
59384,
59333,
63,
59345,
59349,
59344,
59332,
5,
5,
22662,
1432,
2009,
13793,
59342,
1358,
59320,
59345,
59342,
59349,
59344,
59344,
47585,
18469,
1508,
2782,
2877,
1359,
1727,
16254,
1367,
1520,
59320,
59349,
59344,
59344,
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72,
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<s> South America: The Likely Geographic Correlate of Atlantis
In a preceding discussion, I presented my finding of a long-forgotten 2,000-year-old Roman world map hidden beneath the surface of a 16th-century globe. This discovery, I argued, may be the most compelling evidence yet supporting the authenticity of ancient maps depicting Antarctica, which began appearing on maps and globes around the turn of the 16th century.
While this revelation was certainly intriguing, it raised a pressing question: if these maps are indeed authentic, which ancient civilization could have charted Antarctica centuries before its documented discovery? My investigation led me to the civilization of Atlantis, renowned for its maritime prowess.
In the following posts, I will outline my theory that places South America as the most plausible geographic match for Atlantis. This theory will introduce novel aspects of Plato's account of the legendary lost land, potentially surprising both casual readers and seasoned enthusiasts. Moreover, it will unveil two significant discoveries: one detailing the true layout of the capital city's walls, and another shedding light on an ancient worldview that predated Plato's, which not only lends credibility to the account but may also have contributed to the misconception that Atlantis sank beneath the sea.
The proposed location of Atlantis often falls along a spectrum between historical plausibility and geographic accuracy. At the far end of historical plausibility, it aligns with established historical narratives and geographical data.
The historical narrative of Atlantis deviates significantly from geographical reality, existing primarily in the philosophical works of Plato, notably the dialogues Timaeus and Critias. The prevailing theory posits that Atlantis was a purely imaginary land and society, crafted by Plato to exemplify certain societal principles. While this perspective is compelling and supported by various aspects of the account, alternative interpretations exist.
Slightly lower on the spectrum of plausibility are sites that, while not adhering strictly to Plato's geographical description, propose a historical basis for the Atlantis story. These sites suggest that a localized catastrophic event near Greece or Egypt, such as the volcanic eruption on the island of Santorini, could have inspired the Atlantis myth. Santorini and Crete are often cited as the peak and runner-up, respectively, in this context.
According to these theories, the Atlantis saga is rooted in the catastrophic eruption on Santorini, which may have led to the destruction of the Minoan city of Akrotiri or caused significant devastation on Crete via subsequent tsunamis or earthquakes. These theories have gained substantial academic traction, as they can be reasonably linked to known historical events, even if they cannot be definitively proven.
The island of Santorini, situated in the southern Aegean Sea, was the site of a massive volcanic eruption around 1500-1600 BCE. This event destroyed the city of Akrotiri and potentially caused some level of destruction on the nearby Minoan island of Crete. Some believe this incident could have served as the foundation for the Atlantis tale.
Positioned midway on the spectrum, we encounter propositions that diverge significantly from historical plausibility yet bear scant resemblance to Plato's geographical concept. These include locations beyond the Mediterranean. At the far end of the spectrum, furthest from historical accuracy, lies the notion of a colossal sunken continent resting at the bottom of the Atlantic Ocean—an idea that aligns perfectly with Plato's account of Atlantis, described as an island larger than Libya and Asia, which sank beneath the waves, creating an impassable barrier of mud. However, this theory is not only at odds with historical records but also with scientific evidence. A map by American politician and Atlantis proponent Ignatius L. Donnelly, published in 1882, places Atlantis near the Azores Islands, suggesting they might be the peaks of mountains rising from the submerged continent.
Retreating slightly from the implausible scenario of an entire continent sinking overnight, we arrive at the geographical focal point of this discussion—a geohistorical enigma. Here, an ancient historical narrative, long dismissed as allegorical fiction by many modern scholars, suddenly surfaces as a tangible reality. Plato's dialogues clearly place Atlantis and its advanced maritime civilization in the vast ocean or sea beyond the Mediterranean and the Pillars of Heracles, an ancient Greek term for the Strait of Gibraltar. The text from Plato's Timaeus states that the Atlanteans "came forth out of the Atlantic Ocean," and further describes this ocean beyond the strait as:
In the words of Timaeus, 'The genuine ocean; for this sea [the Mediterranean] which lies within the Straits of Heracles is merely a haven, with a narrow entrance, but the other is a true sea.' This perspective reflects a common ancient Greek notion, as illustrated in the map below by Hecataeus, circa 500 BCE. The map portrays the Greek worldview of the time, with the Mediterranean Sea as the central harbor, encircled by the three known continents of Europe, Libya, and Asia, and separated from the vast Oceanus or Atlantis Sea by the narrow Pillars of Heracles. Hecataeus' map aligns with Solon's interpretation, equating the Pillars of Heracles with the Strait of Gibraltar. Solon himself described the Mediterranean as 'a sea within the Straits of Heracles, having a narrow entrance, but the other [Oceanus or Atlantis Sea] is a real sea.' A later passage from Timaeus further supports this idea: 'There was an island situated before the straits, which you call the Pillars of Heracles; the island was larger than Libya and Asia combined.' This clearly points to a substantial landmass beyond the Mediterranean, eliminating smaller islands like Santorini and Crete.
The account's description of Atlantis's continental size is further bolstered by a significant geographical element within the island, roughly the size of Great Britain. This feature, a vast, uniquely rectangular plain, became the focal point of my quest for Plato's Atlantis, not least due to Plato's inclusion of a crucial detail: dimensions. According to Critias, the land around the city was a level, oblong plain, surrounded by mountains that sloped down to the sea. It stretched 3,000 stadia in one direction and 2,000 stadia across its center. Critias also mentioned that the plain was originally a quadrangle, elongated and rectilinear, with its perimeter defined by a trench, making its total length 10,000 stadia. I was not the first to recognize the potential of this unique layout in identifying the lost continent. Decades earlier, Jim Allen had proposed the Altiplano, a large, high-altitude plain in the Andes of Bolivia, as a potential match for Atlantis. The Altiplano possesses the requisite rectangular shape and is indeed surrounded by mountains, and Allen's theory pushed the boundaries of established history by suggesting a continent beyond the Mediterranean, aligning with Plato's description.
In the realm of Atlantis theories, the proposition by Jim Allen, placing the legendary plain high in the Andes Mountains, specifically the Altiplano, has long been a benchmark. This analysis aims to evaluate Allen's hypothesis and shed light on the complexities of identifying the ancient plain of Atlantis. For further details, one may consult Allen's website.
Allen's claim hinges on the Altiplano's dimensions, which he asserts match the Atlantis plain's 2,000 by 3,000 stade (approximately 230 by 344 miles) measurements. However, this claim is not without significant concessions. The Bolivian Altiplano is notably smaller than the proposed Atlantis plain, necessitating the adoption of a theoretical stade roughly half the length of the ancient Greek and Egyptian stades. Even with this adjustment, the Altiplano fails to genuinely achieve the 2,000 by 3,000 proportion.
Allen's interpretation of the Altiplano as a 2,000 by 3,000 stade rectangle, using a stade measuring 330 feet (compared to the Greek stade of 606 feet), is depicted in the accompanying image. The plain's 13,000-foot contour is outlined in yellow, while the interior 12,000-foot contour is outlined in dark blue. Allen has strategically placed the 2,000 by 3,000 stade rectangular channel of water, purportedly defining the plain, by employing the 13,000-foot elevation for the lateral measurement and the 12,000-foot elevation for the vertical measurement.
Several apparent issues arise from this layout. Chief among them is the arbitrary and inconsistent selection of contours within the plain to fit the proposed dimensions of Atlantis.
To meet the 2,000 by 3,000 ratio, it's highly unlikely that ancient measurers knew about 1,000-foot increment contour lines, as these are modern concepts. A person on the ground at 12,000 feet wouldn't see any visible boundary, but rather a gradual slope in all directions, similar to other plain areas. The only visible indicator could be a rectangular channel around the plain's perimeter. However, creating such a channel through over a hundred miles of mountainous terrain in the west would be challenging, raising our third concern.
Jim Allen's proposed layout on the Altiplano uses a half-stadium measurement, deviating from Plato's standard stadium size. It also alternates between 13,000-foot (yellow) and 12,000-foot (dark blue) contours to fit Plato's dimensions. The layout of the rectangular ditch is problematic, with much of it needing to be dug through mountainous terrain in the west.
An aerial view of the Altiplano, looking north, shows the mountainous western region included in the proposed plain, and the course the suggested rectangular ditch would take through it. Apart from introducing a new stade measurement, the proposed site also necessitates the existence of a mountain lake, Lake Poopó.
In Plato's narrative, a third body of water, a lake, is introduced, despite his initial mention of only two seas: the Mediterranean and the Atlantic. This interpretation was necessary due to the original description placing the sea in close proximity to the plain. A city-center hill, with a diameter of 27 stades (approximately 3.1 miles), was said to be 50 stades (5.7 miles) from both the plain and the sea, implying the plain's proximity to the sea was around 14.5 miles.
'Close to the plain, and also centrally located on the island, about fifty stadia away, was a mountain...Not very high, it was the site of the city. They dug a canal, 300 feet wide, 100 feet deep, and 50 stadia long, from the sea to the city's outermost zone.' - Critias 113c, 115d
Poopó Lake, an endorheic basin with no outlet to a sea or ocean, overflows during high water levels from the north, filling two large salt flats, Salar de Coipasa to the west and Salar de Uyuni to the south. However, this flow contradicts the Atlantis plain's water direction in Plato's account. Instead of the lake's water spilling onto the plain, as suggested by the lake's location, Plato describes the plain's waters flowing towards the sea near the city, a common geographic dynamic for low-lying plains fed by mountain waters.
Unavoidably, the waterways would empty into a genuine sea or ocean. Inland, similarly, straight canals, a hundred feet wide, were hewn from the plain and discharged into the perimeter ditch, which then flowed into the sea." - Critias 118c,d
It's noteworthy that none of the canals are mentioned to empty directly into the sea, but rather they flowed into the plain's perimeter ditch before emptying into the sea. This suggests that the sea was not located within the plain's perimeter, unlike the Altiplano, and indicates that it was referring to a true sea existing beyond the plain.
The account also falls short in detailing the full layout of the plain's encircling mountains:
"The land immediately surrounding the city was a flat plain, itself encircled by mountains that sloped down towards the sea. This part of the island faced south and was protected from the north. The surrounding mountains were renowned for their number, size, and beauty, surpassing any that still exist today." - Critias 118a,b
This passage describes a plain that was enclosed on three sides but open towards the south. The illustration below of an enclosed courtyard perfectly exemplifies an enclosed area that is open towards the south and sheltered from the north. In contrast, the Altiplano is entirely encircled by mountains, providing shelter from all directions.
This image depicts an enclosed courtyard, much like the Atlantis plain, which is open towards the south and sheltered from the north, and also faces the sea. This layout stands in stark contrast to the Altiplano in the Andes, which is entirely surrounded by mountains, providing shelter from all directions while the sea sits within the northeastern portion of the plain.
Moreover, consider this parallel passage:
"Facing the sea, but at the heart of the entire island, there lay a plain which was said to be the fairest of them all.
Critias (113c) describes the landscape as 'all plains and very fertile,' with some ambiguity surrounding the phrase 'looking towards the sea.' However, the context suggests that this phrase, akin to 'looking towards the south,' is indeed referring to the plain. Thus, it can be interpreted as: 'At the heart of the entire island lay a plain that faced or opened towards the sea.' No other interpretation seems plausible, and together, these phrases imply that the plain was southward-facing and open to the sea.
The Altiplano theory falters by placing a sea to the east, incorrectly within the plain's boundaries, as previously mentioned. Moreover, the proposed site of the capital city at Pampa Aullagas presents several issues. Unlike the original account stating the city was 50 stades (5.7 miles) outside the plain, this theory places it on a hill over 200 stades (23 miles) inside the plain.
Near the plain, and also centrally located about fifty stades away, there was a mountain of modest height on all sides, serving as the capital's site (Critias 113c). The concentric water rings said to define the city pose another challenge. The theory proposes these as partial bands of land and water set into the hillside, which would have allowed land access to the central acropolis island. This contradicts the original account, which describes these as 'circles' of water, natural formations isolating the ringed islands and making them accessible only by boat.
"Commencing the construction, he encircled the hill, where she resided, with alternating bands of sea and land, varying in size and number, comprising two land and three water zones. Each zone was equidistantly spaced from the center, rendering the island inaccessible by sea, as maritime travel was not yet prevalent. Proceeding up the hill, each band was positioned sequentially higher, culminating at the proposed acropolis peak. If the Altiplano were flooded to fill the upper ring, the lower rings would be submerged, and much of the Altiplano would be a lake, no longer a plain. The proposed site of Atlantis, Pampa Aullagas on the Altiplano, contradicts Plato's description of water rings fully encircling islands accessible only by boat, as it allows land access to the central island from the south. While one might conjecture that the upper rings were artificially flooded, this is problematic given that Atlantean warships could navigate not only from the sea to the outer ring but also between water rings, accessing the central island with its palace, docks full of warships, and naval stores. They constructed bridges dividing the land zones, allowing a single trireme to pass between sea zones, with channels underneath for navigation, as the banks were significantly elevated above the water. The docks were replete with triremes and naval supplies, ready for immediate use." - Critias 113d,e, 115e
Leaving the palace, one traversed a landscape divided into three distinct levels... - Critias 117d
However, the proposed site's rings are separated by 50 to 150 feet in elevation, necessitating locks for navigation between channels. This, in turn, would pose further challenges in maintaining water levels in the upper ring. The only plausible explanation is to accept that the account's description of 'the banks being raised considerably above the water' is accurate. In this scenario, the proposed rings or channels of water would have been dug to a uniform depth, with covered channels or tunnels allowing ships to pass underneath. The deepest excavation, for the uppermost inner ring, would have been approximately 350 feet, enabling the plain to remain unflooded while facilitating ship access between channels. Nevertheless, it seems highly improbable that such extensive sand-filled contours were excavated, and given the natural occurrence of similar contours on nearby hills, it is almost certain that solid bedrock lies just beneath the surface, indicating that no such excavation occurred.
This image of Pampa Aullagas illustrates the proposed partial rings of water, with cutaway views showing the required depth of each ring to accommodate 'triremes' while keeping the plain unflooded, as claimed. Other hills in the vicinity, with similar geomorphology and evidence of ancient flooding, suggest that solid bedrock likely underlies the site's proposed bands. In conclusion, aside from being a rectangular plain surrounded by mountains, the Altiplano shares few similarities with the Atlantis plain. The isolated location of the plain and the unexpected inclusion of a mountain lake as a third sea also create a disjointed and confusing narrative.
The narrative limits its particulars about Atlantean warriors to the 240,000 highlanders from the plain who, reportedly, navigated Poopó Lake in
large, 200-man warships. However, it fails to elucidate how these highlanders and their vessels gained access to the Atlantic or attained proficiency in open-sea navigation.
In the account, Athens is cited as the leading force and the primary participant in the war, while the kings of Atlantis commanded their adversaries...Let us accord precedence to Athens." - Critias 108e-109a
"And next, if my memory serves me right from what I heard as a child, I will share with you the nature and origin of their foes." - Critias 112e
"I will now detail the plain...Each of the lots in the plain was to elect a leader for the men fit for military service, with each lot being a square of ten stadia on each side, totaling sixty thousand. The leader was to provide, for the war effort, four sailors to complete a crew of twelve hundred ships. This was the military arrangement of the royal city; the other nine governments had variations, which would be tedious to recount." - Critias 118c-120d
Based on these figures, the 1,200 naval ships or triremes were crewed by 200-man teams, all drawn from the inhabitants of the plain. Furthermore, not only were the triremes said to have access to the city through a sea channel with many triremes filling the inner harbors, but the account also mentions that a multitude of merchant ships from other regions filled the outer harbor.
"Among the largest harbors, ships and merchants from diverse origins crowded the docks," as recounted by Critias (117e). The presence of such a bustling maritime scene suggests an ancient empire with its capital near the "true sea," not a powerful naval force perched high in the Andes around an isolated lake. The challenge of matching this description to a real-world location is immense, given Plato's detailed account that includes intricate geographical features, cardinal directions, and precise dimensions. However, these very specifics make the account as useful as a physical map in pinpointing Atlantis. Initially, I focused on the surrounding mountains, but I came to understand that the defining feature was a navigable waterway, which deserves greater attention in the search for Atlantis. While Atlantis' maritime prowess is well-known, its river-based trade might be less appreciated. The island, it seems, was self-sufficient, with resources like orichalcum, a metal more valuable than gold at the time, mined from its depths.
Just as many other ancient civilizations, Atlantis benefited from its extensive waterways, enabling the efficient transport of various domestic products. The mountain's timber and valuable ores, along with the plain's agricultural yields, were conveyed via these waterways, ultimately reaching the capital city situated where the waters converged and flowed into the sea.
I shall now detail the plain, as shaped by nature and the toils of countless generations of rulers over countless years. It was predominantly rectangular and oblong, with any deviations following the circular moat. The moat's dimensions, as well as its course, collected the streams descending from the mountains, winding around the plain before emptying into the sea at the city. Inland, straight canals, each a hundred feet wide, were cut at hundred-stadia intervals, drawing water from the moat and leading to the sea. These canals served to transport timber from the mountains to the city and to ferry the plain's agricultural produce using ships that traversed the canals, with transverse passages connecting them to the city.
Clearly, maintaining such an expansive and navigable waterway would have required a significant amount of runoff from the surrounding mountains. The description of a plain crisscrossed by numerous channels, serving both irrigation and navigation purposes, suggests that Atlantis was a self-sufficient river-based culture, comparable to other ancient civilizations like the Babylonians and Assyrians along the Euphrates and Tigris rivers, and the ancient Egyptians, Chinese, and Indians based on the Nile, Yellow, and Indus rivers respectively.
If the ancient waterways, such as the Nile and the Euphrates, continue to flow and remain navigable, one would anticipate that the extensive waterway of the Atlantis plain would persist in some form today. The illustration below provides a sense of the vastness of the Atlantis plain and its rectangular waterway, in comparison to the Mesopotamian plain, which lies between the Euphrates and Tigris Rivers.
Over millennia, the waterway may have undergone changes, but it is improbable that the waters would have completely dried up and ceased flowing from the surrounding mountains. In fact, given the reported scale of the surrounding mountains as the source of these waters, which were described as 'celebrated for their number and size and beauty, far beyond any which still exist,' one would expect meltwater to flow out from these mountains in similar abundance as in the past.
A 2,000 by 3,000 stade rectangle, representing the Atlantean plain, scaled and overlaid onto an image of Mesopotamia, would show a plain with a border defined by a navigable waterway and a multitude of irrigation channels cut through it. This would have rivaled other ancient riverine civilizations, whose waterways still exist and are in full use today. Logically, if these other great waterways still exist, we should expect that the Atlantis waterway would still exist in some form today as well.
Thus, my search began by looking around the globe for a large waterway that hopefully still retained its rectangular form. Upon searching, it became apparent that there was only one such plain in existence, and it happened to be very close to the size specified for the Atlantis plain. This plain lies in Argentina, defined by two surrounding rivers, the Paraná and Uruguay, and, like its namesake in the Middle East, has been appropriately named Mesopotamia, as the name means 'land between rivers.'
The Mesopotamian plain, situated in Argentina's northern expanse, is a vast rectangular plain circumscribed by waterways, much like the description of Atlantis by Solon. Atlantis was reputed to have a perimeter of 10,000 stades (approximately 1,150 miles). Let us examine the match:
The Paraná and Uruguay Rivers originate from the Brazilian Highlands in the north, diverging upon their descent into Argentina's northern plain. The foothills between them serve as a natural barrier, defining a 70-mile stretch of the plain's northern border. From here, the Uruguay River flows 410 miles southwards, delineating the eastern edge of the plain, before meeting the Paraná River in the south.
The Paraná River, upon entering the plain, turns westward for about 150 miles, completing the northern border. It then flows southwards for 420 miles, forming the western border. Finally, the Paraná veers southeastwards for another 150 miles to converge with the Uruguay River, fully enclosing the plain and defining its rectangular perimeter.
This intricate dance of the rivers results in a perimeter of 1,200 miles, placing the Mesopotamian plain within a mere 50 miles (455 stades) of matching Plato's description of Atlantis. A topographic map illustrates this, with all four sides of the plain defined by waterways, save for a small 70-mile portion in the north defined by foothills. Notably, no other rectangular plain of comparable size and waterway-defined borders exists elsewhere in the world, making the similarity between this plain and Plato's Atlantis all the more intriguing.
The precise dimensions of the sole plain of its kind are known. It is conceivable that Plato's account, which deviates by no more than 50 miles from the only plain that approximates Atlantis' scale and characteristics, may be attributed to an extraordinary stroke of fortune. While no other plain of comparable size or even half its extent exists, bounded by water on all sides, Plato's narrative includes intricate details that could swiftly dispel this notion. Given the uniqueness of the plain that aligns with Atlantis' size, the likelihood of further congruities in a supposed fictional account is slim.
Remarkably, the Mesopotamian plain's resemblance to Atlantis extends beyond size and shape. As depicted in the accompanying topographic map, its layout mirrors the Atlantis plain precisely. The plain effectively channels waters from encircling mountains, which then converge and drain into the sea, as described in Critias 118c,d. More notably, as illustrated, the entire mountain-enclosed region, encompassing Mesopotamia and its surrounding plains, faces southwards and towards the sea, aligning perfectly with Plato's description in Critias 118a,b. Furthermore, the central plain, described as the fairest and most fertile, is situated exactly in the middle of the island, as detailed in Critias 113c.
One of the most persuasive arguments for the reality of Atlantis is presented by this topographical map, which demonstrates a striking correspondence between the Mesopotamian plain and the legendary Atlantis plain. The vast, rectangular expanse, bounded by the Paraná and Uruguay Rivers, not only meets the size requirements, but its perimeter is also defined by tributaries originating from the encircling mountains to the north, west, and east. The entire region, hemmed in by mountains, faces and opens towards the sea to the south, where, as described, the rivers converge before flowing into the ocean. This level of congruence is remarkably precise, with no other location on Earth approaching it.
However, dimensions serve as a more robust means of verifying this conformity. In this regard, the Mesopotamian plain continues to provide compelling evidence. The point where the Paraná and Uruguay rivers come closest to the sea marks the Mesopotamian plain's nearest approach to the coast. Plato's account specifies a highly restrictive measurement for this distance, not exceeding 14.5 miles. This is a stringent criterion that could easily dismiss this or any other potential site. For instance, similar to the Argentine plain, Iraq's Mesopotamian plain comes closest to the sea where the Tigris and Euphrates rivers converge, but the distance is a substantial 100 miles. Conversely, the rivers could empty into the sea separately without ever meeting.
Adding significantly to the evidence, the convergence of the two surrounding waterways lies at a distance ranging between 8 to 12 miles from the sea, comfortably within the account's specified 14.5-mile range. In contrast, the original Mesopotamian plain in Iraq, shown on the left, lies over 100 miles inland, coming nearest the sea where the two outlying rivers converge.
Beyond Solon's 14.5-mile threshold, the site near Solon is swiftly dismissed as a potential location for the Atlantis plain. In contrast, Argentina's Mesopotamia, situated less than 12 miles from the sea, mirrors its namesake's proximity, being closest to the sea where its tributaries converge. This places Mesopotamia in South America within the range of Solon's 14.5-mile criterion.
The likelihood of a real-world plain matching Atlantis' specifications is astonishing. However, this proposed site is not without its challenges. Like other sites, it requires some adjustments, but I believe the remaining discrepancies can be reasonably addressed within the context of Plato's dialogues.
The first challenge is the proportionality of the Mesopotamian plain. Initially, it appears to align correctly, with its length running parallel to the coast and its width extending inland. Plato describes Atlantis as follows: "The country around the city was a level plain, surrounded by mountains that sloped down to the sea; it was flat and oblong, extending 3,000 stadia in one direction and 2,000 stadia across the center inland." (Critias 118a)
However, while the perimeter matches the specified 10,000 stadia, there is a proportional disparity between the Mesopotamian plain, estimated at approximately 4,000 by 1,000 stadia, and Atlantis' specified 3,000 by 2,000 stade proportion. A scaled overlay of the Atlantis plain on Argentina's Mesopotamia reveals this disparity, but it is also worth noting that the introduction of specific dimensions for width and length may have been an estimate added later to the account.
The disparity in the reported dimensions of the rectangular plain is more straightforward to reconcile than one might initially think. It is quite likely that the primary source only provided an approximate perimeter measurement and described its orientation parallel to the coast. Subsequently, another source may have introduced specific width and length measurements. Given the overall perimeter of 10,000 stades, rounded to the nearest thousand, the introducer of these dimensions would likely have chosen from the two available sets of similarly rounded numbers: 2,000 by 3,000 or 1,000 by 4,000. In this case, the former set seems more plausible.
The original account of Atlantis, as recounted by an Egyptian priest to Solon, was later embellished by the latter. Critias, in his narrative, explains this adaptation:
"Before I continue, I must warn you that you may encounter Hellenic names given to non-Greeks. This is because Solon, intending to use the tale for his poem, inquired into the meaning of the names and found that the Egyptians had translated them into their own language. He then retranslated them into our language. My great-grandfather, Dropides, possessed the original writing, which I studied in my youth. Therefore, if you encounter names familiar in this country, do not be surprised, as I have explained their origin." - Critias 113a,b
Thus, we observe that Solon tailored his retelling of the Egyptian account to an Athenian audience by replacing Egyptian names with Greek ones.
Beyond Hellenizing foreign names, Solon also integrated distinctively Greek naval elements into his account. He introduced the trireme, a formidable Greek warship, complete with its standard crew of 200. The bustling docks were replete with these vessels and naval supplies, ready for immediate use, as recounted by Critias (117d). Solon's narrative also detailed the military organization of Atlantis, with each of the plain's lots, measuring 10 stadia by 10 stadia, required to elect a leader for men fit for military service. The total number of lots amounted to 60,000, with a vast multitude from the mountains and other regions distributed among them. Each leader was obligated to contribute to a war effort that included chariots, horses, and a diverse range of infantry and naval personnel, totaling 1200 ships (Critias 118e-120d). This passage, with its familiar Greek military terms and emphasis on the plain's area, suggests Solon's intent to convey the might and scale of Atlantis to his Greek audience.
The perimeter's measurement alone would not have been adequate. By postulating a plain of 2,000 by 3,000 dimensions, Solon deduced the existence of 60,000 lots of 10 square stades, compared to 40,000 lots if the plain were 4,000 by 1,000. Each lot could provide 4 sailors, thus conveniently equipping 1,200 Greek triremes with standard Greek crews of 200 men (60,000 lots x 4 sailors ÷ 1,200 triremes = 200-man crews).
However, it is questionable whether the Atlanteans employed triremes, and it may be an overestimation to assume that their ships, if any, would have been similarly crewed. Triremes, characterized by their three banks of oars on each side, were likely not in use at the time and would have required a different design if they had been. Greek triremes, designed for swift and maneuverable combat in relatively calm coastal waters, could be easily overwhelmed by rough seas due to their low-lying oar holes.
The cross-section of an ancient Greek warship, the trireme, illustrates its propulsion by three banks of oars on each side, enabling both speed and agility. This design, however, would have been impractical for transatlantic voyages, as the lowest bank of oars sat within 18 inches of the waterline, making it susceptible to sinking in rough waters.
Moreover, Solon's estimation of the potential size of the Atlantean force appears to be a personal attempt, given the specific calculations and assumptions made.
The estimated number of combatants, assuming all 60,000 lots were filled and of uniform large size, could be seen as either a remarkable coincidence or a deliberate exaggeration by Solon. While it's possible that all lots were naturally large and full, the convenience of this scenario seems unlikely. It's more plausible that Solon intentionally set a large lot size to inflate the Atlantean force's appearance. Thus, it appears that Solon may have manipulated the plain's dimensions to create a more impressive narrative.
In the second inconsistency, the plain's perimeter is described as both naturally formed by rivers and artificially created by a man-made ditch. The account, written by Critias, describes the plain as "fashioned by nature and by the labours of many generations of kings." However, it's crucial to note that the text doesn't explicitly state that the plain wasn't originally defined by natural waterways. Someone unfamiliar with the Mesopotamian plain might assume its eastern border is defined by mountains, rather than the Tigris River. Similarly, the commentator here seems to assume that mountains form the plain's rectangular shape, incorrectly implying that the plain's natural form is rectangular.
The translation underscores that the plain was, for the most part, naturally a rectangular expanse, but a trench was dug to refine its shape. According to Critias (118c,d), the plain was initially "a quadrangle, rectilinear for the most part, and elongated; and what it lacked in this shape was rectified by means of a trench dug around it." As previously discussed, a pre-existing natural waterway was necessary to consistently supply water to the trench. If the Atlantean plain resembled Argentina's Mesopotamian plain, which is 'naturally rectangular' due to bordering waterways, then the excavation to correct the rectangle likely involved closing the sole natural opening in the rectangular waterway. This would have entailed digging a trench approximately 70 miles long to connect the Paraná and Uruguay Rivers in the north, making the task of excavating a 10,000-stade channel completely around the plain seem less daunting. The possible location of this ditch or canal would have been where it corrected the flaw in the naturally rectangular-shaped plain by encircling it with water. This undertaking is credible, given that other ancient riverine cultures, such as Mesopotamia, had excavated canals of similar length to improve irrigation and create more efficient routes between separate waterways. In Mesopotamia, a ditch roughly 40 miles long was dug between the Euphrates and Tigris Rivers, known as the Nahar Malcha or Royal Canal, which Herodotus claimed was wide and deep enough for merchant ships to navigate.
Pliny the Elder recounts historical endeavors to connect the Nile with the Red Sea, dating back to the 19th century BC. He mentions the Tyro tribe and the harbor of the Daneoi on the Red Sea, where Egyptian pharaoh Sesostris planned to construct a ship canal spanning over 60 miles to the Nile Delta. Later, Persian king Darius and Ptolemy II also entertained this idea, with the latter digging a trench 100 feet wide, 30 feet deep, and approximately 35 miles long, reaching the Bitter Lakes.
The translation of a Greek word, 'kukló', which means 'circle' or 'encircle', provides insight into the original intent of the canal project. Jowett's translation, "Where falling out of the straight line followed the circular ditch," is somewhat confusing, while Bury's, "What it lacked of this shape they made right by means of a trench dug round about it," offers a clearer understanding. A more refined translation could be, "Where the plain lacked its rectangular shape, they corrected it by digging a ditch to fully encircle it." This canal would have served dual purposes: irrigation and providing a more efficient alternative to overland transport in the northern region.
In the context of Atlantis, some readers might have noticed the use of the term 'continent' to describe the island. This is justified by the fact that Atlantis was an island of such immense size, it could be compared to two continents.
Atlantis, as previously mentioned, was an island larger than both Libya and Asia combined, according to Critias' account (108e). However, the idea that South America could have been Atlantis is puzzling, given that it does not fit our modern definition of an island. This discrepancy, however, is easily resolved by understanding how ancient Greeks used the term 'island'.
The Greek word for island, 'nesos', typically denotes a body of land entirely surrounded by water. Yet, there's an exception: Peloponnesos, a large peninsula in southern Greece, is referred to as an 'island' by the ancient Greeks. The name Peloponnesos, derived from 'nesos', translates to "Island of Pelops", acknowledging its conquest by the mythical hero Pelops and suggesting a broader usage of 'nesos'.
Peloponnesos, while technically a peninsula connected to the mainland by a narrow isthmus, is almost entirely surrounded by water. This unique geography may have led the ancient Greeks to classify it as an 'island', implying that 'nesos' could refer to any landmass predominantly surrounded by water. Therefore, it's plausible that ancient Greeks might have referred to South America, with its extensive coastline, as an 'island'.
Enclosed by aquatic expanses on all sides, even when connected to a larger landmass via a narrow isthmus, South America mirrors this geographical configuration. Almost entirely encircled by water, it is akin to the Peloponnese, joined to a larger landmass by a long, slender isthmus. Thus, the term 'nesos' (island) might have been applied to South America in a similar context.
Alternatively, it is plausible that someone, possibly Solon, misinterpreted Atlantis as an island. The account describes two continents, Atlantis and another large one, accessible via a chain of islands. This description aptly fits South America, with the Caribbean Islands serving as a distinct pathway to North America.
As recounted in Timaeus 24e, "The island was larger than Libya and Asia combined, and was the path to other islands, and from these, one could reach the entire opposite continent." While the original narrative may have merely emphasized the islands' significance as a crucial maritime route between continents, it is easy to see how the inclusion of this sea route could be mistaken for the sole means of access, leading to the belief that Atlantis was a separate island continent. Indeed, the slow, arduous overland route up the Isthmus of Panama would likely have been overlooked by a seafaring civilization, as it held little relevance.
The Atlantis 'nesos': Like the Peloponnese, South America is tethered to a continent by a narrow isthmus, in this case, the Isthmus of Panama. Similarly, a chain of islands—the Caribbean Islands—leads to a continent on the opposite end, North America. These islands would have provided an efficient maritime route to North America for any seafaring people residing near the Rio de la Plata.
As with other possible reinterpretations and alterations discussed, these changes likely occurred as the account was passed down through generations.
Across generations, the narrative's retellings are referenced, with Critias' attempt to recall the youthful tale he had heard. This echoes an ancient phenomenon akin to the game of Telephone.
"Socrates, listen to this peculiar yet true story, as relayed by Solon, the wisest of the seven sages, who was a relative and dear friend of my great-grandfather, Dropides. Solon shared this account with my grandfather, Critias, who then passed it down to us." - Timaeus 20d,e
"If I (Critias) can recall and recite enough of what was said by the (Egyptian) priests and brought here by Solon." - Critias 108d
"I hesitated to speak then, for much time had passed, and I had forgotten too much." - Timaeus 26a
Critias: "I infer this because Solon said..." - Critias 110a
One of the most intriguing examples of modification that occurred sometime after the tale reached Solon and before Plato committed it to paper concerns a prominent discrepancy in this theory. Unlike Atlantis, South America remains above sea level...
Atlantis, which, as mentioned, was an island larger than the combined sizes of Libya and Asia, was submerged by an earthquake, becoming an impassable barrier of mud for sailors navigating the ocean. - Critias 108e
Whereas Plato's account, via Solon, describes Atlantis, an island continent larger than Asia and Libya combined, sinking beneath the sea in a single day, a significant discovery detailed here challenges this evidently false premise while validating the possibility of an unsubmerged South America as the potential site of Atlantis.
The revelation occurred when I understood the historical backdrop of Solon's analogy of the Mediterranean as a mere 'inner sea' and the unexpected mention of a vast, unknown 'outer sea' encircling a mysterious, expansive landmass. The pertinent excerpt from Timaeus, with my suggested identifications in brackets, reads thus:
"The island [Atlantis/South America]," it states, "was larger than the combined sizes of Libya and Asia, and served as a gateway to other islands [the Caribbean Islands], from which one could reach the entire opposite continent [North America] that encircled the genuine ocean; this ocean, unlike the Mediterranean, was vast and boundless, with the surrounding landmass truly deserving the title of a boundless continent."
Most Atlantis theories, when confronted with this passage, tend to disregard historical context and interpret the 'true ocean' and encircling continent in light of our modern understanding of the world. The Flem-Aths, in their popular Antarctica theory, propose that Solon was describing the oceans surrounding Antarctica, with all other continents combined forming the opposite continent that encircled this 'true ocean'. They present a specialized polar projection by the US Navy as evidence, showing how the world's continents can be distorted to approximate the description.
However, this'surrounding continent' still has significant gaps, and it is quite a leap to believe that an ancient civilization coincidentally shared a similar, distorted view of the world. Moreover, the map in question is a complex modern creation, exemplifying the challenges in reconciling ancient descriptions with modern geographical knowledge.
The advanced mathematical techniques employed in cartography can yield intriguing map projections. To visualize a continent encircling a vast 'true sea', consider an Arctic polar projection map, as illustrated below. This map type exaggerates and wraps Antarctica around a colossal world ocean, presenting an appealing concept of a'surrounding continent'. However, similar to the Flem-Aths' projection, while it may appear that Antarctica encloses the world's oceans, no rational individual would describe the actual continent as such, beyond complex projection maps.
A simple polar projection centered on the North Pole offers a similar illusion, with Antarctica seemingly encircling the world's oceans. Yet, as with the Flem-Aths' projection, this is an optical illusion created by the map's distortion.
Jim Allen, who posits that South America is Atlantis, with its capital city located high in the Andes, believes the 'true ocean' was the Pacific. He suggests that Eurasia, the opposite continent, could be reached via the numerous Pacific islands. It is peculiar, however, that Solon's account includes a description of Eurasia, which is far from South America, but makes no mention of the much closer continent of North America, which is actually connected to 'Atlantis'.
Allen's interpretation of South America as Atlantis highlights the Pacific islands as a potential path to Eurasia, which he considers the continent surrounding the 'true ocean'. It is essential to note that each of these theories necessitates making unlikely assumptions, such as the notion that 1) Solon was directly conveying a description provided by an ancient source.
Individuals with extensive global experience often share a perspective akin to ours, and 2) Remarkably, these geographical features can be perceived as a single, continuous 'limitless' continent encircling a vast expanse of water. However, upon contextualizing Solon's 'boundless continent' within his time, these interpretations appear overanalyzed and forced. Familiarity with ancient Greek cartography reveals that Solon was offering a skewed description of the ancient Greek worldview.
Greek maps depicted two significant bodies of water: 1) The Mediterranean Sea, encircled by the continents of Europe, Libya, and Asia, and 2) The larger 'true ocean', Oceanus, surrounding these continents. The only connection between these two seas was the narrow Strait of Gibraltar, then known as the Pillars of Hercules.
Reconstructions of Homer's (left) and Hecataeus' (right) world maps illustrate the ancient Greek worldview, featuring two major bodies of water, the Mediterranean Sea and Oceanus, separated only by the Strait of Gibraltar.
Solon's skewed description included a continent that was unbroken or 'boundless', entirely encircling Oceanus. His comparison of the two known bodies of water makes it clear that the Mediterranean Sea, with its narrow entrance at the Strait of Gibraltar, is merely a 'harbour', while the other is a genuine sea, with no entrance or large bodies of water beyond it. Therefore, 'the surrounding land may be most truly called a boundless continent.'
Interestingly, a contemporary of Solon's, Anaximander, proposed that the world was cylindrical in shape, with Europe, Libya, and Asia resting atop one side.
Encompassed by its planar expanses, Oceanus was itself encircled by the external rim of the cylinder, forming an "unending" uninterrupted band of land. Given the absence of such boundless continents bordering an ocean in reality, and historical records of this topography confined to theories from Solon's era and accounts of Atlantis, it stands to reason that these two vast continents encircling a substantial 'true ocean' were indeed one and the same.
Thus, it is highly probable that Solon was reconciling the Egyptian narrative of two expansive continents beyond the Mediterranean Sea with his restricted worldview, as depicted in the aforementioned image. The issue with this limited perspective was that the Greeks envisioned Oceanus as a colossal river encircling the known world, with only a few scattered islands, but no continental landmasses disrupting its flow.
Solon might have associated the Egyptian's mention of an opposing continent (North America) with the outer ring of land encircling Oceanus, as this was the only other continent-sized landmass known to be above sea level besides Europe, Libya, and Asia. However, the challenge remained in reconciling the existence of a second continent, Atlantis.
The Egyptians described the capital city as an island and recounted the sudden disappearance of an island "into the depths of the sea" within a single day and night. I posit that the island that truly sank was the capital city, and Solon, unwilling to acknowledge the existence of a continental landmass within Oceanus, ultimately reconciled the Egyptian account of the submerged island capital with the entire island continent of Atlantis. By interpreting the Egyptian account thus, Solon could preserve the Greek worldview of an unimpeded 'ocean stream' that now flowed over a submerged Atlantis, as illustrated in the aforementioned image.
In contemporary times, the credibility of the Atlantis theory is bolstered by comparable modifications made to align with current understanding, as exemplified by the case of Santorini in the Mediterranean. Scholars today find it challenging to accept either the submergence of an entire continent or the existence of a highly advanced seafaring civilization far beyond the Mediterranean. Consequently, they have proposed similar large-scale revisions to the Atlantis narrative, elevating it from the Atlantic's depths and relocating it within the Mediterranean, while significantly reducing its size from a continent to a small island. This is done in an effort akin to that of Solon, aiming to reconcile the possibility of an ancient foreign account within the constraints of our current worldview.
Furthermore, the notion that the sinking pertained to the capital city, not the entire continent, gains traction when considering that the city was likely built on a delta. This interpretation brings the described destruction into sharper focus:
"[T]here occurred violent earthquakes and floods; in a single day and night of calamity, all your warlike men in a body sank into the earth, and the island of Atlantis in like manner disappeared into the depths of the sea. Henceforth, the sea in those parts has become impassable and impenetrable, with a shoal of mud blocking the way; this was the result of the island's subsidence." - Timaeus 25c,d
Should a series of 'violent earthquakes' have transpired as Solon recounted, the impact on a river delta would have been catastrophic, closely matching his description. During earthquakes, a phenomenon called liquefaction can occur, destabilizing the ground and transforming soil into a liquid state. The silt and sand composition within a delta would have made the capital city and surrounding area particularly susceptible to liquefaction, potentially explaining why the "warlike men" were said to have "sank into the earth" rather than into the sea. The agitated soil would also have contributed to the sea's subsequent impassability and the formation of a mud shoal.
The delta's distributaries and the city's approach channel were converted into mudflows, which could have created an "impenetrable mud barrier" for travelers. The fate of New Orleans, a sinking delta city, serves as a grim reminder of what a powerful earthquake could do, potentially replicating the catastrophic event described in Plato's dialogues, where a great city sinks into the earth and vanishes beneath the sea in a single day and night.
The placement of the capital city within a delta is hinted at by Solon's description of a waterway that "encircled the plain and met at the city, from where it flowed into the sea." However, it's clear that the waters did not converge "exactly" at the city, as Solon noted that the city was 50 stadia (5.7 miles) away from the plain. Therefore, placing the city at the exact meeting point would situate it right on the plain's edge. Bury, in his translation of Critias 118d, offers an alternative interpretation: "It received the streams that flowed down from the mountains, circling around the plain, and approaching the city from both sides, it discharged them into the sea nearby."
We can deduce that the city was equidistant from the plain and the sea, placing it approximately 7.25 miles (half of 5.7 miles from the plain to the city, plus 3.1 miles for the city's diameter, plus another 5.7 miles from the city to the sea) between the two. In the accompanying image, lines representing 14.5-mile channels extending between various points on the plain and the sea illustrate multiple potential city locations.
In the diagram below, a city is envisioned along an arc labeled ABC. The city's central position varies, with the most extreme placements occurring at points A and C. At point A, the city lies along the northern branch of the Paraná River, the Rio Gutierrez, while at point C, it sits at the confluence of the Rio Gutierrez and the Uruguay River. If the channel is extended to equidistance from both waterways, the city's center, point B, rests atop an unusual land formation.
Lines A, B, and C signify 14.5-mile channels stretching from the plain to the sea, with a central point at 7.25 miles representing the city's center. Lines A and C denote the city's closest proximity to the Rio Gutierrez and the river confluence. Line B aligns the channel such that the city's center is equidistant from both the plain and the sea. Other channel placements would situate the city's center along or near arc ABC, between points A, B, and C.
Point B's equidistance is particularly intriguing as it lies atop a circular landform, while line B nears channels of similar length. This location has sparked speculation about its potential connection to the legendary city of Atlantis. The landform in the Paraná Delta is notably circular, with a small distributary channel from the Rio Gutierrez flowing eastward alongside line B before forking, partially encircling the circular formation. The resultant landform appears as a three-quarter circle with a triangular extension to the east.
The intrigue deepens due to two reasons: firstly, this is the only landform in the Paraná Delta that approaches a circular shape, and secondly, its location along line B, near channels of similar length, raises questions about its formation and potential significance.
In accordance with Plato's account, the circular city of Atlantis is believed to have been confined to a specific range of distances, and remarkably, the circular segment of the Paraná Delta landform adheres extremely closely to the dimensions attributed to the city by Solon, as depicted in the image below.
Solon's combined measurements for the multi-ringed city place its overall diameter at 27 stadia, or approximately 3.10 miles. Notably, he described the first outermost ring as a 3-stadia wide channel of water, which gave the next concentric ring of land a diameter of 21 stadia, or about 2.41 miles. Both diameters align remarkably well with the circular segment of the Paraná Delta landform, raising the intriguing possibility that this could be the site of the legendary city.
The satellite image of the circular landform in the Paraná Delta (top) and the same image with a 2.50-mile dimension set using Google Earth™ for scale (below) demonstrate how the overlain rings conform to Atlantis' concentric rings of land and water. While the circular landform does not exhibit any visible divisions suggesting the existence of inner zones or rings, the outer zone of water closely resembles the specified 2.41-mile inner and 3.10-mile outer diameters. If this is indeed the site of the city, the settling of sediment into the city's outer channel may have slightly deformed the delta's surface, allowing water to partially retrace the outer channel's circular shape.
According to Solon's description, the city was formed from a circular mountain, with the god Poseidon excavating three concentric channels of water, creating alternating zones of sea and land: "There was a mountain not very high on any side, which Poseidon broke through, enclosing the hill and creating alternate zones of sea and land."
In a dance of size and scale, two landmasses and three water bodies interlocked, each maintaining an equal distance from the heart. Time has flowed like water since the tale of the submerged city, and if it once stood in a delta, sediment would have long since obscured its remains. The water, not aimless, but guided by gravity and terrain, may have sculpted shallow depressions on the delta's surface, potentially outlining the city's outer ring. This ring, if distinct, could have diverted water around the submerged city, while less sediment on the other side might have allowed water to break free, creating the present formation.
The distance from the plain and sea varies, yet the central circular feature intrigues. Among global deltas, with their myriad islands and river forks, none boast such a perfectly round landform, nor one approaching this magnitude. Given the Mesopotamian plain's proper alignment, size, position, and seaward distance, this landform's significance is undeniable.
Precisely where the account places the city, this circular feature lies. However, it is crucial to consider the region's changes over millennia, which may have altered waterways. The boundary between plain and delta today might differ greatly from the past, potentially shifting the original city site miles from the proposed one.
One of the queries concerning this site revolves around the scarcity of space for a perimeter wall, which many posit encircled the city at a radius of 5.7 miles (50 stades). The proposed circumference of the capital city of Atlantis, situated on the Paraná Delta, exceeds 45 miles. The wall's placement, determined by the circular landform, intersects the confluence of the Paraná and Uruguay Rivers twice.
As will be shown, this extensive outer wall was not originally described, with the misconception arising from an English translation of Plato's account that overlooked a crucial contextual detail. Regardless of Atlantis' existence, Critias, the narrator, had a clear mental image of the city, which this analysis aims to elucidate by examining the original text.
The disputed passage reads:
"Upon traversing the three external harbors, one encountered a wall commencing at the sea and encircling, at a uniform distance of fifty stades from the largest harbor and city, with its ends meeting at the seaward mouth of the channel. This wall was lined with numerous houses, closely spaced; the seaway and largest harbor teemed with ships and merchants from all regions, creating a constant din of activity, both day and night." - Critias 117d,e; translation by R.G. Bury
This translation suggests that Critias indeed described a wall encircling the circular capital city, parallel to its outermost ring at a distance of 50 stades (5.7 miles), with the ends converging at the sea. The multi-ringed city had a diameter of
Covering a distance of 3.10 miles, the wall's diameter would measure 14.5 miles, and its circumference would exceed 45 miles. An artist's depiction of Atlantis' capital city suggests the presence of a fourth, outer wall, located 50 stades (approximately 5.7 miles) beyond the outermost ring. However, this interpretation is not supported by the original account, which describes only three walls.
Let us examine the initial part of the text: 'After traversing the three external harbors, one encountered a wall...' - Critias 117e; Bury. The translator implies that this wall was situated 50 stades from the city, at the sea. However, this interpretation is contextually inaccurate. Upon crossing the three external harbors, one actually reached the mouth of a 50-stadium channel within the outer harbor, not the sea. Moreover, one indeed found a wall - the wall encircling 'the largest circle and harbor,' one of the three walls in the city's multi-ringed structure. This aligns with an earlier passage in Critias (116b; Bury), which states that the outer harbor or outermost circle was lined with a brass-covered wall.
Many have mistakenly assumed that this brass wall encircled the outermost land circle, as shown in the above image. However, without explicit mention of whether this circle was associated with 'land' or 'water,' we must maintain contextual consistency and consult other references to the 'outermost circle' for clarification. Critias' only other reference to the 'OUTERMOST'...
CIRCLE' evidently pertains to the outermost ring of the HARBOUR, having been mentioned just moments prior, thus it is improbable that Critias would assign two distinct meanings to a singular term within the same context:
'Starting from the sea, they dug a channel straight through to the OUTERMOST RING, spanning three plethra (303 feet) in width, 100 feet in depth, and 5.7 miles in length; thus creating an entrance to it [clearly the harbour] from the sea, large enough for the largest vessels to navigate through.' - Critias 115d; Bury
'They plated the circumference of the wall encircling the OUTERMOST RING with brass, as one would with plaster; the inner one with tin; and that surrounding the acropolis itself with orichalcum, which glistened like fire.' - Critias 116b,c; Bury
This confirms the presence of a brass-clad wall lining the outermost ring of water. Now, let us examine the positioning of the remaining two walls. Critias specifies the locations of the outermost brass wall and the orichalcum wall on the central island, but he refers to the tin wall as simply 'the inner one'. Benjamin Jowett's translation provides a more precise location for the tin wall:
'The entire circuit of the wall surrounding the outermost zone they coated with a layer of brass, and the circuit of the next wall they covered with tin, and the third, which enclosed the citadel, glowed with the red light of orichalcum.' - Critias 116b,c; Benjamin Jowett
This arrangement would position the tin wall as the intermediate wall in a sequence that commences with the brass outer wall and culminates at the central orichalcum wall. If, as commonly believed, the brass wall encircled the outermost ringed island, and the orichalcum wall surrounded the central island, a pattern of wall-enclosed islands would emerge, making the tin-clad wall the next in this sequence, encircling the smaller ringed island, as depicted in the artist's rendition above.
However, given that the brass wall actually encircled the outermost ring of water, and the orichalcum wall surrounded the central island, the sequence includes all boundaries between rings of water and land. Thus, the next in the series after the brass wall would be the subsequent boundary between land and water, indicating that the outermost circle of land was bounded by the tin-clad wall, which aligns with the narrow channel that restricted passage to a single trireme, highlighting the secure, exclusive nature of the three islands reserved for military and royalty, while the outer harbor and channel remained accessible to civilian merchant ships. The image below illustrates the definitive positioning of Atlantis' capital city's three walls.
This corrected layout shows that, after traversing the three harbors, a wall is encountered, as described by Critias. If the wall in question had been a fourth, located at sea 5.7 miles from the third outer harbor, it would be the farthest from the city complex.
In this urban landscape, the outermost harbor and the city's encircling walls formed a complex network, with the channel's seaward entrance serving as the sole point of contact for the majority of marine traffic, as previously misunderstood. This interpretation suggests isolated segments within the passage, appearing arbitrarily inserted.
Critias, in his account (117e; Bury), paints a vivid picture: 'The entire wall was lined with tightly packed dwellings, while the channel and the principal harbor teemed with vessels and merchants from far and wide, their collective presence generating a cacophony of noise that persisted day and night.' However, interaction with the alleged fourth wall would have been restricted to a narrow area at the channel's mouth, near the sea. If guard towers were stationed on both sides of the channel's entrance, interaction between wall-dwellers and incoming ships would have been negligible. It's implausible that a small group of wall-dwellers could create a perpetual 'unceasing din' for the entire city. Furthermore, merchants in the outermost harbor, located 5.7 miles away, would have been invisible from the wall, making their activities irrelevant to those dwelling there.
The accompanying image illustrates the fourth wall's isolation from ships entering the channel and those in the outermost harbor. The tiny white specks in the channel and outer harbor represent ships of approximately 120 feet, a common size for Greek triremes, providing a sense of scale.
A prevalent misunderstanding posits the existence of a fourth wall situated 5.7 miles away from the city's core, entirely encircling it. Residents of this outer wall would have had minimal interaction with merchant ships traversing the canal, limited primarily to the channel's entrance, and none with those in the city's outer harbor, seemingly at odds with Plato's narrative. However, if the described wall indeed encompassed the outer harbor, one can envision constant day-and-night activity, with wall inhabitants actively engaged in trade with harbor merchant ships.
Yet, the mention of the wall being "fifty stades" away from the largest circle and harbor presents a conundrum. Given that Critias refers to the wall encircling the outer harbor, it becomes evident that he is describing the wall's full extent, stretching from the outer harbor along the canal to the sea, as he explicitly states, "one found a wall which began at the sea," not one located at the sea's edge. This interpretation aligns perfectly with the context, firstly confirming the canal's 5.7-mile length and then detailing the interaction between wall residents and merchant ships along both the channel and the harbor. This interpretation maintains focus on the wall's significance by linking interactions with trade ships throughout its entire length:
"Upon traversing the three outer harbors, one discovered a wall that originated at the sea, a distance of fifty stades from the largest circle and harbor. This wall extended around the entire area, with its ends converging at the seaward mouth of the channel. Along this wall, numerous houses were built in close proximity, while the seaway and the largest harbor teemed with ships."
Traders from all directions flooded in, their sheer numbers creating a cacophony of noise and chaos that persisted around the clock.
The true layout of Atlantis' three walls, as per Critias' account, fostered dynamic interaction between residents and merchant vessels in both the outermost harbor and the 5.7-mile channel. It also clarifies Critias' original vision, describing a wall that began 50 stades from the largest harbor, encircling the land and meeting at the channel's mouth.
An illustration of the walled capital city, superimposed on the circular landform in the Paraná Delta, accurately depicts the three walls as Critias described them. Every element aligns perfectly in context. Critias' description of crossing the three harbors leads to a wall along the outer harbor, near the 50-stadium channel. From this viewpoint, a separate wall 5.7 miles away would have been too distant to mention, and much of it would have been invisible due to the higher land rings.
Critias further describes subterranean channels, large enough for a single trireme, connecting the land circles, with raised lips ensuring they remained above sea level.
Perched before the channel's entrance, Critias' audience would simultaneously behold the harbor encircled by a towering brass-clad wall, and imagine the structure stretching far along each side of the 5.7-mile waterway. From this vantage, one could envision the bustling merchant ships navigating both the harbor and channel, likely lined with docks accessible from the wall, generating a constant din of activity and excitement among the city's inhabitants. The practicality and feasibility of this layout are bolstered by the existence of the Long Walls of Athens, depicted below, which similarly encircled the city and extended out to form a narrow corridor to the sea. Unlike Atlantis' water passage, Athens' was a land route, securing a 40-stadium (4.5 miles) path to the port city of Piraeus, ensuring safe supply transportation during land sieges. The Long Walls of Athens, as they stood during the Peloponnesian War, provided a secure sea access corridor, much like the described walls of Atlantis. This shared attribute raises an intriguing question: if the Atlantis saga is true, did Solon's description influence later Greek long walls? Or, if Atlantis is a fabrication, did Plato or Critias base its capital city design on the existing Long Walls of Athens?
Without question, if Atlantis indeed existed as described by Plato, this location is unarguably the site of Atlantis. No other place, proposed or yet to be proposed, can match the combination of grand scale and specific parameters outlined in Plato's narrative, with the Americas being a notable exception.
For those who assert that the Atlantis tale is purely allegorical, the city's extensive walls certainly lend credence to that perspective. One might speculate that Plato was envisioning an ideal society by incorporating enhanced aspects of his own world. Athens' Long Walls facilitated secure overland transport from the sea to the city, thus Atlantis is depicted with a walled waterway enabling secure maritime access to the inland city. Furthermore, the two primary Mediterranean cultures featured, Greece and Egypt, one seafaring and the other river-based, are integrated into Atlantis, suggesting a blend of the best aspects of both.
While there are certainly elements that hint at Plato's Atlantis being a work of fiction, within the dialogues themselves, Timaeus explicitly states: "Then listen, Socrates, to a tale which, though strange, is certainly true, having been attested by Solon, who was the wisest of the seven sages." This can be contrasted with another of Plato's works, the Allegory of the Cave from his renowned work The Republic, where he clearly presents the story as a fictional narrative: "Socrates: 'This entire allegory, I said, you may now append, dear Glaucon, to the previous argument; the prison-house is the world of sight, the light of the fire is the sun, and you will not misapprehend me if you interpret the journey upwards to be the ascent of the soul into the intellectual world according to my poor belief, which, at your desire.'
Plato's adoption of Anaximander's concepts lends credence to his narrative, as Plato himself held the spherical Earth belief, yet his dialogues echo the older, flat Earth perspective prevalent during Solon's time. However, the most compelling evidence lies in the account's remarkably accurate depiction of the physical world beyond the Mediterranean. It appears to be the first record acknowledging the existence of not one, but TWO CONTINENTS flanking the Atlantic, and it accurately describes the Caribbean Islands as a navigable route between these two continents, North and South America. If one dismisses this as mere chance, the description of a unique, 1,150-mile rectangular plain bounded by waterways, found exclusively on one of these continents—South America—pushes the boundaries of coincidence. Moreover, the odds of accurately portraying this plain as being bordered by mountains that open towards the sea in the south, and precisely locating it within 14.5 miles of the sea, are astonishing.
There can be no doubt that if Atlantis indeed existed as described in Plato's dialogues, then this is undoubtedly its location. There is no other proposed or potential site on Earth that could match the combination of scale and restrictive parameters provided in Plato's account as closely as the Americas do. Assuming Atlantis existed, South America emerges as the most probable site. If South America is indeed Atlantis' home, it might further suggest that this seafaring culture, or its descendants, could have explored the northernmost regions of Antarctica.
Traversing and mapping the entire continent. Regardless of the circumstances, the very existence of these precise ancient representations of three distant
continents—North America, South America, and Antarctica—alongside the accurate depiction of associated islands, such as the Caribbean Islands and
Antarctica's Siple, Carney, and Ross islands, challenges credibility to such an extent that it blurs the edges of historical understanding.
I haven't even delved into the trove of material you've provided, but I must commend you on the title alone.
South America as Atlantis. A notion I've been advocating for years.
I'm uncertain if this is reflected in your evidence, but two supporting points are the Fuente Magna bowl and the numerous mummies in Egypt and Asia
that test positive for a certain'medicinal' substance derived from the Coca plant, which at the time was only obtainable in South America.
Santorini has been the focus as the supposed location, but I've always perceived it as more of a port of call, a waypoint for arrivals and departures.
The Santorini eruption, when it occurred, was a catastrophic event that likely disrupted maritime trade due to the destruction of many coastal
settlements and the resulting tsunami, and may have made life worldwide more challenging due to temperature drops and subsequent famines.
However, the absence of evidence refutes this and every other Atlantis theory. The only way to validate the existence of Atlantis is to discover it.
Some off-the-cuff questions:
The query would be: why are there no archaeological signs of such a place in South America? I mean, no pottery, no concentrations of habitations,
no resource mining—now the response will be: well, it sank? Yes, but the culture didn't establish itself in just a few years—there should be, as there are.
In the realms of Sumer, Egypt, Akkadia, and Harappa, remnants of this civilization are evident in the surrounding territories. If they indeed possessed 1,200 triremes, one must question their purpose, given the vessels' suitability for warfare but not for trade. This raises the query: against whom were they engaged in conflict, and why is there no trace of these adversaries?
Upon perusing the provided information, I found it quite intriguing. The diligence in research is commendable.
I was curious about the river systems and their propensity for meandering over time, as observed in North American rivers like the Mississippi and Missouri. I wondered if South American rivers exhibit a similar tendency, or if they are more stable. I am unaware of any definitive information on this topic, and I am curious if anyone can provide insights into South American river systems and any relevant discoveries in the region that might support this theory.
While I did not delve into the cultural aspects in this discussion, I would like to draw attention to the detailed geographical information provided in Plato's account of Atlantis, which essentially serves as a map to its location. I recommend exploring the supporting evidence for a global trade network involving South America, not necessarily tied to the concept of 'Atlantis', but notable nonetheless. The Fuente Magna bowl, inscribed with Cuneiform and Semitic writing, found in Bolivia, and the prevalence of Egyptian mummies testing positive for nicotine and coca plant products, both exclusive to the Americas, are compelling pieces of evidence that warrant further investigation.
Challenging conventional historical narratives, the origins of certain artifacts and their distant locations remain enigmatic. How, for instance, did the ancient Egyptians acquire tobacco and cocaine, or a 4000-year-old cuneiform and Semitic script-inscribed bowl find its way to Bolivia? Extensive investigations have dismissed fraudulent claims, yet these questions persist. Your geographical analysis, meticulous and plausible, stands out among similar attempts. It echoes the groundbreaking work of Heinrich Schliemann, who discovered Troy despite initial skepticism. However, the lack of physical evidence, as with other Atlantis theories, hinders definitive proof. The absence of archaeological signs in South America, such as pottery or habitation concentrations, raises questions about the sudden emergence of an advanced civilization. While your analysis shows high geographical conformity, it falls short of confirming the existence of Atlantis. Nevertheless, it adds to the growing body of evidence suggesting that our planet may still harbor undiscovered secrets.
In the fourth segment of my discourse, I delve into the possibility that Solon's estimation of the Atlantean military might was approximate, with many figures potentially inflated. I additionally posit that the narrative could be purely allegorical, a notion I would not dismiss outright until compelling evidence points otherwise. This platform, fostered by our membership, reflects the views of its contributors, while our editorial stance remains neutral, merely facilitating open expression.</s>
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] |
<s> Fiji: A Pacific Gem
The Fijian archipelago, a cluster of 333 islands, is situated at the intersection of the South Pacific. Viti Levu, the largest and principal island, and Vanua Levu, the second largest, account for 85% of the country's total land area, with only a third of the islands inhabited. Each island boasts scenic coastlines, with tall coconut palms swaying gently over tranquil turquoise waters, lagoons edged by vibrant coral reefs, and pristine white sandy beaches.
Capital and Key Centers
Fiji's capital, Suva, is positioned on the southeastern corner of Viti Levu, although many visitors first encounter Fiji through the international airport in Nadi, another significant town on Viti Levu. From Nadi, it's a short flight to one of the offshore island resorts, or less than an hour's flight to Vanua Levu or Taveuni, the second and third largest islands. The nearby Mamanuca and Yasawa Islands offer idyllic lagoons and beaches. The historic capital of Levuka, on Ovalau Island, has been meticulously preserved as a UNESCO World Heritage Site.
The People: A Pacific Melting Pot
Fiji serves as the 'hub' of the South Pacific, a unique blend of Polynesian and Melanesian cultures. The nation is a diverse tapestry of races and peoples. Between 1879 and 1916, under British colonial rule, Indians arrived as indentured laborers to work on sugarcane plantations. After the system's abolition, many Indians remained as independent farmers and businessmen. English is the principal language, but Fijian, Hindustani, Chinese, and other Pacific island languages are also spoken, with most of the population being bilingual.
The central, elevated ridges of Fiji's two primary islands significantly influence precipitation patterns, resulting in distinct vegetational zones. The east, drenched by copious rainfall, is blanketed by dense, vine-laden forests, while the west, drier due to rain shadows, boasts expansive grasslands and pine-dominated uplands. Typical coastal flora, such as coconuts and pandanus, thrive along the shores of each island.
Fiji's unique terrestrial fauna comprises indigenous bats, birds, lizards, and frogs, existing in harmony with the environment, free from the devastating plant and animal pests and diseases that afflict other nations. The Ministry of Agriculture, Fisheries, and Forests vigilantly safeguards this pristine ecosystem by strictly regulating the importation of potentially harmful materials.
Notable attractions include the grand Hindu temple in Nadi, showcasing rare Dravidian architecture, and Natadola Beach, a pristine coastal gem. Venturing to the Yasawas for a tour of the Sawa-i-Lau Caves is a must for visitors. A journey back in time awaits at Navala Village, nestled in the Nausori Highlands, where residents still inhabit traditional thatched-roof dwellings.
En route from Nadi to Suva, one can explore the Kula Bird Park, navigate the rapids of Navua Gorge, and marvel at the Sigatoka Sand Dunes. In Suva, the national museum, situated within the historic Thurston Gardens adjacent to Government House, houses an unparalleled collection of anthropological and historical artifacts, making it the most comprehensive of its kind in the Pacific Islands.
Savusavu, a town in Fiji, boasts unique attractions such as the Nakama thermal springs and the Namale blowholes. The Wasali Nature Reserve, a pristine rainforest, offers hiking trails that lead to breathtaking vistas. The accommodation options in Savusavu cater to diverse budgets, ranging from lavish hotels, resorts, and villas to traditional Fijian bures equipped with modern amenities, cottages, lodges, townhouses, and apartments. Bures, inspired by traditional village houses with thatched roofs, are particularly popular among tourists for their authentic Fijian atmosphere. The incorporation of Fijian design in many hotels helps maintain the exotic allure of this South Pacific haven.
For dining and entertainment, most nightclubs, restaurants, and cinemas are concentrated in the city centers. Many larger hotels and resorts offer their own entertainment, often including a lovo (food cooked in an underground oven), the yaqona ceremony (kava drinking), and a meke (song and dance). A variety of international cuisines, such as Chinese, Japanese, Indian, French, and European, are available in major centers. Fijian cuisine, often featuring seafood cooked in coconut milk and either steamed or boiled, is also widely offered.
Navigating Savusavu and Fiji at large is facilitated by driving on the left side of the road, with overseas driving permits valid for six months. Several car rental agencies, an extensive local bus service on each of the main islands, and deluxe coach tours are available for transportation. Taxis are affordable and primarily metered. Ferries, helicopters, and seaplanes provide convenient transportation between the extensive network of docks and airfields throughout the islands and resorts.</s>
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47006,
10761,
1434,
53194,
72,
18888,
6501,
59342,
2754,
1358,
1981,
59342,
3532,
4025,
72,
5,
16624,
1473,
1600,
3046,
1491,
1403,
59334,
3046,
28865,
34515,
59320,
59345,
59367,
59367,
59362,
44879,
1425,
59320,
59367,
25994,
72,
5,
74,
9840,
1473,
1600,
1377,
52242,
1507,
23884,
59322,
1770,
2547,
1473,
1600,
1410,
4022,
13530,
1385,
58058,
1382,
1358,
12940,
2547,
1473,
1600,
3046,
4681,
1476,
2003,
7574,
1606,
22339,
59320,
72,
3809,
1432,
36249,
72,
7351,
59320,
59345,
59344,
59344,
59342,
59344,
59344,
59344,
2104,
1727,
11605,
1384,
1476,
49215,
16453,
1379,
2104,
72,
1507,
2547,
1473,
1600,
10545,
2131,
59320,
59345,
59373,
59373,
59349,
1384,
6822,
59342,
59320,
59345,
59373,
59373,
59367,
72,
1507,
10847,
14873,
7121,
1379,
46046,
1627,
1523,
2563,
1712,
1379,
4746,
24540,
1877,
1358,
11834,
1379,
25184,
1562,
6384,
59398,
1408,
11655,
72,
11152,
1408,
11655,
8627,
4462,
1377,
59320,
59345,
59373,
59373,
59344,
59342,
1887,
1523,
1348,
3084,
24215,
59342,
1384,
2361,
17549,
59342,
14772,
6651,
1348,
5354,
3956,
7202,
15003,
2125,
4638,
2538,
59342,
15289,
2790,
1384,
23884,
7376,
9277,
72,
5,
59378,
1472,
19551,
1384,
52905,
3046,
23884,
59322,
1770,
5231,
3046,
15528,
12597,
38663,
1371,
59320,
59349,
59370,
59367,
59387,
44879,
1425,
59320,
59373,
25994,
72,
5,
5,
5856,
1675,
1449,
2629,
1410,
1358,
2558,
8138,
1379,
2547,
1473,
1600,
59320,
74,
6078,
2294,
1615,
3978,
1377,
9947,
1385,
1358,
27353,
1384,
11128,
1457,
1580,
2121,
59320,
72,
6768,
72,
18337,
1615,
8232,
72,
1646,
1658,
1988,
12886,
72,
9840,
1473,
1600,
1410,
3527,
1377,
2844,
2367,
2686,
59342,
1348,
3717,
5528,
1520,
58058,
12661,
59342,
15190,
1384,
4034,
10678,
1377,
16347,
1434,
2223,
7334,
16589,
1525,
5916,
1385,
14110,
72,
1507,
11574,
1385,
1377,
2844,
2686,
30229,
3027,
7750,
1536,
3757,
1908,
1649,
28897,
19727,
1384,
48571,
3021,
1358,
3717,
59361,
59328,
2956,
1377,
59320,
59345,
59373,
59370,
59362,
1520,
19691,
16855,
20746,
5031,
1391,
27494,
8573,
1377,
1859,
14962,
22857,
1360,
25143,
1377,
58058,
2361,
17549,
47521,
1497,
1907,
4622,
59320,
59345,
59373,
59370,
59370,
72,
12660,
6768,
72,
5082,
6125,
72,
5,
6933,
59328,
1379,
1358,
53653,
1888,
3046,
52242,
1384,
52905,
3046,
24704,
59320,
59345,
59345,
59387,
59373,
44879,
1425,
59320,
59370,
25994,
72,
5,
16624,
1473,
1600,
1377,
52242,
5082,
1358,
9946,
1379,
1358,
2361,
59342,
30610,
7092,
1358,
2809,
2003,
3943,
4755,
1358,
2164,
1379,
13300,
1379,
44467,
1384,
17549,
1835,
3470,
59342,
35519,
36936,
1379,
3441,
59320,
72,
6144,
72,
1646,
1658,
1988,
72,
3867,
16553,
1371,
59342,
2009,
4413,
13940,
6395,
2003,
1843,
2563,
1385,
21223,
2024,
3441,
6144,
1502,
1384,
1835,
3470,
59342,
2024,
41628,
1348,
30663,
1385,
3441,
6144,
72,
1507,
1933,
1379,
1358,
7534,
1377,
1364,
7607,
1597,
3441,
6144,
2560,
1358,
1376,
43973,
2352,
1385,
2810,
72,
5,
5,
59352,
14736,
11911,
63,
4694,
1364,
9749,
7057,
7890,
1766,
1817,
1384,
3854,
1385,
58058,
17549,
51502,
2499,
1348,
4781,
6092,
1865,
1358,
2809,
1385,
2650,
1432,
72,
5,
59378,
1472,
19551,
1384,
52905,
3046,
23884,
7376,
9277,
3046,
23884,
59322,
1770,
5231,
59320,
59345,
59370,
59362,
59370,
44879,
1425,
59320,
59370,
25994,
72,
5,
59371,
1375,
40089,
59320,
59345,
59384,
5144,
59320,
59349,
59344,
59345,
59344,
9840,
1473,
1600,
1377,
11198,
1900,
3507,
25189,
27743,
1379,
2547,
1473,
1600,
1457,
10545,
1377,
1835,
4694,
3470,
59365,
55633,
1525,
59320,
59345,
59373,
59370,
59367,
1385,
59320,
72,
1646,
1658,
1988,
72,
59320,
59349,
59344,
59344,
59345,
72,
6768,
15001,
1432,
3151,
2357,
15429,
1379,
2547,
1473,
1600,
1921,
1358,
5405,
59320,
59349,
59342,
59320,
59345,
59373,
59381,
59384,
4240,
34398,
1377,
1408,
12279,
1391,
1404,
3116,
59375,
1358,
18643,
1406,
4516,
59325,
4240,
34398,
1432,
5195,
59320,
59345,
59344,
59342,
59320,
59345,
59373,
59387,
59345,
59375,
1384,
1835,
4694,
59342,
11198,
59361,
59328,
1479,
16334,
5231,
1457,
10545,
1525,
1358,
17549,
59342,
3829,
59320,
59345,
59373,
59387,
59344,
59361,
59328,
2128,
1358,
59320,
59345,
59373,
59384,
59344,
59361,
59328,
59375,
1384,
1358,
2547,
1473,
1600,
1379,
1421,
4756,
51787,
1457,
1649,
1843,
19943,
3021,
1358,
2361,
17549,
59342,
1479,
16334,
5231,
72,
6768,
13271,
1457,
1358,
17549,
4694,
3470,
59342,
1933,
2566,
15429,
1379,
17549,
3458,
1473,
1600,
2686,
59342,
3545,
10668,
74,
5,
5,
12032,
1554,
11154,
5249,
1348,
59320,
72,
4445,
1379,
1531,
1385,
1441,
38868,
59342,
1384,
2110,
2373,
1457,
47414,
2487,
4356,
2759,
74,
1420,
1434,
1885,
59324,
5279,
1430,
45589,
4797,
1348,
4201,
13339,
1432,
2319,
1358,
6088,
1384,
58058,
59342,
7445,
12129,
1467,
2104,
1384,
1766,
1772,
38130,
59361,
30892,
1377,
52743,
5346,
1673,
1771,
1360,
17918,
18302,
10681,
20043,
1431,
29762,
6910,
59320,
63,
5,
5,
2153,
1658,
1988,
2361,
17549,
59342,
9305,
3507,
59342,
17549,
59320,
63,
41089,
20043,
1431,
72,
1874,
1502,
2438,
1385,
1621,
7550,
18516,
59345,
1366,
14906,
1397,
13971,
7257,
1449,
59342,
1384,
1807,
2111,
1410,
1645,
1449,
1929,
1385,
1441,
3374,
1385,
9809,
8242,
1384,
1875,
3628,
1449,
1580,
1377,
17549,
59342,
2810,
72,
3067,
1571,
1554,
1675,
1421,
1449,
74,
1646,
4065,
6141,
59342,
1554,
1601,
1675,
1615,
3884,
2149,
59342,
1919,
6094,
2024,
1476,
17967,
59342,
2750,
1449,
3932,
1385,
16327,
1348,
17066,
72,
20043,
1431,
38751,
1378,
72,
3116,
72,
3776,
1649,
1348,
16347,
2189,
1379,
17549,
1835,
59342,
12905,
1510,
1932,
35528,
1384,
1766,
1713,
4006,
1426,
1355,
59342,
1753,
9589,
59342,
5012,
6540,
1384,
1817,
59347,
1502,
2849,
1421,
17305,
72,
5,
5,
4221,
2424,
59361,
59323,
5444,
1449,
1385,
1594,
29563,
3005,
1933,
59342,
4944,
59342,
1384,
1952,
1972,
1385,
58058,
59323,
1568,
1449,
6919,
3628,
1449,
1929,
1385,
2127,
1835,
1807,
3059,
2533,
1449,
2144,
1615,
2362,
1933,
2675,
72,
3067,
1449,
1929,
1385,
2127,
1835,
1807,
3884,
2149,
2111,
72,
1874,
1502,
16822,
1348,
1608,
1568,
3059,
7172,
1458,
1940,
59332,
20875,
59342,
3734,
6945,
72,
5,
59363,
8511,
2361,
17549,
9619,
8329,
52743,
1981,
3105,
3385,
17549,
59342,
9509,
72,
21903,
27130,
1410,
4022,
1348,
3568,
4456,
1385,
58058,
2361,
17549,
32578,
1458,
2123,
1630,
1378,
2686,
59342,
7266,
5012,
3178,
72,
5,
5,
4221,
1502,
17012,
1385,
5320,
1449,
1457,
14194,
10296,
1510,
2025,
59320,
59362,
4680,
72,
2738,
2478,
1796,
1615,
2675,
1410,
58888,
30884,
59342,
1476,
1601,
1441,
47171,
1384,
12480,
2352,
1882,
1449,
15814,
1476,
1385,
1441,
47171,
1384,
58058,
59342,
1421,
4756,
59342,
1536,
3059,
59342,
1449,
1601,
4740,
3475,
28893,
9820,
1385,
58058,
2361,
13706,
17761,
1384,
1875,
25388,
72,
5082,
2067,
2054,
59342,
1449,
1571,
6475,
2947,
17914,
1384,
1748,
1358,
2461,
1981,
63,
14892,
13486,
72,
1874,
1580,
1348,
3155,
8614,
1379,
12905,
1358,
9616,
1379,
1621,
7550,
18516,
59345,
8712,
18892,
43958,
2686,
1366,
14906,
59342,
10805,
1502,
2786,
1377,
1358,
6441,
1384,
1580,
9005,
1525,
3568,
6441,
20720,
72,
5,
5,
2219,
8365,
3577,
13285,
1410,
1348,
7667,
59361,
59328,
6007,
72,
5,
5781,
1348,
5997,
18289,
1379,
7936,
2872,
59342,
1449,
1571,
2675,
5519,
3884,
2149,
1508,
1842,
1875,
2487,
1379,
3884,
2149,
1449,
3427,
11575,
1929,
72,
1874,
4686,
4405,
1865,
37033,
4174,
4660,
1384,
58058,
2361,
17549,
59342,
1502,
7852,
1753,
1385,
36604,
1450,
9323,
4048,
2296,
4588,
72,
1826,
59361,
59328,
1573,
1358,
2123,
1630,
1378,
2686,
3507,
1517,
17549,
59342,
1573,
6389,
59375,
4944,
59342,
1554,
1675,
4350,
1358,
1817,
1385,
59320,
59345,
59370,
3424,
72,
5,
5,
13856,
1696,
1573,
3999,
59342,
13486,
4580,
1385,
1807,
5659,
1502,
13097,
9085,
18332,
4611,
72,
10046,
4719,
1348,
8841,
4611,
1499,
2489,
1410,
11303,
1736,
12435,
1520,
5012,
3392,
59342,
1554,
1580,
1348,
2636,
4031,
3751,
1384,
8944,
1421,
8488,
1421,
4756,
6822,
59345,
59344,
59344,
59458,
4611,
1499,
72,
1646,
1658,
1988,
12886,
72,
1420,
50880,
9076,
2583,
2650,
1410,
2872,
1421,
2608,
1872,
2235,
1385,
1981,
3105,
2642,
3221,
1835,
1358,
3466,
1379,
1766,
13486,
72,
1646,
1658,
1988,
12886,
72,
18625,
3884,
2149,
2750,
6409,
20219,
73,
1420,
6544,
1649,
1385,
2629,
10076,
1377,
4189,
1379,
44372,
59342,
1384,
3058,
5012,
1571,
4356,
1745,
1379,
1358,
3568,
9326,
1379,
8488,
6822,
59342,
41497,
72,
20217,
2024,
1410,
1358,
58058,
4122,
1379,
3932,
1348,
3959,
1796,
1449,
1601,
3575,
5577,
1449,
8187,
1421,
1981,
3105,
3385,
9863,
13486,
74,
5,
3457,
6352,
2213,
1694,
3555,
1382,
2065,
5179,
1379,
11735,
59342,
1554,
1580,
8651,
1348,
14274,
18767,
6305,
1457,
5207,
28893,
59342,
33914,
59342,
1384,
4724,
30071,
4164,
72,
20043,
1431,
72,
9411,
6646,
1457,
9451,
1385,
3334,
1807,
2111,
1571,
7735,
1358,
4724,
1385,
5526,
1859,
1508,
2100,
3825,
3923,
72,
1900,
1410,
3952,
1450,
1358,
2111,
1379,
1358,
2800,
59358,
42339,
1371,
16454,
2488,
72,
16390,
3551,
1615,
27241,
1601,
3114,
1449,
6178,
1432,
1981,
59342,
16454,
2488,
12522,
72,
5,
5,
26135,
1371,
2002,
6219,
20653,
3392,
1972,
1357,
1791,
11086,
1384,
1981,
15056,
1426,
47116,
1796,
1449,
2675,
1348,
2362,
2980,
19451,
59342,
1554,
2424,
59361,
59323,
6613,
2067,
1536,
4497,
59347,
72,
23900,
1371,
1358,
3466,
3751,
1379,
1615,
3507,
1385,
58058,
2361,
17549,
1686,
9098,
5228,
1379,
15607,
6896,
72,
55252,
1358,
43958,
2686,
1366,
14906,
14022,
43398,
2489,
72,
1874,
3059,
5659,
1379,
1645,
3953,
6764,
1510,
2361,
1421,
4756,
2693,
1385,
58058,
2693,
59342,
1733,
2424,
59361,
59323,
11600,
1385,
3193,
1615,
4931,
73,
2738,
2424,
59361,
59323,
11600,
1991,
1554,
3946,
6276,
12940,
12522,
2055,
1358,
4791,
2675,
3237,
1649,
1843,
9533,
72,
20043,
1431,
14417,
72,
1826,
59361,
59328,
2980,
1421,
1348,
16347,
9616,
1379,
1807,
6643,
1457,
1766,
2434,
2147,
3946,
1441,
45122,
1385,
4487,
11097,
72,
5,
3457,
5737,
14181,
1384,
5731,
59342,
1554,
2661,
7633,
1377,
1939,
16809,
72,
6212,
59342,
1615,
4756,
2434,
1410,
34424,
1384,
13252,
1450,
4936,
63,
8119,
4246,
72,
52989,
59342,
1807,
3178,
4157,
1450,
2025,
17549,
55571,
1597,
10700,
12944,
59342,
1697,
1410,
1807,
5065,
3914,
1385,
4906,
6409,
21744,
1384,
10085,
45639,
72,
29629,
2944,
59332,
1507,
13400,
72,
5082,
3607,
59342,
1554,
3946,
46631,
1358,
7141,
1379,
6643,
1457,
1580,
2086,
1807,
2111,
72,
1874,
5514,
1457,
2336,
1449,
1580,
4708,
2434,
1385,
12124,
1796,
1807,
3059,
1410,
10004,
1385,
1615,
3923,
72,
5,
5,
3457,
3334,
1807,
2111,
2750,
1842,
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44194,
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4812,
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2505,
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2844,
2367,
1646,
1658,
1988,
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20043,
1431,
72,
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72,
5,
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1613,
1980,
1377,
1621,
7550,
18516,
59345,
8712,
18892,
43958,
2686,
1366,
59336,
1461,
1822,
1351,
13456,
59342,
1536,
6544,
10840,
59358,
5,
1565,
3915,
2528,
1358,
9400,
2957,
1377,
1348,
3739,
2369,
1426,
1778,
72,
49364,
6265,
32643,
59347,
27749,
1358,
2357,
3843,
1385,
1441,
9522,
1377,
1358,
17549,
1426,
1778,
72,
3882,
1536,
1410,
2361,
17549,
59342,
15894,
59347,
72,
5,
47159,
59358,
1887,
1502,
2302,
2223,
5723,
1449,
1571,
4848,
1458,
17549,
59320,
63,
1796,
1449,
1502,
16157,
59342,
3079,
8257,
1450,
1868,
59347,
1384,
31845,
59347,
72,
5,
5,
2153,
1358,
2652,
1789,
1379,
1358,
13456,
59342,
1358,
6544,
27749,
1859,
9223,
72,
33853,
1980,
1544,
26255,
6957,
1450,
1358,
52743,
3385,
17549,
59342,
33853,
1980,
1358,
58058,
17549,
59342,
1366,
14906,
59342,
1929,
1385,
2456,
2054,
1450,
1895,
5799,
72,
5,
14716,
7687,
1895,
6882,
1377,
22615,
59320,
59349,
59342,
1358,
6544,
39244,
1358,
13790,
2024,
1358,
2357,
3843,
1410,
59320,
63,
3882,
6265,
32643,
1580,
24097,
74,
5,
5,
5592,
1613,
1751,
1457,
1358,
6544,
1649,
4755,
1358,
3843,
1467,
1348,
2653,
59344,
59362,
59373,
59375,
25124,
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59344,
59362,
59373,
59375,
59320,
63,
1384,
23803,
3067,
1571,
1441,
3952,
1835,
1476,
74,
5,
47159,
59358,
3410,
1441,
7913,
2024,
1358,
2361,
17549,
59342,
2357,
3843,
1410,
1449,
1502,
23825,
1377,
1615,
1758,
72,
5,
4268,
22615,
10181,
20367,
4844,
1358,
6554,
1379,
2608,
1872,
2629,
4539,
2104,
1502,
1385,
31691,
1421,
1940,
59332,
20875,
5643,
26891,
6265,
32643,
72,
33853,
1980,
1377,
1358,
1933,
1789,
1379,
1358,
22615,
59342,
2009,
6554,
1502,
8811,
1377,
4946,
12657,
3739,
2369,
72,
1646,
1358,
2554,
1789,
59342,
1358,
6544,
15001,
1432,
2123,
1630,
1378,
2686,
2445,
6554,
1379,
1348,
3331,
10840,
1426,
59447,
1398,
4263,
59347,
1467,
1348,
3077,
3268,
1379,
1536,
3089,
72,
5,
47159,
59358,
3410,
3079,
1385,
2163,
8592,
1377,
58058,
2361,
17549,
18491,
1758,
1385,
17549,
4694,
3470,
2118,
1533,
1450,
1358,
6554,
1379,
3636,
12905,
72,
5,
2219,
3862,
22615,
1523,
14202,
1450,
20367,
3798,
1895,
6554,
72,
20043,
1431,
73,
33853,
1980,
1377,
8712,
18892,
1397,
13971,
2113,
1715,
22615,
59342,
1358,
6544,
4511,
1348,
58724,
1379,
2009,
6554,
72,
1426,
6698,
1541,
1358,
58058,
17549,
59342,
6544,
59377,
59344,
59362,
59373,
59375,
59328,
9223,
1377,
1358,
13456,
59358,
59320,
72,
1385,
4515,
4539,
2104,
7745,
1410,
16822,
4578,
7172,
11061,
59347,
72,
33853,
3265,
1457,
1358,
17549,
1835,
3470,
2361,
17549,
59342,
9400,
9457,
1457,
4539,
2104,
1727,
1385,
31691,
1421,
49364,
6265,
32643,
59320,
63,
1384,
2110,
5530,
1432,
1385,
3331,
1707,
3545,
72,
3317,
1630,
1378,
20068,
73,
1646,
1536,
22615,
59342,
1358,
58058,
2361,
17549,
59342,
3317,
1630,
1378,
6768,
20068,
73,
58058,
2361,
2642,
2303,
1377,
1358,
5120,
1379,
4281,
7983,
1377,
12869,
18741,
1520,
1358,
4539,
72,
1507,
6544,
2336,
25026,
1823,
1432,
52743,
1981,
3385,
17549,
2113,
20043,
1431,
73,
1507,
6544,
11019,
1348,
3138,
1379,
3507,
59342,
5799,
59358,
5,
29411,
1364,
21836,
8811,
1520,
40341,
1895,
2686,
1520,
34835,
24081,
7903,
1520,
1527,
16601,
2624,
1379,
2361,
17549,
59342,
1348,
3542,
8462,
72,
5,
47159,
59358,
1476,
1410,
8488,
59342,
2980,
1385,
1580,
1458,
9223,
1377,
1615,
17549,
72,
5,
5,
5857,
1476,
1410,
2361,
17549,
59342,
20043,
1431,
11331,
73,
1646,
5978,
4189,
1536,
1410,
1348,
9999,
1379,
1358,
17549,
52743,
1981,
3385,
17549,
59342,
14231,
1379,
1615,
9223,
59320,
63,
1696,
1449,
2147,
1675,
1536,
24494,
72,
24381,
59358,
1417,
1580,
27083,
1421,
1536,
4310,
59320,
63,
1733,
2024,
3427,
2185,
1432,
1525,
1536,
72,
5,
6577,
1982,
1580,
14619,
1457,
1536,
17549,
1410,
58058,
17549,
59342,
17549,
1410,
2123,
1630,
1378,
2686,
59342,
2849,
1379,
58058,
2361,
59342,
37144,
59342,
3245,
20239,
1384,
32984,
3834,
1583,
7917,
72,
5,
47159,
59358,
3410,
2376,
1615,
1758,
2362,
15563,
2533,
1449,
10952,
1476,
72,
44152,
4757,
1615,
19246,
1432,
1358,
4925,
72,
31103,
4294,
1707,
1384,
10195,
1525,
1397,
13971,
59342,
1348,
3538,
4015,
72,
5,
15998,
1377,
1358,
14118,
5689,
59342,
1449,
1929,
1385,
2381,
1645,
1358,
58058,
17549,
59342,
24389,
1449,
1580,
13530,
1385,
52743,
3385,
17549,
59348,
59333,
2139,
59347,
1377,
1358,
17549,
59320,
63,
1573,
1645,
1358,
24389,
1449,
1580,
2376,
59342,
1467,
1895,
3650,
45197,
1434,
5842,
72,
33853,
1457,
1358,
2361,
59342,
5871,
17549,
19309,
1385,
1348,
3616,
1379,
11341,
24389,
72,
1900,
1410,
1348,
2471,
2189,
59342,
1384,
13271,
1457,
1358,
6544,
1649,
3952,
1348,
8145,
4503,
1379,
6125,
72,
5,
47159,
59358,
3079,
1385,
3382,
1348,
6616,
1385,
2121,
1379,
1358,
24389,
1457,
1449,
2376,
1421,
2123,
1630,
1378,
2686,
3507,
1363,
17549,
59320,
63,
1733,
1457,
1449,
1571,
2610,
1712,
1348,
15251,
2381,
1379,
14118,
72,
5,
5,
5918,
3884,
59342,
1645,
14118,
1580,
1385,
1441,
7299,
1385,
58058,
17549,
18491,
9223,
72,
5,
5592,
1613,
1980,
1358,
6544,
5726,
1417,
1377,
52743,
3105,
3385,
17549,
37057,
58058,
30081,
1828,
1571,
4022,
1441,
2303,
1377,
10676,
5012,
72,
1646,
3739,
59342,
1358,
2558,
2885,
1385,
1896,
2054,
1410,
1377,
1358,
13456,
59320,
63,
1882,
1449,
1502,
20082,
1615,
9223,
72,
5,
5,
5857,
1796,
1449,
1502,
14202,
1457,
1476,
1410,
2123,
1630,
1378,
59342,
1573,
15752,
1385,
1896,
1417,
59342,
1449,
1571,
1896,
1875,
17863,
59320,
63,
1697,
6352,
2276,
63,
14734,
59342,
1696,
1697,
3341,
2636,
1358,
2461,
4562,
59342,
1401,
72,
59338,
72,
1900,
17549,
1601,
22011,
1457,
59320,
72,
12886,
73,
25302,
4719,
59342,
1457,
1358,
3098,
2980,
3843,
1410,
1573,
1358,
6141,
1449,
1896,
1385,
2671,
1615,
9223,
59320,
63,
1696,
1457,
1615,
17549,
4780,
1649,
1348,
4104,
9223,
72,
5,
32671,
1385,
3386,
1615,
22615,
59328,
1348,
15251,
4452,
72,
20043,
1431,
11331,
73,
1426,
32386,
22615,
59328,
1377,
1536,
17549,
1502,
2914,
59320,
59387,
63,
59384,
30078,
2288,
72,
59347,
5,
59357,
24697,
1502,
2086,
1385,
8528,
1358,
3924,
1379,
1358,
6554,
1449,
1580,
2086,
1377,
58058,
17549,
18491,
1940,
59332,
20875,
1585,
7890,
1358,
3924,
72,
3348,
1502,
3263,
1467,
2653,
59344,
59362,
59373,
59375,
29622,
63,
16384,
32266,
59377,
59344,
59362,
59373,
59375,
49036,
14347,
59358,
5,
5,
59426,
5046,
2336,
1649,
1348,
6265,
6983,
1379,
2025,
1835,
59320,
59345,
72,
59362,
59342,
1384,
58058,
2814,
16095,
1449,
2147,
2144,
1458,
5272,
1385,
2376,
6554,
1377,
1766,
4611,
2071,
59342,
1536,
1410,
6822,
59342,
1573,
3410,
3259,
72,
1646,
2213,
4055,
59342,
1896,
1358,
2653,
59344,
59362,
59373,
59375,
59333,
2139,
1377,
59377,
59344,
59362,
59373,
59375,
5549,
72,
5,
11783,
1449,
1502,
20367,
3798,
1358,
2361,
17549,
59342,
6554,
1379,
1348,
10840,
59342,
1449,
1929,
1385,
2686,
3507,
1848,
13282,
17863,
1972,
1358,
58058,
2361,
59342,
6915,
2086,
2438,
59358,
5,
5568,
1709,
59447,
1398,
4263,
59400,
5726,
1358,
3717,
59320,
72,
5,
49002,
1385,
32467,
4263,
72,
5,
5,
6577,
1896,
2009,
1385,
2123,
1630,
1378,
2686,
3507,
18766,
6907,
1525,
4505,
4446,
72,
14347,
72,
1646,
1658,
1988,
12886,
73,
52743,
1981,
3385,
17549,
59342,
2369,
1449,
4198,
1615,
11714,
1410,
2361,
17549,
59342,
8488,
1421,
4756,
59342,
1348,
15424,
59342,
1449,
3094,
3946,
3020,
1932,
6423,
72,
59347,
5,
14620,
41025,
1870,
1882,
1449,
2235,
1385,
17215,
1998,
1348,
3848,
72,
1426,
11783,
1449,
1675,
1536,
1377,
1348,
15424,
59342,
1449,
1929,
1385,
58058,
17549,
1585,
7890,
1457,
1476,
1410,
1615,
18529,
72,
59347,
5,
4453,
59377,
59344,
59362,
59373,
59375,
59328,
15752,
1385,
2123,
1630,
1378,
1848,
17271,
4148,
1377,
58058,
17549,
3628,
5200,
72,
1515,
13971,
73,
1900,
1410,
3263,
1467,
1458,
2653,
59344,
59362,
59373,
59375,
5103,
63,
16384,
32266,
59377,
59344,
59362,
59373,
59375,
45890,
1384,
1410,
2362,
3298,
1377,
10676,
5012,
72,
33853,
1358,
1896,
1379,
58058,
2361,
59342,
20043,
1431,
11331,
73,
1697,
1544,
24758,
72,
5,
4453,
59377,
59344,
59362,
59373,
59375,
59328,
2362,
2980,
1385,
2144,
1476,
4104,
1385,
58058,
2361,
17549,
18491,
13790,
1882,
1745,
22615,
12618,
1384,
1348,
1715,
1745,
14068,
72,
1646,
1536,
22615,
35149,
59373,
1743,
1887,
1410,
1895,
3543,
1421,
25014,
72,
33853,
1980,
1358,
6544,
1649,
2086,
28075,
1371,
1385,
8589,
3527,
1819,
2049,
1710,
1536,
4104,
72,
5,
2208,
5344,
1379,
1753,
1910,
1745,
16694,
1377,
4452,
2147,
1441,
16656,
1525,
1358,
2357,
3180,
72,
1646,
1658,
1988,
20043,
1431,
73,
29158,
73,
15483,
72,
15803,
59358,
43292,
72,
5,
4453,
1410,
10444,
14853,
3298,
1421,
3650,
1385,
4473,
1385,
33705,
3335,
1525,
1358,
1621,
7550,
18516,
59345,
1397,
13971,
59342,
2809,
5997,
4494,
1377,
1766,
33705,
72,
1646,
3002,
1385,
58058,
2361,
13064,
7458,
4528,
1384,
4853,
1379,
3303,
59342,
1449,
1929,
1385,
3382,
59358,
5,
2445,
9558,
1421,
1358,
3303,
1882,
1449,
26994,
1358,
3303,
72,
5,
47116,
4494,
14118,
1571,
1441,
2362,
5310,
59342,
1449,
17743,
1929,
1385,
8800,
1895,
36646,
59320,
63,
1887,
1410,
1348,
3718,
1379,
39911,
2914,
72,
2023,
50100,
25666,
73,
7954,
1645,
5751,
15563,
1385,
1441,
3221,
1358,
2434,
4580,
1649,
51819,
1426,
72,
12590,
1384,
59320,
72,
2647,
5751,
1502,
8522,
1358,
1753,
11232,
59347,
72,
5,
2047,
4107,
74,
17972,
74,
33343,
74,
5,
5,
14085,
2889,
1531,
9201,
72,
5,
5,
40628,
20043,
1431,
12093,
59320,
63,
5,
5,
9821,
1385,
18259,
1458,
1646,
1658,
1905,
20043,
1431,
59358,
2426,
6249,
1996,
1384,
18690,
34449,
5,
5,
9821,
1385,
18259,
1348,
19567,
34359,
22751,
29158,
72,
5,
6577,
59361,
1352,
1432,
1348,
12575,
3303,
72,
5,
21074,
1458,
5090,
63,
32022,
2787,
1377,
58058,
59342,
4199,
1379,
2367,
2686,
59342,
3531,
59799,
1426,
16580,
1450,
1664,
2438,
59347,
59320,
72,
5,
20079,
7794,
11247,
4934,
59358,
5,
59354,
59376,
12023,
20823,
59342,
6682,
1715,
5883,
59342,
1384,
18129,
59354,
5,
5592,
5963,
59342,
1573,
1457,
2471,
3569,
72,
6264,
2104,
3427,
4759,
5711,
2352,
2493,
1379,
3298,
14279,
72,
1646,
1658,
1988,
72,
3271,
1449,
1580,
18338,
6595,
9146,
72,
5,
24346,
59342,
1536,
1410,
17549,
1835,
3470,
59324,
16345,
1432,
1980,
1385,
58058,
2361,
59342,
5066,
1348,
21502,
14165,
72,
1426,
11242,
1450,
1664,
3351,
6068,
59347,
59320,
72,
5,
33972,
1887,
59361,
59328,
1895,
1875,
5090,
63,
32022,
2787,
1450,
1536,
7794,
11247,
59358,
5,
59380,
32301,
1384,
36482,
12470,
1615,
5883,
1601,
38403,
1379,
59799,
30486,
6446,
1384,
6092,
28638,
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<s> Informational process essay
IELTS Writing Task 2: How to write an introduction
A full lesson to learn how to write an introduction for an IELTS essay. This lesson explains the content of the background statement
Informative Process Analysis - ENG 121: Academic Writing (Anna
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Genocide In Darfur Essays and process essay, Research Papers.
" Genocide in review in case researchDarfur " Why should the United States have to processbe the country that has to help save everyone? The . genocide in Darfur , a region in journalSudan, has been happening since 2003 and not much attention or effort has been put on the crisis. Informational Essay. It has been stated that the template statement, Arabs in Darfur think that they are the only good race and are murdering everyone else. The United States is the main leader in giving the Darfurians the aid and support they need. Although the United States has not yet given military.
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Bodies is it a Genocide ? No Not really " Darfur is more than an occasional headline in the newspaper or 20 seconds on a forgotten . Process Essay. nightly newscast. It is where genocide continues to literature study researchhappen while the informational essay, rest of the wpaper, world goes through the motions of process essayconcern but does nothing of substance to stop it. Will the world ever wake up?" (Steidle) Rape, murder, and destroying villages are happening in Darfur , Sudan. The Africans of Darfur having nowhere to go, and almost the whole population in Darfur starving to.
Darfur , Darfur conflict , Genocide 2440 Words | 6 Pages.
? The Genocide of Darfur Darfur is a region of Sudan that lies in the outermost locality of the Republic of . Sudan, where it borders the Central Africa.
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African Union , Darfur , Genocide 734 Words | 3 Pages.
Sudan, Darfur , meaning land of the fur people, has been getting a lot of essayattention researchbe a deadly war. This Genocide has been described as the "first great episode of genocidal destruction in the 21st century" (Reeves, 2005). Discussion process essaysome cases. Literature Research. But why do people debate whether or not the informational process essay, situation is one or the other? What exactly is the high essay, difference between the two? Well, what's the essay, difference between a brown and yellow banana? A ripe, red strawberry or a black, shriveled one? An ethnic cleansing, yellow banana, and unforgettable school experience, ripe red strawberry all have one thing in informationalcommon: they look.
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Global Issues in Crime and Justice The war and genocide in review study researchDarfur (Sudan) (2003-2010) The conflict in . Darfur officially started in February of process essay2003 when a rebel group launched an harvard edu research wpaper nsfattack on Golo. This rebel group refers to themselves as Sudan Liberation Army (SLA). Not long after, another Darfur rebel group arose, identifying itself as the Justice and Equality Movement (JEM). The uprisings from the rebel groups, however, did not draw immediate reaction from the Sudanese Government.
Darfur , Darfur conflict , Genocide 2402 Words | 6 Pages.
The ten years of carnage became known as the Darfur genocide and informational process essay, represented one of the worst atrocities in the modern era, that . Edu Research. still rages on today. Many of the defined stages of genocide can be recognised in this period including classification, organisation, preparation, extermination and ultimately afterwards denial. Essay. Thanks to literature in case studythe UN, as well as various Journalists, the rest of the informational essay, world was informed, and template for personal, thousands of lives have been saved.
Darfur is the major region in the west of Sudan. The.
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Darfur and the Crime of Genocide Book Report.
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Conflicts in template for personalSudan: Genocide in Darfur.
The Republic of Sudan, or Sudan as it more commonly known, is currently in processa state of crisis. Darfur , in western Sudan, is in the middle of the . For Personal. worst humanitarian crisis in the world right now. They are on the brink of genocide , the deliberate killing of a very large number of people from a particular ethnic group or background. Like Most civil wars the incidents have been occurring for processover twenty years. The armed conflict began to get serious in February of 2003. It was then that the Sudanese.
Chad , Darfur , Genocide 1548 Words | 4 Pages.
remain silent while the leaders of the world make excuses for failing to publishing journalprotect the people of Darfur . I am writing to voice my compassion for . the victims and my anger at the leaders who are timorous, complacent, and unwilling to process essaytake risks. Remember: Silence helps the braille research paper, informationala literature review in case study research, probably what happened to Neanderthals. Informational Essay Literature Review Study. right to essaylife, liberty and security of person. The right to life seems like the most basic right; a person is born, and they have the right to publishing journalbreathe air, drink water, and make any other necessary decisions to live. However, every now and then someone (or a group of people) decides that a person, or an entire race, does not deserve to live. Informational Process Bush declared this Crisis Genocide Where is this taking place? -This is taking place in phd thesisSudanin the Darfur region of the Sudan is genocide . A genocide similar to the holocaust of the Jews during WWII. Both . the holocaust and the Darfur genocide have many similarities and essay, differences. The holocaust was to exterminate all Jewish people.
In Darfur the conflict is literature in case research, not against two different religions but instead against two different races. Informational Process. Like the holocaust many innocent civilians have lost their lives in both genocides . High Experience Essay essaydonating money, making your voice heard, and be aware. Thesis: Introduction: I. Attention-getting device: 400,000 people have died. 2.3 million people have fled their homes and communities and now live in IDP's. 200,000 are now living in refugee camps in neighboring Chad. School. How many more will die before this genocide stops? Who knows.
II. Signifgant statement.
Darfur , Darfur conflict , Genocide 1287 Words | 4 Pages.
March 2012 Extermination in process essayGenocide All genocides that have occurred in human history include various stages that . are usually present; however, extermination, the 7th stage of genocide , is one that is present in all genocides . From the Armenian genocide and Darfur genocide , to journalthe Rwandan and Jewish genocides , extermination is ever present in all of these. Extermination is explained to be mass killings of people, which defines the legal term " genocide ", and is caused when the killers.
Armenian Genocide , Armenians , Ethnic cleansing 1105 Words | 4 Pages.
The Darfur Conflict: Those Who Seem to Support It, Those Who Suffer Most from It, and the Difficulties in Ending It #8195; Conflict . in the Darfur region of Sudan has taken the lives of over process400,000 persons in the 21st century, perhaps as much as 20 percent of the regional population (Wikipedia, 2008). Nearly 2.5 million have been displaced from land they have inhabited for for personal statementmany years (Lynch, 2007). But, the world has done little to stop it or assist the people affected. The situation.
Darfur , Genocide , International Criminal Court 1324 Words | 4 Pages.
Darfur , Sudan is in western Africa with Egypt to the north, Ethiopia to the east, and Chad to the left. Darfur is a place where a . conflict involving the informational essay, Janjaweed, a government-supported militia recruited from local Arab tribes, and the non-Arab people of the region. This is braille, a place where both sides are largely black in skin tone, and the distinction between Arab and anon-Arab and is disputed heavily by the Sudanese government. Informational. In a country with a population of (since July 2005) 40,187,486, the.
Africa , African Union , Health care 739 Words | 2 Pages.
Genocide : Rwanda, Darfur , and publishing phd thesis, the Holocaust "I can't go on. It's over" (Wiesel 56). This quote from Elie Wiesel's Night is . the thought pattern of Wiesel and the captives of the concentration camps who faced, and are still facing genocide . Process Essay. Genocide is defined as "the deliberate and systematic extermination of a national, racial, political, or cultural group" (Dictionary.com). Through mutinous acts of genocide , the literature review study research, concept of exterminating ethnic groups thrives in the region of Darfur in Sudan.
Genocide , Hotel Rwanda , Hutu 973 Words | 3 Pages.
?MD Rahatin Hassan English- 1302- 15 October 2014 Genocide Millions of people have been killed all the way through history by their government . or rulers. There are many reasons to essayhate them like nationality, race, diversity, religion and braille paper, ethnicity. Global problems have many causes and informational process essay, effects as well. One of the essay about government, Rwanda is a sovereign state in central and east Africa. * The term . Informational Process. ' genocide ' did not exist before 1994. It is a very specific term referring to violent crimes committed against members of a national, ethical, racial or religious group with the intention of destroying the existence of the group. Geno- comes from the Greek word for race or tribe and experience, –cide comes from the Latin word for killing. Genocide came into general use only.
Burundi , Hutu , Juvenal Habyarimana 1477 Words | 4 Pages.
? Genocide in processDarfur Amerika Jayme 2-20-13 World Geography Beginning in template for personal statementthe 1980s there has been . conflict surrounding the Region of Darfur in the country of Sudan. What started as mild competition for resource between ethnic groups quickly escalated into mass genocide through a combination of process essayRebel and Government conflicts. After years of drought and role, famine in Sudan, ethnic conflict begins to emerge. Informational Process Essay. In 1998 Arabic speaking groups begin terrorizing the Masalit people.
Darfur , Genocide , International Criminal Court 584 Words | 2 Pages.
U.S. Involvement in the Crisis in Darfur.
U.S. Involvement in statementthe Crisis in Darfur Since the end of the informational process, Cold War, Africa has been a continent rife with violence mainly in the form of . civil war. This can be attributed greatly to literature reviewthe halt of economic and informational, political progress after the two superpowers, the United States and the Soviet Union, no longer needed to compete in Africa. Now that the rivalry has subsided neither country has any real reasons, economic or political, to have as large of a presence in the Post-Cold War era. Not only.
unforgettable school essay, possibility, but when it comes to genocide , you already know right from wrong. The best reason I have come up with for looking closely into Rwanda's stories is process essay, that ignoring them makes me even more uncomfortable about existence and my place in experience essayit. . . . (At p. 19.) Gourevitch tells in.
Burundi , Democratic Republic of the informational essay, Congo , Human 1504 Words | 5 Pages.
Never Forget the Genocides Although the Holocaust ended in 1944 with the deaths of government rolemillions, the genocide in . Darfur claimed the informational, lives of 400,000 people and displaced over 2,500,000 in high experience essay2003 and is still going on to this day (Document G). With so many lives lost in the tragic genocides people wonder if there is process, anything that can be done to prevent more from occurring.
The basic concept of genocide developed in 1915 with the unforgettable high, Armenian Genocide (Document H). In 1944 the term genocide was formed based.
Adolf Hitler , Genocide , Nazi Germany 857 Words | 3 Pages.
The term genocide was not coined until 1943 when Raphael Lamkin used it to informationaldescribe the Nazi reign in Europe (ROD notes). . Genocide refers to the systematic destruction of review study researcha racial or cultural group. Two examples of this are the Holocaust and the Rape of Nanking. The Holocaust deals with the Nazi's takeover of Europe during World War II, and the Rape of Nanking is the informational process, Japanese invasion of China in the late 1930's.
These events in history serve a painful reminder of the cruelest depths of essayhuman nature.
International Criminal Court , International Military Tribunal for the Far East , Nanking Massacre 1216 Words | 3 Pages.
humanity that shows our capacity for hatred and ignorance. Unfortunately, genocide is a real part of process essayour history and is still occurring in a . world that should not allow this type of atrocity to happen. There are four events in our history where a mass murder of phd thesis journala people happened and essay, although it is in unforgettable high school experienceour human nature to label these murders as genocide , I will explain why I think only informational essaysome of these events can be called genocide . For Personal Statement. During the times of exploration of our world, travelers from faraway.
Adolf Hitler , Crusades , Genocide 946 Words | 3 Pages.
of genocides There have been many genocides throughout history, and most of them have been mass killing fields such as Rwanda, . Cambodia, the informational, all genocides or at least the ones described on top are derived from one and only cause; and that is the for personal, state itself (government). Genocide is inevitable.
Genocide , Hate speech , Nazi Germany 1506 Words | 4 Pages.
The Rwandan Genocide History has a funny way of repeating itself. After World War II, the United States and the rest of the international . community promised to do all they could to prevent future genocides . However this was a promise they were unable to keep. In 1994 when Rwanda went through genocide the United States and U.N were absent, leaving the Tutsis to be brutally murdered by the Hutus. As a consequence 800,000 Tutsis and informational, moderate Hutus were killed and dumped into about governmentmass graves. Informational Process. Once again.
Arusha Accords , Hutu , Juvenal Habyarimana 1759 Words | 5 Pages.
Armenian Genocide Throughout history, instances of religious groups turning to violence or being victimized for their religion have . unfortunately occurred. The most prominent instance of this that immediately comes to mind for most is the braille paper, Holocaust informational process, Societal and Emotional Impacts of researchPhotographs from the Civil War in Darfur.
Running Header: Genocide in a Photo Genocide in a Photo: An Essay Describing the Societal and Emotional Impacts of . Informational Process. Photographs from the Civil War in Darfur Robert K. de la Rosa South Texas College Miss Laura Steinert ENGL 1302.WO6 September 18, 2008 Abstract Photos of the genocide and casualties of essaywar from Dafur show the process essay, world the darker side of humanity. Essay About Government Role. The particular photos inside this essay embody the hard life and informational process essay, murder that the citizens must face.
Darfur , Darfur conflict , Genocide 1217 Words | 4 Pages.
|Root Factors of a Genocide : A Comparison Between Sudan and Rwanda . |4/8/2013 As humans we all have moral and legal obligations, and since none of publishing journalus can succeed on our own, we need to invest in each other, in order to fully reap our potential. The following.
Genocide , Human rights , Omar al-Bashir 1491 Words | 5 Pages.
Who Was Most to Blame for the Darfur Conflict?
Using my own knowledge and information, who do I think was most to blame for the Darfur Conflict? The Sudan Conflict (Also known as the . Darfur Conflict) began in the 1980's with disputes between the informational, Black Africans and the Arabs over remaining farmland that hadn't become scarce due to a series of droughts. The Arabs (who bred and grazed cattle) needed land that the statement, informational essayresponse to the Holocaust. Since then, the world has failed to respond to research paperthe . genocides in Rwanda, Uganda, and essay, Sudan. The phrase "Never Again" means exactly what it says. The world knew that the war was so bad, and so many people had died, that they would never let it happen again.
Many nations reacted to the Holocaust, which is why it was a world war. Britain and France declared war on Germany two days after Hitler invaded.
Genocide , Omar al-Bashir , Rwandan Genocide 1103 Words | 3 Pages.
The Consequences of the Bangladesh Genocide In the beginning of 1971, West Pakistan attempted to eliminate the Bengali culture in in case researchEastern . Pakistan. With the formation of the Bengali nationalists creating their own country, the liberation war occurred in Bangladesh which caused the genocide . In reality the liberation war was a smoke screen to hide the informational process essay, genocide that was being committed on the Bengali people, from the Pakistan government. Over three million people were killed and over fifteen million.
Ayub Khan , Bangladesh , Bangladesh Liberation War 2736 Words | 7 Pages.
Genocide in unforgettable school experiencethe informational process essay, reoccurrences of acts of genocide . During the twentieth century, these incidents of researchgenocide have become more apparent; due to the fact that communication and media have advanced so far there have been more specific details that have come to light.
Cambodia , Genocide , Khmer Rouge 2431 Words | 7 Pages.
Rwanda: The Aftermath of the Genocide.
Aftermath of the Genocide By taking a closer look at Rwanda and process, its people, I came to essay governmentrealize that despite the genocidal violence that . occurred, Rwanda was its' own country with its' own unique traditions, customs, and cultures. Nonetheless the media attention surrounding the genocide in Rwanda is unavoidable. By researching Rwanda I have come to find out that one thing the essay, media does not cover is the aftermath of the genocide . I will take a closer look into why the braille, genocide happened, what we.
Genocide , Hutu , Juvenal Habyarimana 2299 Words | 7 Pages.
1,071,000 people were killed in informational process essaythree months due to the genocide . This genocide is considered as the conflict between the two . tribes in Rwanda---Hutus, carrying out the genocide , and Tutsis, having been massacred. Since it was really an review researchamazing unfortunate event, many people in the world sympathized with that sad incidence.
However, most people today think that we, as the citizen of the essay, democratic society, are inconsequential to that genocide ; it just happened because of the conflict of those two.
Genocide , Juvenal Habyarimana , Kigali 820 Words | 3 Pages.
and the school, Tutsi's. The Rwandan Genocide officially began on April 7th, 1994 and informational, lasted approximately one hundred days; however, acts of murder . have been occurring since the power shift from a Tutsi lead government, to a Hutu lead government, in the 1950's. This genocide is one of the most well know and publicized genocides , only phd thesissecond to the Nazi's in World War II. Process Essay. This genocide has become a model for the United Nations on how to work to prevent another act of genocide , such as this one, in ksgnotes1 harvard edu research wpaper nsfthe future.
Burundi , Hutu , Juvenal Habyarimana 881 Words | 3 Pages.
?Cambodian Genocide By Ryan O'Leary We all continue to remember the genocides , of Cambodia and the Holocaust and all of their . horrors.
They each killed millions of people, but if you dig into the genocides even more you will see distinct similarities and distinct differences. Although both the Holocaust and the Cambodian Genocide both were caused by powerful leaders seizing power and they both have similar ways of
The intense media coverage gave us the opportunity to behold one of modern time's worst human disasters since the holocaust. The world witnessed when schoolchildren were killed by their teachers and women of their men, these were mainly Tutsis who were killed by Hutus by using all available tools. The genocide meant that about 9 percent of the population died in.
Genocide , Hutu , Jean Kambanda 2020 Words | 5 Pages.
Rwandan Genocide Genocide is the informational process, deliberate killing of a large group of people, especially those of a particular ethnic . group or nation. ( Genocide ) Introduction In 1994 Rwanda experienced the worst genocide in modern times. The Rwandan Genocide was a genocidal mass slaughter of the Tutsis by the Hutus that took place in 1994 in the East African state of Rwanda. About Role. It is considered the informational process,
The international . community, the United States and the United Nations were to blame for the 1994 genocide in Rwanda. The United States, where people would normally look for help, surprisingly did not do as much apart from template, watching the genocide happen. The United Nations also did not provide enough support as they withdrew all their forces during the genocide . The international community.
Burundi , First Congo War , Hutu 1535 Words | 5 Pages.
Genocide in process essayRwanda Genocide does not have one particular source; rather it seems to occur when many social psychological . variables pile up and produces a catastrophe. The Rwandan Genocide is no exception to this. Many variables contributed to study researchthe horrifying events that took place in Rwanda such as the history and culture, ecological resource scarcity, the role of the elite and powerful, as well as the informational essay, ordinary people who participated and stood by as killings took place.
Rwanda ksgnotes1 edu research nsf, Huts and informational, the . Tutsis. Majority of Rwandans are Hutus who make up about 80 per cent of the population, and only about 15 per cent are Tutsis. These two ethnic groups shared the same language and culture, but there had been conflicts between the two groups that occurred during the colonial period. Phd Thesis Journal. Rwanda was colonized by Belgians after the first World War. Essay. There had been racism.
Burundi , Hutu , Juvenal Habyarimana 830 Words | 3 Pages.
Miss C/Mrs. Jordan AP World History Period 6 7 June 2013 Genocide : The Holocaust vs. the high, Rwandan Genocide The word . genocide comes from the Greek word genos meaning race or clan and cide meaning killing. In Raphael Lemkin's words, genocide is the informational, crime of destroying a specific group of unforgettable experiencereligious and/or racial people. Some areas in which genocide may occur is Africa, the Middle his ideas on genocide were adopted in the United Nations . Genocide Convention in 1948. Informational. The UN definition of publishinggenocide is very important because it is the process essay, internationally accepted definition. It defines genocide as; acts which are committed with the research paper, intent to destroy the whole, or part of a national, ethical, racial or religious group through killings, serious bodily and mental harm, deliberately inflicting conditions onto the group intended.
Convention on the Prevention and Punishment of the informational process essay, Crime of Genocide , Genocide , Jews 2411 Words | 7 Pages.
educated Hutus, killing over 90,000 in four months. With the about government role, death tolls on informational process essayboth sides of the Tutsi-Hutu conflict rising, Rwanda and Burundi began to gain . world wide attention. The United states characterized the Burundi Slaughter of Hutus as "Selective Genocide " but took no action in order to end the killings. After this, there were no more Hutu-Tutsi conflicts between 1973 and 1990. By the early 90s, Hutu extremists began to broadcast their resentment towards Tutsis through nationwide radio. Rwanda.
Burundi , Democratic Republic of the Congo , Hutu 903 Words | 3 Pages.
?The Causes and Effects of the Rwandan Genocide by ksgnotes1 harvard edu research nsfArnav Kapur In 1994, Rwanda erupted into one of the most appalling cases of informationalmass murder the . world has ever witnessed since World War II. Many of the majority Hutu (about 84% of the population) turned on the Tutsi (about 15% of the population) and moderate Hutu, killing an estimated total of 800,000 people. Ksgnotes1 Edu Research Wpaper Nsf. The main causes of the Rwandan Genocide were the shooting down of the President's plane, high population density, the media, the process essay, unresponsive.
Burundi , Hutu , Paul Kagame 1534 Words | 4 Pages.
2011 The Genocide of Rwanda Losing a loved one has devastating effects on unforgettable school essaya person that last a lifetime. After a death, a human being goes . Informational Essay. through a range of emotions, including anguish, depression, and sorrow. Add to these emotions the experience of watching a loved one die.
The trauma of helplessly witnessing a neighbor hack another person to death. Suddenly, emotions are elevated and evolve into an extreme level of fear and heartbreak. This is what happens during genocide , the systematic.
Burundi , Hutu , Juvenal Habyarimana 1815 Words | 5 Pages.
Armenian Genocide Andy Leeds Ms. Bullis English 1 April 24 Armenians are a Christian nation, and when they were a country, they were the . first to proclaim Christianity as the essay about government role, state religion. Essay. The Ottoman Empire took control of Armenia during the 15th century, and they were mistreated for quite a while due to experiencereligious differences (Christians vs. Muslims), and informational process, this mistreatment culminated and peaked during 1915-1918. During World War I, the Ottoman Empire took the opportunity among a world of.
Armenia , Armenian Genocide , Iran 2109 Words | 6 Pages.
The Rwandan Genocide During the role, summer of 1994, in the eastern African country of Rwanda, ethnic and class tensions which had been building . up over decades finally reached its peak. In this small country, one of the informational process essay, largest genocides in history took place. In a country roughly the size of Massachusetts, nearly one million people were killed over the course of unforgettableone hundred days. In the aftermath of the slaughter Informational Essay. Rwanda is located near Uganda, Congo, and Tanzania.
These . countries are located in Africa. Due to the location of Rwanda it caused controversy because many countries surrounding it wanted to take control over it. It caused tension between multiple countries and sparked a war which lead to a genocide . There are three groups in harvard wpaperRwanda world would no longer stand idly by processwhile genocide was openly occurring. Unlike the for personal, genocide . of the Khmer Rouge in Cambodia that took the informational process essay, lives of nearly two million people in the 1970s while Cambodia was rigidly closed to the outside world, the atrocities in unforgettable experienceRwanda were recorded on nightly television reports. The 1948 International Convention on the Prevention and informational, Punishment of the Crime of Genocide was shamelessly violated. Several countries, including the high, United States.
Genocide , Hutu , Peacekeeping 1553 Words | 5 Pages.
? Genocide in Bosnia The Bosnian genocide is often referred to informationalas the hidden genocide , yet it had catastrophic . effects on humanity. Over 100,000 people were killed and it displaced millions of people. The genocide occurred between 1992 and statement, 1995. The Social Federal Republic of Yugoslavia was made up of six nations under the leadership of Josip Broz Tito. Once Tito passed away in 1990, there was a power vacuum, and process essay, politicians began a nationalistic campaign pitting Serbs, Croats and Bosniaks.
Bosnia and Herzegovina , Bosnian War , Ethnic cleansing 2457 Words | 9 Pages.
What do you think is the best definition of genocide ? Justify your answer in relation to the scholarship and arguments that have most . Research. influenced your thinking. Informational Process. Genocide is review in case study research, a term defined by informationallegal, scholar and social professionals in vastly different views ranging from board to narrow. The trail to in case researchadequately define this complex act has dominated discussions and debates since the term's development in 1943 by Polish lawyer Raphael Lemkin in his publication Axis Rule in informational process essayOccupied Europe 1944. Study Research. By reading.
Acts of the Apostles , Bosnia and Herzegovina , Definition 1179 Words | 4 Pages.
Genocide in Bosnia By the End of the process, Cold war the world had already seen the end of hundreds of wars and essay about role, countless violations of human . rights. Informational. With witnessing, these events substantial progress had been made to defining what human rights are and about role, what constitutes a violation to human rights. The first of theses inalienable human rights being the biblical right to life.
Several Non- governmental organizations dedicate their time and energy to informational essaymaintaining a close watch over the world to report on.
Bosnia and Herzegovina , Bosniaks , Bosnian War 1434 Words | 4 Pages.
Douglass 18 January 2010 Genocide in Mexico This paper explores incidents of genocide that occurred in about government roleMexico from 1945 to . Informational. 2001. Research focuses on four main episodes of genocide : the October 2, 1968 massacre in Tlatelolco; the Corpus Christi massacre on June 10, 1971; and about government, Mexico's Dirty War that occurred from the essay, early 1970's through the 1980's; and the genocide of for personalwomen that has been occurring since the process essay, Dirty War. Research indicates that the essay government role, first three episodes of essaygenocide research, women reserved?
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How to Write an Informative Essay: An Outline and Basic Rules
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Read the topic and sample essay, then study the comments. Click on the highlighted text for comments about academic writing conventions; click on the notes in the margin for commentary on informational processthe unforgettable schoolpopulation growth. Several generations ago, it was generally believed that too many babies were being born, and that societies should try to reduce their populations. Process Essay! Nowadays, however, the high, concern is the essay, reverse - that birthrates are falling too low and review in case, that urgent action is needed to encourage people to have more children.
But what are the causes of this trend? And how much are the attitudes and lifestyles of young people to blame? This essay will consider a number of informational, explanations for about governmentthe so-called baby crash. My argument will be that to hold young people responsible is process, neither valid nor helpful. The best explanation, I believe , is to be found in in case studythe Process! Japan now has a birthrate of only about 1.3, and Hong Kong#039;s has fallen to below 1.0 (Ichimura and Ogawa, 2000) . Ksgnotes1 Harvard Edu Research! process essaystop it? One common approach has been to high school experience essaylay informational, this view is put forward by essayJapanese sociologist, Masahiro Yamada (cited in informational essayAshby, 2000) . Braille! He uses the term parasite singles to refer to processgrown children in publishing phd thesis journaltheir 20s and 30s who have left school and are employed, but remain unmarried and continue live at home with their parents. These young people are spoilt, he says, and interested only in informational process essaytheir own pleasure - mainly in for personalthe processolder people to interpret this as selfishness (McDonald, 2000a).
But is braille, it reasonable to attribute the informational process, baby crash to the pleasure-seeking values of the young? The problem with this view is essay about role, that whenever young people are surveyed about their attitudes to family, not only do they say they want to have children, they also express preferences for family sizes that are, on average, above the replacement level (McDonald, 2000a). Informational Essay! As an example, McDonald quotes an Australian study that found that women aged 20-24 expected to have an average of 2 edu research nsf, informational essay, motherhood less attractive.
Thus, educated middle class women are delaying marriage and childbirth or even rejecting motherhood altogether. It is claimed that women#039;s improved status - which may be a good thing in essay about government roleitself - has had the unfortunate consequence of informational process, threatening population stability.
But there are several problems with this argument. In Case! For one, the lowest TFRs in Europe are found in Spain and Italy (around 1.2), both more traditional, male-oriented societies, which offer fewer opportunities to informational essaywomen. In comparison, Sweden which has been a leading country in reviewadvancing the rights of women enjoys a higher TFR (1.6 in 1996) - even though it is still below replacement. Chesnais (1998: p. 99) refers to this contrast as the feminist paradox and process essay, concludes that empowerment of women [actually] ensures against a very low birth rate (my emphasis) . Another problem with trying to link improved education levels for women to low birth rates is that fertility in journaldeveloped countries seems to be declining across all education and class levels. In a recent survey of Australian census data, Birrell (2003) found that, whereas the non-tertiary-educated group was once very fertile, its rate of informational process essay, partnering is unforgettable essay, now converging towards that of tertiary educated women.
We can summarise the informational process essay, discussion to research paperthis informational essayreducing the number of journal, informational, benefits associated with becoming a parent. Template Statement! In traditional societies, there has usually been an economic benefit in having children because they can be a source of labour to help the family.
informational processlove you, having offspring who will carry on the family name etc. The problem, McDonald suggests, is template statement, that for many couples nowadays the economic cost can easily outweigh any perceived psychological benefits.
McDonald (2000b) discusses another type of decision-making - Risk Aversion Theory - which he says is also unfavourable to process essaythe birth rate. According to this theory, when we make important decisions in our lives life, if we perceive uncertainty in our environment, we usually err on the side of research, safety in order to avert risk. McDonald points to a rise in economic uncertainty which he thinks has steered a lot of young people away from life
Referring to the situation in Australia, he discusses men#039;s reluctance to form families in terms of process essay, school, risks of process, ksgnotes1 wpaper, failure of young Japanese to leave home and essay, start families is literature in case, not due to self-indulgence, but is an understandable response to essayincreasingly
Young people around the world seem to ksgnotes1 edu research nsfhave an increasing perception of informational process, unforgettable school experience essayhave children, not because they have more exciting things to do, but because they have doubts about their capacity to informationalprovide as parents.
If we accept that economics has played a significant role in young people choosing to have fewer babies, then the key to reversing this trend is for governments to experiencetake action to remove this sense of insecurity. A number of policy approaches have been suggested. Some writers have focussed on the need for better welfare provisions for families - like paid parental leave, family allowances, access to informational process essaychild care, etc (Chesnais, 1998). Others have called for template for personalmore selfish to do otherwise. Castigating the young will not have the effect of informational process essay, 83-101.
Genda, Y. (2000).
People and Place, No 8:2. Informational! pp 6-21.
McDonald, P. (2000b). The toolbox of public policies to publishing phd thesisimpact on fertility - a global view. Process Essay! Paper prepared for the Annual Seminar 2000 of the European Observatory on Family Matters, Low Fertility, families and study, Public Policies, Sevilla (Spain), 15-16 September 2000.
Norton, A. (2003). Student debt: A HECS on fertility? Issue Analysis No 3. Melbourne: Centre for Independent Studies.
Newman, D. (2000). Sociology: Exploring the architecture of everyday life.
California process essay, and thinking about an essay topic before you start your planning and reading for it. As part of this thinking, you should give some thought to what your position (argument) could be.
Notice how in ksgnotes1 harvard edu research wpaperthe introduction, this student writer:
introduces the topic area in a general way (ie. declining birthrates) introduces the main issue to be covered in the essay (ie. why this is process essay, happening).
Hint: there are many different ways you can begin an essay - if you are stuck, try beginning with i) and ii).
In the last part of the introduction, the student introduces his argument. Notice how he disagrees with the unforgettable experience essay, Notice how the informational essay, wpaper, need to support them with some evidence.
After giving some background in paragraph 2, the student reminds the reader what the main issue is - why birthrates have declined?
Notice also that the student has seen the issue as a #039;problem#039; - and asks What can be done about it?
Hint: always be aware what the process essay, main issue is you are addressing in your work.
This paragraph mainly summarises the ideas of those who think young people are to blame for phd thesisdeclining birthrates. Notice how in the first part of the paragraph, these ideas are discussed in essaya general way. In the second part, the student focuses on braille researchthe ideas of a single writer (Yamada) as a specific example of this view.
Hint: always try to find opportunities in informational process essayyour work to essay government roleengage with the ideas of individual writers.
The previous paragraph was concerned with summarising some ideas. Essay! Notice how in harvard nsfthis new paragraph, the student provides a critique of these ideas. (Recall the informational essay, student#039;s argument in the introduction: . to hold young people responsible is neither valid nor helpful). Notice too that the essay about role process essay, topic suggested that young people were to blame for declining birthrates - and then went on to single out women. Braille Paper! In this paragraph, the informational process essay, Braille Research Paper! informational processbe found in the condition of increased economic insecurity faced by the young. The student now elaborates on unforgettable high experience essaythis Essay! The student presents a range of paper, evidence:
several theories discussed by McDonald some research by Birrell comments by Genda results of process essay, a US survey.
Hint: it is template, important to have an argument in your essay.
But it is process essay, Essay Government! In broad terms this is a discussion of the essay unforgettable high experience essay, implications of your argument - but you should do this briefly. Think: I have argued for this position - so what might follow on from this.
You may have noticed that this essay is informational essay, essay is braille research, free of informational process, spelling, typographical and grammatical errors.
Hint: always read your work very carefully before you submit it. Avoid doing your editing on the screen. Always print out and edit from nsf, a hard copy.
Note in the references section, you need to list all the informational essay, texts you have referred to unforgettable experience essay(cited) in the essay - not all the texts you have read, as some students mistakenly believe. Notice that the process, sample essay refers to a total of nine texts. This is a good number, and indicates that the student has done a fair amount of reading.
Hint: try to include a reference to most of the texts that you read for braille research paperan essay - so that you can build up a reasonable list of references.
Of course, all references have to be relevant to informational essayyour argument.
Notice how the student uses I in unforgettable school experience essayhis informationalfact they can often be found in academic writing. In general, the best place to use them is in the introduction - when you are presenting your argument.
But if you are concerned that it is braille, not OK to use I, you can use other expressions - which avoid self-reference, but which mean much the same thing, e.g. This essay will argue that . Process! Remember though, that the really important issue is not the words you use to present your argument - but that your essay actually has a clear argument.
Try to keep your paragraphs a reasonable length. Essay Government! (Most paragraphs in this essay are around 7-8 sentences long.)
Citations are used to indicate the source of the ideas you have used in informational essayyour phd thesisindicate the source. These are known as #039;information-prominent#039; citations eg:
Japan now has a birthrate of only about 1.3, and informational Whilst you should make an effort to read ideas in their original form, this is statement, not always possible. In such cases, use the #039;cited in#039; format.
When you are summarising the process essay, ideas of a writer, you need to research paperuse reporting expressions like the informational process, ones used here:
He [Yamada] uses the term .
According to Yamada.
You use these to braille research paperdistance yourself from certain language. eg. Informational Process! unforgettable high experience essay, way you express your claims is process essay, template for personal, a quote, you must never change its sense.)
Use italics when you want to emphasise a word. (When you do this in a quote, you need to informational essayindicate that it is your emphasis.)
It#039;s OK to brailleuse dot points in informational essay things etc. Nsf! This is known as an #039;author-prominent#039; citation and is very common in academic writing. Notice the use of informational process, Essay Government! which he thinks.
It#039;s very important to make it clear to informational process essayyour reader when one paragraph ends and a new one begins. In this paragraph (#9), there is some potential for confusion. Notice how the student has used indenting to literature review studymake this clear.
Quotes of more than one sentence in length should be separated from the main text. Informational Essay! Statement! Title. Place: Publisher.
It is becoming increasingly common for students to refer to essaysources from the ksgnotes1 nsf, world wide web in their essays. In addition to informational processproviding author and title of site, you need to include:
the URL for the site when you accessed the site.
Although web references can be very useful, you obviously need to exercise some caution - there is a lot of junk around. Unforgettable Experience! Check all sites carefully to be sure the information provided has credibility (.edu and .org sites are generally the more reliable).
Problems? Questions? Comments?
Please provide us feedback.
Buy Essay Online -
How to Write an Informative Essay: An Outline and Basic Rules
How to Write a Professional Resume Summary Statement.
You're on a dating site.
Just an average-looking person in informational, search of study research, love… ( bear with me here) .
Your profile bio says:
"Loves traveling, meeting new friends, and swimming"
Not bad, not that good either. Some people might swipe right because of common interests. Informational. Or you have cute dog pictures.
Yes, this is essay about rolea tutorial on how to informational process, write a resume summary. ( stick with me another moment) .
Then there's some other average-looking person with this profile bio:
Funny and charming guy your friends will approve of…Will cook and watch Netflix with you, and unforgettable high school experiencebring you food on bad days. Loves going on epic adventures.
Who do you think is more memorable? Love for travel and meeting new friends are common on dating profiles. Bringing you food on days you're grumpy and informational essaymoody? Not so much. It's intriguing and a good conversation starter.
The same goes for applications and writing a resume summary.
Common skills get ignored. Personality and essay about government rolecreativity wins.
Write a resume summary statement that gets you hired. (graphic)
A resume summary is a short and catchy paragraph or bullet list highlighting your most defining skills, achievements, and informational essaycharacter traits. It's three to five sentences in review in case, length, the text equivalent of an IT Project Manager:
I'm a Technical Project Manager with 5 years of experience. I'm now looking for informational process essay, a new challenge that allows me to leverage my IT background and nsfresource management skills.
It mentions experience and the applicant's skills in informational process, resource management, but nothing that would stand out to high school essay, a recruiter. It's also written in a way that emphasizes what the candidate is looking for, instead of appealing to the employer.
A resume's goal is to convince recruiters you're worth interviewing.
Because you have the informational process essay, talent and experience they're looking for.
Below is an example of literature review study research, a resume summary, in process essay, bullet points, for wpaper, the same position:
* Technical Project Manager with 5 years of experience.
* Specializes in website creation, e-commerce sites, and website launch marketing.
* Insider knowledge of the ecommerce market.
* Proven skill in crafting website launch marketing campaigns that generate buzz and profit for different industries and products.
Notice how this summary statement focuses more on the applicant's strengths and what they can deliver to a hiring employer.
When to Use a Summary and When to Go for a Resume Objective.
Which approach is better? The experts I talked to are divided on this. Essay. Some say it's always better to go for a summary. Literature In Case Study Research. Others are partial to process essay, resume objectives for specific situations.
Resume Summary Statements Are Often Best.
Writing a resume summary statement is usually best, if you have years of work experience in about role, a given profession, (as recommended per HR recruiters and essaycareer experts).
It's the best way to review in case study, display notable achievements and skills, so it's not hidden—ala Where's Waldo in your work history.
Upper management candidates with a long work history spanning different industries and job titles need a resume executive summary. Without it, it will be hard for the recruiter to see their progression, and the professional brand they built for themselves. Informational Process Essay. It's also a chore to read through 10+, 15+, or 20+ years of experience.
So, When Do You Use a Resume Objective?
A resume objective, whether it reads like a wish-list or a tad less self-centered, is a good alternative for career changers, and literaturefresh graduates. Process. These groups might not have much in the way of job-related skills or accomplishments to refer to in a summary statement. Publishing Phd Thesis. So it's better to highlight their soft and transferable skills, and their passion for the job.
Why You Need a Great Resume Summary Statement.
At first glance, writing a resume summary statement looks easy. Informational Process Essay. But there's a huge difference between an average resume summary, and a top of the pile, interviewed-the-same-day resume summary. In this tutorial, I break down the ksgnotes1 nsf, process and give you examples so you can follow-along.
Before we dive deeper into the step-by-step details of this tutorial, have a look at informational process essayMono, one of our professional resume template from Envato Market, which you can readily add your resume summary statement to, and stand out from literature studyother applicants.
Mono - pro resume template, available in Photoshop, Illustrator, InDesign, and Word formats.
How to informational process, phd thesis journal, six seconds reading a resume. Based on average reading speeds, that converts to a measly 20 to 30 words. Would you waste your precious allotted time with words like "the" "a" or "and"?
And because recruiters aren't reading resumes word for word, it's safe to say they just scan it.
When a reader scans, their eyes gloss over some parts of the informational process, text. So if your resume summary is template for personal statementa big block of text, it will be extra hard for process essay, recruiters to find if there's anything worth noticing in it.
2. List and Highlight Your Notable Accomplishments.
If you've been working more than two years, don't skip this step. List down all the accomplishments you remember—the ones that earned you accolades at the office. Plaques, appreciations, certificates, promotions, exceeding annual targets, and ksgnotes1 harvard wpaper nsfmonetary awards are good bets.
Kudos from your boss or client, hitting a monthly quota, and process essayattendance incentives are too commonplace. Think noteworthy milestone achievements.
Remember, these accomplishments don't have to be from the last two or three years. Publishing. For example, managers and informationalexecutives are prized for their leadership and subject-matter knowledge. Young professionals, however, are more valued for their on-field performance.
3. Find the Transferable and ksgnotes1 harvard edu research nsfSoft Skills that Make You Stand Out.
Employees aren't hired purely due to process essay, their technical skills and accomplishments.
If that were the case companies would just hire robots.
Your transferable and soft skills are what distinguish you from candidates who have a similar degree and level of experience. Even if those skills aren't in the job ad, or remotely related to your industry, don't assume the hiring company doesn't need them.
List of transferable and soft skill examples:
Problem solving and research skills Fluent in literature study research, French (or any other language) Mastered the informational process, art of selling, without being sleazy Excellent time and stress management skills.
Now you have a rough master list of everything you can put into government roleyour resume summary statement. Essay. Set it aside for now. It's time to research the employer's side of the equation.
4. Publishing Phd Thesis. Scrutinize the Job Post and Look for Key Details.
Examine the job post you're planning to apply to in great detail. Don't just read it and rely on the keywords that immediately grab your attention.
Identify the skills, educational requirements, keywords, and informational process essayrelated essay about, networking and customer service, even if it's a non-sales position?
Let's analyze this job ad for a Graphic Designer:
I've highlighted hints that suggest the informational process, trends and what clients want in the sports entertainment industry. New brand identities: Keywords for this include conceptualizing, brand development, following the about government, client brief, and launching new brands. Informational Essay. Knowledge of social media platforms: Familiarity with size and harvard edu researchother graphic requirements, such as text constraints. Knowledge of what works well per informational essayplatform is a plus.
Pitch concepts: They're looking for a persuasive and articulate designer that knows how to sell. Literature Review In Case Study. Attending design workshop: Love for learning and continuous improvement.
This is how you decode a job ad, and subtly include keywords and informationalskills employers are looking for, without looking like you copied the ad onto your resume. Literature Review Study. Find a way to informational essay, include the skills and keywords you decoded onto your master list.
Do the same analysis earlier, but on template for personal statementresumes and LinkedIn profiles of people already working in your profession. Ask yourself:
What technical and soft skills often pop up for professionals in process essay, your industry? What awards and accomplishments are displayed on their profile? What does their educational and professional history suggest about template for personal statement, career progression?
What skills do they acquire as they get promoted? If you have any of informational essay, those frequently mentioned skills or awards, include it on template for personal statementyour master list.
6. Convert Your Master List into a Recruiter's Wish List ( This is the Elimination Round )
You're now at the most challenging step: combining your master list with what the process, job ad and industry demands.
It might hurt to think that not all of your skills and achievements are worth including in the summary. What was all that writing and brainstorming for?
Whatever you don't include in your for personal statement, the skills listed in the job ad?
Which of my transferable and soft skills are required (even subtly) in the job ad? Which might be useful in the industry? How can I solve the process, employer's problems and add value to the company? How can I differentiate myself from literature reviewother professionals in process essay, this field?
In the about government, graphic designer job example above, there's nothing listed that suggests extraordinary skills in Flash Video, or any type of video editing might be needed. So if you have that skill in your master list, better relocate it further down your resume—in the informational, skills section.
That way, it's still there if the Applicant Tracking System (ATS) looks for it. Paper. But it won't chip at the recruiter's limited attention when reading your resume summary statement.
7. Find Your Fit: Choose What Goes into Your Resume Statement.
Drawing from informationalyour newly refined master list (see previous step):
What are your top three selling points as a candidate? This includes job-specific skills, soft and transferable skills, and character traits Based on the job ad, which problems or goals, are you the best person to solve?
That's it for research paper, the tutorial. Process Essay. It's time to learn how to write a resume summary through examples:
Here's a Rough Template You can Use.
This template combines a one or two sentence short intro, with a list of bullet points so you have the ksgnotes1 edu research wpaper nsf, best of process, both worlds:
Delivers top notch (tangible result) related to (skill) (Notable certifications if any) Excellent (soft skills) that help with (employer problem or issue) Known for providing the best (transferable or job related skill) in (job task)
IT Manager with 8 years of experience in for personal, web development and operations management. You'll get the combined expertise of an informational process essay, employee-centered leader and analytical problem solver that retains and develops top talent, while running multiple profit-generating projects.
* Expertise in phd thesis journal, web and software structuring, and security that lead to less client problems and troubleshooting pains later.
* MCSE and informational processMCSD Certification, with in-depth knowledge of SQL, Python, and Java.
* Well-known for providing the best translation of geek speak into review study researchclient-friendly language.
Research-driven and versatile Freelance Writer that combines journalism and informational processdata analysis with copywriting experience to deliver content that generates a buzz. * Writes articles and press releases that drive up pageviews and sales conversion.
* Professional yet persuasive communication skills used for helping clients build relations with influencers and the press.
* Known for writing revenue-driving landing pages for startups and authors.
None of the examples in this piece have an " I " or " me " to avoid the first person, self-centered tone sometimes found in resumes. Since a resume summary statement is unforgettable essayread by a recruiter, it should be written for informational essay, ksgnotes1 harvard edu research wpaper, a resume executive summary for a Sales Director:
* 17 years of combined field and management experience in sales.
* Increased sales in essay, the southwest region by 25% via creative loyalty programs and sales incentives.
* Hired and mentored two award-winning sales teams that ended up generating profits above 7% the Achievements You Don't Care for?
Good in high experience, Excel but hate typing formulas and analyzing numbers?
Don't include it. Same goes for every other skill you have but don't enjoy. Doing so will pull you into a job that you might not like.
After you've applied the process essay, tips above to make your resume summary statement stand out publishing phd thesis journalprofessionally, turn your attention to informational process, right strategy, writing approach, and attention to ksgnotes1 edu research wpaper nsf, detail. Process. Good luck applying!
Envato Tuts+ tutorials are translated into other languages by our community membersyou can be involved too!</s>
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<s> User account menu</s>
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<s> At present, the impact of Stamina damage is minimal when one's health is full or nearly so. However, when health drops below Stamina levels, the damage escalates significantly. This phenomenon is particularly noticeable during intense combat encounters, such as those that occur mid-spawn, where a sudden depletion of Stamina can leave one in a critical state, even at minimal health levels. Remarkably, instances of surviving with zero health, albeit with fractional health points unaccounted for, have been reported, accompanied by substantial Stamina loss.
Recalling the general concept of Stamina damage, particularly that inflicted by maces, and the strategic use of'macing' by power gamers, a user sought clarification on the current in-game mechanics versus those on the test center. It appears that while Stamina damage is indeed present, the new system may exacerbate its effects.
A player, Galen, expressed confusion about the current state of Stamina damage, suggesting it might be a bug causing Stamina depletion upon receiving status effects, rather than actual damage. It is noteworthy that Stamina drains with every hit, regardless of whether the attack inflicts health damage or not. Spells like Weaken and Paralyze, for instance, currently inflict substantial Stamina damage on Test Center 1, though this may not be the case in the production version.
Moreover, the distinction in Stamina protection offered by different armor types, such as Studded Leather versus Plate Armor, is not immediately apparent. To facilitate better understanding and strategic decision-making, clear numerical values for the Stamina protection offered by each armor type - Leather, Wood/Stone, and Metal - would be invaluable.
Upon examination, it appears that each physical impact, whether sustained while equipped with the Studded Armor set, bone-Helm and Plate set, or Closed Helm, depletes approximately 10-25% of one's stamina. This observation also extends to spell damage and status effects.</s>
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2643,
3328,
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30102,
72,
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49389,
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5,
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1670,
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5,
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2643,
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64,
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72,
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2803,
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72,
6570,
3358,
5,
1670,
1670,
2969,
72,
25029,
3457,
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59320,
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3358,
5,
5,
1670,
1670,
46489,
59341,
72,
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2741,
4002,
24664,
72,
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72,
3057,
10500,
59348,
8791,
59399,
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2556,
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28418,
5,
5,
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1535,
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5,
1670,
1395,
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1670,
1395,
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13292,
59320,
62,
64,
20236,
6968,
6364,
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5,
1395,
1535,
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5,
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5,
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5,
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5,
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20023,
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5,
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1968,
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13618,
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22319,
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1669,
5,
1395,
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5,
5,
1535,
2767,
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64,
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16703,
5,
5,
1535,
2643,
2463,
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64,
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1422,
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72,
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54848,
5588,
1832,
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1653,
2559,
1739,
14348,
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5,
1535,
2643,
7966,
5588,
59320,
64,
2463,
5721,
5588,
72,
4269,
17429,
5588,
59348,
15497,
4542,
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5,
5,
1535,
2643,
2463,
5588,
59320,
64,
7966,
5588,
72,
4269,
3704,
5588,
3460,
24037,
37615,
72,
5894,
37615,
52331,
72,
1984,
24664,
16261,
5,
1535,
1436,
1426,
73,
10410,
2463,
5588,
72,
29348,
13480,
6339,
5,
1670,
1720,
3236,
59375,
5,
5,
1535,
2643,
3455,
59320,
64,
8989,
2463,
5588,
72,
8740,
13480,
8935,
1535,
5,
1535,
2643,
2463,
19832,
5291,
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64,
3455,
72,
3873,
59375,
5,
5,
1535,
1720,
8167,
3837,
24664,
59348,
2331,
19832,
5291,
72,
6825,
3358,
5,
1395,
59369,
5,
5,
1395,
3404,
4519,
59396,
22319,
59388,
8167,
3837,
24664,
59348,
7485,
7546,
59347,
5,
1395,
59368,
5,
1535,
2643,
2104,
59320,
64,
1715,
4519,
59396,
22319,
59388,
8935,
5,
1535,
22319,
2787,
59375,
5,
1535,
2631,
1426,
2643,
14697,
59320,
64,
1715,
25694,
7485,
6339,
5,
1535,
59368,
5,
1670,
6129,
72,
25029,
3457,
59348,
1791,
3358,
5,
1670,
1791,
72,
12205,
59320,
64,
59320,
59344,
59375,
5,
1670,
2631,
1426,
2643,
2245,
24664,
11504,
59320,
64,
1715,
4002,
24664,
11504,
59348,
1791,
2328,
5,
1670,
59368,
5,
1395,
1535,
3057,
3925,
4610,
2018,
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59320,
64,
2245,
24664,
11504,
72,
11833,
72,
4269,
3057,
21986,
8935,
5,
1395,
1535,
1567,
1426,
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59320,
64,
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72,
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62,
62,
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3837,
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6968,
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59320,
64,
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11504,
72,
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13292,
6968,
11504,
59348,
59325,
2328,
5,
1670,
1395,
59368,
5,
1670,
1535,
3837,
24664,
72,
3057,
72,
3057,
10500,
4610,
13398,
59320,
64,
2018,
21986,
72,
8759,
59348,
4212,
11504,
72,
8740,
10500,
59347,
72,
3457,
5779,
8935,
5,
1670,
1535,
2643,
33894,
59320,
64,
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59399,
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59400,
72,
3057,
72,
5918,
2803,
59396,
1565,
28471,
72,
3457,
5779,
8935,
5,
1670,
1535,
2643,
7141,
59320,
64,
13398,
59399,
59345,
59400,
72,
3057,
72,
5918,
2803,
59396,
2767,
28471,
72,
3457,
5779,
8935,
5,
1670,
1535,
2643,
14303,
59320,
64,
13398,
59399,
59349,
59400,
72,
3057,
72,
5918,
2803,
59396,
14438,
28471,
72,
3457,
5779,
8935,
5,
1670,
1535,
1567,
1426,
1565,
1427,
59320,
64,
59320,
59344,
59375,
1427,
1786,
2236,
11504,
72,
13292,
6570,
59375,
1427,
62,
62,
59347,
5,
1670,
1535,
59368,
5,
1670,
1670,
10061,
59320,
64,
1715,
19020,
5,
1670,
1670,
59368,
5,
1670,
1395,
1535,
2537,
59320,
64,
33894,
59399,
59339,
2556,
5,
1670,
1395,
1535,
2390,
59320,
64,
7141,
59399,
59339,
2556,
5,
1670,
1395,
1535,
5389,
59320,
64,
14303,
59399,
59339,
59400,
5,
1670,
1670,
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2
] |
<s> using Azure.Storage;
using Azure.Storage.Files.DataLake;
using AzureDatalakeStorage.Class;
using Parquet;
using Parquet.Data;
using System;
using System.Collections;
using System.Collections.Generic;
using System.Data;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace AzureDatalakeStorage
{
public class ParquetDatalake
{
private readonly DataLakeServiceClient _adlsClient;
public ParquetDatalake(string accountName, string accountKey)
{
StorageSharedKeyCredential sharedKeyCredential = new StorageSharedKeyCredential(accountName, accountKey);
string dfsUri = $"https://{accountName}.dfs.core.windows.net";
_adlsClient = new DataLakeServiceClient(new Uri(dfsUri), sharedKeyCredential);
}
public async Task Save( List<Person> people)
{
var fileSystemClient = _adlsClient.GetFileSystemClient("NomeConteiner");
await fileSystemClient.CreateIfNotExistsAsync();
string directoryPath = "teste/pessoa";
var directoryClient = fileSystemClient.GetDirectoryClient(directoryPath);
await directoryClient.CreateIfNotExistsAsync();
var data = GenerateTestData(people);
var fields = GenerateSchema(data);
var fileName = $"{Guid.NewGuid()}.parquet";
SaveFileParquetLocal(data, fields, fileName, people.Count());
var result = await directoryClient.CreateFileAsync(fileName);
await result.Value.UploadAsync(Path.GetTempPath() + fileName, overwrite: true);
}
private DataTable GenerateTestData(List<Person> people)
{
var dt = new DataTable("mkt_statusmensagem");
dt.Columns.AddRange(new[]
{
new System.Data.DataColumn("Id", typeof(int)),
new System.Data.DataColumn("Name", typeof(string)),
new System.Data.DataColumn("Date", typeof(DateTime)),
});
foreach (var person in people)
dt.Rows.Add(person.Id, person.Name, person.Date);
return dt;
}
private List<DataField> GenerateSchema(DataTable dt)
{
var fields = new List<DataField>(dt.Columns.Count);
foreach (System.Data.DataColumn column in dt.Columns)
{
// Attempt to parse the type of column to a parquet data type
var success = Enum.TryParse<DataType>(column.DataType.Name, true, out var type);
// If the parse was not successful and it's source is a DateTime then use a DateTimeOffset, otherwise default to a string
if (!success && column.DataType == typeof(DateTime))
{
type = DataType.DateTimeOffset;
}
else if (!success)
{
type = DataType.String;
}
fields.Add(new DataField(column.ColumnName, type));
}
return fields;
}
private void SaveFileParquetLocal(DataTable dt, List<DataField> fields, string fileName, int count)
{
int RowGroupSize = count;
using (var stream = File.Open(Path.GetTempPath() + fileName, FileMode.Create, FileAccess.Write))
{
using (var writer = new ParquetWriter(new Schema(fields), stream))
{
var startRow = 0;
while (startRow < dt.Rows.Count)
{
using (var rgw = writer.CreateRowGroup())
{
for (var i = 0; i < dt.Columns.Count; i++)
{
var columnIndex = i;
var targetType = dt.Columns[columnIndex].DataType;
if (targetType == typeof(DateTime)) targetType = typeof(DateTimeOffset);
var valueType = targetType.IsClass
? targetType
: typeof(Nullable<>).MakeGenericType(targetType);
var list = (IList)typeof(List<>)
.MakeGenericType(valueType)
.GetConstructor(Type.EmptyTypes)
.Invoke(null);
foreach (var row in dt.AsEnumerable().Skip(startRow).Take(RowGroupSize))
{
if (row[columnIndex] == null || row[columnIndex] == DBNull.Value)
{
list.Add(null);
}
else
{
list.Add(dt.Columns[columnIndex].DataType == typeof(DateTime)
? new DateTimeOffset((DateTime)row[columnIndex])
: row[columnIndex]);
}
}
var valuesArray = Array.CreateInstance(valueType, list.Count);
list.CopyTo(valuesArray, 0);
rgw.WriteColumn(new Parquet.Data.DataColumn(fields[i], valuesArray));
}
}
startRow += RowGroupSize;
}
}
}
}
//lendo somente um arquico pelo seu nome
public async Task<List<Person>> Get()
{
string directoryPath = "teste/pessoa";
var fileSystemClient = _adlsClient.GetFileSystemClient("NomeConteiner");
var directoryClient = fileSystemClient.GetDirectoryClient(directoryPath);
var fileClient = directoryClient.GetFileClient($"{Guid.NewGuid()}.parquet");
if (!await fileClient.ExistsAsync())
return null;
var response = await fileClient.ReadAsync();
var fileDownloadInfo = response.Value;
return ReadParquet(fileDownloadInfo.Content);
}
private List<Person> ReadParquet(Stream stream)
{
var people = new List<Person>();
Person person;
using (var ms = new MemoryStream())
{
stream.CopyTo(ms);
ms.Position = 0;
using (var parquetReader = new ParquetReader(ms))
{
DataField[] dataFields = parquetReader.Schema.GetDataFields();
for (int i = 0; i < parquetReader.RowGroupCount; i++)
{
using (ParquetRowGroupReader groupReader = parquetReader.OpenRowGroupReader(i))
{
Parquet.Data.DataColumn[] columns = dataFields.Select(groupReader.ReadColumn).ToArray();
var ids = columns[0].Data.OfType<int>().ToArray();
var names = columns[1].Data.OfType<string>().ToArray();
var dates = columns[2].Data.OfType<DateTime>().ToArray();
for (int y = 0; y < groupReader.RowCount; y++)
{
person = new Person
{
Id = ids[y],
Name = names[y],
Date = dates[y]
};
people.Add(person);
}
}
}
}
}
return people;
}
}
}
</s>
|
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] |
<s> The Extended Mind: Recent Experimental Evidence
The Extended Mind: Recent Experimental Evidence
Rupert Sheldrake
10.26.11 (Audio: 1 hr 34 min)
Some people can sense that someone is looking at them or tell who is calling before they pick up the phone, and pets can detect their owner's intentions from miles away. World-renowned scientist Rupert Sheldrake explores startling evidence that our minds extend beyond our brains</s>
|
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] |
<s> using System;
using System.Collections.Generic;
using System.Linq;
using System.Net;
using System.Net.Http;
using System.Web.Http;
using OnTap.Models;
using OnTap.Dtos;
using AutoMapper;
namespace OnTap.Controllers.Api
{
public class SpecialsController : ApiController
{
private ApplicationDbContext _context;
public SpecialsController()
{
_context = new ApplicationDbContext();
}
public IEnumerable<SpecialDto> GetSpecials()
{
return _context.Specials.ToList().Select(Mapper.Map<Special, SpecialDto>);
}
public IHttpActionResult GetSpecial(int id)
{
var special = _context.Specials.SingleOrDefault(c => c.Id == id);
if (special == null)
return NotFound();
return Ok(Mapper.Map<Special, SpecialDto>(special));
}
[HttpPost]
public IHttpActionResult CreateSpecial(SpecialDto patronDto)
{
if (!ModelState.IsValid)
return BadRequest();
var special = Mapper.Map<SpecialDto, Special>(patronDto);
_context.Specials.Add(special);
_context.SaveChanges();
patronDto.Id = special.Id;
return Created(new Uri(Request.RequestUri + "/" + special.Id), patronDto);
}
[HttpPut]
public void UpdateSpecial(int id, SpecialDto patronDto)
{
if (!ModelState.IsValid)
throw new HttpResponseException(HttpStatusCode.BadRequest);
var specialInDb = _context.Specials.SingleOrDefault(c => c.Id == id);
if (patronDto == null)
{
throw new HttpResponseException(HttpStatusCode.NotFound);
}
Mapper.Map<SpecialDto, Special>(patronDto, specialInDb);
_context.SaveChanges();
}
[HttpDelete]
public void DeleteSpecial(int id)
{
var specialInDb = _context.Specials.SingleOrDefault(c => c.Id == id);
if (specialInDb == null)
{
throw new HttpResponseException(HttpStatusCode.NotFound);
}
_context.Specials.Remove(specialInDb);
_context.SaveChanges();
}
}
}
</s>
|
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<s> Censorship Controversy
Months ago, during "Banned Books Week," I delved into the topic of book bans, which has resurfaced recently due to DAP Zairil Khir Johari's criticism of the Ministry of Home Affairs (KDN) for prohibiting certain book translations in Malay, including Charles Darwin's "On the Origin of Species," while allowing the original versions to be sold. Johari condemned this policy as an attempt to suppress Malay intellectualism. I, personally, oppose any form of censorship and express my views independently. As a Malay who reads English books and is fluent in both languages, I am not directly affected by the ban on Malay translations, but the practice is nonetheless unsettling.
As a disclaimer, I am a registered voter but do not align with any political parties or politicians. This post is not politically motivated but rather a reaction to recent developments in the censorship debate in Malaysia. It appears that Malaysians have a penchant for censorship, with significant time and resources dedicated to controlling content ranging from specific curse words to classical nude paintings, kiss scenes, and even television shows like "Game of Thrones." Remarkably, HBO Asia has managed to air a G-rated version of the series. The local film industry has been particularly impacted by these laws, with commercials and TV programs often promoting the ministry's censorship efforts to maintain racial and cultural harmony.
Sadly, many have come to accept censorship as a norm, viewing it as a government-endorsed practice that assumes the public lacks the discernment to decide what is offensive. This mindset also perpetuates the belief that all societal ills are the result of Western influences that undermine Eastern values.
The phenomenon of Westernization in Eastern nations has historical roots, having once been propagated as a cautionary tale, a "protect your children from Western influences" mantra, instilled in previous generations. Today, the narrative has shifted towards "Islamizing" one's life to counter perceived Western influences, ironically, many of which originated from the West. This oversimplified perspective has been widely accepted, and while I refrain from judgment, it becomes challenging when it offends personal sensibilities. This paranoia surrounding the English language can be traced back to colonial times, when Christian missionaries promoted English and used the English Bible, leading to the language being labeled "Kafir" by some. Despite this, English proficiency is encouraged in public education, and there are concerns about the quality of English among graduates. However, persistent stereotypes persist, with some believing proficiency in English betrays Eastern culture and values. I encountered such close-minded views more frequently during my time in Terengganu, a predominantly Malay Muslim region, where some individuals expressed disapproval of my reading English books.
In my household, Malay is the predominant language, with English playing a minimal role. Despite attending an English-medium school for four years, where I often found myself in lower classes due to attention difficulties, I believe my interest in reading and English was primarily self-driven. My exposure to English through movies with subtitles, much like many others, was instrumental in my language development. My family, while proficient in English to varying degrees, has unique challenges; my father, who grew up in Singapore, has a distinctive accent, and my mother, though capable of teaching Science and Biology in English, has her limitations. Among my siblings, I am the most proficient, able to engage in normal conversations with native English speakers, a skill I honed through practice, including speaking English with my sisters during exam seasons. While I read extensively, my sisters do not share my enthusiasm. My English, though generally strong, is not without its challenges; I occasionally struggle with tenses and have grown accustomed to speaking a form of 'Mangled English.' Becoming proficient took considerable time and practice, not something that happened overnight.
Having resolved that matter, I should mention that I am an alumnus of Universiti Kebangsaan Malaysia (UKM), an institution renowned for pioneering instruction in the Malay language. Contrary to popular belief, my education was not confined to the study of science in Malay. While certain topics were indeed taught in Malay, depending on the lecturer and the subject, the primary medium of instruction was English. Even when presentation slides were in Malay, lectures were typically delivered in English, and vice versa. This approach may displease advocates of Malay language promotion in science education, but it is reflective of the global academic landscape. Advanced scientific literature, including journals and academic texts, is predominantly published in English, with Malay translations rarely extending beyond secondary school level and quickly becoming outdated. The effort to translate such materials is generally considered futile, as English has become the international standard in science and technology.
In this context, proficiency in English is crucial for academic success. Many universities in Malaysia require a minimum MUET (Malaysian University English Test) band score of 3 for admission into various fields of study. While MUET may not be the most reliable indicator of English language proficiency, it is comparable to other English as a Second Language (ESL) tests. Critics argue that the emphasis on English in academia could lead to the decline of the Malay language. However, my university experience taught me that translating complex, technical terms from Latin, Greek, or English into Malay often resulted in nonsense, making it more challenging to grasp scientific concepts. Therefore, prejudices against English as a language do not serve academic pursuits well.
While I may not embody the stereotypical 'intellectual', as a scientist, I find myself aligned with several principles of intellectualism, such as an inquisitive nature, logical reasoning, continuous learning, and rational thought. Regrettably, some prominent figures advocate for an exclusive focus on Islamic intellectualism, often overlooking the universal values of intellectualism itself. These individuals tend to view the world through a narrow lens, filtered by their interpretation of 'Islam', leading them to perceive Islamic history, science, and economy as the sole valid perspectives. They struggle to envision the world beyond their confines and expect others to adopt their mindset. As a Muslim, I recognize that they are appropriating Islam to fit their personal beliefs, denying others the same right, and doing so in a manner that is both insensitive and destructive. It is crucial to understand that one's religion should not be used to appropriate or impose views on others.
In this jurisdiction, book censorship is predominantly motivated by religious concerns, with the local book trade largely unaffected, offering a wide range of titles. However, recent incidents have seen targeted censorship of works with Islamic themes, including those that challenge mainstream Islamic interpretations, such as those written by Western Muslims with unconventional lifestyles or perspectives, or works by other sects like Shia, satirical pieces, or any content deemed offensive by religious authorities, even if it uses the word 'Allah' in a non-Islamic context. Instead of open dialogue, the authorities impose bans, leading to mobs seizing and destroying these books, accusing sellers of apostasy. This is facilitated by laws that grant Islamic content special protection. The vulnerability of Malay Muslims to such persecution is a contentious issue, with rational discourse often hindered by accusations of being a 'bad Muslim'. Ironically, works promoting supernatural beliefs or pseudoscience dressed in Islamic language often evade censorship and become bestsellers.
Over the past few years, governments have implemented stricter regulations on media publications, leading the translation industry to walk a fine line between success, public indifference, and active suppression. Curiously, English literature enjoys a degree of immunity. One might breeze past a display of racy novels with provocative covers, yet a work discussing liberal Muslims' struggles with cyberbullying, centered around their faith, could face censorship and public outcry. The misconception surrounding Darwinism is that many still perceive it as a book about an eccentric Englishman proposing humans descended from apes, which likely explains why censors often overlook the books they prohibit.
Consider this: by merely acknowledging the existence of evolutionary theory, you've demonstrated a commendable understanding of the subject. While I haven't read "On the Origin of Species" in its entirety, my background in Biochemistry, including Genetics, has provided me with a solid foundation in evolutionary theory and its real-life applications. Charles Darwin, a naturalist and geologist, formulated his theories through meticulous observation and scientific method, sparking and expanding the study of natural sciences into diverse fields. Geneticists, for instance, employ his theories in studying genetic drift, while microbiologists use them to explore microbial evolution, pathogenicity, virulence, and genetic divergence. Darwin was not an uneducated shepherd sharing personal revelations; he was a meticulous scientist whose groundbreaking work is now available in the public domain, thanks to the internet.
This misconception is prevalent among the general public, who often rely on secondhand information. It is this type of knowledge that I find frustrating, particularly when individuals form opinions based on hearsay rather than thorough research and analysis. This phenomenon leads to non-experts discussing scientific theories, cherry-picking information that aligns with their beliefs while ignoring the broader context. For instance, some dismiss Darwinism because it challenges creationist views, despite the robust evidence supporting evolutionary theory.
The root of the problem lies in the actions of those in power who impose book bans. Driven by paranoia and offense, they resort to book burning, a practice reminiscent of the Dark Ages. Instead of fostering open dialogue, they impose bans arbitrarily, actively discouraging others from reading. Their censorship of translated works is a form of cultural suppression, impacting those who cannot read the original language.
Censorship, however, often backfires, giving banned books more attention and publicity. There are countless books in the world, and censors believe they are performing a public service by thinking for others. Ironically, many censors themselves do not read the books they ban. In this Orwellian world, the need for informed reviewers is clear.
It is noteworthy that there is no controversy surrounding the local publication of Adolf Hitler's "Mein Kampf," a public domain book. Yet, there are individuals who have excelled in school history but remain unaware of Hitler's identity, suggesting a need for a more comprehensive understanding of history. This, however, is a topic for another discussion.
Should I translate this post into Malay to reiterate my stance? I suppose I could compile a list of books that these individuals might wish to censor next. To be clear, I don't claim that everything I read aligns with Syariah principles. Hail Hydra.
I should preface this by stating that my criticism of this book is not rooted in my religious beliefs as a Muslim. While 'The Satanic Verses' possesses potential, it is arguably the most overhyped controversial novel of all time. The narrative is predominantly a disjointed contemporary drama, with a smaller portion dedicated to religious fantasy. The multiple storylines lack distinct characteristics, resulting in a confusing and disorienting reading experience. The only engaging aspect is the controversial section, but the overall structure seems haphazard, with a chaotic jumble of words that fails to cohere.
Upon finishing the book, the author revealed that they drew inspiration from various literary figures, which provides some clarity to the chaotic narrative. However, this patchwork approach results in the use of archaic words and repetitions, with sections being reshuffled. The concept of 'Satanic Verses' converges on dream sequences that include stories of pagan Arabic goddesses and the poetic use of the city name 'Jahilia', which translates to 'ignorance'. While the book's purpose remains unclear, it appears to be a social commentary and criticism of Bollywood and traditional values, romanticizing immigration and the idea of 'the grass being greener on the other side', while also indulging in anglophile fantasies. Reading it induced nightmares and caused me to fall asleep mid-read.
The book bore a certain resemblance to Yoshitaka Amano's Arabian Nights, with an otherworldly quality that made some parts particularly engaging. However, the portrayal of its various narratives through characterizations posed issues. None of the contemporary characters were intended to be likable, with the author employing satire to depict them as largely unappealing. While the book could be categorized under magical realism, it lacked a strong foundation in reality or humanity, and its dystopian elements were too disjointed to make a coherent impact.
Moreover, the treatment of female characters was problematic. They were often portrayed as submissive to male characters, with the author relying on stereotypes such as the mother figure, failed mother, prostitute, independent woman seeking male companionship, and the girl on the cusp of sexual maturity. The author's interpretation of the harem as a sanctioned brothel, renamed as 'Hijab', was a contentious attempt to subtly convey female subjugation and self-exploitation, rather than direct sexual exploitation. While the author may have aimed to explore sexual representations and polygamy, the chapter lacked depth, despite the use of grandiloquent vocabulary. In contemporary settings, female characters were reduced to one-dimensional figures in male-centric narratives, becoming caricatures rather than authentic representations of their gender. The author's attempt at progressiveness came across as dry and superficial. While I strive to avoid a complete feminist interpretation in my readings, the overpraise of similar works for their feminist themes and female empowerment left me feeling dismayed.
The most captivating aspect of the book was the exploration of the Satanic Verses within a historical context. While information on this topic can be found elsewhere, it was challenging to locate discussions that were not intertwined with the controversy surrounding Salman Rushdie. Regardless of one's personal biases or justifications, the narrative is undeniably a work of fiction and interpretation, an assertion that any reasonable individual would acknowledge. While the content did not shake my personal beliefs, the extreme reactions and subsequent violence tied to the book's existence seemed disproportionate to its actual content. In truth, the book's notoriety appeared disproportionate to its literary merit.
I must admit, I found the book to be exceptionally well-written and humorous. It is not difficult to understand why it remains banned in certain places to this day. Few realize that the book was a clever cultural and political satire of the pre-independence era in Malaysia, disguised as literary fiction. Anthony Burgess' deep understanding of Malaya and its people is evident throughout the book. His linguistic prowess, demonstrated by his fluency in multiple languages, is a testament to his skills as a linguist. Unlike his work in "The Clockwork Orange," I found this book to be easily accessible, with the use of local languages and dialects feeling natural and believable. Burgess' incorporation of mild Urdu, accompanied by subtle translations, was a notable touch, unlike the untranslated Malay phrases that appeared in the text. While the Malay used is an older version than the current Malaysian Malay, it is still understandable, albeit somewhat outdated. However, Burgess' occasional use of Manglish and the particle "-lah" in dialogues effectively grounded the narrative in authenticity.
The narrative technique employed in the book, stream of consciousness, proved effective due to its centering on the characters. The focus of the narration was primarily on key figures such as Victor Crabbe, Nabby Adams, Alladad Khan, and several secondary narrators. The author, Anthony Burgess, did not appear to intend subtlety in his choices, as evidenced by the explicit nature of certain elements. For instance, the name "Lanchap" was a euphemism for masturbation, and the town Kuala Kangsar was renamed Kuala Hantu, with references to a certain Iblis and local gossip that remain relevant today. The book's focus on an infamous boys' college was another unsubtle inclusion.
The theme of alcoholism was prominent, with the title "Time for a Tiger" serving as an obvious indicator, given that "Tiger" was a brand of cheap beer. Despite the high cost and taxation of alcohol in Malaysia, Tiger beer remained moderately expensive, which helped explain the financial struggles of the characters. The mention of moonshine throughout the book further underscored this theme. It was suspected that the character Nabby Adams was a Malay equivalent of the stylistic "Anak Adam," a generic name used when one does not know or chooses not to use a person's actual name. This was particularly significant given the hedonistic Malay Muslim background of the character, as selling alcohol to Muslims can lead to persecution in Malaysia. Despite the passage of time since the 1940s and 1950s, the issue of alcoholism and its related challenges remain persistent and real.
However, the most compelling aspect of the novel was its characters. Given that Burgess had personally experienced the era, the narrative could be classified as historical fiction, albeit with a modern writing style. Even the character of Crabbe was a satirical representation of Burgess himself, with other characters likely bearing similar resemblance. The story served as a vivid snapshot of history, bringing to life the vibrant people of an era when the British Empire was in decline. These characters, much like us today, grappled with their own issues and flaws. They exhibited ignorance, lust, strong emotions, and regret, often feeling guilt, pride, illness, depravity, or perversion. This authenticity was a breath of fresh air compared to the repetitive, formulaic historical fiction about Malaya that tends to focus more on environment and plot than character development. The novel progressed at a deliberate pace, with the plot centered around the characters and their lives. It was a time when we could appreciate the conveniences of modern life, such as smooth roads and refrigerators, and when a small amount of money could go a long way. It was an era that my grandparents lived through, and one that has since been largely forgotten.
Amidst my reading, I find myself captivated by Burgess's prose, particularly his narration of journeys through forests, laden with fear, during the era of communist insurgency. His descriptions of music are equally compelling, as evidenced by his vivid portrayal: 'It began: strings ascending from A to a sustained F, passing through E to E flat, as the woodwinds entered with their bittersweet harmonies. Wagner's prolonged crescendo.' I often become entranced by his storytelling and his adeptness at voicing characters, a skill I have long admired but struggled to emulate. The dialogues are consistently engaging and humorous, deserving of a proper adaptation, ideally in audiobook format. If the copyright holder were to consider it, hearing these works brought to life would be a remarkable experience. However, I do not foresee this happening in the near future. Acquiring a copy of this book proved challenging due to its ban, and regrettably, there is no e-book version available. This is lamentable, as Burgess, in his unique way, encapsulates the essence of Malaya better than many contemporary authors attempting to chronicle its waning days.</s>
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<s> If You Want a Long Life, Just Move to This Town
March 16, 2018
It's so cold in the Norwegian town of Longyearbyen in the Svalbard archipelago that bodies don't decompose in the cemetery, and burials there have been banned since the 1950s. The saying goes that it's illegal to die there.</s>
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] |
<s> Crazed Hermit (5e Background)
From D&D Wiki
Contents
You either grew up isolated in nature or chose to leave civilization to be alone. Either way, your years apart from other sentient beings have left you distinctly off-balance. But one man's 'crazy' is another man's 'uncharacteristically in tune with all things primordial'. After so much time tending to your own needs, following your own daily rituals, living through the earth and landscape, and speaking to an inanimate object that has become your surrogate for all social needs, you find yourself navigating the civilized world with great difficulty. Why did you leave civilization? What is your attitude toward populated places, settlements, and other people in general? Are you able to adapt to being back amongst others of your kind, or have you grown so accustomed to your loneliness that a return to the norm is almost unthinkable?
Skill Proficiencies: Nature, Survival
Tool Proficiencies: Herbalism kit
Languages: One of your choice
Equipment: Any small useless object (often given a name), stitched fur garments, a small knife, a journal, a quill, a jar of ink, a belt pouch with 5gp
Your time in the wilderness has left you with an altered perspective that most people cannot appreciate. You have difficulty conversing about the mundane, and people often find you incomprehensible. As such, you often find yourself at odds with grounded folk, who have no time to waste on your ramblings, just as you have no patience for their limited perspectives. However, you find yourself able to connect easily with people of the mystical and cryptic variety—prophets, enlightened priests, fellow hermits, wise ancient creatures and spirits, crazed homeless fellows dancing naked in the streets—and as such are able to befriend such characters and exchange information with them with relative ease. You can use Wisdom rather than Charisma when making Persuasion checks against magic users and you have advantage on Insight checks against non-humanoid characters.</s>
|
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<s> //
// MyWordsUITableViewCell.h
// SmilyFace
//
// Created by Homam Hosseini on 4/28/12.
// Copyright (c) 2012 __MyCompanyName__. All rights reserved.
//
#import <UIKit/UIKit.h>
#import "BabelbayLevel.h"
@protocol MyWordsUITableViewCellProtocol <NSObject>
-(void)myWordsUITableViewCellPlayWordAudio:(BabelbayWord *)word;
-(void)myWordsUITableViewCellRemoveWord:(BabelbayWord *)word;
@end
@interface MyWordsUITableViewCell : UITableViewCell
@property (nonatomic, weak) IBOutlet UILabel *targetLabel;
@property (nonatomic, weak) IBOutlet UILabel *nativeLabel;
@property (nonatomic, weak) IBOutlet UIButton *trashButon;
@property (nonatomic, weak) BabelbayWord *word;
-(IBAction)speakerTapped:(id)sender;
@property (nonatomic, weak) id <MyWordsUITableViewCellProtocol> delegate;
// testing delete button animation
-(void)animateDeleteButton;
@end
</s>
|
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<s> Home›Empire Coastal›What Happened to Streetcars Shoes: A Journey Through History and Discovering Empire Coastal's Stylish Footwear
What Happened to Streetcars Shoes: A Journey Through History and Discovering Empire Coastal's Stylish Footwear
Posted by Abigail Torres on July 28, 2023
Introduction
Streetcars shoes, once a popular brand synonymous with comfort and durability, seem to have disappeared from the footwear market. Many loyal fans of Streetcars shoes are left wondering what happened to the beloved brand. In this comprehensive article, we will take a nostalgic trip through the history of Streetcars shoes, exploring their rise to fame and the factors that contributed to their decline. Additionally, we'll introduce you to Empire Coastal's exceptional collection of stylish and comfortable shoes available on their Shopify store, providing an excellent alternative for those seeking quality footwear with a touch of nostalgia.
1. The Rise of Streetcars Shoes
Streetcars shoes, renowned for their comfort and practicality, gained popularity in the late 20th century. The brand was known for its casual yet versatile designs, making them suitable for everyday wear. Streetcars shoes were particularly favored by individuals seeking supportive and cushioned footwear that could withstand the demands of an active lifestyle.
2. The Appeal of Streetcars Shoes
a) Comfort and Support: Streetcars shoes boasted well-cushioned insoles and supportive designs, making them a top choice for individuals who needed all-day comfort, especially those with foot conditions or who spent long hours on their feet.
b) Durability and Quality: The brand's reputation for high-quality materials and craftsmanship ensured that Streetcars shoes could endure various weather conditions and extended wear, making them a reliable investment.
c) Versatile and Stylish: Streetcars shoes struck the perfect balance between comfort and style, with designs that seamlessly transitioned from casual outings to more laid-back office environments.
3. The Decline of Streetcars Shoes
While Streetcars shoes once enjoyed significant popularity, several factors contributed to their decline:
a) Changes in Consumer Preferences: As fashion trends evolved, consumer preferences shifted towards more contemporary and stylish footwear options. The rise of athleisure and sneaker culture led many consumers to explore alternative brands and styles.
b) Intense Competition: The footwear market became increasingly competitive, with numerous brands vying for consumer attention. Streetcars shoes faced challenges in standing out among the vast array of options available.
c) Lack of Brand Innovation: Some argue that Streetcars shoes may not have kept up with evolving consumer demands and failed to introduce innovative features or modern designs that could appeal to a broader audience.
4. Introducing Empire Coastal - A New Era of Comfort and Style
While Streetcars shoes may no longer be as prevalent as they once were, there is a silver lining for footwear enthusiasts seeking comfort and style. Empire Coastal, a rising star in the footwear industry, offers a stunning collection of shoes that echo the essence of comfort and quality that made Streetcars shoes so beloved.
c) Convenient Online Shopping: Explore Empire Coastal's extensive collection on their Shopify store, where you can easily browse, select, and have your dream shoes delivered right to your doorstep.
While the story of Streetcars shoes might have taken a different turn, the spirit of comfort and style lives on in Empire Coastal's remarkable collection. As you embark on your journey for the perfect pair of shoes, consider the legacy of Streetcars shoes and explore the contemporary and comfortable options offered by Empire Coastal.
So, step into the world of comfort and style with Empire Coastal shoes by visiting their Shopify store. Embrace the new era of footwear that echoes the timeless essence of Streetcars shoes while celebrating modern trends and comfort. Happy shopping and enjoy your new stylish footwear!
6. Empire Coastal's Commitment to Sustainability
In addition to providing stylish and comfortable shoes, Empire Coastal is dedicated to sustainability and ethical practices. The brand understands the importance of caring for the environment and takes steps to minimize its environmental impact. By using eco-friendly materials and sustainable production processes, Empire Coastal ensures that every step taken in the creation of their footwear aligns with their commitment to a greener future.
a) Eco-Friendly Materials: Empire Coastal sources materials that are kinder to the environment, such as recycled fabrics, sustainable leathers, and water-based adhesives. These choices not only reduce waste but also support the brand's mission to be environmentally responsible.
b) Social Responsibility: Empire Coastal partners with manufacturers and suppliers who adhere to fair labor practices and provide safe working conditions. This ensures that every pair of shoes you purchase from Empire Coastal is ethically produced.
c) Reducing Carbon Footprint: Empire Coastal takes initiatives to reduce its carbon footprint by optimizing supply chains and transportation methods. By striving for energy efficiency, the brand aims to make a positive impact on the environment.
7. Empire Coastal's Versatile Collection
Whether you're seeking comfortable sneakers for an active lifestyle, elegant sandals for summer, or classic boots for colder seasons, Empire Coastal's collection has something for everyone. Their shoes are designed to complement various outfits and occasions, making them an excellent addition to any wardrobe. From casual outings to special events, Empire Coastal has the perfect shoe to complete your look without compromising on comfort.
8. Customer Testimonials
Empire Coastal takes pride in their satisfied customers, and their testimonials are a testament to the brand's commitment to excellence:
- Emma S. - ⭐⭐⭐⭐⭐ "I can't express how much I love my Empire Coastal sneakers! They are incredibly comfortable, and the design is so trendy. I wear them to work and on weekends, and they never disappoint. I'm already planning my next purchase!"
- Alex D. - ⭐⭐⭐⭐⭐ "As a nurse, finding comfortable shoes is crucial for me. Empire Coastal's nursing shoes have been a lifesaver during my long shifts. The arch support and cushioning make them a dream to wear, and they look fantastic too!"
9. Experience the Empire Coastal Difference
Ready to step into a world of comfort, style, and sustainability? Explore Empire Coastal's extraordinary collection of shoes on their Shopify store and discover the perfect pair that resonates with your unique taste and preferences.
With Empire Coastal, you not only get a fantastic pair of shoes but also contribute to a brand that prioritizes customer satisfaction, sustainability, and ethical practices.
Though the story of Streetcars shoes may evoke nostalgia, Empire Coastal brings a new chapter to footwear history with its dedication to style, comfort, and sustainability. As you embark on your search for the perfect pair of shoes, Empire Coastal offers a refreshing alternative that encapsulates the essence of beloved brands from the past while embracing modern trends and eco-conscious practices.
So, take the leap into the world of Empire Coastal shoes by visiting their Shopify store. Elevate your style, experience unmatched comfort, and be part of a brand that cares for the planet and its customers. Happy shopping and embrace a future where fashion meets sustainability with Empire Coastal!
👞🌊 Step into Fashion and Comfort with Empire Coastal Shoes! 👞🌊
Looking for the perfect pair of shoes that will elevate your style and keep your feet happy all day long? Look no further than Empire Coastal! Discover an exquisite collection of shoes designed to cater to your unique taste, while providing the comfort and support you need.
🔥 Trendy and Chic Designs: Empire Coastal stays ahead of the fashion game, offering a curated selection of shoes that will make a statement with any outfit.
🌊 Sustainable Footwear: At Empire Coastal, we care for the environment. Our commitment to sustainability means you can shop with a conscience.
🛍️ Shop with Ease on Shopify: Head over to Empire Coastal's Shopify store and explore their stunning collection with just a few clicks. It's quick, secure, and hassle-free!
🌊 Dive into the world of Empire Coastal and experience the fusion of style, comfort, and sustainability at Step into fashion-forward footwear that cares for you and the planet! 🌊
👞🌊 Testimonials from Delighted Customers of Empire Coastal 👞🌊
1. Rachel P. - ⭐⭐⭐⭐⭐ "I recently purchased a pair of sandals from Empire Coastal, and I'm in love! The cushioned insoles make them so comfortable to wear, even during long walks. The design is chic and versatile, perfect for both casual and dressy occasions. I'm impressed with the quality and will definitely be shopping with Empire Coastal again!"
2. Mark L. - ⭐⭐⭐⭐⭐ "Empire Coastal's sneakers are a game-changer for my daily workouts. The arch support and cushioning make them incredibly comfortable, and I love the modern design. They offer excellent traction, which is perfect for my active lifestyle. I highly recommend Empire Coastal's shoes for anyone seeking style and comfort!"
3. Sarah H. - ⭐⭐⭐⭐⭐ "As a nurse, finding comfortable shoes is essential for me. I recently bought a pair of nursing shoes from Empire Coastal, and I couldn't be happier. The support and cushioning they provide have made a significant difference during my long shifts. They are also easy to clean, which is a huge plus in a hospital environment."
4. Alex M. - ⭐⭐⭐⭐⭐ "I've been searching for comfortable and stylish boots for the winter, and Empire Coastal delivered! Their boots are not only warm and cozy but also look fantastic. I get compliments every time I wear them. The quality is top-notch, and I'm impressed with the attention to detail. Empire Coastal has earned a loyal customer!"
5. Emily T. - ⭐⭐⭐⭐⭐ "I am beyond pleased with my recent purchase from Empire Coastal. The sandals I ordered are not only beautiful but also incredibly comfortable. I've been wearing them to work and for casual outings, and they've quickly become my go-to shoes. The entire shopping experience was seamless, and I can't wait to shop here again!"
6. Jason R. - ⭐⭐⭐⭐⭐ "I'm a big advocate for sustainability, so I was thrilled to find a brand like Empire Coastal that offers eco-friendly shoes. The sneakers I purchased are not only stylish but also made from recycled materials. Kudos to Empire Coastal for prioritizing sustainability while delivering fantastic footwear!"
7. Lily G. - ⭐⭐⭐⭐⭐ "I had a fantastic experience shopping with Empire Coastal. Their customer service is excellent, and the shoes I bought exceeded my expectations. I got the perfect pair of flats for both work and casual outings. The comfort level is unmatched, and I'm excited to explore more styles from Empire Coastal!"
🌊👉🏽 Join the Satisfied Customers of Empire Coastal Today! Experience the ultimate fusion of style, comfort, and sustainability with their exceptional collection of shoes on their Shopify store. 👈🏽🌊
8. David S. - ⭐⭐⭐⭐⭐ "I was in search of high-quality dress shoes for an upcoming event, and Empire Coastal did not disappoint! Their selection of formal footwear is impressive, and I found the perfect pair that matched my suit perfectly. The shoes are incredibly comfortable, and I received numerous compliments throughout the evening. Thank you, Empire Coastal, for helping me look and feel my best!"
9. Melissa B. - ⭐⭐⭐⭐⭐ "I recently ordered a pair of Empire Coastal's ankle boots, and I'm in awe of their craftsmanship. The attention to detail is evident, and the comfort level is unmatched. These boots are so versatile, and I've been wearing them with dresses, jeans, and everything in between. I couldn't be happier with my purchase!"
10. Michael C. - ⭐⭐⭐⭐⭐ "Empire Coastal's commitment to sustainability is what drew me to their brand, and I'm delighted with my purchase. The sneakers I bought are not only stylish but also made from recycled materials, which aligns with my values as an environmentally conscious shopper. These shoes are incredibly comfortable and durable, making them a fantastic addition to my wardrobe."
11. Lisa D. - ⭐⭐⭐⭐⭐ "Finding comfortable yet stylish sandals for my beach vacation was a breeze with Empire Coastal. Their collection offers a variety of choices, and I ended up with a pair that not only looked great but also felt amazing. I could walk for hours without any discomfort. I'm grateful for Empire Coastal's exceptional designs!"
12. Brian M. - ⭐⭐⭐⭐⭐ "As a frequent traveler, I needed shoes that could withstand long journeys while keeping my feet at ease. Empire Coastal's travel-friendly shoes were the answer. The slip-on design makes them easy to wear at airport security, and the cushioning offers excellent support during sightseeing adventures. I highly recommend them for any fellow travelers out there!"
13. Jessica R. - ⭐⭐⭐⭐⭐ "Empire Coastal truly offers something for everyone. I ordered a pair of heels for a special occasion, and they were perfect. Not only were they comfortable to wear all night, but they also looked elegant and well-crafted. I felt confident and stylish in my Empire Coastal heels!"
14. Mark A. - ⭐⭐⭐⭐⭐ "Empire Coastal's commitment to customer satisfaction is unmatched. I had some questions before making a purchase, and their customer support team was quick to respond and very helpful. I'm impressed with their professionalism and the fantastic shoes I received. Empire Coastal has earned a loyal customer!"
🌊👉🏽 Experience the Empire Coastal Difference Today! Discover the perfect blend of style, comfort, and sustainability with their exceptional collection of shoes on their Shopify store. Join the ranks of satisfied customers and step into a world of fashionable and comfortable footwear. 👈🏽🌊</s>
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<s> Thailand cave rescue: soccer team found alive</s>
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<s> <!DOCTYPE html>
<html>
<head>
<style>
body{
background-color: #F3F3F3;
font-family: 'Times New Roman', Times, serif;
font-size:18px;
text-align: center;
}
.heading{
font-size: 32px;
text-align: center;
}
.steps{
text-align: left;
margin: 20px 20px;
}
.steps1{
text-align: left;
margin: 20px 20px;
font-size: 30px;
}
.button {
background-color: #4CAF50; /* Green */
border: none;
color: white;
padding: 15px 32px;
text-align: center;
text-decoration: none;
display: inline-block;
font-size: 16px;
}
</style>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>
Sales-Report
</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" media="screen" href="main.css" />
<script src="main.js"></script>
</head>
<body>
<u><b><div class='heading'>Sales_Report</div></b></u>
<div class="steps"><div class='steps1'><b>Instructions:</b></div>
<ul>1. Download Payment file to be used from Havanao</ul>
<ul>2. Save the document in Folder Downloads/Files/</ul>
<ul>3. Rename the file to payments.csv</ul>
<br><br>
<ul>***Click start, type: <b style="background-color:lightgray;padding: 10px 10px">cmd</b></ul>
</div>
<div class="steps"><div class='steps1'><u><b>Follow these steps:</b></u></div>
Type:
<div style="background-color:lightgray;padding: 10px 10px;width:20%"> cd C: Python27</div><br>
<div style="background-color:lightgray;padding: 10px 10px;width:20%">python C: FN index.py</div>
<br><br>
For partners File:
<div style="background-color:lightgray;padding: 10px 10px;width:20%">python C: FN partners.py</div><br><br>
*** Wait while creating file and loading data....
<ul>After 3 minutes, Check the new sales file in folder Desktop Sales_Files</ul>
</body>
</html>
</s>
|
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<s> In a contentious exchange, Fox News host Sean Hannity engaged in a heated argument with Palestinian guest Yousef Munayyer. Throughout the segment, Hannity persistently inquired whether Munayyer considered Hamas a terrorist organization, to which Munayyer offered no direct response. Munayyer initially rebuked Hannity, remarking that it was 'telling' that he invited Palestinian voices only to'shout them down.' As the exchange escalated, Hannity repeatedly urged Munayyer to provide a straightforward answer, exclaiming, 'Can you hear me?!' and 'What part of this are you struggling to comprehend?!' As the segment concluded, Munayyer attempted to speak, but Hannity dismissed him, stating, 'You had your opportunity. You didn't say Hamas is a terrorist organization. Farewell.'</s>
|
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1420,
1967,
28170,
1681,
30577,
8992,
59342,
1649,
1843,
55525,
1450,
1493,
59374,
5138,
11834,
1384,
8894,
1421,
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15239,
72,
1900,
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1377,
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3512,
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31828,
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1520,
4450,
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58128,
1408,
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72,
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2686,
2840,
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44801,
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5295,
63,
59337,
16830,
1367,
3895,
1991,
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3256,
59342,
3778,
63,
4013,
3385,
8165,
59342,
1384,
10654,
10067,
8778,
1991,
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2083,
1348,
10782,
4945,
13145,
3516,
3343,
72,
1900,
3343,
8829,
1385,
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21822,
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4073,
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37130,
4602,
1432,
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1991,
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1379,
11192,
6915,
15302,
1384,
6700,
3019,
35866,
5507,
59342,
4022,
1525,
2715,
1597,
20177,
1457,
59342,
2003,
1828,
1843,
9977,
7867,
59342,
3427,
1580,
1843,
21619,
1597,
72,
3348,
9169,
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8801,
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9411,
52755,
5,
5,
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4791,
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3235,
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6212,
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4073,
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10654,
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31921,
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10526,
3953,
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3895,
28209,
1367,
2319,
4882,
2049,
7873,
1384,
2608,
5667,
9125,
1520,
2009,
11755,
72,
5,
5,
2219,
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3986,
3527,
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4022,
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1421,
6290,
1384,
11725,
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3392,
1377,
6212,
19304,
8894,
72,
42757,
5459,
1510,
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3953,
11243,
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1536,
11519,
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3897,
14093,
6305,
3020,
13965,
72,
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1727,
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57225,
4526,
1508,
8623,
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3778,
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5775,
1385,
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1982,
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13215,
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3778,
3923,
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2902,
2030,
72,
5,
5,
53658,
17784,
2253,
2802,
1432,
5162,
13259,
1385,
18302,
10388,
5,
5,
3457,
8897,
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10038,
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22866,
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1426,
59365,
7535,
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1432,
1939,
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3778,
63,
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3371,
2686,
5867,
72,
5,
5,
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1462,
1367,
1635,
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3392,
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6739,
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8736,
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5032,
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1466,
1510,
9826,
3362,
35246,
6203,
14909,
11715,
72,
6555,
2686,
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1823,
1432,
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27330,
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22802,
27330,
2760,
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1384,
26015,
3235,
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3836,
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12046,
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5,
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1967,
28170,
1681,
30577,
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59342,
1450,
1865,
2566,
12560,
1379,
37828,
1421,
7660,
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3392,
1421,
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40196,
59342,
12827,
1348,
4756,
5324,
1379,
1358,
14725,
1379,
55904,
54193,
5948,
59342,
21733,
1959,
1421,
2617,
27446,
1384,
11627,
5324,
1377,
1358,
2956,
1379,
2760,
6271,
1421,
35758,
12046,
72,
6555,
28149,
4989,
1649,
6453,
1385,
1358,
20732,
1379,
1358,
4012,
55904,
45094,
7491,
1384,
1358,
24155,
1379,
55904,
15807,
53672,
59342,
6271,
1457,
37591,
1358,
4786,
3923,
1379,
55904,
3996,
2128,
2589,
3778,
16478,
72,
3308,
4686,
13047,
1467,
1358,
10317,
1379,
48702,
15807,
10872,
1421,
15807,
10388,
16471,
59342,
3429,
1385,
4134,
3235,
1385,
4185,
11890,
3392,
1377,
26424,
6258,
8894,
72,
5,
5,
15576,
72,
11367,
4270,
1609,
1451,
2420,
41773,
1367,
1432,
2100,
10676,
11512,
1450,
1348,
27375,
1379,
31634,
8134,
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1377,
30864,
13345,
1525,
1358,
3063,
1379,
16491,
72,
3308,
2110,
58469,
1385,
5990,
2100,
23158,
1379,
47097,
1377,
11138,
13345,
1525,
1358,
3063,
1379,
17137,
59342,
8040,
1520,
1348,
54226,
54384,
72,
18418,
1536,
59342,
2271,
1523,
12363,
2100,
23158,
1379,
15371,
1525,
24727,
3063,
1384,
16910,
8108,
1385,
1358,
3063,
1379,
16491,
1385,
4545,
2100,
44662,
1377,
9443,
1389,
1388,
8163,
1384,
1527,
42911,
1501,
2326,
72,
19447,
59342,
4450,
72,
1609,
1451,
2420,
13047,
1467,
1458,
22316,
15725,
1510,
1358,
12903,
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4234,
1379,
15371,
1384,
1751,
11473,
1358,
4310,
1379,
58607,
16471,
16654,
1421,
2758,
1979,
11368,
1384,
1419,
1680,
1583,
36897,
6612,
1421,
15807,
10388,
16471,
72,
25092,
59342,
2271,
1384,
2100,
44509,
59342,
4450,
72,
16162,
7637,
59326,
10087,
42114,
59342,
1580,
10885,
1457,
1358,
17381,
1379,
3683,
18358,
1377,
1544,
1436,
1465,
1410,
18337,
1573,
2025,
1520,
4413,
19943,
20923,
2533,
4861,
59342,
1696,
1751,
1520,
2608,
1457,
1971,
59336,
1604,
2459,
13439,
1384,
3829,
2956,
72,
5,
5,
2219,
3612,
1510,
1697,
4539,
7445,
29084,
59342,
1508,
1544,
1436,
1465,
59342,
32044,
25432,
40574,
1649,
2947,
14231,
1421,
27189,
29084,
4364,
72,
15360,
1536,
59342,
1348,
13940,
2189,
1379,
1544,
1436,
1465,
19669,
4027,
1385,
6267,
1536,
44355,
3019,
1358,
5051,
5983,
1521,
27222,
59342,
5775,
1385,
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6351,
4172,
8947,
1358,
13035,
3612,
1379,
1939,
2243,
72,
34694,
59342,
10831,
1502,
20373,
13469,
1348,
1753,
10782,
5324,
1379,
1358,
6243,
1457,
13756,
1358,
10246,
32402,
1379,
1358,
25432,
11145,
59342,
1348,
2070,
32070,
4177,
24317,
1457,
18981,
1358,
4364,
1379,
4649,
27250,
59342,
1365,
10682,
59342,
1384,
28452,
72,
5,
5,
2153,
7445,
36757,
59342,
2754,
11444,
59342,
1358,
2361,
1379,
3683,
18358,
1410,
34558,
16830,
1367,
1384,
53266,
59342,
11311,
1358,
32402,
1379,
41594,
10236,
11762,
1377,
1348,
4917,
1379,
1358,
4331,
5851,
3263,
1467,
1358,
26571,
50365,
72,
2522,
1544,
1436,
1465,
59342,
1766,
19746,
1410,
40749,
1386,
6138,
1766,
5537,
1385,
4356,
19126,
2459,
1766,
1933,
30366,
3583,
1384,
1385,
6351,
1412,
1520,
7855,
1939,
2243,
1379,
3612,
72,
5,
5,
2219,
17381,
1379,
3683,
18358,
1410,
27185,
1520,
1348,
50809,
1379,
4164,
59342,
1450,
21552,
2560,
1348,
17234,
4785,
25681,
59342,
7583,
1358,
16539,
6243,
1520,
1697,
1476,
1384,
13386,
4602,
3683,
18358,
1502,
2911,
1877,
9234,
72,
2522,
1358,
4109,
1939,
12560,
59342,
4450,
72,
27128,
14603,
59342,
5805,
1367,
1510,
1358,
8253,
1420,
59530,
59365,
5607,
1460,
29113,
6768,
13683,
1377,
3594,
2036,
5203,
59342,
1649,
1843,
1510,
1358,
51583,
1379,
1536,
2686,
72,
2522,
1358,
2652,
15239,
59342,
1859,
1758,
1649,
1843,
7904,
1377,
12644,
1450,
4450,
72,
16162,
7637,
59326,
10087,
42114,
59342,
25076,
1859,
15312,
6544,
1384,
2336,
1348,
44509,
1510,
8253,
1420,
59530,
59365,
3063,
63,
3170,
4183,
13683,
72,
11255,
2686,
59342,
13113,
3021,
59320,
59349,
59344,
59344,
59344,
59342,
1649,
1843,
19669,
19403,
1520,
12482,
27612,
1525,
1358,
33923,
1384,
13418,
6768,
39344,
1379,
1358,
3542,
6496,
4012,
7690,
1379,
13418,
1384,
33923,
72,
5,
5,
2153,
3862,
3412,
59342,
1358,
8253,
1420,
59530,
59365,
2840,
59342,
1377,
23092,
1450,
1766,
56307,
59342,
8012,
1457,
19448,
3829,
63,
1787,
1363,
1367,
1544,
1436,
1465,
1348,
1981,
63,
5198,
28849,
8559,
2459,
1766,
41415,
6303,
1571,
4909,
1392,
1606,
1356,
1358,
17381,
1379,
3683,
18358,
72,
7046,
1808,
3556,
59342,
59320,
59381,
59344,
1385,
59320,
59384,
59344,
59458,
1379,
2009,
1544,
1436,
1465,
59342,
16333,
1536,
8559,
2131,
59320,
59370,
1384,
59320,
59384,
4173,
1379,
3612,
59342,
49157,
3683,
18358,
30604,
1434,
59342,
17886,
10246,
40574,
1520,
2042,
59320,
59362,
59344,
59344,
3424,
1379,
3612,
72,
1900,
1410,
4909,
7867,
1910,
1544,
1436,
1465,
16333,
1348,
12016,
1421,
1533,
63,
4013,
8559,
1384,
10481,
3642,
1385,
3809,
1432,
58447,
10236,
11762,
1457,
18981,
1358,
18544,
1379,
13563,
27250,
72,
5,
5,
2219,
14231,
1379,
1766,
1758,
12838,
8947,
48616,
4364,
59342,
1450,
3543,
5632,
1377,
1358,
3441,
28193,
2864,
72,
30368,
1358,
27306,
1384,
18139,
6243,
1457,
53515,
1358,
17381,
1379,
5582,
1473,
2178,
3683,
18358,
2286,
2607,
1385,
1358,
2956,
1379,
4246,
1457,
6475,
3683,
18358,
1377,
1544,
1436,
1465,
1510,
16822,
3265,
3829,
7172,
3265,
5645,
1458,
3612,
59342,
1384,
12006,
2111,
1385,
6352,
1508,
21832,
1358,
20655,
1379,
5582,
1473,
2178,
3683,
18358,
1377,
9811,
72,
5,
5,
2219,
2686,
2840,
59361,
59328,
3256,
7446,
2947,
26655,
1377,
1358,
3992,
1379,
7855,
59320,
59387,
59344,
59344,
7192,
3019,
1358,
26571,
50365,
59342,
58968,
1544,
1436,
1465,
26223,
1385,
1348,
3250,
63,
5198,
36531,
8559,
1450,
2608,
16333,
1348,
1981,
63,
5198,
36531,
8559,
72,
3348,
7192,
1502,
10480,
1385,
47170,
1384,
14551,
6609,
72,
11658,
59342,
43240,
20121,
59651,
2895,
8212,
1377,
5183,
3992,
2750,
46395,
1358,
6229,
5828,
59651,
59341,
1486,
5488,
1377,
3505,
7192,
72,
4450,
72,
14603,
2020,
2079,
1457,
2009,
3450,
1502,
2164,
2081,
59342,
1467,
1828,
17173,
1450,
10352,
16668,
4413,
1457,
16803,
3661,
1377,
2810,
1384,
5115,
1385,
1441,
2547,
1390,
2323,
1581,
45458,
72,
5,
5,
2716,
1422,
10764,
59342,
22607,
19448,
1544,
1436,
1465,
1348,
1981,
63,
5198,
36531,
8559,
2385,
63,
1787,
50146,
1510,
59320,
59384,
1385,
59320,
59373,
4173,
1649,
1843,
13206,
1385,
1392,
1606,
1356,
1358,
17381,
1379,
3683,
18358,
72,
3519,
59342,
4965,
6930,
1525,
1348,
8253,
1420,
59530,
59365,
3063,
30325,
3376,
1458,
8322,
3895,
72,
3015,
13346,
4122,
1358,
10533,
7047,
1421,
56169,
3683,
18358,
17381,
2128,
19795,
27623,
59342,
10831,
4288,
27306,
42829,
11311,
43339,
15478,
1379,
1981,
63,
1384,
3250,
63,
5198,
36531,
33319,
1865,
3151,
59320,
59345,
59344,
63,
13489,
18122,
59342,
1883,
8637,
1510,
59320,
59370,
4173,
1379,
3612,
72,
1900,
34408,
1523,
51483,
1358,
1772,
2050,
2146,
63,
16207,
59361,
27306,
2158,
72,
5,
5,
2153,
1766,
2367,
59342,
1544,
1436,
1465,
1727,
7073,
2763,
1556,
1951,
3996,
1379,
59320,
59345,
59344,
72,
4502,
2236,
4430,
1348,
3250,
63,
5198,
36531,
8559,
59342,
18067,
1348,
6801,
3795,
5157,
8897,
1379,
59320,
59344,
72,
59367,
13208,
59342,
1525,
59320,
59370,
1385,
59320,
59345,
59370,
4173,
1379,
3612,
72,
14891,
2236,
1523,
16333,
1348,
1981,
63,
5198,
36531,
8559,
59342,
41334,
1348,
59320,
59345,
13208,
6801,
3795,
5157,
8897,
59342,
1865,
1358,
2461,
3714,
72,
1420,
4487,
2236,
45584,
1367,
1385,
1358,
1772,
2050,
2146,
63,
16207,
59320,
59345,
59361,
1426,
4118,
63,
59345,
59347,
27306,
34408,
59342,
32070,
43339,
59320,
59345,
59344,
63,
13489,
15478,
1379,
26821,
44328,
3235,
1385,
1981,
63,
5198,
36531,
4186,
59342,
6603,
1520,
1348,
1421,
1533,
63,
4013,
8559,
1450,
18638,
3235,
1426,
59344,
72,
59362,
59367,
13208,
6801,
3795,
5157,
8897,
59347,
3639,
1358,
1544,
1436,
1465,
9906,
59320,
59345,
59370,
4173,
1379,
3612,
72,
1507,
10421,
2236,
6603,
1358,
1772,
2050,
2146,
63,
16207,
59320,
59349,
59361,
1426,
4118,
63,
59349,
59347,
27306,
34408,
59342,
1697,
12047,
1381,
2327,
1358,
22970,
63,
59345,
5828,
1696,
1377,
12161,
2675,
72,
5,
5,
2219,
2840,
59361,
59328,
6930,
10835,
1457,
2596,
1544,
1436,
1465,
1727,
1753,
30048,
1385,
27306,
20246,
2459,
1358,
3829,
58461,
5685,
6042,
1426,
59370,
59586,
59381,
72,
59367,
4173,
59375,
22970,
63,
59345,
1743,
1358,
20655,
1379,
5582,
1473,
2178,
3683,
18358,
1523,
30624,
1981,
72,
55706,
59342,
1882,
1358,
4791,
6303,
1379,
1981,
63,
5198,
36531,
19448,
1523,
32425,
1385,
1358,
3714,
2131,
59320,
59381,
72,
59367,
1384,
59320,
59373,
4173,
1426,
4118,
63,
59349,
1743,
3683,
18358,
1523,
19669,
49157,
1520,
59320,
59345,
59362,
59586,
59345,
59370,
4173,
59342,
1384,
1358,
12486,
1379,
5582,
1473,
2178,
3683,
18358,
1523,
4909,
6615,
72,
4450,
72,
10087,
42114,
27444,
2009,
2624,
1467,
5799,
1457,
1772,
32323,
21798,
1377,
1358,
26571,
50365,
2459,
1358,
3829,
41415,
6303,
1571,
11545,
1446,
1358,
19027,
1379,
3683,
18358,
1457,
10481,
3661,
72,
59361,
2972,
1410,
1919,
11001,
4702,
3882,
1536,
19448,
4763,
1952,
1573,
1441,
5076,
1377,
3282,
63,
8780,
7811,
59342,
12006,
9357,
29084,
21826,
1348,
1753,
43766,
1384,
14093,
3895,
72,
5,
5,
2153,
1458,
9037,
1407,
34082,
3659,
59342,
1544,
1436,
1465,
1450,
6039,
45307,
6703,
31008,
49157,
3683,
18358,
7867,
1910,
2608,
1450,
3249,
72,
1900,
10413,
1410,
1573,
17263,
59342,
1467,
1348,
6296,
2489,
1379,
7611,
1410,
5834,
1421,
19676,
36370,
72,
1900,
8993,
59342,
1933,
4478,
1377,
1358,
59320,
59345,
59373,
59367,
59344,
59328,
59342,
15790,
1753,
43525,
2055,
1358,
15055,
1379,
1358,
54792,
5183,
1377,
59320,
59345,
59373,
59373,
59370,
72,
3013,
1524,
1347,
59342,
1348,
16228,
5908,
1377,
45307,
6703,
59342,
7920,
1385,
1441,
1358,
3835,
2131,
21552,
1384,
31385,
59342,
1467,
1476,
8497,
1348,
45924,
3470,
1377,
25372,
3854,
13386,
1384,
31385,
72,
2522,
5935,
59342,
1377,
3545,
59342,
1348,
2603,
4214,
7561,
1377,
7611,
31008,
1571,
2607,
1385,
25915,
16625,
3809,
1432,
31385,
3639,
4133,
3953,
1502,
23965,
72,
5,
5,
2153,
1358,
4631,
1379,
1544,
1436,
1465,
59342,
10087,
42114,
1384,
14603,
2415,
3097,
1367,
1348,
43926,
4383,
2131,
54792,
9719,
1384,
3953,
1379,
5823,
50881,
1788,
1426,
59374,
13210,
59347,
1377,
1358,
19084,
6703,
1379,
2009,
7934,
72,
3330,
1751,
5488,
1348,
2947,
21620,
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5,
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1379,
44027,
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1432,
1544,
14549,
2956,
72,
1420,
2940,
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1410,
1385,
5208,
3450,
1377,
5183,
3992,
1384,
3122,
1766,
3554,
63,
1384,
2288,
63,
5096,
14551,
3809,
72,
15606,
59342,
1828,
29998,
1385,
4522,
1796,
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27306,
20001,
36588,
4073,
23846,
59342,
1348,
9400,
1457,
59342,
2596,
13965,
1385,
39941,
1377,
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2286,
8121,
2947,
14645,
1951,
8968,
2760,
1384,
19746,
59342,
3041,
1358,
5178,
1752,
6167,
1988,
3809,
1379,
27306,
3450,
1377,
4017,
4691,
72,
5,
5,
15576,
72,
27128,
14603,
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1348,
28149,
10676,
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13047,
1467,
1348,
4098,
1638,
23721,
59342,
5607,
1460,
29113,
6768,
27759,
23721,
59342,
1384,
15725,
1510,
8253,
1420,
59530,
59365,
5607,
1460,
29113,
6768,
63,
5866,
2036,
5203,
1384,
1358,
6561,
1379,
26510,
8134,
59342,
8253,
1420,
59530,
59365,
3063,
63,
3170,
4183,
13683,
72,
5884,
10676,
11512,
42132,
1556,
1377,
1348,
11895,
1446,
1525,
1358,
3063,
1379,
17900,
72,
4407,
3680,
2202,
32394,
1384,
27706,
59342,
4450,
72,
14603,
59361,
2686,
15001,
1432,
1358,
5823,
1517,
5841,
31741,
1384,
25432,
33481,
1379,
27189,
29084,
1384,
25366,
59342,
1450,
1348,
2530,
18529,
1432,
5823,
1517,
25592,
10236,
11762,
1457,
13756,
1358,
27306,
10642,
1379,
3683,
18358,
1377,
27189,
1544,
1436,
1465,
72,
5884,
53065,
3382,
11443,
1358,
3295,
8832,
1379,
26510,
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26510,
8238,
10028,
1384,
9946,
5841,
31741,
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59370,
1384,
1358,
6768,
23721,
8862,
1377,
59320,
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59387,
72,
2063,
1649,
42248,
3159,
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4424,
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59320,
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59370,
1445,
3747,
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21655,
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1384,
53800,
31379,
72,
5,
5,
15576,
72,
16162,
7637,
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10087,
42114,
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1458,
22316,
15725,
1377,
1358,
6561,
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26510,
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1420,
59530,
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3063,
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1348,
1479,
14402,
1384,
12797,
1525,
41221,
38226,
4200,
3063,
1426,
59378,
9908,
1743,
1384,
1348,
21655,
1525,
8253,
1420,
59530,
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3063,
72,
18418,
1348,
53800,
45522,
1377,
4429,
1381,
2733,
1519,
9946,
5841,
31741,
1510,
1358,
3063,
1379,
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1544,
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59530,
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3063,
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72,
4450,
72,
10087,
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2686,
1377,
25432,
5823,
1517,
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31741,
1377,
7445,
1488,
10193,
2417,
1410,
28619,
2319,
32394,
1384,
27706,
72,
5884,
1758,
37158,
27189,
1544,
1436,
1465,
1384,
26967,
1467,
8968,
3530,
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26292,
5059,
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33481,
1450,
9570,
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15536,
1385,
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2319,
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48616,
4936,
1384,
3441,
25432,
2760,
72,
5,
5,
2153,
1348,
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4631,
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15725,
10389,
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8313,
1739,
63,
59394,
1674,
1349,
59342,
1377,
2100,
1758,
1496,
30143,
1479,
13799,
1385,
5129,
1821,
1358,
15387,
40445,
1379,
1358,
6875,
56639,
2620,
5015,
1432,
6558,
1627,
72,
11109,
1432,
59320,
59373,
5091,
59320,
59349,
59344,
59345,
59373,
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25189,
1358,
25741,
26368,
1592,
1379,
21425,
1377,
6875,
56639,
8589,
1385,
19622,
3378,
1432,
1358,
10038,
1379,
1358,
16453,
1872,
1703,
2467,
72,
16250,
1370,
2272,
3063,
1377,
8810,
59342,
2128,
1536,
9291,
1519,
16353,
59342,
23050,
1385,
17376,
1446,
1358,
5024,
1379,
2608,
1872,
9391,
2467,
2459,
1358,
6875,
56639,
72,
5,
5,
2219,
3717,
1772,
59094,
59361,
1751,
2068,
11313,
23538,
1641,
1457,
6332,
1856,
59322,
1385,
6475,
59342,
1467,
38952,
2514,
1520,
12489,
34695,
6132,
16282,
72,
59361,
59328,
27825,
1508,
1409,
59342,
1496,
59355,
13106,
1348,
23019,
2620,
1384,
1358,
21576,
1379,
1772,
2219,
3295,
23019,
59361,
72,
16316,
1766,
7462,
1385,
29517,
1394,
1807,
6081,
1856,
41730,
1508,
6396,
1447,
37896,
5517,
1532,
59342,
21425,
1502,
1348,
57088,
25741,
3729,
13206,
1520,
10055,
59342,
35719,
59342,
37070,
59342,
50014,
59328,
59342,
57673,
59342,
1384,
2635,
63,
31939,
12905,
72,
1646,
1609,
72,
59425,
72,
20236,
3493,
59361,
59328,
20987,
43909,
3512,
59342,
1421,
5935,
59342,
2478,
2533,
20987,
10885,
1859,
31914,
1453,
59341,
1481,
59342,
1358,
1705,
17433,
1482,
2003,
25172,
1385,
1577,
1636,
1951,
1859,
21425,
59342,
10577,
1358,
4528,
1385,
3892,
2731,
2664,
1412,
1951,
9347,
1379,
1358,
25584,
1384,
1776,
5868,
3077,
16059,
1384,
24462,
1377,
14663,
72,
5,
5,
2571,
1371,
1385,
35488,
1450,
1358,
6875,
56639,
2128,
1479,
13799,
5,
5,
2219,
6875,
56639,
59342,
54691,
13530,
1385,
1467,
1358,
2419,
59326,
2420,
59342,
1523,
1348,
2506,
63,
44843,
3485,
2547,
1473,
1600,
1377,
1697,
4746,
4789,
29725,
1384,
1875,
18738,
1727,
33312,
48184,
1520,
1358,
37953,
1360,
1384,
1766,
1977,
1547,
2012,
1359,
2459,
4178,
5231,
4401,
72,
1507,
37953,
1360,
59361,
9289,
1523,
1358,
3616,
1492,
34003,
1409,
1379,
4622,
59361,
59328,
17930,
4471,
59342,
5775,
1385,
1358,
48437,
4325,
1379,
17930,
8894,
1377,
9982,
19469,
1384,
11436,
72,
5,
5,
2219,
6875,
56639,
1410,
1348,
32779,
1457,
7870,
13957,
30115,
1849,
72,
6875,
56639,
21619,
1355,
27670,
59326,
21078,
59325,
5083,
1476,
1467,
1458,
3184,
2750,
46478,
59342,
1467,
2121,
18738,
1727,
3495,
14500,
1394,
1556,
59342,
5574,
8637,
1766,
30989,
20342,
72,
14790,
1358,
28686,
59342,
2302,
1727,
3265,
8007,
24378,
2202,
1385,
1901,
1714,
1766,
10038,
1508,
10492,
13899,
1385,
12377,
1432,
20211,
1379,
1358,
48295,
72,
5,
5,
2219,
6875,
56639,
59361,
59328,
2555,
4636,
38619,
1348,
4786,
8362,
59342,
1467,
1932,
1510,
9267,
2030,
1983,
59339,
20953,
49443,
1384,
25584,
4246,
72,
5279,
1778,
1495,
49546,
59361,
59328,
50235,
1457,
1476,
1523,
1496,
2445,
15771,
1379,
36249,
59354,
26424,
38597,
1536,
18752,
59342,
7247,
1348,
47368,
59358,
1980,
1385,
17376,
1446,
1358,
17376,
5909,
16070,
72,
35565,
59342,
7388,
1932,
22431,
1379,
21425,
59342,
5274,
1348,
3819,
72,
1479,
13799,
59342,
9329,
1385,
6801,
2810,
1384,
25741,
3992,
1379,
1358,
1377,
15270,
2065,
59342,
4445,
14931,
3080,
1377,
6875,
56639,
8589,
72,
35045,
1498,
1698,
59361,
4975,
2728,
1470,
59342,
1421,
5935,
59342,
1982,
11243,
1766,
4598,
10038,
59342,
1384,
2478,
7798,
5773,
1982,
1441,
20670,
1467,
1348,
12063,
59342,
1377,
41247,
11519,
72,
15725,
10389,
59321,
8313,
1739,
63,
59394,
1674,
1349,
59342,
1348,
24524,
1385,
1358,
6823,
23019,
50802,
2021,
6768,
16181,
5548,
59342,
3412,
12063,
23388,
4073,
7409,
1382,
59342,
4924,
59342,
1384,
16772,
59342,
16765,
1432,
6826,
12397,
5500,
1910,
18546,
51128,
72,
1646,
2100,
6875,
56639,
8589,
3256,
59342,
2271,
36748,
1980,
24389,
24426,
1358,
19878,
1384,
2144,
1358,
1377,
1547,
35814,
2065,
3385,
14483,
1385,
14663,
72,
5,
5,
15576,
72,
8313,
1739,
63,
59394,
1674,
1349,
59342,
1458,
10676,
59342,
1891,
1537,
1359,
25741,
4157,
1457,
3993,
21425,
1467,
1766,
25584,
3729,
1385,
26368,
1358,
6875,
56639,
59342,
16910,
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1986,
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1646,
59320,
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1421,
5623,
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34515,
7235,
72,
15360,
2009,
15864,
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1919,
11002,
14866,
1649,
4681,
1843,
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72,
5,
5,
6619,
1358,
2720,
3600,
1379,
1536,
8362,
1410,
1358,
2354,
1457,
2446,
1784,
3169,
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1959,
30607,
1385,
4031,
3854,
6134,
1410,
4909,
1753,
5322,
1910,
4757,
1733,
1421,
21804,
72,
1900,
1410,
2493,
11002,
3854,
3953,
1502,
10649,
2636,
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1379,
21804,
72,
6739,
21804,
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1441,
1772,
25845,
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11628,
3378,
1379,
3077,
29265,
59342,
2530,
11628,
4650,
5432,
7514,
3378,
1450,
29265,
1981,
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1385,
18452,
27647,
1385,
12016,
11002,
3854,
3953,
59342,
25365,
2121,
11002,
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3953,
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72,
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5,
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1900,
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2800,
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5626,
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1401,
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5,
5,
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4791,
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1523,
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25005,
63,
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2445,
1817,
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1421,
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29445,
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18871,
2237,
1385,
1358,
5813,
2506,
72,
1507,
2840,
59361,
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2303,
1988,
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42727,
16539,
3412,
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72,
5,
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4786,
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1508,
1772,
21416,
58941,
4388,
2342,
1379,
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1393,
1355,
2508,
1410,
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72,
16320,
1434,
41425,
59342,
1377,
12737,
1450,
11628,
23482,
1525,
1358,
7880,
4012,
23688,
26659,
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1384,
8931,
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19843,
59342,
1828,
13206,
1884,
9784,
11628,
20004,
1377,
1766,
7663,
8725,
72,
1900,
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9450,
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1358,
24488,
1379,
5623,
10405,
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20849,
63,
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11002,
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5980,
1951,
1358,
38341,
1379,
3679,
63,
5096,
22481,
72,
5541,
43833,
1546,
9481,
1944,
1377,
5324,
1358,
59008,
11002,
3854,
2489,
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1358,
1393,
1355,
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2243,
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11628,
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27623,
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1536,
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59342,
1358,
2288,
63,
59328,
3439,
5032,
1379,
7493,
1458,
20849,
63,
45555,
1998,
11002,
6771,
3751,
59342,
1508,
11002,
14866,
59342,
1982,
5950,
1441,
9687,
72,
1900,
1952,
9447,
1817,
34515,
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<s> In recent times, the Greenland ice sheet has diminished in size, primarily due to escalating ice melt and calving events, a process accelerated by the warming climate. The research of Dr. Shin Sugiyama and his team at Hokkaido University delves into the consequences of this glacial retreat, particularly in the vicinity of Qaanaaq, a small community in northwest Greenland. The village's 600 residents, who maintain a traditional lifestyle, are experiencing the direct impacts of climate change, such as a significant reduction in the duration of the sea ice season for their dog sledding activities.
Dr. Sugiyama's work centers around quantifying the rate of ice loss in Greenland and investigating the subsequent effects on the local marine environment. The outflow of glacier meltwater into the fjords drives a process known as upwelling, bringing deep, nutrient-rich ocean water to the surface and fostering marine life. However, the changes in the natural environment, including shifts in fish and marine mammal populations, can have profound implications for the local inhabitants who rely on these resources for their livelihood.
Dr. Sugiyama's research has primarily centered around the Bowdoin Glacier, situated at the head of a fjord approximately 30 kilometers northeast of Qaanaaq. In a 2015 study, Dr. Sugiyama and his team discovered that the Bowdoin Glacier had experienced a swift retreat in recent years. By scrutinizing satellite imagery of the glacier from 1987 to 2013, the researchers compared the position of the glacier's front closest to the ocean with its 1987 position. Their findings indicated that the glacier's size remained relatively stable between 1987 and 2008, with a notable exception: a 230-meter retreat between 1999 and 2001.
However, between July 2008 and June 2009, the glacier underwent a sudden and significant melt. Over the subsequent five years (July 2008 to September 2013), the glacier retreated at an average rate of 220 meters per year. Nevertheless, this rate was not consistent; it slowed in 2011 and accelerated again in 2012. Furthermore, the retreat was not uniform across the width of the glacier.
Ice masses, known as glaciers, originate from the gradual compaction and solidification of snow accumulated over decades, enabling them to slowly deform and descend valleywards due to gravity. Scientists discovered that the rate of ice discharge at the glacier's terminus, where it enters a fjord, surged by over 100% prior to phases of rapid thinning. Between 2008 and 2013, the western flank of the glacier receded by a substantial 2 kilometers, while the eastern margin retreated by less than 500 meters. This glacial recession aligns with regional atmospheric warming trends. Additionally, the team mapped the seafloor morphology in the fjord near the glacier's front, revealing its significant influence on the swift retreat and acceleration.
Dr. Sugiyama and his team subsequently analyzed 19 distinct glaciers in the same region. Between 2000 and 2014, these glaciers retreated at an average rate of 30 meters per year. This research, focused on Prudhoe Land in northwest Greenland, utilized satellite imagery captured between 1987 and 2014. All 19 glaciers exhibited retreat, with rates varying from 12 to 200 meters per year over the study period. Notably, five of these glaciers receded by more than a kilometer during this time.
After the turn of the millennium, the pace of ice loss from glaciers surged, escalating from an annual retreat of 3 metres in the late 1980s to a swift 40 metres per year by the early 2010s. Concurrently, scientists computed the velocity of glacial flow into the sea, noting that regions with more rapid acceleration of flow experienced commensurately faster ice loss. Notably, they attributed the glacial retreat to both the geometry of the fjord bed and atmospheric warming.
In the realm of marine life, glacial loss can significantly disrupt ocean currents and critical nutrient supplies, thereby impacting aquatic ecosystems. In a collaborative study, Dr. Sugiyama, in tandem with Dr. Guillaume Jouvet from ETH Zurich, Switzerland, employed a drone equipped with an onboard camera to observe the flow of ice near the calving front of the Bowdoin Glacier. The calving front, where the glacier meets the sea and sheds ice, was the focus of their investigation.
Over a 13-day period, they conducted two drone flights daily, following a consistent route over the glacier's calving front. By analyzing the images captured by the camera, they deduced the velocity of the ice at various locations. The average glacial flow was approximately 1.5 metres per day, but it notably surged to 2.6 metres per day over a 2-day period, particularly pronounced at the southeast side of the calving front.
Transient enhancements in glacial ice flow velocity can be attributed to several mechanisms, such as the introduction of basal meltwater reducing friction, or abrupt changes in forces following calving events. A comparable instance occurred at Store Glacier in western Greenland, following heavy rainfall and elevated melt rates. Conversely, the velocity increase at Bowdoin Glacier transpired during a warm spell and before substantial meltwater discharge, likely due to augmented basal meltwater or the collapse of a supraglacial lake.
Subglacial freshwater discharge into the ocean can significantly impact nutrient transport and, consequently, marine life. To elucidate these effects, Dr. Sugiyama and his team conducted further observations at Bowdoin Fjord, adjacent to Bowdoin Glacier. Their findings revealed that a water plume surfacing near the glacier exhibited notably higher concentrations of nutrients and dissolved inorganic carbon than the surrounding water. This was due to nutrient-rich deep fjord water upwelling alongside glacial discharge, leading to phytoplankton blooms observed near the interface of upwelled deep water and fresh surface water.
Phytoplankton play a pivotal role in the local ecosystem, serving as a primary energy source for higher trophic levels. This study underscored the significant role of subglacial freshwater discharge in nutrient availability and subsequent phytoplankton blooms in Bowdoin Fjord. As climate change alters the rate of freshwater discharge from glaciers, the question arises as to how these processes will be impacted.
In a subsequent investigation, Dr. Sugiyama, in collaboration with marine biologists, amassed and scrutinized samples of drifting marine creatures known as zooplankton from the surface of the Bowdoin Fjord. Over a three-day summer period, the team conducted observations aboard a vessel, recording temperature and salinity at 44 sites stretching from the glacier's edge to the fjord's mouth. Their focus was the freshwater discharge plume emanating from the glacier. Zooplankton samples were collected using a net at 15 locations and later analyzed in a laboratory setting.
The distribution of species varied across the fjord. Jellyfish dominated in the outer fjord, while large zooplankton such as chaetognaths and copepods were prevalent at the center of the plume near the glacier. In the middle of the fjord, barnacle larvae (cypris) were most abundant. The large zooplankton, likely transported from the outer fjord through bottom water layers and upwelled by the plume near the calving glacier, offer more nutritional value than the other two groups. Consequently, the inner fjord serves as a productive feeding ground for fish and seabirds.
Dr. Sugiyama's research underscores the significant role of glacial plume-driven bottom water upwelling in the local marine ecosystem, and by extension, the livelihoods of local inhabitants who rely on hunting and fishing. Understanding these processes is crucial as they may be severely impacted by the escalating meltwater discharge due to climate change. Thus, Dr. Sugiyama's work is instrumental in comprehending the potential impacts of climate change on marine life and human activities in Greenland.
In an effort to connect scientific findings to a sustainable future for Greenland's human society, Dr. Sugiyama and his colleagues engage with local communities. They host meetings to discuss the implications of their research and foster idea exchange, aiming to help communities prepare for the future.
The team's community engagement commenced when they initiated a partnership with a local hunter in Qaanaaq, Toku Oshima, whose father, a Japanese national, had settled in Greenland over four decades prior. Dr. Sugiyama recounts, "Our collaboration commenced when Toku facilitated our ocean measurements by granting us access to her boat." Intrigued by the research due to its pertinence to her fishing and hunting pursuits, Toku's involvement deepened as she independently began collecting valuable depth data during her maritime excursions. It was around this juncture that she proposed the team should engage with the local populace to foster an exchange of ideas and experiences. Dr. Sugiyama notes, "We consider this collaboration with a second-generation Japanese individual in Greenland to be singular," further emphasizing, "Her assistance has been invaluable in rendering our research more pertinent to society."
Dr. Shin Sugiyama, having completed his undergraduate and master's degrees in Material Physics at Osaka University, subsequently worked as a research engineer at Shinetsu Chemical Co. Ltd. He then pursued his PhD in Earth Environmental Science at Hokkaido University. Post-doctorally, Dr. Sugiyama relocated to Switzerland to investigate mountain glaciers at the Swiss Federal Institute of Technology. He later returned to Hokkaido University, where he currently serves as a Professor in the Institute of Low Temperature Science. His research team's focus lies in the study of glaciers and ice sheets, and their interactions with the ocean, with a particular emphasis on those in Greenland, Antarctica, and Patagonia, where he has conducted extensive fieldwork. Dr. Sugiyama has also held esteemed positions such as Vice President of the International Glaciological Society and scientific editor for both Frontiers in Earth Science and Annals of Glaciology.
In the realm of cancer screening, while early detection methods for certain cancers have proven effective, numerous barriers to participation persist. Cancer Care Ontario is actively fostering relationships and partnerships with First Nations, Inuit, and Métis communities across Ontario to address cancer-related issues and cultivate diverse, collaborative solutions that promote healing and health.
As extensively documented in the 1994 Royal Commission on Aboriginal Peoples and the 2015 Truth and Reconciliation Commission (TRC) reports, Canada's history is marked by the colonization of Indigenous lands and peoples. While the processes and experiences vary among First Nations, Inuit, and Métis (FNIM) peoples, Canadian Indigenous policy has historically aimed to displace Indigenous peoples from their traditional territories and to dismantle Indigenous ways of knowing, systems of governance, and cultures. This oppressive history, coupled with contemporary injustices, significantly impacts the health and wellbeing of FNIM peoples today.
Despite enduring oppressive forces, First Nations, Inuit, and Métis (FNIM) peoples have demonstrated remarkable fortitude and resilience. The Truth and Reconciliation Commission (TRC), a consequence of Indigenous peoples' bravery and resolve against Canada's residential school system, proposed 94 Calls to Action, including seven directly addressing health disparities. Reconciliation, in part, necessitates eliminating these health inequities.
In alignment with this health equity and reconciliation approach, Cancer Care Ontario (CCO), under the stewardship of Alethea Kewayosh, has been collaborating with FNIM leadership and communities for over a decade. This has resulted in a series of 'Aboriginal Cancer Strategy' policies, developed in partnership with FNIM leadership and healthcare stakeholders. These strategies guide CCO, regional cancer programs, and FNIM communities in improving cancer care.
CCO, in collaboration with Sunnybrook Research Institute (SRI), is conducting a research project focused on enhancing FNIM participation in Ontario's organized cancer screening programs (breast, colorectal, and cervical). Led by Dr. Jill Tinmouth (SRI), Alethea Kewayosh (CCO), and Dr. Naana Jumah (Northern Ontario School of Medicine), this project is undertaken in partnership with First Nations and Métis communities. The research team is adopting a multi-faceted approach – policy analysis, community-based experience evaluation, and regional intervention assessment – to develop a comprehensive knowledge translation action plan. This plan aims to address barriers and improve cancer screening participation among Indigenous communities.
The initiative, Kewayosh, underscores the team's selection of cancer screening as their primary focus: 'We've gathered numerous accounts across Ontario of cancer's devastating impact on communities – tales of loved ones diagnosed and lost within mere weeks, often from treatable cancers that, had they been detected earlier, might have been survivable. These stories, too numerous to ignore, highlight the potential of screening to save lives cut short by late detection.'
Understanding Policy from Every Angle
The research team's initial objective was to elucidate the health policy factors influencing access to and participation in cancer screening within Ontario's First Nations communities. To achieve this, they conducted an exhaustive review of health policy documents governing cancer screening and interviewed 44 key informants across community, regional, provincial, and federal levels. This inclusive approach encompassed both policymakers and those directly affected by these policies.
The policy document review and interviews revealed a complex cancer screening system, shaped by policies that often lack clear accountability for providing and supporting screening services in First Nations communities. Interviewees at all levels echoed this reality, making targeted policy change challenging. Furthermore, policies governing cancer screening among First Nations communities were infrequently developed or evaluated with community input, leading to policies that may not align with community needs and realities.
Community Perspectives on Barriers to Quality Care
To gain insights into community experiences and perspectives on cancer screening, the research team collaborated with Wequedong Lodge of Thunder Bay and the Métis Nation of Ontario (MNO) on two distinct community-based participatory research projects.
The Wequedong Lodge Cancer Screening Research Project aimed to illuminate the obstacles and enablers to cancer screening participation among First Nations individuals in Northwestern Ontario's rural and remote communities. This collaborative effort, equally involving Wequedong Lodge, CCO, and SRI, was steered by a Wequedong Lodge community advisory group overseeing all project aspects. To grasp the intricacies of cancer screening on the ground, the research team conducted comprehensive interviews with 29 First Nations individuals from 19 communities, nine community health workers from six communities, and ten healthcare professionals serving Northwestern Ontario's First Nations communities.
The community-driven analysis revealed that the absence of culturally relevant screening educational resources hindered community engagement with cancer screening. Persistent negative healthcare provider and system experiences, including discrimination and poor communication, fostered distrust and reluctance among community members towards screening participation. The intimate nature of breast, cervix, and colorectal cancer screening tests exacerbated these challenges. High healthcare provider turnover and lack of integration among regional health service providers made tracking screening participation and supporting community members difficult. Limited access to screening services and travel challenges to larger health centres also posed significant barriers. Key identified screening supports included: pursuing a regionally coordinated screening approach; developing screening education and guidance resources reflecting Northwestern Ontario First Nations community members' lived experiences; and enhancing healthcare providers' cultural competency.
In the Métis Cancer Screening Research Project, a collaborative effort between the research team and the MNO (Métis Nation of Ontario) was undertaken to pinpoint and address barriers and facilitators to cancer screening participation among Métis citizens in Ontario. This project, built upon the MNO's participatory research program and guided by a joint MNO-CCO-SRI working group, employed a mixed-methods approach combining focus groups and surveys. It involved 66 Métis community members and MNO frontline staff, revealing that limited Métis-specific resources, lack of cultural competency among healthcare providers, accessibility issues, and travel challenges hindered participation. Key supports identified included culturally tailored information, transportation assistance, increased local screening services, cultural training for healthcare providers, and integrated screening services.
Additionally, the team aimed to evaluate a large-scale cancer screening initiative, the 'Under/Never Screened' (UNS) project, conducted by CCO in partnership with several Ontario health regions from 2011 to 2014. This evaluation, focusing on First Nations, Inuit, and Métis (FNIM) populations in four regions, highlighted the importance of establishing long-term community partnerships, employing multiple engagement strategies, and developing a comprehensive evaluation plan from the outset to ensure cohesive evaluation across regions.
Culturally Sensitive Cancer Screening for Indigenous Populations
The research team, in collaboration with their partners, is now concentrating on creating more culturally relevant educational materials about cancer screening, encouraging physician participation in cultural competency training, and streamlining patient access to these services. While further efforts are required, these findings will enable the Canadian Cancer Organization (CCO) to enhance their cancer screening programs, potentially saving more lives. As Kewayosh underscores, "Our mission is to ensure equitable access and understanding not just of cancer services, but crucially, of prevention and screening services."
The overarching goal of this research initiative is to collaborate with First Nations, Inuit, and Métis (FNIM) leaders, academics, and community members to develop a comprehensive strategy for improving cancer screening participation within Ontario's FNIM communities. Dr. Tinmouth elaborates, "This project has revealed valuable insights about cancer screening and FNIM communities, which we are translating into a comprehensive 'action plan' to be integrated into CCO's work and beyond. Our future research will explore, for instance, the use of culturally appropriate decision aids to engage community members in cancer screening, effective communication strategies, and methods for reporting on cancer screening service delivery to communities."
The research team is refining and finalizing the knowledge translation action plan through ongoing engagement with community and policy stakeholders. Dr. Tinmouth reflects, "This project has illuminated key aspects of the policy context for cancer screening in FNIM communities, including critical challenges; barriers and facilitators faced by community members; and potential locally tailored interventions. Notably, we've learned that building relationships with community partners is paramount."
The term "Indigenous" in this document denotes the original First Nations, Inuit, and Métis (FNIM) inhabitants of Canada, and is interchangeably used with FNIM. When referring to external documents or programs that use "Aboriginal," that term is also employed.
Dr. Jill Tinmouth, after graduating from Yale University with a Bachelor of Arts in History of Art in 1988, went on to earn her Medical Doctorate from New York University School of Medicine in 1995. Following multiple residencies, she returned to academia, obtaining a PhD in Clinical Epidemiology & Health Care Research at the University of Toronto in 2004. Currently, she serves as the Associate Director of Health Policy, Management, and Evaluation in the Clinical Epidemiology Program at the University of Toronto, and as a Scientist at Sunnybrook Health Sciences Centre. Her research concentrates on gastrointestinal cancer screening, gastrointestinal health, and enhancing access to cancer screening among indigenous populations.
Alethea Kewayosh, with over three decades of advocacy for improved health services for Aboriginal peoples, brings a personal understanding of the diversity of Aboriginal Canadians, advocating for open dialogue and cultural understanding in the development of health programs for indigenous populations. Her distinguished career has led to the establishment of the National Aboriginal Diabetes Association and the initiation of Aboriginal Cancer Strategies, programs that acknowledge the unique needs of Aboriginal groups through direct community engagement. She currently serves as the Director of Indigenous Cancer Control for Cancer Care Ontario, working to increase access to cancer screening services in underserved communities.
Dr. Naana Jumah embarked on her academic journey with a Bachelor of Applied Science degree in Chemical Engineering from the University of Toronto. She then proceeded to obtain her Doctor of Philosophy in Medical Engineering from the University of Oxford, supported by a Rhodes Scholarship. Following this, she was awarded her Doctor of Medicine from Harvard University and subsequently returned to the University of Toronto to complete her residency in Obstetrics and Gynaecology. Currently, Dr. Jumah serves as an Assistant Professor at the Northern Ontario School of Medicine and also holds the position of Northwestern Ontario Lead for Colposcopy and Cervical Screening for Cancer Care Ontario. Recently, she and her colleague, Dr. Rodolfo Cardoso, have discovered that the onset of puberty in heifers is influenced not only by events occurring shortly beforehand, but also by those that transpire during pregnancy and early development.
The age at which young female cattle, or heifers, attain reproductive maturity has significant implications for beef cattle production. Despite this, a substantial number of heifers consistently fail to reach this milestone within the expected timeframe, leading to delayed calving beyond the desired age of two years. Consequently, researchers are actively seeking a more comprehensive understanding of the mechanisms that govern the sexual maturation of the reproductive axis, a system comprising multiple organs that regulate the production of sex hormones, ova, and sperm.
In female mammals, including humans, the process of puberty is multifaceted and intricate, involving the maturation of hormonal signaling pathways in a region of the lower brain known as the hypothalamus. For heifers, their productivity is contingent upon their ability to become pregnant during their first breeding season and to calve by approximately two years of age.
The onset of puberty is governed by a multitude of factors, with nutrition being a prominent influencer, although the precise mechanisms by which it and metabolism impact puberty are still under investigation. For the past two decades, Dr. Gary Williams, stationed at the Texas A&M AgriLife Research Station in Beeville, has been at the forefront of this research. For the last decade, his work has been conducted in collaboration with Dr. Rodolfo Cardoso, formerly his graduate student and now a colleague at Texas A&M University-College Station. Their research, ongoing since 2000, has been consistently funded by competitive grants from the Agriculture and Food Research Initiative of the USDA National Institute of Food and Agriculture.
In previous studies, the Texas A&M team, in conjunction with their collaborators, demonstrated that feeding early-weaned heifers a high-caloric diet during their juvenile phase can significantly hasten the onset of puberty. Remarkably, 60 to 80% of these heifers, fed this diet between 4 and 8 months of age, attained puberty prematurely, reaching sexual maturity by just 300 days of age. This is significantly earlier than heifers fed a typical forage-based diet and occurs due to effects on hypothalamic signaling pathways that regulate the secretion of crucial hormones.
The implications of their work extend beyond livestock production, with potential applications in the human biomedical field. Understanding the nutritional and developmental mechanisms that underlie the onset of precocious puberty could lead to the development of methods that achieve puberty in heifers at neither too early nor too late an age, and potentially help to avoid or minimize the occurrence of precocious puberty in girls.
The research team's analysis revealed significant shifts in the expression of approximately 700 genes within the hypothalamus, contrasting heifers subjected to a low-calorie diet with those fed a high-calorie diet. These genes are linked to appetite and metabolic processes. Moreover, epigenetic alterations—modifications in gene expression without altering the DNA sequence—were observed in several genes. Dr. Williams posits that these changes are enduring, as they correspond with consistent physiological events that manifest later in life and appear to be genomically imprinted.
Traditionally, continuously feeding heifers a high-calorie diet post-weaning at 8 to 9 months has been employed to hasten the onset of puberty. However, recent findings from a Texas A&M University duo suggest an alternative approach. To pinpoint the optimal window for accelerating puberty onset through dietary manipulation, researchers compared nutritional regimens involving alternating periods of high- and low-calorie diets over four 10-week intervals, commencing at 4 months of age. This regimen was dubbed the 'Stair-Step' nutritional model.
In their study, heifers were segregated into groups of 10. One group received a low-calorie diet, promoting a daily body weight gain of 0.5 kg, from 4 to 14 months of age. Another group was fed a high-calorie diet, facilitating a 1 kg daily body weight gain, over the same period. A third group adhered to the 'Stair-Step 1' (SS-1) nutritional regimen, comprising alternating 10-week periods of unrestricted access to high-calorie food, followed by a forage-based diet with restricted access (0.35 kg daily body weight gain) until the heifers reached 14 months of age. The remaining group followed the 'Stair-Step 2' (SS-2) nutritional regimen, which mirrored the SS-1 sequence but in reverse order.
The team's findings indicated that while heifers were more susceptible to nutritional influences during the early calfhood stage (4–6.5 months; SS-1), the occurrence of precocious puberty was notably high. Conversely, when the initial phase of high-calorie feeding was shifted to the period between 6.5 and 9 months (SS-2), puberty was consistently attained by 13–14 months, and the incidence of precocious puberty was significantly reduced. Dr. Cardoso interpreted these results as evidence that 'functional modifications in the hypothalamus during the early juvenile phase can dictate the timing of puberty that occurs later.' There is no apparent reason why this feeding pattern would not be effective in large-scale operations, potentially offering cattle producers a more economical and targeted approach.
In an unsurprising turn, heifers with greater adipose tissue reserves attained puberty earlier than those with less. This correlation is not unexpected, as a critical level of fat is necessary for adequate fertility. This hypothesis, first proposed in the 1950s, gained more traction after the discovery of the leptin gene in 1994. Leptin, a hormone produced in adipose tissue, appears to be the link between nutrition and reproduction, as it plays a pivotal role in regulating energy metabolism and reproduction. For instance, in women, a drastic reduction in fat reserves can lead to lasting adverse effects on reproduction until normal levels are restored.
In the context of heifers, Cardoso and Williams discerned a reciprocal relationship between leptin concentrations and levels of neuropeptide Y (NPY) in the cerebral tissue of these animals. They also observed a significant elevation in blood leptin levels, accompanied by a decrease in NPY in the brain, approximately 6 to 8 weeks post initiation of high-calorie diets. Given leptin's central nervous system effects largely mediated by NPY, increased leptin and decreased NPY levels in the brain can expedite puberty onset.
Williams elucidates, "Our bovine female findings suggest that nutritional regimens promoting accelerated juvenile body weight gain reduce NPY levels in the hypothalamus. This is achieved by decreasing NPY neuron interaction with gonadotropin-releasing hormone neurons, thereby facilitating pubertal maturation."
While Williams and Cardoso identified a'sweet spot' for advancing puberty age during the juvenile period, they noted inconsistent puberty onset, indicating other factors' influence. One unexamined factor was the mother's nutritional and metabolic status during gestation. This phenomenon, of later events influenced by gestational occurrences, is not novel; human studies link maternal starvation during pregnancy to offspring's later cardiovascular issues, demonstrating the perinatal period's susceptibility to adult-observed changes.
To investigate this effect, the team developed a model. They fed pregnant cows, carrying female fetuses, varying diets to achieve thin, moderate, or obese body conditions from 6 months of gestation until calving. Subsequently, heifer offspring were randomly assigned to groups for low or high weight gain rates until 8 months old.
The research team's investigations revealed that the most pertinent impacts stem from caloric restriction during gestation and the postnatal phase. In both instances, they observed a substantial decrease in the expression of genes encoding leptin receptors and transport molecules facilitating leptin passage across the blood-brain barrier in eight-month-old heifers. "Our research suggests that nutritional imbalances during perinatal development induce structural and functional alterations in the leptin-sensing neurons of heifers," explains Dr. Cardoso.
A heifer with a cerebroventricle cannula, enabling the measurement of central concentrations of leptin and neuropeptide Y (NPY), serves as a visual representation of the team's work. While their studies primarily focus on cattle, with a strong agricultural emphasis, the researchers acknowledge that these principles extend to other species, including humans. In young girls, excessive or restricted food intake during pregnancy or early childhood can hasten or delay the onset of puberty.
"Much of our work, while centered on livestock production, also has implications in the human biomedical field," states Dr. Williams. "The increasing global issue of precocious puberty in girls from developed nations underscores the need to understand the nutritional and developmental mechanisms behind its onset. By doing so, we can strive to achieve optimal puberty timing in heifers and mitigate the occurrence of precocious puberty in girls."
Looking ahead, Drs. Williams and Cardoso aim to further explore the influence of prenatal and postnatal nutrition on heifer development. A key objective is to identify changes in gene expression and understand their short- and long-term metabolic effects. Additionally, they intend to determine if these nutritional impacts persist across generations, a topic that, while challenging to replicate in cattle, could yield significant insights into animal health and productivity, given the established intergenerational effects of nutritional changes in various species.
Dr. Gary Williams, a distinguished academic, serves as a Regents Fellow, AgriLife Research Faculty Fellow, and Professor at Texas A&M AgriLife Research-Beeville and the Department of Animal Science, Texas A&M University-College Station. His academic journey culminated in a doctorate from the University of Arizona. Recognized nationally and internationally, Dr. Williams' research focuses on the neuroendocrinology and reproductive physiology of beef cattle and horses, with a current emphasis on neuroendocrine signaling pathways that govern the nutritional programming of puberty in beef heifers. His accomplishments include receiving the American Society of Animal Science's Animal Physiology and Endocrinology Award in 2004 and the Research Fellow Award in 2017. He has nurtured the academic growth of 44 MSc, PhD, and postdoctoral trainees.
Dr. Rodolfo Cardoso, an Assistant Professor in the Department of Animal Science at Texas A&M University, holds a DVM and MS from São Paulo State University (Brazil), and a PhD from Texas A&M University. Following a postdoctoral fellowship in Reproductive Endocrinology at the University of Michigan, he joined the Texas A&M University faculty in 2016. Dr. Cardoso's research in reproductive neuroendocrinology in female ruminants is renowned both nationally and internationally. His work employs beef heifers and sheep as animal models, integrating whole animal physiology with cellular and molecular biology to advance both the livestock industry and human reproductive health.
In a separate context, Professor Christiane Solte-Gresser, in her work "Using Dreams to Depict the Nightmare of the Holocaust," published on scientia.global on 9 April 2019, explores the literary depictions of dreams in Holocaust literature to shed light on the experiences of the millions who perished. Saarland University in Germany, through this interpretive lens, seeks to narrate the story of those who vanished during the Holocaust.
The term 'dream' also signifies aspirations that individuals yearn to achieve, as exemplified by Martin Luther King Jr.'s iconic oration, "I Have a Dream," and the notion of 'The American Dream'. Given their capacity to unveil our secret yearnings or deepest anxieties, dreams are a favored literary tool employed by artists, composers, poets, playwrights, novelists, and non-fiction writers. In J.K. Rowling's Harry Potter series, for instance, even before Harry discovered his magical prowess, the enchantment had begun to seep into his dreams, allowing the author to creatively delve into aspects of the narrative and evoke specific expectations and emotions in readers.
Coming to Terms with the Holocaust through Dreams
The Holocaust, alternatively referred to as the Shoah, was a state-sponsored genocide in which six million Jews and other victims were systematically murdered by the Nazis and their accomplices during World War II. The Nazis' objective was the total extermination of Europe's Jewish population, leading to the eradication of Jewish communities in numerous towns and cities.
The Holocaust is a tale that remains largely untold. Holocaust survivor Primo Levi described it as an event without witnesses, as most victims were annihilated, silencing their voices forever. Among the survivors, many were too traumatized to recount their experiences or felt unable to speak on behalf of the deceased.
The Holocaust's depiction poses a unique challenge, as its atrocities defy ordinary comprehension and narrative methods. Elie Wiesel's assertion that it was "the murder of humanity" underscores this difficulty, creating a paradox: how to narrate the narratively impossible. Literature, particularly its exploration of dreams, offers a solution. Dreams, integral to daily life and literary expression of the inexpressible, feature prominently in Holocaust literature. Survivors' nightmares, for instance, may echo their camp experiences, and even liberation may be perceived as a dream, inverting reality. Professor Christiane Solte-Gresser, a contributor to the European Dream Cultures Research Training Group, studies dream representations across eras, media, and cultures, focusing on poetics rather than psychological decoding. In her Holocaust literature analysis, she investigates how texts convey the trauma and make the incomprehensible experience accessible to readers.
Dr. Solte-Gresser, an academic, amasses literary works that employ dreams as their narrative tool to depict the Holocaust, subsequently comparing them with a keen eye on their roles and diverse literary structures. She scrutinizes accounts of genuine dreams in both autobiographical and fictional pieces. For instance, she examines dream sequences from concentration camps, as portrayed in narratives, plays, poems, reports, music, and films, across multiple languages.
Initial Discoveries
In her analysis, Dr. Solte-Gresser uncovers a wide spectrum of motifs, themes, and narrative styles used to approach the Holocaust through literature, present in both autobiographical and fictional dreams. Through her compilation and analysis, she finds a broad ambiguity and inconsistency in presenting dreams. However, dreams are portrayed in a manner that condenses perceptions and experiences of the Holocaust, serving as a crucial means to explore its unfathomable horror.
Dr. Solte-Gresser finds that some texts describe the harsh reality of concentration camps, where 'the boundary between life and death becomes tenuous, causing hallucinations, delirium, and agony to blur the line between wakefulness and dreaming.' For other survivors, dreaming was a means of escape from the harsh reality of concentration camps. For later generations, dreams sometimes serve as a way to reconnect with the deceased and give them a voice.
Recurring nightmares also feature prominently in Holocaust literature, which Dr. Solte-Gresser interprets as an indication that 'for many survivors, life after the camps is a terrifying illusion.' The persistent trauma of the Holocaust in dreams also suggests, as Dr. Solte-Gresser explains, that'survivors occasionally perceive their liberation as a dream, and view their imprisonment as the only true reality.'
As a collective of narrators, and given the incomprehensible nature of the Holocaust, it is our societal responsibility to scrutinize survivor accounts and literary remembrances, utilizing them as a means to foster a more enlightened world. The Nazis sought to annihilate Jewish culture and memory, making it incumbent upon us to prevent their genocidal intent from succeeding. With the passing of time, the preservation of Holocaust memory has become increasingly urgent, as most survivors are now in their twilight years or have already departed.
Professor Solte-Gresser's scholarly exploration of the indescribable aspects of the Holocaust and her interpretation of dreams serves to recover and transmit knowledge of this tragic event, which is inaccessible through other means. Her work personalizes the Holocaust, grounding it in individual experiences amidst the vast ocean of facts and figures.
In his seminal work "If This Is a Man" (1947), Primo Levi encapsulates the horrors and human resilience during the Holocaust.
Looking ahead, Professor Solte-Gresser continues her research on the cultural and media history of dreams in Europe, with expansive plans for the European Dream Cultures Research Training Group. Among various initiatives, she and her colleagues have established a Wiki page, 'Traumkulturen', which analyzes dream-related content across diverse mediums, including literature, film, and art, with a focus on works by Holocaust survivors. While still in its nascent stage, Professor Solte-Gresser invites researchers to engage with the existing content or contribute their own insights to further enrich this collaborative platform.
Moreover, the collaborative project Wiki, along with a multitude of books and articles dedicated to European Dream Cultures, have already seen the light of day or are in progress. These publications stand as testament to the Research Training Group's scholarly accomplishments, providing a cohesive and integrative framework for individual research endeavors. The Research Training Group also plans to persist in publishing its semesterly newsletter, keeping the academic community apprised of its activities.
Professor Solte-Gresser, as the spokesperson for the European Dream Cultures Research Training Group, intends to maintain the group's ongoing activities, such as conferences, symposia, public cultural projects, and workshops. These platforms facilitate scholarly discourse among researchers and wider audiences. Furthermore, Professor Solte-Gresser and her colleagues incorporate their research findings into their teaching, currently benefiting 30 PhD students and postdoctoral researchers.
Professor Christiane Solte-Gresser, having graduated in Germanic and Romance studies from Bremen and Paris, obtained her PhD from the University of Bremen. Prior to joining Saarland University, she served as Associate Professor of French and Italian Literature at Goethe University in Frankfurt, and as a visiting professor at Aix-Marseille University in France. Currently, she is a Professor of General and Comparative Literature, and the Chair of Comparative Literature, at Saarland University in Germany, where she also serves as the spokesperson for the European Dream Cultures Research Training Group. Her primary research interests lie in narrative research, encompassing the aesthetic portrayal of everyday life and dreams, the nexus between literature and philosophy, the history of autobiography, and literary theory.
A former Mejiro University professor, residing in Tokyo, has dedicated research to exploring the language used by Lafcadio Hearn, a Greek-Irish writer who later adopted the name Koizumi Yakumo. This language, coined 'Hearn-san Kotoba', emerged from Hearn's unique communication style, particularly in the context of Japanese language education. Hearn, known for his literary works and letters, spent his later life in Japan, writing about Japanese culture and introducing folklore to the West through works like 'Kwaidan'.
Hearn, unable to fully grasp Japanese grammar, developed this 'interlanguage' with his wife, Setsu Koizumi, and other locals. Setsu, in her notes, recounted, "From my youth, I loved old tales. I began telling him Japanese stories, which he found challenging but engaging. He named our shared language 'Hearn-san Kotoba'." Initially, Hearn communicated in broken Japanese, while Setsu adjusted her language to facilitate understanding. Over time, this unique 'interlanguage' evolved.
In linguistic studies, this process is termed 'pidginization'. Pidginization occurs when a language simplifies, adopting rudimentary grammar and vocabulary, to serve as a communication tool between speakers of different native languages.
From a linguistic perspective, "Hearn-san Kotoba" presents an intriguing subject for scholarly inquiry, as it arises from the ongoing interplay between two individuals from distinct linguistic backgrounds. Captivated by this unique language and its quirks, Professor Akemi Kanazawa has conducted a series of studies, examining it through the lens of Japanese language education.
In her research, Professor Kanazawa scrutinized excerpts from Hearn's correspondence and his wife Setsu's written memoirs. She noted that Hearn's Japanese was significantly influenced by English, his mother tongue. As she wrote in one of her papers, "Based on Hearn's letters, where written Japanese remains, and Setsu's memoirs, where spoken Japanese remains, it is evident that Hearn's Japanese is heavily influenced by his native English in both syntax and expression."
When Hearn taught English to his son, Kazuo, he often resorted to literal English-to-Japanese translations. For instance, he translated the sentence 'It is a dog' as 'Sore desu ichi-inu', where 'Sore desu' means 'It is' and 'ichi-inu' means 'a dog'. However, in standard Japanese, this would be translated as 'Sore wa inu desu'.
"Hearn-san Kotoba" also eliminates redundancies characteristic of standard Japanese grammar. Professor Kanazawa discovered that Hearn employed approximately 150 verbs without conjugating them, as a native Japanese speaker would. Instead, he used verbs in their 'dictionary form', adding the 'desu' auxiliary verb to convey politeness. Professor Kanazawa suggests that Hearn's frequent use of polite expressions might have been influenced by his wife Setsu, whose family had samurai lineage and thus would have often employed such expressions in communication.
Japanese verbs are categorized into three primary groups: I, II, and III. The III-group is exclusively composed of the verbs'suru' (to do) and 'kuru' (to come). Professor Kanazawa noted that Lafcadio Hearn frequently misused these verbs, such as prefixing them with inappropriate nouns (e.g., 'benkyo-suru' → to study) and creating novel expressions. He also employed 'aru' (there is), typically reserved for inanimate objects, to refer to animate subjects and assigned it various meanings.
In her research, Professor Kanazawa found that when communicating with non-native speakers, Japanese people employ a simplified language, known as 'foreigner talk' and 'foreigner writing'. Setsu, in her interactions with Hearn, used such simplified forms. However, Professor Kanazawa observed that Setsu's written communication, or 'foreigner writing', exhibited unique characteristics. She often simplified sentence structures while maintaining detailed content, frequently incorporating onomatopoeia and mimetic words to convey scene details vividly.
Professor Kanazawa described Setsu's letter-writing style as "rich in color and music, creating her own unique world." In a letter dated August 23, 1904, Setsu employed vivid language to evoke the reader's senses, describing a scene with morning glory flowers and noisy women, using the onomatopoeic 'hohohohohoho' to convey their lively chatter.
As per Professor Kanazawa's research, Hearn's literary style was influenced by Setsu's use of onomatopoeia and mimetic words, with both authors employing vivid, emotive expression. Given Hearn's lack of Japanese language proficiency, Setsu would narrate tales and legends that inspired his works. Their communication and writing style, marked by complexity and nuance, diverged significantly from modern simplified Japanese.
During his residence in Martinique (1887–1889), Hearn developed an affinity for Creole language and culture, likely due to his fluency in French. Professor Kanazawa posits that this experience may have shaped Hearn's approach to the Japanese language.
Upon arriving in Japan on April 4, 1890, Hearn expressed his desire to learn Japanese and understand its emotional depth in a letter to Basil Hall Chamberlain. However, in a letter dated July 25, 1891, he conveyed doubts about his ability to master the language.
Professor Kanazawa suggests that Hearn's attempt to learn Japanese, employing the aural-oral method he used for French and Creole, led to frustration. This was due to the Meiji era's linguistic chaos and varied sentence styles, causing him to abandon his studies.
Lafcadio Hearn's personal account, 'From the diary of an English teacher', indicates that he methodically learned Japanese, recognizing its intricacy and stark differences from Western languages. In his written Japanese, Hearn consistently omitted long vowels, as seen in 'kawai' instead of 'kawaii', suggesting he primarily learned the language aurally.
Hearn's son, Kazuo, explicitly stated that his father's Japanese was not standard, but rather a unique form that few could comprehend. When teaching English to Kazuo, Hearn employed a textual translation method, often having him read sentences aloud until he pronounced them correctly. This method, also known as the 'Audio-Lingual Method', was prevalent in Japanese language education from the 1960s to the 1980s.
In his teaching, Hearn utilized two primary translation methods: literal and free translation. An example of literal translation is 'gallop-a-trot', which he translated as 'tobasu (gallop) ichi (one) jinori (trot)'. Free translation, conversely, conveys the general meaning of a text without preserving its original form.
Both literal and free translation methods have been proposed by scholars as language learning techniques. For instance, Heinrich Gottfried Ollendorff published a grammar exercise book featuring both literal and free translation examples. In Japan, literal translation was first employed in education by Nakahama Manjirou.
Professor Kanazawa's research into 'Hearn-san Kotoba', a pidginized Japanese language coined by Lafcadio Hearn, provides valuable linguistic insights that could inform Japanese language education. Her studies suggest that Hearn acquired his unique version of Japanese orally, through listening to native speakers and interacting with them. Professor Kanazawa found that 'Hearn-san Kotoba' has both English and Creole influences, yet it is also stylistically aligned with Hearn's wife's 'gaijin-go' (foreigner talk) and 'gaijin-kun' (foreigner writing).
Professor Kanazawa, in her writings, describes Hearn's Japanese as a pidginized form that diverges from standard Japanese, eschewing redundancy to create a distinct linguistic system, potentially influenced by Hearn's affinity for Creole languages. This interpretation is an interlanguage, a stage in second language acquisition. While some scholars have critiqued simplified and pidginized versions of Japanese, the National Institute of Japanese Language, led by Kikuo Nomoto, conducted a comprehensive 6-year study on 'Simplified Japanese' and its teaching materials, published in 1994. Earlier, in 1956, cultural anthropologist Tadao Umesao advocated for a more inclusive approach to Japanese language use, encouraging understanding and acceptance of foreign-influenced expressions and pidgin forms. Professor Kanazawa posits that these efforts, including those of Setsu and Hearn, share common ground with academic work like Umesao's and Nomoto's.
A former professor of Japanese Language Education at Mejiro University, Tokyo, Akemi Kanazawa specializes in the relationship between foreign learners' interlanguage and pidginization processes. She has contributed to the establishment of a 3-year Japanese diploma course at National North Sumatera University. With a broad research portfolio encompassing linguistics, comparative teaching methods, and Japanese education history, Professor Kanazawa has authored books and papers, and taught diverse subjects. Her work includes studies on Koizumi Yakumo's pidgin Japanese and the 'Yokohama Dialect'. She has presented her findings at various institutions, conferences, and symposiums, most recently at The Matsue International Symposium, marking the centennial of Koizumi Yakumo's death.
The Alexander von Humboldt Foundation fosters scholarly collaboration between distinguished researchers from Germany and abroad, offering over 700 fellowships and awards annually. These enable global researchers to pursue self-chosen projects in Germany alongside a host and partner, while German researchers can also benefit and cooperate internationally. The foundation's network comprises more than 29,000 'Humboldtians' from diverse fields in over 140 countries, including 55 Nobel laureates, forming a community united by shared values and experiences. By promoting Germany's international research profile and visibility, the foundation strengthens the nation's global competitiveness. In this exclusive interview, we engage with Professor Dr. Hans-Christian Pape, the foundation's president, to discuss its distinctive contributions to research.
Alexander von Humboldt (1769-1859), a multifaceted naturalist, explorer, cosmopolitan, and advocate for academic freedom, embarked on a transformative journey through Latin America from 1799 to 1804. Ahead of his time, Humboldt's influence persists today. His interdisciplinary and transnational approach to knowledge-sharing made him an early networker. He is credited as a trailblazer in holistic ecological thought, science popularization, and a globally inclusive worldview. Humboldt believed in collective problem-solving and the integration of diverse perspectives for progress.
The enduring principles of mutual comprehension, intellectual liberty, and scholarly eminence continue to guide the Humboldt Foundation, inspired by the legacy of Alexander von Humboldt. As part of the bicentennial celebrations of Humboldt's birth in 2019, the foundation launched the 'humboldt-heute/humboldt-today' campaign, posing the question: "What does Humboldt today mean to you?" to a global network of researchers, as well as to prominent figures in politics, arts, and journalism.
In an interconnected world, challenges such as climate change, sustainable energy, and combating infectious diseases necessitate international scientific cooperation, as no single nation can tackle these issues alone.
The Alexander von Humboldt Foundation is financed by various federal ministries and international partners, including the Federal Foreign Office, the Federal Ministry of Education and Research, and the Federal Ministry for Economic Cooperation and Development. It supports exceptional researchers from Germany and abroad through its programs, with selections based on individual achievements and qualifications, rather than quotas for specific countries or disciplines. The foundation believes in the power of individual brilliance, even in the era of collaborative research, and thus sponsors individuals, not projects. This approach allows 'Humboldtians' to choose their host institutions and conduct independent research with minimal constraints.
The foundation's support extends beyond the initial research stay in Germany, maintaining strong ties with alumni and offering various networking and sponsorship opportunities to foster continued academic growth and collaboration.
Worldwide, there are nearly 30,000 individuals who have benefited from the Alexander von Humboldt Foundation's sponsorship, collectively known as 'Humboldtians'. The Foundation's enduring support, encapsulated in the phrase 'once a Humboldtian, always a Humboldtian', fosters a lifelong partnership with these researchers. This results in a robust global academic network, with alumni sponsorship programs providing tailored support for individual career paths and encouraging cross-disciplinary and international collaborations.
The Humboldt Foundation's commitment to fostering a 'culture of welcome' in Germany has been a key initiative for over a decade. This includes working with various partners to attract researchers and their families, facilitate their stay, and maintain long-term relationships post-visit. Between 2003 and 2005, the Foundation awarded the 'Germany's Friendliest Immigration Office' prize three times, highlighting the importance of dedicated immigration offices in attracting top international researchers and students. The award recognized infrastructure improvements, further education measures, and networking efforts between authorities, universities, and other immigration offices.
One of the Humboldt Foundation's undertakings was the 'Welcome Centres for internationally mobile researchers' initiative, which ran as an ideas competition from 2006 to 2011. This program aimed to inspire German universities to establish central support hubs for visiting researchers and their families, offering comprehensive advisory services. The competition proved successful, motivating many institutions to create their own Welcome Centres.
From 2011 to 2016, the Humboldt Foundation hosted another ideas competition, this time focused on international alumni work. This project, part of the 'International Research Marketing' initiative, sought innovative strategies to maintain and utilize contacts with international alumni who had previously conducted research in Germany and were now pursuing academic careers abroad.
The Humboldt Foundation is recognized for its research cooperation with developing countries. In today's interconnected world, a nation's scientific and technical prowess significantly impacts its growth, prosperity, and societal harmony. However, the global competition for innovative knowledge makes it challenging for developing and transition countries to build and maintain internationally competitive science systems.
Key obstacles include identifying effective training grounds for junior researchers and encouraging academics to address the unique challenges faced by less developed countries. Currently, research activities in these nations often mirror the priorities of industrialized countries, leading to a disparity in research focus and distribution.
In a photograph, fellows engage in a poster session, exemplifying the Foundation's commitment to fostering international academic exchange and collaboration.
Addressing global challenges, such as climate change, energy security, and infectious diseases, necessitates enhanced cooperation among nations, particularly between developed and developing countries. These complex issues transcend national boundaries and require collaborative scientific efforts. In response, the Alexander von Humboldt Foundation has implemented targeted initiatives to foster academic excellence in developing regions and strengthen transnational, interdisciplinary research networks.
One such initiative is the Georg Forster Research Fellowship, which supports researchers from developing or transition countries. Applicants are encouraged to propose research projects that align with the developmental needs of their home countries or regions. Additionally, Return Fellowships facilitate the reintegration of researchers into institutions abroad.
The Foundation also promotes higher education and research in mathematics through the 'German Research Chair' program at African Institute for Mathematical Sciences (AIMS) centers. This program has successfully established five chairs in Senegal, South Africa, Ghana, Cameroon, and Tanzania, focusing on application-oriented mathematics.
Furthermore, the Humboldt Foundation cultivates the next generation of scientists through the prestigious Sofja Kovalevskaja Award. This award recognizes exceptional international researchers at an early stage in their careers, providing them with the freedom and resources to pursue innovative projects in Germany for up to five years, accompanied by the opportunity to build their own research groups.
Beyond conferring fellowships and awards, the Foundation prioritizes networking opportunities at its conferences and events. It actively connects young researchers with established scientists and scholars through colloquia, kollegs, award winners' forums, and ceremonies, fostering a collaborative and supportive academic environment.
On 03 April 2019, at 13:40:42 UTC, an article titled "Something in the Air Tonight" was published on scientia.global, authored by Dr. Johanna Gostner. The piece delves into the intricate composition of our atmosphere, which comprises a myriad of volatile compounds that we unwittingly inhale, with largely unexplored implications for our health. Dr. Gostner, affiliated with the Medical University of Innsbruck, Austria, is at the forefront of research aiming to elucidate the molecular repercussions of such exposures.
The air we breathe is a complex amalgamation of volatile organic compounds (VOCs), nitric and sulfur compounds, polycyclic aromatic hydrocarbons (PAHs), and myriad particles. Some of these substances exert short- and long-term effects on human health, and certain ones even contribute to climate change. But what are VOCs? The term 'organic' signifies that these compounds are carbon-based, while 'volatile' indicates their lower boiling points, allowing them to readily evaporate and exist as gases in the atmosphere.
VOCs are incredibly diverse in their origins and properties. They are integral to the fragrances in perfumes, responsible for the distinctive 'new car smell' in plastics, and present in cigarette smoke. Many indoor VOCs are released from paints, carpets, building materials, and furniture. While some VOCs have established regulatory thresholds or guidelines, many others do not. Notably, many volatile substances also originate from natural sources such as microorganisms, plants, and animals, where they play crucial roles in interspecies communication.
The average surface area of an adult human lung is roughly 140 square metres, facilitating direct entry of certain compounds into the circulatory system upon traversing the 'alveolar barrier' in the gas-exchange region. Key queries revolve around the biological activity of inhaled volatile organic compounds (VOCs), their potential to induce stress or adaptation, and even promote healing or reduce inflammation. Notably, not all VOCs are inherently harmful under controlled conditions, with many employed in therapeutics, such as anaesthetics and aromatherapy.
Assessing the health impacts of indoor VOCs presents a challenge, as exposure often occurs at low concentrations over extended periods. Current chemical testing primarily focuses on immediate effects and acute toxicity, potentially overlooking the consequences of chronic exposure. For instance, sensitisation to VOCs may occur long before any apparent allergic symptoms manifest. Therefore, there is an urgent need to elucidate the biological processes triggered by VOCs and map the molecular pathways associated with potential health outcomes.
In this regard, a novel exposure platform enables stable lung cell exposure to low VOC concentrations over extended periods, without compromising cell viability. Dr. Johanna Gostner of the Medical University of Innsbruck, Austria, specialises in cellular signalling pathways and their application in studying VOCs' biological effects. Her latest research involves 'in vitro' assessments of VOCs' mode of action at the molecular level using cell culture models, employing air–liquid interface cultures of lung cells and a system that facilitates airborne exposure to defined concentrations of volatiles.
To clarify, Dr. Gostner's group employs a technique that allows volatile organic compounds (VOCs) to interact with human lung cells grown in culture. These lung cells are maintained in such a way that their upper surface is exposed to the air, while they absorb nutrients from the bottom, as they grow on a porous membrane – a method known as 'air–liquid interface (ALI) culture'. Unlike traditional'submerged cultures' where cells grow attached to a plastic surface and are submerged in a feeding medium, this approach avoids any liquid interference at the gas contact site. Dr. Gostner emphasizes the significance of this, as any liquid could alter the reactivity of the compounds or prevent water-insoluble compounds from reaching the cells.
The team's preliminary work focused on formaldehyde, a common indoor air pollutant often emitted from wood-based products, carpets, or tobacco smoke. Due to its widespread use, formaldehyde is a regulated and closely monitored airborne pollutant, and its health impacts on various tissues, organs, and organisms are well-documented. Nevertheless, until now, it remained unclear what molecular changes, if any, occur in cells when formaldehyde is present at extremely low concentrations.
The initial challenge faced by Dr. Gostner's team was of a technical nature, requiring them to devise a method for effectively exposing cultured, living lung cells to airborne formaldehyde without causing dehydration or stress. Previous attempts had been restricted to brief exposure durations due to the risk of liquid evaporation and consequent cell damage. While increasing the humidity of the gas stream could mitigate evaporation, it could also lead to condensation, which posed issues when dealing with water-soluble substances. The team invested considerable time in developing a solution, ultimately creating a system that maintained a consistent level of VOC exposure and humidity, allowing the cells to remain viable for at least three days – a substantial advancement over previous systems.
The second challenge was to identify a suitable biological endpoint, a measurable indicator of any VOC effects on the cells. Compounds like formaldehyde exhibit both specific biological activities (impacting signaling pathways) and non-specific activities (binding to any protein), making it crucial to consider a broad range of effects. To address this, the team elected to perform whole-genome transcriptional analysis, which examines the RNA responsible for protein production and reflects the cell's response to its environment. This approach, being comprehensive and unbiased, generates extensive data that can help uncover even peripheral effects.
Dr. Gostner and her team employed a novel screening technique to explore whether discernible responses to stimuli could be detected and potential biomarkers identified. "Our methodology," Dr. Gostner explains, "enables us to gauge both immediate and prolonged responses, which is crucial when evaluating the significance of molecular alterations linked to disease symptom development, particularly those tied to poor air quality like asthma or sick building syndrome."
Exposure to minute formaldehyde concentrations (0.1 parts per million, akin to two glasses of wine dispersed in an Olympic-sized pool) triggered over 300 gene expression changes in cells. Rather than a singular pathway, multiple pathways were impacted, revealing the multifaceted and intricate nature of volatile organic compound (VOC) effects, previously underestimated. While health interpretations of this initial proof-of-concept study's findings pose a challenge, the team demonstrated that concentration indeed exerts biological effects, with responses escalating in tandem with dose.
A key strength of Dr. Gostner's approach is its capacity to monitor low-dose VOC activities over extended periods, a feat previously elusive. This method also facilitates the analysis of therapeutic VOC mechanisms and could shed light on cellular changes induced by VOCs in beauty products and perfumes, mimicking real-life scenarios and enhancing our understanding of harmful effects on cell signaling.
While no testing method is flawless, and human complexity cannot be fully replicated, Dr. Gostner's technique does have limitations. It currently employs immortalised cell lines, which, while common in biomolecular and toxicological research, are less sensitive to damage than normal human cells, necessitating cautious interpretation of results.
Efforts are presently underway to enhance the team's methodology, with the objective of employing primary cell populations sourced from human donors to better mimic in vivo conditions. This approach, inherently more intricate, may be viewed as an advanced diagnostic technique supplementing the existing cell-culture VOC screening method.
Moreover, a significant hurdle lies in the scarcity of data regarding the pathways implicated in VOC toxicity, especially at low concentrations. As Dr. Gostner observes, 'Investigating biological functions and processes with low-dose treatments is challenging, as molecular interactions documented in databases are usually characterized under diseased or stressed conditions. Only a handful of pathways are described in low-level contexts, where more nuanced responses become crucial.'
Looking ahead, the team faces a multifaceted biological response to VOCs, convoluted by the myriad of cells and cellular signaling pathways involved. Initial work has uncovered several promising leads, yet numerous studies remain to be conducted before these avenues can be fully explored. Nevertheless, it is evident that Dr. Gostner and her colleagues will be pioneering this emerging field of research.
Dr. Johanna Gostner initiated her academic journey in the realm of genetics and biotechnology at the University of Salzburg, Austria. She then relocated to the prestigious Max Planck Institute in Munich, Germany, where she pursued her Master's degree. Subsequently, she moved to Innsbruck to undertake her PhD at the Tyrolean Cancer Research Institute. During this time, she also broadened her knowledge in chemistry, joining the Division of Medical Biochemistry at the Medical University of Innsbruck as a postdoctoral fellow. Her research focused on biochemical and immunotoxicology, with a particular emphasis on signalling processes influenced by external factors such as diet and pollution. In 2015, she further enhanced her expertise with a stint at the renowned Imperial College London, before returning to Innsbruck to establish an independent junior research group, supported by the esteemed Hertha-Finberg fellowship from the Austrian Science Fund. Dr. Gostner has authored over 50 original articles and has been recognized with several awards, including the Blair-Curtius-Pfleiderer-Wachter Award for Pteridine Research and the ISTRY Young Investigator Award. In 2019, she obtained her habilitation in biochemistry at the Medical University of Innsbruck. The Austrian Science Fund (T703), the Medical University (MUI-START 2014-05-023), and the Austrian Research Promotion Agency (FFG 834169) have provided significant funding support, for which she expresses her gratitude. She also acknowledges the invaluable contributions of numerous expert scientists who have been involved in her research activities. Meanwhile, at the Ludwig-Maximilians University Munich, von der Wense and Benedict Seiferle are working towards developing a highly precise nuclear clock by exploring the nucleus of Thorium-229. If successful, their work could pave the way for applications such as ultra-precise GPS systems and rigorous tests of the most fundamental constants of physics.
From the grandest grandfather clocks to the most compact digital watches, the timekeepers we depend on share a common denominator: the necessity to accurately gauge the frequency of an oscillating system, dubbed the 'frequency standard'. While traditional grandfather clocks track time by continually monitoring the frequency of a swinging pendulum, digital watches do so by measuring the regular pulse of a quartz crystal under an electrical current.
Yet, as any physicist would attest, absolute precision in measurement is an unattainable ideal. Even minute discrepancies in a clock's frequency standard accumulate over time, rendering the device increasingly unreliable – a critical concern for physicists conducting experiments that demand meticulous precision.
In the 1930s, US physicist Isidor Isaac Rabi proposed a frequency standard that could render inaccurate clocks a relic of the past. Dubbed the 'atomic clock', Rabi's invention operated by measuring the frequencies of microwave signals emitted by the electrons of atoms as they shifted between different orbits, or 'energy levels'. With modern iterations of atomic clocks, physicists can now measure time with an error of just one second every 30 billion years, a figure far exceeding the age of the Universe. Nevertheless, there exist applications involving time measurements where even this minute margin of error is insufficient.
Enter the Nuclear Clock
Inherent in some envisioned applications are margins of error that even the most precise atomic clocks cannot achieve. Instead, a new generation of clock is required, one that uses the frequencies given off by atomic nuclei as they transition between energy levels as its standard. 'Today's most precise time and frequency measurements are performed with optical atomic clocks,' explains Dr. Peter Thirolf of Ludwig-Maximilians University Munich (LMU). 'However, it has been proposed that they could potentially be outperformed by a nuclear clock, which employs a nuclear transition instead of an electron transition.'
The shifts between nuclear energy states mirror those of electron energy levels. Nuclei may temporarily inhabit specific energy states, known as isomers, before reverting to their lowest energy state, or ground state. The nucleus, being 100,000 to 1,000,000 times smaller than the atom, is less susceptible to external disturbances. Consequently, the precision of frequencies emitted during nuclear transitions can surpass that of electron transitions, making nuclear transitions a promising candidate for highly accurate timekeeping devices. Despite these advantages, no nuclear clock has yet been constructed.
At the crux of this challenge is the fact that artificially elevating nuclei to higher energy states is significantly more difficult than doing so for electrons. This is because nuclear energy levels are typically much higher than those of electrons. While electrons can be 'excited' using laser light of specific energies, current laser technology cannot generate light with energies high enough to induce transitions to typical nuclear energy levels, rendering most nuclear energy levels inaccessible.
Nevertheless, there is a singular exception. The first excited state of Thorium-229, known as the thorium isomer, has a predicted lifespan of several thousand seconds and is the only known nuclear energy level that could potentially serve as a nuclear clock using existing technology.
Thorium-229, with 90 protons and 139 neutrons, is an ideal candidate for a highly stable and precise nuclear clock, owing to its long lifespan and low excitation energy. Despite extensive theoretical work predicting its properties over decades, direct transitions from the isomer to the ground state of Thorium-229 have remained unobserved, despite numerous attempts by physicists. For over four decades, researchers have sought to identify and characterize the elusive transition from the isomer to the lowest energy level of Thorium-229, with only indirect evidence suggesting an exceptionally low excitation energy of 7.8±0.5 electronvolts. This makes the thorium isomer the lowest nuclear excited state reported to date. In comparison, most nuclei require millions of electronvolts to reach higher energy levels, making the thorium isomer a fascinating prospect. Recently, Dr. Thirolf, along with Dr. Lars von der Wense and Benedict Seiferle, set out to experimentally detect this transition for the first time, aiming to overcome past challenges.
In 2016, a collaborative effort between LMU Munich, Mainz, and Darmstadt researchers culminated in the pioneering experimental detection of a direct transition between the metastable state (isomer) and the ground state of Thorium-229. This breakthrough, following four decades of global pursuit by nuclear physicists, was accomplished by observing a distinct decay signature. The team successfully detected the first direct transition of this nuclear energy level by observing the transfer of the thorium isomer's nuclear excitation energy to an electron, which was subsequently ejected and detected.
This initial observation opened avenues for more detailed exploration. Given Thorium-229's unstable nucleus, one of the first properties investigated was the 'half-life'—the time taken for half of the thorium isomers in a system to decay back to the ground state. The team's foundational work facilitated precise studies of the thorium isomer's decay parameters, leading to the first measurement of the neutral isomer's half-life.
Subsequently, the team delved into the unique energy level splitting, or 'hyperfine structure', of the thorium isomer. Shortly thereafter, in partnership with laser specialists from the German National Metrology Institute and Mainz colleagues, they employed collinear laser spectroscopy in their experimental setup. This technique yielded detailed insights into the thorium isomer's nuclear properties, including its hyperfine structure.
Having experimentally observed and thoroughly characterized the thorium isomer for the first time, the physicists are now poised to advance towards their ultimate objective: the development of a nuclear clock, a transformative approach to timekeeping.
Recent breakthroughs surrounding the thorium isomer have brought the prospect of highly accurate, ultra-stable nuclear clocks into the realm of near-term feasibility. Substantial advancements in understanding the elusive nuclear energy level of the thorium isomer have been made in recent years, opening avenues for laser-based manipulation of this isomer. Consequently, the long-sought goal of developing an ultra-precise nuclear frequency standard, or nuclear clock, may soon be achieved. This would enable timekeeping devices to operate with unprecedented accuracy, reducing uncertainties to negligible levels, and subject fundamental physical constants to unprecedentedly rigorous tests.
A functional nuclear clock holds great promise for various applications, spanning enhanced precision in satellite-based navigation systems and seismology, to exploring potential time variations in fundamental physical constants. In the coming years, physicists are poised to make the first nuclear clock a reality.
Dr. Peter Thirolf, who obtained his PhD from the University of Heidelberg in 1992, has since held posts at the Max-Planck-Institute for Nuclear Physics and Ludwig-Maximilians-University Munich. His research interests encompass the structure of exotic nuclei, medical physics instrumentation, nuclear mass spectrometry, laser ion acceleration, and fundamental physics.
Benedict Seiferle, currently pursuing a PhD at Ludwig-Maximilians-University Munich, is focusing on the direct detection of the Th-229 isomer. His thesis aims to precisely characterize the properties of Th-229m, for which he has already measured the isomer's lifetime and is currently working towards determining its excitation energy.
Lars von der Wense, a German physicist, completed his academic training in physics and mathematics at the University of Hamburg. His undergraduate career culminated in the attainment of a diploma in physics, with a specialization in string theory. Subsequently, he pursued a Master's degree in Applied Mathematics at the University of Cambridge in the United Kingdom. For his doctoral thesis, von der Wense shifted his focus to experimental physics and has been associated with the Thorium-229 project at Ludwig-Maximilians-Universität München since 2011. In 2017, he was awarded a PhD for his groundbreaking work, which resulted in the first direct detection of the nuclear isomer 229mTh. This significant achievement was recognized by the editors of Physics World, who selected it as one of the Top 10 Physics Breakthroughs of 2016. Presently, von der Wense continues his research on Thorium-229 as a postdoctoral researcher.</s>
|
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<s> Category Archives: pet safetyWe at Bernville Veterinary Clinic – Pet Spa & Resort are now recommending that our dog patients be vaccinated for Canine Influenza and will require it for our Spa guests. Canine Influenza Virus (H3N8) is an influenza virus that is relatively new and highly contagious. It can be a part of a complex of viral and bacterial upper respiratory agents causing illness in dogs. Different parts of the country have experienced outbreaks, including the northeast and Pennsylvania.
Signs of Canine Flu are very similar to Kennel Cough except usually more severe. These signs include coughing mainly; fever, ocular & nasal discharge, and sneezing. The disease can progress to pneumonia in severe cases. About 80% of dogs exposed to the virus will show signs of the Flu and up to 8% can die from infection. The 20% who show no signs will still shed and spread the virus. The virus can remain active on hands for up to 12 hours and 24 hours on clothing.
The safe vaccine greatly reduces the viral shedding and severity of cough as well as protecting the lungs from severe lesions. We would like to stay ahead of this disease and be proactive instead of reacting after sickness or death occurs in our area. The vaccine is administered and boosted 2 to 4 weeks apart and then yearly thereafter. vitamin your</s>
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1670,
1436,
1426,
4925,
72,
59337,
1522,
4609,
12028,
1389,
10955,
1669,
59320,
73,
64,
3236,
4276,
4925,
72,
59337,
1522,
4609,
12028,
1389,
10955,
1669,
72,
59356,
2496,
59320,
59345,
59344,
59344,
59344,
59347,
1504,
5,
1395,
1535,
1566,
27159,
5,
1670,
59369,
5,
1670,
2482,
1504,
5,
1395,
1535,
10415,
72,
8371,
6619,
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59336,
72,
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59342,
1369,
72,
59339,
59342,
4925,
72,
1686,
12498,
5306,
4925,
72,
1686,
13908,
52026,
5,
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1535,
2520,
59320,
64,
1496,
8371,
7979,
16703,
5,
1670,
59369,
5,
1535,
59369,
5,
5,
1535,
1436,
1426,
59320,
73,
10415,
72,
35210,
6607,
1669,
4532,
1504,
5,
1670,
1436,
1426,
4925,
72,
1861,
8661,
12028,
1389,
10955,
1669,
59320,
73,
64,
3236,
4532,
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5,
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1535,
1565,
2652,
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59320,
64,
4925,
72,
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8935,
5,
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1535,
1436,
1426,
5630,
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59320,
73,
64,
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4276,
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72,
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8661,
12028,
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73,
64,
3236,
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2652,
59535,
59320,
64,
2652,
17377,
72,
1861,
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72,
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5,
5,
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45211,
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64,
2652,
59535,
63,
11411,
72,
1861,
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1389,
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72,
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5,
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5,
5,
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1426,
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1861,
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64,
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72,
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1786,
64,
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59344,
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1504,
4038,
27705,
44854,
73,
5,
1395,
1535,
10415,
72,
54173,
8935,
5,
1395,
1535,
2520,
59320,
64,
1496,
54173,
16703,
5,
1670,
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5,
1535,
59369,
5,
5,
1535,
4614,
59348,
13954,
59342,
4925,
59342,
2652,
17377,
59342,
2563,
45211,
3358,
5,
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1566,
8403,
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11411,
72,
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32653,
5306,
3516,
3358,
5,
5,
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62,
62,
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5,
1535,
5630,
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5,
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5,
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5,
5,
1354,
1968,
3065,
2279,
1669,
1504,
5,
1395,
17879,
72,
1686,
1832,
2280,
1812,
1364,
59336,
1622,
1442,
1489,
72,
1439,
59359,
16261,
5,
5,
1395,
4998,
1504,
5,
1535,
13518,
56459,
6582,
40935,
8935,
5,
5,
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23235,
36184,
3057,
51337,
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59426,
1591,
12175,
30120,
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5,
5,
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8935,
5,
5,
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7268,
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3988,
1401,
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1504,
5,
1535,
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72,
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8935,
5,
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5,
1354,
59369,
5,
5,
1354,
1968,
3065,
4976,
1669,
1504,
5,
1395,
17879,
72,
7091,
8935,
5,
1354,
59369,
5,
59369,
5,
2
] |
<s> package de.alpacaGamePlayer;
import org.openqa.selenium.*;
import org.openqa.selenium.Point;
import org.openqa.selenium.interactions.Actions;
import org.openqa.selenium.support.ui.WebDriverWait;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.Base64;
import java.util.Date;
public class Game {
final WebDriver browser;
WebElement canvas;
Player player;
public Game(WebDriver browser) {
this.browser = browser;
}
private BufferedImage getCanvasImage(WebElement canvas) throws IOException {
var dataURL = (String)((JavascriptExecutor)browser).executeScript("return arguments[0].playerData;", canvas);
try (ByteArrayInputStream in = new ByteArrayInputStream(Base64.getDecoder().decode(dataURL.substring(22)))) {
return ImageIO.read(in);
}
}
private void save(BufferedImage image, String action) throws IOException {
File s = new File("screens/screen"+ (new SimpleDateFormat("HHmmssSSS")).format(new Date()) +"_" + action + ".png");
ImageIO.write(image, "png", s);
}
private boolean isInit(BufferedImage screen) {
int w = screen.getWidth();
int h = screen.getHeight();
for ( int x = 50; x < w; x++ ) {
for (int y = 0; y < h; y++) {
if (screen.getRGB(x, y) > 0xff000000) return true;
}
}
return false;
}
private void waitUntilPageLoaded() {
var wait = new WebDriverWait(browser, 20);
wait.until(
webDriver -> ((JavascriptExecutor) webDriver).executeScript("return document.readyState").equals("complete"));
}
private void injectCanvasDataCollector( JavascriptExecutor javascriptExecutor ) {
javascriptExecutor.executeScript("""
function saveCanvasData() {
let canvasElem = document.getElementsByTagName('canvas')[0];
canvasElem.playerData = canvasElem.toDataURL('image/png');
window.requestAnimationFrame(saveCanvasData);
}
window.requestAnimationFrame(saveCanvasData);
""");
}
private void info(int loopNumber, Screen curScreen, Screen lastScreen, int madeWay) {
long sinceLastTime = 0;
if ( lastScreen != null ) sinceLastTime = curScreen.getCreationTime()-lastScreen.getCreationTime();
System.out.println("Loop " + loopNumber + ", Time passed: " + sinceLastTime + ", Alpaca: " + curScreen.findAlpaca().y + ", Obstacle way " + madeWay);
}
private void loop() throws Exception {
int loop = 0;
Point obstacle = null;
Screen lastScreen = null;
int madeWay = 0;
while ( loop < 2000 ) {
var screen = new Screen(getCanvasImage(canvas));
String action = null;
player.resetAction();
var playButton = screen.findPlayButton();
if (playButton != null) {
player.clickAt(playButton.getX(), playButton.getY(), screen.getWidth(), screen.getHeight());
action = "clickStart";
}
if ( !player.hadAction() && screen.hasCallCloseButton() ) {
Point p = screen.findCallCloseButton();
if ( screen.farthestObstacle() != null && screen.farthestObstacle().x > 1000) {
// Wait
}
else {
player.clickAt(p.x, p.y, screen.getWidth(), screen.getHeight());
action = "clickCall";
}
}
if ( !player.hadAction() ) {
if ( screen.nearestObstacle() != null ) {
int lastX = screen.getWidth();
if (lastScreen != null && lastScreen.nearestObstacle() != null) lastX = lastScreen.nearestObstacle().x;
madeWay = lastX-screen.nearestObstacle().x;
}
if ( screen.nearestObstacle() != null && screen.nearestObstacle().x <= 900) { // Close obstacle!
player.jump();
action = "jump";
}
}
info(loop, screen, lastScreen, madeWay);
//save(screen.getImg(), action);
loop++;
lastScreen = screen;
}
}
public void start() {
browser.get("https://alpakagame.ch/");
try {
waitUntilPageLoaded();
injectCanvasDataCollector((JavascriptExecutor) browser);
canvas = browser.findElement(By.tagName("canvas"));
player = new Player(browser, canvas);
while (!isInit(getCanvasImage(canvas))) {
Thread.sleep(100);
}
loop();
} catch (Exception e) {
e.printStackTrace();
}
}
public void stop() {
browser.close();
}
}
</s>
|
[
1,
1496,
59355,
1891,
13469,
15374,
1421,
13431,
63,
29892,
3211,
25053,
10004,
1421,
2319,
5425,
1384,
16603,
14023,
72,
1417,
1891,
7388,
7298,
1377,
17641,
1457,
9690,
7068,
1450,
1348,
26936,
1508,
1645,
2081,
32003,
72,
1417,
1580,
5501,
4572,
1972,
6147,
1609,
1655,
1611,
1508,
1690,
1611,
59342,
1696,
1417,
1952,
14612,
13693,
1842,
4123,
9696,
1432,
1536,
6094,
72,
9295,
1449,
73,
59354,
5,
5,
59354,
6460,
1745,
27526,
1385,
3575,
2636,
6674,
1385,
1745,
59361,
59328,
3211,
25053,
1510,
1348,
16603,
59342,
1467,
1358,
5065,
13405,
1410,
14671,
7068,
72,
16316,
1457,
1449,
1982,
1441,
28479,
1421,
10115,
15478,
59342,
4022,
1377,
12570,
1379,
4746,
4680,
59342,
1476,
1410,
30621,
1385,
30909,
1851,
3211,
25053,
1457,
5608,
1421,
25063,
59342,
13290,
63,
7226,
48584,
72,
4162,
4756,
16603,
3211,
25053,
1379,
6344,
1410,
1348,
7422,
1379,
11325,
1690,
1611,
51875,
1870,
72,
59354,
5,
5,
59354,
2747,
1484,
14023,
59342,
7388,
2608,
9420,
1432,
10990,
13431,
4264,
59342,
1982,
1580,
18647,
9197,
13649,
59342,
1696,
15339,
59342,
1358,
3211,
25053,
27526,
1385,
4356,
3249,
48159,
1467,
1358,
4975,
6395,
1359,
72,
11908,
1887,
1410,
1348,
3077,
4351,
15362,
59342,
2213,
1467,
1377,
2676,
59338,
1797,
4413,
59342,
1348,
7422,
1379,
4065,
59342,
1645,
63,
14409,
28078,
7873,
1972,
11325,
45254,
1408,
1431,
59329,
1698,
1508,
1690,
1611,
2147,
5417,
1613,
72,
59354,
5,
5,
59354,
2153,
1358,
2164,
59342,
1476,
1410,
20411,
1597,
1385,
2690,
1421,
1348,
7422,
1379,
2119,
63,
59341,
2355,
59342,
11232,
17641,
1457,
1449,
4079,
59361,
59323,
5365,
12006,
41324,
72,
16316,
1358,
4781,
32120,
1379,
46497,
1377,
1348,
18649,
59342,
1615,
3211,
25053,
1982,
1573,
1441,
1467,
13626,
59342,
1384,
1887,
1410,
1348,
3816,
1379,
2054,
2560,
35380,
1432,
1508,
10444,
1733,
9910,
1377,
1348,
29472,
1508,
31198,
8235,
16603,
3787,
72,
1417,
19211,
5984,
1348,
7422,
1379,
3233,
59342,
2119,
63,
1685,
2550,
1868,
35760,
1457,
9502,
1348,
15251,
10796,
1525,
1348,
6254,
59342,
10453,
1766,
26457,
5120,
72,
59354,
2
] |
<s> "I am seeking recommendations for dance-appropriate footwear suitable for both club and festival environments. I am particularly interested in shoes that balance comfort with a stylish or alluring aesthetic. I have considered options like Air Jordans or Vans, but I would greatly appreciate any further advice on this matter. Thank you!"
"No one tends to pay much attention to one's footwear at a festival, as the primary concern is indeed comfort. Given that you may be dancing for extended periods, often in excess of six hours, it is wise to prioritize footwear that allows for prolonged, worry-free enjoyment. My personal festival footwear of choice is a pair of classic Vans Authentics."
"Club environments, particularly those focused on electronic dance music, may have varying dress codes, but ultimately, the footwear tends to become less noticeable as the night progresses. Unless there is a specific color requirement, such as in dayglow events, a pair of simple, all-black sneakers like classic Chuck Taylors or Vans should suffice."
"In the end, it is advisable to opt for a pair of well-worn, reliable shoes that you won't mind potentially damaging. Given the close proximity of dancers in a crowd, your footwear may not be as visible, and there is a risk of them being stepped on or becoming soiled in a dirty or muddy festival environment. I personally favor a pair of old, well-loved iPaths that maintain a reasonable appearance from a distance, despite their worn condition."</s>
|
[
1,
2653,
2793,
1786,
10751,
59359,
21000,
62,
62,
72,
59331,
59388,
5,
5,
2631,
6468,
4805,
59375,
5,
5,
1565,
2357,
35621,
5,
6,
1565,
1397,
59342,
59343,
59375,
5,
6,
4180,
5970,
1397,
59375,
5,
6,
7573,
59396,
1565,
59388,
32577,
59348,
59322,
1743,
1611,
59375,
5,
6,
1567,
59348,
1565,
1868,
64,
59344,
59375,
59325,
59396,
59322,
59375,
59325,
62,
62,
15276,
5,
6,
6,
4180,
5970,
32577,
59399,
59325,
10460,
5,
6,
59369,
5,
6,
1565,
1608,
64,
59344,
59375,
5,
6,
1565,
1662,
64,
59344,
59375,
5,
6,
8969,
1369,
64,
59344,
59375,
5,
6,
1565,
1368,
59342,
59321,
59375,
5,
6,
1567,
59348,
1565,
1868,
64,
59344,
59375,
59325,
59396,
59322,
59375,
59325,
62,
62,
15276,
5,
6,
6,
1436,
59348,
1986,
59399,
59325,
59400,
64,
64,
59345,
15276,
5,
6,
6,
6,
2103,
62,
62,
59375,
5,
6,
6,
59369,
5,
6,
6,
2482,
59368,
5,
6,
6,
6,
1470,
64,
3765,
59348,
1470,
59342,
2103,
3358,
5,
6,
6,
6,
1611,
72,
6798,
59360,
2553,
59348,
2103,
3358,
5,
6,
6,
6,
2103,
64,
59344,
59375,
5,
6,
6,
59369,
5,
6,
59369,
5,
6,
1470,
64,
3765,
59348,
1470,
59342,
2103,
3358,
5,
6,
1611,
72,
6798,
59360,
2553,
59348,
2103,
3358,
5,
6,
1436,
59348,
1611,
72,
3297,
1669,
59388,
59345,
59347,
1470,
64,
3765,
59348,
1470,
59342,
1611,
59399,
1611,
72,
3297,
1669,
63,
59345,
59400,
62,
1611,
59399,
59344,
39800,
5,
5,
6,
7701,
4261,
1608,
4261,
15129,
59375,
5,
6,
1720,
59320,
59344,
59375,
5,
59369,
5,
2
] |
<s> #include <bits/stdc++.h>
using namespace std;
int main(){
int n,v;
cin >> n;
vector<int> ns(n),ans;
for(int i=0;i<n;i++){
cin >> ns[i];
}
int res=0;
int cont=0;
bool p=0;
int f,e;
for(int i=0;i<n;i++){
if(ns[i]==1){
cont++;
}
else{
res=max(res,cont);
ans.push_back(cont);
cont=0;
}
}
res=max(res,cont);
ans.push_back(cont);
if(ans.size()>1)res=max(res,ans[ans.size()-1]+ans[0]);
cout << res << endl;
return 0;
}
</s>
|
[
1,
2655,
6726,
2292,
4232,
1959,
6140,
16654,
59328,
74,
5,
5,
57536,
8179,
1410,
1458,
1645,
63,
18132,
1789,
1379,
25002,
1959,
1715,
5659,
1384,
7758,
1348,
2834,
72,
1826,
1410,
1358,
2361,
1379,
3897,
4151,
1450,
3543,
5659,
1697,
9337,
1385,
14580,
1384,
15339,
7153,
72,
3519,
59342,
1887,
1502,
2302,
4246,
1377,
1980,
1449,
1571,
7514,
9337,
72,
2
] |
<s> How Are You Generating Your Leads?
Lead generation is an all-important part of cultivating new customers and growing a business. It is the process of making contact with potential customers which leads to awareness and ultimately sales. However, there are many methods in how you can generate leads.</s>
|
[
1,
7175,
34438,
1839,
59320,
64,
3069,
2249,
5636,
1349,
1839,
45083,
5,
2643,
39690,
59320,
64,
3069,
2249,
40542,
45083,
5,
5,
40542,
72,
1686,
2249,
1925,
1812,
2416,
72,
15509,
72,
1547,
72,
10768,
59359,
2416,
59359,
5058,
59359,
8521,
59359,
59362,
59359,
2088,
59359,
59338,
59393,
59359,
59393,
2396,
59359,
59366,
59344,
59362,
59458,
59349,
6781,
59344,
59362,
59359,
59333,
59359,
59345,
59359,
8867,
59359,
59367,
5589,
5,
1345,
72,
7713,
59348,
3744,
1426,
5570,
59347,
1504,
5,
1354,
1566,
12293,
72,
2058,
59348,
5570,
3358,
5,
1354,
1967,
1538,
59320,
64,
34438,
1839,
72,
2386,
59348,
5570,
72,
2282,
3358,
5,
1354,
1967,
1740,
59320,
64,
1538,
41309,
2416,
2969,
17225,
1813,
59358,
6513,
63,
2382,
63,
2464,
1348,
5589,
72,
7795,
1669,
72,
16700,
59375,
5,
1354,
1967,
2035,
59320,
64,
1345,
17217,
59360,
3576,
59360,
3967,
59348,
1683,
3358,
5,
1345,
3630,
5,
1345,
72,
14715,
59348,
3744,
1426,
3826,
59347,
1504,
5,
1354,
1566,
12293,
72,
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let $ = cheerio.load(response.data);
let str = $('#searchlist ul li:first-of-type a').attr().href;
let result = detail_api_result(str);
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var detail_api_result = function (api){
const xx = "hi";
axios.get(api)
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5,
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2
] |
<s> using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Amazon.DynamoDBv2;
using Amazon.DynamoDBv2.DataModel;
using Amazon.DynamoDBv2.DocumentModel;
using IdentityServer4.Contrib.DynamoDB.Extensions;
using IdentityServer4.Models;
using IdentityServer4.Stores;
using Microsoft.Extensions.Logging;
namespace IdentityServer4.Contrib.DynamoDB.Stores
{
public class PersistedGrantStore : IPersistedGrantStore
{
protected readonly IAmazonDynamoDB dynamoDBClient;
protected readonly DynamoDBOptions dynamoDBOptions;
protected readonly ILogger<PersistedGrantStore> logger;
public PersistedGrantStore(IAmazonDynamoDB dynamoDBClient, DynamoDBOptions dynamoDBOptions, ILogger<PersistedGrantStore> logger)
{
this.dynamoDBClient = dynamoDBClient ?? throw new ArgumentNullException(nameof(dynamoDBClient));
this.dynamoDBOptions = dynamoDBOptions ?? throw new ArgumentNullException(nameof(dynamoDBOptions));
this.logger = logger;
}
public virtual async Task StoreAsync(PersistedGrant grant)
{
try
{
var _grant = Models.Mapper.ToPersistedGrantModel(grant);
using (var dBContext = new DynamoDBContext(dynamoDBClient, dynamoDBOptions.DynamoDBContextConfig))
{
await dBContext.SaveAsync(_grant);
}
logger.LogInformation("grant for subject {subjectId}, clientId {clientId}, grantType {grantType} and sessionId {session} persisted successfully", grant.SubjectId, grant.ClientId, grant.Type, grant.SessionId);
}
catch (Exception ex)
{
logger.LogError(ex, "exception storing persisted grant to DynamoDB database for subject {subjectId}, clientId {clientId}, grantType {grantType} and session {sessionId}", grant.SubjectId, grant.ClientId, grant.Type, grant.SessionId);
throw;
}
}
public virtual async Task<PersistedGrant> GetAsync(string key)
{
try
{
using (var dBContext = new DynamoDBContext(dynamoDBClient, dynamoDBOptions.DynamoDBContextConfig))
{
var grant = await dBContext.LoadAsync<Models.PersistedGrant>(key);
logger.LogInformation("{key} found in database: {hasValue}", key, grant != null);
if (grant is null)
return null;
var result = Models.Mapper.ToPersistedGrant(grant);
return result;
}
}
catch (Exception ex)
{
logger.LogError(ex, "exception retrieving grant for key {key}", key);
throw;
}
}
public virtual async Task<IEnumerable<PersistedGrant>> GetAllAsync(PersistedGrantFilter filter)
{
try
{
var conditions = new List<ScanCondition>();
if (!string.IsNullOrEmpty(filter.SubjectId))
conditions.Add(new ScanCondition(nameof(filter.SubjectId), ScanOperator.Equal, filter.SubjectId));
if (!string.IsNullOrEmpty(filter.ClientId))
conditions.Add(new ScanCondition(nameof(filter.ClientId), ScanOperator.Equal, filter.ClientId));
if (!string.IsNullOrEmpty(filter.SessionId))
conditions.Add(new ScanCondition(nameof(filter.SessionId), ScanOperator.Equal, filter.SessionId));
if (!string.IsNullOrEmpty(filter.Type))
conditions.Add(new ScanCondition(nameof(filter.Type), ScanOperator.Equal, filter.Type));
using (var dBContext = new DynamoDBContext(dynamoDBClient, dynamoDBOptions.DynamoDBContextConfig))
{
var result = await dBContext.ScanAsync<Models.PersistedGrant>(conditions).GetRemainingAsync();
logger.LogInformation("{grantsCount} persisted grants found for {subjectId}", result.Count(), filter.SubjectId);
return result.Select(Models.Mapper.ToPersistedGrant);
}
}
catch (Exception ex)
{
logger.LogError(ex, "exception while retrieving grants");
throw;
}
}
public virtual async Task RemoveAsync(string key)
{
try
{
using (var dBContext = new DynamoDBContext(dynamoDBClient, dynamoDBOptions.DynamoDBContextConfig))
{
logger.LogInformation("removing {key} persisted grant from DynamoDB database", key);
await dBContext.DeleteAsync<Models.PersistedGrant>(key);
}
}
catch (Exception ex)
{
logger.LogError(ex, "exception removing {key} persisted grant from database", key);
throw;
}
}
public virtual async Task RemoveAllAsync(PersistedGrantFilter filter)
{
try
{
var conditions = new List<ScanCondition>();
if (!string.IsNullOrEmpty(filter.SubjectId))
conditions.Add(new ScanCondition(nameof(filter.SubjectId), ScanOperator.Equal, filter.SubjectId));
if (!string.IsNullOrEmpty(filter.ClientId))
conditions.Add(new ScanCondition(nameof(filter.ClientId), ScanOperator.Equal, filter.ClientId));
if (!string.IsNullOrEmpty(filter.SessionId))
conditions.Add(new ScanCondition(nameof(filter.SessionId), ScanOperator.Equal, filter.SessionId));
if (!string.IsNullOrEmpty(filter.Type))
conditions.Add(new ScanCondition(nameof(filter.Type), ScanOperator.Equal, filter.Type));
var data = new List<PersistedGrant>();
using (var dBContext = new DynamoDBContext(dynamoDBClient, dynamoDBOptions.DynamoDBContextConfig))
{
var result = await dBContext.ScanAsync<Models.PersistedGrant>(conditions).GetRemainingAsync();
logger.LogInformation("removing {grantKeysCount} persisted grants from DynamoDB database for subject {subjectId}, clientId {clientId}, grantType {type} and session {session}", result.Count(), filter.SubjectId, filter.ClientId, filter.Type, filter.SessionId);
foreach (var grant in result)
await dBContext.DeleteAsync<Models.PersistedGrant>(grant);
}
}
catch (Exception ex)
{
logger.LogError(ex, "exception removing persisted grants from database for subject {subjectId}, clientId {clientId}, grantType {type} and session {session}", filter.SubjectId, filter.ClientId, filter.Type, filter.SessionId);
throw;
}
}
}
}</s>
|
[
1,
8621,
9494,
3923,
2655,
2
] |
<s> IT Management needs How</s>
|
[
1,
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Exchange-Traded Funds (ETFs), in existence for approximately two decades, share similarities with mutual funds. Both investment vehicles aggregate investors' assets, employing professional managers to achieve specific goals, such as generating current income or capital growth. However, ETFs differentiate themselves by being traded like stocks, offering investors access to market, limit, stop orders, and margin trading, which are unavailable for mutual funds.
What constitutes an ETF?
An ETF's creation involves an institutional investor depositing securities into a fund in exchange for shares. Once these shares are acquired, they can be traded and priced throughout the day on a stock exchange. Unlike direct purchases from the fund, individuals acquire ETF shares on the stock exchange, mirroring the process of buying stock shares.
Characteristics of ETFs:
- No sales loads, although brokerage commissions apply
- Intra-day trading, unlike mutual funds which can only be redeemed at the close of the day
- Margin trading capability (not available for mutual funds)
- Short selling opportunity (not available for mutual funds)
- Relatively low management fees, typically ranging from 0.15% to 1.0%
- Immediate exposure to a diversified portfolio of stocks
ETF Tax Advantage Over Mutual Funds
Due to their structure, ETFs offer a tax advantage not available to mutual funds. When mutual funds are redeemed, they sell securities to cover cash payments to investors, generating capital gains taxed to the mutual fund investors.
In the realm of Exchange-Traded Funds (ETFs), investors who wish to redeem their shares do not receive cash, but rather the underlying securities that the ETF has invested in. This process circumvents the need for the ETF to sell securities to cover redemptions, thereby avoiding the generation of capital gains. When ETF investors desire to liquidate their holdings, they simply sell the ETF's shares on a stock exchange.
ETFs can indeed invest in commodities, although they are subject to specific regulations. Precious Metal ETFs structured as Grantor Trusts may be treated as direct investments in collectibles, which are taxed at a higher rate of 28%. Furthermore, collectibles are generally ineligible for IRA investments. If an IRA invests in certain precious metals, the investment is considered a taxable distribution, potentially subject to a 10% penalty.
Foreign Currency ETFs, also organized as Grantor Trusts, typically experience foreign currency gains or losses treated as ordinary income. Thus, the favorable capital gains tax rates do not apply.
For queries regarding the application of these rules to your specific situation, please do not hesitate to contact us at 248-538-5331.
Regarding early distributions from retirement plans, such as qualified plans and IRAs, prior to reaching the age of 59½, a 10% penalty applies, in addition to federal, state, and local income taxes. However, certain exceptions may alleviate this penalty, though income taxes on the distribution remain liable. The exceptions vary, with some applying to both qualified plans and IRAs, some exclusive to qualified plans, and others exclusive to IRAs.
Exceptions to the 10% Early Withdrawal Penalty for Both Qualified Plans and IRAs:
- Distributions made on or after the account owner's demise
- Distributions attributable to the account owner's disablement
Periodic payments, forming a sequence of largely equivalent installments (an annuity), structured for the lifetime of the account holder or jointly for the holder and a designated beneficiary, can exempt the account holder from the 10% premature withdrawal penalty. This exemption applies when the retirement account is annuitized, with the annuity's duration determined by the account holder's life expectancy, but not exceeding the later of five years post-annuity initiation or the holder's attainment of age 59½. This exception, however, only applies post-separation from service for qualified plans.
Medical expenses exceeding 10% of Adjusted Gross Income (AGI) (7.5% for seniors through 2016) can also exempt distributions equal to the excess from the penalty, provided the account holder incurred these expenses in the same year.
An IRS levy directly on the retirement account, resulting in a distribution, is also exempt from the penalty. This exception does not extend to distributions taken by the account holder to settle IRS balances; the IRS must directly seize the account.
Reservists (Army National Guard, Army Reserve, etc.) ordered or called to active duty for over 179 days or an indefinite period can also qualify for penalty-free distributions. These distributions must occur between the date of the order or call and the end of the active duty period.
Lastly, the 10% early withdrawal penalty exceptions for only qualified plans include distributions made to an employee post-separation from service upon reaching age 55.
This caveat only holds true when the account proprietor leaves the service (voluntarily or involuntarily) after attaining the age of 55. For instance, it would not apply if an employee leaves at 54 and subsequently receives a distribution upon turning 55. In the event of a divorce, qualified plans can be divided, with the spouse receiving distributions without incurring the 10% penalty, although the original account owner may still be subject to it.
Exceptions to the 10% Early Withdrawal Penalty for IRAs include:
- First-time homebuyers, up to a limit of $10,000. Notably, 'first-time' here refers to not owning a principal residence in the two years preceding the new home purchase.
- Payment of higher education expenses.
- Coverage of medical insurance premiums for those who have received federal or state unemployment benefits for at least 12 consecutive weeks. Under this rule, the 10% of Adjusted Gross Income (AGI) limitation is waived.
Should you have queries regarding the application of these exceptions to your personal circumstances, please do not hesitate to contact us at 248-538-5331.
In 2006, the IRS significantly revised its whistleblower award program, transforming it from a discretionary system to one where awards are mandatory upon meeting certain criteria.
The federal government's whistleblower initiative, particularly under the False Claims Act, demonstrated notable success. Between 1986 and 2006, whistleblower claims amassed approximately $42 billion, significantly outpacing the $340 million collected by the IRS whistleblower program between 2001 and 2005, when adjusted for the difference in measurement periods. In response to this disparity, Congress elected to overhaul the IRS whistleblower program in 2006.
The revamped IRS Whistleblower Award Program introduced several key provisions:
- Mandatory awards for whistleblowers, replacing the previous discretionary system.
- A defined range for rewards, with a minimum of 15% and a maximum of 30% of the government's revenue, with no upper limit on the whistleblower's reward.
- The right for whistleblowers to appeal award decisions to the Tax Court.
- The establishment of a dedicated whistleblower office within the IRS, reporting directly to the Commissioner.
This program targets disputes involving more than $2 million, with an additional threshold of $200,000 in gross income for individual targets. The focus is evidently on pursuing larger-scale tax evasion cases.
To initiate a claim, whistleblowers submit information to the IRS using Form 211, ideally at the earliest opportunity. Failure to file this form before the IRS takes action may result in the whistleblower's ineligibility for a reward.
The submission process mandates that whistleblowers provide specific details about the target, including their name, residential address, and, if known, their date of birth and taxpayer identification number. A comprehensive claim necessitates a detailed account of the facts, identification of key individuals involved, a clear explanation of the relevant tax laws, and a description of the supporting documentation along with its current custodian.
The IRS safeguards the whistleblower's identity, but this protection is not foolproof. In practice, the IRS collaborates closely with the whistleblower regarding potential disclosure of their identity and strives to avoid such disclosure unless it is deemed absolutely necessary, such as in the case of a grand jury proceeding.
A robust claim typically revolves around ongoing or recent tax issues and does not extend to years that have been closed under the statute of limitations.
Patience is indeed a virtue in such cases, as the process of pursuing a whistleblower claim is lengthy and involves several stages, including review, examination, taxpayer response, and appeals. It may take several years before the process is complete and the whistleblower receives an award.
Employers are well-versed with the requirement for new employees to fill out a Form W4 to determine the appropriate tax withholdings from their paycheck. However, they should also be aware of other forms that new employees must complete to avoid potential penalties. This post will delve into one such form.
Form I-9 is a mandatory document used to verify the identity and employment authorization of each new employee, regardless of their citizenship status. Employers are responsible for completing this form and maintaining it for their records.
Upon commencing employment, new recruits are obligated to complete and sign Section 1 of the designated form, affirming their citizenship or residency status under oath. The employer, in turn, must acquire documents verifying the employee's identity and authorization to work in the United States. A driver's license and Social Security Card are commonly accepted, but other valid forms of documentation may be presented.
Pursuant to federal law, employers are mandated to report newly hired or rehired employees' information to a state agency within 20 days of hire or rehire. This data is cross-referenced with state and national records to facilitate child support enforcement via income withholding and to prevent fraudulent unemployment and workers' compensation claims. This reporting requirement was implemented two years ago and is detailed here.
Under the Fair Labor Standards Act, employers with at least one employee engaged in commerce and gross annual sales exceeding $500,000 must provide each employee (both part-time and full-time) with a notice outlining their right to enroll in health insurance coverage through a state exchange. Given these criteria, a substantial number of employers are subject to this requirement.
The Department of Labor offers two model forms for employers to distribute to their employees. Employers who already offer health coverage should use this model, while those who do not should use the alternative.
Lastly, employees fill out Form W-4 to enable their employers to calculate the appropriate amount of estimated tax to withhold from their paychecks. If an employee's state income tax allowances differ from those claimed on the federal Form W-4, they may complete a Form MI-W4 to specify a different number of allowances for state income tax purposes.</s>
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<s> Hey, Church in Society, 'No Graven Image' Still Applies!
Do churches believe the Bible is God's truth in written form? If the answer to this question is "Yes", then why are so many churches willing to abandon the ONLY transforming power they possess? For what crock of lentils is Esau so quick to part with his birthrite? If the answer is "No" or "Not completely", then why call themselves a church and bother to meet at all? You can get pancakes and baked beans anywhere.
Many churches seem to have forgotten the first of the Ten Commandments, and since the Nones and their cohorts the Liberals seem hell-bent on expunging them from every public place, here's a refresher on the first two.
"I am the Lord your God. You shall have NO other gods before me." The term "other gods" applies to anything that supplants or takes precedence over Him and His truth. The second commandment is just as unambiguous.
"You shall make no graven image or other likenesses to worship." This is the commandment upon which many churches have drifted away from orthodoxy, to their detriment and likely damnation.
They have willingly elevated such cultural icons as "tolerance" or other trendy terms that please the pop culture in place of holiness and other aspects of God's character they find offensive or difficult. "Tolerance" is just as false a god as a golden calf …. and no less ridiculous. When a church or "Christian" decides which of God's attributes are or are not "acceptable", they have replaced Him with something manufactured. When that happens, scripture is clear that the presence and power of God will depart, leaving the cultural collaborators to their idolatry. There is no transforming power contained in shallow doctrine full of sickening platitudes and cohabitation with sin.
The sad part is that many churches have so marginalized and watered down God that they are completely unaware of His departure. Pass the tolerance and smugness, please.
As Reno points out, "The Church did not need constitutional protections in order to take root in a hostile pagan culture two thousand years ago." We will overcome and persevere, as long as we hold fast to the truth that has transformed us. The Church will prevail if it refuses to abandon God's truth. It has the real power to perform extreme makeovers, one soul at time.
Nathan Clark is a conservative commentator who resides with his wife in New Hampshire. He is passionate about preserving the vision of our nation's Founders and advancing those tried and true principles deep into America's future. His interests range broadly from flyfishing, cooking and shooting to pro sports, gardening, live music and fine-scale modeling.</s>
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59354,
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47023,
12364,
73,
73,
9617,
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13412,
1804,
2420,
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13727,
72,
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3628,
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2303,
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9429,
2420,
27013,
72,
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1419,
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72,
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5066,
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72,
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9429,
2420,
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2110,
1649,
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13727,
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2110,
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6380,
72,
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1835,
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74,
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15737,
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1697,
1571,
1441,
27295,
1796,
1745,
2373,
1573,
3575,
6674,
1385,
1980,
1828,
1502,
5336,
1508,
31091,
72,
30010,
11545,
1409,
13019,
18250,
1385,
37780,
12067,
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3569,
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2902,
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1508,
1377,
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41149,
5212,
1639,
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1384,
21517,
1358,
4290,
59342,
10649,
1951,
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3848,
7639,
3986,
72,
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2270,
23587,
1479,
2190,
1538,
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72,
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13320,
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7760,
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9072,
72,
1826,
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1933,
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3036,
4960,
47023,
72,
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1385,
2376,
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5066,
1384,
20282,
8983,
1358,
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1379,
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1469,
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15066,
31506,
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31506,
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2067,
1358,
2554,
58840,
1510,
1358,
2164,
1379,
1358,
9400,
1385,
2198,
1980,
2636,
1828,
1580,
53477,
72,
4612,
1615,
5090,
31506,
2954,
72,
1507,
41457,
1502,
7824,
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59344,
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3650,
12834,
1384,
1348,
2558,
36696,
47023,
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1745,
59361,
59328,
3795,
1384,
1377,
1358,
3547,
1379,
1358,
21047,
72,
1874,
1580,
59320,
59345,
59342,
59345,
59344,
59384,
59342,
59373,
59384,
59381,
7141,
1432,
1807,
4494,
3303,
72,
47023,
2270,
23587,
31257,
72,
16125,
59342,
1348,
3515,
2197,
2037,
1653,
59342,
1696,
16313,
1476,
1842,
2857,
72,
24370,
29762,
1358,
47023,
2270,
23587,
7086,
1358,
3233,
2076,
4432,
1523,
5336,
1377,
47023,
59342,
1449,
1571,
1580,
1615,
3322,
5485,
5012,
1358,
8276,
72,
17856,
1738,
11251,
59358,
1420,
47023,
2270,
23587,
7631,
2522,
25384,
59358,
47023,
12364,
14788,
7631,
2522,
26267,
1532,
57958,
59320,
59345,
59320,
63,
59320,
59362,
59358,
24031,
1371,
8310,
1646,
10575,
59358,
35508,
2522,
17930,
46943,
3867,
14161,
1490,
1556,
59320,
59344,
72,
5285,
3640,
1379,
1496,
24191,
1379,
1358,
47023,
9072,
9014,
59331,
59354,
1507,
59320,
59345,
59387,
1440,
9072,
1379,
1358,
47023,
31506,
1410,
22188,
59389,
72,
1900,
3299,
1601,
1441,
1348,
2471,
6344,
1421,
1449,
7932,
1385,
4637,
2054,
1474,
1738,
1456,
2379,
72,
47023,
4157,
36486,
1358,
17568,
1783,
3322,
1357,
4960,
3621,
1544,
20584,
4157,
36486,
1421,
48989,
2849,
4294,
3398,
58840,
41331,
1544,
20584,
6125,
4157,
36486,
4960,
1980,
1385,
72,
53644,
1476,
1645,
3985,
1410,
2940,
1385,
3328,
11761,
1421,
3058,
13988,
47023,
2270,
23587,
42698,
1930,
8334,
24440,
1525,
2572,
10209,
1378,
72,
1507,
3141,
14215,
47202,
1410,
1348,
3825,
2487,
1379,
35452,
29494,
17451,
47202,
9036,
1520,
5254,
1358,
31506,
1426,
1355,
1628,
59392,
1422,
59342,
46398,
1456,
1629,
59342,
5200,
72,
15066,
8138,
1410,
59320,
63,
1348,
9866,
1508,
26197,
1516,
1379,
15626,
1508,
6430,
22485,
72,
1480,
10541,
1439,
1483,
1998,
72,
1874,
1580,
4526,
14788,
59389,
3215,
4978,
72,
17856,
1738,
1432,
1932,
2701,
74,
1826,
1649,
1919,
6380,
1510,
1645,
73,
17148,
1358,
3005,
2822,
12470,
72,
7101,
1421,
5519,
20931,
72,
2758,
15343,
41799,
47023,
2270,
23587,
41102,
59358,
11858,
72,
5110,
26421,
19258,
3934,
2024,
3650,
1502,
8500,
1835,
24203,
47023,
59354,
14417,
1358,
10910,
72,
17930,
33199,
1550,
72,
7717,
59320,
59373,
59342,
59320,
59349,
59344,
59345,
59362,
59320,
63,
21179,
1358,
47023,
41102,
1930,
1358,
47023,
2270,
23587,
1377,
1536,
2849,
3734,
16345,
1450,
31506,
10271,
1384,
8966,
1421,
4960,
47023,
72,
4406,
1385,
2404,
10434,
2969,
72,
10534,
4446,
2367,
7932,
51781,
72,
3046,
1696,
1377,
1863,
4756,
13339,
1536,
31506,
1410,
3375,
1457,
1842,
34763,
20311,
2787,
2147,
2127,
72,
12428,
1432,
2744,
63,
1574,
10574,
1508,
4294,
10574,
1385,
58840,
1385,
4294,
1508,
5740,
72,
55216,
5434,
2638,
1358,
14776,
9137,
1503,
1465,
72,
1507,
9072,
1408,
59398,
1422,
2371,
1410,
1745,
1379,
1358,
2025,
9307,
1385,
1580,
1348,
1496,
59336,
5352,
59354,
1385,
5624,
22959,
25569,
1377,
72,
1480,
2426,
3734,
3884,
1457,
1601,
2111,
1449,
2279,
6125,
47023,
1377,
2042,
59320,
59349,
4680,
72,
1900,
1410,
1348,
9986,
1496,
2741,
59354,
3058,
59342,
3220,
2237,
1385,
1358,
59320,
59345,
59387,
1440,
7787,
4932,
1385,
24222,
72,
1417,
1952,
6613,
1385,
13512,
6461,
1872,
9451,
1385,
4338,
47023,
72,
5611,
1751,
1358,
17880,
1622,
5031,
13325,
1379,
1536,
3303,
72,
6717,
16145,
1597,
35903,
42716,
25994,
2522,
25384,
5082,
8271,
42716,
25994,
3491,
59320,
59349,
59349,
1372,
59320,
59349,
59344,
59345,
59370,
13055,
2379,
59342,
1358,
23290,
46511,
8072,
1457,
19892,
1358,
7739,
1502,
9618,
5602,
1450,
7932,
1467,
1348,
26254,
3399,
4174,
72,
1507,
47023,
17856,
1738,
14699,
72,
21179,
59320,
59362,
59344,
62,
13312,
3734,
1450,
31768,
63,
3297,
17865,
2786,
1432,
7517,
72,
11152,
1449,
4338,
1358,
47023,
31506,
59342,
1449,
1571,
4848,
1385,
2376,
1358,
72,
21179,
1358,
47023,
2270,
23587,
1450,
15422,
1450,
1536,
2339,
72,
36648,
11174,
1426,
59380,
57225,
25016,
1367,
17972,
59347,
72,
24031,
1371,
10164,
72,
3721,
47023,
32239,
3577,
1385,
2198,
1358,
2624,
72,
2518,
6102,
1385,
13893,
47023,
15821,
2072,
1421,
25384,
72,
19609,
1421,
7932,
1385,
4294,
1384,
4338,
1753,
1835,
1358,
47023,
31506,
59342,
1525,
44557,
1738,
1385,
1346,
1591,
72,
10469,
1457,
47023,
1410,
5336,
1525,
2352,
1385,
3428,
59342,
5500,
1910,
3428,
1385,
2352,
1467,
1377,
5519,
59342,
1733,
17856,
59337,
1410,
1358,
1933,
9072,
1379,
1358,
47023,
31506,
1384,
1408,
1591,
1410,
1358,
2652,
72,
15443,
2270,
23587,
52557,
1385,
12276,
1900,
1899,
5207,
59320,
59384,
1899,
1379,
10271,
2067,
8378,
5188,
9307,
59342,
10577,
59320,
59384,
3322,
1385,
2017,
1510,
4586,
72,
2292,
59361,
1352,
3221,
1385,
2163,
1348,
2258,
1457,
59361,
59328,
2558,
1421,
1449,
1384,
1615,
2994,
72,
20204,
1379,
2009,
9307,
3020,
1882,
1828,
1502,
1510,
1358,
2164,
1379,
1348,
3848,
72,
43961,
1379,
2270,
23587,
72,
59320,
62793,
1324,
1255,
1269,
63876,
59342,
59320,
62385,
1323,
1273,
1217,
62274,
59320,
1324,
1240,
1221,
59320,
1324,
1238,
1229,
59320,
62334,
63810,
59320,
1324,
1257,
1277,
1325,
1249,
1217,
59320,
1324,
1265,
1265,
63781,
62102,
59320,
1323,
1267,
1220,
59342,
59320,
1324,
1265,
1237,
62267,
59320,
62814,
1325,
1246,
1229,
63324,
59320,
63797,
1325,
1246,
1229,
61695,
1325,
1252,
1249,
73,
62814,
1325,
1246,
1229,
63324,
59320,
63797,
1325,
1246,
1229,
61695,
59320,
63488,
63216,
59320,
1323,
1273,
1217,
62814,
62334,
59320,
1325,
1242,
1221,
63409,
63902,
62440,
59320,
1324,
1238,
1229,
72,
1690,
1424,
2968,
1727,
4512,
1377,
1358,
59320,
59345,
59344,
1440,
28388,
1467,
1496,
1405,
2222,
16627,
59354,
3806,
72,
1900,
1410,
1615,
3070,
4976,
59320,
63,
1385,
2163,
1707,
1980,
2009,
19383,
63,
32022,
18998,
5526,
3985,
1385,
2144,
46398,
3398,
1384,
6141,
72,
1507,
15066,
31506,
1649,
59320,
59349,
59370,
9307,
72,
24370,
1413,
22068,
1358,
47023,
2270,
23587,
59358,
1646,
30010,
32958,
11033,
1367,
47023,
2270,
23587,
47149,
4450,
4006,
1507,
3309,
59358,
6537,
1350,
2417,
59342,
9555,
1386,
41102,
59342,
1690,
1424,
1391,
52104,
59342,
6222,
1386,
52104,
72,
3067,
1675,
1449,
2127,
1835,
1358,
47023,
31506,
74,
1507,
31506,
15737,
10367,
1379,
17691,
63,
15438,
8276,
59342,
1697,
1571,
1441,
27295,
1796,
1745,
2373,
1573,
3575,
6674,
1385,
1980,
1828,
1502,
5336,
1508,
31091,
72,
1496,
29621,
1410,
1348,
15977,
1379,
3734,
11620,
1384,
6131,
14926,
1520,
8268,
1384,
31506,
2323,
72,
7438,
1981,
3466,
15646,
47023,
2270,
23587,
5744,
1465,
1510,
47044,
16418,
72,
8648,
3614,
57124,
1410,
29812,
36193,
1450,
3282,
59342,
32794,
9072,
1371,
32481,
1766,
2258,
1384,
3058,
11227,
1450,
1766,
8287,
7934,
1508,
18998,
72,
9768,
3322,
4740,
1358,
8362,
1379,
4960,
1358,
47023,
31506,
59342,
1697,
1410,
14301,
2223,
1525,
5519,
72,
1507,
47023,
2270,
23587,
7631,
1379,
18174,
2049,
1359,
27749,
7932,
1385,
1358,
59320,
59349,
59349,
9307,
1379,
1358,
47023,
31506,
72,
1507,
2461,
1450,
1358,
1782,
72,
4502,
1379,
1358,
2558,
5723,
1385,
4338,
1358,
47023,
31506,
1410,
1385,
1896,
1358,
31506,
4517,
72,
47023,
31506,
2957,
42325,
63,
59367,
59361,
59362,
59354,
59356,
59370,
59361,
63,
59352,
1483,
15550,
1681,
1359,
3365,
26794,
1641,
2360,
63,
19493,
1597,
1384,
18063,
63,
3475,
7932,
63,
4792,
1384,
3378,
63,
4611,
7584,
59324,
3945,
10053,
63,
32279,
1988,
10053,
18259,
1348,
3527,
4519,
4724,
59358,
1538,
59320,
59345,
59344,
59344,
72,
5792,
1376,
50597,
6697,
1450,
14368,
8276,
72,
3030,
1358,
1379,
1358,
2434,
1432,
1536,
3303,
1410,
2849,
72,
1507,
30498,
59346,
1897,
31506,
1410,
2119,
44318,
1384,
14240,
4302,
1385,
4338,
72,
2972,
1502,
59320,
59349,
59381,
16235,
26589,
1377,
3616,
72,
41331,
1383,
1384,
1383,
3187,
24119,
2849,
41331,
1544,
20584,
31506,
72,
1507,
3304,
31506,
72,
9765,
22043,
12364,
6394,
42871,
1384,
16145,
3398,
1507,
9765,
5012,
2070,
1410,
27060,
1379,
2566,
2223,
20389,
1426,
59389,
1448,
1442,
4270,
59342,
28940,
11140,
59342,
1384,
19151,
1622,
4270,
59347,
72,
1507,
5059,
22155,
1426,
3658,
1384,
27142,
59347,
1523,
5336,
1432,
59320,
59349,
59349,
62,
59349,
59387,
64,
59370,
59373,
1426,
59387,
59356,
59387,
59347,
21982,
59328,
1426,
6357,
31047,
1379,
1358,
22155,
59347,
72,
47023,
2270,
23587,
72,
21179,
25815,
59392,
22094,
1450,
1531,
1510,
56035,
5714,
72,
39363,
59342,
2068,
1384,
5740,
15066,
2270,
23587,
26712,
3734,
1432,
10875,
2126,
4224,
72,
2965,
59361,
59328,
1748,
1432,
1450,
1476,
1384,
2198,
1980,
1385,
4637,
1358,
31506,
1385,
44310,
1465,
1377,
1348,
4136,
2369,
73,
4407,
3680,
4553,
41102,
1379,
1358,
2270,
23587,
72,
4707,
9424,
1510,
1615,
2701,
21771,
59342,
1449,
1601,
7667,
1358,
47023,
31506,
59342,
6380,
1707,
7578,
47023,
6141,
59342,
1384,
4848,
19803,
1615,
3412,
1450,
1615,
4807,
1520,
72,
1507,
3162,
1449,
20282,
8983,
1348,
9072,
1377,
1348,
3848,
59342,
1358,
1753,
14079,
1449,
1601,
1441,
1377,
16033,
1358,
47023,
4446,
11251,
1410,
1348,
7537,
1379,
1348,
26705,
2493,
1358,
2362,
7912,
1379,
11251,
1410,
1348,
26705,
1508,
4114,
1377,
6430,
4189,
72,
1826,
1410,
1348,
2407,
2369,
1385,
4338,
1358,
47023,
31506,
1467,
2119,
1467,
10444,
12446,
1450,
47023,
6141,
1384,
6125,
47023,
72,
1420,
7154,
1379,
19138,
1889,
5040,
43705,
32239,
1421,
2849,
5740,
72,
3519,
59342,
1358,
6430,
4446,
31506,
1523,
34287,
1525,
3351,
31506,
1697,
1410,
13530,
1385,
1467,
19780,
47023,
1508,
2078,
2016,
63,
59389,
3215,
4978,
72,
59320,
59349,
59362,
9307,
1426,
59353,
1469,
1419,
1479,
1529,
1493,
1527,
1491,
1417,
1681,
1494,
1445,
1515,
1549,
1452,
3052,
1490,
1413,
1408,
1690,
2785,
1788,
2572,
59347,
1502,
1358,
1933,
59320,
59349,
59362,
9307,
1379,
1358,
59320,
59349,
59373,
4611,
11524,
5519,
2270,
23587,
72,
54159,
1434,
1410,
1358,
4766,
3887,
1457,
1601,
4637,
1449,
7030,
47023,
6141,
1384,
47023,
39737,
1421,
15471,
59342,
2042,
1972,
1348,
24179,
3629,
72,
6051,
17856,
1738,
1385,
1408,
1591,
59342,
7932,
1601,
4740,
4960,
1358,
47023,
31506,
1432,
1536,
5919,
3979,
1967,
1624,
42325,
72,
1408,
59343,
1607,
3534,
15066,
31506,
4517,
1426,
59362,
59344,
59344,
59344,
59344,
10688,
3475,
59347,
72,
7101,
73,
2419,
1364,
1390,
73,
1507,
5024,
1379,
1358,
47023,
4446,
1410,
6811,
3554,
1379,
12047,
1405,
15306,
1991,
1348,
37592,
8603,
4446,
59342,
2086,
2025,
1377,
13854,
1379,
25853,
1523,
1608,
18665,
37473,
1384,
9293,
2237,
1385,
2810,
1520,
1745,
1782,
59342,
5279,
1778,
6926,
7370,
1788,
13412,
16423,
59342,
1384,
1410,
2336,
25923,
1520,
16453,
1384,
13984,
33953,
1377,
1807,
6430,
2809,
72,
54810,
6886,
13320,
2324,
4982,
13320,
56887,
59391,
13097,
12666,
3409,
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2
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<s> Hebrew Alphabet For Kids
Simply right-click the worksheet, save to your computer and print Introduce your kids to Hebrew and give them the gift of a second language while strengthening their connection to Israel and the Bible. In fact, the Hebrew alphabet has no vowels at all. Does your child need practice writing his ABC's, 123's, his name or even cursive?. Hebrew worksheets the jewish children s learning network hebrew worksheets for beginners free printables worksheet printable hebrew reading worksheets learning how to. Hebrew is a building-block language. a set of letters…. 27 Wooden Craft letters-The entire Hebrew alphabet Get all 27 colorful letters of the Hebrew alphabet so that you can write Hebrew words, Hebrew names, Israeli signs and more. We recently took these games out of our original Hebrew Alphabet tutorial ("At Home with Hebrew" – see Learn Hebrew link at the right of this page), and made them web and smart-phone compatible. The Hebrew alphabet has 22 letters. It serve the purpose for learning and travelers visiting HebrewLessons are divided into category and subcategory in a scientific way, try and feel. Alphabet and Basic Hebrew. But this latter is in mediate relation only to the original source, while the Hebrew Alphabet has kept closer to the primitive signs. Get stitch charts for different fonts of the Hebrew alphabet. The Hebrew language is read from right to left. Get your kids to LOVE the Hebrew language with Gus on the Go: Hebrew! This app is packed full of interactive lessons, engaging lesson reviews and fun vocabulary games. Features includes: alphabet song, vocabulary and syllables app, 35 hours of video lectures, Hebrew Jonah comic, Bible Reader. How to use Greek in a sentence. There were several more, but they dropped out of use before the Classical period. Hebrew alphabet song tvokids (part 4) a tvokids. Mezuzah study guide. It was used in Syria as early as the 11th century bc and is probably ancestral, either directly or indirectly, to all subsequent alphabetic scripts, with the possible exception of those scripts classified as South Semitic (e. -- ENHANCE YOUR CHILDREN'S FUTURE. Remember the part in the Bible that said Physician HEAL THYSELF. Read 2 reviews from the world's largest community for readers. Here bobo playing with ABC characters. Hope you enjoy! DOWNLOADS. Watch videos of free Hebrew lessons led by real Hebrew teachers, or join an online course. Hebrew Alphabet. Each step stool is specially crafted with large, colorful lettering displaying their name and custom designs with their favorite animals or symbols. Second only to Arabic, and it uses the ancient language of Geez as its script, this is known as the Fidel. Some symbols may represent more than one word depending on the context. Biblical Hebrew Vocabulary: Kelley - Chapters 3-27. Our Japanese foreign language worksheets present each of these through systematic exercises that will guide kids through writing the characters that make up these scripts. The earliest examples are Semitic and often found in religious Hebrew poetry. free printable picture of trash can It is Printable Rosh Hashanah (Jewish New Year) Games Free Printable Rosh for an introduction to the Hebrew alphabet for kids try Davka's Alef Bet. The worksheet is an assortment of 4 intriguing pursuits that will enhance your kid's knowledge and abilities. Start our Beginners Hebrew Reading Course today, and within 3 hours you'll be reading Hebrew! With just 2 audio/visual sessions and 32 step-by-step interactive presentations, all the beauty of written Hebrew will soon be at your command: The Alef-Bet (the Hebrew Alphabet) How to read the Hebrew vowels; Correct Hebrew pronunciation. For instance, in Japanese and Cherokee each symbol represents a group of sounds rather than a single sound. The charts also have the numeric value of each letter. At first it is only important to learn the English name, small letters, and pronunciation. The picture below illustrates the Hebrew alphabet, in Hebrew alphabetical order. Kids Encyclopedia Facts. Hebrew alphabet song tvokids (part 4) a tvokids. So now you know two letters. The Hebrew alphabet is often called the "alef-bet," because of its first two letters. It brings a new learning methods FEATURES - Support multiple languages (Translate from 32 languages to Hebrew) - Quiz. ʾĀlap̄ (ܐ), the first letter, represents a glottal stop, but it can also indicate a vowel at the beginning or the end of a word. In Letters of Light, the essence of these holy letters is explored, illustrating how the letters continue to be a source of creation, reflection, prayer and inspiration in our everyday lives. The chinese alphabet finally revealed In the chinese alphabet, small letters are written like capital letters, and vice versa. More than 600 FREE Hebrew games and activities. Playing is one of the best ways to learn. Simply right-click the worksheet, save to your computer and print. The Hebrew Alphabet Joris Hoefnagel (Flemish / Hungarian, 1542 - 1600) Georg Bocskay (Hungarian, died 1575) Leaf: 16. The Hebew alphabet is still used in modern Israel. Aleph (also spelled Alef) is the first letter of the Alephbet, the Hebrew alphabet. Shop high quality Hebrew T-Shirts from CafePress. 3 7 CJ Hobo 0. The hebrew alphabet, or "alef - bet It mixes up languages, writing systems and alphabets. The very best book on the market is Izzy Pludwinski's Mastering Hebrew Calligraphy. A Hebrew Alphabet Book For Kids - Alphabet Animals Edition This Hebrew alphabet book is a great book to begin the language journey! In this book, you'll find: A Hebrew Alphabet Book For Kids - Hebrew Language Learning Book Olam Katan $ 9. Yiddish letters in print and cursive forms, with accompanying audio. It is the root language of hebrew, arabic, turkish, and the alphabet for farsi (Persian), urdu (Pakistan/Indian), and greek. Unlike most academic books on Biblical Hebrew, this course provides a step-by-step approach that will enable you to understand the Hebraic mindset while learning the alphabet and vowel signs. Looking for a fun and easy way to teach your children the Hebrew alphabet? Our Learning Hebrew: The Alphabet activity book is the perfect tool to help you teach your children the basics of the Hebrew language, while giving them insight into the day-to-day life of the Hebrew people. What do you know about the Hebrew alphabet? The alphabet basically consists of twenty-two characters, which can be confusing if one does not pay attention to how they are written or pronounced. The other side contains the letter name or the pronunciation in phonetic English. An Alef-beys Chart. " In the Ancient Hebrew alphabet, the letter tav was written as a picture of two crossed sticks, a cross if you will, and is a sign of a covenant. The English word alphabet came from the Hebrew word! Today, the Aleph-Bet contains the alphabet of ancient Hebrew, of Biblical Hebrew, and some modern additions to the language. The Alphabet Song is a children's song that first appeared in "Barney Goes to School ". 00 Edit 0 0 Focusing on basic grammar, everyday words, and colloquial expressions, kids will be taught both how to conduct a basic conversation in Hebrew and skills to decipher and translate texts on their own, such as everyday prayers from the Siddur. Get stitch charts for different fonts of the Hebrew alphabet. haṣ·ṣad·dî·qim — 6 Occ. I am a 40-year-old man finally learning Hebrew after all these years and I must say that I love this app for teaching me the Hebrew alphabet. Hebrew Script practice sheets, Hebrew calendar sheets, Hebrew question words, Torah, Colors in Hebrew, and much more. In Natalie Portman's case, naming her son Aleph was as easy as "A, B, C. As a carpenter employs tools to build a home, so G-d utilized the twenty-two letters of the Hebrew Alphabet, the alef-beis, to form heaven and earth. These sites contain lessons to help learn one language from another. Aleph (also spelled Alef) is the first letter of the Alephbet, the Hebrew alphabet. Reasons to Take Hebrew Lessons for Kids. In the original Hebrew this means that 'aleph' is encrypted to 'tav', and 'beth' to 'shin'. First, the alphabet is categorized into vowels and consonants as follows: Vowels - स्वराः Vowels are pronounced by a smooth flow of air thro' the mouth You don't aim for perfection. 2 Document(s) Lab Report Example. Russian is an Eastern Slavonic language closely related to Ukrainian and Belorussian with about 277 million speakers in Russia and 30 other countries. You actually try. The different colored letters will certainly attract the children and then can learn the language with more interest and ease. The second letter in the ancient Hebrew alphabet is Bet. Traditional alphabet songs in other languages "Ahaka mana" recites the syllabary of the Māori language to the tune of Stupid Cupid "Alef-Bet" by Debbie Friedman, a song commonly used in American Hebrew school classrooms to teach the letters of the Hebrew Alphabet "Iroha", a recital of the Japanese syllabary "Shiva Sutra", Sanskrit. The sources are divided to the origin of the 42 letter name of God. On this day, if not earlier, the child begins learning the Hebrew alphabet and letters. The sanskrit alphabet is well categorized and hence easy to learn. If you want to study the Arabic alphabet from the beginning, click on "1 - Intro to Short Vowels" in the menu below. Class Central is an online portal that indexes free online courses from a variety of sites (including Coursera and EdX ). Skip to main content. Letters of Light is a unique and insightful exposition of how the letters of the alef-beis continue to be a source of creation and inspiration. How To Write Hebrew Alphabet (Alef-Bet): Step By Step Workbook For Beginners (Kids & Adults) Learn How To Write Hebrew Letters Dekel Day Learning Hebrew Books Free Printable Coloring Pages Coloring Pages For Kids Coloring Sheets Coloring Books Kid Fonts Hello Kitty Coloring Jewish Crafts Christmas Coloring Pages Learning Colors. The link between human intelligence, mind, language, and the order of the letters in the alphabet is the key to measuring human mind and solving the major problem of mental discord and imbalance. But Yiddish sounds different from Hebrew as it comes from the same family as German. Alephbet 101 / Hebrew Reading FAQ Is it hard to learn to read Hebrew? Kids learn with vowels, Aleph Bet, Aleph-Bet, Alef Beth, Alef-Beis, Aleph Bet — or just writing Hebrew Alphabet. In addition, the book also offers a Hebrew Alphabet chart, a transliteration guide, and proper pronunciation help with. The Hebrew Alphabet In fact the word alphabet comes from alpha-beta the first two Greek letters, which in turn came from the first two Hebrew-Phoenician letters aleph and bet[h]. Learn Hebrew Online. Learning Hebrew has never been this fun!. Kids Encyclopedia Facts. Note that Hebrew is written from right to left, rather than left to right as in English, so Alef is the first letter of the Hebrew alphabet and Tav is the last. The letters can be used to decorate with them, play with them, learn to write and read & more. The lesson then has puzzles, reading exercises and a section to learn Hebrew words with that letter. One of us! Game Points. It could be used as writing assessment for students learning Hebrew. My friends looked long and hard for a good Hebrew alphabet song (alef-bet song). 183 Document(s) Evaluation Form. IT IS BUILT INTO THE ALPHABET. - An falling letters game. During the years a system of vowels called nikud were added, but these are mostly seen in school books and prayer books. This advanced Hebrew dictionary offers access to clear definitions of thousands of terms covering: Hebrew Slangs. After your first lesson, (just 1 & 1/2 hours), you could be reading Hebrew!. We're happy to present two Hebrew worksheets for the beginner. "Hebrew For Beginners" online initiative started at 2012. Start the Hebrew Alphabet Game. If you are interested in knowing how each Hebrew alphabet looks like, tend to the. Have fun learning Hebrew letters easily. It is like a cupped, outstretched palm, ready to receive. This is a comforting item that is also quite attractive, and a pleasure to have with you always or to give as a special judaica gift. Free printable alphabet flashcards for kids, a great way to introduce letters, phonic sounds and basic words Free alphabet flashcards Introduce your child to the alphabet with these free printable alphabet flash cards. 63 Free shipping. " The Spanish alphabet consists of 27 letters. Conjunctions A. The original letters of the Hebrew alphabet was actually pictures, or pictographs, similar to Egyptian Hieroglyphs. We have developed LearningHebrew. Hebrew worksheets the jewish children s learning network hebrew worksheets for beginners free printables worksheet printable hebrew reading worksheets learning how to. (21) alphabet (2) art activity (19) art display (1). If you want to study the Arabic alphabet from the beginning, click on "1 - Intro to Short Vowels" in the menu below. You can see in the picture on the right how the symbol of the woman simply means the word "woman". Topic: Understanding on the Most High GOD & Christ According to the Hebrew Language!! Why Jehovah Jesus Cannot be the Names of the Most High GOD & Christ According to the Hebrew Language. In addition to the letters, 22 basic Hebrew words that are appropriate for young children are taught in a fun way. Tvokids Greek alphabet song (30000views special). We all need to come together. Now with audio!. foreign language study kids textbooks. You cannot do better than start with this. This is a relatively "new" custom, going back to the 17th century according to Wikipedia. This set includes 8 set of cards using uppercase letters, allowing 8 children to play at once The Phoenician alphabet was an alphabetic script that was used in the territories of modern-day Lebanon,. So now you know two letters. There are plenty of reasons for your child to learn Hebrew. Description: Begin your journey towards learning Hebrew by learning the names of the Hebrew letters. Add to Wishlist. Home / Alphabet Books / Picture Books / A Hebrew Alphabet Book For Kids – Alphabet Animals Edition A Hebrew Alphabet Book For Kids – Alphabet Animals Edition This Hebrew alphabet book is a great book to begin the language journey!. The Hebrew Alphabet book. How to Learn Hebrew With Your Kids Even when the Jewish people did not use Hebrew as a daily language, millions of Jews still wrote and spoke with the Hebrew alphabet, or alef-beit. Teaches well! I know this says it's for kids and I have no doubt kids playing this would eventually learn Hebrew letters. 4th grade summer workbook free printable history worksheets grade 9 science worksheets Alef Bet Coloring Pages. Hebrew; alef-tent, bet-is a house, gimel-is a big camel a-lef o-hel bet ze ba-yit gi-mel ze ga-mal ga-dol אלף - אוהל, בית - זה בית, גימל זה גמל גדול what is dalet - it's a door that opens everything:. Only real Chinese characters are used. by Chaya Burstein. The picture to the right illustrates the Hebrew alphabet, in Hebrew alphabetical order. You don't aim for perfection. Displaying all worksheets related to - Hebrew Alphabet. It is used to write the Greek language. Our Hebrew letter beads are very popular and could be used to make personalized Judaic items like a Yad, pens, necklaces, bracelets and more vocabulary from the Torah Parshat Noach a. It has also been suggested that Phoenician is the ultimate source of Kharoshthi and of the Indic scripts descending from Brahmi. In Hebrew, only consonants are considered to be letters –The consonant Alef א is a letter of the alphabet Mondly is the quick fix that will teach you core Hebrew words and Hebrew phrases for conversation, just like a phrasebook. The Hebrew alphabet is comprised of 24 letters and a point system that denotes vowel sounds because the alphabet itself has no vowels. Worksheets are Hebrew for christians the complete hebrew alphabet, Lesson 1 lessons, The hebrew alphabet, Alphabet practice, , How to write the hebrew alphabet, Ancient hebrew language and alphabet. In fact the word alphabet comes from alpha-beta the first two Greek letters, which in turn came from the first two Hebrew-Phoenician letters aleph and bet[h]. "Modern Hebrew will reinforce your classical Hebrew," she says. Hebrew Alphabet. Availability: Ships Factory Direct usually within 3 Days. Mazal Tov! A lovely gift for parents who have a love for language, history, or who consider themselves to be students of culture, this colorful set of 27 hand-hewn blocks puts the ancient language of the Jewish people at their child's fingertips. Now you and your children can sing along with the Torah Town Kids in a SLOWER Version of the popular Aleph-Bet Song! ENJOY!!. Introduce your kids to Hebrew and give them the gift of a second language while strengthening their connection to Israel and the Bible. Paperback $3. a set of letters arranged in a fixed order, used for writing a language: 2. free printable picture of trash can It is Printable Rosh Hashanah (Jewish New Year) Games Free Printable Rosh for an introduction to the Hebrew alphabet for kids try Davka's Alef Bet It brings a new learning methods FEATURES - Support multiple languages (Translate from 32 languages to Hebrew) - Quiz. il Online and printable Hebrew alphabet charts which include the Hebrew letters in three formats: block, script, and Rashi. Naming a new baby can be an exciting if daunting task. Studying at your own pace, you will master the Hebrew alphabet, sound out actual Hebrew words, and begin connecting your studies with your heart by Worksheets. Click on a letter below to begin studying how to pronounce, read, and write the letter (start with Aleph and proceed right-to-left through the entire alphabet):. The Hebrew language is read from right to left. The first step to learn Hebrew is, obviously, to study the Hebrew Alphabet. Showing top 8 worksheets in the category - Hebrew For Kids. Note that Hebrew is written from right to left, rather than left to right as in English, so Alef is the first letter of the Hebrew alphabet and Tav is the last. You'll be signing before you know it! Things To Know Before Practicing With Your Printable Sign Language Alphabet Chart. So with Hebrew being a different alphabet and all, there are some English-ified words based on pronunciation. The Hebrew Alphabet has twenty-two letters, and five of them appear different at the end of a word. During the years a system of vowels called nikud were added, but these are mostly seen in school books and prayer books. This post will provide a breakdown of the Hebrew alphabet. Easy Visual Tutorial for Beginners! How to write the the 22 letters of the Hebrew Alphabet! Recognize each one by name, and know how to write it. Alef Bet Vet, Gimel Daled Hey…learn the song with this fun karaoke video and get your kids to learn the Hebrew alphabet while they brush their teeth! Sung by Alicia Jo Rabins. The ShevonYah Show "The Hebrew Alef-Bet Song" (Official Lyric Video) Learn To Read Hebrew Hebrew In One Week The Complete Hebrew Alphabet Hebrew for Christians. Main concepts. Get your kids covered with this exquisite item, made out of 100% cotton and including a charming blue design added with a print of the letters of Hebrew Alphabet in various fonts and colors. Kids love this crazy festival and that is halloween. Bible chapter on Noah's Ark, is used to identify and categorize nouns (people, places, things) found in the Torah passage. 6 40 CJ Informal 0. The Hebrew alphabet is often called the "Alef-Bet," because of its first two letters. Explore the Hebrew language and teach heritage with this 28 block set. Biblical Hebrew contains 22 letters, as noted in Psalm 119, all of which are consonants. If you're trying to learn the Hebrew alphabet there's no better way than a Hebrew Alphabet Song! For the free downloadable MP3 version go to The Hebrew language is read from right to left. For Hebrew diacritical marks, see niqqud (for the vowel points) and cantillation. The Hebrew alphabet known as Ketav Ivri or Paleo-Hebrew was identical to the Phoenician alphabet. Home / Alphabet Books / Picture Books / A Hebrew Alphabet Book For Kids – Alphabet Animals Edition A Hebrew Alphabet Book For Kids – Alphabet Animals Edition This Hebrew alphabet book is a great book to begin the language journey!. Check out all of the spectacular designs or make your own!. All Hebrew alphabet in one file. It covered the land where the country of Lebanon is today. Displaying all worksheets related to - Hebrew For Kids. CHAPTERS: 13 VERSES: 303. For kids of all ages Learn over 1000 vocabulary words Learn present tense verbs Get Hebrew Kindergarten in Total Confidence With Our 100% 60 Day Guarantee: using transliterations only as an additional aid to reading and speaking using the Hebrew alphabet. Biblical Hebrew and the extended, upgraded and colorized edition of Living Israeli Hebrew (2 books + 2 CDs set) The newest tool for learning and practicing Biblical Hebrew in a fun way. The sources are divided to the origin of the 42 letter name of God. The first two letters of the Phoenican alphabet are 'āleph (ox) and bēth (house). The picture to the right illustrates the Hebrew alphabet, in Hebrew alphabetical order. The Hebrew Alphabet Book of rhymes introduces kids to the 22 letters of the Hebrew alphabet. Learn to read, write and pronounce the letters of the Biblical Greek alphabet. Now you and your children can sing along with the Torah Town Kids in a SLOWER Version of the popular Aleph-Bet Song! ENJOY!!. Acrostics in the Hebrew Bible. Free Printable Planet Coloring Pages For Kids By Best Coloring Pages May 22nd 2014 Planets, the astronomical objects that orbit the sun are extremely popular with kids as a coloring page subject. The full alphabet. Find TEL AVIV, ISRAEL - DECEMBER 7,2013: Stand with rotating hebrew letters on children playground. The lesson then has puzzles, reading exercises and a section to learn Hebrew words with that letter. The Hebrew alphabet known as Ketav Ivri or Paleo-Hebrew was identical to the Phoenician alphabet. Kids love this crazy festival and that is halloween. Fun for kids to print and learn more about the Hebrew alphabet, from aleph to tav. The Alphabet of Biblical Hebrew available to us today is thus written in the Hebrew language with the Imperial Aramaic alphabet. Hebrew worksheets the jewish children s learning network hebrew worksheets for beginners free printables worksheet printable hebrew reading worksheets learning how to. Learn the alphabet, play cool, interactive games and activities to learn basic vocabulary and language skills. First, the alphabet is categorized into vowels and consonants as follows: Vowels - स्वराः Vowels are pronounced by a smooth flow of air thro' the mouth. A wide range of other FREE flashcards for kids are also available 63 Free shipping. For this letter, imagine a headless man. This recommendation of my proved to be one of their favorites. Finally, have each classmate walk up to another classmate and then call out their combine sound. What do you know about the Hebrew alphabet? The alphabet basically consists of twenty-two characters, which can be confusing if one does not pay attention to how they are written or pronounced. Letter dictation involves listening to verbal speech, either in real time or in a Dictaphone, and typing the message, typically into a word processing document. Hebrew Alphabet Dough $22. Harnessing the unlimited power of children's imagination, Hebrew cartoons entertain as they teach. Remember the part in the Bible that said Physician HEAL THYSELF. Hebrew Activities for Teachers Each week I post many fun Hebrew activities for teachers that correspond with a Hebrew letter. It's probably your first thought when you consider learning Hebrew. Learn to read, write and pronounce the letters of the Biblical Greek alphabet. The alphabet and language remained pure until the Babylonian Exile in 586 BC, when, following the destruction of the Temple of Solomon in Jerusalem , spoken. The students could write about a topic in Hebrew before starting a unit, and then write again about the topic, using the second worksheet at the end of the topic to see how much they have progressed. Not your average alphabet book. The beads are stocked in antique pewter finish. Today, with over 13,000 students worldwide and a bestselling Hebrew course on Udemy, their goal is to spread the Hebrew language as much as possible. Here bobo playing with ABC characters. The best free set of alphabet worksheets you will find! 100+ worksheets that are perfect for preschool and kindergarten kids and includes activities like tracing, recognition, dot to dot, missing letters and many more!. This is seen most clearly in the grammatical functions of certain letters that are used as prefixes and suffixes. This first book in our "A Taste of Hebrew for Kids Series" in our Smart Kids Bright Future Children's Book Collection focuses on the Hebrew Alphabet. Biblical Hebrew Vocabulary: Kelley - Chapters 3-27. It's probably your first thought when you consider learning Hebrew. Learning to write the Hebrew Alphabet. Teaches well! I know this says it's for kids and I have no doubt kids playing this would eventually learn Hebrew letters. Fun Ways to Teach the Alphabet. satansrapture. There are lots of places for children to sit during group discussion or story time. The following table lists the letters and their sounds followed by the points and which vowel sound each represents. Loading Unsubscribe from a tvokids? J KIDS TV 42,117 views. Thank you for this insight, Dr. Step by step Hebrew lessons. Explore the Hebrew language and teach children about heritage. Mondly is the quick fix that will teach you core Hebrew words and Hebrew phrases for conversation, just like a phrasebook. The Hebrew Alphabet: Read, Write and Color is another installment in the 'A Taste of Hebrew for English Speaking Kids' MazorBooks series. Practice Arabic writing with guides before testing yourself, making learning extremely fast and stress-free Download Arabic Alphabet, Arabic Letters Writing right away, and start to learn Arabic language, practice lots of tests offline, anytime, anywhere! Features: Practice writing with guides before testing yourself, making learning extremely fast and stress-free. Displaying top 8 worksheets found for - Hebrew For Kids. Hebrew Language Study - Kids: Books Hebrew Alphabet Coloring Book. The Hebrew alphabet looks intimidating but many have learned if before and proved it's possible to master. dictionary. Thank you for this insight, Dr. Khaf, the 11th letter of the Hebrew Alphabet, means literally the cupped palm of the hand. Hardcover $12. We have compiled the largest online database of baby names alongwith meanings 8: Hear it! Tet: 9: Hear it!. 64 and 68 POSITION IN THE BIBLE: • 58th Book in the Bible • 19th Book in the New Testament • 14th of 21 Epistle Books (Romans - Jude) • 8 Books to follow it. Learning Hebrew becomes a fun adventure for kids with the reward system. When we do this, the Bible comes alive! Let's learn more about Yeshua and His disciples, the Twelve Tribes of Israel, life in ancient Israel, and how Yah's instructions apply to our lives today. This is your next stop - to find out how these funny-looking symbols fit together to make syllables and words. It has also been suggested that Phoenician is the ultimate source of Kharoshthi and of the Indic scripts descending from Brahmi. Hebrew Alphabet Gifts Explore the aleph-bet with this fantastic collection of Hebrew alphabet gifts! The world's oldest alphabet has a fascinating history; discover the details with our great collection of informative books from Carta publishing house. Enjoy the filigree of interlacing triangles that surrounds two embossed letters on each block. Kids hatch dinosaur eggs and earn surprise rewards by completing Hebrew lessons, games and quizzes. The modern Hebrew alphabet developed from the Aramaic alphabet. But don't worry! It's not a boring list of letters. As a carpenter employs tools to build a home, so G-d utilized the twenty-two letters of the Hebrew Alphabet, the alef-beis, to form heaven and earth. Print the Hebrew letter chart. We have one worksheet for each letter from A-Z and they each have lots of capital and lowercase versions of the letters to trace. The Hebrew alphabet looks intimidating but many have learned if before and proved it's possible to master. Winner of the Standing Ovation Award for "Best PowerPoint Templates" from Presentations Magazine. Learning Hebrew becomes a fun adventure for kids with the reward system. Additional processing time may apply during the peak back-to-school season. Hello Junkies. You don't need to sit and concentrate on the lyrics; just let the music play and enjoy the sounds as you do whatever it is you normally do while listening to music. When we talk related with Printable Hebrew Worksheets, scroll the page to see some related images to add more info. Hebrew Alphabet Rug by Carpets for Kids. When you succeed. There are 23 flash cards in this set (6 pages to print. Call 1-800-44-HEBRE(W). By placing this page on a cookie sheet, your toddler will be able to practice matching his/her letters with a simp. The charts also have the numeric value of each letter. 5 x 11 paper. Today, with over 13,000 students worldwide and a bestselling Hebrew course on Udemy, their goal is to spread the Hebrew language as much as possible. If you're planning a trip to Greece this year, knowing how to identify the letters of the Greek alphabet can go a long way in helping you feel at home in this European country, and might even help you know the difference between Athens and Piraeus or "New Epidaurus" and the "Port of. Not your average alphabet book. Tvokids Greek alphabet song (30000views special). It is has also been used in mildly adapted forms for writing several languages of the Jewish diaspora, most famously Yiddish, Ladino, and. Here are some posters/charts to print out and put up on your fridge as you practice. Tvokids Greek alphabet song (30000views special). If a virtual private party is more your thing, go here for details. Check out our hebrew alphabet art selection for the very best in unique or custom, handmade pieces from our shops. Archeological evidence indicates that the original Hebrew script is related to the Phoenician script that was in wide use in the Middle East region at the end of the 2nd millennium B. G's that look like I's, F's that sound like "Waw," and Q's that look like monkeys — man, was our alphabet a mess. The Atbash Cipher simply reverses the plaintext alphabet to create the ciphertext alphabet. I would also like to find something more. If you're trying to learn the Hebrew alphabet there's no better way than a Hebrew Alphabet Song! For the free downloadable MP3 version go to Includes alef bet block letter writing, heritage Hebrew words, and Hebrew alphabet worksheets. The original letters of the Hebrew alphabet was actually pictures, or pictographs, similar to Egyptian Hieroglyphs. Another great resource for Hebrew Alef-Bet learning is Benny's Educational Toys where they have various place mats, games and coloring books geared toward. Every font is free to download!. The Atbash cipher is a particular type of monoalphabetic cipher formed by taking the alphabet (or abjad, syllabary, etc. But this latter is in mediate relation only to the original source, while the Hebrew Alphabet has kept closer to the primitive signs. By 1000 BCE the Phoenician and Hebrew languages had become distinct from Aramaic, which was spoken in Canaan. In other words, you want to read and write in Hebrew. Madinah Arabic is helping students from allover the world learn Arabic for free with the most comprehensive Arabic courses online. Displaying top 8 worksheets found for - Hebrew Aleph Bet. The cube beads measures about 7mm each side and the hole is about 3 Conditional Sentences III. Khaf, the 11th letter of the Hebrew Alphabet, means literally the cupped palm of the hand. Sing the Hebrew Alef Bet with Alicia Jo Rabins Learn the Hebrew Alphabet. Hebrew for Homeschool. Does your child need practice writing his ABC's, 123's, his name or even cursive?. According to a controversial new study by archaeologist and ancient inscription specialist Douglas Petrovich, Israelites in Egypt took 22 ancient. What you're getting is the top 100 Hebrew Vocabulary Words List and a PDF version as well. Something to help me refine my understanding of language construction, and pronunciation —for example, some of the alphabet letters are written with identical English names (such as Ta), yet they hold some distinction from one another in Arabic. Kids love this crazy festival and that is halloween. Fun for kids to print and learn more about the Hebrew alphabet, from aleph to tav. Get your kids to LOVE the Hebrew language with Gus on the Go: Hebrew! This app is packed full of interactive lessons, engaging lesson reviews and fun vocabulary games. Practice Saying the Hebrew Alphabet: In Letter Groups Timed Hebrew Alphabet Recognition Drills The System: Consonants, Silent Letters, Vowel Marks, Accent Marks. That's because many of our letters began as Egyptian hieroglyph. In the Hebrew Bible the Bet is translated as house and household. Kids love this crazy festival and that is halloween. The first step to learn Hebrew is, obviously, to study the Hebrew Alphabet. Click on the > arrow to start. net for English speakers. Finally, have each classmate walk up to another classmate and then call out their combine sound. The 7 is a sacred number and 7x7=49 means completeness and completion. At the very least it dates to the 10th century BCE. a picture of a word associated with the letter and how it is pronounced in Hebrew and the English translation. The Phoenician alphabet is a forerunner of the Etruscan, Latin, Greek, Arabic, Hebrew, and Syriac scripts among others, many of which are still in modern use. Body-Soul-N-Spirit A Hebrew letter Magnets. Interesting Facts About Hebrews Barnes' Bible Charts AUTHOR: Not absolutely certain. Greek definition is - a native or inhabitant of ancient or modern Greece. The Hebrew Alphabet. Learning to read and write the Hebrew alphabet iScript Hebrew (iOS, Android) This is a great introductory app for those at the beginning of their Hebrew journey. More ways to write ALEPH Aleph Words. Letters of Light is a unique and insightful exposition of how the letters of the alef-beis continue to be a source of creation and inspiration. Fillable and printable Greek Alphabet Chart 2020. Click on pop-out icon or print icon to worksheet to print or download. The alphabet and language remained pure until the Babylonian Exile in 586 BC, when, following the destruction of the Temple of Solomon in Jerusalem , spoken. Loading Unsubscribe from a tvokids? J KIDS TV 42,117 views. "You he shall take other mortar and plaster the. Phoenician alphabet facts for kids. This first book in our "A Taste of Hebrew for Kids Series" in our Smart Kids Bright Future Children's Book Collection focuses on the Hebrew Alphabet. Once you learn the Hebrew alphabet, you can begin to read the Phoenician alphabet was an alphabetic script that was used in the territories of modern-day Lebanon,. net for English speakers. TIME WRITTEN: Somewhere between A. In this book, the 22 letters of the Hebrew alphabet are illustrated and spelled out in English and in Hebrew. Hebrew worksheets the jewish children s learning network hebrew worksheets for beginners free printables worksheet printable hebrew reading worksheets learning how to. 1 Aleph א 2 Bet ב 3 Gimel ג 4 Daleth ד 5 Heh ה 6 Vav ו 7 Zayin ז 8 Het ח 9 Tet ט 10 Yud י 20 Kaf כ 30 Lamed ל 40 Mem מ 50 Nun נ 60 Samech ס 70 Ayin ע 80 Peh פ 90 Tzady צ 100 Koof ק 200 Reish ר 300 Shin ש 400 Taf ת 500 Kaf (final) ך 600 Mem (final) ם 700 Nun (final) ן 800 Peh (final) ף 900 Tzady (final) ץ. Main concepts. Choose your favorite hebrew alphabet designs and purchase them as wall art, home decor, phone cases, tote bags, and more!. Enjoy the filigree of interlacing triangles that surrounds two embossed letters on each block. Hebrew alphabet. Lessons over the internet. Hebrew Alphabet Dough $22. , Books (traditional books, like Torah scrolls or Esther Scroll, or other books being read in synagogues; a regular book can be printed with any script, of course), Tfillin and Mezuzot. Watch FREE for 3 days. 23 letters (A B C D E F G H I K L M N O P Q R S T V X Y Z) are the first 23 letters of the 29 original Old English Alphabet. The better you pronounce a letter in a word, the more understood you will be in speaking the Hebrew language. The vast majority of words in the Hebrew language can be boiled down to a three-consonant root word that contains the essence of the word's meaning. 6 Document(s). 8: Hear it! Tet: 9: Hear it!. The Greek alphabet letters below can be generated online for free with our web based letter generators. We'll do this in under 1 hour… but under a few conditions from me. The Complete Hebrew Alphabet Hebrew for Christians. 23 letters (A B C D E F G H I K L M N O P Q R S T V X Y Z) are the first 23 letters of the 29 original Old English Alphabet. If you try to pronounce them, it will be like pronouncing consonants of the English alphabet. Includes the pronunciation as well as the name of the letter. com is a user-supported site. Alef Bet - Learn the Hebrew Alphabet for Kids! by RustyBrick, Inc. Print the Hebrew letter chart. The shape of all containers – a bowl, a cup, a jar, is based on that basic curved shape, and Khaf represents the idea of a container. Similarities to Hebrew. So now you know two letters. à Aleph à à à Shalom, my name is Aleph. One's task is to harmonize these forces, both within one's body and in the rest of the universe. We have 1,108,986 names on our web site. Hebrew Alphabet Doll. Ok, a little gruesome, but imagine it anyways. Practice Writing the Hebrew Alphabet Since the old testament was written in Hebrew, you can have your children practice writing the characters. Aleph Bet: A Hebrew Alphabet Book For Kids: Hebrew Language Learning Book For Babies Ages 1 - 3: Matching Games Included: Gift For Jewish Parents With Children Rated 0. Transcript of "Secret of the Hebrew letter Peh" The 17th letter of the Hebrew alphabet is PEH. This game will be a good choice for you kids to teach them alphabets. Hebrew worksheets the jewish children s learning network hebrew worksheets for beginners free printables worksheet printable hebrew reading worksheets learning how to. Doing it all together is key to success Search for customizable Hebrew Alphabet posters & photo prints from Zazzle. The Atbash cipher is a particular type of monoalphabetic cipher formed by taking the alphabet (or abjad, syllabary, etc. Greek definition is - a native or inhabitant of ancient or modern Greece. com Merchandise. We have developed LearningHebrew. Aleph on its own? It has no sound at all! Hence the headless guy. net for English speakers. Coloured Magnetic Hebrew Alphabet Letters: Amazon. Testimonials — what students are saying about Easy Hebrew" About the Author. Jewishwebsight. Nov 9, 2013 - Learn the Hebrew Letters & the Hebrew Alphabet in this free online tutorial with alphabet cards and videos for learning Hebrew. Add to New Playlist. foreign language study kids textbooks. , but in my personal opinion this alphabet is something that any reasonably educated person should know. Click on pop-out icon or print icon to worksheet to print or download. Hands Across the Sea Samplers. The letter Tzadik is one of the only letters to have a "pouch" to store charity coins in. com An online course that will help you start reading Hebrew in just 2 hours. This is a relatively "new" custom, going back to the 17th century according to Wikipedia. I would recommend to absolutely anyone who wants to learn Hebrew. See also the halakha sections of this site. Free Printable Planet Coloring Pages For Kids By Best Coloring Pages May 22nd 2014 Planets, the astronomical objects that orbit the sun are extremely popular with kids as a coloring page subject. The Hebrew Alephbet. Learn 30+ languages online with bite-size lessons based on science. Once you learn the Hebrew alphabet, you can begin to read the. Learn the Hebrew Alphabet with ease with this app. FAQ Page (Frequently Asked Questions). Matching Game. No Hebrew fonts required to see the results. Reasons to Take Hebrew Lessons for Kids. Fun for kids to print and learn more about the Hebrew alphabet, from aleph to tav. Note that Hebrew is written from right to left, rather than left to right as in English, so Alef is the first letter of the Hebrew alphabet and Tav is the last. Simple Alphabet Codes to Solve This set includes 8 set of cards using uppercase letters, allowing 8 children to play at once. You're sure to find a name that's best for you and your family. Five of these letters change when they are at the end of a word. Origin of Alphabet. 어릴적, 한글을 뗄 때 가장 먼저 배우는 것, 바로 자음과 모음이죠!자음과 모음이 만나 글자가 완성되기 때. Vowels were created in the 10th Century as "accent marks" above. This is your next stop - to find out how these funny-looking symbols fit together to make syllables and words. The Greek alphabet has 24 letters. Practice Saying the Hebrew Alphabet: In Letter Groups Timed Hebrew Alphabet Recognition Drills The System: Consonants, Silent Letters, Vowel Marks, Accent Marks. What do you know about the Hebrew alphabet? The alphabet basically consists of twenty-two characters, which can be confusing if one does not pay attention to how they are written or pronounced. " Below is a sampling of online courses and resources organized by category and alphabetically. Find high quality printed Hebrew Alphabet Posters at CafePress. Each step stool is specially crafted with large, colorful lettering displaying their name and custom designs with their favorite animals or symbols. Many children enjoy the challenge of learning the Hebrew alphabet, which is entirely different from English. The Hebrew Alphabet Book of rhymes introduces kids to the 22 letters of the Hebrew alphabet. The same with the man. One of the best ways to learn the Hebrew alphabet is to use the alphabet song. Hebrew alphabet area rug-5'3"x4'-Sandrine Kespi Creations design- washable and resistant- special kids-soft and light- original judaica gift-educational gift Write a review List price: $ 100. Here bobo playing with ABC characters. All the of the information on this site is free. The sanskrit alphabet is well categorized and hence easy to learn. There are 26 flashcards in total. printable d and d character sheets free printable hebrew alphabet. The full alphabet. Japanese Foreign Language Worksheets and Printables The Japanese writing system is comprised of three different scripts (Hiragana, Kanji, and Katakana). The whole Bible (OT and NT) was written on 22+27=49 (7x7) scrolls (see Structure of the Bible). Hebrew Alphabet. Learn Punjabi with us at INDIF. Fill, sign and download Greek Alphabet Chart online on Handypdf. Let's get on with it and see how to teach the alphabet to preschoolers in a fun way! Recognizing Letters of the Alphabet. Studying at your own pace, you will master the Hebrew alphabet, sound out actual Hebrew words, and begin connecting your studies with your heart by. The better you pronounce a letter in a word, the more understood you will be in speaking the Hebrew language Bet is a picture of a tent because the very meaning of Bet is a tent or house in modern terms. It is a great way to learn the Hebrew alphabet as well as becoming familiar with Hebrew words and reading Hebrew. A selection of graphed cross stitch fonts for free download. However, the modern language alphabet was formulated from another alphabet which is referred to as Early Hebrew or Proto-Hebrew. 23 letters (A B C D E F G H I K L M N O P Q R S T V X Y Z) are the first 23 letters of the 29 original Old English Alphabet. Mondly is the quick fix that will teach you core Hebrew words and Hebrew phrases for conversation, just like a phrasebook. From Aleph to Tav, kids will enjoy learning the Hebrew alphabet on this beautiful circletime rug. Tvokids Greek alphabet song (30000views special). net! Shalom! The story of the Hebrew language is nothing short of miraculous – a practically dead language, used only in houses of worship was resuscitated and brought back to life by one man, Eliezer Ben Yehuda, and is now spoken by millions and rapidly evolving in our modern world. SEE AND HEAR THE HEBREW ALPHABET. In modern Greece, they are still used for ordinal numbers and in contexts similar to those in which Roman numerals are still used elsewhere in the West. This is the alphabet song that Israeli kids learn. Remember the part in the Bible that said Physician HEAL THYSELF. Korean Alphabet (Hangul) History of Hangul. Shop posters in a variety of sizes and designs to find the perfect fit for your room. Paperback $3. Reading a dead girl's mind is sure to lead to trouble… God's Shadow: Serialized. The numeric value of PEH is 80 Language Activities-JTeach. All hebrew alphabet artwork ships within 48 hours and includes a 30-day money-back guarantee. INTRODUCE THEM TO A FOREIGN LANGUAGE This first book in our "A Taste of Hebrew" for kids series focuses on the Hebrew Alphabet. Especially if you do not know Hebrew yourself, these are great tools to help your child (and to learn too!). In my previous post, I mentioned that consistent use of foreign language flashcards is an effective tool for rapid language acquisition. We'll do this in under 1 hour… but under a few conditions from me. If it is an online English to Hebrew translator you need, you have just found the best English to Hebrew translator around, and it is free! Babylon, the world's leading provider of language solutions, puts at your disposal an automatic translator for instant English to Hebrew translation of single words and phrases. Two other sides show one number and one animal paired with their Hebrew translations. The present-day Hebrew alphabet was developed from an alphabet known as Proto-Hebrew/Early Aramaic. Loading Unsubscribe from a tvokids? J KIDS TV 42,117 views. It serve the purpose for learning and travelers visiting HebrewLessons are divided into category and subcategory in a scientific way, try and feel. Biblical Hebrew Vocabulary: Kelley - Chapters 3-27. The modern Greek alphabet has 24 letters Hebrew Script practice sheets, Hebrew calendar sheets, Hebrew question words, Torah, Colors in Hebrew, and much more. Download the entire collection for only $27 (Single classroom license) Download the entire collection for. This first book in our "A Taste of Hebrew for Kids Series" in our Smart Kids Bright Future Children's Book Collection focuses on the Hebrew Alphabet. Teaches well! I know this says it's for kids and I have no doubt kids playing this would eventually learn Hebrew letters. alphabet kids textbooks. I am using Duolingo for part of my learning. But this latter is in mediate relation only to the original source, while the Hebrew Alphabet has kept closer to the primitive signs. It is a great way to learn the Hebrew alphabet as well as becoming familiar with Hebrew words and reading Hebrew. There are plenty of reasons for your child to learn Hebrew. Download 19 greek alphabet font free vectors. The links on the left contain English to Hebrew translations as well as other tools and info for learning Hebrew. Hebrew Alphabet Dough $22. This list is a resource for the meanings behind the names and their connections to the Jewish faith. Hebrew Software for Kids. The first step to learn Hebrew is, obviously, to study the Hebrew Alphabet. Alphabet Traditional quadrangle toy for kids - dreidel, for games in Hanukkah. Hebrew alphabet definition is - a Semitic alphabet used since about the 5th century b. EnchantedLearning. Shop high quality Hebrew T-Shirts from CafePress. The same with the man. " Below is a sampling of online courses and resources organized by category and alphabetically. Lucky for you, we have searched the internet for some of the best free alphabet cross stitch patterns. Payment is via paypal typically. The people who lived there were called Phoenicians. "Hebrew For Beginners" online initiative started at 2012. org offers Jewish art projects, lesson plans, activities and worksheets for Jewish holidays, Mitzvot, Torah, Israel and Hebrew. There are lots of places for children to sit during group discussion or story time. Jewish Education & Entertainment A wide variety of games, interactive worksheets, to help you read and write. CHAPTERS: 13 VERSES: 303. Learning Hebrew has never been this fun!. This article is mainly about Hebrew letters. The transliterations will help. The remaining sides contain more hand crafted. Loading Unsubscribe from a tvokids? J KIDS TV 42,117 views. INTRODUCE THEM TO A FOREIGN L. Choose from over a million free vectors, clipart graphics, vector art images, design templates, and illustrations created by artists worldwide!. With our free mobile app or web and a few minutes a day, everyone can Duolingo. Shop posters in a variety of sizes and designs to find the perfect fit for your room. Conditional Sentences III. For example, the Latin alphabet would work like this:. The Paleo-Hebrew alphabet persists today solely with the Samaritans. Unlike the other letters there is not a clear consensus of how to write the name of this letter. Rabbi Gold's Alef-Beis song. Check out all of the spectacular designs or make your own!. I am a 40-year-old man finally learning Hebrew after all these years and I must say that I love this app for teaching me the Hebrew alphabet. In other words, you want to read and write in Hebrew. Conjunctions A. Especially if you do not know Hebrew yourself, these are great tools to help your child (and to learn too!). We have developed LearningHebrew. Playing is one of the best ways to learn. The different colored letters will certainly attract the children and then can learn the language with more interest and ease. Related Searches. "It would be like our aleph beit game, but the reverse, for Hebrew-speaking kids to learn better English," she said. Used for hellos and goodbyes, and plenty of other uses in between. The transliterations will help. FAQ Page (Frequently Asked Questions). We have attempted to place as many online courses at your disposal as possible. The Hebrew Alphabet book. Complete these puzzles of Jewish Symbols - Star of David Confetti, Hanukkah Cookies, Menorah Lights, and Gelt and Dreidel. Studying at your own pace, you will master the Hebrew alphabet, sound out actual Hebrew words, and begin connecting your studies with your heart by. Wholesale Pewter Hebrew Alphabet Beads. TIME WRITTEN: Somewhere between A. Why It Matters. I was excited to share recently that my four-year-old was able to learn her letters and sounds using the Leap Frog Letter Factory. ABC Animals Rug (Hebrew Alphabet) by Joy Carpets. An alphabet is a kind of system used to represent language in written form. This web site will help you learn biblical Hebrew. You're sure to find a name that's best for you and your family. This first book in our "A Taste of Hebrew for Kids Series" in our Smart Kids Bright Future Children's Book Collection focuses on the Hebrew Alphabet. Please practice hand-washing and social distancing, and check out our resources for adapting to these times. Hebrew technical terms and specialized jargons from a variety of subjects and fields of study. 80 - Sold Out The kit including: 27 letter cutters 6 dough 2 rolling pin A kit for creating, designing and sculpting.</s>
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] |
<s> //
// Generating a DCC Signal using Timer2 and the Waveform Generator
//
#include <avr/io.h>
#include <avr/interrupt.h>
// PORTB maps to Arduino digital pins 8 to 13 The two high bits (6 & 7) map to the crystal pins and are not usable
#define DRIVE_1() PORTB = B00010000 // so this sets port 12 to 1, other ports (8,9,10,11,13) to 0
#define DRIVE_0() PORTB = B00001000 // so this sets port 11 to 1, other ports (8,9,10,12,13) to 0
#define SWITCH_PIN 7
#define LED_PIN 13
#define VE_PLUS_PIN 12
#define VE_MIN_PIN 11
#define TRIGGER_PIN 10
#define TRIG 2
#define TRIG_ON() PORTB |= _BV(TRIG)
#define TRIG_OFF() PORTB &= ~_BV(TRIG)
#define ENABLE_PIN 4
#define PATTERN_BYTES 18
#define COMMAND_BYTES 7
#define WAIT_A_STR 0 /* or testmode, or timer2 delta*/
#define WAIT_A_INT 1
#define WAIT_A_INT_0 100
#define WAIT_A_INT_1 101
#define WAIT_A_INT_2 102
#define WAIT_SEP_1 2
#define WAIT_DIR 3
#define WAIT_SEP_2 4
#define WAIT_S_STR 5
#define WAIT_S_INT 6
#define WAIT_TERM 7
#define WAIT_T_INT 8 /* testmode */
#define WAIT_D_INT_0 9
#define WAIT_D_INT_1 10
#define TIMER2_TARGET 114
const byte stop_pattern[] = { B10101010, B10101010, B10101010, B11001010, B11001100,
B11001100, B11001100, B11001100, B11001100, B11001010,
B11001100, B11001100, B11001100, B11001010, B11001100,
B11001100, B00000010, B00000000
};
const byte test_pattern[] = { B10101010, B10101010, B10101010, B11001010, B11001100,
B11001100, B10110010, B00110010, B11001011, B11001100,
B00110010, B00110011, B11001011, B10101100, B11101010,
B11001100, B00000010, B00000000
};
byte cmd_state = WAIT_A_STR;
byte timer2_target = TIMER2_TARGET;
int timer2_delta = 0;
unsigned int mycount = 0;
byte dcc_bit_pattern[PATTERN_BYTES];
byte dcc_bit_pattern_buffered[PATTERN_BYTES];
byte c_bit;
byte dcc_bit_count_target;
byte dcc_bit_count_target_buffered;
byte c_buf;
char dcc_address = 11;
char dcc_speed = 6;
boolean dcc_forward = true;
boolean valid_frame = false;
char in;
boolean got_command = false;
boolean stop_command = true;
void setup() {
// Messing
Serial.begin(9600);
show_bit_pattern();
// Setup Timer2
configure_for_dcc_timing();
pinMode(SWITCH_PIN, INPUT_PULLUP);
pinMode(LED_PIN, OUTPUT); // LED
pinMode(VE_PLUS_PIN, OUTPUT); // +ve
pinMode(VE_MIN_PIN, OUTPUT); // -ve
pinMode(TRIGGER_PIN, OUTPUT); // trigger
pinMode(ENABLE_PIN, OUTPUT); // enable
// Messing
build_frame(3, true, 2);
build_frame(5, false, 2);
load_new_frame();
c_buf = 0;
digitalWrite(ENABLE_PIN, HIGH);
sei(); // Enable interrupts
got_command = true;
}
ISR( TIMER2_COMPA_vect ) {
TCNT2 = 0; // Reset Timer2 counter to divide...
boolean bit_ = bitRead(dcc_bit_pattern_buffered[c_buf >> 3], c_buf & 7 );
if ( bit_ ) {
DRIVE_1();
} else {
DRIVE_0();
}
/* Trigger for start of packet */
/* if(c_buf == (dcc_bit_count_target_buffered >> 1) ){
TRIG_OFF();
} else if( c_buf == dcc_bit_count_target_buffered ) {
TRIG_ON();
}
*/
if (c_buf == 0 ) {
TRIG_ON();
} else {
TRIG_OFF();
}
/* Now update our position */
if (c_buf == dcc_bit_count_target_buffered) {
c_buf = 0;
load_new_frame();
} else {
c_buf++;
}
};
/**
This function is called from within the interrupt handler
so it cannot use Serial.print functions without failing.
*/
void load_new_frame() {
if ( valid_frame ) {
for (int i = 0; i < PATTERN_BYTES; i++) {
dcc_bit_pattern_buffered[i] = dcc_bit_pattern[i];
}
dcc_bit_count_target_buffered = dcc_bit_count_target - 1;
valid_frame = false;
}
};
void show_bit_pattern() {
for ( int i = 0; i < PATTERN_BYTES; i++) {
Serial.println(dcc_bit_pattern[i], BIN);
}
Serial.print(dcc_bit_count_target);
Serial.println(" bits.");
}
void configure_for_dcc_timing() {
/* DCC timing requires that the data toggles every 58us
for a '1'. So, we set up timer2 to fire an interrupt every
58us, and we'll change the output in the interrupt service
routine.
Prescaler: set to divide-by-8 (B'010)
Compare target: 58us / ( 1 / ( 16MHz/8) ) = 116
*/
// Set prescaler to div-by-8
bitClear(TCCR2B, CS22);
bitSet(TCCR2B, CS21);
bitClear(TCCR2B, CS20);
// Set counter target
OCR2A = timer2_target;
// Enable Timer2 interrupt
bitSet(TIMSK2, OCIE2A);
}
/* --------------------------------------------------------------
DCC Packet setup
--------------------------------------------------------------
*/
void bit_pattern(byte mybit) {
bitClear(dcc_bit_pattern[c_bit >> 3], c_bit & 7 );
c_bit++;
if ( mybit == 0 ) {
bitClear(dcc_bit_pattern[c_bit >> 3], c_bit & 7 );
c_bit++;
}
bitSet(dcc_bit_pattern[c_bit >> 3], c_bit & 7 );
c_bit++;
if ( mybit == 0 ) {
bitSet(dcc_bit_pattern[c_bit >> 3], c_bit & 7 );
c_bit++;
}
}
/* DCC pattern for this byte: MSB first */
void byte_pattern( byte mybyte ) {
for ( int i = 7; i >= 0; i-- ) {
bit_pattern( byte( bitRead( mybyte, i ) ) );
}
};
/* Preamble pattern, 14 '1's */
void preamble_pattern() {
for ( byte i = 0; i < 14; i++ ) {
bit_pattern(1);
}
}
/* Command Pattern */
byte calc_command_pattern( boolean dcc_forward, byte dcc_speed ) {
byte command_byte;
command_byte = B01000000 | ( dcc_forward << 5 ) | ( dcc_speed & B00011111 );
return command_byte;
};
/* Build the DCC frame */
void build_frame(byte dcc_address, boolean dcc_forward, byte dcc_speed) {
valid_frame = false;
byte dcc_command = calc_command_pattern( dcc_forward, dcc_speed );
byte dcc_checksum = dcc_command ^ dcc_address;
// Build up the bit pattern for the DCC frame
_build_frame(dcc_address, dcc_command, dcc_checksum);
valid_frame = true;
};
void build_idle_frame() {
valid_frame = false;
_build_frame(B11111111, B00000000, B11111111);
valid_frame = true;
};
void build_reset_frame() {
valid_frame = false;
_build_frame(B00000000, B00000000, B00000000);
valid_frame = true;
};
void _build_frame( byte byte1, byte byte2, byte byte3) {
// Build up the bit pattern for the DCC frame
c_bit = 0;
preamble_pattern();
bit_pattern(0);
byte_pattern(byte1); /* Address */
bit_pattern(0);
byte_pattern(byte2); /* Speed and direction */
bit_pattern(0);
byte_pattern(byte3); /* Checksum */
bit_pattern(1);
dcc_bit_count_target = c_bit;
};
void loop()
{
if (digitalRead(SWITCH_PIN) == HIGH)
{
dcc_address = 11;
dcc_forward = true;
dcc_speed = 10;
if (stop_command) {
got_command = true;
}
stop_command = false;
}
else
{
dcc_address = 0;
dcc_forward = true;
dcc_speed = 0;
if (not stop_command) {
got_command = true;
}
stop_command = true;
}
if ( got_command ) {
build_frame(dcc_address, dcc_forward, dcc_speed);
show_bit_pattern();
Serial.println(dcc_bit_count_target);
got_command = false;
}
}
void loop2()
{
if (digitalRead(SWITCH_PIN) == HIGH)
{
if (stop_command) {
valid_frame = false;
memcpy( dcc_bit_pattern, test_pattern, PATTERN_BYTES * sizeof(byte) );
dcc_bit_count_target = 118;
valid_frame = true;
got_command = true;
}
stop_command = false;
}
else
{
if (not stop_command) {
valid_frame = false;
memcpy( dcc_bit_pattern, stop_pattern, PATTERN_BYTES * sizeof(byte) );
dcc_bit_count_target = 130;
valid_frame = true;
got_command = true;
}
stop_command = true;
}
if ( got_command ) {
show_bit_pattern();
got_command = false;
}
}
</s>
|
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<s> using System.Collections.Generic;
using Core.DataAccess.Abstract;
using Entities.Concrete;
namespace DataAccess.Abstract
{
public interface IUserDal:IEntityRepository<User>
{
public User GetUserByEmailAndPassword(string email, string password);
public List<OperationClaim> GetUserOpeaClaims(int userId);
}
}
</s>
|
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59367,
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1615,
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2017,
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72,
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1972,
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2017,
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72,
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2110,
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2017,
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2849,
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2003,
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2003,
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5128,
3098,
1865,
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1385,
1664,
72,
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1417,
1580,
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5010,
1980,
1449,
5248,
1385,
1358,
14886,
1457,
59361,
59328,
4136,
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72,
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2104,
2017,
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1379,
8654,
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1457,
1952,
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1972,
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10020,
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72,
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11986,
1379,
21412,
18386,
11947,
59361,
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4697,
1712,
1385,
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1726,
7459,
1679,
12249,
1457,
5668,
1952,
11847,
1539,
1520,
21143,
1371,
1385,
1358,
3806,
59342,
1826,
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1432,
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11153,
1379,
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1842,
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1421,
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1358,
3299,
72,
1426,
21999,
2373,
59320,
59381,
41627,
12270,
1842,
8362,
74,
2376,
3806,
1980,
2351,
21412,
1952,
1441,
29966,
1385,
7802,
5577,
58177,
1952,
9983,
1510,
1449,
72,
1826,
59361,
1699,
1441,
2478,
47193,
2479,
1882,
1449,
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1352,
1377,
6020,
3996,
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1457,
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1385,
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23184,
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2478,
21741,
2336,
72,
59347,
15815,
2336,
1449,
2286,
1580,
1348,
4386,
1604,
29966,
1421,
3375,
1972,
14480,
2760,
1421,
4475,
5126,
59342,
1508,
3932,
1348,
4386,
1604,
29966,
1421,
1571,
7945,
1433,
1444,
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1508,
4386,
1604,
29966,
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72,
3163,
17743,
1449,
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1449,
2235,
1385,
4291,
1707,
1432,
3932,
1875,
8276,
1385,
5253,
1362,
1998,
1875,
10140,
2238,
46826,
1972,
13132,
2262,
59346,
5200,
72,
10363,
1410,
3882,
20460,
40910,
6279,
14596,
59320,
59345,
2003,
15503,
59342,
24657,
45291,
59342,
29390,
1604,
1421,
15818,
1466,
3770,
59361,
59328,
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5246,
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1382,
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41627,
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3299,
53208,
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1573,
72,
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1476,
44362,
72,
1413,
52702,
1377,
1863,
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3187,
29966,
1421,
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55801,
1384,
49055,
59340,
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74,
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21412,
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72,
72,
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1449,
59361,
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1580,
1358,
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1385,
2144,
1348,
42800,
1613,
1450,
59320,
59370,
59367,
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9614,
4475,
23075,
1450,
49055,
59340,
1671,
6713,
59216,
1432,
18367,
59342,
2110,
3932,
1348,
8331,
42800,
1613,
29966,
9589,
1421,
40368,
25301,
59342,
2110,
3351,
29966,
1421,
11267,
1570,
4021,
59342,
7089,
16268,
1645,
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1384,
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1472,
72,
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3932,
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5202,
1729,
1349,
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1450,
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1348,
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1613,
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2009,
72,
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2857,
59342,
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9867,
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1417,
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1385,
6297,
1348,
24290,
6795,
72,
4441,
59361,
59328,
2759,
59342,
1696,
1980,
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1675,
1449,
2629,
1476,
59361,
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2661,
5307,
1385,
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1951,
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72,
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1939,
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72,
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63,
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2110,
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63,
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3031,
72,
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72,
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5,
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72,
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1952,
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72,
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1952,
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1933,
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72,
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1972,
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11444,
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1371,
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72,
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21412,
10740,
59342,
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1510,
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1951,
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12901,
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72,
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72,
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2617,
1712,
3265,
2302,
1753,
4136,
4572,
1377,
4189,
1379,
7578,
3299,
2017,
72,
1417,
3370,
1895,
1417,
8856,
7130,
41627,
72,
1417,
2629,
1358,
4702,
2104,
10217,
59361,
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40410,
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10746,
3829,
3235,
72,
1507,
3200,
59328,
15948,
1385,
1972,
1358,
5010,
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1828,
59361,
1699,
5490,
1675,
1476,
16982,
72,
1900,
7360,
10740,
2121,
5156,
4079,
59361,
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41627,
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72,
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5,
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72,
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1952,
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1952,
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1952,
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72,
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2042,
23740,
1358,
9553,
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1358,
8078,
28724,
1405,
1958,
72,
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1421,
1745,
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1536,
20197,
1377,
1358,
3299,
72,
3163,
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1405,
1958,
59342,
24245,
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73,
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8078,
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19822,
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73,
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59358,
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1379,
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8020,
59342,
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72,
1826,
1952,
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<s> Content Count
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About Kiyomi
Was asking about the same thing. I started over but it would be amazing to at least get the gems and exclusives (survived loot-pocalypse skins for example) for the console version. I just want to play the gun witch I bought but never got to play because my cpu broke. :,( Please give us some sort of repsonse [[4370,users]] or [[64025,users]]
It wouldn't be a huge problem if not for the fact I put over $100 into the pc version of this game I bought every steam dlc available for this game up to the gun witch. I have not played since her release. I tried starting over....but it's just too disheartening to have nothing of what I worked so hard to gain...
I have been supporting Dungeon Defenders 2 since almost the beginning of early access. But about a year ago my computer broke. I have a ps4 and have been wanting to play dd2...but all of my stuff is on my steam account. I bought tons of cosmetics along with the $60 edition of the game and the gun witch (whom I never got to play, since that is right when my cpu broke). I was hoping there might be some way to connect/transfer it all over to my account on ps4. I would really appreciate a response Trendy, I really live this game but haven't been able to enjoy it for a while.
No actually, it's terrible for solo. Less option = less strategy. This is pretty straightforward. Make each tower better in certain circumstances and have combos between them. Like that, people won't only use the strongest defense everywhere. I wasn't saying it adds a TON of strategy, it adds a very limited amount, much less than if you didn't have it or had more slots. Having unlimited heroes would mean you could do a lot more, like having 5 huntresses, 4 of which have a mastery of 1 of the towers, and the 5th being a dps. I like this idea. The hero deck does involve strategy, but not enough. So when I was saying that, what I meant was, "yes it adds strategy, but not the right kind, or the right amount."
I'm going to have our team talk more about this soon, but you hit the nail on the head. It ultimately comes down to having very limited ways of "winning," which is leading to stale gameplay. It's a multi-faceted issue from a variety of factors. The current Tower Defense gameplay is unbalanced due to a variety of systems making certain towers undeniably better than others and the other towers not being in a competitive state. (In regards to system refinements: When we say that everything is on the table for improvements, we mean everything. We're looking at every system in the game to refine.) Heroes right now don't have strongly defined "roles" with strengths and weaknesses. Design is creating new heroes to have more defined roles with strengths and weaknesses, and we're planning to loop back to the four current heroes and update them to have more defined roles (I think we'll be talking more about this when we talk about the Abyss Lord in the next update). Enemies also don't encourage the strength/weakness idea of heroes, so that's something the design team is also investigating this year. I believe we're going to begin with enemy tweaks and move on to adding new enemies to the mix. So the overall idea is that you as a player will be able to select four heroes from a large pool of heroes. Your deck, like all decks, will have strengths and weaknesses, and it's up to you to figure out how to complete content knowing what those strengths and weaknesses are. It's about getting the game to state of balance where defenses are competitive with each other. It's about getting the game to a state where there isn't one obvious path forward to completing content -- that there a vast variety of deck configurations that will work -- and that your deck will functionally complete content in a different way from someone else's deck. Does a limit of 4 heroes encourage strategy? Yes. It adds strategy, but not the right kind, or the right amount. Many Players don't like the deck, giving the deck such a big purpose doesn't satiate players, it just upsets them more. If people don't like a character in a game that players also feel is too serious, do you make them more prominent and comical to remedy that? No, the problem is the character, and people will still hate the character. Just like how people hate the hero deck and feel the game lacks proper strategy, and making it more prominent and strategic (through forcing people to work with the deck) only makes people even more upset. I've been creating a tabletop and having it playtested over the past 3 years, so I can see where you're coming from. You like the hero deck and want to work it in, that's fine. But if you want your player-base to be happy, you need to make a compromise, not just make your original idea work. I learned that over the course of development of my tabletop. There were many things I had to change or get rid of in order to make things better. I took from other tabletops and prioritized making a good tabletop over a unique one. Once I had made a good foundation based upon things that are known to work, I could then focus on making things more unique. You guys don't need the Hero deck to be unique, Dungeon Defenders 1 didn't have it and it stood out. Keep the Hero Deck if you want, but please loosen it up and give it real purpose, AND encourage players to work with it rather than submit and trudge through it, which is what it feels like now. And just so that I don't seem like one of those people who say something needs to change, but offers no input as to how, this is my 2 cents. First: No more "Unlock at lvl blank" if people want to grind up each hero before proceeded to the next map, let them. That's part of the fun of it. And it helps with solo play Second: No more arbitrary numbers for the ammount of heroes you can have. What I mean by that is, we have 4 heroes in the deck right now, don't just add one and say that fixes it. Take into account the strengths and weeknesses of each hero, whether they are in the game currently or not, and see what kinds of strategy you can have with different combinations. Look for game breaking ones, if having heroes a b c d e f and g breaks the game and buffing or nerfing that combo would break the balance, then maybe 7 heroes in the deck are too much, try 6. Don't set a number before you have a valid reason, saying "it adds strategy" without seeing all the possibilities isn't solid enough a reason for most players. Third: With multiple builds options, multiple heroes, and a hero deck, giving people only 4 character slots to begin with and more being $4.50 and your game being free to play, designing the game's difficulty becomes too problematic. Making it more difficult and strategy based will make it pay to win. This may seem somewhat unrelated, however, the ammount of starting character slots should be AT LEAST the amount of hero deck slots if not +2 that. I feel you've limited yourselves too much by making so many things cost so much or just have a cost in general. Costumes can be monetized, that's fine, but monetizing things like hero slots limits what you can do with the game's balance.
This is planned to be Free to play when it hits official release. Until then it's pay to play early access with free premium currency given as compensation for putting money in. You pay 25 to get access to the game and get $30 of premium currency, that doesn't sound scumbagish to me.
I for one am glad they added the system in and am happy with it too. They have quite a bit of premium content already and are making more. We were going to run out of the free premium we got eventually and the new system seems very nice! Getting bonus gems at tiers is a nice touch I had never considered. Good on ya in my opinion Trendy. :) And I doubt this means they're going to be focusing more on premium content than they have been. Premium is a suppliment to the game, if you want proof look at what they've been adding to the hotfixes to see their focal point.
Because currently it stops people abusing each defense individually. For example: It makes the choice for you, because when 6 hero slots are available, you'd have heroes specifically tuned for each combo which would be overpowered. Why use a waller squire to build cannon's if you had a monk and apprentice in your arsensal? Now you'd have multiple squires available to build each defense more efficient individually without losing that powerful monk and apprentice! (How is that balanced?) Ask yourself. Why use a flameburst apprentice to build your earthshatters, and your frostbites, when you have other apprentices to build each defense more efficient individually. (How is that balanced again?) Ask yourself. Now you'll have heroes with specific mods finely tuned for their specific role. (That seems really overpowered to me.) I have no idea how you came to the conclusion that's fun, and better yet not making the game unbalanced. A lot of people play League of Legends so that would be like the equivalent of having each rune merged onto every character and saying 'it's totally more fun to do it this way, screw the balance and the sake of the future of our game.' While the extent of hero deck wouldn't live up to the disastrous mess that League would conjure by resorting to the above, It's still on the same pathway of destroying any hope for having a challenge in the game. (Why does 6 heroes destroy any challenge? read above how each hero would be tuned to counter everything trendy would throw at you. It'll be even WORSE when you're in party groups, that's going to be hilarious to see all content get completely stomped even harder now.) Right now you could have a squire tuned for something like defense health for blockades, or having a squire tuned for cannon stun, or squire tuned for ballistae. But obviously you couldn't take all three, unless you want to miss out on having other characters to utilitise other roles / spheres like boost monk etc. Which is why Dungeon Defenders 1 had EV, Summoner, Squire for Ballistae's, Monk's for Auras, and various other builders along with powerful DPS heroes because that didn't ruin the game fundamentally, definitely not. Just made it FUN. Spheres in my opinion was introduced because why have a single character tuned for flameburst and frostbite simultaneously? Now the additional hero slots remove that incapability.. because now you'd have the solution to make a apprentice with 45% ice block proc with frostbite slow mods on gear, then having a separate apprentice tuned specifically for flame burst, then another tuned for Earth shatter, completely covering all basis and all combos. Imagine having a geyser huntress with a lightning aura monk, a frostbite apprentice, a earth shatter apprentice, a blockade squire and a cannon mod squire for cannon's to have a percentage chance to stun. What am I saying? Not overpowered hero lineup at all, especially when solo players will be abusing the hell out of these. Anyways, continue driving, I'm sure we're bound not to hit a brick wall. That's true, but how long do you think it'd take someone to level all of those Heroes and get all of that gear? By the time somebody would do that the only thing left for them to do would be revel in the power and efficiency, ESPECIALLY if the level cap is raised to 50/100. If somebody wants to put that much time and effort into all of that then I say let 'em and reward 'em. Just my two cents. Now, if it changes the entire game to revolve around that style of game-play, then I whole-heartedly object. It just needs a lot of time and effort put into balancing.
I was going to suggest this. It would really add immersion to the game and make playing a lot more enjoyable. Aye. So would having another hero or two on the roster that isn't a slightly different copy of all the others the way the first four are. I really do feel like using all humans has been restricting us creatively, both the players and the design team. I'm actually more worried about the hero vote, the weather vote is actually way ahead of it atm and well into a safe zone for implementation. I'd really appreciate if you guys voted a bit more on the hero's as well as the weather. They open up too many more fun options in terms of actual game play. I put some IPs towards heroes. I think the reason people aren't voting for it is because Trendy confirmed that no new heroes are coming until after it leaves early access. The devs seemed to like the idea so they'll probably do it regardless. This influence vote most likely won't determine whether diverse heroes get in or not, but it probably WILL determine the quality.
I think the reasoning behind that is the description makes it basically an ogre that ignores people. A kobold king would be the boss of all kobolds, so it would need its own incursion area. Otherwise the wyvern special enemy would be betsy herself. For the market hub there has been the general idea that a market hub = trading added. Because of the word market. The thing with the ui is both because beginners have it a little hard, and organization atm is kinda argh. And that intro sequence which frankly looked amazing. I don't see why it needs SO many votes either though. XD I liked it because it reminds me of Kingdom hearts the way the hero health and mana are set up. As well as the little flinching chibi huntress head. :3
So I just watched the Devstream and heard about the amazing Bearacade. I for one want this tower in the game. But not just the Bearacade, oh no! I want an amazingly punny tower for ALL of the heroes! Such as: The poison Fart Tower: Instead of shooting poisonous darts, it spreads a wave of gas that wafts through foes poisoning them. It would have an AOE but be restricted to ground enemies with a slow charge time. If anyone else has an idea for a tower leave a suggestion!</s>
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<s> local({
r <- getOption("repos")
r["CRAN"] <- "https://cran.r-project.org"
options(repos=r)
})
## custom function
# install package list
install_pkg <- function(pkg_list) {
message("-------------------------------------")
message(paste("Installing pkgs to", .libPaths()[1]))
message("-------------------------------------")
# current installed packages
cur_pkg_list <- installed.packages()[,1]
# current installed and out-dated packages
old_pkg_list <- old.packages()[,1]
# package up-to-date
pkg_ok_list <- pkg_list[(pkg_list %in% cur_pkg_list) &
!(pkg_list %in% old_pkg_list)]
if(length(pkg_ok_list) > 0) {
message("-- Available and up-to-date packages:")
message(paste(pkg_ok_list, collapse = "\n"))
message("-------------------------------------")
}
# package to update
pkg2update_list <- pkg_list[pkg_list %in% old_pkg_list]
if(length(pkg2update_list) > 0) {
message("-- Packages to update:")
message(paste(pkg2update_list, collapse = "\n"))
message("--> updating")
Sys.sleep(2)
install.packages(pkg2update_list)
message("-------------------------------------")
}
# missing package
missing_pkg_list <- pkg_list[!pkg_list %in% cur_pkg_list]
if(length(missing_pkg_list) > 0) {
message("-- Missing packages:")
message(paste(missing_pkg_list, collapse = "\n"))
message("--> installing")
Sys.sleep(2)
install.packages(missing_pkg_list)
message("-------------------------------------")
}
}
</s>
|
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5,
2
] |
<s> <template>
<div id="app">
<b-navbar class="is-info navbar-custom">
<template slot="brand">
<b-navbar-item href="/">
<b-icon icon="timelapse" size="is-medium"></b-icon>
<h1 style="margin-left: 10px">Change The Future</h1>
</b-navbar-item>
</template>
<template slot="start">
<b-navbar-item @click="status='mygames'">
My Games
</b-navbar-item>
<b-navbar-item @click="status='new'">
New
</b-navbar-item>
</template>
</b-navbar>
<MyGameList v-if="status == 'mygames'" @go-to-game="status='game'"></MyGameList>
<GameList v-if="status == 'new'" @error="addErrorMessage"></GameList>
<Game v-if="status == 'game'"></Game>
<section id="error-message-area">
<b-notification
v-for="m in notificationMessages"
:key="m.message"
:type="m.type"
aria-close-label="Close notification"
role="alert"
style="margin-bottom: 5px">
{{ m.message }}
</b-notification>
</section>
</div>
</template>
<script>
import Vue from 'vue'
import Buefy from 'buefy'
import 'buefy/dist/buefy.css'
Vue.use(Buefy)
import Game from './components/Game.vue'
import GameList from './components/GameList.vue'
import MyGameList from './components/MyGameList.vue'
export default {
name: 'app',
components: {
Game, GameList, MyGameList
},
data() {
return {
status: 'mygames',
notificationMessages: []
}
},
methods: {
addErrorMessage(type, message) {
this.notificationMessages.push({
type: type,
message: message
})
}
}
}
</script>
<style>
#app {
font-family: 'Avenir', Helvetica, Arial, sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
text-align: center;
color: #2c3e50;
/*margin-top: 60px;*/
}
#error-message-area {
position: fixed;
bottom: 5px;
right: 5px;
}
</style>
</s>
|
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1,
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73,
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63,
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59347,
5,
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64,
59386,
7197,
1889,
59354,
5970,
1538,
55608,
59360,
41977,
5,
2
] |
<s> #!/bin/bash
nodeVersion=$(node -v)
npmVersion=$(npm -v)
herokuCliVersion=$(npm view heroku version)
echo "Generating cache key from dependencies [node, npm, heroku]"
stringToHash="${nodeVersion} ${npmVersion} ${herokuCliVersion}"
hashed=$(shasum <<< stringToHash | cut -f 1 -d ' ')
echo "Hashed \"${stringToHash}\" -> \"${hashed}\""
echo "node_dep_hash=$hashed" >> $GITHUB_OUTPUT
</s>
|
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1467,
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26181,
72,
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1348,
13789,
20825,
1508,
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25930,
1659,
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5225,
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1982,
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1743,
1348,
5120,
1457,
1571,
6395,
1385,
34863,
59361,
59328,
3697,
72,
2
] |
<s> Perhaps it would be wiser for petting zoos to function solely as viewing attractions. A recent study has revealed that these facilities may harbor a multitude of multi-drug resistant (MDR) bacterial strains, posing a significant health risk to visitors, especially children, who could unwittingly carry these pathogens home on their skin and clothing.
In an era marked by convenience and abundance, the origins of our food remain a mystery to many. A survey conducted among 1,000 British children aged 6 to 12 found that one-fifth were unaware that apples grow on trees, while over 90% did not know that bananas and strawberries originate from plants.
Medical emergencies, besides being physically taxing, can also impose a substantial financial burden on patients. A recent survey of 2,000 American adults found that half had postponed a medical or dental procedure due to cost-related concerns, sometimes even when immediate care was necessary.
The art of customer service, while crucial, can be equally challenging and stressful for employees as it is for customers. A new study suggests that workers who suppress their true feelings and maintain a forced smile or hide annoyance in front of customers may be more likely to engage in heavier alcohol consumption after their shift.
In their 1988 hit song 'Parents Just Don't Understand', DJ Jazzy Jeff and The Fresh Prince encapsulated the age-old sentiment of adolescents, who often perceive their parents as being out of touch. However, this dynamic appears to be a universal phenomenon, with parents across the globe experiencing similar communication challenges with their children.
Mental health disorders affect one in five children, with depression and anxiety rates showing a notable increase over the past three decades. However, a recent study found that less than one-third of these children have had any contact with mental healthcare providers.
It seems that Americans place a high premium on oral health and hygiene, with a recent survey indicating that they worry more about their teeth than any other aspect of their appearance, even more so than their hair.
Emerging research is progressively illuminating the perils of chronic traumatic encephalopathy (CTE), especially in youth, sparking debate among parents and educators who worry about the potential harm to children participating in contact sports. A recent study has revealed that athletes engaged in contact sports are more likely to develop Lewy Body Disease (LBD), a condition that can progress to Parkinson's disease.</s>
|
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2
] |
<s> Header: Cosmic Exploration Module
Section: Knowledge Repository
Title: Piercing the Veil: Unraveling Cosmic Enigmas and Riddles
Piercing the Veil: Unraveling Cosmic Enigmas and Riddles
Date: November 12, 2023
The cosmos, an immense and enigmatic realm, has long captivated human curiosity. Despite numerous unanswered queries, scientists and astronomers have made substantial progress in unraveling some of its secrets. Here are several fascinating aspects of the universe that continue to intrigue the scientific community:
1. Dark Matter and Dark Energy
- Dark Matter: Comprising approximately 27% of the universe, dark matter is an elusive substance that neither emits, absorbs, nor reflects light. Its existence is inferred through its gravitational influence on visible matter, with only about 5% of the universe being composed of ordinary matter (atoms).
- Dark Energy: Accounting for about 68% of the universe, dark energy is a mysterious force driving the accelerated expansion of the cosmos. Its nature remains one of the most perplexing conundrums in astrophysics.
2. Cosmic Inflation Theory
The theory of cosmic inflation posits that the universe underwent an exponential expansion during the initial moments following the Big Bang. This hypothesis helps explain the uniformity of the cosmic microwave background radiation and the large-scale structure of the universe.
3. Black Holes: A Realm of Mystery
While black holes are well-established phenomena, much remains unknown about them, particularly the nature of the singularity at their core and the interplay between quantum mechanics and gravity at the event horizon.
4. Multiverse Hypothesis: A World of Possibilities
Some theoretical physicists propose the existence of a multiverse, where our universe is but one among many, each with its unique physical constants and fundamental laws. The multiverse hypothesis, though speculative, offers an intriguing avenue for exploration.
5. The Essence of Time
- The origin and fundamental structure of time remain open questions in physics and philosophy. Concepts such as time dilation near massive objects, as predicted by Einstein's theory of relativity, further complicate our understanding of time's nature.
6. Exoplanets and Extraterrestrial Life
The identification of exoplanets within the habitable zones of distant stars has invigorated the quest for extraterrestrial life. Although no concrete evidence has yet been uncovered, ongoing exploration of Mars and the outer planets' moons remains a thrilling avenue for potential discovery.
7. Quantum Entanglement
Quantum entanglement is a phenomenon wherein particles become interconnected, such that the state of one particle instantaneously influences the state of another, regardless of the distance separating them. This phenomenon challenges our classical understanding of space and time.
8. Origin of the Universe
The ultimate question of how the universe came into being—the origin of the Big Bang itself—remains one of the most profound enigmas. Understanding the initial conditions of the universe and what preceded the Big Bang continues to be a significant challenge for cosmologists.
9. Quantum Gravity
Unifying the principles of quantum mechanics and general relativity into a single, coherent theory of quantum gravity is a major challenge in theoretical physics. Understanding the behavior of gravity on the smallest scales, such as within black holes, remains an open question.
10. Gamma-Ray Bursts (GRBs)
GRBs are incredibly energetic explosions that release more energy in a matter of seconds than our sun will in its entire lifetime. The exact nature and origin of GRBs are still not fully understood, although they are thought to be associated with the deaths of massive stars or the merging of neutron stars.
11. Cosmic Rays
High-energy particles, known as cosmic rays, constantly bombard Earth from space. The origin of these particles, some of which carry energies far exceeding those produced by our most powerful particle accelerators, remains a mystery.
12. Nature of Dark Fluid
Beyond dark matter and dark energy, some theories propose the existence of a dark fluid with repulsive gravity that could be driving the accelerated expansion of the universe. The nature and existence of this hypothetical substance are yet to be confirmed.
13. Celestial Tug-of-War
Our galaxy, and numerous others, are being drawn towards a mysterious region of space dubbed the Great Attractor. The exact cause of this gravitational pull, concealed behind the Milky Way, remains an enigma.
14. Pioneer's Peculiar Path
The trajectories of Pioneer 10 and 11 spacecraft deviated slightly from predictions as they ventured away from the Sun. The cause of this anomaly, known as the Pioneer anomaly, is still a topic of debate and conjecture.
15. Quantum Consciousness Dilemma
The relationship between quantum mechanics and consciousness is a subject of ongoing philosophical and scientific discourse. Some theories propose that quantum principles may influence the nature of consciousness, but this remains a speculative field.
16. Baryonic Matter's Mystery
Observations of the universe suggest a significant amount of baryonic matter (like protons and neutrons) is unaccounted for. The quest to locate these "missing baryons" is a pressing astrophysical mystery.
17. Hawking's Black Hole Emission
According to Stephen Hawking's theory, black holes should emit radiation due to quantum effects near their event horizons. Although this Hawking radiation has not been directly observed, its implications for black holes' ultimate fate are still under investigation.
18. Fermi's Puzzle
Physicist Enrico Fermi famously questioned, "Where is everybody?" highlighting the apparent contradiction between the high likelihood of extraterrestrial civilizations and the lack of evidence or contact. The Fermi Paradox raises questions about the factors limiting advanced civilizations' emergence or our ability to detect them.
19. Neutrino's Elusive Nature
Neutrinos, extremely elusive subatomic particles, interact very weakly with matter. Understanding their masses, oscillations, and potential roles in the universe, such as in dark matter or cosmic acceleration, is a challenge in particle physics and astrophysics.
20. Information Paradox in Black Holes
The information paradox in black holes posits that information about an object that falls into a black hole should be lost forever, contradicting the principles of quantum mechanics. Resolving this paradox is a key challenge in theoretical physics.
The destiny of data that plunges into a black hole presents a substantial conundrum to our comprehension of physics' core principles. The information paradox emerges from the apparent clash between the conservation of information and general relativity's predictions in the realm of black hole physics.
The Kuiper Belt and Oort Cloud, located in the outer reaches of our solar system, hold remnants from its early formation. Unraveling their structure, composition, and dynamics can offer insights into our solar system's history.
Identifying the specific stellar types that culminate in supernova explosions (supernova progenitors) remains an ongoing challenge, despite understanding the general process. The triggers and conditions behind these cataclysmic stellar events are still not fully understood.
The cosmic microwave background (CMB) radiation offers a glimpse into the early universe. However, anomalies such as unexpected temperature fluctuations raise questions about the early conditions and the cosmos' evolution.
Quasars, distant galaxies' incredibly bright and energetic cores, are powered by supermassive black holes' accretion. The precise mechanisms driving quasar activity and their role in galactic evolution are active areas of research.
While progress has been made in understanding life's necessary conditions, the origin of life itself remains a profound enigma. Uncovering the processes that led to life's emergence on Earth and exploring the potential for extraterrestrial life are ongoing scientific pursuits.
The ultimate fate of the universe is a subject of both speculation and investigation. Whether it will continue expanding indefinitely, eventually contract, or experience a more exotic destiny is a question that cosmologists are actively exploring.
As technological progress continues and fresh observations and experiments are undertaken, the enigmas of the universe are persistently explored. Each revelation, regardless of its scale, incrementally enhances our comprehension of the cosmos, moving us closer to a more holistic understanding.</s>
|
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<s> Students are urged to discover significant ways to contribute to both their school and the broader community. At Rainard, we believe that many gifted students learn at their own pace and have deep passions that necessitate a personalized educational approach. Our small class sizes, low student-to-teacher ratios, mixed-age classrooms, and tailored instruction are designed to cater to the unique needs of each gifted student. The school's intimate atmosphere, curriculum focused on responsibility and compassion, and interactive learning spaces foster students' academic, social, and emotional growth. We celebrate and reinforce students' interests through experiential and problem-based learning tailored to their individual pursuits. We also believe that gifted students' diverse and multimodal thinking drives a strong desire for exploration and deep understanding. We support this curiosity through engaging learning experiences such as frequent field trips, self-directed projects, and peer collaboration. We emphasize critical thinking through creative problem-solving, effective communication, teamwork, and information literacy. Rainard is accredited by Cognia, which sets performance standards for continuous improvement and defines the qualities of a good educational institution, guiding our efforts to actively grow learners, educators, leaders, and the organization itself.</s>
|
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<s> import scrapy
import js2xml
from bs4 import BeautifulSoup
from lxml import etree
from Constellations.Constellations.items import ConstellationsItem
#from Constellations.items import ConstellationsItem
class ConstellationsCrawler(scrapy.Spider):
name = 'constellations'
allowed_domains = ['astro.click108.com.tw', 'refer.click108.com.tw']
start_urls = ['http://astro.click108.com.tw/']
def parse(self, response):
res = BeautifulSoup(response.body, 'lxml')
for news in res.select('div .STAR12_BOX li'):
yield scrapy.Request(news.select('a')[0]['href'], callback = self.parse_detail, dont_filter = True)
def parse_detail(self, response):
res = BeautifulSoup(response.body, 'lxml')
scripts = res.find_all('script')
for script in scripts:
src_text = js2xml.parse(script.string, encoding='utf-8',debug=False)
src_tree = js2xml.pretty_print(src_text)
selector = etree.HTML(src_tree)
yield scrapy.Request(selector.xpath("//right/string/text()")[0] + '/', callback = self.parse_detail2, dont_filter = True)
def parse_detail2(self, response):
res = BeautifulSoup(response.body_as_unicode(), 'lxml')
constellationsItem = ConstellationsItem()
for horoscope in res.select('div .HOROSCOPE_BTN'):
constellationsItem['name'] = horoscope.select('h3')[0].text
constellationsItem['date'] = response.selector.xpath('//select[@id="iAcDay"]/option[@selected="selected"]/text()').extract()[0]
for content in res.select('div .TODAY_CONTENT'):
constellationsItem['whole_star'] = content.select('p')[0].text
constellationsItem['whole_desc'] = content.select('p')[1].text
constellationsItem['love_star'] = content.select('p')[2].text
constellationsItem['love_desc'] = content.select('p')[3].text
constellationsItem['work_star'] = content.select('p')[4].text
constellationsItem['work_desc'] = content.select('p')[5].text
constellationsItem['money_star'] = content.select('p')[6].text
constellationsItem['money_desc'] = content.select('p')[7].text
return constellationsItem
</s>
|
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] |
<s> // ******************************************************************************
//
// Filename: Renderer.cpp
// Project: Vox
// Author: Steven Ball
//
// Purpose:
//
// Revision History:
// Initial Revision - 12/10/15
//
// Copyright (c) 2005-2015, Steven Ball
//
// ******************************************************************************
#include "../glew/include/GL/glew.h"
#include "Renderer.h"
bool useGLSL = false;
bool extensions_init = false;
bool bGeometryShader = false;
bool bGPUShader4 = false;
bool HasGeometryShaderSupport();
bool HasGLSLSupport();
bool InitOpenGLExtensions();
bool HasShaderModel4();
Renderer::Renderer(int width, int height, int depthBits, int stencilBits)
{
m_windowWidth = width;
m_windowHeight = height;
m_stencil = false;
m_depth = false;
// Default clipping planes
m_clipNear = 0.1f;
m_clipFar = 1000.0f;
// Is depth buffer needed?
if (depthBits > 0)
{
glEnable(GL_DEPTH_TEST);
glClearDepth(1.0f);
glDepthFunc(GL_LESS);
m_depth = true;
}
// Is stencil buffer needed?
if (stencilBits > 0)
{
glClearStencil(0);
m_stencil = true;
}
// Initialize defaults
m_cullMode = CM_NOCULL;
m_primativeMode = PM_TRIANGLES;
m_activeViewport = -1;
InitOpenGLExtensions();
}
Renderer::~Renderer()
{
unsigned int i;
// Delete the vertex arrays
for (i = 0; i < m_vertexArrays.size(); i++)
{
delete m_vertexArrays[i];
m_vertexArrays[i] = 0;
}
// Delete the viewports
for (i = 0; i < m_viewports.size(); i++)
{
delete m_viewports[i];
m_viewports[i] = 0;
}
// Delete the frustums
for (i = 0; i < m_frustums.size(); i++)
{
delete m_frustums[i];
m_frustums[i] = 0;
}
// Delete the materials
for (i = 0; i < m_materials.size(); i++)
{
delete m_materials[i];
m_materials[i] = 0;
}
// Delete the textures
for (i = 0; i < m_textures.size(); i++)
{
delete m_textures[i];
m_textures[i] = 0;
}
// Delete the lights
for (i = 0; i < m_lights.size(); i++)
{
delete m_lights[i];
m_lights[i] = 0;
}
// Delete the FreeType fonts
for (i = 0; i < m_freetypeFonts.size(); i++)
{
delete m_freetypeFonts[i];
m_freetypeFonts[i] = 0;
}
}
void Renderer::ResizeWindow(int newWidth, int newHeight)
{
m_windowWidth = newWidth;
m_windowHeight = newHeight;
}
// Viewport
bool Renderer::CreateViewport(int bottom, int left, int width, int height, float fov, unsigned int *pID)
{
Viewport* pViewport = new Viewport();
Frustum* pFrustum = new Frustum();
pViewport->Bottom = bottom;
pViewport->Left = left;
pViewport->Width = width;
pViewport->Height = height;
pViewport->Fov = fov;
pViewport->Aspect = (float)width / (float)height;
// Create the perspective projection for the viewport
glMatrixMode(GL_PROJECTION);
glPushMatrix();
glLoadIdentity();
gluPerspective(fov, pViewport->Aspect, m_clipNear, m_clipFar);
float mat[16];
glGetFloatv(GL_PROJECTION_MATRIX, mat);
pViewport->Perspective = mat;
glPopMatrix();
// Setup the frustum for this viewport
pFrustum->SetFrustum(fov, pViewport->Aspect, m_clipNear, m_clipFar);
// Push this frustum onto the list
m_frustums.push_back(pFrustum);
// Create the orthographic projection matrix for the viewport
float coordright = 1.0f;
float coordleft = -1.0f;
float coordtop = 1.0f;
float coordbottom = -1.0f;
memset(&(pViewport->Orthographic), 0, sizeof(Matrix4x4));
pViewport->Orthographic.m[0] = 2.0f / (coordright - coordleft);
pViewport->Orthographic.m[5] = 2.0f / (coordtop - coordbottom);
pViewport->Orthographic.m[10] = -2.0f / (m_clipFar - m_clipNear);
pViewport->Orthographic.m[12] = -(coordright + coordleft) / (coordright - coordleft);
pViewport->Orthographic.m[13] = -(coordtop + coordbottom) / (coordtop - coordbottom);
pViewport->Orthographic.m[14] = -(m_clipFar + m_clipNear) / (m_clipFar - m_clipNear);
pViewport->Orthographic.m[15] = 1.0f;
// Create the 2d projection matrix for the viewport
coordright = (float)m_windowWidth;
coordleft = 0.0f;
coordtop = (float)m_windowHeight;
coordbottom = 0.0f;
memset(&(pViewport->Projection2d), 0, sizeof(Matrix4x4));
pViewport->Projection2d.m[0] = 2.0f / (coordright - coordleft);
pViewport->Projection2d.m[5] = 2.0f / (coordtop - coordbottom);
pViewport->Projection2d.m[10] = -2.0f / (m_clipFar - m_clipNear);
pViewport->Projection2d.m[12] = -(coordright + coordleft) / (coordright - coordleft);
pViewport->Projection2d.m[13] = -(coordtop + coordbottom) / (coordtop - coordbottom);
pViewport->Projection2d.m[14] = -(m_clipFar + m_clipNear) / (m_clipFar - m_clipNear);
pViewport->Projection2d.m[15] = 1.0f;
// Push this viewport onto the list
m_viewports.push_back(pViewport);
// Return the viewport id
*pID = (int)m_viewports.size() - 1;
return true;
}
bool Renderer::ResizeViewport(unsigned int viewportid, int bottom, int left, int width, int height, float fov)
{
Viewport* pViewport = m_viewports[viewportid];
Frustum* pFrustum = m_frustums[viewportid];
pViewport->Bottom = bottom;
pViewport->Left = left;
pViewport->Width = width;
pViewport->Height = height;
pViewport->Fov = fov;
pViewport->Aspect = (float)width / (float)height;
// Create the perspective projection for the viewport
glMatrixMode(GL_PROJECTION);
glPushMatrix();
glLoadIdentity();
gluPerspective(pViewport->Fov, pViewport->Aspect, m_clipNear, m_clipFar);
float mat[16];
glGetFloatv(GL_PROJECTION_MATRIX, mat);
pViewport->Perspective = mat;
glPopMatrix();
// Resize the frustum
pFrustum->SetFrustum(pViewport->Fov, pViewport->Aspect, m_clipNear, m_clipFar);
// Create the orthographic projection matrix for the viewport
float coordright = 1.0f;
float coordleft = -1.0f;
float coordtop = 1.0f;
float coordbottom = -1.0f;
memset(&(pViewport->Orthographic), 0, sizeof(Matrix4x4));
pViewport->Orthographic.m[0] = 2.0f / (coordright - coordleft);
pViewport->Orthographic.m[5] = 2.0f / (coordtop - coordbottom);
pViewport->Orthographic.m[10] = -2.0f / (m_clipFar - m_clipNear);
pViewport->Orthographic.m[12] = -(coordright + coordleft) / (coordright - coordleft);
pViewport->Orthographic.m[13] = -(coordtop + coordbottom) / (coordtop - coordbottom);
pViewport->Orthographic.m[14] = -(m_clipFar + m_clipNear) / (m_clipFar - m_clipNear);
pViewport->Orthographic.m[15] = 1.0f;
// Create the 2d projection matrix for the viewport
coordright = (float)m_windowWidth;
coordleft = 0.0f;
coordtop = (float)m_windowHeight;
coordbottom = 0.0f;
memset(&(pViewport->Projection2d), 0, sizeof(Matrix4x4));
pViewport->Projection2d.m[0] = 2.0f / (coordright - coordleft);
pViewport->Projection2d.m[5] = 2.0f / (coordtop - coordbottom);
pViewport->Projection2d.m[10] = -2.0f / (m_clipFar - m_clipNear);
pViewport->Projection2d.m[12] = -(coordright + coordleft) / (coordright - coordleft);
pViewport->Projection2d.m[13] = -(coordtop + coordbottom) / (coordtop - coordbottom);
pViewport->Projection2d.m[14] = -(m_clipFar + m_clipNear) / (m_clipFar - m_clipNear);
pViewport->Projection2d.m[15] = 1.0f;
return true;
}
int Renderer::GetActiveViewPort()
{
return m_activeViewport;
}
// Render modes
void Renderer::SetRenderMode(RenderMode mode)
{
switch (mode)
{
case RM_WIREFRAME:
glDisable(GL_TEXTURE_2D);
glDisable(GL_LIGHTING);
glPolygonMode(GL_FRONT, GL_LINE);
glPolygonMode(GL_BACK, GL_LINE);
break;
case RM_SOLID:
glDisable(GL_TEXTURE_2D);
glDisable(GL_LIGHTING);
glPolygonMode(GL_FRONT, GL_FILL);
glPolygonMode(GL_BACK, GL_FILL);
break;
case RM_SHADED:
glDisable(GL_TEXTURE_2D);
glEnable(GL_LIGHTING);
glPolygonMode(GL_FRONT, GL_FILL);
glPolygonMode(GL_BACK, GL_FILL);
break;
case RM_TEXTURED:
glEnable(GL_TEXTURE_2D);
glDisable(GL_LIGHTING);
glPolygonMode(GL_FRONT, GL_FILL);
glPolygonMode(GL_BACK, GL_FILL);
break;
case RM_TEXTURED_LIGHTING:
glEnable(GL_TEXTURE_2D);
glEnable(GL_LIGHTING);
glPolygonMode(GL_FRONT, GL_FILL);
glPolygonMode(GL_BACK, GL_FILL);
break;
};
}
void Renderer::SetPrimativeMode(PrimativeMode mode)
{
switch (mode)
{
case PM_POINTS:
m_primativeMode = GL_POINTS;
break;
case PM_LINES:
m_primativeMode = GL_LINES;
break;
case PM_LINELIST:
m_primativeMode = GL_LINE_STRIP;
break;
case PM_TRIANGLES:
m_primativeMode = GL_TRIANGLES;
break;
case PM_TRIANGLESTRIPS:
m_primativeMode = GL_TRIANGLE_STRIP;
break;
case PM_TRIANGLEFANS:
m_primativeMode = GL_TRIANGLE_FAN;
break;
case PM_QUADS:
m_primativeMode = GL_QUADS;
break;
}
}
void Renderer::SetCullMode(CullMode mode)
{
m_cullMode = mode;
switch (mode)
{
case CM_NOCULL:
glDisable(GL_CULL_FACE);
break;
case CM_FRONT:
glEnable(GL_CULL_FACE);
glCullFace(GL_FRONT);
break;
case CM_BACK:
glEnable(GL_CULL_FACE);
glCullFace(GL_BACK);
break;
}
}
CullMode Renderer::GetCullMode()
{
return m_cullMode;
}
void Renderer::SetLineWidth(float width)
{
glLineWidth(width);
}
void Renderer::SetPointSize(float width)
{
glPointSize(width);
}
// Projection
bool Renderer::SetProjectionMode(ProjectionMode mode, int viewPort)
{
Viewport* pVeiwport = m_viewports[viewPort];
glViewport(pVeiwport->Left, pVeiwport->Bottom, pVeiwport->Width, pVeiwport->Height);
m_activeViewport = viewPort;
if (mode == PM_PERSPECTIVE) {
m_projection = &(pVeiwport->Perspective);
}
else if (mode == PM_ORTHOGRAPHIC) {
m_projection = &(pVeiwport->Orthographic);
}
else if (mode == PM_2D) {
m_projection = &(pVeiwport->Projection2d);
}
else {
return false;
}
SetViewProjection();
return true;
}
void Renderer::SetViewProjection()
{
glMatrixMode(GL_PROJECTION);
MultViewProjection();
glMatrixMode(GL_MODELVIEW);
}
void Renderer::MultViewProjection()
{
SetWorldMatrix(m_view * (*m_projection));
}
// Scene
bool Renderer::ClearScene(bool pixel, bool depth, bool stencil)
{
GLbitfield clear(0);
if (pixel)
clear |= GL_COLOR_BUFFER_BIT;
if (depth && m_depth)
clear |= GL_DEPTH_BUFFER_BIT;
if (stencil && m_stencil)
clear |= GL_STENCIL_BUFFER_BIT;
glClear(clear);
return true;
}
bool Renderer::BeginScene(bool pixel, bool depth, bool stencil)
{
ClearScene(pixel, depth, stencil);
// Reset the projection and modelview matrices to be identity
glMatrixMode(GL_PROJECTION);
glLoadIdentity();
glMatrixMode(GL_MODELVIEW);
glLoadIdentity();
IdentityWorldMatrix();
// Start off with lighting and texturing disabled. If these are required, they need to be set explicitly
glDisable(GL_LIGHTING);
glDisable(GL_TEXTURE_2D);
return true;
}
void Renderer::EndScene()
{
// Swap buffers
}
// Push / Pop matrix stack
void Renderer::PushMatrix()
{
glPushMatrix();
m_modelStack.push_back(m_model);
}
void Renderer::PopMatrix()
{
glPopMatrix();
m_model = m_modelStack.back();
m_modelStack.pop_back();
}
// Matrix manipulations
void Renderer::SetWorldMatrix(const Matrix4x4& mat)
{
float m[16];
mat.GetMatrix(m);
glLoadMatrixf(m);
}
void Renderer::GetModelViewMatrix(Matrix4x4 *pMat)
{
float mat[16];
glGetFloatv(GL_MODELVIEW_MATRIX, mat);
memcpy(pMat->m, mat, 16 * sizeof(float));
}
void Renderer::GetModelMatrix(Matrix4x4 *pMat)
{
memcpy(pMat->m, m_model.m, 16 * sizeof(float));
}
void Renderer::GetViewMatrix(Matrix4x4 *pMat)
{
memcpy(pMat->m, m_view.m, 16 * sizeof(float));
}
void Renderer::GetProjectionMatrix(Matrix4x4 *pMat)
{
float mat[16];
glGetFloatv(GL_PROJECTION_MATRIX, mat);
memcpy(pMat->m, mat, 16 * sizeof(float));
//memcpy(pMat->m, m_projection->m, 16 * sizeof(float));
}
void Renderer::IdentityWorldMatrix()
{
glLoadIdentity();
m_model.LoadIdentity();
}
void Renderer::MultiplyWorldMatrix(const Matrix4x4 &mat)
{
float m[16];
mat.GetMatrix(m);
glMultMatrixf(m);
Matrix4x4 world(mat);
m_model = world * m_model;
}
void Renderer::TranslateWorldMatrix(float x, float y, float z)
{
glTranslatef(x, y, z);
Matrix4x4 translate;
translate.SetTranslation(Vector3d(x, y, z));
m_model = translate * m_model;
}
void Renderer::RotateWorldMatrix(float x, float y, float z)
{
// Posible gimbal lock?
glRotatef(z, 0.0f, 0.0f, 1.0f);
glRotatef(y, 0.0f, 1.0f, 0.0f);
glRotatef(x, 1.0f, 0.0f, 0.0f);
Matrix4x4 rotX;
Matrix4x4 rotY;
Matrix4x4 rotZ;
rotX.SetXRotation(DegToRad(x));
rotY.SetYRotation(DegToRad(y));
rotZ.SetZRotation(DegToRad(z));
m_model = rotZ * rotY * rotX * m_model;
}
void Renderer::ScaleWorldMatrix(float x, float y, float z)
{
glScalef(x, y, z);
Matrix4x4 scale;
scale.SetScale(Vector3d(x, y, z));
m_model = scale * m_model;
}
// Texture matrix manipulations
void Renderer::SetTextureMatrix()
{
static double modelView[16];
static double projection[16];
// This is matrix transform every coordinate x,y,z
// x = x* 0.5 + 0.5
// y = y* 0.5 + 0.5
// z = z* 0.5 + 0.5
// Moving from unit cube [-1,1] to [0,1]
const GLdouble bias[16] = {
0.5, 0.0, 0.0, 0.0,
0.0, 0.5, 0.0, 0.0,
0.0, 0.0, 0.5, 0.0,
0.5, 0.5, 0.5, 1.0 };
// Grab modelview and transformation matrices
glGetDoublev(GL_MODELVIEW_MATRIX, modelView);
glGetDoublev(GL_PROJECTION_MATRIX, projection);
glMatrixMode(GL_TEXTURE);
glActiveTextureARB(GL_TEXTURE7);
glLoadIdentity();
glLoadMatrixd(bias);
// concatating all matrice into one.
glMultMatrixd(projection);
glMultMatrixd(modelView);
// Go back to normal matrix mode
glMatrixMode(GL_MODELVIEW);
}
void Renderer::PushTextureMatrix()
{
glMatrixMode(GL_TEXTURE);
glActiveTextureARB(GL_TEXTURE7);
glPushMatrix();
}
void Renderer::PopTextureMatrix()
{
glPopMatrix();
glMatrixMode(GL_MODELVIEW);
}
// Camera functionality
void Renderer::SetLookAtCamera(Vector3d pos, Vector3d target, Vector3d up)
{
gluLookAt(pos.x, pos.y, pos.z, target.x, target.y, target.z, up.x, up.y, up.z);
}
// Transparency
void Renderer::EnableTransparency(BlendFunction source, BlendFunction destination)
{
glDisable(GL_DEPTH_WRITEMASK);
glEnable(GL_BLEND);
glBlendFunc(GetBlendEnum(source), GetBlendEnum(destination));
}
void Renderer::DisableTransparency()
{
glDisable(GL_BLEND);
glEnable(GL_DEPTH_WRITEMASK);
}
GLenum Renderer::GetBlendEnum(BlendFunction flag)
{
GLenum glFlag;
switch (flag)
{
case BF_ONE:
glFlag = GL_ONE;
break;
case BF_ZERO:
glFlag = GL_ZERO;
break;
case BF_SRC_ALPHA:
glFlag = GL_SRC_ALPHA;
break;
case BF_ONE_MINUS_SRC_ALPHA:
glFlag = GL_ONE_MINUS_SRC_ALPHA;
break;
}
return glFlag;
}
// Depth testing
void Renderer::EnableDepthTest(DepthTest lTestFunction)
{
glEnable(GL_DEPTH_TEST);
glDepthFunc(GetDepthTest(lTestFunction));
}
void Renderer::DisableDepthTest()
{
glDisable(GL_DEPTH_TEST);
}
GLenum Renderer::GetDepthTest(DepthTest lTest)
{
GLenum glFlag;
switch (lTest)
{
case DT_NEVER:
glFlag = GL_NEVER;
break;
case DT_ALWAYS:
glFlag = GL_ALWAYS;
break;
case DT_LESS:
glFlag = GL_LESS;
break;
case DT_LEQUAL:
glFlag = GL_LEQUAL;
break;
case DT_EQUAL:
glFlag = GL_EQUAL;
break;
case DT_GEQUAL:
glFlag = GL_GEQUAL;
break;
case DT_GREATER:
glFlag = GL_GREATER;
break;
case DT_NOTEQUAL:
glFlag = GL_NOTEQUAL;
break;
}
return glFlag;
}
void Renderer::EnableDepthWrite()
{
glDepthMask(GL_TRUE);
}
void Renderer::DisableDepthWrite()
{
glDepthMask(GL_FALSE);
}
// Immediate mode
void Renderer::EnableImmediateMode(ImmediateModePrimitive mode)
{
GLenum glMode;
switch (mode)
{
case IM_POINTS:
glMode = GL_POINTS;
break;
case IM_LINES:
glMode = GL_LINES;
break;
case IM_LINE_LOOP:
glMode = GL_LINE_LOOP;
break;
case IM_LINE_STRIP:
glMode = GL_LINE_STRIP;
break;
case IM_TRIANGLES:
glMode = GL_TRIANGLES;
break;
case IM_TRIANGLE_STRIP:
glMode = GL_TRIANGLE_STRIP;
break;
case IM_TRIANGLE_FAN:
glMode = GL_TRIANGLE_FAN;
break;
case IM_QUADS:
glMode = GL_QUADS;
break;
case IM_QUAD_STRIP:
glMode = GL_QUAD_STRIP;
break;
case IM_POLYGON:
glMode = GL_POLYGON;
break;
}
glBegin(glMode);
}
void Renderer::ImmediateVertex(float x, float y, float z)
{
glVertex3f(x, y, z);
}
void Renderer::ImmediateVertex(int x, int y, int z)
{
glVertex3i(x, y, z);
}
void Renderer::ImmediateNormal(float x, float y, float z)
{
glNormal3f(x, y, z);
}
void Renderer::ImmediateNormal(int x, int y, int z)
{
glNormal3i(x, y, z);
}
void Renderer::ImmediateTextureCoordinate(float s, float t)
{
glTexCoord2f(s, t);
}
void Renderer::ImmediateColourAlpha(float r, float g, float b, float a)
{
glColor4f(r, g, b, a);
}
void Renderer::DisableImmediateMode()
{
glEnd();
}
// Text rendering
bool Renderer::CreateFreeTypeFont(char *fontName, int fontSize, unsigned int *pID)
{
FreeTypeFont* font = new FreeTypeFont();
// Build the new freetype font
font->BuildFont(fontName, fontSize);
// Push this font onto the list of fonts and return the id
m_freetypeFonts.push_back(font);
*pID = (unsigned int)m_freetypeFonts.size() - 1;
return true;
}
bool Renderer::RenderFreeTypeText(unsigned int fontID, float x, float y, float z, Colour colour, float scale, char *inText, ...)
{
char outText[8192];
va_list ap; // Pointer to list of arguments
if (inText == NULL)
return false; // Return fail if there is no text
// Loop through variable argument list and add them to the string
va_start(ap, inText);
vsprintf_s(outText, inText, ap);
va_end(ap);
glColor4fv(colour.GetRGBA());
// Add on the descent value, so we don't draw letters with underhang out of bounds. (e.g - g, y, q and p)
y -= GetFreeTypeTextDescent(fontID);
// HACK : The descent has rounding errors and is usually off by about 1 pixel
y -= 1;
glPushMatrix();
glTranslatef(x, y, 0);
m_freetypeFonts[fontID]->DrawString(outText, scale);
glPopMatrix();
glColor4f(1.0f, 1.0f, 1.0f, 1.0f);
return true;
}
int Renderer::GetFreeTypeTextWidth(unsigned int fontID, char *inText, ...)
{
char outText[8192];
va_list ap;
if (inText == NULL)
return 0;
// Loop through variable argument list and add them to the string
va_start(ap, inText);
vsprintf_s(outText, inText, ap);
va_end(ap);
return m_freetypeFonts[fontID]->GetTextWidth(outText);
}
int Renderer::GetFreeTypeTextHeight(unsigned int fontID, char *inText, ...)
{
return m_freetypeFonts[fontID]->GetCharHeight('a');
}
int Renderer::GetFreeTypeTextAscent(unsigned int fontID)
{
return m_freetypeFonts[fontID]->GetAscent();
}
int Renderer::GetFreeTypeTextDescent(unsigned int fontID)
{
return m_freetypeFonts[fontID]->GetDescent();
}
// Lighting
bool Renderer::CreateLight(const Colour &ambient, const Colour &diffuse, const Colour &specular, Vector3d &position, Vector3d &direction, float exponent, float cutoff, float cAtten, float lAtten, float qAtten, bool point, bool spot, unsigned int *pID)
{
Light *pLight = new Light();
pLight->Ambient(ambient);
pLight->Diffuse(diffuse);
pLight->Specular(specular);
pLight->Position(position);
pLight->Direction(direction);
pLight->Exponent(exponent);
pLight->Cutoff(cutoff);
pLight->ConstantAttenuation(cAtten);
pLight->LinearAttenuation(lAtten);
pLight->QuadraticAttenuation(qAtten);
pLight->Point(point);
pLight->Spotlight(spot);
// Push the light onto the list
m_lights.push_back(pLight);
// Return the light id
*pID = (int)m_lights.size() - 1;
return true;
}
bool Renderer::EditLight(unsigned int id, const Colour &ambient, const Colour &diffuse, const Colour &specular, Vector3d &position, Vector3d &direction, float exponent, float cutoff, float cAtten, float lAtten, float qAtten, bool point, bool spot)
{
Light *pLight = m_lights[id];
pLight->Ambient(ambient);
pLight->Diffuse(diffuse);
pLight->Specular(specular);
pLight->Position(position);
pLight->Direction(direction);
pLight->Exponent(exponent);
pLight->Cutoff(cutoff);
pLight->ConstantAttenuation(cAtten);
pLight->LinearAttenuation(lAtten);
pLight->QuadraticAttenuation(qAtten);
pLight->Point(point);
pLight->Spotlight(spot);
return true;
}
bool Renderer::EditLightPosition(unsigned int id, Vector3d &position)
{
Light *pLight = m_lights[id];
pLight->Position(position);
return true;
}
void Renderer::DeleteLight(unsigned int id)
{
if (m_lights[id]) {
delete m_lights[id];
m_lights[id] = 0;
}
}
void Renderer::EnableLight(unsigned int id, unsigned int lightNumber)
{
if (m_lights[id])
{
m_lights[id]->Apply(lightNumber);
}
}
void Renderer::DisableLight(unsigned int lightNumber)
{
glDisable(GL_LIGHT0 + lightNumber);
}
void Renderer::RenderLight(unsigned int id)
{
m_lights[id]->Render();
}
Colour Renderer::GetLightAmbient(unsigned int id)
{
return m_lights[id]->Ambient();
}
Colour Renderer::GetLightDiffuse(unsigned int id)
{
return m_lights[id]->Diffuse();
}
Colour Renderer::GetLightSpecular(unsigned int id)
{
return m_lights[id]->Specular();
}
Vector3d Renderer::GetLightPosition(unsigned int id)
{
return m_lights[id]->Position();
}
float Renderer::GetConstantAttenuation(unsigned int id)
{
return m_lights[id]->ConstantAttenuation();
}
float Renderer::GetLinearAttenuation(unsigned int id)
{
return m_lights[id]->LinearAttenuation();
}
float Renderer::GetQuadraticAttenuation(unsigned int id)
{
return m_lights[id]->QuadraticAttenuation();
}
// Materials
bool Renderer::CreateMaterial(const Colour &ambient, const Colour &diffuse, const Colour &specular, const Colour &emmisive, float specularPower, unsigned int *pID)
{
Material *pMaterial = new Material();
pMaterial->Ambient(ambient);
pMaterial->Diffuse(diffuse);
pMaterial->Specular(specular);
pMaterial->Emission(emmisive);
pMaterial->Shininess(specularPower);
// Push the material onto the list
m_materials.push_back(pMaterial);
// Return the material id
*pID = (int)m_materials.size() - 1;
return true;
}
bool Renderer::EditMaterial(unsigned int id, const Colour &ambient, const Colour &diffuse, const Colour &specular, const Colour &emmisive, float specularPower)
{
Material *pMaterial = m_materials[id];
pMaterial->Ambient(ambient);
pMaterial->Diffuse(diffuse);
pMaterial->Specular(specular);
pMaterial->Emission(emmisive);
pMaterial->Shininess(specularPower);
return true;
}
void Renderer::EnableMaterial(unsigned int id)
{
m_materials[id]->Apply();
}
void Renderer::DeleteMaterial(unsigned int id)
{
if (m_materials[id])
{
delete m_materials[id];
m_materials[id] = 0;
}
}
// Textures
bool Renderer::LoadTexture(string fileName, int *width, int *height, int *width_power2, int *height_power2, unsigned int *pID)
{
// Check that this texture hasn't already been loaded
for (unsigned int i = 0; i < m_textures.size(); i++)
{
if (m_textures[i]->GetFileName() == fileName)
{
*width = m_textures[i]->GetWidth();
*height = m_textures[i]->GetHeight();
*width_power2 = m_textures[i]->GetWidthPower2();
*height_power2 = m_textures[i]->GetHeightPower2();
*pID = i;
return true;
}
}
// Texture hasn't already been loaded, create and load it!
Texture *pTexture = new Texture();
pTexture->Load(fileName, width, height, width_power2, height_power2, false);
// Push the vertex array onto the list
m_textures.push_back(pTexture);
// Return the vertex array id
*pID = (int)m_textures.size() - 1;
return true;
}
bool Renderer::RefreshTexture(unsigned int id)
{
Texture *pTexture = m_textures[id];
int width;
int height;
int width_power2;
int height_power2;
pTexture->Load(pTexture->GetFileName(), &width, &height, &width_power2, &height_power2, true);
return true;
}
bool Renderer::RefreshTexture(string filename)
{
for (unsigned int i = 0; i < m_textures.size(); i++)
{
if (m_textures[i]->GetFileName() == filename)
{
return RefreshTexture(i);
}
}
return false;
}
void Renderer::BindTexture(unsigned int id)
{
glEnable(GL_TEXTURE_2D);
m_textures[id]->Bind();
}
void Renderer::DisableTexture()
{
glDisable(GL_TEXTURE_2D);
}
Texture* Renderer::GetTexture(unsigned int id)
{
return m_textures[id];
}
void Renderer::BindRawTextureId(unsigned int textureId)
{
glEnable(GL_TEXTURE_2D);
glBindTexture(GL_TEXTURE_2D, textureId);
}
void Renderer::GenerateEmptyTexture(unsigned int *pID)
{
Texture *pTexture = new Texture();
pTexture->GenerateEmptyTexture();
// Push the vertex array onto the list
m_textures.push_back(pTexture);
// Return the vertex array id
*pID = (int)m_textures.size() - 1;
}
void Renderer::SetTextureData(unsigned int id, int width, int height, unsigned char *texdata)
{
glEnable(GL_TEXTURE_2D);
glBindTexture(GL_TEXTURE_2D, m_textures[id]->GetId());
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, texdata);
glDisable(GL_TEXTURE_2D);
}
// Vertex buffers
bool Renderer::CreateStaticBuffer(VertexType type, unsigned int materialID, unsigned int textureID, int nVerts, int nTextureCoordinates, int nIndices, const void *pVerts, const void *pTextureCoordinates, const unsigned int *pIndices, unsigned int *pID)
{
VertexArray *pVertexArray = new VertexArray();
pVertexArray->nIndices = nIndices;
pVertexArray->nVerts = nVerts;
pVertexArray->nTextureCoordinates = nTextureCoordinates;
pVertexArray->materialID = materialID;
pVertexArray->textureID = textureID;
pVertexArray->type = type;
// Get the correct vertex size and construct the vertex array to hold the vertices
if (nVerts)
{
switch (type)
{
case VT_POSITION:
pVertexArray->vertexSize = sizeof(OGLPositionVertex);
pVertexArray->pVA = new float[nVerts * 3];
break;
case VT_POSITION_DIFFUSE:
pVertexArray->vertexSize = sizeof(OGLPositionDiffuseVertex);
pVertexArray->pVA = new float[nVerts * 6];
break;
case VT_POSITION_DIFFUSE_ALPHA:
pVertexArray->vertexSize = sizeof(OGLPositionDiffuseAlphaVertex);
pVertexArray->pVA = new float[nVerts * 7];
break;
case VT_POSITION_NORMAL:
pVertexArray->vertexSize = sizeof(OGLPositionNormalVertex);
pVertexArray->pVA = new float[nVerts * 6];
break;
case VT_POSITION_NORMAL_COLOUR:
pVertexArray->vertexSize = sizeof(OGLPositionNormalColourVertex);
pVertexArray->pVA = new float[nVerts * 10];
break;
case VT_POSITION_NORMAL_UV:
pVertexArray->vertexSize = sizeof(OGLPositionNormalVertex);
pVertexArray->pVA = new float[nVerts * 6];
pVertexArray->textureCoordinateSize = sizeof(OGLUVCoordinate);
pVertexArray->pTextureCoordinates = new float[nTextureCoordinates * 2];
break;
case VT_POSITION_NORMAL_UV_COLOUR:
pVertexArray->vertexSize = sizeof(OGLPositionNormalColourVertex);
pVertexArray->pVA = new float[nVerts * 10];
pVertexArray->textureCoordinateSize = sizeof(OGLUVCoordinate);
pVertexArray->pTextureCoordinates = new float[nTextureCoordinates * 2];
break;
}
}
// If we have indices, create the indices array to hold the information
if (nIndices)
{
pVertexArray->pIndices = new unsigned int[nIndices];
}
// Copy the vertices into the vertex array
memcpy(pVertexArray->pVA, pVerts, pVertexArray->vertexSize*nVerts);
// Copt the texture coordinates into the texture array
memcpy(pVertexArray->pTextureCoordinates, pTextureCoordinates, pVertexArray->textureCoordinateSize*nTextureCoordinates);
// Copy the indices into the vertex array
memcpy(pVertexArray->pIndices, pIndices, sizeof(unsigned int)*nIndices);
// Push the vertex array onto the list
m_vertexArrays.push_back(pVertexArray);
// Return the vertex array id
*pID = (int)m_vertexArrays.size() - 1;
return true;
}
bool Renderer::RecreateStaticBuffer(unsigned int ID, VertexType type, unsigned int materialID, unsigned int textureID, int nVerts, int nTextureCoordinates, int nIndices, const void *pVerts, const void *pTextureCoordinates, const unsigned int *pIndices)
{
// Create a new vertex array
m_vertexArrays[ID] = new VertexArray();
// Get this already existing array pointer from the list
VertexArray *pVertexArray = m_vertexArrays[ID];
pVertexArray->nIndices = nIndices;
pVertexArray->nVerts = nVerts;
pVertexArray->nTextureCoordinates = nTextureCoordinates;
pVertexArray->materialID = materialID;
pVertexArray->textureID = textureID;
pVertexArray->type = type;
// Get the correct vertex size and construct the vertex array to hold the vertices
if (nVerts)
{
switch (type)
{
case VT_POSITION:
pVertexArray->vertexSize = sizeof(OGLPositionVertex);
pVertexArray->pVA = new float[nVerts * 3];
break;
case VT_POSITION_DIFFUSE:
pVertexArray->vertexSize = sizeof(OGLPositionDiffuseVertex);
pVertexArray->pVA = new float[nVerts * 6];
break;
case VT_POSITION_DIFFUSE_ALPHA:
pVertexArray->vertexSize = sizeof(OGLPositionDiffuseAlphaVertex);
pVertexArray->pVA = new float[nVerts * 7];
break;
case VT_POSITION_NORMAL:
pVertexArray->vertexSize = sizeof(OGLPositionNormalVertex);
pVertexArray->pVA = new float[nVerts * 6];
break;
case VT_POSITION_NORMAL_COLOUR:
pVertexArray->vertexSize = sizeof(OGLPositionNormalColourVertex);
pVertexArray->pVA = new float[nVerts * 10];
break;
case VT_POSITION_NORMAL_UV:
pVertexArray->vertexSize = sizeof(OGLPositionNormalVertex);
pVertexArray->pVA = new float[nVerts * 6];
pVertexArray->textureCoordinateSize = sizeof(OGLUVCoordinate);
pVertexArray->pTextureCoordinates = new float[nTextureCoordinates * 2];
break;
case VT_POSITION_NORMAL_UV_COLOUR:
pVertexArray->vertexSize = sizeof(OGLPositionNormalColourVertex);
pVertexArray->pVA = new float[nVerts * 10];
pVertexArray->textureCoordinateSize = sizeof(OGLUVCoordinate);
pVertexArray->pTextureCoordinates = new float[nTextureCoordinates * 2];
break;
}
}
// If we have indices, create the indices array to hold the information
if (nIndices)
{
pVertexArray->pIndices = new unsigned int[nIndices];
}
// Copy the vertices into the vertex array
memcpy(pVertexArray->pVA, pVerts, pVertexArray->vertexSize*nVerts);
// Copt the texture coordinates into the texture array
memcpy(pVertexArray->pTextureCoordinates, pTextureCoordinates, pVertexArray->textureCoordinateSize*nTextureCoordinates);
// Copy the indices into the vertex array
memcpy(pVertexArray->pIndices, pIndices, sizeof(unsigned int)*nIndices);
return true;
}
void Renderer::DeleteStaticBuffer(unsigned int id)
{
if (m_vertexArrays[id])
{
delete m_vertexArrays[id];
m_vertexArrays[id] = 0;
}
}
bool Renderer::RenderStaticBuffer(unsigned int id)
{
if (id >= m_vertexArrays.size())
{
return false; // We have supplied an invalid id
}
// Find the vertex array from the list
VertexArray *pVertexArray = m_vertexArrays[id];
if (pVertexArray != NULL)
{
if ((pVertexArray->type != VT_POSITION_DIFFUSE_ALPHA) && (pVertexArray->type != VT_POSITION_DIFFUSE))
{
if (pVertexArray->materialID != -1)
{
m_materials[pVertexArray->materialID]->Apply();
}
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR)
{
if (pVertexArray->textureID != -1)
{
BindTexture(pVertexArray->textureID);
}
}
// Calculate the stride
GLsizei totalStride = GetStride(pVertexArray->type);
glEnableClientState(GL_VERTEX_ARRAY);
glVertexPointer(3, GL_FLOAT, totalStride, pVertexArray->pVA);
if (pVertexArray->type == VT_POSITION_NORMAL || pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR || pVertexArray->type == VT_POSITION_NORMAL_COLOUR)
{
glEnableClientState(GL_NORMAL_ARRAY);
glNormalPointer(GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR)
{
glEnableClientState(GL_TEXTURE_COORD_ARRAY);
glTexCoordPointer(2, GL_FLOAT, 0, pVertexArray->pTextureCoordinates);
}
if (pVertexArray->type == VT_POSITION_DIFFUSE_ALPHA)
{
glEnableClientState(GL_COLOR_ARRAY);
glColorPointer(4, GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_DIFFUSE)
{
glEnableClientState(GL_COLOR_ARRAY);
glColorPointer(3, GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR || pVertexArray->type == VT_POSITION_NORMAL_COLOUR)
{
glEnableClientState(GL_COLOR_ARRAY);
glColorPointer(4, GL_FLOAT, totalStride, &pVertexArray->pVA[6]);
}
if (pVertexArray->nIndices != 0)
{
glDrawElements(m_primativeMode, pVertexArray->nIndices, GL_UNSIGNED_INT, pVertexArray->pIndices);
}
else
{
glDrawArrays(m_primativeMode, 0, pVertexArray->nVerts);
}
glDisableClientState(GL_VERTEX_ARRAY);
glDisableClientState(GL_NORMAL_ARRAY);
glDisableClientState(GL_TEXTURE_COORD_ARRAY);
glDisableClientState(GL_COLOR_ARRAY);
return true;
}
return false;
}
bool Renderer::RenderStaticBuffer_NoColour(unsigned int id)
{
if (id >= m_vertexArrays.size())
{
return false; // We have supplied an invalid id
}
// Find the vertex array from the list
VertexArray *pVertexArray = m_vertexArrays[id];
if (pVertexArray != NULL)
{
if ((pVertexArray->type != VT_POSITION_DIFFUSE_ALPHA) && (pVertexArray->type != VT_POSITION_DIFFUSE))
{
if (pVertexArray->materialID != -1)
{
m_materials[pVertexArray->materialID]->Apply();
}
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR)
{
if (pVertexArray->textureID != -1)
{
BindTexture(pVertexArray->textureID);
}
}
// Calculate the stride
GLsizei totalStride = GetStride(pVertexArray->type);
glEnableClientState(GL_VERTEX_ARRAY);
glVertexPointer(3, GL_FLOAT, totalStride, pVertexArray->pVA);
if (pVertexArray->type == VT_POSITION_NORMAL || pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR || pVertexArray->type == VT_POSITION_NORMAL_COLOUR)
{
glEnableClientState(GL_NORMAL_ARRAY);
glNormalPointer(GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR)
{
glEnableClientState(GL_TEXTURE_COORD_ARRAY);
glTexCoordPointer(2, GL_FLOAT, 0, pVertexArray->pTextureCoordinates);
}
if (pVertexArray->type == VT_POSITION_DIFFUSE_ALPHA)
{
//glEnableClientState(GL_COLOR_ARRAY);
//glColorPointer(4, GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_DIFFUSE)
{
//glEnableClientState(GL_COLOR_ARRAY);
//glColorPointer(3, GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR || pVertexArray->type == VT_POSITION_NORMAL_COLOUR)
{
//glEnableClientState(GL_COLOR_ARRAY);
//glColorPointer(4, GL_FLOAT, totalStride, &pVertexArray->pVA[6]);
}
if (pVertexArray->nIndices != 0)
{
glDrawElements(m_primativeMode, pVertexArray->nIndices, GL_UNSIGNED_INT, pVertexArray->pIndices);
}
else
{
glDrawArrays(m_primativeMode, 0, pVertexArray->nVerts);
}
glDisableClientState(GL_VERTEX_ARRAY);
glDisableClientState(GL_NORMAL_ARRAY);
glDisableClientState(GL_TEXTURE_COORD_ARRAY);
//glDisableClientState(GL_COLOR_ARRAY);
return true;
}
return false;
}
bool Renderer::RenderFromArray(VertexType type, unsigned int materialID, unsigned int textureID, int nVerts, int nTextureCoordinates, int nIndices, const void *pVerts, const void *pTextureCoordinates, const unsigned int *pIndices)
{
if ((type != VT_POSITION_DIFFUSE_ALPHA) && (type != VT_POSITION_DIFFUSE))
{
if (materialID != -1)
{
m_materials[materialID]->Apply();
}
}
if (type == VT_POSITION_NORMAL_UV || type == VT_POSITION_NORMAL_UV_COLOUR)
{
if (textureID != -1)
{
BindTexture(textureID);
}
}
// Calculate the stride
GLsizei totalStride = GetStride(type);
float* pVertsf = (float*)pVerts;
float* pTexturesf = (float*)pTextureCoordinates;
glEnableClientState(GL_VERTEX_ARRAY);
glVertexPointer(3, GL_FLOAT, totalStride, pVerts);
if (type == VT_POSITION_NORMAL || type == VT_POSITION_NORMAL_UV || type == VT_POSITION_NORMAL_UV_COLOUR || type == VT_POSITION_NORMAL_COLOUR)
{
glEnableClientState(GL_NORMAL_ARRAY);
glNormalPointer(GL_FLOAT, totalStride, &pVertsf[3]);
}
if (type == VT_POSITION_NORMAL_UV || type == VT_POSITION_NORMAL_UV_COLOUR)
{
glEnableClientState(GL_TEXTURE_COORD_ARRAY);
glTexCoordPointer(2, GL_FLOAT, 0, &pTexturesf);
}
if (type == VT_POSITION_DIFFUSE_ALPHA)
{
glEnableClientState(GL_COLOR_ARRAY);
glColorPointer(4, GL_FLOAT, totalStride, &pVertsf[3]);
}
if (type == VT_POSITION_DIFFUSE)
{
glEnableClientState(GL_COLOR_ARRAY);
glColorPointer(3, GL_FLOAT, totalStride, &pVertsf[3]);
}
if (type == VT_POSITION_NORMAL_UV_COLOUR || type == VT_POSITION_NORMAL_COLOUR)
{
glEnableClientState(GL_COLOR_ARRAY);
glColorPointer(4, GL_FLOAT, totalStride, &pVertsf[6]);
}
if (nIndices != 0)
{
glDrawElements(m_primativeMode, nIndices, GL_UNSIGNED_INT, pIndices);
}
else
{
glDrawArrays(m_primativeMode, 0, nVerts);
}
glDisableClientState(GL_VERTEX_ARRAY);
glDisableClientState(GL_NORMAL_ARRAY);
glDisableClientState(GL_TEXTURE_COORD_ARRAY);
glDisableClientState(GL_COLOR_ARRAY);
return true;
}
unsigned int Renderer::GetStride(VertexType type)
{
// Add xyz stride
unsigned int totalStride = sizeof(float) * 3;
// Add normals stride
if (type == VT_POSITION_NORMAL || type == VT_POSITION_NORMAL_UV || type == VT_POSITION_NORMAL_UV_COLOUR || type == VT_POSITION_NORMAL_COLOUR)
totalStride += sizeof(float) * 3;
// Add colour stride
if (type == VT_POSITION_DIFFUSE)
totalStride += sizeof(float) * 3;
// Add colour and alpha stride
if (type == VT_POSITION_DIFFUSE_ALPHA || type == VT_POSITION_NORMAL_UV_COLOUR || type == VT_POSITION_NORMAL_COLOUR)
totalStride += sizeof(float) * 4;
return totalStride;
}
// Mesh
OpenGLTriangleMesh* Renderer::CreateMesh(OGLMeshType meshType)
{
OpenGLTriangleMesh* pNewMesh = new OpenGLTriangleMesh();
pNewMesh->m_meshType = meshType;
// Return the mesh pointer
return pNewMesh;
}
void Renderer::ClearMesh(OpenGLTriangleMesh* pMesh)
{
pMesh->m_textureId = -1;
pMesh->m_materialId = -1;
//pMesh->m_staticMeshId = -1; // DON'T reset this! Else we end up create more and more and more static buffers and data
// Delete the vertices
for (unsigned int i = 0; i < pMesh->m_vertices.size(); i++)
{
delete pMesh->m_vertices[i];
pMesh->m_vertices[i] = 0;
}
// Delete the texture coordinates
for (unsigned int i = 0; i < pMesh->m_textureCoordinates.size(); i++)
{
delete pMesh->m_textureCoordinates[i];
pMesh->m_textureCoordinates[i] = 0;
}
// Delete the triangles
for (unsigned int i = 0; i < pMesh->m_triangles.size(); i++)
{
delete pMesh->m_triangles[i];
pMesh->m_triangles[i] = 0;
}
pMesh->m_vertices.clear();
pMesh->m_textureCoordinates.clear();
pMesh->m_triangles.clear();
if (pMesh->m_staticMeshId != -1)
{
DeleteStaticBuffer(pMesh->m_staticMeshId);
}
pMesh->m_staticMeshId = -1;
delete pMesh;
pMesh = NULL;
}
unsigned int Renderer::AddVertexToMesh(Vector3d p, Vector3d n, float r, float g, float b, float a, OpenGLTriangleMesh* pMesh)
{
OpenGLMesh_Vertex* pNewVertex = new OpenGLMesh_Vertex();
pNewVertex->vertexPosition[0] = p.x;
pNewVertex->vertexPosition[1] = p.y;
pNewVertex->vertexPosition[2] = p.z;
pNewVertex->vertexNormals[0] = n.x;
pNewVertex->vertexNormals[1] = n.y;
pNewVertex->vertexNormals[2] = n.z;
pNewVertex->vertexColour[0] = r;
pNewVertex->vertexColour[1] = g;
pNewVertex->vertexColour[2] = b;
pNewVertex->vertexColour[3] = a;
if (pMesh != NULL)
{
pMesh->m_vertices.push_back(pNewVertex);
unsigned int vertex_id = (int)pMesh->m_vertices.size() - 1;
return vertex_id;
}
else
{
return -1;
}
}
unsigned int Renderer::AddTextureCoordinatesToMesh(float s, float t, OpenGLTriangleMesh* pMesh)
{
OpenGLMesh_TextureCoordinate* pNewTextureCoordinate = new OpenGLMesh_TextureCoordinate();
pNewTextureCoordinate->s = s;
pNewTextureCoordinate->t = t;
if (pMesh != NULL)
{
pMesh->m_textureCoordinates.push_back(pNewTextureCoordinate);
unsigned int textureCoordinate_id = (int)pMesh->m_textureCoordinates.size() - 1;
return textureCoordinate_id;
}
else
{
return -1;
}
}
unsigned int Renderer::AddTriangleToMesh(unsigned int vertexId1, unsigned int vertexId2, unsigned int vertexId3, OpenGLTriangleMesh* pMesh)
{
// Create the triangle
OpenGLMesh_Triangle* pTri = new OpenGLMesh_Triangle();
pTri->vertexIndices[0] = vertexId1;
pTri->vertexIndices[1] = vertexId2;
pTri->vertexIndices[2] = vertexId3;
if (pMesh != NULL)
{
pMesh->m_triangles.push_back(pTri);
unsigned int tri_id = (int)pMesh->m_triangles.size() - 1;
return tri_id;
}
else
{
return -1;
}
}
void Renderer::ModifyMeshAlpha(float alpha, OpenGLTriangleMesh* pMesh)
{
VertexArray* pArray = m_vertexArrays[pMesh->m_staticMeshId];
GLsizei totalStride = GetStride(pArray->type) / 4;
int alphaIndex = totalStride - 1;
for (int i = 0; i < pArray->nVerts; i++)
{
pArray->pVA[alphaIndex] = alpha;
alphaIndex += totalStride;
}
}
void Renderer::ModifyMeshColour(float r, float g, float b, OpenGLTriangleMesh* pMesh)
{
VertexArray* pArray = m_vertexArrays[pMesh->m_staticMeshId];
GLsizei totalStride = GetStride(pArray->type) / 4;
int rIndex = totalStride - 4;
int gIndex = totalStride - 3;
int bIndex = totalStride - 2;
for (int i = 0; i < pArray->nVerts; i++)
{
pArray->pVA[rIndex] = r;
pArray->pVA[gIndex] = g;
pArray->pVA[bIndex] = b;
rIndex += totalStride;
gIndex += totalStride;
bIndex += totalStride;
}
}
void Renderer::FinishMesh(unsigned int textureID, unsigned int materialID, OpenGLTriangleMesh* pMesh)
{
unsigned int numTriangles = (int)pMesh->m_triangles.size();
unsigned int numVertices = (int)pMesh->m_vertices.size();
unsigned int numTextureCoordinates = (int)pMesh->m_textureCoordinates.size();
unsigned int numIndices = (int)pMesh->m_triangles.size() * 3;
pMesh->m_materialId = materialID;
pMesh->m_textureId = textureID;
// Vertices
OGLPositionNormalColourVertex* meshBuffer;
meshBuffer = new OGLPositionNormalColourVertex[numVertices];
for (unsigned int i = 0; i < numVertices; i++)
{
meshBuffer[i].x = pMesh->m_vertices[i]->vertexPosition[0];
meshBuffer[i].y = pMesh->m_vertices[i]->vertexPosition[1];
meshBuffer[i].z = pMesh->m_vertices[i]->vertexPosition[2];
meshBuffer[i].nx = pMesh->m_vertices[i]->vertexNormals[0];
meshBuffer[i].ny = pMesh->m_vertices[i]->vertexNormals[1];
meshBuffer[i].nz = pMesh->m_vertices[i]->vertexNormals[2];
meshBuffer[i].r = pMesh->m_vertices[i]->vertexColour[0];
meshBuffer[i].g = pMesh->m_vertices[i]->vertexColour[1];
meshBuffer[i].b = pMesh->m_vertices[i]->vertexColour[2];
meshBuffer[i].a = pMesh->m_vertices[i]->vertexColour[3];
}
// Texture coordinates
OGLUVCoordinate* textureCoordinatesBuffer;
textureCoordinatesBuffer = new OGLUVCoordinate[numTextureCoordinates];
for (unsigned int i = 0; i < numTextureCoordinates; i++)
{
textureCoordinatesBuffer[i].u = pMesh->m_textureCoordinates[i]->s;
textureCoordinatesBuffer[i].v = pMesh->m_textureCoordinates[i]->t;
}
// Indices
unsigned int* indicesBuffer;
indicesBuffer = new unsigned int[numIndices];
int lIndexCounter = 0;
for (unsigned int i = 0; i < numTriangles; i++)
{
indicesBuffer[lIndexCounter] = pMesh->m_triangles[i]->vertexIndices[0];
indicesBuffer[lIndexCounter + 1] = pMesh->m_triangles[i]->vertexIndices[1];
indicesBuffer[lIndexCounter + 2] = pMesh->m_triangles[i]->vertexIndices[2];
lIndexCounter += 3;
}
if (pMesh->m_meshType == OGLMeshType_Colour)
{
if (pMesh->m_staticMeshId == -1)
{
CreateStaticBuffer(VT_POSITION_NORMAL_COLOUR, pMesh->m_materialId, -1, numVertices, 0, numIndices, meshBuffer, NULL, indicesBuffer, &pMesh->m_staticMeshId);
}
else
{
RecreateStaticBuffer(pMesh->m_staticMeshId, VT_POSITION_NORMAL_COLOUR, pMesh->m_materialId, -1, numVertices, 0, numIndices, meshBuffer, NULL, indicesBuffer);
}
}
else if (pMesh->m_meshType == OGLMeshType_Textured)
{
if (pMesh->m_staticMeshId == -1)
{
CreateStaticBuffer(VT_POSITION_NORMAL_UV_COLOUR, pMesh->m_materialId, pMesh->m_textureId, numVertices, numTextureCoordinates, numIndices, meshBuffer, textureCoordinatesBuffer, indicesBuffer, &pMesh->m_staticMeshId);
}
else
{
RecreateStaticBuffer(pMesh->m_staticMeshId, VT_POSITION_NORMAL_UV_COLOUR, pMesh->m_materialId, pMesh->m_textureId, numVertices, numTextureCoordinates, numIndices, meshBuffer, textureCoordinatesBuffer, indicesBuffer);
}
}
// Delete temp data
delete[] meshBuffer;
delete[] textureCoordinatesBuffer;
delete[] indicesBuffer;
}
void Renderer::RenderMesh(OpenGLTriangleMesh* pMesh)
{
PushMatrix();
//SetCullMode(CM_NOCULL);
SetPrimativeMode(PM_TRIANGLES);
//SetRenderMode(RM_SOLID);
if (pMesh->m_staticMeshId != -1)
{
RenderStaticBuffer(pMesh->m_staticMeshId);
}
PopMatrix();
}
void Renderer::RenderMesh_NoColour(OpenGLTriangleMesh* pMesh)
{
PushMatrix();
//SetCullMode(CM_NOCULL);
SetPrimativeMode(PM_TRIANGLES);
//SetRenderMode(RM_SOLID);
if (pMesh->m_staticMeshId != -1)
{
RenderStaticBuffer_NoColour(pMesh->m_staticMeshId);
}
PopMatrix();
}
void Renderer::GetMeshInformation(int *numVerts, int *numTris, OpenGLTriangleMesh* pMesh)
{
*numVerts = (int)pMesh->m_vertices.size();
*numTris = (int)pMesh->m_triangles.size();
}
void Renderer::StartMeshRender()
{
glEnableClientState(GL_VERTEX_ARRAY);
glEnableClientState(GL_NORMAL_ARRAY);
glEnableClientState(GL_COLOR_ARRAY);
}
void Renderer::EndMeshRender()
{
glDisableClientState(GL_VERTEX_ARRAY);
glDisableClientState(GL_NORMAL_ARRAY);
glDisableClientState(GL_COLOR_ARRAY);
}
bool Renderer::MeshStaticBufferRender(OpenGLTriangleMesh* pMesh)
{
SetPrimativeMode(PM_TRIANGLES);
//SetRenderMode(RM_SOLID);
VertexArray *pVertexArray = m_vertexArrays[pMesh->m_staticMeshId];
if (pVertexArray != NULL)
{
if (pVertexArray->nVerts == 0)
{
return false;
}
if ((pVertexArray->type != VT_POSITION_DIFFUSE_ALPHA) && (pVertexArray->type != VT_POSITION_DIFFUSE))
{
if (pVertexArray->materialID != -1)
{
m_materials[pVertexArray->materialID]->Apply();
}
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR)
{
if (pVertexArray->textureID != -1)
{
BindTexture(pVertexArray->textureID);
}
}
// Calculate the stride
GLsizei totalStride = GetStride(pVertexArray->type);
glVertexPointer(3, GL_FLOAT, totalStride, pVertexArray->pVA);
if (pVertexArray->type == VT_POSITION_NORMAL || pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR || pVertexArray->type == VT_POSITION_NORMAL_COLOUR)
{
glNormalPointer(GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV || pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR)
{
glTexCoordPointer(2, GL_FLOAT, 0, pVertexArray->pTextureCoordinates);
}
if (pVertexArray->type == VT_POSITION_DIFFUSE_ALPHA)
{
glColorPointer(4, GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_DIFFUSE)
{
glColorPointer(3, GL_FLOAT, totalStride, &pVertexArray->pVA[3]);
}
if (pVertexArray->type == VT_POSITION_NORMAL_UV_COLOUR || pVertexArray->type == VT_POSITION_NORMAL_COLOUR)
{
glColorPointer(4, GL_FLOAT, totalStride, &pVertexArray->pVA[6]);
}
if (pVertexArray->nIndices != 0)
{
glDrawElements(m_primativeMode, pVertexArray->nIndices, GL_UNSIGNED_INT, pVertexArray->pIndices);
}
else
{
glDrawArrays(m_primativeMode, 0, pVertexArray->nVerts);
}
return true;
}
return false;
}
// Name rendering and name picking
void Renderer::InitNameStack()
{
glInitNames();
glPushName(-1);
}
void Renderer::LoadNameOntoStack(int lName)
{
glPopName();
glPushName(lName);
//glLoadName(lName);
}
void Renderer::EndNameStack()
{
glPopName();
}
void Renderer::StartNamePicking(unsigned int lViewportid, int lX, int lY)
{
ClearScene(true, true, true);
glSelectBuffer(NAME_PICKING_BUFFER, m_SelectBuffer);
glRenderMode(GL_SELECT);
glMatrixMode(GL_PROJECTION);
glLoadIdentity();
int viewportCoords[4] = { 0, 0, 0, 0 };
glGetIntegerv(GL_VIEWPORT, viewportCoords);
gluPickMatrix(lX, lY, 3, 3, viewportCoords);
glMatrixMode(GL_MODELVIEW);
glLoadIdentity();
MultViewProjection();
}
int Renderer::GetPickedObject()
{
int objectsFound = 0;
objectsFound = glRenderMode(GL_RENDER);
if (objectsFound > 0)
{
unsigned int lowestDepth = m_SelectBuffer[1];
int selectedObject = m_SelectBuffer[3];
// Any time that we find more than one named object, we choose the one with the lowest depth. i.e Closest to the screen
for (int i = 1; i < objectsFound; i++)
{
unsigned int lDepth = m_SelectBuffer[(i * 4) + 1];
int lname = m_SelectBuffer[(i * 4) + 3];
// Also make sure that a name of -1 doesnt ever take priority
if (lDepth < lowestDepth && lname != -1)
{
lowestDepth = m_SelectBuffer[(i * 4) + 1];
selectedObject = m_SelectBuffer[(i * 4) + 3];
}
}
return selectedObject;
}
//No objects found
return -1;
}
// Frustum
Frustum* Renderer::GetFrustum(unsigned int frustumid)
{
Frustum* pFrustum = m_frustums[frustumid];
return pFrustum;
}
int Renderer::PointInFrustum(unsigned int frustumid, const Vector3d &point)
{
Frustum* pFrustum = m_frustums[frustumid];
return pFrustum->PointInFrustum(point);
}
int Renderer::SphereInFrustum(unsigned int frustumid, const Vector3d &point, float radius)
{
Frustum* pFrustum = m_frustums[frustumid];
return pFrustum->SphereInFrustum(point, radius);
}
int Renderer::CubeInFrustum(unsigned int frustumid, const Vector3d ¢er, float x, float y, float z)
{
Frustum* pFrustum = m_frustums[frustumid];
return pFrustum->CubeInFrustum(center, x, y, z);
}
bool InitOpenGLExtensions()
{
if (extensions_init)
return true;
extensions_init = true;
glewExperimental = GL_TRUE;
GLenum err = glewInit();
if (GLEW_OK != err)
{
cout << "Error:" << glewGetErrorString(err) << endl;
extensions_init = false;
return false;
}
cout << "OpenGL Vendor: " << (char*)glGetString(GL_VENDOR) << "\n";
cout << "OpenGL Renderer: " << (char*)glGetString(GL_RENDERER) << "\n";
cout << "OpenGL Version: " << (char*)glGetString(GL_VERSION) << "\n\n";
//cout << "OpenGL Extensions:\n" << (char*) glGetString(GL_EXTENSIONS) << "\n\n";
HasGLSLSupport();
return true;
}
// OpenGL Extensions
bool HasGLSLSupport()
{
bGeometryShader = HasGeometryShaderSupport();
bGPUShader4 = HasShaderModel4();
if (useGLSL)
return true; // already initialized and GLSL is available
useGLSL = true;
if (!extensions_init)
InitOpenGLExtensions(); // extensions were not yet initialized!!
if (GLEW_VERSION_2_0)
{
cout << "OpenGL 2.0 (or higher) is available!" << endl;
}
else if (GLEW_VERSION_1_5)
{
cout << "OpenGL 1.5 core functions are available" << endl;
}
else if (GLEW_VERSION_1_4)
{
cout << "OpenGL 1.4 core functions are available" << endl;
}
else if (GLEW_VERSION_1_3)
{
cout << "OpenGL 1.3 core functions are available" << endl;
}
else if (GLEW_VERSION_1_2)
{
cout << "OpenGL 1.2 core functions are available" << endl;
}
if (GL_TRUE != glewGetExtension("GL_ARB_fragment_shader"))
{
cout << "[WARNING] GL_ARB_fragment_shader extension is not available!\n";
useGLSL = false;
}
if (GL_TRUE != glewGetExtension("GL_ARB_vertex_shader"))
{
cout << "[WARNING] GL_ARB_vertex_shader extension is not available!\n";
useGLSL = false;
}
if (GL_TRUE != glewGetExtension("GL_ARB_shader_objects"))
{
cout << "[WARNING] GL_ARB_shader_objects extension is not available!\n";
useGLSL = false;
}
if (useGLSL)
{
cout << "[OK] OpenGL Shading Language is available!\n\n";
}
else
{
cout << "[FAILED] OpenGL Shading Language is not available...\n\n";
}
return useGLSL;
}
bool HasGeometryShaderSupport()
{
if (GL_TRUE != glewGetExtension("GL_EXT_geometry_shader4"))
return false;
return true;
}
bool HasShaderModel4()
{
if (GL_TRUE != glewGetExtension("GL_EXT_gpu_shader4"))
return false;
return true;
}</s>
|
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3063,
1379,
13549,
6293,
1377,
59320,
59349,
59344,
59344,
59387,
72,
2
] |
<s> Access
Forgotten Password
Editorial: Attend This
Among my college drum majors, one struggled with unilateral hearing loss, though the cause—congenital or acquired—remained unclear. My spouse occasionally endures tinnitus, potentially tracing back to his high school drum major days. At the WGI World Championships, two high school percussionists independently disclosed hearing difficulties.
These occurrences are not anomalous. Studies reveal that over 50% of professional musicians and 26% of high school seniors in music programs grapple with some degree of hearing loss. Do not join these ranks.
The solution is straightforward: employ earplugs consistently, preferably from a young age. My eight-year-old son, now learning drums, is already adapting to this practice.
Delve deeper by reading "Hear Ye! Hear Ye!", which details daily noise exposure limits, decibel levels of various instruments, and strategies adopted by bands and drum corps. If you fear earplugs might impede communication with directors or peers, rest assured; specialized musicians' earplugs are available that preserve sound clarity.
Just as you'd wear a helmet while cycling, protect your hearing during band practice or performances. Preparedness is key.
Yet, even with meticulous planning, challenges may arise in the dynamic world of drum corps, where logistics involve large groups, long distances, and delicate equipment.
Drum corps, despite facing challenges such as vandalized vehicle windows, road mishaps, kitchen conflagrations, and water scarcity, consistently demonstrate resilience, emerging stronger from these trials. The piece 'Drum Corps 9-1-1' illustrates how swift response, collective engagement, and sheer benevolence can triumph over adversity. We trust these narratives will promote safety awareness. We wish you a pleasant remainder of your summer and continued marching progress.
Concerning the author, Christine Ngeo Katzman, her musical journey began at the age of eight on the flute. She was a member of the Northwestern University Marching Band, participating in the 1996 Rose Bowl and 1997 Citrus Bowl. She graduated magna cum laude with a bachelor's degree in journalism from Northwestern in 1997. Post-graduation, Katzman worked in publishing as a writer and editor, and played a pivotal role in launching Play Music, a magazine for recreational musicians, backed by American Music Group (now Music and Arts Center). In 2006, she worked at Yamaha, interacting with staff and students from various marching bands and drum corps. Katzman furthered her education by earning her MBA with honors from the University of Southern California in 2007.</s>
|
[
1,
31028,
1379,
14161,
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59328,
35565,
5,
5,
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1522,
1371,
23400,
4395,
1359,
1432,
1348,
55434,
5,
5,
2645,
3322,
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2954,
2381,
1432,
5,
5,
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5082,
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53579,
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34242,
5,
21963,
9170,
1556,
5082,
59358,
15402,
7884,
2758,
2450,
5,
5,
59391,
30408,
1358,
1493,
1522,
1371,
23400,
4395,
1359,
1432,
1348,
55434,
5,
5,
28656,
59358,
9848,
1859,
1368,
8020,
3145,
1694,
1728,
18792,
2714,
1421,
6369,
1432,
1348,
29917,
10370,
59342,
28143,
1358,
6595,
10861,
1358,
11512,
1377,
1348,
2810,
37244,
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1696,
1882,
1358,
10370,
59361,
59328,
6035,
38520,
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14077,
1358,
45862,
1385,
37039,
59342,
28143,
2517,
34266,
9930,
1348,
21412,
72,
2
] |
<s> Reviews of Children's Literature
Walter the Farting Dog Goes on a Cruise
by children's book list on
Written By: William Kotzwinkle
Illustrated By: Audrey Colman
Walter the Farting Dog Goes on a Cruise
Summary: Because his farts create unpleasantness for everyone on a cruise ship, Walter the dog continues the journey in a lifeboat, but when the ship's computer crashes, causing the liner to drift, Walter again proves himself a hero.</s>
|
[
1,
59320,
1328,
1276,
1280,
2631,
3309,
59375,
5,
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3309,
72,
11401,
72,
12020,
59375,
5,
2631,
3309,
72,
20271,
59375,
5,
2631,
3309,
72,
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5,
2631,
3309,
72,
21835,
72,
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59375,
5,
5,
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] |
<s> using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace TB_QuestGame
{
/// <summary>
/// CIT 195
/// Scott Kuhlman
/// 11/20/16
/// TB Quest Game Sprint 3
/// </summary>
public class Controller
{
#region FIELDS
private bool _usingGame;
//
// declare all objects required for the game
// Note - these field objects do not require properties since they
// are not accessed outside of the controller
//
private ConsoleView _gameConsoleView;
private Ogre _gameOgre;
private Kingdom _gameKingdom;
private Dragon _gameDragon;
#endregion
#region PROPERTIES
#endregion
#region CONSTRUCTORS
public Controller()
{
InitializeGame();
//
// instantiate a Salesperson object
//
_gameOgre = new Ogre();
//
// instantiate a ConsoleView object
//
_gameConsoleView = new ConsoleView(_gameOgre, _gameKingdom);
//
// begins running the application UI
//
ManageGameLoop();
}
#endregion
#region METHODS
/// <summary>
/// initialize the game
/// </summary>
private void InitializeGame()
{
_usingGame = true;
_gameKingdom = new Kingdom();
_gameOgre = new Ogre();
_gameConsoleView = new ConsoleView(_gameOgre, _gameKingdom);
_gameDragon = new Dragon();
}
/// <summary>
/// method to manage the application setup and control loop
/// </summary>
private void ManageGameLoop()
{
OgreAction ogreActionChoice = OgreAction.None;
_gameConsoleView.DisplayWelcomeScreen();
InitializeMission();
//
// game loop
//
while (_usingGame)
{
//not currently using the ogreActionChoice function
UpdateGameStatus(ogreActionChoice);
//
// get a menu choice from the ConsoleView object
//
ogreActionChoice = _gameConsoleView.DisplayGetOgreActionChoice();
//
// choose an action based on the user's menu choice
//
switch (ogreActionChoice)
{
case OgreAction.None:
break;
case OgreAction.LookAround:
_gameConsoleView.DisplayLookAround();
break;
case OgreAction.TalkTo:
_gameConsoleView.DisplayTalkTo();
break;
case OgreAction.LookAt:
_gameConsoleView.DisplayLookAt();
break;
case OgreAction.PickUpItem:
int itemID;
itemID = _gameConsoleView.DisplayPickUpItem();
Item PickedUpItem = new Item();
PickedUpItem = _gameKingdom.GetItemtByID(itemID);
_gameOgre.OgresItems.Add(PickedUpItem);
PickedUpItem.SwampLocationID = 0;
break;
case OgreAction.PickUpTreasure:
int treasureID = _gameConsoleView.DisplayPickUpTreasure();
Treasure PickedUpTreasure = new Treasure();
PickedUpTreasure = _gameKingdom.GetTreasuretByID(treasureID);
_gameOgre.OgresTreasures.Add(PickedUpTreasure);
PickedUpTreasure.SwampLocationID = 0;
break;
case OgreAction.PutDownItem:
int itemToPutDown = _gameConsoleView.DisplayPutDownItem();
Item ItemToDrop = new Item();
ItemToDrop = _gameKingdom.GetItemtByID(itemToPutDown);
_gameOgre.OgresItems.Remove(ItemToDrop);
ItemToDrop.SwampLocationID = _gameOgre.SwampLocationID;
break;
case OgreAction.PutDownTreasure:
int treasureToPutDown = _gameConsoleView.DisplayPutDownTreasure();
Treasure TreasureToDrop = new Treasure();
TreasureToDrop = _gameKingdom.GetTreasuretByID(treasureToPutDown);
_gameOgre.OgresTreasures.Remove(TreasureToDrop);
TreasureToDrop.SwampLocationID = _gameOgre.SwampLocationID;
break;
case OgreAction.Travel:
_gameOgre.SwampLocationID = _gameConsoleView.DisplayGetOgresNewDestination().SwampLocationID;
break;
case OgreAction.OgreInfo:
_gameConsoleView.DisplayOgreInfo();
break;
case OgreAction.OgreInventory:
_gameConsoleView.DisplayOgreItems();
break;
case OgreAction.OgreTreasure:
_gameConsoleView.DisplayOgreTreasure();
break;
case OgreAction.ListSwampDestinations:
_gameConsoleView.DisplayListAllSwampDestinations();
break;
case OgreAction.ListItems:
_gameConsoleView.DisplayListAllGameItems();
break;
case OgreAction.ListTreasures:
_gameConsoleView.DisplayListAllGameTreasures();
break;
case OgreAction.Exit:
_usingGame = false;
break;
default:
break;
}
}
_gameConsoleView.DisplayExitPrompt();
//
// close the application
//
Environment.Exit(1);
}
/// <summary>
/// initialize the traveler's starting mission parameters
/// </summary>
private void InitializeMission()
{
_gameConsoleView.DisplayGameSetupIntro();
_gameOgre.Name = _gameConsoleView.DisplayGetOgresName();
_gameOgre.Race = _gameConsoleView.DisplayGetOgresRace();
_gameOgre.Age = _gameConsoleView.DisplayGetOgresAge();
_gameOgre.SwampLocationID = _gameConsoleView.DisplayGetOgresNewDestination().SwampLocationID;
//
// add initial items to the traveler's inventory
//
AddItemToOgresInventory(3);
AddItemToOgresTreasure(1);
}
/// <summary>
/// add a game item to the traveler's inventory
/// </summary>
/// <param name="itemID">game item ID</param>
private void AddItemToOgresInventory(int itemID)
{
Item item;
item = _gameKingdom.GetItemtByID(itemID);
item.SwampLocationID = 0;
_gameOgre.OgresItems.Add(item);
}
/// <summary>
/// add a game treasure to the traveler's inventory
/// </summary>
/// <param name="itemID">game item ID</param>
private void AddItemToOgresTreasure(int itemID)
{
Treasure item;
item = _gameKingdom.GetTreasuretByID(itemID);
item.SwampLocationID = 0;
_gameOgre.OgresTreasures.Add(item);
}
//not currently using the ogreActionChoice function
private void UpdateGameStatus(OgreAction ogreActionChoice)
{
if (_gameOgre.SwampLocationID == 1)
{
_gameOgre.Health = 500;
}
if (_gameOgre.SwampLocationID == 5 && ogreActionChoice == OgreAction.TalkTo)
{
Dragon enemyDragon;
enemyDragon = _gameKingdom.GetDragonByID(2);
enemyDragon.Health = enemyDragon.Health - 100;
_gameOgre.Health = _gameOgre.Health - 100;
if (_gameOgre.Health == 0)
{
Console.WriteLine("You have died in battle. Bardul will now eat what remains of you.");
Console.ReadLine();
_usingGame = false;
}
else if (_gameOgre.Health < 200)
{
Console.WriteLine("Your health is getting low. You should return to Silvara to heal.");
Console.ReadLine();
}
else if (enemyDragon.Health == 0 && _gameOgre.Health != 0)
{
Console.WriteLine("Hurry!! You have have defeated the evil Dragon and made the world a better place.");
Console.ReadLine();
_usingGame = false;
}
}
}
#endregion
}
}
</s>
|
[
1,
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2
] |
<s> Find the user manual you need for your lawn garden product more at ManualsOnline. The instruction manual says to start it with your hand on the throttle; just a heads up for any. Weed Eater GTI19 Gas Trimmer Parts.</s>
|
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72,
5185,
59348,
30882,
8193,
59347,
5,
6,
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5,
59369,
2
] |
<s> package com.makecity.client.data.geo
import com.makecity.client.data.common.AppDatabase
import io.reactivex.Completable
import io.reactivex.Maybe
import javax.inject.Inject
interface GeoPointStorage {
fun replaceGeoPoint(geoPoint: GeoPointPersistence): Completable
fun getGeoStorage(): Maybe<GeoPointPersistence>
}
class GeoPointStoragePreference @Inject constructor(
private val appDatabase: AppDatabase
) : GeoPointStorage {
override fun replaceGeoPoint(geoPoint: GeoPointPersistence): Completable = Completable.fromCallable {
appDatabase.getGeoPointDao().insert(geoPoint)
}
override fun getGeoStorage(): Maybe<GeoPointPersistence> = Maybe.defer {
val geoPoint = appDatabase.getGeoPointDao().findFirst()
?: return@defer Maybe.empty<GeoPointPersistence>()
Maybe.just(geoPoint)
}
}</s>
|
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2
] |
<s> Why aren't the new Nordic dietary guidelines more explicit in warning against ultra-processed food?
Many people
rolled their eyes when the new Nordic dietary recommendations were published recently. Less meat, more plant-based foods and an emphasis on the environment
are key elements of the new advice.
The recommendations
say little about ultra-processed food, and has caused some scientists to
react.
More and more
studies link ultra-processed food to a number of health problems, such as
obesity, type 2 diabetes, high blood pressure, heart disease, depression and premature
death.
Most viewed
The elephant in the room
Ultra-processed
foods are industrial products with many ingredients. Several of these ingredients are
unusual for home kitchens, such as colouring agents and preservatives.
Annonse
"That's the elephant
in the room. The new recommendations do not set any guidelines for the industry
or the demand for ultra-processed food," says Simon Erling Nitter Dankel.
Dankel is a
professor and researcher of medicine and biochemistry in the Mohn Nutrition
Research Laboratory at the University of Bergen.
More than half of the food we
buy today is highly processed. Dankel believes that the dietary guidelines
ignore what he describes as the main challenge in our diet: ultra-processed
food products.
"The main
problem with the term 'ultra-processed food' is that the definition used is too
imprecise. Many healthy foods will also be included in the usual NOVA
classification used in the literature, in addition to many unhealthy foods,"
says Rune Blomhoff.
Blomhoff is a professor
of nutrition at the University of Oslo and head of research in the cancer
clinic at Oslo University Hospital. Since 2019, he has led the large joint
Nordic Nutrition Recommendations (NNR) project, which has led to the dietary
advice that was recently presented.
The NOVA
classification system was introduced in 2009. It divides food into four
categories ranging from unprocessed to ultra-processed. The model is used as a
starting point to look at the links between ultra-processed food, diet and
health.
Could have influenced food producers
Dankel believes
that the NNR's decision to disregard the NOVA model will have unfortunate
consequences for public health.
"Ultra-processed
food contributes significantly to lifestyle diseases, and there are good
alternatives to ultra-processed food," he says.
Dankel
emphasizes that zero intake isn't the goal, but rather reducing consumption of the
most highly processed food products.
"The food
producers could have been forced to come up with better alternatives if the
recommendations had included advice to eat less ultra-processed food," says
Dankel.
Wholemeal bread – not so healthy after all?
Annonse
The researcher
believes that some of the advice is unfortunate, as there is no focus on how
the food is made. He points in particular to products such as wholemeal bread,
which fall within the recommendation to eat whole grain products.
"A lot of wholemeal bread isn't as healthy as it seems, and it can be a mistake to base your
diet on it," says Dankel.
He stresses
that we can get enough fibre through other products.
Dankel does not
think that coarse or wholemeal bread in itself is unhealthy, it's the bread sold in grocery
stores that are often ultra-processed.
Blomhoff
disagrees. "The health effect of bread does indeed depend on the degree of
processing, but also whole grain bread is defined as ultra-processed. Crispbread,
yogurt and many other foods that have no documented harmful effects on health are
also included."
The NNR leader
believes their recommendations are more concrete and better suited than the
NOVA classification to encourage the food industry to make changes that will lead
to better public health.
Researcher Simon Erling Nitter Dankel believes that store-bought bread is not as healthy as many people think it is, because it is mass-produced.(Illustration photo: Nanderdewijk / Shutterstock / NTB)
Makes no sense
Nutritional
biologist Marit Kolby also thinks the new dietary guidelines should include
more information about the negative consequences of ultra-processed food.
"It makes no
sense for us not to communicate clearly that there is a difference in quality
between ultra-processed products and our original foods, which are whole foods and minimally processed food. We should at least, from a precautionary
perspective, inform the public that whole foods and minimally processed food
should be the foundation of our diet," says Kolby.
Blomhoff points
out that none of the advice in NNR is based on a precautionary principle and
says that they only make recommendations that are based on solid research.
"We give a lot
of advice that has to do with processing, but we describe the foods or food
groups that have documented adverse health effects more precisely. For example,
NNR's recommendations include limiting the intake of processed meat, sweets,
soft drinks with sugar, processed foods with added trans fats, saturated fat, salt
and sugar."
Head of Nordic Nutrition Recommendations Rune Blomhoff.(Photo: University of Bergen)
Kolby believes
that we do not need any ultra-processed food in our diet, even if the products
themselves are not unhealthy.
"It's important
to remember that better and less processed products are available for many of
the ultra-processed versions we buy so much of, such as bread, cold
meats, vegetarian replacement products, yogurt and cheeses," she says.
"We
should also drink water instead of soft drinks and energy drinks and milk
instead of chocolate milk and iced coffee, for example."
Consequences unknown
Dankel says
that a lot of the ultra-processed food has poorer nutritional content, because
part of the original content disappears during processing. The products are
also often supplemented with additives, which, according to Dankel, can have a
direct negative effect on our intestinal flora.
"We don't know
the consequences of this, but they could well be detrimental," he says.
Blomhoff
believes there is no reason to suspect that the additives used in Norway will
result in damage to our health.
"The Norwegian
Food Safety Authority administers these regulations and has strict rules for
additives in Norway," says the head of NRR.
What happens in ultra-processing?
Dankel and
Kolby also emphasize that the process itself that ultra-processed products go
through is harmful to health. Kolby says:
"Of course it's
difficult to estimate partial contributions in different types of processing,
because so much happens with these ultra-processed products on their way from their
raw state to a finished industrial product."
The nutritional
biologist explains that ultra-processing involves refining, where the raw
materials lose their structure and nutrients are concentrated. Additives are
added that change the food's effect on digestion and metabolism and, along with
physical and chemical processes, form harmful substances in the finished processed
food product.
Nutritional biologist Marit Kolby.(Photo: Sjo & Floyd, Asker)
"In combination,
this leads to processed food acquiring completely different properties when it
meets our biology than the raw foods that were the starting point," says Kolby.
A 2022 review
concluded that links between ultra-processed food and increased risk of disease
cannot be explained only by the fact that many ultra-processed products are
unhealthy, with little fibre and a lot of sugar and salt. The findings suggest
that something about the processing itself could play a role.
The NOVA Classification
1) Unprocessed
or minimally processed foods:
Unprocessed food such as
berries, fruit and vegetables, fresh meat, eggs and milk.
Minimally processed food is
natural food where inedible parts have been removed or are exposed to processes
such as drying, freezing or packaging.
2) Processed
culinary ingredients:
Ingredients based on Group 1 foods,
which are normal to use in cooking, such as salt, sugar, butter, cooking oil
and honey.
3) Processed
food:
Foods made by mixing foods from
Group 1 and Group 2, such as salted nuts, tinned berries, fish in oil,
home-baked bread and beer.
The processes include various
methods of cooking and preserving for quality, and are intended to improve the
shelf life and quality of Group 1 foods.
Additives such as antioxidants
and preservatives may be included.
4)
Ultra-processed food:
Industrial products with many
ingredients, including ones that are rarely used in the kitchen, such as
colourants, emulsifiers and thickeners.
Often made by combining several
processing steps or extensive machining.Examples of products are
industrially baked bread, biscuits, cakes, soft drinks, chocolate, ice cream,
sausages and burgers.
This article has been changed july 24th. "Raw foods" has been changed to "whole foods</s>
|
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1358,
12200,
1519,
7541,
1410,
4964,
5178,
59342,
1358,
6265,
7541,
2911,
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1458,
2980,
3470,
1377,
1358,
12200,
1519,
2994,
72,
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3470,
1571,
2661,
3505,
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1410,
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2
] |
<s> Understanding The Adoption Players
Although adoption is considered an act of love by the people involved, it is solely a legal action from the perspective of the state. In the process of adoption, a child is permanently placed with a family other than the child's birth parents. The birth parents' parental rights are permanently terminated, and transferred to the adoptive parents. This is a serious action for courts to take, as it deeply influences the lives of several people. There are many steps in the legal process necessary to complete an adoption, and many people involved in making it happen. As a first step in understanding the adoption process, it is a good idea to learn about the different people and formal roles that are involved in making the adoption process.
All adoptions start with birth parents, the biological mother and father of the child. Regardless of whether any contact between the birth parents and the adoptive parents is ever established, the birth parents still play an important role in the adoptive family. This role can take several shapes: the adopted child is very likely to wonder about his or her birth parents; the birth parents may become involved with the adoptive family through an open adoption; or, later on, the child or birth parents choose to try to find each other.
All adoptions also involve adoptive parents (those people who are permanently adopting a child and becoming that child's legal and responsible parents), and adopted children (the child or children who are being permanently adopted). We mention these important players for the sake of completeness.
Most adoptions proceed through an adoption agency. Adoption agencies play the part of a broker, bringing together couples desiring to adopt with birth parents and/or children in need of adoption. Most adoption agencies require that a home study be made as part of a couple's adoption application. Home studies are usually conducted by social workers, who often provide follow-up visits after placement to check on how the adoptive child is doing in his or her new home. While the social worker's primary role is always to protect the best interests of the child, he or she can also become an advocate for the adoptive family, helping them through the adoption process.
Lawyers are often necessary players in adoption proceedings, as they are the only professionals competent to represent adoptive parents before the court that is empowered to make the adoption legal and permanent. Lawyers handle the legal paperwork and court filings that are required in an adoption. Lawyers also sometimes act to coordinate adoptions in lieu of an adoption agency. In this role, they may help link adoptive parents with a child needing adoption, just as an adoption agency would.
No adoption is final until it goes before a judge, who is empowered by the state to place the final approval on the adoption process. The judge reviews all paperwork submitted by the lawyers and social workers involved in the adoption process, and makes the final determination as to whether or not the adoption will occur</s>
|
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1,
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5,
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64,
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72,
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5,
5,
1517,
5,
2
] |
<s> class Api::UsersController < ApplicationController
def create
@user = User.new(user_params)
if @user.save
render json: @user, status: :created
return
else
render json: @user.errors, status: :unprocessable_entity
end
end
def add_stocks
@user = User.find_by(username: params[:user][:username])
@stock = Stock.find_or_create_by(symbol: params[:stock][:symbol])
if @user && @stock
@user.stocks << @stock
render json: @user.stocks, status: :created
else
render json: @user.stocks, status: :unprocessable_entity
end
end
private
def user_params
params.require(:user).permit(
:id,
:username,
:password,
)
end
end
</s>
|
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3322,
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59320,
59384,
1385,
59320,
59345,
59345,
72,
2
] |
<s> Tag: Crozet Library
- Holiday Relaxation Event (December 15, 18+): Unwind from the holidays with a hot drink station, simple paper crafts, and casual conversation, all while embracing the Danish concept of 'hygge' (coziness). Pre-registration is encouraged from November 30, but walk-ins are welcome.
- Life Stories Workshop (November 16, 18+): Charlottesville Life Stories presents an interactive session focusing on the significance of family history, the benefits of writing one's life story, and the initial steps to begin this process. Participants will engage in mini writing exercises to spark their enthusiasm and equip them to start their own life stories. Registration is mandatory, starting November 1.
- DNA Testing Talk (November 8, 18+): Genetic counselor and author Brianne Kirkpatrick discusses how DNA testing can reveal ethnicity, family connections, and medical information, offering new insights into family history. Books will be available for purchase and signing.
- Author Talk: Susie McKenna (November 8, 12-1pm): Local author Susie McKenna discusses her latest thriller, 'Last Tracks', a gripping tale of a young couple's snowshoe adventure gone awry, turning into a fight for survival and revenge. Books will be available for purchase.
- Sensory Play for Toddlers (November 14, 6-35 months): Encourage your little ones' curiosity with open-ended, child-led play using various sensory materials. Expect a mess, so dress appropriately. Pre-registration is requested from July 26, but drop-ins are welcome.
- T'ai Chi Class (November 14, 18+): Join Lee Felton of Blue Ridge T'ai Chi for a class introducing basic movements and the ancient practice of T'ai Chi, focusing on balance, body awareness, and controlled motion. No prior experience is needed. Registration is required, starting July 26.
Upon receiving a diminutive wooden castle as a present, William is struck by an ineffable sense of enchantment. This sensation intensifies when a minuscule knight, accompanying the set, animates before his eyes. Obtain a complimentary copy of "The Castle in the Attic" by Elizabeth Winthrop from the Crozet Library, peruse it independently, and subsequently, engage with fellow Page Turners in a lively book club discussion, lasting an hour. This event is tailored for children aged 8 to 11.</s>
|
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6339,
5,
2
] |
<s> import junit_xml_output
import sys
counter=0
fname=sys.argv[1] # filename to grep
err=sys.argv[2] # error message to grep for
test_cases = []
f = open(fname, "r")
for x in f:
if (x.find(err) != -1):
test_cases.append(junit_xml_output.TestCase("line: " + str(counter) , x, "failure"))
#print(x)
counter += 1
f.close()
junit_xml = junit_xml_output.JunitXml(fname, test_cases)
print (junit_xml.dump())
</s>
|
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2732,
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2407,
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1409,
59342,
1696,
1358,
14580,
1457,
1476,
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1843,
53463,
8900,
1694,
48386,
2350,
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72,
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31168,
1449,
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3882,
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49703,
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2271,
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1523,
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1901,
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7822,
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4681,
15819,
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3924,
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2271,
3822,
1367,
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1766,
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2620,
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1496,
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1417,
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5,
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1808,
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2271,
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59361,
59323,
9084,
28808,
72,
1496,
9821,
1571,
1449,
8260,
1664,
2620,
2271,
30756,
59342,
1496,
13283,
1449,
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1352,
23401,
3493,
1615,
2701,
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74,
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3308,
32390,
59361,
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14619,
1766,
20778,
1510,
1358,
4599,
7927,
59361,
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14219,
3718,
59342,
1733,
3344,
2638,
1367,
1523,
2271,
1377,
35953,
2134,
59361,
59328,
41026,
1409,
72,
5,
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59354,
6669,
31865,
10360,
2620,
1544,
17336,
59342,
1496,
3443,
1417,
59361,
1412,
1843,
1377,
41434,
1421,
1348,
15239,
72,
1417,
59361,
59335,
9541,
7377,
72,
1417,
2286,
1441,
24928,
1520,
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59354,
2063,
31343,
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23369,
4069,
1476,
1523,
1348,
19768,
1385,
3386,
1525,
1348,
17162,
38082,
72,
1496,
6168,
1449,
40524,
59342,
1417,
59361,
1699,
2314,
2002,
1358,
10938,
72,
59354,
5,
5,
3747,
30925,
16708,
1766,
8563,
8130,
59342,
4185,
72,
2655,
2286,
2271,
40524,
1348,
31528,
1782,
59342,
5410,
1745,
2271,
11192,
74,
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24346,
2620,
2271,
8071,
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1496,
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1699,
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1766,
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72,
5,
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1441,
43545,
4623,
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74,
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1753,
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1377,
2100,
40322,
72,
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1933,
63,
2693,
3827,
5848,
1349,
59342,
2303,
18454,
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1458,
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1510,
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8742,
19748,
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3041,
1358,
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1523,
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1465,
2645,
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1584,
3300,
40083,
1385,
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59342,
24342,
6705,
1385,
3114,
2995,
1707,
1379,
2100,
19030,
72,
15360,
2100,
17461,
1510,
35953,
2134,
59361,
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13168,
59342,
2754,
22016,
1715,
19224,
1421,
2100,
1384,
15760,
1377,
1939,
1816,
6143,
2269,
59342,
2271,
1523,
5278,
1628,
1558,
1882,
2271,
16708,
2271,
2003,
32669,
2100,
41979,
72,
3519,
59342,
35953,
2134,
5908,
1939,
2843,
3990,
59342,
1745,
1379,
1697,
44770,
2100,
1715,
2258,
59342,
1348,
9237,
2271,
2003,
44606,
72,
2685,
1828,
31798,
1358,
20964,
59342,
1358,
1554,
1629,
63,
32022,
1433,
33915,
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1441,
2108,
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2054,
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72,
4720,
4627,
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1766,
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1462,
2277,
1835,
1766,
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1385,
1766,
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1377,
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59384,
72,
15953,
50662,
59342,
35953,
2134,
9457,
1828,
1580,
1348,
16101,
59342,
35281,
1828,
2003,
1835,
1458,
7946,
1385,
29048,
72,
5,
5,
8677,
26891,
1358,
3176,
59342,
15786,
1835,
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3035,
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5435,
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30925,
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5065,
13405,
72,
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59342,
2271,
1368,
1626,
8840,
1835,
1358,
3543,
14207,
1379,
2608,
2914,
2100,
6138,
1766,
2702,
59342,
1467,
2271,
2003,
3410,
1843,
45843,
2178,
1384,
11562,
72,
17607,
1745,
1385,
1908,
3035,
11660,
2731,
59342,
2271,
27003,
1835,
1358,
3543,
1726,
10479,
2260,
1379,
2100,
8184,
72,
15606,
59342,
2732,
30925,
1523,
26498,
8913,
1835,
1358,
14789,
12421,
59342,
1348,
38629,
35953,
2134,
2003,
6809,
36687,
72,
2685,
1828,
56457,
2139,
1766,
29669,
59342,
35953,
2134,
14619,
1766,
12421,
59361,
59328,
59050,
1432,
1745,
1379,
1358,
28341,
39055,
1384,
35059,
25711,
2732,
30925,
3588,
72,
5,
5,
3747,
30925,
59361,
59328,
15786,
34767,
1556,
59342,
14077,
2100,
1385,
4855,
1951,
1348,
10235,
34143,
72,
1507,
4455,
1379,
31729,
1377,
1358,
10427,
59342,
1450,
2025,
16347,
2051,
1524,
2440,
47970,
2054,
1525,
1358,
5813,
59342,
1523,
1694,
45234,
1597,
72,
3308,
2997,
19883,
2100,
13226,
1379,
38947,
1385,
35953,
2134,
59342,
34437,
1457,
1536,
1940,
48215,
1523,
1348,
4965,
2956,
72,
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59341,
3761,
2766,
59342,
2271,
6651,
1385,
19325,
59342,
2637,
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1457,
2271,
2286,
1573,
5916,
1358,
10427,
72,
5,
5,
59365,
1423,
2134,
21504,
32923,
3027,
59342,
36723,
2081,
2100,
1457,
1828,
1727,
1877,
1919,
39056,
1385,
11958,
72,
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1782,
2533,
74,
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1358,
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12446,
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17218,
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1523,
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4681,
1573,
5787,
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23946,
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2620,
1544,
18711,
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2110,
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2467,
1467,
25146,
1467,
1544,
2003,
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2003,
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4944,
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1727,
8797,
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1384,
2271,
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1536,
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72,
5,
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1423,
2134,
1369,
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1348,
12512,
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2620,
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1385,
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72,
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1523,
1421,
13978,
59342,
2271,
16708,
59342,
1348,
3298,
48761,
72,
2063,
3265,
2003,
39751,
1358,
9568,
17541,
3184,
59320,
63,
1348,
35953,
2134,
5371,
2003,
43900,
1556,
1766,
13407,
59342,
2110,
9391,
2467,
2750,
1348,
15492,
72,
5,
5,
4453,
15948,
21463,
14476,
2065,
59342,
4681,
1828,
2003,
2319,
39751,
1476,
72,
3067,
2286,
11575,
1441,
1358,
15516,
74,
5,
5,
59354,
4596,
1358,
2369,
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1417,
59361,
1412,
3428,
1895,
19224,
1377,
1358,
14286,
1421,
1449,
59342,
1796,
1449,
59361,
59332,
1972,
1385,
3020,
2533,
17674,
2620,
35953,
2134,
9173,
59342,
16769,
1859,
1414,
14535,
4462,
1525,
2732,
30925,
72,
5,
5,
59354,
28906,
59342,
9861,
1449,
2620,
2271,
21504,
59342,
20086,
2631,
1510,
1358,
8487,
72,
1496,
12032,
1449,
58194,
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1520,
1842,
7623,
74,
59354,
2271,
6575,
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1434,
72,
5,
5,
59354,
10070,
34318,
74,
3721,
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1417,
59361,
1412,
3946,
1843,
3374,
1385,
2620,
35953,
2134,
17336,
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8257,
1385,
8181,
15282,
1432,
1859,
51788,
1467,
2271,
3428,
1358,
4738,
72,
3141,
3999,
2271,
11883,
1358,
1782,
1377,
1358,
14286,
1523,
1573,
35953,
2134,
72,
5,
5,
59365,
1423,
2134,
1523,
3050,
2967,
1450,
54618,
25298,
2819,
59342,
1697,
3428,
2732,
30925,
12852,
1835,
2100,
40902,
72,
3308,
1856,
6897,
1421,
2995,
1385,
36123,
2100,
11977,
3027,
59342,
1385,
32166,
2100,
2002,
2100,
9499,
1384,
14975,
2100,
2524,
1432,
1358,
5699,
59342,
1384,
2110,
72,
72,
72,
2100,
13212,
1560,
5520,
2002,
72,
1507,
35866,
5010,
1379,
1476,
2563,
2100,
18507,
3671,
10299,
72,
3308,
11883,
2024,
1952,
2185,
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1696,
1358,
24488,
1379,
4780,
14041,
1432,
1476,
12179,
2100,
1450,
1458,
1377,
1506,
2012,
1597,
56183,
72,
5,
5,
5592,
16746,
10761,
59342,
1696,
5500,
3319,
10761,
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1348,
1782,
2003,
21197,
1385,
7035,
1446,
2100,
59342,
1358,
2461,
1782,
1872,
2003,
1570,
4021,
1367,
2100,
18507,
59342,
1384,
2271,
2003,
21209,
2437,
10797,
1358,
6770,
72,
2655,
2286,
2271,
1580,
32669,
2213,
1348,
35909,
3184,
74,
2738,
35953,
2134,
2003,
1843,
1887,
72,
35953,
2134,
2003,
42872,
1367,
72,
5,
5,
59365,
1423,
2134,
2003,
8491,
1859,
51788,
1384,
4603,
1432,
1895,
11501,
1364,
1882,
2732,
30925,
8767,
22115,
1525,
1358,
14286,
72,
3308,
6664,
1385,
4198,
2100,
45506,
1510,
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26842,
2906,
8839,
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3041,
2100,
11806,
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72,
5,
5,
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1410,
1457,
1474,
2082,
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1449,
74,
59354,
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1462,
2277,
1467,
2732,
30925,
4870,
1358,
2652,
33055,
1379,
51788,
72,
5,
5,
59354,
5918,
3884,
2620,
2271,
43267,
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35844,
21924,
15300,
1865,
2100,
2759,
5159,
17875,
72,
5,
5,
13370,
6081,
1434,
55625,
1421,
1895,
8178,
1817,
1450,
2100,
10963,
1432,
1766,
51722,
2049,
5826,
72,
5,
5,
59357,
1378,
12773,
59342,
1476,
1523,
72,
23472,
35953,
2134,
2339,
1352,
6962,
1519,
1835,
2560,
8178,
1450,
2100,
74,
22882,
1544,
1953,
2406,
1544,
3427,
30611,
4552,
1385,
2100,
1645,
1539,
1377,
1358,
13374,
1379,
4648,
74,
3308,
37735,
1348,
26220,
20825,
59342,
1348,
3326,
27483,
1379,
5514,
1421,
1766,
4383,
28261,
1389,
1358,
17407,
13011,
1394,
72,
2442,
2025,
2271,
2286,
1376,
8795,
1358,
11261,
14668,
20649,
72,
5,
5,
59401,
1749,
1726,
33190,
1808,
1371,
1377,
59191,
2914,
11341,
59342,
2732,
30925,
10492,
1348,
12649,
1487,
1379,
58816,
72,
42691,
1590,
5581,
59342,
1348,
2885,
2271,
2003,
2025,
2376,
1835,
59342,
1523,
2336,
3019,
6267,
72,
1507,
15626,
4342,
59342,
4586,
3344,
8872,
1367,
1520,
1690,
1359,
10047,
4830,
59361,
32727,
1374,
29964,
59342,
1523,
1835,
1385,
14440,
1932,
50392,
4537,
72,
3308,
1523,
1973,
6833,
1457,
2213,
1458,
3184,
1523,
23136,
1385,
1901,
1407,
59342,
1510,
3999,
1377,
2100,
17703,
72,
5,
5,
59365,
1423,
2134,
4575,
42003,
2100,
1432,
1358,
8002,
59342,
6290,
1895,
7068,
72,
51354,
59342,
56742,
1377,
5225,
59342,
11373,
9680,
1385,
17428,
2054,
1377,
15471,
59342,
31487,
1385,
1441,
1348,
10452,
25036,
2520,
72,
2685,
1828,
31798,
42691,
1590,
5581,
59342,
4944,
59342,
2732,
30925,
59361,
59328,
31659,
6651,
1385,
1366,
2611,
59342,
11604,
1520,
1348,
7758,
26498,
1582,
72,
1507,
53941,
15287,
1379,
29652,
20181,
3269,
1384,
58105,
11464,
59342,
6053,
1348,
3924,
1379,
2167,
1633,
59342,
9173,
3515,
1608,
6587,
72,
5,
5,
59401,
1749,
20778,
59342,
1690,
1359,
10047,
4830,
3933,
35905,
1377,
1358,
6254,
59342,
1932,
12222,
1570,
1589,
7901,
1377,
9491,
72,
1507,
18086,
50636,
1707,
1377,
1348,
16347,
59342,
9491,
2822,
8055,
72,
1420,
2288,
16616,
9036,
1510,
1358,
19842,
59342,
1696,
1766,
3580,
32863,
57601,
41789,
1434,
33041,
5026,
2732,
30925,
59361,
59328,
10767,
1520,
12997,
1371,
1759,
63,
59336,
4613,
1871,
13473,
72,
2063,
38729,
2054,
59342,
1496,
2219,
8002,
2555,
8020,
1510,
3151,
59342,
1733,
4128,
5737,
1449,
59361,
1352,
2237,
2438,
1520,
2566,
39367,
63,
25840,
72,
22663,
1615,
1817,
59342,
1384,
1417,
59361,
1699,
2198,
1449,
1645,
3661,
72,
17198,
1872,
59361,
1412,
36807,
1358,
25711,
5145,
59342,
3735,
1664,
5666,
1358,
35083,
1377,
39206,
4760,
72,
59354,
5,
5,
6171,
1644,
31934,
5047,
1379,
1358,
8002,
59361,
59328,
21956,
1560,
5520,
1358,
8394,
1951,
1358,
15626,
52838,
72,
5,
59354,
59355,
32390,
59361,
59323,
10668,
1358,
5145,
2620,
35953,
2134,
15494,
1367,
72,
1496,
59355,
26949,
1554,
2286,
8833,
19014,
72,
4441,
2369,
59342,
1554,
1899,
1358,
21771,
72,
59354,
5,
59354,
2010,
49674,
5010,
2620,
51354,
6531,
29696,
72,
5,
59401,
1749,
1492,
5360,
1358,
8002,
59342,
1828,
10885,
1348,
53181,
6208,
1358,
18717,
9810,
59332,
3493,
8394,
15509,
1384,
7646,
2846,
24740,
72,
35953,
2134,
14236,
1348,
8394,
3629,
2596,
51354,
1384,
2732,
30925,
58469,
5666,
72,
5,
3747,
30925,
1523,
15571,
2002,
16573,
1520,
1348,
16201,
8546,
1379,
54300,
6138,
18748,
1358,
35083,
72,
3308,
2003,
5051,
1385,
3671,
3162,
59342,
3932,
1726,
33190,
1808,
1367,
1525,
1358,
8002,
72,
3308,
4759,
29850,
3538,
1384,
4870,
1348,
6396,
14511,
59342,
24555,
1385,
13966,
2100,
42249,
1385,
39943,
1362,
72,
5,
2219,
42565,
6651,
1766,
22431,
1510,
1358,
16563,
59342,
13964,
8742,
21582,
7194,
3588,
1358,
2369,
72,
2732,
30925,
1523,
5278,
1628,
1558,
1520,
1358,
11986,
1379,
31338,
59375,
2271,
2003,
27322,
2025,
3250,
14792,
1384,
12130,
2822,
2140,
59322,
2417,
72,
15686,
59342,
2302,
9969,
23901,
16415,
59342,
1895,
2478,
3574,
30725,
12130,
59328,
1384,
21043,
15108,
72,
5,
2219,
1380,
9584,
1870,
1727,
1348,
3818,
1692,
59342,
1766,
29418,
10057,
2911,
13626,
72,
1646,
1745,
1379,
1358,
8542,
37727,
59342,
1348,
5118,
1384,
5349,
1383,
23902,
1347,
53637,
1617,
2355,
1367,
1358,
8093,
59342,
1776,
11347,
5495,
1379,
58871,
1384,
15471,
1525,
26280,
4109,
72,
1507,
2362,
3827,
15948,
1385,
12641,
1446,
1450,
11243,
1359,
1379,
1358,
15626,
4342,
59361,
59328,
2810,
72,
5,
59364,
1805,
4069,
1951,
1358,
40459,
59342,
2732,
30925,
31022,
1367,
2100,
9446,
72,
3308,
2194,
1837,
1367,
1377,
1726,
12295,
4920,
1467,
2271,
34077,
1548,
1920,
2974,
8007,
1730,
1371,
1358,
5800,
1384,
3797,
1584,
1422,
1377,
1385,
31276,
1384,
10281,
1870,
44326,
3325,
1835,
72,
3308,
41638,
1796,
2271,
1523,
23140,
1895,
6031,
1379,
12047,
1533,
1508,
1796,
1887,
1523,
1348,
12029,
1396,
1356,
1518,
1482,
5254,
2885,
72,
5,
14587,
2638,
1358,
5800,
59342,
2732,
30925,
14619,
1348,
4539,
5695,
14862,
8178,
59342,
3863,
6700,
1384,
1421,
59329,
2355,
72,
1507,
5695,
59361,
59328,
10281,
1374,
1523,
4258,
3265,
2288,
59342,
1384,
2732,
30925,
1953,
2406,
2271,
3427,
9373,
1796,
2271,
7366,
72,
1507,
5695,
9680,
2100,
1414,
14535,
7130,
2732,
30925,
59342,
34437,
25255,
8055,
9446,
1457,
15948,
1401,
1349,
2168,
12446,
72,
2732,
30925,
10492,
2100,
4807,
1977,
1351,
1467,
2271,
1523,
38729,
1379,
39716,
72,
5,
5,
59353,
2211,
5435,
1434,
59342,
2271,
1523,
1377,
1660,
1556,
1450,
2291,
23261,
72,
1507,
1616,
1484,
11021,
1379,
1397,
5435,
19258,
59342,
1358,
3440,
1409,
1379,
1715,
2810,
59342,
1358,
49345,
1379,
4873,
59342,
1384,
1358,
27233,
16332,
1379,
3035,
3551,
59342,
22593,
4553,
2906,
1998,
72,
1826,
1523,
1348,
1369,
3300,
1386,
59342,
1977,
7193,
19371,
1377,
2100,
14935,
59342,
1879,
1391,
2065,
1384,
11261,
14668,
72,
2732,
30925,
21197,
1385,
12779,
1476,
1707,
59342,
1696,
2100,
5365,
1523,
1348,
1361,
1405,
3553,
4774,
1379,
12000,
59342,
1348,
8157,
29966,
1385,
35519,
10382,
59342,
4681,
2271,
11381,
59361,
59323,
25819,
1358,
2002,
8577,
72,
5,
5,
59354,
22000,
73,
59354,
2732,
30925,
1361,
4558,
1707,
59342,
1584,
27279,
2100,
8512,
1865,
2100,
31209,
72,
3163,
1358,
30989,
56733,
59342,
2902,
1384,
1694,
16499,
1371,
3019,
2100,
5365,
72,
3308,
9712,
1358,
23233,
1757,
13799,
1467,
1828,
16708,
1358,
32727,
59326,
59361,
59328,
1368,
2847,
1523,
1377,
1359,
8115,
1597,
59342,
6603,
1520,
1458,
1401,
38223,
37099,
59342,
1467,
1796,
1358,
2809,
2003,
53573,
1385,
3771,
72,
5,
5,
13370,
19225,
1367,
3987,
1432,
2100,
36600,
72,
5,
5,
59354,
3747,
30925,
59342,
1502,
1449,
1474,
2082,
74,
59354,
1507,
3361,
59361,
59328,
8209,
1523,
19418,
59342,
3965,
35953,
2134,
1508,
51354,
2003,
25923,
72,
1826,
6094,
1367,
1573,
59375,
2271,
1523,
3537,
1461,
1405,
37473,
59342,
2100,
3795,
5242,
40224,
1450,
28802,
2135,
26494,
72,
5,
5,
59365,
1423,
2134,
8040,
2100,
59342,
2123,
16880,
2100,
7528,
1525,
2100,
5558,
72,
15360,
2100,
8736,
59342,
2732,
30925,
11381,
59361,
59323,
4976,
1358,
9079,
11660,
1592,
72,
3308,
1856,
6897,
1385,
1912,
1391,
2291,
10597,
59342,
1385,
14786,
2100,
14935,
1384,
40322,
1379,
1457,
6516,
7193,
13387,
72,
5,
5,
59354,
59355,
59361,
1699,
2661,
1449,
2237,
1385,
1358,
8002,
2620,
51354,
9173,
59342,
1696,
1358,
35866,
4455,
1379,
1358,
11512,
26787,
3351,
8546,
1379,
54300,
72,
49966,
59342,
2025,
44130,
36122,
12102,
59342,
4681,
2100,
3795,
9012,
1385,
9079,
20094,
72,
3308,
48093,
1385,
2100,
44087,
59342,
30221,
35953,
2134,
2524,
1450,
2100,
72,
5,
5,
59354,
4453,
59361,
59328,
23255,
59342,
1476,
59361,
59328,
23255,
2620,
35953,
2134,
1733,
1411,
1889,
59342,
2720,
1422,
3493,
2100,
1377,
1859,
17081,
72,
5,
5,
14716,
1936,
2499,
2100,
5591,
1539,
59342,
2732,
30925,
1523,
27165,
1520,
51354,
1384,
35953,
2134,
2237,
1385,
1766,
8002,
72,
11104,
1803,
1371,
1432,
1766,
4318,
59342,
35953,
2134,
1399,
4432,
1367,
59342,
1496,
4221,
16502,
59361,
59323,
1580,
3611,
2438,
72,
1417,
59361,
59335,
16094,
59342,
2732,
30925,
72,
1417,
16502,
59361,
59323,
1580,
12557,
1449,
1385,
1536,
59342,
2560,
1467,
11412,
1467,
1449,
1502,
72,
59354,
51354,
59342,
4944,
59342,
1523,
11829,
15306,
59342,
1496,
59371,
4270,
59361,
59328,
1348,
11412,
59342,
1384,
1449,
9293,
2100,
2438,
74,
2655,
2286,
1449,
1441,
1733,
2568,
2822,
74,
59354,
5,
5,
3747,
30925,
59342,
10597,
3265,
10299,
1385,
42872,
59321,
59342,
55517,
6575,
59342,
1496,
5856,
59361,
59328,
1348,
11412,
74,
59354,
51354,
1433,
2406,
1510,
2100,
59342,
2110,
1510,
35953,
2134,
59342,
1496,
13370,
4277,
59361,
59323,
2127,
74,
2292,
10126,
59361,
59323,
5793,
2100,
74,
3067,
1580,
1449,
1843,
17909,
2100,
59342,
16032,
74,
59354,
35953,
2134,
43267,
59342,
1496,
48636,
59342,
1417,
5175,
59361,
59323,
2629,
2271,
4907,
1385,
2127,
72,
59354,
51354,
52353,
59342,
1496,
9821,
59361,
59328,
2271,
13126,
1385,
8260,
18454,
1796,
2271,
4277,
59361,
59323,
2127,
1980,
74,
32381,
2100,
2336,
73,
59354,
5,
5,
59365,
1423,
2134,
59342,
4944,
59342,
52353,
1432,
11072,
3639,
1828,
1727,
2237,
1432,
1358,
10370,
59342,
40390,
1358,
1929,
1421,
14181,
72,
51354,
59342,
2336,
6351,
1805,
59342,
28563,
2202,
1421,
2100,
1707,
55801,
59342,
1496,
59355,
2042,
3596,
1733,
33443,
1450,
1449,
72,
1417,
4455,
1449,
2003,
1753,
6423,
72,
53405,
59361,
59328,
1348,
14128,
7664,
59342,
1573,
1348,
2644,
72,
2292,
1571,
59361,
59323,
3386,
2100,
1377,
1358,
7978,
20342,
72,
59354,
5,
5,
2219,
11512,
2237,
1523,
56375,
2411,
1910,
2732,
30925,
2003,
27322,
72,
2685,
1828,
2106,
4345,
7874,
1525,
42691,
1590,
5581,
59342,
2100,
54300,
1926,
34472,
72,
51354,
4575,
42003,
2100,
59342,
2596,
35953,
2134,
4870,
1348,
11372,
1348,
3155,
14858,
6491,
72,
15360,
1358,
26842,
24110,
59342,
2732,
30925,
1523,
3428,
17029,
1835,
1358,
35057,
3717,
59361,
27149,
59361,
1384,
3965,
2271,
11154,
6664,
1385,
2127,
1932,
7912,
72,
5,
5,
59380,
2092,
3094,
1580,
52472,
1367,
1895,
2434,
1385,
1449,
59342,
19216,
59361,
59323,
1544,
74,
59354,
51354,
1377,
1462,
2277,
72,
5,
59354,
5592,
7388,
72,
5884,
6141,
1727,
25276,
1457,
1544,
2286,
43582,
1578,
1664,
1796,
1554,
1727,
9092,
2620,
2732,
30925,
43267,
72,
5,
59354,
6577,
59361,
1352,
4402,
72,
2972,
59361,
59328,
46654,
1377,
1358,
12084,
1379,
1939,
7646,
7053,
72,
16032,
1410,
7913,
1379,
1536,
2620,
51354,
36687,
72,
5,
3747,
30925,
1368,
5979,
1367,
1377,
2100,
11372,
59342,
56176,
1959,
1980,
1385,
24426,
1385,
51354,
1457,
35953,
2134,
15948,
1726,
3287,
9752,
1377,
2043,
3092,
1959,
1766,
15072,
72,
1507,
12280,
1379,
1766,
11512,
1523,
8571,
1377,
37099,
72,
2732,
30925,
2336,
55625,
2271,
2003,
3946,
4526,
21136,
1421,
2995,
59342,
3946,
9049,
2995,
59342,
1384,
3946,
41773,
1367,
1432,
1536,
5266,
63,
15812,
3315,
29917,
72,
1408,
11147,
7546,
1367,
5574,
3080,
2524,
2100,
5558,
72,
5,
54440,
59339,
9173,
2167,
1633,
1520,
35055,
27630,
2100,
2587,
59342,
15353,
1457,
6141,
1727,
26707,
72,
5,
3747,
30925,
1856,
6897,
1421,
35953,
2134,
1385,
2889,
7068,
59342,
1696,
1544,
2025,
15948,
1385,
5467,
2100,
4533,
59334,
1783,
59342,
1348,
3750,
1467,
1694,
16499,
1371,
1467,
1458,
2617,
16710,
72,
1507,
2121,
27233,
3750,
8402,
1347,
1597,
1523,
1694,
2363,
2139,
3531,
72,
2655,
2286,
1745,
3531,
5307,
1872,
2579,
1573,
2702,
2608,
21136,
74,
5,
3747,
30925,
1523,
1973,
6833,
1882,
1828,
8108,
1385,
1358,
10370,
59342,
27080,
1371,
42691,
1590,
5581,
1384,
1932,
6516,
26054,
72,
3308,
1471,
22097,
3946,
1385,
2164,
1539,
2213,
1458,
3385,
2517,
72,
51354,
10464,
26456,
2054,
1385,
1766,
13407,
59342,
11231,
2054,
1377,
1358,
2242,
46022,
59342,
1510,
1348,
4873,
1421,
6141,
72,
5,
17130,
23901,
1887,
59342,
1939,
58297,
59342,
10453,
1766,
8563,
4537,
72,
3067,
2003,
11642,
5257,
1687,
2131,
2054,
74,
5,
3747,
30925,
11160,
1712,
1510,
2995,
2128,
2100,
42628,
1399,
17002,
59342,
2100,
14511,
6297,
26494,
72,
2063,
1414,
29077,
1510,
2100,
1450,
2213,
27424,
2714,
59342,
1384,
1383,
1579,
2271,
5514,
59342,
3531,
74,
5,
59354,
59355,
45536,
59342,
2732,
30925,
72,
1417,
2147,
3946,
1580,
5278,
1449,
1887,
72,
1417,
11883,
1358,
3543,
14586,
1384,
8148,
1385,
7152,
1449,
1980,
1385,
4906,
2054,
2620,
35953,
2134,
2997,
19883,
72,
5,
59352,
14761,
1434,
59342,
1358,
10370,
49563,
59342,
1384,
2732,
30925,
1523,
24501,
1951,
1859,
17081,
72,
3330,
12102,
1887,
59342,
24140,
59342,
1421,
2024,
10492,
1972,
1458,
3413,
3097,
1499,
72,
35953,
2134,
19903,
1358,
37099,
72,
5,
59354,
4221,
2147,
1717,
5666,
59342,
1384,
1417,
59361,
1699,
5716,
1385,
9083,
72,
1417,
1757,
9524,
1769,
2127,
2132,
1385,
4848,
72,
5,
5,
3747,
30925,
2003,
1348,
3077,
15829,
1421,
1766,
13607,
59320,
63,
1348,
36123,
1385,
49201,
59342,
1696,
1859,
38972,
14975,
22110,
72,
3308,
25353,
16806,
12999,
1358,
13407,
59342,
2800,
2995,
72,
2063,
4870,
1348,
11372,
1432,
1358,
33420,
4303,
57124,
59342,
2596,
2732,
30925,
1703,
5033,
1432,
1358,
8793,
1379,
1358,
5699,
5667,
4073,
1525,
2995,
72,
5,
5,
59354,
59355,
59361,
1699,
49201,
1536,
32779,
1467,
1745,
1952,
1348,
5024,
2620,
1544,
6651,
72,
1496,
9821,
1835,
1554,
2279,
1450,
1772,
33653,
6138,
1348,
1817,
59361,
74,
59354,
5,
5,
59354,
5415,
1536,
1385,
1441,
1348,
54615,
32779,
59342,
2110,
74,
59354,
2732,
30925,
1377,
1462,
2277,
59342,
20902,
1458,
5107,
3215,
1773,
72,
5,
5,
59354,
5201,
5052,
59342,
1449,
59361,
1699,
2198,
72,
11152,
6138,
1348,
1817,
59342,
1377,
1348,
30939,
4529,
59342,
1887,
29354,
1939,
8797,
19389,
59358,
11444,
1384,
1358,
1529,
1685,
1347,
72,
1507,
1529,
1685,
1347,
44770,
1348,
25255,
1396,
22309,
1659,
1385,
11444,
1696,
16409,
1367,
4786,
14966,
59342,
7388,
1766,
3545,
72,
5,
5,
59354,
59401,
1749,
17886,
3683,
18358,
59342,
1529,
1685,
1347,
3545,
4526,
27796,
18321,
59342,
20422,
4755,
1377,
1766,
6088,
37356,
72,
3330,
2286,
2664,
1412,
1951,
29774,
59342,
37232,
1348,
1394,
1944,
59342,
1384,
8007,
4219,
2407,
25285,
1450,
2042,
1348,
4455,
72,
5,
5,
59354,
40470,
2009,
18321,
59342,
1529,
1685,
1347,
10815,
1523,
2527,
1460,
1946,
1364,
72,
9898,
57225,
59342,
1348,
11118,
1952,
1441,
6052,
1450,
2009,
21423,
59342,
18925,
1371,
15955,
1865,
1872,
2147,
8030,
59320,
63,
3797,
1508,
3545,
72,
5,
5,
59354,
17130,
1955,
1506,
12798,
1943,
1405,
13681,
1450,
11444,
59342,
1348,
7458,
2054,
1450,
5429,
4582,
1384,
2077,
1959,
6700,
5832,
59342,
3836,
1875,
3628,
72,
1507,
1529,
1685,
1347,
1751,
16409,
1367,
6862,
1374,
21423,
59342,
28192,
53042,
1384,
1401,
1551,
4142,
1359,
72,
5,
5,
59354,
11046,
3169,
59342,
11444,
49960,
1432,
1358,
1529,
1685,
1347,
1421,
2213,
46935,
59342,
1696,
13226,
15748,
1467,
1828,
2194,
4094,
1358,
1529,
1685,
1347,
1421,
14077,
5069,
49079,
1384,
23945,
27174,
72,
14891,
4702,
1421,
1536,
13226,
1523,
1358,
1529,
1685,
1347,
59361,
59328,
8135,
1459,
2300,
59320,
63,
1828,
53573,
15861,
2055,
17886,
2914,
28137,
2243,
1379,
3612,
72,
59354,
5,
5,
59354,
6577,
3341,
1828,
1727,
8135,
50179,
74,
59354,
2732,
30925,
11848,
2514,
72,
5,
5,
5201,
5052,
59342,
1828,
1727,
30048,
1385,
1703,
7236,
59342,
1696,
1573,
3642,
1385,
1358,
27013,
1379,
1817,
72,
11255,
15861,
2361,
2003,
38588,
1367,
59342,
1697,
13114,
23004,
1367,
1766,
3441,
26951,
72,
3015,
40516,
1536,
59342,
1358,
1529,
1685,
1347,
16515,
1358,
10796,
1379,
17714,
6332,
59342,
31049,
1377,
1766,
4746,
3435,
1508,
7797,
1532,
59342,
2596,
2911,
44383,
1766,
11079,
2285,
29772,
1355,
1379,
2914,
28137,
2243,
72,
5,
5,
3747,
30925,
59342,
24555,
1385,
13966,
1891,
1406,
2297,
59342,
1377,
1462,
2277,
59342,
1496,
59353,
2071,
1379,
31914,
1726,
6718,
1998,
74,
59354,
5,
59354,
2153,
1348,
10897,
1379,
16033,
2620,
1358,
16434,
43267,
72,
7351,
1817,
59342,
1358,
1529,
1685,
1347,
35808,
4978,
1525,
3441,
4151,
59342,
13226,
1371,
3543,
2135,
3728,
3041,
36249,
59361,
59328,
28802,
4537,
72,
11255,
2701,
27555,
1727,
22469,
59342,
1450,
1358,
2121,
9542,
5365,
16514,
7694,
31706,
1384,
10009,
3639,
30756,
72,
3519,
59342,
1348,
10079,
10545,
3836,
1358,
1529,
1685,
1347,
59342,
11575,
3642,
1385,
25063,
32120,
1385,
11444,
72,
2426,
33948,
50638,
59342,
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4318,
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1421,
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26463,
72,
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4455,
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3427,
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3428,
2100,
2319,
57755,
3423,
1556,
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50110,
72,
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8627,
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36163,
72,
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13212,
12102,
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5911,
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72,
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41638,
1796,
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18525,
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11231,
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3810,
1738,
4774,
1379,
19312,
3493,
19608,
72,
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2271,
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19184,
1367,
59342,
2732,
30925,
8870,
1358,
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16631,
2054,
1385,
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1417,
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2100,
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72,
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58996,
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1467,
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4738,
9081,
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3019,
2100,
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1348,
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2271,
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2533,
8619,
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2100,
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44168,
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1583,
1421,
13017,
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1384,
28078,
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1952,
53622,
1450,
2100,
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72,
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1450,
9995,
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2183,
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72,
5,
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72,
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2271,
10550,
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3145,
1348,
2671,
1597,
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1402,
59342,
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2271,
27929,
1450,
1348,
54477,
43369,
3428,
1520,
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72,
2655,
2003,
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2100,
1929,
1421,
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74,
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72,
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2732,
30925,
15494,
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1371,
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1449,
4757,
74,
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2732,
30925,
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5,
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1348,
12813,
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1385,
2111,
1449,
9728,
72,
5878,
1417,
3094,
2661,
1895,
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5582,
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3985,
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1807,
40848,
73,
3804,
38960,
1952,
51685,
1358,
2809,
72,
13106,
1449,
1842,
5010,
1980,
2288,
1417,
59361,
1412,
17643,
3351,
11400,
1529,
1685,
1347,
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1972,
8838,
74,
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5,
5,
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4462,
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2303,
2100,
8512,
2911,
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72,
1507,
2025,
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1727,
2100,
1488,
45502,
14511,
1384,
1358,
20215,
4159,
59336,
1379,
3126,
3292,
1358,
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72,
5,
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1348,
5349,
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59338,
1750,
72,
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59342,
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1379,
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1817,
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59342,
2533,
50377,
2162,
1396,
13361,
2406,
72,
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9910,
2524,
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72,
5,
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2587,
24928,
2100,
58996,
59342,
1348,
1433,
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17233,
1457,
3428,
2100,
31209,
9356,
1371,
1384,
9446,
3126,
1371,
72,
6555,
58996,
10492,
4759,
57712,
59342,
1384,
2271,
2123,
12846,
18454,
1421,
1358,
17233,
59328,
1457,
6603,
72,
3308,
1953,
2406,
16577,
37411,
2517,
59342,
1696,
50377,
2162,
11947,
59361,
59323,
3422,
1476,
72,
6555,
14821,
10492,
24963,
59342,
1384,
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12179,
2100,
14935,
59342,
34505,
1384,
1548,
11347,
72,
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59342,
1358,
20981,
9012,
72,
5,
5,
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6577,
1727,
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1385,
1441,
30115,
58742,
73,
59354,
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2955,
2350,
59342,
1346,
17070,
1510,
2100,
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59338,
1750,
72,
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13789,
2100,
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15435,
59342,
3447,
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2100,
1650,
14255,
72,
5,
5,
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2852,
1889,
59342,
5220,
1385,
17319,
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7035,
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59342,
1696,
1358,
7218,
8607,
5230,
2100,
41882,
1377,
2885,
72,
5,
5,
59354,
59391,
1382,
1476,
31114,
74,
2292,
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1843,
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9910,
73,
6140,
40848,
1410,
2336,
1346,
34371,
1450,
3441,
4858,
72,
2292,
16580,
1859,
56130,
73,
59354,
2063,
6187,
8158,
44941,
1556,
2100,
59342,
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2100,
1385,
19325,
1707,
1377,
1845,
4774,
72,
1496,
7221,
59361,
59328,
2198,
1980,
1449,
35128,
1450,
1348,
11400,
1529,
1685,
1347,
5666,
1449,
73,
59354,
1507,
6380,
1379,
1859,
1694,
59398,
9301,
11243,
1367,
2128,
1358,
24140,
28298,
72,
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1385,
10952,
1385,
1536,
1399,
1444,
2124,
59361,
59328,
20981,
59342,
1696,
1980,
2286,
2271,
21815,
74,
5,
59354,
6168,
1449,
1383,
1579,
7675,
1664,
59342,
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2164,
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2620,
2271,
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72,
5,
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73,
2292,
2629,
1449,
1571,
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3668,
1367,
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3750,
72,
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2271,
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2100,
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2995,
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33291,
1358,
8875,
1952,
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2995,
72,
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2264,
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1358,
1529,
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6625,
4553,
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1377,
1462,
2277,
59342,
2100,
27776,
27401,
1773,
1367,
1377,
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5500,
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1980,
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5128,
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5,
5,
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1859,
13818,
2560,
11400,
63,
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1367,
72,
11255,
1369,
36431,
34475,
72,
59354,
5,
5,
3747,
30925,
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3932,
57363,
3485,
3870,
10400,
1374,
1592,
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2336,
2303,
2054,
21263,
72,
1496,
6168,
2024,
1449,
3255,
1410,
2759,
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3882,
1410,
50377,
2162,
2055,
1664,
74,
1417,
4455,
1828,
1727,
2025,
1628,
2733,
1371,
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3545,
72,
59354,
5,
5,
59354,
29832,
59342,
4450,
72,
2732,
30925,
59342,
1887,
1502,
4648,
59342,
1696,
9028,
1972,
1449,
72,
2292,
8178,
16409,
1358,
27190,
1385,
1807,
1348,
1394,
1482,
72,
2972,
1523,
4586,
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1696,
2271,
1410,
1919,
1753,
72,
59354,
5,
5,
3747,
30925,
59361,
59328,
4807,
1369,
30036,
1467,
2271,
2123,
12846,
18454,
1421,
1358,
43573,
41026,
1409,
72,
1496,
32576,
1523,
2271,
74,
59354,
5,
5,
59354,
20079,
13818,
59342,
54080,
2620,
1544,
43267,
59342,
1859,
10462,
10235,
1384,
4179,
72,
5,
5,
2219,
6141,
24928,
2732,
30925,
1972,
1348,
6054,
17233,
59342,
11231,
2100,
14511,
2822,
1384,
1396,
31475,
72,
3308,
38680,
1385,
31022,
2100,
13212,
1525,
1859,
22143,
5365,
59342,
1696,
1476,
1523,
41051,
1603,
72,
1496,
6577,
5432,
17319,
1664,
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4450,
72,
2732,
30925,
72,
10046,
1796,
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42626,
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1417,
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5,
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14535,
6939,
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2100,
1467,
1796,
1544,
1727,
1348,
5069,
1466,
13607,
1371,
1458,
18121,
33986,
59342,
56176,
1959,
1932,
28475,
59358,
1385,
20790,
1508,
1385,
20335,
72,
2063,
19184,
1367,
2750,
36297,
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3848,
72,
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2732,
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5501,
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21463,
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1348,
10120,
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1694,
53513,
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2100,
7218,
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72,
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53405,
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2991,
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3932,
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13023,
5618,
74,
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5,
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6625,
4553,
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9440,
6612,
72,
3867,
21127,
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12861,
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3766,
3639,
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9930,
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72,
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2100,
7528,
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8637,
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1348,
14203,
5810,
72,
1826,
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1980,
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2162,
4520,
1664,
72,
17485,
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1457,
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5558,
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39943,
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5,
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59335,
74,
3721,
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1358,
1419,
11673,
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3402,
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1432,
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39956,
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46949,
25813,
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72,
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3427,
1467,
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1580,
30144,
2100,
1865,
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2162,
9930,
72,
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5175,
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2732,
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3884,
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3516,
72,
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23865,
1358,
15792,
3427,
14948,
14203,
59342,
4719,
1417,
12102,
12852,
72,
1417,
2003,
33291,
9541,
72,
59354,
5,
59354,
6331,
1449,
1727,
9404,
1385,
15701,
37997,
1851,
1863,
6470,
74,
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5,
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1417,
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43582,
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2732,
30925,
72,
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6897,
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72,
59354,
5,
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59352,
14354,
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1358,
48761,
1571,
1441,
1753,
1703,
1394,
1679,
1910,
1358,
1348,
1394,
1482,
2620,
2271,
21504,
72,
5,
5568,
1878,
6428,
42003,
2100,
59342,
27424,
1434,
41442,
7661,
2100,
7528,
72,
5,
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56222,
1582,
2620,
2271,
2264,
59342,
24555,
1385,
1901,
26974,
72,
3308,
4575,
1712,
59342,
26402,
2100,
17081,
1983,
22015,
72,
6555,
5558,
27164,
4057,
1367,
1458,
1505,
72,
1496,
5856,
2579,
1449,
1675,
1450,
1358,
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74,
59354,
5,
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4453,
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1377,
1358,
12173,
72,
3330,
4079,
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15492,
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1449,
72,
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5,
59354,
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1828,
4079,
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59323,
12043,
1582,
1766,
4199,
59342,
1601,
1828,
74,
59354,
5,
59354,
6460,
72,
1874,
3094,
1776,
1958,
59342,
19445,
72,
1507,
14728,
9404,
2009,
1421,
1531,
72,
59354,
5,
59365,
1423,
2134,
6004,
2100,
1450,
1348,
1369,
25010,
13329,
30355,
72,
33044,
1727,
2843,
3990,
59342,
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10271,
59342,
9393,
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59328,
25443,
59342,
1384,
7177,
12141,
59342,
1645,
1877,
1358,
2258,
1379,
6859,
72,
1384,
22674,
72,
1493,
58625,
59342,
1450,
1766,
21248,
72,
35953,
2134,
2003,
14671,
5501,
2291,
9237,
72,
17485,
1544,
4209,
6357,
1536,
17301,
74,
5,
59354,
4268,
5957,
59361,
59323,
14301,
3019,
1358,
21023,
1379,
1358,
3285,
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1410,
1476,
74,
59354,
2271,
6575,
72,
5,
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11820,
1449,
6830,
3670,
2300,
1508,
8864,
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2732,
30925,
74,
59354,
5,
59354,
59355,
6830,
8864,
72,
3163,
1554,
1571,
59361,
59323,
1776,
1958,
42173,
20719,
59342,
35953,
2134,
72,
59354,
5,
59354,
4221,
1571,
5716,
1385,
2620,
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2264,
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1467,
1828,
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4975,
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2067,
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55625,
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2661,
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1385,
1348,
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2732,
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3330,
11381,
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2415,
3097,
1697,
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3427,
56418,
1618,
1532,
3429,
1421,
4450,
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2162,
72,
2732,
30925,
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13246,
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2661,
1842,
14212,
1457,
1544,
2286,
25819,
2100,
2517,
72,
5,
5,
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2007,
3494,
1961,
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1367,
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4562,
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25249,
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15948,
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1901,
10899,
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4719,
27029,
3265,
3427,
1441,
23740,
72,
11255,
16059,
5230,
3515,
1357,
2413,
1865,
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59375,
1776,
9552,
1523,
1807,
2245,
15480,
13405,
72,
5,
5,
2219,
33565,
1364,
6950,
1379,
1807,
7826,
3428,
1664,
18119,
1385,
5257,
4355,
1525,
1536,
55142,
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2288,
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1919,
4185,
59342,
1919,
1628,
10812,
59651,
21053,
1523,
1863,
8550,
2285,
26874,
72,
20217,
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11519,
5230,
7844,
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1384,
24164,
1523,
1348,
21255,
72,
5,
5,
14423,
11512,
9012,
1377,
1458,
40896,
37099,
59342,
1358,
4279,
1457,
23486,
50366,
1450,
2351,
13964,
6068,
72,
1408,
11147,
7546,
1367,
2524,
1863,
5558,
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1433,
34851,
1863,
3943,
46505,
6103,
72,
1417,
9680,
4462,
1525,
35953,
2134,
59342,
24342,
6705,
1385,
16580,
1859,
1369,
1499,
72,
5,
5,
5858,
1383,
14034,
31798,
59342,
1554,
9906,
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29068,
3493,
1383,
5980,
59342,
4278,
9886,
1450,
1392,
2037,
1379,
20110,
72,
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11712,
18469,
15948,
58176,
59342,
1450,
2121,
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17190,
4017,
27766,
72,
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27766,
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23141,
63,
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7079,
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72,
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1523,
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1467,
1523,
1807,
14280,
72,
2426,
1694,
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4271,
26191,
1355,
6453,
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1348,
7887,
13407,
59342,
3200,
2064,
1379,
11199,
1508,
1369,
2746,
5305,
72,
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2180,
31450,
1376,
23685,
1450,
28613,
27280,
56457,
2139,
1531,
59342,
1696,
1919,
13426,
2379,
1508,
19925,
2681,
9173,
7068,
72,
5,
5,
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4469,
9058,
2620,
2732,
30925,
17336,
59342,
4681,
2271,
11883,
1457,
1396,
1551,
5258,
1432,
1358,
2197,
1400,
59339,
1376,
23685,
1952,
1573,
47497,
2100,
41553,
72,
6555,
2760,
2003,
1843,
29649,
1959,
3021,
2100,
17319,
1525,
50377,
2162,
59361,
59328,
28298,
72,
3067,
26871,
59328,
2003,
1544,
16999,
74,
5,
59354,
6577,
2147,
1580,
7615,
1664,
1385,
2661,
1449,
1385,
1348,
5429,
10934,
2620,
35953,
2134,
9173,
59342,
35215,
6787,
2100,
72,
3308,
1901,
59326,
9910,
59342,
13085,
6254,
2131,
2054,
72,
5,
59354,
3747,
30925,
59342,
2024,
59361,
59328,
6224,
74,
9617,
1675,
1449,
44613,
4462,
1525,
1863,
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74,
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1544,
72,
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72,
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1449,
74,
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1544,
72,
72,
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7035,
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74,
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10462,
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1367,
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72,
5,
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1346,
2069,
37099,
4566,
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1467,
1828,
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1875,
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1796,
10882,
58297,
72,
2732,
30925,
1523,
38059,
1379,
2100,
21136,
59342,
51648,
2478,
2100,
5324,
1379,
35953,
2134,
59342,
3114,
8178,
18454,
72,
5,
59354,
6460,
59342,
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2134,
72,
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5175,
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72,
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72,
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72,
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3308,
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1952,
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1753,
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59342,
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2100,
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72,
5,
2219,
10370,
59361,
59328,
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2406,
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4462,
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72,
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30925,
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44113,
59342,
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2303,
1377,
35953,
2134,
59361,
59328,
6325,
72,
5884,
4965,
41026,
1641,
2003,
1570,
4021,
1367,
1457,
7822,
72,
5,
59365,
1423,
2134,
2003,
1843,
32083,
4564,
1358,
13197,
1645,
3588,
72,
5,
2219,
43912,
1533,
1523,
13957,
1694,
5531,
2285,
59342,
1696,
2732,
30925,
18463,
1525,
1577,
1382,
46781,
5738,
22607,
72,
3308,
22933,
3142,
1367,
35953,
2134,
59361,
59328,
15441,
1385,
12293,
2100,
59342,
10453,
15819,
1859,
15829,
1385,
1675,
1733,
72,
3308,
2303,
1919,
3103,
1377,
1859,
15471,
59342,
51648,
3882,
1544,
2003,
49413,
4746,
2243,
1385,
14440,
2100,
1529,
1685,
1347,
22877,
72,
26668,
2100,
7541,
1843,
1529,
1685,
1347,
1384,
53583,
74,
1826,
1523,
3259,
59342,
3041,
2100,
2701,
49333,
1659,
3639,
35953,
2134,
59361,
59328,
35121,
72,
3163,
3882,
2003,
1544,
49413,
1733,
2288,
1385,
4954,
1536,
13197,
74,
5,
5,
2219,
20857,
9906,
11803,
59361,
59328,
1570,
3888,
20545,
1348,
1421,
9328,
1550,
2055,
1932,
29669,
59342,
1385,
2732,
30925,
59361,
59328,
17835,
72,
3308,
1384,
35953,
2134,
2003,
1843,
1377,
2351,
1875,
59361,
59328,
5786,
3178,
1421,
5507,
59342,
1384,
2271,
1856,
6897,
1421,
1895,
4756,
3597,
72,
1507,
4781,
41325,
2003,
25172,
1385,
3671,
1433,
1436,
3493,
72,
5,
5,
59354,
14423,
14280,
74,
59354,
2732,
30925,
1377,
1462,
2277,
1467,
1828,
3428,
1358,
20119,
34772,
1383,
5980,
72,
35953,
2134,
2003,
58946,
1348,
2368,
59342,
1696,
12102,
24140,
3639,
1828,
1727,
56742,
5666,
59342,
1450,
1358,
11199,
48659,
12779,
72,
5,
5,
59354,
59355,
2701,
1348,
8927,
2620,
35953,
2134,
7446,
72,
2732,
30925,
3114,
1707,
1348,
4807,
59339,
20879,
72,
5,
5,
59354,
59353,
8927,
74,
6183,
1457,
59361,
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3375,
1417,
59361,
59332,
3531,
1385,
2198,
73,
59354,
5,
5,
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21999,
1358,
17461,
74,
59354,
35953,
2134,
6575,
72,
5,
5,
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59355,
5809,
3946,
48887,
1449,
1467,
1348,
37764,
59342,
1457,
59361,
59328,
1645,
2620,
2732,
30925,
12876,
72,
5,
5,
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32364,
59342,
1417,
2424,
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20373,
9809,
1476,
8838,
72,
1417,
1580,
1348,
6880,
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50961,
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1358,
2676,
63,
2016,
63,
2209,
7811,
72,
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4954,
1358,
28639,
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2134,
11848,
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72,
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5,
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29832,
59342,
1458,
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2199,
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37690,
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2110,
74,
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30925,
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72,
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5,
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72,
1826,
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22394,
2620,
35953,
2134,
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10076,
72,
5,
5,
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2100,
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2100,
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1371,
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72,
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58199,
31798,
59342,
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1434,
58219,
72,
6555,
1577,
1382,
46781,
4910,
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11722,
1379,
1628,
1959,
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13290,
1414,
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1510,
2100,
72,
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1745,
11883,
1766,
2132,
1456,
12811,
72,
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1952,
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2287,
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1450,
13290,
59342,
1384,
10518,
72,
72,
72,
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1523,
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1379,
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72,
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63,
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1952,
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6483,
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74,
5,
5,
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1358,
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1561,
1379,
1348,
3378,
1675,
3846,
1882,
35953,
2134,
28457,
2002,
1358,
4692,
1384,
6359,
1358,
2587,
2211,
1710,
72,
5,
5,
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4221,
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1412,
15247,
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1544,
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1434,
72,
5,
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1749,
1492,
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1358,
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1939,
1571,
2187,
31798,
59342,
45272,
1371,
26422,
1434,
1384,
24555,
1385,
46545,
9560,
1358,
1715,
1547,
1465,
59361,
18526,
59328,
72,
2732,
30925,
35059,
1976,
8840,
1745,
59342,
10597,
1348,
1369,
1657,
1379,
2288,
1371,
1421,
2100,
5645,
6595,
59342,
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2682,
1904,
59342,
1872,
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8241,
46808,
2100,
2167,
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72,
5583,
1384,
50961,
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1385,
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1358,
37569,
59342,
1467,
5092,
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3388,
72,
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30925,
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3097,
1367,
1348,
16415,
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12271,
7528,
35215,
6787,
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73,
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50961,
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54096,
1371,
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2134,
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1457,
19710,
1379,
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51877,
59342,
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5177,
1457,
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2327,
1377,
2732,
30925,
1348,
1369,
1657,
1379,
12131,
59339,
1421,
35953,
2134,
59342,
1872,
2003,
31049,
3263,
3249,
44447,
1525,
1859,
7541,
72,
5583,
53682,
4623,
1520,
1358,
8487,
59342,
42526,
1347,
4553,
2732,
30925,
72,
5,
5,
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6331,
1872,
1410,
1536,
15797,
4539,
24118,
74,
59354,
50961,
6575,
59342,
28187,
35953,
2134,
59342,
1872,
9184,
16706,
2295,
1569,
4623,
72,
5,
5,
59354,
4268,
1410,
53405,
59342,
1863,
8713,
2620,
35953,
2134,
43267,
59342,
46498,
1458,
11672,
2914,
2732,
30925,
72,
21777,
2271,
10492,
1972,
1458,
3031,
1432,
5177,
59342,
2271,
12102,
2911,
1385,
29048,
35953,
2134,
36670,
1482,
72,
5,
5,
19289,
2718,
13793,
2110,
13153,
7130,
35953,
2134,
59342,
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45198,
23946,
1467,
1828,
11160,
1525,
2995,
1385,
2732,
30925,
72,
3308,
11381,
59361,
59323,
2111,
1696,
20825,
1510,
1766,
11079,
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1492,
13296,
1659,
72,
5,
5,
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59355,
59361,
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53405,
2620,
2271,
8651,
18454,
72,
5,
5,
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59355,
59361,
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44135,
2620,
1358,
11118,
18711,
72,
5,
5,
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6331,
1417,
59361,
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1790,
8423,
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1358,
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5695,
4400,
59342,
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1508,
11341,
2243,
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72,
5,
5,
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20093,
1707,
59342,
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2100,
14565,
13818,
59342,
1872,
2003,
5983,
1402,
1434,
12940,
2100,
5558,
3292,
35953,
2134,
59361,
59328,
3670,
72,
5,
5,
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1446,
59361,
59328,
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10293,
2620,
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72,
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5,
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73,
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73,
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73,
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24291,
1367,
72,
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5,
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2190,
2336,
73,
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42872,
1367,
59342,
2100,
10462,
1433,
3097,
72,
1507,
3322,
13872,
24140,
59342,
1467,
1796,
1348,
8577,
2003,
1843,
2295,
8109,
72,
3308,
9680,
1385,
35953,
2134,
1384,
2732,
30925,
59342,
2100,
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1951,
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9024,
20825,
72,
5,
5,
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12941,
9457,
59342,
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2424,
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1580,
15020,
74,
16032,
59342,
4128,
2087,
2054,
2914,
72,
59354,
3308,
4400,
59342,
1450,
1348,
20825,
59342,
1496,
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3094,
3255,
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1417,
59361,
59335,
19456,
1449,
5175,
59361,
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1531,
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16032,
72,
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5051,
3162,
1525,
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72,
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5,
5,
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1423,
2134,
5809,
43267,
59342,
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2288,
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72,
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5,
5,
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1371,
2054,
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36821,
72,
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10520,
59361,
59328,
12860,
1379,
4664,
3126,
11072,
72,
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5,
5,
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1972,
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35380,
1951,
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26052,
11519,
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2560,
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2134,
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26492,
2994,
6800,
72,
28937,
10882,
1358,
3331,
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1510,
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1371,
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50377,
2162,
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74,
5,
5,
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45214,
1668,
1371,
1712,
59342,
1828,
8604,
1358,
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2994,
1421,
15020,
72,
1507,
14433,
1433,
1505,
1523,
48317,
27102,
59342,
6603,
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18174,
1484,
49168,
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31434,
1384,
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1578,
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4708,
4186,
1385,
5282,
1348,
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25613,
72,
5,
5,
9139,
63,
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7176,
59342,
35953,
2134,
8604,
1358,
3322,
1432,
1358,
8093,
59342,
22956,
1377,
1348,
3299,
1379,
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16649,
2751,
1384,
1399,
2289,
1465,
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72,
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23740,
2995,
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1432,
2100,
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72,
3308,
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3660,
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7226,
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1796,
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11154,
43722,
1887,
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22935,
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3322,
72,
3308,
35145,
1859,
44447,
1450,
39716,
59342,
10597,
1358,
12446,
59342,
1694,
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1977,
1351,
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] |
<s> "Roused by a voice that seemed eerily familiar, Dana emerged from her unconscious state, yet her eyelids felt glued shut, defying her efforts to open them. She sank back into the darkness, a realm populated by sinister black flora and lavender vegetation, under a starless, obsidian sky. Her desperation to escape was palpable, but escape to where, she couldn't fathom.
His convulsive sobs were evident in the trembling of his shoulders, which she could now perceive. Attempts at speech were thwarted by an obstruction in her throat - a tube, she realized, that was choking her. Her mental screams echoed unheard.
She descended once more into the abyss of unconsciousness. Time's passage was inscrutable, marked only by the sterile whiteness of her surroundings - stark walls, ceiling, and a harsh fluorescent light that seared her eyes. Mulder's absence was conspicuous. She briefly closed her eyes, unsure if it was the light's pain or his absence that caused her distress.
Footsteps approached, but her head remained immobile, preventing her from identifying the source. Another attempt at speech revealed the tube's presence once more. A wave of nausea surged as she gagged, trying to dislodge it.
'Calm down, Dana. That's it. We'll have that tube out in no time. Just relax, everything will be alright,' a soothing, female voice assured her, instilling trust. An arm stretched across her, and with a forceful exhale, the tube was removed, slithering out like a long, serpentine creature.
How had they managed to insert a breathing tube without her awareness? It was then that she became cognizant of the silence. Previously, there had been a persistent hum, akin to a rhythmic pulsation. Now, there was only the sound of her own respiration, and that of the woman beside her.
"Ah, Dana, it seems you've rejoined us," the woman said. "I'm Dr. Hartley," she introduced herself as Agent Scully attempted to rise. "Please, Miss Scully, remain lying down. You're not yet fit to move. I'll have someone fetch you some food. I'm sure you must be famished," she smiled, before leaving the room.
"What transpired?" Scully rasped, her throat feeling like it was filled with coarse sand.
"You've been in a coma, Dana, for nearly nine weeks. Following your assault, you sustained a head injury and lost consciousness before arrival. Reviving you proved impossible. Dr. Haroldson believed recovery unlikely, but you've defied his prognosis."
Haroldson. The name echoed familiarity, yet its source eluded her.
"At least, your legs have healed since your coma. We removed the cast last week. Bedrest has likely been beneficial for your legs, if not your overall recovery. Now, I'll see about getting you some breakfast," Dr. Hartley said, her footsteps fading as she exited.
Breakfast. So, it was morning. Left to her thoughts, Scully pondered: Who had assaulted her? And why was there mention of her legs? They felt fine, or so she thought.
She could barely feel anything, save for occasional pins and needles, which gradually subsided. She could move her feet, the bedclothes rustling as they tangled around them. If only she could sit up.
Upon detecting approaching footsteps, she swiveled her head in a manner reminiscent of a marionette controlled by unseen forces. Dr. Hartley was advancing, pushing a trolley laden with sustenance, her visage looming as she neared.
"Now, Dana," she began, "we must get you upright. You've been supine for quite some time, and you may feel lightheaded and nauseous initially, but rest assured, this is a common occurrence. Simply take it at your own pace."
Dr. Hartley leaned over her and, supporting her around the waist, assisted her into a sitting position. Initially, Scully felt fine, but as she moved her head, a wave of nausea overtook her. She retched repeatedly, though nothing was expelled; there was only a bitter taste lingering in her mouth.
"Shall we commence with the toast?" Dr. Hartley suggested, gesturing towards the brown slices on the tray. Though unappealing in appearance, Scully found it surprisingly palatable upon taking a bite.
"Has Agent Mulder been here today?" Scully inquired. "I thought I perceived him."
"No, he hasn't visited in two weeks. You thought you saw him, you say?"
"Well, it was more an auditory impression than a visual one. He seemed to be urging me to awaken."
A sense of foreboding stirred in the recesses of her mind, accompanied by a thought: she was in peril. But from whom, or what, she could not discern.
"Do you believe you might be able to manage some lunch today?" Dr. Hartley asked. "I'll need to inform the kitchen staff."
"Yes," Scully replied, having consumed the toast. She had evidently been hungrier than she had realized.
"Very well, I'll check in on you later," Dr. Hartley said as she departed. Briefly, Scully pondered the nature of this institution where the medical staff seemed so preoccupied with her dining arrangements. The doctor had mentioned her legs, yet she had not examined them.
In the room, an unusual quality was evident, initially eluding Scully's notice. The chamber was vast, akin to an ice-caverned hall, yet contained only her bed. This, however, was not the peculiar aspect. The room was exceptionally bright, an attribute accentuated by the absence of windows. Given the room's size, at least one window would be expected. Scully scanned her surroundings, finding everything pristine white: the floor, walls, ceiling, and what she assumed was a door. Yet, no doorknob or hinge marred the seamless expanse of white.
Scully pondered how the doctor had entered if there was no door. As if on cue, a door-shaped aperture materialized in the wall, revealing Mulder and Dr. Hartley. "You know the drill," Dr. Hartley said, "Just knock when you want to leave." This arrangement felt more like a prison than a hospital, fueling Scully's curiosity about her confinement.
"I think you should leave the door open today," Mulder suggested. "She needs some fresh air."
"That's against hospital policy," Dr. Hartley countered.
"Would you like me to inform Dr. Haroldson that she's awake and you haven't reported it yet?" Mulder threatened.
Dr. Hartley relented, "Okay, but just this once. And if anyone asks, I know nothing about it." Her heels clicked on the floor as she left, leaving Scully with a sense of betrayal, having once considered her a friend.
Mulder hurried to Scully's bedside, embracing her. "Scully! Thank God you're all right! How are you feeling?" Despite feeling safe in his arms, she chose not to voice this sentiment.
"I'm still feeling somewhat dazed, as if I'm in a dream. Everything seems surreal. Are you truly here with me?"
"Indeed, I am present, and I shall remain by your side," he responded, pausing to gaze at her, his eyes glistening with unshed tears. "You must leave this place, Scully. There's imminent danger."
"I'm aware of it," she acknowledged, though the threat remained abstract, undefined. Keeping it that way made it feel less tangible, less real. Yet, the gravity of the situation was reflected in the concern etched on Mulder's face.
"What's in the bag you're carrying?" Scully inquired, noticing the sports bag he held.
"A gift for you," he explained, reaching into the bag to reveal an ivory lace dress, a pair of cream shoes, and a cream wide-brimmed hat. "Put these on, and we can make our escape. No one will suspect that the woman who's been unconscious for nine weeks is the same as this elegantly dressed young lady."
Scully looked at him, confusion etched on her face. Then, comprehension dawned. They were fleeing. It was impractical to attempt an escape dressed in a hospital gown. Mulder turned away to afford her privacy as she dressed. The expansive room provided sufficient distance from the door, ensuring no prying eyes.
Scully slipped the dress over her head while seated on the edge of the bed. Her feet barely touched the floor, and the room's vastness made it disorienting, with the floor and walls blending into one. She tentatively slid off the bed, gripping it for support. The room spun around her, and she couldn't let go to fasten the dress's buttons.
"Mulder, could you assist me with the buttons, please?" she asked, her voice steady despite her disorientation.
He executed the task with such swiftness and finesse that Scully mused he could have excelled as a ladies' maid in a bygone era. Briefly, she pondered how he had accurately gauged her size, as even the footwear fit impeccably. Feeling unsteady, she hesitated to release her grip on the bed.
"Might you assist me in walking?" she asked, embarrassed by her dependence.
"First, the hat," he replied, gently placing it upon her head with the reverence one might bestow upon a royal crown.
Reluctantly, she let go of the bed, her balance precarious. Mulder, however, was instantly by her side, offering his arm for support. They exited the room, traversing corridors that mirrored the one they had just left, all pristine and white. Mulder navigated them with confidence, drawing no notice from the white-coated figures they passed. Each time one of these figures came into view, Scully instinctively leaned closer to Mulder, her anxiety about Dr. Hartley discovering them and returning her to that locked room growing.
Upon emerging, they found themselves in a normal-looking environment, with expansive grounds surrounding the hospital. Dappled sunlight danced through the trees, illuminating a small path leading to a miniature lake, adorned with a non-functioning fountain at its center. Patients, oblivious to their surroundings, were wheeled in wheelchairs or steadied by staff, much like Mulder was supporting Scully. A common blankness in their expressions suggested drug-induced states. Her suspicions were confirmed when they passed an ornate sign bearing the gothic inscription 'Roseberry Hill,' a mental institution she recognized, leaving her to wonder why she was there.
Puzzled, she inquired aloud. Mulder, seemingly attuned to her thoughts, responded:
'Due to its isolation, it's the ideal location to detain you without eliciting complaints. It's not like it's a conventional prison.'
Scully gazed at him, her expression skeptical. The locked doors and absence of windows suggested otherwise, she thought.
They turned away from the sign and headed towards the car park. Scully's gaze scanned the area, but Mulder's car was nowhere to be seen.
'Where's your vehicle?' she asked.
'I've acquired a new one,' he revealed, gesturing towards a red hatchback. 'One that remains unknown to them.'
Scully chose not to press further about 'them'. She leant against the car for support as Mulder opened the doors, her exhaustion becoming apparent.
Her breath grew shallow, and she felt lightheaded. Was she about to faint right there in the car park? Mulder opened the passenger door, and she sank gratefully into the seat. As he began to drive, he turned towards her, his voice filled with concern.
'You don't look well,' he observed.
Scully glanced in the rearview mirror and attempted a smile.
'I must look like I'm ready for a wedding!' she joked.
'You are,' he replied, his expression serious. 'Ours.'
'You can't be serious!' she protested.
'I am,' he insisted.
She stared at him, this man who desired her as his wife. She acknowledged her fondness for him, her desire to be with him, but was it love? Was it love when he looked at her and her knees went weak, or was there something more, something she was yet to understand? She looked at his hands on the steering wheel, remembering them tenderly fastening the buttons on her dress.
A sudden recollection surfaced of other individuals restraining her, causing her limbs to shatter. Mulder, once again, had been her rescuer. Did she not possess an obligation towards him, yet was it matrimony? Was that not the norm for allies? They safeguarded one another, did they not?
"Scully, do you have confidence in me?" Mulder inquired.
"Pardon?" she responded, her thoughts racing.
"By becoming your husband, I could ensure your safety," he proposed.
"How so?" she questioned, though she suspected the answer.
"That's where you'll need to trust me," he replied, gazing through the windshield. Scully felt like a castaway, grasping for stability. What could she rely upon?
The proposition was abrupt and unforeseen, or so she thought. A hidden part of her had yearned for this. Married to Mulder! Her irrational side was elated, while her rational mind argued within her consciousness.
Are you insane, Dana? You genuinely believe that being married to him would make you safer? And from what? There's no threat. It's all in your imagination.
Yet, she felt a danger, as tangible as the sun on her skin. She couldn't identify its source, but the sensation was undeniable. Who could she trust? Mulder? How could she be certain? Would she know in a year, or twenty? Could one truly know another person? It was a matter of faith. Currently, her faith rested solely in Mulder.
He was the one who had extracted her from that horrendous institution.
"Mulder, why was I in a mental hospital if I was supposedly in a coma? It seems an odd placement," she pondered.
"You weren't in a coma. They kept you sedated. Did you think you'd be able to leave your bed so swiftly if you had been in a coma? You're a physician, Scully, consider it."
She felt no great concern about her sedation, but the awareness that it had been intentionally induced unsettled her. "Could you explain why I was sedated?" she asked, meeting his gaze. His silence confirmed her suspicion that he knew more than he was revealing. Trust, she decided, was her only recourse.
She pondered her trust in him, feeling an impending threat, yet knowing Mulder was not the source. Instead, she sensed his fear and pain, their origin unclear. "Listen," he began, "I understand this is overwhelming. Our marriage needn't be... intimate. But to safeguard you, I must become your husband."
Scully searched his eyes, finding a stark truth she couldn't comprehend. "How can you protect me," she challenged, "when you're battling your own mortality?" She hadn't noticed their arrival at the City Hall's parking lot, so engrossed was she in Mulder's revelation.
"Leukaemia," he admitted, "but I've been in remission for a decade. I'm otherwise healthy. I could be struck by a bus tomorrow." He regretted his secrecy, acknowledging it was a burden to keep from a prospective spouse. "If you refuse, I'll call off the wedding."
Scully realized their shared diagnosis, cancer. How could she refuse a dying man, especially one she loved? "Yes," she agreed, "I'll marry you." His hopeful smile sealed their fate.
Ascending the staircase to the office, they climbed side by side, Mulder's sole concession to passersby. At the door, he paused, turning to Scully.
"For this to be convincing, it must seem genuine. We're marrying because we're in love, not for any other reason. Understood?" he queried.
Scully nodded affirmatively, her true feelings concealed. For her, it was indeed love that drove her to the altar.
Thus, their nuptials took place in an uninspiring office, witnessed by two strangers. It was far from the traditional wedding she had envisioned, complete with a white dress and bridesmaids, where she could feel like a princess.
Post the registrar's pronouncement, she felt no different. The marriage, to her, seemed more akin to a dental appointment than a life-altering event.
Mulder, however, was beaming as they departed.
"How does it feel to be Mrs. Mulder?" he asked.
"Strange. I don't feel married," she replied.
"Well, we are," he insisted, tapping his jacket pocket where their marriage certificate resided. "Now, we must hurry; we don't want to miss our flight."
"Flight? What flight? Where are we going?" Scully asked, bewildered.
"Where do newlyweds typically go?" Mulder responded, a hint of mischief in his eyes.
"Honeymoon? We're going on our honeymoon?" Scully could scarcely believe it. This was all too surreal.
"Lead the way, Mulder. I'm right behind you," she said, still in shock.
"Call me Fox now, Scully. I'm your husband," Mulder said, his voice soft.
Those words held more weight for Scully than any grand wedding ceremony. Yet, she knew in her heart that he would always be Mulder to her.
"Yes, Fox," she replied, her voice barely above a whisper, a lump forming in her throat.
Scully, a first-time air traveler, found herself amidst an unprecedented crowd at the airport. She felt nearly imperceptible, given the frequency with which she was jostled by passersby, and clung tightly to Mulder's arm, unwilling to let him out of her sight. Despite her surprise at Mulder's preparation, including purchasing new clothes for her and checking in two suitcases, she was taken aback when she realized she had forgotten her passport. However, Mulder produced two passports, one of which bore her new name, a detail she had overlooked. As they approached the desk, the weary-looking stewardess, clad in a navy blue suit adorned with red diamonds, beckoned them forward. After verifying their tickets and passports, she inquired about their luggage and offered Mulder the choice of a window seat, which he graciously accepted on Scully's behalf. The stewardess then warmly welcomed them, wishing them a pleasant honeymoon, and directed them to their seats in row 8. Before boarding, Mulder suggested they have a meal, noting they had about an hour to spare.
Declining the offer, anxiety about the impending nuptials was not Scully's primary concern. Instead, she fretted about the potential reactions of those around her upon their return, as she had always been cautious and conventional. Never one to act impulsively, she worried about the potential disapproval of her mother. Additionally, Scully was uneasy about the upcoming flight, a sentiment Mulder had previously acknowledged. As they awaited their departure, Mulder noticed their flight's readiness on one of the overhead monitors and gently guided Scully along.
Scully's anxiety escalated, causing her to break into a cold sweat. The thought of ascending in the plane, with only vast emptiness separating them from the ground, was unbearable. She confessed her fear of heights to Mulder, revealing that this phobia was a recent development. Overwhelmed, she began to cry, insisting that she could not board the plane.
Mulder responded compassionately, reassuring her that they were under no obligation to proceed. He acknowledged her fear and offered an alternative plan. Scully, however, was conflicted. She understood the statistical safety of air travel but found herself unable to overcome her fear. An elderly woman nearby overheard their conversation and approached them, offering words of encouragement.
The woman shared her own experience with a fear of flying, explaining that she had overcome her anxiety by taking a trip to visit her son and first grandchild in Australia. She reassured Scully that air travel was statistically the safest mode of transportation, with car crashes posing a greater risk. The woman's words resonated with Scully, who found herself considering the possibility of overcoming her fear.
Indeed, I was, but when one truly desires something, fear must be overcome. Some people, ironically, are so terrified of death that they shy away from life itself. That's a tragedy, isn't it? I'm ninety years old. I could meet my end in a plane crash or in my sleep. But I haven't ceased sleeping, and I refuse to stop flying. I walked away, my posture upright, barely a wobble. It was hard to believe I was ninety.
Scully glanced at Mulder. She wanted to see him happy. They were both mortal, after all. What did they have to lose?
'I've made my decision,' she said, 'I want to live. Let's board that plane.'
It wasn't as daunting as she had anticipated. The worst part was takeoff. She gripped the armrest, unaware that Mulder's hand was already there. She clung to it as a drowning person might grasp a lifebuoy. The meal was surprisingly delightful, and Scully found herself unexpectedly hungry. When the duty-free trolley came around, Mulder purchased her a teddy bear dressed in a little leather jacket and aviator goggles. She cuddled it for the remainder of the flight, wishing it were Mulder she was holding.
As they began their descent, Scully peered out the window. Everything below seemed so small, so inconsequential from that height.
'Ladies and gentlemen, welcome to Majorca,' the captain announced. Scully hadn't initially considered Majorca a typical honeymoon destination, but it hardly mattered as long as she was with Mulder. That was what truly mattered.
After collecting their luggage, they passed through passport control and entered the foyer. Mulder was searching for their representative, dressed in yellow and blue. He spotted one waving and approached.
'Mr. and Mrs. Mulder? Ah, yes, here we are. Your taxi's outside. Have a nice time! I wish it were me,' the girl said, turning to the next couple.
Scully queried, 'Why have we been allocated a taxi? Everyone else seems to be boarding a coach. Are we headed to a different hotel?'" Mulder, with a smile, replied ambiguously as he carried their luggage outside. The first sensation Scully encountered was the intense heat, for which she was grateful to be wearing her cream dress. A man, dressed in a black suit and chauffeur's cap, stood beside a gleaming white limousine.
Scully pondered if there was a celebrity present at the airport, as the man approached them. Pedro, the chauffeur, opened the door, and they entered the vehicle. Scully was momentarily stunned to realize that the limousine was not for a celebrity, but for them.
Mulder asked, "Was that a pleasant surprise?" absently patting her hand. Scully wondered if he was aware of his paternal gesture. She responded, "It's wonderful," appreciating the tinted windows that allowed them to see out while maintaining privacy.
"I feel like a movie star!" she exclaimed, laughing. Mulder replied, "But far more beautiful," gracing her with one of his rare smiles. As the car slowly moved towards the harbour, filled with bobbing yachts, they turned a corner, and there it was - a dazzling white sight that caught Scully's eye despite the tinted windows.
"A cruise? We're going on a cruise?" Scully sat up, gazing out the window, eager to commit this moment to memory. Mulder confirmed, "Indeed, we are." Scully then voiced her concern, "What if I get seasick?" Mulder reassured her, "You'll be too exhilarated to feel unwell. Besides, I thought the Scully clan was born at sea?
Scully, despite her reservations, found it challenging to refute Mulder's assertions, as her enthusiasm often led to feelings of nausea. She hoped this occasion would be different. Pedro assisted them with their luggage, despite a porter being available. As they boarded, Scully noticed the ship's name, "Island Breeze," and felt a surge of excitement, as she had long dreamed of taking a cruise. She was taken aback by Mulder's knowledge of her desire.
"Greetings, I'm the head waiter. Would you prefer an early or late dinner seating? Early is at seven, late at nine," the maitre d' inquired.
"Early, if that suits you, Scully?" Mulder asked.
"That's fine," Scully replied, awestruck by the ship's opulence. The gleaming glass and brass, and pristine carpets, reminded her of a thousand jewels.
"Ah, here's the purser now," the maitre d' said, greeting the next passengers. The purser collected their passports and embarkation forms, then summoned a steward.
"This is Alex, he'll be your steward throughout the cruise. For any issues, speak to him first. He'll ensure you're well taken care of," the purser explained. Alex led them to their cabin, followed by a porter with their luggage.
The cabin was compact but tastefully decorated, with a small porthole that Scully appreciated. She hoped the fresh air would help alleviate any seasickness. Once Alex left, they began to unpack.
Scully was amazed that Mulder knew her sizes and preferences, even down to the toiletries. However, she couldn't fathom how he knew about the shorts, as she had never worn them before, not even in her childhood.
"Will everyone be dressed casually?" she inquired.
"Indeed, except for the evening meal. Formal attire is expected then. But fear not, I've packed an abundance of gowns," Mulder responded before retiring to the bathroom. Taking the opportunity, Scully donned a pair of navy-blue shorts and a loose-fitting white tee-shirt. Her pale legs, unaccustomed to sunlight, resembled two unexposed milk bottles. Fortunately, Mulder had remembered the sunscreen, as Scully's complexion was prone to burning rather than tanning, save for her face, which would erupt in freckles at the slightest sun exposure.
Upon exiting the bathroom, Mulder appeared wan and weary. "I believe I'll take a nap now. Why don't you venture out and explore the vessel?" he suggested.
"I don't wish to leave you alone if you're unwell," Scully expressed her concern.
"I assure you, I'm fine. I'd simply prefer to rest alone," Mulder insisted.
"Very well," Scully conceded, sensing a potential first disagreement in their new marriage. She decided to explore the ship, as she was evidently not welcome to stay.
Mulder mentioned a library before collapsing onto the bed, still wearing his shoes. Scully left him to rest, unwilling to remain where she was unwanted. As the ship set sail, she gripped a nearby handrail for support, hoping to eventually adapt to life at sea. The motion reminded her of her father, who had taken her sailing many years ago. She ascended to the deck, watching as passengers bid their farewells to loved ones. Scully scanned the crowd, searching for a distraction, questioning if she had expected anyone to see them off, given their mysterious destination.
As streamers were thrown at the departing ship, Scully turned away, feeling inexplicably emotional.
She leisurely traversed the deck, her tresses dancing with the breeze and her feet balanced on the undulating waves. Gazing over the railing, she beheld the Mediterranean, its waters shimmering in a captivating blend of azure, emerald, and gold under the sun's caress. She meandered towards the alfresco cafe and requested an orange juice. The attentive waiter presented her with a glass adorned with a long straw and a miniature parasol. Grateful, she wished aloud that Mulder would share his burden.
Now wed, she pondered why he persisted in concealing secrets. If he was ailing again, she desired to know, unwilling to endure his silent suffering. Yet, she reflected, she too harbored aspects of her life private from him.
"Mind if I join you?" a voice inquired. Scully looked up, shielding her eyes from the sun's glare. A woman stood before her, clad entirely in white - shorts, top, and a jumper carelessly draped over her shoulders, its sleeves knotted loosely at her chest. Her long blonde hair was held back by a pair of stylish sunglasses. For a fleeting moment, Scully feared it was Suzanne, Mulder's recent former partner.
"Please do," Scully relented, despite her unaccommodating mood. She found it challenging to decline politely, thus rarely did.
"I'm Lucy," the woman introduced herself, extending a well-manicured hand. Her nails were painted a subtle pink, barely discernible. She wore no rings, marital or otherwise.
"I find solo travel rather tedious, don't you?" Lucy remarked.
"I'm here with my husband," Scully disclosed, then whispered, "We're on our honeymoon."
"Oh? Where is he now?" Lucy asked with a smile.
"He's resting," Scully replied.
"You've already exhausted him!" Lucy laughed, prompting Scully to rise from her seat, her blush creeping from her toes up to her hairline.
"Pardon me, but I'm not inclined to befriend someone who mocks an acquaintance. Yet, here we are," Lucy asserted, revealing a neck scar to Scully, who was both captivated and horrified. "We share a bond, you see."
Scully disputed this, but Lucy insisted, "Why deny it? I was there too. I witnessed it."
Lucy's resemblance to Scully's past nemesis, Suzanne, did not help matters. Scully struggled to reconcile this newfound connection with her lingering animosity towards Suzanne, and by extension, Mulder's past affection for her.
"It's as natural as breathing to me," Lucy said, as if Scully should simply accept this revelation. Suddenly, Lucy's gaze shifted past Scully, towards an approaching figure.
Scully turned to find Mulder, dressed casually in blue shorts and a navy t-shirt, looking her way. Her heart fluttered, but she quickly realized his smile was not for her, but for Lucy. Lucy embraced him warmly, leaving Scully with a constricting sensation in her chest.
"Why are you here, Lucy?" Mulder asked, clearly surprised by her presence. "Following me, naturally," Lucy replied, as if it were the most obvious thing in the world.
"Ah, Scully. Pardon my lack of decorum, allow me to introduce my cousin, Lucy. Lucy, this is Dana, my wife." Mulder's smile was disarming, causing Scully's knees to weaken and her pulse to quicken. Lucy, his cousin, she reminded herself, dismissing earlier misconceptions. Indeed, they could be friends, they would be friends.
"I regret missing your wedding," Lucy lamented.
"I understand, but circumstances were such that a delay was impossible," Mulder explained.
"Yes, Mother apprised me of the situation. But at least you secured Dana's hand in marriage, that's what truly matters," Lucy responded, checking her timepiece. "I'm expected elsewhere for lunch. I'll leave you two to yourselves." With a slight wobble, Lucy exited, leaving them on the deck.
Scully hoped Mulder hadn't noticed her flush. If only Lucy knew the truth! They were far from the affectionate pair Lucy perceived. Mulder's feelings remained enigmatic; he'd only expressed liking and a desire to protect her.
There was that instance when he'd attempted a kiss, but a bee's intrusion had thwarted the moment. He'd attributed it to a fleeting impulse and vowed it wouldn't recur. Yet, Scully wished otherwise; she'd been unprepared then, but now she yearned for more. How, though, did one seduce one's own spouse?
"Would you care to join me on a trip to Pompeii tomorrow?" he asked, drawing her back to the present.
"Indeed, I'd be delighted," she responded. Though they maintained a polite, almost formal demeanor, their shared history seemed to defy such detachment. She suspected Mulder harbored more information about their sudden flight, perhaps deeming her unready for the truth, or the truth being too harsh to bear. The latter notion offered some solace, implying his consideration for her emotional well-being.
Love's definition eluded her, yet whatever this was, it held significance.
Sleep evaded Scully, possibly due to her indulgent dinner and subsequent midnight snack, an unprecedented culinary excess. The boat's persistent rocking also contributed to her restlessness. Yet, another factor lay snoring on the floor - a new facet of their traveling companion she hadn't previously noted. His insistence on floor-sleeping raised questions about his self-control, or perhaps his desire for distance.
She yearned for his presence, his arms around her, assuring her that all was well, even if it weren't.
The porthole's sunlight roused her. Had she indeed dozed off? A deeper, gravelly whistling echoed from the cramped shower room. The bathroom door opened, and she clutched the bedclothes protectively.
A figure stood in the doorway, clad only in boxers. Scully found herself at a loss, unsure where to direct her gaze. "What's wrong? Haven't you seen a man before?" the figure asked, its voice familiar yet altered. It was Mulder, yet not quite. Words failed her as she wondered if a scream would summon aid. He approached the bedside, facing her.
"Indeed," she murmured, yet her reluctance was evident. This was no Mulder; it was a chilling apparition. His posture, hands clasped behind him, seemed peculiar.
"Have you injured your hands?" she inquired, hoping conversation might deter any untoward action.
"I am unharmed!" he retorted, his voice echoing with anger, unfamiliar to her ears.
"Who are you?" Scully demanded, fear she couldn't suppress tinging her words.
Before he could respond, the cabin door swung open, revealing the genuine Mulder, bearing a breakfast tray.
"Who in the world are you?" Mulder exclaimed, echoing her earlier sentiment, reminiscent of their past encounters with doppelgangers.
"You know my identity. You cannot prevent me from finding her, wherever you may go," he declared, then vanished as suddenly as he had appeared.
Scully gazed at the empty space he had occupied, feeling not panic, but numbness. Had she hallucinated? Her imagination was vivid, but this felt real, unlike any daydream. Reality and fantasy, however, were distinct, and she knew this had occurred.
Mulder poured her a cup of strong black coffee, sweetening it generously.
"Here, drink this," he instructed, handing her the cup. She complied, feeling a slight improvement, despite her usual aversion to sugar. It was for shock, she realized, a common remedy. He too had witnessed the uncanny event - a Mulder double had infiltrated their cabin, then vanished without a trace.
It seemed implausible, yet they had both witnessed it. What could possibly be the explanation?
"By the way, I've left some clothes in the bathroom for you, if you'd like to change before breakfast," Mulder offered, turning his gaze away from Scully.
"Oh, thank you," she responded, pausing at the door. "Can you whistle, by any chance?" she asked curiously.
"Whistle? No, I've never been able to," Mulder admitted, beginning to spread butter on his toast as she left the room. At least she knew the man in the bathroom was not Mulder.
Mulder was behaving with utmost propriety, which left Scully uncertain about her desires. She yearned for him to kiss her passionately, to sweep her off her feet and lay her down on the bed, and then... her thoughts trailed off. The mere idea of it made her legs feel weak. She knew what would follow, but the prospect of actually acting on it filled her with an inexplicable dread.
Not nameless, but rather faceless, a man had attempted to violate her, the same man who had shattered her legs, and she had somehow repressed the memory. How could she have forgotten such a traumatic event? And Mulder had been there. Mulder had intervened.
Mulder had finished his toast and started on some cereal when Scully finally emerged from the bathroom. She wanted to express her frustration at his calm demeanor, given her inner turmoil.
"I've invited Lucy to join us in Pompeii, is that alright with you?" Mulder inquired as Scully took the last slices of toast.
"Of course," she replied, courtesy prevailing over her true sentiments.
She secretly wished for some alone time with her husband on their honeymoon.
Clearly, it was. Was Mulder apprehensive about being alone with her? Perhaps he feared he might succumb to her allure in the absence of others? She wore a subtle smile, a glimmer of hope for their relationship amidst the turmoil. If only she could banish the haunting memories.
Upon disembarking in Naples around nine, Scully felt a thrill of anticipation. Pompeii, a place she had only read about, was now within reach. The ancient city, once engulfed by Vesuvius' volcanic ash, was about to reveal its tragic history. She was relieved that such an event was unlikely to recur, at least in her lifetime.
Mulder sat beside her on the coach, providing some comfort. Lucy, seated in front, frequently turned to engage them in conversation, proving to be a welcome distraction. As they approached Pompeii, however, Scully's excitement began to wane, replaced by a growing unease. The lush landscape of olive groves and citrus trees, usually a source of solace, offered little respite.
Upon arrival, Vesuvius loomed in the distance, its peak shrouded in cloud. The sky stretched out in a vast, cloudless blue. A long queue formed at the entrance, but their excursion organizer swiftly alleviated Scully's concerns by distributing pre-purchased tickets. He reminded them, "The coach departs at four, so please ensure you're back here by three forty-five. Enjoy your time, and I'll see you all later. Those who've booked the guided tour, meet me inside the gates in fifteen minutes."
Approximately half of the coach's passengers trailed the guide into the ancient ruins.
"I hadn't reserved the tour," Mulder remarked. "I figured we could explore independently. That way, we set the pace."
"Excellent idea," Lucy concurred.
Upon exiting the coach, they discovered a stall outside the gate peddling guidebooks and souvenirs. Mulder purchased a guidebook while Lucy and Scully proceeded inside.
Scully was caught off guard by a sudden wave of nausea upon entering the gates. She had expected to feel better, having disembarked from the coach. She swallowed hard and took a deep breath, attempting to suppress her urge to vomit.
The trio began their exploration at the forum, passing nearly intact structures along the way. Scully was taken aback by the extent of preservation; she had anticipated only low walls and roofless remnants. Instead, many buildings stood tall, some even boasting roofs and wooden doors.
The mosaics were a marvel, their vibrant colors still visible. In one of the bathhouses, a black and white dolphin mosaic adorned the floor, evoking images of laughter and conversation from centuries past. The very air seemed to resonate with echoes of the ancient city's life.
Emerging into the sunlight, Scully shielded her eyes. She blinked in disbelief as she spotted chariots traversing the road and men clad in togas and tunics wandering about. She wondered if she was experiencing some sort of mirage or if there was a historical reenactment taking place.
Across the road, Scully noticed a young girl standing alone, looking lost and forlorn. The girl's tunic was far too long, and Scully feared she might trip if she moved. The girl turned her gaze towards Scully, revealing striking blue eyes that seemed eerily familiar. Scully felt her heart ache as she was reminded of Emily.
Abruptly, she was inundated with every emotion. The jubilation of nuptials, the elation of new life, the grief of loss, and the profound terror of impending, agonizing demise. It was a pungent, acrid flavor in her mouth, indelible and haunting. Scully attempted to shut it out, but her mind was a cacophony of signals, a radio tuned to countless stations, yet she couldn't locate the off switch.
"Stop!" Scully cried out, clamping her hands over her ears. But the voices persisted, real and unyielding within her mind. She heard the collective screams as they realized the volcano's fury was inescapable, followed by an eerie silence, as if the world had ceased to exist.
She tasted death on her lips.
"Scully, are you alright?" The question's origin was unclear, whether Mulder or Lucy had spoken. It mattered not; she was incapacitated, her body wracked with violent retching.
Mulder supported her, brushing her hair from her face. Despite her efforts, Scully couldn't stop the convulsions. She yearned to expel every feeling, to rid her mouth and throat of that horrid taste.
"I'll take you back to the coach," Lucy offered, but the mere thought of the journey triggered another wave of nausea. Eventually, only bitter bile remained, yet her body continued to convulse. She collapsed to her knees, pulling Mulder down with her.
"It's okay, it's okay," Mulder soothed, cradling her in his arms.
After regaining her composure, Scully was assisted by Lucy and Mulder back to their coach. Reflecting on their visit, Mulder lamented, "We shouldn't have come here. I'm sorry, Scully. I shouldn't have exposed you to this, being as sensitive as you are." Lucy, however, was incredulous, "Dana's a sensitive, and you brought her here? How could you be so careless?"
Scully, feeling too weak to intervene, quietly asked, "What's a sensitive?" Lucy stared at her, then at Mulder, "She doesn't know? You haven't told her? What have you been telling her, Fox?" Mulder replied, "Nothing, I didn't think she needed to know." Lucy insisted, "How's she supposed to protect herself if she doesn't know how? Tell her now!"
Mulder, however, insisted on waiting until they were back on the ship, citing the need for privacy. Lucy, now calmer, apologized for her outburst, "I just got so angry with you. I thought you had more sense. Dana's a grown woman, not a child. You can't keep her in the dark forever."
The journey back was smoother than Scully had anticipated. As they distanced themselves from Pompeii, her nausea subsided. Lucy sat beside her, while Mulder took a seat a few rows behind. Despite the calm exterior, Scully was left wondering about the mysterious term'sensitive' and whether she truly wanted to know its meaning.
Fox must have imparted some information to you, hasn't he?" Lucy inquired.
"Not particularly. His words were merely that he could safeguard me if we were wed," Scully replied.
"You're correct. There's potency in the union of two souls. Fox is aware of this," Lucy acknowledged.
Scully fidgeted in her seat, contemplating how to convey to Lucy that Mulder seemed disinterested in consummating their marriage. The remainder of their journey was spent in silence. Scully now wished she had never developed feelings for him, never married him, and never embarked on this ill-advised cruise. Tears streamed silently down her face.
Lucy offered solace by squeezing her hand, indicating that words were unnecessary.
Scully yearned for Mulder to provide comfort, but he only seemed to cause her anguish, a pain as unyielding as an open wound. The most profound pain imaginable was unrequited love. How could one love someone who did not return those feelings?
Scully was relieved when they returned to the ship, escaping Pompeii and its horrors. She vowed never to endure such an experience again. Lucy escorted them to their cabin, leaving them in the corridor, at a loss for words.
They stood there, two strangers, despite their shared history. What had gone awry between them?
Scully looked up at him through her lowered lashes, her breath hitching. He gazed at her with such tenderness, and dare she hope, love?
"I apologize, Scully. I should never have taken you there. I knew the potential consequences and failed to inform you how to prevent them," Mulder confessed.
Suddenly, the ship pitched, and Scully was thrown into his arms. They remained there, silent, for what felt like an eternity. Mulder broke the silence.
"We should go inside, and I'll attempt to explain. I scarcely know where to begin.
Scully had a specific desire for their encounter - a kiss to commence, but his intentions lay elsewhere. She hesitantly entered the cabin, following him. He took a seat on the dressing table stool, while Scully perched on the edge of the bed directly across from him.
"I'll commence this tale as one would a story," he began. "How about we start with 'Once upon a time'?"
"Is this to be a fairy tale, then?" Scully inquired, raising an eyebrow.
"Indeed, you'll see. Once upon a time, in a distant land, there existed two distinct races: humans and the Eloin. The Eloin bore a striking resemblance to humans but possessed unique attributes, particularly their women.
"Upon reaching puberty, Eloin women developed extraordinary powers, rarely seen in their male counterparts. They could delve into minds, heal ailments, and traverse great distances with just a thought.
"Given these powers, Eloin society was matriarchal. Infrequently, a boy would be born with these abilities, sparking conflict over who should rule - men or women.
"They coexisted peacefully with humans, aiding them with medical issues and locating lost items, among other things. The Eloin also possessed psychic abilities, predicting storms and eclipses.
"Initially, humans relied on the Eloin for such forecasts, but fear grew as they blamed the Eloin for causing natural disasters and crop failures. Another reason for this fear was the Eloin's immortality - they ceased aging after reaching around thirty years of age."
"You mean they were immortal?" Scully clarified.
Indeed, they were susceptible to perishing, but not due to the passage of time. Their aging process had halted, which initially alarmed their human neighbors. To mitigate this, the Eloin adopted the appearance of elderly individuals, seemingly in their sixties or eighties, while still retaining their youthful vigor of around thirty years.
Scully, attempting to suppress amusement, inquired, "A form of magical disguise?"
"In a manner of speaking," the assistant replied. Over time, the Eloin withdrew from human contact, fearing potential retribution given humanity's violent history. Their own conflicts were intellectual, with the most powerful mind emerging victorious and governing until challenged. However, a shift occurred among the Eloin, possibly due to prolonged proximity to humans. An unprecedented aggression, particularly among the men, surfaced. They sought to emulate human male dominance, despite few possessing the requisite power.
This led to the slaughter of nearly half their population, as the men killed the women. Recognizing the impending extinction, they resorted to keeping the surviving women as breeding stock, maintaining them in a constant state of pregnancy to prevent escape. Some women managed to flee and lived solitary lives, shunning group existence due to lingering fears of renewed violence. While considered eccentric by their human neighbors, they were generally accepted as humans.
"Tales of their extraordinary abilities began to circulate, despite their efforts to conceal them. They understood that humanity would not readily accept these mysterious powers without seeking explanations. Speculations ranged from them being fairies or little people to the most perilous accusation: that they had made pacts with the devil and were witches. Even mere allegations of witchcraft had led to executions in the past.
'Monstrous!' you exclaimed. 'Are you suggesting the Eloin were akin to witches?'
'I cannot verify the existence of witches, Scully,' I replied. 'However, numerous individuals, including many Eloin, were persecuted under that label. Whether being an Eloin is equivalent to being a witch remains uncertain.'
'But what connection does this have to the events at Pompeii?' you inquired.
'No!' you cried out in disbelief. 'I refuse to believe it! You're fabricating this!' It couldn't be true. You couldn't be part of a lost race. You were human, weren't you?
'But I'm not a devil worshipper,' you protested.
'I didn't imply you were, Scully. The Eloin faced such accusations, but that doesn't confirm their guilt. You must have sensed your difference, which likely led to your abduction, along with other women.
Your hand instinctively went to the back of your neck, where your implant was located.
'Why?' you asked.
'Because they were all Eloin women, Scully, though few were aware of their lineage. The motive behind their abduction is clear: power. The Eloin women possess it, and they desire it. Why else would they remove all your eggs? They aim to create a powerful army of men, but the abilities are typically inherited through the female line. They're still experimenting, trying to engineer the perfect male soldier.'
Scully rose from the bed, then sank back onto it, overwhelmed by the deluge of information. She pondered the nature of the Eloin - were they witches, fairies, or something entirely unfamiliar? "Is that why I need protection?" she asked, processing her newfound identity. "Who was that man who visited our cabin?" she inquired, attempting to shift the conversation.
"That was Dr. Haroldson," came the response. "He's the one you need shielding from." Intrigued, Scully pressed on, "What does he want with me?" She braced herself for an unpleasant revelation.
"Haroldson is a male Eloin with extraordinary powers," the assistant explained. "He's driven by a desire to create an army of Eloin soldiers, all male. He believes you can cure his ailment, as you've demonstrated healing abilities in the past."
Scully absorbed this preposterous notion without laughing. "But why me?" she asked, seeking clarification. "He's dying and thinks I'm his only hope," the assistant revealed. Scully nodded, acknowledging her healing prowess, though she found it challenging to admit that science wasn't always the sole cure. "Mulder, I'd like some time alone to process all this," she requested, to which he agreed, understanding the magnitude of her new reality.
Upon his departure, Scully's thoughts did not align with the prevalent concerns; instead, she found herself contemplating Mulder and her designs to engage him intimately. The notion of Dr. Haroldson's aspirations to monopolize her abilities seemed implausible, posing no immediate threat in her mind. Her thoughts briefly touched upon the Eloin, but their complexity proved overwhelming, even for her scientific acumen. She had encountered cases of telepathic twins, which led her to consider the possibility of a race with such abilities.
Could Gibson Praise be one such male Eloin? The thought of Mulder's secrecy, however, was unbearable. Why had he withheld this information? Her parents, too, had remained silent, leaving her to question her own humanity. If she was not human, perhaps her perceived human feelings were, in fact, Eloin in nature. She suspected Mulder was still concealing information, and if he refused to divulge it, perhaps Lucy would.
Lucy's cabin was located one deck below, and Scully felt an unsettling sense of disorientation, as if descending further might prevent her return. The engine noise was more pronounced here, making her grateful for their higher deck accommodation. She knocked on Lucy's door, which was answered by Lucy herself, wrapped in a bathrobe. A fleeting glimpse of dark hair in the bed left Scully wishing for the floor to swallow her whole. Apologetic, she turned to leave, but Lucy's call stopped her.
"Wait!" Lucy exclaimed. "Give me five minutes, and I'll join you on deck."
During those interminable five minutes, Scully's gaze was fixed on the passengers leisurely walking along the deck. Most were pairs, their hands entwined or arms wrapped around each other, a sight she yearned for with Mulder. Not this platonic affection, she thought, she craved love, not coddling. Why was Mulder oblivious to this? Did he find her unappealing? Did he prefer women like Suzanne? Lucy approached her at the ship's rail.
"It's about Fox, isn't it?" Lucy asked. "Has he shared the Eloin story with you?"
"Yes, he has," Scully replied, "but I sense he's holding back. I'm tired of deciphering his silences. I want to know what else he's keeping from me."
Lucy leaned in, whispering, "We should continue this conversation in our minds. These walls may have ears."
Have you and Mulder been intimate?
"Not yet," Scully admitted. "I'm not sure he finds me attractive."
"That's what he's not telling you," Lucy said. "He's afraid."
"Of what?" Scully asked.
"Of you. You're still discovering your powers, which are currently small. Fox fears what might be unleashed when you become intimate, that you won't be able to control it."
"I don't understand," Scully said.
"Once you've been intimate, your powers will greatly increase. If it's forced, they'll be destructive, often directed against the aggressor. You have the power to kill with a thought, Fox knows this."
"But I wouldn't hurt him! I love him!"
"Would you willingly accept him?" Lucy asked.
"Of course," Scully replied.
"Then you must tell him. It's the only way."
Lucy's thoughts suddenly ceased, and Scully gripped the railing, a pounding headache overwhelming her.
"Apologies," Lucy offered. "I lingered in your thoughts longer than you're accustomed. Dana, I'm familiar with my cousin's feelings; he's smitten with you. Fearful of your reciprocation, he treads carefully, lest his advances drive you away."
"But I've expressed my love!" Dana protested. Yet, she wondered, what if he doubted her sincerity? His trust issues were understandable.
"Forgive any intrusion," Scully said, recalling the dark-haired form on the bed. She'd have been mortified if someone had entered the cabin while she and Mulder were intimate.
"No harm done," Lucy reassured. "David will have to accept our closeness if he wishes to wed me."
"Wed?" Scully echoed, surprised.
"Yes, he proposed last night, but I haven't decided yet."
Scully hesitated, then decided to voice her thoughts. Lucy likely already knew them anyway. Lucy chuckled.
"Dana, it's not the Dark Ages. Sleeping with a man doesn't automatically mean marriage. David's a skilled lover, but will he make a reliable husband? Eloin men often struggle. They know our capabilities and fear displeasing us. I haven't been displeased with David yet, but who knows?"
Scully wasn't sure if Lucy was jesting or serious. Would she truly harm a displeasing partner? Mulder wasn't currently pleasing her, but she had no intention of harming him.
"I should return to David before he grows anxious. Good fortune with Fox. You'll need it."
"Thank you," Scully replied, at a loss for further words.
Throughout the remainder of the voyage, Scully and Mulder maintained a deliberate distance from each other. Mulder's absence from their shared cabin at night became increasingly frequent, prompting Scully to cease her inquiries about his whereabouts. She would catch glimpses of him during mealtimes, where he would acknowledge her with a brief, formal nod, akin to the polite exchange between strangers.
One of the dinner servers seemed particularly attentive to Mulder, a fact that did not escape Scully's notice and left her with a pang of jealousy. She found herself questioning how Mulder could remain oblivious to her feelings, given the depth of emotion she believed was evident in her gaze, her expression, her very being.
Scully anticipated the conclusion of their forced honeymoon, but the prospect of returning home was fraught with uncertainty. Dr. Haroldson's persistent pursuit made it an unsafe haven. She struggled to comprehend the doctor's belief in her miraculous healing abilities, especially given Mulder's past assertions about the Eloin.
Scully's sleep was interrupted by a vivid nightmare, from which she awoke in a state of distress. The announcement over the ship's intercom that they would disembark after breakfast brought a sense of relief, signaling the end of their charade.
Upon Mulder's return, his scent betrayed his nocturnal activities. The revelation left Scully feeling physically wounded, as if she had been struck in the abdomen. She braced herself, barely able to stand upright against the force of her emotional pain. Mulder, sensing her distress, attempted to offer an explanation.
"Your elucidations are unnecessary. Our union was never a marriage, and once we're home, I'll ensure it's annulled. There shouldn't be any complications, given my current status," she abruptly ceased, hoping her words would provoke a response, a declaration of love. Yet, he remained fixated on the two packed suitcases, an unbreached divide between them.
"If that's your wish," he replied.
"It is," she asserted, despite her heart's protest. She wouldn't confess her love, not with the scent of another woman lingering on him.
"How could you?" she thought, bewildered.
"Wait," Mulder interjected suddenly. "You can't go home."
"I know. I'll find an alternative," she said.
"I'll take you to my aunt's. You'll be safe there," he offered.
"Will I, Mulder?" she questioned, her true query left unspoken: safe from him, from the memories?
"Of course. You trust her, don't you?" he reassured.
"I don't know her, but it seems I have little choice," she resigned.
The return flight was even more arduous than the cruise. The plane was packed, and Mulder was separated from her by an aisle. Scully was seated beside a particularly tall man, who consumed most of the legroom, including hers, leaving her to sit with her legs turned towards the aisle.
The turbulence was intense, and she was unwell three times. Mulder, meanwhile, was fast asleep, seemingly oblivious to her distress. "Lucky him," she thought bitterly. As they landed, her relief at disembarking overshadowed her anger towards him.
"Could you tell me where your aunt resides?" inquired Scully as they stood vigilant by the baggage carousel.
"Vermont," Mulder replied succinctly.
"I've long harbored a desire to visit Vermont," Scully expressed.
"Well, now might be your chance," Mulder suggested, as Lucy materialized beside them, accompanied by a young man with dark hair.
"David, I'd like to introduce you to my cousin, Fox, and his wife, Dana," Lucy said, making the introductions.
"Pleased to make your acquaintance," David responded, extending his hand to shake theirs. His grip on Scully's hand was unusually firm, instilling a sense of unease in her.
"Fox, you should leave immediately," Lucy urged. "I overheard a police officer on his radio. They're searching for you and Dana. I'll deliver your luggage to Mum's once it's safe."
What could the police possibly want with them?
Oh, heavens, could it be the forged passports? Her passport was likely forged, as she hadn't possessed it, and Mulder had. Yet, no one had mentioned this before. They had boarded the plane without any issues.
"Come, Scully, we must depart," Mulder insisted, gathering their carry-on luggage and heading towards the green 'nothing to declare' channel.
"There they are!" a shrill voice rang out, a voice she initially struggled to recognize.
She found herself frozen in place by that voice, as she often was when confronted with a similar tone to her father's when she had been caught in some mischief. Could this be the infamous Dr. Haroldson? He was positioned between two police officers, but they didn't appear to be restraining him in any way.
"I want that man arrested on kidnapping charges, officer. He kidnapped my patient from the hospital, and I want him arrested!" the man bellowed, causing Scully to feel as though every person in the airport was now staring at her. Dr. Haroldson must be deranged, she thought to herself.
Mulder had intervened, sparing her an indeterminate stay at Roseberry Hill. He offered his arm, a protective gesture she welcomed. The younger officer inquired, "Let's hear from the young lady. Was this man involved in your abduction?"
Scully responded assertively, "No, we eloped. We believed it would be romantic. I'm unaware of this man's identity or his motives." The first officer asked for their marriage certificate, which Mulder produced. After a thorough examination, the officer returned it, remarking, "It appears to be in order. You're both free to go," with a hint of amusement.
Haroldson interjected, his forehead vein pulsating, "You can't just let them go! He's a kidnapper!" The officer explained, "I'm sorry, sir, but elopement isn't a criminal offense. She's an adult and has the right to marry as she chooses. Our hands are tied." Haroldson, enraged, threatened Mulder, lunging at him before the officers intervened. They nodded, allowing Mulder and Scully to leave, who swiftly headed to the car park.
Upon attaining the sanctuary of their vehicle, Scully's thoughts turned to the possibility of Haroldson's arrest for his menacing behavior towards Mulder. She harbored a hope that he had been incarcerated, as his imprisonment would render him incapable of causing her harm. "What if...?" she mused, contemplating a scenario where she was not wed to Mulder. Haroldson could have abducted her, alone and unnoticed, on some secluded rural lane. A shiver ran down her spine at the mere thought.
"I'm relieved you were present," Scully expressed, her words falling short of conveying the depth of her sentiment. She was grateful that the topic of their annulment had not been broached, as she clung to the hope that Mulder might change his mind and choose to remain married to her.
At a roadside diner, they paused for lunch. The cuisine, surprisingly palatable, went largely untouched by Scully, who was preoccupied with thoughts of their recent ordeal. Mulder, however, consumed his shepherd's pie with gusto, followed by a significant portion of Scully's meal, and even found room for dessert. Scully breathed a sigh of relief as they resumed their journey, each mile putting more distance between them and Haroldson.
Scully suddenly sat upright, her senses heightened. "I can detect the scent of water," she announced. "We're nearly there," Mulder replied, steering onto a winding side road. The rain began to fall, its pellets drumming against the windshield. The wipers, protesting with a squeak, struggled to keep pace with the deluge, only for the glass to be instantly reclaimed by the downpour.
Mulder slowed their pace as visibility grew increasingly poor. As they approached a two-story cottage, he brought the car to a halt. With the wipers silenced, all Scully could see was the relentless rain, as if they were submerged in the depths of a lake.
Edith, Mulder's aunt, greeted them warmly at the door, her face beaming with a broad smile. "Welcome home, both of you!" she exclaimed, planting affectionate kisses on their cheeks. Scully, curious, inquired, "How did you know we were coming?" Realizing the futility of her question, she mused that Lucy might have used telepathy to inform her mother.
Edith clarified, "Lucy called from the airport." Disappointed, Scully thought, "Well, that theory's out the window." Edith ushered them in, concerned about their exposure to the rain. "Come in, come in," she urged, guiding Scully inside while Mulder retrieved their sports bag from the car. Fortunately, they had packed essentials in their hand luggage.
The front door opened directly into a sitting room, where a crackling fire in the hearth provided a welcoming ambiance despite it being August. The warmth and comfort invited Scully to curl up with a good book and a mug of hot chocolate until the rain's chill had dissipated.
Mulder returned, carrying their bags and wearing a peculiar expression. Edith informed him, "I've put you both in your old room, Fox. I remember how much you loved staying here as a child. Your cases arrived safely about an hour ago. I'm not sure I'd have trusted Lucy with that, given her limitations in teleportation."
Scully was taken aback. "Teleportation?" she echoed, struggling to comprehend the implications. Did this mean Lucy could move objects with her mind, transporting them to different locations?
Before they could process this revelation, Edith bustled off to the kitchen, a small room adjacent to the sitting room. "Why don't you show Dana your room so you can both freshen up before dinner?" she called out, not waiting for a response.
"Up there," Mulder indicated, as if Scully hadn't already deduced that much. She trailed behind him. "Need a hand with those bags?" she offered. "No, I've got it," Mulder responded curtly, positioning them out of her reach. A small landing with four doors presented itself. Mulder opened the second door on the right. "This is your room. I'll take Lucy's, since she's away. No need to fret about accommodations." He placed her bag inside. "The bathroom's across the hall. Catch you later." "Mulder, I..." Scully began, but words failed her. "Don't worry, I'll square everything with Aunt Edith about the annulment. She'll get it," Mulder assured her as he departed. Scully let out a sigh. Edith's understanding was one thing, but acceptance was another. After changing and showering, Scully heard Mulder and Edith discussing her as she returned to the landing. Instead of retreating to her room, she lingered, one foot in the bathroom, one on the landing. "An annulment? Absolutely not! You two were meant for each other," Edith insisted. "Make her see! Anyone can tell you're both in love. You must make Dana realize that," she urged. "How? She must despise me for what I've put her through. How do I keep her?" Mulder wondered. Scully inched closer to the top of the stairs to listen better. Mulder loved her. That was all that mattered. They'd face their problems together, even the craziness of Dr. Haroldson.
Pursue her affection, Edith advised.
'Pursue her?'
'Yes, indeed. Indulge her with flowers, confections, intimate dinners under the moonlight, and leisurely strolls beneath the stars. The specifics matter less than the sentiment behind them.
'But what if she finds none of that appealing?'
'I've not encountered a woman immune to romance. If Dana remains unimpressed, discover her preferences. You've conversed with her, haven't you?'
'Certainly! I've detailed our situation and Dr. Haroldson's interest.'
'I meant personal discussions - her aspirations, favorite literature, musical tastes. Have you explored these topics?'
'We've yet to delve into such matters.'
'Then it's high time you did.'
Meanwhile, Scully descended the stairs, aware she'd been overhearing but grateful for the insight into Mulder's feelings. Would he have shared them otherwise? She found him by the fireplace, lost in thought.
'Feeling better, Scully?' he asked as she approached.
'Much improved, thank you,' she replied, smiling. The rain had ceased, revealing a clear blue sky unmarred by clouds.
'I hope the weather holds tomorrow,' he murmured. 'I was wondering if you'd like to join me for a picnic by the lake tomorrow. We could take a leisurely walk together. What are your thoughts?'
'It sounds delightful, Mulder. I'm looking forward to it,' she responded warmly.
"Who are you?" he queried, astonishment evident in his tone, prompting Scully to suppress a laugh. Simultaneously, Edith entered from the kitchen, bearing a tray laden with steaming mugs of hot chocolate, freshly baked soda bread, and an assortment of cakes and cookies. A china pot of blackberry jam and a jar of honey accompanied the spread. "I trust you're both famished. There's plenty more where this came from," she announced.
Scully's hunger pangs intensified as she and Mulder simultaneously reached for the final slice of soda bread. "Please, you have it," Mulder offered. "No, after you," Scully insisted. Their polite exchange continued until Edith intervened, dividing the last slice and distributing it between them.
"Fox, I'm off to visit your aunt Millie for a spell. I thought it might be nice for you two to have some privacy, extending your honeymoon," Edith said, oblivious to the unspoken reality. Scully mused about Edith's reaction if she knew the truth about their marital status.
"How long will you be gone?" Mulder inquired. "About a week, give or take. You're both welcome to stay here as long as you'd like," Edith replied.
Scully hoped her trembling cup went unnoticed. The prospect of being alone with Mulder left her both exhilarated and anxious. The evening passed in a haze as the trio engaged in a card game by the fireplace. Scully's thoughts remained consumed by Mulder and the impending solitude they would share. She wondered if her racing heart was audible to the others. As the final card round concluded, Edith yawned and stretched, signaling the end of their shared evening.
Retiring for the night, she bestowed affectionate kisses on both before ascending the staircase, leaving behind an atmosphere filled solely with their rhythmic breaths and the symphony of crackling logs. Once she had departed, Scully collected the playing cards, returning them to their container. 'I believe I shall retire as well,' she stated, her words laced with unspoken invitation, or so she hoped.
Mulder, seemingly oblivious, responded belatedly, 'Oh, yes, goodnight.' He, too, offered a kiss on her cheek, leaving her skin tingling as if seared by an unseen flame. That night, sleep eluded her, tossing and turning in the bed that once belonged to Mulder, now her husband. The mere thought of him in this very room ignited a fervor within her, a longing she had never before experienced.
She clutched a pillow, imagining it was Mulder, his presence, his touch. The thought of crossing the hall to his room, to be with him, was both tantalizing and terrifying. What if he rejected her again? The fear of his rebuff was her ultimate deterrent, not the potential disruption to their host's sleep. As the night wore on, she remained awake, her body yearning, her mind racing, the pillow her only companion until morning's light.
She extricated herself from the bed, reluctant to abandon the delightful dream that had been hers. A dream where all her desires were met, unlike the stark reality she usually faced. Today, however, she was determined to alter her circumstances. With a wide grin, she rifled through her suitcase, seeking an unrumpled garment. The only option was a dress in navy chiffon, adorned with a stark white collar and pearl buttons. While practicality might have dictated a different choice, given their planned walk, she was in the mood for frills and flounces, a departure from her usual self. She donned the dress, along with matching white satin underwear, a gift from Mulder from their ill-fated cruise. She also wore stockings for the first time, savoring their soft touch against her skin. The shoes posed a challenge. High heels were impractical for walking, and sneakers would clash with her dress. She compromised with flat white pumps, which were both practical and complemented her attire.
Gazing at her reflection, she sighed. Her hair, disheveled from a restless night, was a wild mess. It took considerable effort to detangle, but she managed to create a presentable braid, which she secured with a navy ribbon left by Mulder. How had he anticipated her need for it?
Meanwhile, Mulder was in the kitchen, preparing breakfast with his back to her. The aroma of burnt toast filled the room.
"After incinerating the initial batch, Edith procured a new toaster, which appears to have a binary setting: 'burnt' or 'even more burnt'. Would you prefer cereal instead?"
"Indeed," replied Scully, taking a seat. As she turned, she nearly dropped the bowls she was carrying. "My, you look radiant!" she exclaimed, unsure whether to feel complimented or offended by Mulder's surprise. "I suppose it's not every day I'm seen in a state of beauty?"
Mulder was attired in a pair of denim jeans and a white shirt, the top button left undone, revealing a hint of chest hair. Scully indulged in a daydream of slowly unbuttoning his shirt, one button at a time.
Scully consumed her bowl of cornflakes in silence, her gaze fixed on the dish, not Mulder. She wished she could shake off her nervousness. Did Mulder share her sentiment?
"I thought we could commence our journey after breakfast. The path stretches for miles. We can pause for lunch along the way. I'm certain we'll find a suitable spot," Mulder suggested.
"It sounds delightful," Scully responded, her thoughts elsewhere.
Upon finishing the dishes, they set off. Mulder carried a picnic basket in one hand and held Scully's hand in the other, which she periodically wiped on her dress due to perspiration. Occasionally, Mulder would glance at her and smile, causing her heart to flutter.
The vista from the lake path was awe-inspiring. Sunlight danced on the water's surface like a myriad of tiny lanterns. A handful of yachts floated in the water, resembling toys. As Scully watched, a windsurfer tumbled into the water with a resounding splash.
"I wish I could do that," Scully remarked.
"Fall in?" Mulder chuckled.
"No, surf," she clarified.
"Why not give it a try, then?"
"I believe I should learn to swim first," Scully reasoned.
"You can't swim?" Mulder asked, astonished, as if she'd confessed an inability to walk.
"Is this against the law?" Scully inquired, sullenly.
"Not at all, I was merely taken aback. I assumed your family were all adept swimmers," Mulder responded.
An uncomfortable silence ensued, with Scully wishing for a more comfortable rapport between them. Their mutual affection seemed to be hindered by an unseen barrier.
The sun's warmth intensified, causing Scully to long for a hat. She felt her scalp prickling, foreseeing a headache. Insects, including wasps and butterflies, flitted around the wildflowers lining the path, seemingly unbothered by the human presence. Thankfully, there were no bees, as Scully's previous encounter with them had left her with a lasting aversion.
The path began a steep descent, requiring Scully to lean on Mulder for support. The loose sand and stones made the terrain treacherous, and she was determined to avoid a humiliating fall.
"Just a little further," Mulder reassured her as they reached the beach. Walking along the sand was even more challenging than the path, feeling like they were trudging through thick mud.
After what felt like an eternity, they reached a secluded area by the lake, hidden from view by a grove of trees. A man walking his dog was the only other presence, the dog seemingly more interested in its aquatic pursuits than its master's commands.
Mulder unpacked the blanket and spread it beneath the trees, settling down with his head resting on his hand. Scully sat down, tucking her legs underneath her, as the man and his dog disappeared from view.
"Feeling peckish yet?" Mulder asked.
Hardly," Mulder responded, moving closer to Scully, their knees touching. "Scully, I have something to share with you," he said, his expression serious.
"I'm not sure I'll like it," she cautioned, her eyes searching his.
"I think you will," he reassured, a hint of a smile playing on his lips. "You see, I couldn't help but overhear your conversation with your aunt. I know I shouldn't have eavesdropped, but I needed to know where I stand with you."
"Why didn't you just ask me?" Mulder wondered.
"I wasn't certain if you'd be honest or tell me what you thought I wanted to hear. I love you, Mulder. I don't want our marriage annulled. Your aunt is right; we're meant to be together."
Mulder's relief was palpable, his feelings for her now openly acknowledged.
"Before we move forward, there's something I must confess," Mulder began, his tone somber. Scully paled, bracing herself for what was to come. She didn't want to hear about the woman who had accompanied him during their honeymoon, preferring to forget it ever happened.
"When you were taken, when you were first abducted, I became involved with someone during a case. I slept with her. I can't offer an excuse or justification, because there isn't one. I'm sorry, I was weak. I'm always weak without you."
Scully pressed on, determined to clear the air. "And on the cruise? Who was she? Was it the waitress? Let's get everything out in the open now, so we can move on."
Mulder looked confused. "What do you mean?"
"You returned smelling of perfume, and it wasn't mine. So, who was she?
"Ah, Scully!" he chuckled, "You misinterpreted, didn't you? I was merely taking a nap in the gift shop when a perfume box tumbled onto me! Our union was sacred, I'd never stray then." Scully quivered, a blend of longing and trepidation. His proximity was intoxicating. He leaned in, his lips finding hers in a tentative, exploratory kiss that gradually deepened in passion. Scully felt herself being swept away.
She sank to the ground, pulling Mulder down with her. Lying on the sand, she reveled in his kisses, his fingers weaving through her hair, sending shivers down her spine. His other hand caressed her leg, moving up to her thigh, igniting a jolt of electricity. Scully gasped, and Mulder pulled back.
"I apologize. If you're not ready, we can halt this," he said gently.
"No, don't stop," Scully whispered, a fleeting moment of hesitation passing. She wanted Mulder, needed him. He leaned over, unbuttoning her dress, his lips tracing a path between buttons. As he slid the dress off her shoulders, his kisses left a trail of fire on her skin.
He took her nipple into his mouth, sending waves of pleasure straight to her core. A groan escaped her as she ran her fingers through his hair. His mouth traveled lower, igniting sparks wherever it touched. He gently parted her thighs with his nose, his tongue finding her center. He began to lick, softly at first, then with increasing intensity, as her sensations grew. She felt she might faint. He was going to consume her.
"Oh, heavens!" she gasped, as the initial waves of ecstasy began to engulf her. Once the intensity had somewhat abated, Mulder positioned himself beside her, wrapping her in an embrace until she regained her composure, punctuating her forehead with tender kisses. Scully felt breathless, as if she might swoon.
Impulsively, she began to unfasten Mulder's shirt, as if the barrier of clothing had become unbearable. Mulder guided her hand to his chest, where his heart pounded fervently. "It beats just like mine," Scully murmured. "I love you," Mulder whispered, pressing a soft kiss to her nose. She clung to him tightly as the moment of intimacy approached, her body tensing beneath his.
He gazed down at her, his eyes filled with an affection that seemed suddenly, profoundly clear. "I won't cause you pain, Scully," he promised. "Just let yourself relax." Gently, he parted her legs and began to explore her with his fingers, as if unveiling the petals of a fragile blossom. Soon, her anticipation became almost unbearable.
"Please, Mulder!" she moaned, her desire palpable. He held her hips firmly as he entered her, his movements slow and gentle, eliciting a frustrated groan from Scully. "Faster, Mulder! Harder!" she urged. He paused, concern etched on his face. "I don't wish to cause you discomfort."
"Don't stop! Please!" she pleaded, the initial discomfort now a distant memory. "Faster, Mulder, please! I need it this way." He complied, his pace quickening. The sensation was unlike anything she had ever experienced. She was with Mulder. Soon, his pace increased further, and she felt the warmth of his release within her, triggering her own intense orgasm, leaving her questioning her own mortality.
He slumped upon her, depleted.
They reclined in each other's embrace, having redressed, mindful of potential passersby on the beach. Moments prior, Scully's concerns would have been negligible; her thoughts were consumed by Mulder alone.
"Did I cause you pain?" Mulder inquired.
"No," she replied.
"Are you certain?"
"Well, perhaps a little," she admitted, laughter in her voice, and she kissed him. An unusual sensation had manifested after their intimate encounter; Scully was uncertain if it was genuine or a product of her imagination. An elderly couple strolled along the shore, their hands entwined. She perceived it around them as well.
"Mulder," she began.
"Yes?" he murmured, drowsily.
"Can you perceive something encircling people?"
"What do you mean?" he asked, rousing.
"It's like... a sort of glow," she attempted to describe.
"Ah, that. I'm surprised Lucy didn't inform you. It's due to your no longer being a virgin; your abilities have amplified. What you're witnessing are people's auras," he explained.
Scully struggled to accept these alleged powers everyone insisted she possessed. It all seemed illogical, yet her life had never been one of conventional norms. She often felt like an outsider.
"I'm developing a headache. Can we return?" she asked.
"Consume something first; that might alleviate your headache," Mulder suggested, offering her a sandwich. Scully reluctantly complied, despite her lack of appetite. After finishing a sandwich and a quiche, they gathered their picnic belongings and headed back. As they neared the house, Scully's headache intensified, reminiscent of her experience in Pompeii.
Something's amiss," she indicated to Mulder, gently touching his arm to halt his progress. He didn't inquire about her intuition.
"We'll proceed with caution," he assured, continuing along the path. Scully followed suit.
Despite the potential peril, she desired to remain by his side. As they approached the cottage, the source of Scully's discomfort became apparent. A figure was huddled in the doorway, initially appearing as a heap of rags, but upon closer inspection, revealed itself to be a person.
"Good heavens! It's him!" Scully exclaimed, but not as they'd last encountered Dr. Haroldson. He was now disheveled, with unkempt hair and soiled attire. As Scully leaned down to check on him, a hand suddenly emerged from the rags and grasped her wrist.
Too late, she felt the needle's prick on her arm.
Upon regaining consciousness, she found herself in a basement-like setting. The cold was biting, and she trembled violently. Water trickled down the walls, and the scent of damp earth permeated the air. She was completely exposed, vulnerable.
What did Dr. Haroldson intend for her?
Leather restraints secured her wrists and ankles to the hospital bed she was lying on. But that wasn't her primary concern. The sight of Dr. Haroldson looming over her with a syringe in hand was what truly alarmed her. She watched as he expelled air from the needle, a few droplets of liquid escaping from its tip.
"What are you doing?" Scully demanded.
"It's merely a sedative, to help you relax. Then I must take some blood. Just a precaution.
"Indeed, you are, as I perceive you to be, a genuine Eloin. Picture this, Dana: with you and me together, we could resurrect our lineage! Our offspring would dominate the world. Have you any idea how long I've sought another pure Eloin, like myself?"
Scully exclaimed, "You're deranged!" She attempted to free herself from the bindings, but to no avail. The needle descended, plunging her back into unconsciousness.
In her dreams, Scully saw Mulder, frantic and searching for her.
(Mulder, where are you?)
(I'm here, Mulder)
(You abandoned me again)
(I'll never leave you, Mulder)
(You always leave me)
She awoke, choking on her tears. Scully tried to wipe them away, but found her hands still bound. The only sounds were her ragged breath and the steady drip of water against the walls.
Upon regaining consciousness, she found herself dressed in a white nightgown. She waited, unsure of how much time had passed, before Haroldson reappeared. He smiled down at her, catching her off guard.
Without warning, his hand struck her cheek, a stinging blow that left her ears ringing and eyes watering. Her cheek felt swollen, and she braced herself for the blows that followed. She feared losing consciousness again, but Haroldson wouldn't allow it. Her teeth felt loose, and blood filled her mouth, metallic and choking. Still, the assault continued.
"You were meant to be untouched!" Haroldson growled, tearing at her nightgown. He forced her legs apart, probing her intimately.
She writhed, trying to escape his violating hands, but the restraints held her firmly in place.
"Was it enjoyable? You've been defiled! Your lineage is now tainted with human blood. You bear his spawn!" He forcefully penetrated her, causing her to cry out in agony. "Let's see how you fare with a pure Eloin inside you!" The sound of his unzipping echoed through the silent basement. She refused to submit to this lunatic's assault, but how could she resist?
"If you dare touch me, I'll end you," she whispered.
"Ha! You think you can?" he scoffed.
"Try me. Are you willing to take that risk?"
He withdrew, glared, then raised his hand as if to strike again, but hesitated. He left her alone with her pain. She wasn't sure she could use her powers to kill him, but hoped the threat would deter him.
What had Mulder said about the Eloin's ability to teleport? She closed her eyes, focusing on Mulder's apartment, visualizing every detail. Her head throbbed with effort, but nothing changed. She was still trapped.
Why wasn't it working? Perhaps her powers weren't fully developed. She heard footsteps.
"That won't work," said Haroldson. "Teleportation is impossible when physically restrained. Why do you think I kept you bound?"
"What do you want from me?" she demanded.
"Come now, Dr. Scully, haven't you discerned the truth yet? You stand as one of the rare, unadulterated Eloin. The rest have been contaminated by alien, specifically human, blood. It is humanity, not the Eloin, who are the extraterrestrial entities. The Eloin have been Earth's inhabitants since time immemorial."
"What are you implying?" Scully inquired, her brow furrowed in confusion.
"I would have thought your partner, Mulder, would have enlightened you. Humans arrived on this planet millions of years ago, with the Eloin being Earth's original inhabitants. It's rather remarkable, given his human lineage, how much he seems to know about us."
"So, Mulder is not Eloin?" Scully pressed, her mind racing with newfound revelations.
"Indeed, he is not. He is half Eloin, his sister being pure-blooded. Their paternity differs."
Scully, having harbored similar suspicions, now found them validated. "If what you say is true, why is Haroldson after me? I thought they were only abducting Eloin women."
"Ah, Dr. Scully, there are others, but none like you. You alone possess the cure to our ailment. There was once another, but she is no more."
Scully's heart pounded as she braced herself for the inevitable revelation. "Who was she?"
"Your sister, Melissa," he replied, his voice cold and clinical.
The words struck Scully like a physical blow, leaving her breathless and reeling. She struggled to shield her thoughts from his invasive mind, but it was futile. "You cannot escape me, Dr. Scully. Even if you manage to flee, I will find you. The implant ensures it."
He remained silent, his gaze fixed upon her as if he were a naturalist encountering an unusual specimen, contemplating its fate: to observe or to eliminate. He departed without uttering a word. Once assured of his absence, Scully sought a means of escape. Bound as she was, she considered the implausible, a mental command to unbuckle her restraints. She smirked inwardly, Dana Scully, the scientist, resorting to telekinesis. Was it any different from prayer, she mused, having invoked divine aid recently?
She shut her eyes, visualizing the leather straps unfastening. With intense focus, she repeated the image until she felt the bindings slacken. Moments later, she materialized in Mulder's apartment. He looked up, astonished.
"Scully? Is that truly you?"
"Mulder, for goodness' sake, assist me!" Her strength waned, the apartment flickering with the basement's image. Mulder seized her hand, banishing the basement. She leaned against him, trembling. He tilted her chin up.
"My God, Scully, what transpired?"
"There's no time. The implant. Remove it. Now." She rushed to the kitchen, grabbing a knife. Mulder hesitated.
"But it's not sterile!"
"I don't care. Just get it out. Now."
"Yet, the cancer, Scully. It will reemerge."
"Please, Mulder. Just proceed. If you care for me, do it."
She could nearly visualize his hands trembling as he positioned himself behind her. He tenderly lifted her hair aside before commencing the incision. It pained her, but not as much as what she'd already endured due to the implant. She remained as motionless as possible while she felt Mulder's fingers delicately extracting it from her neck. Such gentle fingers for such a robust man.
"What shall I do with it?"
"Discard it. It's a tracking device. It's how Haroldson located me. Did you know that's what it was, Mulder?" She turned to face him, suddenly feeling intensely angry with him. His silence was all she needed to confirm her suspicions.
Mulder knew what it was and still he insisted it be placed in her neck. She felt nauseous. Scully rushed to the bathroom, barely making it in time.
She vomited until there was nothing left but bitter saliva. The front door slammed. Mulder. Departing.
How could he have allowed her to have that implant in her neck when he knew what it was? Or was he so naive as to believe he could shield her from Haroldson, from all of Them? No wonder the CSM had been so eager to have Mulder give Scully a 'cure'. But if the implant wasn't a cure for her cancer, then how was she cured? It made no sense.
But then, when did her life ever make any sense?
Mulder returned around midnight. Scully was curled up on his couch, a blanket wrapped around her. She pretended to be asleep. She wasn't sure she could speak to him without shouting at him, at what she saw as his ultimate betrayal. He might as well have handed her over to Haroldson himself.
"Your wakefulness didn't escape me, Scully. I believed it was the wisest course of action. I suspected the implant might facilitate tracking, though I remained uncertain. I had hoped otherwise."
"And you were prepared to jeopardize my safety?"
"I believed I was safeguarding you, Scully. The cancer. I yearned for your cure."
"Sometimes, the remedy can be more perilous than the ailment," she responded.
He knelt beside her, tenderly stroking her hair.
"Cease," she said, attempting to recoil. She sat up, crossing her arms defensively. Her face throbbed anew. "What did you do with the implant?"
"It's in the river. They won't trace it back to you."
"But they won't cease their search, will they?"
"No. We must evade, hide. The boys prepared these for us."
Mulder presented her with a padded brown envelope. Inside were passports, credit cards, driver's licenses, and bank accounts, all under the name of Mr. and Mrs. Fletcher, with their photographs. Mulder had indeed considered every detail. Did he foresee this scenario?
"This isn't entirely within the bounds of the law, is it?" she asked.
"Do you prefer legality or survival, Scully?"
"I prefer survival. But we can't evade indefinitely, Mulder."
"We can attempt to," he said, as they drove through the night in a hired car, using their assumed names. Mulder wished to take her to a hospital, but Scully refused. They couldn't discern which hospital might harbor spies working for Dr. Haroldson. Scully wasn't willing to take any risks that he could locate her again.
Uncertainty clouded my mind, yet one thing was clear: remaining in Washington was not an option. Leaving the country was our best course, but air travel would likely be monitored. A sea voyage seemed our only recourse, though ports too might be watched. Their expectations held little sway over me; evasion was our paramount concern.
The surreal nature of our situation left me hoping to awaken from this bizarre dream. I longed to be Dana Scully, the special agent, not an alleged member of a mythical race. No marriage to Mulder, no cancer, no abduction—such was my wishful fantasy. Yet, reality held firm, and acceptance was a struggle.
Our journey continued in an uncomfortable silence, the kind that grows heavier with each passing moment. Tears streamed down my face, stinging my already sore skin. I turned away from Mulder, unwilling to bear his pity.
As dawn approached, we reached the bustling docks, streaked with hues of orange. Passenger ships seemed scarce, with most vessels carrying various cargo. It dawned on me that Mulder's plan involved us becoming that cargo.
Mulder assisted me onto the gangplank of a grimy, rust-ridden ship. Its durability was questionable, as was our destination. An unkempt sailor led us to a dim cabin, devoid of windows or portholes. Two filthy bunks with mattresses awaited us, but no blankets or pillows offered comfort.
"Unwell," Scully admitted, yet she knew that reclining on the grimy bunks would not alleviate her discomfort. Her health had been deteriorating since her escape from Haroldson's basement. What pharmaceuticals had he administered?
"You should have allowed me to take you to a medical facility," Mulder offered, embracing her. She recoiled, putting distance between them.
"Scully, what's wrong? Why do you shy away from my touch? Did he... harm you? Did he... violate you?" His voice faltered on the final word.
A tense silence ensued as they regarded each other, as if seeing strangers. Scully was unsure of her feelings, questioning even her understanding of Mulder, let alone herself.
"No, Mulder. He didn't violate me. But he... did other things." She hoped he would not press for more details, uncertain she could maintain her composure.
The ship's engines roared to life, slowly pulling away from the dock. Scully felt unsafe, a stark contrast to the security she once found in Mulder's presence. His recent revelations had shattered that trust.
Mulder had been concealing the truth all along.
The voyage was largely uneventful, but Scully suffered from seasickness almost continuously. She rebuffed Mulder's attempts to console her, despite knowing his desire to do so. She found no interest in his conversation, questioning why he had waited six years to reveal her Eloin heritage. Had her parents been Eloin and unaware? It was possible, given her own ignorance until Mulder's disclosure. But why had he waited so long to share this truth?
The vessel reached Ireland's shores roughly a fortnight after its departure, to Scully's relief. She and Mulder had been in each other's constant company for weeks, and she yearned for some personal space. The close quarters had begun to feel stifling.
"Our destination?" Scully inquired as they left the Rosslare docks. Mulder had rented a car, but remained silent until they were seated inside, with the windows securely shut.
"I own a farm," Mulder revealed. Scully let out a hearty laugh.
"A farm? Now that's something I'd love to see!"
"Why the surprise?" Mulder asked.
"I simply never imagined you as a farmer, that's all," Scully explained.
"Well, I don't actively manage it myself. I have a couple, Angela and Pat, who run the day-to-day operations. We share the profits," Mulder clarified.
"Ah, an absentee landlord, then?" Scully teased.
"Not quite. Angela and Pat enjoy the benefits and decision-making power of ownership, but I bear the financial risks. It's a mutually beneficial arrangement," Mulder explained, his gaze fixed on the road ahead.
Scully leaned back in her seat, her eyes fluttering closed. As twilight approached, she felt utterly exhausted. Her seasickness showed no signs of abating, and worry gnawed at her. No one knew their whereabouts. Her mother would be frantic with worry, and Bill... it was best not to think of him. And their jobs - what would they tell Skinner?
She was on the verge of a light doze when Mulder switched off the engine and applied the handbrake.
"We've arrived," he said softly.
Upon exiting the vehicle, two canines approached, barking animatedly and attempting to leap onto the newcomers' chests. Scully gently patted one, feeling a pang of longing for her late dog, Queequeg, who often mitigated her solitude. Pat and Angela emerged to investigate the disturbance, as twilight descended. Scully discerned a tall, elderly man with silver hair embracing a shorter, stouter woman who exuded a maternal warmth.
"Fox!" Angela cried, enveloping Mulder in a hug that spoke of profound affection, a display that stirred in Scully a pang of envy for Mulder, who had seemingly known less warmth from his parents. Pat lingered by the door, scrutinizing Scully.
"And who is this lovely young lady?" Angela asked, releasing Mulder, who appeared somewhat flustered.
"This is Dana, my wife," Mulder replied, wrapping an arm around Scully. Though she felt like an object on display, she remained still to spare Mulder embarrassment.
Two small figures then charged towards Mulder, their curiosity evident as they looked from him to Scully. She couldn't help but smile at their youthful exuberance.
"I'm Dana," she introduced herself.
"I'm Tommy," the boy declared.
"And I'm Siobhan," the eldest girl added, around eight or nine years old.
"And that's Kate," Siobhan pointed out, indicating her younger sister, who had timidly hidden her face against Mulder's leg.
"Kate's the baby," Tommy asserted.
"I'm not! I'm big! I'm four!" Kate protested.
"Enough now!" Angela intervened, her voice stern. The children fell silent, as if a switch had been flipped. She turned to Mulder and Scully, her face softening into a warm smile.
Angela suggested, "Why don't you both freshen up before we have dinner? Fox, please show them around." She added, with a smile, "I must say, I'm surprised you didn't inform us of your visit and marriage, Fox. I expected better from you."
Mulder simply replied, "It's a long story."
"It usually is," Angela responded, ushering them upstairs. "There's plenty of hot water waiting."
Scully felt like she'd stepped into an alternate reality, this being Mulder's genuine family setting. Upon seeing the single double bed in the room, she glanced at Mulder, recalling their last shared bed was at Haroldson's. Did he feel as awkward as she did?
After freshening up, they joined the Malone family for dinner. The Irish stew was exceptionally satisfying, followed by homemade rhubarb crumble and custard, with enough food to feed a small gathering.
Post-dinner, Mulder joined the children on the floor, engaging in a game of'snakes and ladders'. Scully watched him, a sad smile on her face. She'd never seen him so content, so carefree, as if he truly belonged there, surrounded by adoring children. She remembered his warmth with Emily, feeling the familiar, unhealing ache in her chest.
As bedtime approached, the children refused to part from their 'uncle' Fox, asking him to read them a bedtime story.
No solicitation came from Kate; she merely embraced her small, tattered doll, gazing fixedly at the flames. "Would you like a tale as well?" Scully inquired, extending her hand. To her astonishment, Kate grasped it firmly. Once the young ones were secure in their beds and asleep, Mulder and Scully deemed it time for them to retire as well, having traversed a lengthy journey that demanded rest. "No need for concern, Scully. I shall take the floor," Mulder offered. "Nonsense, Mulder! We are both grown adults. We can still share the same bed. You appear weary, and you require a good night's rest, which you won't find on the floor!" Scully insisted. "Always the physician, Scully?" he retorted, proceeding to the bathroom. Upon his return, Scully was already in bed, clad in red pajamas, with the covers drawn up nearly to her chin. She felt the bed shift as Mulder entered, but he maintained a considerable distance, ensuring not the slightest contact between their bodies. This, she mused, was their life now: unfamiliar beds in unfamiliar houses, alone in those beds, ever vigilant, evading Haroldson. Always fleeing, yet never truly escaping. Mulder succumbed to sleep first, his breaths growing slow and steady. She wished for such ease. It seemed an eternity before she too drifted into a restless slumber. Something stirred her before dawn, but she couldn't discern what. Mulder's breaths were now rapid and irregular, and he began to toss and turn violently. "Sculleee!" he cried out. Another nightmare. She enveloped him instantly, rocking him gently like a child.
"Hush now, it's alright," she murmured, pressing a tender kiss onto his hair. His head rested within the cradle of her bosom, and as he stirred, he sought out her left breast, nuzzling it through the fabric of her pajama top. Scully stiffened, at a loss for what to do. He seemed to be in a state of unconsciousness, yet her body responded with a fervent awareness. A throbbing sensation pulsed between her thighs, accompanied by a surge of warmth.
She attempted to suppress a moan, but it was futile. Mulder's lips were evoking exquisite sensations within her, but the situation was inappropriate. She could not permit him to continue, knowing he was asleep and unaware of his actions.
"Mulder," she whispered softly.
He stirred, looking up at her with groggy eyes. "Huh?" he responded, before swiftly recoiling from her, realization dawning on his face. "I'm sorry, Scully. I knew we shouldn't be sharing a bed," he muttered, making his way towards the door.
"Wait," Scully called out, louder than she intended.
"Why? So you can chastise me for being a lecher, incapable of controlling myself even in sleep? I'm already aware of that, Scully. You needn't remind me!" he retorted.
"Mulder, will you simply listen to me for once?" Scully implored, rising from the bed and approaching him at the door. She positioned herself close to him, without actually touching him. Mulder waited, his eyes curious as she hesitated.
Instead of speaking, she took his hand and placed it firmly on her breast, guiding it to squeeze with her own hand. He had no choice but to comply. He groaned, attempting to withdraw his hand, but Scully's unexpected strength kept it in place.
"Scully! Ahh...you have no idea what you're doing to me!"
"Yes, I do, Mulder," she responded, her other hand caressing his arousal through his boxers. Summoning unexpected strength, he released her hand, then grasped both her wrists, holding them above her head, as his lips passionately claimed hers.
"Is this what you desire?" he asked, breathless, guiding her towards the bed. Scully could only nod in response, feeling a potent mix of longing and trepidation. She had witnessed the fury in Mulder's eyes and knew he could inflict harm if he chose to.
Yet, once they were on the bed, his touch was tender, his lips exploring every inch of her, and she felt she might faint from the sheer pleasure. It was Mulder, her husband, making love to her as if she were the sole woman in existence, and nothing else mattered but them and this moment. She felt herself soaring, higher and higher.
Mulder was there with her, and they reached their climax in unison, a symphony of moans. He collapsed onto her, spent and drained.
"God, Scully! I love you so much!" he exclaimed, and she felt his tears mingle with the sweat of their lovemaking on her chest.
"Mulder, I love you too. I always have, and I always will," she replied. He looked up at her, and she reached out, wiping away his tears.
"I understand now that you must have had your reasons. No matter what you've done, or will do, I know that you love me. And I will love you. Forever."
"But I don't deserve you, Scully! Look at what's happened to you because of me? Why do you love me, Scully?"
"Your uniqueness makes you irreplaceable; I am incapable of loving another as I love you." The subsequent weeks melded into a whirlwind, with both parties contributing to the farm's upkeep. Mulder dedicated his days to working the fields alongside Pat, while Angela instructed Scully in the art of cheese and butter production within the dairy. Initially, Scully found the manual labor unexpectedly satisfying. Mondays were reserved for market days, with Angela transporting their dairy products for sale. Their evenings were spent in conjugal bliss, each encounter feeling as novel and exhilarating as the last. Mulder's reluctance to expose their relationship beyond the Malone family confines led Scully to spend a Monday baby-sitting Kate. The young girl's fascination with Scully's fiery hair was evident, as she clutched her rag doll protectively, mimicking maternal instincts. "Would you like to hold Emily?" Kate inquired, extending her doll towards Scully. Scully's heart tightened; she fought back tears, refusing to succumb to her emotions. "Emily?" she whispered, her voice barely audible. "My doll," Kate clarified, presenting the toy as an offering. Scully's desire was not for a doll, but for a living, breathing child - her own child, a child who would not be taken from her. She wept for herself, but more so for Mulder, having witnessed his affinity for children. She yearned to give him the family he desired, a happy one to counteract the memories of his troubled past. The possibility of providing him with this had been cruelly snatched away, leaving her with a profound sense of loss, as if her memories and identity had been similarly stolen.
"Dana!" Kate's anguished cry pierced the air, her eyes welling up with tears. Scully, engrossed in her thoughts at the table, looked up and felt her stomach churn. A dark figure loomed behind Kate, its tendrils reaching out towards the child.
"No!" Scully shrieked, jumping up from her chair. "Kate, run! Run now!"
Yet, Kate remained frozen, her gaze fixed and unblinking. The shadow morphed into a solid form, revealing Haroldson.
"Well, well, isn't this a surprise," he sneered, turning to Scully. "I didn't expect to find you here, though I should have. After all, every child knows its parents, and a wise one knows both."
"What are you implying?" Scully asked, a chill running down her spine.
"Oh, come now, Dana. You must have noticed the resemblance. The fiery hair, the striking blue eyes? Did you think we only created one? You're not that gullible, are you?" he taunted.
"Kate? Kate is... my daughter?" Scully felt her knees buckle, wishing she could wake up from this nightmare.
"We require her for our plans. And you can't stop me from taking her."
"No! I'll do anything, just leave her alone!"
"Too late for that, but perhaps there's another way..." he mused, and suddenly, Scully's vision shifted. She was no longer in the farmhouse, but in a field where Pat and Mulder were working. Pat was driving the tractor, pulling a plough, while Mulder followed behind, planting potatoes. Suddenly, the tractor screeched to a halt, reversing unexpectedly.
Scully, riveted and horrified, recognized the impending danger but her vocal cords failed her, leaving her mute as Mulder's feet slipped in the mud, causing him to tumble. A harrowing scream echoed from Mulder as the plough severed his arm, blood spraying into the air like a crimson fountain. Scully collapsed to the floor, her stomach churning, acutely aware of Haroldson's menacing presence.
"Well, Dana," Haroldson taunted, "Mulder's life for Kate's?"
"I can't make that call!" Scully cried, tears streaming down her face.
"No? What about the life of your unborn child? Mulder's for Kate's?"
Scully stared at him, then, unprecedentedly, she lost consciousness.
Upon regaining consciousness, Scully found herself on the sofa, Mulder anxiously by her side.
"Mulder!" she exclaimed, sitting up too quickly, feeling lightheaded.
"It's alright, Scully. Shh." He held her close as she wept uncontrollably, fearing Kate's fate, especially as she reached child-bearing age.
"We must find Kate! Haroldson took her!"
"Kate's safe. She's outside playing."
"But Haroldson? Was he here? Or did I imagine it?" Scully's memory was hazy.
"Yes, he was here."
"Why didn't he take Kate? I fainted, I couldn't protect her!"
"Kate protected herself. Haroldson is dead, Scully. I shot him."
"But how did you know he was here?"
"Kate and you, it seems, have a shared connection. I intercepted your thoughts while I was away; they were chaotic, but 'help' and 'danger' stood out. Given Haroldson's involvement, I hastened back. I found you on the ground, and Haroldson was about to lift Kate. His gaze was chilling, like gazing into the abyss of malice. He won't harm anyone again."
Scully inquired, "What about the authorities?" She doubted the shooting of an unarmed man would be swept under the rug, even with Mulder's FBI status.
"The local police have been and left. To them, the case is closed. Haroldson had numerous aliases; he was wanted in Ireland, Europe, and America for multiple kidnappings, all involving young girls. I've spared them a trial and saved Kate. I'm something of a local hero, Scully. How does it feel to be married to one?"
Scully managed a weak smile. "It feels... remarkable, Mulder. Can we go home now?"
"Yes, we can go home," he said, kissing her forehead before leaving her to rest.
EPILOGUE
"Where is he?!" Scully cried out as another wave of pain hit. He should be here, not chasing after... whatever it is he chases. God, the pain! How could something supposedly natural be so agonizing?
"He'll be here, Dana, don't fret," her mother soothed, wiping Scully's brow with a cold cloth. "Focus on the baby. Don't upset yourself."
Focus on the baby? She'd been in labor for eighteen hours; that was all she could think about! And Mulder. Why wasn't he here with her, supporting her through this?
Medical professionals entered her room at regular intervals of fifteen minutes, only to depart after relaying that her labor had not advanced further. She remained at five centimeters dilation, a state that seemed at odds with the intense pain she was enduring. Her grip on the bedsheet was so tight that her knuckles lost their color, as if she were experiencing a form of physical disintegration. The contractions felt like a relentless vice around her abdomen, a sensation she had not anticipated.
Initially, she had been skeptical of her pregnancy, questioning Haroldson's veracity. It was not until several weeks of morning sickness that she finally accepted the reality of her condition. The medical team was equally puzzled by her pregnancy, given their previous assessment of her infertility. Agent Mulder's theory that she had somehow reversed her condition was as plausible an explanation as any, but at that moment, her primary concern was Mulder's whereabouts.
She gasped for breath, attempting to navigate the cresting waves of pain that threatened to consume her. The world around her seemed to recede, leaving only the raw, primal agony. She wondered how much longer she could endure this ordeal. Modesty, once a concern, now seemed trivial in the face of her desperation. She yearned for the baby's emergence, crying out, "I want Mulder!"
As a brief respite from the contractions arrived, her thoughts turned to Mulder, envisioning him in peril, leaving her alone to raise their child. This prospect filled her with dread. Then, a voice pierced her thoughts, "I'm here, Scully." Her head snapped up, and she unleashed a torrent of emotion, "YOU BASTARD! WHERE HAVE YOU BEEN?" Her mother, present in the room, looked taken aback but said nothing, quietly exiting the scene. Mulder's response was unexpected, "You're not going to believe this, I was stuck in an elevator."
"An elevator?" Scully exclaimed, as another contraction surged. She clutched Mulder's hand, her grip tightening as she felt the intensity build. His knuckles cracked, but he remained silent, absorbing her distress.
"Oh, Mulder! I feel the urge to push!"
"Not yet, Scully. I'll fetch the doctor."
"Don't you dare abandon me again!"
"Alright, alright. Breathe, Scully, breathe."
Scully shot him a glare, her eyebrow arching in skepticism. Did he truly believe she didn't know how to breathe? She'd attended all the necessary classes, unlike certain others. Mulder pressed the call button beside her bed, but no response came. Was there a sudden baby boom?
"Mulder," she panted, "You're going to have to assist."
"Me? But I'm no expert on babies!"
"Just help guide it out. My body knows the rest. Mulder, hurry!"
The urge to push was overpowering, she yearned for it to be over. She was weary, hungry, and in pain, longing for the comfort of home. Mulder positioned himself between her legs, then looked up, his face alight with wonder. "I can see the head, Scully! Our baby!"
"Alright, Scully, push!"
"I am pushing!" she grunted, finding the process exhausting and needing frequent respite between contractions. Sweat dripped from her as she eagerly anticipated a post-labor shower. Suddenly, the head emerged, swiftly followed by the rest of her baby. Mulder gently placed the infant on her stomach, tears streaming down his face. "It's a girl, Scully. A gorgeous baby girl!" The baby's first cry was a symphony of joy.
"I think she's hungry!" Scully laughed, elated.
Upon entering the room, the nurse exclaimed, "Well, it seems little Mulder couldn't wait for the doctor's arrival! She's already made her grand entrance." Smiling, she gently took the newborn from Scully's arms. "I'm just going to let the doctor examine her and give her a quick clean-up," she explained, noticing Scully's anxious expression. "Why don't you take some time to freshen up and then you can nurse her?"
Scully, still somewhat dazed, murmured her agreement. "Mulder, could you assist me to the shower, please?" she asked her partner.
"Of course," Mulder replied, never leaving her side.
Once Scully had washed, dressed, and was comfortably settled in a clean nightgown, cradling her contentedly fed daughter, she felt ready to receive visitors. Mulder had been her constant support since their daughter's birth, and she was grateful for his presence.
The room soon filled with their loved ones: Scully's mother, Bill and Tara, Walter Skinner, and the Lone Gunmen – Langly, Byers, and Frohike. Skinner, eager to know the child's name, asked, "Have you two decided on a name yet?"
Mulder and Scully exchanged a secretive, knowing smile. "Yes, we have," they said in unison, drawing out the anticipation.
"Well, what is it?" the group demanded in chorus.
"Verity," Mulder and Scully announced together, their faces radiant with pride and love.
THE END
As a side note, the name Verity indeed holds significant meaning, as it is derived from the Latin word'veritas', meaning truth. It seems an apt choice for the child of Mulder and Scully, given their lifelong pursuit of the truth.</s>
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<s> I've searched and come up with instructions for adding an audible alarm to an EZ Steer, but have been unsuccessful in finding instructions for an audible alarm just for a 500 and EZ Boom. Reason it's needed is because sometimes at higher rates, or when using the smaller tips instead of changing them when we're running a borderline rate, we outrun what the spray system can apply. It alarms across the bottom of the screen, but sometimes that doesn't get noticed quickly enough. Presumably there's an alarm signal on the DB9 connector on two pins on the back of the EZ Guide 500, but does anybody know for sure? And which pins?</s>
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72,
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6826,
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3098,
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1367,
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1348,
24210,
59342,
4932,
1385,
1358,
5616,
32350,
11351,
1930,
11138,
11715,
72,
30864,
59328,
10487,
1377,
1766,
5537,
1385,
7103,
26425,
1698,
1384,
72,
1417,
4697,
1377,
38704,
1733,
1554,
30123,
1748,
1842,
10914,
72,
4612,
10064,
1615,
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3053,
3126,
2192,
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1972,
6986,
2405,
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1410,
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3221,
2068,
1457,
3375,
1410,
1891,
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1450,
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72,
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2538,
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1431,
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1401,
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1457,
4079,
59361,
59323,
20335,
21770,
1349,
5845,
72,
1493,
9508,
2192,
4538,
57124,
1982,
1441,
7386,
1520,
7451,
8559,
1384,
44904,
72,
2738,
1417,
3671,
17354,
1358,
5059,
2676,
2055,
1457,
72,
21763,
59342,
1449,
1982,
8027,
1348,
21770,
1533,
28589,
1377,
1615,
14286,
1508,
3679,
1348,
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5410,
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4738,
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1573,
1843,
2086,
1377,
1348,
2596,
72,
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1751,
1441,
3642,
1385,
1458,
1865,
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59320,
63,
14367,
15090,
6633,
59338,
2261,
16562,
1600,
1426,
9736,
2405,
18145,
28589,
1743,
53008,
1508,
44480,
26425,
1698,
72,
1496,
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1536,
5091,
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59320,
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1358,
13979,
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1523,
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1533,
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1410,
1433,
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1712,
2100,
3778,
1379,
1452,
3418,
1783,
59342,
2270,
59324,
72,
1826,
19309,
1385,
1358,
13964,
1379,
5845,
1525,
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47239,
2070,
1707,
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2237,
27013,
72,
2442,
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2362,
4201,
28589,
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2286,
1580,
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13940,
72,
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26560,
2728,
1733,
1433,
2231,
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2271,
5726,
4450,
72,
1507,
2940,
1385,
51128,
1615,
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5845,
1410,
1385,
1933,
5208,
1615,
10293,
59361,
59328,
1496,
7688,
72,
7954,
1421,
1348,
4802,
1574,
19959,
5666,
1358,
8093,
19182,
1385,
1748,
14786,
1379,
1348,
21770,
1349,
28589,
1377,
14286,
1508,
33454,
4738,
72,
26094,
8913,
1508,
19840,
16969,
1571,
2144,
1368,
9508,
63,
5153,
4538,
5845,
1696,
2024,
8522,
9337,
1385,
1348,
34505,
28589,
2286,
1441,
1525,
33779,
1508,
8559,
53350,
1457,
1449,
1982,
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5254,
72,
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1417,
2424,
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59323,
2629,
1417,
1580,
4964,
9712,
1358,
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1381,
4948,
2560,
13530,
1385,
1467,
3870,
1385,
6986,
2405,
18105,
72,
5312,
1568,
31326,
1982,
2661,
1358,
2071,
1379,
1348,
1397,
13449,
1426,
2445,
28589,
1379,
18807,
59347,
1508,
1458,
1617,
37911,
1426,
59324,
1593,
1598,
2212,
28589,
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72,
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3482,
4497,
1457,
1449,
1580,
1796,
1358,
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24237,
2911,
2192,
13078,
1972,
21770,
1349,
5845,
1410,
1385,
2314,
1348,
1594,
4765,
72,
1417,
1368,
1522,
2302,
3651,
1348,
2676,
1384,
2362,
4022,
72,
1507,
1865,
63,
1946,
1371,
9645,
1421,
1368,
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63,
5153,
4538,
6826,
1464,
1410,
10085,
6116,
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4934,
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1358,
2717,
4503,
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1525,
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16969,
1449,
10953,
72,
1496,
28937,
12546,
1358,
4114,
59342,
1358,
28913,
59361,
59328,
58559,
14619,
1554,
2003,
1458,
9568,
7919,
4802,
1574,
1377,
1807,
21770,
1349,
2473,
72,
2023,
12295,
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28589,
59342,
2042,
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34087,
72,
1709,
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57105,
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36603,
1982,
3382,
16021,
16562,
1600,
3046,
53008,
3046,
54801,
3046,
3310,
2545,
3046,
9377,
2262,
20380,
3046,
44480,
32967,
1384,
21837,
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3239,
72,
2522,
1457,
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59342,
2192,
14103,
1368,
8020,
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3255,
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1835,
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2760,
72,
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2608,
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4729,
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1358,
20512,
59342,
1476,
1571,
1441,
4427,
59342,
13548,
59342,
1508,
28589,
1972,
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2405,
18105,
72,
4502,
1875,
2885,
1385,
3193,
1410,
1358,
7816,
11057,
72,
1646,
3002,
1385,
2560,
55814,
7689,
1434,
36670,
1371,
1384,
49351,
1959,
59342,
1476,
1410,
1751,
2362,
17229,
72,
7484,
1348,
23994,
59342,
44211,
1358,
14792,
1379,
1358,
16494,
1450,
5349,
51960,
1384,
38378,
72,
7864,
3126,
2524,
1358,
24237,
19182,
1510,
72,
9768,
35736,
4151,
1531,
1450,
26473,
1457,
1766,
27945,
2192,
13078,
1972,
21770,
1533,
72,
57105,
1349,
5845,
1410,
4512,
1520,
1358,
25317,
1379,
12824,
6190,
2303,
1377,
2319,
3049,
1384,
72,
1507,
2800,
1410,
1348,
10782,
2381,
1379,
3217,
4572,
72,
19841,
48278,
2192,
13078,
1972,
59799,
5845,
72,
59320,
59362,
2518,
6102,
2522,
17198,
57105,
1349,
5312,
13078,
72,
1900,
1410,
1348,
8093,
19182,
5666,
1348,
12180,
59361,
59328,
15980,
1510,
1348,
9952,
72,
2522,
1510,
3999,
59320,
59349,
59370,
4680,
2104,
1580,
1843,
1573,
10064,
1458,
18121,
46219,
2744,
5532,
72,
2442,
1615,
4641,
4079,
59361,
59323,
1675,
3375,
1835,
1476,
2352,
4462,
59342,
1449,
1571,
2314,
1520,
16901,
1384,
3716,
2054,
2024,
1828,
3376,
72,
1573,
13089,
3569,
72,
1507,
4279,
1379,
28589,
1449,
13387,
1377,
1615,
14935,
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] |
<s> Poop Smells Like Sewer Gas
If you smell propane in your rig, you'll want to get out right away. The smell varies, all depends on weather your up or down wind. 2) After a septic pumping, it will smell like rotten eggs, also known as methane gas, which will dissipate after a half hour. On the flip side, too much fiber can have the opposite effect. Remove the grate that covers the opening and make sure there's a plug inside the drain bowl. 1) "Stinky Sock Syndrome" - called that for obvious reasons but with heavy growth can go septic and smell like a sewer, from heavy buildup of fungal growth and/or mold on the evaporator coil in the ducting, usually located a few feet "downflow" from the furnace - or in a separate air handler on the heat pump in a heating and cooling combined heat pump system like you evidently have. I've been told the smell is being circulated through the house through the vents but that the heater is not the problem. Sewer gas smell from bathroom sink. Sewer gas is a byproduct of decomposing organic material AKA, the sewage (poop) in your septic system or sanitary sewer system. That condensate line should drain outside and be trapped. Sewer gas anxiety was a fertile field for health hucksters, who marketed all manner of devices guaranteed to eradicate the mephitic air. Bowel movements smell like sewage two year old daughter has fallen asleep tonight and has had a bowel movement of what can only be described as a black tar like stool that smells like Hi Doc very concerned when I do use the bathroom to do a bowl movement it smells like a skunk and even when I pass gas this has been going on for like 2. There is this family diner a few miles from my house. If you smell a "rotten-egg" odor, this is hydrogen sulfide gas. Pills such as Percocet or Oxycontin emits a certain degree of sweet smell when they are burned. Saying that a vile smell was "like sucking puss out of a festered wound" does not actually describe the smell as such, but pulls on so. My washer smells like rotten eggs. Toilet on a Septic Tank Smells like Sewer Gas If a toilet connected to a septic tank smells like sewer gas, it means the septic tank is either full or the drainpipe to the septic is clogged. Blood in your stool and infection will make it smell like death. Detecting a sewer smell in your house is never pleasant on a number of levels. Life is good but my poop smells really horrible. I opened the door. What can I do to stop this, it could be more like rotten eggs, the smell, but it reminds me of poop. since were all coming clean, I have (not anymore) ordered special underware that baggie style that has a liner with a charcoal filter that when you cut the cheese in public it filteres the smell. Others think it smells a bit more like old rancid buttered popcorn. Pouring an enzymatic chemical down the floor drain that eats bacteria on a regular basis to control the smell of sewer gases. If it has an unusual smell, you should speak to a GP, according to the Lahey Hospital & Medical Centre. Chemicals vary in their ability to produce odors and. I live in AZ so we hardly get any rain. Noticing your plant pot water smells like rotten eggs is a sure sign that something is amiss with the plant. Because carpet is so absorbent, it tends to hold onto the pungent smells from spills, accidents, and smoking. Even a gentle breeze works with the dynamically engineered shape of the cyclone to create a powerful vortex that pulls odors up and away. Im almost 30yrs old, female and living in the UK. They say that a fox can't smell his own hole but my hole is so smelly these days that even this old fox can't stand to be in it. Rather than running the risks of the health concerns that often accompany these foul smells, like sinus infections, bronchitis, and headaches, put a stop to intrusive smells by learning how to. Stink Bombs and Fart Spray Pranks Just Got Better For many years, Stink Bombs and Fart Spray have been the only stink prank products on the market. " Why does my cat smell like poop?" is a question, which has been asked most often by cat parents among consulting groups and on the net. Re: Smell from Sewer Ejector Pump; Author: packy (MA) don't bother to clean the sewer ejector tank, that won't eliminate sewer gas. Foul smelling stool may be caused by poor diet and digestion. And I feel sick the whole day after that. Sometimes, you may notice a sewage smell in your bathroom or near a sink, especially if the room has not been used in a while. It may also be due to an overgrowth of bacteria - bacteria produces hydrogren sulfide (rotten egg smell), ammonia or sulfur odors. " In this April 12, 2018 photo, Mayor Heather Hall discusses the nearby train that was loaded with tons of sewage sludge that is stinking up her community of Parrish, Ala. It refers to the passing of gas from the digestive system out of the back passage. If there's a very strong smell, you could have a substantial. Yo Momma so stank, she uses Dr. The key to decoding your baby's gas is to first identify your baby's "normal. Check for a cleanout plug inside the floor drain to get rid of a sewer smell in bathroom or laundry room. Greasy or fatty foods can make foul-smelling gas but what generally leads to a metallic smell could be from supplements or diet pills that you may be taking. But I don't think I have ever heard the smell of cockroaches being referred to as similar to rotten eggs. Smell origins may take the form of a noun (the smell of leather) or an adjective (a leathery smell). The final option that you have if the bathroom sink still smells like sewer gas is to call a plumber. I fart many times a day and very often. The over-arching theme for foul-smelling poop is malabsorption, says Sonpal, which occurs when your body's unable to absorb the proper amount of nutrients from the foods you eat. " Upon selling the house, the buyer's inspector noticed we had an uncapped cleanout in our sewer line. Unbelievable smell, just unbelievable. [1] Sewer gases may include hydrogen sulfide , ammonia , methane , esters , carbon monoxide , sulfur dioxide and nitrogen oxides. For that reason, smelly farts can say a lot about your inner health. Even so, on those rare days when something comes out of the tap, it can be red, yellow, or smell like rotten eggs. One other place to check is the vent stack. In addition to being horrifyingly embarrassing and nauseating, it is also very dangerous. Using a brush, scrub the walls of the tank with white vinegar and flush. Run water down the sink drain at. Many homeowners contact us with complaints that their toilet smells like sewage. Sewer gas is created by the decomposition of waste materials found in both public and. The following is a comprehensive list of treatment options. Gas stove smells like… gas. 3 Reasons For Those Sewer Smells. This is a floor drain inside a Men's Room at a hotel. For at least 24 hours people have been noticing an unusual odor popping. If your super won't do something about it right away, you can call bylaw and ask them what they suggest. not cheap either. The kind of smell you taste in your mouth. Sometimes sewer gas will travel up the pipes and come out the other end. As soon as the sun comes up the smell goes away. " But a lot of people have. The sewer access pit is the first place to check, and maybe the last place most people look. the only reason the smell exists is that the soil pipe is venting into the bathroom make sure that any open ends are blocked and that all the fixtures have bottle traps on them as this stops any smells coming up the pipe by the way of a water trap. A Septic Tank Gone Awry. It is a colorless chalcogen hydride gas with the characteristic foul odor of rotten eggs This is a floor drain inside a Men's Room at a hotel. If you still hear trickling in the walls or overhead, that sustained flow through your plumbing's system could be a result of leaks in the sewer pipes. Sewage is full of contaminants, viruses and bacteria that pose a serious threat to people and their pets. So, this may lead to explosions in your home. Maintenance. Google the Institute for Functional Medicine and click on their "Find a Physician" link to find a like-minded doc in your area. I know the clear water tank doesn't, or at least should't smell but I put one on to keep debris. My problem is that for the past six months, my house smells like a sewer every time the heat (or AC) kicks on. To be specific, hydrogen sulfide gas creates the unpleasant smell. Methane Gas. Basement smells like sewer when it rains You most likely have a water trap somewhere that has dried out due to the lack of use. if you have an old cat who's never had a dental, go smell its breath. Poop may smell different due to changes in your diet. I smell like sulphur. That air will go out of the system the easiest way. Normally, the gases are carried up and away from the system's vent pipes. Sometimes, the bathrooms at the school smell like that, and indeed, it does smell like poop, so to speak. The smells above, which are strong and often apparent are associated with meth labs, but when meth is smoked, it tends to have a lighter, more subtle and almost sweet smell. You cannot get away from the smell!. So if either the drain or the vent are clogged, then there is no place for the water to go without first forcing the air back into the room, which is combined with sewer gas. The light was off, and it was black. Dry drains are one of the top reasons why there is an odor in the house from a septic tank. Your water may smell like sewage due to the presence of bacteria that come from food, soap or other materials sitting in your drain Fortunately, a sewer smell in your house is something that you can do something about. I like to eat hot and spicy chicken, when in remission like I am now, but, and I know this sounds gro. Liver related disease. Toilet Smells Like Sewer Gas Steven Symes Pin Share Tweet Share Email Sewer gasses not only smell unpleasant, but they can also be toxic to humans. on Mar 16, 2015. We have had it for about a week. And it comes strong, then is gone within 30-60 seconds. The same goes for smell changes of urine, stool, sweat, or other bodily fluids. on Oct 31, 2015. (Photo courtesy of Angie's List member Marc E. If not that then please get to your doctor for an examination and testing. Others think it smells a bit more like old rancid buttered popcorn. This article looks at eight reasons why a person's stool might smell particularly bad, as well as. Some say that people possessed by demons also give off this putrid smell. I Can't Get Rid of the Sewer Smell in My Basement, Basement Smells Like Sewage. Sewage smells like sewage. Blood in your stool and infection will make it smell like death. Possibility number 1 is propane. it kinda smells like that, but worse. If it doesn't smell like sewage outside your apartment then you are getting sewer gas back into your dwelling. Dead mice can create a lot of stink for a little body. Why does my sump pump smell when it rains? Sump pumps run the most after big storms, if your basin only smells after it rains it means your pump has too much power and is over draining the basin. man, dog, house). However, houses often have odor problems in various ways. But for some reason a few minutes ago I smelled sewer. Learn about the common causes nasty sewer smells emanating from your septic tank and. Sewer smell in house from loose or ill-fitted sewer trap plugs. Sulfur is often the first smell humans and pets will notice if a mouse has died in your home but is not visible to the naked eye. If it's not air gapped, then there's nothing prevent sewer smell from coming back in through the dishwasher's drain. Together these two properties can help you get rid of burps that smell like rotten eggs. One of the most foul-smelling substances is hydrogen sulfide (H 2 S), which has a characteristic rotten-egg odor. Often the sewer smell is the result of ineffective Venting out through the roof. If the water smells like cucumber or sewage this is usually a result of iron and/ or sulfur bacteria. Google the Institute for Functional Medicine and click on their "Find a Physician" link to find a like-minded doc in your area. In a residential home, it exists in low levels and can occur if a plumbing problem exists. As a result, sewer systems tend to have designs that cutoff the escape of sewer gas. These may range from a sinus infection to a bowel blockage. 3) If the septic system smells like rotten eggs in the bathroom, this could be caused by a loose toilet gas ring around the. Custodians and cleaning personnel need to pour a gallon of water into floor drains like this at least once a week. Fill the sink about half-way full with hot water. The sewer access pit is the first place to check, and maybe the last place most people look. A regular sewer-gas smell is just a bad stink with a definite odor of feces and sometimes a rotten-egg (hydrogen sulfide) smell and/or a moldy mustiness too. But in order to get rid of it, you need to determine what kind of smell it is. While many things can cause this unpleasant odor, one of the most common is an issue with the p-trap. Composed of mostly methane gas, an odorless gas, the rotten egg smell comes from other gases. Stink Bombs and Fart Spray Pranks Just Got Better For many years, Stink Bombs and Fart Spray have been the only stink prank products on the market. Posted By: Lt46 on 06/05/11 07:58am Batteries can smell like sulfur when. I am a student, male, 16, who discovered this problem about half a year ago. A Septic Tank Gone Awry. Why does my RV smell like a sewer? If you bought a used RV and everything seems to be going well until you walk into your RV and there it is that horrible sewer smell. Diseases can subtly alter people's fragrance You have become lazy when it comes to picking dog poop from your backyard, delaying it for hours and hopefully, not days. How to prevent bad smells caused by fish poop. Greasy or fatty foods can make foul-smelling gas but what generally leads to a metallic smell could be from supplements or diet pills that you may be taking. If the sink trap dries, the sewer smell fills the room. In my experience, these are poorly designed and allow sewer gas to seep through. Sewer gas has an overpowering smell and is also toxic --even explosive in large enough quantities. Saying that a vile smell was "like sucking puss out of a festered wound" does not actually describe the smell as such, but pulls on so. So let's discount those theories and focus on sewage. Sewer gas is that rotten egg smell, is rather distinctive, and you should NOT have that odor. Sewer smell in house from loose or ill-fitted sewer trap plugs. When your house smells a bad odor - like sewage - it's leaking gas. Smells Like Poop. bugs, and rain from getting into my tank. It smells more like dead lizards, or dead frogs, or compost maybe. If there is some sewer gas getting into the AC, then it would push that into the house, then the smell would go away as quickly as the source stink went away, because the AC is circulating air. I opened the door. Try listening in the bath with the most odor when the machine starts to discharge. Now, when do weird or bad baby smells indicate a problem? There are many instances when a weird or bad baby smell may indicate a health problem. Besides the obvious unpleasant smell, the methane in sewer gas can actually be flammable in large quantities, and breathing it in can be hazardous to your health. Black stool isn't always due to a big problem. It may also smell like acetone, which is found in nail polish remover, or have a sulfur smell similar to rotten eggs. Odor will come through a dry trap. I Can't Get Rid of the Sewer Smell in My Basement, Basement Smells Like Sewage. It is the smell associated with dimethyl disulfide that tends to attract flies to a decomposing body. Namely, you should just let water through your shower drain, sink drain, toilet drain, and every other drain that you can find. This bloody stool will often take on a tar-like appearance and smell horrible, so if you suddenly poop a poop that's black and sticky and smells like something crawled up there to die but haven't. Sewer line breach Unfortunately, a bad smell coming from the sump pump could indicate more than stagnant water. Another possible cause. Besides causing unpleasant sewer odors, rotting waste and residue can lead to gases such as hydrogen sulfide, ammonia, and methane leaking into your residence. and today we gave him a bath and the smell is completely gone. Sewer gasses are not healthy for humans to breathe and can contain flammable methane gasses, putting everyone in the house at risk of a sudden explosion. Gas stove smells like… gas. If the toilet is one that no one uses regularly, the problem is likely due to evaporation of water in the toilet trap. At my house we had a strange sulfur smell too. The light was off, and it was black. Since tile is often installed in damp areas it is very common for mold to develop in the tile. That stench that's ruining your showers has got to go. Sewer gas smells tend to be stronger than other odors coming from the drainage system and smell like raw sewage. Foul fecal gases or flatulence indicate that food has not digested completely; rather, it has decomposed (rotted or fermented) in the gut. Breath smelling like poop is an embarrassing problem. One other place to check is the vent stack. Impurities can cause odor-causing molecules to form and build a foul-smelling film of scum inside your washing machine. But if your drain smells like rotten eggs or sewage, you're either smelling: "Biofilm" from a clogged or dirty drain or; Sewer gases that have escaped your drainage pipes. Posted By: actionpacker16 on 05/09/11 06:18pm Hi, any suggestion would be appreciated. It comes out smelly because of the many processes that happen in the digestive tract. Rather than running the risks of the health concerns that often accompany these foul smells, like sinus infections, bronchitis, and headaches, put a stop to intrusive smells by learning how to. If you are experiencing an electrical, burning odor, or gas smell, turn off the unit and call your HVAC technician right away. A sewer gas smell in your bathroom drains is more than just unpleasant; it can also be a health and safety hazard. "If you're unable to break down and digest certain nutrients, they rot and smell really bad on the way out," he explains. Natural gas is odorless. Learn about the common causes nasty sewer smells emanating from your septic tank and. Speaking of sewer gas, this is mostly methane. Meshelmarie50 is right, keep all the drain traps full of water. Over time, the water evaporates and the smell is allowed to escape. The off-gassing can also be toxic. Eventually, accumulated gas makes its way to through your intestines and out of your colon, just like feces. Try lifting the lid on the tank to see if the smell worsens. Hydrogen sulfide gas, is a powerful poison, and acid, that can cause immediate and permanent, or fatal lung damage, when in its pure form. it kinda smells like that, but worse Chloramines result from the combination of two ingredients: (a) chlorine disinfectants and (b) perspiration, oils and urine that enter pools on the bodies of swimmers. Im almost 30yrs old, female and living in the UK. "If you're unable to break down and digest certain nutrients, they rot and smell really bad on the way out," he explains. This sometimes is confused with the rotten-egg smell described in the box on page four, but it's less "eggy" and more like the smell of an outhouse or a portable toilet. Floor drains lead into the sewer. So if your gas or poop smells particularly pungent after you down some milk, you might want to check in with your doctor, says Dr. To verify a leak, White says to look for oil on the pavement or smoke coming from the engine area. I'm a master plumber as well as a builder and do phone consults each week for people that have sewer gas problems. Methane is an odorless gas that is produced as the microbes present in the dog poop consume and digest the poop as it decomposes. In addition to the smell, or maybe the cause, I found weird mold stuff growing down in the filter. I have used bleach before to clear the smells from my tank before too and for a while it works. Some I can discount out of hand like farts and sewage pipes ( it was on Little Round Top). Sometimes it includes a rotten egg (hydrogen sulfide) smell and possibly a moldy mustiness. For a while, whenever someone used and flushed, it smelled like you know what downstairs. The smell happens every night between 10 and 11pm. These stools are typically soft or runny. If there is some sewer gas getting into the AC, then it would push that into the house, then the smell would go away as quickly as the source stink went away, because the AC is circulating air. Fortunately, a sewer smell in your house is something that you can do something about. Due to the preservatives and color dyes found in many of the vitamin pills that are commonly taken in modern society, an. Fecal matter is composed of water and the digestive waste. A sewer gas smell in your bathroom drains is more than just unpleasant; it can also be a health and safety hazard. For stronger disinfecting properties, scrub with a strong vinegar solution. We also ask what has been happening in the home or business lately in terms of remodeling, pest control, etc. Sewer Odor, installed new toilet, replaced wax ring twice, still have odor The sewer smell isn't like rotten eggs (i've had that smell before in the basement) but more like an outhouse or porta potty. Stop snickering for a couple seconds, and let's talk about it. Dry drains are one of the top reasons why there is an odor in the house from a septic tank. We have city water in our home, but we also have a private well on our property. Blood in your stool and infection will make it smell like death. Nitrogen, carbon dioxide, oxygen, hydrogen, and sometimes small amounts of methane are more typical components. But the smell was unmistakable: it was poop. If you smell raw sewage coming from your vents, there is one usual cause: sewage. These gases are generally odorless, but can become foul smelling when other gases, such as sulfates, are added. Potential culprit #1. Im almost 30yrs old, female and living in the UK. Although this is somewhat inevitable, some simple steps can be taken in order to reduce the likelihood of this occurring, and the extremity of the smells. Foul fecal gases or flatulence indicate that food has not digested completely; rather, it has decomposed (rotted or fermented) in the gut. This is not only a health problem but also a social stigma. The drain for the dishwasher hooks in to the drain line for the kitchen sink, but after the sink's own P-Trap (so on the sewer gas side of the drain system). The most common source of a sewer smell in house is from missing, ill-fitted, or loose sewer trap plugs. The water actually helps to trap the foul odors, so if the pump is completely dry, you'll also experience bad smells. It is the smell associated with dimethyl disulfide that tends to attract flies to a decomposing body. I get sewer odor when the furnace is on. Besides the obvious unpleasant smell, the methane in sewer gas can actually be flammable in large quantities, and breathing it in can be hazardous to your health. This happens more commonly in drains that are not used very often. Though fish smell is most common, I read it could also have a garbage or feces-like smell. Noticed the last couple times its rained really hard there is a sewer smell in our master bathroom. I fart many times a day and very often. The toilet outlet is connected to the main sewer by a flexible pipe, and it is from this area that 90% of the smells arise. I've personally never had to ask myself "why do I smell like poop. Sewer gas is a mixture of inorganic gases that contain such compounds as hydrogen sulfide, ammonia, carbon dioxide, methane, nitrogen and hydrogen. Of course, the main thing you are most likely concerned about is that the smell makes it hard to be in your house. The light was off, and it was black. That includes moisture and mold spores, as well as anything else that may be airborne down there. I just got a whiff of sewer gas, it came in the windows. Chloracetophenone (phenacyl chloride) is another type of tear gas that can severely damage the eyes and lungs. The overwhelmingly strong ammonia smell you get when you walk into a Tyson or Smithfield house is the poop and urine if you have enough carbon such as wood chips, hay,etc you will not have the strong ammonia smell because the carbon absorbs the urine and poop and breaks it down and absorbs moisture in the poop and it will not smell as bad or not at all because dry poop doesn't really smell. Sometimes if you have a leaking P trap (that fu. If there is a smell in your vehicle that is a bit medical in nature, it could be that the air conditioner is leaking. A plumber needs to be called by the super. We also try to ask what has been happening in the home or business lately in terms of remodeling, pest control etc. Septic tank odor problems must be dealt with immediately because some of the odors contain toxic gases like methane. It dries up during the heating season from lack of use. The great thing is no more black and grey water smells forced up into the house from winds coming in from certain directions. Stools normally have an unpleasant odor. Parrish, Ala. At my house we had a strange sulfur smell too. I Can't Get Rid of the Sewer Smell in My Basement, Basement Smells Like Sewage. Sewer gas smells tend to be stronger than other odors coming from the drainage system and smell like raw sewage. Boats that are aired with regular use rarely smell. After all, who wants to live in a place that smells like a sewer? But there are other reasons to be concerned when you smell something like this as well. Check the water supply to see if it contains hard water. Due to the preservatives and color dyes found in many of the vitamin pills that are commonly taken in modern society, an. That does not sound like sewer gas to me (even with mention of urine, sewer gas is pungent and leans toward the feces side of the odor spectrum). The sewer smell is only in the washer - no other sinks, etc. Your pump may smell like gas after a heavy rain storm if the water level gets too low and smells from the sewer line seep into your basement. Sewer gas is created by the decomposition of waste materials found in both public and. Under the metal grate is a water seal you can't see. Fix It – Refill. Nevertheless, foul-smelling stools can likewise suggest a major illness. This could be potentially dangerous so you want to have a plumber come and look at this. I use drainable bags as I dont like to change the bag 3 to 4 times a day. They can build up some pretty nasty odours. It is formed during the decay of household and industrial waste. When I had daily D my movements smelled much like an open sewer. Add a cup of half baking. Giardiasis. First, try a few simple home remedies to remove odors from the. Answer 31 of 39: We try to go to Vegas once a year, this year we noticed a rotten sewer smell at a lot of places and on the strip. Luckily, the fix for that is easy: just run some water down the. Are there any tools that can detect nasty foul hydrogen sulphide smells know as H2S You could buy the H2S tester, however these type of tools do come in very expensive to buy and only detect the level of H2O in the room unless the pump is also added to the. Spray the area where the rat was located and look for white foaming. This is a cap with a rubber diaphragm. Initially, it turns green, then purple, and finally black. Smells like vomit or poop or not sure - sour. February 24, 2014 by Dr. Methane Gas. Yes that's right; cockroaches, flies, moth flies (also known as sewer flies) and other crawly things can creep up floor drains. Check for smell after that and repeat if necessary. Some possible reasons for gas or oil contamination of the water supply are from storage tank leaks, dumping, or improper disposal. Sewer gas is a complex mixture of toxic and nontoxic gases produced and collected in sewage systems by the decomposition of organic household or industrial wastes, typical components of sewage. It's an oily dark brown liquid and can cause cyanide poisoning in larger doses. Sewer gas is not like carbon monoxide, the fact is it will not kill you. We notice the smell fills the room during evening and stays till morning. This one is an easy fix! Don't overstock your fish tank and only keep fish that are appropriate for your sized tank. If you have a gas hot water heater, you may be having an intermittent flue draft problem causing the combustion byproducts to backdraft into the house. Posted By: actionpacker16 on 05/09/11 06:18pm Hi, any suggestion would be appreciated. They very often have to do with what you eat, but may be a sign of a medical condition. It's all fine and good to know that the professionals can take care of the sewer pipes, but in the meantime you're forced to deal with a near-overwhelming sewer stench. While you can continue using your plumbing system, you'll discover that the quality of your life is negatively affected because of this problem. The main reason for the foul odor is due to a leak from one of the drain plumbing line of the sewer system. The water could have dried up enough in the curve of the drain pipe to allow sewer gas to leak through. A sewage odor that brings to mind rotten eggs in your. A: Sewer smells in your bathroom can result from a few different issues, so you'll need to spend a bit of time in the room to sniff out the source. It was just letting sewer gas flow unchecked into our basement. Poop may smell different due to changes in your diet. Most of the time, the odor is familiar. Once you've identified where the odor is. In my experience, these are poorly designed and allow sewer gas to seep through. I too had an awful smell in my dishwasher and although I only run the washer every 2nd day or so, I've never had this problem before. It is the smell associated with dimethyl disulfide that tends to attract flies to a decomposing body. However, breath that smells like feces, or poop, may indicate a medical condition. It's common, of course, to catch the scent of gas while filling up at the gas station. However, under certain conditions, these Hydrogen Sulfide (also known as H2S) and Methane gases might be pulled down into your yard around your home or place of business. It can lead to pooping a bit too much. We notice the smell fills the room during evening and stays till morning. Turns out it wasn't my imagination after all, and I was exposed to sewage 'fumes' for years. Can confirm - sewer gasses smell like shit (surprise surprise). Foul Smelling Stool Home Remedy and Treatment. Not only does it smell gross, but the methane and bacteria it contains can be dangerous to your health, causing headaches or even more serious ailments. How to eliminate boat odors The causes of the pong, and how you can get rid of them Smells are small amounts of the parent material "gassing" and sensed by "dendrites" inside our nose. Some possible reasons for gas or oil contamination of the water supply are from storage tank leaks, dumping, or improper disposal. So let's discount those theories and focus on sewage. If you smell: A gross bathroom odor If your home smells like a waste treatment plant, you could have a leak of sewer gas, which contains toxic and potentially explosive components such as hydrogen sulfide (which could cause problems from eye irritation to unconsciousness) and methane (which can deplete oxygen leading to asphyxiation). My money is on a dead mouse though. These bacteria include: Giardia lamblia, a one-cell parasite that can infect humans via food or water, leading to bloating, diarrhea, farting and. Sewer smells - Sometimes sewer gas can rise up through the drains if there are empty drain traps. A seldom used drain dries out so the sewer fumes come returned interior the living house (the catch interior the drain desires to stay lined in water so use all drains often). If a house has any of these (7) smells, you should take action as soon as possible. The odors produced by decomposing nitrogenous proteins are characterized as "putrid. While you can continue using your plumbing system, you'll discover that the quality of your life is negatively affected because of this problem. When your house smells a bad odor - like sewage - it's leaking gas. It occurs most often in guest bathrooms that don't receive much use. Get shopping advice from experts, friends and the community! Regarding the answer about my washer having a sewer smell coming from it, my in-wall drain hose and machine hose do not smell. That condensate line should drain outside and be trapped. The smell is most strong at night. It's perfectly normal for poop to have an unpleasant odor. Worse, I smell like I continously release sewage gas from my anus, even though I do not have any feeling of Stinky Poop. The built-up poop quickly breaks down there's a small hollow interior the vent pipe or there's a small hollow interior the drain pipe - the two can take place with previous plumbing or a nail hollow in new. The off-gassing can also be toxic. 01 ppm of sewer gas, people can start showing signs of physical and mental illness. So let's discount those theories and focus on sewage. All bathroom fixtures (shower, toilet, sink, bidet) carry wastewater to the sewer via pipes. Bearing these in mind, it is safe to say that, at least once in a while, everyone produces fart that smells like rotten eggs. A regular sewer gas smell is just a bad stench with a definite odor of feces. full glazed poop chutes work wonders vs the cheaper models. But this event, like I said, was preceeded by another disturbing event Edited by mystsofavalon, 08 March 2010 - 06:04 PM. Breath smelling like poop is an embarrassing problem. However, most people describe the odor as "sulfuric," or resembling. Just make sure you add new water up to the fill line once you're done. It'll just take a minute or two to check water levels in your batteries, and you ought to do that once in a while anyway. Sewer gas is not like carbon monoxide, the fact is it will not kill you. These bacteria include: Giardia lamblia, a one-cell parasite that can infect humans via food or water, leading to bloating, diarrhea, farting and. My plumber rodded the sewer line and said that would do it. ) It's not healthy to breathe sewer gas. Meshelmarie50 is right, keep all the drain traps full of water. That stench that's ruining your showers has got to go. Worse, I smell like I continously release sewage gas from my anus, even though I do not have any feeling of. Intestinal gas is composed of nitrogen, oxygen, carbon dioxide, hydrogen, and methane. 10 years ago I regained control with the flavonoids and that control has continued to improve over the whole 10 years. I've personally never had to ask myself "why do I smell like poop. Just make sure you add new water up to the fill line once you're done. Strong ammonia smell is due to protein breakdown. if symptoms are long enough consult GI for endoscopy. Take a sniff of all your drains (sinks, bath, shower) and see if the smell is any worse there. It stays low to the ground due to the atmospheric pressure and it may smell like rotten eggs. The one where you smell like poop. When I turn on the bathroom sink taps, I get this whiff of sewer gas. One of the drugs that give out an unpleasant smell is crack. And I agree with you. Fecal matter is composed of water and the digestive waste. Highly toxic components of sewer gas include hydrogen sulfide and ammonia. Methane is basically odorless but gets corrupted when mixed with other gases. Even your loved ones tend to stay a kilometer away from you when you are talking with them. Take a sniff of all your drains (sinks, bath, shower) and see if the smell is any worse there. Sewer Gas The smell of a stagnant sewer is unmistakable in its odoriferous and cloying funk. If your washing machine drain smells like sewage it can be incredibly unpleasant. Other names commonly used are raw eggs, sewer smells, drainage smell or rotten smells. Prolonged exposure to sewer gas can cause irritability, headaches, fatigue, sinus infections, bronchitis, pneumonia, loss of appetite, poor memory and dizziness. Now there is Liquid ASS. If you just get some draino, and blast the drains in the contaminated areas, this should clear. Sulfur is often the first smell humans and pets will notice if a mouse has died in your home but is not visible to the naked eye. The best way to think about how a sewer could smell like is by picturing all the weird and rotten. Urine smells like sulfur: Treatment There are some natural remedies and medical approaches to dealing with your foul urine. "Any smell of fuel can result in a possible fire. You should open the windows immediately, leave the house, and call your gas company to identify the exact location and to repair. Foul-smelling gas. The presence of septic tank odor in one's home is a common plumbing issue. My plumber rodded the sewer line and said that would do it. Diarrhea, Foul smelling stools, Nausea or vomiting and Pain or discomfort. One name for this could be the "TAMU" fish smell disorder. The built-up poop quickly breaks down. The gas used in modern day cars is R-134A. Rotting meat gives off this gas. There is a U-shaped pipe called a P-trap that uses water to keep sewage smells from rising up through your pipes It is very poisonous, corrosive, and flammable. It's a sign of a life-threatening condition called ketoacidosis. Why gas smells like sewage. Your plumbing network snakes through the house with a system of links to the main sewer line. Methane is basically odorless but gets corrupted when mixed with other gases. Greasy or fatty foods can make foul-smelling gas but what generally leads to a metallic smell could be from supplements or diet pills that you may be taking. If the water smells like cucumber or sewage this is usually a result of iron and/ or sulfur bacteria. When a Sewer Pipe Busts or a Drain Backs Up, a Sewage Odor is almost inevitable. Sewer gases are therefore trapped in the system under pressure and after sometime overcome the water barrier at the bottom of the toilet which will be. For stronger disinfecting properties, scrub with a strong vinegar solution. I opened the door. Hydrogen sulfide and ammonia are highly toxic components of this gas. I have used bleach before to clear the smells from my tank before too and for a while it works. Highly toxic components of sewer gas include hydrogen sulfide and ammonia. However, breath that smells like feces, or poop, may indicate a medical condition. But in order to get rid of it, you need to determine what kind of smell it is. Add in a couple squirts of liquid dishwashing soap. 8% developed sub-acute symptoms including sore throat, cough, chest tightness, breathlessness, thirst, sweating, irritability and loss of libido. I know natural gas doesn't really have a smell so it smells like the stuff they put into gas so that it would smell. Initially, it turns green, then purple, and finally black. A small explosion between the legs, composed of vapourized poop particles. The "rotten egg" smell is from a gas - hydrogen sulfide. WebMD Symptom Checker helps you find the most common medical conditions indicated by the symptoms diarrhea, foul smelling stools, nausea or vomiting and pain or discomfort including Gastroenteritis, Food poisoning, and Lactose intolerance. I fart many times a day and very often. These bacteria include: Giardia lamblia, a one-cell parasite that can infect humans via food or water, leading to bloating, diarrhea, farting and. Even your loved ones tend to stay a kilometer away from you when you are talking with them. Posted By: actionpacker16 on 05/09/11 06:18pm Hi, any suggestion would be appreciated. Now, when do weird or bad baby smells indicate a problem? There are many instances when a weird or bad baby smell may indicate a health problem. Persistent sewer smells require the attention of a professional plumber, as these odors may pose a toxic, flammable threat. It occurs most often in guest bathrooms that don't receive much use. The purpose of the stink pipe, as it's sometimes. Odors can be caused by a build-up of bacteria, slime, mildew or soap scum, accumulating in the internals. Once embraced by cities for its beautiful white flowers, disease resistance and ability to grow just about anywhere, the Callery pear is now considered a nuisance due to its smell and invasive nature. As it does, it gives off a foul odor. Our bathroom sink smells occasionally due to hair, etc caught in the sink drain "aging". That's why utility companies inject a substance called mercaptan, which emits an odor that smells like sulfur or rotten eggs. Unfortunately, the sewage smell in the basement is probably caused by, well, sewage, which means taking action somewhere along with the plumbing system. ss, but after I eat my food, and go to the bathroom, the smell makes me hungary all over again. 3) If the septic system smells like rotten eggs in the bathroom, this could be caused by a loose toilet gas ring around the When the gas ignites safely inside the furnace, it creates heat that warms the air inside your home. After all, who wants to live in a place that smells like a sewer? But there are other reasons to be concerned when you smell something like this as well. Use a chemical which causes the water to turn blue upon flushing. In many cases, foul-smelling stool occurs due to the foods you eat and the bacteria present in your colon. To verify a leak, White says to look for oil on the pavement or smoke coming from the engine area. But the stink inspired me to finally write a post I've been thinking about for a long time. Stools normally have an unpleasant odor. If it doesn't smell like sewage outside your apartment then you are getting sewer gas back into your dwelling. Prolonged exposure to sewer gases can cause nausea,. So let's discount those theories and focus on sewage. Along the way, certain things can stop or interfere with the normal release of built-up gas, causing gas pains, bloating and indigestion. Detecting a sewer smell in your house is never pleasant on a number of levels. I would stop taking it for a few days and see if your problems go away. My fart stinks like omg, and when I am not farting, I release gases involuntarily which smells like fart/poop/sewage. But propane manufacturers add a strong sulfuric smell to help customers detect a propane leak. In any case, wet, musty, and stale are some of the adjectives that best describe its smell. The house smells to me like a sewerage plant and I have diffusers and sprays on the go all the time but it isnt helping. My mom's boyfriend noticed it when it was stronger before or when I'm in public and the smell comes. I am a Janitor at a local high school. One name for this could be the "TAMU" fish smell disorder. Bearing these in mind, it is safe to say that, at least once in a while, everyone produces fart that smells like rotten eggs. Natural Gas Smell. We have had it for about a week. The bathroom smells like gas/sewer/shit/fart and like someone poured a whole tub of kimchi down the drain. An odor is another word for a smell. Bowel movement smells like tobacco as a black tar like stool that smells movement it smells like a skunk and even when I pass gas this has been. Sewer gas smell in the house can also cause bacterial infections which directly affect the sinus. Bacterial overgrowth in intestines. What causes the sewer smell in a mobile home? Beneath your bathroom or kitchen sink, you will find a plumbing fixture called a P-trap. Human feces smells of hydrogen sulfide gas. There's something so calming, so relaxing about bookstores: the smell of fresh ink and paper, the quiet atmosphere, the raging urge to run to the bathroom and drop a deuce. The professionals work will help out, but there are a couple things you can do to combat the sewer smell. House Smells like Rotten Eggs: How to Eliminate It. Could be a lot of things. sewer smell sounds like the trap on a/c coil has dried out and is piped into the sewer line in ma. There are several conditions that we gastroenterologists look for in the patient with gas that smells like rotting sewage: Many disorders that can cause malabsorption, inflammation, and bowel blockages will cause rancid gas as a symptom. I think it is a person by person issue with each person's digestive track and how their body processes food. @Margene Kiefer Do not ever pour bleach down your drain if you are on a septic tank. For at least 24 hours people have been noticing an unusual odor popping. Posted By: actionpacker16 on 05/09/11 06:18pm Hi, any suggestion would be appreciated If the sewer gas smell in the bathroom persists after you have cleaned your shower drain, contact a professional plumber to examine your water system. With a few simple steps, you should be able to reduce the volume and the aroma, and take the "deadly" out of "silent. The mold spores release a gas which is the musty odor of mold. Furnace smells like rotten eggs or sulfur is a cause for serious alarm. Totally agree with everybody and suspect that the drain from the air handler was plumbed into the sewer system which is illegal. Trimethylamine has been described as smelling like rotting fish, rotting eggs, garbage, or urine. " And anyone who has eaten durian will also know that it gives you terrible gas and makes your urine stink. This happens more commonly in drains that are not used very often. After all, who wants to live in a place that smells like a sewer? But there are other reasons to be concerned when you smell something like this as well. Those who have not inhaled its near-toxic fumes simply don. Rotting meat gives off this gas. It's all fine and good to know that the professionals can take care of the sewer pipes, but in the meantime you're forced to deal with a near-overwhelming sewer stench. He said that it was making him sick. In my experience, these are poorly designed and allow sewer gas to seep through. Besides the obvious unpleasant smell, the methane in sewer gas can actually be flammable in large quantities, and breathing it in can be hazardous to your health. Over time, the water evaporates and the smell is allowed to escape. Nolanea conica smells a lot like chlorine bleach. Sometimes it includes a rotten egg (hydrogen sulfide) smell and possibly a moldy mustiness. Sewer gas is created by the decomposition of waste materials found in both public and. How to fix sewage smell problems in bathroom. If this pipe has dried out, there may be nothing blocking the smell from entering your home. They give off a smell that's frighteningly similar to sewer gas, which isn't a pleasant smell. The most common cause of foul smelling stool and gas is nutrient malabsorption, meaning the food you eat are not being absorbed properly in the intestines. If you still hear trickling in the walls or overhead, that sustained flow through your plumbing's system could be a result of leaks in the sewer pipes. Rotates 360-Degree to follow the wind. Always investigate gas smells you discover when your car is parked before starting the car and potentially igniting the fuel. This bacteria causes a heavy gas to fill the drain near the sink and when the water is turned on the gas is forced upwards and into the air around the sink making it seem like the water itself smells. Do I Need to Call an Emergency Plumber? It will largely depend on the source of the smell whether you need to pick up the phone and call an emergency plumber. The smell is most strong at night. Fortunately, they can all be solved. These are the five most common causes. Sulfur-reducing bacteria and other micro-organisms utilize sulfur compounds within food, producing hydrogen sulfide as an end product, which could give you burps that smell like rotten eggs. Which is the stinky smell of hydrogen sulfide effusing from your black tank which knocks you out each time you get into your RV. Does that make sense?. I get sewer odor when the furnace is on. The bowl holds water so the blade seal must be good. Diarrhea, Foul smelling stools, Nausea or vomiting and Pain or discomfort. Burps That Smell Like Poop, Why? Do you always wonder, "Why do my burps smell like poop?" Here's the answer. Use your nose to determine which one—it could be the drain of a toilet, sink, tub or shower. Over time, the water evaporates and the smell is allowed to escape. Smells like a skunk sprayed itself, got eaten by a bear, gotten puked out by the bear, then eaten again and finally pooped out! I live on a cow farm, and there poo just stinks the whole place out. The mold spores release a gas which is the musty odor of mold. You should be able to tell the difference between the feces smell, which likely derives from sewer gas, and a dead squirrel, which is more like rotting meat. Besides causing unpleasant sewer odors, rotting waste and residue can lead to gases such as hydrogen sulfide, ammonia, and methane leaking into your residence. Certain foods are known to contribute towards offensive odors, like substances such as hydrogen sulfide. How to fix sewage smell problems in bathroom. It's not healthy to breathe sewer gas. Floors that feel spongy or moist underfoot are telltale signs of sewer leakage. You can get rid of funky smells coming from underneath your sink by clearing out the sink's cabinet, checking for drippage and spillage. For a while, whenever someone used and flushed, it smelled like you know what downstairs. described as a black tar like stool that smells and even when I pass gas this has been going on for like 2 yrs. Helpful, trusted answers from doctors: Dr. Because carpet is so absorbent, it tends to hold onto the pungent smells from spills, accidents, and smoking. The following is a comprehensive list of treatment options. Just make sure you add new water up to the fill line once you're done. As that has happened, my bms have returned to a much more normal smell. Bromobenzyl cyanide is a type of tear gas that smells like sour fruit. Low Water Level. Whether one's spiritual senses of hearing and/or smell are quickened or not does not elevate his or her spiritual position. Mouth breathers (often due to nasal congestion) tend to swallow more air. It literally smells like feces, and is so horrible that you can smell really strong if I rub my upper lip near around my nose, my forehead and right under my lip above my chin. Some of the foods that may cause your fart to smell bad include strong smelling vegetables like broccoli, cabbages, asparagus, etc. In fact, sewer gas can be dangerous. Sewage Odors. Check out this photo and see if you understand what's going on: The three most common sewer gas issues in laundry rooms are: * dried. Breath smelling like poop is an embarrassing problem. You can do this by spraying the fittings with a mixture of soap and water to see if bubbles appear. However: The appearance of the sewage smell indicates issues with the sewage system. Washing it off helps to reduce the odour but it is best to just toss it out to avoid being made sick by eating it. When septic odors come wafting into your house, it's extremely unpleasant. Malabsorption of food due to a lack of digestive enzymes or gut motility can be a culprit. " If you've ever passed gas that smells like rotten eggs,. I hate vomit, barf, throw up, spewing, and blowing chunks. After all, who wants to live in a place that smells like a sewer? But there are other reasons to be concerned when you smell something like this as well. Why do my drains smell like sewage? Fortunately, one of the most common causes of. Making sure bacteria growth in the drain is the issue: Both the cold and hot water smell (at a single tap), and that the smell is not coming out of all. The smell was truly awful, embarrassing, and traveled everywhere. Some I can discount out of hand like farts and sewage pipes ( it was on Little Round Top). Sewer gas smells can be a problem in unused bathrooms, where the water evaporates and lets. Sewer smell is produced by bacteria and decomposing waste inside the system. Check the water supply to see if it contains hard water. My plumber rodded the sewer line and said that would do it. In some cases, the smell is associated with contaminated. Floor drains lead into the sewer. When a Sewer Pipe Busts or a Drain Backs Up, a Sewage Odor is almost inevitable. Any medication can disagree with your body. From sulfur to musty and sewage odors, here are five common strange well water smells and their causes. Some say that people possessed by demons also give off this putrid smell. Odor will come through a dry trap. Sewage Smell in the Central Air. The purpose of a sewer vent stack is to break a vacuum. My wife smelt roses also once, and she knew immediately that her recently departed grandma was with her. Answer: Several things can cause that problem. Why is it that when we use the fantastic fan in the bathroom, the rest of the RV starts to smell like sewer/gas? Answer: If you are using the fan to pull air out of the RV it will also suck odors out of the sewer tank if the tank is not properly cleaned and sanitized regularly or if there is a leak in the sewer plumbing pipes. Not only does it smell gross, but the methane and bacteria it contains can be dangerous to your health, causing headaches or even more serious ailments. If not that then please get to your doctor for an examination and testing. Migraine attacks usually occur in stages and the initial stage for some Migraineurs is a "pre-headache" phase occurring for hours of days before the onset of aura or headache.</s>
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<s> <!DOCTYPE html>
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<s> Introduction to Nutrition
This module was developed to help clinicians understand the core foundations of a healthy, well-balanced diet. While we consider individual nutritional components, or macronutrients (i.e. fats, carbohydrates, proteins, etc.) for teaching purposes, please remember that this approach is cumbersome and frustrating for patients to put into practice since foods do not consist of a single nutrient. When deciding which foods to eat, we must consider the whole food package, which may contain multiple macronutrients as well as other vital nutrients such as vitamins and minerals. The information presented in this module generally applies to healthy patients; those with chronic conditions such as coronary artery disease, diabetes mellitus or inflammatory bowel disease may need customized recommendations</s>
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<s> Since 2011, Blancpain has collaborated with and sponsored National Geographic's Pristine Seas initiative, embarking on expeditions to explore, survey, and safeguard the Earth's last untouched marine ecosystems. The ocean, our planet's life-support system, generates more than half of the oxygen in our atmosphere, provides a significant portion of our seafood, and absorbs approximately a quarter of the carbon dioxide emissions we produce. However, only a minuscule 1% of the ocean is fully shielded from human activities, such as overfishing, which is depleting fish populations faster than they can replenish. The United Nations has set a target to protect 10% of the ocean by 2020, but scientific research advocates for at least 20%.
National Geographic Pristine Seas and Blancpain are united in their mission to bridge this protection gap. The Pristine Seas team ventures into the most isolated regions, conducts pioneering scientific research, and produces captivating multimedia content, aiming to galvanize world leaders into preserving these areas before they succumb to exploitation, particularly by distant fishing fleets. These remote, sparsely inhabited regions require designation as large 'no-take' marine reserves, akin to underwater national parks.
To date, Pristine Seas and its partners have inspired leaders to safeguard pristine marine areas totaling 3 million square kilometers in seven countries, spanning both tropical and temperate seas. This amounts to more than half of all ocean areas currently afforded full protection, with additional reserves in the pipeline.
These remaining untouched regions represent the final vestiges of marine wilderness. They serve as temporal portals, transporting us back centuries, offering an unadulterated glimpse into the ocean's past. This affords us a profound understanding of the irreversible losses incurred due to centuries of overfishing and pollution. However, their most significant value lies in their ability to guide our vision for the ocean's future: a choice between a polluted, fish-depleted sea, or one that mirrors the rich biodiversity of these protected sanctuaries. We are advocating for the latter, as a healthy ocean is an imperative for all life on Earth.</s>
|
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<s> import React from 'react'
import PropTypes from 'prop-types'
import { Link } from 'react-router-dom'
import './styles.css'
interface IUserBadge extends React.ImgHTMLAttributes<HTMLImageElement> {
source: string
alt?: string
name: string
}
const UserBadge: React.FC<IUserBadge> = ({
source,
alt = 'Profile user photo',
name
}) => {
return (
<div className="user-container">
<Link to="/profile">
<img src={source} alt={alt} />
<span>{name}</span>
</Link>
</div>
)
}
UserBadge.propTypes = {
source: PropTypes.string.isRequired,
alt: PropTypes.string,
name: PropTypes.string.isRequired
}
export default UserBadge
</s>
|
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1507,
27401,
1410,
22710,
1384,
13079,
4781,
1385,
1358,
3795,
59342,
6290,
2471,
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1421,
1358,
6595,
72,
1507,
27401,
1571,
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1377,
1348,
5993,
1379,
21377,
59342,
2754,
5118,
59342,
5349,
59342,
25882,
59342,
17748,
59342,
8055,
59342,
1384,
1368,
14034,
72,
6264,
29116,
11622,
13259,
1982,
1580,
1348,
7077,
1379,
2009,
21377,
59342,
2213,
1467,
5118,
1384,
25882,
1508,
5349,
1384,
17748,
72,
1507,
27401,
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1571,
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1580,
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8186,
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2123,
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72,
19533,
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27401,
1379,
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11622,
7147,
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72,
5,
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1432,
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29116,
11622,
7147,
1571,
10487,
10994,
1432,
1358,
3636,
6595,
72,
6264,
1982,
1580,
20016,
27401,
1457,
1410,
2025,
1348,
3155,
8441,
17136,
1470,
2288,
59342,
2596,
4648,
1982,
1580,
10631,
6089,
27401,
1457,
1410,
1712,
1385,
1348,
2507,
17136,
1352,
1377,
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2230,
72,
1507,
27401,
1432,
1358,
31209,
1410,
1751,
10631,
6089,
1384,
1982,
1580,
1348,
8825,
26160,
1385,
1476,
72,
15360,
1358,
8825,
12050,
1377,
27401,
4452,
59342,
1645,
29116,
11622,
13259,
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48130,
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1457,
1410,
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63,
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16446,
72,
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5,
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1576,
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1384,
30651,
2593,
5,
5,
59366,
1353,
11622,
13259,
1502,
3263,
1421,
1766,
1981,
3854,
1384,
48931,
4913,
4432,
72,
3330,
1502,
26145,
1384,
22693,
12736,
1457,
3069,
12860,
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10120,
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6054,
14183,
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72,
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59342,
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1845,
1954,
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4329,
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72,
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1766,
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63,
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4955,
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2054,
5322,
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7483,
2002,
63,
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2116,
72,
3519,
59342,
1450,
2717,
4329,
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4034,
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63,
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54599,
72,
29116,
11622,
13259,
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72,
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1502,
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14023,
72,
19533,
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11622,
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72,
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5,
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2147,
1441,
7913,
1379,
72,
4502,
1379,
1358,
2121,
3298,
4582,
1410,
1976,
20270,
13335,
1409,
59342,
1697,
10481,
1882,
1358,
15386,
1501,
1461,
1726,
3230,
1823,
1525,
1932,
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4310,
72,
1900,
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5467,
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2963,
5532,
59342,
1384,
18752,
13017,
72,
1646,
9538,
4055,
59342,
7644,
1982,
1441,
5834,
1385,
4402,
1358,
2905,
72,
29116,
11622,
13259,
1502,
1751,
1510,
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20723,
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72,
33896,
8800,
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1348,
7377,
8559,
1571,
2111,
4906,
2009,
4226,
1525,
7493,
72,
5,
5,
48336,
2760,
13405,
1421,
29116,
11622,
13259,
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54849,
72,
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12736,
1982,
1441,
33655,
1385,
4505,
16969,
59342,
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4164,
59342,
1508,
2478,
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72,
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72,
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14338,
4802,
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1510,
63,
7265,
2568,
1571,
2111,
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2009,
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6595,
59361,
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14821,
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1414,
9294,
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72,
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72,
1900,
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13259,
1502,
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17036,
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7294,
2593,
59342,
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1982,
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2617,
2714,
1385,
58297,
72,
3330,
1502,
4766,
35301,
1384,
1571,
6377,
7735,
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1715,
13946,
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1982,
2144,
2054,
1753,
11189,
1377,
58330,
4034,
7025,
72,
5,
5,
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1441,
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54194,
1516,
59342,
1384,
1828,
1982,
45272,
1508,
2955,
59329,
1510,
58297,
1872,
3895,
1766,
2697,
1508,
2994,
72,
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7130,
58297,
72,
19533,
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1536,
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11702,
18350,
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72,
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5,
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31766,
14412,
5,
5,
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29116,
11622,
7147,
1410,
1348,
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39998,
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2017,
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6595,
72,
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1502,
3263,
1421,
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2017,
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16588,
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1929,
12860,
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10922,
2002,
1766,
12570,
3854,
72,
1900,
4313,
2054,
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2407,
6344,
1421,
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12984,
1817,
31389,
1384,
22956,
1377,
6054,
5513,
72,
3519,
59342,
1766,
1981,
3854,
3953,
1571,
1751,
2144,
2054,
1348,
32527,
1421,
1377,
17308,
46463,
8821,
59342,
1733,
1476,
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59328,
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1615,
2686,
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2144,
3221,
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1379,
1536,
48931,
31476,
72,
5,
5,
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3715,
2593,
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1348,
8996,
1421,
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5,
5,
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1353,
11622,
13259,
1580,
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48931,
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51877,
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59342,
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1872,
1502,
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1421,
1348,
2017,
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30387,
72,
3330,
1502,
5623,
26145,
1384,
4302,
1385,
7483,
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4338,
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33630,
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72,
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19533,
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9167,
1457,
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5244,
18299,
1384,
27967,
1385,
1766,
2697,
72,
5,
5,
2010,
20131,
57377,
5,
5,
59366,
1353,
11622,
13259,
3069,
1348,
16210,
4503,
1379,
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6054,
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10120,
2760,
72,
3330,
1502,
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5402,
31476,
1457,
30454,
6801,
26218,
1384,
2017,
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72,
1420,
8365,
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59320,
59362,
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10890,
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1954,
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72,
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5191,
72,
1826,
1410,
2980,
1385,
6914,
1457,
29116,
11622,
13259,
1580,
1348,
1981,
44605,
7082,
1384,
2147,
3410,
1441,
11343,
1432,
1348,
1593,
2116,
1508,
1377,
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72,
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72,
29116,
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31209,
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63,
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1955,
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1943,
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11074,
72,
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21610,
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1385,
1875,
27786,
18533,
1384,
15563,
59342,
1467,
1895,
29116,
11622,
13259,
1982,
1580,
1348,
4201,
44605,
7082,
1384,
1982,
48903,
8029,
7934,
72,
15606,
59342,
2717,
4329,
1384,
4034,
2356,
1571,
2111,
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29116,
11622,
13259,
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33874,
2914,
1875,
27786,
72,
5,
5,
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26091,
45334,
5,
5,
59366,
1353,
11622,
13259,
3069,
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<s> Rat Terrier Dog Breed Information, Puppies & Breeders
Rat Terrier Dog Breed Information, Puppies & Breeders
Are you contemplating getting a new furry friend and considering the Rat Terrier breed? If so, you are in for a treat! Rat Terriers are small but mighty dogs that are known for their energetic personalities, intelligence, and loyalty. Originally bred for hunting rats, they are now cherished as companion animals and are highly adaptable to various living situations. This breed is perfect for those who want a playful and active dog that is easy to train and loves to be around people. Read on to discover more about the Rat Terrier and what makes them such great pets.
Breed Category: Terrier Country of Origin: United States Average Size:30-36 cm Average Weight:3-6 kg Average Life Span: 12-18 years Grooming Requirements: Low Exercise Requirements:High
History and Origin
The Rat Terrier is a small to medium-sized dog breed that originated in the United States. The breed was developed in the early 20th century from a mix of several terrier breeds, including the Smooth Fox Terrier, the Manchester Terrier, and the Bull Terrier. The Rat Terrier was originally bred for hunting small game, such as rats and other rodents, and was also used as a farm dog.
The breed's name comes from its original purpose as a rat hunter. Rat Terriers were highly valued for their ability to catch and kill rats, which were a common problem on farms and in cities during the early 20th century. The breed was also used for hunting other small game, such as squirrels and rabbits.
The Rat Terrier was recognized by the United Kennel Club (UKC) in 1936, and later by the American Kennel Club (AKC) in 2013. The breed has become increasingly popular in recent years, thanks in part to its friendly and outgoing personality, as well as its versatility as a working dog and a family pet.
Rat Terriers come in a variety of colors and patterns, including black, white, tan, and brindle. They are typically small to medium-sized dogs, weighing between 10 and 25 pounds, and standing between 10 and 18 inches tall at the shoulder. The breed is known for its high energy level and intelligence, and requires regular exercise and mental stimulation to stay healthy and happy.
In addition to their hunting and farm duties, Rat Terriers have also been used as therapy dogs, search and rescue dogs, and even as actors in movies and television shows. The breed's versatility and adaptability have made it a popular choice for many different types of owners, from farmers and hunters to city dwellers and families with children.
Overall, the Rat Terrier is a unique and fascinating breed with a rich history and a bright future. Whether you are looking for a working dog, a family pet, or a loyal companion, the Rat Terrier is sure to make a great addition to your life. With their intelligence, energy, and friendly personality, these dogs are sure to win your heart and become a beloved member of your family.
Size and Breed Category
The Rat Terrier is a small to medium-sized breed of dog that originated in the United States. They are typically between 25-36 cm in height and weigh between 3-7 kg. They have a short, smooth coat that can come in a variety of colours including black, white, tan, and brindle. The breed is known for their high energy levels and intelligence, making them excellent working dogs. They are often used for hunting small game such as rats and squirrels, but also make great family pets. Rat Terriers are a versatile breed that can adapt to a variety of living situations, from apartments to large homes with yards.
The Rat Terrier falls into the Terrier breed category, which is known for their tenacity and determination. They are a highly active breed that requires daily exercise and mental stimulation to prevent boredom and destructive behaviour. Rat Terriers are also known for their loyalty and affection towards their owners, making them great companions. They are generally good with children and other pets, but early socialisation is important to ensure they develop good manners and behaviour. Overall, the Rat Terrier is a lively and intelligent breed that makes a great addition to an active household.
Fur Length and Colour
The fur of a Rat Terrier is typically short and smooth, with a glossy appearance. The fur is dense and lies close to the body, providing good insulation for the dog. The fur can come in a variety of colours, including black, white, tan, chocolate, blue, and fawn. Some Rat Terriers may have a combination of these colours, such as black and tan or white and chocolate. The fur colour can also have different patterns, such as brindle or spotted. Overall, the fur of a Rat Terrier is low maintenance and easy to care for, requiring only occasional brushing to remove loose hair.
The length of the fur on a Rat Terrier can vary depending on the individual dog. Some may have shorter fur that is only a few millimetres long, while others may have slightly longer fur that is up to a centimetre in length. The fur on the body is typically shorter than the fur on the tail, which can be slightly longer and bushier. The fur on the ears is also slightly longer and may have a slight curl to it. Despite the slight variation in fur length, all Rat Terriers have a sleek and athletic appearance that is well-suited to their active lifestyle.
Termperament and Trainability
Rat Terriers are known for their high energy and lively temperament. They are intelligent and curious dogs that require plenty of mental and physical stimulation to keep them happy and healthy. Rat Terriers are also highly trainable, making them a popular choice for obedience and agility competitions. They are quick learners and respond well to positive reinforcement training methods. However, their strong-willed nature can sometimes make them stubborn and difficult to train, especially if they are not properly socialized from a young age. Rat Terriers thrive in homes with active owners who can provide them with plenty of exercise and mental stimulation.
Despite their small size, Rat Terriers are highly versatile dogs that excel in a variety of activities. They are natural hunters and have a strong prey drive, which can sometimes make them difficult to train off-leash. However, with proper training and socialization, they can learn to control their instincts and become well-behaved companions. Rat Terriers are also known for their loyalty and affection towards their owners, making them excellent family pets. They are adaptable to different living situations and can thrive in both urban and rural environments. Overall, Rat Terriers are energetic and intelligent dogs that require plenty of attention and training to reach their full potential.
Known Health Conditions
Rat Terriers are prone to certain health conditions that owners should be aware of. One of the most common issues is patellar luxation, which occurs when the kneecap dislocates from its normal position. This can cause pain, limping, and difficulty walking. In severe cases, surgery may be necessary to correct the problem. Rat Terriers are also at risk for hip dysplasia, a genetic condition that affects the hip joint and can lead to arthritis and mobility issues. Regular exercise and a healthy diet can help prevent these conditions from developing.
Another health concern for Rat Terriers is allergies. These dogs may be allergic to certain foods, environmental factors, or even flea bites. Symptoms can include itching, redness, and skin irritation. In some cases, allergies can lead to secondary infections that require veterinary treatment. Rat Terriers are also prone to dental problems, such as periodontal disease and tooth decay. Regular dental cleanings and at-home care can help prevent these issues and keep your dog's teeth and gums healthy.
Openness to Strangers
Rat Terriers have a reputation for being friendly and sociable with strangers. They are known to be curious and outgoing, often approaching new people with enthusiasm. This breed is not typically shy or reserved, and they tend to enjoy meeting new people and making new friends. Rat Terriers are also known for their intelligence and adaptability, which may contribute to their openness to strangers. They are quick learners and can easily adjust to new situations, which may make them more comfortable in unfamiliar social settings.
Despite their friendly nature, Rat Terriers can also be protective of their owners and their territory. They are known to be alert and vigilant, and they may bark or growl at strangers who approach their home or family. However, this protective behavior is usually reserved for situations where the dog perceives a threat, and Rat Terriers are generally not aggressive towards strangers. Overall, this breed is known for their outgoing and friendly personality, which makes them a popular choice for families and individuals who enjoy socializing with their pets.
Playfulness Level
The Rat Terrier is a highly energetic and playful breed of dog. They are known for their love of playtime and their ability to keep their owners entertained for hours on end. Whether it's playing fetch, chasing after toys, or simply running around the yard, the Rat Terrier is always up for a good time. They are also highly intelligent and love to learn new tricks and commands, making them a great choice for owners who enjoy training their pets.
Despite their small size, the Rat Terrier is a breed that requires a lot of exercise and stimulation. They are not content to simply sit around the house all day and need plenty of opportunities to burn off their excess energy. This makes them a great choice for active families who enjoy spending time outdoors and engaging in physical activities. However, their high energy levels can also make them a handful for inexperienced owners, so it's important to do your research and make sure you're prepared for the demands of this lively breed.
Suitability as a Pet for Children
Rat Terriers have a lively and affectionate personality, making them a great pet for children who are looking for a playful companion. They are highly intelligent and easy to train, which means that they can quickly learn new tricks and commands. Additionally, Rat Terriers are known for their loyalty and devotion to their owners, which makes them a great choice for families who are looking for a pet that will become a beloved member of the household. Overall, Rat Terriers are a great choice for families who are looking for a fun and loving pet that will bring joy and happiness to their home.
Exercise Needs
Rat Terriers require a moderate amount of exercise to maintain their physical and mental health. They are an active breed that enjoys daily walks and playtime. A minimum of 30 minutes of exercise per day is recommended, but they will happily engage in more vigorous activities such as running, hiking, and agility training. Rat Terriers also benefit from mental stimulation, such as puzzle toys and training sessions, to prevent boredom and destructive behavior. It is important to note that Rat Terriers have a high prey drive and should always be kept on a leash or in a securely fenced area to prevent them from chasing after small animals.
In addition to regular exercise, Rat Terriers require a balanced diet to maintain their energy levels. They are prone to obesity, so it is important to monitor their food intake and provide them with healthy treats. Rat Terriers also require regular grooming, including brushing their coat and cleaning their ears, to prevent skin irritations and infections. Regular visits to the veterinarian are also necessary to ensure their overall health and to keep up with vaccinations and preventative care. With proper exercise, nutrition, and care, Rat Terriers can live long and healthy lives as beloved companions.
Suitability for a Multi-Pet Family
Rat Terriers have been known to coexist peacefully with other animals in the household. They are generally friendly and sociable, and can get along well with cats, rabbits, and other dogs. However, it is important to introduce them to other pets slowly and carefully, as some Rat Terriers may have a strong prey drive and may chase smaller animals. Additionally, proper training and socialization can help ensure that Rat Terriers behave appropriately around other pets.
Housing Requirements
Rat Terriers require a living space that is suitable for their size and energy levels. They are an active breed that requires daily exercise, so a home with a yard or access to a park is ideal. The yard should be securely fenced to prevent the Rat Terrier from escaping, as they are known for their high prey drive and may chase after small animals. Inside the home, the Rat Terrier should have a comfortable bed or crate to sleep in, as well as access to fresh water and food. It is important to note that Rat Terriers are intelligent and curious dogs, so they may require mental stimulation in the form of toys or puzzles to prevent boredom.
In terms of grooming, Rat Terriers have a short, smooth coat that requires minimal maintenance. They should be brushed regularly to remove loose hair and prevent matting. Bathing should be done as needed, but not too frequently as it can strip the natural oils from their skin. Rat Terriers are generally healthy dogs, but they may be prone to certain health issues such as allergies, dental problems, and patellar luxation. Regular visits to the vet and proper dental care can help prevent these issues.
Summary
Rat Terriers make great pets for active families who enjoy spending time outdoors. They are energetic and love to play, making them great companions for children. They are also intelligent and easy to train, making them suitable for first-time dog owners. Rat Terriers are loyal and affectionate, and enjoy being part of a family. They are adaptable to different living situations, but require regular exercise to keep them healthy and happy. Overall, Rat Terriers are a great choice for those looking for a fun-loving and loyal companion.</s>
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<s> Is there a method within HyperSizer to define a composite ply angle tolerance (i.e. +/- 5 degrees) to represent the possible slight differences between the designed part and the physically manufactured part?
There is no automated feature for this. However, you could develop an automated process using the Object Model scripting capability (supported scripting languages: Python, Excel VBA, Matlab). There's a tutorial that uses a spreadsheet to push in different stiffener spacing values, then the HyperSizer optimizes the cross section and the spreadsheet extracts the optimized panel dimensions.</s>
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] |
<s> require 'erb'
require 'ostruct'
# Provides templated output of a Ruby subclass from an XRC specification
# of a ruby Frame, Dialog or Panel class.
class Outputter
# Valid options are :app_name and :module_name
attr_accessor :options, :klass
# Creates a new outputter from the XRCClass +xrc_class+
def initialize(xrc_class, options = {})
@klass = xrc_class
@options = options
end
# Writes the ruby code to the file or stream +io+
def output(io = $stdout)
tpl = ERB.new(TEMPLATE)
io.puts( tpl.result(binding) )
end
# Returns the fully-qualified (including module namespace prefix) for
# +name+.
def fq_name(name)
options[:namespace] ? "#{options[:namespace]}::#{name}" : name
end
# Returns the options object
def opts
OpenStruct.new(options)
end
# Utility function to format the attr_readers line so it doesn't wrap
# in editors
def clean_id_attr_readers(str, start_len = 15, one_per_line = false)
new_string = ''
if one_per_line
str.split(',').each do | x |
new_string << "#{x},"
new_string << "\n" + " " * (start_len-2)
end
else
wanted_length = 72
current_line_length = start_len
str.split(',').each do | x |
if (current_line_length + x.length) > wanted_length
new_string << "\n" + " " * (start_len-2)
current_line_length = start_len
end
new_string << "#{x},"
current_line_length += x.length
end
end
# Trim the last comma
return new_string.sub(/,\s*\Z/,'')
end
end
Outputter::TEMPLATE = <<'TEMPLATE'
<% if opts.app_name %>
require 'wx'
<% if opts.namespace %>
module <%= opts.namespace %>
end
<% end %><% end %>
# This class was automatically generated from XRC source. It is not
# recommended that this file is edited directly; instead, inherit from
# this class and extend its behaviour there.
#
# Source file: <%= klass.file_name %>
# Generated at: <%= Time.now %>
class <%= fq_name(klass.sub_class) %> < <%= klass.superclass %>
::XRCISE_LOADED = Hash.new unless defined?(::XRCISE_LOADED)
<% if not klass.controls.empty? %><% ids = klass.controls.map { | ctrl | ":#{ctrl.name.downcase}" }.join(', ') %>
attr_reader <%= clean_id_attr_readers(ids) %>
<% end %>
def initialize(parent = nil)
super()
xml = Wx::XmlResource.get
unless ::XRCISE_LOADED["<%= klass.file_name %>"]
xml.load("<%= klass.file_name %>")
::XRCISE_LOADED["<%= klass.file_name %>"] = true
end
xml.<%= klass.load_func %>(self, parent, "<%= klass.base_id %>")
finder = lambda do | x |
int_id = Wx::xrcid(x)
Wx::Window.find_window_by_id(int_id, self) || int_id
end
<% klass.controls.each do | ctrl | %>
@<%= ctrl.name.downcase %> = finder.call("<%= ctrl.name %>")<% if ctrl.sub_class %>
@<%= ctrl.name.downcase %>.extend(<%= fq_name(ctrl.sub_class) %>)<% end %><% end %>
end
end
<% if opts.app_name %>
class <%= opts.app_name %> < Wx::App
def on_init
f = <%= opts.module_name %>::<%= fq_name(klass.sub_class) %>.new
f.show
end
end
<%= opts.app_name %>.new.main_loop
<% end %>
TEMPLATE
</s>
|
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24153,
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1402,
3460,
18417,
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12840,
5306,
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5,
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3384,
1621,
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15701,
2192,
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1901,
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12008,
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5313,
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1621,
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1102,
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3689,
5038,
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1467,
2239,
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6826,
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1622,
1443,
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64,
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1621,
3473,
1804,
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1102,
5,
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2772,
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5419,
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2239,
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1621,
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2540,
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5,
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5,
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1102,
5,
1614,
11367,
3109,
1855,
2549,
1363,
1397,
33273,
2220,
1998,
1581,
59321,
1368,
2549,
5262,
1383,
5131,
1534,
1538,
14141,
53697,
1622,
47324,
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1102,
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1621,
1355,
1466,
1501,
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1622,
1443,
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1102,
5,
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2137,
3689,
5038,
1538,
2331,
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1688,
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1557,
1397,
1557,
2001,
53697,
1622,
1443,
11915,
1102,
5,
1614,
2137,
1720,
2772,
1538,
2331,
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1688,
1581,
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1368,
2549,
5262,
1102,
5,
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1102,
5,
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1968,
3643,
1914,
2463,
59360,
1688,
59360,
20562,
3460,
2331,
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1688,
59360,
59322,
1557,
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1102,
5,
6,
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1102,
5,
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6,
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14141,
59320,
64,
2276,
41226,
16787,
59360,
1688,
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14141,
59375,
1102,
5,
6,
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1909,
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2331,
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1557,
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1102,
5,
1102,
5,
6,
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1567,
7525,
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64,
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1538,
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14141,
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1538,
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62,
62,
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1504,
1102,
5,
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4610,
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64,
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1688,
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1557,
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10460,
1102,
5,
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1102,
5,
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5,
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1720,
1538,
2331,
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1688,
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64,
21463,
1734,
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1102,
5,
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5,
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5,
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5,
1614,
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24806,
1581,
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23929,
1901,
21692,
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1830,
1436,
1381,
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14670,
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5,
1614,
1621,
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1577,
1397,
1364,
23929,
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1765,
14357,
1621,
3473,
35860,
1514,
1792,
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40469,
1102,
5,
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1102,
5,
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3689,
2772,
1538,
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1438,
1621,
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1804,
5419,
1792,
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1389,
1102,
5,
1614,
2137,
3689,
1650,
1538,
14141,
3477,
59392,
53697,
1622,
47324,
1577,
26425,
4326,
59324,
2001,
1621,
1765,
8529,
1538,
59346,
1438,
63,
59324,
1102,
5,
1614,
2137,
1720,
2772,
1538,
2331,
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1688,
1581,
59321,
1368,
2549,
5262,
1102,
5,
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1102,
5,
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2331,
59360,
1688,
3460,
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1438,
16525,
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59347,
1102,
5,
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1102,
5,
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6,
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14141,
59320,
64,
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63,
1754,
41226,
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1688,
59360,
14141,
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1102,
5,
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5,
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1720,
1538,
2331,
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1688,
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64,
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3460,
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1538,
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5,
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1102,
5,
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5,
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1102,
5,
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59360,
8514,
1868,
3384,
1397,
59392,
10705,
2192,
40250,
1368,
2549,
29475,
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1496,
3478,
21692,
1390,
59354,
12008,
4337,
5313,
59334,
1621,
14685,
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1471,
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1102,
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1820,
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16088,
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3384,
1397,
59392,
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2549,
29475,
2001,
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3473,
1804,
21505,
10461,
3776,
4251,
59342,
1102,
5,
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1383,
1438,
45131,
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72,
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1102,
5,
1614,
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2772,
1538,
2331,
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1581,
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1368,
2549,
5262,
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24199,
1577,
2192,
40250,
3384,
11067,
1102,
5,
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2137,
3689,
5038,
1538,
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16535,
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1591,
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8529,
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21692,
12008,
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5313,
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1621,
3473,
1804,
5419,
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1102,
5,
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1102,
5,
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1968,
3643,
1914,
3370,
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2331,
59360,
3762,
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1538,
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6,
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8514,
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<s> <?php
require 'Model_2.class.php';
/**
* Model_premium
*
* Ova klasa sadrzi metode za generisanje hash koda, njegovo implementiranje
* u vec definisani "recnik", kriptovanje/dekriptovanje teksta na osnovu ovog
* recnika i smestanje/pozivanje kriptovanih fajlova u/iz odredjene foldere/a.
*
* @author Vladimir Terescenko <[email protected]>
* @copyright 2014
* @license http://php.net/license/3_01.txt PHP License 3.01
*/
class Model_premium extends Model_2 {
/**
* public static variable
*
* @var string $folder_keys ime foldera u koji se ubacuju kljucevi za desifrovanje
*/
public static $folder_keys = 'kljucevi';
/**
* public static variable
*
* @var string $folder_messages ime foldera u koji se ubacuju sifrovane poruke
*/
public static $folder_messages = 'poruke';
/**
* public static variable
*
* @var int $folder_name_limit broj karaktera u imenu fajlova u folderu za kljuceve
*/
public static $folder_name_limit = '26';
/**
* public static variable
*
* @var string $extension_keys extenzija fajlova u folderu za kljuceve
*/
public static $extension_keys = '.kpt';
/**
* public static variable
*
* @var string $extension_messages extenzija fajlova u folderu za poruke
*/
public static $extension_messages = '.mpt';
/**
* Generise hash duzine 40 karaktera isecen je tako da vraca samo 4 karaktera
* ta 4 karaktera dodaje svakom clanu $recnik-a stvarajuci grugaciji recnik
* svaki put kada se metoda pozove.
*
* @param array $recnik asocijativni niz po principu karakter => kriptovana vrednost
* @param string $spc slucajno izabrani karakter koji predstavlja jedan od delimitera
* @param string $spc2 slucajno izabrani karakter koji predstavlja jedan od delimitera
* @return array $hash predstavlja recnik na osnovu koga se vrsi kripcija
*/
public static function hash_generator($recnik, $spc, $spc2)
{
$seed = "qwertyuiopasdfghjklzxcvbnmQWERTYUIOPASDFGHJKLZXCVBNM1234567890~!@#$ %^&*()_+`-=[]\{}|;'':\"\",./<>?";
foreach ($recnik as $key => $value) {
$hash[$key] = $spc2.$spc.substr(sha1(uniqid($seed.mt_rand(),true)),10,4);
}
return $hash;
}
/**
* Metodom tekst_u_kod1() iz class Model_1 se vrsi primarna kripcija koja se
* nastavlja tako sto svakom karakteru iz stringa dobijenom primarnom kripcijom
* se dodeljuje nova vrednost koristeci "hash recnik".
*
*
* @param string $tekst tekst koji se kriptuje
* @param array $recnik asocijativni niz po principu karakter => kriptovana vrednost
* @param array $promena asocijativni niz po principu cirilicni/latinicni karakter => nova vrednost
* @param array $hash predstavlja recnik na osnovu koga se vrsi kripcija
* @return string $hashPrevod kriptovani tekst
*/
public static function tekst_u_hash_kod($tekst, $recnik, $promena, $hash)
{
$prevod = self::tekst_u_kod1($tekst, $recnik, $promena);
$hashData = str_split($prevod);
foreach($hashData as $slovo) {
$hashPrevod[] = $hash[$slovo];
}
return $hashPrevod = implode($hashPrevod);
}
/**
* Dekriptuje tekst kriptovan pomocu "hash recnika", pomazuci se metodama
* kod_u_tekst1() iz class Model_1 i kod_u_tekst2 iz class Model_2
*
* @param string $hash_fajl tekst u kome je smesten recnik na osnovu koga se dekriptuje
* @param array $recnik asocijativni niz po principu karakter => kriptovana vrednost
* @param string $kod kriptovani tekst
* @param array $promena_rev asocijativni niz $promena kome su kljucevi i vrednosti zamenili mesta
* @return string $nesto dekriptovani tekst
*/
public static function hash_kod_u_tekst($hash_fajl, $recnik, $kod, $promena_rev)
{
$hash_niz = str_split($hash_fajl);
$delimiter = $hash_niz[0];
$file_to_niz = explode($delimiter, $hash_fajl);
$elementi_niza = array_slice($file_to_niz, 1, count($file_to_niz));
$obrnuti_recnik = array_flip($recnik);
$recnik_za_defifrovanje = array_combine($obrnuti_recnik,$elementi_niza);
$prevod = self::kod_u_tekst2($kod, $recnik_za_defifrovanje, $promena_rev);
return $nesto = self::kod_u_tekst1($prevod, $recnik, $promena_rev);
}
/**
* Na slucajan nacin generise ime fajla duzine $limit karaktera
* koristeci karaktere iz niza $file_name_niz
*
* @param array $file_name_niz niz sa karakterima
* @return string $file_name ime fajla
*/
public static function file_name_generator($file_name_niz)
{
$limit = self::$folder_name_limit;
shuffle($file_name_niz);
for ($i = 0; $i < $limit; $i++) {
$r[] = $file_name_niz[$i];
}
return $file_name = implode($r);
}
/**
* Vraca ime fajla u kome se nalazi recnik za desifrovanje
* koje se nalazi na kraju kriptovanog teksta
*
* @param string $kod kriptovani tekst
* @param int $limit broj karaktera se odseca sa kraja $kod-a
* @return string $file_name ime fajla
*/
public static function get_file_name($kod,$limit)
{
$limit = -self::$folder_name_limit;
return $file_name = substr($kod, $limit);
}
/**
* Pravi folder $folder_keys i u njega smesta fajlove sa "recnikom" na osnovu koga se vrsi dekripcija,
* pravi folder $folder_messages i u njega smesta fajlove sa kriptovanim porukama,
* dodaje odgovarajuce ekstenzije $extension_keys i $extension_messages.
*
* @param string $file_name ime fajla koji se smesta u folder
* @param array $hash predstavlja recnik na osnovu koga se vrsi kripcija
* @param string $hashPrevod kriptovani tekst
*/
public static function put_file_content($file_name, $hash, $hashPrevod)
{
$ext_keys = self::$extension_keys;
$ext_msg = self::$extension_messages;
$folder1 = self::$folder_keys;
$folder2 = self::$folder_messages;
$sha = sha1($hashPrevod);
if (!file_exists($folder1) && !file_exists($folder2)) {
mkdir($folder1);
file_put_contents("{$folder1}/{$file_name}{$ext_keys}", $hash);
file_put_contents("{$folder1}/index.html", "");
mkdir($folder2);
file_put_contents("{$folder2}/{$sha}{$ext_msg}", $hashPrevod);
file_put_contents("{$folder2}/index.html", "");
} else {
file_put_contents("{$folder1}/{$file_name}{$ext_keys}", $hash);
file_put_contents("{$folder2}/{$sha}{$ext_msg}", $hashPrevod);
}
}
/**
* Preuzima sadrzaj fajlova odredjenog imena i extenzije.
*
* @param string $file_name ime fajla koji se preuzima
* @param string $folder ime foldera odakle se preuzima fajl
* @param string $extension ekstenzija fajla koji se preuzima
* @return string sadrzaj trazenog fajla
*/
public static function get_file_content($file_name, $folder, $extension)
{
return file_get_contents("{$folder}/{$file_name}{$extension}");
}
/**
* Odstranjuje deo stringa koji se nalazi na kraju kriptovanog teksta.
*
* @param string $file_name ime fajla koji se preuzima
* @param string $kod kriptovani tekst sa cijeg kraja se odstranjuje deo teksta
*
* @return string cista kriptovana poruka
*/
// odstranjuje deo stringa koji se nalazi na kraju
// kriptovane poruke koji predstavlja ime fajla
// u kome je smesten kljuc za dekriptovanje
public static function clear_code($kod, $file_name)
{
return chop($kod, $file_name);
}
}
?></s>
|
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<s> Everyday people
Every one of us has a famous or smart people that inspire us and who we listen to. These people can influence us on so many levels. These people are called opinion leaders. What I'm interested in is the ways we actually listen to the opinion leaders. A powerful opinion leader can slightly or completely change the way we think. The influence of powerful opinion leaders is just amazing and history is full of great examples like Churchill, Hitler or Martin Luther King, Jr. Opinion leaders can influence our thinking in good and bad ways.
Some people are fine with the opinion leader being just a celebrity who's looking good and selling you stuff. I want my opinion leader to be neutral and trustworthy. Perhaps the best example I can think of is Al Gore. His fight against the climate change got me interested in it. He even got a lot of US citizens to recognize that the climate change is a real thing and that takes some serious opinion leadership skills.
Opinion leaders are people and organizations that us common people listen to and learn from. They are the best in their own field or sometimes they know something about everything. The most important thing for me about opinion leaders is objectivity. An opinion leader tells his opinion based on his knowledge on the matter. However, in marketing I don't see that knowledge is everything.
Using the force of influence wrongly
In the 60's cigarette companies hired scientists and doctors to speak for the benefit of smoking, even though it was a known fact even then that smoking is bad for you. People of course believed these adverts where a smart doctor tells you that smoking is good for you. These doctors were opinion leaders in smoking, even though they should have not been. Common people have always been a bit simple and gullible. People these days would not believe an ad where a doctor tells that smoking is healthy, but they do believe other things that are not true or believe people who are being paid to praise a product. So opinion leaders are perfect for marketing. A good opinion leader can make a turd look like a diamond or a good opinion leader can brainwash people to buy overpriced products from a tech Company that is named after a fruit. Yeah, you know what I'm talking about.
Here is a ridiculous ad where a doctor advertises for benefit of smoking:
Everything leads up to stupid people
In a world that makes sense, opinion leaders are people with education, expertise, objectivity and credibility in their own field. In a perfect world people are also smart, money grows in trees and Arsenal actually wins the premier league. Unfortunately we don't live in a world that makes sense and that's why a person can be an opinion leader just by being famous or really charismatic.
I wonder if there ever is going to be a time when people actually can think for themselves and are not so gullible. As a marketer, I really hope so because gullible and stupid people make marketers job too easy.
2 Responses to I'm going to give an opinion you can't refuse
"A good opinion leader can make a turd look like a diamond". That is so true! Nowadays it is so easy to fool people. If they admire you, they believe everything you say. For the marketers this is good thing, but like you said, it is quite sad that people are so stupid that they trust almost everything what example celebrity they admired says.</s>
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<s> using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
namespace CCTVClient.Data
{
public class AnalogDataItem:MCUDataAsset
{
public Int32 MaxValue{get;set;}
public Int32 MinValue{get;set;}
public Int32 ActualMax{get;set;}
public Int32 ActualMin{get;set;}
public string Units{get;set;}
public AnalogDataItem(string name,Int32 val=0,Int16 max=1024, Int16 min=0, String unitsin="UNIT", Int16 actualMin = 0, Int16 actualMax = 1024)
: base()
{
rawDataName = name;
value = val;
MaxValue = max;
MinValue = min;
Units = unitsin;
ActualMax = actualMax;
ActualMin = actualMin;
}
public int GetRealValue(){
return (int)(((GetPct()) * (MaxValue - MinValue)) + MinValue);
}
public float GetPct()
{
return ((value - ActualMin) / (float)(ActualMax - ActualMin));
}
override public String FormatDataForSave()
{
String xmlString = "";
xmlString += "<DATAINSTANCE type='ANALOG'>\r\n\t";
xmlString += "<RAWNAME>";
xmlString += rawDataName;
xmlString += "</RAWNAME>\r\n\t";
xmlString += "<REFINEDNAME>";
xmlString += refinedDataName ;
xmlString += "</REFINEDNAME>\r\n\t";
xmlString += "<DESCRIPTION>";
xmlString += dataDescription ;
xmlString += "</DESCRIPTION>\r\n\t";
xmlString += "<MINVALUE>";
xmlString += MinValue.ToString() ;
xmlString += "</MINVALUE>\r\n\t";
xmlString += "<MAXVALUE>";
xmlString += MaxValue.ToString() ;
xmlString += "</MAXVALUE>\r\n\t";
xmlString += "<UNITS>";
xmlString += Units ;
xmlString += "</UNITS>\r\n\t";
xmlString += "<MINACTUALVALUE>";
xmlString += ActualMin.ToString() ;
xmlString += "</MINACTUALVALUE>\r\n\t";
xmlString += "<MAXACTUALVALUE>";
xmlString += ActualMax.ToString() ;
xmlString += "</MAXACTUALVALUE>\r\n\t";
xmlString += "</DATAINSTANCE>\r\n\t";
return xmlString;
}
override public String GetType()
{
return "ANALOG";
}
override public String GetValueFormatted()
{
return GetRealValue().ToString();
}
override public String ToString()
{
return "RAW: " + rawDataName + ", REFINED: " + refinedDataName + ", DESCRIPTION: " + dataDescription + ", VAL: " + value;
}
override public String ToHTML()
{
return "<div class=\"sensorOutput\">" + ToSpecificHTML(MCUDataATTR.DATA_TYPE) + ToSpecificHTML(MCUDataATTR.DATA_ACTUAL_NAME) + ToSpecificHTML(MCUDataATTR.DATA_REFINED_NAME) + ToSpecificHTML(MCUDataATTR.DATA_DETAILS) + ToSpecificHTML(MCUDataATTR.DATA_ACTUALMIN) + ToSpecificHTML(MCUDataATTR.DATA_ACTUALMAX) + ToSpecificHTML(MCUDataATTR.DATA_MIN) + ToSpecificHTML(MCUDataATTR.DATA_MAX) + ToSpecificHTML(MCUDataATTR.DATA_UNITS) + ToSpecificHTML(MCUDataATTR.DATA_VALUE) + "</div><br/>";
}
public override string ToSpecificHTML(ushort param)
{
switch (param)
{
case MCUDataATTR.DATA_TYPE:
return "<b class=\"sensorType\">Analog</b>\n";
case MCUDataATTR.DATA_ACTUAL_NAME:
return "Raw Name:</b><label class=\"sensorRaw\"> " + rawDataName + "</label>\n";
case MCUDataATTR.DATA_REFINED_NAME:
return "<b class=\"sensorAttrName\">Refined Name:</b><label class=\"sensorRefined\"> " + refinedDataName + "</label>\n";
case MCUDataATTR.DATA_DETAILS:
return "<b class=\"sensorAttrName\">Details:</b><label class=\"sensorDetails\"> " + dataDescription + "</label>\n";
case MCUDataATTR.DATA_VALUE:
return "<b class=\"sensorAttrName\">Current Value:</b><label class=\"sensorVal\"> " + value.ToString() + "</label>\n";
case MCUDataATTR.DATA_UNITS:
return "<b class=\"sensorAttrName\">Details:</b><label class=\"sensorUnits\"> " + Units + "</label>\n";
case MCUDataATTR.DATA_MIN:
return "<b class=\"sensorAttrName\">Minumum Value:</b><label class=\"sensorMin\"> " + MinValue.ToString() + "</label>\n";
case MCUDataATTR.DATA_MAX:
return "<b class=\"sensorAttrName\">Maximum Value:</b><label class=\"sensorMax\"> " + MaxValue.ToString() + "</label>\n";
case MCUDataATTR.DATA_ACTUALMIN:
return "<b class=\"sensorAttrName\">Minumum Actual Value:</b><label class=\"sensorActualMin\"> " + ActualMin.ToString() + "</label>\n";
case MCUDataATTR.DATA_ACTUALMAX:
return "<b class=\"sensorAttrName\">Maximum Actual Value:</b><label class=\"sensorActualMax\"> " + ActualMax.ToString() + "</label>\n";
default:
return "<b class=\"error\">!Parameter not valid</b>\n";
}
}
}
}
</s>
|
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] |
<s> What constitutes the content engine?
The content engine, a key component of the Lokalise architecture, facilitates the construction of hosted content applications. It manages common functionalities such as user interfaces, standard installation, configuration, and content management processes, and utilizes connectors to interact with third-party platform APIs.
What is the role of a connector?
A connector, essentially a service, acts as a bridge between the Lokalise content engine and external content platforms like Freshdesk. It is hosted on Lokalise and enables the exchange of translatable content between the two platforms.
For those aspiring to build their own app, what are the initial steps?
Firstly, conduct a feasibility assessment to determine the type of content you wish to translate on Lokalise and ensure your content management platform meets the necessary requirements to implement a connector. This typically involves API endpoints for authorization and content reading/writing.
Expressing interest in building a new app
We encourage you to let us know about your plans. This will allow us to provide further assistance and prepare for the app review. You can use the App submission portal or contact us at [email protected] with details about your app.
Is it possible to build a content app with restricted company visibility?
Yes, this is indeed feasible.
Are there any general technical requirements?
Yes, you can find these in the App review checklist document. While connector templates provide a good starting point, remember to:
- Follow the coding standards of the respective language(s) and framework(s) in your deliverable code.
- Include comprehensive documentation describing the functionality and logic of your code, either as a separate document or inline comments.
- Test your app thoroughly, ideally with an automated test suite.
Is building a connector always possible?
The feasibility of building a connector depends on the specific requirements and capabilities of the third-party platform in question.
Indeed, constructing a connector isn't always feasible or practical. Here are several common scenarios:
- The content platform lacks an API for managing content items, or its API has severe restrictions that hinder content exchange.
- The platform doesn't support multilingual content, and there's no viable workaround.
- In such cases, one might explore third-party plugins that facilitate multilingual support.
- Alternatively, consider storing translated content using branches, tabs, groups, or other ad-hoc components, ensuring these are API-accessible.
- As a last resort, create translated copies of the main content and link them using custom attributes.
For platforms with multi-element items, Lokalise can import/export and link these elements to individual translation keys, and even group related items.
Lokalise supports two authorization methods:
- API tokens: Manually generated by users and sent with every API request; connectors require read/write tokens.
- OAuth 2.0: Allows connectors to act on behalf of users without manual token generation, with user-granted permissions.
We provide templates for connector apps. Once your app is ready:
- Review the App review checklist to ensure it meets our requirements.
- Follow the 'Review and publish your app' document, performing the specified steps.</s>
|
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59369,
5,
59369,
2
] |
<s> <?php
namespace App\Services\ESPManagers\SailThru;
class Event extends SailThru
{
var $_method = 'email';
public function __construct()
{
// do something
}
public function Send($email,$event,$value='')
{
// create data array
$data = array(
'event' => $event,
'id' => $email,
'email' => $email,
'vars' => array(
'value' => $value
)
);
// start job
return $this->API($this->_method,$data);
}
}</s>
|
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3098,
4313,
1348,
3718,
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72,
2
] |
<s> Keto Blast - Suppress Your Appetite Naturally!
Keto Blast - Cover the lid and microwave for 3 minutes, take out the bowl, turn again the mixture in the bowl with the spoon. If you're a busy person and if your hectic busy schedule doesn't allow you to maintain a healthy life or diet then you definitely take a break and consider a corrective measure as soon as possible. Alcohol will leave you sore longer after you exercise, meaning it will take you longer to recuperate.
However, a GNLD distributor will compete with a growing list of companies that provide the same business model, selling health and wellness products through a distributor network. In this short weight reduction presentation I will show you a somewhat unusual fat loss strategy which will help you get a flatter belly within 7 days, while still enjoying the foods you adore. Hi Shiva, Awesome show by these amazing ladies, they had so much physical ailments but still they are so determined in their approach.
Finally, you can start wearing clothes you really want to wear! But, the thing that a must understand is that, the person who want to get rid of the fats, should be a real stubborn. Each person is unique having individual physical requirements. Therefore, exercising like crunch, use abdomen, swabs for lungs and hips. Does it sound like something you can do? Just like when you started out that isn't diet, the weaning period also requires a lot of support and guidance belonging to the parents. But it really makes a lot of sense.</s>
|
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] |
<s> // tslint:disable: max-classes-per-file
import { BaseCard } from "../cards/base-card";
import { BaseCardParser } from "./base-card-parser";
class TestCard extends BaseCard {
public type = "FactCard";
}
class BasicBaseCardParser extends BaseCardParser<TestCard> {
constructor(private defaultTags: string[]) {
super();
}
protected createCard(): TestCard {
return new TestCard();
}
protected parseAttributes(rootXml: Element, card: TestCard) {}
protected parseElement(element: Element, card: TestCard): boolean { return false; }
protected getDefaultAttributes() {
return this.defaultTags;
}
}
it("should deserialize all attributes", () => {
const data = `
<Root>
<FactCard id="9h348h" willPower="4" tags="nice,wow">
</FactCard>
</Root>`;
const parser = new DOMParser();
let element = parser
.parseFromString(data, "text/xml")
.getElementsByTagName("FactCard")[0];
let cardParser = new BasicBaseCardParser([]);
const card = cardParser.deserialize(element);
expect(card.id).toBe("9h348h");
expect(card.willPower).toBe(4);
expect(card.tags).toEqual(["nice", "wow"]);
});
it("should deserialize minimal attributes", () => {
const data = `
<Root>
<FactCard id="9h348h">
</FactCard>
</Root>`;
const parser = new DOMParser();
const element = parser
.parseFromString(data, "text/xml")
.getElementsByTagName("FactCard")[0];
const cardParser = new BasicBaseCardParser(["fun"]);
const card = cardParser.deserialize(element);
expect(card.id).toBe("9h348h");
expect(card.willPower).toBeUndefined();
expect(card.tags).toEqual(["fun"]);
});
it("should deserialize zero will power to undefined", () => {
const data = `
<Root>
<FactCard id="1" willPower="0">
</FactCard>
</Root>`;
const parser = new DOMParser();
const element = parser
.parseFromString(data, "text/xml")
.getElementsByTagName("FactCard")[0];
const cardParser = new BasicBaseCardParser([]);
const card = cardParser.deserialize(element);
expect(card.willPower).toBeUndefined();
});
it("should parse player", () => {
const data = `
<Root>
<FactCard id="1">
<FactCard.players>
<Player gender="m" />
</FactCard.players>
</FactCard>
</Root>`;
const parser = new DOMParser();
const element = parser
.parseFromString(data, "text/xml")
.getElementsByTagName("FactCard")[0];
const cardParser = new BasicBaseCardParser([]);
const card = cardParser.deserialize(element);
expect(card.players).toHaveLength(1);
expect(card.players[0]).toEqual({playerIndex: 1, gender: "Male"});
});
it("should parse players", () => {
const data = `
<Root>
<FactCard id="1">
<FactCard.players>
<Player1 gender="m" />
<Player2 gender="f" />
</FactCard.players>
</FactCard>
</Root>`;
const parser = new DOMParser();
const element = parser
.parseFromString(data, "text/xml")
.getElementsByTagName("FactCard")[0];
const cardParser = new BasicBaseCardParser([]);
const card = cardParser.deserialize(element);
expect(card.players).toHaveLength(2);
expect(card.players[0]).toEqual({playerIndex: 1, gender: "Male"});
expect(card.players[1]).toEqual({playerIndex: 2, gender: "Female"});
});
</s>
|
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2
] |
<s> Dependence and Compulsive Behaviors
This discourse extends beyond mere drug discourse, delving into the realm of all manner of dependencies. Historically, the term 'addiction' has been inextricably linked with drug abuse in my mind, leading me to overlook its presence in more innocuous aspects of life. Upon reflection, I recognized my own dependencies on iced coffee, music, and naps. I often feel that navigating my day without these elements would be an insurmountable challenge, a sentiment echoed by many of my peers. We had previously dismissed these behaviors as mere preferences, but now, having engaged with the essay, I find myself in agreement with Slater's assertion that Americans, as a collective, exhibit pronounced addictive tendencies.
Slater's thesis posits that Americans are not inherently 'ignorant, misguided, inadequate, incompetent, or undesirable', nor any other pejorative label, but rather, societal expectations of success foster a self-perpetuating cycle of dependency and self-deprecation.
As posited by Slater in his essay, Americans exhibit a penchant for swift remedies, favoring immediate solutions over thorough consideration of all potential options. So long as the resolution is expeditious, lucrative, and addresses the problem at hand, Americans tend to be content. This inclination towards avoidance has historically manifested in various forms, including the use of substances like alcohol and drugs to numb the pain of failure, rather than confronting issues head-on. An anecdotal example involves a friend who resorts to napping when faced with problems, believing that sleep provides a temporary respite from concerns and enhances her ability to tackle them upon waking.
Moreover, individuals of my generation have developed an unprecedented dependence on the internet, rendering it an integral part of our daily lives. Simple tasks that were once manageable without connectivity now require an internet connection, and navigating unfamiliar territories, recalling phone numbers, and other such activities have become challenging in the absence of this digital tool. While an initial period of disorientation would likely ensue should the internet cease functioning, it is reasonable to expect that, given time, individuals would adapt and learn to navigate life without it, much as they have integrated it into their daily routines.</s>
|
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21771,
2596,
16461,
72,
2
] |
<s> On the Bali Academy of Underwater Photography's website, we regularly publish new "How-To" guides, each providing concise instructions for photography and image creation techniques. The latest addition, "How to Capture the Perfect Underwater Silhouette," is now available in its entirety on the BAUP site's "How-To" page.
A well-executed silhouette is a simple yet striking example of underwater photography. Despite their intricate appearance, silhouettes often excel due to their composition rather than complex technical settings. With a few tips, anyone can master the art of capturing stunning silhouettes. Here are five key pointers to help you get started:
1. Employ a fast shutter speed: It's the shutter speed that captures the light rays, so use the highest speed possible. Remember to disable your internal flash if using fiber optics, as it can limit your shutter speed capabilities.
2. Block the sun: Position your main subject or frame the shot to exclude the sun, allowing the light rays to take center stage and avoiding overexposure from a bright sunball.
3. Avoid excessively high f-stops: Higher f-stops result in darker edges, so for a silhouette to stand out against a vibrant blue background, an f-stop between f8 and f11 is ideal.
4. Select a recognizable subject: Large marine creatures like manta rays, sharks, and turtles make excellent subjects for silhouettes due to their distinct shapes.
When photographing in natural light underwater, I occasionally deviate from Manual mode, opting instead for Shutter Priority. By setting the camera to this mode and selecting a shutter speed of 1/500, I can effectively capture the sun's rays, provided I frame my shot correctly and the sunlight is optimal. Given the significance of sun rays in creating a compelling silhouette, ensuring the right shutter speed is my primary concern. This allows the camera to automatically adjust the aperture, enabling me to maintain a swift pace while shooting.</s>
|
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59516,
72,
5,
5,
5,
5,
1588,
46837,
1499,
11560,
1588,
5,
5,
59379,
7555,
19933,
1499,
59358,
1345,
2011,
59383,
59348,
59374,
59320,
59349,
59500,
59374,
44867,
2132,
2366,
59374,
2011,
1410,
4452,
1379,
2148,
59353,
59516,
72,
5,
5,
59379,
14289,
19933,
1499,
59358,
1345,
2011,
59383,
59348,
59374,
59320,
59349,
59500,
59374,
9585,
72,
5,
5,
5,
5,
5,
25594,
5336,
1520,
59358,
1709,
59469,
1927,
1613,
2380,
2280,
1812,
47214,
72,
1547,
59359,
1927,
1613,
59347,
72,
5,
2
] |
<s> 1038. Number of Squareful Arrays | Algorithms | Hard | Math, Backtracking, Graph
[TOC]
## Solution
---
#### Approach 1: Backtracking
**Intuition**
Construct a graph where an edge from $$i$$ to $$j$$ exists if $$A[i] + A[j]$$ is a perfect square. Our goal is to investigate Hamiltonian paths of this graph: paths that visit all the nodes exactly once.
**Algorithm**
Let's keep a current `count` of what values of nodes are left to visit, and a count `todo` of how many nodes left to visit.
From each node, we can explore all neighboring nodes (by value, which reduces the complexity blowup).
Please see the inline comments for more details.
**Complexity Analysis**
* Time Complexity: $$O(N^N)$$, where $$N$$ is length of `A`. A tighter bound is outside the scope of this article. However, it can be shown that the underlying graph is triangle free, as well as other properties that would dramatically shrink this complexity.
* Space Complexity: $$O(N)$$.
---
#### Approach 2: Dynamic Programming
**Intuition**
As in *Approach 1*, construct an underlying graph. Since the number of nodes is small, we can use dynamic programming with a 'visited' mask.
**Algorithm**
We construct the graph in the same method as in *Approach 1*.
Now, let `dfs(node, visited)` be the number of ways from `node` to visit the remaining unvisited nodes. Here, `visited` is a mask: `(visited >> i) & 1` is true if and only if the `i`th node has been visited.
Afterwards, we may have overcounted if there are repeated values in `A`. To account for this, for every `x` in `A`, if `A` contains `x` a total of `k` times, we divide the answer by `k!`.
**Complexity Analysis**
* Time Complexity: $$O(N 2^N)$$, where $$N$$ is length of `A`.
* Space Complexity: $$O(N 2^N)$$.
Analysis written by: [@awice](https://leetcode.com/awice).
</s>
|
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] |
<s> Corey Cogdell
Hometown: Eagle River, AK Sport: Shooting
After an amazing come from behind (insert "that's what she said" joke here) victory in trials, the adorable Corey Cogdell earned a last minute spot on this year's team, though that situation is nothing new to her. That's exactly how she made it on the 2008 team, where she took home a bronze medal. Let's hope history repeats itself.</s>
|
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] |
<s> E-cigarettes: A Healthier Alternative?
An e-cigarette, essentially, is an electronic device designed to mimic traditional smoking. It comprises an electronic atomizer, a battery, and a reservoir such as a tank or cartridge. Instead of tobacco smoke, users inhale vapor, hence the term "vaping."
Vaping has emerged as a popular alternative to conventional cigarettes, primarily due to its reduced health risks. Many users report fewer discomforts compared to traditional smoking. However, the lack of transparency from e-cigarette manufacturers regarding their product ingredients raises concerns about potential harm from vapor inhalation. Ongoing lawsuits and regulatory debates reflect these uncertainties.
The unregulated sale of e-cigarettes by manufacturers suggests a degree of consumer self-regulation. Critics argue that this could be a profit-driven strategy rather than a commitment to public health. While some believe that widespread adoption of e-cigarettes could eventually eliminate tobacco, others caution about the long-term health impacts and the possibility of tobacco's enduring market presence.
It is plausible that tobacco companies' interest in e-cigarettes will persist, but it is uncertain whether e-cigarettes will fully replace traditional cigarettes. Studies indicate that younger smokers are less likely to quit, which may hinder e-cigarettes' market penetration. Thus, e-cigarettes' role in the tobacco market may remain significant but not dominant.
Numerous e-cigarettes, typically low in tar, mimic conventional cigarettes' behaviour, explaining their youth appeal. The primary allure of switching to e-cigarettes is their reduced offensive odour compared to traditional cigarettes, which emit a cloud of hundreds of chemicals and toxins, causing discomfort and damaging the environment. While some prefer the traditional cigarette's taste over e-cigarette vapour, many find the latter equally, if not more, satisfying. With options ranging from mimicking standard cigarettes to healthier alternatives, e-cigarettes cater to diverse preferences. Whether seeking to quit smoking or reduce its harmful effects, e-cigarettes offer a viable alternative worth exploring.</s>
|
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] |
<s> Following the rebel Cylon basestar's departure, the narrative shifts to the colonial fleet, raising several critical questions: who assumes control of the civilian government, and how does Adama respond to President Roslin's sudden disappearance? Despite my personal assessment that this episode was not exceptional, it did contain intriguing elements.
Romo's exchange with Lee revealed a subtle yet significant aspect of his character: his pursuit of power and control, albeit through a patient and calculated approach, positioning himself as the optimal solution to prevailing issues.
Adama's actions, meanwhile, unveiled a surprising vulnerability: his love for Roslin. This emotion superseded his sense of duty, as demonstrated when he stepped down from command to await the basestar's return in a raptor. By openly acknowledging this weakness, Adama has potentially exposed himself to future exploitation.
Romo's backstory was further developed, allowing viewers to understand why Lee might empathize with him, given their shared experiences of regret stemming from leaving someone behind, as alluded to in the episode "Black Market".</s>
|
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2
] |
<s> import {
TestBed,
ComponentFixture
} from '@angular/core/testing';
import {
UserService
} from './user.service';
import {
AngularFireAuthModule,
AngularFireAuth
} from '@angular/fire/auth';
import {
AngularFirestoreModule,
AngularFirestore
} from '@angular/fire/firestore';
import {
SnackbarService
} from './snackbar.service';
import {
LoggerService
} from './logger.service';
import {
MatSnackBarModule
} from '@angular/material';
import {
AngularFireModule
} from '@angular/fire';
import {
environment
} from 'src/environments/environment';
import {
Observable,
of
} from 'rxjs';
let loggerSpy: jasmine.SpyObj < LoggerService > ;
let snackbarSpy: jasmine.SpyObj < SnackbarService > ;
let angularfireAuthSpy: jasmine.SpyObj<AngularFireAuth>;
let angularfirestoreSpy: jasmine.SpyObj<AngularFirestore>;
const AngularFireAuthMock = {
auth: {
},
authState: of ({})
};
const AngularFirestoreMock = {
doc: of ({})
};
describe('UserService', () => {
let component: UserService;
let fixture: ComponentFixture < UserService > ;
beforeEach(() => {
loggerSpy = jasmine.createSpyObj < LoggerService > ('LoggerService', ['logInfo']);
snackbarSpy = jasmine.createSpyObj < SnackbarService > ('SnackbarService', ['showSnackBar']);
angularfireAuthSpy = jasmine.createSpyObj<AngularFireAuth>('AngularFireAuth', ['auth', 'authState', 'user']);
angularfirestoreSpy = jasmine.createSpyObj<AngularFirestore>('AngularFirestore', ['doc']);
TestBed.configureTestingModule({
imports: [AngularFireModule,
MatSnackBarModule,
AngularFirestoreModule,
AngularFireAuthModule,
AngularFireModule.initializeApp(environment.firebase)],
providers: [UserService, {
provide: AngularFireAuth,
useValue: angularfireAuthSpy
}, {
provide: AngularFirestore,
useValue: angularfirestoreSpy
}, {
provide: SnackbarService,
useValue: snackbarSpy
}, {
provide: LoggerService,
useValue: loggerSpy
}]
}).compileComponents();
fixture = TestBed.createComponent(UserService);
component = fixture.componentInstance;
});
fit('should be created', () => {
const service: UserService = TestBed.get(UserService);
expect(service).toBeTruthy();
});
});
</s>
|
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5970,
1538,
15872,
59360,
3483,
59360,
2331,
5,
6,
5,
2
] |
<s> FROM terminator:v1
MAINTAINER Pierre-Henri Le Fur <[email protected]>
USER root
#Lib dependencies for QtCreator
RUN apt-add-repository ppa:beineri/opt-qt57-trusty && \
apt-get update && \
apt-get install -y qt57creator
COPY QtProject /home/docker_user/.config/QtProject
RUN chown -R docker_user /home/docker_user/.config/QtProject
USER docker_user
RUN shell_config_file=.${SHELL#/bin/}rc && \
printf "\nsource /opt/qt57/bin/qt57-env.sh" >> $shell_config_file
</s>
|
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10058,
19016,
59342,
21139,
51389,
1933,
72,
2
] |
<s> Kottke raised a very important question Friday for geek parents: in which order will you show your child the Star Wars movies? I've actually considered this at great length already. There are a lot of movies, books, and music important to me that I look forward to introducing to my daughter as she grows older, but Star Wars requires a game plan. For example, I intend to show her the episodes in original release order. Not only because the "first" episodes are barely watchable in the first place, but because whatever draw they do have is entirely based on their connections to the originals. However, I'm not going to split hairs about original versions vs. remastered versions. Some of the additions are pretty cool, and, sadly, my own cassettes have been lost to time.
I will, though, take pains to explain that in the real Star Wars, Han shoots first.</s>
|
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8516,
1426,
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1932,
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72,
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5,
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1580,
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1996,
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2009,
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1900,
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2189,
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72,
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2018,
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10649,
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63,
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16966,
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34322,
1377,
2158,
3266,
72,
1507,
1512,
34440,
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8029,
2018,
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1712,
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6939,
63,
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63,
4122,
6915,
72,
3519,
59342,
1527,
55800,
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1474,
72,
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12343,
2018,
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1377,
1479,
11013,
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1571,
2607,
1385,
8029,
2158,
12388,
1450,
11818,
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1709,
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72,
5,
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1410,
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35281,
1457,
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63,
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24431,
63,
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7811,
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1843,
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24210,
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1384,
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72,
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15923,
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63,
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72,
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20010,
1358,
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1379,
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12319,
8743,
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63,
4122,
2018,
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72,
3330,
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1457,
19300,
9682,
2286,
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14836,
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63,
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72,
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2018,
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10649,
16983,
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62,
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72,
6739,
2009,
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1981,
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63,
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2009,
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72,
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2009,
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2009,
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17423,
18933,
4246,
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1348,
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1900,
2372,
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<s> Examine Binarized Neural Networks (BNNs), a deep learning architecture that employs binary values for both activations and weights, unlike traditional models that use full precision values. This binary approach enables BNNs to perform computations using bitwise operations, significantly reducing execution time. Consequently, BNN models are notably more compact than their full precision counterparts. Although BNNs typically exhibit lower accuracy than full precision models, recent advancements have substantially narrowed this gap, demonstrating impressive performance on large datasets such as ImageNet. Moreover, BNNs' bitwise efficiency makes them well-suited for deep learning implementations on Field Programmable Gate Arrays (FPGAs) and Application-Specific Integrated Circuits (ASICs). This paper provides a comprehensive tutorial on the general BNN methodology and explores various contributions, implementations, and applications of BNNs.
In the realm of deep learning, the increasing complexity of neural networks presents challenges in terms of storage and computational power. Edge devices in the Internet of Things (IoT), small mobile devices, and power- and resource-constrained platforms all face limitations in adopting state-of-the-art DNNs. To address this, several solutions have been proposed, including BNNs, which aim to reduce the memory and computational demands of DNNs while maintaining the capabilities of full precision models. Among various binary-valued networks, this paper focuses on those based on the BNN methodology pioneered by Courbariaux et al. [1], which employs binary values for both weights and activations during both inference and backpropagation training. Since the original proposal, numerous studies have explored ways to enhance BNN accuracy and implement them on low-power, resource-constrained platforms. This paper offers an overview of BNN operation and reviews extensions to the original methodology.
This paper aims to elucidate the fundamentals of Binary Neural Networks (BNNs) and survey recent advancements in this burgeoning field. While most research has centered around the benefits accrued during inference, this work will also explore advantages during training. Given the significant interest from the digital design community, various Field Programmable Gate Array (FPGA) implementations of BNNs will be examined.
BNNs build upon preceding methods for quantizing and binarizing neural networks, which are reviewed in Section 3. To avoid confusion or ambiguity, Section 2 clarifies key terminology used throughout this review. The basic operational mechanics of BNNs are detailed in Section 4, while Section 5 outlines the principal contributions to the original BNN methodology. Techniques to enhance accuracy and inference speed are covered in Section 6. Section 7 presents the accuracies of diverse BNN implementations on various datasets. FPGA and Application-Specific Integrated Circuit (ASIC) implementations are highlighted in Sections 8.1 and 8.5, respectively.
Before delving into the intricacies of BNNs and their functioning, we clarify some terminology that will be employed throughout this review. Some terms in the literature are used interchangeably and can be ambiguous. Weights refer to learned values used in a dot product with activation values from preceding layers. In BNNs, these are real-valued weights that are learned and their binary counterparts used in the dot product with binary activations. Activations are the outputs from an activation function used in a dot product with the weights from the next layer. Sometimes, the term "input" is used instead of activation. We use "input" to refer to the network's input, not just the inputs to an individual layer. In BNNs, the output of the activation function is a binary value, and the activation function is the sign function.
Operations and Concepts in Neural Networks:
- Dot Product: In the context of neural networks, a "multiply accumulate" operation, akin to a dot product, transpires within the network's "neurons".
- Parameters: These are values that the network learns through backpropagation, encompassing weights, biases, gains, and other such elements.
- Bias: An additive scalar value, typically learned, found in batch normalization layers and specific Bayesian Neural Network (BNN) techniques.
- Gain: A scaling factor, often learned (though sometimes derived from statistics), similar to bias. Applied post-dot product between weights and activations, the term "gain" is used here to emphasize its relationship with bias.
- Topology: The specific arrangement of layers within a neural network. While "architecture" is commonly used in Deep Neural Network (DNN) circles, we opt for "topology" to avoid confusion with digital design and FPGA communities' use of "architecture" for hardware component layout.
- Architecture: The connection and layout of digital hardware, distinct from the topology of DNN models.
- Fully Connected Layer: For clarity, we use "fully connected layer" instead of "dense layer", as seen in some literature.
Background:
Several methods have been proposed to streamline DNNs, enhancing speed and reducing size without compromising accuracy. Howard et al. introduced channel-wise separable convolutions to decrease the total number of weights in convolutional layers [2]. Other low rank and weight sharing methods have been explored [3,4], aiming to maintain the same number of channels and kernel size while reducing the number of parameters for convolutional layers.
SqueezeNet, a network architecture, was developed to minimize the number of parameters used. It achieves this by substituting some 3×3 convolutional kernels with more 1×1 kernels and reducing the number of channels in these layers. This strategy significantly decreases the total number of parameters. Most deep neural networks (DNNs) are prone to overparameterization, and network pruning can help mitigate this by identifying and removing less impactful neurons, leading to sparser matrices and smaller networks with fewer computations.
Network quantization techniques, unlike pruning, reduce the bit width of values used in DNNs instead of decreasing the total number of parameters and activations. Traditionally, 32-bit floating-point values have been employed in deep learning. Quantization techniques use smaller data types, typically fixed-point calculations, to achieve reductions in model size. Theoretically, smaller data types can speed up arithmetic and fixed-point operations can be more efficient than floating-point ones. However, Gupta et al. demonstrated that reducing data precision in DNNs can lead to smaller model sizes with minimal accuracy loss [9].
It is worth noting that 32-bit floating-point arithmetic operations have been highly optimized in most GPUs and CPUs. Thus, the execution speed advantages of fixed-point operations on hardware optimized for floating-point units might not be as significant as oversimplified speedup calculations might suggest. Courbariaux et al. compared the accuracies of trained DNNs using various fixed and floating-point values for weights and activations, even exploring the use of a hybrid dynamic fixed-point data type. They found that comparable accuracy could be maintained with sub-32-bit precision.
Efforts to expedite training have also involved the use of quantized gradient values. Zhou et al. conducted experiments with several reduced bit widths for gradients [11], testing various combinations of low bit-widths for activations, gradients, and weights. Their findings indicated that higher precision was more beneficial for gradients than for activations, and that activations benefited more from higher precision than weights did.
In the realm of network quantization, the most extreme form is binarization, where data is restricted to two possible values, typically −1 and +1, or −γ and +γ when scaling is considered (as detailed in Section 6.1). It is important to note that networks using the values −1, 0, and +1 are not truly binary, but ternary, a distinction often overlooked in the literature [12,13,14,15]. While these networks offer high compression and simple arithmetic, they do not enjoy the single-bit simplicity of Binary Neural Networks (BNNs) as they require 2 bits of precision.
The concept of employing binary weights predates the recent surge in deep learning [16]. Early networks with binary values consisted of a single hidden layer [16,17]. These pioneering works highlighted the challenge of directly applying backpropagation (BP) and stochastic gradient descent (SGD) to these networks, as weights could not be incrementally updated. Instead, early binary value networks utilized variations of Bayesian inference. More recently, [18] applied a similar method, Expectation Backpropagation, to train deep networks with binary values.
Courbariaux et al. claimed to be the first to train a Deep Neural Network (DNN) from scratch using binary weights and BP with their BinaryConnect method [19]. They employed real-valued weights that were binarized before being used by the network. During backpropagation, the gradient was applied to the real-valued weights using the Straight-Through Estimator (STE), as explained in Section 4.1.
While BinaryConnect, proposed by Courbariaux et al., employs binary values for weights, it retains full precision activations, thus necessitating full precision accumulations despite eliminating the need for full precision multiplications. This method, named in analogy to DropConnect, binarizes connections instead of dropping them. Although these early binary neural network (BNN) works are indeed binary in a broad sense, this paper defines BNNs as networks that use binary values for both weights and activations, facilitating bitwise operations over traditional multiply-accumulate operations. Soudry et al. pioneered research on deep neural networks (DNNs) with binary weights and activations, employing Bayesian learning to mitigate the challenges of learning with binary values. However, Courbariaux et al. introduced a method that enables the use of binary weights and activations during training with backpropagation and leverages bitwise operations, forming the foundation for most subsequent binary networks, with notable exceptions in [22, 23].
This section introduces BNNs, focusing on the original methodology developed by Courbariaux et al. [1, 21], which is widely adopted in network binarization techniques. Specific details from this methodology will be further explored in Section 5.1. In BNNs, both weights and activations are binarized, leading to reduced memory requirements and computational complexity through the use of bitwise operations.
In their pioneering work, Courbariaux et al. introduced a method for training neural networks with binary weights in [19], employing backpropagation and gradient descent-based optimizers (such as SGD and Adam). Unlike traditional approaches that binarize weights only after training, this method uses binary values throughout the training process, providing a more accurate loss function to optimize against. While computing the gradient of the loss with respect to binary weights through backpropagation is feasible, updating these weights using gradient descent methods poses a challenge, as they require small, incremental changes that are not possible with binary values.
To circumvent this issue, Courbariaux et al. maintain a set of real-valued weights, WR, which are binarized within the network to obtain binary weights, WB. This binarization is achieved using a simple sign function:
WB = sign(WR)
resulting in a tensor with values of +1 and -1. During inference, only the binary weights are stored and used, as the real-valued weights are not required.
However, calculating the gradient of the loss with respect to the real-valued weights directly is meaningless due to the sign function used in binarization, as its gradient is either 0 or undefined at every point. To address this, Courbariaux et al. employ a heuristic called the straight-through estimator (STE) [24]. This method approximates the gradient by bypassing the gradient of the layer in question, effectively treating the problematic gradient as an identity function:
∂L/∂WR ≈ ∂L/∂WB
where L represents the loss at the output. This gradient approximation is then used to update the real-valued weights.
Conceptually, this binarization process can be thought of as a separate layer within the network. This layer evaluates the sign of the values during the forward pass and performs an identity function during the backward pass, as depicted in Figure 1.
Weight Update and Bounding:
In the process of training Binary Neural Networks (BNNs), the real-valued weights (WR) can be adjusted using optimization techniques such as Stochastic Gradient Descent (SGD) or Adam. However, gradient updates can cause WR to grow unboundedly large if their values are not constrained, as positive gradients continually increase positive values. To prevent this, BNNs implement a clipping mechanism that keeps WR within the range of -1 to +1, thereby maintaining similarity with the binary weights (WB).
Binarization of Activations:
The initial BNN paper by Courbariaux et al. introduced the binarization of activation values. This is achieved by passing activations through a sign function during the backward pass, similar to the binarization of weights. The sign function serves as the activation function in the network. To ensure optimal results, Courbariaux et al. found it necessary to nullify the gradient in the backward pass when the input to the activation function is excessively large. This is accomplished using the formula:
∂L/∂aR = ∂L/∂aB * 1(|aR| ≤ 1)
where aR is the real-valued input to the activation function, aB is the binarized output, and 1(|aR| ≤ 1) is an indicator function that equals 1 when |aR| ≤ 1 and 0 otherwise. This effectively zeros out the gradient when the input to the activation function is too large. Alternatively, adding a hard tanh function before the sign activation function can achieve this, but this layer only affects the backward pass and has no impact on the forward pass.
In the context of binary representations, the dot product between weights and activations can be simplified to bitwise operations. The binary system employs values of −1 and +1, represented by encodings of 0 and 1, respectively. To clarify, we distinguish between these signed binary "values" and their "encodings". The XNOR logical operation on these binary encodings mirrors the multiplication of the binary values, as illustrated in Table 1.
A dot product necessitates the summation of all products between values. While XNOR can facilitate multiplication at the bitwise level, accumulating these results requires a summation of the XNOR outputs. This can be achieved by counting the number of 1s in a group of XNOR products, multiplying this count by 2, and then subtracting the total number of bits, yielding an integer value. Modern processor instruction sets frequently incorporate a 'popcount' instruction for this purpose.
These bitwise operations are notably simpler and faster to compute than multi-bit floating-point or fixed-point multiplication and accumulation. This can translate to quicker execution times and/or reduced hardware resource requirements. Nevertheless, predicting such efficiency gains is not always straightforward.
For instance, when evaluating CPU performance, certain studies we've examined employ the count of instructions as a yardstick for execution time. The 64-bit x86 instruction set enables a CPU to perform a bitwise XNOR operation between two 64-bit registers in a single instruction. On a similar 64-bit CPU architecture, two 32-bit floating-point multiplications could be executed. One might infer that bitwise operations would be 32 times faster than floating-point operations. However, the number of instructions does not equate to execution time, as each instruction can take a variable number of clock cycles to complete. Modern CPU cores dynamically schedule instructions, and the cycles required to produce a result depend on preceding instructions. CPUs and GPUs are optimized for different instruction types. Instead of relying on instruction count, it's more accurate to examine actual execution times. Courbariaux et al. [1] reported a 23 times speedup after optimizing their code for bitwise operations.
Bitwise operations not only offer faster software execution times, but they also require fewer hardware resources in digital designs.
Batch Normalization (BN) layers are a common practice in deep learning, facilitating faster training and serving as a form of regularization. In Binary Neural Networks (BNNs), they are deemed crucial. BN layers not only condition the values used during training but also contain gain and bias terms that are learned by the network, adding complexity to BNNs which might otherwise suffer without them. The efficiency of BN layers is discussed in Section 6.7.
Accuracy, in this context, refers to the performance metric used to evaluate the predictive capability of a model.
Binary neural networks (BNNs), while more streamlined and resource-efficient than their full-precision counterparts, exhibit a decline in accuracy. The pioneering BNN, as introduced in [1], incurred a 3% drop in accuracy on the CIFAR-10 dataset and did not match performance on the larger ImageNet dataset. Nevertheless, advancements by other researchers and refinements in BNN methodology have led to more recent BNNs achieving comparable results on the ImageNet dataset, with a top-5 accuracy decrease of 3.1% and a top-1 accuracy decrease of 6.0% [25].
In terms of resilience to attacks, full-precision deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial attacks [26, 27]. Subtle alterations to input data can induce significant misclassifications in these networks, particularly in convolutional networks where images can be imperceptibly manipulated to cause substantial failures. In contrast, BNNs have exhibited robustness to this issue [28, 29]. The use of discrete values in BNNs mitigates the impact of small input image changes on network activations, as adversarial perturbations, typically computed using gradient methods, are not directly applicable in BNNs.
Despite substantial research on Binary Neural Networks (BNNs) and efforts to enhance their precision, several pivotal works have emerged, significantly building upon the foundational methodology of BNNs [1]. Before delving into a comprehensive comparison of BNN literature, we intend to scrutinize each of these selected works individually to understand their unique contributions. These works have been either extensively cited, directly compared, or have introduced significant modifications to BNN methodology within the broader BNN literature. We acknowledge that our selection is subjective, and there are other valuable contributions not covered in this section. After examining each work in isolation, we will proceed to analyze the BNN literature as a whole, synthesizing our findings thematically rather than by individual publications.
5.1. The Pioneering BNN
We have already outlined the fundamentals of the original BNN proposal in Section 4. Here, we will delve into specific details from [1,21] that were not previously mentioned. Courbariaux et al. presented their method and results, including comprehensive details about their experiments on the MNIST, SVHN, and CIFAR-10 datasets in [1]. In their subsequent paper [21], they did not provide all the details of these three experiments but did share their preliminary results on the ImageNet dataset.
While most binarization methods employed in Binarized Neural Networks (BNNs) are deterministic, utilizing the straightforward sign function, Courbariaux et al. introduce stochastic binarization, which can potentially yield superior outcomes compared to their BNN model and the preceding BinaryConnect Model. This method binarizes values using a probability distribution that leans towards -1 when the value is closer to that end, and +1 when it is closer to the other, thereby aiding in network regularization and enhancing test results. However, generating probabilities for each binarization necessitates more intricate computations than deterministic methods, which are predominantly used in BNN literature.
Beyond the methodology detailed in Section 4, Courbariaux et al. provide insights into optimizing the learning process of BNNs. They note that training BNNs is more time-consuming than traditional Deep Neural Networks (DNNs) due to the Straight-Through Estimator (STE) heuristic required to approximate the gradient of real-valued weights. To expedite this process, they implement modifications to the Binarized Neural (BN) layer and the optimizer, both utilizing a shift-based method that efficiently multiplies or divides a value by two. While this can accelerate training time, most BNN publications prioritize test accuracy and inference speed over training time optimization.
The particular architectural designs employed for the MNIST, SVHN, and CIFAR-10 datasets have been widely adopted in subsequent studies [1, 21]. Instead of employing convolutional layers for the MNIST dataset, they utilized three fully connected (FC) layers, each containing 4096 nodes. For the SVHN and CIFAR-10 datasets, a VGG-like architecture was used, comprising two 128-channel, two 256-channel, and two 512-channel convolutional layers, followed by three fully connected layers with 1024 channels each. This topology has been replicated in numerous studies focusing on Binary Neural Networks (BNNs), as detailed in Section 7.2.
While [1] did not include results from experiments using ImageNet, [21] provided insights into the initial BNN results for this dataset. AlexNet and GoogleNet were employed, with their fully connected convolutional layers replaced by binary versions. Although these models did not exhibit exceptional performance during testing, they served as a foundation for subsequent works.
Courbariaux et al. highlighted the inefficiency of standard deep learning frameworks in running bitwise operations of BNNs without additional optimization. They developed a custom GPU kernel that efficiently performs these operations, demonstrating a 7× speedup on the MNIST dataset.
A follow-up paper, [30], addressed the preceding works, explored applications for Long Short-Term Memory (LSTM) networks, and extended the findings to other levels of quantization.
Following the pioneering work on Binary Neural Networks (BNNs) [21], Rastegari et al. introduced a comparable model, XNOR-Net [31], designed to excel on the ImageNet dataset. XNOR-Net incorporates all primary methods from the original BNN, but introduces a gain term to mitigate information loss during binarization. This gain term is derived from the pre-binarization statistics of weights and activations. For each dot product in the convolutional layer, a pair of gain terms is computed by multiplying the L1-norms of both weights and activations.
The integration of this gain term does enhance the performance of BNNs, as demonstrated by Rastegari et al.'s results. However, the reproducibility and accuracy of these results have been called into question, as they do not align with those reported by Courbariaux et al. [21] or other studies [11, 32].
While the gain term in XNOR-Net appears to boost performance, it comes with a trade-off. Rastegari et al. claimed a theoretical speedup of 64x over traditional Deep Neural Networks (DNNs), based on the assumption that 1-bit operations are 64x faster than 64-bit floating-point operations. However, this assertion overlooks the computational overhead of calculating the gain term, as discussed in Section 4.3. XNOR-Net must compute L1-norms for all convolutions during both training and inference, a process that is resource-intensive and negates some of the potential speed benefits. Other works in this section also acknowledge this computational cost. Although a gain term can improve the accuracy of BNNs, the manner in which XNOR-Net computes these terms incurs significant computational expenses.
Rastegari and his colleagues underscore that positioning the pooling layer subsequent to the dot product layer (fully connected or convolutional) rather than after the activation layer enhances training. This arrangement enables the max pooling layer to consider the signed integer values output from the dot product, instead of the binary values from the activation. Pooling of binary values would disregard the magnitude of inputs to the activation, thus propagating the gradient to all activations with a +1 value, rather than the largest one before binarization.
5.3. DoReFa-Net
Zhou et al. aim to generalize quantization and leverage bitwise operations for fixed-point data with varying widths [11]. They introduce DoReFa-Net, a model with variable width sizes for weights, activations, and even gradient calculations during backpropagation, with a focus on accelerating training time rather than just inference.
DoReFa-Net purports to utilize bitwise operations by decomposing dot products of fixed-point values into multiple dot products of binary values. However, the complexity of their bitwise operations is O(n^2), where n is the width of the data used, which is not more efficient than fixed point dot products.
Zhou et al. highlight the inefficiencies of XNOR-Net's method for calculating a gain term. DoReFa-Net, instead of dynamically calculating a gain term using the L1-norm of both activations and weights, bases the gain term solely on the weights of the network. This allows for efficient inference, as the weights and gain terms remain unchanged after training.
The architecture of DoReFa-Net is widely adopted throughout the BNN literature, as detailed in Section 8.2.
5.4. Tang et al.
Tang et al. [33] propose several ideas for BNNs that are later employed by others. While they do not present a new architecture, they binarize AlexNet and focus on improving classification accuracy on the ImageNet dataset.
To expedite the training process, Tang et al. delve into the impact of learning rate on the enhancement pace of the network and the oscillation frequency of binary values between -1 and +1. In a Binary Neural Network (BNN), the weights' sign oscillates more frequently than in a full-precision network, with the number of sign changes being significantly higher. Tang et al. demonstrate that employing small learning rates yields superior training results in BNNs.
Tang et al. leverage a gain term in their network and highlight the inefficiency of XNOR-Net's gain term usage. They propose a learned scaling factor using a Parametric Rectified Linear Unit (PReLU) layer, unlike the Rectified Linear Unit (ReLU) layer that zeros out negative inputs. The PReLU layer learns a positive gain term to apply to negative input values, which is then indirectly applied within the PReLU.
Tang et al. address the bulky nature of the Fully Connected (FC) layers used in prior BNN implementations. FC layers perform larger dot products compared to convolutional layers, where many small dot products are calculated. In BNNs, the use of whole values (-1 and +1) instead of fractional values in traditional Deep Neural Networks (DNNs) can result in a wide range of possible values for the final FC layer, which may not align well with the softmax function used in classification.
Previous studies circumvent this issue by retaining the final layer at full precision instead of binarizing it. Tang et al., however, binarize the last layer and introduce a learned gain term at every neuron. This approach makes the BNN more compact, as most of the model's parameters reside in the FC layers.
To facilitate generalization, Tang et al. underscore the significance of a regularizer, marking the first instance of its use during the training of a BNN, to our knowledge. They also employ multiple bases for binarization, as detailed in Section 6.2.
ABC-Net
Introduced by Lin et al. in [25], the ABC-Net model aims to bridge the accuracy gap between BNNs and full precision networks. It builds upon the multi-bit concepts of DoReFa-Net and the gain terms learned in [33].
ABC-Net binarizes activations and weights into multiple bases. For weights, the binarization function is expressed as:
Biw = sign(W^ + ui * std(W))
where W represents the set of weights being binarized, W^ = W - mean(W), std(W) denotes the standard deviation of W, and ui is a learned term. A set of Bi binarizations is generated based on the learned parameters ui. This function centers the weights W around zero and produces diverse binarizations according to varying threshold biases (ui * std(W)).
These binarized linear bases can be employed in bitwise dot products with the activations. The results are then combined in a linear combination with learned gain terms. This approach is reminiscent of the multi-bit method proposed in DoReFa net, but instead of using slices from the powers of two, bases are founded on learned biases that serve as thresholds. While this method requires more computations, it offers superior accuracy for the number of bitwise operations used. Additionally, it utilizes learned gain terms in the linear combination of the bases, providing a more general application of gain terms than simply in a PReLU layer, as demonstrated by Tang et al. [33].
The process of converting weights to binary form is facilitated by determining the mean and standard deviation of these weights. Once the weights are learned, recalculating these statistics during inference is unnecessary. However, applying the same method to activations, as in XNOR-Net, would require their recalculation during inference, leading to similar issues. Instead, ABC-Net employs multiple binarized bases for activations using a learned threshold bias, without relying on mean or standard deviation, as expressed by:
BiA = sign(A + ui)
where BiA represents the binarized base for the set of activations A, and ui is the learned threshold bias. Each activation base is associated with a learned gain term. ABC-Net leverages these efficient gain terms and multiple biases, but the computational cost increases with each added base.
The ABC-Net method has been applied to various ResNet architectures of different sizes, demonstrating only a 3.3% drop in top-5 accuracy on ImageNet compared to full 32-bit precision when using 5 bases for both activations and weights.
Darabi et al. have extended the core principles of the original BNN by exploring alternatives to the Straight-Through Estimator (STE) used in all previous BNNs. The STE employs an identity function for backpropagating gradients through the signed activation layer. Combined with the need to suppress gradients of large activations, the backpropagation of gradients through the sign activation function can be seen as an impulse function that clips the gradient if the activation's absolute value exceeds 1.
The BNN+ methodology enhances learning by replacing the impulse function with a variation of the derivative of a Swish-like activation function, providing a more effective backpropagation function.
The BNN+ methodology, as proposed by Darabi et al., employs a differential activation function, dSSβ(x)dx = β(2 - βxtanh(βx²)) / (1 + cosh(βx)), where β can be either a user-defined hyperparameter or a learned parameter by the network. This function facilitates better training due to its differentiability, unlike piece-wise functions at -1 and +1.
Another key aspect of BNN+ is a regularization function that encourages weights to converge towards -1 and +1. Two regularization approaches are explored: one based on the L-1 norm, R1(w) = |α - |w||, and another on the L-2 norm, R2(w) = (α - |w|)². When α = 1, these regularizers are minimized when weights are closer to the extremes. The network is permitted to learn this parameter.
Additionally, BNN+ incorporates a gain term, distinct from other methods that use multiple bases. While BNN+ demonstrates superior accuracies on ImageNet compared to other single base techniques, it falls slightly short of the performance of ABC-Net.
In a comparison of methods (Section 5.7), Table 2 summarizes accuracies on the CIFAR-10 dataset, Table 3 on the ImageNet dataset, and Table 4 outlines the features of each method, listed chronologically. Notably, Courbariaux et al.'s original BNN method achieves the highest performance on CIFAR-10, and subsequent work has primarily focused on enhancing results on the ImageNet dataset.
The subsequent section (Section 6) delves into individual techniques for improving BNN accuracy, as reviewed in the preceding section.
6.1. Incorporating a Gain Factor
Binarization, while facilitating efficient computation via bitwise dot products, discards information about input magnitudes, retaining only sign data for subsequent layers. This results in output values of −1 or +1. Post-bitwise dot product, gain factors can reintroduce magnitude sensitivity, enabling BNNs to operate with values of −γ and +γ, where γ is the gain term. This approach, advocated by many BNN studies, enhances network complexity when employed judiciously. However, feeding −γ and +γ directly into a sign activation function centered at 0 negates the gain term's effect, as sign(+/−γ) equals sign(+/−1). BNNs equipped with Batch Normalization (BN) layers circumvent this issue due to their inherent bias term. For more on BN and sign activation function integration, see Section 6.7.
Gain factors can augment network capacity when multiple gain terms are employed within a dot product or to form linear combinations of parallel dot products. Instead of merely replacing +1 and −1 with +γ and −γ, different weights can be assigned to binary dot product elements, mimicking full precision dot products. This is the approach taken by XNOR-Net [31], which leverages magnitude information to derive gain terms for both weights and activations. Each "pixel" in a tensor of feature maps has its own gain term based on the magnitude of all channels at that point, and each "kernel" also has its own. Nevertheless, as detailed in Section 5.2, this method is not particularly efficient, as it necessitates full precision convolution due to each "pixel"'s gain acting as a full precision weight.
Unlike XNOR-Net, which employs gain terms within dot products, other studies utilize gains to perform a linear combination between parallel dot products. Some networks derive these gain terms from the statistical properties of inputs [11, 33], while others learn them [25, 34]. This approach, often referred to as'multiple bases,' is explored in the following section.
In the realm of Binary Neural Networks (BNNs), multiple binarizations of a single set of inputs have been employed to mitigate information loss during binarization. These multiple binarizations can be conceptualized as bases that, when combined, yield a result with enhanced information content. While efficient dot products can still be utilized in computing outputs, additional computations are required to integrate the multiple bases.
DoReFa-Net [11], for instance, segments inputs into bases, with each base corresponding to a power of two. The number of bases mirrors the number of fixed-point bits of precision in the input. This network uses fewer bits of precision in the data when less precision is desired, resulting in no information loss compared to the input and appearing more computationally efficient. Nevertheless, this technique does not reduce the number of computations required compared to regular fixed-point multiplication and addition.
One approach involves calculating the discrepancy, or residual error, between a scaled binarization and its original input, then generating a subsequent scaled binarization based on this error. This process is referred to as residual binarization, employed by Tang et al. [33] and ReBNet [35], distinct from residual layers in deep neural networks (DNNs). Unlike DoReFa-Net, the gain factor for each base in this method is contingent upon the magnitude of the input value or residual, leading to a more information-rich initial set of bases. This approach is more resource-efficient than the fixed-point base-two method used in DoReFa-Net, as it allows for the use of floating-point values, which are better suited to GPUs and CPUs optimized for floating-point operations. However, it does require additional computations to calculate the residuals of the binarization, similar to XNOR-Net, albeit on a smaller scale as it is performed for a limited number of bases rather than every "pixel" in a feature map.
The computation of multiple bases using information from activations, as demonstrated in [33,35], is more resource-intensive. Conversely, ABC-Net [25] learns various bias terms for thresholding and different gain terms for scaling bases during activation computation, eliminating the need for extra computations at inference time. While ABC-Net still uses magnitude information from the weights during training, it employs constant values during inference, as weights are set post-training.
Rather than applying binary conversion to the entire network, several strategies have been suggested to selectively binarize sections that most benefit from compression, while retaining crucial layers at full precision. The initial Binary Neural Network (BNN) method, and most subsequent BNNs, indeed employ partial binarization, maintaining the final layer at higher precision for optimal results. Tang et al. [33] propose a solution to this (detailed in Section 5.4).
Other networks have adopted this approach, prioritizing accuracy over efficiency and model compression by increasing the number of full precision layers. TaiJiNet [33], for instance, divides the kernels of a convolutional layer into two groups: more significant kernels, which remain unbinarized, and less significant ones, which are binarized. TaiJiNet determines kernel importance using a combination of statistics, including L1 and L2-norms, mean, standard deviation, and variance.
Prabhu et al. [36] also explore partial binarization, assessing each layer as a whole rather than individual kernels. They assign a score to each layer and use clustering to find an appropriate threshold, deciding which layers to binarize and which to keep at full precision.
Wang et al. [37] employ partial binarization during training to enhance accuracy. They gradually binarize the network as training progresses, contradicting the original method by Courbariaux et al. [1], which advocated binarization during training. However, Wang et al. argue that gradual binarization during training helps achieve better accuracy.
Partial Binarization:
Partial binarization is particularly suitable for software-driven systems where hardware configuration does not dictate control. Unlike full binarization, which might not exploit system resources optimally, or full-precision networks, which can be overly complex, partial binarization offers customization. However, it necessitates careful selection of components to binarize, with decisions tailored to the specific application and system.
Learning Rate in BNNs:
Experience has demonstrated that Binarized Neural Networks (BNNs) require longer training times compared to full-precision networks. While traditional Deep Neural Networks (DNNs) can make incremental weight adjustments during optimization, BNNs update real-valued weights that may or may not influence the output of the loss function. These real-valued weights can be conceptualized as quasi-accumulators, holding a running total of the gradient for each binary weight. A significant accumulation of gradient steps is required to change the sign of the real-valued weight, thereby altering the binary weight.
Moreover, many weights in BNNs converge to either positive or negative values [34]. Even when backpropagation dictates a step in the same direction, the binary weights remain unchanged. Consequently, numerous calculated gradients have no effect on the loss and do not improve the network. To expedite training, Tang et al. propose the use of a higher learning rate [33].
Padding:
Padding refers to the addition of extra layers or elements to a neural network or data input to facilitate processing or to address specific issues, such as ensuring that the input size is divisible by the stride of the convolutional or pooling layer.
In Deep Neural Networks (DNNs), convolutional layers frequently employ zero padding to ensure consistency in topology and data flow. This is a common practice. However, in Binary Neural Networks (BNNs), adding zero padding introduces a third value (−1 and +1 being the other two), which poses a compatibility issue as there is no binary encoding for zero. This oversight is prevalent in many publicly available software source codes. Several studies focusing on digital design and Field Programmable Gate Arrays (FPGAs) ([38, 39, 40]) have highlighted this problem.
Zhao et al. [38] explored the use of +1 for padding and found it to be an effective alternative. Fraser et al. [40] employed −1 for padding and reported similar results to zero padding. Guo et al. [39], however, delved deeper into this issue and argued that simple padding with either −1 or +1 negatively impacts the accuracy of BNNs. They proposed an alternating padding method, where the border is padded with −1s and +1s in alternating locations, which slightly improves accuracy. To further enhance performance, they alternated the starting value of the padding from one channel to the next, achieving accuracy levels comparable to zero-padded networks.
The original BNN methodology is not entirely binarized, as the convolutional padding scheme used in the open-source BNN software implementation employs zero padding, introducing 0 values into the network and turning it into a ternary network. Some hardware implementations circumvent this by avoiding padding altogether. The methods mentioned earlier allow for the complete utilization of bitwise operations and padding, leading to faster run times compared to networks that involve 0 values.
A significant aspect of many Binary Neural Network (BNN) models, distinct from fully binary ones, are the initial and concluding layers. The approach proposed by [39], termed FBNA, aims to render the BNN architecture entirely binary, encompassing the binarization of the first layer. Instead of employing fixed-precision input data values, FBNA adopts a method akin to DoReFa-Net [11], utilizing a narrower bit width and splitting these values into multiple binarizations without compromising precision. Unlike conventional methods that use a base for each power of two, FBNA employs as many bases as required to sum binary values and retrieve the original value, potentially leading to increased inefficiency with n^2 bases needed for n bits of precision.
Tang et al. [33] present a technique for binarizing the final fully connected (FC) layer of a network, typically maintained at a higher precision. They introduce a learnable channel-wise gain term within the dot product, enabling manageable numbers instead of large whole values. Further details are provided in Section 5.4.
The computationally intensive nature of the Batch Normalization (BN) layer might seem at odds with the efficiency of BNNs. However, implementing a BN layer in the forward pass is mathematically equivalent to an integer threshold in BNNs. The BN layer calculates:
BN(x) = x - μ + σ^2 / (σ^2 + ϵ) * γ + β
where x is the input, μ is the batch mean, σ^2 is the batch variance, ϵ is added for numerical stability, and γ and β are learned gain and bias terms. Given that activations simply calculate the sign of BN(y), we have:
sign(y) = +1 if y ≥ τ, -1 otherwise
where τ is defined as:
τ = -βσ^2 / (σ^2 + ϵ) + γ + μ
The assertion holds true only when γ assumes a positive value. In scenarios where γ is negative, the comparator remains the same, but the value of x is negated. Given that the dot product in a Binary Neural Network (BNN) yields integer outputs, τ can be appropriately rounded to an integer value.
This approach proves particularly beneficial in digital designs, as thresholding is notably simpler than the explicit arithmetic operations required for Binary Neural Network (BN) layers during the training phase.
Layer Ordering
As discussed in Section 5.2, BNNs can be trained more effectively when the pooling layer precedes the Batch Normalization (BN)/activation layer. However, during the forward pass, the order of these layers does not influence the outcome. Umuroglu et al. [41] suggest that inference is expedited if the pooling layer follows the activation layer, allowing for the use of binary values and eliminating the need for comparisons in the max pooling layer. If any of the inputs is +1, the output is likewise +1. An OR function can be applied to the binary encodings within the network to achieve max pooling.
Accuracy Comparison
In this section, we present a comparison of the accuracy of BNNs across several datasets. The reported accuracies are specific to the cited publication and do not include accuracies reported by other authors for comparison purposes.
Datasets
Four prominent datasets are employed to evaluate BNN performance. Results for these four datasets are included. While various publications exist detailing specialized applications of BNNs on specific datasets [18,42-50], these are not covered in this comparison.
MNIST: A straightforward dataset comprising handwritten digits, with images measuring 28x28 pixels in grayscale and categorized into 10 classes. This dataset's simplicity makes it suitable for classification using fully connected (FC) layers, as demonstrated by Courbariaux et al. in their pioneering work on Binary Neural Networks (BNNs), where they argued that FC layers pose a greater challenge and thus serve as a more rigorous test for BNN capabilities. MNIST consists of 60,000 images for training and 10,000 for evaluation.
SVHN: The Street View House Numbers dataset, featuring photographs of individual digits (0-9) extracted from images of house numbers. These color images, centered on a single digit, total nearly 100,000 and are classified into 10 categories, with each image measuring 32x32 pixels.
CIFAR-10: A dataset containing 60,000 32x32 color images, divided into 10 distinct classes: six animal species and four vehicle types.
ImageNet: A more extensive dataset comprising photographs of varying sizes, typically resized to a common dimension before processing. ImageNet encompasses 1,000 distinct classes and is significantly larger and more challenging than the preceding datasets. The most prevalent version of this dataset, from 2012, comprises 1.2 million training images and 150,000 validation images.
7.2. Topologies: Although BNN methods can be applied to any network architecture, many BNNs studied in the literature are binarized versions of common topologies. This paper lists the network topologies used in various methods and denotes papers that did not specify their topology with 'NK'. For ambiguous topologies, the paper provides as much detail as was offered by the authors.
All the network architectures examined in this section are feedforward in nature. They are either referenced by their established names (such as AlexNet or ResNet) or detailed layer by layer using a consistent notation. This notation is akin to others used in the literature, with layers specified in sequential order. Three primary layer types are denoted: Convolutional (C), Fully Connected (FC), and Max Pooling (MP). Batch Normalization (BN) layers and activation functions are implied and thus not explicitly listed. The number of output channels for each layer is stated immediately after the layer type. For instance, FC1024 signifies a fully connected layer with 1024 output channels. The number of input channels can be inferred from the output of the preceding layer, the input image size, or the number of activations produced by the last max pooling layer. All max pooling layers have a receptive field of 2 × 2 pixels and a stride of 2. Duplicates of layers are common, and their multiplicity is indicated before the layer type. Thus, two convolutional layers with 256 output channels are represented as 2C256, instead of C256-C256.
To facilitate comprehension and comparison of the accuracies discussed in this section, we provide descriptions of common topologies employed by Binary Neural Networks (BNNs) that may not be widely recognized. These topologies are referenced in the comparison tables within this section.
We refer to the convolutional BNN proposed by Courbariaux et al. [1], employed on the SVHN and CIFAR-10 datasets, as BNN. This is a variant of the VGG-11 topology with the following structure: 2C128-MP-2C256-MP-2C512-MP-2FC1024-FC10, as illustrated in Figure 2. Other networks employ this same topology but with half the number of channels, which we denote as 1/2 BNN.
We will designate a standard three-layer Multi-Layer Perceptron (MLP) as MLP, structured as follows: 3 Fully Connected (FC) layers with 1024 channels each, culminating in a FC layer with 10 channels. The notation 4xMLP will represent an MLP with four times as many hidden channels, i.e., 3FC4096-FC10.
Certain studies reference the DoReFa-Net topology. However, the original DoReFa-Net paper does not specify any particular topology, instead outlining a general approach [34]. We presume that works claiming to use the DoReFa-Net topology might be employing a software implementation of DoReFa-Net, such as the one provided in Tensorpack for Tensorflow, which could be a binarized version of a popular topology like AlexNet. Nevertheless, as we cannot confirm this, we denote these entries as DoReFa-Net.
In Section 7.3, we present seven tables to report the accuracy of various Binary Neural Network (BNN) methodologies on the MNIST (Tables 5 and 6), SVHN (Tables 7 and 8), CIFAR (Tables 9 and 10), and ImageNet (Table 11) datasets. We also include the accuracies of related, non-binary networks, such as partially binarized networks and BinaryConnect, which preceded BNNs.
Under the Hardware Implementations section, we first discuss Field Programmable Gate Arrays (FPGAs), a natural platform for BNN inference. BNNs leverage bitwise operations for dot products, which FPGAs excel at due to their customizable data paths and optimized hardware architectures for XNOR and popcount operations. FPGAs are generally lower power and have smaller footprints compared to CPUs and especially GPUs.
Next, we delve into the Architectures subsection, providing further details on the design and structure of these hardware implementations.
FPGA-based deep neural network (DNN) designs predominantly adopt one of two architectural paradigms: streaming architectures and layer accelerators. Streaming architectures employ dedicated hardware for most, if not all, layers in a network. These architectures can be pipelined, allowing each stage to process different input samples concurrently, thereby offering high throughput, reasonable latency, and reduced memory bandwidth demands. However, they require more resources due to the need for dedicated hardware per network layer, making them particularly suitable for video processing tasks. This approach is widely documented in the literature.
Layer accelerators, on the other hand, provide modular units capable of handling specific network layers. These modules must accommodate diverse input types, sizes, and channel widths. Results are temporarily stored in memory before being fed back into the accelerator for processing by the subsequent layer. While these architectures consume fewer resources than their streaming counterparts, they offer significantly lower throughput. They are well-suited for resource-constrained designs where high throughput is not a critical factor, and their feedback nature makes them ideal for recurrent neural networks (RNNs), as demonstrated in [69].
FPGAs typically integrate digital signal processors (DSPs) and block random access memories (BRAMs) within their logic fabric. DSPs play a crucial role in full-precision DNN implementations on FPGAs, facilitating multi-bit dot product computations. However, in binary neural networks (BNNs), dot products are bitwise operations, and DSPs are used less extensively. Nakahara et al. [70] have shown the efficacy of in-fabric calculations in BNNs compared to DSP-based methods. BRAMs in BNNs serve to store activations, weights, and other parameters, offering storage for sliding windows used in convolutional operations.
CPU-FPGA hybrid systems, characterized by a CPU and FPGA integrated within the same silicon, have gained prominence in the implementation of Deep Neural Networks (DNNs) and Binary Neural Networks (BNNs) [35,38,39,41,54,61,62,63,68,71]. The CPU, known for its flexibility and ease of programming, is responsible for loading inputs to the DNN. Meanwhile, the FPGA, programmable to execute the BNN architecture, eliminates the need for additional logic for input and output processing.
In the realm of High Level Synthesis (HLS), FPGAs' programming complexity, typically requiring specialized training, is mitigated by tool flows that enable software programmers to write programs in languages like C++, which are then synthesized into FPGA hardware designs. This approach, HLS, has been a significant focus in BNN research on FPGAs [35,38,39,40,54,56,63,68,69,72].
Yaman Umuroglu and his team at Xilinx Research Labs developed a specific workflow, FINN, tailored for training and implementing BNNs [41]. FINN employs a deep learning library for training BNNs, followed by the generation of code for the BNN, which is subsequently synthesized into a hardware design using Xilinx's HLS tool. FINN's capabilities were later extended to support Long Short-Term Memory (LSTM) BNN topologies [69]. Furthermore, Xilinx Research Labs broadened FINN's scope to accommodate multi-bit quantized networks, not just BNNs [54].
Lastly, a comparison of FPGA implementations highlights the diverse approaches and tools employed in leveraging FPGAs for BNN and DNN acceleration.
In the provided table (Table 12), we juxtapose various implementations of Binary Neural Networks (BNNs) on Field Programmable Gate Array (FPGA) platforms, detailing their accuracies, architectures, FPGA resource utilization, and execution specifics. Notably, only [35,63] among these reported substantial usage of Digital Signal Processors (DSPs), with the rest of the table omitting this information.
ASICs
While FPGAs excel in processing BNNs by leveraging efficient bitwise operations, Application-Specific Integrated Circuits (ASICs) hold the promise of delivering unparalleled power and computational efficiency for any hardware design. Although FPGA fabrics can be configured to accommodate BNN topologies, their physical layout remains static, designed to cater to a wide range of applications. Conversely, ASIC designs can be physically tailored to meet the specifications of BNNs, potentially enabling even more efficient bitwise operations than other platforms [43,44,57,64,73,74,75]. Furthermore, ASICs can seamlessly integrate image sensors [76] and other peripheral elements, facilitating swift processing and low-latency access.
Intel's Accelerator Architecture Lab, led by Nurvitadhi et al., has developed a layer accelerator for BNNs on an ASIC [73]. They conducted a comparative analysis of ASIC implementations with those on FPGA, CPU, and GPU platforms, demonstrating that ASICs can significantly reduce power consumption while maintaining the swiftest execution times.
Given the extensive number of parameters required by BNNs, similar to other Deep Neural Networks (DNNs), several ASIC designs have focused on in-memory computations [68,77,78,79,80]. The custom nature of ASICs also allows for the integration of mixed technologies and memory-based designs using Resistive RAM (RRAM), an emerging technology that appeals to BNN designers due to its compact bit-level operation [59,60,77,81,82].
Conclusions
In summary, while FPGAs offer a flexible and efficient platform for BNN processing, ASICs hold the potential to provide unmatched power and computational efficiency, with emerging technologies like RRAM further enhancing their appeal.
Binary neural networks (BNNs) offer significant reductions in model size and faster inference times compared to traditional deep neural networks (DNNs). While BNNs may not initially match the precision of their full-precision counterparts, advancements have narrowed this performance gap. BNNs seem to excel as replacements for smaller networks, achieving a top-1 accuracy within 4.3% for the compact ResNet18, but lagging by 6.0% on the larger ResNet50.
The integration of multiple bases, learned gain and bias terms, intelligent padding, and even partial binarization have enhanced BNNs' accuracy while maintaining their high-speed execution and small footprint. These speeds have been further boosted through implementations on field-programmable gate arrays (FPGAs) and application-specific integrated circuits (ASICs), with tools like FINN making BNN programming on FPGAs more accessible.
The XNOR operation in BNNs can be equivalent to binary value multiplications, as illustrated in Table 1. Table 2 compares the accuracies of various methodologies on the CIFAR-10 dataset, demonstrating the progress made in BNN research.
Table 3: Comparative Analysis of Accuracy Performance on ImageNet Dataset
The table below presents a comparison of accuracy rates on the ImageNet dataset, derived from the methodologies discussed in this section. Full-precision network accuracies are also included for reference.
| Methodology | Topology | Top-1 Accuracy (%) | Top-5 Accuracy (%) |
|---|---|---|---|
| Original BNN | AlexNet | 41.8 | 67.1 |
| | GoogleNet | 47.1 | 69.1 |
| XNOR-Net | AlexNet | 44.2 | 69.2 |
| | ResNet18 | 51.2 | 73.2 |
| DoReFa-Net | AlexNet | 43.6 | - |
| Tang et al. | - | 51.4 | 75.6 |
| ABC-Net | ResNet18 | 65.0 | 85.9 |
| | ResNet34 | 68.4 | 88.2 |
| | ResNet50 | 76.1 | 92.8 |
| BNN+ | AlexNet | 46.11 | 75.70 |
| | ResNet18 | 52.64 | 72.98 |
| Full Precision | AlexNet | 57.1 | 80.2 |
| | GoogleNet | 71.3 | 90.0 |
| | ResNet18 | 69.3 | 89.2 |
| | ResNet34 | 73.3 | 91.3 |
| | ResNet50 | 76.1 | 92.8 |
Methodology Details
- Original BNN: Utilizes a sign function for activation and has no gain, multiplicity, or regularization.
- XNOR-Net: Employs a sign function with statistical gain, no multiplicity, and no regularization.
- DoReFa-Net: Uses a sign function with learned parametric gain, no multiplicity, and no regularization.
Tang et al. introduced the PReLU (Parametric Rectified Linear Unit) activation function, which is detailed in their work. The table lists the performance of various Binary Neural Networks (BNNs) on the MNIST dataset, including those using the L1 and L2 regularization methods. Notably, the accuracy for the method proposed by [51] was not explicitly stated in the source, but was instead deduced from the accompanying graphical representation.</s>
|
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5,
5,
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2560,
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1377,
1457,
4598,
72,
30973,
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1417,
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2127,
1980,
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1508,
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18325,
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2127,
1980,
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1417,
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72,
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2025,
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63,
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6057,
26992,
1384,
1863,
13818,
2560,
48993,
63,
1547,
1814,
3315,
72,
1417,
2629,
1457,
9673,
36424,
1664,
59342,
1384,
1980,
1417,
12384,
1367,
1450,
1863,
3105,
2149,
59342,
1384,
2478,
1863,
10120,
2760,
72,
5,
5,
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26696,
59325,
8637,
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1384,
5573,
1371,
1835,
2024,
1476,
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3220,
1385,
1441,
1972,
1796,
1449,
1580,
1385,
1441,
1432,
1358,
18403,
1384,
1980,
1449,
59361,
1352,
3220,
1385,
8260,
6907,
59342,
2319,
24920,
1525,
1875,
2104,
59342,
1696,
1751,
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8818,
72,
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1458,
10147,
2524,
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10120,
2760,
72,
59354,
5,
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1664,
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1417,
1523,
3041,
2566,
3424,
1385,
2163,
13005,
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1697,
1410,
3943,
1348,
39523,
7826,
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3220,
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3932,
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2163,
16836,
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20215,
2885,
1410,
1458,
14301,
2223,
2489,
1379,
5573,
72,
14891,
4456,
1457,
4957,
1951,
14724,
2352,
2336,
1410,
1358,
10305,
18592,
5436,
10627,
1457,
7731,
1727,
13126,
1385,
21979,
72,
4162,
3105,
5159,
1531,
1458,
4931,
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1807,
4008,
1421,
1358,
10305,
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5436,
10627,
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1523,
3642,
1457,
2676,
72,
2738,
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1476,
1601,
1441,
1933,
3611,
1933,
7595,
72,
3330,
5159,
1457,
4931,
1384,
8023,
1531,
59342,
1972,
59342,
1348,
2566,
63,
14956,
7047,
1385,
6276,
1421,
1358,
10627,
1457,
1417,
29446,
3027,
2286,
1580,
4319,
2139,
1525,
72,
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1449,
1876,
23140,
13005,
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1358,
4400,
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5626,
18503,
1384,
5573,
1371,
1835,
2024,
1476,
59361,
59328,
3220,
1385,
1441,
1972,
1796,
1449,
1580,
1385,
1441,
1432,
1358,
18403,
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1384,
1980,
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59361,
1352,
3220,
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8260,
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24920,
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10147,
2524,
1349,
1421,
1863,
10120,
2760,
72,
5,
5,
59389,
1363,
12349,
1980,
14724,
63,
59345,
59373,
4281,
2100,
5573,
3953,
72,
5,
5,
59354,
7233,
3551,
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1933,
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72,
2738,
15218,
9936,
59342,
1417,
59361,
1412,
2003,
1358,
2456,
3909,
1432,
15228,
1384,
2002,
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1863,
2407,
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34023,
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72,
2738,
8947,
1457,
59342,
1432,
15228,
1417,
59361,
1412,
2003,
1348,
54179,
1347,
38153,
5967,
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2513,
1457,
1410,
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5233,
1450,
4949,
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2303,
1348,
3718,
1379,
2456,
3909,
1457,
1502,
4907,
1421,
13946,
2042,
1972,
1536,
72,
18624,
59342,
1417,
11154,
2424,
59361,
59323,
3671,
1457,
1358,
30050,
4471,
1432,
15228,
1410,
3098,
8040,
1972,
1358,
28334,
11079,
59342,
1384,
1358,
4949,
28334,
2568,
7932,
1502,
8040,
72,
2738,
1417,
9673,
2629,
1476,
59361,
59328,
1348,
3718,
21741,
1421,
2054,
1377,
1348,
7826,
1972,
1536,
72,
3055,
59342,
1377,
1348,
2369,
59342,
1417,
59361,
59335,
25870,
1421,
2560,
1348,
28334,
11079,
1377,
1536,
7826,
72,
9848,
1417,
1580,
1843,
3374,
1385,
2163,
2608,
2456,
3909,
1385,
3176,
1358,
4767,
2030,
1377,
1348,
7826,
1972,
1536,
72,
5,
5,
24346,
43972,
59358,
12342,
5091,
59342,
1863,
4794,
8627,
4462,
72,
3055,
2352,
2055,
1457,
11222,
59342,
1645,
4746,
1379,
1531,
7932,
2042,
8181,
1707,
72,
13244,
59342,
1863,
9340,
2728,
1952,
1441,
1972,
1496,
1639,
1379,
1449,
1571,
5671,
1450,
1664,
2620,
1384,
1863,
2994,
1523,
2587,
63,
59336,
17240,
1531,
59342,
1384,
59342,
1696,
17086,
2168,
59342,
1863,
21736,
4870,
1664,
1377,
59342,
1951,
2100,
2994,
72,
3055,
1417,
59361,
59335,
3098,
25870,
1385,
1580,
1348,
9849,
2697,
2336,
1457,
1417,
59361,
1412,
2003,
1421,
1348,
1856,
2336,
72,
2738,
1417,
2629,
59342,
2336,
2042,
1450,
14724,
59342,
1417,
1571,
59361,
59323,
2198,
1842,
1379,
1863,
36360,
59342,
1972,
1417,
1571,
59361,
59323,
4984,
1385,
6461,
59342,
3098,
72,
1417,
59361,
59335,
2042,
4279,
1379,
16157,
2438,
1450,
1536,
2994,
1457,
1417,
59361,
59335,
5503,
1450,
72,
1417,
1891,
3429,
17012,
1434,
59342,
1476,
59361,
59328,
1458,
6198,
2885,
72,
3163,
59342,
14527,
59342,
27912,
59342,
1417,
2424,
59361,
59323,
2127,
2024,
1417,
1952,
1580,
3952,
1796,
1828,
32390,
59361,
59323,
5278,
1664,
1377,
72,
1417,
1952,
2042,
1441,
1450,
1895,
4663,
2994,
4703,
59342,
5490,
2911,
4718,
53203,
72,
3055,
59342,
1417,
59361,
59335,
6232,
25870,
1450,
1807,
7826,
2352,
2336,
72,
5,
5,
59354,
7704,
72,
59354,
5,
5,
2778,
27393,
59358,
4162,
3105,
7250,
1828,
1727,
16739,
1865,
10207,
4855,
59342,
2914,
5567,
63,
35349,
59342,
1697,
3428,
1664,
1757,
4629,
12448,
1385,
4816,
1348,
10427,
13882,
1510,
1358,
2652,
11158,
59342,
1384,
1417,
5175,
59361,
59323,
2164,
1712,
54088,
1707,
2132,
1417,
1952,
1441,
23078,
3070,
33631,
3639,
5567,
63,
40107,
72,
1417,
2003,
6359,
2128,
1358,
5645,
63,
58752,
2071,
1525,
1358,
11717,
59342,
7583,
1863,
4008,
1523,
59342,
27336,
59342,
25402,
72,
4162,
72,
4162,
10120,
2760,
1751,
19216,
59361,
59323,
1843,
1467,
2119,
59342,
1696,
1417,
59361,
1412,
4430,
1358,
2456,
1417,
4907,
1385,
1421,
1476,
72,
5,
5,
59354,
2153,
1348,
2369,
59342,
1417,
2424,
59361,
59323,
2629,
1457,
1417,
1952,
1580,
1645,
1536,
2872,
1385,
1664,
1796,
1417,
9471,
59361,
59323,
1348,
28334,
2568,
11079,
1510,
1895,
2412,
72,
2738,
1417,
2629,
1457,
1410,
1358,
6094,
1457,
9673,
3923,
1385,
1441,
3005,
17654,
72,
59354,
5,
5,
22871,
2485,
2132,
1449,
2303,
2456,
1467,
1449,
9002,
46808,
1615,
3385,
1379,
30050,
2714,
59342,
1384,
2024,
5112,
2456,
1449,
2911,
1929,
72,
7016,
59342,
2024,
1952,
1449,
2235,
2104,
3429,
1377,
6305,
59342,
1508,
3059,
12944,
59342,
1385,
2127,
72,
5,
5,
38903,
1534,
59358,
1417,
1952,
3255,
59342,
5410,
1377,
1863,
1933,
1856,
1379,
8242,
59342,
1417,
2303,
2456,
1377,
4234,
38515,
26176,
59342,
1863,
1432,
63,
21958,
1406,
1933,
63,
28444,
59342,
3250,
63,
30797,
3778,
59342,
1384,
1863,
14889,
31718,
1510,
1358,
38160,
5455,
59342,
1384,
2478,
2911,
1863,
1981,
3105,
16434,
13835,
5281,
59378,
2348,
59339,
72,
3163,
1417,
11381,
59361,
59323,
30071,
59342,
1508,
5175,
59361,
59323,
2127,
1980,
1385,
30071,
59342,
6131,
6208,
1379,
1457,
72,
2738,
2596,
2336,
1863,
7826,
1410,
4718,
3162,
59342,
1417,
2127,
1348,
3718,
1379,
7058,
5432,
3235,
4694,
13023,
1508,
2456,
3934,
3965,
1476,
59361,
59328,
2493,
1379,
4427,
22572,
25014,
59342,
1508,
9075,
2030,
72,
2522,
5935,
59342,
1753,
4022,
1910,
1573,
6271,
10954,
30050,
11079,
1896,
1491,
8958,
59361,
59328,
8138,
1379,
30050,
2714,
72,
3163,
1457,
9081,
3888,
1733,
2302,
3322,
59342,
2493,
2104,
1502,
23078,
1377,
21213,
59342,
1508,
1450,
1875,
2104,
1872,
10217,
59361,
59323,
5501,
30050,
1877,
1491,
8958,
72,
1646,
1863,
2844,
59342,
1450,
1863,
2994,
59342,
1417,
5175,
59361,
59323,
25832,
1421,
1842,
6271,
1508,
1573,
2302,
6271,
59342,
1384,
1417,
2911,
2424,
59361,
59323,
25832,
1421,
2608,
6271,
3911,
72,
1646,
2354,
59342,
1358,
3862,
3651,
1417,
12179,
1707,
1358,
1493,
11695,
6541,
59342,
1358,
4008,
23803,
1796,
1358,
34205,
1410,
23140,
30050,
2714,
59342,
1697,
1417,
1523,
72,
3055,
1417,
3193,
11045,
72,
5878,
1476,
23803,
59342,
1496,
11825,
1449,
1348,
23299,
1379,
1358,
2506,
59342,
1508,
1458,
1694,
1405,
4145,
1363,
1907,
11079,
74,
59354,
1417,
59361,
59335,
1573,
59342,
1733,
1417,
3193,
1919,
72,
2738,
2110,
59342,
1972,
59342,
1458,
3462,
4729,
4073,
1358,
4925,
1384,
4934,
59342,
1972,
59342,
1496,
36969,
59342,
1449,
2563,
1348,
18528,
1887,
59342,
56255,
59342,
1449,
2264,
1449,
59361,
1352,
30050,
59342,
1696,
2110,
1544,
2264,
1919,
1385,
2009,
1939,
2018,
4148,
72,
59354,
1826,
4277,
59361,
59323,
2144,
6423,
72,
2738,
1457,
59361,
59328,
2493,
1358,
4008,
1410,
1899,
1712,
1377,
1348,
2369,
1457,
1476,
1564,
2756,
2608,
19204,
1379,
10038,
1467,
1377,
31121,
1450,
1358,
8138,
1379,
30050,
1457,
1476,
1410,
12446,
1450,
72,
3163,
1796,
72,
72,
5,
5,
59354,
6168,
72,
59354,
5,
5,
59389,
1363,
59358,
4162,
9537,
2456,
59342,
2319,
1377,
1981,
3105,
1384,
1377,
8242,
59342,
1882,
1417,
1523,
1377,
1981,
3105,
59342,
1649,
1843,
1358,
2104,
1872,
1502,
1377,
6896,
1379,
1863,
27353,
72,
3330,
59361,
1412,
1843,
1358,
2104,
1872,
1502,
1887,
1384,
1580,
1843,
3374,
1385,
5390,
1664,
1450,
1358,
10676,
6131,
1417,
1929,
59342,
1697,
1649,
9673,
1843,
5310,
72,
3163,
1417,
1952,
1972,
1887,
1385,
1441,
1348,
30050,
1399,
1627,
4125,
1421,
8242,
3650,
72,
36459,
1882,
1476,
4729,
1385,
20245,
1707,
1358,
1493,
11695,
6541,
72,
2522,
28812,
59342,
1476,
5802,
2054,
8628,
1458,
7946,
1385,
8649,
1707,
1358,
1493,
11695,
6541,
72,
2522,
1664,
59342,
1476,
1571,
2661,
13513,
1525,
1348,
3129,
1385,
2566,
5507,
59342,
2493,
1379,
1645,
1358,
2434,
1417,
1580,
1385,
10857,
72,
1417,
1751,
1580,
1458,
3716,
1421,
1449,
1645,
1385,
1717,
1707,
1951,
1615,
3778,
1384,
2163,
1615,
3011,
11079,
30050,
2714,
59342,
1508,
28334,
2568,
11065,
72,
2738,
3716,
2054,
2024,
3450,
1828,
1952,
1972,
1385,
2198,
72,
9848,
2596,
1554,
1580,
1348,
10468,
2438,
1379,
11079,
1450,
12062,
10038,
59342,
1887,
1502,
1919,
16696,
1450,
4648,
1450,
19106,
10038,
1645,
1865,
1358,
8976,
59342,
1554,
1929,
1766,
9169,
1385,
1441,
9712,
1467,
2119,
1384,
1766,
23803,
1385,
1441,
48658,
1385,
72,
5,
5,
59389,
1363,
12349,
1980,
11061,
1476,
1952,
1441,
1796,
1887,
1410,
1348,
30050,
1399,
1627,
4125,
9589,
1421,
8242,
3650,
72,
5,
5,
6002,
20323,
59358,
1417,
2303,
2456,
3909,
1432,
15228,
2128,
28334,
2568,
3909,
1457,
2456,
4949,
28334,
11079,
72,
1417,
59361,
1412,
2303,
2456,
2128,
49920,
59342,
2128,
2104,
1872,
5901,
1432,
1863,
28334,
2568,
2844,
59342,
1384,
2994,
1872,
2911,
4697,
1377,
6293,
72,
3163,
59342,
1377,
1348,
2369,
59342,
1417,
2424,
59361,
59323,
2629,
1457,
1417,
1952,
1580,
1645,
1536,
2872,
1385,
1664,
1796,
1417,
9471,
59361,
59323,
1348,
28334,
2568,
11079,
1510,
1895,
2412,
72,
2738,
1417,
2629,
1457,
1410,
1348,
6094,
1457,
9673,
3923,
1385,
1441,
3005,
17654,
72,
9848,
1377,
1348,
2369,
59342,
2478,
10651,
1951,
1863,
52308,
2945,
63,
1347,
59342,
10882,
1358,
5225,
3399,
59342,
1449,
2424,
59361,
59323,
2198,
2456,
3909,
1421,
2608,
1457,
1502,
30050,
59342,
2608,
1457,
1502,
1377,
1929,
1379,
2111,
1457,
9387,
1358,
3105,
2291,
3331,
2676,
72,
5,
5,
24346,
43972,
59358,
1417,
2303,
1348,
3718,
1379,
2111,
2128,
1358,
26162,
1347,
3814,
63,
59408,
42863,
5436,
1510,
1863,
1981,
3105,
72,
1826,
4580,
19224,
59342,
4186,
72,
1826,
10084,
1882,
1887,
1523,
52107,
1457,
4907,
1385,
1441,
8669,
72,
1417,
2003,
1919,
5010,
2024,
1417,
1523,
4757,
72,
1826,
6232,
2636,
14067,
1664,
72,
1417,
5490,
11947,
59361,
59323,
1580,
8491,
1981,
3105,
1796,
1417,
5175,
59361,
59323,
2127,
1980,
1385,
8649,
1707,
52107,
2750,
1458,
8575,
72,
1417,
2629,
7731,
1384,
5600,
59342,
2042,
5324,
1457,
72,
5,
5,
24346,
43972,
12349,
1980,
1358,
26162,
1347,
3814,
63,
59408,
42863,
5436,
4957,
1348,
3510,
3470,
1377,
2100,
1981,
3105,
4989,
72,
5,
5,
2778,
27393,
59358,
1417,
59361,
1412,
2303,
2456,
1525,
1863,
10115,
2994,
59342,
1895,
1379,
10805,
1417,
59361,
59335,
5503,
1450,
2352,
2336,
1384,
1580,
1843,
5503,
1450,
3021,
1863,
3105,
59361,
59328,
19391,
59342,
1863,
10676,
34914,
3019,
1358,
11943,
6955,
2513,
59342,
1467,
2119,
1467,
35519,
4648,
1872,
2376,
1863,
5632,
1384,
12435,
1664,
1951,
25895,
59342,
49920,
59342,
1384,
6271,
72,
9768,
11914,
1384,
5600,
1377,
1863,
1981,
3105,
1727,
21683,
30133,
1384,
5324,
1450,
1664,
1467,
2119,
72,
3721,
6094,
2024,
8078,
1384,
12429,
1364,
6131,
59342,
6271,
59342,
22073,
1502,
1707,
1887,
59342,
1919,
6094,
1980,
2119,
1828,
59361,
1352,
19403,
59342,
1796,
1348,
6544,
1872,
3923,
2054,
4277,
59361,
59323,
2127,
1835,
2054,
59342,
1384,
4277,
59361,
59323,
1580,
1358,
2456,
4907,
1385,
6276,
1385,
2054,
59342,
1828,
59361,
1352,
40109,
72,
1417,
59361,
59335,
2362,
46736,
1385,
1580,
2003,
3235,
1385,
1458,
8078,
1981,
3105,
17231,
1355,
59342,
1467,
2119,
1467,
1348,
2189,
1379,
5883,
1384,
14686,
59342,
1872,
13530,
1664,
1385,
4234,
38515,
26176,
1384,
1875,
7299,
6131,
72,
3163,
1573,
6369,
1649,
5307,
1872,
1410,
30133,
1384,
7686,
5390,
2054,
1385,
1358,
8592,
1828,
1929,
1385,
42617,
1434,
9481,
1384,
2144,
1476,
1707,
1379,
1766,
19169,
12448,
17237,
72,
1417,
59361,
1412,
2025,
2563,
1476,
1385,
8225,
3063,
2493,
1417,
4870,
9324,
1379,
8592,
1457,
5248,
1863,
2369,
59342,
1384,
1796,
1417,
5175,
59361,
59323,
1580,
2054,
59342,
2110,
1417,
1952,
59361,
1412,
2003,
1919,
37368,
1980,
1385,
4780,
6276,
1385,
25895,
1384,
8187,
49920,
72,
7790,
1384,
1645,
6131,
1929,
1385,
1441,
8870,
1384,
2563,
6377,
14483,
1384,
2671,
1597,
59342,
1573,
2025,
1385,
17162,
30050,
59342,
28334,
59342,
1384,
1510,
63,
20523,
11079,
59342,
1696,
1751,
1385,
14918,
17231,
1698,
1384,
3778,
13793,
1872,
1982,
1441,
3374,
1385,
4473,
3650,
1385,
6271,
59342,
1384,
1385,
2456,
2054,
1467,
1828,
6276,
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<s> Homelessness and the Pandemic: Five Youth Share Insights
The COVID-19 pandemic has disrupted lives in unimaginable ways, and education is no exception. Fourteen million college students have been impacted by COVID-19, with many losing access to essential resources, educational opportunities, and housing. Youth with previous experiences of homelessness have long faced significant and unique barriers to pursuing postsecondary education, but their challenges have been further amplified in the wake of the pandemic.
On July 14, 2020, we connected virtually with five youth: four SchoolHouse Connection Young Leaders and a Youth Advisor for National Network for Youth. We listened as they reflected on their childhood experiences of homelessness and shared their experiences and challenges navigating college and homelessness in the wake of COVID-19. The briefing was the first of three virtual Congressional briefings on family and youth homelessness co-hosted by SchoolHouse Connection, the National Network for Youth, Family Promise, and First Focus Campaign for Children.
The youth panel discussion was moderated by SHC's Director of Youth Leadership and Scholarship, Jordyn Roark. U.S. Representatives John Yarmuth (D-KY) and Don Bacon (R-NE), who are co-sponsors of the Emergency Family Stabilization Act, H.R. 7950, joined as special guests. The highlights from the hearing are summarized below.
Christine: Hello, everyone. My name is Christine. I'm 19 years old. I am a rising junior studying communication at Stanford University and right now I'm interning at both a media-for-good company called Golden Hours Production and at my university's career center for Diversity, Catalyst, that's me.
Han: My name is Han and I am a rising junior at Weber State University studying archeology and environmental studies. Presently, I'm working with the National Network for Youth as a youth advisory member, along with working at a local call center.
Anthony: Hello, my name is Anthony and I'm 19 years old. I'm actually a former foster youth. I currently attend the University of California, Los Angeles, UCLA. I just finished my first year, and I am currently studying sociology. I'm definitely interested in getting into the sports management field once school ends. That's just a little bit about myself.
Yesenia: Hi, my name is Yesenia. I'm 18 years old, and in the fall, I'm going to attend Heritage University on a full-ride scholarship. I work at Swan Vocational Enterprises. It's a vocational training program for native youth on the Yakima Reservation.
Christian:Hi, I'm Christian Alexander, and I'm a Sophomore attending Washington University as a Danforth Scholar, specifically majoring in Mechanical Engineering, and minoring in Writing. As of right now, I'm interning in Children's Television Production through the Television Academy Foundation.
Can you share a little bit about your experiences of homelessness prior to COVID right?
Christine: My experience has been cyclic. I've moved 18 times in 19 years, transitioning between housing rentals, shelters, and motels. The period of homelessness that is the most distinct in my mind, I'd say, is when I slept in a storage unit for five days the summer before my junior year of high school. What happened was my family was evicted from a motel, because we were short on cash. My mom was working as a nurse, but her next paycheck wouldn't come for another five days. And the owners weren't going to wait. So we reached out to shelters. We were turned away. And we were renting a storage unit where we kept our non carry-on items. Having nowhere else to go, we decided to sleep in it. And while my mom would leave for work at, like 6AM, my sisters and I would walk with her to the train station, and then walk to the public library to wait for it to open. We had $12 to ration over the span of those days, so we sustained on, like, dollar hot dogs at 7/11, and hot fried chips. And we relied on the public library to wash ourselves, change our clothes, and work on our summer assignments, because the grind does not stop. And then at the end of the day, we would meet our mom at closing. And we would go to the unit and do the same thing again the next day. And then the next four days after that, we survived, eventually getting into a hotel, But the stress didn't go away. I. So, that's just a little bit about what I went through.
"I."
Han: My homelessness journey started almost exactly three years ago. I grew up in an extremely abusive situation with a single mother, who had unmedicated mental illnesses. When I was in seventh grade, I first reported my abuse to the proper authorities at the Department of Child Welfare. And because I was expected to have good grades, and I did have good grades, the social worker who was assigned to my case laughed at me and said that "children with straight A's aren't abused." After that, I realized that there wasn't really a government agency that could help me. So, fast forward a few years to the summer before my senior year of high school, I was at a point in my life where I thought my mother was going to kill me, or I was going to kill myself. She had been waving knives around at me, and threatening me, and completely eliminating my self-esteem. I didn't have much hope. I knew that I didn't want to die though, so I packed the bag, and I ran away. By sheer chance, I had heard about our youth shelter in the community that opened only a couple of years before that, and I was able to go to that shelter and stay there for the duration of my senior year of high school. Some of the challenges that came during the time, were, you know, getting to school by myself. There wasn't really like shelter resources, and then being fully, responsible for myself without any familial support. Stuff like that.
Han describes her challenges while staying at a shelter.
Anthony: My time being homeless was definitely really tough. As I said before, I'm a former foster youth, due to physical abuse from my dad, which was very unfortunate. I aged out of the system at 14 or 15, when my great grandmother, and great aunt, actually took guardianship of me, which I was very grateful for, so I was used to not really having a consistent, stable home throughout my life. So, fortunately, I was able to move in with them and stay with them for a while. And eventually, I returned back to my dad, who was actually working a custodian job at San Diego State, which definitely wasn't enough to live in San Diego. Even in terms of Section 8 AND living in affordable housing. So unfortunately, about 3 or 4 years ago, we were evicted from our apartment, having to go from hotel to hotel, to sometimes even having to stay in the van, which was very tough. During this time, I was also with my brother, which was probably the most standout moment through it all, because me and my brother actually have a really strong bond.
Yesenia: I lived with my step dad and my mother for all my life and with my five siblings, I'm like a middle child. One summer, I think it was like my seventh grade, my step-dad said that he didn't want to work anymore. He just wanted to fish on the river, because that's what he loved to do. So we just packed up, and we moved. We had two tents. One big one for me and my five siblings, and one for my mom and dad, and we ended up losing our house because of it. So, we ended up just having to live in those two tents down, in this camp area, by the river. We had a communal bathroom and we practically just worked to live. My youngest sibling was 8. And you know, we were just out fishing all day, just trying to have dinner and there was a lot of just like staying with family and just trying to 'mooch' off of other people because we couldn't do it ourselves.
Christian: I was homeless for a good portion of 2017, and this stemmed from years of my great uncle's mismanagement of the family home, resulting in it being sold without our notification, and the sheriff evicting my grandmother and I. For the next three months, we either stayed in a motel that was paid for by Los Angeles County for some time, or with my uncle in the new home he lived in with other friends of his, often cycling between the two in every few weeks. The home we lived in with his uncle had 4 other people and two dogs living within it, and I often slept on couches or air mattresses, as there often wasn't enough space in the house. The motel consistently reeked of cigarettes, and at night, it was oftentimes hard to concentrate on a homework assignment given the noises that came from rooms right next door to mine. After that, my grandmother and I moved into a transitional home and lived there with as few as one other family, or as many as three other families, at any given point over the next 5 months, while we stayed there. All of this was during my sophomore and junior years of high school, and I was able to persist during this time by prioritizing academics and my performance in classes so that I could try to guarantee my acceptance into college, which, thankfully, did happen. My high school counselor was incredibly supportive and helpful for me during these trying times, and a lot of my teachers were understanding and supportive whenever I struggled with completing assignments and all.
Would you mind talking a little bit about what it was like staying in a motel and hotel?
Christine: It wasn't the best situation, primarily because the hotels that we could afford to stay in were often, I guess I don't want to say sketchy, but not the safest. And that would mean that we were surrounded by a lot of workers, and specifically at the motel I stayed in during my senior year of high school. There are a lot of sex workers, and a lot of, like, panderers or what people call pimps trying to recruit me and my siblings. And then, constantly, dealing with hearing cases of domestic violence, occurring around you, and always being concerned about "OK, do I have a place to eat? Do I have a roof over my head, but is it even safe for me to be here?" And constantly going outside and leaving the room was also a risk, which my family had to do every day just to live our lives.
"When COVID hit, my dorm gave us three days to find housing and not having a secure person I could go to, to find housing,The struggle is not actually ever having anywhere you belong. And not having stable housing to go to and literally one person saying 'you can't stay with me' away from being on the streets again."
Christine describes what living in a motel was like.
Can anyone speak to your experiences staying with other people temporarily, whether it be during breaks, when your colleges are closed, or prior to college?
Han: So, during my summers and my break, I don't have that family that I can go and stay with. And so, last summer, I was able to do a conservation corps internship my entire summer, living in the provided housing, which is a tent out in the middle of nowhere. But during other breaks, I have to find people on a whim, and when COVID hit, my dorm gave us three days to find housing and not having a secure person I could go to, to find housing. And so, the struggle is not actually ever having anywhere you belong. And not having stable housing to go to, and literally one person saying "you can't stay with me" away from being on the streets again. And it's this constant thing, every summer and every holiday, I'll have to go through, until I have enough savings to have my own place, and have that secure housing.
Christian: I stayed with other people while my grandmother and I lived at my uncle's house, and also in the transitional home. This environment wasn't the most adequate for my grandmother and I, as we were essentially living in a full house that wasn't entirely clean or adequate. Internet access from my laptop wasn't always consistent and guaranteed, which meant that I used my uncle's computer whenever he wasn't using it. The transitional home wasn't the most stable or secure living situation for my grandmother and I. On a month-to-month basis, some families cycled in and out of the home, many of which were potentially-unstable single-mother families. A refrigerator, kitchen, and two bathrooms were shared between as few as two and as many as four families. There were also a fairly large number of children in the home at any given date and time as well. Early and late evenings on my end were typically spent studying and completing homework assignments, all while finding the quietest area of the home or, when WiFi was intermittent, working downstairs, where the connection was the strongest. Personal privacy and space was nearly nonexistent, but I was able to focus on my academics to make it through. Given how many people were in the house, there would often be tensions. There was even a moment where a child of one of the family used a racial epithet in the presence of my grandmother. Thankfully, the landlord was able to resolve this concern, but this incident could have potentially grown into something worse if she didn't address the comment.
Can you take a second to imagine, back in those stories that you told us of your K-12 experiences of homelessness: what if COVID-19 happened while you were experiencing homelessness as a K-12 student? What would that experience have been like, and what do you imagine that some of the challenges would have been for you?
Christine: Yeah, for sure, I would have been more vulnerable with a virtual learning environment. Because my main source of my meals came from free lunch programs, and I'd bring food back home to my family. Because the majority of my support networks worked in the high school building, where I went to school. For instance, my Assistant Principal McBeady, she had an office where she would let us, like, ransack the room for tampons, or razors, and she'd bring these home-cooked meals where we can eat there, and sleep. And to be separate from that, those resources would have been nightmarish to say the least. But see, and I kinda touched on this previously, school acted as a partial shield from the violence and abuse I was exposed to where I was staying; even though I was staying in a hotel, and we had a secure roof over our heads, the situation was still scary. The hotels, like I said, were cheap, but also dangerous because I recall coming back from school one day, and the police being outside our door with yellow tape, because there was a sex worker who was assaulted and murdered in the next room. I remember coming home to a SWAT team busting down the door across the room because the people were hoarding firearms. And, like, hearing domestic violence cases happen all the time. And. So with that in mind, I think that I would have been more vulnerable if I wasn't at school for most of the time. And I can imagine COVID making that even more scary.
"The majority of my support networks work in the high school building, where I went to school…And to be separated from those resources would have been nightmarish to say the least."
Han: My experience is that living in a shelter, we had 14 beds that were almost always full, and also served as a drop in resource center. So there were constantly people coming in and out of my house. But we had 14 people living there, and only six computers, so if my education had been moved online, it would have been a battle for who got the computer at what time, and it would have been constant chaos. I mean, I even had a hard time doing my homework when I was at the shelter, just because there's always so much noise and so much happening. And a lot of chaos, so it wouldn't have been an environment that's conducive to being able to learn. Even before I was homeless, if I had been back at home during quarantine with my abuser, I don't know if I would have survived that period. Summers, I was always doing school activities as well, because school was my safe space. And having that safe space completely taken away would not have been a good situation at all.
"And."
Anthony: Yeah. I definitely agree with everything that all the other panelists say, along with that, I think just going through these unreal experiences already in being homeless and, going through a time that nobody really understands just in general, would be even crazier. In my situation, technology wasn't really available. So for students who are learning virtually on their laptops, and things like that, I think it would have been nearly impossible for me to get the education I needed, and along with what Christine said, school was definitely kind of a get away from me. Living in a house where physical abuse was very common, spending many hours in that home would be even more worrisome to what could possibly occur. So I think just having the education that we needed, obviously to learn, but also as, as our second home in a way, it would be taken away from us.
Christian describes the challenges of virtual learning due to the lack of access to technology.
Yesenia: Yeah, I agree with what everyone said. When I was living there, I, I don't know how I would've made it either, like with so many siblings and both of my parents that were drug users, and my stepdad was abusive, and there were multiple people in our camp that were sex offenders and I was definitely sex abused and being trapped in that camp. Yeah, I don't know how me, or any of my siblings would have survived living there that long. We lived off of generators, so we would only have like an hour of electricity per day, so I don't know how, like we wouldn't have done online learning, because we couldn't, we just couldn't.
"Living in a house where physical abuse was very common, spending many hours in that home, would be even more worrisome to what could possibly occur. So I think just having the education that we needed, obviously to learn, but also as, as our second home in a way, would be taken away from us."
Christian: To. Virtual learning removes the one-to-one connection that comes from interacting with students and teachers daily at school. Internet issues, the instability of my surroundings, lack of human connection, among other COVID-related factors, would've greatly reduced the chances of my being able to succeed during K-12.
"To."
Now that you're in college, we know that COVID-19 has impacted you. So let's talk about what's actually happening now. How does the COVID-19 outbreak impact your housing, your education, and your health?
Christine: Yeah, for sure. Again, I was uprooted from my previous learning environment, and I now rely on my house for resources that I received on campus, but they simply don't exist here. And during the rest of the semester under COVID, I was constantly juggling my school obligations. And the stress of my mom being an essential worker in the only COVID-designated hospital throughout Brooklyn and my sister being immuno-comprised. I think that definitely impacted me, and how I interacted with my schoolwork, and even my mental health.
"Experiencing housing insecurity with the added stress of there being a global pandemic, and stressing about what it's going to be like if you have to be on the streets and how you're going to protect yourself, both physically from other people, but also from the virus. So it has been an absolute downer for my mental health."
Han: For me, it's about the same issue, where I was given three days to find housing, which is already a stressful situation, even if you know where you're going, but having to find somewhere where you don't have a steady place is an entirely different level of stress. Another factor that played into COVID right now is the CARES Act funding that schools were supposed to distribute. My school sent us an email about our application for the CARES Act funding that was due that day. And that it will be first come first serve. They sent that email and gave us, like, a three-hour window to apply for the funding that I desperately could have benefited from. Then you add experiencing housing insecurity with the added stress of there being a global pandemic and stressing about what it's going to be like if you have to be on the streets, and how you're going to protect yourself, both physically from other people, but also from the virus. So it has been an absolute downer for my mental health.
Han describes how COVID-19 increased her stress levels.
"Attending UCLA for my first year."
Anthony: Everything everybody else said is definitely true, especially in my situation, attending UCLA for my first year, which. And fortunately, I've had the support systems on campus and off campus, and my great aunt who is temporarily staying in a 55 and older housing area/community, which unfortunately is definitely temporary. And beyond that, on campus I've had a Bruin Guardian Scholars program that is very involved with former foster youth and I've found a lot of support systems that are needed for situations just like this. Unfortunately, I truly don't feel that the homeless population on campus is really supported like the foster youth, and the former foster care kids are supported. And I definitely think it's a lot harder for them in a situation like this. So, in a way, I'm grateful for being a foster youth in this situation. Because I have been able to find those support systems to offer the necessities in a situation like this.
Yesenia: Last April, my mom passed away. So right after that happened, all six of us kids just spread out. Like, my grandma would be like "one of you can stay with me," and my family was hand-picking us, and, but luckily, my boss took me in, into her family. So I'm really grateful to have a stable home now that I've had for a year now. And I think, now just with COVID, I can't see any of my siblings, like I can't talk to anyone, really. I'm just kind of stuck here with this family that I'm living with. I am working gladly, it's an essential place. But, um, yeah, I don't know what I would have done if they hadn't taken me in. I would just be with some random family member, probably still getting abused. So, I'm pretty grateful with our situation right now.
"My."
Christian: My school announced they were closing over spring break, around mid-March, which left me scrambling to buy a plane ticket at the last minute, and I didn't end up figuring out where I would be staying next semester until mid-August. I had applied through the late-stay form from the university, although my application was, unfortunately, rejected. My. My mental health also hasn't been as well, but I've received the support I needed to for it.
"In a way, I don't think that I would have all this available to me if I wasn't a foster care youth at some point. And I think that is the matter that definitely needs to be headlined."
Discuss where you found support as you navigated your experience of homelessness, and what additional support you still need. Also, what would you want people working in policy, or service providers, to know.
Christine: I would say, especially in my first year of college, I found support in SchoolHouse Connection, my on-campus first-generation, low-income community, and my supervisors at the Career Center, and even still my high school assistant principal McBeady. But I couldn't leverage, or didn't know how to leverage, resources outside of that. And while now my situation is getting better, I know a lot of families cannot access government aid or support — whether it's because of red tape confusion, or technicalities. For instance, more often than not programs serving homeless youth use HUD's definition of homelessness. But that ignores so many children, because people are staying in hotels, or with other people who aren't considered homeless under HUD. In my case, with my family, I didn't qualify for any programs or not many programs, and I still don't qualify for those programs today. In fact, the previous times I filled out the FAFSA, the application asks if the applicant is experiencing homelessness, which I was. So I check yes. Then it asks, "Are you a ward of the state, or an unaccompanied youth?" I'm not, so I check no. And then, like, an error comes across the screen and says, like, "Hey, you made a mistake there, buddy, you said you're homeless, but then he said no to these two data points." It doesn't make sense. And that's because the application is set up in a way that it deems those combinations of experiences as incompatible with the definition of homeless that it is familiar with. But if..
"If."
Han: My biggest support, both in high school and in college, when I was in high school, has been the people who are in charge of my scholarship. They've been the people who are there and have been able to connect me with the academic resources I need, which has definitely been useful. But I would like there to be a homeless liaison for college students. Especially when it comes to filling out the FAFSA. For peers, it takes them maybe an hour to fill out the FAFSA. For me, it can take anywhere from a week to three weeks, because of all the information I have to gather. I also have an ask for you all to go out into your community and find your local youth homelessness, or foster care provider. And ask them what changes they would like to see. Because while we have a panel here of youth with diverse experiences, there are no interviews with others with varied experiences all over the nation, we need their stories to be heard as well and their asks to be listened to.
Han describes how helpful it would be if there is a homeless liaison specifically for college students.
Anthony: I found support systems on campus through foster care systems that support former foster youth. I've found support through scholarships, through people who worked on my foster care case, and family who still live in California. But, in a way, I don't think that I would have all this available to me if I wasn't a foster care youth at some point. And I think that is a matter that definitely needs to be headlined. Because in a way, even logging into my UCLA log-in, seeing the front page, you don't see support systems for those that are homeless, those that are in need of help that attend the school every single day.
Yesenia: I found a lot of help through the McKinney-Vento Act at my high school. It provided clothes, food. It helped when there was paperwork that needed to be signed. I had no idea what I was doing. It pretty much saved me. I probably wouldn't have finished high school if I didn't know how to fill out paperwork without an adult. I think schools and staff, just understanding that.
Yesenia describes how the McKinney-Vento Act played a big role in her high school career.
Christian: I've found support from my extended family, some of whom I'm living with right now and have been living with since my school's closure, my academic advisor within the TRIO program, as well as countless others who read my applications and accepted me into colleges, scholarships, and programs. Many teachers and staff in my high school were incredibly supportive and understanding with me as well. No matter what amazing and phenomenal resources, programs, initiatives are out there, no matter how well they're funded, if a student who needs them doesn't know about them, and doesn't have the support needed to apply to them, they're useless. I'm very fortunate to have had access to an amazing high school counselor, as well as a number of friends and connections, who referred me to SchoolHouse Connection and other relevant resources. But not everyone has someone who is supportive and helps connect them to the opportunities they need to upwardly advance and make it out of their troubling circumstances. I've only made it to Washington University because I took advantage of opportunities that came my way, and if I didn't have them, then I would've had no clue how to actually apply to colleges and earn scholarships. Any and all resources need to be collected and made easily accessible and presentable, not only to prospective homeless, foster, and at-risk youth, but also to guidance counselors and community figures who may be able to refer students to programs, and to support them as they apply and stay involved with the program.
Q & A from Congressmen Bacon and Yarmuth
Congressman Bacon: Would it be helpful for you to have a mentor available, so that you can have someone to go to while transitioning out?
Han: I definitely think it would have been helpful for me to have had a mentor. I had a mentor who was able to help me navigate scholarships and that's why I was able to get a full-ride third party scholarship. But I didn't have anyone who could help me navigate, you know, healthcare or dental care, or even how to get a library card while being a homeless youth, and those could have been things that would have greatly benefited my experience and my ability to be self dependent.
Anthony: I can give a little insight on my situation. Mr. Bacon, I applaud you for being a foster parent. It's truly touching to hear that. I think being in the-, going through the foster care system, I can relate to a lot of things that you were pointing out. In my situation, I didn't necessarily have a mentor, but I did receive a court appointed special advocate, a CASA, in my case, where he was, kinda like a father figure in a way. Not as much of a mentor, to the effect that he was showing me how to really grow into an adult experiencing, and preparing for things like taxes, healthcare, and things like that, but, in a way, he was sort of a mentor.
Christian: Yes, having a dedicated, consistent mentor continues to be one of the most transformative experiences I've ever had. I am fortunate to have had a number of mentors through the college application process, and even now as I adjust into college and begin delving into my prospective careers. Someone who is consistent, energetic, genuinely invested in their student, and unafraid to check in on a student would make an incredible mentor in the middle of an uncertain time. It's worth noting that few of my mentors have actually been official; a lot of them have been teachers and figures who provided the same support as an actual mentor; at least, that's how I see them.
Congressman Yarmuth: Where does that strength come from? Is there a way to describe it? Do you think that you're strong?
Han: Sometimes, I think that I'm strong. Sometimes I go back to the fact that it's just survival. I did what I had to do to survive. I've pushed myself so that I can live a long life and be happy and be successful. And thankfully, I have the mental state where I can do that and I have the resources that have helped me get to where I am.
Christian: My strength came from desperation. Whether consciously or unconsciously, I knew I was in a bind and had no control over my immediate circumstances. But I knew that school was something I could control, so it gave me a sense of agency and initiative to excel academically, in whatever I commit to. I'd rather not call it strength; I feel as though me saying that about myself would eventually cause it to get to my head.
"I know that a lot of children have slipped through the cracks by now, they've just disappeared. So, reach out to them and ask the families and the youth what they need."
Congressman Yarmuth: If there's one thing that would've made your life significantly better during this period, what would it have been?
Christine: That's a hefty one. I think. I'm thinking like, oh, would it be like a bag of money? I don't think so. I don't think it would even been, like, a house. I think that. But really, what made a difference, just like I said before, is having like that safety net, like, I think the reason why it was so easy to slip in and out like, of like, housing insecurity was because like one day, my family would have it together, and then the next we'd be back on the street. So, even if it was just, I don't know, maybe if my family had more people to support them. That's why I'm very grateful for people like McBeady, when I was hungry, like that night, I didn't have to spend money on food, because she would bring us a meal, and I wouldn't have to spend money on an Uber, because she would arrange a bus. So that's an interesting question. But I would just say, maybe like a safety net.
Christian: Having a consistent mentor when things started. If I had that, then there's a good chance they could've referred my grandmother and I to resources that we didn't even know about, and could've also assisted me during most of 2017.
General Q&A
What would you suggest that school systems and providers can do to best support children and families in this upcoming school year?
Han: I would say reach out to them, and in more than one way, reach out to services that they commonly use. Because I know that a lot of children have slipped through the cracks by now, they've just disappeared. So, reach out to them and ask the families and the youth what they need. It's easy to assume that we know what they need, or what they want, because of what we would need, or what we would want, but we're not in their situation, and so it's really about acting and listening.
Han suggested that school systems and providers actively reach out to children and families experiencing homelessness.
Anthony: Kids and adolescents going into school this next year… I think at this time, it's most important for the teachers and school staff to really use those connections with the students that they've built, that this is the most important time for those kids. That the differences are really being shown — kids who are not in the same situation as the "average student," quote, unquote, are the ones struggling. And I think it's necessary for the teachers, and for the counselors and just everyone in the school staff to really just have open arms, especially for those homeless youth who don't necessarily have a place to go, for the panelists, just like us, in our situation. School was the number one getaway for us — so for homeless students who don't have that, I believe it's necessary to open up a safe space, like a library, or someplace on campus, to provide for those who are in situations like that.
Christine: Specifically, thinking like rural areas, try not to lose contact with your students, because, especially if technology is a barrier, it's very easy to lose track of who is where. And I know that school was one place where, like, McBeadie or teachers could be like, "Oh, Christine, like, are you OK, OK, like, you're safe, you're here." But with technology, and virtual schooling, that's not going to happen as much. So, be more intentional about that.
Christian: Listen to the concerns for any and all students who are at-risk, refer them to relevant community programs and resources, and also support them as they apply for opportunities, make use of their resources, and more.
What can be done by the Federal Government about this?
Christian: The government needs to provide the foundation for specific, regional programs to be established. A program's impact on a student-to-student basis is much more important than anything else, and by having programs that are well-funded and on a smaller scale, a student just may be able to make that genuine connection they need to elevate themselves. In essence, allowing for local reforms to be created and funded would mean at-risk youth could elevate themselves socially and economically,
Thoughts on having schools require cameras on during instructions over Zoom?
Christian: From a teacher's perspective, I can see the value of requiring cameras, so that you can verify a student's attendance and participation. However, students who are experiencing homelessness, while juggling inconsistent internet connection and general life instability, should be able to opt-out of this requirement, as it places at-risk students in an uncomfortable position of having to showcase their immediate circumstances and background to the whole class.
"We had a hearing in the Education and Labour Committee and we brought a young man named Robbie from my district, and Robbie told his story and how his life had been turned around by these programs. And literally everyone in the hearing room, Republicans, Democrats, staff, committee clerks and those who were there in the audience were in tears listening to his story. And so that, that showed me a couple of things. One is how effective these programs can be, and secondly, how easy it was to generate support for these programs."</s>
|
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] |
<s> import os
import urllib
import json
import requests
import re
from datetime import datetime
from decimal import Decimal
from date_detector import Parser
from vision.word import Word
from vision.lines_extractor import LinesExtractor
from vision.receipt import Receipt
from vision.constants import GRAND_TOTAL_FIELDS, SUBTOTAL_FIELDS, TAX_FIELDS, CASH_FIELDS
from vision.constants import LOGO_DETECTION, TEXT_DETECTION
from commonregex import CommonRegex
def scan_file(file_path):
# Instantiates a client
with open(file_path, 'rb') as fp:
content = fp.read()
image = Receipt(content)
content = encode_file(content)
return scan_content(content, image)
def scan_content(content, image):
google_api_key = os.environ.get('GOOGLE_API_KEY')
if not google_api_key:
raise Exception("Unable to find Google API Key")
response = requests.post(
'https://vision.googleapis.com/v1/images:annotate?key={}'.format(google_api_key),
json={
"requests": [{
"image": {
"content": content
},
"features": [
{'type': LOGO_DETECTION},
{'type': TEXT_DETECTION}
]
}]
})
if response.status_code != 200:
raise Exception("Google Error")
data = response.json()['responses'][0]
return build(data, image)
def scan(image_uri):
response = requests.get(image_uri)
image = Receipt(response.content)
content = encode_file(response.content)
return scan_content(content, image)
def encode_file(bytes):
content = base64.b64encode(bytes)
return content.decode('ascii')
def build(data, image):
receipt = {
'vendor': '',
'date': '',
'sub_total': '',
'tax1_amount': '',
'tax2_amount': '',
'tax3_amount': '',
'grand_total': ''
}
if not data.get('textAnnotations'):
return receipt
extractor = LinesExtractor(data, image)
lines = extractor.lines
sub_total, taxes, grand_total = build_amounts(lines)
# receipt['address'] = determine_address(lines)
# receipt['vendor'] = determine_vendor(lines)
# receipt['date'] = determine_date(lines)
receipt['sub_total'] = sub_total
receipt['grand_total'] = grand_total
receipt['lines'] = lines
receipt['extractor'] = extractor
# if grand_total == Decimal('0.00'):
# extractor.preview()
for i, tax in enumerate(taxes):
receipt['tax{}_amount'.format(i + 1)] = tax.numeric_money_amount()
return receipt
def build_amounts(lines):
grand_total = Word('0.00')
sub_total = Word('')
taxes = []
grand_total_line = None
sub_total_line = None
lines_with_amounts = list(filter(has_price, lines))
for line_number, line in enumerate(lines_with_amounts):
for field in SUBTOTAL_FIELDS:
if line.contains(field):
sub_total_line = line_number
sub_total = Word(line.amount)
break
if sub_total.numeric_money_amount():
break
if sub_total_line:
del lines_with_amounts[sub_total_line]
for line_number, line in enumerate(lines_with_amounts):
for field in GRAND_TOTAL_FIELDS:
if line.contains(field) and \
line.not_contains("sub") and \
line.not_contains("tax") and \
line.not_contains("beverage") and \
line.not_contains("excl"):
grand_total_line = line_number
grand_total = Word(line.amount)
break
if grand_total.numeric_money_amount():
break
if grand_total_line:
del lines_with_amounts[grand_total_line]
if (not grand_total or grand_total.numeric_money_amount() == 0):
if sub_total and sub_total.numeric_money_amount():
grand_total = sub_total
else:
_, grand_total = find_largest_amount(lines_with_amounts, index=0)
if not sub_total or not sub_total.numeric_money_amount():
if grand_total and grand_total.numeric_money_amount() > 0:
sub_total = grand_total
taxes = []
for line_number, line in enumerate(lines_with_amounts):
for field in TAX_FIELDS:
if line.contains(field) and line.amount:
taxes.append(Word(line.amount))
break
return sub_total.numeric_money_amount(), taxes, grand_total.numeric_money_amount()
def find_largest_amount(lines, index, ignore_amount=None):
cash_used = False
for line in lines:
for field in CASH_FIELDS:
if line.contains(field):
cash_used = True
break
amounts = []
for line_number, line in enumerate(lines[index:]):
if ignore_amount and line.decimal_amount == ignore_amount.numeric_money_amount:
continue
amounts.append({
'line_number': index + line_number,
'line': line
})
if amounts:
if ignore_amount:
amounts = list(filter(lambda x: x["line"].decimal_amount != ignore_amount.numeric_money_amount(), amounts))
amounts.sort(key=lambda x: x["line"].decimal_amount, reverse=True)
if cash_used and len(amounts) > 1:
return amounts[1]['line_number'], Word(amounts[1]['line'].amount)
if amounts:
return amounts[0]['line_number'], Word(amounts[0]['line'].amount)
return 0, Word('0.00')
return 0, Word('0.00')
def has_price(line):
return True if line.amount is not None else False
</s>
|
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5,
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1523,
11642,
5,
5568,
1523,
3410,
1887,
59342,
30652,
1544,
1523,
11642,
2
] |
<s> Matt Kennon - 'Til He Was Gone Lyrics
My Daddy was a man of contradiction
He never played a hero, but he was Superman to me
Even when I grew a little older, and Superman had turned a little grey
He was always right, he was sometimes wrong
He was sometimes weak, but always strong
He could come down hard, but not for long
He was always there, til he was gone
I swear I never saw that day coming
it brought me down to my knees to see his name in stone
I hope he understands how much I miss him
Ever since the Good Lord called him home
He was always right, he was sometimes wrong
He was sometimes weak, but always strong
He could come down hard, but not for long
He was always there, til he was gone
Now sometimes in the mirror he smiles back at me
and tries to give me strength to carry on
He was always right, he was sometimes wrong
He was sometimes weak, but always strong
He could come down hard, but not for long
He was always there, til he was gone
He was always there, til he was gone</s>
|
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] |
<s> using IGeekFan.AspNetCore.Identity.FreeSql;
using Olbrasoft.Blog.Data.Entities.Identity;
using Olbrasoft.Data.Entities.Identity;
using Olbrasoft.Extensions;
using System.Reflection;
namespace Olbrasoft.Blog.Data.FreeSql;
public class BlogFreeSqlDbContext : IdentityDbContext<BlogUser, BlogRole, int, UserClaim, BlogUserToRole, UserLogin, RoleClaim, UserToken>
{
protected override void OnModelCreating(ICodeFirst builder)
{
base.OnModelCreating(builder);
builder.ApplyConfigurationsFromAssembly(typeof(BlogFreeSqlDbContext).Assembly);
var typeInfos = new[] { typeof(IEntityTypeConfiguration<>) }
.SelectMany(openType => typeof(BlogFreeSqlDbContext).Assembly.DefinedTypes
.Where(t => !t.IsAbstract && !t.IsGenericTypeDefinition && t.AsType().ImplementsGenericInterface(openType)));
foreach (TypeInfo constructibleType in typeInfos)
{
if (constructibleType.GetConstructor(Type.EmptyTypes) is null)
continue;
foreach (var @interface in constructibleType.GetInterfaces())
{
var entityType = @interface.GetGenericArguments().First();
var property = entityType.GetProperty("Created");
if (property == null || property.PropertyType != typeof(DateTimeOffset))
continue;
builder.Entity(entityType, e => e.Property("Created")
.HasDefaultValueSql("SYSDATETIMEOFFSET()")
.Help()
.CanUpdate(false)
.CanInsert(false));
}
}
}
}
</s>
|
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1,
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1421,
3650,
59342,
1410,
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4572,
1457,
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1385,
1615,
7826,
72,
2
] |
<s> Section 4: Financial Accessibility
Financial accessibility, a key concern for students, is addressed here. While individual costs may diverge from the university's projections, Berkeley approximates the total annual expenditure for in-state residents dwelling in university accommodation to be around $32,600. We are curious to understand how you are financing your current academic year expenses, which encompass registration fees, housing, meals, transportation, and books. Please select all the relevant options that apply to your situation.</s>
|
[
1,
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64,
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63,
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] |
<s> # pylint: disable=invalid-name
# pylint: disable=missing-docstring
from flask import Blueprint, jsonify, current_app
import requests
import time
api_about_blueprints = Blueprint(
'api_about', __name__
)
@api_about_blueprints.route('/api/about/contributions')
def get_contributions():
url = 'https://api.github.com/'
repo = 'repos/DrewRomanyk/glamrous.me/'
token = current_app.config.get('GITHUB_AUTH_TOKEN')
headers = {'Authorization': 'token ' + token}
commit_request = url + repo + 'stats/contributors'
r = requests.get(commit_request, headers=headers)
while r.status_code == 202:
time.sleep(.5)
r = requests.get(commit_request, headers=headers)
commitCounts = {}
for contrib in r.json():
author = contrib['author']['login']
commits = contrib['total']
commitCounts[author] = commits
issues_request = url + \
'search/issues?q=repo:drewromanyk/glamrous.me+is:issue+is:closed&per_page=100'
total_issue_count = 0
issueCounts = {}
r = requests.get(issues_request, headers=headers)
json_data = r.json()
for issue in json_data['items']:
total_issue_count += 1
if issue['state'] == 'closed':
if issue['assignees']:
for issue_assignee in issue['assignees']:
assignee = issue_assignee['login']
if assignee not in issueCounts:
issueCounts[assignee] = 0
issueCounts[assignee] += 1
else:
print('WARNING: Issue #' +
str(issue['number']) + ' has no assignee')
response = {'contributors': []}
for user in commitCounts:
response['contributors'].append({
'author': user,
'commits': commitCounts[user],
'issues': issueCounts[user] if user in issueCounts else 0
})
total_commit_count = sum(commitCounts.values())
response['totals'] = {'commits': total_commit_count,
'issues': total_issue_count}
return jsonify(response)
</s>
|
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1384,
1358,
8603,
1601,
1441,
10177,
19748,
54616,
59342,
1384,
1554,
11098,
1645,
1441,
21335,
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1426,
59345,
4908,
35183,
5948,
59320,
59345,
59367,
59358,
59367,
59349,
59347,
72,
1900,
3184,
59342,
1358,
2554,
1608,
1997,
1552,
59342,
8319,
1358,
1933,
1608,
1997,
1552,
59342,
1697,
5802,
2885,
6138,
4516,
59361,
59328,
2702,
59342,
37945,
1358,
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1379,
5884,
20114,
63,
4115,
33284,
59342,
1467,
5083,
1377,
2518,
1692,
1409,
59320,
59349,
59344,
59358,
59381,
72,
5,
5,
2778,
3022,
59361,
59328,
13405,
59342,
9009,
1882,
9595,
3721,
1693,
8811,
50377,
10102,
1371,
59361,
59328,
2535,
1639,
1679,
1376,
43973,
53096,
1835,
1358,
2809,
59361,
59328,
2164,
59342,
15948,
2637,
3357,
1486,
72,
6739,
27003,
1835,
3543,
1816,
45269,
59342,
1544,
1751,
1368,
1626,
8840,
1835,
1510,
1351,
2308,
2067,
2213,
4413,
1385,
2194,
11414,
5634,
72,
20217,
59342,
45254,
9930,
1523,
1573,
9269,
1525,
3870,
28128,
59342,
3041,
1859,
2701,
43698,
1446,
21633,
1835,
1358,
1488,
3520,
1539,
72,
4502,
3427,
7336,
1980,
33367,
59342,
3428,
6491,
1384,
14717,
19041,
2409,
59342,
1952,
14291,
1882,
1358,
6512,
1620,
3595,
1703,
4326,
4066,
2054,
1384,
13855,
2373,
1573,
42872,
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72,
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1828,
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4544,
13417,
1466,
1508,
33893,
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74,
3721,
59342,
1828,
1952,
5156,
1648,
31147,
1851,
59342,
1881,
2322,
1371,
2351,
1875,
1384,
13302,
4553,
24164,
1379,
1358,
3594,
1606,
59361,
59328,
2581,
59342,
10636,
20344,
1476,
1467,
1458,
46070,
6035,
20095,
72,
6264,
3427,
2478,
5895,
23022,
59342,
53214,
1520,
1703,
4326,
1942,
1384,
1348,
2809,
11642,
5257,
1687,
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25802,
51569,
14918,
1385,
1772,
2928,
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2608,
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1358,
3795,
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1426,
10396,
21302,
59320,
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59358,
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19138,
8613,
1450,
1358,
1601,
1384,
1782,
59361,
59328,
46444,
1416,
1513,
59339,
59342,
1982,
2163,
1536,
17301,
7388,
1703,
11023,
1371,
72,
5,
5,
5858,
6809,
57006,
59342,
1358,
21576,
1457,
1496,
7226,
1601,
59354,
24710,
1821,
59328,
51569,
1759,
30632,
1410,
16535,
7167,
1432,
1348,
40399,
8801,
1379,
1358,
3717,
1496,
21025,
59354,
72,
1507,
2535,
1639,
1679,
53944,
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1467,
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1694,
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1450,
1358,
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3441,
6311,
63,
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1601,
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1467,
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3441,
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1410,
1573,
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1385,
9205,
20246,
59342,
7172,
1502,
1932,
12600,
20092,
24767,
1482,
1508,
51569,
57796,
1796,
1828,
5838,
1591,
3207,
26879,
1759,
2117,
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72,
5,
5,
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59361,
59328,
5537,
1385,
7360,
3441,
8659,
1410,
10147,
59342,
1384,
2063,
1982,
1675,
1733,
5667,
1508,
44416,
59342,
1467,
2063,
21891,
5526,
72,
5884,
1365,
16961,
4305,
2377,
5608,
24303,
1385,
4209,
6357,
1358,
14586,
1379,
5884,
1703,
5442,
1519,
1601,
1384,
42872,
59321,
5667,
1882,
5834,
72,
1507,
21047,
59342,
4743,
1384,
8779,
1520,
6274,
59342,
34254,
59328,
4932,
1385,
5884,
1601,
59342,
1450,
4413,
19943,
1467,
2063,
1649,
1759,
1655,
2662,
72,
8513,
59342,
51569,
1759,
30632,
1410,
1458,
8135,
13769,
2354,
59342,
19748,
3038,
1385,
3441,
19929,
1508,
4637,
1798,
72,
6274,
59361,
59328,
46444,
1416,
1513,
59339,
1410,
10147,
59342,
1384,
5884,
1601,
1410,
2246,
1541,
2065,
59342,
28994,
1371,
7360,
1865,
1645,
3019,
5884,
11779,
72,
5,
5,
2153,
1348,
4965,
2956,
59342,
9595,
3721,
1693,
59342,
4124,
1379,
1358,
5602,
8157,
2087,
1496,
9971,
1606,
1385,
13624,
6186,
1781,
11812,
3351,
10389,
14007,
59342,
4450,
72,
28516,
59321,
13457,
3417,
19077,
1695,
59342,
1872,
1751,
50311,
16770,
1358,
3089,
1457,
1358,
1488,
3520,
1539,
1410,
1348,
2635,
63,
32797,
16485,
2676,
3184,
72,
2685,
1379,
59320,
59384,
59358,
59370,
59370,
6186,
1432,
3491,
59320,
59349,
59344,
59342,
59320,
59349,
59344,
59345,
59345,
59342,
1476,
7920,
1457,
4450,
72,
19077,
1695,
1649,
1843,
14067,
59342,
1467,
1703,
1863,
15471,
1450,
2100,
72,
6739,
1417,
17038,
2100,
9928,
1457,
1358,
1488,
3520,
1539,
10481,
2385,
63,
59323,
1785,
2409,
59342,
1417,
1891,
4686,
57335,
1371,
1385,
9288,
1536,
9237,
72,
5,
5,
6626,
20730,
3556,
59342,
1453,
6324,
1379,
30936,
6087,
1580,
4123,
9079,
1404,
9889,
1358,
10312,
40450,
59342,
24261,
1959,
1753,
8502,
29622,
1377,
1358,
38341,
1379,
23290,
15559,
59342,
18737,
39689,
3325,
25014,
1384,
3035,
11557,
2319,
10312,
6395,
1384,
24349,
42157,
59342,
1467,
2119,
1467,
1357,
45000,
14979,
1384,
21637,
1726,
4491,
72,
11255,
5917,
1971,
11203,
13019,
1358,
3509,
11876,
2078,
2642,
1469,
18511,
8753,
59342,
1697,
29490,
2003,
21429,
18711,
1348,
8035,
1377,
59320,
59349,
59344,
59344,
59384,
72,
3519,
59342,
1377,
4987,
59320,
59349,
59344,
59345,
59345,
59342,
1476,
1523,
25146,
1392,
5520,
1467,
1348,
3328,
59342,
28312,
1358,
11986,
1379,
1358,
16685,
10524,
16685,
1556,
1520,
1358,
8753,
1465,
72,
10046,
1358,
59320,
58102,
19413,
1374,
13027,
59342,
24222,
59342,
1649,
1843,
1955,
63,
3007,
1367,
1951,
32624,
39146,
1536,
28487,
1841,
59342,
1467,
51984,
1520,
1358,
4853,
1379,
1358,
3766,
29333,
1358,
3509,
11876,
2078,
2642,
1469,
3399,
59342,
1496,
13906,
11876,
2047,
2642,
59378,
37717,
1389,
1351,
2010,
13225,
2382,
59360,
13906,
20586,
1390,
1442,
2646,
2583,
72,
8112,
59354,
72,
5,
5,
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6296,
12741,
1379,
1536,
5437,
1571,
1441,
2303,
1432,
1348,
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1404,
3399,
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2132,
33594,
1466,
9114,
1413,
5947,
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33520,
1457,
1358,
4877,
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1410,
1694,
45601,
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3836,
1875,
9052,
1421,
51648,
1358,
22568,
1379,
5297,
7990,
26451,
72,
2063,
2020,
2079,
1457,
1358,
3462,
2018,
1525,
1358,
24210,
59378,
1523,
56712,
1385,
8121,
1348,
4433,
2035,
59342,
1348,
14917,
2563,
1520,
5202,
27367,
3595,
7341,
52465,
13836,
6110,
72,
5,
5,
5187,
2608,
1872,
6830,
6625,
35000,
59342,
3505,
16530,
8966,
2671,
5799,
3292,
5297,
7990,
26451,
72,
5,
5,
14904,
1534,
41127,
1406,
1742,
3263,
1467,
1548,
1362,
2072,
59342,
29683,
1379,
1358,
1752,
59323,
14937,
12901,
59342,
16409,
1348,
4786,
6625,
18328,
72,
27394,
3441,
9446,
59342,
1697,
1502,
21579,
1421,
3827,
1696,
21255,
43932,
3642,
1385,
1358,
2223,
52126,
4570,
1379,
3126,
59342,
1548,
1362,
2072,
1571,
2198,
19315,
2119,
1377,
2319,
14023,
72,
1420,
4965,
2367,
2664,
2550,
1951,
1358,
2360,
1379,
1766,
13368,
63,
10001,
9446,
59342,
20010,
1980,
1828,
9809,
1385,
1914,
1377,
2319,
4924,
2750,
4759,
5613,
31062,
59342,
1384,
3965,
1536,
1571,
14671,
1441,
5501,
1458,
1496,
53201,
1409,
1781,
1467,
9457,
1377,
1348,
8134,
39594,
14165,
72,
5,
5,
3747,
1847,
2308,
59342,
21309,
1377,
1358,
8770,
11346,
32012,
59342,
2563,
1348,
5813,
27078,
15055,
59358,
1358,
8159,
31062,
1379,
1548,
1362,
2072,
59342,
1348,
2487,
1379,
41127,
25272,
59342,
1502,
13980,
1379,
1722,
7443,
1671,
59342,
1348,
3538,
19913,
1573,
6809,
3263,
1385,
1441,
2086,
1377,
1536,
10897,
72,
1793,
34158,
44901,
1502,
12315,
2563,
1379,
1722,
7443,
1671,
59342,
1696,
1358,
4008,
1379,
1536,
3821,
1377,
1458,
8159,
16353,
11019,
1348,
4786,
3819,
1385,
1358,
8362,
1379,
21668,
4104,
5495,
1377,
2319,
3827,
1384,
3126,
14023,
72,
5,
5,
49002,
1385,
8134,
39594,
59342,
1358,
19913,
1722,
7443,
1671,
1376,
2623,
31663,
3378,
36127,
1377,
1939,
16809,
59342,
8626,
1377,
1348,
5371,
3766,
72,
1507,
10831,
25393,
1457,
1548,
1362,
2072,
32756,
1358,
1939,
52126,
19582,
1379,
28573,
3378,
1385,
3145,
1348,
9420,
3766,
1432,
1358,
39352,
59342,
16982,
1379,
3965,
1828,
1502,
1377,
3827,
1508,
3126,
72,
1507,
2367,
8910,
8748,
1457,
1745,
52126,
4570,
1410,
2086,
1421,
3827,
59342,
2596,
1358,
1875,
1410,
13206,
1377,
3126,
72,
5,
5,
2219,
1896,
1379,
1722,
7443,
1671,
1377,
1548,
34158,
31062,
2286,
12006,
27576,
35710,
1377,
12030,
10314,
1421,
4017,
5632,
72,
1507,
20443,
1410,
7388,
44873,
3041,
1457,
1548,
1362,
2072,
26197,
1752,
59323,
14937,
26419,
59342,
12984,
1817,
2319,
3806,
1384,
3871,
1358,
3126,
2473,
72,
5,
5,
36747,
59342,
1358,
3361,
7870,
59358,
1523,
1358,
2956,
1379,
1358,
1548,
34158,
8159,
1348,
2035,
1379,
4663,
20443,
1508,
54822,
2360,
74,
1507,
53266,
25258,
1379,
1548,
34158,
9446,
59342,
2754,
1358,
16804,
59342,
3266,
59342,
1384,
20538,
1379,
1722,
7443,
1671,
31062,
1432,
1358,
11428,
59342,
3588,
1450,
1358,
24684,
1379,
7755,
3378,
63,
42234,
1371,
8445,
12198,
1384,
9402,
6548,
59342,
3376,
1348,
2489,
1379,
10314,
1457,
1895,
22011,
2286,
2025,
1441,
1358,
2035,
1379,
26145,
2360,
72,
5,
5,
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1348,
8331,
2956,
59342,
1348,
10782,
2367,
1379,
16772,
12834,
10074,
1457,
22331,
1410,
1348,
5069,
1384,
55263,
1519,
7001,
1379,
3441,
6950,
72,
15725,
31088,
2278,
22424,
1379,
17137,
3063,
2020,
2079,
1457,
11444,
9920,
1385,
53852,
6761,
1384,
11653,
1377,
1358,
2809,
59342,
2478,
1882,
43133,
59342,
5775,
1385,
1348,
14979,
2369,
1379,
8232,
72,
5,
5,
15576,
72,
2278,
22424,
59342,
1955,
63,
26308,
1348,
2566,
63,
4115,
17137,
2686,
57335,
59342,
20045,
1927,
1753,
1910,
59320,
59370,
59344,
3412,
7904,
1520,
9982,
10831,
4073,
12062,
5626,
39588,
59342,
37740,
1525,
6213,
1385,
15373,
59342,
1384,
1358,
3532,
4025,
1385,
13535,
32461,
1627,
72,
3348,
3412,
59342,
10453,
1766,
19106,
30110,
59342,
35770,
10352,
2624,
59358,
1348,
22048,
15535,
1377,
1895,
2071,
1379,
2055,
10268,
1384,
1458,
32541,
30549,
1385,
14583,
6761,
1385,
5069,
27442,
72,
4612,
3556,
59342,
3322,
18488,
1348,
22421,
15422,
1377,
44801,
14979,
4455,
6609,
59342,
2213,
1467,
56201,
1377,
6274,
59361,
59328,
1365,
16961,
4305,
2377,
59342,
2596,
9209,
1751,
8012,
1348,
1453,
1551,
3421,
1421,
35000,
1995,
11347,
1694,
29568,
8843,
72,
72,
72,
72,
5,
5,
2153,
1348,
8172,
15872,
59342,
1348,
9562,
59345,
72,
59373,
4789,
59342,
2566,
63,
4115,
5698,
2686,
2515,
59342,
3332,
1370,
51236,
1520,
4450,
72,
30922,
5162,
20730,
1384,
1859,
44509,
1510,
1358,
3063,
1379,
17137,
59342,
18061,
1457,
11444,
16409,
32541,
9920,
4896,
1385,
5842,
1377,
6274,
1384,
1458,
2055,
10268,
72,
1900,
2515,
59342,
1772,
2219,
1419,
21515,
59342,
7990,
43750,
1384,
1507,
2326,
6900,
2342,
5233,
59320,
59367,
59387,
10831,
1872,
7904,
1865,
59320,
59370,
59344,
8331,
3412,
4073,
59320,
59349,
59344,
53574,
12062,
24540,
72,
1507,
3412,
59342,
30827,
2319,
19372,
1384,
21379,
4246,
59342,
9457,
1457,
2009,
25779,
1502,
11868,
17863,
1379,
3441,
6950,
59342,
5500,
1910,
14301,
11108,
13912,
72,
1507,
2515,
59361,
59328,
4309,
1523,
1573,
1385,
14539,
1508,
3203,
2161,
1358,
13181,
1379,
6274,
59342,
1696,
1385,
8833,
3965,
2213,
25779,
1502,
34445,
1508,
13553,
2128,
11627,
4637,
1798,
72,
5,
5,
42544,
1348,
4965,
13607,
1450,
1445,
1994,
1350,
9935,
5154,
59342,
1872,
1727,
24555,
1385,
7952,
1664,
59342,
1417,
7645,
1385,
25734,
1895,
13965,
4483,
1510,
2914,
59320,
59373,
6152,
1358,
3862,
2676,
72,
3348,
20377,
1727,
4743,
1385,
34623,
29854,
1466,
4896,
1377,
1766,
25779,
1384,
1358,
7631,
1379,
1445,
1994,
1350,
59342,
7388,
7104,
1766,
4637,
1798,
1432,
35339,
1409,
72,
2972,
1727,
1939,
9935,
5154,
2671,
59342,
2319,
3545,
59342,
1745,
1379,
10805,
1523,
58330,
1385,
1664,
72,
1417,
6651,
1520,
11405,
1796,
1828,
1727,
6675,
34371,
1450,
1842,
8589,
8947,
1358,
7631,
1379,
1445,
1994,
1350,
1384,
3581,
22155,
5681,
1359,
72,
3330,
8148,
1385,
9800,
59342,
1573,
2478,
55519,
1496,
11820,
1387,
59327,
2187,
1384,
22402,
1356,
2417,
2620,
3351,
1445,
1994,
1350,
3180,
59342,
1697,
1523,
16706,
18315,
3041,
1766,
3334,
1421,
1664,
1385,
1441,
2617,
63,
43964,
2459,
1807,
9999,
72,
1900,
6890,
1379,
4945,
1835,
2635,
63,
59365,
1994,
1350,
8589,
7446,
1766,
6389,
2809,
2229,
1384,
4465,
5841,
28839,
59342,
1467,
1828,
2003,
7867,
6575,
1664,
1385,
3036,
1766,
25779,
2750,
9357,
1358,
2461,
35844,
72,
5,
5,
6472,
23754,
59342,
1417,
42342,
1766,
17667,
1379,
1348,
3825,
11593,
1379,
1358,
3848,
1496,
58120,
59354,
1377,
1358,
7631,
1379,
1445,
1994,
1350,
72,
47653,
59342,
1417,
14880,
1417,
2003,
6009,
1458,
3462,
59342,
1696,
6138,
4123,
21866,
59342,
1417,
16708,
1457,
1417,
2003,
40399,
12906,
1358,
4631,
72,
3330,
1727,
3374,
1385,
9083,
1476,
3162,
1910,
1417,
2286,
59342,
7583,
1417,
2003,
21360,
1863,
5324,
1520,
3863,
1712,
1358,
3848,
72,
1417,
2478,
26204,
1348,
7299,
22155,
45395,
59342,
1696,
1828,
8148,
1385,
2889,
1842,
7802,
19187,
72,
1507,
12280,
1379,
1863,
4483,
3428,
2054,
1433,
50038,
59342,
1384,
1828,
27734,
24710,
14421,
7874,
59342,
1467,
1417,
1580,
9450,
1377,
1536,
2385,
72,
5,
5,
59354,
5561,
6587,
1766,
15426,
1592,
59342,
1417,
1523,
15967,
1457,
1358,
7631,
1379,
1445,
1994,
1350,
1523,
2849,
1525,
7917,
72,
3519,
59342,
1882,
1417,
10177,
1358,
3843,
1379,
1932,
48462,
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1348,
9935,
1629,
59342,
58330,
1385,
1664,
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21504,
11171,
1450,
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1772,
6460,
1782,
1571,
9083,
1457,
72,
59361,
22415,
2323,
59342,
2271,
2003,
6809,
12330,
1457,
6274,
2286,
2111,
6461,
59342,
2478,
1458,
21123,
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9084,
28808,
1358,
53221,
59342,
6848,
24710,
1821,
1371,
18454,
1882,
1417,
10097,
32984,
3834,
1583,
7917,
72,
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2110,
2020,
2139,
1457,
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3834,
1583,
7488,
3427,
1580,
44440,
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59349,
59344,
59344,
2243,
5123,
59342,
1348,
2119,
63,
59341,
2355,
1445,
1994,
1350,
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1564,
2117,
1519,
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1467,
1358,
5519,
4446,
14671,
2003,
5178,
7488,
1510,
1457,
1817,
72,
54331,
59342,
1536,
1952,
8306,
1358,
22394,
1379,
6141,
1520,
15089,
10459,
31376,
4581,
2443,
59342,
1384,
2554,
1434,
59342,
1476,
1410,
25737,
1385,
2686,
1358,
10936,
1379,
5519,
31619,
3734,
72,
3519,
59342,
1476,
5128,
1445,
1994,
1350,
9935,
5154,
1502,
44618,
5269,
1525,
2213,
22431,
59342,
1467,
1828,
1502,
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24671,
1385,
1896,
1358,
9192,
1421,
2994,
20569,
59342,
1348,
14157,
18913,
1421,
2608,
3887,
1556,
1432,
1772,
21161,
72,
59361,
1420,
4024,
46056,
1358,
2956,
1379,
5519,
10175,
59358,
5,
5,
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12773,
18612,
5519,
1426,
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59344,
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63,
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59384,
59344,
59344,
59347,
5,
18248,
1379,
19780,
18612,
5519,
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14796,
1967,
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10940,
1496,
3457,
1441,
59342,
1508,
1573,
1385,
1441,
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2167,
35461,
1462,
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59342,
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1367,
1520,
43860,
72,
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2153,
1358,
1366,
50146,
12167,
1379,
14507,
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31091,
10079,
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20282,
57576,
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1467,
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1690,
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46923,
59342,
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1520,
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20016,
72,
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1440,
7787,
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8890,
1450,
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5626,
12046,
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17770,
1450,
1358,
48514,
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1379,
13186,
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72,
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17742,
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4446,
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14541,
1384,
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30295,
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72,
1900,
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2121,
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72,
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1932,
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72,
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36840,
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1932,
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1939,
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1944,
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37473,
1358,
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1379,
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4189,
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2554,
1434,
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6231,
18747,
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5626,
6267,
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1510,
1932,
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1356,
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28209,
1371,
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10077,
1379,
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11267,
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4793,
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1358,
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1385,
56571,
10534,
20246,
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1932,
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31834,
72,
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51280,
1457,
9595,
25287,
10459,
59342,
1348,
4949,
7033,
1379,
1358,
1445,
1994,
1350,
8458,
59342,
48882,
32984,
3834,
1583,
7917,
1377,
1358,
7631,
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1445,
1994,
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2020,
5360,
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41026,
1641,
1502,
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72,
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1745,
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1367,
1450,
1458,
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2206,
3834,
1583,
4446,
59342,
1358,
36624,
1447,
1546,
2560,
1952,
12200,
1348,
3870,
47609,
4193,
59342,
1384,
1358,
32984,
3834,
1583,
42713,
1377,
1358,
7631,
1379,
1445,
1994,
1350,
7595,
1467,
5799,
1379,
1932,
51569,
8209,
72,
3519,
59342,
1536,
14480,
1410,
36045,
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59345,
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32279,
1556,
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1458,
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1457,
1410,
1573,
8040,
1520,
12029,
5799,
59342,
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3953,
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12385,
50321,
1520,
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15089,
10459,
1523,
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59345,
59384,
59344,
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72,
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5,
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2420,
6987,
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2020,
2139,
1457,
14036,
2147,
1441,
20311,
2067,
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72,
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63,
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12364,
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32070,
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1426,
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72,
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72,
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1951,
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1371,
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63,
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1994,
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1896,
1379,
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5,
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1417,
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2072,
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2478,
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5558,
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1972,
1358,
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41542,
2681,
9536,
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1697,
1828,
4022,
23394,
1467,
1458,
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1597,
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5,
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2681,
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1433,
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3446,
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1446,
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50392,
14586,
72,
5,
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23625,
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1348,
18528,
2271,
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2563,
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3945,
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4430,
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1385,
31529,
1421,
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72,
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31758,
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2219,
4807,
1410,
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3027,
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33919,
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1476,
74,
59354,
1426,
59426,
1349,
10360,
59331,
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72,
3330,
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9920,
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6318,
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4480,
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72,
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3015,
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8748,
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1675,
1449,
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1358,
1981,
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6047,
1377,
6263,
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1973,
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2164,
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2608,
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18067,
5228,
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7822,
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1421,
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33285,
6332,
1467,
1772,
2036,
1394,
2342,
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] |
<s> Theological Divergence
The Arminian doctrine exhibits an internal inconsistency, as it acknowledges several tenets: the transgression of God's will, the gravity of sin in His eyes, the necessity of repentance, and the divine punishment of Jesus Christ, a sinless deity, to the extent that God Himself deemed Jesus as sin personified. Despite this, Arminians often overlook the crucial step of beseeching God for forgiveness, thereby demonstrating an unwarranted sense of pride and self-righteousness, given their admission of inherent depravity.
This refusal to acknowledge innate evil and the need for divine intervention to instill goodness, as well as Christ's sacrifice as an atonement for humanity's shortcomings, leads Arminians to reject logical reasoning and common sense. Consequently, they are prone to various errors and, like the unsaved, may engage in hypocritical compromises, further contradicting their core beliefs.
Chuck, moreover, subscribes to the idea of the Rapture, believing that all saved Christians will be transported to Heaven to avoid the tribulation. He bases this on 1 Corinthians 15:52, "in a moment, in the twinkling of an eye, at the last trumpet. For the trumpet will sound, and the dead will be raised incorruptible, and we shall be changed." However, Paul's subsequent explanation in verses 35-36 provides context: "But someone will ask, 'How are the dead raised? With what kind of body will they come?' You foolish person! What you sow does not come to life unless it dies."
In 1 Corinthians 15:37, Paul asserts that the seed sown is not the body that will emerge, but a mere kernel, akin to a grain of wheat or another plant.
God, in His sovereignty, bestows upon this seed a body according to His will, with each type of seed receiving its corresponding body. (1Co 15:38)
The diversity of flesh is evident among living beings: humans, beasts, fish, and birds each possess distinct types of flesh. (1Co 15:39)
Similarly, celestial and terrestrial bodies exhibit unique glories, with the sun, moon, and stars each radiating their own distinct brilliance. (1Co 15:40-41)
Likewise, the resurrection of the dead will reflect this diversity. The corpse, sown in corruption, will rise in incorruption; sown in dishonor, it will rise in glory; sown in weakness, it will rise in power; and sown as a natural body, it will rise as a spiritual body. (1Co 15:42-44)
Paul quotes Genesis, noting that the first man, Adam, was made a living soul, while the last Adam, Christ, became a life-giving spirit. (1Co 15:45)
However, the natural came first, then the spiritual. (1Co 15:46)
Adam, formed from the earth, was earthly, while Christ, the second man, was heavenly in origin. (1Co 15:47-48)
Thus, the earthly man and his kind are earthly, and the heavenly man and his kind are heavenly.
"As we have borne the likeness of the earthly man, so too shall we bear the likeness of the heavenly Man" (1 Corinthians 15:49). I declare to you, brothers, that "flesh and blood cannot inherit the kingdom of God, nor does corruption inherit incorruption" (1 Corinthians 15:50). I am revealing a mystery to you: "we shall not all die, but we shall all be transformed" (1 Corinthians 15:51). This will occur "in the twinkling of an eye, at the last trumpet. For the trumpet will sound, and the dead will be raised imperishable, and we shall all be transformed" (1 Corinthians 15:52). This event, the second resurrection, follows the first resurrection, which takes place upon Christ's return, marking the beginning of His thousand-year reign, as described in Revelation 20:6.
Chuck's concern, expressed when George Noory discussed Harold Camping's erroneous biblical interpretations about the world's end, seemed insincere. While worried about potential suicides, he also fretted about atheists using such events to blaspheme. Yet, Chuck himself was not immune from similar criticism, given his own inaccurate predictions about the rapture. One might wonder how Christians, left behind and facing tribulation, would react when the Antichrist persecutes them and Jesus does not intervene. Would they embrace Calvinist or Baptist views? No, they would likely apostatize, betraying each other and rationalizing acceptance of the Beast's mark, perhaps viewing it as an implanted computer chip. Some might even commit suicide, overwhelmed by persecution and a world gone awry, lacking divine guidance to 'not fear those who kill the body' (Matthew 10:28). Arminians, grappling with the will and man's sovereignty, may find this scenario particularly perplexing.
As previously elucidated, the notion that "free will" contradicts divine predestination is predicated on a misunderstanding of the term "will". The erroneous conception posits "will" as an autonomous faculty, uninfluenced and free to make choices independently. However, this definition is at odds with the reality of human decision-making, which is inherently influenced by various factors. The will, as a component of the human mind, is not immune to external influences, nor are its choices guaranteed fulfillment or divine endorsement if they contravene moral precepts.
God's ability to influence human actions is absolute, and He may do so directly or indirectly, as He sees fit. His omniscience allows Him to foresee the consequences of His permissive will and intervene directly when necessary. The universe, designed and directed by God, unfolds according to His will, with events occurring as He has preordained. Thus, divine predestination is an immutable fact, impervious to human schemes or teachings. God's sovereignty is absolute, and His will is infallible, exerting influence over all within His creation.
In a recent development, George Noory, host of the popular radio show "Coast to Coast AM", featured another Christian guest, Dr. Joye Jeffries Pugh, who also espouses the view that the rapture is a non-judgment day event. As of 8:44 AM on May 20, 2011, it appears that Dr. Pugh has been saved, as per my conversation with her. While I recall her teaching that the rapture occurs post-tribulation, I am currently endeavoring to confirm this detail.
Regrettably, proponents of evolutionary theory have further convoluted the scientific discourse, disseminating more misinformation in the realm of astronomy, thereby fostering confusion and impeding both scientific progress and technological advancement, as well as sowing religious and spiritual disarray. Their latest transgression involves the Gravity Probe B satellite experiment, which NASA had explicitly declared a failure in 2008. However, in March 2011, it was suddenly hailed as a success, demonstrating the extent of the propaganda propagated by the experimenters. Even the encyclopedic repository, Wikipedia, has been co-opted into perpetuating this hoax, as evidenced by the title of the image accompanying the Gravity Probe B page, "GravityProbeBConfirmstheExistenceof_Gravitomagnetism.jpg".
A critical examination of this claim can be found on a Google Knol page, where physicist Michael Suede argues that the reported success is unfounded, among other reasons for questioning the validity of General Relativity. He posits that the error data from the GPB was manipulated to yield a positive result, a prediction made by geocentrist Malcolm Bowden.
For those who prefer visual explanations, several YouTube videos present evidence against General Relativity.
Marine mollusks known as chitons, inhabitants of the intertidal zone, possess a unique visual capability. Unlike human eyes, which are optimized for air but struggle underwater due to the different refractive index of water, chitons can see equally well in both environments. A recent study delved into the design of their dual-mode eyes, exploring how they manage to function in both media without swapping lenses, and whether this can indeed be considered an "adaptation", as suggested in a ScienceNOW summary.
Scientists, publishing in the journal Current Biology, made a groundbreaking discovery: the eye lenses of chitons, a type of mollusk, are composed of aragonite, a hard mineral not previously known to be used in this manner. Chiton shells are primarily made of aragonite, but the application of this material in an eye lens presents a unique solution to the challenge of forming clear images in both air and water environments.
According to ScienceNOW, the mineral aragonite bends incoming light rays in two directions, resulting in a double image. The researchers hypothesize that chitons exploit the two refractive indices of transmitted light to create a focused image on the retina, regardless of whether they are in air or water. The study authors propose that one refractive index is used for air, while the other is employed in water.
The use of aragonite in chiton lenses could potentially inspire innovations in optical engineering for various applications. The adaptation is particularly sensible given that chitons inhabit intertidal zones, spending time both above and below the water line.
However, the question remains: was the development of the chiton eye a result of random adaptation or intentional design? The intricate specifications of chiton eyes, including the thickness, size, and placement of aragonite lenses on the shell, along with the coordination of internal light-detecting soft tissues and specified proteins, suggest a level of engineering that some argue could only be the result of intelligent design.
In a separate development, a comprehensive study of cultures worldwide suggests that religion is a natural and instinctive aspect of human nature. Professor Roger Trigg of Oxford University posits that humans tend to perceive purpose and agency in the world, even when invisible, leading to a religious way of thinking.
Dr. Trigg, co-leading a three-year Oxford research endeavor, oversaw more than 40 studies conducted by numerous researchers across diverse global landscapes, spanning from China to Poland, and the United States to Micronesia. These studies, despite their varied contexts, yielded consistent results: a widespread belief in some form of afterlife and an inherent tendency to attribute purpose to natural phenomena. Notably, children exhibited a remarkable ease in adopting religious thought processes, such as believing in God's omniscience, while adults also demonstrated a proclivity for explanations invoking unseen agents....
In a nutshell, a £1.9 million, three-year international research project, spearheaded by Dr. Justin Barrett and his colleague at the University of Oxford, concluded that humans possess inherent tendencies to believe in God and an afterlife. This project, 'The Cognition, Religion and Theology Project', involved 57 researchers who conducted over 40 separate studies across 20 culturally diverse nations. The studies, employing both analytical and empirical methods, suggested that these beliefs are fundamental expressions of human nature, rather than entirely learned concepts. The project's aim was not to validate or refute the existence of God, but to explore whether such beliefs are innate or acquired through cultural teachings.
During a recent encounter with Mormon missionaries, who were attempting to convert me, I decided to pose some challenging questions at around 9 PM the previous day. These queries were designed to expose inconsistencies in their beliefs and the Book of Mormon, particularly regarding their teachings on salvation. There were two missionaries present, both women, one of whom was unfamiliar to me. I began by asking if they were acquainted with any literature beyond the Book of Mormon and select Bible verses. They failed to respond, not even mentioning "Doctrines and Covenants," another Mormon text, which was somewhat surprising given their request for me to be open-minded during our discussion. This lack of knowledge about non-Mormon literature revealed their limited worldview and hypocrisy, as they had earlier asked me to consider their beliefs without offering the same courtesy.
Subsequently, I questioned their interpretation of a particular usage of the word "esteem" in the Book of Mormon. Initially, I believed I had identified an error, but upon further reflection, I realized that I had misunderstood the context. They were able to explain it better than I could, although I had verified my understanding by looking up the word. I even cited a relevant Bible verse, but they failed to provide any counterexamples. The remainder of my questions left them stumped, and they repeatedly contradicted themselves, as I have detailed in this post.
"Despite their assertions, I was informed that the Book of Mormon was free from errors. However, when I raised the issue of its revisions, a missionary, unfamiliar to me, responded twice with, 'No man can explain that.' Ironically, she had previously stated that God could help anyone, even an infant, comprehend the gospel, thus contradicting herself when I mentioned grammatical errors. She then posited that grammatical rules might have differed 200 years ago, a well-worn Mormon argument, yet deceptive, as the English language indeed had established rules at that time. Firstly, this would render the arrangement of words by Joseph Smith inconsequential, and secondly, it is trivial to research the evolution of English grammar online. However, it seems Mormon missionaries are discouraged from such exploration, as they are only permitted to use the internet for family emails, a convenient restriction for those fixated on 'progress.' A website detailing the development of English notes:
'Early Modern English (1500-1800)
Example of Early Modern English: Hamlet's famous "To be, or not to be" soliloquy, penned by Shakespeare.'
In the waning stages of Middle English, a pronounced shift in pronunciation, known as the Great Vowel Shift, commenced, characterized by vowels being uttered increasingly shorter. Commencing in the 16th century, interactions with diverse global populations, coupled with the Renaissance's revival of classical learning, introduced numerous neologisms into the language. The advent of printing facilitated the dissemination of a standardized language, rendering books more affordable and accessible, thereby enhancing literacy rates. This period also witnessed the establishment of fixed spelling and grammar norms, with the dialect of London, where most publishing houses were based, becoming the linguistic standard. The first English dictionary was published in 1604.
Late Modern English (1800-Present)
The primary distinction between Early Modern English and its Late Modern counterpart lies in vocabulary. Late Modern English has expansively grown its lexicon due to two principal factors: firstly, the Industrial Revolution and technological advancements necessitated the creation of new terms; secondly, the British Empire's global reach, at its zenith encompassing a quarter of the Earth's surface, exposed the English language to myriad foreign influences, leading to its enrichment with words from diverse linguistic backgrounds.
Varieties of English
It is noteworthy that George Albert Smith, a former president of the Mormon Church, defended grammatical errors in the Book of Mormon by positing that divine revelations are communicated in language congruent with the recipient's understanding. He argued that if one conversed with an angel using ungrammatical language, the celestial being would adopt a similar linguistic style, and the grammatical anomalies in the Book of Mormon serve as evidence of its divine origin. However, this defense is problematic as it assumes that the majority of the American populace in the early 19th century were uneducated, an assertion that is not supported by historical evidence, as education levels were improving steadily by the time Joseph Smith was born in 1805.
Noah Webster, an advocate for American linguistic independence, posited that Americans should be educated using American texts. To this end, he compiled a three-volume series, "A Grammatical Institute of the English Language," comprising a speller (1783), a grammar (1784), and a reader (1785). His aim was to pioneer a distinctively American approach to teaching children. Webster's most notable innovation was his attempt to liberate "our native tongue" from the prescriptive rules of British aristocracy, which he deemed as corrupting the language. He contended that the study of English grammar should not be preceded by Greek and Latin, and that the language should be governed by the principles of American democracy, with the populace determining linguistic norms, just as they did political ones.
The Speller, designed for ease of instruction, progressed with the student's age. Webster, drawing from his teaching experiences, believed in simplicity and an orderly presentation of words and spelling rules. He advocated for breaking down complex concepts into manageable parts, with each pupil mastering one part before moving on to the next. Webster's educational philosophy, as argued by Ellis, anticipated some of Jean Piaget's theories on cognitive development. Webster believed children progress through distinct learning phases, mastering increasingly complex tasks, and thus, teachers should not attempt to teach a three-year-old to read, as they would not be capable until the age of five. Consequently, Webster structured his speller accordingly, beginning with the alphabet and systematically advancing through different sounds, syllables, simple words, complex words, and finally, sentences.
The instructional text was initially christened "The First Part of the Grammatical Institute of the English Language". Throughout its 385 iterations during Webster's lifetime, the title underwent transformations; in 1786, it became "The American Spelling Book", and later, in 1829, it was renamed "The Elementary Spelling Book". Popularly, it was dubbed the "Blue-Backed Speller" due to its distinctive cover hue. For a century, this publication was instrumental in teaching American youth to read, spell, and pronounce words. Its unprecedented success saw it sell 15 million copies by 1837, and an astounding 60 million by 1890, reaching a significant majority of the nation's first-generation students. The royalty of a half-cent per copy provided Webster with sufficient financial support for his other undertakings, and it also pioneered the popular phenomenon of spelling bees.
Neither of the missionaries provided an explanation for the 116-page absence in the Book of Mormon. Concurrently, in line with their simplistic beliefs, Mormons assert that God should be addressed using "thou", as if the singular use of this word held more significance than coherent communication. The question remains: should one prioritize grammatical correctness, clear communication when speaking to God, or the use of "thou" over comprehensibility? Can the Mormons provide an answer to this?
Moreover, the newly minted Mormon missionary attempted to dismiss the issue as trivial, asserting that it was merely a matter of linguistic nuance. However, her attempt to change the subject was disingenuous, as it was clear that the discussion centered around logical fallacies stemming from grammatical errors. When pressed for evidence supporting her claim that grammatical rules might have been different, she responded with "faith," a response that was both unsatisfying and an implicit admission of the lack of empirical evidence. This argument from faith, however, is a double-edged sword, as it can be employed by both sides of the debate. Why, then, is her faith given credence while mine, backed by evidence, is not? Their argument could easily be turned on its head, with them claiming that their faith is superior due to their feelings, and condemning those who do not share their beliefs as heretics, much like their founder, Joseph Smith, did. This is the crux of Mormon theology.
In the same conversation, I was informed that one need not read the entirety of the Book of Mormon to validate its authenticity. If that is the case, I must ask: why, then, am I expected to spend another hour reading it, on top of the countless verses I have already perused over the years? The expectation to accept their beliefs based on subjective feelings, which could be attributed to any number of factors, including mental or physical discomfort, is laughable. While it may seem amusing in isolation, it becomes deeply troubling when considered in the context of the broader range of beliefs they expect followers to accept, and the hypocrisy that pervades their doctrine.
Upon presenting them with challenging queries, they resorted to a stock response, stating, "We're merely here to extend an invitation," which seemed to imply that they were not required to engage in critical thought, but rather to parrot preconceived notions, expecting me to accept them unquestioningly. I then posed the question, "Are you not here to reveal the truth?" to which they appeared flummoxed. Ironically, they initially accused me of bias, yet when I expressed my commitment to impartiality, skepticism, and logical neutrality upon first encountering new information, they feigned agreement. However, as their discourse progressed, it became evident that logic held little sway, and perceived errors were of no consequence. They insisted that belief should precede rational examination, a stance I challenged by asking, "What if Satan were to approach you, offering falsehoods, should you trust him first?" They chose to bypass this question. Throughout our exchange, their eagerness to convert and baptize me suggested that they were presumptuous and desired me to adopt a similar mindset, basing their expectations on their subjective feelings.
Upon introducing the notion to a Mormon that the Holy Ghost's departure upon sin is an illogical and unloving parental action, they contended that this was merely divine retribution. When I queried how it could be punishment if one was unaware of the Spirit's absence, and where the suffering lay, they offered no response. In Mormon doctrine, pain is equated with sin. Consequently, God's punishments are perceived as inconsequential, akin to "not getting one's favorite ice cream," as another missionary put it. Hell, in this context, is merely a lower tier of Heaven. This paradoxical belief system allows Mormons to act without apparent consequence, yet they still profess restraint and deny wrongdoing, even in the face of heinous acts like the Mountain Meadows Massacre, which they often dismiss as an inexplicable event.
One missionary, with whom I was acquainted, presented another logical fallacy, which was akin to, "Have you encountered any exhortations in the Book of Mormon that urge you to engage in immoral acts?" I responded that her demand for a binary 'yes' or 'no' answer was an oversimplification. The Book of Mormon is not the sole 'divine' revelation within the Brigham Young sect, but one among many, including more contentious teachings. The crux of the matter is that promoting falsehoods is inherently harmful, and believing these falsehoods can lead one to engage in immoral acts. Indeed, the Book of Mormon encourages judgment based on false laws, denial of grammatical and punctuation errors, and an over-reliance on feelings to discern truth. It also advocates for the claim that God speaks through individuals, regardless of their errors, promoting a disregard for divine law and a blind trust in personal feelings. The Mountain Meadows Massacre serves as a stark example of how belief in falsehoods can culminate in tragic consequences.
The missionary, in a rare moment of candor, acknowledged a mistake she had made: she had incorrectly asserted that Moses authored the Ten Commandments, a falsehood she maintained until she corrected herself. This incident raises a broader question: should one initially trust and accept such assertions, or should one prioritize critical listening and verification of their truth? The biblical injunctions, "Guard me from the sin of presumption" and "Now the Berean Jews were of more noble character than those in Thessalonica, for they received the message with great eagerness and examined the Scriptures every day to see if what Paul said was true" (Acts 17:11), seem to advocate for the latter approach. Conversely, Mormon teachings often emphasize subjective feelings, as in "what do you feel?" or "how do you feel about that?", conveniently overlooking Jeremiah's warning, "The heart is deceitful above all things and desperately wicked, who can know it?" (Jeremiah 17:9). They also tend to dismiss negative feelings as devilish or confused, maintaining an infallibility that is belied by their admission of past errors and revisions in their "most correct book." To those Mormons who endorse such missionary tactics, I propose: trust my words first, before verifying them, and accept any criticisms of Mormonism without question, just as you urge others to trust your faith without evidence.
"And to you Latter-day Saints seeking verification for this post, why not resort to prayer for spiritual feelings? Given your belief in the primacy of faith, why the yearning for tangible evidence? Isn't this a contradiction, a form of hypocrisy? Observe the consequences of embracing the fallacy of 'trust in your heart'. How do you overlook the high divorce rates in America, a result of people's reliance on their feelings? Don't you see that this very tendency, which you wrongly equate with 'disbelieving Mormons' hearts', is a root cause of global division, conflict, and familial strife? Are you not, in your critique of others, blind to this very issue? Cease casting aspersions on others' blindness when you yourselves are afflicted. May God's return bring an end to these deceptions and those who oppose rational discourse, promoting instead an unquestioning trust in one's 'deceitful heart', masquerading as trust in God.
In response to Cambridge Professor Simon Baron-Cohen's call for specificity when labeling individuals as 'evil', rather than attributing their actions to vague, mystical influences, an atheist named Hector, supposedly of Scottish origin, posited:
'I find this argument more compelling than the notion of evil being directly instigated by the Devil or other supernatural entities. Why couldn't it be that 'evil' people, products of harsh environments marked by lovelessness, neglect, and abuse, are shaped by their surroundings? Why shouldn't society explore ways to address and rectify these issues?'
The concept of the Devil is not rooted in mysticism, and it's reasonable to question why one would accept the existence of a fictional entity. However, you, as an atheist, have conceded to this belief, as evidenced in your previous statements. You posed the question: 'Why shouldn't it be the case that individuals from adverse backgrounds, devoid of love, nurturing, and subjected to maltreatment, isolation, and rejection, could be considered evil?' Unfortunately, the poor grammar and structure of this query made its meaning unclear, a common occurrence in poorly constructed arguments.
You then suggested that society should explore ways to address and rectify these issues. I must ask, in your isolated and biased perspective, have you not encountered instances where individuals have been positively influenced by Christianity? Have no Christians ever attempted to 'fix' others, or helped them achieve mental stability and logical thinking? It's unproductive to remain entrenched in such narrow views and spew baseless accusations.
In the initial segment of the program, prophecy and Nostradamus expert John Hogue presented his predictions for the remainder of 2011 and discussed how some of Nostradamus' quatrains might relate to contemporary events. Nostradamus had written about a 'black and future king' engaged in war with the Third Antichrist. Hogue proposed that this 'king' could refer to Barack Obama, and the Antichrist, also known as Mabus, could be Osama bin Laden.
Concerning John Hogue, he is a political, meteorological, and astrological commentator who, drawing from these disciplines and his intuition, formulates conjectures about potential events and presents them as prophecies. In a past appearance on Coast to Coast AM, either in 2010 or 2009, Hogue redefined 'prophecy' as a 'possible future'. Reflecting on this, under Hogue's flawed reasoning, prophecy is not prophecy but rather a guess, and any correct guess is attributed to chance, while any incorrect 'prophecy' is not truly wrong, as it could still occur. Given that the future is not predetermined by a single entity, such as God, and is influenced by countless variables, it is highly unpredictable. Hogue's belief in individual control over destiny is also illogical, akin to asserting that the sun can occupy two places simultaneously or that two individuals can marry the same person. The definition of prophecy is to 'foretell the future' perfectly, based on complete knowledge of the past, present, and/or future, not merely to 'foretell a future possibility' or 'predict a temporary future'. Notably, even dictionary.com errs in its definition, perhaps unsurprisingly given its general nature.
Upon reviewing the January 27, 2010 episode of the C2CAM show, it became apparent that Hogue's 'visions' are not genuine glimpses into the future, but rather astute analyses of past and present events. It is plausible that Hogue exploits the mystique of Nostradamus' prophecies, misinterprets the distinction between 'prediction' and 'prophecy', and attracts those aspiring to prophecy without the gift, offering them a facile, yet deceitful, path. Penn and Teller, while atheists and proponents of mainstream scientific views, have provided insight into Hogue's character. Listening extensively to Hogue's discourse reveals a vain, self-righteous individual, deficient in logical reasoning and truth, who prioritizes media appearances and personal opinions over scholarly pursuit and truthful preaching, all for financial gain.</s>
|
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<s> Design Discussion:
Lindsay (Not its real name) needed an identity for its interactive suite
of tools, sites, and applications, which it was unifying under one umbrella
site.
The logo had a few restrictions in terms of color (orange was the primary
corporate brand color) and typeface (good old garamond). They wanted a
pure-type interactive logo. No symbols or icons were allowed.
The logo needed to convey motion and activity, a corporation on the move
and into the new digital age. It had to evoke the overall brand strategy,
but I was allowed to take some liberties if the impact was strong enough.
Rejection Rationale:
Option #1 was the universal favorite - the impact of the letters in motion
in the background was appreciated enough to overlook the orange background.
Unfortunately internal political issues derailed (for this year, at least)
the implementation of one integrated site.</s>
|
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<s> import { Component, OnInit } from '@angular/core';
import { Router } from '@angular/router';
import { FormGroup, FormBuilder, Validators, FormControl } from '@angular/forms';
import { ApiService } from '../api-service/api.service';
@Component({
selector: 'app-login',
templateUrl: './login.component.html',
styleUrls: ['./login.component.css']
})
export class LoginComponent implements OnInit {
loginForm: FormGroup;
invalidLogin: boolean = false;
visibility: boolean = true;
constructor(private formBuilder: FormBuilder, private router: Router, private api: ApiService) {
this.loginForm =new FormGroup({
role: new FormControl(''),
empId: new FormControl(''),
password: new FormControl('')
});
}
ngOnInit() {
window.localStorage.removeItem('username');
this.loginForm = this.formBuilder.group({
role: ['', Validators.required],
empId: ['', Validators.required],
password: ['', Validators.required]
});
}
onSubmit() {
if (this.loginForm.invalid) {
return;
}
const loginPayload = {
empId: this.loginForm.controls.empId.value,
password: this.loginForm.controls.password.value
}
this.api.login(this.loginForm.value).subscribe(response => {
if(response.statusCode === 200) {
console.log(response)
window.localStorage.setItem('username', response.employee.fullName);
window.localStorage.setItem('empId', response.employee.empId);
if(response.employee.role==="admin"){
this.router.navigate(['/admin-page']);
}
else{
this.router.navigate(['/employee-page']);
}
}else {
this.invalidLogin = true;
alert(response.message);
}
}, error=>console.log("server error!!"));
}
checkRole(){
if(this.loginForm.controls.role.value=="employee"){
this.visibility = true;
}
else{
this.visibility = false;
}
}
}
</s>
|
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2016,
3386,
4370,
1379,
1872,
1649,
1385,
1564,
1541,
15743,
2018,
59399,
59379,
5049,
5,
1354,
1614,
59320,
63,
13239,
59358,
5817,
1520,
1358,
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1872,
38138,
1823,
1476,
72,
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59320,
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1476,
72,
5,
1354,
1614,
10469,
59358,
6720,
31636,
1426,
9153,
25365,
59347,
1930,
7755,
10231,
1465,
5432,
1955,
36196,
4686,
72,
5,
1354,
17244,
5,
1354,
1565,
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2487,
59375,
5,
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10759,
5,
1354,
1614,
4139,
51128,
59342,
1536,
12000,
1980,
2636,
1358,
7537,
3094,
1441,
19771,
72,
5,
1354,
1614,
6219,
59360,
22784,
59320,
64,
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31311,
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4418,
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6616,
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4570,
5,
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1358,
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1377,
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5161,
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1354,
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1354,
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22965,
2045,
19735,
59320,
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1426,
6167,
1736,
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1508,
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15679,
8036,
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1354,
1614,
1452,
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1441,
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72,
59320,
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72,
1352,
22965,
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1464,
19735,
1385,
3593,
1358,
4105,
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1354,
1614,
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1817,
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1354,
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1358,
55582,
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3756,
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] |
<s> /****************************************************************************(I)(S)
* (C)
* ALi (Shanghai) Corporation, All Rights Reserved. 2009 Copyright (C)
* (C)
* File: ali_video.h
* (I)
* Description: ali video header
* (S)
* History:(M)
* Date Author Comment
* ==== ====== =======
* 0. 2009.12.22 Sam Create
****************************************************************************/
#ifndef __ALI_VIDEO_COMMON_H
#define __ALI_VIDEO_COMMON_H
#include "ali_basic_common.h"
#include "alidefinition/adf_basic.h"
#include "alidefinition/adf_media.h"
#include <alidefinition/adf_vpo.h>
/* video output dac information */
#define MAX_VIDEO_DAC_TYPENUM 23
#define VIDEO_DAC0 0x01
#define VIDEO_DAC1 0x02
#define VIDEO_DAC2 0x04
#define VIDEO_DAC3 0x08
#define VIDEO_DAC4 0x10
#define VIDEO_DAC5 0x20
enum Video_DacType
{
Video_CVBS_1 = 0,
Video_CVBS_2,
Video_CVBS_3,
Video_CVBS_4,
Video_CVBS_5,
Video_CVBS_6,
Video_SVIDEO_1,
Video_SVIDEO_2,
Video_SVIDEO_3,
Video_YUV_1,
Video_YUV_2,
Video_RGB_1,
Video_RGB_2,
Video_SVIDEO_Y_1,
Video_SECAM_CVBS1,
Video_SECAM_CVBS2,
Video_SECAM_CVBS3,
Video_SECAM_CVBS4,
Video_SECAM_CVBS5,
Video_SECAM_CVBS6,
Video_SECAM_SVIDEO1,
Video_SECAM_SVIDEO2,
Video_SECAM_SVIDEO3,
};
enum Video_VgaMode
{
Video_VGA_NOT_USE = 0,
Video_VGA_640_480,
Video_VGA_800_600
};
struct Video_DacIndex
{
uint8 uDacFirst; // for all (CVBS , YC_Y ,YUV_Y,RGB_R)
uint8 uDacSecond; //for SVideo & YUV & RGB (YC_C ,YUV_U,RGB_G)
uint8 uDacThird; //for YUV & RGB (YUV_V,RGB_B)
};
struct Video_DacInfo
{
int enable;
enum Video_DacType type;
enum Video_VgaMode mode;
struct Video_DacIndex index;
int progressive;
};
enum Video_TVSystem
{
Video_PAL = 0 , // PAL4.43(==PAL_BDGHI) (Fh=15.625,fv=50)
Video_NTSC , // NTSC3.58 (Fh=15.734,Fv=59.94)
Video_PAL_M , // PAL3.58 (Fh=15.734,Fv=59.94)
Video_PAL_N , // PAL4.43(changed PAL mode) (Fh=15.625,fv=50)
Video_PAL_60 , // (Fh=15.734,Fv=59.94)
Video_NTSC_443 , // NTSC4.43 (Fh=15.734,Fv=59.94)
Video_SECAM ,
Video_MAC ,
Video_LINE_720_25, //added for s3601
Video_LINE_720_30, //added for s3601
Video_LINE_1080_25, //added for s3601
Video_LINE_1080_30, //added for s3601_
Video_LINE_1080_50, //added for s3602f
Video_LINE_1080_60, //added for s3602f
Video_LINE_1080_24, //added for s3602f
Video_LINE_1152_ASS, //added for s3602f
Video_LINE_1080_ASS, //added for s3602f
Video_PAL_NC,
Video_LINE_800_600_VESA,
Video_LINE_1024_768_VESA,
Video_LINE_1360_768_VESA,
};
//TVAspect
enum Video_TVAspect
{
Video_TV_4_3 = 0,
Video_TV_16_9,
Video_TV_AUTO //060517 yuchun for GMI Aspect Auto
};
//DisplayMode
enum Video_DisplayMode
{
Video_PANSCAN = 0,
Video_PANSCAN_NOLINEAR, //non-linear pan&scan
Video_LETTERBOX,
Video_TWOSPEED, //add by t2
Video_PILLBOX,
Video_VERTICALCUT,
Video_NORMAL_SCALE,
Video_LETTERBOX149,
Video_DONT_CARE,
Video_AFDZOOM,
//BOTH
};
#define VIDEO_PIC_WIDTH 720
#define VIDEO_PIC_HEIGHT 2880 //2880 is the lease common multiple of screen height of Pal and ntsc
#define VIDEO_SCR_WIDTH 720
#define VIDEO_SCR_HEIGHT 2880
struct Video_Rect
{
int32 x; // Horizontal start point.
int32 y; // Vertical start point.
int32 w; // Horizontal size.
int32 h; // Vertical size.
};
struct Video_Pos
{
int32 x;
int32 y;
int32 w;
int32 h;
};
//YUV color
struct Video_YCbCrColor
{
uint8 Y;
uint8 Cb;
uint8 Cr;
};
enum Video_PicFmt
{
// YCbCr Format
Video_PicFmt_YCBCR_411,
Video_PicFmt_YCBCR_420,
Video_PicFmt_YCBCR_422,
Video_PicFmt_YCBCR_444,
//RGB format
Video_PicFmt_RGB_MODE1, //rgb (16-235)
Video_PicFmt_RGB_MODE2, //rgb (0-255)
};
#define DIS_FORMAT_CLUT2 0x1
#define DIS_FORMAT_CLUT4 0x2
#define DIS_FORMAT_ACLUT88 0x4
#define DIS_FORMAT_ARGB4444 0x6
#define DIS_FORMAT_RGB444 0x8
#define DIS_FORMAT_RGB555 0xa
#define DIS_FORMAT_CLUT8 0
#define DIS_FORMAT_MC420 10
#define DIS_FORMAT_MC422 (DIS_FORMAT_MC420 + 1)
#define DIS_FORMAT_MC444 (DIS_FORMAT_MC420 + 2)
#define DIS_FORMAT_AYCBCR8888 (DIS_FORMAT_MC444 + 3)
#define DIS_FORMAT_ARGB1555 20
#define DIS_FORMAT_RGB565 (DIS_FORMAT_ARGB1555 + 1)
#define DIS_FORMAT_ARGB8888 40
#define DIS_FORMAT_RGB888 41
#define VIDEO_MAX_GMA_REGION_NUM 6
#define VIDEO_MAX_GMA_WIDTH 4095
#define VIDEO_MAX_GMA_HEIGHT 4095
enum ALIFB_DE_LAYER
{
DE_LAYER0, // it is for Ali Video Module
DE_LAYER1, // it is the Ali Video PIP module or other
DE_LAYER2, // GMA1
DE_LAYER3, // GMA2
DE_LAYER4, // GMA3
DE_LAYER5, // GMA4
};
enum ALIFB_COLOR_TYPE
{
ALIFB_COLOR_YUV,
ALIFB_COLOR_RGB,
};
/* IO Command of Ali FB driver */
#define FBIO_GET_FBINFO 0x460001
#define FBIO_SET_OUTPUT_FRAME_PATH 0x460002
#define FBIO_OUTPUT_FRAME 0x460003
#define FBIO_CHECK_FRAME_FREE 0x460004
#define FBIO_GET_FBINFO_DATA 0x460005
#define FBIO_SET_COLOR_FMT 0x460009
#define FBIO_SET_TVSYS 0x460010
#define FBIO_GET_TVSYS 0x460011
#define FBIO_WIN_ZOOM 0x460012
#define FBIO_SET_ASPECT_MODE 0x460013
#define FBIO_GET_ASPECT_MODE 0x460014
#define FBIO_UNREG_DAC 0x460015
#define FBIO_REG_DAC 0x460016
#define FBIO_WIN_ONOFF 0x460017
#define FBIO_SET_PALLETTE 0x460018
#define FBIO_GET_PALLETTE 0x460019
#define FBIO_DELETE_GMA_REGION 0x460020
#define FBIO_CREATE_GMA_REGION 0x460021
#define FBIO_SET_GMA_SCALE_INFO 0x460022
#define FBIO_GET_GMA_REG_INFO 0x460023
#define FBIO_FLUSH_GMA_RECT 0x460024
#define FBIO_MOVE_REGION 0x460025
#define FBIO_GET_WINONOFF_STATE 0x460028 /* get FB1 onoff state */
#define FBIO_SET_BG_COLOR 0x460030
#define FBIO_REG_HDMI_CALLBACK_ROUTINE 0x460031
#define FBIO_SET_HDMI_PIC_FRMT 0x460032
#define FBIO_FILL_COLOR 0x460033
#define FBIO_SET_DE_LAYER 0x460040
#define FBIO_RPC_OPERATION 0x460041
#define FBIO_SET_GLOBAL_ALPHA 0x460042
#define FBIO_GMA_SCALE 0x460043
/* for debug add by ramble */
#define FBIO_DISABLE_GMA_ENHANCE 0x460044
#define FBIO_SET_REGION_SIDE_BY 0x460045
#define FBIO_VIDEO_ENHANCE 0x460046
#define FBIO_SET_MIX_ORDER 0x46004f /* 0:fb1+fb2+fb0
1:fb1+fb0+fb2
2:fb2+fb1+fb0
3:fb2+fb0+fb1
*/
#define FBIO_SET_GE_CMDQ_BUF 0x460100
#define FBIO_GET_UI_RSC_MAP 0x460101
#define FBIO_GET_DISPLAY_RECT 0X460102
#define FBIO_SET_DISPLAY_RECT 0X460103
#define FBIO_SET_UI_CACHE_FLUSH 0x460104
#define FBIO_GET_GE_CMDQ_BUF_ADDR_SIZE 0x460105
#define FBIO_GE_SYNC_TIMEOUT 0x460106
#define VPO_SET_WIN_ONOFF 0x480001
#define VPO_SET_WIN_ONOFF_EX 0x480002
#define VPO_WIN_ZOOM 0x480003
#define VPO_WIN_ZOOM_EX 0x480004
#define VPO_SET_TVSYS 0x480005
#define VPO_SET_TVSYS_EX 0x480006
#define VPO_SET_ASPECT_MODE 0x480007
#define VPO_CONFIG_SOURCE_WINDOW 0x480008
#define VPO_SET_WIN_MODE 0x480009
#define VPO_SET_BG_COLOR 0x480010
#define VPO_REG_DAC 0x480011
#define VPO_SET_PARAMETER 0x480012
#define VPO_VIDEO_ENHANCE 0x480013
#define VPO_SET_CGMS_INFO 0x480014
#define VPO_AFD_CONFIG 0x480015
#define VPO_GET_CURRENT_DISPLAY_INFO 0x480016
#define VPO_BACKUP_CURRENT_PICTURE 0x480017
#define VPO_FREE_BACKUP_PICTURE 0x480018
#define VPO_SET_OSD_SHOW_TIME 0x480019
#define VPO_GET_MP_SCREEN_RECT 0x480020
#define VPO_GET_MP_INFO 0x480021
#define VPO_GET_REAL_DISPLAY_MODE 0x480022
#define VPO_GET_TV_ASPECT 0x480023
#define VPO_GET_SRC_ASPECT 0x480024
#define VPO_GET_DISPLAY_MODE 0x480025
#define VPO_GET_OSD0_SHOW_TIME 0x480026
#define VPO_GET_OSD1_SHOW_TIME 0x480027
#define VPO_SET_VBI_OUT 0x480028
#define VPO_WRITE_WSS 0x480029
#define VPO_UNREG_DAC 0x480030
#define VPO_MHEG_SCENE_AR 0x480031
#define VPO_MHEG_IFRAME_NOTIFY 0x480032
#define VPO_DISAUTO_WIN_ONOFF 0x480033
#define VPO_ENABLE_VBI 0x480034
#define VPO_PLAYMODE_CHANGE 0x480035
#define VPO_DIT_CHANGE 0x480036
#define VPO_SWAFD_ENABLE 0x480037
#define VPO_704_OUTPUT 0x480038
#define VPO_SET_PREVIEW_MODE 0x480039
#define VPO_HDMI_OUT_PIC_FMT 0x480040
#define VPO_ALWAYS_OPEN_CGMS_INFO 0x480041
#define VPO_SET_LAYER_ORDER 0x480042
#define VPO_TVESDHD_SOURCE_SEL 0x480043
#define VPO_SD_CC_ENABLE 0x480044
#define VPO_SET_PREVIEW_SAR_MODE 0x480045
#define VPO_SET_FULL_SCREEN_CVBS 0x480046
#define VPO_GET_OUT_MODE 0x480047
#define FB_SET_SCALE_PARAM 0x05 // Set arbitrary scale param. see struct gma_scale_param_t
#define FB_GET_SCALE_PARAM 0x06 // Get scale param. see struct gma_scale_param_t
struct alifbio_cache_flush
{
unsigned long mem_start;
int mem_size;
};
/* add by qj
*/
#define FBIO_REGISTER_ISR 0x460200
#define FBIO_UNREGISTER_ISR 0x460201
#define FBIO_FLAG_WAIT 0x460202
/* for user to get cmd buffer size && addr */
struct alifbio_cmd_buf_addr_size
{
unsigned addr;
unsigned size;
};
/*FBIO_SET_OUTPUT_FRAME_PATH*/
enum ALIFB_OUTPUT_FRAME_PATH
{
FRAME_FROM_KERNEL,
FRAME_FROM_USER,
};
/*FBIO_GET_FBINFO_DATA*/
struct alifbio_fbinfo_data_pars
{
unsigned long mem_start;
int mem_size;
int xres_virtual;
int yres_virtual;
int line_length;
};
/*FBIO_SET_TVSYS*/
struct alifbio_tvsys_pars
{
int progressive;
enum Video_TVSystem tvsys;
};
/*FBIO_WIN_ZOOM*/
struct alifbio_zoom_pars
{
int user_screen_xres;
int user_screen_yres;
struct Video_Rect src_rect;
struct Video_Rect dst_rect;
};
/*FBIO_ASPECT_MODE*/
struct alifbio_aspect_pars
{
enum Video_TVAspect aspect;
enum Video_DisplayMode display_mode;
};
/*FBIO_SET_PALLETTE*/
enum ALIFB_PLT_TYPE
{
PLT_RGB, // 0~7 : B; 8 ~ 15 : G; 16 ~ 23 : R; 24 ~ 31 : Alpha
PLT_YUV, // 0~7 : V; 8 ~ 15 : Y 16 ~ 23 : U; ; 24 ~ 31 : Alpha
};
enum ALIFB_PLT_ALPHA_LEVEL
{
PLT_ALPHA_16,
PLT_ALPHA_128,
PLT_ALPHA_256,
};
struct alifbio_plt_pars
{
enum ALIFB_PLT_TYPE type;
enum ALIFB_PLT_ALPHA_LEVEL level;
void *pallette_buf;
int color_num;
unsigned char rgb_order; // enum GE_RGB_ORDER
unsigned char alpha_range; // enum GE_ALPHA_RANGE
unsigned char alpha_pol; // enum GE_ALPHA_POLARITY
};
/*FBIO_CREATE_GMA_REGION & FBIO_GET_GMA_REG_INFO*/
struct alifbio_reg_pars
{
int index;
struct Video_Rect rect;
uint32 dis_format;
void *mem_start;
int mem_size;
int pitch;
};
/*FBIO_SET_GMA_SCALE_INFO*/
enum ALIFB_GMA_SCALE_MODE
{
GMA_RSZ_DISABLE =0,
GMA_RSZ_DIRECT_RESIZE=4, /* copy pixels directly */
GMA_RSZ_ALPHA_ONLY =5, /* filter active only on alpha channel */
GMA_RSZ_COLOR_ONLY =6, /* filter active only on color channel */
GMA_RSZ_ALPHA_COLOR =7 /* filter active on alpha and color channel */
};
struct alifbio_gma_scale_info_pars
{
enum ALIFB_GMA_SCALE_MODE scale_mode;
/* scale parameters */
int h_dst;
int h_src;
int v_dst;
int v_src;
int tv_sys;
unsigned long uScaleCmd;
unsigned long uScaleParam;
};
#if 1
typedef enum
{
//SD
TV_MODE_FB_AUTO = 0, // switch by source
TV_MODE_FB_PAL,
TV_MODE_FB_PAL_M, // PAL3.58
TV_MODE_FB_PAL_N,
TV_MODE_FB_NTSC358, // NTSC3.58
TV_MODE_FB_NTSC443,
TV_MODE_FB_SECAM,
//HD
TV_MODE_FB_576P,
TV_MODE_FB_480P,
TV_MODE_FB_720P_50,
TV_MODE_FB_720P_60,
TV_MODE_FB_1080I_25,
TV_MODE_FB_1080I_30,
TV_MODE_FB_1080P_50,
TV_MODE_FB_1080P_60,
TV_MODE_FB_1080P_25,
TV_MODE_FB_1080P_30,
TV_MODE_FB_1080P_24,
}FB_TV_OUT_MODE;
enum TVSystem_FB
{
PAL_FB = 0 , // PAL4.43(==PAL_BDGHI) (Fh=15.625,fv=50)
NTSC_FB , // NTSC3.58 (Fh=15.734,Fv=59.94)
PAL_M_FB , // PAL3.58 (Fh=15.734,Fv=59.94)
PAL_N_FB , // PAL4.43(changed PAL mode) (Fh=15.625,fv=50)
PAL_60_FB , // (Fh=15.734,Fv=59.94)
NTSC_443_FB , // NTSC4.43 (Fh=15.734,Fv=59.94)
SECAM_FB ,
MAC_FB ,
LINE_720_25_FB, //added for s3601
LINE_720_30_FB, //added for s3601
LINE_1080_25_FB, //added for s3601
LINE_1080_30_FB, //added for s3601
LINE_1080_50_FB, //added for s3602f
LINE_1080_60_FB, //added for s3602f
LINE_1080_24_FB, //added for s3602f
LINE_1152_ASS_FB, //added for s3602f
LINE_1080_ASS_FB, //added for s3602f
PAL_NC_FB,
};
#endif
struct alifbio_gma_scale_pars
{
/* scale parameters */
FB_TV_OUT_MODE tv_mode;
int h_dst;
int h_src;
int v_dst;
int v_src;
};
/* FBIO_FLUSH_GMA_RECT */
struct alifbio_flush_GMA_rect_pars
{
int region_id;
void *in_start;
int in_pitch;
struct Video_Rect rect;
};
/* FBIO_MOVE_REGION */
struct alifbio_move_region_pars
{
int region_id;
struct Video_Pos pos;
};
/* FBIO_FILL_COLOR */
struct alifbio_fill_color_pars
{
enum ALIFB_COLOR_TYPE type;
uint32 color;
};
struct alifbio_cmdq_buf
{
int cmdq_index; // 0 - HQ, 1 - LQ
uint32 *cmdq_buf; // should be virtual address
int cmdq_size; // in bytes
};
/* FBIO_RPC_OPERATION :
it do Remote Process Call operation to the dis */
/*RPC API index definition */
#define RPC_FB_OPEN 1
#define RPC_FB_CLOSE 2
#define RPC_FB_WIN_ON_OFF 3
#define RPC_FB_WIN_MODE 4
#define RPC_FB_ZOOM 5
#define RPC_FB_ASPECT_MODE 6
#define RPC_FB_TVSYS 7
#define RPC_FB_TVSYS_EX 8
#define RPC_FB_IOCTL 9
#define RPC_FB_CONFIG_SOURCE_WINDOW 10
#define RPC_FB_SET_PROGRES_INTERL 11
#define RPC_FB_WIN_ON_OFF_EX 12
#define RPC_FB_ZOOM_EX 13
#define MAX_FB_RPC_ARG_NUM 4
#define MAX_FB_RPC_ARG_SIZE 512
struct ali_fb_rpc_arg
{
void *arg;
int arg_size;
int out;
};
struct ali_fb_rpc_pars
{
int hd_dev; /* 0 : SD output 1 : HD output*/
int API_ID;
struct ali_fb_rpc_arg arg[MAX_FB_RPC_ARG_NUM];
int arg_num;
};
struct ali_fb_rsc_mem_map
{
void *mem_start;
unsigned long mem_size;
};
/* FBIO_VIDEO_ENHANCE */
#define FBIO_SET_ENHANCE_BRIGHTNESS 0x01 // value[0, 100], default 50
#define FBIO_SET_ENHANCE_CONTRAST 0x02 // value[0, 100], default 50
#define FBIO_SET_ENHANCE_SATURATION 0x04 // value[0, 100], default 50
#define FBIO_SET_ENHANCE_SHARPNESS 0x08 // value[0, 10 ], default 5
#define FBIO_SET_ENHANCE_HUE 0x10 // value[0, 100], default 50
struct ali_fb_video_enhance_pars
{
unsigned char changed_flag; //!< 图像增强的类型。FBIO_SET_ENHANCE_XX表示增强的类型。
unsigned short grade; //!< 图像增强的量化数值。范围为0 ~ 100。默认50,表示不做增强处理。
};
typedef struct ctrl_blk ali_vdeo_ctrl_blk;
typedef ali_dec_request_buf ali_video_request_buf;
typedef ali_dec_update_buf ali_video_update_buf;
enum vdec_output_mode
{
VDEC_FULL_VIEW,
VDEC_PREVIEW,
VDEC_SW_PASS,
};
enum vdec_avsync_mode
{
VDEC_AVSYNC_PTS = 0,
VDEC_AVSYNC_FREERUN,
};
enum vdec_playback_rate
{
VDEC_RATE_1_2,
VDEC_RATE_1_4,
VDEC_RATE_1_8,
VDEC_RATE_STEP,
VDEC_RATE_1,
VDEC_RATE_2,
VDEC_RATE_4,
VDEC_RATE_8,
};
enum vdec_playback_dir
{
VDEC_PLAY_FORWARD = 0,
VDEC_PLAY_BACKWARD,
};
enum vdec_type
{
VDEC_MPEG,
VDEC_AVC,
};
struct vdec_stop_param
{
int32 close_display;
int32 fill_black;
};
enum vdec_status
{
VDEC_STARTED_T = 1,
VDEC_STOPPED_T,
VDEC_PAUSED_T,
};
struct vdec_yuv_color
{
uint8 y;
uint8 u;
uint8 v;
};
struct vdec_sync_param
{
enum vdec_avsync_mode sync_mode;
};
struct ali_video_mem_info
{
void *mem_start;
unsigned long mem_size;
void *priv_mem_start;
unsigned long priv_mem_size;
void *mp_mem_start;
unsigned long mp_mem_size;
};
struct vdec_playback_param
{
enum vdec_playback_dir direction;
enum vdec_playback_rate rate;
};
struct vdec_pvr_param
{
int32 is_scrambled;
};
struct vdec_codec_param
{
enum vdec_type type;
int32 preview;
};
struct vdec_status_info
{
enum vdec_status status;
int8 first_header_parsed;
int8 first_pic_decoded;
int8 first_pic_showed;
uint16 pic_width;
uint16 pic_height;
enum AspRatio aspect_ratio;
uint32 frames_displayed;
uint32 frames_decoded;
int64 frame_last_pts;
int32 show_frame;
uint8 queue_count;
uint32 buffer_size;
uint32 buffer_used;
uint32 frame_rate;
int32 interlaced_frame;
int32 top_field_first;
int32 hw_dec_error;
int32 is_support;
enum vdec_output_mode output_mode;
struct vdec_playback_param playback_param;
struct vdec_playback_param api_playback_param;
};
struct vdec_display_rect
{
int32 src_x;
int32 src_y;
int32 src_w;
int32 src_h;
int32 dst_x;
int32 dst_y;
int32 dst_w;
int32 dst_h;
};
struct vdec_output_param
{
enum vdec_output_mode output_mode;
int32 smooth_switch;
enum TVSystem tv_sys;
int32 progressive;
void *mp_callback;
void *pip_callback;
};
/* ALIVIDEOIO_VIDEO_DIRECTION parameters */
/* forward or reverse mode */
enum ALI_VIDEO_DIRECTION
{
ALI_VIDEO_FORWARD,
ALI_VIDEO_BACKWARD
};
/* ALIVIDEOIO_VIDEO_SPEED parameters */
/* fast or slow play mode */
enum ALI_VIDEO_SPEED
{
ALI_VIDEO_SPEEDX1,
ALI_VIDEO_SPEEDX2,
ALI_VIDEO_SPEEDX4,
ALI_VIDEO_SPEEDX8,
ALI_VIDEO_SPEEDX16,
ALI_VIDEO_SPEEDX32,
ALI_VIDEO_SPEED_1_2 = 0x11,
ALI_VIDEO_SPEED_1_4,
ALI_VIDEO_SPEED_1_8,
ALI_VIDEO_SPEED_1_16,
ALI_VIDEO_SPEED_1_32,
ALI_VIDEO_SPEED_STEP = 0x101
};
#define ALI_VIDEO_SPEED_UP_MAX ALI_VIDEO_SPEEDX32
#define ALI_VIDEO_SPEED_DOWN_MAX ALI_VIDEO_SPEED_1_32
/* ALIVIDEOIO_VIDEO_SYNC_MODE parameters */
enum ALI_VIDEO_SYNC_MODE
{
ALI_VIDEO_SYNC_MODE_ENABLE,
ALI_VIDEO_SYNC_MODE_DISABLE,
};
#define ALI_VIDEO_SYNC_FIRSTFREERUN 0x0001
#define ALI_VIDEO_SYNC_I 0x0002
#define ALI_VIDEO_SYNC_P 0x0004
#define ALI_VIDEO_SYNC_B 0x0008
#define ALI_VIDEO_SYNC_ALL 0xFFFF
struct ali_video_sync_pars
{
enum ALI_VIDEO_SYNC_MODE sync_mode;
uint32 sync_flags;
};
/* ALIVIDEOIO_GE_OUT_INFO */
#define ALI_VIDEO_OUT_INFO_FLAG_FIRST_SHOWED 0x00000001
#define ALI_VIDEO_OUT_INFO_FLAG_FIRST_HEADER 0x00000002
struct ali_video_out_info_pars
{
int dev_idx;
uint32 flag;
int started;
int width;
int height;
int frame_rate; // frames per 1000seconds
int progressive;
int display_idx;
/* vbv buf paras */
uint32 read_p_offset;
uint32 write_p_offset;
int valid_size;
int is_support;
};
/* ALIVIDEOIO_SET_PREVIEW_PARS :
it means the needed size of the decoded frames.
output the full size if width or height is 0*/
struct ali_video_preview_pars
{
int preview_width;
int preview_height;
};
/* ALIVIDEOIO_SET_SEE_TEST_MODE parameters */
enum ali_video_see_test_mode
{
VDEC_TEST_NONE,
VDEC_TEST_Check_NAL,
VDEC_TEST_Check_HEADER,
};
struct ali_vpo_win_config_pars
{
int hd_dev;
struct vp_win_config_para win_config_para;
};
struct ali_vpo_winmode_pars
{
int hd_dev;
uint32 win_mode;
struct MPSource_CallBack mp_callback;
struct PIPSource_CallBack pip_callback;
};
/*FBIO_SET_TVSYS*/
struct ali_vpo_tvsys_pars
{
int hd_dev;
int progressive;
enum TVSystem tvsys;
};
/*FBIO_WIN_ZOOM*/
struct ali_vpo_zoom_pars
{
int hd_dev;
struct Rect src_rect;
struct Rect dst_rect;
enum vp_display_layer layer;
};
/*FBIO_ASPECT_MODE*/
struct ali_vpo_aspect_pars
{
int hd_dev;
enum TVMode aspect;
enum DisplayMode display_mode;
};
struct ali_vpo_win_status_pars
{
int hd_dev;
int on;
enum vp_display_layer layer;
};
struct ali_vpo_bgcolor_pars
{
int hd_dev;
struct YCbCrColor yuv_color;
};
struct ali_vpo_dac_pars
{
int hd_dev;
struct vp_io_reg_dac_para dac_param;
};
struct ali_vpo_parameter_pars
{
int hd_dev;
struct vpo_io_set_parameter param;
};
struct ali_vpo_video_enhance_pars
{
int hd_dev;
struct vpo_io_video_enhance video_enhance_param;
};
struct ali_vpo_cgms_info_pars
{
int hd_dev;
struct vpo_io_cgms_info cgms_info;
};
struct ali_vpo_afd_pars
{
int hd_dev;
struct vp_io_afd_para afd_param;
};
struct ali_vpo_display_info_pars
{
int hd_dev;
struct vpo_io_get_picture_info display_info;
};
struct ali_vpo_osd_show_time_pars
{
int hd_dev;
vpo_osd_show_time_t osd_show_time;
};
struct ali_vpo_screem_rect_pars
{
int hd_dev;
struct Rect mp_screem_rect;
};
struct ali_vpo_mp_info_pars
{
int hd_dev;
struct vpo_io_get_info mp_info;
};
struct ali_vpo_ioctrl_pars
{
int hd_dev;
uint32 param;
};
/* IO Command of Ali Video Drvier */
/* magic num 0x55*/
#define ALIVIDEOIO_VIDEO_STOP 0x550001
#define ALIVIDEOIO_VIDEO_PLAY 0x550002
#define ALIVIDEOIO_VIDEO_PAUSE 0x550003
#define ALIVIDEOIO_VIDEO_RESUME 0x550004
#define ALIVIDEOIO_VIDEO_STEP 0x550005
#define ALIVIDEOIO_VIDEO_BLANK 0x550006
#define ALIVIDEOIO_VIDEO_DIRECTION 0x550007
#define ALIVIDEOIO_VIDEO_SPEED 0x550008
#define ALIVIDEOIO_VIDEO_SYNC_MODE 0x550009
#define ALIVIDEOIO_SET_DECODER_FORMAT 0x550020
#define ALIVIDEOIO_GET_INPUT_CALLBACK_ROUTINE 0x550021
#define ALIVIDEOIO_SET_FBINFO_HANDLE 0x550022
#define ALIVIDEOIO_SET_DMA_INFO 0x550023
#define ALIVIDEOIO_GET_OUT_INFO 0x550024
#define ALIVIDEOIO_OUTPUT_FIRST_FRAME 0x550025
#define ALIVIDEOIO_SET_PREVIEW_PARS 0x550026
#define ALIVIDEOIO_RPC_OPERATION 0x550040
#define ALIVIDEOIO_SET_SOCK_PORT_ID 0x550041
#define ALIVIDEOIO_GET_MEM_INFO 0x550042
#define ALIVIDEOIO_SET_CTRL_BLK_INFO 0x550043
#define ALIVIDEOIO_GET_BOOTMEDIA_INFO 0x550044
#define ALIVIDEO_ROTATION 0x550045
#define ALIVIDEOIO_SET_MODULE_INFO 0x550046
#define ALIVIDEOIO_GET_BOOTMEDIA_TIME 0x550047
#define ALIVIDEOIO_DBG_BASE 0x55f000
#define ALIVIDEOIO_ENABLE_DBG_LEVEL (ALIVIDEOIO_DBG_BASE + 0x0001)
#define ALIVIDEOIO_DISABLE_DBG_LEVEL (ALIVIDEOIO_DBG_BASE + 0x0002)
#define ALIVIDEOIO_SET_SEE_TEST_MODE (ALIVIDEOIO_DBG_BASE + 0x0003)
#define ALIVIDEOIO_SET_APE_DBG_MODE (ALIVIDEOIO_DBG_BASE + 0x0004)
#define ALIVIDEOIO_GET_APE_DBG_MODE (ALIVIDEOIO_DBG_BASE + 0x0005)
#define VDEC_MAGIC 0x56
/* live stream io */
#define VDECIO_START _IO(VDEC_MAGIC, 0)
#define VDECIO_PAUSE _IO(VDEC_MAGIC, 1)
#define VDECIO_RESUME _IO(VDEC_MAGIC, 2)
#define VDECIO_STEP _IO(VDEC_MAGIC, 3)
#define VDECIO_DRAW_COLOR_BAR _IO(VDEC_MAGIC, 4)
#define VDECIO_STOP _IOR(VDEC_MAGIC, 0, struct vdec_stop_param)
#define VDECIO_GET_CUR_DECODER _IOR(VDEC_MAGIC, 1, enum vdec_type)
#define VDECIO_GET_STATUS _IOR(VDEC_MAGIC, 2, struct vdec_status_info)
#define VDECIO_GET_MEM_INFO _IOR(VDEC_MAGIC, 3, struct ali_video_mem_info)
#define VDECIO_SET_SYNC_MODE _IOW(VDEC_MAGIC, 0, struct vdec_sync_param)
#define VDECIO_SET_PLAY_MODE _IOW(VDEC_MAGIC, 1, struct vdec_playback_param)
#define VDECIO_SET_PVR_PARAM _IOW(VDEC_MAGIC, 2, struct vdec_pvr_param)
#define VDECIO_SELECT_DECODER _IOW(VDEC_MAGIC, 3, struct vdec_codec_param)
#define VDECIO_FIRST_I_FREERUN _IOW(VDEC_MAGIC, 4, int)
#define VDECIO_SET_SYNC_DELAY _IOW(VDEC_MAGIC, 5, unsigned long)
#define VDECIO_CONTINUE_ON_ERROR _IOW(VDEC_MAGIC, 6, unsigned long)
#define VDECIO_SET_OUTPUT_RECT _IOW(VDEC_MAGIC, 7, struct vdec_display_rect)
#define VDECIO_FILL_FRAME _IOW(VDEC_MAGIC, 8, struct vdec_yuv_color)
#define VDECIO_SET_DMA_CHANNEL _IOW(VDEC_MAGIC, 9, unsigned char)
#define VDECIO_DTVCC_PARSING_ENABLE _IOW(VDEC_MAGIC, 10, int)
#define VDECIO_SAR_ENABLE _IOW(VDEC_MAGIC, 11, int)
#define VDECIO_SET_DEC_FRM_TYPE _IOW(VDEC_MAGIC, 12, unsigned long)
#define VDECIO_SET_SOCK_PORT_ID _IOW(VDEC_MAGIC, 13, int)
#define VDECIO_SET_OUTPUT_MODE _IOWR(VDEC_MAGIC, 0, struct vdec_output_param)
#define VDECIO_CAPTURE_DISPLAYING_FRAME _IOWR(VDEC_MAGIC, 1, struct vdec_picture)
/* media player io */
#define VDECIO_MP_GET_STATUS _IOR(VDEC_MAGIC, 200, struct vdec_decore_status)
#define VDECIO_MP_INITILIZE _IOW(VDEC_MAGIC, 200, struct vdec_mp_init_param)
#define VDECIO_MP_RELEASE _IOW(VDEC_MAGIC, 201, struct vdec_mp_rls_param)
#define VDECIO_MP_FLUSH _IOW(VDEC_MAGIC, 202, struct vdec_mp_flush_param)
#define VDECIO_MP_EXTRA_DATA _IOW(VDEC_MAGIC, 203, struct vdec_mp_extra_data)
#define VDECIO_MP_PAUSE _IOW(VDEC_MAGIC, 204, struct vdec_mp_pause_param)
#define VDECIO_MP_SET_SBM_IDX _IOW(VDEC_MAGIC, 205, struct vdec_mp_sbm_param)
#define VDECIO_MP_SET_SYNC_MODE _IOW(VDEC_MAGIC, 206, struct vdec_mp_sync_param)
#define VDECIO_MP_SET_DISPLAY_RECT _IOW(VDEC_MAGIC, 207, struct vdec_display_rect)
#define VDECIO_MP_SET_QUICK_MODE _IOW(VDEC_MAGIC, 208, unsigned long)
#define VDECIO_MP_SET_DEC_FRM_TYPE _IOW(VDEC_MAGIC, 209, unsigned long)
#define VDECIO_MP_CAPTURE_FRAME _IOWR(VDEC_MAGIC, 200, struct vdec_picture)
/* ALIVIDEOIO_GET_INPUT_CALLBACK_ROUTINE parameters */
#define ALI_VIDEO_REQ_RET_FAIL ALI_DECV_REQ_RET_FAIL
#define ALI_VIDEO_REQ_RET_OK ALI_DECV_REQ_RET_OK
#define ALI_VIDEO_REQ_RET_ERROR ALI_DECV_REQ_RET_ERROR
/* ALIVIDEOIO_GE_OUT_INFO */
#define ALI_VIDEO_OUT_INFO_FLAG_FIRST_SHOWED 0x00000001
#define ALI_VIDEO_OUT_INFO_FLAG_FIRST_HEADER 0x00000002
#define MSG_FIRST_SHOWED 1
#define MSG_MODE_SWITCH_OK 2
#define MSG_BACKWARD_RESTART_GOP 3
#define MSG_FIRST_HEADRE_PARSED 4
#define MSG_UPDATE_OUT_INFO 5
#define MSG_FIRST_I_DECODED 6
/* ALIVIDEOIO_RPC_OPERATION :
it do Remote Process Call operation to the decv */
/*RPC API index definition */
#define RPC_VIDEO_OPEN 1
#define RPC_VIDEO_CLOSE 2
#define RPC_VIDEO_START 3
#define RPC_VIDEO_STOP 4
#define RPC_VIDEO_VBV_REQUEST 5
#define RPC_VIDEO_VBV_UPDATE 6
#define RPC_VIDEO_SET_OUT 7
#define RPC_VIDEO_SYNC_MODE 8
#define RPC_VIDEO_PROFILE_LEVEL 9
#define RPC_VIDEO_IO_CONTROL 10
#define RPC_VIDEO_PLAY_MODE 11
#define RPC_VIDEO_DVR_SET_PAR 12
#define RPC_VIDEO_DVR_PAUSE 13
#define RPC_VIDEO_DVR_RESUME 14
#define RPC_VIDEO_DVR_STEP 15
#define RPC_VIDEO_SELECT_DEC 16
#define RPC_VIDEO_GET_DECODER 17
#define RPC_VIDEO_IS_AVC 18
#define RPC_VIDEO_SWITCH_DEC 19
#define RPC_VIDEO_GET_CURRENT_DEC 20
#define RPC_VIDEO_DECORE_IOCTL 21
#define RPC_VIDEO_DECODER_SELECT_NEW 22
#define RPC_VIDEO_INTENAL 0xF0000000
#define RPC_VIDEO_SET_DBG_FLAG (RPC_VIDEO_INTENAL + 0x0001)
#define MAX_VIDEO_RPC_ARG_NUM 4
#define MAX_VIDEO_RPC_ARG_SIZE 2048
#define VDEC_SYNC_PTS 0x00
#define VDEC_SYNC_FREERUN 0x01
/*! @enum VDEC_STATUS
@brief vdec模块的工作状态。
*/
enum VDEC_STATUS {
VDEC27_ATTACHED, //!< 初始化状态。
VDEC27_STARTED, //!< 播放状态。
VDEC27_STOPPED, //!< 停止状态。
VDEC27_PAUSED, //!< 暂停状态。
};
struct VDec_StatusInfo
{
enum VDEC_STATUS uCurStatus;
int32 uFirstPicShowed;
int32 bFirstHeaderGot;
uint16 pic_width;
uint16 pic_height;
uint16 status_flag;
uint32 read_p_offset;
uint32 write_p_offset;
uint32 display_idx;
int32 use_sml_buf;
enum VDecOutputMode output_mode;
uint32 valid_size;
uint32 MPEG_format;
enum AspRatio aspect_ratio;
uint16 frame_rate;
uint32 bit_rate;
int32 hw_dec_error;
int32 display_frm;
uint8 top_cnt;
uint8 play_direction;
uint8 play_speed;
uint8 api_play_direction;
uint8 api_play_speed;
int32 is_support;
uint32 vbv_size;
uint8 cur_dma_ch;
};
struct ali_video_rpc_arg
{
void *arg;
int arg_size;
int out;
};
struct ali_video_rpc_pars
{
int API_ID;
struct ali_video_rpc_arg arg[MAX_VIDEO_RPC_ARG_NUM];
int arg_num;
};
struct vdec_reserve_buf
{
uint32 buf_addr;
uint32 buf_size;
};
#define MSG_FIRST_SHOWED 1
#define MSG_MODE_SWITCH_OK 2
#define MSG_BACKWARD_RESTART_GOP 3
#define MSG_FIRST_HEADRE_PARSED 4
#define MSG_UPDATE_OUT_INFO 5
#define MSG_FIRST_I_DECODED 6
#define MSG_FF_FB_SHOWED 7
// decode status machine
#define VDEC_NEW_VIDEO_PACKET 1 // ready to decode new video packet(picture)
#define VDEC_WAIT_NEW_FB 2 // waiting for free buffer to decode video
#define VDEC_NEW_SLICE 3 // ready to decode new video slice
#define VDEC_ON_GOING 4 // video decoding is on going
#define VDEC_POST_PROCESS 5 // last picture decoding is done, ready to do some post process
#define VDEC_CONTINUE 6 // decore needs to push last decoded P VOP into DQ in B-VOP decoding and continue B-VOP decoding
// decode mode
#define VDEC_MODE_NORMAL 0 // normal decode
#define VDEC_MODE_VOL 1 // parse all headers above (including) VOP level without VOP reconstuction
#define VDEC_MODE_HEADER 2 // parse header to get current frame's prediction type
#define VDEC_MODE_SKIP_B_FRAME 3 // skip b frame
#define VDEC_MODE_SKIP_B_P_FRAME 4 // only decode i frame
#define VDEC_MODE_SBM 5 //
#define VDEC_MODE_SBM_STREAM 6 //
// decoder command
#define VDEC_CMD_INIT 0 // Initialize the decoder
#define VDEC_CMD_RELEASE 1 // Release the decoder
#define VDEC_CMD_DECODE_FRAME 2 // Decode a frame
#define VDEC_CMD_SW_RESET 3 // Reset the decoder sw status.
#define VDEC_CMD_HW_RESET 4 // Reset the HW to be ready to decode next frame
#define VDEC_CMD_EXTRA_DADA 5 // Decode extra data before decode frame
#define VDEC_CMD_GET_STATUS 6 // Get decoder status
#define VDEC_CMD_PAUSE_DECODE 7 // Pause decode task running
#define VDEC_CMD_FF_FB 8 // Fast forward/Fast backward
#define VDEC_CMD_REG_CB 9 // register callback function
#define VDEC_CMD_GET_TRICK_FRAME 10
#define VDEC_CMD_NORMAL_PLAY 11
#define VDEC_CMD_ROTATION_UPDATA_FRMBUF 12
#define VDEC_CMD_ROTATION_SET_FRMBUF 13
#define VDEC_CMD_ROTATION 14
// display queue operations (void* pHandle, int decOpt, void* pParam1, void* pParam2)
// *pParam1 --(uint32)de_index if not specified, *pParam2 -- (uint32)frame_id if available.
// frame_id == (frame_array_idx << 8) | frame_idx. For single output, frame_array_idx == 0
#define VDEC_DQ_INIT 20 // *pParam1 -- de_index, *pParam2 --, int DQ for de_index
#define VDEC_DQ_ADD_NULL_FRAME 21 // *pParam1 -- de_index, *pParam2 --, Add an null frame into DQ
#define VDEC_DQ_PEEK_FRAME 22 // *pParam1 -- de_index, *pParam2 -- the next frame_id in DQ
#define VDEC_DQ_POP_FRAME 23 // *pParam1 -- de_index, *pParam2 -- the frame_id to be poped
#define VDEC_DQ_GET_COUNT 24 // *pParam1 -- de_index, *pParam2 -- the frame number in DQ
#define VDEC_FRAME_PEEK_FREE 25 // *pParam1 -- the next free frm_idx, *pParam2 -- the next free pip_idx
#define VDEC_FRAME_GET_INFO 26 // *pParam2 -- frame_id, pParam1 -- struct DisplayInfo *,
#define VDEC_FRAME_GET_POC 27 // *pParam2 -- frame_id, pParam1 -- int *p_poc,
#define VDEC_FRAME_SET_FREE 28 // *pParam2 -- frame_id, bit16 must be set or clear, see DEC_LAST_REQ_FRAME_FLAG.
#define VDEC_FRAME_REQUESTING 29 // *pParam2 -- frame_id, pParam1 -- struct OutputFrmManager *,
#define VDEC_FRAME_REQUEST_OK 30 // *pParam2 -- frame_id, *pParam1 -- de_index,
#define VDEC_FRAME_RELEASE_OK 31 // *pParam2 -- frame_id, *pParam1 -- de_index,
#define VDEC_CLEAR_SCREEN 32 // *pParam2 -- flag, *pParam1 -- de_index,
#define VDEC_START_OUTPUT 33 // *pParam2 -- flag, *pParam1 -- de_index,
#define VDEC_FRAME_GET_PTS 34 // *pParam2 -- frame_id, pParam1 -- uint32 *pts
#define VDEC_CFG_VIDEO_SBM_BUF 35 // *pParam1 -- smb idx for video pkt buf, *pParam2 -- sbm idx for video output queue
#define VDEC_CFG_DISPLAY_SBM_BUF 36 // *pParam1 -- smb idx for display queue
#define VDEC_CFG_SYNC_MODE 37 // *pParam1 -- av sync mode
#define VDEC_CFG_SYNC_THRESHOLD 38 // *pParam1 -- hold threshold, *pParam2 -- drop threshold
#define VDEC_CFG_SYNC_DELAY 39 // *pParam1 -- av sync delay [-500ms, 500ms]
#define VDEC_CFG_DISPLAY_RECT 40 // *pParam1 -- source rect, *pParam2 destination rect
#define VDEC_CFG_DECODE_MODE 41 // *pParam1 -- decode mode
#define VDEC_CFG_FREERUN_TRD 42 // *pParam1 -- hol2free threshold, *pParam2 -- drop2free threshold
#define VDEC_CFG_SYNC_PARAM 43 // *pParam1 -- 0:hold 1:drop 2:rollback, *pParam2 -- 0:increase 1:decrease
#define VDEC_CFG_QUICK_MODE 44 // *pParam1 -- quick mode
#define VDEC_CAPTURE_FRAME 45 // *pParam1 -- struct vdec_picture
#define VDEC_ROTATE_FRAME 46 // *pParam1 -- frame angle
// decode return values
#define VDEC_SUCCESS 0
#define VDEC_FAILURE 1
#define VDEC_FORBIDDEN_DECODE 2 // some reason cannot decode
#define VDEC_INVALID_CMD 3
#define VDEC_FRAME_SKIPED 4 // frame skiped according to decode mode
#define VDEC_NO_MEMORY 5 // memory not enough
#define VDEC_BAD_FORMAT 6
#define VDEC_NOT_IMPLEMENTED 7 // new feature not supported
#define VDEC_PATCH_PSUDO_MB 8 // Patch IC issue
#define VDEC_CURRENT_CONTINUE 9 // continue decode current frame
// decode error type (not supported features)
#define VDEC_ERR_NONE 0
#define VDEC_ERR_SHAPE (1 << 0) // shape coding, unsupported
#define VDEC_ERR_SPRITE (1 << 1) // static sprite, unsupported
#define VDEC_ERR_NOT8BIT (1 << 2) // video data precision N-bit, unsupported
#define VDEC_ERR_NEWPRED (1 << 3) // newpred mode, unsupported
#define VDEC_ERR_SCALAB (1 << 4) // scalability, unsupported
#define VDEC_ERR_REDUCEDRES (1 << 5) // reduced resolution vop, unsupported
#define VDEC_ERR_3POINTGMC (1 << 6) // 3-point gmc, video may appear distorted
#define VDEC_ERR_DATA_PARTITION (1 << 7) // data partition, unsupported
#define VDEC_ERR_RESOLUTION (1 << 8) // resolution unsupported
#define VDEC_ERR_CODEC (1 << 9) // codec unsupported
#define VDEC_ERR_NOMEMORY (1 << 10) // not enough memory
// VdecInit.decoder_flag is a set of bit flags
#define VDEC_FLAG_HAS_LICENSED (1 << 0) // Has full license
#define VDEC_FLAG_AVC1_FORMAT (1 << 1) // AVC nalu has nalu_size on the head
#define VDEC_FLAG_MPEG4_DECODER (1 << 2) // I'm a general mpeg4 decoder
// other flag
#define VDEC_FLAG_LAST_REQ_FRAME (1 << 16) // An flag to free the last requested frame
#define VDEC_FRM_IDX_NOT_DISPLAY 0xfe // An indicator for not display frame
#define VDEC_FRM_IDX_INVALID 0xff
#define VDEC_MIN_FRAME_BUF_NUM 4
#define VDEC_MAX_FRAME_BUF_NUM 6
#define AV_NOPTS_VALUE ((int64)(0x8000000000000000LL))
#define MKTAG(a, b, c, d) (a | (b << 8) | (c << 16) | (d << 24))
#define h264 MKTAG('h','2','6','4')
#define xvid MKTAG('x','v','i','d')
#define mpg2 MKTAG('m','p','g','2')
#define flv1 MKTAG('f','l','v','1')
#define vp8 MKTAG('v','p','8',' ')
#define wvc1 MKTAG('w','v','c','1')
#define wmv3 MKTAG('w','m','v','3')
#define wx3 MKTAG('w','x','3',' ')
#define div3 MKTAG('d','i','v','3')
#define rmvb MKTAG('r','m','v','b')
#define mjpg MKTAG('m','j','p','g')
#define vc1 MKTAG('v','c','1',' ')
#define XD MKTAG('x','d',' ',' ')
typedef unsigned long FourCC;
typedef struct _VdecHWMemConfig
{
uint32 fb_y[VDEC_MAX_FRAME_BUF_NUM];
uint32 fb_c[VDEC_MAX_FRAME_BUF_NUM];
uint32 dv_y[VDEC_MAX_FRAME_BUF_NUM];
uint32 dv_c[VDEC_MAX_FRAME_BUF_NUM];
uint32 fb_max_stride;
uint32 fb_max_height;
uint32 dv_max_stride;
uint32 dv_max_height;
uint32 fb_num;
uint32 neighbor_mem;
uint32 colocate_mem;
uint32 cmdq_base;
uint32 cmdq_len;
uint32 vbv_start;
uint32 vbv_len;
} VdecHWMemConfig;
typedef struct _DViewCtrl
{
uint8 dv_enable;
uint8 dv_h_scale_factor;
uint8 dv_v_scale_factor;
uint8 interlaced:1;
uint8 bottom_field_first:1;
}DViewCtrl;
// Structure for HW memory config
typedef struct _VdecFBConfig
{
uint32 FBStride;
uint32 FBMaxHeight;
uint8 *FrmBuf; //used only for SW_DECODE
uint8 *DispBuf; //In HW_DISPLAY mode, first 4 bytes store frame buffer addr, last 4 byte stor dv buffer addr
} VdecFBConfig;
/// Describes a compressed or uncompressed video format.
typedef struct _VdecFormatInfo
{
FourCC fourcc;
int32 bits_per_pixel;
int32 pic_width;
int32 pic_height;
int32 pic_inverted;
int32 pixel_aspect_x;
int32 pixel_aspect_y;
int32 frame_rate;
int32 frame_period;
int32 frame_period_const;
} VdecFormatInfo;
// decore notify event to video player engine
enum VdecEventType
{
VDEC_EVENT_FRAME_FINISHED, // one frame finished by VE
VDEC_EVENT_FRAME_OUTPUT, // one frame put into DQ
VDEC_EVENT_DE_RELEASED, // one frame released by DE
VDEC_EVENT_DE_REQUESTING, // Requesting frame by DE
VDEC_EVENT_SLICE_FINISHED, // one slice finished by VE
VDEC_EVENT_FB_MALLOC_DONE, // frame buffer malloc done
VDEC_EVENT_FIELD_PIC_FLAG, // 0 -- 1 frame 1 pts, 1 -- 1 field 1 pts
};
typedef int32 (* VdecDecoreEven)(enum VdecEventType event, uint32 param);
typedef int32 (VdecDecodeFunction)(void *pHandle, int vdecCmd, void *pParam1, void *pParam2);
typedef int32 (* DisplayRequest)(void *, void *, void *);
typedef int32 (* DisplayRelease)(void *, void *);
// Structure with parameters used to instantiate a decoder.
typedef struct _VdecInit
{
VdecFormatInfo fmt_out; ///< Desired output video format.
VdecFormatInfo fmt_in; ///< Given input video format
const VdecFBConfig *pfrm_buf;
const VdecHWMemConfig *phw_mem_cfg;
VdecDecoreEven on_decode_event;
DisplayRequest pfn_decore_de_request;
DisplayRelease pfn_decore_de_release;
uint32 decoder_flag;
uint32 decode_mode;
uint32 preview;
uint32 sync_mode;
}VdecInit;
// Structure containing compressed video data.
typedef struct _VdecVideoPacket
{
void *buffer;
uint32 size;
uint8 decoded;
}VdecVideoPacket;
typedef struct _VdecFrmBuf
{
uint8 *buf_addr; //In HW_DISPLAY mode, first 4 bytes store frame buffer addr, last 4 byte stor dv buffer addr
uint8 buf_id;
uint8 prediction_type;
DViewCtrl dv_ctrl;
}VdecFrmBuf;
// Structure containing input bitstream and decoder frame buffer.
typedef struct _VdecFrameConfig
{
int32 decode_buf_id;
int32 decode_finish; ///< Non-zero value means that a frame was successfully decoded. Set by decoder.
int32 decode_mode;
int32 decode_status;
int64 pts;
int64 dts;
VdecVideoPacket video_packet; ///< Input video packet to be decoded.
DViewCtrl dview_ctrl;
int64 pos;
}VdecFrameConfig;
// Structure that can be used to get extended information about a decoded frame
typedef struct _VdecFrameInfo
{
uint32 frame_length;
uint32 frame_num;
uint32 vop_coded;
uint32 stride_y;
uint32 stride_uv;
int32 decode_status;
int32 decode_error;
uint8 disp_buf_id;
uint8 recon_buf_id;
uint8 ref_for_buf_id;
uint8 ref_back_buf_id;
uint32 disp_buf_prediction_type;
uint32 recon_buf_prediction_type;
uint32 for_buf_prediction_type;
uint32 bak_buf_prediction_type;
uint32 cur_frame_pts; // presentation timestamp of the decoded frame.
DViewCtrl disp_buf_dv_ctrl;
DViewCtrl for_buf_dv_ctrl;
DViewCtrl bak_buf_dv_ctrl;
}VdecFrameInfo;
// Structure used by display queue management
enum VdecFrmArrayType
{
VDEC_FRM_ARRAY_MP = 0x01,
VDEC_FRM_ARRAY_DV = 0x02,
VDEC_FRM_ARRAY_INVALID = 0xff,
};
struct OutputFrmManager
{
uint32 display_index[2];
enum VdecFrmArrayType de_last_request_frm_array[2];
enum VdecFrmArrayType de_last_release_frm_array[2];
//enum VdecFrmArrayType de_using_frm_array[2];
uint8 de_last_request_idx[2];
uint8 de_last_release_idx[2];
//uint8 de_using_frm_idx[2];
//uint8 de_using_laf_idx;
//uint8 de_last_request_laf_idx;
int32 last_output_pic_released[2];
int32 de_last_release_poc[2];
int32 de_last_request_poc[2];
uint8 frm_number;
uint8 pip_frm_number;
};
/*! @enum vdec_out_pic_type
@brief vdec 模块的输出图像类型。
*/
enum vdec_out_pic_type
{
VDEC_PIC_IMC1,
VDEC_PIC_IMC2,
VDEC_PIC_IMC3,
VDEC_PIC_IMC4,
VDEC_PIC_YV12
};
/*! @struct vdec_picture
@brief decv当前显示图像数据参数。
*/
struct vdec_picture
{
enum vdec_out_pic_type type; // only support 4:2:0 IMC3 now
uint8 *out_data_buf;
uint32 out_data_buf_size;
uint32 out_data_valid_size;
uint32 pic_width;
uint32 pic_height;
};
struct vdec_decore_status
{
uint32 decode_status;
uint32 pic_width;
uint32 pic_height;
uint32 sar_width;
uint32 sar_heigth;
uint32 frame_rate;
int32 interlaced_frame;
int32 top_field_first;
int32 first_header_got;
int32 first_pic_showed;
uint32 frames_decoded;
uint32 frames_displayed;
int64 frame_last_pts;
uint32 buffer_size;
uint32 buffer_used;
uint32 decode_error;
uint32 decoder_feature;
uint32 under_run_cnt;
int32 first_pic_decoded;
int32 output_mode;
uint32 frame_angle;
int64 first_i_frame_pts;
};
struct av_config
{
int32 av_sync_mode;
int32 hold_threshold;
int32 drop_threshold;
int32 av_sync_delay;
int32 av_sync_unit;
int32 preview;
struct Video_Rect src_rect;
struct Video_Rect dst_rect;
int32 pause_decode;
int32 pause_output;
int32 enable_output;
int32 high_threshold;
int32 low_threshold;
int32 hold2free_trd;
int32 drop2free_trd;
uint32 quick_mode;
};
enum av_sync_mode
{
AV_SYNC_NONE,
AV_SYNC_AUDIO,
AV_SYNC_VIDEO,
AV_SYNC_EXTERNAL, /* synchronize to an external clock */
AV_SYNC_AUDIO_N, /* sync width audio, using new av sync module */
AV_SYNC_VIDEO_N, /* sync width video, using new av sync module */
AV_SYNC_EXTERNAL_N, /* sync width external clock, using new av sync module */
};
enum av_picture_type
{
PICTURE_TYPE_I = 1, ///< Intra
PICTURE_TYPE_P, ///< Predicted
PICTURE_TYPE_B, ///< Bi-dir predicted
PICTURE_TYPE_S, ///< S(GMC)-VOP MPEG4
PICTURE_TYPE_SI, ///< Switching Intra
PICTURE_TYPE_SP, ///< Switching Predicted
PICTURE_TYPE_BI, ///< BI type
};
/**
* Pan Scan area.
* This specifies the area which should be displayed.
* Note there may be multiple such areas for one frame.
*/
struct av_panscan{
/**
* id
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
int32 id;
/**
* width and height in 1/16 pel
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
int32 width;
int32 height;
/**
* position of the top left corner in 1/16 pel for up to 3 fields/frames
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
int16 position[3][2];
};
/**
* rational number numerator/denominator
*/
struct av_rational
{
int32 num; ///< numerator
int32 den; ///< denominator
};
struct rotation_rect
{
int width;
int height;
unsigned char * src_y_addr;
unsigned char * src_c_addr;
int angle;
unsigned char * dst_y_addr;
unsigned char * dst_c_addr;
};
struct rotation_updata_info
{
unsigned int sw_y_addr;
unsigned int hw_y_addr;
unsigned int sw_pre_y_addr;
unsigned int hw_pre_y_addr;
int disp_info_size;
};
enum av_param_change_flags
{
AV_PARAM_CHANGE_CHANNEL_COUNT = 0x0001,
AV_PARAM_CHANGE_CHANNEL_LAYOUT = 0x0002,
AV_PARAM_CHANGE_SAMPLE_RATE = 0x0004,
AV_PARAM_CHANGE_DIMENSIONS = 0x0008,
};
struct av_packet
{
/**
* Presentation timestamp in AVStream->time_base units; the time at which
* the decompressed packet will be presented to the user.
* Can be AV_NOPTS_VALUE if it is not stored in the file.
* pts MUST be larger or equal to dts as presentation cannot happen before
* decompression, unless one wants to view hex dumps. Some formats misuse
* the terms dts and pts/cts to mean something different. Such timestamps
* must be converted to true pts/dts before they are stored in AVPacket.
*/
int64 pts;
/**
* Decompression timestamp in AVStream->time_base units; the time at which
* the packet is decompressed.
* Can be AV_NOPTS_VALUE if it is not stored in the file.
*/
int64 dts;
uint8 *data;
int32 size;
int32 stream_index;
int32 flags;
uint16 width, height;
int32 param_change_flags;
// void *side_data;
// int32 side_data_elems;
/**
* Duration of this packet in AVStream->time_base units, 0 if unknown.
* Equals next_pts - this_pts in presentation order.
*/
int32 duration;
void (*destruct)(struct av_packet *);
void *priv;
int64 pos; ///< byte position in stream, -1 if unknown
int64 convergence_duration;
};
struct av_frame
{
/**
* pointer to the picture planes.
* This might be different from the first allocated byte
* - encoding:
* - decoding:
*/
uint8 *data[4];
int32 linesize[4];
/**
* pointer to the first allocated byte of the picture. Can be used in get_buffer/release_buffer.
* This isn't used by libavcodec unless the default get/release_buffer() is used.
* - encoding:
* - decoding:
*/
uint8 *base[4];
/**
* 1 -> keyframe, 0-> not
* - encoding: Set by libavcodec.
* - decoding: Set by libavcodec.
*/
int32 key_frame;
/**
* Picture type of the frame, see ?_TYPE below.
* - encoding: Set by libavcodec. for coded_picture (and set by user for input).
* - decoding: Set by libavcodec.
*/
enum av_picture_type pict_type;
/**
* presentation timestamp in time_base units (time when frame should be shown to user)
* If AV_NOPTS_VALUE then frame_rate = 1/time_base will be assumed.
* - encoding: MUST be set by user.
* - decoding: Set by libavcodec.
*/
int64 pts;
/**
* picture number in bitstream order
* - encoding: set by
* - decoding: Set by libavcodec.
*/
int32 coded_picture_number;
/**
* picture number in display order
* - encoding: set by
* - decoding: Set by libavcodec.
*/
int32 display_picture_number;
/**\
* quality (between 1 (good) and FF_LAMBDA_MAX (bad))
* - encoding: Set by libavcodec. for coded_picture (and set by user for input).
* - decoding: Set by libavcodec.
*/
int32 quality;
/**
* buffer age (1->was last buffer and dint change, 2->..., ...).
* Set to INT_MAX if the buffer has not been used yet.
* - encoding: unused
* - decoding: MUST be set by get_buffer().
*/
int32 age;
/**
* is this picture used as reference
* The values for this are the same as the MpegEncContext.picture_structure
* variable, that is 1->top field, 2->bottom field, 3->frame/both fields.
* Set to 4 for delayed, non-reference frames.
* - encoding: unused
* - decoding: Set by libavcodec. (before get_buffer() call)).
*/
int32 reference;
/**
* QP table
* - encoding: unused
* - decoding: Set by libavcodec.
*/
int8 *qscale_table;
/**
* QP store stride
* - encoding: unused
* - decoding: Set by libavcodec.
*/
int32 qstride;
/**
* mbskip_table[mb]>=1 if MB didn't change
* stride= mb_width = (width+15)>>4
* - encoding: unused
* - decoding: Set by libavcodec.
*/
uint8 *mbskip_table;
/**
* motion vector table
* @code
* example:
* int mv_sample_log2= 4 - motion_subsample_log2;
* int mb_width= (width+15)>>4;
* int mv_stride= (mb_width << mv_sample_log2) + 1;
* motion_val[direction][x + y*mv_stride][0->mv_x, 1->mv_y];
* @endcode
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
uint16 (*motion_val[2])[2];
/**
* macroblock type table
* mb_type_base + mb_width + 2
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
uint32 *mb_type;
/**
* log2 of the size of the block which a single vector in motion_val represents:
* (4->16x16, 3->8x8, 2-> 4x4, 1-> 2x2)
* - encoding: unused
* - decoding: Set by libavcodec.
*/
uint8 motion_subsample_log2;
/**
* for some private data of the user
* - encoding: unused
* - decoding: Set by user.
*/
void *opaque;
/**
* error
* - encoding: Set by libavcodec. if flags&CODEC_FLAG_PSNR.
* - decoding: unused
*/
int64 error[4];
/**
* type of the buffer (to keep track of who has to deallocate data[*])
* - encoding: Set by the one who allocates it.
* - decoding: Set by the one who allocates it.
* Note: User allocated (direct rendering) & internal buffers cannot coexist currently.
*/
int32 type;
/**
* When decoding, this signals how much the picture must be delayed.
* extra_delay = repeat_pict / (2*fps)
* - encoding: unused
* - decoding: Set by libavcodec.
*/
int32 repeat_pict;
/**
*
*/
int32 qscale_type;
/**
* The content of the picture is interlaced.
* - encoding: Set by user.
* - decoding: Set by libavcodec. (default 0)
*/
int32 interlaced_frame;
/**
* If the content is interlaced, is top field displayed first.
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
int32 top_field_first;
/**
* Pan scan.
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
struct av_panscan *pan_scan;
/**
* Tell user application that palette has changed from previous frame.
* - encoding: ??? (no palette-enabled encoder yet)
* - decoding: Set by libavcodec. (default 0).
*/
int32 palette_has_changed;
/**
* codec suggestion on buffer type if != 0
* - encoding: unused
* - decoding: Set by libavcodec. (before get_buffer() call)).
*/
int32 buffer_hints;
/**
* DCT coefficients
* - encoding: unused
* - decoding: Set by libavcodec.
*/
short *dct_coeff;
/**
* motion reference frame index
* the order in which these are stored can depend on the codec.
* - encoding: Set by user.
* - decoding: Set by libavcodec.
*/
int8 *ref_index[2];
/**
* reordered opaque 64bit (generally an integer or a double precision float
* PTS but can be anything).
* The user sets AVCodecContext.reordered_opaque to represent the input at
* that time,
* the decoder reorders values as needed and sets AVFrame.reordered_opaque
* to exactly one of the values provided by the user through AVCodecContext.reordered_opaque
* @deprecated in favor of pkt_pts
* - encoding: unused
* - decoding: Read by user.
*/
int64 reordered_opaque;
/**
* hardware accelerator private data (FFmpeg allocated)
* - encoding: unused
* - decoding: Set by libavcodec
*/
void *hwaccel_picture_private;
/**
* reordered pts from the last AVPacket that has been input into the decoder
* - encoding: unused
* - decoding: Read by user.
*/
int64 pkt_pts;
/**
* dts from the last AVPacket that has been input into the decoder
* - encoding: unused
* - decoding: Read by user.
*/
int64 pkt_dts;
/**
* the AVCodecContext which ff_thread_get_buffer() was last called on
* - encoding: Set by libavcodec.
* - decoding: Set by libavcodec.
*/
//struct AVCodecContext *owner;
void *owner;
/**
* used by multithreading to store frame-specific info
* - encoding: Set by libavcodec.
* - decoding: Set by libavcodec.
*/
void *thread_opaque;
/**
* frame timestamp estimated using various heuristics, in stream time base
* - encoding: unused
* - decoding: set by libavcodec, read by user.
*/
int64 best_effort_timestamp;
/**
* reordered pos from the last AVPacket that has been input into the decoder
* - encoding: unused
* - decoding: Read by user.
*/
int64 pkt_pos;
/**
* reordered sample aspect ratio for the video frame, 0/1 if unknown\unspecified
* - encoding: unused
* - decoding: Read by user.
*/
struct av_rational sample_aspect_ratio;
/**
* width and height of the video frame
* - encoding: unused
* - decoding: Read by user.
*/
int32 width, height;
/**
* format of the frame, -1 if unknown or unset
* It should be cast to the corresponding enum (enum PixelFormat
* for video, enum AVSampleFormat for audio)
* - encoding: unused
* - decoding: Read by user.
*/
int32 format;
};
struct vdec_mp_init_param
{
uint32 codec_tag;
uint32 decode_mode;
uint32 decoder_flag;
uint32 preview;
uint32 frame_rate;
int32 pic_width;
int32 pic_height;
int32 pixel_aspect_x;
int32 pixel_aspect_y;
uint32 dec_buf_addr;
uint32 dec_buf_size;
};
struct vdec_mp_rls_param
{
int32 reserved;
};
struct vdec_mp_flush_param
{
uint32 flush_flag;
};
struct vdec_mp_extra_data
{
uint8 *extra_data;
uint32 extra_data_size;
};
struct vdec_mp_pause_param
{
uint8 pause_decode;
uint8 pause_display;
};
struct vdec_mp_sbm_param
{
uint8 packet_header;
uint8 packet_data;
uint8 decode_output;
uint8 display_input;
};
struct vdec_mp_sync_param
{
enum av_sync_mode sync_mode;
uint8 sync_unit;
};
#ifndef RPC_HLD_INTERNAL
#ifndef PDKAPI_INTERNAL
#define VDEC_IO_FILL_FRM 0x03
#define VDEC_IO_REG_CALLBACK 0x04
#define VDEC_IO_GET_STATUS 0x05
#define VDEC_IO_GET_MODE 0x06
#define VDEC_IO_GET_FRM 0x07
#define VDEC_IO_WHY_IDLE 0x08
#define VDEC_IO_SMLBUF 0x09
#define VDEC_IO_GET_FREEBUF 0x0A
#define VDEC_IO_FILLRECT_INBG 0x0B
#define VDEC_IO_PRIORITY_STOP_SML 0x0C
#define VDEC_IO_GET_FRM_ADVANCE 0x0D//rachel:support_return_multi_freebuffer
#define VDEC_IO_DVIEW_EXTRA_MODE 0x0F
#define VDEC_IO_FILL_FRM2 0x10
//changed for s3601-6/5
#define VDEC_IO_ADPCM_CMD 0x13
#define VDEC_IO_ABS_CMD 0x0E
#define VDEC_IO_ERR_CONCEAL_CMD 0x0F
#define VDEC_IO_PULLDOWN_ONOFF 0x11
#define VDEC_IO_DVIEW_CMD 0x12
//- changed end
#define VDEC_IO_COLORBAR 0x14
#define VDEC_IO_ENABLE_MPDVIEW 0x15
#define VDEC_IO_GET_VDEC_CONFIG 0x16
#define VDEC_IO_SET_SCALE_MODE 0x17
#define VDEC_IO_ENABLE_PREVIEW_PIP 0x18
#define VDEC_IO_FILL_PREVIEW_PIP 0x19
#define VDEC_IO_REG_SYNC_STATUS 0x1a
#define VDEC_IO_STOP_COPY_TASK 0x20
#define VDEC_IO_GET_OUTPUT_FORMAT 0x21
#define VDEC_IO_MAF_CMD 0x22
#define VDEC_IO_RESET_VE_HW 0x23
#define VDEC_SET_DMA_CHANNEL 0x24
#define VDEC_IO_SWITCH 0x25
#define VDEC_IO_GET_FRAME_STATISTIC 0x26
#define VDEC_IO_SET_DVIEW_PRECISION 0x27
#define VDEC_VBV_BUFFER_OVERFLOW_RESET 0x28
#define VDEC_IO_GET_I_FRAME_CNT 0x29
#define VDEC_IO_FIRST_I_FREERUN 0x2A
#define VDEC_IO_DISCARD_HD_SERVICE 0x2B
#define VDEC_IO_DONT_RESET_SEQ_HEADER 0x2C
#define VDEC_IO_SET_DROP_FRM 0x2D
#define VDEC_IO_MULTIVIEW_HWPIP 0x2E
#define VDEC_DTVCC_PARSING_ENABLE 0x2f
//set user_data mode for CloseCaption issue, Costa 2008.12.12
#define VDEC_CLOSECAPTION_UDMODE 0x30 // set user_data mode for CloseCaption issue, Costa 2008.12.12
#define VDEC_IO_PLAYBACK_PS 0x31 // playback programe stream
#define VDEC_IO_PLAY_FROM_STORAGE 0x32 // play stream from storage device
#define VDEC_IO_CHANCHG_STILL_PIC 0x33 // show black screen or still picture when change channel
#define VDEC_IO_SET_SYNC_DELAY 0x34 // set picture pts delay john
#define VDEC_IO_SAR_ENABLE 0x35 //enable/disable sar aspect ratio
#define VDEC_IO_FAST_CHANNEL_CHANGE 0x36
#define VDEC_IO_DROP_FRAME_VBVFULL 0x37
#define VDEC_IO_SEAMLESS_SWITCH_ENABLE 0x38
#define VDEC_IO_PAUSE_VIDEO 0x39
#define VDEC_IO_CONTINUE_ON_ERROR 0x3a // continue decoding when error occurs, TRUE/FALSE
#define VDEC_IO_SET_DECODER_MODE 0x40
#define VDEC_IO_SET_FREERUN_THRESHOLD 0x41
#define VDEC_IO_SET_OUTPUT_RECT 0x42
#define VDEC_IO_SET_AVSYNC_GRADUALLY 0x43
#define VDEC_IO_DBLOCK_ENABLE 0x44
#define VDEC_IO_EN_MUTE_FIRST 0x45
#define VDEC_IO_GET_DECORE_STATUS 0x46
#define VDEC_IO_SET_DEC_FRM_TYPE 0x47
#define VDEC_IO_SET_DMA_CHANNEL_NUMBER 0x48
#define VDEC_IO_SET_BOOTLOGO_ADDR 0x49
#define VDEC_IO_SET_SMOOTH_PREVIEW 0x4a
#define VDEC_IO_CLEAN_STILL_FRAME 0x4c
#define VDEC_IO_FILL_BG_VIDEO 0x70
#define VDEC_IO_BG_FILL_BLACK 0x71
#define VDEC_IO_RESERVE_MEMORY 0x72 // reserve memory for some feature, i.e. capture displaying frame
#define VDEC_IO_GET_MULTIVIEW_BUF 0x73
#define VDEC_IO_SET_MULTIVIEW_WIN 0x74
#define VDEC_IO_ELE_BASE 0x10000
#define VDEC_IO_PLAYBACK_STR (VDEC_IO_ELE_BASE + 0x01)
#define VDEC_IO_REG_DROP_FUN (VDEC_IO_ELE_BASE + 0x02)
#define VDEC_IO_REST_VBV_BUF (VDEC_IO_ELE_BASE + 0x03)
#define VDEC_IO_KEEP_INPUT_PATH_INFO (VDEC_IO_ELE_BASE + 0x04)
#define VDEC_IO_PLAY_MEDIA_STR (VDEC_IO_ELE_BASE + 0x05)
#define VDEC_IO_LIVE_STR_MON (VDEC_IO_ELE_BASE + 0x06)
#define VDEC_IO_DROP_BEF_FIRT_SHOW (VDEC_IO_ELE_BASE + 0x07)
#define VDEC_IO_ENABLE_SW_MONITOR (VDEC_IO_ELE_BASE + 0x08)
#define VDEC_IO_CAPTURE_DISPLAYING_FRAME (VDEC_IO_ELE_BASE + 0x09)
#define VDEC_IO_PVR_STREAM_INDICATOR (VDEC_IO_ELE_BASE + 0x0A)
#define VDEC_IO_SHOW_MOSAIC_LEVEL (VDEC_IO_ELE_BASE + 0x0B)
#define VDEC_IO_REG_GET_SYNC_FLAG_CB (VDEC_IO_ELE_BASE + 0x0C)
//#define VDEC_IO_SET_MODULE_INFO (VDEC_IO_ELE_BASE + 0x0D)
/*Container IO Control Command*/
#define CONTAINER_IO_CONTROL_BASE 0xffff
#define CONTAINER_IO_CONTROL_GET_TIME_MS (CONTAINER_IO_CONTROL_BASE+1)
#define CONTAINER_IO_CONTROL_EN_AC3_BS_MODE (CONTAINER_IO_CONTROL_BASE+2)
#define CONTAINER_IO_CONTROL_GET_CHAPTER_INFO (CONTAINER_IO_CONTROL_BASE+3)
#define CONTAINER_IO_CONTROL_GET_TOTALTIME_MS (CONTAINER_IO_CONTROL_BASE+4)
#define CONTAINER_IO_CONTROL_SET_AVSYNC_DELAY (CONTAINER_IO_CONTROL_BASE+5)
#endif
#endif
/* for debug add by ramble */
#if 1
// define pixel format
enum GE_GMA_PIXEL_FORMAT
{
// used by 3602
GE_GMA_PF_RGB565 =0x00,
GE_GMA_PF_RGB888 =0x01,
GE_GMA_PF_RGB555 =0x02,
GE_GMA_PF_RGB444 =0x03,
GE_GMA_PF_ARGB565 =0x04,
GE_GMA_PF_ARGB8888 =0x05,
GE_GMA_PF_ARGB1555 =0x06,
GE_GMA_PF_ARGB4444 =0x07,
GE_GMA_PF_CLUT1 =0x08,
GE_GMA_PF_CLUT2 =0x09,
GE_GMA_PF_CLUT4 =0x0A,
GE_GMA_PF_CLUT8 =0x0B,
GE_GMA_PF_ACLUT88 =0x0C,
GE_GMA_PF_YCBCR888 =0x10,
GE_GMA_PF_YCBCR422 =0x12,
GE_GMA_PF_YCBCR422MB =0x13,
GE_GMA_PF_YCBCR420MB =0x14,
GE_GMA_PF_AYCBCR8888 =0x15,
GE_GMA_PF_A1 =0x18,
GE_GMA_PF_A8 =0x19,
GE_GMA_PF_CK_CLUT2 =0x89,
GE_GMA_PF_CK_CLUT4 =0x8A,
GE_GMA_PF_CK_CLUT8 =0x8B,
GE_GMA_PF_ABGR1555 =0x90, /* GE not support, but DE support in M3202*/
GE_GMA_PF_ABGR4444 =0x91, /* GE not support, but DE support in M3202*/
GE_GMA_PF_BGR565 =0x92, /* GE not support, but DE support in M3202*/
// new added for the 36f
GE_GMA_PF_ACLUT44 = 0x93,
GE_GMA_PF_YCBCR444 = 0x94,
GE_GMA_PF_YCBCR420 = 0x95,
GE_GMA_PF_MASK_A1 = GE_GMA_PF_A1,
GE_GMA_PF_MASK_A8 = GE_GMA_PF_A8,
};
typedef struct _gma_pal_attr_t
{
unsigned char pal_type; // GE_PAL_RGB or GE_PAL_YCBCR
unsigned char rgb_order; // enum GE_RGB_ORDER
unsigned char alpha_range; // enum GE_ALPHA_RANGE
unsigned char alpha_pol; // enum GE_ALPHA_POLARITY
} gma_pal_attr_t, *pgma_pal_attr_t;
typedef const gma_pal_attr_t *pcgma_pal_attr_t;
typedef struct _gma_scale_param_t
{
unsigned short tv_sys; // enum TVSystem
unsigned short h_div;
unsigned short v_div;
unsigned short h_mul;
unsigned short v_mul;
} gma_scale_param_t, *pgma_scale_param_t;
typedef const gma_scale_param_t *pcgma_scale_param_t;
// End ge_gma_scale(dev, layer_id, scale_cmd, scale_param)
// ge_driver_config_t for ge_attach(dev, ge_driver_config_t *, layer_number);
typedef struct _gma_layer_config_t
{
unsigned long mem_base;
unsigned long mem_size;
unsigned char hw_layer_id; // application can switch hw layer id
unsigned char color_format; // default region color format, enum GMA_PIXEL_FORMAT
unsigned short width, height; // default region width and height
unsigned short pixel_pitch; // default region pixel pitch
unsigned long bScaleFilterEnable :1; // enable/disable GMA scale filter
unsigned long bP2NScaleInNormalPlay :1; // enable/disable PAL/NTSC scale in normal play mode
unsigned long bP2NScaleInSubtitlePlay :1; // enable/disable PAL/NTSC scale in subtitle play mode
unsigned long bDirectDraw :1; // for CPU direct draw, no GE draw
unsigned long bCacheable :1; // for CPU direct draw, no GE draw
unsigned long reserved :29; // reserved for future use
} gma_layer_config_t, *pgma_layer_config_t;
// for create/move/get region
typedef struct _alifb_gma_region_t
{
unsigned char color_format; // enum GMA_PIXEL_FORMAT
unsigned char galpha_enable; // 0 - use color by color alpha; 1 - enable global alpha for this region
unsigned char global_alpha; // If global alpha enable, please set global_alpha [0x00, 0xff]
unsigned char pallette_sel; // pallette index for CLUT4
unsigned short region_x; // x offset of the region, from screen top_left pixel
unsigned short region_y; // y offset of the region, from screen top_left pixel
unsigned short region_w;
unsigned short region_h;
unsigned long bitmap_addr; // 0 - use uMemBase(internal memory) which is set by ge_attach(gma_layer_config_t *);
// bitmap_addr not 0 - use external memory address as region bitmap addr
unsigned long pixel_pitch; // pixel pitch(not byte pitch) for internal memory or bitmap_addr
// ge_create_region(): bitmap_addr and pixel_pitch determines the region bitmap address, total 4 cases:
// Case 1: if bitmap_addr is 0, and pixel_pitch is 0, it will use region_w as pixel_pitch,
// and region bitmap addr will be allocated from uMemBase dynamically.
// Case 2: if bitmap_addr is 0, and pixel_pitch is not 0, the region bitmap addr will be fixed:
// uMemBase + (pixel_pitch * bitmap_y + bitmap_x) * byte_per_pixel
// Case 3: if bitmap_addr is not 0, and pixel_pitch is 0, the region bitmap addr will be:
// bitmap_addr + (bitmap_w * bitmap_y + bitmap_x) * byte_per_pixel
// Case 4: if bitmap_addr is not 0, and pixel_pitch is not 0, the region bitmap addr will be:
// bitmap_addr + (pixel_pitch * bitmap_y + bitmap_x) * byte_per_pixel
// ge_move_region(): region using internal memory can only change region_x, region_y, pal_sel;
// ge_move_region(): region using external memory can change everyting in ge_region_t;
unsigned long bitmap_x; // x offset from the top_left pixel in bitmap_addr or internal memory
unsigned long bitmap_y; // y offset from the top_left pixel in bitmap_addr or internal memory
unsigned long bitmap_w; // bitmap_w must >= bitmap_x + region_w, both for internal memory or external memory
unsigned long bitmap_h; // bitmap_h must >= bitmap_y + region_h, both for internal memory or external memory
unsigned long region_index;
} alifb_gma_region_t, *pgma_gma_region_t;
typedef const alifb_gma_region_t *pcgma_region_t;
#endif
#endif
</s>
|
[
1,
1900,
1410,
2915,
59335,
3601,
2463,
1421,
1616,
31461,
2915,
1503,
1959,
3268,
1432,
1796,
63,
8973,
63,
2482,
26343,
16050,
72,
5,
5,
7501,
1796,
1949,
59396,
59339,
23267,
5,
3546,
1949,
6520,
1410,
8029,
1910,
10881,
1427,
6520,
72,
5,
7501,
3440,
1436,
1949,
59388,
59339,
23267,
5,
3546,
1949,
6520,
1410,
6039,
1910,
10881,
1427,
6520,
72,
5,
7501,
3686,
23267,
5,
3546,
1949,
6520,
1410,
6179,
1385,
10881,
1427,
6520,
72,
5,
7501,
28303,
23267,
5,
5,
4268,
1410,
2164,
1379,
2463,
72,
5,
2
] |
<s> This is temmplate file for jinja templating example on if-elif-else conditional statements.
{% if x<y %}
{{ x }} is smaller than {{ y }}.
{% elif x>y %}
{{ x }} is greater than {{ y }}.
{% else %}
{{ x }} is equal to {{ y }}.
{% endif %}
This is end of file.
</s>
|
[
1,
13982,
1376,
10970,
59349,
59359,
2490,
14370,
63,
59328,
59381,
59358,
59392,
1481,
1778,
5,
31027,
43749,
2000,
8599,
1586,
1483,
16007,
59322,
1521,
2004,
63,
2747,
7839,
1388,
1786,
1640,
1586,
1483,
10970,
59469,
20876,
72,
1547,
59388,
5,
5,
35384,
18015,
63,
15538,
18015,
63,
1686,
5048,
1631,
5,
1354,
12812,
18015,
63,
15538,
18015,
63,
1686,
3432,
59320,
63,
59339,
59320,
63,
63,
3768,
63,
7764,
63,
42116,
2623,
1399,
45137,
63,
6353,
3109,
1461,
59332,
1631,
5,
5,
1354,
59377,
16733,
1712,
5,
1354,
12812,
18015,
63,
15538,
18015,
63,
1686,
4802,
1631,
5,
1354,
12812,
34137,
59320,
63,
11583,
2238,
2643,
59359,
3832,
59359,
3520,
59359,
22842,
4043,
2238,
10197,
4043,
2238,
2643,
59359,
10197,
4043,
5,
5,
20193,
5506,
6894,
2238,
5,
5,
59408,
5457,
59401,
2501,
2238,
14133,
59359,
1540,
1461,
59359,
3587,
1461,
59332,
72,
59332,
2238,
2643,
59359,
3832,
59359,
1540,
1461,
5,
5,
6979,
12742,
59320,
59362,
59384,
59373,
5,
2
] |
<s> FROM bbc2/debian-s6:jessie
MAINTAINER Bertrand Bonnefoy-Claudet <[email protected]>
RUN apt-wrap apt-get update \
&& apt-wrap apt-get install -y --no-install-recommends ldap-utils slapd \
# Clean up
&& apt-wrap apt-get clean \
&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
ADD rootfs /
VOLUME /etc/ldap/slapd.d /var/lib/ldap
EXPOSE 389
</s>
|
[
1,
1772,
10251,
5,
18345,
1432,
59320,
59345,
59373,
4304,
59320,
59349,
59344,
59345,
59384,
5,
5,
59469,
5103,
59358,
1393,
6763,
59338,
1451,
2211,
25965,
5,
38224,
5,
1724,
48142,
1400,
26791,
72,
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72,
59335,
59392,
59360,
50005,
59360,
59343,
59384,
59344,
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1380,
59392,
59360,
50005,
5,
3840,
48142,
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26791,
72,
15049,
1931,
1621,
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9428,
1467,
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59392,
59360,
9428,
5,
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26791,
72,
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59392,
59360,
2225,
5,
3840,
4337,
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5,
1724,
11503,
1467,
5363,
5,
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28203,
1931,
1385,
59360,
15750,
59342,
10965,
5,
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1931,
8093,
5,
5,
2182,
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19561,
59328,
59358,
5,
1354,
38224,
8434,
3651,
9244,
4678,
5,
1354,
38224,
5,
1354,
1962,
3261,
2950,
5111,
1754,
3307,
5,
1395,
38224,
11963,
2314,
1385,
3235,
1358,
4678,
5,
1395,
38224,
5,
1395,
3938,
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2018,
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2018,
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2018,
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1406,
2904,
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5,
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59320,
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72,
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59332,
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2482,
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1426,
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2328,
3209,
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10267,
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6521,
37873,
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18730,
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20030,
1547,
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59320,
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11465,
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1370,
2162,
13943,
25248,
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64,
6912,
5,
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59377,
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9077,
13138,
1421,
13902,
15617,
6623,
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38224,
5,
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59377,
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9077,
13138,
1421,
13902,
15617,
6623,
2018,
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1395,
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72,
26769,
2488,
59320,
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12714,
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3872,
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11545,
1421,
33930,
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2624,
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20030,
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64,
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1567,
1868,
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2908,
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22715,
72,
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59371,
5018,
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20030,
1547,
2453,
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5915,
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1670,
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1427,
1377,
2276,
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1541,
20030,
1547,
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64,
59361,
17078,
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59347,
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63,
17078,
59329,
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63,
17078,
59325,
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2498,
30126,
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5704,
59356,
59342,
1772,
59329,
5704,
59339,
17715,
59325,
5704,
59325,
59369,
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1535,
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72,
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20030,
59399,
6671,
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1670,
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39173,
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16523,
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10622,
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72,
59360,
6521,
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59351,
18730,
59328,
4823,
1635,
30145,
59342,
59320,
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1490,
4532,
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14457,
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11390,
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18730,
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37873,
59351,
18730,
59348,
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3307,
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1395,
1754,
72,
1541,
20030,
1547,
2453,
59376,
59320,
64,
11465,
1590,
1370,
2162,
13943,
25248,
7965,
5,
1395,
3425,
44127,
59320,
64,
2276,
72,
4215,
28637,
59399,
1754,
72,
1402,
59371,
5018,
6762,
7965,
59400,
5,
1395,
10961,
21150,
59320,
64,
2276,
72,
4215,
28637,
59399,
1754,
72,
1402,
59371,
5018,
3587,
1543,
7965,
59400,
5,
1395,
59377,
2219,
6800,
1379,
1383,
14655,
1390,
2827,
2147,
1441,
7366,
1385,
3806,
5,
1395,
1754,
72,
59332,
14655,
1390,
2827,
59320,
64,
6912,
5,
1395,
59377,
7472,
9077,
13138,
1421,
13902,
15617,
6623,
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1395,
1436,
2276,
72,
5466,
72,
7165,
72,
28557,
32877,
2538,
6258,
59358,
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1535,
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12714,
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12714,
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3587,
1543,
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1436,
2276,
72,
5466,
72,
7165,
72,
28557,
4940,
1389,
1517,
2488,
59358,
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1535,
1754,
72,
59332,
14655,
1390,
2827,
59320,
64,
5619,
5,
1535,
1754,
72,
26769,
2488,
59360,
6762,
59320,
64,
9989,
5,
1535,
1754,
72,
26769,
2488,
59360,
3587,
1543,
59320,
64,
9989,
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1395,
1436,
2276,
72,
5466,
72,
7165,
72,
28557,
4940,
17048,
59358,
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1535,
1754,
72,
59332,
14655,
1390,
2827,
59320,
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5619,
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1535,
1754,
72,
9966,
1435,
6102,
59360,
6762,
59320,
64,
9989,
59320,
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1535,
1754,
72,
9966,
1435,
6102,
59360,
3587,
1543,
59320,
64,
9989,
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1436,
2276,
72,
5466,
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7165,
72,
59356,
20030,
1470,
51535,
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1535,
1754,
72,
59332,
14655,
1390,
2827,
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64,
5619,
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1535,
1754,
72,
1470,
51535,
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6762,
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1535,
1754,
72,
1470,
51535,
59360,
3587,
1543,
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1754,
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6762,
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1754,
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3587,
1543,
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64,
9989,
5,
1395,
5,
1395,
59377,
3872,
1358,
11545,
1421,
33930,
1358,
2624,
5,
1395,
1754,
72,
59356,
20030,
59320,
64,
9842,
5,
1395,
5,
1395,
1567,
1949,
1377,
2276,
72,
5466,
72,
22715,
72,
7165,
59371,
5018,
59356,
20030,
1547,
2453,
59376,
59361,
5915,
5,
1535,
1567,
1427,
1377,
2276,
72,
1541,
20030,
1547,
2453,
59376,
59358,
5,
1670,
6671,
59320,
64,
59361,
17078,
59356,
59347,
59328,
63,
17078,
59329,
59347,
59328,
59361,
2498,
30126,
59356,
5704,
59356,
59342,
1772,
59329,
5704,
59339,
59369,
5,
1670,
1754,
72,
59356,
20030,
59399,
6671,
59400,
59320,
64,
9989,
1345,
5,
5,
1395,
1567,
1884,
1377,
3138,
59348,
3425,
44127,
72,
10584,
59399,
59345,
59400,
3307,
5,
1535,
59335,
59320,
64,
9927,
44127,
20915,
2391,
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5,
1535,
1436,
5363,
72,
1360,
13746,
59348,
2881,
72,
4689,
59348,
59335,
2328,
59358,
5,
5,
1670,
1754,
72,
59360,
18669,
59535,
15154,
59327,
3872,
6153,
2016,
8492,
1669,
5,
1670,
13280,
5,
1535,
59328,
59320,
64,
25206,
21150,
20915,
2391,
59400,
5,
1535,
1436,
5363,
72,
1360,
13746,
59348,
2881,
72,
4689,
59348,
59328,
2328,
59358,
5,
5,
1670,
1754,
72,
59360,
18669,
59535,
15154,
59327,
3872,
6153,
2016,
8492,
1669,
5,
1670,
13280,
5,
5,
1535,
1754,
72,
59360,
18669,
59535,
15154,
59327,
8677,
1390,
2827,
6153,
59348,
59335,
59342,
59328,
59347,
5,
1395,
1754,
72,
59360,
18669,
11390,
59351,
18730,
59328,
1669,
5,
2333,
5,
1354,
1962,
2765,
6521,
11390,
59351,
18730,
59328,
59348,
1754,
3307,
5,
1395,
38224,
5,
1395,
38224,
5,
1395,
1567,
1949,
1377,
2276,
72,
5466,
72,
22715,
72,
7165,
59371,
5018,
59356,
20030,
1547,
2453,
59376,
59361,
5915,
59320,
5,
1535,
1436,
1949,
59320,
64,
64,
1772,
17048,
5704,
5,
1670,
59353,
59320,
64,
5363,
72,
3948,
2827,
59348,
2881,
72,
4491,
59348,
1754,
72,
9966,
1435,
6102,
2328,
1345,
5,
1535,
8973,
1949,
59320,
64,
64,
1772,
1470,
51535,
5704,
5,
1670,
59353,
59320,
64,
5363,
72,
3948,
2827,
59348,
2881,
72,
4491,
59348,
1754,
72,
1470,
51535,
2328,
5,
1535,
8973,
1949,
59320,
64,
64,
1772,
12714,
5704,
5,
1670,
59353,
59320,
64,
5363,
72,
3948,
2827,
59348,
2881,
72,
4491,
59348,
1754,
72,
12714,
2328,
5,
1535,
8973,
1949,
59320,
64,
64,
1772,
26769,
2488,
5704,
1345,
5,
1670,
59353,
59320,
64,
5363,
72,
3948,
2827,
59348,
2881,
72,
4491,
59348,
1754,
72,
26769,
2488,
2328,
5,
1535,
2482,
59358,
5,
1670,
2466,
1426,
59356,
59347,
5,
1670,
10002,
2249,
3768,
2213,
25317,
6328,
2342,
59356,
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5,
5,
1535,
1567,
1868,
1377,
2276,
72,
2908,
59371,
59358,
5,
1670,
1754,
72,
59356,
20030,
59320,
64,
9879,
5,
1670,
1754,
72,
59356,
20030,
5018,
25248,
7965,
59320,
64,
9989,
5,
1670,
1754,
72,
59356,
20030,
5018,
1590,
1370,
2162,
7965,
59320,
64,
9989,
5,
1670,
1436,
2276,
72,
5466,
72,
7165,
72,
43030,
59358,
5,
1395,
1535,
1754,
72,
2153,
1994,
59320,
64,
1426,
2276,
72,
2908,
59371,
59399,
59325,
2904,
59356,
59400,
59320,
63,
5363,
72,
30052,
59348,
1754,
72,
2908,
59371,
59399,
59325,
2904,
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5049,
4532,
2238,
1345,
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2881,
72,
4211,
59348,
1754,
72,
2908,
59371,
59399,
59325,
2904,
59356,
29163,
5,
1670,
2482,
59358,
5,
1395,
1535,
1754,
72,
2153,
1994,
59320,
64,
2276,
72,
2908,
59371,
59399,
59325,
2904,
59356,
59400,
5,
1670,
59377,
16523,
59360,
34429,
59360,
10622,
8205,
1348,
35471,
59342,
1358,
3756,
1502,
12878,
1377,
1358,
2276,
72,
59356,
20030,
11545,
5,
1670,
39173,
59320,
64,
5363,
72,
16523,
59360,
34429,
59360,
10622,
59348,
2276,
72,
59360,
6521,
59535,
15154,
59327,
59342,
59320,
59344,
59342,
1420,
4532,
5,
1670,
1395,
5,
1670,
1567,
1427,
1377,
2276,
72,
5466,
72,
22715,
72,
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59371,
5018,
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20030,
30956,
59376,
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5,
5,
1395,
1535,
6671,
59320,
64,
59361,
17078,
59356,
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59328,
63,
17078,
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17078,
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2498,
30126,
59356,
5704,
59356,
59342,
1772,
59329,
5704,
59339,
17715,
59325,
5704,
59325,
59369,
59320,
5,
59320,
5,
1395,
1535,
1436,
2276,
72,
5466,
72,
30956,
18669,
59371,
59399,
1754,
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3230,
1406,
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2765,
18669,
11390,
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1754,
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38224,
5,
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38224,
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1949,
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2276,
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5466,
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22715,
72,
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2827,
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1949,
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1543,
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1535,
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1949,
59320,
64,
64,
1772,
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<s> '''
Created on 19 Oct 2018
@author: thomasgumbricht
'''
import geoimagine.gis.mj_gis_v80 as mj_gis
from geoimagine.support import karttur_dt as mj_dt
from geoimagine.timeseries import seasonalts as mj_ts
from os import path
import numpy as np
from pandas import to_datetime, Series
from math import floor
class TScoreFuncs:
'''Core timeseries functions
'''
def __init__(self):
'''Empty call to access the functions
'''
pass
def _SetMinMax(self,a):
'''Numpy array min, max and range extraction
'''
self.min = np.amin(a)
self.max = np.amax(a)
self.range = self.max-self.min
def _Normalize(self,a):
'''Numpy array Normalization
'''
self._SetMinMax(a)
return (a - self.min)/self.range
'''
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler(feature_range=(0, 1))
scaler = scaler.fit(a)
#print('Min: %f, Max: %f' % (scaler.data_min_, scaler.data_max_))
# normalize the dataset and print the first 5 rows
return scaler.transform(a)
'''
'''
norm = np.linalg.norm(a)
if norm == 0:
return a
return a / norm
'''
def _Standardize(self,a):
'''Numpy array Standardization
'''
from sklearn.preprocessing import StandardScaler
#from math import sqrt
# load the dataset and print the first 5 rows
#series = Series.from_csv('daily-minimum-temperatures-in-me.csv', header=0)
#print(series.head())
# prepare data for standardization
#values = series.values
#values = values.reshape((len(values), 1))
# train the standardization
scaler = StandardScaler()
scaler = scaler.fit(a)
#print('Mean: %f, StandardDeviation: %f' % (scaler.mean_, sqrt(scaler.var_)))
# standardization the dataset and print the first 5 rows
return scaler.transform(a)
'''
for i in range(5):
print(normalized[i])
# inverse transform and print the first 5 rows
inversed = scaler.inverse_transform(normalized)
for i in range(5):
print(inversed[i])
'''
def _FillAlongAxis(self,ts):
'''Linear interpolation of NaN, calls Numba function
'''
from geoimagine.ktnumba import InterpolateLinearNaNNumba
if np.all(np.isnan(ts)):
return self.dstNullDarr[self.dstcomp]
if np.isnan(np.sum(ts)):
non_nans = (~np.isnan(ts)).sum()
if float(non_nans)/ts.shape[0] < self.process.params.validfraction:
return self.dstNullDarr[self.dstcomp]
avg = np.nanmean(ts)
if np.isnan(ts[0]):
ts[0] = avg
if np.isnan(ts[ts.shape[0]-1]):
ts[ts.shape[0]-1] = avg
ts = InterpolateLinearNaNNumba(ts)
return ts
else:
return ts
def _ExtractSeason(self,ts):
'''Extract seasonal signal, calls Numba function
'''
from geoimagine.ktnumba import ResampleSeasonalAvg
if np.all(np.isnan(ts)):
return self.dstNullDarr[self.dstcomp]
tsr = ResampleSeasonalAvg(ts, self.dstArr, self.seasons)
return self._FillAlongAxis(tsr)
def _SeasonFill(self,ts,season):
'''Fill timeseries null with seasonal interpolation, calls Numba function
'''
from geoimagine.ktnumba import SeasonFill
if np.all(np.isnan(season)):
return self.dstNullDarr[self.dstcomp]
if np.isnan(ts[0]):
ts[0] = season[0]
if np.isnan(ts[self.lastitem]):
ts[self.lastitem] = season[self.lastitem]
tsr = SeasonFill(ts,season)
return tsr
def _OverAllAvg(self,ts):
'''Time series overall average
'''
if np.isnan(np.sum(ts)):
return self.dstNullD['avg']
return np.average(ts)
def _OverAllStd(self,ts):
'''Time series overall standard deviation
'''
if np.isnan(np.sum(ts)):
return self.dstNullD['std']
return np.std(ts)
def _OverAllNanMean(self,ts):
'''Time series overall average
'''
if np.isnan(np.nanmean(ts)):
return self.dstNullD['mean']
if self.kernelflag:
if self.process.params.wrap:
ts = np.lib.pad(ts, (self.halfkernel, self.halfkernel), 'wrap')
ts = np.convolve(ts, self.kernel, mode='valid')
else:
ts = np.convolve(ts, self.kernel, mode='same')
if self.threshold:
ts[ts > self.maxthreshold] = np.nan
ts[ts < self.minthreshold] = np.nan
return np.nanmean(ts)
def _OverAllNanStd(self,ts):
'''Time series overall standard deviation
'''
if np.isnan(np.nanmean(ts)):
return self.dstNullD['std']
if self.kernelflag:
if self.process.params.wrap:
ts = np.lib.pad(ts, (self.halfkernel, self.halfkernel), 'wrap')
ts = np.convolve(ts, self.kernel, mode='valid')
else:
ts = np.convolve(ts, self.process.params.filter, mode='same')
if self.threshold:
ts[ts > self.maxthreshold] = np.nan
ts[ts < self.minthreshold] = np.nan
return np.nanstd(ts)
def _MKtestAlongAxis(self,ts):
'''Mann Kendall and Theil Sen statistics for time series
'''
from geoimagine.ktnumba import MKtestIni
from scipy.stats import mstats
self.counter+=1
if np.isnan(np.sum(ts)):
self.mktsA[:,self.counter] = self.mktsNullA
return 0
self.mktsA[0,self.counter] = MKtestIni(ts)
self.mktsA[1:,self.counter] = mstats.theilslopes(ts,self.tsy)
return 0
def _OLSAlongAxis(self,ts):
'''Ordinary Least Square statistics for time series
'''
from geoimagine.ktnumba import OLSextendedNumba
self.counter += 1
if np.isnan(np.sum(ts)):
self.olsA[:,self.counter] = self.olsNullA
return 0
self.olsA[:,self.counter] = OLSextendedNumba(self.tsy, ts, self.olsArr)
return 0
def _SeasonalAutoCorrFIX(self,ts,partial):
'''
from mj_pandas_v67 import PandasTimeSeries,Autocorrelate
if ts[0] == -32768:
for l in range(13):
self.lagL[l].append(-32768)
return -32768
'''
if np.isnan(np.sum(ts)):
return self.dstNullDarr[self.dstcomp]
self.pandasTS = PandasTimeSeries(self.process.period)
self.pandasTS.CreatePandasTS(np.array(ts))
tsm = self.ResampleToMonthAvg()
lagAA = np.zeros([ 12, 13])
for m in range(0,12):
sig = np.roll(tsm.values, shift=m)
lagA = Autocorrelate(sig,11,partial)
lagB = Autocorrelate(np.flipud(sig),11,partial)
lagAA[m:] = np.concatenate((lagA[0:7],np.flipud(lagB[0:6])))
monthAvgAutoCorr = np.apply_along_axis( self.AxisAverage, 0, lagAA )
for l in range(13):
self.lagL[l].append(monthAvgAutoCorr[l])
return -32768
def _FullAutoCorr(self,ts,partial):
'''Autocorrelation of time series
'''
#from statsmodels.tsa.stattools import acf, pacf
from statsmodels import api as sm
if np.isnan(np.sum(ts)):
#return self.dstNullDarr[self.dstcomp]
self.lagL = self.dstNullDarr[self.dstcomp]
return -32768
if partial:
#I had to convert the numpy array to list, otherwise it did not work
lagA = sm.tsa.pacf(ts.tolist(),nlags=self.process.params.nlags)
else:
#I had to convert the numpy array to list, otherwise it did not work
lagA = sm.tsa.acf(ts.tolist(),nlags=self.process.params.nlags)
#concat and flip removed, already done above in this version
#lagAA = np.concatenate((lagA[0:7],np.flipud(lagA[0:6])))
for l in range(self.process.params.nlags):
self.lagL[l].append(lagA[l])
return -32768
def _IndexCrossTrendsAlongAxis(self,ts):
'''Cross Correlation of index and image (pixelwise) timeseries
'''
if np.isnan(np.sum(ts)):
#Set all output arrays to NaN
self.obs.append(self.tsNullArray)
self.tendency.append(self.tsNullArray)
self.fullseasons.append(self.tsNullArray)
self.residual.append(self.tsNullArray)
#self.seasons.append(self.tsNullArray)
#Return a dummy
return -32768
self.obs.append(ts)
#Set the timeseries
self.TS.SetTS(ts)
#run the decomposition
if self.dodecompose:
self.TS.SeasonalDecompose()
#append the results to the arrays
if self.process.params.xcrosstendency:
self.tendency.append(self.TS.tendency)
if self.process.params.xcrosseason:
self.fullseasons.append(self.TS.fullseasons)
if self.process.params.xcrossresidual:
self.residual.append(self.TS.residual)
#Return a dummy
return 0
def _LayerXCorrSetTStoNull(self):
'''Set pixelwise timeseries to NaN (for layer cross correlation)
'''
#Set all output arrays to NaN
if self.process.params.xcrossobserved:
self.obs_master.append(self.tsNullArray)
self.obs_slave.append(self.tsNullArray)
if self.process.params.xcrosstendency:
self.tendency_master.append(self.tsNullArray)
self.tendency_slave.append(self.tsNullArray)
if self.process.params.xcrosseason:
self.fullseasons_master.append(self.tsNullArray)
self.fullseasons_slave.append(self.tsNullArray)
if self.process.params.xcrossresidual:
self.residual_master.append(self.tsNullArray)
self.residual_slave.append(self.tsNullArray)
#self.seasons_master.append(self.tsNullArray)
#self.seasons_slave.append(self.tsNullArray)
def _LayerXCorrDecomposeTS(self,master,slave):
'''Decompose pixelwise timeseries (for layer cross correlation)
'''
#Set the observed time series
self.obs_master.append(master)
self.obs_slave.append(slave)
if self.dodecompose:
#Set the timeseries
self.TS.SetTS(master)
#run the appropriate analysis
self.TS.SeasonalDecompose()
#append the results to the arrays
#self.obs_master.append(self.TS.ts)
if self.process.params.xcrosstendency:
self.tendency_master.append(self.TS.tendency)
if self.process.params.xcrosseason:
self.fullseasons_master.append(self.TS.fullseasons)
if self.process.params.xcrossresidual:
self.residual_master.append(self.TS.residual)
#self.seasons_master.append(self.TS.seasons)
#Set the timeseries
self.TS.SetTS(slave)
#run the decomposition
self.TS.SeasonalDecompose()
#append the results to the arrays
#self.obs_slave.append(self.TS.ts)
if self.process.params.xcrosstendency:
self.tendency_slave.append(self.TS.tendency)
if self.process.params.xcrosseason:
self.fullseasons_slave.append(self.TS.fullseasons)
if self.process.params.xcrossresidual:
self.residual_slave.append(self.TS.residual)
#Return dummy
return 1
def _IndexXCorr(self,A):
'''Cross correlate index and pixelwise timeseries
'''
#if only null, then lag and pearson = null
if np.isnan(np.sum(A)):
self.xcross['lag'].append(-32768)
self.xcross['pearson'].append(-32768)
return
if self.process.params.normalize:
Anorm = ( A - np.average(A) ) / (np.std(A))
else:
Anorm = A
if self.process.params.abs:
lag, pearson, corrIndex, corrObs = self.TS.CrossCorrAbs(self.Inorm, Anorm,
self.process.params.mirrorlag,self.process.params.maxlag)
else:
lag, pearson, corrIndex, corrObs = self.TS.CrossCorr(self.Inorm, Anorm,
self.process.params.mirrorlag,self.process.params.maxlag)
#Append the results one by one
self.xcross['lag'].append(lag)
self.xcross['pearson'].append(pearson)
def _LayerXCorr(self, mArr, sArr):
'''Cross correlate two pixelwise timeseries
'''
#if only null, then lag and pearson = null
if np.isnan(np.sum(mArr)):
self.xcross['lag'].append(-32768)
self.xcross['pearson'].append(-32768)
return
if self.process.params.normalize:
mArr = ( mArr - np.average(mArr) ) / (np.std(mArr))
sArr = ( sArr - np.average(sArr) ) / (np.std(sArr))
'''
print ('norm mArr',mArr)
print ('norm sArr',sArr)
'''
if self.process.params.abs:
lag, pearson, corrIndex, corrObs = self.TS.CrossCorrAbs(mArr, sArr, self.process.params.mirrorlag, self.process.params.maxlag)
else:
lag, pearson, corrIndex, corrObs = self.TS.CrossCorr(mArr, sArr,self.process.params.mirrorlag,self.process.params.maxlag)
#Append the results one by one
self.xcross['lag'].append(lag)
self.xcross['pearson'].append(pearson)
def _LayerCrossCorrFixedLag(self, mArr, sArr, lag):
'''Cross correlate timeseries at fixed lag
'''
#if only null, then pearson = null = -32768
if np.isnan(np.sum(mArr)):
self.xcorr.append(-32768)
return
if self.process.params.normalize:
mArr = ( mArr - np.average(mArr) ) / (np.std(mArr))
sArr = ( sArr - np.average(sArr) ) / (np.std(sArr))
pearson = self.TS._CrossCorrFixedLag(mArr, sArr, lag)
self.xcorr.append(pearson)
def _SetTSDecomposition(self):
if self.process.params.naive:
'''
if self.process.params.additive:
model = 'additive'
else:
model = 'multiplicative'
self.TS = mj_ts.NaiveTS(self.process.srcperiod, self.process.params.yearfac,
self.process.params.trend, self.process.params.kernel, model)
'''
self.TS = mj_ts.NaiveTS(self.process.srcperiod, self.process.params)
else:
'''
self.TS = mj_ts.SeasonalTS(self.process.srcperiod,
self.process.params.yearfac, self.process.params.trend, self.process.params.kernel,
self.process.params.prefilterseason, self.process.params.forceseason)
'''
self.TS = mj_ts.SeasonalTS(self.process.srcperiod, self.process.params)
def _IndexDecomposition(self):
'''Decompose index timeseries
'''
self.indexD = {}
indexL = list(self.process.proc.index.paramsD.keys())
for i in indexL:
self.indexD[i] = {}
ts = np.array( [x[1] for x in self.session._SelectClimateIndex(self.process.srcperiod,i)] )
#set the timesereis
self.TS.SetTS(ts)
#Run the decomposition
self.TS.SeasonalDecompose()
#Extract the data
self.indexD[i]['obs'] = self.TS.ts[:]
self.indexD[i]['tendency'] = self.TS.tendency[:]
self.indexD[i]['residual'] = self.TS.residual[:]
#self.indexD[i]['seasons'] = self.TS.seasons[:]
self.indexD[i]['fullseasons'] = self.TS.fullseasons[:]
self.indexD[i]['season'] = self.TS.fullseasons[:]
class TScommon(TScoreFuncs):
'''common class for timeseries and timeseriesgraph
'''
def __init__(self, process, session, verbose):
TScoreFuncs.__init__(self)
self.verbose = verbose
self.process = process
self.session = session
def _CheckSrcTS(self):
'''Check source timeseries consistency
'''
srccompL = []
for locus in self.process.srcLayerD:
if len(self.process.srcLayerD[locus]) == 0:
exitstr = 'EXITING, no dates defined in timeseries'
exit(exitstr)
for datum in self.process.srcLayerD[locus]:
if not self.process.srcLayerD[locus][datum]:
print (' missing datum', datum)
SNULLEBULLE
continue
elif len(self.process.srcLayerD[locus][datum]) == 0:
exitstr = 'EXITING, no compositions defined in timeseries'
exit(exitstr)
for comp in self.process.srcLayerD[locus][datum]:
if not comp in srccompL:
srccompL.append(comp)
return srccompL
def _CheckSrcDstTS(self):
'''Check timeseries consistency
'''
srccompL = self._CheckSrcTS()
dstcompL = []
for locus in self.process.dstLayerD:
if len(self.process.dstLayerD[locus]) == 0:
exitstr = 'EXITING, no dates defined in timeseries'
print (exitstr)
SNULLEBULLE
exit(exitstr)
for datum in self.process.dstLayerD[locus]:
if not self.process.dstLayerD[locus][datum]:
print (' missing datum', locus, datum, self.process.dstLayerD[locus][datum])
print ('datum keys', list(self.process.dstLayerD[locus][datum].keys()))
SNULLEBULLE
continue
elif len(self.process.dstLayerD[locus][datum]) == 0:
exitstr = 'EXITING, no compositions defined in Sentinel._ExtractSentinelTileCoords'
exit(exitstr)
for comp in self.process.dstLayerD[locus][datum]:
if not comp in dstcompL:
dstcompL.append(comp)
return srccompL, dstcompL
def _OpenSrcLayers(self,locus,comp):
'''Open timeseries source datalayers for reading
'''
geoFormatD = {}
self.OpenLayers = []
self.LayerForAcqDateStrD = {}
self.AcqDateStrSrcLayerD ={}
firstLayer = True
self.srcDateD[comp] = []
for datum in self.process.srcLayerD[locus]:
if not self.process.srcLayerD[locus][datum]:
print (' missing datum', datum)
continue
if not self.process.srcLayerD[locus][datum][comp]:
print (' missing comp datum', comp, datum)
continue
self.srcDateD[comp].append(datum)
if self.process.srcLayerD[locus][datum][comp].FPN in self.OpenLayers:
#Duplicate layer reading, for seasonal or static data combined with timesereis
#print (self.process.srcLayerD[locus][datum][comp].datum.acqdatestr)
self.process.srcLayerD[locus][datum][comp].copy = True
self.AcqDateStrSrcLayerD[datum] = self.process.srcLayerD[locus][datum][comp].datum.acqdatestr
else:
#print ('opening',locus,datum,comp,self.process.srcLayerD[locus][datum][comp].FPN)
self.process.srcLayerD[locus][datum][comp].copy = False
self.process.srcLayerD[locus][datum][comp].srcDS,self.process.srcLayerD[locus][datum][comp].layer = mj_gis.RasterOpenGetFirstLayer(self.process.srcLayerD[locus][datum][comp].FPN,'read')
self.OpenLayers.append(self.process.srcLayerD[locus][datum][comp].FPN)
self.LayerForAcqDateStrD[self.process.srcLayerD[locus][datum][comp].datum.acqdatestr] = datum
self.process.srcLayerD[locus][datum][comp].layer.GetGeometry()
#print (self.process.srcLayerD[locus][datum][comp].layer.lins)
#print (self.process.srcLayerD[locus][datum][comp].layer.cols)
lins = self.process.srcLayerD[locus][datum][comp].layer.lins
cols = self.process.srcLayerD[locus][datum][comp].layer.cols
if comp in self.LayerReaderD:
if lins != self.LayerReaderD[comp]['lins']:
ERROR
if cols != self.LayerReaderD[comp]['cols']:
ERROR
else:
self.LayerReaderD[comp] = {'lins':lins,'cols':cols}
l = self.process.srcLayerD[locus][datum][comp].layer
self.srcCellNullD[comp] = self.process.srcLayerD[locus][datum][comp].layer.cellnull
if hasattr(self.process.srcLayerD[locus][datum][comp].comp,'id'):
self.idD[self.process.srcLayerD[locus][datum][comp].comp.id] = comp
if firstLayer:
self.geoFormatD[comp] = {'lins':l.lins,'cols':l.cols,'projection':l.projection,'geotrans':l.geotrans,'cellsize':l.cellsize}
geoFormatD[locus] = {'lins':l.lins,'cols':l.cols,'projection':l.projection,'geotrans':l.geotrans,'cellsize':l.cellsize}
self.firstFPN = self.process.srcLayerD[locus][datum][comp].FPN
firstLayer = False
else:
gfD = {'lins':l.lins,'cols':l.cols,'projection':l.projection,'geotrans':l.geotrans,'cellsize':l.cellsize}
for item in geoFormatD[locus]:
if geoFormatD[locus][item] != gfD[item]:
if item == 'cellsize':
if round(geoFormatD[locus][item],4) != round(gfD[item],4):
print ('layers can not be processed together (%s = %s and %s = %s' %(item, geoFormatD[locus][item], item, gfD[item]))
STOPPAPRESSARNA
elif item == 'geotrans':
pass
else:
print ('layers can not be processed together (%s = %s and %s = %s' %(item, geoFormatD[locus][item], item, gfD[item]))
print ('layer 0 ', self.firstFPN)
print ('layer 1', self.process.srcLayerD[locus][datum][comp].FPN)
print (geoFormatD[locus][item])
print (gfD[item])
STOPPAPRESSARNA
def _CloseSrcRasterFiles(self, locus):
'''Close open raster files
'''
for datum in self.process.srcLayerD[locus]:
if not self.process.srcLayerD[locus][datum]:
continue
for comp in self.process.srcLayerD[locus][datum]:
if not self.process.srcLayerD[locus][datum][comp]:
continue
#print ('closing',locus,datum,comp,self.process.srcLayerD[locus][datum][comp].FPN)
self.process.srcLayerD[locus][datum][comp] = None
for datum in self.process.dstLayerD[locus]:
for comp in self.process.dstLayerD[locus][datum]:
if self.process.dstLayerD[locus][datum][comp]:
self.process.dstLayerD[locus][datum][comp].dstDS.CloseDS()
self.session._InsertLayer(self.process.dstLayerD[locus][datum][comp],self.process.overwrite,self.process.delete)
def _ResampleToAnnualAvg(self,ts):
'''
'''
from geoimagine.ktnumba import ResampleToPeriodAvg
if np.isnan(np.sum(ts)):
return self.dstNullDarr[self.dstcomp]
tsr = ResampleToPeriodAvg(ts, self.dstArr, self.resampleperiods, self.years)
return tsr
def _ResampleToAnnualSum(self,ts):
'''
'''
from geoimagine.ktnumba import ResampleToPeriodSum
if np.isnan(np.sum(ts)):
return self.dstNullDarr[self.dstcomp]
tsr = ResampleToPeriodSum(ts, self.dstArr, self.resampleperiods, self.years)
return tsr
def _ResampleDictPeriodAvg(self,ts):
'''
'''
from geoimagine.ktnumba import ResampleToDictPeriodAvgNan
if np.all(np.isnan(ts)):
return self.dstNullDarr[self.dstcomp]
tsr = ResampleToDictPeriodAvgNan(ts, self.dstArr, self.numbaCols)
#Set nan to dstnull
tsr[np.isnan(tsr)] = self.dstNull
return tsr
def _ResampleInterpolPeriodAvg(self,ts):
'''
'''
from geoimagine.ktnumba import InterpolateLinearFixedNaNNumba, ResampleToDictPeriodAvgNan
if np.all(np.isnan(ts)):
return self.dstNullDarr[self.dstcomp]
tsi = InterpolateLinearFixedNaNNumba(ts,self.AcqSteps,self.interpolSteps,self.interpolA)
tsr = ResampleToDictPeriodAvgNan(tsi, self.dstArr, self.numbaCols)
#tsr[np.isnan(tsr)] = self.dstNull
return tsr
class ProcessTimeSeries(TScommon):
'''class for time series processing
'''
def __init__(self, process, session, verbose):
TScommon.__init__(self, process, session, verbose)
self.verbose = True
if self.verbose:
print (' starting ProcessTimeSeries:', self.process.proc.processid)
self._maskLayer = False
#Organize the timeseries data
srccompL, dstcompL = self._CheckSrcDstTS()
#Dict for geoformats
self.geoFormatD = {}
#Dict for source data null
self.srcCellNullD = {}
#The time series processing is run location by location
for locus in self.process.srcLayerD:
print (' locus',locus)
self.locus = locus
#Check that all the dst files are already done and not to be overwritten
self._CheckDstRasterFiles()
if self.SkipLocus:
if self.verbose:
print (' Locus all finished, continuing')
continue
#Crate a dict of the datum src and dst layers to create
self.dstDateD = {}
self.srcDateD = {}
for srccomp in srccompL:
self.srcDateD[srccomp] = []
for dstcomp in dstcompL:
self.dstDateD[dstcomp] = []
#dictionary linking comp to id
self.idD = {}
self.LayerReaderD = {}
#open the input data
for comp in srccompL:
self._OpenSrcLayers(locus,comp)
#Loop over the src data to find valid date list (if none, then return)
for sc in self.srcDateD:
if self.srcDateD[sc]:
self.srccomp = sc
self.srcDateL = self.srcDateD[self.srccomp]
#Adjust the output related to the input
if self.process.proc.processid.lower()[0:10] == 'resamplets':
firstSrcDate = self.process.srcperiod.datumD[self.srcDateL[0]]['acqdate']
lastSrcDate = self.process.srcperiod.datumD[self.srcDateL[-1]]['acqdate']
if self.process.srcperiod.timestep in ['M','monthlyday']:
lastSrcDate = mj_dt.AddMonth(lastSrcDate, 1)
datumL = list(self.process.dstLayerD[locus].keys())
acqdateL = [self.process.dstperiod.datumD[item]['acqdate'] for item in datumL]
#self._maskLayer = True
#self._maskLayerD = {'datum':self.srcDateL[0],'comp':srccompL[0]}
#Loop all datums in output and make sure all the required input is available
okDateL = []
notOkDateL = []
if self.process.dstperiod.timestep[len(self.process.dstperiod.timestep)-1] =='D':
for x,datum in enumerate(acqdateL):
startdate = datum
enddate = mj_dt.DeltaTime(startdate, self.process.dstperiod.periodstep-1)
if startdate >= firstSrcDate and enddate <= lastSrcDate:
okDateL.append(datumL[x])
else:
notOkDateL.append(datumL[x])
elif self.process.dstperiod.timestep == 'M':
for x,datum in enumerate(acqdateL):
startdate = datum
enddate = mj_dt.AddMonth(startdate, 1)
enddate = mj_dt.DeltaTime(enddate , -1)
if startdate >= firstSrcDate and enddate <= lastSrcDate:
okDateL.append(datumL[x])
else:
print ('adding not ok', datumL[x],startdate, firstSrcDate, enddate, lastSrcDate)
notOkDateL.append(datumL[x])
if self.process.proc.acceptmissing:
firstSrcDate = startdate
lastSrcDate = enddate
elif self.process.dstperiod.timestep == 'A':
for x,datum in enumerate(acqdateL):
startdate = datum
enddate = mj_dt.AddYear(startdate, 1)
enddate = mj_dt.DeltaTime(enddate , -1)
if startdate >= firstSrcDate and enddate <= lastSrcDate:
okDateL.append(datumL[x])
else:
if self.process.proc.acceptmissing:
firstSrcDate = startdate
lastSrcDate = enddate
else:
print (startdate, firstSrcDate)
print (enddate, lastSrcDate)
print (datumL[x])
notOkDateL.append(datumL[x])
if self.process.proc.acceptmissing:
firstSrcDate = startdate
lastSrcDate = enddate
else:
exit('Unknown timestep in PrcessTimeSeries',self.process.dstperiod.timestep)
if self.verbose:
print ('notOkDateL',notOkDateL)
print ('dsttadums', self.process.dstLayerD[locus])
#Remove the destination dates that are not OK unless acceptmissing is True
if not self.process.proc.acceptmissing:
for item in notOkDateL:
self.process.dstLayerD[locus].pop(item)
if self.process.proc.processid.lower()[0:7] == 'trendts':
#The null have to be reset after the original data for trendts
cellNullEditL = ['avg','std','ts-ic','ols-ic','ols-rmse']
srccomp = srccompL[0]
self.dstcompL = dstcompL
self.dstNullD = {}
for citem in dstcompL:
if citem in cellNullEditL:
self.process.proc.dstcompD[citem]['cellnull'] = self.srcCellNullD[srccomp]
#reset comp for all layers
for datum in self.process.dstLayerD[locus]:
self.process.dstLayerD[locus][datum][citem].comp.cellnull = self.srcCellNullD[srccomp]
self.dstNullD[citem] = self.process.proc.dstcompD[citem]['cellnull']
self.tsy = np.arange(len(self.process.srcperiod.datumL))
if 'mk' in dstcompL:
self.mktsNullA = np.array([self.dstNullD['mk'],self.dstNullD['ts-mdsl'],self.dstNullD['ts-ic'],self.dstNullD['ts-losl'],self.dstNullD['ts-hisl']])
self.mktsItemD = {'mk':0,'ts-mdsl':1,'ts-ic':2,'ts-losl':3,'ts-hisl':4}
if 'ols' in dstcompL:
self.olsNullA = np.array( [self.dstNullD['ols'],self.dstNullD['ols-ic'],self.dstNullD['ols-r2'],self.dstNullD['ols-rmse']])
self.olsArr = np.zeros( ( 4 ), np.float32)
self.olsItemD = {'ols':0,'ols-ic':1,'ols-r2':2,'ols-rmse':3}
#Get the dimensions and reading/writing style for this locus
self._SetReadWriteDim(locus)
#ResampleTS need to checkthe dts layers to produce prior to defining them
if self.process.proc.processid.lower()[0:10] == 'resamplets' and self.process.dstperiod.timestep[len(self.process.dstperiod.timestep)-1] in ['D','M']:
self._SetNumbaArrayReader(locus)
#Create the output data
self._CreateOpenDstRasterFiles(locus)
#Loop over the dst data to find out the dates to process, if all dst are False, then nothing to process
self.dstcomp = False
for dc in self.dstDateD:
print ('dc',dc)
print (self.dstDateD[dc])
if self.dstDateD[dc][0]:
self.dstcomp = dc
if not self.dstcomp:
if self.verbose:
print ('Nothing to process in PrcessTimeSeries, continue to next locus')
continue
self.dstDateL = self.dstDateD[self.dstcomp]
self.dstDatum = self.dstDateL[0]
#Set destination nullarrays
self._CreateDstNullArrays(dstcompL)
#Identify particular processes that require special settings
if 'xcross' in self.process.proc.paramsD and self.process.proc.paramsD['xcross']:
if self.process.proc.processid.lower()[0:5] == 'index':
self._SetTSDecomposition()
self._IndexDecomposition()
else:
self._SetTSDecomposition()
self.tsNullArray = np.ones(len(self.srcDateL), np.float32)
self.tsNullArray[self.tsNullArray==1] = np.nan
if self.process.proc.processid.lower()[0:15] == 'setassimilation':
self.dstNullD = {}
for item in dstcompL:
self.dstNullD[item] = self.process.proc.dstcompD[item]['cellnull']
self.dstNullD['mean'] = self.dstNullD['std'] = self.dstNullD['slvavg']
if hasattr(self.process.params, 'kernel'):
if self.process.params.kernel == '0':
self.kernel = 0
self.kernelflag = False
elif len(self.process.params.kernel) > 5 and ',' in self.process.params.kernel:
self.kernelflag = True
self.kernel = np.array([float(x) for x in self.process.params.kernel.split(',')])
self.kernel /= self.kernel.sum()
self.halfkernel = int(floor(self.kernel.shape[0]/2))
else:
exitstr = 'Something wrong with the kernel'
exit(exitstr)
if hasattr(self.process.params, 'maxthreshold'):
if self.process.params.maxthreshold <= self.process.params.minthreshold:
self.threshold = False
else:
self.maxthreshold = self.process.params.maxthreshold
self.minthreshold = self.process.params.minthreshold
self.threshold = True
#Set the nr of the last item in each ts
self.lastitem = len(self.process.srcperiod.datumL)-1
if self._LoopMaskLayer(locus):
self.ProcessLoop(locus, srccompL, dstcompL)
self._CloseDstRasterFiles(locus)
self._CloseSrcRasterFiles(locus)
def _LoopMaskLayer(self,locus):
if not self._maskLayer:
return True
def ProcessLoop(self, locus, srccompL, dstcompL):
#Process the timeseries block by block
for l in range(self.readitems):
self.wl = l*self.blocklines #self.wl for read and writeline in order for gdal to get info on where in the file to qrite
'''
if l > 3:
continue
'''
print (' line', l, self.wl, self.readitems)
#Read the data
self.srcRD = {}
for comp in srccompL:
print ('self.lastFullReadItem',self.lastFullReadItem)
blockSize = self.LayerReaderD[comp]['blocksize']
blockLines = self.LayerReaderD[comp]['blocklines']
#Check the reading to not go beyond the image
if l == self.lastFullReadItem:
#SNULLE
#blockLines = self.lastBlockLines
#blockSize = self.lastBlockSize
blockLines = self.LayerReaderD[comp]['lastBlockLines']
blockSize = self.LayerReaderD[comp]['lastBlockSize']
#print ('last lines',blockSize)
#print ('blocksize',blockSize)
#print ('blocklines',blockLines)
#Also reset the gobal bolcklines for writing
self.blocklines = blockLines
self._ReadSrcBlock(locus,comp,blockSize,blockLines)
#Set null to nan for the processing
cellnull = self.srcCellNullD[comp]
self.srcRD[comp][self.srcRD[comp]==cellnull]=np.nan
if 'spl3smp' in self.process.proc.srccompD[comp]['product'].lower():
if self.process.proc.processid.lower() not in ['seasonfilltsmodissingletile','seasonfilltssmap']:
#soil moisture = 0.02 is a default fallback in SMAP that is useless, better set to null in the resample
self.srcRD[comp][self.srcRD[comp] <= 0.02]=np.nan
#direct to process
if self.process.proc.processid.lower() == 'mendancillarytimeseries':
self.dstDateL = self.dstDateD[self.dstcomp]
self._TSFillNoData()
elif self.process.proc.processid.lower() == 'average3ancillarytimeseries':
self.srccompL = srccompL
self.dstDateL = self.dstDateD[self.dstcomp]
self.dstNull = self.process.proc.dstcompD[dstcompL[0]]['cellnull']
self._AverageTSPerDate()
elif self.process.proc.processid[0:13].lower() == 'extractseason':
self.dstNull = self.process.proc.dstcompD[dstcompL[0]]['cellnull']
self.dstArr = np.ones( ( len(self.dstDateL) ), np.float32)
self.seasons = len(self.dstDateL)
self._TSExtractSeason()
elif self.process.proc.processid.lower()[0:10] == 'resamplets':
self.dstNull = self.process.proc.dstcompD[dstcompL[0]]['cellnull']
self.dstArr = np.ones( ( len(self.dstDateL) ), np.float32)
self.years = len(self.dstDateL)
self.resampleperiods = self.process.dstperiod.periodstep
if self.process.dstperiod.timestep[-1] in ['D','M'] :
#Create an array that stats the start and end columns to resample for each output
# With daily data just go
if self.process.srcperiod.timestep == 'D':
self._TSresampleDstep()
else:
#go via interpolation to daily data
#this is a heavy process that takes time
self._TSresampleInterpolateDstep()
elif self.process.dstperiod.timestep == 'A':
#Faster then all the others, uses numba
self._TSresampleToAnnual()
else:
SNULLE
elif self.process.proc.processid.lower()[0:7] == 'trendts':
'''
movied to intro above
#The null have to be reset after the original data for trendts
cellNullEditL = ['avg','std','ts-ic','ols-ic','ols-rmse']
self.srccomp = srccompL[0]
self.dstcompL = dstcompL
self.dstNullD = {}
for item in dstcompL:
if item in cellNullEditL:
self.process.proc.dstcompD[item]['cellnull'] = self.srcCellNullD[self.srccomp]
self.dstNullD[item] = self.process.proc.dstcompD[item]['cellnull']
print ('self.dstNullD',self.dstNullD)
self.tsy = np.arange(len(self.process.srcperiod.datumL))
if 'mk' in dstcompL:
self.mktsNullA = np.ones(5, np.float32)
self.mktsNullA *= self.dstNullD['mk']
self.mktsItemD = {'mk':0,'ts-mdsl':1,'ts-ic':2,'ts-losl':3,'ts-hisl':4}
if 'ols' in dstcompL:
self.olsArr = np.zeros( ( 4 ), np.float32)
self.olsNullA = np.ones(4, np.float32)
self.olsNullA *= self.dstNullD['ols']
self.olsItemD = {'ols':0,'ols-ic':1,'ols-r2':2,'ols-rmse':3}
'''
self._TStrendIni()
#elif self.process.proc.processid.lower() in ['seasonfilltsmodissingletile','seasonfilltssmap']:
elif self.process.proc.processid.lower()[0:12] == 'seasonfillts':
for comp in srccompL:
if comp == 'season':
self.seasonKey = 'season'
else:
self.mainKey = comp
self._TSSeasonFill()
elif self.process.proc.processid.lower()[0:8] == 'autocorr':
self._AutoCorr()
elif self.process.proc.processid.lower()[0:15] == 'indexcrosstrend':
self.srccomp = srccompL[0]
self.dstcompL = dstcompL
self.dstNullD = {}
for item in dstcompL:
self.dstNullD[item] = self.process.proc.dstcompD[item]['cellnull']
self._IndexCrossTrend()
elif self.process.proc.processid.lower()[0:15] == 'imagecrosstrend':
self.srccomp = srccompL[0]
self.dstcompL = dstcompL
self.dstNullD = {}
for item in dstcompL:
self.dstNullD[item] = self.process.proc.dstcompD[item]['cellnull']
#self.dstDatum = self.dstDateD[dstcompL[0]][0]
self._LayerCrossTrend()
elif self.process.proc.processid.lower()[0:15] == 'setassimilation':
self._SetAssimilation()
elif self.process.proc.processid.lower()[0:10] == 'assimilate':
for item in dstcompL:
self.dstNull = self.process.proc.dstcompD[item]['cellnull']
if self.allSameSize:
self._Assimilate()
else:
self._AssimilateDownscale()
else:
exitstr = 'Exiting, processid %(p)s missing in ProcessTimeSeries' %{'p':self.process.proc.processid}
exit(exitstr)
FISKSOPPA
#self._CloseDstRasterFiles(locus)
#self._CloseSrcRasterFiles(locus)
def _SetReadWriteDimOld(self,locus):
self.lins = int(self.geoFormatD[locus]['lins'])
self.cols = int(self.geoFormatD[locus]['cols'])
self.imgSize = self.lins*self.cols
#TGTODO Get the free memory and then set blocksize
self.blocklines = min(10,self.lins)
self.blockSize = self.cols*self.blocklines
self.readitems = int(self.lins/self.blocklines)
if self.readitems < self.lins/self.blocklines:
self.lastFullReadItem = self.readitems
self.lastBlockSize = self.imgSize - self.readitems*self.blockSize
self.lastBlockLines = int(self.lastBlockSize/self.cols)
self.readitems += 1
else:
self.lastBlockLines = 0
self.lastFullReadItem = self.readitems + 10 #never reached
def _SetReadWriteDim(self,locus):
'''
'''
print (self.LayerReaderD)
#Get min and max lins and cols
maxlins = 0
maxcols = 0
minlins = 999999
mincols = 999999
for comp in self.LayerReaderD:
if self.LayerReaderD[comp]['lins'] > maxlins:
maxlins = self.LayerReaderD[comp]['lins']
if self.LayerReaderD[comp]['cols'] > maxcols:
maxcols = self.LayerReaderD[comp]['cols']
if self.LayerReaderD[comp]['lins'] < minlins:
minlins = self.LayerReaderD[comp]['lins']
if self.LayerReaderD[comp]['cols'] < mincols:
mincols = self.LayerReaderD[comp]['cols']
if minlins < maxlins:
#the ratio must be an exact integer
linsratio = float(maxlins)/float(minlins)
if not linsratio.is_integer():
exit('The ratio of layers at different resolutions must be an integer')
colsratio = int(maxcols/mincols)
linsratio = int(linsratio)
if not colsratio == linsratio:
exit('The ratio of layers at different resolutions must be an integer')
blocklines = linsratio
self.allSameSize = False
elif mincols < maxcols:
exit('The ratio of layers at different resolutions must be an integer')
else:
blocklines = min(10,maxlins)
self.allSameSize = True
self.blocklines = blocklines
#Set the read rules for min, only if min is less than max, otherwise the blockreading collapses
if not self.allSameSize:
imgSize, blockSize, readitems, lastBlockLines, lastFullReadItem = self._SetReadBlocks(minlins,mincols,1)
blockratio = int(maxlins/minlins)
for comp in self.LayerReaderD:
if self.LayerReaderD[comp]['lins'] == minlins:
self.LayerReaderD[comp]['imgsize'] = imgSize
self.LayerReaderD[comp]['blocklines'] = 1
self.LayerReaderD[comp]['blocksize'] = blockSize
self.LayerReaderD[comp]['blockratio'] = blockratio
self.LayerReaderD[comp]['readitems'] = readitems
self.LayerReaderD[comp]['lastBlockLines'] = lastBlockLines
lastBlockSize = imgSize - (readitems-1)*blockSize
self.LayerReaderD[comp]['lastBlockSize'] = lastBlockSize
#self.LayerReaderD[comp]['lastFullReadItem'] = lastFullReadItem
#print (self.LayerReaderD)
#Set the read rules for max
imgSize, blockSize, readitems, lastBlockLines, lastFullReadItem = self._SetReadBlocks(maxlins,maxcols,blocklines)
self.readitems = readitems
self.lastFullReadItem = lastFullReadItem
blockratio = 1
for comp in self.LayerReaderD:
if self.LayerReaderD[comp]['lins'] == maxlins:
self.LayerReaderD[comp]['imgsize'] = imgSize
self.LayerReaderD[comp]['blocklines'] = blocklines
self.LayerReaderD[comp]['blocksize'] = blockSize
self.LayerReaderD[comp]['blockratio'] = blockratio
self.LayerReaderD[comp]['readitems'] = readitems
self.LayerReaderD[comp]['lastBlockLines'] = lastBlockLines
self.LayerReaderD[comp]['lastFullReadItem'] = lastFullReadItem
lastBlockSize = imgSize - (readitems-1)*blockSize
print ('imgSize',imgSize)
print ('readitems',readitems)
print ('blockSize',blockSize)
print ('readitems*blockSize',readitems*blockSize)
print ('lastBlockSize',lastBlockSize)
self.LayerReaderD[comp]['lastBlockSize'] = lastBlockSize
#Set the destimation geoformat after the largest input
self.geoDstFormatD = self.geoFormatD[comp]
def _SetReadBlocks(self,lins,cols,blocklines):
imgSize = lins*cols
blockSize = cols*blocklines
readitems = int(lins/blocklines)
if readitems < lins/blocklines:
lastFullReadItem = readitems
lastBlockSize = imgSize - readitems*blockSize
lastBlockLines = int(lastBlockSize/cols)
readitems += 1
else:
lastBlockLines = 0
lastFullReadItem = readitems + blocklines #never reached
return (imgSize, blockSize, readitems, lastBlockLines, lastFullReadItem)
def _CreateDstNullArrays(self,dstcompL,n=0):
'''Create null arrays for each destination layer
'''
self.dstNullDarr = {}
for dstcomp in dstcompL:
cellnull = self.process.proc.dstcompD[dstcomp]['cellnull']
if not n:
n = len(self.dstDateD[dstcomp])
self.dstNullDarr[dstcomp] = np.ones(n, np.float32)
self.dstNullDarr[dstcomp] *= cellnull
def _ReadSrcBlock(self,locus,comp,blockSize,blockLines):
'''Blockread the source data
'''
#all processing as Float 32
self.srcRD[comp] = np.ones( ( len(self.process.srcperiod.datumL), blockSize), np.float32)
self.srcRD[comp] *= self.srcCellNullD[comp]
x = 0
for datum in self.process.srcLayerD[locus]:
if not self.process.srcLayerD[locus][datum]:
#Fill in with null- no null already set
print (' missing datum', datum)
NOLONGER #missing layer = False set at comp level instead
else:
if self.process.srcLayerD[locus][datum][comp]:
if self.process.srcLayerD[locus][datum][comp].copy:
copydatum = self.AcqDateStrSrcLayerD[datum]
srcDatum = self.LayerForAcqDateStrD[copydatum]
self.srcRD[comp][x] = self.process.srcLayerD[locus][srcDatum][comp].layer.NPBLOCK
else:
startlin = int(self.wl/self.LayerReaderD[comp]['blockratio'])
readcols = self.LayerReaderD[comp]['cols']
#self.process.srcLayerD[locus][datum][comp].layer.ReadBlock(0,self.wl,self.cols,self.blocklines)
self.process.srcLayerD[locus][datum][comp].layer.ReadBlock(0,startlin,readcols,blockLines)
#print (comp,startlin,readcols,blocklines)
#print (self.process.srcLayerD[locus][datum][comp].layer.NPBLOCK.shape)
self.srcRD[comp][x] = self.process.srcLayerD[locus][datum][comp].layer.NPBLOCK
'''
print (self.srcRD[comp][x])
print (self.srcRD[comp][x].shape)
print ('readcols',readcols)
print ('blocklines',blocklines)
SNULLE
'''
else:
pass
#print ('no layer file, nodata prevails', locus, datum, comp)
x += 1
def _CheckDstRasterFiles(self):
'''Check if the destination layers already exist
'''
self.SkipLocus = True
for datum in self.process.dstLayerD[self.locus]:
for comp in self.process.dstLayerD[self.locus][datum]:
if not self.process.dstLayerD[self.locus][datum][comp]._Exists() or self.process.overwrite:
self.SkipLocus = False
return
elif path.isfile(self.process.dstLayerD[self.locus][datum][comp].FPN):
self.session._InsertLayer(self.process.dstLayerD[self.locus][datum][comp],self.process.overwrite,self.process.delete)
def _CreateOpenDstRasterFiles(self, locus):
'''Create and open the destimation layers
'''
for datum in self.process.dstLayerD[locus]:
for comp in self.process.dstLayerD[locus][datum]:
#print (' creating dstcomp',comp,datum,self.process.dstLayerD[locus][datum][comp].FPN)
#Transfer the geoformat for this locus
for item in self.geoDstFormatD:
setattr(self.process.dstLayerD[locus][datum][comp], item, self.geoDstFormatD[item])
if not self.process.dstLayerD[locus][datum][comp]._Exists() or self.process.overwrite:
#TGTODO THIS IS A FUNCTION OF THE LAYER!!
self.process.dstLayerD[locus][datum][comp].dstDS = mj_gis.RasterCreateWithFirstLayer(self.process.dstLayerD[locus][datum][comp].FPN, self.process.dstLayerD[locus][datum][comp])
self.dstDateD[comp].append(datum)
else:
#print ('insert',self.process.dstLayerD[locus][datum][comp].FPN)
self.session._InsertLayer(self.process.dstLayerD[locus][datum][comp],self.process.overwrite,self.process.delete)
self.process.dstLayerD[locus][datum][comp] = False
self.dstDateD[comp].append(False)
def _CloseDstRasterFiles(self, locus):
'''Close the created destination layers
'''
for datum in self.process.dstLayerD[locus]:
for comp in self.process.dstLayerD[locus][datum]:
if self.process.dstLayerD[locus][datum][comp]:
print ('closing',self.process.dstLayerD[locus][datum][comp].FPN)
self.process.dstLayerD[locus][datum][comp].dstDS.CloseDS()
self.session._InsertLayer(self.process.dstLayerD[locus][datum][comp],self.process.overwrite,self.process.delete)
self.process.dstLayerD[locus][datum][comp] = None
def _SetNumbaArrayReaderOld(self,locus):
'''Creates a dict that list which np array columns should be resampled to which output
'''
self.arrIO = {}
self.numbaStartCol = []
self.numbaEndCol = []
self.numbaCols = []
if self.process.srcperiod.timestep == 'D':
#self.srcAcqDateL = [mj_dt.yyyymmddDate(item) for item in self.process.srcperiod.datumL]
srcStrDateL= self.srcDateL
srcDateL = [mj_dt.yyyymmddDate(item) for item in self.process.srcperiod.datumL]
elif self.process.srcperiod.timestep[-1] == 'D':
srcAcqDateL = [mj_dt.yyyydoyDate(item) for item in self.process.srcperiod.datumL]
srcStrDateL = [mj_dt.DateToStrDate(item) for item in srcAcqDateL]
firstYYYYDOY = self.process.srcperiod.datumL[0]
lastYYYYDOY = self.process.srcperiod.datumL[-1]
firstdate = mj_dt.yyyydoyDate(firstYYYYDOY)
lastdate = mj_dt.yyyydoyDate(lastYYYYDOY)
srcDateL = mj_dt.DateRange(firstdate,lastdate)
else:
BALLE
pddates = to_datetime(srcStrDateL, format='%Y%m%d')
self.pddates = pddates.to_pydatetime()
AcqSteps = []
for d in pddates:
AcqSteps.append(mj_dt.DateDiff(d,pddates[0]))
self.AcqSteps = np.array( AcqSteps )
self.interpolSteps = np.array([j-i for i, j in zip(self.AcqSteps[:-1], self.AcqSteps[1:])])
self.interpolA = np.zeros( ( len(srcDateL) ), np.float32)
if self.process.dstperiod.timestep == 'M':
for y,dstDate in enumerate(self.dstDateL):
if self.process.dstperiod.datumD[dstDate]['acqdate']:
#For each date there is one starting and ending from the src data
startdate = self.process.dstperiod.datumD[dstDate]['acqdate']
enddate = mj_dt.AddMonth(startdate, 1)
#remove one day
enddate = mj_dt.DeltaTime(enddate, -1)
startflag = False
endflag = False
#XCheck which columns in the input array will belong to this output date!
for col,datum in enumerate(srcDateL):
end = col
if datum >= startdate and not startflag:
start = col
startflag = True
if datum >= enddate:
endflag = True
break
if not endflag:
'''
CHECKERROR
for date in self.srcDateDateL:
print (date)
print ('end',end)
'''
if self.process.proc.acceptmissing:
endflag = True
if not startflag:
CHECKERROR
if startflag and endflag:
self.arrIO[y] = {'start':start,'end':end, 'items':end-start+1}
self.numbaStartCol.append(start)
self.numbaEndCol.append(end+1)
cols = [y,start,end+1]
self.numbaCols.append(cols)
elif self.process.dstperiod.timestep[-1] == 'D':
deltadays = self.process.dstperiod.periodstep
for y,dstDate in enumerate(self.dstDateL):
if self.process.dstperiod.datumD[dstDate]['acqdate']:
#For each date there is one starting and ending from the src data
startdate = self.process.dstperiod.datumD[dstDate]['acqdate']
enddate = mj_dt.DeltaTime(startdate, deltadays-1)
startflag = False
endflag = False
#XCheck which columns in the input array will belong to this output date!
for col,datum in enumerate(srcDateL):
end = col
if datum >= startdate and not startflag:
start = col
startflag = True
if datum >= enddate:
endflag = True
break
if not endflag:
print (datum, 'start',start,'end',end,'items',end-start+1)
print (srcDateL[start:end])
CHECKERROR
if not startflag:
CHECKERROR
if startflag and endflag:
self.arrIO[y] = {'start':start,'end':end, 'items':end-start+1}
self.numbaStartCol.append(start)
self.numbaEndCol.append(end+1)
cols = [y,start,end+1]
self.numbaCols.append(cols)
print ('setting numbaCols',datum,cols,end-start+1,srcDateL[start:end])
else:
exit('Unknown timestep in SetNumbaArrayReader (timeseries.timeseries.py',self.process.dstperiod.timestep)
print (cols)
for cols in self.numbaCols:
print (cols)
def _SetNumbaArrayReader(self,locus):
'''Creates a dict that list which np array columns should be resampled to which output
'''
self.arrIO = {}
self.numbaStartCol = []
self.numbaEndCol = []
self.numbaCols = []
if self.process.srcperiod.timestep == 'D':
#self.srcAcqDateL = [mj_dt.yyyymmddDate(item) for item in self.process.srcperiod.datumL]
srcStrDateL= self.srcDateL
srcDateL = [mj_dt.yyyymmddDate(item) for item in self.process.srcperiod.datumL]
elif self.process.srcperiod.timestep[-1] == 'D':
srcAcqDateL = [mj_dt.yyyydoyDate(item) for item in self.process.srcperiod.datumL]
srcStrDateL = [mj_dt.DateToStrDate(item) for item in srcAcqDateL]
firstYYYYDOY = self.process.srcperiod.datumL[0]
lastYYYYDOY = self.process.srcperiod.datumL[-1]
firstdate = mj_dt.yyyydoyDate(firstYYYYDOY)
lastdate = mj_dt.yyyydoyDate(lastYYYYDOY)
srcDateL = mj_dt.DateRange(firstdate,lastdate)
else:
SNULLEBULLE
pddates = to_datetime(srcStrDateL, format='%Y%m%d')
self.pddates = pddates.to_pydatetime()
AcqSteps = []
for d in pddates:
AcqSteps.append(mj_dt.DateDiff(d,pddates[0]))
self.AcqSteps = np.array( AcqSteps )
self.interpolSteps = np.array([j-i for i, j in zip(self.AcqSteps[:-1], self.AcqSteps[1:])])
self.interpolA = np.zeros( ( len(srcDateL) ), np.float32)
if self.process.dstperiod.timestep == 'M':
for y,dstDate in enumerate(self.dstDateL):
if self.process.dstperiod.datumD[dstDate]['acqdate']:
#For each date there is one starting and ending from the src data
startdate = self.process.dstperiod.datumD[dstDate]['acqdate']
enddate = mj_dt.AddMonth(startdate, 1)
#remove one day
enddate = mj_dt.DeltaTime(enddate, -1)
startflag = False
endflag = False
#XCheck which columns in the input array will belong to this output date!
for col,datum in enumerate(srcDateL):
end = col
if datum >= startdate and not startflag:
start = col
startflag = True
if datum >= enddate:
endflag = True
break
if not endflag:
'''
CHECKERROR
for date in self.srcDateDateL:
print (date)
print ('end',end)
'''
if self.process.proc.acceptmissing:
endflag = True
if not startflag:
CHECKERROR
if startflag and endflag:
self.arrIO[y] = {'start':start,'end':end, 'items':end-start+1}
self.numbaStartCol.append(start)
self.numbaEndCol.append(end+1)
cols = [y,start,end+1]
self.numbaCols.append(cols)
elif self.process.dstperiod.timestep[-1] == 'D':
for i,d in enumerate(self.process.dstperiod.datumD):
firstdate = self.process.dstperiod.datumD[d]['firstdate']
lastdate = self.process.dstperiod.datumD[d]['lastdate']
acqdatestr = self.process.dstperiod.datumD[d]['acqdatestr']
#Loop over the srcdata to get start and end as columns
firstcol = srcDateL.index(firstdate)
if lastdate in srcDateL:
lastcol = srcDateL.index(lastdate)
self.arrIO[i] = {'start':firstcol,'end':lastcol, 'items':lastcol-firstcol+1}
self.numbaStartCol.append(firstcol)
self.numbaEndCol.append(lastcol+1)
cols = [i,firstcol,lastcol+1]
self.numbaCols.append(cols)
print ('setting numbaCols',acqdatestr,cols,lastcol-firstcol+1,srcDateL[firstcol:lastcol+1])
else:
print ('date can not be produced',acqdatestr,d)
#pop datum from date list and from locus
self.process.dstperiod.datumD.pop(d, None)
self.process.dstLayerD[locus].pop(d,None)
return
else:
exit('Unknown timestep in SetNumbaArrayReader (timeseries.timeseries.py',self.process.dstperiod.timestep)
print (cols)
for cols in self.numbaCols:
print (cols)
def _TSFillNoData(self):
'''Fill timeseries nodata by interpolation
'''
R = self.srcRD[self.srccomp]
Rr = np.apply_along_axis( self._FillAlongAxis, 0, R )
for x,row in enumerate(Rr):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _AverageTSPerDate(self):
'''Calculate timeseries average per season
'''
#nanmean not supported by numba at time of writing
#from geoimagine.ktnumba import AverageTSPerDateNumba
for x,comp in enumerate(self.srccompL):
if x == 0:
R = np.copy(self.srcRD[comp])
else:
R = np.dstack((R,self.srcRD[comp]))
Rr = np.nanmean( R, axis=2 )
Rr[np.isnan(Rr)] = self.dstNull
for x,row in enumerate(Rr):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _TSExtractSeason(self):
'''Extract timeseries seasonal signal
'''
R = self.srcRD[self.srccomp]
Rr = np.apply_along_axis( self._ExtractSeason, 0, R )
for x,row in enumerate(Rr):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _TSSeasonFill(self):
'''Interpolate null in seasonal data
'''
ts = self.srcRD[self.mainKey]
season = self.srcRD[self.seasonKey]
result = np.empty_like(ts.T)
for i,(x,y) in enumerate(zip(ts.T,season.T)):
result[i] = self._SeasonFill(x,y)
for x,row in enumerate(result.T):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _TSresampleDstep(self):
'''Resample timeseries with daily frequency
'''
R = self.srcRD[self.srccomp]
if self.process.params.method == 'avg':
Rr = np.apply_along_axis( self._ResampleDictPeriodAvg, 0, R )
elif self.process.params.method == 'sum':
Rr = np.apply_along_axis( self._ResampleDictPeriodSum, 0, R )
else:
exit('unrecoginized resample functon in _TSresampleDstep (timeseries.timeseries.py)',self.process.params.method)
for x,row in enumerate(Rr):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _TSresampleInterpolateDstep(self):
'''Resample timeseries temporal frequency
'''
R = self.srcRD[self.srccomp]
if self.process.params.method == 'avg':
Rr = np.apply_along_axis( self._ResampleInterpolPeriodAvg, 0, R )
elif self.process.params.method == 'sum':
Rr = np.apply_along_axis( self._ResampleInterpolPeriodSum, 0, R )
else:
exit('unrecoginized resample functon in _TSresampleDstep (timeseries.timeseries.py)',self.process.params.method)
for x,row in enumerate(Rr):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _TSresampleToAnnual(self):
'''Resample timeseries temporal frequency
'''
R = self.srcRD[self.srccomp]
if self.process.params.method == 'avg':
Rr = np.apply_along_axis( self._ResampleToAnnualAvg, 0, R )
elif self.process.params.method == 'sum':
Rr = np.apply_along_axis( self._ResampleToAnnualSum, 0, R )
else:
exit('unrecoginized resample functon in _TSresample (timeseries.timeseries.py)',self.process.params.method)
for x,row in enumerate(Rr):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _TStrendIni(self):
'''Initiate calculation of time series statistics
'''
ts = self.srcRD[self.srccomp]
self._TStrend(ts)
def _TStrend(self,ts):
'''Calculation of time series statistics
'''
if 'avg' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['avg']:
avg = np.apply_along_axis( self._OverAllAvg, 0, ts )
self._WriteBlock(avg,self.dstDatum,'avg')
if 'std' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['std']:
std = np.apply_along_axis( self._OverAllStd, 0, ts )
self._WriteBlock(std,self.dstDatum,'std')
if 'cov' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['cov']:
cov = np.apply_along_axis( self._OverAllCov, 0, ts )
cov[cov < -32768] = -32768
cov[cov > 32768] = 32768
self._WriteBlock(cov,self.dstDatum,'cov')
if 'acv' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['acv']:
anncov = np.apply_along_axis( self._InterAnnualCov, 0, ts )
anncov[anncov < -32768] = -32768
anncov[anncov > 32768] = 32768
self._WriteBlock(anncov,self.dstDatum,'anncov')
if 'mcv' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['mcv']:
monthcov = np.apply_along_axis( self._SeasonalCov, 0, ts )
monthcov[monthcov < -32768] = -32768
monthcov[monthcov > 32768] = 32768
self._WriteBlock(monthcov,self.dstDatum,'monthcov')
if 'mk' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['mk']:
self.mktsA = np.zeros( [5 , ts.shape[1] ], np.float32)
self.counter = -1
dummy = np.apply_along_axis( self._MKtestAlongAxis, 0, ts )
for item in self.mktsItemD:
self._WriteBlock(self.mktsA[self.mktsItemD[item]],self.dstDatum,item)
if 'ols' in self.dstcompL and self.process.dstLayerD[self.locus][self.dstDatum]['ols']:
self.olsA = np.zeros( [4 , ts.shape[1] ], np.float32)
self.counter = -1
dummy = np.apply_along_axis( self._OLSAlongAxis, 0, ts )
for item in self.olsItemD:
self._WriteBlock(self.olsA[self.olsItemD[item]],self.dstDatum,item)
def _WriteBlock(self,row,datum,dstcomp):
if self.blocklines == 1:
R2D = np.atleast_2d(row)
else:
R2D = np.reshape(row, (self.blocklines,-1))
self.process.dstLayerD[self.locus][datum][dstcomp].dstDS.WriteBlock(0,self.wl,R2D)
def _AutoCorr(self):
R = self.srcRD[self.srccomp]
self.lagL = []
for b in range( self.process.params.nlags):
self.lagL.append([])
if self.process.params.resampleseasonal:
#lag0 is just a dummy, the data is saveid in self.lagL
lag0 = np.apply_along_axis( self._SeasonalAutoCorr, 0, R, partial=self.process.params.partial)
else:
#lag0 is just a dummy, the data is saveid in self.lagL
lag0 = np.apply_along_axis( self._FullAutoCorr, 0, R, partial=self.process.params.partial)
#skip the first lag
for b in range(1,self.process.params.nlags):
row = np.array( self.lagL[b] )
row.round(decimals=6)
if self.blocklines == 1:
R2D = np.atleast_2d(row)
else:
R2D = np.reshape(row, (self.blocklines,-1))
datum = self.dstDateL[b-1]
self.process.dstLayerD[self.locus][datum][self.dstcomp].dstDS.WriteBlock(0,self.wl,R2D)
def _IndexCrossTrend(self):
self.allcrosscompsL = ['pearson','lag']
R = self.srcRD[self.srccomp]
self.dodecompose = False
#Create empty lists for holding decomposed data
if self.process.params.xcrossobserved:
self.obs = []
if self.process.params.xcrosstendency:
self.dodecompose = True
self.tendency = []
if self.process.params.xcrosseason:
self.dodecompose = True
self.fullseasons = []
if self.process.params.xcrossresidual:
self.dodecompose = True
self.residual = []
'''
#Create empty lists for holding decomposed data
self.tendency = []
self.obs = []
self.fullseasons = []
self.residual = []
self.seasons = []
'''
#Set the dict for storing the results
self.xcross ={}
for i in self.indexD:
for x in self.process.proc.paramsD['xcrosscompsL']:
for y in self.allcrosscompsL:
band ='%(x)s-%(l)s-%(i)s' %{'x':x, 'l':y,'i':i}
self.xcross[band] = []
dummy = np.apply_along_axis( self._IndexCrossTrendsAlongAxis, 0, R )
self._IndexCompTrends()
def _LayerCrossTrend(self):
self.allcrosscompsL = ['pearson','lag']
MASTER = self.srcRD[self.idD['master']]
SLAVE = self.srcRD[self.idD['slave']]
#The setting of dodecompose should be moved to above
self.dodecompose = False
#Create empty lists for holding decomposed data
if self.process.params.xcrossobserved:
self.obs_master = []
self.obs_slave = []
if self.process.params.xcrosstendency:
self.dodecompose = True
self.tendency_master = []
self.tendency_slave = []
if self.process.params.xcrosseason:
self.dodecompose = True
self.fullseasons_master = []
self.fullseasons_slave = []
if self.process.params.xcrossresidual:
self.dodecompose = True
self.residual_master = []
self.residual_slave = []
#self.seasons_master = []
#self.seasons_slave = []
#Set the dict for storing the results
self.xcross ={}
for x in self.process.proc.paramsD['xcrosscompsL']:
for y in self.allcrosscompsL:
band ='%(x)s-%(l)s' %{'x':x, 'l':y}
self.xcross[band] = []
for col in range(MASTER.shape[1]):
m = MASTER[:,col]
if np.isnan(np.sum(m)):
self._LayerXCorrSetTStoNull()
continue
s = SLAVE[:,col]
if np.isnan(np.sum(s)):
self._LayerXCorrSetTStoNull()
continue
self._LayerXCorrDecomposeTS(m,s)
self._LayerCompTrends()
def _IndexCompTrends(self):
'''
'''
for x in self.process.proc.paramsD['xcrosscompsL']:
if x == 'season':
A = np.transpose(np.array(self.fullseasons))
elif x == 'residual':
A = np.transpose(np.array(self.residual))
elif x == 'obs':
A = np.transpose(np.array(self.obs))
elif x == 'tendency':
A = np.transpose(np.array(self.tendency))
else:
print (x)
exit('no such decomposition component',x)
for i in self.indexD:
self.xcross = {}
self.xcross['lag'] = []
self.xcross['pearson'] = []
if self.process.params.normalize:
self.Inorm = ( self.indexD[i][x] - np.average(self.indexD[i][x]) ) / (np.std(self.indexD[i][x]))
else:
self.Inorm = self.indexD[i][x]
#apply_along_axis returns a dummy, the values are stored in the self.xcross dict
dummy = np.apply_along_axis( self._IndexXCorr, 0, A )
for y in self.process.proc.paramsD['xcrossdstL']:
band ='%(x)s-%(l)s-%(i)s' %{'x':x, 'l':y,'i':i}
if self.process.dstLayerD[self.locus][self.dstDatum][band]:
row = np.array(self.xcross[y])
self._WriteBlock(row,self.dstDatum,band)
def _LayerCompTrends(self):
'''
'''
for x in self.process.proc.paramsD['xcrosscompsL']:
if x == 'obs':
M = np.transpose(np.vstack(self.obs_master))
S = np.transpose(np.vstack(self.obs_slave))
elif x == 'season':
M = np.transpose(np.vstack(self.fullseasons_master))
S = np.transpose(np.vstack(self.fullseasons_slave))
elif x == 'residual':
M = np.transpose(np.vstack(self.residual_master))
S = np.transpose(np.vstack(self.residual_slave))
elif x == 'tendency':
M = np.transpose(np.vstack(self.tendency_master))
S = np.transpose(np.vstack(self.tendency_slave))
else:
exit('no such decomposition component',x)
self.xcross = {}
self.xcross['lag'] = []
self.xcross['pearson'] = []
for col in range(M.shape[1]):
mArr = M[:,col]
sArr = S[:,col]
'''
print ('column',col)
print ('mArr',mArr[0:10])
print ('sArr',sArr[0:10])
'''
self._LayerXCorr(mArr,sArr)
for y in self.process.proc.paramsD['xcrossdstL']:
band ='%(x)s-%(l)s' %{'x':x, 'l':y}
row = np.array(self.xcross[y])
if self.blocklines == 1:
R2D = np.atleast_2d(row)
else:
R2D = np.reshape(row, (self.blocklines,-1))
self.process.dstLayerD[self.locus][self.dstDatum][band].dstDS.WriteBlock(0,self.wl,R2D)
#And then run the fixed analysis
for lag in self.process.proc.paramsD['xcrossLagL']:
self.xcorr = []
for col in range(M.shape[1]):
mArr = M[:,col]
sArr = S[:,col]
self._LayerCrossCorrFixedLag(mArr,sArr,lag)
band ='%(x)s-pearson-lag%(l)s' %{'x':x, 'l':lag}
row = np.array(self.xcorr)
if self.blocklines == 1:
R2D = np.atleast_2d(row)
else:
R2D = np.reshape(row, (self.blocklines,-1))
self.process.dstLayerD[self.locus][self.dstDatum][band].dstDS.WriteBlock(0,self.wl,R2D)
def _SetAssimilation(self):
MASTER = self.srcRD[self.idD['master']]
if self.process.params.scalefac != 1:
MASTER *= self.process.params.scalefac
if self.process.params.offsetadd:
MASTER += self.process.params.offsetadd
SLAVE = self.srcRD[self.idD['slave']]
mstAvg = np.apply_along_axis( self._OverAllNanMean, 0, MASTER )
mstStd = np.apply_along_axis( self._OverAllNanStd, 0, MASTER )
slvAvg = np.apply_along_axis( self._OverAllNanMean, 0, SLAVE )
slvStd = np.apply_along_axis( self._OverAllNanStd, 0, SLAVE )
stdrat = mstStd/slvStd
stdrat[np.isnan(stdrat)] = self.dstNullD['stdrat']
stdrat[np.isnan(mstAvg)] = self.dstNullD['stdrat']
stdrat[np.isnan(slvAvg)] = self.dstNullD['stdrat']
stdrat[mstStd <= 0] = self.dstNullD['stdrat']
stdrat[slvStd <= 0] = self.dstNullD['stdrat']
#write to files
mstAvg[np.isnan(mstAvg)] = self.dstNullD['mstavg']
self._WriteBlock(mstAvg,self.dstDateL[0],'mstavg' )
slvAvg[np.isnan(slvAvg)] = self.dstNullD['slvavg']
self._WriteBlock(slvAvg,self.dstDateL[0],'slvavg' )
self._WriteBlock(stdrat,self.dstDateL[0],'stdrat' )
def _Assimilate(self):
SLAVE = self.srcRD[self.idD['slave']]
#self.mstAvg = self.srcRD[self.idD['mstavg']][:,0]
#self.slvAvg = self.srcRD[self.idD['slvavg']][:,0]
#self.stdrat = self.srcRD[self.idD['stdrat']][:,0]
self.mstAvg = self.srcRD[self.idD['mstavg']][0,:]
self.slvAvg = self.srcRD[self.idD['slvavg']][0,:]
self.stdrat = self.srcRD[self.idD['stdrat']][0,:]
self.counter = 0
ASSIM = np.apply_along_axis( self._AssimAlongAxis, 0, SLAVE )
#Set the dstnull
ASSIM[np.isnan(SLAVE)] = self.dstNull
for x,row in enumerate(ASSIM):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _AssimAlongAxis(self, ts):
'''
'''
if np.isnan(self.stdrat[self.counter]):
self.counter += 1
return ts
if self.kernel:
ts = np.convolve(ts, self.kernel, mode='same')
a = ts-self.slvAvg[self.counter]
#multiply with std ratio factor
a = a*self.stdrat[self.counter]
#add the master mean
a = a + self.mstAvg[self.counter]
#add one to counter to get to next cell
if self.process.params.assimfrac < 1.0:
a = a*self.process.params.assimfrac+ts*(1-self.process.params.assimfrac)
if self.threshold:
a = np.where(ts > self.maxthreshold,ts,a)
a = np.where(ts < self.minthreshold,ts,a)
#a[ts > self.maxthreshold] = ts
#a[ts < self.minthreshold] = ts
a[a < self.process.params.dstmin] = self.process.params.dstmin
a[a > self.process.params.dstmax] = self.process.params.dstmax
self.counter += 1
return a
def _AssimilateDownscale(self):
SLAVE = self.srcRD[self.idD['slave']]
self.mstAvg = self.srcRD[self.idD['mstavg']][0,:]
self.slvAvg = self.srcRD[self.idD['slvavg']][0,:]
self.stdrat = self.srcRD[self.idD['stdrat']][0,:]
ASSIM = np.apply_along_axis( self._AssimDownscaleAlongAxis, 1, SLAVE )
#Set the dstnull
ASSIM[np.isnan(SLAVE)] = self.dstNull
for x,row in enumerate(ASSIM):
datum = self.dstDateL[x]
if datum:
self._WriteBlock(row,datum,self.dstcomp)
def _AssimDownscaleAlongAxis(self,region):
'''This is done per region, not per date
'''
cell = region.reshape(-1,self.LayerReaderD[self.idD['slave']]['cols'])
assim = cell.copy()
l = self.LayerReaderD[self.idD['slave']]['blocklines']
for col in range(self.LayerReaderD[self.idD['slave']]['readitems']):
c = col*l
#rect = np.copy(cell[c:c+l,0:l])
rect = np.copy(cell[0:l,c:c+l])
if np.isnan(self.stdrat[col]):
#assim[c:c+l,0:l] = rect
assim[0:l,c:c+l] = rect
else:
#remove the slave mean
a = rect-self.slvAvg[col]
#multiply with std ratio factor
a = a*self.stdrat[col]
#add the master mean
a = a + self.mstAvg[col]
#Fill in the downscaled data
assim[0:l,c:c+l] = a
if self.process.params.assimfrac < 1.0:
assim = assim*self.process.params.assimfrac+cell*(1-self.process.params.assimfrac)
if self.threshold:
assim = np.where(cell > self.maxthreshold,cell,assim)
assim = np.where(cell < self.minthreshold,cell,assim)
assim[assim < self.process.params.dstmin] = self.process.params.dstmin
assim[assim > self.process.params.dstmax] = self.process.params.dstmax
return assim.flatten()
</s>
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<s> DUMMERSTON, Vt. -- In the grand tradition of the loopy conservative patriarchy, right up there with Ronald Reagan's 1981 comment, "Trees cause more pollution than automobiles do," we now have Homeland Security Chairman Michael Chertoff arguing that "illegal migrants really degrade the environment."
Speaking on Monday in defense of the loathsome Mexican-American
border wall, he said, "I've seen pictures of human waste, garbage,
discarded bottles and other human artifacts in pristine areas. And believe
me, that is the worst thing you can do to the environment."
While it's hard to take any conservative Republican seriously when
he talks about preserving the environment (words that come easily to mind
are Big Oil, destroying the Alaska wilderness, burning coal, nuclear power
and auto emissions), this one takes the cake.
I'm not saying that liberals are always the good guys, but why do
conservatives need to feel virulent hatred for some other group before they
can feel good about themselves?
Is it penis size? Is it an inherent personality trait? Is it
massive insecurity? Is it guilt over the enormous damage they've caused
over the years?
It would be easy to say they're just narcissists who feel that
they're better than everyone else. (Dick Cheney springs to mind; Bush only
feels better than everyone else because he's a spoiled rotten rich kid, but
Cheney's arrogance is of an entirely different nature and degree.)
It's true that most tribes, at the dawn of their individual
civilizations, call themselves "us" or "the people." Everyone else becomes
"the other," or possibly "the enemy." But wasn't Western civilization
supposed to have moved beyond that a long, long time ago?
I first heard the word "demonizing" in regard to what happened -
deservedly - to Richard Nixon's presidency, but hatred has a long and ugly
history in America. The many outrages of slavery made it easy to demonize
African-Americans. It happens even among the incredibly wealthy. In the
Gilded Age, Mrs. Astor built a ballroom that could only hold 400 people,
and so "The 400" became the social elite who excluded all the rest. The
Chinese were demonized in the West when they came to build the railroads.
In the East, it was the Irish. In my grandparents' time, Eastern European
Jews were demonized. In fact, Jews have been demonized for most of the
5,768 years we've been around. (That Jews have turned around and demonized
the Palestinians is a topic for another column.)
When I was growing up, Jews and "coloreds" were the targets -
remember the iconic photograph of Southern water fountains labeled "white"
and "colored?" Perhaps African-Americans, however, have finally escaped
their chains. Just recently, Bill O'Reilly visited Sylvia's, the famous
Harlem soul food restaurant, and he couldn't get over how the patrons were
acting. "There wasn't one person in Sylvia's who was screaming, 'M-Fer, I
want more iced tea,'" O'Reilly said. "They are just like us now."
The great chain of demonization continued when, thanks to Betty
Friedan, we realized that women weren't being treated all that well. Soon
after? Enter the "feminazi." And when the conservatives weren't raging
about uppity women -and, although I dislike Hillary Clinton's politics, I
do enjoy watching the conservatives having apoplexy while talking about
her - they were ranting about welfare mothers.
Next up to be demonized were homosexuals. The white Christian
conservative patriarchy got a lot of brutal mileage out of hating them.
However, homophobia, outside of fundamentalist Christian thinking, Congress
and, possibly, the U.S. Supreme Court, seems to have calmed down. The gays
have become mainstreamed. Instead of wearing thongs, wigs and feathers and
parading down Fifth Avenue, they started getting married, raising children,
and even joining the Republican party.
Who can be demonized next? Who must the conservatives hate to make
themselves feel better and reaffirm their superior status?
Illegal immigrants, that's who. They are "degrading the
environment." They are corrupting our economy! (In my mind, at least, they
may be the only ones holding it up). They're brown-skinned! They don't
speak English! They may get sick and use our hospitals! They have too many
babies! Oh my God! Hate! Hate! Hate!
Eventually, this becomes a zero-sum game because every
newly-identified and stigmatized group in America ultimately becomes
mainstreamed. (Hasn't Chertoff seen "Ugly Betty"?)
Demonization has become a national way of life. It's also become
the national way of death. Everybody hates somebody somewhere, to
paraphrase Dean Martin. The conservatives demonized Saddam Hussein in order
to invade his country. Now they're in the process of demonizing Mahmoud
Ahmadinejad so they can invade his. They can't really win a war with, or
even occupy, these countries. They're just striking out blindly.
Exporting our hatred has becomes an ugly and bloody American
reality that will kill hundreds of thousands and destroy our national soul.
Whether we quote the Lord as he spoke to Moses, "Thou shalt love
thy neighbor as thyself," or the Beatles - "All you need is love" - if
America doesn't soon find its heart and extend its hand, the world will
demonize us and we will be doomed.
A collection of Joyce Marcel's columns, "A Thousand Words
or Less," is available through joycemarcel.com. And write her at
mailto:[email protected].</s>
|
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<s> <div class="container">
<% @repos.each do |repo| %>
<div class="panel-group" id="accordion" role="tablist" aria-multiselectable="true">
<div class="panel panel-default">
<div class="panel-heading" role="tab" id="<%= repo.name %>-heading">
<h4 class="panel-title">
<a role="button" data-toggle="collapse" data-parent="#accordion" href="#<%= repo.name %>" aria-expanded="true" aria-controls="<%= repo.name %>">
<%= link_to repo.name, user_apirepo_path(current_user.nickname, repo.name) %>
</a>
</h4>
</div>
</div>
</div>
<% end %>
</s>
|
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<s> Basically, the script is provided when the transaction is redeemed, rather than when it is created. When the transaction is created, only the hash is provided so that they network can verify that the script provided at redemption is the right scriptwell, first off, your chart shows a bottoming out in early july and growth since then. the level it shows right now is equivalent to mid-may (*just from a fast lookover, based mostly on 'other' and 'united states' nodes)
second off, slowing down of confirmation speeds would be related to the # of transactions, # of people not including transaction fees, # of blocks being solved, # of transactions pools are including in blocks. the # of connectable IP addresses has a negligible effect. the only time it may factor in is if you're on a terribly slow connection which may cause your transaction to propagate a second or two slower than it would have with 15000 nodes, and in those one or two seconds, a block was solved (which also would have happened to have included your transactionoh, and i think you'd find it far more likely that it's due to the blockchain being unwieldy for many ppl's machines (i think these days a lot of people dont even have desktops. imagine that)
re: use wallet service.This still doesn't make sense. Or else it would mean the average output of a transaction is 12 billion BTC(!) It sounds like your calculation is off by a factor of 100 million (you counted satoshis instead of coins). IOW in 2012 the total tx output is only 608.96 million BTC, making the average output of a transaction 122 BTC.</s>
|
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] |
<s> package com.example.gxgod.graduationproject.adapter;
import android.app.Activity;
import android.content.Context;
import android.content.Intent;
import android.graphics.drawable.BitmapDrawable;
import android.util.Log;
import android.view.Gravity;
import android.view.LayoutInflater;
import android.view.View;
import android.view.ViewGroup;
import android.view.WindowManager;
import android.widget.BaseAdapter;
import android.widget.BaseExpandableListAdapter;
import android.widget.ExpandableListView;
import android.widget.ImageButton;
import android.widget.ImageView;
import android.widget.PopupWindow;
import android.widget.TextView;
import com.bumptech.glide.Glide;
import com.bumptech.glide.load.engine.DiskCacheStrategy;
import com.example.gxgod.graduationproject.R;
import com.example.gxgod.graduationproject.activity.AlbumPage;
import com.example.gxgod.graduationproject.activity.MyPhotoPage;
import com.example.gxgod.graduationproject.entry.AlbumEntry;
import com.example.gxgod.graduationproject.service.PhotoService;
import java.util.ArrayList;
import java.util.List;
import retrofit2.Retrofit;
import retrofit2.adapter.rxjava.RxJavaCallAdapterFactory;
import retrofit2.converter.gson.GsonConverterFactory;
import retrofit2.converter.scalars.ScalarsConverterFactory;
import rx.android.schedulers.AndroidSchedulers;
import rx.functions.Action0;
import rx.functions.Action1;
import rx.schedulers.Schedulers;
/**
* Created by Administrator on 2017/4/1 0001.
*/
public class TreeListAdapter extends BaseExpandableListAdapter implements ExpandableListView.OnChildClickListener, ExpandableListView.OnGroupClickListener {
private Retrofit retrofit;
private List<String> groupList;
private Context context;
private List<AlbumEntry> dataList;
private List<AlbumEntry> collectionList;
private PopupWindow popupWindow;
public TreeListAdapter(List<String> groupList, Context context) {
this.groupList = groupList;
this.context = context;
retrofit = new Retrofit.Builder().baseUrl("http://192.168.191.1:8080/project/").addConverterFactory(GsonConverterFactory.create())
.addCallAdapterFactory(RxJavaCallAdapterFactory.create()).build();
dataList = new ArrayList<>();
collectionList = new ArrayList<>();
}
private void loadMyAlbumData() {
String userId =context.getSharedPreferences("info", Context.MODE_PRIVATE).getString("userId", "0");
retrofit.create(PhotoService.class).loadAlbumData(userId,userId)
.subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(new Action1<List<AlbumEntry>>() {
@Override
public void call(List<AlbumEntry> albumEntries) {
dataList = albumEntries;
}
}, new Action1<Throwable>() {
@Override
public void call(Throwable throwable) {
}
}, new Action0() {
@Override
public void call() {
notifyDataSetChanged();
}
});
}
private void loadCollectionData() {
retrofit.create(PhotoService.class).loadCollectionData(context.getSharedPreferences("info", Context.MODE_PRIVATE).getString("userId", "0"))
.subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(new Action1<List<AlbumEntry>>() {
@Override
public void call(List<AlbumEntry> albumEntries) {
collectionList = albumEntries;
}
}, new Action1<Throwable>() {
@Override
public void call(Throwable throwable) {
}
}, new Action0() {
@Override
public void call() {
notifyDataSetChanged();
}
});
}
@Override
public int getGroupCount() {
return groupList.size();
}
@Override
public int getChildrenCount(int groupPosition) {
switch (groupPosition) {
case 0:
return 0;
case 1:
return dataList.size();
case 2:
return collectionList.size();
default:
return 0;
}
}
@Override
public Object getGroup(int groupPosition) {
return null;
}
@Override
public Object getChild(int groupPosition, int childPosition) {
return null;
}
@Override
public long getGroupId(int groupPosition) {
return groupPosition;
}
@Override
public long getChildId(int groupPosition, int childPosition) {
return childPosition;
}
@Override
public boolean hasStableIds() {
return true;
}
@Override
public View getGroupView(int groupPosition, boolean isExpanded, View convertView, ViewGroup parent) {
GroupViewHolder groupViewHolder;
if (convertView == null) {
convertView = LayoutInflater.from(context).inflate(R.layout.list_group, parent, false);
groupViewHolder = new GroupViewHolder();
groupViewHolder.tv = (TextView) convertView.findViewById(R.id.list_group_tv);
groupViewHolder.iv = (ImageView) convertView.findViewById(R.id.list_group_iv);
convertView.setTag(groupViewHolder);
} else
groupViewHolder = (GroupViewHolder) convertView.getTag();
switch (groupPosition) {
case 0:
Glide.with(context).load(R.drawable.list_pic).into(groupViewHolder.iv);
break;
case 1:
Glide.with(context).load(R.drawable.list_album).into(groupViewHolder.iv);
break;
case 2:
Glide.with(context).load(R.drawable.list_collection).into(groupViewHolder.iv);
break;
}
groupViewHolder.tv.setText(groupList.get(groupPosition));
return convertView;
}
@Override
public View getChildView(int groupPosition, int childPosition, boolean isLastChild, View convertView, ViewGroup parent) {
ChildViewHolder childViewHolder;
if (convertView == null) {
convertView = LayoutInflater.from(context).inflate(R.layout.list_chilid, parent, false);
childViewHolder = new ChildViewHolder();
childViewHolder.iv = (ImageView) convertView.findViewById(R.id.list_child_iv);
childViewHolder.tv = (TextView) convertView.findViewById(R.id.list_child_tv);
childViewHolder.ib= (ImageButton) convertView.findViewById(R.id.option_button);
convertView.setTag(childViewHolder);
} else
childViewHolder = (ChildViewHolder) convertView.getTag();
if (groupPosition == 1) {
childViewHolder.ib.setVisibility(View.VISIBLE);
childViewHolder.ib.setFocusable(false);
setImageButtonOnClick(childViewHolder.ib,childPosition);
if (dataList.get(childPosition).getUrl().equals("fail"))
Glide.with(context).load(R.drawable.empty).into(childViewHolder.iv);
else
Glide.with(context).load(dataList.get(childPosition).getUrl()).diskCacheStrategy(DiskCacheStrategy.SOURCE)
.override(400, 300).thumbnail(0.1f).into(childViewHolder.iv);
childViewHolder.tv.setText(dataList.get(childPosition).getName());
} else if (groupPosition == 2) {
childViewHolder.ib.setVisibility(View.GONE);
if (collectionList.get(childPosition).getUrl().equals("fail"))
Glide.with(context).load(R.drawable.empty).into(childViewHolder.iv);
else
Glide.with(context).load(collectionList.get(childPosition).getUrl()).diskCacheStrategy(DiskCacheStrategy.SOURCE)
.override(400, 300).thumbnail(0.1f).into(childViewHolder.iv);
childViewHolder.tv.setText(collectionList.get(childPosition).getName());
}
return convertView;
}
private void setImageButtonOnClick(ImageButton ib, final int childPosition) {
ib.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
initPopupWindow(childPosition);
}
});
}
public void setBackgroundAlpha(float bgAlpha) {
WindowManager.LayoutParams lp = ((Activity) context).getWindow()
.getAttributes();
lp.alpha = bgAlpha;
((Activity) context).getWindow().setAttributes(lp);
}
private void initPopupWindow(final int childPosition) {
View popupWindowView = LayoutInflater.from(context).inflate(R.layout.tree_popupwindow,null);
popupWindow = new PopupWindow(popupWindowView, ViewGroup.LayoutParams.MATCH_PARENT, ViewGroup.LayoutParams.WRAP_CONTENT, true);
popupWindow.setOutsideTouchable(true);
popupWindow.setBackgroundDrawable(new BitmapDrawable());
popupWindow.setAnimationStyle(R.style.anim_menu_bottombar);
popupWindow.setOnDismissListener(new PopupWindow.OnDismissListener() {
@Override
public void onDismiss() {
setBackgroundAlpha(1.0f);
}
});
popupWindow.showAtLocation(LayoutInflater.from(context).inflate(R.layout.fragment_home,null), Gravity.BOTTOM|Gravity.CENTER_HORIZONTAL,0,0);
setBackgroundAlpha(0.5f);
TextView deleteButton = (TextView) popupWindowView.findViewById(R.id.deleteAlbumButton);
deleteButton.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
deleteAlbum(childPosition);
}
});
}
private void deleteAlbum(final int childPosition) {
Retrofit retrofit=new Retrofit.Builder().baseUrl("http://192.168.191.1:8080/project/").addCallAdapterFactory(RxJavaCallAdapterFactory.create())
.addConverterFactory(ScalarsConverterFactory.create()).build();
retrofit.create(PhotoService.class).deleteAlbum(dataList.get(childPosition).getAlbumId())
.observeOn(AndroidSchedulers.mainThread())
.subscribeOn(Schedulers.io())
.subscribe(new Action1<String>() {
@Override
public void call(String s) {
}
}, new Action1<Throwable>() {
@Override
public void call(Throwable throwable) {
}
}, new Action0() {
@Override
public void call() {
dataList.remove(childPosition);
notifyDataSetChanged();
if (popupWindow.isShowing()) popupWindow.dismiss();
}
});
}
@Override
public boolean isChildSelectable(int groupPosition, int childPosition) {
return true;
}
@Override
public boolean onChildClick(ExpandableListView parent, View v, int groupPosition, int childPosition, long id) {
if (groupPosition == 1) {
Intent intent = new Intent(context, AlbumPage.class);
intent.putExtra("albumId", dataList.get(childPosition).getAlbumId());
intent.putExtra("url", dataList.get(childPosition).getUrl());
context.startActivity(intent);
}else if (groupPosition == 2){
Intent intent = new Intent(context,AlbumPage.class);
intent.putExtra("albumId",collectionList.get(childPosition).getAlbumId());
intent.putExtra("url",collectionList.get(childPosition).getUrl());
context.startActivity(intent);
}
return true;
}
@Override
public boolean onGroupClick(ExpandableListView parent, View v, int groupPosition, long id) {
if (groupPosition == 0) {
Intent intent = new Intent(context, MyPhotoPage.class);
context.startActivity(intent);
return true;
} else if (groupPosition == 1) {
loadMyAlbumData();
} else if (groupPosition == 2) {
loadCollectionData();
}
return false;
}
}
class GroupViewHolder {
ImageView iv;
TextView tv;
}
class ChildViewHolder {
ImageView iv;
TextView tv;
ImageButton ib;
}</s>
|
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1,
5673,
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59360,
59387,
59375,
5,
1724,
4440,
72,
2735,
72,
27713,
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5,
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30625,
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5524,
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6,
1893,
72,
7091,
8935,
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9738,
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59344,
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72,
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25200,
4181,
26855,
20615,
59358,
1496,
62,
59335,
3358,
5,
6,
59369,
5,
5,
59369,
5,
2
] |
<s> package Exercise_7;
import java.util.Scanner;
public class Kilometer_to_miles
{
public static void main(String[] args)
{
Scanner sc=new Scanner(System.in);
System.out.println("ENTER THE VALUE OF KILOMETER");
double d=sc.nextDouble();
sc.close();
double m=(d*0.62137);
System.out.println("VALUE IN MILES: "+m);
}
}
</s>
|