content
stringlengths 1
1.04M
| input_ids
sequencelengths 1
774k
| ratio_char_token
float64 0.38
22.9
| token_count
int64 1
774k
|
|---|---|---|---|
import string
from utils import *
IDEAL_Q_LENGTH = 10
MAX_SCORE = 17
class Ranker:
'''
Holds the ranking data structure for how questions are scored and sorted
The q_list becomes a max priority queue, with the max score at the front.
Properties:
q_list: (list(Question, int)) list tuples of unranked questions and scores
avg_coref_len: (int) average length of coref clusters
'''
| [
11748,
4731,
198,
6738,
3384,
4487,
1330,
1635,
198,
198,
14114,
1847,
62,
48,
62,
43,
49494,
796,
838,
198,
22921,
62,
6173,
6965,
796,
1596,
198,
198,
4871,
10916,
263,
25,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
9340,
82,
262,
12759,
1366,
4645,
329,
703,
2683,
389,
7781,
290,
23243,
198,
220,
220,
220,
383,
10662,
62,
4868,
4329,
257,
3509,
8475,
16834,
11,
351,
262,
3509,
4776,
379,
262,
2166,
13,
628,
220,
220,
220,
24946,
25,
198,
220,
220,
220,
220,
220,
220,
220,
10662,
62,
4868,
25,
357,
4868,
7,
24361,
11,
493,
4008,
1351,
12777,
2374,
286,
555,
28282,
2683,
290,
8198,
198,
220,
220,
220,
220,
220,
220,
220,
42781,
62,
7295,
69,
62,
11925,
25,
357,
600,
8,
2811,
4129,
286,
4755,
69,
23163,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198
] | 2.827815 | 151 |
from . import arduino
from . import platformio
from . import unsupported
| [
6738,
764,
1330,
610,
24493,
198,
6738,
764,
1330,
3859,
952,
198,
6738,
764,
1330,
24222,
198
] | 4.294118 | 17 |
"""
Create Profiles for existing Users
"""
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
def create_profiles(apps, schema_editor):
"""
Create Profiles for all users that do't have it
"""
Users = apps.get_model("auth", "User")
Profile = apps.get_model("profiles", "Profile")
for user in Users.objects.all():
if not hasattr(user, 'profile'):
Profile.objects.create(user=user)
| [
37811,
198,
16447,
4415,
2915,
329,
4683,
18987,
198,
37811,
198,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628,
198,
4299,
2251,
62,
5577,
2915,
7,
18211,
11,
32815,
62,
35352,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
13610,
4415,
2915,
329,
477,
2985,
326,
466,
470,
423,
340,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
18987,
796,
6725,
13,
1136,
62,
19849,
7203,
18439,
1600,
366,
12982,
4943,
198,
220,
220,
220,
13118,
796,
6725,
13,
1136,
62,
19849,
7203,
5577,
2915,
1600,
366,
37046,
4943,
628,
220,
220,
220,
329,
2836,
287,
18987,
13,
48205,
13,
439,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
468,
35226,
7,
7220,
11,
705,
13317,
6,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13118,
13,
48205,
13,
17953,
7,
7220,
28,
7220,
8,
628
] | 2.877193 | 171 |
import severus
| [
11748,
1750,
385,
628
] | 4 | 4 |
from threading import current_thread
from django.utils.deprecation import MiddlewareMixin
_requests = {}
| [
6738,
4704,
278,
1330,
1459,
62,
16663,
201,
198,
201,
198,
6738,
42625,
14208,
13,
26791,
13,
10378,
8344,
341,
1330,
6046,
1574,
35608,
259,
201,
198,
201,
198,
201,
198,
62,
8897,
3558,
796,
23884,
201,
198,
201,
198,
201,
198
] | 2.809524 | 42 |
import json
import pandas as pd
import os
def getDict(title, dict):
'''
获取一个子列表，并返回该列表
'''
for child in dict:
if child['title'] == title:
return child
return None
def readSingleCarFile(path):
'''
读位于allData目录下的单个车辆信息json文件
'''
with open(path) as f:
car_dict = json.load(f)
return {
'id': car_dict['dataRough']['baseInfo']['carOtherInfo']['clueId'], # clueId
'car_name': car_dict['dataRough']['carCommodityInfo']['basicInfo']['titleDesc'], # 车辆详细型号
'car_brand': car_dict['dataRough']['baseInfo']['carOtherInfo']['minorName'], # 车辆品牌
'car_tag': car_dict['dataRough']['baseInfo']['carOtherInfo']['tagName'], # 具体型号
'price': car_dict['dataRough']['carCommodityInfo']['carPriceInfo']['styleData']['price']['value'], # 二手车价格 单位：元
'new_price': car_dict['dataRough']['carCommodityInfo']['carPriceInfo']['styleData']['newPrice']['value'], # 新车价格 单位：元
'complexOutlook': car_dict['dataRough']['carCommodityInfo']['carRecordInfo']['reportResultAnalysis']['complex'] if 'reportResultAnalysis' in car_dict['dataRough']['carCommodityInfo']['carRecordInfo'] else None, # 整体成色，如果不存在该词条返回None
'firstCert': car_dict['dataRough']['carCommodityInfo']['carRecordInfo']['salienceItem'][0]['value'], # 首次上牌年月
'odograph': car_dict['dataRough']['carCommodityInfo']['carRecordInfo']['salienceItem'][1]['value'], # 表显里程
'allPower': car_dict['dataRough']['carCommodityInfo']['carRecordInfo']['summary'][2]['value'], # 总功率 单位kW
'carBelong': car_dict['dataRough']['carCommodityInfo']['carRecordInfo']['summary'][3]['value'], # 车牌归属地
'range': car_dict['dataRough']['carCommodityInfo']['carRecordInfo']['summary'][4]['value'], # 续航里程
'isDome': 1 if car_dict['dataDetail']['list'][0]['children'][1]['content'] == '国产' else 0, # 是否为国产
'wheelBase': getDict('车身结构', car_dict['dataDetail']['list'])['children'][0]['content'] if getDict('车身结构', car_dict['dataDetail']['list']) else None, # 轴距（mm）
'drivingMode': getDict('底盘转向', car_dict['dataDetail']['list'])['children'][0]['content'] if getDict('底盘转向', car_dict['dataDetail']['list']) else None, # 驱动方式
}
if __name__ == "__main__":
path = 'crawl_for_guazi/newData'
allCarFiles = os.listdir(path)
df = pd.DataFrame([])
for singleFileName in allCarFiles:
if '.json' not in singleFileName:
continue
singleCardict = readSingleCarFile(path + f'/{singleFileName}')
tempdf = pd.DataFrame(singleCardict, index=[0])
df = df.append(tempdf)
df = df.reset_index(drop = True)
# print(df.head())
# print(df.shape)
df.to_csv('crawl_for_guazi/newData.csv', index = False)
| [
11748,
33918,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
28686,
628,
198,
4299,
651,
35,
713,
7,
7839,
11,
8633,
2599,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
5525,
236,
115,
20998,
244,
31660,
10310,
103,
36310,
26344,
245,
26193,
101,
171,
120,
234,
33176,
114,
32573,
242,
32368,
252,
46237,
98,
26344,
245,
26193,
101,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
329,
1200,
287,
8633,
25,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1200,
17816,
7839,
20520,
6624,
3670,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
1200,
198,
220,
220,
220,
1441,
6045,
628,
198,
4299,
1100,
28008,
9914,
8979,
7,
6978,
2599,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
5525,
107,
119,
19526,
235,
12859,
236,
439,
6601,
33566,
106,
37605,
243,
10310,
233,
21410,
39355,
243,
10310,
103,
164,
121,
99,
164,
122,
228,
46479,
94,
162,
223,
107,
17752,
23877,
229,
20015,
114,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
351,
1280,
7,
6978,
8,
355,
277,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1097,
62,
11600,
796,
33918,
13,
2220,
7,
69,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
312,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
8692,
12360,
6,
7131,
6,
7718,
6395,
12360,
6,
7131,
6,
565,
518,
7390,
6,
4357,
1303,
18437,
7390,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7718,
62,
3672,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
35487,
12360,
6,
7131,
6,
7839,
24564,
6,
4357,
1303,
5525,
121,
99,
164,
122,
228,
46237,
99,
163,
119,
228,
161,
252,
233,
20998,
115,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7718,
62,
17938,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
8692,
12360,
6,
7131,
6,
7718,
6395,
12360,
6,
7131,
6,
1084,
273,
5376,
6,
4357,
1303,
5525,
121,
99,
164,
122,
228,
161,
241,
223,
31965,
234,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7718,
62,
12985,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
8692,
12360,
6,
7131,
6,
7718,
6395,
12360,
6,
7131,
6,
12985,
5376,
6,
4357,
1303,
10263,
227,
115,
19526,
241,
161,
252,
233,
20998,
115,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
20888,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
18124,
12360,
6,
7131,
6,
7635,
6601,
6,
7131,
6,
20888,
6,
7131,
6,
8367,
6,
4357,
1303,
220,
12859,
234,
33699,
233,
164,
121,
99,
20015,
115,
43718,
120,
10263,
235,
243,
19526,
235,
171,
120,
248,
17739,
225,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
3605,
62,
20888,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
18124,
12360,
6,
7131,
6,
7635,
6601,
6,
7131,
6,
3605,
18124,
6,
7131,
6,
8367,
6,
4357,
1303,
10545,
244,
108,
164,
121,
99,
20015,
115,
43718,
120,
10263,
235,
243,
19526,
235,
171,
120,
248,
17739,
225,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
41887,
7975,
5460,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
6,
7131,
6,
13116,
23004,
32750,
6,
7131,
6,
41887,
20520,
611,
705,
13116,
23004,
32750,
6,
287,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
20520,
2073,
6045,
11,
1303,
10545,
243,
112,
19526,
241,
22755,
238,
164,
231,
110,
171,
120,
234,
36685,
224,
162,
252,
250,
38834,
27764,
246,
28839,
101,
46237,
98,
46237,
235,
30266,
94,
32573,
242,
32368,
252,
14202,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
11085,
37608,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
6,
7131,
6,
21680,
1240,
7449,
6,
7131,
15,
7131,
6,
8367,
6,
4357,
1303,
16268,
99,
244,
162,
105,
94,
41468,
31965,
234,
33176,
112,
17312,
230,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
375,
2384,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
6,
7131,
6,
21680,
1240,
7449,
6,
7131,
16,
7131,
6,
8367,
6,
4357,
1303,
5525,
94,
101,
23626,
122,
34932,
234,
163,
101,
233,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
439,
13434,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
6,
7131,
6,
49736,
6,
7131,
17,
7131,
6,
8367,
6,
4357,
1303,
10545,
222,
119,
27950,
253,
163,
236,
229,
10263,
235,
243,
19526,
235,
74,
54,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7718,
12193,
506,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
6,
7131,
6,
49736,
6,
7131,
18,
7131,
6,
8367,
6,
4357,
1303,
5525,
121,
99,
31965,
234,
37605,
240,
161,
109,
252,
28839,
108,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
9521,
10354,
1097,
62,
11600,
17816,
7890,
49,
619,
6,
7131,
6,
7718,
6935,
375,
414,
12360,
6,
7131,
6,
7718,
23739,
12360,
6,
7131,
6,
49736,
6,
7131,
19,
7131,
6,
8367,
6,
4357,
1303,
13328,
119,
255,
48958,
103,
34932,
234,
163,
101,
233,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
271,
35,
462,
10354,
352,
611,
1097,
62,
11600,
17816,
7890,
11242,
603,
6,
7131,
6,
4868,
6,
7131,
15,
7131,
6,
17197,
6,
7131,
16,
7131,
6,
11299,
20520,
6624,
705,
32368,
121,
12859,
100,
6,
2073,
657,
11,
1303,
10545,
246,
107,
28938,
99,
10310,
118,
32368,
121,
12859,
100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
22001,
14881,
10354,
651,
35,
713,
10786,
164,
121,
99,
164,
118,
104,
163,
119,
241,
162,
252,
226,
3256,
1097,
62,
11600,
17816,
7890,
11242,
603,
6,
7131,
6,
4868,
6,
12962,
17816,
17197,
6,
7131,
15,
7131,
6,
11299,
20520,
611,
651,
35,
713,
10786,
164,
121,
99,
164,
118,
104,
163,
119,
241,
162,
252,
226,
3256,
1097,
62,
11600,
17816,
7890,
11242,
603,
6,
7131,
6,
4868,
6,
12962,
2073,
6045,
11,
1303,
5525,
121,
112,
164,
115,
251,
171,
120,
230,
3020,
171,
120,
231,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
24255,
19076,
10354,
651,
35,
713,
10786,
41753,
243,
33566,
246,
164,
121,
105,
28938,
239,
3256,
1097,
62,
11600,
17816,
7890,
11242,
603,
6,
7131,
6,
4868,
6,
12962,
17816,
17197,
6,
7131,
15,
7131,
6,
11299,
20520,
611,
651,
35,
713,
10786,
41753,
243,
33566,
246,
164,
121,
105,
28938,
239,
3256,
1097,
62,
11600,
17816,
7890,
11242,
603,
6,
7131,
6,
4868,
6,
12962,
2073,
6045,
11,
1303,
16268,
102,
109,
27950,
101,
43095,
28156,
237,
198,
220,
220,
220,
220,
220,
220,
220,
1782,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
3108,
796,
705,
66,
13132,
62,
1640,
62,
5162,
7761,
14,
3605,
6601,
6,
198,
220,
220,
220,
477,
9914,
25876,
796,
28686,
13,
4868,
15908,
7,
6978,
8,
198,
220,
220,
220,
47764,
796,
279,
67,
13,
6601,
19778,
26933,
12962,
198,
220,
220,
220,
329,
2060,
8979,
5376,
287,
477,
9914,
25876,
25,
198,
220,
220,
220,
220,
220,
220,
220,
611,
45302,
17752,
6,
407,
287,
2060,
8979,
5376,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2555,
198,
220,
220,
220,
220,
220,
220,
220,
2060,
16962,
713,
796,
1100,
28008,
9914,
8979,
7,
6978,
1343,
277,
26488,
90,
29762,
8979,
5376,
92,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
2169,
12315,
796,
279,
67,
13,
6601,
19778,
7,
29762,
16962,
713,
11,
6376,
41888,
15,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
47764,
796,
47764,
13,
33295,
7,
11498,
12315,
8,
198,
220,
220,
220,
47764,
796,
47764,
13,
42503,
62,
9630,
7,
14781,
796,
6407,
8,
198,
220,
220,
220,
1303,
3601,
7,
7568,
13,
2256,
28955,
198,
220,
220,
220,
1303,
3601,
7,
7568,
13,
43358,
8,
198,
220,
220,
220,
47764,
13,
1462,
62,
40664,
10786,
66,
13132,
62,
1640,
62,
5162,
7761,
14,
3605,
6601,
13,
40664,
3256,
6376,
796,
10352,
8,
198
] | 1.861772 | 1,512 |
"""BL Schedule."""
| [
37811,
9148,
19281,
526,
15931,
198
] | 3.166667 | 6 |
from tadataka.optimization.functions import Function
| [
6738,
36264,
48088,
13,
40085,
1634,
13,
12543,
2733,
1330,
15553,
628,
198
] | 4.230769 | 13 |
# Copyright 2016 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
# or implied. See the License for the specific language governing permissions and limitations under
# the License.
"""Implements listing projects and setting default project."""
from __future__ import absolute_import
from __future__ import unicode_literals
try:
import IPython
import IPython.core.magic
import IPython.core.display
except ImportError:
raise Exception('This module can only be loaded in ipython.')
import fnmatch
import datalab.utils.commands
import datalab.context
@IPython.core.magic.register_line_cell_magic
| [
2,
15069,
1584,
3012,
3457,
13,
1439,
2489,
10395,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
345,
743,
407,
779,
428,
2393,
2845,
198,
2,
287,
11846,
351,
262,
13789,
13,
921,
743,
7330,
257,
4866,
286,
262,
13789,
379,
198,
2,
198,
2,
2638,
1378,
2503,
13,
43073,
13,
2398,
14,
677,
4541,
14,
43,
2149,
24290,
12,
17,
13,
15,
198,
2,
198,
2,
17486,
2672,
416,
9723,
1099,
393,
4987,
284,
287,
3597,
11,
3788,
9387,
739,
262,
13789,
198,
2,
318,
9387,
319,
281,
366,
1921,
3180,
1,
29809,
1797,
11,
42881,
34764,
11015,
6375,
7102,
49828,
11053,
3963,
15529,
509,
12115,
11,
2035,
4911,
198,
2,
393,
17142,
13,
4091,
262,
13789,
329,
262,
2176,
3303,
15030,
21627,
290,
11247,
739,
198,
2,
262,
13789,
13,
198,
198,
37811,
3546,
1154,
902,
13487,
4493,
290,
4634,
4277,
1628,
526,
15931,
198,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
28311,
25,
198,
220,
1330,
6101,
7535,
198,
220,
1330,
6101,
7535,
13,
7295,
13,
32707,
198,
220,
1330,
6101,
7535,
13,
7295,
13,
13812,
198,
16341,
17267,
12331,
25,
198,
220,
5298,
35528,
10786,
1212,
8265,
460,
691,
307,
9639,
287,
20966,
7535,
2637,
8,
198,
198,
11748,
24714,
15699,
198,
198,
11748,
4818,
282,
397,
13,
26791,
13,
9503,
1746,
198,
11748,
4818,
282,
397,
13,
22866,
628,
198,
31,
4061,
7535,
13,
7295,
13,
32707,
13,
30238,
62,
1370,
62,
3846,
62,
32707,
628,
198
] | 3.787313 | 268 |
from flask import Blueprint, render_template, request, flash, jsonify, redirect, url_for
from flask_login import login_required, current_user
from . import db, cursor, dbmysql
import json
import random
from . import user_info
views = Blueprint('views', __name__)
@views.route('/', methods=['GET', 'POST'])
@login_required
@views.route('/register', methods=['GET', 'POST'])
@login_required
@views.route('/report', methods=['GET', 'POST'])
@login_required
@views.route('/search', methods=['GET', 'POST']) | [
6738,
42903,
1330,
39932,
11,
8543,
62,
28243,
11,
2581,
11,
7644,
11,
33918,
1958,
11,
18941,
11,
19016,
62,
1640,
198,
6738,
42903,
62,
38235,
1330,
17594,
62,
35827,
11,
1459,
62,
7220,
198,
6738,
764,
1330,
20613,
11,
23493,
11,
288,
20475,
893,
13976,
198,
11748,
33918,
198,
11748,
4738,
198,
6738,
764,
1330,
2836,
62,
10951,
198,
198,
33571,
796,
39932,
10786,
33571,
3256,
11593,
3672,
834,
8,
198,
198,
31,
33571,
13,
38629,
10786,
14,
3256,
5050,
28,
17816,
18851,
3256,
705,
32782,
6,
12962,
198,
31,
38235,
62,
35827,
198,
198,
31,
33571,
13,
38629,
10786,
14,
30238,
3256,
5050,
28,
17816,
18851,
3256,
705,
32782,
6,
12962,
198,
31,
38235,
62,
35827,
198,
198,
31,
33571,
13,
38629,
10786,
14,
13116,
3256,
5050,
28,
17816,
18851,
3256,
705,
32782,
6,
12962,
198,
31,
38235,
62,
35827,
628,
198,
31,
33571,
13,
38629,
10786,
14,
12947,
3256,
5050,
28,
17816,
18851,
3256,
705,
32782,
6,
12962
] | 3.15528 | 161 |
import operator
from idaapi import *
from idautils import *
# Globals: risky but friendly peeps to speed up coding
# A CFG constructed by angr CFGFast analysis
cfg = ''
# Count of methods discovered by auto-analysis
methods_identified = 0
# A list of FuncInfo() structures holding information on
# functions identified by auto-analysis
functions_info = []
# The structure holding relevant information on a function
# Populate the data structures by filling up information on methods found in the blob
# Populate the data structures by filling up information on methods found in the blob
# The methods reading from and writing to the eMMC card are the primary sources
# of taint. It's highly likely that these methods will be invoked many more times
# over the other ones. The real bummer is when methods like __stack_chk_fail() tops
# in the list :-( To make the situation worse, a bunch of libc functions precede
# mmc_read(). Can we eliminate these by computing symbolic summaries? | [
11748,
10088,
198,
6738,
220,
3755,
15042,
1330,
1635,
198,
6738,
4686,
2306,
4487,
1330,
1635,
628,
198,
2,
40713,
874,
25,
17564,
475,
8030,
613,
25386,
284,
2866,
510,
19617,
198,
2,
317,
18551,
38,
12006,
416,
281,
2164,
18551,
21713,
459,
3781,
198,
37581,
796,
10148,
198,
2,
2764,
286,
5050,
5071,
416,
8295,
12,
20930,
198,
24396,
82,
62,
19107,
796,
657,
198,
2,
317,
1351,
286,
11138,
66,
12360,
3419,
8573,
4769,
1321,
319,
198,
2,
5499,
5174,
416,
8295,
12,
20930,
198,
12543,
2733,
62,
10951,
796,
17635,
628,
198,
2,
383,
4645,
4769,
5981,
1321,
319,
257,
2163,
628,
628,
198,
198,
2,
8099,
5039,
262,
1366,
8573,
416,
12591,
510,
1321,
319,
5050,
1043,
287,
262,
44812,
628,
198,
2,
8099,
5039,
262,
1366,
8573,
416,
12591,
510,
1321,
319,
5050,
1043,
287,
262,
44812,
628,
198,
2,
383,
5050,
3555,
422,
290,
3597,
284,
262,
304,
44,
9655,
2657,
389,
262,
4165,
4237,
198,
2,
286,
256,
2913,
13,
632,
338,
4047,
1884,
326,
777,
5050,
481,
307,
24399,
867,
517,
1661,
198,
2,
625,
262,
584,
3392,
13,
383,
1103,
275,
31647,
318,
618,
5050,
588,
11593,
25558,
62,
354,
74,
62,
32165,
3419,
21246,
198,
2,
287,
262,
1351,
1058,
30420,
1675,
787,
262,
3074,
4785,
11,
257,
7684,
286,
9195,
66,
5499,
8555,
68,
198,
2,
8085,
66,
62,
961,
22446,
1680,
356,
11005,
777,
416,
14492,
18975,
30114,
3166,
30
] | 4.115702 | 242 |
#coding: utf-8
import json, pymysql, datetime, time
import mysqlcredentials
| [
2,
66,
7656,
25,
3384,
69,
12,
23,
198,
11748,
33918,
11,
279,
4948,
893,
13976,
11,
4818,
8079,
11,
640,
198,
11748,
48761,
66,
445,
14817,
628
] | 2.75 | 28 |
"""Models for handling metadata."""
import dataclasses
import logging
from django.db import models
from django.db.models import F, Func
from django.utils.translation import gettext_lazy as _
from edd.fields import VarCharField
from .common import EDDSerialize
logger = logging.getLogger(__name__)
class MetadataGroup(models.Model):
"""Group together types of metadata with a label."""
group_name = VarCharField(
help_text=_("Name of the group/class of metadata."),
unique=True,
verbose_name=_("Group Name"),
)
@dataclasses.dataclass
class Metadata:
"""Mirrors fields of MetadataType, to define built-in Metadata."""
# required
for_context: str
type_name: str
uuid: str
# optional
default_value: str = None
input_type: str = None
postfix: str = None
prefix: str = None
type_field: str = None
type_i18n: str = None
class MetadataType(models.Model, EDDSerialize):
"""Type information for arbitrary key-value data stored on EDDObject instances."""
# defining values to use in the for_context field
STUDY = "S"
LINE = "L"
ASSAY = "A"
CONTEXT_SET = ((STUDY, _("Study")), (LINE, _("Line")), (ASSAY, _("Assay")))
# pre-defined values that should always exist in the system
_SYSTEM_TYPES = (
# type_field metadata to map to Model object fields
Metadata(
for_context=ASSAY,
input_type="textarea",
type_field="description",
type_i18n="main.models.Assay.description",
type_name="Assay Description",
uuid="4929a6ad-370c-48c6-941f-6cd154162315",
),
Metadata(
for_context=ASSAY,
input_type="user",
type_field="experimenter",
type_i18n="main.models.Assay.experimenter",
type_name="Assay Experimenter",
uuid="15105bee-e9f1-4290-92b2-d7fdcb3ad68d",
),
Metadata(
for_context=ASSAY,
input_type="string",
type_field="name",
type_i18n="main.models.Assay.name",
type_name="Assay Name",
uuid="33125862-66b2-4d22-8966-282eb7142a45",
),
Metadata(
for_context=LINE,
input_type="carbon_source",
type_field="carbon_source",
type_i18n="main.models.Line.carbon_source",
type_name="Carbon Source(s)",
uuid="4ddaf92a-1623-4c30-aa61-4f7407acfacc",
),
Metadata(
for_context=LINE,
input_type="checkbox",
type_field="control",
type_i18n="main.models.Line.control",
type_name="Control",
uuid="8aa26735-e184-4dcd-8dd1-830ec240f9e1",
),
Metadata(
for_context=LINE,
input_type="user",
type_field="contact",
type_i18n="main.models.Line.contact",
type_name="Line Contact",
uuid="13672c8a-2a36-43ed-928f-7d63a1a4bd51",
),
Metadata(
for_context=LINE,
input_type="textarea",
type_field="description",
type_i18n="main.models.Line.description",
type_name="Line Description",
uuid="5fe84549-9a97-47d2-a897-8c18dd8fd34a",
),
Metadata(
for_context=LINE,
input_type="user",
type_field="experimenter",
type_i18n="main.models.Line.experimenter",
type_name="Line Experimenter",
uuid="974c3367-f0c5-461d-bd85-37c1a269d49e",
),
Metadata(
for_context=LINE,
input_type="string",
type_field="name",
type_i18n="main.models.Line.name",
type_name="Line Name",
uuid="b388bcaa-d14b-4d7f-945e-a6fcb60142f2",
),
Metadata(
for_context=LINE,
input_type="strain",
type_field="strains",
type_i18n="main.models.Line.strains",
type_name="Strain(s)",
uuid="292f1ca7-30de-4ba1-89cd-87d2f6291416",
),
# "true" metadata, but directly referenced by code for specific purposes
Metadata(
default_value="--",
for_context=LINE,
input_type="media",
type_i18n="main.models.Line.Media",
type_name="Media",
uuid="463546e4-a67e-4471-a278-9464e78dbc9d",
),
Metadata(
for_context=ASSAY,
# TODO: consider making this: input_type="readonly"
input_type="string",
type_i18n="main.models.Assay.original",
type_name="Original Name",
uuid="5ef6500e-0f8b-4eef-a6bd-075bcb655caa",
),
Metadata(
for_context=LINE,
input_type="replicate",
type_i18n="main.models.Line.replicate",
type_name="Replicate",
uuid="71f5cd94-4dd4-45ca-a926-9f0717631799",
),
Metadata(
for_context=ASSAY,
input_type="time",
type_i18n="main.models.Assay.Time",
type_name="Time",
uuid="6629231d-4ef0-48e3-a21e-df8db6dfbb72",
),
)
_SYSTEM_DEF = {t.type_name: t for t in _SYSTEM_TYPES}
SYSTEM = {t.type_name: t.uuid for t in _SYSTEM_TYPES}
# optionally link several metadata types into a common group
group = models.ForeignKey(
MetadataGroup,
blank=True,
help_text=_("Group for this Metadata Type"),
null=True,
on_delete=models.PROTECT,
verbose_name=_("Group"),
)
# a default label for the type; should normally use i18n lookup for display
type_name = VarCharField(
help_text=_("Name for Metadata Type"), verbose_name=_("Name")
)
# an i18n lookup for type label
type_i18n = VarCharField(
blank=True,
help_text=_("i18n key used for naming this Metadata Type."),
null=True,
verbose_name=_("i18n Key"),
)
# field to store metadata, or None if stored in metadata
type_field = VarCharField(
blank=True,
default=None,
help_text=_(
"Model field where metadata is stored; blank stores in metadata dictionary."
),
null=True,
verbose_name=_("Field Name"),
)
# type of the input on front-end; support checkboxes, autocompletes, etc
# blank/null falls back to plain text input field
input_type = VarCharField(
blank=True,
help_text=_("Type of input fields for values of this Metadata Type."),
null=True,
verbose_name=_("Input Type"),
)
# a default value to use if the field is left blank
default_value = VarCharField(
blank=True,
help_text=_("Default value for this Metadata Type."),
verbose_name=_("Default Value"),
)
# label used to prefix values
prefix = VarCharField(
blank=True,
help_text=_("Prefix text appearing before values of this Metadata Type."),
verbose_name=_("Prefix"),
)
# label used to postfix values (e.g. unit specifier)
postfix = VarCharField(
blank=True,
help_text=_("Postfix text appearing after values of this Metadata Type."),
verbose_name=_("Postfix"),
)
# target object for metadata
for_context = VarCharField(
choices=CONTEXT_SET,
help_text=_("Type of EDD Object this Metadata Type may be added to."),
verbose_name=_("Context"),
)
# linking together EDD instances will be easier later if we define UUIDs now
uuid = models.UUIDField(
editable=False,
help_text=_("Unique identifier for this Metadata Type."),
unique=True,
verbose_name=_("UUID"),
)
@classmethod
@classmethod
def system(cls, name):
"""Load a pre-defined system-wide MetadataType."""
typedef = cls._SYSTEM_DEF.get(name, None)
if typedef is None:
raise cls.DoesNotExist
fields = {f.name for f in dataclasses.fields(Metadata)}
defaults = {k: v for k, v in typedef.__dict__.items() if k in fields and v}
meta, created = cls.objects.get_or_create(uuid=typedef.uuid, defaults=defaults)
return meta
def decode_value(self, value):
"""
Default MetadataType class reflects back the passed value loaded from
JSON. Subclasses may try to modify the value to convert to arbitrary
Python values instead of a JSON-compatible dict.
"""
return value
def encode_value(self, value):
"""
Default MetadataType class reflects back the passed value to send to
JSON. Subclasses may try to modify the value to serialize arbitrary
Python values to a JSON-compatible value.
"""
return value
class EDDMetadata(models.Model):
"""Base class for EDD models supporting metadata."""
metadata = models.JSONField(
blank=True,
help_text=_("JSON-based metadata dictionary."),
default=dict,
verbose_name=_("Metadata"),
)
def metadata_add(self, metatype, value, append=True):
"""
Adds metadata to the object.
By default, if there is already metadata of the same type, the value is
appended to a list with previous value(s). Set kwarg `append` to False
to overwrite previous values.
"""
if not self.allow_metadata(metatype):
raise ValueError(
f"The metadata type '{metatype.type_name}' does not apply "
f"to {type(self)} objects."
)
if metatype.type_field is None:
if append:
prev = self.metadata_get(metatype)
if hasattr(prev, "append"):
prev.append(value)
value = prev
elif prev is not None:
value = [prev, value]
self.metadata[metatype.pk] = metatype.encode_value(value)
else:
temp = getattr(self, metatype.type_field)
if hasattr(temp, "add"):
if append:
temp.add(value)
else:
setattr(self, metatype.type_field, [value])
else:
setattr(self, metatype.type_field, value)
def metadata_clear(self, metatype):
"""Removes all metadata of the type from this object."""
if metatype.type_field is None:
self.metadata.pop(metatype.pk, None)
# for backward-compatibility, also check string version
self.metadata.pop(f"{metatype.pk}", None)
else:
temp = getattr(self, metatype.type_field)
if hasattr(temp, "clear"):
temp.clear()
else:
setattr(self, metatype.type_field, None)
def metadata_get(self, metatype, default=None):
"""Returns the metadata on this object matching the type."""
if metatype.type_field is None:
# for backward-compatibility, also check string version
value = self.metadata.get(
metatype.pk, self.metadata.get(f"{metatype.pk}", None)
)
if value is None:
return default
return metatype.decode_value(value)
return getattr(self, metatype.type_field)
def metadata_remove(self, metatype, value):
"""Removes metadata with a value matching the argument for the type."""
sentinel = object()
prev = self.metadata_get(metatype, default=sentinel)
# only act when metatype already existed
if prev is not sentinel:
if value == prev:
# clear for single values
self.metadata_clear(metatype)
elif hasattr(prev, "remove"):
# for lists, call remove
try:
prev.remove(value)
self.metadata_add(metatype, prev, append=False)
except ValueError:
# don't care if the value didn't exist
pass
| [
37811,
5841,
1424,
329,
9041,
20150,
526,
15931,
198,
198,
11748,
4818,
330,
28958,
198,
11748,
18931,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
9945,
13,
27530,
1330,
376,
11,
11138,
66,
198,
6738,
42625,
14208,
13,
26791,
13,
41519,
1330,
651,
5239,
62,
75,
12582,
355,
4808,
198,
198,
6738,
1225,
67,
13,
25747,
1330,
12372,
12441,
15878,
198,
198,
6738,
764,
11321,
1330,
8392,
5258,
48499,
1096,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628,
198,
198,
4871,
3395,
14706,
13247,
7,
27530,
13,
17633,
2599,
198,
220,
220,
220,
37227,
13247,
1978,
3858,
286,
20150,
351,
257,
6167,
526,
15931,
628,
220,
220,
220,
1448,
62,
3672,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
5376,
286,
262,
1448,
14,
4871,
286,
20150,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
3748,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
13247,
6530,
12340,
198,
220,
220,
220,
1267,
628,
198,
31,
19608,
330,
28958,
13,
19608,
330,
31172,
198,
4871,
3395,
14706,
25,
198,
220,
220,
220,
37227,
27453,
5965,
7032,
286,
3395,
14706,
6030,
11,
284,
8160,
3170,
12,
259,
3395,
14706,
526,
15931,
628,
220,
220,
220,
1303,
2672,
198,
220,
220,
220,
329,
62,
22866,
25,
965,
198,
220,
220,
220,
2099,
62,
3672,
25,
965,
198,
220,
220,
220,
334,
27112,
25,
965,
198,
220,
220,
220,
1303,
11902,
198,
220,
220,
220,
4277,
62,
8367,
25,
965,
796,
6045,
198,
220,
220,
220,
5128,
62,
4906,
25,
965,
796,
6045,
198,
220,
220,
220,
1281,
13049,
25,
965,
796,
6045,
198,
220,
220,
220,
21231,
25,
965,
796,
6045,
198,
220,
220,
220,
2099,
62,
3245,
25,
965,
796,
6045,
198,
220,
220,
220,
2099,
62,
72,
1507,
77,
25,
965,
796,
6045,
628,
198,
4871,
3395,
14706,
6030,
7,
27530,
13,
17633,
11,
8392,
5258,
48499,
1096,
2599,
198,
220,
220,
220,
37227,
6030,
1321,
329,
14977,
1994,
12,
8367,
1366,
8574,
319,
8392,
35,
10267,
10245,
526,
15931,
628,
220,
220,
220,
1303,
16215,
3815,
284,
779,
287,
262,
329,
62,
22866,
2214,
198,
220,
220,
220,
49348,
56,
796,
366,
50,
1,
198,
220,
220,
220,
48920,
796,
366,
43,
1,
198,
220,
220,
220,
7054,
27358,
796,
366,
32,
1,
198,
220,
220,
220,
22904,
13918,
62,
28480,
796,
14808,
2257,
8322,
56,
11,
4808,
7203,
39841,
4943,
828,
357,
24027,
11,
4808,
7203,
13949,
4943,
828,
357,
1921,
27358,
11,
4808,
7203,
8021,
323,
1,
22305,
628,
220,
220,
220,
1303,
662,
12,
23211,
3815,
326,
815,
1464,
2152,
287,
262,
1080,
198,
220,
220,
220,
4808,
23060,
25361,
62,
9936,
47,
1546,
796,
357,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
2099,
62,
3245,
20150,
284,
3975,
284,
9104,
2134,
7032,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
1921,
27358,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
5239,
20337,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
11213,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
8021,
323,
13,
11213,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
8021,
323,
12489,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
2920,
1959,
64,
21,
324,
12,
20167,
66,
12,
2780,
66,
21,
12,
24,
3901,
69,
12,
21,
10210,
21526,
1433,
1954,
1314,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
1921,
27358,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
7220,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
23100,
3681,
263,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
8021,
323,
13,
23100,
3681,
263,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
8021,
323,
29544,
263,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
1314,
13348,
20963,
12,
68,
24,
69,
16,
12,
11785,
15,
12,
5892,
65,
17,
12,
67,
22,
16344,
21101,
18,
324,
3104,
67,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
1921,
27358,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
8841,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
3672,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
8021,
323,
13,
3672,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
8021,
323,
6530,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
2091,
1065,
3365,
5237,
12,
2791,
65,
17,
12,
19,
67,
1828,
12,
4531,
2791,
12,
32568,
1765,
22,
23726,
64,
2231,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
29255,
62,
10459,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
29255,
62,
10459,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
29255,
62,
10459,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
9914,
4189,
8090,
7,
82,
42501,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
19,
1860,
1878,
5892,
64,
12,
1433,
1954,
12,
19,
66,
1270,
12,
7252,
5333,
12,
19,
69,
22,
30120,
330,
69,
4134,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
9122,
3524,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
13716,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
13716,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
15988,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
23,
7252,
25674,
2327,
12,
68,
22883,
12,
19,
67,
10210,
12,
23,
1860,
16,
12,
48341,
721,
16102,
69,
24,
68,
16,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
7220,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
32057,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
32057,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
13949,
14039,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
1485,
43864,
66,
23,
64,
12,
17,
64,
2623,
12,
3559,
276,
12,
24,
2078,
69,
12,
22,
67,
5066,
64,
16,
64,
19,
17457,
4349,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
5239,
20337,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
11213,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
11213,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
13949,
12489,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
20,
5036,
23,
2231,
2920,
12,
24,
64,
5607,
12,
2857,
67,
17,
12,
64,
4531,
22,
12,
23,
66,
1507,
1860,
23,
16344,
2682,
64,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
7220,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
23100,
3681,
263,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
23100,
3681,
263,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
13949,
29544,
263,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
24,
4524,
66,
2091,
3134,
12,
69,
15,
66,
20,
12,
40652,
67,
12,
17457,
5332,
12,
2718,
66,
16,
64,
26276,
67,
2920,
68,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
8841,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
3672,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
3672,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
13949,
6530,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
65,
30460,
65,
6888,
64,
12,
67,
1415,
65,
12,
19,
67,
22,
69,
12,
24,
2231,
68,
12,
64,
21,
16072,
65,
41706,
3682,
69,
17,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
2536,
391,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3245,
2625,
2536,
1299,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
2536,
1299,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
1273,
3201,
7,
82,
42501,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
32759,
69,
16,
6888,
22,
12,
1270,
2934,
12,
19,
7012,
16,
12,
4531,
10210,
12,
5774,
67,
17,
69,
48602,
1415,
1433,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
366,
7942,
1,
20150,
11,
475,
3264,
20717,
416,
2438,
329,
2176,
4959,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4277,
62,
8367,
2625,
438,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
11431,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
13152,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
13152,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
3510,
2327,
3510,
68,
19,
12,
64,
3134,
68,
12,
2598,
4869,
12,
64,
25870,
12,
5824,
2414,
68,
3695,
9945,
66,
24,
67,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
1921,
27358,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
16926,
46,
25,
2074,
1642,
428,
25,
5128,
62,
4906,
2625,
961,
8807,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
8841,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
8021,
323,
13,
14986,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
20556,
6530,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
20,
891,
2996,
405,
68,
12,
15,
69,
23,
65,
12,
19,
68,
891,
12,
64,
21,
17457,
12,
46396,
15630,
65,
35916,
6888,
64,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
24027,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
35666,
5344,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
13949,
13,
35666,
5344,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
39232,
5344,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
4869,
69,
20,
10210,
5824,
12,
19,
1860,
19,
12,
2231,
6888,
12,
64,
24,
2075,
12,
24,
69,
2998,
1558,
5066,
1558,
2079,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
62,
22866,
28,
1921,
27358,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5128,
62,
4906,
2625,
2435,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
72,
1507,
77,
2625,
12417,
13,
27530,
13,
8021,
323,
13,
7575,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2099,
62,
3672,
2625,
7575,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
27112,
2625,
2791,
1959,
25667,
67,
12,
19,
891,
15,
12,
2780,
68,
18,
12,
64,
2481,
68,
12,
7568,
23,
9945,
21,
7568,
11848,
4761,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
4808,
23060,
25361,
62,
32988,
796,
1391,
83,
13,
4906,
62,
3672,
25,
256,
329,
256,
287,
4808,
23060,
25361,
62,
9936,
47,
1546,
92,
198,
220,
220,
220,
36230,
796,
1391,
83,
13,
4906,
62,
3672,
25,
256,
13,
12303,
312,
329,
256,
287,
4808,
23060,
25361,
62,
9936,
47,
1546,
92,
628,
220,
220,
220,
1303,
42976,
2792,
1811,
20150,
3858,
656,
257,
2219,
1448,
198,
220,
220,
220,
1448,
796,
4981,
13,
33616,
9218,
7,
198,
220,
220,
220,
220,
220,
220,
220,
3395,
14706,
13247,
11,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
13247,
329,
428,
3395,
14706,
5994,
12340,
198,
220,
220,
220,
220,
220,
220,
220,
9242,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
319,
62,
33678,
28,
27530,
13,
4805,
2394,
9782,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
13247,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
257,
4277,
6167,
329,
262,
2099,
26,
815,
7685,
779,
1312,
1507,
77,
35847,
329,
3359,
198,
220,
220,
220,
2099,
62,
3672,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
5376,
329,
3395,
14706,
5994,
12340,
15942,
577,
62,
3672,
28,
62,
7203,
5376,
4943,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
281,
1312,
1507,
77,
35847,
329,
2099,
6167,
198,
220,
220,
220,
2099,
62,
72,
1507,
77,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
72,
1507,
77,
1994,
973,
329,
19264,
428,
3395,
14706,
5994,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
9242,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
72,
1507,
77,
7383,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
2214,
284,
3650,
20150,
11,
393,
6045,
611,
8574,
287,
20150,
198,
220,
220,
220,
2099,
62,
3245,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
4277,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
41052,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
17633,
2214,
810,
20150,
318,
8574,
26,
9178,
7000,
287,
20150,
22155,
526,
198,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
9242,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
15878,
6530,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
2099,
286,
262,
5128,
319,
2166,
12,
437,
26,
1104,
2198,
29305,
11,
1960,
42829,
1154,
4879,
11,
3503,
198,
220,
220,
220,
1303,
9178,
14,
8423,
8953,
736,
284,
8631,
2420,
5128,
2214,
198,
220,
220,
220,
5128,
62,
4906,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
6030,
286,
5128,
7032,
329,
3815,
286,
428,
3395,
14706,
5994,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
9242,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
20560,
5994,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
257,
4277,
1988,
284,
779,
611,
262,
2214,
318,
1364,
9178,
198,
220,
220,
220,
4277,
62,
8367,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
19463,
1988,
329,
428,
3395,
14706,
5994,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
19463,
11052,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
6167,
973,
284,
21231,
3815,
198,
220,
220,
220,
21231,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
36698,
844,
2420,
12655,
878,
3815,
286,
428,
3395,
14706,
5994,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
36698,
844,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
6167,
973,
284,
1281,
13049,
3815,
357,
68,
13,
70,
13,
4326,
1020,
7483,
8,
198,
220,
220,
220,
1281,
13049,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
6307,
13049,
2420,
12655,
706,
3815,
286,
428,
3395,
14706,
5994,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
6307,
13049,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
2496,
2134,
329,
20150,
198,
220,
220,
220,
329,
62,
22866,
796,
12372,
12441,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
7747,
28,
10943,
32541,
62,
28480,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
6030,
286,
8392,
35,
9515,
428,
3395,
14706,
5994,
743,
307,
2087,
284,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
21947,
12340,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
1303,
17795,
1978,
8392,
35,
10245,
481,
307,
4577,
1568,
611,
356,
8160,
471,
27586,
82,
783,
198,
220,
220,
220,
334,
27112,
796,
4981,
13,
52,
27586,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
4370,
540,
28,
25101,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
40257,
27421,
329,
428,
3395,
14706,
5994,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
3748,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
52,
27586,
12340,
198,
220,
220,
220,
1267,
628,
220,
220,
220,
2488,
4871,
24396,
628,
220,
220,
220,
2488,
4871,
24396,
198,
220,
220,
220,
825,
1080,
7,
565,
82,
11,
1438,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8912,
257,
662,
12,
23211,
1080,
12,
4421,
3395,
14706,
6030,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
25683,
891,
796,
537,
82,
13557,
23060,
25361,
62,
32988,
13,
1136,
7,
3672,
11,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
25683,
891,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
537,
82,
13,
13921,
3673,
3109,
396,
198,
220,
220,
220,
220,
220,
220,
220,
7032,
796,
1391,
69,
13,
3672,
329,
277,
287,
4818,
330,
28958,
13,
25747,
7,
9171,
14706,
38165,
198,
220,
220,
220,
220,
220,
220,
220,
26235,
796,
1391,
74,
25,
410,
329,
479,
11,
410,
287,
25683,
891,
13,
834,
11600,
834,
13,
23814,
3419,
611,
479,
287,
7032,
290,
410,
92,
198,
220,
220,
220,
220,
220,
220,
220,
13634,
11,
2727,
796,
537,
82,
13,
48205,
13,
1136,
62,
273,
62,
17953,
7,
12303,
312,
28,
774,
9124,
891,
13,
12303,
312,
11,
26235,
28,
12286,
82,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
13634,
628,
220,
220,
220,
825,
36899,
62,
8367,
7,
944,
11,
1988,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
15161,
3395,
14706,
6030,
1398,
12497,
736,
262,
3804,
1988,
9639,
422,
198,
220,
220,
220,
220,
220,
220,
220,
19449,
13,
3834,
37724,
743,
1949,
284,
13096,
262,
1988,
284,
10385,
284,
14977,
198,
220,
220,
220,
220,
220,
220,
220,
11361,
3815,
2427,
286,
257,
19449,
12,
38532,
8633,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1988,
628,
220,
220,
220,
825,
37773,
62,
8367,
7,
944,
11,
1988,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
15161,
3395,
14706,
6030,
1398,
12497,
736,
262,
3804,
1988,
284,
3758,
284,
198,
220,
220,
220,
220,
220,
220,
220,
19449,
13,
3834,
37724,
743,
1949,
284,
13096,
262,
1988,
284,
11389,
1096,
14977,
198,
220,
220,
220,
220,
220,
220,
220,
11361,
3815,
284,
257,
19449,
12,
38532,
1988,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1988,
628,
198,
4871,
8392,
35,
9171,
14706,
7,
27530,
13,
17633,
2599,
198,
220,
220,
220,
37227,
14881,
1398,
329,
8392,
35,
4981,
6493,
20150,
526,
15931,
628,
220,
220,
220,
20150,
796,
4981,
13,
40386,
15878,
7,
198,
220,
220,
220,
220,
220,
220,
220,
9178,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1037,
62,
5239,
28,
62,
7203,
40386,
12,
3106,
20150,
22155,
526,
828,
198,
220,
220,
220,
220,
220,
220,
220,
4277,
28,
11600,
11,
198,
220,
220,
220,
220,
220,
220,
220,
15942,
577,
62,
3672,
28,
62,
7203,
9171,
14706,
12340,
198,
220,
220,
220,
1267,
628,
220,
220,
220,
825,
20150,
62,
2860,
7,
944,
11,
1138,
265,
2981,
11,
1988,
11,
24443,
28,
17821,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
34333,
20150,
284,
262,
2134,
13,
628,
220,
220,
220,
220,
220,
220,
220,
2750,
4277,
11,
611,
612,
318,
1541,
20150,
286,
262,
976,
2099,
11,
262,
1988,
318,
198,
220,
220,
220,
220,
220,
220,
220,
598,
1631,
284,
257,
1351,
351,
2180,
1988,
7,
82,
737,
5345,
479,
86,
853,
4600,
33295,
63,
284,
10352,
198,
220,
220,
220,
220,
220,
220,
220,
284,
49312,
2180,
3815,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
2116,
13,
12154,
62,
38993,
7,
4164,
265,
2981,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
1,
464,
20150,
2099,
705,
90,
4164,
265,
2981,
13,
4906,
62,
3672,
92,
6,
857,
407,
4174,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
1,
1462,
1391,
4906,
7,
944,
38165,
5563,
526,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1138,
265,
2981,
13,
4906,
62,
3245,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
24443,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8654,
796,
2116,
13,
38993,
62,
1136,
7,
4164,
265,
2981,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
468,
35226,
7,
47050,
11,
366,
33295,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8654,
13,
33295,
7,
8367,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1988,
796,
8654,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
8654,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1988,
796,
685,
47050,
11,
1988,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38993,
58,
4164,
265,
2981,
13,
79,
74,
60,
796,
1138,
265,
2981,
13,
268,
8189,
62,
8367,
7,
8367,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20218,
796,
651,
35226,
7,
944,
11,
1138,
265,
2981,
13,
4906,
62,
3245,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
468,
35226,
7,
29510,
11,
366,
2860,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
24443,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20218,
13,
2860,
7,
8367,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
900,
35226,
7,
944,
11,
1138,
265,
2981,
13,
4906,
62,
3245,
11,
685,
8367,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
900,
35226,
7,
944,
11,
1138,
265,
2981,
13,
4906,
62,
3245,
11,
1988,
8,
628,
220,
220,
220,
825,
20150,
62,
20063,
7,
944,
11,
1138,
265,
2981,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8413,
5241,
477,
20150,
286,
262,
2099,
422,
428,
2134,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1138,
265,
2981,
13,
4906,
62,
3245,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38993,
13,
12924,
7,
4164,
265,
2981,
13,
79,
74,
11,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
329,
19528,
12,
5589,
25901,
11,
635,
2198,
4731,
2196,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38993,
13,
12924,
7,
69,
1,
90,
4164,
265,
2981,
13,
79,
74,
92,
1600,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20218,
796,
651,
35226,
7,
944,
11,
1138,
265,
2981,
13,
4906,
62,
3245,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
468,
35226,
7,
29510,
11,
366,
20063,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20218,
13,
20063,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
900,
35226,
7,
944,
11,
1138,
265,
2981,
13,
4906,
62,
3245,
11,
6045,
8,
628,
220,
220,
220,
825,
20150,
62,
1136,
7,
944,
11,
1138,
265,
2981,
11,
4277,
28,
14202,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
35561,
262,
20150,
319,
428,
2134,
12336,
262,
2099,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1138,
265,
2981,
13,
4906,
62,
3245,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
329,
19528,
12,
5589,
25901,
11,
635,
2198,
4731,
2196,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1988,
796,
2116,
13,
38993,
13,
1136,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1138,
265,
2981,
13,
79,
74,
11,
2116,
13,
38993,
13,
1136,
7,
69,
1,
90,
4164,
265,
2981,
13,
79,
74,
92,
1600,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1988,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
4277,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
1138,
265,
2981,
13,
12501,
1098,
62,
8367,
7,
8367,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
651,
35226,
7,
944,
11,
1138,
265,
2981,
13,
4906,
62,
3245,
8,
628,
220,
220,
220,
825,
20150,
62,
28956,
7,
944,
11,
1138,
265,
2981,
11,
1988,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8413,
5241,
20150,
351,
257,
1988,
12336,
262,
4578,
329,
262,
2099,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
1908,
20538,
796,
2134,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
8654,
796,
2116,
13,
38993,
62,
1136,
7,
4164,
265,
2981,
11,
4277,
28,
34086,
20538,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
691,
719,
618,
1138,
265,
2981,
1541,
11196,
198,
220,
220,
220,
220,
220,
220,
220,
611,
8654,
318,
407,
1908,
20538,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1988,
6624,
8654,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1598,
329,
2060,
3815,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38993,
62,
20063,
7,
4164,
265,
2981,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
468,
35226,
7,
47050,
11,
366,
28956,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
329,
8341,
11,
869,
4781,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8654,
13,
28956,
7,
8367,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38993,
62,
2860,
7,
4164,
265,
2981,
11,
8654,
11,
24443,
28,
25101,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
11052,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
836,
470,
1337,
611,
262,
1988,
1422,
470,
2152,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1208,
198
] | 2.076818 | 5,871 |
App.open("java -jar C:/JabRef-4.2-fat.jar")
wait(30)
click("1529632189350.png")
wait(2)
click("1529632296782.png")
wait(2)
click("1530899089323.png")
wait(2)
click("1530899105356.png")
wait(2)
click("1530899134798.png")
wait(2)
click("1530899120685.png")
wait(2)
click("1530899134798.png")
wait(2)
click("1530899165770.png")
wait(2)
click("1530899134798.png")
wait(2)
click("1530899192513.png")
wait(2)
click("1530899134798.png")
wait(2)
click("1530899212578.png")
| [
4677,
13,
9654,
7203,
12355,
532,
9491,
327,
14079,
41,
397,
8134,
12,
19,
13,
17,
12,
17359,
13,
9491,
4943,
198,
17077,
7,
1270,
8,
198,
12976,
7203,
1314,
27137,
2624,
1507,
6052,
1120,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
1959,
5066,
23539,
3134,
6469,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
2919,
6052,
1954,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
13348,
32066,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
1485,
2857,
4089,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
10232,
35978,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
1485,
2857,
4089,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
1433,
3553,
2154,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
1485,
2857,
4089,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
1129,
1495,
1485,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
1485,
2857,
4089,
13,
11134,
4943,
198,
17077,
7,
17,
8,
198,
12976,
7203,
1314,
21495,
2079,
21777,
38907,
13,
11134,
4943,
628,
198
] | 2.084821 | 224 |
#!/usr/bin/python
# Copyright (c) 2006-2013 Regents of the University of Minnesota.
# For licensing terms, see the file LICENSE.
# Get and set email flags for a given user
import optparse
import sys
# SYNC_ME: Search: Scripts: Load pyserver.
import os
import sys
sys.path.insert(0, os.path.abspath('%s/util'
% (os.path.abspath(os.curdir),)))
import pyserver_glue
import conf
import g
import logging
from util_ import logging2
from util_.console import Console
log_level = logging.DEBUG
#log_level = logging2.VERBOSE2
#log_level = logging2.VERBOSE4
#log_level = logging2.VERBOSE
conf.init_logging(True, True, Console.getTerminalSize()[0]-1, log_level)
log = g.log.getLogger('email_flags')
# ***
from gwis import user_email
from util_ import db_glue
usage = '''
$ export PYSERVER_HOME= location of your pyserver directory
View flags: $./\%prog USER
Set flags: $./\%prog --FLAG VALUE EMAIL_ADDRESS|USERNAME
Flags:
--enable-email enable a user to receive emails
--enable-research-email enable a user to receive research related emails
--enable-wr-digest enable watch region notification daily digests
--dont-study exclude a user from analysis (e.g. a Cyclopath dev)
--bouncing flag a users email address as bouncing
--login-permitted disable login for a user'''
valid_flags = [
'enable-email',
'enable-research-email',
'enable-wr-digest',
'dont-study',
'bouncing',
'login-permitted',
]
if (__name__ == '__main__'):
main()
| [
2,
48443,
14629,
14,
8800,
14,
29412,
198,
198,
2,
15069,
357,
66,
8,
4793,
12,
6390,
3310,
658,
286,
262,
2059,
286,
8919,
13,
198,
2,
1114,
15665,
2846,
11,
766,
262,
2393,
38559,
24290,
13,
198,
198,
2,
3497,
290,
900,
3053,
9701,
329,
257,
1813,
2836,
198,
198,
11748,
2172,
29572,
198,
11748,
25064,
198,
198,
2,
19704,
7792,
62,
11682,
25,
11140,
25,
12327,
82,
25,
8778,
279,
893,
18497,
13,
198,
11748,
28686,
198,
11748,
25064,
198,
17597,
13,
6978,
13,
28463,
7,
15,
11,
28686,
13,
6978,
13,
397,
2777,
776,
10786,
4,
82,
14,
22602,
6,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4064,
357,
418,
13,
6978,
13,
397,
2777,
776,
7,
418,
13,
66,
2799,
343,
828,
22305,
198,
11748,
279,
893,
18497,
62,
4743,
518,
198,
198,
11748,
1013,
198,
11748,
308,
198,
198,
11748,
18931,
198,
6738,
7736,
62,
1330,
18931,
17,
198,
6738,
7736,
44807,
41947,
1330,
24371,
198,
6404,
62,
5715,
796,
18931,
13,
30531,
198,
2,
6404,
62,
5715,
796,
18931,
17,
13,
5959,
33,
14058,
17,
198,
2,
6404,
62,
5715,
796,
18931,
17,
13,
5959,
33,
14058,
19,
198,
2,
6404,
62,
5715,
796,
18931,
17,
13,
5959,
33,
14058,
198,
10414,
13,
15003,
62,
6404,
2667,
7,
17821,
11,
6407,
11,
24371,
13,
1136,
44798,
282,
10699,
3419,
58,
15,
45297,
16,
11,
2604,
62,
5715,
8,
198,
198,
6404,
796,
308,
13,
6404,
13,
1136,
11187,
1362,
10786,
12888,
62,
33152,
11537,
198,
198,
2,
17202,
198,
198,
6738,
308,
86,
271,
1330,
2836,
62,
12888,
198,
6738,
7736,
62,
1330,
20613,
62,
4743,
518,
198,
198,
26060,
796,
705,
7061,
198,
220,
720,
10784,
350,
16309,
1137,
5959,
62,
39069,
28,
4067,
286,
534,
279,
893,
18497,
8619,
198,
220,
198,
220,
3582,
9701,
25,
220,
720,
19571,
59,
4,
1676,
70,
1294,
1137,
198,
220,
5345,
9701,
25,
220,
220,
720,
19571,
59,
4,
1676,
70,
1377,
38948,
26173,
8924,
412,
5673,
4146,
62,
2885,
7707,
7597,
91,
29904,
20608,
628,
220,
34771,
25,
628,
220,
1377,
21633,
12,
12888,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7139,
257,
2836,
284,
3328,
7237,
198,
220,
1377,
21633,
12,
34033,
12,
12888,
220,
7139,
257,
2836,
284,
3328,
2267,
3519,
7237,
198,
220,
1377,
21633,
12,
18351,
12,
12894,
395,
220,
220,
220,
220,
220,
220,
7139,
2342,
3814,
14483,
4445,
3100,
3558,
198,
220,
1377,
67,
756,
12,
44517,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19607,
257,
2836,
422,
3781,
357,
68,
13,
70,
13,
257,
28007,
18569,
1614,
8,
198,
220,
1377,
65,
18155,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6056,
257,
2985,
3053,
2209,
355,
30713,
198,
220,
1377,
38235,
12,
525,
3291,
220,
220,
220,
220,
220,
220,
220,
15560,
17594,
329,
257,
2836,
7061,
6,
198,
198,
12102,
62,
33152,
796,
685,
198,
220,
220,
705,
21633,
12,
12888,
3256,
198,
220,
220,
705,
21633,
12,
34033,
12,
12888,
3256,
198,
220,
220,
705,
21633,
12,
18351,
12,
12894,
395,
3256,
198,
220,
220,
705,
67,
756,
12,
44517,
3256,
198,
220,
220,
705,
65,
18155,
3256,
198,
220,
220,
705,
38235,
12,
525,
3291,
3256,
198,
220,
220,
2361,
198,
198,
361,
357,
834,
3672,
834,
6624,
705,
834,
12417,
834,
6,
2599,
198,
220,
220,
1388,
3419,
628
] | 2.666093 | 581 |
import pytest
import threading
from unittest.mock import Mock, call
from quickrpc.promise import Promise, PromiseDoneError, PromiseTimeoutError, PromiseDeadlockError
@pytest.fixture
@pytest.fixture
| [
11748,
12972,
9288,
198,
11748,
4704,
278,
198,
6738,
555,
715,
395,
13,
76,
735,
1330,
44123,
11,
869,
198,
6738,
2068,
81,
14751,
13,
16963,
786,
1330,
34920,
11,
34920,
45677,
12331,
11,
34920,
48031,
12331,
11,
34920,
20489,
5354,
12331,
198,
198,
31,
9078,
9288,
13,
69,
9602,
198,
198,
31,
9078,
9288,
13,
69,
9602,
628,
198
] | 3.366667 | 60 |
import numpy as np
import scipy.ndimage as nd
import pyKinectTools.algs.Dijkstras as dgn
# from pyKinectTools.utils.DepthUtils import *
from pyKinectTools.utils.DepthUtils import depthIm2PosIm
from copy import deepcopy
from skimage.draw import circle
from IPython import embed
from pylab import *
def geodesic_extrema_MPI(im_pos, centroid=None, iterations=1, visualize=False, box=None):
'''
im : im_pos (NxMx3)
'''
if centroid==None:
try:
centroid = np.array(nd.center_of_mass(im_pos[:,:,2]), dtype=np.int16)
except:
return np.array([])
if box is not None:
im_pos = im_pos[box]
im_pos = np.ascontiguousarray(im_pos, dtype=np.int16)
if visualize:
cost_map = np.zeros([im_pos.shape[0], im_pos.shape[1]], dtype=np.uint16)
extrema = dgn.geodesic_map_MPI(cost_map, im_pos, np.array(centroid, dtype=np.int16), iterations, 1)
cost_map = np.array(extrema[-1])
extrema = extrema[:-1]
extrema = np.array([x for x in extrema])
return extrema, cost_map
else:
extrema = np.array(dgn.geodesic_extrema_MPI(im_pos, np.array(centroid, dtype=np.int16), iterations))
return extrema
def connect_extrema(im_pos, target, markers, visualize=False):
'''
im_pos : XYZ positions of each point in image formation (n x m x 3)
'''
height, width,_ = im_pos.shape
centroid = np.array(target)
im_pos = np.ascontiguousarray(im_pos.astype(np.int16))
cost_map = np.ascontiguousarray(np.zeros([height, width], dtype=np.uint16))
extrema = dgn.geodesic_map_MPI(cost_map, im_pos, np.array(centroid, dtype=np.int16), 1, 1)
cost_map = extrema[-1]
trails = []
for m in markers:
trail = dgn.geodesic_trail(cost_map.copy()+(32000*(im_pos[:,:,2]==0)).astype(np.uint16), np.array(m, dtype=np.int16))
trails += [trail.copy()]
if visualize:
cost_map = deepcopy(cost_map)
circ = circle(markers[0][0],markers[0][1], 5)
circ = np.array([np.minimum(circ[0], height-1), np.minimum(circ[1], width-1)])
circ = np.array([np.maximum(circ[0], 0), np.maximum(circ[1], 0)])
cost_map[circ[0], circ[1]] = 0
for i,t in enumerate(trails[1:]):
# embed()
cost_map[t[:,0], t[:,1]] = 0
circ = circle(markers[i+1][0],markers[i+1][1], 5)
circ = np.array([np.minimum(circ[0], height-1), np.minimum(circ[1], width-1)])
circ = np.array([np.maximum(circ[0], 0), np.maximum(circ[1], 0)])
cost_map[circ[0], circ[1]] = 0
return trails, cost_map
else:
return trails
def distance_map(im, centroid, scale=1):
'''
---Parameters---
im_depth :
centroid :
---Returns---
distance_map
'''
im_depth = np.ascontiguousarray(im.copy())
objSize = im_depth.shape
max_value = 32000
mask = im_depth > 0
# Get discrete form of position/depth matrix
# embed()
depth_min = im_depth[mask].min()
depth_max = im_depth[mask].max()
depth_diff = depth_max - depth_min
if depth_diff < 1:
depth_diff = 1
scale_to = scale / float(depth_diff)
# Ensure the centroid is within the boundaries
# Segfaults if on the very edge(!) so set border as 1 to resolution-2
centroid[0] = centroid[0] if centroid[0] > 0 else 1
centroid[0] = centroid[0] if centroid[0] < im.shape[0]-1 else im.shape[0]-2
centroid[1] = centroid[1] if centroid[1] > 0 else 1
centroid[1] = centroid[1] if centroid[1] < im.shape[1]-1 else im.shape[1]-2
# Scale depth image
im_depth_scaled = np.ascontiguousarray(np.array( (im_depth-depth_min)*scale_to, dtype=np.uint16))
# im_depth_scaled = np.ascontiguousarray(np.array( (im_depth-depth_min), dtype=np.uint16))
im_depth_scaled *= mask
# Initialize all but starting point as max
distance_map = np.zeros([objSize[0],objSize[1]], dtype=np.uint16)+max_value
distance_map[centroid[0], centroid[1]] = 0
# Set which pixels are in/out of bounds
visited_map = np.zeros_like(distance_map, dtype=np.uint8)
visited_map[-mask] = 255
centroid = np.array(centroid, dtype=np.int16)
# embed()
dgn.distance_map(distance_map, visited_map, im_depth_scaled.astype(np.uint16), centroid, int(scale))
return distance_map.copy()
def generateKeypoints(im, centroid, iterations=10, scale=6):
'''
---Parameters---
im_depth :
centroid :
---Returns---
extrema
distance_map
'''
x,y = centroid
maps = []
extrema = []
# Get N distance maps. For 2..N centroid is previous farthest distance.
for i in range(iterations):
im_dist = distance_map(np.ascontiguousarray(im.copy()), centroid=[x,y], scale=scale)
im_dist[im_dist>=32000] = 0
maps += [im_dist.copy()]
max_ = np.argmax(np.min(np.dstack(maps),-1))
max_px = np.unravel_index(max_, im.shape)
x,y = max_px
extrema += [[x,y]]
im_min = np.min(np.dstack(maps),-1)
im_min = (im_min/(float(im_min.max())/255.)).astype(np.uint8)
# Visualize
im -= im[im>0].min()
for c in extrema:
# im_min[c[0]-3:c[0]+4, c[1]-3:c[1]+4] = im_min.max()
im[c[0]-3:c[0]+4, c[1]-3:c[1]+4] = im.max()
import cv2
cv2.imshow("Extrema", im/float(im.max()))
# cv2.imshow("Extrema", im_min/float(im_min.max()))
cv2.waitKey(30)
return extrema, im_min
''' --- Other functions --- '''
| [
11748,
299,
32152,
355,
45941,
198,
11748,
629,
541,
88,
13,
358,
9060,
355,
299,
67,
198,
11748,
12972,
49681,
478,
33637,
13,
14016,
82,
13,
35,
45961,
2536,
292,
355,
288,
4593,
198,
198,
2,
422,
12972,
49681,
478,
33637,
13,
26791,
13,
48791,
18274,
4487,
1330,
1635,
198,
6738,
12972,
49681,
478,
33637,
13,
26791,
13,
48791,
18274,
4487,
1330,
6795,
3546,
17,
21604,
3546,
198,
6738,
4866,
1330,
2769,
30073,
198,
6738,
1341,
9060,
13,
19334,
1330,
9197,
198,
198,
6738,
6101,
7535,
1330,
11525,
198,
6738,
279,
2645,
397,
1330,
1635,
198,
198,
4299,
4903,
4147,
291,
62,
2302,
260,
2611,
62,
7378,
40,
7,
320,
62,
1930,
11,
1247,
3882,
28,
14202,
11,
34820,
28,
16,
11,
38350,
28,
25101,
11,
3091,
28,
14202,
2599,
198,
197,
7061,
6,
198,
197,
320,
1058,
545,
62,
1930,
357,
45,
87,
44,
87,
18,
8,
198,
197,
7061,
6,
198,
197,
361,
1247,
3882,
855,
14202,
25,
198,
197,
197,
28311,
25,
198,
197,
197,
197,
1087,
3882,
796,
45941,
13,
18747,
7,
358,
13,
16159,
62,
1659,
62,
22208,
7,
320,
62,
1930,
58,
45299,
45299,
17,
46570,
288,
4906,
28,
37659,
13,
600,
1433,
8,
198,
197,
197,
16341,
25,
198,
197,
197,
197,
7783,
45941,
13,
18747,
26933,
12962,
628,
197,
361,
3091,
318,
407,
6045,
25,
198,
197,
197,
320,
62,
1930,
796,
545,
62,
1930,
58,
3524,
60,
198,
197,
320,
62,
1930,
796,
45941,
13,
3372,
756,
29709,
18747,
7,
320,
62,
1930,
11,
288,
4906,
28,
37659,
13,
600,
1433,
8,
628,
197,
361,
38350,
25,
198,
197,
197,
15805,
62,
8899,
796,
45941,
13,
9107,
418,
26933,
320,
62,
1930,
13,
43358,
58,
15,
4357,
545,
62,
1930,
13,
43358,
58,
16,
60,
4357,
288,
4906,
28,
37659,
13,
28611,
1433,
8,
198,
197,
197,
2302,
260,
2611,
796,
288,
4593,
13,
469,
4147,
291,
62,
8899,
62,
7378,
40,
7,
15805,
62,
8899,
11,
545,
62,
1930,
11,
45941,
13,
18747,
7,
1087,
3882,
11,
288,
4906,
28,
37659,
13,
600,
1433,
828,
34820,
11,
352,
8,
198,
197,
197,
15805,
62,
8899,
796,
45941,
13,
18747,
7,
2302,
260,
2611,
58,
12,
16,
12962,
198,
197,
197,
2302,
260,
2611,
796,
1070,
260,
2611,
58,
21912,
16,
60,
198,
197,
197,
2302,
260,
2611,
796,
45941,
13,
18747,
26933,
87,
329,
2124,
287,
1070,
260,
2611,
12962,
198,
197,
197,
7783,
1070,
260,
2611,
11,
1575,
62,
8899,
198,
197,
17772,
25,
198,
197,
197,
2302,
260,
2611,
796,
45941,
13,
18747,
7,
67,
4593,
13,
469,
4147,
291,
62,
2302,
260,
2611,
62,
7378,
40,
7,
320,
62,
1930,
11,
45941,
13,
18747,
7,
1087,
3882,
11,
288,
4906,
28,
37659,
13,
600,
1433,
828,
34820,
4008,
198,
197,
197,
7783,
1070,
260,
2611,
198,
198,
4299,
2018,
62,
2302,
260,
2611,
7,
320,
62,
1930,
11,
2496,
11,
19736,
11,
38350,
28,
25101,
2599,
198,
197,
7061,
6,
198,
197,
320,
62,
1930,
1058,
41420,
57,
6116,
286,
1123,
966,
287,
2939,
9978,
357,
77,
2124,
285,
2124,
513,
8,
198,
197,
7061,
6,
198,
197,
17015,
11,
9647,
11,
62,
796,
545,
62,
1930,
13,
43358,
198,
197,
1087,
3882,
796,
45941,
13,
18747,
7,
16793,
8,
628,
197,
320,
62,
1930,
796,
45941,
13,
3372,
756,
29709,
18747,
7,
320,
62,
1930,
13,
459,
2981,
7,
37659,
13,
600,
1433,
4008,
198,
197,
15805,
62,
8899,
796,
45941,
13,
3372,
756,
29709,
18747,
7,
37659,
13,
9107,
418,
26933,
17015,
11,
9647,
4357,
288,
4906,
28,
37659,
13,
28611,
1433,
4008,
628,
197,
2302,
260,
2611,
796,
288,
4593,
13,
469,
4147,
291,
62,
8899,
62,
7378,
40,
7,
15805,
62,
8899,
11,
545,
62,
1930,
11,
45941,
13,
18747,
7,
1087,
3882,
11,
288,
4906,
28,
37659,
13,
600,
1433,
828,
352,
11,
352,
8,
198,
197,
15805,
62,
8899,
796,
1070,
260,
2611,
58,
12,
16,
60,
628,
197,
9535,
4487,
796,
17635,
198,
197,
1640,
285,
287,
19736,
25,
198,
197,
197,
9535,
346,
796,
288,
4593,
13,
469,
4147,
291,
62,
9535,
346,
7,
15805,
62,
8899,
13,
30073,
3419,
33747,
2624,
830,
9,
7,
320,
62,
1930,
58,
45299,
45299,
17,
60,
855,
15,
29720,
459,
2981,
7,
37659,
13,
28611,
1433,
828,
45941,
13,
18747,
7,
76,
11,
288,
4906,
28,
37659,
13,
600,
1433,
4008,
198,
197,
197,
9535,
4487,
15853,
685,
9535,
346,
13,
30073,
3419,
60,
198,
197,
361,
38350,
25,
198,
197,
197,
15805,
62,
8899,
796,
2769,
30073,
7,
15805,
62,
8899,
8,
198,
197,
197,
21170,
796,
9197,
7,
4102,
364,
58,
15,
7131,
15,
4357,
4102,
364,
58,
15,
7131,
16,
4357,
642,
8,
198,
197,
197,
21170,
796,
45941,
13,
18747,
26933,
37659,
13,
39504,
7,
21170,
58,
15,
4357,
6001,
12,
16,
828,
45941,
13,
39504,
7,
21170,
58,
16,
4357,
9647,
12,
16,
8,
12962,
198,
197,
197,
21170,
796,
45941,
13,
18747,
26933,
37659,
13,
47033,
7,
21170,
58,
15,
4357,
657,
828,
45941,
13,
47033,
7,
21170,
58,
16,
4357,
657,
8,
12962,
198,
197,
197,
15805,
62,
8899,
58,
21170,
58,
15,
4357,
2498,
58,
16,
11907,
796,
657,
198,
197,
197,
1640,
1312,
11,
83,
287,
27056,
378,
7,
9535,
4487,
58,
16,
47715,
2599,
198,
197,
197,
197,
2,
11525,
3419,
198,
197,
197,
197,
15805,
62,
8899,
58,
83,
58,
45299,
15,
4357,
256,
58,
45299,
16,
11907,
796,
657,
198,
197,
197,
197,
21170,
796,
9197,
7,
4102,
364,
58,
72,
10,
16,
7131,
15,
4357,
4102,
364,
58,
72,
10,
16,
7131,
16,
4357,
642,
8,
198,
197,
197,
197,
21170,
796,
45941,
13,
18747,
26933,
37659,
13,
39504,
7,
21170,
58,
15,
4357,
6001,
12,
16,
828,
45941,
13,
39504,
7,
21170,
58,
16,
4357,
9647,
12,
16,
8,
12962,
198,
197,
197,
197,
21170,
796,
45941,
13,
18747,
26933,
37659,
13,
47033,
7,
21170,
58,
15,
4357,
657,
828,
45941,
13,
47033,
7,
21170,
58,
16,
4357,
657,
8,
12962,
198,
197,
197,
197,
15805,
62,
8899,
58,
21170,
58,
15,
4357,
2498,
58,
16,
11907,
796,
657,
198,
197,
197,
7783,
19196,
11,
1575,
62,
8899,
198,
197,
17772,
25,
198,
197,
197,
7783,
19196,
628,
198,
198,
4299,
5253,
62,
8899,
7,
320,
11,
1247,
3882,
11,
5046,
28,
16,
2599,
198,
197,
7061,
6,
198,
197,
6329,
48944,
6329,
198,
197,
320,
62,
18053,
1058,
198,
197,
1087,
3882,
1058,
198,
197,
6329,
35561,
6329,
198,
197,
30246,
62,
8899,
198,
197,
7061,
6,
628,
197,
320,
62,
18053,
796,
45941,
13,
3372,
756,
29709,
18747,
7,
320,
13,
30073,
28955,
198,
197,
26801,
10699,
796,
545,
62,
18053,
13,
43358,
198,
197,
9806,
62,
8367,
796,
3933,
830,
198,
197,
27932,
796,
545,
62,
18053,
1875,
657,
628,
197,
2,
3497,
28810,
1296,
286,
2292,
14,
18053,
17593,
198,
197,
2,
11525,
3419,
198,
197,
18053,
62,
1084,
796,
545,
62,
18053,
58,
27932,
4083,
1084,
3419,
198,
197,
18053,
62,
9806,
796,
545,
62,
18053,
58,
27932,
4083,
9806,
3419,
198,
197,
18053,
62,
26069,
796,
6795,
62,
9806,
532,
6795,
62,
1084,
198,
197,
361,
6795,
62,
26069,
1279,
352,
25,
198,
197,
197,
18053,
62,
26069,
796,
352,
198,
197,
9888,
62,
1462,
796,
5046,
1220,
12178,
7,
18053,
62,
26069,
8,
628,
197,
2,
48987,
262,
1247,
3882,
318,
1626,
262,
13215,
198,
197,
2,
31220,
69,
13185,
611,
319,
262,
845,
5743,
7,
8133,
523,
900,
4865,
355,
352,
284,
6323,
12,
17,
198,
197,
1087,
3882,
58,
15,
60,
796,
1247,
3882,
58,
15,
60,
611,
1247,
3882,
58,
15,
60,
1875,
657,
2073,
352,
198,
197,
1087,
3882,
58,
15,
60,
796,
1247,
3882,
58,
15,
60,
611,
1247,
3882,
58,
15,
60,
1279,
545,
13,
43358,
58,
15,
45297,
16,
2073,
545,
13,
43358,
58,
15,
45297,
17,
198,
197,
1087,
3882,
58,
16,
60,
796,
1247,
3882,
58,
16,
60,
611,
1247,
3882,
58,
16,
60,
1875,
657,
2073,
352,
198,
197,
1087,
3882,
58,
16,
60,
796,
1247,
3882,
58,
16,
60,
611,
1247,
3882,
58,
16,
60,
1279,
545,
13,
43358,
58,
16,
45297,
16,
2073,
545,
13,
43358,
58,
16,
45297,
17,
628,
197,
2,
21589,
6795,
2939,
198,
197,
320,
62,
18053,
62,
1416,
3021,
796,
45941,
13,
3372,
756,
29709,
18747,
7,
37659,
13,
18747,
7,
357,
320,
62,
18053,
12,
18053,
62,
1084,
27493,
9888,
62,
1462,
11,
288,
4906,
28,
37659,
13,
28611,
1433,
4008,
198,
197,
2,
545,
62,
18053,
62,
1416,
3021,
796,
45941,
13,
3372,
756,
29709,
18747,
7,
37659,
13,
18747,
7,
357,
320,
62,
18053,
12,
18053,
62,
1084,
828,
288,
4906,
28,
37659,
13,
28611,
1433,
4008,
198,
197,
320,
62,
18053,
62,
1416,
3021,
1635,
28,
9335,
628,
197,
2,
20768,
1096,
477,
475,
3599,
966,
355,
3509,
198,
197,
30246,
62,
8899,
796,
45941,
13,
9107,
418,
26933,
26801,
10699,
58,
15,
4357,
26801,
10699,
58,
16,
60,
4357,
288,
4906,
28,
37659,
13,
28611,
1433,
47762,
9806,
62,
8367,
198,
197,
30246,
62,
8899,
58,
1087,
3882,
58,
15,
4357,
1247,
3882,
58,
16,
11907,
796,
657,
628,
197,
2,
5345,
543,
17848,
389,
287,
14,
448,
286,
22303,
198,
197,
4703,
863,
62,
8899,
796,
45941,
13,
9107,
418,
62,
2339,
7,
30246,
62,
8899,
11,
288,
4906,
28,
37659,
13,
28611,
23,
8,
198,
197,
4703,
863,
62,
8899,
58,
12,
27932,
60,
796,
14280,
628,
197,
1087,
3882,
796,
45941,
13,
18747,
7,
1087,
3882,
11,
288,
4906,
28,
37659,
13,
600,
1433,
8,
198,
197,
2,
11525,
3419,
198,
197,
67,
4593,
13,
30246,
62,
8899,
7,
30246,
62,
8899,
11,
8672,
62,
8899,
11,
545,
62,
18053,
62,
1416,
3021,
13,
459,
2981,
7,
37659,
13,
28611,
1433,
828,
1247,
3882,
11,
493,
7,
9888,
4008,
628,
197,
7783,
5253,
62,
8899,
13,
30073,
3419,
628,
198,
198,
4299,
7716,
9218,
13033,
7,
320,
11,
1247,
3882,
11,
34820,
28,
940,
11,
5046,
28,
21,
2599,
198,
197,
7061,
6,
198,
197,
6329,
48944,
6329,
198,
197,
320,
62,
18053,
1058,
198,
197,
1087,
3882,
1058,
198,
197,
6329,
35561,
6329,
198,
197,
2302,
260,
2611,
198,
197,
30246,
62,
8899,
198,
197,
7061,
6,
628,
197,
87,
11,
88,
796,
1247,
3882,
198,
197,
31803,
796,
17635,
198,
197,
2302,
260,
2611,
796,
17635,
198,
197,
2,
3497,
399,
5253,
8739,
13,
1114,
362,
492,
45,
1247,
3882,
318,
2180,
15189,
3634,
5253,
13,
198,
197,
1640,
1312,
287,
2837,
7,
2676,
602,
2599,
198,
197,
197,
320,
62,
17080,
796,
5253,
62,
8899,
7,
37659,
13,
3372,
756,
29709,
18747,
7,
320,
13,
30073,
3419,
828,
1247,
3882,
41888,
87,
11,
88,
4357,
5046,
28,
9888,
8,
198,
197,
197,
320,
62,
17080,
58,
320,
62,
17080,
29,
28,
2624,
830,
60,
796,
657,
198,
197,
197,
31803,
15853,
685,
320,
62,
17080,
13,
30073,
3419,
60,
198,
197,
197,
9806,
62,
796,
45941,
13,
853,
9806,
7,
37659,
13,
1084,
7,
37659,
13,
67,
25558,
7,
31803,
828,
12,
16,
4008,
198,
197,
197,
9806,
62,
8416,
796,
45941,
13,
403,
25843,
62,
9630,
7,
9806,
62,
11,
545,
13,
43358,
8,
198,
197,
197,
87,
11,
88,
796,
3509,
62,
8416,
198,
197,
197,
2302,
260,
2611,
15853,
16410,
87,
11,
88,
11907,
628,
197,
320,
62,
1084,
796,
45941,
13,
1084,
7,
37659,
13,
67,
25558,
7,
31803,
828,
12,
16,
8,
198,
197,
320,
62,
1084,
796,
357,
320,
62,
1084,
29006,
22468,
7,
320,
62,
1084,
13,
9806,
3419,
20679,
13381,
2014,
737,
459,
2981,
7,
37659,
13,
28611,
23,
8,
198,
197,
2,
15612,
1096,
198,
197,
320,
48185,
545,
58,
320,
29,
15,
4083,
1084,
3419,
198,
197,
1640,
269,
287,
1070,
260,
2611,
25,
198,
197,
197,
2,
545,
62,
1084,
58,
66,
58,
15,
45297,
18,
25,
66,
58,
15,
48688,
19,
11,
269,
58,
16,
45297,
18,
25,
66,
58,
16,
48688,
19,
60,
796,
545,
62,
1084,
13,
9806,
3419,
198,
197,
197,
320,
58,
66,
58,
15,
45297,
18,
25,
66,
58,
15,
48688,
19,
11,
269,
58,
16,
45297,
18,
25,
66,
58,
16,
48688,
19,
60,
796,
545,
13,
9806,
3419,
628,
198,
197,
11748,
269,
85,
17,
198,
197,
33967,
17,
13,
320,
12860,
7203,
11627,
260,
2611,
1600,
545,
14,
22468,
7,
320,
13,
9806,
3419,
4008,
198,
197,
2,
269,
85,
17,
13,
320,
12860,
7203,
11627,
260,
2611,
1600,
545,
62,
1084,
14,
22468,
7,
320,
62,
1084,
13,
9806,
3419,
4008,
198,
197,
33967,
17,
13,
17077,
9218,
7,
1270,
8,
628,
197,
7783,
1070,
260,
2611,
11,
545,
62,
1084,
628,
198,
198,
7061,
6,
11420,
3819,
5499,
11420,
705,
7061,
628,
198
] | 2.332552 | 2,132 |
import asynctest
import asynctest.mock as amock
from opsdroid.core import OpsDroid
from opsdroid.matchers import match_always
from opsdroid.message import Message
from opsdroid.parsers.always import parse_always
class TestParserAlways(asynctest.TestCase):
"""Test the opsdroid always parser."""
| [
198,
11748,
355,
2047,
310,
395,
198,
11748,
355,
2047,
310,
395,
13,
76,
735,
355,
716,
735,
198,
198,
6738,
39628,
67,
3882,
13,
7295,
1330,
26123,
35,
3882,
198,
6738,
39628,
67,
3882,
13,
6759,
3533,
1330,
2872,
62,
33770,
198,
6738,
39628,
67,
3882,
13,
20500,
1330,
16000,
198,
6738,
39628,
67,
3882,
13,
79,
945,
364,
13,
33770,
1330,
21136,
62,
33770,
628,
198,
4871,
6208,
46677,
30374,
7,
292,
2047,
310,
395,
13,
14402,
20448,
2599,
198,
220,
220,
220,
37227,
14402,
262,
39628,
67,
3882,
1464,
30751,
526,
15931,
198
] | 3.15625 | 96 |
"""
Manages VMware storage policies
(called pbm because the vCenter endpoint is /pbm)
Examples
========
Storage policy
--------------
.. code-block:: python
{
"name": "salt_storage_policy"
"description": "Managed by Salt. Random capability values.",
"resource_type": "STORAGE",
"subprofiles": [
{
"capabilities": [
{
"setting": {
"type": "scalar",
"value": 2
},
"namespace": "VSAN",
"id": "hostFailuresToTolerate"
},
{
"setting": {
"type": "scalar",
"value": 2
},
"namespace": "VSAN",
"id": "stripeWidth"
},
{
"setting": {
"type": "scalar",
"value": true
},
"namespace": "VSAN",
"id": "forceProvisioning"
},
{
"setting": {
"type": "scalar",
"value": 50
},
"namespace": "VSAN",
"id": "proportionalCapacity"
},
{
"setting": {
"type": "scalar",
"value": 0
},
"namespace": "VSAN",
"id": "cacheReservation"
}
],
"name": "Rule-Set 1: VSAN",
"force_provision": null
}
],
}
Dependencies
============
- pyVmomi Python Module
pyVmomi
-------
PyVmomi can be installed via pip:
.. code-block:: bash
pip install pyVmomi
.. note::
Version 6.0 of pyVmomi has some problems with SSL error handling on certain
versions of Python. If using version 6.0 of pyVmomi, Python 2.6,
Python 2.7.9, or newer must be present. This is due to an upstream dependency
in pyVmomi 6.0 that is not supported in Python versions 2.7 to 2.7.8. If the
version of Python is not in the supported range, you will need to install an
earlier version of pyVmomi. See
`Issue #29537 <https://github.com/saltstack/salt/issues/29537>` for more
information.
"""
import copy
import logging
import sys
from salt.exceptions import ArgumentValueError, CommandExecutionError
from salt.utils.dictdiffer import recursive_diff
from salt.utils.listdiffer import list_diff
# External libraries
try:
from pyVmomi import VmomiSupport
HAS_PYVMOMI = True
except ImportError:
HAS_PYVMOMI = False
# Get Logging Started
log = logging.getLogger(__name__)
def mod_init(low):
"""
Init function
"""
return True
def default_vsan_policy_configured(name, policy):
"""
Configures the default VSAN policy on a vCenter.
The state assumes there is only one default VSAN policy on a vCenter.
policy
Dict representation of a policy
"""
# TODO Refactor when recurse_differ supports list_differ
# It's going to make the whole thing much easier
policy_copy = copy.deepcopy(policy)
proxy_type = __salt__["vsphere.get_proxy_type"]()
log.trace("proxy_type = %s", proxy_type)
# All allowed proxies have a shim execution module with the same
# name which implementes a get_details function
# All allowed proxies have a vcenter detail
vcenter = __salt__["{}.get_details".format(proxy_type)]()["vcenter"]
log.info("Running %s on vCenter '%s'", name, vcenter)
log.trace("policy = %s", policy)
changes_required = False
ret = {"name": name, "changes": {}, "result": None, "comment": None}
comments = []
changes = {}
changes_required = False
si = None
try:
# TODO policy schema validation
si = __salt__["vsphere.get_service_instance_via_proxy"]()
current_policy = __salt__["vsphere.list_default_vsan_policy"](si)
log.trace("current_policy = {}".format(current_policy))
# Building all diffs between the current and expected policy
# XXX We simplify the comparison by assuming we have at most 1
# sub_profile
if policy.get("subprofiles"):
if len(policy["subprofiles"]) > 1:
raise ArgumentValueError(
"Multiple sub_profiles ({0}) are not "
"supported in the input policy"
)
subprofile = policy["subprofiles"][0]
current_subprofile = current_policy["subprofiles"][0]
capabilities_differ = list_diff(
current_subprofile["capabilities"],
subprofile.get("capabilities", []),
key="id",
)
del policy["subprofiles"]
if subprofile.get("capabilities"):
del subprofile["capabilities"]
del current_subprofile["capabilities"]
# Get the subprofile diffs without the capability keys
subprofile_differ = recursive_diff(current_subprofile, dict(subprofile))
del current_policy["subprofiles"]
policy_differ = recursive_diff(current_policy, policy)
if policy_differ.diffs or capabilities_differ.diffs or subprofile_differ.diffs:
if (
"name" in policy_differ.new_values
or "description" in policy_differ.new_values
):
raise ArgumentValueError(
"'name' and 'description' of the default VSAN policy "
"cannot be updated"
)
changes_required = True
if __opts__["test"]:
str_changes = []
if policy_differ.diffs:
str_changes.extend(
[change for change in policy_differ.changes_str.split("\n")]
)
if subprofile_differ.diffs or capabilities_differ.diffs:
str_changes.append("subprofiles:")
if subprofile_differ.diffs:
str_changes.extend(
[
" {}".format(change)
for change in subprofile_differ.changes_str.split("\n")
]
)
if capabilities_differ.diffs:
str_changes.append(" capabilities:")
str_changes.extend(
[
" {}".format(change)
for change in capabilities_differ.changes_str2.split(
"\n"
)
]
)
comments.append(
"State {} will update the default VSAN policy on "
"vCenter '{}':\n{}"
"".format(name, vcenter, "\n".join(str_changes))
)
else:
__salt__["vsphere.update_storage_policy"](
policy=current_policy["name"],
policy_dict=policy_copy,
service_instance=si,
)
comments.append(
"Updated the default VSAN policy in vCenter '{}'".format(vcenter)
)
log.info(comments[-1])
new_values = policy_differ.new_values
new_values["subprofiles"] = [subprofile_differ.new_values]
new_values["subprofiles"][0][
"capabilities"
] = capabilities_differ.new_values
if not new_values["subprofiles"][0]["capabilities"]:
del new_values["subprofiles"][0]["capabilities"]
if not new_values["subprofiles"][0]:
del new_values["subprofiles"]
old_values = policy_differ.old_values
old_values["subprofiles"] = [subprofile_differ.old_values]
old_values["subprofiles"][0][
"capabilities"
] = capabilities_differ.old_values
if not old_values["subprofiles"][0]["capabilities"]:
del old_values["subprofiles"][0]["capabilities"]
if not old_values["subprofiles"][0]:
del old_values["subprofiles"]
changes.update(
{"default_vsan_policy": {"new": new_values, "old": old_values}}
)
log.trace(changes)
__salt__["vsphere.disconnect"](si)
except CommandExecutionError as exc:
log.error("Error: {}".format(exc))
if si:
__salt__["vsphere.disconnect"](si)
if not __opts__["test"]:
ret["result"] = False
ret.update(
{"comment": exc.strerror, "result": False if not __opts__["test"] else None}
)
return ret
if not changes_required:
# We have no changes
ret.update(
{
"comment": (
"Default VSAN policy in vCenter "
"'{}' is correctly configured. "
"Nothing to be done.".format(vcenter)
),
"result": True,
}
)
else:
ret.update(
{
"comment": "\n".join(comments),
"changes": changes,
"result": None if __opts__["test"] else True,
}
)
return ret
def storage_policies_configured(name, policies):
"""
Configures storage policies on a vCenter.
policies
List of dict representation of the required storage policies
"""
comments = []
changes = []
changes_required = False
ret = {"name": name, "changes": {}, "result": None, "comment": None}
log.trace("policies = {}".format(policies))
si = None
try:
proxy_type = __salt__["vsphere.get_proxy_type"]()
log.trace("proxy_type = {}".format(proxy_type))
# All allowed proxies have a shim execution module with the same
# name which implementes a get_details function
# All allowed proxies have a vcenter detail
vcenter = __salt__["{}.get_details".format(proxy_type)]()["vcenter"]
log.info("Running state '%s' on vCenter '%s'", name, vcenter)
si = __salt__["vsphere.get_service_instance_via_proxy"]()
current_policies = __salt__["vsphere.list_storage_policies"](
policy_names=[policy["name"] for policy in policies], service_instance=si
)
log.trace("current_policies = {}".format(current_policies))
# TODO Refactor when recurse_differ supports list_differ
# It's going to make the whole thing much easier
for policy in policies:
policy_copy = copy.deepcopy(policy)
filtered_policies = [
p for p in current_policies if p["name"] == policy["name"]
]
current_policy = filtered_policies[0] if filtered_policies else None
if not current_policy:
changes_required = True
if __opts__["test"]:
comments.append(
"State {} will create the storage policy "
"'{}' on vCenter '{}'"
"".format(name, policy["name"], vcenter)
)
else:
__salt__["vsphere.create_storage_policy"](
policy["name"], policy, service_instance=si
)
comments.append(
"Created storage policy '{}' on "
"vCenter '{}'".format(policy["name"], vcenter)
)
changes.append({"new": policy, "old": None})
log.trace(comments[-1])
# Continue with next
continue
# Building all diffs between the current and expected policy
# XXX We simplify the comparison by assuming we have at most 1
# sub_profile
if policy.get("subprofiles"):
if len(policy["subprofiles"]) > 1:
raise ArgumentValueError(
"Multiple sub_profiles ({0}) are not "
"supported in the input policy"
)
subprofile = policy["subprofiles"][0]
current_subprofile = current_policy["subprofiles"][0]
capabilities_differ = list_diff(
current_subprofile["capabilities"],
subprofile.get("capabilities", []),
key="id",
)
del policy["subprofiles"]
if subprofile.get("capabilities"):
del subprofile["capabilities"]
del current_subprofile["capabilities"]
# Get the subprofile diffs without the capability keys
subprofile_differ = recursive_diff(current_subprofile, dict(subprofile))
del current_policy["subprofiles"]
policy_differ = recursive_diff(current_policy, policy)
if (
policy_differ.diffs
or capabilities_differ.diffs
or subprofile_differ.diffs
):
changes_required = True
if __opts__["test"]:
str_changes = []
if policy_differ.diffs:
str_changes.extend(
[change for change in policy_differ.changes_str.split("\n")]
)
if subprofile_differ.diffs or capabilities_differ.diffs:
str_changes.append("subprofiles:")
if subprofile_differ.diffs:
str_changes.extend(
[
" {}".format(change)
for change in subprofile_differ.changes_str.split(
"\n"
)
]
)
if capabilities_differ.diffs:
str_changes.append(" capabilities:")
str_changes.extend(
[
" {}".format(change)
for change in capabilities_differ.changes_str2.split(
"\n"
)
]
)
comments.append(
"State {} will update the storage policy '{}'"
" on vCenter '{}':\n{}"
"".format(name, policy["name"], vcenter, "\n".join(str_changes))
)
else:
__salt__["vsphere.update_storage_policy"](
policy=current_policy["name"],
policy_dict=policy_copy,
service_instance=si,
)
comments.append(
"Updated the storage policy '{}'"
"in vCenter '{}'"
"".format(policy["name"], vcenter)
)
log.info(comments[-1])
# Build new/old values to report what was changed
new_values = policy_differ.new_values
new_values["subprofiles"] = [subprofile_differ.new_values]
new_values["subprofiles"][0][
"capabilities"
] = capabilities_differ.new_values
if not new_values["subprofiles"][0]["capabilities"]:
del new_values["subprofiles"][0]["capabilities"]
if not new_values["subprofiles"][0]:
del new_values["subprofiles"]
old_values = policy_differ.old_values
old_values["subprofiles"] = [subprofile_differ.old_values]
old_values["subprofiles"][0][
"capabilities"
] = capabilities_differ.old_values
if not old_values["subprofiles"][0]["capabilities"]:
del old_values["subprofiles"][0]["capabilities"]
if not old_values["subprofiles"][0]:
del old_values["subprofiles"]
changes.append({"new": new_values, "old": old_values})
else:
# No diffs found - no updates required
comments.append(
"Storage policy '{}' is up to date. "
"Nothing to be done.".format(policy["name"])
)
__salt__["vsphere.disconnect"](si)
except CommandExecutionError as exc:
log.error("Error: {}".format(exc))
if si:
__salt__["vsphere.disconnect"](si)
if not __opts__["test"]:
ret["result"] = False
ret.update(
{"comment": exc.strerror, "result": False if not __opts__["test"] else None}
)
return ret
if not changes_required:
# We have no changes
ret.update(
{
"comment": (
"All storage policy in vCenter "
"'{}' is correctly configured. "
"Nothing to be done.".format(vcenter)
),
"result": True,
}
)
else:
ret.update(
{
"comment": "\n".join(comments),
"changes": {"storage_policies": changes},
"result": None if __opts__["test"] else True,
}
)
return ret
def default_storage_policy_assigned(name, policy, datastore):
"""
Assigns a default storage policy to a datastore
policy
Name of storage policy
datastore
Name of datastore
"""
log.info(
"Running state {} for policy '{}', datastore '{}'."
"".format(name, policy, datastore)
)
changes = {}
changes_required = False
ret = {"name": name, "changes": {}, "result": None, "comment": None}
si = None
try:
si = __salt__["vsphere.get_service_instance_via_proxy"]()
existing_policy = __salt__["vsphere.list_default_storage_policy_of_datastore"](
datastore=datastore, service_instance=si
)
if existing_policy["name"] == policy:
comment = (
"Storage policy '{}' is already assigned to "
"datastore '{}'. Nothing to be done."
"".format(policy, datastore)
)
else:
changes_required = True
changes = {
"default_storage_policy": {
"old": existing_policy["name"],
"new": policy,
}
}
if __opts__["test"]:
comment = (
"State {} will assign storage policy '{}' to datastore '{}'."
).format(name, policy, datastore)
else:
__salt__["vsphere.assign_default_storage_policy_to_datastore"](
policy=policy, datastore=datastore, service_instance=si
)
comment = ("Storage policy '{} was assigned to datastore '{}'.").format(
policy, name
)
log.info(comment)
except CommandExecutionError as exc:
log.error("Error: {}".format(exc))
if si:
__salt__["vsphere.disconnect"](si)
ret.update(
{"comment": exc.strerror, "result": False if not __opts__["test"] else None}
)
return ret
ret["comment"] = comment
if changes_required:
ret.update({"changes": changes, "result": None if __opts__["test"] else True})
else:
ret["result"] = True
return ret
| [
37811,
198,
5124,
1095,
37754,
6143,
4788,
198,
7,
7174,
279,
20475,
780,
262,
410,
23656,
36123,
318,
1220,
79,
20475,
8,
198,
198,
27730,
198,
2559,
198,
198,
31425,
2450,
198,
26171,
198,
198,
492,
2438,
12,
9967,
3712,
21015,
628,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
366,
3672,
1298,
366,
82,
2501,
62,
35350,
62,
30586,
1,
198,
220,
220,
220,
220,
220,
220,
220,
366,
11213,
1298,
366,
5124,
1886,
416,
13754,
13,
14534,
12971,
3815,
33283,
198,
220,
220,
220,
220,
220,
220,
220,
366,
31092,
62,
4906,
1298,
366,
2257,
1581,
11879,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
7266,
5577,
2915,
1298,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11128,
5738,
1298,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
33990,
1298,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
4906,
1298,
366,
1416,
282,
283,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
8367,
1298,
362,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
14933,
10223,
1298,
366,
20304,
1565,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
312,
1298,
366,
4774,
39044,
942,
2514,
51,
13625,
378,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
33990,
1298,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
4906,
1298,
366,
1416,
282,
283,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
8367,
1298,
362,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
14933,
10223,
1298,
366,
20304,
1565,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
312,
1298,
366,
33565,
431,
30916,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
33990,
1298,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
4906,
1298,
366,
1416,
282,
283,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
8367,
1298,
2081,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
14933,
10223,
1298,
366,
20304,
1565,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
312,
1298,
366,
3174,
2964,
10178,
278,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
33990,
1298,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
4906,
1298,
366,
1416,
282,
283,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
8367,
1298,
2026,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
14933,
10223,
1298,
366,
20304,
1565,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
312,
1298,
366,
1676,
634,
1538,
15610,
4355,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
33990,
1298,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
4906,
1298,
366,
1416,
282,
283,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
8367,
1298,
657,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8964,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
14933,
10223,
1298,
366,
20304,
1565,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
312,
1298,
366,
23870,
4965,
13208,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
16589,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3672,
1298,
366,
31929,
12,
7248,
352,
25,
22269,
1565,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3174,
62,
1676,
10178,
1298,
9242,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
16589,
198,
220,
220,
220,
1782,
198,
198,
35,
2690,
3976,
198,
25609,
198,
198,
12,
12972,
53,
76,
12753,
11361,
19937,
198,
198,
9078,
53,
76,
12753,
198,
26866,
198,
198,
20519,
53,
76,
12753,
460,
307,
6589,
2884,
7347,
25,
198,
198,
492,
2438,
12,
9967,
3712,
27334,
628,
220,
220,
220,
7347,
2721,
12972,
53,
76,
12753,
198,
198,
492,
3465,
3712,
628,
220,
220,
220,
10628,
718,
13,
15,
286,
12972,
53,
76,
12753,
468,
617,
2761,
351,
25952,
4049,
9041,
319,
1728,
198,
220,
220,
220,
6300,
286,
11361,
13,
1002,
1262,
2196,
718,
13,
15,
286,
12972,
53,
76,
12753,
11,
11361,
362,
13,
21,
11,
198,
220,
220,
220,
11361,
362,
13,
22,
13,
24,
11,
393,
15064,
1276,
307,
1944,
13,
770,
318,
2233,
284,
281,
28717,
20203,
198,
220,
220,
220,
287,
12972,
53,
76,
12753,
718,
13,
15,
326,
318,
407,
4855,
287,
11361,
6300,
362,
13,
22,
284,
362,
13,
22,
13,
23,
13,
1002,
262,
198,
220,
220,
220,
2196,
286,
11361,
318,
407,
287,
262,
4855,
2837,
11,
345,
481,
761,
284,
2721,
281,
198,
220,
220,
220,
2961,
2196,
286,
12972,
53,
76,
12753,
13,
4091,
198,
220,
220,
220,
4600,
45147,
1303,
25710,
2718,
1279,
5450,
1378,
12567,
13,
785,
14,
82,
2501,
25558,
14,
82,
2501,
14,
37165,
14,
25710,
2718,
29,
63,
329,
517,
198,
220,
220,
220,
1321,
13,
198,
37811,
628,
198,
11748,
4866,
198,
11748,
18931,
198,
11748,
25064,
198,
198,
6738,
8268,
13,
1069,
11755,
1330,
45751,
11395,
12331,
11,
9455,
23002,
1009,
12331,
198,
6738,
8268,
13,
26791,
13,
11600,
26069,
263,
1330,
45115,
62,
26069,
198,
6738,
8268,
13,
26791,
13,
4868,
26069,
263,
1330,
1351,
62,
26069,
198,
198,
2,
34579,
12782,
198,
28311,
25,
198,
220,
220,
220,
422,
12972,
53,
76,
12753,
1330,
569,
76,
12753,
15514,
628,
220,
220,
220,
33930,
62,
47,
56,
15996,
2662,
40,
796,
6407,
198,
16341,
17267,
12331,
25,
198,
220,
220,
220,
33930,
62,
47,
56,
15996,
2662,
40,
796,
10352,
198,
198,
2,
3497,
5972,
2667,
31026,
198,
6404,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
628,
198,
198,
4299,
953,
62,
15003,
7,
9319,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
44707,
2163,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1441,
6407,
628,
198,
4299,
4277,
62,
85,
12807,
62,
30586,
62,
11250,
1522,
7,
3672,
11,
2450,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
17056,
942,
262,
4277,
22269,
1565,
2450,
319,
257,
410,
23656,
13,
198,
220,
220,
220,
383,
1181,
18533,
612,
318,
691,
530,
4277,
22269,
1565,
2450,
319,
257,
410,
23656,
13,
628,
220,
220,
220,
2450,
198,
220,
220,
220,
220,
220,
220,
220,
360,
713,
10552,
286,
257,
2450,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1303,
16926,
46,
6524,
11218,
618,
664,
12321,
62,
26069,
263,
6971,
1351,
62,
26069,
263,
198,
220,
220,
220,
1303,
632,
338,
1016,
284,
787,
262,
2187,
1517,
881,
4577,
198,
220,
220,
220,
2450,
62,
30073,
796,
4866,
13,
22089,
30073,
7,
30586,
8,
198,
220,
220,
220,
15741,
62,
4906,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
1136,
62,
36436,
62,
4906,
8973,
3419,
198,
220,
220,
220,
2604,
13,
40546,
7203,
36436,
62,
4906,
796,
4064,
82,
1600,
15741,
62,
4906,
8,
198,
220,
220,
220,
1303,
1439,
3142,
41775,
423,
257,
427,
320,
9706,
8265,
351,
262,
976,
198,
220,
220,
220,
1303,
1438,
543,
3494,
274,
257,
651,
62,
36604,
2163,
198,
220,
220,
220,
1303,
1439,
3142,
41775,
423,
257,
410,
16159,
3703,
198,
220,
220,
220,
410,
16159,
796,
11593,
82,
2501,
834,
14692,
90,
27422,
1136,
62,
36604,
1911,
18982,
7,
36436,
62,
4906,
15437,
3419,
14692,
85,
16159,
8973,
198,
220,
220,
220,
2604,
13,
10951,
7203,
28768,
4064,
82,
319,
410,
23656,
705,
4,
82,
6,
1600,
1438,
11,
410,
16159,
8,
198,
220,
220,
220,
2604,
13,
40546,
7203,
30586,
796,
4064,
82,
1600,
2450,
8,
198,
220,
220,
220,
2458,
62,
35827,
796,
10352,
198,
220,
220,
220,
1005,
796,
19779,
3672,
1298,
1438,
11,
366,
36653,
1298,
1391,
5512,
366,
20274,
1298,
6045,
11,
366,
23893,
1298,
6045,
92,
198,
220,
220,
220,
3651,
796,
17635,
198,
220,
220,
220,
2458,
796,
23884,
198,
220,
220,
220,
2458,
62,
35827,
796,
10352,
198,
220,
220,
220,
33721,
796,
6045,
628,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
16926,
46,
2450,
32815,
21201,
198,
220,
220,
220,
220,
220,
220,
220,
33721,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
1136,
62,
15271,
62,
39098,
62,
8869,
62,
36436,
8973,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
30586,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
4868,
62,
12286,
62,
85,
12807,
62,
30586,
8973,
7,
13396,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
40546,
7203,
14421,
62,
30586,
796,
23884,
1911,
18982,
7,
14421,
62,
30586,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
11819,
477,
814,
82,
1022,
262,
1459,
290,
2938,
2450,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
27713,
775,
30276,
262,
7208,
416,
13148,
356,
423,
379,
749,
352,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
850,
62,
13317,
198,
220,
220,
220,
220,
220,
220,
220,
611,
2450,
13,
1136,
7203,
7266,
5577,
2915,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
30586,
14692,
7266,
5577,
2915,
8973,
8,
1875,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
45751,
11395,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31217,
850,
62,
5577,
2915,
37913,
15,
30072,
389,
407,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15999,
287,
262,
5128,
2450,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
850,
13317,
796,
2450,
14692,
7266,
5577,
2915,
1,
7131,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
7266,
13317,
796,
1459,
62,
30586,
14692,
7266,
5577,
2915,
1,
7131,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
9889,
62,
26069,
263,
796,
1351,
62,
26069,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
7266,
13317,
14692,
11128,
5738,
33116,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
850,
13317,
13,
1136,
7203,
11128,
5738,
1600,
17635,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1994,
2625,
312,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
2450,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
850,
13317,
13,
1136,
7203,
11128,
5738,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
850,
13317,
14692,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1459,
62,
7266,
13317,
14692,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3497,
262,
850,
13317,
814,
82,
1231,
262,
12971,
8251,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
850,
13317,
62,
26069,
263,
796,
45115,
62,
26069,
7,
14421,
62,
7266,
13317,
11,
8633,
7,
7266,
13317,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
1619,
1459,
62,
30586,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
26069,
263,
796,
45115,
62,
26069,
7,
14421,
62,
30586,
11,
2450,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
2450,
62,
26069,
263,
13,
67,
10203,
393,
9889,
62,
26069,
263,
13,
67,
10203,
393,
850,
13317,
62,
26069,
263,
13,
67,
10203,
25,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3672,
1,
287,
2450,
62,
26069,
263,
13,
3605,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
393,
366,
11213,
1,
287,
2450,
62,
26069,
263,
13,
3605,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
15179,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
45751,
11395,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
24018,
3672,
6,
290,
705,
11213,
6,
286,
262,
4277,
22269,
1565,
2450,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
66,
34574,
307,
6153,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
62,
35827,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
11593,
404,
912,
834,
14692,
9288,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2450,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
3803,
329,
1487,
287,
2450,
62,
26069,
263,
13,
36653,
62,
2536,
13,
35312,
7203,
59,
77,
4943,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
850,
13317,
62,
26069,
263,
13,
67,
10203,
393,
9889,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
33295,
7203,
7266,
5577,
2915,
25,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
850,
13317,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
220,
23884,
1911,
18982,
7,
3803,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1487,
287,
850,
13317,
62,
26069,
263,
13,
36653,
62,
2536,
13,
35312,
7203,
59,
77,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
9889,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
33295,
7203,
220,
9889,
25,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
220,
23884,
1911,
18982,
7,
3803,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1487,
287,
9889,
62,
26069,
263,
13,
36653,
62,
2536,
17,
13,
35312,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37082,
77,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
9012,
23884,
481,
4296,
262,
4277,
22269,
1565,
2450,
319,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
85,
23656,
705,
90,
92,
6,
7479,
77,
90,
36786,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1911,
18982,
7,
3672,
11,
410,
16159,
11,
37082,
77,
1911,
22179,
7,
2536,
62,
36653,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
19119,
62,
35350,
62,
30586,
8973,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
28,
14421,
62,
30586,
14692,
3672,
33116,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
11600,
28,
30586,
62,
30073,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2139,
62,
39098,
28,
13396,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
17354,
262,
4277,
22269,
1565,
2450,
287,
410,
23656,
705,
90,
92,
6,
1911,
18982,
7,
85,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
10951,
7,
15944,
58,
12,
16,
12962,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
649,
62,
27160,
796,
2450,
62,
26069,
263,
13,
3605,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
649,
62,
27160,
14692,
7266,
5577,
2915,
8973,
796,
685,
7266,
13317,
62,
26069,
263,
13,
3605,
62,
27160,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11128,
5738,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
796,
9889,
62,
26069,
263,
13,
3605,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
649,
62,
27160,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1468,
62,
27160,
796,
2450,
62,
26069,
263,
13,
727,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1468,
62,
27160,
14692,
7266,
5577,
2915,
8973,
796,
685,
7266,
13317,
62,
26069,
263,
13,
727,
62,
27160,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11128,
5738,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
796,
9889,
62,
26069,
263,
13,
727,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1468,
62,
27160,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19779,
12286,
62,
85,
12807,
62,
30586,
1298,
19779,
3605,
1298,
649,
62,
27160,
11,
366,
727,
1298,
1468,
62,
27160,
11709,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
40546,
7,
36653,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
6381,
8443,
8973,
7,
13396,
8,
198,
220,
220,
220,
2845,
9455,
23002,
1009,
12331,
355,
2859,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
18224,
7203,
12331,
25,
23884,
1911,
18982,
7,
41194,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
611,
33721,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
6381,
8443,
8973,
7,
13396,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
11593,
404,
912,
834,
14692,
9288,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1005,
14692,
20274,
8973,
796,
10352,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19779,
23893,
1298,
2859,
13,
301,
11751,
1472,
11,
366,
20274,
1298,
10352,
611,
407,
11593,
404,
912,
834,
14692,
9288,
8973,
2073,
6045,
92,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1005,
198,
220,
220,
220,
611,
407,
2458,
62,
35827,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
775,
423,
645,
2458,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23893,
1298,
357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
19463,
22269,
1565,
2450,
287,
410,
23656,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
24018,
90,
92,
6,
318,
9380,
17839,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
18465,
284,
307,
1760,
526,
13,
18982,
7,
85,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
20274,
1298,
6407,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23893,
1298,
37082,
77,
1911,
22179,
7,
15944,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
36653,
1298,
2458,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
20274,
1298,
6045,
611,
11593,
404,
912,
834,
14692,
9288,
8973,
2073,
6407,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
1441,
1005,
628,
198,
4299,
6143,
62,
79,
4160,
444,
62,
11250,
1522,
7,
3672,
11,
4788,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
17056,
942,
6143,
4788,
319,
257,
410,
23656,
13,
628,
220,
220,
220,
4788,
198,
220,
220,
220,
220,
220,
220,
220,
7343,
286,
8633,
10552,
286,
262,
2672,
6143,
4788,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
3651,
796,
17635,
198,
220,
220,
220,
2458,
796,
17635,
198,
220,
220,
220,
2458,
62,
35827,
796,
10352,
198,
220,
220,
220,
1005,
796,
19779,
3672,
1298,
1438,
11,
366,
36653,
1298,
1391,
5512,
366,
20274,
1298,
6045,
11,
366,
23893,
1298,
6045,
92,
198,
220,
220,
220,
2604,
13,
40546,
7203,
79,
4160,
444,
796,
23884,
1911,
18982,
7,
79,
4160,
444,
4008,
198,
220,
220,
220,
33721,
796,
6045,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
15741,
62,
4906,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
1136,
62,
36436,
62,
4906,
8973,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
40546,
7203,
36436,
62,
4906,
796,
23884,
1911,
18982,
7,
36436,
62,
4906,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
1439,
3142,
41775,
423,
257,
427,
320,
9706,
8265,
351,
262,
976,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
1438,
543,
3494,
274,
257,
651,
62,
36604,
2163,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
1439,
3142,
41775,
423,
257,
410,
16159,
3703,
198,
220,
220,
220,
220,
220,
220,
220,
410,
16159,
796,
11593,
82,
2501,
834,
14692,
90,
27422,
1136,
62,
36604,
1911,
18982,
7,
36436,
62,
4906,
15437,
3419,
14692,
85,
16159,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
10951,
7203,
28768,
1181,
705,
4,
82,
6,
319,
410,
23656,
705,
4,
82,
6,
1600,
1438,
11,
410,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
33721,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
1136,
62,
15271,
62,
39098,
62,
8869,
62,
36436,
8973,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
79,
4160,
444,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
4868,
62,
35350,
62,
79,
4160,
444,
8973,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
14933,
41888,
30586,
14692,
3672,
8973,
329,
2450,
287,
4788,
4357,
2139,
62,
39098,
28,
13396,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
40546,
7203,
14421,
62,
79,
4160,
444,
796,
23884,
1911,
18982,
7,
14421,
62,
79,
4160,
444,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
16926,
46,
6524,
11218,
618,
664,
12321,
62,
26069,
263,
6971,
1351,
62,
26069,
263,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
632,
338,
1016,
284,
787,
262,
2187,
1517,
881,
4577,
198,
220,
220,
220,
220,
220,
220,
220,
329,
2450,
287,
4788,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
30073,
796,
4866,
13,
22089,
30073,
7,
30586,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
29083,
62,
79,
4160,
444,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
279,
329,
279,
287,
1459,
62,
79,
4160,
444,
611,
279,
14692,
3672,
8973,
6624,
2450,
14692,
3672,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
30586,
796,
29083,
62,
79,
4160,
444,
58,
15,
60,
611,
29083,
62,
79,
4160,
444,
2073,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
1459,
62,
30586,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
62,
35827,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
11593,
404,
912,
834,
14692,
9288,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
9012,
23884,
481,
2251,
262,
6143,
2450,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
24018,
90,
92,
6,
319,
410,
23656,
705,
90,
92,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1911,
18982,
7,
3672,
11,
2450,
14692,
3672,
33116,
410,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
17953,
62,
35350,
62,
30586,
8973,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
14692,
3672,
33116,
2450,
11,
2139,
62,
39098,
28,
13396,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
41972,
6143,
2450,
705,
90,
92,
6,
319,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
85,
23656,
705,
90,
92,
6,
1911,
18982,
7,
30586,
14692,
3672,
33116,
410,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
13,
33295,
7,
4895,
3605,
1298,
2450,
11,
366,
727,
1298,
6045,
30072,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
40546,
7,
15944,
58,
12,
16,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
10054,
351,
1306,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2555,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
11819,
477,
814,
82,
1022,
262,
1459,
290,
2938,
2450,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
27713,
775,
30276,
262,
7208,
416,
13148,
356,
423,
379,
749,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
850,
62,
13317,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2450,
13,
1136,
7203,
7266,
5577,
2915,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
30586,
14692,
7266,
5577,
2915,
8973,
8,
1875,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
45751,
11395,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31217,
850,
62,
5577,
2915,
37913,
15,
30072,
389,
407,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15999,
287,
262,
5128,
2450,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
850,
13317,
796,
2450,
14692,
7266,
5577,
2915,
1,
7131,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
7266,
13317,
796,
1459,
62,
30586,
14692,
7266,
5577,
2915,
1,
7131,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
9889,
62,
26069,
263,
796,
1351,
62,
26069,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
7266,
13317,
14692,
11128,
5738,
33116,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
850,
13317,
13,
1136,
7203,
11128,
5738,
1600,
17635,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1994,
2625,
312,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
2450,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
850,
13317,
13,
1136,
7203,
11128,
5738,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
850,
13317,
14692,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1459,
62,
7266,
13317,
14692,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3497,
262,
850,
13317,
814,
82,
1231,
262,
12971,
8251,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
850,
13317,
62,
26069,
263,
796,
45115,
62,
26069,
7,
14421,
62,
7266,
13317,
11,
8633,
7,
7266,
13317,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1459,
62,
30586,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
26069,
263,
796,
45115,
62,
26069,
7,
14421,
62,
30586,
11,
2450,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
26069,
263,
13,
67,
10203,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
393,
9889,
62,
26069,
263,
13,
67,
10203,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
393,
850,
13317,
62,
26069,
263,
13,
67,
10203,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
15179,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
62,
35827,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
11593,
404,
912,
834,
14692,
9288,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2450,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
3803,
329,
1487,
287,
2450,
62,
26069,
263,
13,
36653,
62,
2536,
13,
35312,
7203,
59,
77,
4943,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
850,
13317,
62,
26069,
263,
13,
67,
10203,
393,
9889,
62,
26069,
263,
13,
67,
10203,
25,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
33295,
7203,
7266,
5577,
2915,
25,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
850,
13317,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
220,
23884,
1911,
18982,
7,
3803,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1487,
287,
850,
13317,
62,
26069,
263,
13,
36653,
62,
2536,
13,
35312,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37082,
77,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
9889,
62,
26069,
263,
13,
67,
10203,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
33295,
7203,
220,
9889,
25,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
965,
62,
36653,
13,
2302,
437,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
220,
23884,
1911,
18982,
7,
3803,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1487,
287,
9889,
62,
26069,
263,
13,
36653,
62,
2536,
17,
13,
35312,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37082,
77,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
9012,
23884,
481,
4296,
262,
6143,
2450,
705,
90,
92,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
319,
410,
23656,
705,
90,
92,
6,
7479,
77,
90,
36786,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1911,
18982,
7,
3672,
11,
2450,
14692,
3672,
33116,
410,
16159,
11,
37082,
77,
1911,
22179,
7,
2536,
62,
36653,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
19119,
62,
35350,
62,
30586,
8973,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
28,
14421,
62,
30586,
14692,
3672,
33116,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
62,
11600,
28,
30586,
62,
30073,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2139,
62,
39098,
28,
13396,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
17354,
262,
6143,
2450,
705,
90,
92,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
259,
410,
23656,
705,
90,
92,
29653,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1911,
18982,
7,
30586,
14692,
3672,
33116,
410,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
10951,
7,
15944,
58,
12,
16,
12962,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
10934,
649,
14,
727,
3815,
284,
989,
644,
373,
3421,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
649,
62,
27160,
796,
2450,
62,
26069,
263,
13,
3605,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
649,
62,
27160,
14692,
7266,
5577,
2915,
8973,
796,
685,
7266,
13317,
62,
26069,
263,
13,
3605,
62,
27160,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11128,
5738,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
796,
9889,
62,
26069,
263,
13,
3605,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
649,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
649,
62,
27160,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1468,
62,
27160,
796,
2450,
62,
26069,
263,
13,
727,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1468,
62,
27160,
14692,
7266,
5577,
2915,
8973,
796,
685,
7266,
13317,
62,
26069,
263,
13,
727,
62,
27160,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11128,
5738,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2361,
796,
9889,
62,
26069,
263,
13,
727,
62,
27160,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
7131,
1,
11128,
5738,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
1468,
62,
27160,
14692,
7266,
5577,
2915,
1,
7131,
15,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1619,
1468,
62,
27160,
14692,
7266,
5577,
2915,
8973,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
13,
33295,
7,
4895,
3605,
1298,
649,
62,
27160,
11,
366,
727,
1298,
1468,
62,
27160,
30072,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1400,
814,
82,
1043,
532,
645,
5992,
2672,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3651,
13,
33295,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31425,
2450,
705,
90,
92,
6,
318,
510,
284,
3128,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
18465,
284,
307,
1760,
526,
13,
18982,
7,
30586,
14692,
3672,
8973,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
6381,
8443,
8973,
7,
13396,
8,
198,
220,
220,
220,
2845,
9455,
23002,
1009,
12331,
355,
2859,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
18224,
7203,
12331,
25,
23884,
1911,
18982,
7,
41194,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
611,
33721,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
6381,
8443,
8973,
7,
13396,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
11593,
404,
912,
834,
14692,
9288,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1005,
14692,
20274,
8973,
796,
10352,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19779,
23893,
1298,
2859,
13,
301,
11751,
1472,
11,
366,
20274,
1298,
10352,
611,
407,
11593,
404,
912,
834,
14692,
9288,
8973,
2073,
6045,
92,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1005,
198,
220,
220,
220,
611,
407,
2458,
62,
35827,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
775,
423,
645,
2458,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23893,
1298,
357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3237,
6143,
2450,
287,
410,
23656,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
24018,
90,
92,
6,
318,
9380,
17839,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
18465,
284,
307,
1760,
526,
13,
18982,
7,
85,
16159,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10612,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
20274,
1298,
6407,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23893,
1298,
37082,
77,
1911,
22179,
7,
15944,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
36653,
1298,
19779,
35350,
62,
79,
4160,
444,
1298,
2458,
5512,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
20274,
1298,
6045,
611,
11593,
404,
912,
834,
14692,
9288,
8973,
2073,
6407,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
1441,
1005,
628,
198,
4299,
4277,
62,
35350,
62,
30586,
62,
562,
3916,
7,
3672,
11,
2450,
11,
4818,
459,
382,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2195,
570,
82,
257,
4277,
6143,
2450,
284,
257,
4818,
459,
382,
628,
220,
220,
220,
2450,
198,
220,
220,
220,
220,
220,
220,
220,
6530,
286,
6143,
2450,
628,
220,
220,
220,
4818,
459,
382,
198,
220,
220,
220,
220,
220,
220,
220,
6530,
286,
4818,
459,
382,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2604,
13,
10951,
7,
198,
220,
220,
220,
220,
220,
220,
220,
366,
28768,
1181,
23884,
329,
2450,
705,
90,
92,
3256,
4818,
459,
382,
705,
90,
92,
30827,
198,
220,
220,
220,
220,
220,
220,
220,
366,
1911,
18982,
7,
3672,
11,
2450,
11,
4818,
459,
382,
8,
198,
220,
220,
220,
1267,
198,
220,
220,
220,
2458,
796,
23884,
198,
220,
220,
220,
2458,
62,
35827,
796,
10352,
198,
220,
220,
220,
1005,
796,
19779,
3672,
1298,
1438,
11,
366,
36653,
1298,
1391,
5512,
366,
20274,
1298,
6045,
11,
366,
23893,
1298,
6045,
92,
198,
220,
220,
220,
33721,
796,
6045,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
33721,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
1136,
62,
15271,
62,
39098,
62,
8869,
62,
36436,
8973,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
4683,
62,
30586,
796,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
4868,
62,
12286,
62,
35350,
62,
30586,
62,
1659,
62,
19608,
459,
382,
8973,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4818,
459,
382,
28,
19608,
459,
382,
11,
2139,
62,
39098,
28,
13396,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
611,
4683,
62,
30586,
14692,
3672,
8973,
6624,
2450,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2912,
796,
357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31425,
2450,
705,
90,
92,
6,
318,
1541,
8686,
284,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
19608,
459,
382,
705,
90,
92,
4458,
10528,
284,
307,
1760,
526,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1911,
18982,
7,
30586,
11,
4818,
459,
382,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
62,
35827,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2458,
796,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
12286,
62,
35350,
62,
30586,
1298,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
727,
1298,
4683,
62,
30586,
14692,
3672,
33116,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3605,
1298,
2450,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
11593,
404,
912,
834,
14692,
9288,
1,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2912,
796,
357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
9012,
23884,
481,
8333,
6143,
2450,
705,
90,
92,
6,
284,
4818,
459,
382,
705,
90,
92,
30827,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6739,
18982,
7,
3672,
11,
2450,
11,
4818,
459,
382,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
562,
570,
62,
12286,
62,
35350,
62,
30586,
62,
1462,
62,
19608,
459,
382,
8973,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
28,
30586,
11,
4818,
459,
382,
28,
19608,
459,
382,
11,
2139,
62,
39098,
28,
13396,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2912,
796,
5855,
31425,
2450,
705,
90,
92,
373,
8686,
284,
4818,
459,
382,
705,
90,
92,
30827,
737,
18982,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2450,
11,
1438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
10951,
7,
23893,
8,
198,
220,
220,
220,
2845,
9455,
23002,
1009,
12331,
355,
2859,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
13,
18224,
7203,
12331,
25,
23884,
1911,
18982,
7,
41194,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
611,
33721,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11593,
82,
2501,
834,
14692,
85,
2777,
1456,
13,
6381,
8443,
8973,
7,
13396,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
19779,
23893,
1298,
2859,
13,
301,
11751,
1472,
11,
366,
20274,
1298,
10352,
611,
407,
11593,
404,
912,
834,
14692,
9288,
8973,
2073,
6045,
92,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1005,
628,
220,
220,
220,
1005,
14692,
23893,
8973,
796,
2912,
198,
220,
220,
220,
611,
2458,
62,
35827,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
13,
19119,
7,
4895,
36653,
1298,
2458,
11,
366,
20274,
1298,
6045,
611,
11593,
404,
912,
834,
14692,
9288,
8973,
2073,
6407,
30072,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1005,
14692,
20274,
8973,
796,
6407,
198,
220,
220,
220,
1441,
1005,
198
] | 1.852619 | 11,053 |
# Always prefer setuptools over distutils
from setuptools import setup
setup(
name="mattermostwrapper",
packages=['mattermostwrapper'],
version="2.2",
author="Brian Hopkins",
author_email="[email protected]",
url='https://github.com/btotharye/mattermostwrapper.git',
download_url='https://github.com/btotharye/mattermostwrapper/archive/2.2.tar.gz',
description=("A mattermost api v4 wrapper to interact with api"),
license="MIT",
install_requires=[
'requests',
],
classifiers=[],
)
| [
2,
16622,
4702,
900,
37623,
10141,
625,
1233,
26791,
198,
6738,
900,
37623,
10141,
1330,
9058,
628,
198,
198,
40406,
7,
198,
220,
220,
220,
1438,
2625,
47635,
1712,
48553,
1600,
198,
220,
220,
220,
10392,
28,
17816,
47635,
1712,
48553,
6,
4357,
198,
220,
220,
220,
2196,
2625,
17,
13,
17,
1600,
198,
220,
220,
220,
1772,
2625,
24761,
21183,
1600,
198,
220,
220,
220,
1772,
62,
12888,
2625,
18347,
849,
560,
68,
31,
14816,
13,
785,
1600,
198,
220,
220,
220,
19016,
11639,
5450,
1378,
12567,
13,
785,
14,
18347,
849,
560,
68,
14,
47635,
1712,
48553,
13,
18300,
3256,
198,
220,
220,
220,
4321,
62,
6371,
11639,
5450,
1378,
12567,
13,
785,
14,
18347,
849,
560,
68,
14,
47635,
1712,
48553,
14,
17474,
14,
17,
13,
17,
13,
18870,
13,
34586,
3256,
198,
220,
220,
220,
6764,
28,
7203,
32,
2300,
1712,
40391,
410,
19,
29908,
284,
9427,
351,
40391,
12340,
198,
220,
220,
220,
5964,
2625,
36393,
1600,
198,
220,
220,
220,
2721,
62,
47911,
41888,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
8897,
3558,
3256,
198,
220,
220,
220,
220,
220,
16589,
198,
220,
220,
220,
1398,
13350,
41888,
4357,
198,
8,
628
] | 2.712871 | 202 |
from typing import List
import pytest
import numpy as np
import pandas as pd
from obp.dataset import (
linear_reward_function,
logistic_reward_function,
linear_behavior_policy_logit,
SyntheticSlateBanditDataset,
)
from obp.types import BanditFeedback
# n_unique_action, len_list, dim_context, reward_type, reward_structure, click_model, random_state, description
invalid_input_of_init = [
(
"4",
3,
2,
"binary",
"independent",
"pbm",
1,
"n_unique_action must be an integer larger than 1",
),
(
1,
3,
2,
"binary",
"independent",
"pbm",
1,
"n_unique_action must be an integer larger than 1",
),
(
5,
"4",
2,
"binary",
"independent",
"pbm",
1,
"len_list must be an integer such that",
),
(
5,
-1,
2,
"binary",
"independent",
"pbm",
1,
"len_list must be an integer such that",
),
(
5,
10,
2,
"binary",
"independent",
"pbm",
1,
"len_list must be an integer such that",
),
(
5,
3,
0,
"binary",
"independent",
"pbm",
1,
"dim_context must be a positive integer",
),
(
5,
3,
"2",
"binary",
"independent",
"pbm",
1,
"dim_context must be a positive integer",
),
(5, 3, 2, "aaa", "independent", "pbm", 1, "reward_type must be either"),
(5, 3, 2, "binary", "aaa", "pbm", 1, "reward_structure must be one of"),
(5, 3, 2, "binary", "independent", "aaa", 1, "click_model must be one of"),
(5, 3, 2, "binary", "independent", "pbm", "x", "random_state must be an integer"),
(5, 3, 2, "binary", "independent", "pbm", None, "random_state must be an integer"),
]
@pytest.mark.parametrize(
"n_unique_action, len_list, dim_context, reward_type, reward_structure, click_model, random_state, description",
invalid_input_of_init,
)
# n_unique_action, len_list, dim_context, reward_type, random_state, n_rounds, reward_structure, click_model, behavior_policy_function, reward_function, return_pscore_item_position, description
valid_input_of_obtain_batch_bandit_feedback = [
(
10,
3,
2,
"binary",
123,
1000,
"standard_additive",
None,
linear_behavior_policy_logit,
logistic_reward_function,
False,
"standard_additive",
),
(
10,
3,
2,
"binary",
123,
1000,
"independent",
None,
linear_behavior_policy_logit,
logistic_reward_function,
False,
"independent",
),
(
10,
3,
2,
"binary",
123,
1000,
"cascade_additive",
None,
linear_behavior_policy_logit,
logistic_reward_function,
False,
"cascade_additive",
),
(
10,
3,
2,
"continuous",
123,
1000,
"standard_additive",
None,
linear_behavior_policy_logit,
linear_reward_function,
False,
"standard_additive continuous",
),
(
10,
3,
2,
"continuous",
123,
1000,
"independent",
None,
linear_behavior_policy_logit,
linear_reward_function,
False,
"independent continuous",
),
(
10,
3,
2,
"continuous",
123,
1000,
"cascade_additive",
None,
linear_behavior_policy_logit,
linear_reward_function,
False,
"cascade_additive continuous",
),
(
10,
3,
2,
"continuous",
123,
1000,
"cascade_additive",
None,
None,
None,
False,
"Random policy and reward function (continuous reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"cascade_exponential",
None,
linear_behavior_policy_logit,
logistic_reward_function,
False,
"cascade_exponential (binary reward)",
),
(
10,
3,
2,
"continuous",
123,
1000,
"cascade_exponential",
None,
linear_behavior_policy_logit,
linear_reward_function,
False,
"cascade_exponential (continuous reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"standard_exponential",
None,
linear_behavior_policy_logit,
logistic_reward_function,
False,
"standard_exponential (binary reward)",
),
(
10,
3,
2,
"continuous",
123,
1000,
"standard_exponential",
None,
linear_behavior_policy_logit,
linear_reward_function,
False,
"standard_exponential (continuous reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"cascade_additive",
"cascade",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"cascade_additive, cascade click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"cascade_exponential",
"cascade",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"cascade_exponential, cascade click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"standard_additive",
"cascade",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"standard_additive, cascade click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"standard_exponential",
"cascade",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"standard_exponential, cascade click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"independent",
"cascade",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"independent, cascade click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"cascade_additive",
"pbm",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"cascade_additive, pbm click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"cascade_exponential",
"pbm",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"cascade_exponential, pbm click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"standard_additive",
"pbm",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"standard_additive, pbm click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"standard_exponential",
"pbm",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"standard_exponential, pbm click model (binary reward)",
),
(
10,
3,
2,
"binary",
123,
1000,
"independent",
"pbm",
linear_behavior_policy_logit,
logistic_reward_function,
False,
"independent, pbm click model (binary reward)",
),
]
@pytest.mark.parametrize(
"n_unique_action, len_list, dim_context, reward_type, random_state, n_rounds, reward_structure, click_model, behavior_policy_function, reward_function, return_pscore_item_position, description",
valid_input_of_obtain_batch_bandit_feedback,
)
| [
6738,
19720,
1330,
7343,
198,
198,
11748,
12972,
9288,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
6738,
909,
79,
13,
19608,
292,
316,
1330,
357,
198,
220,
220,
220,
14174,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
26375,
6587,
11122,
378,
31407,
270,
27354,
292,
316,
11,
198,
8,
198,
198,
6738,
909,
79,
13,
19199,
1330,
10243,
270,
18332,
1891,
198,
198,
2,
299,
62,
34642,
62,
2673,
11,
18896,
62,
4868,
11,
5391,
62,
22866,
11,
6721,
62,
4906,
11,
6721,
62,
301,
5620,
11,
3904,
62,
19849,
11,
4738,
62,
5219,
11,
6764,
198,
259,
12102,
62,
15414,
62,
1659,
62,
15003,
796,
685,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
366,
19,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
77,
62,
34642,
62,
2673,
1276,
307,
281,
18253,
4025,
621,
352,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
77,
62,
34642,
62,
2673,
1276,
307,
281,
18253,
4025,
621,
352,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
642,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
19,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
11925,
62,
4868,
1276,
307,
281,
18253,
884,
326,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
642,
11,
198,
220,
220,
220,
220,
220,
220,
220,
532,
16,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
11925,
62,
4868,
1276,
307,
281,
18253,
884,
326,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
642,
11,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
11925,
62,
4868,
1276,
307,
281,
18253,
884,
326,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
642,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
657,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
27740,
62,
22866,
1276,
307,
257,
3967,
18253,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
642,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
17,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
27740,
62,
22866,
1276,
307,
257,
3967,
18253,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
20,
11,
513,
11,
362,
11,
366,
46071,
1600,
366,
34750,
1600,
366,
79,
20475,
1600,
352,
11,
366,
260,
904,
62,
4906,
1276,
307,
2035,
12340,
198,
220,
220,
220,
357,
20,
11,
513,
11,
362,
11,
366,
39491,
1600,
366,
46071,
1600,
366,
79,
20475,
1600,
352,
11,
366,
260,
904,
62,
301,
5620,
1276,
307,
530,
286,
12340,
198,
220,
220,
220,
357,
20,
11,
513,
11,
362,
11,
366,
39491,
1600,
366,
34750,
1600,
366,
46071,
1600,
352,
11,
366,
12976,
62,
19849,
1276,
307,
530,
286,
12340,
198,
220,
220,
220,
357,
20,
11,
513,
11,
362,
11,
366,
39491,
1600,
366,
34750,
1600,
366,
79,
20475,
1600,
366,
87,
1600,
366,
25120,
62,
5219,
1276,
307,
281,
18253,
12340,
198,
220,
220,
220,
357,
20,
11,
513,
11,
362,
11,
366,
39491,
1600,
366,
34750,
1600,
366,
79,
20475,
1600,
6045,
11,
366,
25120,
62,
5219,
1276,
307,
281,
18253,
12340,
198,
60,
628,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7,
198,
220,
220,
220,
366,
77,
62,
34642,
62,
2673,
11,
18896,
62,
4868,
11,
5391,
62,
22866,
11,
6721,
62,
4906,
11,
6721,
62,
301,
5620,
11,
3904,
62,
19849,
11,
4738,
62,
5219,
11,
6764,
1600,
198,
220,
220,
220,
12515,
62,
15414,
62,
1659,
62,
15003,
11,
198,
8,
628,
628,
628,
198,
198,
2,
299,
62,
34642,
62,
2673,
11,
18896,
62,
4868,
11,
5391,
62,
22866,
11,
6721,
62,
4906,
11,
4738,
62,
5219,
11,
299,
62,
744,
82,
11,
6721,
62,
301,
5620,
11,
3904,
62,
19849,
11,
4069,
62,
30586,
62,
8818,
11,
6721,
62,
8818,
11,
1441,
62,
862,
7295,
62,
9186,
62,
9150,
11,
6764,
198,
12102,
62,
15414,
62,
1659,
62,
672,
3153,
62,
43501,
62,
3903,
270,
62,
12363,
1891,
796,
685,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18487,
5623,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
12948,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18487,
5623,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
12948,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18487,
5623,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
12948,
1600,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18487,
5623,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
29531,
2450,
290,
6721,
2163,
357,
18487,
5623,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18487,
5623,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
357,
18487,
5623,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18487,
5623,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
6045,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
357,
18487,
5623,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
11,
44847,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
11,
44847,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
11,
44847,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
11,
44847,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
11,
44847,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
2860,
1800,
11,
279,
20475,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
66,
28966,
62,
11201,
35470,
11,
279,
20475,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
2860,
1800,
11,
279,
20475,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
20307,
62,
11201,
35470,
11,
279,
20475,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
220,
220,
220,
357,
198,
220,
220,
220,
220,
220,
220,
220,
838,
11,
198,
220,
220,
220,
220,
220,
220,
220,
513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
362,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
39491,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
17031,
11,
198,
220,
220,
220,
220,
220,
220,
220,
8576,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
79,
20475,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
14174,
62,
46571,
62,
30586,
62,
6404,
270,
11,
198,
220,
220,
220,
220,
220,
220,
220,
2604,
2569,
62,
260,
904,
62,
8818,
11,
198,
220,
220,
220,
220,
220,
220,
220,
10352,
11,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34750,
11,
279,
20475,
3904,
2746,
357,
39491,
6721,
42501,
198,
220,
220,
220,
10612,
198,
60,
628,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7,
198,
220,
220,
220,
366,
77,
62,
34642,
62,
2673,
11,
18896,
62,
4868,
11,
5391,
62,
22866,
11,
6721,
62,
4906,
11,
4738,
62,
5219,
11,
299,
62,
744,
82,
11,
6721,
62,
301,
5620,
11,
3904,
62,
19849,
11,
4069,
62,
30586,
62,
8818,
11,
6721,
62,
8818,
11,
1441,
62,
862,
7295,
62,
9186,
62,
9150,
11,
6764,
1600,
198,
220,
220,
220,
4938,
62,
15414,
62,
1659,
62,
672,
3153,
62,
43501,
62,
3903,
270,
62,
12363,
1891,
11,
198,
8,
198
] | 1.844304 | 4,573 |
from unittest import TestCase
from mock import Mock, MagicMock
from pyVim.connect import SmartConnect, Disconnect
from pyVmomi import vim
from cloudshell.cp.vcenter.common.vcenter.task_waiter import SynchronousTaskWaiter
from cloudshell.cp.vcenter.common.vcenter.vmomi_service import pyVmomiService
from cloudshell.cp.vcenter.models.VCenterConnectionDetails import VCenterConnectionDetails
from cloudshell.cp.vcenter.network.dvswitch.name_generator import DvPortGroupNameGenerator
from cloudshell.cp.vcenter.network.vnic.vnic_service import VNicService
from cloudshell.cp.vcenter.vm.dvswitch_connector import *
from cloudshell.cp.vcenter.vm.portgroup_configurer import *
from cloudshell.cp.vcenter.vm.vnic_to_network_mapper import VnicToNetworkMapper
from cloudshell.tests.utils.testing_credentials import TestCredentials
| [
6738,
555,
715,
395,
1330,
6208,
20448,
198,
198,
6738,
15290,
1330,
44123,
11,
6139,
44,
735,
198,
6738,
12972,
53,
320,
13,
8443,
1330,
10880,
13313,
11,
3167,
8443,
198,
6738,
12972,
53,
76,
12753,
1330,
43907,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
11321,
13,
85,
16159,
13,
35943,
62,
10247,
2676,
1330,
16065,
11413,
516,
25714,
33484,
2676,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
11321,
13,
85,
16159,
13,
14761,
12753,
62,
15271,
1330,
12972,
53,
76,
12753,
16177,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
27530,
13,
15922,
9255,
32048,
24259,
1330,
569,
23656,
32048,
24259,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
27349,
13,
67,
85,
31943,
13,
3672,
62,
8612,
1352,
1330,
360,
85,
13924,
13247,
5376,
8645,
1352,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
27349,
13,
85,
6988,
13,
85,
6988,
62,
15271,
1330,
569,
30403,
16177,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
14761,
13,
67,
85,
31943,
62,
8443,
273,
1330,
1635,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
14761,
13,
634,
8094,
62,
11250,
15051,
1330,
1635,
198,
6738,
6279,
29149,
13,
13155,
13,
85,
16159,
13,
14761,
13,
85,
6988,
62,
1462,
62,
27349,
62,
76,
11463,
1330,
569,
6988,
2514,
26245,
44,
11463,
198,
6738,
6279,
29149,
13,
41989,
13,
26791,
13,
33407,
62,
66,
445,
14817,
1330,
6208,
34,
445,
14817,
628
] | 3.322581 | 248 |
# -*- encoding: utf-8 -*-
from __future__ import unicode_literals
import logging
import threading
LOGGER = logging.getLogger('keybinder')
def configure_logging(log_level=None):
"""Performs basic logging configuration.
:param log_level: logging level, e.g. logging.DEBUG
Default: logging.INFO
:param show_logger_names: bool - flag to show logger names in output
"""
logging.basicConfig(format='%(levelname)s: %(message)s', level=log_level or logging.INFO)
class KeyBinder(object):
"""Binds keys to functions globally.
.. code-block:: python
def do(): print('do')
KeyBinder.activate({
'Ctrl-K': do,
})
"""
def __init__(self, keymap=None, listen_events=None):
"""
:param dict keymap: Key name to function mapping.
Example:
.. code-block:: python
def do(): print('do')
{
'Ctrl-K': do,
'1': None, # Just intercept.
}
:param int listen_events: X Events or a combination of them.
Examples:
* Xlib.X.KeyPressMask
* Xlib.X.KeyPressMask | Xlib.X.ButtonReleaseMask
"""
from Xlib import X, XK
from Xlib.display import Display
self.x = X
self.xk = XK
self.disp = Display()
self.screen = self.disp.screen().root
self.events = listen_events or self.x.KeyPressMask
self.keymap = keymap or {}
self.mapped = {}
@classmethod
def activate(cls, keymap=None, listen_events=None, run_thread=False):
"""Alternative constructor.
Performs keys binding and runs a listener thread.
:param dict keymap: Key name to function mapping.
:param int listen_events: X Events or a combination of them.
:param bool run_thread: Run a key listening loop in a thread.
:rtype: KeyBinder
"""
binder = cls(keymap=keymap, listen_events=listen_events)
if keymap:
binder.register_keys()
else:
binder.sniff()
if run_thread:
binder.run_thread()
else:
binder.listen()
return binder
def listen(self):
"""Run keys events listening loop."""
events = self.events
screen = self.screen
mapped = self.mapped
while True:
event = screen.display.next_event()
capture = event.type & events
if not capture:
continue
keycode = event.detail
key, handler = mapped.get(keycode, (keycode, None))
if handler:
handler()
else:
LOGGER.info('Intercepted key: %s', key)
def run_thread(self):
"""Runs key events listening loop in a thread."""
grabber = threading.Thread(target=self.listen)
grabber.daemon = True
grabber.start()
def register_key(self, key, modifier_default='NumLock'):
"""Registers a key to listen to.
:param str|unicode|int key: Key name or code.
:param str|unicode modifier_default: Use this modifier if none specified.
:rtype: bool
"""
x = self.x
modifiers_map = {
'Ctrl': x.ControlMask, # 37 105
'Shift': x.ShiftMask, # 50 62
'CapsLock': x.LockMask, # 66
'Alt': x.Mod1Mask, # 64 108
'NumLock': x.Mod2Mask, # 77
'Super': x.Mod4Mask, # 133 134
}
has_error = []
modifier_alias = None
modifiers, keycode = self._parse_key(key)
modifier_alias = modifier_alias or modifier_default
modifier_mask = 0
for modifier in modifiers:
modifier_mask |= modifiers_map[modifier]
# Simulate X.AnyModifier as it leads to BadAccess, as if somebody has already grabbed it before us.
modifiers_all = [
modifier_mask,
modifier_mask | modifiers_map['NumLock'],
modifier_mask | modifiers_map['CapsLock'],
modifier_mask | modifiers_map['NumLock'] | modifiers_map['CapsLock'],
]
for mod in modifiers_all:
self.screen.grab_key(keycode, mod, True, x.GrabModeAsync, x.GrabModeAsync, on_error)
success = not has_error
if success:
self.mapped[keycode] = (key, self.keymap[key])
return success
def register_keys(self):
"""Registers all keys from current keymap."""
# screen.change_attributes(event_mask=capture_events)
for key in self.keymap.keys():
if not self.register_key(key):
LOGGER.warning('Unable to register handler for: %s', key)
def sniff(self):
"""Grab all events. Useful for keycode sniffing."""
x = self.x
self.screen.grab_keyboard(self.events, x.GrabModeAsync, x.GrabModeAsync, x.CurrentTime)
| [
2,
532,
9,
12,
21004,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
11748,
18931,
198,
11748,
4704,
278,
198,
198,
25294,
30373,
796,
18931,
13,
1136,
11187,
1362,
10786,
2539,
65,
5540,
11537,
628,
198,
4299,
17425,
62,
6404,
2667,
7,
6404,
62,
5715,
28,
14202,
2599,
198,
220,
220,
220,
37227,
5990,
23914,
4096,
18931,
8398,
13,
628,
220,
220,
220,
1058,
17143,
2604,
62,
5715,
25,
18931,
1241,
11,
304,
13,
70,
13,
18931,
13,
30531,
198,
220,
220,
220,
220,
220,
220,
220,
15161,
25,
18931,
13,
10778,
628,
220,
220,
220,
1058,
17143,
905,
62,
6404,
1362,
62,
14933,
25,
20512,
532,
6056,
284,
905,
49706,
3891,
287,
5072,
628,
220,
220,
220,
37227,
198,
220,
220,
220,
18931,
13,
35487,
16934,
7,
18982,
11639,
4,
7,
5715,
3672,
8,
82,
25,
4064,
7,
20500,
8,
82,
3256,
1241,
28,
6404,
62,
5715,
393,
18931,
13,
10778,
8,
628,
198,
4871,
7383,
33,
5540,
7,
15252,
2599,
198,
220,
220,
220,
37227,
36180,
82,
8251,
284,
5499,
18309,
13,
628,
220,
220,
220,
220,
220,
220,
220,
11485,
2438,
12,
9967,
3712,
21015,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
825,
466,
33529,
3601,
10786,
4598,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7383,
33,
5540,
13,
39022,
15090,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
40069,
12,
42,
10354,
466,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
32092,
628,
220,
220,
220,
37227,
628,
220,
220,
220,
825,
11593,
15003,
834,
7,
944,
11,
1994,
8899,
28,
14202,
11,
6004,
62,
31534,
28,
14202,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
8633,
1994,
8899,
25,
7383,
1438,
284,
2163,
16855,
13,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17934,
25,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11485,
2438,
12,
9967,
3712,
21015,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
825,
466,
33529,
3601,
10786,
4598,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
40069,
12,
42,
10354,
466,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
16,
10354,
6045,
11,
220,
1303,
2329,
15788,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1782,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
493,
6004,
62,
31534,
25,
1395,
18715,
393,
257,
6087,
286,
606,
13,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
21066,
25,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1635,
1395,
8019,
13,
55,
13,
9218,
13800,
45195,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1635,
1395,
8019,
13,
55,
13,
9218,
13800,
45195,
930,
1395,
8019,
13,
55,
13,
21864,
26362,
45195,
628,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
422,
1395,
8019,
1330,
1395,
11,
1395,
42,
198,
220,
220,
220,
220,
220,
220,
220,
422,
1395,
8019,
13,
13812,
1330,
16531,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
87,
796,
1395,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
87,
74,
796,
1395,
42,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6381,
79,
796,
16531,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
9612,
796,
2116,
13,
6381,
79,
13,
9612,
22446,
15763,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
31534,
796,
6004,
62,
31534,
393,
2116,
13,
87,
13,
9218,
13800,
45195,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
2539,
8899,
796,
1994,
8899,
393,
23884,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
76,
6320,
796,
23884,
628,
220,
220,
220,
2488,
4871,
24396,
198,
220,
220,
220,
825,
15155,
7,
565,
82,
11,
1994,
8899,
28,
14202,
11,
6004,
62,
31534,
28,
14202,
11,
1057,
62,
16663,
28,
25101,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
49788,
23772,
13,
628,
220,
220,
220,
220,
220,
220,
220,
2448,
23914,
8251,
12765,
290,
4539,
257,
24783,
4704,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
8633,
1994,
8899,
25,
7383,
1438,
284,
2163,
16855,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
493,
6004,
62,
31534,
25,
1395,
18715,
393,
257,
6087,
286,
606,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
20512,
1057,
62,
16663,
25,
5660,
257,
1994,
8680,
9052,
287,
257,
4704,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
7383,
33,
5540,
628,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
275,
5540,
796,
537,
82,
7,
2539,
8899,
28,
2539,
8899,
11,
6004,
62,
31534,
28,
4868,
268,
62,
31534,
8,
628,
220,
220,
220,
220,
220,
220,
220,
611,
1994,
8899,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
275,
5540,
13,
30238,
62,
13083,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
275,
5540,
13,
16184,
733,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
611,
1057,
62,
16663,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
275,
5540,
13,
5143,
62,
16663,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
275,
5540,
13,
4868,
268,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
275,
5540,
628,
220,
220,
220,
825,
6004,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
10987,
8251,
2995,
8680,
9052,
526,
15931,
628,
220,
220,
220,
220,
220,
220,
220,
2995,
796,
2116,
13,
31534,
198,
220,
220,
220,
220,
220,
220,
220,
3159,
796,
2116,
13,
9612,
198,
220,
220,
220,
220,
220,
220,
220,
27661,
796,
2116,
13,
76,
6320,
628,
220,
220,
220,
220,
220,
220,
220,
981,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1785,
796,
3159,
13,
13812,
13,
19545,
62,
15596,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8006,
796,
1785,
13,
4906,
1222,
2995,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
8006,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2555,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1994,
8189,
796,
1785,
13,
49170,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1994,
11,
21360,
796,
27661,
13,
1136,
7,
2539,
8189,
11,
357,
2539,
8189,
11,
6045,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
21360,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
21360,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
41605,
30373,
13,
10951,
10786,
9492,
984,
276,
1994,
25,
4064,
82,
3256,
1994,
8,
628,
220,
220,
220,
825,
1057,
62,
16663,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
10987,
82,
1994,
2995,
8680,
9052,
287,
257,
4704,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
5552,
527,
796,
4704,
278,
13,
16818,
7,
16793,
28,
944,
13,
4868,
268,
8,
198,
220,
220,
220,
220,
220,
220,
220,
5552,
527,
13,
6814,
7966,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
5552,
527,
13,
9688,
3419,
628,
220,
220,
220,
825,
7881,
62,
2539,
7,
944,
11,
1994,
11,
23157,
62,
12286,
11639,
33111,
25392,
6,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8081,
6223,
257,
1994,
284,
6004,
284,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
965,
91,
46903,
1098,
91,
600,
1994,
25,
7383,
1438,
393,
2438,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
17143,
965,
91,
46903,
1098,
23157,
62,
12286,
25,
5765,
428,
23157,
611,
4844,
7368,
13,
628,
220,
220,
220,
220,
220,
220,
220,
1058,
81,
4906,
25,
20512,
628,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
2124,
796,
2116,
13,
87,
628,
220,
220,
220,
220,
220,
220,
220,
37395,
62,
8899,
796,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
40069,
10354,
2124,
13,
15988,
45195,
11,
220,
220,
1303,
5214,
220,
13343,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
33377,
10354,
2124,
13,
33377,
45195,
11,
220,
220,
220,
1303,
2026,
220,
8190,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
34,
1686,
25392,
10354,
2124,
13,
25392,
45195,
11,
220,
1303,
7930,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
29161,
10354,
2124,
13,
5841,
16,
45195,
11,
220,
220,
220,
220,
220,
220,
1303,
5598,
220,
15495,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
33111,
25392,
10354,
2124,
13,
5841,
17,
45195,
11,
220,
220,
1303,
8541,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
12442,
10354,
2124,
13,
5841,
19,
45195,
11,
220,
220,
220,
220,
1303,
22169,
220,
22352,
198,
220,
220,
220,
220,
220,
220,
220,
1782,
628,
220,
220,
220,
220,
220,
220,
220,
468,
62,
18224,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
26011,
796,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
37395,
11,
1994,
8189,
796,
2116,
13557,
29572,
62,
2539,
7,
2539,
8,
628,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
26011,
796,
23157,
62,
26011,
393,
23157,
62,
12286,
198,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
27932,
796,
657,
628,
220,
220,
220,
220,
220,
220,
220,
329,
23157,
287,
37395,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
27932,
930,
28,
37395,
62,
8899,
58,
4666,
7483,
60,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
3184,
5039,
1395,
13,
7149,
5841,
7483,
355,
340,
5983,
284,
7772,
15457,
11,
355,
611,
8276,
468,
1541,
13176,
340,
878,
514,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37395,
62,
439,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
27932,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
27932,
930,
37395,
62,
8899,
17816,
33111,
25392,
6,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
27932,
930,
37395,
62,
8899,
17816,
34,
1686,
25392,
6,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23157,
62,
27932,
930,
37395,
62,
8899,
17816,
33111,
25392,
20520,
930,
37395,
62,
8899,
17816,
34,
1686,
25392,
6,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
628,
220,
220,
220,
220,
220,
220,
220,
329,
953,
287,
37395,
62,
439,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
9612,
13,
32393,
62,
2539,
7,
2539,
8189,
11,
953,
11,
6407,
11,
2124,
13,
48400,
19076,
42367,
11,
2124,
13,
48400,
19076,
42367,
11,
319,
62,
18224,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1943,
796,
407,
468,
62,
18224,
628,
220,
220,
220,
220,
220,
220,
220,
611,
1943,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
76,
6320,
58,
2539,
8189,
60,
796,
357,
2539,
11,
2116,
13,
2539,
8899,
58,
2539,
12962,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
1943,
628,
220,
220,
220,
825,
7881,
62,
13083,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8081,
6223,
477,
8251,
422,
1459,
1994,
8899,
526,
15931,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
3159,
13,
3803,
62,
1078,
7657,
7,
15596,
62,
27932,
28,
27144,
495,
62,
31534,
8,
628,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
287,
2116,
13,
2539,
8899,
13,
13083,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
2116,
13,
30238,
62,
2539,
7,
2539,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
41605,
30373,
13,
43917,
10786,
3118,
540,
284,
7881,
21360,
329,
25,
4064,
82,
3256,
1994,
8,
628,
220,
220,
220,
825,
26300,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
48400,
477,
2995,
13,
49511,
329,
1994,
8189,
26300,
278,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
2124,
796,
2116,
13,
87,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
9612,
13,
32393,
62,
2539,
3526,
7,
944,
13,
31534,
11,
2124,
13,
48400,
19076,
42367,
11,
2124,
13,
48400,
19076,
42367,
11,
2124,
13,
11297,
7575,
8,
628
] | 2.18658 | 2,310 |
import json
import dash_html_components as html
import dash
from dash.testing import wait
from dash.dependencies import Input, Output, State, ALL, MATCH
from dash.testing.plugin import *
from .. import BaseDashView
| [
11748,
33918,
198,
11748,
14470,
62,
6494,
62,
5589,
3906,
355,
27711,
198,
11748,
14470,
198,
6738,
14470,
13,
33407,
1330,
4043,
198,
6738,
14470,
13,
45841,
3976,
1330,
23412,
11,
25235,
11,
1812,
11,
11096,
11,
337,
11417,
198,
6738,
14470,
13,
33407,
13,
33803,
1330,
1635,
198,
6738,
11485,
1330,
7308,
43041,
7680,
628,
628,
628,
628,
628,
198
] | 3.688525 | 61 |
__author__ = 'Richard'
TAGGING_RECEIVER = "tagging_receiver"
DISTRIBUTOR = "distributor" | [
834,
9800,
834,
796,
705,
22245,
6,
628,
198,
42197,
38,
2751,
62,
2200,
5222,
38757,
796,
366,
12985,
2667,
62,
260,
39729,
1,
198,
26288,
5446,
9865,
3843,
1581,
796,
366,
17080,
2455,
273,
1
] | 2.5 | 36 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This is the entry point for the command-line interface (CLI) application.
It can be used as a handy facility for running the task from a command line.
.. note::
To learn more about Click visit the
`project website <http://click.pocoo.org/5/>`_. There is also a very
helpful `tutorial video <https://www.youtube.com/watch?v=kNke39OZ2k0>`_.
To learn more about running Luigi, visit the Luigi project's
`Read-The-Docs <http://luigi.readthedocs.io/en/stable/>`_ page.
.. currentmodule:: covid_data_tracker.cli
.. moduleauthor:: Sid Gupta <[email protected]>
"""
import logging
import click
from .__init__ import __version__
from covid_data_tracker.registry import PluginRegistry
from covid_data_tracker.util import plugin_selector, country_downloader
import tabulate
import pandas as pd
LOGGING_LEVELS = {
0: logging.NOTSET,
1: logging.ERROR,
2: logging.WARN,
3: logging.INFO,
4: logging.DEBUG,
} #: a mapping of `verbose` option counts to logging levels
class Info(object):
"""An information object to pass data between CLI functions."""
def __init__(self): # Note: This object must have an empty constructor.
"""Create a new instance."""
self.verbose: int = 0
# pass_info is a decorator for functions that pass 'Info' objects.
#: pylint: disable=invalid-name
pass_info = click.make_pass_decorator(Info, ensure=True)
# Change the options to below to suit the actual options for your task (or
# tasks).
@click.group()
@click.option("--verbose", "-v", count=True, help="Enable verbose output.")
@pass_info
def cli(info: Info, verbose: int):
"""Run covidtracker."""
# Use the verbosity count to determine the logging level...
if verbose > 0:
logging.basicConfig(
level=LOGGING_LEVELS[verbose]
if verbose in LOGGING_LEVELS
else logging.DEBUG
)
click.echo(
click.style(
f"Verbose logging is enabled. "
f"(LEVEL={logging.getLogger().getEffectiveLevel()})",
fg="yellow",
)
)
info.verbose = verbose
@cli.command('list')
@pass_info
def list_countries(_: Info):
"""List all countries for which a plugin is available."""
[click.echo(i) for i in list(PluginRegistry)]
@cli.command()
@click.option("--country", "-c", prompt="Select a country.")
@pass_info
def info(_: Info, country: str):
"""Get country level information on sources and download strategy."""
country_plugin = plugin_selector(country)
info = country_plugin.get_info()
click.echo(tabulate.tabulate(info[1:], info[0]))
@cli.command()
# @click.option("--all", "-A",
# help="Select all countries. (overrides --country)",
# callback=download_all,
# is_flag=True,
# is_eager=True)
@click.option("--country", "-c", help="Select a country.", prompt="Select a country, (or pass nothing to download all)", default="")
@pass_info
def download(_: Info, country: str):
"""Download country level statistics."""
if not country:
click.echo(f"attempting to find available data for every country")
with click.progressbar(list(PluginRegistry)) as countries:
# df = pd.DataFrame()
country_rows = {}
for country in countries:
try:
country_plugin = plugin_selector(country)
country_plugin.fetch()
country_plugin.check_instance_attributes()
country_plugin.create_country_row()
meta = {"Author": country_plugin.AUTHOR,
"Source": country_plugin.UNIQUE_SOURCE,
"Date": country_plugin.DATE}
# if not len(df.columns):
# df.columns = country_plugin.country_row.index
country_rows[country] = dict(country_plugin.country_row,
**meta)
except Exception as e:
print(f"unable to download for {country}")
print(e)
df = pd.DataFrame.from_dict(country_rows, orient="index")
df.to_csv('country_data.csv')
else:
country_downloader(country)
@cli.command()
def version():
"""Get the library version."""
click.echo(click.style(f"{__version__}", bold=True))
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
37811,
198,
1212,
318,
262,
5726,
966,
329,
262,
3141,
12,
1370,
7071,
357,
5097,
40,
8,
3586,
13,
198,
198,
1026,
460,
307,
973,
355,
257,
15728,
6841,
329,
2491,
262,
4876,
422,
257,
3141,
1627,
13,
198,
198,
492,
3465,
3712,
628,
220,
220,
220,
1675,
2193,
517,
546,
6914,
3187,
262,
198,
220,
220,
220,
4600,
16302,
3052,
1279,
4023,
1378,
12976,
13,
79,
420,
2238,
13,
2398,
14,
20,
15913,
63,
44807,
220,
1318,
318,
635,
257,
845,
198,
220,
220,
220,
7613,
4600,
83,
44917,
2008,
1279,
5450,
1378,
2503,
13,
11604,
13,
785,
14,
8340,
30,
85,
28,
74,
45,
365,
2670,
46,
57,
17,
74,
15,
29,
63,
44807,
628,
220,
220,
220,
1675,
2193,
517,
546,
2491,
39139,
11,
3187,
262,
39139,
1628,
338,
198,
220,
220,
220,
4600,
5569,
12,
464,
12,
23579,
82,
1279,
4023,
1378,
2290,
25754,
13,
961,
83,
704,
420,
82,
13,
952,
14,
268,
14,
31284,
15913,
63,
62,
2443,
13,
198,
198,
492,
1459,
21412,
3712,
39849,
312,
62,
7890,
62,
2213,
10735,
13,
44506,
198,
492,
8265,
9800,
3712,
15686,
42095,
1279,
15097,
31,
46324,
934,
13,
1872,
29,
198,
37811,
198,
11748,
18931,
198,
11748,
3904,
198,
6738,
764,
834,
15003,
834,
1330,
11593,
9641,
834,
198,
198,
6738,
39849,
312,
62,
7890,
62,
2213,
10735,
13,
2301,
4592,
1330,
42636,
8081,
4592,
198,
6738,
39849,
312,
62,
7890,
62,
2213,
10735,
13,
22602,
1330,
13877,
62,
19738,
273,
11,
1499,
62,
15002,
263,
198,
11748,
7400,
5039,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
25294,
38,
2751,
62,
2538,
18697,
50,
796,
1391,
198,
220,
220,
220,
657,
25,
18931,
13,
11929,
28480,
11,
198,
220,
220,
220,
352,
25,
18931,
13,
24908,
11,
198,
220,
220,
220,
362,
25,
18931,
13,
37771,
11,
198,
220,
220,
220,
513,
25,
18931,
13,
10778,
11,
198,
220,
220,
220,
604,
25,
18931,
13,
30531,
11,
198,
92,
220,
1303,
25,
257,
16855,
286,
4600,
19011,
577,
63,
3038,
9853,
284,
18931,
2974,
628,
198,
4871,
14151,
7,
15252,
2599,
198,
220,
220,
220,
37227,
2025,
1321,
2134,
284,
1208,
1366,
1022,
43749,
5499,
526,
15931,
628,
220,
220,
220,
825,
11593,
15003,
834,
7,
944,
2599,
220,
1303,
5740,
25,
770,
2134,
1276,
423,
281,
6565,
23772,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
16447,
257,
649,
4554,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
19011,
577,
25,
493,
796,
657,
628,
198,
2,
1208,
62,
10951,
318,
257,
11705,
1352,
329,
5499,
326,
1208,
705,
12360,
6,
5563,
13,
198,
2,
25,
279,
2645,
600,
25,
15560,
28,
259,
12102,
12,
3672,
198,
6603,
62,
10951,
796,
3904,
13,
15883,
62,
6603,
62,
12501,
273,
1352,
7,
12360,
11,
4155,
28,
17821,
8,
628,
198,
2,
9794,
262,
3689,
284,
2174,
284,
6050,
262,
4036,
3689,
329,
534,
4876,
357,
273,
198,
2,
8861,
737,
198,
31,
12976,
13,
8094,
3419,
198,
31,
12976,
13,
18076,
7203,
438,
19011,
577,
1600,
27444,
85,
1600,
954,
28,
17821,
11,
1037,
2625,
36695,
15942,
577,
5072,
19570,
198,
31,
6603,
62,
10951,
198,
4299,
537,
72,
7,
10951,
25,
14151,
11,
15942,
577,
25,
493,
2599,
198,
220,
220,
220,
37227,
10987,
39849,
312,
2213,
10735,
526,
15931,
198,
220,
220,
220,
1303,
5765,
262,
15942,
16579,
954,
284,
5004,
262,
18931,
1241,
986,
198,
220,
220,
220,
611,
15942,
577,
1875,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
18931,
13,
35487,
16934,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1241,
28,
25294,
38,
2751,
62,
2538,
18697,
50,
58,
19011,
577,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
15942,
577,
287,
41605,
38,
2751,
62,
2538,
18697,
50,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
18931,
13,
30531,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
3904,
13,
30328,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3904,
13,
7635,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
1,
13414,
65,
577,
18931,
318,
9343,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
18109,
2538,
18697,
34758,
6404,
2667,
13,
1136,
11187,
1362,
22446,
1136,
44831,
4971,
3419,
30072,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
70,
2625,
36022,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
7508,
13,
19011,
577,
796,
15942,
577,
628,
198,
31,
44506,
13,
21812,
10786,
4868,
11537,
198,
31,
6603,
62,
10951,
198,
4299,
1351,
62,
9127,
1678,
28264,
25,
14151,
2599,
198,
220,
220,
220,
37227,
8053,
477,
2678,
329,
543,
257,
13877,
318,
1695,
526,
15931,
198,
220,
220,
220,
685,
12976,
13,
30328,
7,
72,
8,
329,
1312,
287,
1351,
7,
37233,
8081,
4592,
15437,
628,
198,
31,
44506,
13,
21812,
3419,
198,
31,
12976,
13,
18076,
7203,
438,
19315,
1600,
27444,
66,
1600,
6152,
2625,
17563,
257,
1499,
19570,
198,
31,
6603,
62,
10951,
198,
4299,
7508,
28264,
25,
14151,
11,
1499,
25,
965,
2599,
198,
220,
220,
220,
37227,
3855,
1499,
1241,
1321,
319,
4237,
290,
4321,
4811,
526,
15931,
198,
220,
220,
220,
1499,
62,
33803,
796,
13877,
62,
19738,
273,
7,
19315,
8,
198,
220,
220,
220,
7508,
796,
1499,
62,
33803,
13,
1136,
62,
10951,
3419,
198,
220,
220,
220,
3904,
13,
30328,
7,
8658,
5039,
13,
8658,
5039,
7,
10951,
58,
16,
25,
4357,
7508,
58,
15,
60,
4008,
628,
198,
198,
31,
44506,
13,
21812,
3419,
198,
2,
2488,
12976,
13,
18076,
7203,
438,
439,
1600,
27444,
32,
1600,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
17563,
477,
2678,
13,
357,
2502,
81,
1460,
1377,
19315,
42501,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23838,
28,
15002,
62,
439,
11,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
318,
62,
32109,
28,
17821,
11,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
318,
62,
68,
3536,
28,
17821,
8,
198,
31,
12976,
13,
18076,
7203,
438,
19315,
1600,
27444,
66,
1600,
1037,
2625,
17563,
257,
1499,
33283,
6152,
2625,
17563,
257,
1499,
11,
357,
273,
1208,
2147,
284,
4321,
477,
42501,
4277,
2625,
4943,
198,
31,
6603,
62,
10951,
198,
4299,
4321,
28264,
25,
14151,
11,
1499,
25,
965,
2599,
198,
220,
220,
220,
37227,
10002,
1499,
1241,
7869,
526,
15931,
198,
220,
220,
220,
611,
407,
1499,
25,
198,
220,
220,
220,
220,
220,
220,
220,
3904,
13,
30328,
7,
69,
1,
1078,
1791,
278,
284,
1064,
1695,
1366,
329,
790,
1499,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
351,
3904,
13,
33723,
5657,
7,
4868,
7,
37233,
8081,
4592,
4008,
355,
2678,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
47764,
796,
279,
67,
13,
6601,
19778,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
8516,
796,
23884,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1499,
287,
2678,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
33803,
796,
13877,
62,
19738,
273,
7,
19315,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
33803,
13,
69,
7569,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
33803,
13,
9122,
62,
39098,
62,
1078,
7657,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
33803,
13,
17953,
62,
19315,
62,
808,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13634,
796,
19779,
13838,
1298,
1499,
62,
33803,
13,
32,
24318,
1581,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
7416,
1298,
1499,
62,
33803,
13,
4944,
33866,
8924,
62,
47690,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10430,
1298,
1499,
62,
33803,
13,
35,
6158,
92,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
611,
407,
18896,
7,
7568,
13,
28665,
82,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
47764,
13,
28665,
82,
796,
1499,
62,
33803,
13,
19315,
62,
808,
13,
9630,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
8516,
58,
19315,
60,
796,
8633,
7,
19315,
62,
33803,
13,
19315,
62,
808,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12429,
28961,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
35528,
355,
304,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
69,
1,
403,
540,
284,
4321,
329,
1391,
19315,
92,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
68,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
796,
279,
67,
13,
6601,
19778,
13,
6738,
62,
11600,
7,
19315,
62,
8516,
11,
11367,
2625,
9630,
4943,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
1462,
62,
40664,
10786,
19315,
62,
7890,
13,
40664,
11537,
628,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1499,
62,
15002,
263,
7,
19315,
8,
628,
198,
31,
44506,
13,
21812,
3419,
198,
4299,
2196,
33529,
198,
220,
220,
220,
37227,
3855,
262,
5888,
2196,
526,
15931,
198,
220,
220,
220,
3904,
13,
30328,
7,
12976,
13,
7635,
7,
69,
1,
90,
834,
9641,
834,
92,
1600,
10758,
28,
17821,
4008,
198
] | 2.359811 | 1,901 |
from ..util import run
| [
6738,
11485,
22602,
1330,
1057,
628
] | 4 | 6 |
import click
import pandas as pd
import tensorflow as tf
@click.command()
@click.argument("src", nargs=-1)
@click.argument("dst", nargs=1)
@click.option(
"--type", type=str, default="tf", help="Type of datasets to merge."
) # noqa
@click.option("--debug", is_flag=True, help="Set level logging to DEBUG.")
def merge(src, dst, type, debug):
"""
Merges existing datasets into a single one.
"""
if debug:
tf.logging.set_verbosity(tf.logging.DEBUG)
else:
tf.logging.set_verbosity(tf.logging.INFO)
tf.logging.info('Saving records to "{}"'.format(dst))
if type == "tf":
writer = tf.python_io.TFRecordWriter(dst)
total_records = 0
for src_file in src:
total_src_records = 0
for record in tf.python_io.tf_record_iterator(src_file):
writer.write(record)
total_src_records += 1
total_records += 1
tf.logging.info(
'Saved {} records from "{}"'.format(total_src_records, src_file)
)
tf.logging.info('Saved {} to "{}"'.format(total_records, dst))
writer.close()
elif type == "csv":
total_records = 0
dfs = []
for src_file in src:
df = pd.read_csv(src_file, sep=",")
total_src_records = len(df)
tf.logging.info(
'Saved {} csv records from "{}"'.format(total_src_records, src_file)
)
total_records += total_src_records
dfs.append(df)
merged_df = pd.concat(dfs)
merged_df.reset_index(drop=True, inplace=True)
tf.logging.info('Saved {} to "{}"'.format(total_records, dst))
merged_df.to_csv(dst)
| [
11748,
3904,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
11192,
273,
11125,
355,
48700,
628,
198,
31,
12976,
13,
21812,
3419,
198,
31,
12976,
13,
49140,
7203,
10677,
1600,
299,
22046,
10779,
16,
8,
198,
31,
12976,
13,
49140,
7203,
67,
301,
1600,
299,
22046,
28,
16,
8,
198,
31,
12976,
13,
18076,
7,
198,
220,
220,
220,
366,
438,
4906,
1600,
2099,
28,
2536,
11,
4277,
2625,
27110,
1600,
1037,
2625,
6030,
286,
40522,
284,
20121,
526,
198,
8,
220,
1303,
645,
20402,
198,
31,
12976,
13,
18076,
7203,
438,
24442,
1600,
318,
62,
32109,
28,
17821,
11,
1037,
2625,
7248,
1241,
18931,
284,
16959,
19570,
198,
4299,
20121,
7,
10677,
11,
29636,
11,
2099,
11,
14257,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
4638,
3212,
4683,
40522,
656,
257,
2060,
530,
13,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
611,
14257,
25,
198,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
6404,
2667,
13,
2617,
62,
19011,
16579,
7,
27110,
13,
6404,
2667,
13,
30531,
8,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
6404,
2667,
13,
2617,
62,
19011,
16579,
7,
27110,
13,
6404,
2667,
13,
10778,
8,
628,
220,
220,
220,
48700,
13,
6404,
2667,
13,
10951,
10786,
50,
2703,
4406,
284,
45144,
36786,
4458,
18982,
7,
67,
301,
4008,
628,
220,
220,
220,
611,
2099,
6624,
366,
27110,
1298,
198,
220,
220,
220,
220,
220,
220,
220,
6260,
796,
48700,
13,
29412,
62,
952,
13,
10234,
23739,
34379,
7,
67,
301,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
8344,
3669,
796,
657,
628,
220,
220,
220,
220,
220,
220,
220,
329,
12351,
62,
7753,
287,
12351,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
10677,
62,
8344,
3669,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1700,
287,
48700,
13,
29412,
62,
952,
13,
27110,
62,
22105,
62,
48727,
7,
10677,
62,
7753,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6260,
13,
13564,
7,
22105,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
10677,
62,
8344,
3669,
15853,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
8344,
3669,
15853,
352,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
6404,
2667,
13,
10951,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
50,
9586,
23884,
4406,
422,
45144,
36786,
4458,
18982,
7,
23350,
62,
10677,
62,
8344,
3669,
11,
12351,
62,
7753,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
6404,
2667,
13,
10951,
10786,
50,
9586,
23884,
284,
45144,
36786,
4458,
18982,
7,
23350,
62,
8344,
3669,
11,
29636,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
6260,
13,
19836,
3419,
198,
220,
220,
220,
1288,
361,
2099,
6624,
366,
40664,
1298,
198,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
8344,
3669,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
288,
9501,
796,
17635,
628,
220,
220,
220,
220,
220,
220,
220,
329,
12351,
62,
7753,
287,
12351,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
796,
279,
67,
13,
961,
62,
40664,
7,
10677,
62,
7753,
11,
41767,
28,
2430,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
10677,
62,
8344,
3669,
796,
18896,
7,
7568,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
6404,
2667,
13,
10951,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
50,
9586,
23884,
269,
21370,
4406,
422,
45144,
36786,
4458,
18982,
7,
23350,
62,
10677,
62,
8344,
3669,
11,
12351,
62,
7753,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1267,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
8344,
3669,
15853,
2472,
62,
10677,
62,
8344,
3669,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
288,
9501,
13,
33295,
7,
7568,
8,
628,
220,
220,
220,
220,
220,
220,
220,
23791,
62,
7568,
796,
279,
67,
13,
1102,
9246,
7,
7568,
82,
8,
198,
220,
220,
220,
220,
220,
220,
220,
23791,
62,
7568,
13,
42503,
62,
9630,
7,
14781,
28,
17821,
11,
287,
5372,
28,
17821,
8,
628,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
6404,
2667,
13,
10951,
10786,
50,
9586,
23884,
284,
45144,
36786,
4458,
18982,
7,
23350,
62,
8344,
3669,
11,
29636,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
23791,
62,
7568,
13,
1462,
62,
40664,
7,
67,
301,
8,
198
] | 2.075089 | 839 |
# -*- coding: utf-8 -*-
"""
Created on Sat Oct 25 20:34:32 2014
@author: Imane
"""
import numpy as np
import matplotlib.pyplot as plt
#from os import listdir
#from os.path import isfile, join
#from zscoring import zscoringNII
#from masking import maskdata
from sklearn.decomposition import PCA
from k_means import kmeans
#Applying PCA and plotting
fn = "dataZM\dataMask2.npy"
d=np.load(fn)
pca = PCA(n_components=2)
pca.fit(d)
dpca=pca.transform(d)
plt.scatter(dpca[:,0], dpca[:,1], marker='o', color='b')
#Applying kmeans and plotting
idx, ctrs = kmeans(dpca, 2)
plt.scatter(dpca[(idx==0),0], dpca[(idx==0),1], marker='o', color='r')
plt.scatter(dpca[(idx==1),0], dpca[(idx==1),1], marker='o', color='b')
plt.scatter(ctrs[:,0], ctrs[:,1], marker='o', color='k', linewidths=5)
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
7031,
2556,
1679,
1160,
25,
2682,
25,
2624,
1946,
198,
198,
31,
9800,
25,
314,
805,
68,
198,
37811,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
2,
6738,
28686,
1330,
1351,
15908,
198,
2,
6738,
28686,
13,
6978,
1330,
318,
7753,
11,
4654,
198,
2,
6738,
1976,
46536,
1330,
1976,
46536,
45,
3978,
198,
2,
6738,
9335,
278,
1330,
9335,
7890,
198,
6738,
1341,
35720,
13,
12501,
296,
9150,
1330,
4217,
32,
198,
6738,
479,
62,
1326,
504,
1330,
479,
1326,
504,
198,
198,
2,
4677,
3157,
4217,
32,
290,
29353,
198,
22184,
796,
366,
7890,
57,
44,
59,
7890,
45195,
17,
13,
77,
9078,
1,
198,
67,
28,
37659,
13,
2220,
7,
22184,
8,
198,
79,
6888,
796,
4217,
32,
7,
77,
62,
5589,
3906,
28,
17,
8,
198,
79,
6888,
13,
11147,
7,
67,
8,
198,
26059,
6888,
28,
79,
6888,
13,
35636,
7,
67,
8,
198,
198,
489,
83,
13,
1416,
1436,
7,
26059,
6888,
58,
45299,
15,
4357,
288,
79,
6888,
58,
45299,
16,
4357,
18364,
11639,
78,
3256,
3124,
11639,
65,
11537,
628,
198,
2,
4677,
3157,
479,
1326,
504,
290,
29353,
198,
312,
87,
11,
269,
2213,
82,
796,
479,
1326,
504,
7,
26059,
6888,
11,
362,
8,
198,
198,
489,
83,
13,
1416,
1436,
7,
26059,
6888,
58,
7,
312,
87,
855,
15,
828,
15,
4357,
288,
79,
6888,
58,
7,
312,
87,
855,
15,
828,
16,
4357,
18364,
11639,
78,
3256,
3124,
11639,
81,
11537,
198,
489,
83,
13,
1416,
1436,
7,
26059,
6888,
58,
7,
312,
87,
855,
16,
828,
15,
4357,
288,
79,
6888,
58,
7,
312,
87,
855,
16,
828,
16,
4357,
18364,
11639,
78,
3256,
3124,
11639,
65,
11537,
198,
489,
83,
13,
1416,
1436,
7,
310,
3808,
58,
45299,
15,
4357,
269,
2213,
82,
58,
45299,
16,
4357,
18364,
11639,
78,
3256,
3124,
11639,
74,
3256,
9493,
413,
5649,
82,
28,
20,
8,
198
] | 2.263006 | 346 |
from flask import Flask, request, jsonify, make_response
from flask_restplus import Api, Resource, fields
import joblib
import numpy as np
from nltk.corpus import stopwords
import nltk
import json
import stanza
import pandas as pd
from nltk.probability import FreqDist
pd.set_option("display.max_colwidth", 200)
import numpy as np
import re
import spacy
import gensim
from gensim import corpora
import pyLDAvis
import pyLDAvis.gensim
import matplotlib.pyplot as plt
import seaborn as sns
from os.path import isfile, join
from os import listdir
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.corpus import stopwords
from sklearn.preprocessing import normalize
flask_app = Flask(__name__)
app = Api(app = flask_app,
version = "2.0",
title = "Classificador de Assuntos de Acórdãos do TCU",
description = "Prediz o assunto de acórdãos do TCU")
name_space = app.namespace('prediction', description='Prediction APIs')
model = app.model('Prediction params',
{'sepalLength': fields.Float(required = True,
description="Sepal Length",
help="Sepal Length cannot be blank"),
'sepalWidth': fields.Float(required = True,
description="Sepal Width",
help="Sepal Width cannot be blank"),
'petalLength': fields.Float(required = True,
description="Petal Length",
help="Petal Length cannot be blank"),
'petalWidth': fields.Float(required = True,
description="Petal Width",
help="Petal Width cannot be blank")})
classifier = joblib.load('classifier.joblib')
df = joblib.load('df.jolib')
tf_idf_array = joblib.load('tf_idf_array.joblib')
textos = joblib.load('data.joblib')
@name_space.route("/") | [
6738,
42903,
1330,
46947,
11,
2581,
11,
33918,
1958,
11,
787,
62,
26209,
198,
6738,
42903,
62,
2118,
9541,
1330,
5949,
72,
11,
20857,
11,
7032,
198,
11748,
1693,
8019,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
299,
2528,
74,
13,
10215,
79,
385,
1330,
2245,
10879,
198,
11748,
299,
2528,
74,
198,
11748,
33918,
198,
11748,
336,
35819,
198,
11748,
19798,
292,
355,
279,
67,
220,
198,
6738,
299,
2528,
74,
13,
1676,
65,
1799,
1330,
4848,
80,
20344,
198,
30094,
13,
2617,
62,
18076,
7203,
13812,
13,
9806,
62,
4033,
10394,
1600,
939,
8,
220,
198,
11748,
299,
32152,
355,
45941,
220,
198,
11748,
302,
220,
198,
11748,
599,
1590,
220,
198,
11748,
308,
641,
320,
220,
198,
6738,
308,
641,
320,
1330,
3990,
64,
198,
11748,
12972,
43,
5631,
4703,
220,
198,
11748,
12972,
43,
5631,
4703,
13,
70,
641,
320,
220,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
220,
198,
11748,
384,
397,
1211,
355,
3013,
82,
198,
6738,
28686,
13,
6978,
1330,
318,
7753,
11,
4654,
198,
6738,
28686,
1330,
1351,
15908,
198,
6738,
1341,
35720,
13,
30053,
62,
2302,
7861,
13,
5239,
1330,
309,
69,
312,
69,
38469,
7509,
198,
6738,
299,
2528,
74,
13,
10215,
79,
385,
1330,
2245,
10879,
198,
6738,
1341,
35720,
13,
3866,
36948,
1330,
3487,
1096,
198,
198,
2704,
2093,
62,
1324,
796,
46947,
7,
834,
3672,
834,
8,
198,
198,
1324,
796,
5949,
72,
7,
1324,
796,
42903,
62,
1324,
11,
220,
198,
197,
197,
220,
2196,
796,
366,
17,
13,
15,
1600,
220,
198,
197,
197,
220,
3670,
796,
366,
9487,
811,
7079,
390,
2195,
2797,
418,
390,
4013,
10205,
4372,
26102,
418,
466,
44914,
1600,
220,
198,
197,
197,
220,
6764,
796,
366,
39156,
528,
267,
840,
403,
1462,
390,
936,
10205,
4372,
26102,
418,
466,
44914,
4943,
198,
198,
3672,
62,
13200,
796,
598,
13,
14933,
10223,
10786,
28764,
2867,
3256,
6764,
11639,
39156,
2867,
23113,
11537,
198,
198,
19849,
796,
598,
13,
19849,
10786,
39156,
2867,
42287,
3256,
220,
198,
197,
197,
197,
197,
220,
1391,
6,
325,
18596,
24539,
10354,
7032,
13,
43879,
7,
35827,
796,
6407,
11,
220,
198,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
197,
197,
197,
220,
220,
6764,
2625,
19117,
282,
22313,
1600,
220,
198,
220,
220,
220,
220,
197,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
220,
197,
220,
220,
1037,
2625,
19117,
282,
22313,
2314,
307,
9178,
12340,
198,
197,
197,
197,
197,
220,
705,
325,
18596,
30916,
10354,
7032,
13,
43879,
7,
35827,
796,
6407,
11,
220,
198,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
197,
197,
197,
220,
220,
6764,
2625,
19117,
282,
38807,
1600,
220,
198,
220,
220,
220,
220,
197,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
220,
197,
220,
220,
1037,
2625,
19117,
282,
38807,
2314,
307,
9178,
12340,
198,
197,
197,
197,
197,
220,
705,
6449,
282,
24539,
10354,
7032,
13,
43879,
7,
35827,
796,
6407,
11,
220,
198,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
197,
197,
197,
11213,
2625,
25803,
282,
22313,
1600,
220,
198,
220,
220,
220,
220,
197,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
220,
197,
16794,
2625,
25803,
282,
22313,
2314,
307,
9178,
12340,
198,
197,
197,
197,
197,
220,
705,
6449,
282,
30916,
10354,
7032,
13,
43879,
7,
35827,
796,
6407,
11,
220,
198,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
197,
197,
197,
11213,
2625,
25803,
282,
38807,
1600,
220,
198,
220,
220,
220,
220,
197,
197,
197,
197,
197,
220,
220,
197,
197,
197,
197,
220,
197,
16794,
2625,
25803,
282,
38807,
2314,
307,
9178,
4943,
30072,
198,
198,
4871,
7483,
796,
1693,
8019,
13,
2220,
10786,
4871,
7483,
13,
21858,
8019,
11537,
198,
7568,
796,
1693,
8019,
13,
2220,
10786,
7568,
13,
73,
349,
571,
11537,
198,
27110,
62,
312,
69,
62,
18747,
796,
1693,
8019,
13,
2220,
10786,
27110,
62,
312,
69,
62,
18747,
13,
21858,
8019,
11537,
198,
5239,
418,
796,
1693,
8019,
13,
2220,
10786,
7890,
13,
21858,
8019,
11537,
198,
198,
31,
3672,
62,
13200,
13,
38629,
7203,
14,
4943
] | 2.56 | 700 |
"""
刷新指数日线数据
"""
import time
from multiprocessing import Pool
import pandas as pd
from retry.api import retry_call
from ..mongodb import get_db
from ..setting.constants import MAIN_INDEX, MARKET_START, MAX_WORKER
from ..utils import ensure_dtypes
from ..utils.db_utils import to_dict
from ..utils.log_utils import make_logger
from ..websource.wy import fetch_history, get_index_base
logger = make_logger('网易指数日线')
db_name = "wy_index_daily"
col_dtypes = {
'd_cols': ['日期'],
's_cols': ['股票代码', '名称'],
'i_cols': ['成交量', '成交笔数'],
}
| [
37811,
198,
198,
26344,
115,
23877,
108,
162,
234,
229,
46763,
108,
33768,
98,
163,
118,
123,
46763,
108,
162,
235,
106,
198,
198,
37811,
198,
11748,
640,
198,
6738,
18540,
305,
919,
278,
1330,
19850,
198,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
1005,
563,
13,
15042,
1330,
1005,
563,
62,
13345,
198,
198,
6738,
11485,
31059,
375,
65,
1330,
651,
62,
9945,
198,
6738,
11485,
33990,
13,
9979,
1187,
1330,
8779,
1268,
62,
12115,
6369,
11,
39641,
2767,
62,
2257,
7227,
11,
25882,
62,
33249,
1137,
198,
6738,
11485,
26791,
1330,
4155,
62,
67,
19199,
198,
6738,
11485,
26791,
13,
9945,
62,
26791,
1330,
284,
62,
11600,
198,
6738,
11485,
26791,
13,
6404,
62,
26791,
1330,
787,
62,
6404,
1362,
198,
6738,
11485,
732,
1443,
1668,
13,
21768,
1330,
21207,
62,
23569,
11,
651,
62,
9630,
62,
8692,
198,
198,
6404,
1362,
796,
787,
62,
6404,
1362,
10786,
163,
121,
239,
23626,
241,
162,
234,
229,
46763,
108,
33768,
98,
163,
118,
123,
11537,
198,
9945,
62,
3672,
796,
366,
21768,
62,
9630,
62,
29468,
1,
198,
4033,
62,
67,
19199,
796,
1391,
198,
220,
220,
220,
705,
67,
62,
4033,
82,
10354,
37250,
33768,
98,
17312,
253,
6,
4357,
198,
220,
220,
220,
705,
82,
62,
4033,
82,
10354,
37250,
164,
224,
94,
163,
98,
101,
47987,
163,
254,
223,
3256,
705,
28938,
235,
163,
100,
108,
6,
4357,
198,
220,
220,
220,
705,
72,
62,
4033,
82,
10354,
37250,
22755,
238,
12859,
97,
34932,
237,
3256,
705,
22755,
238,
12859,
97,
163,
105,
242,
46763,
108,
6,
4357,
198,
92,
628,
628,
628
] | 2.048327 | 269 |
import unittest
from ._common import *
from Phen2Gene import Phen2Gene
FOLDER = 'exec'
KBASE_PATH = os.environ.get('KBASE_PATH', '/kbase')
| [
11748,
555,
715,
395,
198,
198,
6738,
47540,
11321,
1330,
1635,
198,
198,
6738,
34828,
17,
39358,
1330,
34828,
17,
39358,
198,
198,
37,
3535,
14418,
796,
705,
18558,
6,
198,
198,
22764,
11159,
62,
34219,
796,
28686,
13,
268,
2268,
13,
1136,
10786,
22764,
11159,
62,
34219,
3256,
31051,
74,
8692,
11537,
198
] | 2.648148 | 54 |
import math
import numpy as np
from rllab.envs.mujoco.gather.gather_env import GatherEnv
from sandbox.finetuning.envs.mujoco.snake_env import SnakeEnv
APPLE = 0
BOMB = 1
| [
11748,
10688,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
374,
297,
397,
13,
268,
14259,
13,
76,
23577,
25634,
13,
70,
1032,
13,
70,
1032,
62,
24330,
1330,
402,
1032,
4834,
85,
198,
6738,
35204,
13,
15643,
316,
46493,
13,
268,
14259,
13,
76,
23577,
25634,
13,
16184,
539,
62,
24330,
1330,
16705,
4834,
85,
198,
198,
2969,
16437,
796,
657,
198,
33,
2662,
33,
796,
352,
628
] | 2.492754 | 69 |
"""Get RWIS FTP password from the database settings"""
from __future__ import print_function
from pyiem.util import get_properties
def main():
"""Go Main Go"""
props = get_properties()
print(props['rwis_ftp_password'])
if __name__ == '__main__':
main()
| [
37811,
3855,
33212,
1797,
45854,
9206,
422,
262,
6831,
6460,
37811,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
6738,
12972,
26597,
13,
22602,
1330,
651,
62,
48310,
628,
198,
4299,
1388,
33529,
198,
220,
220,
220,
37227,
5247,
8774,
1514,
37811,
198,
220,
220,
220,
25744,
796,
651,
62,
48310,
3419,
198,
220,
220,
220,
3601,
7,
1676,
862,
17816,
31653,
271,
62,
701,
79,
62,
28712,
6,
12962,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 3 | 91 |
import time
import json
import functools
from math import atan2
import matplotlib.pyplot as plt
# Debug func
# Plotting points/hull
# Graham Func
#Assumption -> Input is vertices of polygon given in order (CCW) starting with leftmost point
if __name__ == "__main__":
a = [[0,0] , [5,0] , [6,1] , [3,2] , [7,5] , [2,3] , [0,5] , [1,2]]
H = graham(a)
count=0
j=0
i=0
flag = 0
# Finding pockets comparing convex hull and given vertices
while j < len(H):
# print(i,j)
if a[i] == H[j]:
i+=1
j+=1
if flag == 1:
flag = 0
count+=1
else:
i+=1
if flag == 0:
flag = 1
count+=1
# print(i,j)
if i < len(a):
count+=1
if count%2 == 0:
n = count//2
else:
n = count//2 + 1
print("Number of pockets is {}".format(n))
plot(a,H,1,a) | [
11748,
640,
198,
11748,
33918,
198,
11748,
1257,
310,
10141,
198,
6738,
10688,
1330,
379,
272,
17,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
2,
31687,
25439,
198,
198,
2,
28114,
889,
2173,
14,
71,
724,
198,
198,
2,
11520,
11138,
66,
198,
198,
2,
8021,
24098,
4613,
23412,
318,
9421,
1063,
286,
7514,
14520,
1813,
287,
1502,
357,
4093,
54,
8,
3599,
351,
1364,
1712,
966,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
257,
796,
16410,
15,
11,
15,
60,
837,
685,
20,
11,
15,
60,
837,
685,
21,
11,
16,
60,
837,
685,
18,
11,
17,
60,
837,
685,
22,
11,
20,
60,
837,
685,
17,
11,
18,
60,
837,
685,
15,
11,
20,
60,
837,
685,
16,
11,
17,
11907,
198,
220,
220,
220,
367,
796,
7933,
2763,
7,
64,
8,
198,
220,
220,
220,
220,
198,
220,
220,
220,
954,
28,
15,
198,
220,
220,
220,
474,
28,
15,
198,
220,
220,
220,
1312,
28,
15,
198,
220,
220,
220,
6056,
796,
657,
628,
220,
220,
220,
1303,
27063,
16511,
14176,
24748,
87,
23644,
290,
1813,
9421,
1063,
198,
220,
220,
220,
981,
474,
1279,
18896,
7,
39,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
3601,
7,
72,
11,
73,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
257,
58,
72,
60,
6624,
367,
58,
73,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1312,
47932,
16,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
474,
47932,
16,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
6056,
6624,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6056,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
954,
47932,
16,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1312,
47932,
16,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
6056,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6056,
796,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
954,
47932,
16,
198,
220,
220,
220,
1303,
3601,
7,
72,
11,
73,
8,
198,
220,
220,
220,
611,
1312,
1279,
18896,
7,
64,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
954,
47932,
16,
198,
220,
220,
220,
611,
954,
4,
17,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
299,
796,
954,
1003,
17,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
299,
796,
954,
1003,
17,
1343,
352,
198,
220,
220,
220,
3601,
7203,
15057,
286,
16511,
318,
23884,
1911,
18982,
7,
77,
4008,
198,
220,
220,
220,
7110,
7,
64,
11,
39,
11,
16,
11,
64,
8
] | 1.851852 | 513 |
# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd.
# MIT License. See license.txt
# For license information, please see license.txt
from __future__ import unicode_literals
import webnotes
from webnotes import _
@webnotes.whitelist(allow_roles=["System Manager", "Administrator"])
| [
2,
15069,
357,
66,
8,
2211,
11,
5313,
11822,
21852,
18367,
83,
13,
12052,
13,
198,
2,
17168,
13789,
13,
4091,
5964,
13,
14116,
198,
198,
2,
1114,
5964,
1321,
11,
3387,
766,
5964,
13,
14116,
198,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
11748,
3992,
17815,
198,
6738,
3992,
17815,
1330,
4808,
198,
198,
31,
12384,
17815,
13,
1929,
270,
46331,
7,
12154,
62,
305,
829,
28,
14692,
11964,
9142,
1600,
366,
41862,
12392,
8973,
8,
198
] | 3.457831 | 83 |
from tsadm.log import TSAdmLogger
from tsadm.views.base import TSAdmView
logger = TSAdmLogger(__name__)
| [
6738,
40379,
324,
76,
13,
6404,
1330,
26136,
2782,
76,
11187,
1362,
198,
6738,
40379,
324,
76,
13,
33571,
13,
8692,
1330,
26136,
2782,
76,
7680,
198,
198,
6404,
1362,
796,
26136,
2782,
76,
11187,
1362,
7,
834,
3672,
834,
8,
198
] | 2.5 | 42 |
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 5 16:54:20 2017
@author: HeyDude
"""
import os
import json
import warnings
import logging
import pydicom
import SimpleITK as sitk
import SimpleDicomToolkit as sdtk
VERSION = 0.93
class Database(sdtk.Logger):
""" Creates a Sqlite3 table from a list of dicom files. Each header entry
is stored in a seperate column. Sequences are stored in a single column """
_path = None
_DATABASE_FILE = 'minidicom.db' # default file name for database
_images = None # cache dict with images
_image = None # cache single image
_headers = None # cache list of headers
_tagnames = None # cache for tagnames in current selection
_MAX_FILES = 5000 # max number of files to be read by property images
_sort_slices_by = None # Dicom field name to sort slices by field value
#_LOG_LEVEL = logging.DEBUG
def __init__(self, path, force_rebuild=False, scan=True, silent=False,
SUV=True, in_memory=False, use_private_tags=False):
"""
Create a dicom database from path
force_rebuild: Deletes the database file and generates a new database
scan: Scans for all dicom files in the path and updates
the database. Missing files will be removed as well
silent: Supress progressbar and log messages except errors
in_memory: Don't save database to disk. Creates a temporary
database in memory.
use_private_tags: Set to True to include private tags in the database.
[Experimental]
"""
if silent:
self._LOG_LEVEL = logging.ERROR
super().__init__()
self.builder = DatabaseBuilder(path=path, scan=scan,
force_rebuild=force_rebuild,
in_memory=in_memory,
use_private_tags=use_private_tags,
silent=silent)
self.logger.info('Database building completed')
self.database = self.builder.database
self.SUV = SUV
self._selection = {}
self.reset()
self.database.close()
@property
@property
def files(self):
""" Retrieve all files with path from the database """
file_list = self.get_column(self.builder.FILENAME_COL, close=True)
file_list = [file.replace('\\', '/') for file in file_list]
return file_list
@property
@property
@property
def columns(self):
""" Return all column names in database. """
return self.database.column_names(self.builder.MAIN_TABLE, close=True)
@property
def non_tag_columns(self):
""" Return column names that are not dicom tagnames """
return (self.builder.FILENAME_COL,
self.builder.FILE_SIZE_COL,
sdtk.SQLiteWrapper.ROWID,
self.builder.TAGNAMES_COL)
@property
def tag_names(self):
""" Return the tag names that are in the database """
if self._tagnames is None:
self._tagnames = self._get_tagnames() # use caching
return self._tagnames
@property
def headers(self):
""" Get pydicom headers from values in database. Pydicom headers
are generated from database content. """
if len(self.files) > self._MAX_FILES:
msg = 'Number of files exceeds MAX_FILES property'
raise IOError(msg)
if self._headers is not None:
return self._headers
if len(self) < 1:
self._headers = []
return self.headers
headers = []
uids = self.SOPInstanceUID
if not isinstance(uids, list):
uids = [uids]
headers = [self.header_for_uid(uid) for uid in uids]
self._headers = headers
return self._headers
@property
def series_count(self):
""" Return number of series in database """
return self._count_tag('SeriesInstanceUID')
@property
def study_count(self):
""" Return number of studies in database """
return self._count_tag('StudyInstanceUID')
@property
def patient_count(self):
""" Return number of patients in database """
return self._count_tag('PatientID')
@property
def instance_count(self):
""" Return number of instances in database, equal to number of files"""
return self._count_tag('SOPInstanceUID')
@property
def image(self):
""" Returns an sitk image for the files in the files property.
All files must belong to the same dicom series
(same SeriesInstanceUID). """
if self._image is not None:
return self._image
assert hasattr(self, 'SeriesInstanceUID')
assert isinstance(self.SeriesInstanceUID, str)
image = sdtk.dicom_reader.read_serie(self.sorted_files, SUV=False,
folder=self.builder.path)
# get first uid from file
uid = self.SOPInstanceUID
if isinstance(uid, list):
uid = uid[0]
# generate header with SUV metadata
header = self.header_for_uid(uid)
# calculate suv scale factor
try:
bqml_to_suv = sdtk.dicom_reader.suv_scale_factor(header)
except:
if self.SUV:
warnings.warn('\nNo SUV information found, disabling SUV\n',
RuntimeWarning)
bqml_to_suv = 1
if self.SUV and bqml_to_suv != 1:
image *= bqml_to_suv
image.bqml_to_suv = bqml_to_suv
self._image = image
return self._image
@property
def images(self):
""" Returns a dictionary with keys the SeriesInstanceUID and
values the sitkimage belonging tot the set of files belonging to
the same dicom series (same SeriesInstanceUID). Number of files
in the files property cannot exceed the MAX_FILES property.
This prevents reading of too large data sets """
if len(self.files) > self._MAX_FILES:
raise IOError('Number of files exceeds MAX_FILES property')
if self._images is not None:
return self._images
assert hasattr(self, sdtk.SERIESINSTANCEUID)
images = {}
selection = self.selection.copy()
for uid in self.SeriesInstanceUID:
images[uid] = self.select(SeriesInstanceUID=uid).image
self.reset().select(**selection)
self._images = images
return self._images
@property
def array(self):
""" Return dicom data as numpy array """
return sitk.GetArrayFromImage(self.image)
@property
def arrays(self):
""" Return dicom data as dictionary with key the SeriesInstanceUID
and value to corresponding numpy array. """
return dict([(key, sitk.GetArrayFromImage(image)) \
for key, image in self.images.items()])
@property
@sort_slices_by.setter
def sort_slices_by(self, value):
"""
Sort slices by given dicom filed
"""
self._sort_slices_by = value
@property
def sorted_files(self):
"""
Sort files by the dicom tag name stored in property sort_slices_by.
SimpleIKT Image Reader (unfortunately) expects sorted files to
create a volume e.g. CT slices.
"""
sort_by = self.sort_slices_by
if self.instance_count > 1 and sort_by is None:
warnings.warn('\nSlice Sorting Failed Before Reading!\n',
RuntimeWarning)
files = self.database.get_column_where(self.builder.MAIN_TABLE,
self.builder.FILENAME_COL,
sort_by=sort_by,
sort_decimal=True,
**self._selection)
files = [file.replace('\\', '/') for file in files]
return files
def select(self, close=True, **kwargs):
""" Make an selection in the database, based on values of tags
for example. For example to select only patient 123456 from the
database:
database.select(PatientID='123456')
To select patient 123456 and study 'MyCTScan' do:
database.select(PatientID='123456').select(StudyDescription='MyCTScan')
or
database.select(PatientID='123456', StudyDescription='MyCTScan')
The latter would use fewer SQL statements, results are the same.
"""
# encode key word arguments
for tag, value in kwargs.items():
if tag in self.non_tag_columns:
continue
value = self._encode_value(tag, value)
kwargs[tag] = value
self._selection.update(kwargs)
self._reset_cache()
return self
def header_for_uid(self, sopinstanceuid):
""" Return a pydicom header for the requested sopinstanceuid """
uid = sdtk.Encoder.encode_value_with_tagname('SOPInstanceUID',
sopinstanceuid)
h_dicts = self.database.get_row_dict(self.builder.MAIN_TABLE,
SOPInstanceUID=uid)
if not h_dicts:
msg = 'SOPInstanceUID %s not in database'
self.logger.info(msg, uid)
elif len(h_dicts) > 1:
msg = 'SOPInstanceUID {0} not unique'
raise ValueError(msg.format(uid))
h_dict = h_dicts[0]
h_dict = {tag: h_dict[tag] for tag in self.tag_names}
return self._decode(h_dict)
def reset(self, tags=None):
""" After a query a subset of the database is visible, use reset
to make all data visible again. """
if tags:
tags = [tags] if not isinstance(tags, list) else tags
for tag in tags:
self._selection.pop(tag, None)
else:
self._selection = {}
self._reset_cache()
return self
def get_column(self, column_name, distinct=True,
sort=True, close=True, parse=True):
""" Return the unique values for a column with column_name """
if sort:
sort_by = column_name
else:
sort_by = None
values = self.database.get_column(self.builder.MAIN_TABLE,
column_name, sort_by=sort_by,
distinct=distinct,
close=False, **self._selection)
self.logger.debug('parising column....')
if parse and column_name not in self.non_tag_columns:
values = [sdtk.Decoder.decode_entry(column_name, vi)[0] \
for vi in values]
if close:
self.database.close()
return values
def _get_tagnames(self):
""" Return the tag names that are in the database """
tagname_rows = self.get_column(self.builder.TAGNAMES_COL,
distinct=True, parse=False)
tagnames = set()
for row in tagname_rows:
for tagname in json.loads(row):
tagnames.add(tagname)
return tuple(tagnames)
@staticmethod
@staticmethod
class DatabaseBuilder(sdtk.Logger):
""" Build a dicom database from a folder or set of files """
FILENAME_COL = 'dicom_file_name' # colum in table that stores filenames
FILE_SIZE_COL = 'file_size_bytes' # store size of files
TAGNAMES_COL = 'dicom_tag_names' # column that stores tag names for file
MAIN_TABLE = 'DicomMetaDataTable' # stores values for each tag
_INFO_TABLE = 'Info' # store database version
_INFO_DESCRIPTION_COL = 'Description'
_INFO_PATH_COL = 'path'
_INFO_VALUE_COL = 'Value'
_FILENAME_TABLE = 'FileNameTable' # stores non dicom files
#_LOG_LEVEL = logging.DEBUG
_chunk_size = 1000 # number of files to read before committing
@property
def files(self):
""" Return all files dicom and non dicom that were added or tried to
add to the database. These files will not be re-added."""
return self.database.get_column(self._FILENAME_TABLE,
self.FILENAME_COL)
@property
@path.setter
@property
@version.setter
def open_database(self, database_file, path, force_rebuild=False):
""" Open the sqlite database in the file, rebuild if asked """
database = sdtk.SQLiteWrapper(database_file)
database._LOG_LEVEL = self._LOG_LEVEL
is_latest = self.get_version(database) == VERSION
self.logger.debug('Databae Version: %s', self.get_version(database))
self.logger.debug('Latest Version: %s', str(VERSION))
if not is_latest:
msg = 'Old Database Structure Found, rebuilding recommended!'
self.logger.info(msg)
if force_rebuild:
msg = 'Removing tables from: %s'
self.logger.info(msg, database.database_file)
database.delete_all_tables()
if not self.MAIN_TABLE in database.table_names:
self._create_main_table(database)
if not self._INFO_TABLE in database.table_names:
self._create_info_table(database, path=path)
if not self._FILENAME_TABLE in database.table_names:
self._create_filename_table(database)
return database
@staticmethod
def get_version(database):
""" Return the version of the database """
if DatabaseBuilder._INFO_TABLE not in database.table_names:
v = 0
else:
v = database.get_column(DatabaseBuilder._INFO_TABLE,
DatabaseBuilder._INFO_VALUE_COL)[0]
return float(v)
def file_list(self, path, index=True):
""" Search path recursively and return a list of all files """
# gather file list
if index:
self.logger.info('Scanning for new files')
files = sdtk.FileScanner.files_in_folder(path, recursive=True)
else:
files = []
return files
def insert_file(self, file, _existing_column_names=None, close=True):
""" Insert a dicom file to the database """
self.logger.debug('Inserting: %s', file)
self.database.insert_row_dict(self._FILENAME_TABLE,
{self.FILENAME_COL: file})
if _existing_column_names is None:
table = DatabaseBuilder.MAIN_TABLE
_existing_column_names = self.database.column_names(table)
# read file from disk
fullfile = os.path.join(self.path, file)
try:
header = pydicom.read_file(fullfile, stop_before_pixels=True)
except FileNotFoundError:
# skip file when file had been removed between scanning and
# the time point the file is opened.
self.logger.info('{0} not found.'.format(fullfile))
return _existing_column_names
except AttributeError:
# Attribute error is thrown when reading a dicom dirfile by pydiom
self.logger.info('{0} not proper dicom.'.format(fullfile))
return _existing_column_names
except:
msg = ('WARNING: Unhandled exception while reading {0}. '
'File is skipped')
print(msg.format(fullfile))
return _existing_column_names
# convert header to dictionary
try:
hdict = DatabaseBuilder._encode(
header, use_private_tags=self.use_private_tags)
except:
self.logger.info('Cannot add: %s', file)
return _existing_column_names
# store tag names
hdict[self.TAGNAMES_COL] = json.dumps(list(hdict.keys()))
hdict[self.FILENAME_COL] = file # add filenmae to dictionary
hdict[self.FILE_SIZE_COL] = os.path.getsize(fullfile)
# determine which columns need to be added to the database
newcols = [c for c in hdict.keys() if c not in _existing_column_names]
# add columns
self._add_column_for_tags(newcols, skip_check=True)
# encode dictionary values to json and stor in database
try:
self.database.insert_row_dict(self.MAIN_TABLE, hdict, close=close)
except:
msg = ('Could not insert file: {0}'.format(file))
self.database.close()
raise IOError(msg)
if close:
self.database.close()
self.logger.debug(newcols)
self.logger.debug('Inserted: %s', file)
return newcols
def remove_files(self, file_names):
""" Remove file list from the database """
for file_name in file_names:
self.remove_file(file_name, close=False)
self.database.close()
def remove_file(self, file_name, close=True):
""" Remove file from database """
self.database.delete_rows(DatabaseBuilder.MAIN_TABLE,
column=DatabaseBuilder.FILENAME_COL,
value=file_name, close=False)
self.database.delete_rows(DatabaseBuilder._FILENAME_TABLE,
column=DatabaseBuilder.FILENAME_COL,
value=file_name, close=False)
if close:
self.database.close()
@staticmethod
@staticmethod
@staticmethod
@staticmethod
def chunks(iterable, chunksize):
"""Yield successive n-sized chunks from iterable."""
for i in range(0, len(iterable), chunksize):
yield iterable[i:i + chunksize]
@staticmethod
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
30030,
8621,
220,
642,
1467,
25,
4051,
25,
1238,
2177,
198,
198,
31,
9800,
25,
14690,
35,
2507,
198,
37811,
198,
11748,
28686,
198,
11748,
33918,
198,
11748,
14601,
198,
11748,
18931,
198,
11748,
279,
5173,
291,
296,
628,
198,
11748,
17427,
2043,
42,
355,
1650,
74,
198,
11748,
17427,
35,
291,
296,
25391,
15813,
355,
264,
28664,
74,
628,
198,
43717,
796,
657,
13,
6052,
198,
198,
4871,
24047,
7,
21282,
30488,
13,
11187,
1362,
2599,
628,
220,
220,
220,
37227,
7921,
274,
257,
311,
13976,
578,
18,
3084,
422,
257,
1351,
286,
288,
291,
296,
3696,
13,
5501,
13639,
5726,
198,
220,
220,
220,
318,
8574,
287,
257,
384,
30052,
5721,
13,
24604,
3007,
389,
8574,
287,
257,
2060,
5721,
37227,
628,
220,
220,
220,
4808,
6978,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
796,
6045,
198,
220,
220,
220,
4808,
35,
1404,
6242,
11159,
62,
25664,
220,
796,
705,
1084,
312,
291,
296,
13,
9945,
6,
220,
220,
220,
1303,
4277,
2393,
1438,
329,
6831,
198,
220,
220,
220,
4808,
17566,
220,
220,
220,
220,
220,
220,
220,
220,
796,
6045,
1303,
12940,
8633,
351,
4263,
198,
220,
220,
220,
4808,
9060,
220,
220,
220,
220,
220,
220,
220,
220,
220,
796,
6045,
1303,
12940,
2060,
2939,
198,
220,
220,
220,
4808,
50145,
220,
220,
220,
220,
220,
220,
220,
796,
6045,
1303,
12940,
1351,
286,
24697,
198,
220,
220,
220,
4808,
83,
4660,
1047,
220,
220,
220,
220,
220,
220,
796,
6045,
1303,
12940,
329,
256,
4660,
1047,
287,
1459,
6356,
198,
220,
220,
220,
4808,
22921,
62,
46700,
1546,
220,
220,
220,
220,
220,
220,
796,
23336,
1303,
3509,
1271,
286,
3696,
284,
307,
1100,
416,
3119,
4263,
198,
220,
220,
220,
4808,
30619,
62,
82,
677,
274,
62,
1525,
220,
796,
6045,
1303,
360,
291,
296,
2214,
1438,
284,
3297,
24314,
416,
2214,
1988,
198,
220,
220,
220,
1303,
62,
25294,
62,
2538,
18697,
796,
18931,
13,
30531,
198,
220,
220,
220,
220,
198,
220,
220,
220,
825,
11593,
15003,
834,
7,
944,
11,
3108,
11,
2700,
62,
260,
11249,
28,
25101,
11,
9367,
28,
17821,
11,
10574,
28,
25101,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26763,
28,
17821,
11,
287,
62,
31673,
28,
25101,
11,
779,
62,
19734,
62,
31499,
28,
25101,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
220,
198,
220,
220,
220,
220,
220,
220,
220,
13610,
257,
288,
291,
296,
6831,
422,
3108,
628,
220,
220,
220,
220,
220,
220,
220,
2700,
62,
260,
11249,
25,
1024,
40676,
262,
6831,
2393,
290,
18616,
257,
649,
6831,
198,
220,
220,
220,
220,
220,
220,
220,
9367,
25,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1446,
504,
329,
477,
288,
291,
296,
3696,
287,
262,
3108,
290,
5992,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
6831,
13,
25639,
3696,
481,
307,
4615,
355,
880,
198,
220,
220,
220,
220,
220,
220,
220,
10574,
25,
220,
220,
220,
220,
220,
220,
220,
5200,
601,
4371,
5657,
290,
2604,
6218,
2845,
8563,
198,
220,
220,
220,
220,
220,
220,
220,
287,
62,
31673,
25,
220,
220,
220,
220,
2094,
470,
3613,
6831,
284,
11898,
13,
7921,
274,
257,
8584,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6831,
287,
4088,
13,
198,
220,
220,
220,
220,
220,
220,
220,
779,
62,
19734,
62,
31499,
25,
5345,
284,
6407,
284,
2291,
2839,
15940,
287,
262,
6831,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
685,
20468,
9134,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
628,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
10574,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
25294,
62,
2538,
18697,
796,
18931,
13,
24908,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2208,
22446,
834,
15003,
834,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38272,
796,
24047,
32875,
7,
6978,
28,
6978,
11,
9367,
28,
35836,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2700,
62,
260,
11249,
28,
3174,
62,
260,
11249,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
62,
31673,
28,
259,
62,
31673,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
779,
62,
19734,
62,
31499,
28,
1904,
62,
19734,
62,
31499,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10574,
28,
18217,
298,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
10786,
38105,
2615,
5668,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
796,
2116,
13,
38272,
13,
48806,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
12564,
53,
796,
26763,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
49283,
796,
23884,
628,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
42503,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
19836,
3419,
628,
220,
220,
220,
2488,
26745,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
3696,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
4990,
30227,
477,
3696,
351,
220,
3108,
422,
262,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
2393,
62,
4868,
796,
2116,
13,
1136,
62,
28665,
7,
944,
13,
38272,
13,
46700,
1677,
10067,
62,
25154,
11,
1969,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2393,
62,
4868,
796,
685,
7753,
13,
33491,
10786,
6852,
3256,
31051,
11537,
329,
2393,
287,
2393,
62,
4868,
60,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2393,
62,
4868,
628,
220,
220,
220,
2488,
26745,
628,
220,
220,
220,
2488,
26745,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
15180,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
477,
5721,
3891,
287,
6831,
13,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
48806,
13,
28665,
62,
14933,
7,
944,
13,
38272,
13,
5673,
1268,
62,
38148,
11,
1969,
28,
17821,
8,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
1729,
62,
12985,
62,
28665,
82,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
5721,
3891,
326,
389,
407,
288,
291,
296,
256,
4660,
1047,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
357,
944,
13,
38272,
13,
46700,
1677,
10067,
62,
25154,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38272,
13,
25664,
62,
33489,
62,
25154,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
264,
28664,
74,
13,
17861,
578,
36918,
2848,
13,
49,
3913,
2389,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38272,
13,
42197,
45,
29559,
62,
25154,
8,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
7621,
62,
14933,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
262,
7621,
3891,
326,
389,
287,
262,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13557,
83,
4660,
1047,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
83,
4660,
1047,
796,
2116,
13557,
1136,
62,
83,
4660,
1047,
3419,
1303,
779,
40918,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
83,
4660,
1047,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
24697,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
3497,
279,
5173,
291,
296,
24697,
422,
3815,
287,
6831,
13,
350,
5173,
291,
296,
24697,
198,
220,
220,
220,
220,
220,
220,
220,
389,
7560,
422,
6831,
2695,
13,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
944,
13,
16624,
8,
1875,
2116,
13557,
22921,
62,
46700,
1546,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
705,
15057,
286,
3696,
21695,
25882,
62,
46700,
1546,
3119,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
24418,
12331,
7,
19662,
8,
628,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13557,
50145,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
50145,
628,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
944,
8,
1279,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
50145,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
50145,
628,
220,
220,
220,
220,
220,
220,
220,
24697,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
334,
2340,
796,
2116,
13,
50,
3185,
33384,
27586,
628,
220,
220,
220,
220,
220,
220,
220,
611,
407,
318,
39098,
7,
84,
2340,
11,
1351,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
2340,
796,
685,
84,
2340,
60,
628,
220,
220,
220,
220,
220,
220,
220,
24697,
796,
685,
944,
13,
25677,
62,
1640,
62,
27112,
7,
27112,
8,
329,
334,
312,
287,
334,
2340,
60,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
50145,
796,
24697,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
50145,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
2168,
62,
9127,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
1271,
286,
2168,
287,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
9127,
62,
12985,
10786,
27996,
33384,
27586,
11537,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
2050,
62,
9127,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
1271,
286,
3640,
287,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
9127,
62,
12985,
10786,
39841,
33384,
27586,
11537,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
5827,
62,
9127,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
1271,
286,
3871,
287,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
9127,
62,
12985,
10786,
12130,
1153,
2389,
11537,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
4554,
62,
9127,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
1271,
286,
10245,
287,
6831,
11,
4961,
284,
1271,
286,
3696,
37811,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
9127,
62,
12985,
10786,
50,
3185,
33384,
27586,
11537,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
2939,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
16409,
281,
1650,
74,
2939,
329,
262,
3696,
287,
262,
3696,
3119,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1439,
3696,
1276,
5594,
284,
262,
976,
288,
291,
296,
2168,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
31642,
7171,
33384,
27586,
737,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13557,
9060,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
9060,
628,
220,
220,
220,
220,
220,
220,
220,
6818,
468,
35226,
7,
944,
11,
705,
27996,
33384,
27586,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
6818,
318,
39098,
7,
944,
13,
27996,
33384,
27586,
11,
965,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2939,
796,
264,
28664,
74,
13,
67,
291,
296,
62,
46862,
13,
961,
62,
2655,
494,
7,
944,
13,
82,
9741,
62,
16624,
11,
26763,
28,
25101,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
9483,
28,
944,
13,
38272,
13,
6978,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
651,
717,
334,
312,
422,
2393,
198,
220,
220,
220,
220,
220,
220,
220,
334,
312,
796,
2116,
13,
50,
3185,
33384,
27586,
198,
220,
220,
220,
220,
220,
220,
220,
611,
318,
39098,
7,
27112,
11,
1351,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
334,
312,
796,
334,
312,
58,
15,
60,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
7716,
13639,
351,
26763,
20150,
198,
220,
220,
220,
220,
220,
220,
220,
13639,
796,
2116,
13,
25677,
62,
1640,
62,
27112,
7,
27112,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
15284,
424,
85,
5046,
5766,
198,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
275,
80,
4029,
62,
1462,
62,
2385,
85,
796,
264,
28664,
74,
13,
67,
291,
296,
62,
46862,
13,
2385,
85,
62,
9888,
62,
31412,
7,
25677,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13,
12564,
53,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
10786,
59,
77,
2949,
26763,
1321,
1043,
11,
34909,
26763,
59,
77,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
43160,
20361,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
275,
80,
4029,
62,
1462,
62,
2385,
85,
796,
352,
628,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13,
12564,
53,
290,
275,
80,
4029,
62,
1462,
62,
2385,
85,
14512,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2939,
1635,
28,
275,
80,
4029,
62,
1462,
62,
2385,
85,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2939,
13,
65,
80,
4029,
62,
1462,
62,
2385,
85,
796,
275,
80,
4029,
62,
1462,
62,
2385,
85,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
9060,
796,
2939,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
9060,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
4263,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
16409,
257,
22155,
351,
8251,
262,
7171,
33384,
27586,
290,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3815,
262,
1650,
74,
9060,
16686,
2006,
262,
900,
286,
3696,
16686,
284,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
976,
288,
291,
296,
2168,
357,
31642,
7171,
33384,
27586,
737,
7913,
286,
3696,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
287,
262,
3696,
3119,
2314,
7074,
262,
25882,
62,
46700,
1546,
3119,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
770,
15174,
3555,
286,
1165,
1588,
1366,
5621,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
944,
13,
16624,
8,
1875,
2116,
13557,
22921,
62,
46700,
1546,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
24418,
12331,
10786,
15057,
286,
3696,
21695,
25882,
62,
46700,
1546,
3119,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13557,
17566,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
17566,
628,
220,
220,
220,
220,
220,
220,
220,
6818,
468,
35226,
7,
944,
11,
264,
28664,
74,
13,
35009,
11015,
38604,
19240,
27586,
8,
628,
220,
220,
220,
220,
220,
220,
220,
4263,
796,
23884,
198,
220,
220,
220,
220,
220,
220,
220,
6356,
796,
2116,
13,
49283,
13,
30073,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
329,
334,
312,
287,
2116,
13,
27996,
33384,
27586,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4263,
58,
27112,
60,
796,
2116,
13,
19738,
7,
27996,
33384,
27586,
28,
27112,
737,
9060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
42503,
22446,
19738,
7,
1174,
49283,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
17566,
796,
4263,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
17566,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
7177,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
288,
291,
296,
1366,
355,
299,
32152,
7177,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
1650,
74,
13,
3855,
19182,
4863,
5159,
7,
944,
13,
9060,
8,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
26515,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
288,
291,
296,
1366,
355,
22155,
351,
1994,
262,
7171,
33384,
27586,
198,
220,
220,
220,
220,
220,
220,
220,
290,
1988,
284,
11188,
299,
32152,
7177,
13,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
8633,
26933,
7,
2539,
11,
1650,
74,
13,
3855,
19182,
4863,
5159,
7,
9060,
4008,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1994,
11,
2939,
287,
2116,
13,
17566,
13,
23814,
3419,
12962,
628,
220,
220,
220,
2488,
26745,
628,
220,
220,
220,
2488,
30619,
62,
82,
677,
274,
62,
1525,
13,
2617,
353,
198,
220,
220,
220,
825,
3297,
62,
82,
677,
274,
62,
1525,
7,
944,
11,
1988,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
33947,
24314,
416,
1813,
288,
291,
296,
5717,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
30619,
62,
82,
677,
274,
62,
1525,
796,
1988,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
23243,
62,
16624,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
33947,
3696,
416,
262,
288,
291,
296,
7621,
1438,
8574,
287,
3119,
3297,
62,
82,
677,
274,
62,
1525,
13,
198,
220,
220,
220,
220,
220,
220,
220,
17427,
18694,
51,
7412,
25342,
357,
403,
6668,
8,
13423,
23243,
3696,
284,
198,
220,
220,
220,
220,
220,
220,
220,
2251,
257,
6115,
304,
13,
70,
13,
16356,
24314,
13,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
3297,
62,
1525,
796,
2116,
13,
30619,
62,
82,
677,
274,
62,
1525,
198,
220,
220,
220,
220,
220,
220,
220,
611,
2116,
13,
39098,
62,
9127,
1875,
352,
290,
3297,
62,
1525,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
10786,
59,
77,
11122,
501,
311,
24707,
22738,
7413,
11725,
0,
59,
77,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
43160,
20361,
8,
628,
220,
220,
220,
220,
220,
220,
220,
3696,
796,
2116,
13,
48806,
13,
1136,
62,
28665,
62,
3003,
7,
944,
13,
38272,
13,
5673,
1268,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
38272,
13,
46700,
1677,
10067,
62,
25154,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3297,
62,
1525,
28,
30619,
62,
1525,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3297,
62,
12501,
4402,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12429,
944,
13557,
49283,
8,
628,
220,
220,
220,
220,
220,
220,
220,
3696,
796,
685,
7753,
13,
33491,
10786,
6852,
3256,
31051,
11537,
329,
2393,
287,
3696,
60,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
3696,
628,
628,
220,
220,
220,
825,
2922,
7,
944,
11,
1969,
28,
17821,
11,
12429,
46265,
22046,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
6889,
281,
6356,
287,
262,
6831,
11,
1912,
319,
3815,
286,
15940,
198,
220,
220,
220,
220,
220,
220,
220,
329,
1672,
13,
1114,
1672,
284,
2922,
691,
5827,
17031,
29228,
422,
262,
198,
220,
220,
220,
220,
220,
220,
220,
6831,
25,
628,
220,
220,
220,
220,
220,
220,
220,
6831,
13,
19738,
7,
12130,
1153,
2389,
11639,
10163,
29228,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
1675,
2922,
5827,
17031,
29228,
290,
2050,
705,
3666,
4177,
33351,
6,
466,
25,
628,
220,
220,
220,
220,
220,
220,
220,
6831,
13,
19738,
7,
12130,
1153,
2389,
11639,
10163,
29228,
27691,
19738,
7,
39841,
11828,
11639,
3666,
4177,
33351,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
393,
628,
220,
220,
220,
220,
220,
220,
220,
6831,
13,
19738,
7,
12130,
1153,
2389,
11639,
10163,
29228,
3256,
12481,
11828,
11639,
3666,
4177,
33351,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
383,
6846,
561,
779,
7380,
16363,
6299,
11,
2482,
389,
262,
976,
13,
628,
220,
220,
220,
220,
220,
220,
220,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
37773,
1994,
1573,
7159,
198,
220,
220,
220,
220,
220,
220,
220,
329,
7621,
11,
1988,
287,
479,
86,
22046,
13,
23814,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
7621,
287,
2116,
13,
13159,
62,
12985,
62,
28665,
82,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2555,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1988,
796,
2116,
13557,
268,
8189,
62,
8367,
7,
12985,
11,
1988,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
479,
86,
22046,
58,
12985,
60,
796,
1988,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
49283,
13,
19119,
7,
46265,
22046,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
42503,
62,
23870,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
628,
220,
220,
220,
825,
13639,
62,
1640,
62,
27112,
7,
944,
11,
264,
404,
39098,
27112,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
257,
279,
5173,
291,
296,
13639,
329,
262,
9167,
264,
404,
39098,
27112,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
334,
312,
796,
264,
28664,
74,
13,
27195,
12342,
13,
268,
8189,
62,
8367,
62,
4480,
62,
12985,
3672,
10786,
50,
3185,
33384,
27586,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
264,
404,
39098,
27112,
8,
628,
220,
220,
220,
220,
220,
220,
220,
289,
62,
11600,
82,
796,
2116,
13,
48806,
13,
1136,
62,
808,
62,
11600,
7,
944,
13,
38272,
13,
5673,
1268,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
311,
3185,
33384,
27586,
28,
27112,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
289,
62,
11600,
82,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
705,
50,
3185,
33384,
27586,
4064,
82,
407,
287,
6831,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
7,
19662,
11,
334,
312,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
18896,
7,
71,
62,
11600,
82,
8,
1875,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
705,
50,
3185,
33384,
27586,
1391,
15,
92,
407,
3748,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
7,
19662,
13,
18982,
7,
27112,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
289,
62,
11600,
796,
289,
62,
11600,
82,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
289,
62,
11600,
796,
1391,
12985,
25,
289,
62,
11600,
58,
12985,
60,
329,
7621,
287,
2116,
13,
12985,
62,
14933,
92,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13557,
12501,
1098,
7,
71,
62,
11600,
8,
628,
220,
220,
220,
825,
13259,
7,
944,
11,
15940,
28,
14202,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
2293,
257,
12405,
257,
24637,
286,
262,
6831,
318,
7424,
11,
779,
13259,
198,
220,
220,
220,
220,
220,
220,
220,
284,
787,
477,
1366,
7424,
757,
13,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
611,
15940,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
15940,
796,
685,
31499,
60,
611,
407,
318,
39098,
7,
31499,
11,
1351,
8,
2073,
15940,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
7621,
287,
15940,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
49283,
13,
12924,
7,
12985,
11,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
49283,
796,
23884,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
42503,
62,
23870,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
628,
220,
220,
220,
825,
651,
62,
28665,
7,
944,
11,
5721,
62,
3672,
11,
7310,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3297,
28,
17821,
11,
1969,
28,
17821,
11,
21136,
28,
17821,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
262,
3748,
3815,
329,
257,
5721,
351,
5721,
62,
3672,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
3297,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3297,
62,
1525,
796,
5721,
62,
3672,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3297,
62,
1525,
796,
6045,
628,
220,
220,
220,
220,
220,
220,
220,
3815,
796,
2116,
13,
48806,
13,
1136,
62,
28665,
7,
944,
13,
38272,
13,
5673,
1268,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5721,
62,
3672,
11,
3297,
62,
1525,
28,
30619,
62,
1525,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7310,
28,
17080,
4612,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1969,
28,
25101,
11,
12429,
944,
13557,
49283,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
24442,
10786,
1845,
1710,
5721,
1106,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
611,
21136,
290,
5721,
62,
3672,
407,
287,
2116,
13,
13159,
62,
12985,
62,
28665,
82,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3815,
796,
685,
21282,
30488,
13,
10707,
12342,
13,
12501,
1098,
62,
13000,
7,
28665,
62,
3672,
11,
25357,
38381,
15,
60,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
25357,
287,
3815,
60,
628,
220,
220,
220,
220,
220,
220,
220,
611,
1969,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
19836,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
3815,
628,
220,
220,
220,
825,
4808,
1136,
62,
83,
4660,
1047,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
262,
7621,
3891,
326,
389,
287,
262,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
7621,
3672,
62,
8516,
796,
2116,
13,
1136,
62,
28665,
7,
944,
13,
38272,
13,
42197,
45,
29559,
62,
25154,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7310,
28,
17821,
11,
21136,
28,
25101,
8,
198,
220,
220,
220,
220,
220,
220,
220,
256,
4660,
1047,
796,
900,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
329,
5752,
287,
7621,
3672,
62,
8516,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
7621,
3672,
287,
33918,
13,
46030,
7,
808,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
256,
4660,
1047,
13,
2860,
7,
12985,
3672,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
46545,
7,
83,
4660,
1047,
8,
628,
198,
220,
220,
220,
2488,
12708,
24396,
628,
220,
220,
220,
2488,
12708,
24396,
628,
198,
4871,
24047,
32875,
7,
21282,
30488,
13,
11187,
1362,
2599,
198,
220,
220,
220,
37227,
10934,
257,
288,
291,
296,
6831,
422,
257,
9483,
393,
900,
286,
3696,
37227,
198,
220,
220,
220,
34020,
1677,
10067,
62,
25154,
220,
220,
220,
796,
705,
67,
291,
296,
62,
7753,
62,
3672,
6,
1303,
951,
388,
287,
3084,
326,
7000,
1226,
268,
1047,
198,
220,
220,
220,
45811,
62,
33489,
62,
25154,
220,
220,
796,
705,
7753,
62,
7857,
62,
33661,
6,
1303,
3650,
2546,
286,
3696,
198,
220,
220,
220,
37801,
45,
29559,
62,
25154,
220,
220,
220,
796,
705,
67,
291,
296,
62,
12985,
62,
14933,
6,
1303,
5721,
326,
7000,
7621,
3891,
329,
2393,
628,
220,
220,
220,
8779,
1268,
62,
38148,
220,
220,
220,
220,
220,
796,
705,
35,
291,
296,
48526,
6601,
10962,
6,
220,
220,
1303,
7000,
3815,
329,
1123,
7621,
198,
220,
220,
220,
4808,
10778,
62,
38148,
220,
220,
220,
220,
220,
796,
705,
12360,
6,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3650,
6831,
2196,
198,
220,
220,
220,
4808,
10778,
62,
30910,
40165,
62,
25154,
796,
705,
11828,
6,
198,
220,
220,
220,
4808,
10778,
62,
34219,
62,
25154,
796,
705,
6978,
6,
198,
220,
220,
220,
4808,
10778,
62,
39488,
62,
25154,
796,
705,
11395,
6,
198,
220,
220,
220,
4808,
46700,
1677,
10067,
62,
38148,
220,
796,
705,
8979,
5376,
10962,
6,
1303,
7000,
1729,
288,
291,
296,
3696,
198,
220,
220,
220,
1303,
62,
25294,
62,
2538,
18697,
796,
18931,
13,
30531,
628,
220,
220,
220,
4808,
354,
2954,
62,
7857,
220,
220,
220,
220,
796,
8576,
220,
1303,
1271,
286,
3696,
284,
1100,
878,
17222,
628,
220,
220,
220,
2488,
26745,
198,
220,
220,
220,
825,
3696,
7,
944,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
477,
3696,
288,
291,
296,
290,
1729,
288,
291,
296,
326,
547,
2087,
393,
3088,
284,
198,
220,
220,
220,
220,
220,
220,
220,
751,
284,
262,
6831,
13,
2312,
3696,
481,
407,
307,
302,
12,
29373,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
2116,
13,
48806,
13,
1136,
62,
28665,
7,
944,
13557,
46700,
1677,
10067,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
46700,
1677,
10067,
62,
25154,
8,
198,
220,
220,
220,
2488,
26745,
628,
220,
220,
220,
2488,
6978,
13,
2617,
353,
198,
220,
220,
220,
2488,
26745,
628,
198,
220,
220,
220,
2488,
9641,
13,
2617,
353,
628,
220,
220,
220,
825,
1280,
62,
48806,
7,
944,
11,
6831,
62,
7753,
11,
3108,
11,
2700,
62,
260,
11249,
28,
25101,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
4946,
262,
44161,
578,
6831,
287,
262,
2393,
11,
17884,
611,
1965,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
6831,
796,
264,
28664,
74,
13,
17861,
578,
36918,
2848,
7,
48806,
62,
7753,
8,
198,
220,
220,
220,
220,
220,
220,
220,
6831,
13557,
25294,
62,
2538,
18697,
796,
2116,
13557,
25294,
62,
2538,
18697,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
628,
220,
220,
220,
220,
220,
220,
220,
318,
62,
42861,
796,
2116,
13,
1136,
62,
9641,
7,
48806,
8,
6624,
220,
44156,
2849,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
24442,
10786,
27354,
397,
3609,
10628,
25,
4064,
82,
3256,
2116,
13,
1136,
62,
9641,
7,
48806,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
24442,
10786,
39478,
10628,
25,
4064,
82,
3256,
965,
7,
43717,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
318,
62,
42861,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
705,
19620,
24047,
32522,
4062,
11,
25448,
7151,
13679,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
7,
19662,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
611,
2700,
62,
260,
11249,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
705,
8413,
5165,
8893,
422,
25,
4064,
82,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
7,
19662,
11,
6831,
13,
48806,
62,
7753,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6831,
13,
33678,
62,
439,
62,
83,
2977,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
611,
407,
2116,
13,
5673,
1268,
62,
38148,
287,
6831,
13,
11487,
62,
14933,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
17953,
62,
12417,
62,
11487,
7,
48806,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
2116,
13557,
10778,
62,
38148,
287,
6831,
13,
11487,
62,
14933,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
17953,
62,
10951,
62,
11487,
7,
48806,
11,
3108,
28,
6978,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
407,
2116,
13557,
46700,
1677,
10067,
62,
38148,
287,
6831,
13,
11487,
62,
14933,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
17953,
62,
34345,
62,
11487,
7,
48806,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
6831,
628,
220,
220,
220,
2488,
12708,
24396,
198,
220,
220,
220,
825,
651,
62,
9641,
7,
48806,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
8229,
262,
2196,
286,
262,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
611,
24047,
32875,
13557,
10778,
62,
38148,
407,
287,
6831,
13,
11487,
62,
14933,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
796,
6831,
13,
1136,
62,
28665,
7,
38105,
32875,
13557,
10778,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
24047,
32875,
13557,
10778,
62,
39488,
62,
25154,
38381,
15,
60,
628,
220,
220,
220,
220,
220,
220,
220,
1441,
12178,
7,
85,
8,
628,
220,
220,
220,
825,
2393,
62,
4868,
7,
944,
11,
3108,
11,
6376,
28,
17821,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
11140,
3108,
664,
1834,
2280,
290,
1441,
257,
1351,
286,
477,
3696,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
6431,
2393,
1351,
198,
220,
220,
220,
220,
220,
220,
220,
611,
6376,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
10786,
33351,
768,
329,
649,
3696,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
796,
264,
28664,
74,
13,
8979,
33351,
1008,
13,
16624,
62,
259,
62,
43551,
7,
6978,
11,
45115,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3696,
796,
17635,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
3696,
628,
220,
220,
220,
825,
7550,
62,
7753,
7,
944,
11,
2393,
11,
4808,
25687,
62,
28665,
62,
14933,
28,
14202,
11,
1969,
28,
17821,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
35835,
257,
288,
291,
296,
2393,
284,
262,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
24442,
10786,
44402,
278,
25,
4064,
82,
3256,
2393,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
28463,
62,
808,
62,
11600,
7,
944,
13557,
46700,
1677,
10067,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
944,
13,
46700,
1677,
10067,
62,
25154,
25,
2393,
30072,
628,
220,
220,
220,
220,
220,
220,
220,
611,
4808,
25687,
62,
28665,
62,
14933,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3084,
796,
24047,
32875,
13,
5673,
1268,
62,
38148,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
25687,
62,
28665,
62,
14933,
796,
2116,
13,
48806,
13,
28665,
62,
14933,
7,
11487,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
1100,
2393,
422,
11898,
198,
220,
220,
220,
220,
220,
220,
220,
1336,
7753,
796,
28686,
13,
6978,
13,
22179,
7,
944,
13,
6978,
11,
2393,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
796,
279,
5173,
291,
296,
13,
961,
62,
7753,
7,
12853,
7753,
11,
2245,
62,
19052,
62,
79,
14810,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
9220,
3673,
21077,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
14267,
2393,
618,
2393,
550,
587,
4615,
1022,
21976,
290,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
262,
640,
966,
262,
2393,
318,
4721,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
10786,
90,
15,
92,
407,
1043,
2637,
13,
18982,
7,
12853,
7753,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
4808,
25687,
62,
28665,
62,
14933,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
3460,
4163,
12331,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3460,
4163,
4049,
318,
8754,
618,
3555,
257,
288,
291,
296,
26672,
7753,
416,
279,
5173,
29005,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
10786,
90,
15,
92,
407,
1774,
288,
291,
296,
2637,
13,
18982,
7,
12853,
7753,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
4808,
25687,
62,
28665,
62,
14933,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
19203,
31502,
25,
791,
38788,
6631,
981,
3555,
1391,
15,
27422,
705,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
8979,
318,
26684,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
19662,
13,
18982,
7,
12853,
7753,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
4808,
25687,
62,
28665,
62,
14933,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
10385,
13639,
284,
22155,
198,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
289,
11600,
796,
24047,
32875,
13557,
268,
8189,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
13639,
11,
779,
62,
19734,
62,
31499,
28,
944,
13,
1904,
62,
19734,
62,
31499,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
10951,
10786,
34,
34574,
751,
25,
4064,
82,
3256,
2393,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1441,
4808,
25687,
62,
28665,
62,
14933,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
3650,
7621,
3891,
198,
220,
220,
220,
220,
220,
220,
220,
289,
11600,
58,
944,
13,
42197,
45,
29559,
62,
25154,
60,
796,
33918,
13,
67,
8142,
7,
4868,
7,
71,
11600,
13,
13083,
3419,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
289,
11600,
58,
944,
13,
46700,
1677,
10067,
62,
25154,
60,
796,
2393,
1303,
751,
1226,
268,
2611,
68,
284,
22155,
198,
220,
220,
220,
220,
220,
220,
220,
289,
11600,
58,
944,
13,
25664,
62,
33489,
62,
25154,
60,
796,
28686,
13,
6978,
13,
11407,
1096,
7,
12853,
7753,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
5004,
543,
15180,
761,
284,
307,
2087,
284,
262,
6831,
198,
220,
220,
220,
220,
220,
220,
220,
649,
4033,
82,
796,
685,
66,
329,
269,
287,
289,
11600,
13,
13083,
3419,
611,
269,
407,
287,
4808,
25687,
62,
28665,
62,
14933,
60,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
751,
15180,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13557,
2860,
62,
28665,
62,
1640,
62,
31499,
7,
3605,
4033,
82,
11,
14267,
62,
9122,
28,
17821,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
37773,
22155,
3815,
284,
33918,
290,
336,
273,
287,
6831,
198,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
28463,
62,
808,
62,
11600,
7,
944,
13,
5673,
1268,
62,
38148,
11,
289,
11600,
11,
1969,
28,
19836,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2845,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
31456,
796,
19203,
23722,
407,
7550,
2393,
25,
1391,
15,
92,
4458,
18982,
7,
7753,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
19836,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5298,
24418,
12331,
7,
19662,
8,
628,
220,
220,
220,
220,
220,
220,
220,
611,
1969,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
19836,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
24442,
7,
3605,
4033,
82,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
6404,
1362,
13,
24442,
10786,
44402,
276,
25,
4064,
82,
3256,
2393,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
649,
4033,
82,
628,
220,
220,
220,
825,
4781,
62,
16624,
7,
944,
11,
2393,
62,
14933,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
17220,
2393,
1351,
422,
262,
6831,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
329,
2393,
62,
3672,
287,
2393,
62,
14933,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
28956,
62,
7753,
7,
7753,
62,
3672,
11,
1969,
28,
25101,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
19836,
3419,
628,
220,
220,
220,
825,
4781,
62,
7753,
7,
944,
11,
2393,
62,
3672,
11,
1969,
28,
17821,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
17220,
2393,
422,
6831,
37227,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
33678,
62,
8516,
7,
38105,
32875,
13,
5673,
1268,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5721,
28,
38105,
32875,
13,
46700,
1677,
10067,
62,
25154,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1988,
28,
7753,
62,
3672,
11,
1969,
28,
25101,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
33678,
62,
8516,
7,
38105,
32875,
13557,
46700,
1677,
10067,
62,
38148,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5721,
28,
38105,
32875,
13,
46700,
1677,
10067,
62,
25154,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1988,
28,
7753,
62,
3672,
11,
1969,
28,
25101,
8,
628,
220,
220,
220,
220,
220,
220,
220,
611,
1969,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2116,
13,
48806,
13,
19836,
3419,
628,
198,
220,
220,
220,
2488,
12708,
24396,
628,
220,
220,
220,
2488,
12708,
24396,
628,
220,
220,
220,
2488,
12708,
24396,
628,
220,
220,
220,
2488,
12708,
24396,
198,
220,
220,
220,
825,
22716,
7,
2676,
540,
11,
22716,
1096,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
56,
1164,
25175,
299,
12,
13982,
22716,
422,
11629,
540,
526,
15931,
198,
220,
220,
220,
220,
220,
220,
220,
329,
1312,
287,
2837,
7,
15,
11,
18896,
7,
2676,
540,
828,
22716,
1096,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7800,
11629,
540,
58,
72,
25,
72,
1343,
22716,
1096,
60,
628,
220,
220,
220,
2488,
12708,
24396,
628,
198
] | 2.176808 | 8,365 |
# Generated by Django 3.1.1 on 2020-09-18 10:05
from django.db import migrations, models
| [
2,
2980,
515,
416,
37770,
513,
13,
16,
13,
16,
319,
12131,
12,
2931,
12,
1507,
838,
25,
2713,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
628
] | 2.84375 | 32 |
# -*- coding: utf-8 -*-
# Copyright (C) 2015-2018 by Brendt Wohlberg <[email protected]>
# All rights reserved. BSD 3-clause License.
# This file is part of the SPORCO package. Details of the copyright
# and user license can be found in the 'LICENSE.txt' file distributed
# with the package.
"""Plotting/visualisation functions"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from builtins import range
from builtins import object
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.pyplot import figure, subplot, subplots, gcf, gca, savefig
from mpl_toolkits.axes_grid1 import make_axes_locatable
from mpl_toolkits.mplot3d import Axes3D
try:
import mpldatacursor as mpldc
except ImportError:
have_mpldc = False
else:
have_mpldc = True
__author__ = """Brendt Wohlberg <[email protected]>"""
def attach_keypress(fig):
"""
Attach a key press event handler that configures keys for closing a
figure and changing the figure size. Keys 'e' and 'c' respectively
expand and contract the figure, and key 'q' closes it.
**Note:** Resizing may not function correctly with all matplotlib
backends (a
`bug <https://github.com/matplotlib/matplotlib/issues/10083>`__
has been reported).
Parameters
----------
fig : :class:`matplotlib.figure.Figure` object
Figure to which event handling is to be attached
"""
# Avoid multiple even handlers attached to the same figure
if not hasattr(fig, '_sporco_keypress_cid'):
cid = fig.canvas.mpl_connect('key_press_event', press)
fig._sporco_keypress_cid = cid
def plot(y, x=None, ptyp='plot', xlbl=None, ylbl=None, title=None,
lgnd=None, lglc=None, lwidth=1.5, lstyle='solid', msize=6.0,
mstyle='None', fgsz=None, fgnm=None, fig=None, ax=None):
"""
Plot points or lines in 2D. If a figure object is specified then the
plot is drawn in that figure, and fig.show() is not called. The figure
is closed on key entry 'q'.
Parameters
----------
y : array_like
1d or 2d array of data to plot. If a 2d array, each column is
plotted as a separate curve.
x : array_like, optional (default None)
Values for x-axis of the plot
ptyp : string, optional (default 'plot')
Plot type specification (options are 'plot', 'semilogx',
'semilogy', and 'loglog')
xlbl : string, optional (default None)
Label for x-axis
ylbl : string, optional (default None)
Label for y-axis
title : string, optional (default None)
Figure title
lgnd : list of strings, optional (default None)
List of legend string
lglc : string, optional (default None)
Legend location string
lwidth : float, optional (default 1.5)
Line width
lstyle : string, optional (default 'solid')
Line style (see :class:`matplotlib.lines.Line2D`)
msize : float, optional (default 6.0)
Marker size
mstyle : string, optional (default 'None')
Marker style (see :mod:`matplotlib.markers`)
fgsz : tuple (width,height), optional (default None)
Specify figure dimensions in inches
fgnm : integer, optional (default None)
Figure number of figure
fig : :class:`matplotlib.figure.Figure` object, optional (default None)
Draw in specified figure instead of creating one
ax : :class:`matplotlib.axes.Axes` object, optional (default None)
Plot in specified axes instead of current axes of figure
Returns
-------
fig : :class:`matplotlib.figure.Figure` object
Figure object for this figure
ax : :class:`matplotlib.axes.Axes` object
Axes object for this plot
"""
figp = fig
if fig is None:
fig = plt.figure(num=fgnm, figsize=fgsz)
fig.clf()
ax = fig.gca()
elif ax is None:
ax = fig.gca()
if ptyp not in ('plot', 'semilogx', 'semilogy', 'loglog'):
raise ValueError("Invalid plot type '%s'" % ptyp)
pltmth = getattr(ax, ptyp)
if x is None:
pltln = pltmth(y, linewidth=lwidth, linestyle=lstyle,
marker=mstyle, markersize=msize)
else:
pltln = pltmth(x, y, linewidth=lwidth, linestyle=lstyle,
marker=mstyle, markersize=msize)
if title is not None:
ax.set_title(title)
if xlbl is not None:
ax.set_xlabel(xlbl)
if ylbl is not None:
ax.set_ylabel(ylbl)
if lgnd is not None:
ax.legend(lgnd, loc=lglc)
attach_keypress(fig)
if have_mpldc:
mpldc.datacursor(pltln)
if figp is None:
fig.show()
return fig, ax
def surf(z, x=None, y=None, elev=None, azim=None, xlbl=None, ylbl=None,
zlbl=None, title=None, lblpad=8.0, cntr=None, cmap=None,
fgsz=None, fgnm=None, fig=None, ax=None):
"""
Plot a 2D surface in 3D. If a figure object is specified then the
surface is drawn in that figure, and fig.show() is not called. The
figure is closed on key entry 'q'.
Parameters
----------
z : array_like
2d array of data to plot
x : array_like, optional (default None)
Values for x-axis of the plot
y : array_like, optional (default None)
Values for y-axis of the plot
elev : float
Elevation angle (in degrees) in the z plane
azim : foat
Azimuth angle (in degrees) in the x,y plane
xlbl : string, optional (default None)
Label for x-axis
ylbl : string, optional (default None)
Label for y-axis
zlbl : string, optional (default None)
Label for z-axis
title : string, optional (default None)
Figure title
lblpad : float, optional (default 8.0)
Label padding
cntr : int or sequence of ints, optional (default None)
If not None, plot contours of the surface on the lower end of
the z-axis. An int specifies the number of contours to plot, and
a sequence specifies the specific contour levels to plot.
cmap : :class:`matplotlib.colors.Colormap` object, optional (default None)
Colour map for surface. If none specifed, defaults to cm.coolwarm
fgsz : tuple (width,height), optional (default None)
Specify figure dimensions in inches
fgnm : integer, optional (default None)
Figure number of figure
fig : :class:`matplotlib.figure.Figure` object, optional (default None)
Draw in specified figure instead of creating one
ax : :class:`matplotlib.axes.Axes` object, optional (default None)
Plot in specified axes instead of creating one
Returns
-------
fig : :class:`matplotlib.figure.Figure` object
Figure object for this figure
ax : :class:`matplotlib.axes.Axes` object
Axes object for this plot
"""
figp = fig
if fig is None:
fig = plt.figure(num=fgnm, figsize=fgsz)
fig.clf()
ax = plt.axes(projection='3d')
else:
if ax is None:
ax = plt.axes(projection='3d')
else:
# See https://stackoverflow.com/a/43563804
# https://stackoverflow.com/a/35221116
if ax.name != '3d':
ax.remove()
ax = fig.add_subplot(*ax.get_geometry(), projection='3d')
if elev is not None or azim is not None:
ax.view_init(elev=elev, azim=azim)
if cmap is None:
cmap = cm.coolwarm
if x is None:
x = range(z.shape[1])
if y is None:
y = range(z.shape[0])
xg, yg = np.meshgrid(x, y)
ax.plot_surface(xg, yg, z, rstride=1, cstride=1, cmap=cmap)
if cntr is not None:
offset = np.around(z.min() - 0.2 * (z.max() - z.min()), 3)
ax.contour(xg, yg, z, cntr, linewidths=2, cmap=cmap, linestyles="solid",
offset=offset)
ax.set_zlim(offset, ax.get_zlim()[1])
if title is not None:
ax.set_title(title)
if xlbl is not None:
ax.set_xlabel(xlbl, labelpad=lblpad)
if ylbl is not None:
ax.set_ylabel(ylbl, labelpad=lblpad)
if zlbl is not None:
ax.set_zlabel(zlbl, labelpad=lblpad)
attach_keypress(fig)
if figp is None:
fig.show()
return fig, ax
def contour(z, x=None, y=None, v=5, xlbl=None, ylbl=None, title=None,
cfntsz=10, lfntsz=None, intrp='bicubic', alpha=0.5, cmap=None,
vmin=None, vmax=None, fgsz=None, fgnm=None, fig=None, ax=None):
"""
Contour plot of a 2D surface. If a figure object is specified then the
plot is drawn in that figure, and fig.show() is not called. The figure
is closed on key entry 'q'.
Parameters
----------
z : array_like
2d array of data to plot
x : array_like, optional (default None)
Values for x-axis of the plot
y : array_like, optional (default None)
Values for y-axis of the plot
v : int or sequence of ints, optional (default 5)
An int specifies the number of contours to plot, and a sequence
specifies the specific contour levels to plot.
xlbl : string, optional (default None)
Label for x-axis
ylbl : string, optional (default None)
Label for y-axis
title : string, optional (default None)
Figure title
cfntsz : int or None, optional (default 10)
Contour label font size. No contour labels are displayed if
set to 0 or None.
lfntsz : int, optional (default None)
Axis label font size. The default font size is used if set to None.
intrp : string, optional (default 'bicubic')
Specify type of interpolation used to display image underlying
contours (see ``interpolation`` parameter of
:meth:`matplotlib.axes.Axes.imshow`)
alpha : float, optional (default 0.5)
Underlying image display alpha value
cmap : :class:`matplotlib.colors.Colormap`, optional (default None)
Colour map for surface. If none specifed, defaults to cm.coolwarm
vmin, vmax : float, optional (default None)
Set upper and lower bounds for the colour map (see the corresponding
parameters of :meth:`matplotlib.axes.Axes.imshow`)
fgsz : tuple (width,height), optional (default None)
Specify figure dimensions in inches
fgnm : integer, optional (default None)
Figure number of figure
fig : :class:`matplotlib.figure.Figure` object, optional (default None)
Draw in specified figure instead of creating one
ax : :class:`matplotlib.axes.Axes` object, optional (default None)
Plot in specified axes instead of current axes of figure
Returns
-------
fig : :class:`matplotlib.figure.Figure` object
Figure object for this figure
ax : :class:`matplotlib.axes.Axes` object
Axes object for this plot
"""
figp = fig
if fig is None:
fig = plt.figure(num=fgnm, figsize=fgsz)
fig.clf()
ax = fig.gca()
elif ax is None:
ax = fig.gca()
if cmap is None:
cmap = cm.coolwarm
if x is None:
x = np.arange(z.shape[1])
else:
x = np.array(x)
if y is None:
y = np.arange(z.shape[0])
else:
y = np.array(y)
xg, yg = np.meshgrid(x, y)
cntr = ax.contour(xg, yg, z, v, colors='black')
if cfntsz is not None and cfntsz > 0:
plt.clabel(cntr, inline=True, fontsize=cfntsz)
im = ax.imshow(z, origin='lower', interpolation=intrp, aspect='auto',
extent=[x.min(), x.max(), y.min(), y.max()], cmap=cmap,
vmin=vmin, vmax=vmax, alpha=alpha)
if title is not None:
ax.set_title(title)
if xlbl is not None:
ax.set_xlabel(xlbl, fontsize=lfntsz)
if ylbl is not None:
ax.set_ylabel(ylbl, fontsize=lfntsz)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.2)
plt.colorbar(im, ax=ax, cax=cax)
attach_keypress(fig)
if have_mpldc:
mpldc.datacursor()
if figp is None:
fig.show()
return fig, ax
def imview(img, title=None, copy=True, fltscl=False, intrp='nearest',
norm=None, cbar=False, cmap=None, fgsz=None, fgnm=None,
fig=None, ax=None):
"""
Display an image. Pixel values are displayed when the pointer is over
valid image data. If a figure object is specified then the image is
drawn in that figure, and fig.show() is not called. The figure is
closed on key entry 'q'.
Parameters
----------
img : array_like, shape (Nr, Nc) or (Nr, Nc, 3) or (Nr, Nc, 4)
Image to display
title : string, optional (default None)
Figure title
copy : boolean, optional (default True)
If True, create a copy of input `img` as a reference for displayed
pixel values, ensuring that displayed values do not change when the
array changes in the calling scope. Set this flag to False if the
overhead of an additional copy of the input image is not acceptable.
fltscl : boolean, optional (default False)
If True, rescale and shift floating point arrays to [0,1]
intrp : string, optional (default 'nearest')
Specify type of interpolation used to display image (see
``interpolation`` parameter of :meth:`matplotlib.axes.Axes.imshow`)
norm : :class:`matplotlib.colors.Normalize` object, optional (default None)
Specify the :class:`matplotlib.colors.Normalize` instance used to
scale pixel values for input to the colour map
cbar : boolean, optional (default False)
Flag indicating whether to display colorbar
cmap : :class:`matplotlib.colors.Colormap`, optional (default None)
Colour map for image. If none specifed, defaults to cm.Greys_r
for monochrome image
fgsz : tuple (width,height), optional (default None)
Specify figure dimensions in inches
fgnm : integer, optional (default None)
Figure number of figure
fig : :class:`matplotlib.figure.Figure` object, optional (default None)
Draw in specified figure instead of creating one
ax : :class:`matplotlib.axes.Axes` object, optional (default None)
Plot in specified axes instead of current axes of figure
Returns
-------
fig : :class:`matplotlib.figure.Figure` object
Figure object for this figure
ax : :class:`matplotlib.axes.Axes` object
Axes object for this plot
"""
if img.ndim > 2 and img.shape[2] != 3:
raise ValueError('Argument img must be an Nr x Nc array or an '
'Nr x Nc x 3 array')
figp = fig
if fig is None:
fig = plt.figure(num=fgnm, figsize=fgsz)
fig.clf()
ax = fig.gca()
elif ax is None:
ax = fig.gca()
ax.set_adjustable('box-forced')
imgd = img.copy()
if copy:
# Keep a separate copy of the input image so that the original
# pixel values can be display rather than the scaled pixel
# values that are actually plotted.
img = img.copy()
if cmap is None and img.ndim == 2:
cmap = cm.Greys_r
if np.issubdtype(img.dtype, np.floating):
if fltscl:
imgd -= imgd.min()
imgd /= imgd.max()
if img.ndim > 2:
imgd = np.clip(imgd, 0.0, 1.0)
elif img.dtype == np.uint16:
imgd = np.float16(imgd) / np.iinfo(np.uint16).max
elif img.dtype == np.int16:
imgd = np.float16(imgd) - imgd.min()
imgd /= imgd.max()
if norm is None:
im = ax.imshow(imgd, cmap=cmap, interpolation=intrp, vmin=imgd.min(),
vmax=imgd.max())
else:
im = ax.imshow(imgd, cmap=cmap, interpolation=intrp, norm=norm)
ax.set_yticklabels([])
ax.set_xticklabels([])
if title is not None:
ax.set_title(title)
if cbar or cbar is None:
orient = 'vertical' if img.shape[0] >= img.shape[1] else 'horizontal'
pos = 'right' if orient == 'vertical' else 'bottom'
divider = make_axes_locatable(ax)
cax = divider.append_axes(pos, size="5%", pad=0.2)
if cbar is None:
# See http://chris35wills.github.io/matplotlib_axis
if hasattr(cax, 'set_facecolor'):
cax.set_facecolor('none')
else:
cax.set_axis_bgcolor('none')
for axis in ['top', 'bottom', 'left', 'right']:
cax.spines[axis].set_linewidth(0)
cax.set_xticks([])
cax.set_yticks([])
else:
plt.colorbar(im, ax=ax, cax=cax, orientation=orient)
ax.format_coord = format_coord
attach_keypress(fig)
if have_mpldc:
mpldc.datacursor(display='single')
if figp is None:
fig.show()
return fig, ax
def close(fig=None):
"""
Close figure(s). If a figure object reference or figure number is
provided, close the specified figure, otherwise close all figures.
Parameters
----------
fig : :class:`matplotlib.figure.Figure` object or integer,\
optional (default None)
Figure object or number of figure to close
"""
if fig is None:
plt.close('all')
else:
plt.close(fig)
def set_ipython_plot_backend(backend='qt'):
"""
Set matplotlib backend within an ipython shell. Ths function has the
same effect as the line magic ``%matplotlib [backend]`` but is called
as a function and includes a check to determine whether the code is
running in an ipython shell, so that it can safely be used within a
normal python script since it has no effect when not running in an
ipython shell.
Parameters
----------
backend : string, optional (default 'qt')
Name of backend to be passed to the ``%matplotlib`` line magic
command
"""
from sporco.util import in_ipython
if in_ipython():
# See https://stackoverflow.com/questions/35595766
get_ipython().run_line_magic('matplotlib', backend)
def set_notebook_plot_backend(backend='inline'):
"""
Set matplotlib backend within a Jupyter Notebook shell. Ths function
has the same effect as the line magic ``%matplotlib [backend]`` but is
called as a function and includes a check to determine whether the code
is running in a notebook shell, so that it can safely be used within a
normal python script since it has no effect when not running in a
notebook shell.
Parameters
----------
backend : string, optional (default 'inline')
Name of backend to be passed to the ``%matplotlib`` line magic
command
"""
from sporco.util import in_notebook
if in_notebook():
# See https://stackoverflow.com/questions/35595766
get_ipython().run_line_magic('matplotlib', backend)
def config_notebook_plotting():
"""
Configure plotting functions for inline plotting within a Jupyter
Notebook shell. This function has no effect when not within a
notebook shell, and may therefore be used within a normal python
script.
"""
# Check whether running within a notebook shell and have
# not already monkey patched the plot function
from sporco.util import in_notebook
module = sys.modules[__name__]
if in_notebook() and module.plot.__name__ == 'plot':
# Set inline backend (i.e. %matplotlib inline) if in a notebook shell
set_notebook_plot_backend()
# Replace plot function with a wrapper function that discards
# its return value (within a notebook with inline plotting, plots
# are duplicated if the return value from the original function is
# not assigned to a variable)
plot_original = module.plot
module.plot = plot_wrap
# Replace surf function with a wrapper function that discards
# its return value (see comment for plot function)
surf_original = module.surf
module.surf = surf_wrap
# Replace contour function with a wrapper function that discards
# its return value (see comment for plot function)
contour_original = module.contour
module.contour = contour_wrap
# Replace imview function with a wrapper function that discards
# its return value (see comment for plot function)
imview_original = module.imview
module.imview = imview_wrap
# Disable figure show method (results in a warning if used within
# a notebook with inline plotting)
import matplotlib.figure
matplotlib.figure.Figure.show = show_disable
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
15069,
357,
34,
8,
1853,
12,
7908,
416,
19252,
83,
370,
48988,
3900,
1279,
4679,
358,
83,
31,
494,
1453,
13,
2398,
29,
198,
2,
1439,
2489,
10395,
13,
347,
10305,
513,
12,
565,
682,
13789,
13,
198,
2,
770,
2393,
318,
636,
286,
262,
6226,
1581,
8220,
5301,
13,
14890,
286,
262,
6634,
198,
2,
290,
2836,
5964,
460,
307,
1043,
287,
262,
705,
43,
2149,
24290,
13,
14116,
6,
2393,
9387,
198,
2,
351,
262,
5301,
13,
198,
198,
37811,
43328,
889,
14,
41464,
5612,
5499,
37811,
198,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
6738,
3170,
1040,
1330,
2837,
198,
6738,
3170,
1040,
1330,
2134,
198,
198,
11748,
25064,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
2603,
29487,
8019,
13,
11215,
355,
12067,
198,
6738,
2603,
29487,
8019,
13,
9078,
29487,
1330,
3785,
11,
850,
29487,
11,
850,
489,
1747,
11,
308,
12993,
11,
308,
6888,
11,
3613,
5647,
198,
6738,
285,
489,
62,
25981,
74,
896,
13,
897,
274,
62,
25928,
16,
1330,
787,
62,
897,
274,
62,
17946,
21156,
198,
6738,
285,
489,
62,
25981,
74,
896,
13,
76,
29487,
18,
67,
1330,
12176,
274,
18,
35,
198,
28311,
25,
198,
220,
220,
220,
1330,
29034,
335,
265,
330,
21471,
355,
29034,
335,
66,
198,
16341,
17267,
12331,
25,
198,
220,
220,
220,
423,
62,
3149,
335,
66,
796,
10352,
198,
17772,
25,
198,
220,
220,
220,
423,
62,
3149,
335,
66,
796,
6407,
628,
198,
834,
9800,
834,
796,
37227,
48015,
83,
370,
48988,
3900,
1279,
4679,
358,
83,
31,
494,
1453,
13,
2398,
29,
37811,
628,
198,
198,
4299,
10199,
62,
2539,
8439,
7,
5647,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
3460,
620,
257,
1994,
1803,
1785,
21360,
326,
4566,
942,
8251,
329,
9605,
257,
198,
220,
220,
220,
3785,
290,
5609,
262,
3785,
2546,
13,
26363,
705,
68,
6,
290,
705,
66,
6,
8148,
198,
220,
220,
220,
4292,
290,
2775,
262,
3785,
11,
290,
1994,
705,
80,
6,
20612,
340,
13,
628,
220,
220,
220,
12429,
6425,
25,
1174,
1874,
2890,
743,
407,
2163,
9380,
351,
477,
2603,
29487,
8019,
198,
220,
220,
220,
736,
2412,
357,
64,
198,
220,
220,
220,
4600,
25456,
1279,
5450,
1378,
12567,
13,
785,
14,
6759,
29487,
8019,
14,
6759,
29487,
8019,
14,
37165,
14,
3064,
5999,
29,
63,
834,
198,
220,
220,
220,
468,
587,
2098,
737,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
284,
543,
1785,
9041,
318,
284,
307,
7223,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
1303,
24390,
3294,
772,
32847,
7223,
284,
262,
976,
3785,
198,
220,
220,
220,
611,
407,
468,
35226,
7,
5647,
11,
705,
62,
82,
1819,
1073,
62,
2539,
8439,
62,
66,
312,
6,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
269,
312,
796,
2336,
13,
5171,
11017,
13,
76,
489,
62,
8443,
10786,
2539,
62,
8439,
62,
15596,
3256,
1803,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13557,
82,
1819,
1073,
62,
2539,
8439,
62,
66,
312,
796,
269,
312,
628,
198,
198,
4299,
7110,
7,
88,
11,
2124,
28,
14202,
11,
279,
28004,
11639,
29487,
3256,
2124,
75,
2436,
28,
14202,
11,
331,
75,
2436,
28,
14202,
11,
3670,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
300,
70,
358,
28,
14202,
11,
300,
4743,
66,
28,
14202,
11,
300,
10394,
28,
16,
13,
20,
11,
300,
7635,
11639,
39390,
3256,
285,
7857,
28,
21,
13,
15,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
285,
7635,
11639,
14202,
3256,
277,
14542,
89,
28,
14202,
11,
277,
4593,
76,
28,
14202,
11,
2336,
28,
14202,
11,
7877,
28,
14202,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
28114,
2173,
393,
3951,
287,
362,
35,
13,
1002,
257,
3785,
2134,
318,
7368,
788,
262,
198,
220,
220,
220,
7110,
318,
7428,
287,
326,
3785,
11,
290,
2336,
13,
12860,
3419,
318,
407,
1444,
13,
383,
3785,
198,
220,
220,
220,
318,
4838,
319,
1994,
5726,
705,
80,
4458,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
331,
1058,
7177,
62,
2339,
198,
220,
220,
220,
220,
220,
220,
220,
352,
67,
393,
362,
67,
7177,
286,
1366,
284,
7110,
13,
1002,
257,
362,
67,
7177,
11,
1123,
5721,
318,
198,
220,
220,
220,
220,
220,
220,
220,
37515,
355,
257,
4553,
12133,
13,
198,
220,
220,
220,
2124,
1058,
7177,
62,
2339,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
27068,
329,
2124,
12,
22704,
286,
262,
7110,
198,
220,
220,
220,
279,
28004,
1058,
4731,
11,
11902,
357,
12286,
705,
29487,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
28114,
2099,
20855,
357,
25811,
389,
705,
29487,
3256,
705,
325,
25433,
519,
87,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
705,
43616,
19202,
3256,
290,
705,
6404,
6404,
11537,
198,
220,
220,
220,
2124,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
2124,
12,
22704,
198,
220,
220,
220,
331,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
331,
12,
22704,
198,
220,
220,
220,
3670,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
3670,
198,
220,
220,
220,
300,
70,
358,
1058,
1351,
286,
13042,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
7343,
286,
8177,
4731,
198,
220,
220,
220,
300,
4743,
66,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
9883,
4067,
4731,
198,
220,
220,
220,
300,
10394,
1058,
12178,
11,
11902,
357,
12286,
352,
13,
20,
8,
198,
220,
220,
220,
220,
220,
220,
220,
6910,
9647,
198,
220,
220,
220,
300,
7635,
1058,
4731,
11,
11902,
357,
12286,
705,
39390,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
6910,
3918,
357,
3826,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
6615,
13,
13949,
17,
35,
63,
8,
198,
220,
220,
220,
285,
7857,
1058,
12178,
11,
11902,
357,
12286,
718,
13,
15,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2940,
263,
2546,
198,
220,
220,
220,
285,
7635,
1058,
4731,
11,
11902,
357,
12286,
705,
14202,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
2940,
263,
3918,
357,
3826,
1058,
4666,
25,
63,
6759,
29487,
8019,
13,
4102,
364,
63,
8,
198,
220,
220,
220,
277,
14542,
89,
1058,
46545,
357,
10394,
11,
17015,
828,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
3785,
15225,
287,
8331,
198,
220,
220,
220,
277,
4593,
76,
1058,
18253,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
1271,
286,
3785,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
15315,
287,
7368,
3785,
2427,
286,
4441,
530,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
28114,
287,
7368,
34197,
2427,
286,
1459,
34197,
286,
3785,
628,
220,
220,
220,
16409,
198,
220,
220,
220,
35656,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
198,
220,
220,
220,
220,
220,
11291,
2134,
329,
428,
3785,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
198,
220,
220,
220,
220,
220,
12176,
274,
2134,
329,
428,
7110,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
2336,
79,
796,
2336,
198,
220,
220,
220,
611,
2336,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
796,
458,
83,
13,
26875,
7,
22510,
28,
69,
4593,
76,
11,
2336,
7857,
28,
69,
14542,
89,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
565,
69,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
70,
6888,
3419,
198,
220,
220,
220,
1288,
361,
7877,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
70,
6888,
3419,
628,
220,
220,
220,
611,
279,
28004,
407,
287,
19203,
29487,
3256,
705,
325,
25433,
519,
87,
3256,
705,
43616,
19202,
3256,
705,
6404,
6404,
6,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
7203,
44651,
7110,
2099,
705,
4,
82,
29653,
4064,
279,
28004,
8,
198,
220,
220,
220,
458,
17209,
400,
796,
651,
35226,
7,
897,
11,
279,
28004,
8,
198,
220,
220,
220,
611,
2124,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
458,
83,
18755,
796,
458,
17209,
400,
7,
88,
11,
9493,
413,
5649,
28,
75,
10394,
11,
9493,
10992,
28,
75,
7635,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
18364,
28,
76,
7635,
11,
19736,
1096,
28,
907,
1096,
8,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
458,
83,
18755,
796,
458,
17209,
400,
7,
87,
11,
331,
11,
9493,
413,
5649,
28,
75,
10394,
11,
9493,
10992,
28,
75,
7635,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
18364,
28,
76,
7635,
11,
19736,
1096,
28,
907,
1096,
8,
628,
220,
220,
220,
611,
3670,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
7839,
7,
7839,
8,
198,
220,
220,
220,
611,
2124,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
87,
18242,
7,
87,
75,
2436,
8,
198,
220,
220,
220,
611,
331,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
2645,
9608,
7,
2645,
2436,
8,
198,
220,
220,
220,
611,
300,
70,
358,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
1455,
437,
7,
75,
70,
358,
11,
1179,
28,
75,
4743,
66,
8,
628,
220,
220,
220,
10199,
62,
2539,
8439,
7,
5647,
8,
628,
220,
220,
220,
611,
423,
62,
3149,
335,
66,
25,
198,
220,
220,
220,
220,
220,
220,
220,
29034,
335,
66,
13,
19608,
330,
21471,
7,
489,
83,
18755,
8,
628,
220,
220,
220,
611,
2336,
79,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
12860,
3419,
628,
220,
220,
220,
1441,
2336,
11,
7877,
628,
198,
198,
4299,
9053,
7,
89,
11,
2124,
28,
14202,
11,
331,
28,
14202,
11,
7662,
28,
14202,
11,
35560,
320,
28,
14202,
11,
2124,
75,
2436,
28,
14202,
11,
331,
75,
2436,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
1976,
75,
2436,
28,
14202,
11,
3670,
28,
14202,
11,
300,
2436,
15636,
28,
23,
13,
15,
11,
269,
429,
81,
28,
14202,
11,
269,
8899,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
277,
14542,
89,
28,
14202,
11,
277,
4593,
76,
28,
14202,
11,
2336,
28,
14202,
11,
7877,
28,
14202,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
28114,
257,
362,
35,
4417,
287,
513,
35,
13,
1002,
257,
3785,
2134,
318,
7368,
788,
262,
198,
220,
220,
220,
4417,
318,
7428,
287,
326,
3785,
11,
290,
2336,
13,
12860,
3419,
318,
407,
1444,
13,
383,
198,
220,
220,
220,
3785,
318,
4838,
319,
1994,
5726,
705,
80,
4458,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
1976,
1058,
7177,
62,
2339,
198,
220,
220,
220,
220,
220,
220,
220,
362,
67,
7177,
286,
1366,
284,
7110,
198,
220,
220,
220,
2124,
1058,
7177,
62,
2339,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
27068,
329,
2124,
12,
22704,
286,
262,
7110,
198,
220,
220,
220,
331,
1058,
7177,
62,
2339,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
27068,
329,
331,
12,
22704,
286,
262,
7110,
198,
220,
220,
220,
7662,
1058,
12178,
198,
220,
220,
220,
220,
220,
220,
220,
37881,
341,
9848,
357,
259,
7370,
8,
287,
262,
1976,
6614,
198,
220,
220,
220,
35560,
320,
1058,
11511,
265,
198,
220,
220,
220,
220,
220,
220,
220,
7578,
320,
1071,
9848,
220,
357,
259,
7370,
8,
287,
262,
2124,
11,
88,
6614,
198,
220,
220,
220,
2124,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
2124,
12,
22704,
198,
220,
220,
220,
331,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
331,
12,
22704,
198,
220,
220,
220,
1976,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
1976,
12,
22704,
198,
220,
220,
220,
3670,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
3670,
198,
220,
220,
220,
300,
2436,
15636,
1058,
12178,
11,
11902,
357,
12286,
807,
13,
15,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
24511,
198,
220,
220,
220,
269,
429,
81,
1058,
493,
393,
8379,
286,
493,
82,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1002,
407,
6045,
11,
7110,
542,
4662,
286,
262,
4417,
319,
262,
2793,
886,
286,
198,
220,
220,
220,
220,
220,
220,
220,
262,
1976,
12,
22704,
13,
1052,
493,
26052,
262,
1271,
286,
542,
4662,
284,
7110,
11,
290,
198,
220,
220,
220,
220,
220,
220,
220,
257,
8379,
26052,
262,
2176,
542,
454,
2974,
284,
7110,
13,
198,
220,
220,
220,
269,
8899,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
4033,
669,
13,
5216,
579,
499,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
38773,
3975,
329,
4417,
13,
1002,
4844,
1020,
361,
276,
11,
26235,
284,
12067,
13,
24494,
31975,
198,
220,
220,
220,
277,
14542,
89,
1058,
46545,
357,
10394,
11,
17015,
828,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
3785,
15225,
287,
8331,
198,
220,
220,
220,
277,
4593,
76,
1058,
18253,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
1271,
286,
3785,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
15315,
287,
7368,
3785,
2427,
286,
4441,
530,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
28114,
287,
7368,
34197,
2427,
286,
4441,
530,
628,
220,
220,
220,
16409,
198,
220,
220,
220,
35656,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
198,
220,
220,
220,
220,
220,
11291,
2134,
329,
428,
3785,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
198,
220,
220,
220,
220,
220,
12176,
274,
2134,
329,
428,
7110,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
2336,
79,
796,
2336,
198,
220,
220,
220,
611,
2336,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
796,
458,
83,
13,
26875,
7,
22510,
28,
69,
4593,
76,
11,
2336,
7857,
28,
69,
14542,
89,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
565,
69,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
458,
83,
13,
897,
274,
7,
16302,
295,
11639,
18,
67,
11537,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
611,
7877,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
458,
83,
13,
897,
274,
7,
16302,
295,
11639,
18,
67,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
4091,
3740,
1378,
25558,
2502,
11125,
13,
785,
14,
64,
14,
40064,
5066,
36088,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
3740,
1378,
25558,
2502,
11125,
13,
785,
14,
64,
14,
2327,
1828,
1157,
1433,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
7877,
13,
3672,
14512,
705,
18,
67,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
28956,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
2860,
62,
7266,
29487,
46491,
897,
13,
1136,
62,
469,
15748,
22784,
20128,
11639,
18,
67,
11537,
628,
220,
220,
220,
611,
7662,
318,
407,
6045,
393,
35560,
320,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
1177,
62,
15003,
7,
68,
2768,
28,
68,
2768,
11,
35560,
320,
28,
1031,
320,
8,
628,
220,
220,
220,
611,
269,
8899,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
269,
8899,
796,
12067,
13,
24494,
31975,
628,
220,
220,
220,
611,
2124,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2124,
796,
2837,
7,
89,
13,
43358,
58,
16,
12962,
198,
220,
220,
220,
611,
331,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
331,
796,
2837,
7,
89,
13,
43358,
58,
15,
12962,
628,
220,
220,
220,
2124,
70,
11,
331,
70,
796,
45941,
13,
76,
5069,
25928,
7,
87,
11,
331,
8,
198,
220,
220,
220,
7877,
13,
29487,
62,
42029,
7,
87,
70,
11,
331,
70,
11,
1976,
11,
374,
2536,
485,
28,
16,
11,
269,
2536,
485,
28,
16,
11,
269,
8899,
28,
66,
8899,
8,
628,
220,
220,
220,
611,
269,
429,
81,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
11677,
796,
45941,
13,
14145,
7,
89,
13,
1084,
3419,
532,
657,
13,
17,
1635,
357,
89,
13,
9806,
3419,
532,
1976,
13,
1084,
3419,
828,
513,
8,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
3642,
454,
7,
87,
70,
11,
331,
70,
11,
1976,
11,
269,
429,
81,
11,
9493,
413,
5649,
82,
28,
17,
11,
269,
8899,
28,
66,
8899,
11,
9493,
42530,
2625,
39390,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11677,
28,
28968,
8,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
89,
2475,
7,
28968,
11,
7877,
13,
1136,
62,
89,
2475,
3419,
58,
16,
12962,
628,
220,
220,
220,
611,
3670,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
7839,
7,
7839,
8,
198,
220,
220,
220,
611,
2124,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
87,
18242,
7,
87,
75,
2436,
11,
6167,
15636,
28,
75,
2436,
15636,
8,
198,
220,
220,
220,
611,
331,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
2645,
9608,
7,
2645,
2436,
11,
6167,
15636,
28,
75,
2436,
15636,
8,
198,
220,
220,
220,
611,
1976,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
89,
18242,
7,
48274,
2436,
11,
6167,
15636,
28,
75,
2436,
15636,
8,
628,
220,
220,
220,
10199,
62,
2539,
8439,
7,
5647,
8,
628,
220,
220,
220,
611,
2336,
79,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
12860,
3419,
628,
220,
220,
220,
1441,
2336,
11,
7877,
628,
198,
198,
4299,
542,
454,
7,
89,
11,
2124,
28,
14202,
11,
331,
28,
14202,
11,
410,
28,
20,
11,
2124,
75,
2436,
28,
14202,
11,
331,
75,
2436,
28,
14202,
11,
3670,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30218,
429,
82,
89,
28,
940,
11,
300,
69,
429,
82,
89,
28,
14202,
11,
9913,
79,
11639,
65,
291,
549,
291,
3256,
17130,
28,
15,
13,
20,
11,
269,
8899,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
1084,
28,
14202,
11,
410,
9806,
28,
14202,
11,
277,
14542,
89,
28,
14202,
11,
277,
4593,
76,
28,
14202,
11,
2336,
28,
14202,
11,
7877,
28,
14202,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2345,
454,
7110,
286,
257,
362,
35,
4417,
13,
1002,
257,
3785,
2134,
318,
7368,
788,
262,
198,
220,
220,
220,
7110,
318,
7428,
287,
326,
3785,
11,
290,
2336,
13,
12860,
3419,
318,
407,
1444,
13,
383,
3785,
198,
220,
220,
220,
318,
4838,
319,
1994,
5726,
705,
80,
4458,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
1976,
1058,
7177,
62,
2339,
198,
220,
220,
220,
220,
220,
220,
220,
362,
67,
7177,
286,
1366,
284,
7110,
198,
220,
220,
220,
2124,
1058,
7177,
62,
2339,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
27068,
329,
2124,
12,
22704,
286,
262,
7110,
198,
220,
220,
220,
331,
1058,
7177,
62,
2339,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
27068,
329,
331,
12,
22704,
286,
262,
7110,
198,
220,
220,
220,
410,
1058,
493,
393,
8379,
286,
493,
82,
11,
11902,
357,
12286,
642,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1052,
493,
26052,
262,
1271,
286,
542,
4662,
284,
7110,
11,
290,
257,
8379,
198,
220,
220,
220,
220,
220,
220,
220,
26052,
262,
2176,
542,
454,
2974,
284,
7110,
13,
198,
220,
220,
220,
2124,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
2124,
12,
22704,
198,
220,
220,
220,
331,
75,
2436,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
36052,
329,
331,
12,
22704,
198,
220,
220,
220,
3670,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
3670,
198,
220,
220,
220,
30218,
429,
82,
89,
1058,
493,
393,
6045,
11,
11902,
357,
12286,
838,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2345,
454,
6167,
10369,
2546,
13,
1400,
542,
454,
14722,
389,
9066,
611,
198,
220,
220,
220,
220,
220,
220,
220,
900,
284,
657,
393,
6045,
13,
198,
220,
220,
220,
300,
69,
429,
82,
89,
1058,
493,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
38349,
6167,
10369,
2546,
13,
383,
4277,
10369,
2546,
318,
973,
611,
900,
284,
6045,
13,
198,
220,
220,
220,
9913,
79,
1058,
4731,
11,
11902,
357,
12286,
705,
65,
291,
549,
291,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
2099,
286,
39555,
341,
973,
284,
3359,
2939,
10238,
198,
220,
220,
220,
220,
220,
220,
220,
542,
4662,
357,
3826,
7559,
3849,
16104,
341,
15506,
11507,
286,
198,
220,
220,
220,
220,
220,
220,
220,
1058,
76,
2788,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
13,
320,
12860,
63,
8,
198,
220,
220,
220,
17130,
1058,
12178,
11,
11902,
357,
12286,
657,
13,
20,
8,
198,
220,
220,
220,
220,
220,
220,
220,
4698,
3157,
2939,
3359,
17130,
1988,
198,
220,
220,
220,
269,
8899,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
4033,
669,
13,
5216,
579,
499,
47671,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
38773,
3975,
329,
4417,
13,
1002,
4844,
1020,
361,
276,
11,
26235,
284,
12067,
13,
24494,
31975,
198,
220,
220,
220,
410,
1084,
11,
410,
9806,
1058,
12178,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
5345,
6727,
290,
2793,
22303,
329,
262,
9568,
3975,
357,
3826,
262,
11188,
198,
220,
220,
220,
220,
220,
220,
220,
10007,
286,
1058,
76,
2788,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
13,
320,
12860,
63,
8,
198,
220,
220,
220,
277,
14542,
89,
1058,
46545,
357,
10394,
11,
17015,
828,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
3785,
15225,
287,
8331,
198,
220,
220,
220,
277,
4593,
76,
1058,
18253,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
1271,
286,
3785,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
15315,
287,
7368,
3785,
2427,
286,
4441,
530,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
28114,
287,
7368,
34197,
2427,
286,
1459,
34197,
286,
3785,
628,
220,
220,
220,
16409,
198,
220,
220,
220,
35656,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
198,
220,
220,
220,
220,
220,
11291,
2134,
329,
428,
3785,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
198,
220,
220,
220,
220,
220,
12176,
274,
2134,
329,
428,
7110,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
2336,
79,
796,
2336,
198,
220,
220,
220,
611,
2336,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
796,
458,
83,
13,
26875,
7,
22510,
28,
69,
4593,
76,
11,
2336,
7857,
28,
69,
14542,
89,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
565,
69,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
70,
6888,
3419,
198,
220,
220,
220,
1288,
361,
7877,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
70,
6888,
3419,
628,
220,
220,
220,
611,
269,
8899,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
269,
8899,
796,
12067,
13,
24494,
31975,
628,
220,
220,
220,
611,
2124,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2124,
796,
45941,
13,
283,
858,
7,
89,
13,
43358,
58,
16,
12962,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2124,
796,
45941,
13,
18747,
7,
87,
8,
198,
220,
220,
220,
611,
331,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
331,
796,
45941,
13,
283,
858,
7,
89,
13,
43358,
58,
15,
12962,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
331,
796,
45941,
13,
18747,
7,
88,
8,
198,
220,
220,
220,
2124,
70,
11,
331,
70,
796,
45941,
13,
76,
5069,
25928,
7,
87,
11,
331,
8,
628,
220,
220,
220,
269,
429,
81,
796,
7877,
13,
3642,
454,
7,
87,
70,
11,
331,
70,
11,
1976,
11,
410,
11,
7577,
11639,
13424,
11537,
198,
220,
220,
220,
611,
30218,
429,
82,
89,
318,
407,
6045,
290,
30218,
429,
82,
89,
1875,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
458,
83,
13,
565,
9608,
7,
66,
429,
81,
11,
26098,
28,
17821,
11,
10369,
7857,
28,
12993,
429,
82,
89,
8,
198,
220,
220,
220,
545,
796,
7877,
13,
320,
12860,
7,
89,
11,
8159,
11639,
21037,
3256,
39555,
341,
28,
600,
81,
79,
11,
4843,
11639,
23736,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6287,
41888,
87,
13,
1084,
22784,
2124,
13,
9806,
22784,
331,
13,
1084,
22784,
331,
13,
9806,
3419,
4357,
269,
8899,
28,
66,
8899,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
1084,
28,
85,
1084,
11,
410,
9806,
28,
85,
9806,
11,
17130,
28,
26591,
8,
628,
220,
220,
220,
611,
3670,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
7839,
7,
7839,
8,
198,
220,
220,
220,
611,
2124,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
87,
18242,
7,
87,
75,
2436,
11,
10369,
7857,
28,
1652,
429,
82,
89,
8,
198,
220,
220,
220,
611,
331,
75,
2436,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
2645,
9608,
7,
2645,
2436,
11,
10369,
7857,
28,
1652,
429,
82,
89,
8,
628,
220,
220,
220,
2659,
1304,
796,
787,
62,
897,
274,
62,
17946,
21156,
7,
897,
8,
198,
220,
220,
220,
269,
897,
796,
2659,
1304,
13,
33295,
62,
897,
274,
7203,
3506,
1600,
2546,
2625,
20,
4,
1600,
14841,
28,
15,
13,
17,
8,
198,
220,
220,
220,
458,
83,
13,
8043,
5657,
7,
320,
11,
7877,
28,
897,
11,
269,
897,
28,
66,
897,
8,
628,
220,
220,
220,
10199,
62,
2539,
8439,
7,
5647,
8,
628,
220,
220,
220,
611,
423,
62,
3149,
335,
66,
25,
198,
220,
220,
220,
220,
220,
220,
220,
29034,
335,
66,
13,
19608,
330,
21471,
3419,
628,
220,
220,
220,
611,
2336,
79,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
12860,
3419,
628,
220,
220,
220,
1441,
2336,
11,
7877,
628,
198,
198,
4299,
545,
1177,
7,
9600,
11,
3670,
28,
14202,
11,
4866,
28,
17821,
11,
781,
912,
565,
28,
25101,
11,
9913,
79,
11639,
710,
12423,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2593,
28,
14202,
11,
269,
5657,
28,
25101,
11,
269,
8899,
28,
14202,
11,
277,
14542,
89,
28,
14202,
11,
277,
4593,
76,
28,
14202,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2336,
28,
14202,
11,
7877,
28,
14202,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
16531,
281,
2939,
13,
11349,
3815,
389,
9066,
618,
262,
17562,
318,
625,
198,
220,
220,
220,
4938,
2939,
1366,
13,
220,
1002,
257,
3785,
2134,
318,
7368,
788,
262,
2939,
318,
198,
220,
220,
220,
7428,
287,
326,
3785,
11,
290,
2336,
13,
12860,
3419,
318,
407,
1444,
13,
383,
3785,
318,
198,
220,
220,
220,
4838,
319,
1994,
5726,
705,
80,
4458,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
33705,
1058,
7177,
62,
2339,
11,
5485,
357,
45,
81,
11,
399,
66,
8,
393,
357,
45,
81,
11,
399,
66,
11,
513,
8,
393,
357,
45,
81,
11,
399,
66,
11,
604,
8,
198,
220,
220,
220,
220,
220,
220,
220,
7412,
284,
3359,
198,
220,
220,
220,
3670,
1058,
4731,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
3670,
198,
220,
220,
220,
4866,
1058,
25131,
11,
11902,
357,
12286,
6407,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1002,
6407,
11,
2251,
257,
4866,
286,
5128,
4600,
9600,
63,
355,
257,
4941,
329,
9066,
198,
220,
220,
220,
220,
220,
220,
220,
17465,
3815,
11,
13359,
326,
9066,
3815,
466,
407,
1487,
618,
262,
198,
220,
220,
220,
220,
220,
220,
220,
7177,
2458,
287,
262,
4585,
8354,
13,
5345,
428,
6056,
284,
10352,
611,
262,
198,
220,
220,
220,
220,
220,
220,
220,
16965,
286,
281,
3224,
4866,
286,
262,
5128,
2939,
318,
407,
10909,
13,
198,
220,
220,
220,
781,
912,
565,
1058,
25131,
11,
11902,
357,
12286,
10352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1002,
6407,
11,
6811,
1000,
290,
6482,
12462,
966,
26515,
284,
685,
15,
11,
16,
60,
198,
220,
220,
220,
9913,
79,
1058,
4731,
11,
11902,
357,
12286,
705,
710,
12423,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
2099,
286,
39555,
341,
973,
284,
3359,
2939,
357,
3826,
198,
220,
220,
220,
220,
220,
220,
220,
7559,
3849,
16104,
341,
15506,
11507,
286,
1058,
76,
2788,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
13,
320,
12860,
63,
8,
198,
220,
220,
220,
2593,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
4033,
669,
13,
26447,
1096,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
262,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
4033,
669,
13,
26447,
1096,
63,
4554,
973,
284,
198,
220,
220,
220,
220,
220,
220,
220,
5046,
17465,
3815,
329,
5128,
284,
262,
9568,
3975,
198,
220,
220,
220,
269,
5657,
1058,
25131,
11,
11902,
357,
12286,
10352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
19762,
12739,
1771,
284,
3359,
3124,
5657,
198,
220,
220,
220,
269,
8899,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
4033,
669,
13,
5216,
579,
499,
47671,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
38773,
3975,
329,
2939,
13,
1002,
4844,
1020,
361,
276,
11,
26235,
284,
12067,
13,
43887,
893,
62,
81,
198,
220,
220,
220,
220,
220,
220,
220,
329,
937,
5374,
5998,
2939,
198,
220,
220,
220,
277,
14542,
89,
1058,
46545,
357,
10394,
11,
17015,
828,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
18291,
1958,
3785,
15225,
287,
8331,
198,
220,
220,
220,
277,
4593,
76,
1058,
18253,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
1271,
286,
3785,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
15315,
287,
7368,
3785,
2427,
286,
4441,
530,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
11,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
28114,
287,
7368,
34197,
2427,
286,
1459,
34197,
286,
3785,
628,
220,
220,
220,
16409,
198,
220,
220,
220,
35656,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
198,
220,
220,
220,
220,
220,
11291,
2134,
329,
428,
3785,
198,
220,
220,
220,
7877,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
897,
274,
13,
31554,
274,
63,
2134,
198,
220,
220,
220,
220,
220,
12176,
274,
2134,
329,
428,
7110,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
611,
33705,
13,
358,
320,
1875,
362,
290,
33705,
13,
43358,
58,
17,
60,
14512,
513,
25,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
11052,
12331,
10786,
28100,
1713,
33705,
1276,
307,
281,
399,
81,
2124,
399,
66,
7177,
393,
281,
705,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
45,
81,
2124,
399,
66,
2124,
513,
7177,
11537,
628,
220,
220,
220,
2336,
79,
796,
2336,
198,
220,
220,
220,
611,
2336,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
796,
458,
83,
13,
26875,
7,
22510,
28,
69,
4593,
76,
11,
2336,
7857,
28,
69,
14542,
89,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
565,
69,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
70,
6888,
3419,
198,
220,
220,
220,
1288,
361,
7877,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
796,
2336,
13,
70,
6888,
3419,
628,
220,
220,
220,
7877,
13,
2617,
62,
23032,
540,
10786,
3524,
12,
12072,
11537,
628,
220,
220,
220,
545,
21287,
796,
33705,
13,
30073,
3419,
198,
220,
220,
220,
611,
4866,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
9175,
257,
4553,
4866,
286,
262,
5128,
2939,
523,
326,
262,
2656,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
17465,
3815,
460,
307,
3359,
2138,
621,
262,
27464,
17465,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
3815,
326,
389,
1682,
37515,
13,
198,
220,
220,
220,
220,
220,
220,
220,
33705,
796,
33705,
13,
30073,
3419,
628,
220,
220,
220,
611,
269,
8899,
318,
6045,
290,
33705,
13,
358,
320,
6624,
362,
25,
198,
220,
220,
220,
220,
220,
220,
220,
269,
8899,
796,
12067,
13,
43887,
893,
62,
81,
628,
220,
220,
220,
611,
45941,
13,
747,
549,
67,
4906,
7,
9600,
13,
67,
4906,
11,
45941,
13,
48679,
803,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
611,
781,
912,
565,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
21287,
48185,
545,
21287,
13,
1084,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
21287,
1220,
28,
545,
21287,
13,
9806,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
611,
33705,
13,
358,
320,
1875,
362,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
21287,
796,
45941,
13,
15036,
7,
9600,
67,
11,
657,
13,
15,
11,
352,
13,
15,
8,
198,
220,
220,
220,
1288,
361,
33705,
13,
67,
4906,
6624,
45941,
13,
28611,
1433,
25,
198,
220,
220,
220,
220,
220,
220,
220,
545,
21287,
796,
45941,
13,
22468,
1433,
7,
9600,
67,
8,
1220,
45941,
13,
72,
10951,
7,
37659,
13,
28611,
1433,
737,
9806,
198,
220,
220,
220,
1288,
361,
33705,
13,
67,
4906,
6624,
45941,
13,
600,
1433,
25,
198,
220,
220,
220,
220,
220,
220,
220,
545,
21287,
796,
45941,
13,
22468,
1433,
7,
9600,
67,
8,
532,
545,
21287,
13,
1084,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
545,
21287,
1220,
28,
545,
21287,
13,
9806,
3419,
628,
220,
220,
220,
611,
2593,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
545,
796,
7877,
13,
320,
12860,
7,
9600,
67,
11,
269,
8899,
28,
66,
8899,
11,
39555,
341,
28,
600,
81,
79,
11,
410,
1084,
28,
9600,
67,
13,
1084,
22784,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
410,
9806,
28,
9600,
67,
13,
9806,
28955,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
545,
796,
7877,
13,
320,
12860,
7,
9600,
67,
11,
269,
8899,
28,
66,
8899,
11,
39555,
341,
28,
600,
81,
79,
11,
2593,
28,
27237,
8,
628,
220,
220,
220,
7877,
13,
2617,
62,
20760,
624,
23912,
1424,
26933,
12962,
198,
220,
220,
220,
7877,
13,
2617,
62,
742,
624,
23912,
1424,
26933,
12962,
628,
220,
220,
220,
611,
3670,
318,
407,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7877,
13,
2617,
62,
7839,
7,
7839,
8,
628,
220,
220,
220,
611,
269,
5657,
393,
269,
5657,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
11367,
796,
705,
1851,
605,
6,
611,
33705,
13,
43358,
58,
15,
60,
18189,
33705,
13,
43358,
58,
16,
60,
2073,
705,
17899,
38342,
6,
198,
220,
220,
220,
220,
220,
220,
220,
1426,
796,
705,
3506,
6,
611,
11367,
6624,
705,
1851,
605,
6,
2073,
705,
22487,
6,
198,
220,
220,
220,
220,
220,
220,
220,
2659,
1304,
796,
787,
62,
897,
274,
62,
17946,
21156,
7,
897,
8,
198,
220,
220,
220,
220,
220,
220,
220,
269,
897,
796,
2659,
1304,
13,
33295,
62,
897,
274,
7,
1930,
11,
2546,
2625,
20,
4,
1600,
14841,
28,
15,
13,
17,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
269,
5657,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
4091,
2638,
1378,
354,
2442,
2327,
86,
2171,
13,
12567,
13,
952,
14,
6759,
29487,
8019,
62,
22704,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
468,
35226,
7,
66,
897,
11,
705,
2617,
62,
2550,
8043,
6,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
269,
897,
13,
2617,
62,
2550,
8043,
10786,
23108,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
269,
897,
13,
2617,
62,
22704,
62,
35904,
8043,
10786,
23108,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
16488,
287,
37250,
4852,
3256,
705,
22487,
3256,
705,
9464,
3256,
705,
3506,
6,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
269,
897,
13,
2777,
1127,
58,
22704,
4083,
2617,
62,
2815,
413,
5649,
7,
15,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
269,
897,
13,
2617,
62,
742,
3378,
26933,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
269,
897,
13,
2617,
62,
20760,
3378,
26933,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
458,
83,
13,
8043,
5657,
7,
320,
11,
7877,
28,
897,
11,
269,
897,
28,
66,
897,
11,
12852,
28,
13989,
8,
628,
220,
220,
220,
7877,
13,
18982,
62,
37652,
796,
5794,
62,
37652,
628,
220,
220,
220,
10199,
62,
2539,
8439,
7,
5647,
8,
628,
220,
220,
220,
611,
423,
62,
3149,
335,
66,
25,
198,
220,
220,
220,
220,
220,
220,
220,
29034,
335,
66,
13,
19608,
330,
21471,
7,
13812,
11639,
29762,
11537,
628,
220,
220,
220,
611,
2336,
79,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2336,
13,
12860,
3419,
628,
220,
220,
220,
1441,
2336,
11,
7877,
628,
198,
198,
4299,
1969,
7,
5647,
28,
14202,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
13872,
3785,
7,
82,
737,
1002,
257,
3785,
2134,
4941,
393,
3785,
1271,
318,
198,
220,
220,
220,
2810,
11,
1969,
262,
7368,
3785,
11,
4306,
1969,
477,
5538,
13,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
2336,
1058,
1058,
4871,
25,
63,
6759,
29487,
8019,
13,
26875,
13,
11337,
63,
2134,
393,
18253,
11,
59,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11902,
357,
12286,
6045,
8,
198,
220,
220,
220,
220,
220,
220,
220,
11291,
2134,
393,
1271,
286,
3785,
284,
1969,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
611,
2336,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
458,
83,
13,
19836,
10786,
439,
11537,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
458,
83,
13,
19836,
7,
5647,
8,
628,
198,
198,
4299,
900,
62,
541,
7535,
62,
29487,
62,
1891,
437,
7,
1891,
437,
11639,
39568,
6,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
5345,
2603,
29487,
8019,
30203,
1626,
281,
20966,
7535,
7582,
13,
536,
82,
2163,
468,
262,
198,
220,
220,
220,
976,
1245,
355,
262,
1627,
5536,
7559,
4,
6759,
29487,
8019,
685,
1891,
437,
60,
15506,
475,
318,
1444,
198,
220,
220,
220,
355,
257,
2163,
290,
3407,
257,
2198,
284,
5004,
1771,
262,
2438,
318,
198,
220,
220,
220,
2491,
287,
281,
20966,
7535,
7582,
11,
523,
326,
340,
460,
11512,
307,
973,
1626,
257,
198,
220,
220,
220,
3487,
21015,
4226,
1201,
340,
468,
645,
1245,
618,
407,
2491,
287,
281,
198,
220,
220,
220,
20966,
7535,
7582,
13,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
30203,
1058,
4731,
11,
11902,
357,
12286,
705,
39568,
11537,
198,
220,
220,
220,
220,
220,
6530,
286,
30203,
284,
307,
3804,
284,
262,
7559,
4,
6759,
29487,
8019,
15506,
1627,
5536,
198,
220,
220,
220,
220,
220,
3141,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
422,
35810,
1073,
13,
22602,
1330,
287,
62,
541,
7535,
198,
220,
220,
220,
611,
287,
62,
541,
7535,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
4091,
3740,
1378,
25558,
2502,
11125,
13,
785,
14,
6138,
507,
14,
2327,
3270,
3553,
2791,
198,
220,
220,
220,
220,
220,
220,
220,
651,
62,
541,
7535,
22446,
5143,
62,
1370,
62,
32707,
10786,
6759,
29487,
8019,
3256,
30203,
8,
628,
198,
198,
4299,
900,
62,
11295,
2070,
62,
29487,
62,
1891,
437,
7,
1891,
437,
11639,
45145,
6,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
5345,
2603,
29487,
8019,
30203,
1626,
257,
449,
929,
88,
353,
5740,
2070,
7582,
13,
536,
82,
2163,
198,
220,
220,
220,
468,
262,
976,
1245,
355,
262,
1627,
5536,
7559,
4,
6759,
29487,
8019,
685,
1891,
437,
60,
15506,
475,
318,
198,
220,
220,
220,
1444,
355,
257,
2163,
290,
3407,
257,
2198,
284,
5004,
1771,
262,
2438,
198,
220,
220,
220,
318,
2491,
287,
257,
20922,
7582,
11,
523,
326,
340,
460,
11512,
307,
973,
1626,
257,
198,
220,
220,
220,
3487,
21015,
4226,
1201,
340,
468,
645,
1245,
618,
407,
2491,
287,
257,
198,
220,
220,
220,
20922,
7582,
13,
628,
220,
220,
220,
40117,
198,
220,
220,
220,
24200,
438,
198,
220,
220,
220,
30203,
1058,
4731,
11,
11902,
357,
12286,
705,
45145,
11537,
198,
220,
220,
220,
220,
220,
6530,
286,
30203,
284,
307,
3804,
284,
262,
7559,
4,
6759,
29487,
8019,
15506,
1627,
5536,
198,
220,
220,
220,
220,
220,
3141,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
422,
35810,
1073,
13,
22602,
1330,
287,
62,
11295,
2070,
198,
220,
220,
220,
611,
287,
62,
11295,
2070,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
4091,
3740,
1378,
25558,
2502,
11125,
13,
785,
14,
6138,
507,
14,
2327,
3270,
3553,
2791,
198,
220,
220,
220,
220,
220,
220,
220,
651,
62,
541,
7535,
22446,
5143,
62,
1370,
62,
32707,
10786,
6759,
29487,
8019,
3256,
30203,
8,
628,
198,
198,
4299,
4566,
62,
11295,
2070,
62,
29487,
889,
33529,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
17056,
495,
29353,
5499,
329,
26098,
29353,
1626,
257,
449,
929,
88,
353,
198,
220,
220,
220,
5740,
2070,
7582,
13,
770,
2163,
468,
645,
1245,
618,
407,
1626,
257,
198,
220,
220,
220,
20922,
7582,
11,
290,
743,
4361,
307,
973,
1626,
257,
3487,
21015,
198,
220,
220,
220,
4226,
13,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
1303,
6822,
1771,
2491,
1626,
257,
20922,
7582,
290,
423,
198,
220,
220,
220,
1303,
407,
1541,
21657,
39378,
262,
7110,
2163,
198,
220,
220,
220,
422,
35810,
1073,
13,
22602,
1330,
287,
62,
11295,
2070,
198,
220,
220,
220,
8265,
796,
25064,
13,
18170,
58,
834,
3672,
834,
60,
198,
220,
220,
220,
611,
287,
62,
11295,
2070,
3419,
290,
8265,
13,
29487,
13,
834,
3672,
834,
6624,
705,
29487,
10354,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
5345,
26098,
30203,
357,
72,
13,
68,
13,
4064,
6759,
29487,
8019,
26098,
8,
611,
287,
257,
20922,
7582,
198,
220,
220,
220,
220,
220,
220,
220,
900,
62,
11295,
2070,
62,
29487,
62,
1891,
437,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
40177,
7110,
2163,
351,
257,
29908,
2163,
326,
1221,
1371,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
663,
1441,
1988,
357,
33479,
257,
20922,
351,
26098,
29353,
11,
21528,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
389,
14184,
3474,
611,
262,
1441,
1988,
422,
262,
2656,
2163,
318,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
407,
8686,
284,
257,
7885,
8,
198,
220,
220,
220,
220,
220,
220,
220,
7110,
62,
14986,
796,
8265,
13,
29487,
198,
220,
220,
220,
220,
220,
220,
220,
8265,
13,
29487,
796,
7110,
62,
37150,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
40177,
9053,
2163,
351,
257,
29908,
2163,
326,
1221,
1371,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
663,
1441,
1988,
357,
3826,
2912,
329,
7110,
2163,
8,
198,
220,
220,
220,
220,
220,
220,
220,
9053,
62,
14986,
796,
8265,
13,
11793,
69,
198,
220,
220,
220,
220,
220,
220,
220,
8265,
13,
11793,
69,
796,
9053,
62,
37150,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
40177,
542,
454,
2163,
351,
257,
29908,
2163,
326,
1221,
1371,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
663,
1441,
1988,
357,
3826,
2912,
329,
7110,
2163,
8,
198,
220,
220,
220,
220,
220,
220,
220,
542,
454,
62,
14986,
796,
8265,
13,
3642,
454,
198,
220,
220,
220,
220,
220,
220,
220,
8265,
13,
3642,
454,
796,
542,
454,
62,
37150,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
40177,
545,
1177,
2163,
351,
257,
29908,
2163,
326,
1221,
1371,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
663,
1441,
1988,
357,
3826,
2912,
329,
7110,
2163,
8,
198,
220,
220,
220,
220,
220,
220,
220,
545,
1177,
62,
14986,
796,
8265,
13,
320,
1177,
198,
220,
220,
220,
220,
220,
220,
220,
8265,
13,
320,
1177,
796,
545,
1177,
62,
37150,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
31529,
3785,
905,
2446,
357,
43420,
287,
257,
6509,
611,
973,
1626,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
257,
20922,
351,
26098,
29353,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1330,
2603,
29487,
8019,
13,
26875,
198,
220,
220,
220,
220,
220,
220,
220,
2603,
29487,
8019,
13,
26875,
13,
11337,
13,
12860,
796,
905,
62,
40223,
198
] | 2.447272 | 8,449 |
from onmt.translate.Translator import Translator
from onmt.translate.Translation import Translation, TranslationBuilder
from onmt.translate.Beam import Beam, GNMTGlobalScorer
__all__ = [Translator, Translation, Beam, GNMTGlobalScorer, TranslationBuilder]
| [
6738,
319,
16762,
13,
7645,
17660,
13,
8291,
41880,
1330,
3602,
41880,
198,
6738,
319,
16762,
13,
7645,
17660,
13,
48313,
1330,
33322,
11,
33322,
32875,
198,
6738,
319,
16762,
13,
7645,
17660,
13,
3856,
321,
1330,
25855,
11,
15484,
13752,
22289,
3351,
11934,
198,
198,
834,
439,
834,
796,
685,
8291,
41880,
11,
33322,
11,
25855,
11,
15484,
13752,
22289,
3351,
11934,
11,
33322,
32875,
60,
198
] | 3.764706 | 68 |
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="ticks")
sns.set_context("poster")
import sys, os
from nested_dict import nested_dict
import pandas as pd
import numpy as np
from pyfasta import Fasta
import os
import re
from scipy import stats
import util
get_stat(prefix='/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape_different_cutoff')
# null_sequential_pattern()
# expression_vs_null_pct()
# reactivity_stat_df1 = value_dist('/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out:/home/gongjing/project/shape_imputation/data/mes_wc_vivo/3.shape/shape.c200T2M0m0.out:/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vivo/3.shape/shape.c200T2M0m0.out:/home/gongjing/project/shape_imputation/data/DMSseq_K562_vivo/3.shape/shape.c200T2M0m0.out', label='icSHAPE_HEK293:icSHAPE_mES:DMSseq_fibroblast:DMSseq_K562', savefn='/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vivo/3.shape/shape_value_dist.pdf')
# reactivity_stat_df2 = value_dist('/home/gongjing/project/shape_imputation/data/DMSseq_fibroblast_vivo/3.shape/shape.c200T2M0m0.out')
# shape_fragment_null_sequential_pattern()
# f='/data/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/low_depth_null/sampling/windowLen100.sliding100.train.low_60_1234.null_pattern.x10.chrom0.txt'
# f='/data/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_x10_then_pct30_maxL20/windowLen100.sliding100.trainx10_randomNULL0.3.txt'
# shape_fragment_null_sequential_pattern(out=f) | [
11748,
2603,
29487,
8019,
355,
285,
489,
198,
76,
489,
13,
1904,
10786,
46384,
11537,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
384,
397,
1211,
355,
3013,
82,
198,
82,
5907,
13,
2617,
7,
7635,
2625,
83,
3378,
4943,
198,
82,
5907,
13,
2617,
62,
22866,
7203,
79,
6197,
4943,
198,
11748,
25064,
11,
28686,
198,
6738,
28376,
62,
11600,
1330,
28376,
62,
11600,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
12972,
7217,
64,
1330,
12549,
64,
198,
11748,
28686,
198,
11748,
302,
198,
6738,
629,
541,
88,
1330,
9756,
198,
11748,
7736,
198,
198,
1136,
62,
14269,
7,
40290,
11639,
14,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
258,
74,
62,
86,
66,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
62,
39799,
62,
8968,
2364,
11537,
198,
198,
2,
9242,
62,
3107,
1843,
62,
33279,
3419,
198,
198,
2,
5408,
62,
14259,
62,
8423,
62,
79,
310,
3419,
198,
198,
2,
6324,
3458,
62,
14269,
62,
7568,
16,
796,
1988,
62,
17080,
10786,
14,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
258,
74,
62,
86,
66,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
14079,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
6880,
62,
86,
66,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
14079,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
35,
5653,
41068,
62,
69,
571,
305,
39806,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
14079,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
35,
5653,
41068,
62,
42,
43918,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
3256,
6167,
11639,
291,
9693,
45721,
62,
13909,
42,
31675,
25,
291,
9693,
45721,
62,
76,
1546,
25,
35,
5653,
41068,
62,
69,
571,
305,
39806,
25,
35,
5653,
41068,
62,
42,
43918,
3256,
3613,
22184,
11639,
14,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
35,
5653,
41068,
62,
69,
571,
305,
39806,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
62,
8367,
62,
17080,
13,
12315,
11537,
198,
2,
6324,
3458,
62,
14269,
62,
7568,
17,
796,
1988,
62,
17080,
10786,
14,
11195,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
35,
5653,
41068,
62,
69,
571,
305,
39806,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
11537,
628,
198,
2,
5485,
62,
8310,
363,
434,
62,
8423,
62,
3107,
1843,
62,
33279,
3419,
198,
198,
2,
277,
11639,
14,
7890,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
258,
74,
62,
86,
66,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
13,
28457,
19242,
35067,
14,
9319,
62,
18053,
62,
8423,
14,
37687,
11347,
14,
17497,
30659,
3064,
13,
6649,
2530,
3064,
13,
27432,
13,
9319,
62,
1899,
62,
1065,
2682,
13,
8423,
62,
33279,
13,
87,
940,
13,
28663,
15,
13,
14116,
6,
198,
2,
277,
11639,
14,
7890,
14,
70,
506,
49940,
14,
16302,
14,
43358,
62,
320,
1996,
341,
14,
7890,
14,
258,
74,
62,
86,
66,
62,
85,
23593,
14,
18,
13,
43358,
14,
43358,
13,
66,
2167,
51,
17,
44,
15,
76,
15,
13,
448,
13,
28457,
19242,
35067,
14,
27432,
62,
87,
940,
62,
8524,
62,
79,
310,
1270,
62,
9806,
43,
1238,
14,
17497,
30659,
3064,
13,
6649,
2530,
3064,
13,
27432,
87,
940,
62,
25120,
33991,
15,
13,
18,
13,
14116,
6,
198,
2,
5485,
62,
8310,
363,
434,
62,
8423,
62,
3107,
1843,
62,
33279,
7,
448,
28,
69,
8
] | 2.351199 | 709 |
# -*- coding: utf-8 -*-
r"""
\
+-------------------+--------------------+
| |Screenshot1| | |Screenshot3| |
+-------------------+--------------------+
A program for calculating the mass of XAFS [X-Ray Absorption Fine Structure]
samples. The chemical formula parser understands parentheses and weight
percentage, also in nested form. XAFSmassQt reports the quantity (weight,
thickness or pressure) together with the expected height of the absorption
edge.
.. |Screenshot1| image:: _images/1powder_140.png
:scale: 66 %
.. |Screenshot3| image:: _images/3gas_140.png
:scale: 66 %
Dependencies
------------
numpy, pyparsing and matplotlib are required. Qt must be provided by either
PyQt4, PyQt5 or PySide.
Get XAFSmass
------------
XAFSmass is available as source distribution from
`PyPI <https://pypi.python.org/pypi/XAFSmass>`_ or
`Github <https://github.com/kklmn/XAFSmass>`__.
The distribution archive also includes documentation.
Installation
------------
Unzip the .zip file into a suitable directory and run ``python XAFSmassQt.py``.
On Windows, run ``pythonw XAFSmassQt.py`` or give it a .pyw extension to
suppress the console window.
You may want to run ``python setup.py install`` in order to put the XAFSmass
package to the standard location.
Citing XAFSmass
---------------
Please cite XAFSmass as:
`K. Klementiev and R. Chernikov, "XAFSmass: a program for calculating the
optimal mass of XAFS samples", J. Phys.: Conf. Ser. 712 (2016) 012008,
doi:10.1088/1742-6596/712/1/012008
<http://dx.doi.org/10.1088/1742-6596/712/1/012008>`_.
Theoretical references used
---------------------------
The tabulated scattering factors are taken from Henke et al. (10 eV < *E* < 30
keV) [Henke]_, Brennan & Cowan (30 eV < *E* < 509 keV) [BrCo]_ and Chantler
(11 eV < *E* < 405 keV) [Chantler]_.
.. note::
The tables of f'' factors consider only photoelectric
cross-sections. The tabulation by Chantler can optionally have
*total* absorption cross-sections. This option is enabled by selecting
the data table 'Chantler total (NIST)'.
.. [Henke] http://henke.lbl.gov/optical_constants/asf.html
B.L. Henke, E.M. Gullikson, and J.C. Davis, *X-ray interactions:
photoabsorption, scattering, transmission, and reflection at
E=50-30000 eV, Z=1-92*, Atomic Data and Nuclear Data Tables
**54** (no.2) (1993) 181-342.
.. [BrCo] http://www.bmsc.washington.edu/scatter/periodic-table.html
ftp://ftpa.aps.anl.gov/pub/cross-section_codes/
S. Brennan and P.L. Cowan, *A suite of programs for calculating
x-ray absorption, reflection and diffraction performance for a
variety of materials at arbitrary wavelengths*, Rev. Sci. Instrum.
**63** (1992) 850-853.
.. [Chantler] http://physics.nist.gov/PhysRefData/FFast/Text/cover.html
http://physics.nist.gov/PhysRefData/FFast/html/form.html
C. T. Chantler, *Theoretical Form Factor, Attenuation, and
Scattering Tabulation for Z = 1 - 92 from E = 1 - 10 eV to E = 0.4 -
1.0 MeV*, J. Phys. Chem. Ref. Data **24** (1995) 71-643.
Usage
-----
Chemical formula parser
~~~~~~~~~~~~~~~~~~~~~~~
The parser understands chemical elements, optionally followed by atomic
quantities or weight percentages. A group of atoms can be enclosed in
parentheses and assigned a common quantity or wt%. Some examples are given
above the edit line. For example, `Cu%1Zn%1((Al2O3)%10SiO2)` means 1 wt% of Cu
and 1 wt% of Zn in an aluminosilicate matrix composed of 10 wt% of alumina in
silica.
For the search of an unknown elemental concentration, give `x` to the element
of interest.
Calculation of mass and absorption step for powder samples
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. note::
You typically do not need the calculated values at exactly the edge
position but rather at an energy somewhere above it. The list of edges
offers the edge positions plus 50 eV. You are free to specify any energy
within the range of the selected tabulation.
A typical application is the calculation of the mass for a powder sample. The
optimal *optical* sample thickness μd depends on the absorption levels selected
for the ionization chambers (see below). Typically, μd is between 2 and 3 (e.g.
for a 17.4% absorption level for the 1st chamber and a 50% level for the 2nd
chamber, the optimal thickness is 2.42). However, if you get the absorption
step more that 1.5 (reported by the drop-down list "absorptance step = "), it
is recommended to reduce the sample mass to avoid the potential thickness
effect due to possible inhomogeneity in the wafer. If your sample is diluted
and you get a very low absorption step, do not try to make the wafer thicker
hoping that you will get better spectra -- you will not: the optimal thickness
gets *the best* signal-to-noise ratio (it is in this sense the optimal). You
can only try to measure your absorption spectra with another registration
technique: in fluorescence or electron yield modes.
.. image:: _images/SNtransm050.png
:scale: 50 %
.. image:: _images/SNtransm100.png
:scale: 50 %
Calculation of thickness and absorption step for samples with known density
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Here you can calculate the thickness of the sample with known density (usually,
a foil). Commercial foils are highly homogeneous in thickness, so that you may
ignore large step jumps and pay attention to the total μd only.
Calculation of gas pressure for ionization chambers
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. caution::
For nitrogen, do not forget the 2: N2, not just N!
Start with the 2nd ionization chamber (IC). If a reference foil is placed
between the 2nd and the 3rd IC, the fraction of x-rays absorbed by the 2nd IC
is usually set to 50%. If the reference foil is not needed, one can select the
total absorption (100%). For these two cases the optimal absorption of the 1st
IC at a certain μd is found from the figures above showing the levels of
signal-to-noise ratio.
For exploring mixtures of several gases, give the gases in parentheses, e.g.
as (Ar)(N2). The corresponding number of sliders will appear that define
partial pressures. The program will calculate the molar weight of each gas and
update the chemical formula and the total attenuation.
Calculation of an unknown elemental concentration
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Case 1: *You know the composition of the matrix*
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
You need an absorption spectrum taken without the sample (empty spectrum) but
with the same state of the ionization chambers. You then subtract it from the
spectrum of the sample, e.g. in VIPER, and get a real (i.e. not vertically
shifted) absorption coefficient. Determine the value of μd above the edge
(μTd), the edge jump (Δμd) and its uncertainty (δμd). Specify the chemical
formula with x.
Case 2: *You know the sample mass and area*
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Determine the edge jump (Δμd). For the pure element find such a value for μTd
that the absorption step in the pull-down list be equal to your experimental
Δμd. This will give you the mass of the element of interest. Just divide it by
the total mass to get the weight percentage.
Finding the scattering factors f''
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If you need to know the scattering factor f'' at different energies and/or its
jump at an edge (Δf''), XAFSmass provides a graphical tool for this.
For example, you may need these values to determine the composition of a binary
compound if you have the experimental edge heights at two edges. The absorption
step Δμd at an absorption edge of energy E is proportional to Δf''ν/E, where ν
is the amount of (resonantly) absorbing atoms in mole. Hence, the atomic ratio
of two elements in the same sample is
:math:`\nu_A/\nu_B = (\Delta\mu d)_A/(\Delta\mu d)_B\cdot[\Delta f_B''
/\Delta f_A'' \cdot E_A/E_B]`. For binary compounds
:math:`{\rm A}_x{\rm B}_{1-x}` the concentration :math:`x` is calculated then
as :math:`x = (\nu_A/\nu_B)/[1+(\nu_A/\nu_B)]`.
"""
__module__ = "XAFSmass"
__versioninfo__ = (1, 3, 9)
__version__ = '.'.join(map(str, __versioninfo__))
__author__ = \
"Konstantin Klementiev (MAX IV Laboratory), " +\
"Roman Chernikov (Canadian Light Source)"
__email__ = \
"[email protected], [email protected]"
__date__ = "09 Jul 2019"
__license__ = "MIT license"
| [
171,
119,
123,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
81,
37811,
198,
59,
198,
198,
10,
1783,
6329,
10,
19351,
10,
198,
91,
220,
220,
930,
34204,
16,
91,
220,
220,
930,
220,
220,
220,
930,
34204,
18,
91,
220,
220,
930,
198,
10,
1783,
6329,
10,
19351,
10,
198,
198,
32,
1430,
329,
26019,
262,
2347,
286,
1395,
8579,
50,
685,
55,
12,
19591,
13051,
273,
1159,
17867,
32522,
60,
198,
82,
12629,
13,
383,
5931,
10451,
30751,
14759,
46672,
290,
3463,
198,
25067,
496,
11,
635,
287,
28376,
1296,
13,
1395,
8579,
7556,
562,
48,
83,
3136,
262,
12040,
357,
6551,
11,
198,
400,
624,
1108,
393,
3833,
8,
1978,
351,
262,
2938,
6001,
286,
262,
24774,
198,
14907,
13,
198,
198,
492,
930,
34204,
16,
91,
2939,
3712,
4808,
17566,
14,
16,
45855,
62,
15187,
13,
11134,
198,
220,
220,
1058,
9888,
25,
7930,
4064,
198,
492,
930,
34204,
18,
91,
2939,
3712,
4808,
17566,
14,
18,
22649,
62,
15187,
13,
11134,
198,
220,
220,
1058,
9888,
25,
7930,
4064,
198,
198,
35,
2690,
3976,
198,
10541,
198,
198,
77,
32152,
11,
279,
4464,
945,
278,
290,
2603,
29487,
8019,
389,
2672,
13,
33734,
1276,
307,
2810,
416,
2035,
198,
20519,
48,
83,
19,
11,
9485,
48,
83,
20,
393,
9485,
24819,
13,
198,
198,
3855,
1395,
8579,
7556,
562,
198,
10541,
198,
198,
55,
8579,
7556,
562,
318,
1695,
355,
2723,
6082,
422,
198,
63,
20519,
11901,
1279,
5450,
1378,
79,
4464,
72,
13,
29412,
13,
2398,
14,
79,
4464,
72,
14,
55,
8579,
7556,
562,
29,
63,
62,
393,
198,
63,
38,
10060,
1279,
5450,
1378,
12567,
13,
785,
14,
28747,
75,
10295,
14,
55,
8579,
7556,
562,
29,
63,
834,
13,
198,
464,
6082,
15424,
635,
3407,
10314,
13,
198,
198,
30838,
198,
10541,
198,
198,
3118,
13344,
262,
764,
13344,
2393,
656,
257,
11080,
8619,
290,
1057,
7559,
29412,
1395,
8579,
7556,
562,
48,
83,
13,
9078,
15506,
13,
198,
2202,
3964,
11,
1057,
7559,
29412,
86,
1395,
8579,
7556,
562,
48,
83,
13,
9078,
15506,
393,
1577,
340,
257,
764,
9078,
86,
7552,
284,
198,
18608,
601,
262,
8624,
4324,
13,
198,
198,
1639,
743,
765,
284,
1057,
7559,
29412,
9058,
13,
9078,
2721,
15506,
287,
1502,
284,
1234,
262,
1395,
8579,
7556,
562,
198,
26495,
284,
262,
3210,
4067,
13,
198,
198,
34,
1780,
1395,
8579,
7556,
562,
198,
24305,
198,
198,
5492,
21729,
1395,
8579,
7556,
562,
355,
25,
198,
63,
42,
13,
509,
1732,
11203,
290,
371,
13,
37243,
1134,
709,
11,
366,
55,
8579,
7556,
562,
25,
257,
1430,
329,
26019,
262,
198,
8738,
4402,
2347,
286,
1395,
8579,
50,
8405,
1600,
449,
13,
8687,
11207,
7326,
13,
2930,
13,
767,
1065,
357,
5304,
8,
5534,
11528,
11,
198,
34023,
25,
940,
13,
940,
3459,
14,
1558,
3682,
12,
2996,
4846,
14,
49517,
14,
16,
14,
486,
11528,
198,
27,
4023,
1378,
34350,
13,
34023,
13,
2398,
14,
940,
13,
940,
3459,
14,
1558,
3682,
12,
2996,
4846,
14,
49517,
14,
16,
14,
486,
11528,
29,
63,
44807,
628,
198,
464,
9997,
605,
10288,
973,
198,
22369,
6329,
198,
198,
464,
7400,
4817,
45765,
5087,
389,
2077,
422,
6752,
365,
2123,
435,
13,
357,
940,
304,
53,
1279,
1635,
36,
9,
1279,
1542,
198,
365,
53,
8,
685,
26055,
365,
60,
62,
11,
26577,
1222,
10417,
272,
357,
1270,
304,
53,
1279,
1635,
36,
9,
1279,
2026,
24,
885,
53,
8,
685,
9414,
7222,
60,
62,
290,
609,
415,
1754,
198,
7,
1157,
304,
53,
1279,
1635,
36,
9,
1279,
36966,
885,
53,
8,
685,
1925,
415,
1754,
60,
44807,
628,
220,
220,
220,
11485,
3465,
3712,
198,
220,
220,
220,
220,
220,
220,
220,
383,
8893,
286,
277,
7061,
5087,
2074,
691,
4590,
31067,
198,
220,
220,
220,
220,
220,
220,
220,
3272,
12,
23946,
13,
383,
7400,
1741,
416,
609,
415,
1754,
460,
42976,
423,
198,
220,
220,
220,
220,
220,
220,
220,
1635,
23350,
9,
24774,
3272,
12,
23946,
13,
770,
3038,
318,
9343,
416,
17246,
198,
220,
220,
220,
220,
220,
220,
220,
262,
1366,
3084,
705,
1925,
415,
1754,
2472,
357,
45,
8808,
8,
4458,
198,
198,
492,
685,
26055,
365,
60,
2638,
1378,
831,
365,
13,
75,
2436,
13,
9567,
14,
8738,
605,
62,
9979,
1187,
14,
292,
69,
13,
6494,
198,
220,
220,
347,
13,
43,
13,
6752,
365,
11,
412,
13,
44,
13,
402,
724,
72,
46505,
11,
290,
449,
13,
34,
13,
7802,
11,
1635,
55,
12,
2433,
12213,
25,
198,
220,
220,
4590,
46303,
1159,
11,
45765,
11,
11478,
11,
290,
14580,
379,
198,
220,
220,
412,
28,
1120,
12,
18,
2388,
304,
53,
11,
1168,
28,
16,
12,
5892,
25666,
28976,
6060,
290,
19229,
6060,
33220,
198,
220,
220,
12429,
4051,
1174,
357,
3919,
13,
17,
8,
357,
24465,
8,
30110,
12,
31575,
13,
198,
198,
492,
685,
9414,
7222,
60,
2638,
1378,
2503,
13,
65,
907,
66,
13,
86,
2542,
13,
15532,
14,
1416,
1436,
14,
41007,
291,
12,
11487,
13,
6494,
198,
220,
220,
10117,
79,
1378,
701,
8957,
13,
1686,
13,
272,
75,
13,
9567,
14,
12984,
14,
19692,
12,
5458,
62,
40148,
14,
198,
220,
220,
311,
13,
26577,
290,
350,
13,
43,
13,
10417,
272,
11,
1635,
32,
18389,
286,
4056,
329,
26019,
198,
220,
220,
2124,
12,
2433,
24774,
11,
14580,
290,
814,
7861,
2854,
329,
257,
198,
220,
220,
4996,
286,
5696,
379,
14977,
45656,
25666,
5416,
13,
10286,
13,
2262,
6582,
13,
198,
220,
220,
12429,
5066,
1174,
357,
23847,
8,
30607,
12,
23,
4310,
13,
198,
198,
492,
685,
1925,
415,
1754,
60,
2638,
1378,
746,
23154,
13,
77,
396,
13,
9567,
14,
43215,
8134,
6601,
14,
5777,
459,
14,
8206,
14,
9631,
13,
6494,
198,
220,
220,
2638,
1378,
746,
23154,
13,
77,
396,
13,
9567,
14,
43215,
8134,
6601,
14,
5777,
459,
14,
6494,
14,
687,
13,
6494,
198,
220,
220,
327,
13,
309,
13,
609,
415,
1754,
11,
1635,
464,
9997,
605,
5178,
27929,
11,
3460,
268,
2288,
11,
290,
198,
220,
220,
1446,
16475,
16904,
1741,
329,
1168,
796,
352,
532,
10190,
422,
412,
796,
352,
532,
838,
304,
53,
284,
412,
796,
657,
13,
19,
532,
198,
220,
220,
352,
13,
15,
2185,
53,
25666,
449,
13,
8687,
13,
12870,
13,
6524,
13,
6060,
12429,
1731,
1174,
357,
21908,
8,
9166,
12,
41813,
13,
628,
198,
28350,
198,
30934,
198,
198,
41829,
605,
10451,
30751,
198,
27156,
8728,
4907,
93,
198,
198,
464,
30751,
14759,
5931,
4847,
11,
42976,
3940,
416,
17226,
198,
40972,
871,
393,
3463,
28071,
13,
317,
1448,
286,
23235,
460,
307,
28543,
287,
198,
8000,
39815,
290,
8686,
257,
2219,
12040,
393,
266,
83,
7225,
2773,
6096,
389,
1813,
198,
29370,
262,
4370,
1627,
13,
1114,
1672,
11,
4600,
46141,
4,
16,
57,
77,
4,
16,
19510,
2348,
17,
46,
18,
8,
4,
940,
42801,
46,
17,
8,
63,
1724,
352,
266,
83,
4,
286,
14496,
198,
392,
352,
266,
83,
4,
286,
1168,
77,
287,
281,
435,
7230,
418,
346,
5344,
17593,
13160,
286,
838,
266,
83,
4,
286,
46518,
1437,
287,
198,
18217,
3970,
13,
198,
198,
1890,
262,
2989,
286,
281,
6439,
25601,
10368,
11,
1577,
4600,
87,
63,
284,
262,
5002,
198,
1659,
1393,
13,
198,
198,
9771,
14902,
286,
2347,
290,
24774,
2239,
329,
11913,
8405,
198,
27156,
27156,
27156,
15116,
4907,
198,
198,
492,
3465,
3712,
628,
220,
220,
220,
921,
6032,
466,
407,
761,
262,
10488,
3815,
379,
3446,
262,
5743,
198,
220,
220,
220,
2292,
475,
2138,
379,
281,
2568,
7382,
2029,
340,
13,
383,
1351,
286,
13015,
198,
220,
220,
220,
4394,
262,
5743,
6116,
5556,
2026,
304,
53,
13,
921,
389,
1479,
284,
11986,
597,
2568,
198,
220,
220,
220,
1626,
262,
2837,
286,
262,
6163,
7400,
1741,
13,
198,
198,
32,
7226,
3586,
318,
262,
17952,
286,
262,
2347,
329,
257,
11913,
6291,
13,
383,
198,
8738,
4402,
1635,
8738,
605,
9,
6291,
20735,
18919,
67,
8338,
319,
262,
24774,
2974,
6163,
198,
1640,
262,
22088,
1634,
23204,
357,
3826,
2174,
737,
27095,
11,
18919,
67,
318,
1022,
362,
290,
513,
357,
68,
13,
70,
13,
198,
1640,
257,
1596,
13,
19,
4,
24774,
1241,
329,
262,
352,
301,
11847,
290,
257,
2026,
4,
1241,
329,
262,
362,
358,
198,
354,
7789,
11,
262,
16586,
20735,
318,
362,
13,
3682,
737,
2102,
11,
611,
345,
651,
262,
24774,
198,
9662,
517,
326,
352,
13,
20,
357,
26263,
416,
262,
4268,
12,
2902,
1351,
366,
46303,
457,
590,
2239,
796,
366,
828,
340,
198,
271,
7151,
284,
4646,
262,
6291,
2347,
284,
3368,
262,
2785,
20735,
198,
10760,
2233,
284,
1744,
25783,
296,
37477,
287,
262,
266,
34659,
13,
1002,
534,
6291,
318,
37936,
198,
392,
345,
651,
257,
845,
1877,
24774,
2239,
11,
466,
407,
1949,
284,
787,
262,
266,
34659,
29175,
198,
8548,
278,
326,
345,
481,
651,
1365,
5444,
430,
1377,
345,
481,
407,
25,
262,
16586,
20735,
198,
11407,
1635,
1169,
1266,
9,
6737,
12,
1462,
12,
3919,
786,
8064,
357,
270,
318,
287,
428,
2565,
262,
16586,
737,
921,
198,
5171,
691,
1949,
284,
3953,
534,
24774,
5444,
430,
351,
1194,
9352,
198,
23873,
2350,
25,
287,
6562,
48699,
393,
11538,
7800,
12881,
13,
198,
198,
492,
2939,
3712,
4808,
17566,
14,
15571,
7645,
76,
28669,
13,
11134,
198,
220,
220,
1058,
9888,
25,
2026,
4064,
198,
198,
492,
2939,
3712,
4808,
17566,
14,
15571,
7645,
76,
3064,
13,
11134,
198,
220,
220,
1058,
9888,
25,
2026,
4064,
198,
198,
9771,
14902,
286,
20735,
290,
24774,
2239,
329,
8405,
351,
1900,
12109,
198,
27156,
27156,
27156,
27156,
15116,
4907,
93,
198,
198,
4342,
345,
460,
15284,
262,
20735,
286,
262,
6291,
351,
1900,
12109,
357,
23073,
11,
198,
64,
25501,
737,
22724,
11511,
4487,
389,
4047,
3488,
32269,
287,
20735,
11,
523,
326,
345,
743,
198,
46430,
1588,
2239,
18045,
290,
1414,
3241,
284,
262,
2472,
18919,
67,
691,
13,
198,
198,
9771,
14902,
286,
3623,
3833,
329,
22088,
1634,
23204,
198,
27156,
27156,
27156,
4907,
93,
198,
198,
492,
13041,
3712,
628,
220,
220,
220,
1114,
23417,
11,
466,
407,
6044,
262,
362,
25,
399,
17,
11,
407,
655,
399,
0,
198,
198,
10434,
351,
262,
362,
358,
22088,
1634,
11847,
357,
2149,
737,
1002,
257,
4941,
25501,
318,
4624,
198,
23395,
262,
362,
358,
290,
262,
513,
4372,
12460,
11,
262,
13390,
286,
2124,
12,
20477,
19233,
416,
262,
362,
358,
12460,
198,
271,
3221,
900,
284,
2026,
7225,
1002,
262,
4941,
25501,
318,
407,
2622,
11,
530,
460,
2922,
262,
198,
23350,
24774,
357,
3064,
18823,
1114,
777,
734,
2663,
262,
16586,
24774,
286,
262,
352,
301,
198,
2149,
379,
257,
1728,
18919,
67,
318,
1043,
422,
262,
5538,
2029,
4478,
262,
2974,
286,
198,
12683,
282,
12,
1462,
12,
3919,
786,
8064,
13,
198,
198,
1890,
13504,
285,
25506,
286,
1811,
21678,
11,
1577,
262,
21678,
287,
46672,
11,
304,
13,
70,
13,
198,
292,
357,
3163,
5769,
45,
17,
737,
383,
11188,
1271,
286,
1017,
4157,
481,
1656,
326,
8160,
198,
47172,
18895,
13,
383,
1430,
481,
15284,
262,
285,
6192,
3463,
286,
1123,
3623,
290,
198,
19119,
262,
5931,
10451,
290,
262,
2472,
31919,
2288,
13,
198,
198,
9771,
14902,
286,
281,
6439,
25601,
10368,
198,
27156,
27156,
27156,
93,
198,
198,
20448,
352,
25,
1635,
1639,
760,
262,
11742,
286,
262,
17593,
9,
198,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
198,
198,
1639,
761,
281,
24774,
10958,
2077,
1231,
262,
6291,
357,
28920,
10958,
8,
475,
198,
4480,
262,
976,
1181,
286,
262,
22088,
1634,
23204,
13,
921,
788,
34128,
340,
422,
262,
198,
4443,
6582,
286,
262,
6291,
11,
304,
13,
70,
13,
287,
24791,
1137,
11,
290,
651,
257,
1103,
357,
72,
13,
68,
13,
407,
31677,
198,
1477,
21715,
8,
24774,
35381,
13,
45559,
3810,
262,
1988,
286,
18919,
67,
2029,
262,
5743,
198,
7,
34703,
51,
67,
828,
262,
5743,
4391,
357,
138,
242,
34703,
67,
8,
290,
663,
13479,
357,
138,
112,
34703,
67,
737,
18291,
1958,
262,
5931,
198,
687,
4712,
351,
2124,
13,
198,
198,
20448,
362,
25,
1635,
1639,
760,
262,
6291,
2347,
290,
1989,
9,
198,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
39397,
18237,
61,
198,
198,
35,
2357,
3810,
262,
5743,
4391,
357,
138,
242,
34703,
67,
737,
1114,
262,
5899,
5002,
1064,
884,
257,
1988,
329,
18919,
51,
67,
198,
5562,
262,
24774,
2239,
287,
262,
2834,
12,
2902,
1351,
307,
4961,
284,
534,
11992,
198,
138,
242,
34703,
67,
13,
770,
481,
1577,
345,
262,
2347,
286,
262,
5002,
286,
1393,
13,
2329,
14083,
340,
416,
198,
1169,
2472,
2347,
284,
651,
262,
3463,
5873,
13,
198,
198,
36276,
262,
45765,
5087,
277,
7061,
198,
27156,
27156,
4907,
198,
198,
1532,
345,
761,
284,
760,
262,
45765,
5766,
277,
7061,
379,
1180,
27598,
290,
14,
273,
663,
198,
43327,
379,
281,
5743,
357,
138,
242,
69,
7061,
828,
1395,
8579,
7556,
562,
3769,
257,
27831,
2891,
329,
428,
13,
198,
198,
1890,
1672,
11,
345,
743,
761,
777,
3815,
284,
5004,
262,
11742,
286,
257,
13934,
198,
5589,
633,
611,
345,
423,
262,
11992,
5743,
23245,
379,
734,
13015,
13,
383,
24774,
198,
9662,
37455,
34703,
67,
379,
281,
24774,
5743,
286,
2568,
412,
318,
27111,
284,
37455,
69,
7061,
26180,
14,
36,
11,
810,
7377,
121,
198,
271,
262,
2033,
286,
357,
411,
261,
3875,
8,
34418,
23235,
287,
9411,
13,
16227,
11,
262,
17226,
8064,
198,
1659,
734,
4847,
287,
262,
976,
6291,
318,
198,
25,
11018,
25,
63,
59,
28803,
62,
32,
14,
59,
28803,
62,
33,
796,
357,
59,
42430,
59,
30300,
288,
8,
62,
32,
29006,
59,
42430,
59,
30300,
288,
8,
62,
33,
59,
10210,
313,
58,
59,
42430,
277,
62,
33,
7061,
198,
14,
59,
42430,
277,
62,
32,
7061,
3467,
10210,
313,
412,
62,
32,
14,
36,
62,
33,
60,
44646,
1114,
13934,
16439,
198,
25,
11018,
25,
63,
31478,
26224,
317,
92,
62,
87,
31478,
26224,
347,
92,
23330,
16,
12,
87,
92,
63,
262,
10368,
1058,
11018,
25,
63,
87,
63,
318,
10488,
788,
198,
292,
1058,
11018,
25,
63,
87,
796,
357,
59,
28803,
62,
32,
14,
59,
28803,
62,
33,
20679,
58,
16,
33747,
59,
28803,
62,
32,
14,
59,
28803,
62,
33,
15437,
44646,
198,
198,
37811,
198,
834,
21412,
834,
796,
366,
55,
8579,
7556,
562,
1,
198,
834,
9641,
10951,
834,
796,
357,
16,
11,
513,
11,
860,
8,
198,
834,
9641,
834,
796,
705,
2637,
13,
22179,
7,
8899,
7,
2536,
11,
11593,
9641,
10951,
834,
4008,
198,
834,
9800,
834,
796,
3467,
198,
220,
220,
220,
366,
42,
261,
18797,
259,
509,
1732,
11203,
357,
22921,
8363,
18643,
828,
366,
1343,
59,
198,
220,
220,
220,
366,
32454,
37243,
1134,
709,
357,
28203,
4401,
8090,
16725,
198,
834,
12888,
834,
796,
3467,
198,
220,
220,
220,
366,
74,
261,
18797,
259,
13,
74,
1732,
11203,
31,
14816,
13,
785,
11,
374,
2044,
45451,
31,
14816,
13,
785,
1,
198,
834,
4475,
834,
796,
366,
2931,
5979,
13130,
1,
198,
834,
43085,
834,
796,
366,
36393,
5964,
1,
198
] | 3.338589 | 2,537 |
#!/usr/bin/env python3
from __future__ import division
import argparse
import collections
import glob
import shelve
import os.path
import numpy as np
import matplotlib.pyplot as plt
import plot_helpers
import weibull_workload
axes = 'shape sigma load timeshape njobs'.split()
parser = argparse.ArgumentParser(description="plot CDF of slowdown")
parser.add_argument('dirname', help="directory in which results are stored")
parser.add_argument('--shape', type=float, default=0.25,
help="shape for job size distribution; default: 0.25")
parser.add_argument('--sigma', type=float, default=0.5,
help="sigma for size estimation error log-normal "
"distribution; default: 0.5")
parser.add_argument('--load', type=float, default=0.9,
help="load for the generated workload; default: 0.9")
parser.add_argument('--timeshape', type=float, default=1,
help="shape for the Weibull distribution of job "
"inter-arrival times; default: 1 (i.e. exponential)")
parser.add_argument('--njobs', type=int, default=10000,
help="number of jobs in the workload; default: 10000")
parser.add_argument('--nolatex', default=False, action='store_true',
help="disable LaTeX rendering")
parser.add_argument('--xmin', type=float, default=1,
help="minimum value on the x axis")
parser.add_argument('--xmax', type=float,
help="maximum value on the x axis")
parser.add_argument('--ymin', type=float, default=0,
help="minimum value on the y axis")
parser.add_argument('--ymax', type=float, default=1,
help="maximum value on the y axis")
parser.add_argument('--nolegend', default=False, action='store_true',
help="don't put a legend in the plot")
parser.add_argument('--legend_loc', default=0,
help="location for the legend (see matplotlib doc)")
parser.add_argument('--normal_error', default=False, action='store_true',
help="error function distributed according to a normal "
"rather than a log-normal")
parser.add_argument('--alt_schedulers', default=False, action='store_true',
help="plot schedulers that are variants of FSPE+PS")
parser.add_argument('--save', help="don't show but save in target filename")
args = parser.parse_args()
if args.alt_schedulers:
plotted = 'FSPE+PS FSPE+LAS SRPTE+PS SRPTE+LAS PS'.split()
styles = {'FSPE+PS': '-', 'FSPE+LAS': '--',
'SRPTE+PS': ':', 'SRPTE+LAS': '-.',
'PS': '-'}
colors = {'FSPE+PS': 'r', 'FSPE+LAS': 'r',
'SRPTE+PS': 'r', 'SRPTE+LAS': 'r',
'PS': '0.6'}
else:
plotted = 'SRPTE FSPE FSPE+PS PS LAS FIFO'.split()
styles = {'FIFO': ':', 'PS': '-', 'LAS': '--',
'SRPTE': '--', 'FSPE': ':', 'FSPE+PS': '-'}
colors = {'FIFO': '0.6', 'PS': '0.6', 'LAS': '0.6',
'SRPTE': 'r', 'FSPE': 'r', 'FSPE+PS': 'r'}
fname_regex = [str(getattr(args, ax)) for ax in axes]
head = 'normal' if args.normal_error else 'res'
glob_str = os.path.join(args.dirname,
'{}_{}_[0-9.]*.s'.format(head, '_'.join(fname_regex)))
fnames = glob.glob(glob_str)
results = collections.defaultdict(list)
for fname in fnames:
print('.', end='', flush=True)
seed = int(os.path.splitext(fname)[0].split('_')[-1])
job_sizes = sizes(seed)
try:
shelve_ = shelve.open(fname, 'r')
except:
# the file is being written now
continue
else:
for scheduler in plotted:
for sojourns in shelve_[scheduler]:
slowdowns = (sojourn / size
for sojourn, size in zip(sojourns, job_sizes))
results[scheduler].extend(slowdowns)
print()
fig = plt.figure(figsize=(8, 4.5))
ax = fig.add_subplot(111)
ax.set_xlabel("slowdown")
ax.set_ylabel("ECDF")
ys = np.linspace(max(0, args.ymin), min(1, args.ymax), 100)
for scheduler in plotted:
slowdowns = results[scheduler]
slowdowns.sort()
last_idx = len(slowdowns) - 1
indexes = np.linspace(max(0, args.ymin) * last_idx,
min(1, args.ymax) * last_idx,
100).astype(int)
xs = [slowdowns[idx] for idx in indexes]
style = styles[scheduler]
label = 'PSBS' if scheduler == 'FSPE+PS' else scheduler
ax.semilogx(xs, ys, style, label=label, linewidth=4,
color=colors[scheduler])
if not args.nolegend:
ax.legend(loc=args.legend_loc, ncol=2)
ax.tick_params(axis='x', pad=7)
ax.set_xlim(left=args.xmin)
if args.xmax is not None:
ax.set_xlim(right=args.xmax)
ax.set_ylim(args.ymin, args.ymax)
if not args.nolatex:
plot_helpers.config_paper(20)
plt.tight_layout(1)
plt.grid()
if args.save is not None:
plt.savefig(args.save)
else:
plt.show()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
198,
11748,
1822,
29572,
198,
11748,
17268,
198,
11748,
15095,
198,
11748,
7497,
303,
198,
11748,
28686,
13,
6978,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
11748,
7110,
62,
16794,
364,
198,
11748,
356,
571,
724,
62,
1818,
2220,
198,
198,
897,
274,
796,
705,
43358,
264,
13495,
3440,
1661,
71,
1758,
299,
43863,
4458,
35312,
3419,
198,
198,
48610,
796,
1822,
29572,
13,
28100,
1713,
46677,
7,
11213,
2625,
29487,
6458,
37,
286,
35621,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
15908,
3672,
3256,
1037,
2625,
34945,
287,
543,
2482,
389,
8574,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
43358,
3256,
2099,
28,
22468,
11,
4277,
28,
15,
13,
1495,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
43358,
329,
1693,
2546,
6082,
26,
4277,
25,
657,
13,
1495,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
82,
13495,
3256,
2099,
28,
22468,
11,
4277,
28,
15,
13,
20,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
82,
13495,
329,
2546,
31850,
4049,
2604,
12,
11265,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
17080,
3890,
26,
4277,
25,
657,
13,
20,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
2220,
3256,
2099,
28,
22468,
11,
4277,
28,
15,
13,
24,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
2220,
329,
262,
7560,
26211,
26,
4277,
25,
657,
13,
24,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
22355,
71,
1758,
3256,
2099,
28,
22468,
11,
4277,
28,
16,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
43358,
329,
262,
775,
571,
724,
6082,
286,
1693,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3849,
12,
283,
43171,
1661,
26,
4277,
25,
352,
357,
72,
13,
68,
13,
39682,
8,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
77,
43863,
3256,
2099,
28,
600,
11,
4277,
28,
49388,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
17618,
286,
3946,
287,
262,
26211,
26,
4277,
25,
33028,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
77,
27976,
87,
3256,
4277,
28,
25101,
11,
2223,
11639,
8095,
62,
7942,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
40223,
4689,
49568,
14837,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
87,
1084,
3256,
2099,
28,
22468,
11,
4277,
28,
16,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
39504,
1988,
319,
262,
2124,
16488,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
87,
9806,
3256,
2099,
28,
22468,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
47033,
1988,
319,
262,
2124,
16488,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
88,
1084,
3256,
2099,
28,
22468,
11,
4277,
28,
15,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
39504,
1988,
319,
262,
331,
16488,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
4948,
897,
3256,
2099,
28,
22468,
11,
4277,
28,
16,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
47033,
1988,
319,
262,
331,
16488,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
3919,
1455,
437,
3256,
4277,
28,
25101,
11,
2223,
11639,
8095,
62,
7942,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
9099,
470,
1234,
257,
8177,
287,
262,
7110,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
1455,
437,
62,
17946,
3256,
4277,
28,
15,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
24886,
329,
262,
8177,
357,
3826,
2603,
29487,
8019,
2205,
8,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
11265,
62,
18224,
3256,
4277,
28,
25101,
11,
2223,
11639,
8095,
62,
7942,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
18224,
2163,
9387,
1864,
284,
257,
3487,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
34330,
621,
257,
2604,
12,
11265,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
2501,
62,
1416,
704,
377,
364,
3256,
4277,
28,
25101,
11,
2223,
11639,
8095,
62,
7942,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1037,
2625,
29487,
6038,
377,
364,
326,
389,
17670,
286,
376,
4303,
36,
10,
3705,
4943,
198,
48610,
13,
2860,
62,
49140,
10786,
438,
21928,
3256,
1037,
2625,
9099,
470,
905,
475,
3613,
287,
2496,
29472,
4943,
198,
22046,
796,
30751,
13,
29572,
62,
22046,
3419,
198,
198,
361,
26498,
13,
2501,
62,
1416,
704,
377,
364,
25,
198,
220,
220,
220,
37515,
796,
705,
37,
4303,
36,
10,
3705,
376,
4303,
36,
10,
43,
1921,
16808,
47,
9328,
10,
3705,
16808,
47,
9328,
10,
43,
1921,
6599,
4458,
35312,
3419,
198,
220,
220,
220,
12186,
796,
1391,
6,
37,
4303,
36,
10,
3705,
10354,
705,
12,
3256,
705,
37,
4303,
36,
10,
43,
1921,
10354,
705,
438,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
12562,
47,
9328,
10,
3705,
10354,
705,
25,
3256,
705,
12562,
47,
9328,
10,
43,
1921,
10354,
705,
12,
2637,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
3705,
10354,
705,
19355,
92,
198,
220,
220,
220,
7577,
796,
1391,
6,
37,
4303,
36,
10,
3705,
10354,
705,
81,
3256,
705,
37,
4303,
36,
10,
43,
1921,
10354,
705,
81,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
12562,
47,
9328,
10,
3705,
10354,
705,
81,
3256,
705,
12562,
47,
9328,
10,
43,
1921,
10354,
705,
81,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
3705,
10354,
705,
15,
13,
21,
6,
92,
198,
17772,
25,
198,
220,
220,
220,
37515,
796,
705,
12562,
47,
9328,
376,
4303,
36,
376,
4303,
36,
10,
3705,
6599,
406,
1921,
376,
5064,
46,
4458,
35312,
3419,
198,
220,
220,
220,
12186,
796,
1391,
6,
37,
5064,
46,
10354,
705,
25,
3256,
705,
3705,
10354,
705,
12,
3256,
705,
43,
1921,
10354,
705,
438,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
12562,
47,
9328,
10354,
705,
438,
3256,
705,
37,
4303,
36,
10354,
705,
25,
3256,
705,
37,
4303,
36,
10,
3705,
10354,
705,
19355,
92,
198,
220,
220,
220,
7577,
796,
1391,
6,
37,
5064,
46,
10354,
705,
15,
13,
21,
3256,
705,
3705,
10354,
705,
15,
13,
21,
3256,
705,
43,
1921,
10354,
705,
15,
13,
21,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
12562,
47,
9328,
10354,
705,
81,
3256,
705,
37,
4303,
36,
10354,
705,
81,
3256,
705,
37,
4303,
36,
10,
3705,
10354,
705,
81,
6,
92,
220,
220,
220,
220,
220,
220,
220,
220,
628,
198,
198,
69,
3672,
62,
260,
25636,
796,
685,
2536,
7,
1136,
35226,
7,
22046,
11,
7877,
4008,
329,
7877,
287,
34197,
60,
198,
2256,
796,
705,
11265,
6,
611,
26498,
13,
11265,
62,
18224,
2073,
705,
411,
6,
198,
4743,
672,
62,
2536,
796,
28686,
13,
6978,
13,
22179,
7,
22046,
13,
15908,
3672,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
90,
92,
23330,
92,
62,
58,
15,
12,
24,
8183,
24620,
82,
4458,
18982,
7,
2256,
11,
705,
62,
4458,
22179,
7,
69,
3672,
62,
260,
25636,
22305,
198,
69,
14933,
796,
15095,
13,
4743,
672,
7,
4743,
672,
62,
2536,
8,
198,
198,
43420,
796,
17268,
13,
12286,
11600,
7,
4868,
8,
198,
1640,
277,
3672,
287,
277,
14933,
25,
198,
220,
220,
220,
3601,
10786,
2637,
11,
886,
11639,
3256,
24773,
28,
17821,
8,
198,
220,
220,
220,
9403,
796,
493,
7,
418,
13,
6978,
13,
22018,
578,
742,
7,
69,
3672,
38381,
15,
4083,
35312,
10786,
62,
11537,
58,
12,
16,
12962,
198,
220,
220,
220,
1693,
62,
82,
4340,
796,
10620,
7,
28826,
8,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
7497,
303,
62,
796,
7497,
303,
13,
9654,
7,
69,
3672,
11,
705,
81,
11537,
198,
220,
220,
220,
2845,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
262,
2393,
318,
852,
3194,
783,
198,
220,
220,
220,
220,
220,
220,
220,
2555,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
329,
6038,
18173,
287,
37515,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
523,
73,
1798,
82,
287,
7497,
303,
62,
58,
1416,
704,
18173,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3105,
30371,
796,
357,
568,
73,
1798,
1220,
2546,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
523,
73,
1798,
11,
2546,
287,
19974,
7,
568,
73,
1798,
82,
11,
1693,
62,
82,
4340,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2482,
58,
1416,
704,
18173,
4083,
2302,
437,
7,
38246,
30371,
8,
198,
198,
4798,
3419,
198,
198,
5647,
796,
458,
83,
13,
26875,
7,
5647,
7857,
16193,
23,
11,
604,
13,
20,
4008,
198,
897,
796,
2336,
13,
2860,
62,
7266,
29487,
7,
16243,
8,
198,
897,
13,
2617,
62,
87,
18242,
7203,
38246,
2902,
4943,
198,
897,
13,
2617,
62,
2645,
9608,
7203,
2943,
8068,
4943,
198,
893,
796,
45941,
13,
21602,
10223,
7,
9806,
7,
15,
11,
26498,
13,
88,
1084,
828,
949,
7,
16,
11,
26498,
13,
4948,
897,
828,
1802,
8,
198,
1640,
6038,
18173,
287,
37515,
25,
198,
220,
220,
220,
3105,
30371,
796,
2482,
58,
1416,
704,
18173,
60,
198,
220,
220,
220,
3105,
30371,
13,
30619,
3419,
198,
220,
220,
220,
938,
62,
312,
87,
796,
18896,
7,
38246,
30371,
8,
532,
352,
198,
220,
220,
220,
39199,
796,
45941,
13,
21602,
10223,
7,
9806,
7,
15,
11,
26498,
13,
88,
1084,
8,
1635,
938,
62,
312,
87,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
949,
7,
16,
11,
26498,
13,
4948,
897,
8,
1635,
938,
62,
312,
87,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1802,
737,
459,
2981,
7,
600,
8,
198,
220,
220,
220,
2124,
82,
796,
685,
38246,
30371,
58,
312,
87,
60,
329,
4686,
87,
287,
39199,
60,
198,
220,
220,
220,
3918,
796,
12186,
58,
1416,
704,
18173,
60,
198,
220,
220,
220,
6167,
796,
705,
3705,
4462,
6,
611,
6038,
18173,
6624,
705,
37,
4303,
36,
10,
3705,
6,
2073,
6038,
18173,
198,
220,
220,
220,
7877,
13,
325,
25433,
519,
87,
7,
34223,
11,
331,
82,
11,
3918,
11,
6167,
28,
18242,
11,
9493,
413,
5649,
28,
19,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3124,
28,
4033,
669,
58,
1416,
704,
18173,
12962,
198,
198,
361,
407,
26498,
13,
3919,
1455,
437,
25,
198,
220,
220,
220,
7877,
13,
1455,
437,
7,
17946,
28,
22046,
13,
1455,
437,
62,
17946,
11,
299,
4033,
28,
17,
8,
198,
220,
220,
220,
220,
198,
897,
13,
42298,
62,
37266,
7,
22704,
11639,
87,
3256,
14841,
28,
22,
8,
198,
198,
897,
13,
2617,
62,
87,
2475,
7,
9464,
28,
22046,
13,
87,
1084,
8,
198,
361,
26498,
13,
87,
9806,
318,
407,
6045,
25,
198,
220,
220,
220,
7877,
13,
2617,
62,
87,
2475,
7,
3506,
28,
22046,
13,
87,
9806,
8,
198,
897,
13,
2617,
62,
88,
2475,
7,
22046,
13,
88,
1084,
11,
26498,
13,
4948,
897,
8,
198,
198,
361,
407,
26498,
13,
77,
27976,
87,
25,
198,
220,
220,
220,
7110,
62,
16794,
364,
13,
11250,
62,
20189,
7,
1238,
8,
198,
198,
489,
83,
13,
33464,
62,
39786,
7,
16,
8,
198,
489,
83,
13,
25928,
3419,
198,
198,
361,
26498,
13,
21928,
318,
407,
6045,
25,
198,
220,
220,
220,
458,
83,
13,
21928,
5647,
7,
22046,
13,
21928,
8,
198,
17772,
25,
198,
220,
220,
220,
458,
83,
13,
12860,
3419,
198
] | 2.151778 | 2,306 |
import os
import os.path
import shutil
import tempfile
has_symlink = False
compat_test_dir = tempfile.mkdtemp()
# Check for symlink support (available and usable)
src = os.path.join(compat_test_dir, "src")
dst = os.path.join(compat_test_dir, "dst")
with open(src, "w"):
pass
try:
os.symlink(src, dst)
except (AttributeError, OSError):
# AttributeError if symlink is not available (Python <= 3.2 on Windows)
# OSError if we don't have the symlink privilege (on Windows)
pass # Leave has_symlink false
else:
has_symlink = True
shutil.rmtree(compat_test_dir)
| [
11748,
28686,
198,
11748,
28686,
13,
6978,
198,
11748,
4423,
346,
198,
11748,
20218,
7753,
628,
198,
10134,
62,
1837,
4029,
676,
796,
10352,
628,
198,
5589,
265,
62,
9288,
62,
15908,
796,
20218,
7753,
13,
28015,
67,
29510,
3419,
198,
198,
2,
6822,
329,
827,
4029,
676,
1104,
357,
15182,
290,
24284,
8,
198,
198,
10677,
796,
28686,
13,
6978,
13,
22179,
7,
5589,
265,
62,
9288,
62,
15908,
11,
366,
10677,
4943,
198,
67,
301,
796,
28686,
13,
6978,
13,
22179,
7,
5589,
265,
62,
9288,
62,
15908,
11,
366,
67,
301,
4943,
198,
198,
4480,
1280,
7,
10677,
11,
366,
86,
1,
2599,
198,
220,
220,
220,
1208,
198,
198,
28311,
25,
198,
220,
220,
220,
28686,
13,
1837,
4029,
676,
7,
10677,
11,
29636,
8,
198,
16341,
357,
33682,
12331,
11,
440,
5188,
81,
1472,
2599,
198,
220,
220,
220,
1303,
3460,
4163,
12331,
611,
827,
4029,
676,
318,
407,
1695,
357,
37906,
19841,
513,
13,
17,
319,
3964,
8,
198,
220,
220,
220,
1303,
440,
5188,
81,
1472,
611,
356,
836,
470,
423,
262,
827,
4029,
676,
11941,
357,
261,
3964,
8,
198,
220,
220,
220,
1208,
220,
1303,
17446,
468,
62,
1837,
4029,
676,
3991,
198,
17772,
25,
198,
220,
220,
220,
468,
62,
1837,
4029,
676,
796,
6407,
628,
198,
1477,
22602,
13,
81,
16762,
631,
7,
5589,
265,
62,
9288,
62,
15908,
8,
198
] | 2.547414 | 232 |
import pytest
from django.shortcuts import reverse
from questionbank.users.constants import ADMIN
pytestmark = pytest.mark.django_db
def test_user_role(user, admin_user):
"""
calling user.role method should return the user group which they are in.
if the user is not in any group, NotImplementedError is raised
"""
assert admin_user.role == ADMIN
with pytest.raises(NotImplementedError):
assert user.role
| [
11748,
12972,
9288,
198,
6738,
42625,
14208,
13,
19509,
23779,
1330,
9575,
198,
198,
6738,
1808,
17796,
13,
18417,
13,
9979,
1187,
1330,
5984,
23678,
198,
198,
9078,
9288,
4102,
796,
12972,
9288,
13,
4102,
13,
28241,
14208,
62,
9945,
628,
198,
198,
4299,
1332,
62,
7220,
62,
18090,
7,
7220,
11,
13169,
62,
7220,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
4585,
2836,
13,
18090,
2446,
815,
1441,
262,
2836,
1448,
543,
484,
389,
287,
13,
198,
220,
220,
220,
611,
262,
2836,
318,
407,
287,
597,
1448,
11,
1892,
3546,
1154,
12061,
12331,
318,
4376,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
6818,
13169,
62,
7220,
13,
18090,
6624,
5984,
23678,
628,
220,
220,
220,
351,
12972,
9288,
13,
430,
2696,
7,
3673,
3546,
1154,
12061,
12331,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
6818,
2836,
13,
18090,
628,
198
] | 2.986577 | 149 |
s = input()
length = len(s)
word_len = int(length / 3)
t = ""
if s[0:word_len] == s[word_len:word_len*2]:
t = s[0:word_len]
elif s[word_len:word_len*2] == s[word_len*2:word_len*3]:
t = s[word_len:word_len*2]
else:
t = s[0:word_len]
print(t) | [
82,
796,
5128,
3419,
198,
198,
13664,
796,
18896,
7,
82,
8,
198,
4775,
62,
11925,
796,
493,
7,
13664,
1220,
513,
8,
198,
198,
83,
796,
13538,
198,
198,
361,
264,
58,
15,
25,
4775,
62,
11925,
60,
6624,
264,
58,
4775,
62,
11925,
25,
4775,
62,
11925,
9,
17,
5974,
198,
220,
220,
220,
256,
796,
264,
58,
15,
25,
4775,
62,
11925,
60,
198,
417,
361,
264,
58,
4775,
62,
11925,
25,
4775,
62,
11925,
9,
17,
60,
6624,
264,
58,
4775,
62,
11925,
9,
17,
25,
4775,
62,
11925,
9,
18,
5974,
198,
220,
220,
220,
256,
796,
264,
58,
4775,
62,
11925,
25,
4775,
62,
11925,
9,
17,
60,
198,
17772,
25,
198,
220,
220,
220,
256,
796,
264,
58,
15,
25,
4775,
62,
11925,
60,
198,
198,
4798,
7,
83,
8
] | 1.868613 | 137 |
"""MCP45XX and MCP46XX commands."""
WRITE = 0x00 << 2
"""Writes to the device."""
INCREASE = 0x01 << 2
"""Increase the resistance."""
DECREASE = 0x02 << 2
"""Decrease the resistance."""
READ = 0x03 << 2
"""Read the current value."""
| [
37811,
44,
8697,
2231,
8051,
290,
337,
8697,
3510,
8051,
9729,
526,
15931,
628,
198,
18564,
12709,
796,
657,
87,
405,
9959,
362,
198,
37811,
20257,
274,
284,
262,
3335,
526,
15931,
198,
198,
30158,
2200,
11159,
796,
657,
87,
486,
9959,
362,
198,
37811,
46890,
262,
6625,
526,
15931,
198,
198,
41374,
2200,
11159,
796,
657,
87,
2999,
9959,
362,
198,
37811,
43198,
589,
262,
6625,
526,
15931,
198,
198,
15675,
796,
657,
87,
3070,
9959,
362,
198,
37811,
5569,
262,
1459,
1988,
526,
15931,
198
] | 2.735632 | 87 |
# Copyright 2018 Alibaba Cloud Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# -*- coding: utf-8 -*-
import json
import os
import re
import tempfile
import time
from mock import patch
from alibabacloud import ClientConfig, get_resource
from alibabacloud.clients.ecs_20140526 import EcsClient
from alibabacloud.exceptions import HttpErrorException, ServerException
from tests.base import SDKTestBase
| [
2,
15069,
2864,
41992,
10130,
3457,
13,
1439,
2489,
10395,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921,
743,
7330,
257,
4866,
286,
262,
13789,
379,
198,
2,
198,
2,
220,
220,
220,
2638,
1378,
2503,
13,
43073,
13,
2398,
14,
677,
4541,
14,
43,
2149,
24290,
12,
17,
13,
15,
198,
2,
198,
2,
17486,
2672,
416,
9723,
1099,
393,
4987,
284,
287,
3597,
11,
3788,
198,
2,
9387,
739,
262,
13789,
318,
9387,
319,
281,
366,
1921,
3180,
1,
29809,
1797,
11,
198,
2,
42881,
34764,
11015,
6375,
7102,
49828,
11053,
3963,
15529,
509,
12115,
11,
2035,
4911,
393,
17142,
13,
198,
2,
4091,
262,
13789,
329,
262,
2176,
3303,
15030,
21627,
290,
198,
2,
11247,
739,
262,
13789,
13,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
33918,
198,
11748,
28686,
198,
11748,
302,
198,
11748,
20218,
7753,
198,
11748,
640,
198,
198,
6738,
15290,
1330,
8529,
198,
198,
6738,
435,
571,
397,
37779,
2778,
1330,
20985,
16934,
11,
651,
62,
31092,
198,
6738,
435,
571,
397,
37779,
2778,
13,
565,
2334,
13,
721,
82,
62,
1264,
26598,
2075,
1330,
412,
6359,
11792,
198,
6738,
435,
571,
397,
37779,
2778,
13,
1069,
11755,
1330,
367,
29281,
12331,
16922,
11,
9652,
16922,
198,
6738,
5254,
13,
8692,
1330,
26144,
14402,
14881,
628,
628
] | 3.671937 | 253 |
import os
import json
from azureml.core import Workspace
from azureml.exceptions import WorkspaceException, AuthenticationException, ProjectSystemException
from azureml.core.authentication import ServicePrincipalAuthentication
from adal.adal_error import AdalError
from msrest.exceptions import AuthenticationError
from json import JSONDecodeError
from utils import AMLConfigurationException, required_parameters_provided, mask_parameter
if __name__ == "__main__":
main()
| [
11748,
28686,
198,
11748,
33918,
198,
198,
6738,
35560,
495,
4029,
13,
7295,
1330,
10933,
10223,
198,
6738,
35560,
495,
4029,
13,
1069,
11755,
1330,
10933,
10223,
16922,
11,
48191,
16922,
11,
4935,
11964,
16922,
198,
6738,
35560,
495,
4029,
13,
7295,
13,
41299,
3299,
1330,
4809,
42904,
8521,
47649,
3299,
198,
6738,
512,
282,
13,
31682,
62,
18224,
1330,
1215,
282,
12331,
198,
6738,
13845,
2118,
13,
1069,
11755,
1330,
48191,
12331,
198,
6738,
33918,
1330,
19449,
10707,
1098,
12331,
198,
6738,
3384,
4487,
1330,
3001,
43,
38149,
16922,
11,
2672,
62,
17143,
7307,
62,
41279,
11,
9335,
62,
17143,
2357,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 3.934426 | 122 |
arr = [ 1, 2, 3, 4, 5, 6, 7, 8, 9]
x = 10
# Function call
result = binary_Search(arr, 0, len(arr)-1, x)
if result != -1:
print ("Element is present at index % d" % result)
else:
print ("Element is not present in array")
| [
220,
198,
3258,
796,
685,
352,
11,
362,
11,
513,
11,
604,
11,
642,
11,
718,
11,
767,
11,
807,
11,
860,
60,
220,
198,
87,
796,
838,
198,
220,
220,
198,
2,
15553,
869,
220,
198,
20274,
796,
13934,
62,
18243,
7,
3258,
11,
657,
11,
18896,
7,
3258,
13219,
16,
11,
2124,
8,
220,
198,
220,
220,
198,
361,
1255,
14512,
532,
16,
25,
220,
198,
220,
220,
220,
3601,
5855,
20180,
318,
1944,
379,
6376,
4064,
288,
1,
4064,
1255,
8,
220,
198,
17772,
25,
220,
198,
220,
220,
220,
3601,
5855,
20180,
318,
407,
1944,
287,
7177,
4943,
220,
198
] | 2.336538 | 104 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import numpy as np
import tensorflow as tf
import pandas as pd
import model
from data_reader import load_data, DataReader, DataReaderFastText, FasttextModel
FLAGS = tf.flags.FLAGS
def run_test(session, m, data, batch_size, num_steps):
"""Runs the model on the given data."""
costs = 0.0
iters = 0
state = session.run(m.initial_state)
for step, (x, y) in enumerate(reader.dataset_iterator(data, batch_size, num_steps)):
cost, state = session.run([m.cost, m.final_state], {
m.input_data: x,
m.targets: y,
m.initial_state: state
})
costs += cost
iters += 1
return costs / iters
def main(print):
''' Loads trained model and evaluates it on test split '''
if FLAGS.load_model_for_test is None:
print('Please specify checkpoint file to load model from')
return -1
if not os.path.exists(FLAGS.load_model_for_test + ".index"):
print('Checkpoint file not found', FLAGS.load_model_for_test)
return -1
word_vocab, char_vocab, word_tensors, char_tensors, max_word_length, words_list = \
load_data(FLAGS.data_dir, FLAGS.max_word_length, eos=FLAGS.EOS)
test_reader = DataReader(word_tensors['test'], char_tensors['test'],
FLAGS.batch_size, FLAGS.num_unroll_steps)
fasttext_model_path = None
if FLAGS.fasttext_model_path:
fasttext_model_path = FLAGS.fasttext_model_path
if 'fasttext' in FLAGS.embedding:
fasttext_model = FasttextModel(fasttext_path=fasttext_model_path).get_fasttext_model()
test_ft_reader = DataReaderFastText(words_list=words_list, batch_size=FLAGS.batch_size,
num_unroll_steps=FLAGS.num_unroll_steps,
model=fasttext_model,
data='test')
print('initialized test dataset reader')
with tf.Graph().as_default(), tf.Session() as session:
# tensorflow seed must be inside graph
tf.set_random_seed(FLAGS.seed)
np.random.seed(seed=FLAGS.seed)
''' build inference graph '''
with tf.variable_scope("Model"):
m = model.inference_graph(
char_vocab_size=char_vocab.size,
word_vocab_size=word_vocab.size,
char_embed_size=FLAGS.char_embed_size,
batch_size=FLAGS.batch_size,
num_highway_layers=FLAGS.highway_layers,
num_rnn_layers=FLAGS.rnn_layers,
rnn_size=FLAGS.rnn_size,
max_word_length=max_word_length,
kernels=eval(FLAGS.kernels),
kernel_features=eval(FLAGS.kernel_features),
num_unroll_steps=FLAGS.num_unroll_steps,
dropout=0,
embedding=FLAGS.embedding,
fasttext_word_dim=300,
acoustic_features_dim=4)
m.update(model.loss_graph(m.logits, FLAGS.batch_size, FLAGS.num_unroll_steps))
global_step = tf.Variable(0, dtype=tf.int32, name='global_step')
saver = tf.train.Saver()
saver.restore(session, FLAGS.load_model_for_test)
print('Loaded model from' + str(FLAGS.load_model_for_test) + 'saved at global step' + str(global_step.eval()))
''' training starts here '''
rnn_state = session.run(m.initial_rnn_state)
count = 0
avg_loss = 0
start_time = time.time()
for batch_kim, batch_ft in zip(test_reader.iter(), test_ft_reader.iter()):
count += 1
x, y = batch_kim
loss, rnn_state, logits = session.run([
m.loss,
m.final_rnn_state,
m.logits
], {
m.input2: batch_ft,
m.input: x,
m.targets: y,
m.initial_rnn_state: rnn_state
})
avg_loss += loss
avg_loss /= count
time_elapsed = time.time() - start_time
print("test loss = %6.8f, perplexity = %6.8f" % (avg_loss, np.exp(avg_loss)))
print("test samples:" + str( count*FLAGS.batch_size) + "time elapsed:" + str( time_elapsed) + "time per one batch:" +str(time_elapsed/count))
save_data_to_csv(avg_loss, count, time_elapsed)
if __name__ == "__main__":
tf.app.run()
| [
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
6738,
11593,
37443,
834,
1330,
3601,
62,
8818,
198,
198,
11748,
28686,
198,
11748,
640,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
2746,
198,
6738,
1366,
62,
46862,
1330,
3440,
62,
7890,
11,
6060,
33634,
11,
6060,
33634,
22968,
8206,
11,
12549,
5239,
17633,
198,
198,
38948,
50,
796,
48700,
13,
33152,
13,
38948,
50,
628,
198,
4299,
1057,
62,
9288,
7,
29891,
11,
285,
11,
1366,
11,
15458,
62,
7857,
11,
997,
62,
20214,
2599,
198,
220,
220,
220,
37227,
10987,
82,
262,
2746,
319,
262,
1813,
1366,
526,
15931,
628,
220,
220,
220,
3484,
796,
657,
13,
15,
198,
220,
220,
220,
340,
364,
796,
657,
198,
220,
220,
220,
1181,
796,
6246,
13,
5143,
7,
76,
13,
36733,
62,
5219,
8,
628,
220,
220,
220,
329,
2239,
11,
357,
87,
11,
331,
8,
287,
27056,
378,
7,
46862,
13,
19608,
292,
316,
62,
48727,
7,
7890,
11,
15458,
62,
7857,
11,
997,
62,
20214,
8,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
1575,
11,
1181,
796,
6246,
13,
5143,
26933,
76,
13,
15805,
11,
285,
13,
20311,
62,
5219,
4357,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
15414,
62,
7890,
25,
2124,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
83,
853,
1039,
25,
331,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
36733,
62,
5219,
25,
1181,
198,
220,
220,
220,
220,
220,
220,
220,
32092,
628,
220,
220,
220,
220,
220,
220,
220,
3484,
15853,
1575,
198,
220,
220,
220,
220,
220,
220,
220,
340,
364,
15853,
352,
628,
220,
220,
220,
1441,
3484,
1220,
340,
364,
628,
198,
198,
4299,
1388,
7,
4798,
2599,
198,
220,
220,
220,
705,
7061,
8778,
82,
8776,
2746,
290,
47850,
340,
319,
1332,
6626,
705,
7061,
198,
220,
220,
220,
611,
9977,
4760,
50,
13,
2220,
62,
19849,
62,
1640,
62,
9288,
318,
6045,
25,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
5492,
11986,
26954,
2393,
284,
3440,
2746,
422,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
532,
16,
628,
220,
220,
220,
611,
407,
28686,
13,
6978,
13,
1069,
1023,
7,
38948,
50,
13,
2220,
62,
19849,
62,
1640,
62,
9288,
1343,
27071,
9630,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
9787,
4122,
2393,
407,
1043,
3256,
9977,
4760,
50,
13,
2220,
62,
19849,
62,
1640,
62,
9288,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1441,
532,
16,
628,
220,
220,
220,
1573,
62,
18893,
397,
11,
1149,
62,
18893,
397,
11,
1573,
62,
83,
641,
669,
11,
1149,
62,
83,
641,
669,
11,
3509,
62,
4775,
62,
13664,
11,
2456,
62,
4868,
796,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
3440,
62,
7890,
7,
38948,
50,
13,
7890,
62,
15908,
11,
9977,
4760,
50,
13,
9806,
62,
4775,
62,
13664,
11,
304,
418,
28,
38948,
50,
13,
36,
2640,
8,
628,
220,
220,
220,
1332,
62,
46862,
796,
6060,
33634,
7,
4775,
62,
83,
641,
669,
17816,
9288,
6,
4357,
1149,
62,
83,
641,
669,
17816,
9288,
6,
4357,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
9977,
4760,
50,
13,
43501,
62,
7857,
11,
9977,
4760,
50,
13,
22510,
62,
403,
2487,
62,
20214,
8,
628,
220,
220,
220,
3049,
5239,
62,
19849,
62,
6978,
796,
6045,
198,
220,
220,
220,
611,
9977,
4760,
50,
13,
7217,
5239,
62,
19849,
62,
6978,
25,
198,
220,
220,
220,
220,
220,
220,
220,
3049,
5239,
62,
19849,
62,
6978,
796,
9977,
4760,
50,
13,
7217,
5239,
62,
19849,
62,
6978,
628,
220,
220,
220,
611,
705,
7217,
5239,
6,
287,
9977,
4760,
50,
13,
20521,
12083,
25,
198,
220,
220,
220,
220,
220,
220,
220,
3049,
5239,
62,
19849,
796,
12549,
5239,
17633,
7,
7217,
5239,
62,
6978,
28,
7217,
5239,
62,
19849,
62,
6978,
737,
1136,
62,
7217,
5239,
62,
19849,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
1332,
62,
701,
62,
46862,
796,
6060,
33634,
22968,
8206,
7,
10879,
62,
4868,
28,
10879,
62,
4868,
11,
15458,
62,
7857,
28,
38948,
50,
13,
43501,
62,
7857,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
997,
62,
403,
2487,
62,
20214,
28,
38948,
50,
13,
22510,
62,
403,
2487,
62,
20214,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2746,
28,
7217,
5239,
62,
19849,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1366,
11639,
9288,
11537,
628,
220,
220,
220,
3601,
10786,
17532,
1332,
27039,
9173,
11537,
628,
220,
220,
220,
351,
48700,
13,
37065,
22446,
292,
62,
12286,
22784,
48700,
13,
36044,
3419,
355,
6246,
25,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
11192,
273,
11125,
9403,
1276,
307,
2641,
4823,
198,
220,
220,
220,
220,
220,
220,
220,
48700,
13,
2617,
62,
25120,
62,
28826,
7,
38948,
50,
13,
28826,
8,
198,
220,
220,
220,
220,
220,
220,
220,
45941,
13,
25120,
13,
28826,
7,
28826,
28,
38948,
50,
13,
28826,
8,
628,
220,
220,
220,
220,
220,
220,
220,
705,
7061,
1382,
32278,
4823,
705,
7061,
198,
220,
220,
220,
220,
220,
220,
220,
351,
48700,
13,
45286,
62,
29982,
7203,
17633,
1,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
796,
2746,
13,
259,
4288,
62,
34960,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1149,
62,
18893,
397,
62,
7857,
28,
10641,
62,
18893,
397,
13,
7857,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1573,
62,
18893,
397,
62,
7857,
28,
4775,
62,
18893,
397,
13,
7857,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1149,
62,
20521,
62,
7857,
28,
38948,
50,
13,
10641,
62,
20521,
62,
7857,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
15458,
62,
7857,
28,
38948,
50,
13,
43501,
62,
7857,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
997,
62,
8929,
1014,
62,
75,
6962,
28,
38948,
50,
13,
8929,
1014,
62,
75,
6962,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
997,
62,
81,
20471,
62,
75,
6962,
28,
38948,
50,
13,
81,
20471,
62,
75,
6962,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
374,
20471,
62,
7857,
28,
38948,
50,
13,
81,
20471,
62,
7857,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3509,
62,
4775,
62,
13664,
28,
9806,
62,
4775,
62,
13664,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
50207,
28,
18206,
7,
38948,
50,
13,
74,
44930,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
9720,
62,
40890,
28,
18206,
7,
38948,
50,
13,
33885,
62,
40890,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
997,
62,
403,
2487,
62,
20214,
28,
38948,
50,
13,
22510,
62,
403,
2487,
62,
20214,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4268,
448,
28,
15,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
11525,
12083,
28,
38948,
50,
13,
20521,
12083,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3049,
5239,
62,
4775,
62,
27740,
28,
6200,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26071,
62,
40890,
62,
27740,
28,
19,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
19119,
7,
19849,
13,
22462,
62,
34960,
7,
76,
13,
6404,
896,
11,
9977,
4760,
50,
13,
43501,
62,
7857,
11,
9977,
4760,
50,
13,
22510,
62,
403,
2487,
62,
20214,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3298,
62,
9662,
796,
48700,
13,
43015,
7,
15,
11,
288,
4906,
28,
27110,
13,
600,
2624,
11,
1438,
11639,
20541,
62,
9662,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
473,
332,
796,
48700,
13,
27432,
13,
50,
8770,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
473,
332,
13,
2118,
382,
7,
29891,
11,
9977,
4760,
50,
13,
2220,
62,
19849,
62,
1640,
62,
9288,
8,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
8912,
276,
2746,
422,
6,
1343,
965,
7,
38948,
50,
13,
2220,
62,
19849,
62,
1640,
62,
9288,
8,
1343,
705,
82,
9586,
379,
3298,
2239,
6,
1343,
965,
7,
20541,
62,
9662,
13,
18206,
3419,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
705,
7061,
3047,
4940,
994,
705,
7061,
198,
220,
220,
220,
220,
220,
220,
220,
374,
20471,
62,
5219,
796,
6246,
13,
5143,
7,
76,
13,
36733,
62,
81,
20471,
62,
5219,
8,
198,
220,
220,
220,
220,
220,
220,
220,
954,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
42781,
62,
22462,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
923,
62,
2435,
796,
640,
13,
2435,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
329,
15458,
62,
74,
320,
11,
15458,
62,
701,
287,
19974,
7,
9288,
62,
46862,
13,
2676,
22784,
1332,
62,
701,
62,
46862,
13,
2676,
3419,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
954,
15853,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2124,
11,
331,
796,
15458,
62,
74,
320,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2994,
11,
374,
20471,
62,
5219,
11,
2604,
896,
796,
6246,
13,
5143,
26933,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
22462,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
20311,
62,
81,
20471,
62,
5219,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
6404,
896,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
16589,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
15414,
17,
25,
15458,
62,
701,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
15414,
25,
2124,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
83,
853,
1039,
25,
331,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
285,
13,
36733,
62,
81,
20471,
62,
5219,
25,
374,
20471,
62,
5219,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
32092,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
42781,
62,
22462,
15853,
2994,
628,
220,
220,
220,
220,
220,
220,
220,
42781,
62,
22462,
1220,
28,
954,
198,
220,
220,
220,
220,
220,
220,
220,
640,
62,
417,
28361,
796,
640,
13,
2435,
3419,
532,
923,
62,
2435,
628,
220,
220,
220,
220,
220,
220,
220,
3601,
7203,
9288,
2994,
796,
4064,
21,
13,
23,
69,
11,
35682,
414,
796,
4064,
21,
13,
23,
69,
1,
4064,
357,
615,
70,
62,
22462,
11,
45941,
13,
11201,
7,
615,
70,
62,
22462,
22305,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
7203,
9288,
8405,
11097,
1343,
965,
7,
954,
9,
38948,
50,
13,
43501,
62,
7857,
8,
1343,
366,
2435,
42118,
11097,
1343,
965,
7,
640,
62,
417,
28361,
8,
1343,
366,
2435,
583,
530,
15458,
11097,
1343,
2536,
7,
2435,
62,
417,
28361,
14,
9127,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
3613,
62,
7890,
62,
1462,
62,
40664,
7,
615,
70,
62,
22462,
11,
954,
11,
640,
62,
417,
28361,
8,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
48700,
13,
1324,
13,
5143,
3419,
198
] | 2.003055 | 2,291 |
# This example demonstrates the use of the get_all_boards function
import py8chan
if __name__ == '__main__':
main()
| [
2,
770,
1672,
15687,
262,
779,
286,
262,
651,
62,
439,
62,
12821,
2163,
198,
11748,
12972,
23,
3147,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
1388,
3419,
198
] | 3.184211 | 38 |
fim = 1
vgremio = 0
vinter = 0
empate = 0
final = 0
soma = 0
while (fim == 1):
inter, gremio = map(int, input().split())
soma += 1
if inter > gremio:
vinter = vinter + 1
elif gremio > inter:
vgremio = vgremio + 1
elif inter == gremio:
empate += 1
print("Novo grenal (1-sim 2-nao)")
fim = int(input())
print(soma,"grenais")
print("Inter:%d" %(vinter))
print("Gremio:%d" %(vgremio))
print("Empates:%d" %(empate))
if vinter > vgremio:
print("Inter venceu mais")
elif vgremio > vinter:
print("Gremio venceu mais")
else:
print("Nao houve vencedor")
| [
69,
320,
796,
352,
198,
45119,
2787,
952,
796,
657,
198,
85,
3849,
796,
657,
198,
45787,
378,
796,
657,
198,
20311,
796,
657,
198,
82,
6086,
796,
657,
198,
4514,
357,
69,
320,
6624,
352,
2599,
198,
220,
220,
220,
987,
11,
308,
2787,
952,
796,
3975,
7,
600,
11,
5128,
22446,
35312,
28955,
198,
220,
220,
220,
3870,
64,
15853,
352,
198,
220,
220,
220,
611,
987,
1875,
308,
2787,
952,
25,
198,
220,
220,
220,
220,
220,
220,
220,
410,
3849,
796,
410,
3849,
1343,
352,
198,
220,
220,
220,
1288,
361,
308,
2787,
952,
1875,
987,
25,
198,
220,
220,
220,
220,
220,
220,
220,
410,
70,
2787,
952,
796,
410,
70,
2787,
952,
1343,
352,
198,
220,
220,
220,
1288,
361,
987,
6624,
308,
2787,
952,
25,
198,
220,
220,
220,
220,
220,
220,
220,
795,
79,
378,
15853,
352,
198,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
198,
220,
220,
220,
3601,
7203,
45,
18768,
17236,
282,
357,
16,
12,
14323,
362,
12,
2616,
78,
8,
4943,
198,
220,
220,
220,
277,
320,
796,
493,
7,
15414,
28955,
198,
220,
220,
220,
220,
198,
220,
220,
220,
220,
198,
4798,
7,
82,
6086,
553,
32762,
15152,
4943,
198,
4798,
7203,
9492,
25,
4,
67,
1,
4064,
7,
85,
3849,
4008,
198,
4798,
7203,
38,
2787,
952,
25,
4,
67,
1,
4064,
7,
45119,
2787,
952,
4008,
198,
4798,
7203,
36,
3149,
689,
25,
4,
67,
1,
4064,
7,
45787,
378,
4008,
198,
361,
410,
3849,
1875,
410,
70,
2787,
952,
25,
198,
220,
220,
220,
3601,
7203,
9492,
410,
594,
84,
285,
15152,
4943,
198,
417,
361,
410,
70,
2787,
952,
1875,
410,
3849,
25,
198,
220,
220,
220,
3601,
7203,
38,
2787,
952,
410,
594,
84,
285,
15152,
4943,
198,
17772,
25,
198,
220,
220,
220,
3601,
7203,
45,
5488,
289,
280,
303,
410,
5864,
273,
4943,
198,
220,
220,
220,
220
] | 1.942424 | 330 |
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="ENXEASY",
version="1.0",
author="Pooyan Nayyeri",
author_email="[email protected]",
description="ENX EASY absolute rotary encoders library for Raspberry Pi.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/pnnayyeri/ENXEASY",
packages=setuptools.find_packages(),
install_requires=['RPi.GPIO', 'graycode'],
classifiers=[
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.2",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"License :: OSI Approved :: MIT License",
"Operating System :: POSIX :: Linux",
],
keywords = [
"raspberrypi",
"encoder",
"gpio",
"absolute",
"rotary"
]
)
| [
11748,
900,
37623,
10141,
198,
198,
4480,
1280,
7203,
15675,
11682,
13,
9132,
1600,
366,
81,
4943,
355,
277,
71,
25,
198,
220,
220,
220,
890,
62,
11213,
796,
277,
71,
13,
961,
3419,
198,
198,
2617,
37623,
10141,
13,
40406,
7,
198,
220,
220,
220,
1438,
2625,
1677,
55,
36,
26483,
1600,
198,
220,
220,
220,
2196,
2625,
16,
13,
15,
1600,
198,
220,
220,
220,
1772,
2625,
18833,
726,
272,
38808,
9860,
72,
1600,
198,
220,
220,
220,
1772,
62,
12888,
2625,
79,
20471,
323,
9860,
72,
31,
14816,
13,
785,
1600,
198,
220,
220,
220,
6764,
2625,
1677,
55,
412,
26483,
4112,
5724,
560,
2207,
375,
364,
5888,
329,
24244,
13993,
33283,
198,
220,
220,
220,
890,
62,
11213,
28,
6511,
62,
11213,
11,
198,
220,
220,
220,
890,
62,
11213,
62,
11299,
62,
4906,
2625,
5239,
14,
4102,
2902,
1600,
198,
220,
220,
220,
19016,
2625,
5450,
1378,
12567,
13,
785,
14,
79,
20471,
323,
9860,
72,
14,
1677,
55,
36,
26483,
1600,
198,
220,
220,
220,
10392,
28,
2617,
37623,
10141,
13,
19796,
62,
43789,
22784,
198,
220,
220,
220,
2721,
62,
47911,
28,
17816,
20031,
72,
13,
16960,
9399,
3256,
705,
44605,
8189,
6,
4357,
198,
220,
220,
220,
1398,
13350,
41888,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
17,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
18,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
19,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
20,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
21,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
22,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
23,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
15167,
2229,
15417,
7904,
11361,
7904,
513,
13,
24,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
34156,
7904,
7294,
40,
20010,
1079,
7904,
17168,
13789,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
18843,
803,
4482,
7904,
28069,
10426,
7904,
7020,
1600,
198,
220,
220,
220,
16589,
198,
220,
220,
220,
26286,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
366,
81,
17653,
14415,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
12685,
12342,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
31197,
952,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
48546,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
366,
10599,
560,
1,
198,
220,
220,
220,
2361,
198,
8,
198
] | 2.427126 | 494 |
from dicom_parser.utils.sequence_detector.sequences.mr.dwi.dwi import \
MR_DIFFUSION_SEQUENCES
| [
6738,
288,
291,
296,
62,
48610,
13,
26791,
13,
43167,
62,
15255,
9250,
13,
3107,
3007,
13,
43395,
13,
67,
37686,
13,
67,
37686,
1330,
3467,
198,
220,
220,
220,
17242,
62,
35,
29267,
2937,
2849,
62,
5188,
10917,
24181,
1546,
198
] | 2.357143 | 42 |
# Ported from square/wire:
# wire-library/wire-schema/src/commonMain/kotlin/com/squareup/wire/schema/internal/parser/TypeElement.kt
from dataclasses import dataclass
from karapace.protobuf.location import Location
from typing import List, TYPE_CHECKING
if TYPE_CHECKING:
from karapace.protobuf.option_element import OptionElement
@dataclass
| [
2,
4347,
276,
422,
6616,
14,
21809,
25,
198,
2,
6503,
12,
32016,
14,
21809,
12,
15952,
2611,
14,
10677,
14,
11321,
13383,
14,
74,
313,
2815,
14,
785,
14,
23415,
929,
14,
21809,
14,
15952,
2611,
14,
32538,
14,
48610,
14,
6030,
20180,
13,
21841,
198,
6738,
4818,
330,
28958,
1330,
4818,
330,
31172,
198,
6738,
479,
283,
499,
558,
13,
11235,
672,
3046,
13,
24886,
1330,
13397,
198,
6738,
19720,
1330,
7343,
11,
41876,
62,
50084,
2751,
198,
198,
361,
41876,
62,
50084,
2751,
25,
198,
220,
220,
220,
422,
479,
283,
499,
558,
13,
11235,
672,
3046,
13,
18076,
62,
30854,
1330,
16018,
20180,
628,
198,
31,
19608,
330,
31172,
198
] | 3.052632 | 114 |
import sys
import numpy as np
import os.path as osp
from functools import partial
from copy import copy as _copy, deepcopy as _deepcopy
from .apply import check_and_convert, sparse_apply
from .io import load_npz
| [
11748,
25064,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
11748,
28686,
13,
6978,
355,
267,
2777,
201,
198,
6738,
1257,
310,
10141,
1330,
13027,
201,
198,
6738,
4866,
1330,
4866,
355,
4808,
30073,
11,
2769,
30073,
355,
4808,
22089,
30073,
201,
198,
201,
198,
6738,
764,
39014,
1330,
2198,
62,
392,
62,
1102,
1851,
11,
29877,
62,
39014,
201,
198,
6738,
764,
952,
1330,
3440,
62,
37659,
89,
201,
198,
201,
198
] | 3.013514 | 74 |
# -*- coding: utf-8 -*-
import os.path
import PyQt4.uic
__all__ = ['loadUi']
def loadUi(modpath, widget):
"""
Uses the PyQt4.uic.loadUI method to load the inputed ui file associated
with the given module path and widget class information on the inputed
widget.
:param modpath | str
:param widget | QWidget
"""
# generate the uifile path
basepath = os.path.dirname(modpath)
basename = widget.__class__.__name__.lower()
uifile = os.path.join(basepath, 'ui/%s.ui' % basename)
# load the ui
PyQt4.uic.loadUi(uifile, widget)
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
11748,
28686,
13,
6978,
198,
198,
11748,
9485,
48,
83,
19,
13,
84,
291,
198,
198,
834,
439,
834,
796,
37250,
2220,
52,
72,
20520,
628,
198,
4299,
3440,
52,
72,
7,
4666,
6978,
11,
26295,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
36965,
262,
9485,
48,
83,
19,
13,
84,
291,
13,
2220,
10080,
2446,
284,
3440,
262,
5128,
276,
334,
72,
2393,
3917,
198,
220,
220,
220,
351,
262,
1813,
8265,
3108,
290,
26295,
1398,
1321,
319,
262,
5128,
276,
198,
220,
220,
220,
26295,
13,
628,
220,
220,
220,
1058,
17143,
220,
220,
220,
220,
220,
953,
6978,
930,
965,
198,
220,
220,
220,
1058,
17143,
220,
220,
220,
220,
220,
26295,
220,
930,
1195,
38300,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
1303,
7716,
262,
334,
361,
576,
3108,
198,
220,
220,
220,
1615,
538,
776,
796,
28686,
13,
6978,
13,
15908,
3672,
7,
4666,
6978,
8,
198,
220,
220,
220,
1615,
12453,
796,
26295,
13,
834,
4871,
834,
13,
834,
3672,
834,
13,
21037,
3419,
198,
220,
220,
220,
334,
361,
576,
796,
28686,
13,
6978,
13,
22179,
7,
12093,
538,
776,
11,
705,
9019,
14,
4,
82,
13,
9019,
6,
4064,
1615,
12453,
8,
628,
220,
220,
220,
1303,
3440,
262,
334,
72,
198,
220,
220,
220,
9485,
48,
83,
19,
13,
84,
291,
13,
2220,
52,
72,
7,
84,
361,
576,
11,
26295,
8,
198
] | 2.346614 | 251 |
import datetime
import warnings
from functools import update_wrapper
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast
from dagster import check
from dagster.core.definitions.partition import (
PartitionScheduleDefinition,
PartitionSetDefinition,
ScheduleType,
TimeBasedPartitionParams,
)
from dagster.core.definitions.pipeline import PipelineDefinition
from dagster.core.errors import DagsterInvalidDefinitionError
from dagster.utils.partitions import (
DEFAULT_DATE_FORMAT,
DEFAULT_HOURLY_FORMAT_WITHOUT_TIMEZONE,
DEFAULT_HOURLY_FORMAT_WITH_TIMEZONE,
DEFAULT_MONTHLY_FORMAT,
create_offset_partition_selector,
)
from ..mode import DEFAULT_MODE_NAME
from ..schedule import ScheduleDefinition
if TYPE_CHECKING:
from dagster import ScheduleExecutionContext, Partition
# Error messages are long
# pylint: disable=C0301
def schedule(
cron_schedule: str,
pipeline_name: Optional[str] = None,
name: Optional[str] = None,
tags: Optional[Dict[str, Any]] = None,
tags_fn: Optional[Callable[["ScheduleExecutionContext"], Optional[Dict[str, str]]]] = None,
solid_selection: Optional[List[str]] = None,
mode: Optional[str] = "default",
should_execute: Optional[Callable[["ScheduleExecutionContext"], bool]] = None,
environment_vars: Optional[Dict[str, str]] = None,
execution_timezone: Optional[str] = None,
description: Optional[str] = None,
job: Optional[PipelineDefinition] = None,
) -> Callable[[Callable[["ScheduleExecutionContext"], Dict[str, Any]]], ScheduleDefinition]:
"""Create a schedule.
The decorated function will be called as the ``run_config_fn`` of the underlying
:py:class:`~dagster.ScheduleDefinition` and should take a
:py:class:`~dagster.ScheduleExecutionContext` as its only argument, returning the run config
for the scheduled execution.
Args:
cron_schedule (str): A valid cron string specifying when the schedule will run, e.g.,
``'45 23 * * 6'`` for a schedule that runs at 11:45 PM every Saturday.
pipeline_name (str): The name of the pipeline to execute when the schedule runs.
name (Optional[str]): The name of the schedule to create.
tags (Optional[Dict[str, str]]): A dictionary of tags (string key-value pairs) to attach
to the scheduled runs.
tags_fn (Optional[Callable[[ScheduleExecutionContext], Optional[Dict[str, str]]]]): A function
that generates tags to attach to the schedules runs. Takes a
:py:class:`~dagster.ScheduleExecutionContext` and returns a dictionary of tags (string
key-value pairs). You may set only one of ``tags`` and ``tags_fn``.
solid_selection (Optional[List[str]]): A list of solid subselection (including single
solid names) to execute when the schedule runs. e.g. ``['*some_solid+', 'other_solid']``
mode (Optional[str]): The pipeline mode in which to execute this schedule.
(Default: 'default')
should_execute (Optional[Callable[[ScheduleExecutionContext], bool]]): A function that runs at
schedule execution tie to determine whether a schedule should execute or skip. Takes a
:py:class:`~dagster.ScheduleExecutionContext` and returns a boolean (``True`` if the
schedule should execute). Defaults to a function that always returns ``True``.
environment_vars (Optional[Dict[str, str]]): Any environment variables to set when executing
the schedule.
execution_timezone (Optional[str]): Timezone in which the schedule should run. Only works
with DagsterDaemonScheduler, and must be set when using that scheduler.
description (Optional[str]): A human-readable description of the schedule.
job (Optional[PipelineDefinition]): Experimental
"""
return inner
def monthly_schedule(
pipeline_name: Optional[str],
start_date: datetime.datetime,
name: Optional[str] = None,
execution_day_of_month: int = 1,
execution_time: datetime.time = datetime.time(0, 0),
tags_fn_for_date: Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]] = None,
solid_selection: Optional[List[str]] = None,
mode: Optional[str] = "default",
should_execute: Optional[Callable[["ScheduleExecutionContext"], bool]] = None,
environment_vars: Optional[Dict[str, str]] = None,
end_date: Optional[datetime.datetime] = None,
execution_timezone: Optional[str] = None,
partition_months_offset: Optional[int] = 1,
description: Optional[str] = None,
job: Optional[PipelineDefinition] = None,
) -> Callable[[Callable[[datetime.datetime], Dict[str, Any]]], PartitionScheduleDefinition]:
"""Create a partitioned schedule that runs monthly.
The decorated function should accept a datetime object as its only argument. The datetime
represents the date partition that it's meant to run on.
The decorated function should return a run configuration dictionary, which will be used as
configuration for the scheduled run.
The decorator produces a :py:class:`~dagster.PartitionScheduleDefinition`.
Args:
pipeline_name (str): The name of the pipeline to execute when the schedule runs.
start_date (datetime.datetime): The date from which to run the schedule.
name (Optional[str]): The name of the schedule to create.
execution_day_of_month (int): The day of the month on which to run the schedule (must be
between 1 and 31).
execution_time (datetime.time): The time at which to execute the schedule.
tags_fn_for_date (Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]]): A
function that generates tags to attach to the schedules runs. Takes the date of the
schedule run and returns a dictionary of tags (string key-value pairs).
solid_selection (Optional[List[str]]): A list of solid subselection (including single
solid names) to execute when the schedule runs. e.g. ``['*some_solid+', 'other_solid']``
mode (Optional[str]): The pipeline mode in which to execute this schedule.
(Default: 'default')
should_execute (Optional[Callable[ScheduleExecutionContext, bool]]): A function that runs at
schedule execution tie to determine whether a schedule should execute or skip. Takes a
:py:class:`~dagster.ScheduleExecutionContext` and returns a boolean (``True`` if the
schedule should execute). Defaults to a function that always returns ``True``.
environment_vars (Optional[Dict[str, str]]): Any environment variables to set when executing
the schedule.
end_date (Optional[datetime.datetime]): The last time to run the schedule to, defaults to
current time.
execution_timezone (Optional[str]): Timezone in which the schedule should run. Only works
with DagsterDaemonScheduler, and must be set when using that scheduler.
partition_months_offset (Optional[int]): How many months back to go when choosing the partition
for a given schedule execution. For example, when partition_months_offset=1, the schedule
that executes during month N will fill in the partition for month N-1.
(Default: 1)
description (Optional[str]): A human-readable description of the schedule.
job (Optional[PipelineDefinition]): Experimental
"""
check.opt_str_param(name, "name")
check.inst_param(start_date, "start_date", datetime.datetime)
check.opt_inst_param(end_date, "end_date", datetime.datetime)
check.opt_callable_param(tags_fn_for_date, "tags_fn_for_date")
check.opt_nullable_list_param(solid_selection, "solid_selection", of_type=str)
mode = check.opt_str_param(mode, "mode", DEFAULT_MODE_NAME)
check.opt_callable_param(should_execute, "should_execute")
check.opt_dict_param(environment_vars, "environment_vars", key_type=str, value_type=str)
check.opt_str_param(pipeline_name, "pipeline_name")
check.int_param(execution_day_of_month, "execution_day")
check.inst_param(execution_time, "execution_time", datetime.time)
check.opt_str_param(execution_timezone, "execution_timezone")
check.opt_int_param(partition_months_offset, "partition_months_offset")
check.opt_str_param(description, "description")
if (
start_date.day != 1
or start_date.hour != 0
or start_date.minute != 0
or start_date.second != 0
):
warnings.warn(
"`start_date` must be at the beginning of the first day of the month for a monthly "
"schedule. Use `execution_day_of_month` and `execution_time` to execute the schedule "
"at a specific time within the month. For example, to run the schedule at 3AM on the "
"23rd of each month starting in October, your schedule definition would look like:"
"""
@monthly_schedule(
start_date=datetime.datetime(2020, 10, 1),
execution_day_of_month=23,
execution_time=datetime.time(3, 0)
):
def my_schedule_definition(_):
...
"""
)
if execution_day_of_month <= 0 or execution_day_of_month > 31:
raise DagsterInvalidDefinitionError(
"`execution_day_of_month={}` is not valid for monthly schedule. Execution day must be "
"between 1 and 31".format(execution_day_of_month)
)
return inner
def weekly_schedule(
pipeline_name: Optional[str],
start_date: datetime.datetime,
name: Optional[str] = None,
execution_day_of_week: int = 0,
execution_time: datetime.time = datetime.time(0, 0),
tags_fn_for_date: Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]] = None,
solid_selection: Optional[List[str]] = None,
mode: Optional[str] = "default",
should_execute: Optional[Callable[["ScheduleExecutionContext"], bool]] = None,
environment_vars: Optional[Dict[str, str]] = None,
end_date: Optional[datetime.datetime] = None,
execution_timezone: Optional[str] = None,
partition_weeks_offset: Optional[int] = 1,
description: Optional[str] = None,
job: Optional[PipelineDefinition] = None,
) -> Callable[[Callable[[datetime.datetime], Dict[str, Any]]], PartitionScheduleDefinition]:
"""Create a partitioned schedule that runs daily.
The decorated function should accept a datetime object as its only argument. The datetime
represents the date partition that it's meant to run on.
The decorated function should return a run configuration dictionary, which will be used as
configuration for the scheduled run.
The decorator produces a :py:class:`~dagster.PartitionScheduleDefinition`.
Args:
pipeline_name (str): The name of the pipeline to execute when the schedule runs.
start_date (datetime.datetime): The date from which to run the schedule.
name (Optional[str]): The name of the schedule to create.
execution_day_of_week (int): The day of the week on which to run the schedule. Must be
between 0 (Sunday) and 6 (Saturday).
execution_time (datetime.time): The time at which to execute the schedule.
tags_fn_for_date (Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]]): A
function that generates tags to attach to the schedules runs. Takes the date of the
schedule run and returns a dictionary of tags (string key-value pairs).
solid_selection (Optional[List[str]]): A list of solid subselection (including single
solid names) to execute when the schedule runs. e.g. ``['*some_solid+', 'other_solid']``
mode (Optional[str]): The pipeline mode in which to execute this schedule.
(Default: 'default')
should_execute (Optional[Callable[ScheduleExecutionContext, bool]]): A function that runs at
schedule execution tie to determine whether a schedule should execute or skip. Takes a
:py:class:`~dagster.ScheduleExecutionContext` and returns a boolean (``True`` if the
schedule should execute). Defaults to a function that always returns ``True``.
environment_vars (Optional[Dict[str, str]]): Any environment variables to set when executing
the schedule.
end_date (Optional[datetime.datetime]): The last time to run the schedule to, defaults to
current time.
execution_timezone (Optional[str]): Timezone in which the schedule should run. Only works
with DagsterDaemonScheduler, and must be set when using that scheduler.
partition_weeks_offset (Optional[int]): How many weeks back to go when choosing the partition
for a given schedule execution. For example, when partition_weeks_offset=1, the schedule
that executes during week N will fill in the partition for week N-1.
(Default: 1)
description (Optional[str]): A human-readable description of the schedule.
job (Optional[PipelineDefinition]): Experimental
"""
check.opt_str_param(name, "name")
check.inst_param(start_date, "start_date", datetime.datetime)
check.opt_inst_param(end_date, "end_date", datetime.datetime)
check.opt_callable_param(tags_fn_for_date, "tags_fn_for_date")
check.opt_nullable_list_param(solid_selection, "solid_selection", of_type=str)
mode = check.opt_str_param(mode, "mode", DEFAULT_MODE_NAME)
check.opt_callable_param(should_execute, "should_execute")
check.opt_dict_param(environment_vars, "environment_vars", key_type=str, value_type=str)
check.opt_str_param(pipeline_name, "pipeline_name")
check.int_param(execution_day_of_week, "execution_day_of_week")
check.inst_param(execution_time, "execution_time", datetime.time)
check.opt_str_param(execution_timezone, "execution_timezone")
check.opt_int_param(partition_weeks_offset, "partition_weeks_offset")
check.opt_str_param(description, "description")
if start_date.hour != 0 or start_date.minute != 0 or start_date.second != 0:
warnings.warn(
"`start_date` must be at the beginning of a day for a weekly schedule. "
"Use `execution_time` to execute the schedule at a specific time of day. For example, "
"to run the schedule at 3AM each Tuesday starting on 10/20/2020, your schedule "
"definition would look like:"
"""
@weekly_schedule(
start_date=datetime.datetime(2020, 10, 20),
execution_day_of_week=1,
execution_time=datetime.time(3, 0)
):
def my_schedule_definition(_):
...
"""
)
if execution_day_of_week < 0 or execution_day_of_week >= 7:
raise DagsterInvalidDefinitionError(
"`execution_day_of_week={}` is not valid for weekly schedule. Execution day must be "
"between 0 [Sunday] and 6 [Saturday]".format(execution_day_of_week)
)
return inner
def daily_schedule(
pipeline_name: Optional[str],
start_date: datetime.datetime,
name: Optional[str] = None,
execution_time: datetime.time = datetime.time(0, 0),
tags_fn_for_date: Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]] = None,
solid_selection: Optional[List[str]] = None,
mode: Optional[str] = "default",
should_execute: Optional[Callable[["ScheduleExecutionContext"], bool]] = None,
environment_vars: Optional[Dict[str, str]] = None,
end_date: Optional[datetime.datetime] = None,
execution_timezone: Optional[str] = None,
partition_days_offset: Optional[int] = 1,
description: Optional[str] = None,
job: Optional[PipelineDefinition] = None,
) -> Callable[[Callable[[datetime.datetime], Dict[str, Any]]], PartitionScheduleDefinition]:
"""Create a partitioned schedule that runs daily.
The decorated function should accept a datetime object as its only argument. The datetime
represents the date partition that it's meant to run on.
The decorated function should return a run configuration dictionary, which will be used as
configuration for the scheduled run.
The decorator produces a :py:class:`~dagster.PartitionScheduleDefinition`.
Args:
pipeline_name (str): The name of the pipeline to execute when the schedule runs.
start_date (datetime.datetime): The date from which to run the schedule.
name (Optional[str]): The name of the schedule to create.
execution_time (datetime.time): The time at which to execute the schedule.
tags_fn_for_date (Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]]): A
function that generates tags to attach to the schedules runs. Takes the date of the
schedule run and returns a dictionary of tags (string key-value pairs).
solid_selection (Optional[List[str]]): A list of solid subselection (including single
solid names) to execute when the schedule runs. e.g. ``['*some_solid+', 'other_solid']``
mode (Optional[str]): The pipeline mode in which to execute this schedule.
(Default: 'default')
should_execute (Optional[Callable[ScheduleExecutionContext, bool]]): A function that runs at
schedule execution tie to determine whether a schedule should execute or skip. Takes a
:py:class:`~dagster.ScheduleExecutionContext` and returns a boolean (``True`` if the
schedule should execute). Defaults to a function that always returns ``True``.
environment_vars (Optional[Dict[str, str]]): Any environment variables to set when executing
the schedule.
end_date (Optional[datetime.datetime]): The last time to run the schedule to, defaults to
current time.
execution_timezone (Optional[str]): Timezone in which the schedule should run. Only works
with DagsterDaemonScheduler, and must be set when using that scheduler.
partition_days_offset (Optional[int]): How many days back to go when choosing the partition
for a given schedule execution. For example, when partition_days_offset=1, the schedule
that executes during day N will fill in the partition for day N-1.
(Default: 1)
description (Optional[str]): A human-readable description of the schedule.
job (Optional[PipelineDefinition]): Experimental
"""
check.opt_str_param(pipeline_name, "pipeline_name")
check.inst_param(start_date, "start_date", datetime.datetime)
check.opt_str_param(name, "name")
check.inst_param(execution_time, "execution_time", datetime.time)
check.opt_inst_param(end_date, "end_date", datetime.datetime)
check.opt_callable_param(tags_fn_for_date, "tags_fn_for_date")
check.opt_nullable_list_param(solid_selection, "solid_selection", of_type=str)
mode = check.opt_str_param(mode, "mode", DEFAULT_MODE_NAME)
check.opt_callable_param(should_execute, "should_execute")
check.opt_dict_param(environment_vars, "environment_vars", key_type=str, value_type=str)
check.opt_str_param(execution_timezone, "execution_timezone")
check.opt_int_param(partition_days_offset, "partition_days_offset")
check.opt_str_param(description, "description")
if start_date.hour != 0 or start_date.minute != 0 or start_date.second != 0:
warnings.warn(
"`start_date` must be at the beginning of a day for a daily schedule. "
"Use `execution_time` to execute the schedule at a specific time of day. For example, "
"to run the schedule at 3AM each day starting on 10/20/2020, your schedule "
"definition would look like:"
"""
@daily_schedule(
start_date=datetime.datetime(2020, 10, 20),
execution_time=datetime.time(3, 0)
):
def my_schedule_definition(_):
...
"""
)
fmt = DEFAULT_DATE_FORMAT
return inner
def hourly_schedule(
pipeline_name: Optional[str],
start_date: datetime.datetime,
name: Optional[str] = None,
execution_time: datetime.time = datetime.time(0, 0),
tags_fn_for_date: Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]] = None,
solid_selection: Optional[List[str]] = None,
mode: Optional[str] = "default",
should_execute: Optional[Callable[["ScheduleExecutionContext"], bool]] = None,
environment_vars: Optional[Dict[str, str]] = None,
end_date: Optional[datetime.datetime] = None,
execution_timezone: Optional[str] = None,
partition_hours_offset: Optional[int] = 1,
description: Optional[str] = None,
job: Optional[PipelineDefinition] = None,
) -> Callable[[Callable[[datetime.datetime], Dict[str, Any]]], PartitionScheduleDefinition]:
"""Create a partitioned schedule that runs hourly.
The decorated function should accept a datetime object as its only argument. The datetime
represents the date partition that it's meant to run on.
The decorated function should return a run configuration dictionary, which will be used as
configuration for the scheduled run.
The decorator produces a :py:class:`~dagster.PartitionScheduleDefinition`.
Args:
pipeline_name (str): The name of the pipeline to execute when the schedule runs.
start_date (datetime.datetime): The date from which to run the schedule.
name (Optional[str]): The name of the schedule to create. By default, this will be the name
of the decorated function.
execution_time (datetime.time): The time at which to execute the schedule. Only the minutes
component will be respected -- the hour should be 0, and will be ignored if it is not 0.
tags_fn_for_date (Optional[Callable[[datetime.datetime], Optional[Dict[str, str]]]]): A
function that generates tags to attach to the schedules runs. Takes the date of the
schedule run and returns a dictionary of tags (string key-value pairs).
solid_selection (Optional[List[str]]): A list of solid subselection (including single
solid names) to execute when the schedule runs. e.g. ``['*some_solid+', 'other_solid']``
mode (Optional[str]): The pipeline mode in which to execute this schedule.
(Default: 'default')
should_execute (Optional[Callable[ScheduleExecutionContext, bool]]): A function that runs at
schedule execution tie to determine whether a schedule should execute or skip. Takes a
:py:class:`~dagster.ScheduleExecutionContext` and returns a boolean (``True`` if the
schedule should execute). Defaults to a function that always returns ``True``.
environment_vars (Optional[Dict[str, str]]): Any environment variables to set when executing
the schedule.
end_date (Optional[datetime.datetime]): The last time to run the schedule to, defaults to
current time.
execution_timezone (Optional[str]): Timezone in which the schedule should run. Only works
with DagsterDaemonScheduler, and must be set when using that scheduler.
partition_hours_offset (Optional[int]): How many hours back to go when choosing the partition
for a given schedule execution. For example, when partition_hours_offset=1, the schedule
that executes during hour N will fill in the partition for hour N-1.
(Default: 1)
description (Optional[str]): A human-readable description of the schedule.
job (Optional[PipelineDefinition]): Experimental
"""
check.opt_str_param(name, "name")
check.inst_param(start_date, "start_date", datetime.datetime)
check.opt_inst_param(end_date, "end_date", datetime.datetime)
check.opt_callable_param(tags_fn_for_date, "tags_fn_for_date")
check.opt_nullable_list_param(solid_selection, "solid_selection", of_type=str)
mode = check.opt_str_param(mode, "mode", DEFAULT_MODE_NAME)
check.opt_callable_param(should_execute, "should_execute")
check.opt_dict_param(environment_vars, "environment_vars", key_type=str, value_type=str)
check.opt_str_param(pipeline_name, "pipeline_name")
check.inst_param(execution_time, "execution_time", datetime.time)
check.opt_str_param(execution_timezone, "execution_timezone")
check.opt_int_param(partition_hours_offset, "partition_hours_offset")
check.opt_str_param(description, "description")
if start_date.minute != 0 or start_date.second != 0:
warnings.warn(
"`start_date` must be at the beginning of the hour for an hourly schedule. "
"Use `execution_time` to execute the schedule at a specific time within the hour. For "
"example, to run the schedule each hour at 15 minutes past the hour starting at 3AM "
"on 10/20/2020, your schedule definition would look like:"
"""
@hourly_schedule(
start_date=datetime.datetime(2020, 10, 20, 3),
execution_time=datetime.time(0, 15)
):
def my_schedule_definition(_):
...
"""
)
if execution_time.hour != 0:
warnings.warn(
"Hourly schedule {schedule_name} created with:\n"
"\tschedule_time=datetime.time(hour={hour}, minute={minute}, ...)."
"Since this is an hourly schedule, the hour parameter will be ignored and the schedule "
"will run on the {minute} mark for the previous hour interval. Replace "
"datetime.time(hour={hour}, minute={minute}, ...) with "
"datetime.time(minute={minute}, ...) to fix this warning."
)
return inner
| [
11748,
4818,
8079,
198,
11748,
14601,
198,
6738,
1257,
310,
10141,
1330,
4296,
62,
48553,
198,
6738,
19720,
1330,
41876,
62,
50084,
2751,
11,
4377,
11,
4889,
540,
11,
360,
713,
11,
7343,
11,
32233,
11,
3350,
198,
198,
6738,
48924,
1706,
1330,
2198,
198,
6738,
48924,
1706,
13,
7295,
13,
4299,
50101,
13,
3911,
653,
1330,
357,
198,
220,
220,
220,
2142,
653,
27054,
5950,
36621,
11,
198,
220,
220,
220,
2142,
653,
7248,
36621,
11,
198,
220,
220,
220,
19281,
6030,
11,
198,
220,
220,
220,
3862,
15001,
7841,
653,
10044,
4105,
11,
198,
8,
198,
6738,
48924,
1706,
13,
7295,
13,
4299,
50101,
13,
79,
541,
4470,
1330,
37709,
36621,
198,
6738,
48924,
1706,
13,
7295,
13,
48277,
1330,
32167,
1706,
44651,
36621,
12331,
198,
6738,
48924,
1706,
13,
26791,
13,
3911,
1756,
1330,
357,
198,
220,
220,
220,
5550,
38865,
62,
35,
6158,
62,
21389,
1404,
11,
198,
220,
220,
220,
5550,
38865,
62,
46685,
7836,
56,
62,
21389,
1404,
62,
54,
10554,
12425,
62,
34694,
57,
11651,
11,
198,
220,
220,
220,
5550,
38865,
62,
46685,
7836,
56,
62,
21389,
1404,
62,
54,
10554,
62,
34694,
57,
11651,
11,
198,
220,
220,
220,
5550,
38865,
62,
27857,
4221,
11319,
62,
21389,
1404,
11,
198,
220,
220,
220,
2251,
62,
28968,
62,
3911,
653,
62,
19738,
273,
11,
198,
8,
198,
198,
6738,
11485,
14171,
1330,
5550,
38865,
62,
49058,
62,
20608,
198,
6738,
11485,
15952,
5950,
1330,
19281,
36621,
198,
198,
361,
41876,
62,
50084,
2751,
25,
198,
220,
220,
220,
422,
48924,
1706,
1330,
19281,
23002,
1009,
21947,
11,
2142,
653,
198,
198,
2,
13047,
6218,
389,
890,
198,
2,
279,
2645,
600,
25,
15560,
28,
34,
3070,
486,
628,
198,
4299,
7269,
7,
198,
220,
220,
220,
1067,
261,
62,
15952,
5950,
25,
965,
11,
198,
220,
220,
220,
11523,
62,
3672,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
1438,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
15940,
25,
32233,
58,
35,
713,
58,
2536,
11,
4377,
11907,
796,
6045,
11,
198,
220,
220,
220,
15940,
62,
22184,
25,
32233,
58,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
796,
6045,
11,
198,
220,
220,
220,
4735,
62,
49283,
25,
32233,
58,
8053,
58,
2536,
11907,
796,
6045,
11,
198,
220,
220,
220,
4235,
25,
32233,
58,
2536,
60,
796,
366,
12286,
1600,
198,
220,
220,
220,
815,
62,
41049,
25,
32233,
58,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
20512,
11907,
796,
6045,
11,
198,
220,
220,
220,
2858,
62,
85,
945,
25,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
11340,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
6764,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
1693,
25,
32233,
58,
47,
541,
4470,
36621,
60,
796,
6045,
11,
198,
8,
4613,
4889,
540,
30109,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
360,
713,
58,
2536,
11,
4377,
11907,
4357,
19281,
36621,
5974,
198,
220,
220,
220,
37227,
16447,
257,
7269,
13,
628,
220,
220,
220,
383,
24789,
2163,
481,
307,
1444,
355,
262,
7559,
5143,
62,
11250,
62,
22184,
15506,
286,
262,
10238,
198,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
36621,
63,
290,
815,
1011,
257,
198,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
355,
663,
691,
4578,
11,
8024,
262,
1057,
4566,
198,
220,
220,
220,
329,
262,
7530,
9706,
13,
628,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1067,
261,
62,
15952,
5950,
357,
2536,
2599,
317,
4938,
1067,
261,
4731,
31577,
618,
262,
7269,
481,
1057,
11,
304,
13,
70,
1539,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7559,
6,
2231,
2242,
1635,
1635,
718,
6,
15506,
329,
257,
7269,
326,
4539,
379,
1367,
25,
2231,
3122,
790,
3909,
13,
198,
220,
220,
220,
220,
220,
220,
220,
11523,
62,
3672,
357,
2536,
2599,
383,
1438,
286,
262,
11523,
284,
12260,
618,
262,
7269,
4539,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1438,
357,
30719,
58,
2536,
60,
2599,
383,
1438,
286,
262,
7269,
284,
2251,
13,
198,
220,
220,
220,
220,
220,
220,
220,
15940,
357,
30719,
58,
35,
713,
58,
2536,
11,
965,
11907,
2599,
317,
22155,
286,
15940,
357,
8841,
1994,
12,
8367,
14729,
8,
284,
10199,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
284,
262,
7530,
4539,
13,
198,
220,
220,
220,
220,
220,
220,
220,
15940,
62,
22184,
357,
30719,
58,
14134,
540,
30109,
27054,
5950,
23002,
1009,
21947,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
2599,
317,
2163,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
326,
18616,
15940,
284,
10199,
284,
262,
24025,
4539,
13,
33687,
257,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
290,
5860,
257,
22155,
286,
15940,
357,
8841,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1994,
12,
8367,
14729,
737,
921,
743,
900,
691,
530,
286,
7559,
31499,
15506,
290,
7559,
31499,
62,
22184,
15506,
13,
198,
220,
220,
220,
220,
220,
220,
220,
4735,
62,
49283,
357,
30719,
58,
8053,
58,
2536,
11907,
2599,
317,
1351,
286,
4735,
850,
49283,
357,
8201,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4735,
3891,
8,
284,
12260,
618,
262,
7269,
4539,
13,
304,
13,
70,
13,
7559,
17816,
9,
11246,
62,
39390,
10,
3256,
705,
847,
62,
39390,
20520,
15506,
198,
220,
220,
220,
220,
220,
220,
220,
4235,
357,
30719,
58,
2536,
60,
2599,
383,
11523,
4235,
287,
543,
284,
12260,
428,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
705,
12286,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
815,
62,
41049,
357,
30719,
58,
14134,
540,
30109,
27054,
5950,
23002,
1009,
21947,
4357,
20512,
11907,
2599,
317,
2163,
326,
4539,
379,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
9706,
9839,
284,
5004,
1771,
257,
7269,
815,
12260,
393,
14267,
13,
33687,
257,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
290,
5860,
257,
25131,
357,
15506,
17821,
15506,
611,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
815,
12260,
737,
2896,
13185,
284,
257,
2163,
326,
1464,
5860,
7559,
17821,
15506,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2858,
62,
85,
945,
357,
30719,
58,
35,
713,
58,
2536,
11,
965,
11907,
2599,
4377,
2858,
9633,
284,
900,
618,
23710,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
11340,
357,
30719,
58,
2536,
60,
2599,
3862,
11340,
287,
543,
262,
7269,
815,
1057,
13,
5514,
2499,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
32167,
1706,
26531,
7966,
50,
1740,
18173,
11,
290,
1276,
307,
900,
618,
1262,
326,
6038,
18173,
13,
198,
220,
220,
220,
220,
220,
220,
220,
6764,
357,
30719,
58,
2536,
60,
2599,
317,
1692,
12,
46155,
6764,
286,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1693,
357,
30719,
58,
47,
541,
4470,
36621,
60,
2599,
32286,
198,
220,
220,
220,
37227,
628,
220,
220,
220,
1441,
8434,
628,
198,
4299,
9651,
62,
15952,
5950,
7,
198,
220,
220,
220,
11523,
62,
3672,
25,
32233,
58,
2536,
4357,
198,
220,
220,
220,
923,
62,
4475,
25,
4818,
8079,
13,
19608,
8079,
11,
198,
220,
220,
220,
1438,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
820,
62,
1659,
62,
8424,
25,
493,
796,
352,
11,
198,
220,
220,
220,
9706,
62,
2435,
25,
4818,
8079,
13,
2435,
796,
4818,
8079,
13,
2435,
7,
15,
11,
657,
828,
198,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
25,
32233,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
796,
6045,
11,
198,
220,
220,
220,
4735,
62,
49283,
25,
32233,
58,
8053,
58,
2536,
11907,
796,
6045,
11,
198,
220,
220,
220,
4235,
25,
32233,
58,
2536,
60,
796,
366,
12286,
1600,
198,
220,
220,
220,
815,
62,
41049,
25,
32233,
58,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
20512,
11907,
796,
6045,
11,
198,
220,
220,
220,
2858,
62,
85,
945,
25,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
796,
6045,
11,
198,
220,
220,
220,
886,
62,
4475,
25,
32233,
58,
19608,
8079,
13,
19608,
8079,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
11340,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
18398,
62,
41537,
62,
28968,
25,
32233,
58,
600,
60,
796,
352,
11,
198,
220,
220,
220,
6764,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
1693,
25,
32233,
58,
47,
541,
4470,
36621,
60,
796,
6045,
11,
198,
8,
4613,
4889,
540,
30109,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
360,
713,
58,
2536,
11,
4377,
11907,
4357,
2142,
653,
27054,
5950,
36621,
5974,
198,
220,
220,
220,
37227,
16447,
257,
18398,
276,
7269,
326,
4539,
9651,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
2453,
257,
4818,
8079,
2134,
355,
663,
691,
4578,
13,
383,
4818,
8079,
198,
220,
220,
220,
6870,
262,
3128,
18398,
326,
340,
338,
4001,
284,
1057,
319,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
1441,
257,
1057,
8398,
22155,
11,
543,
481,
307,
973,
355,
198,
220,
220,
220,
8398,
329,
262,
7530,
1057,
13,
628,
220,
220,
220,
383,
11705,
1352,
11073,
257,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
7841,
653,
27054,
5950,
36621,
44646,
628,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
11523,
62,
3672,
357,
2536,
2599,
383,
1438,
286,
262,
11523,
284,
12260,
618,
262,
7269,
4539,
13,
198,
220,
220,
220,
220,
220,
220,
220,
923,
62,
4475,
357,
19608,
8079,
13,
19608,
8079,
2599,
383,
3128,
422,
543,
284,
1057,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1438,
357,
30719,
58,
2536,
60,
2599,
383,
1438,
286,
262,
7269,
284,
2251,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
820,
62,
1659,
62,
8424,
357,
600,
2599,
383,
1110,
286,
262,
1227,
319,
543,
284,
1057,
262,
7269,
357,
27238,
307,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1022,
352,
290,
3261,
737,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
357,
19608,
8079,
13,
2435,
2599,
383,
640,
379,
543,
284,
12260,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
357,
30719,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
2599,
317,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2163,
326,
18616,
15940,
284,
10199,
284,
262,
24025,
4539,
13,
33687,
262,
3128,
286,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
1057,
290,
5860,
257,
22155,
286,
15940,
357,
8841,
1994,
12,
8367,
14729,
737,
198,
220,
220,
220,
220,
220,
220,
220,
4735,
62,
49283,
357,
30719,
58,
8053,
58,
2536,
11907,
2599,
317,
1351,
286,
4735,
850,
49283,
357,
8201,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4735,
3891,
8,
284,
12260,
618,
262,
7269,
4539,
13,
304,
13,
70,
13,
7559,
17816,
9,
11246,
62,
39390,
10,
3256,
705,
847,
62,
39390,
20520,
15506,
198,
220,
220,
220,
220,
220,
220,
220,
4235,
357,
30719,
58,
2536,
60,
2599,
383,
11523,
4235,
287,
543,
284,
12260,
428,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
705,
12286,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
815,
62,
41049,
357,
30719,
58,
14134,
540,
58,
27054,
5950,
23002,
1009,
21947,
11,
20512,
11907,
2599,
317,
2163,
326,
4539,
379,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
9706,
9839,
284,
5004,
1771,
257,
7269,
815,
12260,
393,
14267,
13,
33687,
257,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
290,
5860,
257,
25131,
357,
15506,
17821,
15506,
611,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
815,
12260,
737,
2896,
13185,
284,
257,
2163,
326,
1464,
5860,
7559,
17821,
15506,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2858,
62,
85,
945,
357,
30719,
58,
35,
713,
58,
2536,
11,
965,
11907,
2599,
4377,
2858,
9633,
284,
900,
618,
23710,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
886,
62,
4475,
357,
30719,
58,
19608,
8079,
13,
19608,
8079,
60,
2599,
383,
938,
640,
284,
1057,
262,
7269,
284,
11,
26235,
284,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
640,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
11340,
357,
30719,
58,
2536,
60,
2599,
3862,
11340,
287,
543,
262,
7269,
815,
1057,
13,
5514,
2499,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
32167,
1706,
26531,
7966,
50,
1740,
18173,
11,
290,
1276,
307,
900,
618,
1262,
326,
6038,
18173,
13,
198,
220,
220,
220,
220,
220,
220,
220,
18398,
62,
41537,
62,
28968,
357,
30719,
58,
600,
60,
2599,
1374,
867,
1933,
736,
284,
467,
618,
11236,
262,
18398,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
257,
1813,
7269,
9706,
13,
1114,
1672,
11,
618,
18398,
62,
41537,
62,
28968,
28,
16,
11,
262,
7269,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
326,
42985,
1141,
1227,
399,
481,
6070,
287,
262,
18398,
329,
1227,
399,
12,
16,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
6764,
357,
30719,
58,
2536,
60,
2599,
317,
1692,
12,
46155,
6764,
286,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1693,
357,
30719,
58,
47,
541,
4470,
36621,
60,
2599,
32286,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
3672,
11,
366,
3672,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
9688,
62,
4475,
11,
366,
9688,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
8625,
62,
17143,
7,
437,
62,
4475,
11,
366,
437,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
31499,
62,
22184,
62,
1640,
62,
4475,
11,
366,
31499,
62,
22184,
62,
1640,
62,
4475,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
8423,
540,
62,
4868,
62,
17143,
7,
39390,
62,
49283,
11,
366,
39390,
62,
49283,
1600,
286,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
4235,
796,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
14171,
11,
366,
14171,
1600,
5550,
38865,
62,
49058,
62,
20608,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
21754,
62,
41049,
11,
366,
21754,
62,
41049,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
11600,
62,
17143,
7,
38986,
62,
85,
945,
11,
366,
38986,
62,
85,
945,
1600,
1994,
62,
4906,
28,
2536,
11,
1988,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
79,
541,
4470,
62,
3672,
11,
366,
79,
541,
4470,
62,
3672,
4943,
198,
220,
220,
220,
2198,
13,
600,
62,
17143,
7,
18558,
1009,
62,
820,
62,
1659,
62,
8424,
11,
366,
18558,
1009,
62,
820,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
18558,
1009,
62,
2435,
11,
366,
18558,
1009,
62,
2435,
1600,
4818,
8079,
13,
2435,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
18558,
1009,
62,
2435,
11340,
11,
366,
18558,
1009,
62,
2435,
11340,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
600,
62,
17143,
7,
3911,
653,
62,
41537,
62,
28968,
11,
366,
3911,
653,
62,
41537,
62,
28968,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
11213,
11,
366,
11213,
4943,
628,
220,
220,
220,
611,
357,
198,
220,
220,
220,
220,
220,
220,
220,
923,
62,
4475,
13,
820,
14512,
352,
198,
220,
220,
220,
220,
220,
220,
220,
393,
923,
62,
4475,
13,
9769,
14512,
657,
198,
220,
220,
220,
220,
220,
220,
220,
393,
923,
62,
4475,
13,
11374,
14512,
657,
198,
220,
220,
220,
220,
220,
220,
220,
393,
923,
62,
4475,
13,
12227,
14512,
657,
198,
220,
220,
220,
15179,
198,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
63,
9688,
62,
4475,
63,
1276,
307,
379,
262,
3726,
286,
262,
717,
1110,
286,
262,
1227,
329,
257,
9651,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15952,
5950,
13,
5765,
4600,
18558,
1009,
62,
820,
62,
1659,
62,
8424,
63,
290,
4600,
18558,
1009,
62,
2435,
63,
284,
12260,
262,
7269,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
265,
257,
2176,
640,
1626,
262,
1227,
13,
1114,
1672,
11,
284,
1057,
262,
7269,
379,
513,
2390,
319,
262,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1954,
4372,
286,
1123,
1227,
3599,
287,
3267,
11,
534,
7269,
6770,
561,
804,
588,
11097,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
31,
8424,
306,
62,
15952,
5950,
7,
198,
220,
220,
220,
923,
62,
4475,
28,
19608,
8079,
13,
19608,
8079,
7,
42334,
11,
838,
11,
352,
828,
198,
220,
220,
220,
9706,
62,
820,
62,
1659,
62,
8424,
28,
1954,
11,
198,
220,
220,
220,
9706,
62,
2435,
28,
19608,
8079,
13,
2435,
7,
18,
11,
657,
8,
198,
2599,
198,
4299,
616,
62,
15952,
5950,
62,
46758,
28264,
2599,
198,
220,
220,
220,
2644,
198,
37811,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
611,
9706,
62,
820,
62,
1659,
62,
8424,
19841,
657,
393,
9706,
62,
820,
62,
1659,
62,
8424,
1875,
3261,
25,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
32167,
1706,
44651,
36621,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
63,
18558,
1009,
62,
820,
62,
1659,
62,
8424,
34758,
92,
63,
318,
407,
4938,
329,
9651,
7269,
13,
37497,
1110,
1276,
307,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23395,
352,
290,
3261,
1911,
18982,
7,
18558,
1009,
62,
820,
62,
1659,
62,
8424,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
1441,
8434,
628,
198,
4299,
10273,
62,
15952,
5950,
7,
198,
220,
220,
220,
11523,
62,
3672,
25,
32233,
58,
2536,
4357,
198,
220,
220,
220,
923,
62,
4475,
25,
4818,
8079,
13,
19608,
8079,
11,
198,
220,
220,
220,
1438,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
820,
62,
1659,
62,
10464,
25,
493,
796,
657,
11,
198,
220,
220,
220,
9706,
62,
2435,
25,
4818,
8079,
13,
2435,
796,
4818,
8079,
13,
2435,
7,
15,
11,
657,
828,
198,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
25,
32233,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
796,
6045,
11,
198,
220,
220,
220,
4735,
62,
49283,
25,
32233,
58,
8053,
58,
2536,
11907,
796,
6045,
11,
198,
220,
220,
220,
4235,
25,
32233,
58,
2536,
60,
796,
366,
12286,
1600,
198,
220,
220,
220,
815,
62,
41049,
25,
32233,
58,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
20512,
11907,
796,
6045,
11,
198,
220,
220,
220,
2858,
62,
85,
945,
25,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
796,
6045,
11,
198,
220,
220,
220,
886,
62,
4475,
25,
32233,
58,
19608,
8079,
13,
19608,
8079,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
11340,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
18398,
62,
732,
2573,
62,
28968,
25,
32233,
58,
600,
60,
796,
352,
11,
198,
220,
220,
220,
6764,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
1693,
25,
32233,
58,
47,
541,
4470,
36621,
60,
796,
6045,
11,
198,
8,
4613,
4889,
540,
30109,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
360,
713,
58,
2536,
11,
4377,
11907,
4357,
2142,
653,
27054,
5950,
36621,
5974,
198,
220,
220,
220,
37227,
16447,
257,
18398,
276,
7269,
326,
4539,
4445,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
2453,
257,
4818,
8079,
2134,
355,
663,
691,
4578,
13,
383,
4818,
8079,
198,
220,
220,
220,
6870,
262,
3128,
18398,
326,
340,
338,
4001,
284,
1057,
319,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
1441,
257,
1057,
8398,
22155,
11,
543,
481,
307,
973,
355,
198,
220,
220,
220,
8398,
329,
262,
7530,
1057,
13,
628,
220,
220,
220,
383,
11705,
1352,
11073,
257,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
7841,
653,
27054,
5950,
36621,
44646,
198,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
11523,
62,
3672,
357,
2536,
2599,
383,
1438,
286,
262,
11523,
284,
12260,
618,
262,
7269,
4539,
13,
198,
220,
220,
220,
220,
220,
220,
220,
923,
62,
4475,
357,
19608,
8079,
13,
19608,
8079,
2599,
383,
3128,
422,
543,
284,
1057,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1438,
357,
30719,
58,
2536,
60,
2599,
383,
1438,
286,
262,
7269,
284,
2251,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
820,
62,
1659,
62,
10464,
357,
600,
2599,
383,
1110,
286,
262,
1285,
319,
543,
284,
1057,
262,
7269,
13,
12039,
307,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1022,
657,
357,
21934,
8,
290,
718,
357,
19844,
737,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
357,
19608,
8079,
13,
2435,
2599,
383,
640,
379,
543,
284,
12260,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
357,
30719,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
2599,
317,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2163,
326,
18616,
15940,
284,
10199,
284,
262,
24025,
4539,
13,
33687,
262,
3128,
286,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
1057,
290,
5860,
257,
22155,
286,
15940,
357,
8841,
1994,
12,
8367,
14729,
737,
198,
220,
220,
220,
220,
220,
220,
220,
4735,
62,
49283,
357,
30719,
58,
8053,
58,
2536,
11907,
2599,
317,
1351,
286,
4735,
850,
49283,
357,
8201,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4735,
3891,
8,
284,
12260,
618,
262,
7269,
4539,
13,
304,
13,
70,
13,
7559,
17816,
9,
11246,
62,
39390,
10,
3256,
705,
847,
62,
39390,
20520,
15506,
198,
220,
220,
220,
220,
220,
220,
220,
4235,
357,
30719,
58,
2536,
60,
2599,
383,
11523,
4235,
287,
543,
284,
12260,
428,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
705,
12286,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
815,
62,
41049,
357,
30719,
58,
14134,
540,
58,
27054,
5950,
23002,
1009,
21947,
11,
20512,
11907,
2599,
317,
2163,
326,
4539,
379,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
9706,
9839,
284,
5004,
1771,
257,
7269,
815,
12260,
393,
14267,
13,
33687,
257,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
290,
5860,
257,
25131,
357,
15506,
17821,
15506,
611,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
815,
12260,
737,
2896,
13185,
284,
257,
2163,
326,
1464,
5860,
7559,
17821,
15506,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2858,
62,
85,
945,
357,
30719,
58,
35,
713,
58,
2536,
11,
965,
11907,
2599,
4377,
2858,
9633,
284,
900,
618,
23710,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
886,
62,
4475,
357,
30719,
58,
19608,
8079,
13,
19608,
8079,
60,
2599,
383,
938,
640,
284,
1057,
262,
7269,
284,
11,
26235,
284,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
640,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
11340,
357,
30719,
58,
2536,
60,
2599,
3862,
11340,
287,
543,
262,
7269,
815,
1057,
13,
5514,
2499,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
32167,
1706,
26531,
7966,
50,
1740,
18173,
11,
290,
1276,
307,
900,
618,
1262,
326,
6038,
18173,
13,
198,
220,
220,
220,
220,
220,
220,
220,
18398,
62,
732,
2573,
62,
28968,
357,
30719,
58,
600,
60,
2599,
1374,
867,
2745,
736,
284,
467,
618,
11236,
262,
18398,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
257,
1813,
7269,
9706,
13,
1114,
1672,
11,
618,
18398,
62,
732,
2573,
62,
28968,
28,
16,
11,
262,
7269,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
326,
42985,
1141,
1285,
399,
481,
6070,
287,
262,
18398,
329,
1285,
399,
12,
16,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
6764,
357,
30719,
58,
2536,
60,
2599,
317,
1692,
12,
46155,
6764,
286,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1693,
357,
30719,
58,
47,
541,
4470,
36621,
60,
2599,
32286,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
3672,
11,
366,
3672,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
9688,
62,
4475,
11,
366,
9688,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
8625,
62,
17143,
7,
437,
62,
4475,
11,
366,
437,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
31499,
62,
22184,
62,
1640,
62,
4475,
11,
366,
31499,
62,
22184,
62,
1640,
62,
4475,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
8423,
540,
62,
4868,
62,
17143,
7,
39390,
62,
49283,
11,
366,
39390,
62,
49283,
1600,
286,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
4235,
796,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
14171,
11,
366,
14171,
1600,
5550,
38865,
62,
49058,
62,
20608,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
21754,
62,
41049,
11,
366,
21754,
62,
41049,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
11600,
62,
17143,
7,
38986,
62,
85,
945,
11,
366,
38986,
62,
85,
945,
1600,
1994,
62,
4906,
28,
2536,
11,
1988,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
79,
541,
4470,
62,
3672,
11,
366,
79,
541,
4470,
62,
3672,
4943,
198,
220,
220,
220,
2198,
13,
600,
62,
17143,
7,
18558,
1009,
62,
820,
62,
1659,
62,
10464,
11,
366,
18558,
1009,
62,
820,
62,
1659,
62,
10464,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
18558,
1009,
62,
2435,
11,
366,
18558,
1009,
62,
2435,
1600,
4818,
8079,
13,
2435,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
18558,
1009,
62,
2435,
11340,
11,
366,
18558,
1009,
62,
2435,
11340,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
600,
62,
17143,
7,
3911,
653,
62,
732,
2573,
62,
28968,
11,
366,
3911,
653,
62,
732,
2573,
62,
28968,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
11213,
11,
366,
11213,
4943,
628,
220,
220,
220,
611,
923,
62,
4475,
13,
9769,
14512,
657,
393,
923,
62,
4475,
13,
11374,
14512,
657,
393,
923,
62,
4475,
13,
12227,
14512,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
63,
9688,
62,
4475,
63,
1276,
307,
379,
262,
3726,
286,
257,
1110,
329,
257,
10273,
7269,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11041,
4600,
18558,
1009,
62,
2435,
63,
284,
12260,
262,
7269,
379,
257,
2176,
640,
286,
1110,
13,
1114,
1672,
11,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1462,
1057,
262,
7269,
379,
513,
2390,
1123,
3431,
3599,
319,
838,
14,
1238,
14,
42334,
11,
534,
7269,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
46758,
561,
804,
588,
11097,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
31,
45291,
62,
15952,
5950,
7,
198,
220,
220,
220,
923,
62,
4475,
28,
19608,
8079,
13,
19608,
8079,
7,
42334,
11,
838,
11,
1160,
828,
198,
220,
220,
220,
9706,
62,
820,
62,
1659,
62,
10464,
28,
16,
11,
198,
220,
220,
220,
9706,
62,
2435,
28,
19608,
8079,
13,
2435,
7,
18,
11,
657,
8,
198,
2599,
198,
4299,
616,
62,
15952,
5950,
62,
46758,
28264,
2599,
198,
220,
220,
220,
2644,
198,
37811,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
611,
9706,
62,
820,
62,
1659,
62,
10464,
1279,
657,
393,
9706,
62,
820,
62,
1659,
62,
10464,
18189,
767,
25,
198,
220,
220,
220,
220,
220,
220,
220,
5298,
32167,
1706,
44651,
36621,
12331,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
63,
18558,
1009,
62,
820,
62,
1659,
62,
10464,
34758,
92,
63,
318,
407,
4938,
329,
10273,
7269,
13,
37497,
1110,
1276,
307,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23395,
657,
685,
21934,
60,
290,
718,
685,
19844,
60,
1911,
18982,
7,
18558,
1009,
62,
820,
62,
1659,
62,
10464,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
1441,
8434,
628,
198,
4299,
4445,
62,
15952,
5950,
7,
198,
220,
220,
220,
11523,
62,
3672,
25,
32233,
58,
2536,
4357,
198,
220,
220,
220,
923,
62,
4475,
25,
4818,
8079,
13,
19608,
8079,
11,
198,
220,
220,
220,
1438,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
25,
4818,
8079,
13,
2435,
796,
4818,
8079,
13,
2435,
7,
15,
11,
657,
828,
198,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
25,
32233,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
796,
6045,
11,
198,
220,
220,
220,
4735,
62,
49283,
25,
32233,
58,
8053,
58,
2536,
11907,
796,
6045,
11,
198,
220,
220,
220,
4235,
25,
32233,
58,
2536,
60,
796,
366,
12286,
1600,
198,
220,
220,
220,
815,
62,
41049,
25,
32233,
58,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
20512,
11907,
796,
6045,
11,
198,
220,
220,
220,
2858,
62,
85,
945,
25,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
796,
6045,
11,
198,
220,
220,
220,
886,
62,
4475,
25,
32233,
58,
19608,
8079,
13,
19608,
8079,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
11340,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
18398,
62,
12545,
62,
28968,
25,
32233,
58,
600,
60,
796,
352,
11,
198,
220,
220,
220,
6764,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
1693,
25,
32233,
58,
47,
541,
4470,
36621,
60,
796,
6045,
11,
198,
8,
4613,
4889,
540,
30109,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
360,
713,
58,
2536,
11,
4377,
11907,
4357,
2142,
653,
27054,
5950,
36621,
5974,
198,
220,
220,
220,
37227,
16447,
257,
18398,
276,
7269,
326,
4539,
4445,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
2453,
257,
4818,
8079,
2134,
355,
663,
691,
4578,
13,
383,
4818,
8079,
198,
220,
220,
220,
6870,
262,
3128,
18398,
326,
340,
338,
4001,
284,
1057,
319,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
1441,
257,
1057,
8398,
22155,
11,
543,
481,
307,
973,
355,
198,
220,
220,
220,
8398,
329,
262,
7530,
1057,
13,
628,
220,
220,
220,
383,
11705,
1352,
11073,
257,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
7841,
653,
27054,
5950,
36621,
44646,
628,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
11523,
62,
3672,
357,
2536,
2599,
383,
1438,
286,
262,
11523,
284,
12260,
618,
262,
7269,
4539,
13,
198,
220,
220,
220,
220,
220,
220,
220,
923,
62,
4475,
357,
19608,
8079,
13,
19608,
8079,
2599,
383,
3128,
422,
543,
284,
1057,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1438,
357,
30719,
58,
2536,
60,
2599,
383,
1438,
286,
262,
7269,
284,
2251,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
357,
19608,
8079,
13,
2435,
2599,
383,
640,
379,
543,
284,
12260,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
357,
30719,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
2599,
317,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2163,
326,
18616,
15940,
284,
10199,
284,
262,
24025,
4539,
13,
33687,
262,
3128,
286,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
1057,
290,
5860,
257,
22155,
286,
15940,
357,
8841,
1994,
12,
8367,
14729,
737,
198,
220,
220,
220,
220,
220,
220,
220,
4735,
62,
49283,
357,
30719,
58,
8053,
58,
2536,
11907,
2599,
317,
1351,
286,
4735,
850,
49283,
357,
8201,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4735,
3891,
8,
284,
12260,
618,
262,
7269,
4539,
13,
304,
13,
70,
13,
7559,
17816,
9,
11246,
62,
39390,
10,
3256,
705,
847,
62,
39390,
20520,
15506,
198,
220,
220,
220,
220,
220,
220,
220,
4235,
357,
30719,
58,
2536,
60,
2599,
383,
11523,
4235,
287,
543,
284,
12260,
428,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
705,
12286,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
815,
62,
41049,
357,
30719,
58,
14134,
540,
58,
27054,
5950,
23002,
1009,
21947,
11,
20512,
11907,
2599,
317,
2163,
326,
4539,
379,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
9706,
9839,
284,
5004,
1771,
257,
7269,
815,
12260,
393,
14267,
13,
33687,
257,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
290,
5860,
257,
25131,
357,
15506,
17821,
15506,
611,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
815,
12260,
737,
2896,
13185,
284,
257,
2163,
326,
1464,
5860,
7559,
17821,
15506,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2858,
62,
85,
945,
357,
30719,
58,
35,
713,
58,
2536,
11,
965,
11907,
2599,
4377,
2858,
9633,
284,
900,
618,
23710,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
886,
62,
4475,
357,
30719,
58,
19608,
8079,
13,
19608,
8079,
60,
2599,
383,
938,
640,
284,
1057,
262,
7269,
284,
11,
26235,
284,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
640,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
11340,
357,
30719,
58,
2536,
60,
2599,
3862,
11340,
287,
543,
262,
7269,
815,
1057,
13,
5514,
2499,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
32167,
1706,
26531,
7966,
50,
1740,
18173,
11,
290,
1276,
307,
900,
618,
1262,
326,
6038,
18173,
13,
198,
220,
220,
220,
220,
220,
220,
220,
18398,
62,
12545,
62,
28968,
357,
30719,
58,
600,
60,
2599,
1374,
867,
1528,
736,
284,
467,
618,
11236,
262,
18398,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
257,
1813,
7269,
9706,
13,
1114,
1672,
11,
618,
18398,
62,
12545,
62,
28968,
28,
16,
11,
262,
7269,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
326,
42985,
1141,
1110,
399,
481,
6070,
287,
262,
18398,
329,
1110,
399,
12,
16,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
6764,
357,
30719,
58,
2536,
60,
2599,
317,
1692,
12,
46155,
6764,
286,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1693,
357,
30719,
58,
47,
541,
4470,
36621,
60,
2599,
32286,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
79,
541,
4470,
62,
3672,
11,
366,
79,
541,
4470,
62,
3672,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
9688,
62,
4475,
11,
366,
9688,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
3672,
11,
366,
3672,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
18558,
1009,
62,
2435,
11,
366,
18558,
1009,
62,
2435,
1600,
4818,
8079,
13,
2435,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
8625,
62,
17143,
7,
437,
62,
4475,
11,
366,
437,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
31499,
62,
22184,
62,
1640,
62,
4475,
11,
366,
31499,
62,
22184,
62,
1640,
62,
4475,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
8423,
540,
62,
4868,
62,
17143,
7,
39390,
62,
49283,
11,
366,
39390,
62,
49283,
1600,
286,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
4235,
796,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
14171,
11,
366,
14171,
1600,
5550,
38865,
62,
49058,
62,
20608,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
21754,
62,
41049,
11,
366,
21754,
62,
41049,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
11600,
62,
17143,
7,
38986,
62,
85,
945,
11,
366,
38986,
62,
85,
945,
1600,
1994,
62,
4906,
28,
2536,
11,
1988,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
18558,
1009,
62,
2435,
11340,
11,
366,
18558,
1009,
62,
2435,
11340,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
600,
62,
17143,
7,
3911,
653,
62,
12545,
62,
28968,
11,
366,
3911,
653,
62,
12545,
62,
28968,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
11213,
11,
366,
11213,
4943,
628,
220,
220,
220,
611,
923,
62,
4475,
13,
9769,
14512,
657,
393,
923,
62,
4475,
13,
11374,
14512,
657,
393,
923,
62,
4475,
13,
12227,
14512,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
63,
9688,
62,
4475,
63,
1276,
307,
379,
262,
3726,
286,
257,
1110,
329,
257,
4445,
7269,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11041,
4600,
18558,
1009,
62,
2435,
63,
284,
12260,
262,
7269,
379,
257,
2176,
640,
286,
1110,
13,
1114,
1672,
11,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
1462,
1057,
262,
7269,
379,
513,
2390,
1123,
1110,
3599,
319,
838,
14,
1238,
14,
42334,
11,
534,
7269,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
46758,
561,
804,
588,
11097,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
31,
29468,
62,
15952,
5950,
7,
198,
220,
220,
220,
923,
62,
4475,
28,
19608,
8079,
13,
19608,
8079,
7,
42334,
11,
838,
11,
1160,
828,
198,
220,
220,
220,
9706,
62,
2435,
28,
19608,
8079,
13,
2435,
7,
18,
11,
657,
8,
198,
2599,
198,
4299,
616,
62,
15952,
5950,
62,
46758,
28264,
2599,
198,
220,
220,
220,
2644,
198,
37811,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
46996,
796,
5550,
38865,
62,
35,
6158,
62,
21389,
1404,
628,
220,
220,
220,
1441,
8434,
628,
198,
4299,
30160,
62,
15952,
5950,
7,
198,
220,
220,
220,
11523,
62,
3672,
25,
32233,
58,
2536,
4357,
198,
220,
220,
220,
923,
62,
4475,
25,
4818,
8079,
13,
19608,
8079,
11,
198,
220,
220,
220,
1438,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
25,
4818,
8079,
13,
2435,
796,
4818,
8079,
13,
2435,
7,
15,
11,
657,
828,
198,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
25,
32233,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
796,
6045,
11,
198,
220,
220,
220,
4735,
62,
49283,
25,
32233,
58,
8053,
58,
2536,
11907,
796,
6045,
11,
198,
220,
220,
220,
4235,
25,
32233,
58,
2536,
60,
796,
366,
12286,
1600,
198,
220,
220,
220,
815,
62,
41049,
25,
32233,
58,
14134,
540,
58,
14692,
27054,
5950,
23002,
1009,
21947,
33116,
20512,
11907,
796,
6045,
11,
198,
220,
220,
220,
2858,
62,
85,
945,
25,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
796,
6045,
11,
198,
220,
220,
220,
886,
62,
4475,
25,
32233,
58,
19608,
8079,
13,
19608,
8079,
60,
796,
6045,
11,
198,
220,
220,
220,
9706,
62,
2435,
11340,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
18398,
62,
24425,
62,
28968,
25,
32233,
58,
600,
60,
796,
352,
11,
198,
220,
220,
220,
6764,
25,
32233,
58,
2536,
60,
796,
6045,
11,
198,
220,
220,
220,
1693,
25,
32233,
58,
47,
541,
4470,
36621,
60,
796,
6045,
11,
198,
8,
4613,
4889,
540,
30109,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
360,
713,
58,
2536,
11,
4377,
11907,
4357,
2142,
653,
27054,
5950,
36621,
5974,
198,
220,
220,
220,
37227,
16447,
257,
18398,
276,
7269,
326,
4539,
30160,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
2453,
257,
4818,
8079,
2134,
355,
663,
691,
4578,
13,
383,
4818,
8079,
198,
220,
220,
220,
6870,
262,
3128,
18398,
326,
340,
338,
4001,
284,
1057,
319,
13,
628,
220,
220,
220,
383,
24789,
2163,
815,
1441,
257,
1057,
8398,
22155,
11,
543,
481,
307,
973,
355,
198,
220,
220,
220,
8398,
329,
262,
7530,
1057,
13,
628,
220,
220,
220,
383,
11705,
1352,
11073,
257,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
7841,
653,
27054,
5950,
36621,
44646,
628,
220,
220,
220,
943,
14542,
25,
198,
220,
220,
220,
220,
220,
220,
220,
11523,
62,
3672,
357,
2536,
2599,
383,
1438,
286,
262,
11523,
284,
12260,
618,
262,
7269,
4539,
13,
198,
220,
220,
220,
220,
220,
220,
220,
923,
62,
4475,
357,
19608,
8079,
13,
19608,
8079,
2599,
383,
3128,
422,
543,
284,
1057,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1438,
357,
30719,
58,
2536,
60,
2599,
383,
1438,
286,
262,
7269,
284,
2251,
13,
2750,
4277,
11,
428,
481,
307,
262,
1438,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
286,
262,
24789,
2163,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
357,
19608,
8079,
13,
2435,
2599,
383,
640,
379,
543,
284,
12260,
262,
7269,
13,
5514,
262,
2431,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7515,
481,
307,
14462,
1377,
262,
1711,
815,
307,
657,
11,
290,
481,
307,
9514,
611,
340,
318,
407,
657,
13,
198,
220,
220,
220,
220,
220,
220,
220,
15940,
62,
22184,
62,
1640,
62,
4475,
357,
30719,
58,
14134,
540,
30109,
19608,
8079,
13,
19608,
8079,
4357,
32233,
58,
35,
713,
58,
2536,
11,
965,
11907,
11907,
2599,
317,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2163,
326,
18616,
15940,
284,
10199,
284,
262,
24025,
4539,
13,
33687,
262,
3128,
286,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
1057,
290,
5860,
257,
22155,
286,
15940,
357,
8841,
1994,
12,
8367,
14729,
737,
198,
220,
220,
220,
220,
220,
220,
220,
4735,
62,
49283,
357,
30719,
58,
8053,
58,
2536,
11907,
2599,
317,
1351,
286,
4735,
850,
49283,
357,
8201,
2060,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4735,
3891,
8,
284,
12260,
618,
262,
7269,
4539,
13,
304,
13,
70,
13,
7559,
17816,
9,
11246,
62,
39390,
10,
3256,
705,
847,
62,
39390,
20520,
15506,
198,
220,
220,
220,
220,
220,
220,
220,
4235,
357,
30719,
58,
2536,
60,
2599,
383,
11523,
4235,
287,
543,
284,
12260,
428,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
705,
12286,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
815,
62,
41049,
357,
30719,
58,
14134,
540,
58,
27054,
5950,
23002,
1009,
21947,
11,
20512,
11907,
2599,
317,
2163,
326,
4539,
379,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
9706,
9839,
284,
5004,
1771,
257,
7269,
815,
12260,
393,
14267,
13,
33687,
257,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1058,
9078,
25,
4871,
25,
63,
93,
67,
363,
1706,
13,
27054,
5950,
23002,
1009,
21947,
63,
290,
5860,
257,
25131,
357,
15506,
17821,
15506,
611,
262,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7269,
815,
12260,
737,
2896,
13185,
284,
257,
2163,
326,
1464,
5860,
7559,
17821,
15506,
13,
198,
220,
220,
220,
220,
220,
220,
220,
2858,
62,
85,
945,
357,
30719,
58,
35,
713,
58,
2536,
11,
965,
11907,
2599,
4377,
2858,
9633,
284,
900,
618,
23710,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
886,
62,
4475,
357,
30719,
58,
19608,
8079,
13,
19608,
8079,
60,
2599,
383,
938,
640,
284,
1057,
262,
7269,
284,
11,
26235,
284,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
640,
13,
198,
220,
220,
220,
220,
220,
220,
220,
9706,
62,
2435,
11340,
357,
30719,
58,
2536,
60,
2599,
3862,
11340,
287,
543,
262,
7269,
815,
1057,
13,
5514,
2499,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
32167,
1706,
26531,
7966,
50,
1740,
18173,
11,
290,
1276,
307,
900,
618,
1262,
326,
6038,
18173,
13,
198,
220,
220,
220,
220,
220,
220,
220,
18398,
62,
24425,
62,
28968,
357,
30719,
58,
600,
60,
2599,
1374,
867,
2250,
736,
284,
467,
618,
11236,
262,
18398,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
257,
1813,
7269,
9706,
13,
1114,
1672,
11,
618,
18398,
62,
24425,
62,
28968,
28,
16,
11,
262,
7269,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
326,
42985,
1141,
1711,
399,
481,
6070,
287,
262,
18398,
329,
1711,
399,
12,
16,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
19463,
25,
352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
6764,
357,
30719,
58,
2536,
60,
2599,
317,
1692,
12,
46155,
6764,
286,
262,
7269,
13,
198,
220,
220,
220,
220,
220,
220,
220,
1693,
357,
30719,
58,
47,
541,
4470,
36621,
60,
2599,
32286,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
3672,
11,
366,
3672,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
9688,
62,
4475,
11,
366,
9688,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
8625,
62,
17143,
7,
437,
62,
4475,
11,
366,
437,
62,
4475,
1600,
4818,
8079,
13,
19608,
8079,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
31499,
62,
22184,
62,
1640,
62,
4475,
11,
366,
31499,
62,
22184,
62,
1640,
62,
4475,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
8423,
540,
62,
4868,
62,
17143,
7,
39390,
62,
49283,
11,
366,
39390,
62,
49283,
1600,
286,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
4235,
796,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
14171,
11,
366,
14171,
1600,
5550,
38865,
62,
49058,
62,
20608,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
13345,
540,
62,
17143,
7,
21754,
62,
41049,
11,
366,
21754,
62,
41049,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
11600,
62,
17143,
7,
38986,
62,
85,
945,
11,
366,
38986,
62,
85,
945,
1600,
1994,
62,
4906,
28,
2536,
11,
1988,
62,
4906,
28,
2536,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
79,
541,
4470,
62,
3672,
11,
366,
79,
541,
4470,
62,
3672,
4943,
198,
220,
220,
220,
2198,
13,
8625,
62,
17143,
7,
18558,
1009,
62,
2435,
11,
366,
18558,
1009,
62,
2435,
1600,
4818,
8079,
13,
2435,
8,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
18558,
1009,
62,
2435,
11340,
11,
366,
18558,
1009,
62,
2435,
11340,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
600,
62,
17143,
7,
3911,
653,
62,
24425,
62,
28968,
11,
366,
3911,
653,
62,
24425,
62,
28968,
4943,
198,
220,
220,
220,
2198,
13,
8738,
62,
2536,
62,
17143,
7,
11213,
11,
366,
11213,
4943,
628,
220,
220,
220,
611,
923,
62,
4475,
13,
11374,
14512,
657,
393,
923,
62,
4475,
13,
12227,
14512,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
63,
9688,
62,
4475,
63,
1276,
307,
379,
262,
3726,
286,
262,
1711,
329,
281,
30160,
7269,
13,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
11041,
4600,
18558,
1009,
62,
2435,
63,
284,
12260,
262,
7269,
379,
257,
2176,
640,
1626,
262,
1711,
13,
1114,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
20688,
11,
284,
1057,
262,
7269,
1123,
1711,
379,
1315,
2431,
1613,
262,
1711,
3599,
379,
513,
2390,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
261,
838,
14,
1238,
14,
42334,
11,
534,
7269,
6770,
561,
804,
588,
11097,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
31,
9769,
306,
62,
15952,
5950,
7,
198,
220,
220,
220,
923,
62,
4475,
28,
19608,
8079,
13,
19608,
8079,
7,
42334,
11,
838,
11,
1160,
11,
513,
828,
198,
220,
220,
220,
9706,
62,
2435,
28,
19608,
8079,
13,
2435,
7,
15,
11,
1315,
8,
198,
2599,
198,
4299,
616,
62,
15952,
5950,
62,
46758,
28264,
2599,
198,
220,
220,
220,
2644,
198,
37811,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
611,
9706,
62,
2435,
13,
9769,
14512,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
14601,
13,
40539,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
43223,
306,
7269,
1391,
15952,
5950,
62,
3672,
92,
2727,
351,
7479,
77,
1,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
37082,
912,
2395,
5950,
62,
2435,
28,
19608,
8079,
13,
2435,
7,
9769,
34758,
9769,
5512,
5664,
34758,
11374,
5512,
2644,
21387,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6385,
428,
318,
281,
30160,
7269,
11,
262,
1711,
11507,
481,
307,
9514,
290,
262,
7269,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10594,
1057,
319,
262,
1391,
11374,
92,
1317,
329,
262,
2180,
1711,
16654,
13,
40177,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
19608,
8079,
13,
2435,
7,
9769,
34758,
9769,
5512,
5664,
34758,
11374,
5512,
2644,
8,
351,
366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
19608,
8079,
13,
2435,
7,
11374,
34758,
11374,
5512,
2644,
8,
284,
4259,
428,
6509,
526,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
628,
220,
220,
220,
1441,
8434,
198
] | 2.834717 | 9,033 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
# Teslagrad. Прохождение игры на 100%. Карта расположения и изображения свитков (Сайт GamesisArt.ru)
import os
from urllib.parse import urljoin
import requests
# Cache
if not os.path.exists('scrolls.html'):
rs = requests.get('http://gamesisart.ru/guide/Teslagrad_Prohozhdenie_4.html#Scrolls')
html = rs.content
with open('scrolls.html', 'wb') as f:
f.write(html)
else:
html = open('scrolls.html', 'rb').read()
URL = 'http://gamesisart.ru/guide/Teslagrad_Prohozhdenie_4.html#Scrolls'
DIR_SCROLLS = 'scrolls'
from bs4 import BeautifulSoup
root = BeautifulSoup(html, 'html.parser')
img_urls = [img['src'] for img in root.select('img[src]')]
img_urls = [urljoin(URL, url_img) for url_img in img_urls if '/Teslagrad_Scroll_' in url_img]
print(len(img_urls), img_urls)
if not os.path.exists(DIR_SCROLLS):
os.mkdir(DIR_SCROLLS)
# Save images
for url in img_urls:
rs = requests.get(url)
img_data = rs.content
file_name = DIR_SCROLLS + '/' + os.path.basename(url)
with open(file_name, 'wb') as f:
f.write(img_data)
# Merge all image into one
IMAGE_WIDTH = 200
IMAGE_HEIGHT = 376
ROWS = 9
COLS = 4
SCROOLS_WIDTH = IMAGE_WIDTH * COLS
SCROOLS_HEIGHT = IMAGE_HEIGHT * ROWS
from PIL import Image
image = Image.new('RGB', (SCROOLS_WIDTH, SCROOLS_HEIGHT))
import glob
file_names = glob.glob('scrolls/*.jpg')
# Sort by <number>: Teslagrad_Scroll_<number>.jpg'
file_names.sort(key=lambda x: int(x.split('.')[0].split('_')[-1]))
it = iter(file_names)
for y in range(0, SCROOLS_HEIGHT, IMAGE_HEIGHT):
for x in range(0, SCROOLS_WIDTH, IMAGE_WIDTH):
file_name = next(it)
img = Image.open(file_name)
image.paste(img, (x, y))
image.save('scrolls.jpg')
image.show()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
628,
198,
834,
9800,
834,
796,
705,
541,
21879,
1077,
6,
628,
198,
2,
10696,
30909,
6335,
13,
12466,
253,
21169,
15166,
141,
227,
25443,
114,
43666,
16843,
22177,
18849,
16843,
12466,
116,
140,
111,
21169,
45035,
12466,
121,
16142,
1802,
7225,
12466,
248,
16142,
21169,
20375,
16142,
220,
21169,
16142,
21727,
140,
123,
25443,
119,
25443,
114,
16843,
22177,
18849,
40623,
12466,
116,
12466,
116,
140,
115,
25443,
109,
21169,
16142,
140,
114,
16843,
22177,
18849,
40623,
220,
21727,
38857,
18849,
20375,
31583,
25443,
110,
357,
140,
94,
16142,
140,
117,
20375,
5776,
271,
8001,
13,
622,
8,
198,
198,
11748,
28686,
198,
6738,
2956,
297,
571,
13,
29572,
1330,
19016,
22179,
198,
11748,
7007,
198,
198,
2,
34088,
198,
361,
407,
28686,
13,
6978,
13,
1069,
1023,
10786,
48728,
82,
13,
6494,
6,
2599,
198,
220,
220,
220,
44608,
796,
7007,
13,
1136,
10786,
4023,
1378,
19966,
271,
433,
13,
622,
14,
41311,
14,
36504,
30909,
6335,
62,
2964,
71,
8590,
71,
6559,
494,
62,
19,
13,
6494,
2,
29261,
82,
11537,
198,
220,
220,
220,
27711,
796,
44608,
13,
11299,
628,
220,
220,
220,
351,
1280,
10786,
48728,
82,
13,
6494,
3256,
705,
39346,
11537,
355,
277,
25,
198,
220,
220,
220,
220,
220,
220,
220,
277,
13,
13564,
7,
6494,
8,
198,
198,
17772,
25,
198,
220,
220,
220,
27711,
796,
1280,
10786,
48728,
82,
13,
6494,
3256,
705,
26145,
27691,
961,
3419,
628,
198,
21886,
796,
705,
4023,
1378,
19966,
271,
433,
13,
622,
14,
41311,
14,
36504,
30909,
6335,
62,
2964,
71,
8590,
71,
6559,
494,
62,
19,
13,
6494,
2,
29261,
82,
6,
198,
34720,
62,
6173,
13252,
3069,
50,
796,
705,
48728,
82,
6,
198,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
198,
15763,
796,
23762,
50,
10486,
7,
6494,
11,
705,
6494,
13,
48610,
11537,
198,
198,
9600,
62,
6371,
82,
796,
685,
9600,
17816,
10677,
20520,
329,
33705,
287,
6808,
13,
19738,
10786,
9600,
58,
10677,
60,
11537,
60,
198,
9600,
62,
6371,
82,
796,
685,
6371,
22179,
7,
21886,
11,
19016,
62,
9600,
8,
329,
19016,
62,
9600,
287,
33705,
62,
6371,
82,
611,
31051,
36504,
30909,
6335,
62,
29261,
62,
6,
287,
19016,
62,
9600,
60,
198,
4798,
7,
11925,
7,
9600,
62,
6371,
82,
828,
33705,
62,
6371,
82,
8,
198,
198,
361,
407,
28686,
13,
6978,
13,
1069,
1023,
7,
34720,
62,
6173,
13252,
3069,
50,
2599,
198,
220,
220,
220,
28686,
13,
28015,
15908,
7,
34720,
62,
6173,
13252,
3069,
50,
8,
198,
198,
2,
12793,
4263,
198,
1640,
19016,
287,
33705,
62,
6371,
82,
25,
198,
220,
220,
220,
44608,
796,
7007,
13,
1136,
7,
6371,
8,
198,
220,
220,
220,
33705,
62,
7890,
796,
44608,
13,
11299,
628,
220,
220,
220,
2393,
62,
3672,
796,
360,
4663,
62,
6173,
13252,
3069,
50,
1343,
31051,
6,
1343,
28686,
13,
6978,
13,
12093,
12453,
7,
6371,
8,
628,
220,
220,
220,
351,
1280,
7,
7753,
62,
3672,
11,
705,
39346,
11537,
355,
277,
25,
198,
220,
220,
220,
220,
220,
220,
220,
277,
13,
13564,
7,
9600,
62,
7890,
8,
198,
198,
2,
39407,
477,
2939,
656,
530,
198,
3955,
11879,
62,
54,
2389,
4221,
796,
939,
198,
3955,
11879,
62,
13909,
9947,
796,
44622,
198,
49,
22845,
796,
860,
198,
25154,
50,
796,
604,
198,
198,
6173,
13252,
3535,
50,
62,
54,
2389,
4221,
796,
8959,
11879,
62,
54,
2389,
4221,
1635,
20444,
50,
198,
6173,
13252,
3535,
50,
62,
13909,
9947,
796,
8959,
11879,
62,
13909,
9947,
1635,
371,
22845,
198,
198,
6738,
350,
4146,
1330,
7412,
198,
9060,
796,
7412,
13,
3605,
10786,
36982,
3256,
357,
6173,
13252,
3535,
50,
62,
54,
2389,
4221,
11,
6374,
13252,
3535,
50,
62,
13909,
9947,
4008,
198,
198,
11748,
15095,
198,
7753,
62,
14933,
796,
15095,
13,
4743,
672,
10786,
48728,
82,
15211,
13,
9479,
11537,
198,
198,
2,
33947,
416,
1279,
17618,
31175,
10696,
30909,
6335,
62,
29261,
62,
27,
17618,
28401,
9479,
6,
198,
7753,
62,
14933,
13,
30619,
7,
2539,
28,
50033,
2124,
25,
493,
7,
87,
13,
35312,
10786,
2637,
38381,
15,
4083,
35312,
10786,
62,
11537,
58,
12,
16,
60,
4008,
198,
270,
796,
11629,
7,
7753,
62,
14933,
8,
198,
198,
1640,
331,
287,
2837,
7,
15,
11,
6374,
13252,
3535,
50,
62,
13909,
9947,
11,
8959,
11879,
62,
13909,
9947,
2599,
198,
220,
220,
220,
329,
2124,
287,
2837,
7,
15,
11,
6374,
13252,
3535,
50,
62,
54,
2389,
4221,
11,
8959,
11879,
62,
54,
2389,
4221,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
2393,
62,
3672,
796,
1306,
7,
270,
8,
198,
220,
220,
220,
220,
220,
220,
220,
33705,
796,
7412,
13,
9654,
7,
7753,
62,
3672,
8,
628,
220,
220,
220,
220,
220,
220,
220,
2939,
13,
34274,
7,
9600,
11,
357,
87,
11,
331,
4008,
198,
198,
9060,
13,
21928,
10786,
48728,
82,
13,
9479,
11537,
198,
9060,
13,
12860,
3419,
198
] | 2.149112 | 845 |
from django.core.management import BaseCommand
from django.db import ProgrammingError
from constants.jobs import JobLifeCycle
from db.models.tensorboards import TensorboardJob
from scheduler import tensorboard_scheduler
| [
6738,
42625,
14208,
13,
7295,
13,
27604,
1330,
7308,
21575,
198,
6738,
42625,
14208,
13,
9945,
1330,
30297,
12331,
198,
198,
6738,
38491,
13,
43863,
1330,
15768,
14662,
20418,
2375,
198,
6738,
20613,
13,
27530,
13,
83,
22854,
12821,
1330,
309,
22854,
3526,
33308,
198,
6738,
6038,
18173,
1330,
11192,
273,
3526,
62,
1416,
704,
18173,
628
] | 3.894737 | 57 |
from torch.optim.lr_scheduler import *
from face_recognition.model import *
from face_recognition.utils.utils import *
from torch import nn
import pytorch_lightning as pl
from torchmetrics.functional.classification.accuracy import accuracy
# will be used during inference
| [
6738,
28034,
13,
40085,
13,
14050,
62,
1416,
704,
18173,
1330,
1635,
198,
6738,
1986,
62,
26243,
653,
13,
19849,
1330,
1635,
198,
6738,
1986,
62,
26243,
653,
13,
26791,
13,
26791,
1330,
1635,
198,
6738,
28034,
1330,
299,
77,
198,
11748,
12972,
13165,
354,
62,
2971,
768,
355,
458,
198,
6738,
28034,
4164,
10466,
13,
45124,
13,
4871,
2649,
13,
4134,
23843,
1330,
9922,
628,
198,
220,
220,
220,
1303,
481,
307,
973,
1141,
32278,
198
] | 3.61039 | 77 |
import json
from os.path import getmtime
from threading import Thread
from time import sleep
from pyswip import Prolog
from telegram.bot import Bot
from telegram.ext import CommandHandler
from telegram.ext import MessageHandler, Filters
from telegram.ext import Updater
from telegram.utils.request import Request
from handlers import start, summarize
from textProcessing import WordProcessing
| [
11748,
33918,
201,
198,
6738,
28686,
13,
6978,
1330,
651,
76,
2435,
201,
198,
6738,
4704,
278,
1330,
14122,
201,
198,
6738,
640,
1330,
3993,
201,
198,
201,
198,
6738,
279,
893,
86,
541,
1330,
1041,
6404,
201,
198,
6738,
573,
30536,
13,
13645,
1330,
18579,
201,
198,
6738,
573,
30536,
13,
2302,
1330,
9455,
25060,
201,
198,
6738,
573,
30536,
13,
2302,
1330,
16000,
25060,
11,
7066,
1010,
201,
198,
6738,
573,
30536,
13,
2302,
1330,
3205,
67,
729,
201,
198,
6738,
573,
30536,
13,
26791,
13,
25927,
1330,
19390,
201,
198,
201,
198,
6738,
32847,
1330,
923,
11,
35743,
201,
198,
6738,
2420,
18709,
278,
1330,
9678,
18709,
278,
201,
198,
201,
198,
201,
198
] | 3.529915 | 117 |
import requests
import json
from lxml.html import fromstring
from chp6.login import login, parse_form
COUNTRY_OR_DISTRICT_URL = 'http://example.python-scraping.com/edit/United-Kingdom-233'
VIEW_URL = 'http://example.python-scraping.com/view/United-Kingdom-233'
if __name__ == '__main__':
add_population()
| [
11748,
7007,
198,
11748,
33918,
198,
6738,
300,
19875,
13,
6494,
1330,
422,
8841,
198,
6738,
442,
79,
21,
13,
38235,
1330,
17594,
11,
21136,
62,
687,
198,
198,
34,
19385,
40405,
62,
1581,
62,
26288,
5446,
18379,
62,
21886,
796,
705,
4023,
1378,
20688,
13,
29412,
12,
1416,
2416,
278,
13,
785,
14,
19312,
14,
17013,
12,
15708,
3438,
12,
25429,
6,
198,
28206,
62,
21886,
796,
705,
4023,
1378,
20688,
13,
29412,
12,
1416,
2416,
278,
13,
785,
14,
1177,
14,
17013,
12,
15708,
3438,
12,
25429,
6,
628,
628,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
751,
62,
39748,
3419,
198
] | 2.79646 | 113 |
"""
Train an initial model to compute non-IID client datasets based on the latent representations of samples.
"""
import numpy as np
import pickle
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader, SubsetRandomSampler
from torchvision.models import vgg11_bn
from tqdm import tqdm
from federated.configs import cfg_fl as cfg
from federated.network import BaseConvNet, adjust_model_layers
# Embedding helper functions
def compute_embeddings(net, dataset, args, split):
"""
Actually compute embeddings given a dataset
"""
total_embeddings = []
total = 0
correct = 0
dataloader = DataLoader(dataset, batch_size=args.bs_val,
shuffle=False, num_workers=args.num_workers)
net.eval()
net.to(args.device)
save_output = SaveOutput()
hook_handles = []
for layer in net.modules():
# if isinstance(layer, torch.nn.AdaptiveAvgPool2d):
# handle = layer.register_forward_hook(save_output)
# hook_handles.append(handle)
if isinstance(layer, torch.nn.Linear):
handle = layer.register_forward_hook(save_output)
hook_handles.append(handle)
with torch.no_grad():
for i, data in enumerate(tqdm(dataloader,
desc=f'Computing embeddings ({split})')):
inputs, labels = data
inputs = inputs.to(args.device)
outputs = net(inputs)
# embeddings = net.embed(inputs)
# total_embeddings.append(embeddings.detach().cpu().numpy())
# Compute classification accuracy of setup model
_, predicted = torch.max(outputs.data, 1)
total += labels.shape[0]
correct += (predicted.cpu() == labels).sum().item()
total_embeddings = [None] * len(save_output.outputs)
for ix, output in enumerate(save_output.outputs):
total_embeddings[ix] = output.detach().cpu().numpy().squeeze()
# total_embeddings = [e.flatten() for e in total_embeddings]
n_samples = len(dataset.targets)
total_embeddings_fc1 = np.stack(total_embeddings[0::3]).reshape((n_samples, -1))
total_embeddings_fc2 = np.stack(total_embeddings[1::3]).reshape((n_samples, -1))
total_embeddings_fc3 = np.stack(total_embeddings[2::3]).reshape((n_samples, -1))
num_samples = len(dataset.targets)
total_embeddings_fc1
print(total_embeddings_fc1.shape)
print(total_embeddings_fc2.shape)
print(total_embeddings_fc3.shape)
print(f'Latent distribution setup model accuracy: {100 * correct / total:<.2f}%')
# total_embeddings = np.concatenate(total_embeddings)
return total_embeddings_fc1, total_embeddings_fc2, total_embeddings_fc3
| [
37811,
198,
44077,
281,
4238,
2746,
284,
24061,
1729,
12,
40,
2389,
5456,
40522,
1912,
319,
262,
41270,
24612,
286,
8405,
13,
198,
37811,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2298,
293,
198,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
28034,
13,
40085,
355,
6436,
198,
6738,
28034,
13,
26791,
13,
7890,
1330,
16092,
292,
316,
11,
6060,
17401,
11,
3834,
2617,
29531,
16305,
20053,
198,
6738,
28034,
10178,
13,
27530,
1330,
410,
1130,
1157,
62,
9374,
198,
198,
6738,
256,
80,
36020,
1330,
256,
80,
36020,
198,
198,
6738,
28062,
515,
13,
11250,
82,
1330,
30218,
70,
62,
2704,
355,
30218,
70,
198,
6738,
28062,
515,
13,
27349,
1330,
7308,
3103,
85,
7934,
11,
4532,
62,
19849,
62,
75,
6962,
628,
628,
198,
198,
2,
13302,
6048,
278,
31904,
5499,
628,
198,
4299,
24061,
62,
20521,
67,
654,
7,
3262,
11,
27039,
11,
26498,
11,
6626,
2599,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
18689,
24061,
11525,
67,
654,
1813,
257,
27039,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
2472,
62,
20521,
67,
654,
796,
17635,
198,
220,
220,
220,
2472,
796,
657,
198,
220,
220,
220,
3376,
796,
657,
198,
220,
220,
220,
220,
198,
220,
220,
220,
4818,
282,
1170,
263,
796,
6060,
17401,
7,
19608,
292,
316,
11,
15458,
62,
7857,
28,
22046,
13,
1443,
62,
2100,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
36273,
28,
25101,
11,
997,
62,
22896,
28,
22046,
13,
22510,
62,
22896,
8,
198,
220,
220,
220,
220,
198,
220,
220,
220,
2010,
13,
18206,
3419,
198,
220,
220,
220,
2010,
13,
1462,
7,
22046,
13,
25202,
8,
198,
220,
220,
220,
220,
198,
220,
220,
220,
3613,
62,
22915,
796,
12793,
26410,
3419,
198,
220,
220,
220,
8011,
62,
4993,
829,
796,
17635,
198,
220,
220,
220,
329,
7679,
287,
2010,
13,
18170,
33529,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
611,
318,
39098,
7,
29289,
11,
28034,
13,
20471,
13,
48003,
425,
48997,
27201,
17,
67,
2599,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5412,
796,
7679,
13,
30238,
62,
11813,
62,
25480,
7,
21928,
62,
22915,
8,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8011,
62,
4993,
829,
13,
33295,
7,
28144,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
318,
39098,
7,
29289,
11,
28034,
13,
20471,
13,
14993,
451,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5412,
796,
7679,
13,
30238,
62,
11813,
62,
25480,
7,
21928,
62,
22915,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8011,
62,
4993,
829,
13,
33295,
7,
28144,
8,
198,
220,
220,
220,
220,
198,
220,
220,
220,
351,
28034,
13,
3919,
62,
9744,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
329,
1312,
11,
1366,
287,
27056,
378,
7,
83,
80,
36020,
7,
67,
10254,
1170,
263,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1715,
28,
69,
6,
5377,
48074,
11525,
67,
654,
37913,
35312,
30072,
11537,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17311,
11,
14722,
796,
1366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17311,
796,
17311,
13,
1462,
7,
22046,
13,
25202,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
23862,
796,
2010,
7,
15414,
82,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
11525,
67,
654,
796,
2010,
13,
20521,
7,
15414,
82,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
2472,
62,
20521,
67,
654,
13,
33295,
7,
20521,
67,
654,
13,
15255,
620,
22446,
36166,
22446,
77,
32152,
28955,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
3082,
1133,
17923,
9922,
286,
9058,
2746,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4808,
11,
11001,
796,
28034,
13,
9806,
7,
22915,
82,
13,
7890,
11,
352,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
15853,
14722,
13,
43358,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3376,
15853,
357,
28764,
5722,
13,
36166,
3419,
6624,
14722,
737,
16345,
22446,
9186,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
796,
685,
14202,
60,
1635,
18896,
7,
21928,
62,
22915,
13,
22915,
82,
8,
198,
220,
220,
220,
220,
220,
220,
220,
329,
220,
844,
11,
5072,
287,
27056,
378,
7,
21928,
62,
22915,
13,
22915,
82,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
58,
844,
60,
796,
5072,
13,
15255,
620,
22446,
36166,
22446,
77,
32152,
22446,
16485,
1453,
2736,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
2,
220,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
796,
685,
68,
13,
2704,
41769,
3419,
329,
304,
287,
2472,
62,
20521,
67,
654,
60,
198,
220,
220,
220,
220,
220,
220,
220,
299,
62,
82,
12629,
796,
18896,
7,
19608,
292,
316,
13,
83,
853,
1039,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
62,
16072,
16,
796,
45941,
13,
25558,
7,
23350,
62,
20521,
67,
654,
58,
15,
3712,
18,
35944,
3447,
1758,
19510,
77,
62,
82,
12629,
11,
532,
16,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
62,
16072,
17,
796,
45941,
13,
25558,
7,
23350,
62,
20521,
67,
654,
58,
16,
3712,
18,
35944,
3447,
1758,
19510,
77,
62,
82,
12629,
11,
532,
16,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
62,
16072,
18,
796,
45941,
13,
25558,
7,
23350,
62,
20521,
67,
654,
58,
17,
3712,
18,
35944,
3447,
1758,
19510,
77,
62,
82,
12629,
11,
532,
16,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
997,
62,
82,
12629,
796,
18896,
7,
19608,
292,
316,
13,
83,
853,
1039,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2472,
62,
20521,
67,
654,
62,
16072,
16,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
23350,
62,
20521,
67,
654,
62,
16072,
16,
13,
43358,
8,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
23350,
62,
20521,
67,
654,
62,
16072,
17,
13,
43358,
8,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
23350,
62,
20521,
67,
654,
62,
16072,
18,
13,
43358,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
220,
220,
220,
3601,
7,
69,
6,
24220,
298,
6082,
9058,
2746,
9922,
25,
1391,
3064,
1635,
3376,
1220,
2472,
25,
27,
13,
17,
69,
92,
4,
11537,
198,
220,
220,
220,
220,
198,
220,
220,
220,
1303,
2472,
62,
20521,
67,
654,
796,
45941,
13,
1102,
9246,
268,
378,
7,
23350,
62,
20521,
67,
654,
8,
198,
220,
220,
220,
1441,
2472,
62,
20521,
67,
654,
62,
16072,
16,
11,
2472,
62,
20521,
67,
654,
62,
16072,
17,
11,
2472,
62,
20521,
67,
654,
62,
16072,
18,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220,
220,
220,
220,
198
] | 2.212396 | 1,323 |
A, B, C, D = input().split(" ")
n1, n2, n3, n4 = float(A), float(B), float(C), float(D)
estado = str("")
media_final = False
teste = 0
media = (n1 * 2 + n2 * 3 + n3 * 4 + n4 * 1) / (2 + 3 + 4 + 1)
print(f"Media: {media:.1f}")
if media >= 7:
estado = "Aluno aprovado."
elif media < 5:
estado = "Aluno reprovado."
else:
media_final = True
estado = "Aluno em exame."
print(f"{estado}")
teste = float(input())
print(f"Nota do exame: {teste:.1f}")
media = (media + teste) / 2
if media >= 5:
estado = "Aluno aprovado."
else:
estado = "Aluno reprovado."
print(f"{estado}")
if media_final:
print(f"Media final: {media:.1f}")
| [
32,
11,
347,
11,
327,
11,
360,
796,
5128,
22446,
35312,
7203,
366,
8,
198,
77,
16,
11,
299,
17,
11,
299,
18,
11,
299,
19,
796,
12178,
7,
32,
828,
12178,
7,
33,
828,
12178,
7,
34,
828,
12178,
7,
35,
8,
198,
395,
4533,
796,
965,
7203,
4943,
198,
11431,
62,
20311,
796,
10352,
198,
9288,
68,
796,
657,
198,
11431,
796,
357,
77,
16,
1635,
362,
1343,
299,
17,
1635,
513,
1343,
299,
18,
1635,
604,
1343,
299,
19,
1635,
352,
8,
1220,
357,
17,
1343,
513,
1343,
604,
1343,
352,
8,
198,
4798,
7,
69,
1,
13152,
25,
1391,
11431,
25,
13,
16,
69,
92,
4943,
198,
361,
2056,
18189,
767,
25,
198,
220,
220,
220,
1556,
4533,
796,
366,
2348,
36909,
257,
15234,
4533,
526,
198,
417,
361,
2056,
1279,
642,
25,
198,
220,
220,
220,
1556,
4533,
796,
366,
2348,
36909,
1128,
18657,
4533,
526,
198,
17772,
25,
198,
220,
220,
220,
2056,
62,
20311,
796,
6407,
198,
220,
220,
220,
1556,
4533,
796,
366,
2348,
36909,
795,
409,
480,
526,
198,
220,
220,
220,
3601,
7,
69,
1,
90,
395,
4533,
92,
4943,
198,
220,
220,
220,
1332,
68,
796,
12178,
7,
15414,
28955,
198,
220,
220,
220,
3601,
7,
69,
1,
3673,
64,
466,
409,
480,
25,
1391,
9288,
68,
25,
13,
16,
69,
92,
4943,
198,
220,
220,
220,
2056,
796,
357,
11431,
1343,
1332,
68,
8,
1220,
362,
198,
220,
220,
220,
611,
2056,
18189,
642,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1556,
4533,
796,
366,
2348,
36909,
257,
15234,
4533,
526,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1556,
4533,
796,
366,
2348,
36909,
1128,
18657,
4533,
526,
198,
4798,
7,
69,
1,
90,
395,
4533,
92,
4943,
198,
361,
2056,
62,
20311,
25,
198,
220,
220,
220,
3601,
7,
69,
1,
13152,
2457,
25,
1391,
11431,
25,
13,
16,
69,
92,
4943,
198
] | 2.083077 | 325 |
"""
Copyright (c) Contributors to the Open 3D Engine Project.
For complete copyright and license terms please see the LICENSE at the root of this distribution.
SPDX-License-Identifier: Apache-2.0 OR MIT
Main suite tests for the Atom renderer.
"""
import logging
import os
import pytest
import editor_python_test_tools.hydra_test_utils as hydra
logger = logging.getLogger(__name__)
EDITOR_TIMEOUT = 300
TEST_DIRECTORY = os.path.join(os.path.dirname(__file__), "atom_hydra_scripts")
@pytest.mark.parametrize("project", ["AutomatedTesting"])
@pytest.mark.parametrize("launcher_platform", ['windows_editor'])
@pytest.mark.parametrize("level", ["auto_test"])
class TestAtomEditorComponentsMain(object):
"""Holds tests for Atom components."""
def test_AtomEditorComponents_AddedToEntity(self, request, editor, level, workspace, project, launcher_platform):
"""
Please review the hydra script run by this test for more specific test info.
Tests the following Atom components and verifies all "expected_lines" appear in Editor.log:
1. Display Mapper
2. Light
3. Radius Weight Modifier
4. PostFX Layer
5. Physical Sky
6. Global Skylight (IBL)
7. Exposure Control
8. Directional Light
9. DepthOfField
10. Decal (Atom)
"""
cfg_args = [level]
expected_lines = [
# Decal (Atom) Component
"Decal (Atom) Entity successfully created",
"Decal (Atom)_test: Component added to the entity: True",
"Decal (Atom)_test: Component removed after UNDO: True",
"Decal (Atom)_test: Component added after REDO: True",
"Decal (Atom)_test: Entered game mode: True",
"Decal (Atom)_test: Exit game mode: True",
"Decal (Atom) Controller|Configuration|Material: SUCCESS",
"Decal (Atom)_test: Entity is hidden: True",
"Decal (Atom)_test: Entity is shown: True",
"Decal (Atom)_test: Entity deleted: True",
"Decal (Atom)_test: UNDO entity deletion works: True",
"Decal (Atom)_test: REDO entity deletion works: True",
# DepthOfField Component
"DepthOfField Entity successfully created",
"DepthOfField_test: Component added to the entity: True",
"DepthOfField_test: Component removed after UNDO: True",
"DepthOfField_test: Component added after REDO: True",
"DepthOfField_test: Entered game mode: True",
"DepthOfField_test: Exit game mode: True",
"DepthOfField_test: Entity disabled initially: True",
"DepthOfField_test: Entity enabled after adding required components: True",
"DepthOfField Controller|Configuration|Camera Entity: SUCCESS",
"DepthOfField_test: Entity is hidden: True",
"DepthOfField_test: Entity is shown: True",
"DepthOfField_test: Entity deleted: True",
"DepthOfField_test: UNDO entity deletion works: True",
"DepthOfField_test: REDO entity deletion works: True",
# Exposure Control Component
"Exposure Control Entity successfully created",
"Exposure Control_test: Component added to the entity: True",
"Exposure Control_test: Component removed after UNDO: True",
"Exposure Control_test: Component added after REDO: True",
"Exposure Control_test: Entered game mode: True",
"Exposure Control_test: Exit game mode: True",
"Exposure Control_test: Entity disabled initially: True",
"Exposure Control_test: Entity enabled after adding required components: True",
"Exposure Control_test: Entity is hidden: True",
"Exposure Control_test: Entity is shown: True",
"Exposure Control_test: Entity deleted: True",
"Exposure Control_test: UNDO entity deletion works: True",
"Exposure Control_test: REDO entity deletion works: True",
# Global Skylight (IBL) Component
"Global Skylight (IBL) Entity successfully created",
"Global Skylight (IBL)_test: Component added to the entity: True",
"Global Skylight (IBL)_test: Component removed after UNDO: True",
"Global Skylight (IBL)_test: Component added after REDO: True",
"Global Skylight (IBL)_test: Entered game mode: True",
"Global Skylight (IBL)_test: Exit game mode: True",
"Global Skylight (IBL) Controller|Configuration|Diffuse Image: SUCCESS",
"Global Skylight (IBL) Controller|Configuration|Specular Image: SUCCESS",
"Global Skylight (IBL)_test: Entity is hidden: True",
"Global Skylight (IBL)_test: Entity is shown: True",
"Global Skylight (IBL)_test: Entity deleted: True",
"Global Skylight (IBL)_test: UNDO entity deletion works: True",
"Global Skylight (IBL)_test: REDO entity deletion works: True",
# Physical Sky Component
"Physical Sky Entity successfully created",
"Physical Sky component was added to entity",
"Entity has a Physical Sky component",
"Physical Sky_test: Component added to the entity: True",
"Physical Sky_test: Component removed after UNDO: True",
"Physical Sky_test: Component added after REDO: True",
"Physical Sky_test: Entered game mode: True",
"Physical Sky_test: Exit game mode: True",
"Physical Sky_test: Entity is hidden: True",
"Physical Sky_test: Entity is shown: True",
"Physical Sky_test: Entity deleted: True",
"Physical Sky_test: UNDO entity deletion works: True",
"Physical Sky_test: REDO entity deletion works: True",
# PostFX Layer Component
"PostFX Layer Entity successfully created",
"PostFX Layer_test: Component added to the entity: True",
"PostFX Layer_test: Component removed after UNDO: True",
"PostFX Layer_test: Component added after REDO: True",
"PostFX Layer_test: Entered game mode: True",
"PostFX Layer_test: Exit game mode: True",
"PostFX Layer_test: Entity is hidden: True",
"PostFX Layer_test: Entity is shown: True",
"PostFX Layer_test: Entity deleted: True",
"PostFX Layer_test: UNDO entity deletion works: True",
"PostFX Layer_test: REDO entity deletion works: True",
# Radius Weight Modifier Component
"Radius Weight Modifier Entity successfully created",
"Radius Weight Modifier_test: Component added to the entity: True",
"Radius Weight Modifier_test: Component removed after UNDO: True",
"Radius Weight Modifier_test: Component added after REDO: True",
"Radius Weight Modifier_test: Entered game mode: True",
"Radius Weight Modifier_test: Exit game mode: True",
"Radius Weight Modifier_test: Entity is hidden: True",
"Radius Weight Modifier_test: Entity is shown: True",
"Radius Weight Modifier_test: Entity deleted: True",
"Radius Weight Modifier_test: UNDO entity deletion works: True",
"Radius Weight Modifier_test: REDO entity deletion works: True",
# Light Component
"Light Entity successfully created",
"Light_test: Component added to the entity: True",
"Light_test: Component removed after UNDO: True",
"Light_test: Component added after REDO: True",
"Light_test: Entered game mode: True",
"Light_test: Exit game mode: True",
"Light_test: Entity is hidden: True",
"Light_test: Entity is shown: True",
"Light_test: Entity deleted: True",
"Light_test: UNDO entity deletion works: True",
"Light_test: REDO entity deletion works: True",
# Display Mapper Component
"Display Mapper Entity successfully created",
"Display Mapper_test: Component added to the entity: True",
"Display Mapper_test: Component removed after UNDO: True",
"Display Mapper_test: Component added after REDO: True",
"Display Mapper_test: Entered game mode: True",
"Display Mapper_test: Exit game mode: True",
"Display Mapper_test: Entity is hidden: True",
"Display Mapper_test: Entity is shown: True",
"Display Mapper_test: Entity deleted: True",
"Display Mapper_test: UNDO entity deletion works: True",
"Display Mapper_test: REDO entity deletion works: True",
]
unexpected_lines = [
"Trace::Assert",
"Trace::Error",
"Traceback (most recent call last):",
]
hydra.launch_and_validate_results(
request,
TEST_DIRECTORY,
editor,
"hydra_AtomEditorComponents_AddedToEntity.py",
timeout=EDITOR_TIMEOUT,
expected_lines=expected_lines,
unexpected_lines=unexpected_lines,
halt_on_unexpected=True,
null_renderer=True,
cfg_args=cfg_args,
)
| [
37811,
198,
15269,
357,
66,
8,
25767,
669,
284,
262,
4946,
513,
35,
7117,
4935,
13,
198,
1890,
1844,
6634,
290,
5964,
2846,
3387,
766,
262,
38559,
24290,
379,
262,
6808,
286,
428,
6082,
13,
198,
198,
4303,
36227,
12,
34156,
12,
33234,
7483,
25,
24843,
12,
17,
13,
15,
6375,
17168,
198,
198,
13383,
18389,
5254,
329,
262,
33102,
9851,
11882,
13,
198,
37811,
198,
11748,
18931,
198,
11748,
28686,
198,
198,
11748,
12972,
9288,
198,
198,
11748,
5464,
62,
29412,
62,
9288,
62,
31391,
13,
15511,
430,
62,
9288,
62,
26791,
355,
25039,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
8,
198,
24706,
1581,
62,
34694,
12425,
796,
5867,
198,
51,
6465,
62,
17931,
23988,
15513,
796,
28686,
13,
6978,
13,
22179,
7,
418,
13,
6978,
13,
15908,
3672,
7,
834,
7753,
834,
828,
366,
37696,
62,
15511,
430,
62,
46521,
4943,
628,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7203,
16302,
1600,
14631,
38062,
515,
44154,
8973,
8,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7203,
38722,
2044,
62,
24254,
1600,
37250,
28457,
62,
35352,
6,
12962,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7203,
5715,
1600,
14631,
23736,
62,
9288,
8973,
8,
198,
4871,
6208,
2953,
296,
17171,
7293,
3906,
13383,
7,
15252,
2599,
198,
220,
220,
220,
37227,
39,
10119,
5254,
329,
33102,
6805,
526,
15931,
628,
220,
220,
220,
825,
1332,
62,
2953,
296,
17171,
7293,
3906,
62,
13003,
2514,
32398,
7,
944,
11,
2581,
11,
5464,
11,
1241,
11,
44573,
11,
1628,
11,
24008,
62,
24254,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
4222,
2423,
262,
25039,
4226,
1057,
416,
428,
1332,
329,
517,
2176,
1332,
7508,
13,
198,
220,
220,
220,
220,
220,
220,
220,
30307,
262,
1708,
33102,
6805,
290,
3326,
6945,
477,
366,
40319,
62,
6615,
1,
1656,
287,
12058,
13,
6404,
25,
198,
220,
220,
220,
220,
220,
220,
220,
352,
13,
16531,
337,
11463,
198,
220,
220,
220,
220,
220,
220,
220,
362,
13,
4401,
198,
220,
220,
220,
220,
220,
220,
220,
513,
13,
48838,
14331,
3401,
7483,
198,
220,
220,
220,
220,
220,
220,
220,
604,
13,
2947,
17213,
34398,
198,
220,
220,
220,
220,
220,
220,
220,
642,
13,
16331,
5274,
198,
220,
220,
220,
220,
220,
220,
220,
718,
13,
8060,
5274,
2971,
357,
40,
9148,
8,
198,
220,
220,
220,
220,
220,
220,
220,
767,
13,
39090,
6779,
198,
220,
220,
220,
220,
220,
220,
220,
807,
13,
41837,
282,
4401,
198,
220,
220,
220,
220,
220,
220,
220,
860,
13,
36350,
5189,
15878,
198,
220,
220,
220,
220,
220,
220,
220,
838,
13,
4280,
282,
357,
2953,
296,
8,
198,
220,
220,
220,
220,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
30218,
70,
62,
22046,
796,
685,
5715,
60,
628,
220,
220,
220,
220,
220,
220,
220,
2938,
62,
6615,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
4280,
282,
357,
2953,
296,
8,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
22741,
91,
38149,
91,
17518,
25,
13558,
4093,
7597,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
10707,
282,
357,
2953,
296,
8,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
36350,
5189,
15878,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
20885,
10058,
7317,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
20885,
9343,
706,
4375,
2672,
6805,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
22741,
91,
38149,
91,
35632,
20885,
25,
13558,
4093,
7597,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
48791,
5189,
15878,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
39090,
6779,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
20885,
10058,
7317,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
20885,
9343,
706,
4375,
2672,
6805,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
3109,
26205,
6779,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
8060,
5274,
2971,
357,
40,
9148,
8,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
22741,
91,
38149,
91,
28813,
1904,
7412,
25,
13558,
4093,
7597,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
22741,
91,
38149,
91,
5248,
10440,
7412,
25,
13558,
4093,
7597,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
22289,
5274,
2971,
357,
40,
9148,
8,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
16331,
5274,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
7515,
373,
2087,
284,
9312,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
32398,
468,
257,
16331,
5274,
7515,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
31611,
5274,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
2947,
17213,
34398,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
6307,
17213,
34398,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
48838,
14331,
3401,
7483,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15546,
3754,
14331,
3401,
7483,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
4401,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15047,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
16531,
337,
11463,
35100,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
20885,
7675,
2727,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
35100,
2087,
284,
262,
9312,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
35100,
4615,
706,
4725,
18227,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
35100,
2087,
706,
23848,
46,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
22542,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
29739,
983,
4235,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
20885,
318,
7104,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
20885,
318,
3402,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
20885,
13140,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
4725,
18227,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
23114,
337,
11463,
62,
9288,
25,
23848,
46,
9312,
39948,
2499,
25,
6407,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
628,
220,
220,
220,
220,
220,
220,
220,
10059,
62,
6615,
796,
685,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
2898,
558,
3712,
8021,
861,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
2898,
558,
3712,
12331,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
2898,
558,
1891,
357,
1712,
2274,
869,
938,
2599,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
2361,
628,
220,
220,
220,
220,
220,
220,
220,
25039,
13,
35681,
62,
392,
62,
12102,
378,
62,
43420,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2581,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
43001,
62,
17931,
23988,
15513,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5464,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
366,
15511,
430,
62,
2953,
296,
17171,
7293,
3906,
62,
13003,
2514,
32398,
13,
9078,
1600,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26827,
28,
24706,
1581,
62,
34694,
12425,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2938,
62,
6615,
28,
40319,
62,
6615,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
10059,
62,
6615,
28,
403,
40319,
62,
6615,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17369,
62,
261,
62,
403,
40319,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
9242,
62,
10920,
11882,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
30218,
70,
62,
22046,
28,
37581,
62,
22046,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1267,
198
] | 2.445055 | 3,822 |
# The MIT License (MIT)
#
# Copyright (c) 2013 Brad Ruderman
# Copyright (c) 2014 Paul Colomiets
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import asyncio
from .lowlevel.TCLIService.ttypes import TFetchResultsReq
from .lowlevel.TCLIService.ttypes import TGetResultSetMetadataReq
from .lowlevel.TCLIService.ttypes import TExecuteStatementReq
from .lowlevel.TCLIService.ttypes import TFetchOrientation, TCloseOperationReq
from .lowlevel.TCLIService.ttypes import TGetSchemasReq, TTypeId
from .error import Pyhs2Exception
| [
2,
383,
17168,
13789,
357,
36393,
8,
198,
2,
198,
2,
15069,
357,
66,
8,
2211,
8114,
17421,
2224,
198,
2,
15069,
357,
66,
8,
1946,
3362,
1623,
12753,
1039,
198,
2,
198,
2,
2448,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
198,
2,
286,
428,
3788,
290,
3917,
10314,
3696,
357,
1169,
366,
25423,
12340,
284,
1730,
198,
2,
287,
262,
10442,
1231,
17504,
11,
1390,
1231,
17385,
262,
2489,
198,
2,
284,
779,
11,
4866,
11,
13096,
11,
20121,
11,
7715,
11,
14983,
11,
850,
43085,
11,
290,
14,
273,
3677,
198,
2,
9088,
286,
262,
10442,
11,
290,
284,
8749,
6506,
284,
4150,
262,
10442,
318,
198,
2,
30760,
284,
466,
523,
11,
2426,
284,
262,
1708,
3403,
25,
198,
2,
198,
2,
383,
2029,
6634,
4003,
290,
428,
7170,
4003,
2236,
307,
3017,
287,
198,
2,
477,
9088,
393,
8904,
16690,
286,
262,
10442,
13,
198,
2,
198,
2,
3336,
47466,
3180,
36592,
2389,
1961,
366,
1921,
3180,
1600,
42881,
34764,
56,
3963,
15529,
509,
12115,
11,
7788,
32761,
6375,
198,
2,
8959,
49094,
11,
47783,
2751,
21728,
5626,
40880,
5390,
3336,
34764,
11015,
3963,
34482,
3398,
1565,
5603,
25382,
11,
198,
2,
376,
46144,
7473,
317,
16652,
2149,
37232,
33079,
48933,
5357,
44521,
1268,
10913,
2751,
12529,
13,
3268,
8005,
49261,
50163,
3336,
198,
2,
37195,
20673,
6375,
27975,
38162,
9947,
367,
15173,
4877,
9348,
43031,
19146,
7473,
15529,
47666,
3955,
11,
29506,
25552,
6375,
25401,
198,
2,
43031,
25382,
11,
7655,
2767,
16879,
3268,
3537,
40282,
3963,
27342,
10659,
11,
309,
9863,
6375,
25401,
54,
24352,
11,
5923,
1797,
2751,
16034,
11,
198,
2,
16289,
3963,
6375,
3268,
7102,
45,
24565,
13315,
3336,
47466,
6375,
3336,
23210,
6375,
25401,
5550,
1847,
20754,
3268,
3336,
198,
2,
47466,
13,
198,
198,
11748,
30351,
952,
198,
198,
6738,
764,
9319,
5715,
13,
4825,
43,
1797,
712,
501,
13,
83,
19199,
1330,
24958,
7569,
25468,
3041,
80,
198,
6738,
764,
9319,
5715,
13,
4825,
43,
1797,
712,
501,
13,
83,
19199,
1330,
309,
3855,
23004,
7248,
9171,
14706,
3041,
80,
198,
6738,
764,
9319,
5715,
13,
4825,
43,
1797,
712,
501,
13,
83,
19199,
1330,
309,
23002,
1133,
48682,
3041,
80,
198,
6738,
764,
9319,
5715,
13,
4825,
43,
1797,
712,
501,
13,
83,
19199,
1330,
24958,
7569,
46,
8289,
341,
11,
309,
26125,
32180,
3041,
80,
198,
6738,
764,
9319,
5715,
13,
4825,
43,
1797,
712,
501,
13,
83,
19199,
1330,
309,
3855,
27054,
5356,
3041,
80,
11,
309,
6030,
7390,
198,
198,
6738,
764,
18224,
1330,
9485,
11994,
17,
16922,
628,
198
] | 3.535632 | 435 |
# Standard modules
import numpy as np
import random
import pandas as pd
from flask import Flask, request, render_template
# Scikit Learn modules
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import RandomizedSearchCV
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder, LabelEncoder, StandardScaler
from sklearn.metrics import f1_score
from sklearn.compose import ColumnTransformer
model = None
app = Flask(__name__)
# Load index page
@app.route('/')
@app.route('/submit', methods=['GET', 'POST'])
# Run app
if __name__ == '__main__':
app.run(debug=True, host='0.0.0.0', port=80) | [
2,
8997,
13103,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
4738,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
42903,
1330,
46947,
11,
2581,
11,
8543,
62,
28243,
198,
198,
2,
10286,
15813,
14365,
13103,
198,
6738,
1341,
35720,
13,
1072,
11306,
1330,
14534,
34605,
9487,
7483,
198,
6738,
1341,
35720,
13,
19849,
62,
49283,
1330,
14534,
1143,
18243,
33538,
198,
6738,
1341,
35720,
13,
79,
541,
4470,
1330,
37709,
198,
6738,
1341,
35720,
13,
3866,
36948,
1330,
1881,
21352,
27195,
12342,
11,
36052,
27195,
12342,
11,
8997,
3351,
36213,
198,
6738,
1341,
35720,
13,
4164,
10466,
1330,
277,
16,
62,
26675,
198,
6738,
1341,
35720,
13,
785,
3455,
1330,
29201,
8291,
16354,
198,
198,
19849,
796,
6045,
198,
1324,
796,
46947,
7,
834,
3672,
834,
8,
198,
198,
2,
8778,
6376,
2443,
198,
31,
1324,
13,
38629,
10786,
14,
11537,
628,
198,
31,
1324,
13,
38629,
10786,
14,
46002,
3256,
5050,
28,
17816,
18851,
3256,
705,
32782,
6,
12962,
198,
198,
2,
5660,
598,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
220,
598,
13,
5143,
7,
24442,
28,
17821,
11,
2583,
11639,
15,
13,
15,
13,
15,
13,
15,
3256,
2493,
28,
1795,
8
] | 3.214634 | 205 |
n=int(input())
sum=0.0
for i in range(1,n+1):
sum += float(float(i)/(i+1))
print(sum)
| [
77,
28,
600,
7,
15414,
28955,
198,
16345,
28,
15,
13,
15,
198,
1640,
1312,
287,
2837,
7,
16,
11,
77,
10,
16,
2599,
198,
220,
220,
220,
2160,
15853,
12178,
7,
22468,
7,
72,
20679,
7,
72,
10,
16,
4008,
198,
4798,
7,
16345,
8,
198
] | 1.914894 | 47 |
"""
@Author : dilless
@Time : 2018/6/25 22:46
@File : paper_download.py
"""
import os
import re
from datetime import datetime
import MySQLdb
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
if __name__ == '__main__':
db = MySQLAccess()
down = DownloadPaper()
urls = db.get_urls()
for url in urls:
page_url = url[0]
down.download_paper(page_url)
db.update_is_down_status(page_url)
| [
37811,
198,
198,
31,
13838,
220,
1058,
288,
359,
408,
198,
31,
7575,
220,
220,
220,
1058,
2864,
14,
21,
14,
1495,
2534,
25,
3510,
198,
31,
8979,
220,
220,
220,
1058,
3348,
62,
15002,
13,
9078,
198,
37811,
198,
11748,
28686,
198,
11748,
302,
198,
6738,
4818,
8079,
1330,
4818,
8079,
198,
198,
11748,
33476,
9945,
198,
6738,
384,
11925,
1505,
1330,
3992,
26230,
198,
6738,
384,
11925,
1505,
13,
11321,
13,
1069,
11755,
1330,
1400,
16678,
20180,
16922,
628,
628,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
20613,
796,
33476,
15457,
3419,
198,
220,
220,
220,
866,
796,
10472,
42950,
3419,
198,
220,
220,
220,
2956,
7278,
796,
20613,
13,
1136,
62,
6371,
82,
3419,
198,
220,
220,
220,
329,
19016,
287,
2956,
7278,
25,
198,
220,
220,
220,
220,
220,
220,
220,
2443,
62,
6371,
796,
19016,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
866,
13,
15002,
62,
20189,
7,
7700,
62,
6371,
8,
198,
220,
220,
220,
220,
220,
220,
220,
20613,
13,
19119,
62,
271,
62,
2902,
62,
13376,
7,
7700,
62,
6371,
8,
198
] | 2.484375 | 192 |
from api.strings import id_key, type_key, name_key
from api.ver1.offices.strings import loc_gov_type, mca, state_type, gov, leg_type, prezzo, fed_type, sen
political_offices = [ { id_key: 1, type_key: loc_gov_type, name_key: mca}, { id_key: 2, type_key: state_type, name_key: prezzo }, { id_key: 3, type_key: fed_type, name_key: sen }, { id_key: 3, type_key: leg_type, name_key: gov } ]
| [
6738,
40391,
13,
37336,
1330,
4686,
62,
2539,
11,
2099,
62,
2539,
11,
1438,
62,
2539,
198,
6738,
40391,
13,
332,
16,
13,
2364,
1063,
13,
37336,
1330,
1179,
62,
9567,
62,
4906,
11,
285,
6888,
11,
1181,
62,
4906,
11,
467,
85,
11,
1232,
62,
4906,
11,
662,
47802,
11,
11672,
62,
4906,
11,
3308,
198,
198,
23149,
62,
2364,
1063,
796,
685,
1391,
4686,
62,
2539,
25,
352,
11,
2099,
62,
2539,
25,
1179,
62,
9567,
62,
4906,
11,
1438,
62,
2539,
25,
285,
6888,
5512,
1391,
4686,
62,
2539,
25,
362,
11,
2099,
62,
2539,
25,
1181,
62,
4906,
11,
1438,
62,
2539,
25,
662,
47802,
8964,
1391,
4686,
62,
2539,
25,
513,
11,
2099,
62,
2539,
25,
11672,
62,
4906,
11,
1438,
62,
2539,
25,
3308,
8964,
1391,
4686,
62,
2539,
25,
513,
11,
2099,
62,
2539,
25,
1232,
62,
4906,
11,
1438,
62,
2539,
25,
467,
85,
1782,
2361,
198
] | 2.503226 | 155 |
import radio
import random
from microbit import display, Image, button_a, sleep
# Création de la liste "flash" contenant les images de l'animation
# Comprends-tu comment ça fonctionne ?
flash = [Image().invert()*(i/9) for i in range(9, -1, -1)]
# La radio ne marchera pas sauf si on l'allume !
radio.on()
# Boucle événementielle.
while True:
# Le bouton A envoie un message "flash"
if button_a.was_pressed():
radio.send('flash') # a-ha
# On lit tous les messages entrant
incoming = radio.receive()
if incoming == 'flash':
# Si il y a un message "flash" entrant
# on affiche l'animation du flash de luciole après une petite
# pause de durée aléatoire.
sleep(random.randint(50, 350))
display.show(flash, delay=100, wait=False)
# On re-diffuse aléatoirement le message flash après une petite
# pause
if random.randint(0, 9) == 0:
sleep(500)
radio.send('flash') # a-ha | [
11748,
5243,
198,
11748,
4738,
198,
6738,
4580,
2545,
1330,
3359,
11,
7412,
11,
4936,
62,
64,
11,
3993,
198,
198,
2,
3864,
2634,
341,
390,
8591,
1351,
68,
366,
34167,
1,
542,
268,
415,
10287,
4263,
390,
300,
6,
11227,
341,
198,
2,
3082,
10920,
82,
12,
28047,
2912,
6184,
100,
64,
277,
261,
596,
710,
5633,
198,
34167,
796,
685,
5159,
22446,
259,
1851,
3419,
9,
7,
72,
14,
24,
8,
329,
1312,
287,
2837,
7,
24,
11,
532,
16,
11,
532,
16,
15437,
198,
198,
2,
4689,
5243,
497,
1667,
2044,
64,
38836,
473,
3046,
33721,
319,
300,
6,
439,
2454,
5145,
198,
37004,
13,
261,
3419,
198,
198,
2,
14551,
2375,
38251,
85,
35942,
972,
8207,
293,
13,
198,
4514,
6407,
25,
198,
220,
220,
220,
1303,
1004,
18222,
261,
317,
551,
13038,
494,
555,
3275,
366,
34167,
1,
198,
220,
220,
220,
611,
4936,
62,
64,
13,
9776,
62,
45477,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
5243,
13,
21280,
10786,
34167,
11537,
220,
1303,
257,
12,
3099,
198,
220,
220,
220,
1303,
1550,
6578,
256,
516,
10287,
6218,
920,
5250,
198,
220,
220,
220,
15619,
796,
5243,
13,
260,
15164,
3419,
198,
220,
220,
220,
611,
15619,
6624,
705,
34167,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
15638,
4229,
331,
257,
555,
3275,
366,
34167,
1,
920,
5250,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
319,
1527,
14234,
300,
6,
11227,
341,
7043,
7644,
390,
17115,
952,
293,
46593,
14064,
82,
17809,
4273,
578,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
14985,
390,
22365,
22161,
435,
2634,
5549,
557,
13,
198,
220,
220,
220,
220,
220,
220,
220,
3993,
7,
25120,
13,
25192,
600,
7,
1120,
11,
13803,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
3359,
13,
12860,
7,
34167,
11,
5711,
28,
3064,
11,
4043,
28,
25101,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
1550,
302,
12,
26069,
1904,
435,
2634,
5549,
24615,
443,
3275,
7644,
46593,
14064,
82,
17809,
4273,
578,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
14985,
198,
220,
220,
220,
220,
220,
220,
220,
611,
4738,
13,
25192,
600,
7,
15,
11,
860,
8,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3993,
7,
4059,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
5243,
13,
21280,
10786,
34167,
11537,
220,
1303,
257,
12,
3099
] | 2.384988 | 413 |
from otree.api import *
doc = """
Random number of rounds for multiplayer (random stopping rule)
"""
# PAGES
page_sequence = [MyPage, ResultsWaitPage, Results]
| [
6738,
267,
21048,
13,
15042,
1330,
1635,
628,
198,
15390,
796,
37227,
198,
29531,
1271,
286,
9196,
329,
16913,
357,
25120,
12225,
3896,
8,
198,
37811,
628,
628,
628,
198,
198,
2,
350,
25552,
628,
628,
198,
7700,
62,
43167,
796,
685,
3666,
9876,
11,
15691,
21321,
9876,
11,
15691,
60,
198
] | 3.326923 | 52 |
import csv
import math
training_dataset = []
training_labels = []
test_dataset = []
test_labels = []
# Populate training and test sets
with open('iris_training.csv', 'rU') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', dialect=csv.excel_tab)
for row in spamreader:
training_dataset.append([ float(row[3]), float(row[2]), float(row[1]), float(row[0]) ])
training_labels.append(row[4])
with open('iris_test.csv', 'rU') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', dialect=csv.excel_tab)
for row in spamreader:
test_dataset.append([ float(row[3]), float(row[2]), float(row[1]), float(row[0]) ])
test_labels.append(row[4])
print('1 NN Label Actual Label')
# Classify and compare with actual label
for i in range(len(test_dataset)):
test_instance = test_dataset[i]
distances = []
for j in range(len(training_dataset)):
distances.append(euclideanDistance(test_instance, training_dataset[j]))
print(training_labels[distances.index(min(distances))], test_labels[i]) | [
11748,
269,
21370,
198,
11748,
10688,
198,
198,
34409,
62,
19608,
292,
316,
796,
17635,
198,
34409,
62,
23912,
1424,
796,
17635,
198,
198,
9288,
62,
19608,
292,
316,
796,
17635,
198,
9288,
62,
23912,
1424,
796,
17635,
198,
198,
2,
8099,
5039,
3047,
290,
1332,
5621,
198,
4480,
1280,
10786,
29616,
62,
34409,
13,
40664,
3256,
705,
81,
52,
11537,
355,
269,
21370,
7753,
25,
198,
220,
18084,
46862,
796,
269,
21370,
13,
46862,
7,
40664,
7753,
11,
46728,
2676,
28,
3256,
3256,
23637,
28,
40664,
13,
1069,
5276,
62,
8658,
8,
198,
220,
329,
5752,
287,
18084,
46862,
25,
198,
220,
220,
220,
3047,
62,
19608,
292,
316,
13,
33295,
26933,
12178,
7,
808,
58,
18,
46570,
12178,
7,
808,
58,
17,
46570,
12178,
7,
808,
58,
16,
46570,
12178,
7,
808,
58,
15,
12962,
33761,
198,
220,
220,
220,
3047,
62,
23912,
1424,
13,
33295,
7,
808,
58,
19,
12962,
198,
198,
4480,
1280,
10786,
29616,
62,
9288,
13,
40664,
3256,
705,
81,
52,
11537,
355,
269,
21370,
7753,
25,
198,
220,
18084,
46862,
796,
269,
21370,
13,
46862,
7,
40664,
7753,
11,
46728,
2676,
28,
3256,
3256,
23637,
28,
40664,
13,
1069,
5276,
62,
8658,
8,
198,
220,
329,
5752,
287,
18084,
46862,
25,
198,
220,
220,
220,
1332,
62,
19608,
292,
316,
13,
33295,
26933,
12178,
7,
808,
58,
18,
46570,
12178,
7,
808,
58,
17,
46570,
12178,
7,
808,
58,
16,
46570,
12178,
7,
808,
58,
15,
12962,
33761,
198,
220,
220,
220,
1332,
62,
23912,
1424,
13,
33295,
7,
808,
58,
19,
12962,
628,
198,
4798,
10786,
16,
399,
45,
36052,
33520,
36052,
11537,
198,
198,
2,
5016,
1958,
290,
8996,
351,
4036,
6167,
198,
1640,
1312,
287,
2837,
7,
11925,
7,
9288,
62,
19608,
292,
316,
8,
2599,
198,
220,
1332,
62,
39098,
796,
1332,
62,
19608,
292,
316,
58,
72,
60,
198,
220,
18868,
796,
17635,
198,
220,
329,
474,
287,
2837,
7,
11925,
7,
34409,
62,
19608,
292,
316,
8,
2599,
198,
220,
220,
220,
18868,
13,
33295,
7,
12496,
565,
485,
272,
45767,
7,
9288,
62,
39098,
11,
3047,
62,
19608,
292,
316,
58,
73,
60,
4008,
628,
220,
3601,
7,
34409,
62,
23912,
1424,
58,
17080,
1817,
13,
9630,
7,
1084,
7,
17080,
1817,
4008,
4357,
1332,
62,
23912,
1424,
58,
72,
12962
] | 2.672727 | 385 |
#
# PySNMP MIB module Wellfleet-DVMRP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Wellfleet-DVMRP-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:33:21 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ValueSizeConstraint, ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsIntersection", "ConstraintsUnion", "ValueRangeConstraint")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
ModuleIdentity, Integer32, NotificationType, Counter32, Bits, Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, iso, IpAddress, Counter64, Gauge32, TimeTicks, ObjectIdentity, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "ModuleIdentity", "Integer32", "NotificationType", "Counter32", "Bits", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "IpAddress", "Counter64", "Gauge32", "TimeTicks", "ObjectIdentity", "MibIdentifier")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
wfDvmrpGroup, = mibBuilder.importSymbols("Wellfleet-COMMON-MIB", "wfDvmrpGroup")
wfDvmrpBase = MibIdentifier((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1))
wfDvmrpBaseCreate = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("created", 1), ("deleted", 2))).clone('created')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseCreate.setStatus('mandatory')
wfDvmrpBaseEnable = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseEnable.setStatus('mandatory')
wfDvmrpBaseState = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("up", 1), ("down", 2), ("init", 3), ("notpres", 4))).clone('notpres')).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpBaseState.setStatus('mandatory')
wfDvmrpBaseFullUpdateInterval = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 2000)).clone(60)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseFullUpdateInterval.setStatus('mandatory')
wfDvmrpBaseTriggeredUpdateInterval = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(5, 1000)).clone(5)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseTriggeredUpdateInterval.setStatus('mandatory')
wfDvmrpBaseLeafTimeout = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(25, 4000)).clone(200)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseLeafTimeout.setStatus('mandatory')
wfDvmrpBaseNeighborTimeout = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(35, 8000)).clone(35)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseNeighborTimeout.setStatus('mandatory')
wfDvmrpBaseRouteExpirationTimeout = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(20, 4000)).clone(140)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseRouteExpirationTimeout.setStatus('mandatory')
wfDvmrpBaseGarbageTimeout = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(40, 8000)).clone(260)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseGarbageTimeout.setStatus('mandatory')
wfDvmrpBaseEstimatedRoutes = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 2147483647)).clone(25)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseEstimatedRoutes.setStatus('mandatory')
wfDvmrpBaseNeighborProbeInterval = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(5, 30)).clone(10)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseNeighborProbeInterval.setStatus('mandatory')
wfDvmrpBaseRouteSwitchTimeout = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 12), Integer32().subtype(subtypeSpec=ValueRangeConstraint(20, 2000)).clone(140)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseRouteSwitchTimeout.setStatus('mandatory')
wfDvmrpBaseActualRoutes = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 13), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpBaseActualRoutes.setStatus('mandatory')
wfDvmrpBaseDebugLevel = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 14), Gauge32().subtype(subtypeSpec=ValueRangeConstraint(0, 4294967295)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseDebugLevel.setStatus('mandatory')
wfDvmrpBasePruningEnable = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBasePruningEnable.setStatus('mandatory')
wfDvmrpBaseFragmentMtuThreshold = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 16), Integer32().subtype(subtypeSpec=ValueRangeConstraint(910, 2147483647)).clone(1514)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseFragmentMtuThreshold.setStatus('obsolete')
wfDvmrpBaseMaxRoutes = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 17), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseMaxRoutes.setStatus('mandatory')
wfDvmrpBasePolicyEnable = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBasePolicyEnable.setStatus('obsolete')
wfDvmrpBaseHolddownEnable = MibScalar((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 1, 19), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpBaseHolddownEnable.setStatus('mandatory')
wfDvmrpCircuitEntryTable = MibTable((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2), )
if mibBuilder.loadTexts: wfDvmrpCircuitEntryTable.setStatus('mandatory')
wfDvmrpCircuitEntry = MibTableRow((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1), ).setIndexNames((0, "Wellfleet-DVMRP-MIB", "wfDvmrpCircuitCCT"))
if mibBuilder.loadTexts: wfDvmrpCircuitEntry.setStatus('mandatory')
wfDvmrpCircuitCreate = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("created", 1), ("deleted", 2))).clone('created')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitCreate.setStatus('mandatory')
wfDvmrpCircuitEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitEnable.setStatus('mandatory')
wfDvmrpCircuitState = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("up", 1), ("down", 2), ("init", 3), ("invalid", 4), ("notpres", 5))).clone('notpres')).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitState.setStatus('mandatory')
wfDvmrpCircuitCCT = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitCCT.setStatus('mandatory')
wfDvmrpCircuitRouteEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitRouteEnable.setStatus('mandatory')
wfDvmrpCircuitMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 31)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitMetric.setStatus('mandatory')
wfDvmrpCircuitRouteThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 254)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitRouteThreshold.setStatus('mandatory')
wfDvmrpCircuitInPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitInPkts.setStatus('mandatory')
wfDvmrpCircuitOutPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitOutPkts.setStatus('mandatory')
wfDvmrpCircuitInRouteUpdates = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitInRouteUpdates.setStatus('mandatory')
wfDvmrpCircuitOutRouteUpdates = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitOutRouteUpdates.setStatus('mandatory')
wfDvmrpCircuitInPktDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitInPktDiscards.setStatus('mandatory')
wfDvmrpCircuitOutPktDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 13), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitOutPktDiscards.setStatus('mandatory')
wfDvmrpCircuitFwdCacheSize = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(32, 512)).clone(32)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitFwdCacheSize.setStatus('mandatory')
wfDvmrpCircuitFwdCacheTTL = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 86400)).clone(7200)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitFwdCacheTTL.setStatus('mandatory')
wfDvmrpCircuitAdvertiseSelf = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitAdvertiseSelf.setStatus('mandatory')
wfDvmrpCircuitFwdCacheEntries = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 17), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitFwdCacheEntries.setStatus('mandatory')
wfDvmrpCircuitInPrunePkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 18), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitInPrunePkts.setStatus('mandatory')
wfDvmrpCircuitOutPrunePkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 19), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitOutPrunePkts.setStatus('mandatory')
wfDvmrpCircuitInGraftPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 20), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitInGraftPkts.setStatus('mandatory')
wfDvmrpCircuitOutGraftPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 21), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitOutGraftPkts.setStatus('mandatory')
wfDvmrpCircuitInGraftAckPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 22), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitInGraftAckPkts.setStatus('mandatory')
wfDvmrpCircuitOutGraftAckPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 23), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitOutGraftAckPkts.setStatus('mandatory')
wfDvmrpCircuitDefaultRouteSupply = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 24), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2), ("generate", 3))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitDefaultRouteSupply.setStatus('mandatory')
wfDvmrpCircuitDefaultRouteListen = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 25), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitDefaultRouteListen.setStatus('mandatory')
wfDvmrpCircuitReportDependProbe = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 26), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitReportDependProbe.setStatus('mandatory')
wfDvmrpCircuitPruneLifeTime = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 27), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 86400)).clone(7200)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpCircuitPruneLifeTime.setStatus('mandatory')
wfDvmrpCircuitAcceptAggregateRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 28), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitAcceptAggregateRoutes.setStatus('mandatory')
wfDvmrpCircuitAnnounceAggregatedRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 2, 1, 29), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpCircuitAnnounceAggregatedRoutes.setStatus('mandatory')
wfDvmrpTunnelEntryTable = MibTable((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3), )
if mibBuilder.loadTexts: wfDvmrpTunnelEntryTable.setStatus('mandatory')
wfDvmrpTunnelEntry = MibTableRow((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1), ).setIndexNames((0, "Wellfleet-DVMRP-MIB", "wfDvmrpTunnelCCT"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpTunnelLocalRouterIpAddress"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpTunnelRemoteRouterIpAddress"))
if mibBuilder.loadTexts: wfDvmrpTunnelEntry.setStatus('mandatory')
wfDvmrpTunnelCreate = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("created", 1), ("deleted", 2))).clone('created')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelCreate.setStatus('mandatory')
wfDvmrpTunnelEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelEnable.setStatus('mandatory')
wfDvmrpTunnelState = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("up", 1), ("down", 2), ("init", 3), ("invalid", 4), ("notpres", 5))).clone('notpres')).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelState.setStatus('mandatory')
wfDvmrpTunnelCCT = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelCCT.setStatus('mandatory')
wfDvmrpTunnelRemoteRouterIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 5), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelRemoteRouterIpAddress.setStatus('mandatory')
wfDvmrpTunnelEncapsMode = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ip-in-ip", 1), ("lssr", 2))).clone('ip-in-ip')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelEncapsMode.setStatus('mandatory')
wfDvmrpTunnelMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 31)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelMetric.setStatus('mandatory')
wfDvmrpTunnelThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 254)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelThreshold.setStatus('mandatory')
wfDvmrpTunnelInPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelInPkts.setStatus('mandatory')
wfDvmrpTunnelOutPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelOutPkts.setStatus('mandatory')
wfDvmrpTunnelInRouteUpdates = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelInRouteUpdates.setStatus('mandatory')
wfDvmrpTunnelOutRouteUpdates = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelOutRouteUpdates.setStatus('mandatory')
wfDvmrpTunnelInPktDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 13), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelInPktDiscards.setStatus('mandatory')
wfDvmrpTunnelOutPktDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 14), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelOutPktDiscards.setStatus('mandatory')
wfDvmrpTunnelLocalRouterIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 15), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelLocalRouterIpAddress.setStatus('mandatory')
wfDvmrpTunnelFwdCacheSize = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 16), Integer32().subtype(subtypeSpec=ValueRangeConstraint(32, 512)).clone(32)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelFwdCacheSize.setStatus('mandatory')
wfDvmrpTunnelFwdCacheTTL = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 17), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 86400)).clone(7200)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelFwdCacheTTL.setStatus('mandatory')
wfDvmrpTunnelFwdCacheEntries = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 18), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelFwdCacheEntries.setStatus('mandatory')
wfDvmrpTunnelInPrunePkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 19), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelInPrunePkts.setStatus('mandatory')
wfDvmrpTunnelOutPrunePkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 20), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelOutPrunePkts.setStatus('mandatory')
wfDvmrpTunnelInGraftPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 21), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelInGraftPkts.setStatus('mandatory')
wfDvmrpTunnelOutGraftPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 22), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelOutGraftPkts.setStatus('mandatory')
wfDvmrpTunnelInGraftAckPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 23), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelInGraftAckPkts.setStatus('mandatory')
wfDvmrpTunnelOutGraftAckPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 24), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelOutGraftAckPkts.setStatus('mandatory')
wfDvmrpTunnelDefaultRouteSupply = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 25), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2), ("generate", 3))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelDefaultRouteSupply.setStatus('mandatory')
wfDvmrpTunnelDefaultRouteListen = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 26), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelDefaultRouteListen.setStatus('mandatory')
wfDvmrpTunnelCtrlMsgMode = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 27), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("native", 1), ("ip-in-ip", 2))).clone('native')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelCtrlMsgMode.setStatus('mandatory')
wfDvmrpTunnelReportDependProbe = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 28), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelReportDependProbe.setStatus('mandatory')
wfDvmrpTunnelPruneLifeTime = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 29), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 86400)).clone(7200)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfDvmrpTunnelPruneLifeTime.setStatus('mandatory')
wfDvmrpTunnelAcceptAggregateRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 30), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelAcceptAggregateRoutes.setStatus('mandatory')
wfDvmrpTunnelAnnounceAggregatedRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 3, 1, 31), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpTunnelAnnounceAggregatedRoutes.setStatus('mandatory')
wfDvmrpRouteEntryTable = MibTable((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4), )
if mibBuilder.loadTexts: wfDvmrpRouteEntryTable.setStatus('mandatory')
wfDvmrpRouteEntry = MibTableRow((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1), ).setIndexNames((0, "Wellfleet-DVMRP-MIB", "wfDvmrpRouteSourceNetwork"))
if mibBuilder.loadTexts: wfDvmrpRouteEntry.setStatus('mandatory')
wfDvmrpRouteSourceNetwork = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 1), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteSourceNetwork.setStatus('mandatory')
wfDvmrpRouteSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteSourceMask.setStatus('mandatory')
wfDvmrpRouteNextHopRouter = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 3), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteNextHopRouter.setStatus('mandatory')
wfDvmrpRouteNextHopInterfaceCCT = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteNextHopInterfaceCCT.setStatus('mandatory')
wfDvmrpRouteNextHopInterfaceTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 5), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteNextHopInterfaceTunnelId.setStatus('mandatory')
wfDvmrpRouteNextHopInterfaceLocalTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 6), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteNextHopInterfaceLocalTunnelId.setStatus('mandatory')
wfDvmrpRouteTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteTimer.setStatus('mandatory')
wfDvmrpRouteState = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteState.setStatus('mandatory')
wfDvmrpRouteMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteMetric.setStatus('mandatory')
wfDvmrpRouteProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteProtocol.setStatus('mandatory')
wfDvmrpRouteType = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteType.setStatus('mandatory')
wfDvmrpRouteAggregatedType = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 4, 1, 12), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteAggregatedType.setStatus('mandatory')
wfDvmrpRouteInterfaceEntryTable = MibTable((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5), )
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceEntryTable.setStatus('mandatory')
wfDvmrpRouteInterfaceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1), ).setIndexNames((0, "Wellfleet-DVMRP-MIB", "wfDvmrpRouteInterfaceSourceNetwork"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpRouteInterfaceParentCCT"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpRouteInterfaceParentLocalTunnelId"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpRouteInterfaceParentTunnelId"))
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceEntry.setStatus('mandatory')
wfDvmrpRouteInterfaceSourceNetwork = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 1), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceSourceNetwork.setStatus('mandatory')
wfDvmrpRouteInterfaceSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceSourceMask.setStatus('mandatory')
wfDvmrpRouteInterfaceNextHopInterfaceCCT = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceNextHopInterfaceCCT.setStatus('mandatory')
wfDvmrpRouteInterfaceNextHopInterfaceLocalTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 4), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceNextHopInterfaceLocalTunnelId.setStatus('mandatory')
wfDvmrpRouteInterfaceNextHopInterfaceTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 5), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceNextHopInterfaceTunnelId.setStatus('mandatory')
wfDvmrpRouteInterfaceState = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceState.setStatus('mandatory')
wfDvmrpRouteInterfaceDominantRouter = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 7), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceDominantRouter.setStatus('mandatory')
wfDvmrpRouteInterfaceSubordinateRouter = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 8), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceSubordinateRouter.setStatus('mandatory')
wfDvmrpRouteInterfaceHoldDownTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceHoldDownTimer.setStatus('mandatory')
wfDvmrpRouteInterfaceSPInDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceSPInDiscards.setStatus('obsolete')
wfDvmrpRouteInterfaceSPOutDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceSPOutDiscards.setStatus('obsolete')
wfDvmrpRouteInterfaceThresholdOutDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceThresholdOutDiscards.setStatus('obsolete')
wfDvmrpRouteInterfaceInSuccessfulPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 13), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceInSuccessfulPkts.setStatus('obsolete')
wfDvmrpRouteInterfaceOutSuccessfulPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 14), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceOutSuccessfulPkts.setStatus('obsolete')
wfDvmrpRouteInterfaceParentCCT = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 15), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceParentCCT.setStatus('mandatory')
wfDvmrpRouteInterfaceParentLocalTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 16), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceParentLocalTunnelId.setStatus('mandatory')
wfDvmrpRouteInterfaceParentTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 5, 1, 17), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpRouteInterfaceParentTunnelId.setStatus('mandatory')
wfDvmrpNeighboringRouterEntryTable = MibTable((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6), )
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterEntryTable.setStatus('mandatory')
wfDvmrpNeighboringRouterEntry = MibTableRow((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1), ).setIndexNames((0, "Wellfleet-DVMRP-MIB", "wfDvmrpNeighboringRouterCCT"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpNeighboringRouterLocalTunnelId"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpNeighboringRouterTunnelId"), (0, "Wellfleet-DVMRP-MIB", "wfDvmrpNeighboringRouterIpAddr"))
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterEntry.setStatus('mandatory')
wfDvmrpNeighboringRouterCCT = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterCCT.setStatus('mandatory')
wfDvmrpNeighboringRouterLocalTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterLocalTunnelId.setStatus('mandatory')
wfDvmrpNeighboringRouterTunnelId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 3), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterTunnelId.setStatus('mandatory')
wfDvmrpNeighboringRouterIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 4), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterIpAddr.setStatus('mandatory')
wfDvmrpNeighboringRouterState = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterState.setStatus('mandatory')
wfDvmrpNeighboringRouterTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterTimer.setStatus('mandatory')
wfDvmrpNeighboringRouterGenId = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterGenId.setStatus('mandatory')
wfDvmrpNeighboringRouterMajorVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterMajorVersion.setStatus('mandatory')
wfDvmrpNeighboringRouterMinorVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterMinorVersion.setStatus('mandatory')
wfDvmrpNeighboringRouterCapabilities = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 3, 12, 6, 1, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfDvmrpNeighboringRouterCapabilities.setStatus('mandatory')
mibBuilder.exportSymbols("Wellfleet-DVMRP-MIB", wfDvmrpBaseFullUpdateInterval=wfDvmrpBaseFullUpdateInterval, wfDvmrpRouteInterfaceNextHopInterfaceLocalTunnelId=wfDvmrpRouteInterfaceNextHopInterfaceLocalTunnelId, wfDvmrpNeighboringRouterIpAddr=wfDvmrpNeighboringRouterIpAddr, wfDvmrpCircuitDefaultRouteSupply=wfDvmrpCircuitDefaultRouteSupply, wfDvmrpTunnelOutPrunePkts=wfDvmrpTunnelOutPrunePkts, wfDvmrpNeighboringRouterCCT=wfDvmrpNeighboringRouterCCT, wfDvmrpBaseFragmentMtuThreshold=wfDvmrpBaseFragmentMtuThreshold, wfDvmrpRouteAggregatedType=wfDvmrpRouteAggregatedType, wfDvmrpRouteInterfaceHoldDownTimer=wfDvmrpRouteInterfaceHoldDownTimer, wfDvmrpCircuitEnable=wfDvmrpCircuitEnable, wfDvmrpTunnelDefaultRouteSupply=wfDvmrpTunnelDefaultRouteSupply, wfDvmrpRouteInterfaceSubordinateRouter=wfDvmrpRouteInterfaceSubordinateRouter, wfDvmrpNeighboringRouterEntry=wfDvmrpNeighboringRouterEntry, wfDvmrpTunnelFwdCacheTTL=wfDvmrpTunnelFwdCacheTTL, wfDvmrpBasePolicyEnable=wfDvmrpBasePolicyEnable, wfDvmrpRouteSourceMask=wfDvmrpRouteSourceMask, wfDvmrpCircuitOutGraftAckPkts=wfDvmrpCircuitOutGraftAckPkts, wfDvmrpRouteInterfaceState=wfDvmrpRouteInterfaceState, wfDvmrpBaseActualRoutes=wfDvmrpBaseActualRoutes, wfDvmrpTunnelPruneLifeTime=wfDvmrpTunnelPruneLifeTime, wfDvmrpRouteTimer=wfDvmrpRouteTimer, wfDvmrpCircuitOutRouteUpdates=wfDvmrpCircuitOutRouteUpdates, wfDvmrpTunnelInGraftPkts=wfDvmrpTunnelInGraftPkts, wfDvmrpTunnelMetric=wfDvmrpTunnelMetric, wfDvmrpBaseCreate=wfDvmrpBaseCreate, wfDvmrpRouteMetric=wfDvmrpRouteMetric, wfDvmrpBaseNeighborProbeInterval=wfDvmrpBaseNeighborProbeInterval, wfDvmrpTunnelRemoteRouterIpAddress=wfDvmrpTunnelRemoteRouterIpAddress, wfDvmrpBase=wfDvmrpBase, wfDvmrpTunnelEnable=wfDvmrpTunnelEnable, wfDvmrpCircuitDefaultRouteListen=wfDvmrpCircuitDefaultRouteListen, wfDvmrpRouteInterfaceEntry=wfDvmrpRouteInterfaceEntry, wfDvmrpCircuitReportDependProbe=wfDvmrpCircuitReportDependProbe, wfDvmrpTunnelAcceptAggregateRoutes=wfDvmrpTunnelAcceptAggregateRoutes, wfDvmrpTunnelFwdCacheSize=wfDvmrpTunnelFwdCacheSize, wfDvmrpNeighboringRouterTunnelId=wfDvmrpNeighboringRouterTunnelId, wfDvmrpTunnelEntryTable=wfDvmrpTunnelEntryTable, wfDvmrpNeighboringRouterMajorVersion=wfDvmrpNeighboringRouterMajorVersion, wfDvmrpRouteInterfaceOutSuccessfulPkts=wfDvmrpRouteInterfaceOutSuccessfulPkts, wfDvmrpTunnelOutPkts=wfDvmrpTunnelOutPkts, wfDvmrpBaseMaxRoutes=wfDvmrpBaseMaxRoutes, wfDvmrpTunnelEntry=wfDvmrpTunnelEntry, wfDvmrpNeighboringRouterCapabilities=wfDvmrpNeighboringRouterCapabilities, wfDvmrpNeighboringRouterEntryTable=wfDvmrpNeighboringRouterEntryTable, wfDvmrpCircuitInGraftAckPkts=wfDvmrpCircuitInGraftAckPkts, wfDvmrpBaseRouteExpirationTimeout=wfDvmrpBaseRouteExpirationTimeout, wfDvmrpCircuitState=wfDvmrpCircuitState, wfDvmrpRouteInterfaceSPOutDiscards=wfDvmrpRouteInterfaceSPOutDiscards, wfDvmrpCircuitInRouteUpdates=wfDvmrpCircuitInRouteUpdates, wfDvmrpRouteEntry=wfDvmrpRouteEntry, wfDvmrpRouteInterfaceNextHopInterfaceCCT=wfDvmrpRouteInterfaceNextHopInterfaceCCT, wfDvmrpTunnelLocalRouterIpAddress=wfDvmrpTunnelLocalRouterIpAddress, wfDvmrpBaseHolddownEnable=wfDvmrpBaseHolddownEnable, wfDvmrpNeighboringRouterLocalTunnelId=wfDvmrpNeighboringRouterLocalTunnelId, wfDvmrpTunnelCCT=wfDvmrpTunnelCCT, wfDvmrpTunnelState=wfDvmrpTunnelState, wfDvmrpRouteNextHopInterfaceCCT=wfDvmrpRouteNextHopInterfaceCCT, wfDvmrpCircuitOutPrunePkts=wfDvmrpCircuitOutPrunePkts, wfDvmrpTunnelInPkts=wfDvmrpTunnelInPkts, wfDvmrpTunnelInRouteUpdates=wfDvmrpTunnelInRouteUpdates, wfDvmrpNeighboringRouterTimer=wfDvmrpNeighboringRouterTimer, wfDvmrpNeighboringRouterState=wfDvmrpNeighboringRouterState, wfDvmrpRouteInterfaceSourceMask=wfDvmrpRouteInterfaceSourceMask, wfDvmrpRouteInterfaceParentLocalTunnelId=wfDvmrpRouteInterfaceParentLocalTunnelId, wfDvmrpRouteType=wfDvmrpRouteType, wfDvmrpTunnelCtrlMsgMode=wfDvmrpTunnelCtrlMsgMode, wfDvmrpCircuitInPkts=wfDvmrpCircuitInPkts, wfDvmrpCircuitEntry=wfDvmrpCircuitEntry, wfDvmrpCircuitInPrunePkts=wfDvmrpCircuitInPrunePkts, wfDvmrpCircuitOutGraftPkts=wfDvmrpCircuitOutGraftPkts, wfDvmrpTunnelThreshold=wfDvmrpTunnelThreshold, wfDvmrpTunnelInPrunePkts=wfDvmrpTunnelInPrunePkts, wfDvmrpNeighboringRouterMinorVersion=wfDvmrpNeighboringRouterMinorVersion, wfDvmrpCircuitOutPkts=wfDvmrpCircuitOutPkts, wfDvmrpCircuitFwdCacheEntries=wfDvmrpCircuitFwdCacheEntries, wfDvmrpTunnelFwdCacheEntries=wfDvmrpTunnelFwdCacheEntries, wfDvmrpRouteEntryTable=wfDvmrpRouteEntryTable, wfDvmrpRouteProtocol=wfDvmrpRouteProtocol, wfDvmrpCircuitFwdCacheTTL=wfDvmrpCircuitFwdCacheTTL, wfDvmrpBaseEstimatedRoutes=wfDvmrpBaseEstimatedRoutes, wfDvmrpCircuitRouteThreshold=wfDvmrpCircuitRouteThreshold, wfDvmrpTunnelOutRouteUpdates=wfDvmrpTunnelOutRouteUpdates, wfDvmrpRouteInterfaceDominantRouter=wfDvmrpRouteInterfaceDominantRouter, wfDvmrpBaseTriggeredUpdateInterval=wfDvmrpBaseTriggeredUpdateInterval, wfDvmrpCircuitEntryTable=wfDvmrpCircuitEntryTable, wfDvmrpCircuitAdvertiseSelf=wfDvmrpCircuitAdvertiseSelf, wfDvmrpTunnelReportDependProbe=wfDvmrpTunnelReportDependProbe, wfDvmrpRouteInterfaceParentCCT=wfDvmrpRouteInterfaceParentCCT, wfDvmrpRouteSourceNetwork=wfDvmrpRouteSourceNetwork, wfDvmrpBaseDebugLevel=wfDvmrpBaseDebugLevel, wfDvmrpTunnelInGraftAckPkts=wfDvmrpTunnelInGraftAckPkts, wfDvmrpRouteNextHopRouter=wfDvmrpRouteNextHopRouter, wfDvmrpRouteInterfaceThresholdOutDiscards=wfDvmrpRouteInterfaceThresholdOutDiscards, wfDvmrpRouteState=wfDvmrpRouteState, wfDvmrpRouteInterfaceSPInDiscards=wfDvmrpRouteInterfaceSPInDiscards, wfDvmrpRouteInterfaceNextHopInterfaceTunnelId=wfDvmrpRouteInterfaceNextHopInterfaceTunnelId, wfDvmrpBaseRouteSwitchTimeout=wfDvmrpBaseRouteSwitchTimeout, wfDvmrpCircuitInGraftPkts=wfDvmrpCircuitInGraftPkts, wfDvmrpCircuitCreate=wfDvmrpCircuitCreate, wfDvmrpCircuitAnnounceAggregatedRoutes=wfDvmrpCircuitAnnounceAggregatedRoutes, wfDvmrpRouteInterfaceParentTunnelId=wfDvmrpRouteInterfaceParentTunnelId, wfDvmrpBaseState=wfDvmrpBaseState, wfDvmrpBaseNeighborTimeout=wfDvmrpBaseNeighborTimeout, wfDvmrpTunnelInPktDiscards=wfDvmrpTunnelInPktDiscards, wfDvmrpTunnelOutGraftAckPkts=wfDvmrpTunnelOutGraftAckPkts, wfDvmrpRouteInterfaceSourceNetwork=wfDvmrpRouteInterfaceSourceNetwork, wfDvmrpRouteNextHopInterfaceLocalTunnelId=wfDvmrpRouteNextHopInterfaceLocalTunnelId, wfDvmrpBasePruningEnable=wfDvmrpBasePruningEnable, wfDvmrpBaseGarbageTimeout=wfDvmrpBaseGarbageTimeout, wfDvmrpRouteNextHopInterfaceTunnelId=wfDvmrpRouteNextHopInterfaceTunnelId, wfDvmrpCircuitFwdCacheSize=wfDvmrpCircuitFwdCacheSize, wfDvmrpTunnelDefaultRouteListen=wfDvmrpTunnelDefaultRouteListen, wfDvmrpTunnelOutPktDiscards=wfDvmrpTunnelOutPktDiscards, wfDvmrpBaseLeafTimeout=wfDvmrpBaseLeafTimeout, wfDvmrpTunnelAnnounceAggregatedRoutes=wfDvmrpTunnelAnnounceAggregatedRoutes, wfDvmrpCircuitPruneLifeTime=wfDvmrpCircuitPruneLifeTime, wfDvmrpTunnelOutGraftPkts=wfDvmrpTunnelOutGraftPkts, wfDvmrpCircuitCCT=wfDvmrpCircuitCCT, wfDvmrpCircuitRouteEnable=wfDvmrpCircuitRouteEnable, wfDvmrpRouteInterfaceInSuccessfulPkts=wfDvmrpRouteInterfaceInSuccessfulPkts, wfDvmrpTunnelEncapsMode=wfDvmrpTunnelEncapsMode, wfDvmrpBaseEnable=wfDvmrpBaseEnable, wfDvmrpCircuitInPktDiscards=wfDvmrpCircuitInPktDiscards, wfDvmrpNeighboringRouterGenId=wfDvmrpNeighboringRouterGenId, wfDvmrpCircuitAcceptAggregateRoutes=wfDvmrpCircuitAcceptAggregateRoutes, wfDvmrpTunnelCreate=wfDvmrpTunnelCreate, wfDvmrpCircuitMetric=wfDvmrpCircuitMetric, wfDvmrpRouteInterfaceEntryTable=wfDvmrpRouteInterfaceEntryTable, wfDvmrpCircuitOutPktDiscards=wfDvmrpCircuitOutPktDiscards)
| [
2,
198,
2,
9485,
15571,
7378,
337,
9865,
8265,
3894,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
357,
4023,
1378,
16184,
76,
489,
8937,
13,
785,
14,
79,
893,
11632,
8,
198,
2,
7054,
45,
13,
16,
2723,
2393,
1378,
14,
14490,
14,
67,
615,
47562,
19,
14,
13603,
14,
76,
571,
82,
13,
16184,
76,
489,
8937,
13,
785,
14,
292,
77,
16,
14,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
198,
2,
21522,
771,
416,
279,
893,
11632,
12,
15,
13,
18,
13,
19,
379,
2892,
2758,
2808,
2310,
25,
2091,
25,
2481,
13130,
198,
2,
1550,
2583,
42274,
54,
15567,
19,
12,
44,
12,
1415,
2425,
3859,
21450,
2196,
1248,
13,
20,
13,
15,
416,
2836,
288,
615,
47562,
19,
198,
2,
8554,
11361,
2196,
513,
13,
22,
13,
18,
357,
12286,
11,
1526,
2681,
13130,
11,
7769,
25,
1954,
25,
1314,
8,
220,
198,
2,
198,
12349,
316,
10100,
11,
34142,
11,
9515,
33234,
7483,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
1921,
45,
16,
1600,
366,
12349,
316,
10100,
1600,
366,
46541,
1600,
366,
10267,
33234,
7483,
4943,
198,
45,
2434,
40161,
11,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
1921,
45,
16,
12,
1677,
5883,
1137,
6234,
1600,
366,
45,
2434,
40161,
4943,
198,
28008,
11395,
3103,
2536,
2913,
11,
11052,
10699,
3103,
2536,
2913,
11,
1482,
2536,
6003,
9492,
5458,
11,
1482,
2536,
6003,
38176,
11,
11052,
17257,
3103,
2536,
2913,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
1921,
45,
16,
12,
2200,
20032,
12529,
1600,
366,
28008,
11395,
3103,
2536,
2913,
1600,
366,
11395,
10699,
3103,
2536,
2913,
1600,
366,
3103,
2536,
6003,
9492,
5458,
1600,
366,
3103,
2536,
6003,
38176,
1600,
366,
11395,
17257,
3103,
2536,
2913,
4943,
198,
26796,
38143,
3610,
11,
42808,
13247,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
15571,
7378,
85,
17,
12,
10943,
37,
1600,
366,
26796,
38143,
3610,
1600,
366,
3673,
2649,
13247,
4943,
198,
26796,
7390,
26858,
11,
34142,
2624,
11,
42808,
6030,
11,
15034,
2624,
11,
44733,
11,
791,
32696,
2624,
11,
337,
571,
3351,
282,
283,
11,
337,
571,
10962,
11,
337,
571,
10962,
25166,
11,
337,
571,
10962,
39470,
11,
47279,
11,
314,
79,
20231,
11,
15034,
2414,
11,
35094,
469,
2624,
11,
3862,
51,
3378,
11,
9515,
7390,
26858,
11,
337,
571,
33234,
7483,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
15571,
7378,
85,
17,
12,
50,
8895,
1600,
366,
26796,
7390,
26858,
1600,
366,
46541,
2624,
1600,
366,
3673,
2649,
6030,
1600,
366,
31694,
2624,
1600,
366,
33,
896,
1600,
366,
3118,
32696,
2624,
1600,
366,
44,
571,
3351,
282,
283,
1600,
366,
44,
571,
10962,
1600,
366,
44,
571,
10962,
25166,
1600,
366,
44,
571,
10962,
39470,
1600,
366,
26786,
1600,
366,
40,
79,
20231,
1600,
366,
31694,
2414,
1600,
366,
38,
559,
469,
2624,
1600,
366,
7575,
51,
3378,
1600,
366,
10267,
7390,
26858,
1600,
366,
44,
571,
33234,
7483,
4943,
198,
8206,
723,
3103,
4018,
11,
16531,
10100,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
15571,
7378,
85,
17,
12,
4825,
1600,
366,
8206,
723,
3103,
4018,
1600,
366,
23114,
10100,
4943,
198,
86,
69,
35,
14761,
81,
79,
13247,
11,
796,
285,
571,
32875,
13,
11748,
13940,
2022,
10220,
7203,
5779,
33559,
12,
9858,
27857,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
13247,
4943,
198,
86,
69,
35,
14761,
81,
79,
14881,
796,
337,
571,
33234,
7483,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
4008,
198,
86,
69,
35,
14761,
81,
79,
14881,
16447,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
352,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25598,
1600,
352,
828,
5855,
2934,
33342,
1600,
362,
4008,
737,
21018,
10786,
25598,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
16447,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
36695,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
362,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
36695,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
9012,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
513,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
11,
513,
11,
604,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
929,
1600,
352,
828,
5855,
2902,
1600,
362,
828,
5855,
15003,
1600,
513,
828,
5855,
1662,
18302,
1600,
604,
4008,
737,
21018,
10786,
1662,
18302,
11537,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
9012,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
13295,
10260,
9492,
2100,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
604,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
940,
11,
4751,
29720,
21018,
7,
1899,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
13295,
10260,
9492,
2100,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
2898,
328,
10446,
10260,
9492,
2100,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
642,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
20,
11,
8576,
29720,
21018,
7,
20,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
2898,
328,
10446,
10260,
9492,
2100,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
3123,
1878,
48031,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
718,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
1495,
11,
30123,
29720,
21018,
7,
2167,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
3123,
1878,
48031,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
48031,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
767,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
2327,
11,
38055,
29720,
21018,
7,
2327,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
48031,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
43401,
3109,
10514,
48031,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
807,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
1238,
11,
30123,
29720,
21018,
7,
15187,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
43401,
3109,
10514,
48031,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
27676,
13866,
48031,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
860,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
1821,
11,
38055,
29720,
21018,
7,
21719,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
27676,
13866,
48031,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
22362,
15655,
49,
448,
274,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
838,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
940,
11,
362,
20198,
2780,
26780,
22,
29720,
21018,
7,
1495,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
22362,
15655,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
2964,
1350,
9492,
2100,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1367,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
20,
11,
1542,
29720,
21018,
7,
940,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
2964,
1350,
9492,
2100,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
43401,
38978,
48031,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1105,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
1238,
11,
4751,
29720,
21018,
7,
15187,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
43401,
38978,
48031,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
6398,
723,
49,
448,
274,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1511,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
6398,
723,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
27509,
4971,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1478,
828,
35094,
469,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
42313,
2920,
3134,
25710,
29720,
21018,
7,
16,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
27509,
4971,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
47,
5143,
278,
36695,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1315,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
47,
5143,
278,
36695,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
42974,
434,
44,
28047,
817,
10126,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1467,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
43234,
11,
362,
20198,
2780,
26780,
22,
29720,
21018,
7,
1314,
1415,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
42974,
434,
44,
28047,
817,
10126,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
11518,
49,
448,
274,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1596,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
11518,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
36727,
36695,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
1248,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
47730,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
36727,
36695,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
14881,
26807,
2902,
36695,
796,
337,
571,
3351,
282,
283,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
352,
11,
678,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
47730,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
14881,
26807,
2902,
36695,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
10962,
796,
337,
571,
10962,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
828,
1267,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
10962,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
796,
337,
571,
10962,
25166,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
828,
6739,
2617,
15732,
36690,
19510,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
31560,
5013,
4093,
51,
48774,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
16447,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
352,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25598,
1600,
352,
828,
5855,
2934,
33342,
1600,
362,
4008,
737,
21018,
10786,
25598,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
16447,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
36695,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
362,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
36695,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
9012,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
513,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
11,
513,
11,
604,
11,
642,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
929,
1600,
352,
828,
5855,
2902,
1600,
362,
828,
5855,
15003,
1600,
513,
828,
5855,
259,
12102,
1600,
604,
828,
5855,
1662,
18302,
1600,
642,
4008,
737,
21018,
10786,
1662,
18302,
11537,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
9012,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
4093,
51,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
604,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
4093,
51,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
36695,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
642,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
36695,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
9171,
1173,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
718,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
16,
11,
3261,
29720,
21018,
7,
16,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
9171,
1173,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
817,
10126,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
767,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
16,
11,
35360,
29720,
21018,
7,
16,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
817,
10126,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
807,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
860,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
43401,
4933,
19581,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
838,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
43401,
4933,
19581,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
43401,
4933,
19581,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1367,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
43401,
4933,
19581,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
21841,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1105,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
21841,
15642,
1371,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
21841,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1511,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
21841,
15642,
1371,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
10699,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1478,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
2624,
11,
22243,
29720,
21018,
7,
2624,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
10699,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
51,
14990,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1315,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
807,
2414,
405,
29720,
21018,
7,
22,
2167,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
51,
14990,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
2782,
1851,
786,
24704,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1467,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
2782,
1851,
786,
24704,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
14539,
1678,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1596,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
14539,
1678,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
6836,
1726,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1248,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
6836,
1726,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
6836,
1726,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
678,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
6836,
1726,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1160,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2310,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
32,
694,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2534,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
32,
694,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
32,
694,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2242,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
32,
694,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
15979,
306,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1987,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
11,
513,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
828,
5855,
8612,
378,
1600,
513,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
15979,
306,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
23061,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
1679,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
23061,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
19100,
35,
2690,
2964,
1350,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2608,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
47730,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
19100,
35,
2690,
2964,
1350,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
6836,
1726,
14662,
7575,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2681,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
807,
2414,
405,
29720,
21018,
7,
22,
2167,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
6836,
1726,
14662,
7575,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
38855,
46384,
49373,
49,
448,
274,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2579,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
38855,
46384,
49373,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
31560,
5013,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
362,
11,
352,
11,
2808,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
31560,
5013,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
10962,
796,
337,
571,
10962,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
828,
1267,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
10962,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
796,
337,
571,
10962,
25166,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
828,
6739,
2617,
15732,
36690,
19510,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
4093,
51,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
14565,
49,
39605,
40,
79,
20231,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
36510,
49,
39605,
40,
79,
20231,
48774,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
16447,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
352,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25598,
1600,
352,
828,
5855,
2934,
33342,
1600,
362,
4008,
737,
21018,
10786,
25598,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
16447,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
36695,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
362,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
25616,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
36695,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
9012,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
513,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
11,
513,
11,
604,
11,
642,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
929,
1600,
352,
828,
5855,
2902,
1600,
362,
828,
5855,
15003,
1600,
513,
828,
5855,
259,
12102,
1600,
604,
828,
5855,
1662,
18302,
1600,
642,
4008,
737,
21018,
10786,
1662,
18302,
11537,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
9012,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
4093,
51,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
604,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
4093,
51,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
36510,
49,
39605,
40,
79,
20231,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
642,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
36510,
49,
39605,
40,
79,
20231,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
27195,
1686,
19076,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
718,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
541,
12,
259,
12,
541,
1600,
352,
828,
5855,
75,
824,
81,
1600,
362,
4008,
737,
21018,
10786,
541,
12,
259,
12,
541,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
27195,
1686,
19076,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
9171,
1173,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
767,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
16,
11,
3261,
29720,
21018,
7,
16,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
9171,
1173,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
817,
10126,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
807,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
16,
11,
35360,
29720,
21018,
7,
16,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
817,
10126,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
860,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
838,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
43401,
4933,
19581,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1367,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
43401,
4933,
19581,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
43401,
4933,
19581,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1105,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
43401,
4933,
19581,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
21841,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1511,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
21841,
15642,
1371,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
21841,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1478,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
21841,
15642,
1371,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
14565,
49,
39605,
40,
79,
20231,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1315,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
14565,
49,
39605,
40,
79,
20231,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
10699,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1467,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
2624,
11,
22243,
29720,
21018,
7,
2624,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
10699,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
51,
14990,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1596,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
807,
2414,
405,
29720,
21018,
7,
22,
2167,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
51,
14990,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
14539,
1678,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1248,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
14539,
1678,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
6836,
1726,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
678,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
6836,
1726,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
6836,
1726,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1160,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
6836,
1726,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2310,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2534,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
32,
694,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2242,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
32,
694,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
32,
694,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1987,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
32,
694,
47,
74,
912,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
15979,
306,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1679,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
11,
513,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
828,
5855,
8612,
378,
1600,
513,
4008,
737,
21018,
10786,
47730,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
15979,
306,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
23061,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2608,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
47730,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
23061,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
40069,
50108,
19076,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2681,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
30191,
1600,
352,
828,
5855,
541,
12,
259,
12,
541,
1600,
362,
4008,
737,
21018,
10786,
30191,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
40069,
50108,
19076,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
19100,
35,
2690,
2964,
1350,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2579,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
3103,
2536,
6003,
38176,
7,
28008,
11395,
3103,
2536,
2913,
7,
16,
11,
362,
4008,
737,
21018,
7,
13190,
40161,
28,
45,
2434,
40161,
7,
7203,
25616,
1600,
352,
828,
5855,
47730,
1600,
362,
4008,
737,
21018,
10786,
47730,
11537,
737,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
19100,
35,
2690,
2964,
1350,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
6836,
1726,
14662,
7575,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
2808,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
807,
2414,
405,
29720,
21018,
7,
22,
2167,
29720,
2617,
11518,
15457,
7203,
961,
13564,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
6836,
1726,
14662,
7575,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
38855,
46384,
49373,
49,
448,
274,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
1542,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
38855,
46384,
49373,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
513,
11,
352,
11,
3261,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
30150,
10962,
796,
337,
571,
10962,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
828,
1267,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
30150,
10962,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
30150,
796,
337,
571,
10962,
25166,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
828,
6739,
2617,
15732,
36690,
19510,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
43401,
7416,
26245,
48774,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
30150,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
7416,
26245,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
352,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
7416,
26245,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
7416,
45195,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
362,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
7416,
45195,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
49,
39605,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
513,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
49,
39605,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
4093,
51,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
604,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
4093,
51,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
642,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
718,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
48801,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
767,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
48801,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
9012,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
807,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
9012,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
9171,
1173,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
860,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
9171,
1173,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
19703,
4668,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
838,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
19703,
4668,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
6030,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
1367,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
6030,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
46384,
2301,
515,
6030,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
604,
11,
352,
11,
1105,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
46384,
2301,
515,
6030,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
10962,
796,
337,
571,
10962,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
828,
1267,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
10962,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
796,
337,
571,
10962,
25166,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
828,
6739,
2617,
15732,
36690,
19510,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
26245,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
4093,
51,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
14565,
51,
403,
4954,
7390,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
51,
403,
4954,
7390,
48774,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
26245,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
352,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
26245,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
45195,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
362,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
45195,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
4093,
51,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
513,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
4093,
51,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
604,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
642,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
9012,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
718,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
9012,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
43417,
415,
49,
39605,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
767,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
43417,
415,
49,
39605,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7004,
45480,
49,
39605,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
807,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7004,
45480,
49,
39605,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
26807,
8048,
48801,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
860,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
26807,
8048,
48801,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
818,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
838,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
818,
15642,
1371,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
7975,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1367,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
7975,
15642,
1371,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
817,
10126,
7975,
15642,
1371,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1105,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
817,
10126,
7975,
15642,
1371,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
818,
33244,
913,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1511,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
818,
33244,
913,
47,
74,
912,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7975,
33244,
913,
47,
74,
912,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1478,
828,
15034,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7975,
33244,
913,
47,
74,
912,
13,
2617,
19580,
10786,
672,
23869,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
4093,
51,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1315,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
4093,
51,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
14565,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1467,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
14565,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
642,
11,
352,
11,
1596,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
10962,
796,
337,
571,
10962,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
828,
1267,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
10962,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
796,
337,
571,
10962,
25166,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
828,
6739,
2617,
15732,
36690,
19510,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
4093,
51,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
14565,
51,
403,
4954,
7390,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
51,
403,
4954,
7390,
12340,
357,
15,
11,
366,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
366,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
40,
79,
4550,
81,
48774,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
4093,
51,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
352,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
4093,
51,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
14565,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
362,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
14565,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
51,
403,
4954,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
513,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
51,
403,
4954,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
40,
79,
4550,
81,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
604,
828,
314,
79,
20231,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
40,
79,
4550,
81,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
9012,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
642,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
9012,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
48801,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
718,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
48801,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
13746,
7390,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
767,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
13746,
7390,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
24206,
14815,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
807,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
14280,
4008,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
24206,
14815,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
39825,
14815,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
860,
828,
34142,
2624,
22446,
7266,
4906,
7,
7266,
4906,
22882,
28,
11395,
17257,
3103,
2536,
2913,
7,
15,
11,
14280,
4008,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
39825,
14815,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
15610,
5738,
796,
337,
571,
10962,
39470,
19510,
16,
11,
513,
11,
718,
11,
352,
11,
604,
11,
352,
11,
1248,
11,
513,
11,
642,
11,
513,
11,
1105,
11,
718,
11,
352,
11,
838,
828,
34142,
2624,
3419,
737,
2617,
11518,
15457,
7203,
961,
8807,
4943,
198,
361,
285,
571,
32875,
13,
2220,
8206,
82,
25,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
15610,
5738,
13,
2617,
19580,
10786,
22249,
2870,
11537,
198,
76,
571,
32875,
13,
39344,
13940,
2022,
10220,
7203,
5779,
33559,
12,
35,
53,
13599,
47,
12,
8895,
33,
1600,
266,
69,
35,
14761,
81,
79,
14881,
13295,
10260,
9492,
2100,
28,
86,
69,
35,
14761,
81,
79,
14881,
13295,
10260,
9492,
2100,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
40,
79,
4550,
81,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
40,
79,
4550,
81,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
15979,
306,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
15979,
306,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
6836,
1726,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
6836,
1726,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
4093,
51,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
4093,
51,
11,
266,
69,
35,
14761,
81,
79,
14881,
42974,
434,
44,
28047,
817,
10126,
28,
86,
69,
35,
14761,
81,
79,
14881,
42974,
434,
44,
28047,
817,
10126,
11,
266,
69,
35,
14761,
81,
79,
43401,
46384,
2301,
515,
6030,
28,
86,
69,
35,
14761,
81,
79,
43401,
46384,
2301,
515,
6030,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
26807,
8048,
48801,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
26807,
8048,
48801,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
36695,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
36695,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
15979,
306,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
15979,
306,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7004,
45480,
49,
39605,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7004,
45480,
49,
39605,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
51,
14990,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
51,
14990,
11,
266,
69,
35,
14761,
81,
79,
14881,
36727,
36695,
28,
86,
69,
35,
14761,
81,
79,
14881,
36727,
36695,
11,
266,
69,
35,
14761,
81,
79,
43401,
7416,
45195,
28,
86,
69,
35,
14761,
81,
79,
43401,
7416,
45195,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
32,
694,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
32,
694,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
9012,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
9012,
11,
266,
69,
35,
14761,
81,
79,
14881,
6398,
723,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
14881,
6398,
723,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
6836,
1726,
14662,
7575,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
6836,
1726,
14662,
7575,
11,
266,
69,
35,
14761,
81,
79,
43401,
48801,
28,
86,
69,
35,
14761,
81,
79,
43401,
48801,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
43401,
4933,
19581,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
43401,
4933,
19581,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
9171,
1173,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
9171,
1173,
11,
266,
69,
35,
14761,
81,
79,
14881,
16447,
28,
86,
69,
35,
14761,
81,
79,
14881,
16447,
11,
266,
69,
35,
14761,
81,
79,
43401,
9171,
1173,
28,
86,
69,
35,
14761,
81,
79,
43401,
9171,
1173,
11,
266,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
2964,
1350,
9492,
2100,
28,
86,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
2964,
1350,
9492,
2100,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
36510,
49,
39605,
40,
79,
20231,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
36510,
49,
39605,
40,
79,
20231,
11,
266,
69,
35,
14761,
81,
79,
14881,
28,
86,
69,
35,
14761,
81,
79,
14881,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
36695,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
36695,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
23061,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
19463,
43401,
23061,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
19100,
35,
2690,
2964,
1350,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
19100,
35,
2690,
2964,
1350,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
38855,
46384,
49373,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
38855,
46384,
49373,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
10699,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
10699,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
10962,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
10962,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
24206,
14815,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
24206,
14815,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7975,
33244,
913,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7975,
33244,
913,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
14881,
11518,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
14881,
11518,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
30150,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
15610,
5738,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
15610,
5738,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
10962,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
30150,
10962,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
32,
694,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
32,
694,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
14881,
43401,
3109,
10514,
48031,
28,
86,
69,
35,
14761,
81,
79,
14881,
43401,
3109,
10514,
48031,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
9012,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
9012,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
7975,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
7975,
15642,
1371,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
43401,
4933,
19581,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
43401,
4933,
19581,
11,
266,
69,
35,
14761,
81,
79,
43401,
30150,
28,
86,
69,
35,
14761,
81,
79,
43401,
30150,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
4093,
51,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
4093,
51,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
14565,
49,
39605,
40,
79,
20231,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
14565,
49,
39605,
40,
79,
20231,
11,
266,
69,
35,
14761,
81,
79,
14881,
26807,
2902,
36695,
28,
86,
69,
35,
14761,
81,
79,
14881,
26807,
2902,
36695,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
14565,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
14565,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
4093,
51,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
4093,
51,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
9012,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
9012,
11,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
4093,
51,
28,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
4093,
51,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
6836,
1726,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
6836,
1726,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
43401,
4933,
19581,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
43401,
4933,
19581,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
48801,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
48801,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
9012,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
9012,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
45195,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
45195,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
14565,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
14565,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
43401,
6030,
28,
86,
69,
35,
14761,
81,
79,
43401,
6030,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
40069,
50108,
19076,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
40069,
50108,
19076,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
6836,
1726,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
6836,
1726,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
38,
1617,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
817,
10126,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
817,
10126,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
6836,
1726,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
6836,
1726,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
39825,
14815,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
39825,
14815,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
14539,
1678,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
14539,
1678,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
14539,
1678,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
37,
16993,
30562,
14539,
1678,
11,
266,
69,
35,
14761,
81,
79,
43401,
30150,
10962,
28,
86,
69,
35,
14761,
81,
79,
43401,
30150,
10962,
11,
266,
69,
35,
14761,
81,
79,
43401,
19703,
4668,
28,
86,
69,
35,
14761,
81,
79,
43401,
19703,
4668,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
51,
14990,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
51,
14990,
11,
266,
69,
35,
14761,
81,
79,
14881,
22362,
15655,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
14881,
22362,
15655,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
817,
10126,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
817,
10126,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
43401,
4933,
19581,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
43401,
4933,
19581,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
43417,
415,
49,
39605,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
43417,
415,
49,
39605,
11,
266,
69,
35,
14761,
81,
79,
14881,
2898,
328,
10446,
10260,
9492,
2100,
28,
86,
69,
35,
14761,
81,
79,
14881,
2898,
328,
10446,
10260,
9492,
2100,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
10962,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
30150,
10962,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
2782,
1851,
786,
24704,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
2782,
1851,
786,
24704,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
19100,
35,
2690,
2964,
1350,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
19100,
35,
2690,
2964,
1350,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
4093,
51,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
4093,
51,
11,
266,
69,
35,
14761,
81,
79,
43401,
7416,
26245,
28,
86,
69,
35,
14761,
81,
79,
43401,
7416,
26245,
11,
266,
69,
35,
14761,
81,
79,
14881,
27509,
4971,
28,
86,
69,
35,
14761,
81,
79,
14881,
27509,
4971,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
32,
694,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
38,
1617,
32,
694,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
49,
39605,
28,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
49,
39605,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
817,
10126,
7975,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
817,
10126,
7975,
15642,
1371,
11,
266,
69,
35,
14761,
81,
79,
43401,
9012,
28,
86,
69,
35,
14761,
81,
79,
43401,
9012,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
818,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
4303,
818,
15642,
1371,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
10019,
23483,
39317,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
14881,
43401,
38978,
48031,
28,
86,
69,
35,
14761,
81,
79,
14881,
43401,
38978,
48031,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
38,
1617,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
16447,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
16447,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
24546,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
14881,
9012,
28,
86,
69,
35,
14761,
81,
79,
14881,
9012,
11,
266,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
48031,
28,
86,
69,
35,
14761,
81,
79,
14881,
46445,
2865,
48031,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
21841,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
818,
47,
21841,
15642,
1371,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
32,
694,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
32,
694,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
26245,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
7416,
26245,
11,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
14565,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
14881,
47,
5143,
278,
36695,
28,
86,
69,
35,
14761,
81,
79,
14881,
47,
5143,
278,
36695,
11,
266,
69,
35,
14761,
81,
79,
14881,
27676,
13866,
48031,
28,
86,
69,
35,
14761,
81,
79,
14881,
27676,
13866,
48031,
11,
266,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
51,
403,
4954,
7390,
28,
86,
69,
35,
14761,
81,
79,
43401,
10019,
23483,
39317,
51,
403,
4954,
7390,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
10699,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
37,
16993,
30562,
10699,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
23061,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
19463,
43401,
23061,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
21841,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
47,
21841,
15642,
1371,
11,
266,
69,
35,
14761,
81,
79,
14881,
3123,
1878,
48031,
28,
86,
69,
35,
14761,
81,
79,
14881,
3123,
1878,
48031,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
18858,
8652,
46384,
2301,
515,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
6836,
1726,
14662,
7575,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
6836,
1726,
14662,
7575,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
7975,
38,
1617,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
4093,
51,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
4093,
51,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
36695,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
43401,
36695,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
818,
33244,
913,
47,
74,
912,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
818,
33244,
913,
47,
74,
912,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
27195,
1686,
19076,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
27195,
1686,
19076,
11,
266,
69,
35,
14761,
81,
79,
14881,
36695,
28,
86,
69,
35,
14761,
81,
79,
14881,
36695,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
21841,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
818,
47,
21841,
15642,
1371,
11,
266,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
13746,
7390,
28,
86,
69,
35,
14761,
81,
79,
46445,
2865,
278,
49,
39605,
13746,
7390,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
38855,
46384,
49373,
49,
448,
274,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
38855,
46384,
49373,
49,
448,
274,
11,
266,
69,
35,
14761,
81,
79,
51,
403,
4954,
16447,
28,
86,
69,
35,
14761,
81,
79,
51,
403,
4954,
16447,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
9171,
1173,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
9171,
1173,
11,
266,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
10962,
28,
86,
69,
35,
14761,
81,
79,
43401,
39317,
30150,
10962,
11,
266,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
21841,
15642,
1371,
28,
86,
69,
35,
14761,
81,
79,
31560,
5013,
7975,
47,
21841,
15642,
1371,
8,
198
] | 2.390165 | 17,021 |
import os
import json
import requests
from bs4 import BeautifulSoup as bs
from googlesearch import search
| [
11748,
28686,
198,
11748,
33918,
198,
11748,
7007,
198,
6738,
275,
82,
19,
1330,
23762,
50,
10486,
355,
275,
82,
198,
6738,
467,
519,
829,
3679,
1330,
2989,
628,
198
] | 3.6 | 30 |
# -*- coding: utf-8 -*-
############################################################################
#
# Copyright © 2016 OnlineGroups.net and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE.
#
############################################################################
from __future__ import absolute_import, unicode_literals, print_function
from mock import (MagicMock, patch, PropertyMock)
from unittest import TestCase
from gs.group.member.subscribe.messagesender import GroupMessageSender
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
29113,
29113,
7804,
4242,
198,
2,
198,
2,
15069,
10673,
1584,
7467,
38,
14459,
13,
3262,
290,
25767,
669,
13,
198,
2,
1439,
6923,
33876,
13,
198,
2,
198,
2,
770,
3788,
318,
2426,
284,
262,
8617,
286,
262,
1168,
3008,
5094,
13789,
11,
198,
2,
10628,
362,
13,
16,
357,
57,
6489,
737,
220,
317,
4866,
286,
262,
1168,
6489,
815,
13873,
428,
6082,
13,
198,
2,
12680,
47466,
3180,
36592,
2389,
1961,
366,
1921,
3180,
1,
5357,
15529,
5357,
11096,
7788,
32761,
6375,
8959,
49094,
198,
2,
34764,
11015,
15986,
13954,
48778,
1961,
11,
47783,
2751,
11,
21728,
5626,
40880,
5390,
11,
3336,
8959,
49094,
198,
2,
34764,
11015,
3963,
37977,
2538,
11,
34482,
3398,
1565,
5603,
25382,
11,
36218,
38604,
3268,
10913,
2751,
12529,
11,
5357,
376,
46144,
198,
2,
7473,
317,
16652,
2149,
37232,
33079,
48933,
13,
198,
2,
198,
29113,
29113,
7804,
4242,
198,
6738,
11593,
37443,
834,
1330,
4112,
62,
11748,
11,
28000,
1098,
62,
17201,
874,
11,
3601,
62,
8818,
198,
6738,
15290,
1330,
357,
22975,
44,
735,
11,
8529,
11,
14161,
44,
735,
8,
198,
6738,
555,
715,
395,
1330,
6208,
20448,
198,
6738,
308,
82,
13,
8094,
13,
19522,
13,
7266,
12522,
13,
37348,
1095,
2194,
1330,
4912,
12837,
50,
2194,
628
] | 3.911111 | 225 |
#!/usr/bin/env python
from __future__ import division
import rospy
from ros_abstraction import IkController
from geometry_msgs.msg import Point, Vector3
from std_msgs.msg import ColorRGBA
from visualization_msgs.msg import Marker
if __name__ == "__main__":
LegPositionReader()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
6738,
11593,
37443,
834,
1330,
7297,
198,
11748,
686,
2777,
88,
198,
6738,
686,
82,
62,
397,
301,
7861,
1330,
32840,
22130,
198,
6738,
22939,
62,
907,
14542,
13,
19662,
1330,
6252,
11,
20650,
18,
198,
6738,
14367,
62,
907,
14542,
13,
19662,
1330,
5315,
48192,
4339,
198,
6738,
32704,
62,
907,
14542,
13,
19662,
1330,
2940,
263,
628,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
3564,
26545,
33634,
3419,
198
] | 3.177778 | 90 |
# 学号:1827402013
# 姓名:司诺男
# IP:192.168.157.154
# 上传时间:2018/11/12 15:02:21
import math
if __name__=="__main__":
pass
| [
171,
119,
123,
2,
220,
10263,
255,
99,
20998,
115,
25,
1507,
1983,
1821,
6390,
201,
198,
2,
220,
10263,
100,
241,
28938,
235,
25,
20998,
116,
46237,
118,
18796,
115,
201,
198,
2,
220,
6101,
25,
17477,
13,
14656,
13,
18458,
13,
21526,
201,
198,
2,
220,
220,
41468,
27670,
254,
33768,
114,
29785,
112,
25,
7908,
14,
1157,
14,
1065,
1315,
25,
2999,
25,
2481,
201,
198,
201,
198,
11748,
10688,
201,
198,
201,
198,
361,
11593,
3672,
834,
855,
1,
834,
12417,
834,
1298,
201,
198,
197,
6603,
201,
198
] | 1.419355 | 93 |
# == CRS settings == #
CRS = {'init': 'epsg:4326'}
# == KEYS == #
# geopandas geometry key
GPD_GEO_KEY = "geometry"
# graph keys
NODE_TYPE_KEY = "nodetype"
EDGE_COST_KEY = "cost"
EDGE_LENGTH_KEY = "length"
SOLUTION_POWER_FLOW_KEY = "flow"
NODE_ELEVATION_KEY = "z"
ORIGINAL_EDGE_KEY = "original_edge"
PIPE_DIAMETER_KEY = "diameter"
VELOCITY_KEY = "velocity"
AVERAGE_PRESSURE_KEY = "Apressure"
CONSTRUCTION_COST_KEY = "ConstC"
HEAT_LOSS_COST_KEY = "HLC"
COOL_LOSS_COST_KEY = "CLC"
PUMPING_COST_KEY = "PumpC"
# supply keys
SUPPLY_POWER_CAPACITY_KEY = "capacity_MW"
SUPPLY_NODE_TYPE = "production"
SUPPLY_NODE_NAME_PREFIX = "S_"
OLD_SUPPLY_NODE_NAME_PREFIX = "OldS_"
SUPPLY_FIXED_COST = 1000.0 # meters
# buildings keys
BUILDING_CONSUMPTION_KEY = "MaxHeatDem"
BUILDING_NODE_TYPE = "building"
BUILDING_ID_KEY = "BuildingID"
BUILDING_NODE_NAME_PREFIX = "B_"
EXCLUDED_BUILDING_KEY = "IsExcluded"
BUILDING_CONSUMPTION_FACTOR_UNIT = 1e-3 # buildings consumptions are in GW and the plugin is working in MW
BUILDING_ID_KEY = "BuildingID"
BUILDING_USE_KEY = "Use"
BUILDING_ROOF_AREA_KEY = "RoofArea"
BUILDING_GROSS_FOOTPRINT_AREA_KEY = "GrossFA"
BUILDING_FLOORS_KEY = "NumberFloo"
CONNECTED_BUILDING_KEY = "Connected"
BUILDING_SURFACE_KEY = "Surface"
BUILDING_MAX_HEAT_DEM_KEY = "MaxHeatDem"
BUILDING_MAX_COOL_DEM_KEY = 'MaxCoolDem'
BUILDING_AVERAGE_HEAT_DEM_KEY = "AHeatDem"
BUILDING_AVERAGE_COOL_DEM_KEY = 'ACoolDem'
BUILDING_PEAK_HEAT_DEM_KEY = "PeakHeatDe"
BUILDING_PEAK_COOL_DEM_KEY = 'PeakCoolDe'
DAY_KEY = "DayOfYear"
HOUR_KEY = "HourOfDay"
# Streets keys
STREET_NODE_TYPE = "junction"
STREET_NODE_PEAK_DEMAND = "JunPeakDem"
# Least cost coefficient (%)
LEASTCOST_COEF = 30
LEASTCOST_COEF_KEY = 'LSTCcoef'
# Imaginary edges:
IM_PREFIX = "IM_"
# Output files :
SELECTED_BUILDINGS_FILE = "result_buildings.shp"
UNSELECTED_BUILDINGS_FILE = "result_unselected_buildings.shp"
SOLUTION_DISTRICT_EDGES_FILE = "solution_edges.shp"
SOLUTION_SUPPLY_EDGES_FILE = "solution_supply.shp"
SOLUTION_OLD_SUPPLY_EDGES_FILE = "solution_old_supply.shp"
SOLUTION_STP_EDGES_FILE = "solution_edges_stp.shp"
# == PLUGIN KEYS == #
STATUS_KEY = "Status"
EXCLUDED_KEY = "Excluded"
EXCLUDED_STATUS_VALUE = 0
INCLUDED_KEY = "Included"
INCLUDED_STATUS_VALUE = 1
EXISTING_KEY = "Already connected"
EXISTING_STATUS_VALUE = 2
LEASTCOST_KEY = "Least Cost"
LEASTCOST_STATUS_VALUE = 3
SUPPLY_NAME_KEY = "name"
COVERAGE_OBJECTIVE_DEFAULT = 50 # %
POSTPROCESS = True
| [
2,
6624,
327,
6998,
6460,
6624,
1303,
198,
34,
6998,
796,
1391,
6,
15003,
10354,
705,
25386,
70,
25,
3559,
2075,
6,
92,
198,
198,
2,
6624,
47134,
16309,
6624,
1303,
198,
2,
30324,
392,
292,
22939,
1994,
198,
38,
5760,
62,
38,
4720,
62,
20373,
796,
366,
469,
15748,
1,
198,
198,
2,
4823,
8251,
198,
45,
16820,
62,
25216,
62,
20373,
796,
366,
77,
375,
2963,
431,
1,
198,
1961,
8264,
62,
8220,
2257,
62,
20373,
796,
366,
15805,
1,
198,
1961,
8264,
62,
43,
49494,
62,
20373,
796,
366,
13664,
1,
198,
50,
3535,
35354,
62,
47,
36048,
62,
3697,
3913,
62,
20373,
796,
366,
11125,
1,
198,
45,
16820,
62,
36,
2538,
53,
6234,
62,
20373,
796,
366,
89,
1,
198,
1581,
3528,
17961,
62,
1961,
8264,
62,
20373,
796,
366,
14986,
62,
14907,
1,
198,
47,
4061,
36,
62,
17931,
2390,
2767,
1137,
62,
20373,
796,
366,
67,
13173,
1,
198,
18697,
4503,
9050,
62,
20373,
796,
366,
626,
11683,
1,
198,
32,
5959,
11879,
62,
32761,
11335,
62,
20373,
796,
366,
32,
36151,
1,
198,
10943,
46126,
2849,
62,
8220,
2257,
62,
20373,
796,
366,
34184,
34,
1,
198,
13909,
1404,
62,
43,
18420,
62,
8220,
2257,
62,
20373,
796,
366,
39,
5639,
1,
198,
8220,
3535,
62,
43,
18420,
62,
8220,
2257,
62,
20373,
796,
366,
5097,
34,
1,
198,
5105,
7378,
2751,
62,
8220,
2257,
62,
20373,
796,
366,
47,
931,
34,
1,
198,
198,
2,
5127,
8251,
198,
40331,
6489,
56,
62,
47,
36048,
62,
33177,
2246,
9050,
62,
20373,
796,
366,
42404,
62,
14326,
1,
198,
40331,
6489,
56,
62,
45,
16820,
62,
25216,
796,
366,
25493,
1,
198,
40331,
6489,
56,
62,
45,
16820,
62,
20608,
62,
47,
31688,
10426,
796,
366,
50,
62,
1,
198,
15173,
62,
40331,
6489,
56,
62,
45,
16820,
62,
20608,
62,
47,
31688,
10426,
796,
366,
19620,
50,
62,
1,
198,
40331,
6489,
56,
62,
47084,
1961,
62,
8220,
2257,
796,
8576,
13,
15,
220,
1303,
10700,
198,
198,
2,
6832,
8251,
198,
19499,
26761,
2751,
62,
10943,
50,
5883,
11571,
2849,
62,
20373,
796,
366,
11518,
39596,
11522,
1,
198,
19499,
26761,
2751,
62,
45,
16820,
62,
25216,
796,
366,
16894,
1,
198,
19499,
26761,
2751,
62,
2389,
62,
20373,
796,
366,
25954,
2389,
1,
198,
19499,
26761,
2751,
62,
45,
16820,
62,
20608,
62,
47,
31688,
10426,
796,
366,
33,
62,
1,
198,
6369,
39149,
1961,
62,
19499,
26761,
2751,
62,
20373,
796,
366,
3792,
3109,
10341,
1,
198,
19499,
26761,
2751,
62,
10943,
50,
5883,
11571,
2849,
62,
37,
10659,
1581,
62,
4944,
2043,
796,
352,
68,
12,
18,
220,
1303,
6832,
2784,
8544,
389,
287,
27164,
290,
262,
13877,
318,
1762,
287,
29961,
198,
198,
19499,
26761,
2751,
62,
2389,
62,
20373,
796,
366,
25954,
2389,
1,
198,
19499,
26761,
2751,
62,
19108,
62,
20373,
796,
366,
11041,
1,
198,
19499,
26761,
2751,
62,
49,
6684,
37,
62,
12203,
32,
62,
20373,
796,
366,
15450,
1659,
30547,
1,
198,
19499,
26761,
2751,
62,
10761,
18420,
62,
6080,
2394,
4805,
12394,
62,
12203,
32,
62,
20373,
796,
366,
38,
1214,
7708,
1,
198,
19499,
26761,
2751,
62,
3697,
46,
20673,
62,
20373,
796,
366,
15057,
7414,
2238,
1,
198,
10943,
48842,
1961,
62,
19499,
26761,
2751,
62,
20373,
796,
366,
13313,
276,
1,
198,
19499,
26761,
2751,
62,
50,
4261,
49836,
62,
20373,
796,
366,
14214,
2550,
1,
198,
19499,
26761,
2751,
62,
22921,
62,
13909,
1404,
62,
39429,
62,
20373,
796,
366,
11518,
39596,
11522,
1,
198,
19499,
26761,
2751,
62,
22921,
62,
8220,
3535,
62,
39429,
62,
20373,
796,
705,
11518,
34530,
11522,
6,
198,
19499,
26761,
2751,
62,
32,
5959,
11879,
62,
13909,
1404,
62,
39429,
62,
20373,
796,
366,
32,
39596,
11522,
1,
198,
19499,
26761,
2751,
62,
32,
5959,
11879,
62,
8220,
3535,
62,
39429,
62,
20373,
796,
705,
2246,
970,
11522,
6,
198,
19499,
26761,
2751,
62,
11401,
10206,
62,
13909,
1404,
62,
39429,
62,
20373,
796,
366,
6435,
461,
39596,
5005,
1,
198,
19499,
26761,
2751,
62,
11401,
10206,
62,
8220,
3535,
62,
39429,
62,
20373,
796,
705,
6435,
461,
34530,
5005,
6,
198,
26442,
62,
20373,
796,
366,
12393,
5189,
17688,
1,
198,
39,
11698,
62,
20373,
796,
366,
43223,
5189,
12393,
1,
198,
198,
2,
27262,
8251,
198,
2257,
2200,
2767,
62,
45,
16820,
62,
25216,
796,
366,
73,
4575,
1,
198,
2257,
2200,
2767,
62,
45,
16820,
62,
11401,
10206,
62,
39429,
6981,
796,
366,
22396,
6435,
461,
11522,
1,
198,
198,
2,
1004,
459,
1575,
35381,
11509,
198,
2538,
1921,
4825,
10892,
62,
8220,
25425,
796,
1542,
198,
2538,
1921,
4825,
10892,
62,
8220,
25425,
62,
20373,
796,
705,
43,
2257,
34,
1073,
891,
6,
198,
198,
2,
39440,
3219,
13015,
25,
198,
3955,
62,
47,
31688,
10426,
796,
366,
3955,
62,
1,
628,
198,
2,
25235,
3696,
1058,
198,
46506,
1961,
62,
19499,
26761,
20754,
62,
25664,
796,
366,
20274,
62,
11249,
654,
13,
1477,
79,
1,
198,
4944,
46506,
1961,
62,
19499,
26761,
20754,
62,
25664,
796,
366,
20274,
62,
403,
34213,
62,
11249,
654,
13,
1477,
79,
1,
198,
50,
3535,
35354,
62,
26288,
5446,
18379,
62,
1961,
48075,
62,
25664,
796,
366,
82,
2122,
62,
276,
3212,
13,
1477,
79,
1,
198,
50,
3535,
35354,
62,
40331,
6489,
56,
62,
1961,
48075,
62,
25664,
796,
366,
82,
2122,
62,
18608,
306,
13,
1477,
79,
1,
198,
50,
3535,
35354,
62,
15173,
62,
40331,
6489,
56,
62,
1961,
48075,
62,
25664,
796,
366,
82,
2122,
62,
727,
62,
18608,
306,
13,
1477,
79,
1,
198,
198,
50,
3535,
35354,
62,
2257,
47,
62,
1961,
48075,
62,
25664,
796,
366,
82,
2122,
62,
276,
3212,
62,
301,
79,
13,
1477,
79,
1,
198,
198,
2,
6624,
9297,
7340,
1268,
47134,
16309,
6624,
1303,
198,
35744,
2937,
62,
20373,
796,
366,
19580,
1,
198,
6369,
39149,
1961,
62,
20373,
796,
366,
3109,
10341,
1,
198,
6369,
39149,
1961,
62,
35744,
2937,
62,
39488,
796,
657,
198,
1268,
39149,
1961,
62,
20373,
796,
366,
818,
10341,
1,
198,
1268,
39149,
1961,
62,
35744,
2937,
62,
39488,
796,
352,
198,
6369,
8808,
2751,
62,
20373,
796,
366,
37447,
5884,
1,
198,
6369,
8808,
2751,
62,
35744,
2937,
62,
39488,
796,
362,
198,
2538,
1921,
4825,
10892,
62,
20373,
796,
366,
3123,
459,
6446,
1,
198,
2538,
1921,
4825,
10892,
62,
35744,
2937,
62,
39488,
796,
513,
198,
40331,
6489,
56,
62,
20608,
62,
20373,
796,
366,
3672,
1,
198,
198,
8220,
5959,
11879,
62,
9864,
23680,
9306,
62,
7206,
38865,
796,
2026,
220,
1303,
4064,
198,
198,
32782,
4805,
4503,
7597,
796,
6407,
198
] | 2.211051 | 1,104 |
"""Main module."""
# ! /usr/bin/env python
#
# python I2C
#
# (C)2020 Aleksandr Saiapin <[email protected]>
# (C)2006 Patrick Nomblot <[email protected]>
# this is distributed under a free software license, see license.txt
import time
from typing import List
from pyi2c.protocol import I2CProtocol
I2C_REGISTER_WRITE = 0
I2C_REGISTER_READ = 1
| [
37811,
13383,
8265,
526,
15931,
198,
2,
5145,
1220,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
198,
2,
21015,
314,
17,
34,
198,
2,
198,
2,
357,
34,
8,
42334,
9300,
591,
46273,
25251,
499,
259,
1279,
282,
301,
38409,
31,
14816,
13,
785,
29,
198,
2,
357,
34,
8,
13330,
9925,
399,
2381,
26487,
1279,
9078,
40,
17,
34,
31,
77,
2381,
26487,
13,
2398,
29,
198,
2,
428,
318,
9387,
739,
257,
1479,
3788,
5964,
11,
766,
5964,
13,
14116,
198,
198,
11748,
640,
198,
6738,
19720,
1330,
7343,
198,
198,
6738,
12972,
72,
17,
66,
13,
11235,
4668,
1330,
314,
17,
34,
19703,
4668,
198,
198,
40,
17,
34,
62,
31553,
41517,
62,
18564,
12709,
796,
657,
198,
40,
17,
34,
62,
31553,
41517,
62,
15675,
796,
352,
628,
198
] | 2.604478 | 134 |
from datetime import datetime, timedelta
import numpy as np
from ..api.sqlalchemy_declarative import ouraSleepSummary, ouraReadinessSummary, withings, athlete, stravaSummary, \
strydSummary, fitbod, workoutStepLog, dbRefreshStatus
from sqlalchemy import func, cast, Date
from sweat.io.models.dataframes import WorkoutDataFrame, Athlete
from sweat.pdm import critical_power
from sweat.metrics.core import weighted_average_power
from sweat.metrics.power import *
import stravalib
from ..api.stravaApi import get_strava_client
from ..api.spotifyAPI import generate_recommendation_playlists
from stravalib import unithelper
from ..api.pelotonApi import peloton_mapping_df, roundTime, set_peloton_workout_recommendations
from dateutil.relativedelta import relativedelta
from ..app import app
from .database import engine
from ..utils import peloton_credentials_supplied, stryd_credentials_supplied, config
import os
import pandas as pd
from ..pages.performance import get_hrv_df, readiness_score_recommendation
types = ['time', 'latlng', 'distance', 'altitude', 'velocity_smooth', 'heartrate', 'cadence', 'watts', 'temp',
'moving', 'grade_smooth']
def training_workflow(min_non_warmup_workout_time, metric='hrv_baseline', athlete_id=1):
'''
Query db for oura hrv data, calculate rolling 7 day average, generate recommended workout and store in db.
Once stored, continuously check if workout has been completed and fill in 'Compelted' field
'''
# https://www.alancouzens.com/blog/Training_prescription_guided_by_HRV_in_cycling.pdf
try:
db_process_flag(flag=True)
# Check if entire table is empty, if so the earliest hrv plan can start is after 30 days of hrv readings
# If using readiness score, just use first score available
db_test = pd.read_sql(
sql=app.session.query(workoutStepLog).filter(workoutStepLog.athlete_id == athlete_id).statement,
con=engine, index_col='date')
oura_data_exists = True
if len(db_test) == 0:
try:
if metric == 'hrv':
min_oura_date = pd.to_datetime(
app.session.query(func.min(ouraSleepSummary.report_date))[0][0] + timedelta(59)).date()
if metric in ['hrv_baseline', 'zscore']:
min_oura_date = pd.to_datetime(
app.session.query(func.min(ouraSleepSummary.report_date))[0][0] + timedelta(29)).date()
elif metric == 'readiness':
min_oura_date = pd.to_datetime(
app.session.query(func.min(ouraReadinessSummary.report_date))[0][0]).date()
db_test.at[min_oura_date, 'athlete_id'] = athlete_id
db_test.at[min_oura_date, 'workout_step'] = 0
db_test.at[min_oura_date, 'workout_step_desc'] = 'Low'
db_test.at[min_oura_date, 'completed'] = 0
db_test.at[min_oura_date, 'rationale'] = 'This is the first date hrv thresholds could be calculated'
db_test.to_sql('workout_step_log', engine, if_exists='append', index=True)
except BaseException as e:
app.server.logger.error(f'Check enough oura data exists to generate workout recommendation: {e}')
oura_data_exists = False
db_process_flag(flag=False)
if oura_data_exists:
# Check if a step has already been inserted for today and if so check if workout has been completed yet
todays_plan = app.session.query(workoutStepLog).filter(workoutStepLog.athlete_id == athlete_id,
workoutStepLog.date == datetime.today().date()).first()
if todays_plan:
# If not yet "completed" keep checking throughout day
if todays_plan.completed == 0:
# If rest day, mark as completed
if todays_plan.workout_step == 4 or todays_plan.workout_step == 5:
todays_plan.completed = 1
app.session.commit()
else:
workout = app.session.query(stravaSummary).filter(
stravaSummary.start_day_local == datetime.today().date(),
stravaSummary.elapsed_time > min_non_warmup_workout_time,
# Only include workouts with a workout type specified when checking if workout has been completed for hrv workflow (i.e. ignore 'Other' workouts uploaded from apple watch)
stravaSummary.type != 'Workout').first()
if workout:
todays_plan.completed = 1
app.session.commit()
# If plan not yet created for today, create it
else:
metric_df = get_hrv_df()
if metric == 'hrv':
metric_df['within_swc'] = metric_df['within_daily_swc']
elif metric == 'hrv_baseline':
metric_df['within_swc'] = metric_df['within_flowchart_swc']
# elif metric == 'zscore':
# metric_df['within_swc'] = metric_df['within_zscore_swc']
# Wait for today's hrv to be loaded into cloud
if metric_df.index.max() == datetime.today().date(): # or (datetime.now() - timedelta(hours=12)) > pd.to_datetime(datetime.today().date()):
step_log_df = pd.read_sql(
sql=app.session.query(workoutStepLog.date, workoutStepLog.workout_step,
workoutStepLog.completed).filter(
workoutStepLog.athlete_id == 1).statement,
con=engine, index_col='date').sort_index(ascending=False)
### Modified version of flow chart to allow for additional MOD day in step 2 ###
# Store the last value of step 2 to cycle between MOD->MOD->HIIT every 3rd time
try:
last_hiit_mod = \
step_log_df[
(step_log_df['workout_step'].isin([21, 22, 23])) & (step_log_df['completed'] == 1)][
'workout_step'].head(1).values[0]
except:
last_hiit_mod = 20
next_hiit_mod = last_hiit_mod + 1 if last_hiit_mod != 23 else 21
step_log_df = step_log_df[step_log_df.index == step_log_df.index.max()]
# Store last step in variable for starting point in loop
last_db_step = step_log_df['workout_step'].iloc[0]
# Resample to today
step_log_df.at[pd.to_datetime(datetime.today().date()), 'workout_step'] = None
step_log_df.set_index(pd.to_datetime(step_log_df.index), inplace=True)
step_log_df = step_log_df.resample('D').mean()
# Remove first row from df so it does not get re inserted into db
step_log_df = step_log_df.iloc[1:]
# We already know there is no step for today from "current_step" parameter, so manually add today's date
step_log_df.at[pd.to_datetime(datetime.today().date()), 'completed'] = 0
# Check if gap between today and max date in step log, if so merge in all workouts for 'completed' flag
if step_log_df['completed'].isnull().values.any():
workouts = pd.read_sql(
sql=app.session.query(stravaSummary.start_day_local, stravaSummary.activity_id).filter(
stravaSummary.elapsed_time > min_non_warmup_workout_time).statement, con=engine,
index_col='start_day_local')
# Resample workouts to the per day level - just take max activity_id in case they were more than 1 workout for that day to avoid duplication of hrv data
workouts.set_index(pd.to_datetime(workouts.index), inplace=True)
workouts = workouts.resample('D').max()
step_log_df = step_log_df.merge(workouts, how='left', left_index=True, right_index=True)
# Completed = True if a workout (not just warmup) was done on that day or was a rest day
for x in step_log_df.index:
step_log_df.at[x, 'completed'] = 0 if np.isnan(step_log_df.at[x, 'activity_id']) else 1
# Generate row with yesterdays plan completions status for looping below through workout cycle logic
step_log_df['completed_yesterday'] = step_log_df['completed'].shift(1)
# Drop historical rows that were used for 'yesterday calcs' so we are only working with todays data
# step_log_df = step_log_df.iloc[1:]
# Merge dfs
df = pd.merge(step_log_df, metric_df, how='left', right_index=True, left_index=True)
# If using oura readiness score we don't use workflow, just recommend intensity based on score
if metric == 'readiness':
df['workout_step'] = 99 # dummy value
df['workout_step_desc'] = df['score'].apply(readiness_score_recommendation)
df['rationale'] = 'Oura Readiness Score'
# TODO: Update every 3rd 'Mod' to HIIT
# If using ithlete zscore we don't use workflow
elif metric == 'zscore':
df['workout_step'] = 99 # dummy value
df['workout_step_desc'] = df['z_recommendation']
df['rationale'] = 'Z Score Matrix'
# TODO: Update every 3rd 'Mod' to HIIT
# If using hrv or hrv baseline, use workflow
else:
last_step = last_db_step
for i in df.index:
# Completed / Completed_yesterday could show erroneous data for rest days, as the 0 is brought in based off if a workout is found in strava summary
df.at[i, 'completed_yesterday'] = 1 if last_step == 4 or last_step == 5 else df.at[
i, 'completed_yesterday']
# hrv_increase = df.at[i, 'rmssd_7'] >= df.at[i, 'rmssd_7_yesterday']
within_swc = df.at[i, 'within_swc']
# ### Low Threshold Exceptions ###
# # If lower threshold is crossed, switch to low intensity track
# if df.at[i, 'lower_threshold_crossed'] == True:
# current_step = 4
# rationale = '7 day HRV average crossed the lower threshold.'
# app.server.logger.debug('Lower threshold crossed. Setting current step = 4')
# # If we are below lower threshold, rest until back over threshold
# elif df.at[i, 'under_low_threshold'] == True:
# current_step = 5
# rationale = '7 day HRV average is under the lower threshold.'
# app.server.logger.debug('HRV is under threshold. Setting current step = 5')
# ### Upper Threshold Exceptions ###
# # If upper threshold is crossed, switch to high intensity
# elif df.at[i, 'upper_threshold_crossed'] == True:
# current_step = 1
# rationale = '7 day HRV average crossed the upper threshold.'
# app.server.logger.debug('Upper threshold crossed. Setting current step = 1')
# # If we are above upper threshold, load high intensity until back under threshold
# elif df.at[i, 'over_upper_threshold'] == True:
# if hrv_increase:
# current_step = 1
# rationale = '7 day HRV average increased and is still over the upper threshold.'
# else:
# current_step = 2
# rationale = "7 day HRV average decreased but is still over the upper threshold."
# app.server.logger.debug(
# 'HRV is above threshold. Setting current step = {}.'.format(current_step))
### Missed Workout Exceptions ###
# If workout was not completed yesterday but we are still within thresholds maintain current step
if df.at[i, 'completed_yesterday'] == 0 and within_swc and last_step in [1, 21, 22, 23]:
current_step = last_step
rationale = "Yesterday's workout was not completed and we are still within SWC."
app.server.logger.debug(
'No workout detected for previous day however still within thresholds. Maintaining last step = {}'.format(
current_step))
else:
app.server.logger.debug(
'No exceptions detected. Following the normal workout plan workflow.')
rationale = 'Normal workout plan workflow.'
# Workout workflow logic when no exceptions
if last_step == 0:
current_step = 1
elif last_step == 1:
current_step = next_hiit_mod if within_swc else 6
elif last_step in [21, 22, 23]:
current_step = 3
elif last_step == 3:
current_step = 1 if within_swc else 4
elif last_step == 4:
current_step = 6 if within_swc else 5
elif last_step == 5:
current_step = 6
elif last_step == 6:
current_step = 1 if within_swc else 4
df.at[i, 'completed'] = 1 if current_step == 4 or current_step == 5 else df.at[
i, 'completed']
df.at[i, 'workout_step'] = current_step
last_step = current_step
# Map descriptions and alternate every HIIT and Mod
df.at[i, 'workout_step_desc'] = \
{0: 'Low', 1: 'High', 21: 'Mod', 22: 'Mod', 23: 'HIIT', 3: 'Low', 4: 'Rest', 5: 'Rest',
6: 'Low'}[
df.at[i, 'workout_step']]
if df.at[i, 'workout_step'] in [21, 22, 23] and df.at[i, 'completed'] == 1:
next_hiit_mod = next_hiit_mod + 1 if next_hiit_mod != 23 else 21
df.at[i, 'rationale'] = rationale
df['athlete_id'] = athlete_id
df.reset_index(inplace=True)
# Insert into db
df = df[['athlete_id', 'date', 'workout_step', 'workout_step_desc', 'completed', 'rationale']]
df['date'] = df['date'].dt.date
df.to_sql('workout_step_log', engine, if_exists='append', index=False)
# Bookmark peloton classes
if peloton_credentials_supplied:
set_peloton_workout_recommendations()
# Create spotify playlist based on workout intensity recommendation
athlete_info = app.session.query(athlete).filter(athlete.athlete_id == 1).first()
app.session.remove()
if athlete_info.spotify_playlists_switch == True:
generate_recommendation_playlists(
workout_intensity=df['workout_step_desc'].tail(1).values[0].lower().replace('hiit',
'mod') if athlete_info.spotify_use_rec_intensity else 'workout',
normalize=True,
time_period=athlete_info.spotify_time_period,
num_playlists=athlete_info.spotify_num_playlists)
except BaseException as e: # If workflow fails be sure to turn off processing flag
app.server.logger.error(e)
db_process_flag(flag=False)
app.session.remove()
| [
6738,
4818,
8079,
1330,
4818,
8079,
11,
28805,
12514,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
11485,
15042,
13,
25410,
282,
26599,
62,
32446,
283,
876,
1330,
674,
64,
40555,
22093,
11,
674,
64,
5569,
1272,
22093,
11,
351,
654,
11,
16076,
11,
3534,
6862,
22093,
11,
3467,
198,
220,
220,
220,
336,
563,
67,
22093,
11,
4197,
65,
375,
11,
17578,
8600,
11187,
11,
20613,
8134,
3447,
19580,
198,
6738,
44161,
282,
26599,
1330,
25439,
11,
3350,
11,
7536,
198,
6738,
15488,
13,
952,
13,
27530,
13,
7890,
37805,
1330,
5521,
448,
6601,
19778,
11,
13548,
5807,
198,
6738,
15488,
13,
30094,
76,
1330,
4688,
62,
6477,
198,
6738,
15488,
13,
4164,
10466,
13,
7295,
1330,
26356,
62,
23913,
62,
6477,
198,
6738,
15488,
13,
4164,
10466,
13,
6477,
1330,
1635,
198,
11748,
3534,
2100,
571,
198,
6738,
11485,
15042,
13,
301,
4108,
64,
32,
14415,
1330,
651,
62,
301,
4108,
64,
62,
16366,
198,
6738,
11485,
15042,
13,
20485,
1958,
17614,
1330,
7716,
62,
47335,
437,
341,
62,
1759,
20713,
198,
6738,
3534,
2100,
571,
1330,
4326,
2978,
525,
198,
6738,
11485,
15042,
13,
30242,
18970,
32,
14415,
1330,
16176,
18970,
62,
76,
5912,
62,
7568,
11,
2835,
7575,
11,
900,
62,
30242,
18970,
62,
1818,
448,
62,
47335,
437,
602,
198,
6738,
3128,
22602,
13,
2411,
265,
1572,
12514,
1330,
48993,
1572,
12514,
198,
6738,
11485,
1324,
1330,
598,
198,
6738,
764,
48806,
1330,
3113,
198,
6738,
11485,
26791,
1330,
16176,
18970,
62,
66,
445,
14817,
62,
18608,
18511,
11,
336,
563,
67,
62,
66,
445,
14817,
62,
18608,
18511,
11,
4566,
198,
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
198,
6738,
11485,
31126,
13,
26585,
1330,
651,
62,
11840,
85,
62,
7568,
11,
30618,
62,
26675,
62,
47335,
437,
341,
198,
198,
19199,
796,
37250,
2435,
3256,
705,
15460,
75,
782,
3256,
705,
30246,
3256,
705,
2501,
3984,
3256,
705,
626,
11683,
62,
5796,
5226,
3256,
705,
11499,
4873,
3256,
705,
66,
324,
594,
3256,
705,
86,
30353,
3256,
705,
29510,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
705,
31462,
3256,
705,
9526,
62,
5796,
5226,
20520,
628,
628,
628,
198,
4299,
3047,
62,
1818,
11125,
7,
1084,
62,
13159,
62,
31975,
929,
62,
1818,
448,
62,
2435,
11,
18663,
11639,
11840,
85,
62,
12093,
4470,
3256,
16076,
62,
312,
28,
16,
2599,
198,
220,
220,
220,
705,
7061,
198,
220,
220,
220,
43301,
20613,
329,
674,
64,
39436,
85,
1366,
11,
15284,
10708,
767,
1110,
2811,
11,
7716,
7151,
17578,
290,
3650,
287,
20613,
13,
198,
220,
220,
220,
4874,
8574,
11,
17282,
2198,
611,
17578,
468,
587,
5668,
290,
6070,
287,
705,
7293,
417,
1513,
6,
2214,
198,
220,
220,
220,
705,
7061,
628,
220,
220,
220,
1303,
3740,
1378,
2503,
13,
282,
1192,
280,
8247,
13,
785,
14,
14036,
14,
44357,
62,
18302,
6820,
62,
23657,
62,
1525,
62,
17184,
53,
62,
259,
62,
948,
8493,
13,
12315,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
14681,
62,
32109,
7,
32109,
28,
17821,
8,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
6822,
611,
2104,
3084,
318,
6565,
11,
611,
523,
262,
14555,
39436,
85,
1410,
460,
923,
318,
706,
1542,
1528,
286,
39436,
85,
24654,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1262,
30618,
4776,
11,
655,
779,
717,
4776,
1695,
198,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
796,
279,
67,
13,
961,
62,
25410,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
44161,
28,
1324,
13,
29891,
13,
22766,
7,
1818,
448,
8600,
11187,
737,
24455,
7,
1818,
448,
8600,
11187,
13,
776,
5807,
62,
312,
6624,
16076,
62,
312,
737,
26090,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
369,
28,
18392,
11,
6376,
62,
4033,
11639,
4475,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
674,
64,
62,
7890,
62,
1069,
1023,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
9945,
62,
9288,
8,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18663,
6624,
705,
11840,
85,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
949,
62,
280,
430,
62,
4475,
796,
279,
67,
13,
1462,
62,
19608,
8079,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
29891,
13,
22766,
7,
20786,
13,
1084,
7,
280,
430,
40555,
22093,
13,
13116,
62,
4475,
4008,
58,
15,
7131,
15,
60,
1343,
28805,
12514,
7,
3270,
29720,
4475,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18663,
287,
37250,
11840,
85,
62,
12093,
4470,
3256,
705,
89,
26675,
6,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
949,
62,
280,
430,
62,
4475,
796,
279,
67,
13,
1462,
62,
19608,
8079,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
29891,
13,
22766,
7,
20786,
13,
1084,
7,
280,
430,
40555,
22093,
13,
13116,
62,
4475,
4008,
58,
15,
7131,
15,
60,
1343,
28805,
12514,
7,
1959,
29720,
4475,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
18663,
6624,
705,
961,
1272,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
949,
62,
280,
430,
62,
4475,
796,
279,
67,
13,
1462,
62,
19608,
8079,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
29891,
13,
22766,
7,
20786,
13,
1084,
7,
280,
430,
5569,
1272,
22093,
13,
13116,
62,
4475,
4008,
58,
15,
7131,
15,
35944,
4475,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
13,
265,
58,
1084,
62,
280,
430,
62,
4475,
11,
705,
776,
5807,
62,
312,
20520,
796,
16076,
62,
312,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
13,
265,
58,
1084,
62,
280,
430,
62,
4475,
11,
705,
1818,
448,
62,
9662,
20520,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
13,
265,
58,
1084,
62,
280,
430,
62,
4475,
11,
705,
1818,
448,
62,
9662,
62,
20147,
20520,
796,
705,
20535,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
13,
265,
58,
1084,
62,
280,
430,
62,
4475,
11,
705,
785,
16838,
20520,
796,
657,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
13,
265,
58,
1084,
62,
280,
430,
62,
4475,
11,
705,
20310,
68,
20520,
796,
705,
1212,
318,
262,
717,
3128,
39436,
85,
40885,
714,
307,
10488,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
9288,
13,
1462,
62,
25410,
10786,
1818,
448,
62,
9662,
62,
6404,
3256,
3113,
11,
611,
62,
1069,
1023,
11639,
33295,
3256,
6376,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
7308,
16922,
355,
304,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
18224,
7,
69,
6,
9787,
1576,
674,
64,
1366,
7160,
284,
7716,
17578,
15602,
25,
1391,
68,
92,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
674,
64,
62,
7890,
62,
1069,
1023,
796,
10352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
14681,
62,
32109,
7,
32109,
28,
25101,
8,
628,
220,
220,
220,
220,
220,
220,
220,
611,
674,
64,
62,
7890,
62,
1069,
1023,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
6822,
611,
257,
2239,
468,
1541,
587,
18846,
329,
1909,
290,
611,
523,
2198,
611,
17578,
468,
587,
5668,
1865,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
284,
12545,
62,
11578,
796,
598,
13,
29891,
13,
22766,
7,
1818,
448,
8600,
11187,
737,
24455,
7,
1818,
448,
8600,
11187,
13,
776,
5807,
62,
312,
6624,
16076,
62,
312,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17578,
8600,
11187,
13,
4475,
6624,
4818,
8079,
13,
40838,
22446,
4475,
3419,
737,
11085,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
284,
12545,
62,
11578,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
407,
1865,
366,
785,
16838,
1,
1394,
10627,
3690,
1110,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
284,
12545,
62,
11578,
13,
785,
16838,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1334,
1110,
11,
1317,
355,
5668,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
284,
12545,
62,
11578,
13,
1818,
448,
62,
9662,
6624,
604,
393,
284,
12545,
62,
11578,
13,
1818,
448,
62,
9662,
6624,
642,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
284,
12545,
62,
11578,
13,
785,
16838,
796,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
29891,
13,
41509,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17578,
796,
598,
13,
29891,
13,
22766,
7,
301,
4108,
64,
22093,
737,
24455,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3534,
6862,
22093,
13,
9688,
62,
820,
62,
12001,
6624,
4818,
8079,
13,
40838,
22446,
4475,
22784,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3534,
6862,
22093,
13,
417,
28361,
62,
2435,
1875,
949,
62,
13159,
62,
31975,
929,
62,
1818,
448,
62,
2435,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
5514,
2291,
27197,
351,
257,
17578,
2099,
7368,
618,
10627,
611,
17578,
468,
587,
5668,
329,
39436,
85,
30798,
357,
72,
13,
68,
13,
8856,
705,
6395,
6,
27197,
19144,
422,
17180,
2342,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3534,
6862,
22093,
13,
4906,
14512,
705,
12468,
448,
27691,
11085,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
17578,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
284,
12545,
62,
11578,
13,
785,
16838,
796,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
29891,
13,
41509,
3419,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1410,
407,
1865,
2727,
329,
1909,
11,
2251,
340,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
18663,
62,
7568,
796,
651,
62,
11840,
85,
62,
7568,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18663,
6624,
705,
11840,
85,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
18663,
62,
7568,
17816,
33479,
62,
2032,
66,
20520,
796,
18663,
62,
7568,
17816,
33479,
62,
29468,
62,
2032,
66,
20520,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
18663,
6624,
705,
11840,
85,
62,
12093,
4470,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
18663,
62,
7568,
17816,
33479,
62,
2032,
66,
20520,
796,
18663,
62,
7568,
17816,
33479,
62,
11125,
40926,
62,
2032,
66,
20520,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1288,
361,
18663,
6624,
705,
89,
26675,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
18663,
62,
7568,
17816,
33479,
62,
2032,
66,
20520,
796,
18663,
62,
7568,
17816,
33479,
62,
89,
26675,
62,
2032,
66,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
16314,
329,
1909,
338,
39436,
85,
284,
307,
9639,
656,
6279,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18663,
62,
7568,
13,
9630,
13,
9806,
3419,
6624,
4818,
8079,
13,
40838,
22446,
4475,
33529,
220,
1303,
393,
357,
19608,
8079,
13,
2197,
3419,
532,
28805,
12514,
7,
24425,
28,
1065,
4008,
1875,
279,
67,
13,
1462,
62,
19608,
8079,
7,
19608,
8079,
13,
40838,
22446,
4475,
3419,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
796,
279,
67,
13,
961,
62,
25410,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
44161,
28,
1324,
13,
29891,
13,
22766,
7,
1818,
448,
8600,
11187,
13,
4475,
11,
17578,
8600,
11187,
13,
1818,
448,
62,
9662,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17578,
8600,
11187,
13,
785,
16838,
737,
24455,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17578,
8600,
11187,
13,
776,
5807,
62,
312,
6624,
352,
737,
26090,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
369,
28,
18392,
11,
6376,
62,
4033,
11639,
4475,
27691,
30619,
62,
9630,
7,
3372,
1571,
28,
25101,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
44386,
40499,
2196,
286,
5202,
8262,
284,
1249,
329,
3224,
19164,
1110,
287,
2239,
362,
44386,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
9363,
262,
938,
1988,
286,
2239,
362,
284,
6772,
1022,
19164,
3784,
33365,
3784,
25374,
2043,
790,
513,
4372,
640,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
938,
62,
5303,
270,
62,
4666,
796,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
58,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
357,
9662,
62,
6404,
62,
7568,
17816,
1818,
448,
62,
9662,
6,
4083,
45763,
26933,
2481,
11,
2534,
11,
2242,
60,
4008,
1222,
357,
9662,
62,
6404,
62,
7568,
17816,
785,
16838,
20520,
6624,
352,
8,
7131,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
1818,
448,
62,
9662,
6,
4083,
2256,
7,
16,
737,
27160,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2845,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
938,
62,
5303,
270,
62,
4666,
796,
1160,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1306,
62,
5303,
270,
62,
4666,
796,
938,
62,
5303,
270,
62,
4666,
1343,
352,
611,
938,
62,
5303,
270,
62,
4666,
14512,
2242,
2073,
2310,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
796,
2239,
62,
6404,
62,
7568,
58,
9662,
62,
6404,
62,
7568,
13,
9630,
6624,
2239,
62,
6404,
62,
7568,
13,
9630,
13,
9806,
3419,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
9363,
938,
2239,
287,
7885,
329,
3599,
966,
287,
9052,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
938,
62,
9945,
62,
9662,
796,
2239,
62,
6404,
62,
7568,
17816,
1818,
448,
62,
9662,
6,
4083,
346,
420,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1874,
1403,
284,
1909,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
13,
265,
58,
30094,
13,
1462,
62,
19608,
8079,
7,
19608,
8079,
13,
40838,
22446,
4475,
3419,
828,
705,
1818,
448,
62,
9662,
20520,
796,
6045,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
13,
2617,
62,
9630,
7,
30094,
13,
1462,
62,
19608,
8079,
7,
9662,
62,
6404,
62,
7568,
13,
9630,
828,
287,
5372,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
796,
2239,
62,
6404,
62,
7568,
13,
411,
1403,
10786,
35,
27691,
32604,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
17220,
717,
5752,
422,
47764,
523,
340,
857,
407,
651,
302,
18846,
656,
20613,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
796,
2239,
62,
6404,
62,
7568,
13,
346,
420,
58,
16,
47715,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
775,
1541,
760,
612,
318,
645,
2239,
329,
1909,
422,
366,
14421,
62,
9662,
1,
11507,
11,
523,
14500,
751,
1909,
338,
3128,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
13,
265,
58,
30094,
13,
1462,
62,
19608,
8079,
7,
19608,
8079,
13,
40838,
22446,
4475,
3419,
828,
705,
785,
16838,
20520,
796,
657,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
6822,
611,
7625,
1022,
1909,
290,
3509,
3128,
287,
2239,
2604,
11,
611,
523,
20121,
287,
477,
27197,
329,
705,
785,
16838,
6,
6056,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2239,
62,
6404,
62,
7568,
17816,
785,
16838,
6,
4083,
271,
8423,
22446,
27160,
13,
1092,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
27197,
796,
279,
67,
13,
961,
62,
25410,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
44161,
28,
1324,
13,
29891,
13,
22766,
7,
301,
4108,
64,
22093,
13,
9688,
62,
820,
62,
12001,
11,
3534,
6862,
22093,
13,
21797,
62,
312,
737,
24455,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3534,
6862,
22093,
13,
417,
28361,
62,
2435,
1875,
949,
62,
13159,
62,
31975,
929,
62,
1818,
448,
62,
2435,
737,
26090,
11,
369,
28,
18392,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6376,
62,
4033,
11639,
9688,
62,
820,
62,
12001,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1874,
1403,
27197,
284,
262,
583,
1110,
1241,
532,
655,
1011,
3509,
3842,
62,
312,
287,
1339,
484,
547,
517,
621,
352,
17578,
329,
326,
1110,
284,
3368,
50124,
286,
39436,
85,
1366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
27197,
13,
2617,
62,
9630,
7,
30094,
13,
1462,
62,
19608,
8079,
7,
1818,
5269,
13,
9630,
828,
287,
5372,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
27197,
796,
27197,
13,
411,
1403,
10786,
35,
27691,
9806,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
796,
2239,
62,
6404,
62,
7568,
13,
647,
469,
7,
1818,
5269,
11,
703,
11639,
9464,
3256,
1364,
62,
9630,
28,
17821,
11,
826,
62,
9630,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
32983,
796,
6407,
611,
257,
17578,
357,
1662,
655,
5814,
929,
8,
373,
1760,
319,
326,
1110,
393,
373,
257,
1334,
1110,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
2124,
287,
2239,
62,
6404,
62,
7568,
13,
9630,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
13,
265,
58,
87,
11,
705,
785,
16838,
20520,
796,
657,
611,
45941,
13,
271,
12647,
7,
9662,
62,
6404,
62,
7568,
13,
265,
58,
87,
11,
705,
21797,
62,
312,
6,
12962,
2073,
352,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
2980,
378,
5752,
351,
3763,
353,
12545,
1410,
1224,
45240,
3722,
329,
9052,
278,
2174,
832,
17578,
6772,
9156,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2239,
62,
6404,
62,
7568,
17816,
785,
16838,
62,
8505,
6432,
20520,
796,
2239,
62,
6404,
62,
7568,
17816,
785,
16838,
6,
4083,
30846,
7,
16,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
14258,
6754,
15274,
326,
547,
973,
329,
705,
8505,
6432,
2386,
6359,
6,
523,
356,
389,
691,
1762,
351,
284,
12545,
1366,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
2239,
62,
6404,
62,
7568,
796,
2239,
62,
6404,
62,
7568,
13,
346,
420,
58,
16,
47715,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
39407,
288,
9501,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
796,
279,
67,
13,
647,
469,
7,
9662,
62,
6404,
62,
7568,
11,
18663,
62,
7568,
11,
703,
11639,
9464,
3256,
826,
62,
9630,
28,
17821,
11,
1364,
62,
9630,
28,
17821,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1262,
674,
64,
30618,
4776,
356,
836,
470,
779,
30798,
11,
655,
4313,
12245,
1912,
319,
4776,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18663,
6624,
705,
961,
1272,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
1818,
448,
62,
9662,
20520,
796,
7388,
220,
1303,
31548,
1988,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
1818,
448,
62,
9662,
62,
20147,
20520,
796,
47764,
17816,
26675,
6,
4083,
39014,
7,
961,
1272,
62,
26675,
62,
47335,
437,
341,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
20310,
68,
20520,
796,
705,
5122,
64,
4149,
1272,
15178,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
16926,
46,
25,
10133,
790,
513,
4372,
705,
5841,
6,
284,
36210,
2043,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1262,
340,
71,
5807,
1976,
26675,
356,
836,
470,
779,
30798,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
18663,
6624,
705,
89,
26675,
10354,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
1818,
448,
62,
9662,
20520,
796,
7388,
220,
1303,
31548,
1988,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
1818,
448,
62,
9662,
62,
20147,
20520,
796,
47764,
17816,
89,
62,
47335,
437,
341,
20520,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
20310,
68,
20520,
796,
705,
57,
15178,
24936,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
16926,
46,
25,
10133,
790,
513,
4372,
705,
5841,
6,
284,
36210,
2043,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
1262,
39436,
85,
393,
39436,
85,
14805,
11,
779,
30798,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
938,
62,
9662,
796,
938,
62,
9945,
62,
9662,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
1312,
287,
47764,
13,
9630,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
32983,
1220,
32983,
62,
8505,
6432,
714,
905,
35366,
1366,
329,
1334,
1528,
11,
355,
262,
657,
318,
3181,
287,
1912,
572,
611,
257,
17578,
318,
1043,
287,
3534,
6862,
10638,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
265,
58,
72,
11,
705,
785,
16838,
62,
8505,
6432,
20520,
796,
352,
611,
938,
62,
9662,
6624,
604,
393,
938,
62,
9662,
6624,
642,
2073,
47764,
13,
265,
58,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1312,
11,
705,
785,
16838,
62,
8505,
6432,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
39436,
85,
62,
24988,
589,
796,
47764,
13,
265,
58,
72,
11,
705,
26224,
824,
67,
62,
22,
20520,
18189,
47764,
13,
265,
58,
72,
11,
705,
26224,
824,
67,
62,
22,
62,
8505,
6432,
20520,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1626,
62,
2032,
66,
796,
47764,
13,
265,
58,
72,
11,
705,
33479,
62,
2032,
66,
20520,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
44386,
7754,
536,
10126,
1475,
11755,
44386,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1303,
1002,
2793,
11387,
318,
12606,
11,
5078,
284,
1877,
12245,
2610,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
611,
47764,
13,
265,
58,
72,
11,
705,
21037,
62,
400,
10126,
62,
19692,
276,
20520,
6624,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
1459,
62,
9662,
796,
604,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
25738,
796,
705,
22,
1110,
15172,
53,
2811,
12606,
262,
2793,
11387,
2637,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
24442,
10786,
31426,
11387,
12606,
13,
25700,
1459,
2239,
796,
604,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1303,
1002,
356,
389,
2174,
2793,
11387,
11,
1334,
1566,
736,
625,
11387,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1288,
361,
47764,
13,
265,
58,
72,
11,
705,
4625,
62,
9319,
62,
400,
10126,
20520,
6624,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
1459,
62,
9662,
796,
642,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
25738,
796,
705,
22,
1110,
15172,
53,
2811,
318,
739,
262,
2793,
11387,
2637,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
24442,
10786,
17184,
53,
318,
739,
11387,
13,
25700,
1459,
2239,
796,
642,
11537,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
44386,
20390,
536,
10126,
1475,
11755,
44386,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1303,
1002,
6727,
11387,
318,
12606,
11,
5078,
284,
1029,
220,
12245,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1288,
361,
47764,
13,
265,
58,
72,
11,
705,
45828,
62,
400,
10126,
62,
19692,
276,
20520,
6624,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
1459,
62,
9662,
796,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
25738,
796,
705,
22,
1110,
15172,
53,
2811,
12606,
262,
6727,
11387,
2637,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
24442,
10786,
52,
2848,
11387,
12606,
13,
25700,
1459,
2239,
796,
352,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1303,
1002,
356,
389,
2029,
6727,
11387,
11,
3440,
1029,
12245,
1566,
736,
739,
11387,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1288,
361,
47764,
13,
265,
58,
72,
11,
705,
2502,
62,
45828,
62,
400,
10126,
20520,
6624,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
611,
39436,
85,
62,
24988,
589,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
25738,
796,
705,
22,
1110,
15172,
53,
2811,
3220,
290,
318,
991,
625,
262,
6727,
11387,
2637,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
362,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
25738,
796,
366,
22,
1110,
15172,
53,
2811,
11832,
475,
318,
991,
625,
262,
6727,
11387,
526,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
24442,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
705,
17184,
53,
318,
2029,
11387,
13,
25700,
1459,
2239,
796,
23884,
2637,
13,
18982,
7,
14421,
62,
9662,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
44386,
4544,
276,
5521,
448,
1475,
11755,
44386,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1002,
17578,
373,
407,
5668,
7415,
475,
356,
389,
991,
1626,
40885,
5529,
1459,
2239,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
47764,
13,
265,
58,
72,
11,
705,
785,
16838,
62,
8505,
6432,
20520,
6624,
657,
290,
1626,
62,
2032,
66,
290,
938,
62,
9662,
287,
685,
16,
11,
2310,
11,
2534,
11,
2242,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
938,
62,
9662,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25738,
796,
366,
28065,
338,
17578,
373,
407,
5668,
290,
356,
389,
991,
1626,
12672,
34,
526,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
24442,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
2949,
17578,
12326,
329,
2180,
1110,
2158,
991,
1626,
40885,
13,
337,
2913,
1397,
938,
2239,
796,
23884,
4458,
18982,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
24442,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
2949,
13269,
12326,
13,
14207,
262,
3487,
17578,
1410,
30798,
2637,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
25738,
796,
705,
26447,
17578,
1410,
30798,
2637,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
5521,
448,
30798,
9156,
618,
645,
13269,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
938,
62,
9662,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
938,
62,
9662,
6624,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
1306,
62,
5303,
270,
62,
4666,
611,
1626,
62,
2032,
66,
2073,
718,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
938,
62,
9662,
287,
685,
2481,
11,
2534,
11,
2242,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
513,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
938,
62,
9662,
6624,
513,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
352,
611,
1626,
62,
2032,
66,
2073,
604,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
938,
62,
9662,
6624,
604,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
718,
611,
1626,
62,
2032,
66,
2073,
642,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
938,
62,
9662,
6624,
642,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
718,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
938,
62,
9662,
6624,
718,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1459,
62,
9662,
796,
352,
611,
1626,
62,
2032,
66,
2073,
604,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
265,
58,
72,
11,
705,
785,
16838,
20520,
796,
352,
611,
1459,
62,
9662,
6624,
604,
393,
1459,
62,
9662,
6624,
642,
2073,
47764,
13,
265,
58,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1312,
11,
705,
785,
16838,
20520,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
265,
58,
72,
11,
705,
1818,
448,
62,
9662,
20520,
796,
1459,
62,
9662,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
938,
62,
9662,
796,
1459,
62,
9662,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
9347,
16969,
290,
13527,
790,
36210,
2043,
290,
3401,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
265,
58,
72,
11,
705,
1818,
448,
62,
9662,
62,
20147,
20520,
796,
3467,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1391,
15,
25,
705,
20535,
3256,
352,
25,
705,
11922,
3256,
2310,
25,
705,
5841,
3256,
2534,
25,
705,
5841,
3256,
2242,
25,
705,
25374,
2043,
3256,
513,
25,
705,
20535,
3256,
604,
25,
705,
19452,
3256,
642,
25,
705,
19452,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
718,
25,
705,
20535,
6,
92,
58,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
265,
58,
72,
11,
705,
1818,
448,
62,
9662,
6,
11907,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
47764,
13,
265,
58,
72,
11,
705,
1818,
448,
62,
9662,
20520,
287,
685,
2481,
11,
2534,
11,
2242,
60,
290,
47764,
13,
265,
58,
72,
11,
705,
785,
16838,
20520,
6624,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1306,
62,
5303,
270,
62,
4666,
796,
1306,
62,
5303,
270,
62,
4666,
1343,
352,
611,
1306,
62,
5303,
270,
62,
4666,
14512,
2242,
2073,
2310,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
265,
58,
72,
11,
705,
20310,
68,
20520,
796,
25738,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
776,
5807,
62,
312,
20520,
796,
16076,
62,
312,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
42503,
62,
9630,
7,
259,
5372,
28,
17821,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
35835,
656,
20613,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
796,
47764,
58,
17816,
776,
5807,
62,
312,
3256,
705,
4475,
3256,
705,
1818,
448,
62,
9662,
3256,
705,
1818,
448,
62,
9662,
62,
20147,
3256,
705,
785,
16838,
3256,
705,
20310,
68,
6,
11907,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
17816,
4475,
20520,
796,
47764,
17816,
4475,
6,
4083,
28664,
13,
4475,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
47764,
13,
1462,
62,
25410,
10786,
1818,
448,
62,
9662,
62,
6404,
3256,
3113,
11,
611,
62,
1069,
1023,
11639,
33295,
3256,
6376,
28,
25101,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
4897,
4102,
16176,
18970,
6097,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
16176,
18970,
62,
66,
445,
14817,
62,
18608,
18511,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
900,
62,
30242,
18970,
62,
1818,
448,
62,
47335,
437,
602,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
13610,
4136,
1958,
33178,
1912,
319,
17578,
12245,
15602,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
16076,
62,
10951,
796,
598,
13,
29891,
13,
22766,
7,
776,
5807,
737,
24455,
7,
776,
5807,
13,
776,
5807,
62,
312,
6624,
352,
737,
11085,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
598,
13,
29891,
13,
28956,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
16076,
62,
10951,
13,
20485,
1958,
62,
1759,
20713,
62,
31943,
6624,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7716,
62,
47335,
437,
341,
62,
1759,
20713,
7,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
17578,
62,
47799,
28,
7568,
17816,
1818,
448,
62,
9662,
62,
20147,
6,
4083,
13199,
7,
16,
737,
27160,
58,
15,
4083,
21037,
22446,
33491,
10786,
5303,
270,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
4666,
11537,
611,
16076,
62,
10951,
13,
20485,
1958,
62,
1904,
62,
8344,
62,
47799,
2073,
705,
1818,
448,
3256,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3487,
1096,
28,
17821,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
640,
62,
41007,
28,
776,
5807,
62,
10951,
13,
20485,
1958,
62,
2435,
62,
41007,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
997,
62,
1759,
20713,
28,
776,
5807,
62,
10951,
13,
20485,
1958,
62,
22510,
62,
1759,
20713,
8,
628,
220,
220,
220,
2845,
7308,
16922,
355,
304,
25,
220,
1303,
1002,
30798,
10143,
307,
1654,
284,
1210,
572,
7587,
6056,
198,
220,
220,
220,
220,
220,
220,
220,
598,
13,
15388,
13,
6404,
1362,
13,
18224,
7,
68,
8,
198,
220,
220,
220,
220,
220,
220,
220,
20613,
62,
14681,
62,
32109,
7,
32109,
28,
25101,
8,
628,
220,
220,
220,
598,
13,
29891,
13,
28956,
3419,
198
] | 1.913225 | 9,081 |
from flask import Flask, jsonify
from OpenSSL import SSL
app = Flask(__name__)
context = SSL.Context(SSL.TLSv1_1_METHOD)
context.use_privatekey_file("server.key")
context.use_certificate_file("server.crt")
@app.route("/")
@app.route("/data")
if __name__ == "__main__":
app.run(ssl_context=context)
| [
6738,
42903,
1330,
46947,
11,
33918,
1958,
198,
6738,
4946,
31127,
1330,
25952,
198,
198,
1324,
796,
46947,
7,
834,
3672,
834,
8,
198,
22866,
796,
25952,
13,
21947,
7,
31127,
13,
51,
6561,
85,
16,
62,
16,
62,
49273,
8,
198,
22866,
13,
1904,
62,
19734,
2539,
62,
7753,
7203,
15388,
13,
2539,
4943,
198,
22866,
13,
1904,
62,
22583,
22460,
62,
7753,
7203,
15388,
13,
6098,
83,
4943,
628,
198,
31,
1324,
13,
38629,
7203,
14,
4943,
628,
198,
31,
1324,
13,
38629,
7203,
14,
7890,
4943,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
598,
13,
5143,
7,
45163,
62,
22866,
28,
22866,
8,
198
] | 2.663793 | 116 |
#!/usr/bin/env python
"""
moveit_fk_demo.py - Version 0.1.1 2015-08-26
Use forward kinemtatics to move the arm to a specified set of joint angles
Copyright 2014 by Patrick Goebel <[email protected], www.pirobot.org>
Copyright 2015 by YS Pyo <[email protected]>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.5
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details at:
http://www.gnu.org/licenses/gpl.html
"""
import rospy
import sys
import moveit_commander
from control_msgs.msg import GripperCommand
GROUP_NAME_ARM = 'l_arm'
GROUP_NAME_GRIPPER = 'l_gripper'
if __name__ == "__main__":
try:
MoveItFKDemo()
except rospy.ROSInterruptException:
pass
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
198,
37811,
198,
220,
220,
220,
1445,
270,
62,
69,
74,
62,
9536,
78,
13,
9078,
532,
10628,
657,
13,
16,
13,
16,
1853,
12,
2919,
12,
2075,
628,
220,
220,
220,
5765,
2651,
479,
7749,
83,
23372,
284,
1445,
262,
3211,
284,
257,
7368,
900,
286,
6466,
18333,
628,
220,
220,
220,
15069,
1946,
416,
9925,
1514,
1765,
417,
1279,
29615,
31,
79,
7058,
13645,
13,
2398,
11,
7324,
13,
79,
7058,
13645,
13,
2398,
29,
198,
220,
220,
220,
15069,
1853,
416,
575,
50,
350,
8226,
1279,
6603,
295,
85,
19397,
31,
14816,
13,
785,
29,
628,
220,
220,
220,
770,
1430,
318,
1479,
3788,
26,
345,
460,
17678,
4163,
340,
290,
14,
273,
13096,
198,
220,
220,
220,
340,
739,
262,
2846,
286,
262,
22961,
3611,
5094,
13789,
355,
3199,
416,
198,
220,
220,
220,
262,
3232,
10442,
5693,
26,
2035,
2196,
362,
286,
262,
13789,
11,
393,
198,
220,
220,
220,
357,
265,
534,
3038,
8,
597,
1568,
2196,
13,
20,
628,
220,
220,
220,
770,
1430,
318,
9387,
287,
262,
2911,
326,
340,
481,
307,
4465,
11,
198,
220,
220,
220,
475,
42881,
15529,
34764,
56,
26,
1231,
772,
262,
17142,
18215,
286,
198,
220,
220,
220,
34482,
3398,
1565,
5603,
25382,
393,
376,
46144,
7473,
317,
16652,
2149,
37232,
33079,
48933,
13,
220,
4091,
262,
198,
220,
220,
220,
22961,
3611,
5094,
13789,
329,
517,
3307,
379,
25,
628,
220,
220,
220,
2638,
1378,
2503,
13,
41791,
13,
2398,
14,
677,
4541,
14,
70,
489,
13,
6494,
198,
37811,
198,
198,
11748,
686,
2777,
88,
198,
11748,
25064,
198,
11748,
1445,
270,
62,
9503,
4066,
198,
6738,
1630,
62,
907,
14542,
13,
19662,
1330,
20914,
2848,
21575,
198,
198,
46846,
62,
20608,
62,
33456,
796,
705,
75,
62,
1670,
6,
198,
46846,
62,
20608,
62,
10761,
4061,
18973,
796,
705,
75,
62,
70,
380,
2848,
6,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1949,
25,
198,
220,
220,
220,
220,
220,
220,
220,
10028,
1026,
26236,
11522,
78,
3419,
198,
220,
220,
220,
2845,
686,
2777,
88,
13,
49,
2640,
9492,
3622,
16922,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1208,
198
] | 2.939153 | 378 |
from flask import render_template
from app import app, cache
import app.views as v
@app.route('/')
@app.route('/index')
| [
6738,
42903,
1330,
8543,
62,
28243,
198,
6738,
598,
1330,
598,
11,
12940,
198,
11748,
598,
13,
33571,
355,
410,
628,
628,
198,
31,
1324,
13,
38629,
10786,
14,
11537,
198,
31,
1324,
13,
38629,
10786,
14,
9630,
11537,
198
] | 3.1 | 40 |
from .model_selection import time_series_splitter, cv_forecaster, backtesting_forecaster, grid_search_forecaster, random_search_forecaster, bayesian_search_forecaster | [
6738,
764,
19849,
62,
49283,
1330,
640,
62,
25076,
62,
22018,
1967,
11,
269,
85,
62,
754,
17970,
11,
736,
33407,
62,
754,
17970,
11,
10706,
62,
12947,
62,
754,
17970,
11,
4738,
62,
12947,
62,
754,
17970,
11,
15489,
35610,
62,
12947,
62,
754,
17970
] | 3.608696 | 46 |
import os
from utils.config import opt_train,opt_test
from data.datasets import load_dataset
from noise2noise import Noise2Noise
if __name__ == '__main__':
os.environ['CUDA_VISIBLE_DEVICES'] = '1' # 选择哪块GPU运行 '0' or '1' or '0,1'
#训练
# train()
# 测试单张图片，将结果保存到文件夹下
test()
| [
11748,
28686,
198,
6738,
3384,
4487,
13,
11250,
1330,
2172,
62,
27432,
11,
8738,
62,
9288,
198,
6738,
1366,
13,
19608,
292,
1039,
1330,
3440,
62,
19608,
292,
316,
198,
6738,
7838,
17,
3919,
786,
1330,
30964,
17,
2949,
786,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220,
28686,
13,
268,
2268,
17816,
43633,
5631,
62,
29817,
34563,
62,
39345,
34444,
20520,
796,
705,
16,
6,
220,
1303,
16268,
222,
231,
162,
233,
102,
161,
241,
103,
161,
251,
245,
33346,
32573,
238,
26193,
234,
705,
15,
6,
393,
705,
16,
6,
393,
705,
15,
11,
16,
6,
628,
220,
220,
220,
1303,
164,
106,
255,
163,
119,
225,
198,
220,
220,
220,
1303,
4512,
3419,
628,
220,
220,
220,
1303,
10545,
113,
233,
46237,
243,
39355,
243,
28156,
254,
32368,
122,
31965,
229,
171,
120,
234,
49546,
163,
119,
241,
162,
252,
250,
46479,
251,
27764,
246,
26344,
108,
23877,
229,
20015,
114,
13783,
117,
10310,
233,
198,
220,
220,
220,
1332,
3419,
198
] | 1.701149 | 174 |
import requests
url = 'http://localhost:5050/predict'
body = {
"text": "The insurance company is evil!"
}
response = requests.post(url, data=body)
print(response.json()) | [
11748,
7007,
198,
198,
6371,
796,
705,
4023,
1378,
36750,
25,
1120,
1120,
14,
79,
17407,
6,
198,
198,
2618,
796,
1391,
198,
220,
220,
220,
366,
5239,
1298,
366,
464,
5096,
1664,
318,
6181,
2474,
198,
92,
198,
198,
26209,
796,
7007,
13,
7353,
7,
6371,
11,
1366,
28,
2618,
8,
198,
198,
4798,
7,
26209,
13,
17752,
28955
] | 2.95 | 60 |
import random
from typing import Any, Callable, List
class RandomChoiceCompose:
"""
Randomly choose to apply one transform from a collection of transforms.
"""
| [
11748,
4738,
198,
6738,
19720,
1330,
4377,
11,
4889,
540,
11,
7343,
628,
198,
4871,
14534,
46770,
7293,
577,
25,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
14534,
306,
3853,
284,
4174,
530,
6121,
422,
257,
4947,
286,
31408,
13,
198,
220,
220,
220,
37227,
198
] | 3.625 | 48 |
from rfeed import *
| [
6738,
374,
12363,
1330,
1635,
628,
198
] | 3.142857 | 7 |
import os
import numpy as np
import pickle
import lz4.frame
import cv2
import pandas as pd
pd.set_option('display.max_rows', 50)
pd.set_option('display.max_columns', 100)
pd.set_option('display.width', 1000)
# Custom import
from werdich_cfr.tfutils.TFRprovider import Dset
from werdich_cfr.utils.processing import Videoconverter
from werdich_cfr.tfutils.tfutils import use_gpu_devices
#%% Select GPUs
physical_devices, device_list = use_gpu_devices(gpu_device_string='0,1')
#%% files and directories and parameters for all data sets
cfr_data_root = os.path.normpath('/mnt/obi0/andreas/data/cfr')
meta_date = '200617'
# Additional information for filename
meta_dir = os.path.join(cfr_data_root, 'metadata_'+meta_date)
# This should give us ~70% useful files
max_frame_time_ms = 33.34 # Maximum frame_time acceptable in ms
min_rate = 1/max_frame_time_ms*1e3
min_frames = 40 # Minimum number of frames at min_rate (2 s)
min_length = max_frame_time_ms*min_frames*1e-3
n_tfr_files = 8 # We should have at least one TFR file per GPU
#%% Support functions
def chunks(l, n):
"""Yield successive n-sized chunks from l."""
for i in range(0, len(l), n):
yield l[i:i + n]
#%% Data set files
dset_list = ['cfr', 'mbf_ammonia', 'mbf_rubidium']
tracer_list = ['ammonia', 'rubidium']
# THIS COULD BE A LOOP
for dset in dset_list:
#dset = dset_list[1]
cfr_meta_file = 'global_pet_echo_dataset_'+meta_date+'.parquet'
tfr_dir = os.path.join(cfr_data_root, 'tfr_'+meta_date, dset)
float_label_list = ['rest_global_mbf', 'stress_global_mbf', 'global_cfr_calc']
meta_df = pd.read_parquet(os.path.join(meta_dir, cfr_meta_file))
# Filter the data set for mbf models
tracer=dset.split('_')[-1]
if tracer in tracer_list:
meta_df = meta_df[meta_df.tracer_obi==tracer]
#%% Select one view and process files
# We cannot insert NAs into the label lists.
# Drop rows with NAs in the label columns
meda_df = meta_df.dropna(subset=float_label_list, how='any', axis=0)
print(f'Copying meta data {cfr_meta_file} into TFR format.')
print(f'Processing data set {dset} with tracer filter {list(meta_df.tracer_obi.unique())}')
print(f'Saving data to {tfr_dir}.')
view = 'a4c'
tfr_info = dset
for mode in meta_df.dset_mode.unique():
# Filter view, mode and rates. Shuffle.
df = meta_df[(meta_df.max_view == view) & (meta_df.dset_mode == mode)].sample(frac=1)
print('View:{}, mode:{}, min_rate:{}, min_length: {}, n_videos:{}'.format(view,
mode,
min_rate,
min_length,
len(df.filename.unique())))
file_list_complete = list(df.filename.unique())
# Split filename_list into multiple parts
# n_samples_per_file = max_samples_per_file
n_samples_per_file = int(np.ceil(len(file_list_complete)/n_tfr_files))
file_list_parts = list(chunks(file_list_complete, n_samples_per_file))
mag = int(np.floor(np.log10(len(file_list_parts)))) + 1
vc = Videoconverter(max_frame_time_ms=max_frame_time_ms, min_frames=min_frames, meta_df=meta_df)
# Each part will have its own TFR filename
for part, file_list in enumerate(file_list_parts):
# TFR filename
tfr_basename = tfr_info+'_'+view+'_'+mode+'_'+meta_date+'_'+str(part).zfill(mag)
tfr_filename = tfr_basename+'.tfrecords'
parquet_filename = tfr_basename+'.parquet'
failed_filename = tfr_basename+'.failed'
print()
print('Processing {} part {} of {}'.format(tfr_filename, part + 1, len(file_list_parts)))
# Data dictionaries
array_data_dict = {'image': []}
float_data_dict = {name: [] for name in float_label_list}
int_data_dict = {'record': []}
im_array_ser_list = [] # list of pd.Series object for the files in im_array_list
im_failed_ser_list = [] # list of pd.Series objects for failed videos
for f, filename in enumerate(file_list):
if (f+1) % 200 == 0:
print('Loaded video {} of {} into memory.'.format(f+1, len(file_list)))
ser_df = df.loc[df.filename == filename, :]
# Exclude post-2018 data if there is more than one row for this file
if ser_df.shape[0] > 1:
ser_df = ser_df[ser_df['post-2018'] == 0]
ser = ser_df.iloc[0]
error, im_array = vc.process_video(filename)
if np.any(im_array):
# Data dictionaries
array_data_dict['image'].append(im_array)
for label in float_label_list:
float_data_dict[label].append(ser[label])
int_data_dict['record'].append(ser.name)
ser_df2 = ser_df.assign(im_array_shape=[list(im_array.shape)])
im_array_ser_list.append(ser_df2)
else:
ser_df2 = ser_df.assign(err=[error])
im_failed_ser_list.append(ser_df2)
# Write TFR file
if len(array_data_dict['image']) > 0:
TFR_saver = Dset(data_root=tfr_dir)
TFR_saver.create_tfr(filename=tfr_filename,
array_data_dict=array_data_dict,
float_data_dict=float_data_dict,
int_data_dict=int_data_dict)
# Save feature names (needed for parsing the tfr files)
array_list = list(array_data_dict.keys())
array_list.append('shape')
feature_dict = {'array': array_list,
'float': list(float_data_dict.keys()),
'int': list(int_data_dict.keys()),
'features': list(TFR_saver.feature_dict.keys())}
feature_dict_file_name = os.path.splitext(cfr_meta_file)[0]+'.pkl'
feature_dict_file = os.path.join(tfr_dir, feature_dict_file_name)
# Save the feature. We need them to decode the data.
if not os.path.exists(feature_dict_file):
with open(feature_dict_file, 'wb') as fs:
pickle.dump(feature_dict, fs)
# When this is done, save the parquet file
im_array_df = pd.concat(im_array_ser_list)
im_array_df.to_parquet(os.path.join(tfr_dir, parquet_filename))
# Save the failed rows with the error messages
im_failed_df = pd.concat(im_failed_ser_list)
im_failed_df.to_parquet(os.path.join(tfr_dir, failed_filename))
| [
11748,
28686,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2298,
293,
198,
11748,
300,
89,
19,
13,
14535,
198,
11748,
269,
85,
17,
198,
11748,
19798,
292,
355,
279,
67,
198,
198,
30094,
13,
2617,
62,
18076,
10786,
13812,
13,
9806,
62,
8516,
3256,
2026,
8,
198,
30094,
13,
2617,
62,
18076,
10786,
13812,
13,
9806,
62,
28665,
82,
3256,
1802,
8,
198,
30094,
13,
2617,
62,
18076,
10786,
13812,
13,
10394,
3256,
8576,
8,
198,
198,
2,
8562,
1330,
198,
6738,
266,
45744,
488,
62,
66,
8310,
13,
27110,
26791,
13,
10234,
49,
15234,
1304,
1330,
360,
2617,
198,
6738,
266,
45744,
488,
62,
66,
8310,
13,
26791,
13,
36948,
1330,
42551,
36221,
332,
353,
198,
6738,
266,
45744,
488,
62,
66,
8310,
13,
27110,
26791,
13,
27110,
26791,
1330,
779,
62,
46999,
62,
42034,
198,
198,
2,
16626,
9683,
32516,
198,
198,
42854,
62,
42034,
11,
3335,
62,
4868,
796,
779,
62,
46999,
62,
42034,
7,
46999,
62,
25202,
62,
8841,
11639,
15,
11,
16,
11537,
198,
198,
2,
16626,
3696,
290,
29196,
290,
10007,
329,
477,
1366,
5621,
198,
66,
8310,
62,
7890,
62,
15763,
796,
28686,
13,
6978,
13,
27237,
6978,
10786,
14,
76,
429,
14,
13411,
15,
14,
49078,
292,
14,
7890,
14,
66,
8310,
11537,
198,
28961,
62,
4475,
796,
705,
13330,
1558,
6,
198,
198,
2,
15891,
1321,
329,
29472,
198,
28961,
62,
15908,
796,
28686,
13,
6978,
13,
22179,
7,
66,
8310,
62,
7890,
62,
15763,
11,
705,
38993,
62,
6,
10,
28961,
62,
4475,
8,
198,
198,
2,
770,
815,
1577,
514,
5299,
2154,
4,
4465,
3696,
198,
9806,
62,
14535,
62,
2435,
62,
907,
796,
4747,
13,
2682,
1303,
22246,
5739,
62,
2435,
10909,
287,
13845,
198,
1084,
62,
4873,
796,
352,
14,
9806,
62,
14535,
62,
2435,
62,
907,
9,
16,
68,
18,
198,
1084,
62,
37805,
796,
2319,
1303,
26265,
1271,
286,
13431,
379,
949,
62,
4873,
357,
17,
264,
8,
198,
1084,
62,
13664,
796,
3509,
62,
14535,
62,
2435,
62,
907,
9,
1084,
62,
37805,
9,
16,
68,
12,
18,
198,
198,
77,
62,
83,
8310,
62,
16624,
796,
807,
1303,
775,
815,
423,
379,
1551,
530,
309,
10913,
2393,
583,
11362,
198,
198,
2,
16626,
7929,
5499,
198,
198,
4299,
22716,
7,
75,
11,
299,
2599,
198,
220,
220,
220,
37227,
56,
1164,
25175,
299,
12,
13982,
22716,
422,
300,
526,
15931,
198,
220,
220,
220,
329,
1312,
287,
2837,
7,
15,
11,
18896,
7,
75,
828,
299,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
7800,
300,
58,
72,
25,
72,
1343,
299,
60,
198,
198,
2,
16626,
6060,
900,
3696,
198,
198,
67,
2617,
62,
4868,
796,
37250,
66,
8310,
3256,
705,
2022,
69,
62,
321,
2144,
544,
3256,
705,
2022,
69,
62,
25089,
43523,
20520,
198,
2213,
11736,
62,
4868,
796,
37250,
321,
2144,
544,
3256,
705,
25089,
43523,
20520,
198,
198,
2,
12680,
327,
24010,
9348,
317,
17579,
3185,
198,
1640,
288,
2617,
287,
288,
2617,
62,
4868,
25,
198,
2,
67,
2617,
796,
288,
2617,
62,
4868,
58,
16,
60,
628,
220,
220,
220,
269,
8310,
62,
28961,
62,
7753,
796,
705,
20541,
62,
6449,
62,
30328,
62,
19608,
292,
316,
62,
6,
10,
28961,
62,
4475,
10,
4458,
1845,
21108,
6,
198,
220,
220,
220,
256,
8310,
62,
15908,
796,
28686,
13,
6978,
13,
22179,
7,
66,
8310,
62,
7890,
62,
15763,
11,
705,
83,
8310,
62,
6,
10,
28961,
62,
4475,
11,
288,
2617,
8,
198,
220,
220,
220,
12178,
62,
18242,
62,
4868,
796,
37250,
2118,
62,
20541,
62,
2022,
69,
3256,
705,
41494,
62,
20541,
62,
2022,
69,
3256,
705,
20541,
62,
66,
8310,
62,
9948,
66,
20520,
198,
220,
220,
220,
13634,
62,
7568,
796,
279,
67,
13,
961,
62,
1845,
21108,
7,
418,
13,
6978,
13,
22179,
7,
28961,
62,
15908,
11,
269,
8310,
62,
28961,
62,
7753,
4008,
628,
220,
220,
220,
1303,
25853,
262,
1366,
900,
329,
285,
19881,
4981,
198,
220,
220,
220,
491,
11736,
28,
67,
2617,
13,
35312,
10786,
62,
11537,
58,
12,
16,
60,
198,
220,
220,
220,
611,
491,
11736,
287,
491,
11736,
62,
4868,
25,
198,
220,
220,
220,
220,
220,
220,
220,
13634,
62,
7568,
796,
13634,
62,
7568,
58,
28961,
62,
7568,
13,
2213,
11736,
62,
13411,
855,
2213,
11736,
60,
628,
220,
220,
220,
1303,
16626,
9683,
530,
1570,
290,
1429,
3696,
198,
220,
220,
220,
1303,
775,
2314,
7550,
399,
1722,
656,
262,
6167,
8341,
13,
198,
220,
220,
220,
1303,
14258,
15274,
351,
399,
1722,
287,
262,
6167,
15180,
198,
220,
220,
220,
1117,
64,
62,
7568,
796,
13634,
62,
7568,
13,
14781,
2616,
7,
7266,
2617,
28,
22468,
62,
18242,
62,
4868,
11,
703,
11639,
1092,
3256,
16488,
28,
15,
8,
198,
220,
220,
220,
3601,
7,
69,
6,
13379,
1112,
13634,
1366,
1391,
66,
8310,
62,
28961,
62,
7753,
92,
656,
309,
10913,
5794,
2637,
8,
198,
220,
220,
220,
3601,
7,
69,
6,
18709,
278,
1366,
900,
1391,
67,
2617,
92,
351,
491,
11736,
8106,
1391,
4868,
7,
28961,
62,
7568,
13,
2213,
11736,
62,
13411,
13,
34642,
28955,
92,
11537,
198,
220,
220,
220,
3601,
7,
69,
6,
50,
2703,
1366,
284,
1391,
83,
8310,
62,
15908,
92,
2637,
8,
628,
220,
220,
220,
1570,
796,
705,
64,
19,
66,
6,
198,
220,
220,
220,
256,
8310,
62,
10951,
796,
288,
2617,
628,
220,
220,
220,
329,
4235,
287,
13634,
62,
7568,
13,
67,
2617,
62,
14171,
13,
34642,
33529,
628,
220,
220,
220,
220,
220,
220,
220,
1303,
25853,
1570,
11,
4235,
290,
3965,
13,
911,
18137,
13,
198,
220,
220,
220,
220,
220,
220,
220,
47764,
796,
13634,
62,
7568,
58,
7,
28961,
62,
7568,
13,
9806,
62,
1177,
6624,
1570,
8,
1222,
357,
28961,
62,
7568,
13,
67,
2617,
62,
14171,
6624,
4235,
25295,
39873,
7,
31944,
28,
16,
8,
628,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
7680,
29164,
5512,
4235,
29164,
5512,
949,
62,
4873,
29164,
5512,
949,
62,
13664,
25,
1391,
5512,
299,
62,
32861,
29164,
92,
4458,
18982,
7,
1177,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4235,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
949,
62,
4873,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
949,
62,
13664,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
18896,
7,
7568,
13,
34345,
13,
34642,
3419,
22305,
628,
220,
220,
220,
220,
220,
220,
220,
2393,
62,
4868,
62,
20751,
796,
1351,
7,
7568,
13,
34345,
13,
34642,
28955,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
27758,
29472,
62,
4868,
656,
3294,
3354,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
299,
62,
82,
12629,
62,
525,
62,
7753,
796,
3509,
62,
82,
12629,
62,
525,
62,
7753,
198,
220,
220,
220,
220,
220,
220,
220,
299,
62,
82,
12629,
62,
525,
62,
7753,
796,
493,
7,
37659,
13,
344,
346,
7,
11925,
7,
7753,
62,
4868,
62,
20751,
20679,
77,
62,
83,
8310,
62,
16624,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
2393,
62,
4868,
62,
42632,
796,
1351,
7,
354,
14125,
7,
7753,
62,
4868,
62,
20751,
11,
299,
62,
82,
12629,
62,
525,
62,
7753,
4008,
198,
220,
220,
220,
220,
220,
220,
220,
2153,
796,
493,
7,
37659,
13,
28300,
7,
37659,
13,
6404,
940,
7,
11925,
7,
7753,
62,
4868,
62,
42632,
35514,
1343,
352,
628,
220,
220,
220,
220,
220,
220,
220,
410,
66,
796,
42551,
36221,
332,
353,
7,
9806,
62,
14535,
62,
2435,
62,
907,
28,
9806,
62,
14535,
62,
2435,
62,
907,
11,
949,
62,
37805,
28,
1084,
62,
37805,
11,
13634,
62,
7568,
28,
28961,
62,
7568,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1303,
5501,
636,
481,
423,
663,
898,
309,
10913,
29472,
198,
220,
220,
220,
220,
220,
220,
220,
329,
636,
11,
2393,
62,
4868,
287,
27056,
378,
7,
7753,
62,
4868,
62,
42632,
2599,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
309,
10913,
29472,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
256,
8310,
62,
12093,
12453,
796,
256,
8310,
62,
10951,
10,
6,
62,
6,
10,
1177,
10,
6,
62,
6,
10,
14171,
10,
6,
62,
6,
10,
28961,
62,
4475,
10,
6,
62,
6,
10,
2536,
7,
3911,
737,
89,
20797,
7,
19726,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
256,
8310,
62,
34345,
796,
256,
8310,
62,
12093,
12453,
10,
4458,
27110,
8344,
3669,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1582,
21108,
62,
34345,
796,
256,
8310,
62,
12093,
12453,
10,
4458,
1845,
21108,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4054,
62,
34345,
796,
256,
8310,
62,
12093,
12453,
10,
4458,
47904,
6,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
18709,
278,
23884,
636,
23884,
286,
23884,
4458,
18982,
7,
83,
8310,
62,
34345,
11,
636,
1343,
352,
11,
18896,
7,
7753,
62,
4868,
62,
42632,
22305,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
6060,
48589,
3166,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7177,
62,
7890,
62,
11600,
796,
1391,
6,
9060,
10354,
17635,
92,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12178,
62,
7890,
62,
11600,
796,
1391,
3672,
25,
17635,
329,
1438,
287,
12178,
62,
18242,
62,
4868,
92,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
493,
62,
7890,
62,
11600,
796,
1391,
6,
22105,
10354,
17635,
92,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
18747,
62,
2655,
62,
4868,
796,
17635,
1303,
1351,
286,
279,
67,
13,
27996,
2134,
329,
262,
3696,
287,
545,
62,
18747,
62,
4868,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
47904,
62,
2655,
62,
4868,
796,
17635,
1303,
1351,
286,
279,
67,
13,
27996,
5563,
329,
4054,
5861,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
277,
11,
29472,
287,
27056,
378,
7,
7753,
62,
4868,
2599,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
357,
69,
10,
16,
8,
4064,
939,
6624,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3601,
10786,
8912,
276,
2008,
23884,
286,
23884,
656,
4088,
2637,
13,
18982,
7,
69,
10,
16,
11,
18896,
7,
7753,
62,
4868,
22305,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1055,
62,
7568,
796,
47764,
13,
17946,
58,
7568,
13,
34345,
6624,
29472,
11,
1058,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1475,
9152,
1281,
12,
7908,
1366,
611,
612,
318,
517,
621,
530,
5752,
329,
428,
2393,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1055,
62,
7568,
13,
43358,
58,
15,
60,
1875,
352,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1055,
62,
7568,
796,
1055,
62,
7568,
58,
2655,
62,
7568,
17816,
7353,
12,
7908,
20520,
6624,
657,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1055,
796,
1055,
62,
7568,
13,
346,
420,
58,
15,
60,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4049,
11,
545,
62,
18747,
796,
410,
66,
13,
14681,
62,
15588,
7,
34345,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
45941,
13,
1092,
7,
320,
62,
18747,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
6060,
48589,
3166,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7177,
62,
7890,
62,
11600,
17816,
9060,
6,
4083,
33295,
7,
320,
62,
18747,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
329,
6167,
287,
12178,
62,
18242,
62,
4868,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12178,
62,
7890,
62,
11600,
58,
18242,
4083,
33295,
7,
2655,
58,
18242,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
493,
62,
7890,
62,
11600,
17816,
22105,
6,
4083,
33295,
7,
2655,
13,
3672,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1055,
62,
7568,
17,
796,
1055,
62,
7568,
13,
562,
570,
7,
320,
62,
18747,
62,
43358,
41888,
4868,
7,
320,
62,
18747,
13,
43358,
8,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
18747,
62,
2655,
62,
4868,
13,
33295,
7,
2655,
62,
7568,
17,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1055,
62,
7568,
17,
796,
1055,
62,
7568,
13,
562,
570,
7,
8056,
41888,
18224,
12962,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
47904,
62,
2655,
62,
4868,
13,
33295,
7,
2655,
62,
7568,
17,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
19430,
309,
10913,
2393,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
18896,
7,
18747,
62,
7890,
62,
11600,
17816,
9060,
6,
12962,
1875,
657,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
309,
10913,
62,
82,
8770,
796,
360,
2617,
7,
7890,
62,
15763,
28,
83,
8310,
62,
15908,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
309,
10913,
62,
82,
8770,
13,
17953,
62,
83,
8310,
7,
34345,
28,
83,
8310,
62,
34345,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7177,
62,
7890,
62,
11600,
28,
18747,
62,
7890,
62,
11600,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
12178,
62,
7890,
62,
11600,
28,
22468,
62,
7890,
62,
11600,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
493,
62,
7890,
62,
11600,
28,
600,
62,
7890,
62,
11600,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
12793,
3895,
3891,
357,
27938,
329,
32096,
262,
256,
8310,
3696,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7177,
62,
4868,
796,
1351,
7,
18747,
62,
7890,
62,
11600,
13,
13083,
28955,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
7177,
62,
4868,
13,
33295,
10786,
43358,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3895,
62,
11600,
796,
1391,
6,
18747,
10354,
7177,
62,
4868,
11,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
22468,
10354,
1351,
7,
22468,
62,
7890,
62,
11600,
13,
13083,
3419,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
600,
10354,
1351,
7,
600,
62,
7890,
62,
11600,
13,
13083,
3419,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
40890,
10354,
1351,
7,
10234,
49,
62,
82,
8770,
13,
30053,
62,
11600,
13,
13083,
28955,
92,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3895,
62,
11600,
62,
7753,
62,
3672,
796,
28686,
13,
6978,
13,
22018,
578,
742,
7,
66,
8310,
62,
28961,
62,
7753,
38381,
15,
48688,
4458,
79,
41582,
6,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3895,
62,
11600,
62,
7753,
796,
28686,
13,
6978,
13,
22179,
7,
83,
8310,
62,
15908,
11,
3895,
62,
11600,
62,
7753,
62,
3672,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
12793,
262,
3895,
13,
775,
761,
606,
284,
36899,
262,
1366,
13,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
407,
28686,
13,
6978,
13,
1069,
1023,
7,
30053,
62,
11600,
62,
7753,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
351,
1280,
7,
30053,
62,
11600,
62,
7753,
11,
705,
39346,
11537,
355,
43458,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2298,
293,
13,
39455,
7,
30053,
62,
11600,
11,
43458,
8,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
1649,
428,
318,
1760,
11,
3613,
262,
1582,
21108,
2393,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
18747,
62,
7568,
796,
279,
67,
13,
1102,
9246,
7,
320,
62,
18747,
62,
2655,
62,
4868,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
18747,
62,
7568,
13,
1462,
62,
1845,
21108,
7,
418,
13,
6978,
13,
22179,
7,
83,
8310,
62,
15908,
11,
1582,
21108,
62,
34345,
4008,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
1303,
12793,
262,
4054,
15274,
351,
262,
4049,
6218,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
47904,
62,
7568,
796,
279,
67,
13,
1102,
9246,
7,
320,
62,
47904,
62,
2655,
62,
4868,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
545,
62,
47904,
62,
7568,
13,
1462,
62,
1845,
21108,
7,
418,
13,
6978,
13,
22179,
7,
83,
8310,
62,
15908,
11,
4054,
62,
34345,
4008,
198
] | 1.981461 | 3,560 |
import numpy as np
inp1 = """<x=-1, y=0, z=2>
<x=2, y=-10, z=-7>
<x=4, y=-8, z=8>
<x=3, y=5, z=-1>"""
# moons 'Io', 'Europa', 'Ganymede', 'Callisto'
# unit test part1
moons = parse_input(inp1)
assert np.allclose(moons['Io'], np.array([-1, 0, 2]))
velocities = {key: np.array([0, 0, 0]) for key in moons}
if False:
printout(0, moons, velocities)
moons, velocities = step(moons, velocities)
printout(1, moons, velocities)
for _ in range(9):
moons, velocities = step(moons, velocities)
printout(10, moons, velocities)
assert total_energy(moons, velocities) == 179
# part1
moons = parse_input(open('data/input12').read().strip())
velocities = {key: np.array([0, 0, 0]) for key in moons}
for _ in range(1000):
moons, velocities = step(moons, velocities)
print(f'solution for part1: {total_energy(moons, velocities)}')
def get_cycle(moons, coordinate_index):
"""Finds a cycle in coordinate x1 only by simulating x1 = f(x1, vx1)."""
moons = {key: moons[key][coordinate_index + 0:coordinate_index + 1] for key in moons}
velocities = {key: np.array([0]) for key in moons}
initial_hash = hash(moons, velocities)
nsteps = 0
while True:
moons, velocities = step(moons, velocities)
nsteps += 1
curr_hash = hash(moons, velocities)
if curr_hash == initial_hash:
break
return nsteps
# part2 unit test
moons = parse_input(inp1)
period0 = get_cycle(moons, coordinate_index=0)
period1 = get_cycle(moons, coordinate_index=1)
period2 = get_cycle(moons, coordinate_index=2)
min_cycle = min(np.lcm(np.lcm(period0, period1), period2), np.lcm(np.lcm(period0, period2), period1),
np.lcm(np.lcm(period1, period2), period0))
assert min_cycle == 2772
# part2
moons = parse_input(open('data/input12').read().strip())
period0 = get_cycle(moons, coordinate_index=0)
period1 = get_cycle(moons, coordinate_index=1)
period2 = get_cycle(moons, coordinate_index=2)
min_cycle = min(np.lcm(np.lcm(period0, period1), period2), np.lcm(np.lcm(period0, period2), period1),
np.lcm(np.lcm(period1, period2), period0))
print(f"solution for part2: {min_cycle}")
| [
11748,
299,
32152,
355,
45941,
198,
198,
259,
79,
16,
796,
37227,
27,
87,
10779,
16,
11,
331,
28,
15,
11,
1976,
28,
17,
29,
198,
27,
87,
28,
17,
11,
331,
10779,
940,
11,
1976,
10779,
22,
29,
198,
27,
87,
28,
19,
11,
331,
10779,
23,
11,
1976,
28,
23,
29,
198,
27,
87,
28,
18,
11,
331,
28,
20,
11,
1976,
10779,
16,
29,
37811,
628,
198,
198,
2,
31093,
705,
40,
78,
3256,
705,
14398,
8957,
3256,
705,
38,
1092,
1150,
68,
3256,
705,
14134,
396,
78,
6,
628,
628,
198,
2,
4326,
1332,
636,
16,
198,
5908,
684,
796,
21136,
62,
15414,
7,
259,
79,
16,
8,
198,
30493,
45941,
13,
439,
19836,
7,
5908,
684,
17816,
40,
78,
6,
4357,
45941,
13,
18747,
26933,
12,
16,
11,
657,
11,
362,
60,
4008,
198,
626,
420,
871,
796,
1391,
2539,
25,
45941,
13,
18747,
26933,
15,
11,
657,
11,
657,
12962,
329,
1994,
287,
31093,
92,
198,
361,
10352,
25,
198,
220,
220,
220,
3601,
448,
7,
15,
11,
31093,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
31093,
11,
11555,
420,
871,
796,
2239,
7,
5908,
684,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
3601,
448,
7,
16,
11,
31093,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
329,
4808,
287,
2837,
7,
24,
2599,
198,
220,
220,
220,
220,
220,
220,
220,
31093,
11,
11555,
420,
871,
796,
2239,
7,
5908,
684,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
3601,
448,
7,
940,
11,
31093,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
6818,
2472,
62,
22554,
7,
5908,
684,
11,
11555,
420,
871,
8,
6624,
27228,
198,
198,
2,
636,
16,
198,
5908,
684,
796,
21136,
62,
15414,
7,
9654,
10786,
7890,
14,
15414,
1065,
27691,
961,
22446,
36311,
28955,
198,
626,
420,
871,
796,
1391,
2539,
25,
45941,
13,
18747,
26933,
15,
11,
657,
11,
657,
12962,
329,
1994,
287,
31093,
92,
198,
1640,
4808,
287,
2837,
7,
12825,
2599,
198,
220,
220,
220,
31093,
11,
11555,
420,
871,
796,
2239,
7,
5908,
684,
11,
11555,
420,
871,
8,
198,
4798,
7,
69,
338,
2122,
329,
636,
16,
25,
1391,
23350,
62,
22554,
7,
5908,
684,
11,
11555,
420,
871,
38165,
11537,
628,
198,
198,
4299,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
2599,
198,
220,
220,
220,
37227,
16742,
82,
257,
6772,
287,
20435,
2124,
16,
691,
416,
985,
8306,
2124,
16,
796,
277,
7,
87,
16,
11,
410,
87,
16,
21387,
15931,
198,
220,
220,
220,
31093,
796,
1391,
2539,
25,
31093,
58,
2539,
7131,
37652,
4559,
62,
9630,
1343,
657,
25,
37652,
4559,
62,
9630,
1343,
352,
60,
329,
1994,
287,
31093,
92,
198,
220,
220,
220,
11555,
420,
871,
796,
1391,
2539,
25,
45941,
13,
18747,
26933,
15,
12962,
329,
1994,
287,
31093,
92,
198,
220,
220,
220,
4238,
62,
17831,
796,
12234,
7,
5908,
684,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
299,
20214,
796,
657,
198,
220,
220,
220,
981,
6407,
25,
198,
220,
220,
220,
220,
220,
220,
220,
31093,
11,
11555,
420,
871,
796,
2239,
7,
5908,
684,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
220,
220,
220,
220,
299,
20214,
15853,
352,
198,
220,
220,
220,
220,
220,
220,
220,
1090,
81,
62,
17831,
796,
12234,
7,
5908,
684,
11,
11555,
420,
871,
8,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1090,
81,
62,
17831,
6624,
4238,
62,
17831,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2270,
198,
220,
220,
220,
1441,
299,
20214,
628,
198,
2,
636,
17,
4326,
1332,
198,
5908,
684,
796,
21136,
62,
15414,
7,
259,
79,
16,
8,
198,
41007,
15,
796,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
28,
15,
8,
198,
41007,
16,
796,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
28,
16,
8,
198,
41007,
17,
796,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
28,
17,
8,
198,
1084,
62,
13696,
796,
949,
7,
37659,
13,
75,
11215,
7,
37659,
13,
75,
11215,
7,
41007,
15,
11,
2278,
16,
828,
2278,
17,
828,
45941,
13,
75,
11215,
7,
37659,
13,
75,
11215,
7,
41007,
15,
11,
2278,
17,
828,
2278,
16,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
45941,
13,
75,
11215,
7,
37659,
13,
75,
11215,
7,
41007,
16,
11,
2278,
17,
828,
2278,
15,
4008,
198,
30493,
949,
62,
13696,
6624,
2681,
4761,
198,
198,
2,
636,
17,
198,
5908,
684,
796,
21136,
62,
15414,
7,
9654,
10786,
7890,
14,
15414,
1065,
27691,
961,
22446,
36311,
28955,
198,
41007,
15,
796,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
28,
15,
8,
198,
41007,
16,
796,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
28,
16,
8,
198,
41007,
17,
796,
651,
62,
13696,
7,
5908,
684,
11,
20435,
62,
9630,
28,
17,
8,
198,
1084,
62,
13696,
796,
949,
7,
37659,
13,
75,
11215,
7,
37659,
13,
75,
11215,
7,
41007,
15,
11,
2278,
16,
828,
2278,
17,
828,
45941,
13,
75,
11215,
7,
37659,
13,
75,
11215,
7,
41007,
15,
11,
2278,
17,
828,
2278,
16,
828,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
45941,
13,
75,
11215,
7,
37659,
13,
75,
11215,
7,
41007,
16,
11,
2278,
17,
828,
2278,
15,
4008,
198,
4798,
7,
69,
1,
82,
2122,
329,
636,
17,
25,
1391,
1084,
62,
13696,
92,
4943,
198
] | 2.320856 | 935 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 21 12:56:48 2019
@author: salim
"""
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
os.chdir('/Users/salim/Desktop/EDEM/Python/Code')
a11 = pd.read_csv ('rentals_weather_2011.csv', sep=',', decimal='.')
a12 = pd.read_csv ('rentals_weather_2012.csv', sep=';', decimal=',')
a11 = a11.drop(columns=['Unnamed: 0'])
a11 = a11.rename(columns={'dteday_x':'dteday'})
a12.day = a12.day - 365
a12.drop(a12.tail(1).index,inplace=True) # drop last n rows (borrar ultima linea)
y12 = a12[['day', 'cnt']]
y11 = a11[['day', 'cnt']]
y12 = y12.rename(columns={'cnt':'cnt_12'})
y11 = y11.rename(columns={'cnt':'cnt_11'})
y112 = pd.merge(y11, y12, on='day')
#Representar dos años en una gráfica
plt.scatter(y112.day,y112.cnt_11)
plt.scatter(y112.day,y112.cnt_12)
plt.title("Figura . Rented Bicycles Comparation 11-12") #Titulo
plt.xlabel("Nr. of Day") # Establece el título del eje x
plt.ylabel("Nr. of Rented Bicycles") # Establece el título del eje y
plt.scatter(y112.day,y112.cnt_11,linewidths=1,label = 'Sales 2011',color ="Green")
plt.scatter(y112.day,y112.cnt_12,linewidths=1,label = 'Sales 2012', Color ="Blue")
plt.legend()
plt.savefig('Sales_11_12.jpg')
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
7031,
8621,
2310,
1105,
25,
3980,
25,
2780,
13130,
198,
198,
31,
9800,
25,
3664,
320,
198,
37811,
198,
198,
11748,
28686,
198,
11748,
19798,
292,
355,
279,
67,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
198,
418,
13,
354,
15908,
10786,
14,
14490,
14,
21680,
320,
14,
36881,
14,
1961,
3620,
14,
37906,
14,
10669,
11537,
198,
198,
64,
1157,
796,
279,
67,
13,
961,
62,
40664,
19203,
1156,
874,
62,
23563,
62,
9804,
13,
40664,
3256,
41767,
28,
3256,
3256,
32465,
11639,
2637,
8,
198,
198,
64,
1065,
796,
279,
67,
13,
961,
62,
40664,
19203,
1156,
874,
62,
23563,
62,
6999,
13,
40664,
3256,
41767,
11639,
26,
3256,
32465,
28,
3256,
11537,
198,
198,
64,
1157,
796,
257,
1157,
13,
14781,
7,
28665,
82,
28,
17816,
3118,
13190,
25,
657,
6,
12962,
198,
198,
64,
1157,
796,
257,
1157,
13,
918,
480,
7,
28665,
82,
34758,
6,
67,
1513,
323,
62,
87,
10354,
6,
67,
1513,
323,
6,
30072,
628,
198,
64,
1065,
13,
820,
796,
257,
1065,
13,
820,
532,
21268,
198,
198,
64,
1065,
13,
14781,
7,
64,
1065,
13,
13199,
7,
16,
737,
9630,
11,
259,
5372,
28,
17821,
8,
1303,
4268,
938,
299,
15274,
357,
2865,
20040,
3789,
8083,
1627,
64,
8,
198,
198,
88,
1065,
796,
257,
1065,
58,
17816,
820,
3256,
705,
66,
429,
6,
11907,
198,
88,
1157,
796,
257,
1157,
58,
17816,
820,
3256,
705,
66,
429,
6,
11907,
198,
198,
88,
1065,
796,
331,
1065,
13,
918,
480,
7,
28665,
82,
34758,
6,
66,
429,
10354,
6,
66,
429,
62,
1065,
6,
30072,
198,
88,
1157,
796,
331,
1157,
13,
918,
480,
7,
28665,
82,
34758,
6,
66,
429,
10354,
6,
66,
429,
62,
1157,
6,
30072,
198,
198,
88,
14686,
796,
279,
67,
13,
647,
469,
7,
88,
1157,
11,
331,
1065,
11,
319,
11639,
820,
11537,
198,
198,
2,
40171,
283,
23430,
257,
12654,
418,
551,
555,
64,
1036,
6557,
69,
3970,
198,
489,
83,
13,
1416,
1436,
7,
88,
14686,
13,
820,
11,
88,
14686,
13,
66,
429,
62,
1157,
8,
198,
489,
83,
13,
1416,
1436,
7,
88,
14686,
13,
820,
11,
88,
14686,
13,
66,
429,
62,
1065,
8,
198,
489,
83,
13,
7839,
7203,
14989,
5330,
764,
371,
4714,
347,
4611,
5427,
22565,
341,
1367,
12,
1065,
4943,
1303,
51,
270,
43348,
198,
489,
83,
13,
87,
18242,
7203,
45,
81,
13,
286,
3596,
4943,
220,
220,
1303,
10062,
540,
344,
1288,
256,
8836,
83,
43348,
1619,
304,
18015,
2124,
198,
489,
83,
13,
2645,
9608,
7203,
45,
81,
13,
286,
371,
4714,
347,
4611,
5427,
4943,
220,
220,
1303,
10062,
540,
344,
1288,
256,
8836,
83,
43348,
1619,
304,
18015,
331,
198,
489,
83,
13,
1416,
1436,
7,
88,
14686,
13,
820,
11,
88,
14686,
13,
66,
429,
62,
1157,
11,
2815,
413,
5649,
82,
28,
16,
11,
18242,
796,
705,
44490,
2813,
3256,
8043,
796,
1,
13719,
4943,
198,
489,
83,
13,
1416,
1436,
7,
88,
14686,
13,
820,
11,
88,
14686,
13,
66,
429,
62,
1065,
11,
2815,
413,
5649,
82,
28,
16,
11,
18242,
796,
705,
44490,
2321,
3256,
5315,
796,
1,
14573,
4943,
198,
489,
83,
13,
1455,
437,
3419,
198,
489,
83,
13,
21928,
5647,
10786,
44490,
62,
1157,
62,
1065,
13,
9479,
11537,
198
] | 2.151361 | 588 |
with open("input.txt") as x:
lines = x.read().splitlines()
pairs = {"(": ")", "{": "}", "<": ">", "[": "]"}
points = {")": 1, "]": 2, "}": 3, ">": 4}
context = []
p_array = []
p = 0
corrupted = False
for l in lines:
context = []
corrupted = False
p = 0
for char in l:
if char in pairs.keys():
context.append(char)
elif char in pairs.values():
if char != pairs[context[-1]]:
corrupted = True
p += points[char]
break
else:
context = context[:-1]
if not corrupted:
context.reverse()
for c in context:
p = p * 5 + points[pairs[c]]
p_array += [p]
print(sorted(p_array)[len(p_array) // 2])
| [
4480,
1280,
7203,
15414,
13,
14116,
4943,
355,
2124,
25,
198,
220,
220,
220,
3951,
796,
2124,
13,
961,
22446,
35312,
6615,
3419,
198,
198,
79,
3468,
796,
1391,
18109,
1298,
366,
42501,
45144,
1298,
366,
92,
1600,
33490,
1298,
366,
29,
1600,
12878,
1298,
366,
60,
20662,
198,
13033,
796,
1391,
4943,
1298,
352,
11,
366,
60,
1298,
362,
11,
366,
92,
1298,
513,
11,
366,
29,
1298,
604,
92,
198,
198,
22866,
796,
17635,
198,
79,
62,
18747,
796,
17635,
198,
79,
796,
657,
198,
10215,
31590,
796,
10352,
198,
198,
1640,
300,
287,
3951,
25,
198,
220,
220,
220,
4732,
796,
17635,
198,
220,
220,
220,
26940,
796,
10352,
198,
220,
220,
220,
279,
796,
657,
198,
220,
220,
220,
329,
1149,
287,
300,
25,
198,
220,
220,
220,
220,
220,
220,
220,
611,
1149,
287,
14729,
13,
13083,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4732,
13,
33295,
7,
10641,
8,
198,
220,
220,
220,
220,
220,
220,
220,
1288,
361,
1149,
287,
14729,
13,
27160,
33529,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
1149,
14512,
14729,
58,
22866,
58,
12,
16,
60,
5974,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
26940,
796,
6407,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
279,
15853,
2173,
58,
10641,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2270,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
4732,
796,
4732,
58,
21912,
16,
60,
198,
220,
220,
220,
611,
407,
26940,
25,
198,
220,
220,
220,
220,
220,
220,
220,
4732,
13,
50188,
3419,
198,
220,
220,
220,
220,
220,
220,
220,
329,
269,
287,
4732,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
279,
796,
279,
1635,
642,
1343,
2173,
58,
79,
3468,
58,
66,
11907,
198,
220,
220,
220,
220,
220,
220,
220,
279,
62,
18747,
15853,
685,
79,
60,
198,
198,
4798,
7,
82,
9741,
7,
79,
62,
18747,
38381,
11925,
7,
79,
62,
18747,
8,
3373,
362,
12962,
198
] | 1.96401 | 389 |
#!/usr/bin/env python3.8
# Copyright 2020 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import sys
if __name__ == '__main__':
print(os.path.isdir(sys.argv[1]))
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
13,
23,
198,
198,
2,
15069,
12131,
383,
376,
37533,
544,
46665,
13,
1439,
2489,
10395,
13,
198,
2,
5765,
286,
428,
2723,
2438,
318,
21825,
416,
257,
347,
10305,
12,
7635,
5964,
326,
460,
307,
198,
2,
1043,
287,
262,
38559,
24290,
2393,
13,
198,
198,
11748,
28686,
198,
11748,
25064,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
3601,
7,
418,
13,
6978,
13,
9409,
343,
7,
17597,
13,
853,
85,
58,
16,
60,
4008,
198
] | 2.935484 | 93 |
# -*- coding:utf-8 -*-
import sys
from github import Github
reload(sys)
sys.setdefaultencoding('utf-8')
# var legendData = ['linary', 'zhangyi', 'javame'];
# var seriesData = [{name: 'linary', value: 2}, {name: 'zhangyi', value: 3},{name: 'javame', value: 4}];
# var selected = {'linary': true, 'zhangyi': true, 'javame': false};
if __name__ == "__main__":
# using token
token = 'xxx...'
g = Github(token)
repo = g.get_repo("hugegraph/hugegraph")
# collect issues
issue_file = open('issues.txt', 'w')
all_issues = repo.get_issues(state="open")
for issue in all_issues:
line = '%s\t%s' % (issue.user.login, issue.title)
issue_file.write(line + '\n')
issue_file.close()
# handle user issues
authors = ['Linary', 'javeme', 'zhoney']
legend_data = []
series_data = {}
selected = {}
with open('issues.txt', "r+") as user_issues_file:
for issue_line in user_issues_file:
parts = issue_line.split('\t')
assert len(parts) == 2
user_name = parts[0]
issue_title = parts[1]
if user_name in series_data:
count = series_data[user_name]
count = count + 1
series_data[user_name] = count
else:
legend_data.append(user_name)
series_data[user_name] = 1
selected[user_name] = True
selected['Linary'] = False
selected['javeme'] = False
selected['zhoney'] = False
# convert to echarts data strcture
echarts = '''var legendData = %s;\nvar seriesData = %s;\nvar selected = %s;\n\nvar data = {legendData: legendData, seriesData: seriesData, selected: selected};
''' % (write_legend_data(legend_data), write_series_data(series_data), write_selected(selected))
print echarts
| [
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
198,
11748,
25064,
198,
198,
6738,
33084,
1330,
38994,
198,
198,
260,
2220,
7,
17597,
8,
198,
17597,
13,
2617,
12286,
12685,
7656,
10786,
40477,
12,
23,
11537,
628,
198,
198,
2,
1401,
8177,
6601,
796,
37250,
2815,
560,
3256,
705,
23548,
648,
48111,
3256,
705,
73,
615,
480,
6,
11208,
628,
198,
2,
1401,
2168,
6601,
796,
685,
90,
3672,
25,
705,
2815,
560,
3256,
1988,
25,
362,
5512,
1391,
3672,
25,
705,
23548,
648,
48111,
3256,
1988,
25,
513,
5512,
90,
3672,
25,
705,
73,
615,
480,
3256,
1988,
25,
604,
92,
11208,
628,
198,
2,
1401,
6163,
796,
1391,
6,
2815,
560,
10354,
2081,
11,
705,
23548,
648,
48111,
10354,
2081,
11,
705,
73,
615,
480,
10354,
3991,
19629,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1303,
1262,
11241,
198,
220,
220,
220,
11241,
796,
705,
31811,
986,
6,
198,
220,
220,
220,
308,
796,
38994,
7,
30001,
8,
628,
220,
220,
220,
29924,
796,
308,
13,
1136,
62,
260,
7501,
7203,
40878,
34960,
14,
40878,
34960,
4943,
628,
220,
220,
220,
1303,
2824,
2428,
198,
220,
220,
220,
2071,
62,
7753,
796,
1280,
10786,
37165,
13,
14116,
3256,
705,
86,
11537,
198,
220,
220,
220,
477,
62,
37165,
796,
29924,
13,
1136,
62,
37165,
7,
5219,
2625,
9654,
4943,
198,
220,
220,
220,
329,
2071,
287,
477,
62,
37165,
25,
198,
220,
220,
220,
220,
220,
220,
220,
1627,
796,
705,
4,
82,
59,
83,
4,
82,
6,
4064,
357,
21949,
13,
7220,
13,
38235,
11,
2071,
13,
7839,
8,
198,
220,
220,
220,
220,
220,
220,
220,
2071,
62,
7753,
13,
13564,
7,
1370,
1343,
705,
59,
77,
11537,
198,
220,
220,
220,
2071,
62,
7753,
13,
19836,
3419,
628,
220,
220,
220,
1303,
5412,
2836,
2428,
198,
220,
220,
220,
7035,
796,
37250,
43,
3219,
3256,
705,
73,
1015,
1326,
3256,
705,
23548,
1419,
20520,
198,
220,
220,
220,
8177,
62,
7890,
796,
17635,
198,
220,
220,
220,
2168,
62,
7890,
796,
23884,
198,
220,
220,
220,
6163,
796,
23884,
628,
220,
220,
220,
351,
1280,
10786,
37165,
13,
14116,
3256,
366,
81,
10,
4943,
355,
2836,
62,
37165,
62,
7753,
25,
198,
220,
220,
220,
220,
220,
220,
220,
329,
2071,
62,
1370,
287,
2836,
62,
37165,
62,
7753,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
3354,
796,
2071,
62,
1370,
13,
35312,
10786,
59,
83,
11537,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6818,
18896,
7,
42632,
8,
6624,
362,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2836,
62,
3672,
796,
3354,
58,
15,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2071,
62,
7839,
796,
3354,
58,
16,
60,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
2836,
62,
3672,
287,
2168,
62,
7890,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
954,
796,
2168,
62,
7890,
58,
7220,
62,
3672,
60,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
954,
796,
954,
1343,
352,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2168,
62,
7890,
58,
7220,
62,
3672,
60,
796,
954,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
8177,
62,
7890,
13,
33295,
7,
7220,
62,
3672,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
2168,
62,
7890,
58,
7220,
62,
3672,
60,
796,
352,
628,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
6163,
58,
7220,
62,
3672,
60,
796,
6407,
628,
220,
220,
220,
6163,
17816,
43,
3219,
20520,
796,
10352,
198,
220,
220,
220,
6163,
17816,
73,
1015,
1326,
20520,
796,
10352,
198,
220,
220,
220,
6163,
17816,
23548,
1419,
20520,
796,
10352,
628,
220,
220,
220,
1303,
10385,
284,
304,
354,
5889,
1366,
965,
48715,
198,
220,
220,
220,
304,
354,
5889,
796,
705,
7061,
7785,
8177,
6601,
796,
4064,
82,
26,
59,
77,
7785,
2168,
6601,
796,
4064,
82,
26,
59,
77,
7785,
6163,
796,
4064,
82,
26,
59,
77,
59,
77,
7785,
1366,
796,
1391,
1455,
437,
6601,
25,
8177,
6601,
11,
2168,
6601,
25,
2168,
6601,
11,
6163,
25,
6163,
19629,
198,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
705,
7061,
4064,
357,
13564,
62,
1455,
437,
62,
7890,
7,
1455,
437,
62,
7890,
828,
3551,
62,
25076,
62,
7890,
7,
25076,
62,
7890,
828,
3551,
62,
34213,
7,
34213,
4008,
198,
220,
220,
220,
3601,
304,
354,
5889,
198
] | 2.256691 | 822 |
# -*- coding: utf-8 -*-
from . import op_student
from . import op_admission
from . import account_invoice | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
6738,
764,
1330,
1034,
62,
50139,
198,
6738,
764,
1330,
1034,
62,
324,
3411,
198,
6738,
764,
220,
1330,
1848,
62,
16340,
2942
] | 2.815789 | 38 |
import numpy as np
from multiagent_envs.multiagent.core import World, Agent, Landmark, Hole, Snack, Obstacle
from multiagent_envs.multiagent.scenario import BaseScenario
import pdb
from vars import pargs
import math
#from train import past
import random
from a2c_ppo_acktr.arguments import get_args
| [
11748,
299,
32152,
355,
45941,
198,
6738,
5021,
25781,
62,
268,
14259,
13,
41684,
25781,
13,
7295,
1330,
2159,
11,
15906,
11,
6379,
4102,
11,
24478,
11,
5489,
441,
11,
46378,
6008,
198,
6738,
5021,
25781,
62,
268,
14259,
13,
41684,
25781,
13,
1416,
39055,
1330,
7308,
3351,
39055,
198,
11748,
279,
9945,
198,
6738,
410,
945,
1330,
279,
22046,
198,
11748,
10688,
198,
2,
6738,
4512,
1330,
1613,
198,
11748,
4738,
198,
6738,
257,
17,
66,
62,
16634,
62,
441,
2213,
13,
853,
2886,
1330,
651,
62,
22046,
628
] | 3.333333 | 90 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.