xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

de30a52e0b4579bc553409df217b60c1fd806d8d

133

py

Python

api/weather/WeatherExceptions.py

Gabriel737/CadorsMap

2bca28b8bda79caad1149bcedd1dc4953c84e13b

[ "MIT" ]

1

2021-12-11T21:11:06.000Z

api/weather/WeatherExceptions.py

Gabriel737/CadorsMap

2bca28b8bda79caad1149bcedd1dc4953c84e13b

[ "MIT" ]

null

api/weather/WeatherExceptions.py

Gabriel737/CadorsMap

2bca28b8bda79caad1149bcedd1dc4953c84e13b

[ "MIT" ]

1

2021-12-11T21:01:57.000Z

class WeatherServiceFailedToLocateException(Exception): pass class WeatherServiceFailedToRetrieveException(Exception): pass

22.166667

57

0.842105

8

133

14

0.625

0.232143

0

0.112782

133

5

58

26.6

0.949153

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

6

de53502fed3045d6971e1be827a78848028fe946

28

py

Python

test.py

kinget007/aadb

dd989e6a724982be7e2990d50945bc2f87c06391

[ "Apache-2.0" ]

1

2020-08-10T08:40:27.000Z

test.py

amikey/aadb

dd989e6a724982be7e2990d50945bc2f87c06391

[ "Apache-2.0" ]

null

test.py

amikey/aadb

dd989e6a724982be7e2990d50945bc2f87c06391

[ "Apache-2.0" ]

null

print('aadb is coming soon')

28

0.75

5

28

4.2

1

0

0.107143

28

1

28

0.84

0

0.655172

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

dea1bfd13e09a43f0f723e22c8e3130af82a4d91

49

py

Python

convlab2/dst/rule/camrest/__init__.py

ljw23/ConvLab-2

13d48ea0e441701bd66100689b6c25b561f15525

[ "Apache-2.0" ]

339

2020-03-04T09:43:22.000Z

2022-03-26T17:27:38.000Z

convlab2/dst/rule/camrest/__init__.py

ljw23/ConvLab-2

13d48ea0e441701bd66100689b6c25b561f15525

[ "Apache-2.0" ]

122

2020-04-12T04:19:06.000Z

2022-03-23T14:20:57.000Z

convlab2/dst/rule/camrest/__init__.py

ljw23/ConvLab-2

13d48ea0e441701bd66100689b6c25b561f15525

[ "Apache-2.0" ]

138

2020-02-18T16:48:04.000Z

2022-03-26T17:27:43.000Z

from convlab2.dst.rule.camrest.dst import RuleDST

49

0.857143

8

49

5.25

0.875

0

0.021739

0.061224

49

1

49

0.891304

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

deb46a7f6e6e74acfe3d4fae830a534cb3b51925

66

py

Python

hcfg/__init__.py

hyper1923/hcfg

ad37e2bf4a5cc78c4f93331321611d642e52d7d3

[ "MIT" ]

4

2021-07-25T21:01:33.000Z

2021-12-17T12:35:16.000Z

hcfg/__init__.py

hyper1923/hcfg

ad37e2bf4a5cc78c4f93331321611d642e52d7d3

[ "MIT" ]

null

hcfg/__init__.py

hyper1923/hcfg

ad37e2bf4a5cc78c4f93331321611d642e52d7d3

[ "MIT" ]

1

2021-07-25T21:01:35.000Z

from hcfg.hyperconfig import * from hcfg.exceptions import *

22

33

0.742424

8

66

6.125

0.625

0.326531

0

0.19697

66

2

34

33

0.924528

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

721fdbbe2ca4081ccc0d92b71761976d2354d4e8

1,431

py

Python

sevdeskapi/test/test_contact.py

Sachs-Media/sevdeskapi

c0e9b4ab60b8926656aaa21fdf421357c2e947b6

[ "MIT" ]

6

2020-08-05T19:47:35.000Z

2022-01-14T12:07:41.000Z

sevdeskapi/test/test_contact.py

Sachs-Media/sevdeskapi

c0e9b4ab60b8926656aaa21fdf421357c2e947b6

[ "MIT" ]

5

2020-08-20T22:45:39.000Z

2021-03-01T13:50:31.000Z

sevdeskapi/test/test_contact.py

Sachs-Media/sevdeskapi

c0e9b4ab60b8926656aaa21fdf421357c2e947b6

[ "MIT" ]

null

from unittest import TestCase from sevdeskapi.models.contact import Contact class ContactTestCase(TestCase): def test_simplecontact(self): c = Contact(familyName="famvalue", sureName="surname", title="title", description="description", gender="m") self.assertEqual(c.get_dict(), {'familyname': 'famvalue', 'surename': 'surname', 'titel': 'title', 'description': 'description', 'gender': 'm'}) c = Contact(familyName="famvalue", sureName="surname", title="title", description="description", gender="m", anotherarg="foo") self.assertEqual(c.get_dict(), {'familyname': 'famvalue', 'surename': 'surname', 'titel': 'title', 'description': 'description', 'gender': 'm'}) def test_nested(self): c = Contact(familyName="famvalue", sureName="surname", title="title", description="description", gender="m", **{"category[id]": 234}) self.assertTrue(hasattr(c, "category")) self.assertEqual(c.category.id, 234) self.assertDictEqual(c.get_dict(), {'familyname': 'famvalue', 'surename': 'surname', 'titel': 'title', 'description': 'description', 'gender': 'm', 'category[id]': 234})

37.657895

177

0.535989

121

1,431

6.297521

0.289256

0.141732

0.204724

0.259843

0.713911

0.67979

0

0.009073

0.306778

1,431

37

178

38.675676

0.759073

0

0.592593

0

0.242657

0

0.185185

1

0.074074

false

0

0.074074

0

0.185185

0

null

0

1

0

1

0

1

0

null

0

6

a0e0e1ca8f95b6014a4580e2d88481acec76f83b

47

py

Python

src/filtering/__init__.py

ryanapfel/clustering

682bf22eeff2253acc0128323db97968a9a3b420

[ "MIT" ]

null

src/filtering/__init__.py

ryanapfel/clustering

682bf22eeff2253acc0128323db97968a9a3b420

[ "MIT" ]

null

src/filtering/__init__.py

ryanapfel/clustering

682bf22eeff2253acc0128323db97968a9a3b420

[ "MIT" ]

null

from src.filtering.scene import SceneHeuristic

23.5

46

0.87234

6

47

6.833333

1

0

0.085106

47

1

47

0.953488

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

a0ff35708e4a58b5ea4b5f5e4a27cc8adbbaa318

94

py

Python

src/patching/__init__.py

okunator/Dippa

dcbb7056511dd6f66bcc7b095716c385d0b0a8bb

[ "MIT" ]

13

2021-01-25T07:47:03.000Z

2022-01-20T16:02:51.000Z

src/patching/__init__.py

okunator/Dippa

dcbb7056511dd6f66bcc7b095716c385d0b0a8bb

[ "MIT" ]

1

2022-02-12T15:03:23.000Z

src/patching/__init__.py

okunator/Dippa

dcbb7056511dd6f66bcc7b095716c385d0b0a8bb

[ "MIT" ]

null

from .tiler_stitcher import TilerStitcher from .tiler_stitcher_torch import TilerStitcherTorch

47

52

0.904255

11

94

7.454545

0.636364

0.219512

0.414634

0

0.074468

94

2

52

47

0.942529

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

9d368f45052c9ffe98159f3d65ff81262cd9eb2a

4,496

py

Python

irl/mlp_model.py

tue-mps/EM-GAIL

e7200d08a569483477dfc738acc9a514169df49e

[ "Apache-2.0" ]

null

irl/mlp_model.py

tue-mps/EM-GAIL

e7200d08a569483477dfc738acc9a514169df49e

[ "Apache-2.0" ]

null

irl/mlp_model.py

tue-mps/EM-GAIL

e7200d08a569483477dfc738acc9a514169df49e

[ "Apache-2.0" ]

null

import torch import torch.nn as nn from torch.distributions import Independent from torch.distributions.normal import Normal class EMGPolicy(nn.Module): def __init__(self, intention_dim, state_dim, action_dim, hidden_dim=64): super(EMGPolicy, self).__init__() self.intention_dim = intention_dim self.state_dim = state_dim self.pol1 = nn.Sequential( nn.Linear(state_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, action_dim) ) self.pol1[-1].weight.data *= 0.1 self.pol1[-1].bias.data *= 0.0 self.pol2 = nn.Sequential( nn.Linear(state_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, action_dim) ) self.pol2[-1].weight.data *= 0.1 self.pol2[-1].bias.data *= 0.0 self.log_std = nn.Parameter(torch.zeros(action_dim), requires_grad=True) def forward(self, x): sq = False if len(x.size()) == 1: sq = True x = x.unsqueeze(0) intention = torch.narrow(x, -1, 0, self.intention_dim) state = torch.narrow(x, -1, self.intention_dim, self.state_dim) l = len(x.size()) out = [] out.append(self.pol1(state.clone())) out.append(self.pol2(state.clone())) out = torch.stack(out, dim=l-1) intention = intention.unsqueeze(l).repeat(1,1,out.size(-1)) mean = torch.sum(out*intention, dim=l-1) if sq: mean = mean.squeeze(0) std = torch.exp(self.log_std) normal_dist = Independent(Normal(loc=mean, scale=std), 1) return normal_dist class EMGValue(nn.Module): def __init__(self, intention_dim, state_dim, hidden_dim=64): super(EMGValue, self).__init__() self.intention_dim = intention_dim self.state_dim = state_dim self.val1 = nn.Sequential( nn.Linear(state_dim + 1, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, 1) ) self.val1[-1].weight.data *= 0.1 self.val1[-1].bias.data *= 0.0 self.val2 = nn.Sequential( nn.Linear(state_dim + 1, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, 1) ) self.val2[-1].weight.data *= 0.1 self.val2[-1].bias.data *= 0.0 def forward(self, x): intention = torch.narrow(x, -1, 0, self.intention_dim) state = torch.narrow(x, -1, self.intention_dim, self.state_dim+1) l = len(x.size()) out = [] out.append(self.val1(state.clone())) out.append(self.val2(state.clone())) out = torch.stack(out, dim=l-1) intention = intention.unsqueeze(l).repeat(1,1,out.size(-1)) out = torch.sum(out*intention, dim=l-1) return out class GPolicy(nn.Module): def __init__(self, intention_dim, state_dim, action_dim, hidden_dim=64): super(GPolicy, self).__init__() self.intention_dim = intention_dim self.state_dim = state_dim self.pol = nn.Sequential( nn.Linear(state_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, action_dim) ) self.pol[-1].weight.data *= 0.1 self.pol[-1].bias.data *= 0.0 self.log_std = nn.Parameter(torch.zeros(action_dim), requires_grad=True) def forward(self, x): x = torch.narrow(x, -1, self.intention_dim, self.state_dim) mean = self.pol(x) std = torch.exp(self.log_std) normal_dist = Independent(Normal(loc=mean, scale=std), 1) return normal_dist class GValue(nn.Module): def __init__(self, intention_dim, state_dim, hidden_dim=64): super(GValue, self).__init__() self.intention_dim = intention_dim self.state_dim = state_dim self.val = nn.Sequential( nn.Linear(state_dim + 1, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, hidden_dim), nn.Tanh(), nn.Linear(hidden_dim, 1) ) self.val[-1].weight.data *= 0.1 self.val[-1].bias.data *= 0.0 def forward(self, x): x = torch.narrow(x, -1, self.intention_dim, self.state_dim+1) out = self.val(x) return out

33.058824

80

0.586521

629

4,496

4.006359

0.108108

0.1

0.088889

0.071429

0.855952

0.837698

0.785317

0.765476

0.745635

0.730952

0

0.027906

0.274689

4,496

135

81

33.303704

0.744864

0

0.5

0

1

0.074074

false

0

0.037037

0

0.185185

0

null

0

1

0

null

0

6

9d53e98b93114f35d101a3ef37c55941a5613b03

21,494

py

Python

tests/test/python3/dataframe.py

mace84/script-languages

d586cbe212bbb4efbfb39e095183729c65489360

[ "MIT" ]

2

2020-09-06T09:29:12.000Z

2020-09-06T09:29:14.000Z

tests/test/python3/dataframe.py

mace84/script-languages

d586cbe212bbb4efbfb39e095183729c65489360

[ "MIT" ]

1

2019-05-06T07:36:11.000Z

tests/test/python3/dataframe.py

mace84/script-languages

d586cbe212bbb4efbfb39e095183729c65489360

[ "MIT" ]

1

2019-05-03T08:49:29.000Z

#!/usr/bin/env python2.7 import os import sys sys.path.append(os.path.realpath(__file__ + '/../../../lib')) import udf class PandasDataFrame(udf.TestCase): def setUp(self): from decimal import Decimal from datetime import date from datetime import datetime self.query('CREATE SCHEMA FN2', ignore_errors=True) self.query('OPEN SCHEMA FN2', ignore_errors=True) self.col_names = 'C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11' self.col_defs = 'C1 Decimal(2,0), C2 Decimal(4,0), C3 Decimal(8,0), C4 Decimal(16,0), C5 Decimal(36,0), C6 DOUBLE, C7 BOOLEAN, C8 VARCHAR(500), C9 CHAR(10), C10 DATE, C11 TIMESTAMP' self.col_vals = "1, 1234, 12345678, 1234567890123456, 123456789012345678901234567890123456, 12345.6789, TRUE, 'abcdefghij', 'abcdefgh', '2018-10-12', '2018-10-12 12:15:30.123'" self.col_tuple = (Decimal('1'), Decimal('1234'), Decimal('12345678'), Decimal('1234567890123456'), Decimal('123456789012345678901234567890123456'), 12345.6789, True, 'abcdefghij', 'abcdefgh ', date(2018, 10, 12), datetime(2018, 10, 12, 12, 15, 30, 123000)) self.query('CREATE TABLE TEST1(C0 INT IDENTITY, %s)' % (self.col_defs)) self.query('INSERT INTO TEST1 (%s) VALUES (%s)' % (self.col_names, self.col_vals)) #num_inserts = 6 num_inserts = 9 for i in range(num_inserts): self.query('INSERT INTO TEST1 (%s) SELECT %s FROM TEST1' % (self.col_names, self.col_names)) self.num_rows = 2**num_inserts self.col_names = 'C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11' self.col_defs = 'C1 Decimal(2,0), C2 Decimal(4,0), C3 Decimal(8,0), C4 Decimal(16,0), C5 Decimal(36,0), C6 DOUBLE, C7 BOOLEAN, C8 VARCHAR(500), C9 CHAR(10), C10 DATE, C11 TIMESTAMP' self.query('CREATE TABLE TEST2(C0 INT IDENTITY, %s)' % (self.col_defs)) self.col_vals = "1, 1, 1, 1, 1, 1, TRUE, 'abcdefghij', 'abcdefgh', '2018-10-12', '2018-10-12 12:15:30.123'" self.query('INSERT INTO TEST2 (%s) VALUES (%s)' % (self.col_names, self.col_vals)) self.col_vals = "1, 1234, 12345678, 1234567890123456, 123456789012345678901234567890123456, 12345.6789, TRUE, 'abcdefghij', 'abcdefgh', '2018-10-12', '2018-10-12 12:15:30.123'" self.query('INSERT INTO TEST2 (%s) VALUES (%s)' % (self.col_names, self.col_vals)) self.col_vals = "NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL" self.query('INSERT INTO TEST2 (%s) VALUES (%s)' % (self.col_names, self.col_vals)) self.col_tuple_1 = (Decimal('1'), Decimal('1'), Decimal('1'), Decimal('1'), Decimal('1'), 1, True, 'abcdefghij', 'abcdefgh ', date(2018, 10, 12), datetime(2018, 10, 12, 12, 15, 30, 123000)) self.col_tuple_2 = (Decimal('1'), Decimal('1234'), Decimal('12345678'), Decimal('1234567890123456'), Decimal('123456789012345678901234567890123456'), 12345.6789, True, 'abcdefghij', 'abcdefgh ', date(2018, 10, 12), datetime(2018, 10, 12, 12, 15, 30, 123000)) self.col_tuple_null = (None, None, None, None, None, None, None, None, None, None, None) self.test3_col_names = 'C1' self.test3_col_defs = 'C1 INTEGER' self.query('CREATE TABLE TEST3(C0 INT IDENTITY, %s)' % (self.test3_col_defs)) self.test3_col_tuple = [] self.test3_num_rows = 10 for i in range(self.test3_num_rows): col_vals = str(i) self.test3_col_tuple.append((col_vals,)) self.query('INSERT INTO TEST3 (%s) VALUES (%s)' % (self.test3_col_names, col_vals)) def test_dataframe_scalar_emits(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe() ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([self.col_tuple]*self.num_rows, rows) def test_dataframe_scalar_returns(self): from decimal import Decimal self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) RETURNS DECIMAL(10,5) AS import numpy as np def run(ctx): df = ctx.get_dataframe() return np.asscalar(df.iloc[0, 0] + df.iloc[0, 1]) / ''' % (self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([(Decimal('1235'),)]*self.num_rows, rows) def test_dataframe_scalar_emits_no_iter(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe() df = ctx.get_dataframe() df = ctx.get_dataframe() ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([self.col_tuple]*self.num_rows, rows) def test_dataframe_scalar_emits_col_names(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe() ctx.emit(*(df.columns.tolist())) / ''' % (self.col_defs, 'X1 VARCHAR(5), X2 VARCHAR(5), X3 VARCHAR(5), X4 VARCHAR(5), X5 VARCHAR(5), X6 VARCHAR(5), X7 VARCHAR(5), X8 VARCHAR(5), X9 VARCHAR(5), X10 VARCHAR(5), X11 VARCHAR(5)'))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([tuple(self.col_names.split(", "))]*self.num_rows, rows) def test_dataframe_scalar_emits_unique(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(C0 INT) EMITS(C0 INT) AS import numpy as np def run(ctx): df = ctx.get_dataframe() ctx.emit(np.asscalar(df.C0)) / ''')) rows = self.query('SELECT foo(C0) FROM FN2.TEST1') self.assertEqual(self.num_rows, len(set([x[0] for x in rows]))) def test_dataframe_scalar_emits_all_unique(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(C0 INT) EMITS(C0 INT) AS import numpy as np def run(ctx): df = ctx.get_dataframe(num_rows="all") ctx.emit(np.asscalar(df.C0)) / ''')) rows = self.query('SELECT foo(C0) FROM FN2.TEST1') self.assertEqual(self.num_rows, len(set([x[0] for x in rows]))) def test_dataframe_scalar_emits_empty(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS import pandas as pd def run(ctx): df = pd.DataFrame() ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'emit DataFrame is empty'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_scalar_emits_wrong_args0(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS import pandas as pd def run(ctx): df = pd.DataFrame([[]]) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'emit takes exactly 11 arguments $0 given$'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_scalar_emits_wrong_args7(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe() df = df.iloc[:, 1:] ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'emit takes exactly 11 arguments $10 given$'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows="all") ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([self.col_tuple]*self.num_rows, rows) def test_dataframe_set_returns(self): from decimal import Decimal self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) RETURNS DECIMAL(10,5) AS import numpy as np def run(ctx): df = ctx.get_dataframe(num_rows="all") return np.asscalar(df.iloc[:, 0].sum()) / ''' % (self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([(Decimal(self.num_rows),)], rows) def test_dataframe_set_emits_iter(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): while True: df = ctx.get_dataframe(num_rows=1) if df is None: break ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([self.col_tuple]*self.num_rows, rows) def test_dataframe_set_emits_iter_getattr(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(R VARCHAR(1000)) AS def run(ctx): BATCH_ROWS = 1 while True: df = ctx.get_dataframe(num_rows=BATCH_ROWS) if df is None: break ctx.emit(df.applymap(lambda x: "df_"+str(x))) try: ctx.emit("getattr_"+str(ctx.C1)) ctx.emit("eob") # end of batch except: ctx.emit("eoi") # end of iteration / ''' % (self.test3_col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST3' % (self.test3_col_names)) expected_result = [("df_"+str(self.test3_col_tuple[0][0]),)] for i in range(1,self.test3_num_rows): expected_result.append(("getattr_"+str(self.test3_col_tuple[i][0]),)) expected_result.append(("eob",)) expected_result.append(("df_"+str(self.test3_col_tuple[i][0]),)) expected_result.append(("eoi",)) self.assertRowsEqual(expected_result, rows) def test_dataframe_set_emits_iter_exception(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): while True: df = ctx.get_dataframe(num_rows=1) if df is None: #break df = ctx.get_dataframe(num_rows=1) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'Iteration finished'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_col_names(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): while True: df = ctx.get_dataframe(num_rows=1) if df is None: break ctx.emit(*(df.columns.tolist())) / ''' % (self.col_defs, 'X1 VARCHAR(5), X2 VARCHAR(5), X3 VARCHAR(5), X4 VARCHAR(5), X5 VARCHAR(5), X6 VARCHAR(5), X7 VARCHAR(5), X8 VARCHAR(5), X9 VARCHAR(5), X10 VARCHAR(5), X11 VARCHAR(5)'))) rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) self.assertRowsEqual([tuple(self.col_names.split(", "))]*self.num_rows, rows) def test_dataframe_set_emits_unique(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(C0 INT) EMITS(C0 INT) AS import numpy as np def run(ctx): while True: df = ctx.get_dataframe(num_rows=1) if df is None: break ctx.emit(np.asscalar(df.C0)) / ''')) rows = self.query('SELECT foo(C0) FROM FN2.TEST1') self.assertEqual(self.num_rows, len(set([x[0] for x in rows]))) def test_dataframe_set_emits_all_unique(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(C0 INT) EMITS(C0 INT) AS import numpy as np def run(ctx): while True: df = ctx.get_dataframe(num_rows="all") if df is None: break for i in range(df.shape[0]): ctx.emit(np.asscalar(df.iloc[i, 0])) / ''')) rows = self.query('SELECT foo(C0) FROM FN2.TEST1') self.assertEqual(self.num_rows, len(set([x[0] for x in rows]))) def test_dataframe_set_emits_empty(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS import pandas as pd def run(ctx): df = pd.DataFrame() ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'emit DataFrame is empty'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_wrong_args0(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS import pandas as pd def run(ctx): df = pd.DataFrame([[]]) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'emit takes exactly 11 arguments $0 given$'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_wrong_args7(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows="all") df = df.iloc[:, 1:] ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'emit takes exactly 11 arguments $10 given$'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_numrows_not_all(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows="some") ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'get_dataframe parameter'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_numrows_not_int(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows=True) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'get_dataframe parameter'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_numrows_zero(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows=0) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, 'get_dataframe parameter'): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_set_emits_numrows_negative(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows=-1) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, "get_dataframe parameter"): rows = self.query('SELECT foo(%s) FROM FN2.TEST1' % (self.col_names)) def test_dataframe_scalar_emits_null(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe() ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST2' % (self.col_names)) self.assertRowsEqual([self.col_tuple_1, self.col_tuple_2, self.col_tuple_null], rows) def test_dataframe_set_emits_null(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows='all') ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) rows = self.query('SELECT foo(%s) FROM FN2.TEST2' % (self.col_names)) self.assertRowsEqual([self.col_tuple_1, self.col_tuple_2, self.col_tuple_null], rows) def test_dataframe_scalar_emits_start_col(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SCALAR SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(start_col=2) ctx.emit(df) / ''' % (self.col_defs, ', '.join(self.col_defs.split(', ')[2:])))) rows = self.query('SELECT foo(%s) FROM FN2.TEST2' % (self.col_names)) self.assertRowsEqual([self.col_tuple_1[2:], self.col_tuple_2[2:], self.col_tuple_null[2:]], rows) def test_dataframe_set_emits_null_start_col(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows='all', start_col=5) ctx.emit(df) / ''' % (self.col_defs, ', '.join(self.col_defs.split(', ')[5:])))) rows = self.query('SELECT foo(%s) FROM FN2.TEST2' % (self.col_names)) self.assertRowsEqual([self.col_tuple_1[5:], self.col_tuple_2[5:], self.col_tuple_null[5:]], rows) def test_dataframe_set_emits_null_start_col_negative(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows='all', start_col=-1) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, "must be an integer >= 0"): rows = self.query('SELECT foo(%s) FROM FN2.TEST2' % (self.col_names)) def test_dataframe_set_emits_null_start_col_too_large(self): self.query(udf.fixindent(''' CREATE OR REPLACE PYTHON3 SET SCRIPT foo(%s) EMITS(%s) AS def run(ctx): df = ctx.get_dataframe(num_rows='all', start_col=100000) ctx.emit(df) / ''' % (self.col_defs, self.col_defs))) with self.assertRaisesRegexp(Exception, "is 100000, but there are only %d input columns" % len(self.col_names.split(', '))): rows = self.query('SELECT foo(%s) FROM FN2.TEST2' % (self.col_names)) if __name__ == '__main__': udf.main() # vim: ts=4:sts=4:sw=4:et:fdm=indent

40.326454

267

0.545966

2,707

21,494

4.186184

0.078685

0.07042

0.048535

0.055595

0.898517

0.885016

0.868955

0.865602

0.850953

0.833657

0

0.057692

0.322602

21,494

532

268

40.402256

0.720604

0.003396

0

0.699115

0

0.024336

0.549143

0.049633

0

0.066372

1

0.068584

false

0

0.039823

0

0.115044

0

null

0

1

0

null

0

6

19c31c1feae44fb2c1ee0d9be3f1e5fe770f9df4

2,805

py

Python

flask_quiz/test_replay.py

LaerryLaessig/quiz

a3e3f5468cb839e320d64a642bf1416e4b3ee025

[ "MIT" ]

null

flask_quiz/test_replay.py

LaerryLaessig/quiz

a3e3f5468cb839e320d64a642bf1416e4b3ee025

[ "MIT" ]

null

flask_quiz/test_replay.py

LaerryLaessig/quiz

a3e3f5468cb839e320d64a642bf1416e4b3ee025

[ "MIT" ]

null

import unittest from flask_quiz.models import Question, Answer from flask_quiz.replay import get_next_question_and_is_last_answer_correct QUESTIONS = [Question(text='Question A', answer='Answer A', order_number=1), Question(text='Question B', answer='Answer B', order_number=2), Question(text='Question C', answer='Answer C', order_number=3)] class TestReplay(unittest.TestCase): def test_no_answer_correct(self): answers = [Answer(text='Answer', user='uuid')] next_question, last_correct = get_next_question_and_is_last_answer_correct(QUESTIONS, answers) self.assertEqual(next_question, QUESTIONS[0]) self.assertEqual(last_correct, False) def test_first_question_correct_last_answer_correct(self): answers = [Answer(text='Answer ', user='uuid'), Answer(text='Answer A', user='uuid')] next_question, last_correct = get_next_question_and_is_last_answer_correct(QUESTIONS, answers) self.assertEqual(next_question, QUESTIONS[1]) self.assertEqual(last_correct, True) def test_first_question_correct_last_answer_not_correct(self): answers = [Answer(text='Answer ', user='uuid'), Answer(text='Answer A', user='uuid'), Answer(text='Answer', user='uuid')] next_question, last_correct = get_next_question_and_is_last_answer_correct(QUESTIONS, answers) self.assertEqual(next_question, QUESTIONS[1]) self.assertEqual(last_correct, False) def test_first_question_correct_last_answer_correct_lower_case(self): answers = [Answer(text='Answer ', user='uuid'), Answer(text='answer a', user='uuid')] next_question, last_correct = get_next_question_and_is_last_answer_correct(QUESTIONS, answers) self.assertEqual(next_question, QUESTIONS[1]) self.assertEqual(last_correct, True) def test_first_question_correct_last_answer_correct_upper_case(self): answers = [Answer(text='Answer ', user='uuid'), Answer(text='ANSWER A', user='uuid')] next_question, last_correct = get_next_question_and_is_last_answer_correct(QUESTIONS, answers) self.assertEqual(next_question, QUESTIONS[1]) self.assertEqual(last_correct, True) def test_first_question_correct_last_answer_correct_upper_case(self): answers = [Answer(text='Answer A', user='uuid'), Answer(text='ANSWER B', user='uuid'), Answer(text='answer c', user='uuid')] next_question, last_correct = get_next_question_and_is_last_answer_correct(QUESTIONS, answers) self.assertEqual(next_question, None) self.assertEqual(last_correct, True) if __name__ == '__main__': unittest.main()

40.071429

102

0.6959

347

2,805

5.262248

0.138329

0.124863

0.11391

0.069003

0.83954

0.809967

0.757941

0

0.003551

0.196791

2,805

69

103

40.652174

0.806924

0

0.478261

0

0.074866

0

0.26087

1

0.130435

false

0

0.065217

0

0.217391

0

null

0

1

0

null

0

6

19c36a821cd6e8b3e56e0a6900ccc6d224402010

237

py

Python

ektu.py

ukgnail/projectdzz

ce0c61359418fbc40b308220126dde35fd792612

[ "MIT" ]

null

ektu.py

ukgnail/projectdzz

ce0c61359418fbc40b308220126dde35fd792612

[ "MIT" ]

null

ektu.py

ukgnail/projectdzz

ce0c61359418fbc40b308220126dde35fd792612

[ "MIT" ]

null

print("545 56498 44 51 89 15 315 694 89 52 3168 54189 ") print("Danniye po prognozu 1 2 3 4 5 6 sboru (soya)") print("1 - 78.65 ") print("2 - 89.46") print("3 - 98.45 ") print("4 - 97.61 ") print("5 - 85.46") print("6 - 96.44 ")

26.333333

57

0.578059

49

237

2.795918

0.653061

0.10219

0

0.387978

0.227848

237

8

58

29.625

0.360656

0

0.650655

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

1

0

6

c2388fa448db2cba5550c8561322cff2a9733925

43

py

Python

ejercicios_resueltos/t10/t10ejer01.py

workready/pythonbasic

59bd82caf99244f5e711124e1f6f4dec8de22141

[ "MIT" ]

null

ejercicios_resueltos/t10/t10ejer01.py

workready/pythonbasic

59bd82caf99244f5e711124e1f6f4dec8de22141

[ "MIT" ]

null

ejercicios_resueltos/t10/t10ejer01.py

workready/pythonbasic

59bd82caf99244f5e711124e1f6f4dec8de22141

[ "MIT" ]

null

import numpy as np print(np.zeros((3, 4)))

14.333333

23

0.674419

9

43

3.222222

0.888889

0

0.054054

0.139535

43

3

23

14.333333

0.72973

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

df9fe300671be354494d95462a8ff86845567dd5

177

py

Python

Movie Recommender System/latent_factor/__init__.py

LuciFR1809/IR-Projects

ecddc829df7b380dff721cbf3d4d3f33303ff54d

[ "MIT" ]

null

Movie Recommender System/latent_factor/__init__.py

LuciFR1809/IR-Projects

ecddc829df7b380dff721cbf3d4d3f33303ff54d

[ "MIT" ]

null

Movie Recommender System/latent_factor/__init__.py

LuciFR1809/IR-Projects

ecddc829df7b380dff721cbf3d4d3f33303ff54d

[ "MIT" ]

null

import os from .config import * from .preprocessor import * from .model import * if not os.path.exists('./latent_factor/binaries'): os.makedirs("./latent_factor/binaries")

22.125

50

0.734463

24

177

5.333333

0.583333

0.15625

0.3125

0

0.129944

177

7

51

25.285714

0.831169

0

0.271186

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

dfaff3f5b14f9d741bdfb0c91a3e9ffde7e91b51

76

py

Python

app/dao/org.py

Jimmy-Xu/fastapi_demo

f19c629cc7fa0e0e47e73e8688cd019bc74aa982

[ "MIT" ]

12

2020-09-01T09:19:41.000Z

2022-03-17T05:48:50.000Z

app/dao/org.py

Jimmy-Xu/fastapi_demo

f19c629cc7fa0e0e47e73e8688cd019bc74aa982

[ "MIT" ]

null

app/dao/org.py

Jimmy-Xu/fastapi_demo

f19c629cc7fa0e0e47e73e8688cd019bc74aa982

[ "MIT" ]

3

2021-04-26T02:53:04.000Z

2021-11-01T14:32:38.000Z

from fastapi_plus.dao.base import BaseDao class OrgDao(BaseDao): pass

12.666667

41

0.763158

11

76

5.181818

0.909091

0

0.171053

76

5

42

15.2

0.904762

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

5f1da0dd0c201e8aedc1552ef82a1780eb37276d

41

py

Python

tools/third_party/certifi/certifi/__main__.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

virtual/lib/python3.6/site-packages/pip/_vendor/certifi/__main__.py

annstella/blog

1cdb7e7e7df028a84fae9b7d901116aae577589d

[ "MIT" ]

7,642

2018-05-28T09:38:03.000Z

2022-03-31T20:55:48.000Z

lib/python2.7/site-packages/pip/_vendor/certifi/__main__.py

anish03/weather-dash

d517fa9da9028d1fc5d8fd71d77cee829ddee87b

[ "MIT" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

from certifi import where print(where())

13.666667

25

0.780488

6

41

5.333333

0.833333

0

0.121951

41

2

26

20.5

0.888889

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

a07eadbacdb1ed52fade9c7181ce94cb2adfb7a8

74

py

Python

pushkin/protobuf/__init__.py

Nordeus/pushkin

39f7057d3eb82c811c5c6b795d8bc7df9352a217

[ "MIT" ]

281

2016-03-29T16:36:22.000Z

2022-03-13T10:28:10.000Z

pushkin/protobuf/__init__.py

Nordeus/pushkin

39f7057d3eb82c811c5c6b795d8bc7df9352a217

[ "MIT" ]

34

2016-04-11T08:48:51.000Z

2019-08-17T15:36:15.000Z

pushkin/protobuf/__init__.py

Nordeus/pushkin

39f7057d3eb82c811c5c6b795d8bc7df9352a217

[ "MIT" ]

66

2016-04-07T14:29:26.000Z

2022-03-30T13:17:38.000Z

from . import EventMessage_pb2 from . import PushNotificationMessage_pb2

24.666667

42

0.851351

8

74

7.625

0.625

0.327869

0

0.030769

0.121622

74

2

43

37

0.907692

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

39ff2cc3a5d88f593062c71f25b75aa28175c98c

1,479

py

Python

src/my_utils/example.py

xenakal/Simulation_Interactions

4e428bb70445ba7fd2d102facdd18c5def4542b7

[ "MIT" ]

2

2021-03-24T07:26:40.000Z

2022-02-05T23:07:27.000Z

src/my_utils/example.py

xenakal/Simulation_Interactions

4e428bb70445ba7fd2d102facdd18c5def4542b7

[ "MIT" ]

null

src/my_utils/example.py

xenakal/Simulation_Interactions

4e428bb70445ba7fd2d102facdd18c5def4542b7

[ "MIT" ]

null

def static_layout(param1, param2): """ :description fells free to gives a brief explanation on the function :param 1. (type) name -- description 2. (type) name -- description :return / modify vector 1. (type) name -- description 2. (type) name -- description """ class Example: """ Class Example. Description : This class gives a standart version for the layout of a file :param 1. (type) name -- description 2. (type) name -- description 3. (type) name -- description :attibutes 1. (type) name -- description 2. (type) name -- description 3. (type) name -- description :notes fells free to write some comments. """ def __init__(self): pass def get_layout(self, param1, param2): """ :description fells free to gives a brief explanation on the function :param 1. (type) name -- description 2. (type) name -- description :return / modify vector 1. (type) name -- description 2. (type) name -- description """ # TODO: en fait faudrait peut-être utiliser le format des docString.. Et pour le type, vaut mieux utiliser typehints # quand on fait le refactor

26.410714

116

0.513861

151

1,479

4.993377

0.397351

0.148541

0.352785

0.159151

0.622016

0.615385

0

0.020408

0.403651

1,479

55

117

26.890909

0.834467

0.69574

0

0.018182

0

1

0.6

false

0.2

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

1

0

6

26254b38c6e7d55a882a99657d0c90effd69d0e0

106

py

Python

server/dvalib/__init__.py

Yinqingwen/Dva

3b8d1d1435f6a804a9c370006b931f9dc50a7462

[ "BSD-3-Clause", "Apache-2.0", "MIT" ]

3

2019-03-05T00:46:56.000Z

2021-11-26T10:20:40.000Z

server/dvalib/__init__.py

jiangxu87/DeepVideoAnalytics

e401b3273782409b2604657514bec293d6aa75b0

[ "MIT", "Apache-2.0", "BSD-3-Clause" ]

null

server/dvalib/__init__.py

jiangxu87/DeepVideoAnalytics

e401b3273782409b2604657514bec293d6aa75b0

[ "MIT", "Apache-2.0", "BSD-3-Clause" ]

4

2021-09-22T07:47:27.000Z

2022-01-23T14:16:08.000Z

import logging try: import facenet except ImportError: logging.warning("Could not import facenet")

21.2

47

0.764151

13

106

6.230769

0.692308

0.320988

0

0.169811

106

5

47

21.2

0.920455

0

0.224299

0

1

0

true

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

262a1b94845345c78cd13e1d40d591a1227fcf35

140

py

Python

barnard/barnard/main.py

tailhook/mglawica

f61411c03db380784852de7cc041794e9f74bb17

[ "Apache-2.0", "MIT" ]

6

2016-12-01T11:43:01.000Z

2019-02-06T08:01:56.000Z

barnard/barnard/main.py

tailhook/mglawica

f61411c03db380784852de7cc041794e9f74bb17

[ "Apache-2.0", "MIT" ]

1

2017-11-09T01:17:18.000Z

barnard/barnard/main.py

tailhook/mglawica

f61411c03db380784852de7cc041794e9f74bb17

[ "Apache-2.0", "MIT" ]

null

import click @click.group() def main(): pass from . import check from . import deploy from . import inject from . import bootstrap

10

23

0.7

19

140

5.157895

0.578947

0.408163

0

0.221429

140

13

24

10.769231

0.899083

0

1

0.125

true

0.125

0.625

0

0.75

0

1

0

null

1

0

null

0

1

0

1

0

6

2669bd6d99824e6df130d978840565c02f33566e

7,149

py

Python

tests/test_routes/test_routes_string.py

hed-standard/hed-web

8603526266dff78cf07e49e6c0f0c715a9225289

[ "MIT" ]

null

tests/test_routes/test_routes_string.py

hed-standard/hed-web

8603526266dff78cf07e49e6c0f0c715a9225289

[ "MIT" ]

null

tests/test_routes/test_routes_string.py

hed-standard/hed-web

8603526266dff78cf07e49e6c0f0c715a9225289

[ "MIT" ]

2

2022-02-04T19:55:40.000Z

2022-02-04T21:36:04.000Z

import json import unittest from tests.test_web_base import TestWebBase from hedweb.constants import base_constants class Test(TestWebBase): def test_string_results_empty_data(self): response = self.app.test.post('/string_submit') self.assertEqual(200, response.status_code, 'HED string request succeeds even when no data') self.assertTrue(response.data, "The returned data for empty string question is not empty") response_dict = json.loads(response.data) self.assertIsInstance(response_dict, dict, "The empty string response data is returned in a dictionary") self.assertTrue(response_dict["message"], "The empty string response message is not empty") def test_string_results_to_long(self): with self.app.app_context(): test_string = 'Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/Red-color/Red' input_data = {base_constants.SCHEMA_VERSION: '8.0.0', base_constants.COMMAND_OPTION: base_constants.COMMAND_TO_LONG, base_constants.CHECK_FOR_WARNINGS: 'on', base_constants.STRING_INPUT: test_string} response = self.app.test.post('/string_submit', content_type='multipart/form-data', data=input_data) self.assertEqual(200, response.status_code, 'To long of a long string has a response') response_dict = json.loads(response.data) self.assertEqual("success", response_dict["msg_category"], "The long string should convert successfully") self.assertEqual(test_string, response_dict["data"][0], "The long string should be unchanged after conversion to long") input_data["string_input"] = 'Red' response = self.app.test.post('/string_submit', content_type='multipart/form-data', data=input_data) self.assertEqual(200, response.status_code, 'To long of a short valid string has a response') response_dict = json.loads(response.data) self.assertEqual("success", response_dict["msg_category"], "The list should convert successfully") self.assertEqual(test_string, response_dict["data"][0], "The converted short string should be in long form when converted") input_data["string_input"] = 'Blob,Blue,Label/3' response = self.app.test.post('/string_submit', content_type='multipart/form-data', data=input_data) self.assertEqual(200, response.status_code, 'Conversion of an invalid string has a response') response_dict = json.loads(response.data) self.assertEqual("warning", response_dict["msg_category"], "Invalid hed string conversion to long generates a warning") self.assertTrue(response_dict["data"][0], "The data of a to long error should have error messages") def test_string_results_to_short(self): with self.app.app_context(): test_string = 'Property/Sensory-property/Sensory-attribute/Visual-attribute/Color/CSS-color/Red-color/Red' input_data = {base_constants.SCHEMA_VERSION: '8.0.0', base_constants.COMMAND_OPTION: base_constants.COMMAND_TO_SHORT, base_constants.CHECK_FOR_WARNINGS: 'on', base_constants.STRING_INPUT: test_string} response = self.app.test.post('/string_submit', content_type='multipart/form-data', data=input_data) self.assertEqual(200, response.status_code, 'To short of a long string has a response') response_dict = json.loads(response.data) self.assertEqual("success", response_dict["msg_category"], "To short conversion of a long string is success") self.assertEqual("Red", response_dict["data"][0], "The converted long string should be in the short form") input_data["string_input"] = 'Red' response = self.app.test.post('/string_submit', content_type='multipart/form-data', data=input_data) self.assertEqual(200, response.status_code, 'To short of a short valid string has a response') response_dict = json.loads(response.data) self.assertEqual("success", response_dict["msg_category"], "To short conversion of short string is success") self.assertEqual(input_data["string_input"], response_dict["data"][0], "The converted short string should be in short form") input_data["string_input"] = 'Blob,Blue,Label/3' response = self.app.test.post('/string_submit', content_type='multipart/form-data', data=input_data) self.assertEqual(200, response.status_code, 'To short of an invalid string has a response') response_dict = json.loads(response.data) self.assertEqual("warning", response_dict["msg_category"], "To short of invalid string generates a warning") self.assertTrue(response_dict["data"][0], "The data should have error messages") def test_string_results_validate(self): with self.app.app_context(): response = self.app.test.post('/string_submit', content_type='multipart/form-data', data={base_constants.SCHEMA_VERSION: '8.0.0', base_constants.COMMAND_OPTION: base_constants.COMMAND_VALIDATE, base_constants.CHECK_FOR_WARNINGS: 'on', base_constants.STRING_INPUT: 'Red,Blue,Label/3'}) self.assertEqual(200, response.status_code, 'Validation of a valid string has a response') response_dict = json.loads(response.data) self.assertEqual("success", response_dict["msg_category"], "The list should validate successfully") self.assertFalse(response_dict["data"], "No data should be returned if validation successful") response = self.app.test.post('/string_submit', content_type='multipart/form-data', data={base_constants.SCHEMA_VERSION: '8.0.0', base_constants.COMMAND_OPTION: base_constants.COMMAND_VALIDATE, base_constants.CHECK_FOR_WARNINGS: 'on', base_constants.STRING_INPUT: 'Blob,Blue,Label/3'}) self.assertEqual(200, response.status_code, 'Validation of an invalid string has a response') response_dict = json.loads(response.data) self.assertEqual("warning", response_dict["msg_category"], "Invalid hed string validation generates a warning") self.assertTrue(response_dict["data"], "The data should have error messages") if __name__ == '__main__': unittest.main()

67.443396

121

0.629599

832

7,149

5.217548

0.126202

0.074637

0.061276

0.039392

0.824234

0.804884

0.77056

0.753974

0.723336

0

0.009443

0.274164

7,149

105

122

68.085714

0.827134

0

0.483146

0

0.022472

0.303805

0.025554

0

0.314607

1

0.044944

false

0

0.044944

0

0.101124

0

null

0

1

0

null

0

6

13fb3d734759439bf685bc7b87c997607dfda158

98

py

Python

docs/_build/html/workflows-3.py

a3sha2/aslprep-2

eaa5f7cfd91494c10a8fbaaa43326e65d42c8d77

[ "BSD-3-Clause" ]

1

2020-07-03T02:58:58.000Z

docs/_build/html/workflows-3.py

a3sha2/aslprep-2

eaa5f7cfd91494c10a8fbaaa43326e65d42c8d77

[ "BSD-3-Clause" ]

null

docs/_build/html/workflows-3.py

a3sha2/aslprep-2

eaa5f7cfd91494c10a8fbaaa43326e65d42c8d77

[ "BSD-3-Clause" ]

null

from aslprep.niworkflows.anat.ants import init_brain_extraction_wf wf = init_brain_extraction_wf()

49

66

0.877551

15

98

5.333333

0.666667

0.225

0.475

0.525

0

0.061224

98

2

67

49

0.869565

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

cd1f616adeac799144b3b9048e767b5aa0911058

313

py

Python

nttnoperations/__init__.py

nttnhannho/nttnoperations

8ee071adecb72a8e94968b9c10202c6ee51677b4

[ "MIT" ]

null

nttnoperations/__init__.py

nttnhannho/nttnoperations

8ee071adecb72a8e94968b9c10202c6ee51677b4

[ "MIT" ]

null

nttnoperations/__init__.py

nttnhannho/nttnoperations

8ee071adecb72a8e94968b9c10202c6ee51677b4

[ "MIT" ]

null

def add_numbers(num1, num2): return num1 + num2 def subtract_numbers(num1, num2): return num1 - num2 def multiply_numbers(num1, num2): return num1 * num2 def divide_numbers(num1, num2): try: return num1/num2 except ZeroDivisionError: print("Denominator should not be 0!")

18.411765

45

0.674121

41

313

5.04878

0.439024

0.309179

0.289855

0.304348

0.463768

0

0.071429

0.239617

313

17

45

18.411765

0.798319

0

0.089172

0

1

0.363636

false

0

0.272727

0.727273

0.090909

0

null

1

0

null

0

1

0

1

0

6

cd65e89cc3f620462d28145c45133d6f57ff3868

105

py

Python

seamm_dashboard/routes/jobs/__init__.py

paulsaxe/seamm_dashboard

66049c8c58fd34af3bd143157d0138e8fb737f9b

[ "BSD-3-Clause" ]

5

2020-04-17T16:34:13.000Z

2021-12-09T17:24:01.000Z

seamm_dashboard/routes/jobs/__init__.py

paulsaxe/seamm_dashboard

66049c8c58fd34af3bd143157d0138e8fb737f9b

[ "BSD-3-Clause" ]

55

2020-02-26T20:47:52.000Z

2022-03-12T14:22:10.000Z

seamm_dashboard/routes/jobs/__init__.py

paulsaxe/seamm_dashboard

66049c8c58fd34af3bd143157d0138e8fb737f9b

[ "BSD-3-Clause" ]

4

2019-10-15T18:34:14.000Z

2022-01-04T20:50:43.000Z

from flask import Blueprint jobs = Blueprint("jobs", __name__) from . import views # noqa: F401, E402

17.5

39

0.72381

14

105

5.142857

0.714286

0.361111

0

0.069767

0.180952

105

5

40

21

0.767442

0.152381

0

0.045977

0

1

0

false

0

0.666667

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

6

cd6fb40a68d8f10cc4df9201939761d9e1f2504d

74

py

Python

turbopy/interp_marcs/__init__.py

alexji/turbopy

b48360451b0f4a2725117c77a23367283c6326c1

[ "MIT" ]

null

turbopy/interp_marcs/__init__.py

alexji/turbopy

b48360451b0f4a2725117c77a23367283c6326c1

[ "MIT" ]

null

turbopy/interp_marcs/__init__.py

alexji/turbopy

b48360451b0f4a2725117c77a23367283c6326c1

[ "MIT" ]

2

2020-11-11T17:50:07.000Z

2021-11-29T20:25:43.000Z

from .interp_marcs_alpha_v6 import interp_marcs, construct_model_filename

37

73

0.905405

11

74

5.545455

0.818182

0.360656

0

0.014493

0.067568

74

1

74

0.869565

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

26a440624940ff66d896ba6b5e1810ca349b65b4

441

py

Python

modelgym/models/__init__.py

HSE-LAMBDA/modelgym

7f8086c716a014852c1c91c6871bf75da6463ceb

[ "Apache-2.0" ]

18

2017-06-11T01:04:19.000Z

2022-03-09T04:45:19.000Z

modelgym/models/__init__.py

HSE-LaMBDA/modelgym

7f8086c716a014852c1c91c6871bf75da6463ceb

[ "Apache-2.0" ]

37

2017-06-12T22:33:12.000Z

2019-03-07T08:20:43.000Z

modelgym/models/__init__.py

HSE-LaMBDA/modelgym

7f8086c716a014852c1c91c6871bf75da6463ceb

[ "Apache-2.0" ]

20

2017-07-18T17:19:02.000Z

2019-04-09T16:22:53.000Z

from modelgym.models.model import Model from modelgym.models.learning_task import LearningTask from modelgym.models.lightgbm_model import LGBMClassifier, LGBMRegressor from modelgym.models.xgboost_model import XGBClassifier, XGBRegressor from modelgym.models.rf_model import RFClassifier from modelgym.models.catboost_model import CtBClassifier, CtBRegressor from modelgym.models.ensemble_model import EnsembleClassifier, EnsembleRegressor

49

80

0.884354

52

441

7.384615

0.423077

0.21875

0.328125

0

0.07483

441

8

81

55.125

0.941176

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

26c6f2dd92ff29967b0071920fa02cc356c14419

33

py

Python

lib/word_processor_es/__init__.py

Simske/exostriker

587b0af4c9cadb46637a4ac61a5392a596e966b1

[ "MIT" ]

69

2020-01-06T13:31:06.000Z

2022-03-29T11:23:14.000Z

exostriker/lib/word_processor_es/__init__.py

sai-33/Exostriker

f59fa51c6bdce3a2ed51d6621fe42bfcd8c2846f

[ "MIT" ]

67

2019-11-30T14:45:05.000Z

2022-03-14T20:26:06.000Z

exostriker/lib/word_processor_es/__init__.py

sai-33/Exostriker

f59fa51c6bdce3a2ed51d6621fe42bfcd8c2846f

[ "MIT" ]

13

2020-01-06T13:44:40.000Z

2022-03-29T11:23:17.000Z

from .word_processor_es import *

16.5

32

0.818182

5

33

5

1

0

0.121212

33

1

33

0.862069

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f82e1d12e6cf66f3933ec0533dae4e6756aa36be

4,136

py

Python

library/tests/test_matrix.py

pimoroni/plasma

591d31514433c07af5e045ecfb566ffd186a65e9

[ "MIT" ]

9

2019-04-12T00:50:50.000Z

2021-11-11T14:16:02.000Z

library/tests/test_matrix.py

pimoroni/plasma

591d31514433c07af5e045ecfb566ffd186a65e9

[ "MIT" ]

13

2019-12-12T10:49:15.000Z

2022-02-15T17:07:30.000Z

library/tests/test_matrix.py

pimoroni/plasma

591d31514433c07af5e045ecfb566ffd186a65e9

[ "MIT" ]

7

2019-01-24T20:33:46.000Z

2021-05-12T16:22:14.000Z

def test_matrix_setup(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) assert plasma.get_pixel_count() == 100 assert plasma.get_device_count() == 3 def test_matrix_set_pixel(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.set_pixel(0, 255, 0, 0) # First pixel of the WS281X plasma.set_pixel(30, 0, 255, 0) # First pixel of the APA102 plasma.set_pixel(60, 0, 0, 255) # First pixel of the SERIAL assert plasma.get_device("WS281X").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("APA102").get_pixel(0) == (0, 255, 0, 1.0) assert plasma.get_device("SERIAL").get_pixel(0) == (0, 0, 255, 1.0) def test_matrix_set_all(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.set_all(255, 0, 0) assert plasma.get_device("WS281X").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("APA102").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("SERIAL").get_pixel(0) == (255, 0, 0, 1.0) def test_matrix_set_sequence_dict(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.set_sequence({ 0: (255, 0, 0), 2: (0, 255, 0), 4: (0, 0, 255) }) assert plasma.get_device("WS281X").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("WS281X").get_pixel(2) == (0, 255, 0, 1.0) assert plasma.get_device("WS281X").get_pixel(4) == (0, 0, 255, 1.0) def test_matrix_set_sequence_list(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.set_sequence([ (255, 0, 0), (0, 255, 0), (0, 0, 255) ]) assert plasma.get_device("WS281X").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("WS281X").get_pixel(1) == (0, 255, 0, 1.0) assert plasma.get_device("WS281X").get_pixel(2) == (0, 0, 255, 1.0) def test_matrix_get_pixel(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.set_pixel(0, 255, 0, 0) # First pixel of the WS281X plasma.set_pixel(30, 0, 255, 0) # First pixel of the APA102 plasma.set_pixel(60, 0, 0, 255) # First pixel of the SERIAL assert plasma.get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_pixel(30) == (0, 255, 0, 1.0) assert plasma.get_pixel(60) == (0, 0, 255, 1.0) def test_matrix_get_device(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.set_pixel(0, 255, 0, 0) # First pixel of the WS281X plasma.set_pixel(30, 0, 255, 0) # First pixel of the APA102 plasma.set_pixel(60, 0, 0, 255) # First pixel of the SERIAL assert plasma.get_device("WS281X").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("APA102").get_pixel(0) == (0, 255, 0, 1.0) assert plasma.get_device("SERIAL").get_pixel(0) == (0, 0, 255, 1.0) assert plasma.get_device("TABLE").get_pixel(0) == (255, 0, 0, 1.0) assert plasma.get_device("WALL").get_pixel(0) == (0, 255, 0, 1.0) assert plasma.get_device("BACKLIGHT").get_pixel(0) == (0, 0, 255, 1.0) def test_matrix_get_device_defaults(config_file_default_pixels_and_offset, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file_default_pixels_and_offset) plasma.set_pixel(0, 255, 0, 0) # First pixel of the WS281X plasma.set_pixel(30, 0, 255, 0) # First pixel of the APA102 plasma.set_pixel(60, 0, 0, 255) # First pixel of the SERIAL def test_matrix_show(config_file, GPIO, rpi_ws281x, serial): from plasma.matrix import PlasmaMatrix plasma = PlasmaMatrix(config_file) plasma.show() rpi_ws281x.PixelStrip.assert_called_once() rpi_ws281x.PixelStrip().show.assert_called_once() serial.Serial().write.assert_called_once()

40.15534

101

0.679884

663

4,136

4.046757

0.075415

0.056653

0.048453

0.148714

0.89713

0.891912

0.863958

0.848304

0.837123

0.819232

0

0.113771

0.181818

4,136

102

40.54902

0.679078

0.075193

0

0.493506

0

0.028332

0

0.337662

1

0.116883

false

0

0.116883

0

0.233766

0

null

0

1

0

null

0

6

f8418e18593023a1f712aae02a9ff4dd04ba8c60

8,876

py

Python

tests/neptune_fastai/a_test_base.py

neptune-ai/neptune-fastai

b8e0f3c308170861806c7e23423d76685f71f22e

[ "Apache-2.0" ]

3

2021-07-27T21:08:15.000Z

2022-03-25T15:36:45.000Z

tests/neptune_fastai/a_test_base.py

neptune-ai/neptune-fastai

b8e0f3c308170861806c7e23423d76685f71f22e

[ "Apache-2.0" ]

2

2022-01-19T11:05:37.000Z

2022-01-22T11:00:47.000Z

tests/neptune_fastai/a_test_base.py

neptune-ai/neptune-fastai

b8e0f3c308170861806c7e23423d76685f71f22e

[ "Apache-2.0" ]

null

# # Copyright (c) 2021, Neptune Labs Sp. z o.o. # # 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. # from pytest import fail from fastai.basics import accuracy from fastai.tabular.all import tabular_learner from fastai.callback.tracker import SaveModelCallback from neptune_fastai.impl import NeptuneCallback try: # neptune-client=0.9.0 package structure from neptune.new.attributes.atoms.float import Float from neptune.new.attributes.series.float_series import FloatSeries except ImportError: # neptune-client=1.0.0 package structure from neptune.attributes.atoms.float import Float from neptune.attributes.series.float_series import FloatSeries class TestBase: def test_basename(self, run, dataset): neptune_callback = NeptuneCallback(run=run, base_namespace='experiment', upload_saved_models=None) learn = tabular_learner(dataset, metrics=accuracy, cbs=[neptune_callback]) learn.fit_one_cycle(1) run.sync() structure = run.get_structure() assert 'experiment' in structure assert 'config' in structure['experiment'] assert 'io_files' in structure['experiment'] assert 'metrics' in structure['experiment'] assert 'fit_0' in structure['experiment']['metrics'] assert len(structure['experiment']['metrics']) == 1 def test_basename_fit_callback(self, run, dataset): neptune_callback = NeptuneCallback(run=run, base_namespace='experiment', upload_saved_models=None) learn = tabular_learner(dataset, layers=[10, 10], metrics=accuracy) learn.fit_one_cycle(1, cbs=[neptune_callback]) run.sync() structure = run.get_structure() assert 'experiment' in structure assert 'config' in structure['experiment'] assert 'io_files' in structure['experiment'] assert 'metrics' in structure['experiment'] assert 'fit_0' in structure['experiment']['metrics'] assert len(structure['experiment']['metrics']) == 1 def test_multiple_fits(self, run, dataset): neptune_callback = NeptuneCallback(run=run, base_namespace='experiment', upload_saved_models=None) learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10], cbs=[neptune_callback]) learn.fit_one_cycle(1) learn.fit_one_cycle(1) run.sync() structure = run.get_structure() assert 'experiment' in structure assert 'config' in structure['experiment'] assert 'io_files' in structure['experiment'] assert 'metrics' in structure['experiment'] assert 'fit_0' in structure['experiment']['metrics'] assert 'fit_1' in structure['experiment']['metrics'] assert len(structure['experiment']['metrics']) == 2 def test_frozen_fits(self, run, dataset): neptune_callback = NeptuneCallback(run=run, upload_saved_models=None) learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10], cbs=[neptune_callback]) learn.fit_one_cycle(1) learn.opt.freeze_to(1) learn.fit_one_cycle(1) learn.unfreeze() run.sync() structure = run.get_structure() assert 'config' in structure assert 'io_files' in structure assert 'metrics' in structure assert 'fit_0' in structure['metrics'] assert 'fit_1' in structure['metrics'] assert len(structure['metrics']) == 2 assert 'frozen_level' not in structure['metrics']['fit_0'] assert 'frozen_level' in structure['metrics']['fit_1'] def test_optimizer_hyperparams(self, run, dataset): neptune_callback = NeptuneCallback(run=run, upload_saved_models=None) learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10], cbs=[neptune_callback]) learn.fit_one_cycle(1) learn.fit_one_cycle(2) run.sync() structure = run.get_structure() assert 'config' in structure assert 'io_files' in structure assert 'metrics' in structure assert 'fit_0' in structure['metrics'] assert 'fit_1' in structure['metrics'] assert len(structure['metrics']) == 2 assert isinstance(structure['metrics']['fit_0']['optimizer_hyperparameters']['eps'], Float) assert isinstance(structure['metrics']['fit_1']['optimizer_hyperparameters']['eps'], FloatSeries) def test_saving_from_constructor(self, run, dataset): learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10], cbs=[SaveModelCallback(), NeptuneCallback(run=run)]) learn.fit_one_cycle(1) learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10], cbs=[SaveModelCallback(every_epoch=2), NeptuneCallback(run=run)]) learn.fit_one_cycle(2) run.sync() structure = run.get_structure() assert 'config' in structure assert 'io_files' in structure assert 'metrics' in structure assert 'fit_0' in structure['metrics'] assert 'fit_1' in structure['metrics'] assert len(structure['metrics']) == 2 assert 'artifacts' in structure['io_files'] assert 'model_checkpoints' in structure['io_files']['artifacts'] assert 'fit_0' in structure['io_files']['artifacts']['model_checkpoints'] assert 'fit_1' in structure['io_files']['artifacts']['model_checkpoints'] assert len(structure['io_files']['artifacts']['model_checkpoints']) == 2 assert 'model' in structure['io_files']['artifacts']['model_checkpoints']['fit_0'] assert len(structure['io_files']['artifacts']['model_checkpoints']['fit_0']) == 1 assert 'epoch_0' in structure['io_files']['artifacts']['model_checkpoints']['fit_1'] assert len(structure['io_files']['artifacts']['model_checkpoints']['fit_1']) == 1 def test_saving_from_method(self, run, dataset): learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10]) learn.fit_one_cycle(1, cbs=[SaveModelCallback(), NeptuneCallback(run=run)]) learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10]) learn.fit_one_cycle(2, cbs=[SaveModelCallback(every_epoch=2), NeptuneCallback(run=run)]) run.sync() structure = run.get_structure() assert 'config' in structure assert 'io_files' in structure assert 'metrics' in structure assert 'fit_0' in structure['metrics'] assert 'fit_1' in structure['metrics'] assert len(structure['metrics']) == 2 assert 'artifacts' in structure['io_files'] assert 'model_checkpoints' in structure['io_files']['artifacts'] assert 'fit_0' in structure['io_files']['artifacts']['model_checkpoints'] assert 'fit_1' in structure['io_files']['artifacts']['model_checkpoints'] assert len(structure['io_files']['artifacts']['model_checkpoints']) == 2 assert 'model' in structure['io_files']['artifacts']['model_checkpoints']['fit_0'] assert len(structure['io_files']['artifacts']['model_checkpoints']['fit_0']) == 1 assert 'epoch_0' in structure['io_files']['artifacts']['model_checkpoints']['fit_1'] assert len(structure['io_files']['artifacts']['model_checkpoints']['fit_1']) == 1 def test_without_save_model_constr(self, run, dataset): try: learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10], cbs=[NeptuneCallback(run=run), SaveModelCallback()]) learn.fit_one_cycle(1) except AttributeError as exception: fail(exception) def test_without_save_model_method(self, run, dataset): try: learn = tabular_learner(dataset, metrics=accuracy, layers=[10, 10]) learn.fit_one_cycle(1, cbs=[NeptuneCallback(run=run), SaveModelCallback()]) except AttributeError as exception: fail(exception)

39.625

105

0.641055

1,016

8,876

5.42815

0.146654

0.099728

0.052221

0.072529

0.811423

0.765549

0.718042

0.696102

0.677607

0.664733

0

0.016969

0.243128

8,876

223

106

39.802691

0.80396

0.072443

0

0.726667

0

0.164334

0.006086

0

0.433333

1

0.06

false

0

0.066667

0

0.133333

0

null

0

1

0

1

0

1

0

null

0

1

0

6

f84c14079f51a23ff8325361f50173fbcff76283

30

py

Python

puzzle_detection/__init__.py

rrodenburg/tents_n_trees

9af4e5625307b0ff741628028f6a74b61e6cba8b

[ "MIT" ]

null

puzzle_detection/__init__.py

rrodenburg/tents_n_trees

9af4e5625307b0ff741628028f6a74b61e6cba8b

[ "MIT" ]

null

puzzle_detection/__init__.py

rrodenburg/tents_n_trees

9af4e5625307b0ff741628028f6a74b61e6cba8b

[ "MIT" ]

null

from puzzle_detection import *

30

0.866667

4

30

6.25

1

0

0.1

30

1

30

0.925926

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f8c855929b849edf8b00f797ba5947b74bb7a37f

111

py

Python

cherapy/general/Exceptions.py

jajool/CheraPy

1207e48c97918eb530cd2e0b8655cb3479080d03

[ "MIT" ]

null

cherapy/general/Exceptions.py

jajool/CheraPy

1207e48c97918eb530cd2e0b8655cb3479080d03

[ "MIT" ]

null

cherapy/general/Exceptions.py

jajool/CheraPy

1207e48c97918eb530cd2e0b8655cb3479080d03

[ "MIT" ]

null

class ValueNotFoundException(Exception): pass class NotInMassBalanceException(Exception): pass

15.857143

44

0.747748

8

111

10.375

0.625

0.313253

0

0.198198

111

6

45

18.5

0.932584

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

6

6efef1e7f36f30a53f5c2a5ef4b2b38d96c559b3

17

py

Python

tests/utils/test_rwlock.py

mostafa-time/elephas

0649d6ce636eab3a72707814d0ded2b63ab94425

[ "MIT" ]

1,674

2015-08-17T03:54:10.000Z

2022-03-29T12:07:43.000Z

tests/utils/test_rwlock.py

mostafa-time/elephas

0649d6ce636eab3a72707814d0ded2b63ab94425

[ "MIT" ]

183

2015-08-25T11:34:21.000Z

2022-03-22T15:33:59.000Z

tests/utils/test_rwlock.py

mostafa-time/elephas

0649d6ce636eab3a72707814d0ded2b63ab94425

[ "MIT" ]

359

2015-08-21T20:37:48.000Z

2022-03-23T15:41:12.000Z

# TODO test lock

8.5

16

0.705882

3

17

4

1

0

0.235294

17

1

17

0.923077

0.823529

0

null

0

null

0

null

0

1

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

3e0316431c88d2ff2151b1692e55dde016d22edb

38

py

Python

src/apps/api/models/__init__.py

rko619619/Skidon

fe09d0d87edb973c0cb1f20478e398bc69899d1b

[ "Apache-2.0" ]

3

2020-01-16T13:43:40.000Z

2021-11-09T18:04:47.000Z

src/apps/api/models/__init__.py

tgrx/benzak

77055889089776acb3f9b603852db512df808d15

[ "Apache-2.0" ]

7

2020-01-11T13:25:14.000Z

2020-03-09T01:10:40.000Z

src/apps/api/models/__init__.py

rko619619/Skidon

fe09d0d87edb973c0cb1f20478e398bc69899d1b

[ "Apache-2.0" ]

6

2019-10-06T20:36:43.000Z

2022-01-15T22:15:12.000Z

from .api_settings import ApiSettings

19

37

0.868421

5

38

6.4

1

0

0.105263

38

1

38

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

3e55bb4ca12a62c98a017c715524ea56743051e4

136

py

Python

Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.01-list/pg-9.4-list-insert()-method.py

shihab4t/Books-Code

b637b6b2ad42e11faf87d29047311160fe3b2490

[ "Unlicense" ]

null

Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.01-list/pg-9.4-list-insert()-method.py

shihab4t/Books-Code

b637b6b2ad42e11faf87d29047311160fe3b2490

[ "Unlicense" ]

null

Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.01-list/pg-9.4-list-insert()-method.py

shihab4t/Books-Code

b637b6b2ad42e11faf87d29047311160fe3b2490

[ "Unlicense" ]

null

fruits = ["mango", "banana", "orange"] print(fruits) fruits.insert(0, "apple") print(fruits) fruits.insert(2, "coconut") print(fruits)

17

38

0.691176

18

136

5.222222

0.555556

0.351064

0.361702

0.489362

0

0.01626

0.095588

136

7

39

19.428571

0.747967

0

0.5

0

0.213235

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

6

e44cbfa137ddcf974ba6475a8b6e0e7f37757816

1,886

py

Python

day5.py

luth31/aoc-2020

821508d3215bbac4e60d48422df50f1f824ea512

[ "MIT" ]

null

day5.py

luth31/aoc-2020

821508d3215bbac4e60d48422df50f1f824ea512

[ "MIT" ]

null

day5.py

luth31/aoc-2020

821508d3215bbac4e60d48422df50f1f824ea512

[ "MIT" ]

null

import util import math def first(input_path: str): seat_ids = [] with open(input_path) as file: lines = file.read().splitlines() for line in lines: c = 0 row_low = 0 row_high = 127 while c < 7: mid = math.floor((row_low + row_high) / 2) if line[c] == 'F': row_high = mid elif line[c] == 'B': row_low = mid+1 c += 1 col_low = 0 col_high = 7 while c < 10: mid = math.floor((col_low + col_high) / 2) if line[c] == 'L': col_high = mid elif line[c] == 'R': col_low = mid+1 c += 1 seat_ids.append(row_high * 8 + col_high) print(f'Result: {max(seat_ids)}') def second(input_path: str): seat_ids = [] with open(input_path) as file: lines = file.read().splitlines() for line in lines: c = 0 row_low = 0 row_high = 127 while c < 7: mid = math.floor((row_low + row_high) / 2) if line[c] == 'F': row_high = mid elif line[c] == 'B': row_low = mid+1 c += 1 col_low = 0 col_high = 7 while c < 10: mid = math.floor((col_low + col_high) / 2) if line[c] == 'L': col_high = mid elif line[c] == 'R': col_low = mid+1 c += 1 seat_ids.append(row_high * 8 + col_high) for seat in range(0, 127 * 8 + 7): if seat not in seat_ids: if seat+1 in seat_ids and seat-1 in seat_ids: print(f'Result: {seat}') if __name__ == '__main__': path = util.get_input_path(__file__) if util.file_exists(path): first(path) if util.file_exists(path): second(path)

26.942857

57

0.461824

261

1,886

3.122605

0.203065

0.068712

0.058896

0.053988

0.790184

0.706748

0

0.038532

0.422057

1,886

69

58

27.333333

0.709174

0

0.793651

0

0.028102

0

1

0.031746

false

0

0.031746

0

0.063492

0.031746

0

null

0

1

0

1

0

null

0

6

e467692868d4eda283c014bc0be502fbe68d4ba9

113

py

Python

src/cirrus/plugins/uploaders/__init__.py

cloudant/cirrus

2ac29853e877a8672fbbc582c914301a0c9c9ed9

[ "Apache-2.0" ]

1

2018-06-07T21:28:22.000Z

src/cirrus/plugins/uploaders/__init__.py

cloudant/cirrus

2ac29853e877a8672fbbc582c914301a0c9c9ed9

[ "Apache-2.0" ]

6

2018-02-21T20:49:34.000Z

2019-08-15T19:42:49.000Z

src/cirrus/plugins/uploaders/__init__.py

cloudant/cirrus

2ac29853e877a8672fbbc582c914301a0c9c9ed9

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ _uploaders_ Release uploader plugins """ from . import fabric_put from . import pypi

11.3

24

0.725664

15

113

5.266667

0.866667

0.253165

0

0.159292

113

9

25

12.555556

0.831579

0.513274

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

e47cc6bd39aa1d3068d8aec081bc75088812a671

45,613

py

Python

tests/legacy/objects/repository/test_pullrequest.py

timmo001/aiogithubapi

9d33bad77e49f8ee720bcd81c2cbab8a4cf8ebac

[ "MIT" ]

8

2019-07-24T18:14:25.000Z

2022-03-01T18:33:53.000Z

tests/legacy/objects/repository/test_pullrequest.py

timmo001/aiogithubapi

9d33bad77e49f8ee720bcd81c2cbab8a4cf8ebac

[ "MIT" ]

33

2019-12-18T22:15:06.000Z

2022-03-30T06:08:38.000Z

tests/legacy/objects/repository/test_pullrequest.py

timmo001/aiogithubapi

9d33bad77e49f8ee720bcd81c2cbab8a4cf8ebac

[ "MIT" ]

14

2019-09-02T17:50:16.000Z

2022-03-14T10:30:37.000Z

""" Generated by generate/generate.py - 2020-08-02 10:03:59.857088 """ from aiogithubapi.objects.repository.pullrequest import ( AIOGitHubAPIRepositoryPullrequest, ) from tests.legacy.responses.repository.pullrequest_fixtrue import ( pullrequest_fixtrue_response, ) def test_pullrequest(pullrequest_fixtrue_response): obj = AIOGitHubAPIRepositoryPullrequest(pullrequest_fixtrue_response) assert obj.url == pullrequest_fixtrue_response["url"] assert obj.id == pullrequest_fixtrue_response["id"] assert obj.node_id == pullrequest_fixtrue_response["node_id"] assert obj.html_url == pullrequest_fixtrue_response["html_url"] assert obj.diff_url == pullrequest_fixtrue_response["diff_url"] assert obj.patch_url == pullrequest_fixtrue_response["patch_url"] assert obj.issue_url == pullrequest_fixtrue_response["issue_url"] assert obj.commits_url == pullrequest_fixtrue_response["commits_url"] assert obj.review_comments_url == pullrequest_fixtrue_response["review_comments_url"] assert obj.review_comment_url == pullrequest_fixtrue_response["review_comment_url"] assert obj.comments_url == pullrequest_fixtrue_response["comments_url"] assert obj.statuses_url == pullrequest_fixtrue_response["statuses_url"] assert obj.number == pullrequest_fixtrue_response["number"] assert obj.state == pullrequest_fixtrue_response["state"] assert obj.locked == pullrequest_fixtrue_response["locked"] assert obj.title == pullrequest_fixtrue_response["title"] assert obj.user.login == pullrequest_fixtrue_response["user"]["login"] assert obj.user.id == pullrequest_fixtrue_response["user"]["id"] assert obj.user.node_id == pullrequest_fixtrue_response["user"]["node_id"] assert obj.user.avatar_url == pullrequest_fixtrue_response["user"]["avatar_url"] assert obj.user.gravatar_id == pullrequest_fixtrue_response["user"]["gravatar_id"] assert obj.user.url == pullrequest_fixtrue_response["user"]["url"] assert obj.user.html_url == pullrequest_fixtrue_response["user"]["html_url"] assert obj.user.followers_url == pullrequest_fixtrue_response["user"]["followers_url"] assert obj.user.following_url == pullrequest_fixtrue_response["user"]["following_url"] assert obj.user.gists_url == pullrequest_fixtrue_response["user"]["gists_url"] assert obj.user.starred_url == pullrequest_fixtrue_response["user"]["starred_url"] assert obj.user.subscriptions_url == pullrequest_fixtrue_response["user"]["subscriptions_url"] assert obj.user.organizations_url == pullrequest_fixtrue_response["user"]["organizations_url"] assert obj.user.repos_url == pullrequest_fixtrue_response["user"]["repos_url"] assert obj.user.events_url == pullrequest_fixtrue_response["user"]["events_url"] assert ( obj.user.received_events_url == pullrequest_fixtrue_response["user"]["received_events_url"] ) assert obj.user.type == pullrequest_fixtrue_response["user"]["type"] assert obj.user.site_admin == pullrequest_fixtrue_response["user"]["site_admin"] assert obj.body == pullrequest_fixtrue_response["body"] assert obj.labels[0].id == pullrequest_fixtrue_response["labels"][0]["id"] assert obj.labels[0].node_id == pullrequest_fixtrue_response["labels"][0]["node_id"] assert obj.labels[0].url == pullrequest_fixtrue_response["labels"][0]["url"] assert obj.labels[0].name == pullrequest_fixtrue_response["labels"][0]["name"] assert obj.labels[0].description == pullrequest_fixtrue_response["labels"][0]["description"] assert obj.labels[0].color == pullrequest_fixtrue_response["labels"][0]["color"] assert obj.labels[0].default == pullrequest_fixtrue_response["labels"][0]["default"] assert obj.milestone.url == pullrequest_fixtrue_response["milestone"]["url"] assert obj.milestone.html_url == pullrequest_fixtrue_response["milestone"]["html_url"] assert obj.milestone.labels_url == pullrequest_fixtrue_response["milestone"]["labels_url"] assert obj.milestone.id == pullrequest_fixtrue_response["milestone"]["id"] assert obj.milestone.node_id == pullrequest_fixtrue_response["milestone"]["node_id"] assert obj.milestone.number == pullrequest_fixtrue_response["milestone"]["number"] assert obj.milestone.state == pullrequest_fixtrue_response["milestone"]["state"] assert obj.milestone.title == pullrequest_fixtrue_response["milestone"]["title"] assert obj.milestone.description == pullrequest_fixtrue_response["milestone"]["description"] assert ( obj.milestone.creator.login == pullrequest_fixtrue_response["milestone"]["creator"]["login"] ) assert obj.milestone.creator.id == pullrequest_fixtrue_response["milestone"]["creator"]["id"] assert ( obj.milestone.creator.node_id == pullrequest_fixtrue_response["milestone"]["creator"]["node_id"] ) assert ( obj.milestone.creator.avatar_url == pullrequest_fixtrue_response["milestone"]["creator"]["avatar_url"] ) assert ( obj.milestone.creator.gravatar_id == pullrequest_fixtrue_response["milestone"]["creator"]["gravatar_id"] ) assert obj.milestone.creator.url == pullrequest_fixtrue_response["milestone"]["creator"]["url"] assert ( obj.milestone.creator.html_url == pullrequest_fixtrue_response["milestone"]["creator"]["html_url"] ) assert ( obj.milestone.creator.followers_url == pullrequest_fixtrue_response["milestone"]["creator"]["followers_url"] ) assert ( obj.milestone.creator.following_url == pullrequest_fixtrue_response["milestone"]["creator"]["following_url"] ) assert ( obj.milestone.creator.gists_url == pullrequest_fixtrue_response["milestone"]["creator"]["gists_url"] ) assert ( obj.milestone.creator.starred_url == pullrequest_fixtrue_response["milestone"]["creator"]["starred_url"] ) assert ( obj.milestone.creator.subscriptions_url == pullrequest_fixtrue_response["milestone"]["creator"]["subscriptions_url"] ) assert ( obj.milestone.creator.organizations_url == pullrequest_fixtrue_response["milestone"]["creator"]["organizations_url"] ) assert ( obj.milestone.creator.repos_url == pullrequest_fixtrue_response["milestone"]["creator"]["repos_url"] ) assert ( obj.milestone.creator.events_url == pullrequest_fixtrue_response["milestone"]["creator"]["events_url"] ) assert ( obj.milestone.creator.received_events_url == pullrequest_fixtrue_response["milestone"]["creator"]["received_events_url"] ) assert ( obj.milestone.creator.type == pullrequest_fixtrue_response["milestone"]["creator"]["type"] ) assert ( obj.milestone.creator.site_admin == pullrequest_fixtrue_response["milestone"]["creator"]["site_admin"] ) assert obj.milestone.open_issues == pullrequest_fixtrue_response["milestone"]["open_issues"] assert obj.milestone.closed_issues == pullrequest_fixtrue_response["milestone"]["closed_issues"] assert obj.milestone.created_at == pullrequest_fixtrue_response["milestone"]["created_at"] assert obj.milestone.updated_at == pullrequest_fixtrue_response["milestone"]["updated_at"] assert obj.milestone.closed_at == pullrequest_fixtrue_response["milestone"]["closed_at"] assert obj.milestone.due_on == pullrequest_fixtrue_response["milestone"]["due_on"] assert obj.active_lock_reason == pullrequest_fixtrue_response["active_lock_reason"] assert obj.created_at == pullrequest_fixtrue_response["created_at"] assert obj.updated_at == pullrequest_fixtrue_response["updated_at"] assert obj.closed_at == pullrequest_fixtrue_response["closed_at"] assert obj.merged_at == pullrequest_fixtrue_response["merged_at"] assert obj.merge_commit_sha == pullrequest_fixtrue_response["merge_commit_sha"] assert obj.assignee.login == pullrequest_fixtrue_response["assignee"]["login"] assert obj.assignee.id == pullrequest_fixtrue_response["assignee"]["id"] assert obj.assignee.node_id == pullrequest_fixtrue_response["assignee"]["node_id"] assert obj.assignee.avatar_url == pullrequest_fixtrue_response["assignee"]["avatar_url"] assert obj.assignee.gravatar_id == pullrequest_fixtrue_response["assignee"]["gravatar_id"] assert obj.assignee.url == pullrequest_fixtrue_response["assignee"]["url"] assert obj.assignee.html_url == pullrequest_fixtrue_response["assignee"]["html_url"] assert obj.assignee.followers_url == pullrequest_fixtrue_response["assignee"]["followers_url"] assert obj.assignee.following_url == pullrequest_fixtrue_response["assignee"]["following_url"] assert obj.assignee.gists_url == pullrequest_fixtrue_response["assignee"]["gists_url"] assert obj.assignee.starred_url == pullrequest_fixtrue_response["assignee"]["starred_url"] assert ( obj.assignee.subscriptions_url == pullrequest_fixtrue_response["assignee"]["subscriptions_url"] ) assert ( obj.assignee.organizations_url == pullrequest_fixtrue_response["assignee"]["organizations_url"] ) assert obj.assignee.repos_url == pullrequest_fixtrue_response["assignee"]["repos_url"] assert obj.assignee.events_url == pullrequest_fixtrue_response["assignee"]["events_url"] assert ( obj.assignee.received_events_url == pullrequest_fixtrue_response["assignee"]["received_events_url"] ) assert obj.assignee.type == pullrequest_fixtrue_response["assignee"]["type"] assert obj.assignee.site_admin == pullrequest_fixtrue_response["assignee"]["site_admin"] assert obj.assignees[0].login == pullrequest_fixtrue_response["assignees"][0]["login"] assert obj.assignees[0].id == pullrequest_fixtrue_response["assignees"][0]["id"] assert obj.assignees[0].node_id == pullrequest_fixtrue_response["assignees"][0]["node_id"] assert obj.assignees[0].avatar_url == pullrequest_fixtrue_response["assignees"][0]["avatar_url"] assert ( obj.assignees[0].gravatar_id == pullrequest_fixtrue_response["assignees"][0]["gravatar_id"] ) assert obj.assignees[0].url == pullrequest_fixtrue_response["assignees"][0]["url"] assert obj.assignees[0].html_url == pullrequest_fixtrue_response["assignees"][0]["html_url"] assert ( obj.assignees[0].followers_url == pullrequest_fixtrue_response["assignees"][0]["followers_url"] ) assert ( obj.assignees[0].following_url == pullrequest_fixtrue_response["assignees"][0]["following_url"] ) assert obj.assignees[0].gists_url == pullrequest_fixtrue_response["assignees"][0]["gists_url"] assert ( obj.assignees[0].starred_url == pullrequest_fixtrue_response["assignees"][0]["starred_url"] ) assert ( obj.assignees[0].subscriptions_url == pullrequest_fixtrue_response["assignees"][0]["subscriptions_url"] ) assert ( obj.assignees[0].organizations_url == pullrequest_fixtrue_response["assignees"][0]["organizations_url"] ) assert obj.assignees[0].repos_url == pullrequest_fixtrue_response["assignees"][0]["repos_url"] assert obj.assignees[0].events_url == pullrequest_fixtrue_response["assignees"][0]["events_url"] assert ( obj.assignees[0].received_events_url == pullrequest_fixtrue_response["assignees"][0]["received_events_url"] ) assert obj.assignees[0].type == pullrequest_fixtrue_response["assignees"][0]["type"] assert obj.assignees[0].site_admin == pullrequest_fixtrue_response["assignees"][0]["site_admin"] assert ( obj.requested_reviewers[0].login == pullrequest_fixtrue_response["requested_reviewers"][0]["login"] ) assert ( obj.requested_reviewers[0].id == pullrequest_fixtrue_response["requested_reviewers"][0]["id"] ) assert ( obj.requested_reviewers[0].node_id == pullrequest_fixtrue_response["requested_reviewers"][0]["node_id"] ) assert ( obj.requested_reviewers[0].avatar_url == pullrequest_fixtrue_response["requested_reviewers"][0]["avatar_url"] ) assert ( obj.requested_reviewers[0].gravatar_id == pullrequest_fixtrue_response["requested_reviewers"][0]["gravatar_id"] ) assert ( obj.requested_reviewers[0].url == pullrequest_fixtrue_response["requested_reviewers"][0]["url"] ) assert ( obj.requested_reviewers[0].html_url == pullrequest_fixtrue_response["requested_reviewers"][0]["html_url"] ) assert ( obj.requested_reviewers[0].followers_url == pullrequest_fixtrue_response["requested_reviewers"][0]["followers_url"] ) assert ( obj.requested_reviewers[0].following_url == pullrequest_fixtrue_response["requested_reviewers"][0]["following_url"] ) assert ( obj.requested_reviewers[0].gists_url == pullrequest_fixtrue_response["requested_reviewers"][0]["gists_url"] ) assert ( obj.requested_reviewers[0].starred_url == pullrequest_fixtrue_response["requested_reviewers"][0]["starred_url"] ) assert ( obj.requested_reviewers[0].subscriptions_url == pullrequest_fixtrue_response["requested_reviewers"][0]["subscriptions_url"] ) assert ( obj.requested_reviewers[0].organizations_url == pullrequest_fixtrue_response["requested_reviewers"][0]["organizations_url"] ) assert ( obj.requested_reviewers[0].repos_url == pullrequest_fixtrue_response["requested_reviewers"][0]["repos_url"] ) assert ( obj.requested_reviewers[0].events_url == pullrequest_fixtrue_response["requested_reviewers"][0]["events_url"] ) assert ( obj.requested_reviewers[0].received_events_url == pullrequest_fixtrue_response["requested_reviewers"][0]["received_events_url"] ) assert ( obj.requested_reviewers[0].type == pullrequest_fixtrue_response["requested_reviewers"][0]["type"] ) assert ( obj.requested_reviewers[0].site_admin == pullrequest_fixtrue_response["requested_reviewers"][0]["site_admin"] ) assert obj.requested_teams[0].id == pullrequest_fixtrue_response["requested_teams"][0]["id"] assert ( obj.requested_teams[0].node_id == pullrequest_fixtrue_response["requested_teams"][0]["node_id"] ) assert obj.requested_teams[0].url == pullrequest_fixtrue_response["requested_teams"][0]["url"] assert ( obj.requested_teams[0].html_url == pullrequest_fixtrue_response["requested_teams"][0]["html_url"] ) assert obj.requested_teams[0].name == pullrequest_fixtrue_response["requested_teams"][0]["name"] assert obj.requested_teams[0].slug == pullrequest_fixtrue_response["requested_teams"][0]["slug"] assert ( obj.requested_teams[0].description == pullrequest_fixtrue_response["requested_teams"][0]["description"] ) assert ( obj.requested_teams[0].privacy == pullrequest_fixtrue_response["requested_teams"][0]["privacy"] ) assert ( obj.requested_teams[0].permission == pullrequest_fixtrue_response["requested_teams"][0]["permission"] ) assert ( obj.requested_teams[0].members_url == pullrequest_fixtrue_response["requested_teams"][0]["members_url"] ) assert ( obj.requested_teams[0].repositories_url == pullrequest_fixtrue_response["requested_teams"][0]["repositories_url"] ) assert ( obj.requested_teams[0].parent == pullrequest_fixtrue_response["requested_teams"][0]["parent"] ) assert obj.head.label == pullrequest_fixtrue_response["head"]["label"] assert obj.head.ref == pullrequest_fixtrue_response["head"]["ref"] assert obj.head.sha == pullrequest_fixtrue_response["head"]["sha"] assert obj.head.user.login == pullrequest_fixtrue_response["head"]["user"]["login"] assert obj.head.user.id == pullrequest_fixtrue_response["head"]["user"]["id"] assert obj.head.user.node_id == pullrequest_fixtrue_response["head"]["user"]["node_id"] assert obj.head.user.avatar_url == pullrequest_fixtrue_response["head"]["user"]["avatar_url"] assert obj.head.user.gravatar_id == pullrequest_fixtrue_response["head"]["user"]["gravatar_id"] assert obj.head.user.url == pullrequest_fixtrue_response["head"]["user"]["url"] assert obj.head.user.html_url == pullrequest_fixtrue_response["head"]["user"]["html_url"] assert ( obj.head.user.followers_url == pullrequest_fixtrue_response["head"]["user"]["followers_url"] ) assert ( obj.head.user.following_url == pullrequest_fixtrue_response["head"]["user"]["following_url"] ) assert obj.head.user.gists_url == pullrequest_fixtrue_response["head"]["user"]["gists_url"] assert obj.head.user.starred_url == pullrequest_fixtrue_response["head"]["user"]["starred_url"] assert ( obj.head.user.subscriptions_url == pullrequest_fixtrue_response["head"]["user"]["subscriptions_url"] ) assert ( obj.head.user.organizations_url == pullrequest_fixtrue_response["head"]["user"]["organizations_url"] ) assert obj.head.user.repos_url == pullrequest_fixtrue_response["head"]["user"]["repos_url"] assert obj.head.user.events_url == pullrequest_fixtrue_response["head"]["user"]["events_url"] assert ( obj.head.user.received_events_url == pullrequest_fixtrue_response["head"]["user"]["received_events_url"] ) assert obj.head.user.type == pullrequest_fixtrue_response["head"]["user"]["type"] assert obj.head.user.site_admin == pullrequest_fixtrue_response["head"]["user"]["site_admin"] assert obj.head.repo.id == pullrequest_fixtrue_response["head"]["repo"]["id"] assert obj.head.repo.node_id == pullrequest_fixtrue_response["head"]["repo"]["node_id"] assert obj.head.repo.name == pullrequest_fixtrue_response["head"]["repo"]["name"] assert obj.head.repo.full_name == pullrequest_fixtrue_response["head"]["repo"]["full_name"] assert ( obj.head.repo.owner.login == pullrequest_fixtrue_response["head"]["repo"]["owner"]["login"] ) assert obj.head.repo.owner.id == pullrequest_fixtrue_response["head"]["repo"]["owner"]["id"] assert ( obj.head.repo.owner.node_id == pullrequest_fixtrue_response["head"]["repo"]["owner"]["node_id"] ) assert ( obj.head.repo.owner.avatar_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["avatar_url"] ) assert ( obj.head.repo.owner.gravatar_id == pullrequest_fixtrue_response["head"]["repo"]["owner"]["gravatar_id"] ) assert obj.head.repo.owner.url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["url"] assert ( obj.head.repo.owner.html_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["html_url"] ) assert ( obj.head.repo.owner.followers_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["followers_url"] ) assert ( obj.head.repo.owner.following_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["following_url"] ) assert ( obj.head.repo.owner.gists_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["gists_url"] ) assert ( obj.head.repo.owner.starred_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["starred_url"] ) assert ( obj.head.repo.owner.subscriptions_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["subscriptions_url"] ) assert ( obj.head.repo.owner.organizations_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["organizations_url"] ) assert ( obj.head.repo.owner.repos_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["repos_url"] ) assert ( obj.head.repo.owner.events_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["events_url"] ) assert ( obj.head.repo.owner.received_events_url == pullrequest_fixtrue_response["head"]["repo"]["owner"]["received_events_url"] ) assert obj.head.repo.owner.type == pullrequest_fixtrue_response["head"]["repo"]["owner"]["type"] assert ( obj.head.repo.owner.site_admin == pullrequest_fixtrue_response["head"]["repo"]["owner"]["site_admin"] ) assert obj.head.repo.private == pullrequest_fixtrue_response["head"]["repo"]["private"] assert obj.head.repo.html_url == pullrequest_fixtrue_response["head"]["repo"]["html_url"] assert obj.head.repo.description == pullrequest_fixtrue_response["head"]["repo"]["description"] assert obj.head.repo.fork == pullrequest_fixtrue_response["head"]["repo"]["fork"] assert obj.head.repo.url == pullrequest_fixtrue_response["head"]["repo"]["url"] assert obj.head.repo.archive_url == pullrequest_fixtrue_response["head"]["repo"]["archive_url"] assert ( obj.head.repo.assignees_url == pullrequest_fixtrue_response["head"]["repo"]["assignees_url"] ) assert obj.head.repo.blobs_url == pullrequest_fixtrue_response["head"]["repo"]["blobs_url"] assert ( obj.head.repo.branches_url == pullrequest_fixtrue_response["head"]["repo"]["branches_url"] ) assert ( obj.head.repo.collaborators_url == pullrequest_fixtrue_response["head"]["repo"]["collaborators_url"] ) assert ( obj.head.repo.comments_url == pullrequest_fixtrue_response["head"]["repo"]["comments_url"] ) assert obj.head.repo.commits_url == pullrequest_fixtrue_response["head"]["repo"]["commits_url"] assert obj.head.repo.compare_url == pullrequest_fixtrue_response["head"]["repo"]["compare_url"] assert ( obj.head.repo.contents_url == pullrequest_fixtrue_response["head"]["repo"]["contents_url"] ) assert ( obj.head.repo.contributors_url == pullrequest_fixtrue_response["head"]["repo"]["contributors_url"] ) assert ( obj.head.repo.deployments_url == pullrequest_fixtrue_response["head"]["repo"]["deployments_url"] ) assert ( obj.head.repo.downloads_url == pullrequest_fixtrue_response["head"]["repo"]["downloads_url"] ) assert obj.head.repo.events_url == pullrequest_fixtrue_response["head"]["repo"]["events_url"] assert obj.head.repo.forks_url == pullrequest_fixtrue_response["head"]["repo"]["forks_url"] assert ( obj.head.repo.git_commits_url == pullrequest_fixtrue_response["head"]["repo"]["git_commits_url"] ) assert ( obj.head.repo.git_refs_url == pullrequest_fixtrue_response["head"]["repo"]["git_refs_url"] ) assert ( obj.head.repo.git_tags_url == pullrequest_fixtrue_response["head"]["repo"]["git_tags_url"] ) assert obj.head.repo.git_url == pullrequest_fixtrue_response["head"]["repo"]["git_url"] assert ( obj.head.repo.issue_comment_url == pullrequest_fixtrue_response["head"]["repo"]["issue_comment_url"] ) assert ( obj.head.repo.issue_events_url == pullrequest_fixtrue_response["head"]["repo"]["issue_events_url"] ) assert obj.head.repo.issues_url == pullrequest_fixtrue_response["head"]["repo"]["issues_url"] assert obj.head.repo.keys_url == pullrequest_fixtrue_response["head"]["repo"]["keys_url"] assert obj.head.repo.labels_url == pullrequest_fixtrue_response["head"]["repo"]["labels_url"] assert ( obj.head.repo.languages_url == pullrequest_fixtrue_response["head"]["repo"]["languages_url"] ) assert obj.head.repo.merges_url == pullrequest_fixtrue_response["head"]["repo"]["merges_url"] assert ( obj.head.repo.milestones_url == pullrequest_fixtrue_response["head"]["repo"]["milestones_url"] ) assert ( obj.head.repo.notifications_url == pullrequest_fixtrue_response["head"]["repo"]["notifications_url"] ) assert obj.head.repo.pulls_url == pullrequest_fixtrue_response["head"]["repo"]["pulls_url"] assert ( obj.head.repo.releases_url == pullrequest_fixtrue_response["head"]["repo"]["releases_url"] ) assert obj.head.repo.ssh_url == pullrequest_fixtrue_response["head"]["repo"]["ssh_url"] assert ( obj.head.repo.stargazers_url == pullrequest_fixtrue_response["head"]["repo"]["stargazers_url"] ) assert ( obj.head.repo.statuses_url == pullrequest_fixtrue_response["head"]["repo"]["statuses_url"] ) assert ( obj.head.repo.subscribers_url == pullrequest_fixtrue_response["head"]["repo"]["subscribers_url"] ) assert ( obj.head.repo.subscription_url == pullrequest_fixtrue_response["head"]["repo"]["subscription_url"] ) assert obj.head.repo.tags_url == pullrequest_fixtrue_response["head"]["repo"]["tags_url"] assert obj.head.repo.teams_url == pullrequest_fixtrue_response["head"]["repo"]["teams_url"] assert obj.head.repo.trees_url == pullrequest_fixtrue_response["head"]["repo"]["trees_url"] assert obj.head.repo.clone_url == pullrequest_fixtrue_response["head"]["repo"]["clone_url"] assert obj.head.repo.mirror_url == pullrequest_fixtrue_response["head"]["repo"]["mirror_url"] assert obj.head.repo.hooks_url == pullrequest_fixtrue_response["head"]["repo"]["hooks_url"] assert obj.head.repo.svn_url == pullrequest_fixtrue_response["head"]["repo"]["svn_url"] assert obj.head.repo.homepage == pullrequest_fixtrue_response["head"]["repo"]["homepage"] assert obj.head.repo.language == pullrequest_fixtrue_response["head"]["repo"]["language"] assert obj.head.repo.forks_count == pullrequest_fixtrue_response["head"]["repo"]["forks_count"] assert ( obj.head.repo.stargazers_count == pullrequest_fixtrue_response["head"]["repo"]["stargazers_count"] ) assert ( obj.head.repo.watchers_count == pullrequest_fixtrue_response["head"]["repo"]["watchers_count"] ) assert obj.head.repo.size == pullrequest_fixtrue_response["head"]["repo"]["size"] assert ( obj.head.repo.default_branch == pullrequest_fixtrue_response["head"]["repo"]["default_branch"] ) assert ( obj.head.repo.open_issues_count == pullrequest_fixtrue_response["head"]["repo"]["open_issues_count"] ) assert obj.head.repo.is_template == pullrequest_fixtrue_response["head"]["repo"]["is_template"] assert obj.head.repo.topics[0] == pullrequest_fixtrue_response["head"]["repo"]["topics"][0] assert obj.head.repo.has_issues == pullrequest_fixtrue_response["head"]["repo"]["has_issues"] assert ( obj.head.repo.has_projects == pullrequest_fixtrue_response["head"]["repo"]["has_projects"] ) assert obj.head.repo.has_wiki == pullrequest_fixtrue_response["head"]["repo"]["has_wiki"] assert obj.head.repo.has_pages == pullrequest_fixtrue_response["head"]["repo"]["has_pages"] assert ( obj.head.repo.has_downloads == pullrequest_fixtrue_response["head"]["repo"]["has_downloads"] ) assert obj.head.repo.archived == pullrequest_fixtrue_response["head"]["repo"]["archived"] assert obj.head.repo.disabled == pullrequest_fixtrue_response["head"]["repo"]["disabled"] assert obj.head.repo.visibility == pullrequest_fixtrue_response["head"]["repo"]["visibility"] assert obj.head.repo.pushed_at == pullrequest_fixtrue_response["head"]["repo"]["pushed_at"] assert obj.head.repo.created_at == pullrequest_fixtrue_response["head"]["repo"]["created_at"] assert obj.head.repo.updated_at == pullrequest_fixtrue_response["head"]["repo"]["updated_at"] assert ( obj.head.repo.permissions.admin == pullrequest_fixtrue_response["head"]["repo"]["permissions"]["admin"] ) assert ( obj.head.repo.permissions.push == pullrequest_fixtrue_response["head"]["repo"]["permissions"]["push"] ) assert ( obj.head.repo.permissions.pull == pullrequest_fixtrue_response["head"]["repo"]["permissions"]["pull"] ) assert ( obj.head.repo.allow_rebase_merge == pullrequest_fixtrue_response["head"]["repo"]["allow_rebase_merge"] ) assert ( obj.head.repo.template_repository == pullrequest_fixtrue_response["head"]["repo"]["template_repository"] ) assert ( obj.head.repo.temp_clone_token == pullrequest_fixtrue_response["head"]["repo"]["temp_clone_token"] ) assert ( obj.head.repo.allow_squash_merge == pullrequest_fixtrue_response["head"]["repo"]["allow_squash_merge"] ) assert ( obj.head.repo.delete_branch_on_merge == pullrequest_fixtrue_response["head"]["repo"]["delete_branch_on_merge"] ) assert ( obj.head.repo.allow_merge_commit == pullrequest_fixtrue_response["head"]["repo"]["allow_merge_commit"] ) assert ( obj.head.repo.subscribers_count == pullrequest_fixtrue_response["head"]["repo"]["subscribers_count"] ) assert ( obj.head.repo.network_count == pullrequest_fixtrue_response["head"]["repo"]["network_count"] ) assert obj.base.label == pullrequest_fixtrue_response["base"]["label"] assert obj.base.ref == pullrequest_fixtrue_response["base"]["ref"] assert obj.base.sha == pullrequest_fixtrue_response["base"]["sha"] assert obj.base.user.login == pullrequest_fixtrue_response["base"]["user"]["login"] assert obj.base.user.id == pullrequest_fixtrue_response["base"]["user"]["id"] assert obj.base.user.node_id == pullrequest_fixtrue_response["base"]["user"]["node_id"] assert obj.base.user.avatar_url == pullrequest_fixtrue_response["base"]["user"]["avatar_url"] assert obj.base.user.gravatar_id == pullrequest_fixtrue_response["base"]["user"]["gravatar_id"] assert obj.base.user.url == pullrequest_fixtrue_response["base"]["user"]["url"] assert obj.base.user.html_url == pullrequest_fixtrue_response["base"]["user"]["html_url"] assert ( obj.base.user.followers_url == pullrequest_fixtrue_response["base"]["user"]["followers_url"] ) assert ( obj.base.user.following_url == pullrequest_fixtrue_response["base"]["user"]["following_url"] ) assert obj.base.user.gists_url == pullrequest_fixtrue_response["base"]["user"]["gists_url"] assert obj.base.user.starred_url == pullrequest_fixtrue_response["base"]["user"]["starred_url"] assert ( obj.base.user.subscriptions_url == pullrequest_fixtrue_response["base"]["user"]["subscriptions_url"] ) assert ( obj.base.user.organizations_url == pullrequest_fixtrue_response["base"]["user"]["organizations_url"] ) assert obj.base.user.repos_url == pullrequest_fixtrue_response["base"]["user"]["repos_url"] assert obj.base.user.events_url == pullrequest_fixtrue_response["base"]["user"]["events_url"] assert ( obj.base.user.received_events_url == pullrequest_fixtrue_response["base"]["user"]["received_events_url"] ) assert obj.base.user.type == pullrequest_fixtrue_response["base"]["user"]["type"] assert obj.base.user.site_admin == pullrequest_fixtrue_response["base"]["user"]["site_admin"] assert obj.base.repo.id == pullrequest_fixtrue_response["base"]["repo"]["id"] assert obj.base.repo.node_id == pullrequest_fixtrue_response["base"]["repo"]["node_id"] assert obj.base.repo.name == pullrequest_fixtrue_response["base"]["repo"]["name"] assert obj.base.repo.full_name == pullrequest_fixtrue_response["base"]["repo"]["full_name"] assert ( obj.base.repo.owner.login == pullrequest_fixtrue_response["base"]["repo"]["owner"]["login"] ) assert obj.base.repo.owner.id == pullrequest_fixtrue_response["base"]["repo"]["owner"]["id"] assert ( obj.base.repo.owner.node_id == pullrequest_fixtrue_response["base"]["repo"]["owner"]["node_id"] ) assert ( obj.base.repo.owner.avatar_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["avatar_url"] ) assert ( obj.base.repo.owner.gravatar_id == pullrequest_fixtrue_response["base"]["repo"]["owner"]["gravatar_id"] ) assert obj.base.repo.owner.url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["url"] assert ( obj.base.repo.owner.html_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["html_url"] ) assert ( obj.base.repo.owner.followers_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["followers_url"] ) assert ( obj.base.repo.owner.following_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["following_url"] ) assert ( obj.base.repo.owner.gists_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["gists_url"] ) assert ( obj.base.repo.owner.starred_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["starred_url"] ) assert ( obj.base.repo.owner.subscriptions_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["subscriptions_url"] ) assert ( obj.base.repo.owner.organizations_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["organizations_url"] ) assert ( obj.base.repo.owner.repos_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["repos_url"] ) assert ( obj.base.repo.owner.events_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["events_url"] ) assert ( obj.base.repo.owner.received_events_url == pullrequest_fixtrue_response["base"]["repo"]["owner"]["received_events_url"] ) assert obj.base.repo.owner.type == pullrequest_fixtrue_response["base"]["repo"]["owner"]["type"] assert ( obj.base.repo.owner.site_admin == pullrequest_fixtrue_response["base"]["repo"]["owner"]["site_admin"] ) assert obj.base.repo.private == pullrequest_fixtrue_response["base"]["repo"]["private"] assert obj.base.repo.html_url == pullrequest_fixtrue_response["base"]["repo"]["html_url"] assert obj.base.repo.description == pullrequest_fixtrue_response["base"]["repo"]["description"] assert obj.base.repo.fork == pullrequest_fixtrue_response["base"]["repo"]["fork"] assert obj.base.repo.url == pullrequest_fixtrue_response["base"]["repo"]["url"] assert obj.base.repo.archive_url == pullrequest_fixtrue_response["base"]["repo"]["archive_url"] assert ( obj.base.repo.assignees_url == pullrequest_fixtrue_response["base"]["repo"]["assignees_url"] ) assert obj.base.repo.blobs_url == pullrequest_fixtrue_response["base"]["repo"]["blobs_url"] assert ( obj.base.repo.branches_url == pullrequest_fixtrue_response["base"]["repo"]["branches_url"] ) assert ( obj.base.repo.collaborators_url == pullrequest_fixtrue_response["base"]["repo"]["collaborators_url"] ) assert ( obj.base.repo.comments_url == pullrequest_fixtrue_response["base"]["repo"]["comments_url"] ) assert obj.base.repo.commits_url == pullrequest_fixtrue_response["base"]["repo"]["commits_url"] assert obj.base.repo.compare_url == pullrequest_fixtrue_response["base"]["repo"]["compare_url"] assert ( obj.base.repo.contents_url == pullrequest_fixtrue_response["base"]["repo"]["contents_url"] ) assert ( obj.base.repo.contributors_url == pullrequest_fixtrue_response["base"]["repo"]["contributors_url"] ) assert ( obj.base.repo.deployments_url == pullrequest_fixtrue_response["base"]["repo"]["deployments_url"] ) assert ( obj.base.repo.downloads_url == pullrequest_fixtrue_response["base"]["repo"]["downloads_url"] ) assert obj.base.repo.events_url == pullrequest_fixtrue_response["base"]["repo"]["events_url"] assert obj.base.repo.forks_url == pullrequest_fixtrue_response["base"]["repo"]["forks_url"] assert ( obj.base.repo.git_commits_url == pullrequest_fixtrue_response["base"]["repo"]["git_commits_url"] ) assert ( obj.base.repo.git_refs_url == pullrequest_fixtrue_response["base"]["repo"]["git_refs_url"] ) assert ( obj.base.repo.git_tags_url == pullrequest_fixtrue_response["base"]["repo"]["git_tags_url"] ) assert obj.base.repo.git_url == pullrequest_fixtrue_response["base"]["repo"]["git_url"] assert ( obj.base.repo.issue_comment_url == pullrequest_fixtrue_response["base"]["repo"]["issue_comment_url"] ) assert ( obj.base.repo.issue_events_url == pullrequest_fixtrue_response["base"]["repo"]["issue_events_url"] ) assert obj.base.repo.issues_url == pullrequest_fixtrue_response["base"]["repo"]["issues_url"] assert obj.base.repo.keys_url == pullrequest_fixtrue_response["base"]["repo"]["keys_url"] assert obj.base.repo.labels_url == pullrequest_fixtrue_response["base"]["repo"]["labels_url"] assert ( obj.base.repo.languages_url == pullrequest_fixtrue_response["base"]["repo"]["languages_url"] ) assert obj.base.repo.merges_url == pullrequest_fixtrue_response["base"]["repo"]["merges_url"] assert ( obj.base.repo.milestones_url == pullrequest_fixtrue_response["base"]["repo"]["milestones_url"] ) assert ( obj.base.repo.notifications_url == pullrequest_fixtrue_response["base"]["repo"]["notifications_url"] ) assert obj.base.repo.pulls_url == pullrequest_fixtrue_response["base"]["repo"]["pulls_url"] assert ( obj.base.repo.releases_url == pullrequest_fixtrue_response["base"]["repo"]["releases_url"] ) assert obj.base.repo.ssh_url == pullrequest_fixtrue_response["base"]["repo"]["ssh_url"] assert ( obj.base.repo.stargazers_url == pullrequest_fixtrue_response["base"]["repo"]["stargazers_url"] ) assert ( obj.base.repo.statuses_url == pullrequest_fixtrue_response["base"]["repo"]["statuses_url"] ) assert ( obj.base.repo.subscribers_url == pullrequest_fixtrue_response["base"]["repo"]["subscribers_url"] ) assert ( obj.base.repo.subscription_url == pullrequest_fixtrue_response["base"]["repo"]["subscription_url"] ) assert obj.base.repo.tags_url == pullrequest_fixtrue_response["base"]["repo"]["tags_url"] assert obj.base.repo.teams_url == pullrequest_fixtrue_response["base"]["repo"]["teams_url"] assert obj.base.repo.trees_url == pullrequest_fixtrue_response["base"]["repo"]["trees_url"] assert obj.base.repo.clone_url == pullrequest_fixtrue_response["base"]["repo"]["clone_url"] assert obj.base.repo.mirror_url == pullrequest_fixtrue_response["base"]["repo"]["mirror_url"] assert obj.base.repo.hooks_url == pullrequest_fixtrue_response["base"]["repo"]["hooks_url"] assert obj.base.repo.svn_url == pullrequest_fixtrue_response["base"]["repo"]["svn_url"] assert obj.base.repo.homepage == pullrequest_fixtrue_response["base"]["repo"]["homepage"] assert obj.base.repo.language == pullrequest_fixtrue_response["base"]["repo"]["language"] assert obj.base.repo.forks_count == pullrequest_fixtrue_response["base"]["repo"]["forks_count"] assert ( obj.base.repo.stargazers_count == pullrequest_fixtrue_response["base"]["repo"]["stargazers_count"] ) assert ( obj.base.repo.watchers_count == pullrequest_fixtrue_response["base"]["repo"]["watchers_count"] ) assert obj.base.repo.size == pullrequest_fixtrue_response["base"]["repo"]["size"] assert ( obj.base.repo.default_branch == pullrequest_fixtrue_response["base"]["repo"]["default_branch"] ) assert ( obj.base.repo.open_issues_count == pullrequest_fixtrue_response["base"]["repo"]["open_issues_count"] ) assert obj.base.repo.is_template == pullrequest_fixtrue_response["base"]["repo"]["is_template"] assert obj.base.repo.topics[0] == pullrequest_fixtrue_response["base"]["repo"]["topics"][0] assert obj.base.repo.has_issues == pullrequest_fixtrue_response["base"]["repo"]["has_issues"] assert ( obj.base.repo.has_projects == pullrequest_fixtrue_response["base"]["repo"]["has_projects"] ) assert obj.base.repo.has_wiki == pullrequest_fixtrue_response["base"]["repo"]["has_wiki"] assert obj.base.repo.has_pages == pullrequest_fixtrue_response["base"]["repo"]["has_pages"] assert ( obj.base.repo.has_downloads == pullrequest_fixtrue_response["base"]["repo"]["has_downloads"] ) assert obj.base.repo.archived == pullrequest_fixtrue_response["base"]["repo"]["archived"] assert obj.base.repo.disabled == pullrequest_fixtrue_response["base"]["repo"]["disabled"] assert obj.base.repo.visibility == pullrequest_fixtrue_response["base"]["repo"]["visibility"] assert obj.base.repo.pushed_at == pullrequest_fixtrue_response["base"]["repo"]["pushed_at"] assert obj.base.repo.created_at == pullrequest_fixtrue_response["base"]["repo"]["created_at"] assert obj.base.repo.updated_at == pullrequest_fixtrue_response["base"]["repo"]["updated_at"] assert ( obj.base.repo.permissions.admin == pullrequest_fixtrue_response["base"]["repo"]["permissions"]["admin"] ) assert ( obj.base.repo.permissions.push == pullrequest_fixtrue_response["base"]["repo"]["permissions"]["push"] ) assert ( obj.base.repo.permissions.pull == pullrequest_fixtrue_response["base"]["repo"]["permissions"]["pull"] ) assert ( obj.base.repo.allow_rebase_merge == pullrequest_fixtrue_response["base"]["repo"]["allow_rebase_merge"] ) assert ( obj.base.repo.template_repository == pullrequest_fixtrue_response["base"]["repo"]["template_repository"] ) assert ( obj.base.repo.temp_clone_token == pullrequest_fixtrue_response["base"]["repo"]["temp_clone_token"] ) assert ( obj.base.repo.allow_squash_merge == pullrequest_fixtrue_response["base"]["repo"]["allow_squash_merge"] ) assert ( obj.base.repo.delete_branch_on_merge == pullrequest_fixtrue_response["base"]["repo"]["delete_branch_on_merge"] ) assert ( obj.base.repo.allow_merge_commit == pullrequest_fixtrue_response["base"]["repo"]["allow_merge_commit"] ) assert ( obj.base.repo.subscribers_count == pullrequest_fixtrue_response["base"]["repo"]["subscribers_count"] ) assert ( obj.base.repo.network_count == pullrequest_fixtrue_response["base"]["repo"]["network_count"] ) assert obj.author_association == pullrequest_fixtrue_response["author_association"] assert obj.draft == pullrequest_fixtrue_response["draft"] assert obj.merged == pullrequest_fixtrue_response["merged"] assert obj.mergeable == pullrequest_fixtrue_response["mergeable"] assert obj.rebaseable == pullrequest_fixtrue_response["rebaseable"] assert obj.mergeable_state == pullrequest_fixtrue_response["mergeable_state"] assert obj.merged_by.login == pullrequest_fixtrue_response["merged_by"]["login"] assert obj.merged_by.id == pullrequest_fixtrue_response["merged_by"]["id"] assert obj.merged_by.node_id == pullrequest_fixtrue_response["merged_by"]["node_id"] assert obj.merged_by.avatar_url == pullrequest_fixtrue_response["merged_by"]["avatar_url"] assert obj.merged_by.gravatar_id == pullrequest_fixtrue_response["merged_by"]["gravatar_id"] assert obj.merged_by.url == pullrequest_fixtrue_response["merged_by"]["url"] assert obj.merged_by.html_url == pullrequest_fixtrue_response["merged_by"]["html_url"] assert obj.merged_by.followers_url == pullrequest_fixtrue_response["merged_by"]["followers_url"] assert obj.merged_by.following_url == pullrequest_fixtrue_response["merged_by"]["following_url"] assert obj.merged_by.gists_url == pullrequest_fixtrue_response["merged_by"]["gists_url"] assert obj.merged_by.starred_url == pullrequest_fixtrue_response["merged_by"]["starred_url"] assert ( obj.merged_by.subscriptions_url == pullrequest_fixtrue_response["merged_by"]["subscriptions_url"] ) assert ( obj.merged_by.organizations_url == pullrequest_fixtrue_response["merged_by"]["organizations_url"] ) assert obj.merged_by.repos_url == pullrequest_fixtrue_response["merged_by"]["repos_url"] assert obj.merged_by.events_url == pullrequest_fixtrue_response["merged_by"]["events_url"] assert ( obj.merged_by.received_events_url == pullrequest_fixtrue_response["merged_by"]["received_events_url"] ) assert obj.merged_by.type == pullrequest_fixtrue_response["merged_by"]["type"] assert obj.merged_by.site_admin == pullrequest_fixtrue_response["merged_by"]["site_admin"] assert obj.comments == pullrequest_fixtrue_response["comments"] assert obj.review_comments == pullrequest_fixtrue_response["review_comments"] assert obj.maintainer_can_modify == pullrequest_fixtrue_response["maintainer_can_modify"] assert obj.commits == pullrequest_fixtrue_response["commits"] assert obj.additions == pullrequest_fixtrue_response["additions"] assert obj.deletions == pullrequest_fixtrue_response["deletions"] assert obj.changed_files == pullrequest_fixtrue_response["changed_files"]

49.904814

100

0.696731

5,243

45,613

5.74938

0.032615

0.253185

0.364849

0.215499

0.858579

0.589835

0.173666

0.014331

0

0.00346

0.15101

45,613

913

101

49.959474

0.774952

0.001359

0

0.189636

1

0

0.173419

0.001427

0

0.463065

1

0.001103

false

0

0.002205

0

0.003308

0

null

1

0

1

0

null

0

1

0

6

e4ef87cd8c9016a2bcec878e8ead8d0c3e0a2e5c

2,490

py

Python

amiet_tools/functions/fresnel.py

Toktom/amiet_tools

e4104db9a0c3784159378f680ebb89caa5ada053

[ "BSD-3-Clause" ]

null

amiet_tools/functions/fresnel.py

Toktom/amiet_tools

e4104db9a0c3784159378f680ebb89caa5ada053

[ "BSD-3-Clause" ]

null

amiet_tools/functions/fresnel.py

Toktom/amiet_tools

e4104db9a0c3784159378f680ebb89caa5ada053

[ "BSD-3-Clause" ]

null

"""Author: Fabio Casagrande Hirono""" import numpy as np import scipy.integrate as integrate def fr_integrand_re(x): """Creates the argument to the Fresnel integral.""" return (np.exp(1j*x)/np.sqrt(x)).real def fr_integrand_im(x): """Creates the argument to the complex conjugate Fresnel integral.""" return (np.exp(1j*x)/np.sqrt(x)).imag def fr_int(zeta): """ Calculates the Fresnel integral of 'zeta' Parameters ---------- zeta : (Nz,) array_like 1D array of parameter 'zeta' for integration. Returns ------- E : (Nz,) array_like 1D array with results of Fresnel integral of each value of 'zeta' Notes ----- Its complex-conjugate version can be obtained from the 'amiet_tools.fr_int_cc' function. """ # Check if zeta is array or float if type(zeta) is np.ndarray: E = np.zeros(zeta.shape, 'complex') # Calculate Fresnel integral for all non-zero values of zeta for i in range(zeta.size): if zeta[i] != 0: E[i] = (integrate.quad(fr_integrand_re, 0, zeta[i])[0] + 1j*integrate.quad(fr_integrand_im, 0, zeta[i])[0]) elif zeta != 0: E = (integrate.quad(fr_integrand_re, 0, zeta)[0] + 1j*integrate.quad(fr_integrand_im, 0, zeta)[0]) return (1/np.sqrt(2*np.pi))*E def fr_int_cc(zeta): """ Calculates the complex-conjugate Fresnel integral of 'zeta' Parameters ---------- zeta : (Nz,) array_like 1D array of parameter 'zeta' for integration. Returns ------- E_conj : (Nz,) array_like 1D array with results of complex-conjugate Fresnel integral of each value of 'zeta' Notes ----- Its non-complex-conjugate version can be obtained from the 'amiet_tools.fr_int' function. """ # Check if zeta is array or float if type(zeta) is np.ndarray: E_conj = np.zeros(zeta.shape, 'complex') # Calculate complex-conjugate Fresnel integral for all non-zero values # of zeta for i in range(zeta.size): if zeta[i] != 0: E_conj[i] = (integrate.quad(fr_integrand_re, 0, zeta[i])[0] - 1j*integrate.quad(fr_integrand_im, 0, zeta[i])[0]) elif zeta != 0: E_conj = (integrate.quad(fr_integrand_re, 0, zeta)[0] - 1j*integrate.quad(fr_integrand_im, 0, zeta)[0]) return (1/np.sqrt(2*np.pi))*E_conj

28.295455

81

0.597189

357

2,490

4.061625

0.235294

0.075862

0.082759

0.132414

0.86

0.824828

0.747586

0.704828

0.649655

0

0.018847

0.275502

2,490

87

82

28.62069

0.784922

0.436145

0

0.285714

0

0.011164

0

1

0.142857

false

0

0.071429

0

0.357143

0

null

0

1

0

null

0

6

5f4a014a3f3bb4dae0b4b42e83aa61550f029c50

41

py

Python

src/mylib/code_is_here.py

Sei-vae/PythonEnv

fd7ca87e201f03ff1da9b677c49129cc06765c50

[ "MIT" ]

null

src/mylib/code_is_here.py

Sei-vae/PythonEnv

fd7ca87e201f03ff1da9b677c49129cc06765c50

[ "MIT" ]

null

src/mylib/code_is_here.py

Sei-vae/PythonEnv

fd7ca87e201f03ff1da9b677c49129cc06765c50

[ "MIT" ]

null

def SayHello(): print('ohayou sekai')

20.5

25

0.658537

5

41

5.4

1

0

0.170732

41

2

25

20.5

0.794118

0

0.285714

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

6

5f54daec5fbbc5d2b70a5853ef2eca4c3ae20f3c

136

py

Python

libsaas/executors/base.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

155

2015-01-27T15:17:59.000Z

2022-02-20T00:14:08.000Z

libsaas/executors/base.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

14

2015-01-12T08:22:37.000Z

2021-06-16T19:49:31.000Z

libsaas/executors/base.py

MidtownFellowship/libsaas

541bb731b996b08ede1d91a235cb82895765c38a

[ "MIT" ]

43

2015-01-28T22:41:45.000Z

2021-09-21T04:44:26.000Z

from . import current def use_executor(executor): current.process = executor def current_executor(): return current.process

13.6

30

0.742647

16

136

6.1875

0.5

0.282828

0

0.183824

136

9

31

15.111111

0.891892

0

1

0.4

false

0

0.2

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

5f63ab1bfcfe0f0fe882ca2e7feffaee0e6b61e2

11,883

py

Python

test/test_feature_extraction.py

cbrewitt/GRIT-OpenDrive

d8f8898e8fc360f4247aebcc91a855cd2659325f

[ "MIT" ]

null

test/test_feature_extraction.py

cbrewitt/GRIT-OpenDrive

d8f8898e8fc360f4247aebcc91a855cd2659325f

[ "MIT" ]

null

test/test_feature_extraction.py

cbrewitt/GRIT-OpenDrive

d8f8898e8fc360f4247aebcc91a855cd2659325f

[ "MIT" ]

null

import numpy as np import pytest from igp2 import AgentState, VelocityTrajectory from igp2.goal import PointGoal from igp2.opendrive.map import Map from grit.core.feature_extraction import FeatureExtractor from grit.core.goal_generator import TypedGoal def get_feature_extractor(): scenario_map = Map.parse_from_opendrive(f"../scenarios/maps/heckstrasse.xodr") return FeatureExtractor(scenario_map) def test_angle_in_lane_straight(): scenario_map = Map.parse_from_opendrive(f"../scenarios/maps/heckstrasse.xodr") state = AgentState(time=0, position=np.array((28.9, -21.5)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) lane = scenario_map.get_lane(1, 2, 0) assert FeatureExtractor.angle_in_lane(state, lane) == pytest.approx(0, abs=0.2) def test_angle_in_lane_curved(): scenario_map = Map.parse_from_opendrive(f"../scenarios/maps/heckstrasse.xodr") state = AgentState(time=0, position=np.array((28.9, -21.5)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=0 ) lane = scenario_map.get_lane(1, 2, 0) assert FeatureExtractor.angle_in_lane(state, lane) == pytest.approx(np.pi/4, abs=0.2) def test_in_correct_lane(): feature_extractor = get_feature_extractor() scenario_map = feature_extractor.scenario_map lane_path = [scenario_map.get_lane(1, 2, 0), scenario_map.get_lane(7, -1, 0)] assert feature_extractor.in_correct_lane(lane_path) def test_not_in_correct_lane(): feature_extractor = get_feature_extractor() scenario_map = feature_extractor.scenario_map lane_path = [scenario_map.get_lane(1, 1, 0), scenario_map.get_lane(1, 2, 0), scenario_map.get_lane(7, -1, 0)] assert not feature_extractor.in_correct_lane(lane_path) def test_path_to_goal_length_same_lane(): feature_extractor = get_feature_extractor() state = AgentState(time=0, position=np.array((-7.9, 5.6)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) lane = feature_extractor.scenario_map.get_lane(1, 2, 0) path = [lane] goal = TypedGoal('straight-on', PointGoal(np.array((30.7, -22.9)), 1.5), path) assert feature_extractor.path_to_goal_length(state, goal, path) == pytest.approx(47.98, abs=1) def test_path_to_goal_length_different_lane(): feature_extractor = get_feature_extractor() state = AgentState(time=0, position=np.array((-7.9, 5.6)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(7, -1, 0)] goal = TypedGoal('straight-on', PointGoal(np.array((62.0, -47.4)), 1.5), path) assert feature_extractor.path_to_goal_length(state, goal, path) == pytest.approx(87.7, abs=1) def test_path_to_goal_length_lane_change(): feature_extractor = get_feature_extractor() state = AgentState(time=0, position=np.array((12.2, -4.3)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) path = [feature_extractor.scenario_map.get_lane(1, 1, 0), feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(7, -1, 0)] goal = TypedGoal('straight-on', PointGoal(np.array((62.0, -47.4)), 1.5), path) assert feature_extractor.path_to_goal_length(state, goal, path) == pytest.approx(65.8, abs=1) def test_vehicle_in_front_no_vehicles(): feature_extractor = get_feature_extractor() state = AgentState(time=0, position=np.array((-7.9, 5.6)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(7, -1, 0)] frame = {0: state} vehicle_in_front = feature_extractor.vehicle_in_front(0, path, frame) assert vehicle_in_front == (None, np.inf) def test_vehicle_in_front(): feature_extractor = get_feature_extractor() state0 = AgentState(time=0, position=np.array((-6.5, 4.1)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) state1 = AgentState(time=0, position=np.array((14.0, -10.8)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(7, -1, 0)] frame = {0: state0, 1: state1} agent_id, dist = feature_extractor.vehicle_in_front(0, path, frame) assert agent_id == 1 assert dist == pytest.approx(25.3, 1) def test_vehicle_in_front_behind(): feature_extractor = get_feature_extractor() state0 = AgentState(time=0, position=np.array((14.0, -10.8)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi / 4 ) state1 = AgentState(time=0, position=np.array((-6.5, 4.1)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi / 4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(7, -1, 0)] frame = {0: state0, 1: state1} agent_id, dist = feature_extractor.vehicle_in_front(0, path, frame) assert agent_id is None assert dist == np.inf def test_vehicle_in_front_with_lane_change(): feature_extractor = get_feature_extractor() state0 = AgentState(time=0, position=np.array((19.61, -13.96)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi / 4 ) state1 = AgentState(time=0, position=np.array((12.25, -5.08)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi / 4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(1, 1, 0), feature_extractor.scenario_map.get_lane(5, -1, 0)] frame = {0: state0, 1: state1} agent_id, dist = feature_extractor.vehicle_in_front(0, path, frame) assert agent_id is None assert dist == np.inf def test_oncoming_vehicle_none(): feature_extractor = get_feature_extractor() state = AgentState(time=0, position=np.array((-7.9, 5.6)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(7, -1, 0)] frame = {0: state} vehicle_in_front = feature_extractor.oncoming_vehicle(0, path, frame) assert vehicle_in_front == (None, 100) def test_oncoming_vehicle(): feature_extractor = get_feature_extractor() state0 = AgentState(time=0, position=np.array((18.0, -8.7)), velocity=np.array((7.07, -7.07)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) state1 = AgentState(time=0, position=np.array((68.5, -42.7)), velocity=np.array((-7.07, 7.07)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) path = [feature_extractor.scenario_map.get_lane(1, 2, 0), feature_extractor.scenario_map.get_lane(5, -1, 0)] frame = {0: state0, 1: state1} agent_id, dist = feature_extractor.oncoming_vehicle(0, path, frame) assert agent_id == 1 assert dist == pytest.approx(32.4, 1) def test_road_heading(): feature_extractor = get_feature_extractor() scenario_map = feature_extractor.scenario_map lane_path = [scenario_map.get_lane(1, 1, 0), scenario_map.get_lane(5, -1, 0)] road_heading = feature_extractor.road_heading(lane_path) assert road_heading == pytest.approx(np.pi * 0.3, np.pi * 0.01) def test_path_to_lane(): feature_extractor = get_feature_extractor() scenario_map = feature_extractor.scenario_map lane_path = [scenario_map.get_lane(1, 1, 0), scenario_map.get_lane(1, 2, 0), scenario_map.get_lane(7, -1, 0)] path_to_lane = feature_extractor.path_to_lane(lane_path[0], lane_path[-1]) assert path_to_lane == lane_path def test_exit_number_1(): scenario_map = Map.parse_from_opendrive(f"../scenarios/maps/round.xodr") feature_extractor = FeatureExtractor(scenario_map) state = AgentState(time=0, position=np.array((71.9, -76.1)), velocity=np.array((0., 0.)), acceleration=np.array((0, 0)), heading=np.pi * 3/8 ) lane_path = [scenario_map.get_lane(18, -1, 0)] exit_number = feature_extractor.exit_number(state, lane_path) assert exit_number == 1 def test_exit_number_3(): scenario_map = Map.parse_from_opendrive(f"../scenarios/maps/round.xodr") feature_extractor = FeatureExtractor(scenario_map) state = AgentState(time=0, position=np.array((71.9, -76.1)), velocity=np.array((0., 0.)), acceleration=np.array((0, 0)), heading=np.pi * 3/8 ) lane_path = [scenario_map.get_lane(11, -1, 0)] exit_number = feature_extractor.exit_number(state, lane_path) assert exit_number == 3 def test_exit_number_0(): scenario_map = Map.parse_from_opendrive(f"../scenarios/maps/round.xodr") feature_extractor = FeatureExtractor(scenario_map) state = AgentState(time=0, position=np.array((88.5, -62.9)), velocity=np.array((0., 0.)), acceleration=np.array((0, 0)), heading=np.pi * 1/4 ) lane_path = [scenario_map.get_lane(11, -1, 0)] exit_number = feature_extractor.exit_number(state, lane_path) assert exit_number == 0 def test_exit_number_no_roundabout(): feature_extractor = get_feature_extractor() state = AgentState(time=0, position=np.array((-7.9, 5.6)), velocity=np.array((0, 0)), acceleration=np.array((0, 0)), heading=-np.pi/4 ) lane = feature_extractor.scenario_map.get_lane(1, 2, 0) lane_path = [lane] exit_number = feature_extractor.exit_number(state, lane_path) assert exit_number == 0

39.742475

98

0.567618

1,498

11,883

4.271696

0.078104

0.182529

0.045007

0.050633

0.899359

0.876387

0.86701

0.850445

0.829192

0.810752

0

0.053426

0.308508

11,883

298

99

39.875839

0.725326

0

0.656

0

0.01843

0.015653

0

0.092

1

0.08

false

0

0.028

0

0.112

0

null

0

1

0

null

0

6

5f83d3ecf617f5a5767e3e1641e829f050f026bf

2,637

py

Python

dae/dae/backends/raw/tests/test_annotation_decorators.py

iossifovlab/gpf

e556243d29666179dbcb72859845b4d6c011af2b

[ "MIT" ]

null

dae/dae/backends/raw/tests/test_annotation_decorators.py

iossifovlab/gpf

e556243d29666179dbcb72859845b4d6c011af2b

[ "MIT" ]

82

2019-07-22T11:44:23.000Z

2022-01-13T15:27:33.000Z

dae/dae/backends/raw/tests/test_annotation_decorators.py

iossifovlab/gpf

e556243d29666179dbcb72859845b4d6c011af2b

[ "MIT" ]

null

from dae.backends.raw.loader import StoredAnnotationDecorator def test_annotation_pipeline_decorator_iossifov2014(iossifov2014_loader): variants_loader, _families_loader = iossifov2014_loader assert variants_loader.annotation_schema is not None for sv, _ in variants_loader.full_variants_iterator(): assert len(sv.alt_alleles) == 1 assert sv.alt_alleles[0].attributes["score0"] == sv.position assert sv.alt_alleles[0].attributes["score2"] == sv.position / 100 assert sv.alt_alleles[0].attributes["score4"] == sv.position / 10000 def test_stored_annotation_iossifov2014(iossifov2014_loader, temp_filename): variants_loader, _families_loader = iossifov2014_loader assert variants_loader.annotation_schema is not None StoredAnnotationDecorator.save_annotation_file( variants_loader, temp_filename ) loader = StoredAnnotationDecorator( variants_loader, temp_filename ) for sv, _ in loader.full_variants_iterator(): assert len(sv.alt_alleles) == 1 assert sv.alt_alleles[0].attributes["score0"] == sv.position assert sv.alt_alleles[0].attributes["score2"] == sv.position / 100 assert sv.alt_alleles[0].attributes["score4"] == sv.position / 10000 def test_stored_annotation_does_not_change_summary_alleles( iossifov2014_loader, temp_filename): variants_loader, _families_loader = iossifov2014_loader assert variants_loader.annotation_schema is not None StoredAnnotationDecorator.save_annotation_file( variants_loader, temp_filename ) loader = StoredAnnotationDecorator( variants_loader, temp_filename ) for sv, fvs in loader.full_variants_iterator(): for fv in fvs: # Effects will be None if the annotator copies the summary allele assert fv.effects is not None def test_stored_annotation_saves_nonetype_properly( iossifov2014_loader, temp_filename): variants_loader, _families_loader = iossifov2014_loader assert variants_loader.annotation_schema is not None StoredAnnotationDecorator.save_annotation_file( variants_loader, temp_filename ) loader = StoredAnnotationDecorator( variants_loader, temp_filename ) for sv, _ in loader.full_variants_iterator(): assert len(sv.alt_alleles) == 1 if sv.chromosome == "3": assert sv.alt_alleles[0].attributes[ "score0_incomplete_cov" ] is None else: assert sv.alt_alleles[0].attributes["score0_incomplete_cov"] == \ float(sv.position)

33.807692

77

0.717861

301

2,637

5.973422

0.212625

0.116796

0.073415

0.080089

0.807008

0.791435

0.738042

0

0.036468

0.209708

2,637

77

78

34.246753

0.826296

0.023891

0

0.6

0

0.030715

0.01633

0

0.290909

1

0.072727

false

0

0.018182

0

0.090909

0

null

0

1

0

null

0

6

5fafaeeebb64f4d241c5d2ee8b653a05625b569f

9,161

py

Python

Python/Doubly_Linked_List.py

MjCode01/DS-Algo-Point

79d826fa63090014dfaab281e5170c25b86c6bbf

[ "MIT" ]

1,148

2020-09-28T15:06:16.000Z

2022-03-17T16:30:08.000Z

Python/Doubly_Linked_List.py

MjCode01/DS-Algo-Point

79d826fa63090014dfaab281e5170c25b86c6bbf

[ "MIT" ]

520

2020-09-28T18:34:26.000Z

2021-10-30T17:06:43.000Z

Python/Doubly_Linked_List.py

MjCode01/DS-Algo-Point

79d826fa63090014dfaab281e5170c25b86c6bbf

[ "MIT" ]

491

2020-09-28T18:40:14.000Z

2022-03-20T13:41:44.000Z

class Node: def __init__(self, data): self.data = data self.next = None self.prev = None class doublyLinkedList: def __init__(self): self.head = None def insertFirst(self): data = int(input("Enter the value of the node to be inserted : ")) newNode = Node(data) newNode.next = self.head newNode.prev = None if self.head != None: self.head.prev = newNode self.head = newNode print("New node has been inserted into the beginning doubly linked list \n") def deleteFirst(self): if self.head == None: print("The list is empty\n") elif self.head.next == None: print("Removed the first node : ", self.head.data, "\n") self.head = None else: print("Removed the first node : ", self.head.data, "\n") self.head = self.head.next self.head.prev = None def insertLast(self): data = int(input("Enter the vlaue of the node to be inserted : ")) newNode = Node(data) if self.head is None: self.head = newNode else: curr = self.head while curr.next != None: curr = curr.next curr.next = newNode newNode.prev = curr print("New node has been inserted into the end doubly linked list \n") def deleteLast(self): if self.head == None: print("The list is empty\n") elif self.head.next == None: print("Removed the last node : ", self.head.data, "\n") self.head = None else: curr = self.head while curr.next != None: curr = curr.next print("Removed the last node : ", curr.data, "\n") curr = curr.prev curr.next = None def insertAfter(self, prev_node): data = int(input("Enter the value of the node to be inserted : ")) if prev_node == None: print("Previous node can not be Null") else: newNode = Node(data) nxt_node = prev_node.next newNode.prev = prev_node prev_node.next = newNode newNode.next = nxt_node nxt_node.prev = newNode print("The Node has been sucessfully inserted after ", prev_node.data, "\n") def delete(self): key = int(input("Enter the key to be deleted : ")) flag = 0 curr = self.head while curr != None: if(curr.data == key): flag = 1 break curr = curr.next if flag: prev_node = curr.prev nxt_node = curr.next prev_node.next = nxt_node nxt_node.prev = prev_node print(key, "was deleted\n") else: print("The key was not found\n") def displayForeward(self): if(self.head == None): print("The list is empty\n") else: print("The elements of the DLL in foreward direction") curr = self.head while curr != None: print(curr.data, end = " ") curr = curr.next print() def displayBackward(self): if(self.head == None): print("The list is empty\n") else: print("The elements of the DLL in backward direction") curr = self.head while curr.next != None: curr = curr.next while curr != None: print(curr.data, end = " ") curr = curr.prev print() DLL = doublyLinkedList() while True: print("Enter a option you want to perform ") op=int(input("1.Insert First \n2.Delete First \n3.Insert Last \n4.Delete Last \n5.Insert After \n6.Delete \n7.Display Foreward \n8.Display Backward \n9.Exit \n")) if(op==1): DLL.insertFirst() elif(op==2): DLL.deleteFirst() elif(op==3): DLL.insertLast() elif(op==4): DLL.deleteLast() elif(op==5): x = int(input("enter the value of the node After which you want to insert the new node : ")) curr = DLL.head flag = 0 while curr != None: if(curr.data == x): flag = 1 break curr = curr.next if(flag): DLL.insertAfter(curr) else: print("The Node was not found") elif(op==6): DLL.delete() elif(op == 7): DLL.displayForeward() elif(op==8): DLL.displayBackward() elif(op == 9): exit() else: print("enter correct option") """ Implementation of DoublyLinkedList Sample output: Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 1 Enter the value of the node to be inserted : 1 New node has been inserted into the beginning doubly linked list Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 1 Enter the value of the node to be inserted : 2 New node has been inserted into the beginning doubly linked list Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 1 Enter the value of the node to be inserted : 3 New node has been inserted into the beginning doubly linked list Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The elements of the DLL in foreward direction 3 2 1 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 3 Enter the vlaue of the node to be inserted : 5 New node has been inserted into the end doubly linked list Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The elements of the DLL in foreward direction 3 2 1 5 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 8 The elements of the DLL in backward direction 5 1 2 3 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 2 Removed the first node : 3 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The elements of the DLL in foreward direction 2 1 5 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 4 Removed the last node : 5 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The elements of the DLL in foreward direction 2 1 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 5 enter the value of the node After which you want to insert the new node : 2 Enter the value of the node to be inserted : 13 The Node has been sucessfully inserted after 2 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The elements of the DLL in foreward direction 2 13 1 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 6 Enter the key to be deleted : 13 13 was deleted Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The elements of the DLL in foreward direction 2 1 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 8 The elements of the DLL in backward direction 1 2 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 2 Removed the first node : 2 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 4 Removed the last node : 1 Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 2 The list is empty Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 4 The list is empty Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 7 The list is empty Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 8 The list is empty Enter a option you want to perform 1.Insert First 2.Delete First 3.Insert Last 4.Delete Last 5.Insert After 6.Delete 7.Display Foreward 8.Display Backward 9.Exit 9 Time Complexity: ---------------------------------------------- Insert First : O(1) Delete First : O(1) Insert Last : O(n) Delete Last : O(n) Delete After : O(n) delete : O(n) Space Complexity: ----------------------------------------------- Doubly-Linked-List : O(n) """

18.695918

163

0.718044

1,624

9,161

4.03633

0.067118

0.031732

0.035698

0.05492

0.806712

0.794355

0.767201

0.751335

0.734859

0.697788

0

0.039628

0.190154

9,161

490

164

18.695918

0.843914

0

0.442029

0

0.007246

0.259851

0

1

0.072464

false

0

0.086957

0.166667

0

null

0

1

0

null

0

6

39afebe1ec75a039fe1176f583caa050f6872750

2,825

py

Python

classification_algorithm/test/test_continuous_transformer.py

PMantovani/road-irregularity-detector

6df3bd517c403896f223b0e721eee25a610d9693

[ "Apache-2.0" ]

null

classification_algorithm/test/test_continuous_transformer.py

PMantovani/road-irregularity-detector

6df3bd517c403896f223b0e721eee25a610d9693

[ "Apache-2.0" ]

null

classification_algorithm/test/test_continuous_transformer.py

PMantovani/road-irregularity-detector

6df3bd517c403896f223b0e721eee25a610d9693

[ "Apache-2.0" ]

null

import unittest import sys sys.path.append('../src/') from continuous_transformer import ContinuousTransformer class TestContinuousTransformer(unittest.TestCase): def test_correct_input_inserts_in_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60, 11]) self.assertEquals(len(cut.continuous_readings), 1) def test_wrong_input_length_resets_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60]) self.assertEquals(len(cut.continuous_readings), 0) def test_change_of_quality_resets_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60, 11]) cut.add_reading([2, 2, 3, 4, 5, 6, 7, 8, 9, 60, 11]) self.assertEquals(len(cut.continuous_readings), 0) def test_ten_seconds_difference_insert_in_summary_array(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60, 11]) cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60, 21]) self.assertEquals(len(cut.summary_array), 1) def test_insert_in_summary_array_resets_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60, 11]) cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 60, 21]) self.assertEquals(len(cut.continuous_readings), 0) def test_speeds_over_200_resets_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 210, 11]) self.assertEquals(len(cut.continuous_readings), 0) def test_speeds_under_15_resets_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) self.assertEquals(len(cut.continuous_readings), 0) def test_lat_over_90_reset_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 100, 9, 60, 11]) self.assertEquals(len(cut.continuous_readings), 0) def test_lat_under_minus_90_reset_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, -100, 9, 60, 11]) self.assertEquals(len(cut.continuous_readings), 0) def test_lng_over_180_reset_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, 200, 60, 11]) self.assertEquals(len(cut.continuous_readings), 0) def test_lng_under_minus_180_reset_current_readings(self): cut = ContinuousTransformer() cut.add_reading([1, 2, 3, 4, 5, 6, 7, 8, -200, 60, 11]) self.assertEquals(len(cut.continuous_readings), 0) if __name__ == '__main__': unittest.main()

40.357143

67

0.655575

419

2,825

4.171838

0.164678

0.048055

0.104119

0.032037

0.797483

0.770023

0

0.096499

0.211327

2,825

69

68

40.942029

0.688061

0

0.481481

0

0.00531

0

0.203704

1

0.203704

false

0

0.055556

0

0.277778

0

null

0

1

0

null

0

1

0

6

39c699ae1dbdd2ec02a67c66e626ce5c684642bc

156

py

Python

posenet/__init__.py

ophirlevinson/lookatyou

b5cb21de469cfd6ee6643650a6a104757ddcb9c0

[ "Apache-2.0" ]

null

posenet/__init__.py

ophirlevinson/lookatyou

b5cb21de469cfd6ee6643650a6a104757ddcb9c0

[ "Apache-2.0" ]

null

posenet/__init__.py

ophirlevinson/lookatyou

b5cb21de469cfd6ee6643650a6a104757ddcb9c0

[ "Apache-2.0" ]

null

from posenet.constants import * from posenet.decode_multi import decode_multiple_poses from posenet.model import load_model from posenet.utils import *

31.2

55

0.833333

22

156

5.727273

0.5

0.349206

0

0.128205

156

4

56

39

0.926471

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

39ed809bb54f15a11f09375b4e7802f990ce5842

49

py

Python

trtools/pandasdb/api.py

dalejung/trtools

39db1d72269f43e7ba380da5ad28d565137089ed

[ "MIT" ]

3

2015-01-13T01:03:22.000Z

2016-04-20T03:27:11.000Z

trtools/pandasdb/api.py

dalejung/trtools

39db1d72269f43e7ba380da5ad28d565137089ed

[ "MIT" ]

null

trtools/pandasdb/api.py

dalejung/trtools

39db1d72269f43e7ba380da5ad28d565137089ed

[ "MIT" ]

1

2019-10-16T19:13:47.000Z

from .pandasdb import * from .pandassql import *

16.333333

24

0.755102

6

49

6.166667

0.666667

0

0.163265

49

2

25

24.5

0.902439

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f2df8e3c8cec3b004d346a1dc68c1c5302d507aa

65

py

Python

tests/test_utils/modules_for_test/cyclic_import_a.py

costas-basdekis/aox

63a90fb722f29d9b2d26041f9035f99b6b21615e

[ "MIT" ]

2

2021-11-10T22:38:49.000Z

2021-12-03T08:09:01.000Z

tests/test_utils/modules_for_test/cyclic_import_a.py

costas-basdekis/aox

63a90fb722f29d9b2d26041f9035f99b6b21615e

[ "MIT" ]

null

tests/test_utils/modules_for_test/cyclic_import_a.py

costas-basdekis/aox

63a90fb722f29d9b2d26041f9035f99b6b21615e

[ "MIT" ]

null

from . import cyclic_import_b VALUE = cyclic_import_b.VALUE + 1

16.25

33

0.784615

11

65

4.272727

0.545455

0.510638

0.553191

0.765957

0

0.018182

0.153846

65

3

34

21.666667

0.836364

0

1

0

false

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

6

f2f15ad5a68e51afeb26b61b180bff1af386f28a

42

py

Python

recipes/core/db/__init__.py

bschnitz/recipes

8af348774a1edc11ccab3da9753bc456c19f2000

[ "MIT" ]

null

recipes/core/db/__init__.py

bschnitz/recipes

8af348774a1edc11ccab3da9753bc456c19f2000

[ "MIT" ]

null

recipes/core/db/__init__.py

bschnitz/recipes

8af348774a1edc11ccab3da9753bc456c19f2000

[ "MIT" ]

null

from .recipe_storage import RecipeStorage

21

41

0.880952

5

42

7.2

1

0

0.095238

42

1

42

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f2fd99d052bc457dcb2c147a836df1974c935dfd

72

py

Python

appengine/index_redirect.py

roberttootill98/PyBlocks

34aca9308b91f192b9b69f9c42d360051274bd8a

[ "Apache-2.0" ]

1

2020-02-04T14:13:47.000Z

appengine/index_redirect.py

roberttootill98/PyBlocks

34aca9308b91f192b9b69f9c42d360051274bd8a

[ "Apache-2.0" ]

null

appengine/index_redirect.py

roberttootill98/PyBlocks

34aca9308b91f192b9b69f9c42d360051274bd8a

[ "Apache-2.0" ]

null

print("Status: 302") print("Location: /static/demos/python/index.html")

24

50

0.736111

10

72

5.3

0.9

0

0.044118

0.055556

72

2

51

36

0.735294

0

0.722222

0.430556

0

1

0

true

0

1

0

null

0

1

0

1

null

0

1

0

1

0

6

84374cb76f07e94b4d650383ce0c3b7ec5fdcc03

105

py

Python

app/csv_reader.py

MiloS-C/Covid19_Flask_app

ff2149074ff445c4b264b032c2ef95fe9754355b

[ "MIT" ]

null

app/csv_reader.py

MiloS-C/Covid19_Flask_app

ff2149074ff445c4b264b032c2ef95fe9754355b

[ "MIT" ]

null

app/csv_reader.py

MiloS-C/Covid19_Flask_app

ff2149074ff445c4b264b032c2ef95fe9754355b

[ "MIT" ]

null

from covid_data_handler import initilize_CSV_read, initilize_app initilize_app() initilize_CSV_read()

26.25

65

0.857143

15

105

5.466667

0.6

0.292683

0.390244

0

0.095238

105

3

66

35

0.863158

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

8446cc98e8825dd8862f5cf66622fae45d13a184

127

py

Python

app/scripts/__init__.py

cormorack/cava-data

c18e43533bc6c1794c2e7b201c2b3d2b832408bd

[ "MIT" ]

null

app/scripts/__init__.py

cormorack/cava-data

c18e43533bc6c1794c2e7b201c2b3d2b832408bd

[ "MIT" ]

2

2021-11-10T17:48:25.000Z

2021-12-10T18:44:03.000Z

app/scripts/__init__.py

cormorack/cava-data

c18e43533bc6c1794c2e7b201c2b3d2b832408bd

[ "MIT" ]

1

2022-03-16T17:41:19.000Z

from .dataset_loader import LoadDatasets from .shipdata_loader import LoadShipData from .catalog_loader import LoadDataCatalog

31.75

43

0.88189

15

127

7.266667

0.6

0.330275

0

0.094488

127

3

44

42.333333

0.947826

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

ffd15ab46b1495f3a0b25733dfc232eb01a8cab3

36

py

Python

airq/__init__.py

pidofme/airq.pro

41de17d4b8ee3499423ad384fcdf94c13f55ffca

[ "MIT" ]

null

airq/__init__.py

pidofme/airq.pro

41de17d4b8ee3499423ad384fcdf94c13f55ffca

[ "MIT" ]

null

airq/__init__.py

pidofme/airq.pro

41de17d4b8ee3499423ad384fcdf94c13f55ffca

[ "MIT" ]

null

# coding: utf-8 from .app import *

9

18

0.638889

6

36

3.833333

1

0

0.035714

0.222222

36

3

19

12

0.785714

0.361111

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

fff88fe3198cd926a738501fbaf25cda38c2a664

92

py

Python

SchemDraw/__init__.py

volkswagenfeature/schemdraw_Kicad

99b31773f54a88643e77bf0f757468401a66f07a

[ "MIT" ]

3

2019-01-24T14:49:32.000Z

2021-03-29T11:28:55.000Z

SchemDraw/__init__.py

volkswagenfeature/schemdraw_Kicad

99b31773f54a88643e77bf0f757468401a66f07a

[ "MIT" ]

1

2020-09-09T14:36:29.000Z

2020-09-09T15:02:53.000Z

SchemDraw/__init__.py

volkswagenfeature/schemdraw_Kicad

99b31773f54a88643e77bf0f757468401a66f07a

[ "MIT" ]

1

2019-06-07T14:12:16.000Z

from .schemdraw import Drawing from .schemdraw import group_elements __version__ = '0.3.0'

18.4

37

0.793478

13

92

5.230769

0.692308

0.382353

0.558824

0

0.0375

0.130435

92

4

38

23

0.8125

0

0.054348

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

08295fc678d02efde6d044b6eb8485e208fcbf7b

44

py

Python

ports/windows/variants/dev/manifest.py

rxchen/micropython

037b2c72a1d5b54a5508a58ab2044628a7a39fa4

[ "MIT" ]

48

2019-01-30T04:48:47.000Z

2020-04-28T12:37:46.000Z

ports/windows/variants/dev/manifest.py

rxchen/micropython

037b2c72a1d5b54a5508a58ab2044628a7a39fa4

[ "MIT" ]

11

2019-03-14T10:16:14.000Z

2020-05-17T21:36:39.000Z

ports/windows/variants/dev/manifest.py

rxchen/micropython

037b2c72a1d5b54a5508a58ab2044628a7a39fa4

[ "MIT" ]

34

2019-03-02T04:53:54.000Z

2020-05-12T08:53:08.000Z

include("$(PORT_DIR)/variants/manifest.py")

22

43

0.75

6

44

5.333333

1

0

0.022727

44

1

44

0.744186

0

0.727273

0

1

0

true

0

1

0

null

0

1

0

1

null

0

1

0

6

083665a947f93e1ab067a5a0452b1f74df20adf7

37

py

Python

util/__init__.py

jamesgleave/DeepDockingGUI

4baa30af5fac44cce680b849839704b85a2505d5

[ "MIT" ]

10

2021-06-17T12:50:44.000Z

2022-02-28T02:15:19.000Z

util/__init__.py

jamesgleave/DeepDockingGUI

4baa30af5fac44cce680b849839704b85a2505d5

[ "MIT" ]

null

util/__init__.py

jamesgleave/DeepDockingGUI

4baa30af5fac44cce680b849839704b85a2505d5

[ "MIT" ]

5

2021-07-15T21:37:36.000Z

2022-02-10T02:03:21.000Z

from .ProgressBar import ProgressBar

18.5

36

0.864865

4

37

8

0.75

0

0.108108

37

1

37

0.969697

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

084e20ef1536781eaecffcdaa1dfd6cf1ca6ee8c

20

py

Python

mcs/__init__.py

MUzzell/UoR-msc-project

fac83bb0ebbdd3839530c6df0493deff3475fff5

[ "MIT" ]

null

mcs/__init__.py

MUzzell/UoR-msc-project

fac83bb0ebbdd3839530c6df0493deff3475fff5

[ "MIT" ]

null

mcs/__init__.py

MUzzell/UoR-msc-project

fac83bb0ebbdd3839530c6df0493deff3475fff5

[ "MIT" ]

null

from .mcs import mcs

20

0.8

4

20

4

0.75

0

0.15

20

1

20

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f270896629cff7140a0e219ac426bf0a99fa20da

304

py

Python

python/graphscope/experimental/nx/tests/algorithms/forward/bipartite/test_project.py

wenyuanyu/GraphScope

a40ccaf70557e608d8b091eb25ab04477f99ce21

[ "Apache-2.0" ]

2

2020-12-15T08:42:10.000Z

2022-01-14T09:13:16.000Z

python/graphscope/experimental/nx/tests/algorithms/forward/bipartite/test_project.py

wenyuanyu/GraphScope

a40ccaf70557e608d8b091eb25ab04477f99ce21

[ "Apache-2.0" ]

1

2020-12-22T13:15:40.000Z

python/graphscope/experimental/nx/tests/algorithms/forward/bipartite/test_project.py

wenyuanyu/GraphScope

a40ccaf70557e608d8b091eb25ab04477f99ce21

[ "Apache-2.0" ]

1

2021-11-23T03:40:43.000Z

import networkx.algorithms.bipartite.tests.test_project import pytest from graphscope.experimental.nx.utils.compat import import_as_graphscope_nx import_as_graphscope_nx(networkx.algorithms.bipartite.tests.test_project, decorators=pytest.mark.usefixtures("graphscope_session"))

38

81

0.809211

36

304

6.583333

0.527778

0.151899

0.227848

0.270042

0.362869

0

0.118421

304

7

82

43.428571

0.884328

0

0.059211

0

1

0

true

0

0.8

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

29982f80a50d4341d9e4586e764e78f350899254

139

py

Python

backend/src/database/tasks.py

michaeleliot/olympus

d976d6f7c5b987a6a92b7c655d8a719c492aa702

[ "Apache-2.0" ]

null

backend/src/database/tasks.py

michaeleliot/olympus

d976d6f7c5b987a6a92b7c655d8a719c492aa702

[ "Apache-2.0" ]

2

2022-01-13T17:40:09.000Z

2022-01-20T19:16:31.000Z

backend/src/database/tasks.py

michaeleliot/olympus

d976d6f7c5b987a6a92b7c655d8a719c492aa702

[ "Apache-2.0" ]

2

2022-01-13T06:50:07.000Z

2022-03-03T05:02:37.000Z

from sqlalchemy.orm import Session from src.models.tasks import TaskDb def get_all_tasks(db: Session): return db.query(TaskDb).all()

19.857143

35

0.769784

22

139

4.772727

0.681818

0

0.136691

139

6

36

23.166667

0.875

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

29a0d0bd65a357a21055a60c3294540eb5371d50

24

py

Python

ptop/interfaces/__init__.py

deeps-nars/ptop

96822e8c8ecb2fcce1b0edf975266985af4d16e4

[ "MIT" ]

327

2015-07-07T14:18:07.000Z

2017-06-19T21:53:32.000Z

ptop/interfaces/__init__.py

deeps-nars/ptop

96822e8c8ecb2fcce1b0edf975266985af4d16e4

[ "MIT" ]

47

2017-07-12T12:24:20.000Z

2021-07-02T20:49:46.000Z

ptop/interfaces/__init__.py

deeps-nars/ptop

96822e8c8ecb2fcce1b0edf975266985af4d16e4

[ "MIT" ]

40

2017-11-22T06:12:33.000Z

2021-11-20T01:48:37.000Z

from .GUI import PtopGUI

24

0.833333

4

24

5

1

0

0.125

24

1

24

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

29e90fd84a4d58d8b06a83c6f1a6fc324b6f8d80

330

py

Python

smok/extras/event_database/__init__.py

smok-serwis/smok-client

a97b3dac454569f55a8a28a1cac44ae04e3e9cde

[ "MIT" ]

null

smok/extras/event_database/__init__.py

smok-serwis/smok-client

a97b3dac454569f55a8a28a1cac44ae04e3e9cde

[ "MIT" ]

1

2021-02-03T14:58:35.000Z

2021-02-13T17:25:30.000Z

smok/extras/event_database/__init__.py

smok-serwis/smok-client

a97b3dac454569f55a8a28a1cac44ae04e3e9cde

[ "MIT" ]

null

from .base import BaseEventDatabase, BaseEventSynchronization from .in_memory import InMemoryEventDatabase from .null import NullEventDatabase from .pickling import PicklingEventDatabase __all__ = ['BaseEventDatabase', 'BaseEventSynchronization', 'InMemoryEventDatabase', 'PicklingEventDatabase', 'NullEventDatabase']

41.25

84

0.824242

24

330

11.125

0.541667

0.307116

0

0.109091

330

7

85

47.142857

0.908163

0

0.30303

0.2

0

1

0

false

0

0.666667

0

0.666667

0

1

0

1

null

1

0

1

0

null

0

1

0

1

0

6

29ef3dd919b6a290db662ca1b7583aabd107773e

14,871

py

Python

src/models/Pix2Vox/utils/data_loaders.py

Ceglowa/AOiW_project_3d_modelling

55540b7f069226f9848a13a57b668783ed804682

[ "MIT" ]

2

2021-04-23T12:26:09.000Z

2021-05-18T16:02:48.000Z

src/models/Pix2Vox/utils/data_loaders.py

Ceglowa/AOiW_project_3d_modelling

55540b7f069226f9848a13a57b668783ed804682

[ "MIT" ]

null

src/models/Pix2Vox/utils/data_loaders.py

Ceglowa/AOiW_project_3d_modelling

55540b7f069226f9848a13a57b668783ed804682

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Developed by Haozhe Xie <cshzxie@gmail.com> import json import logging import os import random import sys from enum import Enum, unique import numpy as np import scipy.io import scipy.ndimage import torch.utils.data.dataset from PIL import Image import utils.binvox_rw @unique class DatasetType(Enum): TRAIN = 0 TEST = 1 VAL = 2 # //////////////////////////////// = End of DatasetType Class Definition = ///////////////////////////////// # class ShapeNetDataset(torch.utils.data.dataset.Dataset): """ShapeNetDataset class used for PyTorch DataLoader""" def __init__(self, dataset_type, file_list, n_views_rendering, transforms=None): self.dataset_type = dataset_type self.file_list = file_list self.transforms = transforms self.n_views_rendering = n_views_rendering def __len__(self): return len(self.file_list) def __getitem__(self, idx): taxonomy_name, sample_name, rendering_images, volume = self.get_datum(idx) if self.transforms: rendering_images = self.transforms(rendering_images) return taxonomy_name, sample_name, rendering_images, volume def set_n_views_rendering(self, n_views_rendering): self.n_views_rendering = n_views_rendering def get_datum(self, idx): taxonomy_name = self.file_list[idx]['taxonomy_name'] sample_name = self.file_list[idx]['sample_name'] rendering_image_paths = self.file_list[idx]['rendering_images'] volume_path = self.file_list[idx]['volume'] # Get data of rendering images if self.dataset_type == DatasetType.TRAIN: selected_rendering_image_paths = [ rendering_image_paths[i] for i in random.sample(range(len(rendering_image_paths)), self.n_views_rendering) ] else: selected_rendering_image_paths = [rendering_image_paths[i] for i in range(self.n_views_rendering)] rendering_images = [] for image_path in selected_rendering_image_paths: rendering_image = np.asarray(Image.open(image_path)).astype(np.float32) / 255. if len(rendering_image.shape) < 3: logging.error('It seems that there is something wrong with the image file %s' % (image_path)) sys.exit(2) rendering_images.append(rendering_image) # Get data of volume _, suffix = os.path.splitext(volume_path) if suffix == '.mat': volume = scipy.io.loadmat(volume_path) volume = volume['Volume'].astype(np.float32) elif suffix == '.binvox': with open(volume_path, 'rb') as f: volume = utils.binvox_rw.read_as_3d_array(f) volume = volume.data.astype(np.float32) return taxonomy_name, sample_name, np.asarray(rendering_images), volume # //////////////////////////////// = End of ShapeNetDataset Class Definition = ///////////////////////////////// # class ShapeNetDataLoader: def __init__(self, cfg): self.dataset_taxonomy = None self.rendering_image_path_template = cfg.DATASETS.SHAPENET.RENDERING_PATH self.volume_path_template = cfg.DATASETS.SHAPENET.VOXEL_PATH # Load all taxonomies of the dataset with open(cfg.DATASETS.SHAPENET.TAXONOMY_FILE_PATH, encoding='utf-8') as file: self.dataset_taxonomy = json.loads(file.read()) def get_dataset(self, dataset_type, n_views_rendering, transforms=None, ratio=1): files = [] # Load data for each category for taxonomy in self.dataset_taxonomy: taxonomy_folder_name = taxonomy['taxonomy_id'] logging.info('Collecting files of Taxonomy[ID=%s, Name=%s]' % (taxonomy['taxonomy_id'], taxonomy['taxonomy_name'])) samples = [] if dataset_type.value == DatasetType.TRAIN.value: samples = taxonomy['train'] elif dataset_type.value == DatasetType.TEST.value: samples = taxonomy['test'] elif dataset_type.value == DatasetType.VAL.value: samples = taxonomy['val'] files_of_taxonomy = self.get_files_of_taxonomy(taxonomy_folder_name, samples) number_of_files = len(files_of_taxonomy) number_of_files_to_be_selected = round(number_of_files / ratio) files.extend(files_of_taxonomy[:number_of_files_to_be_selected]) logging.info('Complete collecting files of the dataset. Total files: %d.' % (len(files))) return ShapeNetDataset(dataset_type, files, n_views_rendering, transforms) def get_files_of_taxonomy(self, taxonomy_folder_name, samples): files_of_taxonomy = [] for sample_idx, sample_name in enumerate(samples): # Get file path of volumes volume_file_path = self.volume_path_template % (taxonomy_folder_name, sample_name) if not os.path.exists(volume_file_path): logging.warn('Ignore sample %s/%s since volume file not exists.' % (taxonomy_folder_name, sample_name)) continue # Get file list of rendering images img_file_path = self.rendering_image_path_template % (taxonomy_folder_name, sample_name, 0) img_folder = os.path.dirname(img_file_path) total_views = len(os.listdir(img_folder)) rendering_image_indexes = range(total_views) rendering_images_file_path = [] for image_idx in rendering_image_indexes: img_file_path = self.rendering_image_path_template % (taxonomy_folder_name, sample_name, image_idx) if not os.path.exists(img_file_path): continue rendering_images_file_path.append(img_file_path) if len(rendering_images_file_path) == 0: logging.warn('Ignore sample %s/%s since image files not exists.' % (taxonomy_folder_name, sample_name)) continue # Append to the list of rendering images files_of_taxonomy.append({ 'taxonomy_name': taxonomy_folder_name, 'sample_name': sample_name, 'rendering_images': rendering_images_file_path, 'volume': volume_file_path, }) return files_of_taxonomy # /////////////////////////////// = End of ShapeNetDataLoader Class Definition = /////////////////////////////// # class MVSDataset(torch.utils.data.dataset.Dataset): """MVSDataset class used for PyTorch DataLoader""" def __init__(self, dataset_type, file_list, n_views_rendering, transforms=None, target_size=(224, 224)): self.dataset_type = dataset_type self.file_list = file_list self.transforms = transforms self.n_views_rendering = n_views_rendering self.target_size = target_size def __len__(self): return len(self.file_list) def __getitem__(self, idx): taxonomy_name, sample_name, rendering_images, volume = self.get_datum(idx) if self.transforms: rendering_images = self.transforms(rendering_images) return taxonomy_name, sample_name, rendering_images, volume def set_n_views_rendering(self, n_views_rendering): self.n_views_rendering = n_views_rendering def get_datum(self, idx): taxonomy_name = self.file_list[idx]['taxonomy_name'] sample_name = self.file_list[idx]['sample_name'] rendering_image_paths = self.file_list[idx]['rendering_images'] volume_path = self.file_list[idx]['volume'] # Get data of rendering images if self.dataset_type == DatasetType.TRAIN: selected_rendering_image_paths = [ rendering_image_paths[i] for i in random.sample(range(len(rendering_image_paths)), self.n_views_rendering) ] else: selected_rendering_image_paths = [rendering_image_paths[i] for i in range(self.n_views_rendering)] rendering_images = [] for image_path in selected_rendering_image_paths: pil_image = Image.open(image_path) image_resized = pil_image.resize(self.target_size) rendering_image = np.asarray(image_resized).astype(np.float32) / 255. if len(rendering_image.shape) < 3: logging.error('It seems that there is something wrong with the image file %s' % (image_path)) sys.exit(2) rendering_images.append(rendering_image) # Get data of volume _, suffix = os.path.splitext(volume_path) if suffix == '.mat': volume = scipy.io.loadmat(volume_path) volume = volume['Volume'].astype(np.float32) elif suffix == '.binvox': with open(volume_path, 'rb') as f: volume = utils.binvox_rw.read_as_3d_array(f) volume = volume.data.astype(np.float32) return taxonomy_name, sample_name, np.asarray(rendering_images), volume # //////////////////////////////// = End of MVSDataset Class Definition = ///////////////////////////////// # class MVSDataLoader: def __init__(self, cfg): self.dataset_taxonomy = None self.rendering_image_path_template = cfg.DATASETS.MVS.RENDERING_PATH self.volume_path_template = cfg.DATASETS.MVS.VOXEL_PATH self.target_size = (cfg.CONST.IMG_W, cfg.CONST.IMG_H) # Load all taxonomies of the dataset with open(cfg.DATASETS.MVS.TAXONOMY_FILE_PATH, encoding='utf-8') as file: self.dataset_taxonomy = json.loads(file.read()) def get_dataset(self, dataset_type, n_views_rendering, transforms=None): files = [] # Load data for each category for taxonomy in self.dataset_taxonomy: taxonomy_folder_name = taxonomy['taxonomy_id'] logging.info('Collecting files of Taxonomy[ID=%s, Name=%s]' % (taxonomy['taxonomy_id'], taxonomy['taxonomy_name'])) samples = [] if dataset_type.value == DatasetType.TRAIN.value: samples = taxonomy['train'] elif dataset_type.value == DatasetType.TEST.value: samples = taxonomy['test'] elif dataset_type.value == DatasetType.VAL.value: samples = taxonomy['val'] files.extend(self.get_files_of_taxonomy(taxonomy_folder_name, samples)) logging.info('Complete collecting files of the dataset. Total files: %d.' % (len(files))) return MVSDataset(dataset_type, files, n_views_rendering, transforms, self.target_size) def get_files_of_taxonomy(self, taxonomy_folder_name, samples): files_of_taxonomy = [] for sample_idx, sample_name in enumerate(samples): # Get file path of volumes sample_number = int(sample_name[4:]) sample_str = f"{int(sample_number):03d}" volume_file_path = self.volume_path_template % (sample_str) if not os.path.exists(volume_file_path): logging.warn('Ignore sample %s/%s since volume file not exists.' % (taxonomy_folder_name, sample_name)) continue # Get file list of rendering images img_file_path = self.rendering_image_path_template % (sample_number, 1) img_folder = os.path.dirname(img_file_path) total_views = len(os.listdir(img_folder)) rendering_image_indexes = range(total_views) rendering_images_file_path = [] for image_idx in rendering_image_indexes: img_file_path = self.rendering_image_path_template % (sample_number, image_idx + 1) if not os.path.exists(img_file_path): continue rendering_images_file_path.append(img_file_path) if len(rendering_images_file_path) == 0: logging.warn('Ignore sample %s/%s since image files not exists.' % (taxonomy_folder_name, sample_name)) continue # Append to the list of rendering images files_of_taxonomy.append({ 'taxonomy_name': taxonomy_folder_name, 'sample_name': sample_name, 'rendering_images': rendering_images_file_path, 'volume': volume_file_path, }) return files_of_taxonomy # /////////////////////////////// = End of MVSDataLoader Class Definition = /////////////////////////////// # class MixedDataset(torch.utils.data.dataset.Dataset): """MVSDataset class used for PyTorch DataLoader""" def __init__(self, shapenet_dataset, mvs_dataset): self.shapenet_dataset = shapenet_dataset self.mvs_dataset = mvs_dataset def __len__(self): return len(self.shapenet_dataset.file_list) + len(self.mvs_dataset.file_list) def __getitem__(self, idx): if idx < len(self.mvs_dataset.file_list): taxonomy_name, sample_name, rendering_images, volume = self.mvs_dataset.get_datum(idx) if self.mvs_dataset.transforms: rendering_images = self.mvs_dataset.transforms(rendering_images) return taxonomy_name, sample_name, rendering_images, volume else: idx = idx - len(self.mvs_dataset.file_list) taxonomy_name, sample_name, rendering_images, volume = self.shapenet_dataset.get_datum(idx) if self.shapenet_dataset.transforms: rendering_images = self.shapenet_dataset.transforms(rendering_images) return taxonomy_name, sample_name, rendering_images, volume def set_n_views_rendering(self, n_views_rendering): self.shapenet_dataset.set_n_views_rendering(n_views_rendering) self.mvs_dataset.set_n_views_rendering(n_views_rendering) # //////////////////////////////// = End of MixedDataset Class Definition = ///////////////////////////////// # class MixedDataLoader: def __init__(self, cfg): self.shapenet_data_loader = ShapeNetDataLoader(cfg) self.mvs_data_loader = MVSDataLoader(cfg) self.shapenet_ratio = cfg.CONST.SHAPENET_RATIO def get_dataset(self, dataset_type, n_views_rendering, transforms=None): return MixedDataset(self.shapenet_data_loader.get_dataset(dataset_type, n_views_rendering, transforms, ratio=self.shapenet_ratio), self.mvs_data_loader.get_dataset(dataset_type, n_views_rendering, transforms)) # /////////////////////////////// = End of MixedDataLoader Class Definition = /////////////////////////////// # DATASET_LOADER_MAPPING = { 'ShapeNet': ShapeNetDataLoader, 'MVS': MVSDataLoader, 'Mixed': MixedDataLoader }

40.191892

119

0.636608

1,742

14,871

5.119403

0.098163

0.06728

0.052142

0.029603

0.844808

0.832474

0.807692

0.786387

0.7671

0.747589

0

0.004042

0.251429

14,871

369

120

40.300813

0.797072

0.093269

0

0.676113

0

0.066086

0.001786

0

1

0.089069

false

0

0.048583

0.016194

0.234818

0

null

0

1

0

null

0

6

d99ff20d53a87a1f4e36ecc46c21db406e105643

25

py

Python

ghsAppWrapper/__init__.py

goffstown-sports-app/Python-Wrapper

71b86af657398556f2aac32ceca3b553c662c59d

[ "MIT" ]

null

ghsAppWrapper/__init__.py

goffstown-sports-app/Python-Wrapper

71b86af657398556f2aac32ceca3b553c662c59d

[ "MIT" ]

2

2020-01-24T00:05:30.000Z

2020-06-23T00:28:20.000Z

ghsAppWrapper/__init__.py

goffstown-sports-app/ghsAppWrapper

71b86af657398556f2aac32ceca3b553c662c59d

[ "MIT" ]

null

from .main import ghsApp

12.5

24

0.8

4

25

5

1

0

0.16

25

1

25

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

d9a9e53bdacadca56160a286b71aba637da39a3c

41

py

Python

app/commands/__init__.py

dmaiabjj/luiza-lab-api-challenger

8f55ebbdd49a170ca3fdf38da229d29bd0548adf

[ "MIT" ]

null

app/commands/__init__.py

dmaiabjj/luiza-lab-api-challenger

8f55ebbdd49a170ca3fdf38da229d29bd0548adf

[ "MIT" ]

null

app/commands/__init__.py

dmaiabjj/luiza-lab-api-challenger

8f55ebbdd49a170ca3fdf38da229d29bd0548adf

[ "MIT" ]

null

from .initialize_db import InitDbCommand

20.5

40

0.878049

5

41

7

1

0

0.097561

41

1

41

0.945946

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

d9d975709e9d74dd991b37a352750f15b3a8d610

1,268

py

Python

tcp_check/datadog_checks/tcp_check/config_models/defaults.py

kjmadscience/integrations-core

663bdf44730dd6c9f3565c121318b320bfcb4988

[ "BSD-3-Clause" ]

null

tcp_check/datadog_checks/tcp_check/config_models/defaults.py

kjmadscience/integrations-core

663bdf44730dd6c9f3565c121318b320bfcb4988

[ "BSD-3-Clause" ]

null

tcp_check/datadog_checks/tcp_check/config_models/defaults.py

kjmadscience/integrations-core

663bdf44730dd6c9f3565c121318b320bfcb4988

[ "BSD-3-Clause" ]

null

# (C) Datadog, Inc. 2021-present # All rights reserved # Licensed under a 3-clause BSD style license (see LICENSE) # This file is autogenerated. # To change this file you should edit assets/configuration/spec.yaml and then run the following commands: # ddev -x validate config -s <INTEGRATION_NAME> # ddev -x validate models -s <INTEGRATION_NAME> from datadog_checks.base.utils.models.fields import get_default_field_value def shared_service(field, value): return get_default_field_value(field, value) def instance_collect_response_time(field, value): return False def instance_disable_generic_tags(field, value): return False def instance_empty_default_hostname(field, value): return False def instance_ip_cache_duration(field, value): return get_default_field_value(field, value) def instance_metric_patterns(field, value): return get_default_field_value(field, value) def instance_min_collection_interval(field, value): return 15 def instance_multiple_ips(field, value): return False def instance_service(field, value): return get_default_field_value(field, value) def instance_tags(field, value): return get_default_field_value(field, value) def instance_timeout(field, value): return 10

23.054545

105

0.776025

179

1,268

5.251397

0.452514

0.234043

0.187234

0.12766

0.454255

0.318085

0

0.008372

0.152208

1,268

54

106

23.481481

0.866047

0.268139

0

0.391304

1

0

1

0.478261

false

0

0.043478

0.478261

1

0

null

1

0

1

0

null

0

1

0

1

0

6

d9e7b31099d1850a93a317f69d7a74d991bc2747

8,735

py

Python

mlops/tests/test_regression_metrics.py

mlpiper/mlpiper

0fd2b6773f970c831038db47bf4920ada21a5f51

[ "Apache-2.0" ]

7

2019-04-08T02:31:55.000Z

2021-11-15T14:40:49.000Z

mlops/tests/test_regression_metrics.py

mlpiper/mlpiper

0fd2b6773f970c831038db47bf4920ada21a5f51

[ "Apache-2.0" ]

31

2019-02-22T22:23:26.000Z

2021-08-02T17:17:06.000Z

mlops/tests/test_regression_metrics.py

mlpiper/mlpiper

0fd2b6773f970c831038db47bf4920ada21a5f51

[ "Apache-2.0" ]

8

2019-03-15T23:46:08.000Z

2020-02-06T09:16:02.000Z

import pytest import sklearn from parallelm.mlops import mlops as pm from parallelm.mlops.metrics_constants import RegressionMetrics from parallelm.mlops.mlops_exception import MLOpsStatisticsException from parallelm.mlops.mlops_mode import MLOpsMode def test_mlops_explained_variance_score_apis(): pm.init(ctx=None, mlops_mode=MLOpsMode.STAND_ALONE) labels_pred = [1.0, 0.5, 2.5, 4.75, 7.0, 0.75] labels_actual = [1.5, 0.75, 2.75, 4.5, 7.50, 0.25] evs = sklearn.metrics.explained_variance_score(labels_actual, labels_pred) # first way pm.set_stat(RegressionMetrics.EXPLAINED_VARIANCE_SCORE, evs) # array list is allowed as well pm.set_stat(RegressionMetrics.EXPLAINED_VARIANCE_SCORE, [1, 2, 3]) # second way pm.metrics.explained_variance_score(y_true=labels_actual, y_pred=labels_pred) # should throw error if labels predicted is different length than actuals with pytest.raises(ValueError): labels_pred_missing_values = [1.0, 0.5, 7.0, 0.75] pm.metrics.explained_variance_score(y_true=labels_actual, y_pred=labels_pred_missing_values) sample_weight = [0.9, 0.1, 0.5, 0.9, 1.0, 0] # testing with sample weights as well pm.metrics.explained_variance_score(y_true=labels_actual, y_pred=labels_pred, sample_weight=sample_weight) labels_2d_actual = [[1.0, 0.5], [2.5, 4.75], [7.0, 0.75]] labels_2d_pred = [[1.5, 0.75], [2.75, 4.5], [7.50, 0.25]] # testing where result will be multiple float values evs = pm.metrics.explained_variance_score(y_true=labels_2d_actual, y_pred=labels_2d_pred, multioutput="raw_values") assert len(evs) == 2 pm.done() def test_mlops_mean_absolute_error_apis(): pm.init(ctx=None, mlops_mode=MLOpsMode.STAND_ALONE) labels_pred = [1.0, 0.5, 2.5, 4.75, 7.0, 0.75] labels_actual = [1.5, 0.75, 2.75, 4.5, 7.50, 0.25] mae = sklearn.metrics.mean_absolute_error(labels_actual, labels_pred) # first way pm.set_stat(RegressionMetrics.MEAN_ABSOLUTE_ERROR, mae) # array list is allowed as well pm.set_stat(RegressionMetrics.MEAN_ABSOLUTE_ERROR, [1, 2, 3]) # second way pm.metrics.mean_absolute_error(y_true=labels_actual, y_pred=labels_pred) # should throw error if labels predicted is different length than actuals with pytest.raises(ValueError): labels_pred_missing_values = [1.0, 0.5, 7.0, 0.75] pm.metrics.mean_absolute_error(y_true=labels_actual, y_pred=labels_pred_missing_values) sample_weight = [0.9, 0.1, 0.5, 0.9, 1.0, 0] # testing with sample weights as well pm.metrics.mean_absolute_error(y_true=labels_actual, y_pred=labels_pred, sample_weight=sample_weight) labels_2d_actual = [[1.0, 0.5], [2.5, 4.75], [7.0, 0.75]] labels_2d_pred = [[1.5, 0.75], [2.75, 4.5], [7.50, 0.25]] mae = pm.metrics.mean_absolute_error(y_true=labels_2d_actual, y_pred=labels_2d_pred, multioutput="raw_values") assert len(mae) == 2 pm.done() def test_mlops_mean_squared_error_apis(): pm.init(ctx=None, mlops_mode=MLOpsMode.STAND_ALONE) labels_pred = [1.0, 0.5, 2.5, 4.75, 7.0, 0.75] labels_actual = [1.5, 0.75, 2.75, 4.5, 7.50, 0.25] mse = sklearn.metrics.mean_squared_error(labels_actual, labels_pred) # first way pm.set_stat(RegressionMetrics.MEAN_SQUARED_ERROR, mse) # second way pm.metrics.mean_squared_error(y_true=labels_actual, y_pred=labels_pred) # array list is allowed as well pm.set_stat(RegressionMetrics.MEAN_SQUARED_ERROR, [1, 2, 3]) # should throw error if labels predicted is different length than actuals with pytest.raises(ValueError): labels_pred_missing_values = [1.0, 0.5, 7.0, 0.75] pm.metrics.mean_squared_error(y_true=labels_actual, y_pred=labels_pred_missing_values) sample_weight = [0.9, 0.1, 0.5, 0.9, 1.0, 0] # testing with sample weights as well pm.metrics.mean_squared_error(y_true=labels_actual, y_pred=labels_pred, sample_weight=sample_weight) labels_2d_actual = [[1.0, 0.5], [2.5, 4.75], [7.0, 0.75]] labels_2d_pred = [[1.5, 0.75], [2.75, 4.5], [7.50, 0.25]] mse = pm.metrics.mean_squared_error(y_true=labels_2d_actual, y_pred=labels_2d_pred, multioutput="raw_values") assert len(mse) == 2 pm.done() def test_mlops_mean_squared_log_error_apis(): pm.init(ctx=None, mlops_mode=MLOpsMode.STAND_ALONE) labels_pred = [1.0, 0.5, 2.5, 4.75, 7.0, 0.75] labels_actual = [1.5, 0.75, 2.75, 4.5, 7.50, 0.25] msle = sklearn.metrics.mean_squared_log_error(labels_actual, labels_pred) # first way pm.set_stat(RegressionMetrics.MEAN_SQUARED_LOG_ERROR, msle) pm.set_stat(RegressionMetrics.MEAN_SQUARED_LOG_ERROR, [1, 2, 3]) # second way pm.metrics.mean_squared_log_error(y_true=labels_actual, y_pred=labels_pred) # should throw error if labels predicted is different length than actuals with pytest.raises(ValueError): labels_pred_missing_values = [1.0, 0.5, 7.0, 0.75] pm.metrics.mean_squared_log_error(y_true=labels_actual, y_pred=labels_pred_missing_values) # should throw error if labels contain negative values with pytest.raises(ValueError): labels_pred_neg = [1.0, -0.5, 2.5, 4.75, 7.0, 0.75] labels_actual_neg = [1.5, -0.75, 2.75, 4.5, 7.50, 0.25] pm.metrics.mean_squared_log_error(y_true=labels_actual_neg, y_pred=labels_pred_neg) sample_weight = [0.9, 0.1, 0.5, 0.9, 1.0, 0] # testing with sample weights as well pm.metrics.mean_squared_log_error(y_true=labels_actual, y_pred=labels_pred, sample_weight=sample_weight) labels_2d_actual = [[1.0, 0.5], [2.5, 4.75], [7.0, 0.75]] labels_2d_pred = [[1.5, 0.75], [2.75, 4.5], [7.50, 0.25]] msle = pm.metrics.mean_squared_log_error(y_true=labels_2d_actual, y_pred=labels_2d_pred, multioutput="raw_values") assert len(msle) == 2 pm.done() def test_mlops_median_absolute_error_apis(): pm.init(ctx=None, mlops_mode=MLOpsMode.STAND_ALONE) labels_pred = [1.0, 0.5, 2.5, 4.75, 7.0, 0.75] labels_actual = [1.5, 0.75, 2.75, 4.5, 7.50, 0.25] mae = sklearn.metrics.median_absolute_error(labels_actual, labels_pred) # first way pm.set_stat(RegressionMetrics.MEDIAN_ABSOLUTE_ERROR, mae) # second way pm.metrics.median_absolute_error(y_true=labels_actual, y_pred=labels_pred) # should throw error if not numeric number is provided with pytest.raises(MLOpsStatisticsException): pm.set_stat(RegressionMetrics.MEDIAN_ABSOLUTE_ERROR, [1, 2, 3]) # should throw error if labels predicted is different length than actuals with pytest.raises(ValueError): labels_pred_missing_values = [1.0, 0.5, 7.0, 0.75] pm.metrics.mean_absolute_error(y_true=labels_actual, y_pred=labels_pred_missing_values) pm.done() def test_mlops_r2_score_apis(): pm.init(ctx=None, mlops_mode=MLOpsMode.STAND_ALONE) labels_pred = [1.0, 0.5, 2.5, 4.75, 7.0, 0.75] labels_actual = [1.5, 0.75, 2.75, 4.5, 7.50, 0.25] r2 = sklearn.metrics.r2_score(labels_actual, labels_pred) # first way pm.set_stat(RegressionMetrics.R2_SCORE, r2) pm.set_stat(RegressionMetrics.R2_SCORE, [1, 2, 3]) # second way pm.metrics.r2_score(y_true=labels_actual, y_pred=labels_pred) # should throw error if labels predicted is different length than actuals with pytest.raises(ValueError): labels_pred_missing_values = [1.0, 0.5, 7.0, 0.75] pm.metrics.r2_score(y_true=labels_actual, y_pred=labels_pred_missing_values) sample_weight = [0.9, 0.1, 0.5, 0.9, 1.0, 0] # testing with sample weights as well pm.metrics.r2_score(y_true=labels_actual, y_pred=labels_pred, sample_weight=sample_weight) labels_2d_actual = [[1.0, 0.5], [2.5, 4.75], [7.0, 0.75]] labels_2d_pred = [[1.5, 0.75], [2.75, 4.5], [7.50, 0.25]] r2 = pm.metrics.r2_score(y_true=labels_2d_actual, y_pred=labels_2d_pred, multioutput="raw_values") assert len(r2) == 2 pm.done()

35.946502

100

0.646594

1,372

8,735

3.867347

0.072157

0.015454

0.013004

0.070486

0.891632

0.879759

0.861101

0.830004

0.790614

0.779872

0

0.078761

0.238351

8,735

242

101

36.095041

0.718773

0.11265

0

0.556391

0

0.006476

0

0.037594

1

0.045113

false

0

0.045113

0

0.090226

0

null

0

1

0

null

0

6

8a23ea46c136e8504249c45c65a038d722f09d32

81,232

py

Python

custos-client-sdks/custos-python-sdk/build/lib/custos/server/core/IamAdminService_pb2_grpc.py

apache/airavata-custos

075dd26c364b5b5abe8a4f2b226b2de30474f8e4

[ "Apache-2.0" ]

10

2019-05-21T22:42:35.000Z

2022-03-25T15:58:09.000Z

custos-client-sdks/custos-python-sdk/build/lib/custos/server/core/IamAdminService_pb2_grpc.py

apache/airavata-custos

075dd26c364b5b5abe8a4f2b226b2de30474f8e4

[ "Apache-2.0" ]

83

2019-02-22T12:22:14.000Z

2022-03-30T13:42:47.000Z

custos-client-sdks/custos-python-sdk/build/lib/custos/server/core/IamAdminService_pb2_grpc.py

apache/airavata-custos

075dd26c364b5b5abe8a4f2b226b2de30474f8e4

[ "Apache-2.0" ]

20

2019-02-22T08:10:05.000Z

2021-11-07T19:37:04.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc import custos.server.core.IamAdminService_pb2 as IamAdminService__pb2 from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 class IamAdminServiceStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.setUPTenant = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/setUPTenant', request_serializer=IamAdminService__pb2.SetUpTenantRequest.SerializeToString, response_deserializer=IamAdminService__pb2.SetUpTenantResponse.FromString, ) self.updateTenant = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/updateTenant', request_serializer=IamAdminService__pb2.SetUpTenantRequest.SerializeToString, response_deserializer=IamAdminService__pb2.SetUpTenantResponse.FromString, ) self.deleteTenant = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteTenant', request_serializer=IamAdminService__pb2.DeleteTenantRequest.SerializeToString, response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, ) self.configureFederatedIDP = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/configureFederatedIDP', request_serializer=IamAdminService__pb2.ConfigureFederateIDPRequest.SerializeToString, response_deserializer=IamAdminService__pb2.FederateIDPResponse.FromString, ) self.addRolesToTenant = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addRolesToTenant', request_serializer=IamAdminService__pb2.AddRolesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.AllRoles.FromString, ) self.addProtocolMapper = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addProtocolMapper', request_serializer=IamAdminService__pb2.AddProtocolMapperRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.getRolesOfTenant = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/getRolesOfTenant', request_serializer=IamAdminService__pb2.GetRolesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.AllRoles.FromString, ) self.deleteRole = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteRole', request_serializer=IamAdminService__pb2.DeleteRoleRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.isUsernameAvailable = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/isUsernameAvailable', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.registerUser = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/registerUser', request_serializer=IamAdminService__pb2.RegisterUserRequest.SerializeToString, response_deserializer=IamAdminService__pb2.RegisterUserResponse.FromString, ) self.enableUser = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/enableUser', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.UserRepresentation.FromString, ) self.disableUser = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/disableUser', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.UserRepresentation.FromString, ) self.isUserEnabled = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/isUserEnabled', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.isUserExist = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/isUserExist', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.CheckingResponse.FromString, ) self.getUser = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/getUser', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.UserRepresentation.FromString, ) self.findUsers = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/findUsers', request_serializer=IamAdminService__pb2.FindUsersRequest.SerializeToString, response_deserializer=IamAdminService__pb2.FindUsersResponse.FromString, ) self.resetPassword = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/resetPassword', request_serializer=IamAdminService__pb2.ResetUserPassword.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.grantAdminPrivilege = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/grantAdminPrivilege', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.removeAdminPrivilege = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/removeAdminPrivilege', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.registerAndEnableUsers = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/registerAndEnableUsers', request_serializer=IamAdminService__pb2.RegisterUsersRequest.SerializeToString, response_deserializer=IamAdminService__pb2.RegisterUsersResponse.FromString, ) self.addUserAttributes = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addUserAttributes', request_serializer=IamAdminService__pb2.AddUserAttributesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.deleteUserAttributes = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteUserAttributes', request_serializer=IamAdminService__pb2.DeleteUserAttributeRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.addRolesToUsers = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addRolesToUsers', request_serializer=IamAdminService__pb2.AddUserRolesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.deleteUser = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteUser', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.deleteRolesFromUser = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteRolesFromUser', request_serializer=IamAdminService__pb2.DeleteUserRolesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.updateUserProfile = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/updateUserProfile', request_serializer=IamAdminService__pb2.UpdateUserProfileRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.getOperationMetadata = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/getOperationMetadata', request_serializer=IamAdminService__pb2.GetOperationsMetadataRequest.SerializeToString, response_deserializer=IamAdminService__pb2.GetOperationsMetadataResponse.FromString, ) self.configureEventPersistence = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/configureEventPersistence', request_serializer=IamAdminService__pb2.EventPersistenceRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.createGroups = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/createGroups', request_serializer=IamAdminService__pb2.GroupsRequest.SerializeToString, response_deserializer=IamAdminService__pb2.GroupsResponse.FromString, ) self.updateGroup = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/updateGroup', request_serializer=IamAdminService__pb2.GroupRequest.SerializeToString, response_deserializer=IamAdminService__pb2.GroupRepresentation.FromString, ) self.deleteGroup = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteGroup', request_serializer=IamAdminService__pb2.GroupRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.findGroup = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/findGroup', request_serializer=IamAdminService__pb2.GroupRequest.SerializeToString, response_deserializer=IamAdminService__pb2.GroupRepresentation.FromString, ) self.getAllGroups = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/getAllGroups', request_serializer=IamAdminService__pb2.GroupRequest.SerializeToString, response_deserializer=IamAdminService__pb2.GroupsResponse.FromString, ) self.addUserToGroup = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addUserToGroup', request_serializer=IamAdminService__pb2.UserGroupMappingRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.removeUserFromGroup = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/removeUserFromGroup', request_serializer=IamAdminService__pb2.UserGroupMappingRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.createAgentClient = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/createAgentClient', request_serializer=IamAdminService__pb2.AgentClientMetadata.SerializeToString, response_deserializer=IamAdminService__pb2.SetUpTenantResponse.FromString, ) self.configureAgentClient = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/configureAgentClient', request_serializer=IamAdminService__pb2.AgentClientMetadata.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.isAgentNameAvailable = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/isAgentNameAvailable', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.registerAndEnableAgent = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/registerAndEnableAgent', request_serializer=IamAdminService__pb2.RegisterUserRequest.SerializeToString, response_deserializer=IamAdminService__pb2.RegisterUserResponse.FromString, ) self.deleteAgent = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteAgent', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.getAgent = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/getAgent', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.Agent.FromString, ) self.disableAgent = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/disableAgent', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.enableAgent = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/enableAgent', request_serializer=IamAdminService__pb2.UserSearchRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.addAgentAttributes = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addAgentAttributes', request_serializer=IamAdminService__pb2.AddUserAttributesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.deleteAgentAttributes = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteAgentAttributes', request_serializer=IamAdminService__pb2.DeleteUserAttributeRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.addRolesToAgent = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/addRolesToAgent', request_serializer=IamAdminService__pb2.AddUserRolesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.deleteAgentRoles = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/deleteAgentRoles', request_serializer=IamAdminService__pb2.DeleteUserRolesRequest.SerializeToString, response_deserializer=IamAdminService__pb2.OperationStatus.FromString, ) self.getAllResources = channel.unary_unary( '/org.apache.custos.iam.service.IamAdminService/getAllResources', request_serializer=IamAdminService__pb2.GetAllResources.SerializeToString, response_deserializer=IamAdminService__pb2.GetAllResourcesResponse.FromString, ) class IamAdminServiceServicer(object): """Missing associated documentation comment in .proto file.""" def setUPTenant(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def updateTenant(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteTenant(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def configureFederatedIDP(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addRolesToTenant(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addProtocolMapper(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def getRolesOfTenant(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteRole(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def isUsernameAvailable(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def registerUser(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def enableUser(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def disableUser(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def isUserEnabled(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def isUserExist(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def getUser(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def findUsers(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def resetPassword(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def grantAdminPrivilege(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def removeAdminPrivilege(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def registerAndEnableUsers(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addUserAttributes(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteUserAttributes(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addRolesToUsers(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteUser(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteRolesFromUser(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def updateUserProfile(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def getOperationMetadata(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def configureEventPersistence(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def createGroups(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def updateGroup(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteGroup(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def findGroup(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def getAllGroups(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addUserToGroup(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def removeUserFromGroup(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def createAgentClient(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def configureAgentClient(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def isAgentNameAvailable(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def registerAndEnableAgent(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteAgent(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def getAgent(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def disableAgent(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def enableAgent(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addAgentAttributes(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteAgentAttributes(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def addRolesToAgent(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def deleteAgentRoles(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def getAllResources(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_IamAdminServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'setUPTenant': grpc.unary_unary_rpc_method_handler( servicer.setUPTenant, request_deserializer=IamAdminService__pb2.SetUpTenantRequest.FromString, response_serializer=IamAdminService__pb2.SetUpTenantResponse.SerializeToString, ), 'updateTenant': grpc.unary_unary_rpc_method_handler( servicer.updateTenant, request_deserializer=IamAdminService__pb2.SetUpTenantRequest.FromString, response_serializer=IamAdminService__pb2.SetUpTenantResponse.SerializeToString, ), 'deleteTenant': grpc.unary_unary_rpc_method_handler( servicer.deleteTenant, request_deserializer=IamAdminService__pb2.DeleteTenantRequest.FromString, response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, ), 'configureFederatedIDP': grpc.unary_unary_rpc_method_handler( servicer.configureFederatedIDP, request_deserializer=IamAdminService__pb2.ConfigureFederateIDPRequest.FromString, response_serializer=IamAdminService__pb2.FederateIDPResponse.SerializeToString, ), 'addRolesToTenant': grpc.unary_unary_rpc_method_handler( servicer.addRolesToTenant, request_deserializer=IamAdminService__pb2.AddRolesRequest.FromString, response_serializer=IamAdminService__pb2.AllRoles.SerializeToString, ), 'addProtocolMapper': grpc.unary_unary_rpc_method_handler( servicer.addProtocolMapper, request_deserializer=IamAdminService__pb2.AddProtocolMapperRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'getRolesOfTenant': grpc.unary_unary_rpc_method_handler( servicer.getRolesOfTenant, request_deserializer=IamAdminService__pb2.GetRolesRequest.FromString, response_serializer=IamAdminService__pb2.AllRoles.SerializeToString, ), 'deleteRole': grpc.unary_unary_rpc_method_handler( servicer.deleteRole, request_deserializer=IamAdminService__pb2.DeleteRoleRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'isUsernameAvailable': grpc.unary_unary_rpc_method_handler( servicer.isUsernameAvailable, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'registerUser': grpc.unary_unary_rpc_method_handler( servicer.registerUser, request_deserializer=IamAdminService__pb2.RegisterUserRequest.FromString, response_serializer=IamAdminService__pb2.RegisterUserResponse.SerializeToString, ), 'enableUser': grpc.unary_unary_rpc_method_handler( servicer.enableUser, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.UserRepresentation.SerializeToString, ), 'disableUser': grpc.unary_unary_rpc_method_handler( servicer.disableUser, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.UserRepresentation.SerializeToString, ), 'isUserEnabled': grpc.unary_unary_rpc_method_handler( servicer.isUserEnabled, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'isUserExist': grpc.unary_unary_rpc_method_handler( servicer.isUserExist, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.CheckingResponse.SerializeToString, ), 'getUser': grpc.unary_unary_rpc_method_handler( servicer.getUser, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.UserRepresentation.SerializeToString, ), 'findUsers': grpc.unary_unary_rpc_method_handler( servicer.findUsers, request_deserializer=IamAdminService__pb2.FindUsersRequest.FromString, response_serializer=IamAdminService__pb2.FindUsersResponse.SerializeToString, ), 'resetPassword': grpc.unary_unary_rpc_method_handler( servicer.resetPassword, request_deserializer=IamAdminService__pb2.ResetUserPassword.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'grantAdminPrivilege': grpc.unary_unary_rpc_method_handler( servicer.grantAdminPrivilege, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'removeAdminPrivilege': grpc.unary_unary_rpc_method_handler( servicer.removeAdminPrivilege, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'registerAndEnableUsers': grpc.unary_unary_rpc_method_handler( servicer.registerAndEnableUsers, request_deserializer=IamAdminService__pb2.RegisterUsersRequest.FromString, response_serializer=IamAdminService__pb2.RegisterUsersResponse.SerializeToString, ), 'addUserAttributes': grpc.unary_unary_rpc_method_handler( servicer.addUserAttributes, request_deserializer=IamAdminService__pb2.AddUserAttributesRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'deleteUserAttributes': grpc.unary_unary_rpc_method_handler( servicer.deleteUserAttributes, request_deserializer=IamAdminService__pb2.DeleteUserAttributeRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'addRolesToUsers': grpc.unary_unary_rpc_method_handler( servicer.addRolesToUsers, request_deserializer=IamAdminService__pb2.AddUserRolesRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'deleteUser': grpc.unary_unary_rpc_method_handler( servicer.deleteUser, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'deleteRolesFromUser': grpc.unary_unary_rpc_method_handler( servicer.deleteRolesFromUser, request_deserializer=IamAdminService__pb2.DeleteUserRolesRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'updateUserProfile': grpc.unary_unary_rpc_method_handler( servicer.updateUserProfile, request_deserializer=IamAdminService__pb2.UpdateUserProfileRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'getOperationMetadata': grpc.unary_unary_rpc_method_handler( servicer.getOperationMetadata, request_deserializer=IamAdminService__pb2.GetOperationsMetadataRequest.FromString, response_serializer=IamAdminService__pb2.GetOperationsMetadataResponse.SerializeToString, ), 'configureEventPersistence': grpc.unary_unary_rpc_method_handler( servicer.configureEventPersistence, request_deserializer=IamAdminService__pb2.EventPersistenceRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'createGroups': grpc.unary_unary_rpc_method_handler( servicer.createGroups, request_deserializer=IamAdminService__pb2.GroupsRequest.FromString, response_serializer=IamAdminService__pb2.GroupsResponse.SerializeToString, ), 'updateGroup': grpc.unary_unary_rpc_method_handler( servicer.updateGroup, request_deserializer=IamAdminService__pb2.GroupRequest.FromString, response_serializer=IamAdminService__pb2.GroupRepresentation.SerializeToString, ), 'deleteGroup': grpc.unary_unary_rpc_method_handler( servicer.deleteGroup, request_deserializer=IamAdminService__pb2.GroupRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'findGroup': grpc.unary_unary_rpc_method_handler( servicer.findGroup, request_deserializer=IamAdminService__pb2.GroupRequest.FromString, response_serializer=IamAdminService__pb2.GroupRepresentation.SerializeToString, ), 'getAllGroups': grpc.unary_unary_rpc_method_handler( servicer.getAllGroups, request_deserializer=IamAdminService__pb2.GroupRequest.FromString, response_serializer=IamAdminService__pb2.GroupsResponse.SerializeToString, ), 'addUserToGroup': grpc.unary_unary_rpc_method_handler( servicer.addUserToGroup, request_deserializer=IamAdminService__pb2.UserGroupMappingRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'removeUserFromGroup': grpc.unary_unary_rpc_method_handler( servicer.removeUserFromGroup, request_deserializer=IamAdminService__pb2.UserGroupMappingRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'createAgentClient': grpc.unary_unary_rpc_method_handler( servicer.createAgentClient, request_deserializer=IamAdminService__pb2.AgentClientMetadata.FromString, response_serializer=IamAdminService__pb2.SetUpTenantResponse.SerializeToString, ), 'configureAgentClient': grpc.unary_unary_rpc_method_handler( servicer.configureAgentClient, request_deserializer=IamAdminService__pb2.AgentClientMetadata.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'isAgentNameAvailable': grpc.unary_unary_rpc_method_handler( servicer.isAgentNameAvailable, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'registerAndEnableAgent': grpc.unary_unary_rpc_method_handler( servicer.registerAndEnableAgent, request_deserializer=IamAdminService__pb2.RegisterUserRequest.FromString, response_serializer=IamAdminService__pb2.RegisterUserResponse.SerializeToString, ), 'deleteAgent': grpc.unary_unary_rpc_method_handler( servicer.deleteAgent, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'getAgent': grpc.unary_unary_rpc_method_handler( servicer.getAgent, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.Agent.SerializeToString, ), 'disableAgent': grpc.unary_unary_rpc_method_handler( servicer.disableAgent, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'enableAgent': grpc.unary_unary_rpc_method_handler( servicer.enableAgent, request_deserializer=IamAdminService__pb2.UserSearchRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'addAgentAttributes': grpc.unary_unary_rpc_method_handler( servicer.addAgentAttributes, request_deserializer=IamAdminService__pb2.AddUserAttributesRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'deleteAgentAttributes': grpc.unary_unary_rpc_method_handler( servicer.deleteAgentAttributes, request_deserializer=IamAdminService__pb2.DeleteUserAttributeRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'addRolesToAgent': grpc.unary_unary_rpc_method_handler( servicer.addRolesToAgent, request_deserializer=IamAdminService__pb2.AddUserRolesRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'deleteAgentRoles': grpc.unary_unary_rpc_method_handler( servicer.deleteAgentRoles, request_deserializer=IamAdminService__pb2.DeleteUserRolesRequest.FromString, response_serializer=IamAdminService__pb2.OperationStatus.SerializeToString, ), 'getAllResources': grpc.unary_unary_rpc_method_handler( servicer.getAllResources, request_deserializer=IamAdminService__pb2.GetAllResources.FromString, response_serializer=IamAdminService__pb2.GetAllResourcesResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'org.apache.custos.iam.service.IamAdminService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class IamAdminService(object): """Missing associated documentation comment in .proto file.""" @staticmethod def setUPTenant(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/setUPTenant', IamAdminService__pb2.SetUpTenantRequest.SerializeToString, IamAdminService__pb2.SetUpTenantResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def updateTenant(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/updateTenant', IamAdminService__pb2.SetUpTenantRequest.SerializeToString, IamAdminService__pb2.SetUpTenantResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteTenant(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteTenant', IamAdminService__pb2.DeleteTenantRequest.SerializeToString, google_dot_protobuf_dot_empty__pb2.Empty.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def configureFederatedIDP(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/configureFederatedIDP', IamAdminService__pb2.ConfigureFederateIDPRequest.SerializeToString, IamAdminService__pb2.FederateIDPResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addRolesToTenant(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addRolesToTenant', IamAdminService__pb2.AddRolesRequest.SerializeToString, IamAdminService__pb2.AllRoles.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addProtocolMapper(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addProtocolMapper', IamAdminService__pb2.AddProtocolMapperRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def getRolesOfTenant(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/getRolesOfTenant', IamAdminService__pb2.GetRolesRequest.SerializeToString, IamAdminService__pb2.AllRoles.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteRole(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteRole', IamAdminService__pb2.DeleteRoleRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def isUsernameAvailable(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/isUsernameAvailable', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def registerUser(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/registerUser', IamAdminService__pb2.RegisterUserRequest.SerializeToString, IamAdminService__pb2.RegisterUserResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def enableUser(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/enableUser', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.UserRepresentation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def disableUser(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/disableUser', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.UserRepresentation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def isUserEnabled(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/isUserEnabled', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def isUserExist(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/isUserExist', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.CheckingResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def getUser(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/getUser', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.UserRepresentation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def findUsers(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/findUsers', IamAdminService__pb2.FindUsersRequest.SerializeToString, IamAdminService__pb2.FindUsersResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def resetPassword(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/resetPassword', IamAdminService__pb2.ResetUserPassword.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def grantAdminPrivilege(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/grantAdminPrivilege', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def removeAdminPrivilege(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/removeAdminPrivilege', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def registerAndEnableUsers(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/registerAndEnableUsers', IamAdminService__pb2.RegisterUsersRequest.SerializeToString, IamAdminService__pb2.RegisterUsersResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addUserAttributes(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addUserAttributes', IamAdminService__pb2.AddUserAttributesRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteUserAttributes(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteUserAttributes', IamAdminService__pb2.DeleteUserAttributeRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addRolesToUsers(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addRolesToUsers', IamAdminService__pb2.AddUserRolesRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteUser(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteUser', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteRolesFromUser(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteRolesFromUser', IamAdminService__pb2.DeleteUserRolesRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def updateUserProfile(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/updateUserProfile', IamAdminService__pb2.UpdateUserProfileRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def getOperationMetadata(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/getOperationMetadata', IamAdminService__pb2.GetOperationsMetadataRequest.SerializeToString, IamAdminService__pb2.GetOperationsMetadataResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def configureEventPersistence(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/configureEventPersistence', IamAdminService__pb2.EventPersistenceRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def createGroups(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/createGroups', IamAdminService__pb2.GroupsRequest.SerializeToString, IamAdminService__pb2.GroupsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def updateGroup(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/updateGroup', IamAdminService__pb2.GroupRequest.SerializeToString, IamAdminService__pb2.GroupRepresentation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteGroup(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteGroup', IamAdminService__pb2.GroupRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def findGroup(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/findGroup', IamAdminService__pb2.GroupRequest.SerializeToString, IamAdminService__pb2.GroupRepresentation.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def getAllGroups(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/getAllGroups', IamAdminService__pb2.GroupRequest.SerializeToString, IamAdminService__pb2.GroupsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addUserToGroup(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addUserToGroup', IamAdminService__pb2.UserGroupMappingRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def removeUserFromGroup(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/removeUserFromGroup', IamAdminService__pb2.UserGroupMappingRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def createAgentClient(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/createAgentClient', IamAdminService__pb2.AgentClientMetadata.SerializeToString, IamAdminService__pb2.SetUpTenantResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def configureAgentClient(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/configureAgentClient', IamAdminService__pb2.AgentClientMetadata.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def isAgentNameAvailable(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/isAgentNameAvailable', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def registerAndEnableAgent(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/registerAndEnableAgent', IamAdminService__pb2.RegisterUserRequest.SerializeToString, IamAdminService__pb2.RegisterUserResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteAgent(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteAgent', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def getAgent(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/getAgent', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.Agent.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def disableAgent(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/disableAgent', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def enableAgent(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/enableAgent', IamAdminService__pb2.UserSearchRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addAgentAttributes(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addAgentAttributes', IamAdminService__pb2.AddUserAttributesRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteAgentAttributes(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteAgentAttributes', IamAdminService__pb2.DeleteUserAttributeRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def addRolesToAgent(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/addRolesToAgent', IamAdminService__pb2.AddUserRolesRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def deleteAgentRoles(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/deleteAgentRoles', IamAdminService__pb2.DeleteUserRolesRequest.SerializeToString, IamAdminService__pb2.OperationStatus.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def getAllResources(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/org.apache.custos.iam.service.IamAdminService/getAllResources', IamAdminService__pb2.GetAllResources.SerializeToString, IamAdminService__pb2.GetAllResourcesResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

49.652812

137

0.672223

6,593

81,232

8.043228

0.036099

0.097418

0.027438

0.032925

0.854438

0.844915

0.838466

0.762413

0.745328

0.691584

0

0.004889

0.254629

81,232

1,635

138

49.68318

0.870929

0.048072

0

0.681349

0

0.115803

0.079253

0

1

0.067447

false

0.006882

0.002065

0.033035

0.104611

0

null

0

1

0

null

0

6

8a349574301984ce9f26ae76ba3136ef739bf63a

174

py

Python

bitwise/gate/__init__.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

bitwise/gate/__init__.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

bitwise/gate/__init__.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

from .AND import * from .BUF import * from .IMPLY import * from .NAND import * from .NOR import * from .NOT import * from .OR import * from .XNOR import * from .XOR import *

17.4

20

0.689655

27

174

4.444444

0.407407

0.666667

0

0.206897

174

9

21

19.333333

0.869565

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

8a51ac6af68b2d09ef38a09f207804fb1a26d82f

32,894

py

Python

src_fc_rl_group/model/training.py

icdm2021submission/Continual-Neural-Network-Model-Retraining

7a84f211c7750b862fa5e31293d22d4d0dabed23

[ "MIT" ]

null

src_fc_rl_group/model/training.py

icdm2021submission/Continual-Neural-Network-Model-Retraining

7a84f211c7750b862fa5e31293d22d4d0dabed23

[ "MIT" ]

null

src_fc_rl_group/model/training.py

icdm2021submission/Continual-Neural-Network-Model-Retraining

7a84f211c7750b862fa5e31293d22d4d0dabed23

[ "MIT" ]

null

"""Tensorflow utility functions for training""" # tensorboard --logdir=experiments/base_model/ # tensorboard --logdir=experiments/base_model/train_summaries # tensorboard --logdir=experiments/base_model/eval_summaries import logging import os from tqdm import trange import tensorflow as tf from tensorflow.python.tools.inspect_checkpoint import print_tensors_in_checkpoint_file from model.utils import save_dict_to_json, load_best_metric, get_expaned_metrics, save_vars_to_file from model.evaluation import evaluate_sess, evaluate_on_train_sess, take_train_samples_sess, evaluate_sess_sample from model.mabp import rl, rl_weights import tensorflow.contrib.slim as slim import numpy as np def train_initial_sess(sess, model_spec, num_steps, writer, params, \ old_index, numbers_of_selections, sums_of_reward, arm_weights, max_upper_bound, old_loss_val): """Train the model on `num_steps` batches Args: sess: (tf.Session) current session model_spec: (dict) contains the graph operations or nodes needed for training num_steps: (int) train for this number of batches writer: (tf.summary.FileWriter) writer for summaries params: (Params) hyperparameters """ # Get relevant graph operations or nodes needed for training loss = model_spec['loss'] # train_op = model_spec['train_op'] update_metrics = model_spec['update_metrics'] metrics = model_spec['metrics'] summary_op = model_spec['summary_op'] # reward = model_spec['reward'] global_step = tf.train.get_global_step() # Load the training dataset into the pipeline and initialize the metrics local variables # sess.run(model_spec['iterator_init_op']) sess.run(model_spec['metrics_init_op']) # Use tqdm for progress bar t = trange(int(num_steps)) epoch_loss = [] index = 0 # for i in t: # # Evaluate summaries for tensorboard only once in a while # if i == params.save_summary_steps - 1: # # if i % params.save_summary_steps == 0: # # Perform a mini-batch update # _, _, loss_val, summ, global_step_val = sess.run([train_op, update_metrics, loss, # summary_op, global_step]) # # Write summaries for tensorboard # writer.add_summary(summ, global_step_val) # else: # _, _, loss_val = sess.run([train_op, update_metrics, loss]) # # Log the loss in the tqdm progress bar # # t.set_postfix(loss='{:05.3f}'.format(loss_val)) # epoch_loss.append(loss_val) for i in t: # Evaluate summaries for tensorboard only once in a while if i == params.save_summary_steps - 1: # if i % params.save_summary_steps == 0: # Perform a mini-batch update _, loss_val, summ, global_step_val = sess.run([update_metrics, loss, summary_op, global_step]) # Write summaries for tensorboard writer.add_summary(summ, global_step_val) else: _, loss_val = sess.run([update_metrics, loss]) # Log the loss in the tqdm progress bar # t.set_postfix(loss='{:05.3f}'.format(loss_val)) epoch_loss.append(loss_val) ################################################################################# if 'retrain' in params.loss_fn: # calculate the rewards of the (10) clusters --> pick and update the action variable global_vars = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='model/rewards') action_var=[v for v in global_vars if 'action' in v.name][0] action_var_value = sess.run([action_var]) # logging.info('****action_var at train_sess:\n {}'.format(action_var_value)) # logging.info('*****old_index is {}, loss_val is {}'.format(old_index, loss_val)) sums_of_reward[old_index] += loss_val - old_loss_val old_loss_val = loss_val index = old_index # index, numbers_of_selections, arm_weights, \ # max_upper_bound = rl_weights(params, numbers_of_selections, \ # sums_of_reward, max_upper_bound, \ # t, arm_weights) # logging.info('numbers_of_selections at i:\n {}'.format(numbers_of_selections)) # total_reward += reward # index = 2 assign_op = action_var.assign([index]) sess.run(assign_op) action_var_value = sess.run([action_var]) # logging.info('******updated action_var at train_sess:\n {}'.format(action_var_value)) ################################################################################# metrics_values = {k: v[0] for k, v in metrics.items()} metrics_val = sess.run(metrics_values) expanded_metrics_val = get_expaned_metrics(metrics_val) metrics_string = " ; ".join("{}: {:05.4f}".format(k, v) for k, v in expanded_metrics_val.items()) # logging.info("- Train metrics: " + metrics_string) # logging.info("-- Reward: \n") # logging.info(reward) return epoch_loss, index, sums_of_reward, arm_weights, max_upper_bound, old_loss_val def train_sess(sess, model_spec, num_steps, writer, params, \ old_index, numbers_of_selections, sums_of_reward, arm_weights, max_upper_bound, old_loss_val): """Train the model on `num_steps` batches Args: sess: (tf.Session) current session model_spec: (dict) contains the graph operations or nodes needed for training num_steps: (int) train for this number of batches writer: (tf.summary.FileWriter) writer for summaries params: (Params) hyperparameters """ # Get relevant graph operations or nodes needed for training gradients = model_spec['gradients'] loss = model_spec['loss'] train_op = model_spec['train_op'] update_metrics = model_spec['update_metrics'] metrics = model_spec['metrics'] summary_op = model_spec['summary_op'] # reward = model_spec['reward'] global_step = tf.train.get_global_step() # Load the training dataset into the pipeline and initialize the metrics local variables # sess.run(model_spec['iterator_init_op']) sess.run(model_spec['metrics_init_op']) # Use tqdm for progress bar t = trange(int(num_steps)) index = -1 epoch_loss = [] for i in t: # Evaluate summaries for tensorboard only once in a while if i == params.save_summary_steps - 1: # if i % params.save_summary_steps == 0: # Perform a mini-batch update _, _, loss_val, summ, global_step_val, gradients_vars = sess.run([train_op, update_metrics, loss, summary_op, global_step, gradients]) # Write summaries for tensorboard writer.add_summary(summ, global_step_val) else: _, _, loss_val, gradients_vars = sess.run([train_op, update_metrics, loss, gradients]) ################################################################################# # if params.group: # # calculate the rewards of the (10) clusters --> pick and update the action variable # global_vars = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='model/rewards') # action_var=[v for v in global_vars if 'action' in v.name][0] # action_var_value = sess.run([action_var]) # logging.info('****action_var at train_sess:\n {}'.format(action_var_value)) # # logging.info('*****old_index is {}, loss_val is {}'.format(old_index, loss_val)) # sums_of_reward[old_index] += loss_val - old_loss_val # old_loss_val = loss_val # index, numbers_of_selections, arm_weights, max_upper_bound = rl(params, numbers_of_selections, sums_of_reward, max_upper_bound, int(num_steps), arm_weights) # # logging.info('numbers_of_selections at i:\n {}'.format(numbers_of_selections)) # # total_reward += reward # # index = 2 # assign_op = action_var.assign([index]) # sess.run(assign_op) # action_var_value = sess.run([action_var]) # logging.info('******updated action_var at train_sess:\n {}'.format(action_var_value)) ##############################jk ################################################### # Log the loss in the tqdm progress bar # t.set_postfix(loss='{:05.3f}'.format(loss_val)) loss_val = 0 for g in gradients_vars: loss_val += np.sum(np.square(g)) epoch_loss.append(loss_val) # logging.info(gradients_vars) # ################################################################################# if 'retrain' in params.loss_fn: # calculate the rewards of the (10) clusters --> pick and update the action variable global_vars = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='model/rewards') action_var=[v for v in global_vars if 'action' in v.name][0] action_var_value = sess.run([action_var]) logging.info('****action_var at train_sess:\n {}'.format(action_var_value)) # logging.info('*****old_index is {}, loss_val is {}'.format(old_index, loss_val)) ################################CHANGED TO L2-norm Gradient######################## # reward = loss_val - old_loss_val reward = loss_val sums_of_reward[old_index] = reward # logging.info('--------- mini-batch reward:{}'.format(reward)) # sums_of_reward[old_index] += loss_val - old_loss_val old_loss_val = loss_val index, numbers_of_selections, arm_weights, max_upper_bound = rl_weights(params, numbers_of_selections, sums_of_reward, max_upper_bound, int(num_steps), arm_weights) # logging.info('numbers_of_selections at i:\n {}'.format(numbers_of_selections)) # total_reward += reward # index = 2 if index == -1: index = params.num_clusters - 1 assign_op = action_var.assign([index]) sess.run(assign_op) action_var_value = sess.run([action_var]) logging.info('******updated action_var at train_sess:\n {}'.format(action_var_value)) # ################################################################################# metrics_values = {k: v[0] for k, v in metrics.items()} metrics_val = sess.run(metrics_values) expanded_metrics_val = get_expaned_metrics(metrics_val) metrics_string = " ; ".join("{}: {:05.4f}".format(k, v) for k, v in expanded_metrics_val.items()) logging.info("- Train metrics: " + metrics_string) # logging.info("-- Reward: \n") # logging.info(reward) return epoch_loss, index, numbers_of_selections, sums_of_reward, arm_weights, max_upper_bound, old_loss_val def model_summary(): model_vars = tf.trainable_variables() slim.model_analyzer.analyze_vars(model_vars, print_info=True) def isSavingWeights(eval_metrics, best_eval_metrics): for i in range(len(eval_metrics)): if eval_metrics[i] > best_eval_metrics[i]: return True elif eval_metrics[i] < best_eval_metrics[i]: return False else: continue return False def get_pretrained_include(params): pretrained_include = ['model/cnn'] if not params.use_kfac: pretrained_include.append('model/c_cnn') if not params.collect and params.loss_fn != 'cnn' and params.loss_fn != 'retrain_regu_mine3': pretrained_include.append('model/mask') return pretrained_include def evaluate_on_train(eval_model_spec, model_dir, params, restore_from, global_epoch=0): """Train the model and evaluate every epoch. Args: train_model_spec: (dict) contains the graph operations or nodes needed for training eval_model_spec: (dict) contains the graph operations or nodes needed for evaluation model_dir: (string) directory containing config, weights and log params: (Params) contains hyperparameters of the model. Must define: num_epochs, train_size, batch_size, eval_size, save_summary_steps restore_from: (string) directory or file containing weights to restore the graph """ # Initialize tf.Saver instances to save weights during training last_saver = tf.train.Saver() # will keep last 5 epochs best_saver = tf.train.Saver(max_to_keep=1) # only keep 1 best checkpoint (best on eval) begin_at_epoch = 0 with tf.Session() as sess: # Initialize model variables sess.run(eval_model_spec['variable_init_op']) best_json_path = os.path.join(model_dir, "metrics_eval_best_weights.json") # Reload weights from directory if specified # restor from the previous learner if restore_from is not None: save_path = os.path.join(model_dir, restore_from) if os.path.isdir(save_path): save_path = tf.train.latest_checkpoint(save_path) begin_at_epoch = int(save_path.split('-')[-1]) global_epoch = begin_at_epoch + 1 logging.info("Restoring parameters from {}".format(save_path)) # last_saver = tf.train.import_meta_graph(save_path+".meta") pretrained_include = get_pretrained_include(params) pretrained_vars = tf.contrib.framework.get_variables_to_restore(include=pretrained_include) pretrained_saver = tf.train.Saver(pretrained_vars, name="pretrained_saver") pretrained_saver.restore(sess, save_path) model_summary() best_saver = tf.train.Saver(max_to_keep=1) # Run one epoch logging.info("Epoch {}/{}".format(begin_at_epoch + 1, \ begin_at_epoch + 1)) # Compute number of batches in one epoch (one full pass over the training set) # Evaluate for one epoch on validation set num_steps = (params.train_size + params.batch_size - 1) // params.batch_size metrics = evaluate_on_train_sess(sess, eval_model_spec, num_steps, params) # loss_evaluate_on_train = sess.run(eval_model_spec['metrics']['loss']) # logging.info('loss_evaluate_on_train') # print(loss_evaluate_on_train) if params.loss_fn == 'cnn' or params.loss_fn == 'retrain_regu': cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn' in v.name] c_cnn_vars=tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='model/c_cnn') # c_cnn_vars=[v for v in tf.trainable_variables() if 'model/c_cnn' in v.name] update_weights = [tf.assign(c, old) for (c, old) in \ zip(c_cnn_vars, cnn_vars)] sess.run(update_weights) # # Save latest eval metrics in a json file in the model directory eval_on_train_json_path = os.path.join(model_dir, "metrics_eval_on_train.json") save_dict_to_json(metrics, eval_on_train_json_path) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Found new best metric score, saving in {}".format(best_save_path)) return global_epoch def save_var(sess, name, epoch): cnn_vars = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope="model/cnn/{}".format(name))[0] cnn_vars = sess.run(cnn_vars) cnn_vars = cnn_vars.flatten().tolist() # print(cnn_vars) save_vars_to_file(cnn_vars, "./weights/corr_{}_output_{}".format(name, epoch)) def train_and_evaluate(train_model_spec, eval_model_spec, model_dir, params, restore_from=None, global_epoch=1): """Train the model and evaluate every epoch. Args: train_model_spec: (dict) contains the graph operations or nodes needed for training eval_model_spec: (dict) contains the graph operations or nodes needed for evaluation model_dir: (string) directory containing config, weights and log params: (Params) contains hyperparameters of the model. Must define: num_epochs, train_size, batch_size, eval_size, save_summary_steps restore_from: (string) directory or file containing weights to restore the graph """ # Initialize tf.Saver instances to save weights during training last_saver = tf.train.Saver() # will keep last 5 epochs best_saver = tf.train.Saver(max_to_keep=1) # only keep 1 best checkpoint (best on eval) begin_at_epoch = 0 # MAB weight sampling num_clusters = params.num_clusters#10 rewards = [0] * num_clusters weight_numbers_of_selections = [0] * num_clusters weight_sums_of_reward = [0] * num_clusters weight_arm_weights = [1] * num_clusters weight_max_upper_bound = 0 old_index = 0 old_loss_val = 0 with tf.Session() as sess: # Initialize model variables sess.run(train_model_spec['variable_init_op']) # For tensorboard (takes care of writing summaries to files) train_writer = tf.summary.FileWriter(os.path.join(model_dir, 'train_summaries'), sess.graph) eval_writer = tf.summary.FileWriter(os.path.join(model_dir, 'vali_summaries'), sess.graph) best_json_path = os.path.join(model_dir, "metrics_eval_best_weights.json") best_eval_metrics = [0.0, -float('inf')] global_epoch = 0 # Reload weights from directory if specified # restor from the previous learner if restore_from is not None: save_path = os.path.join(model_dir, restore_from) if os.path.isdir(save_path): save_path = tf.train.latest_checkpoint(save_path) begin_at_epoch = int(save_path.split('-')[-1]) global_epoch = begin_at_epoch logging.info("Restoring parameters from {}".format(save_path)) pretrained_include = get_pretrained_include(params) pretrained_vars = tf.contrib.framework.get_variables_to_restore(include=pretrained_include) pretrained_saver = tf.train.Saver(pretrained_vars, name="pretrained_saver") pretrained_saver.restore(sess, save_path) # last_best_eval_metric = load_best_metric(best_json_path) # best_eval_metrics = [last_best_eval_metric['accuracy'], -last_best_eval_metric['loss']] logging.info(best_eval_metrics) model_summary() # for each learner num_train_steps = (params.train_size + params.batch_size - 1) // params.batch_size num_train_steps = int(num_train_steps) if params.finetune: # initial rewards for all arms for i in range(num_clusters): old_index = i _, _, weight_sums_of_reward, weight_arm_weights, weight_max_upper_bound, old_loss_val = train_initial_sess(sess, train_model_spec, num_train_steps, \ train_writer, params, old_index, weight_numbers_of_selections, weight_sums_of_reward, weight_arm_weights, weight_max_upper_bound, old_loss_val) # now real rl early_stopping_count = 0 epoch_cut_off = int((begin_at_epoch + params.num_epochs) * params.epoch_cutoff) for epoch in range(begin_at_epoch, begin_at_epoch + params.num_epochs): if early_stopping_count == int(params.early_stoping_epochs): logging.info("Early stopping at epoch {}/{}".format(epoch + 1, \ begin_at_epoch + params.num_epochs)) break # Run one epoch logging.info("Epoch {}/{}".format(epoch + 1, \ begin_at_epoch + params.num_epochs)) # Compute number of batches in one epoch (one full pass over the training set) # MAB data sampling sum_loss = [0] * num_train_steps numbers_of_selections = [0] * num_train_steps # UCB specific sums_of_reward = [0] * num_train_steps arm_weights = [1] * num_train_steps # UCB specific max_upper_bound = 0 total_reward = 0 batch_loss, old_index, weight_numbers_of_selections, weight_sums_of_reward, weight_arm_weights, weight_max_upper_bound, old_loss_val = train_sess(sess, train_model_spec, num_train_steps, \ train_writer, params, old_index, weight_numbers_of_selections, weight_sums_of_reward, weight_arm_weights, weight_max_upper_bound, old_loss_val) # sum_loss = batch_loss # # sum_loss = [s+n for (s, n) in zip(batch_loss, sum_loss)] # sum_loss = [float(v) for v in sum_loss] # # logging.info('sum_loss :\n {}'.format(sum_loss)) # consk = int(params.consk) # for i in range(num_train_steps): # index, reward, numbers_of_selections, sums_of_reward, \ # max_upper_bound = rl(params, sum_loss, numbers_of_selections, \ # sums_of_reward, max_upper_bound, \ # (epoch - begin_at_epoch + 1) / consk, arm_weights) # if params.rl == 'EXP3': # arm_weights = sums_of_reward # # logging.info('numbers_of_selections at i:\n {}'.format(numbers_of_selections)) # total_reward += reward # Save weights # if epoch >= epoch_cut_off: # # cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn/weights1_1' in v.name] # # cnn_vars = tf.get_variable('model/cnn/weights1_1') # save_var(sess, 'weights1_1', epoch) # save_var(sess, 'weights1_2', epoch) # # save_var(sess, 'weights3_1', epoch) # save_var(sess, 'weights3_2', epoch) save_var(sess, 'weights1_1', epoch) save_var(sess, 'weights1_2', epoch) save_var(sess, 'weights3_2', epoch) last_save_path = os.path.join(model_dir, 'last_weights', 'after-epoch') last_saver.save(sess, last_save_path, global_step=global_epoch) # # Evaluate for one epoch on validation set num_vali_steps = (params.vali_size + params.batch_size - 1) // params.batch_size num_vali_steps = int(num_vali_steps) metrics = evaluate_sess(sess, eval_model_spec, num_vali_steps, eval_writer, params) # If best_eval, best_save_path accuracy_metric = round(metrics['accuracy'], 6) loss_metric = -round(metrics['loss'], 6) # save_batch() eval_metrics = [accuracy_metric, loss_metric] # logging.info('global_epoch: {}, best_eval_metrics: {}, \ # eval_metric: {}', global_epoch, best_eval_metrics, eval_metric) # logging.info('isSavingWeights(eval_metrics, best_eval_metrics) {}'.\ # format(isSavingWeights(eval_metrics, best_eval_metrics))) if isSavingWeights(eval_metrics, best_eval_metrics): # rest early_stopping_count early_stopping_count = 0 # and isSavingWeights best_eval_metrics = eval_metrics # Save weights if params.loss_fn == 'cnn' and not params.use_kfac: cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn' in v.name] c_cnn_vars=[v for v in tf.trainable_variables() if 'model/c_cnn' in v.name] update_weights = [tf.assign(c, old) for (c, old) in \ zip(c_cnn_vars, cnn_vars)] sess.run(update_weights) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Make a copy of cnn vars, saving in {}".format(best_save_path)) elif params.loss_fn == 'retrain_regu_mine3': # c_cnn_vars=tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='model/cnn') c_cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn' in v.name] cnn_vars=[v for v in tf.trainable_variables() if 'model/mask' in v.name] update_weights = [tf.assign(c, tf.multiply(old, c)) for (c, old) in \ zip(c_cnn_vars, cnn_vars)] sess.run(update_weights) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Updated cnn vars, saving in {}".format(best_save_path)) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Found new best metric score, saving in {}".format(best_save_path)) # Save best eval metrics in a json file in the model directory save_dict_to_json(metrics, best_json_path) else: early_stopping_count = early_stopping_count + 1 # Save latest eval metrics in a json file in the model directory last_json_path = os.path.join(model_dir, "metrics_eval_last_weights.json") save_dict_to_json(metrics, last_json_path) global_epoch += 1 # update in the end is wrong as not the best weights are copied ''' if params.loss_fn == 'cnn' and not params.use_kfac: cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn' in v.name] c_cnn_vars=[v for v in tf.trainable_variables() if 'model/c_cnn' in v.name] update_weights = [tf.assign(c, old) for (c, old) in \ zip(c_cnn_vars, cnn_vars)] sess.run(update_weights) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Make a copy of cnn vars, saving in {}".format(best_save_path)) elif params.loss_fn == 'retrain_regu_mine3': # c_cnn_vars=tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope='model/cnn') c_cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn' in v.name] cnn_vars=[v for v in tf.trainable_variables() if 'model/mask' in v.name] update_weights = [tf.assign(c, tf.multiply(old, c)) for (c, old) in \ zip(c_cnn_vars, cnn_vars)] sess.run(update_weights) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Updated cnn vars, saving in {}".format(best_save_path)) ''' begin_at_epoch = global_epoch early_stopping_count = 0 for epoch in range(begin_at_epoch, begin_at_epoch + params.num_epochs2): # if early_stopping_count == int(params.early_stoping_epochs): # logging.info("Early stopping at epoch {}/{}".format(epoch + 1, \ # begin_at_epoch + params.num_epochs)) # break # Run one epoch logging.info("Epoch {}/{}".format(epoch + 1, \ begin_at_epoch + params.num_epochs2)) # MAB data sampling sum_loss = [0] * num_train_steps numbers_of_selections = [0] * num_train_steps # UCB specific sums_of_reward = [0] * num_train_steps arm_weights = [1] * num_train_steps # UCB specific max_upper_bound = 0 total_reward = 0 batch_loss, old_index, weight_numbers_of_selections, weight_sums_of_reward, weight_arm_weights, weight_max_upper_bound, old_loss_val = train_sess(sess, train_model_spec, num_train_steps, \ train_writer, params, old_index, weight_numbers_of_selections, weight_sums_of_reward, weight_arm_weights, weight_max_upper_bound, old_loss_val) sum_loss = batch_loss # sum_loss = [s+n for (s, n) in zip(batch_loss, sum_loss)] sum_loss = [float(v) for v in sum_loss] # logging.info('sum_loss :\n {}'.format(sum_loss)) consk = int(params.consk) for i in range(num_train_steps): index, reward, numbers_of_selections, sums_of_reward, \ max_upper_bound = rl(params, sum_loss, numbers_of_selections, \ sums_of_reward, max_upper_bound, \ (epoch - begin_at_epoch + 1) / consk, arm_weights) if params.rl == 'EXP3': arm_weights = sums_of_reward # logging.info('numbers_of_selections at i:\n {}'.format(numbers_of_selections)) total_reward += reward # logging.info('len of sum_loss: {}'.format(len(sum_loss))) save_var(sess, 'weights1_1', epoch) save_var(sess, 'weights1_2', epoch) save_var(sess, 'weights3_2', epoch) # Save weights last_save_path = os.path.join(model_dir, 'last_weights', 'after-epoch') # global_epoch = int(params.num_learners) * int(params.num_epochs) + epoch + 1 last_saver.save(sess, last_save_path, global_step=global_epoch) metrics = evaluate_sess(sess, eval_model_spec, num_vali_steps, eval_writer, params) # If best_eval, best_save_path accuracy_metric = round(metrics['accuracy'], 6) loss_metric = -round(metrics['loss'], 6) # save_batch() eval_metrics = [accuracy_metric, loss_metric] # logging.info('global_epoch: {}, best_eval_metrics: {}, \ # eval_metric: {}', global_epoch, best_eval_metrics, eval_metric) if isSavingWeights(eval_metrics, best_eval_metrics): # rest early_stopping_count early_stopping_count = 0 # and isSavingWeights best_eval_metrics = eval_metrics # Save weights # trainalbe_vars = {v.name: v for v in tf.trainable_variables() if 'model' in v.name} # print(trainalbe_vars.keys()) if params.loss_fn == 'cnn' and not params.use_kfac: cnn_vars=[v for v in tf.trainable_variables() if 'model/cnn' in v.name] c_cnn_vars=[v for v in tf.trainable_variables() if 'model/c_cnn' in v.name] update_weights = [tf.assign(c, old) for (c, old) in \ zip(c_cnn_vars, cnn_vars)] sess.run(update_weights) best_save_path = os.path.join(model_dir, 'best_weights', 'after-epoch') # global_epoch = int(params.num_learners) * int(params.num_epochs) + epoch + 1 best_save_path = best_saver.save(sess, best_save_path, global_step=global_epoch) logging.info("- Found new best metric score, saving in {}".format(best_save_path)) # Save best eval metrics in a json file in the model directory save_dict_to_json(metrics, best_json_path) else: early_stopping_count = early_stopping_count + 1 # Save latest eval metrics in a json file in the model directory last_json_path = os.path.join(model_dir, "metrics_eval_last_weights.json") save_dict_to_json(metrics, last_json_path) global_epoch += 1 logging.info('train num_steps: {}'.format((params.train_size + params.batch_size - 1) // params.batch_size)) logging.info('weight_sums_of_reward: {}'.format(weight_sums_of_reward)) # logging.info('numbers_of_selections: {}'.format(numbers_of_selections)) # logging.info('numbers_of_selections:\n {}'.format(numbers_of_selections)) sorted_index = sorted(range(num_train_steps), key=lambda k: numbers_of_selections[k], reverse=True) # top_sorted_index = sorted_index[0: int(num_train_steps*params.top_ratio)+1] sample_batchs = (params.sample_size + params.batch_size - 1) // params.batch_size top_sorted_index = sorted_index[0: int(sample_batchs)+1] logging.info('len(top_sorted_index) in training: {}'.format(len(top_sorted_index))) take_train_samples_sess(sess, eval_model_spec, num_train_steps, params, top_sorted_index) return global_epoch

57.406632

200

0.627044

4,284

32,894

4.500934

0.069795

0.027954

0.035474

0.006898

0.858884

0.830723

0.816668

0.810549

0.788144

0.776268

0

0.005842

0.26102

32,894

572

201

57.506993

0.787395

0.31258

0

0.586319

0

0.068629

0.010634

0

1

0.026059

false

0

0.032573

0

0.084691

0.006515

0

null

0

1

0

null

0

6

8a5eb521d55e25a663c9c0900f53dc60c7c80f4e

23

py

Python

aidu_ps3/src/aidu_ps3/msg/__init__.py

MartienLagerweij/aidu

a9b6e5a61f20bd60a7773495ba254e1bded1d7a1

[ "MIT" ]

null

aidu_ps3/src/aidu_ps3/msg/__init__.py

MartienLagerweij/aidu

a9b6e5a61f20bd60a7773495ba254e1bded1d7a1

[ "MIT" ]

null

aidu_ps3/src/aidu_ps3/msg/__init__.py

MartienLagerweij/aidu

a9b6e5a61f20bd60a7773495ba254e1bded1d7a1

[ "MIT" ]

null

from ._Teleop import *

11.5

22

0.73913

3

23

5.333333

1

0

0.173913

23

1

23

0.842105

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

8a72f0a3e5f13e906787fa217bc7e907cfa883d3

3,002

py

Python

tools/test/test_build_script.py

an4967/RT-OCF

d65a99947d1cfc3e71492dbca54c54a141060516

[ "Apache-2.0" ]

null

tools/test/test_build_script.py

an4967/RT-OCF

d65a99947d1cfc3e71492dbca54c54a141060516

[ "Apache-2.0" ]

null

tools/test/test_build_script.py

an4967/RT-OCF

d65a99947d1cfc3e71492dbca54c54a141060516

[ "Apache-2.0" ]

null

import os from subprocess import call from tools.internal.config import IOTIVITY_RT_ROOT from tools.internal.config import IOTIVITY_RT_ROOT_TOOLS from tools.internal.config import CI_LINUX_BUILD_FILE_NAME from tools.internal.config import CI_TIZENRT_BUILD_FILE_NAME from tools.test.common import make_fail_file from tools.test.common import remove_fail_file class TestBuildScript: def setup_method(self, method): call('rm -rf ci_*.txt', shell=True) def teardown_method(self, method): call('rm -rf ci_*.txt', shell=True) def test_linux_build(self): command = '{}/build.py linux'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert not os.path.isfile(CI_LINUX_BUILD_FILE_NAME) def test_linux_build_fail(self): try: make_fail_file() command = '{}/build.py linux --ci'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 != call(command, shell=True) assert os.path.isfile(CI_LINUX_BUILD_FILE_NAME) finally: remove_fail_file() def test_linux_build_ci(self): command = '{}/build.py linux --ci'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert os.path.isfile(CI_LINUX_BUILD_FILE_NAME) def test_linux_build_rebuild(self): command = '{}/build.py linux --rebuild'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert not os.path.isfile(CI_LINUX_BUILD_FILE_NAME) def test_linux_build_rebuild_ci(self): command = '{}/build.py linux --ci --rebuild'.format( IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert os.path.isfile(CI_LINUX_BUILD_FILE_NAME) def test_tizenrt_build(self): command = '{}/build.py tizenrt'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert not os.path.isfile(CI_TIZENRT_BUILD_FILE_NAME) def test_tizenrt_build_fail(self): try: make_fail_file() command = '{}/build.py tizenrt --ci'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 != call(command, shell=True) assert os.path.isfile(CI_TIZENRT_BUILD_FILE_NAME) finally: remove_fail_file() def test_tizenrt_build_ci(self): command = '{}/build.py tizenrt --ci'.format(IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert os.path.isfile(CI_TIZENRT_BUILD_FILE_NAME) def test_tizenrt_build_rebuild(self): command = '{}/build.py tizenrt --rebuild'.format( IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert not os.path.isfile(CI_TIZENRT_BUILD_FILE_NAME) def test_tizenrt_build_rebuild_ci(self): command = '{}/build.py tizenrt --ci --rebuild'.format( IOTIVITY_RT_ROOT_TOOLS) assert 0 == call(command, shell=True) assert os.path.isfile(CI_TIZENRT_BUILD_FILE_NAME)

37.525

79

0.67988

415

3,002

4.607229

0.108434

0.062762

0.087866

0.10931

0.937238

0.857218

0.800732

0.760983

0.716004

0.686715

0

0.00427

0.219853

3,002

79

80

38

0.812126

0

0.578125

0

0.093271

0

0.3125

1

0.1875

false

0

0.125

0

0.328125

0

null

0

1

0

null

0

6

8a77966ced5c27eeedf955f9c48a5f89f515f021

435

py

Python

alibabacloud-gateway-spi/python2/alibabacloud_gateway_spi/client.py

Jerry-yz/alibabacloud-gateway

d5f3d28362b42729b3314cf266487760c3a5abe4

[ "Apache-2.0" ]

2

2021-11-30T04:14:36.000Z

2021-11-30T04:38:13.000Z

alibabacloud-gateway-spi/python2/alibabacloud_gateway_spi/client.py

Jerry-yz/alibabacloud-gateway

d5f3d28362b42729b3314cf266487760c3a5abe4

[ "Apache-2.0" ]

3

2021-12-16T03:16:38.000Z

2022-03-11T06:34:59.000Z

alibabacloud-gateway-spi/python2/alibabacloud_gateway_spi/client.py

Jerry-yz/alibabacloud-gateway

d5f3d28362b42729b3314cf266487760c3a5abe4

[ "Apache-2.0" ]

2

2021-12-16T01:47:40.000Z

2021-12-16T07:21:38.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. class Client(object): def __init__(self): pass def modify_configuration(self, context, attribute_map): raise Exception('Un-implemented') def modify_request(self, context, attribute_map): raise Exception('Un-implemented') def modify_response(self, context, attribute_map): raise Exception('Un-implemented')

29

59

0.68046

53

435

5.396226

0.584906

0.094406

0.20979

0.241259

0.587413

0.412587

0

0.002882

0.202299

435

14

60

31.071429

0.821326

0.167816

0

0.333333

1

0

0.116992

0

1

0.444444

false

0.111111

0

0.555556

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

8ab81f2724701ad37bf7f26096f7cefb879a0357

180

py

Python

nmigen/compat/genlib/__init__.py

psumesh/nmigen

7d611b8fc1d9e58853ff268ec38ff8f4131a9774

[ "BSD-2-Clause" ]

528

2020-01-28T18:21:00.000Z

2021-12-09T06:27:51.000Z

nmigen/compat/genlib/__init__.py

DX-MON/nmigen

a6a13dd612ee1c9215719c70a5aa410a8775ffdb

[ "BSD-2-Clause" ]

360

2020-01-28T18:34:30.000Z

2021-12-10T08:03:32.000Z

nmigen/compat/genlib/__init__.py

DX-MON/nmigen

a6a13dd612ee1c9215719c70a5aa410a8775ffdb

[ "BSD-2-Clause" ]

100

2020-02-06T21:55:46.000Z

2021-11-25T19:20:44.000Z

from amaranth.compat.genlib import * import warnings warnings.warn("instead of nmigen.compat.genlib, use amaranth.compat.genlib", DeprecationWarning, stacklevel=2)

25.714286

76

0.75

21

180

6.428571

0.666667

0.266667

0.296296

0

0.006623

0.161111

180

6

77

30

0.887417

0

0.327778

0.238889

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

0a48ab1b1f27be7f357023b92d236284dde1d103

18

py

Python

wpcv/clitools/__init__.py

Peiiii/wpcv

56ed5327b921c52cd666c76bc204ac9ee5e5d150

[ "MIT" ]

null

wpcv/clitools/__init__.py

Peiiii/wpcv

56ed5327b921c52cd666c76bc204ac9ee5e5d150

[ "MIT" ]

null

wpcv/clitools/__init__.py

Peiiii/wpcv

56ed5327b921c52cd666c76bc204ac9ee5e5d150

[ "MIT" ]

null

from .img import *

18

0.722222

3

18

4.333333

1

0

0.166667

18

1

18

0.866667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

6a94d955252f86bebd1a18999bcb4cf3779819be

309

py

Python

mmdet/core/__init__.py

yypurpose/mmdetection

ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c

[ "Apache-2.0" ]

null

mmdet/core/__init__.py

yypurpose/mmdetection

ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c

[ "Apache-2.0" ]

null

mmdet/core/__init__.py

yypurpose/mmdetection

ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c

[ "Apache-2.0" ]

null

from .anchor import * # noqa: F401, F403 from .bbox import * # noqa: F401, F403 from .evaluation import * # noqa: F401, F403 from .export import * # noqa: F401, F403 from .mask import * # noqa: F401, F403 from .post_processing import * # noqa: F401, F403 from .utils import * # noqa: F401, F403

38.625

51

0.660194

43

309

4.72093

0.302326

0.344828

0.482759

0.62069

0.650246

0

0.175732

0.226537

309

7

52

44.142857

0.67364

0.381877

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

6aa0023a7577e49e574919b8a1e235a658bebf18

394

py

Python

timesheet/commands/completers.py

mattpre/timesheet

99ec518df8358f19e926558233dd0c83f0be834a

[ "MIT" ]

14

2015-01-01T16:31:55.000Z

2020-06-08T07:57:56.000Z

timesheet/commands/completers.py

mattpre/timesheet

99ec518df8358f19e926558233dd0c83f0be834a

[ "MIT" ]

9

2016-08-21T17:43:52.000Z

2019-10-21T11:25:17.000Z

timesheet/commands/completers.py

mattpre/timesheet

99ec518df8358f19e926558233dd0c83f0be834a

[ "MIT" ]

4

2016-04-26T19:53:04.000Z

2021-08-03T09:46:17.000Z

from timesheet.models import Subject, Task def subject_completer(prefix, **kwargs): try: return [c for c in Subject.all_titles() if c.startswith(prefix)] except Exception as ex: return [str(ex)] def task_completer(prefix, **kwargs): try: return [c for c in Task.all_titles() if c.startswith(prefix)] except Exception as ex: return [str(ex)]

23.176471

72

0.654822

56

394

4.535714

0.428571

0.11811

0.165354

0.188976

0.748032

0.456693

0

0.238579

394

16

73

24.625

0.846667

0

0.545455

0

1

0.181818

false

0

0.090909

0

0.636364

0

null

0

1

0

1

0

null

0

1

0

6

0a7dccc3ca12b93e14bd243b1bb143546d82d6a0

40

py

Python

yolo/__init__.py

cxz1418/yolo_resnet

d53e4d178bd7984ee8dd545a7e6c98e81641a4ee

[ "MIT" ]

null

yolo/__init__.py

cxz1418/yolo_resnet

d53e4d178bd7984ee8dd545a7e6c98e81641a4ee

[ "MIT" ]

null

yolo/__init__.py

cxz1418/yolo_resnet

d53e4d178bd7984ee8dd545a7e6c98e81641a4ee

[ "MIT" ]

null

import dataset import net import solver

10

14

0.85

6

40

5.666667

0.666667

0

0.15

40

3

15

13.333333

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

0ab3a247e7205dd9b02440a455402bf53d8e4676

20

py

Python

testsuite/modulegraph-dir/pkg_b/__init__.py

xoviat/modulegraph2

766d00bdb40e5b2fe206b53a87b1bce3f9dc9c2a

[ "MIT" ]

9

2020-03-22T14:48:01.000Z

2021-05-30T12:18:12.000Z

testsuite/modulegraph-dir/pkg_b/__init__.py

xoviat/modulegraph2

766d00bdb40e5b2fe206b53a87b1bce3f9dc9c2a

[ "MIT" ]

15

2020-01-06T10:02:32.000Z

2021-05-28T12:22:44.000Z

testsuite/modulegraph-dir/pkg_b/__init__.py

ronaldoussoren/modulegraph2

b6ab1766b0098651b51083235ff8a18a5639128b

[ "MIT" ]

4

2020-05-10T18:51:41.000Z

2021-04-07T14:03:12.000Z

from pkg_c import *

10

19

0.75

4

20

3.5

1

0

0.2

20

1

20

0.875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

0ae7edb4118c23b02ceefcd4dd9630f3cfbf5964

421

py

Python

sleap/nn/data/__init__.py

preeti98/sleap

203c3a03c0c54f8dab242611d9a8d24595e98081

[ "BSD-3-Clause-Clear" ]

156

2020-05-01T18:43:43.000Z

2022-03-25T10:31:18.000Z

sleap/nn/data/__init__.py

preeti98/sleap

203c3a03c0c54f8dab242611d9a8d24595e98081

[ "BSD-3-Clause-Clear" ]

299

2020-04-20T16:37:52.000Z

2022-03-31T23:54:48.000Z

sleap/nn/data/__init__.py

preeti98/sleap

203c3a03c0c54f8dab242611d9a8d24595e98081

[ "BSD-3-Clause-Clear" ]

41

2020-05-14T15:25:21.000Z

2022-03-25T12:44:54.000Z

from sleap.nn.data import augmentation from sleap.nn.data import confidence_maps from sleap.nn.data import instance_centroids from sleap.nn.data import instance_cropping from sleap.nn.data import normalization from sleap.nn.data import pipelines from sleap.nn.data import providers from sleap.nn.data import resizing from sleap.nn.data import utils from sleap.nn.data import inference from sleap.nn.data import pipelines

35.083333

44

0.84323

69

421

5.101449

0.246377

0.28125

0.34375

0.46875

0.752841

0.335227

0

0.104513

421

11

45

38.272727

0.933687

0

0.181818

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

6

7c322e83b41838b8924d91a6e3e63fe06b54d0cc

103

py

Python

pwned/hashpass.py

nverhaaren/code-samples

2b7fd9c1098d66089fe1ba18c0e4f1ac891dd673

[ "MIT" ]

null

pwned/hashpass.py

nverhaaren/code-samples

2b7fd9c1098d66089fe1ba18c0e4f1ac891dd673

[ "MIT" ]

2

2017-08-10T02:40:57.000Z

2017-08-12T00:56:48.000Z

pwned/hashpass.py

nverhaaren/code-samples

2b7fd9c1098d66089fe1ba18c0e4f1ac891dd673

[ "MIT" ]

null

#! /usr/bin/python import hashlib, getpass print hashlib.sha1(getpass.getpass()).hexdigest().upper()

17.166667

57

0.737864

13

103

5.846154

0.769231

0

0.010638

0.087379

103

5

58

20.6

0.797872

0.165049

0

null

1

0.5

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

7c3b7e116fc9998cbc7c64d6a36e969098f64976

29

py

Python

model/__init__.py

InchSoup/HWCC2020_RS_segmentation

ed21435e61c19a700e870acaaa1dfc27e0d5683c

[ "MIT" ]

16

2020-12-25T12:46:20.000Z

2021-11-28T10:22:42.000Z

model/__init__.py

InchSoup/HWCC2020_RS_segmentation

ed21435e61c19a700e870acaaa1dfc27e0d5683c

[ "MIT" ]

1

2020-12-25T13:15:39.000Z

2020-12-25T15:24:10.000Z

model/__init__.py

InchSoup/HWCC2020_RS_segmentation

ed21435e61c19a700e870acaaa1dfc27e0d5683c

[ "MIT" ]

4

2020-12-25T13:15:33.000Z

2021-02-05T08:54:41.000Z

from .efficientunet import *

14.5

28

0.793103

3

29

7.666667

1

0

0.137931

29

1

29

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

7c49c4cea84afd5d6956bfa5b787c56659050175

177

py

Python

app/site/welcome.py

riipandi/flask-blueprint

bb4511391d9d27c0ef1017173c36864aef2441aa

[ "MIT" ]

1

2020-07-06T05:32:16.000Z

app/site/welcome.py

riipandi/flask-blueprint

bb4511391d9d27c0ef1017173c36864aef2441aa

[ "MIT" ]

null

app/site/welcome.py

riipandi/flask-blueprint

bb4511391d9d27c0ef1017173c36864aef2441aa

[ "MIT" ]

null

from flask import render_template from . import site @site.route('/', methods=['GET']) def index(): """Render template Jinja.""" return render_template('welcome.html')

22.125

42

0.689266

22

177

5.454545

0.681818

0.35

0

0.146893

177

7

43

25.285714

0.794702

0.124294

0

0.107383

0

1

0.2

true

0

0.4

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

7c7f3f118d1138d8097117a06d729d10562c8d73

17,770

py

Python

updater/config.py

luisriverag/BrightID-Node

4123a93a999ac9e73cb88ce3a485ee4c59d840bb

[ "0BSD" ]

35

2018-03-06T01:06:22.000Z

2022-02-16T08:31:30.000Z

updater/config.py

luisriverag/BrightID-Node

4123a93a999ac9e73cb88ce3a485ee4c59d840bb

[ "0BSD" ]

180

2018-02-01T07:57:18.000Z

2022-03-26T12:31:07.000Z

updater/config.py

Brightside-Social/brightside-node

8acc12d9ff5a7576e7bf764690c0a1cc6969daba

[ "0BSD" ]

10

2019-05-21T22:27:45.000Z

2021-06-23T10:16:10.000Z

import os from web3.auto import w3 VOTING_ADDRESS = os.environ['BN_UPDATER_SEED_VOTING_ADDRESS'] VOTING_ABI = '[{"constant": true, "inputs": [], "name": "hasInitialized", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [{"name": "_script", "type": "bytes"}], "name": "getEVMScriptExecutor", "outputs": [{"name": "", "type": "address"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "getRecoveryVault", "outputs": [{"name": "", "type": "address"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "MODIFY_QUORUM_ROLE", "outputs": [{"name": "", "type": "bytes32"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "MODIFY_SUPPORT_ROLE", "outputs": [{"name": "", "type": "bytes32"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [{"name": "token", "type": "address"}], "name": "allowRecoverability", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "appId", "outputs": [{"name": "", "type": "bytes32"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "getInitializationBlock", "outputs": [{"name": "", "type": "uint256"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": false, "inputs": [{"name": "_token", "type": "address"}], "name": "transferToVault", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": true, "inputs": [{"name": "_sender", "type": "address"}, {"name": "_role", "type": "bytes32"}, {"name": "_params", "type": "uint256[]"}], "name": "canPerform", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "getEVMScriptRegistry", "outputs": [{"name": "", "type": "address"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "voteTime", "outputs": [{"name": "", "type": "uint64"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "CREATE_VOTES_ROLE", "outputs": [{"name": "", "type": "bytes32"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "kernel", "outputs": [{"name": "", "type": "address"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "minAcceptQuorumPct", "outputs": [{"name": "", "type": "uint64"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "isPetrified", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "votesLength", "outputs": [{"name": "", "type": "uint256"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "supportRequiredPct", "outputs": [{"name": "", "type": "uint64"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "token", "outputs": [{"name": "", "type": "address"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [], "name": "PCT_BASE", "outputs": [{"name": "", "type": "uint64"}], "payable": false, "stateMutability": "view", "type": "function"}, {"anonymous": false, "inputs": [{"indexed": true, "name": "voteId", "type": "uint256"}, {"indexed": true, "name": "creator", "type": "address"}, {"indexed": false, "name": "metadata", "type": "string"}], "name": "StartVote", "type": "event"}, {"anonymous": false, "inputs": [{"indexed": true, "name": "voteId", "type": "uint256"}, {"indexed": true, "name": "voter", "type": "address"}, {"indexed": false, "name": "supports", "type": "bool"}, {"indexed": false, "name": "stake", "type": "uint256"}], "name": "CastVote", "type": "event"}, {"anonymous": false, "inputs": [{"indexed": true, "name": "voteId", "type": "uint256"}], "name": "ExecuteVote", "type": "event"}, {"anonymous": false, "inputs": [{"indexed": false, "name": "supportRequiredPct", "type": "uint64"}], "name": "ChangeSupportRequired", "type": "event"}, {"anonymous": false, "inputs": [{"indexed": false, "name": "minAcceptQuorumPct", "type": "uint64"}], "name": "ChangeMinQuorum", "type": "event"}, {"anonymous": false, "inputs": [{"indexed": true, "name": "executor", "type": "address"}, {"indexed": false, "name": "script", "type": "bytes"}, {"indexed": false, "name": "input", "type": "bytes"}, {"indexed": false, "name": "returnData", "type": "bytes"}], "name": "ScriptResult", "type": "event"}, {"anonymous": false, "inputs": [{"indexed": true, "name": "vault", "type": "address"}, {"indexed": true, "name": "token", "type": "address"}, {"indexed": false, "name": "amount", "type": "uint256"}], "name": "RecoverToVault", "type": "event"}, {"constant": false, "inputs": [{"name": "_token", "type": "address"}, {"name": "_supportRequiredPct", "type": "uint64"}, {"name": "_minAcceptQuorumPct", "type": "uint64"}, {"name": "_voteTime", "type": "uint64"}], "name": "initialize", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": false, "inputs": [{"name": "_supportRequiredPct", "type": "uint64"}], "name": "changeSupportRequiredPct", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": false, "inputs": [{"name": "_minAcceptQuorumPct", "type": "uint64"}], "name": "changeMinAcceptQuorumPct", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": false, "inputs": [{"name": "_executionScript", "type": "bytes"}, {"name": "_metadata", "type": "string"}], "name": "newVote", "outputs": [{"name": "voteId", "type": "uint256"}], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": false, "inputs": [{"name": "_executionScript", "type": "bytes"}, {"name": "_metadata", "type": "string"}, {"name": "_castVote", "type": "bool"}, {"name": "_executesIfDecided", "type": "bool"}], "name": "newVote", "outputs": [{"name": "voteId", "type": "uint256"}], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": false, "inputs": [{"name": "_voteId", "type": "uint256"}, {"name": "_supports", "type": "bool"}, {"name": "_executesIfDecided", "type": "bool"}], "name": "vote", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": false, "inputs": [{"name": "_voteId", "type": "uint256"}], "name": "executeVote", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": true, "inputs": [], "name": "isForwarder", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "pure", "type": "function"}, {"constant": false, "inputs": [{"name": "_evmScript", "type": "bytes"}], "name": "forward", "outputs": [], "payable": false, "stateMutability": "nonpayable", "type": "function"}, {"constant": true, "inputs": [{"name": "_sender", "type": "address"}, {"name": "", "type": "bytes"}], "name": "canForward", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [{"name": "_voteId", "type": "uint256"}], "name": "canExecute", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [{"name": "_voteId", "type": "uint256"}, {"name": "_voter", "type": "address"}], "name": "canVote", "outputs": [{"name": "", "type": "bool"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [{"name": "_voteId", "type": "uint256"}], "name": "getVote", "outputs": [{"name": "open", "type": "bool"}, {"name": "executed", "type": "bool"}, {"name": "startDate", "type": "uint64"}, {"name": "snapshotBlock", "type": "uint64"}, {"name": "supportRequired", "type": "uint64"}, {"name": "minAcceptQuorum", "type": "uint64"}, {"name": "yea", "type": "uint256"}, {"name": "nay", "type": "uint256"}, {"name": "votingPower", "type": "uint256"}, {"name": "script", "type": "bytes"}], "payable": false, "stateMutability": "view", "type": "function"}, {"constant": true, "inputs": [{"name": "_voteId", "type": "uint256"}, {"name": "_voter", "type": "address"}], "name": "getVoterState", "outputs": [{"name": "", "type": "uint8"}], "payable": false, "stateMutability": "view", "type": "function"}]' MAINNET_SP_ADDRESS = w3.toChecksumAddress(os.environ['BN_UPDATER_SP_ADDRESS_MAINNET']) IDCHAIN_SP_ADDRESS = w3.toChecksumAddress(os.environ['BN_UPDATER_SP_ADDRESS_IDCHAIN']) SP_ABI = '[{"inputs": [], "constant": true, "name": "name", "outputs": [{"type": "string", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "spender"}, {"type": "uint256", "name": "value"}], "constant": false, "name": "approve", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "totalSupply", "outputs": [{"type": "uint256", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "from"}, {"type": "address", "name": "to"}, {"type": "uint256", "name": "value"}], "constant": false, "name": "transferFrom", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "finance", "outputs": [{"type": "address", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "decimals", "outputs": [{"type": "uint8", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "spender"}, {"type": "uint256", "name": "addedValue"}], "constant": false, "name": "increaseAllowance", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": false, "name": "unpause", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "account"}], "constant": true, "name": "isPauser", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "token"}], "constant": false, "name": "reclaimTokens", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "paused", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [], "constant": false, "name": "renouncePauser", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "account"}], "constant": true, "name": "balanceOf", "outputs": [{"type": "uint256", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [], "constant": false, "name": "renounceOwnership", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "account"}], "constant": false, "name": "addPauser", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": false, "name": "pause", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "owner", "outputs": [{"type": "address", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "isOwner", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [], "constant": true, "name": "symbol", "outputs": [{"type": "string", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "account"}], "constant": false, "name": "addMinter", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [], "constant": false, "name": "renounceMinter", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "_finance"}], "constant": false, "name": "setFinance", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "spender"}, {"type": "uint256", "name": "subtractedValue"}], "constant": false, "name": "decreaseAllowance", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "to"}, {"type": "uint256", "name": "value"}], "constant": false, "name": "transfer", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "account"}], "constant": true, "name": "isMinter", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "owner"}, {"type": "address", "name": "spender"}], "constant": true, "name": "allowance", "outputs": [{"type": "uint256", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "newOwner"}], "constant": false, "name": "transferOwnership", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"indexed": false, "type": "address", "name": "account"}, {"indexed": false, "type": "bytes32", "name": "contextName"}, {"indexed": false, "type": "uint256", "name": "amount"}], "type": "event", "name": "SponsorshipsAssigned", "anonymous": false}, {"inputs": [{"indexed": false, "type": "address", "name": "tokenAddr"}, {"indexed": false, "type": "uint256", "name": "amount"}], "type": "event", "name": "ReclaimedTokens", "anonymous": false}, {"inputs": [{"indexed": false, "type": "address", "name": "financeAddr"}], "type": "event", "name": "FinanceSet", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "previousOwner"}, {"indexed": true, "type": "address", "name": "newOwner"}], "type": "event", "name": "OwnershipTransferred", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "account"}], "type": "event", "name": "MinterAdded", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "account"}], "type": "event", "name": "MinterRemoved", "anonymous": false}, {"inputs": [{"indexed": false, "type": "address", "name": "account"}], "type": "event", "name": "Paused", "anonymous": false}, {"inputs": [{"indexed": false, "type": "address", "name": "account"}], "type": "event", "name": "Unpaused", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "account"}], "type": "event", "name": "PauserAdded", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "account"}], "type": "event", "name": "PauserRemoved", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "from"}, {"indexed": true, "type": "address", "name": "to"}, {"indexed": false, "type": "uint256", "name": "value"}], "type": "event", "name": "Transfer", "anonymous": false}, {"inputs": [{"indexed": true, "type": "address", "name": "owner"}, {"indexed": true, "type": "address", "name": "spender"}, {"indexed": false, "type": "uint256", "name": "value"}], "type": "event", "name": "Approval", "anonymous": false}, {"inputs": [{"type": "address", "name": "account"}, {"type": "uint256", "name": "amount"}], "constant": false, "name": "mint", "outputs": [{"type": "bool", "name": ""}], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "bytes32", "name": "contextName"}, {"type": "uint256", "name": "amount"}], "constant": false, "name": "assignContext", "outputs": [], "stateMutability": "nonpayable", "payable": false, "type": "function"}, {"inputs": [{"type": "bytes32", "name": "contextName"}], "constant": true, "name": "totalContextBalance", "outputs": [{"type": "uint256", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}, {"inputs": [{"type": "address", "name": "account"}, {"type": "bytes32", "name": "contextName"}], "constant": true, "name": "contextBalance", "outputs": [{"type": "uint256", "name": ""}], "stateMutability": "view", "payable": false, "type": "function"}]' SPONSOR_EVENT_CONTRACT_ABI = '[{"anonymous": false,"inputs": [{"indexed": true,"internalType": "address","name": "addr","type": "address"}],"name": "Sponsor","type": "event"}]' MAINNET_WSS = os.environ['BN_UPDATER_MAINNET_WSS'] IDCHAIN_WSS = os.environ['BN_UPDATER_IDCHAIN_WSS'] SEED_GROUPS_WS_URL = os.environ['BN_UPDATER_SEED_GROUPS_WS_URL'] CHUNK = 10000 RECHECK_CHUNK = 300 APPS_JSON_FILE = 'https://apps.brightid.org/apps.json' BN_ARANGO_PROTOCOL = os.environ['BN_ARANGO_PROTOCOL'] BN_ARANGO_HOST = os.environ['BN_ARANGO_HOST'] BN_ARANGO_PORT = int(os.environ['BN_ARANGO_PORT']) ARANGO_SERVER = f'{BN_ARANGO_PROTOCOL}://{BN_ARANGO_HOST}:{BN_ARANGO_PORT}'

683.461538

8,760

0.601013

1,699

17,770

6.228958

0.108888

0.073703

0.060947

0.070301

0.790797

0.73722

0.714637

0.684966

0.632996

0.615137

0

0.010399

0.09623

17,770

25

8,761

710.8

0.648568

0

0.166667

0.970568

0.040124

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

1

0

1

0

1

0

null

0

6

7c87c293135aecbf38e5d20ac4d71332e0b54263

297

py

Python

platform/hwconf_data/efm32wg/modules/WDOG/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

null

platform/hwconf_data/efm32wg/modules/WDOG/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

1

2020-08-25T02:36:22.000Z

platform/hwconf_data/efm32wg/modules/WDOG/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

1

2020-08-25T01:56:04.000Z

import efm32wg.halconfig.halconfig_types as halconfig_types import efm32wg.halconfig.halconfig_dependency as halconfig_dependency import efm32wg.PythonSnippet.ExporterModel as ExporterModel import efm32wg.PythonSnippet.RuntimeModel as RuntimeModel import efm32wg.PythonSnippet.Metadata as Metadata

59.4

69

0.902357

34

297

7.764706

0.294118

0.246212

0.295455

0.234848

0

0.035971

0.063973

297

5

70

59.4

0.913669

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

7c9afb1bc07b8b613f898a263dd20d25e365c6fc

296

py

Python

yozik/core/__init__.py

vminakov/yozik

11aceba38940e628f635cba2aaf313857212207f

[ "MIT" ]

1

2017-04-28T12:22:12.000Z

yozik/core/__init__.py

vminakov/yozik

11aceba38940e628f635cba2aaf313857212207f

[ "MIT" ]

null

yozik/core/__init__.py

vminakov/yozik

11aceba38940e628f635cba2aaf313857212207f

[ "MIT" ]

null

from .downloader import Downloader from .downloaderthread import DownloaderThread from .search import Search from .searchthread import SearchThread from .searchterm import SearchTerm from .searchterm import SimpleSearchTerm from .searchterm import PlaylistLink from .searchterm import DirectLink

32.888889

46

0.864865

32

296

8

0.3125

0.21875

0.3125

0

0.108108

296

8

47

37

0.969697

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

7ceda1922313c4413f306a4ebd944a60455d97a5

102

py

Python

tests/exog/random/random_exog_150_80.py

shaido987/pyaf

b9afd089557bed6b90b246d3712c481ae26a1957

[ "BSD-3-Clause" ]

377

2016-10-13T20:52:44.000Z

2022-03-29T18:04:14.000Z

tests/exog/random/random_exog_150_80.py

ysdede/pyaf

b5541b8249d5a1cfdc01f27fdfd99b6580ed680b

[ "BSD-3-Clause" ]

160

2016-10-13T16:11:53.000Z

2022-03-28T04:21:34.000Z

tests/exog/random/random_exog_150_80.py

ysdede/pyaf

b5541b8249d5a1cfdc01f27fdfd99b6580ed680b

[ "BSD-3-Clause" ]

63

2017-03-09T14:51:18.000Z

2022-03-27T20:52:57.000Z

import tests.exog.test_random_exogenous as testrandexog testrandexog.test_random_exogenous( 150,80);

25.5

55

0.862745

14

102

6

0.714286

0.238095

0.452381

0

0.052632

0.068627

102

4

56

25.5

0.831579

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

6b321be0bde620c6828ed9c12a6b144482b66b3a

36

py

Python

videoanalyst/data/filter/__init__.py

TragedyN/SiamFCpp

65d80a66eb40d81ca09fa2dbf32636fbc414ec0d

[ "MIT" ]

737

2019-12-24T13:34:43.000Z

2022-03-28T11:38:24.000Z

videoanalyst/data/filter/__init__.py

ShiAngWang/video_analyst

de4f86363cc408695428b423e8d6e346aa35149b

[ "MIT" ]

129

2020-02-13T04:08:28.000Z

2022-03-17T04:13:09.000Z

videoanalyst/data/filter/__init__.py

ShiAngWang/video_analyst

de4f86363cc408695428b423e8d6e346aa35149b

[ "MIT" ]

179

2019-12-31T04:53:12.000Z

2022-03-25T06:32:20.000Z

from .filter_impl import * # noqa

18

35

0.694444

5

36

4.8

1

0

0.222222

36

1

36

0.857143

0.111111

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

6b4b140fdd6774701af47f7eb5e804ec685afa98

37,909

py

Python

instances/passenger_demand/pas-20210421-2109-int14000000000000001e/88.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

instances/passenger_demand/pas-20210421-2109-int14000000000000001e/88.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

instances/passenger_demand/pas-20210421-2109-int14000000000000001e/88.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11

[ "BSD-3-Clause" ]

null

""" PASSENGERS """ numPassengers = 3247 passenger_arriving = ( (3, 8, 6, 3, 3, 0, 4, 8, 2, 3, 2, 0), # 0 (6, 6, 6, 6, 2, 0, 5, 6, 3, 8, 3, 0), # 1 (2, 4, 8, 2, 1, 0, 4, 10, 7, 10, 2, 0), # 2 (3, 7, 13, 1, 3, 0, 10, 10, 6, 5, 3, 0), # 3 (4, 8, 6, 2, 4, 0, 8, 9, 7, 5, 3, 0), # 4 (4, 7, 10, 3, 3, 0, 7, 11, 4, 2, 2, 0), # 5 (2, 7, 7, 4, 4, 0, 6, 8, 5, 9, 2, 0), # 6 (8, 11, 4, 5, 1, 0, 8, 8, 7, 4, 2, 0), # 7 (1, 8, 3, 3, 0, 0, 7, 5, 4, 3, 5, 0), # 8 (6, 10, 4, 2, 2, 0, 9, 7, 5, 3, 1, 0), # 9 (5, 6, 4, 4, 1, 0, 7, 6, 3, 9, 5, 0), # 10 (2, 7, 10, 2, 3, 0, 11, 12, 4, 7, 3, 0), # 11 (5, 8, 10, 5, 1, 0, 11, 9, 4, 8, 2, 0), # 12 (5, 14, 6, 2, 3, 0, 8, 6, 5, 4, 2, 0), # 13 (3, 7, 6, 3, 2, 0, 5, 11, 6, 7, 1, 0), # 14 (6, 8, 7, 2, 4, 0, 9, 16, 3, 2, 2, 0), # 15 (4, 14, 8, 6, 2, 0, 2, 7, 9, 5, 3, 0), # 16 (2, 7, 4, 2, 4, 0, 6, 10, 8, 10, 0, 0), # 17 (5, 9, 9, 1, 1, 0, 8, 14, 3, 6, 2, 0), # 18 (6, 11, 4, 4, 4, 0, 6, 9, 5, 2, 2, 0), # 19 (4, 3, 5, 6, 4, 0, 2, 6, 7, 4, 2, 0), # 20 (4, 13, 3, 3, 3, 0, 5, 15, 4, 4, 0, 0), # 21 (4, 3, 11, 3, 2, 0, 6, 6, 11, 4, 4, 0), # 22 (6, 5, 5, 4, 2, 0, 3, 9, 4, 8, 0, 0), # 23 (3, 7, 4, 6, 5, 0, 5, 6, 4, 4, 0, 0), # 24 (5, 10, 13, 2, 2, 0, 6, 10, 5, 5, 2, 0), # 25 (9, 7, 4, 4, 1, 0, 9, 5, 2, 4, 4, 0), # 26 (1, 13, 5, 5, 1, 0, 7, 9, 6, 8, 2, 0), # 27 (4, 9, 12, 6, 4, 0, 8, 11, 9, 3, 3, 0), # 28 (4, 10, 7, 3, 3, 0, 6, 6, 7, 5, 4, 0), # 29 (7, 6, 5, 1, 6, 0, 6, 11, 5, 4, 2, 0), # 30 (5, 9, 7, 3, 0, 0, 14, 17, 7, 8, 2, 0), # 31 (1, 9, 6, 1, 2, 0, 8, 10, 6, 5, 2, 0), # 32 (6, 7, 5, 6, 2, 0, 7, 9, 5, 3, 3, 0), # 33 (3, 9, 9, 3, 3, 0, 3, 12, 6, 3, 1, 0), # 34 (2, 14, 7, 6, 2, 0, 11, 12, 5, 2, 6, 0), # 35 (6, 11, 5, 1, 5, 0, 6, 9, 3, 4, 5, 0), # 36 (3, 5, 10, 3, 1, 0, 10, 9, 6, 2, 5, 0), # 37 (2, 10, 9, 3, 4, 0, 8, 7, 6, 6, 3, 0), # 38 (5, 14, 6, 1, 2, 0, 10, 6, 3, 7, 1, 0), # 39 (4, 12, 6, 4, 3, 0, 2, 5, 4, 6, 1, 0), # 40 (5, 12, 7, 9, 4, 0, 9, 9, 4, 2, 7, 0), # 41 (3, 8, 5, 9, 4, 0, 5, 11, 4, 6, 4, 0), # 42 (6, 9, 9, 7, 2, 0, 11, 3, 7, 1, 2, 0), # 43 (4, 14, 5, 4, 2, 0, 8, 8, 2, 4, 2, 0), # 44 (6, 10, 4, 2, 1, 0, 2, 13, 3, 6, 2, 0), # 45 (3, 11, 7, 5, 2, 0, 3, 14, 2, 5, 6, 0), # 46 (4, 14, 7, 6, 2, 0, 5, 11, 10, 8, 2, 0), # 47 (3, 11, 5, 3, 2, 0, 9, 6, 12, 4, 1, 0), # 48 (8, 15, 3, 6, 2, 0, 5, 7, 10, 3, 3, 0), # 49 (4, 12, 8, 1, 0, 0, 4, 7, 5, 3, 3, 0), # 50 (6, 10, 3, 1, 1, 0, 7, 7, 6, 3, 4, 0), # 51 (7, 5, 3, 3, 1, 0, 5, 8, 6, 6, 4, 0), # 52 (6, 11, 4, 5, 4, 0, 4, 13, 9, 6, 1, 0), # 53 (2, 6, 7, 0, 1, 0, 5, 9, 5, 5, 5, 0), # 54 (7, 6, 6, 6, 3, 0, 4, 9, 7, 6, 3, 0), # 55 (5, 13, 4, 3, 2, 0, 3, 10, 5, 6, 5, 0), # 56 (5, 8, 14, 5, 3, 0, 8, 12, 6, 6, 2, 0), # 57 (5, 13, 8, 3, 1, 0, 8, 11, 8, 3, 0, 0), # 58 (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 59 ) station_arriving_intensity = ( (3.7095121817383676, 9.515044981060607, 11.19193043059126, 8.87078804347826, 10.000240384615385, 6.659510869565219), # 0 (3.7443308140669203, 9.620858238197952, 11.252381752534994, 8.920190141908213, 10.075193108974359, 6.657240994867151), # 1 (3.7787518681104277, 9.725101964085297, 11.31139817195087, 8.968504830917876, 10.148564102564103, 6.654901690821256), # 2 (3.8127461259877085, 9.827663671875001, 11.368936576156813, 9.01569089673913, 10.22028605769231, 6.652493274456523), # 3 (3.8462843698175795, 9.928430874719417, 11.424953852470724, 9.061707125603865, 10.290291666666668, 6.6500160628019325), # 4 (3.879337381718857, 10.027291085770905, 11.479406888210512, 9.106512303743962, 10.358513621794872, 6.647470372886473), # 5 (3.9118759438103607, 10.12413181818182, 11.53225257069409, 9.150065217391306, 10.424884615384617, 6.644856521739131), # 6 (3.943870838210907, 10.218840585104518, 11.58344778723936, 9.19232465277778, 10.489337339743592, 6.64217482638889), # 7 (3.975292847039314, 10.311304899691358, 11.632949425164242, 9.233249396135266, 10.551804487179488, 6.639425603864735), # 8 (4.006112752414399, 10.401412275094698, 11.680714371786634, 9.272798233695653, 10.61221875, 6.636609171195653), # 9 (4.03630133645498, 10.489050224466892, 11.72669951442445, 9.310929951690824, 10.670512820512823, 6.633725845410628), # 10 (4.065829381279876, 10.5741062609603, 11.7708617403956, 9.347603336352659, 10.726619391025642, 6.630775943538648), # 11 (4.094667669007903, 10.656467897727273, 11.813157937017996, 9.382777173913043, 10.780471153846154, 6.627759782608695), # 12 (4.122786981757876, 10.736022647920176, 11.85354499160954, 9.416410250603866, 10.832000801282053, 6.624677679649759), # 13 (4.15015810164862, 10.81265802469136, 11.891979791488144, 9.448461352657004, 10.881141025641025, 6.621529951690821), # 14 (4.1767518107989465, 10.886261541193182, 11.928419223971721, 9.478889266304348, 10.92782451923077, 6.618316915760871), # 15 (4.202538891327675, 10.956720710578002, 11.96282017637818, 9.507652777777778, 10.971983974358976, 6.61503888888889), # 16 (4.227490125353625, 11.023923045998176, 11.995139536025421, 9.53471067330918, 11.013552083333336, 6.611696188103866), # 17 (4.25157629499561, 11.087756060606061, 12.025334190231364, 9.560021739130436, 11.052461538461543, 6.608289130434783), # 18 (4.274768182372451, 11.148107267554012, 12.053361026313912, 9.58354476147343, 11.088645032051284, 6.604818032910629), # 19 (4.297036569602966, 11.204864179994388, 12.079176931590974, 9.60523852657005, 11.122035256410259, 6.601283212560387), # 20 (4.318352238805971, 11.257914311079544, 12.102738793380466, 9.625061820652174, 11.152564903846153, 6.597684986413044), # 21 (4.338685972100283, 11.307145173961842, 12.124003499000287, 9.642973429951692, 11.180166666666667, 6.5940236714975855), # 22 (4.358008551604722, 11.352444281793632, 12.142927935768354, 9.658932140700484, 11.204773237179488, 6.590299584842997), # 23 (4.3762907594381035, 11.393699147727272, 12.159468991002571, 9.672896739130437, 11.226317307692307, 6.586513043478261), # 24 (4.393503377719247, 11.430797284915124, 12.173583552020853, 9.684826011473431, 11.244731570512819, 6.582664364432368), # 25 (4.409617188566969, 11.46362620650954, 12.185228506141103, 9.694678743961353, 11.259948717948719, 6.5787538647343), # 26 (4.424602974100088, 11.492073425662877, 12.194360740681233, 9.702413722826089, 11.271901442307694, 6.574781861413045), # 27 (4.438431516437421, 11.516026455527497, 12.200937142959157, 9.707989734299519, 11.280522435897437, 6.570748671497586), # 28 (4.4510735976977855, 11.535372809255753, 12.204914600292774, 9.711365564613528, 11.285744391025641, 6.566654612016909), # 29 (4.4625, 11.55, 12.20625, 9.7125, 11.287500000000001, 6.562500000000001), # 30 (4.47319183983376, 11.56215031960227, 12.205248928140096, 9.712295118464054, 11.286861125886526, 6.556726763701484), # 31 (4.4836528452685425, 11.574140056818184, 12.202274033816424, 9.711684477124184, 11.28495815602837, 6.547834661835751), # 32 (4.493887715792838, 11.585967720170455, 12.197367798913046, 9.710674080882354, 11.281811569148937, 6.535910757121439), # 33 (4.503901150895141, 11.597631818181819, 12.19057270531401, 9.709269934640524, 11.277441843971632, 6.521042112277196), # 34 (4.513697850063939, 11.609130859374998, 12.181931234903383, 9.707478043300654, 11.27186945921986, 6.503315790021656), # 35 (4.523282512787724, 11.62046335227273, 12.171485869565219, 9.705304411764708, 11.265114893617023, 6.482818853073463), # 36 (4.532659838554988, 11.631627805397729, 12.159279091183576, 9.70275504493464, 11.257198625886524, 6.4596383641512585), # 37 (4.5418345268542195, 11.642622727272729, 12.145353381642513, 9.699835947712419, 11.248141134751775, 6.433861385973679), # 38 (4.5508112771739135, 11.653446626420456, 12.129751222826087, 9.696553125000001, 11.23796289893617, 6.40557498125937), # 39 (4.559594789002558, 11.664098011363638, 12.11251509661836, 9.692912581699348, 11.22668439716312, 6.37486621272697), # 40 (4.568189761828645, 11.674575390625, 12.093687484903382, 9.68892032271242, 11.214326108156028, 6.34182214309512), # 41 (4.576600895140665, 11.684877272727276, 12.07331086956522, 9.684582352941177, 11.2009085106383, 6.3065298350824595), # 42 (4.584832888427111, 11.69500216619318, 12.051427732487923, 9.679904677287583, 11.186452083333334, 6.26907635140763), # 43 (4.592890441176471, 11.704948579545455, 12.028080555555556, 9.674893300653595, 11.17097730496454, 6.229548754789272), # 44 (4.600778252877237, 11.714715021306818, 12.003311820652177, 9.669554227941177, 11.15450465425532, 6.188034107946028), # 45 (4.6085010230179035, 11.724300000000003, 11.97716400966184, 9.663893464052288, 11.137054609929079, 6.144619473596536), # 46 (4.616063451086957, 11.733702024147728, 11.9496796044686, 9.65791701388889, 11.118647650709221, 6.099391914459438), # 47 (4.623470236572891, 11.742919602272728, 11.920901086956523, 9.651630882352942, 11.099304255319149, 6.052438493253375), # 48 (4.630726078964194, 11.751951242897727, 11.890870939009663, 9.645041074346407, 11.079044902482272, 6.003846272696985), # 49 (4.6378356777493615, 11.760795454545454, 11.85963164251208, 9.638153594771243, 11.057890070921987, 5.953702315508913), # 50 (4.6448037324168805, 11.769450745738636, 11.827225679347826, 9.630974448529413, 11.035860239361703, 5.902093684407797), # 51 (4.651634942455243, 11.777915625, 11.793695531400965, 9.623509640522876, 11.012975886524824, 5.849107442112278), # 52 (4.658334007352941, 11.786188600852274, 11.759083680555555, 9.615765175653596, 10.989257491134753, 5.794830651340996), # 53 (4.6649056265984665, 11.79426818181818, 11.723432608695653, 9.60774705882353, 10.964725531914894, 5.739350374812594), # 54 (4.671354499680307, 11.802152876420456, 11.686784797705313, 9.599461294934642, 10.939400487588653, 5.682753675245711), # 55 (4.677685326086957, 11.809841193181818, 11.649182729468599, 9.59091388888889, 10.913302836879433, 5.625127615358988), # 56 (4.683902805306906, 11.817331640625003, 11.610668885869565, 9.582110845588236, 10.886453058510638, 5.566559257871065), # 57 (4.690011636828645, 11.824622727272727, 11.57128574879227, 9.573058169934642, 10.858871631205675, 5.507135665500583), # 58 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59 ) passenger_arriving_acc = ( (3, 8, 6, 3, 3, 0, 4, 8, 2, 3, 2, 0), # 0 (9, 14, 12, 9, 5, 0, 9, 14, 5, 11, 5, 0), # 1 (11, 18, 20, 11, 6, 0, 13, 24, 12, 21, 7, 0), # 2 (14, 25, 33, 12, 9, 0, 23, 34, 18, 26, 10, 0), # 3 (18, 33, 39, 14, 13, 0, 31, 43, 25, 31, 13, 0), # 4 (22, 40, 49, 17, 16, 0, 38, 54, 29, 33, 15, 0), # 5 (24, 47, 56, 21, 20, 0, 44, 62, 34, 42, 17, 0), # 6 (32, 58, 60, 26, 21, 0, 52, 70, 41, 46, 19, 0), # 7 (33, 66, 63, 29, 21, 0, 59, 75, 45, 49, 24, 0), # 8 (39, 76, 67, 31, 23, 0, 68, 82, 50, 52, 25, 0), # 9 (44, 82, 71, 35, 24, 0, 75, 88, 53, 61, 30, 0), # 10 (46, 89, 81, 37, 27, 0, 86, 100, 57, 68, 33, 0), # 11 (51, 97, 91, 42, 28, 0, 97, 109, 61, 76, 35, 0), # 12 (56, 111, 97, 44, 31, 0, 105, 115, 66, 80, 37, 0), # 13 (59, 118, 103, 47, 33, 0, 110, 126, 72, 87, 38, 0), # 14 (65, 126, 110, 49, 37, 0, 119, 142, 75, 89, 40, 0), # 15 (69, 140, 118, 55, 39, 0, 121, 149, 84, 94, 43, 0), # 16 (71, 147, 122, 57, 43, 0, 127, 159, 92, 104, 43, 0), # 17 (76, 156, 131, 58, 44, 0, 135, 173, 95, 110, 45, 0), # 18 (82, 167, 135, 62, 48, 0, 141, 182, 100, 112, 47, 0), # 19 (86, 170, 140, 68, 52, 0, 143, 188, 107, 116, 49, 0), # 20 (90, 183, 143, 71, 55, 0, 148, 203, 111, 120, 49, 0), # 21 (94, 186, 154, 74, 57, 0, 154, 209, 122, 124, 53, 0), # 22 (100, 191, 159, 78, 59, 0, 157, 218, 126, 132, 53, 0), # 23 (103, 198, 163, 84, 64, 0, 162, 224, 130, 136, 53, 0), # 24 (108, 208, 176, 86, 66, 0, 168, 234, 135, 141, 55, 0), # 25 (117, 215, 180, 90, 67, 0, 177, 239, 137, 145, 59, 0), # 26 (118, 228, 185, 95, 68, 0, 184, 248, 143, 153, 61, 0), # 27 (122, 237, 197, 101, 72, 0, 192, 259, 152, 156, 64, 0), # 28 (126, 247, 204, 104, 75, 0, 198, 265, 159, 161, 68, 0), # 29 (133, 253, 209, 105, 81, 0, 204, 276, 164, 165, 70, 0), # 30 (138, 262, 216, 108, 81, 0, 218, 293, 171, 173, 72, 0), # 31 (139, 271, 222, 109, 83, 0, 226, 303, 177, 178, 74, 0), # 32 (145, 278, 227, 115, 85, 0, 233, 312, 182, 181, 77, 0), # 33 (148, 287, 236, 118, 88, 0, 236, 324, 188, 184, 78, 0), # 34 (150, 301, 243, 124, 90, 0, 247, 336, 193, 186, 84, 0), # 35 (156, 312, 248, 125, 95, 0, 253, 345, 196, 190, 89, 0), # 36 (159, 317, 258, 128, 96, 0, 263, 354, 202, 192, 94, 0), # 37 (161, 327, 267, 131, 100, 0, 271, 361, 208, 198, 97, 0), # 38 (166, 341, 273, 132, 102, 0, 281, 367, 211, 205, 98, 0), # 39 (170, 353, 279, 136, 105, 0, 283, 372, 215, 211, 99, 0), # 40 (175, 365, 286, 145, 109, 0, 292, 381, 219, 213, 106, 0), # 41 (178, 373, 291, 154, 113, 0, 297, 392, 223, 219, 110, 0), # 42 (184, 382, 300, 161, 115, 0, 308, 395, 230, 220, 112, 0), # 43 (188, 396, 305, 165, 117, 0, 316, 403, 232, 224, 114, 0), # 44 (194, 406, 309, 167, 118, 0, 318, 416, 235, 230, 116, 0), # 45 (197, 417, 316, 172, 120, 0, 321, 430, 237, 235, 122, 0), # 46 (201, 431, 323, 178, 122, 0, 326, 441, 247, 243, 124, 0), # 47 (204, 442, 328, 181, 124, 0, 335, 447, 259, 247, 125, 0), # 48 (212, 457, 331, 187, 126, 0, 340, 454, 269, 250, 128, 0), # 49 (216, 469, 339, 188, 126, 0, 344, 461, 274, 253, 131, 0), # 50 (222, 479, 342, 189, 127, 0, 351, 468, 280, 256, 135, 0), # 51 (229, 484, 345, 192, 128, 0, 356, 476, 286, 262, 139, 0), # 52 (235, 495, 349, 197, 132, 0, 360, 489, 295, 268, 140, 0), # 53 (237, 501, 356, 197, 133, 0, 365, 498, 300, 273, 145, 0), # 54 (244, 507, 362, 203, 136, 0, 369, 507, 307, 279, 148, 0), # 55 (249, 520, 366, 206, 138, 0, 372, 517, 312, 285, 153, 0), # 56 (254, 528, 380, 211, 141, 0, 380, 529, 318, 291, 155, 0), # 57 (259, 541, 388, 214, 142, 0, 388, 540, 326, 294, 155, 0), # 58 (259, 541, 388, 214, 142, 0, 388, 540, 326, 294, 155, 0), # 59 ) passenger_arriving_rate = ( (3.7095121817383676, 7.612035984848484, 6.715158258354756, 3.5483152173913037, 2.000048076923077, 0.0, 6.659510869565219, 8.000192307692307, 5.322472826086956, 4.476772172236504, 1.903008996212121, 0.0), # 0 (3.7443308140669203, 7.696686590558361, 6.751429051520996, 3.5680760567632848, 2.0150386217948717, 0.0, 6.657240994867151, 8.060154487179487, 5.352114085144928, 4.500952701013997, 1.9241716476395903, 0.0), # 1 (3.7787518681104277, 7.780081571268237, 6.786838903170522, 3.58740193236715, 2.0297128205128203, 0.0, 6.654901690821256, 8.118851282051281, 5.381102898550726, 4.524559268780347, 1.9450203928170593, 0.0), # 2 (3.8127461259877085, 7.8621309375, 6.821361945694087, 3.6062763586956517, 2.044057211538462, 0.0, 6.652493274456523, 8.176228846153847, 5.409414538043478, 4.547574630462725, 1.965532734375, 0.0), # 3 (3.8462843698175795, 7.942744699775533, 6.854972311482434, 3.624682850241546, 2.0580583333333333, 0.0, 6.6500160628019325, 8.232233333333333, 5.437024275362319, 4.569981540988289, 1.9856861749438832, 0.0), # 4 (3.879337381718857, 8.021832868616723, 6.887644132926307, 3.6426049214975844, 2.0717027243589743, 0.0, 6.647470372886473, 8.286810897435897, 5.463907382246377, 4.591762755284204, 2.005458217154181, 0.0), # 5 (3.9118759438103607, 8.099305454545455, 6.919351542416455, 3.660026086956522, 2.084976923076923, 0.0, 6.644856521739131, 8.339907692307692, 5.490039130434783, 4.612901028277636, 2.0248263636363637, 0.0), # 6 (3.943870838210907, 8.175072468083613, 6.950068672343615, 3.6769298611111116, 2.0978674679487184, 0.0, 6.64217482638889, 8.391469871794873, 5.515394791666668, 4.633379114895743, 2.043768117020903, 0.0), # 7 (3.975292847039314, 8.249043919753085, 6.979769655098544, 3.693299758454106, 2.1103608974358976, 0.0, 6.639425603864735, 8.44144358974359, 5.5399496376811594, 4.653179770065696, 2.062260979938271, 0.0), # 8 (4.006112752414399, 8.321129820075758, 7.00842862307198, 3.709119293478261, 2.12244375, 0.0, 6.636609171195653, 8.489775, 5.563678940217391, 4.672285748714653, 2.0802824550189394, 0.0), # 9 (4.03630133645498, 8.391240179573513, 7.03601970865467, 3.724371980676329, 2.134102564102564, 0.0, 6.633725845410628, 8.536410256410257, 5.586557971014494, 4.690679805769779, 2.0978100448933783, 0.0), # 10 (4.065829381279876, 8.459285008768239, 7.06251704423736, 3.739041334541063, 2.145323878205128, 0.0, 6.630775943538648, 8.581295512820512, 5.608562001811595, 4.70834469615824, 2.1148212521920597, 0.0), # 11 (4.094667669007903, 8.525174318181818, 7.087894762210797, 3.7531108695652167, 2.156094230769231, 0.0, 6.627759782608695, 8.624376923076923, 5.6296663043478254, 4.725263174807198, 2.1312935795454546, 0.0), # 12 (4.122786981757876, 8.58881811833614, 7.112126994965724, 3.766564100241546, 2.1664001602564102, 0.0, 6.624677679649759, 8.665600641025641, 5.649846150362319, 4.741417996643816, 2.147204529584035, 0.0), # 13 (4.15015810164862, 8.650126419753088, 7.135187874892886, 3.779384541062801, 2.1762282051282047, 0.0, 6.621529951690821, 8.704912820512819, 5.669076811594202, 4.756791916595257, 2.162531604938272, 0.0), # 14 (4.1767518107989465, 8.709009232954545, 7.157051534383032, 3.7915557065217387, 2.1855649038461538, 0.0, 6.618316915760871, 8.742259615384615, 5.6873335597826085, 4.771367689588688, 2.177252308238636, 0.0), # 15 (4.202538891327675, 8.7653765684624, 7.177692105826908, 3.803061111111111, 2.194396794871795, 0.0, 6.61503888888889, 8.77758717948718, 5.7045916666666665, 4.785128070551272, 2.1913441421156, 0.0), # 16 (4.227490125353625, 8.81913843679854, 7.197083721615253, 3.8138842693236716, 2.202710416666667, 0.0, 6.611696188103866, 8.810841666666668, 5.720826403985508, 4.798055814410168, 2.204784609199635, 0.0), # 17 (4.25157629499561, 8.870204848484848, 7.215200514138818, 3.824008695652174, 2.2104923076923084, 0.0, 6.608289130434783, 8.841969230769234, 5.736013043478262, 4.810133676092545, 2.217551212121212, 0.0), # 18 (4.274768182372451, 8.918485814043208, 7.232016615788346, 3.8334179045893717, 2.2177290064102566, 0.0, 6.604818032910629, 8.870916025641026, 5.750126856884058, 4.8213444105255645, 2.229621453510802, 0.0), # 19 (4.297036569602966, 8.96389134399551, 7.247506158954584, 3.8420954106280196, 2.2244070512820517, 0.0, 6.601283212560387, 8.897628205128207, 5.76314311594203, 4.831670772636389, 2.2409728359988774, 0.0), # 20 (4.318352238805971, 9.006331448863634, 7.261643276028279, 3.8500247282608693, 2.2305129807692303, 0.0, 6.597684986413044, 8.922051923076921, 5.775037092391305, 4.841095517352186, 2.2515828622159084, 0.0), # 21 (4.338685972100283, 9.045716139169473, 7.274402099400172, 3.8571893719806765, 2.2360333333333333, 0.0, 6.5940236714975855, 8.944133333333333, 5.785784057971015, 4.849601399600115, 2.2614290347923682, 0.0), # 22 (4.358008551604722, 9.081955425434906, 7.285756761461012, 3.8635728562801934, 2.2409546474358972, 0.0, 6.590299584842997, 8.963818589743589, 5.79535928442029, 4.857171174307341, 2.2704888563587264, 0.0), # 23 (4.3762907594381035, 9.114959318181818, 7.295681394601543, 3.869158695652174, 2.2452634615384612, 0.0, 6.586513043478261, 8.981053846153845, 5.803738043478262, 4.863787596401028, 2.2787398295454544, 0.0), # 24 (4.393503377719247, 9.1446378279321, 7.304150131212511, 3.8739304045893723, 2.2489463141025636, 0.0, 6.582664364432368, 8.995785256410255, 5.810895606884059, 4.869433420808341, 2.286159456983025, 0.0), # 25 (4.409617188566969, 9.17090096520763, 7.311137103684661, 3.8778714975845405, 2.2519897435897436, 0.0, 6.5787538647343, 9.007958974358974, 5.816807246376811, 4.874091402456441, 2.2927252413019077, 0.0), # 26 (4.424602974100088, 9.193658740530301, 7.31661644440874, 3.880965489130435, 2.2543802884615385, 0.0, 6.574781861413045, 9.017521153846154, 5.821448233695653, 4.877744296272493, 2.2984146851325753, 0.0), # 27 (4.438431516437421, 9.212821164421996, 7.320562285775494, 3.8831958937198072, 2.256104487179487, 0.0, 6.570748671497586, 9.024417948717948, 5.824793840579711, 4.8803748571836625, 2.303205291105499, 0.0), # 28 (4.4510735976977855, 9.228298247404602, 7.322948760175664, 3.884546225845411, 2.257148878205128, 0.0, 6.566654612016909, 9.028595512820512, 5.826819338768117, 4.881965840117109, 2.3070745618511506, 0.0), # 29 (4.4625, 9.24, 7.32375, 3.885, 2.2575000000000003, 0.0, 6.562500000000001, 9.030000000000001, 5.8275, 4.8825, 2.31, 0.0), # 30 (4.47319183983376, 9.249720255681815, 7.323149356884057, 3.884918047385621, 2.257372225177305, 0.0, 6.556726763701484, 9.02948890070922, 5.827377071078432, 4.882099571256038, 2.312430063920454, 0.0), # 31 (4.4836528452685425, 9.259312045454546, 7.3213644202898545, 3.884673790849673, 2.2569916312056737, 0.0, 6.547834661835751, 9.027966524822695, 5.82701068627451, 4.880909613526569, 2.3148280113636366, 0.0), # 32 (4.493887715792838, 9.268774176136363, 7.3184206793478275, 3.8842696323529413, 2.2563623138297872, 0.0, 6.535910757121439, 9.025449255319149, 5.826404448529412, 4.878947119565218, 2.3171935440340907, 0.0), # 33 (4.503901150895141, 9.278105454545454, 7.314343623188405, 3.8837079738562093, 2.2554883687943263, 0.0, 6.521042112277196, 9.021953475177305, 5.825561960784314, 4.876229082125604, 2.3195263636363634, 0.0), # 34 (4.513697850063939, 9.287304687499997, 7.3091587409420296, 3.882991217320261, 2.2543738918439717, 0.0, 6.503315790021656, 9.017495567375887, 5.824486825980392, 4.872772493961353, 2.3218261718749993, 0.0), # 35 (4.523282512787724, 9.296370681818182, 7.302891521739131, 3.8821217647058828, 2.253022978723404, 0.0, 6.482818853073463, 9.012091914893617, 5.823182647058824, 4.868594347826087, 2.3240926704545455, 0.0), # 36 (4.532659838554988, 9.305302244318183, 7.295567454710145, 3.881102017973856, 2.2514397251773044, 0.0, 6.4596383641512585, 9.005758900709218, 5.821653026960784, 4.86371163647343, 2.3263255610795457, 0.0), # 37 (4.5418345268542195, 9.314098181818181, 7.287212028985508, 3.8799343790849674, 2.249628226950355, 0.0, 6.433861385973679, 8.99851290780142, 5.819901568627452, 4.858141352657005, 2.3285245454545453, 0.0), # 38 (4.5508112771739135, 9.322757301136363, 7.277850733695652, 3.87862125, 2.247592579787234, 0.0, 6.40557498125937, 8.990370319148935, 5.817931875, 4.8519004891304345, 2.330689325284091, 0.0), # 39 (4.559594789002558, 9.33127840909091, 7.267509057971015, 3.8771650326797387, 2.245336879432624, 0.0, 6.37486621272697, 8.981347517730496, 5.815747549019608, 4.845006038647344, 2.3328196022727274, 0.0), # 40 (4.568189761828645, 9.3396603125, 7.256212490942029, 3.8755681290849675, 2.2428652216312055, 0.0, 6.34182214309512, 8.971460886524822, 5.813352193627452, 4.837474993961353, 2.334915078125, 0.0), # 41 (4.576600895140665, 9.34790181818182, 7.2439865217391315, 3.8738329411764707, 2.2401817021276598, 0.0, 6.3065298350824595, 8.960726808510639, 5.810749411764706, 4.829324347826088, 2.336975454545455, 0.0), # 42 (4.584832888427111, 9.356001732954544, 7.230856639492753, 3.8719618709150327, 2.2372904166666667, 0.0, 6.26907635140763, 8.949161666666667, 5.80794280637255, 4.820571092995169, 2.339000433238636, 0.0), # 43 (4.592890441176471, 9.363958863636363, 7.216848333333333, 3.8699573202614377, 2.2341954609929076, 0.0, 6.229548754789272, 8.93678184397163, 5.804935980392157, 4.811232222222222, 2.3409897159090907, 0.0), # 44 (4.600778252877237, 9.371772017045453, 7.201987092391306, 3.8678216911764705, 2.230900930851064, 0.0, 6.188034107946028, 8.923603723404256, 5.801732536764706, 4.80132472826087, 2.3429430042613633, 0.0), # 45 (4.6085010230179035, 9.379440000000002, 7.186298405797103, 3.8655573856209147, 2.2274109219858156, 0.0, 6.144619473596536, 8.909643687943262, 5.798336078431372, 4.790865603864735, 2.3448600000000006, 0.0), # 46 (4.616063451086957, 9.386961619318182, 7.16980776268116, 3.8631668055555552, 2.223729530141844, 0.0, 6.099391914459438, 8.894918120567375, 5.794750208333333, 4.77987184178744, 2.3467404048295455, 0.0), # 47 (4.623470236572891, 9.394335681818182, 7.152540652173913, 3.8606523529411763, 2.21986085106383, 0.0, 6.052438493253375, 8.87944340425532, 5.790978529411765, 4.7683604347826085, 2.3485839204545456, 0.0), # 48 (4.630726078964194, 9.401560994318181, 7.134522563405797, 3.8580164297385626, 2.2158089804964543, 0.0, 6.003846272696985, 8.863235921985817, 5.787024644607844, 4.7563483756038645, 2.3503902485795454, 0.0), # 49 (4.6378356777493615, 9.408636363636361, 7.115778985507247, 3.8552614379084966, 2.211578014184397, 0.0, 5.953702315508913, 8.846312056737588, 5.782892156862745, 4.743852657004831, 2.3521590909090904, 0.0), # 50 (4.6448037324168805, 9.415560596590907, 7.096335407608696, 3.852389779411765, 2.2071720478723407, 0.0, 5.902093684407797, 8.828688191489363, 5.778584669117648, 4.73089027173913, 2.353890149147727, 0.0), # 51 (4.651634942455243, 9.4223325, 7.0762173188405795, 3.84940385620915, 2.2025951773049646, 0.0, 5.849107442112278, 8.810380709219858, 5.774105784313726, 4.717478212560386, 2.355583125, 0.0), # 52 (4.658334007352941, 9.428950880681818, 7.055450208333333, 3.8463060702614382, 2.1978514982269504, 0.0, 5.794830651340996, 8.791405992907801, 5.769459105392158, 4.703633472222222, 2.3572377201704544, 0.0), # 53 (4.6649056265984665, 9.435414545454544, 7.034059565217391, 3.843098823529412, 2.192945106382979, 0.0, 5.739350374812594, 8.771780425531915, 5.764648235294119, 4.689373043478261, 2.358853636363636, 0.0), # 54 (4.671354499680307, 9.441722301136364, 7.012070878623187, 3.8397845179738566, 2.1878800975177306, 0.0, 5.682753675245711, 8.751520390070922, 5.759676776960785, 4.674713919082125, 2.360430575284091, 0.0), # 55 (4.677685326086957, 9.447872954545453, 6.989509637681159, 3.8363655555555556, 2.1826605673758865, 0.0, 5.625127615358988, 8.730642269503546, 5.754548333333334, 4.65967309178744, 2.361968238636363, 0.0), # 56 (4.683902805306906, 9.453865312500001, 6.966401331521738, 3.832844338235294, 2.1772906117021273, 0.0, 5.566559257871065, 8.70916244680851, 5.749266507352941, 4.644267554347826, 2.3634663281250003, 0.0), # 57 (4.690011636828645, 9.459698181818181, 6.942771449275362, 3.8292232679738563, 2.1717743262411346, 0.0, 5.507135665500583, 8.687097304964539, 5.743834901960785, 4.628514299516908, 2.3649245454545453, 0.0), # 58 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 59 ) passenger_allighting_rate = ( (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 0 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 1 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 2 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 3 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 4 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 5 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 6 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 7 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 8 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 9 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 10 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 11 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 12 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 13 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 14 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 15 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 16 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 17 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 18 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 19 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 20 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 21 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 22 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 23 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 24 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 25 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 26 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 27 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 28 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 29 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 30 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 31 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 32 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 33 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 34 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 35 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 36 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 37 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 38 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 39 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 40 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 41 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 42 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 43 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 44 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 45 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 46 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 47 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 48 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 49 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 50 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 51 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 52 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 53 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 54 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 55 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 56 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 57 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 58 (0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1, 0, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 0.16666666666666666, 1), # 59 ) """ parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html """ #initial entropy entropy = 258194110137029475889902652135037600173 #index for seed sequence child child_seed_index = ( 1, # 0 87, # 1 )

113.161194

212

0.729246

5,147

37,909

5.368953

0.229454

0.312658

0.247521

0.468987

0.328508

0.32764

0

0.819135

0.119075

37,909

334

213

113.5

0.008355

0.031945

0

0.202532

0

1

0

false

0.015823

0

null

1

0

1

0

1

0

null

0

6

86321586ad248378702d1020be4965785b7a98a9

164

py

Python

src/common/qf/meller.py

Furetur/ComputationalMath

5c49adf97eb3408bb4ae10be04f0df6988f73ac0

[ "MIT" ]

null

src/common/qf/meller.py

Furetur/ComputationalMath

5c49adf97eb3408bb4ae10be04f0df6988f73ac0

[ "MIT" ]

null

src/common/qf/meller.py

Furetur/ComputationalMath

5c49adf97eb3408bb4ae10be04f0df6988f73ac0

[ "MIT" ]

null

import numpy as np from src.common.polynomial.chebyshev import chebyshevs, chebyshev_roots def meller_qf(n: int): return chebyshev_roots(n), [np.pi / n] * n

20.5

71

0.743902

26

164

4.576923

0.692308

0.235294

0

0.158537

164

7

72

23.428571

0.862319

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

863984837ea360ebd90c41e2397315b69008d55d

22,433

gyp

Python

libtgvoip.gyp

nartes/libtgvoip

6e0e1026147364cfb1234489980a2625ab50b598

[ "Unlicense" ]

null

libtgvoip.gyp

nartes/libtgvoip

6e0e1026147364cfb1234489980a2625ab50b598

[ "Unlicense" ]

null

libtgvoip.gyp

nartes/libtgvoip

6e0e1026147364cfb1234489980a2625ab50b598

[ "Unlicense" ]

null

# GYP project file for TDesktop { 'targets': [ { 'target_name': 'libtgvoip', 'type': 'static_library', 'dependencies': [], 'defines': [ 'WEBRTC_APM_DEBUG_DUMP=0', 'TGVOIP_USE_DESKTOP_DSP', ], 'variables': { 'tgvoip_src_loc': '.', 'official_build_target%': '', 'linux_path_opus_include%': '<(DEPTH)/../../../Libraries/opus/include', }, 'include_dirs': [ '<(tgvoip_src_loc)/webrtc_dsp', '<(linux_path_opus_include)', ], 'direct_dependent_settings': { 'include_dirs': [ '<(tgvoip_src_loc)', ], }, 'export_dependent_settings': [], 'sources': [ '<(tgvoip_src_loc)/BlockingQueue.cpp', '<(tgvoip_src_loc)/BlockingQueue.h', '<(tgvoip_src_loc)/BufferInputStream.cpp', '<(tgvoip_src_loc)/BufferInputStream.h', '<(tgvoip_src_loc)/BufferOutputStream.cpp', '<(tgvoip_src_loc)/BufferOutputStream.h', '<(tgvoip_src_loc)/BufferPool.cpp', '<(tgvoip_src_loc)/BufferPool.h', '<(tgvoip_src_loc)/CongestionControl.cpp', '<(tgvoip_src_loc)/CongestionControl.h', '<(tgvoip_src_loc)/EchoCanceller.cpp', '<(tgvoip_src_loc)/EchoCanceller.h', '<(tgvoip_src_loc)/JitterBuffer.cpp', '<(tgvoip_src_loc)/JitterBuffer.h', '<(tgvoip_src_loc)/logging.cpp', '<(tgvoip_src_loc)/logging.h', '<(tgvoip_src_loc)/MediaStreamItf.cpp', '<(tgvoip_src_loc)/MediaStreamItf.h', '<(tgvoip_src_loc)/OpusDecoder.cpp', '<(tgvoip_src_loc)/OpusDecoder.h', '<(tgvoip_src_loc)/OpusEncoder.cpp', '<(tgvoip_src_loc)/OpusEncoder.h', '<(tgvoip_src_loc)/threading.h', '<(tgvoip_src_loc)/VoIPController.cpp', '<(tgvoip_src_loc)/VoIPController.h', '<(tgvoip_src_loc)/VoIPServerConfig.cpp', '<(tgvoip_src_loc)/VoIPServerConfig.h', '<(tgvoip_src_loc)/audio/AudioInput.cpp', '<(tgvoip_src_loc)/audio/AudioInput.h', '<(tgvoip_src_loc)/audio/AudioOutput.cpp', '<(tgvoip_src_loc)/audio/AudioOutput.h', '<(tgvoip_src_loc)/audio/Resampler.cpp', '<(tgvoip_src_loc)/audio/Resampler.h', '<(tgvoip_src_loc)/NetworkSocket.cpp', '<(tgvoip_src_loc)/NetworkSocket.h', # Windows '<(tgvoip_src_loc)/os/windows/NetworkSocketWinsock.cpp', '<(tgvoip_src_loc)/os/windows/NetworkSocketWinsock.h', '<(tgvoip_src_loc)/os/windows/AudioInputWave.cpp', '<(tgvoip_src_loc)/os/windows/AudioInputWave.h', '<(tgvoip_src_loc)/os/windows/AudioOutputWave.cpp', '<(tgvoip_src_loc)/os/windows/AudioOutputWave.h', '<(tgvoip_src_loc)/os/windows/AudioOutputWASAPI.cpp', '<(tgvoip_src_loc)/os/windows/AudioOutputWASAPI.h', '<(tgvoip_src_loc)/os/windows/AudioInputWASAPI.cpp', '<(tgvoip_src_loc)/os/windows/AudioInputWASAPI.h', # macOS '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnit.cpp', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnit.h', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnit.cpp', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnit.h', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnitOSX.cpp', '<(tgvoip_src_loc)/os/darwin/AudioInputAudioUnitOSX.h', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnitOSX.cpp', '<(tgvoip_src_loc)/os/darwin/AudioOutputAudioUnitOSX.h', '<(tgvoip_src_loc)/os/darwin/AudioUnitIO.cpp', '<(tgvoip_src_loc)/os/darwin/AudioUnitIO.h', '<(tgvoip_src_loc)/os/darwin/DarwinSpecific.mm', '<(tgvoip_src_loc)/os/darwin/DarwinSpecific.h', # Linux '<(tgvoip_src_loc)/os/linux/AudioInputALSA.cpp', '<(tgvoip_src_loc)/os/linux/AudioInputALSA.h', '<(tgvoip_src_loc)/os/linux/AudioOutputALSA.cpp', '<(tgvoip_src_loc)/os/linux/AudioOutputALSA.h', '<(tgvoip_src_loc)/os/linux/AudioOutputPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioOutputPulse.h', '<(tgvoip_src_loc)/os/linux/AudioInputPulse.cpp', '<(tgvoip_src_loc)/os/linux/AudioInputPulse.h', '<(tgvoip_src_loc)/os/linux/PulseAudioLoader.cpp', '<(tgvoip_src_loc)/os/linux/PulseAudioLoader.h', # POSIX '<(tgvoip_src_loc)/os/posix/NetworkSocketPosix.cpp', '<(tgvoip_src_loc)/os/posix/NetworkSocketPosix.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/array_view.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/atomicops.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/basictypes.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/checks.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/checks.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/constructormagic.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/safe_compare.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/safe_conversions.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/safe_conversions_impl.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/sanitizer.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/stringutils.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/stringutils.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/base/type_traits.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/audio_util.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/channel_buffer.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/channel_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/fft4g.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/fft4g.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/include/audio_util.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/ring_buffer.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/ring_buffer.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/auto_corr_to_refl_coef.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/auto_correlation.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/complex_bit_reverse.c', # 'webrtc_dsp/webrtc/common_audio/signal_processing/complex_bit_reverse_arm.S', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/complex_fft.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/complex_fft_tables.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/copy_set_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/cross_correlation.c', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/cross_correlation_neon.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/division_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/dot_product_with_scale.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/downsample_fast.c', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/downsample_fast_neon.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/energy.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/filter_ar.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/filter_ar_fast_q12.c', # 'webrtc_dsp/webrtc/common_audio/signal_processing/filter_ar_fast_q12_armv7.S', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/filter_ma_fast_q12.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/get_hanning_window.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/get_scaling_square.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/ilbc_specific_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/include/real_fft.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/include/signal_processing_library.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/include/spl_inl.h', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/include/spl_inl_armv7.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/include/spl_inl_mips.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/levinson_durbin.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/lpc_to_refl_coef.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/min_max_operations.c', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/min_max_operations_neon.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/randomization_functions.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/real_fft.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/refl_coef_to_lpc.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/resample.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/resample_48khz.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/resample_by_2.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/resample_by_2_internal.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/resample_by_2_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/resample_fractional.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/spl_init.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/spl_inl.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/spl_sqrt.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/spl_sqrt_floor.c', #'webrtc_dsp/webrtc/common_audio/signal_processing/spl_sqrt_floor_arm.S', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/splitting_filter_impl.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/sqrt_of_one_minus_x_squared.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/signal_processing/vector_scaling_operations.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/sparse_fir_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/sparse_fir_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/wav_file.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/wav_file.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/wav_header.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/common_audio/wav_header.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_common.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_core.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_core.h', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_core_neon.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_core_optimized_methods.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_core_sse2.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_resampler.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/aec_resampler.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/echo_cancellation.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aec/echo_cancellation.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/aecm_core.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/aecm_core.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/aecm_core_c.cc', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/aecm_core_neon.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/aecm_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/echo_control_mobile.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/aecm/echo_control_mobile.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/agc/legacy/analog_agc.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/agc/legacy/analog_agc.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/agc/legacy/digital_agc.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/agc/legacy/digital_agc.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/agc/legacy/gain_control.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/logging/apm_data_dumper.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/logging/apm_data_dumper.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/defines.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/noise_suppression.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/noise_suppression.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/noise_suppression_x.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/noise_suppression_x.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/ns_core.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/ns_core.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/nsx_core.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/nsx_core.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/nsx_core_c.c', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/nsx_core_neon.c', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/nsx_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/ns/windows_private.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/splitting_filter.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/splitting_filter.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/three_band_filter_bank.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/three_band_filter_bank.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/block_mean_calculator.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/block_mean_calculator.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/delay_estimator.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/delay_estimator.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/delay_estimator_internal.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/delay_estimator_wrapper.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/delay_estimator_wrapper.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/ooura_fft.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/ooura_fft.h', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/ooura_fft_neon.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/ooura_fft_sse2.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/ooura_fft_tables_common.h', # '<(tgvoip_src_loc)/webrtc_dsp/webrtc/modules/audio_processing/utility/ooura_fft_tables_neon_sse2.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/system_wrappers/include/asm_defines.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/system_wrappers/include/compile_assert_c.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/system_wrappers/include/cpu_features_wrapper.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/system_wrappers/include/metrics.h', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/system_wrappers/source/cpu_features.cc', '<(tgvoip_src_loc)/webrtc_dsp/webrtc/typedefs.h', ], 'libraries': [], 'configurations': { 'Debug': {}, 'Release': {}, }, 'conditions': [ [ '"<(OS)" != "win"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/windows/']], }, { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/posix/']], }, ], [ '"<(OS)" != "mac"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/darwin/']], }, ], [ '"<(OS)" != "linux"', { 'sources/': [['exclude', '<(tgvoip_src_loc)/os/linux/']], }, ], [ '"<(OS)" == "mac"', { 'xcode_settings': { 'CLANG_CXX_LANGUAGE_STANDARD': 'c++1z', }, 'defines': [ 'WEBRTC_POSIX', 'WEBRTC_MAC', 'TARGET_OS_OSX', ], 'conditions': [ [ '"<(official_build_target)" == "mac32"', { 'xcode_settings': { 'MACOSX_DEPLOYMENT_TARGET': '10.6', 'OTHER_CPLUSPLUSFLAGS': [ '-nostdinc++' ], }, 'include_dirs': [ '/usr/local/macold/include/c++/v1', '<(DEPTH)/../../../Libraries/macold/openssl/include', ], }, { 'xcode_settings': { 'MACOSX_DEPLOYMENT_TARGET': '10.8', 'CLANG_CXX_LIBRARY': 'libc++', }, 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/include', ], }] ] }, ], [ '"<(OS)" == "win"', { 'msbuild_toolset': 'v141', 'defines': [ 'NOMINMAX', '_USING_V110_SDK71_', 'TGVOIP_WINXP_COMPAT' ], 'libraries': [ 'winmm', 'ws2_32', 'kernel32', 'user32', ], 'msvs_cygwin_shell': 0, 'msvs_settings': { 'VCCLCompilerTool': { 'ProgramDataBaseFileName': '$(OutDir)\\$(ProjectName).pdb', 'DebugInformationFormat': '3', # Program Database (/Zi) 'AdditionalOptions': [ '/MP', # Enable multi process build. '/EHsc', # Catch C++ exceptions only, extern C functions never throw a C++ exception. '/wd4068', # Disable "warning C4068: unknown pragma" ], 'TreatWChar_tAsBuiltInType': 'false', }, }, 'msvs_external_builder_build_cmd': [ 'ninja.exe', '-C', '$(OutDir)', '-k0', '$(ProjectName)', ], 'configurations': { 'Debug': { 'defines': [ '_DEBUG', ], 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/Debug/include', ], 'msvs_settings': { 'VCCLCompilerTool': { 'Optimization': '0', # Disabled (/Od) 'RuntimeLibrary': '1', # Multi-threaded Debug (/MTd) 'RuntimeTypeInfo': 'true', }, 'VCLibrarianTool': { 'AdditionalOptions': [ '/NODEFAULTLIB:LIBCMT' ] } }, }, 'Release': { 'defines': [ 'NDEBUG', ], 'include_dirs': [ '<(DEPTH)/../../../Libraries/openssl/Release/include', ], 'msvs_settings': { 'VCCLCompilerTool': { 'Optimization': '2', # Maximize Speed (/O2) 'InlineFunctionExpansion': '2', # Any suitable (/Ob2) 'EnableIntrinsicFunctions': 'true', # Yes (/Oi) 'FavorSizeOrSpeed': '1', # Favor fast code (/Ot) 'RuntimeLibrary': '0', # Multi-threaded (/MT) 'EnableEnhancedInstructionSet': '2', # Streaming SIMD Extensions 2 (/arch:SSE2) 'WholeProgramOptimization': 'true', # /GL }, 'VCLibrarianTool': { 'AdditionalOptions': [ '/LTCG', ] }, }, }, }, }, ], [ '"<(OS)" == "linux"', { 'defines': [ 'WEBRTC_POSIX', ], 'cflags_cc': [ '-msse2', ], 'direct_dependent_settings': { 'libraries': [ ], }, }, ], ], }, ], }

56.223058

115

0.616502

2,484

22,433

5.171498

0.138084

0.145026

0.193368

0.18496

0.779231

0.743578

0.627433

0.625175

0.594971

0.578702

0

0.003935

0.241029

22,433

398

116

56.364322

0.750558

0.069318

0

0.171582

0

0.690843

0.63659

0

0.002681

1

0

true

0

null

0

1

0

1

0

1

null

0

1

0

6

8688f9a44ab89583408870bce87f46e7c3ae4d64

23,021

py

Python

dataset/batch_data_generator.py

BaiLiping/RADDet

ee7997ad078485a9156cac8aba72e3fe8b8142a1

[ "MIT" ]

null

dataset/batch_data_generator.py

BaiLiping/RADDet

ee7997ad078485a9156cac8aba72e3fe8b8142a1

[ "MIT" ]

null

dataset/batch_data_generator.py

BaiLiping/RADDet

ee7997ad078485a9156cac8aba72e3fe8b8142a1

[ "MIT" ]

null

# Title: RADDet # Authors: Ao Zhang, Erlik Nowruzi, Robert Laganiere import tensorflow as tf import numpy as np import glob, os import util.loader as loader import util.helper as helper class DataGenerator: def __init__(self, config_data, config_train, config_model, headoutput_shape, \ anchors, anchors_cart=None, cart_shape=None): """ Data Generator: Data, Gt loader and generator, all sequences are based on the file PROJECT_ROOT/sequences.txt. """ self.input_size = config_model["input_shape"] self.config_data = config_data self.config_train = config_train self.config_model = config_model self.headoutput_shape = headoutput_shape self.cart_shape = cart_shape self.grid_strides = self.getGridStrides() self.cart_grid_strides = self.getCartGridStrides() self.anchor_boxes = anchors self.anchor_boxes_cart = anchors_cart self.RAD_sequences_train = self.readSequences(mode="train") self.RAD_sequences_test = self.readSequences(mode="test") ### NOTE: if "if_validat" set true in "config.json", it will split trainset ### self.RAD_sequences_train, self.RAD_sequences_validate = \ self.splitTrain(self.RAD_sequences_train) self.batch_size = config_train["batch_size"] self.total_train_batches = (self.config_train["epochs"] * \ len(self.RAD_sequences_train)) // self.batch_size self.total_test_batches = len(self.RAD_sequences_test) // self.batch_size self.total_validate_batches = len(self.RAD_sequences_validate) // self.batch_size def splitTrain(self, train_sequences): """ Split train set to train and validate """ total_num = len(train_sequences) validate_num = int(0.1 * total_num) if self.config_train["if_validate"]: return train_sequences[:total_num-validate_num], \ train_sequences[total_num-validate_num:] else: return train_sequences, train_sequences[total_num-validate_num:] def getGridStrides(self, ): """ Get grid strides """ strides = (np.array(self.config_model["input_shape"])[:3] / \ np.array(self.headoutput_shape[1:4])) return np.array(strides).astype(np.float32) def readSequences(self, mode): """ Read sequences from PROJECT_ROOT/sequences.txt """ assert mode in ["train", "test"] if mode == "train": sequences = glob.glob(os.path.join(self.config_data["train_set_dir"], \ "RAD/*/*.npy")) else: sequences = glob.glob(os.path.join(self.config_data["test_set_dir"], \ "RAD/*/*.npy")) if len(sequences) == 0: raise ValueError("Cannot read sequences.txt. \ Please check if the file is organized properly.") return sequences """---------------------------------------------------------------------""" """-------------------- RAD 3D Boxes train/test set --------------------""" """---------------------------------------------------------------------""" def encodeToLabels(self, gt_instances): """ Transfer ground truth instances into Detection Head format """ raw_boxes_xyzwhd = np.zeros((self.config_data["max_boxes_per_frame"], 7)) ### initialize gronud truth labels as np.zeors ### gt_labels = np.zeros(list(self.headoutput_shape[1:4]) + \ [len(self.anchor_boxes)] + \ [len(self.config_data["all_classes"]) + 7]) ### start transferring box to ground turth label format ### for i in range(len(gt_instances["classes"])): if i > self.config_data["max_boxes_per_frame"]: continue class_name = gt_instances["classes"][i] box_xyzwhd = gt_instances["boxes"][i] class_id = self.config_data["all_classes"].index(class_name) if i < self.config_data["max_boxes_per_frame"]: raw_boxes_xyzwhd[i, :6] = box_xyzwhd raw_boxes_xyzwhd[i, 6] = class_id class_onehot = helper.smoothOnehot(class_id, len(self.config_data["all_classes"])) exist_positive = False grid_strid = self.grid_strides anchor_stage = self.anchor_boxes box_xyzwhd_scaled = box_xyzwhd[np.newaxis, :].astype(np.float32) box_xyzwhd_scaled[:, :3] /= grid_strid anchorstage_xyzwhd = np.zeros([len(anchor_stage), 6]) anchorstage_xyzwhd[:, :3] = np.floor(box_xyzwhd_scaled[:, :3]) + 0.5 anchorstage_xyzwhd[:, 3:] = anchor_stage.astype(np.float32) iou_scaled = helper.iou3d(box_xyzwhd_scaled, anchorstage_xyzwhd, \ self.input_size) ### NOTE: 0.3 is from YOLOv4, maybe this should be different here ### ### it means, as long as iou is over 0.3 with an anchor, the anchor ### should be taken into consideration as a ground truth label iou_mask = iou_scaled > 0.3 if np.any(iou_mask): xind, yind, zind = np.floor(np.squeeze(box_xyzwhd_scaled)[:3]).\ astype(np.int32) ### TODO: consider changing the box to raw yolohead output format ### gt_labels[xind, yind, zind, iou_mask, 0:6] = box_xyzwhd gt_labels[xind, yind, zind, iou_mask, 6:7] = 1. gt_labels[xind, yind, zind, iou_mask, 7:] = class_onehot exist_positive = True if not exist_positive: ### NOTE: this is the normal one ### ### it means take the anchor box with maximum iou to the raw ### box as the ground truth label anchor_ind = np.argmax(iou_scaled) xind, yind, zind = np.floor(np.squeeze(box_xyzwhd_scaled)[:3]).\ astype(np.int32) gt_labels[xind, yind, zind, anchor_ind, 0:6] = box_xyzwhd gt_labels[xind, yind, zind, anchor_ind, 6:7] = 1. gt_labels[xind, yind, zind, anchor_ind, 7:] = class_onehot has_label = False for label_stage in gt_labels: if label_stage.max() != 0: has_label = True gt_labels = [np.where(gt_i == 0, 1e-16, gt_i) for gt_i in gt_labels] return gt_labels, has_label, raw_boxes_xyzwhd def trainData(self,): """ Generate train data with batch size """ count = 0 while count < len(self.RAD_sequences_train): RAD_filename = self.RAD_sequences_train[count] RAD_complex = loader.readRAD(RAD_filename) if RAD_complex is None: raise ValueError("RAD file not found, please double check the path") ### NOTE: Gloabl Normalization ### RAD_data = helper.complexTo2Channels(RAD_complex) RAD_data = (RAD_data - self.config_data["global_mean_log"]) / \ self.config_data["global_variance_log"] ### load ground truth instances ### gt_filename = loader.gtfileFromRADfile(RAD_filename, \ self.config_data["train_set_dir"]) gt_instances = loader.readRadarInstances(gt_filename) if gt_instances is None: raise ValueError("gt file not found, please double check the path") ### NOTE: decode ground truth boxes to YOLO format ### gt_labels, has_label, raw_boxes = self.encodeToLabels(gt_instances) if has_label: yield (RAD_data, gt_labels, raw_boxes) count += 1 if count == len(self.RAD_sequences_train) - 1: # np.random.seed() # should I add seed here ? np.random.shuffle(self.RAD_sequences_train) def testData(self, ): """ Generate test data with batch size """ count = 0 while count < len(self.RAD_sequences_test): RAD_filename = self.RAD_sequences_test[count] RAD_complex = loader.readRAD(RAD_filename) if RAD_complex is None: raise ValueError("RAD file not found, please double check the path") ### NOTE: Gloabl Normalization ### RAD_data = helper.complexTo2Channels(RAD_complex) RAD_data = (RAD_data - self.config_data["global_mean_log"]) / \ self.config_data["global_variance_log"] ### load ground truth instances ### gt_filename = loader.gtfileFromRADfile(RAD_filename, \ self.config_data["test_set_dir"]) gt_instances = loader.readRadarInstances(gt_filename) if gt_instances is None: raise ValueError("gt file not found, please double check the path") ### NOTE: decode ground truth boxes to YOLO format ### gt_labels, has_label, raw_boxes = self.encodeToLabels(gt_instances) if has_label: yield (RAD_data, gt_labels, raw_boxes) count += 1 def validateData(self, ): """ Generate test data with batch size """ count = 0 while count < len(self.RAD_sequences_validate): RAD_filename = self.RAD_sequences_validate[count] RAD_complex = loader.readRAD(RAD_filename) if RAD_complex is None: raise ValueError("RAD file not found, please double check the path") ### NOTE: Gloabl Normalization ### RAD_data = helper.complexTo2Channels(RAD_complex) RAD_data = (RAD_data - self.config_data["global_mean_log"]) / \ self.config_data["global_variance_log"] ### load ground truth instances ### gt_filename = loader.gtfileFromRADfile(RAD_filename, \ self.config_data["train_set_dir"]) gt_instances = loader.readRadarInstances(gt_filename) if gt_instances is None: raise ValueError("gt file not found, please double check the path") ### NOTE: decode ground truth boxes to YOLO format ### gt_labels, has_label, raw_boxes = self.encodeToLabels(gt_instances) if has_label: yield (RAD_data, gt_labels, raw_boxes) count += 1 def trainGenerator(self,): """ Building data generator using tf.data.Dataset.from_generator """ return tf.data.Dataset.from_generator(self.trainData, \ output_types=(tf.float32, tf.float32, tf.float32), \ output_shapes=(tf.TensorShape(self.config_model["input_shape"]), \ tf.TensorShape(list(self.headoutput_shape[1:4]) + \ [len(self.anchor_boxes), \ 7+len(self.config_data["all_classes"])]), \ tf.TensorShape([self.config_data["max_boxes_per_frame"], 7]) \ ), ) def testGenerator(self,): """ Building data generator using tf.data.Dataset.from_generator """ return tf.data.Dataset.from_generator(self.testData, \ output_types=(tf.float32, tf.float32, tf.float32), \ output_shapes=(tf.TensorShape(self.config_model["input_shape"]), \ tf.TensorShape(list(self.headoutput_shape[1:4]) + \ [len(self.anchor_boxes), \ 7+len(self.config_data["all_classes"])]), \ tf.TensorShape([self.config_data["max_boxes_per_frame"], 7]) \ ), ) def validateGenerator(self,): """ Building data generator using tf.data.Dataset.from_generator """ return tf.data.Dataset.from_generator(self.validateData, \ output_types=(tf.float32, tf.float32, tf.float32), \ output_shapes=(tf.TensorShape(self.config_model["input_shape"]), \ tf.TensorShape(list(self.headoutput_shape[1:4]) + \ [len(self.anchor_boxes), \ 7+len(self.config_data["all_classes"])]), \ tf.TensorShape([self.config_data["max_boxes_per_frame"], 7]) \ ), ) """---------------------------------------------------------------------""" """----------------- Cartesian 2D Boxes train/test set -----------------""" """---------------------------------------------------------------------""" def getCartGridStrides(self, ): """ Get grid strides """ if self.cart_shape is not None: cart_output_shape = [int(self.config_model["input_shape"][0]), \ int(2 * self.config_model["input_shape"][0])] strides = (np.array(cart_output_shape) / np.array(self.cart_shape[1:3])) return np.array(strides).astype(np.float32) else: return None def encodeToCartBoxesLabels(self, gt_instances): """ Transfer ground truth instances into Detection Head format """ raw_boxes_xywh = np.zeros((self.config_data["max_boxes_per_frame"], 5)) ### initialize gronud truth labels as np.zeros ### gt_labels = np.zeros(list(self.cart_shape[1:3]) + \ [len(self.anchor_boxes_cart)] + \ [len(self.config_data["all_classes"]) + 5]) ### start transferring box to ground turth label format ### for i in range(len(gt_instances["classes"])): if i > self.config_data["max_boxes_per_frame"]: continue class_name = gt_instances["classes"][i] box_xywh = gt_instances["cart_boxes"][i] class_id = self.config_data["all_classes"].index(class_name) if i <= self.config_data["max_boxes_per_frame"]: raw_boxes_xywh[i, :4] = box_xywh raw_boxes_xywh[i, 4] = class_id class_onehot = helper.smoothOnehot(class_id, \ len(self.config_data["all_classes"])) exist_positive = False grid_strid = self.cart_grid_strides anchors = self.anchor_boxes_cart box_xywh_scaled = box_xywh[np.newaxis, :].astype(np.float32) box_xywh_scaled[:, :2] /= grid_strid anchors_xywh = np.zeros([len(anchors), 4]) anchors_xywh[:, :2] = np.floor(box_xywh_scaled[:, :2]) + 0.5 anchors_xywh[:, 2:] = anchors.astype(np.float32) iou_scaled = helper.iou2d(box_xywh_scaled, anchors_xywh) ### NOTE: 0.3 is from YOLOv4, maybe this should be different here ### ### it means, as long as iou is over 0.3 with an anchor, the anchor ### should be taken into consideration as a ground truth label iou_mask = iou_scaled > 0.3 if np.any(iou_mask): xind, yind = np.floor(np.squeeze(box_xywh_scaled)[:2]).astype(np.int32) ### TODO: consider changing the box to raw yolohead output format ### gt_labels[xind, yind, iou_mask, 0:4] = box_xywh gt_labels[xind, yind, iou_mask, 4:5] = 1. gt_labels[xind, yind, iou_mask, 5:] = class_onehot exist_positive = True if not exist_positive: ### NOTE: this is the normal one ### ### it means take the anchor box with maximum iou to the raw ### box as the ground truth label iou_mask = iou_scaled == iou_scaled.max() if np.any(iou_mask): xind, yind = np.floor(np.squeeze(box_xywh_scaled)[:2]).astype(np.int32) ### TODO: consider changing the box to raw yolohead output format ### gt_labels[xind, yind, iou_mask, 0:4] = box_xywh gt_labels[xind, yind, iou_mask, 4:5] = 1. gt_labels[xind, yind, iou_mask, 5:] = class_onehot has_label = False if gt_labels.max() != 0: has_label = True gt_labels = np.where(gt_labels == 0, 1e-16, gt_labels) return gt_labels, has_label, raw_boxes_xywh def trainDataCart(self,): """ Generate train data with batch size """ if self.cart_grid_strides is None: raise ValueError("Cartesian grid is None, please double check") count = 0 while count < len(self.RAD_sequences_train): RAD_filename = self.RAD_sequences_train[count] RAD_complex = loader.readRAD(RAD_filename) if RAD_complex is None: raise ValueError("RAD file not found, please double check the path") ### NOTE: Gloabl Normalization ### RAD_data = helper.complexTo2Channels(RAD_complex) RAD_data = (RAD_data - self.config_data["global_mean_log"]) / \ self.config_data["global_variance_log"] ### load ground truth instances ### gt_filename = loader.gtfileFromRADfile(RAD_filename, \ self.config_data["train_set_dir"]) gt_instances = loader.readRadarInstances(gt_filename) if gt_instances is None: raise ValueError("gt file not found, please double check the path") ### NOTE: decode ground truth boxes to YOLO format ### gt_labels, has_label, raw_boxes = self.encodeToCartBoxesLabels(gt_instances) if has_label: yield (RAD_data, gt_labels, raw_boxes) count += 1 if count == len(self.RAD_sequences_train) - 1: # np.random.seed() # should I add seed here ? np.random.shuffle(self.sequences_train) def testDataCart(self, ): if self.cart_grid_strides is None: raise ValueError("Cartesian grid is None, please double check") """ Generate test data with batch size """ count = 0 while count < len(self.RAD_sequences_test): RAD_filename = self.RAD_sequences_test[count] RAD_complex = loader.readRAD(RAD_filename) if RAD_complex is None: raise ValueError("RAD file not found, please double check the path") ### NOTE: Gloabl Normalization ### RAD_data = helper.complexTo2Channels(RAD_complex) RAD_data = (RAD_data - self.config_data["global_mean_log"]) / \ self.config_data["global_variance_log"] ### load ground truth instances ### gt_filename = loader.gtfileFromRADfile(RAD_filename, \ self.config_data["test_set_dir"]) gt_instances = loader.readRadarInstances(gt_filename) if gt_instances is None: raise ValueError("gt file not found, please double check the path") ### NOTE: decode ground truth boxes to YOLO format ### gt_labels, has_label, raw_boxes = self.encodeToCartBoxesLabels(gt_instances) if has_label: yield (RAD_data, gt_labels, raw_boxes) count += 1 def validateDataCart(self, ): if self.cart_grid_strides is None: raise ValueError("Cartesian grid is None, please double check") """ Generate test data with batch size """ count = 0 while count < len(self.RAD_sequences_validate): RAD_filename = self.RAD_sequences_validate[count] RAD_complex = loader.readRAD(RAD_filename) if RAD_complex is None: raise ValueError("RAD file not found, please double check the path") ### NOTE: Gloabl Normalization ### RAD_data = helper.complexTo2Channels(RAD_complex) RAD_data = (RAD_data - self.config_data["global_mean_log"]) / \ self.config_data["global_variance_log"] ### load ground truth instances ### gt_filename = loader.gtfileFromRADfile(RAD_filename, \ self.config_data["train_set_dir"]) gt_instances = loader.readRadarInstances(gt_filename) if gt_instances is None: raise ValueError("gt file not found, please double check the path") ### NOTE: decode ground truth boxes to YOLO format ### gt_labels, has_label, raw_boxes = self.encodeToCartBoxesLabels(gt_instances) if has_label: yield (RAD_data, gt_labels, raw_boxes) count += 1 def trainCartGenerator(self,): """ Building data generator using tf.data.Dataset.from_generator """ return tf.data.Dataset.from_generator(self.trainDataCart, \ output_types=(tf.float32, tf.float32, tf.float32), \ output_shapes=(tf.TensorShape(self.config_model["input_shape"]), \ tf.TensorShape(list(self.cart_shape[1:3]) + \ [len(self.anchor_boxes_cart)] + \ [len(self.config_data["all_classes"]) + 5]), tf.TensorShape([self.config_data["max_boxes_per_frame"], 5]) \ ), ) def testCartGenerator(self,): """ Building data generator using tf.data.Dataset.from_generator """ return tf.data.Dataset.from_generator(self.testDataCart, \ output_types=(tf.float32, tf.float32, tf.float32), \ output_shapes=(tf.TensorShape(self.config_model["input_shape"]), \ tf.TensorShape(list(self.cart_shape[1:3]) + \ [len(self.anchor_boxes_cart)] + \ [len(self.config_data["all_classes"]) + 5]), tf.TensorShape([self.config_data["max_boxes_per_frame"], 5]) \ ), ) def validateCartGenerator(self,): """ Building data generator using tf.data.Dataset.from_generator """ return tf.data.Dataset.from_generator(self.validateDataCart, \ output_types=(tf.float32, tf.float32, tf.float32), \ output_shapes=(tf.TensorShape(self.config_model["input_shape"]), \ tf.TensorShape(list(self.cart_shape[1:3]) + \ [len(self.anchor_boxes_cart)] + \ [len(self.config_data["all_classes"]) + 5]), tf.TensorShape([self.config_data["max_boxes_per_frame"], 5]) \ ), )

51.616592

94

0.565701

2,617

23,021

4.744746

0.092472

0.047516

0.051864

0.025368

0.812918

0.777966

0.745349

0.723041

0.719175

0.695498

0

0.012313

0.319143

23,021

445

95

51.732584

0.77989

0.11811

0

0.620795

0

0.081781

0

0.002247

0.003058

1

0.058104

false

0

0.015291

0

0.119266

0

null

0

1

0

null

0

6

86af8e0111ea316f1a81b1d6321fe32133d2c009

509

py

Python

TankZone/singen.py

dplassgit/games

58ad6a6b99e4f6ddaf392b16a2447a860cb4a9a7

[ "MIT" ]

null

TankZone/singen.py

dplassgit/games

58ad6a6b99e4f6ddaf392b16a2447a860cb4a9a7

[ "MIT" ]

null

TankZone/singen.py

dplassgit/games

58ad6a6b99e4f6ddaf392b16a2447a860cb4a9a7

[ "MIT" ]

null

import math def tohex(val, nbits=16): return hex((val + (1 << nbits)) % (1 << nbits)) num=160 print "sintab byte " for i in range(0,num-1): theta = (360.0/num)*i+1 val = tohex(int(127*math.sin(math.radians(theta)))) # print "%d %d $%s," % (i, theta,val[-2:]), print "$%s," % val[-2:], print print "costab byte " for i in range(0,num-1): theta = (360.0/num)*i+1 val = tohex(int(127*math.cos(math.radians(theta)))) # print "%d %d $%s," % (i, theta,val[-2:]), print "$%s," % val[-2:], print

23.136364

53

0.565815

92

509

3.130435

0.336957

0.055556

0.125

0.069444

0.701389

0

0.074163

0.178782

509

21

54

24.238095

0.614833

0.163065

0

0.5

0

0.07565

0

null

0

0.0625

null

0.375

0

null

0

1

0

null

0

1

0

6

86b72478dcfd84f15c6e8b06f0aacb08c184c9a9

72

py

Python

package/core.py

masterbee/python-template

e8337f4fb98bbafbe7e2fe0495514da4558e4325

[ "MIT" ]

null

package/core.py

masterbee/python-template

e8337f4fb98bbafbe7e2fe0495514da4558e4325

[ "MIT" ]

null

package/core.py

masterbee/python-template

e8337f4fb98bbafbe7e2fe0495514da4558e4325

[ "MIT" ]

null

# -*- coding: utf-8 -*- def takeoff(): return 'Takeoff complete!'

12

30

0.569444

8

72

5.125

0.875

0

0.017857

0.222222

72

5

31

14.4

0.714286

0.291667

0

0.346939

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

810bb7740d3a0e2665023a765eb3cca3afc3b5a4

30

py

Python

arangodb_driver/cursor.py

pablotcarreira/django-arangodb-driver

c8e3225ddb75f3119d8a7571a7afddbfd23311b3

[ "Apache-2.0" ]

28

2017-01-06T16:30:33.000Z

2021-12-11T00:57:15.000Z

arangodb_driver/cursor.py

pablotcarreira/django-arangodb-driver

c8e3225ddb75f3119d8a7571a7afddbfd23311b3

[ "Apache-2.0" ]

2

2016-10-15T12:17:28.000Z

2017-06-06T22:39:29.000Z

arangodb_driver/cursor.py

pablotcarreira/django-arangodb-driver

c8e3225ddb75f3119d8a7571a7afddbfd23311b3

[ "Apache-2.0" ]

11

2017-02-28T12:09:19.000Z

2020-08-18T10:25:17.000Z

# Pablo Carreira - 16/10/16

7.5

27

0.633333

5

30

3.8

0.8

0

0.26087

0.233333

30

3

28

10

0.565217

0.833333

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

6

810e8bab240da85d0ea19158d6fc5c81ea2f7379

2,857

py

Python

tests/test_i2c.py

amaork/raspi-io

aaea4532569010a64f3c54036b9db7eb81515d1a

[ "MIT" ]

8

2018-02-28T16:02:36.000Z

2021-08-06T12:57:39.000Z

tests/test_i2c.py

amaork/raspi-io

aaea4532569010a64f3c54036b9db7eb81515d1a

[ "MIT" ]

null

tests/test_i2c.py

amaork/raspi-io

aaea4532569010a64f3c54036b9db7eb81515d1a

[ "MIT" ]

1

2019-05-08T06:50:33.000Z

import random import unittest from raspi_io import Query, I2C from raspi_io.utility import scan_server class I2CTest(unittest.TestCase): def setUp(self): self.i2c_size = 256 address = scan_server(timeout=0.03)[0] query = Query(address) devices = query.get_i2c_list() self.assertGreaterEqual(len(devices), 1) self.i2c = I2C(address, devices[0], 0x56) def test_read(self): self.assertEqual(len(self.i2c.read(0x0, 1)), 1) self.assertEqual(len(self.i2c.read(0x11, 3)), 3) self.assertEqual(len(self.i2c.read(0x0, self.i2c_size)), self.i2c_size) def test_write(self): # Create a bytes, python3+ can using bytes w_buf = list(range(self.i2c_size)) # Write ordered data to i2c device self.assertEqual(self.i2c.write(0x0, w_buf), self.i2c_size) r_buf = bytearray(self.i2c.read(0x0, self.i2c_size)) self.assertSequenceEqual(r_buf, w_buf) # Write random data to i2c w_buf = [random.randint(0, 0xff) for _ in range(self.i2c_size)] self.assertEqual(self.i2c.write(0x0, w_buf), self.i2c_size) r_buf = bytearray(self.i2c.read(0x0, self.i2c_size)) self.assertSequenceEqual(r_buf, w_buf) # Not aligned write for start in (1, 3, 13, 123, 113, 153): w_buf = [random.randint(0, 0xff) for _ in range(start, self.i2c_size)] self.assertEqual(self.i2c.write(start, w_buf), self.i2c_size - start) r_buf = bytearray(self.i2c.read(start, self.i2c_size - start)) self.assertSequenceEqual(r_buf, w_buf) def test_ioctl_read(self): self.assertEqual(len(self.i2c.ioctl_read(0x0, 1)), 1) self.assertEqual(len(self.i2c.ioctl_read(0x11, 3)), 3) self.assertEqual(len(self.i2c.ioctl_read(0x0, self.i2c_size)), self.i2c_size) def test_ioctl_write(self): # Create a bytes, python3+ can using bytes w_buf = list(range(self.i2c_size)) # Write to i2c device self.assertEqual(self.i2c.ioctl_write(0x0, w_buf), self.i2c_size) r_buf = bytearray(self.i2c.ioctl_read(0x0, self.i2c_size)) self.assertSequenceEqual(r_buf, w_buf) # Write random data to i2c w_buf = [random.randint(0, 0xff) for _ in range(self.i2c_size)] self.assertEqual(self.i2c.write(0x0, w_buf), self.i2c_size) r_buf = bytearray(self.i2c.read(0x0, self.i2c_size)) self.assertSequenceEqual(r_buf, w_buf) # Not aligned write for start in (1, 3, 13, 123, 113, 153): w_buf = [random.randint(0, 0xff) for _ in range(start, self.i2c_size)] self.assertEqual(self.i2c.write(start, w_buf), self.i2c_size - start) r_buf = bytearray(self.i2c.read(start, self.i2c_size - start)) self.assertSequenceEqual(r_buf, w_buf)

41.405797

85

0.647532

428

2,857

4.149533

0.151869

0.165541

0.142455

0.084459

0.826577

0.775901

0.759009

0.675676

0

0.061959

0.231712

2,857

68

86

42.014706

0.747153

0.077004

0

0.5

0

0.024353

0

0.395833

1

0.104167

false

0

0.083333

0

0.208333

0

null

0

1

0

null

0

6

81193c4a549773eb538aaaa52b7ceac89bd0d7ce

2,074

py

Python

Firma data/noexamGeneral/getExams.py

Edward-Son/yhack2017

80e85820dcd9580278f20585eef97e311381dad6

[ "MIT" ]

null

Firma data/noexamGeneral/getExams.py

Edward-Son/yhack2017

80e85820dcd9580278f20585eef97e311381dad6

[ "MIT" ]

null

Firma data/noexamGeneral/getExams.py

Edward-Son/yhack2017

80e85820dcd9580278f20585eef97e311381dad6

[ "MIT" ]

1

2020-06-16T21:37:20.000Z

import xml.etree.ElementTree as ET # bad = open('/Users/li-tigre/Downloads/found-bad-people/20-common-people', 'r') # f = open('/Users/li-tigre/Desktop/FINRAChallengeData/IAPD/IA_INDVL_Feed_10_11_2017.xml/IA_Indvl_Feeds1.xml') peoplecount = 0 examcount = 0 ##---------------------- # for x in range (1, 21): # exams = open('noExam'+ str(x), 'w') # tree = ET.parse('/Users/li-tigre/Desktop/FINRAChallengeData/IAPD/IA_INDVL_Feed_10_11_2017.xml/IA_Indvl_Feeds'+ str(x)+'.xml') # root = tree.getroot() # # list = ['Uniform Combined State Law Examination', 'Uniform Investment Adviser Law Examination', 'Uniform Securities Agent State Law Examination'] # for f in root[0]: # list = ['Uniform Combined State Law Examination', 'Uniform Investment Adviser Law Examination', 'Uniform Securities Agent State Law Examination'] # peoplecount += 1 # for n in f[3]: # if n.attrib['exmNm'] in list: # examcount += 1 # list.remove(n.attrib['exmNm']) # # print(n.attrib['exmNm']) # for item in list: # exams.write(str(item) + '\n') # # exams.write(str(list) + '\n') # # exams.write(str(examcount/peoplecount)) # average = open('averageExamTaken', 'w') # average.write(str(examcount/peoplecount)) ##------------------------ ##for bad people for x in range (1, 21): bad = open('/Users/li-tigre/Downloads/found-bad-people/' + str(x) + '-common-people', 'r') f = open('/Users/li-tigre/Desktop/FINRAChallengeData/IAPD/IA_INDVL_Feed_10_11_2017.xml/IA_Indvl_Feeds' + str(x) + '.xml') with bad as fp: for line in fp: examList = ['Uniform Combined State Law Examination', 'Uniform Investment Adviser Law Examination', 'Uniform Securities Agent State Law Examination'] peoplecount += 1 list = line.split() index = int(list[-1]) # print(root[0][index][3].attrib['exmNm']) for exam in root[0][index][3]: if n.attrib['exmNm'] in list: examcount += 1 list.remove(n.attrib['exmNm']) for item in list: exams.write(str(item) + '\n') average = open('averageExamTaken', 'w') average.write(str(examcount/peoplecount))

34.566667

152

0.665381

293

2,074

4.638225

0.255973

0.092715

0.083885

0.047093

0.779249

0.758646

0.604121

0

0.026107

0.150434

2,074

59

153

35.152542

0.745176

0.56702

0

0.356895

0.155272

0

null

0

0.05

null

0

null

0

1

0

null

0

1

0

6

8130b4fac981538da05d3c73ce8232b111e731bd

79

py

Python

EMsolver/__init__.py

Juenjie/CRBMG

ef746a39853dd0f2d9a3956725b36e70cb441130

[ "Apache-2.0" ]

null

EMsolver/__init__.py

Juenjie/CRBMG

ef746a39853dd0f2d9a3956725b36e70cb441130

[ "Apache-2.0" ]

null

EMsolver/__init__.py

Juenjie/CRBMG

ef746a39853dd0f2d9a3956725b36e70cb441130

[ "Apache-2.0" ]

null

from . import region_distance from . import cuda_functions from . import solver

26.333333

29

0.822785

11

79

5.727273

0.636364

0.47619

0

0.139241

79

3

30

26.333333

0.926471

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

d49e6bfddfba3211ca6b460c9fd4a18f9728db22

157,241

py

Python

examples/uv/uv_features.py

cjgalvin/deepchem

64993a129e7f0f78fed9500298b1828ac8a0757a

[ "MIT" ]

3,782

2016-02-21T03:53:11.000Z

2022-03-31T16:10:26.000Z

examples/uv/uv_features.py

cjgalvin/deepchem

64993a129e7f0f78fed9500298b1828ac8a0757a

[ "MIT" ]

2,666

2016-02-11T01:54:54.000Z

2022-03-31T11:14:33.000Z

examples/uv/uv_features.py

cjgalvin/deepchem

64993a129e7f0f78fed9500298b1828ac8a0757a

[ "MIT" ]

1,597

2016-02-21T03:10:08.000Z

2022-03-30T13:21:28.000Z

uv_descriptors = ['D_00001', 'D_00002', 'D_00003', 'D_00004', 'D_00005', 'D_00006', 'D_00007', 'D_00008', 'D_00009', 'D_00010', 'D_00011', 'D_00012', 'D_00013', 'D_00014', 'D_00015', 'D_00016', 'D_00017', 'D_00018', 'D_00019', 'D_00020', 'D_00021', 'D_00022', 'D_00023', 'D_00024', 'D_00025', 'D_00026', 'D_00027', 'D_00028', 'D_00029', 'D_00030', 'D_00031', 'D_00032', 'D_00033', 'D_00034', 'D_00035', 'D_00036', 'D_00037', 'D_00038', 'D_00039', 'D_00040', 'D_00041', 'D_00042', 'D_00043', 'D_00044', 'D_00045', 'D_00046', 'D_00047', 'D_00048', 'D_00049', 'D_00050', 'D_00051', 'D_00052', 'D_00053', 'D_00054', 'D_00055', 'D_00056', 'D_00057', 'D_00058', 'D_00059', 'D_00060', 'D_00061', 'D_00062', 'D_00063', 'D_00064', 'D_00065', 'D_00066', 'D_00067', 'D_00068', 'D_00069', 'D_00070', 'D_00071', 'D_00072', 'D_00073', 'D_00074', 'D_00075', 'D_00076', 'D_00077', 'D_00078', 'D_00079', 'D_00080', 'D_00081', 'D_00082', 'D_00083', 'D_00084', 'D_00085', 'D_00086', 'D_00087', 'D_00088', 'D_00089', 'D_00090', 'D_00091', 'D_00092', 'D_00093', 'D_00094', 'D_00095', 'D_00096', 'D_00097', 'D_00098', 'D_00099', 'D_00100', 'D_00101', 'D_00102', 'D_00103', 'D_00104', 'D_00105', 'D_00106', 'D_00107', 'D_00108', 'D_00109', 'D_00110', 'D_00111', 'D_00112', 'D_00113', 'D_00114', 'D_00115', 'D_00116', 'D_00117', 'D_00118', 'D_00119', 'D_00120', 'D_00121', 'D_00122', 'D_00123', 'D_00124', 'D_00125', 'D_00126', 'D_00127', 'D_00128', 'D_00129', 'D_00130', 'D_00131', 'D_00132', 'D_00133', 'D_00134', 'D_00135', 'D_00136', 'D_00137', 'D_00138', 'D_00139', 'D_00140', 'D_00141', 'D_00142', 'D_00143', 'D_00144', 'D_00145', 'D_00146', 'D_00147', 'D_00148', 'D_00149', 'D_00150', 'D_00151', 'D_00152', 'D_00153', 'D_00154', 'D_00155', 'D_00156', 'D_00157', 'D_00158', 'D_00159', 'D_00160', 'D_00161', 'D_00162', 'D_00163', 'D_00164', 'D_00165', 'D_00166', 'D_00167', 'D_00168', 'D_00169', 'D_00170', 'D_00171', 'D_00172', 'D_00173', 'D_00174', 'D_00175', 'D_00176', 'D_00177', 'D_00178', 'D_00179', 'D_00180', 'D_00181', 'D_00182', 'D_00183', 'D_00184', 'D_00185', 'D_00186', 'D_00187', 'D_00188', 'D_00189', 'D_00190', 'D_00191', 'D_00192', 'D_00193', 'D_00194', 'D_00195', 'D_00196', 'D_00197', 'D_00198', 'D_00199', 'D_00200', 'D_00201', 'D_00202', 'D_00203', 'D_00204', 'D_00205', 'D_00206', 'D_00207', 'D_00208', 'D_00209', 'D_00210', 'D_00211', 'D_00212', 'D_00213', 'D_00214', 'D_00215', 'D_00216', 'D_00217', 'D_00218', 'D_00219', 'D_00220', 'D_00221', 'D_00222', 'D_00223', 'D_00224', 'D_00225', 'D_00226', 'D_00227', 'D_00228', 'D_00229', 'D_00230', 'D_00231', 'D_00232', 'D_00233', 'D_00234', 'D_00235', 'D_00236', 'D_00237', 'D_00238', 'D_00239', 'D_00240', 'D_00241', 'D_00242', 'D_00243', 'D_00244', 'D_00245', 'D_00246', 'D_00247', 'D_00248', 'D_00249', 'D_00250', 'D_00251', 'D_00252', 'D_00253', 'D_00254', 'D_00255', 'D_00256', 'D_00257', 'D_00258', 'D_00259', 'D_00260', 'D_00261', 'D_00262', 'D_00263', 'D_00264', 'D_00265', 'D_00266', 'D_00267', 'D_00268', 'D_00269', 'D_00270', 'D_00271', 'D_00272', 'D_00273', 'D_00274', 'D_00275', 'D_00276', 'D_00277', 'D_00278', 'D_00279', 'D_00280', 'D_00281', 'D_00282', 'D_00283', 'D_00284', 'D_00285', 'D_00286', 'D_00287', 'D_00288', 'D_00289', 'D_00290', 'D_00291', 'D_00292', 'D_00293', 'D_00294', 'D_00295', 'D_00296', 'D_00297', 'D_00298', 'D_00299', 'D_00300', 'D_00301', 'D_00302', 'D_00303', 'D_00304', 'D_00305', 'D_00306', 'D_00307', 'D_00308', 'D_00309', 'D_00310', 'D_00311', 'D_00312', 'D_00313', 'D_00314', 'D_00315', 'D_00316', 'D_00317', 'D_00318', 'D_00319', 'D_00320', 'D_00321', 'D_00322', 'D_00323', 'D_00324', 'D_00325', 'D_00326', 'D_00327', 'D_00328', 'D_00329', 'D_00330', 'D_00331', 'D_00332', 'D_00333', 'D_00334', 'D_00335', 'D_00336', 'D_00337', 'D_00338', 'D_00339', 'D_00340', 'D_00341', 'D_00342', 'D_00343', 'D_00344', 'D_00345', 'D_00346', 'D_00347', 'D_00348', 'D_00349', 'D_00350', 'D_00351', 'D_00352', 'D_00353', 'D_00354', 'D_00355', 'D_00356', 'D_00357', 'D_00358', 'D_00359', 'D_00360', 'D_00361', 'D_00362', 'D_00363', 'D_00364', 'D_00365', 'D_00366', 'D_00367', 'D_00368', 'D_00369', 'D_00370', 'D_00371', 'D_00372', 'D_00373', 'D_00374', 'D_00375', 'D_00376', 'D_00377', 'D_00378', 'D_00379', 'D_00380', 'D_00381', 'D_00382', 'D_00383', 'D_00384', 'D_00385', 'D_00386', 'D_00387', 'D_00388', 'D_00389', 'D_00390', 'D_00391', 'D_00392', 'D_00393', 'D_00394', 'D_00395', 'D_00396', 'D_00397', 'D_00398', 'D_00399', 'D_00400', 'D_00401', 'D_00402', 'D_00403', 'D_00404', 'D_00405', 'D_00406', 'D_00407', 'D_00408', 'D_00409', 'D_00410', 'D_00411', 'D_00412', 'D_00413', 'D_00414', 'D_00415', 'D_00416', 'D_00417', 'D_00418', 'D_00419', 'D_00420', 'D_00421', 'D_00422', 'D_00423', 'D_00424', 'D_00425', 'D_00426', 'D_00427', 'D_00428', 'D_00429', 'D_00430', 'D_00431', 'D_00432', 'D_00433', 'D_00434', 'D_00435', 'D_00436', 'D_00437', 'D_00438', 'D_00439', 'D_00440', 'D_00441', 'D_00442', 'D_00443', 'D_00444', 'D_00445', 'D_00446', 'D_00447', 'D_00448', 'D_00449', 'D_00450', 'D_00451', 'D_00452', 'D_00453', 'D_00454', 'D_00455', 'D_00456', 'D_00457', 'D_00458', 'D_00459', 'D_00460', 'D_00461', 'D_00462', 'D_00463', 'D_00464', 'D_00465', 'D_00466', 'D_00467', 'D_00468', 'D_00469', 'D_00470', 'D_00471', 'D_00472', 'D_00473', 'D_00474', 'D_00475', 'D_00476', 'D_00477', 'D_00478', 'D_00479', 'D_00480', 'D_00481', 'D_00482', 'D_00483', 'D_00484', 'D_00485', 'D_00486', 'D_00487', 'D_00488', 'D_00489', 'D_00490', 'D_00491', 'D_00492', 'D_00493', 'D_00494', 'D_00495', 'D_00496', 'D_00497', 'D_00498', 'D_00499', 'D_00500', 'D_00501', 'D_00502', 'D_00503', 'D_00504', 'D_00505', 'D_00506', 'D_00507', 'D_00508', 'D_00509', 'D_00510', 'D_00511', 'D_00512', 'D_00513', 'D_00514', 'D_00515', 'D_00516', 'D_00517', 'D_00518', 'D_00519', 'D_00520', 'D_00521', 'D_00522', 'D_00523', 'D_00524', 'D_00525', 'D_00526', 'D_00527', 'D_00528', 'D_00529', 'D_00530', 'D_00531', 'D_00532', 'D_00533', 'D_00534', 'D_00535', 'D_00536', 'D_00537', 'D_00538', 'D_00539', 'D_00540', 'D_00541', 'D_00542', 'D_00543', 'D_00544', 'D_00545', 'D_00546', 'D_00547', 'D_00548', 'D_00549', 'D_00550', 'D_00551', 'D_00552', 'D_00553', 'D_00554', 'D_00555', 'D_00556', 'D_00557', 'D_00558', 'D_00559', 'D_00560', 'D_00561', 'D_00562', 'D_00563', 'D_00564', 'D_00565', 'D_00566', 'D_00567', 'D_00568', 'D_00569', 'D_00570', 'D_00571', 'D_00572', 'D_00573', 'D_00574', 'D_00575', 'D_00576', 'D_00577', 'D_00578', 'D_00579', 'D_00580', 'D_00581', 'D_00582', 'D_00583', 'D_00584', 'D_00585', 'D_00586', 'D_00587', 'D_00588', 'D_00589', 'D_00590', 'D_00591', 'D_00592', 'D_00593', 'D_00594', 'D_00595', 'D_00596', 'D_00597', 'D_00598', 'D_00599', 'D_00600', 'D_00601', 'D_00602', 'D_00603', 'D_00604', 'D_00605', 'D_00606', 'D_00607', 'D_00608', 'D_00609', 'D_00610', 'D_00611', 'D_00612', 'D_00613', 'D_00614', 'D_00615', 'D_00616', 'D_00617', 'D_00618', 'D_00619', 'D_00620', 'D_00621', 'D_00622', 'D_00623', 'D_00624', 'D_00625', 'D_00626', 'D_00627', 'D_00628', 'D_00629', 'D_00630', 'D_00631', 'D_00632', 'D_00633', 'D_00634', 'D_00635', 'D_00636', 'D_00637', 'D_00638', 'D_00639', 'D_00640', 'D_00641', 'D_00642', 'D_00643', 'D_00644', 'D_00645', 'D_00646', 'D_00647', 'D_00648', 'D_00649', 'D_00650', 'D_00651', 'D_00652', 'D_00653', 'D_00654', 'D_00655', 'D_00656', 'D_00657', 'D_00658', 'D_00659', 'D_00660', 'D_00661', 'D_00662', 'D_00663', 'D_00664', 'D_00665', 'D_00666', 'D_00667', 'D_00668', 'D_00669', 'D_00670', 'D_00671', 'D_00672', 'D_00673', 'D_00674', 'D_00675', 'D_00676', 'D_00677', 'D_00678', 'D_00679', 'D_00680', 'D_00681', 'D_00682', 'D_00683', 'D_00684', 'D_00685', 'D_00686', 'D_00687', 'D_00688', 'D_00689', 'D_00690', 'D_00691', 'D_00692', 'D_00693', 'D_00694', 'D_00695', 'D_00696', 'D_00697', 'D_00698', 'D_00699', 'D_00700', 'D_00701', 'D_00702', 'D_00703', 'D_00704', 'D_00705', 'D_00706', 'D_00707', 'D_00708', 'D_00709', 'D_00710', 'D_00711', 'D_00712', 'D_00713', 'D_00714', 'D_00715', 'D_00716', 'D_00717', 'D_00718', 'D_00719', 'D_00720', 'D_00721', 'D_00722', 'D_00723', 'D_00724', 'D_00725', 'D_00726', 'D_00727', 'D_00728', 'D_00729', 'D_00730', 'D_00731', 'D_00732', 'D_00733', 'D_00734', 'D_00735', 'D_00736', 'D_00737', 'D_00738', 'D_00739', 'D_00740', 'D_00741', 'D_00742', 'D_00743', 'D_00744', 'D_00745', 'D_00746', 'D_00747', 'D_00748', 'D_00749', 'D_00750', 'D_00751', 'D_00752', 'D_00753', 'D_00754', 'D_00755', 'D_00756', 'D_00757', 'D_00758', 'D_00759', 'D_00760', 'D_00761', 'D_00762', 'D_00763', 'D_00764', 'D_00765', 'D_00766', 'D_00767', 'D_00768', 'D_00769', 'D_00770', 'D_00771', 'D_00772', 'D_00773', 'D_00774', 'D_00775', 'D_00776', 'D_00777', 'D_00778', 'D_00779', 'D_00780', 'D_00781', 'D_00782', 'D_00783', 'D_00784', 'D_00785', 'D_00786', 'D_00787', 'D_00788', 'D_00789', 'D_00790', 'D_00791', 'D_00792', 'D_00793', 'D_00794', 'D_00795', 'D_00796', 'D_00797', 'D_00798', 'D_00799', 'D_00800', 'D_00801', 'D_00802', 'D_00803', 'D_00804', 'D_00805', 'D_00806', 'D_00807', 'D_00808', 'D_00809', 'D_00810', 'D_00811', 'D_00812', 'D_00813', 'D_00814', 'D_00815', 'D_00816', 'D_00817', 'D_00818', 'D_00819', 'D_00820', 'D_00821', 'D_00822', 'D_00823', 'D_00824', 'D_00825', 'D_00826', 'D_00827', 'D_00828', 'D_00829', 'D_00830', 'D_00831', 'D_00832', 'D_00833', 'D_00834', 'D_00835', 'D_00836', 'D_00837', 'D_00838', 'D_00839', 'D_00840', 'D_00841', 'D_00842', 'D_00843', 'D_00844', 'D_00845', 'D_00846', 'D_00847', 'D_00848', 'D_00849', 'D_00850', 'D_00851', 'D_00852', 'D_00853', 'D_00854', 'D_00855', 'D_00856', 'D_00857', 'D_00858', 'D_00859', 'D_00860', 'D_00861', 'D_00862', 'D_00863', 'D_00864', 'D_00865', 'D_00866', 'D_00867', 'D_00868', 'D_00869', 'D_00870', 'D_00871', 'D_00872', 'D_00873', 'D_00874', 'D_00875', 'D_00876', 'D_00877', 'D_00878', 'D_00879', 'D_00880', 'D_00881', 'D_00882', 'D_00883', 'D_00884', 'D_00885', 'D_00886', 'D_00887', 'D_00888', 'D_00889', 'D_00890', 'D_00891', 'D_00892', 'D_00893', 'D_00894', 'D_00895', 'D_00896', 'D_00897', 'D_00898', 'D_00899', 'D_00900', 'D_00901', 'D_00902', 'D_00903', 'D_00904', 'D_00905', 'D_00906', 'D_00907', 'D_00908', 'D_00909', 'D_00910', 'D_00911', 'D_00912', 'D_00913', 'D_00914', 'D_00915', 'D_00916', 'D_00917', 'D_00918', 'D_00919', 'D_00920', 'D_00921', 'D_00922', 'D_00923', 'D_00924', 'D_00925', 'D_00926', 'D_00927', 'D_00928', 'D_00929', 'D_00930', 'D_00931', 'D_00932', 'D_00933', 'D_00934', 'D_00935', 'D_00936', 'D_00937', 'D_00938', 'D_00939', 'D_00940', 'D_00941', 'D_00942', 'D_00943', 'D_00944', 'D_00945', 'D_00946', 'D_00947', 'D_00948', 'D_00949', 'D_00950', 'D_00951', 'D_00952', 'D_00953', 'D_00954', 'D_00955', 'D_00956', 'D_00957', 'D_00958', 'D_00959', 'D_00960', 'D_00961', 'D_00962', 'D_00963', 'D_00964', 'D_00965', 'D_00966', 'D_00967', 'D_00968', 'D_00969', 'D_00970', 'D_00971', 'D_00972', 'D_00973', 'D_00974', 'D_00975', 'D_00976', 'D_00977', 'D_00978', 'D_00979', 'D_00980', 'D_00981', 'D_00982', 'D_00983', 'D_00984', 'D_00985', 'D_00986', 'D_00987', 'D_00988', 'D_00989', 'D_00990', 'D_00991', 'D_00992', 'D_00993', 'D_00994', 'D_00995', 'D_00996', 'D_00997', 'D_00998', 'D_00999', 'D_01000', 'D_01001', 'D_01002', 'D_01003', 'D_01004', 'D_01005', 'D_01006', 'D_01007', 'D_01008', 'D_01009', 'D_01010', 'D_01011', 'D_01012', 'D_01013', 'D_01014', 'D_01015', 'D_01016', 'D_01017', 'D_01018', 'D_01019', 'D_01020', 'D_01021', 'D_01022', 'D_01023', 'D_01024', 'D_01025', 'D_01026', 'D_01027', 'D_01028', 'D_01029', 'D_01030', 'D_01031', 'D_01032', 'D_01033', 'D_01034', 'D_01035', 'D_01036', 'D_01037', 'D_01038', 'D_01039', 'D_01040', 'D_01041', 'D_01042', 'D_01043', 'D_01044', 'D_01045', 'D_01046', 'D_01047', 'D_01048', 'D_01049', 'D_01050', 'D_01051', 'D_01052', 'D_01053', 'D_01054', 'D_01055', 'D_01056', 'D_01057', 'D_01058', 'D_01059', 'D_01060', 'D_01061', 'D_01062', 'D_01063', 'D_01064', 'D_01065', 'D_01066', 'D_01067', 'D_01068', 'D_01069', 'D_01070', 'D_01071', 'D_01072', 'D_01073', 'D_01074', 'D_01075', 'D_01076', 'D_01077', 'D_01078', 'D_01079', 'D_01080', 'D_01081', 'D_01082', 'D_01083', 'D_01084', 'D_01085', 'D_01086', 'D_01087', 'D_01088', 'D_01089', 'D_01090', 'D_01091', 'D_01092', 'D_01093', 'D_01094', 'D_01095', 'D_01096', 'D_01097', 'D_01098', 'D_01099', 'D_01100', 'D_01101', 'D_01102', 'D_01103', 'D_01104', 'D_01105', 'D_01106', 'D_01107', 'D_01108', 'D_01109', 'D_01110', 'D_01111', 'D_01112', 'D_01113', 'D_01114', 'D_01115', 'D_01116', 'D_01117', 'D_01118', 'D_01119', 'D_01120', 'D_01121', 'D_01122', 'D_01123', 'D_01124', 'D_01125', 'D_01126', 'D_01127', 'D_01128', 'D_01129', 'D_01130', 'D_01131', 'D_01132', 'D_01133', 'D_01134', 'D_01135', 'D_01136', 'D_01137', 'D_01138', 'D_01139', 'D_01140', 'D_01141', 'D_01142', 'D_01143', 'D_01144', 'D_01145', 'D_01146', 'D_01147', 'D_01148', 'D_01149', 'D_01150', 'D_01151', 'D_01152', 'D_01153', 'D_01154', 'D_01155', 'D_01156', 'D_01157', 'D_01158', 'D_01159', 'D_01160', 'D_01161', 'D_01162', 'D_01163', 'D_01164', 'D_01165', 'D_01166', 'D_01167', 'D_01168', 'D_01169', 'D_01170', 'D_01171', 'D_01172', 'D_01173', 'D_01174', 'D_01175', 'D_01176', 'D_01177', 'D_01178', 'D_01179', 'D_01180', 'D_01181', 'D_01182', 'D_01183', 'D_01184', 'D_01185', 'D_01186', 'D_01187', 'D_01188', 'D_01189', 'D_01190', 'D_01191', 'D_01192', 'D_01193', 'D_01194', 'D_01195', 'D_01196', 'D_01197', 'D_01198', 'D_01199', 'D_01200', 'D_01201', 'D_01202', 'D_01203', 'D_01204', 'D_01205', 'D_01206', 'D_01207', 'D_01208', 'D_01209', 'D_01210', 'D_01211', 'D_01212', 'D_01213', 'D_01214', 'D_01215', 'D_01216', 'D_01217', 'D_01218', 'D_01219', 'D_01220', 'D_01221', 'D_01222', 'D_01223', 'D_01224', 'D_01225', 'D_01226', 'D_01227', 'D_01228', 'D_01229', 'D_01230', 'D_01231', 'D_01232', 'D_01233', 'D_01234', 'D_01235', 'D_01236', 'D_01237', 'D_01238', 'D_01239', 'D_01240', 'D_01241', 'D_01242', 'D_01243', 'D_01244', 'D_01245', 'D_01246', 'D_01247', 'D_01248', 'D_01249', 'D_01250', 'D_01251', 'D_01252', 'D_01253', 'D_01254', 'D_01255', 'D_01256', 'D_01257', 'D_01258', 'D_01259', 'D_01260', 'D_01261', 'D_01262', 'D_01263', 'D_01264', 'D_01265', 'D_01266', 'D_01267', 'D_01268', 'D_01269', 'D_01270', 'D_01271', 'D_01272', 'D_01273', 'D_01274', 'D_01275', 'D_01276', 'D_01277', 'D_01278', 'D_01279', 'D_01280', 'D_01281', 'D_01282', 'D_01283', 'D_01284', 'D_01285', 'D_01286', 'D_01287', 'D_01288', 'D_01289', 'D_01290', 'D_01291', 'D_01292', 'D_01293', 'D_01294', 'D_01295', 'D_01296', 'D_01297', 'D_01298', 'D_01299', 'D_01300', 'D_01301', 'D_01302', 'D_01303', 'D_01304', 'D_01305', 'D_01306', 'D_01307', 'D_01308', 'D_01309', 'D_01310', 'D_01311', 'D_01312', 'D_01313', 'D_01314', 'D_01315', 'D_01316', 'D_01317', 'D_01318', 'D_01319', 'D_01320', 'D_01321', 'D_01322', 'D_01323', 'D_01324', 'D_01325', 'D_01326', 'D_01327', 'D_01328', 'D_01329', 'D_01330', 'D_01331', 'D_01332', 'D_01333', 'D_01334', 'D_01335', 'D_01336', 'D_01337', 'D_01338', 'D_01339', 'D_01340', 'D_01341', 'D_01342', 'D_01343', 'D_01344', 'D_01345', 'D_01346', 'D_01347', 'D_01348', 'D_01349', 'D_01350', 'D_01351', 'D_01352', 'D_01353', 'D_01354', 'D_01355', 'D_01356', 'D_01357', 'D_01358', 'D_01359', 'D_01360', 'D_01361', 'D_01362', 'D_01363', 'D_01364', 'D_01365', 'D_01366', 'D_01367', 'D_01368', 'D_01369', 'D_01370', 'D_01371', 'D_01372', 'D_01373', 'D_01374', 'D_01375', 'D_01376', 'D_01377', 'D_01378', 'D_01379', 'D_01380', 'D_01381', 'D_01382', 'D_01383', 'D_01384', 'D_01385', 'D_01386', 'D_01387', 'D_01388', 'D_01389', 'D_01390', 'D_01391', 'D_01392', 'D_01393', 'D_01394', 'D_01395', 'D_01396', 'D_01397', 'D_01398', 'D_01399', 'D_01400', 'D_01401', 'D_01402', 'D_01403', 'D_01404', 'D_01405', 'D_01406', 'D_01407', 'D_01408', 'D_01409', 'D_01410', 'D_01411', 'D_01412', 'D_01413', 'D_01414', 'D_01415', 'D_01416', 'D_01417', 'D_01418', 'D_01419', 'D_01420', 'D_01421', 'D_01422', 'D_01423', 'D_01424', 'D_01425', 'D_01426', 'D_01427', 'D_01428', 'D_01429', 'D_01430', 'D_01431', 'D_01432', 'D_01433', 'D_01434', 'D_01435', 'D_01436', 'D_01437', 'D_01438', 'D_01439', 'D_01440', 'D_01441', 'D_01442', 'D_01443', 'D_01444', 'D_01445', 'D_01446', 'D_01447', 'D_01448', 'D_01449', 'D_01450', 'D_01451', 'D_01452', 'D_01453', 'D_01454', 'D_01455', 'D_01456', 'D_01457', 'D_01458', 'D_01459', 'D_01460', 'D_01461', 'D_01462', 'D_01463', 'D_01464', 'D_01465', 'D_01466', 'D_01467', 'D_01468', 'D_01469', 'D_01470', 'D_01471', 'D_01472', 'D_01473', 'D_01474', 'D_01475', 'D_01476', 'D_01477', 'D_01478', 'D_01479', 'D_01480', 'D_01481', 'D_01482', 'D_01483', 'D_01484', 'D_01485', 'D_01486', 'D_01487', 'D_01488', 'D_01489', 'D_01490', 'D_01491', 'D_01492', 'D_01493', 'D_01494', 'D_01495', 'D_01496', 'D_01497', 'D_01498', 'D_01499', 'D_01500', 'D_01501', 'D_01502', 'D_01503', 'D_01504', 'D_01505', 'D_01506', 'D_01507', 'D_01508', 'D_01509', 'D_01510', 'D_01511', 'D_01512', 'D_01513', 'D_01514', 'D_01515', 'D_01516', 'D_01517', 'D_01518', 'D_01519', 'D_01520', 'D_01521', 'D_01522', 'D_01523', 'D_01524', 'D_01525', 'D_01526', 'D_01527', 'D_01528', 'D_01529', 'D_01530', 'D_01531', 'D_01532', 'D_01533', 'D_01534', 'D_01535', 'D_01536', 'D_01537', 'D_01538', 'D_01539', 'D_01540', 'D_01541', 'D_01542', 'D_01543', 'D_01544', 'D_01545', 'D_01546', 'D_01547', 'D_01548', 'D_01549', 'D_01550', 'D_01551', 'D_01552', 'D_01553', 'D_01554', 'D_01555', 'D_01556', 'D_01557', 'D_01558', 'D_01559', 'D_01560', 'D_01561', 'D_01562', 'D_01563', 'D_01564', 'D_01565', 'D_01566', 'D_01567', 'D_01568', 'D_01569', 'D_01570', 'D_01571', 'D_01572', 'D_01573', 'D_01574', 'D_01575', 'D_01576', 'D_01577', 'D_01578', 'D_01579', 'D_01580', 'D_01581', 'D_01582', 'D_01583', 'D_01584', 'D_01585', 'D_01586', 'D_01587', 'D_01588', 'D_01589', 'D_01590', 'D_01591', 'D_01592', 'D_01593', 'D_01594', 'D_01595', 'D_01596', 'D_01597', 'D_01598', 'D_01599', 'D_01600', 'D_01601', 'D_01602', 'D_01603', 'D_01604', 'D_01605', 'D_01606', 'D_01607', 'D_01608', 'D_01609', 'D_01610', 'D_01611', 'D_01612', 'D_01613', 'D_01614', 'D_01615', 'D_01616', 'D_01617', 'D_01618', 'D_01619', 'D_01620', 'D_01621', 'D_01622', 'D_01623', 'D_01624', 'D_01625', 'D_01626', 'D_01627', 'D_01628', 'D_01629', 'D_01630', 'D_01631', 'D_01632', 'D_01633', 'D_01634', 'D_01635', 'D_01636', 'D_01637', 'D_01638', 'D_01639', 'D_01640', 'D_01641', 'D_01642', 'D_01643', 'D_01644', 'D_01645', 'D_01646', 'D_01647', 'D_01648', 'D_01649', 'D_01650', 'D_01651', 'D_01652', 'D_01653', 'D_01654', 'D_01655', 'D_01656', 'D_01657', 'D_01658', 'D_01659', 'D_01660', 'D_01661', 'D_01662', 'D_01663', 'D_01664', 'D_01665', 'D_01666', 'D_01667', 'D_01668', 'D_01669', 'D_01670', 'D_01671', 'D_01672', 'D_01673', 'D_01674', 'D_01675', 'D_01676', 'D_01677', 'D_01678', 'D_01679', 'D_01680', 'D_01681', 'D_01682', 'D_01683', 'D_01684', 'D_01685', 'D_01686', 'D_01687', 'D_01688', 'D_01689', 'D_01690', 'D_01691', 'D_01692', 'D_01693', 'D_01694', 'D_01695', 'D_01696', 'D_01697', 'D_01698', 'D_01699', 'D_01700', 'D_01701', 'D_01702', 'D_01703', 'D_01704', 'D_01705', 'D_01706', 'D_01707', 'D_01708', 'D_01709', 'D_01710', 'D_01711', 'D_01712', 'D_01713', 'D_01714', 'D_01715', 'D_01716', 'D_01717', 'D_01718', 'D_01719', 'D_01720', 'D_01721', 'D_01722', 'D_01723', 'D_01724', 'D_01725', 'D_01726', 'D_01727', 'D_01728', 'D_01729', 'D_01730', 'D_01731', 'D_01732', 'D_01733', 'D_01734', 'D_01735', 'D_01736', 'D_01737', 'D_01738', 'D_01739', 'D_01740', 'D_01741', 'D_01742', 'D_01743', 'D_01744', 'D_01745', 'D_01746', 'D_01747', 'D_01748', 'D_01749', 'D_01750', 'D_01751', 'D_01752', 'D_01753', 'D_01754', 'D_01755', 'D_01756', 'D_01757', 'D_01758', 'D_01759', 'D_01760', 'D_01761', 'D_01762', 'D_01763', 'D_01764', 'D_01765', 'D_01766', 'D_01767', 'D_01768', 'D_01769', 'D_01770', 'D_01771', 'D_01772', 'D_01773', 'D_01774', 'D_01775', 'D_01776', 'D_01777', 'D_01778', 'D_01779', 'D_01780', 'D_01781', 'D_01782', 'D_01783', 'D_01784', 'D_01785', 'D_01786', 'D_01787', 'D_01788', 'D_01789', 'D_01790', 'D_01791', 'D_01792', 'D_01793', 'D_01794', 'D_01795', 'D_01796', 'D_01797', 'D_01798', 'D_01799', 'D_01800', 'D_01801', 'D_01802', 'D_01803', 'D_01804', 'D_01805', 'D_01806', 'D_01807', 'D_01808', 'D_01809', 'D_01810', 'D_01811', 'D_01812', 'D_01813', 'D_01814', 'D_01815', 'D_01816', 'D_01817', 'D_01818', 'D_01819', 'D_01820', 'D_01821', 'D_01822', 'D_01823', 'D_01824', 'D_01825', 'D_01826', 'D_01827', 'D_01828', 'D_01829', 'D_01830', 'D_01831', 'D_01832', 'D_01833', 'D_01834', 'D_01835', 'D_01836', 'D_01837', 'D_01838', 'D_01839', 'D_01840', 'D_01841', 'D_01842', 'D_01843', 'D_01844', 'D_01845', 'D_01846', 'D_01847', 'D_01848', 'D_01849', 'D_01850', 'D_01851', 'D_01852', 'D_01853', 'D_01854', 'D_01855', 'D_01856', 'D_01857', 'D_01858', 'D_01859', 'D_01860', 'D_01861', 'D_01862', 'D_01863', 'D_01864', 'D_01865', 'D_01866', 'D_01867', 'D_01868', 'D_01869', 'D_01870', 'D_01871', 'D_01872', 'D_01873', 'D_01874', 'D_01875', 'D_01876', 'D_01877', 'D_01878', 'D_01879', 'D_01880', 'D_01881', 'D_01882', 'D_01883', 'D_01884', 'D_01885', 'D_01886', 'D_01887', 'D_01888', 'D_01889', 'D_01890', 'D_01891', 'D_01892', 'D_01893', 'D_01894', 'D_01895', 'D_01896', 'D_01897', 'D_01898', 'D_01899', 'D_01900', 'D_01901', 'D_01902', 'D_01903', 'D_01904', 'D_01905', 'D_01906', 'D_01907', 'D_01908', 'D_01909', 'D_01910', 'D_01911', 'D_01912', 'D_01913', 'D_01914', 'D_01915', 'D_01916', 'D_01917', 'D_01918', 'D_01919', 'D_01920', 'D_01921', 'D_01922', 'D_01923', 'D_01924', 'D_01925', 'D_01926', 'D_01927', 'D_01928', 'D_01929', 'D_01930', 'D_01931', 'D_01932', 'D_01933', 'D_01934', 'D_01935', 'D_01936', 'D_01937', 'D_01938', 'D_01939', 'D_01940', 'D_01941', 'D_01942', 'D_01943', 'D_01944', 'D_01945', 'D_01946', 'D_01947', 'D_01948', 'D_01949', 'D_01950', 'D_01951', 'D_01952', 'D_01953', 'D_01954', 'D_01955', 'D_01956', 'D_01957', 'D_01958', 'D_01959', 'D_01960', 'D_01961', 'D_01962', 'D_01963', 'D_01964', 'D_01965', 'D_01966', 'D_01967', 'D_01968', 'D_01969', 'D_01970', 'D_01971', 'D_01972', 'D_01973', 'D_01974', 'D_01975', 'D_01976', 'D_01977', 'D_01978', 'D_01979', 'D_01980', 'D_01981', 'D_01982', 'D_01983', 'D_01984', 'D_01985', 'D_01986', 'D_01987', 'D_01988', 'D_01989', 'D_01990', 'D_01991', 'D_01992', 'D_01993', 'D_01994', 'D_01995', 'D_01996', 'D_01997', 'D_01998', 'D_01999', 'D_02000', 'D_02001', 'D_02002', 'D_02003', 'D_02004', 'D_02005', 'D_02006', 'D_02007', 'D_02008', 'D_02009', 'D_02010', 'D_02011', 'D_02012', 'D_02013', 'D_02014', 'D_02015', 'D_02016', 'D_02017', 'D_02018', 'D_02019', 'D_02020', 'D_02021', 'D_02022', 'D_02023', 'D_02024', 'D_02025', 'D_02026', 'D_02027', 'D_02028', 'D_02029', 'D_02030', 'D_02031', 'D_02032', 'D_02033', 'D_02034', 'D_02035', 'D_02036', 'D_02037', 'D_02038', 'D_02039', 'D_02040', 'D_02041', 'D_02042', 'D_02043', 'D_02044', 'D_02045', 'D_02046', 'D_02047', 'D_02048', 'D_02049', 'D_02050', 'D_02051', 'D_02052', 'D_02053', 'D_02054', 'D_02055', 'D_02056', 'D_02057', 'D_02058', 'D_02059', 'D_02060', 'D_02061', 'D_02062', 'D_02063', 'D_02064', 'D_02065', 'D_02066', 'D_02067', 'D_02068', 'D_02069', 'D_02070', 'D_02071', 'D_02072', 'D_02073', 'D_02074', 'D_02075', 'D_02076', 'D_02077', 'D_02078', 'D_02079', 'D_02080', 'D_02081', 'D_02082', 'D_02083', 'D_02084', 'D_02085', 'D_02086', 'D_02087', 'D_02088', 'D_02089', 'D_02090', 'D_02091', 'D_02092', 'D_02093', 'D_02094', 'D_02095', 'D_02096', 'D_02097', 'D_02098', 'D_02099', 'D_02100', 'D_02101', 'D_02102', 'D_02103', 'D_02104', 'D_02105', 'D_02106', 'D_02107', 'D_02108', 'D_02109', 'D_02110', 'D_02111', 'D_02112', 'D_02113', 'D_02114', 'D_02115', 'D_02116', 'D_02117', 'D_02118', 'D_02119', 'D_02120', 'D_02121', 'D_02122', 'D_02123', 'D_02124', 'D_02125', 'D_02126', 'D_02127', 'D_02128', 'D_02129', 'D_02130', 'D_02131', 'D_02132', 'D_02133', 'D_02134', 'D_02135', 'D_02136', 'D_02137', 'D_02138', 'D_02139', 'D_02140', 'D_02141', 'D_02142', 'D_02143', 'D_02144', 'D_02145', 'D_02146', 'D_02147', 'D_02148', 'D_02149', 'D_02150', 'D_02151', 'D_02152', 'D_02153', 'D_02154', 'D_02155', 'D_02156', 'D_02157', 'D_02158', 'D_02159', 'D_02160', 'D_02161', 'D_02162', 'D_02163', 'D_02164', 'D_02165', 'D_02166', 'D_02167', 'D_02168', 'D_02169', 'D_02170', 'D_02171', 'D_02172', 'D_02173', 'D_02174', 'D_02175', 'D_02176', 'D_02177', 'D_02178', 'D_02179', 'D_02180', 'D_02181', 'D_02182', 'D_02183', 'D_02184', 'D_02185', 'D_02186', 'D_02187', 'D_02188', 'D_02189', 'D_02190', 'D_02191', 'D_02192', 'D_02193', 'D_02194', 'D_02195', 'D_02196', 'D_02197', 'D_02198', 'D_02199', 'D_02200', 'D_02201', 'D_02202', 'D_02203', 'D_02204', 'D_02205', 'D_02206', 'D_02207', 'D_02208', 'D_02209', 'D_02210', 'D_02211', 'D_02212', 'D_02213', 'D_02214', 'D_02215', 'D_02216', 'D_02217', 'D_02218', 'D_02219', 'D_02220', 'D_02221', 'D_02222', 'D_02223', 'D_02224', 'D_02225', 'D_02226', 'D_02227', 'D_02228', 'D_02229', 'D_02230', 'D_02231', 'D_02232', 'D_02233', 'D_02234', 'D_02235', 'D_02236', 'D_02237', 'D_02238', 'D_02239', 'D_02240', 'D_02241', 'D_02242', 'D_02243', 'D_02244', 'D_02245', 'D_02246', 'D_02247', 'D_02248', 'D_02249', 'D_02250', 'D_02251', 'D_02252', 'D_02253', 'D_02254', 'D_02255', 'D_02256', 'D_02257', 'D_02258', 'D_02259', 'D_02260', 'D_02261', 'D_02262', 'D_02263', 'D_02264', 'D_02265', 'D_02266', 'D_02267', 'D_02268', 'D_02269', 'D_02270', 'D_02271', 'D_02272', 'D_02273', 'D_02274', 'D_02275', 'D_02276', 'D_02277', 'D_02278', 'D_02279', 'D_02280', 'D_02281', 'D_02282', 'D_02283', 'D_02284', 'D_02285', 'D_02286', 'D_02287', 'D_02288', 'D_02289', 'D_02290', 'D_02291', 'D_02292', 'D_02293', 'D_02294', 'D_02295', 'D_02296', 'D_02297', 'D_02298', 'D_02299', 'D_02300', 'D_02301', 'D_02302', 'D_02303', 'D_02304', 'D_02305', 'D_02306', 'D_02307', 'D_02308', 'D_02309', 'D_02310', 'D_02311', 'D_02312', 'D_02313', 'D_02314', 'D_02315', 'D_02316', 'D_02317', 'D_02318', 'D_02319', 'D_02320', 'D_02321', 'D_02322', 'D_02323', 'D_02324', 'D_02325', 'D_02326', 'D_02327', 'D_02328', 'D_02329', 'D_02330', 'D_02331', 'D_02332', 'D_02333', 'D_02334', 'D_02335', 'D_02336', 'D_02337', 'D_02338', 'D_02339', 'D_02340', 'D_02341', 'D_02342', 'D_02343', 'D_02344', 'D_02345', 'D_02346', 'D_02347', 'D_02348', 'D_02349', 'D_02350', 'D_02351', 'D_02352', 'D_02353', 'D_02354', 'D_02355', 'D_02356', 'D_02357', 'D_02358', 'D_02359', 'D_02360', 'D_02361', 'D_02362', 'D_02363', 'D_02364', 'D_02365', 'D_02366', 'D_02367', 'D_02368', 'D_02369', 'D_02370', 'D_02371', 'D_02372', 'D_02373', 'D_02374', 'D_02375', 'D_02376', 'D_02377', 'D_02378', 'D_02379', 'D_02380', 'D_02381', 'D_02382', 'D_02383', 'D_02384', 'D_02385', 'D_02386', 'D_02387', 'D_02388', 'D_02389', 'D_02390', 'D_02391', 'D_02392', 'D_02393', 'D_02394', 'D_02395', 'D_02396', 'D_02397', 'D_02398', 'D_02399', 'D_02400', 'D_02401', 'D_02402', 'D_02403', 'D_02404', 'D_02405', 'D_02406', 'D_02407', 'D_02408', 'D_02409', 'D_02410', 'D_02411', 'D_02412', 'D_02413', 'D_02414', 'D_02415', 'D_02416', 'D_02417', 'D_02418', 'D_02419', 'D_02420', 'D_02421', 'D_02422', 'D_02423', 'D_02424', 'D_02425', 'D_02426', 'D_02427', 'D_02428', 'D_02429', 'D_02430', 'D_02431', 'D_02432', 'D_02433', 'D_02434', 'D_02435', 'D_02436', 'D_02437', 'D_02438', 'D_02439', 'D_02440', 'D_02441', 'D_02442', 'D_02443', 'D_02444', 'D_02445', 'D_02446', 'D_02447', 'D_02448', 'D_02449', 'D_02450', 'D_02451', 'D_02452', 'D_02453', 'D_02454', 'D_02455', 'D_02456', 'D_02457', 'D_02458', 'D_02459', 'D_02460', 'D_02461', 'D_02462', 'D_02463', 'D_02464', 'D_02465', 'D_02466', 'D_02467', 'D_02468', 'D_02469', 'D_02470', 'D_02471', 'D_02472', 'D_02473', 'D_02474', 'D_02475', 'D_02476', 'D_02477', 'D_02478', 'D_02479', 'D_02480', 'D_02481', 'D_02482', 'D_02483', 'D_02484', 'D_02485', 'D_02486', 'D_02487', 'D_02488', 'D_02489', 'D_02490', 'D_02491', 'D_02492', 'D_02493', 'D_02494', 'D_02495', 'D_02496', 'D_02497', 'D_02498', 'D_02499', 'D_02500', 'D_02501', 'D_02502', 'D_02503', 'D_02504', 'D_02505', 'D_02506', 'D_02507', 'D_02508', 'D_02509', 'D_02510', 'D_02511', 'D_02512', 'D_02513', 'D_02514', 'D_02515', 'D_02516', 'D_02517', 'D_02518', 'D_02519', 'D_02520', 'D_02521', 'D_02522', 'D_02523', 'D_02524', 'D_02525', 'D_02526', 'D_02527', 'D_02528', 'D_02529', 'D_02530', 'D_02531', 'D_02532', 'D_02533', 'D_02534', 'D_02535', 'D_02536', 'D_02537', 'D_02538', 'D_02539', 'D_02540', 'D_02541', 'D_02542', 'D_02543', 'D_02544', 'D_02545', 'D_02546', 'D_02547', 'D_02548', 'D_02549', 'D_02550', 'D_02551', 'D_02552', 'D_02553', 'D_02554', 'D_02555', 'D_02556', 'D_02557', 'D_02558', 'D_02559', 'D_02560', 'D_02561', 'D_02562', 'D_02563', 'D_02564', 'D_02565', 'D_02566', 'D_02567', 'D_02568', 'D_02569', 'D_02570', 'D_02571', 'D_02572', 'D_02573', 'D_02574', 'D_02575', 'D_02576', 'D_02577', 'D_02578', 'D_02579', 'D_02580', 'D_02581', 'D_02582', 'D_02583', 'D_02584', 'D_02585', 'D_02586', 'D_02587', 'D_02588', 'D_02589', 'D_02590', 'D_02591', 'D_02592', 'D_02593', 'D_02594', 'D_02595', 'D_02596', 'D_02597', 'D_02598', 'D_02599', 'D_02600', 'D_02601', 'D_02602', 'D_02603', 'D_02604', 'D_02605', 'D_02606', 'D_02607', 'D_02608', 'D_02609', 'D_02610', 'D_02611', 'D_02612', 'D_02613', 'D_02614', 'D_02615', 'D_02616', 'D_02617', 'D_02618', 'D_02619', 'D_02620', 'D_02621', 'D_02622', 'D_02623', 'D_02624', 'D_02625', 'D_02626', 'D_02627', 'D_02628', 'D_02629', 'D_02630', 'D_02631', 'D_02632', 'D_02633', 'D_02634', 'D_02635', 'D_02636', 'D_02637', 'D_02638', 'D_02639', 'D_02640', 'D_02641', 'D_02642', 'D_02643', 'D_02644', 'D_02645', 'D_02646', 'D_02647', 'D_02648', 'D_02649', 'D_02650', 'D_02651', 'D_02652', 'D_02653', 'D_02654', 'D_02655', 'D_02656', 'D_02657', 'D_02658', 'D_02659', 'D_02660', 'D_02661', 'D_02662', 'D_02663', 'D_02664', 'D_02665', 'D_02666', 'D_02667', 'D_02668', 'D_02669', 'D_02670', 'D_02671', 'D_02672', 'D_02673', 'D_02674', 'D_02675', 'D_02676', 'D_02677', 'D_02678', 'D_02679', 'D_02680', 'D_02681', 'D_02682', 'D_02683', 'D_02684', 'D_02685', 'D_02686', 'D_02687', 'D_02688', 'D_02689', 'D_02690', 'D_02691', 'D_02692', 'D_02693', 'D_02694', 'D_02695', 'D_02696', 'D_02697', 'D_02698', 'D_02699', 'D_02700', 'D_02701', 'D_02702', 'D_02703', 'D_02704', 'D_02705', 'D_02706', 'D_02707', 'D_02708', 'D_02709', 'D_02710', 'D_02711', 'D_02712', 'D_02713', 'D_02714', 'D_02715', 'D_02716', 'D_02717', 'D_02718', 'D_02719', 'D_02720', 'D_02721', 'D_02722', 'D_02723', 'D_02724', 'D_02725', 'D_02726', 'D_02727', 'D_02728', 'D_02729', 'D_02730', 'D_02731', 'D_02732', 'D_02733', 'D_02734', 'D_02735', 'D_02736', 'D_02737', 'D_02738', 'D_02739', 'D_02740', 'D_02741', 'D_02742', 'D_02743', 'D_02744', 'D_02745', 'D_02746', 'D_02747', 'D_02748', 'D_02749', 'D_02750', 'D_02751', 'D_02752', 'D_02753', 'D_02754', 'D_02755', 'D_02756', 'D_02757', 'D_02758', 'D_02759', 'D_02760', 'D_02761', 'D_02762', 'D_02763', 'D_02764', 'D_02765', 'D_02766', 'D_02767', 'D_02768', 'D_02769', 'D_02770', 'D_02771', 'D_02772', 'D_02773', 'D_02774', 'D_02775', 'D_02776', 'D_02777', 'D_02778', 'D_02779', 'D_02780', 'D_02781', 'D_02782', 'D_02783', 'D_02784', 'D_02785', 'D_02786', 'D_02787', 'D_02788', 'D_02789', 'D_02790', 'D_02791', 'D_02792', 'D_02793', 'D_02794', 'D_02795', 'D_02796', 'D_02797', 'D_02798', 'D_02799', 'D_02800', 'D_02801', 'D_02802', 'D_02803', 'D_02804', 'D_02805', 'D_02806', 'D_02807', 'D_02808', 'D_02809', 'D_02810', 'D_02811', 'D_02812', 'D_02813', 'D_02814', 'D_02815', 'D_02816', 'D_02817', 'D_02818', 'D_02819', 'D_02820', 'D_02821', 'D_02822', 'D_02823', 'D_02824', 'D_02825', 'D_02826', 'D_02827', 'D_02828', 'D_02829', 'D_02830', 'D_02831', 'D_02832', 'D_02833', 'D_02834', 'D_02835', 'D_02836', 'D_02837', 'D_02838', 'D_02839', 'D_02840', 'D_02841', 'D_02842', 'D_02843', 'D_02844', 'D_02845', 'D_02846', 'D_02847', 'D_02848', 'D_02849', 'D_02850', 'D_02851', 'D_02852', 'D_02853', 'D_02854', 'D_02855', 'D_02856', 'D_02857', 'D_02858', 'D_02859', 'D_02860', 'D_02861', 'D_02862', 'D_02863', 'D_02864', 'D_02865', 'D_02866', 'D_02867', 'D_02868', 'D_02869', 'D_02870', 'D_02871', 'D_02872', 'D_02873', 'D_02874', 'D_02875', 'D_02876', 'D_02877', 'D_02878', 'D_02879', 'D_02880', 'D_02881', 'D_02882', 'D_02883', 'D_02884', 'D_02885', 'D_02886', 'D_02887', 'D_02888', 'D_02889', 'D_02890', 'D_02891', 'D_02892', 'D_02893', 'D_02894', 'D_02895', 'D_02896', 'D_02897', 'D_02898', 'D_02899', 'D_02900', 'D_02901', 'D_02902', 'D_02903', 'D_02904', 'D_02905', 'D_02906', 'D_02907', 'D_02908', 'D_02909', 'D_02910', 'D_02911', 'D_02912', 'D_02913', 'D_02914', 'D_02915', 'D_02916', 'D_02917', 'D_02918', 'D_02919', 'D_02920', 'D_02921', 'D_02922', 'D_02923', 'D_02924', 'D_02925', 'D_02926', 'D_02927', 'D_02928', 'D_02929', 'D_02930', 'D_02931', 'D_02932', 'D_02933', 'D_02934', 'D_02935', 'D_02936', 'D_02937', 'D_02938', 'D_02939', 'D_02940', 'D_02941', 'D_02942', 'D_02943', 'D_02944', 'D_02945', 'D_02946', 'D_02947', 'D_02948', 'D_02949', 'D_02950', 'D_02951', 'D_02952', 'D_02953', 'D_02954', 'D_02955', 'D_02956', 'D_02957', 'D_02958', 'D_02959', 'D_02960', 'D_02961', 'D_02962', 'D_02963', 'D_02964', 'D_02965', 'D_02966', 'D_02967', 'D_02968', 'D_02969', 'D_02970', 'D_02971', 'D_02972', 'D_02973', 'D_02974', 'D_02975', 'D_02976', 'D_02977', 'D_02978', 'D_02979', 'D_02980', 'D_02981', 'D_02982', 'D_02983', 'D_02984', 'D_02985', 'D_02986', 'D_02987', 'D_02988', 'D_02989', 'D_02990', 'D_02991', 'D_02992', 'D_02993', 'D_02994', 'D_02995', 'D_02996', 'D_02997', 'D_02998', 'D_02999', 'D_03000', 'D_03001', 'D_03002', 'D_03003', 'D_03004', 'D_03005', 'D_03006', 'D_03007', 'D_03008', 'D_03009', 'D_03010', 'D_03011', 'D_03012', 'D_03013', 'D_03014', 'D_03015', 'D_03016', 'D_03017', 'D_03018', 'D_03019', 'D_03020', 'D_03021', 'D_03022', 'D_03023', 'D_03024', 'D_03025', 'D_03026', 'D_03027', 'D_03028', 'D_03029', 'D_03030', 'D_03031', 'D_03032', 'D_03033', 'D_03034', 'D_03035', 'D_03036', 'D_03037', 'D_03038', 'D_03039', 'D_03040', 'D_03041', 'D_03042', 'D_03043', 'D_03044', 'D_03045', 'D_03046', 'D_03047', 'D_03048', 'D_03049', 'D_03050', 'D_03051', 'D_03052', 'D_03053', 'D_03054', 'D_03055', 'D_03056', 'D_03057', 'D_03058', 'D_03059', 'D_03060', 'D_03061', 'D_03062', 'D_03063', 'D_03064', 'D_03065', 'D_03066', 'D_03067', 'D_03068', 'D_03069', 'D_03070', 'D_03071', 'D_03072', 'D_03073', 'D_03074', 'D_03075', 'D_03076', 'D_03077', 'D_03078', 'D_03079', 'D_03080', 'D_03081', 'D_03082', 'D_03083', 'D_03084', 'D_03085', 'D_03086', 'D_03087', 'D_03088', 'D_03089', 'D_03090', 'D_03091', 'D_03092', 'D_03093', 'D_03094', 'D_03095', 'D_03096', 'D_03097', 'D_03098', 'D_03099', 'D_03100', 'D_03101', 'D_03102', 'D_03103', 'D_03104', 'D_03105', 'D_03106', 'D_03107', 'D_03108', 'D_03109', 'D_03110', 'D_03111', 'D_03112', 'D_03113', 'D_03114', 'D_03115', 'D_03116', 'D_03117', 'D_03118', 'D_03119', 'D_03120', 'D_03121', 'D_03122', 'D_03123', 'D_03124', 'D_03125', 'D_03126', 'D_03127', 'D_03128', 'D_03129', 'D_03130', 'D_03131', 'D_03132', 'D_03133', 'D_03134', 'D_03135', 'D_03136', 'D_03137', 'D_03138', 'D_03139', 'D_03140', 'D_03141', 'D_03142', 'D_03143', 'D_03144', 'D_03145', 'D_03146', 'D_03147', 'D_03148', 'D_03149', 'D_03150', 'D_03151', 'D_03152', 'D_03153', 'D_03154', 'D_03155', 'D_03156', 'D_03157', 'D_03158', 'D_03159', 'D_03160', 'D_03161', 'D_03162', 'D_03163', 'D_03164', 'D_03165', 'D_03166', 'D_03167', 'D_03168', 'D_03169', 'D_03170', 'D_03171', 'D_03172', 'D_03173', 'D_03174', 'D_03175', 'D_03176', 'D_03177', 'D_03178', 'D_03179', 'D_03180', 'D_03181', 'D_03182', 'D_03183', 'D_03184', 'D_03185', 'D_03186', 'D_03187', 'D_03188', 'D_03189', 'D_03190', 'D_03191', 'D_03192', 'D_03193', 'D_03194', 'D_03195', 'D_03196', 'D_03197', 'D_03198', 'D_03199', 'D_03200', 'D_03201', 'D_03202', 'D_03203', 'D_03204', 'D_03205', 'D_03206', 'D_03207', 'D_03208', 'D_03209', 'D_03210', 'D_03211', 'D_03212', 'D_03213', 'D_03214', 'D_03215', 'D_03216', 'D_03217', 'D_03218', 'D_03219', 'D_03220', 'D_03221', 'D_03222', 'D_03223', 'D_03224', 'D_03225', 'D_03226', 'D_03227', 'D_03228', 'D_03229', 'D_03230', 'D_03231', 'D_03232', 'D_03233', 'D_03234', 'D_03235', 'D_03236', 'D_03237', 'D_03238', 'D_03239', 'D_03240', 'D_03241', 'D_03242', 'D_03243', 'D_03244', 'D_03245', 'D_03246', 'D_03247', 'D_03248', 'D_03249', 'D_03250', 'D_03251', 'D_03252', 'D_03253', 'D_03254', 'D_03255', 'D_03256', 'D_03257', 'D_03258', 'D_03259', 'D_03260', 'D_03261', 'D_03262', 'D_03263', 'D_03264', 'D_03265', 'D_03266', 'D_03267', 'D_03268', 'D_03269', 'D_03270', 'D_03271', 'D_03272', 'D_03273', 'D_03274', 'D_03275', 'D_03276', 'D_03277', 'D_03278', 'D_03279', 'D_03280', 'D_03281', 'D_03282', 'D_03283', 'D_03284', 'D_03285', 'D_03286', 'D_03287', 'D_03288', 'D_03289', 'D_03290', 'D_03291', 'D_03292', 'D_03293', 'D_03294', 'D_03295', 'D_03296', 'D_03297', 'D_03298', 'D_03299', 'D_03300', 'D_03301', 'D_03302', 'D_03303', 'D_03304', 'D_03305', 'D_03306', 'D_03307', 'D_03308', 'D_03309', 'D_03310', 'D_03311', 'D_03312', 'D_03313', 'D_03314', 'D_03315', 'D_03316', 'D_03317', 'D_03318', 'D_03319', 'D_03320', 'D_03321', 'D_03322', 'D_03323', 'D_03324', 'D_03325', 'D_03326', 'D_03327', 'D_03328', 'D_03329', 'D_03330', 'D_03331', 'D_03332', 'D_03333', 'D_03334', 'D_03335', 'D_03336', 'D_03337', 'D_03338', 'D_03339', 'D_03340', 'D_03341', 'D_03342', 'D_03343', 'D_03344', 'D_03345', 'D_03346', 'D_03347', 'D_03348', 'D_03349', 'D_03350', 'D_03351', 'D_03352', 'D_03353', 'D_03354', 'D_03355', 'D_03356', 'D_03357', 'D_03358', 'D_03359', 'D_03360', 'D_03361', 'D_03362', 'D_03363', 'D_03364', 'D_03365', 'D_03366', 'D_03367', 'D_03368', 'D_03369', 'D_03370', 'D_03371', 'D_03372', 'D_03373', 'D_03374', 'D_03375', 'D_03376', 'D_03377', 'D_03378', 'D_03379', 'D_03380', 'D_03381', 'D_03382', 'D_03383', 'D_03384', 'D_03385', 'D_03386', 'D_03387', 'D_03388', 'D_03389', 'D_03390', 'D_03391', 'D_03392', 'D_03393', 'D_03394', 'D_03395', 'D_03396', 'D_03397', 'D_03398', 'D_03399', 'D_03400', 'D_03401', 'D_03402', 'D_03403', 'D_03404', 'D_03405', 'D_03406', 'D_03407', 'D_03408', 'D_03409', 'D_03410', 'D_03411', 'D_03412', 'D_03413', 'D_03414', 'D_03415', 'D_03416', 'D_03417', 'D_03418', 'D_03419', 'D_03420', 'D_03421', 'D_03422', 'D_03423', 'D_03424', 'D_03425', 'D_03426', 'D_03427', 'D_03428', 'D_03429', 'D_03430', 'D_03431', 'D_03432', 'D_03433', 'D_03434', 'D_03435', 'D_03436', 'D_03437', 'D_03438', 'D_03439', 'D_03440', 'D_03441', 'D_03442', 'D_03443', 'D_03444', 'D_03445', 'D_03446', 'D_03447', 'D_03448', 'D_03449', 'D_03450', 'D_03451', 'D_03452', 'D_03453', 'D_03454', 'D_03455', 'D_03456', 'D_03457', 'D_03458', 'D_03459', 'D_03460', 'D_03461', 'D_03462', 'D_03463', 'D_03464', 'D_03465', 'D_03466', 'D_03467', 'D_03468', 'D_03469', 'D_03470', 'D_03471', 'D_03472', 'D_03473', 'D_03474', 'D_03475', 'D_03476', 'D_03477', 'D_03478', 'D_03479', 'D_03480', 'D_03481', 'D_03482', 'D_03483', 'D_03484', 'D_03485', 'D_03486', 'D_03487', 'D_03488', 'D_03489', 'D_03490', 'D_03491', 'D_03492', 'D_03493', 'D_03494', 'D_03495', 'D_03496', 'D_03497', 'D_03498', 'D_03499', 'D_03500', 'D_03501', 'D_03502', 'D_03503', 'D_03504', 'D_03505', 'D_03506', 'D_03507', 'D_03508', 'D_03509', 'D_03510', 'D_03511', 'D_03512', 'D_03513', 'D_03514', 'D_03515', 'D_03516', 'D_03517', 'D_03518', 'D_03519', 'D_03520', 'D_03521', 'D_03522', 'D_03523', 'D_03524', 'D_03525', 'D_03526', 'D_03527', 'D_03528', 'D_03529', 'D_03530', 'D_03531', 'D_03532', 'D_03533', 'D_03534', 'D_03535', 'D_03536', 'D_03537', 'D_03538', 'D_03539', 'D_03540', 'D_03541', 'D_03542', 'D_03543', 'D_03544', 'D_03545', 'D_03546', 'D_03547', 'D_03548', 'D_03549', 'D_03550', 'D_03551', 'D_03552', 'D_03553', 'D_03554', 'D_03555', 'D_03556', 'D_03557', 'D_03558', 'D_03559', 'D_03560', 'D_03561', 'D_03562', 'D_03563', 'D_03564', 'D_03565', 'D_03566', 'D_03567', 'D_03568', 'D_03569', 'D_03570', 'D_03571', 'D_03572', 'D_03573', 'D_03574', 'D_03575', 'D_03576', 'D_03577', 'D_03578', 'D_03579', 'D_03580', 'D_03581', 'D_03582', 'D_03583', 'D_03584', 'D_03585', 'D_03586', 'D_03587', 'D_03588', 'D_03589', 'D_03590', 'D_03591', 'D_03592', 'D_03593', 'D_03594', 'D_03595', 'D_03596', 'D_03597', 'D_03598', 'D_03599', 'D_03600', 'D_03601', 'D_03602', 'D_03603', 'D_03604', 'D_03605', 'D_03606', 'D_03607', 'D_03608', 'D_03609', 'D_03610', 'D_03611', 'D_03612', 'D_03613', 'D_03614', 'D_03615', 'D_03616', 'D_03617', 'D_03618', 'D_03619', 'D_03620', 'D_03621', 'D_03622', 'D_03623', 'D_03624', 'D_03625', 'D_03626', 'D_03627', 'D_03628', 'D_03629', 'D_03630', 'D_03631', 'D_03632', 'D_03633', 'D_03634', 'D_03635', 'D_03636', 'D_03637', 'D_03638', 'D_03639', 'D_03640', 'D_03641', 'D_03642', 'D_03643', 'D_03644', 'D_03645', 'D_03646', 'D_03647', 'D_03648', 'D_03649', 'D_03650', 'D_03651', 'D_03652', 'D_03653', 'D_03654', 'D_03655', 'D_03656', 'D_03657', 'D_03658', 'D_03659', 'D_03660', 'D_03661', 'D_03662', 'D_03663', 'D_03664', 'D_03665', 'D_03666', 'D_03667', 'D_03668', 'D_03669', 'D_03670', 'D_03671', 'D_03672', 'D_03673', 'D_03674', 'D_03675', 'D_03676', 'D_03677', 'D_03678', 'D_03679', 'D_03680', 'D_03681', 'D_03682', 'D_03683', 'D_03684', 'D_03685', 'D_03686', 'D_03687', 'D_03688', 'D_03689', 'D_03690', 'D_03691', 'D_03692', 'D_03693', 'D_03694', 'D_03695', 'D_03696', 'D_03697', 'D_03698', 'D_03699', 'D_03700', 'D_03701', 'D_03702', 'D_03703', 'D_03704', 'D_03705', 'D_03706', 'D_03707', 'D_03708', 'D_03709', 'D_03710', 'D_03711', 'D_03712', 'D_03713', 'D_03714', 'D_03715', 'D_03716', 'D_03717', 'D_03718', 'D_03719', 'D_03720', 'D_03721', 'D_03722', 'D_03723', 'D_03724', 'D_03725', 'D_03726', 'D_03727', 'D_03728', 'D_03729', 'D_03730', 'D_03731', 'D_03732', 'D_03733', 'D_03734', 'D_03735', 'D_03736', 'D_03737', 'D_03738', 'D_03739', 'D_03740', 'D_03741', 'D_03742', 'D_03743', 'D_03744', 'D_03745', 'D_03746', 'D_03747', 'D_03748', 'D_03749', 'D_03750', 'D_03751', 'D_03752', 'D_03753', 'D_03754', 'D_03755', 'D_03756', 'D_03757', 'D_03758', 'D_03759', 'D_03760', 'D_03761', 'D_03762', 'D_03763', 'D_03764', 'D_03765', 'D_03766', 'D_03767', 'D_03768', 'D_03769', 'D_03770', 'D_03771', 'D_03772', 'D_03773', 'D_03774', 'D_03775', 'D_03776', 'D_03777', 'D_03778', 'D_03779', 'D_03780', 'D_03781', 'D_03782', 'D_03783', 'D_03784', 'D_03785', 'D_03786', 'D_03787', 'D_03788', 'D_03789', 'D_03790', 'D_03791', 'D_03792', 'D_03793', 'D_03794', 'D_03795', 'D_03796', 'D_03797', 'D_03798', 'D_03799', 'D_03800', 'D_03801', 'D_03802', 'D_03803', 'D_03804', 'D_03805', 'D_03806', 'D_03807', 'D_03808', 'D_03809', 'D_03810', 'D_03811', 'D_03812', 'D_03813', 'D_03814', 'D_03815', 'D_03816', 'D_03817', 'D_03818', 'D_03819', 'D_03820', 'D_03821', 'D_03822', 'D_03823', 'D_03824', 'D_03825', 'D_03826', 'D_03827', 'D_03828', 'D_03829', 'D_03830', 'D_03831', 'D_03832', 'D_03833', 'D_03834', 'D_03835', 'D_03836', 'D_03837', 'D_03838', 'D_03839', 'D_03840', 'D_03841', 'D_03842', 'D_03843', 'D_03844', 'D_03845', 'D_03846', 'D_03847', 'D_03848', 'D_03849', 'D_03850', 'D_03851', 'D_03852', 'D_03853', 'D_03854', 'D_03855', 'D_03856', 'D_03857', 'D_03858', 'D_03859', 'D_03860', 'D_03861', 'D_03862', 'D_03863', 'D_03864', 'D_03865', 'D_03866', 'D_03867', 'D_03868', 'D_03869', 'D_03870', 'D_03871', 'D_03872', 'D_03873', 'D_03874', 'D_03875', 'D_03876', 'D_03877', 'D_03878', 'D_03879', 'D_03880', 'D_03881', 'D_03882', 'D_03883', 'D_03884', 'D_03885', 'D_03886', 'D_03887', 'D_03888', 'D_03889', 'D_03890', 'D_03891', 'D_03892', 'D_03893', 'D_03894', 'D_03895', 'D_03896', 'D_03897', 'D_03898', 'D_03899', 'D_03900', 'D_03901', 'D_03902', 'D_03903', 'D_03904', 'D_03905', 'D_03906', 'D_03907', 'D_03908', 'D_03909', 'D_03910', 'D_03911', 'D_03912', 'D_03913', 'D_03914', 'D_03915', 'D_03916', 'D_03917', 'D_03918', 'D_03919', 'D_03920', 'D_03921', 'D_03922', 'D_03923', 'D_03924', 'D_03925', 'D_03926', 'D_03927', 'D_03928', 'D_03929', 'D_03930', 'D_03931', 'D_03932', 'D_03933', 'D_03934', 'D_03935', 'D_03936', 'D_03937', 'D_03938', 'D_03939', 'D_03940', 'D_03941', 'D_03942', 'D_03943', 'D_03944', 'D_03945', 'D_03946', 'D_03947', 'D_03948', 'D_03949', 'D_03950', 'D_03951', 'D_03952', 'D_03953', 'D_03954', 'D_03955', 'D_03956', 'D_03957', 'D_03958', 'D_03959', 'D_03960', 'D_03961', 'D_03962', 'D_03963', 'D_03964', 'D_03965', 'D_03966', 'D_03967', 'D_03968', 'D_03969', 'D_03970', 'D_03971', 'D_03972', 'D_03973', 'D_03974', 'D_03975', 'D_03976', 'D_03977', 'D_03978', 'D_03979', 'D_03980', 'D_03981', 'D_03982', 'D_03983', 'D_03984', 'D_03985', 'D_03986', 'D_03987', 'D_03988', 'D_03989', 'D_03990', 'D_03991', 'D_03992', 'D_03993', 'D_03994', 'D_03995', 'D_03996', 'D_03997', 'D_03998', 'D_03999', 'D_04000', 'D_04001', 'D_04002', 'D_04003', 'D_04004', 'D_04005', 'D_04006', 'D_04007', 'D_04008', 'D_04009', 'D_04010', 'D_04011', 'D_04012', 'D_04013', 'D_04014', 'D_04015', 'D_04016', 'D_04017', 'D_04018', 'D_04019', 'D_04020', 'D_04021', 'D_04022', 'D_04023', 'D_04024', 'D_04025', 'D_04026', 'D_04027', 'D_04028', 'D_04029', 'D_04030', 'D_04031', 'D_04032', 'D_04033', 'D_04034', 'D_04035', 'D_04036', 'D_04037', 'D_04038', 'D_04039', 'D_04040', 'D_04041', 'D_04042', 'D_04043', 'D_04044', 'D_04045', 'D_04046', 'D_04047', 'D_04048', 'D_04049', 'D_04050', 'D_04051', 'D_04052', 'D_04053', 'D_04054', 'D_04055', 'D_04056', 'D_04057', 'D_04058', 'D_04059', 'D_04060', 'D_04061', 'D_04062', 'D_04063', 'D_04064', 'D_04065', 'D_04066', 'D_04067', 'D_04068', 'D_04069', 'D_04070', 'D_04071', 'D_04072', 'D_04073', 'D_04074', 'D_04075', 'D_04076', 'D_04077', 'D_04078', 'D_04079', 'D_04080', 'D_04081', 'D_04082', 'D_04083', 'D_04084', 'D_04085', 'D_04086', 'D_04087', 'D_04088', 'D_04089', 'D_04090', 'D_04091', 'D_04092', 'D_04093', 'D_04094', 'D_04095', 'D_04096', 'D_04097', 'D_04098', 'D_04099', 'D_04100', 'D_04101', 'D_04102', 'D_04103', 'D_04104', 'D_04105', 'D_04106', 'D_04107', 'D_04108', 'D_04109', 'D_04110', 'D_04111', 'D_04112', 'D_04113', 'D_04114', 'D_04115', 'D_04116', 'D_04117', 'D_04118', 'D_04119', 'D_04120', 'D_04121', 'D_04122', 'D_04123', 'D_04124', 'D_04125', 'D_04126', 'D_04127', 'D_04128', 'D_04129', 'D_04130', 'D_04131', 'D_04132', 'D_04133', 'D_04134', 'D_04135', 'D_04136', 'D_04137', 'D_04138', 'D_04139', 'D_04140', 'D_04141', 'D_04142', 'D_04143', 'D_04144', 'D_04145', 'D_04146', 'D_04147', 'D_04148', 'D_04149', 'D_04150', 'D_04151', 'D_04152', 'D_04153', 'D_04154', 'D_04155', 'D_04156', 'D_04157', 'D_04158', 'D_04159', 'D_04160', 'D_04161', 'D_04162', 'D_04163', 'D_04164', 'D_04165', 'D_04166', 'D_04167', 'D_04168', 'D_04169', 'D_04170', 'D_04171', 'D_04172', 'D_04173', 'D_04174', 'D_04175', 'D_04176', 'D_04177', 'D_04178', 'D_04179', 'D_04180', 'D_04181', 'D_04182', 'D_04183', 'D_04184', 'D_04185', 'D_04186', 'D_04187', 'D_04188', 'D_04189', 'D_04190', 'D_04191', 'D_04192', 'D_04193', 'D_04194', 'D_04195', 'D_04196', 'D_04197', 'D_04198', 'D_04199', 'D_04200', 'D_04201', 'D_04202', 'D_04203', 'D_04204', 'D_04205', 'D_04206', 'D_04207', 'D_04208', 'D_04209', 'D_04210', 'D_04211', 'D_04212', 'D_04213', 'D_04214', 'D_04215', 'D_04216', 'D_04217', 'D_04218', 'D_04219', 'D_04220', 'D_04221', 'D_04222', 'D_04223', 'D_04224', 'D_04225', 'D_04226', 'D_04227', 'D_04228', 'D_04229', 'D_04230', 'D_04231', 'D_04232', 'D_04233', 'D_04234', 'D_04235', 'D_04236', 'D_04237', 'D_04238', 'D_04239', 'D_04240', 'D_04241', 'D_04242', 'D_04243', 'D_04244', 'D_04245', 'D_04246', 'D_04247', 'D_04248', 'D_04249', 'D_04250', 'D_04251', 'D_04252', 'D_04253', 'D_04254', 'D_04255', 'D_04256', 'D_04257', 'D_04258', 'D_04259', 'D_04260', 'D_04261', 'D_04262', 'D_04263', 'D_04264', 'D_04265', 'D_04266', 'D_04267', 'D_04268', 'D_04269', 'D_04270', 'D_04271', 'D_04272', 'D_04273', 'D_04274', 'D_04275', 'D_04276', 'D_04277', 'D_04278', 'D_04279', 'D_04280', 'D_04281', 'D_04282', 'D_04283', 'D_04284', 'D_04285', 'D_04286', 'D_04287', 'D_04288', 'D_04289', 'D_04290', 'D_04291', 'D_04292', 'D_04293', 'D_04294', 'D_04295', 'D_04296', 'D_04297', 'D_04298', 'D_04299', 'D_04300', 'D_04301', 'D_04302', 'D_04303', 'D_04304', 'D_04305', 'D_04306', 'D_04307', 'D_04308', 'D_04309', 'D_04310', 'D_04311', 'D_04312', 'D_04313', 'D_04314', 'D_04315', 'D_04316', 'D_04317', 'D_04318', 'D_04319', 'D_04320', 'D_04321', 'D_04322', 'D_04323', 'D_04324', 'D_04325', 'D_04326', 'D_04327', 'D_04328', 'D_04329', 'D_04330', 'D_04331', 'D_04332', 'D_04333', 'D_04334', 'D_04335', 'D_04336', 'D_04337', 'D_04338', 'D_04339', 'D_04340', 'D_04341', 'D_04342', 'D_04343', 'D_04344', 'D_04345', 'D_04346', 'D_04347', 'D_04348', 'D_04349', 'D_04350', 'D_04351', 'D_04352', 'D_04353', 'D_04354', 'D_04355', 'D_04356', 'D_04357', 'D_04358', 'D_04359', 'D_04360', 'D_04361', 'D_04362', 'D_04363', 'D_04364', 'D_04365', 'D_04366', 'D_04367', 'D_04368', 'D_04369', 'D_04370', 'D_04371', 'D_04372', 'D_04373', 'D_04374', 'D_04375', 'D_04376', 'D_04377', 'D_04378', 'D_04379', 'D_04380', 'D_04381', 'D_04382', 'D_04383', 'D_04384', 'D_04385', 'D_04386', 'D_04387', 'D_04388', 'D_04389', 'D_04390', 'D_04391', 'D_04392', 'D_04393', 'D_04394', 'D_04395', 'D_04396', 'D_04397', 'D_04398', 'D_04399', 'D_04400', 'D_04401', 'D_04402', 'D_04403', 'D_04404', 'D_04405', 'D_04406', 'D_04407', 'D_04408', 'D_04409', 'D_04410', 'D_04411', 'D_04412', 'D_04413', 'D_04414', 'D_04415', 'D_04416', 'D_04417', 'D_04418', 'D_04419', 'D_04420', 'D_04421', 'D_04422', 'D_04423', 'D_04424', 'D_04425', 'D_04426', 'D_04427', 'D_04428', 'D_04429', 'D_04430', 'D_04431', 'D_04432', 'D_04433', 'D_04434', 'D_04435', 'D_04436', 'D_04437', 'D_04438', 'D_04439', 'D_04440', 'D_04441', 'D_04442', 'D_04443', 'D_04444', 'D_04445', 'D_04446', 'D_04447', 'D_04448', 'D_04449', 'D_04450', 'D_04451', 'D_04452', 'D_04453', 'D_04454', 'D_04455', 'D_04456', 'D_04457', 'D_04458', 'D_04459', 'D_04460', 'D_04461', 'D_04462', 'D_04463', 'D_04464', 'D_04465', 'D_04466', 'D_04467', 'D_04468', 'D_04469', 'D_04470', 'D_04471', 'D_04472', 'D_04473', 'D_04474', 'D_04475', 'D_04476', 'D_04477', 'D_04478', 'D_04479', 'D_04480', 'D_04481', 'D_04482', 'D_04483', 'D_04484', 'D_04485', 'D_04486', 'D_04487', 'D_04488', 'D_04489', 'D_04490', 'D_04491', 'D_04492', 'D_04493', 'D_04494', 'D_04495', 'D_04496', 'D_04497', 'D_04498', 'D_04499', 'D_04500', 'D_04501', 'D_04502', 'D_04503', 'D_04504', 'D_04505', 'D_04506', 'D_04507', 'D_04508', 'D_04509', 'D_04510', 'D_04511', 'D_04512', 'D_04513', 'D_04514', 'D_04515', 'D_04516', 'D_04517', 'D_04518', 'D_04519', 'D_04520', 'D_04521', 'D_04522', 'D_04523', 'D_04524', 'D_04525', 'D_04526', 'D_04527', 'D_04528', 'D_04529', 'D_04530', 'D_04531', 'D_04532', 'D_04533', 'D_04534', 'D_04535', 'D_04536', 'D_04537', 'D_04538', 'D_04539', 'D_04540', 'D_04541', 'D_04542', 'D_04543', 'D_04544', 'D_04545', 'D_04546', 'D_04547', 'D_04548', 'D_04549', 'D_04550', 'D_04551', 'D_04552', 'D_04553', 'D_04554', 'D_04555', 'D_04556', 'D_04557', 'D_04558', 'D_04559', 'D_04560', 'D_04561', 'D_04562', 'D_04563', 'D_04564', 'D_04565', 'D_04566', 'D_04567', 'D_04568', 'D_04569', 'D_04570', 'D_04571', 'D_04572', 'D_04573', 'D_04574', 'D_04575', 'D_04576', 'D_04577', 'D_04578', 'D_04579', 'D_04580', 'D_04581', 'D_04582', 'D_04583', 'D_04584', 'D_04585', 'D_04586', 'D_04587', 'D_04588', 'D_04589', 'D_04590', 'D_04591', 'D_04592', 'D_04593', 'D_04594', 'D_04595', 'D_04596', 'D_04597', 'D_04598', 'D_04599', 'D_04600', 'D_04601', 'D_04602', 'D_04603', 'D_04604', 'D_04605', 'D_04606', 'D_04607', 'D_04608', 'D_04609', 'D_04610', 'D_04611', 'D_04612', 'D_04613', 'D_04614', 'D_04615', 'D_04616', 'D_04617', 'D_04618', 'D_04619', 'D_04620', 'D_04621', 'D_04622', 'D_04623', 'D_04624', 'D_04625', 'D_04626', 'D_04627', 'D_04628', 'D_04629', 'D_04630', 'D_04631', 'D_04632', 'D_04633', 'D_04634', 'D_04635', 'D_04636', 'D_04637', 'D_04638', 'D_04639', 'D_04640', 'D_04641', 'D_04642', 'D_04643', 'D_04644', 'D_04645', 'D_04646', 'D_04647', 'D_04648', 'D_04649', 'D_04650', 'D_04651', 'D_04652', 'D_04653', 'D_04654', 'D_04655', 'D_04656', 'D_04657', 'D_04658', 'D_04659', 'D_04660', 'D_04661', 'D_04662', 'D_04663', 'D_04664', 'D_04665', 'D_04666', 'D_04667', 'D_04668', 'D_04669', 'D_04670', 'D_04671', 'D_04672', 'D_04673', 'D_04674', 'D_04675', 'D_04676', 'D_04677', 'D_04678', 'D_04679', 'D_04680', 'D_04681', 'D_04682', 'D_04683', 'D_04684', 'D_04685', 'D_04686', 'D_04687', 'D_04688', 'D_04689', 'D_04690', 'D_04691', 'D_04692', 'D_04693', 'D_04694', 'D_04695', 'D_04696', 'D_04697', 'D_04698', 'D_04699', 'D_04700', 'D_04701', 'D_04702', 'D_04703', 'D_04704', 'D_04705', 'D_04706', 'D_04707', 'D_04708', 'D_04709', 'D_04710', 'D_04711', 'D_04712', 'D_04713', 'D_04714', 'D_04715', 'D_04716', 'D_04717', 'D_04718', 'D_04719', 'D_04720', 'D_04721', 'D_04722', 'D_04723', 'D_04724', 'D_04725', 'D_04726', 'D_04727', 'D_04728', 'D_04729', 'D_04730', 'D_04731', 'D_04732', 'D_04733', 'D_04734', 'D_04735', 'D_04736', 'D_04737', 'D_04738', 'D_04739', 'D_04740', 'D_04741', 'D_04742', 'D_04743', 'D_04744', 'D_04745', 'D_04746', 'D_04747', 'D_04748', 'D_04749', 'D_04750', 'D_04751', 'D_04752', 'D_04753', 'D_04754', 'D_04755', 'D_04756', 'D_04757', 'D_04758', 'D_04759', 'D_04760', 'D_04761', 'D_04762', 'D_04763', 'D_04764', 'D_04765', 'D_04766', 'D_04767', 'D_04768', 'D_04769', 'D_04770', 'D_04771', 'D_04772', 'D_04773', 'D_04774', 'D_04775', 'D_04776', 'D_04777', 'D_04778', 'D_04779', 'D_04780', 'D_04781', 'D_04782', 'D_04783', 'D_04784', 'D_04785', 'D_04786', 'D_04787', 'D_04788', 'D_04789', 'D_04790', 'D_04791', 'D_04792', 'D_04793', 'D_04794', 'D_04795', 'D_04796', 'D_04797', 'D_04798', 'D_04799', 'D_04800', 'D_04801', 'D_04802', 'D_04803', 'D_04804', 'D_04805', 'D_04806', 'D_04807', 'D_04808', 'D_04809', 'D_04810', 'D_04811', 'D_04812', 'D_04813', 'D_04814', 'D_04815', 'D_04816', 'D_04817', 'D_04818', 'D_04819', 'D_04820', 'D_04821', 'D_04822', 'D_04823', 'D_04824', 'D_04825', 'D_04826', 'D_04827', 'D_04828', 'D_04829', 'D_04830', 'D_04831', 'D_04832', 'D_04833', 'D_04834', 'D_04835', 'D_04836', 'D_04837', 'D_04838', 'D_04839', 'D_04840', 'D_04841', 'D_04842', 'D_04843', 'D_04844', 'D_04845', 'D_04846', 'D_04847', 'D_04848', 'D_04849', 'D_04850', 'D_04851', 'D_04852', 'D_04853', 'D_04854', 'D_04855', 'D_04856', 'D_04857', 'D_04858', 'D_04859', 'D_04860', 'D_04861', 'D_04862', 'D_04863', 'D_04864', 'D_04865', 'D_04866', 'D_04867', 'D_04868', 'D_04869', 'D_04870', 'D_04871', 'D_04872', 'D_04873', 'D_04874', 'D_04875', 'D_04876', 'D_04877', 'D_04878', 'D_04879', 'D_04880', 'D_04881', 'D_04882', 'D_04883', 'D_04884', 'D_04885', 'D_04886', 'D_04887', 'D_04888', 'D_04889', 'D_04890', 'D_04891', 'D_04892', 'D_04893', 'D_04894', 'D_04895', 'D_04896', 'D_04897', 'D_04898', 'D_04899', 'D_04900', 'D_04901', 'D_04902', 'D_04903', 'D_04904', 'D_04905', 'D_04906', 'D_04907', 'D_04908', 'D_04909', 'D_04910', 'D_04911', 'D_04912', 'D_04913', 'D_04914', 'D_04915', 'D_04916', 'D_04917', 'D_04918', 'D_04919', 'D_04920', 'D_04921', 'D_04922', 'D_04923', 'D_04924', 'D_04925', 'D_04926', 'D_04927', 'D_04928', 'D_04929', 'D_04930', 'D_04931', 'D_04932', 'D_04933', 'D_04934', 'D_04935', 'D_04936', 'D_04937', 'D_04938', 'D_04939', 'D_04940', 'D_04941', 'D_04942', 'D_04943', 'D_04944', 'D_04945', 'D_04946', 'D_04947', 'D_04948', 'D_04949', 'D_04950', 'D_04951', 'D_04952', 'D_04953', 'D_04954', 'D_04955', 'D_04956', 'D_04957', 'D_04958', 'D_04959', 'D_04960', 'D_04961', 'D_04962', 'D_04963', 'D_04964', 'D_04965', 'D_04966', 'D_04967', 'D_04968', 'D_04969', 'D_04970', 'D_04971', 'D_04972', 'D_04973', 'D_04974', 'D_04975', 'D_04976', 'D_04977', 'D_04978', 'D_04979', 'D_04980', 'D_04981', 'D_04982', 'D_04983', 'D_04984', 'D_04985', 'D_04986', 'D_04987', 'D_04988', 'D_04989', 'D_04990', 'D_04991', 'D_04992', 'D_04993', 'D_04994', 'D_04995', 'D_04996', 'D_04997', 'D_04998', 'D_04999', 'D_05000', 'D_05001', 'D_05002', 'D_05003', 'D_05004', 'D_05005', 'D_05006', 'D_05007', 'D_05008', 'D_05009', 'D_05010', 'D_05011', 'D_05012', 'D_05013', 'D_05014', 'D_05015', 'D_05016', 'D_05017', 'D_05018', 'D_05019', 'D_05020', 'D_05021', 'D_05022', 'D_05023', 'D_05024', 'D_05025', 'D_05026', 'D_05027', 'D_05028', 'D_05029', 'D_05030', 'D_05031', 'D_05032', 'D_05033', 'D_05034', 'D_05035', 'D_05036', 'D_05037', 'D_05038', 'D_05039', 'D_05040', 'D_05041', 'D_05042', 'D_05043', 'D_05044', 'D_05045', 'D_05046', 'D_05047', 'D_05048', 'D_05049', 'D_05050', 'D_05051', 'D_05052', 'D_05053', 'D_05054', 'D_05055', 'D_05056', 'D_05057', 'D_05058', 'D_05059', 'D_05060', 'D_05061', 'D_05062', 'D_05063', 'D_05064', 'D_05065', 'D_05066', 'D_05067', 'D_05068', 'D_05069', 'D_05070', 'D_05071', 'D_05072', 'D_05073', 'D_05074', 'D_05075', 'D_05076', 'D_05077', 'D_05078', 'D_05079', 'D_05080', 'D_05081', 'D_05082', 'D_05083', 'D_05084', 'D_05085', 'D_05086', 'D_05087', 'D_05088', 'D_05089', 'D_05090', 'D_05091', 'D_05092', 'D_05093', 'D_05094', 'D_05095', 'D_05096', 'D_05097', 'D_05098', 'D_05099', 'D_05100', 'D_05101', 'D_05102', 'D_05103', 'D_05104', 'D_05105', 'D_05106', 'D_05107', 'D_05108', 'D_05109', 'D_05110', 'D_05111', 'D_05112', 'D_05113', 'D_05114', 'D_05115', 'D_05116', 'D_05117', 'D_05118', 'D_05119', 'D_05120', 'D_05121', 'D_05122', 'D_05123', 'D_05124', 'D_05125', 'D_05126', 'D_05127', 'D_05128', 'D_05129', 'D_05130', 'D_05131', 'D_05132', 'D_05133', 'D_05134', 'D_05135', 'D_05136', 'D_05137', 'D_05138', 'D_05139', 'D_05140', 'D_05141', 'D_05142', 'D_05143', 'D_05144', 'D_05145', 'D_05146', 'D_05147', 'D_05148', 'D_05149', 'D_05150', 'D_05151', 'D_05152', 'D_05153', 'D_05154', 'D_05155', 'D_05156', 'D_05157', 'D_05158', 'D_05159', 'D_05160', 'D_05161', 'D_05162', 'D_05163', 'D_05164', 'D_05165', 'D_05166', 'D_05167', 'D_05168', 'D_05169', 'D_05170', 'D_05171', 'D_05172', 'D_05173', 'D_05174', 'D_05175', 'D_05176', 'D_05177', 'D_05178', 'D_05179', 'D_05180', 'D_05181', 'D_05182', 'D_05183', 'D_05184', 'D_05185', 'D_05186', 'D_05187', 'D_05188', 'D_05189', 'D_05190', 'D_05191', 'D_05192', 'D_05193', 'D_05194', 'D_05195', 'D_05196', 'D_05197', 'D_05198', 'D_05199', 'D_05200', 'D_05201', 'D_05202', 'D_05203', 'D_05204', 'D_05205', 'D_05206', 'D_05207', 'D_05208', 'D_05209', 'D_05210', 'D_05211', 'D_05212', 'D_05213', 'D_05214', 'D_05215', 'D_05216', 'D_05217', 'D_05218', 'D_05219', 'D_05220', 'D_05221', 'D_05222', 'D_05223', 'D_05224', 'D_05225', 'D_05226', 'D_05227', 'D_05228', 'D_05229', 'D_05230', 'D_05231', 'D_05232', 'D_05233', 'D_05234', 'D_05235', 'D_05236', 'D_05237', 'D_05238', 'D_05239', 'D_05240', 'D_05241', 'D_05242', 'D_05243', 'D_05244', 'D_05245', 'D_05246', 'D_05247', 'D_05248', 'D_05249', 'D_05250', 'D_05251', 'D_05252', 'D_05253', 'D_05254', 'D_05255', 'D_05256', 'D_05257', 'D_05258', 'D_05259', 'D_05260', 'D_05261', 'D_05262', 'D_05263', 'D_05264', 'D_05265', 'D_05266', 'D_05267', 'D_05268', 'D_05269', 'D_05270', 'D_05271', 'D_05272', 'D_05273', 'D_05274', 'D_05275', 'D_05276', 'D_05277', 'D_05278', 'D_05279', 'D_05280', 'D_05281', 'D_05282', 'D_05283', 'D_05284', 'D_05285', 'D_05286', 'D_05287', 'D_05288', 'D_05289', 'D_05290', 'D_05291', 'D_05292', 'D_05293', 'D_05294', 'D_05295', 'D_05296', 'D_05297', 'D_05298', 'D_05299', 'D_05300', 'D_05301', 'D_05302', 'D_05303', 'D_05304', 'D_05305', 'D_05306', 'D_05307', 'D_05308', 'D_05309', 'D_05310', 'D_05311', 'D_05312', 'D_05313', 'D_05314', 'D_05315', 'D_05316', 'D_05317', 'D_05318', 'D_05319', 'D_05320', 'D_05321', 'D_05322', 'D_05323', 'D_05324', 'D_05325', 'D_05326', 'D_05327', 'D_05328', 'D_05329', 'D_05330', 'D_05331', 'D_05332', 'D_05333', 'D_05334', 'D_05335', 'D_05336', 'D_05337', 'D_05338', 'D_05339', 'D_05340', 'D_05341', 'D_05342', 'D_05343', 'D_05344', 'D_05345', 'D_05346', 'D_05347', 'D_05348', 'D_05349', 'D_05350', 'D_05351', 'D_05352', 'D_05353', 'D_05354', 'D_05355', 'D_05356', 'D_05357', 'D_05358', 'D_05359', 'D_05360', 'D_05361', 'D_05362', 'D_05363', 'D_05364', 'D_05365', 'D_05366', 'D_05367', 'D_05368', 'D_05369', 'D_05370', 'D_05371', 'D_05372', 'D_05373', 'D_05374', 'D_05375', 'D_05376', 'D_05377', 'D_05378', 'D_05379', 'D_05380', 'D_05381', 'D_05382', 'D_05383', 'D_05384', 'D_05385', 'D_05386', 'D_05387', 'D_05388', 'D_05389', 'D_05390', 'D_05391', 'D_05392', 'D_05393', 'D_05394', 'D_05395', 'D_05396', 'D_05397', 'D_05398', 'D_05399', 'D_05400', 'D_05401', 'D_05402', 'D_05403', 'D_05404', 'D_05405', 'D_05406', 'D_05407', 'D_05408', 'D_05409', 'D_05410', 'D_05411', 'D_05412', 'D_05413', 'D_05414', 'D_05415', 'D_05416', 'D_05417', 'D_05418', 'D_05419', 'D_05420', 'D_05421', 'D_05422', 'D_05423', 'D_05424', 'D_05425', 'D_05426', 'D_05427', 'D_05428', 'D_05429', 'D_05430', 'D_05431', 'D_05432', 'D_05433', 'D_05434', 'D_05435', 'D_05436', 'D_05437', 'D_05438', 'D_05439', 'D_05440', 'D_05441', 'D_05442', 'D_05443', 'D_05444', 'D_05445', 'D_05446', 'D_05447', 'D_05448', 'D_05449', 'D_05450', 'D_05451', 'D_05452', 'D_05453', 'D_05454', 'D_05455', 'D_05456', 'D_05457', 'D_05458', 'D_05459', 'D_05460', 'D_05461', 'D_05462', 'D_05463', 'D_05464', 'D_05465', 'D_05466', 'D_05467', 'D_05468', 'D_05469', 'D_05470', 'D_05471', 'D_05472', 'D_05473', 'D_05474', 'D_05475', 'D_05476', 'D_05477', 'D_05478', 'D_05479', 'D_05480', 'D_05481', 'D_05482', 'D_05483', 'D_05484', 'D_05485', 'D_05486', 'D_05487', 'D_05488', 'D_05489', 'D_05490', 'D_05491', 'D_05492', 'D_05493', 'D_05494', 'D_05495', 'D_05496', 'D_05497', 'D_05498', 'D_05499', 'D_05500', 'D_05501', 'D_05502', 'D_05503', 'D_05504', 'D_05505', 'D_05506', 'D_05507', 'D_05508', 'D_05509', 'D_05510', 'D_05511', 'D_05512', 'D_05513', 'D_05514', 'D_05515', 'D_05516', 'D_05517', 'D_05518', 'D_05519', 'D_05520', 'D_05521', 'D_05522', 'D_05523', 'D_05524', 'D_05525', 'D_05526', 'D_05527', 'D_05528', 'D_05529', 'D_05530', 'D_05531', 'D_05532', 'D_05533', 'D_05534', 'D_05535', 'D_05536', 'D_05537', 'D_05538', 'D_05539', 'D_05540', 'D_05541', 'D_05542', 'D_05543', 'D_05544', 'D_05545', 'D_05546', 'D_05547', 'D_05548', 'D_05549', 'D_05550', 'D_05551', 'D_05552', 'D_05553', 'D_05554', 'D_05555', 'D_05556', 'D_05557', 'D_05558', 'D_05559', 'D_05560', 'D_05561', 'D_05562', 'D_05563', 'D_05564', 'D_05565', 'D_05566', 'D_05567', 'D_05568', 'D_05569', 'D_05570', 'D_05571', 'D_05572', 'D_05573', 'D_05574', 'D_05575', 'D_05576', 'D_05577', 'D_05578', 'D_05579', 'D_05580', 'D_05581', 'D_05582', 'D_05583', 'D_05584', 'D_05585', 'D_05586', 'D_05587', 'D_05588', 'D_05589', 'D_05590', 'D_05591', 'D_05592', 'D_05593', 'D_05594', 'D_05595', 'D_05596', 'D_05597', 'D_05598', 'D_05599', 'D_05600', 'D_05601', 'D_05602', 'D_05603', 'D_05604', 'D_05605', 'D_05606', 'D_05607', 'D_05608', 'D_05609', 'D_05610', 'D_05611', 'D_05612', 'D_05613', 'D_05614', 'D_05615', 'D_05616', 'D_05617', 'D_05618', 'D_05619', 'D_05620', 'D_05621', 'D_05622', 'D_05623', 'D_05624', 'D_05625', 'D_05626', 'D_05627', 'D_05628', 'D_05629', 'D_05630', 'D_05631', 'D_05632', 'D_05633', 'D_05634', 'D_05635', 'D_05636', 'D_05637', 'D_05638', 'D_05639', 'D_05640', 'D_05641', 'D_05642', 'D_05643', 'D_05644', 'D_05645', 'D_05646', 'D_05647', 'D_05648', 'D_05649', 'D_05650', 'D_05651', 'D_05652', 'D_05653', 'D_05654', 'D_05655', 'D_05656', 'D_05657', 'D_05658', 'D_05659', 'D_05660', 'D_05661', 'D_05662', 'D_05663', 'D_05664', 'D_05665', 'D_05666', 'D_05667', 'D_05668', 'D_05669', 'D_05670', 'D_05671', 'D_05672', 'D_05673', 'D_05674', 'D_05675', 'D_05676', 'D_05677', 'D_05678', 'D_05679', 'D_05680', 'D_05681', 'D_05682', 'D_05683', 'D_05684', 'D_05685', 'D_05686', 'D_05687', 'D_05688', 'D_05689', 'D_05690', 'D_05691', 'D_05692', 'D_05693', 'D_05694', 'D_05695', 'D_05696', 'D_05697', 'D_05698', 'D_05699', 'D_05700', 'D_05701', 'D_05702', 'D_05703', 'D_05704', 'D_05705', 'D_05706', 'D_05707', 'D_05708', 'D_05709', 'D_05710', 'D_05711', 'D_05712', 'D_05713', 'D_05714', 'D_05715', 'D_05716', 'D_05717', 'D_05718', 'D_05719', 'D_05720', 'D_05721', 'D_05722', 'D_05723', 'D_05724', 'D_05725', 'D_05726', 'D_05727', 'D_05728', 'D_05729', 'D_05730', 'D_05731', 'D_05732', 'D_05733', 'D_05734', 'D_05735', 'D_05736', 'D_05737', 'D_05738', 'D_05739', 'D_05740', 'D_05741', 'D_05742', 'D_05743', 'D_05744', 'D_05745', 'D_05746', 'D_05747', 'D_05748', 'D_05749', 'D_05750', 'D_05751', 'D_05752', 'D_05753', 'D_05754', 'D_05755', 'D_05756', 'D_05757', 'D_05758', 'D_05759', 'D_05760', 'D_05761', 'D_05762', 'D_05763', 'D_05764', 'D_05765', 'D_05766', 'D_05767', 'D_05768', 'D_05769', 'D_05770', 'D_05771', 'D_05772', 'D_05773', 'D_05774', 'D_05775', 'D_05776', 'D_05777', 'D_05778', 'D_05779', 'D_05780', 'D_05781', 'D_05782', 'D_05783', 'D_05784', 'D_05785', 'D_05786', 'D_05787', 'D_05788', 'D_05789', 'D_05790', 'D_05791', 'D_05792', 'D_05793', 'D_05794', 'D_05795', 'D_05796', 'D_05797', 'D_05798', 'D_05799', 'D_05800', 'D_05801', 'D_05802', 'D_05803', 'D_05804', 'D_05805', 'D_05806', 'D_05807', 'D_05808', 'D_05809', 'D_05810', 'D_05811', 'D_05812', 'D_05813', 'D_05814', 'D_05815', 'D_05816', 'D_05817', 'D_05818', 'D_05819', 'D_05820', 'D_05821', 'D_05822', 'D_05823', 'D_05824', 'D_05825', 'D_05826', 'D_05827', 'D_05828', 'D_05829', 'D_05830', 'D_05831', 'D_05832', 'D_05833', 'D_05834', 'D_05835', 'D_05836', 'D_05837', 'D_05838', 'D_05839', 'D_05840', 'D_05841', 'D_05842', 'D_05843', 'D_05844', 'D_05845', 'D_05846', 'D_05847', 'D_05848', 'D_05849', 'D_05850', 'D_05851', 'D_05852', 'D_05853', 'D_05854', 'D_05855', 'D_05856', 'D_05857', 'D_05858', 'D_05859', 'D_05860', 'D_05861', 'D_05862', 'D_05863', 'D_05864', 'D_05865', 'D_05866', 'D_05867', 'D_05868', 'D_05869', 'D_05870', 'D_05871', 'D_05872', 'D_05873', 'D_05874', 'D_05875', 'D_05876', 'D_05877', 'D_05878', 'D_05879', 'D_05880', 'D_05881', 'D_05882', 'D_05883', 'D_05884', 'D_05885', 'D_05886', 'D_05887', 'D_05888', 'D_05889', 'D_05890', 'D_05891', 'D_05892', 'D_05893', 'D_05894', 'D_05895', 'D_05896', 'D_05897', 'D_05898', 'D_05899', 'D_05900', 'D_05901', 'D_05902', 'D_05903', 'D_05904', 'D_05905', 'D_05906', 'D_05907', 'D_05908', 'D_05909', 'D_05910', 'D_05911', 'D_05912', 'D_05913', 'D_05914', 'D_05915', 'D_05916', 'D_05917', 'D_05918', 'D_05919', 'D_05920', 'D_05921', 'D_05922', 'D_05923', 'D_05924', 'D_05925', 'D_05926', 'D_05927', 'D_05928', 'D_05929', 'D_05930', 'D_05931', 'D_05932', 'D_05933', 'D_05934', 'D_05935', 'D_05936', 'D_05937', 'D_05938', 'D_05939', 'D_05940', 'D_05941', 'D_05942', 'D_05943', 'D_05944', 'D_05945', 'D_05946', 'D_05947', 'D_05948', 'D_05949', 'D_05950', 'D_05951', 'D_05952', 'D_05953', 'D_05954', 'D_05955', 'D_05956', 'D_05957', 'D_05958', 'D_05959', 'D_05960', 'D_05961', 'D_05962', 'D_05963', 'D_05964', 'D_05965', 'D_05966', 'D_05967', 'D_05968', 'D_05969', 'D_05970', 'D_05971', 'D_05972', 'D_05973', 'D_05974', 'D_05975', 'D_05976', 'D_05977', 'D_05978', 'D_05979', 'D_05980', 'D_05981', 'D_05982', 'D_05983', 'D_05984', 'D_05985', 'D_05986', 'D_05987', 'D_05988', 'D_05989', 'D_05990', 'D_05991', 'D_05992', 'D_05993', 'D_05994', 'D_05995', 'D_05996', 'D_05997', 'D_05998', 'D_05999', 'D_06000', 'D_06001', 'D_06002', 'D_06003', 'D_06004', 'D_06005', 'D_06006', 'D_06007', 'D_06008', 'D_06009', 'D_06010', 'D_06011', 'D_06012', 'D_06013', 'D_06014', 'D_06015', 'D_06016', 'D_06017', 'D_06018', 'D_06019', 'D_06020', 'D_06021', 'D_06022', 'D_06023', 'D_06024', 'D_06025', 'D_06026', 'D_06027', 'D_06028', 'D_06029', 'D_06030', 'D_06031', 'D_06032', 'D_06033', 'D_06034', 'D_06035', 'D_06036', 'D_06037', 'D_06038', 'D_06039', 'D_06040', 'D_06041', 'D_06042', 'D_06043', 'D_06044', 'D_06045', 'D_06046', 'D_06047', 'D_06048', 'D_06049', 'D_06050', 'D_06051', 'D_06052', 'D_06053', 'D_06054', 'D_06055', 'D_06056', 'D_06057', 'D_06058', 'D_06059', 'D_06060', 'D_06061', 'D_06062', 'D_06063', 'D_06064', 'D_06065', 'D_06066', 'D_06067', 'D_06068', 'D_06069', 'D_06070', 'D_06071', 'D_06072', 'D_06073', 'D_06074', 'D_06075', 'D_06076', 'D_06077', 'D_06078', 'D_06079', 'D_06080', 'D_06081', 'D_06082', 'D_06083', 'D_06084', 'D_06085', 'D_06086', 'D_06087', 'D_06088', 'D_06089', 'D_06090', 'D_06091', 'D_06092', 'D_06093', 'D_06094', 'D_06095', 'D_06096', 'D_06097', 'D_06098', 'D_06099', 'D_06100', 'D_06101', 'D_06102', 'D_06103', 'D_06104', 'D_06105', 'D_06106', 'D_06107', 'D_06108', 'D_06109', 'D_06110', 'D_06111', 'D_06112', 'D_06113', 'D_06114', 'D_06115', 'D_06116', 'D_06117', 'D_06118', 'D_06119', 'D_06120', 'D_06121', 'D_06122', 'D_06123', 'D_06124', 'D_06125', 'D_06126', 'D_06127', 'D_06128', 'D_06129', 'D_06130', 'D_06131', 'D_06132', 'D_06133', 'D_06134', 'D_06135', 'D_06136', 'D_06137', 'D_06138', 'D_06139', 'D_06140', 'D_06141', 'D_06142', 'D_06143', 'D_06144', 'D_06145', 'D_06146', 'D_06147', 'D_06148', 'D_06149', 'D_06150', 'D_06151', 'D_06152', 'D_06153', 'D_06154', 'D_06155', 'D_06156', 'D_06157', 'D_06158', 'D_06159', 'D_06160', 'D_06161', 'D_06162', 'D_06163', 'D_06164', 'D_06165', 'D_06166', 'D_06167', 'D_06168', 'D_06169', 'D_06170', 'D_06171', 'D_06172', 'D_06173', 'D_06174', 'D_06175', 'D_06176', 'D_06177', 'D_06178', 'D_06179', 'D_06180', 'D_06181', 'D_06182', 'D_06183', 'D_06184', 'D_06185', 'D_06186', 'D_06187', 'D_06188', 'D_06189', 'D_06190', 'D_06191', 'D_06192', 'D_06193', 'D_06194', 'D_06195', 'D_06196', 'D_06197', 'D_06198', 'D_06199', 'D_06200', 'D_06201', 'D_06202', 'D_06203', 'D_06204', 'D_06205', 'D_06206', 'D_06207', 'D_06208', 'D_06209', 'D_06210', 'D_06211', 'D_06212', 'D_06213', 'D_06214', 'D_06215', 'D_06216', 'D_06217', 'D_06218', 'D_06219', 'D_06220', 'D_06221', 'D_06222', 'D_06223', 'D_06224', 'D_06225', 'D_06226', 'D_06227', 'D_06228', 'D_06229', 'D_06230', 'D_06231', 'D_06232', 'D_06233', 'D_06234', 'D_06235', 'D_06236', 'D_06237', 'D_06238', 'D_06239', 'D_06240', 'D_06241', 'D_06242', 'D_06243', 'D_06244', 'D_06245', 'D_06246', 'D_06247', 'D_06248', 'D_06249', 'D_06250', 'D_06251', 'D_06252', 'D_06253', 'D_06254', 'D_06255', 'D_06256', 'D_06257', 'D_06258', 'D_06259', 'D_06260', 'D_06261', 'D_06262', 'D_06263', 'D_06264', 'D_06265', 'D_06266', 'D_06267', 'D_06268', 'D_06269', 'D_06270', 'D_06271', 'D_06272', 'D_06273', 'D_06274', 'D_06275', 'D_06276', 'D_06277', 'D_06278', 'D_06279', 'D_06280', 'D_06281', 'D_06282', 'D_06283', 'D_06284', 'D_06285', 'D_06286', 'D_06287', 'D_06288', 'D_06289', 'D_06290', 'D_06291', 'D_06292', 'D_06293', 'D_06294', 'D_06295', 'D_06296', 'D_06297', 'D_06298', 'D_06299', 'D_06300', 'D_06301', 'D_06302', 'D_06303', 'D_06304', 'D_06305', 'D_06306', 'D_06307', 'D_06308', 'D_06309', 'D_06310', 'D_06311', 'D_06312', 'D_06313', 'D_06314', 'D_06315', 'D_06316', 'D_06317', 'D_06318', 'D_06319', 'D_06320', 'D_06321', 'D_06322', 'D_06323', 'D_06324', 'D_06325', 'D_06326', 'D_06327', 'D_06328', 'D_06329', 'D_06330', 'D_06331', 'D_06332', 'D_06333', 'D_06334', 'D_06335', 'D_06336', 'D_06337', 'D_06338', 'D_06339', 'D_06340', 'D_06341', 'D_06342', 'D_06343', 'D_06344', 'D_06345', 'D_06346', 'D_06347', 'D_06348', 'D_06349', 'D_06350', 'D_06351', 'D_06352', 'D_06353', 'D_06354', 'D_06355', 'D_06356', 'D_06357', 'D_06358', 'D_06359', 'D_06360', 'D_06361', 'D_06362', 'D_06363', 'D_06364', 'D_06365', 'D_06366', 'D_06367', 'D_06368', 'D_06369', 'D_06370', 'D_06371', 'D_06372', 'D_06373', 'D_06374', 'D_06375', 'D_06376', 'D_06377', 'D_06378', 'D_06379', 'D_06380', 'D_06381', 'D_06382', 'D_06383', 'D_06384', 'D_06385', 'D_06386', 'D_06387', 'D_06388', 'D_06389', 'D_06390', 'D_06391', 'D_06392', 'D_06393', 'D_06394', 'D_06395', 'D_06396', 'D_06397', 'D_06398', 'D_06399', 'D_06400', 'D_06401', 'D_06402', 'D_06403', 'D_06404', 'D_06405', 'D_06406', 'D_06407', 'D_06408', 'D_06409', 'D_06410', 'D_06411', 'D_06412', 'D_06413', 'D_06414', 'D_06415', 'D_06416', 'D_06417', 'D_06418', 'D_06419', 'D_06420', 'D_06421', 'D_06422', 'D_06423', 'D_06424', 'D_06425', 'D_06426', 'D_06427', 'D_06428', 'D_06429', 'D_06430', 'D_06431', 'D_06432', 'D_06433', 'D_06434', 'D_06435', 'D_06436', 'D_06437', 'D_06438', 'D_06439', 'D_06440', 'D_06441', 'D_06442', 'D_06443', 'D_06444', 'D_06445', 'D_06446', 'D_06447', 'D_06448', 'D_06449', 'D_06450', 'D_06451', 'D_06452', 'D_06453', 'D_06454', 'D_06455', 'D_06456', 'D_06457', 'D_06458', 'D_06459', 'D_06460', 'D_06461', 'D_06462', 'D_06463', 'D_06464', 'D_06465', 'D_06466', 'D_06467', 'D_06468', 'D_06469', 'D_06470', 'D_06471', 'D_06472', 'D_06473', 'D_06474', 'D_06475', 'D_06476', 'D_06477', 'D_06478', 'D_06479', 'D_06480', 'D_06481', 'D_06482', 'D_06483', 'D_06484', 'D_06485', 'D_06486', 'D_06487', 'D_06488', 'D_06489', 'D_06490', 'D_06491', 'D_06492', 'D_06493', 'D_06494', 'D_06495', 'D_06496', 'D_06497', 'D_06498', 'D_06499', 'D_06500', 'D_06501', 'D_06502', 'D_06503', 'D_06504', 'D_06505', 'D_06506', 'D_06507', 'D_06508', 'D_06509', 'D_06510', 'D_06511', 'D_06512', 'D_06513', 'D_06514', 'D_06515', 'D_06516', 'D_06517', 'D_06518', 'D_06519', 'D_06520', 'D_06521', 'D_06522', 'D_06523', 'D_06524', 'D_06525', 'D_06526', 'D_06527', 'D_06528', 'D_06529', 'D_06530', 'D_06531', 'D_06532', 'D_06533', 'D_06534', 'D_06535', 'D_06536', 'D_06537', 'D_06538', 'D_06539', 'D_06540', 'D_06541', 'D_06542', 'D_06543', 'D_06544', 'D_06545', 'D_06546', 'D_06547', 'D_06548', 'D_06549', 'D_06550', 'D_06551', 'D_06552', 'D_06553', 'D_06554', 'D_06555', 'D_06556', 'D_06557', 'D_06558', 'D_06559', 'D_06560', 'D_06561', 'D_06562', 'D_06563', 'D_06564', 'D_06565', 'D_06566', 'D_06567', 'D_06568', 'D_06569', 'D_06570', 'D_06571', 'D_06572', 'D_06573', 'D_06574', 'D_06575', 'D_06576', 'D_06577', 'D_06578', 'D_06579', 'D_06580', 'D_06581', 'D_06582', 'D_06583', 'D_06584', 'D_06585', 'D_06586', 'D_06587', 'D_06588', 'D_06589', 'D_06590', 'D_06591', 'D_06592', 'D_06593', 'D_06594', 'D_06595', 'D_06596', 'D_06597', 'D_06598', 'D_06599', 'D_06600', 'D_06601', 'D_06602', 'D_06603', 'D_06604', 'D_06605', 'D_06606', 'D_06607', 'D_06608', 'D_06609', 'D_06610', 'D_06611', 'D_06612', 'D_06613', 'D_06614', 'D_06615', 'D_06616', 'D_06617', 'D_06618', 'D_06619', 'D_06620', 'D_06621', 'D_06622', 'D_06623', 'D_06624', 'D_06625', 'D_06626', 'D_06627', 'D_06628', 'D_06629', 'D_06630', 'D_06631', 'D_06632', 'D_06633', 'D_06634', 'D_06635', 'D_06636', 'D_06637', 'D_06638', 'D_06639', 'D_06640', 'D_06641', 'D_06642', 'D_06643', 'D_06644', 'D_06645', 'D_06646', 'D_06647', 'D_06648', 'D_06649', 'D_06650', 'D_06651', 'D_06652', 'D_06653', 'D_06654', 'D_06655', 'D_06656', 'D_06657', 'D_06658', 'D_06659', 'D_06660', 'D_06661', 'D_06662', 'D_06663', 'D_06664', 'D_06665', 'D_06666', 'D_06667', 'D_06668', 'D_06669', 'D_06670', 'D_06671', 'D_06672', 'D_06673', 'D_06674', 'D_06675', 'D_06676', 'D_06677', 'D_06678', 'D_06679', 'D_06680', 'D_06681', 'D_06682', 'D_06683', 'D_06684', 'D_06685', 'D_06686', 'D_06687', 'D_06688', 'D_06689', 'D_06690', 'D_06691', 'D_06692', 'D_06693', 'D_06694', 'D_06695', 'D_06696', 'D_06697', 'D_06698', 'D_06699', 'D_06700', 'D_06701', 'D_06702', 'D_06703', 'D_06704', 'D_06705', 'D_06706', 'D_06707', 'D_06708', 'D_06709', 'D_06710', 'D_06711', 'D_06712', 'D_06713', 'D_06714', 'D_06715', 'D_06716', 'D_06717', 'D_06718', 'D_06719', 'D_06720', 'D_06721', 'D_06722', 'D_06723', 'D_06724', 'D_06725', 'D_06726', 'D_06727', 'D_06728', 'D_06729', 'D_06730', 'D_06731', 'D_06732', 'D_06733', 'D_06734', 'D_06735', 'D_06736', 'D_06737', 'D_06738', 'D_06739', 'D_06740', 'D_06741', 'D_06742', 'D_06743', 'D_06744', 'D_06745', 'D_06746', 'D_06747', 'D_06748', 'D_06749', 'D_06750', 'D_06751', 'D_06752', 'D_06753', 'D_06754', 'D_06755', 'D_06756', 'D_06757', 'D_06758', 'D_06759', 'D_06760', 'D_06761', 'D_06762', 'D_06763', 'D_06764', 'D_06765', 'D_06766', 'D_06767', 'D_06768', 'D_06769', 'D_06770', 'D_06771', 'D_06772', 'D_06773', 'D_06774', 'D_06775', 'D_06776', 'D_06777', 'D_06778', 'D_06779', 'D_06780', 'D_06781', 'D_06782', 'D_06783', 'D_06784', 'D_06785', 'D_06786', 'D_06787', 'D_06788', 'D_06789', 'D_06790', 'D_06791', 'D_06792', 'D_06793', 'D_06794', 'D_06795', 'D_06796', 'D_06797', 'D_06798', 'D_06799', 'D_06800', 'D_06801', 'D_06802', 'D_06803', 'D_06804', 'D_06805', 'D_06806', 'D_06807', 'D_06808', 'D_06809', 'D_06810', 'D_06811', 'D_06812', 'D_06813', 'D_06814', 'D_06815', 'D_06816', 'D_06817', 'D_06818', 'D_06819', 'D_06820', 'D_06821', 'D_06822', 'D_06823', 'D_06824', 'D_06825', 'D_06826', 'D_06827', 'D_06828', 'D_06829', 'D_06830', 'D_06831', 'D_06832', 'D_06833', 'D_06834', 'D_06835', 'D_06836', 'D_06837', 'D_06838', 'D_06839', 'D_06840', 'D_06841', 'D_06842', 'D_06843', 'D_06844', 'D_06845', 'D_06846', 'D_06847', 'D_06848', 'D_06849', 'D_06850', 'D_06851', 'D_06852', 'D_06853', 'D_06854', 'D_06855', 'D_06856', 'D_06857', 'D_06858', 'D_06859', 'D_06860', 'D_06861', 'D_06862', 'D_06863', 'D_06864', 'D_06865', 'D_06866', 'D_06867', 'D_06868', 'D_06869', 'D_06870', 'D_06871', 'D_06872', 'D_06873', 'D_06874', 'D_06875', 'D_06876', 'D_06877', 'D_06878', 'D_06879', 'D_06880', 'D_06881', 'D_06882', 'D_06883', 'D_06884', 'D_06885', 'D_06886', 'D_06887', 'D_06888', 'D_06889', 'D_06890', 'D_06891', 'D_06892', 'D_06893', 'D_06894', 'D_06895', 'D_06896', 'D_06897', 'D_06898', 'D_06899', 'D_06900', 'D_06901', 'D_06902', 'D_06903', 'D_06904', 'D_06905', 'D_06906', 'D_06907', 'D_06908', 'D_06909', 'D_06910', 'D_06911', 'D_06912', 'D_06913', 'D_06914', 'D_06915', 'D_06916', 'D_06917', 'D_06918', 'D_06919', 'D_06920', 'D_06921', 'D_06922', 'D_06923', 'D_06924', 'D_06925', 'D_06926', 'D_06927', 'D_06928', 'D_06929', 'D_06930', 'D_06931', 'D_06932', 'D_06933', 'D_06934', 'D_06935', 'D_06936', 'D_06937', 'D_06938', 'D_06939', 'D_06940', 'D_06941', 'D_06942', 'D_06943', 'D_06944', 'D_06945', 'D_06946', 'D_06947', 'D_06948', 'D_06949', 'D_06950', 'D_06951', 'D_06952', 'D_06953', 'D_06954', 'D_06955', 'D_06956', 'D_06957', 'D_06958', 'D_06959', 'D_06960', 'D_06961', 'D_06962', 'D_06963', 'D_06964', 'D_06965', 'D_06966', 'D_06967', 'D_06968', 'D_06969', 'D_06970', 'D_06971', 'D_06972', 'D_06973', 'D_06974', 'D_06975', 'D_06976', 'D_06977', 'D_06978', 'D_06979', 'D_06980', 'D_06981', 'D_06982', 'D_06983', 'D_06984', 'D_06985', 'D_06986', 'D_06987', 'D_06988', 'D_06989', 'D_06990', 'D_06991', 'D_06992', 'D_06993', 'D_06994', 'D_06995', 'D_06996', 'D_06997', 'D_06998', 'D_06999', 'D_07000', 'D_07001', 'D_07002', 'D_07003', 'D_07004', 'D_07005', 'D_07006', 'D_07007', 'D_07008', 'D_07009', 'D_07010', 'D_07011', 'D_07012', 'D_07013', 'D_07014', 'D_07015', 'D_07016', 'D_07017', 'D_07018', 'D_07019', 'D_07020', 'D_07021', 'D_07022', 'D_07023', 'D_07024', 'D_07025', 'D_07026', 'D_07027', 'D_07028', 'D_07029', 'D_07030', 'D_07031', 'D_07032', 'D_07033', 'D_07034', 'D_07035', 'D_07036', 'D_07037', 'D_07038', 'D_07039', 'D_07040', 'D_07041', 'D_07042', 'D_07043', 'D_07044', 'D_07045', 'D_07046', 'D_07047', 'D_07048', 'D_07049', 'D_07050', 'D_07051', 'D_07052', 'D_07053', 'D_07054', 'D_07055', 'D_07056', 'D_07057', 'D_07058', 'D_07059', 'D_07060', 'D_07061', 'D_07062', 'D_07063', 'D_07064', 'D_07065', 'D_07066', 'D_07067', 'D_07068', 'D_07069', 'D_07070', 'D_07071', 'D_07072', 'D_07073', 'D_07074', 'D_07075', 'D_07076', 'D_07077', 'D_07078', 'D_07079', 'D_07080', 'D_07081', 'D_07082', 'D_07083', 'D_07084', 'D_07085', 'D_07086', 'D_07087', 'D_07088', 'D_07089', 'D_07090', 'D_07091', 'D_07092', 'D_07093', 'D_07094', 'D_07095', 'D_07096', 'D_07097', 'D_07098', 'D_07099', 'D_07100', 'D_07101', 'D_07102', 'D_07103', 'D_07104', 'D_07105', 'D_07106', 'D_07107', 'D_07108', 'D_07109', 'D_07110', 'D_07111', 'D_07112', 'D_07113', 'D_07114', 'D_07115', 'D_07116', 'D_07117', 'D_07118', 'D_07119', 'D_07120', 'D_07121', 'D_07122', 'D_07123', 'D_07124', 'D_07125', 'D_07126', 'D_07127', 'D_07128', 'D_07129', 'D_07130', 'D_07131', 'D_07132', 'D_07133', 'D_07134', 'D_07135', 'D_07136', 'D_07137', 'D_07138', 'D_07139', 'D_07140', 'D_07141', 'D_07142', 'D_07143', 'D_07144', 'D_07145', 'D_07146', 'D_07147', 'D_07148', 'D_07149', 'D_07150', 'D_07151', 'D_07152', 'D_07153', 'D_07154', 'D_07155', 'D_07156', 'D_07157', 'D_07158', 'D_07159', 'D_07160', 'D_07161', 'D_07162', 'D_07163', 'D_07164', 'D_07165', 'D_07166', 'D_07167', 'D_07168', 'D_07169', 'D_07170', 'D_07171', 'D_07172', 'D_07173', 'D_07174', 'D_07175', 'D_07176', 'D_07177', 'D_07178', 'D_07179', 'D_07180', 'D_07181', 'D_07182', 'D_07183', 'D_07184', 'D_07185', 'D_07186', 'D_07187', 'D_07188', 'D_07189', 'D_07190', 'D_07191', 'D_07192', 'D_07193', 'D_07194', 'D_07195', 'D_07196', 'D_07197', 'D_07198', 'D_07199', 'D_07200', 'D_07201', 'D_07202', 'D_07203', 'D_07204', 'D_07205', 'D_07206', 'D_07207', 'D_07208', 'D_07209', 'D_07210', 'D_07211', 'D_07212', 'D_07213', 'D_07214', 'D_07215', 'D_07216', 'D_07217', 'D_07218', 'D_07219', 'D_07220', 'D_07221', 'D_07222', 'D_07223', 'D_07224', 'D_07225', 'D_07226', 'D_07227', 'D_07228', 'D_07229', 'D_07230', 'D_07231', 'D_07232', 'D_07233', 'D_07234', 'D_07235', 'D_07236', 'D_07237', 'D_07238', 'D_07239', 'D_07240', 'D_07241', 'D_07242', 'D_07243', 'D_07244', 'D_07245', 'D_07246', 'D_07247', 'D_07248', 'D_07249', 'D_07250', 'D_07251', 'D_07252', 'D_07253', 'D_07254', 'D_07255', 'D_07256', 'D_07257', 'D_07258', 'D_07259', 'D_07260', 'D_07261', 'D_07262', 'D_07263', 'D_07264', 'D_07265', 'D_07266', 'D_07267', 'D_07268', 'D_07269', 'D_07270', 'D_07271', 'D_07272', 'D_07273', 'D_07274', 'D_07275', 'D_07276', 'D_07277', 'D_07278', 'D_07279', 'D_07280', 'D_07281', 'D_07282', 'D_07283', 'D_07284', 'D_07285', 'D_07286', 'D_07287', 'D_07288', 'D_07289', 'D_07290', 'D_07291', 'D_07292', 'D_07293', 'D_07294', 'D_07295', 'D_07296', 'D_07297', 'D_07298', 'D_07299', 'D_07300', 'D_07301', 'D_07302', 'D_07303', 'D_07304', 'D_07305', 'D_07306', 'D_07307', 'D_07308', 'D_07309', 'D_07310', 'D_07311', 'D_07312', 'D_07313', 'D_07314', 'D_07315', 'D_07316', 'D_07317', 'D_07318', 'D_07319', 'D_07320', 'D_07321', 'D_07322', 'D_07323', 'D_07324', 'D_07325', 'D_07326', 'D_07327', 'D_07328', 'D_07329', 'D_07330', 'D_07331', 'D_07332', 'D_07333', 'D_07334', 'D_07335', 'D_07336', 'D_07337', 'D_07338', 'D_07339', 'D_07340', 'D_07341', 'D_07342', 'D_07343', 'D_07344', 'D_07345', 'D_07346', 'D_07347', 'D_07348', 'D_07349', 'D_07350', 'D_07351', 'D_07352', 'D_07353', 'D_07354', 'D_07355', 'D_07356', 'D_07357', 'D_07358', 'D_07359', 'D_07360', 'D_07361', 'D_07362', 'D_07363', 'D_07364', 'D_07365', 'D_07366', 'D_07367', 'D_07368', 'D_07369', 'D_07370', 'D_07371', 'D_07372', 'D_07373', 'D_07374', 'D_07375', 'D_07376', 'D_07377', 'D_07378', 'D_07379', 'D_07380', 'D_07381', 'D_07382', 'D_07383', 'D_07384', 'D_07385', 'D_07386', 'D_07387', 'D_07388', 'D_07389', 'D_07390', 'D_07391', 'D_07392', 'D_07393', 'D_07394', 'D_07395', 'D_07396', 'D_07397', 'D_07398', 'D_07399', 'D_07400', 'D_07401', 'D_07402', 'D_07403', 'D_07404', 'D_07405', 'D_07406', 'D_07407', 'D_07408', 'D_07409', 'D_07410', 'D_07411', 'D_07412', 'D_07413', 'D_07414', 'D_07415', 'D_07416', 'D_07417', 'D_07418', 'D_07419', 'D_07420', 'D_07421', 'D_07422', 'D_07423', 'D_07424', 'D_07425', 'D_07426', 'D_07427', 'D_07428', 'D_07429', 'D_07430', 'D_07431', 'D_07432', 'D_07433', 'D_07434', 'D_07435', 'D_07436', 'D_07437', 'D_07438', 'D_07439', 'D_07440', 'D_07441', 'D_07442', 'D_07443', 'D_07444', 'D_07445', 'D_07446', 'D_07447', 'D_07448', 'D_07449', 'D_07450', 'D_07451', 'D_07452', 'D_07453', 'D_07454', 'D_07455', 'D_07456', 'D_07457', 'D_07458', 'D_07459', 'D_07460', 'D_07461', 'D_07462', 'D_07463', 'D_07464', 'D_07465', 'D_07466', 'D_07467', 'D_07468', 'D_07469', 'D_07470', 'D_07471', 'D_07472', 'D_07473', 'D_07474', 'D_07475', 'D_07476', 'D_07477', 'D_07478', 'D_07479', 'D_07480', 'D_07481', 'D_07482', 'D_07483', 'D_07484', 'D_07485', 'D_07486', 'D_07487', 'D_07488', 'D_07489', 'D_07490', 'D_07491', 'D_07492', 'D_07493', 'D_07494', 'D_07495', 'D_07496', 'D_07497', 'D_07498', 'D_07499', 'D_07500', 'D_07501', 'D_07502', 'D_07503', 'D_07504', 'D_07505', 'D_07506', 'D_07507', 'D_07508', 'D_07509', 'D_07510', 'D_07511', 'D_07512', 'D_07513', 'D_07514', 'D_07515', 'D_07516', 'D_07517', 'D_07518', 'D_07519', 'D_07520', 'D_07521', 'D_07522', 'D_07523', 'D_07524', 'D_07525', 'D_07526', 'D_07527', 'D_07528', 'D_07529', 'D_07530', 'D_07531', 'D_07532', 'D_07533', 'D_07534', 'D_07535', 'D_07536', 'D_07537', 'D_07538', 'D_07539', 'D_07540', 'D_07541', 'D_07542', 'D_07543', 'D_07544', 'D_07545', 'D_07546', 'D_07547', 'D_07548', 'D_07549', 'D_07550', 'D_07551', 'D_07552', 'D_07553', 'D_07554', 'D_07555', 'D_07556', 'D_07557', 'D_07558', 'D_07559', 'D_07560', 'D_07561', 'D_07562', 'D_07563', 'D_07564', 'D_07565', 'D_07566', 'D_07567', 'D_07568', 'D_07569', 'D_07570', 'D_07571', 'D_07572', 'D_07573', 'D_07574', 'D_07575', 'D_07576', 'D_07577', 'D_07578', 'D_07579', 'D_07580', 'D_07581', 'D_07582', 'D_07583', 'D_07584', 'D_07585', 'D_07586', 'D_07587', 'D_07588', 'D_07589', 'D_07590', 'D_07591', 'D_07592', 'D_07593', 'D_07594', 'D_07595', 'D_07596', 'D_07597', 'D_07598', 'D_07599', 'D_07600', 'D_07601', 'D_07602', 'D_07603', 'D_07604', 'D_07605', 'D_07606', 'D_07607', 'D_07608', 'D_07609', 'D_07610', 'D_07611', 'D_07612', 'D_07613', 'D_07614', 'D_07615', 'D_07616', 'D_07617', 'D_07618', 'D_07619', 'D_07620', 'D_07621', 'D_07622', 'D_07623', 'D_07624', 'D_07625', 'D_07626', 'D_07627', 'D_07628', 'D_07629', 'D_07630', 'D_07631', 'D_07632', 'D_07633', 'D_07634', 'D_07635', 'D_07636', 'D_07637', 'D_07638', 'D_07639', 'D_07640', 'D_07641', 'D_07642', 'D_07643', 'D_07644', 'D_07645', 'D_07646', 'D_07647', 'D_07648', 'D_07649', 'D_07650', 'D_07651', 'D_07652', 'D_07653', 'D_07654', 'D_07655', 'D_07656', 'D_07657', 'D_07658', 'D_07659', 'D_07660', 'D_07661', 'D_07662', 'D_07663', 'D_07664', 'D_07665', 'D_07666', 'D_07667', 'D_07668', 'D_07669', 'D_07670', 'D_07671', 'D_07672', 'D_07673', 'D_07674', 'D_07675', 'D_07676', 'D_07677', 'D_07678', 'D_07679', 'D_07680', 'D_07681', 'D_07682', 'D_07683', 'D_07684', 'D_07685', 'D_07686', 'D_07687', 'D_07688', 'D_07689', 'D_07690', 'D_07691', 'D_07692', 'D_07693', 'D_07694', 'D_07695', 'D_07696', 'D_07697', 'D_07698', 'D_07699', 'D_07700', 'D_07701', 'D_07702', 'D_07703', 'D_07704', 'D_07705', 'D_07706', 'D_07707', 'D_07708', 'D_07709', 'D_07710', 'D_07711', 'D_07712', 'D_07713', 'D_07714', 'D_07715', 'D_07716', 'D_07717', 'D_07718', 'D_07719', 'D_07720', 'D_07721', 'D_07722', 'D_07723', 'D_07724', 'D_07725', 'D_07726', 'D_07727', 'D_07728', 'D_07729', 'D_07730', 'D_07731', 'D_07732', 'D_07733', 'D_07734', 'D_07735', 'D_07736', 'D_07737', 'D_07738', 'D_07739', 'D_07740', 'D_07741', 'D_07742', 'D_07743', 'D_07744', 'D_07745', 'D_07746', 'D_07747', 'D_07748', 'D_07749', 'D_07750', 'D_07751', 'D_07752', 'D_07753', 'D_07754', 'D_07755', 'D_07756', 'D_07757', 'D_07758', 'D_07759', 'D_07760', 'D_07761', 'D_07762', 'D_07763', 'D_07764', 'D_07765', 'D_07766', 'D_07767', 'D_07768', 'D_07769', 'D_07770', 'D_07771', 'D_07772', 'D_07773', 'D_07774', 'D_07775', 'D_07776', 'D_07777', 'D_07778', 'D_07779', 'D_07780', 'D_07781', 'D_07782', 'D_07783', 'D_07784', 'D_07785', 'D_07786', 'D_07787', 'D_07788', 'D_07789', 'D_07790', 'D_07791', 'D_07792', 'D_07793', 'D_07794', 'D_07795', 'D_07796', 'D_07797', 'D_07798', 'D_07799', 'D_07800', 'D_07801', 'D_07802', 'D_07803', 'D_07804', 'D_07805', 'D_07806', 'D_07807', 'D_07808', 'D_07809', 'D_07810', 'D_07811', 'D_07812', 'D_07813', 'D_07814', 'D_07815', 'D_07816', 'D_07817', 'D_07818', 'D_07819', 'D_07820', 'D_07821', 'D_07822', 'D_07823', 'D_07824', 'D_07825', 'D_07826', 'D_07827', 'D_07828', 'D_07829', 'D_07830', 'D_07831', 'D_07832', 'D_07833', 'D_07834', 'D_07835', 'D_07836', 'D_07837', 'D_07838', 'D_07839', 'D_07840', 'D_07841', 'D_07842', 'D_07843', 'D_07844', 'D_07845', 'D_07846', 'D_07847', 'D_07848', 'D_07849', 'D_07850', 'D_07851', 'D_07852', 'D_07853', 'D_07854', 'D_07855', 'D_07856', 'D_07857', 'D_07858', 'D_07859', 'D_07860', 'D_07861', 'D_07862', 'D_07863', 'D_07864', 'D_07865', 'D_07866', 'D_07867', 'D_07868', 'D_07869', 'D_07870', 'D_07871', 'D_07872', 'D_07873', 'D_07874', 'D_07875', 'D_07876', 'D_07877', 'D_07878', 'D_07879', 'D_07880', 'D_07881', 'D_07882', 'D_07883', 'D_07884', 'D_07885', 'D_07886', 'D_07887', 'D_07888', 'D_07889', 'D_07890', 'D_07891', 'D_07892', 'D_07893', 'D_07894', 'D_07895', 'D_07896', 'D_07897', 'D_07898', 'D_07899', 'D_07900', 'D_07901', 'D_07902', 'D_07903', 'D_07904', 'D_07905', 'D_07906', 'D_07907', 'D_07908', 'D_07909', 'D_07910', 'D_07911', 'D_07912', 'D_07913', 'D_07914', 'D_07915', 'D_07916', 'D_07917', 'D_07918', 'D_07919', 'D_07920', 'D_07921', 'D_07922', 'D_07923', 'D_07924', 'D_07925', 'D_07926', 'D_07927', 'D_07928', 'D_07929', 'D_07930', 'D_07931', 'D_07932', 'D_07933', 'D_07934', 'D_07935', 'D_07936', 'D_07937', 'D_07938', 'D_07939', 'D_07940', 'D_07941', 'D_07942', 'D_07943', 'D_07944', 'D_07945', 'D_07946', 'D_07947', 'D_07948', 'D_07949', 'D_07950', 'D_07951', 'D_07952', 'D_07953', 'D_07954', 'D_07955', 'D_07956', 'D_07957', 'D_07958', 'D_07959', 'D_07960', 'D_07961', 'D_07962', 'D_07963', 'D_07964', 'D_07965', 'D_07966', 'D_07967', 'D_07968', 'D_07969', 'D_07970', 'D_07971', 'D_07972', 'D_07973', 'D_07974', 'D_07975', 'D_07976', 'D_07977', 'D_07978', 'D_07979', 'D_07980', 'D_07981', 'D_07982', 'D_07983', 'D_07984', 'D_07985', 'D_07986', 'D_07987', 'D_07988', 'D_07989', 'D_07990', 'D_07991', 'D_07992', 'D_07993', 'D_07994', 'D_07995', 'D_07996', 'D_07997', 'D_07998', 'D_07999', 'D_08000', 'D_08001', 'D_08002', 'D_08003', 'D_08004', 'D_08005', 'D_08006', 'D_08007', 'D_08008', 'D_08009', 'D_08010', 'D_08011', 'D_08012', 'D_08013', 'D_08014', 'D_08015', 'D_08016', 'D_08017', 'D_08018', 'D_08019', 'D_08020', 'D_08021', 'D_08022', 'D_08023', 'D_08024', 'D_08025', 'D_08026', 'D_08027', 'D_08028', 'D_08029', 'D_08030', 'D_08031', 'D_08032', 'D_08033', 'D_08034', 'D_08035', 'D_08036', 'D_08037', 'D_08038', 'D_08039', 'D_08040', 'D_08041', 'D_08042', 'D_08043', 'D_08044', 'D_08045', 'D_08046', 'D_08047', 'D_08048', 'D_08049', 'D_08050', 'D_08051', 'D_08052', 'D_08053', 'D_08054', 'D_08055', 'D_08056', 'D_08057', 'D_08058', 'D_08059', 'D_08060', 'D_08061', 'D_08062', 'D_08063', 'D_08064', 'D_08065', 'D_08066', 'D_08067', 'D_08068', 'D_08069', 'D_08070', 'D_08071', 'D_08072', 'D_08073', 'D_08074', 'D_08075', 'D_08076', 'D_08077', 'D_08078', 'D_08079', 'D_08080', 'D_08081', 'D_08082', 'D_08083', 'D_08084', 'D_08085', 'D_08086', 'D_08087', 'D_08088', 'D_08089', 'D_08090', 'D_08091', 'D_08092', 'D_08093', 'D_08094', 'D_08095', 'D_08096', 'D_08097', 'D_08098', 'D_08099', 'D_08100', 'D_08101', 'D_08102', 'D_08103', 'D_08104', 'D_08105', 'D_08106', 'D_08107', 'D_08108', 'D_08109', 'D_08110', 'D_08111', 'D_08112', 'D_08113', 'D_08114', 'D_08115', 'D_08116', 'D_08117', 'D_08118', 'D_08119', 'D_08120', 'D_08121', 'D_08122', 'D_08123', 'D_08124', 'D_08125', 'D_08126', 'D_08127', 'D_08128', 'D_08129', 'D_08130', 'D_08131', 'D_08132', 'D_08133', 'D_08134', 'D_08135', 'D_08136', 'D_08137', 'D_08138', 'D_08139', 'D_08140', 'D_08141', 'D_08142', 'D_08143', 'D_08144', 'D_08145', 'D_08146', 'D_08147', 'D_08148', 'D_08149', 'D_08150', 'D_08151', 'D_08152', 'D_08153', 'D_08154', 'D_08155', 'D_08156', 'D_08157', 'D_08158', 'D_08159', 'D_08160', 'D_08161', 'D_08162', 'D_08163', 'D_08164', 'D_08165', 'D_08166', 'D_08167', 'D_08168', 'D_08169', 'D_08170', 'D_08171', 'D_08172', 'D_08173', 'D_08174', 'D_08175', 'D_08176', 'D_08177', 'D_08178', 'D_08179', 'D_08180', 'D_08181', 'D_08182', 'D_08183', 'D_08184', 'D_08185', 'D_08186', 'D_08187', 'D_08188', 'D_08189', 'D_08190', 'D_08191', 'D_08192', 'D_08193', 'D_08194', 'D_08195', 'D_08196', 'D_08197', 'D_08198', 'D_08199', 'D_08200', 'D_08201', 'D_08202', 'D_08203', 'D_08204', 'D_08205', 'D_08206', 'D_08207', 'D_08208', 'D_08209', 'D_08210', 'D_08211', 'D_08212', 'D_08213', 'D_08214', 'D_08215', 'D_08216', 'D_08217', 'D_08218', 'D_08219', 'D_08220', 'D_08221', 'D_08222', 'D_08223', 'D_08224', 'D_08225', 'D_08226', 'D_08227', 'D_08228', 'D_08229', 'D_08230', 'D_08231', 'D_08232', 'D_08233', 'D_08234', 'D_08235', 'D_08236', 'D_08237', 'D_08238', 'D_08239', 'D_08240', 'D_08241', 'D_08242', 'D_08243', 'D_08244', 'D_08245', 'D_08246', 'D_08247', 'D_08248', 'D_08249', 'D_08250', 'D_08251', 'D_08252', 'D_08253', 'D_08254', 'D_08255', 'D_08256', 'D_08257', 'D_08258', 'D_08259', 'D_08260', 'D_08261', 'D_08262', 'D_08263', 'D_08264', 'D_08265', 'D_08266', 'D_08267', 'D_08268', 'D_08269', 'D_08270', 'D_08271', 'D_08272', 'D_08273', 'D_08274', 'D_08275', 'D_08276', 'D_08277', 'D_08278', 'D_08279', 'D_08280', 'D_08281', 'D_08282', 'D_08283', 'D_08284', 'D_08285', 'D_08286', 'D_08287', 'D_08288', 'D_08289', 'D_08290', 'D_08291', 'D_08292', 'D_08293', 'D_08294', 'D_08295', 'D_08296', 'D_08297', 'D_08298', 'D_08299', 'D_08300', 'D_08301', 'D_08302', 'D_08303', 'D_08304', 'D_08305', 'D_08306', 'D_08307', 'D_08308', 'D_08309', 'D_08310', 'D_08311', 'D_08312', 'D_08313', 'D_08314', 'D_08315', 'D_08316', 'D_08317', 'D_08318', 'D_08319', 'D_08320', 'D_08321', 'D_08322', 'D_08323', 'D_08324', 'D_08325', 'D_08326', 'D_08327', 'D_08328', 'D_08329', 'D_08330', 'D_08331', 'D_08332', 'D_08333', 'D_08334', 'D_08335', 'D_08336', 'D_08337', 'D_08338', 'D_08339', 'D_08340', 'D_08341', 'D_08342', 'D_08343', 'D_08344', 'D_08345', 'D_08346', 'D_08347', 'D_08348', 'D_08349', 'D_08350', 'D_08351', 'D_08352', 'D_08353', 'D_08354', 'D_08355', 'D_08356', 'D_08357', 'D_08358', 'D_08359', 'D_08360', 'D_08361', 'D_08362', 'D_08363', 'D_08364', 'D_08365', 'D_08366', 'D_08367', 'D_08368', 'D_08369', 'D_08370', 'D_08371', 'D_08372', 'D_08373', 'D_08374', 'D_08375', 'D_08376', 'D_08377', 'D_08378', 'D_08379', 'D_08380', 'D_08381', 'D_08382', 'D_08383', 'D_08384', 'D_08385', 'D_08386', 'D_08387', 'D_08388', 'D_08389', 'D_08390', 'D_08391', 'D_08392', 'D_08393', 'D_08394', 'D_08395', 'D_08396', 'D_08397', 'D_08398', 'D_08399', 'D_08400', 'D_08401', 'D_08402', 'D_08403', 'D_08404', 'D_08405', 'D_08406', 'D_08407', 'D_08408', 'D_08409', 'D_08410', 'D_08411', 'D_08412', 'D_08413', 'D_08414', 'D_08415', 'D_08416', 'D_08417', 'D_08418', 'D_08419', 'D_08420', 'D_08421', 'D_08422', 'D_08423', 'D_08424', 'D_08425', 'D_08426', 'D_08427', 'D_08428', 'D_08429', 'D_08430', 'D_08431', 'D_08432', 'D_08433', 'D_08434', 'D_08435', 'D_08436', 'D_08437', 'D_08438', 'D_08439', 'D_08440', 'D_08441', 'D_08442', 'D_08443', 'D_08444', 'D_08445', 'D_08446', 'D_08447', 'D_08448', 'D_08449', 'D_08450', 'D_08451', 'D_08452', 'D_08453', 'D_08454', 'D_08455', 'D_08456', 'D_08457', 'D_08458', 'D_08459', 'D_08460', 'D_08461', 'D_08462', 'D_08463', 'D_08464', 'D_08465', 'D_08466', 'D_08467', 'D_08468', 'D_08469', 'D_08470', 'D_08471', 'D_08472', 'D_08473', 'D_08474', 'D_08475', 'D_08476', 'D_08477', 'D_08478', 'D_08479', 'D_08480', 'D_08481', 'D_08482', 'D_08483', 'D_08484', 'D_08485', 'D_08486', 'D_08487', 'D_08488', 'D_08489', 'D_08490', 'D_08491', 'D_08492', 'D_08493', 'D_08494', 'D_08495', 'D_08496', 'D_08497', 'D_08498', 'D_08499', 'D_08500', 'D_08501', 'D_08502', 'D_08503', 'D_08504', 'D_08505', 'D_08506', 'D_08507', 'D_08508', 'D_08509', 'D_08510', 'D_08511', 'D_08512', 'D_08513', 'D_08514', 'D_08515', 'D_08516', 'D_08517', 'D_08518', 'D_08519', 'D_08520', 'D_08521', 'D_08522', 'D_08523', 'D_08524', 'D_08525', 'D_08526', 'D_08527', 'D_08528', 'D_08529', 'D_08530', 'D_08531', 'D_08532', 'D_08533', 'D_08534', 'D_08535', 'D_08536', 'D_08537', 'D_08538', 'D_08539', 'D_08540', 'D_08541', 'D_08542', 'D_08543', 'D_08544', 'D_08545', 'D_08546', 'D_08547', 'D_08548', 'D_08549', 'D_08550', 'D_08551', 'D_08552', 'D_08553', 'D_08554', 'D_08555', 'D_08556', 'D_08557', 'D_08558', 'D_08559', 'D_08560', 'D_08561', 'D_08562', 'D_08563', 'D_08564', 'D_08565', 'D_08566', 'D_08567', 'D_08568', 'D_08569', 'D_08570', 'D_08571', 'D_08572', 'D_08573', 'D_08574', 'D_08575', 'D_08576', 'D_08577', 'D_08578', 'D_08579', 'D_08580', 'D_08581', 'D_08582', 'D_08583', 'D_08584', 'D_08585', 'D_08586', 'D_08587', 'D_08588', 'D_08589', 'D_08590', 'D_08591', 'D_08592', 'D_08593', 'D_08594', 'D_08595', 'D_08596', 'D_08597', 'D_08598', 'D_08599', 'D_08600', 'D_08601', 'D_08602', 'D_08603', 'D_08604', 'D_08605', 'D_08606', 'D_08607', 'D_08608', 'D_08609', 'D_08610', 'D_08611', 'D_08612', 'D_08613', 'D_08614', 'D_08615', 'D_08616', 'D_08617', 'D_08618', 'D_08619', 'D_08620', 'D_08621', 'D_08622', 'D_08623', 'D_08624', 'D_08625', 'D_08626', 'D_08627', 'D_08628', 'D_08629', 'D_08630', 'D_08631', 'D_08632', 'D_08633', 'D_08634', 'D_08635', 'D_08636', 'D_08637', 'D_08638', 'D_08639', 'D_08640', 'D_08641', 'D_08642', 'D_08643', 'D_08644', 'D_08645', 'D_08646', 'D_08647', 'D_08648', 'D_08649', 'D_08650', 'D_08651', 'D_08652', 'D_08653', 'D_08654', 'D_08655', 'D_08656', 'D_08657', 'D_08658', 'D_08659', 'D_08660', 'D_08661', 'D_08662', 'D_08663', 'D_08664', 'D_08665', 'D_08666', 'D_08667', 'D_08668', 'D_08669', 'D_08670', 'D_08671', 'D_08672', 'D_08673', 'D_08674', 'D_08675', 'D_08676', 'D_08677', 'D_08678', 'D_08679', 'D_08680', 'D_08681', 'D_08682', 'D_08683', 'D_08684', 'D_08685', 'D_08686', 'D_08687', 'D_08688', 'D_08689', 'D_08690', 'D_08691', 'D_08692', 'D_08693', 'D_08694', 'D_08695', 'D_08696', 'D_08697', 'D_08698', 'D_08699', 'D_08700', 'D_08701', 'D_08702', 'D_08703', 'D_08704', 'D_08705', 'D_08706', 'D_08707', 'D_08708', 'D_08709', 'D_08710', 'D_08711', 'D_08712', 'D_08713', 'D_08714', 'D_08715', 'D_08716', 'D_08717', 'D_08718', 'D_08719', 'D_08720', 'D_08721', 'D_08722', 'D_08723', 'D_08724', 'D_08725', 'D_08726', 'D_08727', 'D_08728', 'D_08729', 'D_08730', 'D_08731', 'D_08732', 'D_08733', 'D_08734', 'D_08735', 'D_08736', 'D_08737', 'D_08738', 'D_08739', 'D_08740', 'D_08741', 'D_08742', 'D_08743', 'D_08744', 'D_08745', 'D_08746', 'D_08747', 'D_08748', 'D_08749', 'D_08750', 'D_08751', 'D_08752', 'D_08753', 'D_08754', 'D_08755', 'D_08756', 'D_08757', 'D_08758', 'D_08759', 'D_08760', 'D_08761', 'D_08762', 'D_08763', 'D_08764', 'D_08765', 'D_08766', 'D_08767', 'D_08768', 'D_08769', 'D_08770', 'D_08771', 'D_08772', 'D_08773', 'D_08774', 'D_08775', 'D_08776', 'D_08777', 'D_08778', 'D_08779', 'D_08780', 'D_08781', 'D_08782', 'D_08783', 'D_08784', 'D_08785', 'D_08786', 'D_08787', 'D_08788', 'D_08789', 'D_08790', 'D_08791', 'D_08792', 'D_08793', 'D_08794', 'D_08795', 'D_08796', 'D_08797', 'D_08798', 'D_08799', 'D_08800', 'D_08801', 'D_08802', 'D_08803', 'D_08804', 'D_08805', 'D_08806', 'D_08807', 'D_08808', 'D_08809', 'D_08810', 'D_08811', 'D_08812', 'D_08813', 'D_08814', 'D_08815', 'D_08816', 'D_08817', 'D_08818', 'D_08819', 'D_08820', 'D_08821', 'D_08822', 'D_08823', 'D_08824', 'D_08825', 'D_08826', 'D_08827', 'D_08828', 'D_08829', 'D_08830', 'D_08831', 'D_08832', 'D_08833', 'D_08834', 'D_08835', 'D_08836', 'D_08837', 'D_08838', 'D_08839', 'D_08840', 'D_08841', 'D_08842', 'D_08843', 'D_08844', 'D_08845', 'D_08846', 'D_08847', 'D_08848', 'D_08849', 'D_08850', 'D_08851', 'D_08852', 'D_08853', 'D_08854', 'D_08855', 'D_08856', 'D_08857', 'D_08858', 'D_08859', 'D_08860', 'D_08861', 'D_08862', 'D_08863', 'D_08864', 'D_08865', 'D_08866', 'D_08867', 'D_08868', 'D_08869', 'D_08870', 'D_08871', 'D_08872', 'D_08873', 'D_08874', 'D_08875', 'D_08876', 'D_08877', 'D_08878', 'D_08879', 'D_08880', 'D_08881', 'D_08882', 'D_08883', 'D_08884', 'D_08885', 'D_08886', 'D_08887', 'D_08888', 'D_08889', 'D_08890', 'D_08891', 'D_08892', 'D_08893', 'D_08894', 'D_08895', 'D_08896', 'D_08897', 'D_08898', 'D_08899', 'D_08900', 'D_08901', 'D_08902', 'D_08903', 'D_08904', 'D_08905', 'D_08906', 'D_08907', 'D_08908', 'D_08909', 'D_08910', 'D_08911', 'D_08912', 'D_08913', 'D_08914', 'D_08915', 'D_08916', 'D_08917', 'D_08918', 'D_08919', 'D_08920', 'D_08921', 'D_08922', 'D_08923', 'D_08924', 'D_08925', 'D_08926', 'D_08927', 'D_08928', 'D_08929', 'D_08930', 'D_08931', 'D_08932', 'D_08933', 'D_08934', 'D_08935', 'D_08936', 'D_08937', 'D_08938', 'D_08939', 'D_08940', 'D_08941', 'D_08942', 'D_08943', 'D_08944', 'D_08945', 'D_08946', 'D_08947', 'D_08948', 'D_08949', 'D_08950', 'D_08951', 'D_08952', 'D_08953', 'D_08954', 'D_08955', 'D_08956', 'D_08957', 'D_08958', 'D_08959', 'D_08960', 'D_08961', 'D_08962', 'D_08963', 'D_08964', 'D_08965', 'D_08966', 'D_08967', 'D_08968', 'D_08969', 'D_08970', 'D_08971', 'D_08972', 'D_08973', 'D_08974', 'D_08975', 'D_08976', 'D_08977', 'D_08978', 'D_08979', 'D_08980', 'D_08981', 'D_08982', 'D_08983', 'D_08984', 'D_08985', 'D_08986', 'D_08987', 'D_08988', 'D_08989', 'D_08990', 'D_08991', 'D_08992', 'D_08993', 'D_08994', 'D_08995', 'D_08996', 'D_08997', 'D_08998', 'D_08999', 'D_09000', 'D_09001', 'D_09002', 'D_09003', 'D_09004', 'D_09005', 'D_09006', 'D_09007', 'D_09008', 'D_09009', 'D_09010', 'D_09011', 'D_09012', 'D_09013', 'D_09014', 'D_09015', 'D_09016', 'D_09017', 'D_09018', 'D_09019', 'D_09020', 'D_09021', 'D_09022', 'D_09023', 'D_09024', 'D_09025', 'D_09026', 'D_09027', 'D_09028', 'D_09029', 'D_09030', 'D_09031', 'D_09032', 'D_09033', 'D_09034', 'D_09035', 'D_09036', 'D_09037', 'D_09038', 'D_09039', 'D_09040', 'D_09041', 'D_09042', 'D_09043', 'D_09044', 'D_09045', 'D_09046', 'D_09047', 'D_09048', 'D_09049', 'D_09050', 'D_09051', 'D_09052', 'D_09053', 'D_09054', 'D_09055', 'D_09056', 'D_09057', 'D_09058', 'D_09059', 'D_09060', 'D_09061', 'D_09062', 'D_09063', 'D_09064', 'D_09065', 'D_09066', 'D_09067', 'D_09068', 'D_09069', 'D_09070', 'D_09071', 'D_09072', 'D_09073', 'D_09074', 'D_09075', 'D_09076', 'D_09077', 'D_09078', 'D_09079', 'D_09080', 'D_09081', 'D_09082', 'D_09083', 'D_09084', 'D_09085', 'D_09086', 'D_09087', 'D_09088', 'D_09089', 'D_09090', 'D_09091', 'D_09092', 'D_09093', 'D_09094', 'D_09095', 'D_09096', 'D_09097', 'D_09098', 'D_09099', 'D_09100', 'D_09101', 'D_09102', 'D_09103', 'D_09104', 'D_09105', 'D_09106', 'D_09107', 'D_09108', 'D_09109', 'D_09110', 'D_09111', 'D_09112', 'D_09113', 'D_09114', 'D_09115', 'D_09116', 'D_09117', 'D_09118', 'D_09119', 'D_09120', 'D_09121', 'D_09122', 'D_09123', 'D_09124', 'D_09125', 'D_09126', 'D_09127', 'D_09128', 'D_09129', 'D_09130', 'D_09131', 'D_09132', 'D_09133', 'D_09134', 'D_09135', 'D_09136', 'D_09137', 'D_09138', 'D_09139', 'D_09140', 'D_09141', 'D_09142', 'D_09143', 'D_09144', 'D_09145', 'D_09146', 'D_09147', 'D_09148', 'D_09149', 'D_09150', 'D_09151', 'D_09152', 'D_09153', 'D_09154', 'D_09155', 'D_09156', 'D_09157', 'D_09158', 'D_09159', 'D_09160', 'D_09161', 'D_09162', 'D_09163', 'D_09164', 'D_09165', 'D_09166', 'D_09167', 'D_09168', 'D_09169', 'D_09170', 'D_09171', 'D_09172', 'D_09173', 'D_09174', 'D_09175', 'D_09176', 'D_09177', 'D_09178', 'D_09179', 'D_09180', 'D_09181', 'D_09182', 'D_09183', 'D_09184', 'D_09185', 'D_09186', 'D_09187', 'D_09188', 'D_09189', 'D_09190', 'D_09191', 'D_09192', 'D_09193', 'D_09194', 'D_09195', 'D_09196', 'D_09197', 'D_09198', 'D_09199', 'D_09200', 'D_09201', 'D_09202', 'D_09203', 'D_09204', 'D_09205', 'D_09206', 'D_09207', 'D_09208', 'D_09209', 'D_09210', 'D_09211', 'D_09212', 'D_09213', 'D_09214', 'D_09215', 'D_09216', 'D_09217', 'D_09218', 'D_09219', 'D_09220', 'D_09221', 'D_09222', 'D_09223', 'D_09224', 'D_09225', 'D_09226', 'D_09227', 'D_09228', 'D_09229', 'D_09230', 'D_09231', 'D_09232', 'D_09233', 'D_09234', 'D_09235', 'D_09236', 'D_09237', 'D_09238', 'D_09239', 'D_09240', 'D_09241', 'D_09242', 'D_09243', 'D_09244', 'D_09245', 'D_09246', 'D_09247', 'D_09248', 'D_09249', 'D_09250', 'D_09251', 'D_09252', 'D_09253', 'D_09254', 'D_09255', 'D_09256', 'D_09257', 'D_09258', 'D_09259', 'D_09260', 'D_09261', 'D_09262', 'D_09263', 'D_09264', 'D_09265', 'D_09266', 'D_09267', 'D_09268', 'D_09269', 'D_09270', 'D_09271', 'D_09272', 'D_09273', 'D_09274', 'D_09275', 'D_09276', 'D_09277', 'D_09278', 'D_09279', 'D_09280', 'D_09281', 'D_09282', 'D_09283', 'D_09284', 'D_09285', 'D_09286', 'D_09287', 'D_09288', 'D_09289', 'D_09290', 'D_09291', 'D_09292', 'D_09293', 'D_09294', 'D_09295', 'D_09296', 'D_09297', 'D_09298', 'D_09299', 'D_09300', 'D_09301', 'D_09302', 'D_09303', 'D_09304', 'D_09305', 'D_09306', 'D_09307', 'D_09308', 'D_09309', 'D_09310', 'D_09311', 'D_09312', 'D_09313', 'D_09314', 'D_09315', 'D_09316', 'D_09317', 'D_09318', 'D_09319', 'D_09320', 'D_09321', 'D_09322', 'D_09323', 'D_09324', 'D_09325', 'D_09326', 'D_09327', 'D_09328', 'D_09329', 'D_09330', 'D_09331', 'D_09332', 'D_09333', 'D_09334', 'D_09335', 'D_09336', 'D_09337', 'D_09338', 'D_09339', 'D_09340', 'D_09341', 'D_09342', 'D_09343', 'D_09344', 'D_09345', 'D_09346', 'D_09347', 'D_09348', 'D_09349', 'D_09350', 'D_09351', 'D_09352', 'D_09353', 'D_09354', 'D_09355', 'D_09356', 'D_09357', 'D_09358', 'D_09359', 'D_09360', 'D_09361', 'D_09362', 'D_09363', 'D_09364', 'D_09365', 'D_09366', 'D_09367', 'D_09368', 'D_09369', 'D_09370', 'D_09371', 'D_09372', 'D_09373', 'D_09374', 'D_09375', 'D_09376', 'D_09377', 'D_09378', 'D_09379', 'D_09380', 'D_09381', 'D_09382', 'D_09383', 'D_09384', 'D_09385', 'D_09386', 'D_09387', 'D_09388', 'D_09389', 'D_09390', 'D_09391', 'D_09392', 'D_09393', 'D_09394', 'D_09395', 'D_09396', 'D_09397', 'D_09398', 'D_09399', 'D_09400', 'D_09401', 'D_09402', 'D_09403', 'D_09404', 'D_09405', 'D_09406', 'D_09407', 'D_09408', 'D_09409', 'D_09410', 'D_09411', 'D_09412', 'D_09413', 'D_09414', 'D_09415', 'D_09416', 'D_09417', 'D_09418', 'D_09419', 'D_09420', 'D_09421', 'D_09422', 'D_09423', 'D_09424', 'D_09425', 'D_09426', 'D_09427', 'D_09428', 'D_09429', 'D_09430', 'D_09431', 'D_09432', 'D_09433', 'D_09434', 'D_09435', 'D_09436', 'D_09437', 'D_09438', 'D_09439', 'D_09440', 'D_09441', 'D_09442', 'D_09443', 'D_09444', 'D_09445', 'D_09446', 'D_09447', 'D_09448', 'D_09449', 'D_09450', 'D_09451', 'D_09452', 'D_09453', 'D_09454', 'D_09455', 'D_09456', 'D_09457', 'D_09458', 'D_09459', 'D_09460', 'D_09461', 'D_09462', 'D_09463', 'D_09464', 'D_09465', 'D_09466', 'D_09467', 'D_09468', 'D_09469', 'D_09470', 'D_09471', 'D_09472', 'D_09473', 'D_09474', 'D_09475', 'D_09476', 'D_09477', 'D_09478', 'D_09479', 'D_09480', 'D_09481', 'D_09482', 'D_09483', 'D_09484', 'D_09485', 'D_09486', 'D_09487', 'D_09488', 'D_09489', 'D_09490', 'D_09491', 'D_09492', 'D_09493', 'D_09494', 'D_09495', 'D_09496', 'D_09497', 'D_09498', 'D_09499', 'D_09500', 'D_09501', 'D_09502', 'D_09503', 'D_09504', 'D_09505', 'D_09506', 'D_09507', 'D_09508', 'D_09509', 'D_09510', 'D_09511', 'D_09512', 'D_09513', 'D_09514', 'D_09515', 'D_09516', 'D_09517', 'D_09518', 'D_09519', 'D_09520', 'D_09521', 'D_09522', 'D_09523', 'D_09524', 'D_09525', 'D_09526', 'D_09527', 'D_09528', 'D_09529', 'D_09530', 'D_09531', 'D_09532', 'D_09533', 'D_09534', 'D_09535', 'D_09536', 'D_09537', 'D_09538', 'D_09539', 'D_09540', 'D_09541', 'D_09542', 'D_09543', 'D_09544', 'D_09545', 'D_09546', 'D_09547', 'D_09548', 'D_09549', 'D_09550', 'D_09551', 'D_09552', 'D_09553', 'D_09554', 'D_09555', 'D_09556', 'D_09557', 'D_09558', 'D_09559', 'D_09560', 'D_09561', 'D_09562', 'D_09563', 'D_09564', 'D_09565', 'D_09566', 'D_09567', 'D_09568', 'D_09569', 'D_09570', 'D_09571', 'D_09572', 'D_09573', 'D_09574', 'D_09575', 'D_09576', 'D_09577', 'D_09578', 'D_09579', 'D_09580', 'D_09581', 'D_09582', 'D_09583', 'D_09584', 'D_09585', 'D_09586', 'D_09587', 'D_09588', 'D_09589', 'D_09590', 'D_09591', 'D_09592', 'D_09593', 'D_09594', 'D_09595', 'D_09596', 'D_09597', 'D_09598', 'D_09599', 'D_09600', 'D_09601', 'D_09602', 'D_09603', 'D_09604', 'D_09605', 'D_09606', 'D_09607', 'D_09608', 'D_09609', 'D_09610', 'D_09611', 'D_09612', 'D_09613', 'D_09614', 'D_09615', 'D_09616', 'D_09617', 'D_09618', 'D_09619', 'D_09620', 'D_09621', 'D_09622', 'D_09623', 'D_09624', 'D_09625', 'D_09626', 'D_09627', 'D_09628', 'D_09629', 'D_09630', 'D_09631', 'D_09632', 'D_09633', 'D_09634', 'D_09635', 'D_09636', 'D_09637', 'D_09638', 'D_09639', 'D_09640', 'D_09641', 'D_09642', 'D_09643', 'D_09644', 'D_09645', 'D_09646', 'D_09647', 'D_09648', 'D_09649', 'D_09650', 'D_09651', 'D_09652', 'D_09653', 'D_09654', 'D_09655', 'D_09656', 'D_09657', 'D_09658', 'D_09659', 'D_09660', 'D_09661', 'D_09662', 'D_09663', 'D_09664', 'D_09665', 'D_09666', 'D_09667', 'D_09668', 'D_09669', 'D_09670', 'D_09671', 'D_09672', 'D_09673', 'D_09674', 'D_09675', 'D_09676', 'D_09677', 'D_09678', 'D_09679', 'D_09680', 'D_09681', 'D_09682', 'D_09683', 'D_09684', 'D_09685', 'D_09686', 'D_09687', 'D_09688', 'D_09689', 'D_09690', 'D_09691', 'D_09692', 'D_09693', 'D_09694', 'D_09695', 'D_09696', 'D_09697', 'D_09698', 'D_09699', 'D_09700', 'D_09701', 'D_09702', 'D_09703', 'D_09704', 'D_09705', 'D_09706', 'D_09707', 'D_09708', 'D_09709', 'D_09710', 'D_09711', 'D_09712', 'D_09713', 'D_09714', 'D_09715', 'D_09716', 'D_09717', 'D_09718', 'D_09719', 'D_09720', 'D_09721', 'D_09722', 'D_09723', 'D_09724', 'D_09725', 'D_09726', 'D_09727', 'D_09728', 'D_09729', 'D_09730', 'D_09731', 'D_09732', 'D_09733', 'D_09734', 'D_09735', 'D_09736', 'D_09737', 'D_09738', 'D_09739', 'D_09740', 'D_09741', 'D_09742', 'D_09743', 'D_09744', 'D_09745', 'D_09746', 'D_09747', 'D_09748', 'D_09749', 'D_09750', 'D_09751', 'D_09752', 'D_09753', 'D_09754', 'D_09755', 'D_09756', 'D_09757', 'D_09758', 'D_09759', 'D_09760', 'D_09761', 'D_09762', 'D_09763', 'D_09764', 'D_09765', 'D_09766', 'D_09767', 'D_09768', 'D_09769', 'D_09770', 'D_09771', 'D_09772', 'D_09773', 'D_09774', 'D_09775', 'D_09776', 'D_09777', 'D_09778', 'D_09779', 'D_09780', 'D_09781', 'D_09782', 'D_09783', 'D_09784', 'D_09785', 'D_09786', 'D_09787', 'D_09788', 'D_09789', 'D_09790', 'D_09791', 'D_09792', 'D_09793', 'D_09794', 'D_09795', 'D_09796', 'D_09797', 'D_09798', 'D_09799', 'D_09800', 'D_09801', 'D_09802', 'D_09803', 'D_09804', 'D_09805', 'D_09806', 'D_09807', 'D_09808', 'D_09809', 'D_09810', 'D_09811', 'D_09812', 'D_09813', 'D_09814', 'D_09815', 'D_09816', 'D_09817', 'D_09818', 'D_09819', 'D_09820', 'D_09821', 'D_09822', 'D_09823', 'D_09824', 'D_09825', 'D_09826', 'D_09827', 'D_09828', 'D_09829', 'D_09830', 'D_09831', 'D_09832', 'D_09833', 'D_09834', 'D_09835', 'D_09836', 'D_09837', 'D_09838', 'D_09839', 'D_09840', 'D_09841', 'D_09842', 'D_09843', 'D_09844', 'D_09845', 'D_09846', 'D_09847', 'D_09848', 'D_09849', 'D_09850', 'D_09851', 'D_09852', 'D_09853', 'D_09854', 'D_09855', 'D_09856', 'D_09857', 'D_09858', 'D_09859', 'D_09860', 'D_09861', 'D_09862', 'D_09863', 'D_09864', 'D_09865', 'D_09866', 'D_09867', 'D_09868', 'D_09869', 'D_09870', 'D_09871', 'D_09872', 'D_09873', 'D_09874', 'D_09875', 'D_09876', 'D_09877', 'D_09878', 'D_09879', 'D_09880', 'D_09881', 'D_09882', 'D_09883', 'D_09884', 'D_09885', 'D_09886', 'D_09887', 'D_09888', 'D_09889', 'D_09890', 'D_09891', 'D_09892', 'D_09893', 'D_09894', 'D_09895', 'D_09896', 'D_09897', 'D_09898', 'D_09899', 'D_09900', 'D_09901', 'D_09902', 'D_09903', 'D_09904', 'D_09905', 'D_09906', 'D_09907', 'D_09908', 'D_09909', 'D_09910', 'D_09911', 'D_09912', 'D_09913', 'D_09914', 'D_09915', 'D_09916', 'D_09917', 'D_09918', 'D_09919', 'D_09920', 'D_09921', 'D_09922', 'D_09923', 'D_09924', 'D_09925', 'D_09926', 'D_09927', 'D_09928', 'D_09929', 'D_09930', 'D_09931', 'D_09932', 'D_09933', 'D_09934', 'D_09935', 'D_09936', 'D_09937', 'D_09938', 'D_09939', 'D_09940', 'D_09941', 'D_09942', 'D_09943', 'D_09944', 'D_09945', 'D_09946', 'D_09947', 'D_09948', 'D_09949', 'D_09950', 'D_09951', 'D_09952', 'D_09953', 'D_09954', 'D_09955', 'D_09956', 'D_09957', 'D_09958', 'D_09959', 'D_09960', 'D_09961', 'D_09962', 'D_09963', 'D_09964', 'D_09965', 'D_09966', 'D_09967', 'D_09968', 'D_09969', 'D_09970', 'D_09971', 'D_09972', 'D_09973', 'D_09974', 'D_09975', 'D_09976', 'D_09977', 'D_09978', 'D_09979', 'D_09980', 'D_09981', 'D_09982', 'D_09983', 'D_09984', 'D_09985', 'D_09986', 'D_09987', 'D_09988', 'D_09989', 'D_09990', 'D_09991', 'D_09992', 'D_09993', 'D_09994', 'D_09995', 'D_09996', 'D_09997', 'D_09998', 'D_09999', 'D_10000', 'D_10001', 'D_10002', 'D_10003', 'D_10004', 'D_10005', 'D_10006', 'D_10007', 'D_10008', 'D_10009', 'D_10010', 'D_10011', 'D_10012', 'D_10013', 'D_10014', 'D_10015', 'D_10016', 'D_10017', 'D_10018', 'D_10019', 'D_10020', 'D_10021', 'D_10022', 'D_10023', 'D_10024', 'D_10025', 'D_10026', 'D_10027', 'D_10028', 'D_10029', 'D_10030', 'D_10031', 'D_10032', 'D_10033', 'D_10034', 'D_10035', 'D_10036', 'D_10037', 'D_10038', 'D_10039', 'D_10040', 'D_10041', 'D_10042', 'D_10043', 'D_10044', 'D_10045', 'D_10046', 'D_10047', 'D_10048', 'D_10049', 'D_10050', 'D_10051', 'D_10052', 'D_10053', 'D_10054', 'D_10055', 'D_10056', 'D_10057', 'D_10058', 'D_10059', 'D_10060', 'D_10061', 'D_10062', 'D_10063', 'D_10064', 'D_10065', 'D_10066', 'D_10067', 'D_10068', 'D_10069', 'D_10070', 'D_10071', 'D_10072', 'D_10073', 'D_10074', 'D_10075', 'D_10076', 'D_10077', 'D_10078', 'D_10079', 'D_10080', 'D_10081', 'D_10082', 'D_10083', 'D_10084', 'D_10085', 'D_10086', 'D_10087', 'D_10088', 'D_10089', 'D_10090', 'D_10091', 'D_10092', 'D_10093', 'D_10094', 'D_10095', 'D_10096', 'D_10097', 'D_10098', 'D_10099', 'D_10100', 'D_10101', 'D_10102', 'D_10103', 'D_10104', 'D_10105', 'D_10106', 'D_10107', 'D_10108', 'D_10109', 'D_10110', 'D_10111', 'D_10112', 'D_10113', 'D_10114', 'D_10115', 'D_10116', 'D_10117', 'D_10118', 'D_10119', 'D_10120', 'D_10121', 'D_10122', 'D_10123', 'D_10124', 'D_10125', 'D_10126', 'D_10127', 'D_10128', 'D_10129', 'D_10130', 'D_10131', 'D_10132', 'D_10133', 'D_10134', 'D_10135', 'D_10136', 'D_10137', 'D_10138', 'D_10139', 'D_10140', 'D_10141', 'D_10142', 'D_10143', 'D_10144', 'D_10145', 'D_10146', 'D_10147', 'D_10148', 'D_10149', 'D_10150', 'D_10151', 'D_10152', 'D_10153', 'D_10154', 'D_10155', 'D_10156', 'D_10157', 'D_10158', 'D_10159', 'D_10160', 'D_10161', 'D_10162', 'D_10163', 'D_10164', 'D_10165', 'D_10166', 'D_10167', 'D_10168', 'D_10169', 'D_10170', 'D_10171', 'D_10172', 'D_10173', 'D_10174', 'D_10175', 'D_10176', 'D_10177', 'D_10178', 'D_10179', 'D_10180', 'D_10181', 'D_10182', 'D_10183', 'D_10184', 'D_10185', 'D_10186', 'D_10187', 'D_10188', 'D_10189', 'D_10190', 'D_10191', 'D_10192', 'D_10193', 'D_10194', 'D_10195', 'D_10196', 'D_10197', 'D_10198', 'D_10199', 'D_10200', 'D_10201', 'D_10202', 'D_10203', 'D_10204', 'D_10205', 'D_10206', 'D_10207', 'D_10208', 'D_10209', 'D_10210', 'D_10211', 'D_10212', 'D_10213', 'D_10214', 'D_10215', 'D_10216', 'D_10217', 'D_10218', 'D_10219', 'D_10220', 'D_10221', 'D_10222', 'D_10223', 'D_10224', 'D_10225', 'D_10226', 'D_10227', 'D_10228', 'D_10229', 'D_10230', 'D_10231', 'D_10232', 'D_10233', 'D_10234', 'D_10235', 'D_10236', 'D_10237', 'D_10238', 'D_10239', 'D_10240', 'D_10241', 'D_10242', 'D_10243', 'D_10244', 'D_10245', 'D_10246', 'D_10247', 'D_10248', 'D_10249', 'D_10250', 'D_10251', 'D_10252', 'D_10253', 'D_10254', 'D_10255', 'D_10256', 'D_10257', 'D_10258', 'D_10259', 'D_10260', 'D_10261', 'D_10262', 'D_10263', 'D_10264', 'D_10265', 'D_10266', 'D_10267', 'D_10268', 'D_10269', 'D_10270', 'D_10271', 'D_10272', 'D_10273', 'D_10274', 'D_10275', 'D_10276', 'D_10277', 'D_10278', 'D_10279', 'D_10280', 'D_10281', 'D_10282', 'D_10283', 'D_10284', 'D_10285', 'D_10286', 'D_10287', 'D_10288', 'D_10289', 'D_10290', 'D_10291', 'D_10292', 'D_10293', 'D_10294', 'D_10295', 'D_10296', 'D_10297', 'D_10298', 'D_10299', 'D_10300', 'D_10301', 'D_10302', 'D_10303', 'D_10304', 'D_10305', 'D_10306', 'D_10307', 'D_10308', 'D_10309', 'D_10310', 'D_10311', 'D_10312', 'D_10313', 'D_10314', 'D_10315', 'D_10316', 'D_10317', 'D_10318', 'D_10319', 'D_10320', 'D_10321', 'D_10322', 'D_10323', 'D_10324', 'D_10325', 'D_10326', 'D_10327', 'D_10328', 'D_10329', 'D_10330', 'D_10331', 'D_10332', 'D_10333', 'D_10334', 'D_10335', 'D_10336', 'D_10337', 'D_10338', 'D_10339', 'D_10340', 'D_10341', 'D_10342', 'D_10343', 'D_10344', 'D_10345', 'D_10346', 'D_10347', 'D_10348', 'D_10349', 'D_10350', 'D_10351', 'D_10352', 'D_10353', 'D_10354', 'D_10355', 'D_10356', 'D_10357', 'D_10358', 'D_10359', 'D_10360', 'D_10361', 'D_10362', 'D_10363', 'D_10364', 'D_10365', 'D_10366', 'D_10367', 'D_10368', 'D_10369', 'D_10370', 'D_10371', 'D_10372', 'D_10373', 'D_10374', 'D_10375', 'D_10376', 'D_10377', 'D_10378', 'D_10379', 'D_10380', 'D_10381', 'D_10382', 'D_10383', 'D_10384', 'D_10385', 'D_10386', 'D_10387', 'D_10388', 'D_10389', 'D_10390', 'D_10391', 'D_10392', 'D_10393', 'D_10394', 'D_10395', 'D_10396', 'D_10397', 'D_10398', 'D_10399', 'D_10400', 'D_10401', 'D_10402', 'D_10403', 'D_10404', 'D_10405', 'D_10406', 'D_10407', 'D_10408', 'D_10409', 'D_10410', 'D_10411', 'D_10412', 'D_10413', 'D_10414', 'D_10415', 'D_10416', 'D_10417', 'D_10418', 'D_10419', 'D_10420', 'D_10421', 'D_10422', 'D_10423', 'D_10424', 'D_10425', 'D_10426', 'D_10427', 'D_10428', 'D_10429', 'D_10430', 'D_10431', 'D_10432', 'D_10433', 'D_10434', 'D_10435', 'D_10436', 'D_10437', 'D_10438', 'D_10439', 'D_10440', 'D_10441', 'D_10442', 'D_10443', 'D_10444', 'D_10445', 'D_10446', 'D_10447', 'D_10448', 'D_10449', 'D_10450', 'D_10451', 'D_10452', 'D_10453', 'D_10454', 'D_10455', 'D_10456', 'D_10457', 'D_10458', 'D_10459', 'D_10460', 'D_10461', 'D_10462', 'D_10463', 'D_10464', 'D_10465', 'D_10466', 'D_10467', 'D_10468', 'D_10469', 'D_10470', 'D_10471', 'D_10472', 'D_10473', 'D_10474', 'D_10475', 'D_10476', 'D_10477', 'D_10478', 'D_10479', 'D_10480', 'D_10481', 'D_10482', 'D_10483', 'D_10484', 'D_10485', 'D_10486', 'D_10487', 'D_10488', 'D_10489', 'D_10490', 'D_10491', 'D_10492', 'D_10493', 'D_10494', 'D_10495', 'D_10496', 'D_10497', 'D_10498', 'D_10499', 'D_10500', 'D_10501', 'D_10502', 'D_10503', 'D_10504', 'D_10505', 'D_10506', 'D_10507', 'D_10508', 'D_10509', 'D_10510', 'D_10511', 'D_10512', 'D_10513', 'D_10514', 'D_10515', 'D_10516', 'D_10517', 'D_10518', 'D_10519', 'D_10520', 'D_10521', 'D_10522', 'D_10523', 'D_10524', 'D_10525', 'D_10526', 'D_10527', 'D_10528', 'D_10529', 'D_10530', 'D_10531', 'D_10532', 'D_10533', 'D_10534', 'D_10535', 'D_10536', 'D_10537', 'D_10538', 'D_10539', 'D_10540', 'D_10541', 'D_10542', 'D_10543', 'D_10544', 'D_10545', 'D_10546', 'D_10547', 'D_10548', 'D_10549', 'D_10550', 'D_10551', 'D_10552', 'D_10553', 'D_10554', 'D_10555', 'D_10556', 'D_10557', 'D_10558', 'D_10559', 'D_10560', 'D_10561', 'D_10562', 'D_10563', 'D_10564', 'D_10565', 'D_10566', 'D_10567', 'D_10568', 'D_10569', 'D_10570', 'D_10571', 'D_10572', 'D_10573', 'D_10574', 'D_10575', 'D_10576', 'D_10577', 'D_10578', 'D_10579', 'D_10580', 'D_10581', 'D_10582', 'D_10583', 'D_10584', 'D_10585', 'D_10586', 'D_10587', 'D_10588', 'D_10589', 'D_10590', 'D_10591', 'D_10592', 'D_10593', 'D_10594', 'D_10595', 'D_10596', 'D_10597', 'D_10598', 'D_10599', 'D_10600', 'D_10601', 'D_10602', 'D_10603', 'D_10604', 'D_10605', 'D_10606', 'D_10607', 'D_10608', 'D_10609', 'D_10610', 'D_10611', 'D_10612', 'D_10613', 'D_10614', 'D_10615', 'D_10616', 'D_10617', 'D_10618', 'D_10619', 'D_10620', 'D_10621', 'D_10622', 'D_10623', 'D_10624', 'D_10625', 'D_10626', 'D_10627', 'D_10628', 'D_10629', 'D_10630', 'D_10631', 'D_10632', 'D_10633', 'D_10634', 'D_10635', 'D_10636', 'D_10637', 'D_10638', 'D_10639', 'D_10640', 'D_10641', 'D_10642', 'D_10643', 'D_10644', 'D_10645', 'D_10646', 'D_10647', 'D_10648', 'D_10649', 'D_10650', 'D_10651', 'D_10652', 'D_10653', 'D_10654', 'D_10655', 'D_10656', 'D_10657', 'D_10658', 'D_10659', 'D_10660', 'D_10661', 'D_10662', 'D_10663', 'D_10664', 'D_10665', 'D_10666', 'D_10667', 'D_10668', 'D_10669', 'D_10670', 'D_10671', 'D_10672', 'D_10673', 'D_10674', 'D_10675', 'D_10676', 'D_10677', 'D_10678', 'D_10679', 'D_10680', 'D_10681', 'D_10682', 'D_10683', 'D_10684', 'D_10685', 'D_10686', 'D_10687', 'D_10688', 'D_10689', 'D_10690', 'D_10691', 'D_10692', 'D_10693', 'D_10694', 'D_10695', 'D_10696', 'D_10697', 'D_10698', 'D_10699', 'D_10700', 'D_10701', 'D_10702', 'D_10703', 'D_10704', 'D_10705', 'D_10706', 'D_10707', 'D_10708', 'D_10709', 'D_10710', 'D_10711', 'D_10712', 'D_10713', 'D_10714', 'D_10715', 'D_10716', 'D_10717', 'D_10718', 'D_10719', 'D_10720', 'D_10721', 'D_10722', 'D_10723', 'D_10724', 'D_10725', 'D_10726', 'D_10727', 'D_10728', 'D_10729', 'D_10730', 'D_10731', 'D_10732', 'D_10733', 'D_10734', 'D_10735', 'D_10736', 'D_10737', 'D_10738', 'D_10739', 'D_10740', 'D_10741', 'D_10742', 'D_10743', 'D_10744', 'D_10745', 'D_10746', 'D_10747', 'D_10748', 'D_10749', 'D_10750', 'D_10751', 'D_10752', 'D_10753', 'D_10754', 'D_10755', 'D_10756', 'D_10757', 'D_10758', 'D_10759', 'D_10760', 'D_10761', 'D_10762', 'D_10763', 'D_10764', 'D_10765', 'D_10766', 'D_10767', 'D_10768', 'D_10769', 'D_10770', 'D_10771', 'D_10772', 'D_10773', 'D_10774', 'D_10775', 'D_10776', 'D_10777', 'D_10778', 'D_10779', 'D_10780', 'D_10781', 'D_10782', 'D_10783', 'D_10784', 'D_10785', 'D_10786', 'D_10787', 'D_10788', 'D_10789', 'D_10790', 'D_10791', 'D_10792', 'D_10793', 'D_10794', 'D_10795', 'D_10796', 'D_10797', 'D_10798', 'D_10799', 'D_10800', 'D_10801', 'D_10802', 'D_10803', 'D_10804', 'D_10805', 'D_10806', 'D_10807', 'D_10808', 'D_10809', 'D_10810', 'D_10811', 'D_10812', 'D_10813', 'D_10814', 'D_10815', 'D_10816', 'D_10817', 'D_10818', 'D_10819', 'D_10820', 'D_10821', 'D_10822', 'D_10823', 'D_10824', 'D_10825', 'D_10826', 'D_10827', 'D_10828', 'D_10829', 'D_10830', 'D_10831', 'D_10832', 'D_10833', 'D_10834', 'D_10835', 'D_10836', 'D_10837', 'D_10838', 'D_10839', 'D_10840', 'D_10841', 'D_10842', 'D_10843', 'D_10844', 'D_10845', 'D_10846', 'D_10847', 'D_10848', 'D_10849', 'D_10850', 'D_10851', 'D_10852', 'D_10853', 'D_10854', 'D_10855', 'D_10856', 'D_10857', 'D_10858', 'D_10859', 'D_10860', 'D_10861', 'D_10862', 'D_10863', 'D_10864', 'D_10865', 'D_10866', 'D_10867', 'D_10868', 'D_10869', 'D_10870', 'D_10871', 'D_10872', 'D_10873', 'D_10874', 'D_10875', 'D_10876', 'D_10877', 'D_10878', 'D_10879', 'D_10880', 'D_10881', 'D_10882', 'D_10883', 'D_10884', 'D_10885', 'D_10886', 'D_10887', 'D_10888', 'D_10889', 'D_10890', 'D_10891', 'D_10892', 'D_10893', 'D_10894', 'D_10895', 'D_10896', 'D_10897', 'D_10898', 'D_10899', 'D_10900', 'D_10901', 'D_10902', 'D_10903', 'D_10904', 'D_10905', 'D_10906', 'D_10907', 'D_10908', 'D_10909', 'D_10910', 'D_10911', 'D_10912', 'D_10913', 'D_10914', 'D_10915', 'D_10916', 'D_10917', 'D_10918', 'D_10919', 'D_10920', 'D_10921', 'D_10922', 'D_10923', 'D_10924', 'D_10925', 'D_10926', 'D_10927', 'D_10928', 'D_10929', 'D_10930', 'D_10931', 'D_10932', 'D_10933', 'D_10934', 'D_10935', 'D_10936', 'D_10937', 'D_10938', 'D_10939', 'D_10940', 'D_10941', 'D_10942', 'D_10943', 'D_10944', 'D_10945', 'D_10946', 'D_10947', 'D_10948', 'D_10949', 'D_10950', 'D_10951', 'D_10952', 'D_10953', 'D_10954', 'D_10955', 'D_10956', 'D_10957', 'D_10958', 'D_10959', 'D_10960', 'D_10961', 'D_10962', 'D_10963', 'D_10964', 'D_10965', 'D_10966', 'D_10967', 'D_10968', 'D_10969', 'D_10970', 'D_10971', 'D_10972', 'D_10973', 'D_10974', 'D_10975', 'D_10976', 'D_10977', 'D_10978', 'D_10979', 'D_10980', 'D_10981', 'D_10982', 'D_10983', 'D_10984', 'D_10985', 'D_10986', 'D_10987', 'D_10988', 'D_10989', 'D_10990', 'D_10991', 'D_10992', 'D_10993', 'D_10994', 'D_10995', 'D_10996', 'D_10997', 'D_10998', 'D_10999', 'D_11000', 'D_11001', 'D_11002', 'D_11003', 'D_11004', 'D_11005', 'D_11006', 'D_11007', 'D_11008', 'D_11009', 'D_11010', 'D_11011', 'D_11012', 'D_11013', 'D_11014', 'D_11015', 'D_11016', 'D_11017', 'D_11018', 'D_11019', 'D_11020', 'D_11021', 'D_11022', 'D_11023', 'D_11024', 'D_11025', 'D_11026', 'D_11027', 'D_11028', 'D_11029', 'D_11030', 'D_11031', 'D_11032', 'D_11033', 'D_11034', 'D_11035', 'D_11036', 'D_11037', 'D_11038', 'D_11039', 'D_11040', 'D_11041', 'D_11042', 'D_11043', 'D_11044', 'D_11045', 'D_11046', 'D_11047', 'D_11048', 'D_11049', 'D_11050', 'D_11051', 'D_11052', 'D_11053', 'D_11054', 'D_11055', 'D_11056', 'D_11057', 'D_11058', 'D_11059', 'D_11060', 'D_11061', 'D_11062', 'D_11063', 'D_11064', 'D_11065', 'D_11066', 'D_11067', 'D_11068', 'D_11069', 'D_11070', 'D_11071', 'D_11072', 'D_11073', 'D_11074', 'D_11075', 'D_11076', 'D_11077', 'D_11078', 'D_11079', 'D_11080', 'D_11081', 'D_11082', 'D_11083', 'D_11084', 'D_11085', 'D_11086', 'D_11087', 'D_11088', 'D_11089', 'D_11090', 'D_11091', 'D_11092', 'D_11093', 'D_11094', 'D_11095', 'D_11096', 'D_11097', 'D_11098', 'D_11099', 'D_11100', 'D_11101', 'D_11102', 'D_11103', 'D_11104', 'D_11105', 'D_11106', 'D_11107', 'D_11108', 'D_11109', 'D_11110', 'D_11111', 'D_11112', 'D_11113', 'D_11114', 'D_11115', 'D_11116', 'D_11117', 'D_11118', 'D_11119', 'D_11120', 'D_11121', 'D_11122', 'D_11123', 'D_11124', 'D_11125', 'D_11126', 'D_11127', 'D_11128', 'D_11129', 'D_11130', 'D_11131', 'D_11132', 'D_11133', 'D_11134', 'D_11135', 'D_11136', 'D_11137', 'D_11138', 'D_11139', 'D_11140', 'D_11141', 'D_11142', 'D_11143', 'D_11144', 'D_11145', 'D_11146', 'D_11147', 'D_11148', 'D_11149', 'D_11150', 'D_11151', 'D_11152', 'D_11153', 'D_11154', 'D_11155', 'D_11156', 'D_11157', 'D_11158', 'D_11159', 'D_11160', 'D_11161', 'D_11162', 'D_11163', 'D_11164', 'D_11165', 'D_11166', 'D_11167', 'D_11168', 'D_11169', 'D_11170', 'D_11171', 'D_11172', 'D_11173', 'D_11174', 'D_11175', 'D_11176', 'D_11177', 'D_11178', 'D_11179', 'D_11180', 'D_11181', 'D_11182', 'D_11183', 'D_11184', 'D_11185', 'D_11186', 'D_11187', 'D_11188', 'D_11189', 'D_11190', 'D_11191', 'D_11192', 'D_11193', 'D_11194', 'D_11195', 'D_11196', 'D_11197', 'D_11198', 'D_11199', 'D_11200', 'D_11201', 'D_11202', 'D_11203', 'D_11204', 'D_11205', 'D_11206', 'D_11207', 'D_11208', 'D_11209', 'D_11210', 'D_11211', 'D_11212', 'D_11213', 'D_11214', 'D_11215', 'D_11216', 'D_11217', 'D_11218', 'D_11219', 'D_11220', 'D_11221', 'D_11222', 'D_11223', 'D_11224', 'D_11225', 'D_11226', 'D_11227', 'D_11228', 'D_11229', 'D_11230', 'D_11231', 'D_11232', 'D_11233', 'D_11234', 'D_11235', 'D_11236', 'D_11237', 'D_11238', 'D_11239', 'D_11240', 'D_11241', 'D_11242', 'D_11243', 'D_11244', 'D_11245', 'D_11246', 'D_11247', 'D_11248', 'D_11249', 'D_11250', 'D_11251', 'D_11252', 'D_11253', 'D_11254', 'D_11255', 'D_11256', 'D_11257', 'D_11258', 'D_11259', 'D_11260', 'D_11261', 'D_11262', 'D_11263', 'D_11264', 'D_11265', 'D_11266', 'D_11267', 'D_11268', 'D_11269', 'D_11270', 'D_11271', 'D_11272', 'D_11273', 'D_11274', 'D_11275', 'D_11276', 'D_11277', 'D_11278', 'D_11279', 'D_11280', 'D_11281', 'D_11282', 'D_11283', 'D_11284', 'D_11285', 'D_11286', 'D_11287', 'D_11288', 'D_11289', 'D_11290', 'D_11291', 'D_11292', 'D_11293', 'D_11294', 'D_11295', 'D_11296', 'D_11297', 'D_11298', 'D_11299', 'D_11300', 'D_11301', 'D_11302', 'D_11303', 'D_11304', 'D_11305', 'D_11306', 'D_11307', 'D_11308', 'D_11309', 'D_11310', 'D_11311', 'D_11312', 'D_11313', 'D_11314', 'D_11315', 'D_11316', 'D_11317', 'D_11318', 'D_11319', 'D_11320', 'D_11321', 'D_11322', 'D_11323', 'D_11324', 'D_11325', 'D_11326', 'D_11327', 'D_11328', 'D_11329', 'D_11330', 'D_11331', 'D_11332', 'D_11333', 'D_11334', 'D_11335', 'D_11336', 'D_11337', 'D_11338', 'D_11339', 'D_11340', 'D_11341', 'D_11342', 'D_11343', 'D_11344', 'D_11345', 'D_11346', 'D_11347', 'D_11348', 'D_11349', 'D_11350', 'D_11351', 'D_11352', 'D_11353', 'D_11354', 'D_11355', 'D_11356', 'D_11357', 'D_11358', 'D_11359', 'D_11360', 'D_11361', 'D_11362', 'D_11363', 'D_11364', 'D_11365', 'D_11366', 'D_11367', 'D_11368', 'D_11369', 'D_11370', 'D_11371', 'D_11372', 'D_11373', 'D_11374', 'D_11375', 'D_11376', 'D_11377', 'D_11378', 'D_11379', 'D_11380', 'D_11381', 'D_11382', 'D_11383', 'D_11384', 'D_11385', 'D_11386', 'D_11387', 'D_11388', 'D_11389', 'D_11390', 'D_11391', 'D_11392', 'D_11393', 'D_11394', 'D_11395', 'D_11396', 'D_11397', 'D_11398', 'D_11399', 'D_11400', 'D_11401', 'D_11402', 'D_11403', 'D_11404', 'D_11405', 'D_11406', 'D_11407', 'D_11408', 'D_11409', 'D_11410', 'D_11411', 'D_11412', 'D_11413', 'D_11414', 'D_11415', 'D_11416', 'D_11417', 'D_11418', 'D_11419', 'D_11420', 'D_11421', 'D_11422', 'D_11423', 'D_11424', 'D_11425', 'D_11426', 'D_11427', 'D_11428', 'D_11429', 'D_11430', 'D_11431', 'D_11432', 'D_11433', 'D_11434', 'D_11435', 'D_11436', 'D_11437', 'D_11438', 'D_11439', 'D_11440', 'D_11441', 'D_11442', 'D_11443', 'D_11444', 'D_11445', 'D_11446', 'D_11447', 'D_11448', 'D_11449', 'D_11450', 'D_11451', 'D_11452', 'D_11453', 'D_11454', 'D_11455', 'D_11456', 'D_11457', 'D_11458', 'D_11459', 'D_11460', 'D_11461', 'D_11462', 'D_11463', 'D_11464', 'D_11465', 'D_11466', 'D_11467', 'D_11468', 'D_11469', 'D_11470', 'D_11471', 'D_11472', 'D_11473', 'D_11474', 'D_11475', 'D_11476', 'D_11477', 'D_11478', 'D_11479', 'D_11480', 'D_11481', 'D_11482', 'D_11483', 'D_11484', 'D_11485', 'D_11486', 'D_11487', 'D_11488', 'D_11489', 'D_11490', 'D_11491', 'D_11492', 'D_11493', 'D_11494', 'D_11495', 'D_11496', 'D_11497', 'D_11498', 'D_11499', 'D_11500', 'D_11501', 'D_11502', 'D_11503', 'D_11504', 'D_11505', 'D_11506', 'D_11507', 'D_11508', 'D_11509', 'D_11510', 'D_11511', 'D_11512', 'D_11513', 'D_11514', 'D_11515', 'D_11516', 'D_11517', 'D_11518', 'D_11519', 'D_11520', 'D_11521', 'D_11522', 'D_11523', 'D_11524', 'D_11525', 'D_11526', 'D_11527', 'D_11528', 'D_11529', 'D_11530', 'D_11531', 'D_11532', 'D_11533', 'D_11534', 'D_11535', 'D_11536', 'D_11537', 'D_11538', 'D_11539', 'D_11540', 'D_11541', 'D_11542', 'D_11543', 'D_11544', 'D_11545', 'D_11546', 'D_11547', 'D_11548', 'D_11549', 'D_11550', 'D_11551', 'D_11552', 'D_11553', 'D_11554', 'D_11555', 'D_11556', 'D_11557', 'D_11558', 'D_11559', 'D_11560', 'D_11561', 'D_11562', 'D_11563', 'D_11564', 'D_11565', 'D_11566', 'D_11567', 'D_11568', 'D_11569', 'D_11570', 'D_11571', 'D_11572', 'D_11573', 'D_11574', 'D_11575', 'D_11576', 'D_11577', 'D_11578', 'D_11579', 'D_11580', 'D_11581', 'D_11582', 'D_11583', 'D_11584', 'D_11585', 'D_11586', 'D_11587', 'D_11588', 'D_11589', 'D_11590', 'D_11591', 'D_11592', 'D_11593', 'D_11594', 'D_11595', 'D_11596', 'D_11597', 'D_11598', 'D_11599', 'D_11600', 'D_11601', 'D_11602', 'D_11603', 'D_11604', 'D_11605', 'D_11606', 'D_11607', 'D_11608', 'D_11609', 'D_11610', 'D_11611', 'D_11612', 'D_11613', 'D_11614', 'D_11615', 'D_11616', 'D_11617', 'D_11618', 'D_11619', 'D_11620', 'D_11621', 'D_11622', 'D_11623', 'D_11624', 'D_11625', 'D_11626', 'D_11627', 'D_11628', 'D_11629', 'D_11630', 'D_11631', 'D_11632', 'D_11633', 'D_11634', 'D_11635', 'D_11636', 'D_11637', 'D_11638', 'D_11639', 'D_11640', 'D_11641', 'D_11642', 'D_11643', 'D_11644', 'D_11645', 'D_11646', 'D_11647', 'D_11648', 'D_11649', 'D_11650', 'D_11651', 'D_11652', 'D_11653', 'D_11654', 'D_11655', 'D_11656', 'D_11657', 'D_11658', 'D_11659', 'D_11660', 'D_11661', 'D_11662', 'D_11663', 'D_11664', 'D_11665', 'D_11666', 'D_11667', 'D_11668', 'D_11669', 'D_11670', 'D_11671', 'D_11672', 'D_11673', 'D_11674', 'D_11675', 'D_11676', 'D_11677', 'D_11678', 'D_11679', 'D_11680', 'D_11681', 'D_11682', 'D_11683', 'D_11684', 'D_11685', 'D_11686', 'D_11687', 'D_11688', 'D_11689', 'D_11690', 'D_11691', 'D_11692', 'D_11693', 'D_11694', 'D_11695', 'D_11696', 'D_11697', 'D_11698', 'D_11699', 'D_11700', 'D_11701', 'D_11702', 'D_11703', 'D_11704', 'D_11705', 'D_11706', 'D_11707', 'D_11708', 'D_11709', 'D_11710', 'D_11711', 'D_11712', 'D_11713', 'D_11714', 'D_11715', 'D_11716', 'D_11717', 'D_11718', 'D_11719', 'D_11720', 'D_11721', 'D_11722', 'D_11723', 'D_11724', 'D_11725', 'D_11726', 'D_11727', 'D_11728', 'D_11729', 'D_11730', 'D_11731', 'D_11732', 'D_11733', 'D_11734', 'D_11735', 'D_11736', 'D_11737', 'D_11738', 'D_11739', 'D_11740', 'D_11741', 'D_11742', 'D_11743', 'D_11744', 'D_11745', 'D_11746', 'D_11747', 'D_11748', 'D_11749', 'D_11750', 'D_11751', 'D_11752', 'D_11753', 'D_11754', 'D_11755', 'D_11756', 'D_11757', 'D_11758', 'D_11759', 'D_11760', 'D_11761', 'D_11762', 'D_11763', 'D_11764', 'D_11765', 'D_11766', 'D_11767', 'D_11768', 'D_11769', 'D_11770', 'D_11771', 'D_11772', 'D_11773', 'D_11774', 'D_11775', 'D_11776', 'D_11777', 'D_11778', 'D_11779', 'D_11780', 'D_11781', 'D_11782', 'D_11783', 'D_11784', 'D_11785', 'D_11786', 'D_11787', 'D_11788', 'D_11789', 'D_11790', 'D_11791', 'D_11792', 'D_11793', 'D_11794', 'D_11795', 'D_11796', 'D_11797', 'D_11798', 'D_11799', 'D_11800', 'D_11801', 'D_11802', 'D_11803', 'D_11804', 'D_11805', 'D_11806', 'D_11807', 'D_11808', 'D_11809', 'D_11810', 'D_11811', 'D_11812', 'D_11813', 'D_11814', 'D_11815', 'D_11816', 'D_11817', 'D_11818', 'D_11819', 'D_11820', 'D_11821', 'D_11822', 'D_11823', 'D_11824', 'D_11825', 'D_11826', 'D_11827', 'D_11828', 'D_11829', 'D_11830', 'D_11831', 'D_11832', 'D_11833', 'D_11834', 'D_11835', 'D_11836', 'D_11837', 'D_11838', 'D_11839', 'D_11840', 'D_11841', 'D_11842', 'D_11843', 'D_11844', 'D_11845', 'D_11846', 'D_11847', 'D_11848', 'D_11849', 'D_11850', 'D_11851', 'D_11852', 'D_11853', 'D_11854', 'D_11855', 'D_11856', 'D_11857', 'D_11858', 'D_11859', 'D_11860', 'D_11861', 'D_11862', 'D_11863', 'D_11864', 'D_11865', 'D_11866', 'D_11867', 'D_11868', 'D_11869', 'D_11870', 'D_11871', 'D_11872', 'D_11873', 'D_11874', 'D_11875', 'D_11876', 'D_11877', 'D_11878', 'D_11879', 'D_11880', 'D_11881', 'D_11882', 'D_11883', 'D_11884', 'D_11885', 'D_11886', 'D_11887', 'D_11888', 'D_11889', 'D_11890', 'D_11891', 'D_11892', 'D_11893', 'D_11894', 'D_11895', 'D_11896', 'D_11897', 'D_11898', 'D_11899', 'D_11900', 'D_11901', 'D_11902', 'D_11903', 'D_11904', 'D_11905', 'D_11906', 'D_11907', 'D_11908', 'D_11909', 'D_11910', 'D_11911', 'D_11912', 'D_11913', 'D_11914', 'D_11915', 'D_11916', 'D_11917', 'D_11918', 'D_11919', 'D_11920', 'D_11921', 'D_11922', 'D_11923', 'D_11924', 'D_11925', 'D_11926', 'D_11927', 'D_11928', 'D_11929', 'D_11930', 'D_11931', 'D_11932', 'D_11933', 'D_11934', 'D_11935', 'D_11936', 'D_11937', 'D_11938', 'D_11939', 'D_11940', 'D_11941', 'D_11942', 'D_11943', 'D_11944', 'D_11945', 'D_11946', 'D_11947', 'D_11948', 'D_11949', 'D_11950', 'D_11951', 'D_11952', 'D_11953', 'D_11954', 'D_11955', 'D_11956', 'D_11957', 'D_11958', 'D_11959', 'D_11960', 'D_11961', 'D_11962', 'D_11963', 'D_11964', 'D_11965', 'D_11966', 'D_11967', 'D_11968', 'D_11969', 'D_11970', 'D_11971', 'D_11972', 'D_11973', 'D_11974', 'D_11975', 'D_11976', 'D_11977', 'D_11978', 'D_11979', 'D_11980', 'D_11981', 'D_11982', 'D_11983', 'D_11984', 'D_11985', 'D_11986', 'D_11987', 'D_11988', 'D_11989', 'D_11990', 'D_11991', 'D_11992', 'D_11993', 'D_11994', 'D_11995', 'D_11996', 'D_11997', 'D_11998', 'D_11999', 'D_12000', 'D_12001', 'D_12002', 'D_12003', 'D_12004', 'D_12005', 'D_12006', 'D_12007', 'D_12008', 'D_12009', 'D_12010', 'D_12011', 'D_12012', 'D_12013', 'D_12014', 'D_12015', 'D_12016', 'D_12017', 'D_12018', 'D_12019', 'D_12020', 'D_12021', 'D_12022', 'D_12023', 'D_12024', 'D_12025', 'D_12026', 'D_12027', 'D_12028', 'D_12029', 'D_12030', 'D_12031', 'D_12032', 'D_12033', 'D_12034', 'D_12035', 'D_12036', 'D_12037', 'D_12038', 'D_12039', 'D_12040', 'D_12041', 'D_12042', 'D_12043', 'D_12044', 'D_12045', 'D_12046', 'D_12047', 'D_12048', 'D_12049', 'D_12050', 'D_12051', 'D_12052', 'D_12053', 'D_12054', 'D_12055', 'D_12056', 'D_12057', 'D_12058', 'D_12059', 'D_12060', 'D_12061', 'D_12062', 'D_12063', 'D_12064', 'D_12065', 'D_12066', 'D_12067', 'D_12068', 'D_12069', 'D_12070', 'D_12071', 'D_12072', 'D_12073', 'D_12074', 'D_12075', 'D_12076', 'D_12077', 'D_12078', 'D_12079', 'D_12080', 'D_12081', 'D_12082', 'D_12083', 'D_12084', 'D_12085', 'D_12086', 'D_12087', 'D_12088', 'D_12089', 'D_12090', 'D_12091', 'D_12092', 'D_12093', 'D_12094', 'D_12095', 'D_12096', 'D_12097', 'D_12098', 'D_12099', 'D_12100', 'D_12101', 'D_12102', 'D_12103', 'D_12104', 'D_12105', 'D_12106', 'D_12107', 'D_12108', 'D_12109', 'D_12110', 'D_12111', 'D_12112', 'D_12113', 'D_12114', 'D_12115', 'D_12116', 'D_12117', 'D_12118', 'D_12119', 'D_12120', 'D_12121', 'D_12122', 'D_12123', 'D_12124', 'D_12125', 'D_12126', 'D_12127', 'D_12128', 'D_12129', 'D_12130', 'D_12131', 'D_12132', 'D_12133', 'D_12134', 'D_12135', 'D_12136', 'D_12137', 'D_12138', 'D_12139', 'D_12140', 'D_12141', 'D_12142', 'D_12143', 'D_12144', 'D_12145', 'D_12146', 'D_12147', 'D_12148', 'D_12149', 'D_12150', 'D_12151', 'D_12152', 'D_12153', 'D_12154', 'D_12155', 'D_12156', 'D_12157', 'D_12158', 'D_12159', 'D_12160', 'D_12161', 'D_12162', 'D_12163', 'D_12164', 'D_12165', 'D_12166', 'D_12167', 'D_12168', 'D_12169', 'D_12170', 'D_12171', 'D_12172', 'D_12173', 'D_12174', 'D_12175', 'D_12176', 'D_12177', 'D_12178', 'D_12179', 'D_12180', 'D_12181', 'D_12182', 'D_12183', 'D_12184', 'D_12185', 'D_12186', 'D_12187', 'D_12188', 'D_12189', 'D_12190', 'D_12191', 'D_12192', 'D_12193', 'D_12194', 'D_12195', 'D_12196', 'D_12197', 'D_12198', 'D_12199', 'D_12200', 'D_12201', 'D_12202', 'D_12203', 'D_12204', 'D_12205', 'D_12206', 'D_12207', 'D_12208', 'D_12209', 'D_12210', 'D_12211', 'D_12212', 'D_12213', 'D_12214', 'D_12215', 'D_12216', 'D_12217', 'D_12218', 'D_12219', 'D_12220', 'D_12221', 'D_12222', 'D_12223', 'D_12224', 'D_12225', 'D_12226', 'D_12227', 'D_12228', 'D_12229', 'D_12230', 'D_12231', 'D_12232', 'D_12233', 'D_12234', 'D_12235', 'D_12236', 'D_12237', 'D_12238', 'D_12239', 'D_12240', 'D_12241', 'D_12242', 'D_12243', 'D_12244', 'D_12245', 'D_12246', 'D_12247', 'D_12248', 'D_12249', 'D_12250', 'D_12251', 'D_12252', 'D_12253', 'D_12254', 'D_12255', 'D_12256', 'D_12257', 'D_12258', 'D_12259', 'D_12260', 'D_12261', 'D_12262', 'D_12263', 'D_12264', 'D_12265', 'D_12266', 'D_12267', 'D_12268', 'D_12269', 'D_12270', 'D_12271', 'D_12272', 'D_12273', 'D_12274', 'D_12275', 'D_12276', 'D_12277', 'D_12278', 'D_12279', 'D_12280', 'D_12281', 'D_12282', 'D_12283', 'D_12284', 'D_12285', 'D_12286', 'D_12287', 'D_12288', 'D_12289', 'D_12290', 'D_12291', 'D_12292', 'D_12293', 'D_12294', 'D_12295', 'D_12296', 'D_12297', 'D_12298', 'D_12299', 'D_12300', 'D_12301', 'D_12302', 'D_12303', 'D_12304', 'D_12305', 'D_12306', 'D_12307', 'D_12308', 'D_12309', 'D_12310', 'D_12311', 'D_12312', 'D_12313', 'D_12314', 'D_12315', 'D_12316', 'D_12317', 'D_12318', 'D_12319', 'D_12320', 'D_12321', 'D_12322', 'D_12323', 'D_12324', 'D_12325', 'D_12326', 'D_12327', 'D_12328', 'D_12329', 'D_12330', 'D_12331', 'D_12332', 'D_12333', 'D_12334', 'D_12335', 'D_12336', 'D_12337', 'D_12338', 'D_12339', 'D_12340', 'D_12341', 'D_12342', 'D_12343', 'D_12344', 'D_12345', 'D_12346', 'D_12347', 'D_12348', 'D_12349', 'D_12350', 'D_12351', 'D_12352', 'D_12353', 'D_12354', 'D_12355', 'D_12356', 'D_12357', 'D_12358', 'D_12359', 'D_12360', 'D_12361', 'D_12362', 'D_12363', 'D_12364', 'D_12365', 'D_12366', 'D_12367', 'D_12368', 'D_12369', 'D_12370', 'D_12371', 'D_12372', 'D_12373', 'D_12374', 'D_12375', 'D_12376', 'D_12377', 'D_12378', 'D_12379', 'D_12380', 'D_12381', 'D_12382', 'D_12383', 'D_12384', 'D_12385', 'D_12386', 'D_12387', 'D_12388', 'D_12389', 'D_12390', 'D_12391', 'D_12392', 'D_12393', 'D_12394', 'D_12395', 'D_12396', 'D_12397', 'D_12398', 'D_12399', 'D_12400', 'D_12401', 'D_12402', 'D_12403', 'D_12404', 'D_12405', 'D_12406', 'D_12407', 'D_12408', 'D_12409', 'D_12410', 'D_12411', 'D_12412', 'D_12413', 'D_12414', 'D_12415', 'D_12416', 'D_12417', 'D_12418', 'D_12419', 'D_12420', 'D_12421', 'D_12422', 'D_12423', 'D_12424', 'D_12425', 'D_12426', 'D_12427', 'D_12428', 'D_12429', 'D_12430', 'D_12431', 'D_12432', 'D_12433', 'D_12434', 'D_12435', 'D_12436', 'D_12437', 'D_12438', 'D_12439', 'D_12440', 'D_12441', 'D_12442', 'D_12443', 'D_12444', 'D_12445', 'D_12446', 'D_12447', 'D_12448', 'D_12449', 'D_12450', 'D_12451', 'D_12452', 'D_12453', 'D_12454', 'D_12455', 'D_12456', 'D_12457', 'D_12458', 'D_12459', 'D_12460', 'D_12461', 'D_12462', 'D_12463', 'D_12464', 'D_12465', 'D_12466', 'D_12467', 'D_12468', 'D_12469', 'D_12470', 'D_12471', 'D_12472', 'D_12473', 'D_12474', 'D_12475', 'D_12476', 'D_12477', 'D_12478', 'D_12479', 'D_12480', 'D_12481', 'D_12482', 'D_12483', 'D_12484', 'D_12485', 'D_12486', 'D_12487', 'D_12488', 'D_12489', 'D_12490', 'D_12491', 'D_12492', 'D_12493', 'D_12494', 'D_12495', 'D_12496', 'D_12497', 'D_12498', 'D_12499', 'D_12500', 'D_12501', 'D_12502', 'D_12503', 'D_12504', 'D_12505', 'D_12506', 'D_12507', 'D_12508', 'D_12509', 'D_12510', 'D_12511', 'D_12512', 'D_12513', 'D_12514', 'D_12515', 'D_12516', 'D_12517', 'D_12518', 'D_12519', 'D_12520', 'D_12521', 'D_12522', 'D_12523', 'D_12524', 'D_12525', 'D_12526', 'D_12527', 'D_12528', 'D_12529', 'D_12530', 'D_12531', 'D_12532', 'D_12533', 'D_12534', 'D_12535', 'D_12536', 'D_12537', 'D_12538', 'D_12539', 'D_12540', 'D_12541', 'D_12542', 'D_12543', 'D_12544', 'D_12545', 'D_12546', 'D_12547', 'D_12548', 'D_12549', 'D_12550', 'D_12551', 'D_12552', 'D_12553', 'D_12554', 'D_12555', 'D_12556', 'D_12557', 'D_12558', 'D_12559', 'D_12560', 'D_12561', 'D_12562', 'D_12563', 'D_12564', 'D_12565', 'D_12566', 'D_12567', 'D_12568', 'D_12569', 'D_12570', 'D_12571', 'D_12572', 'D_12573', 'D_12574', 'D_12575', 'D_12576', 'D_12577', 'D_12578', 'D_12579', 'D_12580', 'D_12581', 'D_12582', 'D_12583', 'D_12584', 'D_12585', 'D_12586', 'D_12587', 'D_12588', 'D_12589', 'D_12590', 'D_12591', 'D_12592', 'D_12593', 'D_12594', 'D_12595', 'D_12596', 'D_12597', 'D_12598', 'D_12599', 'D_12600', 'D_12601', 'D_12602', 'D_12603', 'D_12604', 'D_12605', 'D_12606', 'D_12607', 'D_12608', 'D_12609', 'D_12610', 'D_12611', 'D_12612', 'D_12613', 'D_12614', 'D_12615', 'D_12616', 'D_12617', 'D_12618', 'D_12619', 'D_12620', 'D_12621', 'D_12622', 'D_12623', 'D_12624', 'D_12625', 'D_12626', 'D_12627', 'D_12628', 'D_12629', 'D_12630', 'D_12631', 'D_12632', 'D_12633', 'D_12634', 'D_12635', 'D_12636', 'D_12637', 'D_12638', 'D_12639', 'D_12640', 'D_12641', 'D_12642', 'D_12643', 'D_12644', 'D_12645', 'D_12646', 'D_12647', 'D_12648', 'D_12649', 'D_12650', 'D_12651', 'D_12652', 'D_12653', 'D_12654', 'D_12655', 'D_12656', 'D_12657', 'D_12658', 'D_12659', 'D_12660', 'D_12661', 'D_12662', 'D_12663', 'D_12664', 'D_12665', 'D_12666', 'D_12667', 'D_12668', 'D_12669', 'D_12670', 'D_12671', 'D_12672', 'D_12673', 'D_12674', 'D_12675', 'D_12676', 'D_12677', 'D_12678', 'D_12679', 'D_12680', 'D_12681', 'D_12682', 'D_12683', 'D_12684', 'D_12685', 'D_12686', 'D_12687', 'D_12688', 'D_12689', 'D_12690', 'D_12691', 'D_12692', 'D_12693', 'D_12694', 'D_12695', 'D_12696', 'D_12697', 'D_12698', 'D_12699', 'D_12700', 'D_12701', 'D_12702', 'D_12703', 'D_12704', 'D_12705', 'D_12706', 'D_12707', 'D_12708', 'D_12709', 'D_12710', 'D_12711', 'D_12712', 'D_12713', 'D_12714', 'D_12715', 'D_12716', 'D_12717', 'D_12718', 'D_12719', 'D_12720', 'D_12721', 'D_12722', 'D_12723', 'D_12724', 'D_12725', 'D_12726', 'D_12727', 'D_12728', 'D_12729', 'D_12730', 'D_12731', 'D_12732', 'D_12733', 'D_12734', 'D_12735', 'D_12736', 'D_12737', 'D_12738', 'D_12739', 'D_12740', 'D_12741', 'D_12742', 'D_12743', 'D_12744', 'D_12745', 'D_12746', 'D_12747', 'D_12748', 'D_12749', 'D_12750', 'D_12751', 'D_12752', 'D_12753', 'D_12754', 'D_12755', 'D_12756', 'D_12757', 'D_12758', 'D_12759', 'D_12760', 'D_12761', 'D_12762', 'D_12763', 'D_12764', 'D_12765', 'D_12766', 'D_12767', 'D_12768', 'D_12769', 'D_12770', 'D_12771', 'D_12772', 'D_12773', 'D_12774', 'D_12775', 'D_12776', 'D_12777', 'D_12778', 'D_12779', 'D_12780', 'D_12781', 'D_12782', 'D_12783', 'D_12784', 'D_12785', 'D_12786', 'D_12787', 'D_12788', 'D_12789', 'D_12790', 'D_12791', 'D_12792', 'D_12793', 'D_12794', 'D_12795', 'D_12796', 'D_12797', 'D_12798', 'D_12799', 'D_12800', 'D_12801', 'D_12802', 'D_12803', 'D_12804', 'D_12805', 'D_12806', 'D_12807', 'D_12808', 'D_12809', 'D_12810', 'D_12811', 'D_12812', 'D_12813', 'D_12814', 'D_12815', 'D_12816', 'D_12817', 'D_12818', 'D_12819', 'D_12820', 'D_12821', 'D_12822', 'D_12823', 'D_12824', 'D_12825', 'D_12826', 'D_12827', 'D_12828', 'D_12829', 'D_12830', 'D_12831', 'D_12832', 'D_12833', 'D_12834', 'D_12835', 'D_12836', 'D_12837', 'D_12838', 'D_12839', 'D_12840', 'D_12841', 'D_12842', 'D_12843', 'D_12844', 'D_12845', 'D_12846', 'D_12847', 'D_12848', 'D_12849', 'D_12850', 'D_12851', 'D_12852', 'D_12853', 'D_12854', 'D_12855', 'D_12856', 'D_12857', 'D_12858', 'D_12859', 'D_12860', 'D_12861', 'D_12862', 'D_12863', 'D_12864', 'D_12865', 'D_12866', 'D_12867', 'D_12868', 'D_12869', 'D_12870', 'D_12871', 'D_12872', 'D_12873', 'D_12874', 'D_12875', 'D_12876', 'D_12877', 'D_12878', 'D_12879', 'D_12880', 'D_12881', 'D_12882', 'D_12883', 'D_12884', 'D_12885', 'D_12886', 'D_12887', 'D_12888', 'D_12889', 'D_12890', 'D_12891', 'D_12892', 'D_12893', 'D_12894', 'D_12895', 'D_12896', 'D_12897', 'D_12898', 'D_12899', 'D_12900', 'D_12901', 'D_12902', 'D_12903', 'D_12904', 'D_12905', 'D_12906', 'D_12907', 'D_12908', 'D_12909', 'D_12910', 'D_12911', 'D_12912', 'D_12913', 'D_12914', 'D_12915', 'D_12916', 'D_12917', 'D_12918', 'D_12919', 'D_12920', 'D_12921', 'D_12922', 'D_12923', 'D_12924', 'D_12925', 'D_12926', 'D_12927', 'D_12928', 'D_12929', 'D_12930', 'D_12931', 'D_12932', 'D_12933', 'D_12934', 'D_12935', 'D_12936', 'D_12937', 'D_12938', 'D_12939', 'D_12940', 'D_12941', 'D_12942', 'D_12943', 'D_12944', 'D_12945', 'D_12946', 'D_12947', 'D_12948', 'D_12949', 'D_12950', 'D_12951', 'D_12952', 'D_12953', 'D_12954', 'D_12955', 'D_12956', 'D_12957', 'D_12958', 'D_12959', 'D_12960', 'D_12961', 'D_12962', 'D_12963', 'D_12964', 'D_12965', 'D_12966', 'D_12967', 'D_12968', 'D_12969', 'D_12970', 'D_12971', 'D_12972', 'D_12973', 'D_12974', 'D_12975', 'D_12976', 'D_12977', 'D_12978', 'D_12979', 'D_12980', 'D_12981', 'D_12982', 'D_12983', 'D_12984', 'D_12985', 'D_12986', 'D_12987', 'D_12988', 'D_12989', 'D_12990', 'D_12991', 'D_12992', 'D_12993', 'D_12994', 'D_12995', 'D_12996', 'D_12997', 'D_12998', 'D_12999', 'D_13000', 'D_13001', 'D_13002', 'D_13003', 'D_13004', 'D_13005', 'D_13006', 'D_13007', 'D_13008', 'D_13009', 'D_13010', 'D_13011', 'D_13012', 'D_13013', 'D_13014', 'D_13015', 'D_13016', 'D_13017', 'D_13018', 'D_13019', 'D_13020', 'D_13021', 'D_13022', 'D_13023', 'D_13024', 'D_13025', 'D_13026', 'D_13027', 'D_13028', 'D_13029', 'D_13030', 'D_13031', 'D_13032', 'D_13033', 'D_13034', 'D_13035', 'D_13036', 'D_13037', 'D_13038', 'D_13039', 'D_13040', 'D_13041', 'D_13042', 'D_13043', 'D_13044', 'D_13045', 'D_13046', 'D_13047', 'D_13048', 'D_13049', 'D_13050', 'D_13051', 'D_13052', 'D_13053', 'D_13054', 'D_13055', 'D_13056', 'D_13057', 'D_13058', 'D_13059', 'D_13060', 'D_13061', 'D_13062', 'D_13063', 'D_13064', 'D_13065', 'D_13066', 'D_13067', 'D_13068', 'D_13069', 'D_13070', 'D_13071', 'D_13072', 'D_13073', 'D_13074', 'D_13075', 'D_13076', 'D_13077', 'D_13078', 'D_13079', 'D_13080', 'D_13081', 'D_13082', 'D_13083', 'D_13084', 'D_13085', 'D_13086', 'D_13087', 'D_13088', 'D_13089', 'D_13090', 'D_13091', 'D_13092', 'D_13093', 'D_13094', 'D_13095', 'D_13096', 'D_13097', 'D_13098', 'D_13099', 'D_13100', 'D_13101', 'D_13102', 'D_13103', 'D_13104', 'D_13105', 'D_13106', 'D_13107', 'D_13108', 'D_13109', 'D_13110', 'D_13111', 'D_13112', 'D_13113', 'D_13114', 'D_13115', 'D_13116', 'D_13117', 'D_13118', 'D_13119', 'D_13120', 'D_13121', 'D_13122', 'D_13123', 'D_13124', 'D_13125', 'D_13126', 'D_13127', 'D_13128', 'D_13129', 'D_13130', 'D_13131', 'D_13132', 'D_13133', 'D_13134', 'D_13135', 'D_13136', 'D_13137', 'D_13138', 'D_13139', 'D_13140', 'D_13141', 'D_13142', 'D_13143', 'D_13144', 'D_13145', 'D_13146', 'D_13147', 'D_13148', 'D_13149', 'D_13150', 'D_13151', 'D_13152', 'D_13153', 'D_13154', 'D_13155', 'D_13156', 'D_13157', 'D_13158', 'D_13159', 'D_13160', 'D_13161', 'D_13162', 'D_13163', 'D_13164', 'D_13165', 'D_13166', 'D_13167', 'D_13168', 'D_13169', 'D_13170', 'D_13171', 'D_13172', 'D_13173', 'D_13174', 'D_13175', 'D_13176', 'D_13177', 'D_13178', 'D_13179', 'D_13180', 'D_13181', 'D_13182', 'D_13183', 'D_13184', 'D_13185', 'D_13186', 'D_13187', 'D_13188', 'D_13189', 'D_13190', 'D_13191', 'D_13192', 'D_13193', 'D_13194', 'D_13195', 'D_13196', 'D_13197', 'D_13198', 'D_13199', 'D_13200', 'D_13201', 'D_13202', 'D_13203', 'D_13204', 'D_13205', 'D_13206', 'D_13207', 'D_13208', 'D_13209', 'D_13210', 'D_13211', 'D_13212', 'D_13213', 'D_13214', 'D_13215', 'D_13216', 'D_13217', 'D_13218', 'D_13219', 'D_13220', 'D_13221', 'D_13222', 'D_13223', 'D_13224', 'D_13225', 'D_13226', 'D_13227', 'D_13228', 'D_13229', 'D_13230', 'D_13231', 'D_13232', 'D_13233', 'D_13234', 'D_13235', 'D_13236', 'D_13237', 'D_13238', 'D_13239', 'D_13240', 'D_13241', 'D_13242', 'D_13243', 'D_13244', 'D_13245', 'D_13246', 'D_13247', 'D_13248', 'D_13249', 'D_13250', 'D_13251', 'D_13252', 'D_13253', 'D_13254', 'D_13255', 'D_13256', 'D_13257', 'D_13258', 'D_13259', 'D_13260', 'D_13261', 'D_13262', 'D_13263', 'D_13264', 'D_13265', 'D_13266', 'D_13267', 'D_13268', 'D_13269', 'D_13270', 'D_13271', 'D_13272', 'D_13273', 'D_13274', 'D_13275', 'D_13276', 'D_13277', 'D_13278', 'D_13279', 'D_13280', 'D_13281', 'D_13282', 'D_13283', 'D_13284', 'D_13285', 'D_13286', 'D_13287', 'D_13288', 'D_13289', 'D_13290', 'D_13291', 'D_13292', 'D_13293', 'D_13294', 'D_13295', 'D_13296', 'D_13297', 'D_13298', 'D_13299', 'D_13300', 'D_13301', 'D_13302', 'D_13303', 'D_13304', 'D_13305', 'D_13306', 'D_13307', 'D_13308', 'D_13309', 'D_13310', 'D_13311', 'D_13312', 'D_13313', 'D_13314', 'D_13315', 'D_13316', 'D_13317', 'D_13318', 'D_13319', 'D_13320', 'D_13321', 'D_13322', 'D_13323', 'D_13324', 'D_13325', 'D_13326', 'D_13327', 'D_13328', 'D_13329', 'D_13330', 'D_13331', 'D_13332', 'D_13333', 'D_13334', 'D_13335', 'D_13336', 'D_13337', 'D_13338', 'D_13339', 'D_13340', 'D_13341', 'D_13342', 'D_13343', 'D_13344', 'D_13345', 'D_13346', 'D_13347', 'D_13348', 'D_13349', 'D_13350', 'D_13351', 'D_13352', 'D_13353', 'D_13354', 'D_13355', 'D_13356', 'D_13357', 'D_13358', 'D_13359', 'D_13360', 'D_13361', 'D_13362', 'D_13363', 'D_13364', 'D_13365', 'D_13366', 'D_13367', 'D_13368', 'D_13369', 'D_13370', 'D_13371', 'D_13372', 'D_13373', 'D_13374', 'D_13375', 'D_13376', 'D_13377', 'D_13378', 'D_13379', 'D_13380', 'D_13381', 'D_13382', 'D_13383', 'D_13384', 'D_13385', 'D_13386', 'D_13387', 'D_13388', 'D_13389', 'D_13390', 'D_13391', 'D_13392', 'D_13393', 'D_13394', 'D_13395', 'D_13396', 'D_13397', 'D_13398', 'D_13399', 'D_13400', 'D_13401', 'D_13402', 'D_13403', 'D_13404', 'D_13405', 'D_13406', 'D_13407', 'D_13408', 'D_13409', 'D_13410', 'D_13411', 'D_13412', 'D_13413', 'D_13414', 'D_13415', 'D_13416', 'D_13417', 'D_13418', 'D_13419', 'D_13420', 'D_13421', 'D_13422', 'D_13423', 'D_13424', 'D_13425', 'D_13426', 'D_13427', 'D_13428', 'D_13429', 'D_13430', 'D_13431', 'D_13432', 'D_13433', 'D_13434', 'D_13435', 'D_13436', 'D_13437', 'D_13438', 'D_13439', 'D_13440', 'D_13441', 'D_13442', 'D_13443', 'D_13444', 'D_13445', 'D_13446', 'D_13447', 'D_13448', 'D_13449', 'D_13450', 'D_13451', 'D_13452', 'D_13453', 'D_13454', 'D_13455', 'D_13456', 'D_13457', 'D_13458', 'D_13459', 'D_13460', 'D_13461', 'D_13462', 'D_13463', 'D_13464', 'D_13465', 'D_13466', 'D_13467', 'D_13468', 'D_13469', 'D_13470', 'D_13471', 'D_13472', 'D_13473', 'D_13474', 'D_13475', 'D_13476', 'D_13477', 'D_13478', 'D_13479', 'D_13480', 'D_13481', 'D_13482', 'D_13483', 'D_13484', 'D_13485', 'D_13486', 'D_13487', 'D_13488', 'D_13489', 'D_13490', 'D_13491', 'D_13492', 'D_13493', 'D_13494', 'D_13495', 'D_13496', 'D_13497', 'D_13498', 'D_13499', 'D_13500', 'D_13501', 'D_13502', 'D_13503', 'D_13504', 'D_13505', 'D_13506', 'D_13507', 'D_13508', 'D_13509', 'D_13510', 'D_13511', 'D_13512', 'D_13513', 'D_13514', 'D_13515', 'D_13516', 'D_13517', 'D_13518', 'D_13519', 'D_13520', 'D_13521', 'D_13522', 'D_13523', 'D_13524', 'D_13525', 'D_13526', 'D_13527', 'D_13528', 'D_13529', 'D_13530', 'D_13531', 'D_13532', 'D_13533', 'D_13534', 'D_13535', 'D_13536', 'D_13537', 'D_13538', 'D_13539', 'D_13540', 'D_13541', 'D_13542', 'D_13543', 'D_13544', 'D_13545', 'D_13546', 'D_13547', 'D_13548', 'D_13549', 'D_13550', 'D_13551', 'D_13552', 'D_13553', 'D_13554', 'D_13555', 'D_13556', 'D_13557', 'D_13558', 'D_13559', 'D_13560', 'D_13561', 'D_13562', 'D_13563', 'D_13564', 'D_13565', 'D_13566', 'D_13567', 'D_13568', 'D_13569', 'D_13570', 'D_13571', 'D_13572', 'D_13573', 'D_13574', 'D_13575', 'D_13576', 'D_13577', 'D_13578', 'D_13579', 'D_13580', 'D_13581', 'D_13582', 'D_13583', 'D_13584', 'D_13585', 'D_13586', 'D_13587', 'D_13588', 'D_13589', 'D_13590', 'D_13591', 'D_13592', 'D_13593', 'D_13594', 'D_13595', 'D_13596', 'D_13597', 'D_13598', 'D_13599', 'D_13600', 'D_13601', 'D_13602', 'D_13603', 'D_13604', 'D_13605', 'D_13606', 'D_13607', 'D_13608', 'D_13609', 'D_13610', 'D_13611', 'D_13612', 'D_13613', 'D_13614', 'D_13615', 'D_13616', 'D_13617', 'D_13618', 'D_13619', 'D_13620', 'D_13621', 'D_13622', 'D_13623', 'D_13624', 'D_13625', 'D_13626', 'D_13627', 'D_13628', 'D_13629', 'D_13630', 'D_13631', 'D_13632', 'D_13633', 'D_13634', 'D_13635', 'D_13636', 'D_13637', 'D_13638', 'D_13639', 'D_13640', 'D_13641', 'D_13642', 'D_13643', 'D_13644', 'D_13645', 'D_13646', 'D_13647', 'D_13648', 'D_13649', 'D_13650', 'D_13651', 'D_13652', 'D_13653', 'D_13654', 'D_13655', 'D_13656', 'D_13657', 'D_13658', 'D_13659', 'D_13660', 'D_13661', 'D_13662', 'D_13663', 'D_13664', 'D_13665', 'D_13666', 'D_13667', 'D_13668', 'D_13669', 'D_13670', 'D_13671', 'D_13672', 'D_13673', 'D_13674', 'D_13675', 'D_13676', 'D_13677', 'D_13678', 'D_13679', 'D_13680', 'D_13681', 'D_13682', 'D_13683', 'D_13684', 'D_13685', 'D_13686', 'D_13687', 'D_13688', 'D_13689', 'D_13690', 'D_13691', 'D_13692', 'D_13693', 'D_13694', 'D_13695', 'D_13696', 'D_13697', 'D_13698', 'D_13699', 'D_13700', 'D_13701', 'D_13702', 'D_13703', 'D_13704', 'D_13705', 'D_13706', 'D_13707', 'D_13708', 'D_13709', 'D_13710', 'D_13711', 'D_13712', 'D_13713', 'D_13714', 'D_13715', 'D_13716', 'D_13717', 'D_13718', 'D_13719', 'D_13720', 'D_13721', 'D_13722', 'D_13723', 'D_13724', 'D_13725', 'D_13726', 'D_13727', 'D_13728', 'D_13729', 'D_13730', 'D_13731', 'D_13732', 'D_13733', 'D_13734', 'D_13735', 'D_13736', 'D_13737', 'D_13738', 'D_13739', 'D_13740', 'D_13741', 'D_13742', 'D_13743', 'D_13744', 'D_13745', 'D_13746', 'D_13747', 'D_13748', 'D_13749', 'D_13750', 'D_13751', 'D_13752', 'D_13753', 'D_13754', 'D_13755', 'D_13756', 'D_13757', 'D_13758', 'D_13759', 'D_13760', 'D_13761', 'D_13762', 'D_13763', 'D_13764', 'D_13765', 'D_13766', 'D_13767', 'D_13768', 'D_13769', 'D_13770', 'D_13771', 'D_13772', 'D_13773', 'D_13774', 'D_13775', 'D_13776', 'D_13777', 'D_13778', 'D_13779', 'D_13780', 'D_13781', 'D_13782', 'D_13783', 'D_13784', 'D_13785', 'D_13786', 'D_13787', 'D_13788', 'D_13789', 'D_13790', 'D_13791', 'D_13792', 'D_13793', 'D_13794', 'D_13795', 'D_13796', 'D_13797', 'D_13798', 'D_13799', 'D_13800', 'D_13801', 'D_13802', 'D_13803', 'D_13804', 'D_13805', 'D_13806', 'D_13807', 'D_13808', 'D_13809', 'D_13810', 'D_13811', 'D_13812', 'D_13813', 'D_13814', 'D_13815', 'D_13816', 'D_13817', 'D_13818', 'D_13819', 'D_13820', 'D_13821', 'D_13822', 'D_13823', 'D_13824', 'D_13825', 'D_13826', 'D_13827', 'D_13828', 'D_13829', 'D_13830', 'D_13831', 'D_13832', 'D_13833', 'D_13834', 'D_13835', 'D_13836', 'D_13837', 'D_13838', 'D_13839', 'D_13840', 'D_13841', 'D_13842', 'D_13843', 'D_13844', 'D_13845', 'D_13846', 'D_13847', 'D_13848', 'D_13849', 'D_13850', 'D_13851', 'D_13852', 'D_13853', 'D_13854', 'D_13855', 'D_13856', 'D_13857', 'D_13858', 'D_13859', 'D_13860', 'D_13861', 'D_13862', 'D_13863', 'D_13864', 'D_13865', 'D_13866', 'D_13867', 'D_13868', 'D_13869', 'D_13870', 'D_13871', 'D_13872', 'D_13873', 'D_13874', 'D_13875', 'D_13876', 'D_13877', 'D_13878', 'D_13879', 'D_13880', 'D_13881', 'D_13882', 'D_13883', 'D_13884', 'D_13885', 'D_13886', 'D_13887', 'D_13888', 'D_13889', 'D_13890', 'D_13891', 'D_13892', 'D_13893', 'D_13894', 'D_13895', 'D_13896', 'D_13897', 'D_13898', 'D_13899', 'D_13900', 'D_13901', 'D_13902', 'D_13903', 'D_13904', 'D_13905', 'D_13906', 'D_13907', 'D_13908', 'D_13909', 'D_13910', 'D_13911', 'D_13912', 'D_13913', 'D_13914', 'D_13915', 'D_13916', 'D_13917', 'D_13918', 'D_13919', 'D_13920', 'D_13921', 'D_13922', 'D_13923', 'D_13924', 'D_13925', 'D_13926', 'D_13927', 'D_13928', 'D_13929', 'D_13930', 'D_13931', 'D_13932', 'D_13933', 'D_13934', 'D_13935', 'D_13936', 'D_13937', 'D_13938', 'D_13939', 'D_13940', 'D_13941', 'D_13942', 'D_13943', 'D_13944', 'D_13945', 'D_13946', 'D_13947', 'D_13948', 'D_13949', 'D_13950', 'D_13951', 'D_13952', 'D_13953', 'D_13954', 'D_13955', 'D_13956', 'D_13957', 'D_13958', 'D_13959', 'D_13960', 'D_13961', 'D_13962', 'D_13963', 'D_13964', 'D_13965', 'D_13966', 'D_13967', 'D_13968', 'D_13969', 'D_13970', 'D_13971', 'D_13972', 'D_13973', 'D_13974', 'D_13975', 'D_13976', 'D_13977', 'D_13978', 'D_13979', 'D_13980', 'D_13981', 'D_13982', 'D_13983', 'D_13984', 'D_13985', 'D_13986', 'D_13987', 'D_13988', 'D_13989', 'D_13990', 'D_13991', 'D_13992', 'D_13993', 'D_13994', 'D_13995', 'D_13996', 'D_13997', 'D_13998', 'D_13999', 'D_14000', 'D_14001', 'D_14002', 'D_14003', 'D_14004', 'D_14005', 'D_14006', 'D_14007', 'D_14008', 'D_14009', 'D_14010', 'D_14011', 'D_14012', 'D_14013', 'D_14014', 'D_14015', 'D_14016', 'D_14017', 'D_14018', 'D_14019', 'D_14020', 'D_14021', 'D_14022', 'D_14023', 'D_14024', 'D_14025', 'D_14026', 'D_14027', 'D_14028', 'D_14029', 'D_14030', 'D_14031', 'D_14032', 'D_14033', 'D_14034', 'D_14035', 'D_14036', 'D_14037', 'D_14038', 'D_14039', 'D_14040', 'D_14041', 'D_14042', 'D_14043', 'D_14044', 'D_14045', 'D_14046', 'D_14047', 'D_14048', 'D_14049', 'D_14050', 'D_14051', 'D_14052', 'D_14053', 'D_14054', 'D_14055', 'D_14056', 'D_14057', 'D_14058', 'D_14059', 'D_14060', 'D_14061', 'D_14062', 'D_14063', 'D_14064', 'D_14065', 'D_14066', 'D_14067', 'D_14068', 'D_14069', 'D_14070', 'D_14071', 'D_14072', 'D_14073', 'D_14074', 'D_14075', 'D_14076', 'D_14077', 'D_14078', 'D_14079', 'D_14080', 'D_14081', 'D_14082', 'D_14083', 'D_14084', 'D_14085', 'D_14086', 'D_14087', 'D_14088', 'D_14089', 'D_14090', 'D_14091', 'D_14092', 'D_14093', 'D_14094', 'D_14095', 'D_14096', 'D_14097', 'D_14098', 'D_14099', 'D_14100', 'D_14101', 'D_14102', 'D_14103', 'D_14104', 'D_14105', 'D_14106', 'D_14107', 'D_14108', 'D_14109', 'D_14110', 'D_14111', 'D_14112', 'D_14113', 'D_14114', 'D_14115', 'D_14116', 'D_14117', 'D_14118', 'D_14119', 'D_14120', 'D_14121', 'D_14122', 'D_14123', 'D_14124', 'D_14125', 'D_14126', 'D_14127', 'D_14128', 'D_14129', 'D_14130', 'D_14131', 'D_14132', 'D_14133', 'D_14134', 'D_14135', 'D_14136', 'D_14137', 'D_14138', 'D_14139', 'D_14140', 'D_14141', 'D_14142', 'D_14143', 'D_14144', 'D_14145', 'D_14146', 'D_14147', 'D_14148', 'D_14149', 'D_14150', 'D_14151', 'D_14152', 'D_14153', 'D_14154', 'D_14155', 'D_14156', 'D_14157', 'D_14158', 'D_14159', 'D_14160', 'D_14161', 'D_14162', 'D_14163', 'D_14164', 'D_14165', 'D_14166', 'D_14167', 'D_14168', 'D_14169', 'D_14170', 'D_14171', 'D_14172', 'D_14173', 'D_14174', 'D_14175', 'D_14176', 'D_14177', 'D_14178', 'D_14179', 'D_14180', 'D_14181', 'D_14182', 'D_14183', 'D_14184', 'D_14185', 'D_14186', 'D_14187', 'D_14188', 'D_14189', 'D_14190', 'D_14191', 'D_14192', 'D_14193', 'D_14194', 'D_14195', 'D_14196', 'D_14197', 'D_14198', 'D_14199', 'D_14200', 'D_14201', 'D_14202', 'D_14203', 'D_14204', 'D_14205', 'D_14206', 'D_14207', 'D_14208', 'D_14209', 'D_14210', 'D_14211', 'D_14212', 'D_14213', 'D_14214', 'D_14215', 'D_14216', 'D_14217', 'D_14218', 'D_14219', 'D_14220', 'D_14221', 'D_14222', 'D_14223', 'D_14224', 'D_14225', 'D_14226', 'D_14227', 'D_14228', 'D_14229', 'D_14230', 'D_14231', 'D_14232', 'D_14233', 'D_14234', 'D_14235', 'D_14236', 'D_14237', 'D_14238', 'D_14239', 'D_14240', 'D_14241', 'D_14242', 'D_14243', 'D_14244', 'D_14245', 'D_14246', 'D_14247', 'D_14248', 'D_14249', 'D_14250', 'D_14251', 'D_14252', 'D_14253', 'D_14254', 'D_14255', 'D_14256', 'D_14257', 'D_14258', 'D_14259', 'D_14260', 'D_14261', 'D_14262', 'D_14263', 'D_14264', 'D_14265', 'D_14266', 'D_14267', 'D_14268', 'D_14269', 'D_14270', 'D_14271', 'D_14272', 'D_14273', 'D_14274', 'D_14275', 'D_14276', 'D_14277', 'D_14278', 'D_14279', 'D_14280', 'D_14281', 'D_14282', 'D_14283', 'D_14284', 'D_14285', 'D_14286', 'D_14287', 'D_14288', 'D_14289', 'D_14290', 'D_14291', 'D_14292', 'D_14293']

78,620.5

157,240

0.63638

28,588

157,241

3.000245

0.50007

0

0.499944

0.090911

157,241

1

157,241

0.10008

0

0.636291

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

6

d4a1dd57198282ea255adf7c75b70cd8d06ed212

175

py

Python

codetoname/__init__.py

zironycho/source-code-to-name

f9168d6b7a0e9169e3c20a7a2c5819d815e59e59

[ "Apache-2.0" ]

7

2016-06-10T01:25:24.000Z

2017-05-30T16:28:29.000Z

codetoname/__init__.py

zironycho/source-code-to-name

f9168d6b7a0e9169e3c20a7a2c5819d815e59e59

[ "Apache-2.0" ]

18

2016-06-20T01:26:31.000Z

2016-07-28T14:31:30.000Z

codetoname/__init__.py

zironycho/source-code-to-name

f9168d6b7a0e9169e3c20a7a2c5819d815e59e59

[ "Apache-2.0" ]

2

2016-07-15T14:21:08.000Z

2016-07-19T03:54:58.000Z

# -*- coding: utf-8 -*- from . import crawler from . import features, report from .crawler import Crawler from .api import getname from .log import get_logger, except_hooking

25

43

0.754286

25

175

5.2

0.6

0.153846

0.261538

0

0.006757

0.154286

175

6

44

29.166667

0.871622

0.12

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

d4d51a6aa47eaf89fa939e4d08c22583643fdc26

38

py

Python

drf_cachecontrol/__init__.py

benwilber/drf-cachecontrol

fb2b1a60433390b06a3c3b5aded435e01acf785d

[ "Apache-2.0" ]

null

drf_cachecontrol/__init__.py

benwilber/drf-cachecontrol

fb2b1a60433390b06a3c3b5aded435e01acf785d

[ "Apache-2.0" ]

null

drf_cachecontrol/__init__.py

benwilber/drf-cachecontrol

fb2b1a60433390b06a3c3b5aded435e01acf785d

[ "Apache-2.0" ]

null

from .mixings import CacheControlMixin

38

0.894737

4

38

8.5

1

0

0.078947

38

1

38

0.971429

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

be19376f3441fb7ed9d2ab587671fe7d7e991744

75

py

Python

src/python/zquantum/core/openfermion/__init__.py

kottmanj/z-quantum-core

21752e92e79aafedbfeb6e7ae196bdc2fd5803e4

[ "Apache-2.0" ]

null

src/python/zquantum/core/openfermion/__init__.py

kottmanj/z-quantum-core

21752e92e79aafedbfeb6e7ae196bdc2fd5803e4

[ "Apache-2.0" ]

null

src/python/zquantum/core/openfermion/__init__.py

kottmanj/z-quantum-core

21752e92e79aafedbfeb6e7ae196bdc2fd5803e4

[ "Apache-2.0" ]

null

from ._io import * from ._utils import * from ._pyquil_conversions import *

25

34

0.773333

10

75

5.4

0.6

0.37037

0

0.146667

75

3

34

25

0.84375

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

079550eb63ac6b4cff99fb8570338b82dccb44b1

37

py

Python

movie_rec_sys/__init__.py

renyuxiang/movie_rec_sys

02b6cf495948643c0e9b7dd25831b7c7d36403ba

[ "Apache-2.0" ]

null

movie_rec_sys/__init__.py

renyuxiang/movie_rec_sys

02b6cf495948643c0e9b7dd25831b7c7d36403ba

[ "Apache-2.0" ]

null

movie_rec_sys/__init__.py

renyuxiang/movie_rec_sys

02b6cf495948643c0e9b7dd25831b7c7d36403ba

[ "Apache-2.0" ]

null

# jupyter notebook --ip=192.168.3.28

37

0.702703

7

37

3.714286

1

0

0.272727

0.108108

37

1

37

0.515152

0.945946

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

6