hexsha
string
size
int64
ext
string
lang
string
max_stars_repo_path
string
max_stars_repo_name
string
max_stars_repo_head_hexsha
string
max_stars_repo_licenses
list
max_stars_count
int64
max_stars_repo_stars_event_min_datetime
string
max_stars_repo_stars_event_max_datetime
string
max_issues_repo_path
string
max_issues_repo_name
string
max_issues_repo_head_hexsha
string
max_issues_repo_licenses
list
max_issues_count
int64
max_issues_repo_issues_event_min_datetime
string
max_issues_repo_issues_event_max_datetime
string
max_forks_repo_path
string
max_forks_repo_name
string
max_forks_repo_head_hexsha
string
max_forks_repo_licenses
list
max_forks_count
int64
max_forks_repo_forks_event_min_datetime
string
max_forks_repo_forks_event_max_datetime
string
content
string
avg_line_length
float64
max_line_length
int64
alphanum_fraction
float64
qsc_code_num_words_quality_signal
int64
qsc_code_num_chars_quality_signal
float64
qsc_code_mean_word_length_quality_signal
float64
qsc_code_frac_words_unique_quality_signal
float64
qsc_code_frac_chars_top_2grams_quality_signal
float64
qsc_code_frac_chars_top_3grams_quality_signal
float64
qsc_code_frac_chars_top_4grams_quality_signal
float64
qsc_code_frac_chars_dupe_5grams_quality_signal
float64
qsc_code_frac_chars_dupe_6grams_quality_signal
float64
qsc_code_frac_chars_dupe_7grams_quality_signal
float64
qsc_code_frac_chars_dupe_8grams_quality_signal
float64
qsc_code_frac_chars_dupe_9grams_quality_signal
float64
qsc_code_frac_chars_dupe_10grams_quality_signal
float64
qsc_code_frac_chars_replacement_symbols_quality_signal
float64
qsc_code_frac_chars_digital_quality_signal
float64
qsc_code_frac_chars_whitespace_quality_signal
float64
qsc_code_size_file_byte_quality_signal
float64
qsc_code_num_lines_quality_signal
float64
qsc_code_num_chars_line_max_quality_signal
float64
qsc_code_num_chars_line_mean_quality_signal
float64
qsc_code_frac_chars_alphabet_quality_signal
float64
qsc_code_frac_chars_comments_quality_signal
float64
qsc_code_cate_xml_start_quality_signal
float64
qsc_code_frac_lines_dupe_lines_quality_signal
float64
qsc_code_cate_autogen_quality_signal
float64
qsc_code_frac_lines_long_string_quality_signal
float64
qsc_code_frac_chars_string_length_quality_signal
float64
qsc_code_frac_chars_long_word_length_quality_signal
float64
qsc_code_frac_lines_string_concat_quality_signal
float64
qsc_code_cate_encoded_data_quality_signal
float64
qsc_code_frac_chars_hex_words_quality_signal
float64
qsc_code_frac_lines_prompt_comments_quality_signal
float64
qsc_code_frac_lines_assert_quality_signal
float64
qsc_codepython_cate_ast_quality_signal
float64
qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
float64
qsc_codepython_frac_lines_import_quality_signal
float64
qsc_codepython_frac_lines_simplefunc_quality_signal
float64
qsc_codepython_score_lines_no_logic_quality_signal
float64
qsc_codepython_frac_lines_print_quality_signal
float64
qsc_code_num_words
int64
qsc_code_num_chars
int64
qsc_code_mean_word_length
int64
qsc_code_frac_words_unique
null
qsc_code_frac_chars_top_2grams
int64
qsc_code_frac_chars_top_3grams
int64
qsc_code_frac_chars_top_4grams
int64
qsc_code_frac_chars_dupe_5grams
int64
qsc_code_frac_chars_dupe_6grams
int64
qsc_code_frac_chars_dupe_7grams
int64
qsc_code_frac_chars_dupe_8grams
int64
qsc_code_frac_chars_dupe_9grams
int64
qsc_code_frac_chars_dupe_10grams
int64
qsc_code_frac_chars_replacement_symbols
int64
qsc_code_frac_chars_digital
int64
qsc_code_frac_chars_whitespace
int64
qsc_code_size_file_byte
int64
qsc_code_num_lines
int64
qsc_code_num_chars_line_max
int64
qsc_code_num_chars_line_mean
int64
qsc_code_frac_chars_alphabet
int64
qsc_code_frac_chars_comments
int64
qsc_code_cate_xml_start
int64
qsc_code_frac_lines_dupe_lines
int64
qsc_code_cate_autogen
int64
qsc_code_frac_lines_long_string
int64
qsc_code_frac_chars_string_length
int64
qsc_code_frac_chars_long_word_length
int64
qsc_code_frac_lines_string_concat
null
qsc_code_cate_encoded_data
int64
qsc_code_frac_chars_hex_words
int64
qsc_code_frac_lines_prompt_comments
int64
qsc_code_frac_lines_assert
int64
qsc_codepython_cate_ast
int64
qsc_codepython_frac_lines_func_ratio
int64
qsc_codepython_cate_var_zero
int64
qsc_codepython_frac_lines_pass
int64
qsc_codepython_frac_lines_import
int64
qsc_codepython_frac_lines_simplefunc
int64
qsc_codepython_score_lines_no_logic
int64
qsc_codepython_frac_lines_print
int64
effective
string
hits
int64
3374634092151a162ca5f82b9c757fbceca8074e
966
py
Python
qq/util.py
oeg-upm/tada-qq
ad8441093e21f4d598893cc2a263b128a7782e29
[ "Apache-2.0" ]
2
2022-01-26T08:48:34.000Z
2022-01-26T08:48:37.000Z
qq/util.py
oeg-upm/tada-qq
ad8441093e21f4d598893cc2a263b128a7782e29
[ "Apache-2.0" ]
null
null
null
qq/util.py
oeg-upm/tada-qq
ad8441093e21f4d598893cc2a263b128a7782e29
[ "Apache-2.0" ]
null
null
null
def errors_mean(y_pred, y_real): """ :param y_pred: list of predicted :param y_real: list of real :return: """ if len(y_pred) != len(y_real): print("Error, unmatched number of ys") return None tot_err = 0.0 for i in range(len(y_pred)): tot_err += abs(y_pred[i]-y_...
26.833333
46
0.60352
161
966
3.354037
0.192547
0.155556
0.088889
0.037037
0.955556
0.955556
0.911111
0.911111
0.911111
0.911111
0
0.006974
0.257764
966
35
47
27.6
0.746165
0.302277
0
0.777778
0
0
0.093098
0
0
0
0
0
0
1
0.111111
false
0
0
0
0.333333
0.111111
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
688b92d43b85b20d610155bffb1e7ed6ee5fb722
140
py
Python
python/testData/inspections/AddCallSuperRepeatedOptionalParamsPassedToSuperConstructor_after.py
jnthn/intellij-community
8fa7c8a3ace62400c838e0d5926a7be106aa8557
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/inspections/AddCallSuperRepeatedOptionalParamsPassedToSuperConstructor_after.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/inspections/AddCallSuperRepeatedOptionalParamsPassedToSuperConstructor_after.py
Cyril-lamirand/intellij-community
60ab6c61b82fc761dd68363eca7d9d69663cfa39
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
class A: def __init__(self, a, b=2, c=3): self.a = a class B(A): def __init__(self, a, c): A.__init__(self, a, c)
15.555556
36
0.507143
26
140
2.269231
0.346154
0.338983
0.457627
0.40678
0.440678
0
0
0
0
0
0
0.021053
0.321429
140
8
37
17.5
0.6
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0
0.666667
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
7
cc314f24ca7786bde21cb45c84f3c4cd940469a6
935
py
Python
torchsparse/nn/functional/pooling.py
f-sky/torchsparse
65466a10c6fa54bff17c6429706b7019a2a59409
[ "MIT" ]
1
2021-03-16T02:47:56.000Z
2021-03-16T02:47:56.000Z
torchsparse/nn/functional/pooling.py
f-sky/torchsparse
65466a10c6fa54bff17c6429706b7019a2a59409
[ "MIT" ]
null
null
null
torchsparse/nn/functional/pooling.py
f-sky/torchsparse
65466a10c6fa54bff17c6429706b7019a2a59409
[ "MIT" ]
null
null
null
import torch __all__ = ['global_avg_pool', 'global_max_pool'] def global_avg_pool(inputs): batch_index = inputs.C[:, -1] max_index = torch.max(batch_index).item() outputs = [] for i in range(max_index + 1): cur_inputs = torch.index_select(inputs.F, 0, t...
31.166667
73
0.60107
126
935
4.206349
0.230159
0.113208
0.049057
0.075472
0.864151
0.864151
0.864151
0.864151
0.864151
0.864151
0
0.022124
0.274866
935
29
74
32.241379
0.759587
0
0
0.75
0
0
0.032086
0
0
0
0
0
0
1
0.083333
false
0
0.041667
0
0.208333
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
04539ca74be12ef99bae96a07df51be6d2ca1d74
84
py
Python
app/datasets/__init__.py
ahmedassal/GAN_SASS_TF
5fda7e8ecf5c8ccc15eef47151bd2891d91737b4
[ "MIT" ]
3
2021-03-21T06:59:44.000Z
2022-03-13T12:26:04.000Z
app/datasets/__init__.py
ahmedassal/GAN_SASS_TF
5fda7e8ecf5c8ccc15eef47151bd2891d91737b4
[ "MIT" ]
null
null
null
app/datasets/__init__.py
ahmedassal/GAN_SASS_TF
5fda7e8ecf5c8ccc15eef47151bd2891d91737b4
[ "MIT" ]
null
null
null
import app.hparams as hparams import app.datasets.dataset import app.datasets.timit
21
29
0.845238
13
84
5.461538
0.538462
0.380282
0.478873
0
0
0
0
0
0
0
0
0
0.095238
84
3
30
28
0.934211
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
f09d671aca8f25520f94a1429ea94c00340d4dba
31
py
Python
mlx90614/__init__.py
sbbean/mlx90614
c700518023c62af66e0abe4a2ee0bfda94ef45d9
[ "MIT" ]
9
2020-10-10T03:39:29.000Z
2021-12-09T08:54:56.000Z
mlx90614/__init__.py
sbbean/mlx90614
c700518023c62af66e0abe4a2ee0bfda94ef45d9
[ "MIT" ]
3
2020-10-07T09:37:17.000Z
2022-02-06T02:36:36.000Z
mlx90614/__init__.py
sbbean/mlx90614
c700518023c62af66e0abe4a2ee0bfda94ef45d9
[ "MIT" ]
4
2020-09-08T17:02:14.000Z
2021-04-27T09:59:37.000Z
from .mlx90614 import MLX90614
15.5
30
0.83871
4
31
6.5
0.75
0
0
0
0
0
0
0
0
0
0
0.37037
0.129032
31
1
31
31
0.592593
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
f0a83f96a5084d479b7f8d583ddc2e985b047671
14,460
py
Python
tests/test_sorting.py
No9005/tcheasy
35dbf27ef00b4a6e17cd085eeda0868c83d354ef
[ "MIT" ]
null
null
null
tests/test_sorting.py
No9005/tcheasy
35dbf27ef00b4a6e17cd085eeda0868c83d354ef
[ "MIT" ]
null
null
null
tests/test_sorting.py
No9005/tcheasy
35dbf27ef00b4a6e17cd085eeda0868c83d354ef
[ "MIT" ]
null
null
null
""" Unittests for the parameter sorting function """ # imports import unittest from tcheasy.sort_parameters import sort_parameters # create test class class TestSortParameters(unittest.TestCase): """ methods: -------- setUp Setup method tearDown Teardown method test_only...
25.235602
123
0.474827
1,430
14,460
4.766434
0.085315
0.055018
0.035211
0.052817
0.852993
0.839349
0.787265
0.775088
0.752934
0.75
0
0.027891
0.372683
14,460
572
124
25.27972
0.723515
0.173167
0
0.752174
0
0
0.118091
0
0
0
0
0
0.117391
1
0.117391
false
0
0.008696
0.004348
0.243478
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
f0b62e7952fd955cca10bc9a7ef72fa22f33f246
97
py
Python
purchasing/opportunities/__init__.py
hamhands/pittsburgh-purchasing-suite
a79aa77c00c95da8f0b3e2f5f7f7143d5857de35
[ "BSD-3-Clause" ]
22
2015-05-08T15:30:42.000Z
2021-04-24T20:26:32.000Z
purchasing/opportunities/__init__.py
hamhands/pittsburgh-purchasing-suite
a79aa77c00c95da8f0b3e2f5f7f7143d5857de35
[ "BSD-3-Clause" ]
516
2015-04-23T18:14:40.000Z
2017-11-08T19:27:41.000Z
purchasing/opportunities/__init__.py
CityofPittsburgh/pittsburgh-purchasing-suite
d676ed9c137e5aaa100992a798acd60ac464a2c1
[ "BSD-3-Clause" ]
10
2015-07-08T19:00:10.000Z
2021-03-15T18:56:54.000Z
# -*- coding: utf-8 -*- from .admin import blueprint as abp from .front import blueprint as fbp
19.4
35
0.701031
15
97
4.533333
0.733333
0.441176
0.5
0
0
0
0
0
0
0
0
0.012658
0.185567
97
4
36
24.25
0.848101
0.216495
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
1
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
1
0
8
f0e89aa011733e051b2538631b551027de312528
11,202
py
Python
tests/test_mp7.py
iscc/iscc-sdk
329bf7611979cbb064d95902f5b29fb9b8dfc15b
[ "Apache-2.0" ]
1
2022-03-21T19:34:10.000Z
2022-03-21T19:34:10.000Z
tests/test_mp7.py
iscc/iscc-sdk
329bf7611979cbb064d95902f5b29fb9b8dfc15b
[ "Apache-2.0" ]
23
2022-01-24T16:05:33.000Z
2022-03-29T10:48:04.000Z
tests/test_mp7.py
iscc/iscc-sdk
329bf7611979cbb064d95902f5b29fb9b8dfc15b
[ "Apache-2.0" ]
null
null
null
from fractions import Fraction from bitarray import bitarray from iscc_sdk import mp7 import iscc_sdk as idk def test_calc_byte_to_bit3(): assert mp7.calc_byte_to_bit3().tolist() == [ [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], ...
16.895928
48
0.187199
1,749
11,202
1.186964
0.026301
0.202312
0.118497
0.061657
0.799615
0.799615
0.794798
0.738439
0.543353
0.128131
0
0.392297
0.612926
11,202
662
49
16.92145
0.086485
0
0
0.619847
0
0
0.001428
0
0
0
0
0
0.00916
1
0.00458
false
0
0.006107
0
0.010687
0
0
0
1
null
1
0
0
0
1
1
1
0
0
0
1
1
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
0b198aee591de64501f627df00dca996caa4cf2e
175
py
Python
alfworld/agents/eval/__init__.py
roy860328/VSGM
3ec19f9cf1401cecf45527687936b8fe4167f672
[ "MIT" ]
6
2021-05-22T15:33:42.000Z
2022-01-12T03:34:39.000Z
alfworld/agents/eval/__init__.py
roy860328/VSGM
3ec19f9cf1401cecf45527687936b8fe4167f672
[ "MIT" ]
1
2021-06-19T10:04:13.000Z
2021-06-20T03:37:23.000Z
alfworld/agents/eval/__init__.py
roy860328/VSGM
3ec19f9cf1401cecf45527687936b8fe4167f672
[ "MIT" ]
null
null
null
from agents.eval.evaluate_dagger import evaluate_dagger from agents.eval.evaluate_vision_dagger import evaluate_vision_dagger from agents.eval.evaluate_dqn import evaluate_dqn
58.333333
69
0.902857
26
175
5.769231
0.307692
0.2
0.28
0.44
0.373333
0
0
0
0
0
0
0
0.062857
175
3
70
58.333333
0.914634
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
0b1cc392777e46ad5986d71666bdb67b89dc9d58
3,252
py
Python
ckanext/datapusher/tests/test_default_views.py
ziveo/ckan
f4cfe5e28789df58b2bf7e73e5989ffda00e5c5c
[ "Apache-2.0" ]
2,805
2015-01-02T18:13:15.000Z
2022-03-31T03:35:01.000Z
ckanext/datapusher/tests/test_default_views.py
ziveo/ckan
f4cfe5e28789df58b2bf7e73e5989ffda00e5c5c
[ "Apache-2.0" ]
3,801
2015-01-02T11:05:36.000Z
2022-03-31T19:24:37.000Z
ckanext/datapusher/tests/test_default_views.py
ziveo/ckan
f4cfe5e28789df58b2bf7e73e5989ffda00e5c5c
[ "Apache-2.0" ]
1,689
2015-01-02T19:46:43.000Z
2022-03-28T14:59:43.000Z
# encoding: utf-8 import datetime import pytest from ckan.tests import helpers, factories @pytest.mark.ckan_config("ckan.views.default_views", "recline_grid_view") @pytest.mark.ckan_config( "ckan.plugins", "datapusher datastore recline_grid_view" ) @pytest.mark.usefixtures("clean_db", "with_plugins") def test_...
32.52
79
0.637454
399
3,252
4.977444
0.220551
0.060423
0.048338
0.05287
0.91289
0.91289
0.91289
0.91289
0.905337
0.905337
0
0.003066
0.197724
3,252
99
80
32.848485
0.758145
0.162669
0
0.707692
0
0
0.307267
0.017706
0
0
0
0
0.046154
1
0.030769
false
0
0.046154
0
0.076923
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
505f109474b1e15582f870886c4933191025b501
6,120
py
Python
tests/causal_refuters/test_bootstrap_refuter.py
ErikHambardzumyan/dowhy
685f64723e2a37334164dbb8da7d55f4e45975de
[ "MIT" ]
1
2020-05-30T21:04:27.000Z
2020-05-30T21:04:27.000Z
tests/causal_refuters/test_bootstrap_refuter.py
ErikHambardzumyan/dowhy
685f64723e2a37334164dbb8da7d55f4e45975de
[ "MIT" ]
null
null
null
tests/causal_refuters/test_bootstrap_refuter.py
ErikHambardzumyan/dowhy
685f64723e2a37334164dbb8da7d55f4e45975de
[ "MIT" ]
1
2020-07-30T12:32:46.000Z
2020-07-30T12:32:46.000Z
import pytest import numpy as np from .base import TestRefuter @pytest.mark.usefixtures("fixed_seed") class TestDataSubsetRefuter(object): ''' The first two tests are for the default behavior, in which we just bootstrap the data and obtain the estimate. ''' @pytest.mark.parame...
75.555556
187
0.668301
626
6,120
6.110224
0.126198
0.08366
0.144314
0.181961
0.931242
0.924967
0.906928
0.842353
0.842353
0.818824
0
0.014709
0.244608
6,120
81
188
75.555556
0.812676
0.033824
0
0.609375
0
0
0.191658
0.068942
0
0
0
0
0
1
0.125
false
0
0.046875
0
0.1875
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
acbcf6725dc0ba1da9d97fa878fdf8260be21451
1,832
py
Python
tests/_validation/test_size_validation.py
ynsnf/apysc
b10ffaf76ec6beb187477d0a744fca00e3efc3fb
[ "MIT" ]
16
2021-04-16T02:01:29.000Z
2022-01-01T08:53:49.000Z
tests/_validation/test_size_validation.py
ynsnf/apysc
b10ffaf76ec6beb187477d0a744fca00e3efc3fb
[ "MIT" ]
613
2021-03-24T03:37:38.000Z
2022-03-26T10:58:37.000Z
tests/_validation/test_size_validation.py
simon-ritchie/apyscript
c319f8ab2f1f5f7fad8d2a8b4fc06e7195476279
[ "MIT" ]
2
2021-06-20T07:32:58.000Z
2021-12-26T08:22:11.000Z
from apysc._validation import size_validation from tests import testing_helper def test_validate_size_is_int() -> None: size_validation.validate_size_is_int( size=100, err_msg='Specified width is not integer value.') testing_helper.assert_raises( expected_error_class=ValueError, ...
34.566038
74
0.690502
236
1,832
4.915254
0.182203
0.072414
0.156897
0.224138
0.909483
0.850862
0.82069
0.777586
0.710345
0.710345
0
0.012694
0.225983
1,832
52
75
35.230769
0.80536
0
0
0.5
0
0
0.133146
0
0
0
0
0
0.15
1
0.075
true
0
0.05
0
0.125
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
8
acd08af32f9f9595b90a741db2d815eaa313f2ec
19,312
py
Python
multicurrency/rupee.py
fscm/multicurrency
5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91
[ "MIT" ]
2
2021-03-26T18:19:57.000Z
2021-07-27T01:15:50.000Z
multicurrency/rupee.py
fscm/multicurrency
5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91
[ "MIT" ]
null
null
null
multicurrency/rupee.py
fscm/multicurrency
5eabdcbfbf427dcafe08d4d05cfce8c9348aeb91
[ "MIT" ]
null
null
null
# -*- coding: UTF-8 -*- # # copyright: 2020-2022, Frederico Martins # author: Frederico Martins <http://github.com/fscm> # license: SPDX-License-Identifier: MIT """Rupee currency representation(s).""" from decimal import Decimal from typing import Optional, Union from .currency import Currency class IndianRupee(Cur...
36.300752
77
0.595795
1,914
19,312
5.855799
0.0721
0.049964
0.034261
0.027123
0.870004
0.868754
0.860457
0.860457
0.849215
0.812812
0
0.01695
0.3096
19,312
531
78
36.369115
0.820971
0.502019
0
0.837004
0
0
0.027988
0
0
0
0
0
0
1
0.035242
false
0
0.013216
0
0.154185
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
c5e5b88e1ce1523a785665937a25b4744cedc2da
199
py
Python
tp/ui/__init__.py
chinapnr/agbot
9739ce1c2198e50111629db2d1de785edd06876e
[ "MIT" ]
2
2018-06-23T06:48:46.000Z
2018-06-23T10:11:50.000Z
tp/ui/__init__.py
chinapnr/agbot
9739ce1c2198e50111629db2d1de785edd06876e
[ "MIT" ]
5
2020-01-03T09:33:02.000Z
2021-06-02T00:49:52.000Z
tp/ui/__init__.py
chinapnr/agbot
9739ce1c2198e50111629db2d1de785edd06876e
[ "MIT" ]
1
2021-07-07T07:17:27.000Z
2021-07-07T07:17:27.000Z
from agbot.core.model.context import VerticalContext from .tp_ui import UiTestPoint def run(tp_conf_dict, vertical_context: VerticalContext): return UiTestPoint(tp_conf_dict, vertical_context)
28.428571
57
0.834171
27
199
5.888889
0.592593
0.075472
0.125786
0.226415
0.314465
0
0
0
0
0
0
0
0.105528
199
6
58
33.166667
0.893258
0
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.5
0.25
1
0
1
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
1
0
0
7
a8bc33b7fe19af62c72d2b01e82f7b230434cd26
37
py
Python
src/lib/sunau.py
DTenore/skulpt
098d20acfb088d6db85535132c324b7ac2f2d212
[ "MIT" ]
2,671
2015-01-03T08:23:25.000Z
2022-03-31T06:15:48.000Z
src/lib/sunau.py
wakeupmuyunhe/skulpt
a8fb11a80fb6d7c016bab5dfe3712517a350b347
[ "MIT" ]
972
2015-01-05T08:11:00.000Z
2022-03-29T13:47:15.000Z
src/lib/sunau.py
wakeupmuyunhe/skulpt
a8fb11a80fb6d7c016bab5dfe3712517a350b347
[ "MIT" ]
845
2015-01-03T19:53:36.000Z
2022-03-29T18:34:22.000Z
import _sk_fail; _sk_fail._("sunau")
18.5
36
0.756757
6
37
3.833333
0.666667
0.521739
0
0
0
0
0
0
0
0
0
0
0.081081
37
1
37
37
0.676471
0
0
0
0
0
0.135135
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
1
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
7663ceebbed78990198de735e13f9f7add130be4
20,843
py
Python
archi/net.py
victor-estrade/SystGradDescent
822e7094290301ec47a99433381a8d6406798aff
[ "MIT" ]
2
2019-03-20T09:05:02.000Z
2019-03-20T15:23:44.000Z
archi/net.py
victor-estrade/SystGradDescent
822e7094290301ec47a99433381a8d6406798aff
[ "MIT" ]
null
null
null
archi/net.py
victor-estrade/SystGradDescent
822e7094290301ec47a99433381a8d6406798aff
[ "MIT" ]
null
null
null
# coding: utf-8 from __future__ import division from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals import torch import torch.nn as nn from . import layers from .blocks import ResidualAverageBlock from .blocks import ResidualBlock from .blocks import so...
32.165123
69
0.587919
3,091
20,843
3.714979
0.040764
0.101454
0.198554
0.075764
0.943569
0.935818
0.933902
0.922755
0.918749
0.907428
0
0.032269
0.284844
20,843
647
70
32.214838
0.738092
0.004462
0
0.896226
0
0
0.000341
0
0
0
0
0
0
1
0.092453
false
0
0.018868
0
0.173585
0.001887
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
4f3947cf1c8fb52e14e89525535201fe31cac395
13,847
py
Python
memsource_cli/api/translation_api.py
zerodayz/memsource-cli-client
c2574f1467539a49e6637c874e88d75c7ef789b3
[ "Apache-2.0" ]
1
2020-07-24T16:29:32.000Z
2020-07-24T16:29:32.000Z
memsource_cli/api/translation_api.py
zerodayz/memsource-cli-client
c2574f1467539a49e6637c874e88d75c7ef789b3
[ "Apache-2.0" ]
null
null
null
memsource_cli/api/translation_api.py
zerodayz/memsource-cli-client
c2574f1467539a49e6637c874e88d75c7ef789b3
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ Memsource REST API Welcome to Memsource's API documentation. To view our legacy APIs please [visit our documentation](https://wiki.memsource.com/wiki/Memsource_API) and for more information about our new APIs, [visit our blog](https://www.memsource.com/blog/2017/10/24/introducing-rest-apis...
39.338068
421
0.620568
1,572
13,847
5.221374
0.124046
0.049708
0.019006
0.024854
0.887305
0.880239
0.873538
0.859527
0.85173
0.845517
0
0.017549
0.288077
13,847
351
422
39.450142
0.815074
0.339713
0
0.78022
0
0
0.202828
0.0625
0
0
0
0
0
1
0.038462
false
0
0.021978
0
0.115385
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
4f93be45d400a92a989c773a2cae0f4e98838035
165
py
Python
src/auction_api/models/__init__.py
4heck/auction_backend
c9568d45f5f4873f71ae71ced72b8e5a0a02d273
[ "MIT" ]
null
null
null
src/auction_api/models/__init__.py
4heck/auction_backend
c9568d45f5f4873f71ae71ced72b8e5a0a02d273
[ "MIT" ]
null
null
null
src/auction_api/models/__init__.py
4heck/auction_backend
c9568d45f5f4873f71ae71ced72b8e5a0a02d273
[ "MIT" ]
null
null
null
from auction_api.models.user import User from auction_api.models.auction import Auction from auction_api.models.bid import Bid __all__ = ["User", "Auction", "Bid"]
27.5
46
0.787879
25
165
4.92
0.32
0.268293
0.341463
0.487805
0
0
0
0
0
0
0
0
0.109091
165
5
47
33
0.836735
0
0
0
0
0
0.084848
0
0
0
0
0
0
1
0
false
0
0.75
0
0.75
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
7
96ce068c86f6f860bcc65a2d6132941a759a8f00
7,331
py
Python
model_scripts/pickled_app.py
beilmanmich/cap_june_2017
7bd4bc56e3d610e5919e8259d0d0cb6f2af06d9d
[ "CC-BY-3.0" ]
null
null
null
model_scripts/pickled_app.py
beilmanmich/cap_june_2017
7bd4bc56e3d610e5919e8259d0d0cb6f2af06d9d
[ "CC-BY-3.0" ]
null
null
null
model_scripts/pickled_app.py
beilmanmich/cap_june_2017
7bd4bc56e3d610e5919e8259d0d0cb6f2af06d9d
[ "CC-BY-3.0" ]
null
null
null
import flask import numpy as np import pandas as pd import pickle from sklearn.tree import DecisionTreeClassifier from sklearn.linear_model import LogisticRegression from sklearn.neighbors import KDTree import os #---------- MODEL IN MEMORY ----------------# df = pd.DataFrame(pickle.load(open('static/dummied_recent_d...
32.438053
97
0.790615
910
7,331
5.876923
0.216484
0.188482
0.298429
0.030292
0.810583
0.810583
0.810583
0.798242
0.798242
0.798242
0
0.004667
0.093848
7,331
225
98
32.582222
0.800391
0.023053
0
0.813397
0
0
0.705044
0.447953
0
0
0
0
0
1
0.014354
false
0
0.038278
0
0.066986
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
96dfa8bbf7d2627d47fe30d7eba05510fc81666f
128,679
py
Python
msgraph-cli-extensions/beta/sites_beta/azext_sites_beta/vendored_sdks/sites/operations/_sites_operations.py
thewahome/msgraph-cli
33127d9efa23a0e5f5303c93242fbdbb73348671
[ "MIT" ]
null
null
null
msgraph-cli-extensions/beta/sites_beta/azext_sites_beta/vendored_sdks/sites/operations/_sites_operations.py
thewahome/msgraph-cli
33127d9efa23a0e5f5303c93242fbdbb73348671
[ "MIT" ]
null
null
null
msgraph-cli-extensions/beta/sites_beta/azext_sites_beta/vendored_sdks/sites/operations/_sites_operations.py
thewahome/msgraph-cli
33127d9efa23a0e5f5303c93242fbdbb73348671
[ "MIT" ]
null
null
null
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
44.835889
214
0.633196
14,081
128,679
5.605781
0.021305
0.020751
0.013555
0.0188
0.946602
0.943523
0.929904
0.921302
0.903376
0.897675
0
0.007825
0.255185
128,679
2,869
215
44.851516
0.81577
0.270565
0
0.850296
0
0
0.092658
0.021655
0
0
0
0
0
1
0.036095
false
0
0.005325
0
0.089941
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8c5ef186939dc52a723f26a4f2acb470a4beb51c
159
py
Python
cashaccount/__init__.py
YumenoG/pycashaccount
f2a22eec729cc7b608241e1632d2ccde5fcc3bbc
[ "MIT" ]
2
2019-02-20T12:28:19.000Z
2019-02-20T12:28:22.000Z
cashaccount/__init__.py
YumenoG/pycashaccount
f2a22eec729cc7b608241e1632d2ccde5fcc3bbc
[ "MIT" ]
5
2019-01-03T19:35:17.000Z
2019-02-20T12:34:11.000Z
cashaccount/__init__.py
YumenoG/pycashaccount
f2a22eec729cc7b608241e1632d2ccde5fcc3bbc
[ "MIT" ]
1
2019-10-16T11:30:33.000Z
2019-10-16T11:30:33.000Z
from .payment import KeyHashInfo, ScriptHashInfo, PaymentCodeInfo from .registration import Registration from .registration import electron_markdown, opreturn
39.75
65
0.867925
16
159
8.5625
0.625
0.233577
0.321168
0
0
0
0
0
0
0
0
0
0.09434
159
3
66
53
0.951389
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
8b04120fbbfb9dd238177f79cf95478afc695b61
44,106
py
Python
venv/lib/python3.8/site-packages/azureml/_restclient/operations/run_operations.py
amcclead7336/Enterprise_Data_Science_Final
ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28
[ "Unlicense", "MIT" ]
null
null
null
venv/lib/python3.8/site-packages/azureml/_restclient/operations/run_operations.py
amcclead7336/Enterprise_Data_Science_Final
ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28
[ "Unlicense", "MIT" ]
null
null
null
venv/lib/python3.8/site-packages/azureml/_restclient/operations/run_operations.py
amcclead7336/Enterprise_Data_Science_Final
ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28
[ "Unlicense", "MIT" ]
2
2021-05-23T16:46:31.000Z
2021-05-26T23:51:09.000Z
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator 2.3.3...
46.039666
239
0.657121
4,502
44,106
6.217903
0.043314
0.036688
0.039474
0.012074
0.94788
0.945736
0.943486
0.942057
0.92716
0.92716
0
0.003722
0.25076
44,106
957
240
46.087774
0.84337
0.305174
0
0.801453
0
0.031477
0.202779
0.098963
0
0
0
0
0
1
0.033898
false
0
0.004843
0
0.106538
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8b193a7cb99a37671658cdc6e43a0663925262d0
113
py
Python
LnkParse3/target/printers.py
ernix/LnkParse3
ab8b2c796a501b103eb74142762e7fe9f4f1960a
[ "MIT" ]
null
null
null
LnkParse3/target/printers.py
ernix/LnkParse3
ab8b2c796a501b103eb74142762e7fe9f4f1960a
[ "MIT" ]
null
null
null
LnkParse3/target/printers.py
ernix/LnkParse3
ab8b2c796a501b103eb74142762e7fe9f4f1960a
[ "MIT" ]
null
null
null
from LnkParse3.target.lnk_target_base import LnkTargetBase class Printers(LnkTargetBase): # TODO: pass
16.142857
58
0.769912
13
113
6.538462
0.846154
0
0
0
0
0
0
0
0
0
0
0.010638
0.168142
113
6
59
18.833333
0.893617
0.044248
0
0
0
0
0
0
0
0
0
0.166667
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
1
1
1
0
1
0
0
7
8b2d02959ac26136a5b5ef98911ad974c5416e52
112
py
Python
snapx/snapx/algorithms/shortest_paths/__init__.py
ruth-ann/snap-python
fe98de7b5697b3d60eb3497893e24801ae1916f9
[ "BSD-3-Clause" ]
242
2015-01-01T08:40:28.000Z
2022-03-18T05:22:09.000Z
snapx/snapx/algorithms/shortest_paths/__init__.py
ruth-ann/snap-python
fe98de7b5697b3d60eb3497893e24801ae1916f9
[ "BSD-3-Clause" ]
99
2015-01-24T07:55:27.000Z
2021-10-30T18:20:13.000Z
snapx/snapx/algorithms/shortest_paths/__init__.py
ruth-ann/snap-python
fe98de7b5697b3d60eb3497893e24801ae1916f9
[ "BSD-3-Clause" ]
105
2015-03-03T06:45:17.000Z
2022-02-24T15:52:40.000Z
from snapx.algorithms.shortest_paths.weighted import * from snapx.algorithms.shortest_paths.unweighted import *
37.333333
56
0.857143
14
112
6.714286
0.571429
0.191489
0.404255
0.574468
0.680851
0
0
0
0
0
0
0
0.071429
112
2
57
56
0.903846
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
8c7560f03dbb3526ccb30d3de812d6405f5d7597
173,875
py
Python
CEDA/macroecon/eu.py
TerenceLiu98/CEDApy
14f21f6a8e83bd62afbf9be1465000db3c6b6dce
[ "MIT" ]
null
null
null
CEDA/macroecon/eu.py
TerenceLiu98/CEDApy
14f21f6a8e83bd62afbf9be1465000db3c6b6dce
[ "MIT" ]
null
null
null
CEDA/macroecon/eu.py
TerenceLiu98/CEDApy
14f21f6a8e83bd62afbf9be1465000db3c6b6dce
[ "MIT" ]
null
null
null
import io import os import demjson import requests import numpy as np import pandas as pd from fake_useragent import UserAgent from pandas.core.frame import DataFrame from pandas.core.reshape.merge import merge # Main Economic Indicators: https://alfred.stlouisfed.org/release?rid=205 url = { "fred_econ": "https://...
83.997585
2,337
0.703592
28,768
173,875
4.135393
0.036534
0.016711
0.032143
0.040347
0.873873
0.853581
0.833055
0.819126
0.801315
0.779502
0
0.145143
0.12873
173,875
2,069
2,338
84.038183
0.640159
0.13692
0
0.419762
0
0.106984
0.623224
0.402027
0
0
0
0
0
1
0.105498
false
0.011144
0.022288
0.001486
0.232541
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
8ca800964c0b72d33b3fef6ca83789794c0ea2b4
3,731
py
Python
reveal_graph_embedding/quality/conductance.py
MKLab-ITI/reveal-graph-embedding
72d4af794536f97b8ede06c0f27f261ea85d8c4b
[ "Apache-2.0" ]
31
2015-07-14T16:21:25.000Z
2021-06-30T14:10:44.000Z
reveal_graph_embedding/quality/conductance.py
MKLab-ITI/reveal-graph-embedding
72d4af794536f97b8ede06c0f27f261ea85d8c4b
[ "Apache-2.0" ]
null
null
null
reveal_graph_embedding/quality/conductance.py
MKLab-ITI/reveal-graph-embedding
72d4af794536f97b8ede06c0f27f261ea85d8c4b
[ "Apache-2.0" ]
11
2016-08-21T03:07:20.000Z
2020-03-07T03:17:05.000Z
__author__ = 'Georgios Rizos (georgerizos@iti.gr)' import numpy as np def conductance(adjacency_matrix, node_array): number_of_nodes = adjacency_matrix.shape[0] node_array_bar = np.setdiff1d(np.arange(number_of_nodes), node_array) submatrix = adjacency_matrix[np.ix_(node_array, node_array)] submatr...
34.869159
112
0.755562
479
3,731
5.496868
0.127349
0.09229
0.082036
0.069882
0.809343
0.809343
0.79681
0.79681
0.79681
0.79681
0
0.004847
0.170464
3,731
106
113
35.198113
0.84588
0.039936
0
0.73913
0
0
0.00979
0
0
0
0
0.009434
0
1
0.072464
false
0
0.014493
0
0.15942
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8ced7434cb879444a7aa7c69a5a7671e68b30702
36
py
Python
simpleui/__init__.py
skyformat99/simpleui-1
84e68ffe27f261ed1fbc889430e61fdd9add7657
[ "MIT" ]
null
null
null
simpleui/__init__.py
skyformat99/simpleui-1
84e68ffe27f261ed1fbc889430e61fdd9add7657
[ "MIT" ]
null
null
null
simpleui/__init__.py
skyformat99/simpleui-1
84e68ffe27f261ed1fbc889430e61fdd9add7657
[ "MIT" ]
1
2019-08-27T18:05:36.000Z
2019-08-27T18:05:36.000Z
def get_version(): return '2.8'
12
18
0.611111
6
36
3.5
1
0
0
0
0
0
0
0
0
0
0
0.071429
0.222222
36
2
19
18
0.678571
0
0
0
0
0
0.083333
0
0
0
0
0
0
1
0.5
true
0
0
0.5
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
1
1
0
0
7
0fe72a6430b726017aba6aca0045eab7c5759123
142
py
Python
pylogger/utils/idgenerator.py
agSant01/pylogger
99a5d08b0f486c43dc4936cd89474e21a86f377a
[ "MIT" ]
null
null
null
pylogger/utils/idgenerator.py
agSant01/pylogger
99a5d08b0f486c43dc4936cd89474e21a86f377a
[ "MIT" ]
null
null
null
pylogger/utils/idgenerator.py
agSant01/pylogger
99a5d08b0f486c43dc4936cd89474e21a86f377a
[ "MIT" ]
null
null
null
import string import random def id_generator(): return ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6))
20.285714
91
0.746479
20
142
5.15
0.8
0
0
0
0
0
0
0
0
0
0
0.008197
0.140845
142
6
92
23.666667
0.836066
0
0
0
0
0
0
0
0
0
0
0
0
1
0.25
true
0
0.5
0.25
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
1
1
0
0
7
ba0a080b0cf1de1be674bf37d6678cbbececade9
2,653
py
Python
mahjonggscoring/rules/test/test_melded_kong.py
kajiki/py-mahjongg-scoring
b23202de018a8206a4be5594247faa0754e7e54e
[ "MIT" ]
null
null
null
mahjonggscoring/rules/test/test_melded_kong.py
kajiki/py-mahjongg-scoring
b23202de018a8206a4be5594247faa0754e7e54e
[ "MIT" ]
null
null
null
mahjonggscoring/rules/test/test_melded_kong.py
kajiki/py-mahjongg-scoring
b23202de018a8206a4be5594247faa0754e7e54e
[ "MIT" ]
null
null
null
import unittest2 from mahjonggscoring.rules import MeldedKong from mahjonggscoring import Hand class TestMeldedKongPartial(unittest2.TestCase): def setUp(self): data = [["6/", "6/", "6/", "6/"], ["2/", "3/", "4/"], ["F", "F", "F"], ["2/", "3/", "4/"], ["8/", "8/"]] hand = Hand(data, {"concealed": [False, True, Fa...
35.851351
111
0.588767
346
2,653
4.450867
0.130058
0.023377
0.023377
0.131818
0.82013
0.814935
0.814935
0.814935
0.814935
0.814935
0
0.041264
0.141349
2,653
74
112
35.851351
0.634767
0
0
0.666667
0
0
0.087792
0
0
0
0
0
0.166667
1
0.216667
false
0.283333
0.05
0
0.333333
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
8
ba0b71fea3955a06b0fb30ee870bffb2695154ef
5,223
py
Python
picture/tests.py
ENAIKA/picture
4a5f81a6fc3f56b0322ed753af0e601cc0ec8149
[ "Unlicense" ]
null
null
null
picture/tests.py
ENAIKA/picture
4a5f81a6fc3f56b0322ed753af0e601cc0ec8149
[ "Unlicense" ]
8
2021-03-19T04:10:34.000Z
2021-09-22T19:06:00.000Z
picture/tests.py
ENAIKA/picture
4a5f81a6fc3f56b0322ed753af0e601cc0ec8149
[ "Unlicense" ]
null
null
null
from django.test import TestCase from .models import PhotoImage,Category,Location import pyperclip # Create your tests here. class LocationTestClass(TestCase): # Set up method def setUp(self): #creating a new location and saving it self.new_location=Location(location_name="Mozambique") ...
32.64375
119
0.66054
616
5,223
5.456169
0.103896
0.052068
0.053555
0.078548
0.80601
0.773282
0.770902
0.75662
0.727165
0.707528
0
0.003755
0.235114
5,223
159
120
32.849057
0.837547
0.140149
0
0.65625
0
0
0.042143
0
0
0
0
0
0.166667
1
0.25
false
0
0.03125
0
0.322917
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
ba0c1b6262ce1cb0869cfc7cde679c3191f17e85
5,024
py
Python
rodnet/utils/visualization/demo.py
zhengzangw/RODNet
eca5f2bd1f3051c2b823d279532ddafa71b009c1
[ "MIT" ]
109
2020-11-13T11:58:41.000Z
2022-03-29T06:46:09.000Z
rodnet/utils/visualization/demo.py
yh-luo/RODNet
969cad6f08b8957b26bc16f86ac4e835d1294050
[ "MIT" ]
46
2021-01-13T08:53:12.000Z
2022-03-31T02:51:16.000Z
rodnet/utils/visualization/demo.py
yh-luo/RODNet
969cad6f08b8957b26bc16f86ac4e835d1294050
[ "MIT" ]
43
2021-01-07T05:09:36.000Z
2022-03-20T11:13:58.000Z
import numpy as np import matplotlib.pyplot as plt import matplotlib.image as mpimg from rodnet.core.object_class import get_class_name from .fig_configs import fig, fp, symbols def visualize_train_img_old(fig_name, input_radar, output_confmap, confmap_gt): fig = plt.figure(figsize=(8, 4)) img = input_radar ...
33.052632
112
0.621616
798
5,024
3.716792
0.145363
0.059339
0.061362
0.077883
0.833109
0.833109
0.794673
0.763655
0.736682
0.712407
0
0.039532
0.234674
5,024
151
113
33.271523
0.73186
0
0
0.761905
0
0
0.048766
0
0
0
0
0
0
1
0.031746
false
0
0.039683
0
0.071429
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
e8ac38cbeb3fcd5576ff820f4b114c8e541ed403
128,507
py
Python
librespot/proto/Metadata_pb2.py
forslund/librespot-python
7a340b1b20889e1afae47aa0f433a0893f4290f1
[ "Apache-2.0" ]
64
2021-02-24T06:46:34.000Z
2022-03-29T11:33:46.000Z
librespot/proto/Metadata_pb2.py
forslund/librespot-python
7a340b1b20889e1afae47aa0f433a0893f4290f1
[ "Apache-2.0" ]
16
2021-04-24T12:25:30.000Z
2022-02-19T00:02:44.000Z
librespot/proto/Metadata_pb2.py
forslund/librespot-python
7a340b1b20889e1afae47aa0f433a0893f4290f1
[ "Apache-2.0" ]
22
2021-04-05T23:57:14.000Z
2022-03-10T04:45:08.000Z
# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: metadata.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protob...
34.741011
10,162
0.593345
13,243
128,507
5.444159
0.038813
0.053594
0.093291
0.077895
0.835472
0.810131
0.769214
0.726105
0.699252
0.683759
0
0.042617
0.307968
128,507
3,698
10,163
34.750406
0.76809
0.013065
0
0.817754
1
0.000277
0.161431
0.131352
0
0
0
0
0
1
0
false
0
0.001106
0
0.001106
0
0
0
0
null
0
0
0
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
e8c10c4f512a8859ad0d6347eb53b0188b0c7e0b
123
py
Python
src/omlt/neuralnet/layers/__init__.py
fracek/OMLT
b0ccafda34d1ea2b1187186081ed50f17c10ba7f
[ "BSD-3-Clause" ]
115
2021-11-04T03:15:35.000Z
2022-03-28T19:05:55.000Z
src/omlt/neuralnet/layers/__init__.py
fracek/OMLT
b0ccafda34d1ea2b1187186081ed50f17c10ba7f
[ "BSD-3-Clause" ]
56
2021-11-03T13:59:41.000Z
2022-03-21T14:01:52.000Z
src/omlt/neuralnet/layers/__init__.py
fracek/OMLT
b0ccafda34d1ea2b1187186081ed50f17c10ba7f
[ "BSD-3-Clause" ]
17
2021-11-04T03:15:23.000Z
2022-03-24T02:24:15.000Z
from .full_space import full_space_dense_layer, full_space_conv_layer from .reduced_space import reduced_space_dense_layer
41
69
0.902439
20
123
5
0.4
0.27
0.3
0
0
0
0
0
0
0
0
0
0.073171
123
2
70
61.5
0.877193
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
fa71eeac3d674093c4c774373dd96dc7070f8a46
22,469
py
Python
python/powermeter_api/api/recent_api.py
thracesystems/powermeter-api
7bdab034ff916ee49e986de88f157bd044e981c1
[ "Apache-2.0" ]
null
null
null
python/powermeter_api/api/recent_api.py
thracesystems/powermeter-api
7bdab034ff916ee49e986de88f157bd044e981c1
[ "Apache-2.0" ]
null
null
null
python/powermeter_api/api/recent_api.py
thracesystems/powermeter-api
7bdab034ff916ee49e986de88f157bd044e981c1
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ PowerMeter API API # noqa: E501 The version of the OpenAPI document: 2021.4.1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from powermeter_api.api_clie...
39.909414
96
0.580044
2,398
22,469
5.173478
0.071726
0.036112
0.045139
0.036273
0.933661
0.933661
0.925601
0.925601
0.925601
0.903434
0
0.013205
0.349504
22,469
562
97
39.980427
0.835591
0.480573
0
0.731225
1
0
0.146612
0.039083
0
0
0
0
0
1
0.043478
false
0
0.019763
0
0.106719
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
d744d61c248f582a0e3f83b3d3b43d79fb1c17ac
223
py
Python
nmigen/vendor/xilinx.py
psumesh/nmigen
7d611b8fc1d9e58853ff268ec38ff8f4131a9774
[ "BSD-2-Clause" ]
528
2020-01-28T18:21:00.000Z
2021-12-09T06:27:51.000Z
nmigen/vendor/xilinx.py
psumesh/nmigen
7d611b8fc1d9e58853ff268ec38ff8f4131a9774
[ "BSD-2-Clause" ]
360
2020-01-28T18:34:30.000Z
2021-12-10T08:03:32.000Z
nmigen/vendor/xilinx.py
psumesh/nmigen
7d611b8fc1d9e58853ff268ec38ff8f4131a9774
[ "BSD-2-Clause" ]
100
2020-02-06T21:55:46.000Z
2021-11-25T19:20:44.000Z
from amaranth.vendor.xilinx import * from amaranth.vendor.xilinx import __all__ import warnings warnings.warn("instead of nmigen.vendor.xilinx, use amaranth.vendor.xilinx", DeprecationWarning, stacklevel=2)
27.875
76
0.7713
27
223
6.222222
0.555556
0.285714
0.357143
0.285714
0.357143
0
0
0
0
0
0
0.005263
0.147982
223
7
77
31.857143
0.878947
0
0
0
0
0
0.264574
0.192825
0
0
0
0
0
1
0
true
0
0.6
0
0.6
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
d7584cfd8836d2082bc285338a1155104c8d7013
35,879
py
Python
backends/tests/integration/core/models_tests.py
sltk/crmint
bc8417bc4ed225faa5caa88daca48f1f12f2ac94
[ "Apache-2.0" ]
null
null
null
backends/tests/integration/core/models_tests.py
sltk/crmint
bc8417bc4ed225faa5caa88daca48f1f12f2ac94
[ "Apache-2.0" ]
null
null
null
backends/tests/integration/core/models_tests.py
sltk/crmint
bc8417bc4ed225faa5caa88daca48f1f12f2ac94
[ "Apache-2.0" ]
null
null
null
# Copyright 2018 Google Inc # # 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, ...
41.24023
92
0.738092
4,582
35,879
5.625491
0.053907
0.072975
0.07216
0.101024
0.895019
0.869219
0.823208
0.802995
0.77933
0.759505
0
0.012509
0.13997
35,879
869
93
41.287687
0.822828
0.036205
0
0.761194
0
0
0.010623
0.001939
0
0
0
0
0.305292
1
0.096337
false
0
0.014925
0
0.12483
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
d784168dac88b85eacedf7bc81a50fb3bf6ae2ca
196
py
Python
built-in/TensorFlow/Official/nlp/Transformer_for_TensorFlow/noahnmt/decoders/__init__.py
Huawei-Ascend/modelzoo
df51ed9c1d6dbde1deef63f2a037a369f8554406
[ "Apache-2.0" ]
null
null
null
built-in/TensorFlow/Official/nlp/Transformer_for_TensorFlow/noahnmt/decoders/__init__.py
Huawei-Ascend/modelzoo
df51ed9c1d6dbde1deef63f2a037a369f8554406
[ "Apache-2.0" ]
3
2021-03-31T20:15:40.000Z
2022-02-09T23:50:46.000Z
built-in/TensorFlow/Official/nlp/Transformer_for_TensorFlow/noahnmt/decoders/__init__.py
Huawei-Ascend/modelzoo
df51ed9c1d6dbde1deef63f2a037a369f8554406
[ "Apache-2.0" ]
null
null
null
# coding=utf-8 # Copyright Huawei Noah's Ark Lab. from noahnmt.decoders import attention_decoder from noahnmt.decoders import beam_search_decoder from noahnmt.decoders import transformer_decoder
28
48
0.846939
28
196
5.785714
0.642857
0.203704
0.351852
0.462963
0.395062
0
0
0
0
0
0
0.005714
0.107143
196
6
49
32.666667
0.92
0.229592
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
ad06a083b65ff952a6f645b56ae1d8a2a566a546
42
py
Python
tests/test_psdm_qs_cli.py
teddyrendahl/psdm_qs_cli
3b693932f64daa948319f24441a326920a7a7f08
[ "MIT" ]
null
null
null
tests/test_psdm_qs_cli.py
teddyrendahl/psdm_qs_cli
3b693932f64daa948319f24441a326920a7a7f08
[ "MIT" ]
null
null
null
tests/test_psdm_qs_cli.py
teddyrendahl/psdm_qs_cli
3b693932f64daa948319f24441a326920a7a7f08
[ "MIT" ]
null
null
null
def test_import(): import psdm_qs_cli
14
22
0.738095
7
42
4
0.857143
0
0
0
0
0
0
0
0
0
0
0
0.190476
42
2
23
21
0.823529
0
0
0
0
0
0
0
0
0
0
0
0
1
0.5
true
0
1
0
1.5
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
0
1
0
0
7
ad1562186d9b68e5f46211db9be82f2787739647
17,161
py
Python
src/scripts/data_processing/combine_ts_fresh_features.py
arnabbiswas1/k_tab_aug_muticlass_rmse_logloss_weightedf1_stratified_tsfresh_cesium
13db3cb9d0b2f25181ccf4b1316e12425abfc276
[ "Apache-2.0" ]
null
null
null
src/scripts/data_processing/combine_ts_fresh_features.py
arnabbiswas1/k_tab_aug_muticlass_rmse_logloss_weightedf1_stratified_tsfresh_cesium
13db3cb9d0b2f25181ccf4b1316e12425abfc276
[ "Apache-2.0" ]
null
null
null
src/scripts/data_processing/combine_ts_fresh_features.py
arnabbiswas1/k_tab_aug_muticlass_rmse_logloss_weightedf1_stratified_tsfresh_cesium
13db3cb9d0b2f25181ccf4b1316e12425abfc276
[ "Apache-2.0" ]
null
null
null
""" Script to combine the features generated for tsfresh and write the combined DF back to disk """ from src import common import pandas as pd import src.config.constants as constants def select_features(logger, df, features_to_drop): logger.info(f"Shape of the features {df.shape}") df = df.drop(features_t...
44.924084
102
0.757823
2,290
17,161
4.611354
0.0869
0.131913
0.339205
0.414583
0.858239
0.795644
0.110227
0.101231
0.074811
0.044318
0
0.055182
0.177379
17,161
381
103
45.041995
0.692853
0.006993
0
0.037249
1
0
0.669113
0.640463
0
0
0
0
0
1
0.008596
false
0
0.008596
0
0.025788
0
0
0
0
null
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
ad5e794854817e95b07ec1b47f801079caf75efc
36
py
Python
tests/sample.py
VoshVolk/public_python
8480f8220531534268f42449c66ebbfd3011bf6e
[ "Apache-2.0" ]
1
2021-11-08T08:09:29.000Z
2021-11-08T08:09:29.000Z
tests/sample.py
VoshVolk/public_python
8480f8220531534268f42449c66ebbfd3011bf6e
[ "Apache-2.0" ]
null
null
null
tests/sample.py
VoshVolk/public_python
8480f8220531534268f42449c66ebbfd3011bf6e
[ "Apache-2.0" ]
null
null
null
def first_entry(): return "a"
7.2
18
0.583333
5
36
4
1
0
0
0
0
0
0
0
0
0
0
0
0.277778
36
5
19
7.2
0.769231
0
0
0
0
0
0.029412
0
0
0
0
0
0
1
0.5
true
0
0
0.5
1
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
0
1
1
0
0
7
ad73b98e5937ee7641afdacd13e0f2d6675bd2e5
2,291
py
Python
pynncml/metrics/regression.py
haihabi/PyNNcml
808892da798913928fbc219cbb5f9e41156d9d49
[ "MIT" ]
4
2020-06-28T22:52:19.000Z
2021-10-31T10:19:51.000Z
pynncml/metrics/regression.py
haihabi/PyNNcml
808892da798913928fbc219cbb5f9e41156d9d49
[ "MIT" ]
null
null
null
pynncml/metrics/regression.py
haihabi/PyNNcml
808892da798913928fbc219cbb5f9e41156d9d49
[ "MIT" ]
4
2020-06-28T22:52:24.000Z
2021-11-04T00:28:42.000Z
import numpy as np def mse(input_array: np.ndarray, reference_array: np.ndarray) -> float: r""" The mse function compute the mean square error of predication array. .. math:: mse=\frac{1}{N}\sum_i^N (p_i-r_i)^2 where mse is the mean square error measurement, p is the predication array...
44.057692
116
0.709734
362
2,291
4.411602
0.165746
0.140263
0.084534
0.067627
0.872887
0.834064
0.812774
0.789606
0.733876
0.710081
0
0.009377
0.208643
2,291
51
117
44.921569
0.871484
0.700131
0
0
0
0
0
0
0
0
0
0
0
1
0.3
false
0
0.1
0
0.7
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
8
d159bb5b3249c9ecab80c7d7f8d8e48ce50482d4
28,733
py
Python
sdk/python/pulumi_github/repository_pull_request.py
pulumi/pulumi-github
303ed7a28cbfe6ba1db75b3b365dcfa0b00e6e91
[ "ECL-2.0", "Apache-2.0" ]
20
2020-04-27T15:05:01.000Z
2022-02-08T00:28:32.000Z
sdk/python/pulumi_github/repository_pull_request.py
pulumi/pulumi-github
303ed7a28cbfe6ba1db75b3b365dcfa0b00e6e91
[ "ECL-2.0", "Apache-2.0" ]
103
2020-05-01T17:36:32.000Z
2022-03-31T15:26:35.000Z
sdk/python/pulumi_github/repository_pull_request.py
pulumi/pulumi-github
303ed7a28cbfe6ba1db75b3b365dcfa0b00e6e91
[ "ECL-2.0", "Apache-2.0" ]
4
2020-06-24T19:15:02.000Z
2021-11-26T08:05:46.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import ...
40.242297
150
0.628789
3,474
28,733
4.986471
0.059298
0.098424
0.088899
0.073659
0.852855
0.822952
0.786873
0.752352
0.736882
0.702419
0
0.000047
0.263913
28,733
713
151
40.298738
0.819007
0.288727
0
0.611511
1
0
0.087051
0.016591
0
0
0
0
0
1
0.165468
false
0.002398
0.01199
0
0.280576
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0f671ec5ae5d7110499cfacf5a341c8c1013e3ad
26,956
py
Python
ats/tests/tests_views.py
dictoss/active-task-summary
1febb3b9e9e2a4e83a555cecfab374eb5eeaa816
[ "BSD-2-Clause" ]
2
2016-11-11T00:07:42.000Z
2017-04-23T10:58:43.000Z
ats/tests/tests_views.py
dictoss/active-task-summary
1febb3b9e9e2a4e83a555cecfab374eb5eeaa816
[ "BSD-2-Clause" ]
43
2015-04-02T13:06:37.000Z
2022-02-19T14:30:57.000Z
ats/tests/tests_views.py
dictoss/active-task-summary
1febb3b9e9e2a4e83a555cecfab374eb5eeaa816
[ "BSD-2-Clause" ]
null
null
null
from django.test import TestCase, Client, RequestFactory from django.urls import reverse from django.contrib.auth.models import User from django.db import IntegrityError import datetime from datetime import timedelta import pytz from ..views import ( format_totaltime, format_hours_float, get_projects_in_...
30.458757
73
0.549414
2,681
26,956
5.293174
0.075345
0.052146
0.054542
0.071524
0.866394
0.847368
0.825382
0.820943
0.8115
0.803256
0
0.041585
0.33896
26,956
884
74
30.493213
0.754812
0.012242
0
0.77554
0
0
0.111491
0.009473
0
0
0
0
0.099281
1
0.077698
false
0.115108
0.01295
0
0.184173
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
8
0f6b71be95be7ce75420c4b6a729f4804369a4e7
949
py
Python
UrsinaShaderBuilder/ExtraData/extra_models.py
Werxzy/UrsinaShaderBuilder
1ee13e36d3787a73e84f6b4bf9b51c51ba75c79b
[ "MIT" ]
3
2022-03-01T00:01:30.000Z
2022-03-13T16:05:06.000Z
UrsinaShaderBuilder/ExtraData/extra_models.py
Werxzy/UrsinaShaderBuilder
1ee13e36d3787a73e84f6b4bf9b51c51ba75c79b
[ "MIT" ]
null
null
null
UrsinaShaderBuilder/ExtraData/extra_models.py
Werxzy/UrsinaShaderBuilder
1ee13e36d3787a73e84f6b4bf9b51c51ba75c79b
[ "MIT" ]
null
null
null
from ursina import Vec3 # mode = 'ngon' x_vert = [Vec3(0,1,0), Vec3(-1,2,0), Vec3(-2,1,0), Vec3(-1,0,0), Vec3(-2,-1,0), Vec3(-1,-2,0), Vec3(0,-1,0), Vec3(1,-2,0), Vec3(2,-1,0), Vec3(1,0,0), Vec3(2,1,0), Vec3(1,2,0)] check_vert = [Vec3(-0.5,0,0), Vec3(-1.5,1,0), Vec3(-2.5,0,0), Vec3(-0.5,-2,0), Vec3(2.5,1,0), Vec3(1.5,2...
67.785714
175
0.542677
249
949
2.02008
0.080321
0.467197
0.262425
0.139165
0.739563
0.739563
0.739563
0.739563
0.739563
0.739563
0
0.262045
0.103267
949
14
176
67.785714
0.329025
0.032666
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.090909
0
0.090909
0
0
0
0
null
1
1
0
0
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
0f6e4a410cf57c465a5c2b2cb63e53b5f1a4f640
31,494
py
Python
read_xml_all/calcul_matrix_je_le_qui_dans_de_192_matrix_good_compare_1.py
daniel20162016/my-first
f9554dd476302b26e8a296393025f150922f349c
[ "MIT" ]
null
null
null
read_xml_all/calcul_matrix_je_le_qui_dans_de_192_matrix_good_compare_1.py
daniel20162016/my-first
f9554dd476302b26e8a296393025f150922f349c
[ "MIT" ]
null
null
null
read_xml_all/calcul_matrix_je_le_qui_dans_de_192_matrix_good_compare_1.py
daniel20162016/my-first
f9554dd476302b26e8a296393025f150922f349c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Mon Oct 31 15:45:22 2016 @author: wang """ #from matplotlib import pylab as plt #from numpy import fft, fromstring, int16, linspace #import wave from read_wav_xml_good_1 import* from matrix_24_2 import* from max_matrix_norm import* import numpy as np # open a wave file filename...
45.25
392
0.498539
5,029
31,494
2.679061
0.019885
0.034513
0.042678
0.124694
0.949826
0.945001
0.942181
0.901432
0.899577
0.899577
0
0.065017
0.122404
31,494
696
392
45.25
0.422447
0.392773
0
0.905077
0
0
0.006154
0.004775
0
0
0
0
0
0
null
null
0
0.00883
null
null
0.002208
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
9
0f885f32400bdb20dc67b77fc5021d99ed6b859f
84
py
Python
frameworks/NODE/__init__.py
termit209/automlbenchmark
07046564a5fac762a9beae8e77a9a672170873c7
[ "MIT" ]
null
null
null
frameworks/NODE/__init__.py
termit209/automlbenchmark
07046564a5fac762a9beae8e77a9a672170873c7
[ "MIT" ]
1
2021-02-04T11:57:14.000Z
2021-02-04T11:59:54.000Z
frameworks/NODE/__init__.py
termit209/automlbenchmark
07046564a5fac762a9beae8e77a9a672170873c7
[ "MIT" ]
2
2021-02-04T12:00:49.000Z
2021-02-04T12:26:23.000Z
def run(*args, **kwargs): from .exec import run return run(*args, **kwargs)
21
31
0.619048
12
84
4.333333
0.666667
0.269231
0.5
0
0
0
0
0
0
0
0
0
0.214286
84
4
31
21
0.787879
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
0
1
0
0
8
0e291545e3b5c24d932d94c62743c850a5df89f3
1,927
py
Python
recipes-python_st/imx6sx-webserver/addwebserver/Flask_orion/app/xml_parser.py
Stefan12321/meta-python_st
8ff187963bfd15dbfd6a6c74ae913935be3e6cce
[ "MIT" ]
null
null
null
recipes-python_st/imx6sx-webserver/addwebserver/Flask_orion/app/xml_parser.py
Stefan12321/meta-python_st
8ff187963bfd15dbfd6a6c74ae913935be3e6cce
[ "MIT" ]
null
null
null
recipes-python_st/imx6sx-webserver/addwebserver/Flask_orion/app/xml_parser.py
Stefan12321/meta-python_st
8ff187963bfd15dbfd6a6c74ae913935be3e6cce
[ "MIT" ]
1
2022-02-08T08:35:31.000Z
2022-02-08T08:35:31.000Z
import xml.etree.cElementTree as ET def xml_parser_read(path='/files_61850/KALINA.CID'): tree = ET.parse(path) root = tree.getroot() pref = '{http://www.iec.ch/61850/2003/SCL}' ip = root.findall( '{pref}Communication/{pref}SubNetwork/{pref}ConnectedAP/{pref}Address/{pref}P[@type="IP"]'.format(...
53.527778
146
0.679813
279
1,927
4.637993
0.200717
0.085008
0.11592
0.173107
0.814529
0.814529
0.814529
0.76507
0.76507
0.723338
0
0.034058
0.116243
1,927
36
147
53.527778
0.725778
0.037883
0
0.206897
0
0.206897
0.443305
0.384449
0
0
0
0
0
1
0.068966
false
0
0.034483
0
0.137931
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
0e41c7c27bf635315f4fb9ff9b27bbf64aeaed81
4,951
py
Python
usaspending_api/disaster/tests/integration/test_disaster_award_amount.py
jbuendiallc/usaspending-api
f827870cbca4b6a6e16f1c5272bb2ff73a113d76
[ "CC0-1.0" ]
1
2020-08-14T04:14:32.000Z
2020-08-14T04:14:32.000Z
usaspending_api/disaster/tests/integration/test_disaster_award_amount.py
jbuendiallc/usaspending-api
f827870cbca4b6a6e16f1c5272bb2ff73a113d76
[ "CC0-1.0" ]
null
null
null
usaspending_api/disaster/tests/integration/test_disaster_award_amount.py
jbuendiallc/usaspending-api
f827870cbca4b6a6e16f1c5272bb2ff73a113d76
[ "CC0-1.0" ]
null
null
null
import pytest from rest_framework import status url = "/api/v2/disaster/award/amount/" @pytest.mark.django_db def test_award_amount_success(client, monkeypatch, generic_account_data, unlinked_faba_account_data, helpers): helpers.patch_datetime_now(monkeypatch, 2022, 12, 31) helpers.reset_dabs_cache() r...
39.608
120
0.722278
715
4,951
4.699301
0.160839
0.130952
0.129167
0.069643
0.827679
0.802381
0.795238
0.78631
0.741964
0.63869
0
0.047081
0.141992
4,951
124
121
39.927419
0.743879
0
0
0.5
0
0.010638
0.095536
0.006059
0
0
0
0
0.468085
1
0.095745
false
0
0.021277
0
0.117021
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
7
0e43b04c38d9bdc7a00d6636f52199eb19ef6669
2,592
py
Python
src/utils/batch_cpu_insert.py
Metroynome/robo
78c389decce98d0d1e4e4e02ccbfcba7b465209c
[ "MIT" ]
null
null
null
src/utils/batch_cpu_insert.py
Metroynome/robo
78c389decce98d0d1e4e4e02ccbfcba7b465209c
[ "MIT" ]
null
null
null
src/utils/batch_cpu_insert.py
Metroynome/robo
78c389decce98d0d1e4e4e02ccbfcba7b465209c
[ "MIT" ]
null
null
null
import sqlite3 import random n_cpus = 999 db_file = "../../logs/database.db" db_file = "file:" + db_file + "?mode=" + "rwc" print("Using DB: {}".format(db_file)) # This will raise an error if it can't connect conn = sqlite3.connect(db_file, uri=True, check_same_thread=False) default_stats = '00C0A84400C...
66.461538
829
0.824846
162
2,592
12.944444
0.493827
0.042918
0.024797
0.010491
0
0
0
0
0
0
0
0.570871
0.109954
2,592
38
830
68.210526
0.338101
0.016975
0
0
0
0
0.641946
0.540271
0.035714
1
0
0
0
1
0.071429
false
0.107143
0.071429
0
0.178571
0.071429
0
0
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
1
1
null
1
0
0
0
0
0
0
1
0
0
0
0
0
7
7ef0ddd65f9d900e2aa0d797937d9c580d6ad255
33
py
Python
server/blueprints/admin_home/__init__.py
prakashsellathurai/fashion-Image-Recommender
e0f481133f19e3b8f7f45bf6fc97e39ea866d050
[ "MIT" ]
2
2021-07-31T14:01:01.000Z
2021-08-01T11:09:57.000Z
server/blueprints/admin_home/__init__.py
prakashsellathurai/fashion-Image-Recommender
e0f481133f19e3b8f7f45bf6fc97e39ea866d050
[ "MIT" ]
4
2021-04-30T21:36:10.000Z
2021-11-10T19:58:49.000Z
server/blueprints/admin_home/__init__.py
prakashsellathurai/fashion-Image-Recommender
e0f481133f19e3b8f7f45bf6fc97e39ea866d050
[ "MIT" ]
null
null
null
from .blueprint import admin_home
33
33
0.878788
5
33
5.6
1
0
0
0
0
0
0
0
0
0
0
0
0.090909
33
1
33
33
0.933333
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
1
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
1
0
7
7efdb5e041e5ac7a51dad9560ec80c85ac2503ba
190
py
Python
test/integration/samples_in/two_liner.py
Inveracity/flynt
b975b6f61893d5db1114d68fbb5d212c4e11aeb8
[ "MIT" ]
487
2019-06-10T17:44:56.000Z
2022-03-26T01:28:19.000Z
test/integration/samples_in/two_liner.py
Inveracity/flynt
b975b6f61893d5db1114d68fbb5d212c4e11aeb8
[ "MIT" ]
118
2019-07-03T12:26:39.000Z
2022-03-06T22:40:17.000Z
test/integration/samples_in/two_liner.py
Inveracity/flynt
b975b6f61893d5db1114d68fbb5d212c4e11aeb8
[ "MIT" ]
25
2019-07-10T08:39:58.000Z
2022-03-03T14:44:15.000Z
x, y = 1, 2 a = ('line 1 {}' ' line 2 {}'.format(x, y)) b = ('line 1234567890 1234567890 1234567890 1234567890 {}' ' 1234567890 1234567890 1234567890 1234567890 {}'.format(x, y))
31.666667
69
0.610526
25
190
4.64
0.36
1.206897
1.551724
1.724138
0.689655
0.689655
0.689655
0
0
0
0
0.563758
0.215789
190
6
69
31.666667
0.214765
0
0
0
0
0
0.617801
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
7d441d1b467697a91e698e563ebd6b0769e7f99f
26,551
py
Python
tests/test_packages/test_connections/test_http_server/test_http_server.py
lrahmani/agents-aea
9bd1d51530fc21bf41b5adea031cda19a94b048b
[ "Apache-2.0" ]
null
null
null
tests/test_packages/test_connections/test_http_server/test_http_server.py
lrahmani/agents-aea
9bd1d51530fc21bf41b5adea031cda19a94b048b
[ "Apache-2.0" ]
null
null
null
tests/test_packages/test_connections/test_http_server/test_http_server.py
lrahmani/agents-aea
9bd1d51530fc21bf41b5adea031cda19a94b048b
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2018-2019 Fetch.AI Limited # # 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 ...
37.134266
89
0.616851
3,006
26,551
5.234531
0.087824
0.069399
0.047537
0.014236
0.902574
0.89749
0.886432
0.875818
0.859422
0.859422
0
0.008531
0.280366
26,551
714
90
37.186275
0.814989
0.078528
0
0.820652
0
0
0.034268
0
0
0
0
0
0.077899
1
0.038043
false
0
0.027174
0
0.108696
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
cb2e8dd584901034c7921a00bc577f21dedc3f4d
1,461
py
Python
align_rudder/envs/utils.py
ml-jku/align-rudder
26cf4b62a713e180063cefc2921981484ebb9165
[ "MIT" ]
12
2020-09-30T08:15:44.000Z
2021-12-22T03:36:33.000Z
align_rudder/envs/utils.py
ml-jku/align-rudder
26cf4b62a713e180063cefc2921981484ebb9165
[ "MIT" ]
null
null
null
align_rudder/envs/utils.py
ml-jku/align-rudder
26cf4b62a713e180063cefc2921981484ebb9165
[ "MIT" ]
1
2020-12-09T21:33:28.000Z
2020-12-09T21:33:28.000Z
import numpy as np class Utils: @staticmethod def to_one_hot(a, len_): b = np.zeros((a.size, len_)) b[np.arange(a.size), a] = 1 return b @staticmethod def to_one_hot_obs(obs, len_): return np.array([Utils.to_one_hot(np.array(x), len_) for x in obs]).reshape(-1, len_ * ...
26.089286
97
0.57974
239
1,461
3.280335
0.154812
0.076531
0.122449
0.204082
0.73852
0.73852
0.727041
0.658163
0.658163
0.658163
0
0.023697
0.277892
1,461
55
98
26.563636
0.719431
0
0
0.682927
0
0
0
0
0
0
0
0
0
1
0.243902
false
0
0.02439
0.146341
0.560976
0
0
0
0
null
0
0
1
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
7
cbb2b26da682b7d50be415dbdc32907ea48f0164
8,021
py
Python
knrm.py
YuanyuanQi/CGTR
363d96842a23016aaad5254074b10ecea91bf475
[ "MIT" ]
null
null
null
knrm.py
YuanyuanQi/CGTR
363d96842a23016aaad5254074b10ecea91bf475
[ "MIT" ]
null
null
null
knrm.py
YuanyuanQi/CGTR
363d96842a23016aaad5254074b10ecea91bf475
[ "MIT" ]
null
null
null
import os '''os.environ["CUDA_VISIBLE_DEVICES"] = "1,0" for item in [1,2,3,4,5]: os.system("python train.py --model bert_knrm --datafiles data/robust/queries.tsv data/robust/documents.stem.sw.tsv --qrels data/robust/qrels --train_pairs data/robust/f{0}.train.pairs --valid_run data/robust/f{1}.valid.run --mod...
104.168831
412
0.734322
1,333
8,021
4.327832
0.070518
0.164673
0.072456
0.08563
0.943491
0.934651
0.920784
0.91281
0.899289
0.892529
0
0.070664
0.091385
8,021
76
413
105.539474
0.720911
0.158584
0
0
0
0.2
0.719758
0.368952
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.2
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
cbb8dc80c2308a98f5d5197aadea80711edf32b6
338
py
Python
linear_algebra_by_j_borwnlee/ch_07/vector_arithmetic.py
pavelexpertov/scribbles
50ebcd6a686fd32be20d401563db7cc87781a428
[ "MIT" ]
null
null
null
linear_algebra_by_j_borwnlee/ch_07/vector_arithmetic.py
pavelexpertov/scribbles
50ebcd6a686fd32be20d401563db7cc87781a428
[ "MIT" ]
null
null
null
linear_algebra_by_j_borwnlee/ch_07/vector_arithmetic.py
pavelexpertov/scribbles
50ebcd6a686fd32be20d401563db7cc87781a428
[ "MIT" ]
null
null
null
def add(l1, l2): return [x + y for x, y in zip(l1, l2)] def minus(l1, l2): return [x - y for x, y in zip(l1, l2)] def multiply(l1, l2): return [x * y for x, y in zip(l1, l2)] def divide(l1, l2): return [x / y for x, y in zip(l1, l2)] def dot_product(l1, l2): products = multiply(l1, l2) ret...
18.777778
42
0.571006
68
338
2.823529
0.25
0.208333
0.260417
0.229167
0.604167
0.604167
0.604167
0.604167
0.604167
0.604167
0
0.080972
0.269231
338
17
43
19.882353
0.696356
0
0
0
0
0
0
0
0
0
0
0
0
1
0.454545
false
0
0
0.363636
0.909091
0
0
0
0
null
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
7
1dff73c3014c6d29cac64be101db79118171969a
915
py
Python
colour_hdri/tonemapping/global_operators/__init__.py
colour-science/colour-hdri
3a97c4ad8bc328e2fffabf84ac8b56d795dbeb82
[ "BSD-3-Clause" ]
92
2015-09-19T22:11:15.000Z
2022-03-13T06:37:53.000Z
colour_hdri/tonemapping/global_operators/__init__.py
colour-science/colour-hdri
3a97c4ad8bc328e2fffabf84ac8b56d795dbeb82
[ "BSD-3-Clause" ]
24
2017-05-25T08:55:10.000Z
2022-03-30T18:26:43.000Z
colour_hdri/tonemapping/global_operators/__init__.py
colour-science/colour-hdri
3a97c4ad8bc328e2fffabf84ac8b56d795dbeb82
[ "BSD-3-Clause" ]
9
2016-01-18T17:29:51.000Z
2020-11-12T12:54:18.000Z
# -*- coding: utf-8 -*- from .operators import ( tonemapping_operator_simple, tonemapping_operator_normalisation, tonemapping_operator_gamma, tonemapping_operator_logarithmic, tonemapping_operator_exponential, tonemapping_operator_logarithmic_mapping, tonemapping_operator_exponentiation_mapping, to...
38.125
79
0.821858
77
915
9.090909
0.25974
0.597143
0.171429
0.102857
0.954286
0.954286
0.954286
0.954286
0.954286
0.954286
0
0.030864
0.114754
915
23
80
39.782609
0.833333
0.022951
0
0
0
0
0.401345
0.401345
0
0
0
0
0
1
0
false
0
0.05
0
0.05
0
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
3804a5675d3a303137a1b9189e165facab2709ca
34,388
py
Python
genomics_data_index/test/integration/storage/io/mutation/test_VariationFile.py
apetkau/genomics-data-index
d0cc119fd57b8cbd701affb1c84450cf7832fa01
[ "Apache-2.0" ]
12
2021-05-03T20:56:05.000Z
2022-01-04T14:52:19.000Z
genomics_data_index/test/integration/storage/io/mutation/test_VariationFile.py
apetkau/genomics-data-index
d0cc119fd57b8cbd701affb1c84450cf7832fa01
[ "Apache-2.0" ]
30
2021-04-26T23:03:40.000Z
2022-02-25T18:41:14.000Z
genomics_data_index/test/integration/storage/io/mutation/test_VariationFile.py
apetkau/genomics-data-index
d0cc119fd57b8cbd701affb1c84450cf7832fa01
[ "Apache-2.0" ]
null
null
null
import tempfile from pathlib import Path import pytest from genomics_data_index.storage.MaskedGenomicRegions import MaskedGenomicRegions from genomics_data_index.storage.io.mutation.SequenceFile import SequenceFile from genomics_data_index.storage.io.mutation.VariationFile import VariationFile from genomics_data_inde...
52.340944
120
0.656043
4,821
34,388
4.411948
0.064924
0.056276
0.053597
0.041467
0.874048
0.844429
0.81166
0.766902
0.741514
0.728209
0
0.077937
0.168315
34,388
656
121
52.420732
0.665769
0.018495
0
0.597586
0
0
0.262654
0.083262
0
0
0
0
0.428571
1
0.04829
false
0
0.024145
0.002012
0.074447
0.008048
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
7
380877c8ff4a71bf178da3cd1d696808024ca34b
128
py
Python
anvil/sub_rig_templates/biped_leg.py
AndresMWeber/Anvil
9cd202183ac998983c2bf6e55cc46bbc0ca1a78e
[ "Apache-2.0" ]
3
2019-11-22T04:38:06.000Z
2022-01-19T08:27:18.000Z
anvil/sub_rig_templates/biped_leg.py
AndresMWeber/Anvil
9cd202183ac998983c2bf6e55cc46bbc0ca1a78e
[ "Apache-2.0" ]
28
2018-02-01T20:39:42.000Z
2018-04-26T17:25:23.000Z
anvil/sub_rig_templates/biped_leg.py
AndresMWeber/Anvil
9cd202183ac998983c2bf6e55cc46bbc0ca1a78e
[ "Apache-2.0" ]
1
2018-03-11T06:47:26.000Z
2018-03-11T06:47:26.000Z
from limb import Limb class BipedLeg(Limb): BUILT_IN_META_DATA = Limb.BUILT_IN_META_DATA.merge({'name': 'leg'}, new=True)
21.333333
81
0.734375
21
128
4.190476
0.666667
0.204545
0.25
0.340909
0.431818
0
0
0
0
0
0
0
0.132813
128
5
82
25.6
0.792793
0
0
0
0
0
0.054688
0
0
0
0
0
0
1
0
false
0
0.333333
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
7
380e954db5d10829faf1e4c91d126ec2e099c3b3
40,282
py
Python
sdk/python/pulumi_aws_native/dynamodb/_inputs.py
pulumi/pulumi-aws-native
1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3
[ "Apache-2.0" ]
29
2021-09-30T19:32:07.000Z
2022-03-22T21:06:08.000Z
sdk/python/pulumi_aws_native/dynamodb/_inputs.py
pulumi/pulumi-aws-native
1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3
[ "Apache-2.0" ]
232
2021-09-30T19:26:26.000Z
2022-03-31T23:22:06.000Z
sdk/python/pulumi_aws_native/dynamodb/_inputs.py
pulumi/pulumi-aws-native
1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3
[ "Apache-2.0" ]
4
2021-11-10T19:42:01.000Z
2022-02-05T10:15:49.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __a...
39.453477
156
0.709175
4,361
40,282
6.208209
0.03967
0.110106
0.069144
0.050528
0.828618
0.775356
0.748541
0.70311
0.672342
0.62536
0
0.00003
0.18013
40,282
1,020
157
39.492157
0.819748
0.003997
0
0.668317
1
0
0.194516
0.121625
0
0
0
0
0
1
0.216584
false
0
0.006188
0.089109
0.350248
0
0
0
0
null
0
0
0
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
384a9e349e88c305a8a8ae1fc6d200c52d5864b0
1,395
py
Python
nautobot_ssot/migrations/0002_performance_metrics.py
smk4664/nautobot-plugin-ssot
7020d0d1910a09c408885bae9f9324fb91977928
[ "Apache-2.0" ]
9
2021-07-28T19:21:22.000Z
2022-02-16T10:00:36.000Z
nautobot_ssot/migrations/0002_performance_metrics.py
smk4664/nautobot-plugin-ssot
7020d0d1910a09c408885bae9f9324fb91977928
[ "Apache-2.0" ]
15
2021-11-10T07:18:59.000Z
2022-03-28T05:39:55.000Z
nautobot_ssot/migrations/0002_performance_metrics.py
smk4664/nautobot-plugin-ssot
7020d0d1910a09c408885bae9f9324fb91977928
[ "Apache-2.0" ]
6
2021-09-22T15:38:11.000Z
2022-03-15T14:46:14.000Z
# Generated by Django 3.1.13 on 2021-12-13 14:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("nautobot_ssot", "0001_initial"), ] operations = [ migrations.AddField( model_name="sync", name="diff_time", ...
28.469388
62
0.551254
135
1,395
5.562963
0.318519
0.08522
0.214381
0.251664
0.76032
0.76032
0.713715
0.713715
0.648469
0.648469
0
0.02139
0.329749
1,395
48
63
29.0625
0.781818
0.032975
0
0.666667
1
0
0.101708
0
0
0
0
0
0
1
0
false
0
0.02381
0
0.095238
0
0
0
0
null
0
1
1
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
698eaa6bca50ad74cb6cd234f3e80d030358b056
88
py
Python
03_Estrutura_de_Repeticao/06_imprime_vinte_numeros.py
gabrieldcpadilha/ListaDeExercicios-PythonBrasil
a92d477468bde5eac8987a26ea79af2ffeb6ad81
[ "MIT" ]
null
null
null
03_Estrutura_de_Repeticao/06_imprime_vinte_numeros.py
gabrieldcpadilha/ListaDeExercicios-PythonBrasil
a92d477468bde5eac8987a26ea79af2ffeb6ad81
[ "MIT" ]
10
2020-08-19T04:31:52.000Z
2020-09-21T22:48:29.000Z
03_Estrutura_de_Repeticao/06_imprime_vinte_numeros.py
gabrieldcpadilha/ListaDeExercicios-PythonBrasil
a92d477468bde5eac8987a26ea79af2ffeb6ad81
[ "MIT" ]
null
null
null
for n in range(1, 21): print(n) for n in range(1, 21): print(f"{n}", end=', ')
14.666667
27
0.5
18
88
2.444444
0.5
0.181818
0.272727
0.5
0.863636
0.863636
0.863636
0
0
0
0
0.092308
0.261364
88
5
28
17.6
0.584615
0
0
0.5
0
0
0.056818
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
1
0
0
null
0
1
1
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
8
69bf2c35ee78c064112da892785606d9cec29fd2
146
py
Python
panoptes/analysis/axes/all.py
oberlin/panoptes
67d451ea4ffc58c23b5f347bfa5609fa7f853b45
[ "BSD-3-Clause" ]
2
2017-07-24T05:11:59.000Z
2017-08-27T19:17:42.000Z
panoptes/analysis/axes/all.py
oberlin/panoptes
67d451ea4ffc58c23b5f347bfa5609fa7f853b45
[ "BSD-3-Clause" ]
null
null
null
panoptes/analysis/axes/all.py
oberlin/panoptes
67d451ea4ffc58c23b5f347bfa5609fa7f853b45
[ "BSD-3-Clause" ]
null
null
null
from panoptes.analysis.axes.x import applications, days, hours, workstations from panoptes.analysis.axes.y import app_use, avg_session, sessions
36.5
76
0.828767
21
146
5.666667
0.761905
0.201681
0.336134
0.403361
0
0
0
0
0
0
0
0
0.09589
146
3
77
48.666667
0.901515
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
69c5e31059156644a6fde78ba8bc910362beb4de
41
py
Python
to_classification.py
SkirOwen/aie
22c64983d53f193e70b045003cc872970ab56804
[ "MIT" ]
2
2021-03-24T04:02:32.000Z
2021-03-25T16:29:37.000Z
to_classification.py
SkirOwen/aie
22c64983d53f193e70b045003cc872970ab56804
[ "MIT" ]
2
2021-03-25T16:00:12.000Z
2021-04-01T00:40:26.000Z
to_classification.py
SkirOwen/aie
22c64983d53f193e70b045003cc872970ab56804
[ "MIT" ]
null
null
null
import numpy as np def n2a(): pass
6.833333
18
0.609756
7
41
3.571429
1
0
0
0
0
0
0
0
0
0
0
0.035714
0.317073
41
5
19
8.2
0.857143
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
true
0.333333
0.333333
0
0.666667
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
1
1
0
0
0
0
7
385e6bb9993041b8a045764572d82b7438e2b123
130
py
Python
src/test/test_todolist.py
eu-snehagupta/todolist
c476f35930cb58c182b8e771a347883a8623910f
[ "MIT" ]
null
null
null
src/test/test_todolist.py
eu-snehagupta/todolist
c476f35930cb58c182b8e771a347883a8623910f
[ "MIT" ]
7
2021-06-07T14:24:19.000Z
2021-06-14T14:05:13.000Z
src/test/test_todolist.py
eu-snehagupta/todolist
c476f35930cb58c182b8e771a347883a8623910f
[ "MIT" ]
null
null
null
import pytest from src.main import todolist def get_list_when_empty(): # tasklist = todolist.Todolist.get_list() pass
13
45
0.730769
18
130
5.055556
0.722222
0.153846
0
0
0
0
0
0
0
0
0
0
0.192308
130
9
46
14.444444
0.866667
0.3
0
0
0
0
0
0
0
0
0
0.111111
0
1
0.25
true
0.25
0.5
0
0.75
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
1
1
1
1
0
1
0
0
8
387a3d7f19c4aa2fd99e4f3c0db420c386b34b01
30,622
py
Python
faceplate_emulator/host/vwradio/tests/test_radios.py
mullets/vwradio
ac5e95579ac16389e59e8c1a45b41b5e0933cad4
[ "BSD-3-Clause" ]
45
2018-06-16T07:52:05.000Z
2022-03-08T15:55:02.000Z
faceplate_emulator/host/vwradio/tests/test_radios.py
matt2005/vwradio
ac5e95579ac16389e59e8c1a45b41b5e0933cad4
[ "BSD-3-Clause" ]
1
2018-03-28T17:13:53.000Z
2019-03-02T19:06:34.000Z
faceplate_emulator/host/vwradio/tests/test_radios.py
matt2005/vwradio
ac5e95579ac16389e59e8c1a45b41b5e0933cad4
[ "BSD-3-Clause" ]
8
2018-06-15T09:22:44.000Z
2021-09-23T20:16:54.000Z
import unittest from vwradio.radios import Radio from vwradio.constants import OperationModes, DisplayModes, TunerBands class TestRadio(unittest.TestCase): def test_safe_mode(self): values = ( # Premium 4 (b" 0000 ", 0, 0, OperationModes.SAFE_ENTRY), (b"1 1234...
38.087065
71
0.582555
3,430
30,622
5.014869
0.063557
0.143887
0.191849
0.139527
0.833789
0.807221
0.773153
0.740945
0.735015
0.730946
0
0.041449
0.326367
30,622
803
72
38.134496
0.792418
0.049605
0
0.577381
0
0
0.056088
0
0
0
0.001655
0
0.245536
1
0.068452
false
0
0.004464
0
0.074405
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
3882604e53e6064936b2cdae0370ecfe7ea5fcbe
21,333
py
Python
util/data/gen/GameAssembly.dll.py
56kyle/bloons_auto
419d55b51d1cddc49099593970adf1c67985b389
[ "MIT" ]
null
null
null
util/data/gen/GameAssembly.dll.py
56kyle/bloons_auto
419d55b51d1cddc49099593970adf1c67985b389
[ "MIT" ]
null
null
null
util/data/gen/GameAssembly.dll.py
56kyle/bloons_auto
419d55b51d1cddc49099593970adf1c67985b389
[ "MIT" ]
null
null
null
symbols = [] exports = [{'type': 'function', 'name': 'CloseZStream', 'address': '0x7ffaa6a3f0f0'}, {'type': 'function', 'name': 'CreateZStream', 'address': '0x7ffaa6a3f1a0'}, {'type': 'function', 'name': 'DllCanUnloadNow', 'address': '0x7ffaa6a1f2d0'}, {'type': 'function', 'name': 'DllGetActivationFactory', 'address': ...
10,666.5
21,320
0.707074
2,198
21,333
6.518653
0.199727
0.201005
0.268007
0.351619
0.528197
0.399777
0.130025
0.054299
0.007677
0
0
0.100608
0.067689
21,333
2
21,320
10,666.5
0.61979
0
0
0
0
0
0.706384
0.254992
0
0
0.157495
0
0
1
0
false
0
0
0
0
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
38b9b3560a1c59e5b6130170892ca5f275d8f483
29,150
py
Python
seqgra/learner/tensorflow/keraslearner.py
gifford-lab/seqgra
3c7547878ecda4c00572746b8a07e0d614c9dbef
[ "MIT" ]
null
null
null
seqgra/learner/tensorflow/keraslearner.py
gifford-lab/seqgra
3c7547878ecda4c00572746b8a07e0d614c9dbef
[ "MIT" ]
null
null
null
seqgra/learner/tensorflow/keraslearner.py
gifford-lab/seqgra
3c7547878ecda4c00572746b8a07e0d614c9dbef
[ "MIT" ]
2
2021-06-14T20:27:40.000Z
2021-06-14T20:29:29.000Z
"""MIT - CSAIL - Gifford Lab - seqgra TensorFlow Keras learners @author: Konstantin Krismer """ from distutils.util import strtobool from typing import Any, List, Optional import numpy as np import tensorflow as tf from seqgra import ModelSize from seqgra.learner import DNAMultiClassClassificationLearner from seqgr...
43.121302
81
0.591973
3,393
29,150
4.841733
0.04863
0.046749
0.024105
0.038958
0.949172
0.949172
0.949172
0.949172
0.949172
0.949172
0
0.003184
0.310429
29,150
675
82
43.185185
0.814089
0.01163
0
0.961326
0
0
0.063444
0.007223
0
0
0
0
0
1
0.139963
false
0
0.020258
0.036832
0.255985
0.014733
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
c7f9549e95823f0cbe72ff61ca903d6a0d6c6820
162
py
Python
src/utils/general_validation.py
BoaVaga/boavaga_server
7d25a68832d3b9f4f5666d0a3d55c99025498511
[ "MIT" ]
null
null
null
src/utils/general_validation.py
BoaVaga/boavaga_server
7d25a68832d3b9f4f5666d0a3d55c99025498511
[ "MIT" ]
null
null
null
src/utils/general_validation.py
BoaVaga/boavaga_server
7d25a68832d3b9f4f5666d0a3d55c99025498511
[ "MIT" ]
null
null
null
import re _REGEX_VALIDATE_TEL = re.compile(r'^\+?[0-9]{1,19}$') def validate_telefone(tel: str) -> bool: return _REGEX_VALIDATE_TEL.match(tel) is not None
20.25
53
0.703704
27
162
3.962963
0.740741
0.242991
0.299065
0
0
0
0
0
0
0
0
0.035714
0.135802
162
7
54
23.142857
0.728571
0
0
0
0
0
0.098765
0
0
0
0
0
0
1
0.25
false
0
0.25
0.25
0.75
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
7
2a009883358ef4f7b8a269b3e2fa367f463e7834
77
py
Python
themata/__init__.py
Thecarisma/themata
09a8ce670479ea4e9b5a26457f5cb290728f604a
[ "CC0-1.0" ]
2
2020-04-27T10:14:54.000Z
2020-04-28T01:24:59.000Z
themata/__init__.py
Thecarisma/themata
09a8ce670479ea4e9b5a26457f5cb290728f604a
[ "CC0-1.0" ]
28
2020-05-16T19:50:54.000Z
2021-12-02T07:38:03.000Z
themata/__init__.py
Thecarisma/themata
09a8ce670479ea4e9b5a26457f5cb290728f604a
[ "CC0-1.0" ]
null
null
null
import os def get_html_theme_path(): return os.path.dirname(__file__)
19.25
36
0.74026
12
77
4.166667
0.833333
0
0
0
0
0
0
0
0
0
0
0
0.168831
77
4
36
19.25
0.78125
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0.333333
1
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
1
1
0
0
7
aa7bd4f0e5ded6bb26301c1f01d5a48f4f082f1f
137
py
Python
database/seed/users.py
eddycheong/skeleton-flask-sqlalchemy
117e4cac0bf4d912f9546e2aeac77bccc2b7e3c0
[ "MIT" ]
null
null
null
database/seed/users.py
eddycheong/skeleton-flask-sqlalchemy
117e4cac0bf4d912f9546e2aeac77bccc2b7e3c0
[ "MIT" ]
null
null
null
database/seed/users.py
eddycheong/skeleton-flask-sqlalchemy
117e4cac0bf4d912f9546e2aeac77bccc2b7e3c0
[ "MIT" ]
null
null
null
from database.model import User def seed_users(): return [ User(name="seed_user_1"), User(name="seed_user_2"), ]
19.571429
33
0.613139
19
137
4.157895
0.631579
0.202532
0.303797
0.405063
0
0
0
0
0
0
0
0.019608
0.255474
137
7
34
19.571429
0.754902
0
0
0
0
0
0.15942
0
0
0
0
0
0
1
0.166667
true
0
0.166667
0.166667
0.5
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
1
0
0
0
7
aab9141ed7548918316b11d21e1c62648a531143
9,349
py
Python
tasks/LM/configs.py
omri123/rotational-unit-of-memory
e796c841e1e837df09497ba77c3bc285db47d02d
[ "MIT" ]
82
2019-04-18T19:32:03.000Z
2022-03-19T00:50:56.000Z
tasks/LM/configs.py
omri123/rotational-unit-of-memory
e796c841e1e837df09497ba77c3bc285db47d02d
[ "MIT" ]
4
2019-04-22T11:58:43.000Z
2020-05-31T01:43:03.000Z
tasks/LM/configs.py
omri123/rotational-unit-of-memory
e796c841e1e837df09497ba77c3bc285db47d02d
[ "MIT" ]
26
2019-04-22T11:21:42.000Z
2021-11-29T06:01:10.000Z
def get_config(model): if model == 'ptb_fs_rum_test': return ptb_fs_rum_test_config() if model == 'ptb_fs_rum': return ptb_fs_rum_config() elif model == 'ptb_fs_goru': return ptb_fs_goru_config() elif model == 'ptb_fs_eunn': return ptb_fs_eunn_config() elif model == '...
21.247727
52
0.61536
1,436
9,349
3.671309
0.066852
0.072838
0.02959
0.036419
0.902124
0.853945
0.802731
0.786229
0.786229
0.761191
0
0.098826
0.298642
9,349
439
53
21.296128
0.705201
0.021072
0
0.840731
0
0
0.040679
0.004961
0
0
0
0
0
1
0.002611
false
0
0
0
0.958225
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
8
2ab221161d835a6c1e55713f418809ebec49b5c5
78,437
py
Python
pysit/modeling/frequency_modeling.py
zfang-slim/PysitForPython3
dc60537b26018e28d92b7a956a2cf96775f0bdf9
[ "BSD-3-Clause" ]
null
null
null
pysit/modeling/frequency_modeling.py
zfang-slim/PysitForPython3
dc60537b26018e28d92b7a956a2cf96775f0bdf9
[ "BSD-3-Clause" ]
null
null
null
pysit/modeling/frequency_modeling.py
zfang-slim/PysitForPython3
dc60537b26018e28d92b7a956a2cf96775f0bdf9
[ "BSD-3-Clause" ]
1
2020-06-13T07:13:07.000Z
2020-06-13T07:13:07.000Z
import itertools from pysit.util.derivatives import build_derivative_matrix, build_permutation_matrix, build_heterogenous_matrices from pysit.solvers.model_parameter import * import sys import copy import numpy as np from numpy.random import uniform __all__ = ['FrequencyModeling'] __docformat__ = "restructuredtext ...
37.81919
210
0.595255
9,600
78,437
4.740104
0.063333
0.049929
0.038765
0.01635
0.903219
0.891419
0.87753
0.853994
0.84538
0.834568
0
0.019243
0.306348
78,437
2,073
211
37.837434
0.817122
0.320843
0
0.762048
0
0.002008
0.066614
0
0
0
0
0
0
1
0.019076
false
0
0.031125
0.002008
0.063253
0.022088
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
6331a05f39c0de1583407780f0d9ac4609563f18
11,735
py
Python
wolf/flows/macow.py
andrecianflone/wolf
826bbedc58d4d29871110349356868066a3108e6
[ "Apache-2.0" ]
75
2020-03-31T22:21:04.000Z
2022-03-20T10:58:17.000Z
wolf/flows/macow.py
andrecianflone/wolf
826bbedc58d4d29871110349356868066a3108e6
[ "Apache-2.0" ]
3
2021-02-03T07:07:14.000Z
2022-03-08T20:58:43.000Z
wolf/flows/macow.py
andrecianflone/wolf
826bbedc58d4d29871110349356868066a3108e6
[ "Apache-2.0" ]
10
2020-04-27T05:31:44.000Z
2021-11-21T14:11:16.000Z
__author__ = 'max' from overrides import overrides from typing import Dict, Tuple import torch import torch.nn as nn from wolf.flows.flow import Flow from wolf.flows.normalization import ActNorm2dFlow from wolf.flows.permutation import Conv1x1Flow from wolf.flows.couplings import NICE2d, MaskedConvFlow from wolf.flow...
46.752988
108
0.625735
1,413
11,735
4.985846
0.094126
0.140525
0.188219
0.121789
0.817459
0.782967
0.77885
0.733428
0.707026
0.692122
0
0.016304
0.278739
11,735
250
109
46.94
0.816044
0.027269
0
0.535135
0
0
0.012259
0
0
0
0
0
0.005405
1
0.059459
false
0
0.048649
0.005405
0.162162
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2d6b232504f384dc58e0fde159c4c49dd8bd23d1
30,667
py
Python
unopartylib/test/utxolocks_test.py
terhnt/unoparty-lib
f23bcfc91ac109dc8c248210229c253be7d405ed
[ "MIT" ]
null
null
null
unopartylib/test/utxolocks_test.py
terhnt/unoparty-lib
f23bcfc91ac109dc8c248210229c253be7d405ed
[ "MIT" ]
null
null
null
unopartylib/test/utxolocks_test.py
terhnt/unoparty-lib
f23bcfc91ac109dc8c248210229c253be7d405ed
[ "MIT" ]
null
null
null
#! /usr/bin/python3 import pytest import binascii from io import BytesIO import bitcoin import tempfile from unopartylib.test import conftest # this is require near the top to do setup of the test suite from unopartylib.test.util_test import CURR_DIR from unopartylib.lib import (transaction) from unopartylib.lib.mes...
369.481928
27,318
0.973848
384
30,667
77.598958
0.273438
0.001611
0.00443
0.003826
0.052655
0.052655
0.051715
0.04799
0.042922
0.042922
0
0.599993
0.014185
30,667
82
27,319
373.987805
0.385651
0.004174
0
0.320755
0
0
0.921779
0.920003
0
1
0
0
0.056604
1
0.075472
false
0
0.169811
0
0.264151
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
1
1
0
0
0
0
0
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
8
2dba028f15a26355a03fde0270efee77b963fbf2
739
py
Python
chap3/3-6.py
StewedChickenwithStats/Answers-to-Python-Crash-Course
9ffbe02abba5d111f702d920db7932303daf59d4
[ "MIT" ]
1
2022-02-21T07:05:48.000Z
2022-02-21T07:05:48.000Z
chap3/3-6.py
StewedChickenwithStats/Answers-to-Python-Crash-Course
9ffbe02abba5d111f702d920db7932303daf59d4
[ "MIT" ]
null
null
null
chap3/3-6.py
StewedChickenwithStats/Answers-to-Python-Crash-Course
9ffbe02abba5d111f702d920db7932303daf59d4
[ "MIT" ]
null
null
null
people=['mom','dad','sister'] print("Now there will be a larger dining-table.") people.insert(0,'brother') people.insert(2,'friend') people.append('teacher') print("Dear "+people[0]+", I'd like to invite you to have dinner with me on Friday at my home.") print("Dear "+people[1]+", I'd like to invite you to have dinner ...
67.181818
96
0.696888
144
739
3.576389
0.277778
0.104854
0.174757
0.093204
0.739806
0.739806
0.739806
0.739806
0.739806
0.739806
0
0.012759
0.151556
739
11
97
67.181818
0.808612
0
0
0
0
0
0.697297
0
0
0
0
0
0
1
0
false
0
0
0
0
0.636364
0
0
0
null
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
7
931d107109b34c70d04ad0ab51c5390610f0e179
153
py
Python
llvm/utils/lit/lit/LitFormats.py
clairechingching/ScaffCC
737ae90f85d9fe79819d66219747d27efa4fa5b9
[ "BSD-2-Clause" ]
2,151
2020-04-18T07:31:17.000Z
2022-03-31T08:39:18.000Z
llvm/utils/lit/lit/LitFormats.py
clairechingching/ScaffCC
737ae90f85d9fe79819d66219747d27efa4fa5b9
[ "BSD-2-Clause" ]
395
2020-04-18T08:22:18.000Z
2021-12-08T13:04:49.000Z
llvm/utils/lit/lit/LitFormats.py
clairechingching/ScaffCC
737ae90f85d9fe79819d66219747d27efa4fa5b9
[ "BSD-2-Clause" ]
338
2020-04-18T08:03:10.000Z
2022-03-29T12:33:22.000Z
from TestFormats import FileBasedTest from TestFormats import GoogleTest, ShTest, TclTest from TestFormats import SyntaxCheckTest, OneCommandPerFileTest
38.25
62
0.882353
15
153
9
0.6
0.333333
0.466667
0
0
0
0
0
0
0
0
0
0.098039
153
3
63
51
0.978261
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
93245be5d708a2647fdae572c9b153da1c48df99
4,783
py
Python
tests/python/test_ringbuf.py
yzhao1012/bcc
15340c44b98d8ee97a6dce775de614fd268cee13
[ "Apache-2.0" ]
7
2020-08-24T01:56:06.000Z
2022-02-26T15:49:44.000Z
tests/python/test_ringbuf.py
yzhao1012/bcc
15340c44b98d8ee97a6dce775de614fd268cee13
[ "Apache-2.0" ]
9
2021-07-29T21:15:28.000Z
2022-02-16T18:17:49.000Z
tests/python/test_ringbuf.py
yzhao1012/bcc
15340c44b98d8ee97a6dce775de614fd268cee13
[ "Apache-2.0" ]
8
2019-01-25T21:48:34.000Z
2022-03-15T16:21:50.000Z
#!/usr/bin/env python # Copyright (c) PLUMgrid, Inc. # Licensed under the Apache License, Version 2.0 (the "License") from bcc import BPF import os import ctypes as ct import random import time import subprocess from unittest import main, TestCase, skipUnless from utils import kernel_version_ge class TestRingbuf(Test...
30.081761
72
0.602133
627
4,783
4.354067
0.151515
0.048352
0.061538
0.052747
0.88022
0.872894
0.872894
0.872894
0.872894
0.872894
0
0.017041
0.263851
4,783
158
73
30.272152
0.758307
0.023416
0
0.832117
0
0
0.297129
0.088475
0
0
0
0
0.058394
1
0.058394
false
0
0.058394
0
0.19708
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
93453eddb88a7ed666a9350a363bc531cfe4670a
69,932
py
Python
infoblox_netmri/api/broker/v3_8_0/device_environment_monitor_broker.py
infobloxopen/infoblox_netmri
aa1c744df7e439dbe163bb9edd165e4e85a9771b
[ "Apache-2.0" ]
12
2016-02-19T12:37:54.000Z
2022-03-04T20:11:08.000Z
infoblox_netmri/api/broker/v3_8_0/device_environment_monitor_broker.py
azinfoblox/infoblox-netmri
02372c5231e2677ab6299cb659a73c9a41b4b0f4
[ "Apache-2.0" ]
18
2015-11-12T18:37:00.000Z
2021-05-19T07:59:55.000Z
infoblox_netmri/api/broker/v3_8_0/device_environment_monitor_broker.py
azinfoblox/infoblox-netmri
02372c5231e2677ab6299cb659a73c9a41b4b0f4
[ "Apache-2.0" ]
18
2016-01-07T12:04:34.000Z
2022-03-31T11:05:41.000Z
from ..broker import Broker class DeviceEnvironmentMonitorBroker(Broker): controller = "device_environment_monitors" def index(self, **kwargs): """Lists the available device environment monitors. Any of the inputs listed may be be used to narrow the list; other inputs will be ignored. Of the various ...
55.194949
773
0.62598
8,124
69,932
5.337765
0.037543
0.068259
0.044369
0.073056
0.95148
0.950604
0.918412
0.906143
0.896573
0.893921
0
0.004155
0.294457
69,932
1,266
774
55.238547
0.874726
0.829177
0
0
0
0
0.074899
0.027328
0
0
0
0
0
1
0.411765
false
0
0.058824
0
1
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
9
fa79e9dcf40af0a83a9acd7897863e5ff55fe079
1,169
py
Python
python/hetu/gpu_links/SamMaxLink.py
codecaution/Hetu
e278732c2fe3554c8d576585f5bcbf79ade31b68
[ "Apache-2.0" ]
null
null
null
python/hetu/gpu_links/SamMaxLink.py
codecaution/Hetu
e278732c2fe3554c8d576585f5bcbf79ade31b68
[ "Apache-2.0" ]
null
null
null
python/hetu/gpu_links/SamMaxLink.py
codecaution/Hetu
e278732c2fe3554c8d576585f5bcbf79ade31b68
[ "Apache-2.0" ]
3
2021-11-29T13:47:48.000Z
2022-03-03T02:00:43.000Z
from __future__ import absolute_import import ctypes from .._base import _LIB from .. import ndarray as _nd def sammax_link(in_mat, top1_group, topk_indice, out_mat, num_local_gpus, stream=None): assert isinstance(in_mat, _nd.NDArray) assert isinstance(top1_group, _nd.NDArray) assert isinstance(topk_indic...
46.76
162
0.71343
160
1,169
4.84375
0.225
0.185806
0.135484
0.225806
0.766452
0.766452
0.766452
0.766452
0.766452
0.766452
0
0.006472
0.207015
1,169
24
163
48.708333
0.829558
0
0
0.421053
0
0
0
0
0
0
0
0
0.473684
1
0.105263
false
0
0.210526
0
0.315789
0
0
0
0
null
0
0
1
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
7
35707622aa43bdf303238809cc191637a145ceca
4,056
py
Python
chord_rec/models/seq2seq/Seq2Seq.py
TianxueHu/ChordSymbolRec
d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac
[ "Unlicense", "MIT" ]
null
null
null
chord_rec/models/seq2seq/Seq2Seq.py
TianxueHu/ChordSymbolRec
d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac
[ "Unlicense", "MIT" ]
null
null
null
chord_rec/models/seq2seq/Seq2Seq.py
TianxueHu/ChordSymbolRec
d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac
[ "Unlicense", "MIT" ]
null
null
null
import random import torch import torch.nn as nn import torch.optim as optim class BaseSeq2Seq(nn.Module): """ The Sequence to Sequence model. """ def __init__(self, encoder, decoder, device): super().__init__() self.device = device self.encoder = encoder.to(device) self.deco...
36.872727
138
0.605523
517
4,056
4.597679
0.162476
0.040387
0.022718
0.037863
0.93395
0.93395
0.93395
0.93395
0.93395
0.93395
0
0.01115
0.292406
4,056
109
139
37.211009
0.817073
0.251479
0
0.862069
0
0
0.074227
0
0
0
0
0
0.068966
1
0.068966
false
0
0.068966
0
0.206897
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
358a5d02775541f8be8951352bd6bbea60ce714e
121
py
Python
ktrain/text/ner/__init__.py
Niekvdplas/ktrain
808a212a9b8ebddd4e2d75eaca2e54a7ea990b4e
[ "Apache-2.0" ]
null
null
null
ktrain/text/ner/__init__.py
Niekvdplas/ktrain
808a212a9b8ebddd4e2d75eaca2e54a7ea990b4e
[ "Apache-2.0" ]
null
null
null
ktrain/text/ner/__init__.py
Niekvdplas/ktrain
808a212a9b8ebddd4e2d75eaca2e54a7ea990b4e
[ "Apache-2.0" ]
null
null
null
from .data import entities_from_conll2003, entities_from_gmb from .models import print_sequence_taggers, sequence_tagger
40.333333
60
0.884298
17
121
5.882353
0.647059
0.24
0
0
0
0
0
0
0
0
0
0.036036
0.082645
121
2
61
60.5
0.864865
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0.5
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
1
0
7
35bf17164497091c3ba52580d494ce85ce0fef06
3,486
py
Python
crossword/tests/test_grid_undo_redo.py
philhanna/crossword
db05c8301bba8b1b5f31e059d2bba2c734b0d0c0
[ "MIT" ]
1
2020-06-30T06:22:31.000Z
2020-06-30T06:22:31.000Z
crossword/tests/test_grid_undo_redo.py
philhanna/crossword
db05c8301bba8b1b5f31e059d2bba2c734b0d0c0
[ "MIT" ]
145
2020-06-02T17:33:18.000Z
2020-08-25T03:25:40.000Z
crossword/tests/test_grid_undo_redo.py
philhanna/crossword
db05c8301bba8b1b5f31e059d2bba2c734b0d0c0
[ "MIT" ]
null
null
null
from unittest import TestCase from crossword import Grid class TestGridUndoRedo(TestCase): def test_undo_with_empty_stack(self): grid = Grid(5) grid.undo() self.assertListEqual([], grid.undo_stack) self.assertListEqual([], grid.redo_stack) pass def test_redo_with_emp...
38.733333
59
0.631096
497
3,486
4.209256
0.062374
0.329828
0.147228
0.200765
0.92782
0.919694
0.90392
0.876195
0.846558
0.846558
0
0.037394
0.225186
3,486
89
60
39.168539
0.737134
0
0
0.831169
0
0
0
0
0
0
0
0
0.649351
1
0.064935
false
0.025974
0.025974
0
0.103896
0
0
0
0
null
1
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
10
ea34631c3060db2ad16aa2888d898da8e44a3078
3,601
py
Python
jangl_webleads_inbound/verticals/health_insurance.py
jangl-platform/jangl-webleads-inbound
7ba7734c0614c946f52af23829b7c61ba4fa9460
[ "MIT" ]
1
2021-01-14T21:55:27.000Z
2021-01-14T21:55:27.000Z
jangl_webleads_inbound/verticals/health_insurance.py
jangl-platform/jangl-webleads-inbound
7ba7734c0614c946f52af23829b7c61ba4fa9460
[ "MIT" ]
1
2021-06-10T21:22:36.000Z
2021-06-10T21:22:36.000Z
jangl_webleads_inbound/verticals/health_insurance.py
jangl-platform/jangl-webleads-inbound
7ba7734c0614c946f52af23829b7c61ba4fa9460
[ "MIT" ]
null
null
null
from rest_framework import serializers allow_blank = {'default': '', 'initial': '', 'allow_blank': True} allow_null = {'default': None, 'initial': None, 'allow_null': True} empty_list = {'default': [], 'initial': [], 'many': True} class RelativeSerializer(serializers.Serializer): height = serializers.IntegerFiel...
51.442857
84
0.783394
357
3,601
7.666667
0.196078
0.07563
0.204604
0.233833
0.863719
0.833394
0.833394
0.833394
0.833394
0.812203
0
0.010028
0.113857
3,601
69
85
52.188406
0.847697
0
0
0.793103
0
0
0.018606
0
0
0
0
0
0
1
0
false
0
0.017241
0
0.948276
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
ea7fa36bd4b3d1d04f92039a39c92c6c8c915a72
18,584
py
Python
hovercraft/tests/test_position.py
royaso/hovercraft
2ca3e8cfd00f5e28077d37bf142e1efd55a63df3
[ "MIT" ]
null
null
null
hovercraft/tests/test_position.py
royaso/hovercraft
2ca3e8cfd00f5e28077d37bf142e1efd55a63df3
[ "MIT" ]
null
null
null
hovercraft/tests/test_position.py
royaso/hovercraft
2ca3e8cfd00f5e28077d37bf142e1efd55a63df3
[ "MIT" ]
null
null
null
import os import unittest from pkg_resources import resource_string from lxml import etree from hovercraft.parse import rst2xml, SlideMaker from hovercraft.position import gather_positions, calculate_positions, position_slides TEST_DATA = os.path.join(os.path.split(__file__)[0], 'test_data') def make_tree(file_name...
46.693467
99
0.455822
2,567
18,584
3.271134
0.082587
0.167917
0.226629
0.084316
0.781589
0.779802
0.76051
0.754674
0.743956
0.742408
0
0.08777
0.312742
18,584
397
100
46.811083
0.569684
0.078024
0
0.75
0
0
0.364993
0
0
0
0
0
0.021341
1
0.02439
false
0
0.018293
0
0.054878
0
0
0
0
null
0
1
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
576265c72506f0b10ca6c1c578362d47e884e43d
1,418
py
Python
rest/service/restapi.py
estuaryoss/estuary-agent
b8b4264a616be21c86458da75cf29d13a8fb263d
[ "Apache-2.0" ]
null
null
null
rest/service/restapi.py
estuaryoss/estuary-agent
b8b4264a616be21c86458da75cf29d13a8fb263d
[ "Apache-2.0" ]
null
null
null
rest/service/restapi.py
estuaryoss/estuary-agent
b8b4264a616be21c86458da75cf29d13a8fb263d
[ "Apache-2.0" ]
null
null
null
import requests class RestApi: def __init__(self, connection): """ REST API Service usually used for self calls """ self.conn = connection self.__timeout = 5 if not self.conn.get('timeout') else self.conn.get('timeout') def post(self, data, headers): url_format = f"{self.conn...
50.642857
126
0.635402
191
1,418
4.602094
0.193717
0.209329
0.275313
0.077361
0.779295
0.779295
0.779295
0.779295
0.779295
0.775882
0
0.000855
0.174894
1,418
27
127
52.518519
0.750427
0.03103
0
0.315789
0
0.210526
0.320644
0.298682
0
0
0
0
0
1
0.263158
false
0
0.052632
0
0.578947
0
0
0
0
null
1
1
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
10
aa2e9a7bae656c1aadea77715a5fbfdfe3c7a26f
18,797
py
Python
components/plots.py
koukyo1994/streamlit-audio
f9dd8e86b332e4425d964b59642e0b5eaf8e0c0a
[ "MIT" ]
5
2020-09-18T05:35:52.000Z
2022-02-28T02:29:15.000Z
components/plots.py
koukyo1994/streamlit-audio
f9dd8e86b332e4425d964b59642e0b5eaf8e0c0a
[ "MIT" ]
null
null
null
components/plots.py
koukyo1994/streamlit-audio
f9dd8e86b332e4425d964b59642e0b5eaf8e0c0a
[ "MIT" ]
1
2021-01-15T01:49:35.000Z
2021-01-15T01:49:35.000Z
import librosa import librosa.display as display import matplotlib.pyplot as plt import matplotlib.patches as patches import numpy as np import pandas as pd import streamlit as st def waveplot(y: np.ndarray, sr: int, processed=None, tp: pd.DataFrame=None, fp: pd.DataFrame=None): plot_wave = st.checkbox("Waveplot"...
37.973737
107
0.419854
1,809
18,797
4.180763
0.098397
0.04284
0.0357
0.0476
0.933756
0.924104
0.916171
0.902155
0.884437
0.884437
0
0.028651
0.483801
18,797
494
108
38.050607
0.750799
0.002022
0
0.910088
0
0
0.070221
0
0
0
0
0
0
1
0.013158
false
0
0.015351
0
0.032895
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
104e4c1bac71e2a3cfbdadaf2cd745ca07fae398
1,800
py
Python
traversal_tests.py
Sorrop/py-graph-algorithms
e688fba3dd8aa44bcd3a608625fdf71649b83920
[ "MIT" ]
5
2017-01-31T11:09:55.000Z
2022-03-16T15:38:54.000Z
traversal_tests.py
Sorrop/py-graph-algorithms
e688fba3dd8aa44bcd3a608625fdf71649b83920
[ "MIT" ]
null
null
null
traversal_tests.py
Sorrop/py-graph-algorithms
e688fba3dd8aa44bcd3a608625fdf71649b83920
[ "MIT" ]
6
2020-09-09T23:58:57.000Z
2021-10-16T18:49:02.000Z
import graph from depth_first_search import depth_first_search from breadth_first_search import breadth_first_search edges = [(0, 1), (0, 2), (0, 3), (1, 4), (1, 5), (2, 6), (2, 7), (3, 8), (3, 9), (4, 10), (4, 11)] G, _ = graph.create_graph(edges) start_vertex = G.get_vertex(0) breadth = breadth_fi...
33.333333
74
0.535
217
1,800
4.290323
0.193548
0.09667
0.068743
0.07304
0.807734
0.71536
0.71536
0.71536
0.71536
0.71536
0
0.022822
0.196667
1,800
53
75
33.962264
0.621024
0
0
0.711111
0
0
0.255867
0.103034
0
0
0
0
0
1
0
false
0
0.066667
0
0.066667
0.488889
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
8
10a4806044f0d753cfe47dd7983b3682eff504b2
97,171
py
Python
functions.py
FatinaBasmadji/space-robot-planar-case
c1cacba7ef2c2509a282577147cd90421f471360
[ "MIT" ]
null
null
null
functions.py
FatinaBasmadji/space-robot-planar-case
c1cacba7ef2c2509a282577147cd90421f471360
[ "MIT" ]
null
null
null
functions.py
FatinaBasmadji/space-robot-planar-case
c1cacba7ef2c2509a282577147cd90421f471360
[ "MIT" ]
null
null
null
#!/usr/bin/env python # coding: utf-8 # In[ ]: import numpy as np from math import cos, sin # In[ ]: # Space robot parameters pi = 3.14159 p1 = 0.3696 # manipulator mounting point in x axis p2 = 0.001279 # manipulator mounting point in y axis a1 = 0.1805 # center of mass of the first link a2 = 0.2000 #...
506.098958
25,146
0.562297
19,182
97,171
2.84548
0.009749
0.251292
0.378476
0.411784
0.962039
0.956213
0.953519
0.953116
0.950203
0.948958
0
0.120065
0.132416
97,171
191
25,147
508.748691
0.527377
0.007615
0
0
0
0
0
0
0
0
0
0
0
1
0.027211
false
0
0.013605
0
0.068027
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
11
52b2893d801640e5dcf82ab0cfc28d541ace2709
128
py
Python
scCloud/scCloud/annotate_cluster/__init__.py
broadinstitute/scRNA-Seq
03aafb92274a97f4d634ac9e42f0e0feca91ed98
[ "BSD-3-Clause" ]
12
2019-04-08T11:39:33.000Z
2022-02-22T02:50:27.000Z
scCloud/scCloud/annotate_cluster/__init__.py
broadinstitute/scRNA-Seq
03aafb92274a97f4d634ac9e42f0e0feca91ed98
[ "BSD-3-Clause" ]
null
null
null
scCloud/scCloud/annotate_cluster/__init__.py
broadinstitute/scRNA-Seq
03aafb92274a97f4d634ac9e42f0e0feca91ed98
[ "BSD-3-Clause" ]
3
2019-03-06T20:44:33.000Z
2020-02-17T13:43:46.000Z
from .annotate_cluster import annotate_clusters from .run_annotate_cluster import run_annotate_cluster, annotate_anndata_object
42.666667
79
0.90625
17
128
6.352941
0.470588
0.416667
0.388889
0
0
0
0
0
0
0
0
0
0.070313
128
2
80
64
0.907563
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
52b2f348984654cc44d1955932c22bfab70fad0f
20,091
py
Python
menu/functions.py
WillRazorFace/InstaMax
4ebb5ee5ad88c2e2a2283bcd13e264cc99513627
[ "Apache-2.0" ]
null
null
null
menu/functions.py
WillRazorFace/InstaMax
4ebb5ee5ad88c2e2a2283bcd13e264cc99513627
[ "Apache-2.0" ]
null
null
null
menu/functions.py
WillRazorFace/InstaMax
4ebb5ee5ad88c2e2a2283bcd13e264cc99513627
[ "Apache-2.0" ]
null
null
null
from core.instabot import Bot from os import system, path from .constants import CLEAR_CONSOLE_COMMAND, OPTIONS_FILE, DRIVER_MENU from time import sleep def configure() -> tuple: driver_options = {'1': 'chrome', '2': 'firefox', '3': 'safari'} system(CLEAR_CONSOLE_COMMAND) print('Enter your Instagram accou...
35.309315
207
0.498034
2,016
20,091
4.843254
0.078373
0.079885
0.126485
0.163867
0.834904
0.807251
0.799775
0.782978
0.769562
0.731872
0
0.00127
0.412075
20,091
568
208
35.371479
0.825347
0
0
0.818386
0
0.024664
0.222488
0.006819
0
0
0
0
0
1
0.024664
false
0.008969
0.008969
0
0.035874
0.210762
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
52e2c41544b3b3fc6a8b85c1092c82b5d2630833
11,234
py
Python
test/trace_processor/python/api_unittest.py
jumeder/perfetto
df3ae5e6f975204d2f35aeed61cbbd0746151d8e
[ "Apache-2.0" ]
1
2021-01-18T09:36:54.000Z
2021-01-18T09:36:54.000Z
test/trace_processor/python/api_unittest.py
jumeder/perfetto
df3ae5e6f975204d2f35aeed61cbbd0746151d8e
[ "Apache-2.0" ]
8
2020-12-04T22:03:54.000Z
2021-11-08T01:29:31.000Z
test/trace_processor/python/api_unittest.py
jumeder/perfetto
df3ae5e6f975204d2f35aeed61cbbd0746151d8e
[ "Apache-2.0" ]
3
2019-02-10T12:40:29.000Z
2022-01-24T09:16:29.000Z
#!/usr/bin/env python3 # Copyright (C) 2020 The Android Open Source Project # # 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 requ...
38.341297
80
0.692273
1,370
11,234
5.462774
0.140876
0.144308
0.097007
0.119722
0.876136
0.863709
0.863041
0.855024
0.849412
0.844869
0
0.015492
0.212836
11,234
292
81
38.472603
0.830827
0.205092
0
0.883838
0
0
0.032733
0
0
0
0
0
0.10101
1
0.070707
false
0.020202
0.015152
0
0.106061
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
eac51a0c4c0cf25512b41069a1a81d7bc1a8b83f
23,105
py
Python
sdk/python/pulumi_vault/aws/auth_backend_client.py
pulumi/pulumi-vault
1682875f4a5d7d508f36e166529ad2b8aec34090
[ "ECL-2.0", "Apache-2.0" ]
10
2019-10-07T17:44:18.000Z
2022-03-30T20:46:33.000Z
sdk/python/pulumi_vault/aws/auth_backend_client.py
pulumi/pulumi-vault
1682875f4a5d7d508f36e166529ad2b8aec34090
[ "ECL-2.0", "Apache-2.0" ]
79
2019-10-11T18:13:07.000Z
2022-03-31T21:09:41.000Z
sdk/python/pulumi_vault/aws/auth_backend_client.py
pulumi/pulumi-vault
1682875f4a5d7d508f36e166529ad2b8aec34090
[ "ECL-2.0", "Apache-2.0" ]
2
2019-10-28T10:08:40.000Z
2020-03-17T14:20:55.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
41.856884
134
0.634235
2,830
23,105
4.944523
0.061484
0.0849
0.106053
0.113199
0.880798
0.870864
0.865576
0.858501
0.851997
0.836204
0
0.002485
0.268513
23,105
551
135
41.932849
0.825454
0.320147
0
0.83391
1
0
0.098579
0.025882
0
0
0
0
0
1
0.16263
false
0.00346
0.017301
0
0.276817
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
eac974d88a94a374d3a16673bf0be5690fccfc38
1,050
py
Python
dt_stripe/managers.py
itsnamgyu/api-demo
ddf726928bd7f1021143c4dbb530e3017a3edda9
[ "MIT" ]
1
2019-06-02T08:20:38.000Z
2019-06-02T08:20:38.000Z
dt_stripe/managers.py
itsnamgyu/api-demo
ddf726928bd7f1021143c4dbb530e3017a3edda9
[ "MIT" ]
12
2019-07-21T18:40:35.000Z
2019-10-05T19:57:49.000Z
dt_stripe/managers.py
itsnamgyu/django-template
20f64974e0dda69cf8dcf0dac9e0a309f200fb61
[ "MIT" ]
null
null
null
from django.apps import apps from django.db import models class ServiceManager(models.Manager): def get_queryset(self): return super().get_queryset().filter(product_type="service") class GoodManager(models.Manager): def get_queryset(self): return super().get_queryset().filter(product_type="g...
30.882353
74
0.67619
111
1,050
6.189189
0.324324
0.128093
0.069869
0.082969
0.80786
0.80786
0.80786
0.80786
0.80786
0.80786
0
0
0.222857
1,050
33
75
31.818182
0.841912
0
0
0.36
0
0
0.050476
0
0
0
0
0
0
1
0.2
false
0
0.08
0.12
0.6
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
1
1
0
0
8
d8134620d1d4e2ae84dd1fde2b57220b82314f3a
120
py
Python
discord/state.py
kuzaku-developers/disnake
61cc1ad4c2bafd39726a1447c85f7e469e41af10
[ "MIT" ]
null
null
null
discord/state.py
kuzaku-developers/disnake
61cc1ad4c2bafd39726a1447c85f7e469e41af10
[ "MIT" ]
null
null
null
discord/state.py
kuzaku-developers/disnake
61cc1ad4c2bafd39726a1447c85f7e469e41af10
[ "MIT" ]
null
null
null
from disnake.state import * from disnake.state import __dict__ as __original_dict__ locals().update(__original_dict__)
24
55
0.833333
16
120
5.375
0.5625
0.255814
0.372093
0.511628
0
0
0
0
0
0
0
0
0.1
120
4
56
30
0.796296
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.666667
0
0.666667
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
dc5c8d18d6f732ec5d82ba0578235665dd684ccd
25,337
py
Python
util/data/gen/CRYPT32.dll.py
56kyle/bloons_auto
419d55b51d1cddc49099593970adf1c67985b389
[ "MIT" ]
null
null
null
util/data/gen/CRYPT32.dll.py
56kyle/bloons_auto
419d55b51d1cddc49099593970adf1c67985b389
[ "MIT" ]
null
null
null
util/data/gen/CRYPT32.dll.py
56kyle/bloons_auto
419d55b51d1cddc49099593970adf1c67985b389
[ "MIT" ]
null
null
null
symbols = [] exports = [{'type': 'function', 'name': 'CertAddCRLContextToStore', 'address': '0x7ffb3be3ff70'}, {'type': 'function', 'name': 'CertAddCRLLinkToStore', 'address': '0x7ffb3be3fff0'}, {'type': 'function', 'name': 'CertAddCTLContextToStore', 'address': '0x7ffb3be3ff70'}, {'type': 'function', 'name': 'CertAddC...
12,668.5
25,324
0.700004
1,804
25,337
9.803769
0.316519
0.198123
0.264164
0.048061
0.065136
0.010743
0
0
0
0
0
0.080997
0.069306
25,337
2
25,324
12,668.5
0.669013
0
0
0
0
0
0.699424
0.202542
0
0
0.161339
0
0
1
0
false
0.5
0.5
0
0.5
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
1
1
0
0
0
0
7
f4a1080d5af6bc7222a6f5cdd899b208f6afdf45
3,434
py
Python
python/tests/test_cg.py
Dareen/pubnub-python
713e98b53f6623a8abca2cee8a47fd92ceb7a75b
[ "MIT" ]
null
null
null
python/tests/test_cg.py
Dareen/pubnub-python
713e98b53f6623a8abca2cee8a47fd92ceb7a75b
[ "MIT" ]
null
null
null
python/tests/test_cg.py
Dareen/pubnub-python
713e98b53f6623a8abca2cee8a47fd92ceb7a75b
[ "MIT" ]
1
2019-09-10T04:07:35.000Z
2019-09-10T04:07:35.000Z
from pubnub import Pubnub import time import random pubnub = Pubnub("demo","demo") pubnub.set_u(True) def rand_str(s): return str(s) + '-' + str(random.randint(1, 100000000000)) def test_1(): channel = rand_str('channel') channel2 = rand_str('channel') channel_group = rand_str('group') channel_group2 = ...
31.796296
109
0.717822
436
3,434
5.463303
0.100917
0.176322
0.11419
0.147775
0.857263
0.845508
0.832914
0.832914
0.782116
0.754828
0
0.019765
0.130751
3,434
107
110
32.093458
0.778224
0
0
0.657895
0
0
0.132653
0
0
0
0
0
0.539474
0
null
null
0
0.039474
null
null
0.078947
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
1
0
0
0
0
0
0
0
0
8
f4a68715c22c7dd76533253c3f022db9360c134f
107
py
Python
car_core/scripts/car_core/common/__init__.py
vstucar/vstucar
46ba2aebed1d9bd76a66db06af2bd8a4384b403d
[ "MIT" ]
null
null
null
car_core/scripts/car_core/common/__init__.py
vstucar/vstucar
46ba2aebed1d9bd76a66db06af2bd8a4384b403d
[ "MIT" ]
null
null
null
car_core/scripts/car_core/common/__init__.py
vstucar/vstucar
46ba2aebed1d9bd76a66db06af2bd8a4384b403d
[ "MIT" ]
null
null
null
from . import geom_helpers, msgs_helpers, rviz_helpers __all__ = [geom_helpers, msgs_helpers, rviz_helpers]
53.5
54
0.831776
15
107
5.266667
0.466667
0.278481
0.379747
0.556962
0.835443
0.835443
0
0
0
0
0
0
0.093458
107
2
55
53.5
0.814433
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.5
0
0.5
0
1
0
0
null
1
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
8
f4c73420df0ffa6198882fd80815c6501c2d5a11
104
py
Python
serializers/templates/__init__.py
d0cd/vectre-x86-disasm
098a2a67c8d588d9960150a6eda538f42694548b
[ "MIT" ]
null
null
null
serializers/templates/__init__.py
d0cd/vectre-x86-disasm
098a2a67c8d588d9960150a6eda538f42694548b
[ "MIT" ]
null
null
null
serializers/templates/__init__.py
d0cd/vectre-x86-disasm
098a2a67c8d588d9960150a6eda538f42694548b
[ "MIT" ]
null
null
null
from .prog_def_template import * from .platform_def_template import * from .inst_def_template import *
20.8
36
0.817308
15
104
5.266667
0.466667
0.417722
0.64557
0.531646
0
0
0
0
0
0
0
0
0.125
104
4
37
26
0.868132
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
f4f1f45161e522773f69331441d95190bb58bd7c
2,893
py
Python
pyaz/afd/secret/__init__.py
py-az-cli/py-az-cli
9a7dc44e360c096a5a2f15595353e9dad88a9792
[ "MIT" ]
null
null
null
pyaz/afd/secret/__init__.py
py-az-cli/py-az-cli
9a7dc44e360c096a5a2f15595353e9dad88a9792
[ "MIT" ]
null
null
null
pyaz/afd/secret/__init__.py
py-az-cli/py-az-cli
9a7dc44e360c096a5a2f15595353e9dad88a9792
[ "MIT" ]
1
2022-02-03T09:12:01.000Z
2022-02-03T09:12:01.000Z
''' Manage secrets within the specified profile. ''' from ... pyaz_utils import _call_az def show(profile_name, resource_group, secret_name): ''' Required Parameters: - profile_name -- Name of the CDN profile which is unique within the resource group. - resource_group -- Name of resource group. Y...
37.571429
128
0.711718
393
2,893
5.094148
0.16285
0.12987
0.044955
0.058442
0.865634
0.865634
0.797203
0.76024
0.714286
0.671329
0
0
0.204978
2,893
76
129
38.065789
0.870435
0.675769
0
0
0
0
0.131148
0
0
0
0
0
0
1
0.454545
false
0
0.090909
0
1
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
8
7625226fe17a880b6f098a1fe26757979e4659cb
1,975
py
Python
tests/test_pykdebugparser.py
matan1008/pykdebugparser
e219c2434d012b935ee25f75571647aaed1a4dda
[ "MIT" ]
10
2021-06-17T14:07:38.000Z
2021-12-09T18:33:48.000Z
tests/test_pykdebugparser.py
matan1008/pykdebugparser
e219c2434d012b935ee25f75571647aaed1a4dda
[ "MIT" ]
null
null
null
tests/test_pykdebugparser.py
matan1008/pykdebugparser
e219c2434d012b935ee25f75571647aaed1a4dda
[ "MIT" ]
3
2021-06-22T13:01:59.000Z
2021-06-27T03:35:04.000Z
from io import BytesIO from pykdebugparser.kd_buf_parser import RAW_VERSION2_BYTES from pykdebugparser.kevent import Kevent from pykdebugparser.pykdebugparser import PyKdebugParser def test_kevents(): events_buf = RAW_VERSION2_BYTES + b'\x00' * 0x11c events_buf += (b'\xa50\x147_\x06\x00\x00\x00\x00\x00\x00\x...
49.375
109
0.652152
318
1,975
3.971698
0.154088
0.655582
0.869359
1.007126
0.81631
0.81631
0.81631
0.81631
0.81631
0.77593
0
0.284295
0.184304
1,975
39
110
50.641026
0.49969
0
0
0.676471
0
0.294118
0.375696
0.371646
0
0
0.005063
0
0.088235
1
0.058824
false
0
0.117647
0
0.176471
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
12