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
a310360f9994b9d898a30fcbc8f3e5ffd70919a6
178
py
Python
scenario/blackjack/cards_deck/__init__.py
tomasruizt/Reinforcement-Learning-Scenarios
660175318bbecc7de51596740ddc5aa7ab993595
[ "Apache-2.0" ]
null
null
null
scenario/blackjack/cards_deck/__init__.py
tomasruizt/Reinforcement-Learning-Scenarios
660175318bbecc7de51596740ddc5aa7ab993595
[ "Apache-2.0" ]
null
null
null
scenario/blackjack/cards_deck/__init__.py
tomasruizt/Reinforcement-Learning-Scenarios
660175318bbecc7de51596740ddc5aa7ab993595
[ "Apache-2.0" ]
null
null
null
from scenario.blackjack.cards_deck.card import Card from scenario.blackjack.cards_deck.hand import Hand from scenario.blackjack.cards_deck.poker_cards_deck import PokerCardsDeck
44.5
73
0.882022
26
178
5.846154
0.384615
0.236842
0.414474
0.513158
0.592105
0
0
0
0
0
0
0
0.067416
178
3
74
59.333333
0.915663
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
a351cfd92f9585e3cf4eeabff9251c58e587a911
17,934
py
Python
pytpp/api/websdk/endpoints/metadata.py
Venafi/pytpp
42af655b2403b8c9447c86962abd4aaa0201f646
[ "MIT" ]
4
2022-02-04T23:58:55.000Z
2022-02-15T18:53:08.000Z
pytpp/api/websdk/endpoints/metadata.py
Venafi/pytpp
42af655b2403b8c9447c86962abd4aaa0201f646
[ "MIT" ]
null
null
null
pytpp/api/websdk/endpoints/metadata.py
Venafi/pytpp
42af655b2403b8c9447c86962abd4aaa0201f646
[ "MIT" ]
null
null
null
from typing import List from pytpp.api.api_base import API, APIResponse, api_response_property from pytpp.properties.response_objects.metadata import Metadata from pytpp.properties.response_objects.config import Config class _Metadata(API): def __init__(self, api_obj): super().__init__(api_obj=api_obj, u...
33.458955
97
0.513605
1,699
17,934
5.018835
0.047087
0.061921
0.111411
0.155154
0.815527
0.763457
0.763457
0.744811
0.738478
0.738478
0
0
0.386751
17,934
535
98
33.521495
0.775323
0
0
0.731415
0
0
0.043995
0.008085
0
0
0
0
0
1
0.242206
false
0
0.009592
0.117506
0.494005
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
1
0
0
0
1
0
0
0
9
a3a18d64b4778213ff2635c83bc539bc0eff8adf
45,300
py
Python
optimization.py
mcmahon-lab/error_mitigation_vqe
6507daa78dfab01cdc5932892e2305750595b60a
[ "CC-BY-4.0" ]
6
2021-06-23T17:25:57.000Z
2022-03-16T04:57:53.000Z
optimization.py
mcmahon-lab/error_mitigation_vqe
6507daa78dfab01cdc5932892e2305750595b60a
[ "CC-BY-4.0" ]
null
null
null
optimization.py
mcmahon-lab/error_mitigation_vqe
6507daa78dfab01cdc5932892e2305750595b60a
[ "CC-BY-4.0" ]
null
null
null
import numpy as np from copy import deepcopy from scipy.optimize import minimize import csv import os import re import os.path from os import path from math import isnan import time from library import * from datetime import datetime # if you use a gpu, change this to set which gpu you use global whichGPU whichGPU = ...
32.519742
276
0.680905
8,445
45,300
3.457075
0.039195
0.110293
0.043158
0.044597
0.885563
0.863744
0.844973
0.821853
0.803288
0.793252
0
0.027129
0.151302
45,300
1,392
277
32.543103
0.732248
0.051214
0
0.772358
0
0
0.046332
0.0306
0
0
0
0
0
1
0.030714
false
0.00271
0.023487
0
0.102078
0.009033
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
a3a2a824f056a27e0d57907e9e9ad8f94db25dd4
131
py
Python
rlgym/utils/reward_functions/common_rewards/__init__.py
Rolv-Arild/rocket-league-gym
f1200c161fdd4f720c52b0f962907298587102a5
[ "Apache-2.0" ]
63
2021-03-07T00:00:09.000Z
2022-03-27T16:11:26.000Z
rlgym/utils/reward_functions/common_rewards/__init__.py
Rolv-Arild/rocket-league-gym
f1200c161fdd4f720c52b0f962907298587102a5
[ "Apache-2.0" ]
21
2021-03-12T16:02:30.000Z
2022-03-29T01:59:32.000Z
rlgym/utils/reward_functions/common_rewards/__init__.py
Rolv-Arild/rocket-league-gym
f1200c161fdd4f720c52b0f962907298587102a5
[ "Apache-2.0" ]
23
2021-03-12T16:04:35.000Z
2022-03-28T15:49:24.000Z
from .ball_goal_rewards import * from .conditional_rewards import * from .misc_rewards import * from .player_ball_rewards import *
26.2
34
0.816794
18
131
5.611111
0.444444
0.514851
0.504951
0
0
0
0
0
0
0
0
0
0.122137
131
4
35
32.75
0.878261
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
6ed0d8d43166551421447915edcf0b873ed43a16
5,161
py
Python
test.py
philbarker/ocxmd
c6374a24e9616bed647020bb9cfebfe1794523b9
[ "Apache-2.0" ]
8
2019-01-26T17:39:18.000Z
2022-01-21T09:34:41.000Z
test.py
philbarker/ocxmd
c6374a24e9616bed647020bb9cfebfe1794523b9
[ "Apache-2.0" ]
4
2019-02-01T17:18:32.000Z
2019-08-16T14:03:23.000Z
test.py
philbarker/ocxmd
c6374a24e9616bed647020bb9cfebfe1794523b9
[ "Apache-2.0" ]
1
2020-02-20T14:11:33.000Z
2020-02-20T14:11:33.000Z
import markdown, pytest from ocxmd import OCXMetadata TESTINPUT_1_1 = """--- "@context": "http://schema.org/" "@id": "#lesson1" "@type": "CreativeWork" --- #YAML to JSON-LD test I started with some YAML and turned it into JSON-LD """ TESTINPUT_1_2 = """--- "@id": "#lesson1" "@type": "CreativeWork" --- #YAML to JSON-LD...
32.055901
395
0.591165
587
5,161
5.148211
0.120954
0.05096
0.078756
0.092654
0.915619
0.896095
0.896095
0.895764
0.864659
0.844474
0
0.022175
0.187367
5,161
160
396
32.25625
0.698379
0
0
0.613139
0
0.036496
0.64503
0.068398
0
0
0
0
0.058394
1
0.029197
false
0
0.014599
0
0.043796
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
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
42fda4f0bc95578e4d9d4e26c33b3502b39da8ff
46
pyw
Python
make_gui_exe/text2qti_tk.pyw
firasm/text2qti
588b54aab40df406a7ba24f93876d5db2c7a4757
[ "BSD-3-Clause" ]
98
2020-04-02T18:28:56.000Z
2022-03-23T23:23:26.000Z
make_gui_exe/text2qti_tk.pyw
firasm/text2qti
588b54aab40df406a7ba24f93876d5db2c7a4757
[ "BSD-3-Clause" ]
50
2020-04-25T02:09:09.000Z
2022-03-11T00:29:39.000Z
make_gui_exe/text2qti_tk.pyw
firasm/text2qti
588b54aab40df406a7ba24f93876d5db2c7a4757
[ "BSD-3-Clause" ]
35
2020-04-07T06:45:58.000Z
2022-01-02T10:45:51.000Z
import text2qti.gui.tk text2qti.gui.tk.main()
15.333333
22
0.782609
8
46
4.5
0.625
0.611111
0.722222
0
0
0
0
0
0
0
0
0.046512
0.065217
46
2
23
23
0.790698
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0
1
1
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
0
0
0
7
6e45756a8bd1da17ba6b4f096a69de3075d42b92
2,600
py
Python
AdventOfCode2016/Day8/Day8.py
MattTitmas/AdventOfCode
36be4f6bf973f77ff93b08dc69c977bb11951f27
[ "MIT" ]
null
null
null
AdventOfCode2016/Day8/Day8.py
MattTitmas/AdventOfCode
36be4f6bf973f77ff93b08dc69c977bb11951f27
[ "MIT" ]
null
null
null
AdventOfCode2016/Day8/Day8.py
MattTitmas/AdventOfCode
36be4f6bf973f77ff93b08dc69c977bb11951f27
[ "MIT" ]
null
null
null
def part1(): values = [i.split(" ") for i in open("input.txt").read().split("\n")] lights = [[False]*50 ,[False]*50,[False]*50,[False]*50,[False]*50,[False]*50] for command in values: if command[0] == "rect": length, height = (int(i) for i in command[1].split("x")) for i in ...
35.616438
81
0.46
333
2,600
3.57958
0.141141
0.040268
0.060403
0.11745
0.885906
0.855705
0.855705
0.855705
0.855705
0.855705
0
0.04911
0.373462
2,600
73
82
35.616438
0.682627
0
0
0.818182
0
0
0.041138
0
0
0
0
0
0
1
0.030303
false
0.030303
0
0
0.060606
0.045455
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
2883c403e81d4955bffeb33ffc1e00b4297b627f
6,416
py
Python
tests/full_wlm/test_generic_orc_launch_batch.py
MattToast/SmartSim
4bd5e231445abd9b888561930db859062708678a
[ "BSD-2-Clause" ]
null
null
null
tests/full_wlm/test_generic_orc_launch_batch.py
MattToast/SmartSim
4bd5e231445abd9b888561930db859062708678a
[ "BSD-2-Clause" ]
null
null
null
tests/full_wlm/test_generic_orc_launch_batch.py
MattToast/SmartSim
4bd5e231445abd9b888561930db859062708678a
[ "BSD-2-Clause" ]
null
null
null
import os.path as osp import time import pytest from smartsim import Experiment, status # retrieved from pytest fixtures if pytest.test_launcher not in pytest.wlm_options: pytestmark = pytest.mark.skip(reason="Not testing WLM integrations") def test_launch_orc_auto_batch(fileutils, wlmutils): """test singl...
36.248588
88
0.70293
913
6,416
4.738226
0.142388
0.049931
0.083218
0.087841
0.860379
0.83657
0.83657
0.814841
0.814841
0.814841
0
0.015202
0.200281
6,416
176
89
36.454545
0.827909
0.179551
0
0.75
0
0
0.071989
0.03542
0
0
0
0.005682
0.068966
1
0.034483
false
0
0.034483
0
0.068966
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
95964216fccf50a510ca018e7e742904c1ef2d4b
275,172
py
Python
final_code/cosy_utils.py
madokast/cctpy
b02c64220ea533a4fc9cad0b882d1be6edadf1c0
[ "MIT" ]
1
2021-12-27T13:20:43.000Z
2021-12-27T13:20:43.000Z
final_code/cosy_utils.py
madokast/cctpy
b02c64220ea533a4fc9cad0b882d1be6edadf1c0
[ "MIT" ]
null
null
null
final_code/cosy_utils.py
madokast/cctpy
b02c64220ea533a4fc9cad0b882d1be6edadf1c0
[ "MIT" ]
null
null
null
""" CCT 建模优化代码 COSY 扩展代码 作者:赵润晓 日期:2021年6月3日 """ import multiprocessing # 多线程计算 import time # 统计计算时长 from typing import Callable, Dict, Generic, Iterable, List, NoReturn, Optional, Tuple, TypeVar, Union import matplotlib.pyplot as plt import math import random # 随机数 import sys import os # 查看CPU核心数 import numpy fr...
73.184043
196
0.711493
50,002
275,172
3.909164
0.223391
0.375948
0.459492
0.322614
0.514749
0.500957
0.454519
0.323611
0.186805
0.184267
0
0.755554
0.160452
275,172
3,760
197
73.184043
0.090546
0.006232
0
0.040503
0
0.838547
0.955243
0.188415
0
0
0
0
0
1
0.002514
false
0
0.006704
0
0.014525
0.001955
0
0
0
null
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
95a1068fd47b73c0ea6441eef0e4f661f0778f44
459
py
Python
test/test_move_resource.py
MoveOnLibra/libra-core
3b04fd86d263a22e323cca873c13e6397a560f8b
[ "MIT" ]
5
2020-01-06T08:31:23.000Z
2020-10-17T19:24:30.000Z
test/test_move_resource.py
MoveOnLibra/libra-core
3b04fd86d263a22e323cca873c13e6397a560f8b
[ "MIT" ]
1
2020-04-08T10:35:48.000Z
2020-04-08T10:35:48.000Z
test/test_move_resource.py
MoveOnLibra/libra-core
3b04fd86d263a22e323cca873c13e6397a560f8b
[ "MIT" ]
1
2020-04-07T11:19:59.000Z
2020-04-07T11:19:59.000Z
from libra.move_resource import MoveResource from libra.libra_timestamp import * import pytest def test_move_resource(): assert LibraTimestampResource.struct_identifier() == LibraTimestampResource.STRUCT_NAME assert LibraTimestampResource.type_params() == [] assert LibraTimestampResource.struct_tag(...
45.9
92
0.810458
44
459
8.204545
0.431818
0.387812
0.282548
0.204986
0
0
0
0
0
0
0
0
0.117647
459
9
93
51
0.891358
0
0
0
0
0
0
0
0
0
0
0
0.5
1
0.125
true
0
0.375
0
0.5
0
0
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
1
0
0
1
0
1
0
0
0
0
7
95a4e3b4afc2442d1deaafbd510be38e658b3178
81
py
Python
tests/test_src.py
he0119/action-test
5e50ecb824cda6b5d81b67ea4ac3862aa236c355
[ "MIT" ]
1
2021-12-10T01:10:48.000Z
2021-12-10T01:10:48.000Z
tests/test_src.py
he0119/action-test
5e50ecb824cda6b5d81b67ea4ac3862aa236c355
[ "MIT" ]
23
2020-12-26T04:03:38.000Z
2022-03-29T14:22:29.000Z
tests/test_src.py
he0119/action-test
5e50ecb824cda6b5d81b67ea4ac3862aa236c355
[ "MIT" ]
null
null
null
from src import need_test def test_need_test(): assert need_test() is True
13.5
30
0.740741
14
81
4
0.642857
0.428571
0
0
0
0
0
0
0
0
0
0
0.197531
81
5
31
16.2
0.861538
0
0
0
0
0
0
0
0
0
0
0
0.333333
1
0.333333
true
0
0.333333
0
0.666667
0
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
1
1
0
1
0
1
0
0
7
250575e005e965609f685ee366b8660a2274ab10
4,868
py
Python
multiscale/msi/node_to_node.py
bowang-lab/gcn-drug-repurposing
acf6162d38528c76e5570d47a046c52c6e42624b
[ "MIT" ]
null
null
null
multiscale/msi/node_to_node.py
bowang-lab/gcn-drug-repurposing
acf6162d38528c76e5570d47a046c52c6e42624b
[ "MIT" ]
null
null
null
multiscale/msi/node_to_node.py
bowang-lab/gcn-drug-repurposing
acf6162d38528c76e5570d47a046c52c6e42624b
[ "MIT" ]
1
2021-12-02T23:43:21.000Z
2021-12-02T23:43:21.000Z
import pandas as pd import os import networkx as nx class DrugToIndication(): def __init__(self, directed, file_path, sep="\t"): self.file_path = file_path self.directed = directed self.sep = sep self.load() def load_df(self): df = pd.read_csv(self.file_path, sep=self....
32.671141
77
0.590592
608
4,868
4.524671
0.113487
0.043621
0.047256
0.043621
0.934206
0.934206
0.87968
0.87968
0.87968
0.87968
0
0.032835
0.299302
4,868
148
78
32.891892
0.773673
0.020748
0
0.887097
0
0
0.035684
0
0
0
0
0
0.096774
1
0.16129
false
0
0.024194
0
0.217742
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
251943d42599cc0b1b67fe6d8ed3b5cc9180aff6
10,740
py
Python
test/manual/test_popsize.py
kaspermunch/argweaver
7191343c1d43c02de04e4e0a150d77b0612728c6
[ "MIT" ]
31
2015-01-23T07:26:04.000Z
2022-03-23T04:46:42.000Z
test/manual/test_popsize.py
kaspermunch/argweaver
7191343c1d43c02de04e4e0a150d77b0612728c6
[ "MIT" ]
14
2015-06-21T07:09:18.000Z
2022-02-01T21:25:46.000Z
test/manual/test_popsize.py
kaspermunch/argweaver
7191343c1d43c02de04e4e0a150d77b0612728c6
[ "MIT" ]
7
2016-05-20T13:56:55.000Z
2021-05-28T14:01:41.000Z
import unittest, random import arghmm from rasmus.common import * from rasmus import stats, hmm from rasmus.testing import * from compbio import coal, arglib, fasta #============================================================================= def mle_popsize_coal_times(k, times, mintime): s = 0 i = k ...
32.059701
78
0.48352
1,303
10,740
3.882579
0.124328
0.049812
0.023127
0.030836
0.800751
0.793042
0.792449
0.77031
0.715754
0.685906
0
0.058362
0.382588
10,740
334
79
32.155689
0.704569
0.10121
0
0.656109
0
0
0.013746
0
0
0
0
0
0
0
null
null
0
0.027149
null
null
0.027149
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
1
0
0
0
0
0
0
0
0
7
255c96bfc06ed86d6d177261d55c0d0f5b5251ab
58
py
Python
tests/test_foo.py
pearlfranz20/AL_Core
6592079330c7ec3ca264b86f8414970ddab06c0e
[ "MIT" ]
10
2019-11-01T01:09:57.000Z
2022-02-17T09:15:12.000Z
tests/test_foo.py
pearlfranz20/AL_Core
6592079330c7ec3ca264b86f8414970ddab06c0e
[ "MIT" ]
40
2019-08-06T18:01:31.000Z
2021-07-15T12:38:56.000Z
tests/test_foo.py
pearlfranz20/AL_Core
6592079330c7ec3ca264b86f8414970ddab06c0e
[ "MIT" ]
6
2019-08-15T01:45:19.000Z
2021-06-01T19:54:29.000Z
from apprentice import * def test_placeholder(): pass
14.5
24
0.741379
7
58
6
1
0
0
0
0
0
0
0
0
0
0
0
0.189655
58
4
25
14.5
0.893617
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
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
1
1
0
1
0
0
7
c2771fa2c248ea3908cb93602bab68267e9af5a1
49
py
Python
src/game.py
half-potato/worldsim
248726f39f4c5ec0debf248bb5bcf5b27ff6fa76
[ "MIT" ]
null
null
null
src/game.py
half-potato/worldsim
248726f39f4c5ec0debf248bb5bcf5b27ff6fa76
[ "MIT" ]
1
2018-01-25T03:44:41.000Z
2018-01-25T08:09:21.000Z
src/game.py
half-potato/worldsim
248726f39f4c5ec0debf248bb5bcf5b27ff6fa76
[ "MIT" ]
2
2018-01-26T10:12:25.000Z
2020-10-29T21:24:21.000Z
world_time = 0 def time(): return world_time
12.25
21
0.693878
8
49
4
0.625
0.5625
0
0
0
0
0
0
0
0
0
0.026316
0.22449
49
3
22
16.333333
0.815789
0
0
0
0
0
0
0
0
0
0
0
0
1
0.333333
false
0
0
0.333333
0.666667
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
1
0
0
0
1
1
0
0
7
6c66e3e104023260b2e8399500e2f2e01d0e4984
200
py
Python
HAN/__init__.py
JasperHG90/PyTorch-HAN
6af2c9d01b2fa0cc16c31ac0a1f5d3887421a44e
[ "MIT" ]
1
2020-09-17T06:54:14.000Z
2020-09-17T06:54:14.000Z
HAN/__init__.py
JasperHG90/HAN.py
6af2c9d01b2fa0cc16c31ac0a1f5d3887421a44e
[ "MIT" ]
null
null
null
HAN/__init__.py
JasperHG90/HAN.py
6af2c9d01b2fa0cc16c31ac0a1f5d3887421a44e
[ "MIT" ]
null
null
null
from HAN.pytorch.model import HAN from HAN.utils.predict import predict_HAN from HAN.utils.train import train_HAN from HAN.utils.preprocess import Vectorizer from HAN.utils.preprocess import segmenter
40
43
0.855
32
200
5.28125
0.34375
0.207101
0.284024
0.266272
0.331361
0
0
0
0
0
0
0
0.095
200
5
44
40
0.933702
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
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
7
66636a261a617aee1eccef54d9484dbd34614c84
25,763
py
Python
mpf/tests/test_BallDeviceSwitchConfirmation.py
Scottacus64/mpf
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
[ "MIT" ]
163
2015-01-25T02:19:50.000Z
2022-03-26T12:00:28.000Z
mpf/tests/test_BallDeviceSwitchConfirmation.py
Scottacus64/mpf
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
[ "MIT" ]
1,086
2015-03-23T19:53:17.000Z
2022-03-24T20:46:11.000Z
mpf/tests/test_BallDeviceSwitchConfirmation.py
Scottacus64/mpf
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
[ "MIT" ]
148
2015-01-28T02:31:39.000Z
2022-03-22T13:54:01.000Z
from mpf.tests.MpfTestCase import MpfTestCase from unittest.mock import MagicMock class TestBallDeviceSwitchConfirmation(MpfTestCase): def __init__(self, test_map): super().__init__(test_map) self._captured = 0 self._enter = -1 self._missing = 0 self._requesting = 0 ...
38.683183
88
0.651244
3,073
25,763
5.213147
0.056622
0.118914
0.048689
0.058427
0.930462
0.919975
0.89819
0.886891
0.870225
0.836142
0
0.027554
0.259015
25,763
665
89
38.741353
0.811629
0.067772
0
0.88866
0
0
0.087047
0.039392
0
0
0
0.001504
0.449485
1
0.028866
false
0
0.004124
0.004124
0.039175
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
1
0
0
0
0
0
0
0
0
0
8
66ab0ecc2bd7e7fcbbbffc51c751372ae5c555db
120
py
Python
pycspr/serialisation/json/deploy/__init__.py
hboshnak/casper-python-sdk
19db9bf3b4720d5b4e133463e5a32fd64f1c33ed
[ "Apache-2.0" ]
null
null
null
pycspr/serialisation/json/deploy/__init__.py
hboshnak/casper-python-sdk
19db9bf3b4720d5b4e133463e5a32fd64f1c33ed
[ "Apache-2.0" ]
null
null
null
pycspr/serialisation/json/deploy/__init__.py
hboshnak/casper-python-sdk
19db9bf3b4720d5b4e133463e5a32fd64f1c33ed
[ "Apache-2.0" ]
null
null
null
from pycspr.serialisation.json.deploy.decoder import decode from pycspr.serialisation.json.deploy.encoder import encode
40
59
0.866667
16
120
6.5
0.625
0.192308
0.442308
0.519231
0.634615
0
0
0
0
0
0
0
0.066667
120
2
60
60
0.928571
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
66b917252d2082fd5ad755642f9eb67097330191
2,422
py
Python
tests/test_validation.py
kpdemetriou/newhope-cffi
f6e8c8cd1649ea2fbc1afff601e7aa9fce2e7a89
[ "BSD-3-Clause" ]
1
2021-08-04T18:32:45.000Z
2021-08-04T18:32:45.000Z
tests/test_validation.py
kpdemetriou/newhope-cffi
f6e8c8cd1649ea2fbc1afff601e7aa9fce2e7a89
[ "BSD-3-Clause" ]
null
null
null
tests/test_validation.py
kpdemetriou/newhope-cffi
f6e8c8cd1649ea2fbc1afff601e7aa9fce2e7a89
[ "BSD-3-Clause" ]
null
null
null
import pytest import newhope.cca import newhope.cpa @pytest.mark.parametrize("variant", [newhope.cca, newhope.cpa]) def test_encrypt_public_key_type(variant): pk, sk = variant.generate_keypair() with pytest.raises(TypeError): variant.encrypt("0" * len(pk)) @pytest.mark.parametrize("variant", [newho...
29.536585
63
0.71924
300
2,422
5.663333
0.106667
0.058858
0.111242
0.148323
0.956445
0.947028
0.947028
0.947028
0.937022
0.908181
0
0.004346
0.144922
2,422
81
64
29.901235
0.816031
0
0
0.648148
1
0
0.029728
0
0
0
0
0
0
1
0.166667
false
0
0.055556
0
0.222222
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
66ed6b9e3ac2b0921f982c43897623714cc35dde
121
py
Python
src/kaggle_web_traffic_forecasting/data_processing/__init__.py
DSmmartin/KaggleTimeSeries
54a6627487070b28b2eea4e27bcb35c48acedf19
[ "MIT" ]
null
null
null
src/kaggle_web_traffic_forecasting/data_processing/__init__.py
DSmmartin/KaggleTimeSeries
54a6627487070b28b2eea4e27bcb35c48acedf19
[ "MIT" ]
null
null
null
src/kaggle_web_traffic_forecasting/data_processing/__init__.py
DSmmartin/KaggleTimeSeries
54a6627487070b28b2eea4e27bcb35c48acedf19
[ "MIT" ]
null
null
null
""" Module to encapsulate data processing requieremnts """ from .dataset_train_transpose import dataset_train_transpose
24.2
60
0.834711
14
121
6.928571
0.785714
0.247423
0.43299
0
0
0
0
0
0
0
0
0
0.107438
121
4
61
30.25
0.898148
0.413223
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
dd4828866561d98a805fab89c485ac285146427a
8,153
py
Python
models/switchable_LIQ_wn_qsam.py
zhuang-group/SAQ
594e9c74944999766e119e7137f50583aeedf52b
[ "Apache-2.0" ]
22
2021-11-24T23:19:26.000Z
2022-03-10T12:08:32.000Z
models/switchable_LIQ_wn_qsam.py
zip-group/SAQ
594e9c74944999766e119e7137f50583aeedf52b
[ "Apache-2.0" ]
null
null
null
models/switchable_LIQ_wn_qsam.py
zip-group/SAQ
594e9c74944999766e119e7137f50583aeedf52b
[ "Apache-2.0" ]
4
2021-11-29T04:10:32.000Z
2021-12-03T03:08:19.000Z
import torch import torch.nn as nn from quan_models.LIQ import normalization_on_weights, quantization, quantize_activation from torch.nn import functional as F class SwitchableQConv2d(nn.Conv2d): """ custom convolutional layers for quantization with sam """ def __init__( self, ...
33.413934
88
0.54434
945
8,153
4.428571
0.111111
0.060215
0.066906
0.060215
0.864994
0.834887
0.834887
0.798566
0.798566
0.798566
0
0.018094
0.362811
8,153
243
89
33.55144
0.787488
0.01202
0
0.792627
0
0
0.034443
0.007069
0
0
0
0
0
1
0.064516
false
0
0.018433
0
0.147465
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
dd51ff26edcef7a5d2bcdc19b9c8d8d9bf0b7175
211
py
Python
utilities/strings.py
codeEmitter/token-hunter
46809c64074b68bb819ea50911bc65f246425106
[ "BSD-3-Clause" ]
35
2021-01-06T08:26:38.000Z
2022-01-18T21:18:46.000Z
utilities/strings.py
codeEmitter/token-hunter
46809c64074b68bb819ea50911bc65f246425106
[ "BSD-3-Clause" ]
null
null
null
utilities/strings.py
codeEmitter/token-hunter
46809c64074b68bb819ea50911bc65f246425106
[ "BSD-3-Clause" ]
13
2020-11-04T05:37:43.000Z
2022-01-12T10:22:59.000Z
from utilities import constants def truncate(target): return (target[:constants.Strings.max_string_length()] + "...") \ if len(target) > constants.Strings.max_string_length() \ else target
26.375
69
0.682464
24
211
5.833333
0.625
0.214286
0.314286
0.357143
0.528571
0.528571
0
0
0
0
0
0
0.189573
211
7
70
30.142857
0.818713
0
0
0
0
0
0.014218
0
0
0
0
0
0
1
0.2
false
0
0.2
0.2
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
0
0
0
1
1
0
0
7
dd59b5931e2a88699381bbc0c6d5c233ecbec835
48
py
Python
pysac/mhs_atmosphere/save_atmos/__init__.py
SolarDrew/pysac
9fd86dd03966b7e7f90653a47a2ccca7964c83bc
[ "BSD-2-Clause" ]
null
null
null
pysac/mhs_atmosphere/save_atmos/__init__.py
SolarDrew/pysac
9fd86dd03966b7e7f90653a47a2ccca7964c83bc
[ "BSD-2-Clause" ]
null
null
null
pysac/mhs_atmosphere/save_atmos/__init__.py
SolarDrew/pysac
9fd86dd03966b7e7f90653a47a2ccca7964c83bc
[ "BSD-2-Clause" ]
null
null
null
#from mhs_snapshot import * import mhs_snapshot
16
27
0.833333
7
48
5.428571
0.571429
0.578947
0
0
0
0
0
0
0
0
0
0
0.125
48
2
28
24
0.904762
0.541667
0
0
0
0
0
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
7c03563b23ef11d50ee88655b3e455b173fffa1f
42
py
Python
webapp/core/context_processors/__init__.py
PoCDAB/cfns-webapp
69637efa2046a04172898d3f41520e060efb77f5
[ "MIT" ]
null
null
null
webapp/core/context_processors/__init__.py
PoCDAB/cfns-webapp
69637efa2046a04172898d3f41520e060efb77f5
[ "MIT" ]
null
null
null
webapp/core/context_processors/__init__.py
PoCDAB/cfns-webapp
69637efa2046a04172898d3f41520e060efb77f5
[ "MIT" ]
null
null
null
from .header_context import header_context
42
42
0.904762
6
42
6
0.666667
0.722222
0
0
0
0
0
0
0
0
0
0
0.071429
42
1
42
42
0.923077
0
0
0
0
0
0
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
b04b4f98a1dfc99235097f1291e58404158498a5
4,019
py
Python
test/x86_64/encoding/test_mask.py
lemire/PeachPy
650a4d866bd67d007371effdc7c096788f0acf20
[ "BSD-2-Clause" ]
1
2016-01-13T20:41:42.000Z
2016-01-13T20:41:42.000Z
test/x86_64/encoding/test_mask.py
lemire/PeachPy
650a4d866bd67d007371effdc7c096788f0acf20
[ "BSD-2-Clause" ]
null
null
null
test/x86_64/encoding/test_mask.py
lemire/PeachPy
650a4d866bd67d007371effdc7c096788f0acf20
[ "BSD-2-Clause" ]
1
2019-04-20T12:55:12.000Z
2019-04-20T12:55:12.000Z
# This file is auto-generated by /codegen/x86_64_test_encoding.py # Reference opcodes are generated by: # GNU assembler (GNU Binutils) 2.25 from peachpy.x86_64 import * import unittest class TestKADDB(unittest.TestCase): def runTest(self): pass class TestKADDW(unittest.TestCase): def runTest(se...
15.223485
65
0.65887
438
4,019
6.03653
0.184932
0.308623
0.36649
0.501513
0.750378
0.750378
0.737519
0
0
0
0
0.003645
0.249067
4,019
263
66
15.281369
0.872432
0.034088
0
0.658065
1
0
0
0
0
0
0
0
0
1
0.329032
false
0.329032
0.012903
0
0.670968
0
0
0
0
null
1
1
1
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
1
0
1
0
0
1
0
0
9
c6b8c6b83a2e644e213e34c20a0f2192aabd005a
3,035
py
Python
edr/audiofeedback.py
blacksurgeon/edr
809b30a0247961f6b92a968696afa4383c867b5e
[ "Apache-2.0" ]
74
2018-01-30T10:44:20.000Z
2022-03-24T23:13:30.000Z
edr/audiofeedback.py
blacksurgeon/edr
809b30a0247961f6b92a968696afa4383c867b5e
[ "Apache-2.0" ]
329
2017-11-20T12:18:21.000Z
2022-03-31T22:21:49.000Z
edr/audiofeedback.py
blacksurgeon/edr
809b30a0247961f6b92a968696afa4383c867b5e
[ "Apache-2.0" ]
15
2018-02-08T09:22:46.000Z
2022-03-27T13:05:54.000Z
from __future__ import absolute_import from sys import platform import os.path import utils2to3 if platform == 'darwin': from AppKit import NSSound class AudioFeedback(object): def __init__(self): self.snd_warn = NSSound.alloc().initWithContentsOfFile_byReference_(utils2to3.abspathmake...
37.469136
155
0.674465
335
3,035
5.659701
0.116418
0.088608
0.237342
0.294304
0.811709
0.784283
0.778481
0.778481
0.772679
0.756329
0
0.01666
0.208896
3,035
80
156
37.9375
0.773011
0
0
0.653846
0
0
0.127842
0
0
0
0
0
0
1
0.288462
false
0
0.134615
0
0.480769
0
0
0
0
null
0
1
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
1
0
0
0
0
0
0
0
9
05c9071cf71c2364132fe0892d113f0b3bd9f5a7
86
py
Python
exercises/practice/prime-number/prime.py
exercism-bot/z3
5e32374acd1fa31f15919aa09880f04f1f17f975
[ "MIT" ]
6
2021-02-16T18:12:57.000Z
2021-03-18T16:44:26.000Z
exercises/practice/prime-number/prime.py
exercism-bot/z3
5e32374acd1fa31f15919aa09880f04f1f17f975
[ "MIT" ]
38
2021-02-16T15:17:49.000Z
2021-08-24T07:28:39.000Z
exercises/practice/prime-number/prime.py
exercism-bot/z3
5e32374acd1fa31f15919aa09880f04f1f17f975
[ "MIT" ]
7
2021-02-17T14:04:33.000Z
2021-06-01T08:16:50.000Z
from z3 import * def prime_number(x): # TODO: Write your code here pass
12.285714
32
0.616279
13
86
4
1
0
0
0
0
0
0
0
0
0
0
0.016949
0.313953
86
7
33
12.285714
0.864407
0.302326
0
0
0
0
0
0
0
0
0
0.142857
0
1
0.333333
false
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
1
0
1
1
0
1
0
0
7
af3c35622a8c302280352e599199c1ec78983300
264
py
Python
trimtuner/trimtuner/__init__.py
pedrogbmendes/TrimTuner
a9dec1f1ac610e6ec6d54cfaf5f9c93bc4f80f97
[ "MIT" ]
null
null
null
trimtuner/trimtuner/__init__.py
pedrogbmendes/TrimTuner
a9dec1f1ac610e6ec6d54cfaf5f9c93bc4f80f97
[ "MIT" ]
null
null
null
trimtuner/trimtuner/__init__.py
pedrogbmendes/TrimTuner
a9dec1f1ac610e6ec6d54cfaf5f9c93bc4f80f97
[ "MIT" ]
1
2021-03-11T14:46:24.000Z
2021-03-11T14:46:24.000Z
from .trimtuner import trimtuner from .incumbent_estimation import incumbent_estimation_cea from .incumbent_estimation import incumbent_estimation from .incumbent_estimation import incumbent_estimation_noconstraints from .initial_sampling import initial_sampling
37.714286
68
0.901515
30
264
7.6
0.3
0.5
0.302632
0.381579
0.631579
0.631579
0
0
0
0
0
0
0.079545
264
6
69
44
0.938272
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
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
7
af612954b17904d574cfb25d491c764c449f3de0
77
py
Python
www/apps/portal/views/__init__.py
un33k/outsourcefactor
c48dbd11b74ba5fb72b85f05c431a16287f62507
[ "MIT" ]
2
2018-12-23T04:14:32.000Z
2018-12-23T15:02:08.000Z
www/apps/portal/views/__init__.py
un33k/outsourcefactor
c48dbd11b74ba5fb72b85f05c431a16287f62507
[ "MIT" ]
null
null
null
www/apps/portal/views/__init__.py
un33k/outsourcefactor
c48dbd11b74ba5fb72b85f05c431a16287f62507
[ "MIT" ]
1
2019-11-17T19:53:07.000Z
2019-11-17T19:53:07.000Z
from talent_view import * from job_view import * from business_view import *
19.25
27
0.805195
12
77
4.916667
0.5
0.508475
0.474576
0
0
0
0
0
0
0
0
0
0.155844
77
3
28
25.666667
0.907692
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
af8241ae44753bdd4f39b693868628fad8c2d77c
42,734
py
Python
dashboard/cloop/utils.py
looptool/download
3f471e6c8ac2ad65d8659163a3f5e4fb36bdd093
[ "CC0-1.0" ]
9
2016-10-04T21:57:03.000Z
2019-10-07T15:01:39.000Z
dashboard/cloop/utils.py
looptool/download
3f471e6c8ac2ad65d8659163a3f5e4fb36bdd093
[ "CC0-1.0" ]
10
2016-07-21T09:26:31.000Z
2017-03-15T07:29:43.000Z
dashboard/cloop/utils.py
looptool/download
3f471e6c8ac2ad65d8659163a3f5e4fb36bdd093
[ "CC0-1.0" ]
3
2017-03-11T23:50:00.000Z
2018-03-05T20:02:02.000Z
""" Loop Dashboard utils Contains methods to process data for dashboards dynamically Todo: - Pandas has bug that is stopping the database from being connected to using a connection string from the settings.py file """ from django.db import connections from datetime import datetime, date, timedelta i...
48.950745
409
0.662751
6,226
42,734
4.372149
0.064247
0.045259
0.012343
0.010029
0.809265
0.794423
0.78568
0.773447
0.753169
0.727637
0
0.008642
0.203889
42,734
872
410
49.006881
0.791482
0.012075
0
0.676985
0
0.0821
0.3258
0.062723
0.001346
0
0
0.00344
0
0
null
null
0.002692
0.012113
null
null
0.004038
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
1
0
0
0
0
0
0
0
0
7
af838ba79021336d95ebcdf3796b45bbdae8a663
49,478
py
Python
utils/tests/test_outline_complete.py
rafsaf/Plemiona_Planer
1a0e2da0c4b18f1abd1df876f688c6442cba17ce
[ "Apache-2.0" ]
2
2020-11-15T12:50:07.000Z
2020-11-17T21:54:54.000Z
utils/tests/test_outline_complete.py
rafsaf/Plemiona_Planer
1a0e2da0c4b18f1abd1df876f688c6442cba17ce
[ "Apache-2.0" ]
21
2021-11-01T14:04:19.000Z
2022-03-25T06:31:03.000Z
utils/tests/test_outline_complete.py
rafsaf/Tribal-Wars-Planer
083af9b1efe814be3abe975b9ac8faccc00ebb09
[ "Apache-2.0" ]
null
null
null
# Copyright 2021 Rafał Safin (rafsaf). All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
46.854167
97
0.666862
6,428
49,478
5.011357
0.047293
0.298016
0.428895
0.12138
0.90569
0.873778
0.857449
0.815478
0.807842
0.804955
0
0.069893
0.202757
49,478
1,055
98
46.898578
0.746742
0.031529
0
0.77234
0
0
0.015121
0.000877
0
0
0
0
0.697872
1
0.02234
false
0
0.012766
0.001064
0.038298
0
0
0
0
null
1
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
1
0
0
0
0
0
0
0
0
0
10
bb84e919b80e3910f2e1c0fbb67610f9e8d0b9d2
8,241
py
Python
python/sklearn/linear-regression/back/extract_data.py
lijiansong/lang
e255709da2b12e09dea45f86d54f77a19b96f13b
[ "WTFPL" ]
1
2020-01-09T03:22:09.000Z
2020-01-09T03:22:09.000Z
python/sklearn/linear-regression/back/extract_data.py
lijiansong/lang
e255709da2b12e09dea45f86d54f77a19b96f13b
[ "WTFPL" ]
null
null
null
python/sklearn/linear-regression/back/extract_data.py
lijiansong/lang
e255709da2b12e09dea45f86d54f77a19b96f13b
[ "WTFPL" ]
null
null
null
#!/usr/bin/env python3 import sys import re import os import collections def extract_end2end_fps(end2end_file_path): file_reader = open(end2end_file_path, 'r') prefix = os.getcwd().split("/")[-2] file_writer = open(prefix + '-end2end_fps.txt', 'w') data_list = [] sparse_round_count = {} try: ...
41.832487
170
0.608421
1,130
8,241
4.099115
0.10531
0.094991
0.079447
0.043178
0.834629
0.788212
0.778066
0.767271
0.744603
0.744603
0
0.015923
0.268414
8,241
196
171
42.045918
0.752364
0.078874
0
0.729032
0
0
0.024732
0.003042
0
0
0
0
0
1
0.025806
false
0
0.025806
0
0.051613
0.109677
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
bbb68b7a72e84662300bafb2dad9de321d542a31
5,209
py
Python
List/LvupStats.py
1234567890num/KH2Randomizer
2722b2f8f324246300d9c16637243c942adf14d1
[ "Apache-2.0" ]
7
2021-09-04T03:04:16.000Z
2022-02-04T17:57:22.000Z
List/LvupStats.py
1234567890num/KH2Randomizer
2722b2f8f324246300d9c16637243c942adf14d1
[ "Apache-2.0" ]
48
2021-05-26T11:59:11.000Z
2022-03-30T01:59:23.000Z
List/LvupStats.py
1234567890num/KH2Randomizer
2722b2f8f324246300d9c16637243c942adf14d1
[ "Apache-2.0" ]
15
2021-04-10T18:31:47.000Z
2022-03-31T17:32:45.000Z
class Stats: def getLevelStats(): return [ "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str", "Str",...
17.900344
126
0.118065
222
5,209
2.77027
0.117117
0.585366
0.868293
1.144715
0.788618
0.788618
0.788618
0.788618
0.788618
0.788618
0
0.00466
0.711653
5,209
291
126
17.900344
0.404794
0.007295
0
0.975694
0
0
0.098453
0
0
0
0
0
0
1
0.010417
true
0
0
0.010417
0.024306
0
0
0
0
null
1
1
1
0
1
1
1
1
1
0
0
1
0
0
0
0
1
0
0
1
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
12
a5223ad5b0b8dc0ef1dbe9c526990796a322f233
3,526
py
Python
Python/markdownTableOfContents/test/test_markdown_toc.py
toddnguyen47/utility-files
de7d9839b5265c10d7ec017f8e08dfb8d6caac2a
[ "MIT" ]
null
null
null
Python/markdownTableOfContents/test/test_markdown_toc.py
toddnguyen47/utility-files
de7d9839b5265c10d7ec017f8e08dfb8d6caac2a
[ "MIT" ]
1
2021-04-20T22:01:09.000Z
2021-04-20T22:01:09.000Z
Python/markdownTableOfContents/test/test_markdown_toc.py
toddnguyen47/utility-files
de7d9839b5265c10d7ec017f8e08dfb8d6caac2a
[ "MIT" ]
1
2021-03-18T03:42:03.000Z
2021-03-18T03:42:03.000Z
import unittest import markdown_toc class TestMarkdownToc(unittest.TestCase): """ Unit test class. Run with the following command: `python -m unittest discover ./test/` """ def setUp(self) -> None: self.filepath = "test.md" self.markdown_toc_obj = markdown_toc.MarkdownToc(self.file...
51.101449
111
0.697107
456
3,526
5.019737
0.164474
0.177807
0.229358
0.275229
0.760157
0.750546
0.736566
0.734819
0.712538
0.674967
0
0.00561
0.191151
3,526
68
112
51.852941
0.796985
0.02439
0
0.545455
0
0.036364
0.205323
0.054109
0
0
0
0
0.345455
1
0.127273
false
0
0.036364
0
0.181818
0
0
0
0
null
0
1
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
0
0
0
0
0
0
0
0
0
0
7
a53077dccce47d64255d8325493c04c484ad64e6
116
py
Python
static/py/findPidName.py
jayhsieh/Django-based-stock-trading-platform
eefcfff8e895065345a7a2e73fb8722194f8339f
[ "MIT" ]
3
2019-10-26T05:10:23.000Z
2022-01-31T21:26:37.000Z
static/py/findPidName.py
ajmal017/Django-based-stock-trading-platform
eefcfff8e895065345a7a2e73fb8722194f8339f
[ "MIT" ]
null
null
null
static/py/findPidName.py
ajmal017/Django-based-stock-trading-platform
eefcfff8e895065345a7a2e73fb8722194f8339f
[ "MIT" ]
10
2020-01-18T13:33:14.000Z
2022-03-16T18:42:50.000Z
import os import psutil def find_procs_by_name(pid): p = psutil.Process(pid) find_procs_by_name(12988)
14.5
29
0.724138
19
116
4.105263
0.631579
0.230769
0.282051
0.384615
0
0
0
0
0
0
0
0.053763
0.198276
116
7
30
16.571429
0.784946
0
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0.4
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
0
0
1
0
1
0
0
7
a5861887ef775c7c8f1a3e7c26ce1c008f064ce5
183
py
Python
test.py
snyxan/ParlAI
521e893c2cbe50682d5f0db03f235787cc383d0f
[ "MIT" ]
1
2021-12-13T10:30:44.000Z
2021-12-13T10:30:44.000Z
test.py
snyxan/ParlAI
521e893c2cbe50682d5f0db03f235787cc383d0f
[ "MIT" ]
null
null
null
test.py
snyxan/ParlAI
521e893c2cbe50682d5f0db03f235787cc383d0f
[ "MIT" ]
null
null
null
print('aaa') print('adaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa11aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa')
61
169
0.945355
4
183
43.25
0.75
0
0
0
0
0
0
0
0
0
0
0.01105
0.010929
183
2
170
91.5
0.944751
0
0
0
0
0
0.89071
0.874317
0
1
0
0
0
1
0
true
0
0
0
0
1
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
null
1
0
0
0
0
0
1
0
0
0
0
1
0
8
3c0686a2b56f1750fcf9278e4a7915d9d4789160
278
py
Python
python/anyascii/_data/_11e.py
casept/anyascii
d4f426b91751254b68eaa84c6cd23099edd668e6
[ "ISC" ]
null
null
null
python/anyascii/_data/_11e.py
casept/anyascii
d4f426b91751254b68eaa84c6cd23099edd668e6
[ "ISC" ]
null
null
null
python/anyascii/_data/_11e.py
casept/anyascii
d4f426b91751254b68eaa84c6cd23099edd668e6
[ "ISC" ]
null
null
null
b=" k g ng p b m t d n c j ny y r l w s ' i u e o . *"
278
278
0.086331
22
278
1.090909
0.954545
0
0
0
0
0
0
0
0
0
0
0
0.892086
278
1
278
278
0.8
0
0
0
0
1
0.982079
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
1
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
3c0eb310236b04c490776b835a2124b615898e63
1,422
py
Python
tests/test_csr_utils.py
narges-rzv/csr_utils
9a643b4a7ab2ccc889664ea63e9bff764f8cbc8b
[ "MIT" ]
null
null
null
tests/test_csr_utils.py
narges-rzv/csr_utils
9a643b4a7ab2ccc889664ea63e9bff764f8cbc8b
[ "MIT" ]
null
null
null
tests/test_csr_utils.py
narges-rzv/csr_utils
9a643b4a7ab2ccc889664ea63e9bff764f8cbc8b
[ "MIT" ]
null
null
null
import pytest import csr_utils def test_csr_utils_import(): x = csr_utils.csr_matrix(csr_utils.np.array([[1, 0], [3, 0], [2, 2]], dtype=float)) assert len(x.shape) == 2 assert x.shape == (3,2) def test_csr_utils_normed_single_observation(): x = csr_utils.csr_matrix(csr_utils.np.array([[1, 0], [3, 0], ...
45.870968
98
0.680028
246
1,422
3.699187
0.142276
0.272527
0.208791
0.164835
0.889011
0.889011
0.83956
0.76044
0.76044
0.76044
0
0.053279
0.142053
1,422
30
99
47.4
0.692623
0
0
0.375
0
0
0
0
0
0
0
0
0.458333
1
0.166667
false
0
0.125
0
0.291667
0
0
0
0
null
1
1
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
1
0
0
0
0
0
0
0
0
0
10
3c69ac5bfc90fc24c04db9a82d85ecd3077b5088
6,890
py
Python
tests/integration/tree/test_covarying_evolutionary_rates_integration.py
yuzhenpeng/PhyKIT
167b9dfe0dd0bddd4b23492d9a3dc34e56debbd7
[ "MIT" ]
26
2020-10-28T10:33:33.000Z
2022-02-04T14:59:22.000Z
tests/integration/tree/test_covarying_evolutionary_rates_integration.py
yuzhenpeng/PhyKIT
167b9dfe0dd0bddd4b23492d9a3dc34e56debbd7
[ "MIT" ]
4
2021-03-28T22:05:39.000Z
2022-03-22T00:33:01.000Z
tests/integration/tree/test_covarying_evolutionary_rates_integration.py
JLSteenwyk/PhyKIT
0b3194d1bb5c189993b256fe96011cce48b9bbb4
[ "MIT" ]
4
2020-11-06T11:58:25.000Z
2021-08-17T16:57:51.000Z
import pytest import sys from math import isclose from mock import patch, call from pathlib import Path from textwrap import dedent from phykit.phykit import Phykit here = Path(__file__) @pytest.mark.integration class TestCovaryingEvolutionaryRates(object): @patch("builtins.print") def test_covarying_evolut...
37.650273
94
0.614078
827
6,890
4.859734
0.114873
0.179149
0.08211
0.126897
0.901468
0.898731
0.895745
0.895745
0.895745
0.870863
0
0.03711
0.260813
6,890
182
95
37.857143
0.752013
0
0
0.723926
0
0
0.348041
0.269521
0
0
0
0
0.09816
1
0.06135
false
0
0.042945
0
0.110429
0.147239
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
b1ecfaed956213cb559476669bc978d1f15c3ac4
9,149
py
Python
tests/test_series/test_get.py
bearsh/raccoon
bd7a59c3dcf7ad7b995194a4a49631759d9e565c
[ "MIT" ]
62
2016-07-11T01:23:15.000Z
2022-01-14T17:42:17.000Z
tests/test_series/test_get.py
bearsh/raccoon
bd7a59c3dcf7ad7b995194a4a49631759d9e565c
[ "MIT" ]
13
2016-07-11T01:24:02.000Z
2021-05-17T14:51:58.000Z
tests/test_series/test_get.py
bearsh/raccoon
bd7a59c3dcf7ad7b995194a4a49631759d9e565c
[ "MIT" ]
14
2017-03-22T17:23:02.000Z
2021-05-08T05:16:30.000Z
import pytest import raccoon as rc from raccoon.utils import assert_series_equal def test_get_cell(): actual = rc.Series([1, 2, 3], index=[10, 11, 13], sort=False) assert actual.get(10) == 1 assert actual.get(11) == 2 assert actual.get(13) == 3 # test items not in index raise errors with py...
35.324324
92
0.609575
1,556
9,149
3.442802
0.050771
0.095576
0.174538
0.179205
0.893971
0.846183
0.828635
0.790741
0.746127
0.711779
0
0.074879
0.185485
9,149
258
93
35.46124
0.643988
0.055416
0
0.339744
0
0
0.011136
0
0
0
0
0
0.551282
1
0.089744
false
0
0.019231
0
0.108974
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
1
0
0
0
0
0
0
0
0
0
8
594d3c9bd6b8ec63e69aca0d00761e2b0bc27d98
83
py
Python
camiseta/__init__.py
adrien4g/camiseta
c07a470de8a11705f63b0bb7df67f5df781b15a1
[ "MIT" ]
null
null
null
camiseta/__init__.py
adrien4g/camiseta
c07a470de8a11705f63b0bb7df67f5df781b15a1
[ "MIT" ]
null
null
null
camiseta/__init__.py
adrien4g/camiseta
c07a470de8a11705f63b0bb7df67f5df781b15a1
[ "MIT" ]
null
null
null
from camiseta.tag import * from camiseta.utils import * from camiseta.info import *
27.666667
28
0.795181
12
83
5.5
0.5
0.545455
0.545455
0
0
0
0
0
0
0
0
0
0.13253
83
3
29
27.666667
0.916667
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
3cbe34b8351829c7ae9cd837efaffc32facfcf8a
23,077
py
Python
eeauditor/auditors/aws/Amazon_Elasticache_Redis_Auditor.py
kbhagi/ElectricEye
31960e1e1cfb75c5d354844ea9e07d5295442823
[ "Apache-2.0" ]
442
2020-03-15T20:56:36.000Z
2022-03-31T22:13:07.000Z
eeauditor/auditors/aws/Amazon_Elasticache_Redis_Auditor.py
kbhagi/ElectricEye
31960e1e1cfb75c5d354844ea9e07d5295442823
[ "Apache-2.0" ]
57
2020-03-15T22:09:56.000Z
2022-03-31T13:17:06.000Z
eeauditor/auditors/aws/Amazon_Elasticache_Redis_Auditor.py
kbhagi/ElectricEye
31960e1e1cfb75c5d354844ea9e07d5295442823
[ "Apache-2.0" ]
59
2020-03-15T21:19:10.000Z
2022-03-31T15:01:31.000Z
#This file is part of ElectricEye. #SPDX-License-Identifier: Apache-2.0 #Licensed to the Apache Software Foundation (ASF) under one #or more contributor license agreements. See the NOTICE file #distributed with this work for additional information #regarding copyright ownership. The ASF licenses this file #to you un...
51.975225
216
0.461758
1,824
23,077
5.832237
0.143092
0.021433
0.032149
0.039293
0.899135
0.893025
0.892743
0.890299
0.879207
0.87413
0
0.050702
0.438489
23,077
444
217
51.975225
0.770258
0.0585
0
0.838308
0
0.032338
0.383878
0.065163
0
0
0
0
0
1
0.007463
false
0.014925
0.007463
0
0.014925
0.004975
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
a719cd95f8a7c4cbd9eb3b01b6aab05cc564f0f4
131
py
Python
pyaniml/utility/__init__.py
FAIRChemistry/pyAnIML
f324b13691514f1ea2972ca4a890a67fb4bef316
[ "MIT" ]
null
null
null
pyaniml/utility/__init__.py
FAIRChemistry/pyAnIML
f324b13691514f1ea2972ca4a890a67fb4bef316
[ "MIT" ]
3
2022-03-19T13:12:26.000Z
2022-03-20T19:25:52.000Z
pyaniml/utility/__init__.py
FAIRChemistry/pyAnIML
f324b13691514f1ea2972ca4a890a67fb4bef316
[ "MIT" ]
null
null
null
from pyaniml.utility.utils import attribute from pyaniml.utility.utils import element from pyaniml.utility.utils import SchemaBase
32.75
44
0.862595
18
131
6.277778
0.444444
0.292035
0.477876
0.610619
0.769912
0
0
0
0
0
0
0
0.091603
131
3
45
43.666667
0.94958
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
5959d372854096b787e072f74fc484e5364eac31
1,772
py
Python
tests/test_csv_formatter.py
nmrazvan/vaccinare-covid-api
aa7e4ecdb1c7cf5da2a80e89bd8f809b2b7b6557
[ "MIT" ]
5
2021-01-22T12:45:16.000Z
2021-03-12T07:03:44.000Z
tests/test_csv_formatter.py
nmrazvan/vaccinare-covid-api
aa7e4ecdb1c7cf5da2a80e89bd8f809b2b7b6557
[ "MIT" ]
1
2021-01-19T08:12:43.000Z
2021-01-19T11:26:04.000Z
tests/test_csv_formatter.py
nmrazvan/vaccinare-covid-api
aa7e4ecdb1c7cf5da2a80e89bd8f809b2b7b6557
[ "MIT" ]
1
2021-03-12T17:29:25.000Z
2021-03-12T17:29:25.000Z
from datetime import datetime from vaccinare_covid_api.formatters import CsvFormatter from io import StringIO def test_csv_formatter_with_simple_header(): s = StringIO() csv = CsvFormatter(s, {"centre.id": "ID", "slot.startTime.date": "Date"}) csv.start() csv.write({"id": 76}, {"startTime": datetime....
39.377778
103
0.613995
295
1,772
3.630508
0.169492
0.078431
0.065359
0.189542
0.888889
0.867414
0.824463
0.824463
0.824463
0.78338
0
0.120158
0.140519
1,772
44
104
40.272727
0.58306
0
0
0.705882
0
0.058824
0.326749
0.094244
0
0
0
0
0.088235
1
0.088235
false
0
0.088235
0
0.176471
0
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
59b88148137d8b2b10f751c53813640ff71ca31f
193
py
Python
mentoriacompartilhada/hello/models.py
mentoriacompartilhada/paulushcgcj-python-v0
e7ead91b063be4db7486c82bb33d0a1f2839fcee
[ "Apache-2.0" ]
null
null
null
mentoriacompartilhada/hello/models.py
mentoriacompartilhada/paulushcgcj-python-v0
e7ead91b063be4db7486c82bb33d0a1f2839fcee
[ "Apache-2.0" ]
null
null
null
mentoriacompartilhada/hello/models.py
mentoriacompartilhada/paulushcgcj-python-v0
e7ead91b063be4db7486c82bb33d0a1f2839fcee
[ "Apache-2.0" ]
null
null
null
from django.db import models class Pessoa(models.Model): nome = models.CharField(max_length=255) email = models.CharField(max_length=60) password = models.CharField(max_length=40)
27.571429
46
0.751295
27
193
5.259259
0.62963
0.316901
0.380282
0.507042
0
0
0
0
0
0
0
0.042424
0.145078
193
6
47
32.166667
0.818182
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0.2
0.2
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
1
0
0
1
0
0
7
59e30f9f959b2c66b401761370f2411c0209c528
175
py
Python
africanus/model/shape/__init__.py
JoshVStaden/codex-africanus
4a38994431d51510b1749fa0e4b8b6190b8b530f
[ "BSD-3-Clause" ]
13
2018-04-06T09:36:13.000Z
2021-04-13T13:11:00.000Z
africanus/model/shape/__init__.py
JoshVStaden/codex-africanus
4a38994431d51510b1749fa0e4b8b6190b8b530f
[ "BSD-3-Clause" ]
153
2018-03-28T14:13:48.000Z
2022-02-03T07:49:17.000Z
africanus/model/shape/__init__.py
JoshVStaden/codex-africanus
4a38994431d51510b1749fa0e4b8b6190b8b530f
[ "BSD-3-Clause" ]
14
2018-03-29T13:30:52.000Z
2021-06-12T02:56:55.000Z
__all__ = ["gaussian", "shapelet", "shapelet_1d"] from africanus.model.shape.gaussian_shape import gaussian from africanus.model.shape.shapelets import shapelet, shapelet_1d
35
65
0.811429
22
175
6.136364
0.454545
0.237037
0.266667
0.340741
0
0
0
0
0
0
0
0.0125
0.085714
175
4
66
43.75
0.83125
0
0
0
0
0
0.154286
0
0
0
0
0
0
1
0
false
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
0
0
1
0
1
0
0
7
f9f4ca1baf2499f3c5e5d70800f7df201fe8a71a
5,385
py
Python
support/generators/generate_vm_opcodes.py
Drarok/saffire
38315853acd87bf1ca7d150ab929f8b515b77a1c
[ "BSD-3-Clause" ]
24
2015-01-04T13:13:39.000Z
2022-02-08T12:18:35.000Z
support/generators/generate_vm_opcodes.py
Drarok/saffire
38315853acd87bf1ca7d150ab929f8b515b77a1c
[ "BSD-3-Clause" ]
56
2015-02-27T16:00:28.000Z
2019-09-17T08:55:01.000Z
support/generators/generate_vm_opcodes.py
Drarok/saffire
38315853acd87bf1ca7d150ab929f8b515b77a1c
[ "BSD-3-Clause" ]
8
2015-02-26T08:29:00.000Z
2019-08-22T16:36:48.000Z
""" This script creates a vmopcodes.h include file from our vm_codes template. This is needed because we need to have a few different kind of accessing the opcodes. Either by a define, or through an array (by hexidecimal code). """ import textwrap import sys import re # # Read opcodes # opcodes = {} for line in ope...
31.491228
114
0.723677
815
5,385
4.723926
0.274847
0.036364
0.016623
0.016364
0.79013
0.776364
0.767532
0.767532
0.753506
0.753506
0
0.010847
0.178273
5,385
170
115
31.676471
0.859209
0.016899
0
0.669565
0
0
0.720571
0.027348
0
0
0
0
0
0
null
null
0
0.026087
null
null
0.008696
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
1
0
0
0
0
0
0
0
0
7
e60e84c28bec7ba0fad6e17f061be225e0bd43d1
164
py
Python
tests/mdown/examples/header/header.py
looking-for-a-job/mdown.py
75733ceaf4c6970d0e631b6efdfcd422098cea65
[ "Unlicense" ]
1
2020-10-09T22:57:20.000Z
2020-10-09T22:57:20.000Z
tests/mdown/examples/header/header.py
looking-for-a-job/mdown.py
75733ceaf4c6970d0e631b6efdfcd422098cea65
[ "Unlicense" ]
null
null
null
tests/mdown/examples/header/header.py
looking-for-a-job/mdown.py
75733ceaf4c6970d0e631b6efdfcd422098cea65
[ "Unlicense" ]
null
null
null
#!/usr/bin/env python import mdown string = '# Title' assert string == mdown.header("Title", 1) string = '###### Title' assert string == mdown.header("Title", 6)
18.222222
41
0.646341
22
164
4.818182
0.545455
0.207547
0.320755
0.433962
0.735849
0.735849
0.735849
0
0
0
0
0.014286
0.146341
164
8
42
20.5
0.742857
0.121951
0
0
0
0
0.202797
0
0
0
0
0
0.4
1
0
false
0
0.2
0
0.2
0
1
0
0
null
1
1
1
0
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
0
0
7
e66151a042479f492d7a0194b8d1f09adf73bc33
161
py
Python
__tests__/__init__.py
brtkev/binance-wrapper
d32bb4d76fe189859dd0c5b1fa9d70ae769fa1c2
[ "MIT" ]
null
null
null
__tests__/__init__.py
brtkev/binance-wrapper
d32bb4d76fe189859dd0c5b1fa9d70ae769fa1c2
[ "MIT" ]
null
null
null
__tests__/__init__.py
brtkev/binance-wrapper
d32bb4d76fe189859dd0c5b1fa9d70ae769fa1c2
[ "MIT" ]
null
null
null
from __tests__.testUtils import * from __tests__.testInfo import * from __tests__.testMargin import * from __tests__.spot import * from __tests__.extra import *
26.833333
34
0.813665
20
161
5.55
0.4
0.405405
0.540541
0
0
0
0
0
0
0
0
0
0.124224
161
6
35
26.833333
0.787234
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
050eb7cf42ab54d8ce9e017058eaeed543354e73
162
py
Python
RSSINav/eval.py
bytemaster-0xff/playground
bf038c2d9c62519a5310aba4f65e56e6cb2eb20e
[ "MIT" ]
1
2017-05-01T07:25:45.000Z
2017-05-01T07:25:45.000Z
RSSINav/eval.py
bytemaster-0xff/playground
bf038c2d9c62519a5310aba4f65e56e6cb2eb20e
[ "MIT" ]
null
null
null
RSSINav/eval.py
bytemaster-0xff/playground
bf038c2d9c62519a5310aba4f65e56e6cb2eb20e
[ "MIT" ]
null
null
null
import csv import numpy as np import converter as js #import torch #from torch.autograd import Variable #import torch.nn as nn #import torch.nn.functional as F
16.2
36
0.790123
28
162
4.571429
0.5
0.257813
0.203125
0
0
0
0
0
0
0
0
0
0.160494
162
9
37
18
0.941176
0.611111
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
052e525079ebfccc3a00495d95c5d3053e06e08d
217
py
Python
test/cli/test_insiders.py
AramKoorn/TenBagger
cc207b1e288b1ff7345ccb7802218bee28bc2245
[ "Apache-2.0" ]
52
2021-07-15T12:26:38.000Z
2022-03-10T03:05:14.000Z
test/cli/test_insiders.py
AramKoorn/TenBagger
cc207b1e288b1ff7345ccb7802218bee28bc2245
[ "Apache-2.0" ]
7
2021-07-16T06:39:04.000Z
2021-11-14T20:57:12.000Z
test/cli/test_insiders.py
AramKoorn/TenBagger
cc207b1e288b1ff7345ccb7802218bee28bc2245
[ "Apache-2.0" ]
3
2021-07-28T05:46:33.000Z
2021-11-08T04:48:50.000Z
import pytest import subprocess def test_insiders_company(): subprocess.call("python3 cli/insiders.py SONO", shell=True) def test_insiders_overview(): subprocess.call("python3 cli/purchases.py", shell=True)
19.727273
62
0.774194
29
217
5.655172
0.551724
0.085366
0.182927
0.292683
0
0
0
0
0
0
0
0.010417
0.115207
217
10
63
21.7
0.84375
0
0
0
0
0
0.239631
0
0
0
0
0
0
1
0.333333
true
0
0.333333
0
0.666667
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
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
0595dd9ffa65ae1eb57912298418c6e6f8316011
69
py
Python
convokit/lengthTracker/__init__.py
maubinle/Cornell-Conversational-Analysis-Toolkit
5339c2b9bd3f147d3f44f3d1456607f01f46af54
[ "MIT" ]
1
2021-12-24T13:56:20.000Z
2021-12-24T13:56:20.000Z
convokit/lengthTracker/__init__.py
maubinle/Cornell-Conversational-Analysis-Toolkit
5339c2b9bd3f147d3f44f3d1456607f01f46af54
[ "MIT" ]
null
null
null
convokit/lengthTracker/__init__.py
maubinle/Cornell-Conversational-Analysis-Toolkit
5339c2b9bd3f147d3f44f3d1456607f01f46af54
[ "MIT" ]
null
null
null
from .lengthTracker import * from .lengthTracker import LengthTracker
34.5
40
0.855072
7
69
8.428571
0.428571
0.576271
0.779661
0
0
0
0
0
0
0
0
0
0.101449
69
2
40
34.5
0.951613
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
55b234ae6ccb28116667461799f4ee7f27eefe38
4,195
py
Python
tests/api_tests/test_api_list_patching.py
IlyaKozlov/dedoc
aa25a8868b5fd61314a32de2e22871a6d10fa3be
[ "Apache-2.0" ]
null
null
null
tests/api_tests/test_api_list_patching.py
IlyaKozlov/dedoc
aa25a8868b5fd61314a32de2e22871a6d10fa3be
[ "Apache-2.0" ]
null
null
null
tests/api_tests/test_api_list_patching.py
IlyaKozlov/dedoc
aa25a8868b5fd61314a32de2e22871a6d10fa3be
[ "Apache-2.0" ]
null
null
null
from tests.api_tests.abstrac_api_test import AbstractTestApiDocReader class TestApiDocReader(AbstractTestApiDocReader): def test_list_patching(self) -> None: file_name = "docx/13_moloko_1_polug.docx" result = self._send_request(file_name, data={"structure_type": "tree"}) content = result[...
58.263889
113
0.660072
481
4,195
5.686071
0.091476
0.37075
0.255942
0.374771
0.897258
0.866179
0.865448
0.865448
0.73894
0.73894
0
0.040788
0.152563
4,195
71
114
59.084507
0.728551
0.030036
0
0.666667
0
0
0.322676
0.020413
0
0
0
0
0.592593
1
0.055556
false
0
0.018519
0
0.092593
0
0
0
0
null
1
1
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
1
0
0
0
0
0
0
0
0
0
10
e966a39f23489bde8ad89920be2f6089a89b035d
127
py
Python
Loss_Function/load_loss_function.py
Encyclomen/Neural-Machine-Translation
c3cd7883c7cf907ab65625e8de7ca9dd23ba2b82
[ "MIT" ]
2
2018-12-10T15:40:29.000Z
2019-03-28T09:57:40.000Z
Loss_Function/load_loss_function.py
Encyclomen/Neural-Machine-Translation
c3cd7883c7cf907ab65625e8de7ca9dd23ba2b82
[ "MIT" ]
null
null
null
Loss_Function/load_loss_function.py
Encyclomen/Neural-Machine-Translation
c3cd7883c7cf907ab65625e8de7ca9dd23ba2b82
[ "MIT" ]
null
null
null
def load_loss_function(loss_class, *args, **kwargs): loss_function = loss_class(*args, **kwargs) return loss_function
25.4
52
0.732283
17
127
5.117647
0.470588
0.413793
0.367816
0.482759
0.712644
0.712644
0
0
0
0
0
0
0.149606
127
4
53
31.75
0.805556
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
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
1
0
0
0
0
1
0
0
8
e979b4bae6e180bd9922812fb93e820cfd52be58
442
py
Python
pietoolbelt/metrics/cpu/regression.py
kitkat52/pietoolbelt
0e0b5859662fcb43b008218746cc3e76cc66b6b8
[ "MIT" ]
1
2021-05-30T08:21:12.000Z
2021-05-30T08:21:12.000Z
pietoolbelt/metrics/cpu/regression.py
kitkat52/pietoolbelt
0e0b5859662fcb43b008218746cc3e76cc66b6b8
[ "MIT" ]
7
2020-07-07T21:04:08.000Z
2021-12-13T10:08:17.000Z
pietoolbelt/metrics/cpu/regression.py
kitkat52/pietoolbelt
0e0b5859662fcb43b008218746cc3e76cc66b6b8
[ "MIT" ]
1
2021-06-17T09:21:39.000Z
2021-06-17T09:21:39.000Z
import numpy as np def rmse(predict: np.ndarray, target: np.ndarray) -> float: return float(np.mean(np.sqrt(np.mean((predict - target) ** 2, axis=0)))) def amad(predict: np.ndarray, target: np.ndarray) -> float: return float(np.mean(np.mean(np.abs(predict - target), axis=0))) def relative(predict: np.ndar...
31.571429
86
0.671946
71
442
4.183099
0.309859
0.181818
0.13468
0.222222
0.703704
0.703704
0.703704
0.703704
0.703704
0.703704
0
0.015873
0.144796
442
13
87
34
0.769841
0
0
0
0
0
0
0
0
0
0
0
0
1
0.428571
false
0
0.142857
0.428571
1
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
0
0
1
0
0
0
1
1
0
0
9
e97d834dfa715cbee84ebcc35c77b0a9a3b8be1d
405
py
Python
Advanced/Exercises/Functions_Advanced_Lab/2_person_info.py
tankishev/Python
60e511fc901f136b88c681f77f209fe2f8c46447
[ "MIT" ]
2
2022-03-04T11:39:03.000Z
2022-03-13T07:13:23.000Z
Advanced/Exercises/Functions_Advanced_Lab/2_person_info.py
tankishev/Python
60e511fc901f136b88c681f77f209fe2f8c46447
[ "MIT" ]
null
null
null
Advanced/Exercises/Functions_Advanced_Lab/2_person_info.py
tankishev/Python
60e511fc901f136b88c681f77f209fe2f8c46447
[ "MIT" ]
null
null
null
# Write a function called get_info that receives a name, an age, and a town and returns a string in the format: # "This is {name} from {town} and he is {age} years old". Use dictionary unpacking when testing your function. Submit only the function in the judge system. def get_info(**kwargs): return f"This is {kw...
57.857143
156
0.718519
71
405
4.070423
0.535211
0.072664
0.062284
0.076125
0
0
0
0
0
0
0
0
0.17284
405
6
157
67.5
0.862687
0.654321
0
0
0
0.5
0.686131
0
0
0
0
0
0
1
0.5
true
0
0
0.5
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
1
0
null
0
0
0
0
0
1
1
0
0
1
1
0
0
7
756c6b802e9e43288683380d69f94d755e4bcb46
10,120
py
Python
environments/gym_pycolab/envs/pycolab_grid_worlds_env.py
braemt/attentive-multi-task-deep-reinforcement-learning
921feefce98076f88c892f0b7e6db8572f596763
[ "MIT" ]
12
2019-04-07T02:04:48.000Z
2022-03-22T12:57:47.000Z
environments/gym_pycolab/envs/pycolab_grid_worlds_env.py
braemt/attentive-multi-task-deep-reinforcement-learning
921feefce98076f88c892f0b7e6db8572f596763
[ "MIT" ]
null
null
null
environments/gym_pycolab/envs/pycolab_grid_worlds_env.py
braemt/attentive-multi-task-deep-reinforcement-learning
921feefce98076f88c892f0b7e6db8572f596763
[ "MIT" ]
7
2019-04-07T02:04:49.000Z
2020-12-28T10:30:27.000Z
# THIS FILE IS NEW OR MODIFIED COMPARED TO https://github.com/deepmind/pycolab import random import numpy as np from gym import spaces from gym_pycolab.envs.pycolab_env import PycolabEnv from gym_pycolab.worlds import grid_worlds as grid_worlds from gym_pycolab.worlds import connect_four WALL_LEVEL = [' # ', ...
32.332268
120
0.686957
1,135
10,120
5.651982
0.096035
0.07233
0.049727
0.06781
0.795168
0.78145
0.78145
0.767732
0.742479
0.742479
0
0.022681
0.21581
10,120
313
121
32.332268
0.78566
0.00751
0
0.658986
0
0
0.006373
0
0
0
0
0
0
1
0.285714
false
0
0.02765
0
0.589862
0
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
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
7
759cdb2dc66624e5bc8d22dcd25ecbe544e048dd
4,657
py
Python
tests/test_cache.py
udatsnoi/Flask-CacheControl
55c5d40106e2dd81d56efa253698210a6c63fcf4
[ "BSD-3-Clause" ]
18
2016-10-04T10:26:32.000Z
2021-04-26T15:40:18.000Z
tests/test_cache.py
udatsnoi/Flask-CacheControl
55c5d40106e2dd81d56efa253698210a6c63fcf4
[ "BSD-3-Clause" ]
4
2017-03-01T13:28:44.000Z
2021-02-27T12:20:13.000Z
tests/test_cache.py
udatsnoi/Flask-CacheControl
55c5d40106e2dd81d56efa253698210a6c63fcf4
[ "BSD-3-Clause" ]
6
2016-01-26T18:23:50.000Z
2021-02-19T08:34:42.000Z
import pytest from flask import Flask, Response from flask_cachecontrol import FlaskCacheControl, cache_for, cache, dont_cache, ResponseIsSuccessful, Always app = Flask(__name__) flask_cache_control = FlaskCacheControl(app) @app.route('/cache_for/on_success/<int:status_code>') @cache_for(only_if=ResponseIsSuccessfu...
32.795775
108
0.739102
713
4,657
4.551192
0.075736
0.088752
0.101695
0.097072
0.896764
0.85886
0.835131
0.743297
0.73621
0.651772
0
0.015644
0.13528
4,657
141
109
33.028369
0.790166
0
0
0.351064
0
0
0.246081
0.12347
0
0
0
0
0.180851
1
0.234043
false
0
0.031915
0.074468
0.340426
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
759da48e6bb6f7cd631d38881a702f72b6d31eb6
777
py
Python
pontoon/base/__init__.py
sudheesh001/pontoon
046bb50113a76ff278de73036db395ea726cab43
[ "BSD-3-Clause" ]
1
2017-04-04T06:55:46.000Z
2017-04-04T06:55:46.000Z
pontoon/base/__init__.py
zbraniecki/pontoon
d559316783938bc66d5d9a52dcdb01137475c259
[ "BSD-3-Clause" ]
null
null
null
pontoon/base/__init__.py
zbraniecki/pontoon
d559316783938bc66d5d9a52dcdb01137475c259
[ "BSD-3-Clause" ]
null
null
null
"""Application base, containing global templates.""" default_app_config = 'pontoon.base.apps.BaseConfig' MOZILLA_REPOS = ( 'ssh://hg.mozilla.org/users/m_owca.info/firefox-beta/', 'ssh://hg.mozilla.org/users/m_owca.info/firefox-for-android-beta/', 'ssh://hg.mozilla.org/users/m_owca.info/thunderbird-beta/',...
45.705882
73
0.710425
118
777
4.567797
0.237288
0.092764
0.222635
0.278293
0.816327
0.816327
0.816327
0.816327
0.816327
0.252319
0
0
0.082368
777
16
74
48.5625
0.755961
0.059202
0
0
0
0.153846
0.824828
0.824828
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
75c1fcb5205ab2e797300258118f4de97112730a
75,746
py
Python
heat/tests/test_neutron.py
NeCTAR-RC/heat
b152817f192a7b46514793633ddc968c1fe1ebf8
[ "Apache-2.0" ]
1
2015-02-26T03:23:23.000Z
2015-02-26T03:23:23.000Z
heat/tests/test_neutron.py
NeCTAR-RC/heat
b152817f192a7b46514793633ddc968c1fe1ebf8
[ "Apache-2.0" ]
null
null
null
heat/tests/test_neutron.py
NeCTAR-RC/heat
b152817f192a7b46514793633ddc968c1fe1ebf8
[ "Apache-2.0" ]
null
null
null
# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # ...
36.539315
79
0.56564
7,181
75,746
5.800028
0.05988
0.067059
0.038031
0.047539
0.862377
0.835822
0.779616
0.733974
0.706819
0.684946
0
0.113648
0.29929
75,746
2,072
80
36.55695
0.671075
0.014588
0
0.712222
0
0.001111
0.321248
0.142187
0
0
0
0
0.05
1
0.023889
false
0.000556
0.011111
0
0.042778
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
f97b6c1f2930606e7664d2c982eade16b7bd39a0
6,474
py
Python
run_twd.py
AndrzejTunkiel/Tape
1f6a7c337d9f3557452cb5c80c2dfc4d99085be3
[ "MIT" ]
null
null
null
run_twd.py
AndrzejTunkiel/Tape
1f6a7c337d9f3557452cb5c80c2dfc4d99085be3
[ "MIT" ]
null
null
null
run_twd.py
AndrzejTunkiel/Tape
1f6a7c337d9f3557452cb5c80c2dfc4d99085be3
[ "MIT" ]
1
2021-11-15T01:21:22.000Z
2021-11-15T01:21:22.000Z
# -*- coding: utf-8 -*- """ Created on Thu Feb 25 10:23:34 2021 @author: Andrzej T. Tunkiel andrzej.t.tunkiel@uis.no """ from sens_tape import tape import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt data = pd.read_csv('f9ad.csv') drops = ['Unnamed: 0', 'Unnamed: 0.1', 'RH...
31.427184
87
0.505715
689
6,474
4.612482
0.155298
0.075519
0.090623
0.105727
0.864695
0.864695
0.864695
0.864695
0.864695
0.864695
0
0.013042
0.384152
6,474
205
88
31.580488
0.784048
0.018381
0
0.875
0
0
0.104715
0
0
0
0
0
0
1
0
false
0.006579
0.032895
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
f9a5512d8e3b44e02bb77d36727dee3d6a9a9045
18,667
py
Python
testcases/generated/jmr_test.py
Tanc009/jdcloud-cli
4e11de77c68501f44e7026c0ad1c24e5d043197e
[ "Apache-2.0" ]
null
null
null
testcases/generated/jmr_test.py
Tanc009/jdcloud-cli
4e11de77c68501f44e7026c0ad1c24e5d043197e
[ "Apache-2.0" ]
null
null
null
testcases/generated/jmr_test.py
Tanc009/jdcloud-cli
4e11de77c68501f44e7026c0ad1c24e5d043197e
[ "Apache-2.0" ]
null
null
null
# coding=utf8 # Copyright 2018 JDCLOUD.COM # # 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 ...
32.464348
173
0.579525
2,368
18,667
4.483108
0.074747
0.040222
0.074699
0.097683
0.868124
0.853994
0.849849
0.787962
0.729371
0.698003
0
0.001041
0.279209
18,667
574
174
32.520906
0.78796
0.033964
0
0.707657
0
0.041763
0.220649
0.026644
0
0
0
0
0.141531
0
null
null
0
0.006961
null
null
0.141531
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
1
0
0
0
0
0
0
0
0
8
ddcceb2fc466736a31afc19bb389153b5ab762f9
90
py
Python
src/context/db.py
hvuhsg/OpenAPIGateway
76413c69e2f35a2febf899f161ddc4da4b0ea354
[ "MIT" ]
1
2022-01-29T17:50:38.000Z
2022-01-29T17:50:38.000Z
src/context/db.py
hvuhsg/OpenAPIGateway
76413c69e2f35a2febf899f161ddc4da4b0ea354
[ "MIT" ]
null
null
null
src/context/db.py
hvuhsg/OpenAPIGateway
76413c69e2f35a2febf899f161ddc4da4b0ea354
[ "MIT" ]
null
null
null
from db.mongo import MongoDB def get_db() -> MongoDB: return MongoDB.get_instance()
15
33
0.722222
13
90
4.846154
0.692308
0
0
0
0
0
0
0
0
0
0
0
0.177778
90
5
34
18
0.851351
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
ddebc4c329e8f2dde5a1e176b430a423b27dd09c
50,878
py
Python
PyTests/Violet/overridden_static_methods.py
LiarPrincess/Violet
0a4268649b0eec3ab631d19015d7043394c6571e
[ "MIT" ]
null
null
null
PyTests/Violet/overridden_static_methods.py
LiarPrincess/Violet
0a4268649b0eec3ab631d19015d7043394c6571e
[ "MIT" ]
6
2021-10-14T15:55:16.000Z
2022-03-31T14:04:02.000Z
PyTests/Violet/overridden_static_methods.py
LiarPrincess/Violet
0a4268649b0eec3ab631d19015d7043394c6571e
[ "MIT" ]
null
null
null
# ================================================================================================== # Automatically generated from: ./PyTests/Violet/generate_overridden_static_methods_test/__main__.py # DO NOT EDIT! # ================================================================================================== '...
24.507707
100
0.618244
5,915
50,878
4.37481
0.037363
0.116899
0.099007
0.056884
0.844495
0.809715
0.785331
0.76253
0.70526
0.650887
0
0.005823
0.240517
50,878
2,075
101
24.519518
0.663854
0.039821
0
0.708091
1
0
0.152289
0
0
0
0
0
0.265372
1
0.207767
false
0
0.003236
0.137864
0.462783
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
1
0
0
0
1
0
0
0
10
ddf52c09d985bef76422c99b84e9be3ad1461ecc
34,586
py
Python
tests/model/api/test_convenience.py
stklik/CREST
7fd97c50b0c6c923e1c477105bed4f0ea032bb99
[ "MIT" ]
14
2019-08-06T10:17:46.000Z
2022-03-13T12:50:59.000Z
tests/model/api/test_convenience.py
stklik/CREST
7fd97c50b0c6c923e1c477105bed4f0ea032bb99
[ "MIT" ]
16
2018-01-20T00:54:24.000Z
2019-07-24T15:43:42.000Z
tests/model/api/test_convenience.py
stklik/CREST
7fd97c50b0c6c923e1c477105bed4f0ea032bb99
[ "MIT" ]
1
2021-02-01T15:33:24.000Z
2021-02-01T15:33:24.000Z
import unittest import crestdsl.model as crest import crestdsl.model.api as api import copy class ConvenienceAPI_AddTest(unittest.TestCase): """ The following tests are related to issue #15 https://github.com/crestdsl/CREST/issues/15 It's about overriding crest objects that are already used in trans...
52.009023
158
0.663477
4,295
34,586
5.140396
0.042375
0.030438
0.074735
0.032612
0.94601
0.937313
0.924721
0.918561
0.909004
0.902074
0
0.012967
0.246342
34,586
665
159
52.009023
0.834037
0.030388
0
0.738359
0
0.011086
0.18704
0.000928
0
0
0
0
0.31929
1
0.168514
false
0.004435
0.008869
0
0.283814
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
fb264320106b8eb6a6612ec115ceb60c233f5571
208
py
Python
data/__init__.py
XiaotaoChen/resnet.mxnet
a44b04d33d77ea4ab3e5b24644ec391214658b8e
[ "MIT" ]
null
null
null
data/__init__.py
XiaotaoChen/resnet.mxnet
a44b04d33d77ea4ab3e5b24644ec391214658b8e
[ "MIT" ]
null
null
null
data/__init__.py
XiaotaoChen/resnet.mxnet
a44b04d33d77ea4ab3e5b24644ec391214658b8e
[ "MIT" ]
null
null
null
from .imagenet import imagenet_iterator from .imagenet import multiple_imagenet_iterator from .cifar10 import cifar10_iterator from .cifar10 import cifar100_iterator # from dali_imagenet import get_dali_iter
34.666667
48
0.875
28
208
6.214286
0.357143
0.275862
0.206897
0.287356
0
0
0
0
0
0
0
0.048128
0.100962
208
5
49
41.6
0.882353
0.1875
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
fb26c62f2146e4a5b537b7425a3468fc93694bef
63
py
Python
build/lib/arcus/azureml/version.py
Mcalewaert/arcus.azureml
ae6d8810dbf708f23c295bd3272cf0a2e655fa09
[ "MIT" ]
2
2020-10-30T13:03:32.000Z
2021-11-23T08:29:17.000Z
build/lib/arcus/azureml/version.py
Mcalewaert/arcus.azureml
ae6d8810dbf708f23c295bd3272cf0a2e655fa09
[ "MIT" ]
142
2020-03-12T12:50:37.000Z
2022-03-29T20:32:29.000Z
build/lib/arcus/azureml/version.py
Mcalewaert/arcus.azureml
ae6d8810dbf708f23c295bd3272cf0a2e655fa09
[ "MIT" ]
4
2020-03-12T15:40:01.000Z
2021-08-05T13:46:31.000Z
import arcus def output() -> str: return arcus.__version__
15.75
28
0.714286
8
63
5.125
0.875
0
0
0
0
0
0
0
0
0
0
0
0.190476
63
4
28
15.75
0.803922
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
34d9009f618fa3f673811b870a1a8d6ca6bef074
25,842
py
Python
automo/images.py
aliaafee/automo
53ef9398cb9a424dd081a8884cb306d1c691179d
[ "Unlicense" ]
2
2019-05-07T06:01:33.000Z
2021-05-31T14:31:18.000Z
automo/images.py
aliaafee/automo
53ef9398cb9a424dd081a8884cb306d1c691179d
[ "Unlicense" ]
1
2018-02-15T02:10:12.000Z
2021-06-04T04:13:50.000Z
automo/images.py
aliaafee/automo
53ef9398cb9a424dd081a8884cb306d1c691179d
[ "Unlicense" ]
null
null
null
""" Images used in the app, all images encoded in base 64 """ import cStringIO import base64 import wx def bitmap_from_base64(str_base64): """ Converts a base64 bitmap into a wx.Bitmap """ image = base64.b64decode(str_base64) stream = cStringIO.StringIO(image) return wx.BitmapFromImage(wx.ImageFromSt...
574.266667
9,031
0.95666
903
25,842
27.335548
0.885936
0.02212
0.000567
0
0
0
0
0
0
0
0
0.140242
0.00445
25,842
44
9,032
587.318182
0.819217
0.003715
0
0
0
0.619048
0.977926
0.977926
0
1
0
0
0
1
0.047619
false
0
0.142857
0
0.238095
0.238095
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
1
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
7
9b56452c71c0f80609d4226ce739a77fdfaa5c94
33,328
py
Python
tests/client/test_renderer.py
plastr/extrasolar-game
1aad5971556d498e3617afe75f27e2f4132d4668
[ "MIT", "Unlicense" ]
null
null
null
tests/client/test_renderer.py
plastr/extrasolar-game
1aad5971556d498e3617afe75f27e2f4132d4668
[ "MIT", "Unlicense" ]
null
null
null
tests/client/test_renderer.py
plastr/extrasolar-game
1aad5971556d498e3617afe75f27e2f4132d4668
[ "MIT", "Unlicense" ]
null
null
null
# Copyright (c) 2010-2011 Lazy 8 Studios, LLC. # All rights reserved. # Emulate the calls that the renderer would make to the Web Services module. from front import Constants from front.lib import db, utils from front.data import scene from front.models import chips from front.tests import base from front.tests.base i...
62.646617
135
0.713244
4,518
33,328
4.988048
0.08278
0.049343
0.023074
0.029286
0.797036
0.781106
0.757233
0.744986
0.74006
0.732961
0
0.002759
0.195301
33,328
531
136
62.764595
0.837541
0.268543
0
0.729231
0
0
0.069256
0.001816
0
0
0
0
0.436923
1
0.036923
false
0
0.018462
0
0.058462
0
0
0
0
null
0
0
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
1
0
0
0
0
0
0
0
0
0
7
9ba7247203b167136fc01c5b99b8dfddf7395290
23,192
py
Python
services/traction/acapy_client/api/credential_definition_api.py
Open-Earth-Foundation/traction
908b555a7f408a88541b7692d3730e37a297c919
[ "Apache-2.0" ]
12
2022-01-29T20:30:03.000Z
2022-03-29T11:46:14.000Z
services/traction/acapy_client/api/credential_definition_api.py
Open-Earth-Foundation/traction
908b555a7f408a88541b7692d3730e37a297c919
[ "Apache-2.0" ]
38
2021-11-22T17:52:50.000Z
2022-03-31T17:52:00.000Z
services/traction/acapy_client/api/credential_definition_api.py
Open-Earth-Foundation/traction
908b555a7f408a88541b7692d3730e37a297c919
[ "Apache-2.0" ]
9
2021-11-22T18:05:48.000Z
2022-03-29T11:25:08.000Z
""" Aries Cloud Agent No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v0.7.2 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from acapy_cli...
44.685934
238
0.549026
2,254
23,192
5.370453
0.104703
0.026601
0.034201
0.027757
0.834366
0.815696
0.778934
0.763486
0.745064
0.733664
0
0.013279
0.357063
23,192
518
239
44.772201
0.798538
0.364997
0
0.550955
1
0.009554
0.312183
0.123918
0
0
0
0
0
1
0.015924
false
0
0.025478
0
0.057325
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
fd5845c59e3d42037db690124a1023b3a940160c
2,040
py
Python
Spiral Array.py
cacciatora/LintCode
8aef1c13346fef95f2a8710efc0447462506d534
[ "MIT" ]
null
null
null
Spiral Array.py
cacciatora/LintCode
8aef1c13346fef95f2a8710efc0447462506d534
[ "MIT" ]
null
null
null
Spiral Array.py
cacciatora/LintCode
8aef1c13346fef95f2a8710efc0447462506d534
[ "MIT" ]
null
null
null
import copy class Solution: """ @param n: a Integer @return: a spiral array """ def spiralArray(self, n): # write your code here spiral = [[0 for col in range(n)] for row in range(n)] spiral[0] = range(1,n+1) if n % 2 : i, j = (n-1)/2, (n-1)/2 ...
34.576271
62
0.326471
218
2,040
3.055046
0.165138
0.126126
0.12012
0.225225
0.726727
0.711712
0.711712
0.63964
0.63964
0.63964
0
0.056911
0.577941
2,040
59
63
34.576271
0.716609
0.031863
0
0.792453
0
0
0
0
0
0
0
0.016949
0
1
0.018868
false
0
0.018868
0
0.075472
0.018868
0
0
0
null
0
0
1
0
1
1
0
0
1
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
7
fd5dadf5cef5995940e07c0fe38a2632db00d850
61,737
py
Python
qgis_polygon.py
ismailsunni/scripts
723678f5db37b1e32756e8877d146bb06efce1a2
[ "MIT" ]
2
2015-05-08T19:25:20.000Z
2015-05-30T07:09:14.000Z
qgis_polygon.py
ismailsunni/scripts
723678f5db37b1e32756e8877d146bb06efce1a2
[ "MIT" ]
null
null
null
qgis_polygon.py
ismailsunni/scripts
723678f5db37b1e32756e8877d146bb06efce1a2
[ "MIT" ]
1
2015-05-30T08:00:52.000Z
2015-05-30T08:00:52.000Z
# Declare polygon poly_1_wkt = 'POLYGON((124.46672000000000935 -9.50772999999998092,124.46742000000006101 -9.50810999999993101,124.46815000000003693 -9.50854999999995698,124.46875999900009901 -9.50891000099994699,124.46939000000008946 -9.5091099999999642,124.47046000000011645 -9.50918999999993275,124.47179000000005544 ...
1,371.933333
20,772
0.87957
5,818
61,737
9.325541
0.186662
0.005161
0.005419
0.004202
0.917373
0.91682
0.91682
0.915678
0.915678
0.915678
0
0.886708
0.025204
61,737
44
20,773
1,403.113636
0.014839
0.001442
0
0.0625
0
0.09375
0.982577
0.958633
0
0
0
0
0
0
null
null
0
0
null
null
0.125
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
1
1
1
0
0
0
0
0
1
1
null
0
0
0
0
1
0
0
0
0
0
0
0
0
13
b5c8e31d2bcf7d38a562601791a233c9a9da9349
112,410
py
Python
Geocoding_QA.py
jida-wang/georeferencing-ICOLD-dams-and-reservoirs
8a59d4712241e5f53d52d8f0e1b92d5829ba3f22
[ "MIT" ]
3
2021-03-04T06:46:56.000Z
2021-05-21T19:59:57.000Z
Geocoding_QA.py
surf-hydro/georeferencing-ICOLD-dams-and-reservoirs
0c95286618ede725c19498e4eaf3b6e36cc5f304
[ "MIT" ]
null
null
null
Geocoding_QA.py
surf-hydro/georeferencing-ICOLD-dams-and-reservoirs
0c95286618ede725c19498e4eaf3b6e36cc5f304
[ "MIT" ]
1
2021-12-16T02:33:32.000Z
2021-12-16T02:33:32.000Z
# [Description] ------------------------------ # Module name "Geocoding_ICOLD_QA.py" # This module loops through all geocoding solutions for each ICOLD WRD record (output of Geocoding_ICOLD.py) # and rank them based on their corresponding QA levels (see Table 5 in Wang et al. (2021). For each unique # ICOLD WRD re...
75.040053
215
0.538707
12,732
112,410
4.417766
0.048618
0.073924
0.085125
0.056323
0.817715
0.807083
0.801874
0.795509
0.792113
0.788913
0
0.012772
0.384957
112,410
1,497
216
75.09018
0.800772
0.118299
0
0.814132
0
0
0.053552
0.001314
0
0
0
0
0
0
null
null
0.149002
0.00384
null
null
0.003072
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
1
0
0
1
0
0
0
0
0
9
1fae8c06111a0c5b03ab60e9159af5bd93fd04d8
31,187
py
Python
tests/test_unused_import.py
semakaratas/unimport
7fa133a539bbb457f861b50379e9af87a11e1df0
[ "MIT" ]
null
null
null
tests/test_unused_import.py
semakaratas/unimport
7fa133a539bbb457f861b50379e9af87a11e1df0
[ "MIT" ]
null
null
null
tests/test_unused_import.py
semakaratas/unimport
7fa133a539bbb457f861b50379e9af87a11e1df0
[ "MIT" ]
null
null
null
import codeop import lib2to3.fixer_util import lib2to3.pgen2.token import lib2to3.pytree import os import pathlib import re import unittest from unimport.session import Session class UnusedTestCase(unittest.TestCase): maxDiff = None include_star_import = False def setUp(self): self.session = Ses...
27.746441
79
0.348735
2,342
31,187
4.50854
0.059351
0.079269
0.13202
0.127758
0.848186
0.843641
0.807747
0.754996
0.717019
0.709537
0
0.010004
0.522429
31,187
1,123
80
27.771149
0.698939
0.004297
0
0.664799
0
0
0.196102
0
0
0
0
0
0.033613
1
0.033613
false
0.004669
0.186741
0
0.230626
0.012138
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
1
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
1fbdf7642a047223a72d42d819fbe69ce82831ae
672
py
Python
libs/yowsup/yowsup/layers/protocol_media/protocolentities/__init__.py
akshitpradhan/TomHack
837226e7b38de1140c19bc2d478eeb9e379ed1fd
[ "MIT" ]
22
2017-07-14T20:01:17.000Z
2022-03-08T14:22:39.000Z
libs/yowsup/yowsup/layers/protocol_media/protocolentities/__init__.py
akshitpradhan/TomHack
837226e7b38de1140c19bc2d478eeb9e379ed1fd
[ "MIT" ]
6
2017-07-14T21:03:50.000Z
2021-06-10T19:08:32.000Z
libs/yowsup/yowsup/layers/protocol_media/protocolentities/__init__.py
akshitpradhan/TomHack
837226e7b38de1140c19bc2d478eeb9e379ed1fd
[ "MIT" ]
13
2017-07-14T20:13:14.000Z
2020-11-12T08:06:05.000Z
from .message_media import MediaMessageProtocolEntity from .message_media_downloadable import DownloadableMediaMessageProtocolEntity from .message_media_downloadable_image import ImageDownloadableMediaMessageProtocolEntity from .message_media_downloadable_audio import AudioDownloadableMediaMessageProtocolEntity from .m...
67.2
89
0.933036
55
672
11.054545
0.4
0.126645
0.184211
0.184211
0
0
0
0
0
0
0
0
0.053571
672
9
90
74.666667
0.955975
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
1
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
1fe1aec9c9772ecbb600ce43b6ce42d0c18efa97
14,628
py
Python
cnn/models/butterfly_conv.py
sfox14/butterfly
13cc15cee5bdb7adaf376219aaf20fab0459e9ef
[ "Apache-2.0" ]
52
2020-08-05T08:32:24.000Z
2022-03-27T21:56:34.000Z
cnn/models/butterfly_conv.py
sfox14/butterfly
13cc15cee5bdb7adaf376219aaf20fab0459e9ef
[ "Apache-2.0" ]
13
2020-09-14T23:34:32.000Z
2022-02-15T10:51:03.000Z
cnn/models/butterfly_conv.py
sfox14/butterfly
13cc15cee5bdb7adaf376219aaf20fab0459e9ef
[ "Apache-2.0" ]
11
2020-10-15T07:03:25.000Z
2022-03-25T12:03:49.000Z
import torch from torch import nn import torch.nn.functional as F from butterfly import Butterfly from butterfly.butterfly import ButterflyBmm from butterfly.butterfly_multiply import butterfly_mult_conv2d, butterfly_mult_conv2d_svd, bbt_mult_conv2d import math class Butterfly1x1Conv(Butterfly): """Product of lo...
59.706122
214
0.610131
2,012
14,628
4.287276
0.096421
0.075354
0.076281
0.038256
0.822281
0.809413
0.801762
0.797705
0.794227
0.794227
0
0.021607
0.281788
14,628
244
215
59.95082
0.799448
0.357875
0
0.466667
0
0
0.00425
0
0
0
0
0.016393
0
1
0.058333
false
0
0.058333
0
0.183333
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
1
0
0
0
0
0
0
0
0
0
0
7
1ff6e8c58910df896731d8db5c0aafb501b744ea
18,554
py
Python
coredis/commands/_key_spec.py
alisaifee/coredis
e72f5d7c665b53e6a1d41e1a7fb9e400858a8b19
[ "MIT" ]
9
2022-01-07T07:42:08.000Z
2022-03-21T15:54:09.000Z
coredis/commands/_key_spec.py
alisaifee/coredis
e72f5d7c665b53e6a1d41e1a7fb9e400858a8b19
[ "MIT" ]
30
2022-01-15T23:33:36.000Z
2022-03-30T22:39:53.000Z
coredis/commands/_key_spec.py
alisaifee/coredis
e72f5d7c665b53e6a1d41e1a7fb9e400858a8b19
[ "MIT" ]
3
2022-01-13T06:11:13.000Z
2022-02-21T11:19:33.000Z
from __future__ import annotations from coredis.typing import Callable, ClassVar, Dict, Tuple, ValueT class KeySpec: READONLY: ClassVar[ Dict[bytes, Callable[[Tuple[ValueT, ...]], Tuple[ValueT, ...]]] ] = { b"BITCOUNT": lambda args: ((args[1],)), b"BITFIELD_RO": lambda args: ((args[1]...
45.812346
86
0.478765
2,336
18,554
3.793664
0.109589
0.338524
0.467615
0.42654
0.86933
0.756601
0.722975
0.680998
0.657752
0.619838
0
0.031221
0.292228
18,554
404
87
45.925743
0.643619
0
0
0.545226
0
0
0.132963
0
0
0
0
0
0
1
0.002513
false
0
0.005025
0
0.025126
0
0
0
0
null
1
1
1
1
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
0
0
0
0
0
0
0
0
7
1f1625e77c12b6a905551b498a0f80fdf36ce91a
6,355
py
Python
tests/unit/app/test_exceptions.py
datphan/moviecrab
e3bcff700b994388f1ded68d268a960b10d57a81
[ "BSD-3-Clause" ]
null
null
null
tests/unit/app/test_exceptions.py
datphan/moviecrab
e3bcff700b994388f1ded68d268a960b10d57a81
[ "BSD-3-Clause" ]
null
null
null
tests/unit/app/test_exceptions.py
datphan/moviecrab
e3bcff700b994388f1ded68d268a960b10d57a81
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """tests for app.exceptions""" from tests.unit import UnitTestCase from app.exceptions import (ApplicationException, BadRequestException, UnauthorizedException, ForbiddenException, NotFoundException) class ApplicationExceptionTestCase(UnitTestCase): def test_...
41
95
0.636035
580
6,355
6.781034
0.093103
0.146453
0.16476
0.24714
0.819222
0.743199
0.723875
0.700483
0.648614
0.635393
0
0.018008
0.257278
6,355
154
96
41.266234
0.815254
0.007396
0
0.584746
0
0
0.167248
0.013329
0
0
0
0
0.40678
1
0.050847
false
0
0.016949
0
0.110169
0
0
0
0
null
0
0
1
1
1
1
1
0
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
1f31f0c9903a3e594736cdf1d00722070bf3ac27
7,382
py
Python
third_party/libSBML-5.9.0-Source/examples/python/fbc/fbc_example1.py
0u812/roadrunner
f464c2649e388fa1f5a015592b0b29b65cc84b4b
[ "Apache-2.0" ]
null
null
null
third_party/libSBML-5.9.0-Source/examples/python/fbc/fbc_example1.py
0u812/roadrunner
f464c2649e388fa1f5a015592b0b29b65cc84b4b
[ "Apache-2.0" ]
null
null
null
third_party/libSBML-5.9.0-Source/examples/python/fbc/fbc_example1.py
0u812/roadrunner
f464c2649e388fa1f5a015592b0b29b65cc84b4b
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # # @file fbc_example1.py # @brief SBML FBC example # @author Frank Bergmann # # This file is part of libSBML. Please visit http:# sbml.org for more # information about SBML, and the latest version of libSBML. # from libsbml import * sbmlns = SBMLNamespaces(3,1,"fbc...
27.442379
72
0.760092
702
7,382
7.990028
0.155271
0.057764
0.052951
0.06864
0.82742
0.813692
0.805491
0.805491
0.805491
0.805491
0
0.011987
0.095909
7,382
268
73
27.544776
0.828439
0.047684
0
0.733645
0
0
0.05292
0
0
0
0
0
0
1
0
false
0
0.004673
0
0.004673
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
1f4201f86bb9d7735918785fefbc399b7241c047
5,819
py
Python
rpython/translator/mu/test_impl/test_convop.py
wdv4758h/mu-client-pypy
d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf
[ "Apache-2.0", "OpenSSL" ]
null
null
null
rpython/translator/mu/test_impl/test_convop.py
wdv4758h/mu-client-pypy
d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf
[ "Apache-2.0", "OpenSSL" ]
null
null
null
rpython/translator/mu/test_impl/test_convop.py
wdv4758h/mu-client-pypy
d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf
[ "Apache-2.0", "OpenSSL" ]
null
null
null
from impl_test_util import impl_jit_test def test_trunc(cmdopt): def build_test_bundle(bldr, rmu): """ Builds the following test bundle. .typedef @i64 = int<64> .typedef @i32 = int<32> .const @0x6d9f9c1d58324b55_i64 <@i64> = 0x6d9f9c1d58324b55 .funcsi...
35.699387
95
0.569686
770
5,819
3.968831
0.087013
0.103076
0.098168
0.076571
0.858966
0.85373
0.845877
0.845877
0.835079
0.825589
0
0.127183
0.301426
5,819
163
96
35.699387
0.6246
0.272384
0
0.787234
0
0
0.10271
0.022194
0
0
0.021677
0
0.031915
1
0.06383
false
0
0.010638
0
0.106383
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
1f71243752e00cd2d867722d91394cd00789e761
292
py
Python
andhra/config.py
Jalend15/electoral_rolls
da170c6d07c5d5f19fdc88ab4b72359da2d31661
[ "MIT" ]
null
null
null
andhra/config.py
Jalend15/electoral_rolls
da170c6d07c5d5f19fdc88ab4b72359da2d31661
[ "MIT" ]
null
null
null
andhra/config.py
Jalend15/electoral_rolls
da170c6d07c5d5f19fdc88ab4b72359da2d31661
[ "MIT" ]
2
2021-08-24T05:57:38.000Z
2021-08-24T09:13:22.000Z
ANDHRA_TRACK_DIR = '/Users/jalend15/PycharmProjects/electoral_rolls/andhra/andhra_pdfs' ANDHRA_PDF_ENGLISH_DIR = '/Users/jalend15/PycharmProjects/electoral_rolls/andhra/andhra_pdfs/english' ANDHRA_PDF_TELUGU_DIR = '/Users/jalend15/PycharmProjects/electoral_rolls/andhra/andhra_pdfs/telugu'
48.666667
101
0.863014
37
292
6.432432
0.324324
0.10084
0.201681
0.390756
0.768908
0.768908
0.768908
0.768908
0.768908
0
0
0.021352
0.037671
292
6
102
48.666667
0.825623
0
0
0
0
0
0.734483
0.734483
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
0
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
2f055ffd170aa70d84bb0c8b2ccb36531771c1ab
29
py
Python
catprinter/__init__.py
thyme4soup/catprinter
9f4e2acbc0f4fb48e7132e0848201c74aa5a66ee
[ "MIT" ]
null
null
null
catprinter/__init__.py
thyme4soup/catprinter
9f4e2acbc0f4fb48e7132e0848201c74aa5a66ee
[ "MIT" ]
null
null
null
catprinter/__init__.py
thyme4soup/catprinter
9f4e2acbc0f4fb48e7132e0848201c74aa5a66ee
[ "MIT" ]
null
null
null
from catprinter import print
14.5
28
0.862069
4
29
6.25
1
0
0
0
0
0
0
0
0
0
0
0
0.137931
29
1
29
29
1
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
2f1a585a2d0161218124df07993f8c1eb7e97ce9
154
py
Python
python/common/fileIO/__init__.py
CountZer0/PipelineConstructionSet
0aa73a8a63c72989b2d1c677efd78dad4388d335
[ "BSD-3-Clause" ]
21
2015-04-27T05:01:36.000Z
2021-11-22T13:45:14.000Z
python/common/fileIO/__init__.py
0xb1dd1e/PipelineConstructionSet
621349da1b6d1437e95d0c9e48ee9f36d59f19fd
[ "BSD-3-Clause" ]
null
null
null
python/common/fileIO/__init__.py
0xb1dd1e/PipelineConstructionSet
621349da1b6d1437e95d0c9e48ee9f36d59f19fd
[ "BSD-3-Clause" ]
7
2015-04-11T11:37:19.000Z
2020-05-22T09:49:04.000Z
""" Import file utilities modules *Author:* * Jason.Parks, jason@continuityai.com, 1/8/14 4:46 PM """ print "common.fileIO.__init__ imported"
19.25
58
0.675325
21
154
4.761905
0.952381
0
0
0
0
0
0
0
0
0
0
0.055556
0.181818
154
8
59
19.25
0.738095
0
0
0
0
0
0.738095
0.52381
0
0
0
0
0
0
null
null
0
1
null
null
1
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
1
1
null
0
0
0
0
1
0
0
0
1
0
0
1
0
7
2f63fc5a81bac6f4d9c7ca1dac8ebe6d2f442d84
19,674
py
Python
chul/tests/test_updates.py
Jenks18/mfl_api
ecbb8954053be06bbcac7e1132811d73534c78d9
[ "MIT" ]
19
2015-04-16T09:37:08.000Z
2022-02-10T11:50:30.000Z
chul/tests/test_updates.py
Jenks18/mfl_api
ecbb8954053be06bbcac7e1132811d73534c78d9
[ "MIT" ]
125
2015-03-26T14:05:49.000Z
2020-05-14T08:16:50.000Z
chul/tests/test_updates.py
Jenks18/mfl_api
ecbb8954053be06bbcac7e1132811d73534c78d9
[ "MIT" ]
39
2015-04-15T09:17:33.000Z
2022-03-28T18:08:16.000Z
from django.core.urlresolvers import reverse from common.tests.test_views import LoginMixin from common.models import ContactType, Contact from rest_framework.test import APITestCase from model_mommy import mommy from facilities.models import Facility from ..models import ( CommunityHealthUnit, ChuUpdateBuf...
38.500978
78
0.609434
1,989
19,674
5.850176
0.055807
0.097628
0.051564
0.039532
0.90495
0.885442
0.866535
0.862839
0.844276
0.832932
0
0.018394
0.281539
19,674
510
79
38.576471
0.804811
0
0
0.719486
0
0
0.078479
0.003355
0
0
0
0
0.235546
1
0.025696
false
0
0.014989
0
0.042827
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
2f6aba83bacf0a33a44da07f67ca51863d4794df
16,528
py
Python
tests/test_instruction_packet.py
PMGrobotics/pyax12
a5d53094ab7dd8c2cace1ac3d3fa1f86cc13c28c
[ "MIT" ]
15
2015-08-21T19:37:32.000Z
2021-12-11T08:40:27.000Z
tests/test_instruction_packet.py
lvic/pyAX12andMX64
c759b0524079bc57ae3c89d276cd01f9d92c86cf
[ "MIT" ]
7
2015-08-26T20:57:22.000Z
2020-06-29T11:41:36.000Z
tests/test_instruction_packet.py
lvic/pyAX12andMX64
c759b0524079bc57ae3c89d276cd01f9d92c86cf
[ "MIT" ]
8
2017-10-19T03:21:13.000Z
2021-03-25T11:03:33.000Z
#!/usr/bin/env python3 # -*- coding : utf-8 -*- # PyAX-12 # The MIT License # # Copyright (c) 2010,2015 Jeremie DECOCK (http://www.jdhp.org) # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Softwar...
34.505219
80
0.630506
1,852
16,528
5.50216
0.137689
0.082041
0.072718
0.105986
0.805005
0.785967
0.773602
0.761923
0.726791
0.695976
0
0.01551
0.286121
16,528
478
81
34.577406
0.848123
0.320305
0
0.726872
0
0
0.025179
0
0
0
0.009583
0.002092
0.145374
1
0.079295
false
0
0.013216
0
0.096916
0.013216
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
2f7f3c25ccb751d7e276b0bdaa3648a8069896e6
3,811
py
Python
eqb/scripts/hmac-sha256.py
cryptotechguru/tesseract
9b64c61483710c94390404c3d920c1059cbfcda7
[ "MIT" ]
null
null
null
eqb/scripts/hmac-sha256.py
cryptotechguru/tesseract
9b64c61483710c94390404c3d920c1059cbfcda7
[ "MIT" ]
45
2019-02-05T17:17:18.000Z
2019-07-20T17:21:02.000Z
eqb/scripts/hmac-sha256.py
cryptotechguru/tesseract
9b64c61483710c94390404c3d920c1059cbfcda7
[ "MIT" ]
6
2019-02-01T12:30:48.000Z
2019-03-01T20:33:14.000Z
#!/usr/bin/env python # Generate test data for crypto_tests/hmac_sha3_testvectors import hashlib import hmac def TestHMACSHA256(key, message, expected): m = hmac.new(bytearray.fromhex(key), bytearray.fromhex(message), hashlib.sha256) result = m.hexdigest() print(key, message) print(expected) prin...
59.546875
84
0.773025
122
3,811
24.122951
0.540984
0.260958
0.260958
0.015291
0.20897
0.187564
0
0
0
0
0
0.449312
0.17948
3,811
64
85
59.546875
0.491845
0.05038
0
0.309091
1
0
0.684371
0.673859
0
0
0
0
0
1
0.018182
false
0
0.036364
0
0.054545
0.072727
0
0
1
null
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
1
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
85d070c4ac18a762e7c0c4642a9c37d2f616484e
588
py
Python
lists_slicing_protists.py
julencosme/python-crash-course
6b37d7346e235273c266110932207cd67ce4eb0e
[ "MIT" ]
null
null
null
lists_slicing_protists.py
julencosme/python-crash-course
6b37d7346e235273c266110932207cd67ce4eb0e
[ "MIT" ]
null
null
null
lists_slicing_protists.py
julencosme/python-crash-course
6b37d7346e235273c266110932207cd67ce4eb0e
[ "MIT" ]
null
null
null
protists_chlorophyta = ["volvox", "actinastrum", "hydrodictyon", "spirogyra"] print("The first three items in the list are:") for protist in protists_chlorophyta[:3]: print(protist.title()) protists_chlorophyta = ["volvox", "actinastrum", "hydrodictyon", "spirogyra"] print("The items in the middle of the list are:...
36.75
77
0.731293
74
588
5.72973
0.297297
0.268868
0.176887
0.254717
0.933962
0.933962
0.933962
0.933962
0.683962
0.683962
0
0.007767
0.12415
588
15
78
39.2
0.815534
0
0
0.5
0
0
0.389456
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
1
0
1
1
1
1
1
0
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
1
0
8
c8387d86da85605282bd29843e7873e685bf8274
148
py
Python
spider/concurrent/__init__.py
Foristkirito/PSpider
1393576180e25cdc59b495d1988afef38962758f
[ "BSD-2-Clause" ]
1,894
2016-10-17T17:11:18.000Z
2022-03-30T19:20:04.000Z
spider/concurrent/__init__.py
yiyuebitian/PSpider
7cb5b073d37499392d562ef9a112df085729f963
[ "BSD-2-Clause" ]
32
2016-11-30T08:47:39.000Z
2022-02-20T04:46:10.000Z
spider/concurrent/__init__.py
yiyuebitian/PSpider
7cb5b073d37499392d562ef9a112df085729f963
[ "BSD-2-Clause" ]
638
2016-10-18T01:23:27.000Z
2022-03-21T07:05:30.000Z
# _*_ coding: utf-8 _*_ """ define ThreadPool as WebSpider """ from .threads_inst import TPEnum from .threads_pool import ThreadPool as WebSpider
16.444444
49
0.756757
19
148
5.578947
0.684211
0.226415
0.396226
0
0
0
0
0
0
0
0
0.008
0.155405
148
8
50
18.5
0.84
0.358108
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
c09caf5aa86e63d6dddd085bfcaee6b5ac7f6648
27,534
py
Python
HLC/dense_rewardDDPG_HER.py
LM095/Multi-Subtask-DRL-for-Pick-and-Place-Task
b0fd58e086289adf1cc3930431db09c985c498bf
[ "MIT" ]
5
2021-02-15T19:54:38.000Z
2021-06-21T15:41:42.000Z
HLC/dense_rewardDDPG_HER.py
LM095/DRL-for-Pick-and-Place-Task-subtasks
b0fd58e086289adf1cc3930431db09c985c498bf
[ "MIT" ]
1
2021-11-14T09:36:25.000Z
2021-11-14T11:22:51.000Z
HLC/dense_rewardDDPG_HER.py
LM095/Multi-Subtask-DRL-for-Pick-and-Place-Task
b0fd58e086289adf1cc3930431db09c985c498bf
[ "MIT" ]
1
2021-06-21T15:41:43.000Z
2021-06-21T15:41:43.000Z
import gym import random import numpy as np import argparse from arguments import get_args from actorcritic import Actor, second, act, actor import torch from torch.autograd import Variable import torch.nn.functional as F import torch.optim as optim import torch.cuda import matplotlib.pyplot as plt from torch.distribut...
44.770732
173
0.578485
3,220
27,534
4.671429
0.081677
0.039489
0.02872
0.01795
0.860457
0.850419
0.84417
0.837721
0.832934
0.829079
0
0.019582
0.321167
27,534
614
174
44.843648
0.785191
0.085567
0
0.807339
0
0
0.028835
0.000916
0
0
0
0
0
1
0.009174
false
0
0.043578
0
0.057339
0.002294
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
c0a7df68d19a9bdbb2b43ed2d150ffbb6e43d448
66
py
Python
test/completion/import_tree/recurse_class2.py
mrclary/jedi
803c3cb271ead297c4fe3ca916b54ed05a623459
[ "MIT" ]
4,213
2015-01-02T15:43:22.000Z
2022-03-31T16:15:01.000Z
test/completion/import_tree/recurse_class2.py
mrclary/jedi
803c3cb271ead297c4fe3ca916b54ed05a623459
[ "MIT" ]
1,392
2015-01-02T18:43:39.000Z
2022-03-27T18:43:59.000Z
test/completion/import_tree/recurse_class2.py
PeterJCLaw/jedi
070f191f550990c23220d7f209df076178307cf6
[ "MIT" ]
525
2015-01-02T19:07:31.000Z
2022-03-13T02:03:20.000Z
from . import recurse_class1 class C(recurse_class1.C): pass
13.2
28
0.742424
10
66
4.7
0.7
0.553191
0
0
0
0
0
0
0
0
0
0.037037
0.181818
66
4
29
16.5
0.833333
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
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
1
1
0
1
0
0
7
c0ad1f20597303658147f4b1b8943c49719bc184
76
py
Python
test/io_/video/test_video_reader.py
ControlNet/tensorneko
70dfb2f6395e1703dbdf5d5adcfed7b1334efb8f
[ "MIT" ]
9
2021-05-23T17:38:09.000Z
2021-12-30T19:12:12.000Z
test/io_/video/test_video_reader.py
ControlNet/tensorneko
70dfb2f6395e1703dbdf5d5adcfed7b1334efb8f
[ "MIT" ]
null
null
null
test/io_/video/test_video_reader.py
ControlNet/tensorneko
70dfb2f6395e1703dbdf5d5adcfed7b1334efb8f
[ "MIT" ]
null
null
null
import unittest class TestVideoReader(unittest.TestCase): pass # TODO
12.666667
41
0.763158
8
76
7.25
0.875
0
0
0
0
0
0
0
0
0
0
0
0.171053
76
5
42
15.2
0.920635
0.052632
0
0
0
0
0
0
0
0
0
0.2
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
c0dc6589f9d70873de1367313e06dcd99af7c134
4,293
py
Python
test/modules/test_misc.py
Ghost-Proxy/Voluspa
ba16065cc270b744a1eb302142fdd3b21a698505
[ "MIT" ]
null
null
null
test/modules/test_misc.py
Ghost-Proxy/Voluspa
ba16065cc270b744a1eb302142fdd3b21a698505
[ "MIT" ]
12
2020-06-11T02:11:27.000Z
2022-02-10T01:30:49.000Z
test/modules/test_misc.py
Ghost-Proxy/Voluspa
ba16065cc270b744a1eb302142fdd3b21a698505
[ "MIT" ]
1
2020-06-15T19:59:06.000Z
2020-06-15T19:59:06.000Z
from unittest import TestCase from modules.misc import merge_dicts class DictMergeTestCase(TestCase): def test_merges_dicts(self): a = { 'a': 1, 'b': { 'b1': 2, 'b2': 3, }, } b = { 'a': 1, 'b': { ...
27.170886
84
0.407174
513
4,293
3.255361
0.136452
0.155689
0.164671
0.179641
0.88024
0.837126
0.836527
0.836527
0.800599
0.756886
0
0.036836
0.443513
4,293
157
85
27.343949
0.662202
0.042628
0
0.635037
0
0
0.072634
0
0
0
0
0
0.167883
1
0.036496
false
0.029197
0.014599
0
0.058394
0.014599
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
c0f9ad56c765d35657f1a5ce86873c3e696ff315
2,645
py
Python
p3_collab-compet/model.py
TobiasSunderdiek/my-udacity-deep-reinforcement-learning-solutions
14931252a0b14247ad926e3507dad19dcb811896
[ "MIT" ]
null
null
null
p3_collab-compet/model.py
TobiasSunderdiek/my-udacity-deep-reinforcement-learning-solutions
14931252a0b14247ad926e3507dad19dcb811896
[ "MIT" ]
8
2020-09-28T17:40:06.000Z
2022-02-10T04:50:48.000Z
p3_collab-compet/model.py
TobiasSunderdiek/my-udacity-deep-reinforcement-learning-solutions
14931252a0b14247ad926e3507dad19dcb811896
[ "MIT" ]
null
null
null
import torch import torch.nn as nn import torch.nn.functional as F class Actor(nn.Module): """ I got this from the description in the paper: https://arxiv.org/pdf/1509.02971.pdf and from here: https://github.com/udacity/deep-reinforcement-learning/blob/master/ddpg-pendulum/model.py#L12 """ def __in...
50.865385
137
0.671456
440
2,645
3.922727
0.227273
0.05562
0.032445
0.044032
0.899768
0.899768
0.882387
0.858053
0.858053
0.807648
0
0.048745
0.216635
2,645
52
138
50.865385
0.784266
0.471078
0
0.5625
0
0
0
0
0
0
0
0.019231
0
1
0.125
false
0
0.09375
0
0.34375
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
1
0
0
0
0
0
0
0
0
0
0
7
c0fa461d9122f5e0b53bc36a0deee590842d7c60
139
py
Python
django_base/test.py
Windsooon/youtube-channels
83ee3215cc5dff3dfd01979a7b5440d701029456
[ "MIT" ]
10
2017-11-12T19:14:36.000Z
2019-08-05T08:07:55.000Z
django_base/test.py
Windsooon/youtube-channels
83ee3215cc5dff3dfd01979a7b5440d701029456
[ "MIT" ]
3
2020-02-11T22:03:33.000Z
2021-06-10T19:56:27.000Z
django_base/test.py
Windsooon/youtube-channels
83ee3215cc5dff3dfd01979a7b5440d701029456
[ "MIT" ]
1
2019-12-26T19:30:21.000Z
2019-12-26T19:30:21.000Z
class A(object): def __init__(self): pass def _internal_use(self): pass def __method_name(self): pass
15.444444
28
0.568345
17
139
4.117647
0.647059
0.342857
0.314286
0
0
0
0
0
0
0
0
0
0.345324
139
8
29
17.375
0.769231
0
0
0.428571
0
0
0
0
0
0
0
0
0
1
0.428571
false
0.428571
0
0
0.571429
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
1
0
0
1
0
0
7
8d012d7d34d3cc1268c5bd937ddcb2af2c1c4c4c
308,389
gyp
Python
webkit/webkit.gyp
zachlatta/chromium
c4625eefca763df86471d798ee5a4a054b4716ae
[ "BSD-3-Clause" ]
1
2021-09-24T22:49:10.000Z
2021-09-24T22:49:10.000Z
webkit/webkit.gyp
changbai1980/chromium
c4625eefca763df86471d798ee5a4a054b4716ae
[ "BSD-3-Clause" ]
null
null
null
webkit/webkit.gyp
changbai1980/chromium
c4625eefca763df86471d798ee5a4a054b4716ae
[ "BSD-3-Clause" ]
null
null
null
# Copyright (c) 2009 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. { 'variables': { 'feature_defines': [ 'ENABLE_CHANNEL_MESSAGING=1', 'ENABLE_DATABASE=1', 'ENABLE_DATAGRID=1', 'ENABLE_DASHB...
62.80835
300
0.685884
32,465
308,389
6.375389
0.088187
0.177798
0.283626
0.394155
0.84678
0.829406
0.407528
0.240592
0.109964
0.052962
0
0.002643
0.153475
308,389
4,909
301
62.821145
0.790193
0.024395
0
0.129881
0
0.001698
0.795982
0.776664
0
0
0
0.000204
0.000424
1
0
true
0.001486
0.001061
0
0.001061
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
0
0
1
1
null
0
0
0
0
0
0
1
0
0
0
0
0
0
7
2391968441c9e20eac6405364d69583c136f0c4f
203
py
Python
codedigger/user/response.py
jyothiprakashpanaik/Backend
9ab1b57436a0a1a6197777c0b36c842e71121d3a
[ "Apache-2.0" ]
17
2020-10-07T22:40:37.000Z
2022-01-20T07:19:09.000Z
codedigger/user/response.py
jyothiprakashpanaik/Backend
9ab1b57436a0a1a6197777c0b36c842e71121d3a
[ "Apache-2.0" ]
42
2021-06-03T01:58:04.000Z
2022-01-31T14:49:22.000Z
codedigger/user/response.py
jyothiprakashpanaik/Backend
9ab1b57436a0a1a6197777c0b36c842e71121d3a
[ "Apache-2.0" ]
25
2020-10-06T17:55:19.000Z
2021-12-09T07:56:50.000Z
from rest_framework.response import Response from rest_framework import status def response(Data, Status=status.HTTP_200_OK): return Response(data={'status': 'OK', 'result': Data}, status=Status)
25.375
73
0.768473
28
203
5.428571
0.464286
0.197368
0.223684
0
0
0
0
0
0
0
0
0.01676
0.118227
203
7
74
29
0.832402
0
0
0
0
0
0.068966
0
0
0
0
0
0
1
0.25
false
0
0.5
0.25
1
0
1
0
0
null
0
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
1
1
1
0
0
7
23b3a28a0aeac86092ba9f4c83f6710b7085a977
5,716
py
Python
toxic.py
TXVIRUS/TX_SMS
6715eaeef7cb87e0399c6eff0cb0537a9cee528b
[ "MIT" ]
null
null
null
toxic.py
TXVIRUS/TX_SMS
6715eaeef7cb87e0399c6eff0cb0537a9cee528b
[ "MIT" ]
null
null
null
toxic.py
TXVIRUS/TX_SMS
6715eaeef7cb87e0399c6eff0cb0537a9cee528b
[ "MIT" ]
null
null
null
#Compiled By Mohammad Alamin #https://github.com/AK27HBD/ import marshal exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00s\x1a\x00\x00\x00d\x00d\x01l\x00Z\x00e\x01e\x00\xa0\x02d\x02\xa1\x01\x83\x01\x01\x00d\x01S\x00)\x03\xe9\x00\x00\x00\x00Ns\xee\x06...
1,429
5,643
0.737229
1,300
5,716
3.237692
0.365385
0.039914
0.042766
0.042766
0.014968
0.011404
0.011404
0.011404
0.011404
0.011404
0
0.228842
0.001575
5,716
4
5,643
1,429
0.508674
0.009447
0
0
0
2.5
0.6702
0.670023
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
1
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
1
0
1
0
0
0
0
9
23ceee01cd43d88b331111e7f0a06381a7ba539a
4,867
py
Python
stdplugins/warnbun.py
dqanshi/PornHub
162a7053ca7f2c0b3617b852559cfaf0502d94a7
[ "Apache-2.0" ]
55
2019-07-13T15:57:54.000Z
2021-09-20T16:50:42.000Z
stdplugins/warnbun.py
dqanshi/PornHub
162a7053ca7f2c0b3617b852559cfaf0502d94a7
[ "Apache-2.0" ]
3
2019-04-20T08:34:01.000Z
2019-05-11T21:37:02.000Z
stdplugins/warnbun.py
dqanshi/PornHub
162a7053ca7f2c0b3617b852559cfaf0502d94a7
[ "Apache-2.0" ]
450
2019-07-12T13:18:41.000Z
2022-03-29T18:47:42.000Z
"""Commands: .warn0 .warn1 .warn2 .warn3 .gbun .fw .ocb""" import asyncio from telethon import events from telethon.tl.types import ChannelParticipantsAdmins from uniborg.util import admin_cmd @borg.on(admin_cmd("warn1")) async def _(event): if event.fwd_from: return mentions = "__You Have__ **1/3** ...
31.4
167
0.700021
631
4,867
5.147385
0.147385
0.086207
0.056034
0.030172
0.904865
0.904865
0.904865
0.904865
0.904865
0.892241
0
0.008429
0.195603
4,867
154
168
31.603896
0.821201
0.010684
0
0.888
0
0.032
0.144841
0.038453
0
0
0
0
0
1
0
false
0
0.16
0
0.216
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
f1bf40d181dbb6180d8b102d7f6e138c1ef8cbb4
287
py
Python
tests/emulated_modules/sub_module_3/__init__.py
alisaifee/hiro
e93551b575c10729766b077bb1a79b1f87436a4e
[ "MIT" ]
5
2017-03-16T06:55:38.000Z
2021-04-07T15:42:23.000Z
tests/emulated_modules/sub_module_3/__init__.py
alisaifee/hiro
e93551b575c10729766b077bb1a79b1f87436a4e
[ "MIT" ]
8
2017-01-12T12:26:58.000Z
2020-05-26T02:20:57.000Z
tests/emulated_modules/sub_module_3/__init__.py
alisaifee/hiro
e93551b575c10729766b077bb1a79b1f87436a4e
[ "MIT" ]
4
2016-06-20T11:32:14.000Z
2019-06-27T07:14:44.000Z
from .sub_sample_3_1 import ( sub_sample_3_1_now, sub_sample_3_1_today, sub_sample_3_1_sleep, sub_sample_3_1_time, sub_sample_3_1_gmtime ) __all__ = [ "sub_sample_3_1_now", "sub_sample_3_1_today", "sub_sample_3_1_sleep", "sub_sample_3_1_time", "sub_sample_3_1_gmtime" ]
28.7
73
0.790941
57
287
3.157895
0.210526
0.55
0.611111
0.672222
0.866667
0.866667
0.866667
0.866667
0.866667
0.866667
0
0.087649
0.125436
287
9
74
31.888889
0.629482
0
0
0
0
0
0.341463
0.073171
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0
0
0
0
null
1
1
1
1
1
1
1
1
1
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
0
0
10
f1d2c16ce3fc0642725a5a15e77aa680414e1ccb
6,551
py
Python
src/genie/libs/parser/iosxe/tests/ShowLoggingOnboardRpActiveTemperatureContinuous/cli/equal/golden_output_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
null
null
null
src/genie/libs/parser/iosxe/tests/ShowLoggingOnboardRpActiveTemperatureContinuous/cli/equal/golden_output_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
null
null
null
src/genie/libs/parser/iosxe/tests/ShowLoggingOnboardRpActiveTemperatureContinuous/cli/equal/golden_output_expected.py
balmasea/genieparser
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
[ "Apache-2.0" ]
null
null
null
expected_output = { 'application': 'TEMPERATURE', 'temperature_sensors': { 'CPU board': { 'id': 0, 'history': { '11/10/2019 05:35:04': 51, '11/10/2019 05:45:04': 51, '11/10/2019 06:35:04': 49, '11/10/2019 06:40:...
29.376682
43
0.310182
811
6,551
2.472256
0.08508
0.191521
0.383042
0.239402
0.871322
0.871322
0.710723
0.626933
0.626933
0.626933
0
0.512512
0.518089
6,551
222
44
29.509009
0.122585
0
0
0.40724
0
0
0.347939
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
1
1
1
0
0
1
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
9