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
5d02f65a15a35f3f5f2205ff5270eaa60e785026
12,032
py
Python
virtual/lib/python3.6/site-packages/sqlalchemy/sql/default_comparator.py
mzazakeith/flask-blog
2833404cc5e96ffdbfb767f35b9caf2bdcce7997
[ "MIT" ]
207
2018-10-01T08:53:01.000Z
2022-03-14T12:15:54.000Z
virtual/lib/python3.6/site-packages/sqlalchemy/sql/default_comparator.py
mzazakeith/flask-blog
2833404cc5e96ffdbfb767f35b9caf2bdcce7997
[ "MIT" ]
32
2018-05-01T05:24:43.000Z
2022-03-11T23:20:39.000Z
lib/python2.7/site-packages/sqlalchemy/sql/default_comparator.py
anish03/weather-dash
d517fa9da9028d1fc5d8fd71d77cee829ddee87b
[ "MIT" ]
53
2019-03-12T16:50:21.000Z
2022-03-15T23:16:18.000Z
# sql/default_comparator.py # Copyright (C) 2005-2018 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """Default implementation of SQL comparison operations. """ from .. impor...
36.907975
79
0.593251
1,297
12,032
5.184271
0.189668
0.0232
0.05815
0.026026
0.283611
0.180101
0.163147
0.133998
0.118084
0.092356
0
0.001312
0.303108
12,032
325
80
37.021538
0.800596
0.086769
0
0.262948
0
0
0.069476
0.004022
0
0
0
0.003077
0
1
0.059761
false
0
0.01992
0.007968
0.191235
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0300b0501feb02f7f7fdb3d0f6bb946c42313a
2,153
py
Python
recipes/serializers.py
klharshini/recipe-django-api
7ceb00ab26f6e0d19196519ece297d2f4d616a5d
[ "Apache-2.0" ]
null
null
null
recipes/serializers.py
klharshini/recipe-django-api
7ceb00ab26f6e0d19196519ece297d2f4d616a5d
[ "Apache-2.0" ]
3
2020-06-05T21:58:22.000Z
2021-06-10T21:40:50.000Z
recipes/serializers.py
klharshini/recipe-django-api
7ceb00ab26f6e0d19196519ece297d2f4d616a5d
[ "Apache-2.0" ]
null
null
null
from django.contrib.auth.validators import UnicodeUsernameValidator from rest_framework import serializers from django.contrib.auth.models import User from recipes.models import Recipe, Ingredient, Step class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ("usernam...
33.123077
69
0.672085
218
2,153
6.518349
0.261468
0.073188
0.059817
0.070373
0.401126
0.270232
0.270232
0.270232
0.270232
0.211119
0
0
0.228518
2,153
64
70
33.640625
0.855509
0
0
0.24
0
0
0.060845
0
0
0
0
0
0
1
0.04
false
0
0.08
0
0.38
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0375507c268370ae9c58f1a6b3dd509a4f4999
1,652
py
Python
tests/test_model/test_temporal_regression_head.py
jcwon0/BlurHPE
c97a57e92a8a7f171b0403aee640222a32513562
[ "Apache-2.0" ]
null
null
null
tests/test_model/test_temporal_regression_head.py
jcwon0/BlurHPE
c97a57e92a8a7f171b0403aee640222a32513562
[ "Apache-2.0" ]
null
null
null
tests/test_model/test_temporal_regression_head.py
jcwon0/BlurHPE
c97a57e92a8a7f171b0403aee640222a32513562
[ "Apache-2.0" ]
null
null
null
import numpy as np import pytest import torch from mmpose.models import TemporalRegressionHead def test_temporal_regression_head(): """Test temporal head.""" head = TemporalRegressionHead( in_channels=1024, num_joints=17, loss_keypoint=dict(type='MPJPELoss', use_target_wei...
28.982456
70
0.625303
215
1,652
4.613953
0.390698
0.100806
0.080645
0.060484
0.210685
0.194556
0.129032
0
0
0
0
0.041051
0.262712
1,652
56
71
29.5
0.773399
0.174334
0
0.212121
0
0
0.022817
0
0
0
0
0
0.181818
1
0.060606
false
0
0.121212
0
0.212121
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d04161d9491b3b2bccc61b8d346c61f251d0a5b
1,774
py
Python
353-Design-Snake-Game/solution.py
Tanych/CodeTracking
86f1cb98de801f58c39d9a48ce9de12df7303d20
[ "MIT" ]
null
null
null
353-Design-Snake-Game/solution.py
Tanych/CodeTracking
86f1cb98de801f58c39d9a48ce9de12df7303d20
[ "MIT" ]
null
null
null
353-Design-Snake-Game/solution.py
Tanych/CodeTracking
86f1cb98de801f58c39d9a48ce9de12df7303d20
[ "MIT" ]
null
null
null
class SnakeGame(object): def __init__(self, width,height,food): """ Initialize your data structure here. @param width - screen width @param height - screen height @param food - A list of food positions E.g food = [[1,1], [1,0]] means the first food is positioned at ...
35.48
102
0.567644
244
1,774
4.106557
0.348361
0.083832
0.02994
0
0
0
0
0
0
0
0
0.02502
0.301578
1,774
50
103
35.48
0.783697
0.379369
0
0.08
0
0
0.00418
0
0
0
0
0
0
1
0.08
false
0
0
0
0.24
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d046e78f1ff28c88e9dd3fba255e0d381257af6
975
py
Python
scripts/register_sam.py
jessebrennan/azul
65970a0947f38fae439a3bf8fd960d351787b7a3
[ "Apache-2.0" ]
null
null
null
scripts/register_sam.py
jessebrennan/azul
65970a0947f38fae439a3bf8fd960d351787b7a3
[ "Apache-2.0" ]
null
null
null
scripts/register_sam.py
jessebrennan/azul
65970a0947f38fae439a3bf8fd960d351787b7a3
[ "Apache-2.0" ]
null
null
null
from itertools import ( chain, ) import logging from azul import ( config, require, ) from azul.logging import ( configure_script_logging, ) from azul.terra import ( TDRClient, TDRSourceName, ) log = logging.getLogger(__name__) def main(): configure_script_logging(log) tdr = TDRClien...
22.159091
78
0.644103
109
975
5.486239
0.431193
0.040134
0.050167
0
0
0
0
0
0
0
0
0
0.262564
975
43
79
22.674419
0.831711
0
0
0
0
0
0.086154
0
0
0
0
0
0
1
0.027778
false
0
0.138889
0
0.166667
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0497316627f4c13c17f9d3db674195ece95272
3,584
py
Python
altitude/players.py
StamKaly/altitude-mod-foundation
403befeba7d0e2e6afe3897081cd3e01f438e3d5
[ "MIT" ]
1
2018-07-11T16:55:49.000Z
2018-07-11T16:55:49.000Z
altitude/players.py
StamKaly/altitude-mod-foundation
403befeba7d0e2e6afe3897081cd3e01f438e3d5
[ "MIT" ]
null
null
null
altitude/players.py
StamKaly/altitude-mod-foundation
403befeba7d0e2e6afe3897081cd3e01f438e3d5
[ "MIT" ]
null
null
null
class Player: def __init__(self, nickname, vapor_id, player_id, ip): self.nickname = nickname self.vapor_id = vapor_id self.player_id = player_id self.ip = ip self.not_joined = True self.loads_map = True self.joined_after_change_map = True class Players: ...
35.84
88
0.626395
457
3,584
4.647702
0.131291
0.088041
0.062147
0.077684
0.428437
0.353578
0.282486
0.198682
0.130885
0.130885
0
0.000797
0.300223
3,584
99
89
36.20202
0.846093
0
0
0.268293
0
0
0.00558
0
0
0
0
0
0
1
0.195122
false
0
0
0.02439
0.329268
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0642e93e7a866ace737fc8f40342ddac2993c4
17,835
py
Python
dsn/editor/construct.py
expressionsofchange/nerf0
788203619fc89c92e8c7301d62bbc4f1f4ee66e1
[ "MIT" ]
2
2019-04-30T05:42:05.000Z
2019-08-11T19:17:20.000Z
dsn/editor/construct.py
expressionsofchange/nerf0
788203619fc89c92e8c7301d62bbc4f1f4ee66e1
[ "MIT" ]
null
null
null
dsn/editor/construct.py
expressionsofchange/nerf0
788203619fc89c92e8c7301d62bbc4f1f4ee66e1
[ "MIT" ]
null
null
null
""" Tools to "play notes for the editor clef", which may be thought of as "executing editor commands". NOTE: in the below, we often connect notes together "manually", i.e. using NoteSlur(..., previous_hash). As an alternative, we could consider `nouts_for_notes`. """ from s_address import node_for_s_address, s_dfs f...
47.18254
120
0.691786
2,549
17,835
4.635936
0.179678
0.033765
0.059575
0.025387
0.373784
0.329864
0.297707
0.266819
0.229923
0.18778
0
0.005173
0.230502
17,835
377
121
47.307692
0.855873
0.371124
0
0.317949
0
0
0.003376
0
0
0
0
0.002653
0
1
0.025641
false
0
0.030769
0.015385
0.225641
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d06e71f9e23ea91aab0fd29960c633c1cc96c2f
636
py
Python
src/pytong/base.py
richtong/pytong
6ff07a1bdf1d5e2232bfc102cce2dd74783bb111
[ "MIT" ]
null
null
null
src/pytong/base.py
richtong/pytong
6ff07a1bdf1d5e2232bfc102cce2dd74783bb111
[ "MIT" ]
null
null
null
src/pytong/base.py
richtong/pytong
6ff07a1bdf1d5e2232bfc102cce2dd74783bb111
[ "MIT" ]
null
null
null
"""Base for all Classes. Base mainly includes the description fields """ import logging from typing import Optional from .log import Log # type: ignore class BaseLog: """ Set a base logging. Use this as the base class for all your work. This adds a logging root. """ def __init__(self, log_roo...
22.714286
75
0.610063
88
636
4.25
0.511364
0.093583
0.058824
0
0
0
0
0
0
0
0
0
0.300314
636
27
76
23.555556
0.840449
0.349057
0
0
0
0
0.018325
0
0
0
0
0
0
1
0.083333
false
0
0.25
0
0.416667
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d073e43082666b4fb7e947816cf1a811338dbe3
620
py
Python
subprocess-10.py
GuillaumeFalourd/poc-subprocess
8f014a709ac2e471092d4ea1f61f1a9ff65ff571
[ "Apache-2.0" ]
1
2021-12-08T12:58:14.000Z
2021-12-08T12:58:14.000Z
subprocess-10.py
GuillaumeFalourd/poc-subprocess
8f014a709ac2e471092d4ea1f61f1a9ff65ff571
[ "Apache-2.0" ]
null
null
null
subprocess-10.py
GuillaumeFalourd/poc-subprocess
8f014a709ac2e471092d4ea1f61f1a9ff65ff571
[ "Apache-2.0" ]
null
null
null
import subprocess import re programs = input('Separe the programs with a space: ').split() secure_pattern = '[\w\d]' for program in programs: if not re.match(secure_pattern, program): print("Sorry we can't check that program") continue process = subprocess. run( ['which', program],...
22.962963
65
0.63871
82
620
4.792683
0.585366
0.045802
0.045802
0
0
0
0
0
0
0
0
0.002123
0.240323
620
27
66
22.962963
0.832272
0
0
0
0
0
0.320451
0
0
0
0
0
0
1
0
false
0
0.117647
0
0.117647
0.352941
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0751ff55112db535e551765b215e8ad53a88d2
2,320
py
Python
authentication/socialaccount/forms.py
vo0doO/pydj-persweb
efcd6b7090230f7c0b9ec056008f6d1d9e876ed9
[ "CC0-1.0" ]
null
null
null
authentication/socialaccount/forms.py
vo0doO/pydj-persweb
efcd6b7090230f7c0b9ec056008f6d1d9e876ed9
[ "CC0-1.0" ]
4
2020-05-06T17:22:00.000Z
2021-12-13T20:43:30.000Z
authentication/socialaccount/forms.py
vo0doO/pydj-persweb
efcd6b7090230f7c0b9ec056008f6d1d9e876ed9
[ "CC0-1.0" ]
null
null
null
from __future__ import absolute_import from django import forms from authentication.account.forms import BaseSignupForm from . import app_settings, signals from .adapter import get_adapter from .models import SocialAccount class SignupForm(BaseSignupForm): def __init__(self, *args, **kwargs): self.soc...
35.692308
76
0.617241
226
2,320
6.110619
0.309735
0.036206
0.030413
0.021723
0.036206
0.036206
0
0
0
0
0
0
0.289655
2,320
64
77
36.25
0.837985
0
0
0.039216
0
0
0.036638
0
0
0
0
0
0
1
0.117647
false
0
0.117647
0
0.352941
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0792b2d66082b8e779a07e75899ce616d825f2
12,110
py
Python
pytheos/pytheos.py
nilsbeck/pytheos
de4f3a03330ddb28e68ddcaa7b4888ea9a25e238
[ "MIT" ]
null
null
null
pytheos/pytheos.py
nilsbeck/pytheos
de4f3a03330ddb28e68ddcaa7b4888ea9a25e238
[ "MIT" ]
1
2021-10-30T16:31:41.000Z
2021-10-30T16:31:41.000Z
pytheos/pytheos.py
nilsbeck/pytheos
de4f3a03330ddb28e68ddcaa7b4888ea9a25e238
[ "MIT" ]
1
2021-10-30T14:24:58.000Z
2021-10-30T14:24:58.000Z
#!/usr/bin/env python """ Provides the primary interface into the library """ from __future__ import annotations import asyncio import logging from typing import Callable, Optional, Union from . import utils from . import controllers from .networking.connection import Connection from .networking.types import SSDPRes...
31.952507
108
0.650372
1,394
12,110
5.416069
0.176471
0.042914
0.033377
0.039603
0.249007
0.189007
0.143046
0.101722
0.062517
0.029139
0
0.000896
0.262675
12,110
378
109
32.037037
0.844663
0.12981
0
0.138889
0
0
0.030354
0.009636
0
0
0
0.007937
0
1
0.15
false
0.011111
0.061111
0.027778
0.3
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d090b8cc45daaa469bff1113230ad77ae43f4b6
9,596
py
Python
tianshou/data/collector.py
DZ9/tianshou
04208e6cce722b7a2353d9a5f4d6f0fc05797d67
[ "MIT" ]
1
2020-04-01T04:47:39.000Z
2020-04-01T04:47:39.000Z
tianshou/data/collector.py
TommeyChang/tianshou
4f843d3f51789f488169131a5b5decba8bab2b31
[ "MIT" ]
null
null
null
tianshou/data/collector.py
TommeyChang/tianshou
4f843d3f51789f488169131a5b5decba8bab2b31
[ "MIT" ]
1
2022-01-23T10:52:48.000Z
2022-01-23T10:52:48.000Z
import time import torch import warnings import numpy as np from tianshou.env import BaseVectorEnv from tianshou.data import Batch, ReplayBuffer,\ ListReplayBuffer from tianshou.utils import MovAvg class Collector(object): """docstring for Collector""" def __init__(self, policy, env, buffer=None, stat_si...
40.150628
79
0.492393
1,100
9,596
4.080909
0.140909
0.032747
0.02896
0.021831
0.185342
0.056137
0.012029
0
0
0
0
0.009566
0.411734
9,596
238
80
40.319328
0.785651
0.021259
0
0.198198
0
0
0.034957
0
0
0
0
0
0.009009
1
0.045045
false
0
0.031532
0.004505
0.112613
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0a9e073091c730b7a6a4929db2b2500c65ff5d
1,591
py
Python
drink_partners/partners/tests/views/test_search_partner_view.py
henriquebraga/drink-partners
4702263ae3e43ea9403cff5a72b68245d61880c7
[ "Apache-2.0" ]
null
null
null
drink_partners/partners/tests/views/test_search_partner_view.py
henriquebraga/drink-partners
4702263ae3e43ea9403cff5a72b68245d61880c7
[ "Apache-2.0" ]
22
2020-05-02T19:32:24.000Z
2021-10-17T21:19:46.000Z
drink_partners/partners/tests/views/test_search_partner_view.py
henriquebraga/drink-partners
4702263ae3e43ea9403cff5a72b68245d61880c7
[ "Apache-2.0" ]
null
null
null
from drink_partners.contrib.samples import partner_bar_legal class TestSearchPartner: async def test_should_return_bad_request_for_str_coordinates( self, client, partner_search_with_str_coordinates_url ): async with client.get(partner_search_with_str_coordinates_url) as respon...
31.82
90
0.649906
174
1,591
5.574713
0.333333
0.136082
0.092784
0.094845
0.683505
0.547423
0.519588
0.437113
0.278351
0.278351
0
0.020193
0.284098
1,591
49
91
32.469388
0.831431
0.0088
0
0.432432
0
0
0.115702
0
0
0
0
0
0.216216
1
0
false
0
0.027027
0
0.054054
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0d63268d357d52fa0b7327baa9d61702e3b1cd
3,341
py
Python
mjecv/io/base.py
mje-nz/mjecv
9a02c005a0abc7d21594f65c348cfe5185c90184
[ "MIT" ]
null
null
null
mjecv/io/base.py
mje-nz/mjecv
9a02c005a0abc7d21594f65c348cfe5185c90184
[ "MIT" ]
null
null
null
mjecv/io/base.py
mje-nz/mjecv
9a02c005a0abc7d21594f65c348cfe5185c90184
[ "MIT" ]
null
null
null
import multiprocessing from typing import List, Optional import numpy as np from ..util import dill_for_apply class ImageSequenceWriter: def __init__(self, pattern, writer, *, max_index=None): if type(pattern) is not str: raise ValueError("Pattern must be string") if pattern.format(1...
33.079208
86
0.609398
393
3,341
4.977099
0.328244
0.03272
0.018405
0.026585
0.03681
0.03681
0.03681
0.03681
0
0
0
0.003409
0.297516
3,341
100
87
33.41
0.829996
0.161329
0
0.109589
0
0
0.02381
0
0
0
0
0
0.013699
1
0.150685
false
0.013699
0.054795
0
0.246575
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d0f2e44cd4703366dc6065304ee5f71411d41c4
1,495
py
Python
377_combination_sum_iv.py
gengwg/leetcode
0af5256ec98149ef5863f3bba78ed1e749650f6e
[ "Apache-2.0" ]
2
2018-04-24T19:17:40.000Z
2018-04-24T19:33:52.000Z
377_combination_sum_iv.py
gengwg/leetcode
0af5256ec98149ef5863f3bba78ed1e749650f6e
[ "Apache-2.0" ]
null
null
null
377_combination_sum_iv.py
gengwg/leetcode
0af5256ec98149ef5863f3bba78ed1e749650f6e
[ "Apache-2.0" ]
3
2020-06-17T05:48:52.000Z
2021-01-02T06:08:25.000Z
# 377 Combination Sum IV # Given an integer array with all positive numbers and no duplicates, # find the number of possible combinations that add up to a positive integer target. # # Example: # # nums = [1, 2, 3] # target = 4 # # The possible combination ways are: # (1, 1, 1, 1) # (1, 1, 2) # (1, 2, 1) # (1, 3) # (2,...
24.508197
84
0.535786
208
1,495
3.850962
0.423077
0.017478
0.014981
0.014981
0.174782
0
0
0
0
0
0
0.042596
0.340468
1,495
60
85
24.916667
0.769777
0.471572
0
0.190476
0
0
0
0
0
0
0
0
0
1
0.095238
false
0
0
0
0.238095
0.047619
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d102888dd921effe96e5fc388b2a1b8ea50b383
3,440
py
Python
nvidia-texture-tools/conanfile.py
koeleck/conan-packages
da43e82c2444e934e69a38e524998d028f8edcc3
[ "Unlicense" ]
null
null
null
nvidia-texture-tools/conanfile.py
koeleck/conan-packages
da43e82c2444e934e69a38e524998d028f8edcc3
[ "Unlicense" ]
null
null
null
nvidia-texture-tools/conanfile.py
koeleck/conan-packages
da43e82c2444e934e69a38e524998d028f8edcc3
[ "Unlicense" ]
null
null
null
from conans import ConanFile, CMake, tools import os STATIC_LIBS = ["nvtt", "squish", "rg_etc1", "nvimage", "bc6h", "posh", "bc7", "nvmath", "nvthread", "nvcore"] SHARED_LIBS = ["nvtt", "nvimage", "nvthread", "nvmath", "nvcore"] class NvidiatexturetoolsConan(ConanFile): name = "nvidia-texture-tools...
47.123288
184
0.627326
432
3,440
4.87037
0.30787
0.022814
0.038023
0.053232
0.269487
0.248574
0.217205
0.203897
0.203897
0.203897
0
0.011936
0.22064
3,440
72
185
47.777778
0.772846
0
0
0.145161
0
0.016129
0.23054
0.018789
0
0
0
0
0
1
0.080645
false
0
0.032258
0
0.322581
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d105ccb37935c70d4da4645c5743044452805b9
2,890
py
Python
train_args.py
MyWay/Create-Your-Own-Image-Classifier
70e5744084435af8a74b2cfe2098c25b0745c9af
[ "MIT" ]
null
null
null
train_args.py
MyWay/Create-Your-Own-Image-Classifier
70e5744084435af8a74b2cfe2098c25b0745c9af
[ "MIT" ]
null
null
null
train_args.py
MyWay/Create-Your-Own-Image-Classifier
70e5744084435af8a74b2cfe2098c25b0745c9af
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 """ train_args.py train_args.py command-line args. """ import argparse def get_args(): """ """ parser = argparse.ArgumentParser( description="This script lets you train and save your model.", usage="python3 train.py flowers/train --gpu --learning_rate 0.001 --epochs...
30.104167
112
0.450173
259
2,890
4.868726
0.382239
0.087232
0.09437
0.031721
0.093577
0.093577
0.093577
0.093577
0.093577
0.093577
0
0.012369
0.440484
2,890
96
113
30.104167
0.767471
0.028374
0
0.227273
0
0.015152
0.261158
0
0
0
0
0
0
1
0.030303
false
0
0.015152
0
0.060606
0.015152
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d12933f8b3900ae610ac625eadbf5cf407b20ba
1,483
py
Python
apps/payment/views.py
canadiyaman/thetask
0f1cea1d8eea4966138ef0bdc303a53e3511e57d
[ "RSA-MD" ]
null
null
null
apps/payment/views.py
canadiyaman/thetask
0f1cea1d8eea4966138ef0bdc303a53e3511e57d
[ "RSA-MD" ]
null
null
null
apps/payment/views.py
canadiyaman/thetask
0f1cea1d8eea4966138ef0bdc303a53e3511e57d
[ "RSA-MD" ]
null
null
null
from django.http import HttpResponseRedirect from django.conf import settings from django.views.generic import TemplateView from apps.payment.models import PaymentLog from apps.payment.stripe import get_token, get_payment_charge from apps.subscription.views import start_subscription class ChargeView(TemplateView): ...
34.488372
106
0.653405
177
1,483
5.316384
0.355932
0.058448
0.074389
0.036132
0.061637
0.061637
0.061637
0
0
0
0
0.006969
0.225893
1,483
42
107
35.309524
0.812718
0
0
0
0
0
0.084289
0
0
0
0
0
0
1
0.085714
false
0
0.171429
0
0.371429
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d12e645166a3997ff332b7bb734f77bb3785c93
1,407
py
Python
secure_data_store/cli.py
HumanBrainProject/secure-data-store
69b615cf979fc08f4ae8474ca9cd3e6d2f04b7f0
[ "MIT" ]
1
2021-11-23T12:26:01.000Z
2021-11-23T12:26:01.000Z
secure_data_store/cli.py
HumanBrainProject/secure-data-store
69b615cf979fc08f4ae8474ca9cd3e6d2f04b7f0
[ "MIT" ]
null
null
null
secure_data_store/cli.py
HumanBrainProject/secure-data-store
69b615cf979fc08f4ae8474ca9cd3e6d2f04b7f0
[ "MIT" ]
1
2020-05-21T15:51:44.000Z
2020-05-21T15:51:44.000Z
# -*- coding: utf-8 -*- """Console script for secure_data_store.""" import click from . import secure_data_store as sds CONFIG='~/.sdsrc' @click.group() def main(): """Wrapper for GoCryptFS""" @main.command() @click.argument('name') @click.option('--config', help='Path to config file', default='~/.sdsrc') def cr...
29.3125
88
0.663113
183
1,407
5.060109
0.311475
0.058315
0.051836
0.077754
0.633909
0.633909
0.633909
0.518359
0.518359
0.390929
0
0.000864
0.177683
1,407
47
89
29.93617
0.799481
0.183369
0
0.545455
0
0
0.111707
0
0
0
0
0
0
1
0.121212
false
0
0.060606
0
0.181818
0.090909
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d13dcd7f99f525058d1ada523c294f362a0d8b9
1,052
py
Python
Support/Fuego/Pythia/pythia-0.4/packages/pyre/pyre/graph/Node.py
marient/PelePhysics
e6ad1839d77b194e09ab44ff850c9489652e5d81
[ "BSD-3-Clause-LBNL" ]
1
2019-04-24T13:32:23.000Z
2019-04-24T13:32:23.000Z
Support/Fuego/Pythia/pythia-0.4/packages/pyre/pyre/graph/Node.py
marient/PelePhysics
e6ad1839d77b194e09ab44ff850c9489652e5d81
[ "BSD-3-Clause-LBNL" ]
null
null
null
Support/Fuego/Pythia/pythia-0.4/packages/pyre/pyre/graph/Node.py
marient/PelePhysics
e6ad1839d77b194e09ab44ff850c9489652e5d81
[ "BSD-3-Clause-LBNL" ]
null
null
null
#!/usr/bin/env python # # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # # Michael A.G. Aivazis # California Institute of Technology # (C) 1998-2003 All Rights Reserved # # <LicenseText> # # ~~~~~~~~~~~~~~~~~...
19.849057
82
0.429658
86
1,052
5.069767
0.593023
0.041284
0
0
0
0
0
0
0
0
0
0.011142
0.31749
1,052
52
83
20.230769
0.5961
0.403992
0
0
0
0
0.121911
0
0
0
0
0
0
1
0.130435
false
0
0.043478
0.043478
0.347826
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d13e82b9800d2ed9d73368f30bea490d35c562b
3,522
py
Python
cairis/gui/RiskScatterPanel.py
RachelLar/cairis_update
0b1d6d17ce49bc74887d1684e28c53c1b06e2fa2
[ "Apache-2.0" ]
null
null
null
cairis/gui/RiskScatterPanel.py
RachelLar/cairis_update
0b1d6d17ce49bc74887d1684e28c53c1b06e2fa2
[ "Apache-2.0" ]
null
null
null
cairis/gui/RiskScatterPanel.py
RachelLar/cairis_update
0b1d6d17ce49bc74887d1684e28c53c1b06e2fa2
[ "Apache-2.0" ]
null
null
null
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may...
33.865385
141
0.70017
488
3,522
5
0.422131
0.032787
0.027049
0.018443
0.019672
0.019672
0.019672
0
0
0
0
0.027138
0.173481
3,522
103
142
34.194175
0.811061
0.216638
0
0
0
0
0.068953
0
0
0
0
0
0
1
0.065789
false
0
0.118421
0
0.315789
0.026316
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d14d6320ca92dcf32c70f780204293a845032e6
21,539
py
Python
contrib/memcache_whisper.py
TimWhalen/graphite-web
e150af45e01d01141a8767ec0597e218105b9914
[ "Apache-2.0" ]
1
2020-01-23T16:25:50.000Z
2020-01-23T16:25:50.000Z
contrib/memcache_whisper.py
TimWhalen/graphite-web
e150af45e01d01141a8767ec0597e218105b9914
[ "Apache-2.0" ]
2
2016-07-28T20:55:46.000Z
2016-08-02T13:59:28.000Z
contrib/memcache_whisper.py
TimWhalen/graphite-web
e150af45e01d01141a8767ec0597e218105b9914
[ "Apache-2.0" ]
1
2020-03-05T06:50:02.000Z
2020-03-05T06:50:02.000Z
#!/usr/bin/env python # Copyright 2008 Orbitz WorldWide # # 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 ...
40.563089
160
0.720553
2,509
21,539
6.114388
0.182144
0.022163
0.025487
0.017209
0.242162
0.183169
0.166352
0.149273
0.120657
0.107425
0
0.004745
0.168299
21,539
530
161
40.639623
0.851624
0.282697
0
0.350923
0
0
0.084923
0
0
0
0
0.001887
0.021108
1
0.060686
false
0
0.013193
0.005277
0.108179
0.002639
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d15ebcd4b1cb7692dfb4253406f6c027f0525d0
17,824
py
Python
venv/lib/python3.7/site-packages/Xlib/ext/xinput.py
umr-bot/sliding-puzzle-solver-bot
826532a426f343bcc66034b241a42b3bd864e07c
[ "MIT" ]
null
null
null
venv/lib/python3.7/site-packages/Xlib/ext/xinput.py
umr-bot/sliding-puzzle-solver-bot
826532a426f343bcc66034b241a42b3bd864e07c
[ "MIT" ]
null
null
null
venv/lib/python3.7/site-packages/Xlib/ext/xinput.py
umr-bot/sliding-puzzle-solver-bot
826532a426f343bcc66034b241a42b3bd864e07c
[ "MIT" ]
null
null
null
# Xlib.ext.xinput -- XInput extension module # # Copyright (C) 2012 Outpost Embedded, LLC # Forest Bond <forest.bond@rapidrollout.com> # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public License # as published by the Free Software...
27.212214
96
0.601212
1,985
17,824
5.265491
0.226196
0.026024
0.018178
0.011481
0.381936
0.345388
0.298603
0.278129
0.248374
0.22656
0
0.033212
0.276986
17,824
654
97
27.253823
0.777838
0.090103
0
0.363289
0
0
0.085054
0.001355
0
0
0.000645
0
0.003824
1
0.047801
false
0.01912
0.011472
0.028681
0.151052
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1b794c29c7e14b547cb2e45a43996ab2eb188a
60,985
py
Python
tests/api/test_attributes.py
DowneyTung/saleor
50f299d8e276b594753ee439d9e1a212f85a91b1
[ "CC-BY-4.0" ]
19
2019-12-03T17:28:07.000Z
2021-09-10T21:30:52.000Z
tests/api/test_attributes.py
DowneyTung/saleor
50f299d8e276b594753ee439d9e1a212f85a91b1
[ "CC-BY-4.0" ]
51
2019-12-06T08:06:07.000Z
2021-05-06T02:10:50.000Z
tests/api/test_attributes.py
DowneyTung/saleor
50f299d8e276b594753ee439d9e1a212f85a91b1
[ "CC-BY-4.0" ]
20
2020-02-03T00:38:59.000Z
2022-01-03T13:07:52.000Z
from typing import Union from unittest import mock import graphene import pytest from django.core.exceptions import ValidationError from django.db.models import Q from django.template.defaultfilters import slugify from graphene.utils.str_converters import to_camel_case from saleor.core.taxes import zero_money from sa...
31.598446
88
0.649504
6,532
60,985
5.785364
0.066748
0.025959
0.026674
0.025933
0.611802
0.541492
0.487722
0.455306
0.416433
0.392379
0
0.004877
0.24347
60,985
1,929
89
31.614826
0.814206
0.063967
0
0.469185
0
0
0.245785
0.017626
0
0
0
0
0.102054
1
0.033797
false
0
0.012591
0
0.046388
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1c26b574f8d1aa48c37371f029724022116688
3,557
py
Python
3-photos/1-chromakey/app.py
rafacm/aws-serverless-workshop-innovator-island
3f982ef6f70d28dfdc4e1d19103c181609b06b08
[ "MIT-0" ]
1
2020-11-26T16:12:16.000Z
2020-11-26T16:12:16.000Z
3-photos/1-chromakey/app.py
rafacm/aws-serverless-workshop-innovator-island
3f982ef6f70d28dfdc4e1d19103c181609b06b08
[ "MIT-0" ]
null
null
null
3-photos/1-chromakey/app.py
rafacm/aws-serverless-workshop-innovator-island
3f982ef6f70d28dfdc4e1d19103c181609b06b08
[ "MIT-0" ]
1
2020-11-26T16:12:21.000Z
2020-11-26T16:12:21.000Z
import os import json import cv2 import logging import boto3 import botocore s3 = boto3.client('s3') logger = logging.getLogger() logger.setLevel(logging.INFO) def upload_file(file_name, bucket, object_name=None): """Upload a file to an S3 bucket :param file_name: File to upload :param bucket: Bucket to ...
30.663793
86
0.671633
502
3,557
4.571713
0.294821
0.043573
0.04183
0.031373
0.16732
0.088889
0.063617
0
0
0
0
0.022785
0.22266
3,557
115
87
30.930435
0.807233
0.22041
0
0.032258
0
0
0.12908
0
0
0
0
0
0
1
0.048387
false
0
0.096774
0
0.225806
0.112903
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1d2183e311c349b4e6a54b6abedc9e76fcc8d1
323
py
Python
metrics/overflow.py
DEKHTIARJonathan/pyinstrument
cc4f3f6fc1b493d7cd058ecf41ad012e0030a512
[ "BSD-3-Clause" ]
1
2021-04-10T15:07:51.000Z
2021-04-10T15:07:51.000Z
metrics/overflow.py
DEKHTIARJonathan/pyinstrument
cc4f3f6fc1b493d7cd058ecf41ad012e0030a512
[ "BSD-3-Clause" ]
1
2022-02-28T02:48:43.000Z
2022-02-28T02:48:43.000Z
metrics/overflow.py
DEKHTIARJonathan/pyinstrument
cc4f3f6fc1b493d7cd058ecf41ad012e0030a512
[ "BSD-3-Clause" ]
1
2018-09-24T15:32:13.000Z
2018-09-24T15:32:13.000Z
from pyinstrument import Profiler p = Profiler(use_signal=False) p.start() def func(num): if num == 0: return b = 0 for x in range(1,100000): b += x return func(num - 1) func(900) p.stop() print(p.output_text()) with open('overflow_out.html', 'w') as f: f.write(p.output_html(...
13.458333
41
0.597523
53
323
3.566038
0.679245
0.074074
0
0
0
0
0
0
0
0
0
0.053942
0.25387
323
23
42
14.043478
0.73029
0
0
0
0
0
0.055728
0
0
0
0
0
0
1
0.066667
false
0
0.066667
0
0.266667
0.066667
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1d2acfb826681789b607d0aa918460c8853f38
12,995
py
Python
scripts/gen_tee_bin.py
wawang621/optee_os
bf7298044beca7a4501ece95c6146b5987cecaa4
[ "BSD-2-Clause" ]
null
null
null
scripts/gen_tee_bin.py
wawang621/optee_os
bf7298044beca7a4501ece95c6146b5987cecaa4
[ "BSD-2-Clause" ]
null
null
null
scripts/gen_tee_bin.py
wawang621/optee_os
bf7298044beca7a4501ece95c6146b5987cecaa4
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/env python3 # SPDX-License-Identifier: BSD-2-Clause # # Copyright (c) 2019, Linaro Limited # from __future__ import print_function from __future__ import division import argparse import sys import struct import re import hashlib try: from elftools.elf.elffile import ELFFile from elftools.elf.consta...
33.066158
79
0.604309
1,660
12,995
4.408434
0.163855
0.042088
0.026237
0.020087
0.419923
0.319076
0.248975
0.221372
0.176004
0.176004
0
0.013428
0.260716
12,995
392
80
33.15051
0.748309
0.121431
0
0.233333
0
0
0.106433
0.008086
0
0
0.004394
0
0
1
0.074074
false
0
0.051852
0
0.177778
0.033333
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1d311ba4f1a92388fbc36107c0bf393d5b97bc
1,864
py
Python
CircuitPython_JEplayer_mp3/repeat.py
gamblor21/Adafruit_Learning_System_Guides
f5dab4a758bc82d0bfc3c299683fe89dc093912a
[ "MIT" ]
665
2017-09-27T21:20:14.000Z
2022-03-31T09:09:25.000Z
CircuitPython_JEplayer_mp3/repeat.py
gamblor21/Adafruit_Learning_System_Guides
f5dab4a758bc82d0bfc3c299683fe89dc093912a
[ "MIT" ]
641
2017-10-03T19:46:37.000Z
2022-03-30T18:28:46.000Z
CircuitPython_JEplayer_mp3/repeat.py
gamblor21/Adafruit_Learning_System_Guides
f5dab4a758bc82d0bfc3c299683fe89dc093912a
[ "MIT" ]
734
2017-10-02T22:47:38.000Z
2022-03-30T14:03:51.000Z
# The MIT License (MIT) # # Copyright (c) 2020 Jeff Epler for Adafruit Industries LLC # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the r...
38.833333
79
0.694742
272
1,864
4.735294
0.525735
0.068323
0.020186
0
0
0
0
0
0
0
0
0.007037
0.237661
1,864
47
80
39.659574
0.899367
0.70118
0
0.235294
0
0
0
0
0
0
0
0
0
1
0.117647
false
0
0.058824
0
0.411765
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1d5be9e9e0382909fb3777ed89becc272c0e93
767
py
Python
Kapitel_1/_1_public_private.py
Geralonx/Classes_Tutorial
9499db8159efce1e3c38975b66a9c649631c6727
[ "MIT" ]
1
2020-12-24T15:42:54.000Z
2020-12-24T15:42:54.000Z
Kapitel_1/_1_public_private.py
Geralonx/Classes_Tutorial
9499db8159efce1e3c38975b66a9c649631c6727
[ "MIT" ]
null
null
null
Kapitel_1/_1_public_private.py
Geralonx/Classes_Tutorial
9499db8159efce1e3c38975b66a9c649631c6727
[ "MIT" ]
null
null
null
# --- Klassendeklaration mit Konstruktor --- # class PC: def __init__(self, cpu, gpu, ram): self.cpu = cpu self.gpu = gpu self.__ram = ram # --- Instanziierung einer Klasse ---# # --- Ich bevorzuge die Initialisierung mit den Keywords --- # pc_instanz = PC(cpu='Ryzen 7', gpu='RTX2070Super'...
29.5
89
0.684485
95
767
5.242105
0.526316
0.108434
0.140562
0
0
0
0
0
0
0
0
0.007924
0.177314
767
25
90
30.68
0.7813
0.588005
0
0
0
0
0.083893
0
0
0
0
0
0
1
0.1
false
0
0
0
0.2
0.4
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1d8a76e626c2ee6f2e02dabc04e268863c54e7
723
py
Python
algorithm/dynamic_programming/coin_change/solution.py
delaanthonio/hackerrank
b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27
[ "MIT" ]
1
2017-07-02T01:35:39.000Z
2017-07-02T01:35:39.000Z
algorithm/dynamic_programming/coin_change/solution.py
delaanthonio/hackerrank
b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27
[ "MIT" ]
null
null
null
algorithm/dynamic_programming/coin_change/solution.py
delaanthonio/hackerrank
b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27
[ "MIT" ]
1
2018-04-03T15:11:56.000Z
2018-04-03T15:11:56.000Z
#!/usr/bin/env python3 """ The Coin Change Problem :author: Dela Anthonio :hackerrank: https://hackerrank.com/delaanthonio :problem: https://www.hackerrank.com/challenges/coin-change/problem """ from typing import List def count_ways(amount: int, coins: List[int]) -> int: """Return the number of ways we can cou...
24.1
85
0.625173
105
723
4.209524
0.495238
0.045249
0.076923
0.036199
0.113122
0.113122
0.113122
0.113122
0
0
0
0.008696
0.204703
723
29
86
24.931034
0.76
0.362379
0
0
0
0
0.017857
0
0
0
0
0
0
1
0.153846
false
0
0.076923
0
0.307692
0.076923
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1e73e0421ce77dfe2003f2cfbf66fd1ffd338e
1,264
py
Python
setup.py
TheMagicNacho/artemis-nozzle
5c02672feb7b437a4ff0ccc45394de3010bcd5ab
[ "BSD-2-Clause" ]
null
null
null
setup.py
TheMagicNacho/artemis-nozzle
5c02672feb7b437a4ff0ccc45394de3010bcd5ab
[ "BSD-2-Clause" ]
null
null
null
setup.py
TheMagicNacho/artemis-nozzle
5c02672feb7b437a4ff0ccc45394de3010bcd5ab
[ "BSD-2-Clause" ]
null
null
null
# coding: utf-8 from runpy import run_path from setuptools import setup # Get the version from the relevant file d = run_path('skaero/version.py') __version__ = d['__version__'] setup( name="scikit-aero", version=__version__, description="Aeronautical engineering calculations in Python.", author="Juan...
30.829268
70
0.625791
123
1,264
6.300813
0.650407
0.073548
0.096774
0
0
0
0
0
0
0
0
0.009269
0.231804
1,264
40
71
31.6
0.788877
0.041139
0
0.083333
0
0
0.54177
0.036394
0
0
0
0
0
1
0
false
0
0.055556
0
0.055556
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1e977ff682cc24e27dda8c4298d920050e0d35
1,226
py
Python
appendix/AI.by.Search/backtracking.search/3-1.eight.queens.py
royqh1979/programming_with_python
7e1e8f88381151b803b6ae6ebda9809d9cc6664a
[ "MIT" ]
5
2019-03-06T12:28:47.000Z
2022-01-06T14:06:02.000Z
appendix/AI.by.Search/backtracking.search/3-1.eight.queens.py
royqh1979/programming_with_python
7e1e8f88381151b803b6ae6ebda9809d9cc6664a
[ "MIT" ]
6
2021-02-02T22:40:49.000Z
2022-03-12T00:27:54.000Z
appendix/AI.by.Search/backtracking.search/3-1.eight.queens.py
royqh1979/programming_with_python
7e1e8f88381151b803b6ae6ebda9809d9cc6664a
[ "MIT" ]
4
2019-03-06T14:29:25.000Z
2020-06-02T15:16:40.000Z
""" 8皇后问题 使用栈实现回溯法 """ def print_board(n,count): print(f"------解.{count}------") print(" ",end="") for j in range(n): print(f"{j:<2}" ,end="") print() for i in range(1,n+1): print(f"{i:<2}",end="") for j in range(1,n+1): if queens[i] == j: print("Q ",end="") else: print(" ",end="") print...
15.518987
67
0.58646
241
1,226
2.892116
0.232365
0.028694
0.050215
0.047346
0.261119
0.126255
0.04878
0
0
0
0
0.040486
0.194127
1,226
78
68
15.717949
0.66498
0.084013
0
0.155172
0
0
0.052299
0.018936
0
0
0
0
0
1
0.103448
false
0
0
0
0.172414
0.189655
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d1ef3d88231b985a99b51b59e99bc1d40f0567f
24,820
py
Python
multimodal_affinities/evaluation/analysis/plots_producer.py
amzn/multimodal-affinities
23045eb6a9387ce0c9c6f5a15227cf1cc4282626
[ "CC-BY-4.0" ]
6
2021-07-06T12:48:18.000Z
2021-12-06T01:52:24.000Z
multimodal_affinities/evaluation/analysis/plots_producer.py
amzn/multimodal-affinities
23045eb6a9387ce0c9c6f5a15227cf1cc4282626
[ "CC-BY-4.0" ]
null
null
null
multimodal_affinities/evaluation/analysis/plots_producer.py
amzn/multimodal-affinities
23045eb6a9387ce0c9c6f5a15227cf1cc4282626
[ "CC-BY-4.0" ]
5
2021-07-10T08:09:17.000Z
2022-03-24T16:27:15.000Z
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: CC-BY-4.0 import os import cv2 from collections import namedtuple import imageio from PIL import Image from random import randrange import numpy as np from sklearn.decomposition import PCA from scipy.spatial.distance import...
50.040323
148
0.621112
3,028
24,820
4.824967
0.136724
0.017796
0.00924
0.008624
0.48768
0.439288
0.418823
0.380972
0.359754
0.335387
0
0.010493
0.293473
24,820
495
149
50.141414
0.822651
0.11801
0
0.406077
0
0
0.027857
0.005953
0
0
0
0
0
1
0.038674
false
0
0.049724
0
0.116022
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d208ff94339d61c9f91237707d44d87ad7cd192
6,294
py
Python
openstates/openstates-master/openstates/de/legislators.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
openstates/openstates-master/openstates/de/legislators.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
openstates/openstates-master/openstates/de/legislators.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
import re import lxml.html from openstates.utils import LXMLMixin from billy.scrape.legislators import LegislatorScraper, Legislator class DELegislatorScraper(LegislatorScraper,LXMLMixin): jurisdiction = 'de' def scrape(self, chamber, term): url = { 'upper': 'http://legis.delaware.gov/l...
35.359551
82
0.522402
719
6,294
4.458971
0.258693
0.03088
0.015908
0.018715
0.125078
0.102308
0.049906
0.049906
0.026201
0.026201
0
0.005167
0.354306
6,294
177
83
35.559322
0.783711
0.058151
0
0.142857
0
0
0.127113
0.019777
0
0
0
0
0.022556
1
0.037594
false
0.007519
0.030075
0
0.135338
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d21c5c96591c41db957d015a344d7b68da97b7a
4,396
py
Python
dabing/DABING-MIB.py
SvajkaJ/dabing
8ddd8c1056b182b52f76028e23cd2ba8418a0dec
[ "MIT" ]
null
null
null
dabing/DABING-MIB.py
SvajkaJ/dabing
8ddd8c1056b182b52f76028e23cd2ba8418a0dec
[ "MIT" ]
null
null
null
dabing/DABING-MIB.py
SvajkaJ/dabing
8ddd8c1056b182b52f76028e23cd2ba8418a0dec
[ "MIT" ]
null
null
null
# # PySNMP MIB module DABING-MIB (http://snmplabs.com/pysmi) # ASN.1 source file://..\DABING-MIB.mib # Produced by pysmi-0.3.4 at Tue Mar 22 12:53:47 2022 # On host ? platform ? version ? by user ? # Using Python version 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 22:45:29) [MSC v.1916 32 bit (Intel)] # OctetString, Objec...
93.531915
523
0.75364
511
4,396
6.479452
0.258317
0.012685
0.016309
0.021746
0.430384
0.295681
0.295681
0.228934
0.203564
0.125642
0
0.0856
0.08849
4,396
46
524
95.565217
0.740704
0.065287
0
0
0
0
0.174348
0.010729
0
0
0
0
0
1
0
false
0
0.153846
0
0.153846
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d228bf6a4bad705b90b99a4ee75f695228944a7
956
py
Python
parameter_setup/run_setup_extra_vis.py
kharris/allen-voxel-network
3c39cf7e7400c09f78ebe9d1d9f8a6d7b9ef6d7b
[ "BSD-2-Clause" ]
7
2018-04-02T01:30:31.000Z
2020-02-23T03:31:57.000Z
parameter_setup/run_setup_extra_vis.py
yijizhao/allen-voxel-network
3c39cf7e7400c09f78ebe9d1d9f8a6d7b9ef6d7b
[ "BSD-2-Clause" ]
null
null
null
parameter_setup/run_setup_extra_vis.py
yijizhao/allen-voxel-network
3c39cf7e7400c09f78ebe9d1d9f8a6d7b9ef6d7b
[ "BSD-2-Clause" ]
2
2016-11-10T03:27:29.000Z
2018-08-06T17:32:05.000Z
import os import numpy as np save_stem='extra_vis_friday_harbor' data_dir='../../data/sdk_new_100' resolution=100 cre=False source_acronyms=['VISal','VISam','VISl','VISp','VISpl','VISpm', 'VISli','VISpor','VISrl','VISa'] lambda_list = np.logspace(3,12,10) scale_lambda=True min_vox=0 # save_file_name='...
26.555556
77
0.789749
154
956
4.564935
0.61039
0.034139
0.042674
0.039829
0.082504
0.082504
0.082504
0
0
0
0
0.029345
0.073222
956
35
78
27.314286
0.764108
0.074268
0
0
0
0
0.257662
0.166856
0
0
0
0
0
1
0
false
0
0.064516
0
0.064516
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d246013ebe48dbfeb0d5a33d4837a599aed75ec
396
py
Python
examples/runall.py
GNiklas/MOSSEPy
fbae1294beefe48f321bc5dbbc70e6c72d3ffe1f
[ "MIT" ]
null
null
null
examples/runall.py
GNiklas/MOSSEPy
fbae1294beefe48f321bc5dbbc70e6c72d3ffe1f
[ "MIT" ]
null
null
null
examples/runall.py
GNiklas/MOSSEPy
fbae1294beefe48f321bc5dbbc70e6c72d3ffe1f
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Nov 20 09:42:39 2020 @author: niklas """ from mossepy.mosse_tracker import MOSSE # choose position of object in first frame # that should be done by mouse click objPos = [256, 256] # choose tracker type tracker = MOSSE() # initialize object position ...
19.8
43
0.729798
59
396
4.881356
0.762712
0.048611
0.083333
0
0
0
0
0
0
0
0
0.060241
0.161616
396
20
44
19.8
0.807229
0.628788
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d25df408d94ab31e94a89b3213ae144d0477893
5,761
py
Python
manim/mobject/svg/style_utils.py
5Points7Edges/manim
1c2a5099133dbf0abdd5517b2ac93cfc8275b842
[ "MIT" ]
null
null
null
manim/mobject/svg/style_utils.py
5Points7Edges/manim
1c2a5099133dbf0abdd5517b2ac93cfc8275b842
[ "MIT" ]
null
null
null
manim/mobject/svg/style_utils.py
5Points7Edges/manim
1c2a5099133dbf0abdd5517b2ac93cfc8275b842
[ "MIT" ]
null
null
null
"""Utility functions for parsing SVG styles.""" __all__ = ["cascade_element_style", "parse_style", "parse_color_string"] from xml.dom.minidom import Element as MinidomElement from colour import web2hex from ...utils.color import rgb_to_hex from typing import Dict, List CASCADING_STYLING_ATTRIBUTES: List[str] = [ ...
31.140541
119
0.635306
745
5,761
4.781208
0.303356
0.038181
0.022459
0.020213
0.112296
0.06064
0
0
0
0
0
0.00543
0.264711
5,761
184
120
31.309783
0.835458
0.453741
0
0.08
0
0
0.116438
0.007192
0
0
0
0
0
1
0.053333
false
0.013333
0.053333
0
0.146667
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d2760eb1387adc84de54a02742f29d1beeb4ef2
1,361
py
Python
iotrigger.py
mm011106/iotrigger
643ced0440a8c4fb95ade56399f813c88ac8ddd6
[ "Apache-2.0" ]
null
null
null
iotrigger.py
mm011106/iotrigger
643ced0440a8c4fb95ade56399f813c88ac8ddd6
[ "Apache-2.0" ]
1
2017-01-08T14:22:32.000Z
2019-01-08T23:51:53.000Z
iotrigger.py
mm011106/iotrigger
643ced0440a8c4fb95ade56399f813c88ac8ddd6
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python #coding:utf-8 import os import RPi.GPIO as GPIO # import json from time import sleep # from twython import Twython f=open("tw_config.json",'r') config=json.load(f) f.close() CONSUMER_KEY =config['consumer_key'] CONSUMER_SECRET =config['consumer_secret'] ACCESS_TOKEN =config['access_token'] ACCE...
21.951613
93
0.714916
196
1,361
4.785714
0.520408
0.051173
0.040512
0.053305
0
0
0
0
0
0
0
0.013817
0.149155
1,361
61
94
22.311475
0.7962
0.045555
0
0
0
0
0.117738
0
0
0
0
0
0
1
0.026316
false
0.026316
0.131579
0
0.157895
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d2a93367402f8cedeb2edebdd44e28110111fbf
4,209
py
Python
save_tweets.py
iglesiasmanu/data_analysis
61127c91ad0eb11ecdc7258e186e430e9dddb0b6
[ "BSD-3-Clause" ]
null
null
null
save_tweets.py
iglesiasmanu/data_analysis
61127c91ad0eb11ecdc7258e186e430e9dddb0b6
[ "BSD-3-Clause" ]
null
null
null
save_tweets.py
iglesiasmanu/data_analysis
61127c91ad0eb11ecdc7258e186e430e9dddb0b6
[ "BSD-3-Clause" ]
null
null
null
import json from os import path from tweepy import OAuthHandler, Stream from tweepy.streaming import StreamListener from sqlalchemy.orm.exc import NoResultFound from database import session, Tweet, Hashtag, User consumer_key = "0qFf4T2xPWVIycLmAwk3rDQ55" consumer_secret = "LcHpujASn4fIIrQ8sikbCTQ3oyU6T6opchFVWBBqwI...
32.882813
80
0.623188
482
4,209
5.165975
0.290456
0.019679
0.025301
0.021687
0.049398
0.015261
0
0
0
0
0
0.015077
0.275125
4,209
127
81
33.141732
0.801049
0.029936
0
0.030612
0
0
0.130211
0.057626
0
0
0
0
0
1
0.081633
false
0
0.061224
0
0.193878
0.010204
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d2b1bb602059e1df9b567f6022d9d62a73d9127
907
py
Python
app/views/main.py
chrisjws-harness/flaskSaaS
f42558c523de23f03a098044df164ead3539a4dd
[ "MIT" ]
null
null
null
app/views/main.py
chrisjws-harness/flaskSaaS
f42558c523de23f03a098044df164ead3539a4dd
[ "MIT" ]
null
null
null
app/views/main.py
chrisjws-harness/flaskSaaS
f42558c523de23f03a098044df164ead3539a4dd
[ "MIT" ]
null
null
null
from flask import render_template, jsonify from app import app import random @app.route('/') @app.route('/index') def index(): # Feature flags init goes here! # # noinspection PyDictCreation flags = { "welcome_text": "welcome to my python FF tutorial!" } # Flag goes here! #...
19.717391
59
0.61301
107
907
5.121495
0.476636
0.072993
0.109489
0
0
0
0
0
0
0
0
0.051948
0.235943
907
45
60
20.155556
0.738817
0.080485
0
0
0
0
0.181159
0
0
0
0
0
0
1
0.148148
false
0
0.111111
0.074074
0.407407
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d2e7fe7c422e728c2698140a25e0895a9bb3030
254
py
Python
base_sample/numpy_mat.py
keepangry/ai_algorithm
21d8024296a2f2d2797448ed34eb383359259684
[ "Apache-2.0" ]
2
2018-08-29T11:09:36.000Z
2018-10-22T11:46:36.000Z
base_sample/numpy_mat.py
keepangry/ai_algorithm
21d8024296a2f2d2797448ed34eb383359259684
[ "Apache-2.0" ]
null
null
null
base_sample/numpy_mat.py
keepangry/ai_algorithm
21d8024296a2f2d2797448ed34eb383359259684
[ "Apache-2.0" ]
null
null
null
# encoding: utf-8 ''' @author: yangsen @license: @contact: @software: @file: numpy_mat.py @time: 18-8-25 下午9:56 @desc: ''' import numpy as np a = np.arange(9).reshape(3,3) # 行 a[1] a[[1,2]] a[np.array([1,2])] # 列 a[:,1] a[:,[1,2]] a[:,np.array([1,2])]
11.043478
29
0.574803
52
254
2.788462
0.596154
0.055172
0.041379
0.055172
0.206897
0.206897
0.206897
0.206897
0.206897
0.206897
0
0.100457
0.137795
254
23
30
11.043478
0.561644
0.46063
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d2ea06d1190699ab0cefe6b4179c68d747feca4
17,002
py
Python
ai_traineree/agents/rainbow.py
laszukdawid/ai-traineree
af32940eba8e11012de87b60d78f10f5a3b96c79
[ "Apache-2.0" ]
22
2020-08-21T03:03:05.000Z
2022-02-22T10:15:36.000Z
ai_traineree/agents/rainbow.py
laszukdawid/ai-traineree
af32940eba8e11012de87b60d78f10f5a3b96c79
[ "Apache-2.0" ]
23
2021-02-13T20:35:45.000Z
2022-02-06T20:15:37.000Z
ai_traineree/agents/rainbow.py
laszukdawid/ai-traineree
af32940eba8e11012de87b60d78f10f5a3b96c79
[ "Apache-2.0" ]
6
2020-10-11T08:36:09.000Z
2021-11-20T18:31:03.000Z
import copy from typing import Callable, Dict, List, Optional import torch import torch.nn as nn import torch.optim as optim from ai_traineree import DEVICE from ai_traineree.agents import AgentBase from ai_traineree.agents.agent_utils import soft_update from ai_traineree.buffers import NStepBuffer, PERBuffer from ai...
45.218085
118
0.648688
2,261
17,002
4.697037
0.199912
0.016573
0.025612
0.034652
0.229849
0.161111
0.141055
0.114689
0.082109
0.05951
0
0.008118
0.2465
17,002
375
119
45.338667
0.820857
0.272262
0
0.048077
0
0
0.05104
0.011588
0
0
0
0.002667
0.057692
1
0.086538
false
0
0.081731
0.014423
0.225962
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d2fb89dd83715259f4676be3c051b02287f606c
4,169
py
Python
nvvm/core/nvvm.py
uchytilc/PyCu
9ba25281611bf4dbd70d37f4eba0574f817d6928
[ "MIT" ]
null
null
null
nvvm/core/nvvm.py
uchytilc/PyCu
9ba25281611bf4dbd70d37f4eba0574f817d6928
[ "MIT" ]
null
null
null
nvvm/core/nvvm.py
uchytilc/PyCu
9ba25281611bf4dbd70d37f4eba0574f817d6928
[ "MIT" ]
null
null
null
from pycu.nvvm import (get_libdevice, ir_version, version, add_module_to_program, compile_program, create_program, destroy_program, get_compiled_result, get_compiled_result_size, get_program_log, get_program_log_size, lazy_add_module_to_program, verify_program) import os import sys from ctypes import c...
28.951389
181
0.708803
583
4,169
4.910806
0.291595
0.027943
0.048201
0.05868
0.22913
0.21446
0.21446
0.171149
0.155781
0.155781
0
0.02282
0.180139
4,169
143
182
29.153846
0.814804
0.611897
0
0.036364
0
0
0.096672
0.011622
0
0
0
0
0
1
0.145455
false
0.036364
0.090909
0.054545
0.345455
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d332a4a020a6faa75a8b1522601b2bced79121d
2,621
py
Python
Codes/Data Processing.py
BrickerP/Investment-
8b57c0d157a7eaa38d693c8d42ce1bc7dc7bdde9
[ "Apache-2.0" ]
null
null
null
Codes/Data Processing.py
BrickerP/Investment-
8b57c0d157a7eaa38d693c8d42ce1bc7dc7bdde9
[ "Apache-2.0" ]
null
null
null
Codes/Data Processing.py
BrickerP/Investment-
8b57c0d157a7eaa38d693c8d42ce1bc7dc7bdde9
[ "Apache-2.0" ]
1
2022-01-07T06:25:54.000Z
2022-01-07T06:25:54.000Z
# -*- coding: utf-8 -*- """ Created on Sun Nov 21 14:51:01 2021 @author: 75638 """ import pandas as pd import numpy as np pd.set_option('display.max_columns', None) pd.set_option('display.width', 10000) def process_data(path1,path2): ''' 1.path1: file path of different factor 2.path2:file path...
33.177215
97
0.591759
365
2,621
4.158904
0.336986
0.059289
0.034256
0.029644
0.194993
0.129117
0.129117
0.054018
0.054018
0.054018
0
0.054724
0.260969
2,621
79
98
33.177215
0.728962
0.145364
0
0.125
0
0
0.142655
0.107227
0
0
0
0
0
1
0.053571
false
0
0.035714
0
0.142857
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d33f0625c53288d64064188bcbc357613405301
1,448
py
Python
tests/test_env.py
Majanao/pytorch-blender
eb5effb033094d037e7bdc2238c00806be7012ae
[ "MIT" ]
381
2019-07-03T14:15:16.000Z
2022-03-30T08:58:26.000Z
tests/test_env.py
ANABUR920/pytorch-blender
eb5effb033094d037e7bdc2238c00806be7012ae
[ "MIT" ]
18
2020-01-15T17:36:08.000Z
2021-12-31T08:37:54.000Z
tests/test_env.py
ANABUR920/pytorch-blender
eb5effb033094d037e7bdc2238c00806be7012ae
[ "MIT" ]
34
2019-07-09T03:15:02.000Z
2022-01-13T17:36:20.000Z
import pytest from pathlib import Path from blendtorch import btt BLENDDIR = Path(__file__).parent/'blender' class MyEnv(btt.env.OpenAIRemoteEnv): def __init__(self, background=True, **kwargs): super().__init__(version='1.0.0') self.launch(scene=BLENDDIR/'env.blend', script=BLENDDIR / ...
26.814815
81
0.641575
208
1,448
4.322115
0.360577
0.050056
0.057842
0.07564
0.369299
0.351502
0.320356
0.320356
0.320356
0.249166
0
0.026079
0.232044
1,448
53
82
27.320755
0.782374
0.112569
0
0.435897
0
0
0.037471
0
0
0
0
0
0.384615
1
0.102564
false
0
0.076923
0
0.205128
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d36081f930dd6c0a745b46f1b5a299e738d247f
20,670
py
Python
deepvariant/runtime_by_region_vis.py
tahashmi/deepvariant
441c1809d3290f4a20b29a0a0bbf8ecfb929a6e3
[ "BSD-3-Clause" ]
4
2019-03-30T13:25:25.000Z
2020-10-14T18:47:21.000Z
deepvariant/runtime_by_region_vis.py
FrogEnthusiast7/deepvariant
84516dfacd1ed856a34507becb21848aa12e77a8
[ "BSD-3-Clause" ]
1
2021-06-18T15:04:47.000Z
2021-06-18T15:04:47.000Z
deepvariant/runtime_by_region_vis.py
FrogEnthusiast7/deepvariant
84516dfacd1ed856a34507becb21848aa12e77a8
[ "BSD-3-Clause" ]
1
2019-09-04T16:59:18.000Z
2019-09-04T16:59:18.000Z
# Copyright 2020 Google LLC. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # #...
34.335548
97
0.677504
2,943
20,670
4.633367
0.192321
0.024641
0.0176
0.010267
0.221326
0.170065
0.125623
0.086242
0.079642
0.066588
0
0.011457
0.206144
20,670
601
98
34.392679
0.81955
0.346589
0
0.165584
0
0.006494
0.267398
0.033882
0
0
0
0
0
1
0.058442
false
0
0.022727
0
0.12987
0.003247
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d373f0e4790917fc2d0b3ea420a4ad7a8c76024
4,096
py
Python
xeofs/pandas/_transformer.py
nicrie/xeofs
4c0ed49b45794ce0abb641c98b82638b2faa4828
[ "MIT" ]
3
2022-02-22T07:56:09.000Z
2022-03-30T10:47:20.000Z
xeofs/pandas/_transformer.py
nicrie/xeofs
4c0ed49b45794ce0abb641c98b82638b2faa4828
[ "MIT" ]
13
2022-02-15T13:44:34.000Z
2022-03-15T22:51:01.000Z
xeofs/pandas/_transformer.py
nicrie/xeofs
4c0ed49b45794ce0abb641c98b82638b2faa4828
[ "MIT" ]
2
2022-02-17T19:02:59.000Z
2022-02-22T07:56:15.000Z
from typing import Union, Iterable, List import numpy as np import pandas as pd from ..models._transformer import _ArrayTransformer, _MultiArrayTransformer class _DataFrameTransformer(_ArrayTransformer): '''`_ArrayTransformer` wrapper for `pandas.DataFrame`. ''' def __init__(self): super().__in...
35.310345
101
0.616211
517
4,096
4.736944
0.193424
0.112291
0.0343
0.0343
0.562679
0.463046
0.42303
0.42303
0.373622
0.318906
0
0.006651
0.265869
4,096
115
102
35.617391
0.807782
0.04126
0
0.329545
0
0
0.062672
0
0
0
0
0
0
1
0.181818
false
0
0.045455
0.079545
0.420455
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d38d81bebcb78fdcd3ec6d9d6e334cd582c79d5
1,004
py
Python
tests/bogus_python_model.py
FossilizedContainers/fossilized-controller
5aa14112b3728a619a37233906366c1cda2a0a77
[ "MIT" ]
1
2022-01-24T21:54:46.000Z
2022-01-24T21:54:46.000Z
tests/bogus_python_model.py
FossilizedContainers/fossilized-controller
5aa14112b3728a619a37233906366c1cda2a0a77
[ "MIT" ]
null
null
null
tests/bogus_python_model.py
FossilizedContainers/fossilized-controller
5aa14112b3728a619a37233906366c1cda2a0a77
[ "MIT" ]
null
null
null
import os import sys import lipd # import pythonAdapter, assumes in ../python-adapter/ tests_dir = os.path.dirname(os.path.realpath(__file__)) fc_dir = os.path.dirname(tests_dir) python_adapter_dir = os.path.join(fc_dir, "python-adapter") sys.path.append(python_adapter_dir) import adapter def fake_model(adapter): ...
26.421053
85
0.739044
157
1,004
4.55414
0.382166
0.072727
0.037762
0.044755
0.058741
0.058741
0
0
0
0
0
0
0.167331
1,004
37
86
27.135135
0.855263
0.34761
0
0
0
0
0.132921
0
0
0
0
0
0
1
0.052632
false
0
0.210526
0
0.315789
0.052632
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d38e4a873930da8bc4504369cb7f1bca6894323
13,421
py
Python
tello_control_ui.py
banne2266/UAV-autopilot-NCTU-2021
1a25d4add2de9659516d045054935e3b6e04d06d
[ "MIT" ]
null
null
null
tello_control_ui.py
banne2266/UAV-autopilot-NCTU-2021
1a25d4add2de9659516d045054935e3b6e04d06d
[ "MIT" ]
null
null
null
tello_control_ui.py
banne2266/UAV-autopilot-NCTU-2021
1a25d4add2de9659516d045054935e3b6e04d06d
[ "MIT" ]
null
null
null
from PIL import Image from PIL import ImageTk import tkinter as tki from tkinter import Toplevel, Scale import threading import datetime import cv2 import os import time import platform class TelloUI: """Wrapper class to enable the GUI.""" def __init__(self,tello,outputpath): """ Initial all t...
37.177285
113
0.580583
1,628
13,421
4.699631
0.203931
0.024703
0.027447
0.026663
0.319305
0.166253
0.120507
0.102732
0.092798
0.084172
0
0.010194
0.312942
13,421
360
114
37.280556
0.819542
0.154534
0
0.118943
0
0
0.107172
0.002176
0
0
0
0
0
1
0.15859
false
0
0.044053
0.061674
0.268722
0.057269
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d3b019f7105ea70804aca52b749a325dbd4f20c
416
py
Python
Python/ML_DL/DL/Neural-Networks-Demystified-master/partOne.py
vbsteja/code
0c8f4dc579f5de21b6c55fe6e65c3c8eb5473687
[ "Apache-2.0" ]
3
2018-08-06T15:34:58.000Z
2022-02-11T14:19:05.000Z
Python/ML_DL/DL/Neural-Networks-Demystified-master/partOne.py
vbsteja/code
0c8f4dc579f5de21b6c55fe6e65c3c8eb5473687
[ "Apache-2.0" ]
null
null
null
Python/ML_DL/DL/Neural-Networks-Demystified-master/partOne.py
vbsteja/code
0c8f4dc579f5de21b6c55fe6e65c3c8eb5473687
[ "Apache-2.0" ]
3
2018-08-06T15:35:01.000Z
2020-08-08T07:53:07.000Z
# Neural Networks Demystified # Part 1: Data + Architecture # # Supporting code for short YouTube series on artificial neural networks. # # Stephen Welch # @stephencwelch import numpy as np # X = (hours sleeping, hours studying), y = Score on test X = np.array(([3,5], [5,1], [10,2]), dtype=float) y = np.array(([75], ...
24.470588
73
0.673077
68
416
4.117647
0.676471
0.1
0
0
0
0
0
0
0
0
0
0.061047
0.173077
416
17
74
24.470588
0.752907
0.584135
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d3c91e42dac2041a621585dba8f1dfdc1e88107
19,048
py
Python
manubot/process/util.py
benstear/manubot
df184a5c7e5eb98894a3edb43d9772d1ac3e01ab
[ "BSD-3-Clause" ]
null
null
null
manubot/process/util.py
benstear/manubot
df184a5c7e5eb98894a3edb43d9772d1ac3e01ab
[ "BSD-3-Clause" ]
null
null
null
manubot/process/util.py
benstear/manubot
df184a5c7e5eb98894a3edb43d9772d1ac3e01ab
[ "BSD-3-Clause" ]
null
null
null
import json import logging import os import pathlib import re import textwrap import warnings from typing import List, Optional import jinja2 import pandas import requests import requests_cache import yaml from manubot.util import read_serialized_data, read_serialized_dict from manubot.process.bibliography import loa...
37.496063
118
0.679546
2,318
19,048
5.406816
0.195427
0.031118
0.012208
0.011968
0.129418
0.078034
0.040373
0.03399
0.028724
0.026171
0
0.001896
0.224801
19,048
507
119
37.57002
0.846878
0.249108
0
0.147147
0
0.003003
0.211811
0.028016
0
0
0
0
0.012012
1
0.042042
false
0
0.057057
0
0.147147
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4008c47be6196efe901a8e83cca011533d0bf1
2,648
py
Python
pytorch_ares/pytorch_ares/attack_torch/mim.py
thu-ml/realsafe
474d549aa402b4cdd5e3629d23d035c31b60a360
[ "MIT" ]
107
2020-06-15T09:55:11.000Z
2020-12-20T11:27:11.000Z
pytorch_ares/pytorch_ares/attack_torch/mim.py
haichen-ber/ares
474d549aa402b4cdd5e3629d23d035c31b60a360
[ "MIT" ]
7
2020-06-14T03:00:18.000Z
2020-12-07T07:10:10.000Z
pytorch_ares/pytorch_ares/attack_torch/mim.py
haichen-ber/ares
474d549aa402b4cdd5e3629d23d035c31b60a360
[ "MIT" ]
19
2020-06-14T08:35:33.000Z
2020-12-19T13:43:41.000Z
import imp import torch import torch.nn as nn import numpy as np import torch.nn.functional as F from pytorch_ares.attack_torch.utils import loss_adv class MIM(object): '''Projected Gradient Descent''' def __init__(self, net, epsilon, p, stepsize, steps, decay_factor, data_name,target, loss, device): ...
39.522388
118
0.583837
324
2,648
4.691358
0.305556
0.007895
0.036842
0.011842
0.063158
0.026316
0
0
0
0
0
0.015427
0.314577
2,648
67
119
39.522388
0.822039
0.064955
0
0.072727
0
0
0.017423
0
0
0
0
0
0.018182
1
0.036364
false
0
0.109091
0
0.181818
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4029e498cad9d638e5fe5f4c3a65f28490da96
303
py
Python
src/utils/templatetags/menubutton.py
pwelzel/bornhack-website
af794e6a2fba06e09626259c7768feb30ff394be
[ "BSD-3-Clause" ]
null
null
null
src/utils/templatetags/menubutton.py
pwelzel/bornhack-website
af794e6a2fba06e09626259c7768feb30ff394be
[ "BSD-3-Clause" ]
null
null
null
src/utils/templatetags/menubutton.py
pwelzel/bornhack-website
af794e6a2fba06e09626259c7768feb30ff394be
[ "BSD-3-Clause" ]
null
null
null
from django import template register = template.Library() @register.simple_tag(takes_context=True) def menubuttonclass(context, appname): if appname == context['request'].resolver_match.func.view_class.__module__.split(".")[0]: return "btn-primary" else: return "btn-default"
25.25
93
0.716172
36
303
5.805556
0.805556
0.086124
0
0
0
0
0
0
0
0
0
0.003906
0.155116
303
11
94
27.545455
0.8125
0
0
0
0
0
0.099338
0
0
0
0
0
0
1
0.125
false
0
0.125
0
0.5
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d424aaa1fdb6fb518af8c5169d61b82bae9ef0f
1,928
py
Python
ares/defense/randomization.py
KuanKuanQAQ/ares
40dbefc18f6438e1812021fe6d6c3195f22ca295
[ "MIT" ]
206
2020-12-31T09:43:11.000Z
2022-03-30T07:02:41.000Z
ares/defense/randomization.py
afoolboy/ares
89610d41fdde194e4ad916d29961aaed73383692
[ "MIT" ]
7
2021-01-26T06:45:44.000Z
2022-02-26T05:25:48.000Z
ares/defense/randomization.py
afoolboy/ares
89610d41fdde194e4ad916d29961aaed73383692
[ "MIT" ]
61
2020-12-29T14:02:41.000Z
2022-03-26T14:21:10.000Z
''' The randomization defense method, which applies random . ''' import tensorflow as tf from ares.defense.input_transformation import input_transformation def randomize(xs, scale_min=0.875, pad_value=0.0): ''' Apply random rescaling and padding to xs. :param xs: A batch of inputs for some classifier. ...
43.818182
110
0.688797
289
1,928
4.401384
0.304498
0.050314
0.035377
0.018868
0.268868
0.240566
0.240566
0.240566
0.205975
0.205975
0
0.023196
0.195021
1,928
43
111
44.837209
0.796392
0.320539
0
0
0
0
0
0
0
0
0
0
0
1
0.181818
false
0
0.090909
0.090909
0.454545
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d493476e5ae3fc5c2137c7a547ce012434fae4f
4,927
py
Python
inflateutils/exportmesh.py
arpruss/inflatemesh
ab4abfc7794fd4cf96f41bb797e1b2a61f687a46
[ "MIT" ]
8
2017-11-30T14:03:25.000Z
2021-03-02T03:16:01.000Z
inflateutils/exportmesh.py
arpruss/inflatemesh
ab4abfc7794fd4cf96f41bb797e1b2a61f687a46
[ "MIT" ]
2
2019-03-15T04:10:04.000Z
2021-01-11T17:44:31.000Z
inflateutils/exportmesh.py
arpruss/inflatemesh
ab4abfc7794fd4cf96f41bb797e1b2a61f687a46
[ "MIT" ]
2
2018-04-08T10:59:39.000Z
2021-01-28T03:37:57.000Z
from struct import pack from .vector import * from .formatdecimal import decimal from numbers import Number import os import sys try: basestring except: basestring = str def isColorTriangleList(polys): return isinstance(polys[0][1][0][0], Number) def toPolyhedra(polys): if isColorTriangleList(po...
33.517007
166
0.558149
601
4,927
4.574043
0.27787
0.003638
0.004365
0.022554
0.201528
0.120771
0.090215
0.069116
0.029101
0.029101
0
0.024005
0.306677
4,927
147
167
33.517007
0.780738
0.137
0
0.151786
0
0
0.040317
0
0.008929
0
0.00144
0.006803
0
1
0.071429
false
0
0.0625
0.008929
0.214286
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4b0bc52d1482cd0028c140868e692cfb38b3c0
3,982
py
Python
Assignment1/Identification/match_module.py
arywatt/FDS_2020_2021
392f360b219c6ef5e2c685da1f3c8aab7415ce32
[ "MIT" ]
null
null
null
Assignment1/Identification/match_module.py
arywatt/FDS_2020_2021
392f360b219c6ef5e2c685da1f3c8aab7415ce32
[ "MIT" ]
null
null
null
Assignment1/Identification/match_module.py
arywatt/FDS_2020_2021
392f360b219c6ef5e2c685da1f3c8aab7415ce32
[ "MIT" ]
1
2020-10-29T08:38:42.000Z
2020-10-29T08:38:42.000Z
import numpy as np from PIL import Image import matplotlib.pyplot as plt import histogram_module import dist_module def rgb2gray(rgb): r, g, b = rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2] gray = 0.2989 * r + 0.5870 * g + 0.1140 * b return gray # model_images - list of file names of model images # query_...
33.745763
101
0.633852
563
3,982
4.26643
0.250444
0.054954
0.035387
0.036636
0.17985
0.146128
0.11657
0.090758
0.070774
0.070774
0
0.013213
0.27775
3,982
117
102
34.034188
0.821975
0.301356
0
0.096774
0
0
0.008724
0
0
0
0
0.008547
0
1
0.064516
false
0
0.080645
0
0.193548
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4c8cdbc546fb237f365ef954c77cb12a3738d8
1,566
py
Python
dycco/__main__.py
rojalator/dycco
84ace8727aef84bb3d886cdaa3d3aef1089f1935
[ "MIT" ]
null
null
null
dycco/__main__.py
rojalator/dycco
84ace8727aef84bb3d886cdaa3d3aef1089f1935
[ "MIT" ]
1
2022-03-22T07:35:15.000Z
2022-03-22T09:15:44.000Z
dycco/__main__.py
rojalator/dycco
84ace8727aef84bb3d886cdaa3d3aef1089f1935
[ "MIT" ]
null
null
null
import argparse import logging import sys from .dycco import document def main(paths, output_dir, use_ascii:bool, escape_html:bool, single_file:bool): try: document(paths, output_dir, use_ascii, escape_html, single_file) except IOError as e: logging.error('Unable to open file: %s', e) ...
46.058824
121
0.707535
219
1,566
4.872146
0.43379
0.059044
0.056232
0.093721
0.128397
0.08716
0
0
0
0
0
0.00536
0.166028
1,566
33
122
47.454545
0.811639
0
0
0.074074
0
0
0.344189
0
0
0
0
0
0
1
0.037037
false
0
0.148148
0
0.296296
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4c9607e3defd3816cf4fbd7853e01e09dcb111
14,354
py
Python
jumpy/jumpy/ndarray.py
rghwer/testdocs
8fafa40407411ed7a3f8216e691e42e0c7d32083
[ "Apache-2.0" ]
13,006
2015-02-13T18:35:31.000Z
2022-03-18T12:11:44.000Z
jumpy/jumpy/ndarray.py
pxiuqin/deeplearning4j
e11ddf3c24d355b43d36431687b807c8561aaae4
[ "Apache-2.0" ]
5,319
2015-02-13T08:21:46.000Z
2019-06-12T14:56:50.000Z
jumpy/jumpy/ndarray.py
pxiuqin/deeplearning4j
e11ddf3c24d355b43d36431687b807c8561aaae4
[ "Apache-2.0" ]
4,719
2015-02-13T22:48:55.000Z
2022-03-22T07:25:36.000Z
################################################################################ # Copyright (c) 2015-2018 Skymind, Inc. # # This program and the accompanying materials are made available under the # terms of the Apache License, Version 2.0 which is available at # https://www.apache.org/licenses/LICENSE-2.0. # # Unless...
27.980507
106
0.544448
1,713
14,354
4.42732
0.161705
0.056962
0.026108
0.019778
0.396493
0.370649
0.337553
0.320675
0.307489
0.281646
0
0.008914
0.335656
14,354
512
107
28.035156
0.786388
0.0565
0
0.41
0
0
0.045182
0
0
0
0
0
0.0075
1
0.0825
false
0
0.0125
0.0125
0.2425
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4e94cca5bcc101399e2e8aec4db86507599854
4,839
py
Python
torchaudio/datasets/libritts.py
hahaxun/audio
87a1886ecfa83b398a2a9a09d9a94bd9dabc5cf5
[ "BSD-2-Clause" ]
1
2021-04-20T09:04:24.000Z
2021-04-20T09:04:24.000Z
torchaudio/datasets/libritts.py
hahaxun/audio
87a1886ecfa83b398a2a9a09d9a94bd9dabc5cf5
[ "BSD-2-Clause" ]
null
null
null
torchaudio/datasets/libritts.py
hahaxun/audio
87a1886ecfa83b398a2a9a09d9a94bd9dabc5cf5
[ "BSD-2-Clause" ]
null
null
null
import os from typing import Tuple import torchaudio from torch import Tensor from torch.utils.data import Dataset from torchaudio.datasets.utils import ( download_url, extract_archive, walk_files, ) URL = "train-clean-100" FOLDER_IN_ARCHIVE = "LibriTTS" _CHECKSUMS = { "http://www.openslr.org/60/dev-c...
32.046358
98
0.619963
589
4,839
4.887946
0.229202
0.020841
0.038902
0.047239
0.207711
0.207711
0.148663
0.097951
0.06669
0.041681
0
0.052543
0.260591
4,839
150
99
32.26
0.752096
0.198388
0
0
0
0
0.191614
0.059448
0
0
0
0
0
1
0.040404
false
0
0.060606
0.010101
0.171717
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4ed462393daeadb0c9bc3293879acfa5af3ab3
2,164
py
Python
Others/Source/19/19.2/barh_test.py
silence0201/Learn-Python
662da7c0e74221cedb445ba17d5cb1cd3af41c86
[ "MIT" ]
1
2018-05-30T01:38:23.000Z
2018-05-30T01:38:23.000Z
Others/Source/19/19.2/barh_test.py
silence0201/Learn-Python
662da7c0e74221cedb445ba17d5cb1cd3af41c86
[ "MIT" ]
null
null
null
Others/Source/19/19.2/barh_test.py
silence0201/Learn-Python
662da7c0e74221cedb445ba17d5cb1cd3af41c86
[ "MIT" ]
null
null
null
# coding: utf-8 ######################################################################### # 网站: <a href="http://www.crazyit.org">疯狂Java联盟</a> # # author yeeku.H.lee kongyeeku@163.com # # # # version...
46.042553
74
0.420055
221
2,164
4.004525
0.515837
0.090395
0.045198
0.047458
0.255367
0.255367
0.144633
0.090395
0.090395
0.090395
0
0.104625
0.390481
2,164
46
75
47.043478
0.566338
0.490296
0
0
0
0
0.128995
0
0
0
0
0
0
1
0
false
0
0.1
0
0.1
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4ed8a99839b3110a2db17a408cf4dde65b3291
2,336
py
Python
03_docker_compose/03_c_simple_case_with_mongodb_orm/app/app.py
kendny/study_docker
edb376fb69319a78e05f60faa5dcc88d527602c4
[ "BSD-2-Clause" ]
2
2019-05-09T01:41:16.000Z
2022-01-06T01:06:07.000Z
03_docker_compose/03_c_simple_case_with_mongodb_orm/app/app.py
walkacross/docker_in_practice
da24da76b4fa3eabca5004abd59d7eef7a48988b
[ "BSD-2-Clause" ]
null
null
null
03_docker_compose/03_c_simple_case_with_mongodb_orm/app/app.py
walkacross/docker_in_practice
da24da76b4fa3eabca5004abd59d7eef7a48988b
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Dec 18 20:13:57 2018 @author: allen """ import random, os, json, datetime, time from flask import Flask, Response from pymongo import MongoClient from bson import json_util app = Flask(__name__) MONGO_URI = "mongodb://mongodb:27017" # "mongodb:<con...
26.545455
110
0.630137
296
2,336
4.844595
0.435811
0.036262
0.027197
0.033473
0.114365
0.069735
0.069735
0.050209
0.050209
0
0
0.026913
0.188784
2,336
87
111
26.850575
0.729815
0.133562
0
0
0
0
0.169388
0.044898
0
0
0
0
0
1
0.075472
false
0
0.132075
0
0.377358
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d4f428d1c149bf1e2a1658ede1f6e9adcddbdd2
1,523
py
Python
goethe/eval/analogy_space.py
HPI-DeepLearning/wort2vek
bc91c2752a8516665d270c7a7a793ec484c970c4
[ "MIT" ]
4
2017-05-01T01:02:40.000Z
2022-02-03T16:14:19.000Z
goethe/eval/analogy_space.py
HPI-DeepLearning/wort2vek
bc91c2752a8516665d270c7a7a793ec484c970c4
[ "MIT" ]
6
2017-04-06T22:10:09.000Z
2017-04-06T22:10:57.000Z
goethe/eval/analogy_space.py
HPI-DeepLearning/wort2vek
bc91c2752a8516665d270c7a7a793ec484c970c4
[ "MIT" ]
null
null
null
#! /usr/bin/Python from gensim.models.keyedvectors import KeyedVectors from scipy import spatial from numpy import linalg import argparse import sys vector_file = sys.argv[1] if len(sys.argv) != 6: print('arguments wrong!') print(len(sys.argv)) exit() else: words = [sys.argv[2], sys.argv[3], sys.arg...
27.690909
91
0.644123
242
1,523
4.033058
0.297521
0.102459
0.098361
0.135246
0.110656
0.053279
0
0
0
0
0
0.064491
0.154957
1,523
54
92
28.203704
0.693862
0.06566
0
0.04878
0
0
0.137729
0
0
0
0
0
0
1
0
false
0
0.121951
0
0.121951
0.365854
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d5195b07f67a7785033de940e7003695bbf2ec4
2,497
py
Python
localgraphclustering/algorithms/eig2_nL.py
vishalbelsare/LocalGraphClustering
a6325350997932d548a876deb259c2387fc2c809
[ "MIT" ]
106
2017-09-06T04:47:02.000Z
2022-03-30T07:43:27.000Z
localgraphclustering/algorithms/eig2_nL.py
vishalbelsare/LocalGraphClustering
a6325350997932d548a876deb259c2387fc2c809
[ "MIT" ]
51
2017-09-06T02:22:09.000Z
2021-12-15T11:39:28.000Z
localgraphclustering/algorithms/eig2_nL.py
vishalbelsare/LocalGraphClustering
a6325350997932d548a876deb259c2387fc2c809
[ "MIT" ]
38
2017-09-04T21:45:13.000Z
2022-01-19T09:48:25.000Z
import numpy as np import scipy as sp import scipy.sparse.linalg as splinalg def eig2_nL(g, tol_eigs = 1.0e-6, normalize:bool = True, dim:int=1): """ DESCRIPTION ----------- Computes the eigenvector that corresponds to the second smallest eigenvalue of the normalized Laplacian matrix ...
33.293333
87
0.621946
353
2,497
4.260623
0.371105
0.031915
0.031915
0.043883
0.303191
0.292553
0.267287
0.240691
0.203457
0.163564
0
0.015292
0.26672
2,497
74
88
33.743243
0.806117
0.421706
0
0.086957
0
0
0.003597
0
0
0
0
0
0
1
0.086957
false
0
0.130435
0
0.304348
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d52775ef423ec088ebd9b5618d6a0b7639f157e
2,418
py
Python
setup.py
xames3/vdoxa
8fa945449bb34447ded0c421214c0252ff523d4a
[ "Apache-2.0" ]
1
2020-02-04T08:18:54.000Z
2020-02-04T08:18:54.000Z
setup.py
xames3/vdoxa
8fa945449bb34447ded0c421214c0252ff523d4a
[ "Apache-2.0" ]
null
null
null
setup.py
xames3/vdoxa
8fa945449bb34447ded0c421214c0252ff523d4a
[ "Apache-2.0" ]
null
null
null
# Copyright 2020 XAMES3. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agree...
31
72
0.715054
322
2,418
5.273292
0.562112
0.035336
0.015312
0.018846
0
0
0
0
0
0
0
0.007371
0.158395
2,418
77
73
31.402597
0.827027
0.460711
0
0.04878
0
0
0.269592
0
0
0
0
0
0
1
0.02439
false
0
0.04878
0
0.097561
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d52ada1ae418220d17ef038d3cc8e85cc6253d2
2,938
py
Python
little_questions/utils/log.py
HelloChatterbox/little_questions
04bee86244b42fdaed9f8d010c2f83037ad753f6
[ "MIT" ]
null
null
null
little_questions/utils/log.py
HelloChatterbox/little_questions
04bee86244b42fdaed9f8d010c2f83037ad753f6
[ "MIT" ]
null
null
null
little_questions/utils/log.py
HelloChatterbox/little_questions
04bee86244b42fdaed9f8d010c2f83037ad753f6
[ "MIT" ]
null
null
null
# Copyright 2017 Mycroft AI Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin...
28.803922
74
0.596664
362
2,938
4.776243
0.400552
0.057837
0.037594
0.04627
0.08849
0
0
0
0
0
0
0.018276
0.273656
2,938
101
75
29.089109
0.79194
0.357386
0
0.185185
0
0
0.063562
0.012603
0
0
0
0
0
1
0.148148
false
0
0.055556
0
0.407407
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d53e848dc1be11f4d81bb7ffe655fc1c2f327c3
1,923
py
Python
cvstudio/view/widgets/loading_dialog/loading_dialog.py
haruiz/PytorchCvStudio
ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef
[ "MIT" ]
32
2019-10-31T03:10:52.000Z
2020-12-23T11:50:53.000Z
cvstudio/view/widgets/loading_dialog/loading_dialog.py
haruiz/CvStudio
ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef
[ "MIT" ]
19
2019-10-31T15:06:05.000Z
2020-06-15T02:21:55.000Z
cvstudio/view/widgets/loading_dialog/loading_dialog.py
haruiz/PytorchCvStudio
ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef
[ "MIT" ]
8
2019-10-31T03:32:50.000Z
2020-07-17T20:47:37.000Z
import os from PyQt5 import QtCore from PyQt5.QtCore import QRect, QPoint from PyQt5.QtGui import QMovie, QCloseEvent, QShowEvent from PyQt5.QtWidgets import QDialog, QLabel, QVBoxLayout, QApplication, QWidget class QLoadingDialog(QDialog): def __init__(self, parent=None): super(QLoadingDialog, self).__i...
36.283019
95
0.637546
200
1,923
6.05
0.43
0.044628
0.018182
0.026446
0.036364
0
0
0
0
0
0
0.009729
0.25169
1,923
52
96
36.980769
0.831133
0.034841
0
0
0
0
0.021047
0.01565
0
0
0
0
0
1
0.116279
false
0
0.116279
0
0.302326
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d54ea522a32fa91aca889c9606f036f2de763c3
3,935
py
Python
Assets/Editor/PostprocessBuildPlayer_MpireNxusMeasurementPostBuildiOS.py
mpire-nxus/nxus_unity_sdk
34a1ebfc588c47c1c71fae11f29e82c1172c6dc2
[ "MIT" ]
1
2018-03-13T02:44:15.000Z
2018-03-13T02:44:15.000Z
Assets/Editor/PostprocessBuildPlayer_MpireNxusMeasurementPostBuildiOS.py
mpire-nxus/nxus_unity_sdk
34a1ebfc588c47c1c71fae11f29e82c1172c6dc2
[ "MIT" ]
null
null
null
Assets/Editor/PostprocessBuildPlayer_MpireNxusMeasurementPostBuildiOS.py
mpire-nxus/nxus_unity_sdk
34a1ebfc588c47c1c71fae11f29e82c1172c6dc2
[ "MIT" ]
null
null
null
#!/usr/bin/env python import sys import re from subprocess import Popen, PIPE import argparse from pbxproj import XcodeProject, TreeType from pbxproj import FileOptions def main(): parser = argparse.ArgumentParser(description="MpireNxusMeasurement post build iOS script") parser.add_argument('ios_project_path...
38.578431
164
0.706226
516
3,935
5.131783
0.317829
0.086103
0.096299
0.087236
0.150302
0.135196
0.064955
0.064955
0
0
0
0.003803
0.198221
3,935
101
165
38.960396
0.835499
0.179161
0
0
0
0
0.175592
0.041719
0
0
0
0
0
1
0.118644
false
0
0.101695
0
0.288136
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d55a06354d86f35af5fb38858161328b7581a23
10,786
py
Python
hack/dev/gh-replay-events.py
sm43/pipelines-as-code
bd21e48c96ab128d533701ecd1a2df7a0d136d65
[ "Apache-2.0" ]
null
null
null
hack/dev/gh-replay-events.py
sm43/pipelines-as-code
bd21e48c96ab128d533701ecd1a2df7a0d136d65
[ "Apache-2.0" ]
null
null
null
hack/dev/gh-replay-events.py
sm43/pipelines-as-code
bd21e48c96ab128d533701ecd1a2df7a0d136d65
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Author: Chmouel Boudjnah <chmouel@chmouel.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...
30.555241
113
0.623215
1,409
10,786
4.610362
0.203691
0.039717
0.022167
0.020474
0.356681
0.29064
0.2246
0.197506
0.187038
0.175954
0
0.012112
0.242166
10,786
352
114
30.642045
0.782603
0.067495
0
0.300676
0
0.016892
0.262225
0.080968
0
0
0
0
0
1
0.040541
false
0.003378
0.047297
0
0.128378
0.060811
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d58e721508a643ec9487a7f661ca1a66cd5a971
3,659
py
Python
076_Minimum_Window_Substring.py
joshlyman/Josh-LeetCode
cc9e2cc406d2cbd5a90ee579efbcaeffb842c5ed
[ "MIT" ]
null
null
null
076_Minimum_Window_Substring.py
joshlyman/Josh-LeetCode
cc9e2cc406d2cbd5a90ee579efbcaeffb842c5ed
[ "MIT" ]
null
null
null
076_Minimum_Window_Substring.py
joshlyman/Josh-LeetCode
cc9e2cc406d2cbd5a90ee579efbcaeffb842c5ed
[ "MIT" ]
null
null
null
# Other solution # V2 def minWindow(s, t): need = collections.Counter(t) #hash table to store char frequency missing = len(t) #total number of chars we care start, end = 0, 0 i = 0 for j, char in enumerate(s, 1): #index j from 1 if need[char] > 0...
36.959596
179
0.52774
556
3,659
3.482014
0.296763
0.011364
0.018595
0.01343
0.052686
0.015496
0.015496
0.015496
0
0
0
0.017048
0.390817
3,659
98
180
37.336735
0.848811
0.52446
0
0.24
0
0
0
0
0
0
0
0
0
1
0.04
false
0
0
0
0.12
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d5d633b271390741583d9b310e4391f6dfe899f
4,673
py
Python
fs_image/rpm/storage/tests/storage_base_test.py
singhaditya28/fs_image
3d122da48eab8b26e5add6754cc1f91296139c58
[ "MIT" ]
null
null
null
fs_image/rpm/storage/tests/storage_base_test.py
singhaditya28/fs_image
3d122da48eab8b26e5add6754cc1f91296139c58
[ "MIT" ]
null
null
null
fs_image/rpm/storage/tests/storage_base_test.py
singhaditya28/fs_image
3d122da48eab8b26e5add6754cc1f91296139c58
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import unittest from unittest.mock import patch, MagicMock from typing import List, Tuple from .. import Storage # M...
41.723214
79
0.558742
549
4,673
4.661202
0.380692
0.014068
0.033216
0.029699
0.116843
0.094177
0.068386
0.045721
0.031262
0
0
0.004627
0.35245
4,673
111
80
42.099099
0.841044
0.283544
0
0.077922
0
0
0.059552
0.006191
0
0
0
0
0.116883
1
0.025974
false
0
0.051948
0
0.116883
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d5e98fd28e904d5e1f509a5b35e66ec3047cc56
353
py
Python
lecture11/subsets.py
nd-cse-30872-fa20/cse-30872-fa20-examples
7a991a0499e03bf91ac8ba40c99245d5d926e20c
[ "MIT" ]
null
null
null
lecture11/subsets.py
nd-cse-30872-fa20/cse-30872-fa20-examples
7a991a0499e03bf91ac8ba40c99245d5d926e20c
[ "MIT" ]
null
null
null
lecture11/subsets.py
nd-cse-30872-fa20/cse-30872-fa20-examples
7a991a0499e03bf91ac8ba40c99245d5d926e20c
[ "MIT" ]
2
2020-08-10T15:05:39.000Z
2020-08-12T15:16:01.000Z
#!/usr/bin/env python3 import itertools # Constants NUMBERS = range(0, 10) # Main Execution def main(): count = 0 for length in range(0, len(NUMBERS) + 1): for subset in itertools.combinations(NUMBERS, length): if sum(subset) % 3 == 0: count += 1 print(count) if __...
16.045455
62
0.580737
45
353
4.377778
0.6
0.060914
0
0
0
0
0
0
0
0
0
0.040161
0.294618
353
21
63
16.809524
0.751004
0.130312
0
0
0
0
0.026316
0
0
0
0
0
0
1
0.090909
false
0
0.090909
0
0.181818
0.090909
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d5ec924b9a968b7509ed5badaef99e8de842bde
21,520
py
Python
src/toil/batchSystems/abstractBatchSystem.py
Hexotical/toil
312b6e1f221ee7f7f187dd6dbfce1aecffd00e09
[ "Apache-2.0" ]
348
2018-07-08T03:38:28.000Z
2022-03-11T18:57:44.000Z
src/toil/batchSystems/abstractBatchSystem.py
Hexotical/toil
312b6e1f221ee7f7f187dd6dbfce1aecffd00e09
[ "Apache-2.0" ]
1,700
2018-07-05T18:28:49.000Z
2022-03-31T14:09:04.000Z
src/toil/batchSystems/abstractBatchSystem.py
Hexotical/toil
312b6e1f221ee7f7f187dd6dbfce1aecffd00e09
[ "Apache-2.0" ]
126
2018-07-11T18:59:29.000Z
2022-01-24T03:14:02.000Z
# Copyright (C) 2015-2021 Regents of the University of California # # 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 app...
42.613861
188
0.660037
2,646
21,520
5.345805
0.239229
0.020997
0.009897
0.02029
0.12796
0.114811
0.107741
0.096854
0.091481
0.088936
0
0.00187
0.279275
21,520
504
189
42.698413
0.910123
0.535781
0
0.215116
0
0
0.093696
0.018418
0
0
0
0.005952
0.011628
1
0.145349
false
0.017442
0.075581
0
0.372093
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d61d078db118ba78d2af9ae995c1fa84aa2f450
2,306
py
Python
arfit/cp_utils.py
farr/arfit
7ff6def331ef98f43f623da2d9867d1ac967448b
[ "MIT" ]
5
2015-04-29T21:46:52.000Z
2021-05-13T04:59:23.000Z
arfit/cp_utils.py
afcarl/arfit
7ff6def331ef98f43f623da2d9867d1ac967448b
[ "MIT" ]
null
null
null
arfit/cp_utils.py
afcarl/arfit
7ff6def331ef98f43f623da2d9867d1ac967448b
[ "MIT" ]
2
2015-12-03T12:08:32.000Z
2018-05-26T16:20:31.000Z
import carmcmc as cm from gatspy.periodic import LombScargleFast import matplotlib.pyplot as plt import numpy as np def csample_from_files(datafile, chainfile, p, q): data = np.loadtxt(datafile) times, tind = np.unique(data[:,0], return_index=True) data = data[tind, :] chain = np.loadtxt(chainfil...
37.193548
131
0.691674
359
2,306
4.328691
0.320334
0.092021
0.079794
0.095238
0.310811
0.258687
0.226512
0.171171
0.132561
0.132561
0
0.027509
0.148742
2,306
61
132
37.803279
0.764137
0
0
0.05
0
0
0.031223
0
0
0
0
0
0.025
1
0.1
false
0
0.1
0
0.25
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d65143322eb65bf3b9638c414999e21eb0323db
1,319
py
Python
pdiffcopy/hashing.py
xolox/python-pdiffcopy
ed765af92c0c0823818d545e61384753912a5725
[ "MIT" ]
5
2020-03-07T00:01:24.000Z
2020-12-03T03:44:26.000Z
pdiffcopy/hashing.py
xolox/python-pdiffcopy
ed765af92c0c0823818d545e61384753912a5725
[ "MIT" ]
null
null
null
pdiffcopy/hashing.py
xolox/python-pdiffcopy
ed765af92c0c0823818d545e61384753912a5725
[ "MIT" ]
null
null
null
# Fast large file synchronization inspired by rsync. # # Author: Peter Odding <peter@peterodding.com> # Last Change: March 6, 2020 # URL: https://pdiffcopy.readthedocs.io """Parallel hashing of files using :mod:`multiprocessing` and :mod:`pdiffcopy.mp`.""" # Standard library modules. import functools import hashlib i...
31.404762
106
0.720243
165
1,319
5.654545
0.587879
0.057878
0.036442
0
0
0
0
0
0
0
0
0.00553
0.177407
1,319
41
107
32.170732
0.854378
0.353298
0
0
0
0
0.032569
0
0
0
0
0
0
1
0.1
false
0
0.25
0
0.4
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d65c01cd0ad11126b7931d199f6927d742a24e8
2,170
py
Python
pyscf/nao/test/test_0003_na2_nao.py
robert-anderson/pyscf
cdc56e168cb15f47e8cdc791a92d689fa9b655af
[ "Apache-2.0" ]
3
2021-02-28T00:52:53.000Z
2021-03-01T06:23:33.000Z
pyscf/nao/test/test_0003_na2_nao.py
robert-anderson/pyscf
cdc56e168cb15f47e8cdc791a92d689fa9b655af
[ "Apache-2.0" ]
36
2018-08-22T19:44:03.000Z
2020-05-09T10:02:36.000Z
pyscf/nao/test/test_0003_na2_nao.py
robert-anderson/pyscf
cdc56e168cb15f47e8cdc791a92d689fa9b655af
[ "Apache-2.0" ]
4
2018-02-14T16:28:28.000Z
2019-08-12T16:40:30.000Z
# Copyright 2014-2018 The PySCF Developers. 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 appl...
31.449275
87
0.657604
273
2,170
5.120879
0.553114
0.042918
0.018598
0.02289
0.040057
0.040057
0.040057
0
0
0
0
0.050155
0.25576
2,170
68
88
31.911765
0.81548
0.278802
0
0.086957
0
0
0.410323
0.042581
0
0
0
0
0.065217
1
0.021739
false
0.021739
0.130435
0
0.195652
0.065217
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d66c8be8ed85e591a27c5733a7d2e134250bc39
9,393
py
Python
netbox/extras/forms/filtersets.py
cybarox/netbox
ea197eff5f4fe925bb354d1375912decd81752bd
[ "Apache-2.0" ]
null
null
null
netbox/extras/forms/filtersets.py
cybarox/netbox
ea197eff5f4fe925bb354d1375912decd81752bd
[ "Apache-2.0" ]
null
null
null
netbox/extras/forms/filtersets.py
cybarox/netbox
ea197eff5f4fe925bb354d1375912decd81752bd
[ "Apache-2.0" ]
null
null
null
from django import forms from django.contrib.auth.models import User from django.contrib.contenttypes.models import ContentType from django.utils.translation import gettext as _ from dcim.models import DeviceRole, DeviceType, Platform, Region, Site, SiteGroup from extras.choices import * from extras.models import * fr...
29.261682
117
0.639519
783
9,393
7.453384
0.189017
0.093557
0.077108
0.063057
0.447395
0.39085
0.347498
0.332077
0.322995
0.275017
0
0
0.251144
9,393
320
118
29.353125
0.829684
0
0
0.366667
0
0
0.118918
0.025232
0
0
0
0
0
1
0
false
0
0.04
0
0.246667
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d672137217c3f190c65f38cc034a58e8ab7815b
1,440
py
Python
dns/rdtypes/ANY/__init__.py
Ashiq5/dnspython
5449af5318d88bada34f661247f3bcb16f58f057
[ "ISC" ]
null
null
null
dns/rdtypes/ANY/__init__.py
Ashiq5/dnspython
5449af5318d88bada34f661247f3bcb16f58f057
[ "ISC" ]
null
null
null
dns/rdtypes/ANY/__init__.py
Ashiq5/dnspython
5449af5318d88bada34f661247f3bcb16f58f057
[ "ISC" ]
null
null
null
# Copyright (C) Dnspython Contributors, see LICENSE for text of ISC license # Copyright (C) 2003-2007, 2009-2011 Nominum, Inc. # # Permission to use, copy, modify, and distribute this software and its # documentation for any purpose with or without fee is hereby granted, # provided that the above copyright notice and ...
22.5
75
0.620833
180
1,440
4.944444
0.705556
0.040449
0
0
0
0
0
0
0
0
0
0.022367
0.254861
1,440
63
76
22.857143
0.807083
0.605556
0
0
0
0
0.326642
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d67812696614c7eac2050cda2d994e16e9201d7
10,519
py
Python
01_test.py
KhubbatulinMark/DCase2020-Task-2-on-Wigner-Ville-transform
6653d7abbaafe09fb17768d9902bb77db24945d4
[ "MIT" ]
3
2020-09-18T10:33:37.000Z
2020-11-04T12:53:50.000Z
01_test.py
KhubbatulinMark/DCase2020-Task-2-on-Wigner-Ville-transform
6653d7abbaafe09fb17768d9902bb77db24945d4
[ "MIT" ]
4
2020-09-26T01:07:55.000Z
2022-02-10T01:30:27.000Z
01_test.py
KhubbatulinMark/DCase2020-Task-2-on-Wigner-Ville-transform
6653d7abbaafe09fb17768d9902bb77db24945d4
[ "MIT" ]
null
null
null
""" @file 01_test.py @brief Script for test @author Toshiki Nakamura, Yuki Nikaido, and Yohei Kawaguchi (Hitachi Ltd.) Copyright (C) 2020 Hitachi, Ltd. All right reserved. """ ######################################################################## # import default python-library ###############################...
42.587045
118
0.456412
1,032
10,519
4.416667
0.197674
0.026108
0.019746
0.017552
0.285432
0.224002
0.212154
0.191751
0.148749
0.097411
0
0.004042
0.341477
10,519
246
119
42.760163
0.653963
0.166746
0
0.2
0
0
0.127278
0.046739
0
0
0
0
0
1
0.023077
false
0
0.084615
0
0.123077
0.061538
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d68067044bd41e0c94f3b4e115e6a6243c834c1
1,247
py
Python
src/text_split/split.py
i1123581321/word_split
6401cdc37f58aa8718793dd7cb9bf4d3a4b690a4
[ "MIT" ]
null
null
null
src/text_split/split.py
i1123581321/word_split
6401cdc37f58aa8718793dd7cb9bf4d3a4b690a4
[ "MIT" ]
null
null
null
src/text_split/split.py
i1123581321/word_split
6401cdc37f58aa8718793dd7cb9bf4d3a4b690a4
[ "MIT" ]
null
null
null
import argparse import os parser = argparse.ArgumentParser(description="a simple parser") parser.add_argument("filename", type=str) parser.add_argument("lineno", nargs="+", type=int) parser.add_argument("--same_length", action=argparse.BooleanOptionalAction) def main(): args = parser.parse_args() filename =...
30.414634
77
0.585405
149
1,247
4.845638
0.42953
0.055402
0.070637
0.099723
0.16205
0
0
0
0
0
0
0.018994
0.282277
1,247
40
78
31.175
0.78771
0
0
0.0625
0
0
0.061748
0
0
0
0
0
0
1
0.03125
false
0
0.0625
0
0.09375
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d68e4a866db0948470d395c5ba6d5ad5676d177
23,037
py
Python
src/sentry/models/event.py
Ali-Tahir/sentry
aa7b306c5ea671ac002a3524982563679557cb31
[ "BSD-3-Clause" ]
null
null
null
src/sentry/models/event.py
Ali-Tahir/sentry
aa7b306c5ea671ac002a3524982563679557cb31
[ "BSD-3-Clause" ]
null
null
null
src/sentry/models/event.py
Ali-Tahir/sentry
aa7b306c5ea671ac002a3524982563679557cb31
[ "BSD-3-Clause" ]
null
null
null
from __future__ import absolute_import import six import string import warnings import pytz from collections import OrderedDict from dateutil.parser import parse as parse_date from django.db import models from django.utils import timezone from django.utils.translation import ugettext_lazy as _ from hashlib import md5...
33.778592
99
0.623996
2,869
23,037
4.874869
0.19519
0.03003
0.020449
0.010725
0.152224
0.110396
0.088374
0.075147
0.051266
0.038253
0
0.001451
0.282242
23,037
681
100
33.828194
0.844391
0.282545
0
0.186441
0
0
0.085907
0.002773
0
0
0
0.004405
0.002421
1
0.1477
false
0
0.067797
0.03632
0.46247
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d6b89b1e8e521a2e81232c6e63ef4c5529270e8
2,920
py
Python
Assignment3/src/data/make_nowcast_dataset.py
shikashyam/BigDataSystemsCoursework
d7f9cabbfb18b0e3303292b65af1ffd530e24ccc
[ "MIT" ]
null
null
null
Assignment3/src/data/make_nowcast_dataset.py
shikashyam/BigDataSystemsCoursework
d7f9cabbfb18b0e3303292b65af1ffd530e24ccc
[ "MIT" ]
null
null
null
Assignment3/src/data/make_nowcast_dataset.py
shikashyam/BigDataSystemsCoursework
d7f9cabbfb18b0e3303292b65af1ffd530e24ccc
[ "MIT" ]
4
2022-02-12T23:59:54.000Z
2022-02-16T22:53:32.000Z
""" Makes training and test dataset for nowcasting model using SEVIR """ # -*- coding: utf-8 -*- import argparse import logging import os import h5py os.environ["HDF5_USE_FILE_LOCKING"]='FALSE' import sys import numpy as np import tensorflow as tf from nowcast_generator import get_nowcast_test_generator # parser = ...
42.941176
117
0.7
433
2,920
4.542725
0.297921
0.030503
0.017794
0.028978
0.213523
0.155567
0.141332
0.104728
0.104728
0
0
0.018444
0.14589
2,920
67
118
43.58209
0.770249
0.373973
0
0.057143
0
0
0.10962
0.011745
0
0
0
0
0
1
0.057143
false
0
0.228571
0
0.285714
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d6e1f190b9f10fc581499ca4a914cfa2670ffb2
9,576
py
Python
blender-plugin/import_cast.py
rtasan/ApexCastImporter
17f833ab8ff9757e295ca8eadb0cb210bfdd6476
[ "MIT" ]
null
null
null
blender-plugin/import_cast.py
rtasan/ApexCastImporter
17f833ab8ff9757e295ca8eadb0cb210bfdd6476
[ "MIT" ]
3
2021-05-24T12:29:43.000Z
2021-05-28T13:07:39.000Z
blender-plugin/import_cast.py
rtasan/ApexCastImporter
17f833ab8ff9757e295ca8eadb0cb210bfdd6476
[ "MIT" ]
null
null
null
# The Original importer was created by Nick # Copyright (c) 2020 Nick import bpy import bmesh import os import array import math from mathutils import * from bpy_extras.image_utils import load_image from .cast import Cast, Model, Animation, Curve, NotificationTrack, Mesh, Skeleton, Bone, Material, File def utilityB...
33.957447
130
0.631788
1,041
9,576
5.738713
0.290106
0.012052
0.021426
0.021091
0.152662
0.108637
0.060931
0.042518
0.042518
0.042518
0
0.008635
0.262322
9,576
281
131
34.078292
0.837061
0.064327
0
0.091837
0
0
0.042627
0
0
0
0.000448
0
0
1
0.045918
false
0.005102
0.091837
0
0.178571
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d72ea525d5fca207b00f29574de0ed2864d8b1b
7,229
py
Python
cigeo/admin.py
CzechInvest/ciis
c6102598f564a717472e5e31e7eb894bba2c8104
[ "MIT" ]
1
2019-05-26T22:24:01.000Z
2019-05-26T22:24:01.000Z
cigeo/admin.py
CzechInvest/ciis
c6102598f564a717472e5e31e7eb894bba2c8104
[ "MIT" ]
6
2019-01-22T14:53:43.000Z
2020-09-22T16:20:28.000Z
cigeo/admin.py
CzechInvest/ciis
c6102598f564a717472e5e31e7eb894bba2c8104
[ "MIT" ]
null
null
null
from django.contrib import admin from django.contrib.gis import geos from leaflet.admin import LeafletGeoAdmin, LeafletGeoAdminMixin from .models import Lau1 from .models import Nuts3 from .models import Airport from .models import Road from .models import PublicTransportStop from .models import RailwayStation from dja...
30.761702
80
0.580025
727
7,229
5.590096
0.240715
0.024606
0.023622
0.039862
0.218996
0.176673
0.159449
0.159449
0.159449
0.159449
0
0.025725
0.327846
7,229
234
81
30.893162
0.810661
0.080924
0
0.174699
0
0
0.030027
0
0
0
0
0
0
1
0.048193
false
0
0.084337
0
0.385542
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d733960d2eb830da7ca11bb10495536367425c3
6,207
py
Python
pycs/spells/hunters_mark.py
dwagon/pycs
4d02acbf380526d3bf0380f6bb8b757a827024b8
[ "MIT" ]
null
null
null
pycs/spells/hunters_mark.py
dwagon/pycs
4d02acbf380526d3bf0380f6bb8b757a827024b8
[ "MIT" ]
null
null
null
pycs/spells/hunters_mark.py
dwagon/pycs
4d02acbf380526d3bf0380f6bb8b757a827024b8
[ "MIT" ]
null
null
null
"""https://www.dndbeyond.com/spells/hunters-mark""" from unittest.mock import patch import dice from pycs.constant import ActionCategory from pycs.constant import SpellType from pycs.creature import Creature from pycs.effect import Effect from pycs.gear import Shortbow from pycs.spell import SpellAction from pycs.spel...
41.10596
85
0.475914
584
6,207
4.943493
0.296233
0.049532
0.047108
0.043644
0.283339
0.254243
0.241773
0.226533
0.120887
0.120887
0
0.005668
0.204124
6,207
150
86
41.38
0.578745
0.161592
0
0.180723
0
0
0.078366
0.008396
0
0
0
0
0.084337
1
0.13253
false
0
0.108434
0
0.349398
0.060241
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5d7596fcdc1125f69dea760f3f07ca8ccf07185d
7,509
py
Python
src/pose/visualizations/visualizations.py
Idein/chainer-hand-pose
45c7b629a74bf13da8cc9b47d0ded7099c139e9b
[ "Apache-2.0" ]
11
2019-12-14T07:55:52.000Z
2021-06-22T06:38:34.000Z
src/pose/visualizations/visualizations.py
terasakisatoshi/chainer-hand-pose
a47e0c61c4fea3369db566eea3d539d1c9398bf7
[ "Apache-2.0" ]
1
2020-06-17T21:39:48.000Z
2020-06-26T13:16:43.000Z
src/pose/visualizations/visualizations.py
terasakisatoshi/chainer-hand-pose
a47e0c61c4fea3369db566eea3d539d1c9398bf7
[ "Apache-2.0" ]
3
2019-12-11T13:47:54.000Z
2020-10-23T07:10:15.000Z
import logging logger = logging.getLogger(__name__) import random import chainercv import numpy as np from matplotlib import pyplot as plt from mpl_toolkits.mplot3d import Axes3D # NOQA from pose.hand_dataset.geometry_utils import normalize_joint_zyx from pose.hand_dataset.image_utils import normalize_depth # Dec...
31.953191
96
0.632574
1,172
7,509
3.888225
0.162116
0.02765
0.03138
0.0316
0.681589
0.666228
0.658986
0.623875
0.57889
0.57889
0
0.027383
0.231589
7,509
234
97
32.089744
0.762392
0.085764
0
0.622857
0
0
0.042756
0
0
0
0
0
0
1
0.045714
false
0
0.057143
0
0.125714
0.011429
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
536f43c7085300c239b6e7cb90378b2df33381ad
1,134
py
Python
tools/nn/speaker.py
mikiec84/speaking_detection
ed680138627c156e1f7b0af20d6517e2bea754cc
[ "MIT" ]
null
null
null
tools/nn/speaker.py
mikiec84/speaking_detection
ed680138627c156e1f7b0af20d6517e2bea754cc
[ "MIT" ]
null
null
null
tools/nn/speaker.py
mikiec84/speaking_detection
ed680138627c156e1f7b0af20d6517e2bea754cc
[ "MIT" ]
null
null
null
import os import skimage.io from torch.nn import Module import torch.nn from torchvision.models import resnet18 from nn.speaker_dataset import Dataset # @UnusedImport os.environ['TORCH_MODEL_ZOO'] = '../data/' VIDTIMIT_PATH = '../data/vidtimit/' skimage.io.use_plugin('pil') class Net(Module): def __init__(s...
23.625
74
0.613757
153
1,134
4.424837
0.470588
0.051699
0.050222
0.076809
0.100443
0
0
0
0
0
0
0.014925
0.231922
1,134
47
75
24.12766
0.762342
0.078483
0
0.125
0
0
0.085495
0.026897
0
0
0
0
0
1
0.125
false
0
0.1875
0
0.4375
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
536ff8da70c0647265f2448d9db35e0d757a366c
1,551
py
Python
tensorflow_model_analysis/util_test.py
mdreves/model-analysis
73760b27b763e322a92ea80ff0a768ad9ef74526
[ "Apache-2.0" ]
null
null
null
tensorflow_model_analysis/util_test.py
mdreves/model-analysis
73760b27b763e322a92ea80ff0a768ad9ef74526
[ "Apache-2.0" ]
null
null
null
tensorflow_model_analysis/util_test.py
mdreves/model-analysis
73760b27b763e322a92ea80ff0a768ad9ef74526
[ "Apache-2.0" ]
null
null
null
# Copyright 2018 Google LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
32.3125
74
0.691812
244
1,551
4.295082
0.479508
0.057252
0.015267
0.019084
0.14313
0.062977
0.022901
0
0
0
0
0.040388
0.201805
1,551
47
75
33
0.806139
0.419084
0
0
0
0
0.077185
0
0
0
0
0
0.208333
1
0.083333
false
0
0.208333
0
0.375
0.041667
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5370c3d3d7c64120cfceac3826e677a88c4d71af
3,556
py
Python
laia/data/transforms/vision/random_beta_morphology.py
eivtho/PyLaia
2a7a6e2eeb9b5af68c0faed0c564b02063e72be0
[ "MIT" ]
89
2018-12-12T23:06:26.000Z
2022-02-03T09:04:21.000Z
laia/data/transforms/vision/random_beta_morphology.py
eivtho/PyLaia
2a7a6e2eeb9b5af68c0faed0c564b02063e72be0
[ "MIT" ]
30
2019-03-06T14:29:48.000Z
2022-03-16T14:53:43.000Z
laia/data/transforms/vision/random_beta_morphology.py
jpuigcerver/PyLaia
1b2e864247f1bfb8d95ac1910de9c52df71c017a
[ "MIT" ]
26
2018-12-13T17:48:19.000Z
2022-02-28T12:52:29.000Z
from typing import List, Tuple, Union import numpy as np import scipy.special from PIL import Image, ImageFilter class RandomBetaMorphology: def __init__( self, filter_size_min: int, filter_size_max: int, alpha: float, beta: float ) -> None: assert filter_size_min % 2 != 0, "Filter size must ...
32.327273
86
0.615298
461
3,556
4.425163
0.240781
0.191176
0.095588
0.041667
0.385784
0.361765
0.311765
0.291176
0.258824
0.258824
0
0.010365
0.267435
3,556
109
87
32.623853
0.772745
0
0
0.224719
0
0
0.070304
0.031215
0
0
0
0
0.022472
1
0.101124
false
0
0.067416
0.022472
0.280899
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5374082003f5a0ab7717d7cbdda9e4ca3ac483ea
1,236
py
Python
Concurrency/codeSample/Part4_Thread_Synchronuzation_Primitives/sema_signal.py
Chyi341152/pyConPaper
851190d59f8dc85b4f2a0b47c6505edd0367a6fe
[ "MIT" ]
1
2018-05-30T02:36:46.000Z
2018-05-30T02:36:46.000Z
Concurrency/codeSample/Part4_Thread_Synchronuzation_Primitives/sema_signal.py
Chyi341152/pyConPaper
851190d59f8dc85b4f2a0b47c6505edd0367a6fe
[ "MIT" ]
null
null
null
Concurrency/codeSample/Part4_Thread_Synchronuzation_Primitives/sema_signal.py
Chyi341152/pyConPaper
851190d59f8dc85b4f2a0b47c6505edd0367a6fe
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding:utf-8 -*- # sema_signal.py # # An example of using a semaphore for signaling between threads import threading import time done = threading.Semaphore(0) # Resource control. item = None def producer(): global item print("I'm the producer and I produce data.") ...
29.428571
145
0.669903
163
1,236
5.07362
0.546012
0.029021
0.016929
0
0
0
0
0
0
0
0
0.011727
0.2411
1,236
41
146
30.146341
0.869936
0.207929
0
0
0
0
0.2832
0
0
0
0
0
0
1
0.095238
false
0
0.095238
0
0.190476
0.285714
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5375dec1385aae371f742bbb1feff08c0d14da3b
3,199
py
Python
temp_wc_analysis/analysis.py
KarrLab/wc_sim
5b0ee03c3d19193fa67a3797d4258b753e6bc576
[ "MIT" ]
8
2018-03-27T21:35:25.000Z
2022-01-18T08:32:20.000Z
temp_wc_analysis/analysis.py
KarrLab/wc_sim
5b0ee03c3d19193fa67a3797d4258b753e6bc576
[ "MIT" ]
114
2018-02-27T14:14:39.000Z
2020-12-30T15:06:51.000Z
temp_wc_analysis/analysis.py
KarrLab/wc_sim
5b0ee03c3d19193fa67a3797d4258b753e6bc576
[ "MIT" ]
2
2019-04-05T16:17:28.000Z
2020-05-17T12:55:20.000Z
'''Analysis utility functions. :Author: Jonathan Karr <karr@mssm.edu> :Date: 2016-03-26 :Copyright: 2016-2018, Karr Lab :License: MIT ''' # TODO(Arthur): IMPORTANT: refactor and replace from matplotlib import pyplot from matplotlib import ticker from wc_lang import Model, Submodel from scipy.constants import Avogadr...
29.081818
96
0.56924
356
3,199
5
0.404494
0.020225
0.039326
0.042135
0.023596
0
0
0
0
0
0
0.024256
0.316974
3,199
109
97
29.348624
0.790389
0.102845
0
0.057143
0
0.014286
0.073983
0.02244
0
0
0
0.009174
0
1
0.014286
false
0
0.085714
0
0.1
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5378047f0579efdd010c7d57b8aefd313753aa1d
907
py
Python
setup.py
bstuddard/bonsai
3610fc50a3b24818288d850048c2a23306215367
[ "MIT" ]
26
2021-07-18T14:52:47.000Z
2022-01-27T10:35:44.000Z
setup.py
bstuddard/bonsai
3610fc50a3b24818288d850048c2a23306215367
[ "MIT" ]
null
null
null
setup.py
bstuddard/bonsai
3610fc50a3b24818288d850048c2a23306215367
[ "MIT" ]
3
2021-07-20T03:25:22.000Z
2021-08-17T04:06:27.000Z
from setuptools import setup, find_packages with open("README.md", "r") as readme_file: readme = readme_file.read() requirements = [ 'xgboost>=0.90', 'catboost>=0.26', 'bayesian-optimization>=1.2.0', 'numpy>=1.19.5', 'pandas>=1.1.5', 'matplotlib>=3.2.2', 'seaborn>=0.11.1', 'plotly>...
25.914286
65
0.607497
113
907
4.80531
0.610619
0.104972
0.138122
0.143646
0
0
0
0
0
0
0
0.052705
0.205072
907
35
66
25.914286
0.700416
0
0
0
0
0
0.437225
0.055066
0
0
0
0
0
1
0
false
0
0.03125
0
0.03125
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
537b221bff7d480fcdf886ab83757cc48372b358
823
py
Python
_scripts/increment_version.py
clockhart/pathogen
1764d4a7d2dd7c1f5dcc08afc016ec4edf809c36
[ "MIT" ]
null
null
null
_scripts/increment_version.py
clockhart/pathogen
1764d4a7d2dd7c1f5dcc08afc016ec4edf809c36
[ "MIT" ]
null
null
null
_scripts/increment_version.py
clockhart/pathogen
1764d4a7d2dd7c1f5dcc08afc016ec4edf809c36
[ "MIT" ]
null
null
null
""" increment_version.py written in Python3 author: C. Lockhart <chris@lockhartlab.org> """ import yaml # Read in version with open('version.yml', 'r') as f: version = yaml.safe_load(f.read()) # Strip "dev" out of micro version['micro'] = int(str(version['micro']).replace('dev', '')) # Update patch version['mi...
22.243243
78
0.660996
120
823
4.458333
0.491667
0.134579
0.056075
0.082243
0.093458
0
0
0
0
0
0
0.004292
0.150668
823
36
79
22.861111
0.761087
0.318348
0
0
0
0
0.212454
0
0
0
0
0
0
1
0
false
0
0.076923
0
0.076923
0.076923
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
537c67be5a305675d3c345fd99a5e6be9b4b00c1
15,725
py
Python
holoviews/core/data/ibis.py
TheoMathurin/holoviews
0defcef994d6dd6d2054f75a0e332d02d121f8b0
[ "BSD-3-Clause" ]
1
2017-03-01T07:08:23.000Z
2017-03-01T07:08:23.000Z
holoviews/core/data/ibis.py
chrinide/holoviews
e1234a60ae0809ac561c204b1998dff0452b2bf0
[ "BSD-3-Clause" ]
null
null
null
holoviews/core/data/ibis.py
chrinide/holoviews
e1234a60ae0809ac561c204b1998dff0452b2bf0
[ "BSD-3-Clause" ]
null
null
null
import sys import numpy try: from collections.abc import Iterable except ImportError: from collections import Iterable from .. import util from ..element import Element from ..ndmapping import NdMapping, item_check, sorted_context from .interface import Interface from . import pandas from .util import cached ...
35.022272
106
0.569348
1,776
15,725
4.945946
0.161036
0.030055
0.034836
0.006261
0.14367
0.088798
0.068989
0.04531
0.025273
0.025273
0
0.003155
0.334817
15,725
448
107
35.100446
0.836616
0.034658
0
0.217507
0
0
0.027348
0.001982
0
0
0
0
0
1
0.076923
false
0
0.050398
0.029178
0.254642
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
537e41912df4cf73c680542167c1c109a8513d39
3,907
py
Python
chess/models/tournament.py
S0Imyr/Projet-4
1d93e125bc6e44bc560f3ffc9b11e14e35291c98
[ "MIT" ]
null
null
null
chess/models/tournament.py
S0Imyr/Projet-4
1d93e125bc6e44bc560f3ffc9b11e14e35291c98
[ "MIT" ]
null
null
null
chess/models/tournament.py
S0Imyr/Projet-4
1d93e125bc6e44bc560f3ffc9b11e14e35291c98
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Handles the tournament logic """ import datetime from chess.utils.utils import get_new_id from chess.models.actors import Player from chess.models.round import Round TOURNAMENT_ID_WIDTH = 8 NB_ROUND = 4 NB_PLAYERS = 8 NB_MATCH = 4 class Tournament: """ The class Tournament is t...
33.393162
102
0.621449
449
3,907
5.158129
0.211581
0.067358
0.039292
0.046632
0.141192
0.02418
0.02418
0
0
0
0
0.002896
0.293064
3,907
116
103
33.681034
0.835626
0.176606
0
0.029851
0
0
0.045649
0
0
0
0
0
0
1
0.089552
false
0
0.059701
0
0.19403
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
537f1ecf5b58054b91b3f560bcbfa1d5fc3ac88d
16,328
py
Python
tests/test_app.py
inmanta/inmanta-core
ae2153d57f124d00ad1b58e6d4bc6818364be4a8
[ "Apache-2.0" ]
6
2021-03-09T10:24:02.000Z
2022-01-16T03:52:11.000Z
tests/test_app.py
inmanta/inmanta-core
ae2153d57f124d00ad1b58e6d4bc6818364be4a8
[ "Apache-2.0" ]
1,319
2020-12-18T08:52:29.000Z
2022-03-31T18:17:32.000Z
tests/test_app.py
inmanta/inmanta-core
ae2153d57f124d00ad1b58e6d4bc6818364be4a8
[ "Apache-2.0" ]
4
2021-03-03T15:36:50.000Z
2022-03-11T11:41:51.000Z
""" Copyright 2018 Inmanta 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 ...
33.390593
125
0.614282
2,136
16,328
4.510768
0.164326
0.006642
0.004982
0.008718
0.506072
0.448573
0.394811
0.358588
0.348106
0.325272
0
0.013938
0.239833
16,328
488
126
33.459016
0.762327
0.052609
0
0.339523
0
0.045093
0.226046
0.047508
0
0
0
0
0.090186
1
0.066313
false
0.013263
0.029178
0.005305
0.124668
0.013263
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
537fda8bf126c424a17def77a9e57731a1bb799c
449
py
Python
AtC_Beg_Con_021-030/ABC027/C.py
yosho-18/AtCoder
50f6d5c92a01792552c31ac912ce1cd557b06fb0
[ "MIT" ]
null
null
null
AtC_Beg_Con_021-030/ABC027/C.py
yosho-18/AtCoder
50f6d5c92a01792552c31ac912ce1cd557b06fb0
[ "MIT" ]
null
null
null
AtC_Beg_Con_021-030/ABC027/C.py
yosho-18/AtCoder
50f6d5c92a01792552c31ac912ce1cd557b06fb0
[ "MIT" ]
null
null
null
n = int(input()) row = 0 for i in range(100): if 2 ** i <= n <= 2 ** (i + 1) - 1: row = i break def seki(k, n): for _ in range(n): k = 4 * k + 2 return k k = 0 if row % 2 != 0: k = 2 cri = seki(k, row // 2) if n < cri: print("Aoki") else: print("Ta...
14.966667
39
0.4098
72
449
2.541667
0.333333
0.081967
0.087432
0.120219
0.251366
0.251366
0.251366
0.251366
0.251366
0
0
0.065637
0.423163
449
29
40
15.482759
0.640927
0
0
0.44
0
0
0.057906
0
0
0
0
0
0
1
0.04
false
0
0
0
0.08
0.16
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5382d0895ddebaa840fcd4f4a2179b700c0dfe67
21,396
py
Python
extplugins/codvote.py
Desi-Boyz/cod4x-server-B3-configs
03a323d7ea293efe1831ed315001391b9aaf532a
[ "MIT" ]
1
2017-07-17T22:21:10.000Z
2017-07-17T22:21:10.000Z
extplugins/codvote.py
Desi-Boyz/cod4x-server-B3-configs
03a323d7ea293efe1831ed315001391b9aaf532a
[ "MIT" ]
null
null
null
extplugins/codvote.py
Desi-Boyz/cod4x-server-B3-configs
03a323d7ea293efe1831ed315001391b9aaf532a
[ "MIT" ]
null
null
null
# CoDVote plugin for BigBrotherBot(B3) (www.bigbrotherbot.net) # Copyright (C) 2015 ph03n1x # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your optio...
37.081456
139
0.550804
2,445
21,396
4.736196
0.180368
0.026943
0.021762
0.01209
0.328756
0.260708
0.212263
0.181865
0.181865
0.165285
0
0.012919
0.33796
21,396
576
140
37.145833
0.804589
0.155403
0
0.403341
0
0
0.17158
0.002395
0
0
0
0
0
1
0.071599
false
0.016706
0.00716
0
0.195704
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
538622f0e20beb2e31f0c54850a3e278464da569
1,323
py
Python
indian-flag.py
aditya270520/indian-flag
65851eefdd229cca150d2bbe8fa61c9e06e120e0
[ "MIT" ]
null
null
null
indian-flag.py
aditya270520/indian-flag
65851eefdd229cca150d2bbe8fa61c9e06e120e0
[ "MIT" ]
null
null
null
indian-flag.py
aditya270520/indian-flag
65851eefdd229cca150d2bbe8fa61c9e06e120e0
[ "MIT" ]
null
null
null
import turtle turtle.bgcolor('black') wn=turtle.Screen() tr=turtle.Turtle() move=1 tr.speed("fastest") for i in range (360): tr.write("ADITYA",'false','center',font=('Showcard gothic',50)) tr.penup() tr.goto(-200,100) tr.pendown() tr.color("orange") tr.right(move) tr.forward(100) tr...
17.64
67
0.543462
207
1,323
3.468599
0.299517
0.126741
0.058496
0.044568
0.275766
0.165738
0.05571
0
0
0
0
0.061162
0.258503
1,323
75
68
17.64
0.670744
0
0
0.465753
0
0
0.106495
0
0
0
0
0
0
1
0
false
0
0.013699
0
0.013699
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0
5389a92b434b224efc0d211777895516ff271648
1,023
py
Python
update_readme.py
CalmScout/LeetCode
62720934b5906e6b255c7e91d3a6fa1d713e4391
[ "MIT" ]
null
null
null
update_readme.py
CalmScout/LeetCode
62720934b5906e6b255c7e91d3a6fa1d713e4391
[ "MIT" ]
null
null
null
update_readme.py
CalmScout/LeetCode
62720934b5906e6b255c7e91d3a6fa1d713e4391
[ "MIT" ]
null
null
null
""" Script updates `README.md` with respect to files at ./easy and ./medium folders. """ import os curr_dir = os.path.dirname(__file__) with open(os.path.join(curr_dir, "README.md"), 'w') as readme: readme.write("# LeetCode\nDeliberate practice in coding.\n") langs = [l for l in os.listdir(curr_dir) if os.path...
39.346154
105
0.572825
146
1,023
3.890411
0.321918
0.073944
0.035211
0.049296
0.288732
0.140845
0.09507
0
0
0
0
0.00641
0.237537
1,023
25
106
40.92
0.721795
0.078201
0
0
0
0
0.154011
0.049198
0
0
0
0
0
1
0
false
0
0.047619
0
0.047619
0
0
0
0
null
0
0
0
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
0
0
0
0
0
0
0
1
0