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
7442858aa79374bc0e7c8a884d99101738677bd6
4,339
py
Python
tools/CH_constants.py
hussamnasir/geni-ch
b6626a14e95768ba33bbc1faca9e4e74b0040920
[ "MIT" ]
3
2015-05-01T12:48:35.000Z
2017-02-25T07:13:07.000Z
tools/CH_constants.py
GENI-NSF/geni-ch
184909ef656976071fd891091caeaf892c99deb1
[ "MIT" ]
466
2015-05-20T03:49:54.000Z
2020-03-18T23:09:52.000Z
tools/CH_constants.py
hussamnasir/geni-ch
b6626a14e95768ba33bbc1faca9e4e74b0040920
[ "MIT" ]
6
2015-05-06T13:44:13.000Z
2017-07-12T17:57:17.000Z
#---------------------------------------------------------------------- # Copyright (c) 2011-2016 Raytheon BBN Technologies # # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and/or hardware specification (the "Work") to # deal in the Work without restriction, including ...
40.551402
89
0.705001
543
4,339
5.41989
0.360958
0.019028
0.031261
0.024465
0.099218
0.085627
0.068637
0.033979
0.033979
0.033979
0
0.006663
0.169855
4,339
106
90
40.933962
0.810383
0.454713
0
0.032787
0
0
0.40515
0.072103
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
74437028daada4e5ca6b65cd6259ece7a9695dc3
1,657
py
Python
Simulation-Chernobyl/simulation_chernobyl/graphics/logger.py
AllSafeCyberSecur1ty/Nuclear-Engineering
302d6dcc7c0a85a9191098366b076cf9cb5a9f6e
[ "MIT" ]
1
2022-03-26T20:01:13.000Z
2022-03-26T20:01:13.000Z
Simulation-Chernobyl/simulation_chernobyl/graphics/logger.py
AllSafeCyberSecur1ty/Nuclear-Engineering
302d6dcc7c0a85a9191098366b076cf9cb5a9f6e
[ "MIT" ]
null
null
null
Simulation-Chernobyl/simulation_chernobyl/graphics/logger.py
AllSafeCyberSecur1ty/Nuclear-Engineering
302d6dcc7c0a85a9191098366b076cf9cb5a9f6e
[ "MIT" ]
1
2022-03-26T19:59:13.000Z
2022-03-26T19:59:13.000Z
import pygame class Logger(): def __init__(self): self.mem_text = "" # to store previous text self.text1, self.text2, self.text3 = "", "", "" # text buffer self.text_color1, self.text_color2, self.text_color3 = (0,0,0), (0,0,0), (0,0,0) # text color buffer self.max_width = 100...
55.233333
133
0.63971
250
1,657
4.092
0.264
0.125122
0.02346
0.02346
0.419355
0.319648
0.231672
0.231672
0.109482
0.109482
0
0.053514
0.244418
1,657
29
134
57.137931
0.763578
0.211225
0
0
0
0
0
0
0
0
0
0
0
1
0.190476
false
0
0.047619
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
7443df89c1d0dd9c460536ddbdae972c55cb92f9
9,765
py
Python
ob/models.py
peterkuma/tjrapid
8813cb0a3633785754d20263f180428688bcb026
[ "MIT" ]
null
null
null
ob/models.py
peterkuma/tjrapid
8813cb0a3633785754d20263f180428688bcb026
[ "MIT" ]
1
2021-05-16T16:40:00.000Z
2021-05-16T16:40:00.000Z
ob/models.py
peterkuma/tjrapid
8813cb0a3633785754d20263f180428688bcb026
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # # Copyright (c) 2007-2012 Peter Kuma import os from datetime import date, datetime import urllib.request, urllib.error, urllib.parse import json from django.utils import timezone from django.db import models from django.utils.translation import ugettext_lazy as _ from django.conf import setti...
24.659091
171
0.725038
1,190
9,765
5.756303
0.377311
0.027591
0.01927
0.009927
0.099562
0.07708
0.067445
0.05635
0.040584
0.015766
0
0.003797
0.110087
9,765
395
172
24.721519
0.784465
0.005735
0
0.059621
0
0.00271
0.478207
0.130963
0
0
0
0
0
1
0.01897
false
0
0.056911
0.00813
0.176152
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
74455e5242de473902ce5c1ce7ac6048af1210c7
18,394
py
Python
tests/test_hal_nav2.py
rdhyee/restnavigator
507a854ab9ea5fe42dc10d8698f67e43b8657902
[ "MIT" ]
21
2015-04-26T08:41:33.000Z
2020-07-22T04:05:37.000Z
tests/test_hal_nav2.py
rdhyee/restnavigator
507a854ab9ea5fe42dc10d8698f67e43b8657902
[ "MIT" ]
17
2015-01-09T18:49:50.000Z
2015-03-09T07:57:17.000Z
tests/test_hal_nav2.py
rdhyee/restnavigator
507a854ab9ea5fe42dc10d8698f67e43b8657902
[ "MIT" ]
11
2015-04-21T04:12:56.000Z
2022-03-27T00:24:25.000Z
'''Refactored tests from test_hal_nav.py''' import json import httpretty import pytest import conftest import uritemplate import restnavigator as RN from restnavigator import exc import restnavigator.halnav as HN def uri_of(doc): '''Pull out the url from a hal document''' return doc['_links']['self']['hr...
31.604811
84
0.584321
2,296
18,394
4.516551
0.135017
0.024301
0.043202
0.007715
0.271649
0.208004
0.167888
0.119286
0.094118
0.079556
0
0.013312
0.289388
18,394
581
85
31.659208
0.780047
0.09128
0
0.204036
0
0
0.080155
0.001874
0
0
0
0
0.098655
1
0.170404
false
0.004484
0.017937
0.020179
0.282511
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
74473c34a9a7c4a517aae11602ad9b0523cc56e0
931
py
Python
pony_express/solution.py
ijkilchenko/google_code_jam
4584d0125f79e0420881356e8a722c5afc0c1ca9
[ "MIT" ]
null
null
null
pony_express/solution.py
ijkilchenko/google_code_jam
4584d0125f79e0420881356e8a722c5afc0c1ca9
[ "MIT" ]
null
null
null
pony_express/solution.py
ijkilchenko/google_code_jam
4584d0125f79e0420881356e8a722c5afc0c1ca9
[ "MIT" ]
null
null
null
import sys def read(f): with open(f) as file: lines = file.readlines() T = int(lines[0]) line = 1 for t in range(1, T+1): N, Q, H, A, UV, line = _get_case(line, lines) y = solve(N, Q, H, A, UV) print('Case #%i: %0.6f' % (t, y)) def _get_case(line, lines): N, Q = ...
20.688889
55
0.481203
166
931
2.674699
0.259036
0.078829
0.081081
0.036036
0.515766
0.515766
0.292793
0.25
0.25
0.25
0
0.02589
0.336198
931
44
56
21.159091
0.692557
0.01826
0
0.235294
0
0
0.026287
0
0
0
0
0
0
1
0.088235
false
0
0.029412
0
0.147059
0.029412
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
74488c7384e202632e7b938723fff09c66866753
3,724
py
Python
corpus_process.py
Protostars/CSeg
1acd301e804de8135310c5d39ed136b4cfd8865f
[ "MIT" ]
1
2019-12-15T06:03:42.000Z
2019-12-15T06:03:42.000Z
corpus_process.py
Protostars/CSeg
1acd301e804de8135310c5d39ed136b4cfd8865f
[ "MIT" ]
null
null
null
corpus_process.py
Protostars/CSeg
1acd301e804de8135310c5d39ed136b4cfd8865f
[ "MIT" ]
1
2019-12-15T06:03:19.000Z
2019-12-15T06:03:19.000Z
import re import os import pickle import sys from math import log DICT_NAME = "dict.txt" BI_GRAM_FILE = "bi_gram.txt" HMM_PROB = "hmm_prob" SMALL_PROB = 1e-200 # 识别汉字、数字和字母、全角字符,及+,#,&,.,% re_ch = re.compile("([\u4E00-\u9FD5a-zA-Z0-9\uFF10-\uFF5A+#&\._%%]+)", re.U) re_stop = re.compile("([。,]+)", re.U) # 处理分词语料,生成词典...
32.955752
108
0.475295
535
3,724
3.145794
0.231776
0.041592
0.030897
0.035651
0.341652
0.341652
0.317885
0.267974
0.229947
0.196673
0
0.021583
0.365467
3,724
112
109
33.25
0.690647
0.028733
0
0.20202
0
0
0.067684
0.013315
0
0
0
0
0.010101
1
0.020202
false
0
0.050505
0
0.070707
0.060606
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
744953a33d13dce6a8e313b4de8e7bbc4605a9b1
1,954
py
Python
main.py
tvirus-01/scraping-seekingalpha
0dedd14195a9f4f354475a3cbe1728325cb45b33
[ "MIT" ]
1
2021-05-18T16:27:06.000Z
2021-05-18T16:27:06.000Z
main.py
tvirus-01/scraping-seekingalpha
0dedd14195a9f4f354475a3cbe1728325cb45b33
[ "MIT" ]
null
null
null
main.py
tvirus-01/scraping-seekingalpha
0dedd14195a9f4f354475a3cbe1728325cb45b33
[ "MIT" ]
null
null
null
from selenium import webdriver from selenium.webdriver.chrome.options import Options from bs4 import BeautifulSoup import requests import time import os import csv root_url = "https://seekingalpha.com" query = "stock repurchase program" url = "https://seekingalpha.com/search?q="+query.replcae(" ", "+") chrome_driver_p...
30.53125
153
0.680655
274
1,954
4.693431
0.390511
0.046656
0.037325
0.037325
0.139969
0.093313
0
0
0
0
0
0.01816
0.154555
1,954
64
154
30.53125
0.760291
0.012283
0
0.043478
0
0.021739
0.236269
0.031088
0
0
0
0
0
1
0
false
0
0.152174
0
0.152174
0.021739
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
744e61002cde51c152c53abdd50110f3f6f68a3b
6,071
py
Python
falx/utils/generate_random_traces.py
Mestway/falx
fcae5e536f44c19780ae9f00b94e397723924757
[ "BSD-2-Clause" ]
10
2021-01-29T19:08:55.000Z
2022-03-03T05:08:53.000Z
falx/utils/generate_random_traces.py
Mestway/falx
fcae5e536f44c19780ae9f00b94e397723924757
[ "BSD-2-Clause" ]
null
null
null
falx/utils/generate_random_traces.py
Mestway/falx
fcae5e536f44c19780ae9f00b94e397723924757
[ "BSD-2-Clause" ]
2
2020-06-28T21:52:12.000Z
2020-09-04T07:18:08.000Z
import eval_utils import json from falx.eval_interface import FalxEvalInterface from falx.utils import table_utils from timeit import default_timer as timer import numpy as np from pprint import pprint from falx.visualization.chart import VisDesign, LayeredChart from falx.visualization.matplotlib_chart import Matpl...
54.205357
469
0.541591
889
6,071
3.502812
0.224972
0.045922
0.038536
0.043674
0.271676
0.229929
0.181118
0.134233
0.111432
0.111432
0
0.159871
0.232416
6,071
111
470
54.693694
0.508369
0.006095
0
0
0
0
0.24685
0.004476
0
0
0
0
0
1
0.023529
false
0
0.117647
0
0.164706
0.023529
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
745481823c68affcc1265816e955ae79a8aa4353
1,180
py
Python
Python Advanced/3. Multidimensional Lists/Exercise/08. Bombs.py
a-shiro/SoftUni-Courses
7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77
[ "MIT" ]
null
null
null
Python Advanced/3. Multidimensional Lists/Exercise/08. Bombs.py
a-shiro/SoftUni-Courses
7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77
[ "MIT" ]
null
null
null
Python Advanced/3. Multidimensional Lists/Exercise/08. Bombs.py
a-shiro/SoftUni-Courses
7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77
[ "MIT" ]
null
null
null
from collections import deque def read_matrix(dimensions): mtrx = [] for _ in range(dimensions): col = [int(n) for n in input().split(' ')] mtrx.append(col) return mtrx def get_cells(matrix): cells_alive = 0 cells_sum = 0 for r in matrix: for c in r: ...
22.264151
99
0.555085
177
1,180
3.570621
0.248588
0.066456
0.079114
0.066456
0.151899
0.088608
0.088608
0.088608
0.088608
0
0
0.01968
0.311017
1,180
52
100
22.692308
0.757688
0
0
0
0
0
0.028814
0
0
0
0
0
0
1
0.060606
false
0
0.030303
0
0.151515
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
745b09ab868c2f65731e7156a385d464a997846f
5,676
py
Python
ndd/counts.py
simomarsili/ndd
3a8f8f80116ddaf8666dd13b246a04c9806447a7
[ "BSD-3-Clause" ]
34
2017-01-25T21:42:07.000Z
2022-03-05T02:12:11.000Z
ndd/counts.py
simomarsili/ndd
3a8f8f80116ddaf8666dd13b246a04c9806447a7
[ "BSD-3-Clause" ]
4
2018-06-22T19:15:33.000Z
2020-05-06T12:37:24.000Z
ndd/counts.py
simomarsili/ndd
3a8f8f80116ddaf8666dd13b246a04c9806447a7
[ "BSD-3-Clause" ]
2
2019-07-31T07:53:02.000Z
2019-07-31T07:53:22.000Z
# -*- coding: utf-8 -*- """CountsDistribution class.""" import json import logging from collections.abc import Mapping, MappingView from types import GeneratorType import numpy import ndd.fnsb from ndd.exceptions import NddError logger = logging.getLogger(__name__) def unique(nk, sort=True): """Return nk, zk""...
28.522613
75
0.555673
779
5,676
3.970475
0.215661
0.036857
0.023278
0.027158
0.137084
0.102166
0.079534
0.079534
0.071452
0.071452
0
0.013552
0.323996
5,676
198
76
28.666667
0.792546
0.21494
0
0.145161
0
0
0.061129
0.005833
0
0
0
0.005051
0
1
0.137097
false
0.008065
0.056452
0.032258
0.362903
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
745b6a06e7b05b2a82df687d97773686b7b6c978
1,999
py
Python
events-svc/app/actions/event_actions.py
zerodevgroup/fastapi-referece-architecture
185e4b3036799fec2044dd415022ba0760b5bb45
[ "MIT" ]
null
null
null
events-svc/app/actions/event_actions.py
zerodevgroup/fastapi-referece-architecture
185e4b3036799fec2044dd415022ba0760b5bb45
[ "MIT" ]
null
null
null
events-svc/app/actions/event_actions.py
zerodevgroup/fastapi-referece-architecture
185e4b3036799fec2044dd415022ba0760b5bb45
[ "MIT" ]
null
null
null
import aiohttp import asyncio import base64 import os from events import EventIn, EventOut, EventUpdate from fastapi.logger import logger from db import events, database STRIPE_CHARGES_URL = os.getenv("STRIPE_CHARGES_URL") STRIPE_API_KEY = os.getenv("STRIPE_API_KEY") async def add_event(payload: EventIn): logger....
32.241935
98
0.69935
257
1,999
5.346304
0.315175
0.034935
0.052402
0.082969
0.291849
0.19869
0.150655
0.120815
0.088792
0.088792
0
0.005505
0.182091
1,999
61
99
32.770492
0.834862
0.021511
0
0.0625
0
0
0.15609
0
0
0
0
0
0
1
0
false
0
0.145833
0
0.270833
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
745d592616ed0c1497992e114b4112aa3cdca55c
1,006
py
Python
backend/server_flask.py
sigmarising/Multimedia-Homework-website
38fdf0c2c539b2d02d4062c55982f1e9df5f5ef4
[ "MIT" ]
null
null
null
backend/server_flask.py
sigmarising/Multimedia-Homework-website
38fdf0c2c539b2d02d4062c55982f1e9df5f5ef4
[ "MIT" ]
null
null
null
backend/server_flask.py
sigmarising/Multimedia-Homework-website
38fdf0c2c539b2d02d4062c55982f1e9df5f5ef4
[ "MIT" ]
null
null
null
import os from flask import Flask, send_from_directory, request, jsonify # Path settings SERVER_PATH = os.path.abspath(os.path.dirname(__file__)) FTP_PATH = os.path.abspath(os.path.join(SERVER_PATH, 'ftp/')) # Flask app settings app = Flask(__name__) app.config['JSON_AS_ASCII'] = False @app.route('/api/getFilesList...
27.189189
72
0.709742
146
1,006
4.59589
0.342466
0.062593
0.044709
0.076006
0.204173
0.114754
0.080477
0
0
0
0
0
0.131213
1,006
36
73
27.944444
0.767735
0.031809
0
0
0
0
0.122554
0.033986
0
0
0
0
0
1
0.125
false
0
0.083333
0.041667
0.333333
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
745fc74246c6c357dfc1fd1dc49a06020766a990
1,240
py
Python
Python/468.py
JWang169/LintCodeJava
b75b06fa1551f5e4d8a559ef64e1ac29db79c083
[ "CNRI-Python" ]
1
2020-12-10T05:36:15.000Z
2020-12-10T05:36:15.000Z
Python/468.py
JWang169/LintCodeJava
b75b06fa1551f5e4d8a559ef64e1ac29db79c083
[ "CNRI-Python" ]
null
null
null
Python/468.py
JWang169/LintCodeJava
b75b06fa1551f5e4d8a559ef64e1ac29db79c083
[ "CNRI-Python" ]
3
2020-04-06T05:55:08.000Z
2021-08-29T14:26:54.000Z
class Solution: def validIPAddress(self, IP: str) -> str: # if not IP: # return "Neither" if len(IP.split('.')) == 4: ips = IP.split('.') return self.validIPv4(ips) elif len(IP.split(':')) == 8: ips = IP.split(':') return self.valid...
28.837209
67
0.429032
132
1,240
4.030303
0.431818
0.146617
0.037594
0.06015
0.075188
0
0
0
0
0
0
0.030882
0.451613
1,240
43
68
28.837209
0.751471
0.064516
0
0.178571
0
0
0.058874
0
0
0
0
0
0
1
0.107143
false
0
0
0
0.464286
0.035714
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
7461e3bcb8e9c632b051701ae54e04f11972850a
1,158
py
Python
buzzmobile/process/bearing/calculate_directions.py
gtagency/buzzmobile
8f7215d35b3b7fe3c6ca6419f0123ba18e8aca0a
[ "MIT" ]
25
2015-02-18T04:15:09.000Z
2019-12-11T14:29:02.000Z
buzzmobile/process/bearing/calculate_directions.py
gtagency/buzzmobile
8f7215d35b3b7fe3c6ca6419f0123ba18e8aca0a
[ "MIT" ]
173
2016-09-16T05:34:27.000Z
2017-11-15T07:31:53.000Z
buzzmobile/process/bearing/calculate_directions.py
gtagency/buzzmobile
8f7215d35b3b7fe3c6ca6419f0123ba18e8aca0a
[ "MIT" ]
4
2015-01-18T15:46:35.000Z
2017-04-08T00:39:05.000Z
"""Utilities for calculating directions and distances given coords.""" import math EARTH_RADIUS = 6.3710088e6 def get_distance(fix1, fix2): """Calculates great-circle distance between two positions in meters.""" lat1 = math.radians(fix1.latitude) lon1 = math.radians(fix1.longitude) lat2 = math.radia...
35.090909
75
0.648532
160
1,158
4.65
0.30625
0.11828
0.080645
0.056452
0.346774
0.295699
0.295699
0.295699
0.295699
0.295699
0
0.058824
0.207254
1,158
32
76
36.1875
0.751634
0.16494
0
0.363636
0
0
0
0
0
0
0
0
0
1
0.090909
false
0
0.045455
0
0.227273
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
746ab1f26e2827ead488e3722b6ba0e4f14c48ca
523
py
Python
src/proto/player_state_proto.py
edwadli/splendor-ai
0881924bf59539ba307592a2f546d56732359120
[ "Apache-2.0" ]
2
2020-02-02T06:01:23.000Z
2021-09-21T02:49:29.000Z
src/proto/player_state_proto.py
edwadli/splendor-ai
0881924bf59539ba307592a2f546d56732359120
[ "Apache-2.0" ]
3
2019-06-04T07:45:33.000Z
2019-06-07T02:14:27.000Z
src/proto/player_state_proto.py
edwadli/splendor-ai
0881924bf59539ba307592a2f546d56732359120
[ "Apache-2.0" ]
2
2019-05-31T06:52:58.000Z
2019-06-05T19:45:16.000Z
"""Data schema for a player's state.""" import collections PlayerState = collections.namedtuple( "PlayerState", [ # Dictionary of Gems held by player. "gems", # List of purchased DevelopmentCards. "purchased_cards", # List of reserved (non-hidden) DevelopmentCards. "unhidden_reserved_cards...
22.73913
78
0.695985
56
523
6.392857
0.607143
0.050279
0.061453
0.106145
0
0
0
0
0
0
0
0
0.210325
523
22
79
23.772727
0.866828
0.535373
0
0
0
0
0.366379
0.189655
0
0
0
0
0
1
0
false
0
0.111111
0
0.111111
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
746ad17c2512eef00d948851110356b09d69b731
4,871
py
Python
sheepdoge/config.py
mattjmcnaughton/sheepdoge
9c028d6f51cb59afcaf25a5680f961ec7e25676b
[ "Apache-2.0" ]
7
2018-03-18T07:25:10.000Z
2022-01-28T17:35:08.000Z
sheepdoge/config.py
mattjmcnaughton/sheepdoge
9c028d6f51cb59afcaf25a5680f961ec7e25676b
[ "Apache-2.0" ]
15
2017-08-19T14:03:10.000Z
2017-12-29T23:22:05.000Z
sheepdoge/config.py
mattjmcnaughton/sheepdoge
9c028d6f51cb59afcaf25a5680f961ec7e25676b
[ "Apache-2.0" ]
null
null
null
from configparser import ConfigParser, NoOptionError from typing import Dict # pylint: disable=unused-import import os from sheepdoge.exception import ( SheepdogeConfigurationAlreadyInitializedException, SheepdogeConfigurationNotInitializedException, ) DEFAULTS = { "kennel_playbook_path": "kennel.yml", ...
34.062937
76
0.667419
567
4,871
5.488536
0.268078
0.067481
0.02892
0.031491
0.092224
0.040488
0.032776
0.023779
0.023779
0
0
0
0.25929
4,871
142
77
34.302817
0.862528
0.353726
0
0.098592
0
0
0.059107
0
0
0
0
0
0
1
0.126761
false
0.028169
0.056338
0
0.239437
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
746b61a512fe54bf6d58d51dee7f9f6d9529baf8
1,202
py
Python
_argparse.py
zzyyyl/USTC-Helper
6f16361bdead655b799da40e3ecd7758745c2568
[ "MIT" ]
3
2022-03-18T18:24:53.000Z
2022-03-24T01:50:41.000Z
_argparse.py
zzyyyl/USTC-Helper
6f16361bdead655b799da40e3ecd7758745c2568
[ "MIT" ]
null
null
null
_argparse.py
zzyyyl/USTC-Helper
6f16361bdead655b799da40e3ecd7758745c2568
[ "MIT" ]
null
null
null
from argparse import ArgumentParser from USTCHelper import config import json, base64 import os class ArgumentError(Exception): def __init__(self, text): self.text = text def __str__(self): return f"ArgumentError: {self.text}" def ArgParser(): parser = ArgumentParser() parser.add_argu...
36.424242
105
0.6797
148
1,202
5.405405
0.412162
0.0675
0.1275
0.07875
0.12
0.12
0
0
0
0
0
0.005964
0.163062
1,202
32
106
37.5625
0.789264
0
0
0
0
0
0.270383
0
0
0
0
0
0
1
0.192308
false
0.038462
0.153846
0.038462
0.461538
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
746fe9ce70247f8f0f948de126caec9e75bc4ccb
1,378
py
Python
app/api/client.py
cloudblue/processor-acronis-customer-centric
fbb022de150818e29cf6cb6205650893acb3613e
[ "Apache-2.0" ]
3
2019-12-21T13:45:28.000Z
2019-12-24T20:04:34.000Z
app/api/client.py
cloudblue/processor-acronis-customer-centric
fbb022de150818e29cf6cb6205650893acb3613e
[ "Apache-2.0" ]
null
null
null
app/api/client.py
cloudblue/processor-acronis-customer-centric
fbb022de150818e29cf6cb6205650893acb3613e
[ "Apache-2.0" ]
null
null
null
""" This file is property of the Ingram Micro Cloud Blue. Copyright (c) 2019 Ingram Micro. All Rights Reserved. """ import json from requests import api from connect.logger import logger from urllib.parse import urlencode, quote_plus class Client: @staticmethod def send_request(verb, uri, config, body=None):...
33.609756
146
0.563135
146
1,378
5.280822
0.486301
0.057069
0.046693
0.057069
0.090791
0
0
0
0
0
0
0.010341
0.298258
1,378
40
147
34.45
0.78697
0.077649
0
0
0
0
0.167854
0.047506
0
0
0
0
0
1
0.035714
false
0
0.142857
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
7470950ef82ea911ccd94deb0cfaffcdcd9405a5
4,048
py
Python
venmo-sim/leiden/simulate_txs_on_leiden_clustered_venmo_graph.py
akatsarakis/tx_benchmarking
f8233e58bba3f4fb54d82273d7ca8631bae36ebc
[ "MIT" ]
3
2020-07-07T17:08:41.000Z
2022-01-10T19:25:46.000Z
venmo-sim/leiden/simulate_txs_on_leiden_clustered_venmo_graph.py
akatsarakis/tx_benchmarking
f8233e58bba3f4fb54d82273d7ca8631bae36ebc
[ "MIT" ]
null
null
null
venmo-sim/leiden/simulate_txs_on_leiden_clustered_venmo_graph.py
akatsarakis/tx_benchmarking
f8233e58bba3f4fb54d82273d7ca8631bae36ebc
[ "MIT" ]
null
null
null
import argparse import csv import re # read arg (the num of shards, also the num of distributed nodes) from command line def parse_args(): global ARGS parser = argparse.ArgumentParser() parser.add_argument('node_tot', type=int, help='total number of distributed-nodes/shards in the system') ARG...
34.896552
112
0.704792
639
4,048
4.242567
0.266041
0.033567
0.030985
0.020657
0.095906
0.04574
0.04574
0.022132
0.022132
0.022132
0
0.017099
0.190959
4,048
115
113
35.2
0.810687
0.272233
0
0.075
0
0
0.129287
0.037037
0
0
0
0
0
1
0.025
false
0
0.0375
0.0125
0.075
0.0875
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
7471a6cafdc6fccdf2cbf3b0bcfba1e4f01d5df3
4,363
py
Python
custom_components/ampio/__init__.py
pszypowicz/ampio-hacc
34a929cccc2b0e35f1f5d8aeafbf965bfc7dab6c
[ "MIT" ]
2
2021-08-18T07:18:05.000Z
2022-01-01T19:07:09.000Z
custom_components/ampio/__init__.py
pszypowicz/ampio-hacc
34a929cccc2b0e35f1f5d8aeafbf965bfc7dab6c
[ "MIT" ]
null
null
null
custom_components/ampio/__init__.py
pszypowicz/ampio-hacc
34a929cccc2b0e35f1f5d8aeafbf965bfc7dab6c
[ "MIT" ]
1
2021-11-29T18:16:45.000Z
2021-11-29T18:16:45.000Z
"""Ampio Systems Platform.""" import asyncio import json import logging from typing import Any, Dict, Optional import voluptuous as vol from homeassistant.config_entries import ConfigEntry from homeassistant.const import ( CONF_CLIENT_ID, CONF_DEVICE, CONF_DEVICE_CLASS, CONF_FRIENDLY_NAME, CONF_IC...
27.789809
88
0.698602
517
4,363
5.599613
0.270793
0.040415
0.036269
0.037306
0.121934
0.067012
0.021416
0
0
0
0
0.006741
0.217969
4,363
156
89
27.967949
0.841735
0.005272
0
0.078947
0
0
0.027337
0.021479
0
0
0
0
0
1
0
false
0.017544
0.140351
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
747472dbf6c760efb2300b9c6ffbf248dba2c191
6,477
py
Python
pyformlang/rsa/recursive_automaton.py
IlyaEp/pyformlang
eef239844beff5e9da3be4a4a240440ece81c10b
[ "MIT" ]
15
2020-06-25T14:38:27.000Z
2022-03-09T17:55:07.000Z
pyformlang/rsa/recursive_automaton.py
IlyaEp/pyformlang
eef239844beff5e9da3be4a4a240440ece81c10b
[ "MIT" ]
11
2020-09-23T09:48:35.000Z
2021-08-24T08:37:47.000Z
pyformlang/rsa/recursive_automaton.py
IlyaEp/pyformlang
eef239844beff5e9da3be4a4a240440ece81c10b
[ "MIT" ]
5
2020-03-08T19:00:17.000Z
2021-08-15T12:38:05.000Z
""" Representation of a recursive automaton """ from typing import AbstractSet from pyformlang.finite_automaton.finite_automaton import to_symbol from pyformlang.finite_automaton.symbol import Symbol from pyformlang.regular_expression import Regex from pyformlang.cfg import CFG, Epsilon from pyformlang.rsa.box impor...
28.915179
98
0.603366
742
6,477
5.080863
0.15903
0.098674
0.027851
0.041114
0.24244
0.163395
0.096021
0.068966
0.04191
0.04191
0
0.001102
0.299213
6,477
223
99
29.044843
0.829478
0.28578
0
0.14433
0
0
0.036984
0.006724
0
0
0
0
0
1
0.134021
false
0
0.061856
0.010309
0.350515
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
7475e81fcba007e37fae56c5bb3b0e881ffb33a4
17,080
py
Python
py/ColladaMesh.py
dineshkummarc/Odin
f23719ff05a9d03cebd0d5c4c0179a98eff2d935
[ "BSD-3-Clause" ]
1
2019-04-22T16:33:55.000Z
2019-04-22T16:33:55.000Z
py/ColladaMesh.py
dineshkummarc/Odin
f23719ff05a9d03cebd0d5c4c0179a98eff2d935
[ "BSD-3-Clause" ]
null
null
null
py/ColladaMesh.py
dineshkummarc/Odin
f23719ff05a9d03cebd0d5c4c0179a98eff2d935
[ "BSD-3-Clause" ]
null
null
null
from bisect import bisect import ColladaMaterial # Named array of points. class PointArray(): def __init__(self, n, ofs): self.name = n self.points = [] self.stride = 1 self.offset = int(ofs) def GetFirstChildElement(node): for elem in node.childNodes: if elem.nodeType == elem.ELEMENT_NODE: ...
37.955556
156
0.606382
1,809
17,080
5.709232
0.165837
0.040666
0.012393
0.012393
0.176414
0.136135
0.111348
0.097405
0.079009
0.060418
0
0.006349
0.271546
17,080
449
157
38.040089
0.823742
0.058782
0
0.215584
0
0
0.092551
0
0
0
0
0.002227
0
1
0.036364
false
0
0.005195
0
0.083117
0.031169
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
747a9c5326878d11b9906f17374aa59d5eda3f27
5,958
py
Python
nel-wikipedia/kb_creator.py
nadjet/explosion_projects
74f09fc97befb429a6db9e3235619c3d7b27ea7a
[ "MIT" ]
1
2020-07-18T19:19:54.000Z
2020-07-18T19:19:54.000Z
nel-wikipedia/kb_creator.py
JaredDelora/projects
ad0fc26dbc05182a439ffe76a362d40c24e25066
[ "MIT" ]
null
null
null
nel-wikipedia/kb_creator.py
JaredDelora/projects
ad0fc26dbc05182a439ffe76a362d40c24e25066
[ "MIT" ]
null
null
null
# coding: utf-8 from __future__ import unicode_literals import logging from spacy.kb import KnowledgeBase from train_descriptions import EntityEncoder import wiki_io as io logger = logging.getLogger(__name__) def create_kb( nlp, max_entities_per_alias, min_entity_freq, min_occ, entity_def_pat...
36.777778
158
0.648372
749
5,958
4.798398
0.230975
0.037006
0.047579
0.042571
0.293823
0.235392
0.195047
0.195047
0.185031
0.185031
0
0.002789
0.277946
5,958
161
159
37.006211
0.832636
0.06764
0
0.080645
0
0
0.066005
0
0
0
0
0
0
1
0.048387
false
0
0.040323
0
0.120968
0.008065
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
747becfe33166824b286845631f9101c61bac5a1
1,045
py
Python
modulesExecution.py
rando3/leetcode-python
b13bb35fb3cdc9813c62944547d260be2f9cab02
[ "MIT" ]
null
null
null
modulesExecution.py
rando3/leetcode-python
b13bb35fb3cdc9813c62944547d260be2f9cab02
[ "MIT" ]
null
null
null
modulesExecution.py
rando3/leetcode-python
b13bb35fb3cdc9813c62944547d260be2f9cab02
[ "MIT" ]
null
null
null
from collections import deque, defaultdict GRAY, BLACK = 0, 1 class Graph: def __init__(self, vertices): self.graph = defaultdict(list) # dictionary containing adjacency List self.V = vertices # No. of vertices def addEdge(self, u, v): ''' Function to add an edge to graph ''' ...
24.302326
78
0.504306
120
1,045
4.291667
0.525
0.069903
0.050485
0
0
0
0
0
0
0
0
0.01092
0.386603
1,045
42
79
24.880952
0.792512
0.083254
0
0
0
0
0.034737
0
0
0
0
0
0
1
0.129032
false
0
0.032258
0
0.258065
0.064516
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
747ef7880794c3ef33f57ad1412aece6844cc7a6
4,661
py
Python
facebook/messenger/hello-world/webhook.py
imsardine/learning
925841ddd93d60c740a62e12d9f57ef15b6e0a20
[ "MIT" ]
null
null
null
facebook/messenger/hello-world/webhook.py
imsardine/learning
925841ddd93d60c740a62e12d9f57ef15b6e0a20
[ "MIT" ]
null
null
null
facebook/messenger/hello-world/webhook.py
imsardine/learning
925841ddd93d60c740a62e12d9f57ef15b6e0a20
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import os from flask import Flask, request, abort, jsonify import requests SEND_API = 'https://graph.facebook.com/v2.6/me/messages' WEBHOOK_VERIFY_TOKEN = os.environ['WEBHOOK_VERIFY_TOKEN'] PAGE_ACCESS_TOKEN = os.environ['PAGE_ACCESS_TOKEN'] APP_SECRET = os.environ['APP_SECRET'] app = Flask(__...
34.272059
87
0.488307
451
4,661
4.840355
0.286031
0.051306
0.045809
0.050389
0.288136
0.223546
0.165827
0.130096
0.096198
0.096198
0
0.005287
0.391332
4,661
135
88
34.525926
0.764188
0.027676
0
0.173913
0
0
0.221092
0
0
0
0
0
0.008696
1
0.069565
false
0.008696
0.026087
0.008696
0.130435
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
747f3e4104e555a4cdac60485eb1931d3dd4f55a
18,847
py
Python
custom_components/midea_dehumidifier_lan/config_flow.py
drthanwho/homeassistant-midea-dehumidifier-lan
b22c609bf07fd540ffa3a3ff28aaa2a184578b69
[ "MIT" ]
null
null
null
custom_components/midea_dehumidifier_lan/config_flow.py
drthanwho/homeassistant-midea-dehumidifier-lan
b22c609bf07fd540ffa3a3ff28aaa2a184578b69
[ "MIT" ]
null
null
null
custom_components/midea_dehumidifier_lan/config_flow.py
drthanwho/homeassistant-midea-dehumidifier-lan
b22c609bf07fd540ffa3a3ff28aaa2a184578b69
[ "MIT" ]
null
null
null
"""Config flow for Midea Dehumidifier (Local) integration.""" from __future__ import annotations import ipaddress import logging from typing import Any, Final from homeassistant import data_entry_flow from homeassistant.config_entries import ConfigFlow from homeassistant.const import ( CONF_API_VERSION, CONF_...
36.314066
88
0.607205
2,029
18,847
5.375062
0.120749
0.033009
0.022006
0.029342
0.404915
0.30121
0.219879
0.161287
0.128461
0.108839
0
0.000694
0.312092
18,847
518
89
36.38417
0.840494
0.044729
0
0.284738
0
0
0.030973
0.003667
0
0
0
0
0.009112
1
0.022779
false
0.045558
0.034169
0.009112
0.143508
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
74858fe3b513ef3751cf3b9d1d2671162ca352a5
1,136
py
Python
setup.py
abuvanth/framework-identifier
0619b1831bf29eaabdb8b7a0ef1abfd2328b39f9
[ "MIT" ]
null
null
null
setup.py
abuvanth/framework-identifier
0619b1831bf29eaabdb8b7a0ef1abfd2328b39f9
[ "MIT" ]
null
null
null
setup.py
abuvanth/framework-identifier
0619b1831bf29eaabdb8b7a0ef1abfd2328b39f9
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- import setuptools,os with open("README.md", "r") as fh: long_description = fh.read() thelibFolder = os.path.dirname(os.path.realpath(__file__)) requirementPath = thelibFolder + '/requirements.txt' install_requires = [] # Examples: ["gunicorn", "docutils>=0.3", "lxml==0...
34.424242
78
0.680458
127
1,136
5.944882
0.661417
0.07947
0.050331
0.07947
0
0
0
0
0
0
0
0.010493
0.161092
1,136
32
79
35.5
0.781742
0.085387
0
0
0
0
0.295367
0.02027
0
0
0
0
0
1
0
false
0
0.034483
0
0.034483
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
74859fe61f59a2e68fef51e02980d620f6fd3fff
4,089
py
Python
convert.py
FlorianPoot/Faroad-PnP
aa31ce80f8a3888a903eac92827e7aef6c58dfe3
[ "MIT" ]
null
null
null
convert.py
FlorianPoot/Faroad-PnP
aa31ce80f8a3888a903eac92827e7aef6c58dfe3
[ "MIT" ]
null
null
null
convert.py
FlorianPoot/Faroad-PnP
aa31ce80f8a3888a903eac92827e7aef6c58dfe3
[ "MIT" ]
null
null
null
import math import sqlite3 import re DATABASE_PATH = "line1.db" class Convert: model_altium = {"desc": 0, "designator": (1, 10), "position": (2, 3), "rotation": 9} model_kicad = {"desc": 0, "designator": (1, 2), "position": (3, 4), "rotation": 5} model_mnt = {"desc": 0, "designator": (4, 5), "position":...
32.452381
118
0.512106
531
4,089
3.868173
0.278719
0.048199
0.035054
0.054528
0.133398
0.08666
0.070107
0.056475
0.056475
0.056475
0
0.018162
0.32673
4,089
125
119
32.712
0.727933
0.079237
0
0.0625
0
0.0125
0.127375
0.031041
0
0
0
0.008
0
1
0.0625
false
0
0.0375
0
0.2125
0.0125
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
7488b095e308da429d77f9667247659a77a3caeb
10,490
py
Python
src/device/Device.py
Electronya/PirBlaster
804b86b2699183c40f2157cba0e151bec9d4725a
[ "MIT" ]
1
2020-11-02T09:37:43.000Z
2020-11-02T09:37:43.000Z
src/device/Device.py
Electronya/PirBlasterBackend
804b86b2699183c40f2157cba0e151bec9d4725a
[ "MIT" ]
1
2021-06-26T14:56:31.000Z
2021-06-26T14:56:31.000Z
src/device/Device.py
Electronya/PirBlasterBackend
804b86b2699183c40f2157cba0e151bec9d4725a
[ "MIT" ]
1
2020-11-02T09:34:33.000Z
2020-11-02T09:34:33.000Z
from logging import Logger import paho.mqtt.client as mqtt from ircodec.command import CommandSet import os from exceptions import CommandNotFound, \ CommandFileAccess class Device(): # Constants STATUS_TOPIC = 'status' CMD_TOPIC = 'command' RESULT_TOPIC = 'result' ONLINE_MSG = 'ONLINE' ...
33.301587
120
0.538418
1,012
10,490
5.504941
0.211462
0.052055
0.03231
0.025848
0.210734
0.202118
0.148627
0.122061
0.112368
0.095136
0
0.001053
0.366444
10,490
314
121
33.407643
0.837195
0.250906
0
0.097222
0
0
0.149661
0.029874
0
0
0
0.003185
0
1
0.131944
false
0.034722
0.034722
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
748b0cd71a8c5de3ca15b5e64c2515f58ee12902
5,459
py
Python
hrssCalcbulk from folder of .fit files.py
Emberflurry/Bulk-HRSS-TSS-calc-from-Garmin-.fitfiles
d82f064ee0a97b2d826f434b5a21e8869c090e17
[ "MIT" ]
2
2021-08-21T14:05:45.000Z
2022-03-26T02:22:02.000Z
hrssCalcbulk from folder of .fit files.py
Emberflurry/Bulk-HRSS-TSS-calc-from-Garmin-.fitfiles
d82f064ee0a97b2d826f434b5a21e8869c090e17
[ "MIT" ]
1
2021-07-19T17:45:13.000Z
2021-07-19T19:18:07.000Z
hrssCalcbulk from folder of .fit files.py
Emberflurry/Bulk-HRSS-TSS-calc-from-Garmin-.fitfiles
d82f064ee0a97b2d826f434b5a21e8869c090e17
[ "MIT" ]
null
null
null
import os import datetime from fitparse import * import pandas as pd import numpy as np from tqdm import tqdm from datetime import datetime import re # import matplotlib.pyplot as plt (not needed I guess) directory = 'fitfiles' # may want to make this more flexible--ie: not just in the directory of the code...works ...
35.914474
179
0.63235
732
5,459
4.621585
0.382514
0.018623
0.008868
0.013006
0.073603
0.023056
0.013006
0
0
0
0
0.01697
0.265983
5,459
151
180
36.152318
0.827302
0.328082
0
0.0625
0
0
0.046465
0
0
0
0
0
0
1
0.052083
false
0
0.083333
0
0.177083
0.09375
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
748c84a6a78daf32f1db550d0822cdb68bd66142
1,908
py
Python
textquote.py
patmanteau/panflutist
74e56fe6b6873015cfba766bb61277d6d81bbece
[ "BSD-3-Clause" ]
null
null
null
textquote.py
patmanteau/panflutist
74e56fe6b6873015cfba766bb61277d6d81bbece
[ "BSD-3-Clause" ]
null
null
null
textquote.py
patmanteau/panflutist
74e56fe6b6873015cfba766bb61277d6d81bbece
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python r""" Panflute filter supporting \textquote and \foreigntextquote in LaTeX Issues: - Nested parens with pandoc-citeproc Usage: - Use Pandoc markdown bracketed Spans: - [Ganz Gallien ist von den Römern besetzt]{.textquote cite="[vgl. @Goscinny_Asterix_1967, 1\psqq]"} - [Toute la Gau...
28.058824
135
0.559224
213
1,908
4.896714
0.441315
0.042186
0.040268
0.042186
0.113135
0.059444
0.059444
0
0
0
0
0.008154
0.292977
1,908
67
136
28.477612
0.765011
0.271488
0
0.2
0
0
0.196816
0.015919
0
0
0
0
0
1
0.1
false
0.05
0.05
0.025
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
748cbeedaa4ac6fe4d023634af107928994f029c
335
py
Python
sandbox/gff/fixit.py
molecules/bio
2a86a931162be47beca4d7bf73b2b3978f3ba402
[ "MIT" ]
28
2020-11-28T01:18:16.000Z
2022-03-25T16:42:53.000Z
sandbox/gff/fixit.py
molecules/bio
2a86a931162be47beca4d7bf73b2b3978f3ba402
[ "MIT" ]
3
2021-09-28T11:52:07.000Z
2022-03-22T07:47:46.000Z
sandbox/gff/fixit.py
molecules/bio
2a86a931162be47beca4d7bf73b2b3978f3ba402
[ "MIT" ]
8
2020-12-01T17:02:26.000Z
2022-02-14T16:57:46.000Z
""" Adds version number sequence id of a GFF file. """ import sys ACC=sys.argv[1] VER=sys.argv[2] for line in sys.stdin: line = line.strip() elems = line.split() if elems and elems[0] == ACC: elems[0] = f'{elems[0]}.{VER}' if line.startswith("#"): print (line) else: print("\...
20.9375
46
0.570149
52
335
3.673077
0.615385
0.094241
0
0
0
0
0
0
0
0
0
0.01992
0.250746
335
16
47
20.9375
0.741036
0.137313
0
0
0
0
0.067376
0
0
0
0
0
0
1
0
false
0
0.083333
0
0.083333
0.166667
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
7492f98aa56400f8ae0d4988b98264efada3bc27
2,010
py
Python
rstobj/directives/toc.py
MacHu-GWU/rstobj-project
40601f08e9e7ee2df5c514af04b040f61f76ed78
[ "MIT" ]
null
null
null
rstobj/directives/toc.py
MacHu-GWU/rstobj-project
40601f08e9e7ee2df5c514af04b040f61f76ed78
[ "MIT" ]
null
null
null
rstobj/directives/toc.py
MacHu-GWU/rstobj-project
40601f08e9e7ee2df5c514af04b040f61f76ed78
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ table of content directive. """ import attr from .base import Directive @attr.s class TableOfContent(Directive): """ ``.. contents::`` directive. parameter definition see here: http://docutils.sourceforge.net/docs/ref/rst/directives.html#table-of-contents :param title: ...
25.769231
113
0.595025
208
2,010
5.706731
0.399038
0.070767
0.043808
0.042965
0.203033
0.16765
0.16765
0.16765
0.121314
0.121314
0
0.002046
0.270647
2,010
77
114
26.103896
0.80764
0.389055
0
0.057143
0
0
0.088022
0.021779
0
0
0
0
0
1
0.057143
false
0
0.057143
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
7493ca43323db77c43ed2fc83412e3ad722c32a7
3,256
py
Python
StaffPage.py
yurunyang1998/XUPT_-
415c20550b54914b1206cfa3b83ddbe8260e7a6f
[ "MIT" ]
null
null
null
StaffPage.py
yurunyang1998/XUPT_-
415c20550b54914b1206cfa3b83ddbe8260e7a6f
[ "MIT" ]
null
null
null
StaffPage.py
yurunyang1998/XUPT_-
415c20550b54914b1206cfa3b83ddbe8260e7a6f
[ "MIT" ]
null
null
null
from flask import * import databaseModel from functools import wraps import time bp = Blueprint("StaffPage", __name__, url_prefix='/StaffPage') def login_required(func): @wraps(func) def wrapper(*args, **kwargs): UserName = session.get('UserName') if(UserName is not None): g.Use...
32.56
138
0.635749
312
3,256
6.519231
0.314103
0.06293
0.044739
0.051622
0.377581
0.333333
0.333333
0.333333
0.333333
0.247788
0
0.00409
0.249079
3,256
99
139
32.888889
0.827812
0.04914
0
0.276316
0
0
0.06252
0
0
0
0
0
0
1
0.065789
false
0
0.052632
0
0.223684
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
7493cdea568afe3db8cc36c7efb7d3a24d08c8e1
1,849
py
Python
daily_problems/problem_101_to_200/problem_131.py
rrwt/daily-coding-challenge
b16fc365fd142ebab429e605cb146c8bb0bc97a2
[ "MIT" ]
1
2019-04-18T03:29:02.000Z
2019-04-18T03:29:02.000Z
daily_problems/problem_101_to_200/problem_131.py
rrwt/daily-coding-challenge
b16fc365fd142ebab429e605cb146c8bb0bc97a2
[ "MIT" ]
null
null
null
daily_problems/problem_101_to_200/problem_131.py
rrwt/daily-coding-challenge
b16fc365fd142ebab429e605cb146c8bb0bc97a2
[ "MIT" ]
null
null
null
""" Given the head to a singly linked list, where each node also has a “random” pointer that points to anywhere in the linked list, deep clone the list. """ from typing import Tuple class Node: def __init__(self, data: int) -> None: self.data = data self.next = None self.random = None de...
26.042254
83
0.622499
259
1,849
4.332046
0.254826
0.171123
0.096257
0.071301
0.171123
0.153298
0.039216
0.039216
0
0
0
0.004464
0.273121
1,849
70
84
26.414286
0.830357
0.161168
0
0.155556
0
0
0.031537
0
0
0
0
0
0
1
0.044444
false
0
0.022222
0
0.111111
0.044444
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
749446711702bf00c7f0f56b3ec4b6af7960f483
1,095
py
Python
view/basev64/__init__.py
desktophzj/wolverine-tkinter
8e499c877ba7f5da11e63e30ecb25d54f6f3b6e9
[ "Apache-2.0" ]
null
null
null
view/basev64/__init__.py
desktophzj/wolverine-tkinter
8e499c877ba7f5da11e63e30ecb25d54f6f3b6e9
[ "Apache-2.0" ]
null
null
null
view/basev64/__init__.py
desktophzj/wolverine-tkinter
8e499c877ba7f5da11e63e30ecb25d54f6f3b6e9
[ "Apache-2.0" ]
null
null
null
import tkinter as tk from tkinter import ttk raw_data_label_y_location = 20 raw_data_entry_location = raw_data_label_y_location + 20 encode_button_location = raw_data_entry_location + 20 decode_button_location = encode_button_location + 20 base64_data_label_y_location = decode_button_location + 20 base64_data_entry_y_...
33.181818
64
0.699543
172
1,095
4.116279
0.215116
0.09887
0.076271
0.084746
0.536723
0.237288
0
0
0
0
0
0.080645
0.207306
1,095
32
65
34.21875
0.735023
0.013699
0
0
0
0
0.028784
0
0
0
0
0
0
1
0.041667
false
0
0.083333
0
0.208333
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
749477a57d991a4da5d6d7c1a4757df77ab77a72
3,307
py
Python
research/cv/csd/src/edsr_slim.py
mindspore-ai/models
9127b128e2961fd698977e918861dadfad00a44c
[ "Apache-2.0" ]
77
2021-10-15T08:32:37.000Z
2022-03-30T13:09:11.000Z
research/cv/csd/src/edsr_slim.py
mindspore-ai/models
9127b128e2961fd698977e918861dadfad00a44c
[ "Apache-2.0" ]
3
2021-10-30T14:44:57.000Z
2022-02-14T06:57:57.000Z
research/cv/csd/src/edsr_slim.py
mindspore-ai/models
9127b128e2961fd698977e918861dadfad00a44c
[ "Apache-2.0" ]
24
2021-10-15T08:32:45.000Z
2022-03-24T18:45:20.000Z
# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
38.011494
112
0.629574
451
3,307
4.439024
0.292683
0.06993
0.083916
0.034965
0.286214
0.214785
0.147852
0.147852
0.102897
0.102897
0
0.010723
0.238585
3,307
86
113
38.453488
0.784353
0.213789
0
0.074074
0
0
0.002346
0
0
0
0
0
0
1
0.037037
false
0
0.074074
0
0.148148
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
7494c2f962bcdfe2ec84fe9915ae2232069d6c59
6,317
py
Python
1_prepare_data/docker/code/make_tfRecords.py
gianpd/amazon-sagemaker-tensorflow-object-detection-api
80c654a9767bb26389db468c7e6df3300f2debb4
[ "MIT-0" ]
null
null
null
1_prepare_data/docker/code/make_tfRecords.py
gianpd/amazon-sagemaker-tensorflow-object-detection-api
80c654a9767bb26389db468c7e6df3300f2debb4
[ "MIT-0" ]
null
null
null
1_prepare_data/docker/code/make_tfRecords.py
gianpd/amazon-sagemaker-tensorflow-object-detection-api
80c654a9767bb26389db468c7e6df3300f2debb4
[ "MIT-0" ]
null
null
null
import os import sys import json from pathlib import Path import pandas as pd import random import tensorflow as tf import io import argparse from PIL import Image from collections import namedtuple from object_detection.utils import dataset_util, label_map_util import logging logging.basicConfig(strea...
39.48125
104
0.614849
837
6,317
4.444444
0.253286
0.038441
0.023656
0.030108
0.214516
0.094086
0.03871
0.022043
0
0
0
0.004636
0.248852
6,317
160
105
39.48125
0.779347
0.040051
0
0.014925
0
0
0.228805
0.027068
0
0
0
0
0
1
0.044776
false
0
0.097015
0.007463
0.179104
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
74984e77e478676a74e3414a580cf3837bbf6e4c
16,641
py
Python
reinforcement_learning/q_learn.py
noderod/DARLMID
5737dbe222ce5a5a847c1d0a8d1af64dda87e5b2
[ "MIT" ]
null
null
null
reinforcement_learning/q_learn.py
noderod/DARLMID
5737dbe222ce5a5a847c1d0a8d1af64dda87e5b2
[ "MIT" ]
null
null
null
reinforcement_learning/q_learn.py
noderod/DARLMID
5737dbe222ce5a5a847c1d0a8d1af64dda87e5b2
[ "MIT" ]
null
null
null
""" SUMMARY Reinforcement learning via q-learning on the provided data, using previous data if requested """ import argparse import json import random import sys import matplotlib.pyplot as plt import numpy as np import auxiliary as aux from vehicle import Vehicle # Sets seed for reproducibility random.seed(0) ...
36.654185
180
0.607656
2,287
16,641
4.136423
0.143857
0.004651
0.004757
0.006342
0.50518
0.463953
0.427907
0.383932
0.346934
0.32093
0
0.010339
0.261823
16,641
453
181
36.735099
0.759769
0.241151
0
0.262443
0
0
0.089313
0.005507
0
0
0
0
0.022624
1
0.00905
false
0
0.036199
0
0.049774
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
7499a0d47d4f28aa8fbfe508262da370434f71b2
12,260
py
Python
src/sark110.py
EA4FRB/sark110-python
ff5ace7c0d71f9de48772cdb1cedb98f5c22df8a
[ "MIT" ]
2
2019-09-03T18:43:53.000Z
2019-11-06T18:26:23.000Z
src/sark110.py
EA4FRB/sark110-python
ff5ace7c0d71f9de48772cdb1cedb98f5c22df8a
[ "MIT" ]
1
2020-04-03T22:59:18.000Z
2020-04-29T16:17:02.000Z
src/sark110.py
EA4FRB/sark110-python
ff5ace7c0d71f9de48772cdb1cedb98f5c22df8a
[ "MIT" ]
1
2019-09-05T16:40:55.000Z
2019-09-05T16:40:55.000Z
# --------------------------------------------------------- """ This file is a part of the "SARK110 Antenna Vector Impedance Analyzer" software MIT License @author Copyright (c) 2020 Melchor Varela - EA4FRB Permission is hereby granted, free of charge, to any person obtaining a copy of this software and as...
29.757282
112
0.49633
1,508
12,260
3.899204
0.215517
0.029932
0.019048
0.011224
0.331463
0.292347
0.264456
0.233163
0.188605
0.185884
0
0.072789
0.370228
12,260
411
113
29.829684
0.688771
0.258075
0
0.431159
0
0
0.017615
0
0
0
0.022865
0
0
1
0.076087
false
0
0.025362
0.021739
0.278986
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
749bf7c085175f0c77d7d99fa53fad97cc10c478
2,295
py
Python
Utkarsh1.py
utkarsh7236/SCILLA
e11e4d753823ad522a1b3168283b6e6ffe3ea393
[ "Apache-2.0" ]
null
null
null
Utkarsh1.py
utkarsh7236/SCILLA
e11e4d753823ad522a1b3168283b6e6ffe3ea393
[ "Apache-2.0" ]
null
null
null
Utkarsh1.py
utkarsh7236/SCILLA
e11e4d753823ad522a1b3168283b6e6ffe3ea393
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python import sqlite3 path = '/Users/Utkarsh/PycharmProjects/SCILLA/Experiments/circuits.db' def select_all_tasks(conn): """ Query all rows in the tasks table :param conn: the Connection object :return: """ cur = conn.cursor() cur.execute("SELECT * FROM tasks") rows = cur....
21.650943
80
0.608715
277
2,295
4.891697
0.227437
0.035424
0.041328
0.039852
0.729889
0.673801
0.673801
0.558672
0.558672
0.526199
0
0.00537
0.269717
2,295
106
81
21.650943
0.803103
0.680174
0
0
0
0
0.186495
0.098071
0
0
0
0
0
1
0.105263
false
0
0.052632
0
0.210526
0.157895
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
749c75778c0228cfbbf366e87be5465e687bc993
1,839
py
Python
inference.py
ShaneTian/Induction-Networks
5785e13425e3c9020c8699402d546d018ec735bf
[ "Apache-2.0" ]
5
2020-06-13T07:43:33.000Z
2021-06-14T03:27:11.000Z
inference.py
ShaneTian/Induction-Networks
5785e13425e3c9020c8699402d546d018ec735bf
[ "Apache-2.0" ]
2
2020-06-15T04:53:18.000Z
2020-10-24T12:37:27.000Z
inference.py
ShaneTian/Induction-Networks
5785e13425e3c9020c8699402d546d018ec735bf
[ "Apache-2.0" ]
1
2021-01-08T11:27:07.000Z
2021-01-08T11:27:07.000Z
import argparse import numpy as np from paddle import fluid def main(): parser = argparse.ArgumentParser() parser.add_argument("--model_path", type=str, help="Path of __model__ and __params__") parser.add_argument("--use_cuda", action="store_true") args = parser.parse_args() ...
35.365385
90
0.641109
248
1,839
4.455645
0.346774
0.090498
0.135747
0.070588
0.241629
0.241629
0.241629
0.124887
0.124887
0.070588
0
0.020759
0.240348
1,839
52
91
35.365385
0.770222
0.035889
0
0
0
0
0.079141
0
0
0
0
0
0
1
0.051282
false
0
0.076923
0
0.153846
0.102564
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
749d83fb75da72d4575c40c6649383b7eedc9468
3,125
py
Python
dynaban/pypot/callback.py
laukik-hase/imitation_of_human_arm_on_robotic_manipulator
995beb1ab41597ca6cbecd0baecdef1ef13450f9
[ "MIT" ]
3
2021-11-13T16:54:31.000Z
2021-11-13T20:50:18.000Z
dynaban/pypot/callback.py
laukik-hase/human_arm_imitation
995beb1ab41597ca6cbecd0baecdef1ef13450f9
[ "MIT" ]
null
null
null
dynaban/pypot/callback.py
laukik-hase/human_arm_imitation
995beb1ab41597ca6cbecd0baecdef1ef13450f9
[ "MIT" ]
null
null
null
import paho.mqtt.client as paho import time import Queue as queue import json import real_time_manipulator_math_utils import pprint pp = pprint.PrettyPrinter(indent=4) # import rbdl # import manip motion def on_connect(client, userdata, flags, rc): client.subscribe(topic, qos) def on_message(client, userdata...
26.939655
91
0.5984
365
3,125
4.983562
0.312329
0.034634
0.019791
0.036284
0.173722
0.090159
0.090159
0.090159
0.090159
0.090159
0
0.009005
0.28928
3,125
116
92
26.939655
0.809996
0.10144
0
0.220779
0
0
0.069027
0
0
0
0
0
0
1
0.025974
false
0
0.077922
0
0.103896
0.12987
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
749f2f672fb718a35a7272b4f9459c0ee34795d3
4,679
py
Python
emwiki/article/views.py
etmula/emwiki
e162a9976688d543f2e3bd71634913c14cdb9d54
[ "MIT" ]
2
2019-08-02T01:08:13.000Z
2020-11-17T12:47:02.000Z
emwiki/article/views.py
g063ff/emwiki
a379b2b2863e9059eac014183cb94c39670e11a0
[ "MIT" ]
101
2019-07-29T07:44:56.000Z
2022-03-31T04:11:04.000Z
emwiki/article/views.py
g063ff/emwiki
a379b2b2863e9059eac014183cb94c39670e11a0
[ "MIT" ]
11
2019-07-24T02:37:35.000Z
2021-12-09T05:24:31.000Z
import os from django.conf import settings from django.contrib.auth.decorators import login_required from django.core import serializers from django.http import HttpResponse, JsonResponse, Http404 from django.shortcuts import render, get_object_or_404 from django.urls import reverse, reverse_lazy from django.utils.dec...
37.432
99
0.63069
546
4,679
5.223443
0.234432
0.065568
0.024544
0.041725
0.342216
0.301893
0.222651
0.084151
0.037868
0.037868
0
0.004587
0.254542
4,679
124
100
37.733871
0.813073
0.010259
0
0.173077
0
0
0.118168
0.004537
0
0
0
0
0
1
0.076923
false
0
0.105769
0.028846
0.346154
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
749f6d74baed280144d534ef8d72acec4e74fc71
3,131
py
Python
kivy3/objects/lines.py
sb-blueprint/kivy3
e5d6c5758b610503109eb2c788bcff4f3410bd06
[ "MIT" ]
null
null
null
kivy3/objects/lines.py
sb-blueprint/kivy3
e5d6c5758b610503109eb2c788bcff4f3410bd06
[ "MIT" ]
null
null
null
kivy3/objects/lines.py
sb-blueprint/kivy3
e5d6c5758b610503109eb2c788bcff4f3410bd06
[ "MIT" ]
null
null
null
""" The MIT License (MIT) Copyright (c) 2013 Niko Skrypnik Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge...
36.406977
77
0.63526
404
3,131
4.831683
0.423267
0.045082
0.01332
0.008197
0
0
0
0
0
0
0
0.015604
0.283615
3,131
85
78
36.835294
0.854659
0.372724
0
0.074074
0
0
0.06359
0
0
0
0
0
0
1
0.055556
false
0
0.055556
0
0.12963
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
749fd6335e4af9798ed3bf9db18e89282313e71e
1,262
py
Python
core/tools/pencil.py
INTJT/conway
7d3165382b3a691163cae30e33db97c544c043a6
[ "MIT" ]
null
null
null
core/tools/pencil.py
INTJT/conway
7d3165382b3a691163cae30e33db97c544c043a6
[ "MIT" ]
null
null
null
core/tools/pencil.py
INTJT/conway
7d3165382b3a691163cae30e33db97c544c043a6
[ "MIT" ]
null
null
null
from core.tools.tool import Tool from core.editor import Editor class Pencil(Tool): def __init__(self, button, board): super(Pencil, self).__init__(button, board) self._changed = set() Editor()["pre-pencil"] = board.copy() self._fill = button def _need_change(self, value): ...
25.24
102
0.532488
165
1,262
3.915152
0.278788
0.018576
0.069659
0.04644
0.123839
0.123839
0
0
0
0
0
0.006046
0.344691
1,262
49
103
25.755102
0.775091
0
0
0.0625
0
0
0.035658
0
0
0
0
0
0
1
0.1875
false
0
0.0625
0.0625
0.34375
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
74a12178988d7dbec19f36ed51efbc1d85879c24
3,248
py
Python
pinsey/thread/LikesBotThread.py
RailKill/Pinsey
72a283e6c5683b27918b511d80e45c3af4e67539
[ "MIT" ]
3
2021-02-01T06:47:06.000Z
2022-01-09T05:54:35.000Z
pinsey/thread/LikesBotThread.py
RailKill/Pinsey
72a283e6c5683b27918b511d80e45c3af4e67539
[ "MIT" ]
4
2019-10-23T09:52:36.000Z
2022-03-11T23:17:23.000Z
pinsey/thread/LikesBotThread.py
RailKill/Pinsey
72a283e6c5683b27918b511d80e45c3af4e67539
[ "MIT" ]
null
null
null
import logging from pynder import errors from random import randint from PyQt5 import QtCore class LikesBotThread(QtCore.QThread): """ This is a QThread which runs in the background as a PyQt Signal. It emits the matches object. To access the matches object, you need to retrieve from the signal, w...
47.764706
112
0.591441
375
3,248
4.994667
0.4
0.046983
0.029899
0.041644
0.107848
0.025627
0
0
0
0
0
0.007889
0.336515
3,248
67
113
48.477612
0.861253
0.248768
0
0.106383
0
0
0.106672
0
0
0
0
0
0
1
0.06383
false
0
0.085106
0
0.191489
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
74a2534ab9e9ba29bdec5c71f0832442026ad789
13,081
py
Python
train.py
SkyLLine/Inception-v4-in-mindspore
9a23261252baad27cbd7bc8028087e4bba48b318
[ "MIT" ]
1
2020-12-23T12:31:08.000Z
2020-12-23T12:31:08.000Z
train.py
SkyLLine/Inception-v4-in-mindspore
9a23261252baad27cbd7bc8028087e4bba48b318
[ "MIT" ]
null
null
null
train.py
SkyLLine/Inception-v4-in-mindspore
9a23261252baad27cbd7bc8028087e4bba48b318
[ "MIT" ]
null
null
null
import mindspore as ms import mindspore.nn as nn import mindspore.ops.operations as operator import os from lr_generator import get_lr from CrossEntropy import CrossEntropy import argparse from inception_A import inception_A from inception_B import inception_B import numpy as np from inception_C import inception_C from...
39.759878
125
0.690467
1,776
13,081
4.866554
0.193131
0.007868
0.022215
0.024297
0.413514
0.385746
0.346292
0.292607
0.264144
0.25188
0
0.018462
0.200826
13,081
329
126
39.759878
0.808303
0.240272
0
0.306604
0
0.018868
0.066019
0
0
0
0
0
0
1
0.056604
false
0
0.216981
0
0.311321
0.009434
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
74a4b609cbd07e7dfd15a960bb342cacfe14d3fb
2,034
py
Python
setup.py
Jumpscale/ays9
63bd414ff06372ba885c55eec528f427e63bcbe1
[ "Apache-2.0" ]
4
2017-06-07T08:10:06.000Z
2017-11-10T02:20:38.000Z
setup.py
Jumpscale/ays9
63bd414ff06372ba885c55eec528f427e63bcbe1
[ "Apache-2.0" ]
242
2017-05-18T10:51:48.000Z
2019-09-18T15:09:47.000Z
setup.py
Jumpscale/ays9
63bd414ff06372ba885c55eec528f427e63bcbe1
[ "Apache-2.0" ]
5
2017-06-16T15:43:25.000Z
2017-09-29T12:48:06.000Z
from setuptools import setup, find_packages from setuptools.command.install import install as _install from setuptools.command.develop import develop as _develop import os def _post_install(libname, libpath): from js9 import j # add this plugin to the config c = j.core.state.configGet('plugins', defval={...
25.746835
67
0.629302
243
2,034
5.123457
0.45679
0.028916
0.043373
0.060241
0.24257
0.24257
0.24257
0.24257
0.24257
0.24257
0
0.016731
0.235988
2,034
78
68
26.076923
0.784427
0.037365
0
0.237288
0
0
0.187308
0
0
0
0
0
0
1
0.050847
false
0
0.118644
0
0.20339
0.016949
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
74a63aca3e7e9199c9e3c65398a87cb9cc5d927d
12,246
py
Python
nettruyen_downloader_script.py
quantrancse/nettruyen-downloader-script
1ff5d67fc3a99009385fd3ab5976c582246a2783
[ "MIT" ]
4
2020-09-15T16:29:53.000Z
2022-02-18T17:36:46.000Z
nettruyen_downloader_script.py
quantrancse/nettruyen-downloader-script
1ff5d67fc3a99009385fd3ab5976c582246a2783
[ "MIT" ]
null
null
null
nettruyen_downloader_script.py
quantrancse/nettruyen-downloader-script
1ff5d67fc3a99009385fd3ab5976c582246a2783
[ "MIT" ]
4
2021-07-06T04:26:15.000Z
2022-01-07T05:55:46.000Z
import argparse import signal import sys import time from concurrent.futures import ThreadPoolExecutor from os import mkdir from os.path import isdir from urllib.parse import urlparse import requests from bs4 import BeautifulSoup HEADERS = { 'Connection': 'keep-alive', 'User-Agent': 'Mozilla/5.0...
38.87619
153
0.565981
1,400
12,246
4.683571
0.180714
0.043923
0.046363
0.024554
0.295715
0.230441
0.140003
0.077322
0.049108
0.049108
0
0.011773
0.33415
12,246
314
154
39
0.792372
0.020578
0
0.173387
0
0.008065
0.137532
0.013967
0
0
0
0
0
1
0.068548
false
0
0.040323
0.004032
0.165323
0.052419
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
74a8fdbcc478237889a10e97a2c4357eca96a428
3,017
py
Python
tenff/__main__.py
rr-/10ff
9be5cf03eda09f1fe0920d67d9e09d4886c34ef3
[ "WTFPL" ]
53
2017-09-30T16:05:39.000Z
2022-02-04T08:19:26.000Z
tenff/__main__.py
rr-/10ff
9be5cf03eda09f1fe0920d67d9e09d4886c34ef3
[ "WTFPL" ]
2
2017-12-08T10:07:42.000Z
2020-05-20T21:46:27.000Z
tenff/__main__.py
rr-/10ff
9be5cf03eda09f1fe0920d67d9e09d4886c34ef3
[ "WTFPL" ]
2
2019-12-18T04:23:10.000Z
2020-09-25T10:31:04.000Z
"""Main executable.""" import argparse import asyncio from tenff.game import GameSettings, run_game from tenff.terminal import TerminalInputHandler from tenff.util import CORPORA_PATH, get_corpus_path, parse_corpus DEFAULT_TIME = 60 PROLOG = ( "A certain typing contest site spin-off in CLI, without all the " ...
26.699115
78
0.608552
341
3,017
5.202346
0.410557
0.040586
0.047914
0.019166
0
0
0
0
0
0
0
0.004204
0.290355
3,017
112
79
26.9375
0.824381
0.121975
0
0.088608
0
0
0.152496
0
0
0
0
0
0
1
0.037975
false
0
0.063291
0
0.164557
0.012658
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
74a90fbaab5a1695a359f7f2248d252b5d5d1dbb
2,248
py
Python
python-algorithm/leetcode/problem_76.py
isudox/nerd-algorithm
c1fbe153953cf3fc24395f75d102016fdf9ea0fa
[ "MIT" ]
5
2017-06-11T09:19:34.000Z
2019-01-16T16:58:31.000Z
python-algorithm/leetcode/problem_76.py
isudox/leetcode-solution
60085e64deaf396a171367affc94b18114565c43
[ "MIT" ]
5
2020-03-22T13:53:54.000Z
2020-03-23T08:49:35.000Z
python-algorithm/leetcode/problem_76.py
isudox/nerd-algorithm
c1fbe153953cf3fc24395f75d102016fdf9ea0fa
[ "MIT" ]
1
2019-03-02T15:50:43.000Z
2019-03-02T15:50:43.000Z
"""76. Minimum Window Substring https://leetcode.com/problems/minimum-window-substring/ Given a string S and a string T, find the minimum window in S which will contain all the characters in T in complexity O(n). Example: Input: S = "ADOBECODEBANC", T = "ABC" Output: "BANC" Note: If there is no such window in S that...
33.552239
77
0.479982
289
2,248
3.584775
0.276817
0.054054
0.03861
0.054054
0.299228
0.260618
0.233591
0.233591
0.233591
0.233591
0
0.012058
0.446619
2,248
66
78
34.060606
0.82074
0.25089
0
0.355556
0
0
0
0
0
0
0
0
0
1
0.044444
false
0
0
0
0.133333
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
74ab68465c97b9a682ec0c65d4118ab45c6835b2
4,138
py
Python
inventory/urls.py
common1/newassetcms
65eee3c2ed9dac4cc56bfff863a6cbaff9830d26
[ "MIT" ]
null
null
null
inventory/urls.py
common1/newassetcms
65eee3c2ed9dac4cc56bfff863a6cbaff9830d26
[ "MIT" ]
7
2020-06-05T20:43:46.000Z
2022-01-13T01:14:21.000Z
inventory/urls.py
common1/newassetcms
65eee3c2ed9dac4cc56bfff863a6cbaff9830d26
[ "MIT" ]
null
null
null
from django.urls import path from . import views app_name = 'inventory' urlpatterns = [ path('assettypes/', views.AssetTypesIndexView.as_view(), name='index_assettypes'), path('assettypes/create/', views.AssetTypeCreateView.as_view(), name='create_assettype'), path('assettypes/update/<in...
45.977778
80
0.694538
421
4,138
6.631829
0.175772
0.073066
0.121777
0.037607
0
0
0
0
0
0
0
0
0.149106
4,138
89
81
46.494382
0.792957
0
0
0
0
0
0.361044
0.182939
0
0
0
0
0
1
0
false
0
0.025316
0
0.025316
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
77639b8b9fd4e3c9cd0c8b422d0c68a3e323eb36
239
py
Python
Python/Transpose and Flatten/Solution.py
chessmastersan/HackerRank
850319e6f79e7473afbb847d28edde7b2cdfc37d
[ "MIT" ]
2
2019-08-07T19:58:20.000Z
2019-08-27T00:06:09.000Z
Python/Transpose and Flatten/Solution.py
chessmastersan/HackerRank
850319e6f79e7473afbb847d28edde7b2cdfc37d
[ "MIT" ]
1
2020-06-11T19:09:48.000Z
2020-06-11T19:09:48.000Z
Python/Transpose and Flatten/Solution.py
chessmastersan/HackerRank
850319e6f79e7473afbb847d28edde7b2cdfc37d
[ "MIT" ]
7
2019-08-27T00:06:11.000Z
2021-12-11T10:01:45.000Z
#author SANKALP SAXENA import numpy size = input().split(" ") n = int(size[0]) l = [] for i in range(0, n): a = input().split(" ") l.append(a) arr = numpy.array(l, int) trans = arr.transpose() print(trans) print(arr.flatten())
15.933333
26
0.606695
38
239
3.815789
0.631579
0.137931
0
0
0
0
0
0
0
0
0
0.010363
0.192469
239
14
27
17.071429
0.740933
0.087866
0
0
0
0
0.009302
0
0
0
0
0
0
1
0
false
0
0.090909
0
0.090909
0.181818
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
7763bc166d4d7ffcd7c15717edaf06b9a61c5b0b
1,564
py
Python
src/service.py
wisrovi/AWS_DIA_17NOV
bfe734197dd9658504ecea6a9f89162877d80fdf
[ "MIT" ]
null
null
null
src/service.py
wisrovi/AWS_DIA_17NOV
bfe734197dd9658504ecea6a9f89162877d80fdf
[ "MIT" ]
null
null
null
src/service.py
wisrovi/AWS_DIA_17NOV
bfe734197dd9658504ecea6a9f89162877d80fdf
[ "MIT" ]
null
null
null
from flask import Flask, app, jsonify, request, redirect, make_response from leer_modelo import predecir ALLOWED = ['png','jpg', 'jpeg', 'gif'] def evaluar_extension_archivo(filename): tiene_punto = "." in filename if tiene_punto: extension_archivo = filename.split(".", 1)[1].lower() if extensi...
27.928571
71
0.642583
189
1,564
5.100529
0.470899
0.082988
0.082988
0.058091
0
0
0
0
0
0
0
0.010788
0.22954
1,564
55
72
28.436364
0.789212
0.048593
0
0.052632
0
0
0.232323
0.034343
0
0
0
0
0
1
0.052632
false
0
0.052632
0
0.210526
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
77640065b3e76d426adcd9f96234a785912b54fb
1,220
py
Python
system/detection.py
syazanihussin/FLUX
22a1885c9ff7ef82cd306e4c3544998a71027b5d
[ "MIT" ]
null
null
null
system/detection.py
syazanihussin/FLUX
22a1885c9ff7ef82cd306e4c3544998a71027b5d
[ "MIT" ]
1
2019-05-26T04:58:17.000Z
2019-05-30T15:30:51.000Z
system/detection.py
syazanihussin/FLUX
22a1885c9ff7ef82cd306e4c3544998a71027b5d
[ "MIT" ]
null
null
null
from interface import implements, Interface from keras.models import load_model class IDetection(Interface): def detect_fake_news(self, type, news): pass class Detection(implements(IDetection)): def detect_fake_news(self, type, news): # load detection model detection_model = self...
25.957447
79
0.64918
142
1,220
5.323944
0.274648
0.092593
0.074074
0.084656
0.195767
0.195767
0.161376
0
0
0
0
0.004484
0.268852
1,220
46
80
26.521739
0.843049
0.07377
0
0.16
0
0
0.060391
0.041741
0
0
0
0
0
1
0.16
false
0.04
0.08
0
0.48
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
77650de3eab4c78cafaa8bab4bb47104bd26bb30
2,926
py
Python
Spark-Example-FlightsData/flights_example.py
kiat/met-cs777
405aca20c8db4350a7a0d04607ff05f3c4e97c2f
[ "BSD-3-Clause" ]
32
2020-07-02T00:51:13.000Z
2022-03-31T22:31:30.000Z
Flight-Example/flights_example.py
pvkothapalli/MET-CS777
6825bec99581b04f9bcc328cdaa698faa2af7313
[ "BSD-3-Clause" ]
2
2021-02-17T00:42:23.000Z
2021-02-18T17:28:38.000Z
Flight-Example/flights_example.py
pvkothapalli/MET-CS777
6825bec99581b04f9bcc328cdaa698faa2af7313
[ "BSD-3-Clause" ]
47
2020-07-04T15:29:15.000Z
2022-03-25T05:08:17.000Z
# https://s3.amazonaws.com/metcs777/flights.csv.bz2 # s3n://metcs777/flights.csv.bz2 # lines = sc.textFile("file:///home/kia/Data/Collected-Datasets/flight-delays/flight-delays/flights.csv") lines = sc.textFile("s3://metcs777/flights.csv.bz2") # Removing the Header Line from CSV file linesHeader = lines.first() he...
31.12766
400
0.775803
449
2,926
4.973274
0.36971
0.025078
0.037618
0.025526
0.262875
0.21854
0.188088
0.188088
0.112853
0.112853
0
0.031127
0.132604
2,926
93
401
31.462366
0.8487
0.757348
0
0
0
0
0.049327
0.043348
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
77678f260d8155b4fbe2ca23186e87d0ca0dde81
1,510
py
Python
setup.py
farirat/rima
eb2165d972256c32d4859c3bf54c5e4b589d780f
[ "Apache-2.0" ]
2
2016-05-07T10:09:29.000Z
2016-06-10T05:36:20.000Z
setup.py
farirat/rima
eb2165d972256c32d4859c3bf54c5e4b589d780f
[ "Apache-2.0" ]
null
null
null
setup.py
farirat/rima
eb2165d972256c32d4859c3bf54c5e4b589d780f
[ "Apache-2.0" ]
null
null
null
from setuptools import setup, find_packages import sys, os version = '0.0' setup(name='rima', version=version, description="Minimalist Python REST API Framework", long_description="""\ Minimalist Python REST API Framework """, classifiers=[ "Development Status :: 1 - Planning",...
34.318182
82
0.575497
140
1,510
6.128571
0.628571
0.060606
0.055944
0.06993
0.156177
0.100233
0
0
0
0
0
0.006458
0.282119
1,510
43
83
35.116279
0.785055
0.065563
0
0.1
0
0
0.514915
0.018466
0
0
0
0
0
1
0
false
0
0.05
0
0.05
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
7767ac0e64dfc02b7c55003a7ff7dca82f05c66d
10,438
py
Python
src/backend/aspen/workflows/nextstrain_run/export.py
chanzuckerberg/covidr
afe05d703d30ec18ac83944bfb551c313cb216c4
[ "MIT" ]
2
2021-01-13T18:37:20.000Z
2021-01-16T02:17:38.000Z
src/backend/aspen/workflows/nextstrain_run/export.py
chanzuckerberg/covidr
afe05d703d30ec18ac83944bfb551c313cb216c4
[ "MIT" ]
16
2021-01-14T20:21:13.000Z
2021-01-29T22:23:13.000Z
src/backend/aspen/workflows/nextstrain_run/export.py
chanzuckerberg/covidr
afe05d703d30ec18ac83944bfb551c313cb216c4
[ "MIT" ]
null
null
null
import csv import io import json from pathlib import Path from typing import Any, Iterable, List, Mapping, MutableMapping, Set, Tuple import click from sqlalchemy import and_ from sqlalchemy.orm import aliased, joinedload, with_polymorphic from aspen.config.config import Config from aspen.database.connection import (...
35.144781
91
0.627132
1,122
10,438
5.567736
0.213904
0.056027
0.024652
0.013446
0.245718
0.227789
0.191452
0.185369
0.171923
0.128382
0
0.001064
0.279651
10,438
296
92
35.263514
0.829765
0.079805
0
0.070313
0
0
0.087705
0.005214
0
0
0
0
0
1
0.011719
false
0
0.046875
0
0.0625
0.007813
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
77685ce53cb05d06d03bc4a12c6065a439cae421
485
py
Python
dictlearn_gpu/utils.py
mukheshpugal/dictlearn_gpu
79265ddc439e2a406adbe7e505b1b6d61fa50d25
[ "MIT" ]
null
null
null
dictlearn_gpu/utils.py
mukheshpugal/dictlearn_gpu
79265ddc439e2a406adbe7e505b1b6d61fa50d25
[ "MIT" ]
null
null
null
dictlearn_gpu/utils.py
mukheshpugal/dictlearn_gpu
79265ddc439e2a406adbe7e505b1b6d61fa50d25
[ "MIT" ]
null
null
null
import cupy as cp import numpy as np def to_gpu(mat): if not isinstance(mat, cp.ndarray): return cp.asarray(mat, dtype=cp.float32) return mat def dct_dict_1d(n_atoms, size): dct = np.zeros((size, n_atoms)) for k in range(n_atoms): basis = np.cos(np.arange(size) * k * n...
22.045455
62
0.560825
75
485
3.533333
0.493333
0.090566
0.090566
0
0
0
0
0
0
0
0
0.012158
0.321649
485
21
63
23.095238
0.793313
0
0
0
0
0
0
0
0
0
0
0
0
1
0.133333
false
0
0.133333
0
0.466667
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
7768c92d141b2480a0d707c158a88bcde5139d2f
4,263
py
Python
yaglm/opt/prox.py
ngierty/yaglm
57e212b576af7c5c0f0d62f9d6ad2484b9e25f10
[ "MIT" ]
15
2021-10-19T15:00:12.000Z
2022-03-24T22:24:54.000Z
yaglm/opt/prox.py
ngierty/yaglm
57e212b576af7c5c0f0d62f9d6ad2484b9e25f10
[ "MIT" ]
13
2021-07-22T21:52:55.000Z
2021-10-07T11:50:10.000Z
yaglm/opt/prox.py
ngierty/yaglm
57e212b576af7c5c0f0d62f9d6ad2484b9e25f10
[ "MIT" ]
2
2021-11-12T18:45:12.000Z
2021-12-14T14:57:42.000Z
import numpy as np from yaglm.linalg_utils import euclid_norm def soft_thresh(vec, thresh_vals): """ The soft thresholding operator. Parameters ---------- vec: array-like The values to threshold thresh_vals: float, array-like The thresholding values Output ------- ...
25.076471
172
0.604269
597
4,263
4.157454
0.268007
0.033844
0.058018
0.033844
0.311039
0.267123
0.257051
0.257051
0.239323
0.172442
0
0.017286
0.280788
4,263
169
173
25.224852
0.792237
0.726484
0
0
0
0
0
0
0
0
0
0.005917
0.041667
1
0.125
false
0
0.083333
0
0.375
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
77692efc43ca99a211134cc384641108b1111a00
902
py
Python
HW-1.py
SESCNCFUARTYOM/repforkeys
a20b14f16f3dd0df4f95b9927855b77bde7ef8e3
[ "MIT" ]
null
null
null
HW-1.py
SESCNCFUARTYOM/repforkeys
a20b14f16f3dd0df4f95b9927855b77bde7ef8e3
[ "MIT" ]
null
null
null
HW-1.py
SESCNCFUARTYOM/repforkeys
a20b14f16f3dd0df4f95b9927855b77bde7ef8e3
[ "MIT" ]
null
null
null
n, i, m, g, gg = 0, 0, 0, 0, 0 n = int(input()) if n > 1983: while n > 1983: n -= 60 m = n - 1923 else: while n < 1983: n += 60 m = n - 1983 g = (m // 12) + 1 gg = m % 12 result = '' if g == 1: result = 'зеленой' elif g == 2: result = 'красной' elif g == 3: resul...
15.824561
30
0.473392
133
902
3.210526
0.345865
0.154567
0.021077
0.018735
0.070258
0.070258
0.070258
0
0
0
0
0.091681
0.347007
902
57
31
15.824561
0.633277
0
0
0.04
0
0
0.127353
0
0
0
0
0
0
1
0
false
0
0
0
0
0.02
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
77694ac8b2dc5a16098243dd7f10b1803ad2cd33
1,961
py
Python
App/workflow.py
dataminion/ScienceManager
924e1de41aca56985d9e30750264eb995604f352
[ "MIT" ]
null
null
null
App/workflow.py
dataminion/ScienceManager
924e1de41aca56985d9e30750264eb995604f352
[ "MIT" ]
null
null
null
App/workflow.py
dataminion/ScienceManager
924e1de41aca56985d9e30750264eb995604f352
[ "MIT" ]
null
null
null
#workflow import sys ##python libraries import argparse import logging import logging.config ## ## Internal libraries from service.configuration import Configuration from service.job import Job from model.object import Object from model.connection import ConnectionSettings from model.workflow import * class Program(o...
30.169231
92
0.63743
249
1,961
4.86747
0.37751
0.037129
0.075083
0.021452
0
0
0
0
0
0
0
0.004046
0.243753
1,961
65
93
30.169231
0.813216
0.046405
0
0
0
0
0.095469
0
0
0
0
0
0
1
0.106383
false
0.021277
0.191489
0.021277
0.446809
0.021277
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
776b5a586a307c515edd0602fb6ce773dfcc4ddd
5,969
py
Python
cloudify_aws/kms/tests/test_key.py
jrzeszutek/cloudify-aws-plugin
59832b4ac5ddad496110085ed2e21dd36db5e9df
[ "Apache-2.0" ]
13
2015-05-28T23:21:05.000Z
2022-03-20T05:38:20.000Z
cloudify_aws/kms/tests/test_key.py
jrzeszutek/cloudify-aws-plugin
59832b4ac5ddad496110085ed2e21dd36db5e9df
[ "Apache-2.0" ]
49
2015-01-04T16:05:34.000Z
2022-03-27T11:35:13.000Z
cloudify_aws/kms/tests/test_key.py
jrzeszutek/cloudify-aws-plugin
59832b4ac5ddad496110085ed2e21dd36db5e9df
[ "Apache-2.0" ]
41
2015-01-21T17:16:05.000Z
2022-03-31T06:47:48.000Z
# Copyright (c) 2018 Cloudify Platform Ltd. 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 ap...
28.42381
75
0.626906
669
5,969
5.273543
0.22571
0.045351
0.063492
0.063492
0.637188
0.573696
0.556406
0.540533
0.540533
0.496315
0
0.001847
0.27425
5,969
209
76
28.559809
0.812558
0.108393
0
0.367647
0
0
0.094268
0.011501
0
0
0
0
0.125
1
0.080882
false
0
0.036765
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
776c1f07ea108fe03cb9a7205323ee4e16411b3f
10,184
py
Python
terraref/laser3d/laser3d.py
terraref/ply2las
90c791c64e2d94effa7d155228bf306e2f3fa29c
[ "BSD-3-Clause" ]
1
2018-09-27T05:45:56.000Z
2018-09-27T05:45:56.000Z
terraref/laser3d/laser3d.py
terraref/laser3d
90c791c64e2d94effa7d155228bf306e2f3fa29c
[ "BSD-3-Clause" ]
3
2018-05-16T19:40:26.000Z
2018-12-14T20:02:53.000Z
terraref/laser3d/laser3d.py
terraref/ply2las
90c791c64e2d94effa7d155228bf306e2f3fa29c
[ "BSD-3-Clause" ]
1
2018-07-31T13:34:13.000Z
2018-07-31T13:34:13.000Z
import subprocess import numpy import os import laspy from osgeo import gdal from plyfile import PlyData, PlyElement import matplotlib.pyplot as plt #from rpy2.robjects import r, pandas2ri, numpy2ri from terrautils.formats import create_geotiff from terrautils.spatial import scanalyzer_to_mac def ply_to_array(inp, m...
34.174497
129
0.600255
1,463
10,184
3.993165
0.197539
0.008216
0.01027
0.018487
0.365457
0.304519
0.238959
0.219445
0.219445
0.212256
0
0.02728
0.276512
10,184
297
130
34.289562
0.765608
0.192655
0
0.164179
0
0.004975
0.147333
0.038667
0
0
0
0
0
1
0.054726
false
0
0.044776
0
0.149254
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
77724149191f0e80307f99dd8a0656415ea312e7
559
py
Python
conflictgateway/social/jobsupdate.py
sebastianlees/Conflict-Gateway
e875abb48ad4d51db90983a35a6c7bd47a54d5e9
[ "MIT" ]
null
null
null
conflictgateway/social/jobsupdate.py
sebastianlees/Conflict-Gateway
e875abb48ad4d51db90983a35a6c7bd47a54d5e9
[ "MIT" ]
null
null
null
conflictgateway/social/jobsupdate.py
sebastianlees/Conflict-Gateway
e875abb48ad4d51db90983a35a6c7bd47a54d5e9
[ "MIT" ]
null
null
null
#!/usr/bin/env python from twython import Twython import random APP_KEY = 'APP KEY' # Customer Key here APP_SECRET = 'APP SECRET' # Customer secret here OAUTH_TOKEN = 'OAUTH TOKEN' # Access Token here OAUTH_TOKEN_SECRET = 'OAUTH TOKEN SECRET' # Access Token Secret here jobsnumber = random.randint(50, 100) twitt...
39.928571
172
0.763864
77
559
5.402597
0.454545
0.144231
0.115385
0.096154
0
0
0
0
0
0
0
0.010352
0.135957
559
14
172
39.928571
0.850932
0.182469
0
0
0
0
0.359823
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
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
777390888167fc8811e643a135d220bdf95baecc
3,457
py
Python
experiment_utils/initialization_utils.py
HanGuo97/experiment-utils
ff1288d4ab89af90e5c8c486de4dd7673a99079b
[ "MIT" ]
null
null
null
experiment_utils/initialization_utils.py
HanGuo97/experiment-utils
ff1288d4ab89af90e5c8c486de4dd7673a99079b
[ "MIT" ]
null
null
null
experiment_utils/initialization_utils.py
HanGuo97/experiment-utils
ff1288d4ab89af90e5c8c486de4dd7673a99079b
[ "MIT" ]
null
null
null
import os import click from git import Repo from absl import logging from datetime import datetime from collections import namedtuple from typing import Tuple, Optional from . import wandb_utils logging.set_verbosity(logging.INFO) ExperimentConfig = namedtuple( "ExperimentConfig", ( "project_name", ...
29.29661
78
0.676598
413
3,457
5.445521
0.2954
0.058693
0.081814
0.032014
0.249
0.066696
0
0
0
0
0
0.000751
0.22939
3,457
117
79
29.547009
0.843468
0.087938
0
0.075
0
0
0.154508
0.045237
0
0
0
0
0
1
0.05
false
0
0.1
0.0125
0.2
0.025
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
7775682dcc6dc253e667940b371c684ba9d3f2b3
1,295
py
Python
Kiraro/Kiraro_Voice/Say.py
NotJakeR/Kiraro-Discord-Bot
de4f765eedd92cedcb7c61b0444e8f69e905f9e6
[ "Apache-2.0" ]
null
null
null
Kiraro/Kiraro_Voice/Say.py
NotJakeR/Kiraro-Discord-Bot
de4f765eedd92cedcb7c61b0444e8f69e905f9e6
[ "Apache-2.0" ]
null
null
null
Kiraro/Kiraro_Voice/Say.py
NotJakeR/Kiraro-Discord-Bot
de4f765eedd92cedcb7c61b0444e8f69e905f9e6
[ "Apache-2.0" ]
1
2021-01-25T19:06:17.000Z
2021-01-25T19:06:17.000Z
from Kiraro import bot from discord.ext import commands from discord.errors import * from discord.utils import get from Kiraro.Kiraro_Voice import idk, queue import discord import gtts queue_list = {} @bot.command() async def say(ctx, *, word): boolean, voice = await idk(ctx) if boolean: tts = gtts.gT...
33.205128
119
0.658687
167
1,295
5.035928
0.45509
0.042806
0.026159
0.03805
0
0
0
0
0
0
0
0
0.23166
1,295
39
120
33.205128
0.845226
0.037066
0
0
0
0
0.123496
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0.057143
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
7777e8520a12559d29d6241cbcb36e71e0940302
7,056
py
Python
simple_estimator.py
carlos9310/models
d5038337a42544b95d6bf97e40099ef140399b89
[ "Apache-2.0" ]
2
2020-09-14T02:15:17.000Z
2021-09-28T07:08:32.000Z
simple_estimator.py
carlos9310/models
d5038337a42544b95d6bf97e40099ef140399b89
[ "Apache-2.0" ]
null
null
null
simple_estimator.py
carlos9310/models
d5038337a42544b95d6bf97e40099ef140399b89
[ "Apache-2.0" ]
1
2022-01-04T06:55:54.000Z
2022-01-04T06:55:54.000Z
# -*- coding:utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function import sys import os import tensorflow as tf tf.logging.set_verbosity(tf.logging.INFO) ROOT_PATH = '/tmp/census_data' TRAIN_PATH = '/tmp/census_data/adult.data' EVAL_PATH =...
40.090909
118
0.639172
794
7,056
5.367758
0.338791
0.040122
0.06687
0.025809
0.266072
0.186298
0.163069
0.104176
0.017363
0
0
0.018438
0.24674
7,056
176
119
40.090909
0.783443
0.10771
0
0.016807
0
0
0.152771
0.025129
0
0
0
0
0
1
0.033613
false
0
0.05042
0
0.109244
0.02521
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
7778e854b1769ba9428d3a4d3170d1002d65dedd
2,385
py
Python
examples/run_multi_functions_parallel.py
rishavpramanik/mealpy
d4a4d5810f15837764e4ee61517350fef3dc92b3
[ "MIT" ]
null
null
null
examples/run_multi_functions_parallel.py
rishavpramanik/mealpy
d4a4d5810f15837764e4ee61517350fef3dc92b3
[ "MIT" ]
null
null
null
examples/run_multi_functions_parallel.py
rishavpramanik/mealpy
d4a4d5810f15837764e4ee61517350fef3dc92b3
[ "MIT" ]
null
null
null
#!/usr/bin/env python # Created by "Thieu" at 10:26, 02/03/2022 ----------% # Email: nguyenthieu2102@gmail.com % # Github: https://github.com/thieu1995 % ...
36.692308
137
0.6
301
2,385
4.468439
0.438538
0.052045
0.041636
0.02974
0.157621
0.047584
0.047584
0.047584
0.047584
0.047584
0
0.040243
0.239413
2,385
64
138
37.265625
0.701213
0.165199
0
0
0
0
0.178931
0.060484
0
0
0
0
0
1
0.021739
false
0
0.130435
0
0.173913
0.043478
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
77798b6704167fd268a08dbc9c3f502cb2811a76
9,876
py
Python
table_sorter.py
manawesome326/table-sorter
53c6b0cdcf6b70216e1bf0a69bdd6b193cf64604
[ "Unlicense" ]
null
null
null
table_sorter.py
manawesome326/table-sorter
53c6b0cdcf6b70216e1bf0a69bdd6b193cf64604
[ "Unlicense" ]
null
null
null
table_sorter.py
manawesome326/table-sorter
53c6b0cdcf6b70216e1bf0a69bdd6b193cf64604
[ "Unlicense" ]
null
null
null
import random import math import time import copy allstudents = [] class Student: def __init__(self,name,friends,robot=False): self.name = name self.__name__ = name self.robot = robot #self.friends = friends self.friends = friends self.currenttable = 0 allstudents.append(self) #########################...
37.984615
163
0.714662
1,594
9,876
4.297365
0.230238
0.044672
0.026277
0.022482
0.228759
0.197226
0.190511
0.159854
0.159854
0.159854
0
0.018907
0.175273
9,876
259
164
38.131274
0.822099
0.352471
0
0.319018
0
0.01227
0.11308
0
0
0
0
0
0
1
0.018405
false
0.006135
0.02454
0
0.055215
0.147239
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
777b5e5839004ea6dfd6b25eec2bff8b3f5e00ac
1,045
py
Python
unit_test/test_obj_avoidance.py
riven314/capstone_dash_interface
5eab25f4c15ad09aa889554820231175b0a3ed28
[ "CC0-1.0" ]
1
2019-12-10T14:59:12.000Z
2019-12-10T14:59:12.000Z
unit_test/test_obj_avoidance.py
riven314/capstone_dash_interface
5eab25f4c15ad09aa889554820231175b0a3ed28
[ "CC0-1.0" ]
null
null
null
unit_test/test_obj_avoidance.py
riven314/capstone_dash_interface
5eab25f4c15ad09aa889554820231175b0a3ed28
[ "CC0-1.0" ]
1
2020-01-01T12:24:51.000Z
2020-01-01T12:24:51.000Z
import os import sys import time PATH = os.path.join(os.getcwd(), '..') sys.path.append(PATH) import cv2 import numpy as np import matplotlib.pyplot as plt from obj_avoidance import run_avoidance # for the reference label_dict = {1: 'wall', 2: 'floor', 3: 'plant', 4: 'ceiling', 5: 'furniture', 6: 'person'...
30.735294
117
0.683254
168
1,045
4.017857
0.440476
0.02963
0.044444
0.062222
0.16
0.16
0.127407
0.127407
0.127407
0.127407
0
0.028441
0.158852
1,045
33
118
31.666667
0.739477
0.029665
0
0.08
0
0
0.154555
0.056295
0
0
0
0
0
1
0
false
0
0.28
0
0.28
0.08
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
777d83516dc3cad54a0ce07bf96a195097e68974
1,519
py
Python
demoapp/cabinet_structure/settings.py
pythoninner/myfistpython
c1f52d8a3a284a89c0f1e33615067e8845aa1617
[ "MIT" ]
17
2015-12-10T02:09:07.000Z
2018-06-25T06:46:59.000Z
demoapp/cabinet_structure/settings.py
pythoninner/myfistpython
c1f52d8a3a284a89c0f1e33615067e8845aa1617
[ "MIT" ]
6
2015-12-09T08:09:52.000Z
2016-01-11T06:53:10.000Z
demoapp/cabinet_structure/settings.py
pythoninner/myfistpython
c1f52d8a3a284a89c0f1e33615067e8845aa1617
[ "MIT" ]
9
2015-12-10T09:04:00.000Z
2019-07-12T13:33:25.000Z
import logging from django.conf import settings logger = logging.getLogger(__name__) class VerifySettings(object): __settings_name__ = 'MAX_CABINET_ROWS_NUM' __error_msg_dict__ = {'no_attribute': ("MAX_CABINET_ROWS_NUM must be specified in " "your Django settings ...
33.755556
92
0.631995
175
1,519
4.942857
0.308571
0.115607
0.090173
0.078613
0.236994
0.150289
0.150289
0
0
0
0
0.000935
0.296248
1,519
44
93
34.522727
0.808232
0
0
0
0
0
0.147465
0
0
0
0
0
0
1
0.151515
false
0
0.060606
0.030303
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
777dd8bf196474b662d087b28f11dea01ef85e30
756
py
Python
l_04_list_and_dictionaries/dictionaries/ex_08_filter_base.py
VasAtanasov/SoftUni-Python-Fundamentals
471d0537dd6e5c8b61ede92b7673c0d67e2964fd
[ "MIT" ]
1
2019-06-05T11:16:08.000Z
2019-06-05T11:16:08.000Z
l_04_list_and_dictionaries/dictionaries/ex_08_filter_base.py
VasAtanasov/SoftUni-Python-Fundamentals
471d0537dd6e5c8b61ede92b7673c0d67e2964fd
[ "MIT" ]
null
null
null
l_04_list_and_dictionaries/dictionaries/ex_08_filter_base.py
VasAtanasov/SoftUni-Python-Fundamentals
471d0537dd6e5c8b61ede92b7673c0d67e2964fd
[ "MIT" ]
null
null
null
def check_type(text): try: if float(text) == int(float(text)): return {'Age': int(float(text))} elif float(text) != int(float(text)): return {'Salary': float(text)} except ValueError: return {'Position': text} employees_data = [] while True: in_line = input...
23.625
82
0.589947
95
756
4.6
0.442105
0.12357
0.08238
0.077803
0.12357
0.12357
0
0
0
0
0
0.003515
0.247355
756
31
83
24.387097
0.764499
0
0
0
0
0
0.119048
0.041005
0
0
0
0
0
1
0.043478
false
0
0
0
0.173913
0.043478
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
777ef7869d9e99660684cbd42f3a06660212884f
905
py
Python
install_release.py
NunoEdgarGFlowHub/poptorch
2e69b81c7c94b522d9f57cc53d31be562f5e3749
[ "MIT" ]
null
null
null
install_release.py
NunoEdgarGFlowHub/poptorch
2e69b81c7c94b522d9f57cc53d31be562f5e3749
[ "MIT" ]
null
null
null
install_release.py
NunoEdgarGFlowHub/poptorch
2e69b81c7c94b522d9f57cc53d31be562f5e3749
[ "MIT" ]
null
null
null
# Copyright (c) 2018 Graphcore Ltd. All rights reserved. # This script is run by the release agent to create a release of PopTorch def install_release(release_utils, release_id, snapshot_id, version_str): # Tag must contain the string 'poptorch' to keep it unique. tag = "{}-poptorch".format(version_str) ...
34.807692
73
0.707182
115
905
5.4
0.486957
0.096618
0.061192
0.093398
0.132045
0.132045
0
0
0
0
0
0.00554
0.20221
905
25
74
36.2
0.854571
0.337017
0
0.153846
0
0
0.306914
0.246206
0
0
0
0
0
1
0.076923
false
0
0
0
0.076923
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
778181d3874c190067f24ee03aa82a2d0d031e77
1,667
py
Python
ciscosparkapi/tests/conftest.py
Futuramistic/Bot
e22672e9d627faf3d9393feb04d214cb62dec98d
[ "MIT" ]
null
null
null
ciscosparkapi/tests/conftest.py
Futuramistic/Bot
e22672e9d627faf3d9393feb04d214cb62dec98d
[ "MIT" ]
1
2021-06-01T21:52:12.000Z
2021-06-01T21:52:12.000Z
ciscosparkapi/tests/conftest.py
Futuramistic/Bot
e22672e9d627faf3d9393feb04d214cb62dec98d
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """pytest configuration and top-level fixtures.""" __author__ = "Chris Lunsford" __author_email__ = "chrlunsf@cisco.com" __copyright__ = "Copyright (c) 2016-2018 Cisco and/or its affiliates." __license__ = "MIT" import os import string import tempfile import pytest from tes...
21.101266
80
0.675465
200
1,667
5.32
0.455
0.075188
0.112782
0.043233
0
0
0
0
0
0
0
0.011442
0.213557
1,667
78
81
21.371795
0.800153
0.059988
0
0.042553
0
0
0.305199
0.133693
0
0
0
0
0
1
0.106383
false
0
0.106383
0.021277
0.255319
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
77842d9f499b49e55088705f1121160416001ae6
1,550
py
Python
nalu.py
chauhanjatin10/NeuralArithmeticLogicUnits
c8a71e4bb99b7f5bdb5c1b85a75376b0322d6853
[ "MIT" ]
null
null
null
nalu.py
chauhanjatin10/NeuralArithmeticLogicUnits
c8a71e4bb99b7f5bdb5c1b85a75376b0322d6853
[ "MIT" ]
null
null
null
nalu.py
chauhanjatin10/NeuralArithmeticLogicUnits
c8a71e4bb99b7f5bdb5c1b85a75376b0322d6853
[ "MIT" ]
null
null
null
import math import torch import torch.nn as nn import torch.nn.functional as Func import torch.nn.init as init from nac import NeuralAccumulatorCell from torch.nn.parameter import Parameter class NeuralArithmeticLogicCell(nn.Module): def __init__(self, in_dim, out_dim): super().__init__() self.in_dim = in_dim ...
28.703704
63
0.740645
257
1,550
4.214008
0.252918
0.050785
0.041551
0.055402
0.237304
0.202216
0.165282
0.165282
0.132964
0.062789
0
0.004508
0.14129
1,550
53
64
29.245283
0.809166
0
0
0.186047
0
0
0.002581
0
0
0
0
0
0
1
0.093023
false
0
0.162791
0.023256
0.348837
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
778cfa1ba927b0196782d749a97b1b4c8af54073
5,170
py
Python
src/vivarium/examples/disease_model/population.py
ihmeuw/vivarium
77393d2e84ff2351c926f65b33272b7225cf9628
[ "BSD-3-Clause" ]
41
2017-07-14T03:39:06.000Z
2022-03-20T05:36:33.000Z
src/vivarium/examples/disease_model/population.py
ihmeuw/vivarium
77393d2e84ff2351c926f65b33272b7225cf9628
[ "BSD-3-Clause" ]
26
2017-08-08T22:13:44.000Z
2021-08-18T00:14:54.000Z
src/vivarium/examples/disease_model/population.py
ihmeuw/vivarium
77393d2e84ff2351c926f65b33272b7225cf9628
[ "BSD-3-Clause" ]
8
2017-08-03T17:15:39.000Z
2021-09-30T21:57:50.000Z
import pandas as pd from vivarium.framework.engine import Builder from vivarium.framework.population import SimulantData from vivarium.framework.event import Event class BasePopulation: """Generates a base population with a uniform distribution of age and sex. Attributes ---------- configuration_def...
39.769231
111
0.623985
580
5,170
5.408621
0.293103
0.024546
0.022952
0.025502
0.161938
0.068856
0.030602
0.030602
0.030602
0.030602
0
0.002727
0.290716
5,170
129
112
40.077519
0.852741
0.339458
0
0.071429
0
0
0.102041
0
0
0
0
0
0
1
0.071429
false
0
0.071429
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
778df52cd98d358aeeaa3cd2f864bdb6647f52ff
5,390
py
Python
python3/ssm/requester.py
renardbebe/ssm-rotation-sdk-python
cffe573f5462d0b93be9b5fb110970ade98f1642
[ "Apache-2.0" ]
null
null
null
python3/ssm/requester.py
renardbebe/ssm-rotation-sdk-python
cffe573f5462d0b93be9b5fb110970ade98f1642
[ "Apache-2.0" ]
null
null
null
python3/ssm/requester.py
renardbebe/ssm-rotation-sdk-python
cffe573f5462d0b93be9b5fb110970ade98f1642
[ "Apache-2.0" ]
1
2021-07-21T02:46:58.000Z
2021-07-21T02:46:58.000Z
import logging from threading import Timer from tencentcloud.ssm.v20190923 import models, ssm_client from tencentcloud.common.profile import client_profile from tencentcloud.common import credential from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException class Error: """自定义错...
29.779006
101
0.625974
663
5,390
4.897436
0.209653
0.027718
0.022174
0.029566
0.310748
0.276255
0.23283
0.18725
0.18725
0.160148
0
0.003064
0.273469
5,390
180
102
29.944444
0.826098
0.227087
0
0.181818
0
0
0.099741
0
0
0
0
0
0
1
0.090909
false
0.045455
0.068182
0
0.284091
0.034091
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
778e86e22df74cae729a35ebbd9cf3422b98571c
5,159
py
Python
bdd100k/eval/lane_test.py
siyliepfl/bdd100k
f38e9b5cd4e21f7a47822734ffa4d397f64bf04a
[ "BSD-3-Clause" ]
null
null
null
bdd100k/eval/lane_test.py
siyliepfl/bdd100k
f38e9b5cd4e21f7a47822734ffa4d397f64bf04a
[ "BSD-3-Clause" ]
null
null
null
bdd100k/eval/lane_test.py
siyliepfl/bdd100k
f38e9b5cd4e21f7a47822734ffa4d397f64bf04a
[ "BSD-3-Clause" ]
null
null
null
"""Test cases for lane.py.""" import os import unittest from typing import Dict import numpy as np from .lane import ( eval_lane_per_threshold, evaluate_lane_marking, get_foreground, get_lane_class, sub_task_funcs, ) class TestGetLaneClass(unittest.TestCase): """Test cases for the lane speci...
39.381679
78
0.611165
705
5,159
4.221277
0.212766
0.012769
0.040659
0.073925
0.480175
0.43918
0.319556
0.289987
0.266465
0.218078
0
0.137976
0.262454
5,159
130
79
39.684615
0.644152
0.087226
0
0.128713
0
0
0.159768
0.111945
0
0
0
0
0.178218
1
0.049505
false
0
0.049505
0
0.128713
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
778eae6f766166711785d06fe1c129980226b180
6,178
py
Python
draw.py
squeezeday/raspberry-pi-e-ink-display
97a16f7bd58ba6d6c800864c945a961870e823ed
[ "MIT" ]
5
2019-09-10T09:57:59.000Z
2021-08-17T18:10:21.000Z
draw.py
squeezeday/raspberry-pi-e-ink-display
97a16f7bd58ba6d6c800864c945a961870e823ed
[ "MIT" ]
5
2021-03-19T03:32:34.000Z
2022-03-11T23:58:49.000Z
draw.py
squeezeday/raspberry-pi-e-ink-display
97a16f7bd58ba6d6c800864c945a961870e823ed
[ "MIT" ]
null
null
null
from PIL import Image, ImageDraw, ImageFont from urllib.request import Request, urlopen from urllib.parse import quote, unquote import json import pytz import os from calendarhelper import getCaldavEvents, calendarEvent from datetime import datetime, date, timedelta, tzinfo, timezone from tzlocal import get_localzone f...
37.442424
148
0.683555
846
6,178
4.833333
0.288416
0.037417
0.04133
0.023967
0.340915
0.186843
0.154561
0.097334
0.047444
0.030325
0
0.03505
0.164131
6,178
164
149
37.670732
0.75639
0.058271
0
0.065574
0
0
0.175659
0.051198
0
0
0
0.006098
0
1
0.016393
false
0
0.090164
0
0.131148
0.008197
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
77918e9deea502e2876228cdb462978e97466087
2,570
py
Python
bingads/v13/bulk/entities/audiences/bulk_remarketing_list.py
pawelulita/BingAds-Python-SDK
e7b5a618e87a43d0a5e2c79d9aa4626e208797bd
[ "MIT" ]
86
2016-02-29T03:24:28.000Z
2022-03-29T09:30:21.000Z
bingads/v13/bulk/entities/audiences/bulk_remarketing_list.py
pawelulita/BingAds-Python-SDK
e7b5a618e87a43d0a5e2c79d9aa4626e208797bd
[ "MIT" ]
135
2016-04-12T13:31:28.000Z
2022-03-29T02:18:51.000Z
bingads/v13/bulk/entities/audiences/bulk_remarketing_list.py
pawelulita/BingAds-Python-SDK
e7b5a618e87a43d0a5e2c79d9aa4626e208797bd
[ "MIT" ]
154
2016-04-08T04:11:27.000Z
2022-03-29T21:21:07.000Z
from bingads.v13.bulk.entities import * from bingads.service_client import _CAMPAIGN_OBJECT_FACTORY_V13 from bingads.v13.internal.bulk.entities.single_record_bulk_entity import _SingleRecordBulkEntity from bingads.v13.internal.bulk.mappings import _SimpleBulkMapping from bingads.v13.internal.bulk.string_table import _S...
39.538462
106
0.731518
303
2,570
5.881188
0.326733
0.159933
0.039282
0.049383
0.220539
0.056117
0
0
0
0
0
0.009602
0.189494
2,570
64
107
40.15625
0.845895
0.180934
0
0.105263
0
0
0.017535
0
0
0
0
0
0
1
0.131579
false
0
0.184211
0
0.394737
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
77936e8ca10f6e684602ec0fcab350ddfe22ac60
24,154
py
Python
src/daft_exprt/extract_features.py
ishine/ubisoft-laforge-daft-exprt
a576691c8c42988f813183efcea43c1677abe17a
[ "Apache-2.0" ]
33
2021-09-17T18:32:23.000Z
2022-03-01T21:05:08.000Z
src/daft_exprt/extract_features.py
ishine/ubisoft-laforge-daft-exprt
a576691c8c42988f813183efcea43c1677abe17a
[ "Apache-2.0" ]
5
2021-12-07T04:23:04.000Z
2022-03-15T07:37:13.000Z
src/daft_exprt/extract_features.py
ishine/ubisoft-laforge-daft-exprt
a576691c8c42988f813183efcea43c1677abe17a
[ "Apache-2.0" ]
7
2021-09-16T02:24:02.000Z
2022-01-11T07:48:19.000Z
import json import logging import logging.handlers import os import re import subprocess import types import uuid import librosa import numpy as np import torch from shutil import rmtree from librosa.filters import mel as librosa_mel_fn from scipy.io import wavfile from daft_exprt.symbols import ascii, eos, punctua...
43.599278
139
0.620187
3,283
24,154
4.379836
0.140725
0.015578
0.013214
0.008346
0.28479
0.229432
0.210029
0.17915
0.139161
0.103832
0
0.012451
0.265132
24,154
553
140
43.678119
0.797634
0.230811
0
0.155689
0
0.002994
0.12365
0.022482
0
0
0
0
0.035928
1
0.038922
false
0.002994
0.047904
0
0.125749
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
7794c9a15b5585aa2606eff1839893cdafad353f
4,076
py
Python
python/cuspatial/cuspatial/geometry/geoseries.py
AyodeAwe/cuspatial
77971ac91a24228bc46cf461c0ac7b6f2ed78e44
[ "Apache-2.0" ]
347
2019-08-29T12:39:02.000Z
2022-03-28T14:55:34.000Z
python/cuspatial/cuspatial/geometry/geoseries.py
AyodeAwe/cuspatial
77971ac91a24228bc46cf461c0ac7b6f2ed78e44
[ "Apache-2.0" ]
425
2019-08-24T23:27:46.000Z
2022-03-31T20:07:18.000Z
python/cuspatial/cuspatial/geometry/geoseries.py
AyodeAwe/cuspatial
77971ac91a24228bc46cf461c0ac7b6f2ed78e44
[ "Apache-2.0" ]
109
2019-08-14T22:49:56.000Z
2022-02-24T19:54:42.000Z
# Copyright (c) 2020-2021, NVIDIA CORPORATION from typing import TypeVar, Union import geopandas as gpd import pandas as pd from geopandas.geoseries import GeoSeries as gpGeoSeries import cudf from cuspatial.geometry.geoarrowbuffers import GeoArrowBuffers from cuspatial.geometry.geocolumn import GeoColumn, GeoMeta ...
31.114504
79
0.629539
449
4,076
5.587973
0.35412
0.0279
0.020725
0.047828
0.092467
0.078119
0.078119
0
0
0
0
0.00585
0.287046
4,076
130
80
31.353846
0.857536
0.300294
0
0.101449
0
0
0.038861
0
0
0
0
0.007692
0
1
0.144928
false
0.014493
0.115942
0.014493
0.391304
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
77a214f5777df7a0c6f55cff48bff29b3f5f4ff6
1,961
py
Python
capture/command_scripts/stream_handler.py
CenturyLink/ExpertDHCP
4dbcd36da7468b9a95a7869df19172fe890cefd2
[ "MIT" ]
1
2022-03-08T00:38:33.000Z
2022-03-08T00:38:33.000Z
capture/command_scripts/stream_handler.py
aaronlumen/ExpertDHCP
4dbcd36da7468b9a95a7869df19172fe890cefd2
[ "MIT" ]
null
null
null
capture/command_scripts/stream_handler.py
aaronlumen/ExpertDHCP
4dbcd36da7468b9a95a7869df19172fe890cefd2
[ "MIT" ]
2
2022-02-11T17:13:48.000Z
2022-03-08T00:36:03.000Z
import subprocess import shlex import re import json class StreamHandler(object): """ A singleton class to handle the stream of dump and return stdout in generator fashion """ __instance = None def __init__(self, dhcp_dump_command="sudo {} -i {}", dum...
36.314815
92
0.562978
225
1,961
4.657778
0.422222
0.061069
0.071565
0.072519
0.123092
0.123092
0
0
0
0
0
0.007015
0.345742
1,961
53
93
37
0.809821
0.074452
0
0.05
0
0
0.128707
0.012311
0
0
0
0
0
1
0.05
false
0
0.125
0
0.225
0.25
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
77a4ff6d26d09b8ed1fd64033110e651fd78bc73
16,460
py
Python
sudoku_solve2.py
alfille/sudoku_count
871794378c866f024acfc495d20f45478f3a0b99
[ "MIT" ]
null
null
null
sudoku_solve2.py
alfille/sudoku_count
871794378c866f024acfc495d20f45478f3a0b99
[ "MIT" ]
null
null
null
sudoku_solve2.py
alfille/sudoku_count
871794378c866f024acfc495d20f45478f3a0b99
[ "MIT" ]
null
null
null
import sys import tkinter as tk import tkinter.font as tkfont import tkinter.filedialog as tkfile import tkinter.messagebox as tkmessage import argparse import ctypes import platform import signal def signal_handler(signal, frame): print("\nForced end\n") sys.exit(0) class Persist(tk.Frame): SUBSIZE = 3 X =...
30.881801
207
0.646355
2,634
16,460
3.998481
0.129841
0.010444
0.025826
0.029054
0.50883
0.43496
0.396316
0.352165
0.321401
0.312856
0
0.011716
0.18068
16,460
532
208
30.93985
0.769242
0.036817
0
0.372685
0
0
0.064223
0.002781
0
0
0
0
0
1
0.074074
false
0
0.020833
0
0.143519
0.00463
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
77a51fcecb6daeb1528498330dad731bde24172c
1,549
py
Python
Text_to_speech_GAN/waveFiles.py
scotty110/ANN-code
05ae6094dfe98c1c9fd0feb87ffb0c0c5206502a
[ "MIT" ]
null
null
null
Text_to_speech_GAN/waveFiles.py
scotty110/ANN-code
05ae6094dfe98c1c9fd0feb87ffb0c0c5206502a
[ "MIT" ]
null
null
null
Text_to_speech_GAN/waveFiles.py
scotty110/ANN-code
05ae6094dfe98c1c9fd0feb87ffb0c0c5206502a
[ "MIT" ]
null
null
null
import scipy.io.wavfile as siow import scipy.signal as ssr import matplotlib.pyplot as plt import numpy as np import math def groupNumpy(to_group_array, interval, debug=True): ''' Breaks numpy array into an array of arrays. Where each array is <interval> long. Inputs: to_group_array - array we wish to brea...
28.163636
120
0.712718
247
1,549
4.37247
0.489879
0.032407
0.055556
0.037037
0.07037
0.038889
0
0
0
0
0
0.033742
0.158167
1,549
55
121
28.163636
0.794479
0.297611
0
0
0
0
0.067295
0
0
0
0
0
0
1
0.05
false
0
0.25
0
0.35
0.2
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
77a746913532d4c25ca26f69e46343bc6271ae0e
790
py
Python
Tools/Individual Tools/Big Build Calculator.py
TheUncannyScrub/PythonMinecraftTools
1ff5cf53f195cff41c33dc39a461ee94c6edf510
[ "MIT" ]
null
null
null
Tools/Individual Tools/Big Build Calculator.py
TheUncannyScrub/PythonMinecraftTools
1ff5cf53f195cff41c33dc39a461ee94c6edf510
[ "MIT" ]
null
null
null
Tools/Individual Tools/Big Build Calculator.py
TheUncannyScrub/PythonMinecraftTools
1ff5cf53f195cff41c33dc39a461ee94c6edf510
[ "MIT" ]
null
null
null
import os import sys import random import math from time import * import decimal print('Minecraft Resource Calculator') print('Enter the individual items and the calculator will') print('tell you how many chest or stacks it is!') print('*Only works for items that stack up to 64*') sleep(1) while True: ...
25.483871
60
0.616456
105
790
4.638095
0.590476
0.061602
0.045175
0
0
0
0
0
0
0
0
0.029463
0.26962
790
31
61
25.483871
0.814558
0
0
0
0
0
0.362681
0
0
0
0
0
0
1
0
false
0
0.230769
0
0.230769
0.346154
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
77ac836929fce76c6241d61d0546b8b5bdacebd5
10,283
py
Python
data/GoogleTrans/preprocess.py
wasiahmad/GATE
1e48504a3641f00265a271a19eb6b6449fdc33bd
[ "MIT" ]
24
2020-12-07T10:22:40.000Z
2022-03-31T09:24:13.000Z
data/GoogleTrans/preprocess.py
wasiahmad/GATE
1e48504a3641f00265a271a19eb6b6449fdc33bd
[ "MIT" ]
15
2021-03-22T04:52:57.000Z
2022-01-01T18:32:31.000Z
data/GoogleTrans/preprocess.py
wasiahmad/GATE
1e48504a3641f00265a271a19eb6b6449fdc33bd
[ "MIT" ]
8
2021-03-04T05:09:42.000Z
2022-01-25T12:59:19.000Z
import json import os from udpipe import Model from conllu import parse from collections import OrderedDict model_map = { 'en': 'udpipe/english-ewt-ud-2.5-191206.udpipe', 'zh': 'udpipe/chinese-gsd-ud-2.5-191206.udpipe', 'ar': 'udpipe/arabic-padt-ud-2.5-191206.udpipe' } def find_span(offsets, begin_offset...
36.207746
99
0.550812
1,254
10,283
4.263955
0.135566
0.044885
0.026931
0.020572
0.43127
0.372732
0.312138
0.275856
0.266879
0.266879
0
0.010541
0.31732
10,283
283
100
36.335689
0.75114
0.030341
0
0.242553
0
0
0.166014
0.065984
0
0
0
0
0.025532
1
0.025532
false
0
0.021277
0
0.068085
0.042553
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
77ae2c52823c3ed666b8da7d385a9528b00e5196
4,034
py
Python
bricklayer/util/parallel_fetch.py
loganwang007/bricklayer
531dd4acaf20574a9d2f7f0adf68789888288157
[ "Apache-2.0" ]
null
null
null
bricklayer/util/parallel_fetch.py
loganwang007/bricklayer
531dd4acaf20574a9d2f7f0adf68789888288157
[ "Apache-2.0" ]
null
null
null
bricklayer/util/parallel_fetch.py
loganwang007/bricklayer
531dd4acaf20574a9d2f7f0adf68789888288157
[ "Apache-2.0" ]
null
null
null
""" Module to distribute the S3 download over a spark cluster Useful when the data is highly partitioned and unable to be loaded by standard methods Results end up in a table Usage: ``` from parallel_fetch import DbricksParallelFetch # define the aws_bucket and output_dir for the s3_fetch to...
42.020833
112
0.595439
458
4,034
5.09607
0.368996
0.034704
0.01671
0.021851
0.021422
0
0
0
0
0
0
0.007845
0.336391
4,034
95
113
42.463158
0.864027
0.341101
0
0
0
0
0.050982
0
0
0
0
0
0
1
0.085106
false
0
0.170213
0
0.361702
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
77af594f90cdfff28c32483019a29f1ca17a171f
621
py
Python
algorithms/mergesort.py
MatheusRV/Analysis-of-Algorithms-Course
4c1f4ccb8349b894653128be7e38d3045b0f5c13
[ "MIT" ]
null
null
null
algorithms/mergesort.py
MatheusRV/Analysis-of-Algorithms-Course
4c1f4ccb8349b894653128be7e38d3045b0f5c13
[ "MIT" ]
null
null
null
algorithms/mergesort.py
MatheusRV/Analysis-of-Algorithms-Course
4c1f4ccb8349b894653128be7e38d3045b0f5c13
[ "MIT" ]
null
null
null
def merge(left, right): """Merge sort merging function.""" merged_array=[] while left or right: if not left: merged_array.append(right.pop()) elif (not right) or left[-1] > right[-1]: merged_array.append(left.pop()) else: merged_array.append(right.pop()) merged_array.reverse() return merged_array d...
25.875
51
0.690821
91
621
4.615385
0.340659
0.128571
0.121429
0.104762
0.22381
0
0
0
0
0
0
0.007797
0.173913
621
23
52
27
0.810916
0.199678
0
0.210526
0
0
0
0
0
0
0
0
0
1
0.105263
false
0
0
0
0.263158
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
77b62d71a2e2a81d7bb14aa77dd472363e132b1c
593
py
Python
deploy/env_var.py
john850512/TranslatedPudding
64e5f2b5fe389c598daa15ff78dbc5ede3e0799e
[ "MIT" ]
3
2019-05-20T06:36:14.000Z
2020-05-15T03:58:16.000Z
deploy/env_var.py
john850512/TranslatedPudding
64e5f2b5fe389c598daa15ff78dbc5ede3e0799e
[ "MIT" ]
null
null
null
deploy/env_var.py
john850512/TranslatedPudding
64e5f2b5fe389c598daa15ff78dbc5ede3e0799e
[ "MIT" ]
null
null
null
CHANNEL_ACCESS_TOKEN = r'YOUR CHANNEL ACCESS TOKEN' CHANNEL_SECRET = r'YOUR CHANNEL SECRET' STR_CURRENT_STATUS_RESPOND = ("目前狀態:【{current_status}】\n" + "1.輸入『吃下翻譯布丁』開啟功能\n" + "2.輸入『布丁消化完了』關閉功能" ) STR_CURRENT_STATUS = r'翻譯布丁' STR_A...
45.615385
59
0.686341
80
593
4.8
0.425
0.104167
0.114583
0.098958
0
0
0
0
0
0
0
0.00431
0.217538
593
13
60
45.615385
0.814655
0
0
0
0
0
0.319865
0.117845
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
77b773bb110aacc218f4ca773acae2c751ddf7a7
691
py
Python
src/duet/sv_calling.py
yekaizhou/duet
ab49323992d3a5f6c21a10bd7114525a31fb0b8b
[ "BSD-3-Clause" ]
7
2021-08-12T08:26:18.000Z
2022-02-23T18:13:53.000Z
src/duet/sv_calling.py
yekaizhou/duet
ab49323992d3a5f6c21a10bd7114525a31fb0b8b
[ "BSD-3-Clause" ]
null
null
null
src/duet/sv_calling.py
yekaizhou/duet
ab49323992d3a5f6c21a10bd7114525a31fb0b8b
[ "BSD-3-Clause" ]
null
null
null
# coding=utf-8 import logging import os import time def sv_calling(home, ref_path, aln_path, cls_thres, svlen_thres): lines = '*************************' logging.info(lines + ' SV CALLING STARTED ' + lines) starttime = time.time() sv_calling_home = home + '/sv_calling/' os.system('mkdir ' + sv_cal...
43.1875
112
0.615051
90
691
4.466667
0.466667
0.156716
0.129353
0.089552
0.124378
0
0
0
0
0
0
0.007353
0.212735
691
16
113
43.1875
0.731618
0.017366
0
0
0
0
0.287611
0.069322
0
0
0
0
0
1
0.076923
false
0
0.230769
0
0.307692
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
77b834ef3b47095a3ef4e2276e9ea11ba4bc2b31
622
py
Python
python/08/a4988.py
matsujirushi/raspi_parts_kouryaku
35cd6f34d21c5e3160636671175fa8d5aff2d4dc
[ "Apache-2.0" ]
6
2022-03-05T02:36:57.000Z
2022-03-12T12:31:27.000Z
python/08/a4988.py
matsujirushi/raspi_parts_kouryaku
35cd6f34d21c5e3160636671175fa8d5aff2d4dc
[ "Apache-2.0" ]
null
null
null
python/08/a4988.py
matsujirushi/raspi_parts_kouryaku
35cd6f34d21c5e3160636671175fa8d5aff2d4dc
[ "Apache-2.0" ]
null
null
null
import pigpio import time ROTATION = 2 STEP_PER_ROTATE = 200 MICROSTEP = 16 ENABLE = 10 MS1 = 9 MS2 = 11 MS3 = 5 RESET = 6 SLEEP = 13 STEP = 19 DIR = 26 WAIT = 0.005 pi = pigpio.pi() for pin in [ENABLE, MS1, MS2, MS3, RESET, SLEEP, STEP, DIR]: pi.set_mode(pin, pigpio.OUTPUT) pi.write(RESET, 0) pi.write(SLEEP...
14.136364
60
0.651125
116
622
3.448276
0.353448
0.1925
0.08
0.06
0
0
0
0
0
0
0
0.098394
0.199357
622
43
61
14.465116
0.704819
0
0
0.125
0
0
0
0
0
0
0
0
0
1
0
false
0
0.0625
0
0.0625
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
77b8deb8a471712792ddcd411f464a17a0cb2bf4
1,917
py
Python
tools/c7n_gcp/c7n_gcp/resources/dataflow.py
vkubyshko/cloud-custodian
e5e3a0f8b5c85adcbec212d780b453047fb6f4d1
[ "Apache-2.0" ]
2,415
2018-12-04T00:37:58.000Z
2022-03-31T12:28:56.000Z
tools/c7n_gcp/c7n_gcp/resources/dataflow.py
vkubyshko/cloud-custodian
e5e3a0f8b5c85adcbec212d780b453047fb6f4d1
[ "Apache-2.0" ]
3,272
2018-12-03T23:58:17.000Z
2022-03-31T21:15:32.000Z
tools/c7n_gcp/c7n_gcp/resources/dataflow.py
staxio/cloud-custodian
24ed5d8f09bc37ff76184aae97a1ef577a69a41b
[ "Apache-2.0" ]
773
2018-12-06T09:43:23.000Z
2022-03-30T20:44:43.000Z
# Copyright The Cloud Custodian Authors. # SPDX-License-Identifier: Apache-2.0 import jmespath from googleapiclient.errors import HttpError from c7n_gcp.provider import resources from c7n_gcp.query import QueryResourceManager, TypeInfo @resources.register('dataflow-job') class DataflowJob(QueryResourceManager): ...
32.491525
93
0.571205
186
1,917
5.77957
0.510753
0.04093
0.018605
0
0
0
0
0
0
0
0
0.006818
0.311424
1,917
58
94
33.051724
0.807576
0.087115
0
0
0
0
0.15261
0.030407
0
0
0
0
0
1
0.065217
false
0
0.086957
0.021739
0.26087
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
77b987eaf14f75d36f539722f833433781e4d25e
12,777
py
Python
evolution/robot.py
gpatsiaouras/Robot-Simulator
4676bb342ca2a1ebcabfb4834f42da61610bacdf
[ "MIT" ]
null
null
null
evolution/robot.py
gpatsiaouras/Robot-Simulator
4676bb342ca2a1ebcabfb4834f42da61610bacdf
[ "MIT" ]
1
2022-03-12T00:58:01.000Z
2022-03-12T00:58:01.000Z
evolution/robot.py
gpatsiaouras/Robot-Simulator
4676bb342ca2a1ebcabfb4834f42da61610bacdf
[ "MIT" ]
null
null
null
import numpy as np from math import hypot as hyp class Robot: def __init__(self, diameter, initial_theta, initial_position): # Robot specifications self.diameter = diameter self.radius = int(diameter / 2) self.position = initial_position # Rotation is in rads self....
46.126354
122
0.591688
1,652
12,777
4.340194
0.110169
0.068898
0.055649
0.052162
0.590516
0.518271
0.461506
0.422873
0.36848
0.295676
0
0.04381
0.301479
12,777
276
123
46.293478
0.759552
0.089614
0
0.243523
0
0
0
0
0
0
0
0
0
1
0.088083
false
0
0.010363
0
0.134715
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
77b9b6901e4cb4106030a4e8cd51ce978af0e6bd
2,613
py
Python
backblaze/tests/blocking/test_file.py
WardPearce/aiob2
3dcff9c3aa7612ce7b43375fca379c1358121a4a
[ "MIT" ]
null
null
null
backblaze/tests/blocking/test_file.py
WardPearce/aiob2
3dcff9c3aa7612ce7b43375fca379c1358121a4a
[ "MIT" ]
null
null
null
backblaze/tests/blocking/test_file.py
WardPearce/aiob2
3dcff9c3aa7612ce7b43375fca379c1358121a4a
[ "MIT" ]
1
2019-07-16T03:38:49.000Z
2019-07-16T03:38:49.000Z
import unittest from uuid import uuid4 from os import path from .client import CLIENT from ...settings import ( BucketSettings, UploadSettings, PartSettings, CopyFileSettings ) from ...models.file import FileModel, PartModel from ...bucket.blocking import BlockingFile class TestBlockingFile(unitt...
22.921053
58
0.565251
268
2,613
5.335821
0.246269
0.05035
0.027273
0.035664
0.377622
0.377622
0.377622
0.233566
0.167832
0.167832
0
0.005708
0.329506
2,613
113
59
23.123894
0.810502
0
0
0.37037
0
0
0.057405
0
0
0
0
0
0.074074
1
0.012346
false
0
0.08642
0
0.111111
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
77bb0202fbcb60692c326fef16e93e7f15657559
616
py
Python
tests/test_dataset.py
kilsenp/triplet-reid-pytorch
0cd2c2ac638d22745483b3d12ccb5c160f0bf3c3
[ "MIT" ]
41
2018-06-21T09:36:23.000Z
2021-05-07T22:06:25.000Z
tests/test_dataset.py
kilsen512/triplet-reid-pytorch
0cd2c2ac638d22745483b3d12ccb5c160f0bf3c3
[ "MIT" ]
3
2018-06-20T10:35:32.000Z
2020-11-17T20:16:03.000Z
tests/test_dataset.py
kilsen512/triplet-reid-pytorch
0cd2c2ac638d22745483b3d12ccb5c160f0bf3c3
[ "MIT" ]
10
2018-05-18T07:34:56.000Z
2021-01-16T00:02:12.000Z
import sys from os import path sys.path.append( path.dirname( path.dirname( path.abspath(__file__) ) ) ) import unittest from csv_dataset import * class TestMarket(unittest.TestCase): def test_make_dataset(self): csv_f...
30.8
97
0.600649
68
616
5.132353
0.558824
0.063037
0.08596
0
0
0
0
0
0
0
0
0.025522
0.300325
616
19
98
32.421053
0.784223
0
0
0
0
0
0.170455
0.157468
0
0
0
0
0.071429
1
0.071429
false
0
0.285714
0
0.428571
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
77bb5640e0e164a57f7b3d1cb8fe5afab8675900
3,695
py
Python
help/forms.py
pincoin/rakmai
d9daa399aff50712a86b2dec9d94e622237b25b0
[ "MIT" ]
11
2018-04-02T16:36:19.000Z
2019-07-10T05:54:58.000Z
help/forms.py
pincoin/rakmai
d9daa399aff50712a86b2dec9d94e622237b25b0
[ "MIT" ]
22
2019-01-01T20:40:21.000Z
2022-02-10T08:06:39.000Z
help/forms.py
pincoin/rakmai
d9daa399aff50712a86b2dec9d94e622237b25b0
[ "MIT" ]
4
2019-03-12T14:24:37.000Z
2022-01-07T16:20:22.000Z
from crispy_forms.helper import ( FormHelper, Layout ) from crispy_forms.layout import ( HTML, Fieldset, Submit ) from django import forms from django.urls import reverse from django.utils.translation import gettext_lazy as _ from shop import models class FaqMessageAdminForm(forms.ModelForm): class Meta:...
31.853448
118
0.568065
394
3,695
5.19797
0.238579
0.058594
0.041016
0.048828
0.638672
0.561035
0.527832
0.527832
0.527832
0.495605
0
0.002654
0.286062
3,695
115
119
32.130435
0.773692
0.030041
0
0.555556
0
0.044444
0.286952
0.024588
0
0
0
0
0
1
0.033333
false
0
0.066667
0
0.211111
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
77c4ac6e0829dc7178a6b601892640733f30e784
2,736
py
Python
hmrc_sdes/tests/test_client.py
uktrade/tamato
4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca
[ "MIT" ]
14
2020-03-25T11:11:29.000Z
2022-03-08T20:41:33.000Z
hmrc_sdes/tests/test_client.py
uktrade/tamato
4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca
[ "MIT" ]
352
2020-03-25T10:42:09.000Z
2022-03-30T15:32:26.000Z
hmrc_sdes/tests/test_client.py
uktrade/tamato
4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca
[ "MIT" ]
3
2020-08-06T12:22:41.000Z
2022-01-16T11:51:12.000Z
import json import os from hashlib import md5 from unittest.mock import Mock import pytest from common.tests import factories from hmrc_sdes.api_client import HmrcSdesClient pytestmark = pytest.mark.django_db def test_sdes_client(responses): responses.add( responses.POST, url="https://test-api...
30.065934
108
0.666667
328
2,736
5.42378
0.396341
0.02923
0.025295
0.026981
0.136594
0.091062
0.062957
0.062957
0.062957
0.062957
0
0.009259
0.210526
2,736
90
109
30.4
0.814352
0.076023
0
0.090909
0
0.015152
0.256939
0.074148
0
0
0
0
0.106061
1
0.030303
false
0.015152
0.106061
0
0.136364
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