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
bebfe36afc8a169020e2b3f2d6602873133b4e74
884
py
Python
tiddlyweb/filters/limit.py
tiddlyweb/tiddlyweb
376bcad280e24d2de4d74883dc4d8369abcb2c28
[ "BSD-3-Clause" ]
57
2015-02-01T21:03:34.000Z
2021-12-25T12:02:31.000Z
tiddlyweb/filters/limit.py
tiddlyweb/tiddlyweb
376bcad280e24d2de4d74883dc4d8369abcb2c28
[ "BSD-3-Clause" ]
6
2016-02-05T11:43:32.000Z
2019-09-05T13:38:49.000Z
tiddlyweb/filters/limit.py
tiddlyweb/tiddlyweb
376bcad280e24d2de4d74883dc4d8369abcb2c28
[ "BSD-3-Clause" ]
17
2015-05-12T08:53:23.000Z
2021-12-21T15:56:30.000Z
""" A :py:mod:`filter <tiddlyweb.filters>` type to limit a group of entities using a syntax similar to SQL Limit:: limit=<index>,<count> limit=<count> """ import itertools def limit_parse(count='0'): """ Parse the argument of a ``limit`` :py:mod:`filter <tiddlyweb.filters>` for a count and index...
23.891892
78
0.64819
124
884
4.612903
0.443548
0.087413
0.038462
0.06993
0.094406
0
0
0
0
0
0
0.007353
0.230769
884
36
79
24.555556
0.833824
0.469457
0
0
0
0
0.009456
0
0
0
0
0
0
1
0.25
false
0
0.083333
0.083333
0.583333
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
1
0
0
0
0
1
0
0
2
bec9227899c9767af55354a2d39773951766ff07
486
py
Python
tdx/abc.py
TrainerDex/DiscordBot
7e7bb20c5ac76bed236a7458c31017b8ddd8b8be
[ "Apache-2.0" ]
2
2020-09-18T12:43:48.000Z
2020-11-10T00:34:15.000Z
tdx/abc.py
TrainerDex/DiscordBot
7e7bb20c5ac76bed236a7458c31017b8ddd8b8be
[ "Apache-2.0" ]
59
2020-07-24T00:04:53.000Z
2022-03-29T11:15:48.000Z
tdx/abc.py
TrainerDex/DiscordBot
7e7bb20c5ac76bed236a7458c31017b8ddd8b8be
[ "Apache-2.0" ]
1
2022-01-12T12:33:15.000Z
2022-01-12T12:33:15.000Z
from abc import ABC from typing import Dict from redbot.core import Config from redbot.core.bot import Red from trainerdex.client import Client class MixinMeta(ABC): """ Base class for well behaved type hint detection with composite class. Basically, to keep developers sane when not all attributes are d...
23.142857
89
0.699588
68
486
4.926471
0.617647
0.059701
0.083582
0
0
0
0
0
0
0
0
0
0.240741
486
20
90
24.3
0.907859
0.320988
0
0
0
0
0
0
0
0
0
0
0
1
0.090909
false
0
0.454545
0
0.636364
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
1
0
1
0
0
2
fe3dd2d72750bce0851326699b900d4e0689f605
690
py
Python
Python/1238.py
ArikBartzadok/beecrowd-challenges
ddb0453d1caa75c87c4b3ed6a40309ab99da77f2
[ "MIT" ]
null
null
null
Python/1238.py
ArikBartzadok/beecrowd-challenges
ddb0453d1caa75c87c4b3ed6a40309ab99da77f2
[ "MIT" ]
null
null
null
Python/1238.py
ArikBartzadok/beecrowd-challenges
ddb0453d1caa75c87c4b3ed6a40309ab99da77f2
[ "MIT" ]
null
null
null
def execucoes(): return int(input()) def entradas(): return input().split(' ') def imprimir(v): print(v) def tamanho_a(a): return len(a) def tamanho_b(b): return len(b) def diferenca_tamanhos(a, b): return (len(a) <= len(b)) def analisar(e, i, s): a, b = e if(diferenca_tamanhos(a, ...
18.157895
60
0.510145
105
690
3.27619
0.257143
0.02907
0.078488
0.09593
0.145349
0.040698
0.040698
0
0
0
0
0
0.317391
690
38
61
18.157895
0.730361
0
0
0.137931
0
0
0.001447
0
0
0
0
0
0
1
0.275862
false
0
0
0.172414
0.482759
0.034483
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
1
0
0
0
1
0
0
0
2
fe433c22e1af644dfc7ebbadd44ff0872fa4438b
487
py
Python
riddle.py
robertlit/monty-hall-problem
746cab513dacdc1f47ce7269db35167df3520865
[ "MIT" ]
null
null
null
riddle.py
robertlit/monty-hall-problem
746cab513dacdc1f47ce7269db35167df3520865
[ "MIT" ]
null
null
null
riddle.py
robertlit/monty-hall-problem
746cab513dacdc1f47ce7269db35167df3520865
[ "MIT" ]
null
null
null
import random goat1 = random.randint(1, 3) goat2 = random.randint(1, 3) while goat1 == goat2: goat2 = random.randint(1, 3) success = 0 tries = 1_000_000 for _ in range(tries): options = [1, 2, 3] choice = random.randint(1, 3) options.remove(choice) if choice == goat1: options.remove(goat...
18.037037
43
0.61807
67
487
4.447761
0.343284
0.174497
0.187919
0.201342
0.134228
0
0
0
0
0
0
0.086111
0.26078
487
26
44
18.730769
0.741667
0
0
0.105263
0
0
0
0
0
0
0
0
0
1
0
false
0
0.052632
0
0.052632
0.052632
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
fe4725d5ecf06c13eb1ec7a97c57345acb7badcb
760
py
Python
tests/integration/test_interface.py
Synodic-Software/CPPython
12e9acdf68e54d45bcf0b6c137d4fe627d1f6877
[ "MIT" ]
null
null
null
tests/integration/test_interface.py
Synodic-Software/CPPython
12e9acdf68e54d45bcf0b6c137d4fe627d1f6877
[ "MIT" ]
8
2021-11-28T23:46:36.000Z
2022-03-15T09:00:43.000Z
tests/integration/test_interface.py
Synodic-Software/CPPython
12e9acdf68e54d45bcf0b6c137d4fe627d1f6877
[ "MIT" ]
2
2021-11-28T23:17:49.000Z
2021-11-28T23:36:03.000Z
""" Test the integrations related to the internal interface implementation and the 'Interface' interface itself """ import pytest from cppython_core.schema import InterfaceConfiguration from pytest_cppython.plugin import InterfaceIntegrationTests from cppython.console import ConsoleInterface class TestCLIInterface(...
28.148148
107
0.735526
74
760
7.513514
0.540541
0.043165
0
0
0
0
0
0
0
0
0
0
0.205263
760
26
108
29.230769
0.92053
0.372368
0
0
0
0
0.021687
0
0
0
0
0
0
1
0.111111
false
0
0.444444
0
0.777778
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
1
0
1
0
0
2
fe509cc8fe00e2ec571d053ee6c5713299416d2c
1,225
py
Python
h/exceptions.py
ssin122/test-h
c10062ae23b690afaac0ab4af7b9a5a5e4b686a9
[ "MIT" ]
2
2021-11-07T23:14:54.000Z
2021-11-17T10:11:55.000Z
h/exceptions.py
ssin122/test-h
c10062ae23b690afaac0ab4af7b9a5a5e4b686a9
[ "MIT" ]
null
null
null
h/exceptions.py
ssin122/test-h
c10062ae23b690afaac0ab4af7b9a5a5e4b686a9
[ "MIT" ]
1
2017-03-12T00:18:33.000Z
2017-03-12T00:18:33.000Z
# -*- coding: utf-8 -*- """Exceptions raised by the h application.""" from __future__ import unicode_literals from h.i18n import TranslationString as _ # N.B. This class **only** covers exceptions thrown by API code provided by # the h package. memex code has its own base APIError class. class APIError(Exception):...
27.222222
79
0.702041
150
1,225
5.466667
0.486667
0.085366
0.040244
0.065854
0.060976
0
0
0
0
0
0
0.01227
0.201633
1,225
44
80
27.840909
0.826176
0.411429
0
0
0
0
0.046547
0
0
0
0
0
0
1
0.214286
false
0
0.142857
0
0.571429
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
1
0
0
0
0
1
0
0
2
fe56cfdabfdb2c62e991e0ff5887c5fa113a7477
694
py
Python
set.py
QUDUSKUNLE/Python-Flask
5990572b17923c976907c2fa5c2a9790f3a7c869
[ "MIT" ]
null
null
null
set.py
QUDUSKUNLE/Python-Flask
5990572b17923c976907c2fa5c2a9790f3a7c869
[ "MIT" ]
null
null
null
set.py
QUDUSKUNLE/Python-Flask
5990572b17923c976907c2fa5c2a9790f3a7c869
[ "MIT" ]
null
null
null
""" How to set up virtual environment pip install virtualenv pip install virtualenvwrapper # export WORKON_HOME=~/Envs source /usr/local/bin/virtualenvwrapper.sh # To activate virtualenv and set up flask 1. mkvirtualenv my-venv ###2. workon my-venv 3. pip install Flask 4. pip freeze 5. #...
30.173913
79
0.714697
97
694
5.103093
0.701031
0.060606
0.113131
0.137374
0
0
0
0
0
0
0
0.013084
0.229107
694
23
80
30.173913
0.91215
0.936599
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2
fe5734aaedd2488a65c2f70b6e6de6bc38f3f4ec
1,346
py
Python
test/test_generate_data_coassembly.py
Badboy-16/SemiBin
501bc1a7e310104c09475ca233a3f16d081f129a
[ "MIT" ]
null
null
null
test/test_generate_data_coassembly.py
Badboy-16/SemiBin
501bc1a7e310104c09475ca233a3f16d081f129a
[ "MIT" ]
null
null
null
test/test_generate_data_coassembly.py
Badboy-16/SemiBin
501bc1a7e310104c09475ca233a3f16d081f129a
[ "MIT" ]
null
null
null
from SemiBin.main import generate_data_single import os import pytest import logging import pandas as pd def test_generate_data_coassembly(): logger = logging.getLogger('SemiBin') logger.setLevel(logging.INFO) sh = logging.StreamHandler() sh.setFormatter(logging.Formatter('%(asctime)s - %(message)s')) ...
42.0625
80
0.604012
147
1,346
5.292517
0.442177
0.107969
0.154242
0.18509
0.313625
0.239075
0
0
0
0
0
0.023256
0.297177
1,346
32
81
42.0625
0.799154
0
0
0
1
0
0.288048
0.23905
0
0
0
0
0.071429
1
0.035714
false
0
0.178571
0
0.214286
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
fe5e44d3d94cf663368e7d42480218daf9100e40
16,722
py
Python
instahunter.py
Araekiel/instahunter
c07c10773bcf33bdc0d46b39a0dda3f55936b1f3
[ "MIT" ]
17
2020-09-06T18:10:51.000Z
2021-12-04T07:04:00.000Z
instahunter.py
Araekiel/instahunter
c07c10773bcf33bdc0d46b39a0dda3f55936b1f3
[ "MIT" ]
1
2020-09-30T18:43:10.000Z
2021-05-17T09:59:03.000Z
instahunter.py
Araekiel/instahunter
c07c10773bcf33bdc0d46b39a0dda3f55936b1f3
[ "MIT" ]
5
2020-11-10T15:08:37.000Z
2022-01-02T21:20:24.000Z
''' instahunter.py Author: Araekiel Copyright: Copyright © 2019, Araekiel License: MIT Version: 1.6.3 ''' import click import requests import json from datetime import datetime @click.group() def cli(): """Made by Araekiel | v1.6.3""" headers = { "User-Agent": "Mozilla/5.0 (Macintosh; Inte...
59.297872
425
0.57224
2,111
16,722
4.378494
0.113216
0.104728
0.092394
0.00779
0.759926
0.744888
0.697825
0.673483
0.653684
0.627502
0
0.004668
0.256967
16,722
281
426
59.508897
0.739155
0.075649
0
0.512605
0
0.054622
0.40625
0.044504
0
0
0
0
0
1
0.021008
false
0
0.016807
0
0.037815
0
0
0
0
null
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
fe60c7c64b76bb62e7927a82cb0d30249ff0793b
1,840
py
Python
src/main.py
Lidenbrock-ed/challenge-prework-backend-python
d2f46a5cf9ad649de90d4194d115cd9492eb583d
[ "MIT" ]
null
null
null
src/main.py
Lidenbrock-ed/challenge-prework-backend-python
d2f46a5cf9ad649de90d4194d115cd9492eb583d
[ "MIT" ]
null
null
null
src/main.py
Lidenbrock-ed/challenge-prework-backend-python
d2f46a5cf9ad649de90d4194d115cd9492eb583d
[ "MIT" ]
null
null
null
# Resolve the problem!! import string import random SYMBOLS = list('!"#$%&\'()*+,-./:;?@[]^_`{|}~') def generate_password(): # Start coding here letters_min = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','x','y','z'] letters_may = ['A','B','C','D','E','F','G','H...
27.058824
119
0.547283
234
1,840
4.111111
0.363248
0.049896
0.037422
0.070686
0.227651
0.227651
0.227651
0.227651
0.227651
0.149688
0
0.011407
0.285326
1,840
67
120
27.462687
0.720152
0.021196
0
0.166667
1
0
0.059511
0
0
0
0
0
0
1
0.0625
false
0.375
0.041667
0
0.166667
0.0625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
2
fe6124434f4049e2a32ac1bce2dbe6c619c4fd73
222
py
Python
pythonteste/aula08a.py
genisyskernel/cursoemvideo-python
dec301e33933388c886fe78010f38adfb24dae82
[ "MIT" ]
1
2020-10-26T04:33:14.000Z
2020-10-26T04:33:14.000Z
pythonteste/aula08a.py
genisyskernel/cursoemvideo-python
dec301e33933388c886fe78010f38adfb24dae82
[ "MIT" ]
null
null
null
pythonteste/aula08a.py
genisyskernel/cursoemvideo-python
dec301e33933388c886fe78010f38adfb24dae82
[ "MIT" ]
null
null
null
from math import sqrt import emoji num = int(input("Digite um número: ")) raiz = sqrt(num) print("A raiz do número {0} é {1:.2f}.".format(num, raiz)) print(emoji.emojize("Hello World! :earth_americas:", use_aliases=True))
31.714286
71
0.707207
37
222
4.189189
0.756757
0
0
0
0
0
0
0
0
0
0
0.015385
0.121622
222
6
72
37
0.779487
0
0
0
0
0
0.351351
0
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0.333333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
2
fe6f28fa08fad0c5dcac3f523f0415850eb9e77c
3,495
py
Python
dcos_installer/test_cli.py
nkhanal0/dcos
fe0571b6519c86b6c33db4af42c63ab3e9087dcf
[ "Apache-2.0" ]
3
2017-02-05T06:58:28.000Z
2017-05-12T07:28:53.000Z
dcos_installer/test_cli.py
nkhanal0/dcos
fe0571b6519c86b6c33db4af42c63ab3e9087dcf
[ "Apache-2.0" ]
720
2017-02-08T04:04:19.000Z
2021-09-14T14:04:56.000Z
dcos_installer/test_cli.py
nkhanal0/dcos
fe0571b6519c86b6c33db4af42c63ab3e9087dcf
[ "Apache-2.0" ]
14
2017-02-08T03:57:24.000Z
2019-10-28T12:14:49.000Z
import pytest import gen from dcos_installer import cli def test_default_arg_parser(): parser = cli.get_argument_parser().parse_args([]) assert parser.verbose is False assert parser.port == 9000 assert parser.action == 'genconf' def test_set_arg_parser(): argument_parser = cli.get_argument_pars...
34.60396
76
0.571674
434
3,495
4.520737
0.239631
0.12844
0.107034
0.022936
0.279307
0.222222
0.222222
0.20999
0.155963
0.014271
0
0.017285
0.205436
3,495
100
77
34.95
0.689233
0.065522
0
0.136986
0
0
0.180479
0.046041
0
0
0
0
0.547945
1
0.054795
false
0.178082
0.041096
0.013699
0.109589
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
1
0
0
0
1
0
0
0
0
0
2
fe74b07194e48e39b48840554a34c0fb3e4605a4
13,815
py
Python
telemetry/telemetry/testing/internal/fake_gpu_info.py
tingshao/catapult
a8fe19e0c492472a8ed5710be9077e24cc517c5c
[ "BSD-3-Clause" ]
2,151
2020-04-18T07:31:17.000Z
2022-03-31T08:39:18.000Z
telemetry/telemetry/testing/internal/fake_gpu_info.py
tingshao/catapult
a8fe19e0c492472a8ed5710be9077e24cc517c5c
[ "BSD-3-Clause" ]
4,640
2015-07-08T16:19:08.000Z
2019-12-02T15:01:27.000Z
telemetry/telemetry/testing/internal/fake_gpu_info.py
tingshao/catapult
a8fe19e0c492472a8ed5710be9077e24cc517c5c
[ "BSD-3-Clause" ]
698
2015-06-02T19:18:35.000Z
2022-03-29T16:57:15.000Z
# Copyright 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # This dictionary of GPU information was captured from a run of # Telemetry on a Linux workstation with NVIDIA GPU. It helps test # telemetry.internal.platfo...
57.086777
78
0.668983
1,740
13,815
4.636782
0.262069
0.083044
0.043133
0.016857
0.055528
0.013014
0
0
0
0
0
0.014368
0.284618
13,815
241
79
57.323651
0.801983
0.06464
0
0
0
0
0.680902
0.493024
0
0
0
0
0
1
0
false
0
0.004545
0
0.004545
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
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
fe86745dc1d7b386636a2027dae3d2552bd3e833
2,412
py
Python
test/dict_parameter_test.py
shouldsee/luigi
54a347361ae1031f06105eaf30ff88f5ef65b00c
[ "Apache-2.0" ]
14,755
2015-01-01T09:33:34.000Z
2022-03-31T15:38:39.000Z
test/dict_parameter_test.py
shouldsee/luigi
54a347361ae1031f06105eaf30ff88f5ef65b00c
[ "Apache-2.0" ]
2,387
2015-01-01T09:16:13.000Z
2022-03-12T13:55:43.000Z
test/dict_parameter_test.py
shouldsee/luigi
54a347361ae1031f06105eaf30ff88f5ef65b00c
[ "Apache-2.0" ]
2,630
2015-01-02T06:11:32.000Z
2022-03-27T22:11:20.000Z
# -*- coding: utf-8 -*- # # Copyright 2012-2015 Spotify AB # # 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...
37.6875
105
0.679934
282
2,412
5.719858
0.382979
0.100434
0.055797
0.074396
0.236826
0.109113
0.066956
0
0
0
0
0.00651
0.172056
2,412
63
106
38.285714
0.801202
0.236318
0
0
0
0
0.166575
0.019726
0
0
0
0
0.242424
1
0.212121
false
0.151515
0.151515
0
0.484848
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
1
0
1
0
0
0
0
0
2
feab2f73df218463681f43ce0d3584c476b63adb
925
py
Python
src/common/bio/smiles.py
duttaprat/proteinGAN
92b32192ab959e327e1d713d09fc9b40dc01d757
[ "MIT" ]
8
2020-12-23T21:44:47.000Z
2021-07-09T05:46:16.000Z
src/common/bio/smiles.py
duttaprat/proteinGAN
92b32192ab959e327e1d713d09fc9b40dc01d757
[ "MIT" ]
null
null
null
src/common/bio/smiles.py
duttaprat/proteinGAN
92b32192ab959e327e1d713d09fc9b40dc01d757
[ "MIT" ]
null
null
null
from common.bio.constants import SMILES_CHARACTER_TO_ID, ID_TO_SMILES_CHARACTER def from_smiles_to_id(data, column): """Converts sequences from smiles to ids Args: data: data that contains characters that need to be converted to ids column: a column of the dataframe that contains characters that ...
28.030303
102
0.721081
140
925
4.635714
0.25
0.09245
0.061633
0.07396
0.625578
0.493066
0.493066
0.493066
0.409861
0.29584
0
0
0.219459
925
32
103
28.90625
0.898892
0.526486
0
0
0
0
0
0
0
0
0
0
0
1
0.4
false
0
0.2
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
2
feb0e950cc084ec84da234840633db92453d5121
16,227
py
Python
sdk/python/pulumi_aws/cloudformation/stack_set.py
mdop-wh/pulumi-aws
05bb32e9d694dde1c3b76d440fd2cd0344d23376
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
sdk/python/pulumi_aws/cloudformation/stack_set.py
mdop-wh/pulumi-aws
05bb32e9d694dde1c3b76d440fd2cd0344d23376
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
sdk/python/pulumi_aws/cloudformation/stack_set.py
mdop-wh/pulumi-aws
05bb32e9d694dde1c3b76d440fd2cd0344d23376
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Dict, List, Mapping, Optional, Tuple, Union from .. import ...
57.747331
403
0.680841
1,929
16,227
5.522032
0.145671
0.055764
0.055201
0.033796
0.708787
0.668325
0.662974
0.644668
0.617161
0.611247
0
0.005918
0.229371
16,227
280
404
57.953571
0.845902
0.546127
0
0.278195
1
0
0.123449
0.023418
0
0
0
0
0
1
0.112782
false
0.007519
0.037594
0.015038
0.263158
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2283d1768504ac50dd9ea43fb4e940fbaf88eee6
649
py
Python
code/gcd_sequence/sol_443.py
bhavinjawade/project-euler-solutions
56bf6a282730ed4b9b875fa081cf4509d9939d98
[ "Apache-2.0" ]
2
2020-07-16T08:16:32.000Z
2020-10-01T07:16:48.000Z
code/gcd_sequence/sol_443.py
Psingh12354/project-euler-solutions
56bf6a282730ed4b9b875fa081cf4509d9939d98
[ "Apache-2.0" ]
null
null
null
code/gcd_sequence/sol_443.py
Psingh12354/project-euler-solutions
56bf6a282730ed4b9b875fa081cf4509d9939d98
[ "Apache-2.0" ]
1
2021-05-07T18:06:08.000Z
2021-05-07T18:06:08.000Z
# -*- coding: utf-8 -*- ''' File name: code\gcd_sequence\sol_443.py Author: Vaidic Joshi Date created: Oct 20, 2018 Python Version: 3.x ''' # Solution to Project Euler Problem #443 :: GCD sequence # # For more information see: # https://projecteuler.net/problem=443 # Problem Statement ''' Let g(n) ...
17.540541
62
0.644068
96
649
4.333333
0.666667
0.024038
0.014423
0.019231
0
0
0
0
0
0
0
0.216797
0.211094
649
36
63
18.027778
0.595703
0.454545
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2
228f917fd03d25566ca49e7918c233c48b585119
88
py
Python
fast-ml/main.py
gabrielstork/fast-ml
ce93c1263970ce7b958e1c3e932c70909bcc0e31
[ "Apache-2.0" ]
1
2021-07-26T15:37:30.000Z
2021-07-26T15:37:30.000Z
fast-ml/main.py
gabrielstork/fast-ml
ce93c1263970ce7b958e1c3e932c70909bcc0e31
[ "Apache-2.0" ]
null
null
null
fast-ml/main.py
gabrielstork/fast-ml
ce93c1263970ce7b958e1c3e932c70909bcc0e31
[ "Apache-2.0" ]
null
null
null
import root if __name__ == '__main__': window = root.Root() window.mainloop()
12.571429
26
0.636364
10
88
4.8
0.7
0
0
0
0
0
0
0
0
0
0
0
0.227273
88
6
27
14.666667
0.705882
0
0
0
0
0
0.090909
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2298b7f13b630423d0c12d2422ae336ad2ea8774
71
py
Python
damn_vulnerable_python/evil.py
CodyKochmann/damn_vulnerable_python
8a90ee3b70dddae96f9f0a8500ed9ba5693f3082
[ "MIT" ]
1
2018-05-22T03:27:54.000Z
2018-05-22T03:27:54.000Z
damn_vulnerable_python/evil.py
CodyKochmann/damn_vulnerable_python
8a90ee3b70dddae96f9f0a8500ed9ba5693f3082
[ "MIT" ]
2
2018-05-22T02:04:39.000Z
2018-05-22T12:46:31.000Z
damn_vulnerable_python/evil.py
CodyKochmann/damn_vulnerable_python
8a90ee3b70dddae96f9f0a8500ed9ba5693f3082
[ "MIT" ]
null
null
null
''' static analyzers are annoying so lets rename eval ''' evil = eval
17.75
57
0.704225
10
71
5
0.9
0
0
0
0
0
0
0
0
0
0
0
0.197183
71
3
58
23.666667
0.877193
0.690141
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
22ad01968a4a3e4e8168ccbc68b9c73d312ea977
709
py
Python
development/simple_email.py
gerold-penz/python-simplemail
9cfae298743af2b771d6d779717b602de559689b
[ "MIT" ]
16
2015-04-21T19:12:26.000Z
2021-06-04T04:38:12.000Z
development/simple_email.py
gerold-penz/python-simplemail
9cfae298743af2b771d6d779717b602de559689b
[ "MIT" ]
3
2015-04-21T22:09:55.000Z
2021-04-27T07:04:05.000Z
development/simple_email.py
gerold-penz/python-simplemail
9cfae298743af2b771d6d779717b602de559689b
[ "MIT" ]
4
2015-07-22T11:33:28.000Z
2019-08-06T07:27:20.000Z
#!/usr/bin/env python # coding: utf-8 # BEGIN --- required only for testing, remove in real world code --- BEGIN import os import sys THISDIR = os.path.dirname(os.path.abspath(__file__)) APPDIR = os.path.abspath(os.path.join(THISDIR, os.path.pardir, os.path.pardir)) sys.path.insert(0, APPDIR) # END --- required only f...
22.870968
79
0.679831
106
709
4.45283
0.584906
0.076271
0.063559
0.09322
0.182203
0.182203
0.182203
0.182203
0.182203
0
0
0.008621
0.181946
709
30
80
23.633333
0.805172
0.248237
0
0
0
0
0.202268
0
0
0
0
0
0
0
null
null
0.055556
0.166667
null
null
0.111111
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
1
0
0
1
0
0
0
0
0
2
22ad976fe4002a0a8ca1f3ab36292229eb143691
2,040
py
Python
common/irma/common/exceptions.py
vaginessa/irma
02285080b67b25ef983a99a765044683bd43296c
[ "Apache-2.0" ]
null
null
null
common/irma/common/exceptions.py
vaginessa/irma
02285080b67b25ef983a99a765044683bd43296c
[ "Apache-2.0" ]
null
null
null
common/irma/common/exceptions.py
vaginessa/irma
02285080b67b25ef983a99a765044683bd43296c
[ "Apache-2.0" ]
null
null
null
# # Copyright (c) 2013-2018 Quarkslab. # This file is part of IRMA project. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License in the top-level directory # of this distribution and at: # # http:...
21.473684
78
0.701471
248
2,040
5.770161
0.471774
0.09434
0.055905
0.035639
0.033543
0
0
0
0
0
0
0.007304
0.194608
2,040
94
79
21.702128
0.863664
0.526471
0
0.5
0
0
0
0
0
0
0
0
0
1
0
true
0.5
0
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
0
0
0
0
0
2
22b80f5d2e66e370817465d9b5b278c1f1dcbe4e
282
py
Python
Ejercicio/Ejercicio7.py
tavo1599/F.P2021
a592804fb5ae30da55551d9e29819887919db041
[ "Apache-2.0" ]
1
2021-05-05T19:39:37.000Z
2021-05-05T19:39:37.000Z
Ejercicio/Ejercicio7.py
tavo1599/F.P2021
a592804fb5ae30da55551d9e29819887919db041
[ "Apache-2.0" ]
null
null
null
Ejercicio/Ejercicio7.py
tavo1599/F.P2021
a592804fb5ae30da55551d9e29819887919db041
[ "Apache-2.0" ]
null
null
null
#Datos de entrada num=int(input("Ingrese un numero: ")) # Proceso if num==10: print("Calificacion: A") elif num==9: print("Calificacion: B") elif num==8: print("Calificacion: C") elif num==7 and num==6: print("Calificacion: D") elif num<=5 and num>=0: print("Calificacion: F")
20.142857
37
0.673759
46
282
4.130435
0.586957
0.447368
0
0
0
0
0
0
0
0
0
0.032787
0.134752
282
13
38
21.692308
0.745902
0.085106
0
0
0
0
0.367188
0
0
0
0
0
0
1
0
false
0
0
0
0
0.454545
0
0
0
null
1
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
1
0
2
22b828cde8bc59acbcf210743592fd1c629c4095
417
py
Python
2015/day-2/part2.py
nairraghav/advent-of-code-2019
274a2a4a59a8be39afb323356c592af5e1921e54
[ "MIT" ]
null
null
null
2015/day-2/part2.py
nairraghav/advent-of-code-2019
274a2a4a59a8be39afb323356c592af5e1921e54
[ "MIT" ]
null
null
null
2015/day-2/part2.py
nairraghav/advent-of-code-2019
274a2a4a59a8be39afb323356c592af5e1921e54
[ "MIT" ]
null
null
null
ribbon_needed = 0 with open("input.txt", "r") as puzzle_input: for line in puzzle_input: length, width, height = [int(item) for item in line.split("x")] dimensions = [length, width, height] smallest_side = min(dimensions) dimensions.remove(smallest_side) second_smallest_side = min(dimensions) ribbon_n...
26.0625
81
0.736211
59
417
5
0.474576
0.20339
0.172881
0.169492
0
0
0
0
0
0
0
0.008475
0.151079
417
15
82
27.8
0.824859
0
0
0
0
0
0.026379
0
0
0
0
0
0
1
0
false
0
0
0
0
0.1
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
22c0b1d42f5e6f6bbd43886632ceb253dedae7b6
4,243
py
Python
h1st/tests/core/test_schemas_inferrer.py
Mou-Ikkai/h1st
da47a8f1ad6af532c549e075fba19e3b3692de89
[ "Apache-2.0" ]
2
2020-08-21T07:49:08.000Z
2020-08-21T07:49:13.000Z
h1st/tests/core/test_schemas_inferrer.py
Mou-Ikkai/h1st
da47a8f1ad6af532c549e075fba19e3b3692de89
[ "Apache-2.0" ]
3
2020-11-13T19:06:07.000Z
2022-02-10T02:06:03.000Z
h1st/tests/core/test_schemas_inferrer.py
Mou-Ikkai/h1st
da47a8f1ad6af532c549e075fba19e3b3692de89
[ "Apache-2.0" ]
null
null
null
from unittest import TestCase from datetime import datetime import pyarrow as pa import numpy as np import pandas as pd from h1st.schema import SchemaInferrer class SchemaInferrerTestCase(TestCase): def test_infer_python(self): inferrer = SchemaInferrer() self.assertEqual(inferrer.infer_schema(1)...
27.732026
82
0.418572
395
4,243
4.422785
0.189873
0.128792
0.197481
0.240412
0.514596
0.412708
0.337722
0.289067
0.195764
0.141958
0
0.056543
0.416451
4,243
152
83
27.914474
0.649031
0
0
0.41791
0
0
0.078247
0
0
0
0
0
0.11194
1
0.037313
false
0
0.044776
0
0.089552
0
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
22c0ccfce68cfbaf9d19c13daf2d7c341cf47746
373
py
Python
c_core_librairies/exercise_a.py
nicolasessisbreton/pyzehe
7497a0095d974ac912ce9826a27e21fd9d513942
[ "Apache-2.0" ]
1
2018-05-31T19:36:36.000Z
2018-05-31T19:36:36.000Z
c_core_librairies/exercise_a.py
nicolasessisbreton/pyzehe
7497a0095d974ac912ce9826a27e21fd9d513942
[ "Apache-2.0" ]
1
2018-05-31T01:10:51.000Z
2018-05-31T01:10:51.000Z
c_core_librairies/exercise_a.py
nicolasessisbreton/pyzehe
7497a0095d974ac912ce9826a27e21fd9d513942
[ "Apache-2.0" ]
null
null
null
""" # refactoring Refactoring is the key to successfull projects. Refactor: 1) annuity_factor such that: conversion to integer is handled, no extra printing 2) policy_book into a class such that: a function generates the book and the premium stats and visualizations functions are avalaible 3) book_report su...
21.941176
50
0.772118
55
373
5.181818
0.745455
0.084211
0
0
0
0
0
0
0
0
0
0.009868
0.184987
373
17
51
21.941176
0.927632
1.16622
0
null
0
null
0
0
null
0
0
0
null
1
null
true
0
0
null
null
null
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2
22c52f6029df65fcd8fa5837d73e5ae4e6fb61e1
1,087
py
Python
test/functional/test_device.py
Jagadambass/Graph-Neural-Networks
c8f1d87f8cd67d645c2f05f370be039acf05ca52
[ "MIT" ]
null
null
null
test/functional/test_device.py
Jagadambass/Graph-Neural-Networks
c8f1d87f8cd67d645c2f05f370be039acf05ca52
[ "MIT" ]
null
null
null
test/functional/test_device.py
Jagadambass/Graph-Neural-Networks
c8f1d87f8cd67d645c2f05f370be039acf05ca52
[ "MIT" ]
null
null
null
from graphgallery.functional import device import tensorflow as tf import torch def test_device(): # how about other backend? # tf assert isinstance(device("cpu", "tf"), str) assert device() == 'cpu' assert device("cpu", "tf") == 'CPU' assert device("cpu", "tf") == 'cpu' assert device("de...
26.512195
68
0.596136
130
1,087
4.892308
0.230769
0.113208
0.117925
0.099057
0.410377
0.259434
0.259434
0.259434
0.172956
0.172956
0
0
0.24563
1,087
40
69
27.175
0.77561
0.033119
0
0.275862
0
0
0.115568
0
0
0
0
0
0.448276
1
0.034483
false
0.068966
0.103448
0
0.137931
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
1
0
0
0
1
0
0
0
0
0
2
22c7a70f2a69982c24184228f6ed64f2bdc7679e
1,948
py
Python
credentials_test.py
tinatasha/passwordgenerator
ad161e14779e975e98ad989c5df976ac3662f8d8
[ "MIT" ]
null
null
null
credentials_test.py
tinatasha/passwordgenerator
ad161e14779e975e98ad989c5df976ac3662f8d8
[ "MIT" ]
null
null
null
credentials_test.py
tinatasha/passwordgenerator
ad161e14779e975e98ad989c5df976ac3662f8d8
[ "MIT" ]
null
null
null
import unittest from password import Credentials class TestCredentials(unittest.TestCase): """ Class to test behaviour of the credentials class """ def setUp(self): """ Setup method that defines instructions """ self.new_credentials = Credentials("Github","Tina","blackfa...
31.419355
88
0.658624
195
1,948
6.358974
0.323077
0.133065
0.116129
0.093548
0.46129
0.297581
0.297581
0.271774
0.225806
0
0
0.002705
0.24076
1,948
62
89
31.419355
0.8357
0
0
0.241379
0
0
0.063187
0
0
0
0
0
0.241379
0
null
null
0.068966
0.068966
null
null
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
1
0
0
1
0
0
0
0
0
2
22cecf207eb3150281c5d9ddc72a0ab1531e7bdb
5,341
py
Python
visual_genome/models.py
hayyubi/visual-genome-driver
412223bf1552b1927fb1219cfcf90dcd2599bf34
[ "MIT" ]
null
null
null
visual_genome/models.py
hayyubi/visual-genome-driver
412223bf1552b1927fb1219cfcf90dcd2599bf34
[ "MIT" ]
null
null
null
visual_genome/models.py
hayyubi/visual-genome-driver
412223bf1552b1927fb1219cfcf90dcd2599bf34
[ "MIT" ]
null
null
null
""" Visual Genome Python API wrapper, models """ class Image: """ Image. ID int url hyperlink string width int height int """ def __init__(self, id, url, width, height, coco_id, flickr_id): self.id = id self.url = url self.width ...
24.058559
74
0.52874
607
5,341
4.439868
0.153213
0.037848
0.036735
0.050464
0.331725
0.267161
0.224861
0.092393
0.031169
0.031169
0
0.004821
0.378581
5,341
221
75
24.167421
0.807171
0.24209
0
0.457944
0
0.009346
0.056045
0
0
0
0
0
0
1
0.224299
false
0
0
0.121495
0.448598
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
1
0
0
0
1
0
0
0
2
22d061bf4dd94ca94a7f507ce7fe9f9a517f47a3
274
py
Python
global_info.py
AkagiYui/AzurLaneTool
f00fa6e5c6371db72ee399d7bd178a81f39afd8b
[ "Apache-2.0" ]
null
null
null
global_info.py
AkagiYui/AzurLaneTool
f00fa6e5c6371db72ee399d7bd178a81f39afd8b
[ "Apache-2.0" ]
null
null
null
global_info.py
AkagiYui/AzurLaneTool
f00fa6e5c6371db72ee399d7bd178a81f39afd8b
[ "Apache-2.0" ]
null
null
null
from time import sleep debug_mode = False time_to_exit = False exiting = False exit_code = 0 def get_debug_mode(): return debug_mode def trigger_exit(_exit_code): global time_to_exit, exit_code exit_code = _exit_code time_to_exit = True sleep(0.1)
14.421053
34
0.729927
45
274
4.044444
0.422222
0.21978
0.164835
0.175824
0
0
0
0
0
0
0
0.013889
0.211679
274
18
35
15.222222
0.828704
0
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.083333
0.083333
0.333333
0
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
22d53110de1903196c37bd847b098f2456b54f16
1,441
py
Python
windows_packages_gpu/torch/nn/intrinsic/qat/modules/linear_relu.py
codeproject/DeepStack
d96368a3db1bc0266cb500ba3701d130834da0e6
[ "Apache-2.0" ]
353
2020-12-10T10:47:17.000Z
2022-03-31T23:08:29.000Z
windows_packages_gpu/torch/nn/intrinsic/qat/modules/linear_relu.py
codeproject/DeepStack
d96368a3db1bc0266cb500ba3701d130834da0e6
[ "Apache-2.0" ]
80
2020-12-10T09:54:22.000Z
2022-03-30T22:08:45.000Z
windows_packages_gpu/torch/nn/intrinsic/qat/modules/linear_relu.py
codeproject/DeepStack
d96368a3db1bc0266cb500ba3701d130834da0e6
[ "Apache-2.0" ]
63
2020-12-10T17:10:34.000Z
2022-03-28T16:27:07.000Z
from __future__ import absolute_import, division, print_function, unicode_literals import torch.nn.qat as nnqat import torch.nn.intrinsic import torch.nn.functional as F class LinearReLU(nnqat.Linear): r""" A LinearReLU module fused from Linear and ReLU modules, attached with FakeQuantize modules f...
34.309524
89
0.66898
179
1,441
5.223464
0.430168
0.04492
0.041711
0.055615
0.053476
0
0
0
0
0
0
0.01275
0.238029
1,441
41
90
35.146341
0.838798
0.420541
0
0
0
0
0
0
0
0
0
0
0
1
0.1875
false
0
0.25
0.125
0.6875
0.0625
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
1
1
0
0
2
22da304d7553bb5adf64e1d52f39170a3b5aca59
249
py
Python
jumbo_api/objects/profile.py
rolfberkenbosch/python-jumbo-api
9ca35cbea6225dcc6108093539e76f110b1840b0
[ "MIT" ]
3
2020-07-24T08:44:13.000Z
2021-09-05T06:24:01.000Z
jumbo_api/objects/profile.py
rolfberkenbosch/python-jumbo-api
9ca35cbea6225dcc6108093539e76f110b1840b0
[ "MIT" ]
6
2020-04-30T19:12:24.000Z
2021-03-23T19:21:19.000Z
jumbo_api/objects/profile.py
rolfberkenbosch/python-jumbo-api
9ca35cbea6225dcc6108093539e76f110b1840b0
[ "MIT" ]
2
2020-04-30T14:59:12.000Z
2020-08-30T19:15:57.000Z
from jumbo_api.objects.store import Store class Profile(object): def __init__(self, data): self.id = data.get("identifier") self.store = Store(data.get("store")) def __str__(self): return f"{self.id} {self.store}"
22.636364
45
0.634538
34
249
4.382353
0.558824
0.080537
0
0
0
0
0
0
0
0
0
0
0.220884
249
10
46
24.9
0.768041
0
0
0
0
0
0.148594
0
0
0
0
0
0
1
0.285714
false
0
0.142857
0.142857
0.714286
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
1
0
0
0
1
0
0
0
2
22db31f9f12a464c13a70cead5b1a18013bd0add
365
py
Python
lazyblacksmith/views/ajax/__init__.py
jonathonfletcher/LazyBlacksmith
f244f0a15c795707b64e7cc53f82c6d6270691b5
[ "BSD-3-Clause" ]
49
2016-10-24T13:51:56.000Z
2022-02-18T06:07:47.000Z
lazyblacksmith/views/ajax/__init__.py
jonathonfletcher/LazyBlacksmith
f244f0a15c795707b64e7cc53f82c6d6270691b5
[ "BSD-3-Clause" ]
84
2015-04-29T10:24:51.000Z
2022-02-17T19:18:01.000Z
lazyblacksmith/views/ajax/__init__.py
jonathonfletcher/LazyBlacksmith
f244f0a15c795707b64e7cc53f82c6d6270691b5
[ "BSD-3-Clause" ]
34
2017-01-23T13:19:17.000Z
2022-02-02T17:32:08.000Z
# -*- encoding: utf-8 -*- from flask import request from lazyblacksmith.utils.request import is_xhr import logging logger = logging.getLogger('lb.ajax') def is_not_ajax(): """ Return True if request is not ajax This function is used in @cache annotation to not cache direct call (http 40...
21.470588
48
0.665753
51
365
4.686275
0.627451
0.041841
0.075314
0
0
0
0
0
0
0
0
0.014545
0.246575
365
16
49
22.8125
0.854545
0.378082
0
0
0
0
0.037433
0
0
0
0
0
0
1
0.166667
false
0
0.5
0
0.833333
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
1
0
1
0
0
2
22de394896bd7be748b49ef5d7072349cfcc8ff2
1,770
py
Python
09_multiprocessing/prime_validation/primes_factor_test.py
jumploop/high_performance_python
da5b11735601b51f141975f9d59f14293cab16bb
[ "MIT" ]
null
null
null
09_multiprocessing/prime_validation/primes_factor_test.py
jumploop/high_performance_python
da5b11735601b51f141975f9d59f14293cab16bb
[ "MIT" ]
null
null
null
09_multiprocessing/prime_validation/primes_factor_test.py
jumploop/high_performance_python
da5b11735601b51f141975f9d59f14293cab16bb
[ "MIT" ]
null
null
null
import math import time def check_prime(n): if n % 2 == 0: return False, 2 for i in range(3, int(math.sqrt(n)) + 1): if n % i == 0: return False, i return True, None if __name__ == "__main__": primes = [] t1 = time.time() # 100109100129100151 big prime # htt...
36.122449
170
0.654802
188
1,770
6.042553
0.574468
0.057218
0.021127
0.075704
0
0
0
0
0
0
0
0.403061
0.224859
1,770
48
171
36.875
0.424927
0.450282
0
0
0
0
0.027168
0
0
0
0
0
0
1
0.037037
false
0
0.074074
0
0.222222
0.148148
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
22ecf4bdf03fca4f671513bb4a4ebe6ea6f1152b
225
py
Python
cocotb_test/run.py
canerbulduk/cocotb-test
ece092446a1e5de932db12dfb60441d6f322d5f1
[ "BSD-2-Clause" ]
null
null
null
cocotb_test/run.py
canerbulduk/cocotb-test
ece092446a1e5de932db12dfb60441d6f322d5f1
[ "BSD-2-Clause" ]
null
null
null
cocotb_test/run.py
canerbulduk/cocotb-test
ece092446a1e5de932db12dfb60441d6f322d5f1
[ "BSD-2-Clause" ]
null
null
null
import cocotb_test.simulator # For partial back compatibility def run(simulator=None, **kwargs): if simulator: sim = simulator(**kwargs) sim.run() else: cocotb_test.simulator.run(**kwargs)
17.307692
43
0.648889
26
225
5.538462
0.576923
0.138889
0.263889
0
0
0
0
0
0
0
0
0
0.24
225
12
44
18.75
0.842105
0.133333
0
0
0
0
0
0
0
0
0
0
0
1
0.142857
false
0
0.142857
0
0.285714
0
1
0
0
null
0
1
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
0
2
22f45d29bee95fa69837bee8b207676703b1cb59
844
py
Python
examples/hello_world/src/Algorithm.py
algorithmiaio/algorithmia-adk-python
1e5c6b9de08fe34260f3b4c03eb4596cccb4d070
[ "MIT" ]
4
2021-03-15T16:51:27.000Z
2021-07-25T16:47:00.000Z
examples/hello_world/src/Algorithm.py
algorithmiaio/algorithmia-adk-python
1e5c6b9de08fe34260f3b4c03eb4596cccb4d070
[ "MIT" ]
2
2021-02-25T21:13:30.000Z
2021-05-03T14:49:41.000Z
examples/hello_world/src/Algorithm.py
algorithmiaio/algorithmia-adk-python
1e5c6b9de08fe34260f3b4c03eb4596cccb4d070
[ "MIT" ]
1
2021-03-02T00:06:55.000Z
2021-03-02T00:06:55.000Z
from Algorithmia import ADK # API calls will begin at the apply() method, with the request body passed as 'input' # For more details, see algorithmia.com/developers/algorithm-development/languages def apply(input): # If your apply function uses state that's loaded into memory via load, you can pass that loaded s...
44.421053
120
0.761848
131
844
4.908397
0.625954
0.041991
0.079316
0
0
0
0
0
0
0
0
0
0.170616
844
18
121
46.888889
0.918571
0.798578
0
0
0
0
0.118012
0
0
0
0
0
0
1
0.2
false
0
0.2
0.2
0.6
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
1
1
0
0
2
22fadcf738c9cad6b1e0cd6d9126f92326318681
1,088
py
Python
main.py
vu-telab/DAKOTA-moga-post-processing-tool
2f41561bd8ca44c693e5994f7f68a1edc1a82361
[ "MIT" ]
null
null
null
main.py
vu-telab/DAKOTA-moga-post-processing-tool
2f41561bd8ca44c693e5994f7f68a1edc1a82361
[ "MIT" ]
4
2017-02-06T18:20:25.000Z
2017-02-06T20:50:34.000Z
main.py
caseynbrock/DAKOTA-moga-post-processing-tool
2f41561bd8ca44c693e5994f7f68a1edc1a82361
[ "MIT" ]
null
null
null
# main.py # # currently just an example script I use to test my optimization_results module # # WARNING: design point numbers 0-indexed in pandas database, but # eval_id column is the original 1-indexed value given by DAKOTA import optimization_results as optr def main(): a4 = optr.MogaOptimizationResults() ...
35.096774
97
0.596507
156
1,088
4.012821
0.74359
0.086262
0.028754
0.041534
0
0
0
0
0
0
0
0.207692
0.283088
1,088
30
98
36.266667
0.594872
0.421875
0
0
0
0
0.01318
0
0
0
0
0
0.090909
0
null
null
0
0.090909
null
null
0.181818
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
2
fe099e17f120425cb619611e6ff40d2da802127d
3,572
py
Python
src/zope/app/content/__init__.py
zopefoundation/zope.app.content
d4c0276ff90bceed2156d808ab6b42b85d7b3810
[ "ZPL-2.1" ]
null
null
null
src/zope/app/content/__init__.py
zopefoundation/zope.app.content
d4c0276ff90bceed2156d808ab6b42b85d7b3810
[ "ZPL-2.1" ]
1
2017-04-22T19:53:21.000Z
2017-04-23T16:44:58.000Z
src/zope/app/content/__init__.py
zopefoundation/zope.app.content
d4c0276ff90bceed2156d808ab6b42b85d7b3810
[ "ZPL-2.1" ]
1
2015-04-03T07:35:01.000Z
2015-04-03T07:35:01.000Z
############################################################################## # # Copyright (c) 2002 Zope Foundation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOF...
27.060606
78
0.606663
367
3,572
5.798365
0.3297
0.033835
0.039944
0.054041
0.18562
0.148026
0.132989
0.132989
0.132989
0.132989
0
0.016643
0.226204
3,572
131
79
27.267176
0.753256
0.657335
0
0
0
0
0
0
0
0
0
0
0
1
0.111111
false
0
0.333333
0
0.722222
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
1
0
1
0
0
2
fe10f333391851cb33d5c6c2715480481922b0d0
2,993
py
Python
heat/tests/test_rpc_listener_client.py
noironetworks/heat
7cdadf1155f4d94cf8f967635b98e4012a7acfb7
[ "Apache-2.0" ]
1
2015-12-18T21:46:55.000Z
2015-12-18T21:46:55.000Z
heat/tests/test_rpc_listener_client.py
noironetworks/heat
7cdadf1155f4d94cf8f967635b98e4012a7acfb7
[ "Apache-2.0" ]
5
2019-08-14T06:46:03.000Z
2021-12-13T20:01:25.000Z
heat/tests/test_rpc_listener_client.py
noironetworks/heat
7cdadf1155f4d94cf8f967635b98e4012a7acfb7
[ "Apache-2.0" ]
3
2018-07-19T17:43:37.000Z
2019-11-15T22:13:30.000Z
# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the...
42.15493
74
0.687604
371
2,993
5.237197
0.293801
0.088008
0.061246
0.06176
0.647452
0.647452
0.647452
0.647452
0.610396
0.610396
0
0.007961
0.244571
2,993
70
75
42.757143
0.851393
0.173739
0
0.708333
0
0
0.078049
0.029268
0
0
0
0
0.208333
1
0.041667
false
0
0.104167
0
0.166667
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
fe116c1174a46647c502098395333cc909588b1c
684
py
Python
amadeus/travel/trip_parser_jobs/_status.py
akshitsingla/amadeus-python
d8f3595e556b674998156f98d8a318045bb4c21c
[ "MIT" ]
125
2018-04-09T07:27:24.000Z
2022-02-22T11:45:20.000Z
amadeus/travel/trip_parser_jobs/_status.py
akshitsingla/amadeus-python
d8f3595e556b674998156f98d8a318045bb4c21c
[ "MIT" ]
58
2018-03-29T14:58:01.000Z
2022-03-17T10:18:07.000Z
amadeus/travel/trip_parser_jobs/_status.py
akshitsingla/amadeus-python
d8f3595e556b674998156f98d8a318045bb4c21c
[ "MIT" ]
58
2018-04-06T10:56:20.000Z
2022-03-04T01:23:24.000Z
from amadeus.client.decorator import Decorator class TripParserStatus(Decorator, object): def __init__(self, client, job_id): Decorator.__init__(self, client) self.job_id = job_id def get(self, **params): ''' Returns the parsing status and the link to the result in cas...
28.5
76
0.627193
83
684
5
0.590361
0.048193
0.06747
0.096386
0
0
0
0
0
0
0
0.004008
0.270468
684
23
77
29.73913
0.827655
0.377193
0
0
0
0
0.085635
0.085635
0
0
0
0
0
1
0.222222
false
0
0.111111
0
0.555556
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
1
0
0
0
0
1
0
0
2
a3b55358fffe0e7cc61738673a1b1895170d48c3
9,891
py
Python
mbta_python/__init__.py
dougzor/mbta_python
f277f48f8bf8048cb5c9c6307e672c37292e57f7
[ "MIT" ]
null
null
null
mbta_python/__init__.py
dougzor/mbta_python
f277f48f8bf8048cb5c9c6307e672c37292e57f7
[ "MIT" ]
null
null
null
mbta_python/__init__.py
dougzor/mbta_python
f277f48f8bf8048cb5c9c6307e672c37292e57f7
[ "MIT" ]
null
null
null
import datetime import requests from mbta_python.models import Stop, Direction, Schedule, Mode, \ TripSchedule, Alert, StopWithMode, Prediction HOST = "http://realtime.mbta.com/developer/api/v2" def datetime_to_epoch(dt): epoch = datetime.datetime.utcfromtimestamp(0) return int((dt - epoch).total_second...
37.324528
83
0.586897
1,149
9,891
4.871192
0.142733
0.0268
0.023227
0.027872
0.750759
0.70377
0.67018
0.659103
0.637306
0.616223
0
0.003975
0.338692
9,891
264
84
37.465909
0.851705
0.387827
0
0.525926
0
0
0.126291
0.023783
0
0
0
0
0
1
0.103704
false
0
0.022222
0
0.22963
0
0
0
0
null
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
a3c068d2dc2c438793e5de5d6de56af20454dc8f
507
py
Python
diskcatalog/core/views.py
rywjhzd/Cataloging-and-Visualizing-Cradles-of-Planet-Formation
6d59ea9d9a07630721e19c554651bae2775962ac
[ "MIT" ]
null
null
null
diskcatalog/core/views.py
rywjhzd/Cataloging-and-Visualizing-Cradles-of-Planet-Formation
6d59ea9d9a07630721e19c554651bae2775962ac
[ "MIT" ]
null
null
null
diskcatalog/core/views.py
rywjhzd/Cataloging-and-Visualizing-Cradles-of-Planet-Formation
6d59ea9d9a07630721e19c554651bae2775962ac
[ "MIT" ]
null
null
null
from django.shortcuts import render from .models import Disk import os def index(request): context = {} disk_list = Disk.objects.all() context['disk_list'] = disk_list return render(request, 'index.html', context) #def index(request): # module_dir = os.path.dirname(__file__) # file_path = os.p...
25.35
53
0.672584
69
507
4.73913
0.405797
0.122324
0.137615
0.116208
0.214067
0.214067
0
0
0
0
0
0
0.185404
507
19
54
26.684211
0.791768
0.510848
0
0
0
0
0.078838
0
0
0
0
0
0
1
0.125
false
0
0.375
0
0.625
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
1
0
1
0
0
2
a3cae716974e2bebe27ab17e3253013ab6b42f7b
782
py
Python
dragontail/content/models/basicpage.py
tracon/dragontail
aae860acb5fe400015557f659b6d4221b939747a
[ "MIT" ]
null
null
null
dragontail/content/models/basicpage.py
tracon/dragontail
aae860acb5fe400015557f659b6d4221b939747a
[ "MIT" ]
null
null
null
dragontail/content/models/basicpage.py
tracon/dragontail
aae860acb5fe400015557f659b6d4221b939747a
[ "MIT" ]
null
null
null
# encoding: utf-8 from django.db import models from wagtail.wagtailcore.models import Page from wagtail.wagtailcore.fields import StreamField from wagtail.wagtailcore import blocks from wagtail.wagtailadmin.edit_handlers import FieldPanel, StreamFieldPanel from wagtail.wagtailimages.blocks import ImageChooserBlock ...
28.962963
75
0.742967
80
782
7.15
0.525
0.096154
0.115385
0
0
0
0
0
0
0
0
0.001548
0.173913
782
27
76
28.962963
0.883901
0.019182
0
0
0
0
0.023499
0
0
0
0
0
0
1
0.055556
false
0
0.388889
0
0.666667
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
1
0
1
0
0
2
a3d04895a38a041247e2747afe97c42331c17ee1
3,866
py
Python
src/mpass/mpass/migrations/0001_initial.py
haltu/velmu-mpass-demo
19eb0e14fa6710e4aee5d47c898cf570bf7621e5
[ "MIT" ]
null
null
null
src/mpass/mpass/migrations/0001_initial.py
haltu/velmu-mpass-demo
19eb0e14fa6710e4aee5d47c898cf570bf7621e5
[ "MIT" ]
11
2018-08-16T12:09:57.000Z
2018-08-22T14:26:15.000Z
src/mpass/mpass/migrations/0001_initial.py
haltu/velmu-mpass-demosp
31b609d1413ab1bd9f833f42eac30366a6d3e6d0
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by Django 1.11.10 on 2018-03-20 08:34 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion import parler.models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ ...
42.483516
180
0.58148
338
3,866
6.461538
0.289941
0.040293
0.045788
0.042125
0.64652
0.64652
0.56044
0.56044
0.5
0.5
0
0.014593
0.290998
3,866
90
181
42.955556
0.782196
0.017848
0
0.597561
1
0
0.191355
0.06932
0
0
0
0
0
1
0
false
0.060976
0.04878
0
0.097561
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
2
a3e0c5f65be532d1c0caf49217af9908f82568d1
574
py
Python
tests/test_comment.py
uwase-diane/min_pitch
514ab5da150244e900fd51b6563173a905ef4f29
[ "Unlicense" ]
1
2020-11-29T16:18:50.000Z
2020-11-29T16:18:50.000Z
tests/test_comment.py
uwase-diane/min_pitch
514ab5da150244e900fd51b6563173a905ef4f29
[ "Unlicense" ]
null
null
null
tests/test_comment.py
uwase-diane/min_pitch
514ab5da150244e900fd51b6563173a905ef4f29
[ "Unlicense" ]
null
null
null
import unittest from app.models import Comment, Pitch from app import db class TestPitchComment(unittest.TestCase): def setUp(self): self.new_pitch = Pitch(post = "doit", category='Quotes') self.new_comment = Comment(comment = "good comment", pitch=self.new_pitch) def test_instance(se...
33.764706
82
0.716028
74
574
5.405405
0.391892
0.1225
0.14
0.1575
0.2525
0
0
0
0
0
0
0
0.1777
574
17
83
33.764706
0.847458
0
0
0
0
0
0.067826
0
0
0
0
0
0.25
1
0.25
false
0
0.25
0
0.583333
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
1
0
0
0
0
1
0
0
2
a3eb6e2df01a9295d0fd4c9d2d237ab568ea9c17
62
py
Python
07/c/3 - Square Census.py
Surferlul/csc-python-solutions
bea99e5e1e344d17fb2cb29d8bcbc6b108e24cee
[ "MIT" ]
null
null
null
07/c/3 - Square Census.py
Surferlul/csc-python-solutions
bea99e5e1e344d17fb2cb29d8bcbc6b108e24cee
[ "MIT" ]
null
null
null
07/c/3 - Square Census.py
Surferlul/csc-python-solutions
bea99e5e1e344d17fb2cb29d8bcbc6b108e24cee
[ "MIT" ]
null
null
null
n=int(input()) c = 1 while c**2 < n: print(c**2) c += 1
10.333333
15
0.451613
14
62
2
0.571429
0.142857
0
0
0
0
0
0
0
0
0
0.090909
0.290323
62
5
16
12.4
0.545455
0
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0.2
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
a3f7032251ab8fdd92446dda433cb7125e3c866d
447
py
Python
examples/py/async-basic.py
voBits/ccxt
edd2dd92053bd06232769a63465a43912b21eda0
[ "MIT" ]
73
2018-05-15T00:53:50.000Z
2022-03-07T14:45:11.000Z
examples/py/async-basic.py
voBits/ccxt
edd2dd92053bd06232769a63465a43912b21eda0
[ "MIT" ]
46
2020-01-06T07:32:19.000Z
2021-07-26T06:33:33.000Z
examples/py/async-basic.py
voBits/ccxt
edd2dd92053bd06232769a63465a43912b21eda0
[ "MIT" ]
11
2018-05-15T00:09:30.000Z
2022-03-07T14:45:27.000Z
# -*- coding: utf-8 -*- import asyncio import os import sys root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) sys.path.append(root + '/python') import ccxt.async as ccxt # noqa: E402 async def test_gdax(): gdax = ccxt.gdax() markets = await gdax.load_markets() await g...
21.285714
83
0.695749
65
447
4.492308
0.569231
0.082192
0.133562
0.15411
0.15411
0.15411
0.15411
0.15411
0
0
0
0.01061
0.1566
447
20
84
22.35
0.763926
0.071588
0
0
0
0
0.036408
0
0
0
0
0
0
0
null
null
0
0.307692
null
null
0.076923
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
1
0
0
0
0
2
a3f86c1b680627a4f18d2261e3c26090baebd672
261
py
Python
xview/datasets/wrapper.py
ethz-asl/modular_semantic_segmentation
7c950f24df11540a7ddae4ff806d5b31934a3210
[ "BSD-3-Clause" ]
20
2018-08-01T15:02:59.000Z
2021-04-19T07:22:17.000Z
xview/datasets/wrapper.py
davesean/modular_semantic_segmentation
5f9e34243915b862e8fef5e6195f1e29f4cebf50
[ "BSD-3-Clause" ]
null
null
null
xview/datasets/wrapper.py
davesean/modular_semantic_segmentation
5f9e34243915b862e8fef5e6195f1e29f4cebf50
[ "BSD-3-Clause" ]
9
2018-08-01T15:03:03.000Z
2019-12-17T05:12:48.000Z
from abc import ABCMeta, abstractmethod class DataWrapper: """Interface for access to datasets.""" __metaclass__ = ABCMeta @abstractmethod def next(self): """Returns next minibatch for training.""" return NotImplementedError
20.076923
50
0.685824
25
261
7
0.84
0.24
0
0
0
0
0
0
0
0
0
0
0.233716
261
12
51
21.75
0.875
0.268199
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.833333
0
1
0
0
null
1
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
0
2
a3f937683bc5952ca13a05b1c4f5742ed9f21027
2,307
py
Python
partd/core.py
jrbourbeau/partd
74016a296a760de9c7a0e0d4b012a3478c9a0831
[ "BSD-3-Clause" ]
2
2018-12-29T13:47:40.000Z
2018-12-29T13:47:49.000Z
partd/core.py
jrbourbeau/partd
74016a296a760de9c7a0e0d4b012a3478c9a0831
[ "BSD-3-Clause" ]
2
2021-05-11T16:00:55.000Z
2021-08-23T20:45:22.000Z
partd/core.py
jrbourbeau/partd
74016a296a760de9c7a0e0d4b012a3478c9a0831
[ "BSD-3-Clause" ]
null
null
null
from __future__ import absolute_import import os import shutil import locket import string from toolz import memoize from contextlib import contextmanager from .utils import nested_get, flatten # http://stackoverflow.com/questions/295135/turn-a-string-into-a-valid-filename-in-python valid_chars = "-_.() " + string....
24.806452
89
0.604681
288
2,307
4.666667
0.34375
0.052083
0.035714
0.02381
0.154762
0.06994
0.06994
0.06994
0.06994
0.06994
0
0.004714
0.264413
2,307
92
90
25.076087
0.787272
0.118769
0
0.140351
0
0
0.003027
0
0
0
0
0
0
1
0.210526
false
0
0.140351
0.052632
0.614035
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
1
0
0
0
0
1
0
0
2
a3ff284c249c767a8e6d1b66a73bf03b2d790a9e
366
py
Python
packages/starcheck/post_regress.py
sot/ska_testr
dd84b89d0b5ebf6158c6cda4c1df432138044e20
[ "MIT" ]
null
null
null
packages/starcheck/post_regress.py
sot/ska_testr
dd84b89d0b5ebf6158c6cda4c1df432138044e20
[ "MIT" ]
27
2016-10-19T19:39:46.000Z
2022-03-04T14:56:40.000Z
packages/starcheck/post_regress.py
sot/ska_testr
dd84b89d0b5ebf6158c6cda4c1df432138044e20
[ "MIT" ]
null
null
null
import os from testr.packages import make_regress_files regress_files = ['starcheck.txt', 'starcheck/pcad_att_check.txt'] clean = {'starcheck.txt': [(r'\s*Run on.*[\n\r]*', ''), (os.environ['SKA'], '')], 'starcheck/pcad_att_check.txt': [(os.environ['SKA'], '')]} m...
30.5
67
0.592896
45
366
4.6
0.466667
0.231884
0.154589
0.222222
0.502415
0
0
0
0
0
0
0
0.215847
366
11
68
33.272727
0.721254
0
0
0
0
0
0.289617
0.153005
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4301cf37bd9ece6b54456c22562dfc5aa8e8a7cb
748
py
Python
product_details/utils.py
gene1wood/django-product-details
53f245d76fa11d073ba686e0ece7b0293ec21942
[ "BSD-3-Clause" ]
null
null
null
product_details/utils.py
gene1wood/django-product-details
53f245d76fa11d073ba686e0ece7b0293ec21942
[ "BSD-3-Clause" ]
null
null
null
product_details/utils.py
gene1wood/django-product-details
53f245d76fa11d073ba686e0ece7b0293ec21942
[ "BSD-3-Clause" ]
null
null
null
from django.conf import settings from django.core.exceptions import ImproperlyConfigured from product_details import settings_defaults def settings_fallback(key): """Grab user-defined settings, or fall back to default.""" try: return getattr(settings, key) except (AttributeError, ImportError, Imp...
29.92
63
0.720588
91
748
5.802198
0.43956
0.075758
0.079545
0.07197
0.094697
0
0
0
0
0
0
0.003401
0.213904
748
24
64
31.166667
0.894558
0.156417
0
0.117647
0
0
0
0
0
0
0
0
0
1
0.117647
false
0
0.411765
0
0.823529
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
1
0
1
0
0
2
430bbb9266cf6f1301fe26015af1bcd016d7ae1a
862
py
Python
src/gauss_n.py
Konstantysz/InterGen
1a1d0bde165f864daea70c6339a9b8426343fdd9
[ "MIT" ]
null
null
null
src/gauss_n.py
Konstantysz/InterGen
1a1d0bde165f864daea70c6339a9b8426343fdd9
[ "MIT" ]
null
null
null
src/gauss_n.py
Konstantysz/InterGen
1a1d0bde165f864daea70c6339a9b8426343fdd9
[ "MIT" ]
null
null
null
from numba import jit import numpy as np @jit(nopython=True, parallel=True) def gauss_n(X, Y, mu_x = 0.0, mu_y = 0.0, amp = 1.0, sigma = 3.0): ''' Function that generates 2D discrete gaussian distribution. Boosted with Numba: works in C and with parallel computing. Parameters ---------- X : nu...
26.121212
66
0.598608
120
862
4.241667
0.441667
0.157171
0.086444
0.11002
0.117878
0
0
0
0
0
0
0.021595
0.301624
862
33
67
26.121212
0.82392
0.588167
0
0
1
0
0
0
0
0
0
0
0
1
0.142857
false
0
0.285714
0
0.571429
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
2
430f3dd58c283b4aea777f240b325f4a7f3a3026
332
py
Python
run.py
seanzhangJM/torch_model_demo
3ab3e841e77cf780198516c1910c906acdd3082d
[ "MIT" ]
null
null
null
run.py
seanzhangJM/torch_model_demo
3ab3e841e77cf780198516c1910c906acdd3082d
[ "MIT" ]
null
null
null
run.py
seanzhangJM/torch_model_demo
3ab3e841e77cf780198516c1910c906acdd3082d
[ "MIT" ]
null
null
null
#!/usr/bin/env python # _*_ coding: utf-8 _*_ # @Time : 2021/12/27 14:04 # @Author : zhangjianming # @Email : YYDSPanda@163.com # @File : run_task.py # @Software: PyCharm import sys sys.path.extend(["."]) from torch_model_demo.task.run_task import train_fashion_demo if __name__ == '__main__': train_fas...
19.529412
61
0.683735
47
332
4.404255
0.808511
0.067633
0.154589
0
0
0
0
0
0
0
0
0.057971
0.168675
332
16
62
20.75
0.692029
0.5
0
0
0
0
0.056604
0
0
0
0
0
0
1
0
true
0
0.4
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
1
0
1
0
0
0
0
2
43118cb0eb019b0c97db7741f34ce6ca041f8dc1
296
py
Python
ASR_TransV1/Load_sp_model.py
HariKrishna-Vydana/ASR_Transformer
a37dc7f1add148b14ca1d265d72fc4e9d9dd0fc0
[ "MIT" ]
1
2020-10-25T00:21:40.000Z
2020-10-25T00:21:40.000Z
ASR_TransV1/Load_sp_model.py
HariKrishna-Vydana/ASR_Transformer
a37dc7f1add148b14ca1d265d72fc4e9d9dd0fc0
[ "MIT" ]
null
null
null
ASR_TransV1/Load_sp_model.py
HariKrishna-Vydana/ASR_Transformer
a37dc7f1add148b14ca1d265d72fc4e9d9dd0fc0
[ "MIT" ]
1
2021-09-08T10:32:55.000Z
2021-09-08T10:32:55.000Z
#!/usr/bin/python import sys import os from os.path import join, isdir import sentencepiece as spm #-------------------------- def Load_sp_models(PATH): PATH_model = spm.SentencePieceProcessor() PATH_model.Load(join(PATH)) return PATH_model #--------------------------
19.733333
49
0.581081
34
296
4.911765
0.588235
0.161677
0
0
0
0
0
0
0
0
0
0
0.172297
296
14
50
21.142857
0.681633
0.22973
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0.5
0
0.75
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
1
0
1
0
0
2
4312500ffaaa31023ff14a2c64c200a842122fb2
2,213
py
Python
fiepipedesktoplib/gitlabserver/shell/manager.py
leith-bartrich/fiepipe_desktop
5136141d67a59e9a2afb79f368a6a02f2d61d2da
[ "MIT" ]
null
null
null
fiepipedesktoplib/gitlabserver/shell/manager.py
leith-bartrich/fiepipe_desktop
5136141d67a59e9a2afb79f368a6a02f2d61d2da
[ "MIT" ]
null
null
null
fiepipedesktoplib/gitlabserver/shell/manager.py
leith-bartrich/fiepipe_desktop
5136141d67a59e9a2afb79f368a6a02f2d61d2da
[ "MIT" ]
null
null
null
import typing from fiepipelib.gitlabserver.data.gitlab_server import GitLabServer from fiepipelib.gitlabserver.routines.manager import GitLabServerManagerInteractiveRoutines from fiepipedesktoplib.gitlabserver.shell.gitlab_hostname_input_ui import GitLabHostnameInputDefaultShellUI from fiepipedesktoplib.gitlabserver.s...
49.177778
129
0.770899
197
2,213
8.390863
0.335025
0.101633
0.099819
0.114943
0.079855
0
0
0
0
0
0
0.001089
0.169905
2,213
44
130
50.295455
0.898748
0.019431
0
0
0
0
0.021679
0
0
0
0
0
0
1
0.15625
false
0
0.34375
0.0625
0.65625
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
1
0
1
0
0
2
4312e79aaad5f7fe2f84f838da0893835b628082
470
py
Python
fairseq/models/wav2vec/eteh_model/transformer/repeat.py
gaochangfeng/fairseq
70a468230b8fb558caa394322b02fface663e17a
[ "MIT" ]
null
null
null
fairseq/models/wav2vec/eteh_model/transformer/repeat.py
gaochangfeng/fairseq
70a468230b8fb558caa394322b02fface663e17a
[ "MIT" ]
null
null
null
fairseq/models/wav2vec/eteh_model/transformer/repeat.py
gaochangfeng/fairseq
70a468230b8fb558caa394322b02fface663e17a
[ "MIT" ]
null
null
null
import torch class MultiSequential(torch.nn.Sequential): """Multi-input multi-output torch.nn.Sequential""" def forward(self, *args): for m in self: args = m(*args) return args def repeat(N, fn): """repeat module N times :param int N: repeat time :param function fn:...
21.363636
54
0.634043
61
470
4.885246
0.52459
0.04698
0.114094
0
0
0
0
0
0
0
0
0
0.255319
470
21
55
22.380952
0.851429
0.406383
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.125
0
0.75
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
1
0
0
0
0
1
0
0
2
431afd38b43ccf5ad48d645a4d0327a638eb0852
441
py
Python
dbestclient/ml/density.py
horeapinca/DBEstClient
6ccbb24853c31f2a8cc567e03c09ca7aa31e2d26
[ "BSD-2-Clause" ]
null
null
null
dbestclient/ml/density.py
horeapinca/DBEstClient
6ccbb24853c31f2a8cc567e03c09ca7aa31e2d26
[ "BSD-2-Clause" ]
null
null
null
dbestclient/ml/density.py
horeapinca/DBEstClient
6ccbb24853c31f2a8cc567e03c09ca7aa31e2d26
[ "BSD-2-Clause" ]
1
2020-09-28T14:22:54.000Z
2020-09-28T14:22:54.000Z
# Created by Qingzhi Ma at 2019-07-23 # All right reserved # Department of Computer Science # the University of Warwick # Q.Ma.2@warwick.ac.uk from sklearn.neighbors import KernelDensity class DBEstDensity: def __init__(self, kernel=None): if kernel is None: self.kernel = 'gaussian' s...
24.5
59
0.671202
62
441
4.709677
0.66129
0.10274
0
0
0
0
0
0
0
0
0
0.026786
0.238095
441
18
60
24.5
0.842262
0.29932
0
0
0
0
0.026316
0
0
0
0
0
0
1
0.222222
false
0
0.111111
0
0.555556
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
1
0
0
0
0
1
0
0
2
43278d398c31ca35a7dadee17fca420abdd89662
608
py
Python
api/urls.py
nf1s/covid-backend
5529cccad2b0b596d8a720fd6211035e6376820f
[ "MIT" ]
null
null
null
api/urls.py
nf1s/covid-backend
5529cccad2b0b596d8a720fd6211035e6376820f
[ "MIT" ]
1
2020-03-21T16:20:28.000Z
2020-03-21T16:20:28.000Z
api/urls.py
ahmednafies/covid-backend
5529cccad2b0b596d8a720fd6211035e6376820f
[ "MIT" ]
null
null
null
from sanic import Blueprint from sanic_transmute import add_route from .views import ( get_all, get_status_by_country_id, get_status_by_country_name, get_deaths, get_active_cases, get_recovered_cases, get_confirmed_cases, list_countries, ) cases = Blueprint("cases", url_prefix="/cases")...
26.434783
47
0.804276
93
608
4.774194
0.258065
0.162162
0.234234
0.252252
0.38964
0.13964
0.13964
0
0
0
0
0
0.121711
608
22
48
27.636364
0.831461
0
0
0
0
0
0.018092
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.142857
0.095238
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
432938f7572380d6dce4bd872cd6f38e7889cce7
863
py
Python
app/migrations/0005_auto_20210619_2310.py
hungitptit/boecdjango
a1125bd292b5fd3a0610eda6e592017f8268c96c
[ "MIT" ]
null
null
null
app/migrations/0005_auto_20210619_2310.py
hungitptit/boecdjango
a1125bd292b5fd3a0610eda6e592017f8268c96c
[ "MIT" ]
null
null
null
app/migrations/0005_auto_20210619_2310.py
hungitptit/boecdjango
a1125bd292b5fd3a0610eda6e592017f8268c96c
[ "MIT" ]
null
null
null
# Generated by Django 3.2.4 on 2021-06-19 16:10 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('app', '0004_auto_20210619_1802'), ] operations = [ migrations.AddField( model_name='comment', ...
27.83871
116
0.602549
93
863
5.408602
0.537634
0.107356
0.137177
0.161034
0.357853
0.357853
0
0
0
0
0
0.054927
0.282735
863
30
117
28.766667
0.757674
0.052144
0
0.375
1
0
0.110294
0.028186
0
0
0
0
0
1
0
false
0
0.083333
0
0.208333
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
432e74ae233189ec17dd1f03b1127352c4327439
1,518
py
Python
courses/models.py
Biswa5812/CaramelIT-Django-Backend
1f896cb75295d17345a862b99837f0bdf60868b4
[ "MIT" ]
1
2021-08-06T08:36:40.000Z
2021-08-06T08:36:40.000Z
courses/models.py
Biswa5812/CaramelIT-Django-Backend
1f896cb75295d17345a862b99837f0bdf60868b4
[ "MIT" ]
7
2021-04-08T21:58:03.000Z
2022-01-13T03:09:17.000Z
courses/models.py
Biswa5812/CaramelIT-Django-Backend
1f896cb75295d17345a862b99837f0bdf60868b4
[ "MIT" ]
3
2020-07-21T07:01:31.000Z
2021-01-16T10:47:30.000Z
from django.db import models from django.utils import timezone # Course Category class Course_category(models.Model): category_id = models.AutoField(primary_key=True) category_name = models.CharField(max_length=100) date_of_creation = models.DateTimeField(default=timezone.now) # Course Subcategory class ...
42.166667
81
0.78722
189
1,518
6.100529
0.232804
0.117086
0.140503
0.187337
0.510841
0.510841
0.457069
0.355594
0.311362
0.311362
0
0.018713
0.119895
1,518
35
82
43.371429
0.844311
0.038208
0
0.296296
0
0
0.002062
0
0
0
0
0
0
1
0
false
0
0.074074
0
1
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
2
43335b3cc2cb4c21d4856a039a41d9b440f02982
951
py
Python
Dominant_cell.py
xi6th/Python_Algorithm
05852b6fe133df2d83ae464b779b0818b173919d
[ "MIT" ]
null
null
null
Dominant_cell.py
xi6th/Python_Algorithm
05852b6fe133df2d83ae464b779b0818b173919d
[ "MIT" ]
null
null
null
Dominant_cell.py
xi6th/Python_Algorithm
05852b6fe133df2d83ae464b779b0818b173919d
[ "MIT" ]
null
null
null
#!/bin/python3 import math import os import random import re import sys from typing import Counter # # Complete the 'numCells' function below. # # The function is expected to return an INTEGER. # The function accepts 2D_INTEGER_ARRAY grid as parameter. # def numCells(grid): # Write your code here n = [] ...
19.8125
63
0.602524
125
951
4.464
0.592
0.064516
0.046595
0.060932
0
0
0
0
0
0
0
0.015385
0.24816
951
47
64
20.234043
0.765035
0.599369
0
0
0
0
0
0
0
0
0
0.021277
0
1
0.0625
false
0
0.375
0
0.4375
0.0625
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
1
0
0
0
0
0
1
0
0
0
0
2
433a593c55202319269a697379cad0ea0390e623
555
py
Python
applications/serializers.py
junlegend/back-landing-career
cfc01b439629e48ff058fa1693af8d5a3a37949a
[ "MIT" ]
null
null
null
applications/serializers.py
junlegend/back-landing-career
cfc01b439629e48ff058fa1693af8d5a3a37949a
[ "MIT" ]
null
null
null
applications/serializers.py
junlegend/back-landing-career
cfc01b439629e48ff058fa1693af8d5a3a37949a
[ "MIT" ]
null
null
null
from rest_framework import serializers from applications.models import Application class ApplicationSerializer(serializers.Serializer): content = serializers.JSONField() portfolio = serializers.FileField() class ApplicationAdminSerializer(serializers.ModelSerializer): class Meta: model = Appli...
32.647059
86
0.736937
47
555
8.638298
0.574468
0.128079
0.152709
0.172414
0.280788
0.280788
0.280788
0
0
0
0
0
0.172973
555
17
87
32.647059
0.884532
0
0
0.307692
0
0
0.091727
0
0
0
0
0
0
1
0
false
0
0.153846
0
0.692308
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
2
4a36242f8ee5ebc5d59f9cbb0e67fddbadbb4a7c
729
py
Python
questionanswering/models/pooling.py
lvying1991/KBQA-System
55e69c8320df3f7b199860afc76e8a0ab66f540e
[ "Apache-2.0" ]
2
2019-09-10T13:20:27.000Z
2019-11-14T12:58:40.000Z
questionanswering/models/pooling.py
lvying1991/KBQA-System
55e69c8320df3f7b199860afc76e8a0ab66f540e
[ "Apache-2.0" ]
null
null
null
questionanswering/models/pooling.py
lvying1991/KBQA-System
55e69c8320df3f7b199860afc76e8a0ab66f540e
[ "Apache-2.0" ]
null
null
null
import torch from torch import nn as nn from torch import autograd class LogSumExpPooling1d(nn.Module): """Applies a 1D LogSumExp pooling over an input signal composed of several input planes. LogSumExp is a smooth approximation of the max function. 在由多个输入平面组成的输入信号上应用1D LogSumExp池。 LogSumExp是max函数的平滑近...
25.137931
92
0.650206
87
729
5.195402
0.632184
0.039823
0.066372
0
0
0
0
0
0
0
0
0.018116
0.242798
729
28
93
26.035714
0.800725
0.430727
0
0
0
0
0.005319
0
0
0
0
0
0
1
0.230769
false
0
0.230769
0.076923
0.692308
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
1
0
0
0
0
1
0
0
2
4a548d3916f1d9f7cfe21d9195722cae0fa08812
5,094
py
Python
sympy/series/tests/test_demidovich.py
msgoff/sympy
1e7daef7514902f5e89718fa957b7b36c6669a10
[ "BSD-3-Clause" ]
null
null
null
sympy/series/tests/test_demidovich.py
msgoff/sympy
1e7daef7514902f5e89718fa957b7b36c6669a10
[ "BSD-3-Clause" ]
null
null
null
sympy/series/tests/test_demidovich.py
msgoff/sympy
1e7daef7514902f5e89718fa957b7b36c6669a10
[ "BSD-3-Clause" ]
null
null
null
from sympy import ( limit, Symbol, oo, sqrt, Rational, log, exp, cos, sin, tan, pi, asin, together, root, S, ) # Numbers listed with the tests refer to problem numbers in the book # "Anti-demidovich, problemas resueltos, Ed. URSS" x = Symbol("x") def test_...
30.686747
86
0.458186
886
5,094
2.594808
0.145598
0.248804
0.024358
0.07438
0.286646
0.110483
0.035668
0.020009
0.020009
0
0
0.118101
0.313506
5,094
165
87
30.872727
0.539319
0.085395
0
0.076923
0
0
0.001957
0
0
0
0
0
0.461538
1
0.162393
false
0
0.008547
0.017094
0.188034
0
0
0
0
null
1
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
1
0
0
0
0
0
0
0
0
0
2
4a618ed57cbfdde42c612f538425cdaf22f7923a
20,082
py
Python
yandex/cloud/access/access_pb2.py
IIKovalenko/python-sdk
980e2c5d848eadb42799132b35a9f58ab7b27157
[ "MIT" ]
1
2019-06-07T10:45:58.000Z
2019-06-07T10:45:58.000Z
yandex/cloud/access/access_pb2.py
IIKovalenko/python-sdk
980e2c5d848eadb42799132b35a9f58ab7b27157
[ "MIT" ]
null
null
null
yandex/cloud/access/access_pb2.py
IIKovalenko/python-sdk
980e2c5d848eadb42799132b35a9f58ab7b27157
[ "MIT" ]
null
null
null
# Generated by the protocol buffer compiler. DO NOT EDIT! # source: yandex/cloud/access/access.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf i...
40.900204
1,963
0.7684
2,376
20,082
6.204545
0.100589
0.034731
0.065731
0.039886
0.651404
0.609212
0.518926
0.469271
0.447565
0.443495
0
0.045196
0.105368
20,082
490
1,964
40.983673
0.775353
0.044517
0
0.623288
1
0.015982
0.23245
0.191196
0
0
0
0
0
1
0
false
0
0.015982
0
0.015982
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4aa67ef1976bb462a8e4797f9376dea3623f23b3
4,432
py
Python
test/test_random.py
kevinintel/neural-compressor
b57645566aeff8d3c18dc49d2739a583c072f940
[ "Apache-2.0" ]
100
2020-12-01T02:40:12.000Z
2021-09-09T08:14:22.000Z
test/test_random.py
kevinintel/neural-compressor
b57645566aeff8d3c18dc49d2739a583c072f940
[ "Apache-2.0" ]
25
2021-01-05T00:16:17.000Z
2021-09-10T03:24:01.000Z
test/test_random.py
kevinintel/neural-compressor
b57645566aeff8d3c18dc49d2739a583c072f940
[ "Apache-2.0" ]
25
2020-12-01T19:07:08.000Z
2021-08-30T14:20:07.000Z
"""Tests for quantization""" import numpy as np import unittest import os import shutil import yaml import tensorflow as tf def build_fake_yaml(): fake_yaml = ''' model: name: fake_yaml framework: tensorflow inputs: x outputs: op_to_store dev...
32.115942
108
0.559792
495
4,432
4.818182
0.252525
0.036897
0.022642
0.055346
0.761426
0.748008
0.695178
0.695178
0.695178
0.695178
0
0.02168
0.333935
4,432
137
109
32.350365
0.786247
0.004964
0
0.573913
0
0
0.243262
0
0
0
0
0
0
1
0.06087
false
0
0.086957
0
0.165217
0
0
0
0
null
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4aa9bbcefe6db481163c6d0a501873756cbebc17
565
py
Python
src/sentry/receivers/experiments.py
FelixSchwarz/sentry
7c92c4fa2b6b9f214764f48c82594acae1549e52
[ "BSD-3-Clause" ]
null
null
null
src/sentry/receivers/experiments.py
FelixSchwarz/sentry
7c92c4fa2b6b9f214764f48c82594acae1549e52
[ "BSD-3-Clause" ]
null
null
null
src/sentry/receivers/experiments.py
FelixSchwarz/sentry
7c92c4fa2b6b9f214764f48c82594acae1549e52
[ "BSD-3-Clause" ]
null
null
null
from __future__ import print_function, absolute_import from sentry import analytics from sentry.signals import join_request_created, join_request_link_viewed @join_request_created.connect(weak=False) def record_join_request_created(member, **kwargs): analytics.record( "join_request.created", member_id=me...
33.235294
91
0.823009
74
565
5.878378
0.310811
0.202299
0.165517
0.193103
0.473563
0.305747
0.165517
0
0
0
0
0
0.095575
565
16
92
35.3125
0.851272
0
0
0
0
0
0.077876
0.042478
0
0
0
0
0
1
0.181818
false
0
0.272727
0
0.454545
0.090909
0
0
0
null
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4abeb59415a08109665cd4a0b2b19c7296f2ab4d
6,316
py
Python
src/abaqus/Material/Elastic/Linear/Elastic.py
Haiiliin/PyAbaqus
f20db6ebea19b73059fe875a53be370253381078
[ "MIT" ]
7
2022-01-21T09:15:45.000Z
2022-02-15T09:31:58.000Z
src/abaqus/Material/Elastic/Linear/Elastic.py
Haiiliin/PyAbaqus
f20db6ebea19b73059fe875a53be370253381078
[ "MIT" ]
null
null
null
src/abaqus/Material/Elastic/Linear/Elastic.py
Haiiliin/PyAbaqus
f20db6ebea19b73059fe875a53be370253381078
[ "MIT" ]
null
null
null
from abaqusConstants import * from .FailStrain import FailStrain from .FailStress import FailStress class Elastic: """The Elastic object specifies elastic material properties. Notes ----- This object can be accessed by: .. code-block:: python import material ...
32.22449
103
0.572198
681
6,316
5.28928
0.249633
0.033037
0.061355
0.070794
0.53859
0.507496
0.461133
0.425597
0.396446
0.396446
0
0.039389
0.356871
6,316
195
104
32.389744
0.847366
0.773908
0
0.166667
0
0
0
0
0
0
0
0
0
1
0.166667
false
0.166667
0.25
0
0.666667
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
1
0
0
1
0
0
2
4ac2c45edfed557313913a01b6d6e982c2b62143
858
py
Python
setup.py
methane/pymemcache
0ff5430cdcef7ed52fb3edc2a90c1c7d208ad77f
[ "Apache-2.0" ]
null
null
null
setup.py
methane/pymemcache
0ff5430cdcef7ed52fb3edc2a90c1c7d208ad77f
[ "Apache-2.0" ]
null
null
null
setup.py
methane/pymemcache
0ff5430cdcef7ed52fb3edc2a90c1c7d208ad77f
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python from setuptools import setup, find_packages from pymemcache import __version__ setup( name = 'pymemcache', version = __version__, author = 'Charles Gordon', author_email = 'charles@pinterest.com', packages = find_packages(), tests_require = ['nose>=1.0'], install_req...
29.586207
72
0.632867
90
858
5.877778
0.622222
0.143667
0.189036
0.098299
0
0
0
0
0
0
0
0.015106
0.228438
858
28
73
30.642857
0.783988
0.02331
0
0
0
0
0.456938
0.02512
0
0
0
0
0
1
0
true
0
0.086957
0
0.086957
0
0
0
0
null
0
1
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
1
0
0
0
0
0
0
2
4ac74e03723bd148ef8b0804cbefc4d25af183f4
2,577
py
Python
orders/views.py
DobromirZlatkov/anteya
9c66c64643350ad1710bcf60e2e38169e389a66b
[ "MIT" ]
null
null
null
orders/views.py
DobromirZlatkov/anteya
9c66c64643350ad1710bcf60e2e38169e389a66b
[ "MIT" ]
null
null
null
orders/views.py
DobromirZlatkov/anteya
9c66c64643350ad1710bcf60e2e38169e389a66b
[ "MIT" ]
null
null
null
from django.core.urlresolvers import reverse_lazy from django.views import generic from django.shortcuts import redirect, render from django.http import HttpResponseRedirect from django.core.urlresolvers import reverse from . import forms from . import models from custommixins import mixins class OrderView(generic.V...
37.897059
102
0.67404
296
2,577
5.753378
0.236486
0.095126
0.075161
0.051674
0.72108
0.702877
0.617146
0.617146
0.617146
0.557252
0
0
0.215367
2,577
67
103
38.462687
0.842235
0
0
0.538462
0
0
0.083818
0.01785
0
0
0
0
0
1
0.076923
false
0
0.153846
0
0.519231
0
0
0
0
null
0
0
0
0
1
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
1
0
0
2
434a5580172de0ca0736b7166ab6de48eed316fe
121
py
Python
output/models/ms_data/regex/re_g22_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
1
2021-08-14T17:59:21.000Z
2021-08-14T17:59:21.000Z
output/models/ms_data/regex/re_g22_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
4
2020-02-12T21:30:44.000Z
2020-04-15T20:06:46.000Z
output/models/ms_data/regex/re_g22_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
null
null
null
from output.models.ms_data.regex.re_g22_xsd.re_g22 import ( Regex, Doc, ) __all__ = [ "Regex", "Doc", ]
12.1
59
0.603306
17
121
3.823529
0.705882
0.153846
0
0
0
0
0
0
0
0
0
0.043956
0.247934
121
9
60
13.444444
0.67033
0
0
0
0
0
0.066116
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
434c335f1ca44ae4f15f8789642b629548cea61b
659
py
Python
students/K33402/Akhmetzhanov Alisher/lr2/main/forms.py
AlishKZ/ITMO_ICT_WebDevelopment_2020-2021
b3ce82e17392d26d815e64343f5103f1bd46cd81
[ "MIT" ]
null
null
null
students/K33402/Akhmetzhanov Alisher/lr2/main/forms.py
AlishKZ/ITMO_ICT_WebDevelopment_2020-2021
b3ce82e17392d26d815e64343f5103f1bd46cd81
[ "MIT" ]
null
null
null
students/K33402/Akhmetzhanov Alisher/lr2/main/forms.py
AlishKZ/ITMO_ICT_WebDevelopment_2020-2021
b3ce82e17392d26d815e64343f5103f1bd46cd81
[ "MIT" ]
null
null
null
from django.db.models import fields from main.models import RoomReservation, UserRoom from django import forms from django.core.exceptions import ValidationError from django.contrib.auth import authenticate, login from django.contrib.auth import get_user_model class ReservateRoomForm(forms.Form): begin_date = for...
31.380952
75
0.775417
79
659
6.379747
0.518987
0.099206
0.06746
0.083333
0.107143
0
0
0
0
0
0
0.0053
0.141123
659
20
76
32.95
0.885159
0
0
0
0
0
0.027314
0
0
0
0
0
0
1
0
false
0
0.375
0
0.875
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
1
0
1
0
0
2
43580621cfd0f7e6c205651bbcde02772c3c846a
628
py
Python
subs2srs/gui/state.py
TFarla/subs2srs-cross-platform
79158a313ca4099adb20df97207b19d7bc948697
[ "MIT" ]
3
2020-07-04T22:34:50.000Z
2020-08-10T18:18:51.000Z
subs2srs/gui/state.py
TFarla/subs2srs-cross-platform
79158a313ca4099adb20df97207b19d7bc948697
[ "MIT" ]
5
2020-07-04T08:34:36.000Z
2021-05-19T01:27:04.000Z
subs2srs/gui/state.py
TFarla/subs2srs-cross-platform
79158a313ca4099adb20df97207b19d7bc948697
[ "MIT" ]
null
null
null
from typing import List from subs2srs.core.preview_item import PreviewItem class StatePreview: items: List[PreviewItem] = [] inactive_items = set() def __init__(self): super().__init__() self.items = [] self.inactive_items = set() self.audio = None class State: deck_...
27.304348
93
0.694268
74
628
5.675676
0.540541
0.064286
0.142857
0.207143
0.309524
0.309524
0.309524
0.309524
0.309524
0.309524
0
0.009881
0.194268
628
22
94
28.545455
0.820158
0
0
0
0
0
0.296178
0.296178
0
0
0
0
0
1
0.058824
false
0
0.117647
0
0.764706
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
2
4366c0b4bfc3d82921cf8860654a9fdf8156bfc0
893
py
Python
src/states.py
amancevice/terraform-aws-slack-interactive-components
819a9b6a408b36cd1a0100859801bc47c437fdc8
[ "MIT" ]
24
2018-10-17T04:42:56.000Z
2022-03-03T10:27:56.000Z
src/states.py
amancevice/terraform-aws-slack-interactive-components
819a9b6a408b36cd1a0100859801bc47c437fdc8
[ "MIT" ]
5
2019-03-01T17:14:48.000Z
2022-01-21T23:11:39.000Z
src/states.py
amancevice/terraform-aws-slack-interactive-components
819a9b6a408b36cd1a0100859801bc47c437fdc8
[ "MIT" ]
11
2019-03-01T15:16:24.000Z
2022-03-03T10:27:59.000Z
import boto3 from logger import logger class States: def __init__(self, boto3_session=None): self.boto3_session = boto3_session or boto3.Session() self.client = self.boto3_session.client('stepfunctions') def fail(self, task_token, error, cause): params = dict(taskToken=task_token, er...
35.72
69
0.693169
116
893
5.163793
0.275862
0.09015
0.080134
0.115192
0.345576
0.205342
0.205342
0.205342
0.205342
0
0
0.008345
0.194849
893
24
70
37.208333
0.824757
0
0
0
0
0
0.083987
0
0
0
0
0
0
1
0.222222
false
0
0.111111
0
0.555556
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
1
0
0
0
0
1
0
0
2
436a24c432c8bd3a3066c5adcc757a189d209bf5
332
py
Python
utils/path_utils.py
kuyu12/pygame_fight_game
3bbc286b9f33c6d6d9db9bea21f9b7af15247df5
[ "MIT" ]
1
2020-08-03T07:54:59.000Z
2020-08-03T07:54:59.000Z
utils/path_utils.py
kuyu12/pygame_fight_game
3bbc286b9f33c6d6d9db9bea21f9b7af15247df5
[ "MIT" ]
null
null
null
utils/path_utils.py
kuyu12/pygame_fight_game
3bbc286b9f33c6d6d9db9bea21f9b7af15247df5
[ "MIT" ]
null
null
null
import sys IMAGES_PATH = sys.path[1] + "/Images" BACKGROUND_IMAGES_PATH = IMAGES_PATH + '/background' USER_INFO_BACKGROUND_PATH = BACKGROUND_IMAGES_PATH+"/blue_background.jpg" SPRINT_IMAGE_PATH = IMAGES_PATH + '/sprite' PROFILE_IMAGES_PATH = IMAGES_PATH + '/profile' CONFIGURATION_FILES_PATH = sys.path[1] + "/configur...
36.888889
73
0.795181
44
332
5.568182
0.363636
0.285714
0.171429
0.097959
0
0
0
0
0
0
0
0.006645
0.093373
332
9
74
36.888889
0.807309
0
0
0
0
0
0.219219
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.142857
0
0
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
437984a8785d9b1726c62d66ab94644c9b6578d8
5,275
py
Python
CAutomation/settings.py
Rich9rd/CAutomation
d1c1b963e806a216d4c825243c1c405336414413
[ "MIT" ]
null
null
null
CAutomation/settings.py
Rich9rd/CAutomation
d1c1b963e806a216d4c825243c1c405336414413
[ "MIT" ]
null
null
null
CAutomation/settings.py
Rich9rd/CAutomation
d1c1b963e806a216d4c825243c1c405336414413
[ "MIT" ]
null
null
null
""" Django settings for CAutomation project. Generated by 'django-admin startproject' using Django 3.2.4. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """ from pat...
27.473958
178
0.714123
578
5,275
6.351211
0.435986
0.060202
0.047943
0.054481
0.137565
0.126124
0.083628
0.083628
0.043585
0
0
0.022322
0.159242
5,275
191
179
27.617801
0.805412
0.250427
0
0.02521
1
0.016807
0.539383
0.441244
0
0
0
0
0
1
0
false
0.042017
0.02521
0
0.02521
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
1
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4389b795742ce4092fa55a8e1be92e8c6adf1239
2,945
py
Python
neutron/plugins/ofagent/agent/ports.py
armando-migliaccio/neutron-1
e31861c15bc73e65a7c22212df2a56f9e45aa0e4
[ "Apache-2.0" ]
null
null
null
neutron/plugins/ofagent/agent/ports.py
armando-migliaccio/neutron-1
e31861c15bc73e65a7c22212df2a56f9e45aa0e4
[ "Apache-2.0" ]
null
null
null
neutron/plugins/ofagent/agent/ports.py
armando-migliaccio/neutron-1
e31861c15bc73e65a7c22212df2a56f9e45aa0e4
[ "Apache-2.0" ]
null
null
null
# Copyright (C) 2014 VA Linux Systems Japan K.K. # Copyright (C) 2014 YAMAMOTO Takashi <yamamoto at valinux co jp> # 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...
33.089888
78
0.69202
428
2,945
4.586449
0.408879
0.089659
0.024452
0.016302
0.117168
0.076414
0.051961
0.051961
0.051961
0.051961
0
0.00873
0.222071
2,945
88
79
33.465909
0.848101
0.568761
0
0.166667
0
0
0.015358
0
0
0
0
0
0
1
0.222222
false
0
0
0.027778
0.527778
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
1
0
0
0
0
1
0
0
2
438cea957a4d584b046abd2a8ee5c64fd504407c
1,168
py
Python
pipeline/validators/handlers.py
ZhuoZhuoCrayon/bk-nodeman
76cb71fcc971c2a0c2be161fcbd6b019d4a7a8ab
[ "MIT" ]
31
2021-07-28T13:06:11.000Z
2022-03-10T12:16:44.000Z
pipeline/validators/handlers.py
ZhuoZhuoCrayon/bk-nodeman
76cb71fcc971c2a0c2be161fcbd6b019d4a7a8ab
[ "MIT" ]
483
2021-07-29T03:17:44.000Z
2022-03-31T13:03:04.000Z
pipeline/validators/handlers.py
ZhuoZhuoCrayon/bk-nodeman
76cb71fcc971c2a0c2be161fcbd6b019d4a7a8ab
[ "MIT" ]
29
2021-07-28T13:06:21.000Z
2022-03-25T06:18:18.000Z
# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in co...
46.72
115
0.808219
178
1,168
5.179775
0.623596
0.065076
0.032538
0.048807
0.074837
0
0
0
0
0
0
0.010816
0.129281
1,168
24
116
48.666667
0.895772
0.618151
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0.5
0
0.625
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
1
0
1
0
0
2
43a01f33e82c9b00675c1f842c3ac9effea08533
7,335
py
Python
api/config.py
sumesh-aot/namex
53e11aed5ea550b71b7b983f1b57b65db5a06766
[ "Apache-2.0" ]
1
2020-03-23T21:43:15.000Z
2020-03-23T21:43:15.000Z
api/config.py
sumesh-aot/namex
53e11aed5ea550b71b7b983f1b57b65db5a06766
[ "Apache-2.0" ]
null
null
null
api/config.py
sumesh-aot/namex
53e11aed5ea550b71b7b983f1b57b65db5a06766
[ "Apache-2.0" ]
null
null
null
"""Config for initializing the namex-api.""" import os from dotenv import find_dotenv, load_dotenv # this will load all the envars from a .env file located in the project root (api) load_dotenv(find_dotenv()) CONFIGURATION = { 'development': 'config.DevConfig', 'testing': 'config.TestConfig', 'production...
43.402367
210
0.718609
765
7,335
6.588235
0.288889
0.063492
0.031746
0.02381
0.35377
0.314881
0.248611
0.248611
0.248611
0.248611
0
0.052597
0.180913
7,335
168
211
43.660714
0.786285
0.112474
0
0.264
0
0
0.479228
0.353668
0
0
0
0
0
1
0
false
0.056
0.016
0
0.504
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
1
0
0
1
0
0
2
43a26f9573c5f714eb41be0b40f5f0e94681fe54
1,013
py
Python
gfworkflow/core.py
andersonbrands/gfworkflow
81c646fd53b8227691bcd3e236f538fee0d9d93c
[ "MIT" ]
null
null
null
gfworkflow/core.py
andersonbrands/gfworkflow
81c646fd53b8227691bcd3e236f538fee0d9d93c
[ "MIT" ]
null
null
null
gfworkflow/core.py
andersonbrands/gfworkflow
81c646fd53b8227691bcd3e236f538fee0d9d93c
[ "MIT" ]
null
null
null
import re import subprocess as sp from typing import Union, List from gfworkflow.exceptions import RunCommandException def run(command: Union[str, List[str]]): completed_process = sp.run(command, stdout=sp.PIPE, stderr=sp.PIPE, universal_newlines=True) if completed_process.returncode: raise RunComman...
25.974359
96
0.722606
145
1,013
4.924138
0.482759
0.089636
0.039216
0.053221
0.05042
0
0
0
0
0
0
0.001163
0.151037
1,013
38
97
26.657895
0.82907
0
0
0
0
0
0.266535
0.04541
0
0
0
0
0
1
0.304348
false
0
0.173913
0.043478
0.608696
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
1
0
0
0
0
1
0
0
2
43a4f6e31b5eece16d50c0585d3ecac08d080d46
5,919
py
Python
orio/module/loop/cfg.py
zhjp0/Orio
7dfb80527053c5697d1bce1bd8ed996b1ea192c8
[ "MIT" ]
null
null
null
orio/module/loop/cfg.py
zhjp0/Orio
7dfb80527053c5697d1bce1bd8ed996b1ea192c8
[ "MIT" ]
null
null
null
orio/module/loop/cfg.py
zhjp0/Orio
7dfb80527053c5697d1bce1bd8ed996b1ea192c8
[ "MIT" ]
null
null
null
''' Created on April 26, 2015 @author: norris ''' import ast, sys, os, traceback from orio.main.util.globals import * from orio.tool.graphlib import graph from orio.module.loop import astvisitors class CFGVertex(graph.Vertex): '''A CFG vertex is a basic block.''' def __init__(self, name, node=None): t...
32.521978
107
0.478459
665
5,919
4.133835
0.216541
0.055657
0.04729
0.02801
0.268825
0.224809
0.204074
0.184431
0.157512
0.157512
0
0.003687
0.404291
5,919
181
108
32.701657
0.77595
0.047643
0
0.288889
0
0
0.034062
0.012386
0
0
0
0.005525
0
0
null
null
0.051852
0.02963
null
null
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
1
0
0
1
0
0
0
0
0
2
43a848be2ab70fca075a6b29e18609d29a8a5a7d
1,109
py
Python
newsapp/migrations/0003_news.py
adi112100/newsapp
7cdf6070299b4a8dcc950e7fcdfb82cf1a1d98cb
[ "MIT" ]
null
null
null
newsapp/migrations/0003_news.py
adi112100/newsapp
7cdf6070299b4a8dcc950e7fcdfb82cf1a1d98cb
[ "MIT" ]
null
null
null
newsapp/migrations/0003_news.py
adi112100/newsapp
7cdf6070299b4a8dcc950e7fcdfb82cf1a1d98cb
[ "MIT" ]
null
null
null
# Generated by Django 3.0.8 on 2020-07-11 08:10 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('newsapp', '0002_auto_20200711_1124'), ] operations = [ migrations.CreateModel( name='News', fields=[ ...
34.65625
114
0.538323
95
1,109
6.105263
0.557895
0.189655
0.360345
0
0
0
0
0
0
0
0
0.040736
0.313796
1,109
31
115
35.774194
0.721419
0.040577
0
0
1
0
0.176083
0.021657
0
0
0
0
0
1
0
false
0
0.04
0
0.16
0
0
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
43ad3e59d1619acb8d9309d2b2e5ad3161003839
2,664
py
Python
tests/selenium/test_about/test_about_page.py
technolotrix/tests
ae5b9741e80a1fd735c66de93cc014f672c5afb2
[ "Apache-2.0" ]
null
null
null
tests/selenium/test_about/test_about_page.py
technolotrix/tests
ae5b9741e80a1fd735c66de93cc014f672c5afb2
[ "Apache-2.0" ]
null
null
null
tests/selenium/test_about/test_about_page.py
technolotrix/tests
ae5b9741e80a1fd735c66de93cc014f672c5afb2
[ "Apache-2.0" ]
null
null
null
import unittest from selenium import webdriver import page class AboutPage(unittest.TestCase): def setUp(self): self.driver = webdriver.Firefox() self.driver.get("http://nicolesmith.nyc") #self.driver.get("http://127.0.0.1:4747/about") self.about_page = page.AboutPage(self.driver) ...
36
98
0.703453
375
2,664
4.736
0.205333
0.111486
0.124437
0.141892
0.463964
0.351914
0.178491
0.158784
0.114865
0
0
0.007401
0.188438
2,664
74
99
36
0.814061
0.035285
0
0.06383
0
0
0.232051
0
0
0
0
0
0.255319
1
0.382979
false
0
0.06383
0.085106
0.553191
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
1
0
0
0
0
1
0
0
2
43b1df830b2abdb7a53300c3467f70be764c0f6f
1,235
py
Python
k_values_graph.py
leobouts/Skyline_top_k_queries
5f5e8ab8f5e521dc20f33a69dd042917ff5d42f0
[ "MIT" ]
null
null
null
k_values_graph.py
leobouts/Skyline_top_k_queries
5f5e8ab8f5e521dc20f33a69dd042917ff5d42f0
[ "MIT" ]
null
null
null
k_values_graph.py
leobouts/Skyline_top_k_queries
5f5e8ab8f5e521dc20f33a69dd042917ff5d42f0
[ "MIT" ]
null
null
null
from a_top_k import * from b_top_k import * import time def main(): # test the generator for the top-k input # starting time values_k = [1, 2, 5, 10, 20, 50, 100] times_topk_join_a = [] times_topk_join_b = [] number_of_valid_lines_a = [] number_of_valid_lines_b = [] for k in values_...
24.7
70
0.673684
202
1,235
3.564356
0.20297
0.133333
0.216667
0.3
0.525
0.35
0.175
0.175
0.175
0.077778
0
0.012862
0.244534
1,235
49
71
25.204082
0.758842
0.042105
0
0.125
0
0
0.006785
0
0
0
0
0
0
1
0.03125
false
0
0.09375
0
0.125
0.125
0
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
43c14b71a9e55a3f072d7e8094c999b91490df88
507
py
Python
python_clean_architecture/use_cases/orderdata_use_case.py
jfsolarte/python_clean_architecture
56b0c0eff50bc98774a0caee12e3030789476687
[ "MIT" ]
null
null
null
python_clean_architecture/use_cases/orderdata_use_case.py
jfsolarte/python_clean_architecture
56b0c0eff50bc98774a0caee12e3030789476687
[ "MIT" ]
null
null
null
python_clean_architecture/use_cases/orderdata_use_case.py
jfsolarte/python_clean_architecture
56b0c0eff50bc98774a0caee12e3030789476687
[ "MIT" ]
null
null
null
from python_clean_architecture.shared import use_case as uc from python_clean_architecture.shared import response_object as res class OrderDataGetUseCase(uc.UseCase): def __init__(self, repo): self.repo = repo def execute(self, request_object): #if not request_object: #return res...
31.6875
89
0.755424
64
507
5.671875
0.515625
0.179063
0.082645
0.14876
0.214876
0.214876
0
0
0
0
0
0
0.179487
507
16
90
31.6875
0.872596
0.193294
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.25
0
0.75
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
1
0
0
0
0
1
0
0
2
43c4a0c547cce9ae68639184c6cd8640efc21e50
857
py
Python
tests/metarl/tf/baselines/test_baselines.py
neurips2020submission11699/metarl
ae4825d21478fa1fd0aa6b116941ea40caa152a5
[ "MIT" ]
2
2021-02-07T12:14:52.000Z
2021-07-29T08:07:22.000Z
tests/metarl/tf/baselines/test_baselines.py
neurips2020submission11699/metarl
ae4825d21478fa1fd0aa6b116941ea40caa152a5
[ "MIT" ]
null
null
null
tests/metarl/tf/baselines/test_baselines.py
neurips2020submission11699/metarl
ae4825d21478fa1fd0aa6b116941ea40caa152a5
[ "MIT" ]
null
null
null
""" This script creates a test that fails when metarl.tf.baselines failed to initialize. """ import tensorflow as tf from metarl.envs import MetaRLEnv from metarl.tf.baselines import ContinuousMLPBaseline from metarl.tf.baselines import GaussianMLPBaseline from tests.fixtures import TfGraphTestCase from tests.fixtures...
31.740741
76
0.772462
102
857
6.284314
0.5
0.037442
0.079563
0.065523
0.162246
0
0
0
0
0
0
0.001381
0.155193
857
26
77
32.961538
0.883978
0.13769
0
0
0
0
0
0
0
0
0
0
0
1
0.066667
false
0
0.4
0
0.533333
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
1
0
1
0
0
2
43d418c8d833bba41481c7b2cbeab0fbbe8f44c5
548
py
Python
example/example.py
saravanabalagi/imshowtools
ea81af888c69223ff8b42b5c4b8c034483eebe21
[ "MIT" ]
4
2019-07-18T17:24:02.000Z
2020-10-14T06:09:05.000Z
example/example.py
saravanabalagi/imshowtools
ea81af888c69223ff8b42b5c4b8c034483eebe21
[ "MIT" ]
1
2020-04-18T01:05:22.000Z
2020-04-18T01:10:53.000Z
example/example.py
saravanabalagi/imshowtools
ea81af888c69223ff8b42b5c4b8c034483eebe21
[ "MIT" ]
null
null
null
from imshowtools import imshow import cv2 if __name__ == '__main__': image_lenna = cv2.imread("lenna.png") imshow(image_lenna, mode='BGR', window_title="LennaWindow", title="Lenna") image_lenna_bgr = cv2.imread("lenna_bgr.png") imshow(image_lenna, image_lenna_bgr, mode=['BGR', 'RGB'], title=['lenna_...
39.142857
109
0.678832
82
548
4.231707
0.329268
0.201729
0.184438
0.129683
0.204611
0.149856
0
0
0
0
0
0.038298
0.142336
548
13
110
42.153846
0.7
0
0
0
0
0
0.171533
0
0
0
0
0
0
1
0
false
0
0.222222
0
0.222222
0
0
0
0
null
1
1
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
0
2
78db1f0ed3fd45150eca94cbff8fdb625dd1d917
156
py
Python
testData/completion/classMethodCls.py
seandstewart/typical-pycharm-plugin
4f6ec99766239421201faae9d75c32fa0ee3565a
[ "MIT" ]
null
null
null
testData/completion/classMethodCls.py
seandstewart/typical-pycharm-plugin
4f6ec99766239421201faae9d75c32fa0ee3565a
[ "MIT" ]
null
null
null
testData/completion/classMethodCls.py
seandstewart/typical-pycharm-plugin
4f6ec99766239421201faae9d75c32fa0ee3565a
[ "MIT" ]
null
null
null
from builtins import * from pydantic import BaseModel class A(BaseModel): abc: str @classmethod def test(cls): return cls.<caret>
11.142857
30
0.647436
19
156
5.315789
0.789474
0
0
0
0
0
0
0
0
0
0
0
0.275641
156
13
31
12
0.893805
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
0
0.285714
null
null
0
1
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
1
0
0
0
0
0
0
0
0
2
78ddef69c8c618801719da4ee218c45f1df458b0
25,941
py
Python
mars/tensor/execution/tests/test_base_execute.py
lmatz/mars
45f9166b54eb91b21e66cef8b590a41aa8ac9569
[ "Apache-2.0" ]
1
2018-12-26T08:37:04.000Z
2018-12-26T08:37:04.000Z
mars/tensor/execution/tests/test_base_execute.py
lmatz/mars
45f9166b54eb91b21e66cef8b590a41aa8ac9569
[ "Apache-2.0" ]
null
null
null
mars/tensor/execution/tests/test_base_execute.py
lmatz/mars
45f9166b54eb91b21e66cef8b590a41aa8ac9569
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2018 Alibaba Group Holding 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-...
34.132895
110
0.596623
3,879
25,941
3.909255
0.068317
0.072804
0.11402
0.150026
0.761343
0.739976
0.710367
0.672118
0.615273
0.577025
0
0.050625
0.247677
25,941
759
111
34.177866
0.726378
0.024402
0
0.428571
0
0
0.002175
0
0
0
0
0
0.223092
1
0.062622
false
0
0.017613
0
0.082192
0
0
0
0
null
0
0
0
0
1
1
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
0
2
78df11b8ab67a00fef993f03b911ed0dd7fc3180
707
py
Python
src/python_minifier/transforms/remove_pass.py
donno2048/python-minifier
9a9ff4dd5d2bb8dc666cae5939c125d420c2ffd5
[ "MIT" ]
null
null
null
src/python_minifier/transforms/remove_pass.py
donno2048/python-minifier
9a9ff4dd5d2bb8dc666cae5939c125d420c2ffd5
[ "MIT" ]
null
null
null
src/python_minifier/transforms/remove_pass.py
donno2048/python-minifier
9a9ff4dd5d2bb8dc666cae5939c125d420c2ffd5
[ "MIT" ]
null
null
null
import ast from python_minifier.transforms.suite_transformer import SuiteTransformer class RemovePass(SuiteTransformer): """ Remove Pass keywords from source If a statement is syntactically necessary, use an empty expression instead """ def __call__(self, node): return self.visit(node) ...
27.192308
106
0.649222
90
707
4.955556
0.566667
0.073991
0
0
0
0
0
0
0
0
0
0.00381
0.257426
707
25
107
28.28
0.845714
0.152758
0
0
0
0
0
0
0
0
0
0
0
1
0.153846
false
0.307692
0.153846
0.076923
0.692308
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
1
0
0
1
0
0
2
78e0a22b8b4b6603603bcdb8feefa51265cf9c14
345
py
Python
src/backend/common/models/favorite.py
ofekashery/the-blue-alliance
df0e47d054161fe742ac6198a6684247d0713279
[ "MIT" ]
266
2015-01-04T00:10:48.000Z
2022-03-28T18:42:05.000Z
src/backend/common/models/favorite.py
ofekashery/the-blue-alliance
df0e47d054161fe742ac6198a6684247d0713279
[ "MIT" ]
2,673
2015-01-01T20:14:33.000Z
2022-03-31T18:17:16.000Z
src/backend/common/models/favorite.py
ofekashery/the-blue-alliance
df0e47d054161fe742ac6198a6684247d0713279
[ "MIT" ]
230
2015-01-04T00:10:48.000Z
2022-03-26T18:12:04.000Z
from backend.common.models.mytba import MyTBAModel class Favorite(MyTBAModel): """ In order to make strongly consistent DB requests, instances of this class should be created with a parent that is the associated Account key. """ def __init__(self, *args, **kwargs): super(Favorite, self)._...
28.75
77
0.704348
45
345
5.222222
0.844444
0.085106
0
0
0
0
0
0
0
0
0
0
0.202899
345
11
78
31.363636
0.854545
0.408696
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.25
0
0.75
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
1
0
0
0
0
1
0
0
2
78e3d8480adc030df86059c4a34f7c8aad96d287
306
py
Python
day1/loops.py
alqmy/The-Garage-Summer-Of-Code
af310d5e5194a62962db2fc1e601099468251efa
[ "MIT" ]
null
null
null
day1/loops.py
alqmy/The-Garage-Summer-Of-Code
af310d5e5194a62962db2fc1e601099468251efa
[ "MIT" ]
null
null
null
day1/loops.py
alqmy/The-Garage-Summer-Of-Code
af310d5e5194a62962db2fc1e601099468251efa
[ "MIT" ]
null
null
null
# while True: # # ejecuta esto # print("Hola") real = 7 print("Entre un numero entre el 1 y el 10") guess = int(input()) # =/= while guess != real: print("Ese no es el numero") print("Entre un numero entre el 1 y el 10") guess = int(input()) # el resto print("Yay! Lo sacastes!")
16.105263
47
0.591503
49
306
3.693878
0.510204
0.110497
0.132597
0.198895
0.486188
0.486188
0.486188
0.486188
0.486188
0.486188
0
0.030837
0.25817
306
18
48
17
0.76652
0.199346
0
0.5
0
0
0.436975
0
0
0
0
0
0
1
0
false
0
0
0
0
0.5
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
2
78f362e6e499abd6ba76d1b520e7369bf25061c9
257
py
Python
retrieval/urls.py
aipassio/visual_retrieval
ce8dae2ad517a9edb5e278163dd6d0f7ffc1b5f4
[ "MIT" ]
null
null
null
retrieval/urls.py
aipassio/visual_retrieval
ce8dae2ad517a9edb5e278163dd6d0f7ffc1b5f4
[ "MIT" ]
null
null
null
retrieval/urls.py
aipassio/visual_retrieval
ce8dae2ad517a9edb5e278163dd6d0f7ffc1b5f4
[ "MIT" ]
null
null
null
from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), path('retrieval_insert', views.retrieval_insert, name='retrieval_insert'), path('retrieval_get', views.retrieval_get, name='retrieval_get') ]
28.555556
78
0.723735
32
257
5.625
0.375
0.25
0
0
0
0
0
0
0
0
0
0
0.132296
257
9
79
28.555556
0.807175
0
0
0
0
0
0.244186
0
0
0
0
0
0
1
0
false
0
0.285714
0
0.285714
0
0
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
78f63355867462f1a454c939b07a72f40e12bd55
955
py
Python
src/net/pluto_ftp.py
WardenAllen/Uranus
0d20cac631320b558254992c17678ddd1658587b
[ "MIT" ]
null
null
null
src/net/pluto_ftp.py
WardenAllen/Uranus
0d20cac631320b558254992c17678ddd1658587b
[ "MIT" ]
null
null
null
src/net/pluto_ftp.py
WardenAllen/Uranus
0d20cac631320b558254992c17678ddd1658587b
[ "MIT" ]
null
null
null
# !/usr/bin/python # -*- coding: utf-8 -*- # @Time : 2020/9/18 12:02 # @Author : WardenAllen # @File : pluto_ftp.py # @Brief : import paramiko class PlutoFtp : # paramiko's Sftp() object. __sftp = object def connect_by_pass(self, host, port, uname, pwd): transport = paramiko.Transport(...
31.833333
73
0.655497
123
955
4.894309
0.414634
0.053156
0.039867
0.056478
0.378738
0.378738
0.378738
0.378738
0.209302
0
0
0.015979
0.213613
955
30
74
31.833333
0.785619
0.157068
0
0.25
0
0
0
0
0
0
0
0
0
1
0.25
false
0.25
0.0625
0
0.4375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
1
0
0
0
0
0
2
78ff50d0ef3b81ac606726766e87dc4af67964c3
480
py
Python
test.py
KipCrossing/Micropython-AD9833
c684f5a9543bc5b67dcbf357c50f4d8f4057b2bf
[ "MIT" ]
11
2018-12-13T23:39:18.000Z
2022-02-24T11:59:36.000Z
test.py
KipCrossing/Micropython-AD9833
c684f5a9543bc5b67dcbf357c50f4d8f4057b2bf
[ "MIT" ]
1
2019-12-02T20:54:05.000Z
2019-12-04T00:34:25.000Z
test.py
KipCrossing/Micropython-AD9833
c684f5a9543bc5b67dcbf357c50f4d8f4057b2bf
[ "MIT" ]
2
2019-05-03T10:58:36.000Z
2020-02-20T10:21:43.000Z
from ad9833 import AD9833 # DUMMY classes for testing without board class SBI(object): def __init__(self): pass def send(self, data): print(data) class Pin(object): def __init__(self): pass def low(self): print(" 0") def high(self): prin...
13.333333
41
0.566667
63
480
4.142857
0.539683
0.068966
0.099617
0.130268
0.183908
0.183908
0
0
0
0
0
0.073171
0.316667
480
35
42
13.714286
0.722561
0.091667
0
0.2
0
0
0.078522
0
0
0
0
0
0
1
0.25
false
0.1
0.05
0
0.4
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
1
0
1
0
0
0
0
0
2
600fae89534379bad1faa45aa725f0ecd7646d79
142
py
Python
util/infoclient/test_infoclient.py
cdla/murfi2
45dba5eb90e7f573f01706a50e584265f0f8ffa7
[ "Apache-2.0" ]
7
2015-02-10T17:00:49.000Z
2021-07-27T22:09:43.000Z
util/infoclient/test_infoclient.py
cdla/murfi2
45dba5eb90e7f573f01706a50e584265f0f8ffa7
[ "Apache-2.0" ]
11
2015-02-22T19:15:53.000Z
2021-08-04T17:26:18.000Z
util/infoclient/test_infoclient.py
cdla/murfi2
45dba5eb90e7f573f01706a50e584265f0f8ffa7
[ "Apache-2.0" ]
8
2015-07-06T22:31:51.000Z
2019-04-22T21:22:07.000Z
from infoclientLib import InfoClient ic = InfoClient('localhost', 15002, 'localhost', 15003) ic.add('roi-weightedave', 'active') ic.start()
20.285714
55
0.739437
17
142
6.176471
0.764706
0
0
0
0
0
0
0
0
0
0
0.07874
0.105634
142
6
56
23.666667
0.748032
0
0
0
0
0
0.278571
0
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
6012d662e5b654522d75f6dba733bb788998a6c0
812
py
Python
python/10.Authentication-&-API-Keys.py
17nikhil/codecademy
58fbd652691c9df8139544965ebb0e9748142538
[ "Apache-2.0" ]
null
null
null
python/10.Authentication-&-API-Keys.py
17nikhil/codecademy
58fbd652691c9df8139544965ebb0e9748142538
[ "Apache-2.0" ]
null
null
null
python/10.Authentication-&-API-Keys.py
17nikhil/codecademy
58fbd652691c9df8139544965ebb0e9748142538
[ "Apache-2.0" ]
1
2018-10-03T14:36:31.000Z
2018-10-03T14:36:31.000Z
# Authentication & API Keys # Many APIs require an API key. Just as a real-world key allows you to access something, an API key grants you access to a particular API. Moreover, an API key identifies you to the API, which helps the API provider keep track of how their service is used and prevent unauthorized or maliciou...
81.2
303
0.777094
145
812
4.344828
0.655172
0.038095
0.038095
0
0
0
0
0
0
0
0
0
0.181034
812
9
304
90.222222
0.947368
0.958128
0
0
0
0
0.222222
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
601874835949dbb0ebb74e3019f720313e38011d
2,763
py
Python
quadpy/triangle/cools_haegemans.py
melvyniandrag/quadpy
ae28fc17351be8e76909033f03d71776c7ef8280
[ "MIT" ]
1
2019-01-02T19:04:42.000Z
2019-01-02T19:04:42.000Z
quadpy/triangle/cools_haegemans.py
melvyniandrag/quadpy
ae28fc17351be8e76909033f03d71776c7ef8280
[ "MIT" ]
null
null
null
quadpy/triangle/cools_haegemans.py
melvyniandrag/quadpy
ae28fc17351be8e76909033f03d71776c7ef8280
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # from mpmath import mp from .helpers import untangle2 class CoolsHaegemans(object): """ R. Cools, A. Haegemans, Construction of minimal cubature formulae for the square and the triangle using invariant theory, Department of Computer Science, K.U.Leuven, TW Reports vol...
38.375
108
0.534202
249
2,763
5.883534
0.481928
0.040956
0.028669
0.008191
0.008191
0.008191
0.008191
0.008191
0
0
0
0.496973
0.342381
2,763
71
109
38.915493
0.309301
0.396308
0
0.119048
0
0
0.25386
0.240889
0
0
0
0
0.02381
1
0.02381
false
0
0.047619
0
0.119048
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
603b5710a40e621c6b937d72101edf1cadc2be7f
5,089
py
Python
test/test_airfoil.py
chabotsi/pygmsh
f2c26d9193c63efd9fa7676ea0860a18de7e8b52
[ "MIT" ]
null
null
null
test/test_airfoil.py
chabotsi/pygmsh
f2c26d9193c63efd9fa7676ea0860a18de7e8b52
[ "MIT" ]
null
null
null
test/test_airfoil.py
chabotsi/pygmsh
f2c26d9193c63efd9fa7676ea0860a18de7e8b52
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # import numpy import pygmsh from helpers import compute_volume def test(): # Airfoil coordinates airfoil_coordinates = numpy.array([ [1.000000, 0.000000, 0.0], [0.999023, 0.000209, 0.0], [0.996095, 0.000832, 0.0], [0.991228, 0.001...
31.608696
69
0.503046
792
5,089
3.184343
0.353535
0.160983
0.117764
0.011102
0.012688
0.012688
0
0
0
0
0
0.457405
0.294164
5,089
160
70
31.80625
0.24471
0.041265
0
0.028169
0
0
0.008622
0
0
0
0
0
0.007042
1
0.007042
false
0
0.028169
0
0.042254
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
60484feb7046b3c272c1b83d25957af04879dd6e
4,681
py
Python
sppas/sppas/src/anndata/aio/__init__.py
mirfan899/MTTS
3167b65f576abcc27a8767d24c274a04712bd948
[ "MIT" ]
null
null
null
sppas/sppas/src/anndata/aio/__init__.py
mirfan899/MTTS
3167b65f576abcc27a8767d24c274a04712bd948
[ "MIT" ]
null
null
null
sppas/sppas/src/anndata/aio/__init__.py
mirfan899/MTTS
3167b65f576abcc27a8767d24c274a04712bd948
[ "MIT" ]
null
null
null
# -*- coding: UTF-8 -*- """ .. --------------------------------------------------------------------- ___ __ __ __ ___ / | \ | \ | \ / the automatic \__ |__/ |__/ |___| \__ annotation and \ | | | | \ ...
36.858268
216
0.554582
512
4,681
4.925781
0.394531
0.009516
0.015464
0.022601
0.083267
0.065028
0.035686
0.035686
0.035686
0.035686
0
0.003203
0.199744
4,681
126
217
37.150794
0.670048
0.384106
0
0
0
0
0.326916
0.033055
0
0
0
0.007937
0
1
0
false
0.115942
0.304348
0
0.304348
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
1
0
0
0
0
2
6049a1eccd8b14db6687d766205e1b913a98cd6d
226
py
Python
models/__init__.py
dapengchen123/hfsoftmax
467bd90814abdf3e5ad8384e6e05749172b68ae6
[ "MIT" ]
1
2018-10-11T09:27:53.000Z
2018-10-11T09:27:53.000Z
models/__init__.py
dapengchen123/hfsoftmax
467bd90814abdf3e5ad8384e6e05749172b68ae6
[ "MIT" ]
null
null
null
models/__init__.py
dapengchen123/hfsoftmax
467bd90814abdf3e5ad8384e6e05749172b68ae6
[ "MIT" ]
null
null
null
from .resnet import * from .hynet import * from .classifier import Classifier, HFClassifier, HNSWClassifier from .ext_layers import ParameterClient samplerClassifier = { 'hf': HFClassifier, 'hnsw': HNSWClassifier, }
20.545455
64
0.756637
22
226
7.727273
0.590909
0.117647
0
0
0
0
0
0
0
0
0
0
0.159292
226
10
65
22.6
0.894737
0
0
0
0
0
0.026549
0
0
0
0
0
0
1
0
false
0
0.5
0
0.5
0
1
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
1
0
0
0
0
2