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
d4e5eafe4afd758e689ee350b5806e71a9026c73
909
py
Python
tests/test_sic_code_generation.py
zheyu-wang-tony/datahub
40bcf2e225f74c914afee6843ace11a8dea20bf9
[ "Apache-2.0" ]
null
null
null
tests/test_sic_code_generation.py
zheyu-wang-tony/datahub
40bcf2e225f74c914afee6843ace11a8dea20bf9
[ "Apache-2.0" ]
null
null
null
tests/test_sic_code_generation.py
zheyu-wang-tony/datahub
40bcf2e225f74c914afee6843ace11a8dea20bf9
[ "Apache-2.0" ]
null
null
null
import numpy as np import datahub_core.generators as gen def test_correct_number_of_rows_are_generated(): df = gen.generate( props={ 'region': gen.choice( data=['EMEA', 'LATAM', 'NAM', 'APAC'], weights=[0.1, 0.1, 0.3, 0.5]), 'sic_range' : gen.sic_rang...
33.666667
65
0.558856
114
909
4.254386
0.491228
0.098969
0.074227
0.080412
0.078351
0.078351
0
0
0
0
0
0.029231
0.284928
909
26
66
34.961538
0.716923
0
0
0
1
0
0.129813
0
0
0
0
0
0
1
0.043478
false
0
0.086957
0
0.130435
0.043478
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
d4e7d49b94e831e768ea54a74ff873a068634296
6,076
py
Python
python/osmosis_proto/cosmos/mint/v1beta1/__init__.py
fabio-nukui/osmosis.proto
4780f22681881626b853109971602a6e29a3fb69
[ "Apache-2.0" ]
1
2022-02-22T06:18:40.000Z
2022-02-22T06:18:40.000Z
python/osmosis_proto/cosmos/mint/v1beta1/__init__.py
fabio-nukui/osmosis.proto
4780f22681881626b853109971602a6e29a3fb69
[ "Apache-2.0" ]
null
null
null
python/osmosis_proto/cosmos/mint/v1beta1/__init__.py
fabio-nukui/osmosis.proto
4780f22681881626b853109971602a6e29a3fb69
[ "Apache-2.0" ]
null
null
null
# Generated by the protocol buffer compiler. DO NOT EDIT! # sources: cosmos/mint/v1beta1/genesis.proto, cosmos/mint/v1beta1/mint.proto, cosmos/mint/v1beta1/query.proto # plugin: python-betterproto from dataclasses import dataclass from typing import Dict import betterproto from betterproto.grpc.grpclib_server import ...
31.319588
109
0.697498
631
6,076
6.600634
0.196513
0.051861
0.036735
0.043217
0.510444
0.365666
0.32581
0.254502
0.20024
0.092197
0
0.006912
0.214286
6,076
193
110
31.481865
0.865522
0.216425
0
0.41
1
0
0.082612
0.070502
0
0
0
0
0
1
0.01
false
0.03
0.05
0.01
0.34
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
0
0
0
1
d4eebeb2e6022fc50324794387473bfbe5ccc98d
350
py
Python
gizmo/handlers.py
davebshow/gizmo
d1679da0ec12e72e0fb1b4dd3e7d9a60ddb6b34a
[ "MIT" ]
2
2015-04-15T20:20:50.000Z
2015-04-27T17:25:12.000Z
gizmo/handlers.py
davebshow/gizmo
d1679da0ec12e72e0fb1b4dd3e7d9a60ddb6b34a
[ "MIT" ]
null
null
null
gizmo/handlers.py
davebshow/gizmo
d1679da0ec12e72e0fb1b4dd3e7d9a60ddb6b34a
[ "MIT" ]
null
null
null
""" gizmo.handlers This module defines error handlers for the websockets and the Gremlin Server. """ from .exceptions import RequestError, GremlinServerError def status_error_handler(status_code, message): if status_code < 500: raise RequestError(status_code, message) else: raise GremlinServ...
23.333333
77
0.757143
41
350
6.317073
0.634146
0.15444
0.196911
0
0
0
0
0
0
0
0
0.010417
0.177143
350
14
78
25
0.888889
0.265714
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.333333
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
0
0
0
0
0
0
0
1
d4f168286f4450ea231b83f4df5f0b3c19650036
1,809
py
Python
messages/mockMsg_pb2.py
HarvardURC/MATE_ROV
30f7dc3a1caa6532e5cd44e3029de5353e79d656
[ "MIT" ]
1
2018-04-09T00:57:10.000Z
2018-04-09T00:57:10.000Z
messages/mockMsg_pb2.py
HarvardURC/MATE_ROV
30f7dc3a1caa6532e5cd44e3029de5353e79d656
[ "MIT" ]
27
2017-10-03T02:02:32.000Z
2018-04-09T19:44:41.000Z
messages/mockMsg_pb2.py
HarvardURC/MATE_ROV
30f7dc3a1caa6532e5cd44e3029de5353e79d656
[ "MIT" ]
1
2017-10-27T01:39:31.000Z
2017-10-27T01:39:31.000Z
# Generated by the protocol buffer compiler. DO NOT EDIT! # source: mockMsg.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _refle...
25.842857
112
0.751244
225
1,809
5.768889
0.453333
0.038521
0.069337
0.09245
0.052388
0
0
0
0
0
0
0.022886
0.130459
1,809
69
113
26.217391
0.802289
0.113322
0
0.12
1
0.02
0.130788
0.065707
0
0
0
0
0
1
0
false
0
0.12
0
0.12
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
d4f2ca97d1338400f63496bfbc5dfde96b794db1
1,682
py
Python
coreservices/partsrelationshipservice/connectors_scripts/consume_artifact.py
Agera-CatenaX/SpikeEclipseConnectorPRSTractusx
abe60454691ac50b75e6c128060cf068a2e4b9a0
[ "Apache-2.0" ]
null
null
null
coreservices/partsrelationshipservice/connectors_scripts/consume_artifact.py
Agera-CatenaX/SpikeEclipseConnectorPRSTractusx
abe60454691ac50b75e6c128060cf068a2e4b9a0
[ "Apache-2.0" ]
null
null
null
coreservices/partsrelationshipservice/connectors_scripts/consume_artifact.py
Agera-CatenaX/SpikeEclipseConnectorPRSTractusx
abe60454691ac50b75e6c128060cf068a2e4b9a0
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 # # Copyright 2020 Fraunhofer Institute for Software and Systems Engineering # # 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/LICEN...
30.035714
137
0.78478
237
1,682
5.514768
0.561181
0.045907
0.019893
0.024484
0.048967
0
0
0
0
0
0
0.010914
0.128419
1,682
55
138
30.581818
0.880628
0.570155
0
0
0
0
0.117143
0
0
0
0
0
0
1
0
false
0.105263
0.263158
0
0.263158
0.315789
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
0
0
0
1
d4f52104a98cbc77c970e40ad16a8fbe587c2136
1,823
py
Python
counter/api/endpoints/authentication.py
V3lop5/python-starter
96ab58b68101f6bdf278f5b4a3275b5456057300
[ "MIT" ]
null
null
null
counter/api/endpoints/authentication.py
V3lop5/python-starter
96ab58b68101f6bdf278f5b4a3275b5456057300
[ "MIT" ]
53
2021-10-04T20:05:22.000Z
2022-03-31T20:31:42.000Z
counter/api/endpoints/authentication.py
V3lop5/python-starter
96ab58b68101f6bdf278f5b4a3275b5456057300
[ "MIT" ]
null
null
null
from datetime import timedelta from fastapi import APIRouter, Depends, HTTPException, status from fastapi.security import OAuth2PasswordRequestForm from sqlalchemy.orm import Session from counter import schemas, crud, model from counter.api import deps from counter.core import security, settings router = APIRouter()...
30.898305
85
0.70927
221
1,823
5.696833
0.343891
0.06116
0.047657
0.031771
0.149325
0.106434
0.06672
0
0
0
0
0.006148
0.196928
1,823
58
86
31.431034
0.853825
0.058146
0
0.052632
0
0
0.061041
0
0
0
0
0
0
1
0.078947
false
0.105263
0.184211
0
0.342105
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
0
0
0
1
d4f589443f5011f7d91a3f5913e7df42c7db53a4
1,536
py
Python
openstack/telemetry/v2/alarm_change.py
sivel/python-openstacksdk
85c6a42c8f983b467c79e5dacdfdc996657250b1
[ "Apache-2.0" ]
1
2015-02-16T09:34:58.000Z
2015-02-16T09:34:58.000Z
openstack/telemetry/v2/alarm_change.py
sivel/python-openstacksdk
85c6a42c8f983b467c79e5dacdfdc996657250b1
[ "Apache-2.0" ]
null
null
null
openstack/telemetry/v2/alarm_change.py
sivel/python-openstacksdk
85c6a42c8f983b467c79e5dacdfdc996657250b1
[ "Apache-2.0" ]
null
null
null
# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under t...
34.133333
75
0.708984
208
1,536
5.115385
0.528846
0.090226
0.052632
0.030075
0
0
0
0
0
0
0
0.004049
0.195964
1,536
44
76
34.909091
0.85749
0.360677
0
0
0
0
0.118802
0.032025
0
0
0
0
0
1
0.041667
false
0
0.083333
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
0
0
1
0
0
1
d4f9955dc7309616bf2910814e46a62d43b65df7
2,094
py
Python
selenium/main_mercadolivre.py
joismar/Desafio-Python-Web-Scraping
0c5e84d8b9e2f9d1fc5edd122ed78b4dcbc7d2ce
[ "MIT" ]
null
null
null
selenium/main_mercadolivre.py
joismar/Desafio-Python-Web-Scraping
0c5e84d8b9e2f9d1fc5edd122ed78b4dcbc7d2ce
[ "MIT" ]
null
null
null
selenium/main_mercadolivre.py
joismar/Desafio-Python-Web-Scraping
0c5e84d8b9e2f9d1fc5edd122ed78b4dcbc7d2ce
[ "MIT" ]
null
null
null
from bs4 import BeautifulSoup from selenium import webdriver import json # - # Observações: # # As primeiras tentativas foram realizadas com o uso do Scrapy, porém # apresentada um erro de requests, informando que a resposta da # requisição era inválida. # # Dessa forma recorri ao método mais fácil e rápido, Reque...
31.253731
120
0.671442
279
2,094
4.953405
0.587814
0.015195
0.034732
0.043415
0.057887
0.057887
0
0
0
0
0
0.006587
0.202483
2,094
67
121
31.253731
0.820958
0.32808
0
0.066667
0
0
0.221501
0.069986
0
0
0
0.014925
0
1
0
false
0
0.1
0
0.1
0.033333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
be015f492963a11ec7080eae26b64f3fa4259070
2,545
py
Python
tests/integration/test_handlers.py
SakornW/uplink
2eba20f8f65862fe4ebd3ef2aa1e2a895ca85d3f
[ "MIT" ]
null
null
null
tests/integration/test_handlers.py
SakornW/uplink
2eba20f8f65862fe4ebd3ef2aa1e2a895ca85d3f
[ "MIT" ]
null
null
null
tests/integration/test_handlers.py
SakornW/uplink
2eba20f8f65862fe4ebd3ef2aa1e2a895ca85d3f
[ "MIT" ]
null
null
null
# Local imports. import uplink # Constants BASE_URL = "https://example.com/" @uplink.response_handler(requires_consumer=True) def handle_response_with_consumer(consumer, response): consumer.flagged = True return response @uplink.response_handler def handle_response(response): response.flagged = True ...
22.927928
70
0.716306
321
2,545
5.392523
0.190031
0.05777
0.039284
0.053148
0.493934
0.391681
0.326979
0.326979
0.326979
0.326979
0
0.001468
0.196857
2,545
110
71
23.136364
0.845401
0.046365
0
0.470588
0
0
0.042632
0
0
0
0
0
0.102941
1
0.191176
false
0.058824
0.014706
0
0.264706
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
0
0
0
1
be02e1045fc90e835813d1b695aea471a3bff77c
587
py
Python
Scripts/web_scraping_api.py
ElizaBedoyaZapata/Proyecto-Principal-PowerBI
1d3d9f11bfa84389637898005c26b47f15f43cb0
[ "MIT" ]
null
null
null
Scripts/web_scraping_api.py
ElizaBedoyaZapata/Proyecto-Principal-PowerBI
1d3d9f11bfa84389637898005c26b47f15f43cb0
[ "MIT" ]
null
null
null
Scripts/web_scraping_api.py
ElizaBedoyaZapata/Proyecto-Principal-PowerBI
1d3d9f11bfa84389637898005c26b47f15f43cb0
[ "MIT" ]
null
null
null
import pandas as pd from sodapy import Socrata from selenium import webdriver #from selenium.webdriver.support.ui import Select # Links file links = pd.read_excel('..\Inputs\enlaces.xlsx', engine='openpyxl') # Chrome path to web scraping chrome_path = r"C:\Users\kmili\Downloads\chromedriver_win32\chromedri...
27.952381
93
0.744463
83
587
5.108434
0.686747
0.070755
0.091981
0
0
0
0
0
0
0
0
0.023483
0.129472
587
20
94
29.35
0.806262
0.216354
0
0
0
0
0.34023
0.308046
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
1
be064ae5ae3cea6af219c113d58903fd961f6b5e
1,204
py
Python
Pacote Download/Ex045_12professor.py
BrunoCruzIglesias/Python
01465632a8471271e994eb4565a14a547db6578d
[ "MIT" ]
null
null
null
Pacote Download/Ex045_12professor.py
BrunoCruzIglesias/Python
01465632a8471271e994eb4565a14a547db6578d
[ "MIT" ]
null
null
null
Pacote Download/Ex045_12professor.py
BrunoCruzIglesias/Python
01465632a8471271e994eb4565a14a547db6578d
[ "MIT" ]
null
null
null
from random import randint from time import sleep print('{:=^20}'.format(' JOKENPÔ ')) itens = ('Pedra', 'Papel', 'Tesoura') computador = randint(0, 2) print('''Suas opções: [ 0 ] PEDRA [ 1 ] PAPEL [ 2 ] TESOURA''') jogador = int(input('Qual é sua jogada? ')) print('JO') sleep(1) print('KEN') sleep(1) print('PÔ!!!') pr...
26.173913
59
0.597176
145
1,204
4.958621
0.275862
0.091794
0.089013
0.062587
0.307371
0.116829
0.116829
0
0
0
0
0.027293
0.239203
1,204
46
60
26.173913
0.757642
0.05814
0
0.608696
0
0
0.274978
0
0
0
0
0
0
1
0
false
0
0.043478
0
0.043478
0.456522
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
1
be0daeea96c5635ca4c37a0dd51acd0289060918
1,110
py
Python
ui_automation_tests/pages/generic_application/declaration.py
uktrade/lite-exporter-frontend
cf42ac37a21236486aa303c8935c44a7eba91ef5
[ "MIT" ]
3
2019-05-31T06:36:17.000Z
2020-02-12T16:02:24.000Z
ui_automation_tests/pages/generic_application/declaration.py
uktrade/lite-exporter-frontend
cf42ac37a21236486aa303c8935c44a7eba91ef5
[ "MIT" ]
33
2019-03-28T10:20:14.000Z
2020-07-16T15:12:43.000Z
ui_automation_tests/pages/generic_application/declaration.py
uktrade/lite-exporter-frontend
cf42ac37a21236486aa303c8935c44a7eba91ef5
[ "MIT" ]
1
2019-05-01T15:52:02.000Z
2019-05-01T15:52:02.000Z
from ui_automation_tests.pages.BasePage import BasePage from ui_automation_tests.shared.tools.helpers import scroll_to_element_by_id class DeclarationPage(BasePage): FOI_ID = "agreed_to_foi-True" DECLARATION_ID = "agreed_to_declaration" CONDITION_OGEL_ID = "I-confirm-that-I've-read-the-licence-conditions-...
44.4
108
0.759459
160
1,110
4.9125
0.3375
0.068702
0.069975
0.076336
0.344784
0.179389
0.179389
0.142494
0.142494
0.142494
0
0.002064
0.127027
1,110
24
109
46.25
0.809082
0
0
0
0
0.111111
0.216216
0.198198
0
0
0
0
0
1
0.222222
false
0
0.111111
0
0.611111
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
0
0
0
1
be10730ce7480130d46af87c54f82d167d80f39c
10,426
py
Python
docarray/array/storage/base/getsetdel.py
startakovsky/docarray
78dd3199d25b3e533cd09643b97359783c193397
[ "Apache-2.0" ]
1
2022-03-16T14:05:32.000Z
2022-03-16T14:05:32.000Z
docarray/array/storage/base/getsetdel.py
startakovsky/docarray
78dd3199d25b3e533cd09643b97359783c193397
[ "Apache-2.0" ]
null
null
null
docarray/array/storage/base/getsetdel.py
startakovsky/docarray
78dd3199d25b3e533cd09643b97359783c193397
[ "Apache-2.0" ]
null
null
null
import itertools from abc import abstractmethod, ABC from typing import ( Sequence, Any, Iterable, Dict, ) from .helper import Offset2ID from .... import Document class BaseGetSetDelMixin(ABC): """Provide abstract methods and derived methods for ``__getitem__``, ``__setitem__`` and ``__delitem__`...
36.327526
118
0.624305
1,416
10,426
4.346751
0.140537
0.020309
0.021608
0.040942
0.545898
0.480422
0.409423
0.368806
0.358408
0.358408
0
0.003648
0.29014
10,426
286
119
36.454545
0.827996
0.402072
0
0.313869
0
0
0.092629
0.007424
0
0
0
0
0
1
0.20438
false
0
0.043796
0.007299
0.291971
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
0
0
0
1
be10e28be33501812f36cdce904d57dcd267f7c3
2,147
py
Python
assemblyline/assemblyline/common/user_defaults.py
dendisuhubdy/grokmachine
120a21a25c2730ed356739231ec8b99fc0575c8b
[ "BSD-3-Clause" ]
46
2017-05-15T11:15:08.000Z
2018-07-02T03:32:52.000Z
common/user_defaults.py
rtruxal/assemblyline
d1f02c9c7c8859d4c0b7ac231d91d544bb3a33eb
[ "MIT" ]
null
null
null
common/user_defaults.py
rtruxal/assemblyline
d1f02c9c7c8859d4c0b7ac231d91d544bb3a33eb
[ "MIT" ]
24
2017-05-17T03:26:17.000Z
2018-07-09T07:00:50.000Z
from assemblyline.al.common import forge Classification = forge.get_classification() config = forge.get_config() SETTINGS_DEFAULT = { "classification": Classification.UNRESTRICTED, # Default classification for the User's submissions "deep_scan": True, # Should the system perform a deep scan or not "des...
49.930233
103
0.702841
277
2,147
5.353791
0.505415
0.023601
0.021578
0
0
0
0
0
0
0
0
0.007593
0.202608
2,147
42
104
51.119048
0.858645
0.508617
0
0
0
0
0.301758
0
0
0
0
0
0
1
0
false
0.054054
0.027027
0
0.027027
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
0
0
0
1
be127d0d49d6416ebca93677d54a91ce84358618
2,117
py
Python
pybgen/__init__.py
godotgildor/pybgen
46f9a8c80c558153a8701c6293b63287df99143f
[ "MIT" ]
5
2018-02-20T22:48:53.000Z
2022-02-07T15:58:24.000Z
pybgen/__init__.py
godotgildor/pybgen
46f9a8c80c558153a8701c6293b63287df99143f
[ "MIT" ]
2
2018-04-26T08:28:25.000Z
2020-08-20T17:36:26.000Z
pybgen/__init__.py
godotgildor/pybgen
46f9a8c80c558153a8701c6293b63287df99143f
[ "MIT" ]
3
2018-02-05T13:44:57.000Z
2019-07-30T19:12:55.000Z
"""A module to read BGEN files.""" # This file is part of pybgen. # # The MIT License (MIT) # # Copyright (c) 2014 Louis-Philippe Lemieux Perreault # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the S...
34.704918
79
0.755786
293
2,117
5.327645
0.505119
0.056374
0.076874
0.111467
0.042281
0
0
0
0
0
0
0.005721
0.174303
2,117
60
80
35.283333
0.8873
0.653283
0
0
0
0
0.296898
0.064993
0
0
0
0
0
1
0.058824
false
0
0.352941
0
0.411765
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
1
be13e69030c183280fa658b88771630322bd14ec
1,356
py
Python
nomadgram/images/models.py
woobong/nomadgram
6062ebc970a2f92d6d4d63b0b53f039a298dcfff
[ "MIT" ]
null
null
null
nomadgram/images/models.py
woobong/nomadgram
6062ebc970a2f92d6d4d63b0b53f039a298dcfff
[ "MIT" ]
12
2020-06-05T16:50:22.000Z
2022-03-11T23:26:16.000Z
nomadgram/images/models.py
woobong/nomadgram
6062ebc970a2f92d6d4d63b0b53f039a298dcfff
[ "MIT" ]
null
null
null
from django.db import models from django.utils.encoding import python_2_unicode_compatible from nomadgram.users import models as user_models @python_2_unicode_compatible class TimeStampedModel(models.Model): created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) ...
31.534884
90
0.75295
169
1,356
5.792899
0.319527
0.035751
0.071502
0.122574
0.569969
0.39428
0.39428
0.39428
0.39428
0.39428
0
0.006908
0.146018
1,356
42
91
32.285714
0.838515
0
0
0.4
0
0
0.021386
0
0
0
0
0
0
1
0.1
false
0
0.1
0.1
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
0
0
1
0
0
1
be152df39af4e6057836c030e2a35e43c2ce83b7
2,928
py
Python
tests/benchmark/generate_libsvm.py
bclehmann/xgboost
345796825f7bbeb0251bca1244e296fda211551b
[ "Apache-2.0" ]
23,866
2015-03-22T05:53:05.000Z
2022-03-31T23:59:37.000Z
tests/benchmark/generate_libsvm.py
bclehmann/xgboost
345796825f7bbeb0251bca1244e296fda211551b
[ "Apache-2.0" ]
6,405
2015-03-22T09:41:16.000Z
2022-03-31T23:28:40.000Z
tests/benchmark/generate_libsvm.py
bclehmann/xgboost
345796825f7bbeb0251bca1244e296fda211551b
[ "Apache-2.0" ]
9,745
2015-03-22T05:25:51.000Z
2022-03-31T09:24:51.000Z
"""Generate synthetic data in LIBSVM format.""" import argparse import io import time import numpy as np from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split RNG = np.random.RandomState(2019) def generate_data(args): """Generates the data.""" print("Generati...
33.272727
97
0.615096
384
2,928
4.518229
0.255208
0.036888
0.032277
0.048415
0.236311
0.152738
0.07781
0.07781
0.07781
0.055331
0
0.015007
0.248975
2,928
87
98
33.655172
0.773988
0.050546
0
0.098361
1
0
0.111797
0
0
0
0
0
0
1
0.081967
false
0
0.098361
0
0.180328
0.131148
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
0
0
0
1
be1acb3817e1feaed4c3130d71c0d482595221c5
15,598
py
Python
deepcell_scripts/training_scripts/test_maskrcnn.py
vanvalen/deepcell-tf
72928abe48f12955d6531437aa85a034246bad4d
[ "MIT" ]
7
2018-05-09T16:25:37.000Z
2019-10-16T03:31:45.000Z
deepcell_scripts/training_scripts/test_maskrcnn.py
vanvalen/deepcell-tf
72928abe48f12955d6531437aa85a034246bad4d
[ "MIT" ]
9
2018-03-19T04:08:56.000Z
2022-03-11T23:19:31.000Z
deepcell_scripts/training_scripts/test_maskrcnn.py
vanvalen/deepcell-tf
72928abe48f12955d6531437aa85a034246bad4d
[ "MIT" ]
4
2018-01-19T09:45:10.000Z
2018-05-03T07:30:43.000Z
""" test_maskrcnn.py Testing Mask RCNN @author: David Van Valen """ import numpy as np import os import scipy from deepcell import MaskRCNN, bn_dense_net_backbone, Config, Dataset, get_data from deepcell.dc_helper_functions import * from tensorflow.python.keras import backend as K from skimage.measure import label, ...
36.023095
123
0.72131
2,498
15,598
4.275821
0.176141
0.036701
0.017789
0.019474
0.231345
0.180414
0.133883
0.116656
0.09662
0.080142
0
0.017268
0.17951
15,598
433
124
36.023095
0.817315
0.175087
0
0.1
0
0
0.01433
0.003196
0
0
0
0.002309
0
0
null
null
0
0.029167
null
null
0.008333
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
0
0
0
0
0
1
be1bc150cc0ddab4cd03ff072d4b676232ff9a46
926
py
Python
predictionserver/serverhabits/metrichabits.py
microprediction/predictionserver
817243a4c85aac63995ab3a18cfbdcb01bb07bd0
[ "MIT" ]
1
2020-12-04T17:59:19.000Z
2020-12-04T17:59:19.000Z
predictionserver/serverhabits/metrichabits.py
microprediction/predictionserver
817243a4c85aac63995ab3a18cfbdcb01bb07bd0
[ "MIT" ]
null
null
null
predictionserver/serverhabits/metrichabits.py
microprediction/predictionserver
817243a4c85aac63995ab3a18cfbdcb01bb07bd0
[ "MIT" ]
1
2021-03-05T05:03:36.000Z
2021-03-05T05:03:36.000Z
from predictionserver.futureconventions.metricconventions import ( MetricConventions, MetricGranularity, MetricType ) # Metrics are system incremented values, typically float, stored in hashes. # The name of the hash is specified by granularity only. # The key into the hash is public. For example: # - code #...
29.870968
76
0.676026
92
926
6.597826
0.51087
0.049423
0.029654
0.131796
0
0
0
0
0
0
0
0
0.240821
926
30
77
30.866667
0.863442
0.25486
0
0
0
0
0
0
0
0
0
0
0
1
0.176471
false
0
0.058824
0.117647
0.411765
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
1
0
0
0
1
be1ddbdb9863476738f1707d4755731b358982db
7,377
py
Python
courator/sql_schemas.py
Courator/courator-backend
726845a06c1be7693fd107bdf571ea40b7d398ec
[ "MIT" ]
null
null
null
courator/sql_schemas.py
Courator/courator-backend
726845a06c1be7693fd107bdf571ea40b7d398ec
[ "MIT" ]
null
null
null
courator/sql_schemas.py
Courator/courator-backend
726845a06c1be7693fd107bdf571ea40b7d398ec
[ "MIT" ]
null
null
null
from enum import Enum from syncer import sync from . import db class Obj(Enum): table = 1 index = 2 function = 3 schemas = [ ('''CREATE TABLE University( id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY, code VARCHAR(20) NOT NULL UNIQUE, name VARCHAR(80) NOT NULL, des...
35.985366
113
0.654467
827
7,377
5.801693
0.188634
0.084619
0.093372
0.09504
0.354523
0.327845
0.254064
0.254064
0.201542
0.1807
0
0.014014
0.264877
7,377
204
114
36.161765
0.870736
0
0
0.31383
0
0
0.852921
0.055578
0
0
0
0
0
1
0
false
0.005319
0.021277
0
0.042553
0.010638
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
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
be209b2cb521f014f9a186f497c58658627ee07a
1,194
py
Python
userp.py
muturi254/Password_locker
fc67b76f6cf04bbfcaf382adec0fb0c26bdde709
[ "MIT" ]
null
null
null
userp.py
muturi254/Password_locker
fc67b76f6cf04bbfcaf382adec0fb0c26bdde709
[ "MIT" ]
null
null
null
userp.py
muturi254/Password_locker
fc67b76f6cf04bbfcaf382adec0fb0c26bdde709
[ "MIT" ]
null
null
null
import pyperclip class User: """initiaizesan instance of a user""" user_list = [] def __init__(self, first_name, last_name, email, Id): self.first_name = first_name self.last_name = last_name self.email = email self.Id = Id def save_user(self): print("su works")...
23.411765
57
0.558626
148
1,194
4.317568
0.337838
0.087637
0.051643
0.037559
0.112676
0.112676
0.112676
0.112676
0.112676
0.112676
0
0
0.359296
1,194
50
58
23.88
0.835294
0.148241
0
0.25
0
0
0.008584
0
0
0
0
0
0
1
0.21875
false
0
0.03125
0
0.46875
0.03125
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
0
0
0
1
be223033dad249cd3f41ae119fd3561c7b6b66ad
4,327
py
Python
tests/test_perf_data.py
HurricaneLabs/python-pycinga
52b04367c3948cac11ee77d466df6222d0d30034
[ "MIT" ]
4
2018-02-08T21:19:04.000Z
2020-12-17T23:31:57.000Z
tests/test_perf_data.py
HurricaneLabs/python-pycinga
52b04367c3948cac11ee77d466df6222d0d30034
[ "MIT" ]
3
2018-03-05T17:15:24.000Z
2019-06-28T14:17:55.000Z
tests/test_perf_data.py
HurricaneLabs/python-pycinga
52b04367c3948cac11ee77d466df6222d0d30034
[ "MIT" ]
2
2019-08-25T17:14:27.000Z
2020-05-31T09:47:27.000Z
""" Contains tests for pycinga.response.PerfData """ import pytest from pycinga.perf_data import PerfData from pycinga.range import Range class TestPerfData(object): def test_exception_if_value_invalid(self): """ Tests to verify that an exception is raised if value is an invalid format....
31.355072
76
0.570141
545
4,327
4.429358
0.198165
0.040597
0.063795
0.098592
0.635046
0.495029
0.457332
0.401823
0.346313
0.329743
0
0.022796
0.310608
4,327
137
77
31.583942
0.786457
0.264155
0
0.166667
0
0
0.082669
0.007977
0
0
0
0
0.216667
1
0.233333
false
0
0.05
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
1
be2517943ead35b8975ba518e226ca650d2b9df2
2,569
py
Python
py/desici/plot_psf.py
desihub/desici
d9d165e2d9595e114d2330f92776089368df01c2
[ "BSD-3-Clause" ]
null
null
null
py/desici/plot_psf.py
desihub/desici
d9d165e2d9595e114d2330f92776089368df01c2
[ "BSD-3-Clause" ]
null
null
null
py/desici/plot_psf.py
desihub/desici
d9d165e2d9595e114d2330f92776089368df01c2
[ "BSD-3-Clause" ]
null
null
null
import astropy.io.fits as fits import glob import matplotlib.pyplot as plt from scipy.stats import scoreatpercentile import os import numpy as np basedir = '/n/fink2/ameisner/CI/v0001' plot_num_dict = {'CIE': 4, 'CIN': 2, 'CIC': 5, 'CIS': 8, 'CIW': 6} def rotate_1psf(stamp, extname): print('blat') def plot_1exp...
30.951807
100
0.599844
370
2,569
4.089189
0.367568
0.035691
0.037013
0.0423
0.192994
0.118969
0.087244
0.047588
0
0
0
0.052032
0.21448
2,569
82
101
31.329268
0.697721
0.033865
0
0.032787
0
0.016393
0.167406
0.058895
0
0
0
0
0
0
null
null
0
0.098361
null
null
0.081967
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
0
0
0
0
0
1
be254e555a5e6a8d3a2e3c98618143697caff104
48,017
py
Python
libtrack/elfmod/vstruct/defs/windows/win_5_1_i386/win32k.py
columbia/libtrack
c338b645e773b3fc666babd49f5a7eb5debbe0e5
[ "Apache-2.0" ]
40
2016-04-12T11:20:08.000Z
2021-03-30T22:51:52.000Z
libtrack/elfmod/vstruct/defs/windows/win_5_1_i386/win32k.py
columbia/libtrack
c338b645e773b3fc666babd49f5a7eb5debbe0e5
[ "Apache-2.0" ]
null
null
null
libtrack/elfmod/vstruct/defs/windows/win_5_1_i386/win32k.py
columbia/libtrack
c338b645e773b3fc666babd49f5a7eb5debbe0e5
[ "Apache-2.0" ]
6
2016-04-12T11:20:16.000Z
2020-01-15T03:31:20.000Z
# Version: 5.1 # Architecture: i386 import vstruct from vstruct.primitives import * DEVICE_RELATION_TYPE = v_enum() DEVICE_RELATION_TYPE.BusRelations = 0 DEVICE_RELATION_TYPE.EjectionRelations = 1 DEVICE_RELATION_TYPE.PowerRelations = 2 DEVICE_RELATION_TYPE.RemovalRelations = 3 DEVICE_RELATION_TYPE.TargetDev...
32.731425
106
0.679863
5,180
48,017
5.862741
0.168147
0.108795
0.050347
0.081596
0.374724
0.338075
0.329481
0.312128
0.299779
0.290823
0
0.039046
0.228752
48,017
1,466
107
32.753752
0.781006
0.000646
0
0.346024
0
0
0
0
0
0
0
0
0
0
null
null
0
0.002538
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
0
0
0
0
0
0
1
be286b8fd8ed5f15551e45778ff3fa1a48fcfe06
2,618
py
Python
yardstick/benchmark/scenarios/availability/operation/baseoperation.py
alexnemes/yardstick_enc
dc2d0eb663c7648271b04026b90046a27fe0b5fc
[ "Apache-2.0" ]
1
2019-12-08T21:39:38.000Z
2019-12-08T21:39:38.000Z
yardstick/benchmark/scenarios/availability/operation/baseoperation.py
alexnemes/yardstick
7a89a01cdb1b3569d0b67451572edbae0f3d05aa
[ "Apache-2.0" ]
null
null
null
yardstick/benchmark/scenarios/availability/operation/baseoperation.py
alexnemes/yardstick
7a89a01cdb1b3569d0b67451572edbae0f3d05aa
[ "Apache-2.0" ]
null
null
null
############################################################################## # Copyright (c) 2016 Juan Qiu and others # juan_ qiu@tongji.edu.cn # All rights reserved. This program and the accompanying materials # are made available under the terms of the Apache License, Version 2.0 # which accompanies this distributi...
31.542169
78
0.634454
296
2,618
5.337838
0.388514
0.057595
0.043038
0.031646
0
0
0
0
0
0
0
0.003972
0.23071
2,618
82
79
31.926829
0.780536
0.130634
0
0.090909
0
0
0.075865
0.019915
0
0
0
0
0
1
0.181818
false
0.054545
0.109091
0
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1
be2a5e4831a9a5ce4ba280f573217776fb6c77ae
233
py
Python
play/flatten_list.py
wlmgithub/ecar
55e8f085485d898db760189e42071a5614023f2d
[ "MIT" ]
null
null
null
play/flatten_list.py
wlmgithub/ecar
55e8f085485d898db760189e42071a5614023f2d
[ "MIT" ]
null
null
null
play/flatten_list.py
wlmgithub/ecar
55e8f085485d898db760189e42071a5614023f2d
[ "MIT" ]
null
null
null
def flatten(seq): r = [] for x in seq: if type(x) == list: r += flatten(x) else: r.append(x) return r seq = [1,[2,3],4] seq = [1,[2,[5,6],3],4] print(seq, '-->', flatten(seq))
13.705882
31
0.412017
37
233
2.594595
0.540541
0.208333
0.104167
0
0
0
0
0
0
0
0
0.068027
0.369099
233
16
32
14.5625
0.585034
0
0
0
0
0
0.012931
0
0
0
0
0
0
1
0.090909
false
0
0
0
0.181818
0.090909
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
0
0
1
076ef04d0ace17522caaf1bd83f76cd97eb03984
1,313
py
Python
widgy/contrib/widgy_mezzanine/site.py
isopets/django-widgy
de6920b2b25699888eee1cc9b4d28f2aa5905ce1
[ "Apache-2.0" ]
168
2015-01-04T17:22:45.000Z
2022-01-28T09:53:35.000Z
widgy/contrib/widgy_mezzanine/site.py
isopets/django-widgy
de6920b2b25699888eee1cc9b4d28f2aa5905ce1
[ "Apache-2.0" ]
82
2015-01-09T18:14:32.000Z
2020-10-08T18:13:07.000Z
widgy/contrib/widgy_mezzanine/site.py
isopets/django-widgy
de6920b2b25699888eee1cc9b4d28f2aa5905ce1
[ "Apache-2.0" ]
61
2015-01-09T17:16:51.000Z
2021-07-03T08:52:27.000Z
from mezzanine.utils.sites import current_site_id, has_site_permission from widgy.models import Content class MultiSitePermissionMixin(object): def _can_edit_content(self, request, obj): if isinstance(obj, Content): owners = obj.get_root().node.versiontracker_set.get().owners any_o...
45.275862
97
0.723534
174
1,313
5.109195
0.310345
0.067492
0.067492
0.095613
0.51631
0.32171
0.32171
0.08099
0
0
0
0
0.203351
1,313
28
98
46.892857
0.849904
0
0
0.130435
0
0
0
0
0
0
0
0
0
1
0.173913
false
0
0.086957
0
0.652174
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
07718404221e0e1a33d39ed6868c4c192bebb43c
10,678
py
Python
ftp_client/ftp_client.py
luyao777/ftp-python
28360e8f73f5922d1643fd7b56bed56f66f20a92
[ "MIT" ]
null
null
null
ftp_client/ftp_client.py
luyao777/ftp-python
28360e8f73f5922d1643fd7b56bed56f66f20a92
[ "MIT" ]
null
null
null
ftp_client/ftp_client.py
luyao777/ftp-python
28360e8f73f5922d1643fd7b56bed56f66f20a92
[ "MIT" ]
null
null
null
#_*_coding:utf-8_*_ import socket import os import sys import optparse import json import hashlib STATUS_CODE = { 250:"Invalid cmd format, e.g:{'action':'get','filename':'test.py','size':344}", 251:"Invalid cmd", 252:"Invalid auth data", 253:"Wrong username or password", 254:"Passed authentication...
34.006369
88
0.529687
1,162
10,678
4.70654
0.226334
0.056317
0.02633
0.029256
0.447065
0.418724
0.381971
0.381971
0.381971
0.381971
0
0.021525
0.343042
10,678
314
89
34.006369
0.75809
0.100206
0
0.445344
0
0.004049
0.123359
0.005506
0
0
0
0
0
1
0.072874
false
0.060729
0.024292
0
0.161943
0.149798
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
0
0
0
1
07737c0702ec999fcb30b68bfad8a1df9b47444b
3,160
py
Python
app.py
Chiebukar/recognize-player
8577efae7aebf5281c42b17eb4d3165bd8ab3c66
[ "Apache-2.0" ]
1
2021-06-27T05:59:03.000Z
2021-06-27T05:59:03.000Z
app.py
Chiebukar/recognize-player
8577efae7aebf5281c42b17eb4d3165bd8ab3c66
[ "Apache-2.0" ]
null
null
null
app.py
Chiebukar/recognize-player
8577efae7aebf5281c42b17eb4d3165bd8ab3c66
[ "Apache-2.0" ]
null
null
null
import streamlit as st import base64 import util st.spinner('Loading saved artifacts') util.load_saved_artifacts() ronaldo_jpg = "Cristiano Ronaldo.jpg" messi_jpg = "Lionel Messi.jpg" salah_jpg = "Mohammed Salah.jpg" neymar_jpg = "Neymar Jr.jpg" son_jpg = "Son Heung Min.jpg" mane_jpg = "Sadio Mane.jpg" ...
29.811321
130
0.618671
422
3,160
4.556872
0.317536
0.029121
0.043682
0.053042
0.307332
0.219449
0.219449
0.219449
0.219449
0.219449
0
0.039084
0.198418
3,160
105
131
30.095238
0.720095
0.196835
0
0.235294
0
0.088235
0.736123
0.19884
0
0
0
0
0
1
0
false
0
0.044118
0
0.044118
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
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
07741f836934e7fd5b9c581e1bc29c8ea74a8f64
12,603
py
Python
filefinder2/_module_utils.py
asmodehn/filefinder2
3f0b211ce11a34562e2a2160e039ae5290b68d6b
[ "MIT" ]
3
2017-07-17T02:48:24.000Z
2018-05-05T16:38:53.000Z
filefinder2/_module_utils.py
asmodehn/filefinder2
3f0b211ce11a34562e2a2160e039ae5290b68d6b
[ "MIT" ]
124
2017-06-27T10:24:54.000Z
2022-03-31T15:40:02.000Z
filefinder2/_module_utils.py
asmodehn/filefinder2
3f0b211ce11a34562e2a2160e039ae5290b68d6b
[ "MIT" ]
1
2017-09-25T15:26:03.000Z
2017-09-25T15:26:03.000Z
from __future__ import absolute_import, division, print_function """ A module for spec utils """ # We need to be extra careful with python versions # Ref : https://docs.python.org/2/library/modules.html?highlight=imports # Ref : https://docs.python.org/3/library/modules.html?highlight=imports import os import sys ...
37.846847
83
0.5874
1,427
12,603
4.953749
0.194114
0.017824
0.050927
0.025746
0.258169
0.161692
0.115151
0.074692
0.062809
0.062809
0
0.002476
0.326986
12,603
332
84
37.960843
0.830936
0.601047
0
0.277228
0
0
0.048956
0.00631
0
0
0
0
0
1
0.089109
false
0.059406
0.09901
0.019802
0.287129
0.009901
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
0
0
0
1
0774d49ffb357b2d456d8219399e7e703c352aed
376
py
Python
app.py
nnivruth/simple_api
4aec9f5475c707cd809d642da8dafd1d75de6fb7
[ "MIT" ]
null
null
null
app.py
nnivruth/simple_api
4aec9f5475c707cd809d642da8dafd1d75de6fb7
[ "MIT" ]
1
2018-10-04T07:00:04.000Z
2018-10-04T07:00:04.000Z
app.py
nnivruth/simple_api
4aec9f5475c707cd809d642da8dafd1d75de6fb7
[ "MIT" ]
1
2018-10-04T06:50:04.000Z
2018-10-04T06:50:04.000Z
#!/usr/bin/env python from flask import Flask from flask_restful import Api app = Flask(__name__) api = Api(app) from resources import TodoListResource from resources import TodoResource api.add_resource(TodoListResource, '/todos', endpoint='todos') api.add_resource(TodoResource, '/todos/<string:id>', endpoint='tod...
22.117647
69
0.760638
50
376
5.42
0.52
0.066421
0.140221
0
0
0
0
0
0
0
0
0
0.117021
376
16
70
23.5
0.816265
0.053191
0
0
0
0
0.115493
0
0
0
0
0
0
1
0
false
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
0
0
1
0
0
0
0
1
077997f1c022bb92adeb766dff259f5ece98e37b
10,189
py
Python
rpython/rlib/test/test_signature.py
nanjekyejoannah/pypy
e80079fe13c29eda7b2a6b4cd4557051f975a2d9
[ "Apache-2.0", "OpenSSL" ]
333
2015-08-08T18:03:38.000Z
2022-03-22T18:13:12.000Z
rpython/rlib/test/test_signature.py
nanjekyejoannah/pypy
e80079fe13c29eda7b2a6b4cd4557051f975a2d9
[ "Apache-2.0", "OpenSSL" ]
7
2020-02-16T16:49:05.000Z
2021-11-26T09:00:56.000Z
rpython/rlib/test/test_signature.py
nanjekyejoannah/pypy
e80079fe13c29eda7b2a6b4cd4557051f975a2d9
[ "Apache-2.0", "OpenSSL" ]
55
2015-08-16T02:41:30.000Z
2022-03-20T20:33:35.000Z
import py from rpython.rlib.signature import signature, finishsigs, FieldSpec, ClassSpec from rpython.rlib import types from rpython.annotator import model from rpython.rtyper.llannotation import SomePtr from rpython.annotator.signature import SignatureError from rpython.translator.translator import TranslationContext,...
26.813158
98
0.630386
1,356
10,189
4.576696
0.136431
0.054141
0.073477
0.042539
0.517725
0.401869
0.349178
0.267805
0.220754
0.191267
0
0.009321
0.231328
10,189
379
99
26.883905
0.783069
0.012661
0
0.444795
0
0
0.012132
0
0
0
0
0
0.141956
1
0.252366
false
0.037855
0.028391
0.07571
0.444795
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
0
0
0
1
077b106b0953d07307651e7048356e524b92bc87
372
py
Python
router-map/diagram/migrations/0002_auto_20200603_1018.py
comp-sa/router-map
2c9c964ec625d7f061293e50e4fb9031f066b137
[ "MIT" ]
3
2022-02-10T10:20:21.000Z
2022-02-10T10:20:36.000Z
router-map/diagram/migrations/0002_auto_20200603_1018.py
comp-sa/router-map
2c9c964ec625d7f061293e50e4fb9031f066b137
[ "MIT" ]
7
2020-05-19T13:41:10.000Z
2021-09-27T10:15:16.000Z
router-map/diagram/migrations/0002_auto_20200603_1018.py
comp-sa/router-map
2c9c964ec625d7f061293e50e4fb9031f066b137
[ "MIT" ]
2
2019-10-02T10:06:44.000Z
2019-10-03T08:02:07.000Z
# Generated by Django 2.2 on 2020-06-03 08:18 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("diagram", "0001_initial"), ] operations = [ migrations.AlterField( model_name="diagram", name="name", field...
20.666667
51
0.58871
39
372
5.538462
0.769231
0
0
0
0
0
0
0
0
0
0
0.080153
0.295699
372
17
52
21.882353
0.744275
0.115591
0
0
1
0
0.091743
0
0
0
0
0
0
1
0
false
0
0.083333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
077e2d62698a2ff846c87cee9112dd7b6373e73d
1,894
py
Python
syncli/cmd/hosts.py
comodit/synapse-client
9bc7fcc09367bc1f6ac7baff6f38fde9cbcdbf39
[ "MIT" ]
2
2016-06-23T05:57:37.000Z
2021-02-02T06:47:35.000Z
syncli/cmd/hosts.py
comodit/synapse-client
9bc7fcc09367bc1f6ac7baff6f38fde9cbcdbf39
[ "MIT" ]
null
null
null
syncli/cmd/hosts.py
comodit/synapse-client
9bc7fcc09367bc1f6ac7baff6f38fde9cbcdbf39
[ "MIT" ]
2
2017-09-23T00:05:51.000Z
2019-05-13T15:43:48.000Z
""" Manipulate the host resource. """ from syncli.cmd.generic import GenericCmd from syncli.router import register from syncli.api.hosts import HostsApi @register(HostsApi) class HostsCmd(GenericCmd): attributes = (('status', [{'name': 'ip', 'help': "Retrieves the host's ip addres...
40.297872
77
0.435058
164
1,894
4.914634
0.378049
0.060794
0.147643
0.182382
0.364764
0.084367
0
0
0
0
0
0.001901
0.444562
1,894
46
78
41.173913
0.764259
0.039599
0
0.176471
0
0
0.279778
0
0
0
0
0
0
1
0.029412
false
0
0.088235
0
0.176471
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
0
0
0
1
077ea41040294702218c44972e08a7e2542e35f9
2,357
py
Python
amundsen_application/config.py
fimbulvetr/amundsenfrontendlibrary
3eaaf3777cec592dac48b8ac0cb7a797670d541f
[ "Apache-2.0" ]
null
null
null
amundsen_application/config.py
fimbulvetr/amundsenfrontendlibrary
3eaaf3777cec592dac48b8ac0cb7a797670d541f
[ "Apache-2.0" ]
null
null
null
amundsen_application/config.py
fimbulvetr/amundsenfrontendlibrary
3eaaf3777cec592dac48b8ac0cb7a797670d541f
[ "Apache-2.0" ]
1
2019-09-21T23:56:41.000Z
2019-09-21T23:56:41.000Z
import os from typing import Dict, Optional, Set # noqa: F401 from amundsen_application.tests.test_utils import get_test_user class Config: LOG_FORMAT = '%(asctime)s.%(msecs)03d [%(levelname)s] %(module)s.%(funcName)s:%(lineno)d (%(process)d:' \ + '%(threadName)s) - %(message)s' LOG_DATE_FOR...
36.261538
109
0.613492
269
2,357
5.171004
0.494424
0.045291
0.037383
0.023005
0.070453
0.070453
0.070453
0.070453
0.070453
0.070453
0
0.01286
0.30717
2,357
64
110
36.828125
0.838947
0.273229
0
0.102564
0
0.025641
0.147232
0.033569
0
0
0
0
0
1
0
false
0
0.076923
0
0.769231
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
077eefef9c962f6d83f39ef7b0c14e4c98497712
84,851
py
Python
lib/googlecloudsdk/third_party/apis/metastore/v1beta/metastore_v1beta_messages.py
google-cloud-sdk-unofficial/google-cloud-sdk
2a48a04df14be46c8745050f98768e30474a1aac
[ "Apache-2.0" ]
2
2019-11-10T09:17:07.000Z
2019-12-18T13:44:08.000Z
lib/googlecloudsdk/third_party/apis/metastore/v1beta/metastore_v1beta_messages.py
google-cloud-sdk-unofficial/google-cloud-sdk
2a48a04df14be46c8745050f98768e30474a1aac
[ "Apache-2.0" ]
null
null
null
lib/googlecloudsdk/third_party/apis/metastore/v1beta/metastore_v1beta_messages.py
google-cloud-sdk-unofficial/google-cloud-sdk
2a48a04df14be46c8745050f98768e30474a1aac
[ "Apache-2.0" ]
1
2020-07-25T01:40:19.000Z
2020-07-25T01:40:19.000Z
"""Generated message classes for metastore version v1beta. The Dataproc Metastore API is used to manage the lifecycle and configuration of metastore services. """ # NOTE: This file is autogenerated and should not be edited by hand. from __future__ import absolute_import from apitools.base.protorpclite import message...
41.798522
99
0.746839
10,562
84,851
5.941867
0.102727
0.042688
0.021161
0.009752
0.564996
0.53394
0.509051
0.471063
0.438972
0.419389
0
0.013043
0.188589
84,851
2,029
100
41.819123
0.898488
0.717057
0
0.346591
1
0
0.070768
0.022508
0
0
0
0
0
1
0
false
0
0.026515
0
0.617424
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
0
0
0
1
077f1c34fddf79d40f2c3445981c421a402e1077
3,765
py
Python
ParaViewCore/ServerManager/Default/Testing/Python/Animation.py
UV-CDAT/ParaView
095ac28404a85fd86676491b8952884805842223
[ "Apache-2.0" ]
null
null
null
ParaViewCore/ServerManager/Default/Testing/Python/Animation.py
UV-CDAT/ParaView
095ac28404a85fd86676491b8952884805842223
[ "Apache-2.0" ]
null
null
null
ParaViewCore/ServerManager/Default/Testing/Python/Animation.py
UV-CDAT/ParaView
095ac28404a85fd86676491b8952884805842223
[ "Apache-2.0" ]
null
null
null
# Test to exercise the ParaView Python Animation API from paraview.simple import * from paraview import smtesting smtesting.ProcessCommandLineArguments() filename = smtesting.DataDir + '/Data/can.ex2' can_ex2 = OpenDataFile(filename) AnimationScene1 = GetAnimationScene() AnimationScene1.EndTime = 0.0042999885044991...
37.277228
689
0.788845
385
3,765
7.698701
0.423377
0.012821
0.012146
0.009447
0.208839
0.208839
0.176788
0.09919
0.09919
0.048583
0
0.311935
0.089774
3,765
100
690
37.65
0.552962
0.022842
0
0.151515
0
0
0.049238
0
0
0
0
0
0
1
0
false
0
0.045455
0
0.045455
0
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
0
0
0
0
0
0
0
1
0787ac3c277a8ee55f456e340618d6fd71eab8f6
5,344
py
Python
src/tx_utils.py
Badger-Finance/python-keepers
b5b2b0b083a237dceecd161d81754512959822b1
[ "MIT" ]
null
null
null
src/tx_utils.py
Badger-Finance/python-keepers
b5b2b0b083a237dceecd161d81754512959822b1
[ "MIT" ]
22
2022-03-08T19:30:45.000Z
2022-03-28T21:14:15.000Z
src/tx_utils.py
Badger-Finance/python-keepers
b5b2b0b083a237dceecd161d81754512959822b1
[ "MIT" ]
null
null
null
# TODO: Move this module as a shared functionality to badger utils lib import logging import requests import traceback from decimal import Decimal from hexbytes import HexBytes from typing import Dict from web3 import contract from web3 import exceptions from web3 import Web3 from config.constants import GAS_LIMITS f...
33.610063
89
0.67646
749
5,344
4.632844
0.279039
0.04611
0.01902
0.017291
0.076945
0.011527
0
0
0
0
0
0.019532
0.22399
5,344
158
90
33.822785
0.817217
0.228481
0
0.10101
0
0
0.116302
0.005964
0
0
0
0.012658
0
1
0.070707
false
0
0.111111
0
0.252525
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
1
0
0
0
0
0
0
0
0
0
0
1
0788998ef9897169ad41d09ad1cb11731389c748
980
py
Python
tests/future_value_test.py
Fixed-Income-OS/fixedincome-py
9dc1ef0faf2d26cfacc9d79eed0e2f12cdb5b1fa
[ "Apache-2.0" ]
4
2019-11-25T04:22:59.000Z
2021-05-18T04:57:16.000Z
tests/future_value_test.py
Fixed-Income-OS/fixedincome-py
9dc1ef0faf2d26cfacc9d79eed0e2f12cdb5b1fa
[ "Apache-2.0" ]
5
2019-11-15T00:29:52.000Z
2021-06-02T00:37:37.000Z
tests/future_value_test.py
Fixed-Income-OS/fixedincome-py
9dc1ef0faf2d26cfacc9d79eed0e2f12cdb5b1fa
[ "Apache-2.0" ]
4
2020-03-03T20:06:48.000Z
2022-02-19T02:01:56.000Z
import os import sys sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) from classes.Future_Value import FutureValue def test_future_value_regular(): test_a = FutureValue(10000000, 8.7, 5, 1, False) assert round(test_a.calculate()) == 15175665.0, "Should be $15,175,665.0" d...
28.823529
82
0.697959
159
980
4.09434
0.396226
0.101382
0.099846
0.138249
0.201229
0
0
0
0
0
0
0.161871
0.14898
980
33
83
29.69697
0.618705
0
0
0
0
0
0.109407
0
0
0
0
0
0.263158
1
0.263158
false
0
0.157895
0
0.421053
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
0
0
0
1
078f8ce8514719205a2c573ffef9963e77e94b05
3,640
py
Python
src/python/transducer_aggregate.py
dptam/neural_wfst
c0cd3e340a45c13fbe47310753432d496c20eb83
[ "MIT" ]
null
null
null
src/python/transducer_aggregate.py
dptam/neural_wfst
c0cd3e340a45c13fbe47310753432d496c20eb83
[ "MIT" ]
null
null
null
src/python/transducer_aggregate.py
dptam/neural_wfst
c0cd3e340a45c13fbe47310753432d496c20eb83
[ "MIT" ]
null
null
null
#!/usr/bin/env python ''' | Filename : transducer_aggregate.py | Description : Aggregate the predictions of pretrained transducer models. | Author : Pushpendre Rastogi | Created : Thu Dec 17 17:43:20 2015 (-0500) | Last-Updated: Fri Dec 18 01:08:46 2015 (-0500) | By: Pushpendre Rastogi | Updat...
34.339623
79
0.569231
402
3,640
4.845771
0.353234
0.078542
0.043635
0.023101
0.249487
0.179158
0.179158
0.144251
0.144251
0.063655
0
0.025503
0.235165
3,640
105
80
34.666667
0.67421
0.220604
0
0
0
0
0.144165
0.105721
0
0
0
0
0
0
null
null
0
0.055556
null
null
0.037037
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
0
0
0
0
0
1
0790c81bac781474a16eff0194da3c96835869ad
2,570
py
Python
src/rain.py
enurinm/LearnPython
d3422d3fe1491628c95f15e2d8ba55968e4ae0bd
[ "MIT" ]
null
null
null
src/rain.py
enurinm/LearnPython
d3422d3fe1491628c95f15e2d8ba55968e4ae0bd
[ "MIT" ]
null
null
null
src/rain.py
enurinm/LearnPython
d3422d3fe1491628c95f15e2d8ba55968e4ae0bd
[ "MIT" ]
null
null
null
import pygame, sys, random from pygame.locals import* pygame.init() pygame.display.set_caption("rain") screen=pygame.display.set_mode((1000,600)) clock=pygame.time.Clock() raindrop_spawn_time=0 camerlyn_default=pygame.image.load("./img/Camerlyn_umbrella.png").convert() camerlyn_right=pygame.image.load("./img/Camerlyn...
24.245283
90
0.583268
344
2,570
4.212209
0.258721
0.05176
0.043478
0.048309
0.189096
0.049689
0.049689
0.049689
0
0
0
0.034483
0.277821
2,570
105
91
24.47619
0.746228
0.014786
0
0.285714
0
0
0.03927
0.037683
0
0
0
0
0
1
0.095238
false
0.166667
0.02381
0
0.166667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1
07927937314c6b62a4109d95d5d29fbf72436a26
14,225
py
Python
leveldb_mcpe/setupnx.py
skinny121/MCEdit-TallWorlds
e43fe889fde0ce41652ab77d7887a2a680846312
[ "0BSD" ]
5
2015-05-18T06:22:54.000Z
2020-08-04T08:27:02.000Z
leveldb_mcpe/setupnx.py
skinny121/MCEdit-TallWorlds
e43fe889fde0ce41652ab77d7887a2a680846312
[ "0BSD" ]
null
null
null
leveldb_mcpe/setupnx.py
skinny121/MCEdit-TallWorlds
e43fe889fde0ce41652ab77d7887a2a680846312
[ "0BSD" ]
null
null
null
#!/usr/bin/python2 # -*- coding: utf-8 # # setupnx.py # # Build leveldb-mcpe for MCEdit-unified. # # D.C.-G. (LaChal) 2015 # from setuptools import setup from distutils.extension import Extension import os import sys import platform extra_compile_args = ["-DDLLX="] extra_link_args = [] define_macros = [] runtime_libra...
37.832447
474
0.622496
2,062
14,225
4.200776
0.174103
0.057146
0.02078
0.008889
0.309859
0.257908
0.188871
0.13692
0.118102
0.113138
0
0.01141
0.229877
14,225
375
475
37.933333
0.779279
0.130756
0
0.244898
0
0.020408
0.353118
0.038081
0
0
0
0.002667
0
0
null
null
0.006803
0.020408
null
null
0.142857
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
0
0
0
0
0
1
0798a4e3553c657096caebba5ef2314e0ebe4e2b
704
py
Python
myia/ir/__init__.py
fosterrath-mila/myia
b4382bd6eb53c709136a6142ee517e0b92d7baed
[ "MIT" ]
null
null
null
myia/ir/__init__.py
fosterrath-mila/myia
b4382bd6eb53c709136a6142ee517e0b92d7baed
[ "MIT" ]
null
null
null
myia/ir/__init__.py
fosterrath-mila/myia
b4382bd6eb53c709136a6142ee517e0b92d7baed
[ "MIT" ]
null
null
null
"""Main exports for ir submodule.""" from .abstract import Node # noqa from .anf import ( # noqa ANFNode, Apply, Constant, Graph, Parameter, Special, VarNode, ) from .clone import ( # noqa BasicRemapper, CloneRemapper, GraphCloner, GraphRemapper, RemapperSet, clon...
19.027027
76
0.667614
73
704
6.273973
0.643836
0.052402
0.048035
0
0
0
0
0
0
0
0
0
0.255682
704
36
77
19.555556
0.874046
0.086648
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.176471
0
0.176471
0.029412
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
1
079a322ea871c9d3e74c37f3551b9ebd463a1ffc
3,406
py
Python
examples/std_prob_3/run.py
davidcortesortuno/finmag
9ac0268d2c0e45faf1284cee52a73525aa589e2b
[ "BSL-1.0" ]
10
2018-03-24T07:43:17.000Z
2022-03-26T10:42:27.000Z
examples/std_prob_3/run.py
davidcortesortuno/finmag
9ac0268d2c0e45faf1284cee52a73525aa589e2b
[ "BSL-1.0" ]
21
2018-03-26T15:08:53.000Z
2021-07-10T16:11:14.000Z
examples/std_prob_3/run.py
davidcortesortuno/finmag
9ac0268d2c0e45faf1284cee52a73525aa589e2b
[ "BSL-1.0" ]
7
2018-04-09T11:50:48.000Z
2021-06-10T09:23:25.000Z
import os import time import logging import numpy as np import dolfin as df from scipy.optimize import bisect from finmag import Simulation from finmag.energies import UniaxialAnisotropy, Exchange, Demag MODULE_DIR = os.path.dirname(os.path.abspath(__file__)) """ Micromag Standard Problem #3 specification: http:...
33.722772
92
0.632707
511
3,406
4.074364
0.379648
0.014409
0.008646
0.020173
0.183958
0.183958
0.126321
0.126321
0.061479
0.061479
0
0.03785
0.22431
3,406
100
93
34.06
0.750189
0.105989
0
0.046154
0
0
0.076803
0
0
0
0
0
0
0
null
null
0
0.138462
null
null
0.046154
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
0
0
0
0
0
1
079a592c273e23c109b026c80c5f35eacadd7f2f
1,261
py
Python
channel-wise-position-encoding/models/conv_circular.py
islamamirul/PermuteNet
842591892d5b3af0e175a99b21c8e4e7cd7bd94b
[ "MIT" ]
26
2021-08-19T02:37:26.000Z
2022-03-14T06:54:30.000Z
channel-wise-position-encoding/models/conv_circular.py
islamamirul/PermuteNet
842591892d5b3af0e175a99b21c8e4e7cd7bd94b
[ "MIT" ]
1
2022-03-15T07:40:54.000Z
2022-03-15T07:40:54.000Z
channel-wise-position-encoding/models/conv_circular.py
islamamirul/PermuteNet
842591892d5b3af0e175a99b21c8e4e7cd7bd94b
[ "MIT" ]
null
null
null
import torch import torchvision import torchvision.transforms as transforms import numpy as np import torch.nn as nn import torch.nn.functional as F class conv2d_circular(nn.Conv2d): def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, n...
45.035714
119
0.630452
172
1,261
4.476744
0.25
0.128571
0.109091
0.062338
0.51039
0.392208
0.319481
0.163636
0.062338
0
0
0.030928
0.230769
1,261
27
120
46.703704
0.762887
0.341792
0
0
0
0
0.009744
0
0
0
0
0
0
1
0.142857
false
0
0.428571
0
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
0
0
0
1
0
0
0
0
1
079dfdea450949f317dc59c1bfcc1b4bec260b95
7,938
py
Python
camect/__init__.py
bdwilson/camect-py
5e22edb1182e7b76f7452d7e4a1e59566a8b958a
[ "MIT" ]
null
null
null
camect/__init__.py
bdwilson/camect-py
5e22edb1182e7b76f7452d7e4a1e59566a8b958a
[ "MIT" ]
null
null
null
camect/__init__.py
bdwilson/camect-py
5e22edb1182e7b76f7452d7e4a1e59566a8b958a
[ "MIT" ]
null
null
null
"""Client API for Camect.""" import asyncio import base64 import json import logging import ssl import sys from threading import Thread import time from typing import Callable, Dict, List import urllib3 import requests import websockets EMBEDDED_BUNDLE_JS = "js/embedded_bundle.min.js" _LOGGER = logging.getLogger(__...
39.103448
100
0.595994
951
7,938
4.772871
0.235542
0.026438
0.037013
0.030844
0.473893
0.457149
0.430051
0.389072
0.32386
0.285085
0
0.01086
0.280801
7,938
202
101
39.29703
0.7842
0.08642
0
0.326797
0
0
0.130889
0.011988
0
0
0
0
0
1
0.124183
false
0.065359
0.078431
0.03268
0.339869
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
0
0
0
1
07a4086b2e8e2a75d3afd39fcb0576ecfa03bc00
688
py
Python
object-oriented-programming/src/oop-abstract-class.py
giserh/book-python
ebd4e70cea1dd56986aa8efbae3629ba3f1ba087
[ "MIT" ]
1
2019-01-02T15:04:08.000Z
2019-01-02T15:04:08.000Z
object-oriented-programming/src/oop-abstract-class.py
giserh/book-python
ebd4e70cea1dd56986aa8efbae3629ba3f1ba087
[ "MIT" ]
null
null
null
object-oriented-programming/src/oop-abstract-class.py
giserh/book-python
ebd4e70cea1dd56986aa8efbae3629ba3f1ba087
[ "MIT" ]
null
null
null
from abc import ABC, abstractmethod class Document(ABC): def __init__(self, filename): self.filename = filename @abstractmethod def display(self): with open(self.filename) as file: return file.read() class PDFDocument(Document): def display(self): content = super...
22.933333
118
0.668605
77
688
5.922078
0.415584
0.078947
0.092105
0.096491
0.127193
0
0
0
0
0
0
0.00565
0.228198
688
29
119
23.724138
0.853107
0.225291
0
0.176471
0
0
0.045369
0
0
0
0
0
0
1
0.235294
false
0
0.058824
0
0.529412
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
0
0
0
1
07a44c8b85649b6f44c34e3c633623f43a03dd10
1,445
py
Python
alipay/aop/api/response/AlipayCommerceEducateXuexinIdentityQueryResponse.py
antopen/alipay-sdk-python-all
8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c
[ "Apache-2.0" ]
213
2018-08-27T16:49:32.000Z
2021-12-29T04:34:12.000Z
alipay/aop/api/response/AlipayCommerceEducateXuexinIdentityQueryResponse.py
antopen/alipay-sdk-python-all
8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c
[ "Apache-2.0" ]
29
2018-09-29T06:43:00.000Z
2021-09-02T03:27:32.000Z
alipay/aop/api/response/AlipayCommerceEducateXuexinIdentityQueryResponse.py
antopen/alipay-sdk-python-all
8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c
[ "Apache-2.0" ]
59
2018-08-27T16:59:26.000Z
2022-03-25T10:08:15.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.response.AlipayResponse import AlipayResponse class AlipayCommerceEducateXuexinIdentityQueryResponse(AlipayResponse): def __init__(self): super(AlipayCommerceEducateXuexinIdentityQueryResponse, self).__init__() self._c...
31.413043
121
0.710727
160
1,445
6.05
0.23125
0.120868
0.14876
0.082645
0.047521
0
0
0
0
0
0
0.000877
0.211073
1,445
45
122
32.111111
0.848246
0.029066
0
0.088235
0
0
0.059957
0
0
0
0
0
0
1
0.235294
false
0
0.058824
0.088235
0.411765
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
1
07a69714efe2b1c9b3789bada166194fadc0b1e1
417
py
Python
src/prefect/tasks/sql_server/__init__.py
heyitskevin/prefect
8ce99d9752b175eeaf8a0b15ba3d0a80c221b69e
[ "Apache-2.0" ]
null
null
null
src/prefect/tasks/sql_server/__init__.py
heyitskevin/prefect
8ce99d9752b175eeaf8a0b15ba3d0a80c221b69e
[ "Apache-2.0" ]
1
2020-05-24T17:04:47.000Z
2020-05-24T17:04:47.000Z
src/prefect/tasks/sql_server/__init__.py
heyitskevin/prefect
8ce99d9752b175eeaf8a0b15ba3d0a80c221b69e
[ "Apache-2.0" ]
null
null
null
""" This module contains a collection of tasks for interacting with SQL Server databases via the pyodbc library. """ try: from prefect.tasks.sql_server.sql_server import ( SqlServerExecute, SqlServerExecuteMany, SqlServerFetch, ) except ImportError: raise ImportError( 'Using...
26.0625
104
0.709832
48
417
6.083333
0.6875
0.15411
0.10274
0.143836
0
0
0
0
0
0
0
0
0.223022
417
15
105
27.8
0.901235
0.258993
0
0
0
0
0.312292
0.086379
0
0
0
0
0
1
0
true
0
0.3
0
0.3
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
1
07af3426f276600d685add08dc47f3e16c10446d
276
py
Python
trapPersonInPrison.py
leha-code/youtube-mcpi-trapPeople
8ed7a7582e050b5bc1ce8394025e0986dafd54a1
[ "MIT" ]
null
null
null
trapPersonInPrison.py
leha-code/youtube-mcpi-trapPeople
8ed7a7582e050b5bc1ce8394025e0986dafd54a1
[ "MIT" ]
null
null
null
trapPersonInPrison.py
leha-code/youtube-mcpi-trapPeople
8ed7a7582e050b5bc1ce8394025e0986dafd54a1
[ "MIT" ]
1
2021-04-09T07:28:51.000Z
2021-04-09T07:28:51.000Z
x,y,z = -59,27,-22 #my prison coordinates, change that to yours from mcpi.minecraft import Minecraft mc = Minecraft.create() print(mc.getPlayerEntityIds()) choice = int(input('which one?')) mc.entity.setTilePos(choice,(x,y,z)) mc.setting('world_immutable',True) print('done')
30.666667
63
0.742754
43
276
4.744186
0.767442
0.019608
0.029412
0
0
0
0
0
0
0
0
0.023904
0.09058
276
8
64
34.5
0.788845
0.155797
0
0
0
0
0.125
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0.25
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
0
0
0
0
0
1
07b03af3e744590b54a5e5262e90d1817031f6df
616
py
Python
var/spack/repos/builtin/packages/r-stabledist/package.py
player1537-forks/spack
822b7632222ec5a91dc7b7cda5fc0e08715bd47c
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
11
2015-10-04T02:17:46.000Z
2018-02-07T18:23:00.000Z
var/spack/repos/builtin/packages/r-stabledist/package.py
player1537-forks/spack
822b7632222ec5a91dc7b7cda5fc0e08715bd47c
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
22
2017-08-01T22:45:10.000Z
2022-03-10T07:46:31.000Z
var/spack/repos/builtin/packages/r-stabledist/package.py
player1537-forks/spack
822b7632222ec5a91dc7b7cda5fc0e08715bd47c
[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]
4
2016-06-10T17:57:39.000Z
2018-09-11T04:59:38.000Z
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RStabledist(RPackage): """Stable Distribution Functions. Density, Probability and Qua...
30.8
95
0.746753
73
616
6.287671
0.849315
0
0
0
0
0
0
0
0
0
0
0.120459
0.150974
616
19
96
32.421053
0.75717
0.592532
0
0
0
0
0.405983
0.273504
0
0
0
0
0
1
0
false
0
0.2
0
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
0
1
0
0
1
07bfdcce0b277e5107e5e90bc27e9cda658a4843
271
py
Python
09.Printing Stars in C Shape.py
Kushal997-das/Pattern_Printing
313c7984209e54df8751a06143d0b10e0cd4b2be
[ "Apache-2.0" ]
27
2020-10-16T03:55:24.000Z
2022-02-02T13:47:06.000Z
09.Printing Stars in C Shape.py
https-github-com-Kushal997-das/Pattern_Printing
313c7984209e54df8751a06143d0b10e0cd4b2be
[ "Apache-2.0" ]
null
null
null
09.Printing Stars in C Shape.py
https-github-com-Kushal997-das/Pattern_Printing
313c7984209e54df8751a06143d0b10e0cd4b2be
[ "Apache-2.0" ]
2
2020-11-27T04:51:29.000Z
2021-06-04T03:34:37.000Z
#Printing Stars in 'C' Shape ! ''' **** * * * * * **** ''' for row in range(7): for col in range(5): if (col==0 and (row!=0 and row!=6)) or (row==0 or row==6) and (col>0): print('*',end='') else: print(end=' ') print()
14.263158
78
0.416974
39
271
2.897436
0.487179
0.123894
0.123894
0
0
0
0
0
0
0
0
0.044693
0.339483
271
19
79
14.263158
0.586592
0.184502
0
0
0
0
0.009434
0
0
0
0
0
0
1
0
false
0
0
0
0
0.428571
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
1
0
1
07c1e94e9c25a2880118725c44277546aa060086
3,111
py
Python
opencensus/tags/tag_map.py
wkiser/opencensus-python
d328d17f48bb71d8ba13a2f6058eb39964377966
[ "Apache-2.0" ]
null
null
null
opencensus/tags/tag_map.py
wkiser/opencensus-python
d328d17f48bb71d8ba13a2f6058eb39964377966
[ "Apache-2.0" ]
1
2018-04-08T18:01:16.000Z
2018-04-08T18:01:16.000Z
opencensus/tags/tag_map.py
kcooperstein/opencensus-python
d7aab849b263b329dd264dda274b582d2e365634
[ "Apache-2.0" ]
null
null
null
# Copyright 2018, OpenCensus Authors # # 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 w...
30.203883
78
0.606236
477
3,111
3.903564
0.253669
0.035446
0.030075
0.047261
0.1971
0.168099
0.168099
0.168099
0.139098
0.139098
0
0.003754
0.315011
3,111
102
79
30.5
0.870014
0.60495
0
0.071429
0
0
0.018888
0
0
0
0
0
0
1
0.25
false
0
0
0
0.392857
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
0
0
0
1
07c5ff9466247c3580f1b2a3c8436af489336b11
445
py
Python
setup.py
tristan/blockies
a129375a0095579ca3fc5634a2da3dcef487bb0a
[ "WTFPL" ]
3
2018-01-09T08:17:54.000Z
2021-11-06T17:46:35.000Z
setup.py
tristan/blockies
a129375a0095579ca3fc5634a2da3dcef487bb0a
[ "WTFPL" ]
3
2021-03-18T20:25:36.000Z
2022-01-13T00:42:23.000Z
setup.py
tristan/blockies
a129375a0095579ca3fc5634a2da3dcef487bb0a
[ "WTFPL" ]
1
2021-09-01T21:16:19.000Z
2021-09-01T21:16:19.000Z
from setuptools import setup setup( name='blockies', version='0.0.3', author='Tristan King', author_email='tristan.king@gmail.com', py_modules=['blockies'], url='http://github.com/tristan/blockies', description='A tiny library for generating blocky identicons.', long_description_content...
29.666667
67
0.703371
55
445
5.563636
0.745455
0.071895
0
0
0
0
0
0
0
0
0
0.007874
0.14382
445
14
68
31.785714
0.795276
0
0
0
0
0
0.393258
0.049438
0
0
0
0
0
1
0
true
0
0.076923
0
0.076923
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
1
07c728a0505a1ab24313972307eb225721bcde66
4,862
py
Python
run.py
ncanceill/atlas-dnssec
1a248c01cfb4fbbbe01a9a9f37cfd916ecc3a1ed
[ "MIT" ]
4
2016-02-15T06:15:15.000Z
2018-06-25T10:21:17.000Z
run.py
ncanceill/atlas-dnssec
1a248c01cfb4fbbbe01a9a9f37cfd916ecc3a1ed
[ "MIT" ]
null
null
null
run.py
ncanceill/atlas-dnssec
1a248c01cfb4fbbbe01a9a9f37cfd916ecc3a1ed
[ "MIT" ]
null
null
null
# # run.py # Run measurements with captures and compute results # # This file distributes under: The MIT License (MIT) # # Copyright (c) 2014 Nicolas Canceill # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal ...
26.423913
79
0.680173
784
4,862
4.188776
0.339286
0.033496
0.014616
0.010962
0.09592
0.083435
0.04324
0.04324
0.04324
0.022534
0
0.014053
0.165775
4,862
183
80
26.568306
0.795611
0.262649
0
0.126761
0
0
0.163893
0.00677
0
0
0
0
0
0
null
null
0.007042
0.056338
null
null
0.15493
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
0
0
0
0
0
1
07cb98154f61ef242051fcfcb3bcc685fc42d2bb
434
py
Python
backend/users/migrations/0003_catenauser_public_key.py
J1149/catena
370d188c413939bf726a0e76f0a101b48c5b81f4
[ "MIT" ]
null
null
null
backend/users/migrations/0003_catenauser_public_key.py
J1149/catena
370d188c413939bf726a0e76f0a101b48c5b81f4
[ "MIT" ]
null
null
null
backend/users/migrations/0003_catenauser_public_key.py
J1149/catena
370d188c413939bf726a0e76f0a101b48c5b81f4
[ "MIT" ]
null
null
null
# Generated by Django 3.1.2 on 2020-12-21 03:34 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0002_catenauser_access_token'), ] operations = [ migrations.AddField( model_name='catenauser', name='public...
22.842105
89
0.62212
49
434
5.367347
0.795918
0.076046
0.098859
0
0
0
0
0
0
0
0
0.065625
0.262673
434
18
90
24.111111
0.75625
0.103687
0
0
1
0
0.162791
0.072351
0
0
0
0
0
1
0
false
0
0.083333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
07cf287a25a9fe35eeaf6739a53b09bf1684c085
2,361
py
Python
base/api/views.py
Ajay2810-hub/EbooksPortal
70f3ffe803a1da879a17449c6a7b7fb208b0ca58
[ "MIT" ]
null
null
null
base/api/views.py
Ajay2810-hub/EbooksPortal
70f3ffe803a1da879a17449c6a7b7fb208b0ca58
[ "MIT" ]
null
null
null
base/api/views.py
Ajay2810-hub/EbooksPortal
70f3ffe803a1da879a17449c6a7b7fb208b0ca58
[ "MIT" ]
null
null
null
from .serializers import * from .filtersets import * from books.models import * from papers.models import * from rest_framework.viewsets import ModelViewSet from rest_framework.permissions import AllowAny from rest_framework.views import APIView from rest_framework.response import Response # Create your views here. cl...
31.48
81
0.701398
235
2,361
6.893617
0.319149
0.055556
0.116667
0.033333
0.133951
0.089506
0.089506
0.089506
0.089506
0.061728
0
0
0.22194
2,361
75
82
31.48
0.881873
0.009742
0
0.098361
0
0
0.025674
0
0
0
0
0
0
1
0.065574
false
0
0.131148
0
0.704918
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
07d1783ddccc84ed10a3ecd711ab36cbfc9513ef
426
py
Python
tensorcv/train/trainer/trainer.py
afcarl/tensorcv
6545a48722dafb5c1cead3ed4f810ebcbef2c597
[ "MIT" ]
1
2019-04-22T16:37:36.000Z
2019-04-22T16:37:36.000Z
tensorcv/train/trainer/trainer.py
afcarl/tensorcv
6545a48722dafb5c1cead3ed4f810ebcbef2c597
[ "MIT" ]
null
null
null
tensorcv/train/trainer/trainer.py
afcarl/tensorcv
6545a48722dafb5c1cead3ed4f810ebcbef2c597
[ "MIT" ]
null
null
null
import tensorflow as tf class Trainer(object): def __init__(self, config): self.config = config def get_run_config(self): run_config = tf.estimator.RunConfig( model_dir=self.config.model_dir, save_summary_steps=self.config.summary_steps, keep_checkpoint_max...
23.666667
57
0.661972
52
426
5.096154
0.538462
0.150943
0.090566
0
0
0
0
0
0
0
0
0
0.262911
426
17
58
25.058824
0.843949
0
0
0
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.083333
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
1
0
0
0
0
0
0
0
1
07d2d28ced47701e25fea40cf268a61e7697789f
631
py
Python
Aula_15_Abrir_Arquivo.py
DiegoGomesFerreira/Aulas-Tkinter
3b977b61aaa973c2bea1f6e74f564d2e6c9c3873
[ "MIT" ]
null
null
null
Aula_15_Abrir_Arquivo.py
DiegoGomesFerreira/Aulas-Tkinter
3b977b61aaa973c2bea1f6e74f564d2e6c9c3873
[ "MIT" ]
null
null
null
Aula_15_Abrir_Arquivo.py
DiegoGomesFerreira/Aulas-Tkinter
3b977b61aaa973c2bea1f6e74f564d2e6c9c3873
[ "MIT" ]
null
null
null
from tkinter import * from tkinter import filedialog from PIL import Image,ImageTk def open(): global lbl global img_lbl global imagem root.filename = filedialog.askopenfilename(initialdir = "/Aulas-Tkinter", title = "Selecionar Arquivo", filetypes = (("png files", "*.png"), ("all files", "*.*")))...
26.291667
107
0.678288
79
631
5.392405
0.518987
0.084507
0.079812
0
0
0
0
0
0
0
0
0.003817
0.169572
631
24
108
26.291667
0.80916
0
0
0
0
0
0.142405
0
0
0
0
0
0
1
0.055556
false
0.055556
0.166667
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1
07d61db3b1111b7cd54e2a9801b8c535987f5d8d
565
py
Python
loss_framework/loss_result.py
diversemix/calc-hurricane-loss
e913569f800147e946929bfa0f9d1ecf399af710
[ "MIT" ]
1
2021-04-08T03:05:10.000Z
2021-04-08T03:05:10.000Z
loss_framework/loss_result.py
diversemix/calc-hurricane-loss
e913569f800147e946929bfa0f9d1ecf399af710
[ "MIT" ]
1
2020-01-19T12:51:57.000Z
2020-01-19T14:03:01.000Z
loss_framework/loss_result.py
diversemix/calc-hurricane-loss
e913569f800147e946929bfa0f9d1ecf399af710
[ "MIT" ]
1
2021-04-08T03:05:14.000Z
2021-04-08T03:05:14.000Z
from dataclasses import dataclass @dataclass class LossResult: """ LossResult - Responsible for keeping the current result coherent (mathamatically). """ num_years: int = 0 total_loss: float = 0 def add_annual_loss(self, loss: float) -> None: self.num_years += 1 self.total_los...
26.904762
131
0.631858
71
565
4.830986
0.549296
0.116618
0.139942
0
0
0
0
0
0
0
0
0.009662
0.267257
565
20
132
28.25
0.818841
0.145133
0
0
0
0
0.132762
0
0
0
0
0
0
1
0.153846
false
0
0.076923
0
0.615385
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
07d6672c75fd31e3727394e57bb7596ac50a0986
8,526
py
Python
tests/property/strategies.py
CristianoPizzamiglio/scikit-spatial
95ca2d4f2948cf6a69ec4bc7236b70fd66db1de5
[ "BSD-3-Clause" ]
35
2019-08-22T04:25:29.000Z
2022-03-10T16:23:45.000Z
tests/property/strategies.py
CristianoPizzamiglio/scikit-spatial
95ca2d4f2948cf6a69ec4bc7236b70fd66db1de5
[ "BSD-3-Clause" ]
241
2019-03-04T23:08:26.000Z
2022-03-27T13:25:30.000Z
tests/property/strategies.py
CristianoPizzamiglio/scikit-spatial
95ca2d4f2948cf6a69ec4bc7236b70fd66db1de5
[ "BSD-3-Clause" ]
7
2020-11-13T21:40:05.000Z
2022-02-07T00:38:30.000Z
"""Custom strategies for property tests.""" import hypothesis.strategies as st from hypothesis import assume from skspatial.objects import Circle from skspatial.objects import Line from skspatial.objects import Plane from skspatial.objects import Point from skspatial.objects import Points from skspatial.objects import...
22.377953
99
0.616115
1,044
8,526
4.944444
0.108238
0.018597
0.015692
0.050368
0.621658
0.5432
0.466292
0.418636
0.36943
0.367493
0
0.019753
0.239972
8,526
380
100
22.436842
0.776852
0.591485
0
0.2
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0.2
0
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
0
1
0
0
1
07dc28be04df2d8f334007e888e6d8ad5248c87b
6,221
py
Python
apps/auths/views.py
viallymboma/mlm_osw_network
d46a938f4a1295b59e863105926f9c249de00f9e
[ "MIT" ]
null
null
null
apps/auths/views.py
viallymboma/mlm_osw_network
d46a938f4a1295b59e863105926f9c249de00f9e
[ "MIT" ]
null
null
null
apps/auths/views.py
viallymboma/mlm_osw_network
d46a938f4a1295b59e863105926f9c249de00f9e
[ "MIT" ]
null
null
null
from django.shortcuts import render, redirect from django import template from django.contrib.auth.decorators import login_required from django.contrib.auth import authenticate, login as auth_login from django.http import HttpResponse, HttpResponseRedirect, JsonResponse import json from django.core.exceptions import Pe...
23.387218
99
0.613888
665
6,221
5.631579
0.207519
0.060881
0.048064
0.056075
0.465421
0.411482
0.375701
0.299065
0.230174
0.179706
0
0.006143
0.26732
6,221
265
100
23.475472
0.815489
0.415689
0
0.369048
0
0
0.094864
0.009262
0
0
0
0
0
1
0.107143
false
0.095238
0.142857
0.035714
0.428571
0.059524
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
0
0
0
1
07dcdc5679e4602bfec25ef60d237ce2f77ae079
17,613
py
Python
Python27/Lib/test/test_functools.py
Jeff-Tian/mybnb
1a42890a1d2f1344d5465f8be10c42df01964f5a
[ "Apache-2.0" ]
1
2019-05-17T08:58:11.000Z
2019-05-17T08:58:11.000Z
Python27/Lib/test/test_functools.py
Jeff-Tian/mybnb
1a42890a1d2f1344d5465f8be10c42df01964f5a
[ "Apache-2.0" ]
2
2016-12-12T05:54:58.000Z
2016-12-12T05:55:44.000Z
Python27/Lib/test/test_functools.py
Jeff-Tian/mybnb
1a42890a1d2f1344d5465f8be10c42df01964f5a
[ "Apache-2.0" ]
null
null
null
import functools import sys import unittest from test import test_support from weakref import proxy import pickle @staticmethod def PythonPartial(func, *args, **keywords): 'Pure Python approximation of partial()' def newfunc(*fargs, **fkeywords): newkeywords = keywords.copy() newkey...
35.155689
88
0.548288
2,093
17,613
4.462972
0.136646
0.083503
0.048175
0.027406
0.554437
0.493844
0.437212
0.410663
0.389359
0.379938
0
0.026965
0.328337
17,613
500
89
35.226
0.762637
0.049339
0
0.418886
0
0
0.039085
0
0
0
0
0
0.261501
0
null
null
0.043584
0.016949
null
null
0.002421
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
0
0
0
0
0
1
07dd99dbec781310d88550cfd37c51f00a2b6926
8,456
py
Python
sdk/python/pulumi_linode/get_domain.py
Mattlk13/pulumi-linode
945de6c6b321a4d58b9a354cac53019b28d49732
[ "ECL-2.0", "Apache-2.0" ]
null
null
null
sdk/python/pulumi_linode/get_domain.py
Mattlk13/pulumi-linode
945de6c6b321a4d58b9a354cac53019b28d49732
[ "ECL-2.0", "Apache-2.0" ]
1
2020-11-09T14:38:57.000Z
2020-11-09T14:38:57.000Z
sdk/python/pulumi_linode/get_domain.py
Mattlk13/pulumi-linode
945de6c6b321a4d58b9a354cac53019b28d49732
[ "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, Mapping, Optional, Sequence, Union from . import _utilities...
35.830508
227
0.65421
1,101
8,456
4.798365
0.190736
0.0159
0.0424
0.0795
0.287337
0.206133
0.131175
0.041643
0
0
0
0.001255
0.246216
8,456
235
228
35.982979
0.827581
0.238647
0
0.134615
1
0
0.143333
0.008889
0
0
0
0
0
1
0.108974
false
0
0.032051
0.089744
0.25641
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
0
0
0
1
07de2fd0a26e2e5d01e1bf6265fdf31eb31ad465
287
py
Python
src/data/monuseg/evalutation.py
voreille/2d_bispectrum_cnn
ba8f26f6a557602bc3343c4562c83a3de914c67e
[ "MIT" ]
null
null
null
src/data/monuseg/evalutation.py
voreille/2d_bispectrum_cnn
ba8f26f6a557602bc3343c4562c83a3de914c67e
[ "MIT" ]
null
null
null
src/data/monuseg/evalutation.py
voreille/2d_bispectrum_cnn
ba8f26f6a557602bc3343c4562c83a3de914c67e
[ "MIT" ]
null
null
null
import numpy as np from scipy.ndimage import watershed_ift from skimage.measure import label def watershed_prediction(y_pred): markers = label(y_pred[..., 0]) markers[y_pred[..., 2]] = -1 y_pred = watershed_ift((y_pred[..., 1]).astype(np.uint8), markers) return y_pred
26.090909
70
0.696864
44
287
4.340909
0.522727
0.157068
0
0
0
0
0
0
0
0
0
0.020833
0.163763
287
10
71
28.7
0.775
0
0
0
0
0
0
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
0
0
0
1
07e1777ace1e53a73adfa3c87558fc80fc9d6d91
12,803
py
Python
rom_generator/meta/scripting.py
ikarth/game-boy-rom-generator
29576a4bbe87a0032f80967d4b740059a65ea5c9
[ "MIT" ]
3
2021-08-07T03:38:02.000Z
2021-09-17T14:33:27.000Z
rom_generator/meta/scripting.py
ikarth/game-boy-rom-generator
29576a4bbe87a0032f80967d4b740059a65ea5c9
[ "MIT" ]
null
null
null
rom_generator/meta/scripting.py
ikarth/game-boy-rom-generator
29576a4bbe87a0032f80967d4b740059a65ea5c9
[ "MIT" ]
null
null
null
### Script Commands ### script_commands = { "EVENT_END": {}, # no arguments "EVENT_STOP": {}, # no arguments, same as end "EVENT_WAIT": { "time": 0.5 }, # Scenes "EVENT_SWITCH_SCENE": { "sceneId": "498cfdcf-3000-453f-9b52-fe5d8d81cac2", "x": 7, "y": 6...
29.164009
1,577
0.507381
1,239
12,803
4.867635
0.221146
0.038136
0.028022
0.043276
0.306417
0.24772
0.203283
0.179241
0.131985
0.115072
0
0.039514
0.312114
12,803
438
1,578
29.230594
0.645282
0.049207
0
0.337379
0
0
0.471963
0.125075
0
0
0
0
0
1
0.002427
false
0
0.002427
0.002427
0.007282
0.007282
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
07e470aa7b5558bd7499449d9750bb7e93fd35d1
1,120
py
Python
util/view_finder.py
rkoval/SublimeDiffView
57744b5626851085f49511c225b87c9465c0e7ad
[ "MIT" ]
23
2015-12-14T12:10:49.000Z
2020-11-28T10:26:52.000Z
util/view_finder.py
rkoval/SublimeDiffView
57744b5626851085f49511c225b87c9465c0e7ad
[ "MIT" ]
59
2015-12-14T08:58:21.000Z
2021-04-09T11:46:00.000Z
util/view_finder.py
rkoval/SublimeDiffView
57744b5626851085f49511c225b87c9465c0e7ad
[ "MIT" ]
7
2016-01-09T11:47:07.000Z
2020-03-16T15:11:32.000Z
import sublime_plugin class ViewFinder(sublime_plugin.EventListener): """Helper class for finding widgets that are created.""" _instance = None def __init__(self): """Constructor. Do not call directly - use `ViewFinder.instance()` instead. """ self.__class__._instance = s...
24.888889
68
0.58125
125
1,120
5.032
0.432
0.103339
0.085851
0
0
0
0
0
0
0
0
0
0.326786
1,120
44
69
25.454545
0.834218
0.31875
0
0.142857
0
0
0.013433
0
0
0
0
0
0
1
0.238095
false
0
0.047619
0
0.47619
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
0
0
0
1
07e80553e4ba7f3a4f65df0edfbdf8030af61bcd
7,228
py
Python
gennotes_server/settings.py
madprime/gennotes
8151f5b401faf2dedd2daf7952c3346f2d4d2858
[ "MIT" ]
2
2017-03-21T19:52:18.000Z
2017-08-03T10:57:56.000Z
gennotes_server/settings.py
madprime/gennotes
8151f5b401faf2dedd2daf7952c3346f2d4d2858
[ "MIT" ]
null
null
null
gennotes_server/settings.py
madprime/gennotes
8151f5b401faf2dedd2daf7952c3346f2d4d2858
[ "MIT" ]
null
null
null
""" Django settings for gennotes_server project. Generated by 'django-admin startproject' using Django 1.8. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ import...
31.155172
90
0.723298
854
7,228
5.918033
0.348946
0.038583
0.022556
0.019786
0.059161
0.041156
0.027107
0.027107
0
0
0
0.006788
0.164361
7,228
231
91
31.290043
0.829967
0.236303
0
0.02069
1
0
0.440146
0.300182
0
0
0
0
0
1
0
false
0.02069
0.034483
0
0.034483
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
07e8f666efd1b4dde3af6c27c5d9d3646d216262
165
py
Python
Online-Judges/DimikOJ/Python/28-ramdom-array.py
shihab4t/Competitive-Programming
e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be
[ "Unlicense" ]
3
2021-06-15T01:19:23.000Z
2022-03-16T18:23:53.000Z
Online-Judges/DimikOJ/Python/28-ramdom-array.py
shihab4t/Competitive-Programming
e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be
[ "Unlicense" ]
null
null
null
Online-Judges/DimikOJ/Python/28-ramdom-array.py
shihab4t/Competitive-Programming
e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be
[ "Unlicense" ]
null
null
null
material = [] for i in range(int(input())): material.append(int(input())) srted = sorted(material) if srted == material: print("YES") else: print("NO")
16.5
33
0.618182
22
165
4.636364
0.681818
0.156863
0
0
0
0
0
0
0
0
0
0
0.187879
165
10
34
16.5
0.761194
0
0
0
0
0
0.03012
0
0
0
0
0
0
1
0
false
0
0
0
0
0.25
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
0
0
0
0
0
1
07e9366183a16727b078b7aac1d8cebe9f8b0202
1,442
py
Python
modules/client/gui/optsmenu.py
bullseyestudio/guns-game
3104c44e43ea7f000f6b9e756d622f98110d0a21
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
modules/client/gui/optsmenu.py
bullseyestudio/guns-game
3104c44e43ea7f000f6b9e756d622f98110d0a21
[ "Apache-2.0", "BSD-3-Clause" ]
1
2018-11-21T04:50:57.000Z
2018-11-21T04:50:57.000Z
modules/client/gui/optsmenu.py
bullseyestudio/guns-game
3104c44e43ea7f000f6b9e756d622f98110d0a21
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
from modules.client.gui import common from modules.pgu import gui as pgui from modules.client import config hgt = common.screen.get_height() t = pgui.Table(width=common.screen.get_width(), height=hgt) t.tr() t.td(pgui.Spacer(width=150, height=80), colspan=2) t.tr() t.td(pgui.Label('Guns-game.com username', height=30...
21.848485
73
0.715673
238
1,442
4.273109
0.315126
0.029499
0.048181
0.035398
0.286136
0.286136
0.214356
0.188791
0.188791
0.100295
0
0.029065
0.117198
1,442
65
74
22.184615
0.769835
0.029126
0
0.195652
0
0
0.118741
0
0
0
0
0.015385
0
1
0.086957
false
0
0.086957
0
0.195652
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
1
0
0
0
0
0
0
0
0
0
0
1
07ef70cfe3f4ae1fd6d4aa9fd4a04957bfa16d0f
1,355
py
Python
src/lib/datasets/dataset_factory.py
jperezrua/ONCE
b717d2e4b8574970d3c0d9ca87f4ffc05f8b4ed8
[ "MIT" ]
1
2021-12-06T04:09:45.000Z
2021-12-06T04:09:45.000Z
src/lib/datasets/dataset_factory.py
jperezrua/ONCE
b717d2e4b8574970d3c0d9ca87f4ffc05f8b4ed8
[ "MIT" ]
null
null
null
src/lib/datasets/dataset_factory.py
jperezrua/ONCE
b717d2e4b8574970d3c0d9ca87f4ffc05f8b4ed8
[ "MIT" ]
null
null
null
from __future__ import absolute_import from __future__ import division from __future__ import print_function from .sample.ddd import DddDataset from .sample.exdet import EXDetDataset from .sample.ctdet import CTDetDataset from .sample.multi_pose import MultiPoseDataset from .sample.epdet import EpisodicDetDataset from...
27.1
65
0.780812
159
1,355
6.433962
0.301887
0.096774
0.087977
0
0
0
0
0
0
0
0
0
0.128413
1,355
49
66
27.653061
0.866215
0
0
0
0
0
0.093727
0
0
0
0
0
0
1
0.02381
false
0.02381
0.428571
0
0.5
0.047619
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
1
07f5adf60c4fa8063582b1193da72a4bbdac6d40
2,310
py
Python
structured/fully_connected.py
db434/nn-restrict
bc46725d01db9555e1cd9f2068b25a1dee8912ce
[ "MIT" ]
null
null
null
structured/fully_connected.py
db434/nn-restrict
bc46725d01db9555e1cd9f2068b25a1dee8912ce
[ "MIT" ]
null
null
null
structured/fully_connected.py
db434/nn-restrict
bc46725d01db9555e1cd9f2068b25a1dee8912ce
[ "MIT" ]
null
null
null
from collections import OrderedDict import torch.nn as nn from . import wrapped import modifiers.modules as quantisable class Conv2d(nn.Module): """Simple wrapper for the default convolution class. Introduced so all convolution variants have a similar interface. Adds batch normalisation to be fair, ...
34.477612
80
0.552381
237
2,310
5.244726
0.489451
0.061947
0.061142
0.054706
0.112631
0.065969
0.065969
0.065969
0
0
0
0.007571
0.370996
2,310
66
81
35
0.847901
0.350649
0
0
0
0
0.001373
0
0
0
0
0.015152
0
1
0.055556
false
0
0.111111
0.027778
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
1
0
0
0
0
0
0
0
0
0
0
1
07f6d5bbd60f7f19301a323c85752f6cc79c2b0e
6,335
py
Python
preprocess/prepare_data.py
xiaomin418/XVLP
47703a46e29ac9f8c6052c116ac38c9cae9a68ad
[ "Apache-2.0" ]
null
null
null
preprocess/prepare_data.py
xiaomin418/XVLP
47703a46e29ac9f8c6052c116ac38c9cae9a68ad
[ "Apache-2.0" ]
null
null
null
preprocess/prepare_data.py
xiaomin418/XVLP
47703a46e29ac9f8c6052c116ac38c9cae9a68ad
[ "Apache-2.0" ]
null
null
null
import torch import torch.nn as nn import torchvision.models as models from PIL import Image import torchvision.transforms as transforms import os import numpy as np import json import glob class VggEncoder(nn.Module): def __init__(self,tk_dim = 49, hidden_dim = 512, train_CNN=False): super(VggEncoder, s...
46.580882
1,594
0.614522
945
6,335
3.918519
0.221164
0.045639
0.046179
0.05104
0.392385
0.355658
0.320011
0.31353
0.256009
0.166892
0
0.050571
0.19779
6,335
135
1,595
46.925926
0.67808
0.281768
0
0.039216
0
0
0.190276
0.153812
0
0
0
0
0
1
0.04902
false
0
0.088235
0
0.176471
0.009804
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
07f731d6ab738e62ea3a047b3d696e68902f1bb6
2,293
py
Python
last_time/noise_utils.py
abdelabdalla/deepmind-research
4b7e0379ca5ba85e27f6f246fa2b0c060bd86879
[ "Apache-2.0" ]
null
null
null
last_time/noise_utils.py
abdelabdalla/deepmind-research
4b7e0379ca5ba85e27f6f246fa2b0c060bd86879
[ "Apache-2.0" ]
null
null
null
last_time/noise_utils.py
abdelabdalla/deepmind-research
4b7e0379ca5ba85e27f6f246fa2b0c060bd86879
[ "Apache-2.0" ]
null
null
null
# Lint as: python3 # pylint: disable=g-bad-file-header # Copyright 2020 DeepMind Technologies Limited. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.a...
41.690909
78
0.712604
339
2,293
4.657817
0.466077
0.065864
0.034832
0.020266
0.036732
0.036732
0.036732
0
0
0
0
0.010672
0.18273
2,293
54
79
42.462963
0.83191
0.641082
0
0
0
0
0
0
0
0
0
0.018519
0
1
0.066667
false
0
0.133333
0
0.266667
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
1
0
0
0
0
0
0
0
0
0
0
1
07f73a73b917a70f77b077be5c9e2215b3017a0e
5,664
py
Python
euler.py
Maxz44/euler
f966803375d27991bc93f3929e475383def77b7f
[ "Unlicense" ]
1
2020-11-27T19:09:07.000Z
2020-11-27T19:09:07.000Z
euler.py
Maxz44/euler
f966803375d27991bc93f3929e475383def77b7f
[ "Unlicense" ]
null
null
null
euler.py
Maxz44/euler
f966803375d27991bc93f3929e475383def77b7f
[ "Unlicense" ]
null
null
null
#!/usr/bin/env python3 # --- Euler pb 1 # Multiples of 3 and 5 # If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9. # The sum of these multiples is 23. # Find the sum of all the multiples of 3 or 5 below 1000. def euler1(n): return sum([x for x in range(1, n) if x % ...
27.362319
120
0.636653
778
5,664
4.609255
0.269923
0.01952
0.015616
0.015337
0.148912
0.135806
0.110708
0.092861
0.077803
0.04406
0
0.300553
0.265713
5,664
207
121
27.362319
0.561433
0.374294
0
0.106796
0
0
0.292669
0.286369
0
0
0
0
0
1
0.116505
false
0
0.019417
0.019417
0.262136
0.009709
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
0
0
0
0
0
0
0
1
07f90cf44763d5e2c3e0df89dfd3f57374159223
4,044
py
Python
homeassistant/components/alarm_control_panel/alarmdotcom.py
loraxx753/skynet
86a1b0a6c6a3f81bc92d4f61de6a9a6b9f964543
[ "Apache-2.0" ]
2
2017-02-25T00:27:06.000Z
2017-02-25T03:09:30.000Z
homeassistant/components/alarm_control_panel/alarmdotcom.py
1Forward1Back/home-assistant
ce24ef0c20dea0fd671d6f2c2a8b1456b4b66ba6
[ "MIT" ]
1
2017-03-10T22:17:06.000Z
2017-03-10T22:17:06.000Z
homeassistant/components/alarm_control_panel/alarmdotcom.py
1Forward1Back/home-assistant
ce24ef0c20dea0fd671d6f2c2a8b1456b4b66ba6
[ "MIT" ]
2
2018-10-22T17:05:47.000Z
2021-09-22T10:52:31.000Z
""" Interfaces with Alarm.com alarm control panels. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/alarm_control_panel.alarmdotcom/ """ import logging import voluptuous as vol import homeassistant.components.alarm_control_panel as alarm from homeassist...
34.271186
75
0.672107
499
4,044
5.242485
0.244489
0.024465
0.022936
0.055046
0.309251
0.224771
0.224771
0.212538
0.212538
0.212538
0
0.004509
0.232196
4,044
117
76
34.564103
0.838003
0.168892
0
0.194805
0
0
0.053701
0.006371
0
0
0
0
0
1
0.12987
false
0.12987
0.12987
0
0.402597
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
0
0
0
1
07f90d0879e558206b4cf92be9f7af20cd65b928
1,556
py
Python
homeassistant/components/netatmo.py
gwendalg/home-assistant
fb94aaa5a1a1e125dafb681e50c18be45dfe1b19
[ "MIT" ]
1
2017-02-12T18:44:18.000Z
2017-02-12T18:44:18.000Z
homeassistant/components/netatmo.py
gwendalg/home-assistant
fb94aaa5a1a1e125dafb681e50c18be45dfe1b19
[ "MIT" ]
null
null
null
homeassistant/components/netatmo.py
gwendalg/home-assistant
fb94aaa5a1a1e125dafb681e50c18be45dfe1b19
[ "MIT" ]
null
null
null
""" Support for the Netatmo devices (Weather Station and Welcome camera). For more details about this platform, please refer to the documentation at https://home-assistant.io/components/netatmo/ """ import logging from urllib.error import HTTPError import voluptuous as vol from homeassistant.const import ( CONF_...
27.298246
74
0.710154
199
1,556
5.376884
0.447236
0.033645
0.056075
0.053271
0.070093
0.048598
0
0
0
0
0
0.004739
0.186375
1,556
56
75
27.785714
0.840442
0.140746
0
0
0
0
0.134441
0.019637
0
0
0
0
0
1
0.027778
false
0.083333
0.194444
0
0.277778
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
0
0
0
1
07fa99f4e649a274251930b8760bf19c617bb802
1,383
py
Python
src/ga4gh/vrs/_internal/models.py
GenomicMedLab/vrs-python
4978e88396c8a718576ade805c8b1332b7108496
[ "Apache-2.0" ]
1
2017-01-10T18:47:54.000Z
2017-01-10T18:47:54.000Z
src/ga4gh/vrs/_internal/models.py
reece/vmc-python
579e73063a6927f2a2734fa47b7efc7416ca2a25
[ "Apache-2.0" ]
null
null
null
src/ga4gh/vrs/_internal/models.py
reece/vmc-python
579e73063a6927f2a2734fa47b7efc7416ca2a25
[ "Apache-2.0" ]
null
null
null
"""Generate VRS models at runtime from the json schema **This module should not be imported directly.** Instead, users should use one of the following: * `from ga4gh.vrs import models`, and refer to models with the abbreviated name, e.g., `models.Allele` (recommended) * `import ga4gh.vrs`, and refer to mode...
25.611111
103
0.763557
204
1,383
4.960784
0.455882
0.035573
0.041502
0.031621
0.061265
0
0
0
0
0
0
0.00346
0.164136
1,383
53
104
26.09434
0.871972
0.556038
0
0
1
0
0.05802
0
0
0
0
0
0
1
0.066667
false
0
0.266667
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
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
07fd8dcad711461da9ccdfd6208dbd93dc3542ee
7,502
py
Python
benchmarks/vTrident/comd/identification/getVolatilityAccuracy.py
DependableSystemsLab/Trident
90b38ab3ce8b7ad743986ddf66eaea7d20d921cb
[ "MIT" ]
5
2018-09-23T05:44:31.000Z
2021-09-08T18:52:37.000Z
benchmarks/vTrident/lulesh/identification/getVolatilityAccuracy.py
DependableSystemsLab/Trident
90b38ab3ce8b7ad743986ddf66eaea7d20d921cb
[ "MIT" ]
4
2019-06-13T16:27:31.000Z
2021-06-07T07:24:31.000Z
benchmarks/vTrident/lulesh/identification/getVolatilityAccuracy.py
DependableSystemsLab/Trident
90b38ab3ce8b7ad743986ddf66eaea7d20d921cb
[ "MIT" ]
4
2018-09-23T05:44:33.000Z
2021-04-20T00:29:11.000Z
import sys, os ########################## fiDataFolder = sys.argv[1] predDataFolder = sys.argv[2] ########################## minFileNo = 0 maxFileNo = 9 minFiTimes = 10 sdcIndexDic = {} dynPortionDic = {} totalFiTimesDic = {} predSdcDic = {} for y in range(minFileNo, maxFileNo+1): with open(predDataFolder + "/pred...
28.965251
198
0.56145
876
7,502
4.807078
0.140411
0.064593
0.056994
0.080741
0.309903
0.241273
0.199003
0.160057
0.160057
0.160057
0
0.072422
0.26193
7,502
258
199
29.077519
0.688098
0.222341
0
0.214765
0
0
0.033393
0
0
0
0
0
0
0
null
null
0
0.006711
null
null
0.013423
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
0
0
0
0
0
1
6af3c7821c0601f3f49b40169554dd0512872da1
718
py
Python
apps/users/migrations/0040_auto_20160913_2134.py
ExpoAshique/ProveBanking__s
f0b45fffea74d00d14014be27aa50fe5f42f6903
[ "MIT" ]
null
null
null
apps/users/migrations/0040_auto_20160913_2134.py
ExpoAshique/ProveBanking__s
f0b45fffea74d00d14014be27aa50fe5f42f6903
[ "MIT" ]
null
null
null
apps/users/migrations/0040_auto_20160913_2134.py
ExpoAshique/ProveBanking__s
f0b45fffea74d00d14014be27aa50fe5f42f6903
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-09-13 21:34 from __future__ import unicode_literals from django.db import migrations, models import uuid class Migration(migrations.Migration): dependencies = [ ('users', '0039_auto_20160804_0518'), ] operations = [ migrations....
26.592593
98
0.623955
79
718
5.518987
0.594937
0.091743
0.114679
0.133028
0.353211
0.353211
0.353211
0.353211
0.353211
0.353211
0
0.06379
0.25766
718
26
99
27.615385
0.754221
0.093315
0
0.421053
1
0
0.094136
0.035494
0
0
0
0
0
1
0
false
0
0.157895
0
0.315789
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
0
0
0
1
6af80a188692db7b12bc46437f7afa43408913d7
713
py
Python
perfreports/constants.py
pavel-paulau/perfreports
0860cf1126562cd28df2b554576da50b91a59ea5
[ "Apache-2.0" ]
2
2015-05-07T07:49:36.000Z
2021-11-17T12:04:23.000Z
perfreports/constants.py
pavel-paulau/perfreports
0860cf1126562cd28df2b554576da50b91a59ea5
[ "Apache-2.0" ]
null
null
null
perfreports/constants.py
pavel-paulau/perfreports
0860cf1126562cd28df2b554576da50b91a59ea5
[ "Apache-2.0" ]
null
null
null
PALETTE = ( '#51A351', '#f89406', '#7D1935', '#4A96AD', '#DE1B1B', '#E9E581', '#A2AB58', '#FFE658', '#118C4E', '#193D4F', ) LABELS = { 'cpu_user': 'CPU time spent in user mode, %', 'cpu_nice': 'CPU time spent in user mode with low priority (nice), %', 'cpu_sys': 'CPU...
28.52
74
0.591865
97
713
4.257732
0.608247
0.084746
0.116223
0.135593
0.106538
0.106538
0
0
0
0
0
0.07037
0.242637
713
24
75
29.708333
0.694444
0
0
0
0
0
0.656381
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
6afe1ffb1ea49fd2f1e74099d4023818b2555dbb
973
py
Python
conf/__init__.py
darkripples/django_mouldle_project
cb94397f9264c623ae5e7906ec865ab2cc46b292
[ "Apache-2.0" ]
null
null
null
conf/__init__.py
darkripples/django_mouldle_project
cb94397f9264c623ae5e7906ec865ab2cc46b292
[ "Apache-2.0" ]
8
2021-03-30T14:02:38.000Z
2022-03-12T00:40:05.000Z
conf/__init__.py
darkripples/django_mouldle_project
cb94397f9264c623ae5e7906ec865ab2cc46b292
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # coding:utf8 """ @Time : 2019/09/15 @Author : fls @Contact : fls@darkripples.com @Desc : darkripples总平台相关 @Modify Time @Author @Version @Desciption ------------ ------- -------- ----------- 2019/09/15 08:43 fls 1.0 create """ # 默认...
29.484848
85
0.581706
117
973
4.760684
0.589744
0.050269
0.078995
0.129264
0.068223
0
0
0
0
0
0
0.041841
0.263104
973
32
86
30.40625
0.735007
0.636177
0
0
0
0
0.214286
0.08631
0
0
0
0
0
1
0
false
0.076923
0.153846
0
0.153846
0.076923
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1
6affcfe9b909fb32fc8bc87abf0948a9a7787b2c
26,576
py
Python
machine/views.py
nikaashpuri/aquabrim_project
eabd03a1da7b68cca87a1accdf30f3e264c38895
[ "MIT" ]
null
null
null
machine/views.py
nikaashpuri/aquabrim_project
eabd03a1da7b68cca87a1accdf30f3e264c38895
[ "MIT" ]
null
null
null
machine/views.py
nikaashpuri/aquabrim_project
eabd03a1da7b68cca87a1accdf30f3e264c38895
[ "MIT" ]
null
null
null
__author__ = 'nikaashpuri' from django.http import HttpResponse from django.shortcuts import render, HttpResponseRedirect, render_to_response from django.core.urlresolvers import reverse from django.contrib.auth.models import User from django.views.generic.list import ListView from django.utils import timezone import ...
32.135429
124
0.649308
3,262
26,576
5.014715
0.11496
0.056853
0.066756
0.018829
0.585096
0.528182
0.452439
0.395953
0.377491
0.365754
0
0.024537
0.24857
26,576
826
125
32.174334
0.794592
0.026452
0
0.416819
0
0
0.054617
0.015082
0
0
0
0
0
0
null
null
0.012797
0.036563
null
null
0.010969
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
0
0
0
0
0
1
6affd1d8963c93ac4c8dc45926d7b7b4d82db0ee
3,428
py
Python
images/tests.py
olesigilai/my_Gallery
5511fa1f31d190f1044a081633d38e593020ff4e
[ "MIT", "Unlicense" ]
null
null
null
images/tests.py
olesigilai/my_Gallery
5511fa1f31d190f1044a081633d38e593020ff4e
[ "MIT", "Unlicense" ]
null
null
null
images/tests.py
olesigilai/my_Gallery
5511fa1f31d190f1044a081633d38e593020ff4e
[ "MIT", "Unlicense" ]
null
null
null
from django.test import TestCase from .models import Location,Image,Category import datetime as dt # Create your tests here. class LocationTestClass(TestCase): # Set up method def setUp(self): self.location = Location(id=1,name = 'Prestige') # Testing instance def test_instance(self):...
36.468085
132
0.656068
407
3,428
5.400491
0.149877
0.050955
0.069609
0.065514
0.519563
0.434031
0.414923
0.295723
0.263876
0.206551
0
0.005354
0.237165
3,428
94
133
36.468085
0.835182
0.113186
0
0.378788
0
0
0.036057
0
0
0
0
0
0.181818
1
0.242424
false
0
0.045455
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
1
6affd25103f2fa188956802698be98ad62be2ce5
627
py
Python
utils.py
gdiprisco/Quarantine-Violation-Police-Alert
89259f7537e67a78076c46876b1b821a0f7ef8d7
[ "MIT" ]
1
2021-01-18T11:01:00.000Z
2021-01-18T11:01:00.000Z
utils.py
gdiprisco/Quarantine-Violation-Police-Alert
89259f7537e67a78076c46876b1b821a0f7ef8d7
[ "MIT" ]
null
null
null
utils.py
gdiprisco/Quarantine-Violation-Police-Alert
89259f7537e67a78076c46876b1b821a0f7ef8d7
[ "MIT" ]
null
null
null
from datetime import datetime as dt import os database_dt_format = "%Y-%m-%d %H:%M:%S.%f" # datetime string format, json do not support datetime objects execution_log_filename = "execution_log.txt" # execution logfile execution_log_path = os.path.join(os.curdir, execution_log_filename) # execution logfile path de...
36.882353
107
0.716108
96
627
4.458333
0.427083
0.224299
0.11215
0.135514
0.317757
0.205607
0.205607
0.205607
0.205607
0.205607
0
0
0.148325
627
16
108
39.1875
0.801498
0.161085
0
0
0
0
0.086207
0
0
0
0
0
0
1
0.181818
false
0
0.181818
0
0.363636
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
0
0
0
0
0
0
0
0
0
0
1
ed076008c041d19e7e937fb71f87dfcf31b48760
1,791
py
Python
videos/migrations/0001_initial.py
KamaljeetSahoo/Project-Aperture
a8d48049f3b3296b2c8345a84de8c63e6ee64b66
[ "MIT" ]
null
null
null
videos/migrations/0001_initial.py
KamaljeetSahoo/Project-Aperture
a8d48049f3b3296b2c8345a84de8c63e6ee64b66
[ "MIT" ]
null
null
null
videos/migrations/0001_initial.py
KamaljeetSahoo/Project-Aperture
a8d48049f3b3296b2c8345a84de8c63e6ee64b66
[ "MIT" ]
2
2021-12-04T15:46:27.000Z
2022-02-18T20:56:56.000Z
# Generated by Django 3.2.8 on 2021-10-24 17:47 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Caption', fields=[ ('id', models.BigAutoFie...
35.82
117
0.563931
166
1,791
5.957831
0.373494
0.084934
0.101112
0.105157
0.446916
0.446916
0.331648
0.331648
0.331648
0.331648
0
0.014331
0.298716
1,791
49
118
36.55102
0.773089
0.025126
0
0.5
1
0
0.113532
0.025229
0
0
0
0
0
1
0
false
0
0.02381
0
0.119048
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
0
0
0
1
ed07a644a5054f468893e25565ea14ed4a1ae812
433
py
Python
orochi/users/migrations/0003_user_services.py
garanews/orochi
ec037ad5836855cd1a734fa1bf40ecc5647cb824
[ "MIT" ]
121
2020-09-25T16:14:44.000Z
2022-03-09T21:21:36.000Z
orochi/users/migrations/0003_user_services.py
garanews/orochi
ec037ad5836855cd1a734fa1bf40ecc5647cb824
[ "MIT" ]
382
2020-09-28T06:46:21.000Z
2022-03-31T11:02:19.000Z
orochi/users/migrations/0003_user_services.py
garanews/orochi
ec037ad5836855cd1a734fa1bf40ecc5647cb824
[ "MIT" ]
10
2020-09-29T16:36:30.000Z
2022-01-18T14:02:09.000Z
# Generated by Django 3.1 on 2020-08-05 13:09 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('website', '0012_service'), ('users', '0002_alter_user_first_name'), ] operations = [ migrations.AddField( model_name='user...
21.65
63
0.595843
45
433
5.6
0.777778
0
0
0
0
0
0
0
0
0
0
0.070513
0.279446
433
19
64
22.789474
0.737179
0.099307
0
0
1
0
0.198454
0.06701
0
0
0
0
0
1
0
false
0
0.076923
0
0.307692
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
ed0954400a75f33c14902a275408bbfe22498bca
3,244
py
Python
ctf/views.py
puerkito66/openCTF
207cf96e6539a0dbfa3f87f838975c5e5f91ca9e
[ "MIT" ]
null
null
null
ctf/views.py
puerkito66/openCTF
207cf96e6539a0dbfa3f87f838975c5e5f91ca9e
[ "MIT" ]
null
null
null
ctf/views.py
puerkito66/openCTF
207cf96e6539a0dbfa3f87f838975c5e5f91ca9e
[ "MIT" ]
null
null
null
from django.views.generic import CreateView, TemplateView from django.contrib.messages.views import SuccessMessageMixin from django.contrib.auth.mixins import LoginRequiredMixin from django.contrib.auth.forms import UserCreationForm from django.views.generic import DetailView, ListView, FormView, TemplateView, View fro...
28.208696
88
0.688964
336
3,244
6.520833
0.386905
0.05477
0.020539
0.030123
0.135098
0.060246
0.039251
0
0
0
0
0.00853
0.204994
3,244
114
89
28.45614
0.841024
0.063502
0
0.166667
0
0
0.084112
0.018345
0
0
0
0
0
1
0.030303
false
0.030303
0.181818
0.015152
0.681818
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
ed0af1f74b264093e54786a45a165c482d4e2861
394
py
Python
analog/exceptions.py
Oksamies/django-analog
1b977efd6553e043f2f1ad399d810ab8c5b51dcb
[ "MIT" ]
null
null
null
analog/exceptions.py
Oksamies/django-analog
1b977efd6553e043f2f1ad399d810ab8c5b51dcb
[ "MIT" ]
null
null
null
analog/exceptions.py
Oksamies/django-analog
1b977efd6553e043f2f1ad399d810ab8c5b51dcb
[ "MIT" ]
null
null
null
class UnknownLogKind(ValueError): """Exception thrown when an unknown ``kind`` is passed.""" def __init__(self, value): """ Construct the exception. :param value: The invalid kind value passed in. """ message = "Unknown log entry kind %r" % value super(UnknownLo...
24.625
62
0.629442
42
394
5.714286
0.642857
0
0
0
0
0
0
0
0
0
0
0
0.263959
394
15
63
26.266667
0.827586
0.319797
0
0
0
0
0.108225
0
0
0
0
0
0
1
0.166667
false
0.166667
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
0
1
0
0
0
0
0
1
ed0bb69451b43c30a079dbb45953abbebcde4ae9
381
py
Python
backend/spendings/migrations/0002_auto_20201209_0018.py
Gimb0/financeManager
b054567ccbcc66535b30b92af1bf11e270968779
[ "MIT" ]
null
null
null
backend/spendings/migrations/0002_auto_20201209_0018.py
Gimb0/financeManager
b054567ccbcc66535b30b92af1bf11e270968779
[ "MIT" ]
null
null
null
backend/spendings/migrations/0002_auto_20201209_0018.py
Gimb0/financeManager
b054567ccbcc66535b30b92af1bf11e270968779
[ "MIT" ]
null
null
null
# Generated by Django 3.1.4 on 2020-12-09 00:18 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('spendings', '0001_initial'), ] operations = [ migrations.AlterField( model_name='expenses', name='expense', ...
20.052632
51
0.593176
40
381
5.575
0.85
0
0
0
0
0
0
0
0
0
0
0.081481
0.291339
381
18
52
21.166667
0.744444
0.11811
0
0
1
0
0.107784
0
0
0
0
0
0
1
0
false
0
0.083333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
ed0f2d6a1ef618af0a0f50dcba63f15b8454bb9e
3,686
py
Python
test/test_arguments.py
MRImagingLi/pydpiper
8d3f355ef8fda7cd73723734c0d4d2cc0f9f0e32
[ "BSD-3-Clause" ]
14
2015-05-21T17:16:17.000Z
2021-08-02T20:50:00.000Z
test/test_arguments.py
MRImagingLi/pydpiper
8d3f355ef8fda7cd73723734c0d4d2cc0f9f0e32
[ "BSD-3-Clause" ]
369
2015-01-05T15:51:33.000Z
2022-03-11T16:57:32.000Z
test/test_arguments.py
MRImagingLi/pydpiper
8d3f355ef8fda7cd73723734c0d4d2cc0f9f0e32
[ "BSD-3-Clause" ]
8
2015-02-24T01:02:07.000Z
2022-03-01T15:55:30.000Z
import pytest from configargparse import Namespace from pydpiper.core.arguments import CompoundParser, AnnotatedParser, application_parser, parse #, lsq6_parser, lsq12_parser from pydpiper.pipelines.MBM import mbm_parser # TODO should these test files be named test_*? # should these be fixtures or not? @pytest.fixt...
54.205882
123
0.587358
403
3,686
5.08933
0.186104
0.061433
0.046806
0.088737
0.516334
0.359824
0.251097
0.139932
0.115553
0.115553
0
0.038358
0.292729
3,686
67
124
55.014925
0.74837
0.066739
0
0.1
0
0
0.144856
0.109881
0
0
0
0.014925
0.06
1
0.18
false
0
0.08
0.1
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
1
0
0
0
0
0
0
0
0
0
0
1
ed11600e4ecb3457c6cf5ad8774cece27f55f046
1,571
py
Python
setup.py
A425/django-xadmin-1.8
9ab06192311b22ec654778935ce3e3c5ffd39a00
[ "MIT" ]
1
2015-10-10T08:04:26.000Z
2015-10-10T08:04:26.000Z
setup.py
A425/django-xadmin-1.8
9ab06192311b22ec654778935ce3e3c5ffd39a00
[ "MIT" ]
1
2016-03-25T01:41:36.000Z
2016-03-25T01:41:36.000Z
setup.py
A425/django-xadmin-1.8
9ab06192311b22ec654778935ce3e3c5ffd39a00
[ "MIT" ]
null
null
null
#!/usr/bin/env python from setuptools import setup # version_tuple = __import__('nadmin.version').VERSION # version = ".".join([str(v) for v in version_tuple]) setup( name='django-nadmin', version='0.1.0', description='django nadmin support django version 1.8 based on django-xadmin', long_description=...
34.152174
82
0.611076
163
1,571
5.803681
0.625767
0.038055
0.052854
0.042283
0
0
0
0
0
0
0
0.020525
0.224698
1,571
45
83
34.911111
0.756158
0.079567
0
0
0
0
0.546085
0.018018
0
0
0
0
0
1
0
true
0
0.025
0
0.025
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
0
0
0
0
0
1
ed144623611b2bdb00e12abea815ba50174be50f
5,044
py
Python
tensorflow_federated/python/core/impl/remote_executor.py
xueyuuu/federated
ad617401324c133eb838e4e0af7442a4dfa71d6e
[ "Apache-2.0" ]
null
null
null
tensorflow_federated/python/core/impl/remote_executor.py
xueyuuu/federated
ad617401324c133eb838e4e0af7442a4dfa71d6e
[ "Apache-2.0" ]
null
null
null
tensorflow_federated/python/core/impl/remote_executor.py
xueyuuu/federated
ad617401324c133eb838e4e0af7442a4dfa71d6e
[ "Apache-2.0" ]
null
null
null
# Lint as: python3 # Copyright 2019, The TensorFlow Federated Authors. # # 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 ...
40.031746
93
0.761895
680
5,044
5.429412
0.283824
0.04117
0.056338
0.070423
0.246208
0.174702
0.174702
0.092362
0.02546
0
0
0.010638
0.16138
5,044
125
94
40.352
0.862175
0.277756
0
0.056338
0
0
0
0
0
0
0
0.016
0
1
0.056338
false
0
0.126761
0.028169
0.309859
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
1
0
0
0
0
0
0
0
0
0
0
1
ed144aae0fe96ed72ffa172a477ef02a30db888a
1,060
py
Python
lib/exabgp/vendoring/ordereddict.py
opensourcerouting/exabgp
2ba3ed23eae97f71372fcb437cf0c30bbffd1e2b
[ "BSD-3-Clause" ]
null
null
null
lib/exabgp/vendoring/ordereddict.py
opensourcerouting/exabgp
2ba3ed23eae97f71372fcb437cf0c30bbffd1e2b
[ "BSD-3-Clause" ]
null
null
null
lib/exabgp/vendoring/ordereddict.py
opensourcerouting/exabgp
2ba3ed23eae97f71372fcb437cf0c30bbffd1e2b
[ "BSD-3-Clause" ]
null
null
null
# encoding: utf-8 """ ordereddict.py Created by Thomas Mangin on 2013-03-18. Copyright (c) 2009-2015 Exa Networks. All rights reserved. """ # ================================================================== OrderedDict # This is only an hack until we drop support for python version < 2.7 class OrderedDict(dict):...
24.090909
98
0.560377
133
1,060
4.052632
0.533835
0.116883
0.044527
0.070501
0
0
0
0
0
0
0
0.032787
0.251887
1,060
43
99
24.651163
0.64691
0.262264
0
0.086957
0
0
0.03886
0
0
0
0
0
0
1
0.26087
false
0
0
0.086957
0.391304
0.043478
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
1
ed17757a9a8dbb52b5177f7595bd64764c6571d4
9,164
py
Python
Proyecto2/.ipynb_checkpoints/tetriss-checkpoint.py
CrysthelAparicio/PythonProjects-SWISE
9468229d2f913e52a568e76f3f3eb04a13d0eaad
[ "MIT" ]
1
2020-09-15T06:05:03.000Z
2020-09-15T06:05:03.000Z
Proyecto2/tetriss.py
Adriana-Elizabeth-Salgado/PythonProjects-SWISE
1cad7cbc6183af130dc5facc27926bba3ea893fc
[ "MIT" ]
1
2020-09-08T06:23:38.000Z
2020-09-09T00:37:25.000Z
Proyecto2/tetriss.py
Adriana-Elizabeth-Salgado/PythonProjects-SWISE
1cad7cbc6183af130dc5facc27926bba3ea893fc
[ "MIT" ]
1
2020-09-15T02:21:53.000Z
2020-09-15T02:21:53.000Z
""" - Al menos un ente que se pueda sin ambigüedad llamar protagonista (LISTO) - Definiendo un estado como la colección de variables en memoria necesarios para describir todos los entes del juego, se requiere que se tenga un número de estados no idénticos totales mayor que 2 en los el protagonista no puede tener lo...
35.382239
138
0.573658
1,287
9,164
4.055944
0.283605
0.005364
0.010345
0.011494
0.147701
0.140038
0.094636
0.072605
0.06341
0.06341
0
0.042175
0.311763
9,164
259
139
35.382239
0.785476
0.333588
0
0.305
0
0
0.048241
0
0
0
0
0.023166
0
1
0.06
false
0.01
0.015
0.01
0.11
0.03
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
0
0
0
0
0
1
ed1cf5470c917bf6b62121bbbd360e2e4fb276fb
9,299
py
Python
meta_reward_learning/semantic_parsing/table/random_explore.py
yick2232/google-research
99021ebda945e232abdcc592f2cea1375b3c84f7
[ "Apache-2.0" ]
11
2020-01-29T07:25:04.000Z
2022-03-05T16:01:21.000Z
meta_reward_learning/semantic_parsing/table/random_explore.py
zhangyuezjx/google-research
4a59cab927579ea9722e43252c695de5da4eb5e2
[ "Apache-2.0" ]
13
2020-01-28T22:19:53.000Z
2022-02-10T00:39:26.000Z
meta_reward_learning/semantic_parsing/table/random_explore.py
zhangyuezjx/google-research
4a59cab927579ea9722e43252c695de5da4eb5e2
[ "Apache-2.0" ]
2
2020-02-27T11:09:49.000Z
2021-08-25T07:32:15.000Z
# coding=utf-8 # Copyright 2019 The Google Research Authors. # # 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 applicab...
34.568773
91
0.679213
1,327
9,299
4.538809
0.221552
0.012452
0.023244
0.034534
0.234601
0.19741
0.154408
0.117715
0.057945
0.031878
0
0.007402
0.200989
9,299
268
92
34.697761
0.80323
0.099366
0
0.136585
0
0
0.138749
0.005776
0
0
0
0
0
0
null
null
0
0.058537
null
null
0.009756
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
0
0
0
0
0
1
ed1d7913e25196c6d6e645249b61c0a0127234ca
5,660
py
Python
generate_javascript_layers.py
chapellegrini/pvnn
0ccd8b57a106d5e3f801da696ae4290ea940c6a5
[ "Apache-2.0" ]
1
2019-09-11T19:32:36.000Z
2019-09-11T19:32:36.000Z
generate_javascript_layers.py
chapellegrini/pvnn
0ccd8b57a106d5e3f801da696ae4290ea940c6a5
[ "Apache-2.0" ]
null
null
null
generate_javascript_layers.py
chapellegrini/pvnn
0ccd8b57a106d5e3f801da696ae4290ea940c6a5
[ "Apache-2.0" ]
null
null
null
# generate_javascript_layers.py # Script that generates a javascript file named layers.js # This is done via a list of hardcoded layers to translate into the correct format # The file thus generated is then served to clients to be used by the javascript interface, # allowing easier maintenance of the software # Built-...
41.925926
106
0.65477
638
5,660
5.60815
0.213166
0.066518
0.025154
0.042761
0.331191
0.246506
0.195361
0.17915
0.122135
0.122135
0
0.002902
0.208657
5,660
134
107
42.238806
0.795937
0.095936
0
0.184466
1
0
0.173069
0.027244
0
0
0
0.007463
0
1
0.116505
false
0
0.009709
0.019417
0.252427
0.029126
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
0
0
0
1
ed2391bcd097c2a10c26a8bc27cac232c5118041
1,321
py
Python
setup.py
jjohnson42/python-eficompressor
9bc6ba271674f62a744a7cd1e37d6202d902f17f
[ "BSD-2-Clause" ]
1
2018-07-24T13:50:48.000Z
2018-07-24T13:50:48.000Z
setup.py
jjohnson42/python-eficompressor
9bc6ba271674f62a744a7cd1e37d6202d902f17f
[ "BSD-2-Clause" ]
null
null
null
setup.py
jjohnson42/python-eficompressor
9bc6ba271674f62a744a7cd1e37d6202d902f17f
[ "BSD-2-Clause" ]
null
null
null
## @file # package and install PyEfiCompressor extension # # Copyright (c) 2008, Intel Corporation. All rights reserved.<BR> # # This program and the accompanying materials # are licensed and made available under the terms and conditions of the BSD License # which accompanies this distribution. The full text of th...
28.106383
85
0.636639
144
1,321
5.8125
0.694444
0.04779
0.031063
0
0
0
0
0
0
0
0
0.009317
0.268736
1,321
46
86
28.717391
0.857143
0.409538
0
0.111111
0
0
0.368421
0.042105
0
0
0
0
0
1
0
true
0
0.037037
0
0.037037
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
0
0
0
0
0
1
ed296bcea715cc467c3e412a523792e1a8f4a07e
347
py
Python
frontend/webapp/config.py
vkurilin/SHEEP
2ccaef32c16efcf5dbc8eefd1dc243bed4ac2fbb
[ "MIT" ]
40
2018-12-03T13:01:06.000Z
2022-02-23T13:04:12.000Z
frontend/webapp/config.py
vkurilin/SHEEP
2ccaef32c16efcf5dbc8eefd1dc243bed4ac2fbb
[ "MIT" ]
63
2018-09-11T14:13:31.000Z
2020-01-14T16:12:39.000Z
frontend/webapp/config.py
vkurilin/SHEEP
2ccaef32c16efcf5dbc8eefd1dc243bed4ac2fbb
[ "MIT" ]
7
2019-07-10T14:48:31.000Z
2022-03-23T09:12:11.000Z
""" Configuration for the sheep flask app """ import os class SheepConfig: if "SHEEP_HOME" in os.environ.keys(): SHEEP_HOME = os.environ["SHEEP_HOME"] else: SHEEP_HOME = os.path.join(os.environ["HOME"], "SHEEP","pysheep") UPLOAD_FOLDER = os.path.join(SHEEP...
24.785714
64
0.596542
43
347
4.674419
0.534884
0.223881
0.109453
0
0
0
0
0
0
0
0
0
0.26513
347
13
65
26.692308
0.788235
0.106628
0
0
0
0
0.162252
0
0
0
0
0
0
1
0
false
0
0.125
0
0.375
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
0
0
0
0
0
0
0
0
0
0
1
ed2ab50f16ac9129881624521b41b27b0b29f417
1,539
py
Python
samples/vsphere/vcenter/topologysvc/list_replication_status.py
JKraftman/vsphere-automation-sdk-python
ccc83aa7124fd9aed26ee88ccc16d01adc8af7db
[ "MIT" ]
589
2017-03-09T19:01:22.000Z
2022-03-23T08:18:32.000Z
samples/vsphere/vcenter/topologysvc/list_replication_status.py
JKraftman/vsphere-automation-sdk-python
ccc83aa7124fd9aed26ee88ccc16d01adc8af7db
[ "MIT" ]
244
2017-03-09T19:37:36.000Z
2022-03-29T07:14:21.000Z
samples/vsphere/vcenter/topologysvc/list_replication_status.py
JKraftman/vsphere-automation-sdk-python
ccc83aa7124fd9aed26ee88ccc16d01adc8af7db
[ "MIT" ]
304
2017-03-09T19:15:01.000Z
2022-03-31T04:26:59.000Z
#!/usr/bin/env python """ * ******************************************************* * Copyright (c) VMware, Inc. 2020. All Rights Reserved. * SPDX-License-Identifier: MIT * ******************************************************* * * DISCLAIMER. THIS PROGRAM IS PROVIDED TO YOU "AS IS" WITHOUT * WARRANTIES OR CONDITIONS...
34.2
75
0.677063
179
1,539
5.659218
0.631285
0.064166
0.043435
0.047384
0
0
0
0
0
0
0
0.004751
0.179337
1,539
44
76
34.977273
0.797308
0.365822
0
0
0
0
0.021828
0
0
0
0
0
0
1
0
false
0.076923
0.230769
0
0.230769
0.076923
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
1