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
dba89946ffbf4b4e0ca04987e645e105d52edb8a
2,412
py
Python
dags/mailsdag.py
rvacaru/airflow-training-skeleton
45fc6a8938d055b98c62c85b7c8085cb7d6f23ba
[ "Apache-2.0" ]
null
null
null
dags/mailsdag.py
rvacaru/airflow-training-skeleton
45fc6a8938d055b98c62c85b7c8085cb7d6f23ba
[ "Apache-2.0" ]
null
null
null
dags/mailsdag.py
rvacaru/airflow-training-skeleton
45fc6a8938d055b98c62c85b7c8085cb7d6f23ba
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the #...
25.125
66
0.717247
319
2,412
5.291536
0.45768
0.035545
0.047393
0.018957
0.075829
0.047393
0
0
0
0
0
0.005612
0.187396
2,412
95
67
25.389474
0.855612
0.354892
0
0.1
0
0
0.091384
0
0
0
0
0
0
1
0.033333
false
0
0.133333
0
0.216667
0.066667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dba99e90b4b43e354898ce74c9ce989b11885ee9
1,359
py
Python
appengine-compat/exported_appengine_sdk/google/storage/speckle/proto/jdbc_type.py
speedplane/python-compat-runtime
743ade7e1350c790c4aaa48dd2c0893d06d80cee
[ "Apache-2.0" ]
26
2015-01-20T08:02:38.000Z
2020-06-10T04:57:41.000Z
appengine-compat/exported_appengine_sdk/google/storage/speckle/proto/jdbc_type.py
speedplane/python-compat-runtime
743ade7e1350c790c4aaa48dd2c0893d06d80cee
[ "Apache-2.0" ]
53
2016-04-06T21:10:43.000Z
2018-03-19T23:14:33.000Z
appengine-compat/exported_appengine_sdk/google/storage/speckle/proto/jdbc_type.py
speedplane/python-compat-runtime
743ade7e1350c790c4aaa48dd2c0893d06d80cee
[ "Apache-2.0" ]
23
2016-04-19T05:45:26.000Z
2021-12-31T23:22:36.000Z
#!/usr/bin/env python # # Copyright 2007 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law o...
20.283582
74
0.725533
217
1,359
4.529954
0.723502
0.061038
0.02645
0.032553
0
0
0
0
0
0
0
0.074886
0.19426
1,359
66
75
20.590909
0.822831
0.626932
0
0
0
0
0
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbaa5fe4d5410450515867da0876df0842647fcf
2,406
py
Python
GestiRED/views.py
osabogal10/GestiREDBackend
99aa3b01bd67910cc0f96751c88d0f4e83763392
[ "MIT" ]
null
null
null
GestiRED/views.py
osabogal10/GestiREDBackend
99aa3b01bd67910cc0f96751c88d0f4e83763392
[ "MIT" ]
null
null
null
GestiRED/views.py
osabogal10/GestiREDBackend
99aa3b01bd67910cc0f96751c88d0f4e83763392
[ "MIT" ]
1
2018-11-19T00:08:05.000Z
2018-11-19T00:08:05.000Z
from django.http import HttpResponse from django.core.mail import send_mail import json from django.shortcuts import render from django.views.decorators.csrf import csrf_exempt from GestiRED.models import User from GestiRED.models import QualityControl, Phase, Resource, ResourceType,PhaseType from django.core import se...
36.454545
130
0.656692
269
2,406
5.732342
0.386617
0.038911
0.033722
0.031128
0
0
0
0
0
0
0
0.000542
0.232751
2,406
65
131
37.015385
0.834778
0.018703
0
0.039216
0
0
0.150191
0.009758
0
0
0
0
0
1
0.058824
false
0
0.176471
0.019608
0.294118
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbaa65a763de8c1cfbc863205e539ed71151b214
2,181
py
Python
ext_modules/_maix_nn/example/yolo2_camera.py
sipeed/python3-maix
9ced31b8f1c1e4ef93b6a57bbfced27ae9e3361e
[ "MIT" ]
93
2021-01-12T01:56:06.000Z
2022-03-30T12:52:01.000Z
ext_modules/_maix_nn/example/yolo2_camera.py
JasperG1998/MaixPy3
b36800b8d6aebf55018894c215c23a73d2fe406d
[ "MIT" ]
29
2021-02-04T10:37:26.000Z
2022-03-20T15:10:55.000Z
ext_modules/_maix_nn/example/yolo2_camera.py
JasperG1998/MaixPy3
b36800b8d6aebf55018894c215c23a73d2fe406d
[ "MIT" ]
25
2021-01-25T18:10:09.000Z
2022-03-31T13:55:36.000Z
from maix import nn from PIL import Image, ImageDraw, ImageFont from maix import display, camera import time from maix.nn import decoder def draw_rectangle_with_title(draw, box, disp_str, bg_color=(255, 0, 0, 255), font_color=(255, 255, 255, 255)): # draw = ImageDraw.Draw(img) font = ImageFont.load_defaul...
27.2625
111
0.596057
342
2,181
3.690058
0.345029
0.050713
0.022187
0.019017
0.126783
0.090333
0
0
0
0
0
0.087982
0.202659
2,181
79
112
27.607595
0.637723
0.017423
0
0.068966
0
0
0.121425
0.030942
0
0
0
0
0
1
0.017241
false
0
0.086207
0
0.103448
0.137931
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbaa6f31a1ce95280bfdff82b4090e6bc54d2002
10,143
py
Python
tests/test_metadata_options.py
Fatal1ty/mashumaro
f32acf98f7cc7cdf638b921fe3fde96bef4fbefb
[ "Apache-2.0" ]
394
2018-11-09T11:55:11.000Z
2022-03-27T07:39:48.000Z
tests/test_metadata_options.py
Fatal1ty/mashumaro
f32acf98f7cc7cdf638b921fe3fde96bef4fbefb
[ "Apache-2.0" ]
70
2018-12-10T19:43:01.000Z
2022-03-17T07:37:45.000Z
tests/test_metadata_options.py
Fatal1ty/mashumaro
f32acf98f7cc7cdf638b921fe3fde96bef4fbefb
[ "Apache-2.0" ]
29
2018-12-10T19:44:19.000Z
2022-03-11T00:12:26.000Z
from dataclasses import dataclass, field from datetime import date, datetime, time, timezone from pathlib import Path from typing import Any, Dict, Optional, Union import ciso8601 import pytest from mashumaro import DataClassDictMixin from mashumaro.exceptions import UnserializableField from mashumaro.types import Se...
30.1875
79
0.648822
1,165
10,143
5.498712
0.108155
0.044958
0.082579
0.147206
0.688885
0.615673
0.561973
0.514518
0.455354
0.433812
0
0.053177
0.219462
10,143
335
80
30.277612
0.755968
0
0
0.414343
0
0
0.077098
0.007098
0
0
0
0
0.123506
1
0.12749
false
0
0.039841
0.031873
0.414343
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbaae886d43e46ac193d1e7f28a6367192d2a640
7,552
py
Python
vendor/github.com/tensorflow/tensorflow/tensorflow/python/ops/list_ops.py
owennewo/kfserving
89f73c87525b8e06ea799f69f2979c4ad272fcb3
[ "Apache-2.0" ]
2
2018-12-12T23:33:05.000Z
2019-02-26T07:20:22.000Z
vendor/github.com/tensorflow/tensorflow/tensorflow/python/ops/list_ops.py
owennewo/kfserving
89f73c87525b8e06ea799f69f2979c4ad272fcb3
[ "Apache-2.0" ]
13
2020-11-13T18:53:29.000Z
2022-03-12T00:33:00.000Z
vendor/github.com/tensorflow/tensorflow/tensorflow/python/ops/list_ops.py
owennewo/kfserving
89f73c87525b8e06ea799f69f2979c4ad272fcb3
[ "Apache-2.0" ]
2
2020-10-06T09:24:31.000Z
2020-12-20T15:10:56.000Z
# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
34.801843
80
0.742585
1,047
7,552
5.115568
0.217765
0.071695
0.037341
0.050784
0.316468
0.218447
0.165982
0.130134
0.094473
0.046303
0
0.007289
0.164327
7,552
216
81
34.962963
0.841388
0.263639
0
0.209302
0
0
0.04794
0.012031
0
0
0
0.00463
0
1
0.124031
false
0
0.069767
0.054264
0.341085
0.007752
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbaf82c57c0e8e70a6ba6faeba1bc88a6aa96173
996
py
Python
requires.py
lydaaa/fzutils
5f775d046876e3ce35d0b1174b5a3db96e9d627e
[ "MIT" ]
1
2018-08-04T13:55:03.000Z
2018-08-04T13:55:03.000Z
requires.py
lydaaa/fzutils
5f775d046876e3ce35d0b1174b5a3db96e9d627e
[ "MIT" ]
null
null
null
requires.py
lydaaa/fzutils
5f775d046876e3ce35d0b1174b5a3db96e9d627e
[ "MIT" ]
null
null
null
# coding:utf-8 ''' @author = super_fazai @File : requires.py @Time : 2016/8/3 12:59 @connect : superonesfazai@gmail.com ''' install_requires = [ 'ipython', 'wheel', 'utils', 'db', 'greenlet==0.4.13', 'web.py==0.40.dev1', 'pytz', 'requests', 'selenium==3.8.0', # 3.8.1及其以上版...
16.6
53
0.491968
93
996
5.236559
0.860215
0.008214
0
0
0
0
0
0
0
0
0
0.044993
0.308233
996
60
54
16.6
0.661829
0.179719
0
0
0
0
0.447891
0
0
0
0
0
0
1
0
false
0
0
0
0
0.02
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbafb8e5a5c72fd3abd02eb1cca23ac263bc48ce
2,433
py
Python
m15_dos/dos.py
venkatarjun/Python3
606adf8588a74a53d592e62e07e81a5a1530b993
[ "MIT" ]
80
2020-11-14T19:19:27.000Z
2022-03-10T17:43:17.000Z
m15_dos/dos.py
nerbertb/python-52-weeks
55add5d75d1aabed4c59d445e1d1b773ede047b0
[ "MIT" ]
10
2020-11-24T06:19:45.000Z
2022-02-27T23:53:28.000Z
m15_dos/dos.py
nerbertb/python-52-weeks
55add5d75d1aabed4c59d445e1d1b773ede047b0
[ "MIT" ]
58
2020-11-13T18:35:22.000Z
2022-03-28T06:40:08.000Z
import subprocess import requests import argparse from concurrent.futures import ThreadPoolExecutor from time import sleep from datetime import datetime ICMP_ATTACK = "ICMP" HTTP_ATTACK = "HTTP" valid_attacks = {HTTP_ATTACK, ICMP_ATTACK} parser = argparse.ArgumentParser(description="DoS HTTP") parser.add_argument('-P...
27.337079
102
0.630908
300
2,433
4.996667
0.386667
0.044029
0.045364
0.045364
0.168112
0.168112
0.168112
0.082722
0.040027
0.040027
0
0.009651
0.233457
2,433
88
103
27.647727
0.794102
0.011097
0
0.213115
0
0.016393
0.238769
0.052413
0
0
0
0
0
1
0.04918
false
0
0.098361
0
0.163934
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
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbb02044e102ff75841402e288f20f24bd0e7921
3,444
py
Python
maestro/backends/django/contrib/signals.py
estudio89/maestro-python
331079cb3f0c10de2e19210cbade793544510f33
[ "BSD-3-Clause" ]
null
null
null
maestro/backends/django/contrib/signals.py
estudio89/maestro-python
331079cb3f0c10de2e19210cbade793544510f33
[ "BSD-3-Clause" ]
null
null
null
maestro/backends/django/contrib/signals.py
estudio89/maestro-python
331079cb3f0c10de2e19210cbade793544510f33
[ "BSD-3-Clause" ]
null
null
null
from django.apps import apps from django.db import models from django.db.models.signals import post_save, pre_delete from typing import Type, Optional, List, cast, TYPE_CHECKING from maestro.backends.django.settings import maestro_settings from maestro.backends.django.contrib.factory import create_django_data_store fro...
30.210526
86
0.702962
418
3,444
5.45933
0.210526
0.039439
0.033304
0.043821
0.539001
0.489045
0.456617
0.456617
0.416301
0.416301
0
0
0.196574
3,444
113
87
30.477876
0.82472
0
0
0.344086
0
0
0.074042
0
0
0
0
0
0
1
0.096774
false
0
0.11828
0.010753
0.236559
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbb4a7b40915f984e1d6c4fb86487617ba753bc3
2,421
py
Python
Scripts/ReduceFragments.py
mike72353/FragFeatureNet
ef61ae52e3d6dcc6d2d56df2a6bd5fe1a298c930
[ "BSD-3-Clause" ]
1
2021-10-13T11:49:37.000Z
2021-10-13T11:49:37.000Z
Scripts/ReduceFragments.py
mike72353/FragFeatureNet
ef61ae52e3d6dcc6d2d56df2a6bd5fe1a298c930
[ "BSD-3-Clause" ]
null
null
null
Scripts/ReduceFragments.py
mike72353/FragFeatureNet
ef61ae52e3d6dcc6d2d56df2a6bd5fe1a298c930
[ "BSD-3-Clause" ]
1
2021-09-09T04:42:20.000Z
2021-09-09T04:42:20.000Z
""" Remove Fragments not in Knowledgebase """ __author__ = "Michael Suarez" __email__ = "masv@connect.ust.hk" __copyright__ = "Copyright 2019, Hong Kong University of Science and Technology" __license__ = "3-clause BSD" from argparse import ArgumentParser import numpy as np import pickle parser = ArgumentParser(desc...
38.428571
142
0.687732
340
2,421
4.808824
0.388235
0.012232
0.009174
0.085627
0.268502
0.225688
0.225688
0.166972
0.091743
0.091743
0
0.014983
0.145394
2,421
62
143
39.048387
0.775254
0.12185
0
0
0
0
0.186377
0.084674
0
0
0
0
0
1
0
false
0
0.071429
0
0.071429
0.02381
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbb4ba3a72efae417ef662fbf9ea83724f57fdc1
11,352
py
Python
client/core/tests/billing_tests.py
vbohinc/CommunityCellularManager
ab330fcb1bc70ee3a8e9bcdac2846ab6c327f87c
[ "BSD-3-Clause" ]
null
null
null
client/core/tests/billing_tests.py
vbohinc/CommunityCellularManager
ab330fcb1bc70ee3a8e9bcdac2846ab6c327f87c
[ "BSD-3-Clause" ]
3
2021-03-20T00:02:37.000Z
2022-02-11T03:46:59.000Z
client/core/tests/billing_tests.py
vbohinc/CommunityCellularManager
ab330fcb1bc70ee3a8e9bcdac2846ab6c327f87c
[ "BSD-3-Clause" ]
null
null
null
"""Tests for core.billing. Run this test from the project root $ nosetests core.tests.billing_tests Copyright (c) 2016-present, Facebook, Inc. All rights reserved. This source code is licensed under the BSD-style license found in the LICENSE file in the root directory of this source tree. An additional grant of ...
38.481356
79
0.587738
1,338
11,352
4.703288
0.189088
0.06102
0.05085
0.060385
0.574289
0.457969
0.388527
0.332751
0.290958
0.267917
0
0.047747
0.313689
11,352
294
80
38.612245
0.759979
0.177149
0
0.271429
0
0
0.179624
0.05654
0
0
0
0
0.090476
1
0.1
false
0
0.066667
0
0.185714
0.019048
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbba66cc16504421bbf294d9cd7ab892cc735e8e
4,880
py
Python
apps/greencheck/forms.py
BR0kEN-/admin-portal
0c38dc0d790031f45bf07660bce690e972fe2858
[ "Apache-2.0" ]
null
null
null
apps/greencheck/forms.py
BR0kEN-/admin-portal
0c38dc0d790031f45bf07660bce690e972fe2858
[ "Apache-2.0" ]
null
null
null
apps/greencheck/forms.py
BR0kEN-/admin-portal
0c38dc0d790031f45bf07660bce690e972fe2858
[ "Apache-2.0" ]
null
null
null
from django import forms from django.forms import ModelForm from django.contrib.auth import get_user_model from django.core.exceptions import ValidationError from .choices import ActionChoice from .choices import StatusApproval from .models import GreencheckIp from .models import GreencheckIpApprove from .models impor...
30.886076
85
0.608811
509
4,880
5.711198
0.269155
0.078431
0.028896
0.023392
0.280358
0.21431
0.184727
0.094255
0.094255
0.094255
0
0
0.317623
4,880
157
86
31.082803
0.872973
0.127049
0
0.317757
0
0
0.050181
0
0
0
0
0
0
1
0.056075
false
0
0.084112
0
0.327103
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbbc25c0d987a2badd4b10e9df8a681d25f102e8
23,904
py
Python
ipamanager/entities.py
Tjev/freeipa-manager
0d40e64d81a86d4312b4e22cd57dcaecf25d0801
[ "BSD-3-Clause" ]
null
null
null
ipamanager/entities.py
Tjev/freeipa-manager
0d40e64d81a86d4312b4e22cd57dcaecf25d0801
[ "BSD-3-Clause" ]
null
null
null
ipamanager/entities.py
Tjev/freeipa-manager
0d40e64d81a86d4312b4e22cd57dcaecf25d0801
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- # SPDX-License-Identifier: BSD-3-Clause # Copyright © 2017-2019, GoodData Corporation. All rights reserved. """ FreeIPA Manager - entity module Object representations of the entities configured in FreeIPA. """ import os import re import voluptuous import yaml from abc imp...
39.058824
79
0.616508
2,657
23,904
5.392548
0.164471
0.027638
0.023451
0.024567
0.382119
0.329146
0.25998
0.226549
0.196678
0.181044
0
0.001006
0.293047
23,904
611
80
39.12275
0.846796
0.255982
0
0.246032
0
0
0.104401
0.009874
0
0
0
0
0
1
0.100529
false
0
0.02381
0.021164
0.388889
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbbe56b29123b2a0ee8c4986b892e3949b69a274
2,362
py
Python
__main__.py
SHUcream00/MLBPitchVisual
a3092cef7cbd4e73f8d0010dd62811df6cc36cac
[ "MIT" ]
null
null
null
__main__.py
SHUcream00/MLBPitchVisual
a3092cef7cbd4e73f8d0010dd62811df6cc36cac
[ "MIT" ]
null
null
null
__main__.py
SHUcream00/MLBPitchVisual
a3092cef7cbd4e73f8d0010dd62811df6cc36cac
[ "MIT" ]
null
null
null
import pandas as pd import numpy as np import matplotlib.pyplot as plt def visualize(dataframe, balltype): df = dataframe #Filter by balltype res = df[df["pitch_type"] == balltype] #Group by results groups = res.groupby("description") for name, group in groups: if name ==...
37.492063
192
0.615157
336
2,362
4.142857
0.443452
0.030172
0.028736
0.028017
0.188218
0.188218
0.177443
0.12069
0.086207
0.086207
0
0.017507
0.201948
2,362
62
193
38.096774
0.720955
0.07155
0
0
0
0
0.286387
0.024023
0
0
0
0
0
1
0.025
false
0
0.075
0
0.1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbc0541470856937f6eef50be9d0887839277ab1
3,472
py
Python
utils/ghost.py
JayJJChen/LoveXueXiQiangGuo
648a38cd73d1eb7ed7267721f1a23c90afb0daee
[ "MIT" ]
3
2019-04-16T07:52:20.000Z
2021-08-16T03:07:14.000Z
utils/ghost.py
JayJJChen/LoveXueXiQiangGuo
648a38cd73d1eb7ed7267721f1a23c90afb0daee
[ "MIT" ]
1
2019-04-17T02:23:32.000Z
2020-12-24T11:04:52.000Z
utils/ghost.py
JayJJChen/LoveXueXiQiangGuo
648a38cd73d1eb7ed7267721f1a23c90afb0daee
[ "MIT" ]
2
2019-04-17T04:00:55.000Z
2019-09-18T00:57:35.000Z
import os import time from utils.eye import Eye from utils.finger import Finger class Ghost: """class to navigate the app, with Eye and Finger""" def __init__(self, adb_path, temp_path, sleep_sec=2): self.eye = Eye(adb_path, temp_path) self.finger = Finger(adb_path, sleep_sec=sleep_sec) ...
30.191304
97
0.563652
484
3,472
3.855372
0.254132
0.037513
0.041265
0.036442
0.383708
0.326902
0.259378
0.229368
0.192926
0.192926
0
0.028657
0.326613
3,472
114
98
30.45614
0.769461
0.128168
0
0.337662
0
0
0.058276
0
0
0
0
0
0
1
0.168831
false
0
0.051948
0
0.298701
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbc489c4f1e6739cd6d3b2e54cc4268da59045a7
336
py
Python
quran_text/urls.py
Quran-Tafseer/tafseer_api
49eede15a6e50812a4bab1e0e1e38069fcb0da4d
[ "MIT" ]
16
2019-03-02T13:08:59.000Z
2022-02-26T17:26:09.000Z
quran_text/urls.py
EmadMokhtar/tafseer_api
abb2d53eb917f58db1e09f7d92180b0eb8001a40
[ "MIT" ]
45
2017-10-25T06:17:50.000Z
2018-12-08T17:01:41.000Z
quran_text/urls.py
Quran-Tafseer/tafseer_api
49eede15a6e50812a4bab1e0e1e38069fcb0da4d
[ "MIT" ]
6
2019-02-09T03:57:09.000Z
2021-12-29T02:54:29.000Z
from django.urls import path from . import views urlpatterns = [ path('', view=views.SuraListView.as_view(), name='sura-list'), path('<int:sura_num>/<int:number>/', view=views.AyahTextView.as_view(), name='ayah-detail'), path('<int:sura_num>/<int:number>', view=views.AyahTextVie...
25.846154
64
0.630952
43
336
4.813953
0.44186
0.130435
0.096618
0.135266
0.483092
0.483092
0.483092
0.483092
0.483092
0.483092
0
0
0.181548
336
12
65
28
0.752727
0
0
0
0
0
0.223214
0.16369
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbc6237f7856e6445933721e9b53e17ec980bef0
8,205
py
Python
main.py
PotentialParadox/PyReparm
70062e351eebacb9c6cb3dc0262e97256c52be3d
[ "Apache-2.0" ]
null
null
null
main.py
PotentialParadox/PyReparm
70062e351eebacb9c6cb3dc0262e97256c52be3d
[ "Apache-2.0" ]
null
null
null
main.py
PotentialParadox/PyReparm
70062e351eebacb9c6cb3dc0262e97256c52be3d
[ "Apache-2.0" ]
null
null
null
import random from evaluation import Evaluator from generator import generator from mutate import mutateset from deap import base from deap import creator from deap import tools from parameter_group import ParameterGroup import gaussian_output from analysis import Analysis from gaussian_input import GaussianInput from ...
36.145374
92
0.584156
905
8,205
5.140331
0.259669
0.081685
0.045142
0.045142
0.11221
0.061049
0.061049
0.037403
0.022356
0.022356
0
0.006928
0.155637
8,205
226
93
36.30531
0.66455
0.271176
0
0.110092
0
0
0.065442
0
0
0
0
0
0
1
0
false
0
0.211009
0
0.211009
0.055046
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbc6b99c48a68e88a0554cb932a77dac52c1e5c0
1,460
py
Python
repo/script.module.liveresolver/lib/liveresolver/resolvers/finecast.py
Hades01/Addons
710da97ac850197498a3cd64be1811c593610add
[ "Apache-2.0" ]
3
2020-03-03T13:21:44.000Z
2021-07-21T09:53:31.000Z
repo/script.module.liveresolver/lib/liveresolver/resolvers/finecast.py
Hades01/Addons
710da97ac850197498a3cd64be1811c593610add
[ "Apache-2.0" ]
null
null
null
repo/script.module.liveresolver/lib/liveresolver/resolvers/finecast.py
Hades01/Addons
710da97ac850197498a3cd64be1811c593610add
[ "Apache-2.0" ]
2
2020-04-01T22:11:12.000Z
2020-05-07T23:54:52.000Z
# -*- coding: utf-8 -*- import re,urlparse,cookielib,os,urllib from liveresolver.modules import client,recaptcha_v2,control,constants, decryptionUtils from liveresolver.modules.log_utils import log cookieFile = os.path.join(control.dataPath, 'finecastcookie.lwp') def resolve(url): #try: try: ...
30.416667
87
0.619178
171
1,460
5.239766
0.502924
0.030134
0.051339
0.051339
0.087054
0.087054
0.087054
0
0
0
0
0.021016
0.217808
1,460
48
88
30.416667
0.763573
0.031507
0
0.258065
0
0.032258
0.139815
0.031228
0
0
0
0
0
1
0.064516
false
0
0.096774
0
0.225806
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbc7c8fe7bece88307002636b27bacde286985d2
3,520
py
Python
app.py
pizzapanther/google-actions-python-example
40d13fc1821e1e11f15cc7413571cb5bd6327024
[ "MIT" ]
9
2017-11-17T07:09:08.000Z
2020-07-03T13:32:16.000Z
app.py
pizzapanther/google-actions-python-example
40d13fc1821e1e11f15cc7413571cb5bd6327024
[ "MIT" ]
2
2019-08-10T05:49:47.000Z
2021-04-30T20:51:40.000Z
app.py
pizzapanther/google-actions-python-example
40d13fc1821e1e11f15cc7413571cb5bd6327024
[ "MIT" ]
5
2018-05-04T08:05:55.000Z
2021-08-25T05:49:18.000Z
#!/usr/bin/env python import os import json import tornado.ioloop import tornado.log import tornado.web from google.oauth2 import id_token from google.auth.transport import requests as google_requests import jwt import requests API_KEY = os.environ.get('OPEN_WEATHER_MAP_KEY', None) PROJECT_ID = os.environ.get('PRO...
25.693431
98
0.563352
368
3,520
5.263587
0.391304
0.021683
0.026846
0.043366
0.247806
0.247806
0.247806
0.247806
0.20857
0.121838
0
0.011722
0.297159
3,520
136
99
25.882353
0.771221
0.023864
0
0.294643
0
0
0.224585
0.016312
0
0
0
0
0
1
0.044643
false
0
0.080357
0.008929
0.142857
0.017857
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbc99a75d68d09d60f840eae7b285af4fedbeeae
2,988
py
Python
azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/bms_container_query_object.py
JonathanGailliez/azure-sdk-for-python
f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b
[ "MIT" ]
1
2018-07-23T08:59:24.000Z
2018-07-23T08:59:24.000Z
azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/bms_container_query_object.py
JonathanGailliez/azure-sdk-for-python
f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b
[ "MIT" ]
1
2018-11-29T14:46:42.000Z
2018-11-29T14:46:42.000Z
azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/bms_container_query_object.py
JonathanGailliez/azure-sdk-for-python
f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b
[ "MIT" ]
1
2018-08-28T14:36:47.000Z
2018-08-28T14:36:47.000Z
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes ...
44.597015
81
0.662316
309
2,988
6.249191
0.433657
0.029001
0.072501
0.029001
0.047644
0.047644
0.047644
0
0
0
0
0.000405
0.174364
2,988
66
82
45.272727
0.782327
0.593039
0
0
0
0
0.305657
0.060219
0
0
0
0
0
1
0.047619
false
0
0.047619
0
0.238095
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbca2b427044c8866cf81d44e473638aa489abca
274
py
Python
ia870/iagradm.py
rdenadai/ia870p3
c4823efc4b8e5f187a64f8a4e9962e328bf86967
[ "BSD-2-Clause" ]
5
2018-10-15T12:02:03.000Z
2022-02-11T12:47:12.000Z
ia870/iagradm.py
rdenadai/ia870p3
c4823efc4b8e5f187a64f8a4e9962e328bf86967
[ "BSD-2-Clause" ]
1
2018-10-15T12:04:36.000Z
2019-01-25T12:04:35.000Z
ia870/iagradm.py
rdenadai/ia870p3
c4823efc4b8e5f187a64f8a4e9962e328bf86967
[ "BSD-2-Clause" ]
4
2019-01-25T11:13:48.000Z
2020-12-20T01:42:33.000Z
# -*- encoding: utf-8 -*- # Module iagradm def iagradm(f, Bdil=None, Bero=None): from ia870 import iasubm,iadil,iaero,iasecross if Bdil is None: Bdil = iasecross() if Bero is None: Bero = iasecross() y = iasubm( iadil(f,Bdil),iaero(f,Bero)) return y
21.076923
50
0.642336
41
274
4.292683
0.512195
0.056818
0
0
0
0
0
0
0
0
0
0.018692
0.218978
274
12
51
22.833333
0.803738
0.138686
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbcc6f4ccb0dabce5252e1dd4108228b2c863f99
721
py
Python
web/web-lemonthinker/src/app/app.py
NoXLaw/RaRCTF2021-Challenges-Public
1a1b094359b88f8ebbc83a6b26d27ffb2602458f
[ "MIT" ]
2
2021-08-09T17:08:12.000Z
2021-08-09T17:08:17.000Z
web/web-lemonthinker/src/app/app.py
NoXLaw/RaRCTF2021-Challenges-Public
1a1b094359b88f8ebbc83a6b26d27ffb2602458f
[ "MIT" ]
null
null
null
web/web-lemonthinker/src/app/app.py
NoXLaw/RaRCTF2021-Challenges-Public
1a1b094359b88f8ebbc83a6b26d27ffb2602458f
[ "MIT" ]
1
2021-10-09T16:51:56.000Z
2021-10-09T16:51:56.000Z
from flask import Flask, request, redirect, url_for import os import random import string import time # lemonthink clean = time.time() app = Flask(__name__) chars = list(string.ascii_letters + string.digits) @app.route('/') def main(): return open("index.html").read() @app.route('/generate', methods=['POST']) de...
28.84
79
0.653259
96
721
4.833333
0.572917
0.051724
0.060345
0
0
0
0
0
0
0
0
0.013267
0.163662
721
25
79
28.84
0.756219
0.01387
0
0.090909
0
0
0.138028
0
0
0
0
0
0
1
0.090909
false
0
0.227273
0.045455
0.409091
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbccbf08a5c6a38fe09196877c8bb3f8a56251c4
816
py
Python
aprendizado/codewars/descending_order.py
renatodev95/Python
2adee4a01de41f8bbb68fce563100c135a5ab549
[ "MIT" ]
null
null
null
aprendizado/codewars/descending_order.py
renatodev95/Python
2adee4a01de41f8bbb68fce563100c135a5ab549
[ "MIT" ]
null
null
null
aprendizado/codewars/descending_order.py
renatodev95/Python
2adee4a01de41f8bbb68fce563100c135a5ab549
[ "MIT" ]
null
null
null
# Your task is to make a function that can take any non-negative integer as an argument and return it with its digits in descending order. Essentially, rearrange the digits to create the highest possible number. # Função que recebe um número inteiro (não negativo) como argumento e o retorna com os dígitos em ordem des...
38.857143
211
0.734069
127
816
4.645669
0.622047
0.047458
0.030508
0.023729
0
0
0
0
0
0
0
0.006061
0.191176
816
20
212
40.8
0.887879
0.582108
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0
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
0
0
0
0
0
0
0
0
0
0
1
0
dbd1044b9a9e2ac21f72f6855560f0e23688f3f9
8,025
py
Python
docs/conf.py
urm8/django-translations
e8f66710af9433044937b75c061e1988add398a5
[ "BSD-3-Clause" ]
100
2018-11-20T19:30:49.000Z
2022-03-10T07:46:27.000Z
docs/conf.py
urm8/django-translations
e8f66710af9433044937b75c061e1988add398a5
[ "BSD-3-Clause" ]
30
2018-11-27T19:53:53.000Z
2022-02-04T14:56:52.000Z
docs/conf.py
urm8/django-translations
e8f66710af9433044937b75c061e1988add398a5
[ "BSD-3-Clause" ]
25
2019-05-30T13:41:47.000Z
2022-03-25T04:28:17.000Z
# -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup ------------------------------------------------------------...
27.389078
79
0.642492
947
8,025
5.372756
0.370644
0.015723
0.005503
0.005896
0.186124
0.129127
0.112421
0.112421
0.096698
0.082547
0
0.002711
0.172586
8,025
292
80
27.482877
0.763554
0.530841
0
0.152542
0
0
0.536845
0.148199
0
0
0
0.003425
0
1
0
false
0
0.110169
0
0.110169
0.033898
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd2339bf7055960ea772c1eecf31ab430a3ae71
5,297
py
Python
src/waldur_core/core/tests/helpers.py
geant-multicloud/MCMS-mastermind
81333180f5e56a0bc88d7dad448505448e01f24e
[ "MIT" ]
26
2017-10-18T13:49:58.000Z
2021-09-19T04:44:09.000Z
src/waldur_core/core/tests/helpers.py
geant-multicloud/MCMS-mastermind
81333180f5e56a0bc88d7dad448505448e01f24e
[ "MIT" ]
14
2018-12-10T14:14:51.000Z
2021-06-07T10:33:39.000Z
src/waldur_core/core/tests/helpers.py
geant-multicloud/MCMS-mastermind
81333180f5e56a0bc88d7dad448505448e01f24e
[ "MIT" ]
32
2017-09-24T03:10:45.000Z
2021-10-16T16:41:09.000Z
import copy from django.conf import settings from django.test.utils import override_settings from rest_framework import status, test class PermissionsTest(test.APITransactionTestCase): """ Abstract class for permissions tests. Methods `get_urls_configs`, `get_users_with_permission`, `get_users_witho...
37.302817
106
0.605815
596
5,297
5.20302
0.233221
0.028378
0.034827
0.028378
0.403096
0.320542
0.268301
0.242825
0.20058
0.112222
0
0.004093
0.308099
5,297
141
107
37.567376
0.842019
0.343968
0
0.163934
0
0.032787
0.085113
0
0
0
0
0
0.065574
1
0.131148
false
0.016393
0.065574
0.016393
0.262295
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd3d31bd1a8e525699ace640bf7abf893c326e1
1,121
py
Python
data/benchmark.py
Gummary/denet
00d814d75eea54d5b259fce128ae7b625a900140
[ "MIT" ]
343
2020-04-02T06:22:18.000Z
2022-03-25T12:51:55.000Z
data/benchmark.py
sanglee325/cutblur
1589718b27973bec41289bbd5ad5a71ebe2e9925
[ "MIT" ]
26
2020-04-30T03:23:15.000Z
2022-02-20T07:31:42.000Z
data/benchmark.py
sanglee325/cutblur
1589718b27973bec41289bbd5ad5a71ebe2e9925
[ "MIT" ]
66
2020-04-02T06:55:37.000Z
2022-03-10T15:44:19.000Z
""" CutBlur Copyright 2020-present NAVER corp. MIT license """ import os import glob import data class BenchmarkSR(data.BaseDataset): def __init__(self, phase, opt): root = opt.dataset_root self.scale = opt.scale dir_HQ, dir_LQ = self.get_subdir() self.HQ_paths = sorted(glob.glob(o...
22.877551
78
0.611954
152
1,121
4.203947
0.276316
0.062598
0.065728
0.062598
0.571205
0.516432
0.450704
0.344288
0.344288
0.231612
0
0.00479
0.255129
1,121
48
79
23.354167
0.760479
0.048171
0
0.451613
0
0
0.021719
0
0
0
0
0
0
1
0.193548
false
0
0.096774
0
0.483871
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd4271941c1c0d5952f6d9d574008a25b255d3d
917
py
Python
pytglib/api/types/update_chat_is_pinned.py
iTeam-co/pytglib
e5e75e0a85f89b77762209b32a61b0a883c0ae61
[ "MIT" ]
6
2019-10-30T08:57:27.000Z
2021-02-08T14:17:43.000Z
pytglib/api/types/update_chat_is_pinned.py
iTeam-co/python-telegram
e5e75e0a85f89b77762209b32a61b0a883c0ae61
[ "MIT" ]
1
2021-08-19T05:44:10.000Z
2021-08-19T07:14:56.000Z
pytglib/api/types/update_chat_is_pinned.py
iTeam-co/python-telegram
e5e75e0a85f89b77762209b32a61b0a883c0ae61
[ "MIT" ]
5
2019-12-04T05:30:39.000Z
2021-05-21T18:23:32.000Z
from ..utils import Object class UpdateChatIsPinned(Object): """ A chat was pinned or unpinned Attributes: ID (:obj:`str`): ``UpdateChatIsPinned`` Args: chat_id (:obj:`int`): Chat identifier is_pinned (:obj:`bool`): New value of is_pinned ...
22.365854
60
0.563795
106
917
4.698113
0.386792
0.128514
0.104418
0.084337
0.076305
0
0
0
0
0
0
0
0.320611
917
40
61
22.925
0.799358
0.368593
0
0
0
0
0.112426
0
0
0
0
0
0
1
0.153846
false
0
0.076923
0
0.461538
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd513568e3fe748df68592f5efb0230845ec0a5
990
py
Python
setup.py
dylancrockett/iot.io
472767186a5500e05b02d821f32e1208f3652418
[ "MIT" ]
null
null
null
setup.py
dylancrockett/iot.io
472767186a5500e05b02d821f32e1208f3652418
[ "MIT" ]
null
null
null
setup.py
dylancrockett/iot.io
472767186a5500e05b02d821f32e1208f3652418
[ "MIT" ]
null
null
null
from setuptools import setup import iotio with open("README.md", "r") as fh: long_description = fh.read() setup( name="iot.io", version=iotio.__version__, packages=["iotio"], author="Dylan Crockett", author_email="dylanrcrockett@gmail.com", license="MIT", description="A management API ...
28.285714
98
0.639394
106
990
5.839623
0.669811
0.096931
0.061389
0.096931
0.103393
0.103393
0
0
0
0
0
0.003881
0.219192
990
34
99
29.117647
0.796895
0
0
0.0625
0
0
0.441414
0.024242
0
0
0
0
0
1
0
false
0
0.0625
0
0.0625
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd57373c1091216c9a267bad2a40451008902b2
1,820
py
Python
trellominer/api/trello.py
xnoder/trellominer
629d8f916486aa94a5bfa3a9497c36316c2864ed
[ "MIT" ]
null
null
null
trellominer/api/trello.py
xnoder/trellominer
629d8f916486aa94a5bfa3a9497c36316c2864ed
[ "MIT" ]
null
null
null
trellominer/api/trello.py
xnoder/trellominer
629d8f916486aa94a5bfa3a9497c36316c2864ed
[ "MIT" ]
null
null
null
import os import requests from trellominer.config import yaml class HTTP(object): def __init__(self): self.config = yaml.read(os.getenv("TRELLO_CONFIG", default=os.path.join(os.path.expanduser('~'), ".trellominer.yaml"))) self.api_url = os.getenv("TRELLO_URL", default=self.config['api']['url'])...
40.444444
165
0.644505
255
1,820
4.419608
0.239216
0.093168
0.074534
0.088731
0.341615
0.325643
0.325643
0.325643
0.233363
0.233363
0
0.010804
0.186264
1,820
44
166
41.363636
0.750169
0
0
0.30303
0
0.030303
0.231868
0.142857
0
0
0
0
0
1
0.181818
false
0
0.090909
0
0.454545
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd5cd5e6175ef560ba478a76fe061ded7bfc8d7
2,337
py
Python
alexnet_guided_bp_vanilla.py
wezteoh/face_perception_thru_backprop
449f78ce330876ff25fbcdf892023fd2ba86005c
[ "MIT" ]
null
null
null
alexnet_guided_bp_vanilla.py
wezteoh/face_perception_thru_backprop
449f78ce330876ff25fbcdf892023fd2ba86005c
[ "MIT" ]
null
null
null
alexnet_guided_bp_vanilla.py
wezteoh/face_perception_thru_backprop
449f78ce330876ff25fbcdf892023fd2ba86005c
[ "MIT" ]
null
null
null
import numpy as np import tensorflow as tf import os from scipy.io import savemat from scipy.io import loadmat from scipy.misc import imread from scipy.misc import imsave from alexnet_face_classifier import * import matplotlib.pyplot as plt plt.switch_backend('agg') class backprop_graph: def __init__(self, num_...
37.095238
110
0.693624
360
2,337
4.330556
0.255556
0.085311
0.041052
0.051315
0.20077
0.20077
0.116742
0
0
0
0
0.031672
0.175867
2,337
62
111
37.693548
0.777778
0
0
0
0
0
0.003432
0
0
0
0
0
0
1
0.102564
false
0
0.230769
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd6ae222f06041fd60daf0b6a6b62ee66225c4f
18,729
py
Python
tests/test_sqlalchemy_registry.py
AferriDaniel/coaster
3ffbc9d33c981284593445299aaee0c3cc0cdb0b
[ "BSD-2-Clause" ]
48
2015-01-15T08:57:24.000Z
2022-01-26T04:04:34.000Z
tests/test_sqlalchemy_registry.py
AferriDaniel/coaster
3ffbc9d33c981284593445299aaee0c3cc0cdb0b
[ "BSD-2-Clause" ]
169
2015-01-16T13:17:38.000Z
2021-05-31T13:23:23.000Z
tests/test_sqlalchemy_registry.py
AferriDaniel/coaster
3ffbc9d33c981284593445299aaee0c3cc0cdb0b
[ "BSD-2-Clause" ]
17
2015-02-15T07:39:04.000Z
2021-10-05T11:20:22.000Z
"""Registry and RegistryMixin tests.""" from types import SimpleNamespace import pytest from coaster.db import db from coaster.sqlalchemy import BaseMixin from coaster.sqlalchemy.registry import Registry # --- Fixtures ------------------------------------------------------------------------- @pytest.fixture() def...
33.148673
88
0.724171
2,008
18,729
6.539343
0.10757
0.070368
0.063057
0.038535
0.646028
0.587389
0.518849
0.467977
0.409717
0.374914
0
0.010394
0.183245
18,729
564
89
33.207447
0.848009
0.17545
0
0.543478
0
0
0.009265
0
0
0
0
0.001773
0.225543
1
0.105978
false
0.002717
0.013587
0.021739
0.244565
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd936c5bdf9f66abffeaa3d4ec25c893af108da
4,239
py
Python
api/controller/activity.py
DXCChina/pms
c779a69f25fb08101593c6ff0451debc0abce6e4
[ "MIT" ]
27
2017-11-06T06:58:30.000Z
2021-04-23T02:47:23.000Z
api/controller/activity.py
DXCChina/pms
c779a69f25fb08101593c6ff0451debc0abce6e4
[ "MIT" ]
3
2017-12-08T02:55:42.000Z
2019-06-04T15:23:03.000Z
api/controller/activity.py
DXCChina/pms
c779a69f25fb08101593c6ff0451debc0abce6e4
[ "MIT" ]
16
2017-10-12T03:06:39.000Z
2020-12-24T09:00:49.000Z
# -*- coding: utf-8 -*- '''活动管理接口''' from flask import request from model.db import database, Activity, ActivityMember, Demand, ActivityBase, ProjectMember, User from model.role import identity from flask_jwt_extended import (fresh_jwt_required) def demand_activity_add(activity_id, data): '''添加活动需求''' for d...
35.033058
98
0.599198
459
4,239
5.352941
0.169935
0.10582
0.08954
0.039072
0.524217
0.460317
0.319088
0.293854
0.258038
0.258038
0
0.000655
0.279547
4,239
120
99
35.325
0.803864
0.082095
0
0.3
0
0
0.071466
0
0
0
0
0
0
1
0.077778
false
0
0.044444
0
0.166667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbd96b797fa91e96b8a7f838f8fb68571c587fa0
326
py
Python
math/9. Palindrome number.py
Rage-ops/Leetcode-Solutions
48d4ecbb92a0bb7a7bb74a1445b593a67357ac02
[ "MIT" ]
1
2020-11-23T13:52:11.000Z
2020-11-23T13:52:11.000Z
math/9. Palindrome number.py
harsha-sam/Leetcode-Solutions
48d4ecbb92a0bb7a7bb74a1445b593a67357ac02
[ "MIT" ]
null
null
null
math/9. Palindrome number.py
harsha-sam/Leetcode-Solutions
48d4ecbb92a0bb7a7bb74a1445b593a67357ac02
[ "MIT" ]
null
null
null
# Easy # https://leetcode.com/problems/palindrome-number/ # Time Complexity: O(log(x) to base 10) # Space Complexity: O(1) class Solution: def isPalindrome(self, x: int) -> bool: temp = x rev = 0 while temp > 0: rev = rev * 10 + temp % 10 temp //= 10 return re...
27.166667
50
0.542945
44
326
4.022727
0.659091
0.124294
0.090395
0
0
0
0
0
0
0
0
0.050459
0.331288
326
12
51
27.166667
0.761468
0.349693
0
0
0
0
0
0
0
0
0
0
0
1
0.125
false
0
0
0
0.375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbdc8acd947df0cf5d903b9fd18f947cd84ecb24
4,762
py
Python
prtg/client.py
kevinschoon/prtg-py
714e0750606e55b2cd4c7dff8770d94057fa932b
[ "MIT" ]
null
null
null
prtg/client.py
kevinschoon/prtg-py
714e0750606e55b2cd4c7dff8770d94057fa932b
[ "MIT" ]
null
null
null
prtg/client.py
kevinschoon/prtg-py
714e0750606e55b2cd4c7dff8770d94057fa932b
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Python library for Paessler's PRTG (http://www.paessler.com/) """ import logging import xml.etree.ElementTree as Et from urllib import request from prtg.cache import Cache from prtg.models import Sensor, Device, Status, PrtgObject from prtg.exceptions import BadTarget, UnknownResponse cl...
32.616438
145
0.558169
518
4,762
5.063707
0.295367
0.020587
0.010294
0.019443
0.035837
0.035837
0.035837
0.035837
0.035837
0.035837
0
0.00094
0.330113
4,762
145
146
32.841379
0.821317
0.059219
0
0.166667
0
0
0.040552
0
0
0
0
0
0
1
0.106061
false
0.030303
0.090909
0
0.287879
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbdd97337631bf234182cdf6ceb595a8b38fcc53
359
py
Python
pyunitwizard/_private_tools/parsers.py
uibcdf/pyunitwizard
54cdce7369e1f2a3771a1f05a4a6ba1d7610a5e7
[ "MIT" ]
null
null
null
pyunitwizard/_private_tools/parsers.py
uibcdf/pyunitwizard
54cdce7369e1f2a3771a1f05a4a6ba1d7610a5e7
[ "MIT" ]
null
null
null
pyunitwizard/_private_tools/parsers.py
uibcdf/pyunitwizard
54cdce7369e1f2a3771a1f05a4a6ba1d7610a5e7
[ "MIT" ]
null
null
null
parsers = ['openmm.unit', 'pint', 'unyt'] def digest_parser(parser: str) -> str: """ Check if parser is correct.""" if parser is not None: if parser.lower() in parsers: return parser.lower() else: raise ValueError else: from pyunitwizard.kernel import default...
25.642857
54
0.601671
42
359
5.071429
0.619048
0.112676
0.093897
0
0
0
0
0
0
0
0
0
0.29805
359
13
55
27.615385
0.845238
0.075209
0
0.2
0
0
0.058642
0
0
0
0
0
0
1
0.1
false
0
0.1
0
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
dbddb2e414eaaea37bf5ee700d9d3c21f697c101
6,606
py
Python
metric_wsd/utils/data_utils.py
bartonlin/MWSD
70ad446ee7f00a11988acb290270e32d8e6af925
[ "MIT" ]
4
2021-04-27T16:28:51.000Z
2021-08-30T11:10:28.000Z
metric_wsd/utils/data_utils.py
bartonlin/MWSD
70ad446ee7f00a11988acb290270e32d8e6af925
[ "MIT" ]
null
null
null
metric_wsd/utils/data_utils.py
bartonlin/MWSD
70ad446ee7f00a11988acb290270e32d8e6af925
[ "MIT" ]
2
2021-08-25T14:29:45.000Z
2022-02-12T02:09:45.000Z
''' Copyright (c) Facebook, Inc. and its affiliates. All rights reserved. This source code is licensed under the license found in the LICENSE file in the root directory of this source tree. Code taken from: https://github.com/facebookresearch/wsd-biencoders/blob/master/wsd_models/util.py ''' import os import re impo...
29.891403
98
0.673479
990
6,606
4.369697
0.261616
0.020342
0.011558
0.014794
0.251271
0.111188
0.092233
0.092233
0.085761
0.085761
0
0.011389
0.189222
6,606
220
99
30.027273
0.796303
0.189979
0
0.2375
0
0
0.079526
0
0
0
0
0
0.025
1
0.0625
false
0
0.0375
0
0.1625
0.00625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9155e8339948407989efd32f44f9c2682f1c678e
931
py
Python
groclient/constants.py
eric-gro/api-client
0ca73422c25b5065907d068a44b72bdc43fea79f
[ "MIT" ]
18
2019-01-10T21:06:17.000Z
2022-03-15T06:22:18.000Z
groclient/constants.py
eric-gro/api-client
0ca73422c25b5065907d068a44b72bdc43fea79f
[ "MIT" ]
138
2019-01-16T15:35:35.000Z
2022-03-23T13:05:03.000Z
groclient/constants.py
eric-gro/api-client
0ca73422c25b5065907d068a44b72bdc43fea79f
[ "MIT" ]
24
2019-02-22T19:24:54.000Z
2022-03-15T10:17:37.000Z
"""Constants about the Gro ontology that can be imported and re-used anywhere.""" REGION_LEVELS = { 'world': 1, 'continent': 2, 'country': 3, 'province': 4, # Equivalent to state in the United States 'district': 5, # Equivalent to county in the United States 'city': 6, 'market': 7, 'o...
22.707317
88
0.628357
115
931
4.782609
0.582609
0.058182
0.04
0.061818
0.083636
0
0
0
0
0
0
0.012346
0.216971
931
40
89
23.275
0.742112
0.170784
0
0
0
0
0.415686
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9156c4aa90ea0469b8acd15340e3ebcae1eab123
1,535
py
Python
asv_bench/benchmarks/tslibs/period.py
CitizenB/pandas
ee1efb6d923a2c3e5a912efe20a336179614993d
[ "PSF-2.0", "Apache-2.0", "BSD-3-Clause-No-Nuclear-License-2014", "MIT", "ECL-2.0", "BSD-3-Clause" ]
6
2020-09-10T15:03:25.000Z
2021-04-01T22:48:33.000Z
asv_bench/benchmarks/tslibs/period.py
ivan-vasilev/pandas
4071dde86e33434e1bee8304fa62074949f813cc
[ "BSD-3-Clause" ]
7
2015-08-30T23:51:00.000Z
2018-12-29T19:52:35.000Z
asv_bench/benchmarks/tslibs/period.py
ivan-vasilev/pandas
4071dde86e33434e1bee8304fa62074949f813cc
[ "BSD-3-Clause" ]
5
2017-10-04T22:24:49.000Z
2021-08-06T13:50:13.000Z
""" Period benchmarks that rely only on tslibs. See benchmarks.period for Period benchmarks that rely on other parts fo pandas. """ from pandas import Period from pandas.tseries.frequencies import to_offset class PeriodProperties: params = ( ["M", "min"], [ "year", "mont...
21.619718
70
0.536808
173
1,535
4.641619
0.381503
0.099626
0.054795
0.07472
0.117061
0.117061
0.089664
0.089664
0.089664
0.089664
0
0.023369
0.330945
1,535
70
71
21.928571
0.75852
0.080782
0
0.040816
0
0
0.119743
0
0
0
0
0
0
1
0.163265
false
0
0.040816
0
0.387755
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
915bb507e25fc7cb08c5d136b971e88a2d706d9b
1,934
py
Python
tests/integration/test_infrastructure_persistence.py
othercodes/sample-todo-list-hexagonal-achitecture
a958c6906d8e777e837c8348c754b637b89a7031
[ "Apache-2.0" ]
null
null
null
tests/integration/test_infrastructure_persistence.py
othercodes/sample-todo-list-hexagonal-achitecture
a958c6906d8e777e837c8348c754b637b89a7031
[ "Apache-2.0" ]
null
null
null
tests/integration/test_infrastructure_persistence.py
othercodes/sample-todo-list-hexagonal-achitecture
a958c6906d8e777e837c8348c754b637b89a7031
[ "Apache-2.0" ]
null
null
null
from typing import Optional from complexheart.domain.criteria import Criteria from sqlalchemy import create_engine from sqlalchemy.engine import Engine from sqlalchemy.orm import sessionmaker from to_do_list.tasks.domain.models import Task from to_do_list.tasks.infrastructure.persistence.relational import RelationalT...
27.628571
104
0.73061
231
1,934
5.909091
0.281385
0.046886
0.049817
0.067399
0.591941
0.567033
0.524542
0.524542
0.524542
0.524542
0
0.00496
0.165977
1,934
69
105
28.028986
0.84129
0
0
0.363636
0
0
0.044984
0
0
0
0
0
0.136364
1
0.113636
false
0
0.159091
0
0.272727
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
915c531ce1a9edc3c8480b0c6bf84bed9c0ec81f
2,934
py
Python
wagtail_jinja2/extensions.py
minervaproject/wagtail-jinja2-extensions
708f2f873273312ead80d67c3eff0555f152d072
[ "MIT" ]
6
2015-09-25T15:33:17.000Z
2021-11-17T23:25:52.000Z
wagtail_jinja2/extensions.py
minervaproject/wagtail-jinja2-extensions
708f2f873273312ead80d67c3eff0555f152d072
[ "MIT" ]
1
2015-09-29T15:53:40.000Z
2015-09-29T15:53:40.000Z
wagtail_jinja2/extensions.py
minervaproject/wagtail-jinja2-extensions
708f2f873273312ead80d67c3eff0555f152d072
[ "MIT" ]
null
null
null
from jinja2.ext import Extension from jinja2 import nodes from jinja2 import Markup from wagtail.wagtailadmin.templatetags.wagtailuserbar import wagtailuserbar as original_wagtailuserbar from wagtail.wagtailimages.models import Filter, SourceImageIOError class WagtailUserBarExtension(Extension): tags = set(['wag...
40.75
113
0.65576
354
2,934
5.279661
0.378531
0.048154
0.069556
0.032103
0.122525
0.055645
0.055645
0.055645
0.055645
0.055645
0
0.002313
0.263122
2,934
71
114
41.323944
0.862165
0.224608
0
0.108696
0
0
0.026979
0
0
0
0
0
0
1
0.108696
false
0
0.108696
0.021739
0.478261
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
915d76b7f2fcca50d25cf033042e2f1d7c43e461
14,694
py
Python
nn_dataflow/tests/unit_test/test_network.py
Pingziwalk/nn_dataflow
5ae8eeba4e243df6e9a69127073513a852a62d17
[ "BSD-3-Clause" ]
170
2017-02-28T01:33:11.000Z
2022-03-12T09:56:47.000Z
nn_dataflow/tests/unit_test/test_network.py
Pingziwalk/nn_dataflow
5ae8eeba4e243df6e9a69127073513a852a62d17
[ "BSD-3-Clause" ]
24
2017-09-18T20:14:51.000Z
2022-01-23T06:43:28.000Z
nn_dataflow/tests/unit_test/test_network.py
Pingziwalk/nn_dataflow
5ae8eeba4e243df6e9a69127073513a852a62d17
[ "BSD-3-Clause" ]
71
2017-02-07T17:36:17.000Z
2022-03-26T00:45:00.000Z
""" $lic$ Copyright (C) 2016-2020 by Tsinghua University and The Board of Trustees of Stanford University This program is free software: you can redistribute it and/or modify it under the terms of the Modified BSD-3 License as published by the Open Source Initiative. This program is distributed in the hope that it wi...
38.365535
79
0.598884
1,793
14,694
4.815393
0.104852
0.143966
0.063238
0.031619
0.690294
0.555594
0.485986
0.452861
0.35754
0.329743
0
0.054428
0.242276
14,694
382
80
38.465969
0.721035
0.101538
0
0.42126
0
0
0.062774
0
0
0
0
0
0.366142
1
0.133858
false
0
0.011811
0
0.149606
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
915df7659ad33f08dc46ec91edcb67d2d6a2b9af
365
py
Python
apps/division/urls.py
Jingil-Integrated-Management/JIM_backend
f0e7860d57eddaee034531a52ab91d6715d12c18
[ "Apache-2.0" ]
null
null
null
apps/division/urls.py
Jingil-Integrated-Management/JIM_backend
f0e7860d57eddaee034531a52ab91d6715d12c18
[ "Apache-2.0" ]
null
null
null
apps/division/urls.py
Jingil-Integrated-Management/JIM_backend
f0e7860d57eddaee034531a52ab91d6715d12c18
[ "Apache-2.0" ]
null
null
null
from django.urls import path from .views import DivisionListCreateAPIView, DivisionRetrieveUpdateDestroyAPIView, MainDivisionListAPIView urlpatterns = [ path('division/', DivisionListCreateAPIView.as_view()), path('division/<division_pk>', DivisionRetrieveUpdateDestroyAPIView.as_view()), path('division/m...
33.181818
107
0.794521
30
365
9.533333
0.5
0.125874
0.06993
0.125874
0
0
0
0
0
0
0
0
0.09589
365
10
108
36.5
0.866667
0
0
0
0
0
0.123288
0.060274
0
0
0
0
0
1
0
false
0
0.285714
0
0.285714
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
915ff60df252f62c3f259d30deba52d17fbf124c
9,077
py
Python
sympy/solvers/tests/test_pde.py
nashalex/sympy
aec3e6512be46f0558f5dbcf2b4d723496c91649
[ "BSD-3-Clause" ]
8,323
2015-01-02T15:51:43.000Z
2022-03-31T13:13:19.000Z
sympy/solvers/tests/test_pde.py
nashalex/sympy
aec3e6512be46f0558f5dbcf2b4d723496c91649
[ "BSD-3-Clause" ]
15,102
2015-01-01T01:33:17.000Z
2022-03-31T22:53:13.000Z
sympy/solvers/tests/test_pde.py
nashalex/sympy
aec3e6512be46f0558f5dbcf2b4d723496c91649
[ "BSD-3-Clause" ]
4,490
2015-01-01T17:48:07.000Z
2022-03-31T17:24:05.000Z
from sympy import (Derivative as D, Eq, exp, sin, Function, Symbol, symbols, cos, log) from sympy.core import S from sympy.solvers.pde import (pde_separate, pde_separate_add, pde_separate_mul, pdsolve, classify_pde, checkpdesol) from sympy.testing.pytest import raises a, b, c, x, y = symbols('a b c x y') def...
38.299578
84
0.537512
1,794
9,077
2.634894
0.074136
0.041464
0.041252
0.038502
0.660038
0.614132
0.545166
0.471123
0.453353
0.416966
0
0.030389
0.220557
9,077
236
85
38.461864
0.637739
0.036245
0
0.391304
0
0
0.093407
0.080357
0
0
0
0
0.282609
1
0.059783
false
0
0.021739
0
0.081522
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91613dad90fa3ec0c081f265b28f59e30cdfc17e
6,376
py
Python
GCN/GCN.py
EasternJournalist/learn-deep-learning
cc424713ffc57b8a796ebd81354a1b887f9c5092
[ "MIT" ]
6
2021-08-18T03:29:12.000Z
2022-03-22T13:15:35.000Z
GCN/GCN.py
EasternJournalist/learn-deep-learning
cc424713ffc57b8a796ebd81354a1b887f9c5092
[ "MIT" ]
null
null
null
GCN/GCN.py
EasternJournalist/learn-deep-learning
cc424713ffc57b8a796ebd81354a1b887f9c5092
[ "MIT" ]
2
2022-01-06T12:25:02.000Z
2022-03-22T13:15:36.000Z
import torch import torch.nn.functional as F import pandas as pd import numpy as np from torch_geometric.data import Data from torch_geometric.nn import GCNConv, PairNorm from torch_geometric.utils.undirected import to_undirected import random import matplotlib.pyplot as plt data_name = 'citeseer' # 'cora' or 'ci...
44.587413
134
0.674875
932
6,376
4.345494
0.187768
0.041481
0.062222
0.051358
0.377531
0.354815
0.318272
0.276543
0.276543
0.274074
0
0.01186
0.166876
6,376
143
135
44.587413
0.750565
0.015213
0
0.035714
0
0
0.201914
0.024402
0
0
0
0
0
1
0.044643
false
0
0.080357
0.008929
0.169643
0.026786
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9163007875867d67440a283e2e9737b0b98baef2
3,724
py
Python
esg_leipzig_homepage_2015/views.py
ESG-Leipzig/Homepage-2015
6b77451881031dcb640d2e61ce862617d634f9ac
[ "MIT" ]
null
null
null
esg_leipzig_homepage_2015/views.py
ESG-Leipzig/Homepage-2015
6b77451881031dcb640d2e61ce862617d634f9ac
[ "MIT" ]
4
2015-03-31T22:37:09.000Z
2015-10-22T21:37:17.000Z
esg_leipzig_homepage_2015/views.py
ESG-Leipzig/Homepage-2015
6b77451881031dcb640d2e61ce862617d634f9ac
[ "MIT" ]
3
2015-02-03T10:23:24.000Z
2018-04-11T12:29:23.000Z
import datetime import json from django.conf import settings from django.http import Http404 from django.utils import timezone from django.views import generic from .models import Event, FlatPage, News class HomeView(generic.ListView): """ View for the first page called 'Home'. """ context_object_na...
31.559322
78
0.603652
419
3,724
5.186158
0.295943
0.02485
0.038656
0.02347
0.178555
0.133456
0.090198
0.052462
0.052462
0.052462
0
0.004231
0.301826
3,724
117
79
31.82906
0.831538
0.153867
0
0.150685
0
0
0.049949
0.007136
0
0
0
0
0
1
0.082192
false
0
0.09589
0
0.383562
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91632bfaf2e874f47f67ae904c5dae1d1c06cb7a
3,509
py
Python
train.py
ronniechong/tensorflow-trainer
79e58d224ce1e5ae687abee2bfd81deb49bd41dd
[ "MIT" ]
null
null
null
train.py
ronniechong/tensorflow-trainer
79e58d224ce1e5ae687abee2bfd81deb49bd41dd
[ "MIT" ]
6
2021-06-08T21:56:34.000Z
2022-03-12T00:39:34.000Z
train.py
ronniechong/tensorflow-trainer
79e58d224ce1e5ae687abee2bfd81deb49bd41dd
[ "MIT" ]
null
null
null
from dotenv import load_dotenv load_dotenv() from flask import Flask, flash, request, redirect, url_for from flask_ngrok import run_with_ngrok from flask_cors import CORS from werkzeug.utils import secure_filename import tensorflow as tf from tensorflow import keras from tensorflow.keras.applications import vgg16 fro...
29
121
0.654032
478
3,509
4.638075
0.32636
0.035183
0.024808
0.03834
0.331078
0.308525
0.308525
0.291385
0.291385
0.291385
0
0.022159
0.202622
3,509
121
122
29
0.770193
0.065261
0
0.319588
0
0
0.112741
0.013138
0
0
0
0
0
1
0.041237
false
0
0.134021
0.020619
0.268041
0.010309
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91633c0b686a90b166f71428baf166c3cd9fcb51
4,555
py
Python
src/models/train_model.py
sandorfoldi/chess_positions_recognition
b051f5ba066876d54c435d96cf7e339dfc369b3b
[ "FTL" ]
null
null
null
src/models/train_model.py
sandorfoldi/chess_positions_recognition
b051f5ba066876d54c435d96cf7e339dfc369b3b
[ "FTL" ]
null
null
null
src/models/train_model.py
sandorfoldi/chess_positions_recognition
b051f5ba066876d54c435d96cf7e339dfc369b3b
[ "FTL" ]
1
2022-01-08T20:26:08.000Z
2022-01-08T20:26:08.000Z
import random import matplotlib.pyplot as plt import wandb import hydra import torch import torch.utils.data as data_utils from model import ChessPiecePredictor from torch import nn, optim from google.cloud import storage from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datas...
29.967105
100
0.636004
542
4,555
5.130996
0.273063
0.019417
0.01726
0.012226
0.187702
0.152463
0.118662
0.089896
0.035239
0.035239
0
0.011498
0.255324
4,555
151
101
30.165563
0.808373
0.013611
0
0.091743
0
0
0.108289
0.004679
0
0
0
0
0
1
0.009174
false
0
0.110092
0
0.119266
0.06422
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9164b76283b749a665c678ccd635362448fe685d
10,817
py
Python
dfn/tests/test_FractureNetworkThermal.py
richardhaslam/discrete-fracture-network
2a235fdd3aedfb80dbd9f441d07c5713a6d6c74f
[ "MIT" ]
1
2021-06-01T17:38:15.000Z
2021-06-01T17:38:15.000Z
dfn/tests/test_FractureNetworkThermal.py
richardhaslam/discrete-fracture-network
2a235fdd3aedfb80dbd9f441d07c5713a6d6c74f
[ "MIT" ]
null
null
null
dfn/tests/test_FractureNetworkThermal.py
richardhaslam/discrete-fracture-network
2a235fdd3aedfb80dbd9f441d07c5713a6d6c74f
[ "MIT" ]
null
null
null
import copy import unittest import networkx as nx import numpy as np from scipy.special import erf from dfn import Fluid, FractureNetworkThermal class TestFractureNetworkThermal(unittest.TestCase): def __init__(self, *args, **kwargs): super(TestFractureNetworkThermal, self).__init__(*args, **kwargs) ...
38.222615
79
0.547194
1,627
10,817
3.38783
0.119238
0.056604
0.016328
0.026125
0.49746
0.421081
0.393324
0.328374
0.312591
0.297714
0
0.101461
0.303874
10,817
282
80
38.358156
0.630544
0.102894
0
0.209945
0
0
0.013083
0
0
0
0
0
0.099448
1
0.066298
false
0
0.033149
0
0.121547
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91674cee92c414668d806e044c2d5ffc326ce9fc
10,775
py
Python
dataapi/AWS/getawsdata.py
gusamarante/Quantequim
3968d9965e8e2c3b5850f1852b56c485859a9c89
[ "MIT" ]
296
2018-10-19T21:00:53.000Z
2022-03-29T21:50:55.000Z
dataapi/AWS/getawsdata.py
gusamarante/Quantequim
3968d9965e8e2c3b5850f1852b56c485859a9c89
[ "MIT" ]
11
2019-06-18T11:43:35.000Z
2021-11-14T21:39:20.000Z
dataapi/AWS/getawsdata.py
gusamarante/FinanceLab
3968d9965e8e2c3b5850f1852b56c485859a9c89
[ "MIT" ]
102
2018-10-18T14:14:34.000Z
2022-03-06T00:34:53.000Z
""" Author: Gustavo Amarante """ import numpy as np import pandas as pd from datetime import datetime class TrackerFeeder(object): """ Feeder for the trackers of the FinanceHub database. """ def __init__(self, db_connect): """ Feeder construction :param db_connect: sql connec...
35.212418
117
0.604826
1,408
10,775
4.464489
0.169744
0.044543
0.020999
0.030544
0.43923
0.36987
0.328349
0.276487
0.240057
0.189628
0
0.005101
0.290487
10,775
305
118
35.327869
0.817135
0.227749
0
0.344595
0
0
0.132171
0.011372
0
0
0
0
0.081081
1
0.094595
false
0
0.02027
0
0.202703
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9167fe0a7f3eeef9305940bbccf9dcc614aaf736
569
py
Python
assets/utils/config.py
mklew/quickstart-data-lake-qubole
bb9b4a559815fc293b0fa06aa7e536fe14ced6dd
[ "Apache-2.0" ]
null
null
null
assets/utils/config.py
mklew/quickstart-data-lake-qubole
bb9b4a559815fc293b0fa06aa7e536fe14ced6dd
[ "Apache-2.0" ]
null
null
null
assets/utils/config.py
mklew/quickstart-data-lake-qubole
bb9b4a559815fc293b0fa06aa7e536fe14ced6dd
[ "Apache-2.0" ]
null
null
null
from configparser import ConfigParser CONFIG_INT_KEYS = { 'hadoop_max_nodes_count', 'hadoop_ebs_volumes_count', 'hadoop_ebs_volume_size', 'spark_max_nodes_count', 'spark_ebs_volumes_count', 'spark_ebs_volume_size' } def read_config(config_path): parser = ConfigParser() parser.read(con...
27.095238
101
0.72232
75
569
5.066667
0.386667
0.071053
0.068421
0
0
0
0
0
0
0
0
0
0.193322
569
20
102
28.45
0.827887
0
0
0
0
0
0.233743
0.233743
0
0
0
0
0
1
0.058824
false
0
0.058824
0
0.176471
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
916aaa2f9132fad05b66933ca386d50c7aed073b
6,083
py
Python
project/starter_code/student_utils.py
nihaagarwalla/nd320-c1-emr-data-starter
6ce6bb65e89b38f1c2119a739b892ad2504adf7d
[ "MIT" ]
null
null
null
project/starter_code/student_utils.py
nihaagarwalla/nd320-c1-emr-data-starter
6ce6bb65e89b38f1c2119a739b892ad2504adf7d
[ "MIT" ]
null
null
null
project/starter_code/student_utils.py
nihaagarwalla/nd320-c1-emr-data-starter
6ce6bb65e89b38f1c2119a739b892ad2504adf7d
[ "MIT" ]
null
null
null
import pandas as pd import numpy as np import os import tensorflow as tf import functools ####### STUDENTS FILL THIS OUT ###### #Question 3 def reduce_dimension_ndc(df, ndc_df): ''' df: pandas dataframe, input dataset ndc_df: pandas dataframe, drug code dataset used for mapping in generic names return:...
40.553333
158
0.706395
848
6,083
4.840802
0.245283
0.035323
0.040195
0.054811
0.325213
0.27162
0.231181
0.197077
0.181486
0.173447
0
0.005239
0.18412
6,083
149
159
40.825503
0.821882
0.444518
0
0
0
0
0.115149
0
0
0
0
0
0
1
0.153846
false
0
0.096154
0
0.403846
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
916ad498f5f7937a47cd76bb93a7df7cec38d72f
5,354
py
Python
core_tools/utility/plotting/plot_1D.py
peendebak/core_tools
2e43edf0bbc1d7ceb7042559db499535e8f6a076
[ "BSD-2-Clause" ]
null
null
null
core_tools/utility/plotting/plot_1D.py
peendebak/core_tools
2e43edf0bbc1d7ceb7042559db499535e8f6a076
[ "BSD-2-Clause" ]
null
null
null
core_tools/utility/plotting/plot_1D.py
peendebak/core_tools
2e43edf0bbc1d7ceb7042559db499535e8f6a076
[ "BSD-2-Clause" ]
null
null
null
import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np import copy from core_tools.utility.plotting.plot_settings import plot_layout, graph_settings_1D, _1D_raw_plot_data from core_tools.utility.plotting.plot_general import _data_plotter class plotter_1D(_data_plotter): def __init__(self, plt_la...
31.309942
111
0.686216
972
5,354
3.587449
0.156379
0.068827
0.055062
0.064239
0.440206
0.429596
0.368225
0.320333
0.229137
0.215945
0
0.054048
0.139522
5,354
171
112
31.309942
0.702844
0.030071
0
0.107438
0
0
0.070754
0
0
0
0
0.005848
0
1
0.049587
false
0.008264
0.057851
0
0.123967
0.008264
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
916bb212bcbe679ba4c75cb54521ee006fb78140
5,110
py
Python
v0.3/achat.py
Forec/lan-ichat
f2ae85ef6a8f2b30126be787e52785971c926d8c
[ "0BSD" ]
63
2016-10-25T06:05:29.000Z
2021-06-11T01:13:30.000Z
v0.3/achat.py
yyfhust/lan-ichat
f2ae85ef6a8f2b30126be787e52785971c926d8c
[ "0BSD" ]
1
2018-10-16T10:06:19.000Z
2018-10-16T10:06:19.000Z
v0.3/achat.py
yyfhust/lan-ichat
f2ae85ef6a8f2b30126be787e52785971c926d8c
[ "0BSD" ]
55
2016-10-25T06:05:33.000Z
2021-12-10T04:58:57.000Z
# last edit date: 2016/11/2 # author: Forec # LICENSE # Copyright (c) 2015-2017, Forec <forec@bupt.edu.cn> # Permission to use, copy, modify, and/or distribute this code for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. ...
34.066667
77
0.541292
574
5,110
4.722997
0.329268
0.044264
0.019919
0.023608
0.451494
0.432313
0.392475
0.392475
0.392475
0.357064
0
0.016184
0.371233
5,110
150
78
34.066667
0.827575
0.154599
0
0.6
0
0
0.046447
0
0
0
0
0
0
1
0.046154
false
0.030769
0.076923
0
0.153846
0.038462
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
916e1ddff0241cef174fcd4e5ccac0206688c76b
636
py
Python
initcmds/models.py
alldevic/mtauksync
1a5d325ca8a7878aba5b292d7835546b24bb554c
[ "MIT" ]
null
null
null
initcmds/models.py
alldevic/mtauksync
1a5d325ca8a7878aba5b292d7835546b24bb554c
[ "MIT" ]
null
null
null
initcmds/models.py
alldevic/mtauksync
1a5d325ca8a7878aba5b292d7835546b24bb554c
[ "MIT" ]
null
null
null
from django.db import models TASK_STATUS = ( ("c", "created"), ("p", "progress"), ("s", "success"), ("f", "failed") ) class TaskModel(models.Model): lastrunned = models.DateTimeField( "lastrunned", auto_now=False, auto_now_add=False) taskname = models.CharField("taskname", max_lengt...
27.652174
77
0.636792
75
636
5.213333
0.626667
0.051151
0
0
0
0
0
0
0
0
0
0.005952
0.207547
636
22
78
28.909091
0.769841
0
0
0
0
0
0.16195
0
0
0
0
0
0
1
0.055556
false
0
0.055556
0.055556
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
916fbb01e62cdbb436021c5d032e0ff8b5532255
3,171
py
Python
src/Data.py
jhlee93/WNet-cGAN-Keras
89666be91083735c3259e04907bbfbe1c89fc8f8
[ "MIT" ]
7
2019-07-09T15:16:52.000Z
2021-05-13T14:14:48.000Z
src/Data.py
jhlee93/WNet-cGAN-Keras
89666be91083735c3259e04907bbfbe1c89fc8f8
[ "MIT" ]
4
2019-07-24T13:35:11.000Z
2021-04-20T07:59:49.000Z
src/Data.py
jhlee93/WNet-cGAN-Keras
89666be91083735c3259e04907bbfbe1c89fc8f8
[ "MIT" ]
1
2021-12-16T13:19:13.000Z
2021-12-16T13:19:13.000Z
import glob import numpy as np class Data: def __init__(self, path, random=False): """ input: path: path to the folder with subfolders: DSM, PAN, LABEL max_num: int, num of samples random: bool, to load samples randomly or from 0 to num_max ...
44.661972
198
0.571429
495
3,171
3.50303
0.191919
0.051903
0.025952
0.036332
0.339677
0.306805
0.214533
0.153979
0.153979
0.130911
0
0.010662
0.290129
3,171
70
199
45.3
0.759662
0.082308
0
0.085106
0
0
0.067367
0
0
0
0
0
0
1
0.06383
false
0
0.042553
0
0.191489
0.06383
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
917058eae76c95edb3644d77520d9eb1f3e8a1e9
8,908
py
Python
liberaforms/views/admin.py
ngi-nix/liberaforms
5882994736292e7ab34c4c9207805b307478a6c7
[ "MIT" ]
3
2021-09-02T16:45:42.000Z
2022-02-21T19:06:25.000Z
liberaforms/views/admin.py
ngi-nix/liberaforms
5882994736292e7ab34c4c9207805b307478a6c7
[ "MIT" ]
2
2021-08-17T04:13:10.000Z
2021-09-14T22:48:21.000Z
liberaforms/views/admin.py
ngi-nix/liberaforms
5882994736292e7ab34c4c9207805b307478a6c7
[ "MIT" ]
1
2021-08-17T07:13:15.000Z
2021-08-17T07:13:15.000Z
""" This file is part of LiberaForms. # SPDX-FileCopyrightText: 2020 LiberaForms.org # SPDX-License-Identifier: AGPL-3.0-or-later """ import os, json from flask import g, request, render_template, redirect from flask import session, flash, Blueprint from flask import send_file, after_this_request from flask_babel imp...
36.064777
84
0.635608
1,088
8,908
4.993566
0.153493
0.032211
0.03534
0.050064
0.441377
0.351555
0.283821
0.242039
0.207436
0.147985
0
0.001176
0.236529
8,908
246
85
36.211382
0.797677
0.03132
0
0.270833
0
0
0.182428
0.049464
0
0
0
0
0
1
0.088542
false
0
0.078125
0.03125
0.322917
0.015625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91705feef5320bb231c5d61b510ee6321361c934
29,405
py
Python
python/zephyr/datasets/score_dataset.py
r-pad/zephyr
c8f45e207c11bfc2b21df169db65a7df892d2848
[ "MIT" ]
18
2021-05-27T04:40:38.000Z
2022-02-08T19:46:31.000Z
python/zephyr/datasets/score_dataset.py
r-pad/zephyr
c8f45e207c11bfc2b21df169db65a7df892d2848
[ "MIT" ]
null
null
null
python/zephyr/datasets/score_dataset.py
r-pad/zephyr
c8f45e207c11bfc2b21df169db65a7df892d2848
[ "MIT" ]
2
2021-11-07T12:42:00.000Z
2022-03-01T12:51:54.000Z
import os, copy import cv2 from functools import partial import numpy as np import torch import torchvision from torch.utils.data import Dataset from zephyr.data_util import to_np, vectorize, img2uint8 from zephyr.utils import torch_norm_fast from zephyr.utils.mask_edge import getRendEdgeScore from zephyr...
44.218045
167
0.534875
3,604
29,405
4.122087
0.107658
0.017905
0.015751
0.018309
0.349825
0.287964
0.238018
0.186457
0.1458
0.132337
0
0.018448
0.347424
29,405
664
168
44.284639
0.755745
0.067948
0
0.168357
0
0
0.054035
0.001689
0
0
0
0
0.008114
1
0.016227
false
0.002028
0.036511
0.002028
0.070994
0.022312
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91762cf01e789ac760eedf4942c7a866b5214252
632
py
Python
src/lingcomp/farm/features.py
CharlottePouw/interpreting-complexity
b9a73c0aff18e4c6b4209a6511d00639494c70da
[ "Apache-2.0" ]
2
2020-12-18T12:26:22.000Z
2020-12-19T18:47:07.000Z
src/lingcomp/farm/features.py
CharlottePouw/interpreting-complexity
b9a73c0aff18e4c6b4209a6511d00639494c70da
[ "Apache-2.0" ]
null
null
null
src/lingcomp/farm/features.py
CharlottePouw/interpreting-complexity
b9a73c0aff18e4c6b4209a6511d00639494c70da
[ "Apache-2.0" ]
1
2021-05-19T13:39:45.000Z
2021-05-19T13:39:45.000Z
import torch from farm.data_handler.samples import Sample from farm.modeling.prediction_head import RegressionHead class FeaturesEmbeddingSample(Sample): def __init__(self, id, clear_text, tokenized=None, features=None, feat_embeds=None): super().__init__(id, clear_text, tokenized, features) self....
31.6
88
0.724684
77
632
5.74026
0.584416
0.036199
0.049774
0.090498
0
0
0
0
0
0
0
0.001934
0.181962
632
19
89
33.263158
0.852998
0.129747
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.25
0
0.666667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9176ff87702ba5b114dba78865e902b3d3390b83
2,259
py
Python
dashboard/dashboard.py
TrustyJAID/Toxic-Cogs
870d92067ba2a99b9ade2f957f945b95fdbc80f7
[ "MIT" ]
null
null
null
dashboard/dashboard.py
TrustyJAID/Toxic-Cogs
870d92067ba2a99b9ade2f957f945b95fdbc80f7
[ "MIT" ]
null
null
null
dashboard/dashboard.py
TrustyJAID/Toxic-Cogs
870d92067ba2a99b9ade2f957f945b95fdbc80f7
[ "MIT" ]
null
null
null
from collections import defaultdict import discord from redbot.core import Config, checks, commands from redbot.core.bot import Red from redbot.core.utils.chat_formatting import box, humanize_list, inline from abc import ABC # ABC Mixins from dashboard.abc.abc import MixinMeta from dashboard.abc.mixin impor...
30.945205
110
0.657371
248
2,259
5.895161
0.516129
0.062244
0.05472
0.030096
0
0
0
0
0
0
0
0.019197
0.239044
2,259
72
111
31.375
0.831297
0.107127
0
0
0
0
0.057453
0
0
0
0
0
0
1
0.06
false
0
0.26
0.02
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91773a1b99193243fe941616b2fc5339f203eb98
410
py
Python
algorithms/162.Find-Peak-Element/Python/solution_2.py
hopeness/leetcode
496455fa967f0704d729b4014f92f52b1d69d690
[ "MIT" ]
null
null
null
algorithms/162.Find-Peak-Element/Python/solution_2.py
hopeness/leetcode
496455fa967f0704d729b4014f92f52b1d69d690
[ "MIT" ]
null
null
null
algorithms/162.Find-Peak-Element/Python/solution_2.py
hopeness/leetcode
496455fa967f0704d729b4014f92f52b1d69d690
[ "MIT" ]
null
null
null
""" https://leetcode.com/problems/find-peak-element/submissions/ """ from typing import List class Solution: def findPeakElement(self, nums: List[int]) -> int: l, r = 0, len(nums)-1 while l < r: lmid = (l + r) // 2 rmid = lmid + 1 if nums[lmid] < nums[rmid]: ...
22.777778
60
0.473171
51
410
3.803922
0.607843
0.030928
0
0
0
0
0
0
0
0
0
0.024292
0.397561
410
17
61
24.117647
0.761134
0.146341
0
0
0
0
0
0
0
0
0
0
0
1
0.083333
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
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9177bf15b6da687a6ae646c46fc3addf65d8004a
2,684
py
Python
data_loader.py
vinbigdata-medical/MIDL2021-Xray-Classification
51359126d07573053059c36e3cd95a7fd7100e0e
[ "MIT" ]
4
2021-04-14T08:04:08.000Z
2021-08-10T10:15:00.000Z
data_loader.py
vinbigdata-medical/MIDL2021-Xray-Classification
51359126d07573053059c36e3cd95a7fd7100e0e
[ "MIT" ]
1
2022-01-13T12:51:31.000Z
2022-01-13T12:51:31.000Z
data_loader.py
vinbigdata-medical/MIDL2021-Xray-Classification
51359126d07573053059c36e3cd95a7fd7100e0e
[ "MIT" ]
null
null
null
from torchvision.datasets import ImageFolder from torchvision import transforms import random import os import torch from torch.utils.data.dataloader import DataLoader from utils import constants, get_default_device from image_folder_with_path import ImageFolderWithPaths def to_device(data, device): """Move tensor...
37.277778
118
0.770492
351
2,684
5.663818
0.287749
0.045775
0.059859
0.091549
0.372233
0.372233
0.248491
0.248491
0.248491
0.191147
0
0.008651
0.138599
2,684
72
119
37.277778
0.851211
0.175857
0
0.139535
0
0
0
0
0
0
0
0
0
1
0.093023
false
0
0.186047
0
0.372093
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9177c031d705388dfe8031bad5b727ad1032aa9e
4,254
py
Python
calliope/test/test_analysis.py
sjpfenninger/calliope
a4e49c3b7d37f908bafc84543510eec0b4cf5d9f
[ "Apache-2.0" ]
1
2019-11-11T15:50:16.000Z
2019-11-11T15:50:16.000Z
calliope/test/test_analysis.py
mhdella/calliope
a4e49c3b7d37f908bafc84543510eec0b4cf5d9f
[ "Apache-2.0" ]
null
null
null
calliope/test/test_analysis.py
mhdella/calliope
a4e49c3b7d37f908bafc84543510eec0b4cf5d9f
[ "Apache-2.0" ]
1
2019-11-11T15:50:18.000Z
2019-11-11T15:50:18.000Z
# import matplotlib # matplotlib.use('Qt5Agg') # Prevents `Invalid DISPLAY variable` errors import pytest import tempfile from calliope import Model from calliope.utils import AttrDict from calliope import analysis from . import common from .common import assert_almost_equal, solver, solver_io import matplotlib.p...
36.672414
99
0.603197
485
4,254
5.103093
0.305155
0.06303
0.041212
0.027475
0.40404
0.270707
0.245657
0.217374
0.217374
0.217374
0
0.018945
0.305125
4,254
115
100
36.991304
0.818336
0.132581
0
0.166667
0
0
0.211214
0.011976
0
0
0
0.008696
0.095238
1
0.142857
false
0
0.095238
0
0.27381
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
917a93c6b5689f031c6779f12176c0d60e186575
13,198
py
Python
cinder/tests/unit/targets/test_spdknvmf.py
lightsey/cinder
e03d68e42e57a63f8d0f3e177fb4287290612b24
[ "Apache-2.0" ]
3
2015-04-02T21:44:36.000Z
2016-04-29T21:19:04.000Z
cinder/tests/unit/targets/test_spdknvmf.py
lightsey/cinder
e03d68e42e57a63f8d0f3e177fb4287290612b24
[ "Apache-2.0" ]
3
2016-04-29T21:45:26.000Z
2016-05-04T19:41:23.000Z
cinder/tests/unit/targets/test_spdknvmf.py
lightsey/cinder
e03d68e42e57a63f8d0f3e177fb4287290612b24
[ "Apache-2.0" ]
4
2016-01-27T00:25:52.000Z
2021-03-25T19:54:08.000Z
# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # d...
32.268949
78
0.539855
1,342
13,198
5.076006
0.195976
0.051527
0.020992
0.027452
0.4931
0.430123
0.412214
0.391368
0.381092
0.361568
0
0.057786
0.329974
13,198
408
79
32.348039
0.712541
0.04137
0
0.451253
0
0
0.233758
0.048113
0
0
0.000475
0
0.022284
1
0.050139
false
0.002786
0.016713
0.002786
0.111421
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
917afbcd55aefac0dcfd4785b8010a4e43b0d1c3
4,204
py
Python
server/algos/euler/transformer.py
yizhang7210/Acre
c98cf8a4fdfb223a1958e8e61df759f889a1b13f
[ "MIT" ]
2
2017-11-27T21:55:21.000Z
2017-12-30T03:34:40.000Z
server/algos/euler/transformer.py
yizhang7210/Acre
c98cf8a4fdfb223a1958e8e61df759f889a1b13f
[ "MIT" ]
30
2017-09-06T12:00:08.000Z
2018-06-20T22:47:46.000Z
server/algos/euler/transformer.py
yizhang7210/Acre
c98cf8a4fdfb223a1958e8e61df759f889a1b13f
[ "MIT" ]
1
2021-04-05T13:59:37.000Z
2021-04-05T13:59:37.000Z
""" This is algos.euler.transformer module. This module is responsible for transforming raw candle data into training samples usable to the Euler algorithm. """ import datetime import decimal from algos.euler.models import training_samples as ts from core.models import instruments from datasource.models import...
35.033333
80
0.674833
553
4,204
4.943942
0.251356
0.075713
0.030724
0.018654
0.17959
0.148135
0.148135
0.148135
0.087783
0.046086
0
0.005411
0.252617
4,204
119
81
35.327731
0.864736
0.41746
0
0.04
0
0
0.006548
0
0
0
0
0
0
1
0.1
false
0
0.1
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
0
0
0
0
0
0
1
0
917d24af3dd098f693a886046f82e8514c7bd83a
2,628
py
Python
CEST/Evaluation/lorenzian.py
ludgerradke/bMRI
dcf93749bb2fba3700e6bcfde691355d55090951
[ "MIT" ]
null
null
null
CEST/Evaluation/lorenzian.py
ludgerradke/bMRI
dcf93749bb2fba3700e6bcfde691355d55090951
[ "MIT" ]
null
null
null
CEST/Evaluation/lorenzian.py
ludgerradke/bMRI
dcf93749bb2fba3700e6bcfde691355d55090951
[ "MIT" ]
null
null
null
import numpy as np import math from scipy.optimize import curve_fit def calc_lorentzian(CestCurveS, x_calcentires, mask, config): (rows, colums, z_slices, entires) = CestCurveS.shape lorenzian = {key: np.zeros((rows, colums, z_slices), dtype=float) for key in config.lorenzian_keys} for k in range(z_slice...
45.310345
117
0.459665
324
2,628
3.530864
0.287037
0.020979
0.028846
0.034965
0.189685
0.081294
0.034091
0.034091
0.034091
0.034091
0
0.057516
0.417808
2,628
57
118
46.105263
0.690196
0.060122
0
0
0
0
0.029197
0
0
0
0
0
0
1
0.088889
false
0.022222
0.066667
0.022222
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
917ddc860e3cb5987c6d77cf2eda4923d9234d7a
7,572
py
Python
components/network_models_LSTU.py
neuralchen/CooGAN
3155cbb5a283226474356d3a9f01918609ddd4ec
[ "MIT" ]
12
2020-12-09T07:04:12.000Z
2022-03-01T03:30:46.000Z
components/network_models_LSTU.py
neuralchen/CooGAN
3155cbb5a283226474356d3a9f01918609ddd4ec
[ "MIT" ]
null
null
null
components/network_models_LSTU.py
neuralchen/CooGAN
3155cbb5a283226474356d3a9f01918609ddd4ec
[ "MIT" ]
4
2020-12-23T03:57:53.000Z
2022-03-28T13:56:14.000Z
#!/usr/bin/env python3 # -*- coding:utf-8 -*- ############################################################# # File: network_models_LSTU.py # Created Date: Tuesday February 25th 2020 # Author: Chen Xuanhong # Email: chenxuanhongzju@outlook.com # Last Modified: Tuesday, 25th February 2020 9:57:06 pm # Modified By: Chen ...
39.233161
118
0.58822
1,119
7,572
3.748883
0.186774
0.026698
0.013349
0.01907
0.366865
0.325387
0.29702
0.257926
0.20739
0.189273
0
0.026734
0.268885
7,572
192
119
39.4375
0.731033
0.148838
0
0.25
0
0
0.012863
0
0
0
0
0
0
1
0.064286
false
0.035714
0.05
0
0.192857
0.007143
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9181932ab3632366f38b401fcbe5e47425259914
6,809
py
Python
test/functional/bchn-txbroadcastinterval.py
1Crazymoney/bitcoin-cash-node
8f82823b3c5d4bcb401b0e4e6b464c1228f936e1
[ "MIT" ]
1
2021-11-24T03:54:05.000Z
2021-11-24T03:54:05.000Z
test/functional/bchn-txbroadcastinterval.py
1Crazymoney/bitcoin-cash-node
8f82823b3c5d4bcb401b0e4e6b464c1228f936e1
[ "MIT" ]
null
null
null
test/functional/bchn-txbroadcastinterval.py
1Crazymoney/bitcoin-cash-node
8f82823b3c5d4bcb401b0e4e6b464c1228f936e1
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # Copyright (c) 2020 The Bitcoin Cash Node developers # Author matricz # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """ Test that inv messages are sent according to an exponential distribution with scale -...
46.958621
110
0.679101
800
6,809
5.70625
0.34125
0.045783
0.050602
0.035487
0.147207
0.147207
0.132749
0.121796
0.121796
0.121796
0
0.020995
0.223528
6,809
144
111
47.284722
0.842444
0.321339
0
0.121951
0
0
0.143231
0.051747
0
0
0
0
0.036585
1
0.085366
false
0
0.060976
0
0.170732
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9183b4d3330e5dc6c4da3188d85901cf1703c4d4
3,178
py
Python
plugins/voila/voila/__init__.py
srinivasreddych/aws-orbit-workbench
2d154addff58d26f5459a73c06148aaf5e9fad46
[ "Apache-2.0" ]
94
2021-03-19T19:55:11.000Z
2022-03-31T19:50:01.000Z
plugins/voila/voila/__init__.py
srinivasreddych/aws-orbit-workbench
2d154addff58d26f5459a73c06148aaf5e9fad46
[ "Apache-2.0" ]
410
2021-03-19T18:04:48.000Z
2022-03-22T13:56:53.000Z
plugins/voila/voila/__init__.py
srinivasreddych/aws-orbit-workbench
2d154addff58d26f5459a73c06148aaf5e9fad46
[ "Apache-2.0" ]
24
2021-03-19T23:16:23.000Z
2022-03-04T01:05:18.000Z
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). # You may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unl...
37.833333
116
0.701385
425
3,178
5.04
0.36
0.071895
0.056022
0.029412
0.170868
0.118581
0.096172
0.076564
0.076564
0.076564
0
0.002746
0.197923
3,178
83
117
38.289157
0.837583
0.193518
0
0.163934
0
0
0.131083
0.034144
0
0
0
0
0
1
0.032787
false
0
0.114754
0
0.147541
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91848acd7c9a76b40212893d24a66f1267e0b221
4,316
py
Python
tools/generate_driver_list.py
aarunsai81/netapp
8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba
[ "Apache-2.0" ]
11
2015-08-25T13:11:18.000Z
2020-10-15T11:29:20.000Z
tools/generate_driver_list.py
aarunsai81/netapp
8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba
[ "Apache-2.0" ]
5
2018-01-25T11:31:56.000Z
2019-05-06T23:13:35.000Z
tools/generate_driver_list.py
aarunsai81/netapp
8f0f7bf9be7f4d9fb9c3846bfc639c90a05f86ba
[ "Apache-2.0" ]
11
2015-02-20T18:48:24.000Z
2021-01-30T20:26:18.000Z
#! /usr/bin/env python # # 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...
30.609929
78
0.621177
550
4,316
4.690909
0.345455
0.063953
0.048837
0.029457
0.143798
0.087209
0.066279
0
0
0
0
0.001225
0.243281
4,316
140
79
30.828571
0.788732
0.202271
0
0.069767
0
0
0.137295
0.026932
0
0
0
0
0
1
0.116279
false
0
0.046512
0.011628
0.197674
0.081395
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9186f6c899c8a19e537fae60a274b21c711b183a
7,649
py
Python
demos/odyssey/dodyssey.py
steingabelgaard/reportlab
b9a537e8386fb4b4b80e9ec89e0cdf392dbd6f61
[ "BSD-3-Clause" ]
55
2019-09-21T02:45:18.000Z
2021-12-10T13:38:51.000Z
demos/odyssey/dodyssey.py
cnauroth/reportlab
377d4ff58491dc6de48551e730c3d7f72db783e5
[ "BSD-3-Clause" ]
4
2019-09-26T03:16:50.000Z
2021-12-10T13:40:49.000Z
demos/odyssey/dodyssey.py
cnauroth/reportlab
377d4ff58491dc6de48551e730c3d7f72db783e5
[ "BSD-3-Clause" ]
26
2019-09-25T03:54:30.000Z
2022-03-21T14:03:12.000Z
#Copyright ReportLab Europe Ltd. 2000-2017 #see license.txt for license details __version__='3.3.0' __doc__='' #REPORTLAB_TEST_SCRIPT import sys, copy, os from reportlab.platypus import * _NEW_PARA=os.environ.get('NEW_PARA','0')[0] in ('y','Y','1') _REDCAP=int(os.environ.get('REDCAP','0')) _CALLBACK=os.environ.get('CA...
31.093496
104
0.587397
1,060
7,649
4.195283
0.248113
0.03463
0.010119
0.006746
0.204183
0.117158
0.07848
0.061839
0.061839
0.037104
0
0.024272
0.245915
7,649
245
105
31.220408
0.746706
0.023532
0
0.211823
0
0
0.126759
0.009782
0
0
0
0
0
1
0.083744
false
0
0.054187
0
0.147783
0.049261
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9187649de93ea28a41bff761a58a3a5d39922848
764
py
Python
tests/test_fred_fred_view.py
Traceabl3/GamestonkTerminal
922353cade542ce3f62701e10d816852805b9386
[ "MIT" ]
null
null
null
tests/test_fred_fred_view.py
Traceabl3/GamestonkTerminal
922353cade542ce3f62701e10d816852805b9386
[ "MIT" ]
null
null
null
tests/test_fred_fred_view.py
Traceabl3/GamestonkTerminal
922353cade542ce3f62701e10d816852805b9386
[ "MIT" ]
null
null
null
""" econ/fred_view.py tests """ import unittest from unittest import mock from io import StringIO import pandas as pd # pylint: disable=unused-import from gamestonk_terminal.econ.fred_view import get_fred_data # noqa: F401 fred_data_mock = """ ,GDP 2019-01-01,21115.309 2019-04-01,21329.877 2019-07-01,21540.325 2019-...
24.645161
80
0.747382
128
764
4.257813
0.492188
0.102752
0.066055
0.091743
0.106422
0
0
0
0
0
0
0.199102
0.125654
764
30
81
25.466667
0.616766
0.086387
0
0
0
0
0.33913
0.071014
0
0
0
0
0
1
0.045455
false
0
0.227273
0
0.318182
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9187b814b570a612e2b93ab230ce46d039efd3f1
4,974
py
Python
lecarb/estimator/lw/lw_tree.py
anshumandutt/AreCELearnedYet
e2286c3621dea8e4961057b6197c1e14e75aea5a
[ "MIT" ]
34
2020-12-14T01:21:29.000Z
2022-03-29T04:52:46.000Z
lecarb/estimator/lw/lw_tree.py
anshumandutt/AreCELearnedYet
e2286c3621dea8e4961057b6197c1e14e75aea5a
[ "MIT" ]
5
2020-12-28T16:06:22.000Z
2022-01-19T18:28:53.000Z
lecarb/estimator/lw/lw_tree.py
anshumandutt/AreCELearnedYet
e2286c3621dea8e4961057b6197c1e14e75aea5a
[ "MIT" ]
12
2021-02-08T17:50:13.000Z
2022-03-28T11:09:06.000Z
import time import logging from typing import Dict, Any, Tuple import pickle import numpy as np import xgboost as xgb from .common import load_lw_dataset, encode_query, decode_label from ..postgres import Postgres from ..estimator import Estimator from ..utils import evaluate, run_test from ...dataset.dataset import ...
34.783217
130
0.65963
696
4,974
4.518678
0.242816
0.015898
0.01717
0.026709
0.231797
0.201908
0.133545
0.103657
0.081399
0.081399
0
0.007366
0.208484
4,974
142
131
35.028169
0.791466
0.06916
0
0.137255
0
0.019608
0.14208
0.032855
0
0
0
0
0
1
0.068627
false
0
0.127451
0
0.245098
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9187ef6ed78f1f18095fecd6ea3ce015376d4dfc
2,525
py
Python
fsim/utils.py
yamasampo/fsim
30100789b03981dd9ea11c5c2e17a3c53910f724
[ "MIT" ]
null
null
null
fsim/utils.py
yamasampo/fsim
30100789b03981dd9ea11c5c2e17a3c53910f724
[ "MIT" ]
null
null
null
fsim/utils.py
yamasampo/fsim
30100789b03981dd9ea11c5c2e17a3c53910f724
[ "MIT" ]
null
null
null
import os import configparser from warnings import warn def read_control_file(control_file): # Initialize ConfigParser object config = configparser.ConfigParser( strict=True, comment_prefixes=('/*', ';', '#'), inline_comment_prefixes=('/*', ';', '#') ) # Parse control file ...
32.371795
98
0.613861
325
2,525
4.593846
0.369231
0.073677
0.026792
0.029471
0.045546
0.045546
0.045546
0
0
0
0
0.003231
0.264554
2,525
77
99
32.792208
0.800754
0.100198
0
0
0
0
0.253221
0.013772
0
0
0
0
0.017857
1
0.053571
false
0
0.053571
0
0.125
0.035714
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
918946b8867e4746cc6439a71e8ab2ad6d7dc6a7
2,950
py
Python
src/pymortests/function.py
mahgadalla/pymor
ee2806b4c93748e716294c42454d611415da7b5e
[ "Unlicense" ]
1
2021-07-26T12:58:50.000Z
2021-07-26T12:58:50.000Z
src/pymortests/function.py
mahgadalla/pymor
ee2806b4c93748e716294c42454d611415da7b5e
[ "Unlicense" ]
null
null
null
src/pymortests/function.py
mahgadalla/pymor
ee2806b4c93748e716294c42454d611415da7b5e
[ "Unlicense" ]
null
null
null
# This file is part of the pyMOR project (http://www.pymor.org). # Copyright 2013-2017 pyMOR developers and contributors. All rights reserved. # License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause) import numpy as np import pytest from pymor.core.pickle import dumps, loads from pymor.functions....
38.815789
108
0.671186
410
2,950
4.697561
0.297561
0.037383
0.050883
0.047767
0.275182
0.188474
0.141225
0.106957
0.066459
0
0
0.029055
0.218305
2,950
75
109
39.333333
0.806158
0.146102
0
0.096154
0
0
0
0
0
0
0
0
0.288462
1
0.115385
false
0
0.134615
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
918a293306bf241e1a965c6b6c86f2b524157237
4,603
py
Python
Code/userIDCrawler.py
CarberZ/social-media-mining
41aee64a41244a0692987b75b30dedbd0552be49
[ "MIT" ]
2
2018-10-16T23:09:00.000Z
2018-11-14T04:08:00.000Z
Code/userIDCrawler.py
CarberZ/social-media-mining
41aee64a41244a0692987b75b30dedbd0552be49
[ "MIT" ]
1
2018-11-14T04:06:13.000Z
2018-11-14T04:15:56.000Z
Code/userIDCrawler.py
CarberZ/social-media-mining
41aee64a41244a0692987b75b30dedbd0552be49
[ "MIT" ]
1
2018-11-14T04:06:31.000Z
2018-11-14T04:06:31.000Z
''' step 1 get the userID and their locations put them all into a database ''' from bs4 import BeautifulSoup import urllib import sqlite3 from selenium import webdriver import time import re from urllib import request import random import pickle import os import pytesseract url_dog = "http...
30.483444
138
0.550728
497
4,603
5.070423
0.374245
0.036111
0.047619
0.020238
0.184127
0.12619
0.103968
0.029365
0
0
0
0.027653
0.324354
4,603
150
139
30.686667
0.782637
0.13274
0
0.072289
0
0.012048
0.167916
0.020816
0
0
0
0
0
1
0.036145
false
0
0.13253
0
0.253012
0.012048
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
918a81c6af8725a4b95ff16551cc06a18c633a21
709
py
Python
tbase/network/polices_test.py
iminders/TradeBaselines
26eb87f2bcd5f6ff479149219b38b17002be6a40
[ "MIT" ]
16
2020-03-19T15:12:28.000Z
2021-12-20T06:02:32.000Z
tbase/network/polices_test.py
iminders/TradeBaselines
26eb87f2bcd5f6ff479149219b38b17002be6a40
[ "MIT" ]
14
2020-03-23T03:57:00.000Z
2021-12-20T05:53:33.000Z
tbase/network/polices_test.py
iminders/TradeBaselines
26eb87f2bcd5f6ff479149219b38b17002be6a40
[ "MIT" ]
7
2020-03-25T00:30:18.000Z
2021-01-31T18:45:09.000Z
import unittest import numpy as np from tbase.common.cmd_util import set_global_seeds from tbase.network.polices import RandomPolicy class TestPolices(unittest.TestCase): @classmethod def setUpClass(self): set_global_seeds(0) def test_random_policy(self): policy = RandomPolicy(2) ...
25.321429
65
0.671368
84
709
5.464286
0.5
0.039216
0.061002
0.104575
0.352941
0.352941
0.352941
0.352941
0
0
0
0.076087
0.221439
709
27
66
26.259259
0.755435
0.023977
0
0.222222
0
0
0.011611
0
0
0
0
0
0.111111
1
0.111111
false
0
0.222222
0
0.388889
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
918a8725328fa6920f55c21e0bb7c5f7406c3135
36,887
py
Python
keystone/tests/unit/core.py
knikolla/keystone
50f0a50cf4d52d3f61b64713bd4faa7a4626ae53
[ "Apache-2.0" ]
null
null
null
keystone/tests/unit/core.py
knikolla/keystone
50f0a50cf4d52d3f61b64713bd4faa7a4626ae53
[ "Apache-2.0" ]
null
null
null
keystone/tests/unit/core.py
knikolla/keystone
50f0a50cf4d52d3f61b64713bd4faa7a4626ae53
[ "Apache-2.0" ]
null
null
null
# Copyright 2012 OpenStack Foundation # # 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...
34.217996
79
0.619676
4,443
36,887
4.979743
0.186811
0.023593
0.031458
0.018983
0.273446
0.231322
0.196158
0.155299
0.134734
0.117876
0
0.007054
0.281319
36,887
1,077
80
34.249768
0.827537
0.194893
0
0.301501
0
0.001364
0.097711
0.01699
0
0
0
0.001857
0.030014
1
0.100955
false
0.013643
0.05457
0.017735
0.245566
0.001364
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
918dd351f71913e5bfee0b534327c85070c34d0b
17,327
py
Python
PyISY/Nodes/__init__.py
sneelco/PyISY
f1f916cd7951b1b6a5235bb36444c695fe3294e1
[ "Apache-2.0" ]
null
null
null
PyISY/Nodes/__init__.py
sneelco/PyISY
f1f916cd7951b1b6a5235bb36444c695fe3294e1
[ "Apache-2.0" ]
null
null
null
PyISY/Nodes/__init__.py
sneelco/PyISY
f1f916cd7951b1b6a5235bb36444c695fe3294e1
[ "Apache-2.0" ]
null
null
null
from .group import Group from .node import (Node, parse_xml_properties, ATTR_ID) from time import sleep from xml.dom import minidom class Nodes(object): """ This class handles the ISY nodes. This class can be used as a dictionary to navigate through the controller's structure to objects of type :cla...
36.324948
100
0.48612
1,749
17,327
4.719268
0.168096
0.024231
0.021323
0.012358
0.221468
0.188636
0.147807
0.12915
0.12915
0.12915
0
0.005745
0.417326
17,327
476
101
36.401261
0.811807
0.137416
0
0.302115
0
0
0.047904
0
0
0
0.000275
0
0
1
0.07855
false
0.003021
0.012085
0.006042
0.190332
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
918e36c7c2d321203012c2cecdfb70b87e94940f
1,329
py
Python
easyCore/Utils/Logging.py
easyScience/easyCore
5d16d5b27803277d0c44886f94dab599f764ae0b
[ "BSD-3-Clause" ]
2
2021-11-02T10:22:45.000Z
2022-02-18T23:41:19.000Z
easyCore/Utils/Logging.py
easyScience/easyCore
5d16d5b27803277d0c44886f94dab599f764ae0b
[ "BSD-3-Clause" ]
114
2020-06-30T08:52:27.000Z
2022-03-30T20:47:56.000Z
easyCore/Utils/Logging.py
easyScience/easyCore
5d16d5b27803277d0c44886f94dab599f764ae0b
[ "BSD-3-Clause" ]
1
2022-03-04T13:01:09.000Z
2022-03-04T13:01:09.000Z
# SPDX-FileCopyrightText: 2021 easyCore contributors <core@easyscience.software> # SPDX-License-Identifier: BSD-3-Clause # © 2021 Contributors to the easyCore project <https://github.com/easyScience/easyCore> __author__ = 'github.com/wardsimon' __version__ = '0.1.0' import logging class Logger: def __init__...
36.916667
91
0.645598
152
1,329
5.434211
0.513158
0.048426
0.053269
0.05569
0
0
0
0
0
0
0
0.014213
0.258841
1,329
35
92
37.971429
0.82335
0.536494
0
0
0
0
0.049091
0
0
0
0
0
0
1
0.166667
false
0
0.083333
0
0.416667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
919092189581e9b39163223362020fad3bbd08e7
3,416
py
Python
defaultsob/core.py
honewatson/defaults
c6a845ec1f25fc82e7645dfee60dd2df1cfa4e81
[ "0BSD" ]
null
null
null
defaultsob/core.py
honewatson/defaults
c6a845ec1f25fc82e7645dfee60dd2df1cfa4e81
[ "0BSD" ]
null
null
null
defaultsob/core.py
honewatson/defaults
c6a845ec1f25fc82e7645dfee60dd2df1cfa4e81
[ "0BSD" ]
null
null
null
# -*- coding: utf-8 -*- def ordered_set(iter): """Creates an ordered set @param iter: list or tuple @return: list with unique values """ final = [] for i in iter: if i not in final: final.append(i) return final def class_slots(ob): """Get object attributes from...
27.772358
77
0.624415
447
3,416
4.599553
0.241611
0.029183
0.01751
0.011673
0
0
0
0
0
0
0
0.000833
0.297424
3,416
122
78
28
0.855833
0.425351
0
0.081633
0
0
0.022183
0
0
0
0
0
0
1
0.183673
false
0
0
0
0.367347
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9190a55060e46f0f4d728a8eb6583235a5fc4dcf
3,140
py
Python
tests/bot_test.py
item4/yui
8628d0d54b94ada3cbe7d1b0f624063258bad10a
[ "MIT" ]
36
2017-06-12T01:09:46.000Z
2021-01-31T17:57:41.000Z
tests/bot_test.py
item4/yui
8628d0d54b94ada3cbe7d1b0f624063258bad10a
[ "MIT" ]
145
2017-06-21T13:31:29.000Z
2021-06-20T01:01:30.000Z
tests/bot_test.py
item4/yui
8628d0d54b94ada3cbe7d1b0f624063258bad10a
[ "MIT" ]
21
2017-07-24T15:53:19.000Z
2021-12-23T04:18:31.000Z
import asyncio from collections import defaultdict from datetime import timedelta import pytest from yui.api import SlackAPI from yui.bot import Bot from yui.box import Box from yui.types.slack.response import APIResponse from yui.utils import json from .util import FakeImportLib def test_bot_init(event_loop, monk...
27.787611
75
0.605414
367
3,140
5.111717
0.217984
0.074627
0.095949
0.154584
0.567697
0.567697
0.541045
0.491471
0.491471
0.491471
0
0.023671
0.233121
3,140
112
76
28.035714
0.755399
0
0
0.446809
0
0
0.214331
0.007325
0
0
0
0
0.148936
1
0.010638
false
0
0.138298
0
0.148936
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9190bf228865d048848fd87f601781ac36e5057a
2,901
py
Python
scripts/marker_filter.py
CesMak/aruco_detector_ocv
bb45e39664247779cbbbc8d37b89c4556b4984d6
[ "BSD-3-Clause" ]
12
2019-03-12T08:47:07.000Z
2022-02-09T03:59:39.000Z
scripts/marker_filter.py
vprooks/simple_aruco_detector
40cb7354d7da67028c91b4c4652e8c4a1d2abbbb
[ "MIT" ]
3
2020-07-02T04:25:10.000Z
2021-08-31T15:56:13.000Z
scripts/marker_filter.py
CesMak/aruco_detector_ocv
bb45e39664247779cbbbc8d37b89c4556b4984d6
[ "BSD-3-Clause" ]
11
2019-10-25T17:36:44.000Z
2022-02-16T17:12:38.000Z
#!/usr/bin/env python import numpy as np import rospy import geometry_msgs.msg import tf2_ros from tf.transformations import quaternion_slerp def translation_to_numpy(t): return np.array([t.x, t.y, t.z]) def quaternion_to_numpy(q): return np.array([q.x, q.y, q.z, q.w]) if __name__ == '__main__': rosp...
36.2625
109
0.666322
352
2,901
5.215909
0.286932
0.092593
0.103486
0.073529
0.08061
0
0
0
0
0
0
0.015131
0.24819
2,901
79
110
36.721519
0.826685
0.055843
0
0.033898
0
0
0.045355
0
0
0
0
0
0
1
0.033898
false
0
0.084746
0.033898
0.152542
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9190f1884667aaeb95f3ee0745ae12dfce3341d8
3,713
py
Python
src/backbone/utils.py
hankyul2/FaceDA
73006327df3668923d4206f81d4976ca1240329d
[ "Apache-2.0" ]
20
2021-11-26T18:05:30.000Z
2022-02-15T12:21:10.000Z
src/backbone/utils.py
hankyul2/FaceDA
73006327df3668923d4206f81d4976ca1240329d
[ "Apache-2.0" ]
null
null
null
src/backbone/utils.py
hankyul2/FaceDA
73006327df3668923d4206f81d4976ca1240329d
[ "Apache-2.0" ]
1
2022-02-15T12:21:17.000Z
2022-02-15T12:21:17.000Z
import os import subprocess from pathlib import Path from torch.hub import load_state_dict_from_url import numpy as np model_urls = { # ResNet 'resnet18': 'https://download.pytorch.org/models/resnet18-f37072fd.pth', 'resnet34': 'https://download.pytorch.org/models/resnet34-b627a593.pth', 'resnet50':...
50.175676
127
0.720442
503
3,713
5.091451
0.260437
0.052714
0.078094
0.089809
0.56228
0.370558
0.370558
0.283483
0.283483
0.283483
0
0.084704
0.131969
3,713
73
128
50.863014
0.709898
0.015082
0
0
0
0.096154
0.552329
0.024932
0
0
0
0
0
1
0.057692
false
0
0.096154
0
0.192308
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91918e0b4360daa841c2dd658213e7f9249510fa
702
py
Python
crawler1.py
pjha1994/Scrape_reddit
2a00a83854085e09f0cf53aef81969025876039b
[ "Apache-2.0" ]
null
null
null
crawler1.py
pjha1994/Scrape_reddit
2a00a83854085e09f0cf53aef81969025876039b
[ "Apache-2.0" ]
null
null
null
crawler1.py
pjha1994/Scrape_reddit
2a00a83854085e09f0cf53aef81969025876039b
[ "Apache-2.0" ]
null
null
null
import requests from bs4 import BeautifulSoup def recursiveUrl(url, link, depth): if depth == 5: return url else: print(link['href']) page = requests.get(url + link['href']) soup = BeautifulSoup(page.text, 'html.parser') newlink = soup.find('a') if len(newlink) =...
27
62
0.602564
88
702
4.795455
0.431818
0.106635
0.090047
0.085308
0.165877
0.165877
0
0
0
0
0
0.009709
0.266382
702
26
63
27
0.809709
0
0
0.173913
0
0
0.076814
0
0
0
0
0
0
1
0.086957
false
0
0.086957
0
0.347826
0.086957
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9191a318c08b49c9339f1e4504f721d3f2d1d83b
2,428
py
Python
chime2/tests/normal/models/seir_test.py
BrianThomasRoss/CHIME-2
f084ab552fac5e50841a922293b74d653450790b
[ "BSD-3-Clause" ]
null
null
null
chime2/tests/normal/models/seir_test.py
BrianThomasRoss/CHIME-2
f084ab552fac5e50841a922293b74d653450790b
[ "BSD-3-Clause" ]
null
null
null
chime2/tests/normal/models/seir_test.py
BrianThomasRoss/CHIME-2
f084ab552fac5e50841a922293b74d653450790b
[ "BSD-3-Clause" ]
1
2020-11-19T23:08:52.000Z
2020-11-19T23:08:52.000Z
"""Tests for SEIR model in this repo * Compares conserved quantities * Compares model against SEIR wo social policies in limit to SIR """ from pandas import Series from pandas.testing import assert_frame_equal, assert_series_equal from bayes_chime.normal.models import SEIRModel, SIRModel from pytest import fixture fro...
28.232558
81
0.710461
340
2,428
4.773529
0.347059
0.033272
0.027726
0.046211
0.039433
0
0
0
0
0
0
0.017409
0.195634
2,428
85
82
28.564706
0.81362
0.177924
0
0.039216
0
0
0.083376
0.02046
0
0
0
0
0.058824
1
0.078431
false
0
0.098039
0
0.215686
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91928996da1f5de4298b9395563c76e7f7e3542f
4,681
py
Python
Libraries/mattsLibraries/mathOperations.py
mrware91/PhilTransA-TRXS-Limits
5592c6c66276cd493d10f066aa636aaf600d3a00
[ "MIT" ]
null
null
null
Libraries/mattsLibraries/mathOperations.py
mrware91/PhilTransA-TRXS-Limits
5592c6c66276cd493d10f066aa636aaf600d3a00
[ "MIT" ]
2
2018-06-19T00:01:27.000Z
2018-10-16T18:33:24.000Z
Libraries/mattsLibraries/mathOperations.py
mrware91/PhilTransA-TRXS-Limits
5592c6c66276cd493d10f066aa636aaf600d3a00
[ "MIT" ]
null
null
null
import numpy as np from scipy.interpolate import interp1d from pyTools import * ################################################################################ #~~~~~~~~~Log ops ################################################################################ def logPolyVal(p,x): ord = p.order() logs = [] ...
32.734266
129
0.470626
663
4,681
3.300151
0.221719
0.014625
0.015082
0.034278
0.326325
0.285649
0.234461
0.190585
0.157678
0.131627
0
0.032709
0.19013
4,681
142
130
32.964789
0.544447
0.026063
0
0.147368
0
0
0.053824
0
0
0
0
0
0
1
0.147368
false
0
0.031579
0.010526
0.326316
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91941908fbc07382f07b7bc44926ab4220545f9d
947
py
Python
src/routes/web.py
enflo/weather-flask
c4d905e1f557b4c9b39d0a578fdbb6fefc839028
[ "Apache-2.0" ]
null
null
null
src/routes/web.py
enflo/weather-flask
c4d905e1f557b4c9b39d0a578fdbb6fefc839028
[ "Apache-2.0" ]
null
null
null
src/routes/web.py
enflo/weather-flask
c4d905e1f557b4c9b39d0a578fdbb6fefc839028
[ "Apache-2.0" ]
null
null
null
from flask import Blueprint, render_template from gateways.models import getWeatherData web = Blueprint("web", __name__, template_folder='templates') @web.route("/", methods=['GET']) def home(): items = getWeatherData.get_last_item() cityName = items["city"] return render_template("index.html", ...
32.655172
61
0.564942
87
947
6
0.37931
0.10728
0.074713
0.099617
0.367816
0.252874
0.252874
0.252874
0.252874
0.252874
0
0.001486
0.289335
947
28
62
33.821429
0.774146
0.414995
0
0
0
0
0.104779
0
0
0
0
0
0
1
0.083333
false
0
0.166667
0
0.333333
0.166667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91979003f9cb74dc9f591b8277facbe005dfd825
532
py
Python
swapidemo1.py
anvytran-dev/mycode
3753c19828f0ecc506a6450bb6b71b4a5d651e5f
[ "MIT" ]
null
null
null
swapidemo1.py
anvytran-dev/mycode
3753c19828f0ecc506a6450bb6b71b4a5d651e5f
[ "MIT" ]
null
null
null
swapidemo1.py
anvytran-dev/mycode
3753c19828f0ecc506a6450bb6b71b4a5d651e5f
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 """Star Wars API HTTP response parsing""" # requests is used to send HTTP requests (get it?) import requests URL= "https://swapi.dev/api/people/1" def main(): """sending GET request, checking response""" # SWAPI response is stored in "resp" object resp= requests.get(URL) # wh...
22.166667
52
0.654135
77
532
4.415584
0.675325
0.064706
0
0
0
0
0
0
0
0
0
0.004717
0.203008
532
23
53
23.130435
0.79717
0.468045
0
0
0
0
0.329588
0
0
0
0
0
0
1
0.125
false
0
0.125
0
0.25
0.25
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
9198600a03831a59503bb3d3f2827b284d0e1c16
2,316
bzl
Python
format/format.bzl
harshad-deo/TorchVI
f66d1486201368c9906869477ba7ae254d2e7191
[ "Apache-2.0" ]
null
null
null
format/format.bzl
harshad-deo/TorchVI
f66d1486201368c9906869477ba7ae254d2e7191
[ "Apache-2.0" ]
null
null
null
format/format.bzl
harshad-deo/TorchVI
f66d1486201368c9906869477ba7ae254d2e7191
[ "Apache-2.0" ]
null
null
null
def _replace_formatted(ctx, manifest, files): out = ctx.actions.declare_file(ctx.label.name) # this makes it easier to add variables file_lines = [ """#!/bin/bash -e WORKSPACE_ROOT="${1:-$BUILD_WORKSPACE_DIRECTORY}" """, """RUNPATH="${TEST_SRCDIR-$0.runfiles}"/""" + ctx.workspace_name, ...
30.473684
88
0.577288
254
2,316
5.070866
0.346457
0.046584
0.037267
0.048913
0.091615
0
0
0
0
0
0
0.001786
0.274611
2,316
75
89
30.88
0.764881
0.015976
0
0.09434
0
0
0.055904
0.01255
0
0
0
0
0
1
0.056604
false
0
0
0
0.113208
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
919e14a6393eda0c7e38c0fd3d5e470f7982030f
11,038
py
Python
first-floor.py
levabd/smart-climat-daemon
8ff273eeb74fb03ea04fda11b0128fa13d35b500
[ "MIT" ]
null
null
null
first-floor.py
levabd/smart-climat-daemon
8ff273eeb74fb03ea04fda11b0128fa13d35b500
[ "MIT" ]
1
2021-06-02T03:55:13.000Z
2021-06-02T03:55:13.000Z
first-floor.py
levabd/smart-climat-daemon
8ff273eeb74fb03ea04fda11b0128fa13d35b500
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 import json import argparse import re import datetime import paramiko import requests # cmd ['ssh', 'smart', # 'mkdir -p /home/levabd/smart-home-temp-humidity-monitor; # cat - > /home/levabd/smart-home-temp-humidity-monitor/lr.json'] from miio import chuangmi_plug from btlewrap import availabl...
37.80137
118
0.602102
1,379
11,038
4.704133
0.171139
0.030831
0.032064
0.018499
0.631417
0.566209
0.539232
0.480962
0.449669
0.433945
0
0.055024
0.252491
11,038
291
119
37.931271
0.731184
0.111705
0
0.486486
0
0.004505
0.217982
0.055858
0
0
0
0
0
1
0.058559
false
0.004505
0.040541
0
0.202703
0.058559
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
919e36250164a66af6592305ae454fa0dbde1d43
642
py
Python
reservior_classification.py
Optimist-Prime/QML-for-MNIST-classification
7513b3faa548166dba3df927a248e8c7f1ab2a15
[ "BSD-3-Clause" ]
1
2020-02-04T12:51:47.000Z
2020-02-04T12:51:47.000Z
reservior_classification.py
Optimist-Prime/QML-for-MNIST-classification
7513b3faa548166dba3df927a248e8c7f1ab2a15
[ "BSD-3-Clause" ]
null
null
null
reservior_classification.py
Optimist-Prime/QML-for-MNIST-classification
7513b3faa548166dba3df927a248e8c7f1ab2a15
[ "BSD-3-Clause" ]
null
null
null
import pickle from sklearn.neural_network import MLPClassifier train = pickle.load(open('train_pca_reservoir_output_200samples.pickle','rb')) test = pickle.load(open('test_pca_reservoir_output_50samples.pickle','rb')) train_num = 200 test_num = 50 mlp = MLPClassifier(hidden_layer_sizes=(2000,), max_iter=100, alpha=1...
37.764706
78
0.700935
99
642
4.333333
0.535354
0.055944
0.065268
0.055944
0.195804
0.11655
0.11655
0
0
0
0
0.059783
0.140187
642
16
79
40.125
0.717391
0
0
0
0
0
0.207165
0.133956
0
0
0
0
0
1
0
false
0
0.166667
0
0.166667
0.166667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
919f4e67778a5a961b0e58f4deb0ff4d5a7ee8e6
4,099
py
Python
util.py
delmarrerikaine/LPG-PCA
deb631ee2c4c88190ce4204fcbc0765ae5cd8f53
[ "MIT" ]
1
2021-05-07T01:00:18.000Z
2021-05-07T01:00:18.000Z
util.py
delmarrerikaine/LPG-PCA
deb631ee2c4c88190ce4204fcbc0765ae5cd8f53
[ "MIT" ]
null
null
null
util.py
delmarrerikaine/LPG-PCA
deb631ee2c4c88190ce4204fcbc0765ae5cd8f53
[ "MIT" ]
2
2019-06-29T16:30:32.000Z
2020-11-18T17:40:47.000Z
import numpy as np import pandas as pd from skimage import io import skimage.measure as measure import os from lpg_pca_impl import denoise def getNoisedImage(originalImage, variance): # return random_noise(originalImage, mode='gaussian', var=variance) np.random.seed(42) noise = np.random.normal(size=origi...
36.598214
141
0.658941
562
4,099
4.553381
0.24911
0.051973
0.065651
0.040641
0.227042
0.157093
0.04533
0
0
0
0
0.014072
0.185167
4,099
111
142
36.927928
0.752096
0.015858
0
0.026316
0
0
0.141865
0.009673
0
0
0
0
0
1
0.118421
false
0
0.078947
0.039474
0.263158
0.065789
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91a0653094ec563d20865f6d3bbca729f2752582
3,178
py
Python
ui/ui.py
kringen/wingnut
73be4f8393720ff0932ab069543e5f2d2308296d
[ "MIT" ]
null
null
null
ui/ui.py
kringen/wingnut
73be4f8393720ff0932ab069543e5f2d2308296d
[ "MIT" ]
null
null
null
ui/ui.py
kringen/wingnut
73be4f8393720ff0932ab069543e5f2d2308296d
[ "MIT" ]
null
null
null
import redis from rq import Queue, Connection from flask import Flask, render_template, Blueprint, jsonify, request import tasks import rq_dashboard from wingnut import Wingnut app = Flask( __name__, template_folder="./templates", static_folder="./static", ) app.config.from_object(rq_dashb...
29.425926
77
0.608559
337
3,178
5.52819
0.25816
0.082662
0.064412
0.072464
0.331723
0.271605
0.234031
0.234031
0.234031
0.234031
0
0.014523
0.241661
3,178
107
78
29.700935
0.758506
0
0
0.308511
0
0
0.189113
0.020768
0
0
0
0
0
1
0.06383
false
0
0.06383
0.010638
0.191489
0.021277
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91a63511fb79b5745ac6428aee3eedeaa5046fe6
1,410
py
Python
omkar/code.py
omi28/ga-learner-dst-repo
396c35ea56028717a96aed6ca771e39ebf68dc5b
[ "MIT" ]
null
null
null
omkar/code.py
omi28/ga-learner-dst-repo
396c35ea56028717a96aed6ca771e39ebf68dc5b
[ "MIT" ]
null
null
null
omkar/code.py
omi28/ga-learner-dst-repo
396c35ea56028717a96aed6ca771e39ebf68dc5b
[ "MIT" ]
null
null
null
# -------------- # Importing header files import numpy as np import warnings warnings.filterwarnings('ignore') new_record=[[50, 9, 4, 1, 0, 0, 40, 0]] #New record #Reading file data = np.genfromtxt(path, delimiter=",", skip_header=1) data.shape cenus=np.concatenate((new_record,data),axis=0) cenus....
20.434783
57
0.719858
246
1,410
3.878049
0.247967
0.050314
0.057652
0.041929
0.062893
0.062893
0
0
0
0
0
0.039231
0.114184
1,410
68
58
20.735294
0.72458
0.085816
0
0
0
0
0.005771
0
0
0
0
0
0
1
0
false
0
0.04
0
0.04
0.26
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91aa65150dc0f4a17f1e9ed16821f5753cc86fa6
389
py
Python
python/Excel/enumerateCells.py
davidgjy/arch-lib
b4402b96d2540995a848e6c5f600b2d99847ded6
[ "Apache-2.0" ]
null
null
null
python/Excel/enumerateCells.py
davidgjy/arch-lib
b4402b96d2540995a848e6c5f600b2d99847ded6
[ "Apache-2.0" ]
null
null
null
python/Excel/enumerateCells.py
davidgjy/arch-lib
b4402b96d2540995a848e6c5f600b2d99847ded6
[ "Apache-2.0" ]
null
null
null
import openpyxl wb = openpyxl.load_workbook('example.xlsx') sheet = wb.get_sheet_by_name('Sheet1') rows = sheet.get_highest_row() cols = sheet.get_highest_column() for i in range(1, rows + 1): for j in range(1, cols + 1): print('%s: %s' % (sheet.cell(row=i, column=j).coordinate, sheet.cell(row=i, column=j)....
32.416667
96
0.59126
57
389
3.894737
0.491228
0.072072
0.135135
0.117117
0.18018
0.18018
0
0
0
0
0
0.014925
0.138817
389
12
97
32.416667
0.647761
0
0
0
0
0
0.182058
0.118734
0
0
0
0
0
1
0
false
0
0.111111
0
0.111111
0.222222
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91ac9d140e7247cc524f64941c877611ed2cbd70
6,257
py
Python
CurrencyExchange.py
aarana14/CurrencyExchange
e3f35c1481acf19683a74a41509b1dd37ae48594
[ "MIT" ]
null
null
null
CurrencyExchange.py
aarana14/CurrencyExchange
e3f35c1481acf19683a74a41509b1dd37ae48594
[ "MIT" ]
null
null
null
CurrencyExchange.py
aarana14/CurrencyExchange
e3f35c1481acf19683a74a41509b1dd37ae48594
[ "MIT" ]
null
null
null
#import external libraries used in code import requests, json import pycountry print('Currency Exchange') currencies = [] def findCurrency(): #Finds all avaliable currencies allCurrency = (list(pycountry.currencies)) for x in allCurrency: y = str(x) y = y[18:21] #Adds th...
38.863354
189
0.61563
739
6,257
5.184032
0.281461
0.028191
0.031323
0.036544
0.144871
0.102062
0.052728
0.024537
0
0
0
0.007687
0.293112
6,257
160
190
39.10625
0.858467
0.307496
0
0.215686
0
0.019608
0.194088
0.005331
0
0
0
0
0
1
0.078431
false
0.009804
0.019608
0
0.147059
0.137255
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91ad8a5fd94219e90c24839542dbfefd0cc9fc70
6,142
py
Python
scripts/analyse_bse.py
QU-XIAO/yambopy
ff65a4f90c1bfefe642ebc61e490efe781709ff9
[ "BSD-3-Clause" ]
21
2016-04-07T20:53:29.000Z
2021-05-14T08:06:02.000Z
scripts/analyse_bse.py
alexmoratalla/yambopy
8ec0e1e18868ccaadb3eab36c55e6a47021e257d
[ "BSD-3-Clause" ]
22
2016-06-14T22:29:47.000Z
2021-09-16T15:36:26.000Z
scripts/analyse_bse.py
alexmoratalla/yambopy
8ec0e1e18868ccaadb3eab36c55e6a47021e257d
[ "BSD-3-Clause" ]
15
2016-06-14T18:40:57.000Z
2021-08-07T13:17:43.000Z
# Copyright (C) 2018 Alexandre Morlet, Henrique Pereira Coutada Miranda # All rights reserved. # # This file is part of yambopy # from __future__ import print_function from builtins import range from yambopy import * from qepy import * import json import matplotlib.pyplot as plt import numpy as np import sys import arg...
36.559524
122
0.632693
813
6,142
4.697417
0.369004
0.015711
0.007332
0.00995
0.070175
0.070175
0.042943
0.025137
0.025137
0.025137
0
0.006644
0.240313
6,142
167
123
36.778443
0.81183
0.279551
0
0.041667
0
0
0.238428
0
0
0
0
0
0
1
0.010417
false
0
0.114583
0
0.125
0.166667
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91aeb848169969b77dd6c9be3484be7a02c40a1b
2,218
py
Python
tools/acetz.py
arkhipenko/AceTime
bc6e6aa530e309b62a204b7574322ba013066b06
[ "MIT" ]
1
2021-02-23T06:17:36.000Z
2021-02-23T06:17:36.000Z
tools/acetz.py
arkhipenko/AceTime
bc6e6aa530e309b62a204b7574322ba013066b06
[ "MIT" ]
null
null
null
tools/acetz.py
arkhipenko/AceTime
bc6e6aa530e309b62a204b7574322ba013066b06
[ "MIT" ]
null
null
null
from typing import cast, Optional from datetime import datetime, tzinfo, timedelta from zonedbpy import zone_infos from zone_processor.zone_specifier import ZoneSpecifier from zone_processor.inline_zone_info import ZoneInfo __version__ = '1.1' class acetz(tzinfo): """An implementation of datetime.tzinfo using th...
34.65625
73
0.628945
300
2,218
4.453333
0.226667
0.053892
0.067365
0.056886
0.50524
0.50524
0.50524
0.50524
0.50524
0.50524
0
0.023213
0.261948
2,218
63
74
35.206349
0.792914
0.038774
0
0.48
0
0
0.166273
0.113368
0
0
0
0
0.06
1
0.12
false
0
0.1
0.02
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
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91b37c8672721c9195859e7e71caa5db1a857b4d
25,928
py
Python
examples/run_chemistry_parser.py
ZhuoyuWei/transformers
16d0ebd55d17dd5095231566a0544ecebd56bc9c
[ "Apache-2.0" ]
null
null
null
examples/run_chemistry_parser.py
ZhuoyuWei/transformers
16d0ebd55d17dd5095231566a0544ecebd56bc9c
[ "Apache-2.0" ]
null
null
null
examples/run_chemistry_parser.py
ZhuoyuWei/transformers
16d0ebd55d17dd5095231566a0544ecebd56bc9c
[ "Apache-2.0" ]
null
null
null
# coding=utf-8 # Copyright 2019 The HuggingFace Inc. team. # Copyright (c) 2019 The HuggingFace Inc. 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...
34.432935
127
0.612234
3,024
25,928
5.005622
0.146825
0.016384
0.028077
0.007994
0.373258
0.300522
0.261214
0.209355
0.185704
0.154258
0
0.007957
0.277808
25,928
752
128
34.478723
0.800427
0.144747
0
0.294798
0
0.001927
0.115507
0.013172
0
0
0
0
0
1
0.021195
false
0.001927
0.026975
0.001927
0.063584
0.017341
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
91b47f9da5c47dfa6628ace04164ad0d1bc8a057
1,710
py
Python
vimfiles/bundle/ultisnips/test/test_AnonymousExpansion.py
duanqiaobb/vim-for-java
01b60e4494e65a73c9a9de00f50259d8a7c8d0bb
[ "MIT" ]
null
null
null
vimfiles/bundle/ultisnips/test/test_AnonymousExpansion.py
duanqiaobb/vim-for-java
01b60e4494e65a73c9a9de00f50259d8a7c8d0bb
[ "MIT" ]
null
null
null
vimfiles/bundle/ultisnips/test/test_AnonymousExpansion.py
duanqiaobb/vim-for-java
01b60e4494e65a73c9a9de00f50259d8a7c8d0bb
[ "MIT" ]
null
null
null
from test.vim_test_case import VimTestCase as _VimTest from test.constant import * # Anonymous Expansion {{{# class _AnonBase(_VimTest): args = '' def _extra_options_pre_init(self, vim_config): vim_config.append('inoremap <silent> %s <C-R>=UltiSnips#Anon(%s)<cr>' % (EA, se...
25.147059
77
0.615789
214
1,710
4.742991
0.271028
0.079803
0.124138
0.118227
0.539901
0.461084
0.423645
0.362562
0.151724
0.151724
0
0.034928
0.229825
1,710
67
78
25.522388
0.735763
0.031579
0
0.348837
0
0
0.300424
0.016959
0
0
0
0
0
1
0.023256
false
0
0.046512
0
0.953488
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0