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
ec20433a7e0cd45d819304cb2359f472e8ae5d77
153
py
Python
UTKFace/UTKFace_64x64/cGAN-concat/models/__init__.py
asatk/improved_CcGAN
29a58e6e2a03e56c2ad80ae1a2ebbd0710e026f3
[ "MIT" ]
1
2022-02-26T00:07:37.000Z
2022-02-26T00:07:37.000Z
UTKFace/UTKFace_64x64/cGAN-concat/models/__init__.py
asatk/improved_CcGAN
29a58e6e2a03e56c2ad80ae1a2ebbd0710e026f3
[ "MIT" ]
null
null
null
UTKFace/UTKFace_64x64/cGAN-concat/models/__init__.py
asatk/improved_CcGAN
29a58e6e2a03e56c2ad80ae1a2ebbd0710e026f3
[ "MIT" ]
null
null
null
from .DCGAN import * from .SNGAN import * from .ResNet_regre import * from .ResNet_embed import * from .ResNet_class import * from .autoencoder import *
21.857143
27
0.764706
21
153
5.428571
0.428571
0.438596
0.421053
0
0
0
0
0
0
0
0
0
0.156863
153
6
28
25.5
0.883721
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
ec2313048745a9ce34c7da0e2f7ca68c14230a65
96
py
Python
models/incoming_phone_numbers.py
arfrank/Fake-Twilio-Api
3ed180d8ea81747f8afaba92af8f47e4397de480
[ "Unlicense" ]
6
2015-06-22T19:32:08.000Z
2021-03-19T05:14:14.000Z
models/incoming_phone_numbers.py
arfrank/Fake-Twilio-Api
3ed180d8ea81747f8afaba92af8f47e4397de480
[ "Unlicense" ]
null
null
null
models/incoming_phone_numbers.py
arfrank/Fake-Twilio-Api
3ed180d8ea81747f8afaba92af8f47e4397de480
[ "Unlicense" ]
2
2016-04-13T14:44:32.000Z
2021-04-12T14:41:24.000Z
from models import phone_numbers class Incoming_Phone_Number(phone_numbers.Phone_Number): pass
24
56
0.875
14
96
5.642857
0.642857
0.303797
0
0
0
0
0
0
0
0
0
0
0.083333
96
4
57
24
0.897727
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
6b705b80ae29068fa04c256314281b4c59a227b2
8,072
py
Python
py/HW3/option_models/sabr.py
cy-wang15/ASP
68a512fbbe0a36feab7eaee5118ea815ec0444de
[ "MIT" ]
1
2021-05-17T02:17:54.000Z
2021-05-17T02:17:54.000Z
py/HW3/option_models/sabr.py
cy-wang15/ASP
68a512fbbe0a36feab7eaee5118ea815ec0444de
[ "MIT" ]
null
null
null
py/HW3/option_models/sabr.py
cy-wang15/ASP
68a512fbbe0a36feab7eaee5118ea815ec0444de
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Tue Oct 10 @author: jaehyuk """ import numpy as np import scipy.stats as ss import scipy.optimize as sopt from . import normal from . import bsm import pyfeng as pf ''' MC model class for Beta=1 ''' class ModelBsmMC: beta = 1.0 # fixed (not used) vov, rho = 0.0, 0...
31.40856
108
0.52837
1,173
8,072
3.56607
0.121057
0.010041
0.009563
0.034425
0.886445
0.877839
0.877839
0.863017
0.863017
0.854889
0
0.032209
0.342294
8,072
257
109
31.40856
0.755698
0.173067
0
0.823529
0
0
0
0
0
0
0
0
0
1
0.078431
false
0
0.039216
0
0.248366
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
6bc54f40c2131aad1358e1eb757d91b6d775197f
134
py
Python
src/github_secret_finder/core/github/__init__.py
gsoft-inc/github-secret-finder
07e85fbc84773dfe9e921d2e7a3c0372cb936177
[ "Apache-2.0" ]
4
2019-10-22T20:03:41.000Z
2020-11-18T18:00:56.000Z
src/github_secret_finder/core/github/__init__.py
mlefebvre/github-secret-finder
07e85fbc84773dfe9e921d2e7a3c0372cb936177
[ "Apache-2.0" ]
null
null
null
src/github_secret_finder/core/github/__init__.py
mlefebvre/github-secret-finder
07e85fbc84773dfe9e921d2e7a3c0372cb936177
[ "Apache-2.0" ]
1
2021-03-30T16:28:57.000Z
2021-03-30T16:28:57.000Z
from .github_api_client import GithubApiClient from .github_search_client import GithubSearchClient from .github_api import GithubApi
33.5
52
0.88806
17
134
6.705882
0.529412
0.263158
0.22807
0
0
0
0
0
0
0
0
0
0.089552
134
3
53
44.666667
0.934426
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
6bec6aab35d861c939c924fbb9a36f93c94e9e3e
132
py
Python
knx_stack/encode/usb_hid/report_header/__init__.py
majamassarini/knx-stack
11a9baac6b7600649b5fbca43c93b200b23676b4
[ "MIT" ]
2
2021-07-28T07:42:28.000Z
2022-01-25T18:56:05.000Z
knx_stack/encode/usb_hid/report_header/__init__.py
majamassarini/knx-stack
11a9baac6b7600649b5fbca43c93b200b23676b4
[ "MIT" ]
6
2021-07-25T21:36:01.000Z
2022-02-20T21:11:31.000Z
knx_stack/encode/usb_hid/report_header/__init__.py
majamassarini/knx-stack
11a9baac6b7600649b5fbca43c93b200b23676b4
[ "MIT" ]
null
null
null
from knx_stack.encode.usb_hid.report_header import packet_info from knx_stack.encode.usb_hid.report_header import report_identifier
44
68
0.893939
22
132
5
0.545455
0.127273
0.218182
0.327273
0.763636
0.763636
0.763636
0.763636
0.763636
0
0
0
0.060606
132
2
69
66
0.887097
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
1
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
11
6bf6833625ae8761aa0f49774275623e8016045e
164
py
Python
api/admin.py
smtr42/p13_atmosberry2
9fde605ad32c72741657ef2ae7a939966664b769
[ "MIT" ]
null
null
null
api/admin.py
smtr42/p13_atmosberry2
9fde605ad32c72741657ef2ae7a939966664b769
[ "MIT" ]
null
null
null
api/admin.py
smtr42/p13_atmosberry2
9fde605ad32c72741657ef2ae7a939966664b769
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import Address, Device, Sensor admin.site.register(Sensor) admin.site.register(Address) admin.site.register(Device)
20.5
43
0.810976
23
164
5.782609
0.478261
0.203008
0.383459
0.345865
0
0
0
0
0
0
0
0
0.091463
164
7
44
23.428571
0.892617
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0.4
0
0.4
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
6bf7e11cb213d94cb972352ff9ffc027d5f710ea
31,086
py
Python
read_xml_all/calcul_matrix_je_le_qui_dans_de_192_matrix_try1.py
daniel20162016/my-first
f9554dd476302b26e8a296393025f150922f349c
[ "MIT" ]
null
null
null
read_xml_all/calcul_matrix_je_le_qui_dans_de_192_matrix_try1.py
daniel20162016/my-first
f9554dd476302b26e8a296393025f150922f349c
[ "MIT" ]
null
null
null
read_xml_all/calcul_matrix_je_le_qui_dans_de_192_matrix_try1.py
daniel20162016/my-first
f9554dd476302b26e8a296393025f150922f349c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ Created on Mon Oct 31 15:45:22 2016 @author: wang """ #from matplotlib import pylab as plt #from numpy import fft, fromstring, int16, linspace #import wave from read_wav_xml_good_1 import* from matrix_24_2 import* from max_matrix_norm import* import numpy as np # open a wave file filename...
44.663793
184
0.491958
4,978
31,086
2.634793
0.019888
0.035453
0.04384
0.128088
0.962794
0.957838
0.926121
0.924291
0.922385
0.922385
0
0.065991
0.124011
31,086
696
184
44.663793
0.415666
0.397928
0
0.905077
0
0
0.005857
0.004447
0
0
0
0
0
0
null
null
0
0.00883
null
null
0.002208
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
9
d40cf0a6971b1d4e07c7769350f3a812613bab4b
3,895
py
Python
ctft/souper.py
bajatin/ctft
71e5e42f42d0910b310331c4d19a38ccf0745870
[ "MIT" ]
5
2020-08-14T13:20:57.000Z
2022-01-09T00:44:22.000Z
ctft/souper.py
bajatin/ctft
71e5e42f42d0910b310331c4d19a38ccf0745870
[ "MIT" ]
null
null
null
ctft/souper.py
bajatin/ctft
71e5e42f42d0910b310331c4d19a38ccf0745870
[ "MIT" ]
null
null
null
import random import requests import aiohttp import asyncio from bs4 import BeautifulSoup user_agent_list = [ 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) Gecko/20100101 Firefox/40.1', 'Mozilla/5.0 (Windows NT 6.3; rv:36.0) Gecko/20100101 Firefox/36.0', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10; rv:3...
66.016949
128
0.689602
700
3,895
3.81
0.161429
0.071241
0.104612
0.131984
0.781027
0.774653
0.750281
0.709786
0.667042
0.64117
0
0.214134
0.15353
3,895
58
129
67.155172
0.594783
0
0
0.117647
0
0.607843
0.748074
0
0
0
0
0
0
1
0
false
0
0.098039
0
0.137255
0
0
0
0
null
0
0
0
0
1
1
1
0
1
0
1
0
0
0
0
0
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
00faa9f8df630a887ca74689348c7c8bf3549ee7
12,427
py
Python
configlines/tests/test_parsers.py
benfogle/configlines
7167593d73218b073a822d7ed7b1140587847c6b
[ "MIT" ]
1
2018-05-06T20:09:54.000Z
2018-05-06T20:09:54.000Z
configlines/tests/test_parsers.py
benfogle/configlines
7167593d73218b073a822d7ed7b1140587847c6b
[ "MIT" ]
null
null
null
configlines/tests/test_parsers.py
benfogle/configlines
7167593d73218b073a822d7ed7b1140587847c6b
[ "MIT" ]
null
null
null
from unittest import TestCase import sys import six from six.moves import configparser from pkg_resources import resource_filename import configlines class ConfigTest(TestCase): def test_simple(self): cfg = configlines.ConfigParser() path = resource_filename(__name__, 'data1.cfg') cfg.rea...
41.149007
71
0.598455
1,524
12,427
4.744751
0.067585
0.110358
0.271332
0.316554
0.878993
0.856037
0.753699
0.709999
0.647075
0.631448
0
0.012786
0.213326
12,427
301
72
41.285714
0.726882
0.003541
0
0.645299
0
0
0.111793
0
0
0
0.000808
0
0.589744
1
0.059829
false
0.004274
0.025641
0.004274
0.102564
0
0
0
0
null
0
1
1
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
2e14029b05698a98078095dbfb57457b6cc2ce2e
142
py
Python
Home/forms.py
Piotr95/Yummy_Pies
a5101b41caa932a69a7c9eda59aef237cf6a69a8
[ "MIT" ]
null
null
null
Home/forms.py
Piotr95/Yummy_Pies
a5101b41caa932a69a7c9eda59aef237cf6a69a8
[ "MIT" ]
null
null
null
Home/forms.py
Piotr95/Yummy_Pies
a5101b41caa932a69a7c9eda59aef237cf6a69a8
[ "MIT" ]
null
null
null
from django import forms from django.contrib.auth.forms import UserCreationForm from django.contrib.auth.models import User import datetime
20.285714
54
0.84507
20
142
6
0.5
0.25
0.283333
0.35
0
0
0
0
0
0
0
0
0.112676
142
6
55
23.666667
0.952381
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
0
0
7
2e84b206539a6313384618deb524872e21bc0563
787
py
Python
calculus.py
jordandll/XMath
27c355656f783ac68737e67ac56fd312b101073a
[ "MIT" ]
null
null
null
calculus.py
jordandll/XMath
27c355656f783ac68737e67ac56fd312b101073a
[ "MIT" ]
null
null
null
calculus.py
jordandll/XMath
27c355656f783ac68737e67ac56fd312b101073a
[ "MIT" ]
null
null
null
def int_exp_sin(a, w): """ Finds the primitive integral of the function, f(t | a, w) := C e^(at + b) sin(wt + p) where C, b, and p are arbitrary constants. Said primitive integral, hencforth 'A_f', has the general form: A_f = Ce^(at + b)(A sin(wt + p) + B cos(wt + p)). Returns 'A' and 'B' found in the above ide...
31.48
108
0.576874
156
787
2.858974
0.25641
0.040359
0.040359
0.047085
0.869955
0.847534
0.847534
0.847534
0.847534
0.847534
0
0.010084
0.243964
787
24
109
32.791667
0.739496
0.766201
0
0.25
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0
0
0.5
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
cf59367e4f8c906270bbfcf8e9c5234e6e662dce
5,987
py
Python
fonts/ami-ega_8x14.py
ccccmagicboy/st7735_mpy
b15f1bde69fbe6e0eb4931c57e71c136d8e7f024
[ "MIT" ]
6
2020-07-11T16:59:19.000Z
2021-07-16T19:32:49.000Z
ports/esp32/user_modules/st7735_mpy/fonts/ami-ega_8x14.py
d4niele/micropython
a1f7b37d392bf46b28045ce215ae899fda8d8c38
[ "MIT" ]
1
2020-04-14T03:14:45.000Z
2020-04-14T03:14:45.000Z
fonts/ami-ega_8x14.py
ccccmagicboy/st7735_mpy
b15f1bde69fbe6e0eb4931c57e71c136d8e7f024
[ "MIT" ]
null
null
null
"""converted from ..\fonts\ami-ega__8x14.bin """ WIDTH = 8 HEIGHT = 14 FIRST = 0x20 LAST = 0x7f _FONT =\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x18\x18\x18\x18\x18\x18\x00\x18\x18\x00\x00\x00'\ b'\x00\xcc\xcc\xcc\x48\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x36\x6c\x6c\xfe\x6c\x...
57.019048
60
0.704192
1,459
5,987
2.886909
0.045922
0.591168
0.49359
0.316239
0.841643
0.761871
0.724359
0.631292
0.503324
0.40717
0
0.375192
0.019709
5,987
104
61
57.567308
0.342477
0.006514
0
0
0
0.941176
0.905203
0.905203
0
1
0.001347
0
0
1
0
false
0
0
0
0
0
0
0
0
null
1
1
1
1
1
1
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
1
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
12
d87b9ab43709962c2e411f2b68eb78fee32f5f19
4,581
py
Python
tests/ParserTest.py
nok/redis-resp
ec4e5180b83921a35b3408547de580804257873c
[ "MIT" ]
null
null
null
tests/ParserTest.py
nok/redis-resp
ec4e5180b83921a35b3408547de580804257873c
[ "MIT" ]
null
null
null
tests/ParserTest.py
nok/redis-resp
ec4e5180b83921a35b3408547de580804257873c
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- import os import subprocess from unittest import TestCase from resp.Parser import Parser class ParserTest(TestCase): def setUp(self): super(ParserTest, self).setUp() current_dir = os.path.dirname(os.path.realpath(__file__)) self.data_dir = os...
47.71875
79
0.534599
820
4,581
2.891463
0.10122
0.080978
0.060734
0.080978
0.850696
0.83973
0.83973
0.83973
0.811472
0.751582
0
0.042286
0.251473
4,581
95
80
48.221053
0.649169
0.009168
0
0.634146
0
0.292683
0.349129
0.246418
0
0
0
0
0.085366
1
0.097561
false
0
0.109756
0
0.219512
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2b26b5956613b962554ab6447760a9497fa7e2f6
155
py
Python
umigame/datasets/__init__.py
penguinwang96825/Umigame
98d647ab6f40df08fe31d6b3bc444afe229a914e
[ "Apache-2.0" ]
null
null
null
umigame/datasets/__init__.py
penguinwang96825/Umigame
98d647ab6f40df08fe31d6b3bc444afe229a914e
[ "Apache-2.0" ]
null
null
null
umigame/datasets/__init__.py
penguinwang96825/Umigame
98d647ab6f40df08fe31d6b3bc444afe229a914e
[ "Apache-2.0" ]
1
2021-11-01T14:35:32.000Z
2021-11-01T14:35:32.000Z
from .crypto import fetch_crypto from .stock import fetch_usstock from .text import fetch_twitter from .text import fetch_news from .text import fetch_text
31
32
0.845161
25
155
5.04
0.36
0.436508
0.333333
0.452381
0
0
0
0
0
0
0
0
0.122581
155
5
33
31
0.926471
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
993e737510b66ecb431a3a6f8e97c350e64978c7
3,708
py
Python
AutomationFramework/tests/hardware/test_hw_cpu.py
sbarguil/Testing-framework
f3ef69f1c4f0aeafd02e222d846162c711783b15
[ "Apache-2.0" ]
1
2020-04-23T15:22:16.000Z
2020-04-23T15:22:16.000Z
AutomationFramework/tests/hardware/test_hw_cpu.py
sbarguil/Testing-framework
f3ef69f1c4f0aeafd02e222d846162c711783b15
[ "Apache-2.0" ]
44
2020-08-13T19:35:41.000Z
2021-03-01T09:08:00.000Z
AutomationFramework/tests/hardware/test_hw_cpu.py
sbarguil/Testing-framework
f3ef69f1c4f0aeafd02e222d846162c711783b15
[ "Apache-2.0" ]
6
2020-04-23T15:29:38.000Z
2022-03-03T14:23:38.000Z
import pytest from AutomationFramework.page_objects.hardware.hardware import Hardware from AutomationFramework.tests.base_test import BaseTest class TestHardwareCPU(BaseTest): test_case_file = 'hw_cpu.yml' @pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file, ...
65.052632
106
0.628641
422
3,708
4.921801
0.092417
0.165624
0.26962
0.107848
0.898893
0.898893
0.898893
0.898893
0.848339
0.771305
0
0
0.294498
3,708
56
107
66.214286
0.79396
0
0
0.595745
0
0
0.153182
0.041532
0
0
0
0
0.148936
1
0.148936
false
0
0.06383
0
0.255319
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
99659c29885112050104992cd94fb81f49525c41
13,010
py
Python
nps_client/nationalparks.py
yifeitung/nps_client
d66b453a03eab2f74d9f3e95f229fe0893b602a7
[ "MIT" ]
null
null
null
nps_client/nationalparks.py
yifeitung/nps_client
d66b453a03eab2f74d9f3e95f229fe0893b602a7
[ "MIT" ]
null
null
null
nps_client/nationalparks.py
yifeitung/nps_client
d66b453a03eab2f74d9f3e95f229fe0893b602a7
[ "MIT" ]
null
null
null
import requests class NPS(): """ This is a class for making HTTP requests for National Park Service API. Parameters ---------- API_KEY: str a string that you get from National Park Service Developer portal. """ def __init__(self, API_KEY): self.base_url = "https://develop...
31.199041
79
0.509224
1,342
13,010
4.877049
0.134128
0.036669
0.029794
0.035294
0.818029
0.801375
0.783346
0.779374
0.772651
0.747288
0
0.010345
0.398155
13,010
416
80
31.274038
0.825543
0.267948
0
0.876068
0
0
0.083483
0.002635
0
0
0
0
0
1
0.042735
false
0.047009
0.004274
0
0.115385
0.025641
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
99aa6f7799d0700b5fbdc5882204c8643ea3181b
346
py
Python
src/constants/coins.py
prodesert22/pangolin-chart-api
4567f1460ec28c607a969162e66c8d7a4c148fae
[ "MIT" ]
null
null
null
src/constants/coins.py
prodesert22/pangolin-chart-api
4567f1460ec28c607a969162e66c8d7a4c148fae
[ "MIT" ]
null
null
null
src/constants/coins.py
prodesert22/pangolin-chart-api
4567f1460ec28c607a969162e66c8d7a4c148fae
[ "MIT" ]
null
null
null
WAVAX = "0xB31f66AA3C1e785363F0875A1B74E27b85FD66c7" PNG = "0x60781c2586d68229fde47564546784ab3faca982" WETH = "0x49d5c2bdffac6ce2bfdb6640f4f80f226bc10bab" # WETH.e DAI = "0xd586e7f844cea2f87f50152665bcbc2c279d8d70" # DAI.e USDC = "0xa7d7079b0fead91f3e65f86e8915cb59c1a4c664" # USDC.e USDT = "0xc7198437980c041c805a1edcb...
49.428571
60
0.849711
20
346
14.7
0.65
0
0
0
0
0
0
0
0
0
0
0.48125
0.075145
346
6
61
57.666667
0.4375
0.075145
0
0
0
0
0.8
0.8
0
0
0.8
0
0
1
0
false
0
0
0
0
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
1
null
0
1
0
0
0
0
0
0
0
0
0
0
0
8
852cb8de01ccbd12b51481246c1980ddc6c397df
34,963
py
Python
looker_client_31/api/config_api.py
ContrastingSounds/looker_sdk_31
f973434049fff1b605b10086ab8b84f2f62e3489
[ "MIT" ]
null
null
null
looker_client_31/api/config_api.py
ContrastingSounds/looker_sdk_31
f973434049fff1b605b10086ab8b84f2f62e3489
[ "MIT" ]
null
null
null
looker_client_31/api/config_api.py
ContrastingSounds/looker_sdk_31
f973434049fff1b605b10086ab8b84f2f62e3489
[ "MIT" ]
null
null
null
# coding: utf-8 """ Experimental Looker API 3.1 Preview This API 3.1 is in active development. Breaking changes are likely to occur to some API functions in future Looker releases until API 3.1 is officially launched and upgraded to beta status. If you have time and interest to experiment with new or modifie...
38.761641
518
0.610846
3,856
34,963
5.304461
0.060944
0.053193
0.024641
0.031681
0.953065
0.951843
0.946025
0.939718
0.936443
0.922607
0
0.017626
0.300604
34,963
901
519
38.804661
0.818836
0.058405
0
0.82881
0
0
0.170304
0.04815
0
0
0
0
0
0
null
null
0
0.008351
null
null
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
5184d0161aea91229d845f24bc5e40026756eea2
6,396
py
Python
src/m2_extra.py
brutchjd/99-CapstoneProject-201920
1208252bab3aeb95fca0529f3f983854ac9efd89
[ "MIT" ]
null
null
null
src/m2_extra.py
brutchjd/99-CapstoneProject-201920
1208252bab3aeb95fca0529f3f983854ac9efd89
[ "MIT" ]
null
null
null
src/m2_extra.py
brutchjd/99-CapstoneProject-201920
1208252bab3aeb95fca0529f3f983854ac9efd89
[ "MIT" ]
null
null
null
""" Capstone Project. Code to call functions for sprint 3. Authors: Your professors (for the framework) and Nathaniel Craan Winter term, 2018-2019. """ import rosebot import time #import tkinter #from tkinter import ttk #import m2_run_this_on_laptop as m2L def m2_pickup_beep(rate): robot = rosebo...
39.481481
127
0.599124
790
6,396
4.541772
0.140506
0.097547
0.156076
0.070234
0.878763
0.878763
0.872352
0.853122
0.801282
0.746934
0
0.021141
0.312226
6,396
161
128
39.726708
0.794499
0.066448
0
0.818182
0
0
0.002018
0
0
0
0
0
0
1
0.057851
false
0
0.016529
0
0.07438
0.041322
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
51c2d0a71d3bc4b147839ea7ea39d280618c757f
2,284
py
Python
Iris>LightServer/test.py
rrbutani/Iris
e3a61530a763387e99fd3107a90fdb3d160f6ead
[ "Unlicense" ]
null
null
null
Iris>LightServer/test.py
rrbutani/Iris
e3a61530a763387e99fd3107a90fdb3d160f6ead
[ "Unlicense" ]
1
2021-02-08T20:15:49.000Z
2021-02-08T20:15:49.000Z
Iris>LightServer/test.py
rrbutani/Iris
e3a61530a763387e99fd3107a90fdb3d160f6ead
[ "Unlicense" ]
1
2016-05-23T17:09:28.000Z
2016-05-23T17:09:28.000Z
from flask import Flask, request import effects import lights import json print lights.strip.numPixels() #print json.loads('[16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 16777215, 1677...
57.1
1,211
0.765762
267
2,284
6.47191
0.191011
1.287037
1.902778
2.5
0.663194
0.663194
0.663194
0.663194
0.663194
0.663194
0
0.563083
0.108144
2,284
39
1,212
58.564103
0.285223
0.72373
0
0
0
0
0.088853
0.035541
0
0
0.012924
0
0
0
null
null
0
0.2
null
null
0.05
0
0
0
null
1
1
1
0
0
0
0
0
1
0
1
0
0
0
1
0
1
0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
0
0
8
51e9ed7cd6fdaded1114be0c4addf10bc513a6b3
9,590
py
Python
activelearning/datareduction/ani_data_reduction.py
plin1112/ANI-Tools
76280c918fc79fee8c266b8bc9ab57f86104ec99
[ "MIT" ]
8
2018-10-30T16:48:44.000Z
2021-03-08T01:44:41.000Z
activelearning/datareduction/ani_data_reduction.py
plin1112/ANI-Tools
76280c918fc79fee8c266b8bc9ab57f86104ec99
[ "MIT" ]
null
null
null
activelearning/datareduction/ani_data_reduction.py
plin1112/ANI-Tools
76280c918fc79fee8c266b8bc9ab57f86104ec99
[ "MIT" ]
5
2018-04-05T15:51:12.000Z
2019-05-23T21:38:31.000Z
import pyanitrainer as atr import os # Network 1 Files wkdir = '/home/jujuman/Research/DataReductionMethods/model_9.0.5_reduce/train/' cnstf = 'rHCNO-4.6A_16-3.1A_a4-8.params' saenf = 'sae_6-31gd.dat' nfdir = 'networks/' opt = 'active_output.opt' # Data Dir datadir = '/home/jujuman/Research/DataReductionMethods/mod...
51.55914
131
0.663191
1,427
9,590
4.192011
0.155571
0.101137
0.174691
0.182548
0.801739
0.778168
0.778168
0.740221
0.727516
0.703611
0
0.119841
0.189051
9,590
185
132
51.837838
0.649351
0.040667
0
0.169014
0
0.239437
0.607587
0.550796
0
0
0
0
0
1
0
false
0
0.014085
0
0.014085
0.021127
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
a400ea67456922121b72684564d665fa4da0f1de
156
py
Python
src/utils/extractors.py
abdellatifLabr/social-media-stocks-tracker
b54f1db488d8b26e292ec025d1af7f8d4b5a94da
[ "MIT" ]
null
null
null
src/utils/extractors.py
abdellatifLabr/social-media-stocks-tracker
b54f1db488d8b26e292ec025d1af7f8d4b5a94da
[ "MIT" ]
null
null
null
src/utils/extractors.py
abdellatifLabr/social-media-stocks-tracker
b54f1db488d8b26e292ec025d1af7f8d4b5a94da
[ "MIT" ]
null
null
null
import re def extract_tickers(text, stock_symbol_length, *args, **kwargs): return re.findall('([$][A-Za-z]{' + stock_symbol_length + '})[\S]*', text)
26
78
0.653846
22
156
4.409091
0.772727
0.226804
0.350515
0
0
0
0
0
0
0
0
0
0.128205
156
5
79
31.2
0.713235
0
0
0
0
0
0.128205
0
0
0
0
0
0
1
0.333333
false
0
0.333333
0.333333
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
1
0
0
0
7
32263a3ab6072475de7cd528895f9bbf02dc912b
168
py
Python
predavanje3/uvjetna_naredba_if.py
Miillky/uvod_u_programiranje
209611e38c8fe84c727649df4b868a4278eb77c3
[ "MIT" ]
null
null
null
predavanje3/uvjetna_naredba_if.py
Miillky/uvod_u_programiranje
209611e38c8fe84c727649df4b868a4278eb77c3
[ "MIT" ]
null
null
null
predavanje3/uvjetna_naredba_if.py
Miillky/uvod_u_programiranje
209611e38c8fe84c727649df4b868a4278eb77c3
[ "MIT" ]
null
null
null
if 5<6: print('Linija1') print('Linija2') print("Linija3") print("Linija4") if 5>6: print("Linija1") print("Linija2") print("Linija3") print("Linija4")
15.272727
20
0.619048
22
168
4.727273
0.363636
0.057692
0.076923
0.173077
1
1
1
1
1
1
0
0.085714
0.166667
168
11
21
15.272727
0.657143
0
0
0.4
0
0
0.331361
0
0
0
0
0
0
1
0
true
0
0
0
0
0.8
1
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
10
5c6c0fbb192964514a73f3f96708e09288d0f48b
21,542
py
Python
hanibal/ans_reporte/crear_informe_orden_pago_excel.py
Christian-Castro/castro_odoo8
8247fdb20aa39e043b6fa0c4d0af509462ab3e00
[ "Unlicense" ]
null
null
null
hanibal/ans_reporte/crear_informe_orden_pago_excel.py
Christian-Castro/castro_odoo8
8247fdb20aa39e043b6fa0c4d0af509462ab3e00
[ "Unlicense" ]
null
null
null
hanibal/ans_reporte/crear_informe_orden_pago_excel.py
Christian-Castro/castro_odoo8
8247fdb20aa39e043b6fa0c4d0af509462ab3e00
[ "Unlicense" ]
null
null
null
# -*- coding: utf-8 -*- import openpyxl from openpyxl import Workbook import openpyxl.worksheet import unicodedata from copy import deepcopy from openpyxl.chart import ( Reference, Series, BarChart ) from openpyxl.chart.marker import DataPoint from openpyxl.drawing.fill import PatternFillProperties, ColorCh...
40.492481
140
0.642977
2,910
21,542
4.664261
0.078351
0.04229
0.091505
0.107419
0.92102
0.92102
0.912252
0.912252
0.912252
0.912252
0
0.028911
0.163448
21,542
531
141
40.568738
0.724266
0.056587
0
0.881517
0
0
0.130955
0
0
0
0
0
0
1
0.021327
false
0
0.035545
0
0.066351
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
7a37c50e10d0df75ac16aa637a34d516b3dd4403
120
py
Python
olpxek_bot/cogs/__init__.py
kexplo/olpxek-bot
d4ec11d97ea906651a2df225081f33a235e9bd65
[ "MIT" ]
7
2020-08-18T22:07:24.000Z
2022-01-01T07:32:20.000Z
olpxek_bot/cogs/__init__.py
kexplo/olpxek_bot
2fe5352ab1e584f877ba5445ff5af2d179c9b2c8
[ "MIT" ]
null
null
null
olpxek_bot/cogs/__init__.py
kexplo/olpxek_bot
2fe5352ab1e584f877ba5445ff5af2d179c9b2c8
[ "MIT" ]
null
null
null
from olpxek_bot.cogs.finance import FinanceCog from olpxek_bot.cogs.py import PyCog __all__ = ["FinanceCog", "PyCog"]
20
46
0.783333
17
120
5.176471
0.588235
0.227273
0.295455
0.386364
0
0
0
0
0
0
0
0
0.116667
120
5
47
24
0.830189
0
0
0
0
0
0.125
0
0
0
0
0
0
1
0
false
0
0.666667
0
0.666667
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
0
0
7
7a8163b45e947b87b03c39c6279a130a163164b7
1,608
py
Python
lx_test/test_data.py
lxjlu/highway-env
b360ed3f4f7fca950294c82b04c55464624d5626
[ "MIT" ]
null
null
null
lx_test/test_data.py
lxjlu/highway-env
b360ed3f4f7fca950294c82b04c55464624d5626
[ "MIT" ]
null
null
null
lx_test/test_data.py
lxjlu/highway-env
b360ed3f4f7fca950294c82b04c55464624d5626
[ "MIT" ]
null
null
null
import gym import highway_env import time import pprint import matplotlib.pyplot as plt """ # 直线 v_lane_id = ("a", "b", 1) v_target_id = ("a", "b", 0) x = 100.0 y = 0.0 h = 0.0 s = 10.0 target_s = 20.0 env = gym.make("myenv-c1-v0") env.config["v_lane_id"] = v_lane_id env.config["v_target_id"] = v_target_id env.config[...
22.333333
51
0.668532
308
1,608
3.275974
0.178571
0.258672
0.138751
0.047572
0.808722
0.808722
0.808722
0.808722
0.808722
0.808722
0
0.038905
0.136816
1,608
71
52
22.647887
0.68804
0.009328
0
0
0
0
0.170286
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.142857
0.028571
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8fb0b79b8c69cb4e341e064aaeb00d8905f30df2
125
py
Python
exception/argument_not_instance_of_exception.py
joaoteixeira88/pyguard
e9bdcb58034fd0db254121f71ac9bd76c7dec973
[ "MIT" ]
2
2021-03-11T22:09:40.000Z
2022-01-09T16:16:43.000Z
exception/argument_not_instance_of_exception.py
joaoteixeira88/pyguard
e9bdcb58034fd0db254121f71ac9bd76c7dec973
[ "MIT" ]
3
2021-03-11T08:20:43.000Z
2021-03-30T07:34:38.000Z
exception/argument_not_instance_of_exception.py
joaoteixeira88/python-guard
e9bdcb58034fd0db254121f71ac9bd76c7dec973
[ "MIT" ]
null
null
null
from exception.base_exception import BaseGuardException class ArgumentNotInstanceOfException(BaseGuardException): pass
20.833333
57
0.864
10
125
10.7
0.8
0
0
0
0
0
0
0
0
0
0
0
0.104
125
5
58
25
0.955357
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0.333333
0.333333
0
0.666667
0
1
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
1
1
0
1
0
0
7
8ff4604fc29bc4f2e89f58b37098b2cb0aeb5085
68,496
py
Python
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_rr/cmp_bzip2/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_rr/cmp_bzip2/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_rr/cmp_bzip2/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate...
74.940919
124
0.681558
8,082
68,496
5.770354
0.064464
0.123853
0.113217
0.093662
0.943563
0.935672
0.922249
0.897826
0.869307
0.850566
0
0.130101
0.224699
68,496
914
125
74.940919
0.748084
0
0
0.664114
0
0
0.658496
0.048177
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
64f8d1d8f46c3ae075198a6f1e9a1ed15be8949c
968
py
Python
tests/usecase/test_deprecations.py
pommi/cf-mendix-buildpack
26bfa2aeb94edcb2974e717d18628d2e59fc30ad
[ "Apache-2.0" ]
null
null
null
tests/usecase/test_deprecations.py
pommi/cf-mendix-buildpack
26bfa2aeb94edcb2974e717d18628d2e59fc30ad
[ "Apache-2.0" ]
null
null
null
tests/usecase/test_deprecations.py
pommi/cf-mendix-buildpack
26bfa2aeb94edcb2974e717d18628d2e59fc30ad
[ "Apache-2.0" ]
null
null
null
import basetest class TestCaseDeprecationMx5MPK(basetest.BaseTest): def setUp(self): super().setUp() self.setUpCF( "mx5.3.2_app.mpk", env_vars={ "DEPLOY_PASSWORD": self.mx_password, "DEVELOPMENT_MODE": True, }, ) def ...
25.473684
55
0.559917
102
968
5.078431
0.401961
0.069498
0.073359
0.092664
0.833977
0.833977
0.833977
0.833977
0.833977
0.833977
0
0.018868
0.342975
968
37
56
26.162162
0.795597
0
0
0.580645
0
0
0.179752
0
0
0
0
0
0.064516
1
0.129032
false
0.064516
0.032258
0
0.225806
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
7
64fc04fa72c055c888cc6c2e06ad02b2964a1c0f
472
py
Python
pypy/module/_string/formatter.py
yxzoro/pypy
6e47b3d3e5513d9639a21554963a6ace172ccfee
[ "Apache-2.0", "OpenSSL" ]
null
null
null
pypy/module/_string/formatter.py
yxzoro/pypy
6e47b3d3e5513d9639a21554963a6ace172ccfee
[ "Apache-2.0", "OpenSSL" ]
null
null
null
pypy/module/_string/formatter.py
yxzoro/pypy
6e47b3d3e5513d9639a21554963a6ace172ccfee
[ "Apache-2.0", "OpenSSL" ]
null
null
null
def formatter_parser(space, w_unicode): from pypy.objspace.std.newformat import unicode_template_formatter tformat = unicode_template_formatter(space, space.unicode_w(w_unicode)) return tformat.formatter_parser() def formatter_field_name_split(space, w_unicode): from pypy.objspace.std.newformat import ...
42.909091
75
0.817797
62
472
5.870968
0.290323
0.087912
0.263736
0.093407
0.824176
0.824176
0.824176
0.824176
0.824176
0.824176
0
0
0.110169
472
10
76
47.2
0.866667
0
0
0.5
0
0
0
0
0
0
0
0
0
1
0.25
false
0
0.25
0
0.75
0
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
9
64fd8657213ab2da2c5e7df1c8f28209f10849ca
2,545
py
Python
tests/test_layers_gdn.py
tallamjr/NeuralCompression
21d05ec0d9f8c52d8742fde36f569b4dad2842a5
[ "MIT" ]
233
2021-07-19T18:50:21.000Z
2022-03-30T22:06:40.000Z
tests/test_layers_gdn.py
tallamjr/NeuralCompression
21d05ec0d9f8c52d8742fde36f569b4dad2842a5
[ "MIT" ]
79
2021-07-22T13:33:45.000Z
2022-02-09T16:38:42.000Z
tests/test_layers_gdn.py
tallamjr/NeuralCompression
21d05ec0d9f8c52d8742fde36f569b4dad2842a5
[ "MIT" ]
21
2021-07-29T18:27:59.000Z
2022-02-28T02:32:53.000Z
# Copyright (c) Meta Platforms, Inc. and affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import pytest import torch from neuralcompression.layers import SimplifiedGDN, SimplifiedInverseGDN @pytest.mark.parametrize( "shape"...
27.074468
79
0.656582
365
2,545
4.512329
0.232877
0.054645
0.068002
0.063145
0.863388
0.823315
0.823315
0.823315
0.823315
0.823315
0
0.052088
0.200393
2,545
93
80
27.365591
0.757248
0.166601
0
0.721311
0
0
0.009479
0
0
0
0
0
0.131148
1
0.065574
false
0
0.04918
0
0.114754
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
8f7b91660a2d5e48d2cdbaefa23bd0e0d138c04b
4,752
py
Python
play_sound.py
dareekun/mybell
76bd61d8e7314276f5a5835d8950b13773c89456
[ "MIT" ]
null
null
null
play_sound.py
dareekun/mybell
76bd61d8e7314276f5a5835d8950b13773c89456
[ "MIT" ]
null
null
null
play_sound.py
dareekun/mybell
76bd61d8e7314276f5a5835d8950b13773c89456
[ "MIT" ]
null
null
null
# PLAY_sound # play bell sound # the pygame library is used as it is more compatible with the raspberry pi's sound output import pygame from tkinter import * import time def PLAY_1(): pygame.init() pygame.mixer.init() pygame.mixer.music.load("/home/pi/public/sound/1.ogg") pygame.mixer.music.play() ...
39.272727
97
0.694865
722
4,752
4.530471
0.083102
0.104249
0.146744
0.096301
0.931519
0.931519
0.931519
0.931519
0.752675
0.740141
0
0.023889
0.180766
4,752
120
98
39.6
0.816337
0.40362
0
0.478723
0
0
0.255
0.146786
0
0
0
0
0
1
0.159574
true
0
0.031915
0
0.191489
0.159574
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
7
710575e9bb6e00a53d6fd173d769767580e1864f
223,512
py
Python
trait_browser/management/commands/test_import_db.py
UW-GAC/pie
89ae277f5ba1357580d78c3527f26200686308a6
[ "MIT" ]
null
null
null
trait_browser/management/commands/test_import_db.py
UW-GAC/pie
89ae277f5ba1357580d78c3527f26200686308a6
[ "MIT" ]
3
2020-01-02T20:17:06.000Z
2020-01-04T21:13:09.000Z
trait_browser/management/commands/test_import_db.py
UW-GAC/pie
89ae277f5ba1357580d78c3527f26200686308a6
[ "MIT" ]
1
2021-10-29T22:15:27.000Z
2021-10-29T22:15:27.000Z
"""Test the classes and functions in the populate_source_traits management command. This test module won't run with the usual Django test command, because it's in an unusual location. Instead, you must specify the path containing this test module to get these tests to run. Usage: ./manage.py test trait_browser/manage...
55.2837
154
0.677919
28,104
223,512
5.076502
0.028644
0.025177
0.022457
0.021574
0.85758
0.826369
0.798689
0.781713
0.769468
0.757615
0
0.008617
0.22376
223,512
4,042
155
55.297378
0.813693
0.168362
0
0.732847
0
0.000331
0.122504
0.041252
0.001326
0
0
0.000247
0.09115
1
0.053696
false
0.000663
0.053033
0
0.115015
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
71107c9dd33dfd5408c87690cd80285a19ddd011
101
py
Python
datasets/__init__.py
bigvideoresearch/SCC
f26cdb6aaf248b5112812dbdac1f1b5086aebccc
[ "MIT" ]
5
2021-09-15T21:48:55.000Z
2022-03-22T11:21:58.000Z
datasets/__init__.py
bigvideoresearch/SCC
f26cdb6aaf248b5112812dbdac1f1b5086aebccc
[ "MIT" ]
null
null
null
datasets/__init__.py
bigvideoresearch/SCC
f26cdb6aaf248b5112812dbdac1f1b5086aebccc
[ "MIT" ]
1
2021-08-20T08:40:15.000Z
2021-08-20T08:40:15.000Z
from .imagename_dataset import * from .online_labeler_dataset import * from .pseudo_dataset import *
25.25
37
0.821782
13
101
6.076923
0.538462
0.493671
0.43038
0
0
0
0
0
0
0
0
0
0.118812
101
3
38
33.666667
0.88764
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
7117f93b498f378ecee7b37deabe0485e5cfbf46
4,643
py
Python
yaojikai/mypant/enemy.py
python20180319howmework/homework
c826d7aa4c52f8d22f739feb134d20f0b2c217cd
[ "Apache-2.0" ]
null
null
null
yaojikai/mypant/enemy.py
python20180319howmework/homework
c826d7aa4c52f8d22f739feb134d20f0b2c217cd
[ "Apache-2.0" ]
null
null
null
yaojikai/mypant/enemy.py
python20180319howmework/homework
c826d7aa4c52f8d22f739feb134d20f0b2c217cd
[ "Apache-2.0" ]
null
null
null
import pygame from random import * class SmallEnemy(pygame.sprite.Sprite): def __init__(self, screen): pygame.sprite.Sprite.__init__(self) self.image = pygame.image.load("./images/enemy1.png").convert_alpha() self.destroy_images = [] self.destroy_images.extend([\ pygame...
37.747967
85
0.571398
547
4,643
4.711152
0.115174
0.083818
0.116414
0.16298
0.922002
0.864571
0.854094
0.854094
0.640667
0.615056
0
0.025316
0.285376
4,643
122
86
38.057377
0.751356
0
0
0.705882
0
0
0.103039
0.094848
0
0
0
0
0
1
0.088235
false
0
0.019608
0
0.156863
0
0
0
0
null
0
0
1
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
713a5c5920a183561878da2a9dd5b20faae575fc
94
py
Python
contrib/EzTemplate/Lib/__init__.py
xylar/cdat
8a5080cb18febfde365efc96147e25f51494a2bf
[ "BSD-3-Clause" ]
62
2018-03-30T15:46:56.000Z
2021-12-08T23:30:24.000Z
contrib/EzTemplate/Lib/__init__.py
xylar/cdat
8a5080cb18febfde365efc96147e25f51494a2bf
[ "BSD-3-Clause" ]
114
2018-03-21T01:12:43.000Z
2021-07-05T12:29:54.000Z
contrib/EzTemplate/Lib/__init__.py
CDAT/uvcdat
5133560c0c049b5c93ee321ba0af494253b44f91
[ "BSD-3-Clause" ]
14
2018-06-06T02:42:47.000Z
2021-11-26T03:27:00.000Z
import vcsaddons from vcsaddons.EzTemplate import Multi from vcsaddons.EzTemplate import oneD
23.5
38
0.87234
12
94
6.833333
0.5
0.317073
0.560976
0.707317
0
0
0
0
0
0
0
0
0.106383
94
3
39
31.333333
0.97619
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
713abef86742a93710bac0615051c03ee515948d
263
py
Python
lib/yamlfuture/xxx.py
yaml/pyyaml-future
289983cbe8ffc49540fe2c02b2f118a46629146b
[ "MIT" ]
1
2021-07-06T03:29:11.000Z
2021-07-06T03:29:11.000Z
lib/yamlfuture/xxx.py
yaml/pyyaml-future
289983cbe8ffc49540fe2c02b2f118a46629146b
[ "MIT" ]
null
null
null
lib/yamlfuture/xxx.py
yaml/pyyaml-future
289983cbe8ffc49540fe2c02b2f118a46629146b
[ "MIT" ]
null
null
null
def YYY(o): import yaml print(yaml.dump(o, explicit_start=True, explicit_end=True, sort_keys=False)) return o def XXX(o): import yaml print(yaml.dump(o, explicit_start=True, explicit_end=True, sort_keys=False)) import sys sys.exit(1)
23.909091
80
0.692015
43
263
4.093023
0.44186
0.079545
0.125
0.181818
0.795455
0.795455
0.795455
0.795455
0.795455
0.795455
0
0.004695
0.190114
263
10
81
26.3
0.821596
0
0
0.444444
0
0
0
0
0
0
0
0
0
1
0.222222
false
0
0.333333
0
0.666667
0.222222
0
0
0
null
0
0
1
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
1
0
0
0
0
8
a47afe6fa23b216f1b075eec5abffcc93b31f12e
217
py
Python
output/models/ms_data/identity_constraint/id_f029_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
1
2021-08-14T17:59:21.000Z
2021-08-14T17:59:21.000Z
output/models/ms_data/identity_constraint/id_f029_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
4
2020-02-12T21:30:44.000Z
2020-04-15T20:06:46.000Z
output/models/ms_data/identity_constraint/id_f029_xsd/__init__.py
tefra/xsdata-w3c-tests
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
[ "MIT" ]
null
null
null
from output.models.ms_data.identity_constraint.id_f029_xsd.id_f029 import ( Root, T, ) from output.models.ms_data.identity_constraint.id_f029_xsd.id_f029a import R __all__ = [ "Root", "T", "R", ]
18.083333
76
0.700461
33
217
4.181818
0.484848
0.130435
0.231884
0.26087
0.73913
0.73913
0.73913
0.73913
0.73913
0.73913
0
0.067416
0.179724
217
11
77
19.727273
0.707865
0
0
0
0
0
0.02765
0
0
0
0
0
0
1
0
false
0
0.2
0
0.2
0
0
0
0
null
0
1
1
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
a4a684080fa89a37c94e50538abe492660a03f8b
3,312
py
Python
tests/test_profiler.py
lizeyan/pyprof
d33168594ffabc628636858ae3873d092b2ba9e7
[ "MIT" ]
6
2021-07-11T16:01:01.000Z
2022-02-10T05:59:30.000Z
tests/test_profiler.py
lizeyan/pyprof
d33168594ffabc628636858ae3873d092b2ba9e7
[ "MIT" ]
null
null
null
tests/test_profiler.py
lizeyan/pyprof
d33168594ffabc628636858ae3873d092b2ba9e7
[ "MIT" ]
null
null
null
import random # noinspection PyProtectedMember import time import numpy as np from concurrent.futures import ThreadPoolExecutor from pyprof import clean, Profiler, report from .test_utils import close def test_snippet_context_manager(): clean() # noinspection PyProtectedMember from pyprof.pyprof import _...
32.470588
72
0.608092
462
3,312
4.244589
0.179654
0.048955
0.066293
0.069352
0.803672
0.803672
0.803672
0.803672
0.803672
0.803672
0
0.057526
0.233696
3,312
101
73
32.792079
0.71513
0.027778
0
0.758621
0
0
0.026741
0
0
0
0
0
0.505747
1
0.022989
false
0
0.091954
0
0.114943
0.045977
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
f105a4fdcb647f0f074bd85c14d8f39fa5c80b60
2,807
py
Python
tests/event/beforeafter/test_beforeafter.py
da-h/miniflask
d5e594153cca4ce4d30db01b1d06d05afa9e7aaa
[ "MIT" ]
5
2020-02-17T12:14:36.000Z
2020-02-27T12:09:05.000Z
tests/event/beforeafter/test_beforeafter.py
da-h/miniflask
d5e594153cca4ce4d30db01b1d06d05afa9e7aaa
[ "MIT" ]
69
2020-04-03T08:16:35.000Z
2021-12-21T15:46:29.000Z
tests/event/beforeafter/test_beforeafter.py
da-h/miniflask
d5e594153cca4ce4d30db01b1d06d05afa9e7aaa
[ "MIT" ]
1
2020-04-02T15:46:39.000Z
2020-04-02T15:46:39.000Z
from pathlib import Path import miniflask # noqa: E402 def test_beforeafter_setup(capsys): mf = miniflask.init( module_dirs=str(Path(__file__).parent / "modules"), debug=True ) mf.load("setup") mf.parse_args([]) captured = capsys.readouterr() mf.event.main() captured = cap...
25.288288
82
0.662985
334
2,807
5.386228
0.146707
0.093385
0.160089
0.070039
0.896609
0.856587
0.856587
0.856587
0.76876
0.76876
0
0.017723
0.195939
2,807
110
83
25.518182
0.779353
0.003563
0
0.765306
0
0
0.285868
0
0
0
0
0
0.061224
1
0.061224
false
0
0.020408
0
0.081633
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
f14cfdb772b4b909013a0dc01b721fafbd2e6547
40,919
py
Python
tests/test_tzolkin.py
Release-Candidate/tzolkin-calendar
6dc9722381adda22750988b09905d1da88fc1ed5
[ "MIT" ]
null
null
null
tests/test_tzolkin.py
Release-Candidate/tzolkin-calendar
6dc9722381adda22750988b09905d1da88fc1ed5
[ "MIT" ]
2
2021-03-23T21:59:05.000Z
2021-03-25T17:22:31.000Z
tests/test_tzolkin.py
Release-Candidate/tzolkin-calendar
6dc9722381adda22750988b09905d1da88fc1ed5
[ "MIT" ]
null
null
null
# SPDX-License-Identifier: MIT # Copyright (C) 2021 Roland Csaszar # # Project: tzolkin-calendar # File: test_tzolkin.py # Date: 21.Mar.2021 ############################################################################### """Test tzolkin module.""" from __future__ import annotations import datetime import py...
37.097915
86
0.549916
4,973
40,919
4.386688
0.037603
0.153381
0.20816
0.066422
0.889617
0.88187
0.87504
0.854412
0.844144
0.836489
0
0.191476
0.243139
40,919
1,102
87
37.131579
0.512916
0.031868
0
0.857143
0
0
0.202138
0
0
0
0
0
0.041247
1
0.024145
false
0
0.008048
0
0.032193
0.001006
0
0
0
null
0
1
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
74e30aa7b5127ad9c144ab287ebe19ae8353d417
6,979
py
Python
tests/analysis/test_anom_seq_model.py
kubajir/msticpy
7b319b71b191b5f75dcf9afd87492523a74b5ad7
[ "MIT" ]
820
2019-05-16T07:24:34.000Z
2022-03-31T09:18:10.000Z
tests/analysis/test_anom_seq_model.py
kubajir/msticpy
7b319b71b191b5f75dcf9afd87492523a74b5ad7
[ "MIT" ]
205
2019-06-24T19:24:19.000Z
2022-03-30T23:13:46.000Z
tests/analysis/test_anom_seq_model.py
kubajir/msticpy
7b319b71b191b5f75dcf9afd87492523a74b5ad7
[ "MIT" ]
171
2019-06-23T13:53:12.000Z
2022-03-29T18:22:46.000Z
import unittest from msticpy.analysis.anomalous_sequence.utils.data_structures import Cmd from msticpy.analysis.anomalous_sequence.model import Model from msticpy.common.exceptions import MsticpyException class TestModel(unittest.TestCase): def setUp(self) -> None: self.sessions1 = [ ["Set-Us...
39.88
87
0.64995
835
6,979
5.215569
0.100599
0.167164
0.183238
0.195408
0.876234
0.83031
0.770838
0.736625
0.6907
0.626177
0
0.00686
0.24803
6,979
174
88
40.109195
0.82298
0
0
0.529412
0
0
0.043846
0
0
0
0
0
0.405229
1
0.052288
false
0
0.026144
0
0.084967
0
0
0
0
null
0
1
1
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
74fef52e65af6b2e2da81eef2f283c35a83e60c8
408
py
Python
python/yt_videos_list/download/selenium_linux.py
Shail-Shouryya/automate_YouTube-Channel-Videos-List
b63bbebb7caacc5e99ebf5dc95387d505069953d
[ "Apache-2.0" ]
null
null
null
python/yt_videos_list/download/selenium_linux.py
Shail-Shouryya/automate_YouTube-Channel-Videos-List
b63bbebb7caacc5e99ebf5dc95387d505069953d
[ "Apache-2.0" ]
null
null
null
python/yt_videos_list/download/selenium_linux.py
Shail-Shouryya/automate_YouTube-Channel-Videos-List
b63bbebb7caacc5e99ebf5dc95387d505069953d
[ "Apache-2.0" ]
null
null
null
def verify_browser_exists(browser): raise RuntimeError('Browser detection and automatic selenium updates are not yet available for Linux distributions!\nPlease update your selenium driver manually.') def get_browser_version(browser): raise RuntimeError('Browser version detection and automatic selenium updates are not...
81.6
172
0.840686
53
408
6.396226
0.471698
0.070796
0.141593
0.182891
0.672566
0.672566
0.672566
0.672566
0.672566
0.672566
0
0
0.110294
408
4
173
102
0.933884
0
0
0
0
0.5
0.710784
0.107843
0
0
0
0
0
1
0.5
false
0
0
0
0.5
0
0
0
0
null
0
0
1
0
0
0
0
0
1
0
0
0
0
1
0
1
0
0
0
0
0
1
1
0
null
0
0
0
0
0
1
0
0
0
0
0
0
0
7
2d1021c32729a7a9fa5c037ceb56f6ed74e064c5
3,974
py
Python
supports/proxyPool/scrapy/RandomUserAgentMiddleware.py
LuckyNicky/pycrawler
4b3fe2f6e8e51f236d95a64a89a44199e4e97743
[ "Apache-2.0" ]
1
2020-04-02T17:03:39.000Z
2020-04-02T17:03:39.000Z
supports/proxyPool/scrapy/RandomUserAgentMiddleware.py
LuckyNicky/pycrawler
4b3fe2f6e8e51f236d95a64a89a44199e4e97743
[ "Apache-2.0" ]
null
null
null
supports/proxyPool/scrapy/RandomUserAgentMiddleware.py
LuckyNicky/pycrawler
4b3fe2f6e8e51f236d95a64a89a44199e4e97743
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # coding=utf-8 import random """ 随机更换 User-agent 的中间件 @Author monkey @Date 2017-12-16 """ class RandomUserAgentMiddleware(object): UserAgent_List = [ "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36", "Mozilla/5.0 (M...
68.517241
130
0.660795
709
3,974
3.686883
0.174894
0.082249
0.10329
0.176741
0.761285
0.731064
0.707728
0.690513
0.656465
0.603673
0
0.227148
0.1769
3,974
57
131
69.719298
0.571996
0.014092
0
0.047619
0
0.785714
0.811912
0
0
0
0
0
0
1
0.02381
false
0
0.02381
0
0.095238
0
0
0
0
null
0
0
1
0
1
1
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2d467aee6e6d0847d50d877cd5e31e2b59ed6f9c
13,206
py
Python
kme/models/text_featurenets.py
phineasng/FLAN
84c0fb7ea57d5730eb19fdaa25d705a4ec7490c9
[ "Apache-2.0" ]
null
null
null
kme/models/text_featurenets.py
phineasng/FLAN
84c0fb7ea57d5730eb19fdaa25d705a4ec7490c9
[ "Apache-2.0" ]
null
null
null
kme/models/text_featurenets.py
phineasng/FLAN
84c0fb7ea57d5730eb19fdaa25d705a4ec7490c9
[ "Apache-2.0" ]
null
null
null
import torch from torch import nn from kme.models.base import create_sinusoidal_positional_embeddings from kme.data.text_classification import PAD_TOKEN from kme.models.base import FeatureNetBase class TextFeatNet1(FeatureNetBase): """ Basic text feature network """ def __init__(self, emb_dim, latent...
34.752632
88
0.595184
1,686
13,206
4.297153
0.048043
0.052174
0.066253
0.034783
0.941891
0.929331
0.927674
0.926294
0.921187
0.912629
0
0.022146
0.292216
13,206
379
89
34.844327
0.752969
0.051567
0
0.826087
0
0
0.002182
0
0
0
0
0
0
1
0.065217
false
0
0.018116
0
0.148551
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
740f279d3f1d871db45a018bda605fa7b5d1c1d4
43,523
py
Python
data/typing/pandas.core.indexing.py
vfdev-5/python-record-api
006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b
[ "MIT" ]
null
null
null
data/typing/pandas.core.indexing.py
vfdev-5/python-record-api
006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b
[ "MIT" ]
null
null
null
data/typing/pandas.core.indexing.py
vfdev-5/python-record-api
006faf0bba9cd4cb55fbacc13d2bbda365f5bf0b
[ "MIT" ]
null
null
null
from typing import * class IndexingError: pass class _LocIndexer: @overload def __getitem__(self, _0: cftime._cftime.DatetimeNoLeap, /): """ usage.xarray: 2 """ ... @overload def __getitem__(self, _0: Literal["0001"], /): """ usage.xarray: 2 ...
20.844349
88
0.428417
3,965
43,523
4.374023
0.029004
0.071499
0.194545
0.208441
0.936574
0.924869
0.896442
0.889581
0.882373
0.862884
0
0.02739
0.383429
43,523
2,087
89
20.854336
0.618893
0.089769
0
0.788641
0
0
0.023301
0
0
0
0
0
0
1
0.230912
true
0.000931
0.000931
0
0.234637
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
1
1
0
0
0
0
0
0
11
7416ebb11958aa383b7967ee2befb60d71e48d24
7,278
py
Python
rl_bakery/operation/test_train_agent_operation.py
pzhongp/rl-bakery
cf0887be7ca424ed81b48e5f9a304d9c6b201fe2
[ "Apache-2.0" ]
null
null
null
rl_bakery/operation/test_train_agent_operation.py
pzhongp/rl-bakery
cf0887be7ca424ed81b48e5f9a304d9c6b201fe2
[ "Apache-2.0" ]
null
null
null
rl_bakery/operation/test_train_agent_operation.py
pzhongp/rl-bakery
cf0887be7ca424ed81b48e5f9a304d9c6b201fe2
[ "Apache-2.0" ]
null
null
null
from rl_bakery.applications.tf_rl_application import MockRLApplication from rl_bakery.data_manager.data_manager import DATANAME from rl_bakery.engine.abstract_engine_config import MockEngineConfig from rl_bakery.operation.train_agent_operation import TrainAgentOperation from rl_bakery.replay_buffer.replay_buffer_abstra...
40.209945
103
0.676972
916
7,278
4.946507
0.124454
0.043699
0.039726
0.026264
0.874862
0.874862
0.868241
0.868241
0.868241
0.868241
0
0.011828
0.233306
7,278
180
104
40.433333
0.800179
0
0
0.813793
0
0
0.110745
0.05496
0
0
0
0
0.110345
1
0.068966
false
0.013793
0.055172
0
0.193103
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
744c73982afb7700b93319a1589e8c024c0bf543
198
py
Python
src/labster/infrastructure/repositories/inmemory/__init__.py
jean3108/labandco
4317e7d3875f10d76076ad5fc68c1ba3c12badba
[ "Apache-2.0" ]
2
2019-11-11T22:09:58.000Z
2020-01-20T19:44:30.000Z
src/labster/infrastructure/repositories/inmemory/__init__.py
jean3108/labandco
4317e7d3875f10d76076ad5fc68c1ba3c12badba
[ "Apache-2.0" ]
15
2020-03-31T10:58:37.000Z
2022-01-22T09:14:49.000Z
src/labster/infrastructure/repositories/inmemory/__init__.py
jean3108/labandco
4317e7d3875f10d76076ad5fc68c1ba3c12badba
[ "Apache-2.0" ]
2
2021-05-28T12:20:24.000Z
2021-09-08T11:27:57.000Z
# from __future__ import annotations # # from .profile_repository import InmemoryProfileRepository # from .structure_repository import InmemoryStructureRepository from __future__ import annotations
33
63
0.868687
18
198
9
0.5
0.123457
0.197531
0.333333
0
0
0
0
0
0
0
0
0.10101
198
5
64
39.6
0.910112
0.777778
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
77e052f8b073c4eb8e980c0f4fb54d4aea432c11
1,733
py
Python
old/Data/Map.py
emeric254/ISOT
51011da320eed6d9092e93e9ba4838ff84e62e86
[ "MIT" ]
1
2015-01-13T16:23:20.000Z
2015-01-13T16:23:20.000Z
old/Data/Map.py
emeric254/ISOT
51011da320eed6d9092e93e9ba4838ff84e62e86
[ "MIT" ]
null
null
null
old/Data/Map.py
emeric254/ISOT
51011da320eed6d9092e93e9ba4838ff84e62e86
[ "MIT" ]
null
null
null
import Data.Utils class Map: """Map """ def __init__(self): """Initialize""" self.carte = [ [ [Data.Utils.load_image("cube.png", -1), Data.Utils.load_image("cube.png", -1), Data.Utils.load_image("cube.png", -1), Data.Utils.load_image("cube.png", -1)], ...
46.837838
173
0.507213
226
1,733
3.725664
0.079646
0.320665
0.447743
0.619952
0.900238
0.900238
0.900238
0.900238
0.900238
0.900238
0
0.026549
0.282747
1,733
36
174
48.138889
0.650845
0.008656
0
0.580645
0
0
0.135911
0
0
0
0
0
0
1
0.064516
false
0
0.032258
0.032258
0.16129
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
bb057347f8a3b12e9881e357c11f74ff4b9687af
3,014
py
Python
tests/utils/test_VectorRecipeParser.py
ankitshah009/dcase_util
738571ce78faf60b0fdfa1d59fd42f42c8944f3d
[ "MIT" ]
122
2017-11-10T16:51:04.000Z
2022-03-28T07:04:34.000Z
tests/utils/test_VectorRecipeParser.py
gpinyero/dcase_util
298b2db13a2ffce7791f4de9d374616793564816
[ "MIT" ]
18
2018-03-29T01:14:35.000Z
2022-03-30T11:21:17.000Z
tests/utils/test_VectorRecipeParser.py
gpinyero/dcase_util
298b2db13a2ffce7791f4de9d374616793564816
[ "MIT" ]
39
2017-11-16T14:34:26.000Z
2022-03-27T06:27:52.000Z
""" Unit tests for VectorRecipeParser """ import nose.tools from dcase_util.utils import VectorRecipeParser def test_parse(): parser = VectorRecipeParser() # Test #1 test_recipe = 'mel' parsed_recipe = parser.parse(recipe=test_recipe) # correct amount of items nose.tools.eq_(len(parsed_rec...
33.865169
90
0.668547
433
3,014
4.468822
0.120092
0.223256
0.170543
0.219638
0.842377
0.829974
0.817571
0.817571
0.810336
0.766408
0
0.025088
0.153616
3,014
88
91
34.25
0.733438
0.139681
0
0.6
0
0
0.176356
0
0
0
0
0
0.022222
1
0.022222
false
0
0.044444
0
0.066667
0
0
0
0
null
1
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
bb1b6b88309bc5b257921790116928044e5cf2f8
68
py
Python
tests-example/now.py
saada/tilt-example-nodejs
a2c58ea65dd40f50903bded3f22b9fd36a91bc15
[ "Apache-2.0" ]
10
2021-03-30T12:36:46.000Z
2022-01-02T22:25:40.000Z
tests-example/now.py
saada/tilt-example-nodejs
a2c58ea65dd40f50903bded3f22b9fd36a91bc15
[ "Apache-2.0" ]
3
2020-08-28T17:15:49.000Z
2021-06-10T22:10:53.000Z
tests-example/now.py
saada/tilt-example-nodejs
a2c58ea65dd40f50903bded3f22b9fd36a91bc15
[ "Apache-2.0" ]
8
2020-08-15T03:10:52.000Z
2021-09-15T10:53:16.000Z
import time print("%d" % (float(time.time()) * 1000 * 1000 * 1000))
22.666667
55
0.602941
10
68
4.1
0.6
0.390244
0
0
0
0
0
0
0
0
0
0.210526
0.161765
68
3
55
22.666667
0.508772
0
0
0
0
0
0.028986
0
0
0
0
0
0
1
0
true
0
0.5
0
0.5
0.5
1
0
0
null
1
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
0
1
0
7
bb4d8e87cff8a60a7cef20e90f630478125e1e6b
22,329
py
Python
tests/expected/RSA2048_3certs.py
castrapel/pyjks
f32dd209437f748949053be70f57ab1e80b5a7e3
[ "MIT" ]
92
2016-10-03T07:54:39.000Z
2022-03-29T00:38:45.000Z
tests/expected/RSA2048_3certs.py
castrapel/pyjks
f32dd209437f748949053be70f57ab1e80b5a7e3
[ "MIT" ]
46
2016-09-09T03:13:40.000Z
2022-03-10T22:54:12.000Z
tests/expected/RSA2048_3certs.py
castrapel/pyjks
f32dd209437f748949053be70f57ab1e80b5a7e3
[ "MIT" ]
30
2016-10-07T16:12:11.000Z
2022-02-04T21:34:03.000Z
public_key = b"\x30\x82\x01\x22\x30\x0d\x06\x09\x2a\x86\x48\x86\xf7\x0d\x01\x01\x01\x05\x00\x03\x82\x01\x0f\x00\x30\x82\x01\x0a\x02\x82\x01\x01" + \ b"\x00\xc0\x86\x99\x9a\x76\x74\x9a\xf5\x04\xb8\x48\xf0\x7e\x67\xc3\x90\x51\x17\xe6\xcd\xb3\x97\x6b\x41\xbc\x4e\x4e\x0c\x30\xff\x57" + \ b"\xf1\x4...
144.993506
153
0.652649
4,954
22,329
2.940856
0.052887
0.010708
0.007413
0.009884
0.83156
0.83156
0.754067
0.754067
0.754067
0.754067
0
0.319315
0.105468
22,329
153
154
145.941176
0.410083
0
0
0.248366
0
0.980392
0.858614
0.858435
0
1
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
1
1
0
0
0
0
1
1
1
null
1
0
0
0
0
0
0
0
0
0
0
0
0
13
2475732e2a87ac11704ba2758df551c5ba82b68a
64
py
Python
Python/1. Introduction/03 - Arithmetic Operators.py
rosiejh/HackerRank
bfb07b8add04d3f3b67a61754db483f88a79e5a5
[ "Apache-2.0" ]
null
null
null
Python/1. Introduction/03 - Arithmetic Operators.py
rosiejh/HackerRank
bfb07b8add04d3f3b67a61754db483f88a79e5a5
[ "Apache-2.0" ]
null
null
null
Python/1. Introduction/03 - Arithmetic Operators.py
rosiejh/HackerRank
bfb07b8add04d3f3b67a61754db483f88a79e5a5
[ "Apache-2.0" ]
null
null
null
a, b = int(input()), int(input()) print(a+b, a-b, a*b, sep='\n')
32
33
0.515625
15
64
2.2
0.466667
0.242424
0.181818
0.242424
0
0
0
0
0
0
0
0
0.125
64
2
34
32
0.589286
0
0
0
0
0
0.030769
0
0
0
0
0
0
1
0
true
0
0
0
0
0.5
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
7
24bcbe1dcf936db362fb7408a9568d35cc6c7f87
3,049
py
Python
src/cli/options/docker_repository_options.py
SimonDudanski/integration-test-docker-environment
3ea81172248f770596d81ff378772677ab5656ea
[ "MIT" ]
4
2020-06-25T20:47:31.000Z
2021-09-10T15:22:51.000Z
src/cli/options/docker_repository_options.py
SimonDudanski/integration-test-docker-environment
3ea81172248f770596d81ff378772677ab5656ea
[ "MIT" ]
113
2020-06-02T08:51:08.000Z
2022-03-31T08:47:41.000Z
src/cli/options/docker_repository_options.py
SimonDudanski/integration-test-docker-environment
3ea81172248f770596d81ff378772677ab5656ea
[ "MIT" ]
2
2020-05-19T10:57:47.000Z
2020-06-22T13:32:20.000Z
import click docker_repository_options = [ click.option('--source-docker-repository-name', type=str, default="exasol/script-language-container", show_default=True, help="Name of the docker repository for pulling cached stages. " "The reposito...
57.528302
100
0.595933
344
3,049
5.25
0.162791
0.093023
0.065891
0.063123
0.894241
0.830011
0.830011
0.830011
0.830011
0.830011
0
0
0.309282
3,049
52
101
58.634615
0.85755
0
0
0.5
0
0
0.541817
0.157429
0
0
0
0
0
1
0
false
0.12
0.02
0
0.02
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
7
7009e1e9467c6a8e146408a6c67960d19e4dfc62
46
py
Python
tutorial4.py
camelCasedAdi/Python-Programming-Tutorials
65aa7092a90b3c0cad7b35584714570231305d37
[ "MIT" ]
null
null
null
tutorial4.py
camelCasedAdi/Python-Programming-Tutorials
65aa7092a90b3c0cad7b35584714570231305d37
[ "MIT" ]
null
null
null
tutorial4.py
camelCasedAdi/Python-Programming-Tutorials
65aa7092a90b3c0cad7b35584714570231305d37
[ "MIT" ]
null
null
null
print(15 != 15) print(10 > 11) print(10 > 9)
9.2
15
0.565217
9
46
2.888889
0.555556
0.538462
0
0
0
0
0
0
0
0
0
0.305556
0.217391
46
5
16
9.2
0.416667
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
1
0
null
1
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
8
7072c54759066c86ec241bb3f367a970099e43c9
111
py
Python
backend/ui-fulfillment/fulfillment_service/utils/tests.py
m0ps/gcp-fsi-design-pattern-ipre
391fc03c70bd7e2fb38605980d25e32ede6c7d27
[ "Apache-2.0" ]
7
2021-06-23T08:09:42.000Z
2022-01-16T05:17:07.000Z
backend/ui-fulfillment/fulfillment_service/utils/tests.py
skylinepro/gcp-fsi-design-pattern-ipre
7a933e742b29a4b1b9acde2c2a03ff29bf61e600
[ "Apache-2.0" ]
null
null
null
backend/ui-fulfillment/fulfillment_service/utils/tests.py
skylinepro/gcp-fsi-design-pattern-ipre
7a933e742b29a4b1b9acde2c2a03ff29bf61e600
[ "Apache-2.0" ]
3
2021-06-29T12:53:09.000Z
2021-12-14T01:34:50.000Z
def lists_equal(left, right, sort_by=None): return sorted(left, key=sort_by) == sorted(right, key=sort_by)
37
66
0.72973
19
111
4.052632
0.578947
0.233766
0.233766
0
0
0
0
0
0
0
0
0
0.126126
111
2
67
55.5
0.793814
0
0
0
0
0
0
0
0
0
0
0
0
1
0.5
false
0
0
0.5
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
7
56457c59734ae192bc859356095eadb6d1420e25
90
py
Python
rman/app/routes/api_0_0/rm_task/__init__.py
RockFeng0/rtsf-manager
e11458364ca004a7fdee8be801ada72ec3ac3ce2
[ "MIT" ]
null
null
null
rman/app/routes/api_0_0/rm_task/__init__.py
RockFeng0/rtsf-manager
e11458364ca004a7fdee8be801ada72ec3ac3ce2
[ "MIT" ]
null
null
null
rman/app/routes/api_0_0/rm_task/__init__.py
RockFeng0/rtsf-manager
e11458364ca004a7fdee8be801ada72ec3ac3ce2
[ "MIT" ]
1
2019-04-14T03:02:38.000Z
2019-04-14T03:02:38.000Z
from flask import Blueprint rm_task = Blueprint('rm_task', __name__) from . import views
18
40
0.777778
13
90
4.923077
0.615385
0.34375
0.46875
0
0
0
0
0
0
0
0
0
0.144444
90
4
41
22.5
0.831169
0
0
0
0
0
0.077778
0
0
0
0
0
0
1
0
false
0
0.666667
0
0.666667
0.666667
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
1
1
0
7
566f718ed13ef2ed3fa8587c240a2bce03b5b31f
2,186
py
Python
tests/test_q0203.py
mirzadm/ctci-5th-py
ba2f4de0aba4c7c04d7e0ddf3120ce312d9e5d66
[ "MIT" ]
null
null
null
tests/test_q0203.py
mirzadm/ctci-5th-py
ba2f4de0aba4c7c04d7e0ddf3120ce312d9e5d66
[ "MIT" ]
1
2018-07-04T23:10:20.000Z
2018-07-04T23:10:20.000Z
tests/test_q0203.py
mirzadm/ctci-5th-py
ba2f4de0aba4c7c04d7e0ddf3120ce312d9e5d66
[ "MIT" ]
null
null
null
"""Unit tests for q0203.py.""" import unittest from src.utils.linkedlist import LinkedList from src.q0203 import del_intermediate_node class TestDelIntermediateNode(unittest.TestCase): """Tests for del_intermediate_node.""" def test_del_intermediate_node(self): self.assertFalse(del_intermediate_node(...
35.258065
66
0.682983
290
2,186
4.768966
0.134483
0.245842
0.138829
0.156182
0.802603
0.761388
0.761388
0.733189
0.704266
0.644252
0
0.022016
0.21043
2,186
61
67
35.836066
0.779258
0.026075
0
0.75
0
0
0.003777
0
0
0
0
0
0.354167
1
0.020833
false
0
0.0625
0
0.104167
0
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
56829a15f0900b813742072c0108f7ebc58a24bc
88
py
Python
onmt/multiprocessing/__init__.py
esalesky/NMTGMinor
b6eafff21f5aabb874720e6df30cd6b91c339a7c
[ "MIT" ]
5
2020-05-25T01:11:51.000Z
2021-02-18T08:55:43.000Z
onmt/multiprocessing/__init__.py
esalesky/NMTGMinor
b6eafff21f5aabb874720e6df30cd6b91c339a7c
[ "MIT" ]
2
2021-09-14T03:18:12.000Z
2022-01-25T16:19:51.000Z
onmt/multiprocessing/__init__.py
esalesky/NMTGMinor
b6eafff21f5aabb874720e6df30cd6b91c339a7c
[ "MIT" ]
1
2019-09-15T17:22:58.000Z
2019-09-15T17:22:58.000Z
import onmt.multiprocessing.nccl import onmt.multiprocessing.multiprocessing_event_loop
29.333333
54
0.909091
10
88
7.8
0.6
0.25641
0.641026
0
0
0
0
0
0
0
0
0
0.045455
88
2
55
44
0.928571
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
8e61ca46fc6535192aee57d6709ffc9e282026bb
66
py
Python
fpgrowth_py/__init__.py
ablarry/fpgrowth_py
d7671ab87d885a5cbc79e6111a89620061351789
[ "MIT" ]
51
2020-10-25T19:12:35.000Z
2022-02-22T01:40:25.000Z
fpgrowth_py/__init__.py
ablarry/fpgrowth_py
d7671ab87d885a5cbc79e6111a89620061351789
[ "MIT" ]
4
2020-12-22T08:45:50.000Z
2021-09-12T08:53:27.000Z
fpgrowth_py/__init__.py
ablarry/fpgrowth_py
d7671ab87d885a5cbc79e6111a89620061351789
[ "MIT" ]
20
2020-12-01T12:59:14.000Z
2022-03-23T13:26:55.000Z
from fpgrowth_py.fpgrowth import * from fpgrowth_py.utils import *
33
34
0.833333
10
66
5.3
0.5
0.45283
0.528302
0
0
0
0
0
0
0
0
0
0.106061
66
2
35
33
0.898305
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
8ed0087f59bba1708d55020e336326c897c58410
5,721
py
Python
carball/analysis/constants/dropshot.py
unitedroguegg/carball
4767f2c5d195b7d5d60e6a5575415262803acef7
[ "Apache-2.0" ]
119
2018-09-14T02:14:19.000Z
2022-03-06T05:06:54.000Z
carball/analysis/constants/dropshot.py
unitedroguegg/carball
4767f2c5d195b7d5d60e6a5575415262803acef7
[ "Apache-2.0" ]
207
2018-09-06T18:53:06.000Z
2022-02-12T22:39:36.000Z
carball/analysis/constants/dropshot.py
unitedroguegg/carball
4767f2c5d195b7d5d60e6a5575415262803acef7
[ "Apache-2.0" ]
44
2018-09-10T16:54:13.000Z
2022-02-19T03:07:50.000Z
from typing import Optional, Tuple, List # taken from https://github.com/RLBot/RLBot/wiki/Dropshot TILE_DIAMETER = 886.82 CORE_707_TILES_POSITIONS = ( # BLUE (2304.0, -4117.4287109375, 2.5), (1536.0, -4117.4287109375, 2.5), (768.0, -4117.4287109375, 2.5), (-0.0, -4117.4287109375, 2.5), (-768....
33.852071
66
0.573152
921
5,721
3.539631
0.076004
0.08589
0.154601
0.132515
0.88773
0.88773
0.883742
0.882515
0.866564
0.866564
0
0.632595
0.194546
5,721
168
67
34.053571
0.07487
0.011711
0
0
0
0
0.004602
0
0
0
0
0
0
1
0.012821
false
0
0.00641
0.00641
0.044872
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
d96489b668cc30ed0c4974324fed7778390273e5
1,553
py
Python
tests/test_haproxy.py
markfink/korg
6a123031b69896f61fe0007f4a1d5f6f064b6ad9
[ "MIT" ]
null
null
null
tests/test_haproxy.py
markfink/korg
6a123031b69896f61fe0007f4a1d5f6f064b6ad9
[ "MIT" ]
2
2020-01-18T10:32:13.000Z
2020-01-18T10:34:17.000Z
tests/test_haproxy.py
markfink/korg
6a123031b69896f61fe0007f4a1d5f6f064b6ad9
[ "MIT" ]
null
null
null
from korg import LineGrokker, PatternRepo pr = PatternRepo() def test_haproxy(): lg = LineGrokker('%{HAPROXYHTTP}', pr) match = lg.grok('Dec 9 13:01:26 localhost haproxy[28029]: 127.0.0.1:39759 [09/Dec/2013:12:59:46.633] loadbalancer default/instance8 0/51536/1/48082/99627 200 83285 - - ---- 87/87/87/1/0 ...
41.972973
252
0.658081
254
1,553
3.968504
0.267717
0.152778
0.029762
0.035714
0.830357
0.830357
0.830357
0.756944
0.756944
0.756944
0
0.215103
0.155827
1,553
36
253
43.138889
0.553776
0
0
0.64
0
0.12
0.546684
0.10689
0
0
0
0
0.56
1
0.12
false
0
0.04
0
0.16
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
8
79a7db380cd793d775d8ec80c037549586a0af24
25,046
py
Python
baselines/her/her_sampler.py
ekwyss/baselines
3ee276fd3be5d330aaacaa3d478929ead4cb1d34
[ "MIT" ]
null
null
null
baselines/her/her_sampler.py
ekwyss/baselines
3ee276fd3be5d330aaacaa3d478929ead4cb1d34
[ "MIT" ]
null
null
null
baselines/her/her_sampler.py
ekwyss/baselines
3ee276fd3be5d330aaacaa3d478929ead4cb1d34
[ "MIT" ]
null
null
null
import numpy as np import pickle # TODO: have both sampler run on every episode and compare # also check place where it decides whether to update or not def make_sample_her_transitions(replay_strategy, replay_k, reward_fun, policy_index): """Creates a sample function that can be used for HER experience repla...
45.871795
161
0.61962
3,282
25,046
4.502438
0.085009
0.04507
0.025986
0.034242
0.971645
0.964539
0.956892
0.956892
0.956892
0.956892
0
0.008086
0.264314
25,046
545
162
45.955963
0.793878
0.82596
0
0.044444
0
0
0.00871
0
0
0
0
0.00367
0.022222
1
0.044444
false
0
0.044444
0
0.133333
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
79af0e8fdecfc8e568a82ab1b06855e242bc6b3a
135
py
Python
pyOSA/__init__.py
gregmoille/InstrumentControl
4cc8477e36f7c4ad4bf4f54036fdd8dd985b4133
[ "MIT" ]
3
2018-05-02T20:14:15.000Z
2020-10-18T03:57:09.000Z
pyOSA/__init__.py
gregmoille/InstrumentControl
4cc8477e36f7c4ad4bf4f54036fdd8dd985b4133
[ "MIT" ]
1
2019-05-23T15:21:08.000Z
2019-05-23T15:21:08.000Z
pyOSA/__init__.py
gregmoille/InstrumentControl
4cc8477e36f7c4ad4bf4f54036fdd8dd985b4133
[ "MIT" ]
2
2019-05-16T20:36:25.000Z
2020-09-22T18:26:49.000Z
from .yokogawa import Yokogawa # from .yokogawa import Yokogawa from ._ui_OSAjupyter import uiOSA from ._OSA_Jupyter import OSAjupyter
27
36
0.837037
18
135
6.055556
0.444444
0.220183
0.330275
0.477064
0.513761
0
0
0
0
0
0
0
0.125926
135
4
37
33.75
0.923729
0.222222
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
8
30e3518d8bdb2f1459aa3df9dd7436b0eee48297
29,516
py
Python
dataloaders.py
utcsilab/csgm-mri-langevin
91e0a5ac658feaf6460045706ef16dd140894374
[ "MIT" ]
32
2021-08-08T00:45:03.000Z
2022-03-16T08:26:42.000Z
dataloaders.py
d-dimos/csgm-mri-langevin
91e0a5ac658feaf6460045706ef16dd140894374
[ "MIT" ]
2
2021-11-18T17:59:48.000Z
2022-03-05T14:49:49.000Z
dataloaders.py
d-dimos/csgm-mri-langevin
91e0a5ac658feaf6460045706ef16dd140894374
[ "MIT" ]
4
2021-09-24T00:02:42.000Z
2022-03-25T00:07:36.000Z
from scipy.ndimage.interpolation import rotate,zoom from torch.utils.data import Dataset, DataLoader import glob import os import numpy as np import torch from tqdm import tqdm import h5py import sigpy as sp from utils import get_mvue import pickle as pkl from xml.etree import ElementTree as ET import sys class MVU...
38.734908
128
0.559527
3,869
29,516
4.095115
0.075989
0.024615
0.018935
0.025625
0.919149
0.899773
0.885256
0.874085
0.864681
0.84745
0
0.017085
0.329753
29,516
761
129
38.785808
0.783804
0.330838
0
0.776382
0
0
0.036089
0
0
0
0
0
0
1
0.055276
false
0
0.032663
0.012563
0.143216
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
30f4e51e9457320f48033005baae3d7aa65016b1
21,442
py
Python
test/transforms.py
DefTruth/landmarksaug
71d978a062e4a7c8fe90ca62c8dff109ea7718e7
[ "MIT" ]
56
2022-02-08T06:45:02.000Z
2022-03-27T14:03:08.000Z
test/transforms.py
DefTruth/pylandmarks
71d978a062e4a7c8fe90ca62c8dff109ea7718e7
[ "MIT" ]
9
2022-02-15T12:32:34.000Z
2022-03-31T14:12:06.000Z
test/transforms.py
DefTruth/pylandmarks
71d978a062e4a7c8fe90ca62c8dff109ea7718e7
[ "MIT" ]
8
2022-02-15T09:17:51.000Z
2022-03-27T14:03:08.000Z
import cv2 import numpy as np import torchvision # import albumentations from torch import Tensor from typing import Tuple import torchlm def callable_array_noop( img: np.ndarray, landmarks: np.ndarray ) -> Tuple[np.ndarray, np.ndarray]: # Do some transform here ... return img.astype(np.uint3...
34.752026
100
0.682725
2,843
21,442
4.931762
0.066479
0.05991
0.07988
0.049925
0.852935
0.827402
0.803937
0.797375
0.795806
0.795806
0
0.032434
0.18613
21,442
616
101
34.808442
0.771016
0.119345
0
0.765403
0
0
0.080143
0.043932
0
0
0
0
0
1
0.037915
false
0
0.014218
0.004739
0.056872
0.035545
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
a5034ae6f6a1d127e8a12fff5c192ed23781b96d
13,077
py
Python
tests/unit/data.py
a113n/bcbio-nextgen
1d4afef27ad2e84a4ecb6145ccc5058f2abb4616
[ "MIT" ]
418
2015-01-01T18:21:17.000Z
2018-03-02T07:26:28.000Z
tests/unit/data.py
ahmedelhosseiny/bcbio-nextgen
b5618f3c100a1a5c04bd5c8acad8f96d0587e41c
[ "MIT" ]
1,634
2015-01-04T11:43:43.000Z
2018-03-05T18:06:39.000Z
tests/unit/data.py
ahmedelhosseiny/bcbio-nextgen
b5618f3c100a1a5c04bd5c8acad8f96d0587e41c
[ "MIT" ]
218
2015-01-26T05:58:18.000Z
2018-03-03T05:50:05.000Z
NAMES = { 'lane': 'Test1', 'lb': None, 'pu': 'Test1', 'sample': 'Test1', 'rg': 'Test1', 'pl': 'illumina' } DATA = { 'files': [ '/bcbio-nextgen/tests/test_automated_output/trimmed/1_1_Test1.trimmed.fq.gz', '/bcbio-nextgen/tests/test_automated_output/trimmed/1_2_Test1.trimmed....
52.94332
145
0.522826
1,261
13,077
5.289453
0.164948
0.151124
0.214093
0.201499
0.832534
0.815292
0.795802
0.763418
0.763418
0.750225
0
0.040013
0.31391
13,077
246
146
53.158537
0.703411
0
0
0.438525
0
0.07377
0.57062
0.406668
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
a5103818918178054e89e2f1e45e4a4e9274ca84
986
py
Python
es_luigi/es_luigi.py
chrisheckler/pipeline_dev
3dbf40dc0865f5b96ac559e942b40060e9d83aba
[ "MIT" ]
null
null
null
es_luigi/es_luigi.py
chrisheckler/pipeline_dev
3dbf40dc0865f5b96ac559e942b40060e9d83aba
[ "MIT" ]
null
null
null
es_luigi/es_luigi.py
chrisheckler/pipeline_dev
3dbf40dc0865f5b96ac559e942b40060e9d83aba
[ "MIT" ]
1
2019-12-01T22:42:52.000Z
2019-12-01T22:42:52.000Z
#!/usr/bin/env python3 import luigi import json class Stage0(luigi.Task): input_file = luigi.Parameter() def requires(self): return def output(self): return def run(self): return class Stage1(luigi.Task): input_file = luigi.Parameter() def requires(self): ...
15.40625
34
0.570994
113
986
4.867257
0.230089
0.272727
0.236364
0.163636
0.836364
0.836364
0.836364
0.836364
0.836364
0.836364
0
0.009077
0.329615
986
63
35
15.650794
0.822995
0.021298
0
0.795455
0
0
0.008316
0
0
0
0
0
0
1
0.340909
false
0
0.045455
0.340909
0.954545
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
13
eb5ef5c9cd4af15d249d14b5c048fdeb73375c19
9,371
py
Python
tests/common/test_wrappers_bo_function.py
jungtaekkim/bayeso
d11c9ff8037cf7fd3f9b41362eaab120f1224c71
[ "MIT" ]
76
2018-01-18T03:03:14.000Z
2022-02-07T06:41:41.000Z
tests/common/test_wrappers_bo_function.py
POSTECH-CVLab/bayeso
d11c9ff8037cf7fd3f9b41362eaab120f1224c71
[ "MIT" ]
20
2018-06-29T16:48:03.000Z
2021-04-19T00:30:57.000Z
tests/common/test_wrappers_bo_function.py
POSTECH-CVLab/bayeso
d11c9ff8037cf7fd3f9b41362eaab120f1224c71
[ "MIT" ]
4
2020-01-07T06:24:17.000Z
2021-06-11T06:21:42.000Z
# # author: Jungtaek Kim (jtkim@postech.ac.kr) # last updated: July 9, 2021 # """test_wrappers_bo_function""" import typing import pytest import numpy as np from bayeso import bo from bayeso.wrappers import wrappers_bo_function as package_target def test_run_single_round_with_all_initial_information_typing(): a...
50.654054
180
0.74197
1,465
9,371
4.379522
0.060751
0.058915
0.091646
0.123441
0.956359
0.951995
0.946384
0.940461
0.922849
0.903834
0
0.014134
0.154413
9,371
184
181
50.929348
0.795558
0.010244
0
0.658385
0
0
0.033564
0.007123
0
0
0
0
0.521739
1
0.037267
false
0
0.031056
0
0.068323
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
7
eb8080ca016d89fd596bd2ca83cf64aee487c36e
16,248
py
Python
run_radiativetransfer.py
sukritranjan/ranjanwordsworthsasselov2016
bd5de2cb081b129bfd6b3b5bc173ca4e9ce7702b
[ "MIT" ]
1
2017-12-14T03:48:22.000Z
2017-12-14T03:48:22.000Z
run_radiativetransfer.py
sukritranjan/ranjanwordsworthsasselov2016
bd5de2cb081b129bfd6b3b5bc173ca4e9ce7702b
[ "MIT" ]
null
null
null
run_radiativetransfer.py
sukritranjan/ranjanwordsworthsasselov2016
bd5de2cb081b129bfd6b3b5bc173ca4e9ce7702b
[ "MIT" ]
null
null
null
# -*- coding: iso-8859-1 -*- """ Purpose of this file is to run the uv_radtrans function from radiativetransfer.py to generate the surface radiance calculations used to derive the results in our paper. This script: run for the Mars-approximate case (A=desert) """ import radiativetransfer as rt import numpy as np impo...
90.77095
797
0.730244
2,070
16,248
5.456522
0.11256
0.029748
0.02479
0.042851
0.845064
0.779371
0.772466
0.753431
0.745374
0.726605
0
0.081209
0.053422
16,248
178
798
91.280899
0.653186
0.186915
0
0.571429
1
0
0.340792
0.306487
0
0
0
0
0
1
0
false
0
0.042857
0
0.042857
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
eb8846485d7496b50877c22a79df52aca65d4286
580
py
Python
eval_covid20cases_timm-regnetx_002_ElasticTransform.py
BrunoKrinski/segtool
cb604b5f38104c43a76450136e37c3d1c4b6d275
[ "MIT" ]
null
null
null
eval_covid20cases_timm-regnetx_002_ElasticTransform.py
BrunoKrinski/segtool
cb604b5f38104c43a76450136e37c3d1c4b6d275
[ "MIT" ]
null
null
null
eval_covid20cases_timm-regnetx_002_ElasticTransform.py
BrunoKrinski/segtool
cb604b5f38104c43a76450136e37c3d1c4b6d275
[ "MIT" ]
null
null
null
import os ls=["python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_0_ElasticTransform.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_1_ElasticTransform.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_2_Elastic...
52.727273
110
0.856897
80
580
5.8375
0.3
0.107066
0.12848
0.203426
0.890792
0.890792
0.890792
0.890792
0.890792
0.890792
0
0.054645
0.053448
580
11
111
52.727273
0.795993
0
0
0
0
0
0.886403
0.671256
0
0
0
0
0
1
0
false
0
0.111111
0
0.111111
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
eba33faac807b8deddf2ba0e0ac4c8fe96fbf9a6
5,345
py
Python
tests/test_handler.py
delta-accelerator/channel_access.server
21a7707da1f3421ed38773095e577f48b798daac
[ "MIT" ]
null
null
null
tests/test_handler.py
delta-accelerator/channel_access.server
21a7707da1f3421ed38773095e577f48b798daac
[ "MIT" ]
null
null
null
tests/test_handler.py
delta-accelerator/channel_access.server
21a7707da1f3421ed38773095e577f48b798daac
[ "MIT" ]
null
null
null
import pytest import threading import channel_access.common as ca import channel_access.server as cas from . import common def test_write_handler(server): executed = False def handler(pv, value, timestamp, context): nonlocal executed executed = True return (value, timestamp) pv =...
26.859296
91
0.647521
640
5,345
5.326563
0.089063
0.049281
0.056322
0.066882
0.912878
0.897037
0.87973
0.86389
0.840422
0.812262
0
0.008376
0.240599
5,345
198
92
26.994949
0.831486
0
0
0.786585
0
0
0.041534
0
0
0
0
0
0.121951
1
0.164634
false
0
0.030488
0
0.262195
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
ccd97ab53b81dc4d98a325c48720219d74417d70
6,834
py
Python
tests/test_fritzhometemplate.py
mib1185/python-fritzhome
c0017738b365b4dea5a54d01add66fd606229cd2
[ "MIT" ]
33
2017-10-25T20:13:35.000Z
2022-03-27T09:21:19.000Z
tests/test_fritzhometemplate.py
mib1185/python-fritzhome
c0017738b365b4dea5a54d01add66fd606229cd2
[ "MIT" ]
49
2017-11-05T05:52:45.000Z
2022-03-27T09:21:04.000Z
tests/test_fritzhometemplate.py
mib1185/python-fritzhome
c0017738b365b4dea5a54d01add66fd606229cd2
[ "MIT" ]
33
2018-05-05T21:52:08.000Z
2022-03-27T08:24:00.000Z
#!/usr/bin/env python # -*- coding: utf-8 -*- from nose.tools import eq_, assert_true, assert_false from unittest.mock import MagicMock from .helper import Helper from pyfritzhome import Fritzhome class TestFritzhomeTemplate(object): def setup(self): self.mock = MagicMock() self.fritz = Fritzho...
40.678571
88
0.734416
811
6,834
5.762022
0.108508
0.250374
0.329339
0.416007
0.826664
0.804194
0.804194
0.795848
0.795848
0.677723
0
0.036856
0.190079
6,834
167
89
40.922156
0.807407
0.006146
0
0.604478
0
0
0.051694
0.003387
0
0
0
0
0.679104
1
0.097015
false
0.007463
0.029851
0
0.134328
0
0
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
10
ccdde8ac40fc96cfc99a746ebf4348c6e42984e0
2,496
py
Python
src/encoded/tests/test_audit_replicate.py
procha2/encoded
e9f122362b71f3b8641023b8d2d5ad531d3484b7
[ "MIT" ]
102
2015-05-20T01:17:43.000Z
2022-03-07T06:03:55.000Z
src/encoded/tests/test_audit_replicate.py
procha2/encoded
e9f122362b71f3b8641023b8d2d5ad531d3484b7
[ "MIT" ]
901
2015-01-07T23:11:57.000Z
2022-03-18T13:56:12.000Z
src/encoded/tests/test_audit_replicate.py
procha2/encoded
e9f122362b71f3b8641023b8d2d5ad531d3484b7
[ "MIT" ]
65
2015-02-06T23:00:26.000Z
2022-01-22T07:58:44.000Z
import pytest def test_audit_status_replicate(testapp, rep1): res = testapp.get(rep1['@id'] + '@@index-data') errors = res.json['audit'] errors_list = [] for error_type in errors: errors_list.extend(errors[error_type]) assert any(error['category'] == 'mismatched status' for error in errors...
44.571429
93
0.604968
269
2,496
5.360595
0.223048
0.062413
0.07767
0.035368
0.879334
0.879334
0.879334
0.879334
0.779473
0.779473
0
0.009559
0.245593
2,496
55
94
45.381818
0.75624
0
0
0.729167
0
0
0.182292
0.016827
0
0
0
0
0.0625
1
0.0625
false
0
0.020833
0
0.083333
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
15ce56f0be7b921cd2969b5a04f6078306327267
249
py
Python
ML_utils/__init__.py
MaximeRedstone/UnstructuredCAE-DA
b54bd53540c11aa1b70e5160751905141f463217
[ "MIT" ]
null
null
null
ML_utils/__init__.py
MaximeRedstone/UnstructuredCAE-DA
b54bd53540c11aa1b70e5160751905141f463217
[ "MIT" ]
null
null
null
ML_utils/__init__.py
MaximeRedstone/UnstructuredCAE-DA
b54bd53540c11aa1b70e5160751905141f463217
[ "MIT" ]
null
null
null
from UnstructuredCAEDA.ML_utils.helpers import set_seeds, load_AE, get_device from UnstructuredCAEDA.ML_utils.helpers import load_model_from_settings, load_model_and_settings_from_dir from UnstructuredCAEDA.ML_utils.convolution import ConvScheduler
62.25
105
0.903614
35
249
6.028571
0.514286
0.298578
0.327014
0.398104
0.388626
0.388626
0
0
0
0
0
0
0.060241
249
3
106
83
0.901709
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
c631bc60f5c8e65d2f5a8a93bac9b505c577fa9b
14,537
py
Python
scripts/list_tfrecords.py
cybertronai/Megatron-LM
4c766958a5b41ea1d7e472afa98a0a1a45aed865
[ "Apache-2.0" ]
14
2019-04-30T06:11:53.000Z
2021-04-16T09:26:48.000Z
scripts/list_tfrecords.py
cybertronai/Megatron-LM
4c766958a5b41ea1d7e472afa98a0a1a45aed865
[ "Apache-2.0" ]
null
null
null
scripts/list_tfrecords.py
cybertronai/Megatron-LM
4c766958a5b41ea1d7e472afa98a0a1a45aed865
[ "Apache-2.0" ]
5
2019-05-05T22:56:11.000Z
2021-04-16T09:30:27.000Z
#!/usr/bin/env python # Result is # /ncluster/data/bookcorpus.tfrecords/final_tfrecords_sharded/tf_examples.tfrecord0000 /ncluster/data/bookcorpus.tfrecords/final_tfrecords_sharded/tf_examples.tfrecord0001 /ncluster/data/bookcorpus.tfrecords/final_tfrecords_sharded/tf_examples.tfrecord0002 /ncluster/data/bookcorpus.tf...
855.117647
14,246
0.903281
1,689
14,537
7.480166
0.115453
0.15767
0.289061
0.407314
0.813836
0.813836
0.813836
0.80972
0.80972
0
0
0.061418
0.014377
14,537
16
14,247
908.5625
0.820352
0.981977
0
0
0
0
0.267442
0.228682
0
0
0
0
0
1
0
false
0
0.25
0
0.25
0.125
0
0
0
null
0
1
1
1
1
1
1
1
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
10
c6440e1ff0ccfa608884f09f3edbb4df6bf50163
502,222
py
Python
universal-dimmer-python/service/model/InflexibleControllerEfi20/xsd.py
flexiblepower/defpi-tutorial
59b57290444cf01ee4094bfac00c061c9474882a
[ "Apache-2.0" ]
1
2021-04-13T00:34:35.000Z
2021-04-13T00:34:35.000Z
universal-dimmer-python/service/model/InflexibleControllerEfi20/xsd.py
flexiblepower/defpi-tutorial
59b57290444cf01ee4094bfac00c061c9474882a
[ "Apache-2.0" ]
1
2018-10-01T13:21:50.000Z
2018-10-06T08:14:01.000Z
universal-dimmer-python/service/model/InflexibleControllerEfi20/xsd.py
flexiblepower/defpi-tutorial
59b57290444cf01ee4094bfac00c061c9474882a
[ "Apache-2.0" ]
3
2020-02-16T11:46:40.000Z
2021-06-15T12:56:13.000Z
# service/model/InflexibleControllerEfi20/xsd.py # -*- coding: utf-8 -*- # PyXB bindings for NM:b550fb16b19cc058aca9062a23ea1ae456ced48d # Generated 2018-08-10 09:57:06.989505 by PyXB version 1.2.6 using Python 3.6.6.final.0 # Namespace http://www.flexiblepower.org/efi-2 from __future__ import unicode_literals import ...
60.031317
414
0.775798
55,450
502,222
6.797151
0.019946
0.028689
0.037018
0.055335
0.874705
0.862272
0.832699
0.826302
0.795236
0.784435
0
0.021829
0.111192
502,222
8,365
415
60.038494
0.822525
0.131758
0
0.663902
1
0
0.200804
0.171155
0
0
0
0
0
1
0.014342
false
0
0.015725
0
0.256437
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
c6499f819501950939bd7e70ddf612cbf8b95613
189,635
py
Python
pirates/leveleditor/worldData/GABES_ravensCoveIsland.py
Willy5s/Pirates-Online-Rewritten
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
[ "BSD-3-Clause" ]
81
2018-04-08T18:14:24.000Z
2022-01-11T07:22:15.000Z
pirates/leveleditor/worldData/GABES_ravensCoveIsland.py
Willy5s/Pirates-Online-Rewritten
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
[ "BSD-3-Clause" ]
4
2018-09-13T20:41:22.000Z
2022-01-08T06:57:00.000Z
pirates/leveleditor/worldData/GABES_ravensCoveIsland.py
Willy5s/Pirates-Online-Rewritten
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
[ "BSD-3-Clause" ]
26
2018-05-26T12:49:27.000Z
2021-09-11T09:11:59.000Z
from pandac.PandaModules import Point3, VBase3, Vec4, Vec3 objectStruct = {'Adj Table': {'1271349069.91akelts': [],'1271349163.04akelts': [],'1271349193.8akelts': [],'1271349238.13akelts': [],'1271349357.21akelts': [],'1271349715.76akelts': [],'1271349813.4akelts': ['1271349871.68akelts'],'1271349871.68akelts': ['12713...
63,211.666667
188,672
0.671358
26,823
189,635
4.656079
0.069232
0.021411
0.023421
0.021523
0.717015
0.567379
0.532685
0.501689
0.468284
0.432076
0
0.253741
0.049817
189,635
3
188,673
63,211.666667
0.439369
0
0
0
0
1.666667
0.564582
0.275401
0
0
0
0
0
1
0
false
0
0.333333
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
1
1
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
7
d6d1ba393ab2c81ba3aa528da1951896eab44b3c
184
py
Python
project_name/views.py
the-falc0n/django-react-boilerplate
5fd4e72e576c03415c933e8b4aa32b2521407e68
[ "MIT" ]
null
null
null
project_name/views.py
the-falc0n/django-react-boilerplate
5fd4e72e576c03415c933e8b4aa32b2521407e68
[ "MIT" ]
null
null
null
project_name/views.py
the-falc0n/django-react-boilerplate
5fd4e72e576c03415c933e8b4aa32b2521407e68
[ "MIT" ]
null
null
null
from django.shortcuts import render def homepage( request ): return render( request, 'Home/index.html' ) def blogpage( request ): return render( request, 'Blog/index.html' )
23
47
0.711957
23
184
5.695652
0.608696
0.198473
0.290076
0.396947
0
0
0
0
0
0
0
0
0.173913
184
7
48
26.285714
0.861842
0
0
0
0
0
0.163043
0
0
0
0
0
0
1
0.4
false
0
0.2
0.4
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
0
0
0
1
1
0
0
7
d6f7535dfdd76b50e868d3c379c14e3b002caab6
141
py
Python
script.xbmcbackup/resources/lib/dropbox/pkg_resources.py
parser4life/tantrumrepo
3b37145f4772409e538cbddb0b7aa23be525772a
[ "Beerware" ]
1
2021-05-09T19:55:51.000Z
2021-05-09T19:55:51.000Z
script.xbmcbackup/resources/lib/dropbox/pkg_resources.py
Reapercrew666/crypt
e1e0994f5323c6b454ac0f65fb2e579f7bea8e5a
[ "Beerware" ]
null
null
null
script.xbmcbackup/resources/lib/dropbox/pkg_resources.py
Reapercrew666/crypt
e1e0994f5323c6b454ac0f65fb2e579f7bea8e5a
[ "Beerware" ]
2
2020-04-01T22:11:12.000Z
2020-05-07T23:54:52.000Z
import resources.lib.utils as utils def resource_filename(*args): return utils.addon_dir() + "/resources/lib/dropbox/trusted-certs.crt"
28.2
73
0.765957
20
141
5.3
0.8
0.226415
0
0
0
0
0
0
0
0
0
0
0.106383
141
4
74
35.25
0.84127
0
0
0
0
0
0.283688
0.283688
0
0
0
0
0
1
0.333333
true
0
0.333333
0.333333
1
0
1
0
0
null
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
1
1
0
1
1
0
0
0
7
ba30b0d5e69101600946b902428f5436af52fa9d
35
py
Python
crypto/Broadcast/secret.py
Enigmatrix/hats-ctf-2019
0dc1b9a5a4583c81b5f1b7bce0cbb9bd0fd2b192
[ "MIT" ]
5
2019-10-04T07:20:37.000Z
2021-06-15T21:34:07.000Z
crypto/Broadcast/secret.py
Enigmatrix/hats-ctf-2019
0dc1b9a5a4583c81b5f1b7bce0cbb9bd0fd2b192
[ "MIT" ]
null
null
null
crypto/Broadcast/secret.py
Enigmatrix/hats-ctf-2019
0dc1b9a5a4583c81b5f1b7bce0cbb9bd0fd2b192
[ "MIT" ]
null
null
null
flag='HATS{3xp0n3n7_700_5m41l!!!}'
17.5
34
0.742857
5
35
4.8
1
0
0
0
0
0
0
0
0
0
0
0.294118
0.028571
35
1
35
35
0.411765
0
0
0
0
0
0.771429
0.771429
0
0
0
0
0
1
0
false
0
0
0
0
0
1
1
0
null
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
ba67b095cbbd210533cf5c8f5a348640da53fb77
307
py
Python
experiments/provenance/__init__.py
humm/experiments
44770110e51349cc5e2a225322f57ede4f9fdfa7
[ "OML" ]
null
null
null
experiments/provenance/__init__.py
humm/experiments
44770110e51349cc5e2a225322f57ede4f9fdfa7
[ "OML" ]
null
null
null
experiments/provenance/__init__.py
humm/experiments
44770110e51349cc5e2a225322f57ede4f9fdfa7
[ "OML" ]
1
2018-05-10T21:15:02.000Z
2018-05-10T21:15:02.000Z
from .provenance import platform_info from .provenance import py_package_info from .provenance import PkgDesc, PkgInfo, ProvenanceData, ProvenanceAccumulator # from .provenance import check_dirty # from .provenance import git_commit, git_dirty # from .provenance import gather_provenance, check_provenance
38.375
79
0.846906
37
307
6.810811
0.432432
0.333333
0.47619
0.190476
0
0
0
0
0
0
0
0
0.107492
307
7
80
43.857143
0.919708
0.459283
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
bab7a54e3a6acfcc98bf074f945d3475b9fcb00c
358,811
py
Python
pyVmomi/_typeinfo_dp.py
xweichu/pyvmomi
77aedef02974a63517a079c482e49fd9890c09a4
[ "Apache-2.0" ]
null
null
null
pyVmomi/_typeinfo_dp.py
xweichu/pyvmomi
77aedef02974a63517a079c482e49fd9890c09a4
[ "Apache-2.0" ]
null
null
null
pyVmomi/_typeinfo_dp.py
xweichu/pyvmomi
77aedef02974a63517a079c482e49fd9890c09a4
[ "Apache-2.0" ]
null
null
null
# ******* WARNING - AUTO GENERATED CODE - DO NOT EDIT ******* from .VmomiSupport import CreateDataType, CreateManagedType from .VmomiSupport import CreateEnumType from .VmomiSupport import AddVersion, AddVersionParent from .VmomiSupport import AddBreakingChangesInfo from .VmomiSupport import F_LINK, F_LINKABLE from .Vm...
76.359013
2,514
0.815153
42,975
358,811
6.619756
0.012379
0.263108
0.366671
0.053876
0.96687
0.956331
0.757726
0.595316
0.436404
0.214047
0
0.036482
0.029358
358,811
4,698
2,515
76.375266
0.78035
0.000164
0
0
1
0
0.660728
0.433982
0
0
0
0
0
1
0
true
0
0.001704
0
0.001704
0
0
0
0
null
1
1
0
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
1
1
null
0
0
0
0
0
0
1
0
0
0
0
0
0
10
79f08b430a59bbb58547868268f8a33630753836
92
py
Python
test2.py
Ambareezh/pyneta
a64a2c213847bdec0af4064730c2c6f1d47575c7
[ "Apache-2.0" ]
null
null
null
test2.py
Ambareezh/pyneta
a64a2c213847bdec0af4064730c2c6f1d47575c7
[ "Apache-2.0" ]
null
null
null
test2.py
Ambareezh/pyneta
a64a2c213847bdec0af4064730c2c6f1d47575c7
[ "Apache-2.0" ]
null
null
null
print("Hai") print("Hai") print("Hai") print("Hai") print("Hai") print("Hai") print("Hai")
10.222222
12
0.608696
14
92
4
0.142857
1
1.392857
1.714286
1
1
1
1
1
1
0
0
0.086957
92
8
13
11.5
0.666667
0
0
1
0
0
0.228261
0
0
0
0
0
0
1
0
true
0
0
0
0
1
1
0
0
null
1
1
1
1
1
1
1
1
1
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
1
0
14
79f1edbb88a6a6afd2bb91b0da8def96b8a50377
4,325
py
Python
readCounters.py
szabogtamas/commonNFnodes
1244328723c1e32a98e7d194bce3bf1028822eaa
[ "MIT" ]
null
null
null
readCounters.py
szabogtamas/commonNFnodes
1244328723c1e32a98e7d194bce3bf1028822eaa
[ "MIT" ]
null
null
null
readCounters.py
szabogtamas/commonNFnodes
1244328723c1e32a98e7d194bce3bf1028822eaa
[ "MIT" ]
null
null
null
from nodePrototypes import nextflowCmdProcess class countWithFeatureCounts(nextflowCmdProcess): "Count reads with FeatureCounts, using general settings." def directives(self): return {"publishDir": "'../tables', mode: 'copy'", "label": "'manycpu'"} def customize_features(self): self.inpu...
40.046296
106
0.574566
428
4,325
5.745327
0.175234
0.102887
0.082961
0.065067
0.807645
0.806832
0.806832
0.806832
0.767792
0.716958
0
0
0.28763
4,325
107
107
40.420561
0.798117
0.080694
0
0.724138
0
0
0.500352
0.054264
0
0
0
0
0
1
0.114943
false
0
0.011494
0.057471
0.298851
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
031bb2a444a04924385f6f1cc40279d134378e0c
940
py
Python
pwn/mission-control/solve.py
zeyu2001/STANDCON-Challenges
ba302a01e0f644c7fc84ca6c64f24ad5b4a082e0
[ "MIT" ]
3
2021-07-25T11:01:21.000Z
2022-03-28T13:31:36.000Z
pwn/mission-control/solve.py
zeyu2001/STANDCON-Challenges
ba302a01e0f644c7fc84ca6c64f24ad5b4a082e0
[ "MIT" ]
null
null
null
pwn/mission-control/solve.py
zeyu2001/STANDCON-Challenges
ba302a01e0f644c7fc84ca6c64f24ad5b4a082e0
[ "MIT" ]
null
null
null
from pwn import * # Bruteforce the index of the buffer conn = remote("localhost", 50000) print(conn.recv()) conn.send("I am not a robotBBAAAA%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x.%x...
33.571429
451
0.543617
229
940
2.227074
0.170306
0.537255
0.8
1.058824
0.756863
0.641176
0.641176
0.641176
0.641176
0.641176
0
0.032147
0.073404
940
27
452
34.814815
0.553387
0.11383
0
0.642857
0
0.142857
0.657005
0.560386
0
0
0
0
0
1
0
false
0
0.071429
0
0.071429
0.428571
0
0
0
null
1
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
null
0
0
0
0
0
0
0
0
0
0
0
1
0
7
0358eae2f48244ea38079cd899289776007b52c3
11,080
py
Python
checkpoint_sand_blast/komand_checkpoint_sand_blast/actions/upload/schema.py
xhennessy-r7/insightconnect-plugins
59268051313d67735b5dd3a30222eccb92aca8e9
[ "MIT" ]
null
null
null
checkpoint_sand_blast/komand_checkpoint_sand_blast/actions/upload/schema.py
xhennessy-r7/insightconnect-plugins
59268051313d67735b5dd3a30222eccb92aca8e9
[ "MIT" ]
null
null
null
checkpoint_sand_blast/komand_checkpoint_sand_blast/actions/upload/schema.py
xhennessy-r7/insightconnect-plugins
59268051313d67735b5dd3a30222eccb92aca8e9
[ "MIT" ]
null
null
null
# GENERATED BY KOMAND SDK - DO NOT EDIT import komand import json class Input: FILE_BYTES = "file_bytes" FILE_NAME = "file_name" FILE_TYPE = "file_type" class Output: RESULTS = "results" class UploadInput(komand.Input): schema = json.loads(""" { "type": "object", "title": "Varia...
23.524416
58
0.314982
661
11,080
5.208775
0.111952
0.095847
0.139413
0.063898
0.812082
0.812082
0.812082
0.763869
0.735405
0.735405
0
0.010833
0.516787
11,080
470
59
23.574468
0.632238
0.003339
0
0.679739
1
0
0.959877
0.024454
0
0
0
0
0
1
0.004357
false
0
0.004357
0
0.030501
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
1
0
0
0
0
0
0
0
0
1
0
1
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
9
036113fce85ec1a10b88458b5eac5cad8a658ca0
12,850
py
Python
tests/test_csv.py
klee229/CS179J-Smart-Water-Station-Project
7568c23dc7cd4108ca42c27bf77e18a2a74aa36f
[ "MIT" ]
null
null
null
tests/test_csv.py
klee229/CS179J-Smart-Water-Station-Project
7568c23dc7cd4108ca42c27bf77e18a2a74aa36f
[ "MIT" ]
null
null
null
tests/test_csv.py
klee229/CS179J-Smart-Water-Station-Project
7568c23dc7cd4108ca42c27bf77e18a2a74aa36f
[ "MIT" ]
2
2021-09-03T20:23:32.000Z
2021-11-28T21:49:36.000Z
import unittest import csv import pandas as pd class TestCSVFile(unittest.TestCase): # NOTE: all items in user_data converted to str from int or float, this way we compare string to string for testing def test_open_write_read_close(self): # example users for testing columns = ['card_uid', 'r...
45.40636
120
0.481245
1,546
12,850
3.85705
0.129366
0.022807
0.027168
0.032199
0.87456
0.871373
0.866007
0.857622
0.857622
0.857622
0
0.154779
0.313697
12,850
282
121
45.567376
0.521374
0.083346
0
0.73913
0
0
0.285824
0.028931
0
0
0
0
0.05314
1
0.028986
false
0
0.014493
0
0.048309
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0377ea243b69ee749031fa3206a18401ccb44a0f
3,470
py
Python
scripts_gpio/therm.py
BertrandFreylin/WeatherStation
4ab6f5af2af02a83c109ecb79498e4c92e5af5d2
[ "Apache-2.0" ]
null
null
null
scripts_gpio/therm.py
BertrandFreylin/WeatherStation
4ab6f5af2af02a83c109ecb79498e4c92e5af5d2
[ "Apache-2.0" ]
null
null
null
scripts_gpio/therm.py
BertrandFreylin/WeatherStation
4ab6f5af2af02a83c109ecb79498e4c92e5af5d2
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python3 import ADC0834 import time import math def setup_files(number_of_lines): num_lines_temp = sum(1 for line in open('/home/bertrand/workspace/rasp/static/data/therm_inside.csv')) if num_lines_temp > number_of_lines: to_delete = int(num_lines_temp - number_of_lines) with ope...
44.487179
106
0.665994
507
3,470
4.390533
0.149901
0.071878
0.143756
0.224618
0.86478
0.86478
0.86478
0.831536
0.820755
0.820755
0
0.020622
0.175504
3,470
77
107
45.064935
0.757427
0.006052
0
0.712121
0
0
0.338167
0.323086
0
0
0
0
0
1
0.045455
false
0
0.045455
0
0.136364
0
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
30577d70a1c1522176a05c9c572d66e6b86822a0
87,419
py
Python
test/user18_time.py
time-track-tool/time-track-tool
a1c280f32a7766e460c862633b748fa206256f24
[ "MIT" ]
null
null
null
test/user18_time.py
time-track-tool/time-track-tool
a1c280f32a7766e460c862633b748fa206256f24
[ "MIT" ]
1
2019-07-03T13:32:38.000Z
2019-07-03T13:32:38.000Z
test/user18_time.py
time-track-tool/time-track-tool
a1c280f32a7766e460c862633b748fa206256f24
[ "MIT" ]
1
2019-05-15T16:01:31.000Z
2019-05-15T16:01:31.000Z
from roundup import date def import_data_18 (db, user, dep, olo) : sd = dict (months = 1.0, required_overtime = 1, weekly = 0) otp = db.overtime_period.filter (None, sd) assert len (otp) == 1 otp = otp [0] db.user_dynamic.create \ ( hours_fri = 7.5 , hours_sun = 0....
28.879749
64
0.408435
9,166
87,419
3.739363
0.01331
0.145062
0.094179
0.141269
0.991335
0.989322
0.987805
0.987688
0.983866
0.981152
0
0.127115
0.467885
87,419
3,026
65
28.889293
0.609713
0.000252
0
0.775463
0
0
0.079009
0
0
0
0
0
0.000661
1
0.000331
false
0
0.000661
0
0.000992
0
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0686fff069deb82b8d08160d4b0a878dc045e130
6,003
py
Python
tests/test_etlskel_full.py
slouchart/pyetllib
133df36a1628f413cd60a86e4c7eac2738844d17
[ "MIT" ]
2
2020-04-01T10:08:02.000Z
2021-03-07T15:18:14.000Z
tests/test_etlskel_full.py
slouchart/pyetllib
133df36a1628f413cd60a86e4c7eac2738844d17
[ "MIT" ]
null
null
null
tests/test_etlskel_full.py
slouchart/pyetllib
133df36a1628f413cd60a86e4c7eac2738844d17
[ "MIT" ]
1
2020-10-13T13:23:02.000Z
2020-10-13T13:23:02.000Z
from unittest import TestCase from unittest import main as run_tests from pathlib import Path from click.testing import CliRunner from src.pyetllib.etlskel.cli import etlskel class TestEndToEndEtlSkel(TestCase): def setUp(self): self.runner = CliRunner() self.root_dir = 'to_be_removed' def ...
41.6875
77
0.613693
637
6,003
5.587127
0.120879
0.157348
0.216353
0.334083
0.834223
0.831413
0.787862
0.760326
0.759764
0.759764
0
0.00023
0.274863
6,003
143
78
41.979021
0.817367
0
0
0.576
0
0
0.09995
0.009662
0
0
0
0
0.472
1
0.104
false
0.008
0.04
0.016
0.168
0
0
0
0
null
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
0
0
0
0
0
0
0
9
233ba1d3c7699ecb7452ec267a443083c7565517
15,702
py
Python
data_steward/analytics/rt_cdr_qc/cdr_deid_qa_report4_dateshift.py
lrwb-aou/curation
e80447e56d269dc2c9c8bc79e78218d4b0dc504c
[ "MIT" ]
16
2017-06-30T20:05:05.000Z
2022-03-08T21:03:19.000Z
data_steward/analytics/rt_cdr_qc/cdr_deid_qa_report4_dateshift.py
lrwb-aou/curation
e80447e56d269dc2c9c8bc79e78218d4b0dc504c
[ "MIT" ]
342
2017-06-23T21:37:40.000Z
2022-03-30T16:44:16.000Z
data_steward/analytics/rt_cdr_qc/cdr_deid_qa_report4_dateshift.py
lrwb-aou/curation
e80447e56d269dc2c9c8bc79e78218d4b0dc504c
[ "MIT" ]
33
2017-07-01T00:12:20.000Z
2022-01-26T18:06:53.000Z
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.7.1 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] papermill={"duration": 0.024011, "end_ti...
34.893333
184
0.703223
2,493
15,702
4.225431
0.093061
0.050408
0.046896
0.028194
0.808715
0.784128
0.753275
0.713404
0.677425
0.607936
0
0.045785
0.150108
15,702
449
185
34.971047
0.743574
0.260986
0
0.623881
0
0.032836
0.700477
0.341309
0
0
0
0
0
1
0
false
0.119403
0.00597
0
0.00597
0
0
0
0
null
0
0
0
1
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
null
0
0
0
0
0
0
0
1
0
0
0
0
0
7
88f96c727c174f8ff8b1df34ccf4ee09c4f27ad0
374
py
Python
test/test_gcd.py
neo0057/Algorithms
75300184665d71a0fc1248448c509e14b51e05a0
[ "WTFPL" ]
4
2018-09-18T09:02:03.000Z
2019-11-27T08:29:43.000Z
test/test_gcd.py
neo0057/Algorithms
75300184665d71a0fc1248448c509e14b51e05a0
[ "WTFPL" ]
4
2018-10-12T13:32:43.000Z
2018-10-24T16:39:02.000Z
test/test_gcd.py
neo0057/Algorithms
75300184665d71a0fc1248448c509e14b51e05a0
[ "WTFPL" ]
9
2018-10-12T14:11:26.000Z
2019-10-04T08:16:02.000Z
import pytest import fractions from misc import GCD def test_gcd(): assert fractions.gcd(30,50) == GCD.greatest_common_divisor(30,50) assert fractions.gcd(55555,123450) == GCD.greatest_common_divisor(55555,123450) assert fractions.gcd(-30,-50) == GCD.greatest_common_divisor(-30,-50) assert fractions.gcd(-1...
37.4
81
0.762032
55
374
5.018182
0.309091
0.217391
0.26087
0.347826
0.492754
0.492754
0.492754
0.492754
0.492754
0.492754
0
0.161677
0.106952
374
9
82
41.555556
0.664671
0
0
0
0
0
0
0
0
0
0
0
0.5
1
0.125
true
0
0.375
0
0.5
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
1
0
0
1
0
1
0
0
0
0
7
000728ad494d547b467929484ab896b11b09fb47
201
py
Python
scopus/utils/__init__.py
mbrcic/scopus
570fa6a3e670c9dbf1fee732af49c820b23edd1a
[ "MIT" ]
2
2018-10-09T21:19:31.000Z
2018-10-10T12:41:26.000Z
scopus/utils/__init__.py
mbrcic/scopus
570fa6a3e670c9dbf1fee732af49c820b23edd1a
[ "MIT" ]
null
null
null
scopus/utils/__init__.py
mbrcic/scopus
570fa6a3e670c9dbf1fee732af49c820b23edd1a
[ "MIT" ]
null
null
null
from scopus.utils.create_config import * from scopus.utils.get_content import * from scopus.utils.get_encoded_text import * from scopus.utils.startup import * from scopus.utils.detect_id_type import *
33.5
43
0.825871
31
201
5.16129
0.451613
0.3125
0.46875
0.525
0.3
0
0
0
0
0
0
0
0.099502
201
5
44
40.2
0.883978
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
cc456ed9fa4a75fe205b73258c3f5d315de4a347
2,523
py
Python
tests/convert_points.py
airportyh/cpython
e3cb54bdfcafb8493a936ba50d53e496f98f9222
[ "0BSD" ]
null
null
null
tests/convert_points.py
airportyh/cpython
e3cb54bdfcafb8493a936ba50d53e496f98f9222
[ "0BSD" ]
null
null
null
tests/convert_points.py
airportyh/cpython
e3cb54bdfcafb8493a936ba50d53e496f98f9222
[ "0BSD" ]
null
null
null
def c3(): global x1 global y1 global x2 global y2 global x3 global y3 global x4 global y4 x1=float(input("What are your x1?")) y1=float(input("What are your y1?")) x2=float(input("What are your x2?")) y2=float(input("What are your y2?")) x3=float(input("What are your x3?")) y3=float(input("W...
17.520833
43
0.520809
446
2,523
2.946188
0.103139
0.136986
0.149163
0.181126
0.896499
0.864536
0.864536
0.864536
0.864536
0.864536
0
0.130933
0.273484
2,523
144
44
17.520833
0.585925
0
0
0.873239
0
0
0.208003
0
0
0
0
0
0
1
0.014085
false
0
0
0
0.014085
0.105634
0
0
0
null
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
aeabbe5f1fb6b9ae690a2222955b9802d9cb5603
147
py
Python
pybpodapi/protocol/__init__.py
ckarageorgkaneen/pybpod-api
ebccef800ae1abf3b6a643ff33166fab2096c780
[ "MIT" ]
1
2021-01-18T08:18:22.000Z
2021-01-18T08:18:22.000Z
pybpodapi/protocol/__init__.py
ckarageorgkaneen/pybpod-api
ebccef800ae1abf3b6a643ff33166fab2096c780
[ "MIT" ]
1
2020-09-18T20:46:11.000Z
2020-12-29T14:55:20.000Z
pybpodapi/protocol/__init__.py
ckarageorgkaneen/pybpod-api
ebccef800ae1abf3b6a643ff33166fab2096c780
[ "MIT" ]
3
2020-09-12T15:32:11.000Z
2022-03-11T23:08:03.000Z
from pybpodapi.bpod import Bpod from pybpodapi.state_machine import StateMachine from pybpodapi.bpod.hardware.output_channels import OutputChannel
36.75
65
0.884354
19
147
6.736842
0.578947
0.304688
0.265625
0
0
0
0
0
0
0
0
0
0.081633
147
3
66
49
0.948148
0
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
aecd29a848ed2fc79f3bdd58691b93d7d31925ca
190
py
Python
postpost/api/models/__init__.py
PiterPy-Meetup/postpost
a0b7f3b8005015335953af5dba7ee4722dcfbfb9
[ "MIT" ]
6
2018-12-21T18:18:26.000Z
2019-02-23T11:20:53.000Z
postpost/api/models/__init__.py
JaradC42/postpost
a0b7f3b8005015335953af5dba7ee4722dcfbfb9
[ "MIT" ]
78
2019-03-02T11:52:45.000Z
2020-03-11T02:25:28.000Z
postpost/api/models/__init__.py
JaradC42/postpost
a0b7f3b8005015335953af5dba7ee4722dcfbfb9
[ "MIT" ]
2
2019-05-06T08:17:50.000Z
2019-10-18T03:23:25.000Z
from api.models.attachments import Attachment # noqa: F401 from api.models.platform_settings import PlatformPost # noqa: F401 from api.models.publications import Publication # noqa: F401
47.5
67
0.810526
25
190
6.12
0.52
0.137255
0.254902
0.196078
0.27451
0
0
0
0
0
0
0.054217
0.126316
190
3
68
63.333333
0.86747
0.168421
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
4e1bca777757939170e9e4b14993ce21aaf0b6b6
79
py
Python
firstturtlepythonrun.py
SmashedFrenzy16/square
7c3d800a23291d74afd65c057f2e9b01a18803d0
[ "Apache-2.0" ]
null
null
null
firstturtlepythonrun.py
SmashedFrenzy16/square
7c3d800a23291d74afd65c057f2e9b01a18803d0
[ "Apache-2.0" ]
null
null
null
firstturtlepythonrun.py
SmashedFrenzy16/square
7c3d800a23291d74afd65c057f2e9b01a18803d0
[ "Apache-2.0" ]
null
null
null
from turtle import * fd(100) rt(90) fd(50) rt(80) rt(10) fd(100) rt(90) fd(50)
7.9
20
0.632911
19
79
2.631579
0.526316
0.2
0.28
0.36
0.52
0.52
0
0
0
0
0
0.268657
0.151899
79
9
21
8.777778
0.477612
0
0
0.666667
0
0
0
0
0
0
0
0
0
1
0
true
0
0.111111
0
0.111111
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
7
4e347026aac844642062524c564ed75e6f3cc5c3
1,429
py
Python
data-structures/union_rank/union_rank.py
sanchezg/coursera-algorithms
8d3922011873737c18f9b6fa49b45a28b796a34c
[ "MIT" ]
null
null
null
data-structures/union_rank/union_rank.py
sanchezg/coursera-algorithms
8d3922011873737c18f9b6fa49b45a28b796a34c
[ "MIT" ]
null
null
null
data-structures/union_rank/union_rank.py
sanchezg/coursera-algorithms
8d3922011873737c18f9b6fa49b45a28b796a34c
[ "MIT" ]
null
null
null
class SetUnionRank: def __init__(self, arr): self.parents = arr self.ranks = [0] * self.size @property def size(self): return len(self.parents) def find(self, i): while i != self.parents[i - 1]: i = self.parents[i - 1] return i def union(self, ...
25.981818
64
0.496851
214
1,429
3.158879
0.107477
0.227811
0.142012
0.115385
0.890533
0.766272
0.766272
0.766272
0.766272
0.766272
0
0.026637
0.369489
1,429
54
65
26.462963
0.72364
0
0
0.818182
0
0
0
0
0
0
0
0
0
1
0.181818
false
0
0
0.045455
0.363636
0
0
0
0
null
1
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
8
9de9c361ca2ab17edf94290aef0d1ffb329ae41d
2,452
py
Python
src/nn/para.py
BoxMars/MachineLearningProject
9a124369f6b3eaac3a55b156e50003f222107c56
[ "MIT" ]
null
null
null
src/nn/para.py
BoxMars/MachineLearningProject
9a124369f6b3eaac3a55b156e50003f222107c56
[ "MIT" ]
null
null
null
src/nn/para.py
BoxMars/MachineLearningProject
9a124369f6b3eaac3a55b156e50003f222107c56
[ "MIT" ]
null
null
null
import numpy as np from matplotlib import pyplot as plt from sklearn import tree from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import cross_val_score from src.data import Data import time from sklearn import neural_network from sklearn.metrics import classification_report, accuracy...
32.693333
86
0.707586
367
2,452
4.525886
0.269755
0.062613
0.065021
0.075858
0.852498
0.815172
0.815172
0.773028
0.732089
0.732089
0
0.027079
0.156607
2,452
74
87
33.135135
0.776112
0.459625
0
0.0625
0
0
0.072981
0
0
0
0
0
0
1
0
false
0
0.34375
0
0.34375
0.03125
0
0
0
null
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
1
0
0
0
0
7