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
313142ab6ce549a139115eb0b45ced16e5e3b5d9
1,671
py
Python
examples_ltnw/binary_classifier.py
gilbeckers/logictensornetworks
c4cc3628db91030230c78d3b964c26304a3b452b
[ "MIT" ]
null
null
null
examples_ltnw/binary_classifier.py
gilbeckers/logictensornetworks
c4cc3628db91030230c78d3b964c26304a3b452b
[ "MIT" ]
null
null
null
examples_ltnw/binary_classifier.py
gilbeckers/logictensornetworks
c4cc3628db91030230c78d3b964c26304a3b452b
[ "MIT" ]
1
2019-05-19T01:28:04.000Z
2019-05-19T01:28:04.000Z
# -*- coding: utf-8 -*- import logging; logging.basicConfig(level=logging.INFO) import numpy as np import matplotlib.pyplot as plt import logictensornetworks_wrapper as ltnw nr_samples=500 data=np.random.uniform([0,0],[1.,1.],(nr_samples,2)).astype(np.float32) data_A=data[np.where(np.sum(np.square(data-[.5,.5]),axi...
27.85
71
0.689408
307
1,671
3.635179
0.2443
0.044803
0.043011
0.044803
0.515233
0.479391
0.458781
0.399642
0.399642
0.345878
0
0.043506
0.064632
1,671
59
72
28.322034
0.670505
0.012567
0
0.159091
0
0
0.157767
0
0
0
0
0
0
1
0
false
0
0.090909
0
0.090909
0.045455
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313299b92381faa8b71fda04a1042894c5a9f593
2,937
py
Python
customer/views.py
lautarianoo/django_shop
9bc575df8b7af5452bd15cc3cf4fb375be6384bd
[ "MIT" ]
null
null
null
customer/views.py
lautarianoo/django_shop
9bc575df8b7af5452bd15cc3cf4fb375be6384bd
[ "MIT" ]
null
null
null
customer/views.py
lautarianoo/django_shop
9bc575df8b7af5452bd15cc3cf4fb375be6384bd
[ "MIT" ]
null
null
null
from django.contrib.auth import authenticate, login from django.shortcuts import render, redirect from cart.models import Cart from django.views import View from .forms import LoginForm, RegistrationForm, CreateCompanyForm from customer.models import Customer, ShippingAddress from src.utils.mixins import CustomerMixin ...
41.957143
86
0.640449
321
2,937
5.788162
0.218069
0.047363
0.048439
0.067815
0.456943
0.456943
0.442949
0.420344
0.310011
0.310011
0
0.000453
0.248212
2,937
69
87
42.565217
0.841033
0
0
0.383333
0
0
0.088185
0.032005
0
0
0
0
0
1
0.1
false
0.05
0.133333
0
0.483333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3132c447ee024e396e1324d642bb304d3461295b
1,771
py
Python
kickstarter/app.py
Annapurnaj91/kickstarter3
372b2fd53b0b2b35dad210a7d6d54baff1a16204
[ "MIT" ]
null
null
null
kickstarter/app.py
Annapurnaj91/kickstarter3
372b2fd53b0b2b35dad210a7d6d54baff1a16204
[ "MIT" ]
null
null
null
kickstarter/app.py
Annapurnaj91/kickstarter3
372b2fd53b0b2b35dad210a7d6d54baff1a16204
[ "MIT" ]
null
null
null
from flask import Flask, render_template, request # from .recommendation import * # import pickle import pandas as pd import numpy as np # import keras # from keras.models import load_model import pickle def create_app(): # initializes our app APP = Flask(__name__) @APP.route('/') def form(): ...
29.032787
73
0.59345
194
1,771
5.283505
0.319588
0.070244
0.054634
0.089756
0.170732
0.170732
0
0
0
0
0
0.004724
0.282891
1,771
61
74
29.032787
0.802362
0.216262
0
0
0
0
0.091837
0
0
0
0
0
0
1
0.129032
false
0
0.129032
0.032258
0.387097
0.064516
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3133622434c8873a4080869ebe2b301b8b8641a5
2,765
py
Python
src/plotman/plot_util.py
rafaelsteil/plotman
b7b4d97a12b60c31f66e18764ff60469930e3b37
[ "Apache-2.0" ]
null
null
null
src/plotman/plot_util.py
rafaelsteil/plotman
b7b4d97a12b60c31f66e18764ff60469930e3b37
[ "Apache-2.0" ]
null
null
null
src/plotman/plot_util.py
rafaelsteil/plotman
b7b4d97a12b60c31f66e18764ff60469930e3b37
[ "Apache-2.0" ]
null
null
null
import math import os import re import shutil from plotman import job GB = 1_000_000_000 def df_b(d): 'Return free space for directory (in bytes)' usage = shutil.disk_usage(d) return usage.free def get_k32_plotsize(): return 108 * GB def is_valid_plot_dst(d, sched_cfg, all_jobs): if sched_cfg.s...
30.384615
79
0.609403
405
2,765
3.995062
0.375309
0.024722
0.034611
0.024722
0
0
0
0
0
0
0
0.033433
0.275226
2,765
90
80
30.722222
0.773952
0.201447
0
0.028986
0
0
0.094332
0
0
0
0
0
0
1
0.144928
false
0
0.072464
0.014493
0.434783
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3134461b8aadf2c623046676e642ba5bc115a4e1
4,091
py
Python
vespene/workers/registration.py
Conan-Kudo/vespene
9e9977523f45586e1326ccd77d8cc0cb10591a07
[ "Apache-2.0" ]
680
2018-10-29T12:12:10.000Z
2019-04-27T09:52:58.000Z
vespene/workers/registration.py
Conan-Kudo/vespene
9e9977523f45586e1326ccd77d8cc0cb10591a07
[ "Apache-2.0" ]
110
2018-10-29T12:33:34.000Z
2019-02-14T02:31:43.000Z
vespene/workers/registration.py
Conan-Kudo/vespene
9e9977523f45586e1326ccd77d8cc0cb10591a07
[ "Apache-2.0" ]
92
2018-10-29T12:21:12.000Z
2019-06-08T11:08:08.000Z
# Copyright 2018, Michael DeHaan LLC # License: Apache License Version 2.0 # ------------------------------------------------------------------------- # registration.py - updates the database to say who is building something # and what the current settings are, which is used by the file serving # code to see if i...
32.728
124
0.620142
483
4,091
5.055901
0.322981
0.055692
0.052416
0.027027
0.217035
0.142506
0.064701
0
0
0
0
0.011542
0.237595
4,091
124
125
32.991935
0.771401
0.251528
0
0.05
0
0
0.02911
0.023817
0
0
0
0
0
1
0.15
false
0
0.1125
0.05
0.4375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3136541ef58415903ff6578bb2e900d003116de0
1,065
py
Python
10 Days of Statistics/Day 5 - Normal Distribution I.py
sohammanjrekar/HackerRank
1f5010133a1ac1e765e855a086053c97d9e958be
[ "MIT" ]
null
null
null
10 Days of Statistics/Day 5 - Normal Distribution I.py
sohammanjrekar/HackerRank
1f5010133a1ac1e765e855a086053c97d9e958be
[ "MIT" ]
null
null
null
10 Days of Statistics/Day 5 - Normal Distribution I.py
sohammanjrekar/HackerRank
1f5010133a1ac1e765e855a086053c97d9e958be
[ "MIT" ]
null
null
null
""" Day 5: Normal Distribution I In certain plant, the time taken to assemble a car is a random variable, X having a normal distribution with a mean of 20 hours and a standard deviation of 2 hours. What is the probability that a car can be assembled at this plant in: 1. Less han 19.5 hours? 2. Between 20 and ...
27.307692
104
0.638498
172
1,065
3.906977
0.395349
0.072917
0.013393
0.03125
0.372024
0.235119
0.172619
0
0
0
0
0.057831
0.220657
1,065
39
105
27.307692
0.751807
0.358685
0
0
0
0
0
0
0
0
0
0
0
1
0.133333
false
0
0.066667
0
0.2
0.133333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31383059d386bdab69fab697d6aece922f099277
1,236
py
Python
tests/unit/records/format_hints.py
cwegrzyn/records-mover
e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2
[ "Apache-2.0" ]
36
2020-03-17T11:56:51.000Z
2022-01-19T16:03:32.000Z
tests/unit/records/format_hints.py
cwegrzyn/records-mover
e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2
[ "Apache-2.0" ]
60
2020-03-02T23:13:29.000Z
2021-05-19T15:05:42.000Z
tests/unit/records/format_hints.py
cwegrzyn/records-mover
e3b71d6c09d99d0bcd6a956b9d09d20f8abe98d2
[ "Apache-2.0" ]
4
2020-08-11T13:17:37.000Z
2021-11-05T21:11:52.000Z
bluelabs_format_hints = { 'field-delimiter': ',', 'record-terminator': "\n", 'compression': 'GZIP', 'quoting': None, 'quotechar': '"', 'doublequote': False, 'escape': '\\', 'encoding': 'UTF8', 'dateformat': 'YYYY-MM-DD', 'timeonlyformat': 'HH24:MI:SS', 'datetimeformattz': 'YY...
25.75
48
0.572006
130
1,236
5.392308
0.3
0.051355
0.068474
0.10699
0.691869
0.537803
0.42796
0.42796
0.42796
0.330956
0
0.021385
0.205502
1,236
47
49
26.297872
0.692464
0
0
0.6
0
0
0.535599
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313a0495ccbff8beabc442ab70ce74da829e195f
1,829
py
Python
CONST.py
Bobobert/DQN-Vanilla
a793021692b58f9b8249819302cb2cd08ad57edb
[ "MIT" ]
null
null
null
CONST.py
Bobobert/DQN-Vanilla
a793021692b58f9b8249819302cb2cd08ad57edb
[ "MIT" ]
null
null
null
CONST.py
Bobobert/DQN-Vanilla
a793021692b58f9b8249819302cb2cd08ad57edb
[ "MIT" ]
null
null
null
# FROM THE OP PAPER-ISH MINI_BATCH_SIZE = 32 MEMORY_SIZE = 10**6 BUFFER_SIZE = 100 LHIST = 4 GAMMA = 0.99 UPDATE_FREQ_ONlINE = 4 UPDATE_TARGET = 2500 # This was 10**4 but is measured in actor steps, so it's divided update_freq_online TEST_FREQ = 5*10**4 # Measure in updates TEST_STEPS = 10**4 LEARNING_RATE = 0.00025 G_...
29.5
104
0.640241
261
1,829
4.287356
0.708812
0.017873
0.018767
0.017873
0.007149
0.007149
0.007149
0
0
0
0
0.078652
0.172772
1,829
62
105
29.5
0.660939
0.083652
0
0
0
0
0.387193
0
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313a4f7ab87e42cd98ccf9595c3af6b5e740cfb1
6,031
py
Python
milieu/paper/methods/milieu.py
seyuboglu/milieu
dfcd23ecb4449e6fa5debf8ed371fbc5d5c22e8e
[ "Apache-2.0" ]
1
2020-07-15T18:52:29.000Z
2020-07-15T18:52:29.000Z
milieu/paper/methods/milieu.py
seyuboglu/milieu
dfcd23ecb4449e6fa5debf8ed371fbc5d5c22e8e
[ "Apache-2.0" ]
null
null
null
milieu/paper/methods/milieu.py
seyuboglu/milieu
dfcd23ecb4449e6fa5debf8ed371fbc5d5c22e8e
[ "Apache-2.0" ]
null
null
null
import os import json import logging from collections import defaultdict import numpy as np import networkx as nx import torch from torch.utils.data import DataLoader from torch.optim import Adam from tqdm import tqdm from milieu.util.util import place_on_cpu, place_on_gpu from milieu.paper.methods.method import D...
37.459627
92
0.521472
627
6,031
4.830941
0.245614
0.075933
0.034665
0.027732
0.249587
0.243975
0.221195
0.182238
0.182238
0.145923
0
0.00133
0.376554
6,031
160
93
37.69375
0.804255
0.032665
0
0.243902
0
0
0.064751
0
0
0
0
0
0.01626
1
0.04065
false
0
0.097561
0
0.162602
0.00813
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313cc87d19724030ef67c4661d1e5a9c641aaae1
5,185
py
Python
scripts/telegram_bot.py
luigi311/ArBluna
bc65cb1be30339c83699f06f520ed8cb00048abf
[ "MIT" ]
18
2021-08-21T05:42:40.000Z
2022-03-16T21:00:56.000Z
scripts/telegram_bot.py
luigi311/ArBluna
bc65cb1be30339c83699f06f520ed8cb00048abf
[ "MIT" ]
4
2021-08-21T06:05:04.000Z
2021-12-07T02:23:05.000Z
scripts/telegram_bot.py
luigi311/ArBluna
bc65cb1be30339c83699f06f520ed8cb00048abf
[ "MIT" ]
5
2021-08-24T08:29:51.000Z
2022-03-04T17:14:49.000Z
import os import distutils.util from telegram import Update from telegram.ext import Updater, CommandHandler, Filters, CallbackContext from dotenv import load_dotenv from scripts.get_info import get_ratio from scripts.terra import get_balances, execute_swap load_dotenv(override=True) notify_telegram = bool(distutil...
34.798658
291
0.652652
628
5,185
5.157643
0.164013
0.037048
0.047546
0.094474
0.621488
0.621488
0.549861
0.493671
0.470207
0.395801
0
0.002067
0.253423
5,185
148
292
35.033784
0.834668
0.084089
0
0.28972
0
0.009346
0.142402
0.012752
0
0
0
0
0
1
0.084112
false
0
0.065421
0
0.149533
0.009346
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313ce62aeca2701889c38df68499f25c82820cc8
3,179
py
Python
envs/mujoco/utils/download_meshes.py
hzm2016/assistive-gym-robosuite
5c529f4444cc386383618bfa584341740a8468f9
[ "MIT" ]
1
2021-11-22T07:45:28.000Z
2021-11-22T07:45:28.000Z
envs/mujoco/utils/download_meshes.py
hzm2016/assistive-gym-robosuite
5c529f4444cc386383618bfa584341740a8468f9
[ "MIT" ]
null
null
null
envs/mujoco/utils/download_meshes.py
hzm2016/assistive-gym-robosuite
5c529f4444cc386383618bfa584341740a8468f9
[ "MIT" ]
null
null
null
import os import zipfile import requests def check_and_download(name, google_id, files=None, force_download=False): """ Checks if the meshes folder exists in the xml directory If not it will ask the user if they want to download them to be able to proceed Parameters ---------- name: string the file or direc...
30.27619
121
0.709343
474
3,179
4.597046
0.341772
0.044057
0.027536
0.020193
0.134006
0.074346
0.074346
0.045893
0.045893
0.045893
0
0.010329
0.177729
3,179
104
122
30.567308
0.823259
0.232148
0
0.117647
0
0
0.182413
0.039673
0
0
0
0
0
1
0.073529
false
0
0.044118
0
0.147059
0.088235
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313da56284119f917128f140877f55d791f270c7
2,188
py
Python
wagtail/users/models.py
originell/wagtail
d2b02dff00edbd24bfaf971ae0a0d1fa71ea5df4
[ "BSD-3-Clause" ]
null
null
null
wagtail/users/models.py
originell/wagtail
d2b02dff00edbd24bfaf971ae0a0d1fa71ea5df4
[ "BSD-3-Clause" ]
null
null
null
wagtail/users/models.py
originell/wagtail
d2b02dff00edbd24bfaf971ae0a0d1fa71ea5df4
[ "BSD-3-Clause" ]
null
null
null
import os import uuid from django.conf import settings from django.db import models from django.utils.translation import ugettext_lazy as _ def upload_avatar_to(instance, filename): filename, ext = os.path.splitext(filename) return os.path.join( 'avatar_images', 'avatar_{uuid}_{filename}{ext}...
28.415584
94
0.675503
249
2,188
5.658635
0.365462
0.062456
0.053229
0.080908
0.226402
0.136977
0.136977
0.136977
0.097942
0.097942
0
0.003569
0.231718
2,188
76
95
28.789474
0.834622
0
0
0.083333
0
0
0.194241
0.013254
0
0
0
0
0
1
0.083333
false
0
0.083333
0.066667
0.4
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313e16f482043a4d9b63143c96c69a32c7de5ed4
4,898
py
Python
PRESUBMIT.py
oneumyvakin/catapult
69d05ea70e77998c86149ac78044470e3ca364ad
[ "BSD-3-Clause" ]
null
null
null
PRESUBMIT.py
oneumyvakin/catapult
69d05ea70e77998c86149ac78044470e3ca364ad
[ "BSD-3-Clause" ]
null
null
null
PRESUBMIT.py
oneumyvakin/catapult
69d05ea70e77998c86149ac78044470e3ca364ad
[ "BSD-3-Clause" ]
null
null
null
# Copyright 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Top-level presubmit script for catapult. See https://www.chromium.org/developers/how-tos/depottools/presubmit-scripts for more details about the presubmi...
37.676923
80
0.638424
622
4,898
4.821543
0.33119
0.056019
0.060687
0.073691
0.311104
0.2014
0.180727
0.16939
0.16939
0.152718
0
0.004637
0.207432
4,898
129
81
37.968992
0.767903
0.14312
0
0.061224
0
0
0.307656
0.147847
0
0
0
0.007752
0
1
0.040816
false
0
0.061224
0.020408
0.163265
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
313f2defc3a370222bbd7525f5b1756e0fdd639e
1,454
py
Python
exam_at_home/2/boolean_expression.py
jamie-jjd/110_spring_IDS
7f15c0c73b9d663373b791b9ddcc836957dcc3d2
[ "MIT" ]
2
2022-02-21T10:37:22.000Z
2022-03-02T01:43:30.000Z
exam_at_home/2/boolean_expression.py
jamie-jjd/110_spring_IDS
7f15c0c73b9d663373b791b9ddcc836957dcc3d2
[ "MIT" ]
null
null
null
exam_at_home/2/boolean_expression.py
jamie-jjd/110_spring_IDS
7f15c0c73b9d663373b791b9ddcc836957dcc3d2
[ "MIT" ]
3
2022-02-21T05:06:19.000Z
2022-03-27T07:58:11.000Z
# author: jamie # email: jinjiedeng.jjd@gmail.com def Priority (c): if c == '&': return 3 elif c == '|': return 2 elif c == '^': return 1 elif c == '(': return 0 def InfixToPostfix (infix, postfix): stack = [] for c in infix: if c == '(': stack.append('(') elif c =...
29.673469
68
0.462861
171
1,454
3.883041
0.269006
0.060241
0.072289
0.09488
0.218373
0.197289
0.197289
0.100904
0.100904
0.100904
0
0.009615
0.356259
1,454
49
69
29.673469
0.699786
0.030949
0
0.159091
0
0
0.020611
0
0
0
0
0
0
1
0.068182
false
0
0
0
0.090909
0.022727
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31416eaefbae7d0e56e7b72dee697c6ec5ef4bc8
1,015
py
Python
ciclo.py
BeltetonJosue96/Ejercicio3Python
2ee1584be1b1f1a096d9793a581013b1303feec4
[ "CC0-1.0" ]
null
null
null
ciclo.py
BeltetonJosue96/Ejercicio3Python
2ee1584be1b1f1a096d9793a581013b1303feec4
[ "CC0-1.0" ]
null
null
null
ciclo.py
BeltetonJosue96/Ejercicio3Python
2ee1584be1b1f1a096d9793a581013b1303feec4
[ "CC0-1.0" ]
null
null
null
class Ciclo: def __init__(self): self.cicloNew = () self.respu = () self.a = () self.b = () self.c = () def nuevoCiclo(self): cicloNew = [] print(" ") print("Formulario de ingreso de ciclos") print("-----------------------------------") ...
31.71875
90
0.429557
102
1,015
4.254902
0.45098
0.092166
0.050691
0.078341
0.124424
0
0
0
0
0
0
0.005997
0.342857
1,015
32
91
31.71875
0.641679
0
0
0.233333
0
0
0.274606
0.068898
0
0
0
0
0
1
0.066667
false
0
0
0
0.133333
0.4
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3143940a1c35677273eb448afe16a887f6eec384
4,997
py
Python
timeglass.py
mountwebs/timeglass
2f527e190cb90199cdd3a29ea7625e1f561fe01c
[ "MIT" ]
110
2020-05-07T12:00:28.000Z
2022-03-05T17:52:13.000Z
timeglass.py
mountwebs/timeglass
2f527e190cb90199cdd3a29ea7625e1f561fe01c
[ "MIT" ]
4
2020-05-07T12:01:21.000Z
2021-01-01T14:23:59.000Z
timeglass.py
mountwebs/timeglass
2f527e190cb90199cdd3a29ea7625e1f561fe01c
[ "MIT" ]
6
2020-05-07T16:16:53.000Z
2021-11-10T02:42:00.000Z
import rumps import sys import icon_manager from datetime import timedelta import timekeeper import os # pyinstaller --onefile -w --add-data "Icons/:Icons" --icon="Icons/timeglass.png" --clean timeglass.spec # rumps.debug_mode(True) class TimerApp(rumps.App): def __init__(self, initial_seconds): super(Ti...
33.092715
132
0.553932
566
4,997
4.734982
0.229682
0.03806
0.029851
0.033582
0.235821
0.127612
0.127612
0.092537
0.044776
0
0
0.006284
0.331199
4,997
150
133
33.313333
0.795631
0.025815
0
0.29771
0
0
0.069285
0.004729
0
0
0
0
0
1
0.083969
false
0
0.045802
0
0.160305
0.030534
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31449da74730870d929a003f3070a25b350f24be
1,869
py
Python
utils/logger.py
huangxd-/BTC-ISMIR19
cc2df75de9aba9af1c240a243ca167b1a8b07f7b
[ "MIT" ]
82
2019-07-04T06:12:15.000Z
2022-03-07T06:47:42.000Z
utils/logger.py
sungbohsun/b19
8d376c4284bd843664d81e3602d6e3e106d23cd4
[ "MIT" ]
4
2020-01-28T01:47:24.000Z
2021-05-21T16:45:39.000Z
utils/logger.py
sungbohsun/b19
8d376c4284bd843664d81e3602d6e3e106d23cd4
[ "MIT" ]
13
2019-10-12T04:34:38.000Z
2022-01-03T02:13:31.000Z
import logging import os import sys import time project_name = os.getcwd().split('/')[-1] _logger = logging.getLogger(project_name) _logger.addHandler(logging.StreamHandler()) def _log_prefix(): # Returns (filename, line number) for the stack frame. def _get_file_line(): # pylint: disable=protected...
25.60274
85
0.594971
237
1,869
4.468354
0.350211
0.0661
0.122757
0.089707
0.197356
0.167139
0.167139
0.135977
0
0
0
0.017304
0.257892
1,869
72
86
25.958333
0.746215
0.11236
0
0.044444
0
0
0.037644
0
0
0
0
0
0
1
0.177778
false
0
0.088889
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3144e6270af5c5cebfce71812937eeb79f014048
882
py
Python
setup.py
VNOpenAI/OpenControl
0087408c57bc77f34f524b28f8c4363b116700bb
[ "MIT" ]
5
2021-07-05T18:03:45.000Z
2021-07-16T09:31:02.000Z
setup.py
VNOpenAI/OpenControl
0087408c57bc77f34f524b28f8c4363b116700bb
[ "MIT" ]
null
null
null
setup.py
VNOpenAI/OpenControl
0087408c57bc77f34f524b28f8c4363b116700bb
[ "MIT" ]
null
null
null
import setuptools ver = {} with open('OpenControl/_version.py') as fd: exec(fd.read(), ver) version = ver.get('__version__') with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setuptools.setup( name="OpenControl", version=version, author="VNOpenAI", author_e...
29.4
72
0.659864
100
882
5.67
0.67
0.10582
0.067019
0.10582
0
0
0
0
0
0
0
0.00838
0.188209
882
30
73
29.4
0.78352
0
0
0
0
0
0.388448
0.026048
0
0
0
0
0
1
0
false
0
0.037037
0
0.037037
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3146dc4305a3e628e2c3b3c5cb8a0e5989294e0f
8,919
py
Python
tests/ui/test_pvc_ui.py
MeridianExplorer/ocs-ci
a33d5116128b88f176f5eff68a3ef805125cdba1
[ "MIT" ]
null
null
null
tests/ui/test_pvc_ui.py
MeridianExplorer/ocs-ci
a33d5116128b88f176f5eff68a3ef805125cdba1
[ "MIT" ]
null
null
null
tests/ui/test_pvc_ui.py
MeridianExplorer/ocs-ci
a33d5116128b88f176f5eff68a3ef805125cdba1
[ "MIT" ]
null
null
null
import logging import pytest from ocs_ci.framework.testlib import tier1, skipif_ui_not_support, ui from ocs_ci.ocs.ui.pvc_ui import PvcUI from ocs_ci.framework.testlib import skipif_ocs_version from ocs_ci.framework.pytest_customization.marks import green_squad from ocs_ci.ocs.resources.pvc import get_all_pvc_objs, ge...
31.40493
92
0.595582
1,101
8,919
4.508629
0.155313
0.040894
0.033239
0.039484
0.514504
0.417002
0.336422
0.258461
0.25282
0.190169
0
0.006094
0.319206
8,919
283
93
31.515901
0.81143
0.056396
0
0.440367
0
0
0.163008
0.038263
0
0
0
0
0.03211
1
0.009174
false
0
0.059633
0
0.073395
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3146f37afae0ee7bf1ffcaaddfa9a23cd4051a59
1,955
py
Python
feature_generation/datasets/CSCW.py
s0lvang/ideal-pancake
f7a55f622b02b03a987d74cfdff1c51288bfb657
[ "MIT" ]
6
2020-09-22T06:54:51.000Z
2021-03-25T05:38:05.000Z
feature_generation/datasets/CSCW.py
s0lvang/ideal-pancake
f7a55f622b02b03a987d74cfdff1c51288bfb657
[ "MIT" ]
12
2020-09-21T13:20:49.000Z
2021-04-07T08:01:12.000Z
feature_generation/datasets/CSCW.py
s0lvang/ideal-pancake
f7a55f622b02b03a987d74cfdff1c51288bfb657
[ "MIT" ]
null
null
null
import pandas as pd from feature_generation.datasets.Timeseries import Timeseries from os.path import basename class CSCW(Timeseries): def __init__(self): super().__init__("cscw") self.column_name_mapping = { "id": self.column_names["subject_id"], "Fixation Start [ms]": sel...
39.897959
78
0.636317
228
1,955
5.135965
0.328947
0.085397
0.102477
0.043553
0.148591
0.064902
0
0
0
0
0
0.00409
0.249616
1,955
48
79
40.729167
0.794138
0
0
0.046512
0
0
0.102302
0
0
0
0
0
0
1
0.093023
false
0
0.069767
0.023256
0.255814
0.023256
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
314716be771983df86f570f640cfc57d97707513
16,103
py
Python
reactics-smt/rs/reaction_system_with_concentrations.py
arturmeski/reactics
a565b5bf5ec671ccad4bbdab38ad264b9d8369cc
[ "MIT" ]
2
2019-03-04T08:51:00.000Z
2019-11-04T10:42:13.000Z
reactics-smt/rs/reaction_system_with_concentrations.py
arturmeski/reactics
a565b5bf5ec671ccad4bbdab38ad264b9d8369cc
[ "MIT" ]
null
null
null
reactics-smt/rs/reaction_system_with_concentrations.py
arturmeski/reactics
a565b5bf5ec671ccad4bbdab38ad264b9d8369cc
[ "MIT" ]
null
null
null
from sys import exit from colour import * from rs.reaction_system import ReactionSystem class ReactionSystemWithConcentrations(ReactionSystem): def __init__(self): self.reactions = [] self.meta_reactions = dict() self.permanent_entities = dict() self.background_set = [] ...
37.103687
145
0.541949
1,871
16,103
4.404062
0.112239
0.022087
0.041019
0.035073
0.516384
0.436893
0.353155
0.314442
0.295995
0.284102
0
0.005208
0.368006
16,103
433
146
37.189376
0.804461
0.048376
0
0.373041
0
0
0.057167
0.001375
0
0
0
0
0
1
0.090909
false
0.003135
0.009404
0.003135
0.163009
0.040752
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3147807fd05cce08c68a76d2267bf8400ec93917
9,241
py
Python
src/models/cnn_train.py
zh272/AIGOGO
0255cf8c4776358b73ee6b1792325a151a0cfa78
[ "BSD-3-Clause" ]
null
null
null
src/models/cnn_train.py
zh272/AIGOGO
0255cf8c4776358b73ee6b1792325a151a0cfa78
[ "BSD-3-Clause" ]
null
null
null
src/models/cnn_train.py
zh272/AIGOGO
0255cf8c4776358b73ee6b1792325a151a0cfa78
[ "BSD-3-Clause" ]
null
null
null
import os import time import fire import torch import random import numpy as np import pandas as pd import torch.nn.functional as F ## to detach from monitor import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from trainer import Trainer from model import ConvNet1D from helpers imp...
37.872951
136
0.634455
1,244
9,241
4.445338
0.200161
0.018445
0.029837
0.01736
0.310488
0.258047
0.194756
0.16094
0.118264
0.088969
0
0.015988
0.235148
9,241
244
137
37.872951
0.766412
0.081918
0
0.069364
0
0
0.127696
0.009314
0
0
0
0
0
1
0.028902
false
0
0.092486
0
0.127168
0.023121
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31489fbab4ef2b5a4414a0a8b4a377eb59e53266
730
py
Python
tests/fetchers/test_hvdcLineCktOwnersFetcher.py
rohit98077/mis_outages_ingest
1f563962ea8f93ed1825a7e07bde231b67240bcb
[ "MIT" ]
null
null
null
tests/fetchers/test_hvdcLineCktOwnersFetcher.py
rohit98077/mis_outages_ingest
1f563962ea8f93ed1825a7e07bde231b67240bcb
[ "MIT" ]
5
2020-09-19T08:52:48.000Z
2021-06-02T03:29:38.000Z
tests/fetchers/test_hvdcLineCktOwnersFetcher.py
rohit98077/mis_outages_ingest
1f563962ea8f93ed1825a7e07bde231b67240bcb
[ "MIT" ]
2
2020-09-19T08:45:47.000Z
2020-11-07T12:00:24.000Z
import unittest from src.fetchers.hvdcLineCktOwnersFetcher import getOwnersForHvdcLineCktIds import datetime as dt from src.appConfig import getConfig class TestHvdcLineCktOwnersFetcher(unittest.TestCase): appConfig: dict = {} def setUp(self): self.appConfig = getConfig() def test_run(self) -> N...
31.73913
82
0.680822
70
730
7.085714
0.614286
0.028226
0.068548
0
0
0
0
0
0
0
0
0.017794
0.230137
730
22
83
33.181818
0.864769
0.113699
0
0
0
0
0.108974
0.041667
0
0
0
0
0.066667
1
0.133333
false
0
0.266667
0
0.533333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
314a37a6a50187301c229c5c2b0248cf18eb14ce
5,995
py
Python
py/locationdb/geonames.py
acorg/locationdb
f3a70e254c3b81e12b8ddbbd02bb4baf7b1395b7
[ "MIT" ]
null
null
null
py/locationdb/geonames.py
acorg/locationdb
f3a70e254c3b81e12b8ddbbd02bb4baf7b1395b7
[ "MIT" ]
null
null
null
py/locationdb/geonames.py
acorg/locationdb
f3a70e254c3b81e12b8ddbbd02bb4baf7b1395b7
[ "MIT" ]
null
null
null
# -*- Python -*- # license # license. # ====================================================================== """Looks name up in the [geonames database](http://www.geonames.org/). [GeoNames Search Webservice API](http://www.geonames.org/export/geonames-search.html) """ import sys, os, urllib.request, json, time fro...
37.006173
177
0.481568
611
5,995
4.571195
0.258592
0.051557
0.039384
0.022914
0.265664
0.155388
0.139635
0.108127
0.099535
0.059434
0
0.008016
0.250876
5,995
161
178
37.236025
0.613894
0.212844
0
0.209091
0
0
0.163714
0.005336
0
0
0
0
0
1
0.118182
false
0
0.036364
0.018182
0.290909
0.036364
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
314b449f6ae2a854d067dfd6393a546317c348b5
2,921
py
Python
Array/271EncodeDecodeStrings.py
john-the-dev/leetcode
f1038a5357c841a0d3c8aca1ae1a7d0387f77545
[ "Apache-2.0" ]
null
null
null
Array/271EncodeDecodeStrings.py
john-the-dev/leetcode
f1038a5357c841a0d3c8aca1ae1a7d0387f77545
[ "Apache-2.0" ]
null
null
null
Array/271EncodeDecodeStrings.py
john-the-dev/leetcode
f1038a5357c841a0d3c8aca1ae1a7d0387f77545
[ "Apache-2.0" ]
null
null
null
# 271. Encode and Decode Strings ''' Design an algorithm to encode a list of strings to a string. The encoded string is then sent over the network and is decoded back to the original list of strings. Machine 1 (sender) has the function: string encode(vector<string> strs) { // ... your code return encoded_string; ...
30.113402
162
0.624444
432
2,921
4.215278
0.31713
0.032949
0.041186
0.048325
0.158155
0.158155
0.120813
0.120813
0.120813
0.093355
0
0.016811
0.246491
2,921
96
163
30.427083
0.810541
0.442999
0
0.311111
0
0
0.037938
0
0
0
0
0
0.088889
1
0.088889
false
0
0.022222
0
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3150323baad4c964b663614ac688ae658dd6c3a5
1,129
py
Python
tools/mo/openvino/tools/mo/front/caffe/proposal_ext.py
ryanloney/openvino-1
4e0a740eb3ee31062ba0df88fcf438564f67edb7
[ "Apache-2.0" ]
1,127
2018-10-15T14:36:58.000Z
2020-04-20T09:29:44.000Z
tools/mo/openvino/tools/mo/front/caffe/proposal_ext.py
ryanloney/openvino-1
4e0a740eb3ee31062ba0df88fcf438564f67edb7
[ "Apache-2.0" ]
439
2018-10-20T04:40:35.000Z
2020-04-19T05:56:25.000Z
tools/mo/openvino/tools/mo/front/caffe/proposal_ext.py
ryanloney/openvino-1
4e0a740eb3ee31062ba0df88fcf438564f67edb7
[ "Apache-2.0" ]
414
2018-10-17T05:53:46.000Z
2020-04-16T17:29:53.000Z
# Copyright (C) 2018-2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from openvino.tools.mo.front.common.partial_infer.utils import mo_array from openvino.tools.mo.ops.proposal import ProposalOp from openvino.tools.mo.front.caffe.collect_attributes import merge_attrs from openvino.tools.mo.front.extractor...
34.212121
72
0.681134
141
1,129
5.22695
0.468085
0.065129
0.092266
0.103121
0.097693
0
0
0
0
0
0
0.011494
0.229407
1,129
32
73
35.28125
0.835632
0.098317
0
0
0
0
0.079882
0
0
0
0
0
0
1
0.041667
false
0
0.166667
0
0.375
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315100585ad8fffd2754fc98108600f71764e4fa
3,271
py
Python
utils/datasets.py
LukasStruppek/Plug-and-Play-Attacks
f433f97531a5fb3e6f82965ecdde504e0eb1c4ab
[ "MIT" ]
null
null
null
utils/datasets.py
LukasStruppek/Plug-and-Play-Attacks
f433f97531a5fb3e6f82965ecdde504e0eb1c4ab
[ "MIT" ]
null
null
null
utils/datasets.py
LukasStruppek/Plug-and-Play-Attacks
f433f97531a5fb3e6f82965ecdde504e0eb1c4ab
[ "MIT" ]
1
2022-02-09T07:06:09.000Z
2022-02-09T07:06:09.000Z
import pickle import pandas as pd import torch import torch.nn as nn import torchvision.transforms as T from torch.utils import data from torch.utils.data import random_split from torch.utils.data.dataloader import DataLoader from torch.utils.data.dataset import Dataset from datasets.celeba import CelebA1000 from dat...
33.040404
78
0.697035
457
3,271
4.728665
0.212254
0.024988
0.03702
0.007404
0.368348
0.320222
0.303563
0.251735
0.251735
0.251735
0
0.010773
0.205442
3,271
98
79
33.377551
0.8207
0
0
0.24
0
0
0.125038
0.068481
0
0
0
0
0
1
0.133333
false
0
0.16
0
0.453333
0.013333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31517240d14ea2064075bc5b5b6dfd061de1cb2d
8,594
py
Python
applications/MappingApplication/test_examples/Fluid_SubModelling/MainKratos.py
AndreaVoltan/MyKratos7.0
e977752722e8ef1b606f25618c4bf8fd04c434cc
[ "BSD-4-Clause" ]
2
2020-04-30T19:13:08.000Z
2021-04-14T19:40:47.000Z
applications/MappingApplication/test_examples/Fluid_SubModelling/MainKratos.py
AndreaVoltan/MyKratos7.0
e977752722e8ef1b606f25618c4bf8fd04c434cc
[ "BSD-4-Clause" ]
1
2020-04-30T19:19:09.000Z
2020-05-02T14:22:36.000Z
applications/MappingApplication/test_examples/Fluid_SubModelling/MainKratos.py
AndreaVoltan/MyKratos7.0
e977752722e8ef1b606f25618c4bf8fd04c434cc
[ "BSD-4-Clause" ]
1
2020-06-12T08:51:24.000Z
2020-06-12T08:51:24.000Z
from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7 from KratosMultiphysics import * from KratosMultiphysics.IncompressibleFluidApplication import * from KratosMultiphysics.FluidDynamicsApplication import * from KratosMultiphysics.Exter...
40.729858
155
0.728764
942
8,594
6.29724
0.193206
0.03793
0.041639
0.037761
0.449764
0.400202
0.339346
0.292481
0.207519
0.188638
0
0.001943
0.161624
8,594
210
156
40.92381
0.821374
0.129509
0
0.256198
0
0
0.110832
0.035411
0
0
0
0.004762
0
1
0
false
0
0.107438
0
0.107438
0.024793
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3152a37b3680f114e554c550f939501a4b8c1547
4,475
py
Python
src/ga4gh/vrs/extras/vcf_annotation.py
reece/vmc-python
579e73063a6927f2a2734fa47b7efc7416ca2a25
[ "Apache-2.0" ]
1
2017-01-10T18:47:54.000Z
2017-01-10T18:47:54.000Z
src/ga4gh/vrs/extras/vcf_annotation.py
reece/vmc-python
579e73063a6927f2a2734fa47b7efc7416ca2a25
[ "Apache-2.0" ]
null
null
null
src/ga4gh/vrs/extras/vcf_annotation.py
reece/vmc-python
579e73063a6927f2a2734fa47b7efc7416ca2a25
[ "Apache-2.0" ]
null
null
null
""" Annotate VCF files with VRS Input Format: VCF Output Format: VCF The user should pass arguments for the VCF input, VCF output, & the vrs object file name. ex. python3 src/ga4gh/vrs/extras/vcf_annotation.py input.vcf.gz --out ./output.vcf.gz --vrs-file ./vrs_objects.pkl """ import argparse import sys import pick...
36.382114
104
0.666592
631
4,475
4.567353
0.277338
0.034351
0.029146
0.018737
0.115892
0.049965
0.041638
0
0
0
0
0.009321
0.232849
4,475
122
105
36.680328
0.830178
0.336983
0
0
0
0.015873
0.151526
0.070018
0
0
0
0
0
1
0.063492
false
0
0.126984
0
0.238095
0.047619
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3153b18dc5b355a77d44d559ba2a0ad4652444b2
11,438
py
Python
ci/infra/testrunner/utils/utils.py
butsoleg/skuba
1a363d4f3ca8fc33bfb0284043da26fe879c31a3
[ "Apache-2.0" ]
null
null
null
ci/infra/testrunner/utils/utils.py
butsoleg/skuba
1a363d4f3ca8fc33bfb0284043da26fe879c31a3
[ "Apache-2.0" ]
null
null
null
ci/infra/testrunner/utils/utils.py
butsoleg/skuba
1a363d4f3ca8fc33bfb0284043da26fe879c31a3
[ "Apache-2.0" ]
null
null
null
import glob import hashlib import logging import os import shutil import subprocess from functools import wraps from tempfile import gettempdir from threading import Thread import requests from timeout_decorator import timeout from utils.constants import Constant from utils.format import Format logger = logging.getL...
37.016181
128
0.573439
1,419
11,438
4.516561
0.24172
0.023873
0.026525
0.021844
0.2225
0.154158
0.147605
0.119363
0.088469
0.082852
0
0.006469
0.32427
11,438
308
129
37.136364
0.822746
0.204057
0
0.228972
0
0.014019
0.142694
0.023155
0
0
0
0.006494
0
1
0.079439
false
0.018692
0.060748
0
0.191589
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3154dea931b787a54d8711fa79545f3f1aea8641
1,076
py
Python
nonebot/command/argfilter/controllers.py
EVAyo/nonebot
2780ea4e8a1b6bb961f95a86e7e6b3983badf75f
[ "MIT" ]
676
2018-12-28T09:53:51.000Z
2020-04-10T16:28:57.000Z
nonebot/command/argfilter/controllers.py
EVAyo/nonebot
2780ea4e8a1b6bb961f95a86e7e6b3983badf75f
[ "MIT" ]
133
2018-12-27T16:01:35.000Z
2020-04-11T04:49:01.000Z
nonebot/command/argfilter/controllers.py
EVAyo/nonebot
2780ea4e8a1b6bb961f95a86e7e6b3983badf75f
[ "MIT" ]
164
2019-01-02T07:40:33.000Z
2020-04-11T06:54:30.000Z
""" 提供几种常用的控制器。 这些验证器通常需要提供一些参数进行一次调用,返回的结果才是真正的验证器,其中的技巧在于通过闭包使要控制的对象能够被内部函数访问。 版本: 1.3.0+ """ import re from nonebot import CommandSession from nonebot.helpers import render_expression def handle_cancellation(session: CommandSession): """ 在用户发送 `算了`、`不用了`、`取消吧`、`停` 之类的话的时候,结束当前传入的命令会话(调用 `session.finish(...
20.692308
115
0.621747
125
1,076
5.224
0.584
0.033691
0.070444
0.027565
0
0
0
0
0
0
0
0.006211
0.251859
1,076
51
116
21.098039
0.804969
0.267658
0
0.086957
0
0
0.087766
0.027926
0
0
0
0
0
1
0.130435
false
0
0.130435
0
0.478261
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31580ef618e975209c707f821f01726f7b8d5bf6
21,726
py
Python
hnn_core/dipole.py
chenghuzi/hnn-core
b974fed4317b9b03ec732850829d9c17841c6ee2
[ "BSD-3-Clause" ]
null
null
null
hnn_core/dipole.py
chenghuzi/hnn-core
b974fed4317b9b03ec732850829d9c17841c6ee2
[ "BSD-3-Clause" ]
null
null
null
hnn_core/dipole.py
chenghuzi/hnn-core
b974fed4317b9b03ec732850829d9c17841c6ee2
[ "BSD-3-Clause" ]
null
null
null
"""Class to handle the dipoles.""" # Authors: Mainak Jas <mjas@mgh.harvard.edu> # Sam Neymotin <samnemo@gmail.com> import warnings import numpy as np from copy import deepcopy from .viz import plot_dipole, plot_psd, plot_tfr_morlet def simulate_dipole(net, tstop, dt=0.025, n_trials=None, record_vsoma=Fals...
36.270451
79
0.589708
2,827
21,726
4.445348
0.20375
0.012732
0.011459
0.008117
0.263786
0.221533
0.183178
0.158192
0.142596
0.109891
0
0.015271
0.318835
21,726
598
80
36.331104
0.833908
0.496686
0
0.06701
0
0
0.106552
0
0
0
0
0
0
1
0.082474
false
0
0.041237
0
0.185567
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315848ad3b388abc47c5004cde951c763a8f0cc9
9,728
py
Python
openstates/openstates-master/openstates/ga/bills.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
openstates/openstates-master/openstates/ga/bills.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
openstates/openstates-master/openstates/ga/bills.py
Jgorsick/Advocacy_Angular
8906af3ba729b2303880f319d52bce0d6595764c
[ "CC-BY-4.0" ]
null
null
null
from billy.scrape.bills import BillScraper, Bill from billy.scrape.votes import Vote from collections import defaultdict from .util import get_client, get_url, backoff # Methods (7): # GetLegislationDetail(xs:int LegislationId, ) # # GetLegislationDetailByDescription(ns2:DocumentType Docu...
36.298507
82
0.42722
767
9,728
5.315515
0.328553
0.026981
0.00883
0.006868
0.080942
0
0
0
0
0
0
0.004559
0.436266
9,728
267
83
36.434457
0.738877
0.081517
0
0.046083
0
0.004608
0.187065
0.008197
0
0
0
0
0
1
0.009217
false
0.041475
0.018433
0
0.073733
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31586b0e8440ac0fb7f47895645a135f6339d512
15,014
py
Python
data/external/repositories_2to3/267667/kaggle-heart-master/generate_roi_pkl.py
Keesiu/meta-kaggle
87de739aba2399fd31072ee81b391f9b7a63f540
[ "MIT" ]
null
null
null
data/external/repositories_2to3/267667/kaggle-heart-master/generate_roi_pkl.py
Keesiu/meta-kaggle
87de739aba2399fd31072ee81b391f9b7a63f540
[ "MIT" ]
null
null
null
data/external/repositories_2to3/267667/kaggle-heart-master/generate_roi_pkl.py
Keesiu/meta-kaggle
87de739aba2399fd31072ee81b391f9b7a63f540
[ "MIT" ]
1
2019-12-04T08:23:33.000Z
2019-12-04T08:23:33.000Z
import argparse import numpy as np import glob import re from log import print_to_file from scipy.fftpack import fftn, ifftn from skimage.feature import peak_local_max, canny from skimage.transform import hough_circle import pickle as pickle from paths import TRAIN_DATA_PATH, LOGS_PATH, PKL_TRAIN_DATA_PATH, PK...
39.719577
128
0.566405
1,867
15,014
4.340653
0.158008
0.016288
0.017769
0.018263
0.29541
0.277764
0.248643
0.186575
0.155602
0.155602
0
0.031068
0.301119
15,014
377
129
39.824934
0.741256
0.06747
0
0.192857
0
0
0.080383
0.011873
0
0
0
0
0
1
0.042857
false
0.003571
0.039286
0.003571
0.121429
0.028571
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315a3b06d331b60c879edde3bb3f8225ff91970d
2,280
py
Python
app/api/v2/models/product.py
danuluma/dannstore
e5b59f08542c1cacdac60e380b5c2945195ba64a
[ "MIT" ]
null
null
null
app/api/v2/models/product.py
danuluma/dannstore
e5b59f08542c1cacdac60e380b5c2945195ba64a
[ "MIT" ]
21
2018-10-16T09:29:03.000Z
2022-03-11T23:31:35.000Z
app/api/v2/models/product.py
danuluma/dannstore
e5b59f08542c1cacdac60e380b5c2945195ba64a
[ "MIT" ]
null
null
null
import os import sys LOCALPATH = os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, LOCALPATH + '/../../../../') from app.api.v2.db import Db def format_book(book): """Formats the results to a dictionary""" book = { "id": book[0], "title": book[1], "description": book[2],...
29.230769
251
0.542105
300
2,280
3.993333
0.3
0.035058
0.040067
0.033389
0.116861
0.040067
0.040067
0
0
0
0
0.02252
0.279386
2,280
77
252
29.61039
0.706634
0.089912
0
0.08
0
0.04
0.334808
0
0
0
0
0
0
1
0.14
false
0
0.06
0
0.32
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315b4dedab79caa0f06b6a0165468d87637edc35
13,809
py
Python
pbq/pbq.py
amirdor/pbq
7e83a461c10d1d7284ccfb0ad278285be57d859d
[ "MIT" ]
null
null
null
pbq/pbq.py
amirdor/pbq
7e83a461c10d1d7284ccfb0ad278285be57d859d
[ "MIT" ]
null
null
null
pbq/pbq.py
amirdor/pbq
7e83a461c10d1d7284ccfb0ad278285be57d859d
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """Main module.""" import os from google.cloud import bigquery from pbq.query import Query from google.cloud import bigquery_storage_v1beta1 from google.cloud.exceptions import NotFound from google.api_core.exceptions import BadRequest import pandas as pd import datetime class PBQ(object): ...
33.194712
119
0.608444
1,666
13,809
4.90036
0.136255
0.022048
0.0256
0.017638
0.531235
0.479789
0.463008
0.386085
0.380941
0.359628
0
0.002606
0.305308
13,809
415
120
33.274699
0.848431
0.375697
0
0.304636
0
0
0.072739
0.008112
0
0
0
0
0
1
0.07947
false
0
0.05298
0
0.18543
0.02649
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315b6ac655327cef9390472518effc0e9ec5a90d
14,829
py
Python
appvalidator/specprocessor.py
mstriemer/app-validator
ceaa373965192e3e08e7b38476cca09d44b345e7
[ "BSD-3-Clause" ]
20
2015-01-16T21:35:27.000Z
2021-11-11T00:22:43.000Z
appvalidator/specprocessor.py
mstriemer/app-validator
ceaa373965192e3e08e7b38476cca09d44b345e7
[ "BSD-3-Clause" ]
14
2015-01-15T21:26:33.000Z
2016-01-18T16:47:15.000Z
appvalidator/specprocessor.py
mstriemer/app-validator
ceaa373965192e3e08e7b38476cca09d44b345e7
[ "BSD-3-Clause" ]
14
2015-02-14T22:42:40.000Z
2021-11-11T00:22:33.000Z
import re import types from functools import partial LITERAL_TYPE = types.StringTypes + (int, float, long, bool, ) class Spec(object): """ This object, when overridden with an object that implements a file format specification, will perform validation on a given parsed version of the format input. ...
43.872781
80
0.534763
1,701
14,829
4.496767
0.160494
0.045758
0.028239
0.020918
0.276115
0.217676
0.153876
0.129821
0.105373
0.084194
0
0
0.378717
14,829
337
81
44.002967
0.83024
0.211005
0
0.190476
0
0
0.172516
0
0
0
0
0
0
1
0.066667
false
0.02381
0.014286
0.004762
0.133333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315c5ece992cd3a2685eecad7131fd0199252e5a
16,739
py
Python
rotkehlchen/api/server.py
rotkehlchenio/rotkehlchen
98f49cd3ed26c641fec03b78eff9fe1872385fbf
[ "BSD-3-Clause" ]
137
2018-03-05T11:53:29.000Z
2019-11-03T16:38:42.000Z
rotkehlchen/api/server.py
rotkehlchenio/rotkehlchen
98f49cd3ed26c641fec03b78eff9fe1872385fbf
[ "BSD-3-Clause" ]
385
2018-03-08T12:43:41.000Z
2019-11-10T09:15:36.000Z
rotkehlchen/api/server.py
rotkehlchenio/rotkehlchen
98f49cd3ed26c641fec03b78eff9fe1872385fbf
[ "BSD-3-Clause" ]
59
2018-03-08T10:08:27.000Z
2019-10-26T11:30:44.000Z
import json import logging from http import HTTPStatus from typing import Any, Dict, List, Optional, Tuple, Type, Union import werkzeug from flask import Blueprint, Flask, Response, abort, jsonify from flask.views import MethodView from flask_cors import CORS from gevent.pywsgi import WSGIServer from geventwebsocket i...
38.837587
98
0.714798
1,356
16,739
8.696165
0.315634
0.045115
0.058769
0.009837
0.059447
0.01925
0.01289
0
0
0
0
0.004578
0.177848
16,739
430
99
38.927907
0.852274
0.035187
0
0.080808
0
0
0.219974
0.160822
0
0
0
0
0
1
0.020202
false
0.005051
0.058081
0
0.088384
0.025253
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315dcc7fa72c3932ae805d3e9b9008f00630dab8
15,428
py
Python
generator/framework/analyser/analyser.py
sinsay/ds_generator
9365e22e8730418caf29b8ed6ada1f30f936a297
[ "Apache-2.0" ]
null
null
null
generator/framework/analyser/analyser.py
sinsay/ds_generator
9365e22e8730418caf29b8ed6ada1f30f936a297
[ "Apache-2.0" ]
null
null
null
generator/framework/analyser/analyser.py
sinsay/ds_generator
9365e22e8730418caf29b8ed6ada1f30f936a297
[ "Apache-2.0" ]
null
null
null
import inspect import re import types from collections import namedtuple from typing import List, Union, Dict from flask_restplus import fields from ...common import MetaData, Entry, Arg, ArgSource, RpcType,\ type_def, rpc_doc_args_key, rpc_doc_resp_key, rpc_impl_rename from ...common.web.namespace import get_nam...
29.899225
118
0.598004
1,918
15,428
4.564651
0.153285
0.019189
0.019303
0.008224
0.135922
0.091947
0.058938
0.028098
0.028098
0.028098
0
0.000646
0.297641
15,428
515
119
29.957282
0.807309
0.103772
0
0.144578
0
0
0.057183
0.005192
0
0
0
0.001942
0
1
0.042169
false
0.006024
0.024096
0.006024
0.126506
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
315e0a58614b3057e6b0218dbfb71a1a5db2f377
5,306
py
Python
bot/helper/mirror_utils/download_utils/telegram_downloader.py
vincreator/Eunha
85a702a5b5f30ccea1798122c261d4ff07fe0c0c
[ "Apache-2.0" ]
null
null
null
bot/helper/mirror_utils/download_utils/telegram_downloader.py
vincreator/Eunha
85a702a5b5f30ccea1798122c261d4ff07fe0c0c
[ "Apache-2.0" ]
null
null
null
bot/helper/mirror_utils/download_utils/telegram_downloader.py
vincreator/Eunha
85a702a5b5f30ccea1798122c261d4ff07fe0c0c
[ "Apache-2.0" ]
null
null
null
import logging import random from time import time from threading import RLock, Lock, Thread from bot import LOGGER, download_dict, download_dict_lock, app, STOP_DUPLICATE, STORAGE_THRESHOLD from bot.helper.ext_utils.bot_utils import get_readable_file_size from ..status_utils.telegram_download_status import TelegramD...
40.503817
104
0.604222
571
5,306
5.311734
0.281961
0.059347
0.017145
0.019782
0.116386
0.024398
0.024398
0
0
0
0
0.002218
0.320204
5,306
130
105
40.815385
0.838647
0.012062
0
0.147826
0
0
0.082634
0.009733
0
0
0
0
0
1
0.078261
false
0.017391
0.086957
0
0.217391
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
316518dbc6fa99ee74801a883d9600ed91d0c3e7
1,101
py
Python
scrim/globals.py
danbradham/scrim
982a5db1db6e4ef40267f15642af2c7ea0e803ae
[ "MIT" ]
4
2018-06-21T20:14:11.000Z
2021-04-28T20:34:43.000Z
scrim/globals.py
danbradham/scrim
982a5db1db6e4ef40267f15642af2c7ea0e803ae
[ "MIT" ]
null
null
null
scrim/globals.py
danbradham/scrim
982a5db1db6e4ef40267f15642af2c7ea0e803ae
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- ''' ============= scrim.globals ============= Defines variables passed into the python script via Environment Variables by scrim scripts. If SCRIM_SHELL is None, then the python script was not executed by a scrim script. SHELLS (list): list of available shells SCRIM_SHELL (str): Parent ...
32.382353
78
0.710263
160
1,101
4.66875
0.375
0.103079
0.080321
0.113788
0.056225
0
0
0
0
0
0
0.001081
0.159855
1,101
33
79
33.363636
0.806486
0.540418
0
0
0
0
0.303213
0
0
0
0
0
0
1
0
false
0
0.125
0
0.125
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31679637922287de633bd72c77660e49f2f5bfb1
2,693
py
Python
virtual/lib/python3.6/site-packages/isbnlib/_goob.py
david12-wq/PITCHE_APP
258e88a91a3f77fc316ece49edee6aa11eaaf2e0
[ "MIT" ]
null
null
null
virtual/lib/python3.6/site-packages/isbnlib/_goob.py
david12-wq/PITCHE_APP
258e88a91a3f77fc316ece49edee6aa11eaaf2e0
[ "MIT" ]
null
null
null
virtual/lib/python3.6/site-packages/isbnlib/_goob.py
david12-wq/PITCHE_APP
258e88a91a3f77fc316ece49edee6aa11eaaf2e0
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """Query the Google Books (JSON API v1) service for metadata.""" import logging from .dev import stdmeta from .dev._bouth23 import u from .dev._exceptions import ISBNNotConsistentError, RecordMappingError from .dev.webquery import query as wquery UA = 'isbnlib (gzip)' SERVICE_URL = ( 'htt...
37.402778
79
0.625325
314
2,693
5.318471
0.353503
0.02994
0.038922
0.022754
0.109581
0.05509
0.05509
0.05509
0.05509
0.05509
0
0.010135
0.230598
2,693
71
80
37.929577
0.795849
0.213517
0
0.163265
0
0
0.225636
0.06529
0
0
0
0
0
1
0.061224
false
0
0.102041
0
0.265306
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3169daa74af1845e0439f54da803485adef48067
11,534
py
Python
jinahub/indexers/storage/PostgreSQLStorage/tests/test_postgres_dbms.py
Taekyoon/executors
567f12c4193bb7be814f84540ea31585cd35b344
[ "Apache-2.0" ]
29
2021-07-26T07:16:38.000Z
2022-03-27T15:10:34.000Z
jinahub/indexers/storage/PostgreSQLStorage/tests/test_postgres_dbms.py
Taekyoon/executors
567f12c4193bb7be814f84540ea31585cd35b344
[ "Apache-2.0" ]
176
2021-07-23T08:30:21.000Z
2022-03-14T12:29:06.000Z
jinahub/indexers/storage/PostgreSQLStorage/tests/test_postgres_dbms.py
Taekyoon/executors
567f12c4193bb7be814f84540ea31585cd35b344
[ "Apache-2.0" ]
16
2021-07-26T20:55:40.000Z
2022-03-18T15:32:17.000Z
import os import time from pathlib import Path import numpy as np import pytest from jina import Document, DocumentArray, Executor, Flow from jina.logging.profile import TimeContext from jina_commons.indexers.dump import import_metas, import_vectors from ..postgres_indexer import PostgreSQLStorage from ..postgreshand...
32.398876
86
0.660135
1,477
11,534
4.891672
0.163846
0.080969
0.024913
0.033218
0.462699
0.409135
0.358201
0.341315
0.291903
0.28083
0
0.013312
0.23149
11,534
355
87
32.490141
0.801782
0.026444
0
0.289855
0
0
0.075223
0.004189
0
0
0
0
0.130435
1
0.054348
false
0
0.047101
0
0.105072
0.003623
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
316b197711d08876516f43059dd4d069e90c4efc
9,605
py
Python
scenarios/sync_sheets_and_groups.py
Ragnaruk/api_integration
a91b955ff09830a29829f9b820355045e724f83e
[ "MIT" ]
null
null
null
scenarios/sync_sheets_and_groups.py
Ragnaruk/api_integration
a91b955ff09830a29829f9b820355045e724f83e
[ "MIT" ]
null
null
null
scenarios/sync_sheets_and_groups.py
Ragnaruk/api_integration
a91b955ff09830a29829f9b820355045e724f83e
[ "MIT" ]
null
null
null
import pickle from time import sleep import googleapiclient.errors from transliterate import translit from logs.logging import get_logger from api_google.google_api_sheets import get_sheets_service, get_multiple_ranges from api_google.google_api_directory import get_directory_service, get_users_for_domain, \ get_...
38.42
100
0.504112
997
9,605
4.607823
0.158475
0.050283
0.031345
0.041794
0.393992
0.320418
0.254027
0.141924
0.141924
0.104049
0
0.005817
0.391463
9,605
249
101
38.574297
0.780154
0.46861
0
0.063492
0
0
0.055488
0.00891
0
0
0
0.004016
0
1
0.015873
false
0
0.142857
0
0.15873
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
316d44c48b3f5f89c962c9581225af2c135bfd22
15,800
py
Python
PythonAPI/util/check_lidar_bb.py
inverted-ai/carla
4233fe931073fdd47ee72cc841c4de15aba68386
[ "MIT" ]
null
null
null
PythonAPI/util/check_lidar_bb.py
inverted-ai/carla
4233fe931073fdd47ee72cc841c4de15aba68386
[ "MIT" ]
null
null
null
PythonAPI/util/check_lidar_bb.py
inverted-ai/carla
4233fe931073fdd47ee72cc841c4de15aba68386
[ "MIT" ]
1
2020-03-09T20:34:51.000Z
2020-03-09T20:34:51.000Z
#!/usr/bin/env python # Copyright (c) 2020 Computer Vision Center (CVC) at the Universitat Autonoma de # Barcelona (UAB). # # This work is licensed under the terms of the MIT license. # For a copy, see <https://opensource.org/licenses/MIT>. """ Lidar/BB check for CARLA This script obtains the LiDAR's point cloud cor...
42.473118
131
0.641582
2,250
15,800
4.351111
0.178667
0.038509
0.047395
0.060674
0.318693
0.273544
0.24239
0.211747
0.120225
0.100102
0
0.032593
0.231013
15,800
371
132
42.587601
0.773169
0.205823
0
0.104603
0
0.008368
0.078794
0.008559
0
0
0
0
0
1
0.079498
false
0.004184
0.029289
0
0.150628
0.07113
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
316eeacabbf87d7b1bf94354ea4d069d44ec787b
1,797
py
Python
claim.py
bukovyn/claim
506bee564368e991c316e728e211d81cf7cba870
[ "MIT" ]
null
null
null
claim.py
bukovyn/claim
506bee564368e991c316e728e211d81cf7cba870
[ "MIT" ]
null
null
null
claim.py
bukovyn/claim
506bee564368e991c316e728e211d81cf7cba870
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 """ Text files created on DOS/Windows machines have different line endings than files created on Unix/Linux. DOS uses carriage return and new line ("\r\n") as a line ending, while Unix uses just new line ("\n"). The purpose of this script is to have a quick, on the go, shell friendly...
26.820896
88
0.608236
228
1,797
4.741228
0.504386
0.030527
0.025902
0.037003
0
0
0
0
0
0
0
0.003072
0.275459
1,797
66
89
27.227273
0.827189
0.391208
0
0
0
0
0.135509
0
0
0
0
0
0
1
0.103448
false
0
0.068966
0
0.206897
0.034483
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31705467ec2a06cfd21ab38f7b5f8cfa554d22cc
1,066
py
Python
Learning-Python/Jumble-Solver/jumble_solver.py
oliverkeen/Sandbox
40e2a9239a81ebaeff6e7b34ed8329c6796d71f5
[ "MIT" ]
null
null
null
Learning-Python/Jumble-Solver/jumble_solver.py
oliverkeen/Sandbox
40e2a9239a81ebaeff6e7b34ed8329c6796d71f5
[ "MIT" ]
null
null
null
Learning-Python/Jumble-Solver/jumble_solver.py
oliverkeen/Sandbox
40e2a9239a81ebaeff6e7b34ed8329c6796d71f5
[ "MIT" ]
null
null
null
# Oliver Keen # Software Engineering 001 # jumble_solver.py # 2/17/2021 # Assignment: # Consider the game "Jumble" # https://www.sandiegouniontribune.com/sd-jumble-daily-htmlstory.html # Create a Python program to find the individual words in Jumble puzzles such # that INJURE prints after entering the following: solve...
28.810811
78
0.673546
134
1,066
5.343284
0.641791
0.01676
0.022346
0
0
0
0
0
0
0
0
0.012531
0.251407
1,066
36
79
29.611111
0.884712
0.49531
0
0
0
0
0
0
0
0
0
0
0
1
0.0625
false
0
0.1875
0
0.25
0.0625
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
317065682fd309f044a68646decdf80a32e30ac3
19,137
py
Python
msm/skill_entry.py
luca-vercelli/mycroft-skills-manager
e8ac06132ca5d5fe8a56efdd28ee3968958d3323
[ "Apache-2.0" ]
null
null
null
msm/skill_entry.py
luca-vercelli/mycroft-skills-manager
e8ac06132ca5d5fe8a56efdd28ee3968958d3323
[ "Apache-2.0" ]
null
null
null
msm/skill_entry.py
luca-vercelli/mycroft-skills-manager
e8ac06132ca5d5fe8a56efdd28ee3968958d3323
[ "Apache-2.0" ]
null
null
null
# Copyright (c) 2018 Mycroft AI, Inc. # # This file is part of Mycroft Skills Manager # (see https://github.com/MycroftAI/mycroft-skills-manager). # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional inf...
34.234347
87
0.576684
2,252
19,137
4.764654
0.206039
0.017894
0.012302
0.005965
0.092917
0.06123
0.037745
0.033085
0.025349
0.01398
0
0.002391
0.322569
19,137
558
88
34.295699
0.825285
0.119089
0
0.194379
0
0
0.081311
0.003034
0
0
0
0.001792
0
1
0.081967
false
0.004684
0.051522
0.023419
0.234192
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3171f6a5227dcae1608234024716446ac61ead63
4,588
py
Python
AIJ Filter Collection/AIJ_Night_Filters.py
kjkoeller/BSU-Code
0b4016d0e3f823c9f8fe224a09a80c1421eedfdb
[ "MIT" ]
1
2022-03-12T01:04:15.000Z
2022-03-12T01:04:15.000Z
AIJ Filter Collection/AIJ_Night_Filters.py
kjkoeller/BSU-Code
0b4016d0e3f823c9f8fe224a09a80c1421eedfdb
[ "MIT" ]
null
null
null
AIJ Filter Collection/AIJ_Night_Filters.py
kjkoeller/BSU-Code
0b4016d0e3f823c9f8fe224a09a80c1421eedfdb
[ "MIT" ]
null
null
null
""" Created: November 11, 2020 Author: Kyle Koeller Python Version 3.9 This program is meant to make the process of collecting the different filters from AIJ excel spreadsheets faster. The user enters however many nights they have and the program goes through and checks those text files for the different columns for,H...
37.300813
114
0.623147
669
4,588
4.201794
0.345291
0.014941
0.014941
0.013874
0.076841
0.046247
0.046247
0.046247
0.046247
0.046247
0
0.013488
0.305144
4,588
122
115
37.606557
0.868256
0.366609
0
0.263889
0
0
0.304729
0
0
0
0
0
0
1
0.027778
false
0
0.027778
0
0.055556
0.194444
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3174581bfbf5c193b24ab07d26b208bd2900562c
1,073
py
Python
util/textbox_utils.py
yannl35133/sslib
4c58487989aa06490a90cbcd0aa4c760937a9278
[ "MIT" ]
null
null
null
util/textbox_utils.py
yannl35133/sslib
4c58487989aa06490a90cbcd0aa4c760937a9278
[ "MIT" ]
null
null
null
util/textbox_utils.py
yannl35133/sslib
4c58487989aa06490a90cbcd0aa4c760937a9278
[ "MIT" ]
null
null
null
CHARACTERS_PER_LINE = 39 def break_lines(text): chars_in_line = 1 final_text = '' skip = False for char in text: if chars_in_line >= CHARACTERS_PER_LINE: if char == ' ': # we happen to be on a space, se we can just break here final_text += '\n' ...
33.53125
111
0.538677
144
1,073
3.784722
0.472222
0.148624
0.080734
0.044037
0
0
0
0
0
0
0
0.013235
0.366263
1,073
31
112
34.612903
0.788235
0.091333
0
0.08
0
0
0.12963
0
0
0
0
0
0
1
0.04
false
0
0
0
0.08
0.12
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31759cd8846fcd05727a01352dd32131306245ac
8,957
py
Python
tensorflow/load_mnist.py
stone-zeng/ising
f71ebdba0b91d1912620fe2af8fd211aa6075846
[ "MIT" ]
1
2019-12-06T13:57:43.000Z
2019-12-06T13:57:43.000Z
tensorflow/load_mnist.py
stone-zeng/ising
f71ebdba0b91d1912620fe2af8fd211aa6075846
[ "MIT" ]
1
2019-08-01T15:56:28.000Z
2019-08-01T15:56:28.000Z
tensorflow/load_mnist.py
stone-zeng/ising
f71ebdba0b91d1912620fe2af8fd211aa6075846
[ "MIT" ]
2
2020-07-21T15:25:13.000Z
2021-07-18T18:39:59.000Z
"""Loading MNIST dataset. """ import struct import numpy as np class MNIST: """ Loading MNIST dataset. In the directory of MNIST dataset, there should be the following files: - Training set: - train-images-idx3-ubyte - train-labels-idx1-ubyte - Test set: ...
35.543651
97
0.577984
1,148
8,957
4.29007
0.186411
0.029239
0.023756
0.024365
0.305584
0.233299
0.170558
0.136041
0.070051
0.070051
0
0.028227
0.323657
8,957
251
98
35.685259
0.784747
0.294407
0
0.122449
0
0
0.053
0.020667
0
0
0
0
0
1
0.095238
false
0
0.027211
0
0.217687
0.040816
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3175e1912bfa26c6bcd08777e69b55a9f3b60c38
823
py
Python
Scripts/Miscellaneous/Fake_news_web/app.py
valterm/Python_and_the_Web
a51b97870576dde8e8b7e78144e3b7ef8edebeac
[ "MIT" ]
1
2020-10-19T16:08:47.000Z
2020-10-19T16:08:47.000Z
Scripts/Miscellaneous/Fake_news_web/app.py
valterm/Python_and_the_Web
a51b97870576dde8e8b7e78144e3b7ef8edebeac
[ "MIT" ]
null
null
null
Scripts/Miscellaneous/Fake_news_web/app.py
valterm/Python_and_the_Web
a51b97870576dde8e8b7e78144e3b7ef8edebeac
[ "MIT" ]
null
null
null
from flask import Flask, request, render_template from sklearn.externals import joblib from feature import * pipeline = joblib.load('pipeline.sav') app = Flask(__name__) @app.route('/') def home(): return render_template('index.html') @app.route('/api',methods=['POST']) def get_delay(): result=request.fo...
24.939394
126
0.668287
111
823
4.72973
0.531532
0.051429
0.060952
0
0
0
0
0
0
0
0
0.012968
0.156744
823
32
127
25.71875
0.743516
0.034022
0
0
0
0.045455
0.224464
0.070618
0
0
0
0
0
1
0.090909
false
0
0.136364
0.045455
0.318182
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3176815070b07c8d8d7495f2cec6b2d4034159cf
534
py
Python
1019.next-greater-node-in-linked-list.py
elfgzp/leetCode
964c6574d310a9a6c486bf638487fd2f72b83b3f
[ "MIT" ]
3
2019-04-12T06:22:56.000Z
2019-05-04T04:25:01.000Z
1019.next-greater-node-in-linked-list.py
elfgzp/Leetcode
964c6574d310a9a6c486bf638487fd2f72b83b3f
[ "MIT" ]
null
null
null
1019.next-greater-node-in-linked-list.py
elfgzp/Leetcode
964c6574d310a9a6c486bf638487fd2f72b83b3f
[ "MIT" ]
null
null
null
# Definition for singly-linked list. # class ListNode: # def __init__(self, x): # self.val = x # self.next = None class Solution: def nextLargerNodes(self, head: ListNode) -> List[int]: nums = [] while head: nums.append(head.val) head = head.next ...
23.217391
59
0.5
63
534
4.174603
0.52381
0.038023
0
0
0
0
0
0
0
0
0
0.006024
0.378277
534
22
60
24.272727
0.786145
0.230337
0
0
0
0
0
0
0
0
0
0
0
1
0.076923
false
0
0
0
0.230769
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31772010bf6f4955a22aabae06749a3423e3904b
1,315
py
Python
evaluator_package/Parsing_tools.py
MONICA-Project/GOST-tools
08f0b5bc47e5ab683c6dffe90e8cfdff4305eab4
[ "BSD-2-Clause" ]
null
null
null
evaluator_package/Parsing_tools.py
MONICA-Project/GOST-tools
08f0b5bc47e5ab683c6dffe90e8cfdff4305eab4
[ "BSD-2-Clause" ]
null
null
null
evaluator_package/Parsing_tools.py
MONICA-Project/GOST-tools
08f0b5bc47e5ab683c6dffe90e8cfdff4305eab4
[ "BSD-2-Clause" ]
null
null
null
def is_field(token): """Checks if the token is a valid ogc type field """ return token in ["name", "description", "encodingType", "location", "properties", "metadata", "definition", "phenomenonTime", "resultTime", "observedArea", "result", "id", "@iot.id", "resultQ...
38.676471
109
0.543726
136
1,315
5.161765
0.470588
0.11396
0.07265
0.071225
0.179487
0.076923
0
0
0
0
0
0.005531
0.312548
1,315
33
110
39.848485
0.771018
0.171103
0
0.090909
0
0
0.153052
0
0
0
0
0
0
1
0.090909
false
0
0
0
0.136364
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31776c8bf86532d4f839128681a9e6532c17cb04
1,830
py
Python
salt/runners/mine.py
byteskeptical/salt
637fe0b04f38b2274191b005d73b3c6707d7f400
[ "Apache-2.0" ]
12
2015-01-21T00:18:25.000Z
2021-07-11T07:35:26.000Z
salt/runners/mine.py
byteskeptical/salt
637fe0b04f38b2274191b005d73b3c6707d7f400
[ "Apache-2.0" ]
86
2017-01-27T11:54:46.000Z
2020-05-20T06:25:26.000Z
salt/runners/mine.py
byteskeptical/salt
637fe0b04f38b2274191b005d73b3c6707d7f400
[ "Apache-2.0" ]
12
2015-01-05T09:50:42.000Z
2019-08-19T01:43:40.000Z
# -*- coding: utf-8 -*- ''' A runner to access data from the salt mine ''' from __future__ import absolute_import, print_function, unicode_literals # Import Python Libs import logging # Import salt libs import salt.utils.minions log = logging.getLevelName(__name__) def get(tgt, fun, tgt_type='glob'): ''' G...
26.142857
74
0.60765
227
1,830
4.757709
0.449339
0.04537
0.030556
0.022222
0.127778
0.062963
0.062963
0.062963
0
0
0
0.005516
0.306557
1,830
69
75
26.521739
0.845548
0.566667
0
0.117647
0
0
0.046617
0
0
0
0
0
0
1
0.117647
false
0
0.176471
0
0.411765
0.058824
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3179df3995795589d0d2f77e4b98c9ca2097dc0f
6,431
py
Python
helpers/HurstEstimationNumerics.py
Baozhen-Li/SurfaceTopography
37c70a4020c74dc56a4509969e760259ba93ec61
[ "MIT" ]
null
null
null
helpers/HurstEstimationNumerics.py
Baozhen-Li/SurfaceTopography
37c70a4020c74dc56a4509969e760259ba93ec61
[ "MIT" ]
null
null
null
helpers/HurstEstimationNumerics.py
Baozhen-Li/SurfaceTopography
37c70a4020c74dc56a4509969e760259ba93ec61
[ "MIT" ]
null
null
null
# # Copyright 2018, 2020 Lars Pastewka # 2019-2020 Antoine Sanner # 2015-2016 Till Junge # # ### MIT license # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without rest...
30.770335
127
0.605038
1,111
6,431
3.351935
0.218722
0.024168
0.005639
0.011278
0.429377
0.377551
0.326799
0.280881
0.233888
0.202739
0
0.037244
0.219251
6,431
208
128
30.918269
0.704441
0.211165
0
0.443662
0
0
0.053039
0
0
0
0
0
0
1
0.077465
false
0
0.035211
0.035211
0.169014
0.028169
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
317a0b761a00f16ebd6df1752f32454650a3de35
2,668
py
Python
test/serverless_mock_test.py
zhangyuan/serverless-mock-python
f1a1b84fcade2d090501914b4a1f6b4fdbbccfb4
[ "MIT" ]
5
2017-03-03T10:36:51.000Z
2019-01-14T05:12:29.000Z
test/serverless_mock_test.py
zhangyuan/serverless-mock-python
f1a1b84fcade2d090501914b4a1f6b4fdbbccfb4
[ "MIT" ]
1
2017-03-30T07:18:57.000Z
2017-03-30T07:18:57.000Z
test/serverless_mock_test.py
zhangyuan/serverless-mock-python
f1a1b84fcade2d090501914b4a1f6b4fdbbccfb4
[ "MIT" ]
null
null
null
import threading import requests import json import os from nose.tools import * from server import Httpd app_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "app") class TestServerlessMock(object): def test_ok(self): ok_(True) def setUp(self): self.httpd = Httpd(app_path, 0)...
31.388235
129
0.635682
346
2,668
4.679191
0.234104
0.033972
0.086473
0.070414
0.655343
0.641754
0.604077
0.604077
0.533663
0.479926
0
0.026769
0.215892
2,668
84
130
31.761905
0.747132
0
0
0.35
0
0
0.157421
0.040855
0
0
0
0
0
1
0.183333
false
0
0.1
0.016667
0.316667
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
317c49fa981bf39fb8fbc6c8497db1b320c837f1
29,766
py
Python
geoscilabs/dcip/DCWidgetPlate2_5D.py
lheagy/geosci-labs
a946feb0f2576821a232355d539bc71a5f5b0d0c
[ "MIT" ]
1
2019-01-04T10:06:44.000Z
2019-01-04T10:06:44.000Z
geoscilabs/dcip/DCWidgetPlate2_5D.py
victortocantins/geosci-labs
0963c5766477e59af6625954036f580481cfaf82
[ "MIT" ]
1
2018-12-30T20:09:25.000Z
2018-12-30T20:09:25.000Z
geoscilabs/dcip/DCWidgetPlate2_5D.py
victortocantins/geosci-labs
0963c5766477e59af6625954036f580481cfaf82
[ "MIT" ]
null
null
null
from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals import numpy as np from scipy.constants import epsilon_0 from scipy.ndimage.measurements import center_of_mass from ipywidgets import IntSlider, FloatSlider, FloatText, ToggleButtons import matplotli...
33
112
0.543876
3,662
29,766
4.36237
0.127253
0.010329
0.020282
0.022535
0.571205
0.516495
0.482692
0.420094
0.378404
0.365571
0
0.041607
0.294296
29,766
901
113
33.036626
0.71889
0.148088
0
0.375566
0
0
0.058516
0
0
0
0
0
0
1
0.013575
false
0
0.028658
0
0.054299
0.001508
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3180304baa69ab409e5d9574d22f4fd3b34b2b27
17,714
py
Python
P13pt/spectrumfitter/spectrumfitter.py
green-mercury/P13pt
38c4f079ec071b5b2651415d7bcb03be7a8a1dab
[ "MIT" ]
3
2019-08-27T16:32:29.000Z
2019-09-28T06:56:14.000Z
P13pt/spectrumfitter/spectrumfitter.py
DamienFruleux/P13pt
a2cd74e97b8b2e5fb518886237575ae769229e49
[ "MIT" ]
4
2018-10-29T22:06:54.000Z
2019-02-28T12:39:03.000Z
P13pt/spectrumfitter/spectrumfitter.py
DamienFruleux/P13pt
a2cd74e97b8b2e5fb518886237575ae769229e49
[ "MIT" ]
1
2019-02-13T13:29:18.000Z
2019-02-13T13:29:18.000Z
#!/usr/bin/python import sys import os import shutil from glob import glob from PyQt5.QtCore import (Qt, qInstallMessageHandler, QtInfoMsg, QtCriticalMsg, QtDebugMsg, QtWarningMsg, QtFatalMsg, QSettings, pyqtSlot, QStandardPaths, QUrl) from PyQt5.QtGui import QIcon, QDesktopServices from PyQt...
44.732323
122
0.628429
2,065
17,714
5.22954
0.176271
0.02528
0.020372
0.021669
0.317344
0.252153
0.217242
0.203815
0.172794
0.161682
0
0.002775
0.267641
17,714
395
123
44.84557
0.829646
0.073501
0
0.238411
0
0
0.06661
0
0
0
0
0.002532
0
1
0.062914
false
0
0.043046
0
0.129139
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
318175319ce5b1d0f129d6cf4fa9618b04da1e8b
5,622
py
Python
tests/testresourcemap.py
rayvnekieron/regionator
ed32f43c315465402b7e18c9f374e22dd89db64e
[ "Apache-2.0" ]
null
null
null
tests/testresourcemap.py
rayvnekieron/regionator
ed32f43c315465402b7e18c9f374e22dd89db64e
[ "Apache-2.0" ]
null
null
null
tests/testresourcemap.py
rayvnekieron/regionator
ed32f43c315465402b7e18c9f374e22dd89db64e
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python """ Copyright (C) 2006 Google Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agree...
37.986486
79
0.714692
681
5,622
5.776799
0.277533
0.032537
0.028978
0.026436
0.278597
0.228266
0.21759
0.149466
0.149466
0.149466
0
0.011679
0.147101
5,622
147
80
38.244898
0.808759
0.102633
0
0.150943
0
0
0.243907
0.086296
0
0
0
0
0.207547
1
0.132075
false
0
0.037736
0
0.235849
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3183eb2e126d90a029e2af49600fc31324d642a8
5,811
py
Python
src/teacher/flake_approx/teacher_env.py
jainraj/CISR_NeurIPS20
027957e4a26a36f6501c4f0e5e73cb9d78a53e66
[ "MIT" ]
16
2020-11-04T14:44:16.000Z
2022-02-16T08:08:23.000Z
src/teacher/flake_approx/teacher_env.py
jainraj/CISR_NeurIPS20
027957e4a26a36f6501c4f0e5e73cb9d78a53e66
[ "MIT" ]
2
2021-03-23T12:07:53.000Z
2021-12-22T14:30:59.000Z
src/teacher/flake_approx/teacher_env.py
jainraj/CISR_NeurIPS20
027957e4a26a36f6501c4f0e5e73cb9d78a53e66
[ "MIT" ]
7
2020-11-17T03:20:00.000Z
2022-03-31T15:53:58.000Z
import numpy as np from stable_baselines import PPO2 from stable_baselines.common.policies import CnnPolicy from stable_baselines.a2c.utils import conv, linear, conv_to_fc from src.envs import CMDP, FrozenLakeEnvCustomMap from src.envs.frozen_lake.frozen_maps import MAPS from src.students import LagrangianStudent, i...
35.432927
103
0.617794
663
5,811
5.081448
0.292609
0.014544
0.019294
0.022262
0.154942
0.115465
0.062333
0.045117
0.045117
0.045117
0
0.021385
0.29186
5,811
163
104
35.650307
0.797327
0.062124
0
0.051282
0
0
0.037072
0
0
0
0
0
0.008547
1
0.059829
false
0
0.102564
0.025641
0.222222
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31849d43e1ab19f400d94d35a3abbba09fecd8ff
1,861
py
Python
scanapi/__init__.py
rajarshig/scanapi
9e29bf7fa7d8d1996be3c9deeb2675e12aff9418
[ "MIT" ]
1
2020-06-02T18:08:08.000Z
2020-06-02T18:08:08.000Z
scanapi/__init__.py
rajarshig/scanapi
9e29bf7fa7d8d1996be3c9deeb2675e12aff9418
[ "MIT" ]
null
null
null
scanapi/__init__.py
rajarshig/scanapi
9e29bf7fa7d8d1996be3c9deeb2675e12aff9418
[ "MIT" ]
null
null
null
name = "scanapi" import click import logging from scanapi.tree.api_tree import APITree from scanapi.reporter import Reporter from scanapi.requests_maker import RequestsMaker from scanapi.settings import SETTINGS from scanapi.yaml_loader import load_yaml @click.command() @click.option( "-s", "--spec-path", ...
28.630769
86
0.674369
233
1,861
5.223176
0.39485
0.065735
0.046015
0.026294
0.054232
0.054232
0.054232
0
0
0
0
0
0.187534
1,861
64
87
29.078125
0.804894
0.051585
0
0.169811
0
0
0.199545
0
0
0
0
0
0
1
0.018868
false
0
0.132075
0
0.188679
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3184b4c5a678ebc4e6558070c2d466802ef6e550
1,065
py
Python
breadth first search/level order successor.py
JoanWu5/Grokking-the-coding-interview
0ae68fb1c86ff595a82af68f7a6a6fdfe37e97a7
[ "MIT" ]
null
null
null
breadth first search/level order successor.py
JoanWu5/Grokking-the-coding-interview
0ae68fb1c86ff595a82af68f7a6a6fdfe37e97a7
[ "MIT" ]
null
null
null
breadth first search/level order successor.py
JoanWu5/Grokking-the-coding-interview
0ae68fb1c86ff595a82af68f7a6a6fdfe37e97a7
[ "MIT" ]
2
2021-11-17T18:52:53.000Z
2021-12-04T09:26:37.000Z
# Given a binary tree and a node, find the level order successor of the given node in the tree. # The level order successor is the node that appears right after the given node in the level order traversal. from collections import deque class TreeNode: def __init__(self, value) -> None: self.value = value...
26.625
109
0.661972
151
1,065
4.562914
0.331126
0.087083
0.137881
0.100145
0.130624
0
0
0
0
0
0
0.015113
0.25446
1,065
39
110
27.307692
0.852645
0.189671
0
0
0
0
0
0
0
0
0
0
0
1
0.071429
false
0
0.035714
0
0.214286
0.071429
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3188b47960735f6a2d30024aca9b8fc438dc3613
20,651
py
Python
Lib/gds/burp/config.py
mwielgoszewski/jython-burp-api
002383f7acc5fb237e3804fe5bd2aa2950a0240d
[ "0BSD" ]
134
2015-01-21T14:22:42.000Z
2021-09-02T10:52:43.000Z
Lib/gds/burp/config.py
d453d2/burp-jython-console
3cec3200ede2da0f1cdbf935efc340f073c07ea2
[ "0BSD" ]
7
2015-01-19T16:54:45.000Z
2018-10-10T15:10:13.000Z
Lib/gds/burp/config.py
d453d2/burp-jython-console
3cec3200ede2da0f1cdbf935efc340f073c07ea2
[ "0BSD" ]
29
2015-02-13T14:08:23.000Z
2021-12-17T03:17:40.000Z
# -*- coding: utf-8 -*- # # Copyright (C) 2005-2009 Edgewall Software # Copyright (C) 2005-2007 Christopher Lenz <cmlenz@gmx.de> # All rights reserved. # # This software is licensed as described in the file COPYING, which # you should have received as part of this distribution. The terms # are also available at http://...
35.666667
79
0.619486
2,502
20,651
4.996803
0.15028
0.023756
0.009359
0.018237
0.366181
0.323228
0.276676
0.238282
0.228523
0.221245
0
0.002993
0.288218
20,651
578
80
35.728374
0.847541
0.324294
0
0.269481
0
0
0.025706
0.00177
0
0
0
0
0
1
0.146104
false
0
0.019481
0.019481
0.415584
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
318bb2ce68ce930a154f36901f32368d1debcea3
728
py
Python
pyqubo/package_info.py
caja-matematica/pyqubo
5e5c9d1a36c756ba8c05eac23bbefe2ac369bce5
[ "Apache-2.0" ]
1
2018-10-11T08:51:02.000Z
2018-10-11T08:51:02.000Z
pyqubo/package_info.py
kotarotanahashi/pyqubo
d2983b5f2b9e4ebee495c345326a1b2fd98f1c4f
[ "Apache-2.0" ]
null
null
null
pyqubo/package_info.py
kotarotanahashi/pyqubo
d2983b5f2b9e4ebee495c345326a1b2fd98f1c4f
[ "Apache-2.0" ]
null
null
null
# (major, minor, patch, prerelease) VERSION = (0, 0, 6, "") __shortversion__ = '.'.join(map(str, VERSION[:3])) __version__ = '.'.join(map(str, VERSION[:3])) + "".join(VERSION[3:]) __package_name__ = 'pyqubo' __contact_names__ = 'Recruit Communications Co., Ltd.' __contact_emails__ = 'rco_pyqubo@ml.cocorou.jp' __homep...
45.5
100
0.75
88
728
5.636364
0.670455
0.048387
0.040323
0.068548
0.25
0.177419
0.177419
0
0
0
0
0.012195
0.098901
728
15
101
48.533333
0.743902
0.04533
0
0
0
0
0.518038
0.034632
0
0
0
0
0
1
0
false
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
318c27aa8cc3118e9c4a2079f233ea65d902fc9c
19,702
py
Python
bin/DBImportOperation/etl_operations.py
karlam123/DBImport
ebaf3f909841276d289bfb2f6eec0ecafa8395cf
[ "Apache-2.0" ]
null
null
null
bin/DBImportOperation/etl_operations.py
karlam123/DBImport
ebaf3f909841276d289bfb2f6eec0ecafa8395cf
[ "Apache-2.0" ]
null
null
null
bin/DBImportOperation/etl_operations.py
karlam123/DBImport
ebaf3f909841276d289bfb2f6eec0ecafa8395cf
[ "Apache-2.0" ]
null
null
null
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
40.372951
535
0.661963
2,325
19,702
5.532903
0.143226
0.026586
0.02954
0.030317
0.538868
0.50824
0.435712
0.415034
0.405084
0.376088
0
0.001185
0.186326
19,702
487
536
40.455852
0.80126
0.152929
0
0.595109
0
0
0.241566
0.036563
0
0
0
0
0
1
0.013587
false
0
0.089674
0
0.105978
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
318f1a187d9d522a7bfc65eda71b220b6ecec2a9
2,394
py
Python
grvx/nodes/ieeg/read.py
UMCU-RIBS/grvx
0343ffa3a211f28bbffb18d1fb4b2cadc4fda8a8
[ "MIT" ]
1
2021-11-25T08:12:48.000Z
2021-11-25T08:12:48.000Z
grvx/nodes/ieeg/read.py
UMCU-RIBS/grvx
0343ffa3a211f28bbffb18d1fb4b2cadc4fda8a8
[ "MIT" ]
null
null
null
grvx/nodes/ieeg/read.py
UMCU-RIBS/grvx
0343ffa3a211f28bbffb18d1fb4b2cadc4fda8a8
[ "MIT" ]
null
null
null
from logging import getLogger from numpy import mean, std from pickle import dump from wonambi import Dataset from wonambi.trans import math, concatenate from bidso import Task, Electrodes lg = getLogger(__name__) def read_ieeg_block(filename, electrode_file, conditions, minimalduration, output_dir): d = Dataset...
32.351351
130
0.651211
316
2,394
4.718354
0.291139
0.036217
0.012072
0.025486
0.273642
0.219987
0.179745
0.179745
0.179745
0.179745
0
0.002208
0.243108
2,394
73
131
32.794521
0.82064
0.023392
0
0.327273
0
0
0.03125
0
0
0
0
0
0
1
0.054545
false
0
0.109091
0
0.218182
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3190b0b0bcaf0d8c57b427dc97d503276394c78a
5,806
py
Python
bin/zeisel.py
bendemeo/ample
4ca2688ff2b0e5c8f7dcbc0a1f4ddc8927fac670
[ "MIT" ]
null
null
null
bin/zeisel.py
bendemeo/ample
4ca2688ff2b0e5c8f7dcbc0a1f4ddc8927fac670
[ "MIT" ]
null
null
null
bin/zeisel.py
bendemeo/ample
4ca2688ff2b0e5c8f7dcbc0a1f4ddc8927fac670
[ "MIT" ]
null
null
null
import numpy as np import os from scanorama import * from scipy.sparse import vstack from process import load_names from experiments import * from utils import * NAMESPACE = 'zeisel' METHOD = 'svd' DIMRED = 100 data_names = [ 'data/mouse_brain/zeisel/amygdala', 'data/mouse_brain/zeisel/cerebellum', 'data...
35.187879
80
0.627799
725
5,806
4.813793
0.263448
0.063037
0.072206
0.103152
0.37192
0.34957
0.298567
0.269914
0.246991
0.238968
0
0.021869
0.220289
5,806
164
81
35.402439
0.749061
0.228384
0
0.224138
0
0
0.203907
0.174265
0
0
0
0
0
1
0
false
0
0.086207
0
0.086207
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3190dd313fa981931d847fb35c25f15a5cf9dce0
997
py
Python
cogitare/monitor/workers/system_usage.py
cogitare-ai/cogitare
fa99b8ef30e2f74e16fb542f2992582d1bd3ac2c
[ "MIT" ]
90
2017-11-25T13:54:48.000Z
2021-09-04T04:19:52.000Z
cogitare/monitor/workers/system_usage.py
cogitare-ai/cogitare
fa99b8ef30e2f74e16fb542f2992582d1bd3ac2c
[ "MIT" ]
43
2017-09-12T20:40:56.000Z
2019-08-03T15:37:37.000Z
cogitare/monitor/workers/system_usage.py
cogitare-ai/cogitare
fa99b8ef30e2f74e16fb542f2992582d1bd3ac2c
[ "MIT" ]
9
2018-02-01T22:37:15.000Z
2018-11-05T13:30:58.000Z
from threading import Thread import psutil import time class SystemUsage(Thread): def __init__(self, callback, *args, **kwargs): super(SystemUsage, self).__init__(daemon=True) self.interval = 1 self.enabled = False self.callback = callback self.p = psutil.Process() ...
30.212121
120
0.584754
131
997
4.335878
0.450382
0.035211
0.010563
0.056338
0
0
0
0
0
0
0
0.020661
0.271815
997
32
121
31.15625
0.761708
0
0
0
0
0
0.09328
0
0
0
0
0
0
1
0.125
false
0
0.125
0
0.333333
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31947238fdb172e32519876dd493050e5588dc51
3,062
py
Python
tests/test_utils.py
loganthomas/turkey-bowl
8a02966c3fe06a4dbbcee3f31ed21c2374b77e11
[ "MIT" ]
null
null
null
tests/test_utils.py
loganthomas/turkey-bowl
8a02966c3fe06a4dbbcee3f31ed21c2374b77e11
[ "MIT" ]
74
2020-09-26T00:58:17.000Z
2022-03-20T13:55:09.000Z
tests/test_utils.py
loganthomas/Thanksgiving_Football
8a02966c3fe06a4dbbcee3f31ed21c2374b77e11
[ "MIT" ]
1
2020-09-26T01:09:38.000Z
2020-09-26T01:09:38.000Z
""" Unit tests for utils.py """ # Standard libraries import json from pathlib import Path # Third-party libraries import pytest # Local libraries from turkey_bowl import utils @pytest.mark.freeze_time @pytest.mark.parametrize( "frozen_date, expected", [ ("2010-09-09", 2010), ("2011-09-08", 2...
23.736434
82
0.653494
422
3,062
4.473934
0.239336
0.051907
0.081568
0.060911
0.616525
0.596398
0.560911
0.519597
0.519597
0.497881
0
0.02874
0.227302
3,062
128
83
23.921875
0.769231
0.161659
0
0.387097
0
0
0.097861
0.008716
0
0
0
0
0.241935
1
0.096774
false
0
0.064516
0
0.16129
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3196c5c7ef4586ecc4432d29b82edc3f69f92c25
1,695
py
Python
pages/views.py
Total-Conversion/eco4coin
5a155afe892ebd714547063adfd000a1437eb3a0
[ "MIT" ]
null
null
null
pages/views.py
Total-Conversion/eco4coin
5a155afe892ebd714547063adfd000a1437eb3a0
[ "MIT" ]
null
null
null
pages/views.py
Total-Conversion/eco4coin
5a155afe892ebd714547063adfd000a1437eb3a0
[ "MIT" ]
null
null
null
from django.contrib.admin.views.decorators import staff_member_required from django.views.generic import TemplateView, ListView import csv from django.http import HttpResponse from backend.models import CustomUser from django.contrib.auth.mixins import LoginRequiredMixin class HomePageView(TemplateView): templat...
30.818182
113
0.661357
191
1,695
5.680628
0.413613
0.036866
0.031336
0.046083
0.053456
0.053456
0
0
0
0
0
0.002331
0.240708
1,695
54
114
31.388889
0.840715
0.037168
0
0.046512
0
0
0.12454
0.028221
0
0
0
0
0
1
0.069767
false
0
0.139535
0.023256
0.44186
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31991e3c0b73748d0ef73d80f10a961d8b27dbaf
4,516
py
Python
admin/collection_providers/forms.py
rdm-dev12/RDM-osf.io
14d9a924b8c6bc7d79fd34b87830ffa29acafed1
[ "Apache-2.0" ]
null
null
null
admin/collection_providers/forms.py
rdm-dev12/RDM-osf.io
14d9a924b8c6bc7d79fd34b87830ffa29acafed1
[ "Apache-2.0" ]
20
2020-03-24T16:48:03.000Z
2022-03-08T22:38:38.000Z
admin/collection_providers/forms.py
rdm-dev12/RDM-osf.io
14d9a924b8c6bc7d79fd34b87830ffa29acafed1
[ "Apache-2.0" ]
null
null
null
import bleach import json from django import forms from osf.models import CollectionProvider, CollectionSubmission from admin.base.utils import get_nodelicense_choices, get_defaultlicense_choices class CollectionProviderForm(forms.ModelForm): collected_type_choices = forms.CharField(widget=forms.HiddenInput(), ...
45.16
113
0.629318
453
4,516
6
0.269316
0.072848
0.032377
0.077263
0.61663
0.553716
0.53716
0.49301
0.394408
0.360559
0
0
0.274801
4,516
99
114
45.616162
0.829924
0.040965
0
0.292683
0
0
0.144938
0.032362
0
0
0
0
0
1
0.060976
false
0
0.060976
0
0.243902
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
3199bda124122e7024becc95e2646f8bec2ec029
930
py
Python
activity_log/migrations/0004_auto_20170309_0929.py
farezsaputra/BandwidthControllingSystem
54032f21e6cb94156f57222e88a98a89be310ea9
[ "MIT" ]
null
null
null
activity_log/migrations/0004_auto_20170309_0929.py
farezsaputra/BandwidthControllingSystem
54032f21e6cb94156f57222e88a98a89be310ea9
[ "MIT" ]
11
2021-02-10T02:18:32.000Z
2022-03-02T09:56:43.000Z
activity_log/migrations/0004_auto_20170309_0929.py
farezsaputra/BandwidthControllingSystem
54032f21e6cb94156f57222e88a98a89be310ea9
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('activity_log', '0003_activitylog_extra_data'), ] operations = [ migrations.AlterField( ...
31
114
0.631183
93
930
6.086022
0.505376
0.106007
0.132509
0.15371
0.272085
0.272085
0.194346
0.194346
0.194346
0
0
0.011511
0.252688
930
30
115
31
0.802878
0.022581
0
0.375
0
0
0.131057
0.029736
0
0
0
0
0
1
0
false
0
0.125
0
0.25
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
319a6bb562632b817123a3b1b59712d0c048c830
1,559
py
Python
bin/read_oogeso_data.py
oogeso/oogeso
72c05fd02d62b29fc62f60daf4989370fd80cbe1
[ "MIT" ]
2
2021-05-19T13:16:20.000Z
2021-11-05T11:47:11.000Z
bin/read_oogeso_data.py
oogeso/oogeso
72c05fd02d62b29fc62f60daf4989370fd80cbe1
[ "MIT" ]
71
2021-06-01T11:03:56.000Z
2022-03-01T09:38:37.000Z
bin/read_oogeso_data.py
oogeso/oogeso
72c05fd02d62b29fc62f60daf4989370fd80cbe1
[ "MIT" ]
null
null
null
import json import oogeso.io.file_io # Read in data, validate date et.c. with methods from io test_data_file = "examples/test case2.yaml" json_data = oogeso.io.file_io.read_data_from_yaml(test_data_file) json_formatted_str = json.dumps(json_data, indent=2) print("Type json formatted str=", type(json_formatted_str)) ...
37.119048
82
0.77229
208
1,559
5.519231
0.274038
0.167247
0.069686
0.087108
0.166376
0.135017
0
0
0
0
0
0.002821
0.090443
1,559
41
83
38.02439
0.80677
0.481719
0
0
0
0
0.187342
0.063291
0
0
0
0
0
1
0
false
0
0.117647
0
0.117647
0.352941
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
319c9744bc015a0408de27695b17d2663e338344
2,295
py
Python
fgivenx/test/test_mass.py
ejhigson/fgivenx
91089d8c0ce54bae0f72b41eb1da5d6e8d75738d
[ "MIT" ]
11
2017-10-13T11:04:53.000Z
2021-03-26T15:54:12.000Z
fgivenx/test/test_mass.py
ejhigson/fgivenx
91089d8c0ce54bae0f72b41eb1da5d6e8d75738d
[ "MIT" ]
16
2018-08-01T09:25:08.000Z
2022-03-04T12:29:52.000Z
fgivenx/test/test_mass.py
ejhigson/fgivenx
91089d8c0ce54bae0f72b41eb1da5d6e8d75738d
[ "MIT" ]
12
2018-02-04T20:34:01.000Z
2021-12-10T10:58:20.000Z
import numpy import pytest import os from shutil import rmtree from numpy.testing import assert_allclose import scipy.stats import scipy.integrate import scipy.special from fgivenx.mass import PMF, compute_pmf def gaussian_pmf(y, mu=0, sigma=1): return scipy.special.erfc(numpy.abs(y-mu)/numpy.sqrt(2)/sigma) def...
27
78
0.620915
362
2,295
3.828729
0.270718
0.079365
0.064935
0.046176
0.286436
0.238817
0.169553
0.131313
0.040404
0.040404
0
0.044068
0.228758
2,295
84
79
27.321429
0.738983
0.03573
0
0.196721
0
0
0.022192
0
0
0
0
0
0.163934
1
0.065574
false
0
0.147541
0.016393
0.229508
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
319dcd031d072f86f2934fd6b6ad4796d0a0d399
5,141
py
Python
homeassistant/components/vera/config_flow.py
liangleslie/core
cc807b4d597daaaadc92df4a93c6e30da4f570c6
[ "Apache-2.0" ]
2
2020-01-03T17:06:33.000Z
2020-01-13T18:57:32.000Z
homeassistant/components/vera/config_flow.py
liangleslie/core
cc807b4d597daaaadc92df4a93c6e30da4f570c6
[ "Apache-2.0" ]
1,016
2019-06-18T21:27:47.000Z
2020-03-06T11:09:58.000Z
homeassistant/components/vera/config_flow.py
liangleslie/core
cc807b4d597daaaadc92df4a93c6e30da4f570c6
[ "Apache-2.0" ]
null
null
null
"""Config flow for Vera.""" from __future__ import annotations from collections.abc import Mapping import logging import re from typing import Any import pyvera as pv from requests.exceptions import RequestException import voluptuous as vol from homeassistant import config_entries from homeassistant.config_entries i...
32.13125
88
0.62731
617
5,141
4.969206
0.249595
0.026093
0.031963
0.015656
0.16047
0.127854
0.073712
0.018265
0
0
0
0.001071
0.273488
5,141
159
89
32.333333
0.819813
0.096479
0
0.093458
0
0
0.017536
0
0
0
0
0
0
1
0.074766
false
0
0.149533
0
0.373832
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
319dd84050e699e6ce05aef24f59d85fafabbb42
3,368
py
Python
bin/setup_spectrum.py
MFSJMenger/pysurf
99c6a94d4cb5046f16a0961b907061d989ffb6dc
[ "Apache-2.0" ]
7
2020-10-28T13:46:08.000Z
2021-05-27T06:41:56.000Z
bin/setup_spectrum.py
MFSJMenger/pysurf
99c6a94d4cb5046f16a0961b907061d989ffb6dc
[ "Apache-2.0" ]
2
2020-10-27T19:15:12.000Z
2020-10-27T19:15:25.000Z
bin/setup_spectrum.py
MFSJMenger/pysurf
99c6a94d4cb5046f16a0961b907061d989ffb6dc
[ "Apache-2.0" ]
2
2021-04-15T05:54:30.000Z
2022-02-08T00:10:10.000Z
import os from shutil import copy2 as copy # from pysurf.logger import get_logger from pysurf.sampling import Sampling from pysurf.setup import SetupBase from pysurf.utils import exists_and_isfile from pysurf.spp import SurfacePointProvider from colt import Colt from sp_calc import SinglePointCalculation class Setu...
34.367347
138
0.645487
386
3,368
5.494819
0.318653
0.016973
0.025931
0.016973
0.150872
0.132013
0.071664
0.04149
0.04149
0
0
0.000798
0.255938
3,368
97
139
34.721649
0.845571
0.061461
0
0.072464
0
0
0.357417
0.014386
0
0
0
0
0
1
0.043478
false
0
0.130435
0.014493
0.246377
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31a2f51b82dfe59d7e0a0af9b9f3cdff2f955130
9,179
py
Python
site_scons/site_tools/mplabx_nbproject/__init__.py
kbhomes/ps2plus
63467133367082ec06c88e5c0fd623373709717e
[ "MIT" ]
null
null
null
site_scons/site_tools/mplabx_nbproject/__init__.py
kbhomes/ps2plus
63467133367082ec06c88e5c0fd623373709717e
[ "MIT" ]
null
null
null
site_scons/site_tools/mplabx_nbproject/__init__.py
kbhomes/ps2plus
63467133367082ec06c88e5c0fd623373709717e
[ "MIT" ]
null
null
null
from pprint import pprint import SCons.Builder from SCons.Script import * import json import os import copy import collections import xml.etree.ElementTree as ET from mplabx import MPLABXProperties MAKEFILE_TEXT = ''' MKDIR=mkdir CP=cp CCADMIN=CCadmin RANLIB=ranlib build: .build-post .build-pre: .build-post: .build-i...
35.996078
130
0.706613
1,097
9,179
5.677302
0.194166
0.020231
0.022479
0.011561
0.186095
0.091201
0.068722
0.040462
0.026654
0
0
0.001735
0.18368
9,179
255
131
35.996078
0.829441
0.077895
0
0.042105
0
0
0.214777
0.063567
0
0
0
0
0
1
0.047368
false
0
0.047368
0.010526
0.126316
0.005263
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31acd399985d83122352ad6b8e7282bfbeb0a214
1,754
py
Python
libs/external_libs/docutils-0.4/test/test_transforms/test_peps.py
google-code-export/django-hotclub
d783a5bbcc06816289565f3eae6d99461188ca4a
[ "MIT" ]
3
2015-12-25T14:45:36.000Z
2016-11-28T09:58:03.000Z
libs/external_libs/docutils-0.4/test/test_transforms/test_peps.py
indro/t2c
56482ad4aed150f29353e054db2c97b567243bf8
[ "MIT" ]
null
null
null
libs/external_libs/docutils-0.4/test/test_transforms/test_peps.py
indro/t2c
56482ad4aed150f29353e054db2c97b567243bf8
[ "MIT" ]
null
null
null
#! /usr/bin/env python # Author: David Goodger # Contact: goodger@users.sourceforge.net # Revision: $Revision: 3915 $ # Date: $Date: 2005-10-02 03:06:42 +0200 (Sun, 02 Oct 2005) $ # Copyright: This module has been placed in the public domain. """ Tests for docutils.transforms.peps. """ from __init__ import DocutilsT...
25.42029
78
0.646522
203
1,754
5.497537
0.472906
0.043011
0.082437
0.089606
0.340502
0.284946
0.12724
0.12724
0.12724
0.12724
0
0.025455
0.216078
1,754
68
79
25.794118
0.786182
0.152223
0
0.24
0
0
0.361573
0
0
0
0
0
0
1
0.04
false
0
0.16
0
0.24
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31ae9dcd46623a64820f48a76a6115e399610104
1,583
py
Python
api/generate.py
almeida-matheus/playlist-reader
c09393395a7a28d104a2bad28e3af4a8c23f8adf
[ "MIT" ]
null
null
null
api/generate.py
almeida-matheus/playlist-reader
c09393395a7a28d104a2bad28e3af4a8c23f8adf
[ "MIT" ]
null
null
null
api/generate.py
almeida-matheus/playlist-reader
c09393395a7a28d104a2bad28e3af4a8c23f8adf
[ "MIT" ]
null
null
null
import re from bs4 import BeautifulSoup # beautifulsoup4 import requests # requests HEADER = { "User-Agent": 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36' } def catch_info(base,pattern,str_add=''): '''base text, pattern to search, s...
37.690476
141
0.651927
209
1,583
4.794258
0.473684
0.035928
0.02994
0.05988
0
0
0
0
0
0
0
0.03035
0.18825
1,583
42
142
37.690476
0.749416
0.112445
0
0
0
0.033333
0.247851
0.073782
0
0
0
0
0
1
0.066667
false
0
0.1
0
0.266667
0.033333
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31ae9eb018cffff3e9fe4e96c1a466a559766558
1,118
py
Python
homeassistant/components/deconz/const.py
hoverduck/core
9fa23f6479e9cf8aed3fa6d2980ddc98dae06e7b
[ "Apache-2.0" ]
1
2020-01-08T21:47:59.000Z
2020-01-08T21:47:59.000Z
homeassistant/components/deconz/const.py
hoverduck/core
9fa23f6479e9cf8aed3fa6d2980ddc98dae06e7b
[ "Apache-2.0" ]
39
2020-08-31T14:55:47.000Z
2022-03-31T06:02:16.000Z
homeassistant/components/deconz/const.py
stodev-com-br/home-assistant
944d7b9d7e59ad878ae9f75b80f4cd418bad8296
[ "Apache-2.0" ]
null
null
null
"""Constants for the deCONZ component.""" import logging LOGGER = logging.getLogger(__package__) DOMAIN = "deconz" CONF_BRIDGE_ID = "bridgeid" CONF_GROUP_ID_BASE = "group_id_base" DEFAULT_PORT = 80 DEFAULT_ALLOW_CLIP_SENSOR = False DEFAULT_ALLOW_DECONZ_GROUPS = True DEFAULT_ALLOW_NEW_DEVICES = True CONF_ALLOW_CLIP...
21.5
72
0.739714
147
1,118
5.238095
0.462585
0.046753
0.058442
0
0
0
0
0
0
0
0
0.002092
0.144902
1,118
51
73
21.921569
0.803347
0.031306
0
0
0
0
0.294336
0
0
0
0
0
0
1
0
false
0
0.025641
0
0.025641
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31b24a17c488a7eb71036a8c8f97645c1213787a
24,392
py
Python
plugin.audio.podcasts/addon.py
stobb3s/kodi-addon-podcast
de834d10031e372996ec34b2cd989a6d105168a8
[ "MIT" ]
null
null
null
plugin.audio.podcasts/addon.py
stobb3s/kodi-addon-podcast
de834d10031e372996ec34b2cd989a6d105168a8
[ "MIT" ]
null
null
null
plugin.audio.podcasts/addon.py
stobb3s/kodi-addon-podcast
de834d10031e372996ec34b2cd989a6d105168a8
[ "MIT" ]
null
null
null
from datetime import datetime import base64 import os import re import requests import sys import urllib.parse import xmltodict import xbmc import xbmcgui import xbmcplugin import xbmcaddon import xbmcvfs __PLUGIN_ID__ = "plugin.audio.podcasts" # see https://forum.kodi.tv/showthread.php?tid=112916 _MONTHS = ["Jan", ...
32.17942
142
0.508158
2,429
24,392
4.929189
0.146562
0.082519
0.008269
0.009187
0.353295
0.291155
0.238036
0.192015
0.134386
0.094463
0
0.022055
0.37172
24,392
757
143
32.221929
0.759217
0.027222
0
0.271218
0
0.00369
0.099375
0.016795
0
0
0
0
0
1
0.057196
false
0.005535
0.035055
0.001845
0.173432
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31b296cff20ef1265ad6524a7cf4ad27623881bc
2,832
py
Python
.venv/Lib/site-packages/lemoncheesecake/reporting/savingstrategy.py
yadavdeepa365/HUDL_PYTHON
e1d5d264e3748f0add18258496f5a850e16b7ee6
[ "MIT" ]
34
2017-06-12T18:50:36.000Z
2021-11-29T01:59:07.000Z
.venv/Lib/site-packages/lemoncheesecake/reporting/savingstrategy.py
yadavdeepa365/HUDL_PYTHON
e1d5d264e3748f0add18258496f5a850e16b7ee6
[ "MIT" ]
25
2017-12-07T13:35:29.000Z
2022-03-10T01:27:58.000Z
.venv/Lib/site-packages/lemoncheesecake/reporting/savingstrategy.py
yadavdeepa365/HUDL_PYTHON
e1d5d264e3748f0add18258496f5a850e16b7ee6
[ "MIT" ]
4
2019-05-05T03:19:00.000Z
2021-10-06T13:12:05.000Z
import re import time from lemoncheesecake.events import TestSessionSetupEndEvent, TestSessionTeardownEndEvent, \ TestEndEvent, SuiteSetupEndEvent, SuiteTeardownEndEvent, SuiteEndEvent, SteppedEvent from lemoncheesecake.reporting.report import ReportLocation DEFAULT_REPORT_SAVING_STRATEGY = "at_each_failed_test" ...
31.120879
112
0.715042
348
2,832
5.488506
0.307471
0.050262
0.04712
0.033508
0.265969
0.067539
0.026178
0
0
0
0
0.001791
0.211158
2,832
90
113
31.466667
0.853178
0.084393
0
0.096774
0
0
0.067672
0
0
0
0
0
0
1
0.129032
false
0.016129
0.064516
0.048387
0.451613
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31b5fadfad64338920b6d7434a87ab13e7d9dd53
1,222
py
Python
src/the_tale/the_tale/common/bbcode/renderer.py
al-arz/the-tale
542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5
[ "BSD-3-Clause" ]
85
2017-11-21T12:22:02.000Z
2022-03-27T23:07:17.000Z
src/the_tale/the_tale/common/bbcode/renderer.py
al-arz/the-tale
542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5
[ "BSD-3-Clause" ]
545
2017-11-04T14:15:04.000Z
2022-03-27T14:19:27.000Z
src/the_tale/the_tale/common/bbcode/renderer.py
al-arz/the-tale
542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5
[ "BSD-3-Clause" ]
45
2017-11-11T12:36:30.000Z
2022-02-25T06:10:44.000Z
import smart_imports smart_imports.all() class Renderer: __slots__ = ('tags', '_renderer') def __init__(self, tags): self.tags = tags self._renderer = postmarkup.create(include=[], use_pygments=False, ann...
31.333333
144
0.561375
140
1,222
4.728571
0.492857
0.036254
0.048338
0.05136
0
0
0
0
0
0
0
0.00117
0.300327
1,222
38
145
32.157895
0.773099
0
0
0
0
0.038462
0.235053
0.05733
0
0
0
0
0
1
0.115385
false
0
0.076923
0
0.384615
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31b8b818299558855ad3e395eb84d71adc230d9a
6,860
py
Python
tests/python/unittest/test_meta_schedule_custom_rule_winograd_cpu.py
psrivas2/relax
4329af78eb1dc4c4ff8a61d3bf39aa4034e9cb2a
[ "Apache-2.0" ]
11
2021-11-02T00:49:16.000Z
2021-11-19T02:17:00.000Z
tests/python/unittest/test_meta_schedule_custom_rule_winograd_cpu.py
psrivas2/relax
4329af78eb1dc4c4ff8a61d3bf39aa4034e9cb2a
[ "Apache-2.0" ]
16
2021-11-02T00:17:12.000Z
2021-11-21T20:47:52.000Z
tests/python/unittest/test_meta_schedule_custom_rule_winograd_cpu.py
psrivas2/relax
4329af78eb1dc4c4ff8a61d3bf39aa4034e9cb2a
[ "Apache-2.0" ]
4
2021-11-05T18:17:23.000Z
2021-11-11T06:22:00.000Z
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
32.358491
85
0.559329
891
6,860
4.156004
0.30303
0.026735
0.038887
0.048609
0.183095
0.111261
0.079935
0.016743
0
0
0
0.094846
0.326822
6,860
211
86
32.511848
0.707016
0.134694
0
0.105882
0
0
0.024374
0.005078
0
0
0
0
0.005882
1
0.041176
false
0
0.035294
0
0.082353
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31b9c954ad4a3b83232dea2da9aa347a1d45c611
1,208
py
Python
scripts/seqrun_processing/sync_seqrun_data_from_remote.py
imperial-genomics-facility/data-management-python
7b867d8d4562a49173d0b823bdc4bf374a3688f0
[ "Apache-2.0" ]
7
2018-05-08T07:28:08.000Z
2022-02-21T14:56:49.000Z
scripts/seqrun_processing/sync_seqrun_data_from_remote.py
imperial-genomics-facility/data-management-python
7b867d8d4562a49173d0b823bdc4bf374a3688f0
[ "Apache-2.0" ]
15
2021-08-19T12:32:20.000Z
2022-02-09T19:52:51.000Z
scripts/seqrun_processing/sync_seqrun_data_from_remote.py
imperial-genomics-facility/data-management-python
7b867d8d4562a49173d0b823bdc4bf374a3688f0
[ "Apache-2.0" ]
2
2017-05-12T15:20:10.000Z
2020-05-07T16:25:11.000Z
#!/usr/bin/env python import argparse from igf_data.task_tracking.igf_slack import IGF_slack from igf_data.process.data_transfer.sync_seqrun_data_on_remote import Sync_seqrun_data_from_remote parser = argparse.ArgumentParser() parser.add_argument('-r','--remote_server', required=True, help='Remote server address') par...
43.142857
105
0.78394
174
1,208
5.149425
0.413793
0.050223
0.094866
0.046875
0
0
0
0
0
0
0
0.000917
0.096854
1,208
27
106
44.740741
0.820348
0.022351
0
0
0
0
0.257216
0
0
0
0
0
0
1
0
false
0
0.136364
0
0.136364
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31bd00426914dc97a2be62873f494b2813748a77
1,432
py
Python
0188.Best Time to Buy and Sell Stock IV/solution.py
zhlinh/leetcode
6dfa0a4df9ec07b2c746a13c8257780880ea04af
[ "Apache-2.0" ]
null
null
null
0188.Best Time to Buy and Sell Stock IV/solution.py
zhlinh/leetcode
6dfa0a4df9ec07b2c746a13c8257780880ea04af
[ "Apache-2.0" ]
null
null
null
0188.Best Time to Buy and Sell Stock IV/solution.py
zhlinh/leetcode
6dfa0a4df9ec07b2c746a13c8257780880ea04af
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- ''' ***************************************** Author: zhlinh Email: zhlinhng@gmail.com Version: 0.0.1 Created Time: 2016-03-23 Last_modify: 2016-03-23 ****************************************** ''' ''' Say you have an array for which the ith el...
26.518519
79
0.515363
201
1,432
3.666667
0.507463
0.018996
0.024423
0.029851
0.040706
0
0
0
0
0
0
0.039674
0.313547
1,432
53
80
27.018868
0.710071
0.21648
0
0
0
0
0
0
0
0
0
0
0
1
0.1
false
0
0
0
0.35
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31beb5620648da5af3d9f0847e1c1d7a84954a2a
451
py
Python
Python/List/37.drop.py
angelmpalomares/ModelAndLanguagesForBioInformatics
0b981bfcdc2a58ad72da3513e783ef75e53c205c
[ "MIT" ]
null
null
null
Python/List/37.drop.py
angelmpalomares/ModelAndLanguagesForBioInformatics
0b981bfcdc2a58ad72da3513e783ef75e53c205c
[ "MIT" ]
1
2021-06-08T07:44:38.000Z
2021-06-08T07:53:10.000Z
Python/List/37.drop.py
angelmpalomares/ModelAndLanguagesForBioInformatics
0b981bfcdc2a58ad72da3513e783ef75e53c205c
[ "MIT" ]
2
2021-04-11T10:13:57.000Z
2021-06-07T23:20:31.000Z
def drop(i_list: list,n:int) -> list: """ Drop at multiple of n from the list :param n: Drop from the list i_list every N element :param i_list: The source list :return: The returned list """ assert(n>0) _shallow_list = [] k=1 for element in i_list: if k % n != 0: ...
25.055556
55
0.585366
73
451
3.369863
0.465753
0.081301
0.089431
0.105691
0
0
0
0
0
0
0
0.031546
0.297118
451
18
56
25.055556
0.74448
0.321508
0
0
0
0
0.028674
0
0
0
0
0
0.090909
1
0.090909
false
0
0
0
0.181818
0.090909
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31bebc7c278939b7860a6be8a6a8aa404c030728
7,929
py
Python
cil/balanced_experience_replay.py
itaicaspi-intel/advanced-coach
2f1d15a8c75d9e3c1742fc553daad5e52f4d5188
[ "Apache-2.0" ]
1
2019-02-18T05:57:42.000Z
2019-02-18T05:57:42.000Z
cil/balanced_experience_replay.py
itaicaspi-intel/advanced-coach
2f1d15a8c75d9e3c1742fc553daad5e52f4d5188
[ "Apache-2.0" ]
null
null
null
cil/balanced_experience_replay.py
itaicaspi-intel/advanced-coach
2f1d15a8c75d9e3c1742fc553daad5e52f4d5188
[ "Apache-2.0" ]
null
null
null
# # Copyright (c) 2017 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...
46.098837
119
0.67436
1,021
7,929
5.044074
0.231146
0.021748
0.029903
0.023301
0.29165
0.241748
0.160583
0.131262
0.082718
0.065243
0
0.004772
0.259932
7,929
171
120
46.368421
0.87287
0.237483
0
0.173913
0
0
0.173676
0.009678
0
0
0
0
0
1
0.097826
false
0
0.097826
0.01087
0.23913
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31c2501833007cbf35b7052dce9d35c5762beec9
271
py
Python
tools/schedprof/schedprof/mutex.py
ivochkin/dfk
9d38cc657c18e065e2249865244eba9067b49b2a
[ "MIT" ]
1
2016-05-23T16:18:41.000Z
2016-05-23T16:18:41.000Z
tools/schedprof/schedprof/mutex.py
ivochkin/dfk
9d38cc657c18e065e2249865244eba9067b49b2a
[ "MIT" ]
null
null
null
tools/schedprof/schedprof/mutex.py
ivochkin/dfk
9d38cc657c18e065e2249865244eba9067b49b2a
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- from schedprof.enumerated_instance import EnumeratedInstance class Mutex(EnumeratedInstance): def __init__(self): super(Mutex, self).__init__(Mutex) self.acquired_by = None self.wait_queue = []
22.583333
60
0.678967
31
271
5.580645
0.774194
0.104046
0
0
0
0
0
0
0
0
0
0.004608
0.199262
271
11
61
24.636364
0.792627
0.154982
0
0
0
0
0
0
0
0
0
0
0
1
0.166667
false
0
0.166667
0
0.5
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31c2954ee75af37e6605445fd453d42700c71a8e
1,606
py
Python
openpype/hosts/houdini/plugins/publish/increment_current_file.py
jonclothcat/OpenPype
d1208cbebc0a7f378de0062ccd653295c6399195
[ "MIT" ]
87
2021-05-07T08:40:46.000Z
2022-03-19T00:36:25.000Z
openpype/hosts/houdini/plugins/publish/increment_current_file.py
jonclothcat/OpenPype
d1208cbebc0a7f378de0062ccd653295c6399195
[ "MIT" ]
1,019
2021-04-26T06:22:56.000Z
2022-03-31T16:30:43.000Z
openpype/hosts/houdini/plugins/publish/increment_current_file.py
jonclothcat/OpenPype
d1208cbebc0a7f378de0062ccd653295c6399195
[ "MIT" ]
33
2021-04-29T12:35:54.000Z
2022-03-25T14:48:42.000Z
import pyblish.api import avalon.api from openpype.api import version_up from openpype.action import get_errored_plugins_from_data class IncrementCurrentFile(pyblish.api.InstancePlugin): """Increment the current file. Saves the current scene with an increased version number. """ label = "Increment...
30.884615
67
0.643213
177
1,606
5.644068
0.548023
0.077077
0.034034
0.042042
0.05005
0
0
0
0
0
0
0.004318
0.278954
1,606
51
68
31.490196
0.858377
0.155044
0
0.058824
0
0
0.172646
0.020927
0
0
0
0
0.029412
1
0.029412
false
0
0.117647
0
0.352941
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31c40d9158227b21f8cb192d674e54997bf631fc
2,586
py
Python
968 Binary Tree Cameras.py
krishna13052001/LeetCode
cd6ec626bea61f0bd9e8493622074f9e69a7a1c3
[ "MIT" ]
872
2015-06-15T12:02:41.000Z
2022-03-30T08:44:35.000Z
968 Binary Tree Cameras.py
nadeemshaikh-github/LeetCode
3fb14aeea62a960442e47dfde9f964c7ffce32be
[ "MIT" ]
8
2015-06-21T15:11:59.000Z
2022-02-01T11:22:34.000Z
968 Binary Tree Cameras.py
nadeemshaikh-github/LeetCode
3fb14aeea62a960442e47dfde9f964c7ffce32be
[ "MIT" ]
328
2015-06-28T03:10:35.000Z
2022-03-29T11:05:28.000Z
#!/usr/bin/python3 """ Given a binary tree, we install cameras on the nodes of the tree. Each camera at a node can monitor its parent, itself, and its immediate children. Calculate the minimum number of cameras needed to monitor all nodes of the tree. Example 1: Input: [0,0,null,0,0] Output: 1 Explanation: One c...
23.944444
81
0.587394
361
2,586
4.174515
0.31856
0.109489
0.05574
0.02787
0.369608
0.309224
0.273391
0.184472
0.142004
0.142004
0
0.013683
0.321732
2,586
107
82
24.168224
0.845496
0.376257
0
0.413043
0
0
0
0
0
0
0
0
0
1
0.152174
false
0
0
0
0.326087
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31c5aa8dd90d83d5636e20aed612d574a8d8b309
308
py
Python
examples/get_tiktoks_by_sound.py
twitter-79/TikTok-Api
366fd2b157dfa66586aa6edc91c50ccf1cf00785
[ "MIT" ]
2,095
2019-05-26T17:07:02.000Z
2022-03-31T11:42:32.000Z
examples/get_tiktoks_by_sound.py
twitter-79/TikTok-Api
366fd2b157dfa66586aa6edc91c50ccf1cf00785
[ "MIT" ]
633
2019-06-11T06:42:03.000Z
2022-03-31T11:43:42.000Z
examples/get_tiktoks_by_sound.py
twitter-79/TikTok-Api
366fd2b157dfa66586aa6edc91c50ccf1cf00785
[ "MIT" ]
630
2019-09-30T18:11:58.000Z
2022-03-30T16:23:01.000Z
from TikTokApi import TikTokApi api = TikTokApi.get_instance() count = 30 # You can find this from a tiktok getting method in another way or find songs from the discoverMusic method. sound_id = "6601861313180207878" tiktoks = api.by_sound(sound_id, count=count) for tiktok in tiktoks: print(tiktok)
22
108
0.772727
46
308
5.086957
0.652174
0.059829
0
0
0
0
0
0
0
0
0
0.081712
0.165584
308
13
109
23.692308
0.828794
0.344156
0
0
0
0
0.095
0
0
0
0
0
0
1
0
false
0
0.142857
0
0.142857
0.142857
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31c5c0e1d9a4cbb4ae462748e1bb8e68224eb9d2
4,464
py
Python
code/SimPleAC_pof_paperplots.py
1ozturkbe/robustSPpaper
d90f01945f96c5bd45f3518665e52d920820e4d7
[ "MIT" ]
null
null
null
code/SimPleAC_pof_paperplots.py
1ozturkbe/robustSPpaper
d90f01945f96c5bd45f3518665e52d920820e4d7
[ "MIT" ]
7
2018-06-25T14:51:29.000Z
2019-06-26T18:20:12.000Z
code/SimPleAC_pof_paperplots.py
1ozturkbe/robustSPpaper
d90f01945f96c5bd45f3518665e52d920820e4d7
[ "MIT" ]
null
null
null
from builtins import str from builtins import range from robust.simulations.simulate import filter_gamma_result_dict from SimPleAC_save import load_obj import pickle as pickle import numpy as np import matplotlib.pyplot as plt from SimPleAC_pof_simulate import pof_parameters if __name__ == "__main__": # Retrieving...
49.054945
124
0.641801
537
4,464
5.134078
0.324022
0.035546
0.030831
0.038085
0.23395
0.18716
0.18716
0.163946
0.110265
0.110265
0
0.023864
0.220878
4,464
90
125
49.6
0.768833
0.050179
0
0
0
0
0.155209
0.033546
0
0
0
0
0
1
0
false
0
0.101266
0
0.101266
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31c9193304e5d2e005f4e4e2afb188aa62cfb25b
2,218
py
Python
tests/test_db_exam_psd.py
awenhaowenchao/bee
cac7522f8994aa3067c6e0a1bb3613de5c577129
[ "MIT" ]
4
2019-11-12T05:01:42.000Z
2022-02-23T01:52:11.000Z
tests/test_db_exam_psd.py
awenhaowenchao/bee
cac7522f8994aa3067c6e0a1bb3613de5c577129
[ "MIT" ]
6
2021-03-19T08:13:39.000Z
2022-03-02T15:00:19.000Z
tests/test_db_exam_psd.py
awenhaowenchao/bee
cac7522f8994aa3067c6e0a1bb3613de5c577129
[ "MIT" ]
null
null
null
from datetime import datetime from bee import Psd, CX, On, T from bee import Model, IntegerField, StringField, DateTimeField, Equal, W, C db_exam = Psd.open("exam") # 1) sing table count search, SELECT COUNT(*) AS COUNT FROM t_teacher with db_exam.connection() as conn: teacher_count = db_exam.Select(*CX("COUNT(*)...
31.239437
126
0.654193
344
2,218
4.09593
0.235465
0.068133
0.068133
0.099361
0.506742
0.476934
0.369056
0.28318
0.28318
0.252661
0
0.012749
0.186655
2,218
70
127
31.685714
0.768293
0.287647
0
0.358974
0
0
0.11467
0
0
0
0
0
0
1
0
false
0.025641
0.076923
0
0.179487
0.179487
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31cb176f4032d56f3c4634406ddd887dbecb2fe6
19,781
py
Python
slybot/slybot/plugins/scrapely_annotations/builder.py
coolkunal64/ht
b7c52d5604dd75ea4086a6ff92eaa2db85bb145c
[ "BSD-3-Clause" ]
null
null
null
slybot/slybot/plugins/scrapely_annotations/builder.py
coolkunal64/ht
b7c52d5604dd75ea4086a6ff92eaa2db85bb145c
[ "BSD-3-Clause" ]
null
null
null
slybot/slybot/plugins/scrapely_annotations/builder.py
coolkunal64/ht
b7c52d5604dd75ea4086a6ff92eaa2db85bb145c
[ "BSD-3-Clause" ]
null
null
null
import json from scrapy import Selector from scrapy.utils.spider import arg_to_iter from scrapely.htmlpage import parse_html, HtmlTag, HtmlDataFragment from collections import defaultdict from itertools import tee, count, groupby from operator import itemgetter from slybot.utils import (serialize_tag, add_tagids, re...
41.210417
79
0.553258
2,038
19,781
5.174681
0.126104
0.039446
0.01062
0.013086
0.194671
0.151716
0.106012
0.076996
0.051109
0.041153
0
0.003902
0.352207
19,781
479
80
41.296451
0.819104
0.073606
0
0.181122
0
0
0.067665
0.001436
0
0
0
0
0
1
0.045918
false
0.005102
0.022959
0.005102
0.130102
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31ce1f02b533697e41ca279b2476dd124fe63eb7
9,840
py
Python
scripts/slave/recipes/mojo.py
bopopescu/chromium-build
f8e42c70146c1b668421ee6358dc550a955770a3
[ "BSD-3-Clause" ]
null
null
null
scripts/slave/recipes/mojo.py
bopopescu/chromium-build
f8e42c70146c1b668421ee6358dc550a955770a3
[ "BSD-3-Clause" ]
null
null
null
scripts/slave/recipes/mojo.py
bopopescu/chromium-build
f8e42c70146c1b668421ee6358dc550a955770a3
[ "BSD-3-Clause" ]
1
2020-07-22T09:16:32.000Z
2020-07-22T09:16:32.000Z
# Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. DEPS = [ 'adb', 'depot_tools/bot_update', 'depot_tools/gclient', 'goma', 'recipe_engine/context', 'recipe_engine/json', 'recipe_engine/path', ...
32.582781
80
0.613821
1,160
9,840
5.02069
0.24569
0.051339
0.020604
0.019574
0.244505
0.152988
0.097184
0.05649
0.032452
0.032452
0
0.01002
0.249492
9,840
301
81
32.69103
0.778605
0.081707
0
0.159184
0
0
0.294476
0.048358
0
0
0
0.003322
0
1
0.032653
false
0
0
0
0.044898
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31d0500f716a9df50359013b1a61c1658f74b81f
3,101
py
Python
lib/navigation/AreaFighting.py
sadnecc/pb
3142764e350f92034eb671cfc3d1dae42dea0f0a
[ "MIT" ]
null
null
null
lib/navigation/AreaFighting.py
sadnecc/pb
3142764e350f92034eb671cfc3d1dae42dea0f0a
[ "MIT" ]
null
null
null
lib/navigation/AreaFighting.py
sadnecc/pb
3142764e350f92034eb671cfc3d1dae42dea0f0a
[ "MIT" ]
1
2021-05-30T11:15:02.000Z
2021-05-30T11:15:02.000Z
# -*- coding:utf8 -*- import random import time from lib.navigation.PathFinding import Pathfinding from lib.control.Control import Control from lib.unit.Player import Player from lib.struct.CoordiPoint import CoordiPoint # 区域打怪 class AreaFighting(Pathfinding): # area_pos: 区域4角坐标。顺序为:左上,右上,左下,右下 def __init__(se...
43.676056
137
0.525637
428
3,101
3.691589
0.233645
0.035443
0.011392
0.027848
0.136709
0.13038
0.087342
0.051899
0.021519
0.021519
0
0.015331
0.263786
3,101
70
138
44.3
0.676741
0.145759
0
0.039216
0
0
0.120441
0.06155
0
0
0
0
0
1
0.078431
false
0
0.137255
0
0.313725
0.098039
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31d16107e52098b68243258cade721f1a3c378e4
3,002
py
Python
examples/cochrane-simplification/log_regression/bow_newsela_lm_tokens.py
AshOlogn/transformers
c4b8c360d4aa78642f4a815ddd2ba9c9fa304c8d
[ "Apache-2.0" ]
null
null
null
examples/cochrane-simplification/log_regression/bow_newsela_lm_tokens.py
AshOlogn/transformers
c4b8c360d4aa78642f4a815ddd2ba9c9fa304c8d
[ "Apache-2.0" ]
null
null
null
examples/cochrane-simplification/log_regression/bow_newsela_lm_tokens.py
AshOlogn/transformers
c4b8c360d4aa78642f4a815ddd2ba9c9fa304c8d
[ "Apache-2.0" ]
null
null
null
import json import os from os.path import join from random import shuffle import numpy as np from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer from sklearn.preprocessing import MinMaxScaler, normalize from sklearn.linear_model import LogisticRegression from sklearn.model_selection import cros...
31.93617
110
0.672552
429
3,002
4.5338
0.319347
0.021594
0.037018
0.02365
0.153213
0.135733
0.084319
0.084319
0.045244
0.045244
0
0.01519
0.210526
3,002
93
111
32.27957
0.805485
0.083944
0
0.065574
0
0
0.071819
0.048852
0
0
0
0
0
1
0.081967
false
0
0.180328
0
0.311475
0.016393
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0
31d2496126215c595f14a661c15b593c05970c11
3,081
py
Python
TCU/usageexample/automationexample.py
p--q/TCU
51e2569cdc7553344f2ce279107a39677c3b106e
[ "BSD-3-Clause" ]
null
null
null
TCU/usageexample/automationexample.py
p--q/TCU
51e2569cdc7553344f2ce279107a39677c3b106e
[ "BSD-3-Clause" ]
null
null
null
TCU/usageexample/automationexample.py
p--q/TCU
51e2569cdc7553344f2ce279107a39677c3b106e
[ "BSD-3-Clause" ]
null
null
null
#!/opt/libreoffice5.4/program/python # -*- coding: utf-8 -*- import unohelper # オートメーションには必須(必須なのはuno)。 def macro(): ctx = XSCRIPTCONTEXT.getComponentContext() # コンポーネントコンテクストの取得。 smgr = ctx.getServiceManager() # サービスマネージャーの取得。 tcu = smgr.createInstanceWithContext("pq.Tcu", ctx) # サービス名か実装名でインスタンス化。 print("\n"...
50.508197
162
0.73937
291
3,081
7.773196
0.505155
0.02122
0.035367
0.012378
0.025641
0
0
0
0
0
0
0.00265
0.142486
3,081
61
163
50.508197
0.85352
0.268419
0
0.070175
0
0
0.167791
0.090418
0
0
0
0
0
1
0.175439
false
0
0.105263
0.052632
0.438596
0.070175
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
1
0