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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8a6c2e5a6d6baef647e0e3b1e7b605691b398cfe | 188 | py | Python | res/example1.py | tghira16/Giraphics | 74265c4c0220c677e0fa3e5e65fd0b7087401106 | [
"MIT"
] | 1 | 2021-03-24T10:09:57.000Z | 2021-03-24T10:09:57.000Z | res/example1.py | tghira16/Giraphics | 74265c4c0220c677e0fa3e5e65fd0b7087401106 | [
"MIT"
] | null | null | null | res/example1.py | tghira16/Giraphics | 74265c4c0220c677e0fa3e5e65fd0b7087401106 | [
"MIT"
] | null | null | null | from giraphics.graphing.graph import Graph
def func(x):
return (x-3)*(x+2)*x*0.2
g = Graph(800,600,8,6, 'example1.svg')
g.bg()
g.grid()
g.axes()
g.graph(func)
g.save()
g.display() | 12.533333 | 42 | 0.632979 | 38 | 188 | 3.131579 | 0.631579 | 0.10084 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080247 | 0.138298 | 188 | 15 | 43 | 12.533333 | 0.654321 | 0 | 0 | 0 | 0 | 0 | 0.063492 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0.1 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a6c4e202130d51c730ab01bd3f2f21e5ec32862 | 758 | py | Python | tools/data.py | seanys/2D-Irregular-Packing-Algorithm | cc10edff2bc2631fcbcb47acf7bb3215e5c5023c | [
"MIT"
] | 29 | 2020-02-07T06:41:25.000Z | 2022-03-16T18:04:07.000Z | tools/data.py | seanys/2D-Irregular-Packing-Algorithm | cc10edff2bc2631fcbcb47acf7bb3215e5c5023c | [
"MIT"
] | 6 | 2020-04-27T01:36:27.000Z | 2022-01-31T11:59:05.000Z | tools/data.py | seanys/2D-Irregular-Packing-Algorithm | cc10edff2bc2631fcbcb47acf7bb3215e5c5023c | [
"MIT"
] | 12 | 2020-05-05T05:34:06.000Z | 2022-03-26T07:32:46.000Z | from tools.geofunc import GeoFunc
import pandas as pd
import json
def getData(index):
'''报错数据集有(空心):han,jakobs1,jakobs2 '''
'''形状过多暂时未处理:shapes、shirt、swim、trousers'''
name=["ga","albano","blaz1","blaz2","dighe1","dighe2","fu","han","jakobs1","jakobs2","mao","marques","shapes","shirts","swim","trousers"]
... | 36.095238 | 141 | 0.60686 | 110 | 758 | 4.172727 | 0.581818 | 0.026144 | 0.074074 | 0.043573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063291 | 0.166227 | 758 | 20 | 142 | 37.9 | 0.662975 | 0.039578 | 0 | 0 | 0 | 0 | 0.170472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.3125 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a6e9d6c995b4c34ef5a6722c4973c2c7fb333f1 | 1,065 | py | Python | projects/eyetracking/gen_adhd_sin.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | null | null | null | projects/eyetracking/gen_adhd_sin.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | null | null | null | projects/eyetracking/gen_adhd_sin.py | nirdslab/streaminghub | a0d9f5f8be0ee6f090bd2b48b9f596695497c2bf | [
"MIT"
] | 1 | 2020-01-22T15:35:29.000Z | 2020-01-22T15:35:29.000Z | #!/usr/bin/env python3
import glob
import os
import pandas as pd
import dfs
SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig"
OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin"
if __name__ == '__main__':
files = glob.glob(f"{SRC_DIR}/*.csv")
file_names = list(map(os.path.basename, files))
for file_name in file_names:
... | 35.5 | 107 | 0.613146 | 170 | 1,065 | 3.652941 | 0.482353 | 0.05153 | 0.022544 | 0.032206 | 0.077295 | 0.077295 | 0.077295 | 0.077295 | 0 | 0 | 0 | 0.01891 | 0.155869 | 1,065 | 29 | 108 | 36.724138 | 0.671858 | 0.117371 | 0 | 0 | 0 | 0 | 0.277481 | 0.11206 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.190476 | 0 | 0.190476 | 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 |
8a6f626dba5ce35c66724326d654b9ba19117497 | 4,322 | py | Python | dataProcessing.py | TauferLab/PENGUIN | af789163078310f2504b8a0163df4395ccf119f1 | [
"Apache-2.0"
] | null | null | null | dataProcessing.py | TauferLab/PENGUIN | af789163078310f2504b8a0163df4395ccf119f1 | [
"Apache-2.0"
] | null | null | null | dataProcessing.py | TauferLab/PENGUIN | af789163078310f2504b8a0163df4395ccf119f1 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import matplotlib.pyplot as plt
import CurveFit
import shutil
#find all DIRECTORIES containing non-hidden files ending in FILENAME
def getDataDirectories(DIRECTORY, FILENAME="valLoss.txt"):
directories=[]
for directory in os.scand... | 38.936937 | 204 | 0.657103 | 601 | 4,322 | 4.703827 | 0.31614 | 0.027237 | 0.066148 | 0.045278 | 0.303856 | 0.259993 | 0.22179 | 0.22179 | 0.22179 | 0.22179 | 0 | 0.004846 | 0.236002 | 4,322 | 110 | 205 | 39.290909 | 0.851302 | 0.215178 | 0 | 0.246753 | 0 | 0.012987 | 0.110027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077922 | false | 0.012987 | 0.090909 | 0 | 0.272727 | 0.012987 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a6fea40902a5d1ec59a6cdd9117e96fcdef70a1 | 572 | py | Python | algo_probs/newcoder/classic/nc52.py | Jackthebighead/recruiment-2022 | a81007908e3c2f65a6be3ff2d62dfb92d0753b0d | [
"MIT"
] | null | null | null | algo_probs/newcoder/classic/nc52.py | Jackthebighead/recruiment-2022 | a81007908e3c2f65a6be3ff2d62dfb92d0753b0d | [
"MIT"
] | null | null | null | algo_probs/newcoder/classic/nc52.py | Jackthebighead/recruiment-2022 | a81007908e3c2f65a6be3ff2d62dfb92d0753b0d | [
"MIT"
] | null | null | null | # 题意:给出一个仅包含字符'(',')','{','}','['和']',的字符串,判断给出的字符串是否是合法的括号序列。括号必须以正确的顺序关闭,"()"和"()[]{}"都是合法的括号序列,但"(]"和"([)]"不合法。
# @param s string字符串
# @return bool布尔型
#
class Solution:
def isValid(self , s ):
# write code here
if not s: return True
stack = []
dic = {'{':'}','[':']','(':')'}
... | 30.105263 | 114 | 0.47028 | 62 | 572 | 4.33871 | 0.645161 | 0.037175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002632 | 0.335664 | 572 | 19 | 115 | 30.105263 | 0.705263 | 0.286713 | 0 | 0 | 0 | 0 | 0.014888 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 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 |
8a73038a9d54b6fdd609f321f9fbc694a2017b7b | 2,385 | py | Python | piecrust/processing/util.py | airbornemint/PieCrust2 | bd8e44a1a3ba646a9ebfbb4d4f1fa01a1daa3beb | [
"Apache-2.0"
] | null | null | null | piecrust/processing/util.py | airbornemint/PieCrust2 | bd8e44a1a3ba646a9ebfbb4d4f1fa01a1daa3beb | [
"Apache-2.0"
] | null | null | null | piecrust/processing/util.py | airbornemint/PieCrust2 | bd8e44a1a3ba646a9ebfbb4d4f1fa01a1daa3beb | [
"Apache-2.0"
] | null | null | null | import os.path
import time
import logging
import yaml
from piecrust.processing.base import Processor
logger = logging.getLogger(__name__)
class _ConcatInfo(object):
timestamp = 0
files = None
delim = "\n"
class ConcatProcessor(Processor):
PROCESSOR_NAME = 'concat'
def __init__(self):
... | 28.392857 | 71 | 0.554717 | 288 | 2,385 | 4.458333 | 0.322917 | 0.063084 | 0.023364 | 0.024922 | 0.054517 | 0.024922 | 0 | 0 | 0 | 0 | 0 | 0.003127 | 0.32956 | 2,385 | 83 | 72 | 28.73494 | 0.799875 | 0 | 0 | 0.0625 | 0 | 0 | 0.060403 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.078125 | 0.03125 | 0.359375 | 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 |
8a73f2115b3d49a7048eebbbf6a7d009bf2bcb02 | 864 | py | Python | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | TopQuarkAnalysis/TopJetCombination/python/TtSemiLepJetCombMaxSumPtWMass_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
#
# module to make the MaxSumPtWMass jet combination
#
findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass",
## jet input
jets = cms.InputTag("selectedPatJets"),
## lepton input
leps = cms.InputTag("selectedPatMuons"),
## ma... | 36 | 83 | 0.706019 | 101 | 864 | 6.039604 | 0.653465 | 0.044262 | 0.062295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014472 | 0.200231 | 864 | 23 | 84 | 37.565217 | 0.868307 | 0.392361 | 0 | 0 | 0 | 0 | 0.174257 | 0.112871 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 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 |
8a78745915eb3a4aaf90865a024b4d8bafd46ca7 | 5,151 | py | Python | research/gnn/sgcn/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-11-18T08:17:44.000Z | 2021-11-18T08:17:44.000Z | research/gnn/sgcn/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/gnn/sgcn/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 48.140187 | 117 | 0.644729 | 685 | 5,151 | 4.674453 | 0.340146 | 0.033729 | 0.06371 | 0.016864 | 0.138663 | 0.094316 | 0.078701 | 0.063086 | 0.063086 | 0.042473 | 0 | 0.021423 | 0.211609 | 5,151 | 106 | 118 | 48.59434 | 0.767052 | 0.230052 | 0 | 0.03125 | 0 | 0 | 0.214512 | 0.037995 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046875 | false | 0 | 0.078125 | 0 | 0.15625 | 0.078125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a78d7cdf72b62f6c5c9341d633e72ed6d4ea01c | 4,001 | py | Python | pykeops/common/get_options.py | dvolgyes/keops | 58b2c5f7822a7468a6da2ce439939e7dad04d7f3 | [
"MIT"
] | 1 | 2020-09-29T13:21:30.000Z | 2020-09-29T13:21:30.000Z | pykeops/common/get_options.py | dvolgyes/keops | 58b2c5f7822a7468a6da2ce439939e7dad04d7f3 | [
"MIT"
] | null | null | null | pykeops/common/get_options.py | dvolgyes/keops | 58b2c5f7822a7468a6da2ce439939e7dad04d7f3 | [
"MIT"
] | null | null | null | import re
import numpy as np
from collections import OrderedDict
import pykeops
import pykeops.config
############################################################
# define backend
############################################################
class SetBackend():
"""
This class is used to centralized the op... | 38.84466 | 125 | 0.59935 | 476 | 4,001 | 4.890756 | 0.260504 | 0.056701 | 0.039519 | 0.044674 | 0.292096 | 0.243127 | 0.213918 | 0.166667 | 0.097079 | 0.097079 | 0 | 0.014972 | 0.282179 | 4,001 | 102 | 126 | 39.22549 | 0.795613 | 0.227443 | 0 | 0.133333 | 0 | 0 | 0.091419 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.116667 | 0.033333 | 0.466667 | 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 |
8a78e9f69beda0a9b40161770e8196cc19774191 | 4,306 | py | Python | prepare_features_vc.py | tkm2261/dnn-voice-changer | 63a4ca0b2d8a33a26fc5aaec168180152df1b429 | [
"MIT"
] | 13 | 2018-03-09T07:56:50.000Z | 2022-03-26T12:23:22.000Z | prepare_features_vc.py | tkm2261/dnn-voice-changer | 63a4ca0b2d8a33a26fc5aaec168180152df1b429 | [
"MIT"
] | null | null | null | prepare_features_vc.py | tkm2261/dnn-voice-changer | 63a4ca0b2d8a33a26fc5aaec168180152df1b429 | [
"MIT"
] | 2 | 2018-06-16T03:44:56.000Z | 2021-04-06T17:32:38.000Z | """Prepare acoustic features for one-to-one voice conversion.
usage:
prepare_features_vc.py [options] <DATA_ROOT> <source_speaker> <target_speaker>
options:
--max_files=<N> Max num files to be collected. [default: 100]
--dst_dir=<d> Destination directory [default: data/cmu_arctic_vc].
--ov... | 35.883333 | 86 | 0.656061 | 567 | 4,306 | 4.781305 | 0.340388 | 0.029509 | 0.018443 | 0.023239 | 0.101807 | 0.019181 | 0 | 0 | 0 | 0 | 0 | 0.012154 | 0.235718 | 4,306 | 119 | 87 | 36.184874 | 0.811607 | 0.171621 | 0 | 0.025641 | 0 | 0 | 0.072435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.205128 | 0 | 0.25641 | 0.102564 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a7905cf7b3fc947d0fefe5c680371a050d82807 | 1,855 | py | Python | lib/tests/streamlit/pydeck_test.py | zgtz/streamlit | be797682394955ef2b94a5f7641b6f9d8fd1dbfc | [
"Apache-2.0"
] | 1 | 2022-01-19T10:48:49.000Z | 2022-01-19T10:48:49.000Z | lib/tests/streamlit/pydeck_test.py | zgtz/streamlit | be797682394955ef2b94a5f7641b6f9d8fd1dbfc | [
"Apache-2.0"
] | 52 | 2021-10-04T21:52:48.000Z | 2021-12-29T02:18:44.000Z | lib/tests/streamlit/pydeck_test.py | zgtz/streamlit | be797682394955ef2b94a5f7641b6f9d8fd1dbfc | [
"Apache-2.0"
] | null | null | null | # Copyright 2018-2021 Streamlit 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 agreed to in wr... | 30.409836 | 75 | 0.618329 | 247 | 1,855 | 4.526316 | 0.489879 | 0.053667 | 0.044723 | 0.067084 | 0.192308 | 0.161002 | 0.161002 | 0.161002 | 0.161002 | 0.161002 | 0 | 0.029477 | 0.268464 | 1,855 | 60 | 76 | 30.916667 | 0.794399 | 0.338005 | 0 | 0.121212 | 0 | 0 | 0.06971 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.060606 | false | 0 | 0.181818 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a790773c525636d7fecb88a7d84df906ba09ba6 | 40,698 | py | Python | sdks/python/apache_beam/io/gcp/bigquery_tools.py | Doctusoft/beam | 91d59e78ffec3771a1d646c4e320fff571393829 | [
"Apache-2.0"
] | null | null | null | sdks/python/apache_beam/io/gcp/bigquery_tools.py | Doctusoft/beam | 91d59e78ffec3771a1d646c4e320fff571393829 | [
"Apache-2.0"
] | 1 | 2022-02-10T06:56:11.000Z | 2022-02-10T06:56:11.000Z | sdks/python/apache_beam/io/gcp/bigquery_tools.py | Doctusoft/beam | 91d59e78ffec3771a1d646c4e320fff571393829 | [
"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 us... | 39.095101 | 80 | 0.685832 | 5,124 | 40,698 | 5.263466 | 0.149688 | 0.027364 | 0.016611 | 0.01802 | 0.319355 | 0.278865 | 0.238747 | 0.221246 | 0.205451 | 0.17297 | 0 | 0.00557 | 0.236793 | 40,698 | 1,040 | 81 | 39.132692 | 0.862722 | 0.282373 | 0 | 0.331325 | 0 | 0 | 0.066047 | 0.004368 | 0 | 0 | 0 | 0.002885 | 0.001506 | 1 | 0.070783 | false | 0.004518 | 0.037651 | 0.003012 | 0.21988 | 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 |
8a790aaa3beecccbae1e5fe2d0bb1478dbadd597 | 1,841 | py | Python | VENV/lib/python3.6/site-packages/PyInstaller/hooks/hook-PyQt5.py | workingyifei/display-pattern-generator | b27be84c6221fa93833f283109870737b05bfbf6 | [
"MIT"
] | 3 | 2018-11-27T06:30:23.000Z | 2021-05-30T15:56:32.000Z | VENV/lib/python3.6/site-packages/PyInstaller/hooks/hook-PyQt5.py | workingyifei/display-pattern-generator | b27be84c6221fa93833f283109870737b05bfbf6 | [
"MIT"
] | 1 | 2018-11-15T02:00:31.000Z | 2021-12-06T02:20:32.000Z | VENV/lib/python3.6/site-packages/PyInstaller/hooks/hook-PyQt5.py | workingyifei/display-pattern-generator | b27be84c6221fa93833f283109870737b05bfbf6 | [
"MIT"
] | 1 | 2020-11-06T18:46:35.000Z | 2020-11-06T18:46:35.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2005-2017, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License with exception
# for distributing bootloader.
#
# The full license is in the file COPYING.txt, distributed with this s... | 42.813953 | 90 | 0.669745 | 257 | 1,841 | 4.642023 | 0.455253 | 0.030176 | 0.022632 | 0.031852 | 0.043588 | 0.043588 | 0 | 0 | 0 | 0 | 0 | 0.014887 | 0.160782 | 1,841 | 42 | 91 | 43.833333 | 0.757282 | 0.501901 | 0 | 0 | 0 | 0 | 0.091111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.294118 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a7abfc40ef422e33ab3c8284edc61617b59e3dc | 1,165 | py | Python | skimage/segmentation/tests/test_felzenszwalb.py | jaberg/scikits-image | 2ab3e2dfb341189ef2ff9370c6cf3d33ef6ec88d | [
"BSD-3-Clause"
] | 2 | 2020-02-17T18:54:33.000Z | 2021-09-28T15:18:23.000Z | skimage/segmentation/tests/test_felzenszwalb.py | jaberg/scikits-image | 2ab3e2dfb341189ef2ff9370c6cf3d33ef6ec88d | [
"BSD-3-Clause"
] | 1 | 2020-03-30T12:31:55.000Z | 2020-03-30T12:31:55.000Z | skimage/segmentation/tests/test_felzenszwalb.py | emmanuelle/scikit-image | eccc41907135cf81b99c4be18a480a9bc705485d | [
"BSD-3-Clause"
] | 1 | 2019-12-20T19:19:59.000Z | 2019-12-20T19:19:59.000Z | import numpy as np
from numpy.testing import assert_equal, assert_array_equal
from nose.tools import assert_greater
from skimage.segmentation import felzenszwalb
def test_grey():
# very weak tests. This algorithm is pretty unstable.
img = np.zeros((20, 21))
img[:10, 10:] = 0.2
img[10:, :10] = 0.4
... | 29.125 | 73 | 0.628326 | 190 | 1,165 | 3.710526 | 0.342105 | 0.056738 | 0.059574 | 0.04539 | 0.479433 | 0.479433 | 0.348936 | 0.348936 | 0.348936 | 0.348936 | 0 | 0.092715 | 0.222318 | 1,165 | 39 | 74 | 29.871795 | 0.68543 | 0.156223 | 0 | 0.142857 | 0 | 0 | 0.008188 | 0 | 0 | 0 | 0 | 0 | 0.321429 | 1 | 0.071429 | false | 0 | 0.178571 | 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 |
8a7ac7f87e160e8f864dafce2acd68a6454b8a68 | 1,419 | py | Python | tests/middleware/test_csrf_middleware.py | w3x10e8/core | d8f0ca29c2bd5e86d199391fa916ce2f5c9b0f49 | [
"MIT"
] | null | null | null | tests/middleware/test_csrf_middleware.py | w3x10e8/core | d8f0ca29c2bd5e86d199391fa916ce2f5c9b0f49 | [
"MIT"
] | null | null | null | tests/middleware/test_csrf_middleware.py | w3x10e8/core | d8f0ca29c2bd5e86d199391fa916ce2f5c9b0f49 | [
"MIT"
] | null | null | null | from masonite.request import Request
from masonite.view import View
from masonite.auth.Csrf import Csrf
from masonite.app import App
from masonite.middleware import CsrfMiddleware
from masonite.testsuite.TestSuite import generate_wsgi
import pytest
from masonite.exceptions import InvalidCSRFToken
class TestCSRFMiddle... | 36.384615 | 107 | 0.718816 | 170 | 1,419 | 5.817647 | 0.323529 | 0.100101 | 0.045501 | 0.044489 | 0.086957 | 0.086957 | 0.086957 | 0.086957 | 0 | 0 | 0 | 0 | 0.176885 | 1,419 | 38 | 108 | 37.342105 | 0.846747 | 0 | 0 | 0.233333 | 0 | 0 | 0.091614 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.133333 | false | 0 | 0.266667 | 0 | 0.433333 | 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 |
8a7bd23662f4d2b0b0c83db0df08df0f16f7923c | 690 | py | Python | phoible/views.py | ltxom/phoible | 7ce6f5e62d885f142dba61937d920e68fa7f9fca | [
"Apache-2.0"
] | 31 | 2015-01-20T01:36:22.000Z | 2022-03-11T16:47:30.000Z | phoible/views.py | ltxom/phoible | 7ce6f5e62d885f142dba61937d920e68fa7f9fca | [
"Apache-2.0"
] | 22 | 2015-03-09T11:11:31.000Z | 2022-03-07T14:08:29.000Z | phoible/views.py | ltxom/phoible | 7ce6f5e62d885f142dba61937d920e68fa7f9fca | [
"Apache-2.0"
] | 12 | 2015-11-16T18:28:43.000Z | 2021-05-20T21:55:49.000Z | from pyramid.view import view_config
import os
@view_config(route_name='faq', renderer='faq.mako')
def faq_view(request):
dir_path = os.path.dirname(__file__)
faq_file = os.path.join(dir_path, 'static/faq_with_indexes.html')
with open(faq_file, 'r') as f:
faq_page = f.read()
return {'content':... | 32.857143 | 72 | 0.708696 | 98 | 690 | 4.693878 | 0.336735 | 0.06087 | 0.065217 | 0.082609 | 0.269565 | 0.269565 | 0.269565 | 0.152174 | 0 | 0 | 0 | 0 | 0.149275 | 690 | 20 | 73 | 34.5 | 0.783646 | 0 | 0 | 0.125 | 0 | 0 | 0.155072 | 0.073913 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 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 |
8a7c5a43d05f7336921551d124cf954c34bc06e5 | 46,013 | py | Python | tests/restapi/test_routes.py | aiace9/aiida-core | 09ac91654648adb684a58d5d2d7b1c11a503dae8 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | tests/restapi/test_routes.py | aiace9/aiida-core | 09ac91654648adb684a58d5d2d7b1c11a503dae8 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | tests/restapi/test_routes.py | aiace9/aiida-core | 09ac91654648adb684a58d5d2d7b1c11a503dae8 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 40.186026 | 117 | 0.583878 | 5,197 | 46,013 | 4.981335 | 0.090437 | 0.021361 | 0.016224 | 0.021014 | 0.585522 | 0.554465 | 0.518812 | 0.472922 | 0.432401 | 0.410229 | 0 | 0.008314 | 0.283768 | 46,013 | 1,144 | 118 | 40.221154 | 0.777218 | 0.181949 | 0 | 0.330827 | 0 | 0.009023 | 0.193589 | 0.097403 | 0 | 0 | 0 | 0.001748 | 0.094737 | 1 | 0.103759 | false | 0.001504 | 0.02406 | 0.003008 | 0.141353 | 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 |
8a7d500dd98fa04ac32ae6b712ad22a261bd4d52 | 3,644 | py | Python | processmonitor.py | yletallec/processmonitor | 95db3416ec35fcb1325a1ac6c5a26807e4c3a474 | [
"MIT"
] | null | null | null | processmonitor.py | yletallec/processmonitor | 95db3416ec35fcb1325a1ac6c5a26807e4c3a474 | [
"MIT"
] | null | null | null | processmonitor.py | yletallec/processmonitor | 95db3416ec35fcb1325a1ac6c5a26807e4c3a474 | [
"MIT"
] | null | null | null | """Process Monitor
Usage:
processmonitor.py <process_name> <overall_duration> [<sampling_interval>]
processmonitor.py -h|--help
processmonitor.py -v|--version
Options:
<process_name> Process name argument.
<overall_duration> Overall duration of the monitoring in seconds.
<sampling_interval> Sam... | 31.145299 | 94 | 0.630626 | 430 | 3,644 | 5.181395 | 0.304651 | 0.029623 | 0.020197 | 0.035009 | 0.113106 | 0.037702 | 0.037702 | 0.037702 | 0 | 0 | 0 | 0.005014 | 0.233809 | 3,644 | 116 | 95 | 31.413793 | 0.79298 | 0.118002 | 0 | 0.179775 | 0 | 0.011236 | 0.227627 | 0.046773 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078652 | false | 0 | 0.11236 | 0 | 0.370787 | 0.134831 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a7d668b99ceea74e75c844a87347ac04ef02b71 | 6,740 | py | Python | Projects/DeepLearningTechniques/MobileNet_v2/tiny_imagenet/data_loader.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | 2 | 2020-12-05T07:42:55.000Z | 2021-01-06T23:23:18.000Z | Projects/DeepLearningTechniques/MobileNet_v2/tiny_imagenet/data_loader.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | Projects/DeepLearningTechniques/MobileNet_v2/tiny_imagenet/data_loader.py | Tim232/Python-Things | 05f0f373a4cf298e70d9668c88a6e3a9d1cd8146 | [
"MIT"
] | null | null | null | import os
import re
import numpy as np
from Projects.DeepLearningTechniques.MobileNet_v2.tiny_imagenet.constants import *
class DataLoader:
# todo train/test/validation => (클래스 당 500/50/50)
def __init__(self):
self.image_width = flags.FLAGS.image_width
self.image_height = flags.FLAGS.image_he... | 41.863354 | 145 | 0.616914 | 990 | 6,740 | 3.989899 | 0.162626 | 0.022785 | 0.038987 | 0.052911 | 0.622025 | 0.562532 | 0.506329 | 0.437722 | 0.398734 | 0.338987 | 0 | 0.034026 | 0.25 | 6,740 | 161 | 146 | 41.863354 | 0.747379 | 0.050593 | 0 | 0.294643 | 0 | 0 | 0.051732 | 0 | 0 | 0 | 0 | 0.006211 | 0 | 1 | 0.125 | false | 0 | 0.035714 | 0 | 0.241071 | 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 |
8a7d81f9fd3f30534398ff05abd7412a6f78b709 | 4,035 | py | Python | MarkReport/MarkReport.py | dedukun/MarkReport | 2d92c87a69db5868d14b7a59e815b9ee72d439f9 | [
"MIT"
] | null | null | null | MarkReport/MarkReport.py | dedukun/MarkReport | 2d92c87a69db5868d14b7a59e815b9ee72d439f9 | [
"MIT"
] | null | null | null | MarkReport/MarkReport.py | dedukun/MarkReport | 2d92c87a69db5868d14b7a59e815b9ee72d439f9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Command line flags
import os
import glob
import re
import pyinotify
import subprocess
from sys import stdout, stderr
from time import time, sleep
from tempfile import gettempdir
from distutils.dir_util import copy_tree
from shutil import copyfile
from weasyprint import HTML
import argparse
p... | 27.827586 | 105 | 0.662949 | 533 | 4,035 | 4.874296 | 0.35272 | 0.030793 | 0.024249 | 0.021555 | 0.092379 | 0.084681 | 0 | 0 | 0 | 0 | 0 | 0.002847 | 0.216605 | 4,035 | 144 | 106 | 28.020833 | 0.819045 | 0.034449 | 0 | 0.138614 | 0 | 0 | 0.164352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009901 | false | 0 | 0.148515 | 0 | 0.178218 | 0.009901 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a7e18d0d0b30bb03c5125997bb7d29ab2737184 | 902 | py | Python | DFS/13023.py | kjh9267/BOJ_Python | b4d2ae09c252cc9280df93ccecbd07880947827e | [
"Apache-2.0"
] | null | null | null | DFS/13023.py | kjh9267/BOJ_Python | b4d2ae09c252cc9280df93ccecbd07880947827e | [
"Apache-2.0"
] | null | null | null | DFS/13023.py | kjh9267/BOJ_Python | b4d2ae09c252cc9280df93ccecbd07880947827e | [
"Apache-2.0"
] | null | null | null | # https://www.acmicpc.net/problem/13023
import sys
sys.setrecursionlimit(999999999)
def dfs_all():
is_possible = [False]
for node in range(N):
visited = [False for _ in range(N)]
dfs(node, 0, visited, is_possible)
if is_possible[0]:
return 1
return 0
def dfs(cur, ... | 19.191489 | 49 | 0.578714 | 124 | 902 | 4.008065 | 0.379032 | 0.120724 | 0.04829 | 0.044266 | 0.084507 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03271 | 0.288248 | 902 | 46 | 50 | 19.608696 | 0.741433 | 0.04102 | 0 | 0.066667 | 0 | 0 | 0.012746 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 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 |
8a7ecd71a92cf19cd5b6422ac30a671d4195653c | 1,358 | py | Python | experiments/bst/setup.py | bigchaindb/privacy-protocols | d220f642c7c056e5ec179b47a8d0863dbc373d9d | [
"CC-BY-4.0"
] | 68 | 2017-08-02T14:22:59.000Z | 2022-02-19T05:27:42.000Z | experiments/bst/setup.py | bigchaindb/privacy-protocols | d220f642c7c056e5ec179b47a8d0863dbc373d9d | [
"CC-BY-4.0"
] | 6 | 2017-08-05T18:30:14.000Z | 2017-08-22T19:54:53.000Z | experiments/bst/setup.py | bigchaindb/privacy-protocols | d220f642c7c056e5ec179b47a8d0863dbc373d9d | [
"CC-BY-4.0"
] | 15 | 2017-08-22T16:04:26.000Z | 2022-03-13T10:36:02.000Z | """bst: BigchainDB Sharing Tools"""
from setuptools import setup, find_packages
install_requires = [
'base58~=0.2.2',
'PyNaCl~=1.1.0',
'bigchaindb-driver',
'click==6.7',
'colorama',
]
setup(
name='bst',
version='0.1.0',
description='bst: BigchainDB Sharing Tools',
long_descriptio... | 26.115385 | 74 | 0.594993 | 141 | 1,358 | 5.659574 | 0.64539 | 0.056391 | 0.093985 | 0.097744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020937 | 0.261414 | 1,358 | 51 | 75 | 26.627451 | 0.774676 | 0.021355 | 0 | 0.047619 | 0 | 0 | 0.540438 | 0.016629 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.02381 | 0 | 0.02381 | 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 |
8a7f7c81cefa2649d2218e763e7fb484932406a9 | 8,498 | py | Python | voting_ml/main.py | tommy-waltmann/voting-ml | 327de4515d8f2f7b8e072833df20eca651621ea6 | [
"BSD-3-Clause"
] | null | null | null | voting_ml/main.py | tommy-waltmann/voting-ml | 327de4515d8f2f7b8e072833df20eca651621ea6 | [
"BSD-3-Clause"
] | 2 | 2021-04-20T19:04:36.000Z | 2021-04-24T22:33:47.000Z | voting_ml/main.py | tommy-waltmann/voting-ml | 327de4515d8f2f7b8e072833df20eca651621ea6 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import sklearn
import subprocess
from sklearn import model_selection, tree
import data
import feature_selection
import model_sel
import os
import matplotlib.pyplot as plt
import seaborn as sns
def main():
#parameter space
list_test_size = [0.1,0.15,0.2] # decide this
list_ftsel_method... | 47.741573 | 222 | 0.564603 | 997 | 8,498 | 4.469408 | 0.201605 | 0.029847 | 0.046903 | 0.061041 | 0.342011 | 0.278276 | 0.27693 | 0.236535 | 0.194345 | 0.194345 | 0 | 0.011119 | 0.333255 | 8,498 | 177 | 223 | 48.011299 | 0.775327 | 0.040833 | 0 | 0.117647 | 0 | 0.007353 | 0.151889 | 0.067288 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022059 | false | 0 | 0.073529 | 0 | 0.110294 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a7f9273d28271b0f56005e762e91504d2293322 | 12,334 | py | Python | src/the_tale/the_tale/game/heroes/tests/test_logic.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | null | null | null | src/the_tale/the_tale/game/heroes/tests/test_logic.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | null | null | null | src/the_tale/the_tale/game/heroes/tests/test_logic.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | null | null | null |
import smart_imports
smart_imports.all()
class HeroDescriptionTests(utils_testcase.TestCase):
def setUp(self):
super().setUp()
game_logic.create_test_map()
account = self.accounts_factory.create_account(is_fast=True)
self.storage = game_logic_storage.LogicStorage()
se... | 44.688406 | 137 | 0.652749 | 1,499 | 12,334 | 5.098065 | 0.12475 | 0.064774 | 0.040304 | 0.01675 | 0.654148 | 0.632426 | 0.587804 | 0.503402 | 0.474483 | 0.443339 | 0 | 0.012953 | 0.236339 | 12,334 | 275 | 138 | 44.850909 | 0.798386 | 0 | 0 | 0.328283 | 0 | 0 | 0.053191 | 0.018163 | 0 | 0 | 0 | 0 | 0.212121 | 1 | 0.126263 | false | 0 | 0.010101 | 0.005051 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a7fb88f2b8f8ab7d00332f23a58d29ccc1392ee | 1,346 | py | Python | postcipes/hydraulic_jump.py | timofeymukha/postcipes | f37b349038e26bb0295a2511295a46ef63fcd851 | [
"MIT"
] | null | null | null | postcipes/hydraulic_jump.py | timofeymukha/postcipes | f37b349038e26bb0295a2511295a46ef63fcd851 | [
"MIT"
] | null | null | null | postcipes/hydraulic_jump.py | timofeymukha/postcipes | f37b349038e26bb0295a2511295a46ef63fcd851 | [
"MIT"
] | 1 | 2019-03-20T22:39:55.000Z | 2019-03-20T22:39:55.000Z | # This file is part of postcipes
# (c) Timofey Mukha
# The code is released under the MIT Licence.
# See LICENCE.txt and the Legal section in the README for more information
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .postcipe import Postcipe
impor... | 33.65 | 81 | 0.653046 | 211 | 1,346 | 3.990521 | 0.412322 | 0.066508 | 0.057007 | 0.052257 | 0.114014 | 0.114014 | 0.114014 | 0 | 0 | 0 | 0 | 0.04116 | 0.205795 | 1,346 | 39 | 82 | 34.512821 | 0.746492 | 0.122585 | 0 | 0 | 0 | 0 | 0.060374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.296296 | 0 | 0.37037 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a80b1c774bd44450fbb371648857468404e7e42 | 3,350 | py | Python | aesara/gpuarray/optdb.py | anirudhacharya/aesara | cbf91122296b68ee2ad592b2312d56f6ff65ba53 | [
"BSD-3-Clause"
] | 1 | 2021-11-09T10:19:46.000Z | 2021-11-09T10:19:46.000Z | aesara/gpuarray/optdb.py | anirudhacharya/aesara | cbf91122296b68ee2ad592b2312d56f6ff65ba53 | [
"BSD-3-Clause"
] | null | null | null | aesara/gpuarray/optdb.py | anirudhacharya/aesara | cbf91122296b68ee2ad592b2312d56f6ff65ba53 | [
"BSD-3-Clause"
] | null | null | null | from aesara.compile import optdb
from aesara.graph.opt import GraphToGPULocalOptGroup, TopoOptimizer, local_optimizer
from aesara.graph.optdb import (
EquilibriumDB,
LocalGroupDB,
OptimizationDatabase,
SequenceDB,
)
gpu_optimizer = EquilibriumDB()
gpu_cut_copies = EquilibriumDB()
# Not used for an Eq... | 28.632479 | 90 | 0.711343 | 406 | 3,350 | 5.573892 | 0.349754 | 0.060097 | 0.045073 | 0.030491 | 0.201061 | 0.14008 | 0.14008 | 0.125497 | 0.125497 | 0.125497 | 0 | 0.007124 | 0.203881 | 3,350 | 116 | 91 | 28.87931 | 0.841395 | 0.223284 | 0 | 0.238806 | 0 | 0 | 0.083695 | 0.028425 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104478 | false | 0 | 0.059701 | 0 | 0.283582 | 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 |
8a810acd6b334888a1432a3e590727946894d380 | 4,579 | py | Python | jenkinsapi/node.py | imsardine/jenkinsapi | d4bfac62a4d01394ff41540c4d8d897ab566f4eb | [
"MIT"
] | null | null | null | jenkinsapi/node.py | imsardine/jenkinsapi | d4bfac62a4d01394ff41540c4d8d897ab566f4eb | [
"MIT"
] | null | null | null | jenkinsapi/node.py | imsardine/jenkinsapi | d4bfac62a4d01394ff41540c4d8d897ab566f4eb | [
"MIT"
] | null | null | null | """
Module for jenkinsapi Node class
"""
from jenkinsapi.jenkinsbase import JenkinsBase
from jenkinsapi.custom_exceptions import PostRequired
import logging
try:
from urllib import quote as urlquote
except ImportError:
# Python3
from urllib.parse import quote as urlquote
log = logging.getLogger(__name__)... | 37.227642 | 79 | 0.580913 | 466 | 4,579 | 5.575107 | 0.281116 | 0.036952 | 0.034642 | 0.017321 | 0.265974 | 0.208622 | 0.177059 | 0.177059 | 0.148576 | 0.110855 | 0 | 0.000331 | 0.340249 | 4,579 | 122 | 80 | 37.532787 | 0.859649 | 0.233675 | 0 | 0.144928 | 0 | 0 | 0.198838 | 0.017131 | 0 | 0 | 0 | 0 | 0.057971 | 1 | 0.144928 | false | 0 | 0.086957 | 0.086957 | 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 |
8a8396f2f3ab51a489f606b57146366f183507ea | 14,346 | py | Python | virtualscreening/vina/spark/buried_areas.py | rodrigofaccioli/drugdesign | de15880af361a010729b1f4fbc8a75a2b36688a6 | [
"Apache-2.0"
] | 3 | 2015-01-19T20:12:59.000Z | 2019-02-21T18:43:04.000Z | virtualscreening/vina/spark/buried_areas.py | rodrigofaccioli/drugdesign | de15880af361a010729b1f4fbc8a75a2b36688a6 | [
"Apache-2.0"
] | 22 | 2015-01-05T16:48:54.000Z | 2017-01-21T16:36:10.000Z | virtualscreening/vina/spark/buried_areas.py | rodrigofaccioli/drugdesign | de15880af361a010729b1f4fbc8a75a2b36688a6 | [
"Apache-2.0"
] | 11 | 2015-03-03T13:32:24.000Z | 2020-04-03T11:22:24.000Z | from pyspark import SparkContext, SparkConf, SparkFiles
from pyspark.sql import SQLContext, Row
import ConfigParser as configparser
from subprocess import Popen, PIPE
from datetime import datetime
from vina_utils import get_directory_complex_pdb_analysis, get_files_pdb, get_name_model_pdb, get_ligand_from_receptor_liga... | 43.87156 | 253 | 0.748292 | 2,164 | 14,346 | 4.58549 | 0.123845 | 0.061473 | 0.020155 | 0.023985 | 0.424972 | 0.3636 | 0.293964 | 0.249723 | 0.217878 | 0.201552 | 0 | 0.005366 | 0.116688 | 14,346 | 326 | 254 | 44.006135 | 0.777699 | 0.20856 | 0 | 0.149533 | 0 | 0 | 0.106228 | 0.037034 | 0.009346 | 0 | 0 | 0 | 0 | 1 | 0.051402 | false | 0 | 0.051402 | 0 | 0.126168 | 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 |
8a85a524c6381c0f4e277dd284d072a8b41daaac | 3,427 | py | Python | queue/animal_queue.py | cozek/code-practice | bf3098dbeb502cab2e22ce7ea73c2aa05a3caf80 | [
"MIT"
] | null | null | null | queue/animal_queue.py | cozek/code-practice | bf3098dbeb502cab2e22ce7ea73c2aa05a3caf80 | [
"MIT"
] | null | null | null | queue/animal_queue.py | cozek/code-practice | bf3098dbeb502cab2e22ce7ea73c2aa05a3caf80 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from typing import Any, Union
class Animal:
def __init__(self, name: str) -> None:
self.name = name
def set_order(self, order: int) -> None:
self.order = order
def peek_order(self) -> int:
return self.order
def __str__(self) -> str:
return f"{... | 24.133803 | 79 | 0.541873 | 424 | 3,427 | 4.216981 | 0.188679 | 0.044743 | 0.036913 | 0.028523 | 0.139821 | 0.060403 | 0.04698 | 0.04698 | 0.04698 | 0.04698 | 0 | 0.003915 | 0.329151 | 3,427 | 141 | 80 | 24.304965 | 0.773815 | 0.012547 | 0 | 0.214953 | 0 | 0 | 0.046718 | 0.006801 | 0 | 0 | 0 | 0 | 0 | 1 | 0.186916 | false | 0 | 0.009346 | 0.046729 | 0.383178 | 0.037383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a8756b0429224a6d5fdf07d18eb3a9eed2f7a05 | 2,373 | py | Python | auth_iam/dashboard/auth/routes.py | santiher/dash-auth-example | 9854bfe953f86a0c7ed97660da30b7b7d1d3069f | [
"MIT"
] | 11 | 2020-03-05T18:50:07.000Z | 2022-02-16T19:45:35.000Z | auth_iam/dashboard/auth/routes.py | santiher/dash-auth-example | 9854bfe953f86a0c7ed97660da30b7b7d1d3069f | [
"MIT"
] | null | null | null | auth_iam/dashboard/auth/routes.py | santiher/dash-auth-example | 9854bfe953f86a0c7ed97660da30b7b7d1d3069f | [
"MIT"
] | null | null | null | import os
from functools import wraps
from os.path import join as join_path
from dash import Dash
from flask import make_response, render_template_string, redirect
excluded_resources_endpoints = (
'static', '_dash_assets.static', '/_favicon.ico', '/login', '/logout',
'/_user', '/auth')
def add_routes(app,... | 29.296296 | 77 | 0.634218 | 268 | 2,373 | 5.447761 | 0.391791 | 0.012329 | 0.053425 | 0.026712 | 0.038356 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001702 | 0.257059 | 2,373 | 80 | 78 | 29.6625 | 0.826432 | 0.268858 | 0 | 0.119048 | 0 | 0 | 0.072605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.119048 | 0 | 0.47619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a8988f59a7e29aadd9cfcc08e9db137ae34f210 | 3,677 | py | Python | 2021/day15/aoc-2021-d15.py | bbornstein/aoc | 624dacfe591a46aa34e3071b894076cf60091e7d | [
"MIT"
] | null | null | null | 2021/day15/aoc-2021-d15.py | bbornstein/aoc | 624dacfe591a46aa34e3071b894076cf60091e7d | [
"MIT"
] | null | null | null | 2021/day15/aoc-2021-d15.py | bbornstein/aoc | 624dacfe591a46aa34e3071b894076cf60091e7d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Advent of Code 2021, Day 15 (https://adventofcode.com/2021/day/15)
# Author: Ben Bornstein
import collections
import heapq
Point = collections.namedtuple('Point', ['x', 'y'])
Point.__add__ = lambda self, q: Point(self[0] + q[0], self[1] + q[1])
class RiskMap:
def __init__ (se... | 25.184932 | 78 | 0.56731 | 499 | 3,677 | 4.116232 | 0.312625 | 0.030672 | 0.014606 | 0.02629 | 0.166504 | 0.148978 | 0.122687 | 0.090555 | 0.063291 | 0.063291 | 0 | 0.024504 | 0.300789 | 3,677 | 145 | 79 | 25.358621 | 0.774407 | 0.283927 | 0 | 0.088235 | 0 | 0 | 0.047354 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.029412 | 0 | 0.279412 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a8a2f0c0a2dfbb11e77c498d88fd4e6f73817b2 | 2,168 | py | Python | src/cosmosdb-preview/azext_cosmosdb_preview/vendored_sdks/azure_mgmt_cosmosdb/models/database_account_list_keys_result_py3.py | limingu/azure-cli-extensions | 1bc29f089f4da42ab8905e440f2f46d6b5b0aa97 | [
"MIT"
] | 2 | 2021-06-05T17:51:26.000Z | 2021-11-17T11:17:56.000Z | src/cosmosdb-preview/azext_cosmosdb_preview/vendored_sdks/azure_mgmt_cosmosdb/models/database_account_list_keys_result_py3.py | limingu/azure-cli-extensions | 1bc29f089f4da42ab8905e440f2f46d6b5b0aa97 | [
"MIT"
] | 1 | 2020-06-12T01:39:40.000Z | 2020-06-12T01:39:40.000Z | src/cosmosdb-preview/azext_cosmosdb_preview/vendored_sdks/azure_mgmt_cosmosdb/models/database_account_list_keys_result_py3.py | anpaz-msft/azure-cli-extensions | 847fd487fe61e83f2a4163a9393edc9555267bc2 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 40.90566 | 98 | 0.66928 | 239 | 2,168 | 5.811715 | 0.389121 | 0.116631 | 0.097912 | 0.069114 | 0.267099 | 0.138229 | 0.138229 | 0.138229 | 0.138229 | 0.12671 | 0 | 0.00559 | 0.174816 | 2,168 | 52 | 99 | 41.692308 | 0.770822 | 0.502306 | 0 | 0 | 0 | 0 | 0.342971 | 0.161515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a8aa73cf4c767bf7b906925d1382b404b94f301 | 1,834 | py | Python | Google/google_books/scrape_google_books.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_books/scrape_google_books.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_books/scrape_google_books.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | from parsel import Selector
import requests, json, re
params = {
"q": "richard branson",
"tbm": "bks",
"gl": "us",
"hl": "en"
}
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.87 Safari/537.36",
}
html = requests.get("ht... | 39.869565 | 135 | 0.657579 | 254 | 1,834 | 4.606299 | 0.437008 | 0.08547 | 0.1 | 0.05812 | 0.170085 | 0.145299 | 0.107692 | 0.063248 | 0.063248 | 0 | 0 | 0.030225 | 0.152127 | 1,834 | 45 | 136 | 40.755556 | 0.722187 | 0.016903 | 0 | 0 | 0 | 0.054054 | 0.367018 | 0.069406 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054054 | 0 | 0.054054 | 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 |
8a8c544c5af946feba8528e8627d4c6fff3edf22 | 3,495 | py | Python | werobot/utils.py | lilac/WeRobot | 29fd70631b736a0c339f16f7729ea89f986c8bae | [
"MIT"
] | 2 | 2018-06-03T16:32:07.000Z | 2018-06-03T16:32:10.000Z | werobot/utils.py | Milleree/WeRoBot | f9777f792d55ae70e7262f13e6e3f3667a167036 | [
"MIT"
] | 9 | 2020-06-05T19:51:33.000Z | 2022-03-11T23:40:25.000Z | werobot/utils.py | Milleree/WeRoBot | f9777f792d55ae70e7262f13e6e3f3667a167036 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import io
import json
import os
import random
import re
import string
import time
from functools import wraps
from hashlib import sha1
import six
try:
from secrets import choice
except ImportError:
from random import choice
str... | 22.403846 | 73 | 0.645207 | 480 | 3,495 | 4.539583 | 0.2875 | 0.041303 | 0.020193 | 0.036714 | 0.117485 | 0.089032 | 0.089032 | 0.089032 | 0 | 0 | 0 | 0.009235 | 0.225465 | 3,495 | 155 | 74 | 22.548387 | 0.795715 | 0.050072 | 0 | 0.058824 | 0 | 0 | 0.04418 | 0 | 0 | 0 | 0 | 0 | 0.019608 | 1 | 0.147059 | false | 0 | 0.137255 | 0.039216 | 0.490196 | 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 |
8a8ce25aff69e17f6f7281d206c301403a98d23f | 3,208 | py | Python | src/tango_scaling_test/TestDeviceServer/__main__.py | rtobar/sdp-prototype | 9f1527b884bf80daa509a7fe3722160c77260f4f | [
"BSD-3-Clause"
] | null | null | null | src/tango_scaling_test/TestDeviceServer/__main__.py | rtobar/sdp-prototype | 9f1527b884bf80daa509a7fe3722160c77260f4f | [
"BSD-3-Clause"
] | null | null | null | src/tango_scaling_test/TestDeviceServer/__main__.py | rtobar/sdp-prototype | 9f1527b884bf80daa509a7fe3722160c77260f4f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Test Tango device server for use with scaling tests."""
import sys
import time
import argparse
import tango
from tango.server import run
from TestDevice import TestDevice
def init_callback():
"""Report server start up times.
This callback is executed post ... | 29.981308 | 77 | 0.65586 | 395 | 3,208 | 5.149367 | 0.303797 | 0.054081 | 0.029499 | 0.047198 | 0.211406 | 0.132743 | 0.075713 | 0.048181 | 0.048181 | 0 | 0 | 0.008956 | 0.199501 | 3,208 | 106 | 78 | 30.264151 | 0.7831 | 0.129676 | 0 | 0.220588 | 0 | 0 | 0.176064 | 0.008367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073529 | false | 0 | 0.088235 | 0 | 0.161765 | 0.102941 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a8d44634b296be16e3e3fe11b62e194bcce203d | 14,955 | py | Python | test/test_pipeline.py | ParikhKadam/haystack | 8a57f6b16af0bdd41dc02bf1200e0adbdf1da39b | [
"Apache-2.0"
] | 1 | 2021-08-04T09:06:43.000Z | 2021-08-04T09:06:43.000Z | test/test_pipeline.py | jacksbox/haystack | 65f1da00cc4b6757752dafb8bf756531fad46dd0 | [
"Apache-2.0"
] | null | null | null | test/test_pipeline.py | jacksbox/haystack | 65f1da00cc4b6757752dafb8bf756531fad46dd0 | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
import pytest
from haystack.document_store.elasticsearch import ElasticsearchDocumentStore
from haystack.pipeline import TranslationWrapperPipeline, JoinDocuments, ExtractiveQAPipeline, Pipeline, FAQPipeline, \
DocumentSearchPipeline, RootNode
from haystack.retriever.dense import DensePas... | 42.126761 | 119 | 0.664527 | 1,844 | 14,955 | 5.232104 | 0.106833 | 0.0341 | 0.052861 | 0.066957 | 0.784411 | 0.689677 | 0.661795 | 0.633603 | 0.598673 | 0.598673 | 0 | 0.011612 | 0.170779 | 14,955 | 354 | 120 | 42.245763 | 0.76639 | 0.014443 | 0 | 0.578014 | 0 | 0 | 0.187873 | 0.022814 | 0 | 0 | 0 | 0 | 0.141844 | 1 | 0.088652 | false | 0.010638 | 0.021277 | 0 | 0.219858 | 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 |
8a8db025d17d202dce4f03767b8394c4ff63db8d | 14,254 | py | Python | src/telr/TELR_assembly.py | dominik-handler/TELR | 3e34e54fc959c13fa45dc911facf0d5179fbb34b | [
"BSD-2-Clause"
] | 22 | 2020-09-22T21:21:17.000Z | 2022-01-21T17:52:12.000Z | src/telr/TELR_assembly.py | dominik-handler/TELR | 3e34e54fc959c13fa45dc911facf0d5179fbb34b | [
"BSD-2-Clause"
] | 6 | 2021-05-07T13:52:30.000Z | 2022-03-27T18:21:10.000Z | src/telr/TELR_assembly.py | dominik-handler/TELR | 3e34e54fc959c13fa45dc911facf0d5179fbb34b | [
"BSD-2-Clause"
] | 6 | 2020-10-01T12:47:19.000Z | 2021-08-13T14:38:11.000Z | import sys
import os
import subprocess
import shutil
import time
import logging
from Bio import SeqIO
from multiprocessing import Pool
import pysam
from telr.TELR_utility import mkdir, check_exist, format_time
def get_local_contigs(
assembler,
polisher,
contig_dir,
vcf_parsed,
out,
sample_name... | 30.32766 | 88 | 0.525116 | 1,601 | 14,254 | 4.480325 | 0.15178 | 0.020075 | 0.023561 | 0.022306 | 0.352293 | 0.300293 | 0.269483 | 0.249268 | 0.212463 | 0.185418 | 0 | 0.009323 | 0.367897 | 14,254 | 469 | 89 | 30.392324 | 0.786792 | 0.059913 | 0 | 0.428934 | 0 | 0 | 0.084258 | 0 | 0 | 0 | 0 | 0.002132 | 0 | 1 | 0.020305 | false | 0.007614 | 0.025381 | 0 | 0.093909 | 0.045685 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a900957322aa8d59dab3c2935590611098dad34 | 28,015 | py | Python | pygmt/tests/test_clib.py | aliciaha1997/pygmt | a10af5d8deb3bf3090eab4b6492bcf8cf722cb71 | [
"BSD-3-Clause"
] | null | null | null | pygmt/tests/test_clib.py | aliciaha1997/pygmt | a10af5d8deb3bf3090eab4b6492bcf8cf722cb71 | [
"BSD-3-Clause"
] | null | null | null | pygmt/tests/test_clib.py | aliciaha1997/pygmt | a10af5d8deb3bf3090eab4b6492bcf8cf722cb71 | [
"BSD-3-Clause"
] | 1 | 2021-11-03T07:47:18.000Z | 2021-11-03T07:47:18.000Z | # pylint: disable=protected-access
"""
Test the wrappers for the C API.
"""
import os
from contextlib import contextmanager
import numpy as np
import numpy.testing as npt
import pandas as pd
import pytest
import xarray as xr
from packaging.version import Version
from pygmt import Figure, clib
from pygmt.clib.conversio... | 34.332108 | 85 | 0.60464 | 3,696 | 28,015 | 4.443182 | 0.126623 | 0.032152 | 0.030142 | 0.034161 | 0.563451 | 0.510961 | 0.46523 | 0.440324 | 0.419072 | 0.37876 | 0 | 0.021568 | 0.271783 | 28,015 | 815 | 86 | 34.374233 | 0.783393 | 0.179083 | 0 | 0.470019 | 0 | 0 | 0.111762 | 0.020874 | 0 | 0 | 0 | 0 | 0.088975 | 1 | 0.088975 | false | 0.001934 | 0.025145 | 0 | 0.123791 | 0.007737 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a9169fbe2dd0a7e667174a77f2109a3f57e8580 | 1,808 | py | Python | Prime Factorization/prime_factorization_II.py | rayvantsahni/Let-us-Math | 571ee70452feae0b15f37d46de658b0c0251bd3d | [
"MIT"
] | 2 | 2020-08-06T07:09:38.000Z | 2020-09-12T02:32:23.000Z | Prime Factorization/prime_factorization_II.py | rayvantsahni/Math-is-Fun | 571ee70452feae0b15f37d46de658b0c0251bd3d | [
"MIT"
] | null | null | null | Prime Factorization/prime_factorization_II.py | rayvantsahni/Math-is-Fun | 571ee70452feae0b15f37d46de658b0c0251bd3d | [
"MIT"
] | 1 | 2021-08-30T14:17:28.000Z | 2021-08-30T14:17:28.000Z | def get_primes(n):
primes = [] # stores the prime numbers within the reange of the number
sieve = [False] * (n + 1) # stores boolean values indicating whether a number is prime or not
sieve[0] = sieve[1] = True # marking 0 and 1 as not prime
for i in range(2, n + 1): # loops over all the numbers to... | 54.787879 | 198 | 0.672566 | 286 | 1,808 | 4.199301 | 0.318182 | 0.089925 | 0.045795 | 0.032473 | 0.121565 | 0.053289 | 0 | 0 | 0 | 0 | 0 | 0.009893 | 0.27323 | 1,808 | 32 | 199 | 56.5 | 0.90411 | 0.606195 | 0 | 0 | 0 | 0 | 0.034632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.166667 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a91ba22fcba12ba8237fcf117a449485cdd3de1 | 31,466 | py | Python | pandas/core/indexes/range.py | mujtahidalam/pandas | 526468c8fe6fc5157aaf2fce327c5ab2a3350f49 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2017-12-14T19:50:52.000Z | 2020-04-07T16:47:23.000Z | pandas/core/indexes/range.py | mujtahidalam/pandas | 526468c8fe6fc5157aaf2fce327c5ab2a3350f49 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-07-24T17:35:03.000Z | 2021-07-24T17:35:03.000Z | pandas/core/indexes/range.py | mujtahidalam/pandas | 526468c8fe6fc5157aaf2fce327c5ab2a3350f49 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2018-01-26T08:33:54.000Z | 2018-01-26T08:33:54.000Z | from __future__ import annotations
from datetime import timedelta
import operator
from sys import getsizeof
from typing import (
TYPE_CHECKING,
Any,
Callable,
Hashable,
List,
cast,
)
import warnings
import numpy as np
from pandas._libs import index as libindex
from pandas._libs.lib import no_... | 32.777083 | 88 | 0.556664 | 3,741 | 31,466 | 4.520984 | 0.144079 | 0.016496 | 0.008455 | 0.005321 | 0.203689 | 0.140306 | 0.119435 | 0.113404 | 0.090345 | 0.068941 | 0 | 0.012967 | 0.326003 | 31,466 | 959 | 89 | 32.811262 | 0.784515 | 0.205841 | 0 | 0.1875 | 0 | 0 | 0.029477 | 0 | 0 | 0 | 0 | 0.001043 | 0.003472 | 1 | 0.102431 | false | 0.001736 | 0.039931 | 0.020833 | 0.326389 | 0.001736 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a921ddf5fe02b1831b2b73b31bdcdcfebea2ba6 | 708 | py | Python | model.py | Hasanweight/pytorch-chatbot-master | 7a3b58af7e5284f1f3f7f7b0aeb3f19d9ee3cbc1 | [
"MIT"
] | null | null | null | model.py | Hasanweight/pytorch-chatbot-master | 7a3b58af7e5284f1f3f7f7b0aeb3f19d9ee3cbc1 | [
"MIT"
] | null | null | null | model.py | Hasanweight/pytorch-chatbot-master | 7a3b58af7e5284f1f3f7f7b0aeb3f19d9ee3cbc1 | [
"MIT"
] | 1 | 2020-11-17T07:04:35.000Z | 2020-11-17T07:04:35.000Z | import torch
import torch.nn as nn
class NeuralNet(nn.Module):
def __init__(self, input_size, hidden_size, num_classes):
super(NeuralNet, self).__init__()
self.l1 = nn.Linear(input_size, hidden_size)
self.l2 = nn.Linear(hidden_size, hidden_size)
self.l3 = nn.Linear(hidden_size, h... | 30.782609 | 61 | 0.59887 | 102 | 708 | 3.970588 | 0.323529 | 0.17284 | 0.123457 | 0.133333 | 0.328395 | 0.328395 | 0.276543 | 0 | 0 | 0 | 0 | 0.015905 | 0.289548 | 708 | 23 | 62 | 30.782609 | 0.789264 | 0.055085 | 0 | 0.157895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.105263 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a9277485abaa1ad23562bb5f41c412cb9cb7cd7 | 6,927 | py | Python | jwql/utils/logging_functions.py | hover2pi/jwql | 0a97fe618c007883ffbced88ac1cb45a667fcb3c | [
"BSD-3-Clause"
] | null | null | null | jwql/utils/logging_functions.py | hover2pi/jwql | 0a97fe618c007883ffbced88ac1cb45a667fcb3c | [
"BSD-3-Clause"
] | null | null | null | jwql/utils/logging_functions.py | hover2pi/jwql | 0a97fe618c007883ffbced88ac1cb45a667fcb3c | [
"BSD-3-Clause"
] | null | null | null |
""" Logging functions for the ``jwql`` automation platform.
This module provides decorators to log the execution of modules. Log
files are written to the ``logs/`` directory in the ``jwql`` central
storage area, named by module name and timestamp, e.g.
``monitor_filesystem/monitor_filesystem_2018-06-20-15:22:51.log`... | 28.044534 | 111 | 0.627111 | 877 | 6,927 | 4.801596 | 0.270239 | 0.036571 | 0.011874 | 0.011399 | 0.260271 | 0.20209 | 0.180005 | 0.142009 | 0.142009 | 0.131085 | 0 | 0.013223 | 0.268515 | 6,927 | 246 | 112 | 28.158537 | 0.817841 | 0.420384 | 0 | 0.177778 | 0 | 0 | 0.083025 | 0.011105 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0.022222 | 0.166667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a92d260f5ba3c3243955569573ecad3cecaf8e9 | 2,079 | py | Python | bcloud-snap/bcloud-3.9.1/bcloud/hasher.py | jiaxiaolei/my_snap_demo | 0444077c763e029eb67af7242537cebb3c3d6aa4 | [
"Apache-2.0"
] | null | null | null | bcloud-snap/bcloud-3.9.1/bcloud/hasher.py | jiaxiaolei/my_snap_demo | 0444077c763e029eb67af7242537cebb3c3d6aa4 | [
"Apache-2.0"
] | 4 | 2019-11-20T02:45:19.000Z | 2019-12-03T03:14:15.000Z | bcloud-snap/bcloud-3.9.1/bcloud/hasher.py | jiaxiaolei/my_snap_demo | 0444077c763e029eb67af7242537cebb3c3d6aa4 | [
"Apache-2.0"
] | null | null | null |
# Copyright (C) 2014-2015 LiuLang <gsushzhsosgsu@gmail.com>
# Use of this source code is governed by GPLv3 license that can be found
# in http://www.gnu.org/licenses/gpl-3.0.html
import hashlib
import os
import zlib
CHUNK = 2 ** 20
def crc(path):
_crc = 0
fh = open(path, 'rb')
while True:
chunk... | 21.65625 | 72 | 0.556037 | 268 | 2,079 | 4.231343 | 0.272388 | 0.080247 | 0.061728 | 0.074074 | 0.402116 | 0.275132 | 0.275132 | 0.275132 | 0.275132 | 0.275132 | 0 | 0.065341 | 0.322751 | 2,079 | 95 | 73 | 21.884211 | 0.740057 | 0.082732 | 0 | 0.493827 | 0 | 0 | 0.008412 | 0 | 0 | 0 | 0.005258 | 0 | 0 | 1 | 0.08642 | false | 0 | 0.037037 | 0 | 0.209877 | 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 |
8a963372962a426bfe2a29c3f4ef8694684f359b | 1,448 | py | Python | Simulator/Geometry/RectOverlap.py | cuixiongyi/RBE595 | fc5c6aa6c479eb14186a9168e47724b7b3d06cde | [
"MIT"
] | null | null | null | Simulator/Geometry/RectOverlap.py | cuixiongyi/RBE595 | fc5c6aa6c479eb14186a9168e47724b7b3d06cde | [
"MIT"
] | null | null | null | Simulator/Geometry/RectOverlap.py | cuixiongyi/RBE595 | fc5c6aa6c479eb14186a9168e47724b7b3d06cde | [
"MIT"
] | null | null | null | import matplotlib.pyplot
__author__ = 'xiongyi'
line1 = [(200, 100), (200, 400)]
line2 = [(190, 190), (210, 210)]
def overlap():
l1p1x = line1[0][0]
l1p1y = line1[0][1]
l1p2x = line1[1][0]
l1p2y = line1[1][1]
# make sure p1x < p2x
if l1p1x > l1p2x:
tmp = l1p1x
l1p1x = l1p2x
... | 26.814815 | 79 | 0.566989 | 201 | 1,448 | 4.024876 | 0.233831 | 0.098888 | 0.044499 | 0.024722 | 0.318912 | 0.318912 | 0.271941 | 0.227441 | 0.227441 | 0.227441 | 0 | 0.197015 | 0.305939 | 1,448 | 53 | 80 | 27.320755 | 0.60796 | 0.105663 | 0 | 0.113636 | 0 | 0 | 0.011646 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.022727 | 0 | 0.159091 | 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 |
8a96a020d6c369841c24ae3ddad9a09c8b54550c | 4,434 | py | Python | gino/loader.py | p4l1ly/gino | bbe63ed841bf989a0f47b6cae64db85b0b606794 | [
"BSD-3-Clause"
] | null | null | null | gino/loader.py | p4l1ly/gino | bbe63ed841bf989a0f47b6cae64db85b0b606794 | [
"BSD-3-Clause"
] | null | null | null | gino/loader.py | p4l1ly/gino | bbe63ed841bf989a0f47b6cae64db85b0b606794 | [
"BSD-3-Clause"
] | null | null | null | from sqlalchemy import select
from sqlalchemy.schema import Column
from .declarative import Model
class Loader:
@classmethod
def get(cls, value):
from .crud import Alias
if isinstance(value, Loader):
rv = value
elif isinstance(value, type) and issubclass(value, Model):
... | 28.063291 | 79 | 0.570591 | 525 | 4,434 | 4.655238 | 0.152381 | 0.027005 | 0.025777 | 0.037234 | 0.195581 | 0.176759 | 0.13257 | 0.085106 | 0.058101 | 0.058101 | 0 | 0.000339 | 0.334687 | 4,434 | 157 | 80 | 28.242038 | 0.828136 | 0 | 0 | 0.225806 | 0 | 0 | 0.00203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.185484 | false | 0 | 0.032258 | 0.056452 | 0.403226 | 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 |
8a9862396c2189c4e0deacb6232ab6ab3fc808e2 | 5,999 | py | Python | lib/ioe_pot.py | ifurusato/ros | 77b1361e78f68f00ba2d3e3db908bb5ce0f973f5 | [
"MIT"
] | 9 | 2020-10-12T08:49:55.000Z | 2021-07-23T14:20:05.000Z | lib/ioe_pot.py | fanmuzhi/ros | 04534a35901341c4aaa9084bff3d46851795357d | [
"MIT"
] | 12 | 2020-07-22T19:08:58.000Z | 2022-02-03T03:17:03.000Z | lib/ioe_pot.py | fanmuzhi/ros | 04534a35901341c4aaa9084bff3d46851795357d | [
"MIT"
] | 3 | 2020-07-19T20:43:19.000Z | 2022-03-02T09:15:51.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2020-2021 by Murray Altheim. All rights reserved. This file is part
# of the Robot Operating System project, released under the MIT License. Please
# see the LICENSE file included as part of this package.
#
# author: Murray Altheim
# created: 2020-09-19
# ... | 44.437037 | 138 | 0.543091 | 787 | 5,999 | 3.818297 | 0.233799 | 0.028286 | 0.02995 | 0.030283 | 0.300166 | 0.209983 | 0.183028 | 0.175042 | 0.160399 | 0.160399 | 0 | 0.020466 | 0.234372 | 5,999 | 134 | 139 | 44.768657 | 0.633791 | 0.399067 | 0 | 0 | 0 | 0 | 0.08856 | 0.014518 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102941 | false | 0 | 0.058824 | 0 | 0.220588 | 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 |
8a9978555063ed5f44aba19723290d6745163dd2 | 2,806 | py | Python | TransactionBook/gui_kivy/generic/MultiSelectPopUp.py | LukHad/AccountBook | 8da3ebbd2a824efb9d50f7695ceaaa6cf2370cd8 | [
"MIT"
] | null | null | null | TransactionBook/gui_kivy/generic/MultiSelectPopUp.py | LukHad/AccountBook | 8da3ebbd2a824efb9d50f7695ceaaa6cf2370cd8 | [
"MIT"
] | null | null | null | TransactionBook/gui_kivy/generic/MultiSelectPopUp.py | LukHad/AccountBook | 8da3ebbd2a824efb9d50f7695ceaaa6cf2370cd8 | [
"MIT"
] | null | null | null | from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.garden.matplotlib.backend_kivyagg import FigureCanvasKivyAgg
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
import ma... | 35.075 | 125 | 0.679259 | 349 | 2,806 | 5.252149 | 0.297994 | 0.052373 | 0.048009 | 0.024004 | 0.044735 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003688 | 0.227014 | 2,806 | 80 | 126 | 35.075 | 0.841402 | 0 | 0 | 0.086957 | 0 | 0 | 0.028144 | 0.00855 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0.246377 | 0 | 0.362319 | 0.014493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a9ada50ee04b4224d0c5731fe46fe28317d335c | 19,192 | py | Python | lib/tuner_interface.py | jefflundberg/locast2plex | 3ab747a13c47888507c08f17d0afacad09894019 | [
"MIT"
] | null | null | null | lib/tuner_interface.py | jefflundberg/locast2plex | 3ab747a13c47888507c08f17d0afacad09894019 | [
"MIT"
] | null | null | null | lib/tuner_interface.py | jefflundberg/locast2plex | 3ab747a13c47888507c08f17d0afacad09894019 | [
"MIT"
] | null | null | null | import subprocess
import threading
import time
import errno
import socket
import urllib
import pathlib
from io import StringIO
from http.server import BaseHTTPRequestHandler, HTTPServer
import lib.stations as stations
import lib.epg2xml as epg2xml
import lib.channels_m3u as channels_m3u
from lib.templates import templ... | 43.12809 | 169 | 0.546321 | 1,868 | 19,192 | 5.445931 | 0.190578 | 0.052099 | 0.060552 | 0.026737 | 0.572594 | 0.518333 | 0.493758 | 0.446378 | 0.433599 | 0.412956 | 0 | 0.010612 | 0.33712 | 19,192 | 444 | 170 | 43.225225 | 0.789027 | 0.056534 | 0 | 0.474026 | 0 | 0 | 0.135914 | 0.022671 | 0 | 0 | 0 | 0.002252 | 0 | 1 | 0.025974 | false | 0 | 0.042208 | 0 | 0.097403 | 0.016234 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a9cd2106529aad0ea2a1405ec139e1af2cab3e4 | 1,130 | py | Python | {{ cookiecutter.project_name }}/{{ cookiecutter.project_name }}/local/pages/views.py | dcs3spp/cookiecutter-django-api | d575dda07930743c05a27eb968489867831d97de | [
"Apache-1.1"
] | null | null | null | {{ cookiecutter.project_name }}/{{ cookiecutter.project_name }}/local/pages/views.py | dcs3spp/cookiecutter-django-api | d575dda07930743c05a27eb968489867831d97de | [
"Apache-1.1"
] | null | null | null | {{ cookiecutter.project_name }}/{{ cookiecutter.project_name }}/local/pages/views.py | dcs3spp/cookiecutter-django-api | d575dda07930743c05a27eb968489867831d97de | [
"Apache-1.1"
] | null | null | null | from django import template
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from django.template import loader
@login_required(login_url="/login/")
def index(request):
context = {}
context["segment"] = "index"
html_template = loader.get_template("index.html"... | 35.3125 | 71 | 0.718584 | 137 | 1,130 | 5.781022 | 0.343066 | 0.121212 | 0.090909 | 0.106061 | 0.512626 | 0.439394 | 0.282828 | 0.282828 | 0 | 0 | 0 | 0.010741 | 0.176106 | 1,130 | 31 | 72 | 36.451613 | 0.839957 | 0.09646 | 0 | 0.333333 | 0 | 0 | 0.06883 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a9d8f1b16e1dbb065ddd8280ce1c889563a6417 | 4,831 | py | Python | JupyterHTMLSlides/core.py | williamegomezo/JupyterSlides | 403fe15e360eb1d79bf813b923eb569a81ab0934 | [
"MIT"
] | 1 | 2019-07-26T20:59:47.000Z | 2019-07-26T20:59:47.000Z | JupyterHTMLSlides/core.py | williamegomezo/JupyterSlides | 403fe15e360eb1d79bf813b923eb569a81ab0934 | [
"MIT"
] | null | null | null | JupyterHTMLSlides/core.py | williamegomezo/JupyterSlides | 403fe15e360eb1d79bf813b923eb569a81ab0934 | [
"MIT"
] | null | null | null | import random
import string
import os
from IPython.display import display, HTML
from .utils import html_loader
from .utils import get_content
from jinja2 import Template
class JupyterSlides:
def __init__(
self,
content_path='./content.yaml',
table_contents=False
):
self.set_ba... | 33.783217 | 100 | 0.580211 | 556 | 4,831 | 4.818345 | 0.169065 | 0.12318 | 0.041807 | 0.049645 | 0.263531 | 0.222844 | 0.114595 | 0.106756 | 0.095558 | 0.095558 | 0 | 0.001182 | 0.299524 | 4,831 | 142 | 101 | 34.021127 | 0.790485 | 0.00828 | 0 | 0.165289 | 0 | 0 | 0.1551 | 0.094064 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082645 | false | 0 | 0.057851 | 0 | 0.173554 | 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 |
8a9e11dd86387cdd76e5db9dfd7ce9770e952aef | 30,203 | py | Python | tests/test_wallet.py | NickeZ/lightning | f376a9c24cc71d139393196dea86b5a39aee7db8 | [
"MIT"
] | 1 | 2020-05-07T22:28:20.000Z | 2020-05-07T22:28:20.000Z | tests/test_wallet.py | satoshinakamoto007/lightning | ff968e773074061d6f76cb81c6c61a1047ffaef1 | [
"MIT"
] | 1 | 2020-05-03T00:56:31.000Z | 2020-05-03T00:56:31.000Z | tests/test_wallet.py | satoshinakamoto007/lightning | ff968e773074061d6f76cb81c6c61a1047ffaef1 | [
"MIT"
] | null | null | null | from decimal import Decimal
from fixtures import * # noqa: F401,F403
from fixtures import TEST_NETWORK
from flaky import flaky # noqa: F401
from pyln.client import RpcError, Millisatoshi
from utils import (
only_one, wait_for, sync_blockheight, EXPERIMENTAL_FEATURES, COMPAT,
VALGRIND
)
import os
import pytes... | 40.704852 | 130 | 0.65957 | 4,049 | 30,203 | 4.854532 | 0.129662 | 0.028744 | 0.026048 | 0.035409 | 0.61045 | 0.553368 | 0.523555 | 0.474664 | 0.439866 | 0.394129 | 0 | 0.043469 | 0.196437 | 30,203 | 741 | 131 | 40.759784 | 0.766419 | 0.171241 | 0 | 0.474359 | 0 | 0 | 0.194274 | 0.02964 | 0 | 0 | 0 | 0 | 0.196581 | 1 | 0.029915 | false | 0.021368 | 0.023504 | 0 | 0.055556 | 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 |
8a9ed02f0755897cb2a1b2ac5fabcbb264f6bbee | 18,025 | py | Python | microbepy/plot/mutation_plot.py | ScienceStacks/MicrobEPy | 704435e66c58677bab24f27820458870092924e2 | [
"MIT"
] | 1 | 2019-05-04T00:31:05.000Z | 2019-05-04T00:31:05.000Z | microbepy/plot/mutation_plot.py | ScienceStacks/MicrobEPy | 704435e66c58677bab24f27820458870092924e2 | [
"MIT"
] | null | null | null | microbepy/plot/mutation_plot.py | ScienceStacks/MicrobEPy | 704435e66c58677bab24f27820458870092924e2 | [
"MIT"
] | null | null | null | """Provides plots of mutations for Isolates and Lines."""
from microbepy.common import constants as cn
from microbepy.common.dataframe_sorter import DataframeSorter
from microbepy.common.isolate import Isolate
from microbepy.common import util
from microbepy.correlation import genome_correlation
from microbepy.data.m... | 35.62253 | 78 | 0.676782 | 2,384 | 18,025 | 4.918624 | 0.134648 | 0.017056 | 0.023879 | 0.02439 | 0.409006 | 0.32381 | 0.262664 | 0.218489 | 0.14907 | 0.140884 | 0 | 0.00837 | 0.231123 | 18,025 | 505 | 79 | 35.693069 | 0.837723 | 0.198391 | 0 | 0.349333 | 0 | 0 | 0.00663 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042667 | false | 0 | 0.034667 | 0.002667 | 0.114667 | 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 |
8a9ed7740bcb98fbae13ca6bc7e08c9cb1a32fd1 | 4,384 | py | Python | semantic-segmentation/deeplabv3plus/dataset_utils.py | shikisawamura/nnabla-examples | baf4e4cc620dedbf4368683325c0fb868676850d | [
"Apache-2.0"
] | 1 | 2020-08-03T12:49:25.000Z | 2020-08-03T12:49:25.000Z | semantic-segmentation/deeplabv3plus/dataset_utils.py | takuseno/nnabla-examples | 070d25078ad3d5458744dbfd390cdd926e20e573 | [
"Apache-2.0"
] | null | null | null | semantic-segmentation/deeplabv3plus/dataset_utils.py | takuseno/nnabla-examples | 070d25078ad3d5458744dbfd390cdd926e20e573 | [
"Apache-2.0"
] | 1 | 2020-04-25T06:11:28.000Z | 2020-04-25T06:11:28.000Z | # Copyright (c) 2017 Sony Corporation. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 38.79646 | 334 | 0.619297 | 641 | 4,384 | 4.109204 | 0.296412 | 0.055809 | 0.091116 | 0.082384 | 0.353455 | 0.31549 | 0.290812 | 0.290812 | 0.23918 | 0.23918 | 0 | 0.05344 | 0.227418 | 4,384 | 112 | 335 | 39.142857 | 0.72424 | 0.280338 | 0 | 0.16129 | 0 | 0 | 0.155239 | 0.033635 | 0 | 0 | 0 | 0 | 0.032258 | 1 | 0.064516 | false | 0 | 0.080645 | 0.016129 | 0.177419 | 0.016129 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a9edfbe7de3c135419c8254312b876a5177e47f | 10,044 | py | Python | train.py | shamilcm/fairseq-py | ceb2f1200c9e5b8bf42a1033e7638d3e8586609a | [
"BSD-3-Clause"
] | 1 | 2021-04-20T07:33:12.000Z | 2021-04-20T07:33:12.000Z | train.py | shamilcm/fairseq-py | ceb2f1200c9e5b8bf42a1033e7638d3e8586609a | [
"BSD-3-Clause"
] | null | null | null | train.py | shamilcm/fairseq-py | ceb2f1200c9e5b8bf42a1033e7638d3e8586609a | [
"BSD-3-Clause"
] | 3 | 2018-04-20T11:00:16.000Z | 2020-04-25T09:31:14.000Z | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
import collections
import os
imp... | 44.052632 | 129 | 0.616587 | 1,268 | 10,044 | 4.72082 | 0.219243 | 0.020047 | 0.01871 | 0.029402 | 0.244571 | 0.150017 | 0.118276 | 0.078851 | 0.055129 | 0.055129 | 0 | 0.010172 | 0.26593 | 10,044 | 227 | 130 | 44.246696 | 0.801709 | 0.107427 | 0 | 0.062893 | 0 | 0.012579 | 0.124958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025157 | false | 0 | 0.056604 | 0 | 0.09434 | 0.056604 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a9f03cac960929d8e8a292c8e92367e90e1a3eb | 7,311 | py | Python | storm_control/sc_library/log_timing.py | jeffmoffitt/storm-control | 522add1e196e0b7964f574481fd90c20a74b575e | [
"MIT"
] | null | null | null | storm_control/sc_library/log_timing.py | jeffmoffitt/storm-control | 522add1e196e0b7964f574481fd90c20a74b575e | [
"MIT"
] | null | null | null | storm_control/sc_library/log_timing.py | jeffmoffitt/storm-control | 522add1e196e0b7964f574481fd90c20a74b575e | [
"MIT"
] | 1 | 2020-11-10T06:39:18.000Z | 2020-11-10T06:39:18.000Z | #!/usr/bin/env python
"""
This parses a log file series (i.e. log, log.1, log.2, etc..) and
outputs timing and call frequency information for HAL messages.
Hazen 5/18
"""
from datetime import datetime
import os
pattern = '%Y-%m-%d %H:%M:%S,%f'
class Message(object):
"""
Storage for the timing of a single m... | 27.90458 | 93 | 0.548078 | 843 | 7,311 | 4.637011 | 0.221827 | 0.01407 | 0.015349 | 0.016628 | 0.303914 | 0.271681 | 0.257099 | 0.221796 | 0.174981 | 0.174981 | 0 | 0.007938 | 0.345233 | 7,311 | 261 | 94 | 28.011494 | 0.808648 | 0.169744 | 0 | 0.248276 | 0 | 0 | 0.058793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.02069 | 0.006897 | 0.275862 | 0.075862 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8a9f1f85d541893b6f50e7a4580e2b294f4022fb | 1,830 | py | Python | django_simple_jsonschema/management/commands/check_schema.py | 38elements/django-simple-jsonschema | ab08aaa3453c40a41d443869643113f23eb40db6 | [
"MIT"
] | 1 | 2017-04-27T20:15:46.000Z | 2017-04-27T20:15:46.000Z | django_simple_jsonschema/management/commands/check_schema.py | 38elements/django-simple-jsonschema | ab08aaa3453c40a41d443869643113f23eb40db6 | [
"MIT"
] | null | null | null | django_simple_jsonschema/management/commands/check_schema.py | 38elements/django-simple-jsonschema | ab08aaa3453c40a41d443869643113f23eb40db6 | [
"MIT"
] | 2 | 2016-02-20T10:53:09.000Z | 2018-07-12T14:47:01.000Z | from django.core.management.base import BaseCommand
from django.utils import termcolors
from jsonschema import Draft4Validator
from jsonschema.exceptions import SchemaError
import json
class Command(BaseCommand):
can_import_settings = True
@property
def _jsonschema_exist(self):
from django.conf ... | 35.192308 | 96 | 0.572678 | 196 | 1,830 | 5.25 | 0.382653 | 0.058309 | 0.087464 | 0.048591 | 0.062196 | 0.062196 | 0 | 0 | 0 | 0 | 0 | 0.002394 | 0.315301 | 1,830 | 51 | 97 | 35.882353 | 0.818835 | 0 | 0 | 0.088889 | 0 | 0 | 0.10929 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.177778 | 0 | 0.377778 | 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 |
8aa0f73f3e1949691f35856c47f4d0a99caef5b9 | 4,247 | py | Python | lib/interface.py | keke185321/combine-copy- | de2eba77d8db5c9c1908aac1262590b80c2348ce | [
"Apache-2.0"
] | null | null | null | lib/interface.py | keke185321/combine-copy- | de2eba77d8db5c9c1908aac1262590b80c2348ce | [
"Apache-2.0"
] | null | null | null | lib/interface.py | keke185321/combine-copy- | de2eba77d8db5c9c1908aac1262590b80c2348ce | [
"Apache-2.0"
] | null | null | null | import cv2, time
import numpy as np
import Tkinter
"""
Wraps up some interfaces to opencv user interface methods (displaying
image frames, event handling, etc).
If desired, an alternative UI could be built and imported into get_pulse.py
instead. Opencv is used to perform much of the data analysis, but there is no
re... | 31.932331 | 82 | 0.533318 | 622 | 4,247 | 3.61254 | 0.327974 | 0.040053 | 0.028482 | 0.025367 | 0.078327 | 0.032933 | 0.020472 | 0.020472 | 0 | 0 | 0 | 0.036128 | 0.309159 | 4,247 | 132 | 83 | 32.174242 | 0.729721 | 0.046621 | 0 | 0.072289 | 0 | 0 | 0.007341 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084337 | false | 0.012048 | 0.036145 | 0.048193 | 0.216867 | 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 |
8aa1a1e63a87d2e580e76379c3a2ac6b8f3e051d | 16,125 | py | Python | nltk/tag/brill.py | FGDBTKD/nltk | 384e46e82789c7f47a7fb521ef976f82c3c4c3fb | [
"Apache-2.0"
] | null | null | null | nltk/tag/brill.py | FGDBTKD/nltk | 384e46e82789c7f47a7fb521ef976f82c3c4c3fb | [
"Apache-2.0"
] | null | null | null | nltk/tag/brill.py | FGDBTKD/nltk | 384e46e82789c7f47a7fb521ef976f82c3c4c3fb | [
"Apache-2.0"
] | 1 | 2019-10-18T08:58:45.000Z | 2019-10-18T08:58:45.000Z | # -*- coding: utf-8 -*-
# Natural Language Toolkit: Transformation-based learning
#
# Copyright (C) 2001-2018 NLTK Project
# Author: Marcus Uneson <marcus.uneson@gmail.com>
# based on previous (nltk2) version by
# Christopher Maloof, Edward Loper, Steven Bird
# URL: <http://nltk.org/>
# For license information, see... | 37.941176 | 107 | 0.57631 | 1,908 | 16,125 | 4.780398 | 0.207547 | 0.043416 | 0.035522 | 0.02423 | 0.329679 | 0.276614 | 0.255126 | 0.242079 | 0.198224 | 0.182655 | 0 | 0.022901 | 0.276961 | 16,125 | 424 | 108 | 38.03066 | 0.759413 | 0.284155 | 0 | 0.37247 | 0 | 0.008097 | 0.094085 | 0.002066 | 0 | 0 | 0 | 0 | 0.004049 | 1 | 0.080972 | false | 0 | 0.02834 | 0.012146 | 0.194332 | 0.093117 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8aa1f2759e7626cdb380e9f05aa634b55bf1bbc2 | 7,812 | py | Python | superglue_parsers/wsc.py | agentsolaris/xlnn | 0ab07d1ac526cadc2964379aef0a44927e0618eb | [
"Apache-2.0"
] | null | null | null | superglue_parsers/wsc.py | agentsolaris/xlnn | 0ab07d1ac526cadc2964379aef0a44927e0618eb | [
"Apache-2.0"
] | null | null | null | superglue_parsers/wsc.py | agentsolaris/xlnn | 0ab07d1ac526cadc2964379aef0a44927e0618eb | [
"Apache-2.0"
] | null | null | null | import json
import logging
import sys
import numpy as np
import torch
from task_config import SuperGLUE_LABEL_MAPPING
from snorkel.mtl.data import MultitaskDataset
sys.path.append("..") # Adds higher directory to python modules path.
logger = logging.getLogger(__name__)
TASK_NAME = "WSC"
def get_char_index(tex... | 33.101695 | 88 | 0.592422 | 996 | 7,812 | 4.344378 | 0.13755 | 0.068639 | 0.041599 | 0.031199 | 0.510515 | 0.458516 | 0.403282 | 0.403282 | 0.393113 | 0.373007 | 0 | 0.031467 | 0.300307 | 7,812 | 235 | 89 | 33.242553 | 0.760154 | 0.059268 | 0 | 0.24 | 0 | 0 | 0.056753 | 0 | 0 | 0 | 0 | 0 | 0.011429 | 1 | 0.011429 | false | 0 | 0.04 | 0 | 0.091429 | 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 |
8aa22dad95839c5aa4e52f5c6ec5b084424226d6 | 1,534 | py | Python | simplimental/simplimental.py | TimmyCarbone/simplimental | e46a0e63ce33e36b1e4ca3a473ad15d0732614ed | [
"MIT"
] | 2 | 2015-11-25T15:12:05.000Z | 2017-06-22T16:36:58.000Z | simplimental/simplimental.py | TimmyCarbone/simplimental | e46a0e63ce33e36b1e4ca3a473ad15d0732614ed | [
"MIT"
] | null | null | null | simplimental/simplimental.py | TimmyCarbone/simplimental | e46a0e63ce33e36b1e4ca3a473ad15d0732614ed | [
"MIT"
] | null | null | null | import re
import json
__all__ = ["Simplimental"]
class Simplimental:
def __init__(self, text="This is not a bad idea"):
self.text = text
with open('simplimental/data/afinn.json') as data_file:
self.dictionary = json.load(data_file)
no_punctunation = re.sub(r"[^a-zA-Z ]+", " ", self.text)
self.toke... | 21.605634 | 72 | 0.612777 | 216 | 1,534 | 4.287037 | 0.268519 | 0.118791 | 0.056156 | 0.030238 | 0.50324 | 0.50324 | 0.50324 | 0.50324 | 0.50324 | 0.50324 | 0 | 0.012648 | 0.226858 | 1,534 | 70 | 73 | 21.914286 | 0.768128 | 0 | 0 | 0.462963 | 0 | 0 | 0.1206 | 0.018253 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.037037 | 0 | 0.185185 | 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 |
8aa2d7e8d015afdc94844a8b1cce4b350015d579 | 3,637 | py | Python | Python/Examples/Macros/SettingsAxesOptimization.py | archformco/RoboDK-API | b3d0cad6a83f505811e2be273453ccb4579324f1 | [
"MIT"
] | 161 | 2018-03-23T01:27:08.000Z | 2022-03-23T12:18:35.000Z | Python/Examples/Macros/SettingsAxesOptimization.py | OxideDevX/RoboDK-API | 50357c38b2fcf58cf82d9b7bf61021cb900fd358 | [
"MIT"
] | 26 | 2018-11-19T10:18:58.000Z | 2022-03-28T18:37:11.000Z | Python/Examples/Macros/SettingsAxesOptimization.py | OxideDevX/RoboDK-API | 50357c38b2fcf58cf82d9b7bf61021cb900fd358 | [
"MIT"
] | 85 | 2018-03-22T19:25:35.000Z | 2022-03-30T04:46:59.000Z | # This example shows how to read or modify the Axes Optimization settings using the RoboDK API and a JSON string.
# You can select "Axes optimization" in a robot machining menu or the robot parameters to view the axes optimization settings.
# It is possible to update the axes optimization settings attached to a robot o... | 28.414063 | 133 | 0.62854 | 532 | 3,637 | 4.167293 | 0.31015 | 0.021651 | 0.013532 | 0.027064 | 0.204781 | 0.167794 | 0.156969 | 0.156969 | 0.156969 | 0.156969 | 0 | 0.063401 | 0.236734 | 3,637 | 127 | 134 | 28.637795 | 0.735231 | 0.428375 | 0 | 0.225 | 0 | 0 | 0.200098 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.025 | 0 | 0.025 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8aa372fac8202953aac93a2529989a1508f2b506 | 1,072 | py | Python | tests/test_grammar.py | Vipul97/SLR-Parser | 3de5609235d173d29ad9bd9ed7bdfe2a813ab1bd | [
"MIT"
] | 5 | 2018-10-30T04:09:46.000Z | 2020-03-17T04:47:06.000Z | tests/test_grammar.py | Vipul97/SLR-Parser | 3de5609235d173d29ad9bd9ed7bdfe2a813ab1bd | [
"MIT"
] | null | null | null | tests/test_grammar.py | Vipul97/SLR-Parser | 3de5609235d173d29ad9bd9ed7bdfe2a813ab1bd | [
"MIT"
] | 5 | 2019-06-16T20:16:46.000Z | 2020-04-14T06:44:32.000Z | from slr_parser.grammar import Grammar
import unittest
class TestGrammar(unittest.TestCase):
def test_grammar(self):
with open('tests/test_grammar.txt') as grammar_file:
self.G = Grammar(grammar_file.read())
self.assertDictEqual(
{'E': {('E', '+', 'T'), ('T',)}, 'T'... | 29.777778 | 114 | 0.488806 | 128 | 1,072 | 3.96875 | 0.304688 | 0.027559 | 0.023622 | 0.023622 | 0.301181 | 0.269685 | 0.269685 | 0.255906 | 0.055118 | 0.055118 | 0 | 0.002558 | 0.270522 | 1,072 | 35 | 115 | 30.628571 | 0.647059 | 0 | 0 | 0.214286 | 0 | 0 | 0.157649 | 0.020522 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.035714 | false | 0 | 0.071429 | 0 | 0.142857 | 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 |
8aa613f84bb4cdd381d01e4e99ee1eab1597c53c | 1,732 | py | Python | tests/test_merge.py | jmerizia/parallel-pytorch | d27b2fd145d25f1329a039c99b8895783bfc71e5 | [
"MIT"
] | null | null | null | tests/test_merge.py | jmerizia/parallel-pytorch | d27b2fd145d25f1329a039c99b8895783bfc71e5 | [
"MIT"
] | null | null | null | tests/test_merge.py | jmerizia/parallel-pytorch | d27b2fd145d25f1329a039c99b8895783bfc71e5 | [
"MIT"
] | null | null | null | import torch
import numpy as np
from mpi4py import MPI
from parallel_pytorch.ops import tensor_merge
from parallel_pytorch.utils import abort_on_exception
@abort_on_exception
def test_1():
worker_shape = [2, 2]
world = MPI.COMM_WORLD
num_workers = np.array(worker_shape).prod()
comm = MPI.COMM_WORLD.... | 29.355932 | 103 | 0.561778 | 261 | 1,732 | 3.509579 | 0.241379 | 0.084061 | 0.078603 | 0.061135 | 0.576419 | 0.495633 | 0.495633 | 0.460699 | 0.408297 | 0.408297 | 0 | 0.054575 | 0.2806 | 1,732 | 58 | 104 | 29.862069 | 0.680578 | 0 | 0 | 0.340426 | 0 | 0 | 0.016166 | 0 | 0 | 0 | 0 | 0 | 0.042553 | 1 | 0.06383 | false | 0 | 0.106383 | 0 | 0.170213 | 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 |
8aa6533a09d6a4b3ba6f06626bf481622c2da357 | 542 | py | Python | day07/main.py | tebriel/aoc2021 | 65ca19be3ad66dc52eee9ca31cf12306695a24e9 | [
"Unlicense"
] | null | null | null | day07/main.py | tebriel/aoc2021 | 65ca19be3ad66dc52eee9ca31cf12306695a24e9 | [
"Unlicense"
] | null | null | null | day07/main.py | tebriel/aoc2021 | 65ca19be3ad66dc52eee9ca31cf12306695a24e9 | [
"Unlicense"
] | null | null | null | """Day 07"""
def process(filename):
with open(filename) as infile:
positions = [int(x) for x in infile.readline().strip().split(',')]
min_x = min(positions)
max_x = max(positions)
costs = {x: 0 for x in range(min_x, max_x + 1)}
for pos in costs.keys():
for crab in positions:
... | 25.809524 | 74 | 0.573801 | 75 | 542 | 3.986667 | 0.506667 | 0.033445 | 0.040134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017413 | 0.258303 | 542 | 20 | 75 | 27.1 | 0.726368 | 0.01107 | 0 | 0 | 0 | 0 | 0.103774 | 0.039623 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.071429 | 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 |
8aa6ff7f14bd0c2736eb3afb641dd73452250888 | 1,276 | py | Python | src/ceres_infer/utils.py | pritchardlabatpsu/cga | 0a71c672b1348cebc724560643fd908d636fc133 | [
"MIT"
] | null | null | null | src/ceres_infer/utils.py | pritchardlabatpsu/cga | 0a71c672b1348cebc724560643fd908d636fc133 | [
"MIT"
] | null | null | null | src/ceres_infer/utils.py | pritchardlabatpsu/cga | 0a71c672b1348cebc724560643fd908d636fc133 | [
"MIT"
] | 1 | 2022-02-08T01:06:20.000Z | 2022-02-08T01:06:20.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
utilities
@author: boyangzhao
"""
import pandas as pd
import re
def int2ordinal(n):
# partially based on https://stackoverflow.com/questions/9647202/ordinal-numbers-replacement
if (type(n) is int) or n.isdigit():
if type(n) is not int:
n =... | 24.075472 | 96 | 0.530564 | 198 | 1,276 | 3.414141 | 0.434343 | 0.022189 | 0.035503 | 0.031065 | 0.193787 | 0.174556 | 0.174556 | 0.139053 | 0.139053 | 0.139053 | 0 | 0.025219 | 0.285266 | 1,276 | 52 | 97 | 24.538462 | 0.716009 | 0.245298 | 0 | 0.21875 | 0 | 0 | 0.090622 | 0.077977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.0625 | 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 |
8aa76a43878c4baa56da24cd2df4e08dd1f12800 | 4,779 | py | Python | MAIN/Screens/Settings/category_2/__init__.py | aragubas/fogoso | bd24e049ee994410320e87fb3706c95bd8c9801f | [
"Apache-2.0"
] | null | null | null | MAIN/Screens/Settings/category_2/__init__.py | aragubas/fogoso | bd24e049ee994410320e87fb3706c95bd8c9801f | [
"Apache-2.0"
] | null | null | null | MAIN/Screens/Settings/category_2/__init__.py | aragubas/fogoso | bd24e049ee994410320e87fb3706c95bd8c9801f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3.7
# Copyright 2020 Aragubas
#
# 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... | 42.669643 | 306 | 0.765432 | 527 | 4,779 | 6.776091 | 0.26945 | 0.105853 | 0.070568 | 0.090731 | 0.540185 | 0.509941 | 0.462335 | 0.380006 | 0.380006 | 0.239429 | 0 | 0.022555 | 0.146474 | 4,779 | 112 | 307 | 42.669643 | 0.852905 | 0.138523 | 0 | 0.264706 | 0 | 0 | 0.118006 | 0.087222 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.132353 | 0 | 0.191176 | 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 |
8aa8401fd27f8fa99c12308b325e2e4f0cfa3068 | 2,872 | py | Python | tests/test.py | kjanik70/tflearn | db5176773299b67a2a75c5889fb2aba7fd0fea8a | [
"MIT"
] | 10,882 | 2016-03-31T16:03:11.000Z | 2022-03-26T03:00:27.000Z | tests/test.py | min0355/tflearn | db5176773299b67a2a75c5889fb2aba7fd0fea8a | [
"MIT"
] | 1,079 | 2016-04-02T06:14:16.000Z | 2022-02-27T10:04:47.000Z | tests/test.py | min0355/tflearn | db5176773299b67a2a75c5889fb2aba7fd0fea8a | [
"MIT"
] | 3,014 | 2016-03-31T16:03:26.000Z | 2022-03-30T20:36:53.000Z | '''
This file contains test cases for tflearn
'''
import tensorflow.compat.v1 as tf
import tflearn
import unittest
class TestActivations(unittest.TestCase):
'''
This class contains test cases for the functions in tflearn/activations.py
'''
PLACES = 4 # Number of places to match when testing fl... | 30.88172 | 82 | 0.547354 | 344 | 2,872 | 4.488372 | 0.218023 | 0.054404 | 0.129534 | 0.145078 | 0.653497 | 0.533031 | 0.488342 | 0.331606 | 0.331606 | 0.306347 | 0 | 0.04186 | 0.326253 | 2,872 | 93 | 83 | 30.88172 | 0.756072 | 0.11734 | 0 | 0.326923 | 0 | 0 | 0.012846 | 0 | 0 | 0 | 0 | 0 | 0.269231 | 1 | 0.076923 | false | 0 | 0.057692 | 0 | 0.173077 | 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 |
8aaa6ef648c6ab0a8f38e3df5ebf0a4f712b233a | 2,313 | py | Python | infrastructure-provisioning/src/general/api/install_libs.py | roolrd/incubator-datalab | 2045207ecd1b381193f1a1ec143cc968716ad989 | [
"Apache-2.0"
] | 66 | 2020-10-03T08:36:48.000Z | 2022-03-20T23:16:20.000Z | infrastructure-provisioning/src/general/api/install_libs.py | roolrd/incubator-datalab | 2045207ecd1b381193f1a1ec143cc968716ad989 | [
"Apache-2.0"
] | 48 | 2019-02-28T12:11:33.000Z | 2020-09-15T08:27:08.000Z | infrastructure-provisioning/src/general/api/install_libs.py | roolrd/incubator-datalab | 2045207ecd1b381193f1a1ec143cc968716ad989 | [
"Apache-2.0"
] | 44 | 2019-01-14T10:31:55.000Z | 2020-09-22T17:53:33.000Z | #!/usr/bin/python3
# *****************************************************************************
#
# 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 ... | 35.584615 | 105 | 0.565932 | 267 | 2,313 | 4.820225 | 0.47191 | 0.048951 | 0.037296 | 0.041958 | 0.156954 | 0.156954 | 0.156954 | 0.10101 | 0.10101 | 0.10101 | 0 | 0.007545 | 0.25508 | 2,313 | 65 | 106 | 35.584615 | 0.739408 | 0.400778 | 0 | 0.235294 | 0 | 0 | 0.232064 | 0.043192 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 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 |
8aab4acf40735c2dc3547887c3be02d0b2808eff | 1,584 | py | Python | model_zoo/official/nlp/bert_thor/src/evaluation_config.py | GuoSuiming/mindspore | 48afc4cfa53d970c0b20eedfb46e039db2a133d5 | [
"Apache-2.0"
] | 55 | 2020-12-17T10:26:06.000Z | 2022-03-28T07:18:26.000Z | model_zoo/official/nlp/bert_thor/src/evaluation_config.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | 1 | 2020-12-29T06:46:38.000Z | 2020-12-29T06:46:38.000Z | model_zoo/official/nlp/bert_thor/src/evaluation_config.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | 14 | 2021-01-29T02:39:47.000Z | 2022-03-23T05:00:26.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 28.8 | 78 | 0.693813 | 219 | 1,584 | 4.835616 | 0.643836 | 0.056657 | 0.024551 | 0.030217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035823 | 0.171717 | 1,584 | 54 | 79 | 29.333333 | 0.771341 | 0.431818 | 0 | 0 | 0 | 0 | 0.085324 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.09375 | 0 | 0.09375 | 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 |
8aad801ac3abc226337a71ef38e5ff434b1f3490 | 1,052 | py | Python | portal/apps/core/management/commands/sync_articleviewedby.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 8 | 2020-12-15T17:11:08.000Z | 2021-12-13T22:08:33.000Z | portal/apps/core/management/commands/sync_articleviewedby.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 28 | 2020-12-15T17:34:03.000Z | 2022-02-01T04:09:10.000Z | portal/apps/core/management/commands/sync_articleviewedby.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 7 | 2020-12-15T19:59:17.000Z | 2021-11-24T16:47:06.000Z | # -*- coding: utf-8 -*-
# utopia-cms 2020. Aníbal Pacheco.
from django.core.management import BaseCommand
from django.db.utils import IntegrityError
from apps import core_articleviewedby_mdb
from core.models import ArticleViewedBy
class Command(BaseCommand):
help = "Moves article viewed by data from mongodb to ... | 37.571429 | 114 | 0.640684 | 121 | 1,052 | 5.347107 | 0.46281 | 0.097372 | 0.102009 | 0.080371 | 0.225657 | 0.225657 | 0.15456 | 0.15456 | 0.15456 | 0.15456 | 0 | 0.006477 | 0.26616 | 1,052 | 27 | 115 | 38.962963 | 0.831606 | 0.051331 | 0 | 0.2 | 0 | 0 | 0.097487 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0.05 | 0.2 | 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 |
8aad8dc0d7dead55101c7087ad08700bb763b130 | 7,900 | py | Python | examples/minkunet.py | dendisuhubdy/MinkowskiEngine | a1cdcba68ef925bfefed2fe161f62e1ec78573b9 | [
"MIT"
] | 1 | 2019-05-12T00:06:10.000Z | 2019-05-12T00:06:10.000Z | examples/minkunet.py | dendisuhubdy/MinkowskiEngine | a1cdcba68ef925bfefed2fe161f62e1ec78573b9 | [
"MIT"
] | null | null | null | examples/minkunet.py | dendisuhubdy/MinkowskiEngine | a1cdcba68ef925bfefed2fe161f62e1ec78573b9 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from torch.optim import SGD
import MinkowskiEngine as ME
from MinkowskiEngine.modules.resnet_block import BasicBlock, Bottleneck
from examples.common import data_loader
from examples.resnet import ResNetBase
class MinkUNetBase(ResNetBase):
BLOCK = None
PLANES = None
D... | 30.501931 | 80 | 0.603291 | 1,006 | 7,900 | 4.651093 | 0.191849 | 0.046377 | 0.011541 | 0.011113 | 0.446463 | 0.368241 | 0.290447 | 0.209446 | 0.163283 | 0.142766 | 0 | 0.087391 | 0.277215 | 7,900 | 258 | 81 | 30.620155 | 0.732049 | 0.053797 | 0 | 0.161677 | 0 | 0 | 0.006704 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017964 | false | 0 | 0.041916 | 0 | 0.317365 | 0.011976 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ab02ecbf400acde29e043cc50c322067db1b570 | 1,654 | py | Python | GREYATOM-PROJECT----DATA--WRANGLING-WITH-PANDAS/code.py | Preethinaidu14/greyatom-python-for-data-science | 5b758dd6123d9fc50031c43771b30d69e366c044 | [
"MIT"
] | null | null | null | GREYATOM-PROJECT----DATA--WRANGLING-WITH-PANDAS/code.py | Preethinaidu14/greyatom-python-for-data-science | 5b758dd6123d9fc50031c43771b30d69e366c044 | [
"MIT"
] | null | null | null | GREYATOM-PROJECT----DATA--WRANGLING-WITH-PANDAS/code.py | Preethinaidu14/greyatom-python-for-data-science | 5b758dd6123d9fc50031c43771b30d69e366c044 | [
"MIT"
] | null | null | null | # --------------
# Import packages
import numpy as np
import pandas as pd
from scipy.stats import mode
path
# code starts here
bank = pd.read_csv(path)
categorical_var = bank.select_dtypes(include = 'object')
print(categorical_var)
numerical_var = bank.select_dtypes(include = 'number')
print(numerical_var)
# code... | 19.458824 | 105 | 0.688634 | 239 | 1,654 | 4.527197 | 0.351464 | 0.051756 | 0.077634 | 0.073937 | 0.260628 | 0.212569 | 0.16451 | 0.081331 | 0.081331 | 0 | 0 | 0.015193 | 0.124547 | 1,654 | 84 | 106 | 19.690476 | 0.732044 | 0.255744 | 0 | 0 | 0 | 0 | 0.137531 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.103448 | 0 | 0.103448 | 0.241379 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ab2d6d56bce4e65f9e2921fdc0ec8fdc7ecb7fb | 855 | py | Python | venv/Lib/site-packages/patsy/test_regressions.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 710 | 2015-01-07T20:08:59.000Z | 2022-03-08T14:30:13.000Z | venv/Lib/site-packages/patsy/test_regressions.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 142 | 2015-01-07T02:20:27.000Z | 2021-11-15T04:23:02.000Z | venv/Lib/site-packages/patsy/test_regressions.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 101 | 2015-01-15T16:35:12.000Z | 2022-02-19T06:50:02.000Z | # This file is part of Patsy
# Copyright (C) 2013 Nathaniel Smith <njs@pobox.com>
# See file LICENSE.txt for license information.
# Regression tests for fixed bugs (when not otherwise better covered somewhere
# else)
from patsy import (EvalEnvironment, dmatrix, build_design_matrices,
PatsyError, Or... | 34.2 | 78 | 0.645614 | 131 | 855 | 4.145038 | 0.641221 | 0.014733 | 0.022099 | 0.014733 | 0.018416 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045593 | 0.230409 | 855 | 24 | 79 | 35.625 | 0.779635 | 0.375439 | 0 | 0 | 0 | 0 | 0.022814 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.142857 | 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 |
8ab404c67e6f07e674ae9c5b07f6e6e0e0f914ac | 7,764 | py | Python | skimage/io/_plugins/pil_plugin.py | smheidrich/scikit-image | e9cf8b850c4c2800cc221be6f1dfff6a2a32a4eb | [
"BSD-3-Clause"
] | 3 | 2019-02-28T16:05:36.000Z | 2020-04-03T17:29:07.000Z | Lib/site-packages/skimage/io/_plugins/pil_plugin.py | caiyongji/Anaconda-py36.5-tensorflow-built-env | f4eb40b5ca3f49dfc929ff3ad2b4bb877e9663e2 | [
"PSF-2.0"
] | 26 | 2020-03-24T18:07:06.000Z | 2022-03-12T00:12:27.000Z | Lib/site-packages/skimage/io/_plugins/pil_plugin.py | caiyongji/Anaconda-py36.5-tensorflow-built-env | f4eb40b5ca3f49dfc929ff3ad2b4bb877e9663e2 | [
"PSF-2.0"
] | 3 | 2019-12-31T23:21:40.000Z | 2020-04-03T17:29:08.000Z | __all__ = ['imread', 'imsave']
import numpy as np
from PIL import Image
from ...util import img_as_ubyte, img_as_uint
def imread(fname, dtype=None, img_num=None, **kwargs):
"""Load an image from file.
Parameters
----------
fname : str or file
File name or file-like-object.
dtype : numpy ... | 29.861538 | 93 | 0.579341 | 1,034 | 7,764 | 4.263056 | 0.246615 | 0.017695 | 0.02314 | 0.016334 | 0.161071 | 0.106171 | 0.071234 | 0.071234 | 0.071234 | 0.071234 | 0 | 0.014155 | 0.308475 | 7,764 | 259 | 94 | 29.976834 | 0.806854 | 0.328568 | 0 | 0.295455 | 0 | 0 | 0.073508 | 0 | 0 | 0 | 0 | 0 | 0.007576 | 1 | 0.037879 | false | 0 | 0.022727 | 0 | 0.106061 | 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 |
8ab863848d8379f82bfc5f650de33e10615f3285 | 8,132 | py | Python | machine.py | yukti07/Dell_Hire_hack | 9422b7aaa0b96292191b4b880c0a8fb772fd1864 | [
"MIT"
] | null | null | null | machine.py | yukti07/Dell_Hire_hack | 9422b7aaa0b96292191b4b880c0a8fb772fd1864 | [
"MIT"
] | null | null | null | machine.py | yukti07/Dell_Hire_hack | 9422b7aaa0b96292191b4b880c0a8fb772fd1864 | [
"MIT"
] | null | null | null | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
from flask import flash
import numpy as np
def ch... | 47.835294 | 405 | 0.684702 | 1,047 | 8,132 | 5.211079 | 0.209169 | 0.100073 | 0.033358 | 0.050403 | 0.577529 | 0.531892 | 0.510264 | 0.427419 | 0.413673 | 0.36217 | 0 | 0.027814 | 0.155558 | 8,132 | 169 | 406 | 48.118343 | 0.76671 | 0.025578 | 0 | 0.273381 | 0 | 0 | 0.28944 | 0.070651 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021583 | false | 0 | 0.093525 | 0 | 0.129496 | 0.007194 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ab8993b826c4cf13cc7b962623c2d00cc2adcf7 | 6,435 | py | Python | TM-GCN-master/experiment_bitcoin_baseline_link_prediction.py | OsmanMalik/TM-GCN | 31b19a538f264f6c30b5503ecefb497ee865b4d7 | [
"Apache-2.0"
] | 14 | 2020-11-04T17:10:19.000Z | 2022-03-04T07:48:22.000Z | TM-GCN-master/experiment_bitcoin_baseline_link_prediction.py | OsmanMalik/TM-GCN | 31b19a538f264f6c30b5503ecefb497ee865b4d7 | [
"Apache-2.0"
] | 2 | 2021-09-06T09:38:12.000Z | 2021-09-06T09:50:52.000Z | TensorGCN-master/experiment_bitcoin_baseline_link_prediction.py | NaimahmedNesaragi/TM-GCN | 275d057a7261d8e6b544dad66b7daa7943d11c4f | [
"Apache-2.0"
] | 6 | 2021-01-11T23:42:39.000Z | 2022-01-31T08:37:13.000Z | # This version of the bitcoin experiment imports data preprocessed in Matlab, and uses the GCN baseline
# The point of this script is to do link prediction
# Imports and aliases
import pickle
import torch as t
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.datasets as datas... | 45.638298 | 191 | 0.707537 | 1,084 | 6,435 | 3.928044 | 0.208487 | 0.025364 | 0.019023 | 0.026303 | 0.480977 | 0.437764 | 0.403476 | 0.305543 | 0.220291 | 0.193048 | 0 | 0.035998 | 0.158197 | 6,435 | 141 | 192 | 45.638298 | 0.750046 | 0.150894 | 0 | 0.15534 | 0 | 0.029126 | 0.107149 | 0.009557 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.145631 | 0 | 0.145631 | 0.097087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8abb81ca4107a0dafeae1ce248a3690886bc60c3 | 1,960 | py | Python | Coding_Part/bob.py | qizhu8/CSCI6230-HW02 | c889c0532db7ff4f25e134937469e5e6181416f0 | [
"Apache-2.0"
] | null | null | null | Coding_Part/bob.py | qizhu8/CSCI6230-HW02 | c889c0532db7ff4f25e134937469e5e6181416f0 | [
"Apache-2.0"
] | null | null | null | Coding_Part/bob.py | qizhu8/CSCI6230-HW02 | c889c0532db7ff4f25e134937469e5e6181416f0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
from PKC_Classes import NetworkUser, KDC
from DES import DES
from RSA_Class import RSA
import socket
import os
import sys
import threading
import time
if sys.version_info[0] < 3:
raise Exception("Must be using Python 3")
def reply_conn(conn, addr):
print('Accep... | 26.849315 | 69 | 0.694388 | 298 | 1,960 | 4.348993 | 0.38255 | 0.048611 | 0.050926 | 0.069444 | 0.222994 | 0.126543 | 0.126543 | 0.126543 | 0.126543 | 0.058642 | 0 | 0.032663 | 0.187755 | 1,960 | 72 | 70 | 27.222222 | 0.781407 | 0.127551 | 0 | 0.2 | 0 | 0 | 0.051795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.16 | 0 | 0.18 | 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 |
8abbc734ea1294bef8b90bd4c5b933a5890bb4db | 10,257 | py | Python | proj/scripts/cluster/baselines/triplets_greyscale.py | zqma/IIC | 9d4e30b51535c6ca381389d9c22ce45be4d11883 | [
"MIT"
] | null | null | null | proj/scripts/cluster/baselines/triplets_greyscale.py | zqma/IIC | 9d4e30b51535c6ca381389d9c22ce45be4d11883 | [
"MIT"
] | null | null | null | proj/scripts/cluster/baselines/triplets_greyscale.py | zqma/IIC | 9d4e30b51535c6ca381389d9c22ce45be4d11883 | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import itertools
import os
import pickle
import sys
from datetime import datetime
import matplotlib
import numpy as np
import torch
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import proj.archs as archs
from proj.utils.cluster.general import config_to_... | 33.963576 | 82 | 0.632641 | 1,386 | 10,257 | 4.453824 | 0.20202 | 0.049571 | 0.093634 | 0.051029 | 0.359631 | 0.283169 | 0.256601 | 0.233274 | 0.17042 | 0.083266 | 0 | 0.010256 | 0.201521 | 10,257 | 301 | 83 | 34.076412 | 0.743468 | 0.073608 | 0 | 0.169014 | 0 | 0 | 0.11863 | 0.013812 | 0 | 0 | 0 | 0 | 0.014085 | 1 | 0 | false | 0 | 0.065728 | 0 | 0.065728 | 0.046948 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8abc2535fb59574434dff13ed4c596ed4d606f9e | 4,279 | py | Python | addons/twofactor/tests/test_models.py | tsukaeru/RDM-osf.io | 2dc3e539322b6110e51772f8bd25ebdeb8e12d0e | [
"Apache-2.0"
] | 11 | 2018-12-11T16:39:40.000Z | 2022-02-26T09:51:32.000Z | addons/twofactor/tests/test_models.py | tsukaeru/RDM-osf.io | 2dc3e539322b6110e51772f8bd25ebdeb8e12d0e | [
"Apache-2.0"
] | 52 | 2018-04-13T05:03:21.000Z | 2022-03-22T02:56:19.000Z | addons/twofactor/tests/test_models.py | tsukaeru/RDM-osf.io | 2dc3e539322b6110e51772f8bd25ebdeb8e12d0e | [
"Apache-2.0"
] | 16 | 2018-07-09T01:44:51.000Z | 2021-06-30T01:57:16.000Z | import unittest
from future.moves.urllib.parse import urlparse, urljoin, parse_qs
import pytest
from addons.twofactor.tests.utils import _valid_code
from nose.tools import (assert_equal, assert_false, assert_is_none,
assert_is_not_none, assert_true)
from osf_tests.factories import UserFactory
... | 32.416667 | 78 | 0.646646 | 529 | 4,279 | 4.939509 | 0.20794 | 0.122465 | 0.177574 | 0.091848 | 0.562189 | 0.521623 | 0.50287 | 0.487945 | 0.487945 | 0.487945 | 0 | 0.01519 | 0.26151 | 4,279 | 131 | 79 | 32.664122 | 0.811709 | 0.093012 | 0 | 0.361702 | 0 | 0 | 0.05811 | 0 | 0 | 0 | 0 | 0 | 0.244681 | 1 | 0.117021 | false | 0 | 0.06383 | 0 | 0.223404 | 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 |
8abed448e30652e384272b8cc640eedca2d718cf | 1,708 | py | Python | lanedet/runner/utils/net_utils.py | ztjsw/lanedet | c957e1f70695e39063231612637e22fcad2769f5 | [
"Apache-2.0"
] | 1 | 2021-05-22T09:36:17.000Z | 2021-05-22T09:36:17.000Z | lanedet/runner/utils/net_utils.py | ztjsw/lanedet | c957e1f70695e39063231612637e22fcad2769f5 | [
"Apache-2.0"
] | null | null | null | lanedet/runner/utils/net_utils.py | ztjsw/lanedet | c957e1f70695e39063231612637e22fcad2769f5 | [
"Apache-2.0"
] | null | null | null | import torch
import os
from torch import nn
import numpy as np
import torch.nn.functional
from termcolor import colored
from .logger import get_logger
def save_model(net, optim, scheduler, recorder, is_best=False):
model_dir = os.path.join(recorder.work_dir, 'ckpt')
os.system('mkdir -p {}'.format(model_dir))
... | 34.16 | 84 | 0.648712 | 240 | 1,708 | 4.445833 | 0.325 | 0.067479 | 0.028116 | 0.028116 | 0.088097 | 0.050609 | 0.050609 | 0 | 0 | 0 | 0 | 0.001498 | 0.218384 | 1,708 | 49 | 85 | 34.857143 | 0.797753 | 0.141101 | 0 | 0.052632 | 0 | 0 | 0.065708 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.184211 | 0 | 0.289474 | 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 |
8ac004a4f19bb41d9cfa8a39529011d30c5a08dc | 5,455 | py | Python | main.py | jonodrew/matchex | 531e7cd1c328cb9dc34b601a06648bd2c3e709e6 | [
"MIT"
] | null | null | null | main.py | jonodrew/matchex | 531e7cd1c328cb9dc34b601a06648bd2c3e709e6 | [
"MIT"
] | null | null | null | main.py | jonodrew/matchex | 531e7cd1c328cb9dc34b601a06648bd2c3e709e6 | [
"MIT"
] | null | null | null | from __future__ import division
from timeit import default_timer as timer
import csv
import numpy as np
import itertools
from munkres import Munkres, print_matrix, make_cost_matrix
import sys
from classes import *
from functions import *
from math import sqrt
import Tkinter as tk
import tkFileDialog as filedialog
root... | 30.646067 | 88 | 0.698075 | 761 | 5,455 | 4.948752 | 0.299606 | 0.01487 | 0.018587 | 0.033457 | 0.260754 | 0.217207 | 0.189326 | 0.123208 | 0.057886 | 0.038768 | 0 | 0.017787 | 0.16517 | 5,455 | 177 | 89 | 30.819209 | 0.809179 | 0.094409 | 0 | 0.044444 | 0 | 0 | 0.141674 | 0.018093 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.011111 | 0.133333 | 0 | 0.133333 | 0.088889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ac00891cba917dcea99bd7701a43788bba03334 | 3,142 | py | Python | pip_info/setup.py | 95616ARG/SyReNN | 19abf589e84ee67317134573054c648bb25c244d | [
"MIT"
] | 36 | 2019-08-19T06:17:52.000Z | 2022-03-11T09:02:40.000Z | pip_info/setup.py | 95616ARG/SyReNN | 19abf589e84ee67317134573054c648bb25c244d | [
"MIT"
] | 8 | 2020-04-09T20:59:04.000Z | 2022-03-11T23:56:50.000Z | pip_info/setup.py | 95616ARG/SyReNN | 19abf589e84ee67317134573054c648bb25c244d | [
"MIT"
] | 4 | 2021-01-13T11:17:55.000Z | 2021-06-28T19:36:04.000Z | """Setup script for PySyReNN.
Adapted from:
https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/
"""
import codecs
import os
import re
from setuptools import setup, find_packages
###################################################################
NAME = "pysyrenn"
PACKAGES = [
"syrenn_prot... | 30.803922 | 77 | 0.595799 | 329 | 3,142 | 5.507599 | 0.452888 | 0.115342 | 0.151766 | 0.086093 | 0.029801 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007717 | 0.216423 | 3,142 | 101 | 78 | 31.108911 | 0.72827 | 0.084978 | 0 | 0.025641 | 0 | 0 | 0.358303 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0.012821 | 0.051282 | 0 | 0.102564 | 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 |
8ac22e55a9c9778c66e3a1d86342cccdc465c6de | 4,117 | py | Python | pygears/svgen/modules/sieve.py | Risto97/pygears | 19393e85101a16762cb3bbbf3010946ef69217f2 | [
"MIT"
] | null | null | null | pygears/svgen/modules/sieve.py | Risto97/pygears | 19393e85101a16762cb3bbbf3010946ef69217f2 | [
"MIT"
] | null | null | null | pygears/svgen/modules/sieve.py | Risto97/pygears | 19393e85101a16762cb3bbbf3010946ef69217f2 | [
"MIT"
] | null | null | null | import itertools
from pygears.common.sieve import sieve
from pygears.svgen.inst import SVGenInstPlugin
from pygears.svgen.svmod import SVModuleGen
from functools import partial
from pygears.svgen.svgen import SVGenPlugin
from pygears.svgen.util import svgen_visitor
from pygears.core.hier_node import HierVisitorBase
fr... | 32.674603 | 83 | 0.589264 | 489 | 4,117 | 4.838446 | 0.323108 | 0.037194 | 0.033812 | 0.016906 | 0.130178 | 0.017751 | 0 | 0 | 0 | 0 | 0 | 0.004636 | 0.318922 | 4,117 | 125 | 84 | 32.936 | 0.839158 | 0.184115 | 0 | 0.097561 | 0 | 0 | 0.03053 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085366 | false | 0.012195 | 0.121951 | 0.012195 | 0.292683 | 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 |
8ac2a36b9aed8734fe00d975f21caf0ecc7d8aef | 5,461 | py | Python | examples/my_model_test.py | gzpyy/qlib | 56fdd028c8296c75f2a32bdb51869f010dd4f6d1 | [
"MIT"
] | null | null | null | examples/my_model_test.py | gzpyy/qlib | 56fdd028c8296c75f2a32bdb51869f010dd4f6d1 | [
"MIT"
] | null | null | null | examples/my_model_test.py | gzpyy/qlib | 56fdd028c8296c75f2a32bdb51869f010dd4f6d1 | [
"MIT"
] | null | null | null | #encoding=utf-8
import qlib
import pandas as pd
import pickle
import xgboost as xgb
import numpy as np
import re
from qlib.constant import REG_US
from qlib.utils import exists_qlib_data, init_instance_by_config
from qlib.workflow import R
from qlib.workflow.record_temp import SignalRecord, PortAnaRecord
from qlib.utils... | 33.29878 | 190 | 0.655741 | 717 | 5,461 | 4.781032 | 0.324965 | 0.042007 | 0.015169 | 0.015753 | 0.204784 | 0.179697 | 0.126604 | 0.106768 | 0.061844 | 0.061844 | 0 | 0.029837 | 0.202161 | 5,461 | 164 | 191 | 33.29878 | 0.756943 | 0.030031 | 0 | 0.164384 | 0 | 0 | 0.101701 | 0.016824 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013699 | false | 0 | 0.116438 | 0 | 0.150685 | 0.013699 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ac30fc95afe68d34f716111b4aac384fefa954a | 2,291 | py | Python | graphzoom/embed_methods/dgi/execute.py | junhoher/GraphZoom | 5073b49a34badf7bc6c25bd2a6cc6c78b4ee7d5a | [
"MIT"
] | 16 | 2019-10-18T06:31:29.000Z | 2021-09-23T12:46:19.000Z | graphzoom/embed_methods/dgi/execute.py | junhoher/GraphZoom | 5073b49a34badf7bc6c25bd2a6cc6c78b4ee7d5a | [
"MIT"
] | 7 | 2019-10-18T06:36:32.000Z | 2022-02-10T01:37:04.000Z | graphzoom/embed_methods/dgi/execute.py | junhoher/GraphZoom | 5073b49a34badf7bc6c25bd2a6cc6c78b4ee7d5a | [
"MIT"
] | 4 | 2019-11-15T12:47:11.000Z | 2021-02-15T07:26:24.000Z | import numpy as np
import scipy.sparse as sp
import torch
import torch.nn as nn
import networkx as nx
import time
from embed_methods.dgi.models import DGI, LogReg
from embed_methods.dgi.utils import process
def dgi(G, features):
batch_size = 1
nb_epochs = 10000
patience = 20
lr = 0.001
l2_coef = 0.0
drop... | 24.634409 | 109 | 0.656482 | 335 | 2,291 | 4.325373 | 0.346269 | 0.017253 | 0.022084 | 0.026225 | 0.125604 | 0.069013 | 0.069013 | 0.041408 | 0 | 0 | 0 | 0.020787 | 0.223047 | 2,291 | 92 | 110 | 24.902174 | 0.793258 | 0.015277 | 0 | 0.123288 | 0 | 0 | 0.020408 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013699 | false | 0 | 0.109589 | 0 | 0.136986 | 0.054795 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ac447e8327f451aa635702a06c66e0d74dc0eb1 | 1,668 | py | Python | tools/ci/deploy_to_github_release.py | rodb70/RDMnet | 94d17e1dfda2d1f56b120f6342231c43bf6862b0 | [
"Apache-2.0"
] | 30 | 2018-07-16T15:54:19.000Z | 2021-11-21T21:17:36.000Z | tools/ci/deploy_to_github_release.py | rodb70/RDMnet | 94d17e1dfda2d1f56b120f6342231c43bf6862b0 | [
"Apache-2.0"
] | 27 | 2019-04-12T22:45:25.000Z | 2021-08-13T15:20:04.000Z | tools/ci/deploy_to_github_release.py | rodb70/RDMnet | 94d17e1dfda2d1f56b120f6342231c43bf6862b0 | [
"Apache-2.0"
] | 12 | 2019-06-28T19:28:58.000Z | 2021-11-17T12:10:44.000Z | """Deploys binaries to a GitHub release given the specified tag name."""
import argparse
import os
import time
from github import Github
THIS_FILE_DIRECTORY = os.path.dirname(os.path.realpath(__file__))
GH_REPO_IDENT = "ETCLabs/RDMnet"
GH_USERNAME = "svc-etclabs"
GH_API_TOKEN = os.getenv("SVC_ETCLABS_REPO_TOKEN")
de... | 29.785714 | 82 | 0.682854 | 230 | 1,668 | 4.726087 | 0.434783 | 0.044158 | 0.044158 | 0.057958 | 0.083717 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003776 | 0.206235 | 1,668 | 55 | 83 | 30.327273 | 0.817221 | 0.107314 | 0 | 0 | 0 | 0 | 0.255924 | 0.014895 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0.025641 | 0.102564 | 0 | 0.153846 | 0.051282 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ac489649919e5a666b90d4e91cad4bcbdd5e983 | 1,513 | py | Python | matchms/filtering/add_losses.py | maximskorik/matchms | 922f5afaef123a793194bdd74391027477cbb844 | [
"Apache-2.0"
] | null | null | null | matchms/filtering/add_losses.py | maximskorik/matchms | 922f5afaef123a793194bdd74391027477cbb844 | [
"Apache-2.0"
] | null | null | null | matchms/filtering/add_losses.py | maximskorik/matchms | 922f5afaef123a793194bdd74391027477cbb844 | [
"Apache-2.0"
] | null | null | null | import logging
import numpy
from ..Fragments import Fragments
from ..typing import SpectrumType
logger = logging.getLogger("matchms")
def add_losses(spectrum_in: SpectrumType, loss_mz_from=0.0, loss_mz_to=1000.0) -> SpectrumType:
"""Derive losses based on precursor mass.
Parameters
----------
spect... | 35.186047 | 109 | 0.639128 | 183 | 1,513 | 5.076503 | 0.371585 | 0.106566 | 0.032293 | 0.017223 | 0.178687 | 0.157158 | 0.157158 | 0.068891 | 0 | 0 | 0 | 0.01444 | 0.26768 | 1,513 | 42 | 110 | 36.02381 | 0.824007 | 0.188367 | 0 | 0 | 0 | 0 | 0.15865 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.043478 | false | 0 | 0.173913 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8ac8388c155952144c99a47c3c6e38eeff168835 | 10,829 | py | Python | cornflow_client/schema/dictSchema.py | baobabsoluciones/cornflow-client | f9996f0b841885d26639cb63c8ba6090387de57f | [
"MIT"
] | 3 | 2021-05-12T11:21:26.000Z | 2022-02-22T19:23:46.000Z | cornflow_client/schema/dictSchema.py | baobabsoluciones/cornflow-client | f9996f0b841885d26639cb63c8ba6090387de57f | [
"MIT"
] | 17 | 2021-03-14T17:09:46.000Z | 2022-02-28T19:12:37.000Z | cornflow_client/schema/dictSchema.py | baobabsoluciones/cornflow-client | f9996f0b841885d26639cb63c8ba6090387de57f | [
"MIT"
] | 2 | 2020-10-03T20:00:19.000Z | 2022-03-24T11:52:22.000Z | import re
from .dict_functions import gen_schema, ParameterSchema, sort_dict
from cornflow_client.constants import JSON_TYPES, DATASCHEMA
class DictSchema:
"""
A json-schema to dict-schema parser
"""
def __init__(self, jsonschema):
"""
Class to manage internal dictionary schema
... | 35.739274 | 117 | 0.559793 | 1,265 | 10,829 | 4.605534 | 0.124901 | 0.084106 | 0.038448 | 0.037762 | 0.456402 | 0.401819 | 0.344147 | 0.296087 | 0.250086 | 0.235668 | 0 | 0.003512 | 0.342599 | 10,829 | 302 | 118 | 35.857616 | 0.814862 | 0.303629 | 0 | 0.346821 | 0 | 0 | 0.053468 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086705 | false | 0 | 0.017341 | 0.00578 | 0.242775 | 0.00578 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8acad105c230508195bd3af6419dc374a38241b0 | 6,670 | py | Python | swift/common/ondisk.py | citrix-openstack-build/swift | 34340ddf49a84f3b3398012c2b60be1215033559 | [
"Apache-2.0"
] | 1 | 2016-03-14T23:38:37.000Z | 2016-03-14T23:38:37.000Z | swift/common/ondisk.py | vimeo/swift | 5eea524d3ea6d29c2b6f34927c0130090e7ed44d | [
"Apache-2.0"
] | null | null | null | swift/common/ondisk.py | vimeo/swift | 5eea524d3ea6d29c2b6f34927c0130090e7ed44d | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2010-2013 OpenStack, LLC.
#
# 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 ... | 36.054054 | 79 | 0.625487 | 816 | 6,670 | 5.011029 | 0.311275 | 0.037173 | 0.023967 | 0.017119 | 0.089998 | 0.078748 | 0.078748 | 0.078748 | 0.062607 | 0.062607 | 0 | 0.007707 | 0.2997 | 6,670 | 184 | 80 | 36.25 | 0.867694 | 0.358921 | 0 | 0.255102 | 0 | 0 | 0.081899 | 0.031972 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0.020408 | 0.081633 | 0 | 0.183673 | 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 |
8acb675f5ab5c65b02ffbf255720c5176625a170 | 1,923 | py | Python | .OLD_FILES/dossiers2_old1/custom/cache.py | KIHestad/WoT-Dossier-Parser-Create-Struct | 9eadeeead59b7b6cf78dc6a1e1e89fe2dffb260e | [
"MIT"
] | null | null | null | .OLD_FILES/dossiers2_old1/custom/cache.py | KIHestad/WoT-Dossier-Parser-Create-Struct | 9eadeeead59b7b6cf78dc6a1e1e89fe2dffb260e | [
"MIT"
] | null | null | null | .OLD_FILES/dossiers2_old1/custom/cache.py | KIHestad/WoT-Dossier-Parser-Create-Struct | 9eadeeead59b7b6cf78dc6a1e1e89fe2dffb260e | [
"MIT"
] | 2 | 2021-11-10T19:12:57.000Z | 2022-03-13T10:04:48.000Z | # uncompyle6 version 2.11.3
# Python bytecode 2.7 (62211)
# Decompiled from: Python 2.7.10 (default, May 23 2015, 09:40:32) [MSC v.1500 32 bit (Intel)]
# Embedded file name: scripts/common/dossiers2/custom/cache.py
import nations
from items import vehicles
def getCache():
global _g_cache
return _g_cache
def ... | 40.0625 | 148 | 0.693708 | 178 | 1,923 | 7.432584 | 0.522472 | 0.022676 | 0.052154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029851 | 0.198648 | 1,923 | 48 | 149 | 40.0625 | 0.828683 | 0.107124 | 0 | 0 | 0 | 0 | 0.096906 | 0.028021 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.138889 | 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 |
8acb8cd4dc2d6e35f38c30493bd708782f4c4cfd | 3,400 | py | Python | render_video.py | frostburn/branch-cut-mandelbrot | 26c4d2db75a32b9190d40a09ebfb8a67fc4829e8 | [
"MIT"
] | null | null | null | render_video.py | frostburn/branch-cut-mandelbrot | 26c4d2db75a32b9190d40a09ebfb8a67fc4829e8 | [
"MIT"
] | null | null | null | render_video.py | frostburn/branch-cut-mandelbrot | 26c4d2db75a32b9190d40a09ebfb8a67fc4829e8 | [
"MIT"
] | null | null | null | import argparse
import imageio
import progressbar
from _routines import ffi, lib
from pylab import *
from random import Random
RESOLUTIONS = {
"2160p": (3840, 2160),
"1440p": (2560, 1440),
"1080p": (1920, 1080),
"720p": (1280, 720),
"480p": (854, 480),
"360p": (640, 360),
"240p": (426, 240)... | 34.693878 | 113 | 0.627059 | 486 | 3,400 | 4.281893 | 0.343621 | 0.034599 | 0.065353 | 0.030754 | 0.092263 | 0.055742 | 0.055742 | 0.024027 | 0.024027 | 0 | 0 | 0.059901 | 0.229118 | 3,400 | 97 | 114 | 35.051546 | 0.734071 | 0.024706 | 0 | 0 | 0 | 0 | 0.134058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.075 | 0 | 0.1125 | 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 |
8accb038864b63aa2e837e9fa4c1312771a520cd | 1,238 | py | Python | tests/mqtt/test_subscribe.py | smurfix/hbmqtt | 914440cd18b43fbe56496a73bb1259132811c539 | [
"MIT"
] | null | null | null | tests/mqtt/test_subscribe.py | smurfix/hbmqtt | 914440cd18b43fbe56496a73bb1259132811c539 | [
"MIT"
] | null | null | null | tests/mqtt/test_subscribe.py | smurfix/hbmqtt | 914440cd18b43fbe56496a73bb1259132811c539 | [
"MIT"
] | null | null | null | # Copyright (c) 2015 Nicolas JOUANIN
#
# See the file license.txt for copying permission.
import anyio
import unittest
from hbmqtt.mqtt.subscribe import SubscribePacket, SubscribePayload
from hbmqtt.mqtt.packet import PacketIdVariableHeader
from hbmqtt.mqtt.constants import QOS_1, QOS_2
from hbmqtt.adapters import Buf... | 35.371429 | 83 | 0.671244 | 156 | 1,238 | 5.230769 | 0.410256 | 0.091912 | 0.051471 | 0.029412 | 0.144608 | 0.07598 | 0.07598 | 0.07598 | 0.07598 | 0.07598 | 0 | 0.051653 | 0.218094 | 1,238 | 34 | 84 | 36.411765 | 0.791322 | 0.067044 | 0 | 0 | 0 | 0.074074 | 0.090356 | 0.079931 | 0 | 0 | 0 | 0 | 0.185185 | 1 | 0.074074 | false | 0 | 0.222222 | 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 |
8ace9182901a299fe90834f06095914657f35b9c | 8,392 | py | Python | examples/cmrc2018_example/main.trainer.py | fangd123/TextBrewer | 866f4363d9bd964f00aa60b0db5e9252a7905448 | [
"Apache-2.0"
] | 1,121 | 2020-03-02T02:24:00.000Z | 2022-03-31T06:33:49.000Z | examples/cmrc2018_example/main.trainer.py | fangd123/TextBrewer | 866f4363d9bd964f00aa60b0db5e9252a7905448 | [
"Apache-2.0"
] | 85 | 2020-03-04T09:46:17.000Z | 2022-03-30T09:33:35.000Z | examples/cmrc2018_example/main.trainer.py | fangd123/TextBrewer | 866f4363d9bd964f00aa60b0db5e9252a7905448 | [
"Apache-2.0"
] | 200 | 2020-03-02T07:23:21.000Z | 2022-03-30T08:26:24.000Z | import logging
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
datefmt='%Y/%m/%d %H:%M:%S',
level=logging.INFO,
)
logger = logging.getLogger("Main")
import os,random
import numpy as np
import torch
from processing import convert_examples_to_features, read_squad_exam... | 45.362162 | 130 | 0.674094 | 1,101 | 8,392 | 4.825613 | 0.214351 | 0.013552 | 0.020704 | 0.012422 | 0.214944 | 0.153962 | 0.130247 | 0.125353 | 0.118389 | 0.095615 | 0 | 0.005165 | 0.23868 | 8,392 | 184 | 131 | 45.608696 | 0.82642 | 0.018232 | 0 | 0.074324 | 0 | 0 | 0.064335 | 0.005849 | 0 | 0 | 0 | 0 | 0.027027 | 1 | 0.013514 | false | 0 | 0.101351 | 0 | 0.121622 | 0.006757 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ad1153bc4951b73c09bcd9a5a044f2aeefb38fb | 13,832 | py | Python | gym/gym/benchmarks/__init__.py | youngwoon/DnC-RL-Tensorflow | 02dc2750fe301a01e3bd68b1e56fc7fd754c2f3f | [
"MIT"
] | 9 | 2019-02-01T22:45:57.000Z | 2022-01-08T16:13:24.000Z | gym/gym/benchmarks/__init__.py | youngwoon/DnC-RL-Tensorflow | 02dc2750fe301a01e3bd68b1e56fc7fd754c2f3f | [
"MIT"
] | null | null | null | gym/gym/benchmarks/__init__.py | youngwoon/DnC-RL-Tensorflow | 02dc2750fe301a01e3bd68b1e56fc7fd754c2f3f | [
"MIT"
] | 1 | 2020-04-07T20:09:48.000Z | 2020-04-07T20:09:48.000Z | # EXPERIMENTAL: all may be removed soon
from gym.benchmarks import scoring
from gym.benchmarks.registration import benchmark_spec, register_benchmark, registry, register_benchmark_view # imports used elsewhere
register_benchmark(
id='Atari200M',
scorer=scoring.TotalReward(),
name='Atari200M',
view_gr... | 28.286299 | 135 | 0.510049 | 1,307 | 13,832 | 5.193573 | 0.159908 | 0.041249 | 0.031821 | 0.08957 | 0.681791 | 0.613583 | 0.574396 | 0.478344 | 0.36152 | 0.315262 | 0 | 0.097037 | 0.343623 | 13,832 | 488 | 136 | 28.344262 | 0.650622 | 0.008603 | 0 | 0.558887 | 0 | 0 | 0.34289 | 0.049318 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.004283 | 0 | 0.004283 | 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 |
8ad19946c7489c1b3a99e589e195e1b73244786f | 9,538 | py | Python | hypnettorch/data/timeseries/preprocess_audioset.py | pennfranc/hypnettorch | 69d4c455028289ebe3d040af0955d909a9fef3ae | [
"Apache-2.0"
] | 31 | 2021-10-20T19:38:41.000Z | 2022-03-28T08:23:32.000Z | hypnettorch/data/timeseries/preprocess_audioset.py | pennfranc/hypnettorch | 69d4c455028289ebe3d040af0955d909a9fef3ae | [
"Apache-2.0"
] | 2 | 2022-02-14T08:25:43.000Z | 2022-03-26T18:10:52.000Z | hypnettorch/data/timeseries/preprocess_audioset.py | pennfranc/hypnettorch | 69d4c455028289ebe3d040af0955d909a9fef3ae | [
"Apache-2.0"
] | 5 | 2021-11-04T10:10:29.000Z | 2022-03-21T09:00:22.000Z | #!/usr/bin/env python3
# Copyright 2020 Benjamin Ehret
#
# 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 ... | 32.889655 | 80 | 0.68463 | 1,478 | 9,538 | 4.29161 | 0.257781 | 0.014189 | 0.008513 | 0.011036 | 0.165379 | 0.12297 | 0.103106 | 0.097115 | 0.097115 | 0.090809 | 0 | 0.014708 | 0.215873 | 9,538 | 289 | 81 | 33.00346 | 0.8334 | 0.461732 | 0 | 0.145985 | 0 | 0 | 0.084313 | 0.01754 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007299 | false | 0 | 0.043796 | 0 | 0.058394 | 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 |
8ad1bc3d3021f0317b2b318ccf03355bd2585dd4 | 13,844 | py | Python | Posts/viewsAPI.py | CMPUT404-Fa21-Organization/CMPUT404-Project-Social-Distribution | 63c0ba2a03f0b462e3673ce7a4bf6bae7999440c | [
"Apache-2.0"
] | 3 | 2021-12-11T13:43:56.000Z | 2022-03-31T02:36:05.000Z | Posts/viewsAPI.py | CMPUT404-Fa21-Organization/CMPUT404-Project-Social-Distribution | 63c0ba2a03f0b462e3673ce7a4bf6bae7999440c | [
"Apache-2.0"
] | 9 | 2021-10-01T22:46:57.000Z | 2021-12-16T18:01:31.000Z | Posts/viewsAPI.py | CMPUT404-Fa21-Organization/CMPUT404-Project-Social-Distribution | 63c0ba2a03f0b462e3673ce7a4bf6bae7999440c | [
"Apache-2.0"
] | 2 | 2021-12-16T16:37:10.000Z | 2021-12-16T20:30:12.000Z | from django.conf import settings
from django.core import serializers
from django.utils import timezone
import requests
from Posts.commentModel import Comments
#from Posts.commentView import add_Comment
from rest_framework import status
from rest_framework.decorators import api_view, authentication_classes, permission_c... | 38.455556 | 306 | 0.621063 | 1,571 | 13,844 | 5.318269 | 0.126034 | 0.020108 | 0.031837 | 0.016158 | 0.598444 | 0.523639 | 0.495871 | 0.464512 | 0.429084 | 0.413645 | 0 | 0.014097 | 0.262135 | 13,844 | 359 | 307 | 38.562674 | 0.803818 | 0.006862 | 0 | 0.572816 | 0 | 0 | 0.075904 | 0.004221 | 0 | 0 | 0 | 0 | 0.003236 | 1 | 0.02589 | false | 0 | 0.084142 | 0 | 0.145631 | 0.035599 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
8ad1ee45a7daa21c8e394ff77552f61ad841514d | 3,753 | py | Python | workers/tests/test_array_element.py | Open-EO/openeo-sentinelhub-python-driver | 92f990f098065ffb658eba6dca291dd1d5fc70f2 | [
"Apache-2.0"
] | 2 | 2019-12-03T12:49:47.000Z | 2020-10-25T20:14:39.000Z | workers/tests/test_array_element.py | Open-EO/openeo-sentinelhub-python-driver | 92f990f098065ffb658eba6dca291dd1d5fc70f2 | [
"Apache-2.0"
] | 5 | 2019-12-03T10:32:48.000Z | 2020-10-09T13:07:39.000Z | workers/tests/test_array_element.py | Open-EO/openeo-sentinelhub-python-driver | 92f990f098065ffb658eba6dca291dd1d5fc70f2 | [
"Apache-2.0"
] | 4 | 2020-03-06T14:51:52.000Z | 2020-11-24T10:30:18.000Z | import pytest
import sys, os
import xarray as xr
import numpy as np
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import process
from process._common import ProcessArgumentInvalid, ProcessArgumentRequired
@pytest.fixture
def generate_data():
def _construct(
data = [[[[0... | 40.354839 | 145 | 0.662137 | 509 | 3,753 | 4.650295 | 0.194499 | 0.081115 | 0.104352 | 0.098859 | 0.434728 | 0.381073 | 0.291508 | 0.234052 | 0.184622 | 0.184622 | 0 | 0.030547 | 0.17133 | 3,753 | 92 | 146 | 40.793478 | 0.730547 | 0.090861 | 0 | 0.081967 | 0 | 0 | 0.095253 | 0.041654 | 0 | 0 | 0 | 0 | 0.065574 | 1 | 0.131148 | false | 0 | 0.098361 | 0 | 0.311475 | 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 |
8ad263d1cb0c4c04603f5f92c314ea18d8d73526 | 1,681 | py | Python | python/ray/autoscaler/tags.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 21,382 | 2016-09-26T23:12:52.000Z | 2022-03-31T21:47:45.000Z | python/ray/autoscaler/tags.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 19,689 | 2016-09-17T08:21:25.000Z | 2022-03-31T23:59:30.000Z | python/ray/autoscaler/tags.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 4,114 | 2016-09-23T18:54:01.000Z | 2022-03-31T15:07:32.000Z | """The Ray autoscaler uses tags/labels to associate metadata with instances."""
# Tag for the name of the node
TAG_RAY_NODE_NAME = "ray-node-name"
# Tag for the kind of node (e.g. Head, Worker). For legacy reasons, the tag
# value says 'type' instead of 'kind'.
TAG_RAY_NODE_KIND = "ray-node-type"
NODE_KIND_HEAD = "he... | 40.02381 | 79 | 0.781678 | 279 | 1,681 | 4.512545 | 0.308244 | 0.057188 | 0.028594 | 0.023828 | 0.047657 | 0.047657 | 0 | 0 | 0 | 0 | 0 | 0.000686 | 0.132659 | 1,681 | 41 | 80 | 41 | 0.862826 | 0.518739 | 0 | 0 | 0 | 0 | 0.353165 | 0.096203 | 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 |
8ad69b4670dd35b6830ae32d5cbb71d9e32dff45 | 1,427 | py | Python | tests/test_models/test_components/test_discriminators/test_light_cnn.py | ChenShuwei1001/mmediting | 285e629fe9da8a13c7538a6bb3347e8870cd7201 | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_components/test_discriminators/test_light_cnn.py | ChenShuwei1001/mmediting | 285e629fe9da8a13c7538a6bb3347e8870cd7201 | [
"Apache-2.0"
] | 1 | 2021-08-05T16:20:39.000Z | 2021-08-05T16:20:39.000Z | tests/test_models/test_components/test_discriminators/test_light_cnn.py | ChenShuwei1001/mmediting | 285e629fe9da8a13c7538a6bb3347e8870cd7201 | [
"Apache-2.0"
] | null | null | null | import pytest
import torch
from mmedit.models.builder import build_component
from mmedit.models.components.discriminators.light_cnn import MaxFeature
def test_max_feature():
# cpu
conv2d = MaxFeature(16, 16, filter_type='conv2d')
x1 = torch.rand(3, 16, 16, 16)
y1 = conv2d(x1)
assert y1.shape == (... | 27.980392 | 72 | 0.613174 | 196 | 1,427 | 4.377551 | 0.316327 | 0.037296 | 0.037296 | 0.024476 | 0.356643 | 0.191142 | 0.132867 | 0.132867 | 0.132867 | 0.06993 | 0 | 0.077286 | 0.256482 | 1,427 | 50 | 73 | 28.54 | 0.731385 | 0.060967 | 0 | 0.368421 | 0 | 0 | 0.019505 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.157895 | 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 |
8ad728c2bc84ac4630b400804d13c8940597431e | 4,727 | py | Python | src/consumer.py | ssichynskyi/web_metrics_posting | 26f104d2fdf31c2d029bac5a4d5337db42df86f5 | [
"MIT"
] | null | null | null | src/consumer.py | ssichynskyi/web_metrics_posting | 26f104d2fdf31c2d029bac5a4d5337db42df86f5 | [
"MIT"
] | null | null | null | src/consumer.py | ssichynskyi/web_metrics_posting | 26f104d2fdf31c2d029bac5a4d5337db42df86f5 | [
"MIT"
] | null | null | null | import json
import logging
from typing import Iterable
from kafka import KafkaConsumer
log = logging.getLogger(__name__)
log.addHandler(logging.NullHandler())
# I've used this example:
# https://github.com/aiven/aiven-examples/blob/master/kafka/python/consumer_example.py
# as well as Aiven Kafka tutorials
class ... | 36.643411 | 97 | 0.610324 | 515 | 4,727 | 5.363107 | 0.401942 | 0.050688 | 0.06517 | 0.036206 | 0.135409 | 0.084721 | 0.034033 | 0.034033 | 0 | 0 | 0 | 0.001525 | 0.306325 | 4,727 | 128 | 98 | 36.929688 | 0.840805 | 0.338058 | 0 | 0.090909 | 0 | 0 | 0.199576 | 0.068527 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0.030303 | 0.060606 | 0 | 0.19697 | 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 |