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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bcc019e1e7277f852d55bb225dc74bb333185aa3 | 660 | py | Python | tests/test_buffers.py | romanchyla/CSPatterns | d9627297aabce1ab648f4a4cdbe9882527add138 | [
"MIT"
] | null | null | null | tests/test_buffers.py | romanchyla/CSPatterns | d9627297aabce1ab648f4a4cdbe9882527add138 | [
"MIT"
] | null | null | null | tests/test_buffers.py | romanchyla/CSPatterns | d9627297aabce1ab648f4a4cdbe9882527add138 | [
"MIT"
] | null | null | null | from cspatterns.datastructures import buffer
def test_circular_buffer():
b = buffer.CircularBuffer(2, ['n'])
assert len(b.next) == 2
assert b.n is None
b = buffer.CircularBuffer.create(2, attrs=['n', 'fib'])
curr = b
out = [0, 1, ]
curr.prev[-2].n = 0
curr.prev[-2].fib = 1
curr... | 25.384615 | 66 | 0.551515 | 109 | 660 | 3.321101 | 0.40367 | 0.176796 | 0.124309 | 0.082873 | 0.082873 | 0.082873 | 0 | 0 | 0 | 0 | 0 | 0.089583 | 0.272727 | 660 | 26 | 66 | 25.384615 | 0.664583 | 0.05303 | 0 | 0 | 0 | 0 | 0.008013 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.111111 | 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 |
bcc1d17c27a82c381571bf91c586033e374ec7d9 | 1,741 | py | Python | code_examples/plotting_data/hexbin.py | ezcitron/BasemapTutorial | 0db9248b430d39518bdfdb25d713145be4eb966a | [
"CC0-1.0"
] | 99 | 2015-01-14T21:20:48.000Z | 2022-01-25T10:38:37.000Z | code_examples/plotting_data/hexbin.py | ezcitron/BasemapTutorial | 0db9248b430d39518bdfdb25d713145be4eb966a | [
"CC0-1.0"
] | 1 | 2017-08-31T07:02:20.000Z | 2017-08-31T07:02:20.000Z | code_examples/plotting_data/hexbin.py | ezcitron/BasemapTutorial | 0db9248b430d39518bdfdb25d713145be4eb966a | [
"CC0-1.0"
] | 68 | 2015-01-14T21:21:01.000Z | 2022-01-29T14:53:38.000Z | from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import matplotlib.colors as colors
from numpy import array
from numpy import max
map = Basemap(llcrnrlon=-0.5,llcrnrlat=39.8,urcrnrlon=4.,urcrnrlat=43.,
resolution='i', projection='tmerc', lat_0 = 39.5, lon_0 = 1)
map.readshapefil... | 23.527027 | 139 | 0.687536 | 246 | 1,741 | 4.813008 | 0.353659 | 0.067568 | 0.092905 | 0.11402 | 0.416385 | 0.346284 | 0.346284 | 0.326014 | 0.326014 | 0.326014 | 0 | 0.038058 | 0.124641 | 1,741 | 74 | 140 | 23.527027 | 0.738845 | 0 | 0 | 0.195122 | 0 | 0 | 0.175086 | 0.072331 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.121951 | 0 | 0.121951 | 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 |
bcc3dcd13da8bfacff9f3f45c797b5dd285e8744 | 4,031 | py | Python | src/extractors/emojiextractor.py | chmduquesne/rofimoji | 9abdc0a8db1b166bb30da994c4aadb7baf91df2d | [
"MIT"
] | 574 | 2017-10-29T18:04:31.000Z | 2022-03-30T23:34:34.000Z | src/extractors/emojiextractor.py | chmduquesne/rofimoji | 9abdc0a8db1b166bb30da994c4aadb7baf91df2d | [
"MIT"
] | 104 | 2017-11-02T08:24:29.000Z | 2022-03-29T02:39:58.000Z | src/extractors/emojiextractor.py | chmduquesne/rofimoji | 9abdc0a8db1b166bb30da994c4aadb7baf91df2d | [
"MIT"
] | 53 | 2017-11-01T22:38:02.000Z | 2022-02-14T09:20:36.000Z | import html
from collections import namedtuple
from pathlib import Path
from typing import List, Dict
import requests
from bs4 import BeautifulSoup
from lxml import etree
from lxml.etree import XPath
Emoji = namedtuple('Emoji', 'char name')
class EmojiExtractor(object):
def __init__(self):
self.all_emo... | 37.324074 | 159 | 0.607045 | 473 | 4,031 | 5.071882 | 0.30444 | 0.052522 | 0.018758 | 0.02501 | 0.082534 | 0.030013 | 0.030013 | 0 | 0 | 0 | 0 | 0.008696 | 0.258249 | 4,031 | 107 | 160 | 37.672897 | 0.793311 | 0.017614 | 0 | 0.107143 | 0 | 0.047619 | 0.223711 | 0.055106 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119048 | false | 0 | 0.095238 | 0.011905 | 0.309524 | 0.059524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcc4fcfb44a442a2523238a8484bf80417464006 | 5,084 | py | Python | tests/integration_tests/security/test_seccomp.py | gregbdunn/firecracker | e7bc0a1f9b70deaa7bfd9eb641e0c7982fe63e68 | [
"Apache-2.0"
] | 2 | 2018-12-20T05:40:43.000Z | 2018-12-20T05:59:58.000Z | tests/integration_tests/security/test_seccomp.py | gregbdunn/firecracker | e7bc0a1f9b70deaa7bfd9eb641e0c7982fe63e68 | [
"Apache-2.0"
] | null | null | null | tests/integration_tests/security/test_seccomp.py | gregbdunn/firecracker | e7bc0a1f9b70deaa7bfd9eb641e0c7982fe63e68 | [
"Apache-2.0"
] | 1 | 2018-11-27T08:50:51.000Z | 2018-11-27T08:50:51.000Z | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""Tests that the seccomp filters don't let blacklisted syscalls through."""
import os
from subprocess import run
import pytest
import host_tools.cargo_build as host # pylint:disable=import-error
@pyte... | 29.387283 | 79 | 0.696302 | 625 | 5,084 | 5.3712 | 0.2 | 0.041108 | 0.035746 | 0.045874 | 0.65922 | 0.637176 | 0.54513 | 0.473339 | 0.445934 | 0.445934 | 0 | 0.002795 | 0.225806 | 5,084 | 172 | 80 | 29.55814 | 0.850102 | 0.285995 | 0 | 0.455446 | 0 | 0 | 0.083215 | 0.042318 | 0 | 0 | 0 | 0 | 0.079208 | 1 | 0.049505 | false | 0 | 0.039604 | 0 | 0.089109 | 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 |
bcc6795e9da5c859c6308d7dfd37a7f5806dbb41 | 3,714 | py | Python | webapp/gen_graphs.py | bfitzy2142/NET4901-SP | 908c13332a5356bd6a59879b8d78af76432b807c | [
"MIT"
] | 3 | 2019-08-04T03:09:02.000Z | 2020-06-08T15:48:36.000Z | webapp/gen_graphs.py | bfitzy2142/NET4901-SP | 908c13332a5356bd6a59879b8d78af76432b807c | [
"MIT"
] | 3 | 2019-09-06T08:30:21.000Z | 2020-06-30T03:24:56.000Z | webapp/gen_graphs.py | bfitzy2142/NET4901-SP-SDLENS | 908c13332a5356bd6a59879b8d78af76432b807c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
@author: Sam Cook
MySql Parser for graphical presentation
"""
import mysql.connector
import datetime
from mysql.connector import Error
from datetime import datetime, timedelta
import json
class sql_graph_info():
def __init__(self, node, interface, time, sql_creds, db):
"""
... | 34.71028 | 72 | 0.53608 | 430 | 3,714 | 4.423256 | 0.3 | 0.037855 | 0.053628 | 0.063091 | 0.120925 | 0.120925 | 0.014721 | 0 | 0 | 0 | 0 | 0.010915 | 0.358643 | 3,714 | 106 | 73 | 35.037736 | 0.787573 | 0.159666 | 0 | 0 | 0 | 0 | 0.117529 | 0.013022 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027397 | false | 0.013699 | 0.068493 | 0 | 0.123288 | 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 |
bcca1a19ecd367ba4725d3ef774b347cae61be62 | 830 | py | Python | scqubits/tests/test_fluxqubit.py | dmtvanzanten/scqubits | d4d8a0f71ac91077594a6173348279aa490ed048 | [
"BSD-3-Clause"
] | null | null | null | scqubits/tests/test_fluxqubit.py | dmtvanzanten/scqubits | d4d8a0f71ac91077594a6173348279aa490ed048 | [
"BSD-3-Clause"
] | null | null | null | scqubits/tests/test_fluxqubit.py | dmtvanzanten/scqubits | d4d8a0f71ac91077594a6173348279aa490ed048 | [
"BSD-3-Clause"
] | null | null | null | # test_fluxqubit.py
# meant to be run with 'pytest'
#
# This file is part of scqubits.
#
# Copyright (c) 2019 and later, Jens Koch and Peter Groszkowski
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
... | 28.62069 | 76 | 0.622892 | 110 | 830 | 4.590909 | 0.663636 | 0.039604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024578 | 0.215663 | 830 | 28 | 77 | 29.642857 | 0.751152 | 0.360241 | 0 | 0 | 0 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcca9310b776373045a4dd0e28575a2063a3d591 | 1,379 | py | Python | PhysicsTools/PatAlgos/python/producersLayer1/pfParticleProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | PhysicsTools/PatAlgos/python/producersLayer1/pfParticleProducer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | PhysicsTools/PatAlgos/python/producersLayer1/pfParticleProducer_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
patPFParticles = cms.EDProducer("PATPFParticleProducer",
# General configurables
pfCandidateSource = cms.InputTag("noJet"),
# MC matching configurables
addGenMatch = cms.bool(False),
genParticleMatch = cms.InputTag(""), ## particles source to be used for ... | 29.340426 | 106 | 0.585207 | 135 | 1,379 | 5.977778 | 0.555556 | 0.060719 | 0.05948 | 0.064436 | 0.123916 | 0.123916 | 0 | 0 | 0 | 0 | 0 | 0 | 0.315446 | 1,379 | 46 | 107 | 29.978261 | 0.854873 | 0.29079 | 0 | 0.333333 | 0 | 0 | 0.027168 | 0.021944 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.037037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcccafa97336dc1ded4587f29664425a01e6d815 | 28,365 | py | Python | python/GafferArnold/ArnoldTextureBake.py | medubelko/gaffer | 12c5994c21dcfb8b13b5b86efbcecdcb29202b33 | [
"BSD-3-Clause"
] | 1 | 2019-12-02T02:31:25.000Z | 2019-12-02T02:31:25.000Z | python/GafferArnold/ArnoldTextureBake.py | medubelko/gaffer | 12c5994c21dcfb8b13b5b86efbcecdcb29202b33 | [
"BSD-3-Clause"
] | null | null | null | python/GafferArnold/ArnoldTextureBake.py | medubelko/gaffer | 12c5994c21dcfb8b13b5b86efbcecdcb29202b33 | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
#
# Copyright (c) 2018, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistrib... | 47.196339 | 175 | 0.692649 | 2,883 | 28,365 | 6.627818 | 0.212973 | 0.035797 | 0.013921 | 0.014287 | 0.211325 | 0.157159 | 0.10001 | 0.066517 | 0.05673 | 0.05673 | 0 | 0.003247 | 0.142323 | 28,365 | 600 | 176 | 47.275 | 0.782185 | 0.136224 | 0 | 0.069264 | 0 | 0 | 0.360552 | 0.056976 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008658 | false | 0 | 0.038961 | 0 | 0.056277 | 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 |
bccd1fa8fe336f245d1474aeb673c6c021c08a1b | 20,598 | py | Python | aea/protocols/generator/common.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | aea/protocols/generator/common.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | aea/protocols/generator/common.py | valory-xyz/agents-aea | 8f38efa96041b0156ed1ae328178e395dbabf2fc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2022 Valory AG
# Copyright 2018-2021 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | 35.636678 | 151 | 0.646373 | 2,533 | 20,598 | 5.006317 | 0.154757 | 0.019399 | 0.030282 | 0.027206 | 0.408485 | 0.332702 | 0.285388 | 0.262676 | 0.216781 | 0.193045 | 0 | 0.003535 | 0.258326 | 20,598 | 577 | 152 | 35.69844 | 0.826537 | 0.289785 | 0 | 0.230321 | 0 | 0.011662 | 0.149911 | 0.041137 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.052478 | 0 | 0.169096 | 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 |
bccd22c451ca48a6b2b63fe4d46e6f3d5177271f | 12,177 | py | Python | tests/unit/python/foglamp/services/core/api/test_backup_restore.py | vaibhav-ScaleDB/FogLAMP | 445e7a588f5ec5fcae0360b49fdc4e4de0ea2ec8 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/services/core/api/test_backup_restore.py | vaibhav-ScaleDB/FogLAMP | 445e7a588f5ec5fcae0360b49fdc4e4de0ea2ec8 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/services/core/api/test_backup_restore.py | vaibhav-ScaleDB/FogLAMP | 445e7a588f5ec5fcae0360b49fdc4e4de0ea2ec8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# FOGLAMP_BEGIN
# See: http://foglamp.readthedocs.io/
# FOGLAMP_END
import os
import asyncio
import json
from unittest.mock import MagicMock, patch
from collections import Counter
from aiohttp import web
import pytest
from foglamp.services.core import routes
from foglamp.services.core import ... | 46.834615 | 123 | 0.635214 | 1,398 | 12,177 | 5.334049 | 0.139485 | 0.030173 | 0.046265 | 0.035403 | 0.747351 | 0.686335 | 0.642484 | 0.606812 | 0.525412 | 0.525412 | 0 | 0.021977 | 0.241439 | 12,177 | 259 | 124 | 47.015444 | 0.78532 | 0.016753 | 0 | 0.400922 | 0 | 0 | 0.195283 | 0.030693 | 0 | 0 | 0 | 0 | 0.170507 | 1 | 0.018433 | false | 0 | 0.064516 | 0 | 0.119816 | 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 |
bccd4ecf3e75810f078465ed5395ba34d886f56a | 3,690 | py | Python | pyemits/core/preprocessing/dimensional_reduction.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | 6 | 2021-10-21T14:13:25.000Z | 2021-12-26T12:22:51.000Z | pyemits/core/preprocessing/dimensional_reduction.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | null | null | null | pyemits/core/preprocessing/dimensional_reduction.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | null | null | null | """
Why need dimensional reduction
The following is the use of dimensionality reduction in the data set:
• As data dimensions continue to decrease, the space required for data storage will also decrease.
• Low-dimensional data helps reduce calculation/training time.
• Some algorithms tend to perform poorly on high-dim... | 30.495868 | 217 | 0.714363 | 453 | 3,690 | 5.743929 | 0.403974 | 0.069946 | 0.076864 | 0.066872 | 0.219831 | 0.029208 | 0 | 0 | 0 | 0 | 0 | 0.010186 | 0.228455 | 3,690 | 120 | 218 | 30.75 | 0.902002 | 0.389431 | 0 | 0.356164 | 0 | 0 | 0.001337 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178082 | false | 0 | 0.164384 | 0.054795 | 0.561644 | 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 |
bccf9e77bf6eaccd18d5b5a8053e3859146a0272 | 2,727 | py | Python | scrapy/clarinetear/spiders/pagina12.py | ramiror/clarinete | 4ebf37cf9f705e04e2aad15015be12c48fe25fd3 | [
"BSD-2-Clause"
] | null | null | null | scrapy/clarinetear/spiders/pagina12.py | ramiror/clarinete | 4ebf37cf9f705e04e2aad15015be12c48fe25fd3 | [
"BSD-2-Clause"
] | null | null | null | scrapy/clarinetear/spiders/pagina12.py | ramiror/clarinete | 4ebf37cf9f705e04e2aad15015be12c48fe25fd3 | [
"BSD-2-Clause"
] | null | null | null | from datetime import datetime
import scrapy
import lxml
from lxml.html.clean import Cleaner
import re
SOURCE = 'Página 12'
LANGUAGE = 'es'
cleaner = Cleaner(allow_tags=['p', 'br', 'b', 'a', 'strong', 'i', 'em'])
class Pagina12Spider(scrapy.Spider):
name = 'pagina12'
allowed_domains = ['www.pagina12.com.ar']
... | 32.855422 | 104 | 0.521819 | 316 | 2,727 | 4.443038 | 0.417722 | 0.017094 | 0.029915 | 0.034188 | 0.145299 | 0.082621 | 0.082621 | 0.082621 | 0.082621 | 0.082621 | 0 | 0.021727 | 0.324899 | 2,727 | 82 | 105 | 33.256098 | 0.740902 | 0 | 0 | 0.083333 | 0 | 0.013889 | 0.181885 | 0.020902 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.069444 | 0 | 0.180556 | 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 |
bccfcca536c98cf3954ec419341b10079911dafc | 6,978 | py | Python | svd.py | christyc14/fyp | c63e719e383a84eb49ffa0c8bd901bfd4aef5864 | [
"MIT"
] | null | null | null | svd.py | christyc14/fyp | c63e719e383a84eb49ffa0c8bd901bfd4aef5864 | [
"MIT"
] | null | null | null | svd.py | christyc14/fyp | c63e719e383a84eb49ffa0c8bd901bfd4aef5864 | [
"MIT"
] | null | null | null | from calendar import c
from typing import Dict, List, Union
from zlib import DEF_BUF_SIZE
import json_lines
import numpy as np
import re
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.manifold import TSNE
from sklearn.preprocessing import StandardScaler
import pandas as pd
import json
from scipy.spa... | 38.131148 | 111 | 0.655775 | 894 | 6,978 | 4.894855 | 0.285235 | 0.045247 | 0.029708 | 0.028793 | 0.208181 | 0.208181 | 0.15585 | 0.134369 | 0.134369 | 0.134369 | 0 | 0.011025 | 0.207079 | 6,978 | 182 | 112 | 38.340659 | 0.779866 | 0.033104 | 0 | 0.139241 | 0 | 0.006329 | 0.126391 | 0.021213 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018987 | false | 0 | 0.094937 | 0 | 0.132911 | 0.094937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bccff1b3d6077ecdb8e86f1fedd69c5761247393 | 22,448 | py | Python | esp32/tools/flasher.py | rodgergr/pycom-micropython-sigfox | 50a31befc40a39b1e4c3513f20da968792227b0e | [
"MIT"
] | null | null | null | esp32/tools/flasher.py | rodgergr/pycom-micropython-sigfox | 50a31befc40a39b1e4c3513f20da968792227b0e | [
"MIT"
] | null | null | null | esp32/tools/flasher.py | rodgergr/pycom-micropython-sigfox | 50a31befc40a39b1e4c3513f20da968792227b0e | [
"MIT"
] | 1 | 2019-09-22T01:28:52.000Z | 2019-09-22T01:28:52.000Z | #!/usr/bin/env python
#
# Copyright (c) 2018, Pycom Limited.
#
# This software is licensed under the GNU GPL version 3 or any
# later version, with permitted additional terms. For more information
# see the Pycom Licence v1.0 document supplied with this file, or
# available at https://www.pycom.io/opensource/licensing
... | 42.116323 | 286 | 0.513587 | 2,506 | 22,448 | 4.442538 | 0.135674 | 0.082997 | 0.084074 | 0.039522 | 0.659481 | 0.625438 | 0.589149 | 0.552052 | 0.521513 | 0.51262 | 0 | 0.012657 | 0.30662 | 22,448 | 532 | 287 | 42.195489 | 0.702602 | 0.07239 | 0 | 0.608076 | 0 | 0.004751 | 0.252345 | 0.097041 | 0 | 0 | 0.002357 | 0 | 0 | 1 | 0.030879 | false | 0 | 0.054632 | 0.002375 | 0.087886 | 0.180523 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bccff8756b8fd9c49c849a5ee7e86c1a5271fe95 | 2,315 | py | Python | hknweb/events/tests/models/utils.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | hknweb/events/tests/models/utils.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | hknweb/events/tests/models/utils.py | jyxzhang/hknweb | a01ffd8587859bf63c46213be6a0c8b87164a5c2 | [
"MIT"
] | null | null | null | import datetime
from django.utils import timezone
from django.contrib.auth.models import User
from hknweb.events.models import Event, EventType, Rsvp
class ModelFactory:
@staticmethod
def create_user(**kwargs):
default_kwargs = {
"username": "default username",
}
kwargs =... | 28.9375 | 88 | 0.581425 | 234 | 2,315 | 5.508547 | 0.226496 | 0.069822 | 0.081458 | 0.096199 | 0.280838 | 0.183863 | 0.152832 | 0 | 0 | 0 | 0 | 0.003149 | 0.314039 | 2,315 | 79 | 89 | 29.303797 | 0.808564 | 0 | 0 | 0.179104 | 0 | 0 | 0.085097 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074627 | false | 0 | 0.059701 | 0 | 0.223881 | 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 |
bcd22bd32e41749d160e83a36693fbb03e02a7c0 | 2,232 | py | Python | algorithms/329. Longest Increasing Path in a Matrix.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | 1 | 2020-12-02T13:54:30.000Z | 2020-12-02T13:54:30.000Z | algorithms/329. Longest Increasing Path in a Matrix.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | algorithms/329. Longest Increasing Path in a Matrix.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | """
1. Clarification
2. Possible solutions
- dfs + memoization
- Topological sort
3. Coding
4. Tests
"""
# T=O(m*n), S=O(m*n)
from functools import lru_cache
class Solution:
DIRS = [(-1, 0), (1, 0), (0, -1), (0, 1)]
def longestIncreasingPath(self, matrix: List[List[int]]) -> int:
if not mat... | 30.162162 | 111 | 0.471774 | 283 | 2,232 | 3.706714 | 0.222615 | 0.114395 | 0.011439 | 0.025739 | 0.5796 | 0.5796 | 0.5796 | 0.5796 | 0.480458 | 0.480458 | 0 | 0.029696 | 0.396505 | 2,232 | 73 | 112 | 30.575342 | 0.749072 | 0.064068 | 0 | 0.510204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.020408 | 0 | 0.265306 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcd344e1483580a8d86580469eef57c0ac31bfc7 | 1,511 | py | Python | cocos2d/tools/coding-style/tailing-spaces.py | NIKEA-SOFT/TestGame | 04f13e5f1324bca9f1e47f02037ea1eddd3bcc8f | [
"MIT"
] | 898 | 2020-01-09T12:03:08.000Z | 2022-03-31T07:59:46.000Z | cocos2d/tools/coding-style/tailing-spaces.py | NIKEA-SOFT/TestGame | 04f13e5f1324bca9f1e47f02037ea1eddd3bcc8f | [
"MIT"
] | 172 | 2020-02-21T08:56:42.000Z | 2021-05-12T03:18:40.000Z | cocos2d/tools/coding-style/tailing-spaces.py | NIKEA-SOFT/TestGame | 04f13e5f1324bca9f1e47f02037ea1eddd3bcc8f | [
"MIT"
] | 186 | 2020-01-13T09:34:30.000Z | 2022-03-22T04:48:48.000Z | #!/usr/bin/env python
#coding=utf-8
'''
Remove tailing whitespaces and ensures one and only one empty ending line.
'''
import os, re
def scan(*dirs, **kwargs):
files = []
extensions = kwargs['extensions'] if kwargs.has_key('extensions') else None
excludes = kwargs['excludes'] if kwargs.has_key('excludes') else... | 24.370968 | 85 | 0.608868 | 221 | 1,511 | 4.126697 | 0.40724 | 0.065789 | 0.076754 | 0.092105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003376 | 0.215751 | 1,511 | 61 | 86 | 24.770492 | 0.766245 | 0.070814 | 0 | 0 | 0 | 0 | 0.107527 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.023256 | 0 | 0.139535 | 0.046512 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcd3b0b0dedcabbec5fd0840549ab45783c9eb2d | 4,096 | py | Python | three.py/TestPostprocessing-8Bit.py | Michael-Pascale/three.py | 9912f5f850245fb9456a25b6737e12290ae54a2d | [
"MIT"
] | null | null | null | three.py/TestPostprocessing-8Bit.py | Michael-Pascale/three.py | 9912f5f850245fb9456a25b6737e12290ae54a2d | [
"MIT"
] | null | null | null | three.py/TestPostprocessing-8Bit.py | Michael-Pascale/three.py | 9912f5f850245fb9456a25b6737e12290ae54a2d | [
"MIT"
] | null | null | null | from core import *
from cameras import *
from geometry import *
from material import *
from lights import *
class TestPostprocessing2(Base):
def initialize(self):
self.setWindowTitle('Pixellation and Reduced Color Palette')
self.setWindowSize(1024,768)
self.renderer = Rendere... | 32 | 99 | 0.577148 | 430 | 4,096 | 5.490698 | 0.351163 | 0.012706 | 0.015248 | 0.015248 | 0.109276 | 0.102499 | 0.076239 | 0.04659 | 0.04659 | 0.04659 | 0 | 0.043325 | 0.306885 | 4,096 | 127 | 100 | 32.251969 | 0.788306 | 0.062012 | 0 | 0.045455 | 0 | 0 | 0.324465 | 0.016954 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.056818 | 0 | 0.102273 | 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 |
bcd61a8f67cde91f10cbb1a9264485fd9ef2e8b8 | 3,205 | py | Python | myvenv/lib/python3.6/site-packages/nltk/test/unit/test_senna.py | catb0y/twitter_feeling | 9092a26f2554bbf6b14b33d797abaffa48cda99c | [
"MIT"
] | 69 | 2020-03-31T06:40:17.000Z | 2022-02-25T11:48:18.000Z | myvenv/lib/python3.6/site-packages/nltk/test/unit/test_senna.py | catb0y/twitter_feeling | 9092a26f2554bbf6b14b33d797abaffa48cda99c | [
"MIT"
] | 11 | 2019-12-26T17:21:03.000Z | 2022-03-21T22:17:07.000Z | myvenv/lib/python3.6/site-packages/nltk/test/unit/test_senna.py | catb0y/twitter_feeling | 9092a26f2554bbf6b14b33d797abaffa48cda99c | [
"MIT"
] | 28 | 2020-04-15T15:24:17.000Z | 2021-12-26T04:05:02.000Z | # -*- coding: utf-8 -*-
"""
Unit tests for Senna
"""
from __future__ import unicode_literals
from os import environ, path, sep
import logging
import unittest
from nltk.classify import Senna
from nltk.tag import SennaTagger, SennaChunkTagger, SennaNERTagger
# Set Senna executable path for tests if it is not specifie... | 42.733333 | 108 | 0.597504 | 397 | 3,205 | 4.685139 | 0.287154 | 0.080645 | 0.08172 | 0.040323 | 0.282796 | 0.188172 | 0.188172 | 0.188172 | 0.188172 | 0.121505 | 0 | 0.01018 | 0.20312 | 3,205 | 74 | 109 | 43.310811 | 0.718089 | 0.067083 | 0 | 0.153846 | 0 | 0 | 0.219825 | 0.00708 | 0 | 0 | 0 | 0 | 0.115385 | 1 | 0.076923 | false | 0 | 0.115385 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcd716fdc72869755eef1e517937f6675edfef9d | 8,191 | py | Python | eoxserver/services/opensearch/v11/description.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 25 | 2015-08-10T19:34:34.000Z | 2021-02-05T08:28:01.000Z | eoxserver/services/opensearch/v11/description.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 153 | 2015-01-20T08:35:49.000Z | 2022-03-16T11:00:56.000Z | eoxserver/services/opensearch/v11/description.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 10 | 2015-01-23T15:48:30.000Z | 2021-01-21T15:41:18.000Z | #-------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2015 EOX IT Services GmbH
#
# Permission... | 37.746544 | 81 | 0.580393 | 827 | 8,191 | 5.654172 | 0.307134 | 0.016467 | 0.011976 | 0.019889 | 0.078914 | 0.037211 | 0 | 0 | 0 | 0 | 0 | 0.006554 | 0.29215 | 8,191 | 216 | 82 | 37.921296 | 0.799931 | 0.18911 | 0 | 0.093168 | 0 | 0 | 0.118031 | 0.018077 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031056 | false | 0 | 0.074534 | 0 | 0.149068 | 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 |
bcda0fb17ff31d81f09ba63207547e8568fa2ae6 | 2,085 | py | Python | lab1/text_recognizer/models/mlp.py | Agyey/fsdl-text-recognizer-2021-labs | 4bd85042ab9f6decd78849bb655c197cc13ffc11 | [
"MIT"
] | null | null | null | lab1/text_recognizer/models/mlp.py | Agyey/fsdl-text-recognizer-2021-labs | 4bd85042ab9f6decd78849bb655c197cc13ffc11 | [
"MIT"
] | null | null | null | lab1/text_recognizer/models/mlp.py | Agyey/fsdl-text-recognizer-2021-labs | 4bd85042ab9f6decd78849bb655c197cc13ffc11 | [
"MIT"
] | null | null | null | from typing import Any, Dict
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
FC1_DIM = 1024
FC2_DIM = 128
class MLP(nn.Module):
"""Simple MLP suitable for recognizing single characters."""
def __init__(
self,
data_config: Dict[str, Any],... | 29.366197 | 95 | 0.533813 | 284 | 2,085 | 3.788732 | 0.285211 | 0.018587 | 0.033457 | 0.033457 | 0.139405 | 0.072491 | 0.072491 | 0.072491 | 0.072491 | 0.072491 | 0 | 0.034207 | 0.341007 | 2,085 | 70 | 96 | 29.785714 | 0.748908 | 0.025899 | 0 | 0.135593 | 0 | 0 | 0.02321 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050847 | false | 0 | 0.101695 | 0 | 0.20339 | 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 |
bcda1861cc6349c05142c05367f155b32d44ad1c | 979 | py | Python | frontend/widgets/button.py | AzoeDesarrollos/PyMavisDatabase | bfcd0557f63a4d8a73f0f8e891c47b47a1de1b45 | [
"MIT"
] | null | null | null | frontend/widgets/button.py | AzoeDesarrollos/PyMavisDatabase | bfcd0557f63a4d8a73f0f8e891c47b47a1de1b45 | [
"MIT"
] | 2 | 2019-10-05T14:20:11.000Z | 2019-10-05T14:22:31.000Z | frontend/widgets/button.py | AzoeDesarrollos/PyMavisDatabase | bfcd0557f63a4d8a73f0f8e891c47b47a1de1b45 | [
"MIT"
] | null | null | null | from pygame import Surface, font
from .basewidget import BaseWidget
from frontend import Renderer, WidgetHandler
class Button(BaseWidget):
action = None
def __init__(self, x, y, texto, action=None):
self.f = font.SysFont('Verdana', 16)
imagen = self.crear(texto)
rect = imagen.get_rect... | 27.971429 | 74 | 0.592441 | 133 | 979 | 4.263158 | 0.406015 | 0.042328 | 0.045855 | 0.049383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058156 | 0.279877 | 979 | 34 | 75 | 28.794118 | 0.746099 | 0 | 0 | 0 | 0 | 0 | 0.00715 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.185185 | false | 0.037037 | 0.111111 | 0 | 0.407407 | 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 |
bcda32ab85ecef62e60d41fc5f944271b774ca47 | 709 | py | Python | tensorflow_rnn/mnist_lstm.py | naoki009/samples | dac3bbddbd06374c39768cbe17fefd0110fe316f | [
"BSD-2-Clause"
] | null | null | null | tensorflow_rnn/mnist_lstm.py | naoki009/samples | dac3bbddbd06374c39768cbe17fefd0110fe316f | [
"BSD-2-Clause"
] | null | null | null | tensorflow_rnn/mnist_lstm.py | naoki009/samples | dac3bbddbd06374c39768cbe17fefd0110fe316f | [
"BSD-2-Clause"
] | 1 | 2020-08-14T11:44:42.000Z | 2020-08-14T11:44:42.000Z | import numpy as np
import tensorflow as tf
"""
Do an MNIST classification line by line by LSTM
"""
(x_train, y_train), \
(x_test, y_test) = tf.keras.datasets.mnist.load_data()
x_train, x_test = x_train/255.0, x_test/255.0
model = tf.keras.Sequential()
model.add(tf.keras.layers.LSTM(128, input_shape=(None, 28)))
... | 27.269231 | 67 | 0.70945 | 108 | 709 | 4.509259 | 0.481481 | 0.100616 | 0.082136 | 0.123203 | 0.172485 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03437 | 0.138223 | 709 | 25 | 68 | 28.36 | 0.762684 | 0.066291 | 0 | 0 | 0 | 0 | 0.029752 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcdd9f6e351b12352ead172914df612d99371de2 | 984 | py | Python | scrap/CloudCoverUndersampling.py | cseale/kaggle-amazon-rainforests | cf42941bb3c70ba19257764b66fe33550be88e0b | [
"Apache-2.0"
] | null | null | null | scrap/CloudCoverUndersampling.py | cseale/kaggle-amazon-rainforests | cf42941bb3c70ba19257764b66fe33550be88e0b | [
"Apache-2.0"
] | null | null | null | scrap/CloudCoverUndersampling.py | cseale/kaggle-amazon-rainforests | cf42941bb3c70ba19257764b66fe33550be88e0b | [
"Apache-2.0"
] | null | null | null |
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import os
from random import shuffle
from tqdm import tqdm
DATA_DIR = '../input/amazon/'
TRAIN_TIF_DIR = DATA_DIR + 'train-tif/'
TRAIN_CSV = DATA_DIR + 'train.csv'
TEST_TIF_DIR = DATA_DIR + 'test-tif/'
IMG_SIZE = 100
LR = 1e-3
MODEL_NAME = 'amazon=-{... | 20.93617 | 83 | 0.690041 | 168 | 984 | 3.845238 | 0.434524 | 0.198142 | 0.102167 | 0.123839 | 0.123839 | 0.086687 | 0.086687 | 0.086687 | 0 | 0 | 0 | 0.036188 | 0.15752 | 984 | 46 | 84 | 21.391304 | 0.743064 | 0.087398 | 0 | 0 | 0 | 0 | 0.114478 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.185185 | 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 |
bcde4233b8d9a36e066c7f656e904c7a4e46422b | 3,247 | py | Python | chintai-scrape/A001_parse_htmls.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 16 | 2018-02-06T14:43:41.000Z | 2021-01-23T05:07:33.000Z | chintai-scrape/A001_parse_htmls.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | null | null | null | chintai-scrape/A001_parse_htmls.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 4 | 2018-01-16T13:50:43.000Z | 2019-12-16T19:45:54.000Z | import glob
import bs4
import gzip
import pickle
import re
import os
from concurrent.futures import ProcessPoolExecutor as PPE
import json
from pathlib import Path
from hashlib import sha256
import shutil
Path('json').mkdir(exist_ok=True)
def sanitize(text):
text = re.sub(r'(\t|\n|\r)', '', text)
text = re.s... | 36.077778 | 158 | 0.55559 | 450 | 3,247 | 3.917778 | 0.297778 | 0.045944 | 0.054453 | 0.039705 | 0.263188 | 0.142938 | 0.052184 | 0 | 0 | 0 | 0 | 0.008959 | 0.278103 | 3,247 | 89 | 159 | 36.483146 | 0.743174 | 0.140437 | 0 | 0.081081 | 0 | 0 | 0.085252 | 0.007914 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.162162 | 0 | 0.243243 | 0.040541 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcde81a6deec0252f40277dde895c56c9a4836eb | 5,047 | py | Python | google-datacatalog-apache-atlas-connector/src/google/datacatalog_connectors/apache_atlas/scrape/metadata_scraper.py | ricardolsmendes/datacatalog-connectors-hive | 9e71588133c0b0227e789c8d6bb26cfa031d2cfb | [
"Apache-2.0"
] | 19 | 2020-04-27T21:55:47.000Z | 2022-03-22T19:45:14.000Z | google-datacatalog-apache-atlas-connector/src/google/datacatalog_connectors/apache_atlas/scrape/metadata_scraper.py | ricardolsmendes/datacatalog-connectors-hive | 9e71588133c0b0227e789c8d6bb26cfa031d2cfb | [
"Apache-2.0"
] | 12 | 2020-05-28T14:48:29.000Z | 2022-01-15T17:52:09.000Z | google-datacatalog-apache-atlas-connector/src/google/datacatalog_connectors/apache_atlas/scrape/metadata_scraper.py | mesmacosta/datacatalog-connectors-hive | ab7e49fbef8599dd9053c2260b261ce01f510a47 | [
"Apache-2.0"
] | 15 | 2020-05-03T17:25:51.000Z | 2022-01-11T22:10:35.000Z | #!/usr/bin/python
#
# Copyright 2020 Google 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 ag... | 37.385185 | 79 | 0.656628 | 563 | 5,047 | 5.520426 | 0.248668 | 0.074003 | 0.040541 | 0.040541 | 0.211068 | 0.070463 | 0.038932 | 0.027027 | 0 | 0 | 0 | 0.002118 | 0.251437 | 5,047 | 134 | 80 | 37.664179 | 0.82054 | 0.12443 | 0 | 0.065217 | 0 | 0 | 0.089257 | 0.017488 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.021739 | 0 | 0.141304 | 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 |
bcded4531d60ca947d6fb59affac50e25540dcfc | 7,490 | py | Python | aviary/roost/data.py | sxie22/aviary | 74b87eee86067f69af6e5b86bd12fca2202c4de5 | [
"MIT"
] | null | null | null | aviary/roost/data.py | sxie22/aviary | 74b87eee86067f69af6e5b86bd12fca2202c4de5 | [
"MIT"
] | null | null | null | aviary/roost/data.py | sxie22/aviary | 74b87eee86067f69af6e5b86bd12fca2202c4de5 | [
"MIT"
] | null | null | null | import functools
import json
from os.path import abspath, dirname, exists, join
from typing import Dict, Sequence
import numpy as np
import pandas as pd
import torch
from pymatgen.core import Composition
from torch.utils.data import Dataset
class CompositionData(Dataset):
def __init__(
self,
df: ... | 33.738739 | 100 | 0.607076 | 960 | 7,490 | 4.517708 | 0.214583 | 0.037353 | 0.029052 | 0.029052 | 0.198063 | 0.110906 | 0.076089 | 0.061794 | 0.048421 | 0.031358 | 0 | 0.009901 | 0.298798 | 7,490 | 221 | 101 | 33.891403 | 0.81588 | 0.338451 | 0 | 0.017699 | 0 | 0 | 0.090372 | 0.008096 | 0 | 0 | 0 | 0 | 0.044248 | 1 | 0.035398 | false | 0 | 0.079646 | 0.00885 | 0.150442 | 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 |
bce1c979a2eb7695c7ea999525e47a17d52983b8 | 68,069 | py | Python | symblic_game/NEW_GAME.py | zishanqin/Symbolic-transfer | b553f188ad3f6c6492fcff556ac6f597e56cf43e | [
"MIT"
] | 3 | 2021-07-28T11:28:25.000Z | 2021-07-28T11:56:58.000Z | symblic_game/NEW_GAME.py | zishanqin/Symbolic-transfer | b553f188ad3f6c6492fcff556ac6f597e56cf43e | [
"MIT"
] | null | null | null | symblic_game/NEW_GAME.py | zishanqin/Symbolic-transfer | b553f188ad3f6c6492fcff556ac6f597e56cf43e | [
"MIT"
] | 1 | 2021-07-28T11:40:45.000Z | 2021-07-28T11:40:45.000Z | 'Author: Aimore Resende Riquetti Dutra'
'''email: aimorerrd@hotmail.com'''
# -------------------------------------------------------------------------------------------------- #
# This code can run 4 different models of Reinforcement Learning:
# Q-Learning (QL), DQN, SRL (DSRL), SRL+CS(DSRL_object_near) and some ot... | 41.734519 | 231 | 0.491707 | 8,780 | 68,069 | 3.59123 | 0.083599 | 0.016111 | 0.016555 | 0.014589 | 0.47087 | 0.411627 | 0.367194 | 0.349244 | 0.32587 | 0.321049 | 0 | 0.033228 | 0.387651 | 68,069 | 1,630 | 232 | 41.760123 | 0.72295 | 0.177217 | 0 | 0.407504 | 0 | 0 | 0.059215 | 0.004821 | 0 | 0 | 0 | 0.000614 | 0 | 1 | 0.022688 | false | 0.002618 | 0.012216 | 0 | 0.045375 | 0.028796 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bce25f2b08abacab5318cf6e45474c91216d772e | 38,887 | py | Python | tensor2tensor/trax/rlax/ppo.py | funtion/tensor2tensor | 339295a276c4bfc93894c474979d0620d14b9710 | [
"Apache-2.0"
] | 1 | 2020-09-22T02:07:16.000Z | 2020-09-22T02:07:16.000Z | tensor2tensor/trax/rlax/ppo.py | joeyism/tensor2tensor | 2f0edae221a9ec2a415dbf7fcc3ff25b8777d830 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/trax/rlax/ppo.py | joeyism/tensor2tensor | 2f0edae221a9ec2a415dbf7fcc3ff25b8777d830 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 35.255666 | 81 | 0.649806 | 5,453 | 38,887 | 4.417202 | 0.122501 | 0.007639 | 0.037198 | 0.023291 | 0.369037 | 0.281064 | 0.213808 | 0.183875 | 0.138415 | 0.113962 | 0 | 0.018077 | 0.254584 | 38,887 | 1,102 | 82 | 35.287659 | 0.812882 | 0.323656 | 0 | 0.290221 | 0 | 0.006309 | 0.048533 | 0.002985 | 0 | 0 | 0 | 0.004537 | 0.044164 | 1 | 0.039432 | false | 0 | 0.0347 | 0.003155 | 0.113565 | 0.004732 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bce5b76758741bd43e051c43114fa45c1ec64384 | 9,421 | py | Python | models/cal.py | SudoRmFr/The-Nature-Conservancy-Fisheries-Monitoring | 059f0063c1493c19b4f45fa27d13adaeb6b2b2d7 | [
"MIT"
] | null | null | null | models/cal.py | SudoRmFr/The-Nature-Conservancy-Fisheries-Monitoring | 059f0063c1493c19b4f45fa27d13adaeb6b2b2d7 | [
"MIT"
] | null | null | null | models/cal.py | SudoRmFr/The-Nature-Conservancy-Fisheries-Monitoring | 059f0063c1493c19b4f45fa27d13adaeb6b2b2d7 | [
"MIT"
] | null | null | null | """
WS-DAN models
Hu et al.,
"See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification",
arXiv:1901.09891
"""
import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import models.resnet as resnet
from models.incep... | 39.751055 | 135 | 0.604713 | 1,210 | 9,421 | 4.493388 | 0.203306 | 0.050212 | 0.022071 | 0.013794 | 0.309546 | 0.244804 | 0.22494 | 0.19588 | 0.181902 | 0.144749 | 0 | 0.018179 | 0.275979 | 9,421 | 236 | 136 | 39.919492 | 0.778918 | 0.071648 | 0 | 0.261628 | 0 | 0 | 0.055842 | 0 | 0 | 0 | 0 | 0 | 0.005814 | 1 | 0.052326 | false | 0 | 0.052326 | 0 | 0.145349 | 0.017442 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bce6db15719682d4f24dcfd6984365aab4377658 | 1,526 | py | Python | tests/walls/analytic/plates.py | noabauma/Mirheo | bf7979bfbbf402d33c26ac5dc879f880e78e7017 | [
"MIT"
] | null | null | null | tests/walls/analytic/plates.py | noabauma/Mirheo | bf7979bfbbf402d33c26ac5dc879f880e78e7017 | [
"MIT"
] | null | null | null | tests/walls/analytic/plates.py | noabauma/Mirheo | bf7979bfbbf402d33c26ac5dc879f880e78e7017 | [
"MIT"
] | 1 | 2021-07-14T13:24:05.000Z | 2021-07-14T13:24:05.000Z | #!/usr/bin/env python
import mirheo as mir
dt = 0.001
ranks = (1, 1, 1)
domain = (8, 16, 8)
force = (1.0, 0, 0)
density = 4
u = mir.Mirheo(ranks, domain, dt, debug_level=3, log_filename='log', no_splash=True)
pv = mir.ParticleVectors.ParticleVector('pv', mass = 1)
ic = mir.InitialConditions.Uniform(number_densit... | 27.745455 | 138 | 0.692005 | 248 | 1,526 | 4.153226 | 0.423387 | 0.01165 | 0.008738 | 0.040777 | 0.009709 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053707 | 0.133683 | 1,526 | 54 | 139 | 28.259259 | 0.725416 | 0.130406 | 0 | 0 | 0 | 0 | 0.049962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033333 | 0 | 0.033333 | 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 |
bceaba57987d2038b2b3f984d0fa700547f6902c | 12,224 | py | Python | SIO_Code/SIO_coherence.py | mmstoll/Ocean569_Code | 228cb719f3e82f187f704f343d3b3590a38236d7 | [
"MIT"
] | null | null | null | SIO_Code/SIO_coherence.py | mmstoll/Ocean569_Code | 228cb719f3e82f187f704f343d3b3590a38236d7 | [
"MIT"
] | null | null | null | SIO_Code/SIO_coherence.py | mmstoll/Ocean569_Code | 228cb719f3e82f187f704f343d3b3590a38236d7 | [
"MIT"
] | null | null | null | """
Data: Temperature and Salinity time series from SIO Scripps Pier
Salinity: measured in PSU at the surface (~0.5m) and at depth (~5m)
Temp: measured in degrees C at the surface (~0.5m) and at depth (~5m)
- Timestamp included beginning in 1990
"""
# imports
import sys,os
import pandas as pd
import numpy as... | 47.015385 | 156 | 0.724967 | 2,196 | 12,224 | 3.777322 | 0.161202 | 0.029898 | 0.020253 | 0.025316 | 0.588427 | 0.548885 | 0.512236 | 0.466426 | 0.466426 | 0.438457 | 0 | 0.04548 | 0.120419 | 12,224 | 259 | 157 | 47.196911 | 0.726004 | 0.286486 | 0 | 0.263473 | 0 | 0 | 0.209057 | 0.057679 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005988 | false | 0 | 0.053892 | 0 | 0.065868 | 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 |
bceb90c866742318115d3897625ab3cd17dad9ae | 1,782 | py | Python | abfs/group_data_split.py | rcdilorenzo/abfs | a897d00a4589a9412a9b9e737f8db91df008fc26 | [
"MIT"
] | 7 | 2019-03-13T17:22:50.000Z | 2022-01-09T09:03:16.000Z | abfs/group_data_split.py | rcdilorenzo/abfs | a897d00a4589a9412a9b9e737f8db91df008fc26 | [
"MIT"
] | 1 | 2019-08-01T23:42:09.000Z | 2019-08-02T16:14:31.000Z | abfs/group_data_split.py | rcdilorenzo/abfs | a897d00a4589a9412a9b9e737f8db91df008fc26 | [
"MIT"
] | 2 | 2020-09-12T06:33:16.000Z | 2021-01-01T01:05:48.000Z | from collections import namedtuple as Struct
from sklearn.model_selection import GroupShuffleSplit, ShuffleSplit
DataSplitConfig = Struct('DataSplitConfig', ['validation_size', 'test_size', 'random_seed'])
DEFAULT_SPLIT_CONFIG = DataSplitConfig(0.2, 0.2, 1337)
class GroupDataSplit():
def __init__(self, df, key, ... | 30.724138 | 92 | 0.640292 | 225 | 1,782 | 4.777778 | 0.244444 | 0.044651 | 0.055814 | 0.053023 | 0.074419 | 0.074419 | 0.074419 | 0.074419 | 0 | 0 | 0 | 0.007559 | 0.257576 | 1,782 | 57 | 93 | 31.263158 | 0.804989 | 0.054433 | 0 | 0.170732 | 0 | 0 | 0.030048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.195122 | false | 0 | 0.04878 | 0.02439 | 0.414634 | 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 |
bcef12fc47d4a9fcc176c51b16eef241913a4acb | 2,989 | py | Python | mmcls/models/utils/se_layer.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 1,190 | 2020-07-10T01:16:01.000Z | 2022-03-31T09:48:38.000Z | mmcls/models/utils/se_layer.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 702 | 2020-07-13T13:31:33.000Z | 2022-03-31T06:48:04.000Z | mmcls/models/utils/se_layer.py | YuxinZou/mmclassification | 2037260ea6c98a3b115e97727e1151a1c2c32f7a | [
"Apache-2.0"
] | 502 | 2020-07-10T02:40:55.000Z | 2022-03-31T02:07:09.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from .make_divisible import make_divisible
class SELayer(BaseModule):
"""Squeeze-and-Excitation Module.
Args:
channels (int): The input (and output) ch... | 39.853333 | 77 | 0.603546 | 366 | 2,989 | 4.770492 | 0.306011 | 0.04811 | 0.030928 | 0.027491 | 0.266896 | 0.189003 | 0.158076 | 0.114548 | 0.068729 | 0.068729 | 0 | 0.010219 | 0.312479 | 2,989 | 74 | 78 | 40.391892 | 0.839416 | 0.405487 | 0 | 0.170213 | 0 | 0 | 0.058442 | 0 | 0 | 0 | 0 | 0 | 0.06383 | 1 | 0.042553 | false | 0 | 0.106383 | 0 | 0.191489 | 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 |
bcef9b7b7442550783a878ff705f2b12e8b4982b | 605 | py | Python | instagram/admin.py | James19stack/instagram-copy_cat | 996a8678cec84a05e97d803356194cd112ee53e6 | [
"MIT"
] | null | null | null | instagram/admin.py | James19stack/instagram-copy_cat | 996a8678cec84a05e97d803356194cd112ee53e6 | [
"MIT"
] | 7 | 2021-04-08T21:26:44.000Z | 2022-03-12T00:40:52.000Z | instagram/admin.py | James19stack/instagram-copy_cat | 996a8678cec84a05e97d803356194cd112ee53e6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Images,Comments,Profile
# Register your models here.
class CommentInline(admin.TabularInline):
model=Comments
extra=3
class ImageInline(admin.ModelAdmin):
fieldsets=[
(None,{'fields':['image']}),
(None,{'fields':['image_name']}),
... | 24.2 | 49 | 0.676033 | 66 | 605 | 6.136364 | 0.5 | 0.098765 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001992 | 0.170248 | 605 | 24 | 50 | 25.208333 | 0.804781 | 0.042975 | 0 | 0 | 0 | 0 | 0.168403 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.470588 | 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 |
bcf0d2ce383dabf5df66eb0e8657dcde75189cda | 8,894 | py | Python | core/recognizer.py | awen1988/yry | b65ccd7062d60f605fc978a87e060d0015cf1d4c | [
"Apache-2.0"
] | 129 | 2017-11-14T07:20:33.000Z | 2021-06-18T07:07:18.000Z | core/recognizer.py | awen1988/yry | b65ccd7062d60f605fc978a87e060d0015cf1d4c | [
"Apache-2.0"
] | 10 | 2018-04-18T08:01:09.000Z | 2018-08-17T02:57:33.000Z | core/recognizer.py | awen1988/yry | b65ccd7062d60f605fc978a87e060d0015cf1d4c | [
"Apache-2.0"
] | 35 | 2017-11-14T07:17:00.000Z | 2021-01-21T08:10:07.000Z | """
recognize face landmark
"""
import json
import os
import requests
import numpy as np
FACE_POINTS = list(range(0, 83))
JAW_POINTS = list(range(0, 19))
LEFT_EYE_POINTS = list(range(19, 29))
LEFT_BROW_POINTS = list(range(29, 37))
MOUTH_POINTS = list(range(37, 55))
NOSE_POINTS = list(range(55, 65))
RIGHT_EYE_POINTS =... | 47.308511 | 103 | 0.619744 | 1,233 | 8,894 | 4.082725 | 0.111922 | 0.065952 | 0.03973 | 0.050854 | 0.523441 | 0.369289 | 0.025824 | 0 | 0 | 0 | 0 | 0.020574 | 0.158421 | 8,894 | 187 | 104 | 47.561497 | 0.651971 | 0.002586 | 0 | 0.03871 | 0 | 0 | 0.438565 | 0.271014 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025806 | false | 0 | 0.025806 | 0 | 0.083871 | 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 |
bcf263d3ef948ac8eb8afa3a601107434d608075 | 1,646 | py | Python | magvar.py | rafidmorshedi/mag-dec-api | 5daff929be8cad902f8db331090c0ed77f7bdef9 | [
"MIT"
] | null | null | null | magvar.py | rafidmorshedi/mag-dec-api | 5daff929be8cad902f8db331090c0ed77f7bdef9 | [
"MIT"
] | null | null | null | magvar.py | rafidmorshedi/mag-dec-api | 5daff929be8cad902f8db331090c0ed77f7bdef9 | [
"MIT"
] | null | null | null | import requests
import time
from bs4 import BeautifulSoup
import re
def decdeg2dms(dd):
negative = dd < 0
dd = abs(dd)
minutes,seconds = divmod(dd*3600,60)
degrees,minutes = divmod(minutes,60)
if negative:
if degrees > 0:
degrees = -degrees
elif minutes > 0:
... | 29.392857 | 76 | 0.59113 | 230 | 1,646 | 4.195652 | 0.495652 | 0.010363 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 0.265492 | 1,646 | 56 | 77 | 29.392857 | 0.765922 | 0.241191 | 0 | 0.057143 | 0 | 0 | 0.10741 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.114286 | 0 | 0.257143 | 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 |
bcf492dcec78d6b358e2430eb0bbca995c069560 | 5,054 | py | Python | Deep-Learning/Crowd-Count/src/data_preprocess.py | sadbb/CVCode | c7c8b527af786d8f113122231e6296987b242b59 | [
"Apache-2.0"
] | 1 | 2018-11-18T05:43:05.000Z | 2018-11-18T05:43:05.000Z | Deep-Learning/Crowd-Count/src/data_preprocess.py | sadbb/CVCode | c7c8b527af786d8f113122231e6296987b242b59 | [
"Apache-2.0"
] | null | null | null | Deep-Learning/Crowd-Count/src/data_preprocess.py | sadbb/CVCode | c7c8b527af786d8f113122231e6296987b242b59 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# ------------------------
# written by Songjian Chen
# 2018-10
# ------------------------
import os
import skimage.io
from skimage.color import rgb2gray
import skimage.transform
from scipy.io import loadmat
import numpy as np
import cv2
import math
import warnings
import random
import torch
imp... | 38.287879 | 109 | 0.623467 | 740 | 5,054 | 4.07973 | 0.201351 | 0.027824 | 0.033124 | 0.006625 | 0.333885 | 0.251408 | 0.20636 | 0.141438 | 0.116926 | 0.10467 | 0 | 0.02869 | 0.234468 | 5,054 | 131 | 110 | 38.580153 | 0.751615 | 0.085675 | 0 | 0.166667 | 0 | 0 | 0.115577 | 0.059309 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.125 | 0 | 0.177083 | 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 |
bcf6d0a350e5ace0a39c3f35ff8dbbc6f050f1f4 | 6,407 | py | Python | shellmacros/istr.py | duaneellissd/shellmacros | 33b5cd1a8794e35a9540f78dca066b8dfc289c97 | [
"BSD-2-Clause"
] | null | null | null | shellmacros/istr.py | duaneellissd/shellmacros | 33b5cd1a8794e35a9540f78dca066b8dfc289c97 | [
"BSD-2-Clause"
] | null | null | null | shellmacros/istr.py | duaneellissd/shellmacros | 33b5cd1a8794e35a9540f78dca066b8dfc289c97 | [
"BSD-2-Clause"
] | null | null | null | '''
Created on Dec 27, 2019
@author: duane
'''
DOLLAR = ord('$')
LBRACE = ord('{')
RBRACE = ord('}')
LPAREN = ord('(')
RPAREN = ord(')')
class IStrFindResult(object):
OK = 0
NOTFOUND = 1
SYNTAX = 2
def __init__(self):
self.result = IStrFindResult.SYNTAX
self.lhs = 0
self.rh... | 27.856522 | 81 | 0.517715 | 857 | 6,407 | 3.822637 | 0.271879 | 0.021978 | 0.014957 | 0.014652 | 0.107143 | 0.076313 | 0.076313 | 0.064713 | 0.064713 | 0.03663 | 0 | 0.024922 | 0.348681 | 6,407 | 229 | 82 | 27.978166 | 0.760125 | 0.26674 | 0 | 0.132353 | 0 | 0 | 0.059801 | 0 | 0 | 0 | 0.002879 | 0 | 0.044118 | 1 | 0.088235 | false | 0 | 0 | 0.022059 | 0.220588 | 0.066176 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcf76125149120b7d959b455bacb0c98cf4095f0 | 7,712 | py | Python | cli.py | checktheroads/deenis | 2581e2fcbb08a9c85590bd54e109f24cc87b664f | [
"WTFPL"
] | 4 | 2019-07-18T18:16:31.000Z | 2020-02-28T08:39:58.000Z | cli.py | checktheroads/deenis | 2581e2fcbb08a9c85590bd54e109f24cc87b664f | [
"WTFPL"
] | null | null | null | cli.py | checktheroads/deenis | 2581e2fcbb08a9c85590bd54e109f24cc87b664f | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
"""
CLI for Accessing Deenis
"""
# Standard Imports
import sys
from pathlib import Path
# Module Imports
import click
# Path Fixes
working_dir = Path(__file__).resolve().parent
sys.path.append(str(working_dir))
# Project Imports
from deenis import Deenis
@click.group(
help=(
"Deen... | 36.72381 | 86 | 0.490794 | 803 | 7,712 | 4.585305 | 0.232877 | 0.057034 | 0.028517 | 0.024715 | 0.355785 | 0.297121 | 0.284628 | 0.284628 | 0.224335 | 0.224335 | 0 | 0.014309 | 0.374741 | 7,712 | 209 | 87 | 36.899522 | 0.748445 | 0.037863 | 0 | 0.305389 | 0 | 0 | 0.203714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017964 | false | 0.005988 | 0.023952 | 0 | 0.041916 | 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 |
bcf7f47be4d0d789e4869009ef9f2f68c5ab3b33 | 5,383 | py | Python | main_cl.py | spiolynn/pybo | 186495de315eb8ec47a996de959574f9864da7c4 | [
"MIT"
] | null | null | null | main_cl.py | spiolynn/pybo | 186495de315eb8ec47a996de959574f9864da7c4 | [
"MIT"
] | null | null | null | main_cl.py | spiolynn/pybo | 186495de315eb8ec47a996de959574f9864da7c4 | [
"MIT"
] | null | null | null | # coding: utf-8
from bigone import BigOneDog
from common import gen_logger
import logging
import time
import json
def strategy_eth_big_bnc_eth(dog):
"""
正向:买BIG/ETH -> 卖BIG/BNC -> 买ETH/BNC
反向:卖ETH/BNC -> 买BIG/BNC -> 卖BIG/ETH
:param dog: implemention of BigOneDog
:return: 正向收益率,反向收益率
"""
... | 35.886667 | 112 | 0.546907 | 774 | 5,383 | 3.605943 | 0.135659 | 0.068793 | 0.074167 | 0.085274 | 0.714439 | 0.677893 | 0.460408 | 0.335722 | 0.295593 | 0.264421 | 0 | 0.047108 | 0.2389 | 5,383 | 149 | 113 | 36.127517 | 0.634123 | 0.211964 | 0 | 0.204819 | 0 | 0.012048 | 0.192298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024096 | false | 0 | 0.060241 | 0 | 0.120482 | 0.216867 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcf86b7e6462408e17d610983a6cb23985d20fe4 | 1,191 | py | Python | run_experiments.py | gahaalt/cifar-vs-tensorflow2 | 547d131382438ef76e315dde06a6870737f1fbad | [
"MIT"
] | 6 | 2019-11-15T08:42:29.000Z | 2021-03-04T11:58:39.000Z | run_experiments.py | gahaalt/cifar-vs-tensorflow2 | 547d131382438ef76e315dde06a6870737f1fbad | [
"MIT"
] | null | null | null | run_experiments.py | gahaalt/cifar-vs-tensorflow2 | 547d131382438ef76e315dde06a6870737f1fbad | [
"MIT"
] | 3 | 2020-11-25T03:44:41.000Z | 2021-03-08T04:45:56.000Z | import os
import yaml
import logging
import importlib
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
logging.getLogger('tensorflow').disabled = True
from cifar_training_tools import cifar_training, cifar_error_test
def print_dict(d, tabs=0):
tab = '\t'
for key in d:
if type(d[key]) == dict:
pri... | 27.697674 | 79 | 0.628044 | 164 | 1,191 | 4.390244 | 0.371951 | 0.05 | 0.038889 | 0.036111 | 0.35 | 0.305556 | 0.305556 | 0.305556 | 0.305556 | 0.305556 | 0 | 0.011482 | 0.195634 | 1,191 | 43 | 79 | 27.697674 | 0.740084 | 0 | 0 | 0.181818 | 0 | 0 | 0.218121 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.212121 | 0 | 0.242424 | 0.363636 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcf9bd066aefdc4f6abca126693e2677662eb927 | 1,542 | py | Python | histdata/mt5db/script_DownloadAndStoreToMongodb.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | 1 | 2018-07-02T13:54:49.000Z | 2018-07-02T13:54:49.000Z | histdata/mt5db/script_DownloadAndStoreToMongodb.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | null | null | null | histdata/mt5db/script_DownloadAndStoreToMongodb.py | UpSea/midProjects | ed6086e74f68b1b89f725abe0b270e67cf8993a8 | [
"MIT"
] | 3 | 2016-05-28T15:13:02.000Z | 2021-04-10T06:04:25.000Z | # -*- coding: utf-8 -*-
import os,sys
from PyQt4 import QtGui,QtCore
dataRoot = os.path.abspath(os.path.join(os.path.dirname(__file__),os.pardir,os.pardir,'histdata'))
sys.path.append(dataRoot)
import dataCenter as dataCenter
from data.mongodb.DataSourceMongodb import Mongodb
import datetime as dt
... | 37.609756 | 133 | 0.527237 | 136 | 1,542 | 5.882353 | 0.595588 | 0.0225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023045 | 0.212062 | 1,542 | 41 | 134 | 37.609756 | 0.635391 | 0.311933 | 0 | 0 | 0 | 0 | 0.064176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.2 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcfa7e8108972dea4c27619df4c1be7b06458b6e | 3,813 | py | Python | main.py | brunotoshio/castella | ad418bd1beb4953687a4ad7be586b12631c25992 | [
"MIT"
] | 2 | 2020-02-18T09:41:43.000Z | 2020-02-20T11:03:03.000Z | main.py | brunotoshio/castella | ad418bd1beb4953687a4ad7be586b12631c25992 | [
"MIT"
] | null | null | null | main.py | brunotoshio/castella | ad418bd1beb4953687a4ad7be586b12631c25992 | [
"MIT"
] | null | null | null | import pymongo
import yaml
import sched
import time
import json
from castella import TweetCrawler
class Castella(object):
def __init__(self):
# Get connection parameters
with open("settings.yml", "r") as stream:
try:
settings = yaml.safe_load(stream)["settings"]
... | 37.019417 | 150 | 0.540782 | 383 | 3,813 | 5.206266 | 0.370757 | 0.036108 | 0.044132 | 0.017051 | 0.024072 | 0.024072 | 0.024072 | 0 | 0 | 0 | 0 | 0.006877 | 0.275374 | 3,813 | 103 | 151 | 37.019417 | 0.714803 | 0.039601 | 0 | 0.106667 | 0 | 0.013333 | 0.218998 | 0.082124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093333 | false | 0 | 0.08 | 0.026667 | 0.213333 | 0.16 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bcfabdd28c428dd3bd0fa4eb4f234286130b7db0 | 1,275 | py | Python | ngraph/test/frontend/paddlepaddle/test_models/gen_scripts/generate_slice.py | monroid/openvino | 8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6 | [
"Apache-2.0"
] | 2,406 | 2020-04-22T15:47:54.000Z | 2022-03-31T10:27:37.000Z | ngraph/test/frontend/paddlepaddle/test_models/gen_scripts/generate_slice.py | thomas-yanxin/openvino | 031e998a15ec738c64cc2379d7f30fb73087c272 | [
"Apache-2.0"
] | 4,948 | 2020-04-22T15:12:39.000Z | 2022-03-31T18:45:42.000Z | ngraph/test/frontend/paddlepaddle/test_models/gen_scripts/generate_slice.py | thomas-yanxin/openvino | 031e998a15ec738c64cc2379d7f30fb73087c272 | [
"Apache-2.0"
] | 991 | 2020-04-23T18:21:09.000Z | 2022-03-31T18:40:57.000Z | #
# slice paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle as pdpd
import sys
data_type = 'float32'
def slice(name : str, x, axes : list, start : list, end : list):
pdpd.enable_static()
with pdpd.static.program_guard(pdpd.static.Program(), pdpd.static.Program()):
... | 32.692308 | 116 | 0.622745 | 191 | 1,275 | 4.036649 | 0.408377 | 0.090791 | 0.066148 | 0.031128 | 0.16083 | 0.098573 | 0.098573 | 0.098573 | 0.098573 | 0.098573 | 0 | 0.036963 | 0.214902 | 1,275 | 39 | 117 | 32.692308 | 0.733267 | 0.075294 | 0 | 0 | 0 | 0 | 0.026383 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.16 | 0 | 0.28 | 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 |
bcfca1189da0e63d3e685ea19031e90196e49d8d | 719 | py | Python | testfixtures/compat.py | cjw296/testfixtures | 1bf1e6fe1e111210d6d7fbcd00feb564095ffd02 | [
"MIT"
] | null | null | null | testfixtures/compat.py | cjw296/testfixtures | 1bf1e6fe1e111210d6d7fbcd00feb564095ffd02 | [
"MIT"
] | null | null | null | testfixtures/compat.py | cjw296/testfixtures | 1bf1e6fe1e111210d6d7fbcd00feb564095ffd02 | [
"MIT"
] | null | null | null | # compatibility module for different python versions
import sys
if sys.version_info[:2] > (3, 0):
PY2 = False
PY3 = True
Bytes = bytes
Unicode = str
basestring = str
class_type_name = 'class'
ClassType = type
exception_module = 'builtins'
new_class = type
self_name = '__self_... | 18.435897 | 52 | 0.635605 | 85 | 719 | 5.188235 | 0.494118 | 0.061224 | 0.058957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014 | 0.30459 | 719 | 38 | 53 | 18.921053 | 0.868 | 0.069541 | 0 | 0 | 0 | 0 | 0.062969 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.185185 | 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 |
bcfd55447233f3a98240a98d95e5f9301c8b38ec | 3,898 | py | Python | old_py2/tests/models_tests/notifications/test_match_score.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 266 | 2015-01-04T00:10:48.000Z | 2022-03-28T18:42:05.000Z | tests/models_tests/notifications/test_match_score.py | gregmarra/the-blue-alliance | 5bedaf5c80b4623984760d3da3289640639112f9 | [
"MIT"
] | 2,673 | 2015-01-01T20:14:33.000Z | 2022-03-31T18:17:16.000Z | tests/models_tests/notifications/test_match_score.py | gregmarra/the-blue-alliance | 5bedaf5c80b4623984760d3da3289640639112f9 | [
"MIT"
] | 230 | 2015-01-04T00:10:48.000Z | 2022-03-26T18:12:04.000Z | import re
import unittest2
from google.appengine.ext import ndb
from google.appengine.ext import testbed
from consts.notification_type import NotificationType
from helpers.event.event_test_creator import EventTestCreator
from models.team import Team
from models.notifications.match_score import MatchScoreNotification... | 41.913978 | 94 | 0.69882 | 459 | 3,898 | 5.753813 | 0.211329 | 0.102234 | 0.083302 | 0.070428 | 0.604317 | 0.537675 | 0.522529 | 0.491859 | 0.464218 | 0.464218 | 0 | 0.006283 | 0.183427 | 3,898 | 92 | 95 | 42.369565 | 0.823437 | 0.014366 | 0 | 0.388889 | 0 | 0.027778 | 0.09664 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.138889 | false | 0 | 0.111111 | 0 | 0.263889 | 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 |
bcfde8681fdc58448a7018049cb36bbab73499b0 | 21,700 | py | Python | Compliant_control/Force Tracking/archive/VIC_Huang1992_(main 09.03).py | martihmy/Compliant_control | 485f627fa83d59f414f41bd57c5d37528ef5f1ec | [
"Apache-2.0"
] | null | null | null | Compliant_control/Force Tracking/archive/VIC_Huang1992_(main 09.03).py | martihmy/Compliant_control | 485f627fa83d59f414f41bd57c5d37528ef5f1ec | [
"Apache-2.0"
] | null | null | null | Compliant_control/Force Tracking/archive/VIC_Huang1992_(main 09.03).py | martihmy/Compliant_control | 485f627fa83d59f414f41bd57c5d37528ef5f1ec | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
import copy
from copy import deepcopy
import rospy
import threading
import quaternion
import numpy as np
from geometry_msgs.msg import Point
from visualization_msgs.msg import *
from franka_interface import ArmInterface
from panda_robot import PandaArm
import matplotlib.pyplot as plt
from scipy.s... | 36.842105 | 267 | 0.638157 | 3,877 | 21,700 | 3.367552 | 0.124581 | 0.008885 | 0.028799 | 0.009191 | 0.431756 | 0.369868 | 0.299556 | 0.241651 | 0.184666 | 0.147672 | 0 | 0.056673 | 0.193364 | 21,700 | 588 | 268 | 36.904762 | 0.689214 | 0.157419 | 0 | 0.224852 | 0 | 0 | 0.024836 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088757 | false | 0 | 0.035503 | 0.02071 | 0.221893 | 0.011834 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c016da0c81742ef879e9615198cd22dc666a5c6 | 6,998 | py | Python | pycmap/common.py | mdashkezari/pycmap | 5b526404d005ec220ab0911cd2f3c05263f9eda3 | [
"MIT"
] | 4 | 2019-09-23T17:12:42.000Z | 2022-02-01T02:38:40.000Z | pycmap/common.py | mdashkezari/pycmap | 5b526404d005ec220ab0911cd2f3c05263f9eda3 | [
"MIT"
] | 2 | 2019-09-20T12:56:21.000Z | 2019-09-24T23:08:26.000Z | pycmap/common.py | mdashkezari/pycmap | 5b526404d005ec220ab0911cd2f3c05263f9eda3 | [
"MIT"
] | 1 | 2019-12-18T20:47:20.000Z | 2019-12-18T20:47:20.000Z | """
Author: Mohammad Dehghani Ashkezari <mdehghan@uw.edu>
Date: 2019-06-28
Function: Host a collection of shared multi-purpose helper functions.
"""
import os
import sys
from tqdm import tqdm
from colorama import Fore, Back, Style, init
import numpy as np
import pandas as pd
import webbrowser
import I... | 33.32381 | 131 | 0.572021 | 830 | 6,998 | 4.718072 | 0.316867 | 0.01379 | 0.01379 | 0.011236 | 0.089632 | 0.066905 | 0.055669 | 0.055669 | 0.024004 | 0 | 0 | 0.011767 | 0.319949 | 6,998 | 209 | 132 | 33.483254 | 0.811095 | 0.228637 | 0 | 0.125984 | 0 | 0 | 0.090981 | 0.01665 | 0 | 0 | 0 | 0 | 0 | 1 | 0.165354 | false | 0.007874 | 0.07874 | 0 | 0.409449 | 0.023622 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c03d0743c0121e9d0de50ceaa47b8661683af6f | 2,207 | py | Python | tests/test_device.py | michaelwoods/home-assistant-cli | 340643af943f36283621f39ac39a690b1fccc045 | [
"Apache-2.0"
] | null | null | null | tests/test_device.py | michaelwoods/home-assistant-cli | 340643af943f36283621f39ac39a690b1fccc045 | [
"Apache-2.0"
] | null | null | null | tests/test_device.py | michaelwoods/home-assistant-cli | 340643af943f36283621f39ac39a690b1fccc045 | [
"Apache-2.0"
] | null | null | null | """Testing Device operations."""
import json
import unittest.mock as mock
from click.testing import CliRunner
import homeassistant_cli.cli as cli
def test_device_list(default_devices) -> None:
"""Test Device List."""
with mock.patch(
'homeassistant_cli.remote.get_devices', return_value=default_devic... | 29.824324 | 76 | 0.557771 | 223 | 2,207 | 5.35426 | 0.269058 | 0.080402 | 0.054439 | 0.108878 | 0.572027 | 0.554439 | 0.525126 | 0.460637 | 0.460637 | 0.460637 | 0 | 0.005416 | 0.330766 | 2,207 | 73 | 77 | 30.232877 | 0.802979 | 0.039873 | 0 | 0.535714 | 0 | 0 | 0.178742 | 0.084843 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.053571 | false | 0 | 0.071429 | 0 | 0.125 | 0.017857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c03f5083b7da646254c6bd784cf88ab749969d1 | 4,350 | py | Python | widgets/tree_item.py | tarsa129/j3d-animation-editor | 3f0691bd7dcece6e2055a0b5af0510608f28f2ca | [
"MIT"
] | 6 | 2020-08-10T13:09:03.000Z | 2021-11-20T02:37:46.000Z | widgets/tree_item.py | tarsa129/j3d-animation-editor | 3f0691bd7dcece6e2055a0b5af0510608f28f2ca | [
"MIT"
] | 3 | 2021-02-16T06:20:23.000Z | 2022-02-24T21:43:41.000Z | widgets/tree_item.py | tarsa129/j3d-animation-editor | 3f0691bd7dcece6e2055a0b5af0510608f28f2ca | [
"MIT"
] | 2 | 2021-02-16T05:02:04.000Z | 2021-12-17T16:11:10.000Z | from PyQt5.QtWidgets import QAction, QTreeWidget, QTreeWidgetItem, QFileDialog
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import Qt
import animations.general_animation as j3d
from widgets.yaz0 import compress, compress_slow, compress_fast
from io import BytesIO
class tree_item(QTreeWidgetItem):
def __init__(... | 37.5 | 116 | 0.55931 | 495 | 4,350 | 4.739394 | 0.248485 | 0.086957 | 0.044757 | 0.031969 | 0.198636 | 0.155158 | 0.131287 | 0.080136 | 0.080136 | 0.080136 | 0 | 0.013575 | 0.33954 | 4,350 | 116 | 117 | 37.5 | 0.802993 | 0.013333 | 0 | 0.168421 | 0 | 0 | 0.031694 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084211 | false | 0 | 0.063158 | 0 | 0.168421 | 0.021053 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c040273405e24f9a3249bb42b05984c6988f41a | 3,445 | py | Python | Wheels.py | edhosken/WheelsSong | cb988c8510a1095eeec3a2399b0fc0ba24bfa648 | [
"MIT"
] | null | null | null | Wheels.py | edhosken/WheelsSong | cb988c8510a1095eeec3a2399b0fc0ba24bfa648 | [
"MIT"
] | null | null | null | Wheels.py | edhosken/WheelsSong | cb988c8510a1095eeec3a2399b0fc0ba24bfa648 | [
"MIT"
] | null | null | null | #Create the pre-defined song values and empty variables...Correct names not used so each starting letter would be unique
numbers = (1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 )
letters = ['a ','b ','c ','d ','e ','f ','g ','h ','i ','j ','k ','l ','m ','n ','o ','p ','q ','r ']
roman = ['I ', 'II ... | 37.445652 | 204 | 0.54688 | 515 | 3,445 | 3.658252 | 0.450485 | 0.016985 | 0.014331 | 0.008493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037481 | 0.248766 | 3,445 | 91 | 205 | 37.857143 | 0.690495 | 0.150943 | 0 | 0 | 0 | 0.033333 | 0.299313 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.116667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c0417fc2a324560f940489498afd9c4d64ac7c7 | 15,792 | py | Python | tests/test_config.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | tests/test_config.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | tests/test_config.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | # (c) 2012-2014 Continuum Analytics, Inc. / http://continuum.io
# All Rights Reserved
#
# conda is distributed under the terms of the BSD 3-clause license.
# Consult LICENSE.txt or http://opensource.org/licenses/BSD-3-Clause.
import os
from os.path import dirname, join, exists
import unittest
import pytest
import con... | 30.31094 | 111 | 0.597138 | 1,821 | 15,792 | 5.010434 | 0.157606 | 0.085598 | 0.050964 | 0.069049 | 0.629768 | 0.58516 | 0.539347 | 0.500986 | 0.457475 | 0.436651 | 0 | 0.005498 | 0.262918 | 15,792 | 520 | 112 | 30.369231 | 0.778351 | 0.097771 | 0 | 0.622047 | 0 | 0 | 0.301998 | 0.02906 | 0 | 0 | 0 | 0.001923 | 0.194226 | 1 | 0.03937 | false | 0.044619 | 0.020997 | 0.002625 | 0.068241 | 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 |
4c045d0953c279b203d260f5d6f3f9a0b7bdf019 | 3,579 | py | Python | malaya/transformers/babble.py | ahmed3991/malaya | d90be6d5b2a1393a3f8b8b1ffa8ae676cdaa083c | [
"MIT"
] | 1 | 2021-03-19T22:42:34.000Z | 2021-03-19T22:42:34.000Z | malaya/transformers/babble.py | ahmed3991/malaya | d90be6d5b2a1393a3f8b8b1ffa8ae676cdaa083c | [
"MIT"
] | null | null | null | malaya/transformers/babble.py | ahmed3991/malaya | d90be6d5b2a1393a3f8b8b1ffa8ae676cdaa083c | [
"MIT"
] | null | null | null | # Bert has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model,
# by Alex Wang, Kyunghyun Cho, NeuralGen 2019
# https://colab.research.google.com/drive/1MxKZGtQ9SSBjTK5ArsZ5LKhkztzg52RV
# https://arxiv.org/abs/1902.04094
import tensorflow as tf
import tensorflow_probability as tfp
import numpy as ... | 28.632 | 84 | 0.626991 | 470 | 3,579 | 4.570213 | 0.304255 | 0.01676 | 0.026536 | 0.019553 | 0.217877 | 0.192737 | 0.090317 | 0.057728 | 0.057728 | 0.057728 | 0 | 0.016 | 0.266555 | 3,579 | 124 | 85 | 28.862903 | 0.802286 | 0.065102 | 0 | 0.10101 | 0 | 0 | 0.010775 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070707 | false | 0 | 0.050505 | 0.020202 | 0.191919 | 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 |
4c045e92df54148ce6ef4110afe95ac625400e40 | 652 | py | Python | coding patterns/two pointers/sortedarr_square.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/two pointers/sortedarr_square.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null | coding patterns/two pointers/sortedarr_square.py | mkoryor/Python | 837ec4c03130dc4cb919fb5f1eeb4d31206790e4 | [
"Unlicense"
] | null | null | null |
"""
[E] Given a sorted array, create a new array containing squares of all the
number of the input array in the sorted order.
Input: [-2, -1, 0, 2, 3]
Output: [0, 1, 4, 4, 9]
"""
# Time: O(N) Space: O(n)
def make_squares(arr):
n = len(arr)
squares = [0 for x in range(n)]
highestSquareIdx = n - 1
left, r... | 19.757576 | 75 | 0.619632 | 94 | 652 | 4.287234 | 0.457447 | 0.009926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035124 | 0.257669 | 652 | 32 | 76 | 20.375 | 0.797521 | 0.300614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c060ddce60243c22acf2298bfd181a17b757f40 | 1,917 | py | Python | modules/evaluate/evaluate_step.py | Azure/aml-object-classification-pipeline | f94e4327ebfb5534b52c5c70e82832a86c64a2d1 | [
"MIT"
] | 5 | 2020-05-20T12:41:31.000Z | 2022-03-18T17:35:26.000Z | modules/evaluate/evaluate_step.py | Azure/aml-object-classification-pipeline | f94e4327ebfb5534b52c5c70e82832a86c64a2d1 | [
"MIT"
] | null | null | null | modules/evaluate/evaluate_step.py | Azure/aml-object-classification-pipeline | f94e4327ebfb5534b52c5c70e82832a86c64a2d1 | [
"MIT"
] | 5 | 2020-06-03T12:19:20.000Z | 2021-12-30T02:58:06.000Z | import os
from azureml.pipeline.steps import PythonScriptStep
from azureml.core.runconfig import RunConfiguration
from azureml.core.conda_dependencies import CondaDependencies
from azureml.pipeline.core import PipelineData
from azureml.pipeline.core import PipelineParameter
from azureml.pipeline.steps import EstimatorS... | 34.232143 | 87 | 0.708399 | 225 | 1,917 | 5.817778 | 0.355556 | 0.082506 | 0.05806 | 0.036669 | 0.154316 | 0.064171 | 0.064171 | 0.064171 | 0 | 0 | 0 | 0.001333 | 0.217527 | 1,917 | 55 | 88 | 34.854545 | 0.871333 | 0.261346 | 0 | 0.055556 | 0 | 0 | 0.079179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.222222 | 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 |
4c0955be4956893e543176a5a678b0a7caa5514d | 4,806 | py | Python | configs/mobilenet_cfbi.py | yoxu515/CFBI | 0bab1e3c9fc3e3ba0629f716d60221e8f8d9d586 | [
"BSD-3-Clause"
] | 312 | 2020-03-15T03:51:52.000Z | 2022-03-23T07:33:39.000Z | configs/mobilenet_cfbi.py | geekJZY/CFBI | 90a0cd6a3e7961f47f266c7620e8dc281dc43ac8 | [
"BSD-3-Clause"
] | 55 | 2020-06-27T06:39:27.000Z | 2022-03-24T19:02:15.000Z | configs/mobilenet_cfbi.py | geekJZY/CFBI | 90a0cd6a3e7961f47f266c7620e8dc281dc43ac8 | [
"BSD-3-Clause"
] | 41 | 2020-07-28T00:52:04.000Z | 2022-03-25T08:49:47.000Z | import torch
import argparse
import os
import sys
import cv2
import time
class Configuration():
def __init__(self):
self.EXP_NAME = 'mobilenetv2_cfbi'
self.DIR_ROOT = './'
self.DIR_DATA = os.path.join(self.DIR_ROOT, 'datasets')
self.DIR_DAVIS = os.path.join(self.DIR_DATA, 'DAVIS'... | 36.687023 | 123 | 0.645651 | 678 | 4,806 | 4.247788 | 0.300885 | 0.096875 | 0.034722 | 0.048611 | 0.13125 | 0.104861 | 0.067014 | 0.030208 | 0 | 0 | 0 | 0.036302 | 0.266334 | 4,806 | 130 | 124 | 36.969231 | 0.780488 | 0.011236 | 0 | 0 | 0 | 0 | 0.05813 | 0.01011 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017699 | false | 0 | 0.053097 | 0 | 0.079646 | 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 |
4c09c2107e354abe29a0559333bd163e132e44d0 | 4,551 | py | Python | tensorflow/python/util/tf_should_use_test.py | npow/tensorflow | 99ae68bba52bb6338af06f37bb104128d7af6fb4 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/util/tf_should_use_test.py | npow/tensorflow | 99ae68bba52bb6338af06f37bb104128d7af6fb4 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/util/tf_should_use_test.py | npow/tensorflow | 99ae68bba52bb6338af06f37bb104128d7af6fb4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 33.463235 | 80 | 0.702703 | 612 | 4,551 | 5.014706 | 0.269608 | 0.046921 | 0.035842 | 0.046921 | 0.478658 | 0.427175 | 0.405018 | 0.38058 | 0.36103 | 0.350603 | 0 | 0.009851 | 0.174687 | 4,551 | 135 | 81 | 33.711111 | 0.807242 | 0.202373 | 0 | 0.525253 | 0 | 0 | 0.067463 | 0 | 0 | 0 | 0 | 0 | 0.242424 | 1 | 0.161616 | false | 0 | 0.10101 | 0.030303 | 0.30303 | 0.010101 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c0a433f8f2a1c5fe05d98092959a53a97b1beea | 8,767 | bzl | Python | tools/jdk/local_java_repository.bzl | loongarch64/bazel | 44c30aceec076a0c25f506508704df0b9aeb6578 | [
"Apache-2.0"
] | 16,989 | 2015-09-01T19:57:15.000Z | 2022-03-31T23:54:00.000Z | tools/jdk/local_java_repository.bzl | loongarch64/bazel | 44c30aceec076a0c25f506508704df0b9aeb6578 | [
"Apache-2.0"
] | 12,562 | 2015-09-01T09:06:01.000Z | 2022-03-31T22:26:20.000Z | tools/jdk/local_java_repository.bzl | loongarch64/bazel | 44c30aceec076a0c25f506508704df0b9aeb6578 | [
"Apache-2.0"
] | 3,707 | 2015-09-02T19:20:01.000Z | 2022-03-31T17:06:14.000Z | # Copyright 2020 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 37.626609 | 130 | 0.666705 | 1,061 | 8,767 | 5.282752 | 0.240339 | 0.035682 | 0.027119 | 0.011418 | 0.255129 | 0.17413 | 0.138448 | 0.106334 | 0.072792 | 0.072792 | 0 | 0.006083 | 0.231208 | 8,767 | 232 | 131 | 37.788793 | 0.825519 | 0.285046 | 0 | 0.168919 | 0 | 0.006757 | 0.2881 | 0.096088 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0 | 0 | 0.060811 | 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 |
4c0ab106ed9ecd5a4593bfc5cb160cb433ae9bfc | 2,563 | py | Python | corehq/apps/fixtures/resources/v0_1.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | 1 | 2015-02-10T23:26:39.000Z | 2015-02-10T23:26:39.000Z | corehq/apps/fixtures/resources/v0_1.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/fixtures/resources/v0_1.py | SEL-Columbia/commcare-hq | 992ee34a679c37f063f86200e6df5a197d5e3ff6 | [
"BSD-3-Clause"
] | null | null | null | from couchdbkit import ResourceNotFound
from tastypie import fields as tp_f
from corehq.apps.api.resources import JsonResource
from corehq.apps.api.resources.v0_1 import (
CustomResourceMeta,
RequirePermissionAuthentication,
)
from corehq.apps.api.util import get_object_or_not_exist
from corehq.apps.fixtures.mo... | 39.430769 | 79 | 0.673039 | 309 | 2,563 | 5.359223 | 0.294498 | 0.025362 | 0.057971 | 0.068841 | 0.123188 | 0.036232 | 0 | 0 | 0 | 0 | 0 | 0.001542 | 0.240734 | 2,563 | 64 | 80 | 40.046875 | 0.849435 | 0.02263 | 0 | 0.037037 | 0 | 0 | 0.057131 | 0.011586 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.12963 | 0.018519 | 0.37037 | 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 |
4c0c9d4712283b7b6b90ddca4309f49cea6694d9 | 737 | py | Python | fastapi_router_controller/lib/controller_loader.py | KiraPC/fastapi-router-controller | e105701ebce2e03a0e00ac182c10941daf1b7e22 | [
"MIT"
] | 21 | 2021-03-30T19:39:46.000Z | 2022-03-30T22:27:39.000Z | fastapi_router_controller/lib/controller_loader.py | KiraPC/fastapi-router-controller | e105701ebce2e03a0e00ac182c10941daf1b7e22 | [
"MIT"
] | 12 | 2021-03-30T20:52:15.000Z | 2022-02-23T09:20:42.000Z | fastapi_router_controller/lib/controller_loader.py | KiraPC/fastapi-router-controller | e105701ebce2e03a0e00ac182c10941daf1b7e22 | [
"MIT"
] | 6 | 2021-04-03T19:17:55.000Z | 2021-12-20T10:20:57.000Z | import os
import importlib
class ControllerLoader:
"""
The ControllerLoader class.
"""
@staticmethod
def load(directory, package):
"""
It is an utility to load automatically all the python
module presents on a given directory
"""
for module in os.listdir(di... | 29.48 | 79 | 0.561737 | 76 | 737 | 5.289474 | 0.526316 | 0.044776 | 0.094527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004016 | 0.324288 | 737 | 24 | 80 | 30.708333 | 0.803213 | 0.160109 | 0 | 0 | 0 | 0 | 0.043706 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.428571 | 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 |
4c0e902c9bd14492f727e042bd245ed10c04c202 | 2,739 | py | Python | zenslackchat/eventsview.py | uktrade/zenslackchat | 8071757e1ea20a433783c6a7c47f25b046692682 | [
"MIT"
] | 2 | 2020-12-30T07:46:12.000Z | 2022-02-01T16:37:34.000Z | zenslackchat/eventsview.py | uktrade/zenslackchat | 8071757e1ea20a433783c6a7c47f25b046692682 | [
"MIT"
] | 7 | 2021-04-14T16:17:29.000Z | 2022-01-25T11:48:18.000Z | zenslackchat/eventsview.py | uktrade/zenslackchat | 8071757e1ea20a433783c6a7c47f25b046692682 | [
"MIT"
] | 1 | 2021-06-06T09:46:47.000Z | 2021-06-06T09:46:47.000Z | import pprint
import logging
from django.conf import settings
from rest_framework import status
from rest_framework.views import APIView
from rest_framework.response import Response
from zenslackchat.message import handler
from zenslackchat.models import SlackApp
from zenslackchat.models import ZendeskApp
class Eve... | 38.041667 | 79 | 0.649507 | 349 | 2,739 | 4.982808 | 0.424069 | 0.055204 | 0.029327 | 0.032202 | 0.049454 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004539 | 0.276013 | 2,739 | 71 | 80 | 38.577465 | 0.872416 | 0.359985 | 0 | 0 | 0 | 0 | 0.082938 | 0.021327 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.25 | 0 | 0.388889 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c0ea6f1c1da094761872bcebae0cfc6089b3d54 | 16,882 | py | Python | sdv/docker/sdvstate/internal/validator/airship/compute_check.py | opnfv/cirv-sdv | 31fb310d3fd1c9c1f12cfe0c654870e24f5efab6 | [
"Apache-2.0"
] | 2 | 2021-09-16T06:31:45.000Z | 2022-03-09T19:59:55.000Z | sdv/docker/sdvstate/internal/validator/airship/compute_check.py | opnfv/cirv-sdv | 31fb310d3fd1c9c1f12cfe0c654870e24f5efab6 | [
"Apache-2.0"
] | null | null | null | sdv/docker/sdvstate/internal/validator/airship/compute_check.py | opnfv/cirv-sdv | 31fb310d3fd1c9c1f12cfe0c654870e24f5efab6 | [
"Apache-2.0"
] | 2 | 2021-05-11T14:41:01.000Z | 2021-05-14T05:59:38.000Z | # Copyright 2020 University Of Delhi.
#
# 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... | 25.197015 | 91 | 0.65093 | 2,028 | 16,882 | 5.116371 | 0.130178 | 0.022263 | 0.029491 | 0.013878 | 0.555127 | 0.499325 | 0.463184 | 0.431284 | 0.4016 | 0.352062 | 0 | 0.005245 | 0.243395 | 16,882 | 669 | 92 | 25.234679 | 0.807093 | 0.216384 | 0 | 0.435484 | 0 | 0 | 0.137253 | 0.025965 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109677 | false | 0.022581 | 0.022581 | 0 | 0.241935 | 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 |
4c1112a8d3df95d531441fb2f11172b25c1ca8ae | 1,945 | py | Python | src/tests/client_side/test_main.py | JulianSobott/OpenDrive | 0593c994c3bccccc4351557c42d13f3535b6b6c1 | [
"Apache-2.0"
] | 1 | 2021-03-18T16:20:46.000Z | 2021-03-18T16:20:46.000Z | src/tests/client_side/test_main.py | JulianSobott/OpenDrive | 0593c994c3bccccc4351557c42d13f3535b6b6c1 | [
"Apache-2.0"
] | 2 | 2019-06-04T21:50:23.000Z | 2019-06-14T13:20:50.000Z | src/tests/client_side/test_main.py | JulianSobott/OpenDrive | 0593c994c3bccccc4351557c42d13f3535b6b6c1 | [
"Apache-2.0"
] | null | null | null | import os
import threading
import time
import unittest
from OpenDrive.client_side import file_changes_json as c_json
from OpenDrive.client_side import interface
from OpenDrive.client_side import main
from OpenDrive.client_side import paths as client_paths
from OpenDrive.server_side import paths as server_paths
from te... | 42.282609 | 108 | 0.748586 | 281 | 1,945 | 4.825623 | 0.341637 | 0.057522 | 0.056047 | 0.067847 | 0.271386 | 0.088496 | 0.044248 | 0 | 0 | 0 | 0 | 0.006832 | 0.172237 | 1,945 | 45 | 109 | 43.222222 | 0.835404 | 0.045758 | 0 | 0 | 0 | 0 | 0.046976 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.078947 | false | 0 | 0.289474 | 0 | 0.394737 | 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 |
4c1540d22f910c13d547019d54ee005a23d41b8e | 559 | py | Python | country/management/commands/populate_countries.py | okchaty/django-country | 740bc25956dc1b87f44486538a62037e0bd0ac94 | [
"MIT"
] | 1 | 2020-04-02T16:50:38.000Z | 2020-04-02T16:50:38.000Z | country/management/commands/populate_countries.py | okchaty/django-country | 740bc25956dc1b87f44486538a62037e0bd0ac94 | [
"MIT"
] | 4 | 2020-03-30T15:39:55.000Z | 2020-04-10T15:04:28.000Z | country/management/commands/populate_countries.py | okchaty/django-country | 740bc25956dc1b87f44486538a62037e0bd0ac94 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.core.management import call_command
from django.core.management.base import BaseCommand
from os import path
class Command(BaseCommand):
help = "Populates data"
def handle(self, *args, **options):
fixture_path = path.join(path.dirname(
path.dirn... | 27.95 | 56 | 0.615385 | 59 | 559 | 5.677966 | 0.559322 | 0.089552 | 0.134328 | 0.143284 | 0.110448 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002513 | 0.288014 | 559 | 19 | 57 | 29.421053 | 0.839196 | 0 | 0 | 0.125 | 0 | 0 | 0.067979 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.25 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c1606fa8a8ca96d6fb7ac7c7412b894e0bb3a10 | 417 | py | Python | formatter.py | Staist/Python-Text-Formatter | 6ae865d45301906eaa133551301dc785602f5b38 | [
"MIT"
] | null | null | null | formatter.py | Staist/Python-Text-Formatter | 6ae865d45301906eaa133551301dc785602f5b38 | [
"MIT"
] | null | null | null | formatter.py | Staist/Python-Text-Formatter | 6ae865d45301906eaa133551301dc785602f5b38 | [
"MIT"
] | null | null | null | dosyaadi = input("Enter file name: ")
dosyaadi = str(dosyaadi + ".txt")
with open(dosyaadi, 'r') as file :
dosyaicerigi = file.read()
silinecek = str(input("Enter the text that you wish to delete: "))
dosyaicerigi = dosyaicerigi.replace(silinecek, '')
with open(dosyaadi, 'w') as file:
file.write(dosyai... | 26.0625 | 67 | 0.647482 | 51 | 417 | 5.294118 | 0.568627 | 0.074074 | 0.118519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011869 | 0.191847 | 417 | 15 | 68 | 27.8 | 0.789318 | 0 | 0 | 0.166667 | 0 | 0 | 0.21393 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c168858057ebcae4ef4e91a7860a8034fcefa15 | 6,106 | py | Python | covid19/classification/helpers.py | salvacarrion/mltests | e4ac9711c1c80171f302edc88011fbe06e754490 | [
"MIT"
] | null | null | null | covid19/classification/helpers.py | salvacarrion/mltests | e4ac9711c1c80171f302edc88011fbe06e754490 | [
"MIT"
] | 1 | 2022-01-01T06:09:26.000Z | 2022-01-01T06:09:26.000Z | covid19/classification/helpers.py | salvacarrion/mltests | e4ac9711c1c80171f302edc88011fbe06e754490 | [
"MIT"
] | null | null | null | import tensorflow as tf
@tf.function
def BinaryAccuracy_Infiltrates(y_true, y_pred, i=0):
return tf.keras.metrics.binary_accuracy(y_true[:, i], y_pred[:, i])
@tf.function
def BinaryAccuracy_Pneumonia(y_true, y_pred, i=1):
return tf.keras.metrics.binary_accuracy(y_true[:, i], y_pred[:, i])
@tf.function
def... | 35.5 | 104 | 0.664265 | 748 | 6,106 | 5.259358 | 0.221925 | 0.040925 | 0.057956 | 0.09456 | 0.396289 | 0.346467 | 0.252415 | 0.217844 | 0.182766 | 0.166497 | 0 | 0.016698 | 0.225188 | 6,106 | 171 | 105 | 35.707602 | 0.814838 | 0.092041 | 0 | 0.234783 | 0 | 0 | 0.089247 | 0.011586 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113043 | false | 0 | 0.113043 | 0.034783 | 0.313043 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c16d8f05cc4bb4747f1b27b93145e440fc653d6 | 3,528 | py | Python | null/twitter/twmedia-dl.py | mikoim/funstuff | 3c391c76784a4bb37983c1a251773bfa61182ce1 | [
"MIT"
] | null | null | null | null/twitter/twmedia-dl.py | mikoim/funstuff | 3c391c76784a4bb37983c1a251773bfa61182ce1 | [
"MIT"
] | null | null | null | null/twitter/twmedia-dl.py | mikoim/funstuff | 3c391c76784a4bb37983c1a251773bfa61182ce1 | [
"MIT"
] | null | null | null | import re
import json
import time
import sys
import httplib2
from twitter import *
import magic
class TwitterMediaDL:
http = httplib2.Http(".cache")
baseUrl = "https://twitter.com"
consumer_key = ""
consumer_secret = ""
access_token_key = ""
access_token_secret = ""
t = Twitter(auth=OAu... | 30.947368 | 133 | 0.552721 | 453 | 3,528 | 4.125828 | 0.302428 | 0.018727 | 0.032103 | 0.030498 | 0.264312 | 0.23114 | 0.197967 | 0.173355 | 0.173355 | 0.173355 | 0 | 0.012857 | 0.294501 | 3,528 | 113 | 134 | 31.221239 | 0.738047 | 0 | 0 | 0.146341 | 0 | 0.02439 | 0.161281 | 0.070295 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.085366 | 0.012195 | 0.329268 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c189de34ca4832b1a00970032415cde76a25896 | 9,133 | py | Python | girder/models/group.py | scottwittenburg/girder | a5062badc97bf2a87a385648f2ff3f9ff1990a75 | [
"Apache-2.0"
] | null | null | null | girder/models/group.py | scottwittenburg/girder | a5062badc97bf2a87a385648f2ff3f9ff1990a75 | [
"Apache-2.0"
] | null | null | null | girder/models/group.py | scottwittenburg/girder | a5062badc97bf2a87a385648f2ff3f9ff1990a75 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright 2013 Kitware 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 cop... | 34.858779 | 79 | 0.581518 | 1,092 | 9,133 | 4.84707 | 0.260989 | 0.027206 | 0.017193 | 0.012847 | 0.173626 | 0.108823 | 0.085018 | 0.048744 | 0.048744 | 0.033251 | 0 | 0.003321 | 0.307566 | 9,133 | 261 | 80 | 34.992337 | 0.83365 | 0.394394 | 0 | 0.218487 | 0 | 0 | 0.122746 | 0 | 0 | 0 | 0 | 0 | 0.008403 | 1 | 0.084034 | false | 0 | 0.02521 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c1a065c357d38d64659fb6993766afa52a31235 | 9,999 | py | Python | main.py | acitv/plugin.video.aci | c836096c90affd80949e51cd24517709a63eff52 | [
"MIT"
] | null | null | null | main.py | acitv/plugin.video.aci | c836096c90affd80949e51cd24517709a63eff52 | [
"MIT"
] | null | null | null | main.py | acitv/plugin.video.aci | c836096c90affd80949e51cd24517709a63eff52 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import urllib
import urlparse
# import xbmc
import xbmcgui
import xbmcplugin
import aci
# Get the plugin url in plugin:// notation.
_url = sys.argv[0]
# Get the plugin handle as an integer number.
_handle = int(sys.argv[1])
# Get an instance of ACI.
ATV = aci.ACI()
ATV.load_aci()... | 38.019011 | 116 | 0.633863 | 1,252 | 9,999 | 4.980032 | 0.241214 | 0.017963 | 0.015878 | 0.015718 | 0.449078 | 0.422935 | 0.411067 | 0.368565 | 0.345469 | 0.345469 | 0 | 0.013019 | 0.270227 | 9,999 | 262 | 117 | 38.164122 | 0.841442 | 0.523352 | 0 | 0.206897 | 0 | 0.011494 | 0.138362 | 0.013167 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08046 | false | 0 | 0.068966 | 0 | 0.183908 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c1ab77adfecf5628021417f2b5bb34c29a975d3 | 17,151 | py | Python | coremltools/converters/mil/frontend/tensorflow/converter.py | VadimLevin/coremltools | 66c17b0fa040a0d8088d33590ab5c355478a9e5c | [
"BSD-3-Clause"
] | 3 | 2018-10-02T17:23:01.000Z | 2020-08-15T04:47:07.000Z | coremltools/converters/mil/frontend/tensorflow/converter.py | holzschu/coremltools | 5ece9069a1487d5083f00f56afe07832d88e3dfa | [
"BSD-3-Clause"
] | null | null | null | coremltools/converters/mil/frontend/tensorflow/converter.py | holzschu/coremltools | 5ece9069a1487d5083f00f56afe07832d88e3dfa | [
"BSD-3-Clause"
] | 1 | 2021-05-07T15:38:20.000Z | 2021-05-07T15:38:20.000Z | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import logging
from coremltools.converters.mil.input_types import (
InputType,
TensorType,
... | 41.527845 | 123 | 0.58329 | 2,214 | 17,151 | 4.368112 | 0.160795 | 0.023162 | 0.028436 | 0.028953 | 0.210113 | 0.142798 | 0.08479 | 0.063902 | 0.057078 | 0.046117 | 0 | 0.005791 | 0.325404 | 17,151 | 412 | 124 | 41.628641 | 0.830078 | 0.241444 | 0 | 0.133333 | 0 | 0 | 0.085858 | 0.002511 | 0 | 0 | 0 | 0 | 0.003922 | 1 | 0.066667 | false | 0.015686 | 0.058824 | 0.003922 | 0.168627 | 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 |
4c1d42a55dc8480f71e72b9866ed7b027a303687 | 34,975 | py | Python | moto/dynamodb2/parsing/expressions.py | orenmazor/moto | 4778377e8ecaf729d26602a2c5202b72c1438503 | [
"Apache-2.0"
] | 1 | 2021-12-12T04:23:06.000Z | 2021-12-12T04:23:06.000Z | moto/dynamodb2/parsing/expressions.py | orenmazor/moto | 4778377e8ecaf729d26602a2c5202b72c1438503 | [
"Apache-2.0"
] | 17 | 2020-08-28T12:53:56.000Z | 2020-11-10T01:04:46.000Z | moto/dynamodb2/parsing/expressions.py | orenmazor/moto | 4778377e8ecaf729d26602a2c5202b72c1438503 | [
"Apache-2.0"
] | 1 | 2021-07-06T22:44:47.000Z | 2021-07-06T22:44:47.000Z | import logging
from abc import abstractmethod
import abc
import six
from collections import deque
from moto.dynamodb2.parsing.ast_nodes import (
UpdateExpression,
UpdateExpressionSetClause,
UpdateExpressionSetActions,
UpdateExpressionSetAction,
UpdateExpressionRemoveActions,
UpdateExpressionRem... | 33.597502 | 120 | 0.651237 | 3,689 | 34,975 | 5.924912 | 0.123069 | 0.019399 | 0.026765 | 0.018301 | 0.521069 | 0.464657 | 0.386146 | 0.349408 | 0.314819 | 0.253237 | 0 | 0.002219 | 0.27857 | 34,975 | 1,040 | 121 | 33.629808 | 0.864022 | 0.264989 | 0 | 0.480836 | 0 | 0 | 0.01886 | 0.00088 | 0 | 0 | 0 | 0 | 0.013937 | 1 | 0.170732 | false | 0.001742 | 0.013937 | 0.062718 | 0.38676 | 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 |
4c1e3b72b32866f599c7e926ceb63efd29d9c600 | 5,332 | py | Python | dftbplus_step/tk_optimization.py | molssi-seamm/dftbplus_step | e5b9c7462d92c25fc6f27db5e4324b05bb42e224 | [
"BSD-3-Clause"
] | 1 | 2022-01-24T05:14:03.000Z | 2022-01-24T05:14:03.000Z | dftbplus_step/tk_optimization.py | molssi-seamm/dftbplus_step | e5b9c7462d92c25fc6f27db5e4324b05bb42e224 | [
"BSD-3-Clause"
] | 10 | 2020-12-16T21:36:37.000Z | 2022-03-17T01:53:54.000Z | dftbplus_step/tk_optimization.py | molssi-seamm/dftbplus_step | e5b9c7462d92c25fc6f27db5e4324b05bb42e224 | [
"BSD-3-Clause"
] | 1 | 2022-01-14T15:26:49.000Z | 2022-01-14T15:26:49.000Z | # -*- coding: utf-8 -*-
"""The graphical part of a DFTB+ Optimization node"""
import logging
import tkinter as tk
import tkinter.ttk as ttk
import dftbplus_step
logger = logging.getLogger(__name__)
class TkOptimization(dftbplus_step.TkEnergy):
def __init__(
self,
tk_flowchart=None,
nod... | 32.120482 | 100 | 0.515941 | 498 | 5,332 | 5.427711 | 0.293173 | 0.020718 | 0.029597 | 0.047355 | 0.145764 | 0.145764 | 0.145764 | 0.145764 | 0.135775 | 0.135775 | 0 | 0.01346 | 0.386909 | 5,332 | 165 | 101 | 32.315152 | 0.813399 | 0.317329 | 0 | 0.278846 | 0 | 0 | 0.098837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048077 | false | 0 | 0.038462 | 0 | 0.115385 | 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 |
4c1fe311f29bf7609a66d633ca361b9c555f8538 | 3,512 | py | Python | skywalking/client/grpc.py | cooolr/skywalking-python | 42176ff4b732000f2a75eac1affee2a681379df7 | [
"Apache-2.0"
] | null | null | null | skywalking/client/grpc.py | cooolr/skywalking-python | 42176ff4b732000f2a75eac1affee2a681379df7 | [
"Apache-2.0"
] | null | null | null | skywalking/client/grpc.py | cooolr/skywalking-python | 42176ff4b732000f2a75eac1affee2a681379df7 | [
"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... | 39.909091 | 110 | 0.768508 | 379 | 3,512 | 6.955145 | 0.377309 | 0.063733 | 0.058422 | 0.027314 | 0.23824 | 0.23824 | 0.174507 | 0.149469 | 0.081184 | 0.048558 | 0 | 0.003759 | 0.166856 | 3,512 | 87 | 111 | 40.367816 | 0.897129 | 0.214123 | 0 | 0.296296 | 0 | 0 | 0.016405 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.240741 | 0 | 0.481481 | 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 |
4c228e2ac32c2ad15f711401f0894056b88a3776 | 1,388 | py | Python | ng/distributions/Distribution.py | forons/noise-generator | 033906165adaf6e620c03bf0b91f19b6d9890cf0 | [
"MIT"
] | null | null | null | ng/distributions/Distribution.py | forons/noise-generator | 033906165adaf6e620c03bf0b91f19b6d9890cf0 | [
"MIT"
] | null | null | null | ng/distributions/Distribution.py | forons/noise-generator | 033906165adaf6e620c03bf0b91f19b6d9890cf0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
from enum import Enum
from .NormalDist import NormalDist
from .UniformDist import UniformDist
class Distribution(Enum):
UNIFORM = 0
GAUSSIAN = 1
POISSON = 2
@staticmethod
def determine_distribution(distribution, distribution_params):
... | 42.060606 | 92 | 0.659942 | 142 | 1,388 | 6.34507 | 0.352113 | 0.159822 | 0.160932 | 0.103219 | 0.417314 | 0.321865 | 0.321865 | 0.228635 | 0.228635 | 0.228635 | 0 | 0.010557 | 0.24928 | 1,388 | 32 | 93 | 43.375 | 0.854127 | 0.03098 | 0 | 0.222222 | 0 | 0 | 0.069993 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0.037037 | 0.148148 | 0 | 0.407407 | 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 |
4c22a7a412610e81fee1ef9b39c31356e4fa70c7 | 258 | py | Python | test/rename.py | Riteme/test | b511d6616a25f4ae8c3861e2029789b8ee4dcb8d | [
"BSD-Source-Code"
] | 3 | 2018-08-30T09:43:20.000Z | 2019-12-03T04:53:43.000Z | test/rename.py | Riteme/test | b511d6616a25f4ae8c3861e2029789b8ee4dcb8d | [
"BSD-Source-Code"
] | null | null | null | test/rename.py | Riteme/test | b511d6616a25f4ae8c3861e2029789b8ee4dcb8d | [
"BSD-Source-Code"
] | null | null | null | import os
import sys
filename = sys.argv[1]
from_id = int(sys.argv[2])
to_id = int(sys.argv[2])
for i in range(from_id, to_id + 1):
sys.system("mv {0}.in{1} {0}{1}.in".format(filename, i))
sys.system("mv {0}.out{1} {0}{1}.out".format(filename, i))
| 23.454545 | 62 | 0.624031 | 53 | 258 | 2.962264 | 0.377358 | 0.133758 | 0.101911 | 0.152866 | 0.165605 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 0.147287 | 258 | 10 | 63 | 25.8 | 0.659091 | 0 | 0 | 0 | 0 | 0 | 0.178295 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 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 |
4c23f93517014abc612473feea3755466fd55cec | 683 | py | Python | dash_docs/chapters/dash_core_components/Textarea/examples/textarea_basic.py | kozo2/dash-docs | 5140cfd1fda439233e8b95e2443332a32a2453f5 | [
"MIT"
] | 1 | 2021-04-11T03:08:43.000Z | 2021-04-11T03:08:43.000Z | dash_docs/chapters/dash_core_components/Textarea/examples/textarea_basic.py | kozo2/dash-docs | 5140cfd1fda439233e8b95e2443332a32a2453f5 | [
"MIT"
] | null | null | null | dash_docs/chapters/dash_core_components/Textarea/examples/textarea_basic.py | kozo2/dash-docs | 5140cfd1fda439233e8b95e2443332a32a2453f5 | [
"MIT"
] | null | null | null | import dash
from dash.dependencies import Input, Output
import dash_html_components as html
import dash_core_components as dcc
app = dash.Dash(__name__)
app.layout = html.Div([
dcc.Textarea(
id='textarea-example',
value='Textarea content initialized\nwith multiple lines of text',
style={'w... | 26.269231 | 76 | 0.682284 | 87 | 683 | 5.149425 | 0.574713 | 0.133929 | 0.075893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010526 | 0.165447 | 683 | 25 | 77 | 27.32 | 0.775439 | 0 | 0 | 0 | 0 | 0 | 0.308931 | 0.06735 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.190476 | 0.047619 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c244af15987164d1a6b58af8468dc053923ce6d | 470 | py | Python | eth/vm/forks/petersburg/blocks.py | ggs134/py-evm | 5ad87356181b03c14a2452131f50fe8762127c84 | [
"MIT"
] | 1,641 | 2017-11-24T04:24:22.000Z | 2022-03-31T14:59:30.000Z | eth/vm/forks/petersburg/blocks.py | ggs134/py-evm | 5ad87356181b03c14a2452131f50fe8762127c84 | [
"MIT"
] | 1,347 | 2017-11-23T10:37:36.000Z | 2022-03-20T16:31:44.000Z | eth/vm/forks/petersburg/blocks.py | ggs134/py-evm | 5ad87356181b03c14a2452131f50fe8762127c84 | [
"MIT"
] | 567 | 2017-11-22T18:03:27.000Z | 2022-03-28T17:49:08.000Z | from rlp.sedes import (
CountableList,
)
from eth.rlp.headers import (
BlockHeader,
)
from eth.vm.forks.byzantium.blocks import (
ByzantiumBlock,
)
from .transactions import (
PetersburgTransaction,
)
class PetersburgBlock(ByzantiumBlock):
transaction_builder = PetersburgTransaction
fields = ... | 20.434783 | 61 | 0.697872 | 39 | 470 | 8.358974 | 0.564103 | 0.042945 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 470 | 22 | 62 | 21.363636 | 0.867021 | 0 | 0 | 0 | 0 | 0 | 0.051064 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.210526 | 0 | 0.368421 | 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 |
4c249535bfee369b506769f07912c622ac79fe51 | 5,107 | py | Python | tests/runner.py | crnbaker/MONAI | a4b1144efdc27b197410033ae08bd587c8a1634a | [
"Apache-2.0"
] | 1 | 2020-12-03T21:28:09.000Z | 2020-12-03T21:28:09.000Z | tests/runner.py | crnbaker/MONAI | a4b1144efdc27b197410033ae08bd587c8a1634a | [
"Apache-2.0"
] | null | null | null | tests/runner.py | crnbaker/MONAI | a4b1144efdc27b197410033ae08bd587c8a1634a | [
"Apache-2.0"
] | 1 | 2020-06-11T13:03:02.000Z | 2020-06-11T13:03:02.000Z | # Copyright 2020 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, s... | 35.22069 | 118 | 0.662033 | 650 | 5,107 | 5.118462 | 0.36 | 0.031259 | 0.030658 | 0.033664 | 0.116622 | 0.107003 | 0.06853 | 0.055906 | 0.027653 | 0 | 0 | 0.007513 | 0.218132 | 5,107 | 144 | 119 | 35.465278 | 0.825695 | 0.196985 | 0 | 0.088235 | 0 | 0 | 0.22782 | 0.012042 | 0 | 0 | 0 | 0 | 0.009804 | 1 | 0.058824 | false | 0 | 0.068627 | 0 | 0.166667 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c25af4aec5e8d2b72efcbe5e7b1a661e7cc9946 | 963 | py | Python | venv/Lib/site-packages/pandas/core/array_algos/transforms.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pandas/core/array_algos/transforms.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pandas/core/array_algos/transforms.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | null | null | null | """
transforms.py is for shape-preserving functions.
"""
import numpy as np
def shift(values: np.ndarray, periods: int, axis: int, fill_value) -> np.ndarray:
new_values = values
if periods == 0 or values.size == 0:
return new_values.copy()
# make sure array sent to np.roll is c_con... | 24.692308 | 82 | 0.599169 | 126 | 963 | 4.396825 | 0.396825 | 0.194946 | 0.036101 | 0.046931 | 0.104693 | 0.104693 | 0.104693 | 0.104693 | 0 | 0 | 0 | 0.006015 | 0.30945 | 963 | 38 | 83 | 25.342105 | 0.827068 | 0.124611 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.041667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c26b67f1983ed6d013acb44413f671a2be21260 | 7,534 | py | Python | splunk_sdk/action/v1beta2/gen_action_service_api.py | ianlee4/splunk-cloud-sdk-python | d2870cd1e506d3844869d17becdcdf9d8d60a9a1 | [
"ECL-2.0",
"Apache-2.0"
] | 12 | 2019-08-01T06:16:17.000Z | 2021-04-16T20:00:02.000Z | splunk_sdk/action/v1beta2/gen_action_service_api.py | ianlee4/splunk-cloud-sdk-python | d2870cd1e506d3844869d17becdcdf9d8d60a9a1 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2020-09-27T12:03:24.000Z | 2021-08-06T18:01:32.000Z | splunk_sdk/action/v1beta2/gen_action_service_api.py | ianlee4/splunk-cloud-sdk-python | d2870cd1e506d3844869d17becdcdf9d8d60a9a1 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2019-08-20T17:49:27.000Z | 2022-03-27T16:39:10.000Z | # coding: utf-8
# Copyright © 2021 Splunk, 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 agre... | 37.1133 | 177 | 0.668835 | 930 | 7,534 | 5.233333 | 0.195699 | 0.081364 | 0.054654 | 0.033285 | 0.671872 | 0.66242 | 0.656667 | 0.629957 | 0.5451 | 0.544483 | 0 | 0.00885 | 0.235068 | 7,534 | 202 | 178 | 37.29703 | 0.835502 | 0.218211 | 0 | 0.583333 | 0 | 0 | 0.078834 | 0.063818 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.12037 | 0 | 0.305556 | 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 |
4c2a0b02facefb7ade979ad8ea41989718dd6e87 | 13,974 | py | Python | frog/views/gallery.py | dreamhaven/Frog | 66e50610d5059aa371e0a50b65ceddd4813b2bc1 | [
"MIT"
] | 3 | 2021-10-03T23:11:24.000Z | 2021-10-04T12:14:56.000Z | frog/views/gallery.py | dreamhaven/Frog | 66e50610d5059aa371e0a50b65ceddd4813b2bc1 | [
"MIT"
] | 7 | 2019-10-15T20:51:36.000Z | 2020-02-27T18:25:26.000Z | frog/views/gallery.py | dreamhaven/Frog | 66e50610d5059aa371e0a50b65ceddd4813b2bc1 | [
"MIT"
] | 1 | 2020-09-30T11:23:55.000Z | 2020-09-30T11:23:55.000Z | ##################################################################################################
# Copyright (c) 2012 Brett Dixon
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without r... | 30.312364 | 98 | 0.592672 | 1,640 | 13,974 | 4.990244 | 0.22622 | 0.02346 | 0.029326 | 0.01393 | 0.21652 | 0.192326 | 0.134164 | 0.084189 | 0.075391 | 0.075391 | 0 | 0.002138 | 0.297123 | 13,974 | 460 | 99 | 30.378261 | 0.831093 | 0.203163 | 0 | 0.245902 | 0 | 0 | 0.033586 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039344 | false | 0.003279 | 0.068852 | 0 | 0.170492 | 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 |
4c2be9c37717776782c0be6604333fcf9bf8eb67 | 2,232 | py | Python | pirates/speedchat/PSpeedChatQuestMenu.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/speedchat/PSpeedChatQuestMenu.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/speedchat/PSpeedChatQuestMenu.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.speedchat.PSpeedChatQuestMenu
from otp.speedchat.SCMenu import SCMenu
from otp.speedchat.SCTerminal import *
from otp.speedchat.... | 39.857143 | 106 | 0.670699 | 242 | 2,232 | 6.053719 | 0.380165 | 0.037543 | 0.065529 | 0.081911 | 0.081911 | 0.081911 | 0 | 0 | 0 | 0 | 0 | 0.032806 | 0.235215 | 2,232 | 56 | 107 | 39.857143 | 0.825425 | 0.09543 | 0 | 0.065217 | 0 | 0 | 0.057568 | 0.057568 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.173913 | 0 | 0.369565 | 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 |
4c2cd54fa6ab0d6c947d651db03fbbb610a1bf1d | 5,309 | py | Python | spotifyembed/spotifyembed.py | R3XET/coffee-cogs | e7658213449ec140edaaf322514eaafb575f99bd | [
"MIT"
] | null | null | null | spotifyembed/spotifyembed.py | R3XET/coffee-cogs | e7658213449ec140edaaf322514eaafb575f99bd | [
"MIT"
] | null | null | null | spotifyembed/spotifyembed.py | R3XET/coffee-cogs | e7658213449ec140edaaf322514eaafb575f99bd | [
"MIT"
] | null | null | null | # from redbot.core import Config
from redbot.core import Config, commands, checks
import asyncio
import aiohttp
import discord
from discord import Webhook, AsyncWebhookAdapter
import re
class Spotifyembed(commands.Cog):
"""Automatically send a reply to Spotify links with a link to the embed preview. Convenient for... | 41.155039 | 197 | 0.595592 | 567 | 5,309 | 5.529101 | 0.303351 | 0.022967 | 0.019139 | 0.025518 | 0.440191 | 0.366507 | 0.349282 | 0.33429 | 0.33429 | 0.268581 | 0 | 0.00896 | 0.306272 | 5,309 | 128 | 198 | 41.476563 | 0.841705 | 0.098135 | 0 | 0.350515 | 0 | 0.010309 | 0.057646 | 0.022662 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010309 | false | 0 | 0.061856 | 0 | 0.185567 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c2d9f91e47f374b558a37fc891829c105809bba | 4,714 | py | Python | rlcard/utils/seeding.py | AdrianP-/rlcard | 5b99dc8faa4c97ecac2d1189967b90c45d79624b | [
"MIT"
] | null | null | null | rlcard/utils/seeding.py | AdrianP-/rlcard | 5b99dc8faa4c97ecac2d1189967b90c45d79624b | [
"MIT"
] | null | null | null | rlcard/utils/seeding.py | AdrianP-/rlcard | 5b99dc8faa4c97ecac2d1189967b90c45d79624b | [
"MIT"
] | null | null | null | #The MIT License
#
#Copyright (c) 2020 DATA Lab at Texas A&M University
#Copyright (c) 2016 OpenAI (https://openai.com)
#
#Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, inclu... | 41.350877 | 461 | 0.694103 | 708 | 4,714 | 4.559322 | 0.427966 | 0.024783 | 0.018587 | 0.011772 | 0.099133 | 0.072491 | 0.057001 | 0.057001 | 0.057001 | 0.057001 | 0 | 0.01791 | 0.206406 | 4,714 | 113 | 462 | 41.716814 | 0.844961 | 0.535214 | 0 | 0 | 0 | 0 | 0.07882 | 0 | 0 | 0 | 0 | 0.00885 | 0 | 1 | 0.12069 | false | 0 | 0.068966 | 0 | 0.310345 | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c2f421ab198ddb3faa7c72a6c2f2f1822a0634f | 8,573 | py | Python | ops/transforms.py | ex4sperans/freesound-classification | 71b9920ce0ae376aa7f1a3a2943f0f92f4820813 | [
"Apache-2.0"
] | 55 | 2019-06-30T02:36:10.000Z | 2021-12-07T07:24:42.000Z | ops/transforms.py | ex4sperans/freesound-classification | 71b9920ce0ae376aa7f1a3a2943f0f92f4820813 | [
"Apache-2.0"
] | 13 | 2020-01-28T22:48:34.000Z | 2022-03-11T23:50:36.000Z | ops/transforms.py | ex4sperans/freesound-classification | 71b9920ce0ae376aa7f1a3a2943f0f92f4820813 | [
"Apache-2.0"
] | 7 | 2019-07-21T15:54:16.000Z | 2020-07-22T13:02:37.000Z | import random
import math
from functools import partial
import json
import pysndfx
import librosa
import numpy as np
import torch
from ops.audio import (
read_audio, compute_stft, trim_audio, mix_audio_and_labels,
shuffle_audio, cutout
)
SAMPLE_RATE = 44100
class Augmentation:
"""A base class for data... | 22.679894 | 84 | 0.561647 | 956 | 8,573 | 4.779289 | 0.16841 | 0.029109 | 0.03852 | 0.063033 | 0.443861 | 0.370759 | 0.324141 | 0.315605 | 0.26264 | 0.233749 | 0 | 0.010941 | 0.328356 | 8,573 | 378 | 85 | 22.679894 | 0.782563 | 0.019713 | 0 | 0.405405 | 0 | 0 | 0.045384 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144144 | false | 0.009009 | 0.040541 | 0.004505 | 0.342342 | 0.013514 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c30506aa8598c0388ff7d67c1b22762e60080e5 | 2,011 | py | Python | figures/pp.py | mathematicalmichael/thesis | 2906b10f94960c3e75bdb48e5b8b583f59b9441e | [
"MIT"
] | 6 | 2019-04-24T08:05:49.000Z | 2020-12-28T20:34:29.000Z | figures/pp.py | mathematicalmichael/thesis | 2906b10f94960c3e75bdb48e5b8b583f59b9441e | [
"MIT"
] | 59 | 2019-12-27T23:15:05.000Z | 2021-11-24T17:52:57.000Z | figures/pp.py | mathematicalmichael/thesis | 2906b10f94960c3e75bdb48e5b8b583f59b9441e | [
"MIT"
] | null | null | null | #!/usr/env/bin python
import os
# os.environ['OMP_NUM_THREADS'] = '1'
from newpoisson import poisson
import numpy as np
from fenics import set_log_level, File, RectangleMesh, Point
mesh = RectangleMesh(Point(0,0), Point(1,1), 36, 36)
# comm = mesh.mpi_comm()
set_log_level(40) # ERROR=40
# from mpi4py import MPI
# com... | 32.967213 | 111 | 0.61462 | 264 | 2,011 | 4.560606 | 0.435606 | 0.041528 | 0.056478 | 0.024917 | 0.038206 | 0.038206 | 0 | 0 | 0 | 0 | 0 | 0.019987 | 0.228742 | 2,011 | 60 | 112 | 33.516667 | 0.756286 | 0.103431 | 0 | 0.047619 | 0 | 0 | 0.169085 | 0.026228 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.142857 | 0 | 0.190476 | 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 |
4c308137f6fcaffcc096aaa674f08780ed2a8ef7 | 3,606 | py | Python | additions/irreducible_check.py | kluhan/seraphim | 412b693effb15f80d348d6d885d7c781774bb8aa | [
"MIT"
] | null | null | null | additions/irreducible_check.py | kluhan/seraphim | 412b693effb15f80d348d6d885d7c781774bb8aa | [
"MIT"
] | null | null | null | additions/irreducible_check.py | kluhan/seraphim | 412b693effb15f80d348d6d885d7c781774bb8aa | [
"MIT"
] | null | null | null | """
Irreduzibilitätskriterien
Implementiert wurden das Eisenstein- und das Perronkriterium
Quellen:
https://rms.unibuc.ro/bulletin/pdf/53-3/perron.pdf
http://math-www.uni-paderborn.de/~chris/Index33/V/par5.pdf
Übergeben werden Polynome vom Typ Polynomial, keine direkten Listen von Koeff... | 27.112782 | 121 | 0.646977 | 457 | 3,606 | 5.041575 | 0.354486 | 0.06684 | 0.029514 | 0.013889 | 0.194878 | 0.106337 | 0.074219 | 0.074219 | 0.074219 | 0.074219 | 0 | 0.02719 | 0.265668 | 3,606 | 132 | 122 | 27.318182 | 0.8429 | 0.395729 | 0 | 0.287671 | 0 | 0 | 0.007667 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 1 | 0.082192 | false | 0 | 0.041096 | 0 | 0.356164 | 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 |
4c30bd2dd03a5aeb1d8422cd8b6cb2d539652200 | 39,763 | py | Python | numba/stencils/stencil.py | auderson/numba | 3d67c9850ab56457f418cf40af6245fd9c337705 | [
"BSD-2-Clause"
] | 6,620 | 2015-01-04T08:51:04.000Z | 2022-03-31T12:52:18.000Z | numba/stencils/stencil.py | auderson/numba | 3d67c9850ab56457f418cf40af6245fd9c337705 | [
"BSD-2-Clause"
] | 6,457 | 2015-01-04T03:18:41.000Z | 2022-03-31T17:38:42.000Z | numba/stencils/stencil.py | auderson/numba | 3d67c9850ab56457f418cf40af6245fd9c337705 | [
"BSD-2-Clause"
] | 930 | 2015-01-25T02:33:03.000Z | 2022-03-30T14:10:32.000Z | #
# Copyright (c) 2017 Intel Corporation
# SPDX-License-Identifier: BSD-2-Clause
#
import copy
import numpy as np
from llvmlite import ir as lir
from numba.core import types, typing, utils, ir, config, ir_utils, registry
from numba.core.typing.templates import (CallableTemplate, signature,
... | 47.849579 | 141 | 0.554133 | 4,589 | 39,763 | 4.605143 | 0.128786 | 0.011593 | 0.010789 | 0.009937 | 0.301472 | 0.238253 | 0.210997 | 0.166138 | 0.147447 | 0.118772 | 0 | 0.00355 | 0.369489 | 39,763 | 830 | 142 | 47.907229 | 0.839376 | 0.192968 | 0 | 0.254386 | 0 | 0 | 0.075153 | 0.006234 | 0 | 0 | 0 | 0 | 0.003509 | 1 | 0.033333 | false | 0.007018 | 0.026316 | 0 | 0.101754 | 0.024561 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c30fc13cf631ce207921b9c3acc713c3fb36b5f | 3,754 | py | Python | examples/bicycle/bicycle_dynamics.py | lujieyang/irs_lqr | bc9cade6a3bb2fa2d76bdd5fe453030a7b28700f | [
"MIT"
] | 6 | 2021-11-20T19:05:06.000Z | 2022-01-31T00:10:41.000Z | examples/bicycle/bicycle_dynamics.py | lujieyang/irs_lqr | bc9cade6a3bb2fa2d76bdd5fe453030a7b28700f | [
"MIT"
] | 10 | 2021-07-24T19:50:36.000Z | 2021-11-20T19:06:40.000Z | examples/bicycle/bicycle_dynamics.py | lujieyang/irs_lqr | bc9cade6a3bb2fa2d76bdd5fe453030a7b28700f | [
"MIT"
] | 1 | 2021-12-15T22:09:31.000Z | 2021-12-15T22:09:31.000Z | import numpy as np
import pydrake.symbolic as ps
import torch
import time
from irs_lqr.dynamical_system import DynamicalSystem
class BicycleDynamics(DynamicalSystem):
def __init__(self, h):
super().__init__()
"""
x = [x pos, y pos, heading, speed, steering_angle]
u = [acceleration,... | 28.225564 | 91 | 0.483751 | 522 | 3,754 | 3.371648 | 0.191571 | 0.055682 | 0.056818 | 0.0375 | 0.536932 | 0.514205 | 0.435795 | 0.435795 | 0.383523 | 0.383523 | 0 | 0.011593 | 0.379595 | 3,754 | 132 | 92 | 28.439394 | 0.744096 | 0.195258 | 0 | 0.475 | 0 | 0 | 0.003059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0875 | false | 0 | 0.0625 | 0 | 0.2375 | 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 |
4c32dcda5e8a9e2b82a81dd52550421a3c5cdcea | 13,265 | py | Python | samples/COVServer.py | noelli/bacpypes | c2f4d753ed86bc0357823e718e7ff16c05f06850 | [
"MIT"
] | null | null | null | samples/COVServer.py | noelli/bacpypes | c2f4d753ed86bc0357823e718e7ff16c05f06850 | [
"MIT"
] | null | null | null | samples/COVServer.py | noelli/bacpypes | c2f4d753ed86bc0357823e718e7ff16c05f06850 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
This sample application is a server that supports COV notification services.
The console accepts commands that change the properties of an object that
triggers the notifications.
"""
import time
from threading import Thread
from bacpypes.debugging import bacpypes_debugging, ModuleLogger
fro... | 30.354691 | 87 | 0.618168 | 1,507 | 13,265 | 5.213006 | 0.147313 | 0.029404 | 0.045825 | 0.057281 | 0.556263 | 0.514511 | 0.490453 | 0.490453 | 0.44972 | 0.39804 | 0 | 0.00562 | 0.289031 | 13,265 | 436 | 88 | 30.424312 | 0.827378 | 0.162307 | 0 | 0.46748 | 0 | 0 | 0.096296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052846 | false | 0.004065 | 0.044715 | 0 | 0.134146 | 0.036585 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c330026016ced54e01a326234695f3fe1fb584f | 5,187 | py | Python | fancylit/modeling/yellowbrick_funcs.py | rubyruins/fancylit | 56a7cdfe78edd687a3b318bbbfa534203de1ace8 | [
"Apache-2.0"
] | null | null | null | fancylit/modeling/yellowbrick_funcs.py | rubyruins/fancylit | 56a7cdfe78edd687a3b318bbbfa534203de1ace8 | [
"Apache-2.0"
] | null | null | null | fancylit/modeling/yellowbrick_funcs.py | rubyruins/fancylit | 56a7cdfe78edd687a3b318bbbfa534203de1ace8 | [
"Apache-2.0"
] | null | null | null | import random
import numpy as np
import pandas as pd
import streamlit as st
from sklearn.naive_bayes import GaussianNB
from sklearn.model_selection import train_test_split
from yellowbrick.classifier import classification_report
from yellowbrick.target import FeatureCorrelation
from yellowbrick.target import ClassBalan... | 30.511765 | 389 | 0.614035 | 571 | 5,187 | 5.467601 | 0.302977 | 0.038437 | 0.032671 | 0.026906 | 0.211403 | 0.202434 | 0.202434 | 0.132607 | 0.065983 | 0 | 0 | 0.003876 | 0.303644 | 5,187 | 170 | 390 | 30.511765 | 0.860465 | 0.144207 | 0 | 0.222222 | 0 | 0.010101 | 0.200374 | 0.03133 | 0 | 0 | 0 | 0.005882 | 0 | 1 | 0.040404 | false | 0 | 0.121212 | 0 | 0.171717 | 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 |
4c33dde47e4450a45e6aa5280d3a4d98189d8d33 | 14,566 | py | Python | info/modules/admin/views.py | moonbria/test1 | 05893bd91d416ca4093e4619ede427434fa665cc | [
"MIT"
] | null | null | null | info/modules/admin/views.py | moonbria/test1 | 05893bd91d416ca4093e4619ede427434fa665cc | [
"MIT"
] | null | null | null | info/modules/admin/views.py | moonbria/test1 | 05893bd91d416ca4093e4619ede427434fa665cc | [
"MIT"
] | null | null | null | from flask import request
import random
import re
from flask import current_app, jsonify
from flask import g
from flask import make_response
from flask import redirect
from flask import render_template
from flask import request
from flask import session
from flask import url_for
import time
from info import constants, ... | 28.729783 | 87 | 0.604696 | 1,823 | 14,566 | 4.653319 | 0.143719 | 0.024755 | 0.042084 | 0.04456 | 0.532712 | 0.492514 | 0.420134 | 0.374396 | 0.336673 | 0.321349 | 0 | 0.004849 | 0.277976 | 14,566 | 506 | 88 | 28.786561 | 0.80175 | 0.035631 | 0 | 0.463351 | 0 | 0 | 0.089477 | 0.015104 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028796 | false | 0.010471 | 0.062827 | 0 | 0.196335 | 0.018325 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c3438c0b1046ec22f1ab42437a0d08677dfe6f2 | 2,839 | py | Python | src/predict_model.py | Swati17293/outlet-prediction | 3c1f41b88d71b5247763bacc9dbc1abf5d0619a2 | [
"MIT"
] | 1 | 2020-10-28T00:05:31.000Z | 2020-10-28T00:05:31.000Z | src/predict_model.py | Swati17293/outlet-prediction | 3c1f41b88d71b5247763bacc9dbc1abf5d0619a2 | [
"MIT"
] | null | null | null | src/predict_model.py | Swati17293/outlet-prediction | 3c1f41b88d71b5247763bacc9dbc1abf5d0619a2 | [
"MIT"
] | 1 | 2021-12-09T14:36:54.000Z | 2021-12-09T14:36:54.000Z | #Answer Generation
import csv
import os
import numpy as np
from keras.models import *
from keras.models import Model
from keras.preprocessing import text
def load_model():
print('\nLoading model...')
# load json and create model
json_file = open('models/MODEL.json', 'r')
loaded_model_json = json_file... | 27.038095 | 89 | 0.534343 | 364 | 2,839 | 3.997253 | 0.321429 | 0.038488 | 0.021993 | 0.030241 | 0.125773 | 0.099656 | 0.047423 | 0.047423 | 0.047423 | 0.047423 | 0 | 0.009605 | 0.339908 | 2,839 | 105 | 90 | 27.038095 | 0.766809 | 0.058471 | 0 | 0.093333 | 0 | 0 | 0.105322 | 0.023238 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053333 | false | 0 | 0.08 | 0 | 0.16 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c353955c991e91d2a8ac820fc6be7fa23bb7348 | 716 | py | Python | tools/client.py | Alisa1114/yolov4-pytorch-1 | 5dd8768f2eef868c9ee4588818350d4e1b50b98f | [
"MIT"
] | null | null | null | tools/client.py | Alisa1114/yolov4-pytorch-1 | 5dd8768f2eef868c9ee4588818350d4e1b50b98f | [
"MIT"
] | null | null | null | tools/client.py | Alisa1114/yolov4-pytorch-1 | 5dd8768f2eef868c9ee4588818350d4e1b50b98f | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
from socket import *
def client():
#實驗室電腦
# serverip='120.126.151.182'
# serverport=8887
#在自己電腦測試
serverip='127.0.0.1'
serverport=8888
client=socket(AF_INET,SOCK_STREAM)
client.connect((serverip,serverport))
address_file = open('tools/address.txt', 'r')... | 25.571429 | 64 | 0.624302 | 94 | 716 | 4.62766 | 0.617021 | 0.022989 | 0.073563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070588 | 0.168994 | 716 | 28 | 65 | 25.571429 | 0.660504 | 0.432961 | 0 | 0 | 0 | 0 | 0.088832 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.166667 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c35e02888592e1186585689132cd3d10b0f4a6d | 13,039 | py | Python | dapy/models/kuramoto_sivashinsky.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 11 | 2020-07-29T07:46:39.000Z | 2022-03-17T01:28:07.000Z | dapy/models/kuramoto_sivashinsky.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 1 | 2020-07-14T11:49:17.000Z | 2020-07-29T07:43:22.000Z | dapy/models/kuramoto_sivashinsky.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 10 | 2020-07-14T11:34:24.000Z | 2022-03-07T09:08:12.000Z | """Non-linear SPDE model on a periodic 1D spatial domain for laminar wave fronts.
Based on the Kuramato--Sivashinsky PDE model [1, 2] which exhibits spatio-temporally
chaotic dynamics.
References:
1. Kuramoto and Tsuzuki. Persistent propagation of concentration waves
in dissipative media far from thermal ... | 47.072202 | 88 | 0.666692 | 1,616 | 13,039 | 5.206064 | 0.209158 | 0.029716 | 0.032806 | 0.019969 | 0.616427 | 0.594556 | 0.539166 | 0.530132 | 0.530132 | 0.521574 | 0 | 0.02024 | 0.27249 | 13,039 | 276 | 89 | 47.242754 | 0.864326 | 0.515914 | 0 | 0.367188 | 0 | 0 | 0.009774 | 0 | 0 | 0 | 0 | 0 | 0.007813 | 1 | 0.046875 | false | 0 | 0.046875 | 0.023438 | 0.148438 | 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 |
4c3bcf54b28a72322eb20b3cefe8c6d28943d5e4 | 1,030 | py | Python | demos/restful-users/index.py | karldoenitz/karlooper | 2e1df83ed1ec9b343cdd930162a4de7ecd149c04 | [
"MIT"
] | 161 | 2016-05-17T12:44:07.000Z | 2020-07-30T02:18:34.000Z | demos/restful-users/index.py | karldoenitz/karlooper | 2e1df83ed1ec9b343cdd930162a4de7ecd149c04 | [
"MIT"
] | 6 | 2016-08-29T01:40:26.000Z | 2017-12-29T09:20:41.000Z | demos/restful-users/index.py | karldoenitz/karlooper | 2e1df83ed1ec9b343cdd930162a4de7ecd149c04 | [
"MIT"
] | 16 | 2016-06-27T02:56:54.000Z | 2019-08-08T08:18:48.000Z | # -*-encoding:utf-8-*-
import os
from karlooper.web.application import Application
from karlooper.web.request import Request
class UsersHandler(Request):
def get(self):
return self.render("/user-page.html")
class UserInfoHandler(Request):
def post(self):
print(self.get_http_request_message(... | 23.409091 | 99 | 0.61165 | 117 | 1,030 | 5.205128 | 0.57265 | 0.042693 | 0.052545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01148 | 0.238835 | 1,030 | 43 | 100 | 23.953488 | 0.765306 | 0.019417 | 0 | 0 | 0 | 0 | 0.138889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.09375 | 0.03125 | 0.28125 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c3c84ef8550fb8c1fe9332f31bf0fbd72087616 | 1,206 | py | Python | cli/waiter/subcommands/kill.py | geofft/waiter | 0e10cd497c2c679ea43231866d9f803c3fed5d77 | [
"Apache-2.0"
] | null | null | null | cli/waiter/subcommands/kill.py | geofft/waiter | 0e10cd497c2c679ea43231866d9f803c3fed5d77 | [
"Apache-2.0"
] | null | null | null | cli/waiter/subcommands/kill.py | geofft/waiter | 0e10cd497c2c679ea43231866d9f803c3fed5d77 | [
"Apache-2.0"
] | null | null | null | from waiter.action import process_kill_request
from waiter.util import guard_no_cluster, check_positive
def kill(clusters, args, _, __):
"""Kills the service(s) using the given token name."""
guard_no_cluster(clusters)
token_name_or_service_id = args.get('token-or-service-id')
is_service_id = args.get... | 46.384615 | 115 | 0.694859 | 172 | 1,206 | 4.656977 | 0.412791 | 0.11236 | 0.054931 | 0.047441 | 0.191011 | 0.191011 | 0 | 0 | 0 | 0 | 0 | 0.004024 | 0.175788 | 1,206 | 25 | 116 | 48.24 | 0.801811 | 0.09204 | 0 | 0 | 0 | 0 | 0.23893 | 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 |
4c3ccdaafeb79fdce0197fde1a5c4f83054573ab | 3,338 | py | Python | a2t/src/a2t.py | syeda-khurrath/fabric8-analytics-common | 421f7e27869c5695ed73b51e6422e097aba00108 | [
"Apache-2.0"
] | null | null | null | a2t/src/a2t.py | syeda-khurrath/fabric8-analytics-common | 421f7e27869c5695ed73b51e6422e097aba00108 | [
"Apache-2.0"
] | 4 | 2019-05-20T08:27:47.000Z | 2019-05-20T08:29:57.000Z | a2t/src/a2t.py | codeready-analytics/fabric8-analytics-common | a763c5534d601f2f40a0f02c02914c49ea23669d | [
"Apache-2.0"
] | 1 | 2020-10-05T21:12:44.000Z | 2020-10-05T21:12:44.000Z | """The main module of the Analytics API Load Tests tool.
Copyright (c) 2019 Red Hat Inc.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any late... | 30.345455 | 90 | 0.65698 | 459 | 3,338 | 4.640523 | 0.381264 | 0.023005 | 0.01831 | 0.026761 | 0.148357 | 0.09108 | 0.035681 | 0.035681 | 0.035681 | 0 | 0 | 0.007984 | 0.249551 | 3,338 | 109 | 91 | 30.623853 | 0.842315 | 0.304374 | 0 | 0.21875 | 0 | 0 | 0.143357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078125 | false | 0 | 0.15625 | 0 | 0.234375 | 0.015625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4c3d2c0aac2c057e54b3e25d8827904204518172 | 3,568 | py | Python | riscv_ctg/ctg.py | Giri2801/riscv-ctg | a90e03f0856bbdd106c3f6d51815af94707e711e | [
"BSD-3-Clause"
] | null | null | null | riscv_ctg/ctg.py | Giri2801/riscv-ctg | a90e03f0856bbdd106c3f6d51815af94707e711e | [
"BSD-3-Clause"
] | null | null | null | riscv_ctg/ctg.py | Giri2801/riscv-ctg | a90e03f0856bbdd106c3f6d51815af94707e711e | [
"BSD-3-Clause"
] | null | null | null | # See LICENSE.incore file for details
import os,re
import multiprocessing as mp
import time
import shutil
from riscv_ctg.log import logger
import riscv_ctg.utils as utils
import riscv_ctg.constants as const
from riscv_isac.cgf_normalize import expand_cgf
from riscv_ctg.generator import Generator
from math import *
fr... | 37.166667 | 114 | 0.626962 | 483 | 3,568 | 4.428571 | 0.300207 | 0.030856 | 0.01683 | 0.019635 | 0.058906 | 0.038336 | 0.038336 | 0.038336 | 0.038336 | 0.038336 | 0 | 0.00457 | 0.264013 | 3,568 | 95 | 115 | 37.557895 | 0.809977 | 0.0213 | 0 | 0.139535 | 0 | 0 | 0.120734 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.127907 | 0 | 0.197674 | 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 |