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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
437c42fd9708572ca32db3dd04de75e0b264c088 | 1,361 | py | Python | calculators/credit_card_calculator.py | wanderindev/financial-calculator-backend | ad7e736c858298c240eb9af52fbadcb02c693968 | [
"MIT"
] | 2 | 2021-01-08T04:26:54.000Z | 2022-02-04T22:22:27.000Z | calculators/credit_card_calculator.py | wanderindev/financial-calculator-backend | ad7e736c858298c240eb9af52fbadcb02c693968 | [
"MIT"
] | null | null | null | calculators/credit_card_calculator.py | wanderindev/financial-calculator-backend | ad7e736c858298c240eb9af52fbadcb02c693968 | [
"MIT"
] | 2 | 2019-06-06T19:36:17.000Z | 2020-05-20T12:37:08.000Z | from .calculator import Calculator
# noinspection PyTypeChecker
class CreditCardCalculator(Calculator):
def __init__(self, **kwargs):
super(CreditCardCalculator, self).__init__(**kwargs)
self.cc_debt = self.get_float(kwargs.get("cc_debt", 0))
self.add_c = self.get_float(kwargs.ge... | 30.244444 | 70 | 0.543718 | 186 | 1,361 | 3.688172 | 0.22043 | 0.058309 | 0.087464 | 0.131195 | 0.167638 | 0.106414 | 0.072886 | 0 | 0 | 0 | 0 | 0.021135 | 0.339456 | 1,361 | 44 | 71 | 30.931818 | 0.741935 | 0.019104 | 0 | 0 | 0 | 0 | 0.024825 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.030303 | 0.030303 | 0.212121 | 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 |
43826b793ab889bf34bea8a88631da20426a6acb | 3,880 | py | Python | fedex/services/availability_commitment_service.py | miczone/python-fedex | 1a17b45753b16b2551b0b8ba2c6aa65be8e73931 | [
"BSD-3-Clause"
] | null | null | null | fedex/services/availability_commitment_service.py | miczone/python-fedex | 1a17b45753b16b2551b0b8ba2c6aa65be8e73931 | [
"BSD-3-Clause"
] | null | null | null | fedex/services/availability_commitment_service.py | miczone/python-fedex | 1a17b45753b16b2551b0b8ba2c6aa65be8e73931 | [
"BSD-3-Clause"
] | null | null | null | """
Service Availability and Commitment Module
This package contains the shipping methods defined by Fedex's
ValidationAvailabilityAndCommitmentService WSDL file. Each is encapsulated in a class for
easy access. For more details on each, refer to the respective class's
documentation.
"""
import datetime
from ..base... | 38.039216 | 111 | 0.643557 | 413 | 3,880 | 5.970944 | 0.435835 | 0.021898 | 0.024331 | 0.030819 | 0.027575 | 0.027575 | 0 | 0 | 0 | 0 | 0 | 0.003884 | 0.270103 | 3,880 | 101 | 112 | 38.415842 | 0.866879 | 0.334794 | 0 | 0.046512 | 0 | 0 | 0.059883 | 0.02483 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.046512 | 0 | 0.162791 | 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 |
4385a715a45f63ba193550d4819fe3bbd3dc2013 | 7,908 | py | Python | cupy/linalg/product.py | okapies/cupy | 4e8394e5e0c4e420295cbc36819e8e0f7de90e9d | [
"MIT"
] | 1 | 2021-10-04T21:57:09.000Z | 2021-10-04T21:57:09.000Z | cupy/linalg/product.py | hephaex/cupy | 5cf50a93bbdebe825337ed7996c464e84b1495ba | [
"MIT"
] | 1 | 2019-08-05T09:36:13.000Z | 2019-08-06T12:03:01.000Z | cupy/linalg/product.py | hephaex/cupy | 5cf50a93bbdebe825337ed7996c464e84b1495ba | [
"MIT"
] | 1 | 2022-03-24T13:19:55.000Z | 2022-03-24T13:19:55.000Z | import numpy
import six
import cupy
from cupy import core
from cupy import internal
from cupy.linalg.solve import inv
from cupy.util import collections_abc
matmul = core.matmul
def dot(a, b, out=None):
"""Returns a dot product of two arrays.
For arrays with more than one axis, it computes the dot product... | 27.175258 | 79 | 0.592059 | 1,232 | 7,908 | 3.715909 | 0.157468 | 0.052862 | 0.045872 | 0.027523 | 0.37156 | 0.286588 | 0.263652 | 0.227829 | 0.20817 | 0.186326 | 0 | 0.009655 | 0.292742 | 7,908 | 290 | 80 | 27.268966 | 0.808868 | 0.397319 | 0 | 0.1875 | 0 | 0 | 0.057788 | 0 | 0 | 0 | 0 | 0.003448 | 0 | 1 | 0.0625 | false | 0 | 0.054688 | 0 | 0.257813 | 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 |
4387549ca0c49a838b5d253586eefe17b1221bbf | 9,050 | py | Python | trt_util/common.py | yihui8776/TensorRT-DETR | 1f32e9a2f98e26ec5b2376f9a2695193887430fb | [
"Apache-2.0"
] | null | null | null | trt_util/common.py | yihui8776/TensorRT-DETR | 1f32e9a2f98e26ec5b2376f9a2695193887430fb | [
"Apache-2.0"
] | null | null | null | trt_util/common.py | yihui8776/TensorRT-DETR | 1f32e9a2f98e26ec5b2376f9a2695193887430fb | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 42.890995 | 189 | 0.650276 | 1,162 | 9,050 | 4.889845 | 0.223752 | 0.025343 | 0.016895 | 0.015839 | 0.429602 | 0.38226 | 0.336501 | 0.31503 | 0.293559 | 0.293559 | 0 | 0.014899 | 0.258343 | 9,050 | 210 | 190 | 43.095238 | 0.831645 | 0.259116 | 0 | 0.32 | 0 | 0 | 0.087002 | 0 | 0 | 0 | 0 | 0 | 0.016 | 1 | 0.08 | false | 0 | 0.056 | 0.016 | 0.24 | 0.104 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4388c3265a288b272ad7c01a54a34148e2ab938e | 2,506 | py | Python | src/init.py | inpanel/inpanel-desktop | bff4a6accdf8a2976c722adc65f3fa2fe6650448 | [
"MIT"
] | 1 | 2020-03-18T11:40:56.000Z | 2020-03-18T11:40:56.000Z | src/init.py | inpanel/inpanel-desktop | bff4a6accdf8a2976c722adc65f3fa2fe6650448 | [
"MIT"
] | null | null | null | src/init.py | inpanel/inpanel-desktop | bff4a6accdf8a2976c722adc65f3fa2fe6650448 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8-*-
import tkinter.messagebox
from tkinter import Button, Label, Tk
from utils.functions import set_window_center
from utils.sqlite_helper import DBHelper
from inpanel import App
class InitWindow(Tk):
"""初始化窗口"""
def __init__(self):
Tk.__init__(self)
... | 29.482353 | 83 | 0.57901 | 309 | 2,506 | 4.469256 | 0.375405 | 0.050688 | 0.101376 | 0.026068 | 0.110065 | 0.075308 | 0.075308 | 0.075308 | 0.075308 | 0.053584 | 0 | 0.021253 | 0.286512 | 2,506 | 84 | 84 | 29.833333 | 0.751119 | 0.036712 | 0 | 0.032258 | 0 | 0 | 0.073109 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.080645 | 0 | 0.193548 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4389f5cc4e8592cb8c9777c1297c9ec965389eb9 | 1,947 | py | Python | pdf/wechat/step.py | damaainan/html2md | 0d241381e716d64bbcacad013c108857e815bb15 | [
"MIT"
] | null | null | null | pdf/wechat/step.py | damaainan/html2md | 0d241381e716d64bbcacad013c108857e815bb15 | [
"MIT"
] | null | null | null | pdf/wechat/step.py | damaainan/html2md | 0d241381e716d64bbcacad013c108857e815bb15 | [
"MIT"
] | null | null | null | # -*- coding=utf-8 -*-
from zwechathihu.mypdf import GenPdf
from db.mysqlite import simpleToolSql
data=[{"url": "http://mp.weixin.qq.com/s?__biz=MzAxODQxMDM0Mw==&mid=2247484852&idx=1&sn=85b50b8b0470bb4897e517955f4e5002&chksm=9bd7fbbcaca072aa75e2a241064a403fde1e579d57ab846cd8537a54253ceb2c8b93cc3bf38e&scene=21#wechat_... | 29.059701 | 257 | 0.634309 | 252 | 1,947 | 4.845238 | 0.392857 | 0.058968 | 0.054054 | 0.083538 | 0.396396 | 0.357903 | 0.312039 | 0.312039 | 0.283374 | 0.173628 | 0 | 0.083851 | 0.173087 | 1,947 | 67 | 258 | 29.059701 | 0.674534 | 0.336415 | 0 | 0.542857 | 0 | 0.028571 | 0.410418 | 0.038674 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.057143 | 0 | 0.285714 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
438f17abc40a90f956704fbac8d28a04a5de63c3 | 2,409 | py | Python | resources/lib/channelui.py | lausitzer/plugin.video.mediathekview | 7f2086240625b9b4f8d50af114f8f47654346ed1 | [
"MIT"
] | null | null | null | resources/lib/channelui.py | lausitzer/plugin.video.mediathekview | 7f2086240625b9b4f8d50af114f8f47654346ed1 | [
"MIT"
] | null | null | null | resources/lib/channelui.py | lausitzer/plugin.video.mediathekview | 7f2086240625b9b4f8d50af114f8f47654346ed1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
The channel model UI module
Copyright 2017-2018, Leo Moll and Dominik Schlösser
SPDX-License-Identifier: MIT
"""
# pylint: disable=import-error
import os
import xbmcgui
import xbmcplugin
import resources.lib.mvutils as mvutils
from resources.lib.channel import Channel
class ChannelUI(C... | 26.766667 | 74 | 0.584475 | 249 | 2,409 | 5.574297 | 0.457831 | 0.028818 | 0.021614 | 0.036023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006699 | 0.318389 | 2,409 | 89 | 75 | 27.067416 | 0.838611 | 0.253217 | 0 | 0 | 0 | 0 | 0.043375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.104167 | 0 | 0.208333 | 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 |
438f4c0d3f4d94dad9a093f3100bc1608c38e26a | 6,838 | py | Python | getconf.py | smk762/Dragonhound | 7cbaed2779afec47fcbf2481d0dae61daa4c11da | [
"MIT"
] | 3 | 2019-01-06T08:00:11.000Z | 2019-03-13T13:24:23.000Z | getconf.py | smk762/Dragonhound | 7cbaed2779afec47fcbf2481d0dae61daa4c11da | [
"MIT"
] | 1 | 2018-11-27T17:16:57.000Z | 2018-12-15T07:51:26.000Z | getconf.py | smk762/Dragonhound | 7cbaed2779afec47fcbf2481d0dae61daa4c11da | [
"MIT"
] | 2 | 2018-12-15T14:03:41.000Z | 2019-01-26T14:22:07.000Z | #!/usr/bin/env python3
#Credit to @Alright for the RPCs
import re
import os
import requests
import json
import platform
# define function that fetchs rpc creds from .conf
def def_credentials(chain):
operating_system = platform.system()
if operating_system == 'Darwin':
ac_dir = os.environ['HOME'] + '/... | 32.254717 | 90 | 0.620942 | 691 | 6,838 | 5.960926 | 0.222865 | 0.054382 | 0.073804 | 0.054382 | 0.27968 | 0.246176 | 0.150036 | 0.062637 | 0.062637 | 0.033018 | 0 | 0.007203 | 0.248757 | 6,838 | 211 | 91 | 32.407583 | 0.794627 | 0.069903 | 0 | 0.278409 | 0 | 0 | 0.144816 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096591 | false | 0.028409 | 0.028409 | 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 |
43918d07649e9b1f2f91c59a28e777ac9f008513 | 46,128 | py | Python | cwr/parser/decoder/dictionary.py | orenyodfat/CWR-DataApi | f3b6ba8308c901b6ab87073c155c08e30692333c | [
"MIT"
] | 37 | 2015-04-21T15:33:53.000Z | 2022-02-07T00:02:29.000Z | cwr/parser/decoder/dictionary.py | orenyodfat/CWR-DataApi | f3b6ba8308c901b6ab87073c155c08e30692333c | [
"MIT"
] | 86 | 2015-02-01T22:26:02.000Z | 2021-07-09T08:49:36.000Z | cwr/parser/decoder/dictionary.py | orenyodfat/CWR-DataApi | f3b6ba8308c901b6ab87073c155c08e30692333c | [
"MIT"
] | 27 | 2015-01-26T16:01:09.000Z | 2021-11-08T23:53:55.000Z | # -*- coding: utf-8 -*-
from cwr.acknowledgement import AcknowledgementRecord, MessageRecord
from cwr.agreement import AgreementRecord, AgreementTerritoryRecord, \
InterestedPartyForAgreementRecord
from cwr.group import Group, GroupHeader, GroupTrailer
from cwr.info import AdditionalRelatedInfoRecord
from cwr.pars... | 45.223529 | 96 | 0.560701 | 3,822 | 46,128 | 6.316327 | 0.099686 | 0.042873 | 0.031233 | 0.032807 | 0.450064 | 0.386728 | 0.367632 | 0.30297 | 0.301189 | 0.276749 | 0 | 0.001561 | 0.361039 | 46,128 | 1,019 | 97 | 45.26791 | 0.8175 | 0.000455 | 0 | 0.382927 | 0 | 0 | 0.125914 | 0.036876 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107317 | false | 0 | 0.014634 | 0.029268 | 0.229268 | 0.002439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43924097832cb6270f8da8544d56269f7551b02e | 6,651 | py | Python | prebuilt/twrp_fonts.py | imranpopz/android_bootable_recovery-1 | ec4512ad1e20f640b3dcd6faf8c04cae711e4f30 | [
"Apache-2.0"
] | 95 | 2018-10-31T12:12:01.000Z | 2022-03-20T21:30:48.000Z | prebuilt/twrp_fonts.py | imranpopz/android_bootable_recovery-1 | ec4512ad1e20f640b3dcd6faf8c04cae711e4f30 | [
"Apache-2.0"
] | 34 | 2018-10-22T11:01:15.000Z | 2021-11-21T14:10:26.000Z | prebuilt/twrp_fonts.py | imranpopz/android_bootable_recovery-1 | ec4512ad1e20f640b3dcd6faf8c04cae711e4f30 | [
"Apache-2.0"
] | 81 | 2018-10-23T08:37:20.000Z | 2022-03-20T00:27:08.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
import codecs,os,gzip,ctypes,ctypes.util,sys
from struct import *
from PIL import Image, ImageDraw, ImageFont
# ====== Python script to convert TrueTypeFonts to TWRP's .dat format ======
# This script was originally made by https://github.com/suky for his chinese version of... | 33.422111 | 106 | 0.537062 | 915 | 6,651 | 3.839344 | 0.30929 | 0.013664 | 0.005693 | 0.009394 | 0.054085 | 0.035867 | 0.00797 | 0.00797 | 0.00797 | 0 | 0 | 0.032258 | 0.324162 | 6,651 | 198 | 107 | 33.590909 | 0.749277 | 0.228236 | 0 | 0.181159 | 0 | 0.021739 | 0.180428 | 0 | 0 | 0 | 0 | 0.005051 | 0 | 1 | 0.036232 | false | 0 | 0.021739 | 0.007246 | 0.072464 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4393bd0d5f4f1245ce5fd0c8893a7351e5ec7276 | 3,589 | py | Python | tests/en/test_asr.py | rhasspy/rhasspy-test | 0c180bfdd370f18ad2f8b9ee483ea5520161ab74 | [
"MIT"
] | null | null | null | tests/en/test_asr.py | rhasspy/rhasspy-test | 0c180bfdd370f18ad2f8b9ee483ea5520161ab74 | [
"MIT"
] | null | null | null | tests/en/test_asr.py | rhasspy/rhasspy-test | 0c180bfdd370f18ad2f8b9ee483ea5520161ab74 | [
"MIT"
] | 1 | 2020-07-25T13:59:25.000Z | 2020-07-25T13:59:25.000Z | """Automated speech recognition tests."""
import os
import sys
import unittest
from pathlib import Path
import requests
from rhasspyhermes.asr import AsrTextCaptured
from rhasspyhermes.nlu import NluIntent
class AsrEnglishTests(unittest.TestCase):
"""Test automated speech recognition (English)"""
def setUp... | 35.534653 | 87 | 0.655893 | 445 | 3,589 | 5.110112 | 0.208989 | 0.092348 | 0.055409 | 0.046174 | 0.582674 | 0.551891 | 0.488127 | 0.423043 | 0.35708 | 0.35708 | 0 | 0.002848 | 0.217331 | 3,589 | 100 | 88 | 35.89 | 0.806693 | 0.067428 | 0 | 0.304348 | 0 | 0 | 0.182475 | 0.011743 | 0 | 0 | 0 | 0 | 0.231884 | 1 | 0.115942 | false | 0 | 0.101449 | 0.014493 | 0.246377 | 0.014493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4393be2aca5a25d561f41614d1c61c91497bb77e | 775 | py | Python | speech/melgan/model/multiscale.py | OthmaneJ/deep-tts | 93059d568c5b458d3f0d80eb294d397ecace8731 | [
"MIT"
] | 213 | 2020-05-21T12:37:37.000Z | 2022-03-28T16:36:07.000Z | speech/melgan/model/multiscale.py | OthmaneJ/deep-tts | 93059d568c5b458d3f0d80eb294d397ecace8731 | [
"MIT"
] | 36 | 2020-08-14T08:23:34.000Z | 2022-02-07T11:26:17.000Z | speech/melgan/model/multiscale.py | OthmaneJ/deep-tts | 93059d568c5b458d3f0d80eb294d397ecace8731 | [
"MIT"
] | 38 | 2020-05-21T20:03:30.000Z | 2022-01-19T16:31:15.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
from .discriminator import Discriminator
from .identity import Identity
class MultiScaleDiscriminator(nn.Module):
def __init__(self):
super(MultiScaleDiscriminator, self).__init__()
self.discriminators = nn.ModuleList(
... | 25.833333 | 83 | 0.602581 | 90 | 775 | 5.066667 | 0.466667 | 0.072368 | 0.057018 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012613 | 0.283871 | 775 | 29 | 84 | 26.724138 | 0.809009 | 0.058065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.238095 | 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 |
4393d8ec0408fae06ace653dd14db15c556ea5c5 | 2,516 | py | Python | main.py | AntonioLourencos/jogo-da-velha | 3b3e46e2d2f8c064f0df6a383bc5a0fe6bb01f63 | [
"MIT"
] | 10 | 2020-12-24T01:40:54.000Z | 2021-06-03T01:22:34.000Z | main.py | AntonioLourencos/jogo-da-velha | 3b3e46e2d2f8c064f0df6a383bc5a0fe6bb01f63 | [
"MIT"
] | 4 | 2020-12-26T15:09:05.000Z | 2021-10-01T13:36:16.000Z | main.py | AntonioLourencos/jogo-da-velha | 3b3e46e2d2f8c064f0df6a383bc5a0fe6bb01f63 | [
"MIT"
] | 3 | 2021-05-14T20:20:02.000Z | 2021-08-09T19:10:12.000Z | from game import about_button, start_button, play_sound, center_pos
import pygame
WHITE = (255,255,255)
BLACK = (0,0,0)
GREEN = (0, 255, 0)
pygame.init()
pygame.font.init()
pygame.mixer.init()
FONT = pygame.font.Font("assets/font.ttf", 70)
FONT_MIN = pygame.font.Font("assets/font.ttf", 30)
window = pygame.display.s... | 31.45 | 95 | 0.591017 | 322 | 2,516 | 4.453416 | 0.326087 | 0.037657 | 0.029289 | 0.031381 | 0.104603 | 0.037657 | 0 | 0 | 0 | 0 | 0 | 0.040975 | 0.282194 | 2,516 | 80 | 96 | 31.45 | 0.753045 | 0 | 0 | 0.129032 | 0 | 0 | 0.059197 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.032258 | 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 |
43952014f41c3fec2a8b86f2f567eb906cd4cf2f | 1,463 | py | Python | schedule/views.py | 1donggri/teamProject | 9b4f37c2a93b065529ce9dd245f9717a783dd456 | [
"CC-BY-3.0"
] | null | null | null | schedule/views.py | 1donggri/teamProject | 9b4f37c2a93b065529ce9dd245f9717a783dd456 | [
"CC-BY-3.0"
] | null | null | null | schedule/views.py | 1donggri/teamProject | 9b4f37c2a93b065529ce9dd245f9717a783dd456 | [
"CC-BY-3.0"
] | null | null | null | from django.shortcuts import render, redirect
from .models import Post
from .forms import ScheduleForm
from django.core.paginator import Paginator
# Create your views here.
def view_schedule(request):
all_posts = Post.objects.all().order_by('pub_date')
page = int(request.GET.get('p', 1))
pagenator = Pagina... | 34.833333 | 75 | 0.6473 | 186 | 1,463 | 4.967742 | 0.38172 | 0.051948 | 0.064935 | 0.087662 | 0.170996 | 0.170996 | 0.114719 | 0.114719 | 0.114719 | 0 | 0 | 0.001776 | 0.230349 | 1,463 | 42 | 76 | 34.833333 | 0.818828 | 0.140123 | 0 | 0.071429 | 0 | 0 | 0.124 | 0.0832 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.142857 | 0 | 0.392857 | 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 |
43985e0c9aab5f6373fb70168960c90190116e6d | 4,005 | py | Python | mcts.py | korbi98/TicTacToeGo_Zero | b8ea4562f3ddf914a53fc380f2266f13ab887e04 | [
"MIT"
] | null | null | null | mcts.py | korbi98/TicTacToeGo_Zero | b8ea4562f3ddf914a53fc380f2266f13ab887e04 | [
"MIT"
] | null | null | null | mcts.py | korbi98/TicTacToeGo_Zero | b8ea4562f3ddf914a53fc380f2266f13ab887e04 | [
"MIT"
] | 1 | 2021-12-20T12:03:49.000Z | 2021-12-20T12:03:49.000Z | # Monte Carlo tree search for TicTacToe
import numpy as np
from tictactoe import Tictactoe
import copy
from random import choice
from tree import Node
import time
class MCTS:
'''
Class defining a simple monte carlo tree search algorithm.
Attributes:
- game: instance of TicTacToe game
- cu... | 35.131579 | 104 | 0.640949 | 491 | 4,005 | 5.075356 | 0.281059 | 0.099117 | 0.032103 | 0.016051 | 0.159711 | 0.110754 | 0.089888 | 0.089888 | 0.056982 | 0.056982 | 0 | 0.003825 | 0.281898 | 4,005 | 113 | 105 | 35.442478 | 0.862656 | 0.241698 | 0 | 0.131148 | 0 | 0 | 0.041465 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0 | 0.098361 | 0 | 0.262295 | 0.147541 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4399aded5ee5a7bbfaba489cfa6e1bbdb4b8689f | 3,911 | py | Python | grimer/metadata.py | pirovc/grimer | 169f8d3009004d6d2f4ca4d3e7dfec819078cb34 | [
"MIT"
] | 5 | 2021-06-24T03:19:47.000Z | 2021-12-18T22:33:04.000Z | grimer/metadata.py | pirovc/grimer | 169f8d3009004d6d2f4ca4d3e7dfec819078cb34 | [
"MIT"
] | 1 | 2022-02-04T14:52:40.000Z | 2022-03-07T10:04:54.000Z | grimer/metadata.py | pirovc/grimer | 169f8d3009004d6d2f4ca4d3e7dfec819078cb34 | [
"MIT"
] | null | null | null | import pandas as pd
from pandas.api.types import is_numeric_dtype
from grimer.utils import print_log
class Metadata:
valid_types = ["categorical", "numeric"]
default_type = "categorical"
def __init__(self, metadata_file, samples: list=[]):
# Read metadata and let pandas guess dtypes, index as str... | 38.722772 | 136 | 0.628995 | 525 | 3,911 | 4.56 | 0.266667 | 0.110276 | 0.065163 | 0.06015 | 0.181287 | 0.131997 | 0.101921 | 0.101921 | 0.070175 | 0.070175 | 0 | 0.004075 | 0.246996 | 3,911 | 100 | 137 | 39.11 | 0.808829 | 0.158527 | 0 | 0.04918 | 0 | 0 | 0.075183 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163934 | false | 0 | 0.04918 | 0.081967 | 0.42623 | 0.065574 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
439a75ca9b8d0ab554205540e1b91cb943b0c4ba | 5,162 | py | Python | allennlp/training/metric_tracker.py | MSLars/allennlp | 2cdb8742c8c8c3c38ace4bdfadbdc750a1aa2475 | [
"Apache-2.0"
] | 11,433 | 2017-06-27T03:08:46.000Z | 2022-03-31T18:14:33.000Z | allennlp/training/metric_tracker.py | MSLars/allennlp | 2cdb8742c8c8c3c38ace4bdfadbdc750a1aa2475 | [
"Apache-2.0"
] | 4,006 | 2017-06-26T21:45:43.000Z | 2022-03-31T02:11:10.000Z | allennlp/training/metric_tracker.py | MSLars/allennlp | 2cdb8742c8c8c3c38ace4bdfadbdc750a1aa2475 | [
"Apache-2.0"
] | 2,560 | 2017-06-26T21:16:53.000Z | 2022-03-30T07:55:46.000Z | from typing import Optional, Dict, Any, List, Union
from allennlp.common.checks import ConfigurationError
class MetricTracker:
"""
This class tracks a metric during training for the dual purposes of early stopping
and for knowing whether the current value is the best so far. It mimics the PyTorch
`st... | 38.522388 | 93 | 0.629407 | 681 | 5,162 | 4.51395 | 0.255507 | 0.040989 | 0.061483 | 0.035784 | 0.298959 | 0.140208 | 0.097918 | 0.097918 | 0.097918 | 0.097918 | 0 | 0.003814 | 0.288842 | 5,162 | 133 | 94 | 38.81203 | 0.83356 | 0.293103 | 0 | 0.142857 | 0 | 0 | 0.098136 | 0.015143 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103896 | false | 0 | 0.025974 | 0 | 0.207792 | 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 |
439abf267a321356c428ab3774898fb305a07e4a | 956 | py | Python | json_analyzer.py | bantenz/NetworkConfigParser | e1aa8385540823340e8278c7d7af0201399efd8f | [
"Apache-2.0"
] | null | null | null | json_analyzer.py | bantenz/NetworkConfigParser | e1aa8385540823340e8278c7d7af0201399efd8f | [
"Apache-2.0"
] | null | null | null | json_analyzer.py | bantenz/NetworkConfigParser | e1aa8385540823340e8278c7d7af0201399efd8f | [
"Apache-2.0"
] | null | null | null | import json
from deepdiff import DeepDiff
import pprint
def get_json(file_name):
with open(file_name) as json_file:
json_data = json.load(json_file)
return json_data
def compare_json(Hostname, Command, Data1, Data2):
if (Data1 == Data2):
print ("%s - %s output is same" % (Hostname, Com... | 30.83871 | 94 | 0.669456 | 129 | 956 | 4.782946 | 0.379845 | 0.06483 | 0.084279 | 0.084279 | 0.171799 | 0.123177 | 0.123177 | 0 | 0 | 0 | 0 | 0.018642 | 0.214435 | 956 | 30 | 95 | 31.866667 | 0.802929 | 0.095188 | 0 | 0 | 0 | 0 | 0.177289 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.130435 | 0 | 0.304348 | 0.173913 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
439b48ead1b5b023fe47fbce88acf0d32181f26a | 9,437 | py | Python | fiwareglancesync/sync.py | telefonicaid/fiware-glancesync | 5ad0c80e12b9384473f31bf336015c75cf02a2a2 | [
"Apache-2.0"
] | null | null | null | fiwareglancesync/sync.py | telefonicaid/fiware-glancesync | 5ad0c80e12b9384473f31bf336015c75cf02a2a2 | [
"Apache-2.0"
] | 88 | 2015-07-21T22:13:23.000Z | 2016-11-15T21:28:56.000Z | fiwareglancesync/sync.py | telefonicaid/fiware-glancesync | 5ad0c80e12b9384473f31bf336015c75cf02a2a2 | [
"Apache-2.0"
] | 2 | 2015-08-12T11:19:55.000Z | 2018-05-25T19:04:43.000Z | #!/usr/bin/env python
# -- encoding: utf-8 --
#
# Copyright 2015-2016 Telefónica Investigación y Desarrollo, S.A.U
#
# This file is part of FI-WARE project.
#
# 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... | 35.212687 | 79 | 0.586097 | 1,086 | 9,437 | 4.997238 | 0.296501 | 0.041275 | 0.012161 | 0.017505 | 0.13009 | 0.090105 | 0.046434 | 0.046434 | 0.046434 | 0.029851 | 0 | 0.005191 | 0.326375 | 9,437 | 267 | 80 | 35.344569 | 0.848513 | 0.24192 | 0 | 0.246988 | 0 | 0 | 0.109652 | 0.009667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042169 | false | 0 | 0.048193 | 0 | 0.096386 | 0.048193 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
439b5da067d8952a4649cfcbc1a2148086951365 | 2,224 | py | Python | models/object_detection/pytorch/ssd-resnet34/training/cpu/mlperf_logger.py | Pandinosaurus/models-intelai | 60f5712d79a363bdb7624e3116a66a4f1a7fe208 | [
"Apache-2.0"
] | null | null | null | models/object_detection/pytorch/ssd-resnet34/training/cpu/mlperf_logger.py | Pandinosaurus/models-intelai | 60f5712d79a363bdb7624e3116a66a4f1a7fe208 | [
"Apache-2.0"
] | null | null | null | models/object_detection/pytorch/ssd-resnet34/training/cpu/mlperf_logger.py | Pandinosaurus/models-intelai | 60f5712d79a363bdb7624e3116a66a4f1a7fe208 | [
"Apache-2.0"
] | null | null | null | ### This file is originally from: [mlcommons repo](https://github.com/mlcommons/training/tree/9947bdf21ee3f2488fa4b362eec2ce7deb2ec4dd/single_stage_detector/ssd/mlperf_logger.py)
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may ... | 35.870968 | 178 | 0.721223 | 304 | 2,224 | 5.171053 | 0.490132 | 0.038168 | 0.034351 | 0.038168 | 0.05916 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017496 | 0.177608 | 2,224 | 61 | 179 | 36.459016 | 0.84199 | 0.447392 | 0 | 0.09375 | 0 | 0 | 0.062979 | 0.017872 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.15625 | 0 | 0.34375 | 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 |
439cc020be352b363d0141cede18e92d0b0f339f | 5,910 | py | Python | project/server/main/feed.py | dataesr/harvest-theses | 1725b3ec3a944526fe62941d554bc3de6209cd28 | [
"MIT"
] | null | null | null | project/server/main/feed.py | dataesr/harvest-theses | 1725b3ec3a944526fe62941d554bc3de6209cd28 | [
"MIT"
] | null | null | null | project/server/main/feed.py | dataesr/harvest-theses | 1725b3ec3a944526fe62941d554bc3de6209cd28 | [
"MIT"
] | null | null | null | import datetime
import os
import pymongo
import requests
from urllib import parse
from urllib.parse import quote_plus
import json
from retry import retry
from bs4 import BeautifulSoup
import math
from project.server.main.logger import get_logger
from project.server.main.utils_swift import upload_object
from project.s... | 36.708075 | 184 | 0.694755 | 862 | 5,910 | 4.488399 | 0.207657 | 0.044197 | 0.024813 | 0.024813 | 0.34505 | 0.283019 | 0.182735 | 0.182735 | 0.15482 | 0.124063 | 0 | 0.015648 | 0.178173 | 5,910 | 160 | 185 | 36.9375 | 0.780935 | 0.069036 | 0 | 0.123894 | 0 | 0.00885 | 0.216187 | 0.066533 | 0 | 0 | 0 | 0.00625 | 0 | 1 | 0.061947 | false | 0 | 0.168142 | 0 | 0.256637 | 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 |
439e62c4d6bd84f9f57f7073032cb6f2eab27d1b | 15,524 | py | Python | utilities.py | gandhiy/lipMIP | 11843e6bf2223acca44f57d29791521aac15caf3 | [
"MIT"
] | 11 | 2020-05-18T17:33:25.000Z | 2022-01-28T18:42:31.000Z | utilities.py | gandhiy/lipMIP | 11843e6bf2223acca44f57d29791521aac15caf3 | [
"MIT"
] | null | null | null | utilities.py | gandhiy/lipMIP | 11843e6bf2223acca44f57d29791521aac15caf3 | [
"MIT"
] | 1 | 2020-12-10T19:57:20.000Z | 2020-12-10T19:57:20.000Z | """ General all-purpose utilities """
import sys
import torch
import torch.nn.functional as F
import numpy as np
import gurobipy as gb
import matplotlib.pyplot as plt
import io
import contextlib
import tempfile
import time
import re
import pickle
import inspect
import glob
import os
COMPLETED_JOB_DIR = os.path.join(... | 28.021661 | 81 | 0.659237 | 2,249 | 15,524 | 4.389506 | 0.200089 | 0.007901 | 0.005673 | 0.006483 | 0.154072 | 0.118922 | 0.091167 | 0.08671 | 0.075162 | 0.075162 | 0 | 0.005188 | 0.192863 | 15,524 | 553 | 82 | 28.072333 | 0.782682 | 0.397256 | 0 | 0.228296 | 0 | 0 | 0.038807 | 0.006709 | 0 | 0 | 0 | 0 | 0.057878 | 1 | 0.154341 | false | 0.003215 | 0.048232 | 0.016077 | 0.369775 | 0.003215 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43a00c0b5646519c438692fcd0610b44be3beb14 | 1,340 | py | Python | read_delphin_data.py | anssilaukkarinen/mry-cluster2 | 65d80a7371a4991dfe248ff6944f050e1573f8fc | [
"MIT"
] | null | null | null | read_delphin_data.py | anssilaukkarinen/mry-cluster2 | 65d80a7371a4991dfe248ff6944f050e1573f8fc | [
"MIT"
] | null | null | null | read_delphin_data.py | anssilaukkarinen/mry-cluster2 | 65d80a7371a4991dfe248ff6944f050e1573f8fc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 6 14:51:24 2021
@author: laukkara
This script is run first to fetch results data from university's network drive
"""
import os
import pickle
input_folder_for_Delphin_data = r'S:\91202_Rakfys_Mallinnus\RAMI\simulations'
output_folder = os.path.join(r'C:\Local\laukkar... | 20 | 81 | 0.630597 | 185 | 1,340 | 4.389189 | 0.481081 | 0.059113 | 0.078818 | 0.077586 | 0.16133 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023976 | 0.252985 | 1,340 | 66 | 82 | 20.30303 | 0.787213 | 0.15597 | 0 | 0.066667 | 0 | 0 | 0.166517 | 0.10351 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0.133333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43a04a876b69a7d204627f4d6e2351f7e07cdf98 | 518 | py | Python | examples/pylab_examples/fancybox_demo2.py | pierre-haessig/matplotlib | 0d945044ca3fbf98cad55912584ef80911f330c6 | [
"MIT",
"PSF-2.0",
"BSD-3-Clause"
] | 16 | 2016-06-14T19:45:35.000Z | 2020-11-30T19:02:58.000Z | examples/pylab_examples/fancybox_demo2.py | pierre-haessig/matplotlib | 0d945044ca3fbf98cad55912584ef80911f330c6 | [
"MIT",
"PSF-2.0",
"BSD-3-Clause"
] | 7 | 2015-05-08T19:36:25.000Z | 2015-06-30T15:32:17.000Z | examples/pylab_examples/fancybox_demo2.py | pierre-haessig/matplotlib | 0d945044ca3fbf98cad55912584ef80911f330c6 | [
"MIT",
"PSF-2.0",
"BSD-3-Clause"
] | 6 | 2015-06-05T03:34:06.000Z | 2022-01-25T09:07:10.000Z | import matplotlib.patches as mpatch
import matplotlib.pyplot as plt
styles = mpatch.BoxStyle.get_styles()
figheight = (len(styles)+.5)
fig1 = plt.figure(1, (4/1.5, figheight/1.5))
fontsize = 0.3 * 72
for i, (stylename, styleclass) in enumerate(styles.items()):
fig1.text(0.5, (float(len(styles)) - 0.5 - i)/fighei... | 27.263158 | 71 | 0.629344 | 72 | 518 | 4.513889 | 0.597222 | 0.098462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04401 | 0.210425 | 518 | 18 | 72 | 28.777778 | 0.750611 | 0 | 0 | 0 | 0 | 0 | 0.015474 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43a39cbdc284d3d48cf14614c751040caf06e2f0 | 3,018 | py | Python | import_off.py | etiennody/purchoice | 43a2dc81ca953ac6168f8112e97a4bae91ace690 | [
"MIT"
] | null | null | null | import_off.py | etiennody/purchoice | 43a2dc81ca953ac6168f8112e97a4bae91ace690 | [
"MIT"
] | 2 | 2020-05-04T09:40:32.000Z | 2021-08-03T17:34:00.000Z | import_off.py | etiennody/purchoice | 43a2dc81ca953ac6168f8112e97a4bae91ace690 | [
"MIT"
] | null | null | null | #! usr/bin/python3
# code: utf-8
"""Download data from Open Food Facts API."""
import json
import requests
from src.purchoice.constants import CATEGORY_SELECTED
from src.purchoice.purchoice_database import PurchoiceDatabase
class ImportOff:
"""ImportOff class downloads data from Open Food Facts API."""
de... | 32.804348 | 79 | 0.594102 | 351 | 3,018 | 4.977208 | 0.404558 | 0.020607 | 0.037207 | 0.036634 | 0.100744 | 0.100744 | 0.032055 | 0 | 0 | 0 | 0 | 0.005778 | 0.311796 | 3,018 | 91 | 80 | 33.164835 | 0.835339 | 0.288602 | 0 | 0 | 0 | 0 | 0.143511 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0.021277 | 0.191489 | 0 | 0.340426 | 0.042553 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43a51f00be6eeff0b67bd7aa629b9ff21c09189f | 503 | py | Python | cogs rework/server specified/on_message_delete.py | lubnc4261/House-Keeper | 6de20014afaf00cf9050e54c91cd8b3a02702a27 | [
"MIT"
] | null | null | null | cogs rework/server specified/on_message_delete.py | lubnc4261/House-Keeper | 6de20014afaf00cf9050e54c91cd8b3a02702a27 | [
"MIT"
] | null | null | null | cogs rework/server specified/on_message_delete.py | lubnc4261/House-Keeper | 6de20014afaf00cf9050e54c91cd8b3a02702a27 | [
"MIT"
] | null | null | null | import discord
from discord import Embed
@commands.Cog.listener()
async def on_message_delete(self, message):
channel = "xxxxxxxxxxxxxxxxxxxxx"
deleted = Embed(
description=f"Message deleted in {message.channel.mention}", color=0x4040EC
).set_author(name=message.author, url=Embed.Empty,... | 33.533333 | 91 | 0.735586 | 62 | 503 | 5.854839 | 0.612903 | 0.077135 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011848 | 0.161034 | 503 | 15 | 92 | 33.533333 | 0.848341 | 0 | 0 | 0 | 0 | 0 | 0.146939 | 0.093878 | 0 | 0 | 0.016327 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 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 |
43a5f6e07158fad4d7bfe9f3af12b2b23116e364 | 22,646 | py | Python | test/modules/md/md_env.py | icing/mod_md | 4522ed547f0426f27aae86f00fbc9b5b17de545f | [
"Apache-2.0"
] | 320 | 2017-07-22T12:14:19.000Z | 2022-03-24T14:00:32.000Z | test/modules/md/md_env.py | icing/mod_md | 4522ed547f0426f27aae86f00fbc9b5b17de545f | [
"Apache-2.0"
] | 272 | 2017-07-22T12:30:48.000Z | 2022-03-30T07:14:50.000Z | test/modules/md/md_env.py | icing/mod_md | 4522ed547f0426f27aae86f00fbc9b5b17de545f | [
"Apache-2.0"
] | 36 | 2017-07-22T12:45:03.000Z | 2021-05-18T12:20:11.000Z | import copy
import inspect
import json
import logging
import pytest
import re
import os
import shutil
import subprocess
import time
from datetime import datetime, timedelta
from configparser import ConfigParser, ExtendedInterpolation
from typing import Dict, List, Optional
from pyhttpd.certs import CertificateSpec
f... | 37.806344 | 125 | 0.597457 | 2,920 | 22,646 | 4.414726 | 0.136644 | 0.03421 | 0.029788 | 0.026065 | 0.394616 | 0.338376 | 0.283841 | 0.241331 | 0.194709 | 0.169265 | 0 | 0.011539 | 0.280579 | 22,646 | 599 | 126 | 37.806344 | 0.779708 | 0.027025 | 0 | 0.253579 | 0 | 0 | 0.089703 | 0.007585 | 0 | 0 | 0 | 0 | 0.06953 | 1 | 0.147239 | false | 0 | 0.034765 | 0.06135 | 0.343558 | 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 |
43a66e0d4848430d37cecb21387fa89ddac71ea8 | 1,949 | py | Python | models/create_message_response.py | ajrice6713/bw-messaging-emulator | d1be4976e2486ec91b419597afc8411c78ebfda7 | [
"MIT"
] | null | null | null | models/create_message_response.py | ajrice6713/bw-messaging-emulator | d1be4976e2486ec91b419597afc8411c78ebfda7 | [
"MIT"
] | null | null | null | models/create_message_response.py | ajrice6713/bw-messaging-emulator | d1be4976e2486ec91b419597afc8411c78ebfda7 | [
"MIT"
] | null | null | null | import datetime
import json
import random
import string
from typing import Dict
from sms_counter import SMSCounter
class CreateMessageResponse:
def __init__(self, request):
self.id = self.generate_id()
self.owner = request['from']
self.applicationId = request['applicationId']
sel... | 30.936508 | 91 | 0.578758 | 214 | 1,949 | 5.186916 | 0.28972 | 0.075676 | 0.046847 | 0.027027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021152 | 0.296562 | 1,949 | 62 | 92 | 31.435484 | 0.788476 | 0 | 0 | 0 | 0 | 0 | 0.086711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 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 |
43a74cac582bdf300bc81daa9bedf7b376e2c024 | 906 | py | Python | Alpha & Beta/wootMath/decimalToBinaryFraction.py | Mdlkxzmcp/various_python | be4f873c6263e3db11177bbccce2aa465514294d | [
"MIT"
] | null | null | null | Alpha & Beta/wootMath/decimalToBinaryFraction.py | Mdlkxzmcp/various_python | be4f873c6263e3db11177bbccce2aa465514294d | [
"MIT"
] | null | null | null | Alpha & Beta/wootMath/decimalToBinaryFraction.py | Mdlkxzmcp/various_python | be4f873c6263e3db11177bbccce2aa465514294d | [
"MIT"
] | null | null | null | def decimal_to_binary_fraction(x=0.5):
"""
Input: x, a float between 0 and 1
Returns binary representation of x
"""
p = 0
while ((2 ** p) * x) % 1 != 0:
# print('Remainder = ' + str((2**p)*x - int((2**p)*x)))
p += 1
num = int(x * (2 ** p))
result = ''
if num == 0:
... | 27.454545 | 97 | 0.566225 | 144 | 906 | 3.541667 | 0.493056 | 0.019608 | 0.017647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037559 | 0.294702 | 906 | 32 | 98 | 28.3125 | 0.760563 | 0.512141 | 0 | 0 | 0 | 0 | 0.007212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0 | 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 |
43a79fa3a61473b076f77344a5a402f9d3ac1f06 | 3,091 | py | Python | composer/utils/run_directory.py | ajaysaini725/composer | 00fbf95823cd50354b2410fbd88f06eaf0481662 | [
"Apache-2.0"
] | null | null | null | composer/utils/run_directory.py | ajaysaini725/composer | 00fbf95823cd50354b2410fbd88f06eaf0481662 | [
"Apache-2.0"
] | null | null | null | composer/utils/run_directory.py | ajaysaini725/composer | 00fbf95823cd50354b2410fbd88f06eaf0481662 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 MosaicML. All Rights Reserved.
import datetime
import logging
import os
import pathlib
import time
from composer.utils import dist
log = logging.getLogger(__name__)
_RUN_DIRECTORY_KEY = "COMPOSER_RUN_DIRECTORY"
_start_time_str = datetime.datetime.now().isoformat()
def get_node_run_directory() ->... | 35.125 | 102 | 0.697185 | 418 | 3,091 | 4.937799 | 0.320574 | 0.174419 | 0.069767 | 0.018411 | 0.271318 | 0.248062 | 0.217054 | 0.217054 | 0.126938 | 0.085271 | 0 | 0.002067 | 0.217405 | 3,091 | 87 | 103 | 35.528736 | 0.851178 | 0.339696 | 0 | 0.136364 | 0 | 0 | 0.065319 | 0.026439 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43aa177b05dce3f050fe11c02d43b9d799f954d6 | 3,509 | py | Python | cpc_fusion/pkgs/keys/main.py | CPChain/fusion | 63b6913010e8e5b296a1900c59592c8fd1802c2e | [
"MIT"
] | 5 | 2018-12-19T02:37:18.000Z | 2022-01-26T02:52:50.000Z | cpc_fusion/pkgs/keys/main.py | CPChain/fusion | 63b6913010e8e5b296a1900c59592c8fd1802c2e | [
"MIT"
] | null | null | null | cpc_fusion/pkgs/keys/main.py | CPChain/fusion | 63b6913010e8e5b296a1900c59592c8fd1802c2e | [
"MIT"
] | null | null | null | from typing import (Any, Union, Type) # noqa: F401
from ..keys.datatypes import (
LazyBackend,
PublicKey,
PrivateKey,
Signature,
)
from eth_keys.exceptions import (
ValidationError,
)
from eth_keys.validation import (
validate_message_hash,
)
# These must be aliased due to a scoping issue in... | 35.444444 | 90 | 0.61613 | 370 | 3,509 | 5.648649 | 0.245946 | 0.060287 | 0.050239 | 0.053589 | 0.563636 | 0.487081 | 0.475598 | 0.432057 | 0.326794 | 0.300478 | 0 | 0.002901 | 0.31234 | 3,509 | 98 | 91 | 35.806122 | 0.863241 | 0.15503 | 0 | 0.373333 | 0 | 0 | 0.205032 | 0.072084 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053333 | false | 0 | 0.053333 | 0 | 0.213333 | 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 |
43aab220da0c6298d29ad8922e374d3b90af61e0 | 16,406 | py | Python | qiskit/pulse/transforms/canonicalization.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 1 | 2021-10-05T11:56:53.000Z | 2021-10-05T11:56:53.000Z | qiskit/pulse/transforms/canonicalization.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 24 | 2021-01-27T08:20:27.000Z | 2021-07-06T09:42:28.000Z | qiskit/pulse/transforms/canonicalization.py | gadial/qiskit-terra | 0fc83f44a6e80969875c738b2cee7bc33223e45f | [
"Apache-2.0"
] | 4 | 2021-10-05T12:07:27.000Z | 2022-01-28T18:37:28.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 40.210784 | 99 | 0.643911 | 1,860 | 16,406 | 5.544624 | 0.198387 | 0.022108 | 0.027732 | 0.014254 | 0.215165 | 0.15718 | 0.141181 | 0.130515 | 0.098613 | 0.087172 | 0 | 0.004114 | 0.288797 | 16,406 | 407 | 100 | 40.309582 | 0.879757 | 0.351518 | 0 | 0.205263 | 0 | 0 | 0.075953 | 0.005517 | 0 | 0 | 0 | 0.002457 | 0 | 1 | 0.068421 | false | 0 | 0.052632 | 0.005263 | 0.194737 | 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 |
43abfef786fc99686d3027b89832f4ac4ffeea43 | 7,885 | py | Python | lib/jnpr/junos/transport/tty_netconf.py | mmoucka/py-junos-eznc | 9ef5ad39e32ae670fe8ed0092d725661a45b3053 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | lib/jnpr/junos/transport/tty_netconf.py | mmoucka/py-junos-eznc | 9ef5ad39e32ae670fe8ed0092d725661a45b3053 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | lib/jnpr/junos/transport/tty_netconf.py | mmoucka/py-junos-eznc | 9ef5ad39e32ae670fe8ed0092d725661a45b3053 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | import re
import time
from lxml import etree
import select
import socket
import logging
import sys
from lxml.builder import E
from lxml.etree import XMLSyntaxError
from datetime import datetime, timedelta
from ncclient.operations.rpc import RPCReply, RPCError
from ncclient.xml_ import to_ele
import six
from ncclient.t... | 35.200893 | 83 | 0.49182 | 839 | 7,885 | 4.468415 | 0.278903 | 0.037343 | 0.025607 | 0.022406 | 0.17418 | 0.13817 | 0.102427 | 0.102427 | 0.102427 | 0.102427 | 0 | 0.00569 | 0.309068 | 7,885 | 223 | 84 | 35.358744 | 0.682452 | 0.250983 | 0 | 0.27027 | 0 | 0 | 0.0566 | 0.003831 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060811 | false | 0 | 0.094595 | 0 | 0.27027 | 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 |
43ad02233acb1702dc2da7147208eb71f07d888f | 409 | py | Python | test/_test_client.py | eydam-prototyping/mp_modbus | 8007c41dd16e6f71bd27b587628f57f38f27a7e0 | [
"MIT"
] | 2 | 2022-01-06T02:21:16.000Z | 2022-03-08T07:55:43.000Z | test/_test_client.py | eydam-prototyping/mp_modbus | 8007c41dd16e6f71bd27b587628f57f38f27a7e0 | [
"MIT"
] | 2 | 2021-12-10T15:56:52.000Z | 2022-02-19T23:45:24.000Z | test/_test_client.py | eydam-prototyping/mp_modbus | 8007c41dd16e6f71bd27b587628f57f38f27a7e0 | [
"MIT"
] | 3 | 2021-07-30T11:16:55.000Z | 2022-01-05T18:19:55.000Z | from pymodbus.client.sync import ModbusTcpClient as ModbusClient
import logging
FORMAT = ('%(asctime)-15s %(threadName)-15s '
'%(levelname)-8s %(module)-15s:%(lineno)-8s %(message)s')
logging.basicConfig(format=FORMAT)
log = logging.getLogger()
log.setLevel(logging.DEBUG)
client = ModbusClient('192.168.178.61... | 37.181818 | 67 | 0.743276 | 54 | 409 | 5.592593 | 0.703704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07027 | 0.095355 | 409 | 11 | 68 | 37.181818 | 0.745946 | 0 | 0 | 0 | 0 | 0 | 0.246341 | 0.063415 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43ae1b68e450c7cd53ba9d214198e618977b86cc | 1,297 | py | Python | sdk/python/lib/test/langhost/future_input/__main__.py | pcen/pulumi | 1bb85ca98c90f2161fe915df083d47c56c135e4d | [
"Apache-2.0"
] | 12,004 | 2018-06-17T23:56:29.000Z | 2022-03-31T18:00:09.000Z | sdk/python/lib/test/langhost/future_input/__main__.py | pcen/pulumi | 1bb85ca98c90f2161fe915df083d47c56c135e4d | [
"Apache-2.0"
] | 6,263 | 2018-06-17T23:27:24.000Z | 2022-03-31T19:20:35.000Z | sdk/python/lib/test/langhost/future_input/__main__.py | pcen/pulumi | 1bb85ca98c90f2161fe915df083d47c56c135e4d | [
"Apache-2.0"
] | 706 | 2018-06-17T23:56:50.000Z | 2022-03-31T11:20:23.000Z | # Copyright 2016-2018, Pulumi Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 36.027778 | 87 | 0.739399 | 194 | 1,297 | 4.809278 | 0.561856 | 0.064309 | 0.028939 | 0.03537 | 0.064309 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012138 | 0.174248 | 1,297 | 35 | 88 | 37.057143 | 0.85901 | 0.529684 | 0 | 0 | 0 | 0 | 0.102694 | 0.038721 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.133333 | false | 0 | 0.133333 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43af456bb12d9242e1f8878ab32c7792bb2310ac | 2,108 | py | Python | tests/models/pr_test_data.py | heaven00/github-contribution-leaderboard | 3de53a60a7c81b91291e29d063c7fd14696d426d | [
"Apache-2.0"
] | null | null | null | tests/models/pr_test_data.py | heaven00/github-contribution-leaderboard | 3de53a60a7c81b91291e29d063c7fd14696d426d | [
"Apache-2.0"
] | null | null | null | tests/models/pr_test_data.py | heaven00/github-contribution-leaderboard | 3de53a60a7c81b91291e29d063c7fd14696d426d | [
"Apache-2.0"
] | null | null | null | import copy
import json
from ghcl.models.pull_request import PullRequest
class PRData:
def __init__(self, data: dict = None):
if data is None:
with open('./tests/models/empty_pr_data.json') as file:
self._data = json.load(file)
else:
self._data = data
... | 31.939394 | 76 | 0.597723 | 275 | 2,108 | 4.298182 | 0.236364 | 0.081218 | 0.07445 | 0.118443 | 0.349408 | 0.192893 | 0.192893 | 0.192893 | 0.067682 | 0.067682 | 0 | 0.009677 | 0.264706 | 2,108 | 65 | 77 | 32.430769 | 0.752903 | 0 | 0 | 0.307692 | 0 | 0 | 0.136622 | 0.015655 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.057692 | 0.038462 | 0.442308 | 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 |
43af80522808363696ca10665012f09669723d2f | 609 | py | Python | Validation/EventGenerator/python/BasicGenParticleValidation_cfi.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 2 | 2020-10-26T18:40:32.000Z | 2021-04-10T16:33:25.000Z | Validation/EventGenerator/python/BasicGenParticleValidation_cfi.py | gartung/cmssw | 3072dde3ce94dcd1791d778988198a44cde02162 | [
"Apache-2.0"
] | 30 | 2015-11-04T11:42:27.000Z | 2021-12-01T07:56:34.000Z | Validation/EventGenerator/python/BasicGenParticleValidation_cfi.py | gartung/cmssw | 3072dde3ce94dcd1791d778988198a44cde02162 | [
"Apache-2.0"
] | 8 | 2016-03-25T07:17:43.000Z | 2021-07-08T17:11:21.000Z | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDAnalyzer import DQMEDAnalyzer
basicGenParticleValidation = DQMEDAnalyzer('BasicGenParticleValidation',
hepmcCollection = cms.InputTag("generatorSmeared"),
genparticleCollection = cms.InputTag("genParticles",""),
genjetsCollection = cms.Inp... | 40.6 | 94 | 0.784893 | 50 | 609 | 9.56 | 0.64 | 0.069038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014787 | 0.111658 | 609 | 14 | 95 | 43.5 | 0.868762 | 0 | 0 | 0 | 0 | 0 | 0.10509 | 0.042693 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 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 |
43b219f1675072d8c1034bc153a5f05238d1fdf2 | 639 | py | Python | AppPkg/Applications/Python/Python-2.7.2/Lib/lib2to3/fixes/fix_methodattrs.py | CEOALT1/RefindPlusUDK | 116b957ad735f96fbb6d80a0ba582046960ba164 | [
"BSD-2-Clause"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | AppPkg/Applications/Python/Python-2.7.2/Lib/lib2to3/fixes/fix_methodattrs.py | CEOALT1/RefindPlusUDK | 116b957ad735f96fbb6d80a0ba582046960ba164 | [
"BSD-2-Clause"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | AppPkg/Applications/Python/Python-2.7.2/Lib/lib2to3/fixes/fix_methodattrs.py | CEOALT1/RefindPlusUDK | 116b957ad735f96fbb6d80a0ba582046960ba164 | [
"BSD-2-Clause"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | """Fix bound method attributes (method.im_? -> method.__?__).
"""
# Author: Christian Heimes
# Local imports
from .. import fixer_base
from ..fixer_util import Name
MAP = {
"im_func" : "__func__",
"im_self" : "__self__",
"im_class" : "__self__.__class__"
}
class FixMethodattrs(fixer_bas... | 25.56 | 80 | 0.596244 | 73 | 639 | 4.794521 | 0.547945 | 0.051429 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002075 | 0.245696 | 639 | 24 | 81 | 26.625 | 0.724066 | 0.153365 | 0 | 0 | 0 | 0.0625 | 0.284872 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43b28c13174a1c70f27d43e88e2fd455da590fcc | 4,764 | py | Python | models/TextCNN/cnn2d.py | Renovamen/Text-Classification | 4a4aa4001c402ed4371ebaabe1393b27794e5992 | [
"MIT"
] | 72 | 2020-06-23T18:26:47.000Z | 2022-03-26T13:33:30.000Z | models/TextCNN/cnn2d.py | Renovamen/Text-Classification | 4a4aa4001c402ed4371ebaabe1393b27794e5992 | [
"MIT"
] | 5 | 2020-12-04T13:31:09.000Z | 2021-08-03T14:11:52.000Z | models/TextCNN/cnn2d.py | Renovamen/Text-Classification | 4a4aa4001c402ed4371ebaabe1393b27794e5992 | [
"MIT"
] | 15 | 2020-06-24T16:08:39.000Z | 2022-02-04T06:53:38.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import List
class TextCNN2D(nn.Module):
"""
Implementation of 2D version of TextCNN proposed in paper [1].
`Here <https://github.com/yoonkim/CNN_sentence>`_ is the official
implementation of TextCNN.
Parameters
---... | 30.538462 | 145 | 0.588161 | 557 | 4,764 | 4.874327 | 0.276481 | 0.040516 | 0.018416 | 0.022099 | 0.222099 | 0.195948 | 0.195948 | 0.178269 | 0.12523 | 0.12523 | 0 | 0.018781 | 0.31822 | 4,764 | 155 | 146 | 30.735484 | 0.817118 | 0.407221 | 0 | 0.193548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.064516 | 0 | 0.145161 | 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 |
43b37687b876abf43457859ada796360f659fa78 | 2,595 | py | Python | heat/tests/convergence/framework/testutils.py | maestro-hybrid-cloud/heat | 91a4bb3170bd81b1c67a896706851e55709c9b5a | [
"Apache-2.0"
] | null | null | null | heat/tests/convergence/framework/testutils.py | maestro-hybrid-cloud/heat | 91a4bb3170bd81b1c67a896706851e55709c9b5a | [
"Apache-2.0"
] | null | null | null | heat/tests/convergence/framework/testutils.py | maestro-hybrid-cloud/heat | 91a4bb3170bd81b1c67a896706851e55709c9b5a | [
"Apache-2.0"
] | null | null | null | #
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... | 36.549296 | 79 | 0.649326 | 308 | 2,595 | 5.292208 | 0.38961 | 0.068712 | 0.044172 | 0.06135 | 0.191411 | 0.15092 | 0.062577 | 0.062577 | 0.062577 | 0.062577 | 0 | 0.004204 | 0.266667 | 2,595 | 70 | 80 | 37.071429 | 0.852338 | 0.210405 | 0 | 0.04878 | 0 | 0 | 0.043286 | 0 | 0 | 0 | 0 | 0 | 0.146341 | 1 | 0.04878 | false | 0 | 0.097561 | 0.02439 | 0.170732 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43b56590cfbfa648aa925a4f729f3fc4fe304008 | 2,605 | py | Python | nova/tests/servicegroup/test_zk_driver.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | 7 | 2017-06-19T19:37:00.000Z | 2019-06-16T02:06:14.000Z | nova/tests/servicegroup/test_zk_driver.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | 9 | 2015-05-20T11:20:17.000Z | 2017-07-27T08:21:33.000Z | nova/tests/servicegroup/test_zk_driver.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | 13 | 2015-05-05T09:34:04.000Z | 2017-11-08T02:03:46.000Z | # Copyright (c) AT&T 2012-2013 Yun Mao <yunmao@gmail.com>
# Copyright 2012 IBM Corp.
#
# 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/LICENS... | 39.469697 | 78 | 0.700576 | 345 | 2,605 | 5.185507 | 0.434783 | 0.100615 | 0.095584 | 0.058133 | 0.286752 | 0.286752 | 0.27166 | 0.27166 | 0.27166 | 0.27166 | 0 | 0.012615 | 0.208829 | 2,605 | 65 | 79 | 40.076923 | 0.85541 | 0.416891 | 0 | 0.322581 | 0 | 0 | 0.094126 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 1 | 0.096774 | false | 0 | 0.16129 | 0 | 0.290323 | 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 |
43b6084ad6323124af0ef6d980f927d5cab21334 | 780 | py | Python | tests/test_misc.py | lordmauve/chopsticks | 87c6a5d0049a45db1477a21510cba650f470a8ac | [
"Apache-2.0"
] | 171 | 2016-07-14T11:29:15.000Z | 2022-03-12T07:39:12.000Z | tests/test_misc.py | moreati/chopsticks | 87c6a5d0049a45db1477a21510cba650f470a8ac | [
"Apache-2.0"
] | 59 | 2016-07-23T14:05:58.000Z | 2020-06-26T15:49:07.000Z | tests/test_misc.py | moreati/chopsticks | 87c6a5d0049a45db1477a21510cba650f470a8ac | [
"Apache-2.0"
] | 17 | 2016-08-01T06:46:27.000Z | 2018-03-25T14:46:15.000Z | """Tests for miscellaneous properties, such as debuggability."""
import time
from chopsticks.tunnel import Docker
from chopsticks.group import Group
def test_tunnel_repr():
"""Tunnels have a usable repr."""
tun = Docker('py36', image='python:3.6')
assert repr(tun) == "Docker('py36')"
def test_group_repr... | 25.16129 | 65 | 0.601282 | 105 | 780 | 4.409524 | 0.371429 | 0.107991 | 0.12959 | 0.136069 | 0.468683 | 0.326134 | 0.326134 | 0.326134 | 0.233261 | 0.233261 | 0 | 0.042553 | 0.216667 | 780 | 30 | 66 | 26 | 0.715221 | 0.174359 | 0 | 0.5 | 0 | 0 | 0.197432 | 0.035313 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.15 | false | 0 | 0.15 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43b62d9d4c35cd12677417d9abccab4b3568c545 | 3,028 | py | Python | Evaluation/PostProcesing.py | AnnonymousRacoon/Quantum-Random-Walks-to-Solve-Diffusion | 366ac5073cea96b662b934c3657446c9f1aa2f65 | [
"MIT"
] | null | null | null | Evaluation/PostProcesing.py | AnnonymousRacoon/Quantum-Random-Walks-to-Solve-Diffusion | 366ac5073cea96b662b934c3657446c9f1aa2f65 | [
"MIT"
] | 3 | 2022-03-12T17:16:36.000Z | 2022-03-17T12:14:56.000Z | Evaluation/PostProcesing.py | AnnonymousRacoon/Quantum-Random-Walks-to-Solve-Diffusion | 366ac5073cea96b662b934c3657446c9f1aa2f65 | [
"MIT"
] | 1 | 2022-03-12T11:56:43.000Z | 2022-03-12T11:56:43.000Z | import pandas as pd
import re
import glob
def rebuild_counts_from_csv(path,n_dims, shots):
df = pd.read_csv(path)
return rebuild_counts_from_dataframe(dataframe=df, n_dims=n_dims, shots=shots)
def rebuild_counts_from_dataframe(dataframe,n_dims,shots):
dimension_counts = {}
for dimension in range(n_d... | 33.274725 | 89 | 0.691546 | 404 | 3,028 | 4.873762 | 0.180693 | 0.033012 | 0.051803 | 0.036567 | 0.34129 | 0.187913 | 0.134078 | 0.077197 | 0.077197 | 0.077197 | 0 | 0.005668 | 0.18428 | 3,028 | 90 | 90 | 33.644444 | 0.791498 | 0.019815 | 0 | 0.111111 | 0 | 0 | 0.047233 | 0 | 0 | 0 | 0 | 0 | 0.015873 | 1 | 0.142857 | false | 0 | 0.047619 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43b693bbc83efef69f13c3a5a3bab32c542470ab | 2,276 | py | Python | app/wirecard/tasks.py | michel-rodrigues/viggio_backend | f419f0b939209722e1eb1e272f33de172cd5c1f1 | [
"MIT"
] | null | null | null | app/wirecard/tasks.py | michel-rodrigues/viggio_backend | f419f0b939209722e1eb1e272f33de172cd5c1f1 | [
"MIT"
] | null | null | null | app/wirecard/tasks.py | michel-rodrigues/viggio_backend | f419f0b939209722e1eb1e272f33de172cd5c1f1 | [
"MIT"
] | null | null | null | from sentry_sdk import capture_exception
from dateutil.parser import parse
from project_configuration.celery import app
from orders.models import Charge
from request_shoutout.domain.models import Charge as DomainCharge
from .models import WirecardTransactionData
CROSS_SYSTEMS_STATUS_MAPPING = {
'WAITING': Domai... | 38.576271 | 93 | 0.784271 | 249 | 2,276 | 6.799197 | 0.37751 | 0.085056 | 0.111636 | 0.119905 | 0.357354 | 0.295924 | 0.251034 | 0.217956 | 0.217956 | 0 | 0 | 0 | 0.146749 | 2,276 | 58 | 94 | 39.241379 | 0.871782 | 0.075571 | 0 | 0 | 0 | 0 | 0.064731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43b93580a409ca7d715e6c81e1d0f3517269cec7 | 4,277 | py | Python | dygraph/alexnet/network.py | Sunyingbin/models | 30a7f1757bfad79935aa865f4362a7b38e63a415 | [
"Apache-2.0"
] | null | null | null | dygraph/alexnet/network.py | Sunyingbin/models | 30a7f1757bfad79935aa865f4362a7b38e63a415 | [
"Apache-2.0"
] | null | null | null | dygraph/alexnet/network.py | Sunyingbin/models | 30a7f1757bfad79935aa865f4362a7b38e63a415 | [
"Apache-2.0"
] | null | null | null | """
动态图构建 AlexNet
"""
import paddle.fluid as fluid
import numpy as np
class Conv2D(fluid.dygraph.Layer):
def __init__(self,
name_scope,
num_channels,
num_filters,
filter_size,
stride=1,
padding=0,
... | 32.9 | 118 | 0.53098 | 503 | 4,277 | 4.240557 | 0.184891 | 0.061885 | 0.045007 | 0.039381 | 0.498359 | 0.474449 | 0.46226 | 0.37459 | 0.357243 | 0.357243 | 0 | 0.046546 | 0.36708 | 4,277 | 129 | 119 | 33.155039 | 0.741411 | 0.00304 | 0 | 0.394495 | 0 | 0 | 0.014788 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055046 | false | 0 | 0.018349 | 0 | 0.137615 | 0.009174 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43bbbe3418d6d5e2da95d398c3928141e4b68eab | 905 | py | Python | turtlegameproject/turtlegame.py | Ayon134/code_for_Kids | d90698bb38efe5e26c31f02bd129bfdadea158e2 | [
"MIT"
] | null | null | null | turtlegameproject/turtlegame.py | Ayon134/code_for_Kids | d90698bb38efe5e26c31f02bd129bfdadea158e2 | [
"MIT"
] | null | null | null | turtlegameproject/turtlegame.py | Ayon134/code_for_Kids | d90698bb38efe5e26c31f02bd129bfdadea158e2 | [
"MIT"
] | 2 | 2021-01-08T03:52:46.000Z | 2021-04-01T19:16:12.000Z | import turtle
import random
p1=turtle.Turtle()
p1.color("green")
p1.shape("turtle")
p1.penup()
p1.goto(-200,100)
p2=p1.clone()
p2.color("blue")
p2.penup()
p2.goto(-200,-100)
p1.goto(300,60)
p1.pendown()
p1.circle(40)
p1.penup()
p1.goto(-200,100)
p2.goto(300,-140)
p2.pendown()
p2.circle(40)
p2.penup()
p2.goto(-200,-... | 17.745098 | 49 | 0.571271 | 148 | 905 | 3.452703 | 0.371622 | 0.054795 | 0.078278 | 0.050881 | 0.340509 | 0.258317 | 0.082192 | 0 | 0 | 0 | 0 | 0.139738 | 0.240884 | 905 | 51 | 50 | 17.745098 | 0.604076 | 0 | 0 | 0.243902 | 0 | 0 | 0.140177 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04878 | 0 | 0.04878 | 0.146341 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43be862a8ae3652cfbde5c9e9ea45da257901956 | 1,633 | py | Python | app.py | thliang01/nba-s | 660d0e830989916b7b9f3123eb809d143b714186 | [
"BSD-2-Clause"
] | null | null | null | app.py | thliang01/nba-s | 660d0e830989916b7b9f3123eb809d143b714186 | [
"BSD-2-Clause"
] | null | null | null | app.py | thliang01/nba-s | 660d0e830989916b7b9f3123eb809d143b714186 | [
"BSD-2-Clause"
] | null | null | null | import streamlit as st
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# --------------------------------------------------------------
# Import and clean data
game_details = pd.read_csv('games_details.csv')
# print(game_details.head(5))
game_details.drop(['GAME_ID', 'TEAM_... | 32.019608 | 110 | 0.647887 | 234 | 1,633 | 4.380342 | 0.487179 | 0.150244 | 0.027317 | 0.027317 | 0.039024 | 0.039024 | 0 | 0 | 0 | 0 | 0 | 0.018569 | 0.109614 | 1,633 | 50 | 111 | 32.66 | 0.686382 | 0.131047 | 0 | 0 | 0 | 0 | 0.259207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43bfd11896f962234020d5d611ad3cb21b537df7 | 19,228 | py | Python | python/craftassist/voxel_models/geoscorer/geoscorer_util.py | kepolol/craftassist | f60a7edd0b4ea72b774cca45ba468d2e275445c2 | [
"MIT"
] | null | null | null | python/craftassist/voxel_models/geoscorer/geoscorer_util.py | kepolol/craftassist | f60a7edd0b4ea72b774cca45ba468d2e275445c2 | [
"MIT"
] | null | null | null | python/craftassist/voxel_models/geoscorer/geoscorer_util.py | kepolol/craftassist | f60a7edd0b4ea72b774cca45ba468d2e275445c2 | [
"MIT"
] | 1 | 2020-03-29T20:04:11.000Z | 2020-03-29T20:04:11.000Z | """
Copyright (c) Facebook, Inc. and its affiliates.
"""
import numpy as np
import random
from datetime import datetime
import sys
import argparse
import torch
import os
from inspect import currentframe, getframeinfo
GEOSCORER_DIR = os.path.dirname(os.path.realpath(__file__))
CRAFTASSIST_DIR = os.path.join(GEOSCORER_... | 34.27451 | 99 | 0.63808 | 3,103 | 19,228 | 3.775701 | 0.145343 | 0.023045 | 0.04353 | 0.019461 | 0.253158 | 0.196142 | 0.16661 | 0.127859 | 0.089962 | 0.078696 | 0 | 0.023307 | 0.225713 | 19,228 | 560 | 100 | 34.335714 | 0.763635 | 0.136364 | 0 | 0.121294 | 0 | 0 | 0.079521 | 0.007369 | 0 | 0 | 0 | 0.001786 | 0 | 1 | 0.115903 | false | 0 | 0.024259 | 0.018868 | 0.245283 | 0.002695 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43c0a7c7b3cc424327d10e1b990bf63c250e8eb4 | 4,907 | py | Python | CryptoAttacks/tests/Block/test_gcm.py | akbarszcz/CryptoAttacks | ae675d016b314414a3dc9b23c7d8a32da4c62457 | [
"MIT"
] | 54 | 2017-03-28T23:46:58.000Z | 2022-02-23T01:53:38.000Z | CryptoAttacks/tests/Block/test_gcm.py | maximmasiutin/CryptoAttacks | d1d47d3cb2ce38738a60b728bc35ce80bfe64374 | [
"MIT"
] | null | null | null | CryptoAttacks/tests/Block/test_gcm.py | maximmasiutin/CryptoAttacks | d1d47d3cb2ce38738a60b728bc35ce80bfe64374 | [
"MIT"
] | 13 | 2017-03-31T06:07:23.000Z | 2021-11-20T19:01:30.000Z | #!/usr/bin/python
from __future__ import absolute_import, division, print_function
import subprocess
from builtins import bytes, range
from os.path import abspath, dirname
from os.path import join as join_path
from random import randint
from CryptoAttacks.Block.gcm import *
from CryptoAttacks.Utils import log
def... | 31.254777 | 144 | 0.678419 | 604 | 4,907 | 5.304636 | 0.246689 | 0.021848 | 0.008739 | 0.011236 | 0.248127 | 0.172285 | 0.149189 | 0.105493 | 0.06804 | 0.031211 | 0 | 0.10718 | 0.210923 | 4,907 | 156 | 145 | 31.455128 | 0.7203 | 0.019156 | 0 | 0.237705 | 0 | 0 | 0.04432 | 0 | 0 | 0 | 0 | 0 | 0.07377 | 1 | 0.04918 | false | 0 | 0.065574 | 0 | 0.122951 | 0.221311 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43c1a9b70d766525944aa92cfc1043f3d5e3bc1b | 17,842 | py | Python | owscapable/swe/common.py | b-cube/OwsCapable | a01815418fe982434503d6542cb18e1ac8989684 | [
"BSD-3-Clause"
] | 1 | 2016-02-01T12:55:13.000Z | 2016-02-01T12:55:13.000Z | owscapable/swe/common.py | b-cube/OwsCapable | a01815418fe982434503d6542cb18e1ac8989684 | [
"BSD-3-Clause"
] | 1 | 2015-06-23T14:07:50.000Z | 2015-06-23T14:07:50.000Z | owscapable/swe/common.py | b-cube/OwsCapable | a01815418fe982434503d6542cb18e1ac8989684 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import (absolute_import, division, print_function)
from owscapable.util import nspath_eval
from owscapable.namespaces import Namespaces
from owscapable.util import testXMLAttribute, testXMLValue, InfiniteDateTime, NegativeInfiniteDateTime
from dateutil import parser
from datetime import timedelta
fro... | 43.200969 | 172 | 0.619325 | 1,838 | 17,842 | 5.84494 | 0.121872 | 0.04105 | 0.054454 | 0.072605 | 0.567067 | 0.496789 | 0.380434 | 0.3459 | 0.314717 | 0.314717 | 0 | 0.015447 | 0.267066 | 17,842 | 412 | 173 | 43.305825 | 0.806072 | 0.081045 | 0 | 0.417476 | 0 | 0 | 0.0886 | 0.021916 | 0 | 0 | 0 | 0 | 0 | 1 | 0.152104 | false | 0.003236 | 0.022654 | 0.016181 | 0.372168 | 0.006472 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43c2d697bacb0820c4e842d6861cb1732909d8a0 | 11,386 | py | Python | main_fed.py | gao969/scaffold-dgc-clustering | 9f259dfdf0897dcb1dece2e1197268f585f54a69 | [
"MIT"
] | null | null | null | main_fed.py | gao969/scaffold-dgc-clustering | 9f259dfdf0897dcb1dece2e1197268f585f54a69 | [
"MIT"
] | null | null | null | main_fed.py | gao969/scaffold-dgc-clustering | 9f259dfdf0897dcb1dece2e1197268f585f54a69 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import copy
import numpy as np
from torchvision import datasets, transforms
import torch
import os
import torch.distributed as dist
from utils.sampling import mnist_iid, mnist_non... | 35.033846 | 136 | 0.584578 | 1,505 | 11,386 | 4.2 | 0.168771 | 0.021041 | 0.022781 | 0.016137 | 0.528239 | 0.469862 | 0.399462 | 0.347888 | 0.313083 | 0.304224 | 0 | 0.014306 | 0.25101 | 11,386 | 324 | 137 | 35.141975 | 0.7269 | 0.14711 | 0 | 0.357513 | 0 | 0 | 0.065379 | 0.006985 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.093264 | 0 | 0.093264 | 0.056995 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43c3bca28b83f4b20caa188f5ac7f59f03173404 | 2,085 | py | Python | b_lambda_layer_common_test/integration/infrastructure/function_with_unit_tests.py | gkazla/B.LambdaLayerCommon | 1a4f9cd3d8b7e447c8467bd7dde50cb9e9a6e980 | [
"Apache-2.0"
] | null | null | null | b_lambda_layer_common_test/integration/infrastructure/function_with_unit_tests.py | gkazla/B.LambdaLayerCommon | 1a4f9cd3d8b7e447c8467bd7dde50cb9e9a6e980 | [
"Apache-2.0"
] | null | null | null | b_lambda_layer_common_test/integration/infrastructure/function_with_unit_tests.py | gkazla/B.LambdaLayerCommon | 1a4f9cd3d8b7e447c8467bd7dde50cb9e9a6e980 | [
"Apache-2.0"
] | null | null | null | from aws_cdk.aws_lambda import Function, Code, Runtime
from aws_cdk.core import Stack, Duration
from b_aws_testing_framework.tools.cdk_testing.testing_stack import TestingStack
from b_cfn_lambda_layer.package_version import PackageVersion
from b_lambda_layer_common.layer import Layer
from b_lambda_layer_common_test.un... | 47.386364 | 129 | 0.601918 | 230 | 2,085 | 5.278261 | 0.513043 | 0.074135 | 0.079077 | 0.102142 | 0.088962 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013533 | 0.326619 | 2,085 | 43 | 130 | 48.488372 | 0.85114 | 0.268585 | 0 | 0.068966 | 0 | 0 | 0.122081 | 0.070714 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.241379 | 0 | 0.310345 | 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 |
43c657c522f9cb22a9a0ca2bb0912e5da035332c | 7,309 | py | Python | slow_tests/boot_test.py | rdturnermtl/mlpaper | 5da5cb7b3a56d3cfdc7162d01fac2679c9050e76 | [
"Apache-2.0"
] | 9 | 2020-07-23T02:12:48.000Z | 2021-06-24T08:19:08.000Z | slow_tests/boot_test.py | rdturnermtl/benchmark_tools | 5da5cb7b3a56d3cfdc7162d01fac2679c9050e76 | [
"Apache-2.0"
] | 14 | 2017-11-29T04:17:04.000Z | 2018-03-07T00:35:00.000Z | slow_tests/boot_test.py | rdturnermtl/mlpaper | 5da5cb7b3a56d3cfdc7162d01fac2679c9050e76 | [
"Apache-2.0"
] | 1 | 2017-12-29T01:46:31.000Z | 2017-12-29T01:46:31.000Z | # Ryan Turner (turnerry@iro.umontreal.ca)
from __future__ import division, print_function
from builtins import range
import numpy as np
import scipy.stats as ss
import mlpaper.constants as cc
import mlpaper.mlpaper as bt
import mlpaper.perf_curves as pc
from mlpaper.classification import DEFAULT_NGRID, curve_boot
fr... | 35.480583 | 118 | 0.623341 | 1,176 | 7,309 | 3.614796 | 0.182823 | 0.035286 | 0.027523 | 0.031757 | 0.516349 | 0.478946 | 0.401553 | 0.320866 | 0.283227 | 0.207245 | 0 | 0.031711 | 0.257901 | 7,309 | 205 | 119 | 35.653659 | 0.752028 | 0.0877 | 0 | 0.194969 | 0 | 0 | 0.011128 | 0 | 0 | 0 | 0 | 0 | 0.062893 | 1 | 0.037736 | false | 0.006289 | 0.062893 | 0 | 0.113208 | 0.062893 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43c90a0a29279010bde058050d6af3ae4d07f61d | 3,047 | py | Python | core/test/test_timeseries_study.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/test/test_timeseries_study.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/test/test_timeseries_study.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | from typing import Any, Dict
import numpy as np
import pandas as pd
import core.artificial_signal_generators as sig_gen
import core.statistics as stats
import core.timeseries_study as tss
import helpers.unit_test as hut
class TestTimeSeriesDailyStudy(hut.TestCase):
def test_usual_case(self) -> None:
idx... | 33.855556 | 72 | 0.628159 | 393 | 3,047 | 4.56743 | 0.307888 | 0.050139 | 0.020056 | 0.033426 | 0.547632 | 0.547632 | 0.547632 | 0.547632 | 0.547632 | 0.547632 | 0 | 0.02815 | 0.265507 | 3,047 | 89 | 73 | 34.235955 | 0.773905 | 0 | 0 | 0.441558 | 0 | 0 | 0.04168 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.246753 | 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 |
43cc95eb28ba86bd35c1811cb4456f10d8f69c56 | 380 | py | Python | forecasting_algorithms/Multiple_Timeseries/VAR/var.py | ans682/SafePredict_and_Forecasting | 30ac5a0b665fce090567476bc07b54489b2f3d0f | [
"BSD-3-Clause"
] | 1 | 2021-08-05T23:01:47.000Z | 2021-08-05T23:01:47.000Z | forecasting_algorithms/Multiple_Timeseries/VAR/var.py | ans682/SafePredict_and_Forecasting | 30ac5a0b665fce090567476bc07b54489b2f3d0f | [
"BSD-3-Clause"
] | 1 | 2021-12-22T08:26:13.000Z | 2021-12-22T08:26:13.000Z | forecasting_algorithms/Multiple_Timeseries/VAR/var.py | ans682/SafePredict_and_Forecasting | 30ac5a0b665fce090567476bc07b54489b2f3d0f | [
"BSD-3-Clause"
] | null | null | null | # VAR example
from statsmodels.tsa.vector_ar.var_model import VAR
from random import random
# contrived dataset with dependency
data = list()
for i in range(100):
v1 = i + random()
v2 = v1 + random()
row = [v1, v2]
data.append(row)
# fit model
model = VAR(data)
model_fit = model.fit()
# make prediction
... | 22.352941 | 51 | 0.697368 | 60 | 380 | 4.333333 | 0.566667 | 0.123077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029126 | 0.186842 | 380 | 16 | 52 | 23.75 | 0.812298 | 0.186842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 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 |
43ccba90b50389b99008103e1fcff4ea674ca290 | 2,140 | py | Python | candidate-scrape.py | jonykarki/hamroscraper | a7e34a9cdca89be10422d045f1ed34e9956bd75f | [
"MIT"
] | 2 | 2019-09-23T23:41:44.000Z | 2019-10-06T03:13:17.000Z | candidate-scrape.py | jonykarki/hamroscraper | a7e34a9cdca89be10422d045f1ed34e9956bd75f | [
"MIT"
] | null | null | null | candidate-scrape.py | jonykarki/hamroscraper | a7e34a9cdca89be10422d045f1ed34e9956bd75f | [
"MIT"
] | 4 | 2019-11-26T18:29:20.000Z | 2021-01-22T06:30:20.000Z | import json
import urllib.request
import MySQLdb
db = MySQLdb.connect(host="localhost", # your host, usually localhost
user="root", # your username
passwd="", # your password
db="election")
cur = db.cursor()
# user_agent for sending headers w... | 27.792208 | 105 | 0.619159 | 267 | 2,140 | 4.913858 | 0.441948 | 0.027439 | 0.036585 | 0.019817 | 0.07622 | 0.041159 | 0 | 0 | 0 | 0 | 0 | 0.020744 | 0.234112 | 2,140 | 76 | 106 | 28.157895 | 0.779744 | 0.120093 | 0 | 0 | 0 | 0.051282 | 0.322562 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.025641 | 0.076923 | 0 | 0.076923 | 0.153846 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43cde366d5fb7850e5493e9384c566462676fb5d | 3,101 | py | Python | sangita/hindi/lemmatizer.py | ashiscs/sangita | b90c49859339147137db1c2bdb60a1039a00c706 | [
"Apache-2.0"
] | 36 | 2017-05-30T04:41:06.000Z | 2019-02-17T08:41:10.000Z | sangita/hindi/lemmatizer.py | 07kshitij/sangita | b90c49859339147137db1c2bdb60a1039a00c706 | [
"Apache-2.0"
] | 13 | 2018-06-25T11:14:48.000Z | 2021-05-15T17:57:47.000Z | sangita/hindi/lemmatizer.py | 07kshitij/sangita | b90c49859339147137db1c2bdb60a1039a00c706 | [
"Apache-2.0"
] | 33 | 2018-06-23T21:46:39.000Z | 2022-03-01T15:55:37.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 9 23:28:21 2017
@author: samriddhi
"""
import re
import sangita.hindi.tokenizer as tok
import sangita.hindi.corpora.lemmata as lt
def numericLemmatizer(instr):
lst = type([1,2,3])
tup = type(("Hello", "Hi"))
string = type("Hello")
... | 27.936937 | 209 | 0.507256 | 436 | 3,101 | 3.713303 | 0.302752 | 0.080296 | 0.064855 | 0.086473 | 0.510191 | 0.48672 | 0.413836 | 0.413836 | 0.339716 | 0.26189 | 0 | 0.03134 | 0.331183 | 3,101 | 111 | 210 | 27.936937 | 0.719383 | 0.031925 | 0 | 0.564103 | 0 | 0.012821 | 0.118904 | 0.026052 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.038462 | 0 | 0.089744 | 0.089744 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43cfdd42faa2065cb7d2cefc439413b4ed53c719 | 4,471 | py | Python | markdown_editing/tests/test_extension.py | makyo/markdown-editing | ecbc8970f4d416038f9d2c46fae22d4dbb79c647 | [
"MIT"
] | null | null | null | markdown_editing/tests/test_extension.py | makyo/markdown-editing | ecbc8970f4d416038f9d2c46fae22d4dbb79c647 | [
"MIT"
] | null | null | null | markdown_editing/tests/test_extension.py | makyo/markdown-editing | ecbc8970f4d416038f9d2c46fae22d4dbb79c647 | [
"MIT"
] | null | null | null | from markdown import markdown
from unittest import TestCase
from markdown_editing.extension import EditingExtension
class TestExtension(TestCase):
def test_substitution(self):
source = '~{out with the old}{in with the new}'
expected = '<p><span class="substitution"><del>out with the old</del><in... | 39.566372 | 224 | 0.636547 | 612 | 4,471 | 4.633987 | 0.150327 | 0.049365 | 0.059591 | 0.045839 | 0.605078 | 0.575811 | 0.520099 | 0.494711 | 0.47708 | 0.47708 | 0 | 0.008738 | 0.180944 | 4,471 | 112 | 225 | 39.919643 | 0.765702 | 0.006263 | 0 | 0.440476 | 0 | 0.190476 | 0.593018 | 0.177252 | 0 | 0 | 0 | 0 | 0.107143 | 1 | 0.095238 | false | 0 | 0.035714 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43cffed323ab5de7f6be36b25de0a210ece3af09 | 15,477 | py | Python | apps/siren/test_handlers.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 15 | 2019-02-12T23:26:09.000Z | 2021-12-21T08:53:58.000Z | apps/siren/test_handlers.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 2 | 2019-01-23T21:13:12.000Z | 2019-06-28T15:45:51.000Z | apps/siren/test_handlers.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 6 | 2019-01-23T20:22:50.000Z | 2022-02-03T03:27:04.000Z | """
SIREN/DIANA basic functionality testing framework
Requires env vars:
- GMAIL_USER
- GMAIL_APP_PASSWORD
- GMAIL_BASE_NAME -- ie, abc -> abc+hobitduke@gmail.com
These env vars are set to default:
- ORTHANC_PASSWORD
- SPLUNK_PASSWORD
- SPLUNK_HEC_TOKEN
TODO: Move stuff to archive after collected
TODO: Write data i... | 27.588235 | 151 | 0.648511 | 1,917 | 15,477 | 5.063641 | 0.18049 | 0.016689 | 0.022767 | 0.026785 | 0.461523 | 0.419594 | 0.382301 | 0.347687 | 0.315752 | 0.30648 | 0 | 0.006187 | 0.237708 | 15,477 | 560 | 152 | 27.6375 | 0.816579 | 0.116625 | 0 | 0.453039 | 0 | 0.002762 | 0.1091 | 0.010152 | 0 | 0 | 0 | 0.005357 | 0.099448 | 1 | 0.041436 | false | 0.035912 | 0.071823 | 0 | 0.146409 | 0.110497 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43d0fea901e478a41a7213fecbddf4d86fc4b79e | 6,735 | py | Python | deptree.py | jeking3/boost-deptree | 27eda54df2d022af17347df4ba4892c39392e474 | [
"BSL-1.0"
] | null | null | null | deptree.py | jeking3/boost-deptree | 27eda54df2d022af17347df4ba4892c39392e474 | [
"BSL-1.0"
] | null | null | null | deptree.py | jeking3/boost-deptree | 27eda54df2d022af17347df4ba4892c39392e474 | [
"BSL-1.0"
] | null | null | null | #
# Copyright (c) 2019 James E. King III
#
# Use, modification, and distribution are subject to the
# Boost Software License, Version 1.0. (See accompanying file
# LICENSE_1_0.txt or copy at https://www.boost.org/LICENSE_1_0.txt)
#
import json
import networkx
import re
from pathlib import Path
class BoostDependencyT... | 40.572289 | 111 | 0.515367 | 754 | 6,735 | 4.519894 | 0.287798 | 0.032864 | 0.028169 | 0.015845 | 0.17723 | 0.163732 | 0.139671 | 0.139671 | 0.139671 | 0.139671 | 0 | 0.011604 | 0.360208 | 6,735 | 165 | 112 | 40.818182 | 0.779299 | 0.120267 | 0 | 0.162602 | 0 | 0 | 0.158221 | 0.011548 | 0 | 0 | 0 | 0 | 0.01626 | 1 | 0.04878 | false | 0 | 0.04065 | 0 | 0.113821 | 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 |
43d13fbbdf77afe2138ccc76bfc3468760cf2d47 | 7,357 | py | Python | uberbackend.py | adiHusky/uber_backend | adc78882c081f7636b809d6e1889ba3297309e20 | [
"MIT"
] | null | null | null | uberbackend.py | adiHusky/uber_backend | adc78882c081f7636b809d6e1889ba3297309e20 | [
"MIT"
] | null | null | null | uberbackend.py | adiHusky/uber_backend | adc78882c081f7636b809d6e1889ba3297309e20 | [
"MIT"
] | null | null | null | from flask import Flask, flash, request, jsonify, render_template, redirect, url_for, g, session, send_from_directory, abort
from flask_cors import CORS
# from flask import status
from datetime import date, datetime, timedelta
from calendar import monthrange
from dateutil.parser import parse
import pytz
import os
impor... | 29.079051 | 124 | 0.652984 | 857 | 7,357 | 5.472579 | 0.33839 | 0.03049 | 0.012793 | 0.014499 | 0.196802 | 0.196802 | 0.180597 | 0.166311 | 0.155224 | 0.155224 | 0 | 0.014393 | 0.206742 | 7,357 | 252 | 125 | 29.194444 | 0.789239 | 0.221286 | 0 | 0.27027 | 0 | 0.013514 | 0.1195 | 0.026073 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101351 | false | 0 | 0.135135 | 0.013514 | 0.310811 | 0.060811 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43d2040db0a01d747e5d0a9ffdc2859f95f69610 | 6,359 | py | Python | sppas/sppas/src/models/acm/htkscripts.py | mirfan899/MTTS | 3167b65f576abcc27a8767d24c274a04712bd948 | [
"MIT"
] | null | null | null | sppas/sppas/src/models/acm/htkscripts.py | mirfan899/MTTS | 3167b65f576abcc27a8767d24c274a04712bd948 | [
"MIT"
] | null | null | null | sppas/sppas/src/models/acm/htkscripts.py | mirfan899/MTTS | 3167b65f576abcc27a8767d24c274a04712bd948 | [
"MIT"
] | null | null | null | """
..
---------------------------------------------------------------------
___ __ __ __ ___
/ | \ | \ | \ / the automatic
\__ |__/ |__/ |___| \__ annotation and
\ | | | | \ analysis
___/... | 32.610256 | 80 | 0.492845 | 703 | 6,359 | 4.375533 | 0.268848 | 0.054616 | 0.046814 | 0.03316 | 0.421326 | 0.380364 | 0.352731 | 0.290312 | 0.265605 | 0.265605 | 0 | 0.008132 | 0.284479 | 6,359 | 194 | 81 | 32.778351 | 0.667912 | 0.465797 | 0 | 0.453333 | 0 | 0 | 0.150391 | 0.009115 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106667 | false | 0 | 0.04 | 0 | 0.16 | 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 |
43d3b50d90e2618726a0619c25ddcb995a36172f | 2,961 | py | Python | icekit/plugins/map/tests.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 52 | 2016-09-13T03:50:58.000Z | 2022-02-23T16:25:08.000Z | icekit/plugins/map/tests.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 304 | 2016-08-11T14:17:30.000Z | 2020-07-22T13:35:18.000Z | icekit/plugins/map/tests.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 12 | 2016-09-21T18:46:35.000Z | 2021-02-15T19:37:50.000Z | from mock import patch
from django.contrib.contenttypes.models import ContentType
from django.contrib.sites.models import Site
from django.contrib.auth import get_user_model
from django.core import exceptions
from django_dynamic_fixture import G
from django_webtest import WebTest
from icekit.models import Layout
from... | 38.960526 | 381 | 0.67207 | 375 | 2,961 | 5.106667 | 0.341333 | 0.058486 | 0.065796 | 0.031332 | 0.315405 | 0.267363 | 0.240209 | 0.240209 | 0.240209 | 0.240209 | 0 | 0.12706 | 0.221209 | 2,961 | 75 | 382 | 39.48 | 0.703382 | 0 | 0 | 0.031746 | 0 | 0.031746 | 0.306991 | 0.009119 | 0 | 0 | 0 | 0 | 0.015873 | 1 | 0.047619 | false | 0 | 0.174603 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43d619ff813d6467445c26ac811f7e5c110c5dd3 | 729 | py | Python | terminalone/models/concept.py | amehta1/t1-python | 4f7eb0bec7671b29baf3105b8cafafb373107e7b | [
"Apache-2.0"
] | 24 | 2015-07-09T18:49:10.000Z | 2021-06-07T18:36:58.000Z | terminalone/models/concept.py | amehta1/t1-python | 4f7eb0bec7671b29baf3105b8cafafb373107e7b | [
"Apache-2.0"
] | 100 | 2015-07-13T20:24:50.000Z | 2020-08-10T11:16:39.000Z | terminalone/models/concept.py | amehta1/t1-python | 4f7eb0bec7671b29baf3105b8cafafb373107e7b | [
"Apache-2.0"
] | 36 | 2015-07-09T18:51:48.000Z | 2022-02-14T22:44:37.000Z | # -*- coding: utf-8 -*-
"""Provides concept object."""
from __future__ import absolute_import
from .. import t1types
from ..entity import Entity
class Concept(Entity):
"""Concept entity."""
collection = 'concepts'
resource = 'concept'
_relations = {
'advertiser',
}
_pull = {
'... | 22.78125 | 68 | 0.581619 | 73 | 729 | 5.493151 | 0.561644 | 0.064838 | 0.069825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009399 | 0.270233 | 729 | 31 | 69 | 23.516129 | 0.744361 | 0.08642 | 0 | 0 | 0 | 0 | 0.126718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.125 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43d690157e44125280f30cea5097fb9b835832b6 | 932 | py | Python | videofeed.py | dmeklund/asyncdemo | 956f193c0fa38744965362966ac7f8ef224409b4 | [
"MIT"
] | null | null | null | videofeed.py | dmeklund/asyncdemo | 956f193c0fa38744965362966ac7f8ef224409b4 | [
"MIT"
] | null | null | null | videofeed.py | dmeklund/asyncdemo | 956f193c0fa38744965362966ac7f8ef224409b4 | [
"MIT"
] | null | null | null | """
Mock up a video feed pipeline
"""
import asyncio
import logging
import sys
import cv2
logging.basicConfig(format="[%(thread)-5d]%(asctime)s: %(message)s")
logger = logging.getLogger('async')
logger.setLevel(logging.INFO)
async def process_video(filename):
cap = cv2.VideoCapture(filename)
tasks = list()
... | 22.731707 | 76 | 0.687768 | 123 | 932 | 5.02439 | 0.471545 | 0.07767 | 0.048544 | 0.071197 | 0.174757 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013021 | 0.175966 | 932 | 40 | 77 | 23.3 | 0.791667 | 0.031116 | 0 | 0 | 0 | 0 | 0.119553 | 0.02905 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.148148 | 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 |
43d763b4860a448a07b1ac979d461dd9025028b9 | 11,807 | py | Python | parsers/read_lspci_and_glxinfo.py | mikeus9908/peracotta | c54c351acae8afec250185f4bc714a2f86c47c90 | [
"MIT"
] | 3 | 2019-04-01T17:28:20.000Z | 2020-11-19T17:25:32.000Z | parsers/read_lspci_and_glxinfo.py | mikeus9908/peracotta | c54c351acae8afec250185f4bc714a2f86c47c90 | [
"MIT"
] | 142 | 2018-11-05T18:13:13.000Z | 2022-03-12T17:43:40.000Z | parsers/read_lspci_and_glxinfo.py | mikeus9908/peracotta | c54c351acae8afec250185f4bc714a2f86c47c90 | [
"MIT"
] | 10 | 2019-10-25T12:28:37.000Z | 2021-05-17T17:32:56.000Z | #!/usr/bin/python3
"""
Read "lspci -v" and "glxinfo" outputs
"""
import re
from dataclasses import dataclass
from InputFileNotFoundError import InputFileNotFoundError
@dataclass
class VideoCard:
type = "graphics-card"
manufacturer_brand = ""
reseller_brand = ""
internal_name = ""
model = ""
... | 40.023729 | 121 | 0.510206 | 1,249 | 11,807 | 4.670136 | 0.224179 | 0.042345 | 0.049374 | 0.04286 | 0.318704 | 0.271901 | 0.223727 | 0.143151 | 0.083319 | 0.083319 | 0 | 0.011693 | 0.348099 | 11,807 | 294 | 122 | 40.159864 | 0.746135 | 0.187008 | 0 | 0.21659 | 0 | 0.009217 | 0.11644 | 0.007749 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018433 | false | 0.004608 | 0.023041 | 0 | 0.096774 | 0.018433 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43d87b5ab1e5e10305ebbe366e85481beb47273f | 2,637 | py | Python | chapter2/intogen-arrays/src/mrna/mrna_comb_gene_classif.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | 1 | 2015-12-22T00:53:18.000Z | 2015-12-22T00:53:18.000Z | chapter2/intogen-arrays/src/mrna/mrna_comb_gene_classif.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | null | null | null | chapter2/intogen-arrays/src/mrna/mrna_comb_gene_classif.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
"""
Classify oncodrive gene results and prepare for combination
* Configuration parameters:
- The ones required by intogen.data.entity.EntityManagerFactory
* Input:
- oncodrive_ids: The mrna.oncodrive_genes to process
* Output:
- combinations: The mrna.combination prepared to be calculated
... | 21.975 | 115 | 0.680319 | 365 | 2,637 | 4.753425 | 0.334247 | 0.031124 | 0.051873 | 0.039769 | 0.079539 | 0.079539 | 0.044957 | 0.044957 | 0.044957 | 0.044957 | 0 | 0.006306 | 0.158134 | 2,637 | 119 | 116 | 22.159664 | 0.775225 | 0.14562 | 0 | 0.03125 | 0 | 0 | 0.22247 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015625 | false | 0 | 0.09375 | 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 |
43d983edaa81a2f049c07647c3d3908b2dea574f | 1,605 | py | Python | configs/utils/config_generator.py | user-wu/SOD_eval_metrics | d5b8804580cb52a4237c8e613818d10591dc6597 | [
"MIT"
] | null | null | null | configs/utils/config_generator.py | user-wu/SOD_eval_metrics | d5b8804580cb52a4237c8e613818d10591dc6597 | [
"MIT"
] | null | null | null | configs/utils/config_generator.py | user-wu/SOD_eval_metrics | d5b8804580cb52a4237c8e613818d10591dc6597 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from matplotlib import colors
# max = 148
_COLOR_Genarator = iter(
sorted(
[
color
for name, color in colors.cnames.items()
if name not in ["red", "white"] or not name.startswith("light") or "gray" in name
]
)
)
def curve_info_gener... | 29.181818 | 93 | 0.598754 | 186 | 1,605 | 4.806452 | 0.284946 | 0.090604 | 0.10179 | 0.107383 | 0.479866 | 0.448546 | 0.246085 | 0.105145 | 0.105145 | 0 | 0 | 0.0045 | 0.307788 | 1,605 | 54 | 94 | 29.722222 | 0.80018 | 0.042991 | 0 | 0.146341 | 0 | 0 | 0.078329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0 | 0.02439 | 0 | 0.219512 | 0.02439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43db9748cf12932e64e00e512404058350f2661e | 1,151 | py | Python | core/sms_service.py | kartik1000/jcc-registration-portal | 053eade1122fa760ae112a8599a396d68dfb16b8 | [
"MIT"
] | null | null | null | core/sms_service.py | kartik1000/jcc-registration-portal | 053eade1122fa760ae112a8599a396d68dfb16b8 | [
"MIT"
] | null | null | null | core/sms_service.py | kartik1000/jcc-registration-portal | 053eade1122fa760ae112a8599a396d68dfb16b8 | [
"MIT"
] | null | null | null | from urllib.parse import urlencode
from decouple import config
import hashlib
import requests
BASE = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
auth_key = config('AUTH_KEY')
url = 'http://sms.globehost.com/api/sendhttp.php?'
def encode_base(num, array=BASE):
if(num == 0):
return arr... | 23.979167 | 72 | 0.644657 | 140 | 1,151 | 5.214286 | 0.578571 | 0.028767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022676 | 0.23371 | 1,151 | 47 | 73 | 24.489362 | 0.804989 | 0 | 0 | 0 | 0 | 0 | 0.241739 | 0.053913 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.111111 | 0 | 0.305556 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43dc511c1276023b6e01df3b43e2f8d7dd243462 | 1,522 | py | Python | scripts/fetch_images.py | Protagonistss/sanic-for-v3 | ba7e94273b77914b8d85d67cf513041ada00780d | [
"MIT"
] | null | null | null | scripts/fetch_images.py | Protagonistss/sanic-for-v3 | ba7e94273b77914b8d85d67cf513041ada00780d | [
"MIT"
] | null | null | null | scripts/fetch_images.py | Protagonistss/sanic-for-v3 | ba7e94273b77914b8d85d67cf513041ada00780d | [
"MIT"
] | null | null | null | import sys
import os
sys.path.append(os.pardir)
import random
import time
import requests
from contextlib import closing
from help import utils
from threading import Thread
def get_train_set_path(path: str):
create_path = utils.join_root_path(path)
return create_path
def create_train_set_dir(path='auth-se... | 24.15873 | 79 | 0.660972 | 223 | 1,522 | 4.286996 | 0.408072 | 0.041841 | 0.066946 | 0.047071 | 0.103556 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025726 | 0.208279 | 1,522 | 62 | 80 | 24.548387 | 0.767635 | 0 | 0 | 0 | 0 | 0 | 0.074901 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.173913 | 0 | 0.369565 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43dd49ec321203c525ba8f13879673eb4d300e9f | 3,912 | py | Python | GeneralStats/example.py | haoruilee/statslibrary | 01494043bc7fb82d4aa6d7d550a4e7dc2ac0503a | [
"MIT"
] | 58 | 2019-02-04T13:53:16.000Z | 2022-02-24T02:59:55.000Z | GeneralStats/example.py | haoruilee/statslibrary | 01494043bc7fb82d4aa6d7d550a4e7dc2ac0503a | [
"MIT"
] | null | null | null | GeneralStats/example.py | haoruilee/statslibrary | 01494043bc7fb82d4aa6d7d550a4e7dc2ac0503a | [
"MIT"
] | 19 | 2019-03-21T01:54:55.000Z | 2021-12-03T13:55:16.000Z | import GeneralStats as gs
import numpy as np
from scipy.stats import skew
from scipy.stats import kurtosistest
import pandas as pd
if __name__ == "__main__":
gen=gs.GeneralStats()
data=np.array([[1, 1, 2, 2, 3],[2, 2, 3, 3, 5],[1, 4, 3, 3, 3],[2, 4, 5, 5, 3]])
data1=np.array([1,2,3,4,5])
... | 36.222222 | 109 | 0.576431 | 666 | 3,912 | 3.358859 | 0.129129 | 0.024139 | 0.024139 | 0.048279 | 0.49173 | 0.39249 | 0.323201 | 0.289227 | 0.267769 | 0.223961 | 0 | 0.114954 | 0.201687 | 3,912 | 107 | 110 | 36.560748 | 0.601345 | 0.018149 | 0 | 0.197674 | 0 | 0 | 0.123357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05814 | 0 | 0.05814 | 0.348837 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43de15a64fd73557d8ace8fe63e08534f03c9747 | 400 | py | Python | intro/matplotlib/examples/plot_good.py | zmoon/scipy-lecture-notes | 75a89ddedeb48930dbdb6fe25a76e9ef0587ae21 | [
"CC-BY-4.0"
] | 2,538 | 2015-01-01T04:58:41.000Z | 2022-03-31T21:06:05.000Z | intro/matplotlib/examples/plot_good.py | zmoon/scipy-lecture-notes | 75a89ddedeb48930dbdb6fe25a76e9ef0587ae21 | [
"CC-BY-4.0"
] | 362 | 2015-01-18T14:16:23.000Z | 2021-11-18T16:24:34.000Z | intro/matplotlib/examples/plot_good.py | zmoon/scipy-lecture-notes | 75a89ddedeb48930dbdb6fe25a76e9ef0587ae21 | [
"CC-BY-4.0"
] | 1,127 | 2015-01-05T14:39:29.000Z | 2022-03-25T08:38:39.000Z | """
A simple, good-looking plot
===========================
Demoing some simple features of matplotlib
"""
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(5, 4), dpi=72)
axes = fig.add_axes([0.01, 0.01, .98, 0.98])
X = np.linspace(0, 2, 200)
Y = np... | 18.181818 | 44 | 0.625 | 73 | 400 | 3.410959 | 0.575342 | 0.024096 | 0.024096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075145 | 0.135 | 400 | 21 | 45 | 19.047619 | 0.644509 | 0.2475 | 0 | 0 | 0 | 0 | 0.010239 | 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 |
43de29ccab29a96dd8a22a7b82fb926f80943d99 | 4,087 | py | Python | pfio/_context.py | HiroakiMikami/pfio | 1ac997dcba7babd5d91dd8c4f2793d27a6bab69b | [
"MIT"
] | 24 | 2020-05-23T13:00:27.000Z | 2022-02-17T05:20:51.000Z | pfio/_context.py | HiroakiMikami/pfio | 1ac997dcba7babd5d91dd8c4f2793d27a6bab69b | [
"MIT"
] | 88 | 2020-05-01T06:56:50.000Z | 2022-03-16T07:15:34.000Z | pfio/_context.py | HiroakiMikami/pfio | 1ac997dcba7babd5d91dd8c4f2793d27a6bab69b | [
"MIT"
] | 9 | 2020-05-07T05:47:35.000Z | 2022-02-09T05:42:56.000Z | import os
import re
from typing import Tuple
from pfio._typing import Union
from pfio.container import Container
from pfio.io import IO, create_fs_handler
class FileSystemDriverList(object):
def __init__(self):
# TODO(tianqi): dynamically create this list
# as well as the patterns upon loading th... | 35.232759 | 79 | 0.614387 | 528 | 4,087 | 4.445076 | 0.168561 | 0.025565 | 0.040903 | 0.04346 | 0.325522 | 0.261184 | 0.220281 | 0.163613 | 0.13464 | 0.097997 | 0 | 0.000342 | 0.284805 | 4,087 | 115 | 80 | 35.53913 | 0.8026 | 0.031563 | 0 | 0.306818 | 0 | 0 | 0.029084 | 0.010622 | 0 | 0 | 0 | 0.008696 | 0.011364 | 1 | 0.147727 | false | 0 | 0.068182 | 0.045455 | 0.409091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43e09c3343b0c13466ea8190e66d19dfafb80ae6 | 9,330 | py | Python | parser/fase2/team19/Analisis_Ascendente/Instrucciones/PLPGSQL/Ifpl.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 35 | 2020-12-07T03:11:43.000Z | 2021-04-15T17:38:16.000Z | parser/fase2/team19/Analisis_Ascendente/Instrucciones/PLPGSQL/Ifpl.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 47 | 2020-12-09T01:29:09.000Z | 2021-01-13T05:37:50.000Z | parser/fase2/team19/Analisis_Ascendente/Instrucciones/PLPGSQL/Ifpl.py | Josue-Zea/tytus | f9e4be9a8c03eb698fade7a748972e4f52d46685 | [
"MIT"
] | 556 | 2020-12-07T03:13:31.000Z | 2021-06-17T17:41:10.000Z | import Analisis_Ascendente.Instrucciones.PLPGSQL.EjecutarFuncion as EjecutarFuncion
from Analisis_Ascendente.Instrucciones.PLPGSQL.plasignacion import Plasignacion
from Analisis_Ascendente.Instrucciones.instruccion import Instruccion
from Analisis_Ascendente.Instrucciones.Create.createTable import CreateTable
from ... | 47.121212 | 111 | 0.653805 | 977 | 9,330 | 6.116684 | 0.138178 | 0.048193 | 0.10174 | 0.152276 | 0.479418 | 0.309739 | 0.271921 | 0.24247 | 0.11178 | 0.077644 | 0 | 0.006305 | 0.251983 | 9,330 | 197 | 112 | 47.360406 | 0.849979 | 0.028296 | 0 | 0.148571 | 0 | 0 | 0.040158 | 0.005656 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0.005714 | 0.188571 | 0 | 0.24 | 0.005714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43e232a6058aefed0715e6e5fea4ed4fd550c388 | 6,067 | py | Python | pyhwpscan/hwp_scan.py | orca-eaa5a/dokkaebi_scanner | 756314376e2cbbce6c03fd908ebd0b8cc27aa7fc | [
"MIT"
] | null | null | null | pyhwpscan/hwp_scan.py | orca-eaa5a/dokkaebi_scanner | 756314376e2cbbce6c03fd908ebd0b8cc27aa7fc | [
"MIT"
] | 1 | 2022-02-17T15:01:29.000Z | 2022-02-20T07:15:31.000Z | pyhwpscan/hwp_scan.py | orca-eaa5a/dokkaebi_scanner | 756314376e2cbbce6c03fd908ebd0b8cc27aa7fc | [
"MIT"
] | null | null | null | from threading import current_thread
from jsbeautifier.javascript.beautifier import remove_redundant_indentation
from pyparser.oleparser import OleParser
from pyparser.hwp_parser import HwpParser
from scan.init_scan import init_hwp5_scan
from scan.bindata_scanner import BinData_Scanner
from scan.jscript_scanner import... | 29.309179 | 102 | 0.543926 | 696 | 6,067 | 4.512931 | 0.201149 | 0.031519 | 0.037249 | 0.017829 | 0.247692 | 0.215855 | 0.187838 | 0.187838 | 0.187838 | 0.187838 | 0 | 0.007782 | 0.364595 | 6,067 | 207 | 103 | 29.309179 | 0.807004 | 0.000659 | 0 | 0.246988 | 0 | 0 | 0.077004 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036145 | false | 0.012048 | 0.084337 | 0 | 0.192771 | 0.114458 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43e2e7854a4f56963d0c0900b0d6355f030a3675 | 339 | py | Python | commands/source.py | Open-Source-eUdeC/UdeCursos-bot | f900073044e1c74532af532618672501c0a43a13 | [
"MIT"
] | 3 | 2022-03-01T17:14:06.000Z | 2022-03-15T21:15:44.000Z | commands/source.py | Open-Source-eUdeC/UdeCursos-bot | f900073044e1c74532af532618672501c0a43a13 | [
"MIT"
] | 1 | 2022-03-07T20:59:20.000Z | 2022-03-07T20:59:20.000Z | commands/source.py | Open-Source-eUdeC/UdeCursos-bot | f900073044e1c74532af532618672501c0a43a13 | [
"MIT"
] | 2 | 2022-02-28T19:32:54.000Z | 2022-03-12T20:19:39.000Z | async def source(update, context):
source_code = "https://github.com/Open-Source-eUdeC/UdeCursos-bot"
await context.bot.send_message(
chat_id=update.effective_chat.id,
text=(
"*UdeCursos bot v2.0*\n\n"
f"Código fuente: [GitHub]({source_code})"
),
parse_mod... | 30.818182 | 70 | 0.60177 | 42 | 339 | 4.714286 | 0.690476 | 0.10101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007968 | 0.259587 | 339 | 10 | 71 | 33.9 | 0.780876 | 0 | 0 | 0 | 0 | 0 | 0.353982 | 0.067847 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
43e3929f6d656cd5f3e6cf6054493ace5b92bd70 | 1,255 | py | Python | history/tests.py | MPIB/Lagerregal | 3c950dffcf4fa164008c5a304c4839bc282a3388 | [
"BSD-3-Clause"
] | 24 | 2017-03-19T16:17:37.000Z | 2021-11-07T15:35:33.000Z | history/tests.py | MPIB/Lagerregal | 3c950dffcf4fa164008c5a304c4839bc282a3388 | [
"BSD-3-Clause"
] | 117 | 2016-04-19T12:35:10.000Z | 2022-02-22T13:19:05.000Z | history/tests.py | MPIB/Lagerregal | 3c950dffcf4fa164008c5a304c4839bc282a3388 | [
"BSD-3-Clause"
] | 11 | 2017-08-08T12:11:39.000Z | 2021-12-08T05:34:06.000Z | from django.contrib.contenttypes.models import ContentType
from django.test import TestCase
from django.test.client import Client
from model_mommy import mommy
from devices.models import Device
from users.models import Lageruser
class HistoryTests(TestCase):
def setUp(self):
self.client = Client()
... | 34.861111 | 88 | 0.67251 | 155 | 1,255 | 5.354839 | 0.341935 | 0.072289 | 0.086747 | 0.139759 | 0.36506 | 0.285542 | 0.19759 | 0.103614 | 0 | 0 | 0 | 0.012948 | 0.2 | 1,255 | 35 | 89 | 35.857143 | 0.813745 | 0 | 0 | 0.178571 | 0 | 0 | 0.093227 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0.035714 | 0.214286 | 0 | 0.392857 | 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 |
78db3efa5c77dd290cf1467f8ac973b8fc19949b | 13,168 | py | Python | watcher_metering/tests/agent/test_agent.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 2 | 2015-10-22T19:44:57.000Z | 2017-06-15T15:01:07.000Z | watcher_metering/tests/agent/test_agent.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 1 | 2015-10-26T13:52:58.000Z | 2015-10-26T13:52:58.000Z | watcher_metering/tests/agent/test_agent.py | b-com/watcher-metering | 7c09b243347146e5a421700d5b07d1d0a5c4d604 | [
"Apache-2.0"
] | 4 | 2015-10-10T13:59:39.000Z | 2020-05-29T11:47:07.000Z | # -*- encoding: utf-8 -*-
# Copyright (c) 2015 b<>com
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 40.024316 | 79 | 0.659478 | 1,546 | 13,168 | 5.329884 | 0.192756 | 0.052427 | 0.020631 | 0.024272 | 0.471238 | 0.450364 | 0.403884 | 0.365413 | 0.330461 | 0.309223 | 0 | 0.007855 | 0.255544 | 13,168 | 328 | 80 | 40.146341 | 0.832704 | 0.128645 | 0 | 0.359504 | 0 | 0 | 0.121215 | 0.080606 | 0 | 0 | 0 | 0 | 0.169421 | 1 | 0.061983 | false | 0 | 0.082645 | 0.008264 | 0.161157 | 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 |
78dce9aa3f78b6fd58cffc69a08166742b99da9b | 31,044 | py | Python | mmtbx/bulk_solvent/mosaic.py | ndevenish/cctbx_project | 1f1a2627ae20d01d403f367948e7269cef0f0217 | [
"BSD-3-Clause-LBNL"
] | null | null | null | mmtbx/bulk_solvent/mosaic.py | ndevenish/cctbx_project | 1f1a2627ae20d01d403f367948e7269cef0f0217 | [
"BSD-3-Clause-LBNL"
] | null | null | null | mmtbx/bulk_solvent/mosaic.py | ndevenish/cctbx_project | 1f1a2627ae20d01d403f367948e7269cef0f0217 | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import absolute_import, division, print_function
from cctbx.array_family import flex
from scitbx import matrix
import math
from libtbx import adopt_init_args
import scitbx.lbfgs
from mmtbx.bulk_solvent import kbu_refinery
from cctbx import maptbx
import mmtbx.masks
import boost_adaptbx.boost.python as b... | 36.266355 | 107 | 0.60862 | 4,735 | 31,044 | 3.726716 | 0.099683 | 0.020118 | 0.009521 | 0.00714 | 0.469738 | 0.3938 | 0.346537 | 0.311119 | 0.27077 | 0.257792 | 0 | 0.017564 | 0.251739 | 31,044 | 855 | 108 | 36.308772 | 0.74209 | 0.161996 | 0 | 0.261755 | 0 | 0 | 0.01066 | 0.00093 | 0 | 0 | 0 | 0 | 0.010972 | 1 | 0.043887 | false | 0 | 0.03605 | 0.007837 | 0.111285 | 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 |
78de98de938be5cc3ac224e5095778425f0adabc | 14,828 | py | Python | members_abundances_in_out_uncertainties.py | kcotar/Gaia_clusters_potential | aee2658c40446891d31528f8dec3cec899b63c68 | [
"MIT"
] | null | null | null | members_abundances_in_out_uncertainties.py | kcotar/Gaia_clusters_potential | aee2658c40446891d31528f8dec3cec899b63c68 | [
"MIT"
] | null | null | null | members_abundances_in_out_uncertainties.py | kcotar/Gaia_clusters_potential | aee2658c40446891d31528f8dec3cec899b63c68 | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
from glob import glob
from astropy.table import Table, join
from os import chdir, system
from scipy.stats import norm as gauss_norm
from sys import argv
from getopt import getopt
# turn off polyfit ranking warnings
import warnin... | 43.740413 | 215 | 0.55874 | 2,191 | 14,828 | 3.502054 | 0.160201 | 0.070377 | 0.028151 | 0.011729 | 0.486641 | 0.447934 | 0.397889 | 0.372214 | 0.343151 | 0.324645 | 0 | 0.030922 | 0.293364 | 14,828 | 338 | 216 | 43.869822 | 0.701374 | 0.069059 | 0 | 0.279528 | 0 | 0 | 0.092328 | 0.022792 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019685 | false | 0.003937 | 0.03937 | 0 | 0.082677 | 0.035433 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78e3235c058d0f0d01fe78bcda45b0e5210cc956 | 3,798 | py | Python | modules/pygsm/devicewrapper.py | whanderley/eden | 08ced3be3d52352c54cbd412ed86128fbb68b1d2 | [
"MIT"
] | 205 | 2015-01-20T08:26:09.000Z | 2022-03-27T19:59:33.000Z | modules/pygsm/devicewrapper.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | 249 | 2015-02-10T09:56:35.000Z | 2022-03-23T19:54:36.000Z | modules/pygsm/devicewrapper.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | 231 | 2015-02-10T09:33:17.000Z | 2022-02-18T19:56:05.000Z | #!/usr/bin/env python
# vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
# arch: pacman -S python-pyserial
# debian/ubuntu: apt-get install python-serial
import serial
import re
import errors
class DeviceWrapper(object):
def __init__(self, logger, *args, **kwargs):
self.device = serial.Serial(*args, **kwarg... | 35.166667 | 84 | 0.561611 | 472 | 3,798 | 4.419492 | 0.402542 | 0.034516 | 0.012943 | 0.01534 | 0.073826 | 0.073826 | 0.052733 | 0.052733 | 0.052733 | 0.052733 | 0 | 0.002014 | 0.346235 | 3,798 | 108 | 85 | 35.166667 | 0.838099 | 0.386256 | 0 | 0.185185 | 0 | 0 | 0.022636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148148 | false | 0 | 0.055556 | 0.018519 | 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 |
78e6e9a7d73aab5ad3ba5822b10f0996d16afd5b | 1,762 | py | Python | examples/sim_tfidf.py | sunyilgdx/CwVW-SIF | 85ef56d80512e2f6bff1266e030552075566b240 | [
"MIT"
] | 12 | 2019-05-14T10:31:53.000Z | 2022-01-20T17:16:59.000Z | examples/sim_tfidf.py | sunyilgdx/CwVW-SIF | 85ef56d80512e2f6bff1266e030552075566b240 | [
"MIT"
] | null | null | null | examples/sim_tfidf.py | sunyilgdx/CwVW-SIF | 85ef56d80512e2f6bff1266e030552075566b240 | [
"MIT"
] | 1 | 2020-12-21T09:16:51.000Z | 2020-12-21T09:16:51.000Z | import pickle, sys
sys.path.append('../src')
import data_io, sim_algo, eval, params
## run
# wordfiles = [#'../data/paragram_sl999_small.txt', # need to download it from John Wieting's github (https://github.com/jwieting/iclr2016)
# '../data/glove.840B.300d.txt' # need to download it first
# ]
wordfiles = [#... | 39.155556 | 139 | 0.685585 | 236 | 1,762 | 5.012712 | 0.427966 | 0.030431 | 0.030431 | 0.057481 | 0.380389 | 0.316145 | 0.275571 | 0.275571 | 0.275571 | 0.275571 | 0 | 0.028189 | 0.194665 | 1,762 | 44 | 140 | 40.045455 | 0.805497 | 0.377412 | 0 | 0 | 0 | 0 | 0.186803 | 0.04368 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.064516 | 0 | 0.064516 | 0.096774 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78e74ab110d94c6516104012ed887badd152a66c | 1,602 | py | Python | theano-rfnn/mnist_loader.py | jhja/RFNN | a63641d6e584df743a5e0a9efaf41911f057a977 | [
"MIT"
] | 55 | 2016-05-11T18:53:30.000Z | 2022-02-22T12:31:08.000Z | theano-rfnn/mnist_loader.py | jhja/RFNN | a63641d6e584df743a5e0a9efaf41911f057a977 | [
"MIT"
] | null | null | null | theano-rfnn/mnist_loader.py | jhja/RFNN | a63641d6e584df743a5e0a9efaf41911f057a977 | [
"MIT"
] | 14 | 2016-08-16T02:00:47.000Z | 2022-03-08T13:16:00.000Z | import numpy as np
import os
from random import shuffle
datasets_dir = './../data/'
def one_hot(x,n):
if type(x) == list:
x = np.array(x)
x = x.flatten()
o_h = np.zeros((len(x),n))
o_h[np.arange(len(x)),x] = 1
return o_h
def mnist(ntrain=60000,ntest=10000,onehot=True):
ntrain=np.array(ntrain).astype(int).s... | 26.262295 | 63 | 0.624844 | 255 | 1,602 | 3.839216 | 0.290196 | 0.035751 | 0.051073 | 0.04903 | 0.343207 | 0.343207 | 0.343207 | 0.343207 | 0.277835 | 0.277835 | 0 | 0.052467 | 0.202871 | 1,602 | 60 | 64 | 26.7 | 0.714174 | 0 | 0 | 0.083333 | 0 | 0 | 0.066167 | 0.05618 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.0625 | 0 | 0.145833 | 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 |
78e7d5ba18b9d335d132f7d6ec0d73b6ca3d020d | 686 | py | Python | Ejercicio 2.py | crltsnch/Ejercicios-grupales | 72e01d6489816ea1b9308af1abd62792e5464c93 | [
"Apache-2.0"
] | null | null | null | Ejercicio 2.py | crltsnch/Ejercicios-grupales | 72e01d6489816ea1b9308af1abd62792e5464c93 | [
"Apache-2.0"
] | null | null | null | Ejercicio 2.py | crltsnch/Ejercicios-grupales | 72e01d6489816ea1b9308af1abd62792e5464c93 | [
"Apache-2.0"
] | null | null | null | import math
import os
import random
import re
import sys
def compareTriplets(a, b):
puntosA=0
puntosB=0
for i in range (0,3):
if a[i]<b[i]:
puntosB+=1
elif a[i]>b[i]:
puntosA+=1
puntosTotales=[puntosA, puntosB]
return puntosTotales
if __name__ == '__mai... | 21.4375 | 65 | 0.580175 | 96 | 686 | 4.052083 | 0.520833 | 0.082262 | 0.087404 | 0.020566 | 0.246787 | 0.133676 | 0 | 0 | 0 | 0 | 0 | 0.01378 | 0.259475 | 686 | 32 | 66 | 21.4375 | 0.751969 | 0 | 0 | 0 | 0 | 0 | 0.116448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.2 | 0 | 0.28 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78f03cf1af94e18c9a855dfd8bbdda1565566674 | 17,569 | py | Python | autokeras/hypermodel/graph.py | Sette/autokeras | c5a83607a899ad545916b3794561d6908d9cdbac | [
"MIT"
] | null | null | null | autokeras/hypermodel/graph.py | Sette/autokeras | c5a83607a899ad545916b3794561d6908d9cdbac | [
"MIT"
] | null | null | null | autokeras/hypermodel/graph.py | Sette/autokeras | c5a83607a899ad545916b3794561d6908d9cdbac | [
"MIT"
] | null | null | null | import functools
import pickle
import kerastuner
import tensorflow as tf
from tensorflow.python.util import nest
from autokeras.hypermodel import base
from autokeras.hypermodel import compiler
class Graph(kerastuner.engine.stateful.Stateful):
"""A graph consists of connected Blocks, HyperBlocks, Preprocessors o... | 37.620985 | 85 | 0.594001 | 2,178 | 17,569 | 4.557851 | 0.12213 | 0.049864 | 0.025184 | 0.030221 | 0.348242 | 0.26715 | 0.199557 | 0.154931 | 0.117155 | 0.077667 | 0 | 0.000763 | 0.32859 | 17,569 | 466 | 86 | 37.701717 | 0.840793 | 0.194263 | 0 | 0.224359 | 0 | 0 | 0.013887 | 0 | 0 | 0 | 0 | 0.002146 | 0 | 1 | 0.099359 | false | 0 | 0.022436 | 0.00641 | 0.195513 | 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 |
78f06ac9567797f0104f062bd9b9ac12e57cffa6 | 474 | py | Python | Python/longest-valid-parentheses.py | shreyventure/LeetCode-Solutions | 74423d65702b78974e390f17c9d6365d17e6eed5 | [
"MIT"
] | 388 | 2020-06-29T08:41:27.000Z | 2022-03-31T22:55:05.000Z | Python/longest-valid-parentheses.py | shreyventure/LeetCode-Solutions | 74423d65702b78974e390f17c9d6365d17e6eed5 | [
"MIT"
] | 178 | 2020-07-16T17:15:28.000Z | 2022-03-09T21:01:50.000Z | Python/longest-valid-parentheses.py | shreyventure/LeetCode-Solutions | 74423d65702b78974e390f17c9d6365d17e6eed5 | [
"MIT"
] | 263 | 2020-07-13T18:33:20.000Z | 2022-03-28T13:54:10.000Z | '''
Speed: 95.97%
Memory: 24.96%
Time complexity: O(n)
Space complexity: O(n)
'''
class Solution(object):
def longestValidParentheses(self, s):
ans=0
stack=[-1]
for i in range(len(s)):
if(s[i]=='('):
stack.append(i)
else:
stack.pop()
... | 23.7 | 44 | 0.436709 | 56 | 474 | 3.696429 | 0.589286 | 0.10628 | 0.115942 | 0.154589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043165 | 0.413502 | 474 | 20 | 45 | 23.7 | 0.701439 | 0.154008 | 0 | 0.285714 | 0 | 0 | 0.002538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.214286 | 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 |
78f17ff49e114c184b6a1474d4e3188bcdc4d56c | 447 | py | Python | setup.py | i25ffz/openaes | a0dbde40d4ce0e4186ea14c4dc9519fe152c018c | [
"BSD-2-Clause"
] | null | null | null | setup.py | i25ffz/openaes | a0dbde40d4ce0e4186ea14c4dc9519fe152c018c | [
"BSD-2-Clause"
] | null | null | null | setup.py | i25ffz/openaes | a0dbde40d4ce0e4186ea14c4dc9519fe152c018c | [
"BSD-2-Clause"
] | null | null | null | from distutils.core import setup, Extension
import os.path
kw = {
'name':"PyOpenAES",
'version':"0.10.0",
'description':"OpenAES cryptographic library for Python.",
'ext_modules':[
Extension(
'openaes',
include_dirs = ['inc', 'src/isaac'],
# define_macros=[('ENABLE_PYTHON', '1')],
sources = [
os.... | 20.318182 | 59 | 0.624161 | 60 | 447 | 4.55 | 0.633333 | 0.087912 | 0.10989 | 0.142857 | 0.179487 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013441 | 0.167785 | 447 | 22 | 60 | 20.318182 | 0.72043 | 0.087248 | 0 | 0 | 0 | 0 | 0.371007 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.105263 | 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 |
78f2293017d6edca3048eb7b10371f7d73e4c830 | 967 | py | Python | examples/isosurface_demo2.py | jayvdb/scitools | 8df53a3a3bc95377f9fa85c04f3a329a0ec33e67 | [
"BSD-3-Clause"
] | 62 | 2015-03-28T18:07:51.000Z | 2022-02-12T20:32:36.000Z | examples/isosurface_demo2.py | jayvdb/scitools | 8df53a3a3bc95377f9fa85c04f3a329a0ec33e67 | [
"BSD-3-Clause"
] | 7 | 2015-06-09T09:56:03.000Z | 2021-05-20T17:53:15.000Z | examples/isosurface_demo2.py | jayvdb/scitools | 8df53a3a3bc95377f9fa85c04f3a329a0ec33e67 | [
"BSD-3-Clause"
] | 29 | 2015-04-16T03:48:57.000Z | 2022-02-03T22:06:52.000Z | #!/usr/bin/env python
# Example taken from:
# http://www.mathworks.com/access/helpdesk/help/techdoc/visualize/f5-3371.html
from scitools.easyviz import *
from time import sleep
from scipy import io
setp(interactive=False)
# Displaying an Isosurface:
mri = io.loadmat('mri_matlab_v6.mat')
D = mri['D']
#Ds = smooth3(D... | 20.574468 | 78 | 0.701138 | 138 | 967 | 4.876812 | 0.717391 | 0.005944 | 0.056464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036782 | 0.10031 | 967 | 46 | 79 | 21.021739 | 0.736782 | 0.644261 | 0 | 0 | 0 | 0 | 0.177019 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 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 |
78f2658f7e058410b484a9d45fd69949bca2813c | 4,099 | py | Python | structural_model/util_morphology.py | zibneuro/udvary-et-al-2022 | 8b456c41e72958677cb6035028d9c23013cb7c7e | [
"MIT"
] | 1 | 2022-03-11T13:43:50.000Z | 2022-03-11T13:43:50.000Z | structural_model/util_morphology.py | zibneuro/udvary-et-al-2022 | 8b456c41e72958677cb6035028d9c23013cb7c7e | [
"MIT"
] | null | null | null | structural_model/util_morphology.py | zibneuro/udvary-et-al-2022 | 8b456c41e72958677cb6035028d9c23013cb7c7e | [
"MIT"
] | null | null | null | import os
import numpy as np
import json
import util_amira
def getEdgeLabelName(label):
if(label == 6):
return "axon"
elif(label == 4):
return "apical"
elif(label == 5):
return "basal"
elif(label == 7):
return "soma"
else:
return "other"
def getSomaPositio... | 32.275591 | 138 | 0.613808 | 424 | 4,099 | 5.867925 | 0.257075 | 0.040193 | 0.060289 | 0.043408 | 0.35209 | 0.343248 | 0.27492 | 0.250804 | 0.250804 | 0.156752 | 0 | 0.003871 | 0.243718 | 4,099 | 127 | 139 | 32.275591 | 0.79871 | 0 | 0 | 0.156863 | 0 | 0 | 0.12878 | 0.012195 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.039216 | 0 | 0.245098 | 0.009804 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78f3cd314838c8b00373f5ff15a91db4a0e4e749 | 1,427 | py | Python | scripts/Interfacing/encoder_class.py | noshluk2/Wifi-Signal-Robot-localization | 538e6c4e7a63486f22ab708908c476cd808f720c | [
"MIT"
] | null | null | null | scripts/Interfacing/encoder_class.py | noshluk2/Wifi-Signal-Robot-localization | 538e6c4e7a63486f22ab708908c476cd808f720c | [
"MIT"
] | null | null | null | scripts/Interfacing/encoder_class.py | noshluk2/Wifi-Signal-Robot-localization | 538e6c4e7a63486f22ab708908c476cd808f720c | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import threading
class Encoder(object):
def __init__(self, r_en_a,r_en_b,l_en_a,l_en_b):
GPIO.setmode(GPIO.BCM)
GPIO.setup(r_en_a, GPIO.IN)
GPIO.setup(r_en_b, GPIO.IN)
GPIO.setup(l_en_a, GPIO.IN)
GPIO.setup(l_en_b, GPIO.IN)
self.l_en_a=l_en_a;... | 26.425926 | 75 | 0.618781 | 255 | 1,427 | 3.117647 | 0.192157 | 0.169811 | 0.100629 | 0.030189 | 0.548428 | 0.396226 | 0.233962 | 0.055346 | 0 | 0 | 0 | 0.019981 | 0.26349 | 1,427 | 54 | 76 | 26.425926 | 0.736441 | 0.130343 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.060606 | 0.060606 | 0.363636 | 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 |
78f527fe8104b4c467eef06ba01999f8a1c7339e | 2,286 | py | Python | systori/apps/equipment/urls.py | systori/systori | e309c63e735079ff6032fdaf1db354ec872b28b1 | [
"BSD-3-Clause"
] | 12 | 2018-01-30T00:44:06.000Z | 2020-07-13T05:20:48.000Z | systori/apps/equipment/urls.py | systori/systori | e309c63e735079ff6032fdaf1db354ec872b28b1 | [
"BSD-3-Clause"
] | 36 | 2018-03-06T17:49:50.000Z | 2020-06-23T19:26:00.000Z | systori/apps/equipment/urls.py | systori/systori | e309c63e735079ff6032fdaf1db354ec872b28b1 | [
"BSD-3-Clause"
] | 3 | 2018-08-03T07:03:09.000Z | 2020-07-09T20:21:10.000Z | from django.conf.urls import url
from django.urls import path, include
from systori.apps.user.authorization import office_auth
from systori.apps.equipment.views import EquipmentListView, EquipmentView, EquipmentCreate, EquipmentDelete, EquipmentUpdate, RefuelingStopCreate, RefuelingStopDelete, RefuelingStopUpdate, Mai... | 33.130435 | 244 | 0.624672 | 248 | 2,286 | 5.620968 | 0.21371 | 0.093257 | 0.086083 | 0.10043 | 0.408895 | 0.355093 | 0.271162 | 0.271162 | 0.212339 | 0.212339 | 0 | 0 | 0.208224 | 2,286 | 68 | 245 | 33.617647 | 0.770166 | 0.024497 | 0 | 0.375 | 0 | 0.015625 | 0.313734 | 0.236535 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78f57ad1256f2c324b8101344d3e6ef85566b84c | 632 | py | Python | 40_3.py | rursvd/pynumerical2 | 4b2d33125b64a39099ac8eddef885e0ea11b237d | [
"MIT"
] | null | null | null | 40_3.py | rursvd/pynumerical2 | 4b2d33125b64a39099ac8eddef885e0ea11b237d | [
"MIT"
] | null | null | null | 40_3.py | rursvd/pynumerical2 | 4b2d33125b64a39099ac8eddef885e0ea11b237d | [
"MIT"
] | 1 | 2019-12-03T01:34:19.000Z | 2019-12-03T01:34:19.000Z | from numpy import zeros
# Define ab2 function
def ab2(f,t0,tf,y0,n):
h = (tf - t0)/n
t = zeros(n+1)
y = zeros(n+1)
t[0] = t0
y[0] = y0
y[1] = y[0] + h * f(t[0],y[0])
t[1] = t[0] + h
for i in range(1,n):
y[i+1] = y[i] + (3.0/2.0) * h * f(t[i],y[i])-1.0/2.0 * h * f(t[i-1]... | 18.588235 | 83 | 0.463608 | 144 | 632 | 2.034722 | 0.263889 | 0.03413 | 0.030717 | 0.040956 | 0.122867 | 0.122867 | 0.047782 | 0 | 0 | 0 | 0 | 0.116592 | 0.294304 | 632 | 33 | 84 | 19.151515 | 0.540359 | 0.136076 | 0 | 0 | 0 | 0 | 0.037037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.043478 | 0.043478 | 0.217391 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78f5d63c04bc9e40555fc089be45ac3e10cbd62a | 40,331 | py | Python | test/test_parse_cs.py | NeonDaniel/lingua-franca | eee95702016b4013b0d81dc74da98cd2d2f53358 | [
"Apache-2.0"
] | null | null | null | test/test_parse_cs.py | NeonDaniel/lingua-franca | eee95702016b4013b0d81dc74da98cd2d2f53358 | [
"Apache-2.0"
] | null | null | null | test/test_parse_cs.py | NeonDaniel/lingua-franca | eee95702016b4013b0d81dc74da98cd2d2f53358 | [
"Apache-2.0"
] | 1 | 2020-09-22T12:39:17.000Z | 2020-09-22T12:39:17.000Z | #
# Copyright 2017 Mycroft AI Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 54.208333 | 114 | 0.564851 | 5,157 | 40,331 | 4.375218 | 0.110529 | 0.033861 | 0.117006 | 0.089704 | 0.702522 | 0.618535 | 0.551256 | 0.475646 | 0.384701 | 0.353233 | 0 | 0.119882 | 0.321192 | 40,331 | 743 | 115 | 54.281292 | 0.704277 | 0.084203 | 0 | 0.207516 | 0 | 0 | 0.38263 | 0 | 0 | 0 | 0 | 0.001346 | 0.240196 | 1 | 0.026144 | false | 0 | 0.01634 | 0 | 0.04902 | 0.004902 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78fa9f898e64c035eed240732e89631cf36a87b3 | 18,049 | py | Python | exhale/deploy.py | florianhumblot/exhale | d6fa84fa32ee079c6b70898a1b0863a38e703591 | [
"BSD-3-Clause"
] | null | null | null | exhale/deploy.py | florianhumblot/exhale | d6fa84fa32ee079c6b70898a1b0863a38e703591 | [
"BSD-3-Clause"
] | null | null | null | exhale/deploy.py | florianhumblot/exhale | d6fa84fa32ee079c6b70898a1b0863a38e703591 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf8 -*-
########################################################################################
# This file is part of exhale. Copyright (c) 2017-2022, Stephen McDowell. #
# Full BSD 3-Clause license available here: #
# ... | 42.468235 | 106 | 0.588066 | 2,054 | 18,049 | 5.07741 | 0.275073 | 0.014958 | 0.005753 | 0.012273 | 0.143159 | 0.092147 | 0.076422 | 0.066641 | 0.054847 | 0.049477 | 0 | 0.00512 | 0.307441 | 18,049 | 424 | 107 | 42.568396 | 0.8292 | 0.364231 | 0 | 0.190698 | 0 | 0 | 0.389342 | 0.019926 | 0 | 0 | 0 | 0.002358 | 0 | 1 | 0.018605 | false | 0 | 0.060465 | 0 | 0.134884 | 0.004651 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78fb0646e467b92a38f001788a56ced3c1f8a48d | 3,816 | py | Python | src/bayesian_reliability_comparison.py | rloganiv/bayesian-blackbox | 6a111553200b6aa755149e08174abe1a61d37198 | [
"MIT"
] | 8 | 2019-12-23T13:27:15.000Z | 2021-12-01T13:33:34.000Z | src/bayesian_reliability_comparison.py | rloganiv/bayesian-blackbox | 6a111553200b6aa755149e08174abe1a61d37198 | [
"MIT"
] | 11 | 2020-03-31T11:06:55.000Z | 2022-02-10T00:39:33.000Z | src/bayesian_reliability_comparison.py | disiji/bayesian-blackbox | 6a111553200b6aa755149e08174abe1a61d37198 | [
"MIT"
] | 2 | 2020-01-24T10:21:57.000Z | 2020-02-22T04:41:14.000Z | import argparse
import multiprocessing
import os
import random
import numpy as np
from data_utils import DATAFILE_LIST, DATASET_LIST, prepare_data, RESULTS_DIR
from models import SumOfBetaEce
random.seed(2020)
num_cores = multiprocessing.cpu_count()
NUM_BINS = 10
NUM_RUNS = 100
N_list = [100, 200, 500, 1000, 2000, 5... | 41.032258 | 120 | 0.70152 | 509 | 3,816 | 5.003929 | 0.275049 | 0.060463 | 0.040047 | 0.02552 | 0.292108 | 0.262269 | 0.262269 | 0.24735 | 0.225363 | 0.225363 | 0 | 0.017487 | 0.190776 | 3,816 | 92 | 121 | 41.478261 | 0.807319 | 0.010482 | 0 | 0.058824 | 0 | 0 | 0.184469 | 0.071031 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.102941 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
78fbbb7e97d40f03f6fe9dcf3d1d397ff5d9dbb9 | 29,044 | py | Python | psyneulink/core/components/functions/statefulfunctions/statefulfunction.py | SamKG/PsyNeuLink | 70558bcd870868e1688cb7a7c424d29ca336f2df | [
"Apache-2.0"
] | null | null | null | psyneulink/core/components/functions/statefulfunctions/statefulfunction.py | SamKG/PsyNeuLink | 70558bcd870868e1688cb7a7c424d29ca336f2df | [
"Apache-2.0"
] | 77 | 2020-10-01T06:27:19.000Z | 2022-03-31T02:03:33.000Z | psyneulink/core/components/functions/statefulfunctions/statefulfunction.py | SamKG/PsyNeuLink | 70558bcd870868e1688cb7a7c424d29ca336f2df | [
"Apache-2.0"
] | null | null | null | #
# Princeton University licenses this file to You 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 writ... | 48.895623 | 168 | 0.596302 | 3,226 | 29,044 | 5.263174 | 0.149411 | 0.009423 | 0.024736 | 0.020025 | 0.301313 | 0.229519 | 0.192532 | 0.174627 | 0.156546 | 0.131162 | 0 | 0.004486 | 0.324542 | 29,044 | 593 | 169 | 48.978078 | 0.860995 | 0.398189 | 0 | 0.249158 | 0 | 0.003367 | 0.101476 | 0.004959 | 0 | 0 | 0 | 0.001686 | 0.006734 | 1 | 0.047138 | false | 0.013468 | 0.047138 | 0 | 0.124579 | 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 |
78fe8574d8b2d8646e13f689bf2f902a5d2ca204 | 2,637 | py | Python | shdw/tools/welford.py | wbrandenburger/ShadowDetection | 2a58df93e32e8baf99806555655a7daf7e68735a | [
"MIT"
] | 2 | 2020-09-06T16:45:37.000Z | 2021-04-25T15:16:20.000Z | dl_multi/utils/welford.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | null | null | null | dl_multi/utils/welford.py | wbrandenburger/MTPIA | 02c773ce60b7efd5b15f270f047a6da5a8f00b7e | [
"MIT"
] | 1 | 2020-04-30T03:08:56.000Z | 2020-04-30T03:08:56.000Z | import math
import numpy as np
# plt.style.use('seaborn')
# plt.rcParams['figure.figsize'] = (12, 8)
def welford(x_array):
k = 0
M = 0
S = 0
for x in x_array:
k += 1
Mnext = M + (x - M) / k
S = S + (x - M)*(x - Mnext)
M = Mnext
return (M, S/(k-1))
class Welford(... | 23.972727 | 67 | 0.525597 | 336 | 2,637 | 3.96131 | 0.28869 | 0.054095 | 0.041322 | 0.045079 | 0.066116 | 0.066116 | 0 | 0 | 0 | 0 | 0 | 0.076112 | 0.352294 | 2,637 | 109 | 68 | 24.192661 | 0.703162 | 0.267728 | 0 | 0.215385 | 0 | 0 | 0.018013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.184615 | false | 0 | 0.030769 | 0.076923 | 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 |
78feca6a377149a92c2667955b4f314e64f31df6 | 819 | py | Python | day3/functions.py | lilbond/bitis | 58e5eeebade6cea99fbf86fdf285721fb602e4ef | [
"MIT"
] | null | null | null | day3/functions.py | lilbond/bitis | 58e5eeebade6cea99fbf86fdf285721fb602e4ef | [
"MIT"
] | null | null | null | day3/functions.py | lilbond/bitis | 58e5eeebade6cea99fbf86fdf285721fb602e4ef | [
"MIT"
] | null | null | null |
def greet():
print("Hi")
def greet_again(message):
print(message)
def greet_again_with_type(message):
print(type(message))
print(message)
greet()
greet_again("Hello Again")
greet_again_with_type("One Last Time")
greet_again_with_type(1234)
# multiple types
def multiple_types(x):
if x < 0:
... | 14.625 | 73 | 0.664225 | 120 | 819 | 4.366667 | 0.416667 | 0.09542 | 0.080153 | 0.103053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023112 | 0.20757 | 819 | 56 | 74 | 14.625 | 0.784284 | 0.108669 | 0 | 0.064516 | 0 | 0 | 0.096552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.193548 | false | 0 | 0 | 0 | 0.258065 | 0.258065 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6001e3cd1b64684fad98768a1d1677fc7dbf592e | 1,043 | py | Python | filehandler.py | miciux/telegram-bot-admin | feb267ba6ce715b734b1a5911487c1080410a4a9 | [
"MIT"
] | 1 | 2017-04-30T13:12:32.000Z | 2017-04-30T13:12:32.000Z | filehandler.py | miciux/telegram-bot-admin | feb267ba6ce715b734b1a5911487c1080410a4a9 | [
"MIT"
] | null | null | null | filehandler.py | miciux/telegram-bot-admin | feb267ba6ce715b734b1a5911487c1080410a4a9 | [
"MIT"
] | null | null | null | import logging
import abstracthandler
import os
class FileHandler(abstracthandler.AbstractHandler):
def __init__(self, conf, bot):
abstracthandler.AbstractHandler.__init__(self, 'file', conf, bot)
self.log = logging.getLogger(__name__)
self.commands={}
self.commands['list'] = self.... | 32.59375 | 92 | 0.637584 | 127 | 1,043 | 4.976378 | 0.393701 | 0.050633 | 0.080696 | 0.113924 | 0.150316 | 0.107595 | 0.107595 | 0 | 0 | 0 | 0 | 0.001274 | 0.247363 | 1,043 | 31 | 93 | 33.645161 | 0.803822 | 0 | 0 | 0 | 0 | 0 | 0.081574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.12 | 0 | 0.36 | 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 |
6001f3dc9b3e815ad90ab2f8d8d4027fbf828f6c | 6,276 | py | Python | tensorflow_federated/python/learning/federated_evaluation.py | Tensorflow-Devs/federated | 5df96d42d72fa43a050df6465271a38175a5fd7a | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/learning/federated_evaluation.py | Tensorflow-Devs/federated | 5df96d42d72fa43a050df6465271a38175a5fd7a | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/learning/federated_evaluation.py | Tensorflow-Devs/federated | 5df96d42d72fa43a050df6465271a38175a5fd7a | [
"Apache-2.0"
] | null | null | null | # Copyright 2019, The TensorFlow Federated 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
#
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