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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
22f9996e35b6cbbaeea6e8c3929b7498dd603017 | 4,471 | py | Python | ppq/utils/round.py | xiguadong/ppq | 6c71adb3c2a8ca95967f101724b5e4b3e6f761ff | [
"Apache-2.0"
] | null | null | null | ppq/utils/round.py | xiguadong/ppq | 6c71adb3c2a8ca95967f101724b5e4b3e6f761ff | [
"Apache-2.0"
] | null | null | null | ppq/utils/round.py | xiguadong/ppq | 6c71adb3c2a8ca95967f101724b5e4b3e6f761ff | [
"Apache-2.0"
] | null | null | null | from decimal import ROUND_HALF_DOWN, ROUND_HALF_EVEN, ROUND_HALF_UP, Decimal
from math import ceil, floor, log2
from typing import Union
import torch
from ppq.core import RoundingPolicy
def ppq_numerical_round(value: float,
policy: RoundingPolicy=RoundingPolicy.ROUND_HALF_EVEN) -> int:
"""
reference... | 45.622449 | 138 | 0.698054 | 577 | 4,471 | 5.246101 | 0.188908 | 0.083251 | 0.121573 | 0.114965 | 0.588702 | 0.543773 | 0.429468 | 0.373637 | 0.305253 | 0.185993 | 0 | 0.011841 | 0.206665 | 4,471 | 97 | 139 | 46.092784 | 0.841556 | 0.294565 | 0 | 0.339623 | 0 | 0 | 0.098643 | 0 | 0 | 0 | 0 | 0 | 0.056604 | 1 | 0.056604 | false | 0 | 0.09434 | 0 | 0.358491 | 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 |
22f9fe832c0a98e82946d0744a46553bfba443ca | 11,944 | py | Python | python/repair/train.py | maropu/scavenger | 03a935968f4aa507d4d98c8ca528195b770757d9 | [
"Apache-2.0"
] | null | null | null | python/repair/train.py | maropu/scavenger | 03a935968f4aa507d4d98c8ca528195b770757d9 | [
"Apache-2.0"
] | 2 | 2019-12-22T13:29:07.000Z | 2020-01-07T11:55:41.000Z | python/repair/train.py | maropu/scavenger | 03a935968f4aa507d4d98c8ca528195b770757d9 | [
"Apache-2.0"
] | 1 | 2020-10-26T20:07:28.000Z | 2020-10-26T20:07:28.000Z | #!/usr/bin/env python3
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "L... | 40.62585 | 120 | 0.654638 | 1,668 | 11,944 | 4.433453 | 0.231415 | 0.019473 | 0.030291 | 0.029885 | 0.171738 | 0.108316 | 0.08073 | 0.072076 | 0.045166 | 0.036782 | 0 | 0.011068 | 0.228399 | 11,944 | 293 | 121 | 40.764505 | 0.791341 | 0.17289 | 0 | 0.080952 | 0 | 0 | 0.149049 | 0.0234 | 0 | 0 | 0 | 0.003413 | 0 | 1 | 0.052381 | false | 0 | 0.119048 | 0.009524 | 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 |
22fa19437d01af6a56a8a1b30127d97248a1bdcd | 519 | py | Python | howl/roomsensor/urls.py | volzotan/django-howl | 3b11c530da95d152844934da09592619b3d4497f | [
"MIT"
] | null | null | null | howl/roomsensor/urls.py | volzotan/django-howl | 3b11c530da95d152844934da09592619b3d4497f | [
"MIT"
] | null | null | null | howl/roomsensor/urls.py | volzotan/django-howl | 3b11c530da95d152844934da09592619b3d4497f | [
"MIT"
] | null | null | null | from django.conf.urls import patterns, url
from roomsensor import views
urlpatterns = patterns('',
url(r'^$', views.index, name='roomsensor'),
# ex: /roomsensor/name/
url(r'^(?P<roomsensor_name>\w+)/$', views.display, name='roomsensor_display'),
url(r'^(?P<roomsensor_name>\w+)/read/$', views.read, na... | 37.071429 | 138 | 0.672447 | 69 | 519 | 4.956522 | 0.405797 | 0.046784 | 0.04386 | 0.131579 | 0.175439 | 0.175439 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117534 | 519 | 14 | 139 | 37.071429 | 0.746725 | 0.096339 | 0 | 0 | 0 | 0.125 | 0.438972 | 0.304069 | 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 |
22fc97fb3dafaa3d0c68a5549bbe8a39af3d15d4 | 7,031 | py | Python | app.py | kosovojs/wikibooster | 70a9d9d7bf41be9fa5e58d40fba216d9b6df008d | [
"MIT"
] | null | null | null | app.py | kosovojs/wikibooster | 70a9d9d7bf41be9fa5e58d40fba216d9b6df008d | [
"MIT"
] | 17 | 2019-07-08T15:32:18.000Z | 2021-01-03T10:30:55.000Z | app.py | kosovojs/wikibooster | 70a9d9d7bf41be9fa5e58d40fba216d9b6df008d | [
"MIT"
] | 1 | 2019-08-28T21:23:48.000Z | 2019-08-28T21:23:48.000Z | import flask
from flask import Flask
from flask import jsonify
from flask import request
from flask_cors import CORS, cross_origin
from flask import render_template
import mwoauth
import requests_oauthlib
import os
import yaml
import mwapi
from tasks.main import Tasks
from save import Save
from db import DB
from typ... | 29.542017 | 156 | 0.729768 | 911 | 7,031 | 5.493963 | 0.232711 | 0.027173 | 0.028571 | 0.011988 | 0.314685 | 0.281718 | 0.275325 | 0.247752 | 0.214985 | 0.197802 | 0 | 0.001926 | 0.114066 | 7,031 | 238 | 157 | 29.542017 | 0.801573 | 0.039824 | 0 | 0.267045 | 0 | 0 | 0.171191 | 0.018098 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107955 | false | 0 | 0.085227 | 0.005682 | 0.340909 | 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 |
22fcb38b78558c9add6900dca954fd92ecf359b7 | 1,483 | py | Python | pre_embed.py | shelleyyyyu/few_shot | 0fe54444e820fe3201927e6363682913b6d61028 | [
"Apache-2.0"
] | 253 | 2018-08-29T18:59:00.000Z | 2022-03-15T04:53:47.000Z | pre_embed.py | shelleyyyyu/few_shot | 0fe54444e820fe3201927e6363682913b6d61028 | [
"Apache-2.0"
] | 18 | 2018-10-24T09:49:44.000Z | 2022-03-31T14:39:37.000Z | pre_embed.py | shelleyyyyu/few_shot | 0fe54444e820fe3201927e6363682913b6d61028 | [
"Apache-2.0"
] | 38 | 2018-10-17T07:43:25.000Z | 2022-03-05T12:20:33.000Z | import numpy as np
from collections import defaultdict, Counter
import random
import json
from tqdm import tqdm
def transX(dataset):
rel2id = json.load(open(dataset + '/relation2ids'))
ent2id = json.load(open(dataset + '/ent2ids'))
with open('../Fast-TransX/' + dataset + '_base/entity2id.txt', 'w') as... | 32.23913 | 95 | 0.55091 | 202 | 1,483 | 3.915842 | 0.336634 | 0.075853 | 0.045512 | 0.068268 | 0.249052 | 0.158028 | 0.04804 | 0.04804 | 0 | 0 | 0 | 0.03318 | 0.268375 | 1,483 | 46 | 96 | 32.23913 | 0.695853 | 0 | 0 | 0.055556 | 0 | 0 | 0.121294 | 0.014151 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.138889 | 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 |
22fd80b994ca4f5c482661c444d74e7a50232ab0 | 7,673 | py | Python | botc/gamemodes/troublebrewing/FortuneTeller.py | Xinverse/BOTC-Bot | 1932c649c81a5a1eab735d7abdee0761c2853940 | [
"MIT"
] | 1 | 2020-06-21T17:20:17.000Z | 2020-06-21T17:20:17.000Z | botc/gamemodes/troublebrewing/FortuneTeller.py | BlueLenz/Blood-on-the-Clocktower-Storyteller-Discord-Bot | 1932c649c81a5a1eab735d7abdee0761c2853940 | [
"MIT"
] | 1 | 2020-07-07T03:47:44.000Z | 2020-07-07T03:47:44.000Z | botc/gamemodes/troublebrewing/FortuneTeller.py | BlueLenz/Blood-on-the-Clocktower-Storyteller-Discord-Bot | 1932c649c81a5a1eab735d7abdee0761c2853940 | [
"MIT"
] | 1 | 2022-02-18T00:42:19.000Z | 2022-02-18T00:42:19.000Z | """Contains the Fortune Teller Character class"""
import json
import random
import discord
import datetime
from botc import Action, ActionTypes, Townsfolk, Character, Storyteller, RedHerring, \
RecurringAction, Category, StatusList
from botc.BOTCUtils import GameLogic
from ._utils import TroubleBrewing, TBRole
im... | 41.032086 | 115 | 0.644598 | 898 | 7,673 | 5.292873 | 0.269488 | 0.065643 | 0.020198 | 0.024195 | 0.18178 | 0.132127 | 0.1174 | 0.045024 | 0.045024 | 0.025247 | 0 | 0.008134 | 0.263 | 7,673 | 186 | 116 | 41.252688 | 0.832361 | 0.17516 | 0 | 0.090909 | 0 | 0 | 0.136893 | 0.033433 | 0 | 0 | 0 | 0 | 0.018182 | 1 | 0.045455 | false | 0.027273 | 0.072727 | 0 | 0.163636 | 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 |
22fdcdf03da29d4d6e3f5e50e7e03925c3c15cdd | 10,849 | py | Python | src/schmetterling/build/tests/test_maven.py | bjuvensjo/schmetterling | 0cdbfe4f379a081d9d4711dd21866b90983365cf | [
"Apache-2.0"
] | null | null | null | src/schmetterling/build/tests/test_maven.py | bjuvensjo/schmetterling | 0cdbfe4f379a081d9d4711dd21866b90983365cf | [
"Apache-2.0"
] | null | null | null | src/schmetterling/build/tests/test_maven.py | bjuvensjo/schmetterling | 0cdbfe4f379a081d9d4711dd21866b90983365cf | [
"Apache-2.0"
] | null | null | null | from unittest.mock import call, MagicMock, patch
from schmetterling.build.maven import build_multi_modules
from schmetterling.build.maven import create_build_result
from schmetterling.build.maven import create_command
from schmetterling.build.maven import create_multi_modules
from schmetterling.build.maven import crea... | 33.381538 | 107 | 0.461702 | 940 | 10,849 | 5.07234 | 0.138298 | 0.077601 | 0.091653 | 0.058725 | 0.540898 | 0.412752 | 0.353188 | 0.301594 | 0.226091 | 0.186661 | 0 | 0.008349 | 0.392755 | 10,849 | 324 | 108 | 33.484568 | 0.715392 | 0 | 0 | 0.51634 | 0 | 0 | 0.306849 | 0.076228 | 0 | 0 | 0 | 0 | 0.062092 | 1 | 0.026144 | false | 0 | 0.035948 | 0 | 0.062092 | 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 |
22fe0847296c50b27120f9c55084e9eba84b2a5a | 1,753 | py | Python | Copados y Clases/Mastermind_DEBUG.py | FdelMazo/7540rw-Algo1 | 8900604873195df9e902ead6bcb67723a8b654c8 | [
"MIT"
] | 1 | 2021-11-20T18:41:34.000Z | 2021-11-20T18:41:34.000Z | Copados y Clases/Mastermind_DEBUG.py | FdelMazo/7540rw-Algo1 | 8900604873195df9e902ead6bcb67723a8b654c8 | [
"MIT"
] | null | null | null | Copados y Clases/Mastermind_DEBUG.py | FdelMazo/7540rw-Algo1 | 8900604873195df9e902ead6bcb67723a8b654c8 | [
"MIT"
] | null | null | null | #Sacar las lineas con DEBUG para que el juego funcione
import random
DIGITOS = 4
def mastermind():
"""Funcion principal del juego Mastermind"""
print("Bienvenido al Mastermind!")
print("Instrucciones: Tenes que adivinar un codigo de {} digitos distintos. Tu cantidad de aciertos son los numeros que estan corr... | 37.297872 | 263 | 0.697091 | 217 | 1,753 | 5.612903 | 0.410138 | 0.036946 | 0.01642 | 0.027915 | 0.029557 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011855 | 0.181974 | 1,753 | 47 | 264 | 37.297872 | 0.837517 | 0.096977 | 0 | 0.102564 | 0 | 0.025641 | 0.322602 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.025641 | 0 | 0.153846 | 0.179487 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
22ffabcfd90f7354812821f61ad46409c8d4a120 | 15,233 | py | Python | PyPortal_User_Interface/code.py | RichardA1/Adafruit_Learning_System_Guides | 7d06d8a126f357a431384c3af73339cb46f44c19 | [
"MIT"
] | 1 | 2022-01-31T21:55:48.000Z | 2022-01-31T21:55:48.000Z | PyPortal_User_Interface/code.py | aadisalimani/Adafruit_Learning_System_Guides | 1b18cfcd6d426bf018545fd7b4102a8196c11c16 | [
"MIT"
] | null | null | null | PyPortal_User_Interface/code.py | aadisalimani/Adafruit_Learning_System_Guides | 1b18cfcd6d426bf018545fd7b4102a8196c11c16 | [
"MIT"
] | null | null | null | import time
import board
import displayio
import busio
from analogio import AnalogIn
import neopixel
import adafruit_adt7410
from adafruit_bitmap_font import bitmap_font
from adafruit_display_text.label import Label
from adafruit_button import Button
import adafruit_touchscreen
from adafruit_pyportal import PyPortal
#... | 35.508159 | 89 | 0.594433 | 1,861 | 15,233 | 4.70446 | 0.192907 | 0.011879 | 0.012336 | 0.014392 | 0.380126 | 0.35671 | 0.339121 | 0.309766 | 0.256539 | 0.202513 | 0 | 0.051023 | 0.310379 | 15,233 | 428 | 90 | 35.591122 | 0.782294 | 0.164511 | 0 | 0.297214 | 0 | 0 | 0.048139 | 0.007205 | 0 | 0 | 0.034521 | 0 | 0 | 1 | 0.021672 | false | 0.027864 | 0.037152 | 0 | 0.068111 | 0.037152 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe00cf45d1015948865b349bcd27a15e243e3e66 | 7,741 | py | Python | btse_futures/order.py | yottatix/btse-python | 1c5019d0a68dff797afc70c4cc32c1950c28af4e | [
"MIT"
] | null | null | null | btse_futures/order.py | yottatix/btse-python | 1c5019d0a68dff797afc70c4cc32c1950c28af4e | [
"MIT"
] | null | null | null | btse_futures/order.py | yottatix/btse-python | 1c5019d0a68dff797afc70c4cc32c1950c28af4e | [
"MIT"
] | null | null | null | import json
from btse_futures.constants import OrderType, Side, TimeInForce
class Order:
"""
Class to represent a BTSE Order
...
Attributes
----------
size : int
order quantity or size. e.g. 1
price : float
price. e.g. 7000.0
side: str
order side. B... | 33.510823 | 274 | 0.612324 | 838 | 7,741 | 5.523866 | 0.186158 | 0.062 | 0.062216 | 0.009073 | 0.067617 | 0.041262 | 0.023763 | 0.023763 | 0.023763 | 0 | 0 | 0.023912 | 0.281488 | 7,741 | 230 | 275 | 33.656522 | 0.808342 | 0.245317 | 0 | 0.162963 | 0 | 0 | 0.076395 | 0.005057 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.059259 | false | 0 | 0.014815 | 0.007407 | 0.133333 | 0.007407 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe00feaeeab5dd9b94bc8b6fc0a0dcbedc801a5d | 2,037 | py | Python | tests/mock_responses.py | md-reddevil/blinkpy | 3c7892385352079227c6251eb88257870bea0bb3 | [
"MIT"
] | null | null | null | tests/mock_responses.py | md-reddevil/blinkpy | 3c7892385352079227c6251eb88257870bea0bb3 | [
"MIT"
] | null | null | null | tests/mock_responses.py | md-reddevil/blinkpy | 3c7892385352079227c6251eb88257870bea0bb3 | [
"MIT"
] | null | null | null | """Simple mock responses definitions."""
from blinkpy.helpers.util import BlinkURLHandler
import blinkpy.helpers.constants as const
LOGIN_RESPONSE = {
'region': {'mock': 'Test'},
'networks': {
'1234': {'name': 'test', 'onboarded': True}
},
'authtoken': {'authtoken': 'foobar123', 'message': 'au... | 28.291667 | 65 | 0.573883 | 220 | 2,037 | 5.181818 | 0.377273 | 0.035088 | 0.031579 | 0.031579 | 0.049123 | 0.049123 | 0 | 0 | 0 | 0 | 0 | 0.028413 | 0.291605 | 2,037 | 71 | 66 | 28.690141 | 0.761608 | 0.106529 | 0 | 0.117647 | 0 | 0 | 0.134529 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0.019608 | 0.039216 | 0 | 0.215686 | 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 |
fe01b90ce53e119b08e13770e4500dbf262d962f | 2,061 | py | Python | fits_tools.py | steveschulze/Photometry | 3bc4ce457a270962321176d0e3e288b5a96cd34b | [
"BSD-2-Clause"
] | 6 | 2020-03-05T20:58:35.000Z | 2022-02-13T20:18:46.000Z | fits_tools.py | steveschulze/Photometry | 3bc4ce457a270962321176d0e3e288b5a96cd34b | [
"BSD-2-Clause"
] | 1 | 2020-03-10T00:03:46.000Z | 2020-03-10T00:03:46.000Z | fits_tools.py | steveschulze/Photometry | 3bc4ce457a270962321176d0e3e288b5a96cd34b | [
"BSD-2-Clause"
] | 1 | 2020-11-26T10:38:47.000Z | 2020-11-26T10:38:47.000Z | from astropy import coordinates as coord
from astropy import wcs
from astropy.io import fits
from astropy import units as u
from misc import bcolors
import numpy as np
import os
def convert_hms_dd(RA, DEC):
'''
Convert HMS to DD system
'''
if (':' in RA) and (':' in DEC):
Coord_dd = coord.SkyCoord(RA, DEC... | 21.247423 | 111 | 0.622028 | 327 | 2,061 | 3.856269 | 0.314985 | 0.00793 | 0.06027 | 0.054718 | 0.127676 | 0.0682 | 0.033307 | 0 | 0 | 0 | 0 | 0.013301 | 0.197477 | 2,061 | 96 | 112 | 21.46875 | 0.749093 | 0.068413 | 0 | 0.127273 | 0 | 0 | 0.094984 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.127273 | 0 | 0.327273 | 0.054545 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe028f3f35a9ad5d36908ec80630b139c6300e3c | 2,155 | py | Python | test_stbp_snn_eval.py | neurom-iot/n3ml | 39c6b50661f293d58b4b37ef613643860724bb24 | [
"MIT"
] | 11 | 2019-03-15T17:20:54.000Z | 2022-03-01T08:25:36.000Z | test_stbp_snn_eval.py | neurom-iot/n3ml | 39c6b50661f293d58b4b37ef613643860724bb24 | [
"MIT"
] | 7 | 2019-03-15T16:02:51.000Z | 2021-12-03T08:17:06.000Z | test_stbp_snn_eval.py | neurom-iot/n3ml | 39c6b50661f293d58b4b37ef613643860724bb24 | [
"MIT"
] | 9 | 2019-10-14T12:38:19.000Z | 2021-12-02T04:49:28.000Z | import argparse
import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
from n3ml.model import DynamicModel_STBP_SNN
def validate(val_loader, model, encoder, criterion, opt):
model.eval()
total_images = 0
num_corrects = 0
total_loss = 0
with torch.no_g... | 28.355263 | 86 | 0.647332 | 277 | 2,155 | 4.837545 | 0.371841 | 0.033582 | 0.050746 | 0.032836 | 0.128358 | 0.061194 | 0.061194 | 0 | 0 | 0 | 0 | 0.014934 | 0.223202 | 2,155 | 75 | 87 | 28.733333 | 0.785544 | 0 | 0 | 0 | 0 | 0 | 0.05522 | 0.016241 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.117647 | 0 | 0.176471 | 0.039216 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe03d9810588ad4d8d061ca21558f5e026141e64 | 2,334 | py | Python | kaggle_melanoma/schedulers.py | tinve/kaggle_melanoma | 6d2d16d62a394fd9cc2498bdf1a19ce60fe047eb | [
"MIT"
] | 8 | 2020-06-01T10:42:40.000Z | 2022-02-17T08:42:49.000Z | kaggle_melanoma/schedulers.py | tinve/kaggle_melanoma | 6d2d16d62a394fd9cc2498bdf1a19ce60fe047eb | [
"MIT"
] | null | null | null | kaggle_melanoma/schedulers.py | tinve/kaggle_melanoma | 6d2d16d62a394fd9cc2498bdf1a19ce60fe047eb | [
"MIT"
] | 2 | 2020-06-08T22:34:38.000Z | 2022-02-24T03:15:59.000Z | import math
from torch.optim.lr_scheduler import _LRScheduler
from torch.optim.optimizer import Optimizer
class PolyLR(_LRScheduler):
"""
Sets the learning rate of each parameter group according to poly learning rate policy
"""
def __init__(self, optimizer, max_iter=90000, power=0.9, last_epoch=-1):... | 35.363636 | 114 | 0.641388 | 322 | 2,334 | 4.378882 | 0.232919 | 0.057447 | 0.039007 | 0.038298 | 0.186525 | 0.151064 | 0.124823 | 0.124823 | 0.073759 | 0.073759 | 0 | 0.012118 | 0.257498 | 2,334 | 65 | 115 | 35.907692 | 0.8015 | 0.071123 | 0 | 0.04 | 0 | 0 | 0.013011 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.06 | 0.02 | 0.26 | 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 |
fe056ef418d151035d2b9bd419b580cf756d0fd1 | 1,099 | py | Python | utils.py | federicosapienza/InboxNotionTelegramBot | 031d5e78cd352dfb692b93f3e0b421695f1dc18e | [
"MIT"
] | null | null | null | utils.py | federicosapienza/InboxNotionTelegramBot | 031d5e78cd352dfb692b93f3e0b421695f1dc18e | [
"MIT"
] | null | null | null | utils.py | federicosapienza/InboxNotionTelegramBot | 031d5e78cd352dfb692b93f3e0b421695f1dc18e | [
"MIT"
] | null | null | null | import json
import logging
logger = logging.getLogger(__name__)
with open('configuration.json') as f:
config = json.load(f)
TELEGRAM_TOKEN = config["telegram-bot-token"]
NOTION_TOKEN = config["notion-token"]
NOTION_TABLE_URL = config["inbox_table"]["table_url"]
def check_allowed_user(user_id):
"""
chec... | 27.475 | 107 | 0.674249 | 143 | 1,099 | 4.958042 | 0.405594 | 0.076164 | 0.050776 | 0.088858 | 0.06488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22566 | 1,099 | 39 | 108 | 28.179487 | 0.833137 | 0.165605 | 0 | 0 | 0 | 0 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.090909 | 0 | 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 |
fe068879b9f1513a9f5e49e88200ed64c8fa16f1 | 12,623 | py | Python | cassiopeia/datastores/riotapi/match.py | artemigkh/cassiopeia | fa78cb8f86ea21857916a707d04de6a05498033e | [
"MIT"
] | 1 | 2021-09-07T05:26:21.000Z | 2021-09-07T05:26:21.000Z | cassiopeia/datastores/riotapi/match.py | artemigkh/cassiopeia | fa78cb8f86ea21857916a707d04de6a05498033e | [
"MIT"
] | null | null | null | cassiopeia/datastores/riotapi/match.py | artemigkh/cassiopeia | fa78cb8f86ea21857916a707d04de6a05498033e | [
"MIT"
] | 1 | 2016-10-20T11:54:20.000Z | 2016-10-20T11:54:20.000Z | from time import time
from typing import Type, TypeVar, MutableMapping, Any, Iterable, Generator, Union
import arrow
import datetime
import math
from datapipelines import DataSource, PipelineContext, Query, NotFoundError, validate_query
from .common import RiotAPIService, APINotFoundError
from ...data import Platform... | 45.735507 | 178 | 0.614751 | 1,405 | 12,623 | 5.316014 | 0.108897 | 0.019681 | 0.048199 | 0.036953 | 0.688579 | 0.656447 | 0.609586 | 0.554961 | 0.520418 | 0.478511 | 0 | 0.004687 | 0.256278 | 12,623 | 275 | 179 | 45.901818 | 0.790903 | 0.00911 | 0 | 0.480349 | 0 | 0.017467 | 0.142251 | 0.011681 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056769 | false | 0.008734 | 0.043668 | 0.004367 | 0.165939 | 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 |
fe073352dbed399802293822986fcaea27535a33 | 10,374 | py | Python | Lib/site-packages/hackedit/vendor/jedi/cache.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | 1 | 2017-08-19T08:13:28.000Z | 2017-08-19T08:13:28.000Z | node_modules/nuclide/pkg/nuclide-python-rpc/VendorLib/jedi/cache.py | kevingatera/kgatewebapp | f0dbc50b7af2736e1f6c6f96f0a26fc7ff69db20 | [
"Unlicense"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | Lib/site-packages/hackedit/vendor/jedi/cache.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | """
This caching is very important for speed and memory optimizations. There's
nothing really spectacular, just some decorators. The following cache types are
available:
- module caching (`load_parser` and `save_parser`), which uses pickle and is
really important to assure low load times of modules like ``numpy``.
-... | 29.724928 | 88 | 0.618662 | 1,303 | 10,374 | 4.737529 | 0.254029 | 0.033857 | 0.029159 | 0.020411 | 0.109833 | 0.07387 | 0.07387 | 0.018792 | 0.018792 | 0.018792 | 0 | 0.002463 | 0.295547 | 10,374 | 348 | 89 | 29.810345 | 0.842228 | 0.207634 | 0 | 0.245192 | 0 | 0 | 0.029448 | 0.013842 | 0 | 0 | 0 | 0.005747 | 0 | 1 | 0.134615 | false | 0.014423 | 0.110577 | 0.009615 | 0.365385 | 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 |
fe0a261cca22dd0888b296d89b5ce6c47723b470 | 4,569 | py | Python | python-modules/robcoewmrobotconfigurator/robcoewmrobotconfigurator/run.py | yschiebelhut/ewm-cloud-robotics | bdf3a6c13850d266b70168912494300c32d4d803 | [
"Apache-2.0"
] | null | null | null | python-modules/robcoewmrobotconfigurator/robcoewmrobotconfigurator/run.py | yschiebelhut/ewm-cloud-robotics | bdf3a6c13850d266b70168912494300c32d4d803 | [
"Apache-2.0"
] | null | null | null | python-modules/robcoewmrobotconfigurator/robcoewmrobotconfigurator/run.py | yschiebelhut/ewm-cloud-robotics | bdf3a6c13850d266b70168912494300c32d4d803 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# encoding: utf-8
#
# Copyright (c) 2019 SAP SE or an SAP affiliate company. All rights reserved.
#
# This file is part of ewm-cloud-robotics
# (see https://github.com/SAP/ewm-cloud-robotics).
#
# This file is licensed under the Apache Software License, v. 2 except as noted
# otherwise in the LIC... | 33.595588 | 98 | 0.661633 | 527 | 4,569 | 5.593928 | 0.373814 | 0.011872 | 0.016282 | 0.011533 | 0.118725 | 0.110583 | 0.084125 | 0.061737 | 0.041384 | 0.041384 | 0 | 0.008986 | 0.244911 | 4,569 | 135 | 99 | 33.844444 | 0.845507 | 0.245787 | 0 | 0.106667 | 0 | 0 | 0.161891 | 0.015362 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053333 | false | 0 | 0.106667 | 0 | 0.173333 | 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 |
fe0d4c9278280b1296bb8358bef8f6502e5d0540 | 82,820 | py | Python | ninjabackend.py | tp-m/meson | 2d1aa395e86848ca948d30d83cc5357777e5b490 | [
"Apache-2.0"
] | null | null | null | ninjabackend.py | tp-m/meson | 2d1aa395e86848ca948d30d83cc5357777e5b490 | [
"Apache-2.0"
] | null | null | null | ninjabackend.py | tp-m/meson | 2d1aa395e86848ca948d30d83cc5357777e5b490 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012-2014 The Meson development team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agree... | 45.630854 | 176 | 0.589942 | 9,661 | 82,820 | 4.858089 | 0.086533 | 0.015085 | 0.021093 | 0.022968 | 0.420335 | 0.346636 | 0.302574 | 0.259109 | 0.206183 | 0.165317 | 0 | 0.001351 | 0.303043 | 82,820 | 1,814 | 177 | 45.656009 | 0.811753 | 0.049022 | 0 | 0.301345 | 0 | 0.001222 | 0.083425 | 0.001843 | 0.001222 | 0 | 0 | 0.000551 | 0.002445 | 1 | 0.050122 | false | 0.003667 | 0.008557 | 0.003667 | 0.090465 | 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 |
fe12421e5a8c03bfd1fbb0c021c5255e880a14d5 | 7,737 | py | Python | tools/third_party/iniconfig/testing/test_iniconfig.py | meyerweb/wpt | f04261533819893c71289614c03434c06856c13e | [
"BSD-3-Clause"
] | 2,479 | 2018-05-28T14:51:29.000Z | 2022-03-30T14:41:18.000Z | tools/third_party/iniconfig/testing/test_iniconfig.py | meyerweb/wpt | f04261533819893c71289614c03434c06856c13e | [
"BSD-3-Clause"
] | 7,642 | 2018-05-28T09:38:03.000Z | 2022-03-31T20:55:48.000Z | tools/third_party/iniconfig/testing/test_iniconfig.py | meyerweb/wpt | f04261533819893c71289614c03434c06856c13e | [
"BSD-3-Clause"
] | 1,303 | 2018-05-29T14:50:02.000Z | 2022-03-30T17:30:42.000Z | import py
import pytest
from iniconfig import IniConfig, ParseError, __all__ as ALL
from iniconfig import iscommentline
from textwrap import dedent
check_tokens = {
'section': (
'[section]',
[(0, 'section', None, None)]
),
'value': (
'value = 1',
[(0, None, 'value', '1')]
... | 24.561905 | 73 | 0.586145 | 907 | 7,737 | 4.898567 | 0.183021 | 0.037812 | 0.036012 | 0.037812 | 0.267837 | 0.21427 | 0.186135 | 0.122215 | 0.092055 | 0.081026 | 0 | 0.017586 | 0.242988 | 7,737 | 314 | 74 | 24.640127 | 0.740994 | 0.00866 | 0 | 0.278689 | 0 | 0 | 0.280908 | 0 | 0 | 0 | 0 | 0 | 0.196721 | 1 | 0.118852 | false | 0.016393 | 0.02459 | 0.016393 | 0.163934 | 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 |
fe13276650bb177fc42299abc71b473c1a0414dc | 3,586 | py | Python | jskparser/jskparser/util.py | natebragg/java-sketch | f5ac26f2cc46ae4556f9a61c55afd37f55c961ff | [
"MIT"
] | 15 | 2015-12-15T18:33:50.000Z | 2021-09-29T11:48:54.000Z | jskparser/jskparser/util.py | natebragg/java-sketch | f5ac26f2cc46ae4556f9a61c55afd37f55c961ff | [
"MIT"
] | 11 | 2015-11-16T22:14:58.000Z | 2021-09-23T05:28:40.000Z | jskparser/jskparser/util.py | natebragg/java-sketch | f5ac26f2cc46ae4556f9a61c55afd37f55c961ff | [
"MIT"
] | 8 | 2015-11-16T21:50:08.000Z | 2021-03-23T15:15:34.000Z | import os
from subprocess import call
from . import glob2
pwd = os.path.dirname(__file__)
def get_files_from_path(path, ext):
# use set to remove duplicate files. weird...but it happens
if os.path.isfile(path): return set([os.path.abspath(path)])
else: # i.e., folder
files = glob2.glob(os.path.a... | 54.333333 | 209 | 0.663971 | 572 | 3,586 | 4.006993 | 0.263986 | 0.091623 | 0.096422 | 0.104712 | 0.447208 | 0.439354 | 0.429319 | 0.429319 | 0.25349 | 0.25349 | 0 | 0.003409 | 0.182097 | 3,586 | 65 | 210 | 55.169231 | 0.778043 | 0.09565 | 0 | 0 | 0 | 0.018868 | 0.203999 | 0.169947 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.056604 | 0 | 0.132075 | 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 |
fe133101724c39453da53bbd1a90715fd62fd7e1 | 24,301 | py | Python | fiftyone/core/patches.py | SNeugber/fiftyone | a50be47bbbf189e4bbdcd631b93c4c9cbf41c6b7 | [
"Apache-2.0"
] | null | null | null | fiftyone/core/patches.py | SNeugber/fiftyone | a50be47bbbf189e4bbdcd631b93c4c9cbf41c6b7 | [
"Apache-2.0"
] | null | null | null | fiftyone/core/patches.py | SNeugber/fiftyone | a50be47bbbf189e4bbdcd631b93c4c9cbf41c6b7 | [
"Apache-2.0"
] | null | null | null | """
Patches views.
| Copyright 2017-2021, Voxel51, Inc.
| `voxel51.com <https://voxel51.com/>`_
|
"""
from copy import deepcopy
import eta.core.utils as etau
import fiftyone.core.aggregations as foa
import fiftyone.core.dataset as fod
import fiftyone.core.fields as fof
import fiftyone.core.labels as fol
import fifty... | 32.186755 | 104 | 0.607876 | 2,771 | 24,301 | 5.044388 | 0.134608 | 0.024038 | 0.024324 | 0.012877 | 0.417012 | 0.376592 | 0.338389 | 0.298397 | 0.267706 | 0.219774 | 0 | 0.001421 | 0.305008 | 24,301 | 754 | 105 | 32.229443 | 0.826218 | 0.287848 | 0 | 0.259009 | 0 | 0 | 0.057025 | 0 | 0 | 0 | 0 | 0.001326 | 0 | 1 | 0.087838 | false | 0.004505 | 0.02027 | 0.027027 | 0.18018 | 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 |
fe14a23d28223212d47c4b4e15846d9b001de45c | 6,153 | py | Python | src/zope/app/debug/debug.py | zopefoundation/zope.app.debug | 4f31e98f6a633f089bf132dd55cb3ead0270887b | [
"ZPL-2.1"
] | null | null | null | src/zope/app/debug/debug.py | zopefoundation/zope.app.debug | 4f31e98f6a633f089bf132dd55cb3ead0270887b | [
"ZPL-2.1"
] | 2 | 2017-05-08T10:46:20.000Z | 2021-02-02T07:16:49.000Z | src/zope/app/debug/debug.py | zopefoundation/zope.app.debug | 4f31e98f6a633f089bf132dd55cb3ead0270887b | [
"ZPL-2.1"
] | 1 | 2015-04-03T07:36:10.000Z | 2015-04-03T07:36:10.000Z | ##############################################################################
#
# Copyright (c) 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... | 29.868932 | 78 | 0.57988 | 725 | 6,153 | 4.804138 | 0.310345 | 0.022107 | 0.02584 | 0.012633 | 0.223945 | 0.171117 | 0.171117 | 0.125179 | 0.125179 | 0.125179 | 0 | 0.009238 | 0.296278 | 6,153 | 205 | 79 | 30.014634 | 0.79515 | 0.154234 | 0 | 0.164179 | 0 | 0 | 0.055077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08209 | false | 0.007463 | 0.126866 | 0.007463 | 0.298507 | 0.037313 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe1507ff94aad4e4172a286172e136314812d8b6 | 1,855 | py | Python | transfer_learning.py | terryli710/SIIM-ACR-Pneumothorax-Classification | 8b278a9885b71c919d7064b2df42863b53f7adf3 | [
"MIT"
] | null | null | null | transfer_learning.py | terryli710/SIIM-ACR-Pneumothorax-Classification | 8b278a9885b71c919d7064b2df42863b53f7adf3 | [
"MIT"
] | null | null | null | transfer_learning.py | terryli710/SIIM-ACR-Pneumothorax-Classification | 8b278a9885b71c919d7064b2df42863b53f7adf3 | [
"MIT"
] | 1 | 2020-05-14T06:16:12.000Z | 2020-05-14T06:16:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 18 22:42:54 2020
@author: mike
"""
import numpy as np
import tensorflow as tf
from tensorflow import keras
from sklearn.model_selection import train_test_split
from tensorflow.keras.applications import VGG16
from tensorflow.keras import layers
fro... | 26.884058 | 117 | 0.725067 | 301 | 1,855 | 4.292359 | 0.38206 | 0.02322 | 0.040248 | 0.044118 | 0.111455 | 0.069659 | 0.0387 | 0 | 0 | 0 | 0 | 0.057917 | 0.125067 | 1,855 | 69 | 118 | 26.884058 | 0.738139 | 0.050674 | 0 | 0 | 0 | 0 | 0.059897 | 0.027952 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe15525a101c45bc65c1049e9b6ece9e4cd29f69 | 2,158 | py | Python | core/tests/test_polyflow/test_workflows/test_hyperband.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | core/tests/test_polyflow/test_workflows/test_hyperband.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | core/tests/test_polyflow/test_workflows/test_hyperband.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2020 Polyaxon, 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 ... | 35.377049 | 79 | 0.672845 | 252 | 2,158 | 5.642857 | 0.484127 | 0.091421 | 0.098453 | 0.087904 | 0.279887 | 0.279887 | 0.279887 | 0.279887 | 0.279887 | 0.279887 | 0 | 0.022754 | 0.226135 | 2,158 | 60 | 80 | 35.966667 | 0.828743 | 0.287766 | 0 | 0.294118 | 0 | 0 | 0.090132 | 0 | 0 | 0 | 0 | 0 | 0.176471 | 1 | 0.029412 | false | 0 | 0.147059 | 0 | 0.205882 | 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 |
fe185aaa73619017a36f547b25642264993ebd15 | 1,820 | py | Python | clickhouse_sqlalchemy/drivers/reflection.py | Fozar/clickhouse-sqlalchemy | 88fd630856655cc470430b365dce7e85516abf62 | [
"MIT"
] | null | null | null | clickhouse_sqlalchemy/drivers/reflection.py | Fozar/clickhouse-sqlalchemy | 88fd630856655cc470430b365dce7e85516abf62 | [
"MIT"
] | null | null | null | clickhouse_sqlalchemy/drivers/reflection.py | Fozar/clickhouse-sqlalchemy | 88fd630856655cc470430b365dce7e85516abf62 | [
"MIT"
] | null | null | null | from sqlalchemy.engine import reflection
from clickhouse_sqlalchemy import Table, engines
class ClickHouseInspector(reflection.Inspector):
def reflect_table(self, table, *args, **kwargs):
# This check is necessary to support direct instantiation of
# `clickhouse_sqlalchemy.Table` and then reflect... | 33.703704 | 78 | 0.621978 | 215 | 1,820 | 4.981395 | 0.325581 | 0.039216 | 0.070028 | 0.044818 | 0.102708 | 0.056022 | 0 | 0 | 0 | 0 | 0 | 0 | 0.295055 | 1,820 | 53 | 79 | 34.339623 | 0.834762 | 0.063187 | 0 | 0.1 | 0 | 0 | 0.02879 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.05 | 0 | 0.2 | 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 |
fe190819e431106bd53c08a681b3911ad9502e88 | 6,289 | py | Python | src/runner.py | samirsahoo007/Naive-Bayes-and-Decision-Tree-Classifiers | 619c5c0b17438d1014f7ca7e4ce13cc44c45de3c | [
"MIT"
] | 1 | 2020-11-17T16:09:13.000Z | 2020-11-17T16:09:13.000Z | src/runner.py | samirsahoo007/Naive-Bayes-and-Decision-Tree-Classifiers | 619c5c0b17438d1014f7ca7e4ce13cc44c45de3c | [
"MIT"
] | null | null | null | src/runner.py | samirsahoo007/Naive-Bayes-and-Decision-Tree-Classifiers | 619c5c0b17438d1014f7ca7e4ce13cc44c45de3c | [
"MIT"
] | 4 | 2019-07-05T02:03:02.000Z | 2022-01-21T22:12:16.000Z | # -*- coding: utf-8 -*- #
"""*********************************************************************************************"""
# FileName [ runner.py ]
# Synopsis [ main program that runs the 'Naive Bayes' and 'Decision Tree' training / testing ]
# Author [ Ting-Wei Liu (Andi611) ]
# Copyright [... | 38.582822 | 151 | 0.690253 | 863 | 6,289 | 4.791425 | 0.181924 | 0.063845 | 0.054414 | 0.041354 | 0.441112 | 0.368077 | 0.260701 | 0.213543 | 0.118742 | 0.069891 | 0 | 0.000727 | 0.125139 | 6,289 | 162 | 152 | 38.820988 | 0.750818 | 0.084274 | 0 | 0.15 | 0 | 0 | 0.295801 | 0.037904 | 0 | 0 | 0 | 0 | 0.05 | 1 | 0.04 | false | 0 | 0.07 | 0 | 0.14 | 0.01 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe195c652a959304ac79843bfd7f33439351fd89 | 7,393 | py | Python | igibson/metrics/agent.py | Nick-AhSen/iGibson | c6854f11eec5d935fa3ef3d6d4852c6571beab4b | [
"MIT"
] | null | null | null | igibson/metrics/agent.py | Nick-AhSen/iGibson | c6854f11eec5d935fa3ef3d6d4852c6571beab4b | [
"MIT"
] | null | null | null | igibson/metrics/agent.py | Nick-AhSen/iGibson | c6854f11eec5d935fa3ef3d6d4852c6571beab4b | [
"MIT"
] | null | null | null | import copy
import numpy as np
import pybullet as p
from igibson.metrics.metric_base import MetricBase
class BehaviorRobotMetric(MetricBase):
def __init__(self):
self.initialized = False
self.state_cache = {}
self.next_state_cache = {}
self.agent_pos = {part: [] for part in ["l... | 38.305699 | 116 | 0.581631 | 857 | 7,393 | 4.75846 | 0.115519 | 0.079451 | 0.061795 | 0.04463 | 0.78102 | 0.670181 | 0.626533 | 0.537764 | 0.510299 | 0.456106 | 0 | 0.005694 | 0.287299 | 7,393 | 192 | 117 | 38.505208 | 0.768267 | 0.003111 | 0 | 0.412903 | 0 | 0 | 0.109663 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03871 | false | 0 | 0.025806 | 0.012903 | 0.090323 | 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 |
fe1c00d5c2481798d64766027364e0e668d8c7bc | 59,866 | py | Python | src/ttkbootstrap/dialogs/dialogs.py | MrJaatt/ttkbootstrap | 4e837d64859e5a230ef0500faddbb2c384f5b9d4 | [
"MIT"
] | 1 | 2022-01-28T09:37:32.000Z | 2022-01-28T09:37:32.000Z | src/ttkbootstrap/dialogs/dialogs.py | MrJaatt/ttkbootstrap | 4e837d64859e5a230ef0500faddbb2c384f5b9d4 | [
"MIT"
] | null | null | null | src/ttkbootstrap/dialogs/dialogs.py | MrJaatt/ttkbootstrap | 4e837d64859e5a230ef0500faddbb2c384f5b9d4 | [
"MIT"
] | null | null | null | """
This module contains various base dialog base classes that can be
used to create custom dialogs for the end user.
These classes serve as the basis for the pre-defined static helper
methods in the `Messagebox`, and `Querybox` container classes.
"""
import calendar
import textwrap
from datetime im... | 33.65149 | 105 | 0.568219 | 6,836 | 59,866 | 4.88897 | 0.09567 | 0.010173 | 0.017504 | 0.009425 | 0.548757 | 0.504982 | 0.472009 | 0.435415 | 0.398283 | 0.378714 | 0 | 0.004286 | 0.345321 | 59,866 | 1,778 | 106 | 33.670416 | 0.848391 | 0.382187 | 0 | 0.357798 | 0 | 0 | 0.038023 | 0.006764 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075688 | false | 0.002294 | 0.012615 | 0 | 0.127294 | 0.001147 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3a6ae7f4fab920589a878c0b0e9e7fa6a88c26a | 2,504 | py | Python | Google-Play-Store-App-Rating/code.py | venky4121994/ga-learner-dsmp-repo | 1bef03489931eece0d5ecb9ce0501dfeb558dc59 | [
"MIT"
] | null | null | null | Google-Play-Store-App-Rating/code.py | venky4121994/ga-learner-dsmp-repo | 1bef03489931eece0d5ecb9ce0501dfeb558dc59 | [
"MIT"
] | null | null | null | Google-Play-Store-App-Rating/code.py | venky4121994/ga-learner-dsmp-repo | 1bef03489931eece0d5ecb9ce0501dfeb558dc59 | [
"MIT"
] | null | null | null | # --------------
#Importing header files
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#Code starts here
data = pd.read_csv(path)
data.hist(['Rating'])
data = data[data['Rating']<=5]
data.hist(['Rating'])
#Code ends here
# --------------
# code starts here
total_null = data.isnull().s... | 25.55102 | 89 | 0.680112 | 356 | 2,504 | 4.682584 | 0.283708 | 0.071986 | 0.058788 | 0.04799 | 0.313137 | 0.184763 | 0.169166 | 0.09958 | 0.055189 | 0.055189 | 0 | 0.015391 | 0.091853 | 2,504 | 97 | 90 | 25.814433 | 0.717678 | 0.14377 | 0 | 0.085106 | 0 | 0 | 0.214825 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085106 | 0 | 0.085106 | 0.170213 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3a6e52033cd00d1b8f29b49e45d1f519baff3e9 | 6,597 | py | Python | converters/brat2iob.py | Banguiskode/nerds | 366420b2ec57bf790562de62a79f4973cbd6b3ed | [
"BSD-3-Clause"
] | 15 | 2019-12-05T18:40:22.000Z | 2021-02-20T05:34:50.000Z | converters/brat2iob.py | Banguiskode/nerds | 366420b2ec57bf790562de62a79f4973cbd6b3ed | [
"BSD-3-Clause"
] | null | null | null | converters/brat2iob.py | Banguiskode/nerds | 366420b2ec57bf790562de62a79f4973cbd6b3ed | [
"BSD-3-Clause"
] | 4 | 2019-12-30T13:03:05.000Z | 2021-02-16T13:08:09.000Z | import argparse
import operator
import os
import re
import shutil
import spacy
import tempfile
from nerds.utils import spans_to_tokens, get_logger
def segment_text_to_sentences(text_file, sentence_splitter):
""" Segment text into sentences. Text is provided by BRAT in .txt
file.
Args:
... | 36.854749 | 167 | 0.618463 | 906 | 6,597 | 4.363135 | 0.242826 | 0.042499 | 0.02125 | 0.022768 | 0.266886 | 0.217303 | 0.204149 | 0.130787 | 0.113585 | 0 | 0 | 0.010588 | 0.255571 | 6,597 | 178 | 168 | 37.061798 | 0.794339 | 0.33303 | 0 | 0.095745 | 0 | 0.010638 | 0.172877 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053191 | false | 0 | 0.085106 | 0 | 0.170213 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3a738f0c10019d9229ed8e9b93898831920170d | 2,503 | py | Python | kraken/lib/util.py | zjsteyn/kraken | eaa9f4290db5425ddf80d0aebfa3944713558ab5 | [
"Apache-2.0"
] | 1 | 2022-02-03T14:41:58.000Z | 2022-02-03T14:41:58.000Z | kraken/lib/util.py | ephenum/kraken | 47be8f7ddcb7c7ad63bfc5636df1976a4e84a5f0 | [
"Apache-2.0"
] | null | null | null | kraken/lib/util.py | ephenum/kraken | 47be8f7ddcb7c7ad63bfc5636df1976a4e84a5f0 | [
"Apache-2.0"
] | 1 | 2022-01-19T10:53:20.000Z | 2022-01-19T10:53:20.000Z | """
Ocropus's magic PIL-numpy array conversion routines. They express slightly
different behavior from PIL.Image.toarray().
"""
import unicodedata
import numpy as np
from PIL import Image
__all__ = ['pil2array', 'array2pil']
def pil2array(im: Image.Image, alpha: int = 0) -> np.array:
if im.mode == '1':
... | 27.811111 | 77 | 0.582901 | 338 | 2,503 | 4.286982 | 0.41716 | 0.024845 | 0.024845 | 0.016563 | 0.116632 | 0.116632 | 0.116632 | 0.072464 | 0.056591 | 0.056591 | 0 | 0.011056 | 0.277267 | 2,503 | 89 | 78 | 28.123596 | 0.789939 | 0.291251 | 0 | 0.125 | 0 | 0 | 0.075256 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.075 | 0.025 | 0.5 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3a7f40bcb06653665d3b8d30577d4282cd0f05f | 2,877 | py | Python | analysis/calculate_holding_amount.py | hao44le/ico_top_holder_analysis | aeeab01c90e4446b424c52c33a68ccb814123121 | [
"MIT"
] | 538 | 2018-07-04T21:14:52.000Z | 2022-03-26T15:16:08.000Z | analysis/calculate_holding_amount.py | hao44le/ico_top_holder_analysis | aeeab01c90e4446b424c52c33a68ccb814123121 | [
"MIT"
] | 4 | 2018-07-08T22:11:32.000Z | 2021-12-13T19:48:38.000Z | analysis/calculate_holding_amount.py | hao44le/ico_top_holder_analysis | aeeab01c90e4446b424c52c33a68ccb814123121 | [
"MIT"
] | 52 | 2018-07-05T12:07:37.000Z | 2021-04-05T23:34:20.000Z | import sys
sys.path.insert(0,'..')
from data.whale_data import exchnage_accounts
from data.html_helper import check_if_address_name_exists
from data.whale_eth_tx_data import *
from data.whale_token_tx_data import identify_investor_type_token
holding_account = "holding_account"
deposit_account = 'deposit_account'
withd... | 29.96875 | 91 | 0.642336 | 400 | 2,877 | 4.2975 | 0.2075 | 0.069808 | 0.068063 | 0.037231 | 0.178592 | 0.095404 | 0.0605 | 0.0605 | 0.0605 | 0.0605 | 0 | 0.003338 | 0.271116 | 2,877 | 95 | 92 | 30.284211 | 0.816404 | 0.032325 | 0 | 0.108108 | 0 | 0 | 0.040618 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.067568 | 0 | 0.148649 | 0.081081 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3a80291d5fdb7e2a418a7fbbb6542744e0db4d2 | 66,926 | py | Python | textbox/trainer/trainer.py | JBoRu/TextBox-1 | 0dcbaa153acc507e3d55075312d7ca5d23146e03 | [
"MIT"
] | 1 | 2021-08-12T01:08:09.000Z | 2021-08-12T01:08:09.000Z | textbox/trainer/trainer.py | JBoRu/TextBox-1 | 0dcbaa153acc507e3d55075312d7ca5d23146e03 | [
"MIT"
] | null | null | null | textbox/trainer/trainer.py | JBoRu/TextBox-1 | 0dcbaa153acc507e3d55075312d7ca5d23146e03 | [
"MIT"
] | null | null | null | # @Time : 2020/11/14
# @Author : Junyi Li, Gaole He
# @Email : lijunyi@ruc.edu.cn
# UPDATE:
# @Time : 2020/12/2, 2020/11/27, 2020/12/3, 2020/12/26
# @Author : Jinhao Jiang, Xiaoxuan Hu, Tianyi Tang, Jinhao Jiang
# @Email : jiangjinhao@std.uestc.edu.cn, huxiaoxuan@ruc.edu.cn, steventang@ruc.edu.cn, jiangjinhao@st... | 45.997251 | 146 | 0.621836 | 8,279 | 66,926 | 4.749245 | 0.062206 | 0.032046 | 0.02556 | 0.021262 | 0.725909 | 0.678527 | 0.645439 | 0.614538 | 0.576668 | 0.559628 | 0 | 0.003928 | 0.288587 | 66,926 | 1,454 | 147 | 46.028886 | 0.821894 | 0.146311 | 0 | 0.568461 | 0 | 0 | 0.067128 | 0.00226 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057602 | false | 0 | 0.012276 | 0 | 0.120869 | 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 |
a3a8234ec61d7794c6426793212657ac24a62f4a | 649 | py | Python | rsserpent/plugins/builtin/__init__.py | EurusEurus/RSSerpent | fd7aaf67b80b2b48c14b1a3efe733374b0012338 | [
"MIT"
] | null | null | null | rsserpent/plugins/builtin/__init__.py | EurusEurus/RSSerpent | fd7aaf67b80b2b48c14b1a3efe733374b0012338 | [
"MIT"
] | null | null | null | rsserpent/plugins/builtin/__init__.py | EurusEurus/RSSerpent | fd7aaf67b80b2b48c14b1a3efe733374b0012338 | [
"MIT"
] | null | null | null | from ...models import Persona, Plugin
from . import example, example_cache, example_ratelimit, example_with_args
plugin = Plugin(
name="rsserpent-plugin-builtin",
author=Persona(
name="queensferryme",
link="https://github.com/queensferryme",
email="queensferry.me@gmail.com",
),
... | 28.217391 | 74 | 0.682589 | 69 | 649 | 6.173913 | 0.42029 | 0.103286 | 0.105634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.191063 | 649 | 22 | 75 | 29.5 | 0.811429 | 0 | 0 | 0 | 0 | 0 | 0.214176 | 0.07396 | 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 |
a3a86ac522e7ca59c54af2df1492f75fd0ad7b3e | 2,859 | py | Python | data_processing/process_xls.py | luisroel91/libdib_assesment | c969cfecbce1243b457961ffafe5caaea7bb5149 | [
"MIT"
] | null | null | null | data_processing/process_xls.py | luisroel91/libdib_assesment | c969cfecbce1243b457961ffafe5caaea7bb5149 | [
"MIT"
] | null | null | null | data_processing/process_xls.py | luisroel91/libdib_assesment | c969cfecbce1243b457961ffafe5caaea7bb5149 | [
"MIT"
] | null | null | null | import pandas as pd
# Define our header
col_names = [
"year",
"num_males_with_income",
"male_median_income_curr_dollars",
"male_median_income_2019_dollars",
"num_females_with_income",
"female_median_income_curr_dollars",
"female_median_income_2019_dollars",
]
# Load Asian census data XLS, ... | 24.646552 | 82 | 0.671913 | 450 | 2,859 | 4.12 | 0.306667 | 0.06904 | 0.075512 | 0.113269 | 0.420712 | 0.289105 | 0.110032 | 0.110032 | 0.110032 | 0.110032 | 0 | 0.132291 | 0.172438 | 2,859 | 115 | 83 | 24.86087 | 0.65131 | 0.191675 | 0 | 0.079545 | 0 | 0 | 0.282353 | 0.149891 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.011364 | 0 | 0.011364 | 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 |
a3aa7d175c4008d278417caf82ba36b9fb655fda | 520 | py | Python | Section_1/Exercise_16.py | Szymon-Budziak/WDI_exercises_solutions | 51ffc9ec8b3cd6809bd55e98ecb8aed759c2d460 | [
"MIT"
] | null | null | null | Section_1/Exercise_16.py | Szymon-Budziak/WDI_exercises_solutions | 51ffc9ec8b3cd6809bd55e98ecb8aed759c2d460 | [
"MIT"
] | null | null | null | Section_1/Exercise_16.py | Szymon-Budziak/WDI_exercises_solutions | 51ffc9ec8b3cd6809bd55e98ecb8aed759c2d460 | [
"MIT"
] | 1 | 2021-11-21T09:38:33.000Z | 2021-11-21T09:38:33.000Z | """
Dany jest ciąg określony wzorem: A[n+1] = (A[n] % 2) ∗ (3 ∗ A[n] + 1) + (1 − A[n] % 2) ∗ A[n] / 2.
Startując z dowolnej liczby naturalnej > 1 ciąg ten osiąga wartość 1. Napisać program, który
znajdzie wyraz początkowy z przedziału 2-10000 dla którego wartość 1 jest osiągalna po największej
liczbie kroków.
"""
a0 = ... | 27.368421 | 98 | 0.542308 | 94 | 520 | 3.042553 | 0.468085 | 0.034965 | 0.031469 | 0.027972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117166 | 0.294231 | 520 | 18 | 99 | 28.888889 | 0.651226 | 0.588462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
a3ad80bfdfa53d706abcbf25b9e00b65302a112a | 1,480 | py | Python | AndroidSpider/spider_main.py | lidenghong1/SmallReptileTraining | a1bfb81c9969edfb7554acc50370c0cb036da690 | [
"MIT"
] | 1 | 2018-05-10T01:52:37.000Z | 2018-05-10T01:52:37.000Z | AndroidSpider/spider_main.py | lidenghong1/SmallReptileTraining | a1bfb81c9969edfb7554acc50370c0cb036da690 | [
"MIT"
] | null | null | null | AndroidSpider/spider_main.py | lidenghong1/SmallReptileTraining | a1bfb81c9969edfb7554acc50370c0cb036da690 | [
"MIT"
] | null | null | null | from AndroidSpider import url_manager, html_downloader, html_parser, html_output
'''
爬取百度百科 Android 关键词相关词及简介并输出为一个HTML tab网页
Extra module:
BeautifulSoup
'''
class SpiderMain(object):
def __init__(self):
self.urls = url_manager.UrlManager()
self.downloader = html_downloader.HtmlDownLoader()
... | 36.097561 | 141 | 0.597297 | 180 | 1,480 | 4.65 | 0.505556 | 0.050179 | 0.035842 | 0.033453 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032567 | 0.294595 | 1,480 | 40 | 142 | 37 | 0.769157 | 0 | 0 | 0 | 0 | 0.032258 | 0.134711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.032258 | 0 | 0.129032 | 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 |
a3ae0fed36bd78447d3c9b110c995da7eb0ec44e | 517 | py | Python | trompace/mutations/__init__.py | trompamusic/ce-queries-template | cc5ae69d0e76623bfd72e9453f569f6624bf7c3b | [
"Apache-2.0"
] | 1 | 2020-06-18T15:43:18.000Z | 2020-06-18T15:43:18.000Z | trompace/mutations/__init__.py | trompamusic/ce-queries-template | cc5ae69d0e76623bfd72e9453f569f6624bf7c3b | [
"Apache-2.0"
] | 60 | 2019-12-17T11:08:28.000Z | 2021-03-02T16:19:41.000Z | trompace/mutations/__init__.py | trompamusic/trompace-client | cc5ae69d0e76623bfd72e9453f569f6624bf7c3b | [
"Apache-2.0"
] | null | null | null | MUTATION = '''mutation {{
{mutation}
}}'''
def _verify_additional_type(additionaltype):
"""Check that the input to additionaltype is a list of strings.
If it is empty, raise ValueError
If it is a string, convert it to a list of strings."""
if additionaltype is None:
return None
if isins... | 28.722222 | 67 | 0.68472 | 64 | 517 | 5.484375 | 0.5 | 0.091168 | 0.039886 | 0.079772 | 0.091168 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002513 | 0.230174 | 517 | 17 | 68 | 30.411765 | 0.879397 | 0.280464 | 0 | 0 | 0 | 0 | 0.184358 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 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 |
a3ae4f1aada9f0b92aa00f9f17807bd4f8c072c1 | 951 | py | Python | Web_App/infrastructure/infra.py | CapitalOneDevExchangeHackathon/Financial-Fitness | 54a2203d6b3d96687d822247b040613b644874f2 | [
"MIT"
] | null | null | null | Web_App/infrastructure/infra.py | CapitalOneDevExchangeHackathon/Financial-Fitness | 54a2203d6b3d96687d822247b040613b644874f2 | [
"MIT"
] | null | null | null | Web_App/infrastructure/infra.py | CapitalOneDevExchangeHackathon/Financial-Fitness | 54a2203d6b3d96687d822247b040613b644874f2 | [
"MIT"
] | null | null | null | import boto
import boto3
from config import Config
dynamodb = boto3.resource('dynamodb',
aws_access_key_id=Config.AWS_KEY,
aws_secret_access_key=Config.AWS_SECRET_KEY,
region_name=Config.REGION)
table = dynamodb.Table('user_details')
tables... | 22.116279 | 119 | 0.589905 | 108 | 951 | 4.87037 | 0.398148 | 0.068441 | 0.079848 | 0.091255 | 0.418251 | 0.418251 | 0.418251 | 0.418251 | 0.418251 | 0.418251 | 0 | 0.018433 | 0.315457 | 951 | 42 | 120 | 22.642857 | 0.789555 | 0 | 0 | 0 | 0 | 0 | 0.082105 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.103448 | 0 | 0.241379 | 0.137931 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3b0debd51a02674a2485fcb5fa43dc82bc97eff | 2,751 | py | Python | SelfTests.py | TeaPackCZ/RobotZed | 7ac8bfb14a6c2e5887f8fed299ad87b384701c54 | [
"MIT"
] | null | null | null | SelfTests.py | TeaPackCZ/RobotZed | 7ac8bfb14a6c2e5887f8fed299ad87b384701c54 | [
"MIT"
] | null | null | null | SelfTests.py | TeaPackCZ/RobotZed | 7ac8bfb14a6c2e5887f8fed299ad87b384701c54 | [
"MIT"
] | null | null | null | import os
import unittest
from Logger import Logger
class TestLogger(unittest.TestCase):
def test_file_handling(self):
testLog = Logger("testLog")
## Check if program can create and open file
self.assertTrue(testLog.opened)
returns = testLog.close()
## Check if logger correc... | 31.988372 | 66 | 0.624137 | 332 | 2,751 | 5.129518 | 0.253012 | 0.167352 | 0.093952 | 0.126835 | 0.571345 | 0.496183 | 0.44451 | 0.44451 | 0.44451 | 0.44451 | 0 | 0.06213 | 0.262814 | 2,751 | 85 | 67 | 32.364706 | 0.777613 | 0.08615 | 0 | 0.349206 | 0 | 0 | 0.014818 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.047619 | false | 0 | 0.063492 | 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 |
a3b19235edf240100e043436d336caa4a2f88321 | 1,986 | py | Python | manga_py/parser.py | Abijithkrishna/manga-py | 03b142ecb944ef37a36e5095ffa580209021e3b0 | [
"MIT"
] | null | null | null | manga_py/parser.py | Abijithkrishna/manga-py | 03b142ecb944ef37a36e5095ffa580209021e3b0 | [
"MIT"
] | null | null | null | manga_py/parser.py | Abijithkrishna/manga-py | 03b142ecb944ef37a36e5095ffa580209021e3b0 | [
"MIT"
] | null | null | null | from logging import warning
from requests import get
from .info import Info
from .provider import Provider
from .providers import get_provider
class Parser:
def __init__(self, args: dict):
self.params = args
def init_provider(
self,
chapter_progress: callable = None,
... | 29.205882 | 74 | 0.618832 | 230 | 1,986 | 5.13913 | 0.282609 | 0.101523 | 0.063452 | 0.027073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.289023 | 1,986 | 67 | 75 | 29.641791 | 0.83711 | 0.019637 | 0 | 0 | 0 | 0 | 0.04632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.041667 | 0.104167 | 0 | 0.229167 | 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 |
a3b29bffdf2e36c45f804f1c4fc3a56bbdcb9b59 | 1,127 | py | Python | customers/views.py | sindhumadhadi09/CustomerMgmt | db8b27ad6ceb8050843dc33509dc2b6c2ed2c1e2 | [
"MIT"
] | null | null | null | customers/views.py | sindhumadhadi09/CustomerMgmt | db8b27ad6ceb8050843dc33509dc2b6c2ed2c1e2 | [
"MIT"
] | null | null | null | customers/views.py | sindhumadhadi09/CustomerMgmt | db8b27ad6ceb8050843dc33509dc2b6c2ed2c1e2 | [
"MIT"
] | null | null | null | from django.shortcuts import get_object_or_404, render
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.views import generic
from django.utils import timezone
from .models import Customer
class IndexView(generic.ListView):
template_name = 'customers/index.html'
context_... | 34.151515 | 59 | 0.759539 | 133 | 1,127 | 6.293233 | 0.413534 | 0.152927 | 0.050179 | 0.100358 | 0.112306 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003096 | 0.140195 | 1,127 | 33 | 60 | 34.151515 | 0.860681 | 0 | 0 | 0.074074 | 0 | 0 | 0.101064 | 0.018617 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0.037037 | 0.62963 | 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 |
a3b315d5551d6efa8a8b5d2f47e368467747b831 | 3,512 | py | Python | butterfree/configs/db/metastore_config.py | fossabot/butterfree | 8a7da8c540b51c6560b2825cb926c40a351f202b | [
"Apache-2.0"
] | null | null | null | butterfree/configs/db/metastore_config.py | fossabot/butterfree | 8a7da8c540b51c6560b2825cb926c40a351f202b | [
"Apache-2.0"
] | null | null | null | butterfree/configs/db/metastore_config.py | fossabot/butterfree | 8a7da8c540b51c6560b2825cb926c40a351f202b | [
"Apache-2.0"
] | null | null | null | """Holds configurations to read and write with Spark to AWS S3."""
import os
from typing import Any, Dict, List, Optional
from pyspark.sql import DataFrame
from butterfree.configs import environment
from butterfree.configs.db import AbstractWriteConfig
from butterfree.dataframe_service import extract_partition_value... | 29.024793 | 82 | 0.611902 | 419 | 3,512 | 4.988067 | 0.252983 | 0.057416 | 0.026316 | 0.030622 | 0.227751 | 0.156938 | 0.156938 | 0.108134 | 0.108134 | 0.108134 | 0 | 0.003199 | 0.28787 | 3,512 | 120 | 83 | 29.266667 | 0.832467 | 0.299829 | 0 | 0.065574 | 0 | 0 | 0.087168 | 0.066814 | 0 | 0 | 0 | 0 | 0 | 1 | 0.196721 | false | 0.016393 | 0.098361 | 0 | 0.409836 | 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 |
a3b384657bc7cd2ab9ee0a1d8b09ee80039ad894 | 2,401 | py | Python | examples/2-objects.py | johanngan/special_relativity | cd372c7460d2c0d4040c81bc1bd0090086dba735 | [
"MIT"
] | 4 | 2020-08-19T04:56:40.000Z | 2022-02-07T22:09:45.000Z | examples/2-objects.py | johanngan/special_relativity | cd372c7460d2c0d4040c81bc1bd0090086dba735 | [
"MIT"
] | null | null | null | examples/2-objects.py | johanngan/special_relativity | cd372c7460d2c0d4040c81bc1bd0090086dba735 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
sys.path.append('..')
import specrel.geom as geom
import specrel.spacetime.physical as phy
import specrel.visualize as vis
# Shared parameters
include_grid = True
include_legend = True
tlim = (0, 2)
xlim = (-2, 2)
# A stationary point object
stationary = phy.MovingObject(0, draw_opt... | 34.797101 | 77 | 0.7197 | 345 | 2,401 | 4.884058 | 0.226087 | 0.045697 | 0.035608 | 0.047478 | 0.489614 | 0.351335 | 0.28724 | 0.245697 | 0.245697 | 0.245697 | 0 | 0.022243 | 0.11995 | 2,401 | 68 | 78 | 35.308824 | 0.775201 | 0.217409 | 0 | 0.177778 | 0 | 0 | 0.195056 | 0.090274 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088889 | 0 | 0.088889 | 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 |
a3b4e8143896f099b74b0a3738681f49e357493f | 4,049 | py | Python | tests/sentry/auth/test_helper.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/auth/test_helper.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/auth/test_helper.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
from six.moves.urllib.parse import urlencode
from django.test import RequestFactory
from django.contrib.auth.models import AnonymousUser
from sentry.auth.helper import handle_new_user
from sentry.models import AuthProvider, InviteStatus, OrganizationMember
from sentry.testutils ... | 39.31068 | 100 | 0.674241 | 428 | 4,049 | 6.245327 | 0.245327 | 0.089787 | 0.115226 | 0.065095 | 0.615788 | 0.582117 | 0.532361 | 0.526375 | 0.356902 | 0.34119 | 0 | 0.005662 | 0.214868 | 4,049 | 102 | 101 | 39.696078 | 0.835168 | 0.032601 | 0 | 0.378378 | 0 | 0 | 0.085079 | 0.012775 | 0 | 0 | 0 | 0 | 0.094595 | 1 | 0.054054 | false | 0 | 0.108108 | 0 | 0.175676 | 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 |
a3b57d8c1a4088165ce4f67e6fb27850615f9653 | 4,583 | py | Python | density_model_torch_custom.py | piotrwinkler/breast_density_classifier | 4d47dd98bb0a839cea8b9aef242f5af5db84f06f | [
"BSD-2-Clause"
] | null | null | null | density_model_torch_custom.py | piotrwinkler/breast_density_classifier | 4d47dd98bb0a839cea8b9aef242f5af5db84f06f | [
"BSD-2-Clause"
] | null | null | null | density_model_torch_custom.py | piotrwinkler/breast_density_classifier | 4d47dd98bb0a839cea8b9aef242f5af5db84f06f | [
"BSD-2-Clause"
] | null | null | null | import argparse
import glob
import os
import numpy as np
import torch
from sklearn.metrics import accuracy_score
import models_torch as models
import utils
EXPERIMENT_DATA_DIR = "/tmp/mgr"
def inference(parameters, verbose=True) -> int:
# resolve device
device = torch.device(
"cuda:{}".format(par... | 37.565574 | 113 | 0.669212 | 598 | 4,583 | 4.867893 | 0.235786 | 0.041223 | 0.032978 | 0.034352 | 0.300584 | 0.261422 | 0.171075 | 0.068018 | 0.037788 | 0.037788 | 0 | 0.013005 | 0.194632 | 4,583 | 121 | 114 | 37.876033 | 0.775671 | 0.050622 | 0 | 0.02439 | 0 | 0 | 0.246056 | 0.072993 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012195 | false | 0 | 0.097561 | 0 | 0.121951 | 0.085366 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3b664d11a53af7fe489af747c1768858a1613a2 | 4,878 | py | Python | esmvaltool/diag_scripts/ensclus/ens_anom.py | yifatdzigan/ESMValTool | 83320b0e0b24ddde965599961bb80428e180a731 | [
"Apache-2.0"
] | 148 | 2017-02-07T13:16:03.000Z | 2022-03-26T02:21:56.000Z | esmvaltool/diag_scripts/ensclus/ens_anom.py | yifatdzigan/ESMValTool | 83320b0e0b24ddde965599961bb80428e180a731 | [
"Apache-2.0"
] | 2,026 | 2017-02-03T12:57:13.000Z | 2022-03-31T15:11:51.000Z | esmvaltool/diag_scripts/ensclus/ens_anom.py | yifatdzigan/ESMValTool | 83320b0e0b24ddde965599961bb80428e180a731 | [
"Apache-2.0"
] | 113 | 2017-01-27T13:10:19.000Z | 2022-02-03T13:42:11.000Z | """Computation of ensemble anomalies based on a desired value."""
import os
import numpy as np
from scipy import stats
# User-defined packages
from read_netcdf import read_iris, save_n_2d_fields
from sel_season_area import sel_area, sel_season
def ens_anom(filenames, dir_output, name_outputs, varname, numens, seaso... | 40.65 | 79 | 0.630381 | 673 | 4,878 | 4.419019 | 0.239227 | 0.026227 | 0.04035 | 0.022192 | 0.306994 | 0.274042 | 0.211836 | 0.13887 | 0.113988 | 0.081372 | 0 | 0.015059 | 0.264863 | 4,878 | 119 | 80 | 40.991597 | 0.814278 | 0.215047 | 0 | 0.168831 | 0 | 0 | 0.141572 | 0.006351 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012987 | false | 0 | 0.064935 | 0 | 0.090909 | 0.103896 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3b714ec9b000678e3e81df98484d9da903f0406 | 24,074 | py | Python | pytition/petition/models.py | Te-k/Pytition | 16ebce01b491b72ed387709d9b705f7cb0d5476f | [
"BSD-3-Clause"
] | null | null | null | pytition/petition/models.py | Te-k/Pytition | 16ebce01b491b72ed387709d9b705f7cb0d5476f | [
"BSD-3-Clause"
] | null | null | null | pytition/petition/models.py | Te-k/Pytition | 16ebce01b491b72ed387709d9b705f7cb0d5476f | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from django.utils.html import mark_safe, strip_tags
from django.utils.text import slugify
from django.utils.translation import ugettext as _
from django.utils.translation import ugettext_lazy
from django.core.exceptions import ValidationError
from django.db.models.signals import post_save, ... | 40.734349 | 124 | 0.662748 | 2,715 | 24,074 | 5.673665 | 0.108287 | 0.043236 | 0.040898 | 0.054531 | 0.610556 | 0.560439 | 0.481823 | 0.450597 | 0.407492 | 0.386783 | 0 | 0.008396 | 0.238058 | 24,074 | 590 | 125 | 40.80339 | 0.83138 | 0.015785 | 0 | 0.503106 | 0 | 0 | 0.057805 | 0.002998 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113872 | false | 0.008282 | 0.033126 | 0.05176 | 0.559006 | 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 |
a3b72847ef50516acce4d8d4114c3432f306c66d | 4,026 | py | Python | bin/socialhistory.py | JohnShullTopDev/generating-traning-data-for-healthcare-machine-learningcare- | d0ffb26e1b99204a796df905b50c8caf01417f69 | [
"Apache-2.0"
] | 1 | 2019-11-11T11:21:08.000Z | 2019-11-11T11:21:08.000Z | bin/socialhistory.py | JohnShullTopDev/generating-traning-data-for-healthcare-machine-learningcare- | d0ffb26e1b99204a796df905b50c8caf01417f69 | [
"Apache-2.0"
] | null | null | null | bin/socialhistory.py | JohnShullTopDev/generating-traning-data-for-healthcare-machine-learningcare- | d0ffb26e1b99204a796df905b50c8caf01417f69 | [
"Apache-2.0"
] | 1 | 2020-01-28T03:48:14.000Z | 2020-01-28T03:48:14.000Z | import csv
from testdata import SOCIALHISTORY_FILE
from testdata import rndDate
from patient import Patient
SMOKINGCODES = {
'428041000124106': 'Current some day smoker',
'266919005' : 'Never smoker',
'449868002' : 'Current every day smoker',
'266927001' : 'Unknown if ever smoked',
'... | 35.946429 | 92 | 0.435171 | 282 | 4,026 | 6.163121 | 0.478723 | 0.020138 | 0.034522 | 0.027618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030096 | 0.455291 | 4,026 | 111 | 93 | 36.27027 | 0.762426 | 0.076006 | 0 | 0.09375 | 0 | 0 | 0.233405 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.041667 | 0 | 0.104167 | 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 |
a3b9cafed89d7582e18fd4f82c78858c2882f5b3 | 1,453 | py | Python | lib/spack/spack/test/cache_fetch.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | lib/spack/spack/test/cache_fetch.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | lib/spack/spack/test/cache_fetch.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
import pytest
from llnl.util.filesystem import mkdirp, touch
import spack.config
from spack.fetch_strategy im... | 35.439024 | 76 | 0.705437 | 185 | 1,453 | 5.410811 | 0.432432 | 0.087912 | 0.041958 | 0.051948 | 0.333666 | 0.277722 | 0.277722 | 0.277722 | 0.277722 | 0.277722 | 0 | 0.009205 | 0.177564 | 1,453 | 40 | 77 | 36.325 | 0.828452 | 0.192017 | 0 | 0.307692 | 0 | 0 | 0.131034 | 0.064655 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.307692 | 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 |
a3bac2f51025032288427c9fc39e3497207cc25d | 2,201 | py | Python | temp_range_sql.py | hanhanwu/Hanhan-Spark-Python | a04c33100742acffa2ad11d1937ea05c44688427 | [
"MIT"
] | 45 | 2016-03-18T07:57:53.000Z | 2022-03-20T07:14:15.000Z | temp_range_sql.py | hanhanwu/Hanhan-Spark-Python | a04c33100742acffa2ad11d1937ea05c44688427 | [
"MIT"
] | null | null | null | temp_range_sql.py | hanhanwu/Hanhan-Spark-Python | a04c33100742acffa2ad11d1937ea05c44688427 | [
"MIT"
] | 16 | 2016-07-07T16:47:46.000Z | 2020-05-04T17:38:40.000Z | __author__ = 'hanhanw'
import sys
from pyspark import SparkConf, SparkContext
from pyspark.sql.context import SQLContext
from pyspark.sql.types import StructType, StructField, StringType, DoubleType
conf = SparkConf().setAppName("temp range sql")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
assert sc.ver... | 31.898551 | 117 | 0.698319 | 257 | 2,201 | 5.902724 | 0.342412 | 0.042189 | 0.037574 | 0.044825 | 0.096243 | 0.096243 | 0.096243 | 0.096243 | 0.096243 | 0 | 0 | 0.015292 | 0.168105 | 2,201 | 68 | 118 | 32.367647 | 0.813217 | 0 | 0 | 0.092593 | 0 | 0.018519 | 0.369378 | 0.023171 | 0 | 0 | 0 | 0 | 0.018519 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.12963 | 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 |
a3bca9436abafd191ec47379ebb1db10a4043237 | 11,326 | py | Python | desktop/core/ext-py/openpyxl-2.3.0-b2/openpyxl/drawing/shape.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 3 | 2018-01-29T14:16:02.000Z | 2019-02-05T21:33:05.000Z | desktop/core/ext-py/openpyxl-2.3.0-b2/openpyxl/drawing/shape.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 4 | 2021-03-11T04:02:00.000Z | 2022-03-27T08:31:56.000Z | desktop/core/ext-py/openpyxl-2.3.0-b2/openpyxl/drawing/shape.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 2 | 2019-12-05T17:24:36.000Z | 2021-11-22T21:21:32.000Z | from __future__ import absolute_import
# Copyright (c) 2010-2015 openpyxl
from openpyxl.styles.colors import Color, BLACK, WHITE
from openpyxl.utils.units import (
pixels_to_EMU,
EMU_to_pixels,
short_color,
)
from openpyxl.compat import deprecated
from openpyxl.xml.functions import Element, SubElement, t... | 27.160671 | 113 | 0.607099 | 1,124 | 11,326 | 5.922598 | 0.349644 | 0.060838 | 0.031546 | 0.014421 | 0.095088 | 0.075259 | 0.045666 | 0.017425 | 0.017425 | 0.017425 | 0 | 0.012571 | 0.269557 | 11,326 | 416 | 114 | 27.225962 | 0.792095 | 0.049002 | 0 | 0.056962 | 0 | 0 | 0.087689 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101266 | false | 0 | 0.044304 | 0.025316 | 0.253165 | 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 |
a3bd2daadf5e4d9e5163b4a0fc7578b8fb655779 | 3,118 | py | Python | scripts/VCF/FILTER/subset_vcf.py | elowy01/igsr_analysis | ffea4885227c2299f886a4f41e70b6e1f6bb43da | [
"Apache-2.0"
] | 3 | 2018-04-20T15:04:34.000Z | 2022-03-30T06:36:02.000Z | scripts/VCF/FILTER/subset_vcf.py | elowy01/igsr_analysis | ffea4885227c2299f886a4f41e70b6e1f6bb43da | [
"Apache-2.0"
] | 7 | 2019-06-06T09:22:20.000Z | 2021-11-23T17:41:52.000Z | scripts/VCF/FILTER/subset_vcf.py | elowy01/igsr_analysis | ffea4885227c2299f886a4f41e70b6e1f6bb43da | [
"Apache-2.0"
] | 5 | 2017-11-02T11:17:35.000Z | 2021-12-11T19:34:09.000Z |
from VcfQC import VcfQC
from ReseqTrackDB import File
from ReseqTrackDB import ReseqTrackDB
import argparse
import os
import logging
import datetime
#get command line arguments
parser = argparse.ArgumentParser(description='Script to subset a VCF by excluding the variants within the regions defined by a BED file')
... | 41.026316 | 275 | 0.735407 | 453 | 3,118 | 4.966887 | 0.335541 | 0.048 | 0.090667 | 0.084444 | 0.197333 | 0.115556 | 0.072889 | 0.042667 | 0.042667 | 0 | 0 | 0.001854 | 0.135022 | 3,118 | 75 | 276 | 41.573333 | 0.832406 | 0.037524 | 0 | 0 | 0 | 0.021277 | 0.310532 | 0.008466 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148936 | 0 | 0.148936 | 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 |
a3bef41781bb732a7cb06f991f90aba75666a0ca | 4,276 | py | Python | nova/tests/unit/conductor/tasks/test_migrate.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/conductor/tasks/test_migrate.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/conductor/tasks/test_migrate.py | badock/nova-tidb | 4c4591f2cd887fdc22828e12f0c297c051bbd912 | [
"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
# d... | 47.511111 | 79 | 0.667212 | 501 | 4,276 | 5.461078 | 0.313373 | 0.052266 | 0.027412 | 0.03655 | 0.118421 | 0.07383 | 0.054094 | 0.028509 | 0 | 0 | 0 | 0.002786 | 0.244621 | 4,276 | 89 | 80 | 48.044944 | 0.844272 | 0.127689 | 0 | 0.028986 | 0 | 0 | 0.051144 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 1 | 0.057971 | false | 0 | 0.144928 | 0.014493 | 0.231884 | 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 |
a3c289b2ddb7ec4ef9412f5ae94e7553200e0202 | 4,668 | py | Python | mojoco trivial/mujocoSim/UR5/simple_example/Mujoco_py_example.py | garlicbutter/Jonathan-Tom | c1696f0a94da46911b3566a3d4f49791e877373f | [
"MIT"
] | 2 | 2021-10-05T04:31:19.000Z | 2021-10-05T04:31:26.000Z | mojoco trivial/mujocoSim/UR5/simple_example/Mujoco_py_example.py | garlicbutter/Tom-Jonathan | c1696f0a94da46911b3566a3d4f49791e877373f | [
"MIT"
] | null | null | null | mojoco trivial/mujocoSim/UR5/simple_example/Mujoco_py_example.py | garlicbutter/Tom-Jonathan | c1696f0a94da46911b3566a3d4f49791e877373f | [
"MIT"
] | null | null | null | import numpy as np
import mujoco_py as mj
from mujoco_py_renderer import SimulationError, XMLError, MujocoPyRenderer
from mujoco_py import (MjSim, load_model_from_xml,functions,
load_model_from_path, MjSimState,
ignore_mujoco_warnings,
load_model_from... | 29.923077 | 105 | 0.610111 | 835 | 4,668 | 3.291018 | 0.201198 | 0.028384 | 0.016376 | 0.0131 | 0.356623 | 0.338428 | 0.268559 | 0.212518 | 0.1754 | 0.091703 | 0 | 0.071776 | 0.206084 | 4,668 | 156 | 106 | 29.923077 | 0.669725 | 0.1009 | 0 | 0.127273 | 0 | 0.127273 | 0.402296 | 0.005023 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054545 | 0 | 0.054545 | 0.036364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3c726cfaf4ab3b53d1df8bd6d6c24aef693e3ab | 5,066 | py | Python | fedml_api/standalone/federated_sgan/fedssgan_api.py | arj119/FedML | 5b7c098659f3e61f9e44583965300d8d0829f7a8 | [
"Apache-2.0"
] | null | null | null | fedml_api/standalone/federated_sgan/fedssgan_api.py | arj119/FedML | 5b7c098659f3e61f9e44583965300d8d0829f7a8 | [
"Apache-2.0"
] | null | null | null | fedml_api/standalone/federated_sgan/fedssgan_api.py | arj119/FedML | 5b7c098659f3e61f9e44583965300d8d0829f7a8 | [
"Apache-2.0"
] | null | null | null | import copy
import logging
import random
from typing import List, Tuple
import numpy as np
import torch
import wandb
from torch.utils.data import ConcatDataset
from fedml_api.standalone.fedavg.my_model_trainer import MyModelTrainer
from fedml_api.standalone.federated_sgan.ac_gan_model_trainer import ACGANModelTrainer... | 44.831858 | 129 | 0.627319 | 562 | 5,066 | 5.329181 | 0.238434 | 0.080134 | 0.028047 | 0.050083 | 0.23172 | 0.193656 | 0.116861 | 0.116861 | 0.036728 | 0.036728 | 0 | 0.001907 | 0.275365 | 5,066 | 112 | 130 | 45.232143 | 0.813947 | 0.250888 | 0 | 0.032258 | 0 | 0 | 0.074792 | 0.042238 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.209677 | 0 | 0.274194 | 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 |
a3c78b4ed55d10de069695bce6f3d899ee02cc99 | 20,932 | py | Python | pytorch-word2vec-master/csv.py | arjun-sai-krishnan/tamil-morpho-embeddings | a33bcb427d635dba3b1857f26ea7ab287e1a44c5 | [
"MIT"
] | 2 | 2021-04-11T18:25:16.000Z | 2022-03-16T03:48:52.000Z | pytorch-word2vec-master/csv.py | arjun-sai-krishnan/tamil-morpho-embeddings | a33bcb427d635dba3b1857f26ea7ab287e1a44c5 | [
"MIT"
] | null | null | null | pytorch-word2vec-master/csv.py | arjun-sai-krishnan/tamil-morpho-embeddings | a33bcb427d635dba3b1857f26ea7ab287e1a44c5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
from collections import Counter
import pdb
import pickle
import re
import sys
import time
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch import optim
import torch.nn.functional as F
import torch.multiprocessing as mp
import ... | 40.487427 | 250 | 0.591821 | 2,703 | 20,932 | 4.376619 | 0.128746 | 0.02967 | 0.038039 | 0.032122 | 0.471344 | 0.391801 | 0.352663 | 0.332798 | 0.295773 | 0.265596 | 0 | 0.01997 | 0.289509 | 20,932 | 516 | 251 | 40.565891 | 0.775484 | 0.089002 | 0 | 0.375321 | 0 | 0 | 0.066652 | 0.001184 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030848 | false | 0 | 0.041131 | 0 | 0.092545 | 0.03856 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3c8721ad82d9b0c4f4bbb5e4ea027824401f22d | 339 | py | Python | Ogrenciler/Varol/buyuksayi.py | ProEgitim/Python-Dersleri-BEM | b25e9fdb1fa3026925a46b2fcbcba348726b775c | [
"MIT"
] | 1 | 2021-04-18T17:35:22.000Z | 2021-04-18T17:35:22.000Z | Ogrenciler/Varol/buyuksayi.py | waroi/Python-Dersleri-BEM | b25e9fdb1fa3026925a46b2fcbcba348726b775c | [
"MIT"
] | null | null | null | Ogrenciler/Varol/buyuksayi.py | waroi/Python-Dersleri-BEM | b25e9fdb1fa3026925a46b2fcbcba348726b775c | [
"MIT"
] | 2 | 2021-04-18T18:22:26.000Z | 2021-04-24T17:16:19.000Z | sayi1 = int(input("1. Sayı: "))
sayi2 = int(input("2. Sayı: "))
sayi3 = int(input("3. Sayı: "))
sayi4 = int(input("4. Sayı: "))
sayi5 = int(input("5. Sayı: "))
sayilar=[];
sayilar.append(sayi1)
sayilar.append(sayi2)
sayilar.append(sayi3)
sayilar.append(sayi4)
sayilar.append(sayi5)
sayilar.sort()
print("En büyük sayimiz... | 21.1875 | 39 | 0.663717 | 49 | 339 | 4.591837 | 0.408163 | 0.177778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05298 | 0.109145 | 339 | 15 | 40 | 22.6 | 0.692053 | 0 | 0 | 0 | 0 | 0 | 0.186944 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3c959da81854ccd184aefdeb715f7df8413b8b8 | 8,899 | py | Python | baselines/deepq/build_graph_mfec.py | MouseHu/emdqn | ba907e959f21dd0b5a17117accccae9c82a79a3b | [
"MIT"
] | null | null | null | baselines/deepq/build_graph_mfec.py | MouseHu/emdqn | ba907e959f21dd0b5a17117accccae9c82a79a3b | [
"MIT"
] | null | null | null | baselines/deepq/build_graph_mfec.py | MouseHu/emdqn | ba907e959f21dd0b5a17117accccae9c82a79a3b | [
"MIT"
] | 1 | 2021-04-26T13:55:47.000Z | 2021-04-26T13:55:47.000Z | """Deep Q learning graph
The functions in this file can are used to create the following functions:
======= act ========
Function to chose an action given an observation
Parameters
----------
observation: object
Observation that can be feed into the output of make_obs_ph
stochastic: bool... | 42.37619 | 127 | 0.618047 | 1,213 | 8,899 | 4.329761 | 0.222589 | 0.015994 | 0.018279 | 0.021325 | 0.246002 | 0.201828 | 0.129665 | 0.098439 | 0.058454 | 0.058454 | 0 | 0.008969 | 0.298348 | 8,899 | 209 | 128 | 42.578947 | 0.832159 | 0.480616 | 0 | 0.097222 | 0 | 0 | 0.029527 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.041667 | 0 | 0.097222 | 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 |
a3cadf1c1469dc28d63f965c32ff3b98b7eb9d52 | 8,719 | py | Python | src/salgan_dhf1k/train_bce.py | juanjo3ns/SalGAN2 | ac52af743b94961cdb44c5d89774b72fc8acfd3e | [
"MIT"
] | null | null | null | src/salgan_dhf1k/train_bce.py | juanjo3ns/SalGAN2 | ac52af743b94961cdb44c5d89774b72fc8acfd3e | [
"MIT"
] | null | null | null | src/salgan_dhf1k/train_bce.py | juanjo3ns/SalGAN2 | ac52af743b94961cdb44c5d89774b72fc8acfd3e | [
"MIT"
] | null | null | null | import os
from dataloader.datasetDHF1K import DHF1K
from torch.utils.data import DataLoader
from utils.salgan_utils import save_model, get_lr_optimizer
from utils.sendTelegram import send
from utils.printer import param_print
from utils.salgan_generator import create_model, add_bn
from evaluation.fast_evaluation impor... | 31.139286 | 112 | 0.686661 | 1,222 | 8,719 | 4.738953 | 0.270049 | 0.014505 | 0.02642 | 0.012433 | 0.110862 | 0.093766 | 0.038335 | 0.026248 | 0.015887 | 0.015887 | 0 | 0.015247 | 0.165042 | 8,719 | 279 | 113 | 31.250896 | 0.78022 | 0.354972 | 0 | 0.029197 | 0 | 0 | 0.117913 | 0.019743 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014599 | false | 0 | 0.138686 | 0 | 0.167883 | 0.058394 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3cc11867421204e587bf63f6a7dd58a6716ea01 | 2,030 | py | Python | infapy/v3/agentService.py | infapy/infapy | 0cb11310130be70ce1b647aa5ede929c1eb9b2ce | [
"Apache-2.0"
] | null | null | null | infapy/v3/agentService.py | infapy/infapy | 0cb11310130be70ce1b647aa5ede929c1eb9b2ce | [
"Apache-2.0"
] | null | null | null | infapy/v3/agentService.py | infapy/infapy | 0cb11310130be70ce1b647aa5ede929c1eb9b2ce | [
"Apache-2.0"
] | 1 | 2021-09-23T10:31:56.000Z | 2021-09-23T10:31:56.000Z | # Copyright (c) 2021-Present (Prashanth Pradeep)
# 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... | 38.301887 | 120 | 0.634975 | 237 | 2,030 | 5.400844 | 0.50211 | 0.063281 | 0.040625 | 0.025 | 0.065625 | 0.065625 | 0.065625 | 0.065625 | 0.065625 | 0 | 0 | 0.013495 | 0.269951 | 2,030 | 53 | 121 | 38.301887 | 0.850202 | 0.279803 | 0 | 0.228571 | 0 | 0 | 0.146694 | 0.019972 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0.028571 | 0.085714 | 0 | 0.2 | 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 |
a3cd937793e2d0c588285b6a5f1e77f851ebcc85 | 5,703 | py | Python | home_application/views.py | pengwow/test-demo | 9d5c460b534d93d84f39ae24db82aa101027d199 | [
"Apache-2.0"
] | null | null | null | home_application/views.py | pengwow/test-demo | 9d5c460b534d93d84f39ae24db82aa101027d199 | [
"Apache-2.0"
] | 4 | 2020-02-12T01:47:04.000Z | 2021-06-10T21:34:36.000Z | home_application/views.py | pengwow/test-demo | 9d5c460b534d93d84f39ae24db82aa101027d199 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云(BlueKing) available.
Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obt... | 30.015789 | 115 | 0.627389 | 705 | 5,703 | 4.859574 | 0.303546 | 0.030356 | 0.016346 | 0.04028 | 0.227087 | 0.202277 | 0.159953 | 0.088733 | 0.060128 | 0.041448 | 0 | 0.007204 | 0.245485 | 5,703 | 189 | 116 | 30.174603 | 0.788984 | 0.162195 | 0 | 0.194915 | 0 | 0 | 0.146907 | 0.049613 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101695 | false | 0 | 0.059322 | 0.008475 | 0.262712 | 0.076271 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3cdf292bfc1d114fbf7d5d60cd7d8fcf12221e7 | 455 | py | Python | Chapter 6/09 - The built-in multiprocessing module/basic_multiprocessing.py | moseskim/Expert-Python-Programming-Fourth-Edition | 5160f974deb2365597b7be9cc032f24bfa13471a | [
"MIT"
] | null | null | null | Chapter 6/09 - The built-in multiprocessing module/basic_multiprocessing.py | moseskim/Expert-Python-Programming-Fourth-Edition | 5160f974deb2365597b7be9cc032f24bfa13471a | [
"MIT"
] | null | null | null | Chapter 6/09 - The built-in multiprocessing module/basic_multiprocessing.py | moseskim/Expert-Python-Programming-Fourth-Edition | 5160f974deb2365597b7be9cc032f24bfa13471a | [
"MIT"
] | null | null | null | """
"멀티프로세싱"절 예시
`multiprocessing` 모듈을 이용해 새로운 프로세스들을
생성하는 방법을 설명한다.
"""
from multiprocessing import Process
import os
def work(identifier):
print(f'Hey, I am the process ' f'{identifier}, pid: {os.getpid()}')
def main():
processes = [Process(target=work, args=(number,)) for number in range(5)]
for proc... | 18.2 | 77 | 0.650549 | 60 | 455 | 4.8 | 0.683333 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002778 | 0.208791 | 455 | 24 | 78 | 18.958333 | 0.797222 | 0.140659 | 0 | 0 | 0 | 0 | 0.16188 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.333333 | 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 |
a3ce427e7608fff21718948d99c9396b801b2425 | 670 | py | Python | sweeper/cloud/localhost/manager.py | dominoFire/sweeper | 26c5497b81c8d0c50671f8ab75c1cf5c4c8191c9 | [
"MIT"
] | null | null | null | sweeper/cloud/localhost/manager.py | dominoFire/sweeper | 26c5497b81c8d0c50671f8ab75c1cf5c4c8191c9 | [
"MIT"
] | null | null | null | sweeper/cloud/localhost/manager.py | dominoFire/sweeper | 26c5497b81c8d0c50671f8ab75c1cf5c4c8191c9 | [
"MIT"
] | null | null | null | __author__ = '@dominofire'
import os
from sweeper.cloud import resource_config_combinations
from sweeper.cloud.localhost import resource_config_factory as config_factory
from sweeper.resource import Resource
def possible_configs(num):
configs = config_factory.list_configs()
combs = resource_config_combinati... | 23.928571 | 77 | 0.773134 | 86 | 670 | 5.732558 | 0.465116 | 0.11359 | 0.064909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001742 | 0.143284 | 670 | 27 | 78 | 24.814815 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0.068657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.25 | 0 | 0.625 | 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 |
a3ced405166d997be98745f69fe1f51cd0fcd9c9 | 3,193 | py | Python | tfx/orchestration/experimental/core/service_jobs_test.py | BACtaki/tfx | 29db845200beccbb0ffa1e1e1a091e314a3a470f | [
"Apache-2.0"
] | 1,813 | 2019-02-04T17:17:30.000Z | 2022-03-29T13:39:30.000Z | tfx/orchestration/experimental/core/service_jobs_test.py | BACtaki/tfx | 29db845200beccbb0ffa1e1e1a091e314a3a470f | [
"Apache-2.0"
] | 2,710 | 2019-02-14T00:41:00.000Z | 2022-03-31T07:23:00.000Z | tfx/orchestration/experimental/core/service_jobs_test.py | BACtaki/tfx | 29db845200beccbb0ffa1e1e1a091e314a3a470f | [
"Apache-2.0"
] | 731 | 2019-02-04T17:59:18.000Z | 2022-03-31T06:45:51.000Z | # Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 46.275362 | 83 | 0.777639 | 427 | 3,193 | 5.435597 | 0.311475 | 0.048255 | 0.090478 | 0.108574 | 0.549763 | 0.479966 | 0.442051 | 0.442051 | 0.337785 | 0.17751 | 0 | 0.007249 | 0.135922 | 3,193 | 68 | 84 | 46.955882 | 0.833998 | 0.197307 | 0 | 0.266667 | 0 | 0 | 0.034578 | 0 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.088889 | false | 0 | 0.088889 | 0 | 0.2 | 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 |
a3d03f04854e2e542f97a3c9c4b2caeaa5e05045 | 17,041 | py | Python | dragonn/models.py | kundajelab/dragonn | 431e7c6b94a82972ac0fc3ef76d76e9ce8ba67fc | [
"MIT"
] | 251 | 2016-06-20T20:18:27.000Z | 2022-03-03T23:31:38.000Z | dragonn/models.py | kundajelab/dragonn | 431e7c6b94a82972ac0fc3ef76d76e9ce8ba67fc | [
"MIT"
] | 39 | 2016-07-01T20:40:59.000Z | 2022-02-09T23:30:24.000Z | dragonn/models.py | kundajelab/dragonn | 431e7c6b94a82972ac0fc3ef76d76e9ce8ba67fc | [
"MIT"
] | 89 | 2016-06-09T17:59:21.000Z | 2021-12-20T03:00:09.000Z | from __future__ import absolute_import, division, print_function
import matplotlib
import numpy as np
import os
import subprocess
import sys
import tempfile
matplotlib.use('pdf')
import matplotlib.pyplot as plt
from abc import abstractmethod, ABCMeta
from dragonn.metrics import ClassificationResult
from sklearn.svm imp... | 41.261501 | 101 | 0.607007 | 2,039 | 17,041 | 4.835213 | 0.192251 | 0.030125 | 0.019475 | 0.012172 | 0.311086 | 0.252865 | 0.19292 | 0.177097 | 0.140379 | 0.113602 | 0 | 0.012492 | 0.295347 | 17,041 | 412 | 102 | 41.36165 | 0.808544 | 0.072707 | 0 | 0.232919 | 0 | 0 | 0.050096 | 0.003135 | 0 | 0 | 0 | 0 | 0.006211 | 1 | 0.096273 | false | 0.012422 | 0.093168 | 0.015528 | 0.248447 | 0.040373 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d07703df62a187a4037e7b46931b65c218c987 | 3,921 | py | Python | dgt/inference/forward_inference.py | fractalego/dgt | 6781b9445d93c4a1680ab3d5636803c81062cc67 | [
"MIT"
] | 3 | 2021-07-26T02:07:15.000Z | 2021-12-21T22:36:15.000Z | dgt/inference/forward_inference.py | fractalego/dgt | 6781b9445d93c4a1680ab3d5636803c81062cc67 | [
"MIT"
] | null | null | null | dgt/inference/forward_inference.py | fractalego/dgt | 6781b9445d93c4a1680ab3d5636803c81062cc67 | [
"MIT"
] | null | null | null | import logging
import random
from dgt.graph.graph_matcher import GraphWeightedMatch
from dgt.utils import graph_iterations
_logger = logging.getLogger(__name__)
def find_weight_between(s, first, last):
try:
start = s.index(first) + len(first)
end = s.index(last, start)
return s[start:end... | 30.632813 | 95 | 0.579444 | 479 | 3,921 | 4.524008 | 0.263048 | 0.024919 | 0.020766 | 0.01569 | 0.118136 | 0.074758 | 0.057222 | 0.057222 | 0.057222 | 0.057222 | 0 | 0.005693 | 0.327978 | 3,921 | 127 | 96 | 30.874016 | 0.816698 | 0.040041 | 0 | 0.188119 | 0 | 0 | 0.0209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089109 | false | 0 | 0.049505 | 0.009901 | 0.287129 | 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 |
a3d0a689ffb0010c1b8ab3fafb0b2e1dd2c2562d | 1,528 | py | Python | serverPythonClient/client.py | ikekilinc/dnnSuperBinoculars | b0fc584b1d449961bdbab37cf9d72c0b466f197f | [
"MIT"
] | null | null | null | serverPythonClient/client.py | ikekilinc/dnnSuperBinoculars | b0fc584b1d449961bdbab37cf9d72c0b466f197f | [
"MIT"
] | null | null | null | serverPythonClient/client.py | ikekilinc/dnnSuperBinoculars | b0fc584b1d449961bdbab37cf9d72c0b466f197f | [
"MIT"
] | null | null | null | import argparse
import cv2
import common
# from .utils.cropAtCenter import cropImageCenter
# from cropAtCenter import cropImageCenter
from gabriel_client.websocket_client import WebsocketClient
from gabriel_client.opencv_adapter import OpencvAdapter
DEFAULT_SERVER_HOST = '128.2.212.50'
DEFAULT_ZOOM_FACTOR = 10
def ... | 25.898305 | 78 | 0.719241 | 193 | 1,528 | 5.440415 | 0.362694 | 0.052381 | 0.080952 | 0.038095 | 0.108571 | 0.108571 | 0.108571 | 0.108571 | 0 | 0 | 0 | 0.024564 | 0.174084 | 1,528 | 58 | 79 | 26.344828 | 0.807448 | 0.066099 | 0 | 0 | 0 | 0 | 0.042867 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.135135 | 0.027027 | 0.297297 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d10c9654ae4266e8db0dc3b63e312a5537bc75 | 719 | py | Python | src/DeepCard.API/batch.py | SharsDela/BankCardRecognize | ce80589bc5a5afaba2b97b1ccab35354fb99b548 | [
"Apache-2.0"
] | 7 | 2019-09-01T13:36:52.000Z | 2021-05-20T19:38:40.000Z | src/DeepCard.API/batch.py | SharsDela/BankCardRecognize | ce80589bc5a5afaba2b97b1ccab35354fb99b548 | [
"Apache-2.0"
] | 1 | 2019-09-01T13:37:50.000Z | 2020-09-18T10:35:20.000Z | src/DeepCard.API/batch.py | SharsDela/BankCardRecognize | ce80589bc5a5afaba2b97b1ccab35354fb99b548 | [
"Apache-2.0"
] | 2 | 2020-02-03T01:57:36.000Z | 2020-03-05T11:19:14.000Z | from api import get_result
import os
import shutil
from glob import glob
from PIL import Image
if __name__ == '__main__':
image_files = glob('./test_images/*.*')
result_dir = './test_results'
if os.path.exists(result_dir):
shutil.rmtree(result_dir)
os.mkdir(result_dir)
txt_file = os.path.j... | 28.76 | 82 | 0.623088 | 100 | 719 | 4.19 | 0.42 | 0.107399 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003604 | 0.228095 | 719 | 25 | 83 | 28.76 | 0.751351 | 0 | 0 | 0 | 0 | 0 | 0.105556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.238095 | 0 | 0.238095 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d15d48b5db9739108b6ecc4d1923cf6d0d654b | 4,106 | py | Python | CIM14/ENTSOE/Equipment/Core/Curve.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 58 | 2015-04-22T10:41:03.000Z | 2022-03-29T16:04:34.000Z | CIM14/ENTSOE/Equipment/Core/Curve.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 12 | 2015-08-26T03:57:23.000Z | 2020-12-11T20:14:42.000Z | CIM14/ENTSOE/Equipment/Core/Curve.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 35 | 2015-01-10T12:21:03.000Z | 2020-09-09T08:18:16.000Z | # Copyright (C) 2010-2011 Richard Lincoln
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish... | 52.641026 | 277 | 0.614467 | 574 | 4,106 | 4.355401 | 0.329268 | 0.0352 | 0.0176 | 0.0288 | 0.3312 | 0.3312 | 0.2976 | 0.2976 | 0.2384 | 0.2384 | 0 | 0.011057 | 0.207014 | 4,106 | 77 | 278 | 53.324675 | 0.756757 | 0.640039 | 0 | 0.066667 | 0 | 0 | 0.125804 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.033333 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d2324b7f134c8871f8f82a96cc6abc0a30b3ea | 2,432 | py | Python | fluent/syntax/errors.py | unclenachoduh/python-fluent | 1d15bdc94a37ecb488a80aefcdd37b8cb5535f73 | [
"Apache-2.0"
] | null | null | null | fluent/syntax/errors.py | unclenachoduh/python-fluent | 1d15bdc94a37ecb488a80aefcdd37b8cb5535f73 | [
"Apache-2.0"
] | null | null | null | fluent/syntax/errors.py | unclenachoduh/python-fluent | 1d15bdc94a37ecb488a80aefcdd37b8cb5535f73 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
class ParseError(Exception):
def __init__(self, code, *args):
self.code = code
self.args = args
self.message = get_error_message(code, args)
def get_error_message(code, args):
if code == 'E00001':
return 'Generic error'
if code == '... | 36.298507 | 76 | 0.60773 | 307 | 2,432 | 4.771987 | 0.374593 | 0.106485 | 0.045051 | 0.044369 | 0.238225 | 0.12628 | 0.094881 | 0 | 0 | 0 | 0 | 0.063356 | 0.279605 | 2,432 | 66 | 77 | 36.848485 | 0.772831 | 0 | 0 | 0.032258 | 0 | 0 | 0.441612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.016129 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d2e1e0e46f7f6e0817c75f138edaf65c103137 | 14,084 | py | Python | twitterinfrastructure/CH-Data-Public.py | jacob-heglund/socialsensing-jh | fd6d2d749f40fee46bee749ff868212bf117a747 | [
"BSD-2-Clause",
"MIT"
] | null | null | null | twitterinfrastructure/CH-Data-Public.py | jacob-heglund/socialsensing-jh | fd6d2d749f40fee46bee749ff868212bf117a747 | [
"BSD-2-Clause",
"MIT"
] | null | null | null | twitterinfrastructure/CH-Data-Public.py | jacob-heglund/socialsensing-jh | fd6d2d749f40fee46bee749ff868212bf117a747 | [
"BSD-2-Clause",
"MIT"
] | null | null | null | '''
Created on Mar 22, 2018
Edited on Jan 11, 2019
@author: npvance2
@author: curtisd2
Variables that will need to be edited/personalized:
monitorID in Variables() (line 27)
projectStartDate in Variables() (line 28)
projectEndDate in Variables() (line 29)
authToken in getAuthToken() (... | 47.103679 | 360 | 0.510934 | 1,266 | 14,084 | 5.64218 | 0.274092 | 0.01344 | 0.0238 | 0.01932 | 0.196556 | 0.196556 | 0.153437 | 0.153437 | 0.144197 | 0.131597 | 0 | 0.017683 | 0.389662 | 14,084 | 298 | 361 | 47.261745 | 0.813285 | 0.183187 | 0 | 0.218447 | 0 | 0 | 0.094766 | 0.017533 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033981 | false | 0 | 0.029126 | 0 | 0.092233 | 0.033981 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d3652391aca6bc7ecc488069329c58736eb71f | 1,286 | py | Python | roles/slurm/files/startnode.py | danhnguyen48/slurm-elastic-computing | 0793cf23677169a6d9dceea0793118bc00c0913e | [
"MIT"
] | null | null | null | roles/slurm/files/startnode.py | danhnguyen48/slurm-elastic-computing | 0793cf23677169a6d9dceea0793118bc00c0913e | [
"MIT"
] | null | null | null | roles/slurm/files/startnode.py | danhnguyen48/slurm-elastic-computing | 0793cf23677169a6d9dceea0793118bc00c0913e | [
"MIT"
] | null | null | null | #! /opt/cloud_sdk/bin/python
import asyncio
import logging
import subprocess
import sys
import citc_cloud
def handle_exception(exc_type, exc_value, exc_traceback):
if issubclass(exc_type, KeyboardInterrupt):
sys.__excepthook__(exc_type, exc_value, exc_traceback)
return
log.critical("Uncaugh... | 26.244898 | 122 | 0.694401 | 162 | 1,286 | 5.259259 | 0.530864 | 0.032864 | 0.035211 | 0.052817 | 0.09507 | 0.09507 | 0 | 0 | 0 | 0 | 0 | 0.003795 | 0.180404 | 1,286 | 48 | 123 | 26.791667 | 0.804554 | 0.020995 | 0 | 0 | 0 | 0 | 0.130366 | 0.04531 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.151515 | 0 | 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 |
a3d474d2b653dcd5a9578ce3979ff7a04e191213 | 2,300 | py | Python | tests/pyre/components/component_class_registration_model.py | BryanRiel/pyre | 179359634a7091979cced427b6133dd0ec4726ea | [
"BSD-3-Clause"
] | null | null | null | tests/pyre/components/component_class_registration_model.py | BryanRiel/pyre | 179359634a7091979cced427b6133dd0ec4726ea | [
"BSD-3-Clause"
] | null | null | null | tests/pyre/components/component_class_registration_model.py | BryanRiel/pyre | 179359634a7091979cced427b6133dd0ec4726ea | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# michael a.g. aïvázis
# orthologue
# (c) 1998-2018 all rights reserved
#
"""
Verify that component registration interacts correctly with the pyre configurator model
"""
# access
# print(" -- importing pyre")
import pyre
# print(" -- done")
def declare():
# dec... | 22.772277 | 87 | 0.59913 | 283 | 2,300 | 4.837456 | 0.367491 | 0.021914 | 0.049671 | 0.027757 | 0.090577 | 0.056976 | 0.056976 | 0.056976 | 0 | 0 | 0 | 0.02472 | 0.261304 | 2,300 | 100 | 88 | 23 | 0.781048 | 0.37913 | 0 | 0.114286 | 0 | 0 | 0.091508 | 0 | 0 | 0 | 0 | 0 | 0.257143 | 1 | 0.114286 | false | 0 | 0.028571 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d571f1fc3a63903055bc9efe42eada3f2c5310 | 3,699 | py | Python | apps/ignite/views.py | Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803 | 4e374b4d52dfb9039ebe543e7f27682189022307 | [
"BSD-3-Clause"
] | 2 | 2015-04-06T15:20:29.000Z | 2016-12-30T12:25:11.000Z | apps/ignite/views.py | Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803 | 4e374b4d52dfb9039ebe543e7f27682189022307 | [
"BSD-3-Clause"
] | 2 | 2019-02-17T17:38:02.000Z | 2019-03-28T03:49:16.000Z | apps/ignite/views.py | Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803 | 4e374b4d52dfb9039ebe543e7f27682189022307 | [
"BSD-3-Clause"
] | 1 | 2019-03-28T03:49:18.000Z | 2019-03-28T03:49:18.000Z | from django.shortcuts import get_object_or_404
import jingo
import waffle
from django.contrib.auth.models import User
from challenges.models import Submission, Category
from projects.models import Project
from blogs.models import BlogEntry
from events.models import Event
def splash(request, project, slug, template_n... | 36.99 | 104 | 0.638821 | 412 | 3,699 | 5.550971 | 0.262136 | 0.0892 | 0.07477 | 0.083953 | 0.40927 | 0.377787 | 0.314823 | 0.314823 | 0.17359 | 0.17359 | 0 | 0.010842 | 0.25196 | 3,699 | 99 | 105 | 37.363636 | 0.815685 | 0.072182 | 0 | 0.260274 | 0 | 0 | 0.121887 | 0.04981 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109589 | false | 0 | 0.109589 | 0.054795 | 0.328767 | 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 |
a3d6b9ef2efd18b552dbe05895fafd84b7430c25 | 17,209 | py | Python | bdlb/diabetic_retinopathy_diagnosis/benchmark.py | Sairam954/bdl-benchmarks | 6fbc855ca51403ad8f64b6be30ed92f6118c6cae | [
"Apache-2.0"
] | 666 | 2019-06-14T17:14:05.000Z | 2022-03-24T10:48:47.000Z | bdlb/diabetic_retinopathy_diagnosis/benchmark.py | Sairam954/bdl-benchmarks | 6fbc855ca51403ad8f64b6be30ed92f6118c6cae | [
"Apache-2.0"
] | 12 | 2019-06-26T16:54:14.000Z | 2020-08-18T13:16:01.000Z | bdlb/diabetic_retinopathy_diagnosis/benchmark.py | Sairam954/bdl-benchmarks | 6fbc855ca51403ad8f64b6be30ed92f6118c6cae | [
"Apache-2.0"
] | 97 | 2019-06-14T20:30:39.000Z | 2022-02-05T08:33:49.000Z | # Copyright 2019 BDL Benchmarks Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 34.625755 | 92 | 0.658609 | 2,048 | 17,209 | 5.381836 | 0.249512 | 0.013972 | 0.027944 | 0.023226 | 0.24814 | 0.191163 | 0.155416 | 0.145255 | 0.111958 | 0.105244 | 0 | 0.012101 | 0.236504 | 17,209 | 496 | 93 | 34.695565 | 0.826775 | 0.316404 | 0 | 0.232082 | 0 | 0 | 0.079319 | 0.019764 | 0 | 0 | 0 | 0.004032 | 0.010239 | 1 | 0.068259 | false | 0 | 0.139932 | 0 | 0.269625 | 0.003413 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d75ce424bf88d4d06c99b804df0f846b952cac | 1,873 | py | Python | vivisect/storage/mpfile.py | vEpiphyte/vivisect | 14947a53c6781175f0aa83d49cc16c524a2e23a3 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | vivisect/storage/mpfile.py | vEpiphyte/vivisect | 14947a53c6781175f0aa83d49cc16c524a2e23a3 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | vivisect/storage/mpfile.py | vEpiphyte/vivisect | 14947a53c6781175f0aa83d49cc16c524a2e23a3 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import base64
import logging
import msgpack
logger = logging.getLogger(__name__)
loadargs = {'use_list': False, 'raw': False}
if msgpack.version < (1, 0, 0):
loadargs['encoding'] = 'utf-8'
else:
loadargs['strict_map_key'] = False
VSIG = b'MSGVIV'.ljust(8, b'\x00')
def vivEventsAppendFile(filename, events)... | 28.815385 | 81 | 0.599573 | 233 | 1,873 | 4.763949 | 0.313305 | 0.064865 | 0.037838 | 0.059459 | 0.373874 | 0.278378 | 0.26036 | 0.26036 | 0.26036 | 0.26036 | 0 | 0.041667 | 0.256807 | 1,873 | 64 | 82 | 29.265625 | 0.755747 | 0 | 0 | 0.25 | 0 | 0 | 0.04645 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.083333 | 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 |
a3d771361889efe007b26f62c7cd92ffc6f656a2 | 3,832 | py | Python | pytest_pgsql/plugin.py | mathiasose/pytest-pgsql | 5e076db146699c3b683b49e4a31323c4c23054de | [
"BSD-3-Clause"
] | null | null | null | pytest_pgsql/plugin.py | mathiasose/pytest-pgsql | 5e076db146699c3b683b49e4a31323c4c23054de | [
"BSD-3-Clause"
] | null | null | null | pytest_pgsql/plugin.py | mathiasose/pytest-pgsql | 5e076db146699c3b683b49e4a31323c4c23054de | [
"BSD-3-Clause"
] | null | null | null | """This forms the core of the pytest plugin."""
import pytest
import testing.postgresql
from pytest_pgsql import database
from pytest_pgsql import ext
def pytest_addoption(parser):
"""Add configuration options for pytest_pgsql."""
parser.addoption(
'--pg-extensions', action='store', default='',
... | 35.813084 | 85 | 0.675626 | 497 | 3,832 | 5.090543 | 0.420523 | 0.035968 | 0.022134 | 0.016601 | 0.0917 | 0.045059 | 0 | 0 | 0 | 0 | 0 | 0.004749 | 0.230689 | 3,832 | 106 | 86 | 36.150943 | 0.85346 | 0.378914 | 0 | 0.137255 | 0 | 0 | 0.326998 | 0.057883 | 0.019608 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.078431 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d816c8c07445ebc9580d3703129a46fcf2cc64 | 737 | py | Python | power_data_to_sat_passes/date_utils.py | abrahamneben/orbcomm_beam_mapping | 71b3e7d6e4214db0a6f4e68ebeeb7d7f846f5004 | [
"MIT"
] | 1 | 2019-04-10T02:50:19.000Z | 2019-04-10T02:50:19.000Z | power_data_to_sat_passes/date_utils.py | abrahamneben/orbcomm_beam_mapping | 71b3e7d6e4214db0a6f4e68ebeeb7d7f846f5004 | [
"MIT"
] | null | null | null | power_data_to_sat_passes/date_utils.py | abrahamneben/orbcomm_beam_mapping | 71b3e7d6e4214db0a6f4e68ebeeb7d7f846f5004 | [
"MIT"
] | null | null | null | # written by abraham on aug 24
def dyear2date(dyear):
year = int(dyear)
month_lengths = [31,28,31,30,31,30,31,31,30,31,30,31]
days_before_months = [0,31,59,90,120,151,181,212,243,273,304,334]
days_into_year_f = (dyear-year)*365
days_into_year_i = int(days_into_year_f)
for i in range(12):
if days_before_mo... | 27.296296 | 89 | 0.72863 | 144 | 737 | 3.416667 | 0.340278 | 0.113821 | 0.170732 | 0.105691 | 0.109756 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125581 | 0.12483 | 737 | 26 | 90 | 28.346154 | 0.637209 | 0.037992 | 0 | 0 | 0 | 0 | 0.03819 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0 | 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 |
a3d8391391013bac7dd77afd2eebf78925078f05 | 752 | py | Python | app/base/count_lines.py | sourcery-ai-bot/personal-expenses-accounting | 55e76744a06fd502d119f57427cd7a0bfaf68fe1 | [
"MIT"
] | 5 | 2020-02-21T16:26:21.000Z | 2021-08-05T09:34:28.000Z | app/base/count_lines.py | sourcery-ai-bot/personal-expenses-accounting | 55e76744a06fd502d119f57427cd7a0bfaf68fe1 | [
"MIT"
] | 11 | 2020-06-26T09:05:04.000Z | 2022-01-24T20:35:07.000Z | app/base/count_lines.py | sourcery-ai-bot/personal-expenses-accounting | 55e76744a06fd502d119f57427cd7a0bfaf68fe1 | [
"MIT"
] | 1 | 2021-06-25T09:42:08.000Z | 2021-06-25T09:42:08.000Z | import glob
from os import walk
exclude_folders = [
'node_modules',
'ios',
'android',
'__pycache__'
]
exclude_files = [
'json',
'txt',
'traineddata',
'lstmf',
'yml',
'md'
'log',
'env',
'gitignore',
'dockerignore'
]
# get all files in directory
dirr = '/home/vik... | 19.282051 | 86 | 0.625 | 87 | 752 | 5.264368 | 0.678161 | 0.061135 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003448 | 0.228723 | 752 | 38 | 87 | 19.789474 | 0.786207 | 0.139628 | 0 | 0 | 0 | 0 | 0.265941 | 0.119751 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068966 | 0 | 0.068966 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d89936d8b1b9966571e7248379800a7bb8190c | 17,617 | py | Python | charmhelpers/contrib/charmsupport/nrpe.py | nobuto-m/charm-helpers | 4cffc05ace43234d34b040cccdde3460f68cb673 | [
"Apache-2.0"
] | null | null | null | charmhelpers/contrib/charmsupport/nrpe.py | nobuto-m/charm-helpers | 4cffc05ace43234d34b040cccdde3460f68cb673 | [
"Apache-2.0"
] | 1 | 2019-09-04T12:17:17.000Z | 2019-09-04T12:17:17.000Z | charmhelpers/contrib/charmsupport/nrpe.py | nobuto-m/charm-helpers | 4cffc05ace43234d34b040cccdde3460f68cb673 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014-2015 Canonical Limited.
#
# 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 ... | 36.174538 | 90 | 0.605097 | 2,077 | 17,617 | 4.959557 | 0.198844 | 0.012232 | 0.022716 | 0.009708 | 0.238423 | 0.187263 | 0.132414 | 0.09999 | 0.085234 | 0.085234 | 0 | 0.00391 | 0.288698 | 17,617 | 486 | 91 | 36.248971 | 0.818131 | 0.273656 | 0 | 0.144876 | 0 | 0 | 0.162476 | 0.030061 | 0.003534 | 0 | 0 | 0 | 0 | 1 | 0.067138 | false | 0.007067 | 0.042403 | 0.007067 | 0.173145 | 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 |
a3d9e6ada4265efd73113dc71c68649cc06c25fa | 13,250 | py | Python | venv/Lib/site-packages/proglog/proglog.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | 83 | 2017-08-14T02:20:38.000Z | 2022-03-01T20:32:03.000Z | venv/lib/python3.7/site-packages/proglog/proglog.py | haideraltahan/CropMe | 75a111b9d3b2c50c6f2a9a36d21432053f02284d | [
"MIT"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | venv/lib/python3.7/site-packages/proglog/proglog.py | haideraltahan/CropMe | 75a111b9d3b2c50c6f2a9a36d21432053f02284d | [
"MIT"
] | 6 | 2018-10-23T08:12:26.000Z | 2021-02-14T13:53:13.000Z | """Implements the generic progress logger class, and the ProgressBar class.
"""
from tqdm import tqdm, tqdm_notebook
from collections import OrderedDict
import time
SETTINGS = {
'notebook': False
}
def notebook(turn='on'):
SETTINGS['notebook'] = True if (turn == 'on') else False
def troncate_string(s, max_l... | 33.80102 | 79 | 0.568981 | 1,615 | 13,250 | 4.496594 | 0.15418 | 0.030295 | 0.026852 | 0.01859 | 0.411595 | 0.374552 | 0.306252 | 0.263839 | 0.241807 | 0.221427 | 0 | 0.003911 | 0.324528 | 13,250 | 391 | 80 | 33.887468 | 0.807486 | 0.260075 | 0 | 0.219731 | 0 | 0 | 0.033269 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130045 | false | 0.013453 | 0.013453 | 0.008969 | 0.246637 | 0.017937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3d9f04c9618b248a5e94c0c7319362fccd10a9f | 665 | py | Python | gdsfactory/tests/test_component_from_yaml_bezier.py | jorgepadilla19/gdsfactory | 68e1c18257a75d4418279851baea417c8899a165 | [
"MIT"
] | 42 | 2020-05-25T09:33:45.000Z | 2022-03-29T03:41:19.000Z | gdsfactory/tests/test_component_from_yaml_bezier.py | jorgepadilla19/gdsfactory | 68e1c18257a75d4418279851baea417c8899a165 | [
"MIT"
] | 133 | 2020-05-28T18:29:04.000Z | 2022-03-31T22:21:42.000Z | gdsfactory/tests/test_component_from_yaml_bezier.py | jorgepadilla19/gdsfactory | 68e1c18257a75d4418279851baea417c8899a165 | [
"MIT"
] | 17 | 2020-06-30T07:07:50.000Z | 2022-03-17T15:45:27.000Z | import gdsfactory as gf
from gdsfactory.component import Component
yaml = """
name:
test_component_yaml_without_cell
instances:
mmi:
component: mmi1x2
bend:
component: bend_s
connections:
bend,o1: mmi,o2
"""
def test_component_from_yaml_without_cell() -> Component:
"""bezier does n... | 20.151515 | 68 | 0.682707 | 93 | 665 | 4.55914 | 0.408602 | 0.122642 | 0.141509 | 0.099057 | 0.301887 | 0.301887 | 0 | 0 | 0 | 0 | 0 | 0.011299 | 0.201504 | 665 | 32 | 69 | 20.78125 | 0.787194 | 0.037594 | 0 | 0 | 0 | 0 | 0.312303 | 0.100946 | 0 | 0 | 0 | 0 | 0.130435 | 1 | 0.043478 | false | 0 | 0.086957 | 0 | 0.173913 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3db4ad6c588be26e30297068925d6bff9a900d1 | 5,616 | py | Python | Tests/Methods/Machine/test_Magnet_Type_11_meth.py | Superomeg4/pyleecan | 2b695b5f39e77475a07aa0ea89489fb0a9659337 | [
"Apache-2.0"
] | 2 | 2020-06-29T13:48:37.000Z | 2021-06-15T07:34:05.000Z | Tests/Methods/Machine/test_Magnet_Type_11_meth.py | Superomeg4/pyleecan | 2b695b5f39e77475a07aa0ea89489fb0a9659337 | [
"Apache-2.0"
] | null | null | null | Tests/Methods/Machine/test_Magnet_Type_11_meth.py | Superomeg4/pyleecan | 2b695b5f39e77475a07aa0ea89489fb0a9659337 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@date Created on Thu Dec 18 13:56:33 2014
@copyright (C) 2014-2015 EOMYS ENGINEERING.
@author pierre_b
"""
from unittest import TestCase
from ddt import ddt, data
from pyleecan.Classes.Arc1 import Arc1
from pyleecan.Classes.Segment import Segment
from pyleecan.Classes.MagnetType11 import... | 33.035294 | 87 | 0.579238 | 821 | 5,616 | 3.848965 | 0.177832 | 0.037658 | 0.055696 | 0.058228 | 0.704747 | 0.652532 | 0.631962 | 0.612342 | 0.601899 | 0.551266 | 0 | 0.069008 | 0.274929 | 5,616 | 169 | 88 | 33.230769 | 0.707024 | 0.108974 | 0 | 0.551724 | 0 | 0 | 0.034295 | 0 | 0 | 0 | 0 | 0 | 0.068966 | 1 | 0.043103 | false | 0 | 0.077586 | 0 | 0.12931 | 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 |
a3db7f4c59462c81c92a9534466aa08adc11bb16 | 4,600 | py | Python | tomo_encoders/tasks/void_mapping.py | arshadzahangirchowdhury/TomoEncoders | 9c2b15fd515d864079f198546821faee5d78df17 | [
"BSD-3-Clause"
] | null | null | null | tomo_encoders/tasks/void_mapping.py | arshadzahangirchowdhury/TomoEncoders | 9c2b15fd515d864079f198546821faee5d78df17 | [
"BSD-3-Clause"
] | null | null | null | tomo_encoders/tasks/void_mapping.py | arshadzahangirchowdhury/TomoEncoders | 9c2b15fd515d864079f198546821faee5d78df17 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
"""
from operator import mod
from tomo_encoders.misc.voxel_processing import modified_autocontrast, TimerGPU
from tomo_encoders.reconstruction.recon import recon_patches_3d
import cupy as cp
import numpy as np
from skimage.filters import threshold_otsu
from tomo_en... | 35.384615 | 122 | 0.62087 | 728 | 4,600 | 3.721154 | 0.273352 | 0.038391 | 0.017719 | 0.017719 | 0.370986 | 0.331857 | 0.294943 | 0.294943 | 0.294943 | 0.282392 | 0 | 0.032773 | 0.223913 | 4,600 | 129 | 123 | 35.658915 | 0.72605 | 0.186739 | 0 | 0.219512 | 0 | 0 | 0.087591 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 1 | 0.073171 | false | 0 | 0.085366 | 0 | 0.243902 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3dd7fa87a5a13e38a56d66d0de7938491e30d3e | 793 | py | Python | TuShare/view/sh_margins.py | lwh2015/TuShare | f244e05e5cf208e18e6237d3b81f71f0d3c1394a | [
"MIT"
] | 1 | 2018-09-26T08:34:02.000Z | 2018-09-26T08:34:02.000Z | TuShare/view/sh_margins.py | lwh2015/TuShare | f244e05e5cf208e18e6237d3b81f71f0d3c1394a | [
"MIT"
] | null | null | null | TuShare/view/sh_margins.py | lwh2015/TuShare | f244e05e5cf208e18e6237d3b81f71f0d3c1394a | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
import json
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
import tushare as ts
from .publiceClass import DateEncoder
@csrf_exempt
def sh_margins(request):
try:
start = request.POST.get('start','')#选填
end = request.POST.get('end','... | 26.433333 | 76 | 0.596469 | 88 | 793 | 5.318182 | 0.568182 | 0.042735 | 0.059829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001712 | 0.263556 | 793 | 29 | 77 | 27.344828 | 0.799658 | 0.031526 | 0 | 0 | 0 | 0 | 0.124509 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.208333 | 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 |
a3de1f30f9f2a9d6efbf703fb8df76e65a62d871 | 1,181 | py | Python | intermediate/classes/camera.py | robertob45/learning-python | 7407f7d9e513792150eb2b65ebc644b5f8632c56 | [
"MIT"
] | null | null | null | intermediate/classes/camera.py | robertob45/learning-python | 7407f7d9e513792150eb2b65ebc644b5f8632c56 | [
"MIT"
] | null | null | null | intermediate/classes/camera.py | robertob45/learning-python | 7407f7d9e513792150eb2b65ebc644b5f8632c56 | [
"MIT"
] | null | null | null | class Camera:
"""docstring for ."""
def __init__(self, brand, sensor, lens, battery):
self.brand = brand
self.sensor = sensor
self.lens = lens
self.battery = battery
def __str__(self):
return self.brand + ' ' + self.sensor + ' ' + self.lens + ' ' + self.battery
... | 27.465116 | 84 | 0.531753 | 132 | 1,181 | 4.606061 | 0.363636 | 0.115132 | 0.049342 | 0.055921 | 0.075658 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.329382 | 1,181 | 42 | 85 | 28.119048 | 0.767677 | 0.012701 | 0 | 0.257143 | 0 | 0 | 0.157759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0.028571 | 0.257143 | 0.371429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3de3ec0c21d41a610e2d90e04c28f83ca0ba4c2 | 7,332 | py | Python | dbaas/tsuru/tests/test_service_add.py | didindinn/database-as-a-service | 747de31ff8546f7874ddd654af860e130afd17a0 | [
"BSD-3-Clause"
] | null | null | null | dbaas/tsuru/tests/test_service_add.py | didindinn/database-as-a-service | 747de31ff8546f7874ddd654af860e130afd17a0 | [
"BSD-3-Clause"
] | null | null | null | dbaas/tsuru/tests/test_service_add.py | didindinn/database-as-a-service | 747de31ff8546f7874ddd654af860e130afd17a0 | [
"BSD-3-Clause"
] | null | null | null | from mock import patch, MagicMock
from django.contrib.auth.models import User
from django.test import TestCase
from django.core.urlresolvers import reverse
from django.utils.datastructures import MultiValueDictKeyError
from account.models import Role, Team, Organization
from physical.tests.factory import EnvironmentF... | 30.17284 | 76 | 0.524686 | 740 | 7,332 | 5.048649 | 0.187838 | 0.038544 | 0.052463 | 0.067452 | 0.492773 | 0.466542 | 0.422109 | 0.414079 | 0.401231 | 0.390257 | 0 | 0.004723 | 0.364703 | 7,332 | 242 | 77 | 30.297521 | 0.797338 | 0.011457 | 0 | 0.419355 | 0 | 0 | 0.152006 | 0.035685 | 0 | 0 | 0 | 0 | 0.082949 | 1 | 0.078341 | false | 0.013825 | 0.036866 | 0 | 0.129032 | 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 |
a3e06ae8cd6e0aabca5915c1a17ae312a2a03a30 | 734 | py | Python | gryphon/data/template_scaffolding/template/setup.py | ow-gryphon/gryphon | 0b34f2f61a50af46b9d1ec1d3c15d53cf4055dd5 | [
"MIT"
] | null | null | null | gryphon/data/template_scaffolding/template/setup.py | ow-gryphon/gryphon | 0b34f2f61a50af46b9d1ec1d3c15d53cf4055dd5 | [
"MIT"
] | 1 | 2022-03-08T14:54:26.000Z | 2022-03-08T15:02:52.000Z | gryphon/data/template_scaffolding/template/setup.py | ow-gryphon/gryphon | 0b34f2f61a50af46b9d1ec1d3c15d53cf4055dd5 | [
"MIT"
] | null | null | null | import json
import setuptools
with open("template/README.md", "r") as fh:
long_description = fh.read()
with open('requirements.txt') as fr:
requirements = fr.read().strip().split('\n')
with open('metadata.json') as fr:
metadata = json.load(fr)
setuptools.setup(
name="", # Name of the repository
... | 28.230769 | 59 | 0.688011 | 91 | 734 | 5.428571 | 0.538462 | 0.121457 | 0.157895 | 0.121457 | 0.11336 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008091 | 0.158038 | 734 | 25 | 60 | 29.36 | 0.791262 | 0.091281 | 0 | 0 | 0 | 0 | 0.153614 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.095238 | 0 | 0.095238 | 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 |
a3e0ad9312af3accd64fc327daefc5bf89405ae4 | 6,558 | py | Python | train_base3.py | Mhaiyang/iccv | 04a8ee52c2323d7ff5cdf03c0be1466e8180d2eb | [
"MIT"
] | 2 | 2019-01-10T03:44:03.000Z | 2019-05-24T08:50:14.000Z | train_base3.py | Mhaiyang/iccv | 04a8ee52c2323d7ff5cdf03c0be1466e8180d2eb | [
"MIT"
] | null | null | null | train_base3.py | Mhaiyang/iccv | 04a8ee52c2323d7ff5cdf03c0be1466e8180d2eb | [
"MIT"
] | null | null | null | """
@Time : 201/21/19 10:41
@Author : TaylorMei
@Email : mhy845879017@gmail.com
@Project : iccv
@File : train_base3.py
@Function:
"""
import datetime
import os
import torch
from torch import nn
from torch import optim
from torch.autograd import Variable
from torch.backends import cudnn
from torch.ut... | 34.15625 | 119 | 0.617261 | 894 | 6,558 | 4.281879 | 0.223714 | 0.025862 | 0.023772 | 0.021944 | 0.207158 | 0.1779 | 0.142633 | 0.129572 | 0.11442 | 0.11442 | 0 | 0.030975 | 0.236962 | 6,558 | 191 | 120 | 34.335079 | 0.734013 | 0.03004 | 0 | 0.105634 | 0 | 0.007042 | 0.106135 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014085 | false | 0 | 0.126761 | 0 | 0.147887 | 0.056338 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3e11b8d66ab1bd3a621bca6d89f7a077e4198d7 | 3,584 | py | Python | teacher/views.py | itteamforslp/safelife_project | 53af23dec0d19acf7227a43a16d7aedad443e90d | [
"MIT"
] | null | null | null | teacher/views.py | itteamforslp/safelife_project | 53af23dec0d19acf7227a43a16d7aedad443e90d | [
"MIT"
] | 4 | 2021-04-08T20:11:37.000Z | 2021-09-22T19:37:57.000Z | safelife/safelife_project/teacher/views.py | CSUS-Scrumbags/safelife | 2de7f83f637fae930b1176af796f4cc6f0519c86 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from django.template import loader
from django.db import connection
from django.http import HttpResponseRedirect
import datetime
from dj... | 44.8 | 154 | 0.595145 | 402 | 3,584 | 5.131841 | 0.278607 | 0.058168 | 0.024237 | 0.034901 | 0.239457 | 0.191953 | 0.171595 | 0.151721 | 0.128938 | 0.128938 | 0 | 0.000412 | 0.323382 | 3,584 | 79 | 155 | 45.367089 | 0.850309 | 0.054688 | 0 | 0.1 | 0 | 0.016667 | 0.237363 | 0.025717 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.183333 | 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 |
a3e2215b6ec560d3033ce187558d53690b59cd03 | 33,955 | py | Python | pywikibot/site/_datasite.py | xqt/pwb | 9a4fe27138f32952e533256195849d05855df0b0 | [
"MIT"
] | null | null | null | pywikibot/site/_datasite.py | xqt/pwb | 9a4fe27138f32952e533256195849d05855df0b0 | [
"MIT"
] | 1 | 2021-12-08T16:29:41.000Z | 2021-12-08T16:29:41.000Z | pywikibot/site/_datasite.py | xqt/pwb | 9a4fe27138f32952e533256195849d05855df0b0 | [
"MIT"
] | 2 | 2022-01-04T04:10:38.000Z | 2022-01-04T04:18:18.000Z | """Objects representing API interface to Wikibase site."""
#
# (C) Pywikibot team, 2012-2022
#
# Distributed under the terms of the MIT license.
#
import datetime
import json
import uuid
from contextlib import suppress
from typing import Optional
from warnings import warn
import pywikibot
from pywikibot.data import ap... | 36.160809 | 79 | 0.560389 | 3,604 | 33,955 | 5.194229 | 0.1404 | 0.007479 | 0.013194 | 0.020299 | 0.390224 | 0.340865 | 0.313408 | 0.286165 | 0.26437 | 0.255235 | 0 | 0.003829 | 0.338536 | 33,955 | 938 | 80 | 36.19936 | 0.829653 | 0.280754 | 0 | 0.380392 | 0 | 0 | 0.117756 | 0.003975 | 0 | 0 | 0 | 0.002132 | 0.021569 | 1 | 0.072549 | false | 0 | 0.023529 | 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 |
a3e3eb5e33cc147796a90e6e65542a513c75576b | 1,210 | py | Python | app.py | MisaelVillaverde/fourier-calculator | fd50cd292e333c1a9d75e93962a0aaa0985ecef9 | [
"MIT"
] | null | null | null | app.py | MisaelVillaverde/fourier-calculator | fd50cd292e333c1a9d75e93962a0aaa0985ecef9 | [
"MIT"
] | 1 | 2021-11-07T04:40:13.000Z | 2021-11-07T04:40:13.000Z | app.py | MisaelVillaverde/fourier-calculator | fd50cd292e333c1a9d75e93962a0aaa0985ecef9 | [
"MIT"
] | null | null | null | from flask import Flask
from flask import render_template, request
from flask import jsonify
import requests
import json
app = Flask(__name__)
@app.route("/symbo",methods=['POST'])
def symbo():
#import pdb; pdb.set_trace()
session = requests.session()
token = session.get("https://es.symbolab.com/solver/s... | 41.724138 | 349 | 0.717355 | 170 | 1,210 | 5.041176 | 0.517647 | 0.051342 | 0.052509 | 0.063011 | 0.226371 | 0.226371 | 0.226371 | 0.226371 | 0.226371 | 0.226371 | 0 | 0.036178 | 0.109091 | 1,210 | 29 | 350 | 41.724138 | 0.758813 | 0.306612 | 0 | 0 | 0 | 0.086957 | 0.335322 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.217391 | 0.043478 | 0.391304 | 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 |
a3e55a939b6d954bcaed4fd506083967468d2eb3 | 1,584 | py | Python | my_code/Chapter_2.py | kalona/Spark-The-Definitive-Guide | 0b495c4710b2030aa59d5a7f4053ee0a8345d0d8 | [
"Apache-2.0"
] | 2 | 2022-01-02T14:24:29.000Z | 2022-01-02T15:54:47.000Z | my_code/Chapter_2.py | kalona/Spark-The-Definitive-Guide | 0b495c4710b2030aa59d5a7f4053ee0a8345d0d8 | [
"Apache-2.0"
] | null | null | null | my_code/Chapter_2.py | kalona/Spark-The-Definitive-Guide | 0b495c4710b2030aa59d5a7f4053ee0a8345d0d8 | [
"Apache-2.0"
] | null | null | null | from pyspark.sql import SparkSession
# spark = SparkSession.builder.master("local[*]").getOrCreate()
spark = SparkSession.builder.getOrCreate()
file_path = "C:\home_work\local_github\Spark-The-Definitive-Guide\data\/flight-data\csv\/2015-summary.csv"
# COMMAND ----------
# COMMAND ----------
flightData2015 = spa... | 18.418605 | 106 | 0.680556 | 181 | 1,584 | 5.801105 | 0.325967 | 0.073333 | 0.1 | 0.091429 | 0.533333 | 0.491429 | 0.367619 | 0.367619 | 0.295238 | 0.219048 | 0 | 0.035 | 0.116162 | 1,584 | 85 | 107 | 18.635294 | 0.715 | 0.146465 | 0 | 0.431818 | 0 | 0.022727 | 0.41194 | 0.097761 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068182 | 0 | 0.068182 | 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 |
a3e58f9e7062eea97241b4b05b8e709ab53b50c3 | 7,508 | py | Python | tests/test_intake_postgres.py | ContinuumIO/intake-postgres | fda7f7b2b6255544ea7ffd365a4ac8b2655fd226 | [
"BSD-2-Clause"
] | 2 | 2018-11-26T00:14:10.000Z | 2018-12-21T01:52:44.000Z | tests/test_intake_postgres.py | ContinuumIO/intake-postgres | fda7f7b2b6255544ea7ffd365a4ac8b2655fd226 | [
"BSD-2-Clause"
] | 1 | 2018-12-20T08:41:05.000Z | 2018-12-21T15:00:08.000Z | tests/test_intake_postgres.py | ContinuumIO/intake-postgres | fda7f7b2b6255544ea7ffd365a4ac8b2655fd226 | [
"BSD-2-Clause"
] | 3 | 2018-12-19T08:34:14.000Z | 2019-01-24T07:58:32.000Z | import os
import pickle
import pytest
import pandas as pd
from shapely import wkt
from intake_postgres import PostgresSource
from intake import open_catalog
from .util import verify_datasource_interface
TEST_DATA_DIR = 'tests'
TEST_DATA = [
('sample1', 'sample1.csv'),
('sample2_1', 'sample2_1.csv'),
('sa... | 31.546218 | 78 | 0.678876 | 1,010 | 7,508 | 4.816832 | 0.167327 | 0.051799 | 0.041932 | 0.028777 | 0.633916 | 0.619938 | 0.608633 | 0.573279 | 0.556629 | 0.556629 | 0 | 0.006494 | 0.179542 | 7,508 | 237 | 79 | 31.679325 | 0.783279 | 0.035162 | 0 | 0.508571 | 0 | 0 | 0.134506 | 0.018701 | 0 | 0 | 0 | 0 | 0.205714 | 1 | 0.062857 | false | 0 | 0.062857 | 0 | 0.125714 | 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 |
a3e6e2cb9c18b7306bf960a8fcbaf212c1159394 | 351 | py | Python | Module_3/testImage.py | dks1018/CoffeeShopCoding | 13ac1700673c86c601eb2758570920620a956e4c | [
"ADSL"
] | null | null | null | Module_3/testImage.py | dks1018/CoffeeShopCoding | 13ac1700673c86c601eb2758570920620a956e4c | [
"ADSL"
] | null | null | null | Module_3/testImage.py | dks1018/CoffeeShopCoding | 13ac1700673c86c601eb2758570920620a956e4c | [
"ADSL"
] | null | null | null | # file = open('C:\\Users\\dks10\\OneDrive\\Desktop\\Projects\\Code\\Python\\PythonCrypto\\Module_3\\eye.png', 'rb')
file = open('encrypt_eye.png', 'rb')
image = file.read()
file.close()
image = bytearray(image)
key = 48
for index, value in enumerate(image):
image[index] = value^key
file = open('2eye.png','wb')
... | 21.9375 | 115 | 0.675214 | 52 | 351 | 4.519231 | 0.596154 | 0.102128 | 0.068085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019293 | 0.11396 | 351 | 16 | 116 | 21.9375 | 0.736334 | 0.321937 | 0 | 0.2 | 0 | 0 | 0.113924 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a3e8a92c23b5ddc471c49e37f3c8dc3fb274d2ab | 1,702 | py | Python | ledfxcontroller/effects/temporal.py | Aircoookie/LedFx | 95628fc237497dd89aaf30fdbf88f780f3330166 | [
"MIT"
] | 17 | 2018-08-31T05:51:09.000Z | 2022-02-12T15:41:33.000Z | ledfxcontroller/effects/temporal.py | Aircoookie/LedFx | 95628fc237497dd89aaf30fdbf88f780f3330166 | [
"MIT"
] | null | null | null | ledfxcontroller/effects/temporal.py | Aircoookie/LedFx | 95628fc237497dd89aaf30fdbf88f780f3330166 | [
"MIT"
] | 5 | 2019-07-15T22:12:45.000Z | 2022-02-05T10:50:44.000Z | import time
import logging
from ledfxcontroller.effects import Effect
from threading import Thread
import voluptuous as vol
_LOGGER = logging.getLogger(__name__)
DEFAULT_RATE = 1.0 / 60.0
@Effect.no_registration
class TemporalEffect(Effect):
_thread_active = False
_thread = None
CONFIG_SCHEMA = vol.Schem... | 28.847458 | 93 | 0.621622 | 186 | 1,702 | 5.521505 | 0.473118 | 0.087634 | 0.062317 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00846 | 0.305523 | 1,702 | 58 | 94 | 29.344828 | 0.860406 | 0.185076 | 0 | 0 | 0 | 0 | 0.007402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0.027027 | 0.135135 | 0 | 0.351351 | 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 |
a3ec4aae5421f3c1473f18af462a1b949c04b4de | 1,796 | py | Python | utils.py | LuChang-CS/sherbet | d1061aca108eab8e0ccbd2202460e25261fdf1d5 | [
"Apache-2.0"
] | 2 | 2022-01-26T05:38:04.000Z | 2022-03-20T08:54:18.000Z | utils.py | LuChang-CS/sherbet | d1061aca108eab8e0ccbd2202460e25261fdf1d5 | [
"Apache-2.0"
] | null | null | null | utils.py | LuChang-CS/sherbet | d1061aca108eab8e0ccbd2202460e25261fdf1d5 | [
"Apache-2.0"
] | null | null | null | import numpy as np
class DataGenerator:
def __init__(self, inputs, shuffle=True, batch_size=32):
assert len(inputs) > 0
self.inputs = inputs
self.idx = np.arange(len(inputs[0]))
self.shuffle = shuffle
self.batch_size = batch_size
self.on_epoch_end()
def data_le... | 28.967742 | 72 | 0.577394 | 244 | 1,796 | 3.930328 | 0.209016 | 0.103233 | 0.094891 | 0.029197 | 0.183525 | 0.08342 | 0.08342 | 0.08342 | 0.08342 | 0 | 0 | 0.013389 | 0.334633 | 1,796 | 61 | 73 | 29.442623 | 0.789121 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06 | 1 | 0.16 | false | 0 | 0.02 | 0.04 | 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 |
a3ec779913e7a7957725c231bcea5cdaa55dcfbf | 810 | py | Python | Version1_STI.py | sudhanshu55/Speech_to_Image | 7a047725b3167cfcb7a68004b3c35b2ece75fde4 | [
"MIT"
] | null | null | null | Version1_STI.py | sudhanshu55/Speech_to_Image | 7a047725b3167cfcb7a68004b3c35b2ece75fde4 | [
"MIT"
] | null | null | null | Version1_STI.py | sudhanshu55/Speech_to_Image | 7a047725b3167cfcb7a68004b3c35b2ece75fde4 | [
"MIT"
] | null | null | null | from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
import speech_recognition as sr
import nltk
from google_images_download import google_images_download
response = google_images_download.googleimagesdownload()
r = sr.Recognizer()
with sr.Microphone() as source:
print("Say some... | 32.4 | 94 | 0.769136 | 109 | 810 | 5.577982 | 0.53211 | 0.059211 | 0.098684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002849 | 0.133333 | 810 | 25 | 95 | 32.4 | 0.863248 | 0.077778 | 0 | 0 | 0 | 0 | 0.065684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.227273 | 0 | 0.227273 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |