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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
efaec9e129260471f4d26372fd487df99a205a00 | 4,887 | py | Python | utils.py | loc-trinh/GrandmasterZero | 58365890fe2b0145344f17be5fb59e08c8f1993a | [
"MIT"
] | null | null | null | utils.py | loc-trinh/GrandmasterZero | 58365890fe2b0145344f17be5fb59e08c8f1993a | [
"MIT"
] | null | null | null | utils.py | loc-trinh/GrandmasterZero | 58365890fe2b0145344f17be5fb59e08c8f1993a | [
"MIT"
] | null | null | null | import pprint
import time
import chess.pgn
import IPython.display as display
import ipywidgets as widgets
def who(player):
return 'White' if player == chess.WHITE else 'Black'
def get_last_move_san_from_board(board):
if len(board.move_stack) == 0:
return chess.Move.null()
else:
last_mov... | 32.58 | 79 | 0.575609 | 563 | 4,887 | 4.801066 | 0.207815 | 0.057714 | 0.031077 | 0.044025 | 0.353681 | 0.333703 | 0.290418 | 0.27044 | 0.244543 | 0.217906 | 0 | 0.004479 | 0.314713 | 4,887 | 149 | 80 | 32.798658 | 0.802628 | 0 | 0 | 0.346457 | 0 | 0 | 0.067935 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07874 | false | 0 | 0.03937 | 0.007874 | 0.19685 | 0.07874 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efb0224997c2a73db24a06482baa1e76838ea1f0 | 2,904 | py | Python | query.py | urmi-21/COVID-biorxiv | 6dfe713c2634197b6c9983eb2aa3fa6676f7d045 | [
"MIT"
] | 2 | 2020-06-29T16:55:17.000Z | 2020-09-21T14:00:16.000Z | query.py | urmi-21/COVID-biorxiv | 6dfe713c2634197b6c9983eb2aa3fa6676f7d045 | [
"MIT"
] | null | null | null | query.py | urmi-21/COVID-biorxiv | 6dfe713c2634197b6c9983eb2aa3fa6676f7d045 | [
"MIT"
] | 1 | 2020-09-21T14:00:23.000Z | 2020-09-21T14:00:23.000Z | import sys
import json
import requests
import subprocess
from datetime import datetime
#dict storing data
collection={}
def execute_commandRealtime(cmd):
"""Execute shell command and print stdout in realtime.
Function taken from pyrpipe Singh et.al. 2020
usage:
for output in execute_commandRealtime(['... | 25.034483 | 82 | 0.64084 | 376 | 2,904 | 4.87234 | 0.393617 | 0.010917 | 0.019651 | 0.021288 | 0.077511 | 0.065502 | 0.065502 | 0.065502 | 0.065502 | 0.065502 | 0 | 0.008877 | 0.224174 | 2,904 | 115 | 83 | 25.252174 | 0.804261 | 0.212121 | 0 | 0.086957 | 0 | 0 | 0.123922 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115942 | false | 0 | 0.072464 | 0 | 0.26087 | 0.15942 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efb3562ab2f0bc0a7a96ac315758b6464fb9c4ea | 1,336 | py | Python | core/server/wx_handler.py | Maru-zhang/FilmHub-Tornado | 870da52cec65920565439d2d5bb1424ae614665d | [
"Apache-2.0"
] | 2 | 2017-07-19T01:24:05.000Z | 2017-07-19T09:12:46.000Z | core/server/wx_handler.py | Maru-zhang/FilmHub-Tornado | 870da52cec65920565439d2d5bb1424ae614665d | [
"Apache-2.0"
] | null | null | null | core/server/wx_handler.py | Maru-zhang/FilmHub-Tornado | 870da52cec65920565439d2d5bb1424ae614665d | [
"Apache-2.0"
] | 1 | 2017-07-28T09:31:42.000Z | 2017-07-28T09:31:42.000Z | import tornado.web
from core.logger_helper import logger
from core.server.wxauthorize import WxConfig
from core.server.wxauthorize import WxAuthorServer
from core.cache.tokencache import TokenCache
class WxHandler(tornado.web.RequestHandler):
"""
微信handler处理类
"""
'''微信配置文件'''
wx_config = WxConfig... | 32.585366 | 91 | 0.569611 | 128 | 1,336 | 5.773438 | 0.414063 | 0.043302 | 0.069012 | 0.067659 | 0.083897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.312126 | 1,336 | 40 | 92 | 33.4 | 0.804135 | 0.051647 | 0 | 0 | 0 | 0 | 0.107293 | 0.071249 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.208333 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efb4030a249dafcb2be0137ce898a4f573bed62c | 2,771 | py | Python | Recipes/Convert_Files_Into_JSON_And_CSV/Mapping_JsonToCsvConverter.py | Lotame/DataStream_Cookbook | 3ec7ded6bd1e3a59fa4d06bb76e81be9da9c97a6 | [
"MIT"
] | 1 | 2022-02-28T10:40:53.000Z | 2022-02-28T10:40:53.000Z | Recipes/Convert_Files_Into_JSON_And_CSV/Mapping_JsonToCsvConverter.py | Lotame/DataStream_Cookbook | 3ec7ded6bd1e3a59fa4d06bb76e81be9da9c97a6 | [
"MIT"
] | 2 | 2021-01-08T17:51:10.000Z | 2021-03-29T11:36:07.000Z | Recipes/Convert_Files_Into_JSON_And_CSV/Mapping_JsonToCsvConverter.py | Lotame/DataStream_Cookbook | 3ec7ded6bd1e3a59fa4d06bb76e81be9da9c97a6 | [
"MIT"
] | 3 | 2020-01-26T23:31:23.000Z | 2022-02-18T19:29:30.000Z | #!/usr/bin/python
#
# Write in Python3.6
# Filename:
#
# Mapping_JsonToCsvExtractor.py
#
#
# Basic Usage:
#
# python Mapping_JsonToCsvExtractor.py /directory/containing/datastream/mapping/json/files
#
# Utilities
import sys
import os
import json
import argparse
def writeCsvHeader(delimiter, csv_file, *args):... | 35.987013 | 125 | 0.631902 | 373 | 2,771 | 4.552279 | 0.289544 | 0.035336 | 0.025913 | 0.037691 | 0.143698 | 0.053004 | 0.053004 | 0.053004 | 0.053004 | 0 | 0 | 0.003846 | 0.249368 | 2,771 | 76 | 126 | 36.460526 | 0.8125 | 0.114399 | 0 | 0.08 | 0 | 0 | 0.221083 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0 | 0.08 | 0 | 0.14 | 0.06 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efb55216c30cf2837e4576480260417e73138279 | 4,088 | py | Python | main.py | DayvsonAlmeida/Programa-o-Gen-tica | 6edaceab99c61f55f4157e81fcf7cbad580f81d1 | [
"MIT"
] | null | null | null | main.py | DayvsonAlmeida/Programa-o-Gen-tica | 6edaceab99c61f55f4157e81fcf7cbad580f81d1 | [
"MIT"
] | null | null | null | main.py | DayvsonAlmeida/Programa-o-Gen-tica | 6edaceab99c61f55f4157e81fcf7cbad580f81d1 | [
"MIT"
] | null | null | null | from utils import initialize
from pandas import DataFrame
from genetic import GA
import numpy as np
import argparse
import random
import time
import sys
sys.setrecursionlimit(2000)
random.seed(time.time())
parser = argparse.ArgumentParser()
parser.add_argument('--mr', help='Mutation Rate')
parser.add_argu... | 40.88 | 107 | 0.634785 | 638 | 4,088 | 3.965517 | 0.211599 | 0.066403 | 0.042688 | 0.047431 | 0.267589 | 0.25415 | 0.251383 | 0.204743 | 0.192095 | 0.192095 | 0 | 0.06556 | 0.130626 | 4,088 | 99 | 108 | 41.292929 | 0.646314 | 0.128669 | 0 | 0 | 0 | 0 | 0.146674 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efc4891e8e505e8dc24f5447323153c9667f9326 | 1,220 | py | Python | file-convertors/pdf-to-image/pdf_to_image.py | fraserlove/python-productivity-scripts | 4a667446250042b01e307c7e4be53defc905207e | [
"MIT"
] | null | null | null | file-convertors/pdf-to-image/pdf_to_image.py | fraserlove/python-productivity-scripts | 4a667446250042b01e307c7e4be53defc905207e | [
"MIT"
] | null | null | null | file-convertors/pdf-to-image/pdf_to_image.py | fraserlove/python-productivity-scripts | 4a667446250042b01e307c7e4be53defc905207e | [
"MIT"
] | null | null | null | '''
PDF to Image Converter
Author: Fraser Love, me@fraser.love
Created: 2020-06-13
Latest Release: v1.0.1, 2020-06-21
Python: v3.6.9
Dependancies: pdf2image
Converts multiple pdf's to images (JPEG format) and stores them in a logical folder structure under the desired image directory.
Usage: Update the pdf_dir and img... | 36.969697 | 128 | 0.694262 | 195 | 1,220 | 4.2 | 0.446154 | 0.076923 | 0.04884 | 0.054945 | 0.086691 | 0.063492 | 0.063492 | 0 | 0 | 0 | 0 | 0.027136 | 0.184426 | 1,220 | 33 | 129 | 36.969697 | 0.79598 | 0.439344 | 0 | 0 | 0 | 0 | 0.088757 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efc5229f2a8966dc64e04e1c67caf2f4bee4df93 | 4,217 | py | Python | tests/test/search/test_references_searcher_string.py | watermelonwolverine/fvttmv | 8689d47d1f904dd2bf0a083de515fda65713c460 | [
"MIT"
] | 1 | 2022-03-30T19:12:14.000Z | 2022-03-30T19:12:14.000Z | tests/test/search/test_references_searcher_string.py | watermelonwolverine/fvttmv | 8689d47d1f904dd2bf0a083de515fda65713c460 | [
"MIT"
] | null | null | null | tests/test/search/test_references_searcher_string.py | watermelonwolverine/fvttmv | 8689d47d1f904dd2bf0a083de515fda65713c460 | [
"MIT"
] | null | null | null | from fvttmv.exceptions import FvttmvException
from fvttmv.reference_tools import ReferenceTools
from fvttmv.search.__references_searcher_string import ReferencesSearcherString
from test.common import TestCase
class ReferencesSearcherStringTest(TestCase):
json_base_str = "\"img\":\"{0}\""
html_base_str = "<img... | 40.548077 | 96 | 0.591653 | 381 | 4,217 | 6.183727 | 0.136483 | 0.102716 | 0.066214 | 0.093379 | 0.771222 | 0.546689 | 0.546689 | 0.48472 | 0.48472 | 0.370119 | 0 | 0.007894 | 0.339104 | 4,217 | 103 | 97 | 40.941748 | 0.83746 | 0 | 0 | 0.418919 | 0 | 0 | 0.114774 | 0.082286 | 0 | 0 | 0 | 0 | 0.148649 | 1 | 0.162162 | false | 0.013514 | 0.054054 | 0 | 0.297297 | 0.162162 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efc64b0b3d469f8a4e23675a9039dc1fed37be48 | 4,999 | py | Python | vtk.py | becklabs/geotag-gui | c8b1c3a0c6ca0c3eed09fab69d9dbb8b974b1b03 | [
"MIT"
] | null | null | null | vtk.py | becklabs/geotag-gui | c8b1c3a0c6ca0c3eed09fab69d9dbb8b974b1b03 | [
"MIT"
] | null | null | null | vtk.py | becklabs/geotag-gui | c8b1c3a0c6ca0c3eed09fab69d9dbb8b974b1b03 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 19:50:43 2020
@author: beck
"""
import cv2
import datetime
import dateparser
import os
import sys
import pandas as pd
import pytz
from hachoir.parser import createParser
from hachoir.metadata import extractMetadata
from PIL import Image
import numpy as... | 35.707143 | 102 | 0.619324 | 609 | 4,999 | 4.990148 | 0.333333 | 0.026324 | 0.009872 | 0.026324 | 0.102994 | 0.052978 | 0.036196 | 0 | 0 | 0 | 0 | 0.02043 | 0.255851 | 4,999 | 140 | 103 | 35.707143 | 0.796505 | 0.035207 | 0 | 0.035714 | 0 | 0 | 0.044521 | 0.005993 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080357 | false | 0 | 0.142857 | 0 | 0.294643 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efc6952d49bfc96baa0e1e3a017cc887fba50c18 | 4,237 | py | Python | ROS_fall_detection/src/detector.py | SeanChen0220/Posefall | f27eedc0a624cc2875d14ffa276cf96cdfc1b410 | [
"MIT"
] | 15 | 2021-08-08T08:41:54.000Z | 2022-03-30T10:12:49.000Z | ROS_fall_detection/src/detector.py | SeanChen0220/Posefall | f27eedc0a624cc2875d14ffa276cf96cdfc1b410 | [
"MIT"
] | 1 | 2021-11-24T16:51:51.000Z | 2021-12-03T06:20:11.000Z | ROS_fall_detection/src/detector.py | SeanChen0220/Posefall | f27eedc0a624cc2875d14ffa276cf96cdfc1b410 | [
"MIT"
] | 3 | 2021-08-08T08:41:55.000Z | 2022-03-15T07:28:53.000Z | #! /home/seanchen/anaconda3/bin/python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
#import sys
import rospy
from std_msgs.msg import String
import torch
import torch.nn.parallel
import torch.nn.functional as F
import numpy as np
import cv2
from LPN impor... | 35.605042 | 99 | 0.630399 | 597 | 4,237 | 4.246231 | 0.319933 | 0.06075 | 0.017357 | 0.022091 | 0.136095 | 0.126627 | 0.090335 | 0.090335 | 0.074951 | 0.074951 | 0 | 0.029611 | 0.234836 | 4,237 | 118 | 100 | 35.90678 | 0.752313 | 0.203446 | 0 | 0.0375 | 0 | 0 | 0.058032 | 0.031708 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0125 | false | 0.0125 | 0.225 | 0 | 0.2375 | 0.075 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efc705c5b7dd44b358486c8f4931ee3c4faede41 | 3,696 | py | Python | tensorflow1.x/sound_conv.py | wikeex/tensorflow-learning | a6ab7c99455711e9f3c015e0abb04fa58342e0cb | [
"MIT"
] | null | null | null | tensorflow1.x/sound_conv.py | wikeex/tensorflow-learning | a6ab7c99455711e9f3c015e0abb04fa58342e0cb | [
"MIT"
] | null | null | null | tensorflow1.x/sound_conv.py | wikeex/tensorflow-learning | a6ab7c99455711e9f3c015e0abb04fa58342e0cb | [
"MIT"
] | null | null | null | import tensorflow as tf
from sound_lstm_test import data
batch_size = 10
x = tf.placeholder(tf.float32, [batch_size, 512, 80])
y_ = tf.placeholder(tf.float32, [batch_size, 59])
w_conv1 = tf.Variable(tf.truncated_normal([16, 2, 1, 64], stddev=0.1), name='conv1_w')
b_conv1 = tf.Variable(tf.constant(0.1, shape=[64]), n... | 44.53012 | 116 | 0.717532 | 639 | 3,696 | 3.890454 | 0.189358 | 0.014481 | 0.038616 | 0.058327 | 0.497989 | 0.343926 | 0.216412 | 0.172969 | 0.119871 | 0.092518 | 0 | 0.073661 | 0.125812 | 3,696 | 82 | 117 | 45.073171 | 0.69576 | 0 | 0 | 0 | 0 | 0 | 0.02868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033333 | 0 | 0.033333 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efc7a9d58bb127091a58a8679f3c1f9062aeca6a | 3,123 | py | Python | src/ensae_projects/datainc/data_medical.py | sdpython/ensae_projects | 9647751da053c09fa35402527b294e02a4e6e2ad | [
"MIT"
] | 1 | 2020-11-22T10:24:54.000Z | 2020-11-22T10:24:54.000Z | src/ensae_projects/datainc/data_medical.py | sdpython/ensae_projects | 9647751da053c09fa35402527b294e02a4e6e2ad | [
"MIT"
] | 13 | 2017-11-20T00:20:45.000Z | 2021-01-05T14:13:51.000Z | src/ensae_projects/datainc/data_medical.py | sdpython/ensae_projects | 9647751da053c09fa35402527b294e02a4e6e2ad | [
"MIT"
] | null | null | null | """
@file
@brief Functions to handle data coming from
:epkg:`Cancer Imaging Archive`.
"""
import os
import pydicom
import pandas
import cv2
from pyquickhelper.filehelper.synchelper import explore_folder_iterfile # pylint: disable=C0411
def _recurse_fill(obs, dataset, parent=""):
for data_element in dataset:
... | 33.945652 | 96 | 0.565802 | 376 | 3,123 | 4.566489 | 0.340426 | 0.027956 | 0.0629 | 0.025626 | 0.09668 | 0.076878 | 0.076878 | 0.076878 | 0 | 0 | 0 | 0.012015 | 0.307077 | 3,123 | 91 | 97 | 34.318681 | 0.781423 | 0.148255 | 0 | 0.15873 | 0 | 0 | 0.116564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031746 | false | 0 | 0.079365 | 0 | 0.126984 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efcb531829013e0d275069585a78eef303453aa5 | 851 | py | Python | dfirtrack_api/serializers.py | 0xflotus/dfirtrack | 632ebe582c2b40a4ac4b9fb12b7a118c2c49ede5 | [
"MIT"
] | 4 | 2020-03-06T17:37:09.000Z | 2020-03-17T07:50:55.000Z | dfirtrack_api/serializers.py | 0xflotus/dfirtrack | 632ebe582c2b40a4ac4b9fb12b7a118c2c49ede5 | [
"MIT"
] | null | null | null | dfirtrack_api/serializers.py | 0xflotus/dfirtrack | 632ebe582c2b40a4ac4b9fb12b7a118c2c49ede5 | [
"MIT"
] | 1 | 2020-03-06T20:54:52.000Z | 2020-03-06T20:54:52.000Z | from rest_framework import serializers
from dfirtrack_main.models import System, Systemtype
class SystemtypeSerializer(serializers.ModelSerializer):
""" create serializer for systemtype (needed because of foreignkey relationsship) """
class Meta:
model = Systemtype
# attributes made available... | 27.451613 | 89 | 0.654524 | 78 | 851 | 7.051282 | 0.487179 | 0.070909 | 0.116364 | 0.152727 | 0.489091 | 0.349091 | 0.221818 | 0.221818 | 0 | 0 | 0 | 0 | 0.274971 | 851 | 30 | 90 | 28.366667 | 0.89141 | 0.296122 | 0 | 0.222222 | 0 | 0 | 0.09589 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd02e3f34305859967db711ac4399efc0f26e99 | 7,489 | py | Python | corrct/utils_proc.py | cicwi/PyCorrectedEmissionCT | 424449e1879a03cdbb8910c806417962e5b9faff | [
"BSD-3-Clause"
] | 3 | 2020-12-08T17:09:08.000Z | 2022-01-21T22:46:56.000Z | corrct/utils_proc.py | cicwi/PyCorrectedEmissionCT | 424449e1879a03cdbb8910c806417962e5b9faff | [
"BSD-3-Clause"
] | 11 | 2021-03-19T11:34:34.000Z | 2022-03-31T13:22:02.000Z | corrct/utils_proc.py | cicwi/PyCorrectedEmissionCT | 424449e1879a03cdbb8910c806417962e5b9faff | [
"BSD-3-Clause"
] | 1 | 2021-03-11T18:27:48.000Z | 2021-03-11T18:27:48.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 24 15:25:14 2020
@author: Nicola VIGANÒ, Computational Imaging group, CWI, The Netherlands,
and ESRF - The European Synchrotron, Grenoble, France
"""
import numpy as np
from . import operators
from . import solvers
def get_circular_mask(vol_shape, radius_offset=0, coo... | 37.633166 | 120 | 0.667646 | 1,055 | 7,489 | 4.582938 | 0.225592 | 0.028956 | 0.040538 | 0.019648 | 0.210341 | 0.18242 | 0.136298 | 0.136298 | 0.113961 | 0.113961 | 0 | 0.016388 | 0.217786 | 7,489 | 198 | 121 | 37.823232 | 0.808979 | 0.409 | 0 | 0.190476 | 0 | 0.011905 | 0.034558 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.035714 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd1c5307f2a5343f619264248d49a40d7ec14ee | 675 | py | Python | 84.py | gdmanandamohon/leetcode | a691a4e37ee1fdad69c710e3710c5faf8b0a7d76 | [
"MIT"
] | null | null | null | 84.py | gdmanandamohon/leetcode | a691a4e37ee1fdad69c710e3710c5faf8b0a7d76 | [
"MIT"
] | null | null | null | 84.py | gdmanandamohon/leetcode | a691a4e37ee1fdad69c710e3710c5faf8b0a7d76 | [
"MIT"
] | null | null | null | '''
@author: l4zyc0d3r
People who are happy makes other happy. I am gonna finish it slowly but definitely.cdt
'''
class Solution:
def largestRectangleArea(self, H: List[int]) -> int:
st, mx, i = [], 0, 0
while i<len(H):
if len(st)==0 or H[st[-1]]<=H[i]:
st.append(i)
... | 29.347826 | 86 | 0.422222 | 100 | 675 | 2.85 | 0.4 | 0.070175 | 0.073684 | 0.049123 | 0.259649 | 0.259649 | 0.259649 | 0.259649 | 0.259649 | 0.259649 | 0 | 0.036176 | 0.426667 | 675 | 22 | 87 | 30.681818 | 0.700258 | 0.157037 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0 | 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 |
efd28e21b75921adf9dd8a8cb27c1319019eacfc | 402 | py | Python | delete_event.py | garymcwilliams/py-google-calendar | 546b412f0ffc1bdc9a81868bddf4de18a0c20899 | [
"Apache-2.0"
] | null | null | null | delete_event.py | garymcwilliams/py-google-calendar | 546b412f0ffc1bdc9a81868bddf4de18a0c20899 | [
"Apache-2.0"
] | 1 | 2021-04-30T20:59:15.000Z | 2021-04-30T20:59:15.000Z | delete_event.py | garymcwilliams/py-google-calendar | 546b412f0ffc1bdc9a81868bddf4de18a0c20899 | [
"Apache-2.0"
] | null | null | null | from cal_setup import get_calendar_service
def main():
# Delete the event
service = get_calendar_service()
try:
service.events().delete(
calendarId='primary',
eventId='njdev79d574rdmkv0180t7t7lo',
).execute()
except googleapiclient.errors.HttpError:
print("Failed ... | 23.647059 | 48 | 0.659204 | 41 | 402 | 6.146341 | 0.707317 | 0.087302 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0.233831 | 402 | 17 | 49 | 23.647059 | 0.782468 | 0.039801 | 0 | 0 | 0 | 0 | 0.197403 | 0.067532 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.153846 | 0.153846 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd30ee41ca03d2e23b35a990fdeba3358b3d6c7 | 15,351 | py | Python | pycdp/asyncio.py | HMaker/python-chrome-devtools-protocol | a9646a1c4e172ce458c15e2fcb3860ca8c9b4599 | [
"MIT"
] | null | null | null | pycdp/asyncio.py | HMaker/python-chrome-devtools-protocol | a9646a1c4e172ce458c15e2fcb3860ca8c9b4599 | [
"MIT"
] | null | null | null | pycdp/asyncio.py | HMaker/python-chrome-devtools-protocol | a9646a1c4e172ce458c15e2fcb3860ca8c9b4599 | [
"MIT"
] | null | null | null | from __future__ import annotations
import json
import asyncio
import itertools
import typing as t
from collections import defaultdict
from contextlib import asynccontextmanager
from aiohttp import ClientSession
from aiohttp.client import ClientWebSocketResponse
from aiohttp.http_websocket import WSMsgType, WSCloseCode
... | 35.7 | 123 | 0.614162 | 1,779 | 15,351 | 5.093311 | 0.205734 | 0.023838 | 0.014899 | 0.010484 | 0.181547 | 0.13387 | 0.111246 | 0.077033 | 0.077033 | 0.059817 | 0 | 0.003712 | 0.297961 | 15,351 | 429 | 124 | 35.783217 | 0.83706 | 0.109048 | 0 | 0.214789 | 0 | 0.003521 | 0.055221 | 0.010962 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080986 | false | 0.014085 | 0.045775 | 0.021127 | 0.221831 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd3aea1c3cf0426d8d1f43ef851162a882e6a5f | 7,680 | py | Python | src/manager/om/script/gspylib/inspection/items/cluster/CheckSpecialFile.py | wotchin/openGauss-server | ebd92e92b0cfd76b121d98e4c57a22d334573159 | [
"MulanPSL-1.0"
] | 1 | 2020-06-30T15:00:50.000Z | 2020-06-30T15:00:50.000Z | src/manager/om/script/gspylib/inspection/items/cluster/CheckSpecialFile.py | wotchin/openGauss-server | ebd92e92b0cfd76b121d98e4c57a22d334573159 | [
"MulanPSL-1.0"
] | null | null | null | src/manager/om/script/gspylib/inspection/items/cluster/CheckSpecialFile.py | wotchin/openGauss-server | ebd92e92b0cfd76b121d98e4c57a22d334573159 | [
"MulanPSL-1.0"
] | null | null | null | # -*- coding:utf-8 -*-
# Copyright (c) 2020 Huawei Technologies Co.,Ltd.
#
# openGauss is licensed under Mulan PSL v2.
# You can use this software according to the terms
# and conditions of the Mulan PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
#
# http://license.coscl.org.cn/MulanPSL2
#
# THIS SOFTWARE... | 37.101449 | 78 | 0.552344 | 745 | 7,680 | 5.656376 | 0.303356 | 0.011391 | 0.009492 | 0.019934 | 0.232795 | 0.164689 | 0.130517 | 0.106312 | 0.055055 | 0.017561 | 0 | 0.005995 | 0.326693 | 7,680 | 206 | 79 | 37.281553 | 0.808934 | 0.132422 | 0 | 0.357143 | 0 | 0 | 0.057707 | 0.007561 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051948 | false | 0 | 0.045455 | 0 | 0.175325 | 0.006494 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd3f9d1de68654dbc76d3fbfef70bcad64b263b | 585 | py | Python | main/methods/analysis.py | hannxiao/autotrade2 | 8e6f3d463334b6ea8a18074de58e25c0dab93f39 | [
"MIT"
] | null | null | null | main/methods/analysis.py | hannxiao/autotrade2 | 8e6f3d463334b6ea8a18074de58e25c0dab93f39 | [
"MIT"
] | 6 | 2020-06-06T01:05:02.000Z | 2021-12-13T20:42:16.000Z | main/methods/analysis.py | hannxiao/autotrade | 8e6f3d463334b6ea8a18074de58e25c0dab93f39 | [
"MIT"
] | null | null | null | from . import toolFuncs
def DefineTrend(data, K):
'''
Filter all the trend whose range less than K%
'''
pairs = list(zip(data['Date'], data['Close']))
is_extreme = toolFuncs.extreme_point(data['Close'], K, recognition_method='height')
output = [pairs[i] for i... | 32.5 | 98 | 0.529915 | 64 | 585 | 4.765625 | 0.6875 | 0.088525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002463 | 0.305983 | 585 | 17 | 99 | 34.411765 | 0.748768 | 0.076923 | 0 | 0 | 0 | 0 | 0.179732 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 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 |
efd40da6f7f764459934c721ccc5ec880311c2e3 | 607 | py | Python | FaceClassify/losses/TripletMarginLoss.py | CharlesPikachu/CharlesFace | 90bfe38c58068228d0069dce43b55b2570acaa16 | [
"MIT"
] | 13 | 2018-05-23T07:07:28.000Z | 2021-05-28T07:37:30.000Z | FaceClassify/losses/TripletMarginLoss.py | CharlesPikachu/CharlesFace | 90bfe38c58068228d0069dce43b55b2570acaa16 | [
"MIT"
] | null | null | null | FaceClassify/losses/TripletMarginLoss.py | CharlesPikachu/CharlesFace | 90bfe38c58068228d0069dce43b55b2570acaa16 | [
"MIT"
] | null | null | null | # Author:
# Charles
# Function:
# Triplet loss function.
import torch
from torch.autograd import Function
import sys
sys.path.append('../')
from utils.utils import *
class TripletMarginLoss(Function):
def __init__(self, margin):
super(TripletMarginLoss, self).__init__()
self.margin = margin
# norm 2
self.p... | 26.391304 | 66 | 0.744646 | 82 | 607 | 5.341463 | 0.463415 | 0.068493 | 0.063927 | 0.100457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007648 | 0.138386 | 607 | 23 | 67 | 26.391304 | 0.829828 | 0.093904 | 0 | 0 | 0 | 0 | 0.005505 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 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 |
efd461c9230c324e2c8e6e92be4631dc26caa578 | 768 | py | Python | DailyProgrammer/20120316A.py | DayGitH/Python-Challenges | bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf | [
"MIT"
] | 2 | 2020-12-23T18:59:22.000Z | 2021-04-14T13:16:09.000Z | DailyProgrammer/20120316A.py | DayGitH/Python-Challenges | bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf | [
"MIT"
] | null | null | null | DailyProgrammer/20120316A.py | DayGitH/Python-Challenges | bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf | [
"MIT"
] | null | null | null | """
you have a string "ddaaiillyypprrooggrraammeerr". We want to remove all the consecutive duplicates and put them in a
separate string, which yields two separate instances of the string "dailyprogramer".
use this list for testing:
input: "balloons"
expected output: "balons" "lo"
input: "ddaaiillyypprrooggrraammeerr"... | 25.6 | 116 | 0.69401 | 98 | 768 | 5.438776 | 0.571429 | 0.105066 | 0.030019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173177 | 768 | 30 | 117 | 25.6 | 0.83937 | 0.63151 | 0 | 0 | 0 | 0 | 0.213768 | 0.101449 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd60ec0f5dfed774930cf3e30f7572bed405c2b | 6,485 | py | Python | src/preppipe/enginesupport/enginesupport.py | PrepPipe/preppipe-python | 6fc547a539737ec37a7528eb97ce92e56d4f404a | [
"Apache-2.0"
] | 1 | 2022-02-28T03:34:57.000Z | 2022-02-28T03:34:57.000Z | src/preppipe/enginesupport/enginesupport.py | PrepPipe/preppipe-python | 6fc547a539737ec37a7528eb97ce92e56d4f404a | [
"Apache-2.0"
] | null | null | null | src/preppipe/enginesupport/enginesupport.py | PrepPipe/preppipe-python | 6fc547a539737ec37a7528eb97ce92e56d4f404a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import typing
import PIL.Image
from enum import Enum
import re
import preppipe.commontypes
from preppipe.vnmodel import *
class EngineSupport:
"""All engine support classes inherit this class, so that we can use reflection to query all supported engines"""
pass
# we define a... | 32.918782 | 143 | 0.665998 | 876 | 6,485 | 4.726027 | 0.211187 | 0.04058 | 0.036232 | 0.019324 | 0.353865 | 0.299517 | 0.278019 | 0.250725 | 0.215942 | 0.215942 | 0 | 0.003808 | 0.230686 | 6,485 | 197 | 144 | 32.918782 | 0.826017 | 0.212799 | 0 | 0.297521 | 0 | 0 | 0.016529 | 0 | 0 | 0 | 0 | 0 | 0.033058 | 1 | 0.140496 | false | 0.008264 | 0.049587 | 0.041322 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efd8cec6101a750931dee27419124950274496b7 | 3,422 | py | Python | upload.py | woodlords/nftmaker-pro-scripts | 86e1eef0d297bf9589d56272b1edea9bb3e18612 | [
"Apache-2.0"
] | 2 | 2022-02-09T17:48:33.000Z | 2022-02-12T08:18:42.000Z | upload.py | woodlords/nftmaker-pro-scripts | 86e1eef0d297bf9589d56272b1edea9bb3e18612 | [
"Apache-2.0"
] | null | null | null | upload.py | woodlords/nftmaker-pro-scripts | 86e1eef0d297bf9589d56272b1edea9bb3e18612 | [
"Apache-2.0"
] | null | null | null | from pprint import pprint
import requests
import base64
import json
import argparse
import sys
p = argparse.ArgumentParser(description="New")
p.add_argument('-f','--folder-name', required=True, help='Folder name of the images/metadata files')
p.add_argument('-s','--start', required=False, help='Start ID to upload')
p... | 30.553571 | 136 | 0.648159 | 453 | 3,422 | 4.743929 | 0.362031 | 0.02792 | 0.022336 | 0.037692 | 0.094928 | 0.026989 | 0 | 0 | 0 | 0 | 0 | 0.018738 | 0.235827 | 3,422 | 111 | 137 | 30.828829 | 0.803059 | 0.09848 | 0 | 0.046512 | 0 | 0 | 0.176911 | 0.014959 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.069767 | 0 | 0.174419 | 0.05814 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efdf05259aeb476a54f281ec506c8577fe42f662 | 17,015 | py | Python | app/common/helper.py | lguobin/KB_API | f7180cf430cb8de2eac8fa78e3937666da950c7a | [
"Apache-2.0"
] | null | null | null | app/common/helper.py | lguobin/KB_API | f7180cf430cb8de2eac8fa78e3937666da950c7a | [
"Apache-2.0"
] | null | null | null | app/common/helper.py | lguobin/KB_API | f7180cf430cb8de2eac8fa78e3937666da950c7a | [
"Apache-2.0"
] | null | null | null | # from app.common.utils import *
from sqlalchemy import desc
from settings import Config
from app.models import *
from app.extensions import db
from app.models.base import _BaseModel
from app.common.message import DBError
# 获取分页数据
def Pages(_request, _TABLE, _filter=None):
page = get_page_value(_request)
per... | 33.759921 | 132 | 0.53253 | 1,753 | 17,015 | 4.885339 | 0.127211 | 0.052546 | 0.019617 | 0.024404 | 0.488907 | 0.450257 | 0.414176 | 0.399813 | 0.359995 | 0.326483 | 0 | 0.009443 | 0.352689 | 17,015 | 504 | 133 | 33.759921 | 0.768113 | 0.017455 | 0 | 0.457921 | 0 | 0 | 0.085783 | 0.001676 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071782 | false | 0.004951 | 0.024752 | 0.007426 | 0.207921 | 0.004951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efe1e27548d4a791c0325857f9e7735c777989c1 | 2,635 | py | Python | decisive/__init__.py | decisive/api-demo-python | 58cd14e9e1f6373a3cd927536fd29f5f286940a0 | [
"MIT"
] | null | null | null | decisive/__init__.py | decisive/api-demo-python | 58cd14e9e1f6373a3cd927536fd29f5f286940a0 | [
"MIT"
] | null | null | null | decisive/__init__.py | decisive/api-demo-python | 58cd14e9e1f6373a3cd927536fd29f5f286940a0 | [
"MIT"
] | null | null | null | import requests
import requests.exceptions
import datetime
import ujson as json
import logging
class DecisiveApiClient(object):
HOST = 'https://ads.decisive.is'.strip('/')
def __init__(self, api_key, host=None):
self.session = requests.Session()
self.session.auth = (api_key,'')
s... | 38.188406 | 88 | 0.603036 | 323 | 2,635 | 4.758514 | 0.334365 | 0.042941 | 0.023422 | 0.03123 | 0.16851 | 0.15745 | 0.106701 | 0.053351 | 0.053351 | 0 | 0 | 0 | 0.274383 | 2,635 | 68 | 89 | 38.75 | 0.80387 | 0.045541 | 0 | 0.111111 | 0 | 0 | 0.044206 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.092593 | 0.018519 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efe41b6dc8f659359b1e12cb86ef509b2e8e51a8 | 38,284 | py | Python | app/main/views/service_settings.py | karlchillmaid/notifications-admin | 9ef6da4ef9e2fa97b7debb4b573cb035a5cb8880 | [
"MIT"
] | null | null | null | app/main/views/service_settings.py | karlchillmaid/notifications-admin | 9ef6da4ef9e2fa97b7debb4b573cb035a5cb8880 | [
"MIT"
] | null | null | null | app/main/views/service_settings.py | karlchillmaid/notifications-admin | 9ef6da4ef9e2fa97b7debb4b573cb035a5cb8880 | [
"MIT"
] | null | null | null | from flask import (
abort,
current_app,
flash,
redirect,
render_template,
request,
session,
url_for,
)
from flask_login import current_user, login_required
from notifications_python_client.errors import HTTPError
from notifications_utils.field import Field
from notifications_utils.format... | 37.132881 | 119 | 0.709252 | 4,709 | 38,284 | 5.398598 | 0.063708 | 0.087798 | 0.054756 | 0.044371 | 0.702226 | 0.633506 | 0.586264 | 0.543191 | 0.495044 | 0.428881 | 0 | 0.000925 | 0.180754 | 38,284 | 1,030 | 120 | 37.168932 | 0.809623 | 0.009116 | 0 | 0.389412 | 0 | 0.025882 | 0.212276 | 0.121417 | 0.001176 | 0 | 0 | 0.000971 | 0 | 1 | 0.062353 | false | 0.004706 | 0.010588 | 0.010588 | 0.168235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efe457cbb3f9ed9d770c24aeb1ca7014a5e1296d | 3,094 | py | Python | doctools/spelling.py | Sketch98/oil | 2d5c51432b9699e48178236da2e5b3bf1a33d79f | [
"Apache-2.0"
] | null | null | null | doctools/spelling.py | Sketch98/oil | 2d5c51432b9699e48178236da2e5b3bf1a33d79f | [
"Apache-2.0"
] | null | null | null | doctools/spelling.py | Sketch98/oil | 2d5c51432b9699e48178236da2e5b3bf1a33d79f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
"""
spelling.py
Filter the output of 'lynx -dump' into a list of words to spell check.
"""
from __future__ import print_function
from collections import Counter
import optparse
import re
import sys
def log(msg, *args):
if args:
msg = msg % args
print(msg, file=sys.stderr)
def SplitW... | 21.636364 | 80 | 0.591791 | 440 | 3,094 | 4.090909 | 0.402273 | 0.033333 | 0.013333 | 0.014444 | 0.121111 | 0.067778 | 0.067778 | 0.067778 | 0.067778 | 0.067778 | 0 | 0.007545 | 0.271816 | 3,094 | 142 | 81 | 21.788732 | 0.791389 | 0.184874 | 0 | 0.209302 | 0 | 0 | 0.164796 | 0.017642 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05814 | false | 0 | 0.05814 | 0 | 0.127907 | 0.22093 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efe4b76066b7fc615a3d5cb419d39e72b57d7593 | 20,659 | py | Python | train_deep_ls.py | Kamysek/DeepLocalShapes | 24ee92889381d40acbb5ad1c7c8abb512a8c26b5 | [
"MIT"
] | 4 | 2021-09-23T11:36:30.000Z | 2022-02-23T20:10:46.000Z | train_deep_ls.py | Kamysek/DeepLocalShapes | 24ee92889381d40acbb5ad1c7c8abb512a8c26b5 | [
"MIT"
] | null | null | null | train_deep_ls.py | Kamysek/DeepLocalShapes | 24ee92889381d40acbb5ad1c7c8abb512a8c26b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Based on: https://github.com/facebookresearch/DeepSDF using MIT LICENSE (https://github.com/facebookresearch/DeepSDF/blob/master/LICENSE)
# Copyright 2021-present Philipp Friedrich, Josef Kamysek. All Rights Reserved.
import functools
import json
import logging
import math
import os
import sig... | 32.330203 | 182 | 0.628588 | 2,467 | 20,659 | 4.978111 | 0.19092 | 0.04796 | 0.015227 | 0.016122 | 0.261624 | 0.163342 | 0.137122 | 0.108786 | 0.084358 | 0.060419 | 0 | 0.00666 | 0.27315 | 20,659 | 638 | 183 | 32.380878 | 0.811201 | 0.070236 | 0 | 0.121896 | 0 | 0 | 0.111042 | 0.001251 | 0 | 0 | 0 | 0.001567 | 0 | 1 | 0.056433 | false | 0.002257 | 0.040632 | 0.006772 | 0.137698 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efe8537711357e13e0aa907bd882c404ad86cc4e | 988 | py | Python | interface.py | robotafm/motor | 1c0838db12514304b930aec976d7adcbc51b7c92 | [
"MIT"
] | null | null | null | interface.py | robotafm/motor | 1c0838db12514304b930aec976d7adcbc51b7c92 | [
"MIT"
] | null | null | null | interface.py | robotafm/motor | 1c0838db12514304b930aec976d7adcbc51b7c92 | [
"MIT"
] | null | null | null | # /robotafm/motor/interface.py
# Main web interface, contains basic
# information display
# imports:
import xml.dom.minidom
from flask import Flask, render_template
# constants:
LANG = "./lang/rus.xml"
# XML: load text strings from language file
dom = xml.dom.minidom.parse(LANG)
main_title = dom.getElem... | 29.058824 | 87 | 0.709514 | 117 | 988 | 5.837607 | 0.384615 | 0.168375 | 0.087848 | 0.153734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01218 | 0.169028 | 988 | 33 | 88 | 29.939394 | 0.819732 | 0.175101 | 0 | 0 | 0 | 0 | 0.09715 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0.052632 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efed594b93f7036fd9e0fbb23d74fff628cd47d4 | 922 | py | Python | CountingValleys/ValleyCounter.py | monemonesi/TDD_Katas_Python | f21a4f3516b75d7618dcd044453e25be015b4251 | [
"MIT"
] | null | null | null | CountingValleys/ValleyCounter.py | monemonesi/TDD_Katas_Python | f21a4f3516b75d7618dcd044453e25be015b4251 | [
"MIT"
] | null | null | null | CountingValleys/ValleyCounter.py | monemonesi/TDD_Katas_Python | f21a4f3516b75d7618dcd044453e25be015b4251 | [
"MIT"
] | null | null | null | UP = "U"
DOWN = "D"
ALLOWED_PATH_I = [UP, DOWN]
def update_high_for_step(high: int, step: str) -> int:
"""Update the current high given a step"""
if step == UP:
high += 1
elif step == DOWN:
high -= 1
return high
def update_valley_count(valleys_count: int, high: int, pre... | 27.117647 | 83 | 0.611714 | 129 | 922 | 4.209302 | 0.333333 | 0.110497 | 0.047882 | 0.062615 | 0.077348 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012214 | 0.289588 | 922 | 33 | 84 | 27.939394 | 0.816794 | 0.117137 | 0 | 0 | 0 | 0 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
efee15be03037d97374bea9c4059f5490403f268 | 682 | py | Python | Tree/Leetcode 226. Invert Binary Tree.py | kaizhengny/LeetCode | 67d64536ab80f4966699fe7460d165f2a98d6a82 | [
"MIT"
] | 31 | 2020-06-23T00:40:04.000Z | 2022-01-08T11:06:24.000Z | Tree/Leetcode 226. Invert Binary Tree.py | kaizhengny/LeetCode | 67d64536ab80f4966699fe7460d165f2a98d6a82 | [
"MIT"
] | null | null | null | Tree/Leetcode 226. Invert Binary Tree.py | kaizhengny/LeetCode | 67d64536ab80f4966699fe7460d165f2a98d6a82 | [
"MIT"
] | 7 | 2020-04-30T08:46:03.000Z | 2021-08-28T16:25:54.000Z | class Solution:
def invertTree(self, root: TreeNode) -> TreeNode:
if not root: return root
root.left, root.right = root.right, root.left
self.invertTree(root.left)
self.invertTree(root.right)
return root
class Solution:
def invertTree(self, root: TreeNode) -> TreeNode:
... | 29.652174 | 56 | 0.541056 | 79 | 682 | 4.670886 | 0.253165 | 0.086721 | 0.086721 | 0.140921 | 0.482385 | 0.352304 | 0.352304 | 0.352304 | 0.352304 | 0.352304 | 0 | 0 | 0.365103 | 682 | 23 | 57 | 29.652174 | 0.852194 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0 | 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 |
efee470e855ae2a217e0a35720dd990d8a0f3c8b | 333 | py | Python | Ex044.py | JeanPauloGarcia/Python-Exercicios | faff4670806c423680ee00a88d3c4c49b437e72e | [
"MIT"
] | null | null | null | Ex044.py | JeanPauloGarcia/Python-Exercicios | faff4670806c423680ee00a88d3c4c49b437e72e | [
"MIT"
] | null | null | null | Ex044.py | JeanPauloGarcia/Python-Exercicios | faff4670806c423680ee00a88d3c4c49b437e72e | [
"MIT"
] | null | null | null | preço = float(input('Preço: '))
print('''Preencha a forma de pagamento com:
1 - p/ À VISTA
2 - p/ CARTÃO 1x
3 - p/ CARTÃO 2x
4 - p/ CARTÃO 3x ou mais
''')
pagto = str(input('Pagamento: ')).strip()
if pagto == '1':
preço = preço*0.9
elif pagto == '2':
preço = preço*0.95
elif pagto == '4':
preço = preço*1.2
p... | 19.588235 | 43 | 0.597598 | 57 | 333 | 3.491228 | 0.54386 | 0.105528 | 0.110553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065134 | 0.216216 | 333 | 16 | 44 | 20.8125 | 0.697318 | 0 | 0 | 0 | 0 | 0 | 0.391566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.133333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eff27556e4f9b47dbc9ed41d42898d35ce432f5c | 1,264 | py | Python | scorebee/main.py | mikeboers/ScoreBee | e8c3476b6401808a61b495b9c42e8cbe752906b4 | [
"BSD-3-Clause"
] | null | null | null | scorebee/main.py | mikeboers/ScoreBee | e8c3476b6401808a61b495b9c42e8cbe752906b4 | [
"BSD-3-Clause"
] | null | null | null | scorebee/main.py | mikeboers/ScoreBee | e8c3476b6401808a61b495b9c42e8cbe752906b4 | [
"BSD-3-Clause"
] | null | null | null |
import logging
import sys
from .application import Application
from .document import Document, Track, Event
if __name__ == '__main__':
logging.basicConfig(level=logging.DEBUG)
app = Application(sys.argv)
if '--debug' in sys.argv:
# # Load a document.
# # We absolutely MUST have ... | 28.088889 | 84 | 0.511076 | 136 | 1,264 | 4.669118 | 0.551471 | 0.051969 | 0.051969 | 0.075591 | 0.195276 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065081 | 0.36788 | 1,264 | 45 | 85 | 28.088889 | 0.729662 | 0.313291 | 0 | 0.32 | 0 | 0 | 0.117925 | 0.042453 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16 | 0 | 0.16 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eff28154f7d481027598302c0ee3f1c65be8e270 | 45,609 | py | Python | ceci/stage.py | eacharles/ceci | e52e956c9e373c9a632ad0c312770f32ceab0c8b | [
"BSD-3-Clause"
] | null | null | null | ceci/stage.py | eacharles/ceci | e52e956c9e373c9a632ad0c312770f32ceab0c8b | [
"BSD-3-Clause"
] | 1 | 2022-01-05T22:04:57.000Z | 2022-01-05T22:04:57.000Z | ceci/stage.py | eacharles/ceci | e52e956c9e373c9a632ad0c312770f32ceab0c8b | [
"BSD-3-Clause"
] | null | null | null | """Module with core functionality for a single pipeline stage """
import pathlib
import os
import sys
from textwrap import dedent
import shutil
import cProfile
from abc import abstractmethod
from . import errors
from .monitor import MemoryMonitor
from .config import StageConfig, cast_to_streamable
SERIAL = "serial"
... | 35.912598 | 118 | 0.568967 | 5,561 | 45,609 | 4.566445 | 0.146736 | 0.010396 | 0.016894 | 0.005671 | 0.240175 | 0.18847 | 0.15862 | 0.123691 | 0.103371 | 0.092069 | 0 | 0.002534 | 0.342476 | 45,609 | 1,269 | 119 | 35.940898 | 0.844243 | 0.341161 | 0 | 0.269592 | 0 | 0.003135 | 0.134274 | 0.005551 | 0 | 0 | 0 | 0.000788 | 0 | 1 | 0.073668 | false | 0 | 0.03605 | 0 | 0.178683 | 0.020376 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
eff99e10986bd9b8e0f53017db77d82913562ddf | 1,102 | py | Python | topology.py | Patatone/ryu-static-load-balancing | 7f3508ff8b135736150ad5c38b544d6e6ba90509 | [
"Apache-2.0"
] | null | null | null | topology.py | Patatone/ryu-static-load-balancing | 7f3508ff8b135736150ad5c38b544d6e6ba90509 | [
"Apache-2.0"
] | null | null | null | topology.py | Patatone/ryu-static-load-balancing | 7f3508ff8b135736150ad5c38b544d6e6ba90509 | [
"Apache-2.0"
] | null | null | null | from mininet.topo import Topo
from mininet.link import TCLink
class Topology(Topo):
def build(self):
# Hosts and switches
host1 = self.addHost('H1')
host2 = self.addHost('H2')
host3 = self.addHost('H3')
host4 = self.addHost('H4')
host5 = self.addHost('H5')
... | 39.357143 | 81 | 0.607985 | 156 | 1,102 | 4.294872 | 0.339744 | 0.114925 | 0.114925 | 0.156716 | 0.432836 | 0.432836 | 0.432836 | 0.346269 | 0.244776 | 0 | 0 | 0.121951 | 0.218693 | 1,102 | 27 | 82 | 40.814815 | 0.656214 | 0.021779 | 0 | 0 | 0 | 0 | 0.096744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 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 |
eff9cec3835ce08f6cdd64396a53993ba845ce23 | 5,155 | py | Python | JFJB.py | stevevai/JFJB-crawler | 182c8930e5e979ea9176452764e9494a17574b1f | [
"Apache-2.0"
] | 1 | 2019-04-14T16:28:28.000Z | 2019-04-14T16:28:28.000Z | JFJB.py | stevevai/JFJB-crawler | 182c8930e5e979ea9176452764e9494a17574b1f | [
"Apache-2.0"
] | null | null | null | JFJB.py | stevevai/JFJB-crawler | 182c8930e5e979ea9176452764e9494a17574b1f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 12 23:00:28 2018
@author: wangshuai
"""
import urllib
import urllib.request as urllib2
import http.cookiejar as cookielib
import io
import re
import gzip
from selenium import webdriver
import datetime
def get_Time():
begin = datetime.date(2016,1,1)
end = datetime.d... | 31.625767 | 156 | 0.49098 | 582 | 5,155 | 4.249141 | 0.314433 | 0.04448 | 0.020218 | 0.01941 | 0.125354 | 0.114032 | 0.077234 | 0.06389 | 0.06389 | 0.06389 | 0 | 0.029132 | 0.36741 | 5,155 | 162 | 157 | 31.820988 | 0.729224 | 0.098157 | 0 | 0.213675 | 0 | 0.008547 | 0.109001 | 0.005828 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059829 | false | 0 | 0.068376 | 0 | 0.213675 | 0.068376 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
effded4514a6e107993718820a8e681baef231bd | 4,743 | py | Python | spinup/examples/pg_math/1_simple_pg.py | MengTianjian/spinningup-pytorch | 6b9b87ed7a8140a52f3c86cc88f61428a9fd1176 | [
"MIT"
] | 1 | 2019-04-23T04:32:35.000Z | 2019-04-23T04:32:35.000Z | spinup/examples/pg_math/1_simple_pg.py | MengTianjian/spinningup-pytorch | 6b9b87ed7a8140a52f3c86cc88f61428a9fd1176 | [
"MIT"
] | null | null | null | spinup/examples/pg_math/1_simple_pg.py | MengTianjian/spinningup-pytorch | 6b9b87ed7a8140a52f3c86cc88f61428a9fd1176 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Categorical
import numpy as np
import gym
from gym.spaces import Discrete, Box
class MLP(nn.Module):
def __init__(self, obs_dim, sizes, activation=nn.Tanh, output_activation=None):
super(MLP, self).__init__()... | 37.346457 | 83 | 0.609741 | 604 | 4,743 | 4.619205 | 0.344371 | 0.012545 | 0.011828 | 0.027957 | 0.107527 | 0.044444 | 0.022222 | 0 | 0 | 0 | 0 | 0.007452 | 0.292642 | 4,743 | 126 | 84 | 37.642857 | 0.824143 | 0.185958 | 0 | 0 | 0 | 0.011905 | 0.077244 | 0 | 0 | 0 | 0 | 0 | 0.02381 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.178571 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
56027f5cae2f8100bbcabdb3f59b412acf2181e4 | 6,402 | py | Python | client/python/thegame/entity.py | afq984/thegame | 3769fffa281b7d5e8d1336d57e73c8e8d4d2289a | [
"MIT"
] | 3 | 2017-08-18T00:32:54.000Z | 2017-11-18T02:25:51.000Z | client/python/thegame/entity.py | afq984/thegame | 3769fffa281b7d5e8d1336d57e73c8e8d4d2289a | [
"MIT"
] | 3 | 2017-08-15T09:59:25.000Z | 2018-08-22T17:28:13.000Z | client/python/thegame/entity.py | afq984/thegame | 3769fffa281b7d5e8d1336d57e73c8e8d4d2289a | [
"MIT"
] | 1 | 2018-08-07T12:38:48.000Z | 2018-08-07T12:38:48.000Z | import collections
from thegame.abilities import Ability
Vector = collections.namedtuple('Vector', ('x', 'y'))
Vector.__doc__ = '''
A 2D vector.
Used to represent a point and velocity in thegame
'''
class _EntityAttribute:
def __init__(self, doc=None):
self.__doc__ = doc
def __set_name__(self, kla... | 25.710843 | 76 | 0.592002 | 745 | 6,402 | 4.871141 | 0.252349 | 0.015156 | 0.018187 | 0.01984 | 0.303114 | 0.283825 | 0.262882 | 0.262882 | 0.262882 | 0.250758 | 0 | 0.00113 | 0.308654 | 6,402 | 248 | 77 | 25.814516 | 0.818798 | 0.097001 | 0 | 0.335821 | 0 | 0 | 0.16112 | 0.049372 | 0 | 0 | 0 | 0 | 0 | 1 | 0.171642 | false | 0 | 0.014925 | 0.014925 | 0.477612 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bc69e662f7af10d0c2438ee8ea0f1bb00d372e9 | 3,456 | py | Python | services/web/project/__init__.py | shekharRavi/croationa_topic_api | a68bc69a69c5a6898b74ee0f3adf83b23d29b40b | [
"MIT"
] | null | null | null | services/web/project/__init__.py | shekharRavi/croationa_topic_api | a68bc69a69c5a6898b74ee0f3adf83b23d29b40b | [
"MIT"
] | null | null | null | services/web/project/__init__.py | shekharRavi/croationa_topic_api | a68bc69a69c5a6898b74ee0f3adf83b23d29b40b | [
"MIT"
] | null | null | null | import os
import json
# import wget
from flask import (
Flask,
jsonify,
send_from_directory,
request,
redirect,
url_for
)
from flask_sqlalchemy import SQLAlchemy
import werkzeug
werkzeug.cached_property = werkzeug.utils.cached_property
from werkzeug.utils import secure_filename
from werkzeug.mi... | 35.628866 | 109 | 0.739005 | 427 | 3,456 | 5.796253 | 0.259953 | 0.052525 | 0.064646 | 0.077576 | 0.416162 | 0.416162 | 0.360808 | 0.342626 | 0.310303 | 0.310303 | 0 | 0.000673 | 0.139757 | 3,456 | 96 | 110 | 36 | 0.83182 | 0.047743 | 0 | 0.246575 | 0 | 0 | 0.242996 | 0.025883 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054795 | false | 0 | 0.164384 | 0.027397 | 0.30137 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bc9a28e7931530bacfb9f635e9e8859c38140a3 | 1,460 | py | Python | scripts/inspect_docker.py | lijing1996/DockerMonitor | b1105e120d9079a0d24a90ef401221dfceeed7b6 | [
"Apache-2.0"
] | 1 | 2021-04-12T09:35:08.000Z | 2021-04-12T09:35:08.000Z | scripts/inspect_docker.py | lijing1996/DockerMonitor | b1105e120d9079a0d24a90ef401221dfceeed7b6 | [
"Apache-2.0"
] | null | null | null | scripts/inspect_docker.py | lijing1996/DockerMonitor | b1105e120d9079a0d24a90ef401221dfceeed7b6 | [
"Apache-2.0"
] | null | null | null | import argparse
import sys
import subprocess
import psutil
def insepect_process(pid):
"""Determine
1. is the process running in the container
2. if it's true, ourput the container id and the user
:return:
"""
assert psutil.pid_exists(pid), "The process doesn't exist"
try:
result = ... | 33.181818 | 113 | 0.678767 | 207 | 1,460 | 4.594203 | 0.410628 | 0.104101 | 0.068349 | 0.059937 | 0.18612 | 0.136698 | 0.136698 | 0 | 0 | 0 | 0 | 0.010274 | 0.2 | 1,460 | 44 | 114 | 33.181818 | 0.803938 | 0.116438 | 0 | 0 | 0 | 0 | 0.22573 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.034483 | false | 0 | 0.137931 | 0 | 0.206897 | 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 |
4bcbbf9c4a02cc75f67572b9d3e876126fc65c10 | 313 | py | Python | bin/bucrm.py | aelzenaar/bucephalus | 49cc084a5444ffbde2f850fc1f7b230d3bb8dfbc | [
"MIT"
] | null | null | null | bin/bucrm.py | aelzenaar/bucephalus | 49cc084a5444ffbde2f850fc1f7b230d3bb8dfbc | [
"MIT"
] | 12 | 2018-11-09T03:00:28.000Z | 2019-01-02T05:39:55.000Z | bin/bucrm.py | aelzenaar/bucephalus | 49cc084a5444ffbde2f850fc1f7b230d3bb8dfbc | [
"MIT"
] | null | null | null | import sys
import dbops
from pathlib import Path
if len(sys.argv) < 2:
print("Bucephalus Remove File Script")
print("Usage: " + sys.argv[0] + " <identifier>")
sys.exit()
sys.argv.pop(0)
ident = sys.argv.pop(0)
if dbops.remove_record_by_id(ident) == None:
print("*** Error: failed to remove record.")
| 18.411765 | 50 | 0.677316 | 49 | 313 | 4.265306 | 0.571429 | 0.133971 | 0.095694 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015267 | 0.162939 | 313 | 16 | 51 | 19.5625 | 0.782443 | 0 | 0 | 0 | 0 | 0 | 0.269231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0.272727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bcc388c3974bdfcd63888beb8ed71bb0fa61380 | 5,133 | py | Python | GUI/GUI_windows/TranslationLanguageWindow.py | Chenger1/stellaris-trpack | 5d85bbbc7374975b5da729899b5691ea77c16ea2 | [
"MIT"
] | 3 | 2020-07-23T00:32:06.000Z | 2020-10-09T18:05:56.000Z | GUI/GUI_windows/TranslationLanguageWindow.py | Chenger1/stellaris-trpack | 5d85bbbc7374975b5da729899b5691ea77c16ea2 | [
"MIT"
] | 105 | 2020-07-16T12:23:57.000Z | 2021-01-18T18:11:40.000Z | GUI/GUI_windows/TranslationLanguageWindow.py | Letiso/Stellaris-True-Machine-Translation-Tool | b80431c1c9b49c2482cb9aefa02eb0de62d7cc56 | [
"MIT"
] | 1 | 2020-07-15T13:30:57.000Z | 2020-07-15T13:30:57.000Z | """
↓ Инициализация данных ↓
"""
from PyQt5 import QtWidgets, QtCore
from GUI.GUI_windows_source import TranslationLanguage
from json import load, dump
from functools import partial
import copy
from scripts.stylesheets import choosen_lang_style, not_chosen_lang_style
class TranslationLa... | 37.742647 | 109 | 0.601403 | 543 | 5,133 | 5.574586 | 0.373849 | 0.03634 | 0.029732 | 0.029072 | 0.164519 | 0.113644 | 0.084242 | 0.084242 | 0.084242 | 0.058474 | 0 | 0.004861 | 0.27859 | 5,133 | 135 | 110 | 38.022222 | 0.810964 | 0.022794 | 0 | 0.183673 | 0 | 0 | 0.118743 | 0.004817 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102041 | false | 0 | 0.061224 | 0 | 0.204082 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bcdc5c2dfab2675a93de75f43fee73049b1f7fb | 1,347 | py | Python | demosauruswebapp/demosaurus/subject_headings.py | KBNLresearch/Demosaurus | 9235e315d9eef9d8d64f94a90ab4fc8220670ef2 | [
"Apache-2.0"
] | 1 | 2020-06-25T16:39:35.000Z | 2020-06-25T16:39:35.000Z | demosauruswebapp/demosaurus/subject_headings.py | KBNLresearch/Demosaurus | 9235e315d9eef9d8d64f94a90ab4fc8220670ef2 | [
"Apache-2.0"
] | 6 | 2020-03-06T12:31:38.000Z | 2021-09-20T15:08:17.000Z | demosauruswebapp/demosaurus/subject_headings.py | KBNLresearch/Demosaurus | 9235e315d9eef9d8d64f94a90ab4fc8220670ef2 | [
"Apache-2.0"
] | null | null | null | from flask import (
Blueprint, request)#, flash, g, redirect, render_template, get_template_attribute, url_for, jsonify
# )
# from werkzeug.exceptions import abort
import requests
# from demosaurus.db import get_db
# import pandas as pd
# from nltk.metrics import distance
# import re
# import numpy as np
bp = B... | 32.071429 | 104 | 0.697105 | 171 | 1,347 | 5.356725 | 0.461988 | 0.056769 | 0.058952 | 0.043668 | 0.150655 | 0.150655 | 0.150655 | 0.150655 | 0.150655 | 0.150655 | 0 | 0.006428 | 0.191537 | 1,347 | 42 | 105 | 32.071429 | 0.834711 | 0.197476 | 0 | 0.222222 | 0 | 0 | 0.242311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.074074 | 0 | 0.222222 | 0.259259 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bd7fb5f5d36389c2c5a61d083613ef4ed377538 | 15,928 | py | Python | moleculegen/estimation/model.py | sanjaradylov/moleculegen-ml | 4acb77244909cf8cfe4fb75461d4bed9b77f29f1 | [
"BSD-3-Clause"
] | 3 | 2021-11-18T11:41:21.000Z | 2022-02-08T22:01:20.000Z | moleculegen/estimation/model.py | sanjaradylov/moleculegen-ml | 4acb77244909cf8cfe4fb75461d4bed9b77f29f1 | [
"BSD-3-Clause"
] | 20 | 2019-12-12T11:47:32.000Z | 2021-06-02T07:55:18.000Z | moleculegen/estimation/model.py | sanjaradylov/moleculegen-ml | 4acb77244909cf8cfe4fb75461d4bed9b77f29f1 | [
"BSD-3-Clause"
] | 2 | 2019-12-23T08:17:01.000Z | 2022-02-08T22:01:21.000Z | """
Generative language models.
Classes
-------
SMILESEncoderDecoder
A generative recurrent neural network to encode-decode SMILES strings.
SMILESEncoderDecoderFineTuner
The fine-tuner of SMILESEncoderDecoder model.
"""
__all__ = (
'SMILESEncoderDecoder',
'SMILESEncoderDecoderFineTuner',
)
import jso... | 36.28246 | 89 | 0.597878 | 1,793 | 15,928 | 5.134412 | 0.123815 | 0.018249 | 0.011949 | 0.010428 | 0.516837 | 0.488051 | 0.47393 | 0.429503 | 0.42103 | 0.389746 | 0 | 0.004836 | 0.311966 | 15,928 | 438 | 90 | 36.365297 | 0.835204 | 0.338398 | 0 | 0.405172 | 0 | 0 | 0.121981 | 0.025771 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043103 | false | 0 | 0.034483 | 0 | 0.12069 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4be3c4c8872c7fe3765bcf529106a1cedf839f7c | 7,008 | py | Python | util/post_db.py | ReadMoa/web-service | f47c6cce471d97104074d403ab9ec39a08276213 | [
"MIT"
] | null | null | null | util/post_db.py | ReadMoa/web-service | f47c6cce471d97104074d403ab9ec39a08276213 | [
"MIT"
] | 21 | 2020-08-19T05:05:45.000Z | 2021-02-07T23:21:17.000Z | util/post_db.py | ReadMoa/web-service | f47c6cce471d97104074d403ab9ec39a08276213 | [
"MIT"
] | 1 | 2020-09-05T03:40:45.000Z | 2020-09-05T03:40:45.000Z | """PostDB class definition.
PostDB encapsualte interactions (lookup, scan, insert) with the posts table.
Typical usage example:
from post import Post
from post_db import PostDB
post_db = PostDB(mode = "dev")
post = Post(
post_url = "https://www.example.com/",
title = "Test",
main_image... | 36.884211 | 85 | 0.558219 | 841 | 7,008 | 4.413793 | 0.209275 | 0.028287 | 0.029095 | 0.036369 | 0.462284 | 0.412985 | 0.390894 | 0.356412 | 0.356412 | 0.333782 | 0 | 0.00996 | 0.355308 | 7,008 | 189 | 86 | 37.079365 | 0.811642 | 0.207192 | 0 | 0.227273 | 0 | 0 | 0.30577 | 0 | 0 | 0 | 0 | 0.005291 | 0 | 1 | 0.045455 | false | 0 | 0.036364 | 0 | 0.145455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4be4aa437d26726d4e8976afdb8dcefd45f45a42 | 9,491 | py | Python | plugins/leading_bot_mention.py | YukiSinonome/guided_bot | 3aff47c4192e9dae4ad4d95c1553a4752ce043cc | [
"MIT"
] | null | null | null | plugins/leading_bot_mention.py | YukiSinonome/guided_bot | 3aff47c4192e9dae4ad4d95c1553a4752ce043cc | [
"MIT"
] | null | null | null | plugins/leading_bot_mention.py | YukiSinonome/guided_bot | 3aff47c4192e9dae4ad4d95c1553a4752ce043cc | [
"MIT"
] | null | null | null | # coding: utf-8
from slackbot.bot import respond_to
from slacker import Slacker
import slackbot_settings
# @respond_to("疲れた")
# @respond_to("つかれた")
# def cheer(message):
# message.reply("ファイト!")
import MeCab
import random
import ChatBotScript
import SentenceGenerator
import datetime
import webbrowser
import time... | 38.425101 | 599 | 0.565272 | 1,085 | 9,491 | 4.852535 | 0.213825 | 0.193732 | 0.14359 | 0.0585 | 0.490218 | 0.459829 | 0.453941 | 0.409307 | 0.40057 | 0.376068 | 0 | 0.011006 | 0.310715 | 9,491 | 246 | 600 | 38.581301 | 0.793335 | 0.083658 | 0 | 0.391534 | 0 | 0 | 0.110059 | 0.026677 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0.005291 | 0.095238 | 0 | 0.169312 | 0.010582 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4be5a05c40ee31ef9f187f13c41d25d878a65ca6 | 7,099 | py | Python | Pix2Pix/Streamlit_Pix2Pix_Main.py | NB094/LHL_Final_Project | 5df15d7bbf33d51840ea274629591cd938f58fce | [
"Apache-2.0"
] | 2 | 2021-10-04T05:53:29.000Z | 2022-01-21T12:53:43.000Z | Pix2Pix/Streamlit_Pix2Pix_Main.py | NB094/LHL_Final_Project | 5df15d7bbf33d51840ea274629591cd938f58fce | [
"Apache-2.0"
] | null | null | null | Pix2Pix/Streamlit_Pix2Pix_Main.py | NB094/LHL_Final_Project | 5df15d7bbf33d51840ea274629591cd938f58fce | [
"Apache-2.0"
] | 1 | 2021-10-04T05:53:32.000Z | 2021-10-04T05:53:32.000Z | from PIL import Image
import streamlit as st
from streamlit_drawable_canvas import st_canvas
from Streamlit_Pix2Pix_Generator import Generator
import numpy as np
import urllib.request
from keras.preprocessing.image import load_img
from keras.models import load_model
import requests
# Page intro
st.title('Pix2Pix – See... | 41.273256 | 190 | 0.720947 | 1,022 | 7,099 | 4.900196 | 0.347358 | 0.007189 | 0.016773 | 0.006989 | 0.228834 | 0.171925 | 0.132388 | 0.120008 | 0.120008 | 0.120008 | 0 | 0.031649 | 0.172137 | 7,099 | 172 | 191 | 41.273256 | 0.820316 | 0.136357 | 0 | 0.196262 | 0 | 0.149533 | 0.250123 | 0.022977 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018692 | false | 0.018692 | 0.084112 | 0 | 0.121495 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4be8b0689a8d30b24d0eb351d73f642c1be6c5a9 | 4,584 | py | Python | rbs/rbs.py | dexbiobot/SML-Cogs | e8d3d12e5bf1d760196006f86a6c16ed95e3c964 | [
"MIT"
] | 17 | 2017-05-30T13:21:18.000Z | 2022-03-27T13:08:17.000Z | rbs/rbs.py | dexbiobot/SML-Cogs | e8d3d12e5bf1d760196006f86a6c16ed95e3c964 | [
"MIT"
] | 16 | 2017-06-11T12:55:06.000Z | 2019-02-20T21:00:59.000Z | rbs/rbs.py | dexbiobot/SML-Cogs | e8d3d12e5bf1d760196006f86a6c16ed95e3c964 | [
"MIT"
] | 17 | 2017-05-03T16:09:46.000Z | 2020-05-13T21:19:37.000Z | """
The MIT License (MIT)
Copyright (c) 2017 SML
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,... | 29.960784 | 75 | 0.648778 | 619 | 4,584 | 4.707593 | 0.365105 | 0.026424 | 0.028826 | 0.025738 | 0.106726 | 0.106726 | 0.096431 | 0.076527 | 0.076527 | 0.038435 | 0 | 0.00382 | 0.257635 | 4,584 | 152 | 76 | 30.157895 | 0.852483 | 0.272688 | 0 | 0.12987 | 0 | 0 | 0.119691 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051948 | false | 0.038961 | 0.077922 | 0 | 0.155844 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4beabadec3de979135423c3abb7be1e6a84c41ad | 2,845 | py | Python | tests/nutsflow/test_iterfunction.py | maet3608/nuts-flow | 0d7b8eefc80cb45c079b155ff5062d1d93ff2caf | [
"Apache-2.0"
] | 21 | 2017-05-01T10:15:41.000Z | 2022-01-25T07:02:44.000Z | tests/nutsflow/test_iterfunction.py | maet3608/nuts-flow | 0d7b8eefc80cb45c079b155ff5062d1d93ff2caf | [
"Apache-2.0"
] | 7 | 2017-02-09T03:36:37.000Z | 2017-08-22T11:23:03.000Z | tests/nutsflow/test_iterfunction.py | maet3608/nuts-flow | 0d7b8eefc80cb45c079b155ff5062d1d93ff2caf | [
"Apache-2.0"
] | 5 | 2017-05-30T01:56:31.000Z | 2020-10-05T08:21:43.000Z | """
.. module:: test_iterfunction
:synopsis: Unit tests for iterfunction module
"""
import time
import nutsflow.iterfunction as itf
from six.moves import range
def test_length():
assert itf.length(range(10)) == 10
assert itf.length([]) == 0
def test_interleave():
it1 = [1, 2]
it2 = 'abc'
it... | 23.319672 | 63 | 0.555712 | 422 | 2,845 | 3.687204 | 0.208531 | 0.122108 | 0.066838 | 0.012853 | 0.26928 | 0.154242 | 0.125964 | 0.09383 | 0.07455 | 0.07455 | 0 | 0.06215 | 0.247803 | 2,845 | 121 | 64 | 23.512397 | 0.664953 | 0.027417 | 0 | 0.121951 | 0 | 0 | 0.007617 | 0 | 0 | 0 | 0 | 0 | 0.341463 | 1 | 0.170732 | false | 0 | 0.04878 | 0 | 0.219512 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4beb4afba8d4e82f6ec0587a4a66ce29bdfa1be9 | 6,591 | py | Python | microcosm_flask/tests/conventions/test_upload.py | Sinon/microcosm-flask | c1404ebc94459c8156b04f5e04490a330117524c | [
"Apache-2.0"
] | 11 | 2017-01-30T21:53:20.000Z | 2020-05-29T22:39:19.000Z | microcosm_flask/tests/conventions/test_upload.py | Sinon/microcosm-flask | c1404ebc94459c8156b04f5e04490a330117524c | [
"Apache-2.0"
] | 139 | 2016-03-09T19:09:59.000Z | 2021-09-03T17:14:00.000Z | microcosm_flask/tests/conventions/test_upload.py | Sinon/microcosm-flask | c1404ebc94459c8156b04f5e04490a330117524c | [
"Apache-2.0"
] | 10 | 2016-12-19T22:39:42.000Z | 2021-03-09T19:23:15.000Z | """
Alias convention tests.
"""
from io import BytesIO
from json import loads
from uuid import uuid4
from hamcrest import (
all_of,
anything,
assert_that,
contains,
equal_to,
has_entries,
has_entry,
has_item,
has_key,
is_,
is_not,
)
from marshmallow import Schema, fields
fr... | 29.823529 | 103 | 0.576847 | 708 | 6,591 | 5.141243 | 0.193503 | 0.052198 | 0.022253 | 0.018681 | 0.401374 | 0.308242 | 0.297253 | 0.297253 | 0.263736 | 0.231044 | 0 | 0.007679 | 0.308451 | 6,591 | 220 | 104 | 29.959091 | 0.790917 | 0.029586 | 0 | 0.405556 | 0 | 0 | 0.081441 | 0.012216 | 0 | 0 | 0 | 0 | 0.105556 | 1 | 0.066667 | false | 0 | 0.072222 | 0 | 0.177778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bf119d7edb9acf18b1f1e428e435fcd728fc1f4 | 866 | py | Python | tests/check-result.py | getupcloud/tiny-controllers | e896b2015a9e29eab421225cb5a5f0d488df9e37 | [
"Apache-2.0"
] | null | null | null | tests/check-result.py | getupcloud/tiny-controllers | e896b2015a9e29eab421225cb5a5f0d488df9e37 | [
"Apache-2.0"
] | null | null | null | tests/check-result.py | getupcloud/tiny-controllers | e896b2015a9e29eab421225cb5a5f0d488df9e37 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sys
import json
from flatten_dict import flatten as _flatten
try:
data = json.load(sys.stdin)['object']
except Exception as ex:
print("Missing or invalid test data:", ex)
sys.exit(1)
try:
results = json.load(open(sys.argv[1], "r"))['results']
except Exception as ex:
p... | 23.405405 | 88 | 0.590069 | 137 | 866 | 3.686131 | 0.430657 | 0.041584 | 0.067327 | 0.075248 | 0.174257 | 0.174257 | 0.174257 | 0.174257 | 0.174257 | 0 | 0 | 0.007825 | 0.262125 | 866 | 36 | 89 | 24.055556 | 0.782473 | 0.023095 | 0 | 0.285714 | 0 | 0 | 0.173965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.107143 | 0.035714 | 0.178571 | 0.178571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bf224e8c8f4fa354c35d1431a9957707b55eb9b | 331 | py | Python | thriftpy2_httpx_client/__init__.py | hans00/ThriftPy2-HTTPX-Client | e94944218915bcec6b2e0c00200f5d5e6f823053 | [
"MIT"
] | null | null | null | thriftpy2_httpx_client/__init__.py | hans00/ThriftPy2-HTTPX-Client | e94944218915bcec6b2e0c00200f5d5e6f823053 | [
"MIT"
] | 5 | 2021-07-13T13:56:17.000Z | 2022-03-02T02:43:46.000Z | thriftpy2_httpx_client/__init__.py | hans00/ThriftPy2-HTTPX-Client | e94944218915bcec6b2e0c00200f5d5e6f823053 | [
"MIT"
] | 2 | 2021-07-13T06:08:59.000Z | 2022-03-16T22:15:57.000Z | __all__ = [
'make_aio_client',
'make_sync_client',
'TAsyncHTTPXClient',
'THTTPXClient',
]
from .aio import TAsyncHTTPXClient, make_client as make_aio_client
from .sync import THTTPXClient, make_client as make_sync_client
from ._version import get_versions
__version__ = get_versions()['version']
del ge... | 23.642857 | 66 | 0.770393 | 41 | 331 | 5.682927 | 0.341463 | 0.141631 | 0.111588 | 0.137339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148036 | 331 | 13 | 67 | 25.461538 | 0.826241 | 0 | 0 | 0 | 0 | 0 | 0.202417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 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 |
4bf41bde14de2173375d4d1e4381757de1699557 | 3,553 | py | Python | kalc/model/kinds/Node.py | KellyGriffin/kalc | 9b78c4177ed9ffccbf1ecfbf9a7946286cd7c583 | [
"Apache-2.0"
] | null | null | null | kalc/model/kinds/Node.py | KellyGriffin/kalc | 9b78c4177ed9ffccbf1ecfbf9a7946286cd7c583 | [
"Apache-2.0"
] | null | null | null | kalc/model/kinds/Node.py | KellyGriffin/kalc | 9b78c4177ed9ffccbf1ecfbf9a7946286cd7c583 | [
"Apache-2.0"
] | null | null | null | import sys
import random
from kalc.model.system.base import ModularKind
from typing import Set
from kalc.model.system.primitives import Label, StatusNode
from kalc.model.system.base import HasLabel
from kalc.misc.util import cpuConvertToAbstractProblem, memConvertToAbstractProblem
from kalc.misc.const import STATUS_NOD... | 33.838095 | 83 | 0.690684 | 386 | 3,553 | 6.170984 | 0.274611 | 0.020991 | 0.025189 | 0.031906 | 0.24937 | 0.201511 | 0.177162 | 0.177162 | 0.177162 | 0.177162 | 0 | 0.011632 | 0.225725 | 3,553 | 104 | 84 | 34.163462 | 0.854235 | 0.041092 | 0 | 0.204545 | 0 | 0 | 0.019712 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.022727 | 0.102273 | 0 | 0.488636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bf46aef0cec7975f957c42ac0e9212705e2eac4 | 6,154 | py | Python | Betsy/Betsy/modules/summarize_fastqc_results.py | jefftc/changlab | 11da8c415afefcba0b0216238387c75aeb3a56ac | [
"MIT"
] | 9 | 2017-01-13T02:38:41.000Z | 2021-04-08T00:44:39.000Z | Betsy/Betsy/modules/summarize_fastqc_results.py | jefftc/changlab | 11da8c415afefcba0b0216238387c75aeb3a56ac | [
"MIT"
] | null | null | null | Betsy/Betsy/modules/summarize_fastqc_results.py | jefftc/changlab | 11da8c415afefcba0b0216238387c75aeb3a56ac | [
"MIT"
] | 4 | 2017-01-05T16:25:25.000Z | 2019-12-12T20:07:38.000Z | from Module import AbstractModule
class Module(AbstractModule):
def __init__(self):
AbstractModule.__init__(self)
def run(
self, network, in_data, out_attributes, user_options, num_cores,
outfile):
import os
from genomicode import filelib
from genomicode import ... | 34.573034 | 76 | 0.614722 | 738 | 6,154 | 4.968835 | 0.218157 | 0.055631 | 0.014726 | 0.019089 | 0.1958 | 0.157349 | 0.115626 | 0.071993 | 0.042542 | 0.042542 | 0 | 0.011773 | 0.282255 | 6,154 | 177 | 77 | 34.768362 | 0.818429 | 0.128372 | 0 | 0.125984 | 0 | 0 | 0.09399 | 0 | 0 | 0 | 0 | 0 | 0.149606 | 1 | 0.055118 | false | 0 | 0.07874 | 0.007874 | 0.181102 | 0.007874 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bf674c2dd9e1aaac9f80a20682c800896278be3 | 792 | py | Python | propnet/models/__init__.py | nile0316/propnet | 3e1f1476c70a878c6eb43587c328d108b0e2a410 | [
"BSD-3-Clause-LBNL"
] | 57 | 2018-01-09T14:56:20.000Z | 2022-02-24T11:44:42.000Z | propnet/models/__init__.py | ruriboshi/propnet | 770703fb4fc344f785f89c02f26b31ea5733d2bd | [
"BSD-3-Clause-LBNL"
] | 214 | 2017-09-26T23:31:09.000Z | 2022-03-14T04:50:58.000Z | propnet/models/__init__.py | nile0316/propnet | 3e1f1476c70a878c6eb43587c328d108b0e2a410 | [
"BSD-3-Clause-LBNL"
] | 26 | 2017-10-29T21:34:22.000Z | 2022-01-12T05:59:12.000Z | # noinspection PyUnresolvedReferences
import propnet.symbols
from propnet.models import serialized, python, composite
from propnet.core.registry import Registry
# This is just to enable importing the model directly from this module for example code generation
def _update_globals():
for name, model in Registry("mo... | 33 | 98 | 0.792929 | 101 | 792 | 5.90099 | 0.376238 | 0.083893 | 0.107383 | 0.120805 | 0.300336 | 0.300336 | 0.300336 | 0.231544 | 0 | 0 | 0 | 0 | 0.141414 | 792 | 23 | 99 | 34.434783 | 0.876471 | 0.166667 | 0 | 0.133333 | 0 | 0 | 0.009132 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.2 | 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 |
4bf6a8cffebce41ae5095ad681541b2d2a477027 | 1,369 | py | Python | python/clean_dataset.py | catarinaacsilva/user_mapping_twitter | 7350ed35b465a7db6747c4035e7b119bff23131d | [
"MIT"
] | null | null | null | python/clean_dataset.py | catarinaacsilva/user_mapping_twitter | 7350ed35b465a7db6747c4035e7b119bff23131d | [
"MIT"
] | null | null | null | python/clean_dataset.py | catarinaacsilva/user_mapping_twitter | 7350ed35b465a7db6747c4035e7b119bff23131d | [
"MIT"
] | null | null | null |
import csv
import re
regex = re.compile('[^a-zA-Z]')
def f7(seq):
seen = set()
seen_add = seen.add
return [x for x in seq if not (x in seen or seen_add(x))]
def clean_dataset(screen_name, n_tweets=300):
# open CSV file
all_words = []
with open('%s_tweets.csv' % screen_name,... | 30.422222 | 89 | 0.519357 | 178 | 1,369 | 3.842697 | 0.477528 | 0.046784 | 0.038012 | 0.040936 | 0.137427 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0.013544 | 0.352812 | 1,369 | 44 | 90 | 31.113636 | 0.758465 | 0.127831 | 0 | 0 | 0 | 0 | 0.116462 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 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 |
4bf9bd37e91a5feca68c63420808cdbf5f96022e | 6,736 | py | Python | models/analysis_transform.py | LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention | 484aced5bea25fbc1ba1380f4ab81bda9b099c1e | [
"Apache-2.0"
] | 27 | 2021-07-28T01:33:02.000Z | 2022-03-18T04:01:02.000Z | models/analysis_transform.py | LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention | 484aced5bea25fbc1ba1380f4ab81bda9b099c1e | [
"Apache-2.0"
] | 5 | 2021-11-13T05:58:51.000Z | 2022-02-13T09:07:44.000Z | models/analysis_transform.py | LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention | 484aced5bea25fbc1ba1380f4ab81bda9b099c1e | [
"Apache-2.0"
] | 1 | 2021-08-21T13:14:28.000Z | 2021-08-21T13:14:28.000Z | #!/Library/Frameworks/Python.framework/Versions/3.5/bin/python3.5
import math
import torch.nn as nn
import torch
from .GDN import GDN
from .attention import Attention
# class Analysis_transform(nn.Module):
# def __init__(self, num_filters=128):
# super(Analysis_transform, self).__init__()
# self.co... | 38.936416 | 96 | 0.55478 | 911 | 6,736 | 3.899012 | 0.103183 | 0.152027 | 0.061937 | 0.101351 | 0.712838 | 0.530687 | 0.51661 | 0.497748 | 0.475788 | 0.449887 | 0 | 0.079393 | 0.315618 | 6,736 | 172 | 97 | 39.162791 | 0.691106 | 0.428593 | 0 | 0 | 0 | 0 | 0.002133 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024691 | false | 0 | 0.061728 | 0 | 0.111111 | 0.012346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bfb4d961bec58ff15fe5b25777f51138ea3c5dc | 1,516 | py | Python | tests/dataset_balancer_test.py | MarinkoBa/Hate-Speech-Classification | 72f6bbe93b823daefa138df4f81a3a4df5b34c4c | [
"MIT"
] | null | null | null | tests/dataset_balancer_test.py | MarinkoBa/Hate-Speech-Classification | 72f6bbe93b823daefa138df4f81a3a4df5b34c4c | [
"MIT"
] | null | null | null | tests/dataset_balancer_test.py | MarinkoBa/Hate-Speech-Classification | 72f6bbe93b823daefa138df4f81a3a4df5b34c4c | [
"MIT"
] | 1 | 2020-12-14T13:56:50.000Z | 2020-12-14T13:56:50.000Z | # -*- coding: utf-8 -*-
from src.utils.get_data import load_data
from src.utils.get_data import get_datasets
from src.utils.get_data import concatenate_datasets
from src.utils.dataset_balancer import balance_data
import os
import pandas as pd
import unittest
class TestDataBalancer(unittest.TestCase):
def setUp(... | 35.255814 | 110 | 0.550792 | 164 | 1,516 | 4.859756 | 0.347561 | 0.060226 | 0.060226 | 0.060226 | 0.397742 | 0.397742 | 0.223338 | 0.223338 | 0.186951 | 0.130489 | 0 | 0.008065 | 0.345646 | 1,516 | 42 | 111 | 36.095238 | 0.795363 | 0.013852 | 0 | 0.076923 | 0 | 0 | 0.089082 | 0.03081 | 0 | 0 | 0 | 0 | 0.115385 | 1 | 0.076923 | false | 0 | 0.269231 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4bfb89534390da200300df58f33c846fbb2cba39 | 12,695 | py | Python | gptorch/models/sparse_gpr.py | cics-nd/gptorch | 80c62a227c466bb7fa29e11263e94c41f96ff93f | [
"MIT"
] | 28 | 2018-11-05T03:01:18.000Z | 2021-04-02T18:11:05.000Z | gptorch/models/sparse_gpr.py | cics-nd/gptorch | 80c62a227c466bb7fa29e11263e94c41f96ff93f | [
"MIT"
] | 7 | 2019-06-04T21:43:40.000Z | 2021-11-04T04:19:26.000Z | gptorch/models/sparse_gpr.py | cics-nd/gptorch | 80c62a227c466bb7fa29e11263e94c41f96ff93f | [
"MIT"
] | 8 | 2019-04-03T12:28:05.000Z | 2021-12-23T10:15:34.000Z | #
# Yinhao Zhu, May 01, 2017
#
"""
Sparse GP regression, including variational GP and others.
"""
from __future__ import absolute_import
import torch
import numpy as np
from torch.utils.data import TensorDataset, DataLoader
from torch.distributions.transforms import LowerCholeskyTransform
from ..model import Param
f... | 33.232984 | 87 | 0.59228 | 1,653 | 12,695 | 4.421658 | 0.23533 | 0.04214 | 0.01505 | 0.025448 | 0.245451 | 0.189492 | 0.159256 | 0.154057 | 0.128882 | 0.128882 | 0 | 0.01253 | 0.308468 | 12,695 | 381 | 88 | 33.32021 | 0.820025 | 0.330209 | 0 | 0.270408 | 0 | 0 | 0.013033 | 0 | 0 | 0 | 0 | 0.005249 | 0.010204 | 1 | 0.056122 | false | 0.005102 | 0.061224 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef0025261578f6f3b594dd1953fdfd38e1b064c9 | 10,015 | py | Python | xyw_macro/notify.py | xue0228/keyboard | dcb0def1d87a9197676c0f405b980a67e128ab24 | [
"MIT"
] | null | null | null | xyw_macro/notify.py | xue0228/keyboard | dcb0def1d87a9197676c0f405b980a67e128ab24 | [
"MIT"
] | null | null | null | xyw_macro/notify.py | xue0228/keyboard | dcb0def1d87a9197676c0f405b980a67e128ab24 | [
"MIT"
] | null | null | null | import tkinter as tk
import tkinter.font as tf
from tkinter import ttk
from tkinter import messagebox
from tkinter.filedialog import askopenfilename, askdirectory
import time
import threading
from functools import wraps
from xyw_macro.utils import SingletonType
from xyw_macro.contants import SLEEP_TIME
class Notifi... | 30.348485 | 120 | 0.563155 | 1,177 | 10,015 | 4.62192 | 0.203059 | 0.028309 | 0.012868 | 0.016176 | 0.270772 | 0.239154 | 0.192096 | 0.182904 | 0.175368 | 0.152574 | 0 | 0.009987 | 0.310135 | 10,015 | 329 | 121 | 30.440729 | 0.777392 | 0.081877 | 0 | 0.209302 | 0 | 0 | 0.042174 | 0.006879 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12093 | false | 0 | 0.046512 | 0 | 0.251163 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef0469d45705f95287d4ed042d4ea25304eabf8c | 3,217 | py | Python | tests/test_data/movies.py | jmolinski/traktpy | e6ff22acaf273b7b45070a4f8938c210fe4d63d7 | [
"MIT"
] | null | null | null | tests/test_data/movies.py | jmolinski/traktpy | e6ff22acaf273b7b45070a4f8938c210fe4d63d7 | [
"MIT"
] | 1 | 2019-04-13T10:15:48.000Z | 2019-04-13T10:15:48.000Z | tests/test_data/movies.py | jmolinski/traktpy | e6ff22acaf273b7b45070a4f8938c210fe4d63d7 | [
"MIT"
] | null | null | null | MOVIE1 = {
"title": "Guardians of the Galaxy",
"year": 2014,
"ids": {
"trakt": 28,
"slug": "guardians-of-the-galaxy-2014",
"imdb": "tt2015381",
"tmdb": 118340,
},
}
MOVIE2 = {
"title": "Guardians of the Galaxy",
"year": 2014,
"ids": {
"trakt": 28,
... | 22.496503 | 269 | 0.520361 | 337 | 3,217 | 4.893175 | 0.540059 | 0.040024 | 0.03396 | 0.048514 | 0.213463 | 0.15282 | 0.114008 | 0.114008 | 0.114008 | 0.114008 | 0 | 0.135512 | 0.286602 | 3,217 | 142 | 270 | 22.65493 | 0.583007 | 0 | 0 | 0.19685 | 0 | 0.007874 | 0.416226 | 0.039167 | 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 |
ef05389e99b6d9f3d5e451c4f3f4a586cd843bd5 | 7,580 | py | Python | lib/FeatureSetUtils/Utils/AveExpressionMatrixBuilder.py | mclark58/FeatureSetUtils | 2b84bc40d6a8f8aec878aa965ca567537c67267e | [
"MIT"
] | 1 | 2020-01-13T19:38:50.000Z | 2020-01-13T19:38:50.000Z | lib/FeatureSetUtils/Utils/AveExpressionMatrixBuilder.py | mclark58/FeatureSetUtils | 2b84bc40d6a8f8aec878aa965ca567537c67267e | [
"MIT"
] | 6 | 2017-09-19T17:46:03.000Z | 2020-06-09T04:28:36.000Z | lib/FeatureSetUtils/Utils/AveExpressionMatrixBuilder.py | mclark58/FeatureSetUtils | 2b84bc40d6a8f8aec878aa965ca567537c67267e | [
"MIT"
] | 9 | 2017-06-30T16:01:48.000Z | 2020-08-13T20:19:42.000Z | import json
import time
import uuid
from installed_clients.DataFileUtilClient import DataFileUtil
from installed_clients.KBaseReportClient import KBaseReport
from installed_clients.WorkspaceClient import Workspace as Workspace
def log(message, prefix_newline=False):
"""Logging function, provides a hook to suppre... | 41.648352 | 98 | 0.61504 | 797 | 7,580 | 5.501882 | 0.2133 | 0.15325 | 0.060661 | 0.058381 | 0.123603 | 0.031471 | 0 | 0 | 0 | 0 | 0 | 0.003543 | 0.292612 | 7,580 | 181 | 99 | 41.878453 | 0.814248 | 0.120844 | 0 | 0.018018 | 0 | 0 | 0.141445 | 0.03567 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.054054 | 0 | 0.144144 | 0.009009 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef071178a07b347765b3a959b7f835718f3934a3 | 588 | py | Python | s3bro/pool_map.py | rsavordelli/s3bro | e5b1d41052fd2491c08589b8a2bffeb6aae7cf33 | [
"MIT"
] | 22 | 2018-03-13T18:46:33.000Z | 2021-11-03T09:41:39.000Z | s3bro/pool_map.py | rsavordelli/s3bro | e5b1d41052fd2491c08589b8a2bffeb6aae7cf33 | [
"MIT"
] | 5 | 2018-06-26T21:39:06.000Z | 2020-08-03T12:53:10.000Z | s3bro/pool_map.py | rsavordelli/s3bro | e5b1d41052fd2491c08589b8a2bffeb6aae7cf33 | [
"MIT"
] | 2 | 2019-09-04T06:40:09.000Z | 2020-07-06T01:56:44.000Z | from multiprocessing import Pool
import logging
def multi_process(func, data, workers):
logging.warning('Consuming list with %s workers' % workers)
p = Pool(workers)
try:
# the timeout(.get(9999999) is a workaround for the KeyboardInterrupt. without that it just does not work.
# Seem to be... | 32.666667 | 114 | 0.690476 | 75 | 588 | 5.386667 | 0.706667 | 0.039604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030905 | 0.229592 | 588 | 17 | 115 | 34.588235 | 0.860927 | 0.284014 | 0 | 0 | 0 | 0 | 0.179856 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.25 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef07256f31589e2d434bffa64e958f93097dc4b3 | 11,290 | py | Python | htmlmth/utils.py | ZwCreatePhoton/htmlmth | 74d23ca2fa53e11b2587251d2f71c8f275548182 | [
"MIT"
] | null | null | null | htmlmth/utils.py | ZwCreatePhoton/htmlmth | 74d23ca2fa53e11b2587251d2f71c8f275548182 | [
"MIT"
] | null | null | null | htmlmth/utils.py | ZwCreatePhoton/htmlmth | 74d23ca2fa53e11b2587251d2f71c8f275548182 | [
"MIT"
] | null | null | null | import os
import yaml
from HTMLScriptExtractor import HTMLScriptExtractor
MIME_TYPE_MAP = {
'.htm': 'text/html',
'.html': 'text/html',
'.js': 'text/javascript',
'.vbs': 'text/vbscript',
'.txt': 'text/plain',
'.jpg': 'image/jpeg',
'.jpeg': 'image/jpeg'
}
# input:
# a function "mime_ty... | 35.84127 | 184 | 0.615766 | 1,288 | 11,290 | 5.184783 | 0.162267 | 0.023959 | 0.037736 | 0.010482 | 0.300988 | 0.22941 | 0.221923 | 0.193471 | 0.193471 | 0.193471 | 0 | 0.001363 | 0.285297 | 11,290 | 314 | 185 | 35.955414 | 0.826249 | 0.132418 | 0 | 0.310484 | 0 | 0 | 0.043518 | 0 | 0 | 0 | 0 | 0.003185 | 0 | 1 | 0.129032 | false | 0.004032 | 0.012097 | 0.020161 | 0.298387 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef0a465c711275ee344dd982144bb689f29fa28c | 4,409 | py | Python | tests/test_models.py | rramaa/pynnotate | 7cf983dd16726032d3d53340415a823c9e8bd76c | [
"MIT"
] | 1 | 2019-07-24T12:56:16.000Z | 2019-07-24T12:56:16.000Z | tests/test_models.py | rramaa/pynnotate | 7cf983dd16726032d3d53340415a823c9e8bd76c | [
"MIT"
] | 14 | 2019-03-12T08:49:34.000Z | 2019-04-04T09:51:16.000Z | tests/test_models.py | rramaa/pynnotate | 7cf983dd16726032d3d53340415a823c9e8bd76c | [
"MIT"
] | 2 | 2019-10-13T14:45:11.000Z | 2019-12-24T22:22:46.000Z | from annotatelib.models import (
models, class_from_filename,
table_name_from_filename, _get_column_description_from_object,
_get_indices_description_from_oject
)
import sqlite3
from orator import DatabaseManager
import os
import sys
sys.path.insert(0, os.path.abspath(
os.path.join(os.path.dirname(__fil... | 41.205607 | 148 | 0.577682 | 479 | 4,409 | 5.100209 | 0.227557 | 0.039296 | 0.074499 | 0.088825 | 0.557102 | 0.487106 | 0.460909 | 0.431437 | 0.431437 | 0.379042 | 0 | 0.011452 | 0.267181 | 4,409 | 106 | 149 | 41.59434 | 0.744661 | 0.01066 | 0 | 0.211765 | 0 | 0 | 0.344804 | 0.004818 | 0 | 0 | 0 | 0 | 0.070588 | 1 | 0.105882 | false | 0 | 0.058824 | 0 | 0.164706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef0f95f25a14e3a1c31217d9a079a1f1c52c743d | 541 | py | Python | pps/message.py | SeungUkLee/preview-pipfile-script | d28d963f1feee9ed1621a04b25c02d34a0919829 | [
"MIT"
] | null | null | null | pps/message.py | SeungUkLee/preview-pipfile-script | d28d963f1feee9ed1621a04b25c02d34a0919829 | [
"MIT"
] | null | null | null | pps/message.py | SeungUkLee/preview-pipfile-script | d28d963f1feee9ed1621a04b25c02d34a0919829 | [
"MIT"
] | null | null | null | """
messages
"""
from .color import ENDC, FAIL, OKBLUE, YELLOW
EXE_SCRIPT_ERR_MSG = '{0}[!]{1} An error occurred while executing script in Pipfile'.format(
FAIL, ENDC
)
KEYWORD_NOT_FOUND_MSG = "{0}[!]{1} {2}Pipfile{1} in {3}[scripts]{1} keyword not found!".format(
FAIL, ENDC, OKBLUE, YELLOW
)
FILE_NOT_FOUND_MS... | 31.823529 | 95 | 0.685767 | 82 | 541 | 4.378049 | 0.439024 | 0.05571 | 0.05571 | 0.066852 | 0.278552 | 0.278552 | 0.122563 | 0.122563 | 0 | 0 | 0 | 0.034261 | 0.136784 | 541 | 16 | 96 | 33.8125 | 0.734475 | 0.014787 | 0 | 0 | 0 | 0.083333 | 0.413333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef1093497c62d32b5e459bb8bfbe26c27ca18a49 | 2,101 | py | Python | lambdafunctions/LogEvent/LogEvent.py | rpetrina/slack-sentiment-bot | 47969d8a8c476aa60939fab88f0af793a24a4acc | [
"MIT"
] | null | null | null | lambdafunctions/LogEvent/LogEvent.py | rpetrina/slack-sentiment-bot | 47969d8a8c476aa60939fab88f0af793a24a4acc | [
"MIT"
] | null | null | null | lambdafunctions/LogEvent/LogEvent.py | rpetrina/slack-sentiment-bot | 47969d8a8c476aa60939fab88f0af793a24a4acc | [
"MIT"
] | null | null | null | import sys
import logging
import pymysql
import json
import os
#rds settings - Lambda role must have RDS access
rds_host = os.environ['RDS_HOST'] # Set in Lambda Dashboard
name = os.environ['DB_USERNAME']
password = os.environ['DB_PW']
db_name = os.environ['DB_NAME']
db_table = os.environ['DB_TABLE']
logger = loggin... | 29.180556 | 107 | 0.619229 | 250 | 2,101 | 5.12 | 0.524 | 0.035156 | 0.034375 | 0.023438 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007106 | 0.263208 | 2,101 | 71 | 108 | 29.591549 | 0.819767 | 0.174203 | 0 | 0.08 | 0 | 0 | 0.186827 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0.04 | 0.1 | 0 | 0.2 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef12df78f36f2adabef28423fa54313ee1270534 | 1,707 | py | Python | data/build_wd_elastic_index.py | flaneuse/reframedb-backend | 863423fb9fad547aa8c2f826dc2d39939fe1b991 | [
"MIT"
] | null | null | null | data/build_wd_elastic_index.py | flaneuse/reframedb-backend | 863423fb9fad547aa8c2f826dc2d39939fe1b991 | [
"MIT"
] | null | null | null | data/build_wd_elastic_index.py | flaneuse/reframedb-backend | 863423fb9fad547aa8c2f826dc2d39939fe1b991 | [
"MIT"
] | null | null | null | import requests
from elasticsearch import Elasticsearch, client
from elasticsearch.exceptions import RequestError
es = Elasticsearch()
# retrieve all QIDs from the populated reframe ES index
body = {
"_source": {
"includes": ["qid"],
},
"query": {
"query_string": {
"query": "... | 21.884615 | 91 | 0.565319 | 200 | 1,707 | 4.785 | 0.445 | 0.081505 | 0.047022 | 0.039707 | 0.068966 | 0.068966 | 0.068966 | 0 | 0 | 0 | 0 | 0.012048 | 0.27065 | 1,707 | 77 | 92 | 22.168831 | 0.756627 | 0.088459 | 0 | 0.038462 | 0 | 0 | 0.193798 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef1825ce5af0c1bb4c24887ac8d1e612fd32ac97 | 5,383 | py | Python | ena-dts/framework/rst.py | amzn/amzn-ec2-ena-utilities | 99502ff5bb025dc71727d4991ea5e29a4e9388c6 | [
"MIT-0"
] | 7 | 2021-04-29T05:23:56.000Z | 2022-03-23T02:26:55.000Z | ena-dts/framework/rst.py | amzn/amzn-ec2-ena-utilities | 99502ff5bb025dc71727d4991ea5e29a4e9388c6 | [
"MIT-0"
] | null | null | null | ena-dts/framework/rst.py | amzn/amzn-ec2-ena-utilities | 99502ff5bb025dc71727d4991ea5e29a4e9388c6 | [
"MIT-0"
] | 4 | 2021-06-10T19:02:57.000Z | 2021-12-06T01:31:06.000Z | # BSD LICENSE
#
# Copyright(c) 2010-2014 Intel Corporation. All rights reserved.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copy... | 33.228395 | 75 | 0.583132 | 668 | 5,383 | 4.646707 | 0.333832 | 0.020296 | 0.006443 | 0.008054 | 0.147874 | 0.105348 | 0.105348 | 0.105348 | 0.105348 | 0.06701 | 0 | 0.006107 | 0.30039 | 5,383 | 161 | 76 | 33.434783 | 0.818109 | 0.347576 | 0 | 0.22973 | 0 | 0 | 0.06638 | 0.008587 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121622 | false | 0 | 0.054054 | 0 | 0.189189 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef19d273749fc5c7cda4c1d9c7f1b0e4fb378f5e | 30,467 | py | Python | mutation.py | nklapste/mutation | 28eb3eaa3173f0a9cfcd22c2cabe6d0c87f50dfa | [
"MIT"
] | null | null | null | mutation.py | nklapste/mutation | 28eb3eaa3173f0a9cfcd22c2cabe6d0c87f50dfa | [
"MIT"
] | null | null | null | mutation.py | nklapste/mutation | 28eb3eaa3173f0a9cfcd22c2cabe6d0c87f50dfa | [
"MIT"
] | null | null | null | """Mutation.
Usage:
mutation play [--verbose] [--exclude=<globs>] [--only-deadcode-detection] [--include=<globs>] [--sampling=<s>] [--randomly-seed=<n>] [--max-workers=<n>] [<file-or-directory> ...] [-- TEST-COMMAND ...]
mutation replay [--verbose] [--max-workers=<n>]
mutation list
mutation show MUTATION
mut... | 28.961027 | 202 | 0.573046 | 3,612 | 30,467 | 4.764396 | 0.16113 | 0.018595 | 0.01046 | 0.007438 | 0.260096 | 0.224127 | 0.174908 | 0.157243 | 0.148004 | 0.12569 | 0 | 0.009253 | 0.301178 | 30,467 | 1,051 | 203 | 28.988582 | 0.798835 | 0.079397 | 0 | 0.280632 | 0 | 0 | 0.097855 | 0.004147 | 0 | 0 | 0 | 0.000951 | 0.001318 | 1 | 0.072464 | false | 0.011858 | 0.046113 | 0.01581 | 0.201581 | 0.002635 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef1a0f68bf7e4627785fe119d1363f10a767d348 | 1,058 | py | Python | main.py | bijilap/ColorRecognition | a070645e5bda40c0d06d03db468f31c79b63d0bd | [
"Apache-2.0"
] | 2 | 2018-03-29T12:15:04.000Z | 2019-01-09T02:09:41.000Z | main.py | bijilap/ColorRecognition | a070645e5bda40c0d06d03db468f31c79b63d0bd | [
"Apache-2.0"
] | null | null | null | main.py | bijilap/ColorRecognition | a070645e5bda40c0d06d03db468f31c79b63d0bd | [
"Apache-2.0"
] | null | null | null | import argparse
from ColorDetector import ColorDetector
def main():
detector = ColorDetector()
parser = argparse.ArgumentParser()
# --k : number of clusters, --image: image path, --debug: debug level
parser.add_argument("--k", nargs=1, type=int, help='maximum number of colors to be identified. Default:... | 30.228571 | 111 | 0.660681 | 152 | 1,058 | 4.473684 | 0.361842 | 0.052941 | 0.1 | 0.057353 | 0.075 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015495 | 0.206994 | 1,058 | 34 | 112 | 31.117647 | 0.794994 | 0.063327 | 0 | 0 | 0 | 0 | 0.211325 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.083333 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef1beeeb227406f72c9053a339254f85199fda6b | 2,062 | py | Python | app/app.py | tigpt/docker-flask-postgres | ba0b192afe77e6946c8e49574def3533ea0f1181 | [
"MIT"
] | null | null | null | app/app.py | tigpt/docker-flask-postgres | ba0b192afe77e6946c8e49574def3533ea0f1181 | [
"MIT"
] | null | null | null | app/app.py | tigpt/docker-flask-postgres | ba0b192afe77e6946c8e49574def3533ea0f1181 | [
"MIT"
] | null | null | null | from elasticapm.contrib.flask import ElasticAPM
import os
from flask import Flask, request, render_template
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
APP = Flask(__name__)
APP.config['ELASTIC_APM'] = {
}
apm = ElasticAPM(APP)
APP.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
APP.co... | 25.775 | 90 | 0.70805 | 264 | 2,062 | 5.359848 | 0.306818 | 0.079152 | 0.09894 | 0.070671 | 0.135689 | 0.135689 | 0.090459 | 0.090459 | 0.090459 | 0.090459 | 0 | 0.004585 | 0.153734 | 2,062 | 80 | 91 | 25.775 | 0.806304 | 0.083414 | 0 | 0.145455 | 0 | 0 | 0.175252 | 0.070101 | 0 | 0 | 0 | 0 | 0 | 1 | 0.127273 | false | 0.018182 | 0.109091 | 0.018182 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef1e04b7ef6eaf43f6fa7d6f871605144e4d447e | 8,836 | py | Python | scrapers/meetings/fetch_meetings.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 2 | 2015-04-11T12:22:41.000Z | 2016-08-18T11:12:06.000Z | scrapers/meetings/fetch_meetings.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 84 | 2015-01-22T14:33:49.000Z | 2015-04-01T23:15:29.000Z | scrapers/meetings/fetch_meetings.py | spudmind/spud | 86e44bca4efd3cd6358467e1511048698a45edbc | [
"MIT"
] | 1 | 2015-04-16T03:10:39.000Z | 2015-04-16T03:10:39.000Z | # -*- coding: utf-8 -*-
from datetime import datetime
import logging
import os.path
import requests
import time
import urllib
from bs4 import BeautifulSoup
from utils import mongo
class FetchMeetings:
def __init__(self, **kwargs):
# fetch the logger
self._logger = logging.getLogger("spud")
... | 46.26178 | 175 | 0.563943 | 964 | 8,836 | 4.973029 | 0.201245 | 0.025031 | 0.031289 | 0.012516 | 0.20776 | 0.175845 | 0.116187 | 0.116187 | 0.109303 | 0.094285 | 0 | 0.003855 | 0.324808 | 8,836 | 190 | 176 | 46.505263 | 0.799698 | 0.078542 | 0 | 0.228758 | 0 | 0 | 0.132619 | 0.009358 | 0 | 0 | 0 | 0.005263 | 0 | 1 | 0.052288 | false | 0 | 0.052288 | 0 | 0.130719 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef21cfd36477df2859e374f71d6a0bbf86ff8519 | 561 | py | Python | tests/settings.py | managedbyq/mbq.atomiq | 23edd33e8b958cfd9257ea62a107d8bb793ff3b9 | [
"Apache-2.0"
] | null | null | null | tests/settings.py | managedbyq/mbq.atomiq | 23edd33e8b958cfd9257ea62a107d8bb793ff3b9 | [
"Apache-2.0"
] | 9 | 2018-09-17T20:50:43.000Z | 2018-12-07T21:19:56.000Z | tests/settings.py | managedbyq/mbq.atomiq | 23edd33e8b958cfd9257ea62a107d8bb793ff3b9 | [
"Apache-2.0"
] | null | null | null | import os
import boto3
import dj_database_url
from mbq import env, metrics
SECRET_KEY = 'fake-key'
DEBUG = True
ATOMIQ = {
'env': 'Test',
'service': 'test-service',
}
database_url = os.environ.get('DATABASE_URL', 'mysql://root:@mysql:3306/atomiqdb')
DATABASES = {
'default': dj_database_url.parse(databa... | 16.5 | 82 | 0.695187 | 79 | 561 | 4.721519 | 0.544304 | 0.147453 | 0.069705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014644 | 0.14795 | 561 | 33 | 83 | 17 | 0.76569 | 0 | 0 | 0 | 0 | 0 | 0.224599 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.173913 | 0 | 0.173913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef25471191ad1db593810b69150f45edb9dc331e | 2,615 | py | Python | WickContractions/ops/indexed.py | chrisculver/WickContractions | a36af32bdd049789faf42d24d168c4073fc45ed0 | [
"MIT"
] | 2 | 2021-08-03T17:32:09.000Z | 2021-08-03T18:28:31.000Z | WickContractions/ops/indexed.py | chrisculver/WickContractions | a36af32bdd049789faf42d24d168c4073fc45ed0 | [
"MIT"
] | null | null | null | WickContractions/ops/indexed.py | chrisculver/WickContractions | a36af32bdd049789faf42d24d168c4073fc45ed0 | [
"MIT"
] | null | null | null | from collections import deque
class IndexedObject:
"""Container for an object that has indices
:param name: Name of the object
:param indices: Indices attached to it
"""
def __init__(self,name,indices):
"""Constructor
"""
self.name = name
self.indices = indic... | 30.406977 | 111 | 0.549522 | 293 | 2,615 | 4.726962 | 0.211604 | 0.111191 | 0.06065 | 0.073646 | 0.612274 | 0.52491 | 0.52491 | 0.450542 | 0.450542 | 0.450542 | 0 | 0.002278 | 0.328489 | 2,615 | 86 | 112 | 30.406977 | 0.786446 | 0.213002 | 0 | 0.530612 | 0 | 0 | 0.005658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.183673 | false | 0 | 0.020408 | 0 | 0.408163 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef29d7cb4df5849c15653808babb4473a2403757 | 874 | py | Python | python/sagiri-bot/SAGIRIBOT/data_manage/update_data/update_setting.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | python/sagiri-bot/SAGIRIBOT/data_manage/update_data/update_setting.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | python/sagiri-bot/SAGIRIBOT/data_manage/update_data/update_setting.py | GG-yuki/bugs | aabd576e9e57012a3390007af890b7c6ab6cdda8 | [
"MIT"
] | null | null | null | from SAGIRIBOT.basics.aio_mysql_excute import execute_sql
async def update_setting(group_id, setting_name, new_setting_value) -> None:
"""
Update setting to database
Args:
group_id: Group id
setting_name: Setting name
new_setting_value: New setting value
Examples:
awa... | 31.214286 | 105 | 0.662471 | 117 | 874 | 4.65812 | 0.393162 | 0.181651 | 0.137615 | 0.154128 | 0.341284 | 0.245872 | 0.245872 | 0.245872 | 0.245872 | 0.245872 | 0 | 0.014859 | 0.229977 | 874 | 27 | 106 | 32.37037 | 0.794948 | 0 | 0 | 0 | 0 | 0 | 0.21129 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef3678c7e21e6c165bc6c6b597bc9cfc9cfa52bc | 10,380 | py | Python | examples/tutorial/example4.py | sathiscode/trumania | bcf21c4f9e1ff0fe03fd9cbe2dc367f0df033fbc | [
"Apache-2.0"
] | 97 | 2018-01-15T19:29:31.000Z | 2022-03-11T00:27:34.000Z | examples/tutorial/example4.py | sathiscode/trumania | bcf21c4f9e1ff0fe03fd9cbe2dc367f0df033fbc | [
"Apache-2.0"
] | 10 | 2018-01-15T22:44:55.000Z | 2022-02-18T09:44:10.000Z | examples/tutorial/example4.py | sathiscode/trumania | bcf21c4f9e1ff0fe03fd9cbe2dc367f0df033fbc | [
"Apache-2.0"
] | 33 | 2018-01-15T19:34:23.000Z | 2022-03-05T22:39:33.000Z | from trumania.core import circus
import trumania.core.population as population
import trumania.core.random_generators as gen
import trumania.core.operations as ops
import trumania.core.story as story
import trumania.components.time_patterns.profilers as profilers
import trumania.core.util_functions as util_functions
im... | 34.832215 | 87 | 0.657225 | 1,251 | 10,380 | 5.213429 | 0.27498 | 0.019319 | 0.038332 | 0.042932 | 0.315547 | 0.25667 | 0.228458 | 0.205765 | 0.205765 | 0.205765 | 0 | 0.014798 | 0.257803 | 10,380 | 297 | 88 | 34.949495 | 0.831776 | 0.218593 | 0 | 0.245989 | 0 | 0 | 0.117749 | 0.002851 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037433 | false | 0 | 0.048128 | 0.005348 | 0.101604 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef3d18dad9fb4f3ea7850ca0af729153b0fd6bb6 | 1,828 | py | Python | hyperparameter_tuner/run_command_generator.py | chutien/zpp-mem | 470dec89dda475f7272b876f191cef9f8266a6dc | [
"MIT"
] | 1 | 2019-10-22T11:33:23.000Z | 2019-10-22T11:33:23.000Z | hyperparameter_tuner/run_command_generator.py | chutien/zpp-mem | 470dec89dda475f7272b876f191cef9f8266a6dc | [
"MIT"
] | null | null | null | hyperparameter_tuner/run_command_generator.py | chutien/zpp-mem | 470dec89dda475f7272b876f191cef9f8266a6dc | [
"MIT"
] | null | null | null | from itertools import product
from hyperparameter_tuner.single_parameter_generator import single_parameter_generator as sgen
class run_command_generator():
def __init__(self, single_parameter_generator_list, command_prefix="python ../experiment.py",
output_path="./results"):
for gen in s... | 46.871795 | 116 | 0.650438 | 213 | 1,828 | 5.211268 | 0.338028 | 0.09009 | 0.172973 | 0.151351 | 0.189189 | 0.073874 | 0.073874 | 0 | 0 | 0 | 0 | 0.027523 | 0.224836 | 1,828 | 38 | 117 | 48.105263 | 0.755822 | 0 | 0 | 0 | 0 | 0.068966 | 0.136214 | 0.036652 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.103448 | false | 0 | 0.068966 | 0.034483 | 0.241379 | 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 |
ef41254ab69ff27661576195222b554a1c94e4da | 6,158 | py | Python | src/inscriptis/model/canvas/__init__.py | rlskoeser/inscriptis | e23f79a4ad561f53943c3c6dd70a7d4981b0e0fb | [
"Apache-2.0"
] | 90 | 2016-01-29T15:09:21.000Z | 2022-03-08T15:08:57.000Z | src/inscriptis/model/canvas/__init__.py | rlskoeser/inscriptis | e23f79a4ad561f53943c3c6dd70a7d4981b0e0fb | [
"Apache-2.0"
] | 27 | 2016-01-14T10:30:10.000Z | 2022-03-24T08:00:31.000Z | src/inscriptis/model/canvas/__init__.py | rlskoeser/inscriptis | e23f79a4ad561f53943c3c6dd70a7d4981b0e0fb | [
"Apache-2.0"
] | 20 | 2016-01-14T12:50:55.000Z | 2022-03-04T07:26:30.000Z | #!/usr/bin/env python
# encoding: utf-8
"""Classes used for rendering (parts) of the canvas.
Every parsed :class:`~inscriptis.model.html_element.HtmlElement` writes its
textual content to the canvas which is managed by the following three classes:
- :class:`Canvas` provides the drawing board on which the HTML page... | 38.248447 | 79 | 0.636733 | 758 | 6,158 | 5.030343 | 0.228232 | 0.084972 | 0.092316 | 0.029898 | 0.278521 | 0.215578 | 0.169945 | 0.150538 | 0.140047 | 0.116968 | 0 | 0.002253 | 0.279149 | 6,158 | 160 | 80 | 38.4875 | 0.856724 | 0.37025 | 0 | 0.194805 | 0 | 0 | 0.016271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.064935 | 0 | 0.298701 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef44efdf1df1a7a380310f517a87f13a57e2f804 | 1,832 | py | Python | server/app.py | Catsvilles/Lofi | f3a783a5ba3e80e6c8f958990f6f09767d25a48e | [
"Apache-2.0"
] | 27 | 2021-07-14T17:12:29.000Z | 2022-03-18T16:15:18.000Z | server/app.py | Catsvilles/Lofi | f3a783a5ba3e80e6c8f958990f6f09767d25a48e | [
"Apache-2.0"
] | 3 | 2021-08-29T11:22:04.000Z | 2022-02-16T23:20:04.000Z | server/app.py | Catsvilles/Lofi | f3a783a5ba3e80e6c8f958990f6f09767d25a48e | [
"Apache-2.0"
] | 4 | 2021-07-25T09:55:09.000Z | 2022-03-25T17:16:18.000Z | import json
import torch
from flask import Flask, request, jsonify
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
from model.lofi2lofi_model import Decoder as Lofi2LofiDecoder
from model.lyrics2lofi_model import Lyrics2LofiModel
from server.lofi2lofi_generate import decode
from se... | 29.548387 | 90 | 0.771288 | 227 | 1,832 | 6.013216 | 0.321586 | 0.082051 | 0.023443 | 0.026374 | 0.250549 | 0.215385 | 0.175824 | 0.118681 | 0.118681 | 0.118681 | 0 | 0.017802 | 0.110808 | 1,832 | 61 | 91 | 30.032787 | 0.820135 | 0 | 0 | 0.166667 | 0 | 0 | 0.158843 | 0.088428 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0.020833 | 0.3125 | 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 |
ef473c6a7f8ab89bcd75652de804e2198dfb2d97 | 1,153 | py | Python | cw-bitcoin-price.py | buraktokman/Crypto-Exchange-Data-Fetcher | 23e6ba542ff7a862af3247db2c04c2c10a5f3edf | [
"MIT"
] | 1 | 2021-08-09T07:22:25.000Z | 2021-08-09T07:22:25.000Z | cw-bitcoin-price.py | buraktokman/Crypto-Exchange-Data-Fetcher | 23e6ba542ff7a862af3247db2c04c2c10a5f3edf | [
"MIT"
] | null | null | null | cw-bitcoin-price.py | buraktokman/Crypto-Exchange-Data-Fetcher | 23e6ba542ff7a862af3247db2c04c2c10a5f3edf | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''
Cryptowat.ch API
https://cryptowat.ch/docs/api
https://api.cryptowat.ch/markets/prices '''
import urllib.request, json, datetime, time
from urllib.request import urlopen
from pathlib import Path
csv_file_price = Path(__file__).parents[0] / 'data' / 'cryptowatch-bitcoin-price2.csv'
def requ... | 26.813953 | 86 | 0.633998 | 150 | 1,153 | 4.733333 | 0.446667 | 0.061972 | 0.080282 | 0.053521 | 0.090141 | 0.090141 | 0 | 0 | 0 | 0 | 0 | 0.006593 | 0.210755 | 1,153 | 42 | 87 | 27.452381 | 0.773626 | 0.180399 | 0 | 0.076923 | 0 | 0 | 0.115508 | 0.032086 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.115385 | 0 | 0.230769 | 0.153846 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef488748bc20e35c68916d75dae55ef743e1069d | 6,145 | py | Python | python/orz/sta2json.py | ViewFaceCore/OpenRoleZoo | 19cef3cdc5238374cedcf7068dc7a6ad8448c21b | [
"BSD-2-Clause"
] | null | null | null | python/orz/sta2json.py | ViewFaceCore/OpenRoleZoo | 19cef3cdc5238374cedcf7068dc7a6ad8448c21b | [
"BSD-2-Clause"
] | null | null | null | python/orz/sta2json.py | ViewFaceCore/OpenRoleZoo | 19cef3cdc5238374cedcf7068dc7a6ad8448c21b | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# coding: UTF-8
import os
import struct
from .sta import *
import json
import copy
import base64
from collections import OrderedDict
class Stream:
def __init__(self, byte):
self.byte = byte
self.index = 0
def read(self, size=None):
data = ''
if size is N... | 28.449074 | 73 | 0.593979 | 794 | 6,145 | 4.492443 | 0.157431 | 0.060555 | 0.024671 | 0.026913 | 0.508831 | 0.367816 | 0.359406 | 0.325764 | 0.325764 | 0.303897 | 0 | 0.014189 | 0.277461 | 6,145 | 215 | 74 | 28.581395 | 0.789189 | 0.172823 | 0 | 0.285714 | 0 | 0 | 0.075556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090226 | false | 0 | 0.052632 | 0.015038 | 0.293233 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef4888a9795dbbe5df0abc36429c88521fbd3e99 | 1,494 | py | Python | 872 Leaf-Similar Trees.py | krishna13052001/LeetCode | cd6ec626bea61f0bd9e8493622074f9e69a7a1c3 | [
"MIT"
] | 872 | 2015-06-15T12:02:41.000Z | 2022-03-30T08:44:35.000Z | 872 Leaf-Similar Trees.py | nadeemshaikh-github/LeetCode | 3fb14aeea62a960442e47dfde9f964c7ffce32be | [
"MIT"
] | 8 | 2015-06-21T15:11:59.000Z | 2022-02-01T11:22:34.000Z | 872 Leaf-Similar Trees.py | nadeemshaikh-github/LeetCode | 3fb14aeea62a960442e47dfde9f964c7ffce32be | [
"MIT"
] | 328 | 2015-06-28T03:10:35.000Z | 2022-03-29T11:05:28.000Z | #!/usr/bin/python3
"""
Consider all the leaves of a binary tree. From left to right order, the values
of those leaves form a leaf value sequence.
For example, in the given tree above, the leaf value sequence is (6, 7, 4, 9,
8).
Two binary trees are considered leaf-similar if their leaf value sequence is the
same.
R... | 25.758621 | 80 | 0.566934 | 213 | 1,494 | 3.957746 | 0.469484 | 0.032028 | 0.060498 | 0.045077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020877 | 0.358768 | 1,494 | 57 | 81 | 26.210526 | 0.859081 | 0.419009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef53ba7f982e4f61582b4dfc595af89608ab9da3 | 3,695 | py | Python | third_party/graphy/graphy/common_test.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | third_party/graphy/graphy/common_test.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | third_party/graphy/graphy/common_test.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | #!/usr/bin/python2.4
#
# Copyright 2008 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 33.899083 | 74 | 0.707984 | 481 | 3,695 | 5.380457 | 0.322245 | 0.048686 | 0.041731 | 0.053323 | 0.316461 | 0.316461 | 0.204791 | 0.188949 | 0.155719 | 0.078825 | 0 | 0.020541 | 0.169959 | 3,695 | 108 | 75 | 34.212963 | 0.82328 | 0.223545 | 0 | 0.144928 | 0 | 0 | 0.039112 | 0 | 0 | 0 | 0 | 0.009259 | 0.347826 | 1 | 0.130435 | false | 0 | 0.057971 | 0 | 0.202899 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef53e0e036cb078d36e154064142222b1dfe4d85 | 608 | py | Python | projects/utils_func/fetch_data.py | blitty-codes/ml-proyects | 97d41757cfb45209bbbb09e4c3b51e20c4328a30 | [
"Apache-2.0"
] | null | null | null | projects/utils_func/fetch_data.py | blitty-codes/ml-proyects | 97d41757cfb45209bbbb09e4c3b51e20c4328a30 | [
"Apache-2.0"
] | null | null | null | projects/utils_func/fetch_data.py | blitty-codes/ml-proyects | 97d41757cfb45209bbbb09e4c3b51e20c4328a30 | [
"Apache-2.0"
] | null | null | null | # Download the data you
import os
import tarfile
import requests
def fetch_data(dataset_url):
file_name = dataset_url.split('/')[-1]
dataset_path = os.path.join("datasets", file_name.split('.')[0])
print(dataset_path)
print(f"File name: {file_name.split('.')[0]}")
os.makedirs(dataset_path, exist_o... | 27.636364 | 68 | 0.692434 | 90 | 608 | 4.455556 | 0.4 | 0.099751 | 0.049875 | 0.069825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005906 | 0.164474 | 608 | 21 | 69 | 28.952381 | 0.783465 | 0.034539 | 0 | 0 | 0 | 0 | 0.100855 | 0.042735 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.25 | 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 |
ef54bb20c88dda93a302698251aa2e77667dc8a2 | 4,526 | py | Python | xpython/builtins.py | pmp-p/x-python | e5bdc15af1bf9cf696b2d9a8e1a02a4863b1fb8a | [
"MIT"
] | null | null | null | xpython/builtins.py | pmp-p/x-python | e5bdc15af1bf9cf696b2d9a8e1a02a4863b1fb8a | [
"MIT"
] | null | null | null | xpython/builtins.py | pmp-p/x-python | e5bdc15af1bf9cf696b2d9a8e1a02a4863b1fb8a | [
"MIT"
] | null | null | null | """
A place to implement built-in functions.
We use the bytecode for these when doing cross-version interpreting
"""
from xpython.pyobj import Function, Cell, make_cell
from xdis import codeType2Portable, PYTHON_VERSION, IS_PYPY
def func_code(func):
if hasattr(func, "func_code"):
return func.func_code
... | 32.328571 | 84 | 0.650685 | 588 | 4,526 | 4.807823 | 0.363946 | 0.019809 | 0.018394 | 0.012027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011367 | 0.261379 | 4,526 | 139 | 85 | 32.561151 | 0.834281 | 0.455148 | 0 | 0.047619 | 0 | 0 | 0.092257 | 0 | 0 | 0 | 0 | 0 | 0.015873 | 1 | 0.047619 | false | 0.015873 | 0.047619 | 0 | 0.15873 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef58bac3885ae00f40f0903957d207828fe3e0c6 | 857 | py | Python | config/object_detection_retinanet_config.py | kadirtereci/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-- | 5baacf4475f3679b96ea2001994a575ec0a72bf0 | [
"Apache-2.0"
] | null | null | null | config/object_detection_retinanet_config.py | kadirtereci/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-- | 5baacf4475f3679b96ea2001994a575ec0a72bf0 | [
"Apache-2.0"
] | null | null | null | config/object_detection_retinanet_config.py | kadirtereci/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection-- | 5baacf4475f3679b96ea2001994a575ec0a72bf0 | [
"Apache-2.0"
] | null | null | null | # import the necessary packages
import os
# Set the dataset base path here
BASE_PATH = "/content/Keras-retinanet-Training-on-custom-datasets-for-Object-Detection--/dataset"
# build the path to the annotations and input images
ANNOT_PATH = os.path.sep.join([BASE_PATH, 'annotations'])
IMAGES_PATH = os.path.sep.join([BA... | 35.708333 | 97 | 0.757293 | 142 | 857 | 4.450704 | 0.34507 | 0.101266 | 0.085443 | 0.123418 | 0.371835 | 0.344937 | 0.275316 | 0 | 0 | 0 | 0 | 0.005355 | 0.128355 | 857 | 23 | 98 | 37.26087 | 0.840696 | 0.425904 | 0 | 0 | 0 | 0.111111 | 0.287785 | 0.171843 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef59c84efb2830bb4da68800485a32f52a474ab9 | 14,738 | py | Python | src/c4/cmany/cmake.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 20 | 2017-05-17T18:43:08.000Z | 2021-02-13T16:20:53.000Z | src/c4/cmany/cmake.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 8 | 2017-06-04T17:01:06.000Z | 2022-03-17T12:43:32.000Z | src/c4/cmany/cmake.py | biojppm/cmany | b20c24169d60077122ae29a0c09526913340fd5c | [
"MIT"
] | 1 | 2017-06-04T13:09:19.000Z | 2017-06-04T13:09:19.000Z | import re
import os
from collections import OrderedDict as odict
from .conf import USER_DIR
from .util import cacheattr, setcwd, runsyscmd, logdbg
from . import util
from . import err
_cache_entry = r'^(.*?)(:.*?)=(.*)$'
def hascache(builddir):
c = os.path.join(builddir, 'CMakeCache.txt')
if os.path.exists... | 36.937343 | 125 | 0.519677 | 1,670 | 14,738 | 4.449102 | 0.181437 | 0.016151 | 0.014536 | 0.012113 | 0.259219 | 0.189233 | 0.134051 | 0.11467 | 0.068371 | 0.037147 | 0 | 0.003567 | 0.296105 | 14,738 | 398 | 126 | 37.030151 | 0.712647 | 0.210544 | 0 | 0.212454 | 0 | 0 | 0.113199 | 0.014161 | 0 | 0 | 0 | 0.002513 | 0 | 1 | 0.120879 | false | 0 | 0.040293 | 0.029304 | 0.311355 | 0.003663 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef5b7b88dd380eec142de24fd5621ee02381ea01 | 3,744 | py | Python | RGB_extraction_maize_diversity.py | xiangjunli/Maize_Phenotype_Map | 15765c1a9a58bdf5cfca5602e09e9cbe74d12b98 | [
"BSD-3-Clause"
] | 4 | 2018-02-06T21:15:31.000Z | 2018-07-28T14:00:17.000Z | RGB_extraction_maize_diversity.py | xiangjunli/Maize_Phenotype_Map | 15765c1a9a58bdf5cfca5602e09e9cbe74d12b98 | [
"BSD-3-Clause"
] | null | null | null | RGB_extraction_maize_diversity.py | xiangjunli/Maize_Phenotype_Map | 15765c1a9a58bdf5cfca5602e09e9cbe74d12b98 | [
"BSD-3-Clause"
] | 2 | 2020-02-07T18:26:09.000Z | 2020-10-16T15:52:56.000Z | import numpy as np
import cv2
import sys
import os
#######################RGB Image Data Analysis############################################################
###Should follow the data structure of image data: Genotype --> Replicates (Plants) --> Different Views --> Image captured by each Day###
# mfold defines the fol... | 32 | 174 | 0.626603 | 610 | 3,744 | 3.82459 | 0.362295 | 0.033005 | 0.007715 | 0.024432 | 0.058294 | 0.032576 | 0 | 0 | 0 | 0 | 0 | 0.04514 | 0.18937 | 3,744 | 116 | 175 | 32.275862 | 0.723558 | 0.236111 | 0 | 0.058824 | 0 | 0 | 0.091534 | 0.008683 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.039216 | 0 | 0.078431 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef5c0e5ff1790c1367e3395cb63ad1ddf91375ef | 4,620 | py | Python | cgtools/skinning.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | 10 | 2019-05-02T14:08:32.000Z | 2021-03-15T16:07:19.000Z | cgtools/skinning.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | null | null | null | cgtools/skinning.py | tneumann/cgtools | 8f77b6a4642fe79ac85b8449ebd3f72ea0e56032 | [
"MIT"
] | 3 | 2019-05-02T14:08:33.000Z | 2021-02-10T03:47:29.000Z | import numpy as np
from . import vector as V
def rbm_to_dualquat(rbm):
import cgkit.cgtypes as cg
q0 = cg.quat().fromMat(cg.mat3(rbm[:3,:3].T.tolist()))
q0 = q0.normalize()
q0 = np.array([q0.w, q0.x, q0.y, q0.z])
t = rbm[:3, 3]
q1 = np.array([
-0.5*( t[0]*q0[1] + t[1]*q0[2] + t[2]*... | 37.868852 | 104 | 0.515368 | 855 | 4,620 | 2.74269 | 0.181287 | 0.016205 | 0.010235 | 0.008529 | 0.219616 | 0.165458 | 0.165458 | 0.104904 | 0.0742 | 0.0742 | 0 | 0.092855 | 0.282035 | 4,620 | 121 | 105 | 38.181818 | 0.614109 | 0.146537 | 0 | 0.020408 | 0 | 0.102041 | 0.345562 | 0 | 0 | 0 | 0 | 0.008264 | 0 | 1 | 0.05102 | false | 0 | 0.040816 | 0 | 0.153061 | 0.010204 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef5cca29cfc460b593d8a2ef7fb0d7625f148237 | 2,214 | py | Python | methods/self_attention.py | uyplayer/machine_learning_notice | 9f6c4a9a5e278321611d9be1e8fa46bf9a1bd416 | [
"Apache-2.0"
] | 1 | 2019-12-10T12:27:33.000Z | 2019-12-10T12:27:33.000Z | methods/self_attention.py | uyplayer/machine_learning_notice | 9f6c4a9a5e278321611d9be1e8fa46bf9a1bd416 | [
"Apache-2.0"
] | null | null | null | methods/self_attention.py | uyplayer/machine_learning_notice | 9f6c4a9a5e278321611d9be1e8fa46bf9a1bd416 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Team : uyplayer team
# Author: uyplayer
# Date :2019/11/20 下午4:22
# Tool :PyCharm
'''
https://blog.csdn.net/c9Yv2cf9I06K2A9E/article/details/79739287
https://msd.misuland.com/pd/13340603045208861
'''
class AttnDecoderRNN(nn.Module):
def __init__(self, hidden_size, output_size, dr... | 41.773585 | 88 | 0.653117 | 264 | 2,214 | 5.314394 | 0.359848 | 0.078403 | 0.099786 | 0.064148 | 0.112616 | 0.038489 | 0.038489 | 0 | 0 | 0 | 0 | 0.051795 | 0.232611 | 2,214 | 53 | 89 | 41.773585 | 0.773985 | 0.250678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0 | 0.034483 | 0.206897 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef5e5867ee1d6b8b8d8f0bd5472d8f25ae61b5ab | 497 | py | Python | Aniyom Ebenezer/phase 1/python 2 basis/Day_21_Challenge_Solution/Question 6 Solution.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | Aniyom Ebenezer/phase 1/python 2 basis/Day_21_Challenge_Solution/Question 6 Solution.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | Aniyom Ebenezer/phase 1/python 2 basis/Day_21_Challenge_Solution/Question 6 Solution.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | """
Write a Python program that reads a date (from 2016/1/1 to 2016/12/31) and prints the day of the date.
Jan. 1, 2016, is Friday.
Note that 2016 is a leap year.
"""
from datetime import date
print("Input month and date(separated by a single space): ")
m, d = map(int, input().split())
weeks = {1: "Monday", 2: "Tuesda... | 33.133333 | 106 | 0.668008 | 86 | 497 | 3.860465 | 0.651163 | 0.03012 | 0.054217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084337 | 0.16499 | 497 | 15 | 107 | 33.133333 | 0.715663 | 0.366197 | 0 | 0 | 0 | 0 | 0.386364 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef5e8dee6b61a5247d6e4659a6ab926d4b74a1e7 | 347 | py | Python | test15.py | cherytony/test1 | 506ce4cab6f641beff817c81d7a616db29a7131d | [
"Apache-2.0"
] | null | null | null | test15.py | cherytony/test1 | 506ce4cab6f641beff817c81d7a616db29a7131d | [
"Apache-2.0"
] | null | null | null | test15.py | cherytony/test1 | 506ce4cab6f641beff817c81d7a616db29a7131d | [
"Apache-2.0"
] | null | null | null | """
题目描述
给定n个字符串,请对n个字符串按照字典序排列。
输入描述:
输入第一行为一个正整数n(1≤n≤1000),下面n行为n个字符串(字符串长度≤100),字符串中只含有大小写字母。
输出描述:
数据输出n行,输出结果为按照字典序排列的字符串。
示例1
输入
9
cap
to
cat
card
two
too
up
boat
boot
输出
boat
boot
cap
card
cat
to
too
two
up
"""
list = []
n = int(input())
for i in range(0, n):
s = input()
list.append(s)
list.sort()
f... | 8.069767 | 58 | 0.674352 | 63 | 347 | 3.761905 | 0.650794 | 0.067511 | 0.050633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039286 | 0.193084 | 347 | 42 | 59 | 8.261905 | 0.796429 | 0.605187 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
ef5fbbee42c9df1a0ff003ab57c38b8bb1ccfe30 | 2,558 | py | Python | 0-EXP-TIRA-C10.py | webis-de/Luyckx2008 | a7b2711a354a71ba326ddb1e495a8343091e4d8c | [
"Unlicense"
] | null | null | null | 0-EXP-TIRA-C10.py | webis-de/Luyckx2008 | a7b2711a354a71ba326ddb1e495a8343091e4d8c | [
"Unlicense"
] | null | null | null | 0-EXP-TIRA-C10.py | webis-de/Luyckx2008 | a7b2711a354a71ba326ddb1e495a8343091e4d8c | [
"Unlicense"
] | null | null | null | import jsonhandler
from LuyckxFeatures import *
import timblClassification as timbl
import os
import numpy as np
from collections import Counter
def parseC10(c10_path):
jsonhandler.loadJson(c10_path)
jsonhandler.loadTraining()
candidates = jsonhandler.candidates
unknowns = jsonhandler.unknowns
f... | 38.179104 | 86 | 0.670837 | 303 | 2,558 | 5.613861 | 0.277228 | 0.009406 | 0.005291 | 0.029982 | 0.260435 | 0.189888 | 0.095238 | 0.095238 | 0 | 0 | 0 | 0.014507 | 0.191556 | 2,558 | 66 | 87 | 38.757576 | 0.808027 | 0.015637 | 0 | 0.241379 | 0 | 0 | 0.051731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0 | 0.103448 | 0 | 0.12069 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef6043c616af761fa9470ba29ff276fd15c95e0d | 3,133 | py | Python | bus.py | resc863/Kakao_Chatbot | fe4a038de323ad733cd49e69c7ceb283a36bef0c | [
"MIT"
] | 1 | 2020-08-01T13:42:26.000Z | 2020-08-01T13:42:26.000Z | bus.py | resc863/Kakao_Chatbot | fe4a038de323ad733cd49e69c7ceb283a36bef0c | [
"MIT"
] | null | null | null | bus.py | resc863/Kakao_Chatbot | fe4a038de323ad733cd49e69c7ceb283a36bef0c | [
"MIT"
] | 1 | 2021-08-24T14:02:32.000Z | 2021-08-24T14:02:32.000Z | from bs4 import BeautifulSoup
from multiprocessing import Pool
import requests
def lineid(lineno):
lineurl = "http://61.43.246.153/openapi-data/service/busanBIMS2/busInfo?lineno="+lineno+"&serviceKey=0XeO7nbthbiRoMUkYGGah20%2BfXizwc0A6BfjrkL6qhh2%2Fsl8j9PzfSLGKnqR%2F1v%2F%2B6AunxntpLfoB3Ryd3OInQ%3D%3D"
lin... | 27.243478 | 210 | 0.616981 | 363 | 3,133 | 5.30303 | 0.30303 | 0.043636 | 0.016623 | 0.022857 | 0.362597 | 0.362597 | 0.362597 | 0.362597 | 0.362597 | 0.20987 | 0 | 0.08144 | 0.255346 | 3,133 | 114 | 211 | 27.482456 | 0.743678 | 0 | 0 | 0.166667 | 0 | 0.047619 | 0.301309 | 0.072774 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059524 | false | 0 | 0.035714 | 0 | 0.154762 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef60ce6fc063e157d7dfaad93f8114a633854b16 | 4,256 | py | Python | model_training.py | PatriceC/MLProjectISDP2020 | 64e83824690ccde2714d915c70fb00b20aa66a42 | [
"MIT"
] | 1 | 2021-01-23T01:04:00.000Z | 2021-01-23T01:04:00.000Z | model_training.py | cor3ntino/Time-Series-Prediction-with-Deep-Learning-for-Road-Trafic-Data | e8eefdf2e630a53e09f88550357b67732f2bccd0 | [
"MIT"
] | null | null | null | model_training.py | cor3ntino/Time-Series-Prediction-with-Deep-Learning-for-Road-Trafic-Data | e8eefdf2e630a53e09f88550357b67732f2bccd0 | [
"MIT"
] | 1 | 2021-01-19T16:57:27.000Z | 2021-01-19T16:57:27.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 23 13:54:58 2020
@author: Patrice CHANOL & Corentin MORVAN--CHAUMEIL
"""
import numpy as np
import torch
import time
import visualisation
from datetime import datetime
def main(model, criterion, optimizer, scheduler, data_train_loader, data_test_loader, num_epochs, inp... | 34.322581 | 140 | 0.608083 | 493 | 4,256 | 5.06288 | 0.320487 | 0.072115 | 0.019231 | 0.027644 | 0.099359 | 0.030449 | 0.030449 | 0 | 0 | 0 | 0 | 0.012387 | 0.298167 | 4,256 | 123 | 141 | 34.601626 | 0.823234 | 0.294878 | 0 | 0.16 | 0 | 0 | 0.048438 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0 | 0.1 | 0 | 0.14 | 0.12 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef61b3b08001b19237e5f7463a25cc96b621c9fe | 3,679 | py | Python | process_data.py | johnnyp2587/fx-drqn | 0ea8a4ad673a1883dd4630a69629c75c8f49148c | [
"MIT"
] | 1 | 2021-01-30T11:50:54.000Z | 2021-01-30T11:50:54.000Z | process_data.py | johnnyp2587/fx-drqn | 0ea8a4ad673a1883dd4630a69629c75c8f49148c | [
"MIT"
] | null | null | null | process_data.py | johnnyp2587/fx-drqn | 0ea8a4ad673a1883dd4630a69629c75c8f49148c | [
"MIT"
] | 2 | 2021-01-30T11:50:57.000Z | 2021-02-04T15:43:54.000Z | import numpy as np
import pandas as pd
import datetime
def gen_cols(Pad, cur, lag):
currency = list(np.sort(Pad['currency pair'].unique()))
tmp = Pad[Pad['currency pair'] == cur].sort_values(by=['timestamp'])
for i in range(1,lag+1):
colname1 = 'bid_lag_' + str(i)
colname2 = 'ask_lag_' + st... | 37.927835 | 113 | 0.580864 | 559 | 3,679 | 3.588551 | 0.232558 | 0.071785 | 0.034895 | 0.044865 | 0.228315 | 0.081755 | 0.081755 | 0.065803 | 0.065803 | 0.033898 | 0 | 0.073726 | 0.247893 | 3,679 | 96 | 114 | 38.322917 | 0.651247 | 0 | 0 | 0.078652 | 0 | 0 | 0.120413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022472 | false | 0.011236 | 0.033708 | 0 | 0.067416 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef625fbf84f8e46aa31c085f3762960c2186790e | 3,863 | py | Python | benchmark.py | tgisaturday/minGPT | 3ff862f7fac8adbc3dcdf0693d996468fd4c3f7b | [
"MIT"
] | null | null | null | benchmark.py | tgisaturday/minGPT | 3ff862f7fac8adbc3dcdf0693d996468fd4c3f7b | [
"MIT"
] | null | null | null | benchmark.py | tgisaturday/minGPT | 3ff862f7fac8adbc3dcdf0693d996468fd4c3f7b | [
"MIT"
] | null | null | null | import math
import os
from argparse import ArgumentParser
import numpy as np
import torch
from pytorch_lightning import Trainer
from pytorch_lightning import seed_everything
from pytorch_lightning.utilities import rank_zero_info
from pytorch_lightning.callbacks import XLAStatsMonitor
from torch.utils.data import Datas... | 36.443396 | 119 | 0.681077 | 535 | 3,863 | 4.700935 | 0.330841 | 0.053678 | 0.047316 | 0.031809 | 0.249304 | 0.17336 | 0.153479 | 0.089861 | 0.089861 | 0.089861 | 0 | 0.012426 | 0.208387 | 3,863 | 105 | 120 | 36.790476 | 0.810007 | 0.069635 | 0 | 0.073171 | 0 | 0.02439 | 0.093341 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.158537 | 0.02439 | 0.292683 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ef62a93780f5d22fd2c5c963cb04b78649fda229 | 2,059 | py | Python | weather.py | corgiclub/CorgiBot_telegram | a63d91a74ee497b9a405e93bd3b303367ef95268 | [
"MIT"
] | null | null | null | weather.py | corgiclub/CorgiBot_telegram | a63d91a74ee497b9a405e93bd3b303367ef95268 | [
"MIT"
] | null | null | null | weather.py | corgiclub/CorgiBot_telegram | a63d91a74ee497b9a405e93bd3b303367ef95268 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*
import requests
import json
def get_weather(city: str) -> json:
req = requests.get("https://free-api.heweather.net/s6/weather?location="
"{}&key=89d6bbc3861844d59a6313c16448d293".format(city))
json_data = json.loads(req.text, encoding="UTF8")
return json_data
... | 44.76087 | 112 | 0.594463 | 280 | 2,059 | 4.175 | 0.3 | 0.076989 | 0.076989 | 0.015398 | 0.109495 | 0.083832 | 0.083832 | 0.083832 | 0.083832 | 0.083832 | 0 | 0.026119 | 0.219038 | 2,059 | 45 | 113 | 45.755556 | 0.695896 | 0.032054 | 0 | 0 | 0 | 0.054054 | 0.270854 | 0.069347 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.054054 | 0 | 0.162162 | 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 |
ef63d9fcd4c7ced9c5506a721a486919e70bacc7 | 2,536 | py | Python | paz/datasets/ferplus.py | niqbal996/paz | f27205907367415d5b21f90e1a1d1d1ce598e889 | [
"MIT"
] | 300 | 2020-10-29T08:02:05.000Z | 2022-03-30T21:47:32.000Z | paz/datasets/ferplus.py | albertofernandezvillan/paz | 9fbd50b993f37e1e807297a29c6044c09967c9cc | [
"MIT"
] | 30 | 2020-10-29T12:40:32.000Z | 2022-03-31T14:06:35.000Z | paz/datasets/ferplus.py | albertofernandezvillan/paz | 9fbd50b993f37e1e807297a29c6044c09967c9cc | [
"MIT"
] | 62 | 2020-10-29T12:34:13.000Z | 2022-03-29T05:21:45.000Z | import os
import numpy as np
from .utils import get_class_names
from ..abstract import Loader
from ..backend.image import resize_image
# IMAGES_PATH = '../datasets/fer2013/fer2013.csv'
# LABELS_PATH = '../datasets/fer2013/fer2013new.csv'
class FERPlus(Loader):
"""Class for loading FER2013 emotion classification... | 39.015385 | 79 | 0.613565 | 318 | 2,536 | 4.764151 | 0.393082 | 0.052805 | 0.025743 | 0.033663 | 0.063366 | 0.063366 | 0 | 0 | 0 | 0 | 0 | 0.035827 | 0.251577 | 2,536 | 64 | 80 | 39.625 | 0.762381 | 0.300079 | 0 | 0 | 0 | 0 | 0.06188 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.138889 | 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 |
ef651d134e566a45ca23483fc6b3987d980d24af | 863 | py | Python | code/array/container-with-most-water.py | windsuzu/leetcode-python | 240ca747d58eb78b08dedf4d5a1fdc0fe0b0c6bf | [
"MIT"
] | 1 | 2021-09-29T11:05:07.000Z | 2021-09-29T11:05:07.000Z | code/array/container-with-most-water.py | windsuzu/leetcode-python | 240ca747d58eb78b08dedf4d5a1fdc0fe0b0c6bf | [
"MIT"
] | null | null | null | code/array/container-with-most-water.py | windsuzu/leetcode-python | 240ca747d58eb78b08dedf4d5a1fdc0fe0b0c6bf | [
"MIT"
] | 1 | 2021-09-29T11:06:32.000Z | 2021-09-29T11:06:32.000Z | from typing import List
class Solution:
def maxArea(self, height: List[int]) -> int:
# We can create "left" and "right" pointers
# the initial width between "l" and "r" is already the maximum
l, r = 0, len(height) - 1
width = r - l
# We can use greedy metho... | 30.821429 | 74 | 0.468134 | 121 | 863 | 3.338843 | 0.46281 | 0.069307 | 0.128713 | 0.138614 | 0.168317 | 0.128713 | 0.128713 | 0.128713 | 0 | 0 | 0 | 0.016327 | 0.432213 | 863 | 28 | 75 | 30.821429 | 0.808163 | 0.391657 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |