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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7a33a8a8695860ddb6163f6f5857cdcec9984aa3 | 822 | py | Python | cmskit/recipes/menu.py | ozgurgunes/django-cmskit | 19d14fbb57702a6c56b6b3a5d859c93533ff1535 | [
"MIT"
] | 1 | 2015-09-28T10:10:34.000Z | 2015-09-28T10:10:34.000Z | cmskit/recipes/menu.py | ozgurgunes/django-cmskit | 19d14fbb57702a6c56b6b3a5d859c93533ff1535 | [
"MIT"
] | null | null | null | cmskit/recipes/menu.py | ozgurgunes/django-cmskit | 19d14fbb57702a6c56b6b3a5d859c93533ff1535 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.utils.translation import ugettext_lazy as _
from django.utils.translation import get_language
from cms.menu_bases import CMSAttachMenu
from menus.base import Menu, NavigationNode
from menus.menu_pool import menu_pool
from cmskit.recipes.models import Recipe
class RecipesMenu(CMSAtt... | 27.4 | 66 | 0.600973 | 86 | 822 | 5.593023 | 0.569767 | 0.049896 | 0.06237 | 0.108108 | 0.133056 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001805 | 0.326034 | 822 | 29 | 67 | 28.344828 | 0.866426 | 0.025547 | 0 | 0 | 0 | 0 | 0.015019 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0.045455 | 0.272727 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a33ddcfa2b3e722458ff7163d0ad438baf597ed | 6,218 | py | Python | code/results-past/figure-3-b.py | shaifulcse/codemetrics-with-context-replication | 9f0fe6e840d204b70efc9610e6887a64f9a51ce7 | [
"MIT"
] | null | null | null | code/results-past/figure-3-b.py | shaifulcse/codemetrics-with-context-replication | 9f0fe6e840d204b70efc9610e6887a64f9a51ce7 | [
"MIT"
] | null | null | null | code/results-past/figure-3-b.py | shaifulcse/codemetrics-with-context-replication | 9f0fe6e840d204b70efc9610e6887a64f9a51ce7 | [
"MIT"
] | null | null | null | """
"""
import re
import os
import matplotlib.pyplot as plt
import re
import numpy as np
import math
from scipy.stats.stats import pearsonr
from scipy.stats.stats import kendalltau
import scipy
from matplotlib.patches import Rectangle
from scipy import stats
import seaborn as sns
import pandas as pd
sns.set(font_scal... | 24.772908 | 122 | 0.603731 | 811 | 6,218 | 4.499383 | 0.240444 | 0.055906 | 0.06906 | 0.075363 | 0.257605 | 0.199507 | 0.140861 | 0.129076 | 0.10359 | 0.10359 | 0 | 0.027546 | 0.246864 | 6,218 | 250 | 123 | 24.872 | 0.751655 | 0.06063 | 0 | 0.19186 | 0 | 0 | 0.062069 | 0.011897 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052326 | false | 0 | 0.075581 | 0 | 0.145349 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a34367f5bced4609356f0cde39e3a13b062d891 | 4,585 | py | Python | ppmi_tweet_collector.py | wolferobert3/uweat_icsc_2022 | 172f4cdd737f7405bdc83357e3dabeee94251efc | [
"MIT"
] | null | null | null | ppmi_tweet_collector.py | wolferobert3/uweat_icsc_2022 | 172f4cdd737f7405bdc83357e3dabeee94251efc | [
"MIT"
] | null | null | null | ppmi_tweet_collector.py | wolferobert3/uweat_icsc_2022 | 172f4cdd737f7405bdc83357e3dabeee94251efc | [
"MIT"
] | null | null | null | import pandas as pd
from os import path, listdir
import pickle
from nltk import word_tokenize
import json
import re
import emoji
import string
TARGET_STATE = 'OR'
source_dir = f''
twitter_files = [i for i in list(listdir(source_dir)) if TARGET_STATE in i]
punctuation_list = list(string.punctuation) + ['.... | 39.188034 | 144 | 0.638168 | 694 | 4,585 | 3.920749 | 0.18732 | 0.114664 | 0.057332 | 0.088203 | 0.362367 | 0.332598 | 0.284454 | 0.209849 | 0.169055 | 0.168688 | 0 | 0.010261 | 0.213522 | 4,585 | 117 | 145 | 39.188034 | 0.742651 | 0.023555 | 0 | 0.102273 | 0 | 0.011364 | 0.118173 | 0.088573 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0.011364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a38fc376b5e5fd6f4153aa152aa553785289bf1 | 911 | py | Python | all/054.py | brenodt/Desafio-365-dias-programando | 6c899b4f2e314b9a3a75734f39509a665016e206 | [
"MIT"
] | null | null | null | all/054.py | brenodt/Desafio-365-dias-programando | 6c899b4f2e314b9a3a75734f39509a665016e206 | [
"MIT"
] | null | null | null | all/054.py | brenodt/Desafio-365-dias-programando | 6c899b4f2e314b9a3a75734f39509a665016e206 | [
"MIT"
] | null | null | null |
from collections import OrderedDict # OrderedDict deve ser importado!
def enesimo_nao_repetido(entrada: str, n: int):
# Cria o dicionário usando OrderedDict e inicializa
# cada chave com o valor 0
dicionario = OrderedDict.fromkeys(entrada, 0)
# Conta a ocorrência de cada letra
for letra in entr... | 28.46875 | 70 | 0.668496 | 130 | 911 | 4.546154 | 0.615385 | 0.060914 | 0.106599 | 0.07445 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010324 | 0.255763 | 911 | 32 | 71 | 28.46875 | 0.861357 | 0.333699 | 0 | 0 | 0 | 0 | 0.078859 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.266667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a4693933697b877ba83ef27e07a84e5fbb283c6 | 884 | py | Python | motorway/contrib/amazon_kinesis/intersections.py | alesdotio/motorway | 8514f9e6494c9e55576705b72dda306c175e62dc | [
"Apache-2.0"
] | 1 | 2016-09-16T14:51:59.000Z | 2016-09-16T14:51:59.000Z | motorway/contrib/amazon_kinesis/intersections.py | alesdotio/motorway | 8514f9e6494c9e55576705b72dda306c175e62dc | [
"Apache-2.0"
] | null | null | null | motorway/contrib/amazon_kinesis/intersections.py | alesdotio/motorway | 8514f9e6494c9e55576705b72dda306c175e62dc | [
"Apache-2.0"
] | 1 | 2020-12-12T17:35:55.000Z | 2020-12-12T17:35:55.000Z | import json
import boto.kinesis
from motorway.intersection import Intersection
class KinesisInsertIntersection(Intersection):
stream_name = None
def __init__(self, **kwargs):
super(KinesisInsertIntersection, self).__init__(**kwargs)
self.conn = boto.kinesis.connect_to_region(**self.connection... | 29.466667 | 104 | 0.640271 | 93 | 884 | 5.817204 | 0.580645 | 0.073937 | 0.051756 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001546 | 0.2681 | 884 | 29 | 105 | 30.482759 | 0.834621 | 0.087104 | 0 | 0 | 0 | 0 | 0.110834 | 0.031133 | 0 | 0 | 0 | 0 | 0.047619 | 1 | 0.142857 | false | 0 | 0.142857 | 0.047619 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a4758fe075141b33a34759f92db71968b493b1d | 3,034 | py | Python | middle-tier/app/interact_contract.py | Surfndez/Microsoft-Identities-on-the-Ethereum-Blockchain | 35fc2ac329f3a17b59d5bb90115e1e8f7e2ae501 | [
"MIT"
] | 4 | 2018-07-23T22:01:16.000Z | 2020-09-22T11:15:39.000Z | middle-tier/app/interact_contract.py | Surfndez/Microsoft-Identities-on-the-Ethereum-Blockchain | 35fc2ac329f3a17b59d5bb90115e1e8f7e2ae501 | [
"MIT"
] | 1 | 2021-01-21T13:15:16.000Z | 2021-01-21T13:15:16.000Z | middle-tier/app/interact_contract.py | Surfndez/Microsoft-Identities-on-the-Ethereum-Blockchain | 35fc2ac329f3a17b59d5bb90115e1e8f7e2ae501 | [
"MIT"
] | 5 | 2018-07-20T00:23:11.000Z | 2020-09-22T11:15:47.000Z | import json
import time
import web3
import sha3
from os import environ
from web3 import Web3, HTTPProvider
from web3.contract import ConciseContract
from contract import IDENTITY_STORE_JSON
API_KEY = environ.get('API_KEY')
PRIVATE_KEY = environ.get('PRIVATE_KEY')
CONTRACT_ADDRESS = environ.get('CONTRACT_ADDRESS')
... | 30.34 | 83 | 0.627884 | 343 | 3,034 | 5.387755 | 0.35277 | 0.018939 | 0.012987 | 0.036797 | 0.055195 | 0.055195 | 0.055195 | 0 | 0 | 0 | 0 | 0.016856 | 0.276533 | 3,034 | 99 | 84 | 30.646465 | 0.825057 | 0.060976 | 0 | 0.027027 | 0 | 0 | 0.111228 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.108108 | 0 | 0.216216 | 0.094595 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a4900d73a1ad7f743a5146f147752cc74077496 | 2,227 | py | Python | startup/90-functions.py | NSLS-II-XPD-tomo/profile_collection | a960faa6bd24dc87bd094399f2124f80159207be | [
"BSD-3-Clause"
] | null | null | null | startup/90-functions.py | NSLS-II-XPD-tomo/profile_collection | a960faa6bd24dc87bd094399f2124f80159207be | [
"BSD-3-Clause"
] | null | null | null | startup/90-functions.py | NSLS-II-XPD-tomo/profile_collection | a960faa6bd24dc87bd094399f2124f80159207be | [
"BSD-3-Clause"
] | 2 | 2021-11-08T19:13:50.000Z | 2022-01-08T16:17:01.000Z | print(f'Loading {__file__}')
def configure_area_det(det,acq_time,acq_period=None,exposure=None,num_exposures=1):
if det.name == 'prosilica':
acq_time = min(acq_time,25)
if det.cam.acquire.get() == 0:
yield from bps.abs_set(det.cam.acquire, 1, wait=True)
if det.name == 'dexela': ... | 40.490909 | 118 | 0.624158 | 327 | 2,227 | 4.003058 | 0.180428 | 0.080214 | 0.139037 | 0.114591 | 0.689076 | 0.669977 | 0.637892 | 0.637892 | 0.571429 | 0.538579 | 0 | 0.014414 | 0.252357 | 2,227 | 54 | 119 | 41.240741 | 0.771772 | 0 | 0 | 0.425 | 0 | 0.05 | 0.028289 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0 | 0 | 0.05 | 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 |
7a4982c716e53e21237cd2d0f5536f385174c347 | 15,085 | py | Python | same-same.py | gwk/same-same | 065674668bf26dd2bcc62ab7a556629d21647fe4 | [
"CC0-1.0"
] | 22 | 2018-05-25T20:45:46.000Z | 2021-01-24T23:26:20.000Z | same-same.py | gwk/same-same | 065674668bf26dd2bcc62ab7a556629d21647fe4 | [
"CC0-1.0"
] | null | null | null | same-same.py | gwk/same-same | 065674668bf26dd2bcc62ab7a556629d21647fe4 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
# Dedicated to the public domain under CC0: https://creativecommons.org/publicdomain/zero/1.0/.
import re
from argparse import ArgumentParser
from difflib import SequenceMatcher
from itertools import chain, groupby
from os import environ
from sys import stderr, stdout
from typing import *
from t... | 33.300221 | 124 | 0.646868 | 2,431 | 15,085 | 3.828466 | 0.203209 | 0.012894 | 0.007091 | 0.005587 | 0.121092 | 0.072634 | 0.058236 | 0.038036 | 0.028581 | 0.019985 | 0 | 0.019585 | 0.214717 | 15,085 | 452 | 125 | 33.373894 | 0.766081 | 0.214915 | 0 | 0.058997 | 0 | 0.0059 | 0.163408 | 0.011241 | 0 | 0 | 0.003584 | 0.002212 | 0.041298 | 1 | 0.056047 | false | 0.0059 | 0.023599 | 0.00885 | 0.115044 | 0.035398 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a4aca28089648fa6cf04d319fbef84a5a8cbf94 | 1,912 | py | Python | ED_Chapter4.py | Wang-ZhengYi/ED_Chapter5_code | f63861ab8b6bce4756b7f0e1fd15041a976c1a38 | [
"MIT"
] | 1 | 2019-12-19T11:04:49.000Z | 2019-12-19T11:04:49.000Z | ED_Chapter4.py | Wang-ZhengYi/ED_assignment | f63861ab8b6bce4756b7f0e1fd15041a976c1a38 | [
"MIT"
] | null | null | null | ED_Chapter4.py | Wang-ZhengYi/ED_assignment | f63861ab8b6bce4756b7f0e1fd15041a976c1a38 | [
"MIT"
] | null | null | null | #!\usr\bin\python3
# -*- coding: utf-8 -*-
'''
Created on Oct. 2019
ED_Chapter4
@author: ZYW @ BNU
'''
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from scipy import interpolate
from mpl_toolkits.mplot3d import Axes3D
import os
from matplotlib import font_manager as fm, rcParams
impo... | 29.875 | 80 | 0.643828 | 368 | 1,912 | 3.25 | 0.394022 | 0.016722 | 0.01505 | 0.040134 | 0.147157 | 0.103679 | 0.103679 | 0.090301 | 0.090301 | 0.048495 | 0 | 0.061429 | 0.11454 | 1,912 | 63 | 81 | 30.349206 | 0.645009 | 0.190377 | 0 | 0 | 0 | 0 | 0.066617 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.205128 | 0.025641 | 0.282051 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a4f041d9b0a170d8f07557ba868331447b86391 | 3,748 | py | Python | experiments/prediction_similarity.py | CrispyHarder/deep-weight-prior | b87e61d6ad590c61b90e188ec86bfb956073be65 | [
"MIT"
] | null | null | null | experiments/prediction_similarity.py | CrispyHarder/deep-weight-prior | b87e61d6ad590c61b90e188ec86bfb956073be65 | [
"MIT"
] | null | null | null | experiments/prediction_similarity.py | CrispyHarder/deep-weight-prior | b87e61d6ad590c61b90e188ec86bfb956073be65 | [
"MIT"
] | null | null | null | import os
import torch
import argparse
import yaml
import utils
import matplotlib.pyplot as plt
import seaborn as sns
import math
import numpy as np
from datetime import date
def plot_matrix_as_heatmap(matrix,show=False,title='',xlabel='',ylabel='',save_path=''):
'''plots the cosine similariy ma... | 33.765766 | 122 | 0.648346 | 526 | 3,748 | 4.444867 | 0.30038 | 0.083832 | 0.025663 | 0.017964 | 0.366125 | 0.329341 | 0.289991 | 0.289991 | 0.289991 | 0.289991 | 0 | 0.011648 | 0.221185 | 3,748 | 110 | 123 | 34.072727 | 0.789311 | 0.021078 | 0 | 0.326087 | 0 | 0 | 0.076078 | 0.005917 | 0 | 0 | 0 | 0 | 0 | 1 | 0.01087 | false | 0 | 0.108696 | 0 | 0.119565 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a4fe2e81bcaaac8a994f19cd3b167cfb47d0dfa | 2,116 | py | Python | plugins/pattern_navigate.py | OdatNurd/SublimeScraps | e9f97d2abc2a182ccec4a7ac8fa56e0911ef4c5c | [
"MIT"
] | 2 | 2017-01-26T06:27:58.000Z | 2017-07-13T22:48:19.000Z | plugins/pattern_navigate.py | OdatNurd/SublimeScraps | e9f97d2abc2a182ccec4a7ac8fa56e0911ef4c5c | [
"MIT"
] | null | null | null | plugins/pattern_navigate.py | OdatNurd/SublimeScraps | e9f97d2abc2a182ccec4a7ac8fa56e0911ef4c5c | [
"MIT"
] | null | null | null | import sublime
import sublime_plugin
# Related Reading:
# https://forum.sublimetext.com/t/find-for-a-macro/57387/
#
# This example command allows you to jump the cursor to the next or previous
# location of a given pattern of text, which can be either a regex or not and
# case sensitive or not based on command arg... | 37.785714 | 79 | 0.666352 | 308 | 2,116 | 4.568182 | 0.435065 | 0.017768 | 0.023454 | 0.015636 | 0.041222 | 0.041222 | 0.041222 | 0 | 0 | 0 | 0 | 0.006406 | 0.262287 | 2,116 | 55 | 80 | 38.472727 | 0.894939 | 0.518904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a50d6dea9ac0f55af007919a82e31ba7ff4734d | 6,440 | py | Python | main.py | gaelfargeas/markdown_to_static_site | 8f270ab38e7cf93f74b58bd64c96e7571f8c5262 | [
"BSD-3-Clause"
] | 1 | 2021-12-13T12:00:21.000Z | 2021-12-13T12:00:21.000Z | main.py | gaelfargeas/markdown_to_static_site | 8f270ab38e7cf93f74b58bd64c96e7571f8c5262 | [
"BSD-3-Clause"
] | null | null | null | main.py | gaelfargeas/markdown_to_static_site | 8f270ab38e7cf93f74b58bd64c96e7571f8c5262 | [
"BSD-3-Clause"
] | null | null | null | import argparse
from pathlib import Path
import markdown2
import jinja2
import os
import shutil
parser = argparse.ArgumentParser()
parser.add_argument("-i", help="Chemin du/des source.", type=str)
parser.add_argument("-o", help="Chemin du dossier des fichiers générés.", type=str)
parser.add_argument("-t", help="Chem... | 34.438503 | 88 | 0.39472 | 576 | 6,440 | 4.230903 | 0.164931 | 0.055806 | 0.051703 | 0.029545 | 0.579811 | 0.526057 | 0.501436 | 0.501436 | 0.482561 | 0.482561 | 0 | 0.007998 | 0.495186 | 6,440 | 186 | 89 | 34.623656 | 0.741618 | 0.005435 | 0 | 0.535211 | 0 | 0 | 0.072634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007042 | false | 0 | 0.042254 | 0 | 0.056338 | 0.084507 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a574b70d61a04a7120b0d3ff05a024266c78785 | 5,837 | py | Python | src/rics/cardinality/_enum.py | rsundqvist/rics | c67ff6703facb3170535dcf173d7e55734cedbc6 | [
"MIT"
] | 1 | 2022-02-24T22:12:13.000Z | 2022-02-24T22:12:13.000Z | src/rics/cardinality/_enum.py | rsundqvist/rics | c67ff6703facb3170535dcf173d7e55734cedbc6 | [
"MIT"
] | 26 | 2022-02-24T21:08:51.000Z | 2022-03-19T19:55:26.000Z | src/rics/cardinality/_enum.py | rsundqvist/rics | c67ff6703facb3170535dcf173d7e55734cedbc6 | [
"MIT"
] | null | null | null | from enum import Enum
from typing import Tuple, Union
# CardinalityLiteral = Literal["1:1", "1:N", "N:1", "M:N"]
CardinalityT = Union[str, "Cardinality"]
class Cardinality(Enum):
"""Enumeration type for cardinality relationships.
Cardinalities are comparable using numerical operators, and can be thought of ... | 31.38172 | 120 | 0.582662 | 687 | 5,837 | 4.848617 | 0.244541 | 0.040528 | 0.015011 | 0.026418 | 0.221855 | 0.194236 | 0.138397 | 0.088262 | 0.083458 | 0.058841 | 0 | 0.012314 | 0.262635 | 5,837 | 185 | 121 | 31.551351 | 0.761617 | 0.328422 | 0 | 0.094118 | 0 | 0.011765 | 0.087578 | 0.013405 | 0 | 0 | 0 | 0 | 0.011765 | 1 | 0.176471 | false | 0.011765 | 0.023529 | 0.011765 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a5751b3bd6e1acf691790d0550d0f5c13fdbbcc | 5,443 | py | Python | salt-pillar-linter.py | Noah-Huppert/salt-pillar-linter | a18d5504a46fe314e729ed611a0d8b29a2ea97aa | [
"MIT"
] | 1 | 2019-10-13T18:52:25.000Z | 2019-10-13T18:52:25.000Z | salt-pillar-linter.py | Noah-Huppert/salt-pillar-linter | a18d5504a46fe314e729ed611a0d8b29a2ea97aa | [
"MIT"
] | null | null | null | salt-pillar-linter.py | Noah-Huppert/salt-pillar-linter | a18d5504a46fe314e729ed611a0d8b29a2ea97aa | [
"MIT"
] | 1 | 2019-03-18T16:51:40.000Z | 2019-03-18T16:51:40.000Z | #!/usr/bin/env python3
import argparse
import os
import sys
import re
import yaml
import jinja2
# {{{1 Parse arguments
parser = argparse.ArgumentParser(description="Lints Salt states to ensure " +
"pillars are used correctly")
parser.prog = 'salt-pillar-linter'
parser.add_argument('-... | 29.263441 | 84 | 0.529855 | 634 | 5,443 | 4.395899 | 0.291798 | 0.017223 | 0.027628 | 0.040187 | 0.112307 | 0.06315 | 0.047363 | 0.047363 | 0 | 0 | 0 | 0.003721 | 0.358075 | 5,443 | 185 | 85 | 29.421622 | 0.793932 | 0.103619 | 0 | 0.229508 | 0 | 0 | 0.152514 | 0.007214 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016393 | false | 0 | 0.04918 | 0 | 0.081967 | 0.155738 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a58e81c41213397323d2016af44248b99f994ce | 15,107 | py | Python | machine.py | rkronberg/ml-project | 3129beb4ad1c92d7813df1611ccebdeca591b513 | [
"MIT"
] | null | null | null | machine.py | rkronberg/ml-project | 3129beb4ad1c92d7813df1611ccebdeca591b513 | [
"MIT"
] | null | null | null | machine.py | rkronberg/ml-project | 3129beb4ad1c92d7813df1611ccebdeca591b513 | [
"MIT"
] | null | null | null | '''
Optimal hyperparameters for CM + Laplacian kernel
Ea: alpha 1e-11, gamma 1e-4
polarizability: alpha 1e-3, gamma 1e-4
HOMO-LUMO gap: alpha 1e-2, gamma 1e-4
Dipole moment: alpha 1e-1, gamma 1e-3
Optimal hyperparameters for BoB + Laplacian kernel
Ea: alpha 1e-11, gamma 1e... | 41.05163 | 131 | 0.585358 | 2,235 | 15,107 | 3.908725 | 0.205369 | 0.035027 | 0.016026 | 0.018544 | 0.330243 | 0.252518 | 0.196314 | 0.175137 | 0.143887 | 0.119277 | 0 | 0.048628 | 0.271728 | 15,107 | 367 | 132 | 41.163488 | 0.74541 | 0.284702 | 0 | 0.116279 | 0 | 0 | 0.092924 | 0.018343 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037209 | false | 0 | 0.046512 | 0.004651 | 0.116279 | 0.013953 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a5a3364c51511dc6143a8fdb73fad93ea8e274b | 981 | py | Python | allegro_notify/soap/response/__init__.py | marlowww/AllegroNotify | 5fa8581debacbfa6e28cb2f3a0e6c177c88bc724 | [
"MIT"
] | null | null | null | allegro_notify/soap/response/__init__.py | marlowww/AllegroNotify | 5fa8581debacbfa6e28cb2f3a0e6c177c88bc724 | [
"MIT"
] | null | null | null | allegro_notify/soap/response/__init__.py | marlowww/AllegroNotify | 5fa8581debacbfa6e28cb2f3a0e6c177c88bc724 | [
"MIT"
] | null | null | null | from rinse import NS_MAP
from rinse.util import safe_parse_string
from soap import SoapFault
class SoapResponse():
def __init__(self, response):
self._response = response
# Parse response
try:
self._doc = safe_parse_string(response.content)
self._body = self._doc.x... | 31.645161 | 74 | 0.607543 | 119 | 981 | 4.789916 | 0.462185 | 0.04386 | 0.052632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001425 | 0.284404 | 981 | 30 | 75 | 32.7 | 0.810541 | 0.049949 | 0 | 0 | 0 | 0 | 0.121636 | 0.032293 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.190476 | 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 |
7a5b5fa3f82709fc1c5b8a1b0be0a9e5c031ce11 | 16,969 | py | Python | ecn.py | asappinc/emergent_comms_negotiation | 19ad405dcb83a3a521b6e1752cec075b69aa164b | [
"MIT"
] | 9 | 2020-03-04T13:24:25.000Z | 2022-03-15T09:52:37.000Z | ecn.py | asappinc/emergent_comms_negotiation | 19ad405dcb83a3a521b6e1752cec075b69aa164b | [
"MIT"
] | 2 | 2019-12-30T07:28:33.000Z | 2020-10-13T11:38:34.000Z | ecn.py | asappinc/emergent_comms_negotiation | 19ad405dcb83a3a521b6e1752cec075b69aa164b | [
"MIT"
] | 6 | 2018-03-15T18:08:45.000Z | 2019-07-15T06:49:16.000Z | import json
import time
import argparse
import os
import datetime
from os import path
import numpy as np
import torch
from torch import autograd, optim, nn
from torch.autograd import Variable
import torch.nn.functional as F
import nets
import sampling
import rewards_lib
import alive_sieve
def render_action(t, s, pro... | 38.830664 | 129 | 0.613236 | 2,145 | 16,969 | 4.522611 | 0.142657 | 0.052263 | 0.072364 | 0.029482 | 0.353366 | 0.327801 | 0.273271 | 0.231213 | 0.199464 | 0.183074 | 0 | 0.012472 | 0.281808 | 16,969 | 436 | 130 | 38.919725 | 0.78354 | 0.0452 | 0 | 0.245283 | 0 | 0.002695 | 0.067497 | 0.007472 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024259 | false | 0 | 0.040431 | 0 | 0.078167 | 0.056604 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a5cd88fd8c0d16613c9c5ac3d7d23b3867ecc8f | 2,724 | py | Python | nexar_requests.py | NexarDeveloper/nexar-examples-py | 9a55964d9a847cf124e8928308369074e67d1dfe | [
"MIT"
] | null | null | null | nexar_requests.py | NexarDeveloper/nexar-examples-py | 9a55964d9a847cf124e8928308369074e67d1dfe | [
"MIT"
] | null | null | null | nexar_requests.py | NexarDeveloper/nexar-examples-py | 9a55964d9a847cf124e8928308369074e67d1dfe | [
"MIT"
] | null | null | null | """Resources for making Nexar requests."""
import os, requests, re
from typing import Callable, Dict, Iterator
from requests_toolbelt import MultipartEncoder
NEXAR_URL = "https://api.nexar.com/graphql"
NEXAR_FILE_URL = "https://files.nexar.com/Upload/WorkflowAttachment"
class NexarClient:
def __init__(self, toke... | 32.819277 | 85 | 0.552863 | 289 | 2,724 | 5.103806 | 0.33564 | 0.016949 | 0.034576 | 0.042712 | 0.179661 | 0.105763 | 0.065085 | 0.065085 | 0.065085 | 0.065085 | 0 | 0.000547 | 0.329295 | 2,724 | 82 | 86 | 33.219512 | 0.806787 | 0.042584 | 0 | 0.129032 | 0 | 0 | 0.118441 | 0.009645 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112903 | false | 0 | 0.048387 | 0.016129 | 0.274194 | 0.048387 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a5ea12ecc4b49137705efc9bc329a10e0a04827 | 1,560 | py | Python | lab3/test.py | dssgabriel/obhpc | 6358dffc85b18e1e65cb80f8e9b11b191b86463d | [
"MIT"
] | null | null | null | lab3/test.py | dssgabriel/obhpc | 6358dffc85b18e1e65cb80f8e9b11b191b86463d | [
"MIT"
] | null | null | null | lab3/test.py | dssgabriel/obhpc | 6358dffc85b18e1e65cb80f8e9b11b191b86463d | [
"MIT"
] | null | null | null | import numpy as np
import sys
import time
import mblas
# Python matrix multiplication
def sgemm_py(A, B, C, n):
for i in range(0, n):
for j in range(0, n):
loc = A[i * n + j]
for k in range(0, n):
C[i * n + k] += loc * B[j * n + k]
# Time measurement of Python sgem... | 23.636364 | 54 | 0.592949 | 257 | 1,560 | 3.459144 | 0.210117 | 0.026997 | 0.101237 | 0.058493 | 0.445444 | 0.409449 | 0.389201 | 0.389201 | 0.310461 | 0.310461 | 0 | 0.015598 | 0.260256 | 1,560 | 65 | 55 | 24 | 0.754766 | 0.136538 | 0 | 0.261905 | 0 | 0 | 0.026139 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119048 | false | 0 | 0.095238 | 0 | 0.285714 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a5efdd3fa22d91097ebe01edb43cd8a8309df98 | 2,817 | py | Python | main.py | devlocalhost/covidpy | 4c2e8ce8831a389b9ca5bad8ed64aa3c4fb5c60c | [
"MIT"
] | null | null | null | main.py | devlocalhost/covidpy | 4c2e8ce8831a389b9ca5bad8ed64aa3c4fb5c60c | [
"MIT"
] | null | null | null | main.py | devlocalhost/covidpy | 4c2e8ce8831a389b9ca5bad8ed64aa3c4fb5c60c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from traceback import format_exc
from requests import get
from colorhex import colorex, BOLD
from datetime import datetime
from sys import exit
from os import system
BLURPLE = '7289da'
GREEN = '43b581'
YELLOW = 'fdcc4b'
RED = 'f04947'
def main():
system('clear')
country = input(colorex('Ent... | 29.652632 | 188 | 0.709265 | 394 | 2,817 | 5.002538 | 0.30203 | 0.055809 | 0.065956 | 0.05175 | 0.354135 | 0.292745 | 0.292745 | 0.24759 | 0.24759 | 0.24759 | 0 | 0.011213 | 0.14519 | 2,817 | 95 | 189 | 29.652632 | 0.807309 | 0.007455 | 0 | 0.382353 | 0 | 0.044118 | 0.424535 | 0.015379 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.088235 | 0 | 0.117647 | 0.147059 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a60ed8d5b51faf0acae3eb73b2aefe676b8f9fb | 407 | py | Python | data-detective-airflow/dags/dags/dummy/code/code.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/dags/dags/dummy/code/code.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2022-03-14T16:50:41.000Z | 2022-03-14T16:50:41.000Z | data-detective-airflow/dags/dags/dummy/code/code.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | import yaml
from pandas import DataFrame
def val_translate(context, in_df: DataFrame, file_name: str) -> DataFrame:
task = context.get('task')
out_df = in_df.copy()
with open(f'{task.dag.etc_dir}/{file_name}', 'r', encoding='utf-8') as cfg:
config = yaml.safe_load(cfg)
out_df['test'] = out_df.... | 27.133333 | 79 | 0.633907 | 62 | 407 | 3.983871 | 0.645161 | 0.080972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006289 | 0.218673 | 407 | 14 | 80 | 29.071429 | 0.77044 | 0 | 0 | 0 | 0 | 0 | 0.117936 | 0.07371 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 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 |
7a61638ec41b218d13f9ed19e5fe88c4dfeca072 | 331 | py | Python | Regex/3_Group_Groups_ Groupdict.py | FaranakAlikhah/ADM-HW1 | f4255112c58a4a200d04c943c74f096cc31e9dad | [
"MIT"
] | null | null | null | Regex/3_Group_Groups_ Groupdict.py | FaranakAlikhah/ADM-HW1 | f4255112c58a4a200d04c943c74f096cc31e9dad | [
"MIT"
] | null | null | null | Regex/3_Group_Groups_ Groupdict.py | FaranakAlikhah/ADM-HW1 | f4255112c58a4a200d04c943c74f096cc31e9dad | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # section 13.Regex and Parsing challenges :
#
# ### writer : Faranak Alikhah 1954128
# ### 3. Group(), Groups() & Groupdict() :
# In[ ]:
import re
s= input()
pattern=r'([A-Z a-z 0-9])\1+'#alphabet numeric
m=re.search(pattern,s)
if m:
print(m.group(1))
else:
prin... | 13.791667 | 47 | 0.589124 | 51 | 331 | 3.823529 | 0.784314 | 0.020513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060837 | 0.205438 | 331 | 23 | 48 | 14.391304 | 0.680608 | 0.528701 | 0 | 0 | 0 | 0 | 0.130435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a631c8b774ce30119cf2fb20a75fd6b612229ac | 2,238 | py | Python | checker/__main__.py | vyahello/pep8-checker | fe5d0746201d3a26ec2ae0c9c4a70203700af1f0 | [
"MIT"
] | 3 | 2020-08-09T15:17:44.000Z | 2022-03-19T22:16:25.000Z | checker/__main__.py | vyahello/pep8-checker | fe5d0746201d3a26ec2ae0c9c4a70203700af1f0 | [
"MIT"
] | 4 | 2020-08-12T21:25:16.000Z | 2021-04-17T10:57:57.000Z | checker/__main__.py | vyahello/pep8-checker | fe5d0746201d3a26ec2ae0c9c4a70203700af1f0 | [
"MIT"
] | 1 | 2020-12-17T10:06:37.000Z | 2020-12-17T10:06:37.000Z | """Represents executable entrypoint for `pep8-checker` application."""
import http
import os
from typing import Any, Dict, Optional
from pathlib import Path
import attr
from bottle import TEMPLATE_PATH, abort, request, route, run, view
import requests
TEMPLATE_PATH.append(str(Path('./') / 'checker' / 'views'))
def a... | 27.975 | 78 | 0.602324 | 268 | 2,238 | 4.940299 | 0.391791 | 0.021148 | 0.018127 | 0.022659 | 0.049849 | 0.049849 | 0.049849 | 0 | 0 | 0 | 0 | 0.005974 | 0.252011 | 2,238 | 79 | 79 | 28.329114 | 0.784946 | 0.164433 | 0 | 0 | 0 | 0 | 0.143643 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075472 | false | 0 | 0.132075 | 0 | 0.377358 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a66f09c5519425a30cfc0792ff8af6ceb340d6d | 15,676 | py | Python | Projects/Space Invaders/main c clara.py | busterbeam/pygame | 5dbbfd8dff5785e5d1010909aec51e9ef8d1cf5c | [
"MIT"
] | 6 | 2018-05-26T13:06:34.000Z | 2021-11-08T11:44:28.000Z | Projects/Space Invaders/main c clara.py | busterbeam/pygame | 5dbbfd8dff5785e5d1010909aec51e9ef8d1cf5c | [
"MIT"
] | 1 | 2018-09-11T18:35:56.000Z | 2019-05-06T13:41:32.000Z | Projects/Space Invaders/main c clara.py | busterbeam/pygame | 5dbbfd8dff5785e5d1010909aec51e9ef8d1cf5c | [
"MIT"
] | 11 | 2018-06-01T01:53:11.000Z | 2021-08-11T01:00:17.000Z | import pygame
from pygame.locals import *
from os.path import realpath, dirname
from time import time
from random import randint
def main():
running, settings = load()
while running:
settings = update(settings)
draw(**settings)
running = check_exit(**settings)
pygame.quit()
quit... | 36.37123 | 158 | 0.559773 | 2,124 | 15,676 | 3.974576 | 0.093691 | 0.08055 | 0.06823 | 0.027719 | 0.41874 | 0.346245 | 0.277422 | 0.260602 | 0.219972 | 0.214996 | 0 | 0.02628 | 0.288785 | 15,676 | 431 | 159 | 36.37123 | 0.730918 | 0.008803 | 0 | 0.265985 | 0 | 0 | 0.101577 | 0.023367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097187 | false | 0.005115 | 0.012788 | 0.002558 | 0.16624 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a699d75b7048967367caac0285a0e4744e00927 | 2,168 | py | Python | src/redrawing/components/debug.py | ReDrawing/redrawing | 20743f0c8d64d9d2e15cefa840423c9698c74653 | [
"MIT"
] | 1 | 2021-04-20T00:00:15.000Z | 2021-04-20T00:00:15.000Z | src/redrawing/components/debug.py | ReDrawing/redrawing | 20743f0c8d64d9d2e15cefa840423c9698c74653 | [
"MIT"
] | null | null | null | src/redrawing/components/debug.py | ReDrawing/redrawing | 20743f0c8d64d9d2e15cefa840423c9698c74653 | [
"MIT"
] | 1 | 2021-07-18T03:57:01.000Z | 2021-07-18T03:57:01.000Z | import time
from .stage import Stage
class Debug_Stage(Stage):
'''!
Stage for debugging, print messages in setup and process
'''
configs_default={"name":"debug_stage", "blank_line":False, "wait_key": False, "wait_seconds": 0, "context_debug":"context"}
def __init__(self, configs={}):
... | 32.358209 | 127 | 0.579336 | 264 | 2,168 | 4.587121 | 0.242424 | 0.109001 | 0.06441 | 0.056152 | 0.366639 | 0.366639 | 0.366639 | 0.348472 | 0.348472 | 0.348472 | 0 | 0.002695 | 0.315498 | 2,168 | 66 | 128 | 32.848485 | 0.813342 | 0.374077 | 0 | 0.48 | 0 | 0 | 0.24144 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.08 | 0 | 0.28 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a69a21aa05fe2df5e6fa114f41410a45c4bd7d5 | 6,659 | py | Python | bin/build.py | mgijax/mgv-data | 99a2f5a8f56d7ebb6a014431d8a20df721df58e2 | [
"MIT"
] | 1 | 2022-03-04T06:20:33.000Z | 2022-03-04T06:20:33.000Z | bin/build.py | JoelRichardson/mgv-data | 99a2f5a8f56d7ebb6a014431d8a20df721df58e2 | [
"MIT"
] | 1 | 2021-04-06T13:17:47.000Z | 2021-04-06T13:17:47.000Z | bin/build.py | JoelRichardson/mgv-data | 99a2f5a8f56d7ebb6a014431d8a20df721df58e2 | [
"MIT"
] | 1 | 2022-03-04T11:49:53.000Z | 2022-03-04T11:49:53.000Z | #
# build.py
#
# Builds a back end for MGV based on a config file.
#
import os
import sys
import time
import json
from argparse import ArgumentParser
import re
from urllib.request import urlopen
import gzip
from lib.Config import ConfigFileReader
from lib.Downloader import downloaderNameMap
from lib.Importer import i... | 37.410112 | 134 | 0.522301 | 772 | 6,659 | 4.433938 | 0.257772 | 0.051417 | 0.05463 | 0.018697 | 0.129127 | 0.09816 | 0.084721 | 0.0409 | 0.018113 | 0 | 0 | 0.001136 | 0.33894 | 6,659 | 177 | 135 | 37.621469 | 0.776465 | 0.038895 | 0 | 0.162162 | 0 | 0.027027 | 0.199561 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0.006757 | 0.114865 | 0.006757 | 0.222973 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a6c43158e65f1ef63580d8b4dd6ab79de3bce35 | 10,245 | py | Python | plane_waves/polarization_animation.py | raptor/ECEn360_Winter2016 | 65076f19c561ee51c8757720694d1ef00f829bdb | [
"MIT"
] | null | null | null | plane_waves/polarization_animation.py | raptor/ECEn360_Winter2016 | 65076f19c561ee51c8757720694d1ef00f829bdb | [
"MIT"
] | 1 | 2019-03-03T00:54:52.000Z | 2019-03-04T18:06:38.000Z | plane_waves/polarization_animation.py | raptor/ECEn360_Winter2016 | 65076f19c561ee51c8757720694d1ef00f829bdb | [
"MIT"
] | 1 | 2019-03-02T02:50:24.000Z | 2019-03-02T02:50:24.000Z | #----------------------------------------------------------------------
# # 9/25/18 - Update to use Python 3.6, PyQt5 and pyqtgraph 0.10.0
# G. Nordin
#----------------------------------------------------------------------
from PyQt5 import QtGui, QtCore
import pyqtgraph as pg
import pyqtgraph.opengl as gl
import nump... | 35.085616 | 140 | 0.730112 | 1,682 | 10,245 | 4.218193 | 0.171225 | 0.019168 | 0.007611 | 0.007329 | 0.364764 | 0.292319 | 0.261311 | 0.25229 | 0.234249 | 0.196476 | 0 | 0.033576 | 0.127867 | 10,245 | 291 | 141 | 35.206186 | 0.760492 | 0.219815 | 0 | 0.150754 | 0 | 0 | 0.022607 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025126 | false | 0 | 0.025126 | 0 | 0.060302 | 0.01005 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a6d0f5efa3463ae20d88607a8d5407e7e5f2f04 | 4,102 | py | Python | FEMpy/tests/unit/test_assemblers.py | floydie7/FEMpy | 50e11b88dc249ff7c599472b455b07b04df1afd7 | [
"MIT"
] | null | null | null | FEMpy/tests/unit/test_assemblers.py | floydie7/FEMpy | 50e11b88dc249ff7c599472b455b07b04df1afd7 | [
"MIT"
] | null | null | null | FEMpy/tests/unit/test_assemblers.py | floydie7/FEMpy | 50e11b88dc249ff7c599472b455b07b04df1afd7 | [
"MIT"
] | 1 | 2022-01-22T06:39:38.000Z | 2022-01-22T06:39:38.000Z | import numpy as np
from FEMpy import Mesh, FEBasis, Assemblers
mesh_1D_linear = Mesh.Interval1D(0, 1, 1/2, 'linear')
basis_1D_linear = FEBasis.IntervalBasis1D('linear')
mesh_1D_quadratic = Mesh.Interval1D(0, 1, 1/2, 'quadratic')
basis_1D_quadratic = FEBasis.IntervalBasis1D('quadratic')
mesh_2D_triangular_linear = M... | 53.973684 | 112 | 0.515358 | 512 | 4,102 | 3.875 | 0.132813 | 0.058468 | 0.049899 | 0.034274 | 0.749496 | 0.682964 | 0.612903 | 0.540323 | 0.524698 | 0.497984 | 0 | 0.131401 | 0.352511 | 4,102 | 75 | 113 | 54.693333 | 0.615587 | 0.044125 | 0 | 0.038462 | 0 | 0 | 0.01072 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 1 | 0.134615 | false | 0 | 0.038462 | 0.019231 | 0.192308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a6f7d87a2d1fb4721a02d6017c7510a78a70218 | 7,420 | py | Python | fonts/terminus-font-4.49.1/bin/bdf.py | xfnw/yaft | c57e8f3014aa5cf743ca0855e543dbafc2e0db22 | [
"MIT"
] | null | null | null | fonts/terminus-font-4.49.1/bin/bdf.py | xfnw/yaft | c57e8f3014aa5cf743ca0855e543dbafc2e0db22 | [
"MIT"
] | null | null | null | fonts/terminus-font-4.49.1/bin/bdf.py | xfnw/yaft | c57e8f3014aa5cf743ca0855e543dbafc2e0db22 | [
"MIT"
] | null | null | null | #
# Copyright (C) 2017-2020 Dimitar Toshkov Zhekov <dimitar.zhekov@gmail.com>
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the Free
# Software Foundation; either version 2 of the License, or (at your option)
# any later v... | 23.935484 | 105 | 0.68814 | 1,101 | 7,420 | 4.514078 | 0.235241 | 0.034406 | 0.028169 | 0.032596 | 0.273843 | 0.198793 | 0.135614 | 0.099396 | 0.065996 | 0.065996 | 0 | 0.019133 | 0.175876 | 7,420 | 309 | 106 | 24.012945 | 0.793622 | 0.124124 | 0 | 0.182796 | 0 | 0 | 0.087212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145161 | false | 0 | 0.026882 | 0.069892 | 0.387097 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a6f999b096c719861108c73f2eea05851482105 | 9,488 | py | Python | gym_brt/envs/qube_base_env.py | zuzuba/quanser-openai-driver | c4bec08a8c7ac1c05dec26c863f899f44f15fd06 | [
"MIT"
] | null | null | null | gym_brt/envs/qube_base_env.py | zuzuba/quanser-openai-driver | c4bec08a8c7ac1c05dec26c863f899f44f15fd06 | [
"MIT"
] | null | null | null | gym_brt/envs/qube_base_env.py | zuzuba/quanser-openai-driver | c4bec08a8c7ac1c05dec26c863f899f44f15fd06 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import gym
import time
import math
import numpy as np
from gym import spaces
from gym.utils import seeding
from gym_brt.quanser import QubeServo2, QubeServo2Simulator
from gym_brt.control import QubeFlipUpCont... | 33.059233 | 106 | 0.602867 | 1,178 | 9,488 | 4.617997 | 0.202037 | 0.028125 | 0.004963 | 0.004412 | 0.194118 | 0.113971 | 0.104779 | 0.069853 | 0.039706 | 0.039706 | 0 | 0.027998 | 0.296058 | 9,488 | 286 | 107 | 33.174825 | 0.786495 | 0.096648 | 0 | 0.127358 | 0 | 0 | 0.02037 | 0.002708 | 0 | 0 | 0 | 0.003497 | 0 | 1 | 0.084906 | false | 0 | 0.056604 | 0.018868 | 0.216981 | 0.004717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a70d71d5291dbc0c13322848d901d168bba6bc7 | 3,178 | py | Python | main/helpers.py | anngle/t923 | 078d2c566c77afa2ca1be7663d3c23c9f0ecddac | [
"BSD-3-Clause"
] | 1 | 2021-11-28T05:46:45.000Z | 2021-11-28T05:46:45.000Z | main/helpers.py | anngle/t923 | 078d2c566c77afa2ca1be7663d3c23c9f0ecddac | [
"BSD-3-Clause"
] | null | null | null | main/helpers.py | anngle/t923 | 078d2c566c77afa2ca1be7663d3c23c9f0ecddac | [
"BSD-3-Clause"
] | null | null | null | #coding=utf-8
from werkzeug import import_string, cached_property
from functools import wraps
from flask import request,render_template,session,current_app,url_for
from datetime import timedelta,datetime
# from main.extensions import redis_store
from flask_sse import sse
# from urllib.parse import urljoin
# from urll... | 28.890909 | 73 | 0.648521 | 414 | 3,178 | 4.746377 | 0.309179 | 0.035623 | 0.021374 | 0.022901 | 0.078372 | 0.033588 | 0 | 0 | 0 | 0 | 0 | 0.00574 | 0.232536 | 3,178 | 110 | 74 | 28.890909 | 0.799918 | 0.237256 | 0 | 0 | 0 | 0 | 0.053981 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.214286 | 0.035714 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a710889018c82681c9e827f743aab1961a6e26a | 1,482 | py | Python | LeetCode/medium/search_a_2d_matrix_ii.py | hnc01/online-judge | d306dc32c9d8600a987affbe4e4b80809f0b0982 | [
"MIT"
] | null | null | null | LeetCode/medium/search_a_2d_matrix_ii.py | hnc01/online-judge | d306dc32c9d8600a987affbe4e4b80809f0b0982 | [
"MIT"
] | null | null | null | LeetCode/medium/search_a_2d_matrix_ii.py | hnc01/online-judge | d306dc32c9d8600a987affbe4e4b80809f0b0982 | [
"MIT"
] | null | null | null | '''
https://leetcode.com/problems/search-a-2d-matrix-ii/
240. Search a 2D Matrix II
Write an efficient algorithm that searches for a target value in an m x n integer matrix. The matrix has the following properties:
- Integers in each row are sorted in ascending from left to right.
- Intege... | 32.933333 | 134 | 0.536437 | 206 | 1,482 | 3.859223 | 0.514563 | 0.067925 | 0.037736 | 0.060377 | 0.210063 | 0.072956 | 0 | 0 | 0 | 0 | 0 | 0.057082 | 0.361673 | 1,482 | 44 | 135 | 33.681818 | 0.783298 | 0.412281 | 0 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.263158 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a718a243bcf5867511bde8c48494b0dbfa75d51 | 7,503 | py | Python | automow_ekf/src/automow_ekf/__init__.py | Auburn-Automow/au_automow_common | 920be6a740aa6d738e9954417b41490e353efd04 | [
"BSD-3-Clause"
] | 43 | 2016-03-05T17:06:29.000Z | 2022-03-10T08:50:46.000Z | automow_ekf/src/automow_ekf/__init__.py | qintxwd/au_automow_common | 920be6a740aa6d738e9954417b41490e353efd04 | [
"BSD-3-Clause"
] | 2 | 2017-07-10T12:43:49.000Z | 2019-03-13T13:57:31.000Z | automow_ekf/src/automow_ekf/__init__.py | qintxwd/au_automow_common | 920be6a740aa6d738e9954417b41490e353efd04 | [
"BSD-3-Clause"
] | 22 | 2016-03-23T06:10:52.000Z | 2022-03-10T08:50:49.000Z | import numpy as np
import threading
def wrapToPi(angle):
"""
Wrap a given angle in radians to the range -pi to pi.
@param angle : The angle to be wrapped
@param type angle : float
@return : Wrapped angle
@rtype : float
"""
return np.mod(angle + np.pi, 2.0 * np.pi) - np.pi
class Aut... | 38.086294 | 103 | 0.514461 | 1,280 | 7,503 | 2.867188 | 0.107813 | 0.076294 | 0.141689 | 0.053951 | 0.584469 | 0.539237 | 0.462398 | 0.39346 | 0.318801 | 0.222888 | 0 | 0.055622 | 0.329068 | 7,503 | 196 | 104 | 38.280612 | 0.673421 | 0.1666 | 0 | 0.136691 | 0 | 0 | 0.000331 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.100719 | false | 0 | 0.014388 | 0 | 0.273381 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a719e5fbbaf6f206dcab2bd1b09cd9219be9533 | 2,028 | py | Python | functions/oxford.py | codefire53/aegisbot | b4cb4f42e3cbdf8554eb234661cc6091e83f1be4 | [
"MIT"
] | null | null | null | functions/oxford.py | codefire53/aegisbot | b4cb4f42e3cbdf8554eb234661cc6091e83f1be4 | [
"MIT"
] | null | null | null | functions/oxford.py | codefire53/aegisbot | b4cb4f42e3cbdf8554eb234661cc6091e83f1be4 | [
"MIT"
] | null | null | null | '''Importing necessary modules'''
from urllib.parse import quote
import urllib
import requests
from bs4 import BeautifulSoup
'''Function to search word/phrase on oxford dictionary'''
def define(word):
#Oxford dictionary search query url
url='https://en.oxforddictionaries.com/definition/'+quote(word)
#Parse ... | 45.066667 | 113 | 0.61785 | 275 | 2,028 | 4.516364 | 0.421818 | 0.016103 | 0.02657 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002011 | 0.2643 | 2,028 | 44 | 114 | 46.090909 | 0.830429 | 0.321499 | 0 | 0 | 0 | 0 | 0.140661 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.142857 | 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 |
7a72cc0496b6255bcf4c039018a93cc9e747a2d4 | 3,546 | py | Python | checkov/common/output/baseline.py | peaudecastor/checkov | a4804b61c1b1390b7abd44ab53285fcbc3e7e80b | [
"Apache-2.0"
] | null | null | null | checkov/common/output/baseline.py | peaudecastor/checkov | a4804b61c1b1390b7abd44ab53285fcbc3e7e80b | [
"Apache-2.0"
] | null | null | null | checkov/common/output/baseline.py | peaudecastor/checkov | a4804b61c1b1390b7abd44ab53285fcbc3e7e80b | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import json
from collections import defaultdict
from typing import Any, TYPE_CHECKING
if TYPE_CHECKING:
from checkov.common.output.record import Record
from checkov.common.output.report import Report
from checkov.common.typing import _BaselineFinding, _BaselineFailedChec... | 40.295455 | 111 | 0.57868 | 392 | 3,546 | 4.936224 | 0.239796 | 0.099225 | 0.028941 | 0.041344 | 0.170026 | 0.15814 | 0.130749 | 0.082687 | 0.045478 | 0.045478 | 0 | 0.0017 | 0.336435 | 3,546 | 87 | 112 | 40.758621 | 0.820654 | 0.147208 | 0 | 0 | 0 | 0 | 0.049232 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0.035088 | 0.122807 | 0 | 0.298246 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a7625718df7e6640a9e34803147593716f4fd9f | 5,618 | py | Python | tests/support/rabbitmq/__init__.py | juntossomosmais/django-stomp | 65e7cb86f8f6e2336a2739df8f33f985c9b4c792 | [
"MIT"
] | 32 | 2019-06-10T13:24:11.000Z | 2021-12-17T21:00:41.000Z | tests/support/rabbitmq/__init__.py | juntossomosmais/django-stomp | 65e7cb86f8f6e2336a2739df8f33f985c9b4c792 | [
"MIT"
] | 26 | 2019-12-17T12:51:00.000Z | 2022-02-16T16:13:14.000Z | tests/support/rabbitmq/__init__.py | juntossomosmais/django-stomp | 65e7cb86f8f6e2336a2739df8f33f985c9b4c792 | [
"MIT"
] | 1 | 2021-09-11T03:55:30.000Z | 2021-09-11T03:55:30.000Z | import json
import logging
import urllib.parse
from time import sleep
from typing import Generator
from typing import Optional
import requests
from requests.adapters import HTTPAdapter
from tests.support.dtos import ConsumerStatus
from tests.support.dtos import CurrentDestinationStatus
from tests.support.dtos import ... | 41.007299 | 117 | 0.672481 | 611 | 5,618 | 5.826514 | 0.222586 | 0.061798 | 0.050562 | 0.038202 | 0.266292 | 0.196067 | 0.170225 | 0.105618 | 0.105618 | 0.105618 | 0 | 0.009933 | 0.229441 | 5,618 | 136 | 118 | 41.308824 | 0.812428 | 0 | 0 | 0.070175 | 0 | 0 | 0.122998 | 0.016376 | 0 | 0 | 0 | 0 | 0.008772 | 1 | 0.052632 | false | 0 | 0.096491 | 0 | 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 |
7a77731700f270ddcae5f715cc1cc8dec54c3bd0 | 964 | py | Python | Searching/Ternary Search/Python/TernarySearch.py | priyanshi2808/DSA | 1e907e869a55049c6b5d9469d8d52bfce2add4f0 | [
"MIT"
] | 8 | 2021-10-14T16:31:54.000Z | 2022-01-05T11:56:37.000Z | Searching/Ternary Search/Python/TernarySearch.py | priyanshi2808/DSA | 1e907e869a55049c6b5d9469d8d52bfce2add4f0 | [
"MIT"
] | 55 | 2021-10-15T14:53:05.000Z | 2021-12-21T07:29:00.000Z | Searching/Ternary Search/Python/TernarySearch.py | priyanshi2808/DSA | 1e907e869a55049c6b5d9469d8d52bfce2add4f0 | [
"MIT"
] | 12 | 2021-10-14T12:13:22.000Z | 2022-02-22T13:41:42.000Z | # Here, left = 0 and right = length of array - 1
def ternarySearch(ar , key , left , right):
if left < right:
inter = (right - left ) // 3
rightmid = right - inter
leftmid = left +inter
if (ar[rightmid] == key ):
print( "Element found!Index:",rig... | 22.952381 | 64 | 0.48029 | 102 | 964 | 4.539216 | 0.343137 | 0.097192 | 0.116631 | 0.086393 | 0.107991 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033392 | 0.409751 | 964 | 41 | 65 | 23.512195 | 0.780316 | 0.135892 | 0 | 0.105263 | 0 | 0 | 0.065375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.368421 | 0.157895 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a7790db65580f59c5c2b4b7513f7c447480f699 | 1,114 | py | Python | feature_engineering/featuretools.py | bukosabino/ml-utils | 3f9379e0558a3db8f4b43b924da8fa30f6d42edb | [
"MIT"
] | 2 | 2019-03-03T15:17:51.000Z | 2021-01-31T15:35:21.000Z | feature_engineering/featuretools.py | bukosabino/ml-utils | 3f9379e0558a3db8f4b43b924da8fa30f6d42edb | [
"MIT"
] | null | null | null | feature_engineering/featuretools.py | bukosabino/ml-utils | 3f9379e0558a3db8f4b43b924da8fa30f6d42edb | [
"MIT"
] | 1 | 2018-10-20T16:42:54.000Z | 2018-10-20T16:42:54.000Z | import featuretools as ft
def merge_featuretools(df_parent, df_related, parent_column, related_column, date_column):
"""Automated feature engineering
More info:
https://www.featuretools.com
https://github.com/featuretools/featuretools
https://docs.featuretools.com
http://www.jmaxkanter.com/st... | 32.764706 | 93 | 0.66158 | 128 | 1,114 | 5.546875 | 0.4375 | 0.050704 | 0.039437 | 0.039437 | 0.064789 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004723 | 0.239677 | 1,114 | 33 | 94 | 33.757576 | 0.83353 | 0.29623 | 0 | 0 | 0 | 0 | 0.061415 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a788cd072bdcfa375e6dc2987b8609a8045d6fa | 6,234 | py | Python | recommender/colaborative/prepare_data.py | DigasNikas/PyRecommender | fb056929bba45431a5fc98691332b9bf91e730bb | [
"MIT"
] | 2 | 2017-05-27T15:06:04.000Z | 2018-11-23T06:43:25.000Z | recommender/colaborative/prepare_data.py | DigasNikas/PyRecommender | fb056929bba45431a5fc98691332b9bf91e730bb | [
"MIT"
] | null | null | null | recommender/colaborative/prepare_data.py | DigasNikas/PyRecommender | fb056929bba45431a5fc98691332b9bf91e730bb | [
"MIT"
] | null | null | null | from pyspark import SQLContext
from pyspark.sql.functions import lit
from datetime import datetime
def prepare_data(sc, months, output_path):
sqlContext = SQLContext(sc)
sqlContext.setConf('spark.sql.parquet.compression.codec', 'snappy')
blacklist = []
blacklist_top50 = ['({})|'.format(x) for x in g... | 38.9625 | 115 | 0.623837 | 774 | 6,234 | 4.788114 | 0.205426 | 0.040475 | 0.105505 | 0.025634 | 0.401241 | 0.320022 | 0.286023 | 0.21047 | 0.174312 | 0.146249 | 0 | 0.012937 | 0.243664 | 6,234 | 159 | 116 | 39.207547 | 0.773065 | 0.076195 | 0 | 0.142857 | 0 | 0 | 0.104384 | 0.013396 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0.026786 | 0.026786 | 0 | 0.169643 | 0.044643 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a7b176678afd25894ed7a7d41c1b8b41f6c77eb | 6,711 | py | Python | social-update.py | uditvashisht/SaralGyaanTwitterRedditBot | 7e6238afd57383eb6a95df4395e23c868c5e4b2c | [
"MIT"
] | null | null | null | social-update.py | uditvashisht/SaralGyaanTwitterRedditBot | 7e6238afd57383eb6a95df4395e23c868c5e4b2c | [
"MIT"
] | null | null | null | social-update.py | uditvashisht/SaralGyaanTwitterRedditBot | 7e6238afd57383eb6a95df4395e23c868c5e4b2c | [
"MIT"
] | null | null | null | import tweepy
import praw
import prawcore
import time
import requests
import logging
import os
import shutil
import facebook
import requests
# pip install python-decouple
from decouple import config
# Login Credentials
REDDIT_CLIENT_ID = config('REDDIT_CLIENT_ID')
REDDIT_CLIENT_SECRET = config('REDDIT_CLIENT_SECRET')... | 30.22973 | 139 | 0.627924 | 779 | 6,711 | 5.223363 | 0.288832 | 0.044237 | 0.026542 | 0.017695 | 0.147456 | 0.120177 | 0.101008 | 0.055542 | 0.043254 | 0.043254 | 0 | 0.004091 | 0.271495 | 6,711 | 221 | 140 | 30.366516 | 0.828186 | 0.252868 | 0 | 0.226087 | 0 | 0.008696 | 0.224087 | 0.043223 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.026087 | 0.095652 | 0 | 0.147826 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a7eeca58b940b9dce392dd95136944747af3a0f | 2,553 | py | Python | youths/management/commands/import_youth_data.py | City-of-Helsinki/youth-membership | 36f5324fa7444753d49fb476e71b09cc6e842dc2 | [
"MIT"
] | null | null | null | youths/management/commands/import_youth_data.py | City-of-Helsinki/youth-membership | 36f5324fa7444753d49fb476e71b09cc6e842dc2 | [
"MIT"
] | 31 | 2020-07-02T11:26:39.000Z | 2022-03-12T00:50:49.000Z | youths/management/commands/import_youth_data.py | City-of-Helsinki/youth-membership | 36f5324fa7444753d49fb476e71b09cc6e842dc2 | [
"MIT"
] | null | null | null | import json
from django.contrib.auth import get_user_model
from django.core import serializers
from django.core.management.base import BaseCommand
from django.db import transaction
from django.db.models.signals import post_save
from helusers.models import ADGroup, ADGroupMapping
from sequences.models import Sequence
... | 37 | 120 | 0.647865 | 288 | 2,553 | 5.559028 | 0.388889 | 0.109931 | 0.04747 | 0.035603 | 0.12055 | 0.057464 | 0.039975 | 0 | 0 | 0 | 0 | 0.001598 | 0.264787 | 2,553 | 68 | 121 | 37.544118 | 0.851359 | 0 | 0 | 0 | 0 | 0.019231 | 0.100274 | 0.025069 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.230769 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a7f11e6c6a877151c17c25eab1dd510ce82e20f | 2,412 | py | Python | 1_screen_pipeline/03_peak_intersection/pcommon.py | weng-lab/SCREEN | e8e7203e2f9baa2de70e2f75bdad3ae24b568367 | [
"MIT"
] | 5 | 2020-07-30T02:35:20.000Z | 2020-12-24T01:26:47.000Z | 1_screen_pipeline/03_peak_intersection/pcommon.py | weng-lab/SCREEN | e8e7203e2f9baa2de70e2f75bdad3ae24b568367 | [
"MIT"
] | 6 | 2021-03-04T10:30:11.000Z | 2022-03-16T16:47:47.000Z | 1_screen_pipeline/03_peak_intersection/pcommon.py | weng-lab/SCREEN | e8e7203e2f9baa2de70e2f75bdad3ae24b568367 | [
"MIT"
] | 2 | 2020-12-08T10:05:02.000Z | 2022-03-10T09:41:19.000Z |
# SPDX-License-Identifier: MIT
# Copyright (c) 2016-2020 Michael Purcaro, Henry Pratt, Jill Moore, Zhiping Weng
from __future__ import print_function
import sys
import os
import gzip
import json
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)),
"../../../metadata... | 33.5 | 110 | 0.569652 | 271 | 2,412 | 5.02214 | 0.431734 | 0.036738 | 0.038207 | 0.024982 | 0.038207 | 0.038207 | 0 | 0 | 0 | 0 | 0 | 0.00519 | 0.281095 | 2,412 | 71 | 111 | 33.971831 | 0.7797 | 0.044362 | 0 | 0.054545 | 0 | 0 | 0.173837 | 0.051282 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0 | 0.127273 | 0 | 0.236364 | 0.163636 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a8034f5cd14516baa13647e9508787ee3e7837b | 18,882 | py | Python | nested/train_vgg.py | yingyichen-cyy/Nested-Co-teaching | 8b7e3ed02d8994d93dcb2011340fe28ba6012283 | [
"MIT"
] | 39 | 2021-04-29T08:36:59.000Z | 2022-02-26T03:53:48.000Z | nested/train_vgg.py | yingyichen-cyy/Nested-Co-teaching | 8b7e3ed02d8994d93dcb2011340fe28ba6012283 | [
"MIT"
] | 1 | 2021-05-19T07:53:53.000Z | 2021-09-24T09:00:45.000Z | nested/train_vgg.py | yingyichen-cyy/Nested-Co-teaching | 8b7e3ed02d8994d93dcb2011340fe28ba6012283 | [
"MIT"
] | 3 | 2021-05-14T06:53:19.000Z | 2021-08-04T13:44:24.000Z | import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim.lr_scheduler import MultiStepLR
import json
import os
import argparse
import utils
from model import vgg
import itertools
import numpy as np
import random
import torchvision
import torchvision.transforms as transforms
from torch.utils... | 37.915663 | 283 | 0.517848 | 2,016 | 18,882 | 4.69494 | 0.15129 | 0.027364 | 0.031379 | 0.010988 | 0.464237 | 0.439197 | 0.402007 | 0.390808 | 0.374326 | 0.365029 | 0 | 0.020141 | 0.300551 | 18,882 | 498 | 284 | 37.915663 | 0.696525 | 0.111588 | 0 | 0.437107 | 0 | 0.006289 | 0.086517 | 0.002828 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022013 | false | 0 | 0.053459 | 0 | 0.091195 | 0.034591 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a8cb7844af88c35eb1b63d6733fa0006e6aff06 | 1,291 | py | Python | src/xg_all/xg.py | tapojyotipaul/xgboost-benchmarks | 789b99acbf401617a45a8c82dbae1210378527d8 | [
"Apache-2.0"
] | null | null | null | src/xg_all/xg.py | tapojyotipaul/xgboost-benchmarks | 789b99acbf401617a45a8c82dbae1210378527d8 | [
"Apache-2.0"
] | null | null | null | src/xg_all/xg.py | tapojyotipaul/xgboost-benchmarks | 789b99acbf401617a45a8c82dbae1210378527d8 | [
"Apache-2.0"
] | 2 | 2021-04-07T12:32:42.000Z | 2021-04-21T16:28:42.000Z | from timeit import default_timer as timer
import xgboost as xgb
import common
import gc
NUM_LOOPS = 100
PARAMS = {
'objective': 'reg:squarederror',
'alpha': 0.9,
'max_bin': 256,
'scale_pos_weight': 2,
'learning_rate': 0.1,
'subsample': 1,
'reg_lambda': 1,
'min_child_weight': 0,
... | 26.346939 | 81 | 0.659954 | 172 | 1,291 | 4.69186 | 0.5 | 0.02974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036743 | 0.219985 | 1,291 | 49 | 82 | 26.346939 | 0.764647 | 0.10457 | 0 | 0 | 0 | 0 | 0.138261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.111111 | 0 | 0.138889 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a8dbcfb9f48db68d70725b0f63d6593739a5371 | 255 | py | Python | gyak/03/duplum-torol.py | horverno/sze-academic-python | 3ac8f2c62b827822f529dc600eef91713e82d551 | [
"MIT"
] | 4 | 2019-06-24T17:01:03.000Z | 2021-11-09T21:48:32.000Z | gyak/03/duplum-torol.py | horverno/sze-academic-python | 3ac8f2c62b827822f529dc600eef91713e82d551 | [
"MIT"
] | null | null | null | gyak/03/duplum-torol.py | horverno/sze-academic-python | 3ac8f2c62b827822f529dc600eef91713e82d551 | [
"MIT"
] | 6 | 2018-07-24T10:08:14.000Z | 2021-09-11T20:40:47.000Z | # irjunk olyan python kodot, amely kitorli egy listabol a duplumokat
a = [10,20,30,20,10,50,60,40,80,50,40]
dup_items = set()
uniq_items = []
for x in a:
if x not in dup_items:
uniq_items.append(x)
dup_items.add(x)
print(dup_items)
| 19.615385 | 68 | 0.662745 | 48 | 255 | 3.395833 | 0.604167 | 0.196319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11 | 0.215686 | 255 | 12 | 69 | 21.25 | 0.705 | 0.258824 | 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 |
7a91c1b9651492ee7c9426b0fcd2c1c972c0dcc4 | 7,034 | py | Python | rudderthralloc/forcealloc.py | kplindegaard/pycs2 | a21a9b9403b84601e889bf253b85b11659ea5896 | [
"BSD-2-Clause"
] | 2 | 2021-04-21T01:53:11.000Z | 2022-03-21T10:05:23.000Z | rudderthralloc/forcealloc.py | kplindegaard/pycs2 | a21a9b9403b84601e889bf253b85b11659ea5896 | [
"BSD-2-Clause"
] | null | null | null | rudderthralloc/forcealloc.py | kplindegaard/pycs2 | a21a9b9403b84601e889bf253b85b11659ea5896 | [
"BSD-2-Clause"
] | 1 | 2020-09-16T03:47:12.000Z | 2020-09-16T03:47:12.000Z | """ forcealloc.py - Map commanded thrust to generalized, cartesian forces """
# BSD 2-Clause License
#
# Copyright (c) 2001-2017, Karl-Petter Lindegaard
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are ... | 33.495238 | 95 | 0.565254 | 996 | 7,034 | 3.980924 | 0.276104 | 0.022951 | 0.011349 | 0.017654 | 0.387894 | 0.371248 | 0.351576 | 0.351576 | 0.351576 | 0.327364 | 0 | 0.066624 | 0.329969 | 7,034 | 209 | 96 | 33.655502 | 0.774666 | 0.486636 | 0 | 0.371134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041237 | false | 0 | 0.030928 | 0 | 0.113402 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a958e3eba071c4fbf127852dcb80e42dd73f774 | 3,982 | py | Python | docly/logic/logic_main.py | autosoft-dev/docly | 0bd6216b8a9735e9fa76bffd4ffea6cec6cc4a01 | [
"MIT"
] | 29 | 2020-12-31T08:27:32.000Z | 2022-02-15T08:48:51.000Z | docly/logic/logic_main.py | autosoft-dev/docly | 0bd6216b8a9735e9fa76bffd4ffea6cec6cc4a01 | [
"MIT"
] | 4 | 2020-12-30T18:18:54.000Z | 2021-08-03T14:42:35.000Z | docly/logic/logic_main.py | autosoft-dev/docly | 0bd6216b8a9735e9fa76bffd4ffea6cec6cc4a01 | [
"MIT"
] | 2 | 2022-01-04T17:58:22.000Z | 2022-02-05T13:04:14.000Z | import os
import sys
from io import open
import numpy as np
import torch
import torch.nn as nn
from .example import make_example, make_new_example
from .input_features import convert_examples_to_features
from torch.utils.data import DataLoader, Dataset, SequentialSampler, TensorDataset
from transformers import (WEIG... | 35.553571 | 112 | 0.659719 | 525 | 3,982 | 4.725714 | 0.270476 | 0.016123 | 0.016929 | 0.03023 | 0.322048 | 0.322048 | 0.295042 | 0.244256 | 0.217654 | 0.143491 | 0 | 0.00703 | 0.249874 | 3,982 | 111 | 113 | 35.873874 | 0.823569 | 0 | 0 | 0.170455 | 0 | 0 | 0.013059 | 0.005776 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.136364 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7a975bde69531b07d4ebbabad0e38aa1e1ed2b20 | 268 | py | Python | app.py | zhoujiahua/TaskTool | ba8e359be0d016f0e14a5ac5671ce926945bf21e | [
"MIT"
] | null | null | null | app.py | zhoujiahua/TaskTool | ba8e359be0d016f0e14a5ac5671ce926945bf21e | [
"MIT"
] | null | null | null | app.py | zhoujiahua/TaskTool | ba8e359be0d016f0e14a5ac5671ce926945bf21e | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
from flask import Flask
from common.BaseClass import Student
app = Flask(__name__)
@app.route('/')
def home_index():
BQ = Student('jerry', 18)
return BQ.get_user_info()
if __name__ == '__main__':
app.run()
| 14.105263 | 36 | 0.645522 | 37 | 268 | 4.27027 | 0.756757 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018349 | 0.186567 | 268 | 18 | 37 | 14.888889 | 0.706422 | 0.145522 | 0 | 0 | 0 | 0 | 0.061674 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 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 |
7aa3477bd6ed541a43bdde0d7bf39d526c22e133 | 646 | py | Python | 01/116.py | shuowangphd/lcpy | 18e11bf7ca77acacadeeef93bf6b7f1667eae2cd | [
"MIT"
] | null | null | null | 01/116.py | shuowangphd/lcpy | 18e11bf7ca77acacadeeef93bf6b7f1667eae2cd | [
"MIT"
] | null | null | null | 01/116.py | shuowangphd/lcpy | 18e11bf7ca77acacadeeef93bf6b7f1667eae2cd | [
"MIT"
] | null | null | null | """
# Definition for a Node.
class Node:
def __init__(self, val: int = 0, left: 'Node' = None, right: 'Node' = None, next: 'Node' = None):
self.val = val
self.left = left
self.right = right
self.next = next
"""
class Solution:
def connect(self, root: 'Optional[Node]') -> 'Option... | 29.363636 | 101 | 0.520124 | 81 | 646 | 4.098765 | 0.320988 | 0.072289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002439 | 0.365325 | 646 | 22 | 102 | 29.363636 | 0.807317 | 0.368421 | 0 | 0 | 0 | 0 | 0.069825 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7aa4fa934c1256120ad178cb78b93a531007672d | 821 | py | Python | data/signals/rel_coords.py | TYSSSY/Apb-gcn | b7c9324d3ef3baafa2fe85d57fc1f81f24e0b1e7 | [
"MIT"
] | null | null | null | data/signals/rel_coords.py | TYSSSY/Apb-gcn | b7c9324d3ef3baafa2fe85d57fc1f81f24e0b1e7 | [
"MIT"
] | 1 | 2020-10-30T02:01:39.000Z | 2020-10-30T02:01:39.000Z | data/signals/rel_coords.py | TYSSSY/Apb-gcn | b7c9324d3ef3baafa2fe85d57fc1f81f24e0b1e7 | [
"MIT"
] | null | null | null | import numpy as np
def get_relative_coordinates(sample,
references=(4, 8, 12, 16)):
# input: C, T, V, M
c, t, v, m = sample.shape
final_sample = np.zeros((4 * c, t, v, m))
valid_frames = (sample != 0).sum(axis=3).sum(axis=2).sum(axis=0) > 0
start = valid_frames.argmax... | 31.576923 | 88 | 0.5676 | 123 | 821 | 3.642276 | 0.382114 | 0.022321 | 0.033482 | 0.044643 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036244 | 0.260658 | 821 | 25 | 89 | 32.84 | 0.701812 | 0.06821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7aa5f484404f8770edc1499119077e82dbc3d9e3 | 4,774 | py | Python | src/preprocess_librosa.py | Un-bias/musicnn-training | c7aa67bd1641592fcf43467c37db01b553dd4e5c | [
"0BSD"
] | 41 | 2019-07-24T07:11:53.000Z | 2022-03-28T13:42:34.000Z | src/preprocess_librosa.py | Un-bias/musicnn-training | c7aa67bd1641592fcf43467c37db01b553dd4e5c | [
"0BSD"
] | 3 | 2020-05-04T13:17:58.000Z | 2020-11-14T14:37:06.000Z | src/preprocess_librosa.py | Un-bias/musicnn-training | c7aa67bd1641592fcf43467c37db01b553dd4e5c | [
"0BSD"
] | 13 | 2019-08-19T15:52:00.000Z | 2021-03-22T02:36:33.000Z | import os
import librosa
from joblib import Parallel, delayed
import json
import config_file
import argparse
import pickle
import numpy as np
from pathlib import Path
DEBUG = False
def compute_audio_repr(audio_file, audio_repr_file):
audio, sr = librosa.load(audio_file, sr=config['resample_sr'])
if config['... | 42.247788 | 139 | 0.651445 | 610 | 4,774 | 4.855738 | 0.288525 | 0.069885 | 0.047265 | 0.067522 | 0.304862 | 0.272113 | 0.243754 | 0.227549 | 0.133018 | 0.053005 | 0 | 0.003512 | 0.22455 | 4,774 | 112 | 140 | 42.625 | 0.796596 | 0.076875 | 0 | 0.0375 | 0 | 0 | 0.205233 | 0.055518 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0375 | false | 0 | 0.1125 | 0 | 0.1625 | 0.0875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7aa67f347816a860d8954caac66621040cc0046d | 532 | py | Python | 45/45.py | cleamoon/ProjectEuler | 8d51ad089e5fa21c709161fc658f8c4b533a3ac3 | [
"MIT"
] | null | null | null | 45/45.py | cleamoon/ProjectEuler | 8d51ad089e5fa21c709161fc658f8c4b533a3ac3 | [
"MIT"
] | null | null | null | 45/45.py | cleamoon/ProjectEuler | 8d51ad089e5fa21c709161fc658f8c4b533a3ac3 | [
"MIT"
] | null | null | null | ltn = []
lpn = []
for i in range(1, 1000000):
t = 143 + i
p = 165 + i
ltn.append(t * (2 * t - 1))
lpn.append(p * (3 * p - 1) // 2)
def bst(n, b = 0, e = len(ltn)):
if b >= e:
if ltn[b] == n:
return True
else:
return False
else:
m = (b + e)//2
... | 18.344828 | 36 | 0.381579 | 84 | 532 | 2.416667 | 0.369048 | 0.059113 | 0.049261 | 0.108374 | 0.147783 | 0.147783 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0.462406 | 532 | 28 | 37 | 19 | 0.632867 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0 | 0 | 0.24 | 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 |
7aa6a0eddaf3a04a78ac717238e95549001e1d08 | 2,508 | py | Python | tests/python/test_workitems.py | mdp/rpaframework | d427a3a4b9ea360780e449ece2674e275060310e | [
"Apache-2.0"
] | null | null | null | tests/python/test_workitems.py | mdp/rpaframework | d427a3a4b9ea360780e449ece2674e275060310e | [
"Apache-2.0"
] | null | null | null | tests/python/test_workitems.py | mdp/rpaframework | d427a3a4b9ea360780e449ece2674e275060310e | [
"Apache-2.0"
] | null | null | null | import copy
import pytest
from RPA.Robocloud.Items import BaseAdapter, Items
VALID_DATABASE = {
("test-ws", "test-item"): {"username": "testguy", "address": "guy@company.com"},
("test-ws", "second-item"): {"username": "another", "address": "dude@company.com"},
}
class MockAdapter(BaseAdapter):
DATABASE ... | 27.56044 | 87 | 0.702153 | 329 | 2,508 | 5.155015 | 0.243161 | 0.063679 | 0.044222 | 0.064858 | 0.367335 | 0.288915 | 0.288915 | 0.267689 | 0.255896 | 0.255896 | 0 | 0 | 0.176236 | 2,508 | 90 | 88 | 27.866667 | 0.82091 | 0.042265 | 0 | 0.241379 | 0 | 0 | 0.130525 | 0 | 0 | 0 | 0 | 0 | 0.189655 | 1 | 0.172414 | false | 0 | 0.051724 | 0.017241 | 0.275862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7aa74729651c5f6bb13c86b7a22664c4c8570ee6 | 7,418 | py | Python | seq2seq/models/conv_seq2seq.py | gyy8426/TF_concaption | 7b3face47c96c885b2715605122328b7b6bef609 | [
"Apache-2.0"
] | 342 | 2017-06-23T12:47:32.000Z | 2021-12-06T06:56:15.000Z | seq2seq/models/conv_seq2seq.py | gyy8426/TF_concaption | 7b3face47c96c885b2715605122328b7b6bef609 | [
"Apache-2.0"
] | 26 | 2017-07-25T01:39:39.000Z | 2020-06-08T09:59:17.000Z | seq2seq/models/conv_seq2seq.py | gyy8426/TF_concaption | 7b3face47c96c885b2715605122328b7b6bef609 | [
"Apache-2.0"
] | 123 | 2017-06-25T16:02:37.000Z | 2020-07-08T08:14:11.000Z | # Copyright 2017 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 or agreed to in writing,... | 40.758242 | 181 | 0.685495 | 929 | 7,418 | 5.241119 | 0.259419 | 0.023413 | 0.025878 | 0.022181 | 0.376463 | 0.272335 | 0.222633 | 0.212364 | 0.151571 | 0.110084 | 0 | 0.01914 | 0.204098 | 7,418 | 181 | 182 | 40.983425 | 0.805556 | 0.209356 | 0 | 0.211382 | 0 | 0 | 0.209427 | 0.122065 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089431 | false | 0 | 0.089431 | 0.01626 | 0.284553 | 0.00813 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7aac8956f007f10c83a2012e4e3af7ab31bb2c4c | 12,374 | py | Python | src/approach/finetuning.py | tunglamlqddb/DFKD | 924220a81d2a08bf07e50d86028e04899248d17b | [
"MIT"
] | null | null | null | src/approach/finetuning.py | tunglamlqddb/DFKD | 924220a81d2a08bf07e50d86028e04899248d17b | [
"MIT"
] | null | null | null | src/approach/finetuning.py | tunglamlqddb/DFKD | 924220a81d2a08bf07e50d86028e04899248d17b | [
"MIT"
] | null | null | null | import torch, warnings
import torch.nn.functional as F
import torch.nn as nn
import numpy as np
from argparse import ArgumentParser
from .incremental_learning import Inc_Learning_Appr
from datasets.exemplars_dataset import ExemplarsDataset
class Appr(Inc_Learning_Appr):
"""Class implementing the finetuning base... | 47.409962 | 223 | 0.601422 | 1,530 | 12,374 | 4.692157 | 0.191503 | 0.032595 | 0.020059 | 0.017551 | 0.333473 | 0.279983 | 0.256025 | 0.218136 | 0.195431 | 0.195431 | 0 | 0.011894 | 0.293357 | 12,374 | 261 | 224 | 47.409962 | 0.809126 | 0.091401 | 0 | 0.217172 | 0 | 0 | 0.033992 | 0.009393 | 0 | 0 | 0 | 0.003831 | 0 | 1 | 0.080808 | false | 0 | 0.035354 | 0.005051 | 0.207071 | 0.005051 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7aacb536ae303f634a3016d2c8edb89930e0c942 | 11,609 | py | Python | SMA/lab_simfleet/simfleet/mystrategy.py | jiwidi/MIARFID | 979eda45fc18a4816ef65d33b1423a6d63176c04 | [
"MIT"
] | null | null | null | SMA/lab_simfleet/simfleet/mystrategy.py | jiwidi/MIARFID | 979eda45fc18a4816ef65d33b1423a6d63176c04 | [
"MIT"
] | null | null | null | SMA/lab_simfleet/simfleet/mystrategy.py | jiwidi/MIARFID | 979eda45fc18a4816ef65d33b1423a6d63176c04 | [
"MIT"
] | null | null | null | import json
import random
from loguru import logger
from simfleet.customer import CustomerStrategyBehaviour
from simfleet.fleetmanager import FleetManagerStrategyBehaviour
from simfleet.helpers import PathRequestException, distance_in_meters
from simfleet.protocol import (
REQUEST_PERFORMATIVE,
ACCEPT_PERFORM... | 41.909747 | 111 | 0.484193 | 917 | 11,609 | 5.970556 | 0.164667 | 0.073973 | 0.049315 | 0.06137 | 0.454247 | 0.384658 | 0.331872 | 0.262283 | 0.191233 | 0.179726 | 0 | 0.001321 | 0.413214 | 11,609 | 276 | 112 | 42.061594 | 0.802408 | 0.073564 | 0 | 0.348214 | 0 | 0 | 0.103131 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.040179 | 0 | 0.066964 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ab152d88bdfe1c7ddd598bc9ed02543b5951c4d | 1,582 | py | Python | Chapter07/cell_counting.py | giulic3/DeepLearningLifeSciences | 20b4b2eeff421d331722637899845e4c9a4a52a6 | [
"MIT"
] | 1 | 2020-04-06T04:17:27.000Z | 2020-04-06T04:17:27.000Z | Chapter07/cell_counting.py | joe-nano/DeepLearningLifeSciences | 258066f904159a7c1c81aba16e74ae4e6b4263b5 | [
"MIT"
] | null | null | null | Chapter07/cell_counting.py | joe-nano/DeepLearningLifeSciences | 258066f904159a7c1c81aba16e74ae4e6b4263b5 | [
"MIT"
] | 1 | 2020-02-16T23:43:16.000Z | 2020-02-16T23:43:16.000Z | import deepchem as dc
import deepchem.models.tensorgraph.layers as layers
import numpy as np
import os
import re
RETRAIN = False
# Load the datasets.
image_dir = 'BBBC005_v1_images'
files = []
labels = []
for f in os.listdir(image_dir):
if f.endswith('.TIF'):
files.append(os.path.join(image_dir, f))
labels.... | 32.285714 | 95 | 0.747155 | 248 | 1,582 | 4.625 | 0.459677 | 0.031386 | 0.012206 | 0.01918 | 0.040105 | 0.040105 | 0 | 0 | 0 | 0 | 0 | 0.031892 | 0.108091 | 1,582 | 48 | 96 | 32.958333 | 0.781006 | 0.054994 | 0 | 0 | 0 | 0 | 0.075788 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.128205 | 0 | 0.128205 | 0.051282 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ab161405dab5a9d19625915f984dc3130fe9f36 | 2,428 | py | Python | fn_playbook_utils/fn_playbook_utils/components/funct_pb_get_playbook_data.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 65 | 2017-12-04T13:58:32.000Z | 2022-03-24T18:33:17.000Z | fn_playbook_utils/fn_playbook_utils/components/funct_pb_get_playbook_data.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 48 | 2018-03-02T19:17:14.000Z | 2022-03-09T22:00:38.000Z | fn_playbook_utils/fn_playbook_utils/components/funct_pb_get_playbook_data.py | nickpartner-goahead/resilient-community-apps | 097c0dbefddbd221b31149d82af9809420498134 | [
"MIT"
] | 95 | 2018-01-11T16:23:39.000Z | 2022-03-21T11:34:29.000Z | # -*- coding: utf-8 -*-
#(c) Copyright IBM Corp. 2010, 2021. All Rights Reserved.
#pragma pylint: disable=unused-argument, no-self-use, line-too-long
"""AppFunction implementation"""
from cachetools import cached, TTLCache
from resilient_circuits import AppFunctionComponent, app_function, FunctionResult
from fn_playbo... | 36.787879 | 99 | 0.66598 | 315 | 2,428 | 4.790476 | 0.35873 | 0.042412 | 0.032472 | 0.039761 | 0.163022 | 0.031809 | 0 | 0 | 0 | 0 | 0 | 0.008104 | 0.237644 | 2,428 | 65 | 100 | 37.353846 | 0.807131 | 0.250412 | 0 | 0 | 0 | 0 | 0.122248 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.088235 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ab7f304cf92455bd030e34fb9b57d32e2f4394e | 1,864 | py | Python | Amazone/Android_Phone_Price.py | anivalogy/Web_Scraping | 9431ee434e9c19adcf45d185065625608755acc4 | [
"Apache-2.0"
] | 1 | 2020-11-10T11:30:07.000Z | 2020-11-10T11:30:07.000Z | Amazone/Android_Phone_Price.py | anivalogy/Web_Scraping | 9431ee434e9c19adcf45d185065625608755acc4 | [
"Apache-2.0"
] | null | null | null | Amazone/Android_Phone_Price.py | anivalogy/Web_Scraping | 9431ee434e9c19adcf45d185065625608755acc4 | [
"Apache-2.0"
] | 1 | 2020-12-24T12:25:40.000Z | 2020-12-24T12:25:40.000Z | import csv
from bs4 import BeautifulSoup
from selenium import webdriver
import csv
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver import Chrome
def get_url(search_item):
template="https://www.amazon.in/s?k={}&crid=1GNY6Q6AHOOKS&sprefix=and%2Caps%2C524&ref=nb_sb_ss_ts-oa... | 24.207792 | 111 | 0.624464 | 235 | 1,864 | 4.859574 | 0.455319 | 0.052539 | 0.022767 | 0.028021 | 0.108581 | 0.108581 | 0.108581 | 0.108581 | 0.108581 | 0.108581 | 0 | 0.012057 | 0.243562 | 1,864 | 76 | 112 | 24.526316 | 0.797872 | 0.045064 | 0 | 0.212766 | 0 | 0.021277 | 0.168362 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.148936 | 0 | 0.276596 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ab8479693143f8c93f4e4b1bf7ece0d1eb036d2 | 658 | py | Python | construct-binary-search-tree-from-preorder-traversal/construct-binary-search-tree-from-preorder-traversal.py | Atri10/Leet-code---Atri_Patel | 49fc59b9147a44ab04a66128fbb2ef259b5f7b7c | [
"MIT"
] | 1 | 2021-10-10T20:21:18.000Z | 2021-10-10T20:21:18.000Z | construct-binary-search-tree-from-preorder-traversal/construct-binary-search-tree-from-preorder-traversal.py | Atri10/Leet-code---Atri_Patel | 49fc59b9147a44ab04a66128fbb2ef259b5f7b7c | [
"MIT"
] | null | null | null | construct-binary-search-tree-from-preorder-traversal/construct-binary-search-tree-from-preorder-traversal.py | Atri10/Leet-code---Atri_Patel | 49fc59b9147a44ab04a66128fbb2ef259b5f7b7c | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def bstFromPreorder(self, preorder: List[int]) -> Optional[TreeNode]:
def subtree(lo, hi):
... | 31.333333 | 73 | 0.550152 | 78 | 658 | 4.576923 | 0.423077 | 0.061625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009324 | 0.348024 | 658 | 21 | 74 | 31.333333 | 0.822844 | 0.051672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ab93f465042b5cca276e73a401edc8f8be4aec0 | 4,113 | py | Python | aimsprop/xyz.py | mtzgroup/aimsprop | 464d88ad7a817da73027fd2ab7b12476bf59f83d | [
"MIT"
] | 1 | 2022-03-28T13:11:56.000Z | 2022-03-28T13:11:56.000Z | aimsprop/xyz.py | mtzgroup/aimsprop | 464d88ad7a817da73027fd2ab7b12476bf59f83d | [
"MIT"
] | 11 | 2021-03-17T17:53:58.000Z | 2021-07-17T17:59:25.000Z | aimsprop/xyz.py | mtzgroup/aimsprop | 464d88ad7a817da73027fd2ab7b12476bf59f83d | [
"MIT"
] | 2 | 2021-04-05T08:36:35.000Z | 2021-05-20T22:12:12.000Z | import os
import re
import numpy as np
from . import atom_data, bundle
# TODO: Maybe should be in atom data
_N_table = {val: key for key, val in list(atom_data.atom_symbol_table.items())}
def parse_xyz(
filename: str,
label=1,
w=1.0,
I=1,
t0=0.0,
dt=20.0,
ts=None,
N_table=None,
) ->... | 30.021898 | 84 | 0.540968 | 548 | 4,113 | 4 | 0.306569 | 0.008212 | 0.00958 | 0.010949 | 0.097172 | 0.076186 | 0.057026 | 0.057026 | 0.05292 | 0 | 0 | 0.022787 | 0.349137 | 4,113 | 136 | 85 | 30.242647 | 0.79604 | 0.302942 | 0 | 0.046512 | 0 | 0 | 0.056139 | 0.013401 | 0 | 0 | 0 | 0.007353 | 0 | 1 | 0.023256 | false | 0 | 0.046512 | 0 | 0.081395 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ab9500cd5c1495d990ceec333363832a2cb723e | 745 | py | Python | src/wafec/fi/hypothesis/models/test_parameter.py | wafec/wafec-fi-hypothesis | e74fea0eb5da39e8f26973fa577dc4515317150c | [
"MIT"
] | null | null | null | src/wafec/fi/hypothesis/models/test_parameter.py | wafec/wafec-fi-hypothesis | e74fea0eb5da39e8f26973fa577dc4515317150c | [
"MIT"
] | null | null | null | src/wafec/fi/hypothesis/models/test_parameter.py | wafec/wafec-fi-hypothesis | e74fea0eb5da39e8f26973fa577dc4515317150c | [
"MIT"
] | null | null | null | from sqlalchemy import *
from sqlalchemy.orm import relationship
from . import Base
class FITestParameter(Base):
__tablename__ = 'test_parameter'
id = Column(Integer, primary_key=True)
test_id = Column(Integer, ForeignKey('test.id'))
test = relationship('FITest')
name = Column(String(255), index... | 35.47619 | 88 | 0.759732 | 83 | 745 | 6.53012 | 0.385542 | 0.167897 | 0.110701 | 0.138376 | 0.193727 | 0.140221 | 0 | 0 | 0 | 0 | 0 | 0.004702 | 0.143624 | 745 | 20 | 89 | 37.25 | 0.844828 | 0 | 0 | 0 | 0 | 0 | 0.162416 | 0.126175 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7abd3d620eef1318489c51e350759a7e9fd53d7a | 1,481 | py | Python | hack/merge_cluster_roles.py | philips/cluster-monitoring-operator | e3d89785ebd70b369e8b9b4a1d8cfe93d3354731 | [
"Apache-2.0"
] | null | null | null | hack/merge_cluster_roles.py | philips/cluster-monitoring-operator | e3d89785ebd70b369e8b9b4a1d8cfe93d3354731 | [
"Apache-2.0"
] | 2 | 2018-08-13T11:46:13.000Z | 2018-08-13T12:47:12.000Z | hack/merge_cluster_roles.py | philips/cluster-monitoring-operator | e3d89785ebd70b369e8b9b4a1d8cfe93d3354731 | [
"Apache-2.0"
] | 2 | 2018-09-09T19:03:40.000Z | 2020-01-08T22:24:43.000Z | #!/usr/bin/python
""" merge_cluster_roles.py - merge OpenShift cluster roles into one """
# Copyright (c) 2018 Red Hat, 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.ap... | 30.854167 | 74 | 0.667792 | 215 | 1,481 | 4.502326 | 0.525581 | 0.061983 | 0.035124 | 0.033058 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009475 | 0.21607 | 1,481 | 47 | 75 | 31.510638 | 0.824289 | 0.427414 | 0 | 0 | 0 | 0 | 0.153382 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.16 | 0 | 0.2 | 0.28 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7abe0503f9560abe292475ee88102fdcd3ba34ab | 7,005 | py | Python | internationalflavor/timezone/data.py | MounirMesselmeni/django-internationalflavor | 30ea407fc9972243ea45f45c1ce09d5d17961730 | [
"BSD-3-Clause"
] | 22 | 2015-02-09T11:01:56.000Z | 2021-07-02T23:34:56.000Z | internationalflavor/timezone/data.py | MounirMesselmeni/django-internationalflavor | 30ea407fc9972243ea45f45c1ce09d5d17961730 | [
"BSD-3-Clause"
] | 19 | 2015-02-09T11:04:09.000Z | 2021-11-26T08:07:44.000Z | internationalflavor/timezone/data.py | MounirMesselmeni/django-internationalflavor | 30ea407fc9972243ea45f45c1ce09d5d17961730 | [
"BSD-3-Clause"
] | 18 | 2015-04-16T08:39:38.000Z | 2021-07-08T08:07:41.000Z | import datetime
from django.core.exceptions import ImproperlyConfigured
from django.utils.encoding import force_text
from django.utils.functional import lazy
from django.utils.translation import gettext_lazy as _, gettext
import itertools
from internationalflavor.timezone._cldr_data import TIMEZONE_NAMES, METAZONE_NAM... | 39.801136 | 118 | 0.698644 | 940 | 7,005 | 5 | 0.218085 | 0.042128 | 0.032553 | 0.029787 | 0.262979 | 0.170213 | 0.105319 | 0.105319 | 0.039574 | 0.02 | 0 | 0.007788 | 0.211849 | 7,005 | 175 | 119 | 40.028571 | 0.843507 | 0.287937 | 0 | 0.12766 | 0 | 0 | 0.057172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074468 | false | 0 | 0.12766 | 0 | 0.308511 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ac2453ef253d20470030f8d8112f23a1f877440 | 1,366 | py | Python | sloth-scratch.py | xer0-1ne/sloth-scratch | 1d81ffe65ff7d72fcc766a6ba025366a3319a838 | [
"MIT"
] | null | null | null | sloth-scratch.py | xer0-1ne/sloth-scratch | 1d81ffe65ff7d72fcc766a6ba025366a3319a838 | [
"MIT"
] | null | null | null | sloth-scratch.py | xer0-1ne/sloth-scratch | 1d81ffe65ff7d72fcc766a6ba025366a3319a838 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import json
from assets.lib.bottle import route, run, static_file, response, request, redirect
#get default routes for files/paths
@route('/<filepath:path>')
def server_static(filepath):
return static_file(filepath, root="./")
#route index as default page
@route('/')
def index():
filena... | 25.296296 | 82 | 0.666911 | 157 | 1,366 | 5.764331 | 0.471338 | 0.053039 | 0.066298 | 0.059669 | 0.201105 | 0.201105 | 0.201105 | 0.201105 | 0.201105 | 0.201105 | 0 | 0.004521 | 0.190337 | 1,366 | 53 | 83 | 25.773585 | 0.813743 | 0.073206 | 0 | 0.216216 | 0 | 0 | 0.164025 | 0.01664 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.054054 | 0.027027 | 0.243243 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f816a322098d1a1e68d37250e949dfedc9e5d44 | 2,569 | py | Python | neighbour/views.py | Eccie-K/neighbour-hood | f874f9468160aa34dee294d685374e4c5e2eec4d | [
"MIT"
] | null | null | null | neighbour/views.py | Eccie-K/neighbour-hood | f874f9468160aa34dee294d685374e4c5e2eec4d | [
"MIT"
] | 4 | 2020-06-05T23:21:40.000Z | 2021-06-10T21:57:32.000Z | neighbour/views.py | Eccie-K/neighbour-hood | f874f9468160aa34dee294d685374e4c5e2eec4d | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib.auth import login, authenticate
from django.contrib.auth.decorators import login_required
from .forms import SignupForm, HoodForm, UserProfileUpdateForm, UserUpdateForm
from .models import *
from django.core.urlresol... | 30.223529 | 79 | 0.657844 | 293 | 2,569 | 5.706485 | 0.259386 | 0.047847 | 0.090909 | 0.037679 | 0.165072 | 0.088517 | 0.044258 | 0 | 0 | 0 | 0 | 0.006051 | 0.228104 | 2,569 | 84 | 80 | 30.583333 | 0.837115 | 0.034644 | 0 | 0.184615 | 0 | 0 | 0.07658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107692 | false | 0 | 0.153846 | 0.015385 | 0.415385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f81ac36d9e586a2803a67107baad029f84be150 | 2,636 | py | Python | isitfit/dotMan.py | autofitcloud/isitf | 6ffc0c67c00140120f5d5ad8dfe11c8f0f7dacc1 | [
"Apache-2.0"
] | 82 | 2019-09-04T17:39:10.000Z | 2021-08-10T14:59:18.000Z | isitfit/dotMan.py | autofitcloud/isitf | 6ffc0c67c00140120f5d5ad8dfe11c8f0f7dacc1 | [
"Apache-2.0"
] | 11 | 2019-09-10T03:54:19.000Z | 2020-02-21T22:58:44.000Z | isitfit/dotMan.py | autofitcloud/isitf | 6ffc0c67c00140120f5d5ad8dfe11c8f0f7dacc1 | [
"Apache-2.0"
] | 9 | 2019-09-13T15:57:42.000Z | 2021-02-13T15:56:40.000Z | import os
class DotMan:
def get_dotisitfit(self):
# get home
import pathlib
p1_home = str(pathlib.Path.home())
# check dot folder
p2_dot = os.path.join(p1_home, ".isitfit")
if not os.path.exists(p2_dot):
pathlib.Path(p2_dot).mkdir(exist_ok=True)
return p2_dot
def get_myuid(sel... | 24.407407 | 74 | 0.646434 | 400 | 2,636 | 4.1425 | 0.34 | 0.042245 | 0.02414 | 0.019916 | 0.045263 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008193 | 0.259105 | 2,636 | 107 | 75 | 24.635514 | 0.840246 | 0.270106 | 0 | 0.079365 | 0 | 0 | 0.05235 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0.015873 | 0.111111 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f865163bfbe4b0bc8d900996f2290d3bae441c0 | 437 | py | Python | workflows/base/interaction_views.py | xflows/clowdflows | 697b36ebc976d1ba4ab726bda2fc4593422af080 | [
"MIT"
] | 38 | 2015-11-21T08:16:14.000Z | 2021-06-22T16:14:12.000Z | workflows/base/interaction_views.py | chimeng089/clowdflows | e19bf57906e893d8f0be93329168b76eae758384 | [
"MIT"
] | 21 | 2017-04-05T08:03:54.000Z | 2022-03-11T23:16:03.000Z | workflows/base/interaction_views.py | chimeng089/clowdflows | e19bf57906e893d8f0be93329168b76eae758384 | [
"MIT"
] | 26 | 2016-01-11T17:51:07.000Z | 2022-02-24T11:49:40.000Z | import json
from django.shortcuts import render
def base_js_snippet(request, input_dict, output_dict, widget):
try:
inputs = json.dumps(input_dict['in'])
except:
raise Exception("Problem serializing the inputs. Only JSON-serializable objects can be used.")
return render(request, 'interacti... | 36.416667 | 102 | 0.695652 | 54 | 437 | 5.481481 | 0.62963 | 0.091216 | 0.087838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19222 | 437 | 11 | 103 | 39.727273 | 0.838527 | 0 | 0 | 0 | 0 | 0 | 0.311213 | 0.075515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 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 |
8f8686c5c30243fe1085ef5f1ba45de06bb5c4cd | 928 | py | Python | jira_devops/release_notes/settings.py | clutcher/jira_devops | 61360f3fa9bd9b402d752dde84b3cf486245879e | [
"MIT"
] | null | null | null | jira_devops/release_notes/settings.py | clutcher/jira_devops | 61360f3fa9bd9b402d752dde84b3cf486245879e | [
"MIT"
] | null | null | null | jira_devops/release_notes/settings.py | clutcher/jira_devops | 61360f3fa9bd9b402d752dde84b3cf486245879e | [
"MIT"
] | null | null | null | import os
from django.apps import AppConfig
class ReleaseNotesAppConfig(AppConfig):
name = 'jira_devops.release_notes'
verbose_name = 'Release Notes'
DEFAULT_JIRA_RELEASE_FIELD_MAP = {
"hac_update": "customfield_13359",
"need_impex": "customfield_13360",
"need_manual": "customfie... | 29.935484 | 119 | 0.690733 | 103 | 928 | 5.84466 | 0.533981 | 0.054817 | 0.079734 | 0.094684 | 0.086379 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034341 | 0.215517 | 928 | 30 | 120 | 30.933333 | 0.792582 | 0 | 0 | 0 | 0 | 0 | 0.284483 | 0.050647 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f88225e95ec2579d2321422fdd57413d254306d | 3,581 | py | Python | azad/exp/alternatives/optuna_dqn2.py | CoAxLab/azad | d1498069dd8856e93ae077b34dd7c9f1c7ce80e6 | [
"MIT"
] | 6 | 2018-09-11T21:06:12.000Z | 2022-01-28T17:36:52.000Z | azad/exp/alternatives/optuna_dqn2.py | CoAxLab/azad | d1498069dd8856e93ae077b34dd7c9f1c7ce80e6 | [
"MIT"
] | null | null | null | azad/exp/alternatives/optuna_dqn2.py | CoAxLab/azad | d1498069dd8856e93ae077b34dd7c9f1c7ce80e6 | [
"MIT"
] | 2 | 2018-09-12T00:40:52.000Z | 2018-10-29T15:45:54.000Z | """Tune the dqn2 model of wythoff's using the opotune lib"""
import optuna
import fire
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data
from torchvision import datasets
from torchvision import transforms
from azad.exp.alternatives import wythoff_dq... | 29.113821 | 75 | 0.543144 | 411 | 3,581 | 4.579075 | 0.364964 | 0.035069 | 0.022317 | 0.023379 | 0.031881 | 0.031881 | 0 | 0 | 0 | 0 | 0 | 0.020282 | 0.366657 | 3,581 | 122 | 76 | 29.352459 | 0.809524 | 0.088523 | 0 | 0 | 0 | 0 | 0.061149 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.122222 | 0.011111 | 0.233333 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f90f912716a6632b2bcc2ac457c7c623545be22 | 869 | py | Python | gsplines/services/gsplinesjson.py | rafaelrojasmiliani/gsplines | 663b10f6d53b498a1e892d9eb32a345153de36d2 | [
"MIT"
] | 3 | 2021-08-28T01:42:40.000Z | 2021-12-02T22:39:45.000Z | gsplines/services/gsplinesjson.py | rafaelrojasmiliani/gsplines | 663b10f6d53b498a1e892d9eb32a345153de36d2 | [
"MIT"
] | null | null | null | gsplines/services/gsplinesjson.py | rafaelrojasmiliani/gsplines | 663b10f6d53b498a1e892d9eb32a345153de36d2 | [
"MIT"
] | null | null | null | from ..piecewisefunction.piecewisefunction import cPiecewiseFunction
import json
import numpy as np
import gsplines.basis
def piecewise2json(_pw):
basis_name = _pw.basis_.__class__.__name__
if hasattr(_pw.basis_, 'params_'):
basis_params = _pw.basis_.params_
else:
basis_params = None
... | 22.868421 | 68 | 0.665132 | 109 | 869 | 4.963303 | 0.385321 | 0.101664 | 0.048059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011852 | 0.223245 | 869 | 37 | 69 | 23.486486 | 0.78963 | 0 | 0 | 0.076923 | 0 | 0 | 0.008055 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f926ec70f17a27fd3a3870a6289f1a7f3c638c1 | 3,085 | py | Python | ovos_utils/waiting_for_mycroft/settings_gui_generator.py | forslund/ovos_utils | bfca2d9175b72b0d157385af07627aefcd280177 | [
"Apache-2.0"
] | 3 | 2021-11-10T11:46:05.000Z | 2022-03-06T01:59:51.000Z | ovos_utils/waiting_for_mycroft/settings_gui_generator.py | forslund/ovos_utils | bfca2d9175b72b0d157385af07627aefcd280177 | [
"Apache-2.0"
] | 5 | 2021-08-10T17:26:49.000Z | 2022-03-03T14:43:55.000Z | ovos_utils/waiting_for_mycroft/settings_gui_generator.py | forslund/ovos_utils | bfca2d9175b72b0d157385af07627aefcd280177 | [
"Apache-2.0"
] | 1 | 2021-11-19T09:31:07.000Z | 2021-11-19T09:31:07.000Z | # Copyright 2020 Mycroft AI Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 33.901099 | 75 | 0.60778 | 351 | 3,085 | 5.162393 | 0.339031 | 0.07947 | 0.07947 | 0.01766 | 0.449227 | 0.449227 | 0.449227 | 0.449227 | 0.397351 | 0.353201 | 0 | 0.00373 | 0.3047 | 3,085 | 91 | 76 | 33.901099 | 0.841026 | 0.316045 | 0 | 0.590909 | 0 | 0 | 0.050226 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.068182 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f949563ac0e205ebc380e370afe4937e75dab84 | 2,690 | py | Python | blender/.blender/scripts/textplugin_templates.py | visnz/sketchfab_download | 976f667d5c2c2864b2bad65aceac0dab5ce51b74 | [
"Apache-2.0"
] | 41 | 2021-02-18T05:56:26.000Z | 2021-12-06T07:58:15.000Z | blender/.blender/scripts/textplugin_templates.py | visnz/sketchfab_download | 976f667d5c2c2864b2bad65aceac0dab5ce51b74 | [
"Apache-2.0"
] | 19 | 2021-02-18T05:59:03.000Z | 2022-01-13T01:00:52.000Z | blender/.blender/scripts/textplugin_templates.py | visnz/sketchfab_download | 976f667d5c2c2864b2bad65aceac0dab5ce51b74 | [
"Apache-2.0"
] | 18 | 2021-02-22T13:32:56.000Z | 2022-01-22T12:38:29.000Z | #!BPY
"""
Name: 'Template Completion | Tab'
Blender: 246
Group: 'TextPlugin'
Shortcut: 'Tab'
Tooltip: 'Completes templates based on the text preceding the cursor'
"""
# Only run if we have the required modules
try:
import bpy
from BPyTextPlugin import *
from Blender import Text
except ImportError:
OK = False
else:... | 21.693548 | 69 | 0.568773 | 427 | 2,690 | 3.531616 | 0.30445 | 0.019894 | 0.007958 | 0.01061 | 0.155172 | 0.155172 | 0.155172 | 0.140584 | 0.140584 | 0.140584 | 0 | 0.02891 | 0.215613 | 2,690 | 123 | 70 | 21.869919 | 0.685782 | 0.141264 | 0 | 0.265306 | 0 | 0 | 0.194166 | 0.032651 | 0 | 0 | 0.002612 | 0 | 0 | 1 | 0.010204 | false | 0 | 0.040816 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f94b300e2b34ff76f0d2873be32657ff67630be | 1,939 | py | Python | kive/file_access_utils.py | cfe-lab/Kive | e46b9eb40f085d579c12f47b6b5696d5ee93a9d3 | [
"BSD-3-Clause"
] | 2 | 2016-10-02T18:24:53.000Z | 2019-01-19T09:37:56.000Z | kive/file_access_utils.py | cfe-lab/Kive | e46b9eb40f085d579c12f47b6b5696d5ee93a9d3 | [
"BSD-3-Clause"
] | 1,190 | 2015-07-10T22:57:23.000Z | 2022-03-30T05:10:14.000Z | kive/file_access_utils.py | cfe-lab/Kive | e46b9eb40f085d579c12f47b6b5696d5ee93a9d3 | [
"BSD-3-Clause"
] | 2 | 2019-07-16T00:25:25.000Z | 2019-11-25T16:32:58.000Z | """
Basic file-checking functionality used by Kive.
"""
import hashlib
import mimetypes
import os
from contextlib import contextmanager
from django.http import FileResponse
def build_download_response(field_file):
# Intentionally leave this open for streaming response.
# FileResponse will close it when stre... | 30.777778 | 78 | 0.700877 | 268 | 1,939 | 4.951493 | 0.488806 | 0.094951 | 0.03165 | 0.027129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009253 | 0.219701 | 1,939 | 62 | 79 | 31.274194 | 0.867812 | 0.410005 | 0 | 0 | 0 | 0 | 0.057728 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.15625 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f958f12563b74a6555a910c0edcd3c3aff2c51a | 16,170 | py | Python | gem/quaternion.py | AlexMarinescu/pyGameMath | 5257291431bb45db0274dc48edf24694ecfe2e2d | [
"BSD-2-Clause-FreeBSD"
] | 8 | 2020-04-15T22:30:52.000Z | 2022-01-18T01:05:45.000Z | gem/quaternion.py | SmithSamuelM/gem | d05dfa50739aa0b3dcd5e9cd2eb7d147fb4c0d63 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | gem/quaternion.py | SmithSamuelM/gem | d05dfa50739aa0b3dcd5e9cd2eb7d147fb4c0d63 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2021-11-12T00:41:21.000Z | 2021-11-12T00:41:21.000Z | import math
import six.moves as sm
from gem import vector
from gem import matrix
def quat_identity():
''' Returns the quaternion identity. '''
return [1.0, 0.0, 0.0, 0.0]
def quat_add(quat, quat1):
''' Add two quaternions. '''
return [quat[0] + quat1[0], quat[1] + quat1[1], quat[2] + quat1[2], quat[3]... | 32.865854 | 123 | 0.60402 | 2,229 | 16,170 | 4.309107 | 0.08838 | 0.011036 | 0.008121 | 0.006663 | 0.570953 | 0.450703 | 0.389485 | 0.356065 | 0.300156 | 0.232795 | 0 | 0.052518 | 0.254607 | 16,170 | 491 | 124 | 32.93279 | 0.744379 | 0.095857 | 0 | 0.300836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.169916 | false | 0 | 0.011142 | 0.019499 | 0.401114 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f980b7c105970772ce222d03d8f0a75f6d84be2 | 9,141 | py | Python | entity.py | TheNicGard/DungeonStar | 525aeb53217166d2ce83e4e91a3b8c1b102f0dcb | [
"MIT"
] | 3 | 2019-07-11T17:54:42.000Z | 2021-03-09T10:58:13.000Z | entity.py | BandW2011/DungeonStar | 525aeb53217166d2ce83e4e91a3b8c1b102f0dcb | [
"MIT"
] | 1 | 2019-07-11T17:55:38.000Z | 2020-05-03T06:34:56.000Z | entity.py | TheNicGard/DungeonStar | 525aeb53217166d2ce83e4e91a3b8c1b102f0dcb | [
"MIT"
] | null | null | null | import tcod as libtcod
import math
from components.item import Item
from render_functions import RenderOrder
class Entity:
def __init__(self, id, x, y, char, color, name, weight=0, blocks=False,
render_order = RenderOrder.CORPSE, fighter=None, ai=None,
item=None, inventory=None, s... | 37.310204 | 122 | 0.597528 | 1,260 | 9,141 | 4.244444 | 0.16746 | 0.020194 | 0.029918 | 0.036462 | 0.544316 | 0.544316 | 0.514959 | 0.499439 | 0.48074 | 0.47457 | 0 | 0.007801 | 0.326879 | 9,141 | 244 | 123 | 37.463115 | 0.861368 | 0.233672 | 0 | 0.32716 | 0 | 0 | 0.009897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080247 | false | 0 | 0.024691 | 0.012346 | 0.203704 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f99c35a950490ba3164b9cd0128d650d0ec5cf9 | 5,459 | py | Python | qasrl/models/question.py | gililior/qasrl-modeling | 2f9684536f6d5f0283b0e4b90a911ea12fa72f72 | [
"MIT"
] | 1 | 2021-07-18T18:55:54.000Z | 2021-07-18T18:55:54.000Z | qasrl/models/question.py | gililior/qasrl-modeling | 2f9684536f6d5f0283b0e4b90a911ea12fa72f72 | [
"MIT"
] | 2 | 2021-09-13T15:52:39.000Z | 2021-10-06T21:58:06.000Z | qasrl/models/question.py | gililior/qasrl-modeling | 2f9684536f6d5f0283b0e4b90a911ea12fa72f72 | [
"MIT"
] | 1 | 2021-09-19T13:46:49.000Z | 2021-09-19T13:46:49.000Z | from typing import Dict, List, TextIO, Optional, Set, Tuple
from overrides import overrides
import torch
from torch.nn.modules import Linear, Dropout
from torch.autograd import Variable
import torch.nn.functional as F
from allennlp.common import Params
from allennlp.common.checks import ConfigurationError
from allenn... | 50.546296 | 122 | 0.709104 | 669 | 5,459 | 5.428999 | 0.230194 | 0.055066 | 0.053965 | 0.036344 | 0.377478 | 0.294328 | 0.236509 | 0.199615 | 0.19163 | 0.19163 | 0 | 0.001643 | 0.219454 | 5,459 | 107 | 123 | 51.018692 | 0.850739 | 0.077304 | 0 | 0.151163 | 0 | 0 | 0.049334 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081395 | false | 0 | 0.232558 | 0.023256 | 0.395349 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f9c7d739dfd9df8261ba3fb8f8da2e2029bd3f2 | 7,059 | py | Python | libkloudtrader/algorithm.py | KloudTrader/libkloudtrader | 015e2779f80ba2de93be9fa6fd751412a9d5f492 | [
"Apache-2.0"
] | 11 | 2019-01-16T16:10:09.000Z | 2021-03-02T00:59:17.000Z | libkloudtrader/algorithm.py | KloudTrader/kloudtrader | 015e2779f80ba2de93be9fa6fd751412a9d5f492 | [
"Apache-2.0"
] | 425 | 2019-07-10T06:59:49.000Z | 2021-01-12T05:32:14.000Z | libkloudtrader/algorithm.py | KloudTrader/kloudtrader | 015e2779f80ba2de93be9fa6fd751412a9d5f492 | [
"Apache-2.0"
] | 6 | 2019-03-15T16:25:06.000Z | 2021-05-03T10:02:13.000Z | from typing import Any, List
import random
import time
import datetime
import numpy as np
import pandas as pd
import libkloudtrader.stocks as stocks
from libkloudtrader.exceptions import InvalidAlgorithmMode, EmptySymbolBucket, InvalidDataFeedType
from libkloudtrader.enumerables import Data_Types
import libkloudtrader.... | 40.803468 | 145 | 0.563536 | 732 | 7,059 | 5.239071 | 0.271858 | 0.03442 | 0.032855 | 0.017731 | 0.257888 | 0.226336 | 0.167927 | 0.147588 | 0.131421 | 0.131421 | 0 | 0.009994 | 0.333758 | 7,059 | 172 | 146 | 41.040698 | 0.803104 | 0.099873 | 0 | 0.22549 | 0 | 0 | 0.11556 | 0.014315 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.147059 | 0 | 0.166667 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8f9d7cb9d8688441fb1f44b0f15087c179e57505 | 34,164 | py | Python | src/wavecalLib.py | rterrien/HPFSpec2 | e7cefc37184926ae65a4626a0fe3299cc6b3deb3 | [
"MIT"
] | null | null | null | src/wavecalLib.py | rterrien/HPFSpec2 | e7cefc37184926ae65a4626a0fe3299cc6b3deb3 | [
"MIT"
] | null | null | null | src/wavecalLib.py | rterrien/HPFSpec2 | e7cefc37184926ae65a4626a0fe3299cc6b3deb3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function, division, unicode_literals
import numpy as np
import copy
import scipy.optimize
from skimage import filters
from skimage import morphology
from scipy import interpolate
from astropy.stats import biweight_location, mad_std
from collections import OrderedDict... | 33.363281 | 140 | 0.61837 | 4,502 | 34,164 | 4.566193 | 0.153487 | 0.016199 | 0.021112 | 0.01868 | 0.367223 | 0.327674 | 0.297174 | 0.276937 | 0.272316 | 0.261176 | 0 | 0.011877 | 0.287759 | 34,164 | 1,023 | 141 | 33.395894 | 0.832943 | 0.42776 | 0 | 0.367946 | 0 | 0 | 0.05662 | 0 | 0 | 0 | 0 | 0 | 0.011287 | 1 | 0.054176 | false | 0 | 0.031603 | 0 | 0.106095 | 0.011287 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fa0f8b72083d7c88830c1eaf19a165da04a03d6 | 4,215 | py | Python | src/update_repositories_md.py | computer-science-engineering/readme | 0025ec188fa65f0fbd80f5f0a379ab3eb44bafc8 | [
"MIT"
] | null | null | null | src/update_repositories_md.py | computer-science-engineering/readme | 0025ec188fa65f0fbd80f5f0a379ab3eb44bafc8 | [
"MIT"
] | 8 | 2021-01-04T10:38:37.000Z | 2021-04-24T06:32:12.000Z | src/update_repositories_md.py | computer-science-engineering/readme | 0025ec188fa65f0fbd80f5f0a379ab3eb44bafc8 | [
"MIT"
] | null | null | null | import json
import os
from itertools import chain, groupby
from operator import itemgetter, sub
from urllib.parse import urlparse
import git
import numpy as np
import validators
from mdutils.mdutils import MdUtils
LCS_REPO_NAME = 'learning-computer-science'
def walk_max_depth(top, maxdepth):
dirs, nondirs = [],... | 32.423077 | 83 | 0.612337 | 545 | 4,215 | 4.504587 | 0.231193 | 0.034216 | 0.021996 | 0.021181 | 0.154379 | 0.099389 | 0.052953 | 0.030957 | 0.030957 | 0.030957 | 0 | 0.004881 | 0.270937 | 4,215 | 129 | 84 | 32.674419 | 0.794012 | 0.018268 | 0 | 0.096154 | 0 | 0 | 0.074873 | 0.006058 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086538 | false | 0 | 0.086538 | 0 | 0.211538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fa273b6250c57b641ea8334821621b4a5dcb2d9 | 625 | py | Python | intercepts.py | XDCoder3289/x_y_intercepts_coordinate-plane | f332829f0f8055c2a05b7cbf9564105b81e96407 | [
"MIT"
] | null | null | null | intercepts.py | XDCoder3289/x_y_intercepts_coordinate-plane | f332829f0f8055c2a05b7cbf9564105b81e96407 | [
"MIT"
] | null | null | null | intercepts.py | XDCoder3289/x_y_intercepts_coordinate-plane | f332829f0f8055c2a05b7cbf9564105b81e96407 | [
"MIT"
] | null | null | null | # Calculator for calculating x and y intercepts
xaxis = int(input("Enter the x axis(excluding the variable): "))
yaxis = int(input("Enter the y axis(excluding the variable): "))
equality = int(input("What is the equation equal to: "))
# example 3x + 4y = 6
# x - intercept can be found out by supposing y = 0
# ... | 27.173913 | 66 | 0.6256 | 87 | 625 | 4.448276 | 0.494253 | 0.103359 | 0.067183 | 0.082687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019272 | 0.2528 | 625 | 23 | 67 | 27.173913 | 0.809422 | 0.2176 | 0 | 0 | 0 | 0 | 0.310195 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0 | 0 | 0.153846 | 0.307692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fa45edbf6a77ed236667d3c6563904200b0867d | 1,950 | py | Python | cimbar/util/symhash.py | sz3/cimbar | 6d41d8b7bf42a646e6afec5772525fc6296c4c5a | [
"MIT"
] | 25 | 2020-08-21T01:19:34.000Z | 2022-03-26T12:58:31.000Z | cimbar/util/symhash.py | sz3/cimbar | 6d41d8b7bf42a646e6afec5772525fc6296c4c5a | [
"MIT"
] | null | null | null | cimbar/util/symhash.py | sz3/cimbar | 6d41d8b7bf42a646e6afec5772525fc6296c4c5a | [
"MIT"
] | 4 | 2021-01-04T08:54:32.000Z | 2022-03-26T13:00:20.000Z | import imagehash
def matrix_slice(l, dim, start, end):
# start and end are tuples
startX, startY = start
endX, endY = end
res = []
print(f'len l is {len(l)}')
for y in range(startY, endY):
for x in range(startX, endX):
i = x + (y*dim)
print(f'{x}, {y} ({i}) = {l... | 29.545455 | 81 | 0.533846 | 262 | 1,950 | 3.847328 | 0.236641 | 0.098214 | 0.019841 | 0.041667 | 0.198413 | 0.081349 | 0.061508 | 0 | 0 | 0 | 0 | 0.02784 | 0.318462 | 1,950 | 65 | 82 | 30 | 0.730625 | 0.045128 | 0 | 0.08 | 0 | 0 | 0.02154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.14 | false | 0 | 0.02 | 0.04 | 0.3 | 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 |
8fa806eec0f9962a1d72ce6896e50f6d4b6fa870 | 3,417 | py | Python | leaf/doc_events/salary_slip.py | leaftechnology/leaf | 7f1ce0628a19605615a93c2673f08bdc91ca2c0d | [
"MIT"
] | null | null | null | leaf/doc_events/salary_slip.py | leaftechnology/leaf | 7f1ce0628a19605615a93c2673f08bdc91ca2c0d | [
"MIT"
] | null | null | null | leaf/doc_events/salary_slip.py | leaftechnology/leaf | 7f1ce0628a19605615a93c2673f08bdc91ca2c0d | [
"MIT"
] | 1 | 2020-06-11T21:44:59.000Z | 2020-06-11T21:44:59.000Z | import frappe
from datetime import *
@frappe.whitelist()
def add_leave_encashment(doc, method):
from_date = (datetime.strptime(doc.start_date, "%Y-%m-%d")).date()
to_date = (datetime.strptime(doc.end_date, "%Y-%m-%d")).date()
salary_structure = frappe.db.sql(""" SELECT * FROM `tabSalary Structure Assignme... | 48.126761 | 180 | 0.648815 | 450 | 3,417 | 4.728889 | 0.22 | 0.084586 | 0.036184 | 0.031955 | 0.388628 | 0.286654 | 0.24906 | 0.24906 | 0.214286 | 0.214286 | 0 | 0.019181 | 0.206614 | 3,417 | 70 | 181 | 48.814286 | 0.765769 | 0.002049 | 0 | 0.172414 | 0 | 0.034483 | 0.215312 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12069 | false | 0 | 0.034483 | 0.017241 | 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 |
8fa83efc91ad5f26caada18999efa7a20f73758a | 1,427 | py | Python | setup.py | openeuler-mirror/A-Tune-Collector | ce1d990034eb3fbdcc8e0101be955a7370bdc6c8 | [
"MulanPSL-1.0"
] | null | null | null | setup.py | openeuler-mirror/A-Tune-Collector | ce1d990034eb3fbdcc8e0101be955a7370bdc6c8 | [
"MulanPSL-1.0"
] | null | null | null | setup.py | openeuler-mirror/A-Tune-Collector | ce1d990034eb3fbdcc8e0101be955a7370bdc6c8 | [
"MulanPSL-1.0"
] | null | null | null | import os
import shutil
from setuptools import setup, find_packages
from setuptools.command.install import install
from setuptools.command.test import test
version = '0.1'
class InstallScripts(install):
"""
install scripts
"""
def run(self):
install.run(self)
class TestCommand(test):
... | 26.924528 | 111 | 0.602663 | 159 | 1,427 | 5.251572 | 0.490566 | 0.083832 | 0.050299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009625 | 0.271899 | 1,427 | 52 | 112 | 27.442308 | 0.794033 | 0.01822 | 0 | 0 | 0 | 0 | 0.215328 | 0.082482 | 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 |
8fa88115d46b2c412775b4cba4b87b0497c0dd29 | 3,002 | py | Python | projects/CharGrid/inference.py | timctho/detectron2-chargrid | 547479c88ad7d1de2348377706167a84d024a622 | [
"Apache-2.0"
] | 3 | 2020-03-15T18:33:21.000Z | 2020-03-28T18:06:45.000Z | projects/CharGrid/inference.py | timctho/detectron2-chargrid | 547479c88ad7d1de2348377706167a84d024a622 | [
"Apache-2.0"
] | 2 | 2021-09-08T01:46:39.000Z | 2022-01-13T02:22:56.000Z | projects/CharGrid/inference.py | timctho/detectron2-chargrid | 547479c88ad7d1de2348377706167a84d024a622 | [
"Apache-2.0"
] | null | null | null | import os
import random
import cv2
import detectron2.utils.comm as comm
from detectron2 import model_zoo
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.data import build_detection_test_loader, build_detection_train_loader, get_detection_dataset_dicts, \
... | 33.730337 | 117 | 0.675883 | 368 | 3,002 | 5.309783 | 0.383152 | 0.078813 | 0.027636 | 0.024565 | 0.178096 | 0.134084 | 0.102354 | 0.102354 | 0.053224 | 0.053224 | 0 | 0.012356 | 0.218188 | 3,002 | 88 | 118 | 34.113636 | 0.820196 | 0.012991 | 0 | 0.077922 | 0 | 0 | 0.038838 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038961 | false | 0 | 0.233766 | 0 | 0.298701 | 0.012987 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fab5fa61656c5e5cabced79af44120fbf3f0dc1 | 7,953 | py | Python | romshake/core/numerical_rom_builder.py | jrekoske/reduced-order-shaking | cd01ef9d6a313a06d2083d7dcb1cc59cb767cc47 | [
"MIT"
] | null | null | null | romshake/core/numerical_rom_builder.py | jrekoske/reduced-order-shaking | cd01ef9d6a313a06d2083d7dcb1cc59cb767cc47 | [
"MIT"
] | null | null | null | romshake/core/numerical_rom_builder.py | jrekoske/reduced-order-shaking | cd01ef9d6a313a06d2083d7dcb1cc59cb767cc47 | [
"MIT"
] | null | null | null | import os
import pickle
import logging
import numpy as np
import pandas as pd
from scipy.stats import qmc
from romshake.sample import voronoi
from romshake.core.reduced_order_model import ReducedOrderModel
FNAME = 'rom_builder.pkl'
class NumericalRomBuilder():
def __init__(self, folder, simulator, n_seeds_initi... | 40.576531 | 78 | 0.608324 | 994 | 7,953 | 4.693159 | 0.246479 | 0.019293 | 0.018006 | 0.013934 | 0.173633 | 0.101393 | 0.052519 | 0.0388 | 0.032583 | 0.017578 | 0 | 0.002179 | 0.307557 | 7,953 | 195 | 79 | 40.784615 | 0.844925 | 0.28178 | 0 | 0.070175 | 0 | 0 | 0.061636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04386 | false | 0 | 0.070175 | 0 | 0.149123 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fac5dd366786148f026b7a575637e3933c748e7 | 37,610 | py | Python | misc/model.py | TheShadow29/grounded-video-description | eae96ba8db084e9cec6aac5cb920112f761f3ac5 | [
"BSD-3-Clause"
] | 1 | 2021-04-19T12:05:34.000Z | 2021-04-19T12:05:34.000Z | misc/model.py | TheShadow29/grounded-video-description | eae96ba8db084e9cec6aac5cb920112f761f3ac5 | [
"BSD-3-Clause"
] | null | null | null | misc/model.py | TheShadow29/grounded-video-description | eae96ba8db084e9cec6aac5cb920112f761f3ac5 | [
"BSD-3-Clause"
] | 1 | 2021-07-12T07:16:18.000Z | 2021-07-12T07:16:18.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torc... | 50.619112 | 168 | 0.602632 | 5,275 | 37,610 | 3.992038 | 0.078863 | 0.038465 | 0.015956 | 0.014959 | 0.639757 | 0.574366 | 0.527021 | 0.469085 | 0.430715 | 0.413335 | 0 | 0.021157 | 0.282398 | 37,610 | 742 | 169 | 50.687332 | 0.759087 | 0.086546 | 0 | 0.399287 | 0 | 0 | 0.018507 | 0.004087 | 0 | 0 | 0 | 0 | 0.016043 | 1 | 0.012478 | false | 0 | 0.030303 | 0 | 0.065954 | 0.00713 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fac820506cfa2b173f4a71f0937824ec8098018 | 5,371 | py | Python | apps/front/urls.py | 1786016767jjk/pj | 17de9e2ab2bac842abf7ad4605c00dcb1a7d079f | [
"Apache-2.0"
] | null | null | null | apps/front/urls.py | 1786016767jjk/pj | 17de9e2ab2bac842abf7ad4605c00dcb1a7d079f | [
"Apache-2.0"
] | null | null | null | apps/front/urls.py | 1786016767jjk/pj | 17de9e2ab2bac842abf7ad4605c00dcb1a7d079f | [
"Apache-2.0"
] | null | null | null | # 前台
from flask.views import MethodView
from apps.front.forms import SendSmsCodeForm,SignupFrom,FindpwdFrom,SendCodeForm,AddPostForm,SigninFrom
from flask import Blueprint,make_response
from flask import render_template,session
from flask import views,request,jsonify
import string,random
from apps.common.baseResp imp... | 31.046243 | 183 | 0.62614 | 620 | 5,371 | 5.341935 | 0.346774 | 0.043176 | 0.052838 | 0.037742 | 0.176027 | 0.156099 | 0.10628 | 0.10628 | 0.035024 | 0.035024 | 0 | 0.015885 | 0.24986 | 5,371 | 173 | 184 | 31.046243 | 0.806155 | 0.101098 | 0 | 0.259843 | 0 | 0 | 0.062905 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094488 | false | 0.015748 | 0.141732 | 0.015748 | 0.433071 | 0.031496 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fac9ed6a463a4b70203af101a3a252ddbc496f4 | 1,911 | py | Python | logger.py | thatsIch/sublime-rainmeter | 89d67adfd0ef196360785aa2aedecb693f71e965 | [
"MIT"
] | 56 | 2015-11-16T06:45:51.000Z | 2021-12-31T10:06:55.000Z | logger.py | thatsIch/sublime-rainmeter | 89d67adfd0ef196360785aa2aedecb693f71e965 | [
"MIT"
] | 82 | 2016-11-06T01:18:50.000Z | 2021-12-15T04:37:50.000Z | logger.py | thatsIch/sublime-rainmeter | 89d67adfd0ef196360785aa2aedecb693f71e965 | [
"MIT"
] | 8 | 2015-11-26T19:28:49.000Z | 2021-03-08T22:39:26.000Z | """This module provides general methods for logging puprposes.
Basic operations are:
* info
* error
with these operations it is easier to track from where the information is printed
"""
import os
import inspect
from datetime import datetime
import sublime
__LOG = None
'''
Called automatically from ST3 if plugin... | 22.482353 | 99 | 0.682365 | 238 | 1,911 | 5.281513 | 0.470588 | 0.038186 | 0.050915 | 0.055688 | 0.23389 | 0.23389 | 0.186158 | 0.186158 | 0.186158 | 0.186158 | 0 | 0.007299 | 0.211408 | 1,911 | 84 | 100 | 22.75 | 0.826808 | 0.207745 | 0 | 0.277778 | 0 | 0 | 0.076692 | 0.037594 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138889 | false | 0 | 0.111111 | 0 | 0.277778 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fb18dd9019ef56c95d458fb46ca62af50467f38 | 4,655 | py | Python | doc_gen/doc_gen.py | alters-mit/multimodal_challenge | 1a2c6bdde290e474fa2cd6400970ef723f50ac30 | [
"MIT"
] | 1 | 2022-01-23T08:57:02.000Z | 2022-01-23T08:57:02.000Z | doc_gen/doc_gen.py | alters-mit/multimodal_challenge | 1a2c6bdde290e474fa2cd6400970ef723f50ac30 | [
"MIT"
] | null | null | null | doc_gen/doc_gen.py | alters-mit/multimodal_challenge | 1a2c6bdde290e474fa2cd6400970ef723f50ac30 | [
"MIT"
] | null | null | null | from pathlib import Path
from py_md_doc import PyMdDoc
import re
if __name__ == "__main__":
# API documentation.
md = PyMdDoc(input_directory=Path("../multimodal_challenge"), files=["dataset/dataset_trial.py",
"dataset/env_audio_materials... | 62.905405 | 120 | 0.565199 | 586 | 4,655 | 4.346416 | 0.269625 | 0.090695 | 0.051826 | 0.066745 | 0.369454 | 0.332548 | 0.303887 | 0.279545 | 0.253632 | 0.253632 | 0 | 0.005091 | 0.240387 | 4,655 | 73 | 121 | 63.767123 | 0.715215 | 0.108915 | 0 | 0.08 | 0 | 0.06 | 0.369886 | 0.094408 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.06 | 0 | 0.06 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fb2aab2d43bbb4a377c18a57b8bf99fa7afb6cb | 13,288 | py | Python | squidasm/sim/stack/common.py | QuTech-Delft/squidasm | 1d223a428620a2fb42a8a0e321dce732a1678f0d | [
"MIT"
] | 2 | 2022-01-16T00:25:27.000Z | 2022-01-21T13:56:45.000Z | squidasm/sim/stack/common.py | QuTech-Delft/squidasm | 1d223a428620a2fb42a8a0e321dce732a1678f0d | [
"MIT"
] | 8 | 2022-01-20T14:00:47.000Z | 2022-03-29T13:05:21.000Z | squidasm/sim/stack/common.py | QuTech-Delft/squidasm | 1d223a428620a2fb42a8a0e321dce732a1678f0d | [
"MIT"
] | 1 | 2022-01-23T18:55:47.000Z | 2022-01-23T18:55:47.000Z | import logging
from dataclasses import dataclass
from typing import Dict, Generator, List, Optional, Set, Tuple, Union
import netsquid as ns
from netqasm.lang import operand
from netqasm.lang.encoding import RegisterName
from netqasm.sdk.shared_memory import Arrays, RegisterGroup, setup_registers
from netsquid.compone... | 33.725888 | 88 | 0.620184 | 1,614 | 13,288 | 4.885998 | 0.157373 | 0.02739 | 0.020289 | 0.006974 | 0.352904 | 0.326401 | 0.29191 | 0.244103 | 0.203779 | 0.175374 | 0 | 0.001685 | 0.285446 | 13,288 | 393 | 89 | 33.811705 | 0.828857 | 0.03966 | 0 | 0.274194 | 0 | 0 | 0.039881 | 0.01052 | 0 | 0 | 0 | 0 | 0.022581 | 1 | 0.158065 | false | 0.003226 | 0.032258 | 0.035484 | 0.374194 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fb746921db0beee169291a09d57914c192dae4a | 3,599 | py | Python | rocheml/test/test_datasetgenerator.py | haydenroche5/rocheml | e081915f83697a6b95d7e13a63eb9a69e4bdde84 | [
"MIT"
] | null | null | null | rocheml/test/test_datasetgenerator.py | haydenroche5/rocheml | e081915f83697a6b95d7e13a63eb9a69e4bdde84 | [
"MIT"
] | null | null | null | rocheml/test/test_datasetgenerator.py | haydenroche5/rocheml | e081915f83697a6b95d7e13a63eb9a69e4bdde84 | [
"MIT"
] | null | null | null | import unittest
from datasetio.datasetwriter import DatasetWriter
from datasetio.datasetgenerator import DatasetGenerator
import h5py
import os
import numpy as np
import string
import random
import math
class TestDatasetGenerator(unittest.TestCase):
def setUp(self):
self.feat_length = 5
self.seq_l... | 35.284314 | 87 | 0.591275 | 430 | 3,599 | 4.716279 | 0.251163 | 0.088757 | 0.02712 | 0.02712 | 0.361933 | 0.33925 | 0.325937 | 0.294379 | 0.294379 | 0.294379 | 0 | 0.008454 | 0.309808 | 3,599 | 101 | 88 | 35.633663 | 0.807971 | 0.021395 | 0 | 0.231707 | 0 | 0 | 0.031818 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 1 | 0.097561 | false | 0 | 0.109756 | 0.012195 | 0.256098 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fba32d12111f85dc80af9dc8bb2227ff00fd5d8 | 1,814 | py | Python | tests/v2/test_parser.py | balloob/aiohue | f50478027ccf3b8ee6b804abb9fb48ea436e1561 | [
"Apache-2.0"
] | 14 | 2018-03-02T15:39:19.000Z | 2020-02-25T12:52:40.000Z | tests/v2/test_parser.py | balloob/aiohue | f50478027ccf3b8ee6b804abb9fb48ea436e1561 | [
"Apache-2.0"
] | 16 | 2018-03-19T15:02:18.000Z | 2020-02-08T02:06:07.000Z | tests/v2/test_parser.py | balloob/aiohue | f50478027ccf3b8ee6b804abb9fb48ea436e1561 | [
"Apache-2.0"
] | 14 | 2018-03-17T10:43:30.000Z | 2020-03-12T10:49:51.000Z | """Test parser functions that converts the incoming json from API into dataclass models."""
from dataclasses import dataclass
from typing import Optional
import pytest
from aiohue.util import dataclass_from_dict
@dataclass
class BasicModelChild:
"""Basic test model."""
a: int
b: str
c: str
d: Op... | 25.549296 | 91 | 0.624035 | 237 | 1,814 | 4.704641 | 0.337553 | 0.116592 | 0.13722 | 0.145291 | 0.251121 | 0.222422 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.260198 | 1,814 | 70 | 92 | 25.914286 | 0.814456 | 0.233186 | 0 | 0.346939 | 0 | 0 | 0.044021 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.020408 | false | 0 | 0.081633 | 0 | 0.346939 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fba6a4b08985a65fc7dc336160371e54cc2ae45 | 2,155 | py | Python | core/src/zeit/cms/workflow/modified.py | rickdg/vivi | 16134ac954bf8425646d4ad47bdd1f372e089355 | [
"BSD-3-Clause"
] | 5 | 2019-05-16T09:51:29.000Z | 2021-05-31T09:30:03.000Z | core/src/zeit/cms/workflow/modified.py | rickdg/vivi | 16134ac954bf8425646d4ad47bdd1f372e089355 | [
"BSD-3-Clause"
] | 107 | 2019-05-24T12:19:02.000Z | 2022-03-23T15:05:56.000Z | core/src/zeit/cms/workflow/modified.py | rickdg/vivi | 16134ac954bf8425646d4ad47bdd1f372e089355 | [
"BSD-3-Clause"
] | 3 | 2020-08-14T11:01:17.000Z | 2022-01-08T17:32:19.000Z | from datetime import datetime
import pytz
import zeit.cms.content.dav
import zeit.cms.interfaces
import zeit.cms.workflow.interfaces
import zope.component
import zope.dublincore.interfaces
import zope.interface
MIN_DATE = datetime.min.replace(tzinfo=pytz.UTC)
@zope.component.adapter(zeit.cms.interfaces.ICMSContent)... | 34.206349 | 78 | 0.76891 | 261 | 2,155 | 6.176245 | 0.237548 | 0.069479 | 0.065136 | 0.108561 | 0.42866 | 0.365385 | 0.365385 | 0.365385 | 0.318859 | 0.245658 | 0 | 0 | 0.141067 | 2,155 | 62 | 79 | 34.758065 | 0.870881 | 0 | 0 | 0.24 | 0 | 0 | 0.015777 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.16 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fbaf754c41ad4481aa6be8c252c4463ffd41432 | 10,141 | py | Python | bin/dm_proc_imob.py | gabiherman/datman | dcbca4981ff7bb1be536d6c62c3b27786cabdef9 | [
"Apache-2.0"
] | null | null | null | bin/dm_proc_imob.py | gabiherman/datman | dcbca4981ff7bb1be536d6c62c3b27786cabdef9 | [
"Apache-2.0"
] | null | null | null | bin/dm_proc_imob.py | gabiherman/datman | dcbca4981ff7bb1be536d6c62c3b27786cabdef9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
This analyzes imitate observe behavioural data.It could be generalized
to analyze any rapid event-related design experiment fairly easily.
Usage:
dm_proc_imob.py [options] <study>
Arguments:
<study> Name of study in system-wide configuration file.
Options:
--subject ... | 40.40239 | 176 | 0.636229 | 1,451 | 10,141 | 4.24397 | 0.229497 | 0.032153 | 0.04417 | 0.042222 | 0.38584 | 0.325106 | 0.297174 | 0.286781 | 0.282559 | 0.242611 | 0 | 0.021731 | 0.228577 | 10,141 | 250 | 177 | 40.564 | 0.765435 | 0.189922 | 0 | 0.19375 | 0 | 0.1 | 0.472905 | 0.172324 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.05625 | 0 | 0.10625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fbddd6698d341ba15c0546d8eddaff98692a0b3 | 1,713 | py | Python | examples/cls/v20201016/uploadlog.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 465 | 2018-04-27T09:54:59.000Z | 2022-03-29T02:18:01.000Z | examples/cls/v20201016/uploadlog.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 91 | 2018-04-27T09:48:11.000Z | 2022-03-12T08:04:04.000Z | examples/cls/v20201016/uploadlog.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 232 | 2018-05-02T08:02:46.000Z | 2022-03-30T08:02:48.000Z | # -*- coding: utf-8 -*-
import os
import sys
from tencentcloud.common import credential
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
# 导入对应产品模块的client models。
from tencentcloud.common import common_client
from tencentcloud.common.profile.client_profile import ClientPr... | 34.959184 | 95 | 0.730881 | 172 | 1,713 | 7.197674 | 0.581395 | 0.06462 | 0.088853 | 0.045234 | 0.048465 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055827 | 0.163456 | 1,713 | 48 | 96 | 35.6875 | 0.808095 | 0.224168 | 0 | 0 | 0 | 0 | 0.178843 | 0.103501 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.266667 | 0 | 0.266667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fbe0c898a3e6ca3bd07184204c83e01965e71a7 | 1,746 | py | Python | collectors/spiders/committee_speech.py | alvesmatheus/fala-camarada | 47015fe95422d5f71c279e47edacdd31ea3f71b8 | [
"MIT"
] | 7 | 2021-02-11T20:36:16.000Z | 2021-02-12T17:22:05.000Z | collectors/spiders/committee_speech.py | alvesmatheus/fala-camarada | 47015fe95422d5f71c279e47edacdd31ea3f71b8 | [
"MIT"
] | null | null | null | collectors/spiders/committee_speech.py | alvesmatheus/fala-camarada | 47015fe95422d5f71c279e47edacdd31ea3f71b8 | [
"MIT"
] | null | null | null | import re
import pandas as pd
from scrapy import Spider, Request
from bs4 import BeautifulSoup
from collectors.loaders import CommitteeSpeechLoader
from collectors.utils.constants import (
COMMITTEES_SCHEDULE_PATH,
SPEECH_SPEAKER_PATTERN,
COMMITTEE_SPEECH_URL
)
class CommitteeSpeechSpider(Spider):
na... | 30.103448 | 73 | 0.631157 | 197 | 1,746 | 5.360406 | 0.467005 | 0.039773 | 0.05303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005464 | 0.266323 | 1,746 | 57 | 74 | 30.631579 | 0.818891 | 0 | 0 | 0 | 0 | 0 | 0.096793 | 0.015464 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.146341 | 0 | 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 |
8fc021d0c8051f8cee45541b0c98bbc63e0e0171 | 16,823 | py | Python | steelpy/f2uModel/mesh/sqlite/element.py | svortega/steelpy | bef35eb8ab8728fc29f57b7070b5f3bac0b0e840 | [
"MIT"
] | 4 | 2021-09-28T12:52:01.000Z | 2022-02-24T22:30:22.000Z | steelpy/f2uModel/mesh/sqlite/element.py | svortega/steelpy | bef35eb8ab8728fc29f57b7070b5f3bac0b0e840 | [
"MIT"
] | null | null | null | steelpy/f2uModel/mesh/sqlite/element.py | svortega/steelpy | bef35eb8ab8728fc29f57b7070b5f3bac0b0e840 | [
"MIT"
] | null | null | null | # Copyright (c) 2009-2022 fem2ufo
#
# Python stdlib imports
from dataclasses import dataclass
from array import array
from collections import Counter
from collections.abc import Mapping
from math import dist
from typing import NamedTuple, Tuple, List, Iterator, Iterable, Union, Dict
from itertools import chain
# pa... | 33.713427 | 97 | 0.535041 | 1,774 | 16,823 | 4.878241 | 0.130214 | 0.021493 | 0.030044 | 0.058239 | 0.425468 | 0.3945 | 0.345852 | 0.300786 | 0.277675 | 0.234343 | 0 | 0.01068 | 0.354396 | 16,823 | 499 | 98 | 33.713427 | 0.786115 | 0.161267 | 0 | 0.304054 | 0 | 0.003378 | 0.031398 | 0 | 0 | 0 | 0 | 0.004008 | 0 | 1 | 0.118243 | false | 0 | 0.040541 | 0.006757 | 0.239865 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fc0d6ad5b5827802c283b1aeac28939ea11fd86 | 1,256 | py | Python | tools/convert_lf.py | might-and-magic/mm678_i18n | ddc37c743ac37169908641dcd5328a7ccae5138f | [
"MIT"
] | 17 | 2020-02-25T14:37:23.000Z | 2022-02-21T15:33:09.000Z | tools/convert_lf.py | tomchen/csv2po | 75e53fbc5c473b16e8dac153ee99793fad0cd5d0 | [
"MIT"
] | 1 | 2022-01-09T02:14:56.000Z | 2022-02-13T10:08:11.000Z | tools/convert_lf.py | tomchen/csv2po | 75e53fbc5c473b16e8dac153ee99793fad0cd5d0 | [
"MIT"
] | 3 | 2020-10-06T20:38:13.000Z | 2021-02-17T02:11:17.000Z | # Batch convert LF to '\n' and vice versa
# Tool of csv2po.py
# By Tom CHEN <tomchen.org@gmail.com> (tomchen.org)
import re
from pathlib import Path
from getfilepaths import getFilePaths
def convertLf(inputPath, outputPath, encoding = None, SlashNTolf = True): # check LF (non CRLF)
f = inputPath.open(mode = 'r', new... | 44.857143 | 176 | 0.710191 | 173 | 1,256 | 5.098266 | 0.433526 | 0.00907 | 0.049887 | 0.058957 | 0.281179 | 0.192744 | 0.192744 | 0.108844 | 0 | 0 | 0 | 0.010073 | 0.130573 | 1,256 | 27 | 177 | 46.518519 | 0.797619 | 0.240446 | 0 | 0 | 0 | 0 | 0.101266 | 0.059072 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.263158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fc2ed7dd777338b030108cb7bb036127694653d | 5,939 | py | Python | src/semantic_segmentation/classic_trainer.py | alteia-ai/ICSS | 088ddb7a8b92c71cc0b95e55d186069b8af50b0a | [
"MIT"
] | 7 | 2022-01-10T19:04:34.000Z | 2022-03-16T03:19:48.000Z | src/semantic_segmentation/classic_trainer.py | alteia-ai/ICSS | 088ddb7a8b92c71cc0b95e55d186069b8af50b0a | [
"MIT"
] | null | null | null | src/semantic_segmentation/classic_trainer.py | alteia-ai/ICSS | 088ddb7a8b92c71cc0b95e55d186069b8af50b0a | [
"MIT"
] | null | null | null | import logging
import os
import time
from glob import glob
import cv2 as cv
import numpy as np
import pandas as pd
import torch
from src.semantic_segmentation.loaders import GTDataset, RGBIncrementalDataset
from src.semantic_segmentation.trainer import Trainer
from src.semantic_segmentation.utils.losses import CrossEn... | 42.120567 | 140 | 0.58461 | 748 | 5,939 | 4.479947 | 0.229947 | 0.045956 | 0.025067 | 0.032229 | 0.240525 | 0.170994 | 0.143539 | 0.088033 | 0.088033 | 0.075201 | 0 | 0.009736 | 0.290958 | 5,939 | 140 | 141 | 42.421429 | 0.786037 | 0.03014 | 0 | 0.088 | 0 | 0.016 | 0.07287 | 0.021739 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032 | false | 0 | 0.104 | 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 |