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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c2fa21376f4ea9c90a43a879dad95d4e499dca61 | 3,270 | py | Python | topology/protocols.py | di-unipi-socc/arch-miner | 702144699cf422f3ec710080231f5f8203017366 | [
"MIT"
] | 4 | 2021-11-10T09:11:44.000Z | 2022-02-28T14:45:46.000Z | topology/protocols.py | di-unipi-socc/arch-miner | 702144699cf422f3ec710080231f5f8203017366 | [
"MIT"
] | null | null | null | topology/protocols.py | di-unipi-socc/arch-miner | 702144699cf422f3ec710080231f5f8203017366 | [
"MIT"
] | 1 | 2021-11-10T09:12:16.000Z | 2021-11-10T09:12:16.000Z | from .errors import NoInfoError
import ipaddress
class IP:
def __init__(self, packet: dict):
self.senderIP = ipaddress.ip_address(packet['ip.src'])
self.receiverIP = ipaddress.ip_address(packet['ip.dst'])
self.senderHost = packet['ip.src_host']
self.receiverHost = packet['ip.ds... | 31.442308 | 185 | 0.604587 | 361 | 3,270 | 5.401662 | 0.224377 | 0.061538 | 0.028205 | 0.04359 | 0.205641 | 0.127179 | 0.051282 | 0 | 0 | 0 | 0 | 0.006321 | 0.274312 | 3,270 | 103 | 186 | 31.747573 | 0.815424 | 0.005505 | 0 | 0.15493 | 0 | 0 | 0.159077 | 0.065538 | 0 | 0 | 0 | 0 | 0 | 1 | 0.295775 | false | 0 | 0.028169 | 0.225352 | 0.619718 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
6c02a1dcb7bcf68f321fdff494bf41d5e3090339 | 2,250 | py | Python | fairsearchdeltr/models.py | fair-search/fairsearchdeltr-python | 5bc2e8f0bf24ecd492978474919f512d3c0b65e1 | [
"Apache-2.0"
] | 3 | 2019-10-08T16:17:45.000Z | 2020-03-12T03:29:10.000Z | fairsearchdeltr/models.py | fair-search/fairsearchdeltr-python | 5bc2e8f0bf24ecd492978474919f512d3c0b65e1 | [
"Apache-2.0"
] | null | null | null | fairsearchdeltr/models.py | fair-search/fairsearchdeltr-python | 5bc2e8f0bf24ecd492978474919f512d3c0b65e1 | [
"Apache-2.0"
] | 1 | 2021-05-19T08:07:21.000Z | 2021-05-19T08:07:21.000Z | # -*- coding: utf-8 -*-
"""
fairsearchdeltr.models
~~~~~~~~~~~~~~~
This module contains the primary objects that power fairsearchdeltr.
"""
class TrainStep(object):
"""The :class:`TrainStep` object, which is a representation of the parameters in each step of the training.
Contains a `timestamp`, `omega`, `om... | 38.135593 | 116 | 0.638667 | 266 | 2,250 | 5.236842 | 0.308271 | 0.055994 | 0.030151 | 0.030151 | 0.340991 | 0.223259 | 0.223259 | 0.199569 | 0.199569 | 0.199569 | 0 | 0.003593 | 0.257778 | 2,250 | 59 | 117 | 38.135593 | 0.830539 | 0.494222 | 0 | 0.173913 | 0 | 0 | 0.072277 | 0.021782 | 0 | 0 | 0 | 0.016949 | 0 | 1 | 0.217391 | false | 0 | 0 | 0.086957 | 0.434783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6c0e7459e10509e1b31e1610fff26016d0b0831c | 571 | py | Python | bulletin_board_bot/services/user_service.py | t3m8ch/bulletin-board-bot | c76dd041fdfc6de55f96cd88bc7cf16a2aae30a6 | [
"MIT"
] | null | null | null | bulletin_board_bot/services/user_service.py | t3m8ch/bulletin-board-bot | c76dd041fdfc6de55f96cd88bc7cf16a2aae30a6 | [
"MIT"
] | null | null | null | bulletin_board_bot/services/user_service.py | t3m8ch/bulletin-board-bot | c76dd041fdfc6de55f96cd88bc7cf16a2aae30a6 | [
"MIT"
] | null | null | null | from abc import abstractmethod, ABC
from bulletin_board_bot.models import AdModel
from bulletin_board_bot.models.user import UserModel
from bulletin_board_bot.services.base_service import BaseService
class BaseUserService(BaseService, ABC):
@abstractmethod
async def register_user(self, telegram_id: int) -> ... | 27.190476 | 81 | 0.763573 | 74 | 571 | 5.635135 | 0.405405 | 0.086331 | 0.122302 | 0.143885 | 0.330935 | 0.206235 | 0.206235 | 0.206235 | 0.206235 | 0 | 0 | 0 | 0.176883 | 571 | 20 | 82 | 28.55 | 0.887234 | 0 | 0 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.214286 | 0.285714 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
6c103f567622f823c52e4cd49ce7211181ffdde5 | 6,538 | py | Python | nimismies/models.py | kimvais/nimismies | 47bdd7a9790dfc76b5a9402c0f9f888a83873be0 | [
"MIT"
] | 1 | 2018-06-25T19:31:16.000Z | 2018-06-25T19:31:16.000Z | nimismies/models.py | kimvais/nimismies | 47bdd7a9790dfc76b5a9402c0f9f888a83873be0 | [
"MIT"
] | null | null | null | nimismies/models.py | kimvais/nimismies | 47bdd7a9790dfc76b5a9402c0f9f888a83873be0 | [
"MIT"
] | null | null | null | #
# -*- coding: utf-8 -*-
#
# Copyright © 2013 Kimmo Parviainen-Jalanko <k@77.fi>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the right... | 32.854271 | 82 | 0.665647 | 824 | 6,538 | 5.123786 | 0.293689 | 0.03316 | 0.03316 | 0.037897 | 0.343202 | 0.307674 | 0.238276 | 0.158219 | 0.158219 | 0.081004 | 0 | 0.015569 | 0.233711 | 6,538 | 198 | 83 | 33.020202 | 0.826946 | 0.182472 | 0 | 0.281481 | 0 | 0 | 0.051219 | 0.003969 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162963 | false | 0.022222 | 0.044444 | 0.103704 | 0.577778 | 0.051852 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
6c2bf5a72cfc4cc3b0dda7408bf5305d5bbaaee1 | 71,585 | py | Python | src/emuvim/test/unittests/test_openstack.py | PedroPCardoso/fogbed | 11d9c8ce6ccd32ee71fbb77d719cc322dd9515da | [
"Apache-2.0"
] | null | null | null | src/emuvim/test/unittests/test_openstack.py | PedroPCardoso/fogbed | 11d9c8ce6ccd32ee71fbb77d719cc322dd9515da | [
"Apache-2.0"
] | null | null | null | src/emuvim/test/unittests/test_openstack.py | PedroPCardoso/fogbed | 11d9c8ce6ccd32ee71fbb77d719cc322dd9515da | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2015 SONATA-NFV
ALL RIGHTS RESERVED.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to... | 61.079352 | 351 | 0.541524 | 6,608 | 71,585 | 5.789195 | 0.081265 | 0.018978 | 0.018821 | 0.021958 | 0.780813 | 0.758698 | 0.714573 | 0.597281 | 0.561025 | 0.53559 | 0 | 0.038447 | 0.163959 | 71,585 | 1,171 | 352 | 61.131512 | 0.600755 | 0.037228 | 0 | 0.545929 | 0 | 0.044885 | 0.389676 | 0.168113 | 0 | 0 | 0 | 0 | 0.23904 | 1 | 0.007307 | false | 0 | 0.006263 | 0 | 0.014614 | 0.397704 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6c2eff3b4a9c98327585ed6129ba25d7436c202b | 982 | py | Python | 03_Unit_3/Sprint3/Module2-consuming-data-from-an-api/app/elephant_insert.py | mark-morelos/my_DataScience_notes | 2e05a3d77949cb8ccd9aac7c04cf7758d7b73d1c | [
"MIT"
] | null | null | null | 03_Unit_3/Sprint3/Module2-consuming-data-from-an-api/app/elephant_insert.py | mark-morelos/my_DataScience_notes | 2e05a3d77949cb8ccd9aac7c04cf7758d7b73d1c | [
"MIT"
] | null | null | null | 03_Unit_3/Sprint3/Module2-consuming-data-from-an-api/app/elephant_insert.py | mark-morelos/my_DataScience_notes | 2e05a3d77949cb8ccd9aac7c04cf7758d7b73d1c | [
"MIT"
] | null | null | null |
# DOESN'T WORK WITH PG
#import os
#import pandas as pd
#from dotenv import load_dotenv
#import psycopg2
#
#load_dotenv()
#
#DB_HOST = os.getenv("DB_HOST", default="OOPS")
#DB_NAME = os.getenv("DB_NAME", default="OOPS")
#DB_USER = os.getenv("DB_USER", default="OOPS")
#DB_PASSWORD = os.getenv("DB_PASSWORD", default="OO... | 29.757576 | 96 | 0.724033 | 150 | 982 | 4.56 | 0.48 | 0.046784 | 0.05848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005695 | 0.105906 | 982 | 32 | 97 | 30.6875 | 0.773349 | 0.933809 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6c51dee98e88a8d981cdeafa80e89babc0cb0a21 | 691 | py | Python | examples/mem_profile.py | chrhck/contagion | ea67c5db3fce02ddbd85142fcf545af948595a69 | [
"MIT"
] | 2 | 2020-10-08T10:23:47.000Z | 2021-11-19T09:00:19.000Z | examples/mem_profile.py | chrhck/contagion | ea67c5db3fce02ddbd85142fcf545af948595a69 | [
"MIT"
] | null | null | null | examples/mem_profile.py | chrhck/contagion | ea67c5db3fce02ddbd85142fcf545af948595a69 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import sys
import pandas as pd
import seaborn as sns
import networkx as nx
import yaml
from networkx.algorithms import approximation as nx_approx
from tqdm.notebook import tqdm
from copy import deepcopy
# Adding path to module
sys.path.append("../")
# picture path
PICS... | 23.827586 | 69 | 0.811867 | 100 | 691 | 5.49 | 0.54 | 0.071038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12301 | 691 | 28 | 70 | 24.678571 | 0.905941 | 0.070912 | 0 | 0 | 0 | 0 | 0.069182 | 0.051887 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.7 | 0 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
6c5a9a02bdebda618d324a7975dbbc767cc08e48 | 371 | py | Python | pythonLearning/class.py | liusong-cn/python | f67933f0879021a595258e09c4cde5ca1f9f6aed | [
"Apache-2.0"
] | 1 | 2019-11-12T13:38:54.000Z | 2019-11-12T13:38:54.000Z | pythonLearning/class.py | liusong-cn/python | f67933f0879021a595258e09c4cde5ca1f9f6aed | [
"Apache-2.0"
] | null | null | null | pythonLearning/class.py | liusong-cn/python | f67933f0879021a595258e09c4cde5ca1f9f6aed | [
"Apache-2.0"
] | null | null | null | #可以继承父类,默认的父类为object,单继承
class Foo(object):
version = 1.0
#self是类实例的引用,类似其他语言中的this
def __init__(self, name = 'zhang'):
self.name = name
print('这个方法类似构造函数,但不同于其他语言,此处是类实例在创建后自动执行的第一个方法而已')
def show(self):
print(self.name)
def addMe2Me3(self, x):
print(str(x + x))
f... | 21.823529 | 59 | 0.633423 | 46 | 371 | 5.021739 | 0.543478 | 0.103896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 0.226415 | 371 | 17 | 60 | 21.823529 | 0.780488 | 0.126685 | 0 | 0 | 0 | 0 | 0.145511 | 0.130031 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.416667 | 0.416667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
6c60d1efb15222619fa51cd7e19381c8bf695850 | 960 | py | Python | pyairwatch/mdm/tags.py | jprichards/PyVMwareAirWatch | ac25185d1f6a001c9670d57d11a3047553f743a1 | [
"MIT"
] | 17 | 2018-03-19T05:52:37.000Z | 2022-03-09T16:41:03.000Z | pyairwatch/mdm/tags.py | marshall-brown/PyVMwareAirWatch | ac25185d1f6a001c9670d57d11a3047553f743a1 | [
"MIT"
] | 2 | 2018-12-06T17:12:54.000Z | 2019-08-27T09:57:13.000Z | pyairwatch/mdm/tags.py | marshall-brown/PyVMwareAirWatch | ac25185d1f6a001c9670d57d11a3047553f743a1 | [
"MIT"
] | 9 | 2018-04-02T18:42:51.000Z | 2020-06-10T02:11:05.000Z | class Tags(object):
"""A class to manage various AirWatch device tag functionalities"""
def __init__(self, client):
self.client = client
def get_id_by_name(self, name, og_id):
# mdm/tags/search?name={name}
response = self._get(path='/tags/search', params={'name':str(name), 'organiz... | 45.714286 | 130 | 0.669792 | 129 | 960 | 4.891473 | 0.294574 | 0.063391 | 0.053883 | 0.053883 | 0.421553 | 0.421553 | 0.421553 | 0.421553 | 0.275753 | 0 | 0 | 0 | 0.189583 | 960 | 20 | 131 | 48 | 0.811054 | 0.176042 | 0 | 0.25 | 0 | 0 | 0.052903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c62129959a68d55c143f574207db30bb59790c9 | 5,811 | py | Python | FakeNewsNetDataset/scraper.py | stavIatrop/Thesis-Fake-News-Detection | 096fae9551ed836a1a03451ad6f32cf7f96218e2 | [
"MIT"
] | 9 | 2020-08-27T10:31:30.000Z | 2022-02-16T15:32:32.000Z | FakeNewsNetDataset/scraper.py | stavIatrop/Thesis-Fake-News-Detection | 096fae9551ed836a1a03451ad6f32cf7f96218e2 | [
"MIT"
] | null | null | null | FakeNewsNetDataset/scraper.py | stavIatrop/Thesis-Fake-News-Detection | 096fae9551ed836a1a03451ad6f32cf7f96218e2 | [
"MIT"
] | 2 | 2021-11-02T03:22:29.000Z | 2022-02-03T14:18:09.000Z | import requests
from bs4 import BeautifulSoup
import pandas as pd
list_art = list()
list_text = list()
list1 = [['id', 'text']]
headers = {'user-agent': 'Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)'}
f = open('real_urls_vol2', "r")
f2 = open('true_texts_vol2', "a")
i = 1
for data in f:
... | 42.727941 | 1,692 | 0.551024 | 775 | 5,811 | 4.095484 | 0.216774 | 0.091367 | 0.138626 | 0.180214 | 0.622558 | 0.496849 | 0.470384 | 0.408318 | 0.404537 | 0.404537 | 0 | 0.013266 | 0.247634 | 5,811 | 135 | 1,693 | 43.044444 | 0.712717 | 0.205989 | 0 | 0.534247 | 0 | 0.013699 | 0.292704 | 0.098078 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041096 | 0 | 0.041096 | 0.041096 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6c65aa95bcf56bccfa67a8b0a7af75c77031eee1 | 1,771 | py | Python | mj_envs/hand_manipulation_suite/__init__.py | Jendker/mj_envs | 472d86974a891fc814702b75a6bdbd44780f2224 | [
"Apache-2.0"
] | null | null | null | mj_envs/hand_manipulation_suite/__init__.py | Jendker/mj_envs | 472d86974a891fc814702b75a6bdbd44780f2224 | [
"Apache-2.0"
] | null | null | null | mj_envs/hand_manipulation_suite/__init__.py | Jendker/mj_envs | 472d86974a891fc814702b75a6bdbd44780f2224 | [
"Apache-2.0"
] | null | null | null | from gym.envs.registration import register
from mjrl.envs.mujoco_env import MujocoEnv
# Swing the door open
register(
id='door-v0',
entry_point='mj_envs.hand_manipulation_suite:DoorEnvV0',
max_episode_steps=200,
)
from mj_envs.hand_manipulation_suite.door_v0 import DoorEnvV0
# Hammer a nail into the board... | 30.016949 | 85 | 0.801242 | 250 | 1,771 | 5.368 | 0.232 | 0.062593 | 0.104322 | 0.229508 | 0.587183 | 0.587183 | 0.564083 | 0.510432 | 0.307004 | 0.23994 | 0 | 0.031593 | 0.124224 | 1,771 | 58 | 86 | 30.534483 | 0.833656 | 0.160926 | 0 | 0.295455 | 0 | 0 | 0.267253 | 0.213126 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.204545 | 0 | 0.204545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66687ee82078e35892dba2694bc97948c449f59c | 1,887 | py | Python | applicationfinder.py | KingCprey/applicationfinder | b6074e14d2b5ccac8163127baee80ef0d5414005 | [
"MIT"
] | null | null | null | applicationfinder.py | KingCprey/applicationfinder | b6074e14d2b5ccac8163127baee80ef0d5414005 | [
"MIT"
] | null | null | null | applicationfinder.py | KingCprey/applicationfinder | b6074e14d2b5ccac8163127baee80ef0d5414005 | [
"MIT"
] | 1 | 2020-11-21T18:57:00.000Z | 2020-11-21T18:57:00.000Z | #!/usr/bin/env python3
import os
import appcache,mimefinder
application_dir="/usr/share/applications"
cache_file=os.path.expanduser("~/.cache/")
#listdir but returns absolute paths
def ldirabs(dirpath):return [os.path.join(dirpath,f) for f in os.listdir(os.path.abspath(dirpath))]
def get_desktop_files():
try:
... | 35.603774 | 125 | 0.604663 | 273 | 1,887 | 4.03663 | 0.413919 | 0.087114 | 0.079855 | 0.019056 | 0.108893 | 0.08167 | 0.047187 | 0 | 0 | 0 | 0 | 0.005087 | 0.2708 | 1,887 | 52 | 126 | 36.288462 | 0.795785 | 0.206147 | 0 | 0.054054 | 0 | 0 | 0.071046 | 0.015416 | 0 | 0 | 0 | 0.019231 | 0 | 0 | null | null | 0 | 0.054054 | null | null | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66902dc9f11bf7a2e68b40ee0964ecbab45593ae | 265 | py | Python | tests/example_app/example/app.py | karmingc/flask-pg-extras | 4a3c386324d4290feae95332e31557b3ef4b582f | [
"MIT"
] | 31 | 2020-08-11T16:59:59.000Z | 2022-03-19T20:25:54.000Z | tests/example_app/example/app.py | karmingc/flask-pg-extras | 4a3c386324d4290feae95332e31557b3ef4b582f | [
"MIT"
] | 1 | 2022-03-24T18:06:11.000Z | 2022-03-28T23:53:53.000Z | tests/example_app/example/app.py | karmingc/flask-pg-extras | 4a3c386324d4290feae95332e31557b3ef4b582f | [
"MIT"
] | 5 | 2020-08-17T21:44:25.000Z | 2022-03-24T15:06:10.000Z | from flask import Flask
from flask_pg_extras import FlaskPGExtras
flask_pg_extras = FlaskPGExtras()
def create_app():
app = Flask(__name__)
flask_pg_extras.init_app(app)
@app.route('/')
def index():
return 'Hello world'
return app
| 15.588235 | 41 | 0.686792 | 35 | 265 | 4.857143 | 0.457143 | 0.123529 | 0.229412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222642 | 265 | 16 | 42 | 16.5625 | 0.825243 | 0 | 0 | 0 | 0 | 0 | 0.045283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0.1 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
669133f7f7a68da4004ce0c4b51a2d54f481ead7 | 756 | py | Python | app/backend/wells/migrations/0012_load_water_quality_codes.py | stephenhillier/gwells | 235d35f1f40dd845f8fecd0d7c3371c4564567c6 | [
"Apache-2.0"
] | null | null | null | app/backend/wells/migrations/0012_load_water_quality_codes.py | stephenhillier/gwells | 235d35f1f40dd845f8fecd0d7c3371c4564567c6 | [
"Apache-2.0"
] | null | null | null | app/backend/wells/migrations/0012_load_water_quality_codes.py | stephenhillier/gwells | 235d35f1f40dd845f8fecd0d7c3371c4564567c6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2018-08-14 17:48
from __future__ import unicode_literals
from django.db import migrations
import json
from io import open
import os
from gwells.codes import CodeFixture
from wells.models import WaterQualityCharacteristic, WaterQualityColour
def water_quality_c... | 26.068966 | 116 | 0.752646 | 96 | 756 | 5.65625 | 0.59375 | 0.088398 | 0.12523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059282 | 0.152116 | 756 | 28 | 117 | 27 | 0.787832 | 0.09127 | 0 | 0 | 1 | 0 | 0.083333 | 0.076023 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.388889 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
66987de6cd50b09efbfd3c52eb2c6a78cadf4458 | 1,860 | py | Python | cloudapi_digitalocean/digitaloceanobjects/account.py | zorani/cloudapi_digitalocean | 670da3b66fe343553194dd5f39a8209fd6012802 | [
"MIT"
] | null | null | null | cloudapi_digitalocean/digitaloceanobjects/account.py | zorani/cloudapi_digitalocean | 670da3b66fe343553194dd5f39a8209fd6012802 | [
"MIT"
] | null | null | null | cloudapi_digitalocean/digitaloceanobjects/account.py | zorani/cloudapi_digitalocean | 670da3b66fe343553194dd5f39a8209fd6012802 | [
"MIT"
] | null | null | null | from __future__ import annotations
from dataclasses import dataclass, field
from requests.models import Response
from ..digitaloceanapi.accounts import Accounts
from ..common.cloudapiexceptions import *
import json
import threading
import time
import re
@dataclass
class AccountAttributes:
droplet_limit: int = N... | 27.352941 | 75 | 0.713441 | 208 | 1,860 | 6.129808 | 0.259615 | 0.105882 | 0.155294 | 0.138039 | 0.317647 | 0.317647 | 0.317647 | 0.281569 | 0 | 0 | 0 | 0.00068 | 0.209677 | 1,860 | 67 | 76 | 27.761194 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0.006452 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.22449 | false | 0 | 0.183673 | 0.163265 | 0.816327 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
669b5de5cbe9e2654a30b9f2775dba773e4cd5a7 | 837 | py | Python | generatorpass/ext/site/main.py | es99/password-generator | edbbfcebfd5f083de88c1a4de9f1f67ff0f1010a | [
"Unlicense"
] | null | null | null | generatorpass/ext/site/main.py | es99/password-generator | edbbfcebfd5f083de88c1a4de9f1f67ff0f1010a | [
"Unlicense"
] | null | null | null | generatorpass/ext/site/main.py | es99/password-generator | edbbfcebfd5f083de88c1a4de9f1f67ff0f1010a | [
"Unlicense"
] | null | null | null | from flask import request, render_template
from flask import Blueprint
from generatorpass.ext.gerador import generate
from generatorpass.ext.db.models import Senhas
bp = Blueprint("site", __name__)
@bp.route('/', methods=['GET', 'POST'])
def index():
info = None
if request.method == 'POST':
conta = re... | 27.9 | 54 | 0.657109 | 106 | 837 | 5.103774 | 0.490566 | 0.103512 | 0.110906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.205496 | 837 | 29 | 55 | 28.862069 | 0.813534 | 0 | 0 | 0 | 1 | 0 | 0.169654 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.083333 | 0.166667 | 0.041667 | 0.416667 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
669fcc7aece753467906f215e6ce84a6ef99228f | 1,089 | py | Python | tests/test_openhab/test_plugins/test_thing/test_filter.py | DerOetzi/HABApp | a123fbfa9928ebb3cda9a84f6984dcba593c8236 | [
"Apache-2.0"
] | 44 | 2018-12-13T08:46:44.000Z | 2022-03-07T03:23:21.000Z | tests/test_openhab/test_plugins/test_thing/test_filter.py | DerOetzi/HABApp | a123fbfa9928ebb3cda9a84f6984dcba593c8236 | [
"Apache-2.0"
] | 156 | 2019-03-02T20:53:31.000Z | 2022-03-23T13:13:58.000Z | tests/test_openhab/test_plugins/test_thing/test_filter.py | DerOetzi/HABApp | a123fbfa9928ebb3cda9a84f6984dcba593c8236 | [
"Apache-2.0"
] | 18 | 2019-03-08T07:13:21.000Z | 2022-03-22T19:52:31.000Z | from HABApp.openhab.connection_logic.plugin_things.filters import ThingFilter, apply_filters
def test_thing_filter():
f = ThingFilter('thing_label', 'asdfasdf')
assert f.matches({'label': 'ASDFASDF'}, True)
assert f.matches({'label': 'ASDFASDF'}, False)
f = ThingFilter('thing_label', r'\d+')
asse... | 43.56 | 117 | 0.628099 | 136 | 1,089 | 4.889706 | 0.257353 | 0.168421 | 0.221053 | 0.114286 | 0.709774 | 0.572932 | 0.345865 | 0.345865 | 0.345865 | 0.345865 | 0 | 0.023555 | 0.142332 | 1,089 | 24 | 118 | 45.375 | 0.688437 | 0 | 0 | 0 | 0 | 0 | 0.223141 | 0 | 0 | 0 | 0 | 0 | 0.588235 | 1 | 0.117647 | false | 0 | 0.058824 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66bfb997a0732583e64fe7173567367bb5963be7 | 970 | py | Python | test/test_trie.py | paolodelia99/Python-C-Algorithms | 9113ad566e4e659c1f16135c2d3abd3a4c57a46e | [
"MIT"
] | 2 | 2021-02-13T10:58:58.000Z | 2021-03-16T09:56:01.000Z | test/test_trie.py | paolodelia99/Python-C-Algorithms | 9113ad566e4e659c1f16135c2d3abd3a4c57a46e | [
"MIT"
] | null | null | null | test/test_trie.py | paolodelia99/Python-C-Algorithms | 9113ad566e4e659c1f16135c2d3abd3a4c57a46e | [
"MIT"
] | null | null | null | import nose
import trie
Trie = trie.Trie
def test_trie_101():
t = Trie()
nose.tools.assert_is_instance(t, trie.Trie)
def test_trie_num_entries():
t = Trie()
nose.tools.assert_equal(t.num_entries(), 0)
def test_trie_append():
t = Trie()
t.append("ci", 2)
nose.tools.assert_equal(t.num_e... | 20.208333 | 48 | 0.615464 | 160 | 970 | 3.55625 | 0.2 | 0.123023 | 0.237258 | 0.281195 | 0.704745 | 0.594025 | 0.499121 | 0.390158 | 0.28471 | 0.28471 | 0 | 0.047558 | 0.197938 | 970 | 48 | 48 | 20.208333 | 0.683805 | 0 | 0 | 0.4 | 0 | 0 | 0.027806 | 0 | 0 | 0 | 0 | 0 | 0.257143 | 1 | 0.171429 | false | 0 | 0.057143 | 0 | 0.228571 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66cb3adf0d524f2655f2e19b20eca3615106fd58 | 225 | py | Python | Reddit-scripts/GetRedditLink/main.py | cheeseywhiz/cheeseywhiz | 51f6651ddbaeebd14d9ce77776bc4cf3a95511c4 | [
"MIT"
] | null | null | null | Reddit-scripts/GetRedditLink/main.py | cheeseywhiz/cheeseywhiz | 51f6651ddbaeebd14d9ce77776bc4cf3a95511c4 | [
"MIT"
] | null | null | null | Reddit-scripts/GetRedditLink/main.py | cheeseywhiz/cheeseywhiz | 51f6651ddbaeebd14d9ce77776bc4cf3a95511c4 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
from PyQt5 import QtWidgets
from Dialogs import Input
def main():
app = QtWidgets.QApplication([])
Input.InputDialog()
sys.exit(app.exec_())
if __name__ == '__main__':
main()
| 15 | 36 | 0.675556 | 28 | 225 | 5.107143 | 0.678571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010989 | 0.191111 | 225 | 14 | 37 | 16.071429 | 0.774725 | 0.075556 | 0 | 0 | 0 | 0 | 0.038647 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0 | 0.444444 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
66d0521bd0bf72697556d30f3c6128855a5bb584 | 799 | py | Python | cms/forms.py | danizavtz/sisimob | d1692cb59d1d761560aeaca98f9185f4f3b91040 | [
"MIT"
] | null | null | null | cms/forms.py | danizavtz/sisimob | d1692cb59d1d761560aeaca98f9185f4f3b91040 | [
"MIT"
] | null | null | null | cms/forms.py | danizavtz/sisimob | d1692cb59d1d761560aeaca98f9185f4f3b91040 | [
"MIT"
] | null | null | null | from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth.models import User
from .models import Imovel
from django import forms
from django.utils.html import strip_tags
class AuthenticateForm(AuthenticationForm):
username = forms.CharField(widget=forms.widgets.TextInput(attrs={'placeholder... | 38.047619 | 98 | 0.715895 | 96 | 799 | 5.833333 | 0.510417 | 0.071429 | 0.060714 | 0.075 | 0.114286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162703 | 799 | 21 | 99 | 38.047619 | 0.83707 | 0 | 0 | 0 | 0 | 0 | 0.07875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.055556 | 0.277778 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
66d63bb5e9cd306acdbb844fc662ce33baf6ae9d | 507 | py | Python | harris_corner_detector_plot.py | mariekevanbrussel/Harris_Corner_Detector | 6a299bcb45470a35bb13716eaebfec091cc694f7 | [
"MIT"
] | null | null | null | harris_corner_detector_plot.py | mariekevanbrussel/Harris_Corner_Detector | 6a299bcb45470a35bb13716eaebfec091cc694f7 | [
"MIT"
] | null | null | null | harris_corner_detector_plot.py | mariekevanbrussel/Harris_Corner_Detector | 6a299bcb45470a35bb13716eaebfec091cc694f7 | [
"MIT"
] | null | null | null | #%%
import cv2
import numpy as np
from scipy.signal import convolve2d
from harris_corner_detector import harris_corner_detector
def harris_corner_detector_plot(img_color_orig, thresh, sigma=1, window_size=5):
img_color = img_color_orig.copy()
Points = harris_corner_detector(img_color, thresh, sigma, window_si... | 23.045455 | 80 | 0.717949 | 76 | 507 | 4.539474 | 0.460526 | 0.13913 | 0.231884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03423 | 0.193294 | 507 | 21 | 81 | 24.142857 | 0.809291 | 0.015779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.307692 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
66dec5d4537c3a2a5a813aabc936ad12573196fe | 884 | py | Python | src/fl_simulation/server/aggregation/multi_model_aggregator/aggregator_factory.py | microsoft/fl-simulation | d177d329c82559c7efe82deae8dea8f9baa49495 | [
"MIT"
] | 5 | 2021-12-14T02:21:53.000Z | 2021-12-26T07:45:13.000Z | src/fl_simulation/server/aggregation/multi_model_aggregator/aggregator_factory.py | microsoft/fl-simulation | d177d329c82559c7efe82deae8dea8f9baa49495 | [
"MIT"
] | 1 | 2022-01-04T04:51:20.000Z | 2022-01-04T04:51:20.000Z | src/fl_simulation/server/aggregation/multi_model_aggregator/aggregator_factory.py | microsoft/fl-simulation | d177d329c82559c7efe82deae8dea8f9baa49495 | [
"MIT"
] | null | null | null | """Aggregator factory."""
from typing import Any, Generic
import torch
import torch.nn as nn
from typing_extensions import Protocol
from ._types import T_aggregator
class AggregatorFactory(Protocol, Generic[T_aggregator]):
"""An Aggregator factory.
Used to instansiate a new aggregator. Works with exis... | 24.555556 | 110 | 0.649321 | 97 | 884 | 5.752577 | 0.463918 | 0.078853 | 0.091398 | 0.089606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 884 | 35 | 111 | 25.257143 | 0.841629 | 0.466063 | 0 | 0 | 0 | 0 | 0.007853 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.5 | 0 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
dd055670a60b4dea5bd55fd87990e16c258a6ded | 8,838 | py | Python | rolling/action/base.py | coolkat64/rolling | 4c3ee2401128e993a52ac9b52cdbd32e17728129 | [
"MIT"
] | null | null | null | rolling/action/base.py | coolkat64/rolling | 4c3ee2401128e993a52ac9b52cdbd32e17728129 | [
"MIT"
] | null | null | null | rolling/action/base.py | coolkat64/rolling | 4c3ee2401128e993a52ac9b52cdbd32e17728129 | [
"MIT"
] | null | null | null | # coding: utf-8
import abc
import dataclasses
import typing
from urllib.parse import urlencode
import serpyco
from guilang.description import Description
from rolling.model.event import ZoneEvent
from rolling.model.event import ZoneEventData
from rolling.rolling_types import ActionType
from rolling.server.controller.... | 29.264901 | 100 | 0.695293 | 993 | 8,838 | 5.917422 | 0.106747 | 0.121341 | 0.119469 | 0.044929 | 0.755106 | 0.735194 | 0.697754 | 0.672907 | 0.625936 | 0.572668 | 0 | 0.000432 | 0.213397 | 8,838 | 301 | 101 | 29.362126 | 0.844793 | 0.007581 | 0 | 0.622951 | 0 | 0 | 0.077741 | 0.020578 | 0 | 0 | 0 | 0 | 0 | 1 | 0.143443 | false | 0.090164 | 0.077869 | 0.02459 | 0.327869 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
dd0806cc6929af588554bc76afba1cb03d0da903 | 635 | py | Python | djmo/tests/project_for_tests/apps/soccer/models.py | davidegriffon/djmo | 853212471e59a0fa49d22f17cf57caeb552783f8 | [
"MIT"
] | 5 | 2015-12-09T08:13:03.000Z | 2019-05-12T07:14:25.000Z | djmo/tests/project_for_tests/apps/soccer/models.py | davidegriffon/djmo | 853212471e59a0fa49d22f17cf57caeb552783f8 | [
"MIT"
] | null | null | null | djmo/tests/project_for_tests/apps/soccer/models.py | davidegriffon/djmo | 853212471e59a0fa49d22f17cf57caeb552783f8 | [
"MIT"
] | null | null | null | """
Only for test purpose
"""
from django.db import models
class SoccerTeam(models.Model):
name = models.CharField(max_length=50)
number_of_supporters = models.IntegerField()
@property
def all_players(self):
return SoccerPlayer.objects.filter(team=self)
def __str__(self):
return ... | 25.4 | 79 | 0.696063 | 77 | 635 | 5.506494 | 0.467532 | 0.070755 | 0.134434 | 0.15566 | 0.212264 | 0.212264 | 0 | 0 | 0 | 0 | 0 | 0.011472 | 0.176378 | 635 | 25 | 79 | 25.4 | 0.799235 | 0.033071 | 0 | 0.133333 | 0 | 0 | 0.06425 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.066667 | 0.2 | 0.933333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
dd0b52fd3540b89515ea68476efa56f9b21e2667 | 295 | py | Python | app/users/tests/utils.py | noxITRS/family-budget | 987621256f3e8290ae58854d2ba22db8be3e73d3 | [
"MIT"
] | null | null | null | app/users/tests/utils.py | noxITRS/family-budget | 987621256f3e8290ae58854d2ba22db8be3e73d3 | [
"MIT"
] | null | null | null | app/users/tests/utils.py | noxITRS/family-budget | 987621256f3e8290ae58854d2ba22db8be3e73d3 | [
"MIT"
] | null | null | null | from unittest.mock import ANY
def get_expected_user(item, **kwargs):
return {
"id": kwargs.get("id", item.id),
"username": kwargs.get("username", item.username),
"email": kwargs.get("email", item.email),
"date_joined": kwargs.get("date_joined", ANY),
}
| 26.818182 | 58 | 0.60678 | 37 | 295 | 4.72973 | 0.459459 | 0.205714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216949 | 295 | 10 | 59 | 29.5 | 0.757576 | 0 | 0 | 0 | 0 | 0 | 0.176271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.125 | 0.375 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
dd1c7ac3b7fe58bc5fe19b4a35bfdf6242335a67 | 280 | py | Python | math/abstract-algebra/1.py | admariner/playground | 02a3104472c8fa3589fe87f7265e70c61d5728c7 | [
"MIT"
] | 3 | 2021-06-12T04:42:32.000Z | 2021-06-24T13:57:38.000Z | math/abstract-algebra/1.py | admariner/playground | 02a3104472c8fa3589fe87f7265e70c61d5728c7 | [
"MIT"
] | null | null | null | math/abstract-algebra/1.py | admariner/playground | 02a3104472c8fa3589fe87f7265e70c61d5728c7 | [
"MIT"
] | 1 | 2021-08-19T14:57:17.000Z | 2021-08-19T14:57:17.000Z | # Semigroup = non-empty set with an associative binary operation
# using addition
print((2 + 3) + 4 == 2 + (3 + 4) == 9)
# We get a property of closure, because the number we get is still a number of the same set,
# natural numbers, including 0
# (2 + 3) + 4
# 2 + (3 + 4)
# 9
| 23.333333 | 92 | 0.635714 | 49 | 280 | 3.632653 | 0.653061 | 0.044944 | 0.067416 | 0.044944 | 0.078652 | 0.078652 | 0.078652 | 0 | 0 | 0 | 0 | 0.070755 | 0.242857 | 280 | 11 | 93 | 25.454545 | 0.768868 | 0.796429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
dd2f9b1bc293903b0a611273338d842fb70f439e | 410 | py | Python | chap03/exercise/Loader.py | viekie/basic_deeplearning | 6c9e55cd621504da3d7ea1627e6783c9819a1916 | [
"Apache-2.0"
] | 3 | 2017-05-23T08:11:44.000Z | 2017-09-25T11:17:57.000Z | chap03/exercise/Loader.py | viekie/basic_deeplearning | 6c9e55cd621504da3d7ea1627e6783c9819a1916 | [
"Apache-2.0"
] | null | null | null | chap03/exercise/Loader.py | viekie/basic_deeplearning | 6c9e55cd621504da3d7ea1627e6783c9819a1916 | [
"Apache-2.0"
] | 1 | 2017-06-19T03:36:40.000Z | 2017-06-19T03:36:40.000Z | #!/usr/bin/env python
# -*- coding:utf8 -*-
# Power by viekie. 2017-05-19 15:36:33
import struct
class Loader(object):
def __init__(self, path, count):
self.path = path
self.count = count
def get_file_content(self):
with open(self.path, 'rb') as f:
content = f.read()
... | 21.578947 | 42 | 0.587805 | 59 | 410 | 3.966102 | 0.694915 | 0.102564 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053691 | 0.273171 | 410 | 18 | 43 | 22.777778 | 0.731544 | 0.187805 | 0 | 0 | 0 | 0 | 0.009091 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.090909 | 0.090909 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
dd304c144be6ea52163169a230cb7429ebc3d520 | 337 | py | Python | 30_day_leetcoding_challenge/2020_11/03-Consecutive_Characters.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | 6 | 2018-06-13T06:48:42.000Z | 2020-11-25T10:48:13.000Z | 30_day_leetcoding_challenge/2020_11/03-Consecutive_Characters.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | null | null | null | 30_day_leetcoding_challenge/2020_11/03-Consecutive_Characters.py | QuenLo/leecode | ce861103949510dc54fd5cb336bd992c40748de2 | [
"MIT"
] | null | null | null | class Solution:
def maxPower(self, s: str) -> int:
power = []
i, temp = 1, ""
for s_char in s:
if s_char == temp:
i += 1
else:
power.append( i )
i = 1
temp = s_char
power.append(i)
r... | 21.0625 | 38 | 0.373887 | 38 | 337 | 3.236842 | 0.526316 | 0.121951 | 0.195122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018868 | 0.52819 | 337 | 15 | 39 | 22.466667 | 0.754717 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd34ed621068d713f8d551cffc83faae660649cc | 2,637 | py | Python | tutorials/python/decorators2020/decorators.py | joamatab/install_new_computer | 92080adc4bdd693bbd07c19e696a2a6cae8bb8f8 | [
"MIT"
] | 3 | 2019-09-30T22:33:45.000Z | 2021-06-02T03:01:55.000Z | tutorials/python/decorators2020/decorators.py | joamatab/install_new_computer | 92080adc4bdd693bbd07c19e696a2a6cae8bb8f8 | [
"MIT"
] | null | null | null | tutorials/python/decorators2020/decorators.py | joamatab/install_new_computer | 92080adc4bdd693bbd07c19e696a2a6cae8bb8f8 | [
"MIT"
] | 1 | 2019-12-27T11:19:36.000Z | 2019-12-27T11:19:36.000Z | import functools
import time
REGISTERED = {}
def register(func):
REGISTERED[func.__name__] = func
return func
def timer(func):
""" template for decorators """
@functools.wraps(func)
def _timer(*args, **kwargs):
t0 = time.perf_counter()
value = func(*args, **kwargs)
t1 =... | 20.928571 | 67 | 0.589306 | 325 | 2,637 | 4.52 | 0.236923 | 0.088496 | 0.057182 | 0.071477 | 0.281824 | 0.261402 | 0.190606 | 0.164738 | 0.164738 | 0.096664 | 0 | 0.008524 | 0.288206 | 2,637 | 125 | 68 | 21.096 | 0.774108 | 0.122867 | 0 | 0.328571 | 0 | 0 | 0.058772 | 0.02563 | 0 | 0 | 0 | 0 | 0 | 1 | 0.242857 | false | 0 | 0.028571 | 0.014286 | 0.528571 | 0.057143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
dd4ff723cfd9e94008f392b049f7cd0a5d450c66 | 6,608 | py | Python | convert_tf2npu/conver_by_ast.py | Judithsq/tensorflow | 82507eb26ab120c02bf217610975754100686970 | [
"Apache-2.0"
] | null | null | null | convert_tf2npu/conver_by_ast.py | Judithsq/tensorflow | 82507eb26ab120c02bf217610975754100686970 | [
"Apache-2.0"
] | 1 | 2021-04-10T08:28:59.000Z | 2021-06-15T01:46:05.000Z | convert_tf2npu/conver_by_ast.py | Judithsq/tensorflow | 82507eb26ab120c02bf217610975754100686970 | [
"Apache-2.0"
] | 1 | 2021-04-10T07:51:47.000Z | 2021-04-10T07:51:47.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... | 42.909091 | 159 | 0.71368 | 935 | 6,608 | 4.720856 | 0.189305 | 0.063435 | 0.044857 | 0.069325 | 0.527866 | 0.414363 | 0.308111 | 0.184413 | 0.142728 | 0.062755 | 0 | 0.003561 | 0.192494 | 6,608 | 154 | 160 | 42.909091 | 0.823651 | 0.120914 | 0 | 0.145161 | 0 | 0 | 0.123101 | 0.069061 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.354839 | 0 | 0.532258 | 0.008065 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
dd500cc19d38d536b493d29c56a7e61833c9fba0 | 124 | py | Python | MUL.py | ritwik15416/SPOJ-Classical-Problems | 128c491afd6f0cec4d616e1f3cb784389101826b | [
"MIT"
] | null | null | null | MUL.py | ritwik15416/SPOJ-Classical-Problems | 128c491afd6f0cec4d616e1f3cb784389101826b | [
"MIT"
] | null | null | null | MUL.py | ritwik15416/SPOJ-Classical-Problems | 128c491afd6f0cec4d616e1f3cb784389101826b | [
"MIT"
] | null | null | null | # Used Python for handling large integers
for _ in range(int(input())):
a,b = list(map(int,input().split()))
print(a*b)
| 20.666667 | 41 | 0.66129 | 21 | 124 | 3.857143 | 0.761905 | 0.197531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153226 | 124 | 5 | 42 | 24.8 | 0.771429 | 0.314516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd528a57669cef77ac7a00f0db44093564eeadd2 | 311 | py | Python | Programmers/[cutz]2016.py | cutz-j/AlgorithmStudy | de0f81220e29bd5e109d174800f507b12a3bee36 | [
"MIT"
] | 3 | 2019-11-26T14:31:01.000Z | 2020-01-10T18:19:46.000Z | Programmers/[cutz]2016.py | cutz-j/AlgorithmStudy | de0f81220e29bd5e109d174800f507b12a3bee36 | [
"MIT"
] | null | null | null | Programmers/[cutz]2016.py | cutz-j/AlgorithmStudy | de0f81220e29bd5e109d174800f507b12a3bee36 | [
"MIT"
] | null | null | null | def solution(a, b):
answer = ''
month = {0:0, 1:31, 2:29, 3:31, 4:30, 5:31, 6:30, 7:31, 8:31, 9:30, 10:31, 11:30, 12:31}
day = {1:'FRI',2:'SAT',3:'SUN', 4:'MON',5:'TUE',6:'WED', 0:'THU'}
d = 0
for i in range(0, a):
d += month[i]
d += b
answer = day[(d % 7)]
return answer | 31.1 | 92 | 0.459807 | 66 | 311 | 2.166667 | 0.545455 | 0.097902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.226667 | 0.276527 | 311 | 10 | 93 | 31.1 | 0.408889 | 0 | 0 | 0 | 0 | 0 | 0.067308 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd55138352fcba509556e05eefd4de0090ed8535 | 953 | py | Python | src/matchingframework/scores/clusters.py | quoctoanpk2511/matching-framework | 03975cadfd67aa3d24f3a9ab83558633243d526d | [
"MIT"
] | null | null | null | src/matchingframework/scores/clusters.py | quoctoanpk2511/matching-framework | 03975cadfd67aa3d24f3a9ab83558633243d526d | [
"MIT"
] | null | null | null | src/matchingframework/scores/clusters.py | quoctoanpk2511/matching-framework | 03975cadfd67aa3d24f3a9ab83558633243d526d | [
"MIT"
] | null | null | null | import abc
class Clustering:
def add_matcher(self, matcher):
"""
Add the match object on the Clustering.
Args:
matcher: matchingframework.match.matchers.Matcher
Returns: None
"""
self.matcher = matcher
"""The matcher object"""
@abc.abstr... | 24.435897 | 73 | 0.60021 | 107 | 953 | 5.17757 | 0.392523 | 0.138989 | 0.057762 | 0.072202 | 0.162455 | 0.097473 | 0 | 0 | 0 | 0 | 0 | 0 | 0.294858 | 953 | 38 | 74 | 25.078947 | 0.824405 | 0.231899 | 0 | 0 | 0 | 0 | 0.066102 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307692 | false | 0 | 0.076923 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
dd5b41794980885802ed9a4901457028e14e12e1 | 512 | py | Python | Conteudo das Aulas/084/8rainhas.py | cerberus707/lab-python | ebba3c9cde873d70d4bb61084f79ce30b7f9e047 | [
"Apache-2.0"
] | null | null | null | Conteudo das Aulas/084/8rainhas.py | cerberus707/lab-python | ebba3c9cde873d70d4bb61084f79ce30b7f9e047 | [
"Apache-2.0"
] | null | null | null | Conteudo das Aulas/084/8rainhas.py | cerberus707/lab-python | ebba3c9cde873d70d4bb61084f79ce30b7f9e047 | [
"Apache-2.0"
] | null | null | null | """
Você deve resolver o clássico exercício das 8 rainhas
Nele o usuário lhe passa o tamanho do tabuleiro n
(lembrar que tabuleiros são quadrados então o usuário
só precisa lhe passar um inteiro) e você deve gerar
uma todas as distribuições de n rainhas neste tabuleiro
e imprimi-las de uma forma adequada.
Veja o livro... | 32 | 55 | 0.794922 | 88 | 512 | 4.625 | 0.738636 | 0.039312 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002375 | 0.177734 | 512 | 15 | 56 | 34.133333 | 0.964371 | 0.982422 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd5c98849c8f5e07ef866d7cb464355449c46746 | 1,473 | py | Python | code/visualisation/plot2d.py | yidanliu-psy/final_project | 2fadf3687ec1a47ca9920a05b32c231c0ba23752 | [
"MIT"
] | 3 | 2021-01-30T08:01:41.000Z | 2021-05-13T14:43:05.000Z | code/visualisation/plot2d.py | yidanliu-psy/GameVis | 2fadf3687ec1a47ca9920a05b32c231c0ba23752 | [
"MIT"
] | 1 | 2020-08-25T01:58:14.000Z | 2020-09-09T01:47:09.000Z | code/visualisation/plot2d.py | yidanliu-psy/GameVis | 2fadf3687ec1a47ca9920a05b32c231c0ba23752 | [
"MIT"
] | 1 | 2020-08-16T21:54:50.000Z | 2020-08-16T21:54:50.000Z | # plot 2d 2rd-order regression
import matplotlib.pyplot as plt
import numpy as np
I = np.arange(4.40990640657, 58.51715740979401, 0.1) # (min, max, step)
I_coef_list = [
[-0.13927776461608068, 0.002038919337462459, 2.3484253283211487], # doubles
[-0.09850865867608666, 0.001429693439506745, 1.673346834786426],... | 29.46 | 97 | 0.698574 | 199 | 1,473 | 5.080402 | 0.492462 | 0.063304 | 0.035608 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.405956 | 0.133741 | 1,473 | 49 | 98 | 30.061224 | 0.386364 | 0.098439 | 0 | 0 | 0 | 0 | 0.035034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd6b89f17c431e5b6b50bef3d69de51b6790cd10 | 8,052 | py | Python | int-tests/test_server.py | manimaul/xio | cd3e24fa61f0d4bd2a3582077071ea9f0218a5fe | [
"Apache-2.0"
] | 40 | 2016-08-18T21:09:50.000Z | 2022-01-26T11:38:19.000Z | int-tests/test_server.py | manimaul/xio | cd3e24fa61f0d4bd2a3582077071ea9f0218a5fe | [
"Apache-2.0"
] | 78 | 2015-01-27T05:45:46.000Z | 2021-03-31T18:47:13.000Z | int-tests/test_server.py | manimaul/xio | cd3e24fa61f0d4bd2a3582077071ea9f0218a5fe | [
"Apache-2.0"
] | 29 | 2015-10-09T16:52:37.000Z | 2019-04-10T01:07:44.000Z | import os.path as path
import unittest
from unittest import TestCase
from server_controller import Server, Initializer, module_dir
from unsafe_client import http_get, http_post, Response
back_init = Initializer('int-test-backend-server')
front_init = Initializer('int-test-proxy-server')
back_end = None
front_end = No... | 34.55794 | 123 | 0.65996 | 1,055 | 8,052 | 4.860664 | 0.109953 | 0.048362 | 0.067863 | 0.087363 | 0.707098 | 0.703588 | 0.697933 | 0.691303 | 0.676677 | 0.667512 | 0 | 0.027358 | 0.169275 | 8,052 | 232 | 124 | 34.706897 | 0.739273 | 0.011798 | 0 | 0.603448 | 0 | 0 | 0.179471 | 0.008942 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.143678 | false | 0 | 0.028736 | 0 | 0.206897 | 0.028736 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd7fe2505156aff13677bf728abddadd6a2cd4aa | 212 | py | Python | src/platform/tomcat/fingerprints/Tomcat33.py | 0x27/clusterd | 0f04a4955c61aa523274e9ae35d750f4339b1e59 | [
"MIT"
] | 539 | 2015-01-08T23:59:32.000Z | 2022-03-29T17:53:02.000Z | src/platform/tomcat/fingerprints/Tomcat33.py | M31MOTH/clusterd | d190b2cbaa93820e928a7ce5471c661d4559fb7c | [
"MIT"
] | 21 | 2015-01-17T21:51:21.000Z | 2019-09-20T09:23:18.000Z | src/platform/tomcat/fingerprints/Tomcat33.py | M31MOTH/clusterd | d190b2cbaa93820e928a7ce5471c661d4559fb7c | [
"MIT"
] | 192 | 2015-01-26T20:44:14.000Z | 2021-12-22T01:39:50.000Z | from src.platform.tomcat.interfaces import AppInterface
class FPrint(AppInterface):
def __init__(self):
super(FPrint, self).__init__()
self.version = "3.3"
self.uri = "/doc/readme"
| 21.2 | 55 | 0.65566 | 25 | 212 | 5.24 | 0.72 | 0.122137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012121 | 0.221698 | 212 | 9 | 56 | 23.555556 | 0.781818 | 0 | 0 | 0 | 0 | 0 | 0.066038 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd839bedadd3f904f4462a19bbb54565bde22dd2 | 539 | py | Python | frontend/maBlog/models.py | rishirajpurohit/Angular2withDjango-python | 3b293ae62fd671bd352c045f4876d735e36fcd4e | [
"MIT"
] | null | null | null | frontend/maBlog/models.py | rishirajpurohit/Angular2withDjango-python | 3b293ae62fd671bd352c045f4876d735e36fcd4e | [
"MIT"
] | null | null | null | frontend/maBlog/models.py | rishirajpurohit/Angular2withDjango-python | 3b293ae62fd671bd352c045f4876d735e36fcd4e | [
"MIT"
] | null | null | null | from django.db import models
# Cnreate your models here.
class posts(models.Model):
post = models.CharField(max_length=200)
summary = models.CharField(max_length=50)
author = models.CharField(max_length=50)
date = models.DateTimeField('date published')
title = models.CharField(max_length=50)
def __str__(self):... | 20.730769 | 46 | 0.706865 | 74 | 539 | 5.013514 | 0.405405 | 0.161725 | 0.19407 | 0.25876 | 0.210243 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019824 | 0.157699 | 539 | 25 | 47 | 21.56 | 0.797357 | 0.046382 | 0 | 0 | 0 | 0 | 0.074803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0.058824 | 0.647059 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd897381a3f20b3dfbaa0e11129a61ca25945c2c | 86 | py | Python | snakeflake/__init__.py | Roadcrosser/snakeflake | 699f48f8a415721dde5875b95401989384048f02 | [
"Apache-2.0"
] | 4 | 2020-03-04T22:08:25.000Z | 2021-06-09T09:47:00.000Z | snakeflake/__init__.py | Roadcrosser/snakeflake | 699f48f8a415721dde5875b95401989384048f02 | [
"Apache-2.0"
] | null | null | null | snakeflake/__init__.py | Roadcrosser/snakeflake | 699f48f8a415721dde5875b95401989384048f02 | [
"Apache-2.0"
] | null | null | null | """Snakeflake init file"""
__all__ = ["snakeflake", "config", "utils", "exceptions"]
| 21.5 | 57 | 0.651163 | 8 | 86 | 6.5 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116279 | 86 | 3 | 58 | 28.666667 | 0.684211 | 0.232558 | 0 | 0 | 0 | 0 | 0.516667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd8a85b273c8b372a78df9c0b81e423d6134955d | 212 | py | Python | practice/lc136.py | itsmeolivia/code_eval | b00c7c968343b1be2efeb138b58471833d24022d | [
"MIT"
] | null | null | null | practice/lc136.py | itsmeolivia/code_eval | b00c7c968343b1be2efeb138b58471833d24022d | [
"MIT"
] | null | null | null | practice/lc136.py | itsmeolivia/code_eval | b00c7c968343b1be2efeb138b58471833d24022d | [
"MIT"
] | null | null | null | class Solution:
# @param {integer[]} nums
# @return {integer}
def singleNumber(self, nums):
a = set(nums)
a = sum(a)*2
singleNumber = a - sum(nums)
return singleNumber
| 23.555556 | 36 | 0.551887 | 24 | 212 | 4.875 | 0.541667 | 0.17094 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006993 | 0.325472 | 212 | 8 | 37 | 26.5 | 0.811189 | 0.193396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd949b779c5e8d921abc137e847e3d4a29f97f72 | 1,485 | py | Python | tests/conftest.py | Kupoman/shadertest | 79b959e0ff00ac8c30918e83e0751f25bcc447ae | [
"MIT"
] | 7 | 2018-11-10T20:49:56.000Z | 2021-08-31T04:34:56.000Z | tests/conftest.py | Kupoman/shadertest | 79b959e0ff00ac8c30918e83e0751f25bcc447ae | [
"MIT"
] | null | null | null | tests/conftest.py | Kupoman/shadertest | 79b959e0ff00ac8c30918e83e0751f25bcc447ae | [
"MIT"
] | 2 | 2018-12-10T03:01:05.000Z | 2018-12-10T12:51:11.000Z | import pytest
from shadertest.shader_parser import (
Argument,
Function,
)
@pytest.fixture
def no_arg_function():
return Function(
'function',
'float',
[],
'float function () { return 1.0; }'
)
@pytest.fixture
def one_arg_function():
return Function(
'fun... | 17.267442 | 61 | 0.485522 | 141 | 1,485 | 5.007092 | 0.170213 | 0.1983 | 0.15864 | 0.29745 | 0.433428 | 0.331445 | 0.27762 | 0.147309 | 0.147309 | 0 | 0 | 0.01065 | 0.367677 | 1,485 | 85 | 62 | 17.470588 | 0.741214 | 0 | 0 | 0.5 | 0 | 0.014286 | 0.266667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | true | 0 | 0.028571 | 0.1 | 0.228571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd95a279e4806da94547a2c3f13a776301e90249 | 795 | py | Python | rltime/acting/actor_wrapper.py | frederikschubert/rltime | d1722ffd4cf7b4599655b8d9c64abc243919afc9 | [
"Apache-2.0"
] | 147 | 2019-09-05T10:41:15.000Z | 2021-12-28T23:41:54.000Z | rltime/acting/actor_wrapper.py | frederikschubert/rltime | d1722ffd4cf7b4599655b8d9c64abc243919afc9 | [
"Apache-2.0"
] | 1 | 2020-10-18T14:55:53.000Z | 2021-11-18T10:41:36.000Z | rltime/acting/actor_wrapper.py | frederikschubert/rltime | d1722ffd4cf7b4599655b8d9c64abc243919afc9 | [
"Apache-2.0"
] | 11 | 2019-09-08T09:18:28.000Z | 2020-11-30T12:41:37.000Z | from .acting_interface import ActingInterface
class ActorWrapper(ActingInterface):
"""Wrapper for a created actor
Allows overriding only specific actor methods while passing through the
rest, similar to gym wrappers
"""
def __init__(self, actor):
super().__init__(*actor.get_spaces())
... | 27.413793 | 75 | 0.709434 | 102 | 795 | 5.196078 | 0.431373 | 0.135849 | 0.141509 | 0.067925 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.206289 | 795 | 28 | 76 | 28.392857 | 0.839937 | 0.163522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.066667 | 0.333333 | 0.866667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
dd9d65c0b2d12ecb340ef6dba5a5cc0f64640c9e | 2,510 | py | Python | bug_tracker_v2/tracker/filters.py | ViMonks/bug_tracker_django_fullstack | 773fddcb9e99c8e0a8418ae92f2a2f23c22749e1 | [
"MIT"
] | null | null | null | bug_tracker_v2/tracker/filters.py | ViMonks/bug_tracker_django_fullstack | 773fddcb9e99c8e0a8418ae92f2a2f23c22749e1 | [
"MIT"
] | null | null | null | bug_tracker_v2/tracker/filters.py | ViMonks/bug_tracker_django_fullstack | 773fddcb9e99c8e0a8418ae92f2a2f23c22749e1 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
import django_filters
from .models import Ticket, Project, Team
from django.forms import DateInput
User = get_user_model()
class TicketFilter(django_filters.FilterSet):
# STATUS_CHOICES = (
# ('open', 'Open'),
# ('assigned', 'Assigned'),
# ('i... | 58.372093 | 212 | 0.757371 | 306 | 2,510 | 5.918301 | 0.24183 | 0.122032 | 0.056322 | 0.089453 | 0.671452 | 0.671452 | 0.663722 | 0.607399 | 0.607399 | 0.607399 | 0 | 0 | 0.108765 | 2,510 | 42 | 213 | 59.761905 | 0.809566 | 0.067331 | 0 | 0.148148 | 0 | 0 | 0.116538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148148 | 0 | 0.814815 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
06b3fff75eadbc2a1ad78f51282e05b97e4cfc5f | 1,764 | py | Python | CAP3-Functions/thinkpythonEX3.py | falble/mythinkpython2 | 25de15c8657f32a8f85189d9cb0588c816e9e7d3 | [
"Apache-2.0"
] | 1 | 2020-11-20T16:28:32.000Z | 2020-11-20T16:28:32.000Z | CAP3-Functions/thinkpythonEX3.py | falble/mythinkpython2 | 25de15c8657f32a8f85189d9cb0588c816e9e7d3 | [
"Apache-2.0"
] | null | null | null | CAP3-Functions/thinkpythonEX3.py | falble/mythinkpython2 | 25de15c8657f32a8f85189d9cb0588c816e9e7d3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 9 19:48:15 2019
@author: Utente
"""
#Exercises Chapter 3
#3.2 do_four
def do_twice(func, arg):
func(arg)
func(arg)
def print_twice(arg):
print(arg)
print(arg)
def do_four(func, arg):
do_twice(func, arg... | 15.076923 | 52 | 0.561791 | 245 | 1,764 | 3.75102 | 0.204082 | 0.121872 | 0.083787 | 0.104461 | 0.116431 | 0.045702 | 0.045702 | 0.045702 | 0 | 0 | 0 | 0.022436 | 0.292517 | 1,764 | 116 | 53 | 15.206897 | 0.713942 | 0.080499 | 0 | 0.359375 | 0 | 0 | 0.040559 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0 | 0.375 | 0.71875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
06ecb83781bb61c11e01be77718a1aeb28fb280a | 8,264 | py | Python | long_tests/test_constrained_conjugate_gradients.py | ComputationalMechanics/ContactMechanics | c734edeae83f5b3369fd9a2bd1c4fc7d00e382f3 | [
"MIT"
] | 7 | 2020-06-03T20:01:42.000Z | 2021-03-03T09:24:37.000Z | long_tests/test_constrained_conjugate_gradients.py | ComputationalMechanics/ContactMechanics | c734edeae83f5b3369fd9a2bd1c4fc7d00e382f3 | [
"MIT"
] | 19 | 2020-06-02T13:02:18.000Z | 2021-03-19T09:48:12.000Z | long_tests/test_constrained_conjugate_gradients.py | ComputationalMechanics/ContactMechanics | c734edeae83f5b3369fd9a2bd1c4fc7d00e382f3 | [
"MIT"
] | 1 | 2021-09-10T22:20:41.000Z | 2021-09-10T22:20:41.000Z | from SurfaceTopography import make_sphere
import ContactMechanics as Solid
import numpy as np
import scipy.optimize as optim
from NuMPI.Optimization import ccg_without_restart, ccg_with_restart
import pytest
from NuMPI import MPI
pytestmark = pytest.mark.skipif(MPI.COMM_WORLD.Get_size() > 1,
... | 41.32 | 86 | 0.54562 | 870 | 8,264 | 4.952874 | 0.148276 | 0.024136 | 0.038292 | 0.080065 | 0.811557 | 0.784869 | 0.695057 | 0.672082 | 0.617545 | 0.554885 | 0 | 0.01432 | 0.290174 | 8,264 | 199 | 87 | 41.527638 | 0.720252 | 0.026864 | 0 | 0.473333 | 0 | 0 | 0.013012 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.013333 | false | 0 | 0.046667 | 0 | 0.06 | 0.006667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6605a2b78adeca45a2d0793e23aa804ff3b5c505 | 3,535 | py | Python | temboo/core/Library/Microsoft/Translator/GetToken.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Microsoft/Translator/GetToken.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Microsoft/Translator/GetToken.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | # -*- coding: utf-8 -*-
###############################################################################
#
# GetToken
# Retrieves an access token that can be used to authenticate with the Microsoft Translator API.
#
# Python versions 2.6, 2.7, 3.x
#
# Copyright 2014, Temboo Inc.
#
# Licensed under the Apache License, V... | 38.010753 | 175 | 0.685714 | 429 | 3,535 | 5.575758 | 0.370629 | 0.025084 | 0.023411 | 0.043478 | 0.25 | 0.155518 | 0.133779 | 0.112876 | 0.078595 | 0.078595 | 0 | 0.004921 | 0.195191 | 3,535 | 92 | 176 | 38.423913 | 0.835852 | 0.499293 | 0 | 0 | 0 | 0 | 0.054584 | 0.026592 | 0 | 0 | 0 | 0 | 0 | 1 | 0.344828 | false | 0 | 0.172414 | 0.172414 | 0.896552 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
6629618be28e08fac7d951d903379a55b389d3b4 | 3,242 | py | Python | NoteBooks/Curso de Python/Python/Paradigmas/Object Oriented Programming/Conceptos_clave.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | 1 | 2021-02-26T13:12:22.000Z | 2021-02-26T13:12:22.000Z | NoteBooks/Curso de Python/Python/Paradigmas/Object Oriented Programming/Conceptos_clave.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | null | null | null | NoteBooks/Curso de Python/Python/Paradigmas/Object Oriented Programming/Conceptos_clave.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | null | null | null | '''
Tipo: Concepto, Ejercicio, Pregunta...
Fuente: libro, curso, ...
Este chunk tiene como propósito revisar cocneptos fundamentales.
Variable de isntancia
Variable de clase
Una diferencia importante entre clase e instancia e sla forma de usarse, están fuera del constructor __init__()
Método de Instancias
Método ... | 25.131783 | 138 | 0.670882 | 414 | 3,242 | 5.637681 | 0.442029 | 0.027421 | 0.022279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011315 | 0.209439 | 3,242 | 129 | 139 | 25.131783 | 0.825985 | 0.701727 | 0 | 0 | 0 | 0 | 0.089247 | 0 | 0 | 0 | 0 | 0.046512 | 0 | 1 | 0.241379 | false | 0 | 0 | 0.034483 | 0.413793 | 0.241379 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6630d9ac76ef4eb179b89352d9a06e753d7e877d | 545 | py | Python | tiles_generator.py | torquecoder/ChessVista | 722afe39ae4d3cb38d83904a333b541eaba3a6ea | [
"MIT"
] | null | null | null | tiles_generator.py | torquecoder/ChessVista | 722afe39ae4d3cb38d83904a333b541eaba3a6ea | [
"MIT"
] | null | null | null | tiles_generator.py | torquecoder/ChessVista | 722afe39ae4d3cb38d83904a333b541eaba3a6ea | [
"MIT"
] | null | null | null | import chess_board_recognizer
import os
import dataset_organizer
# Generating tiles for training
for image_name in os.listdir("training_chessboards"):
chess_board_recognizer.generateTileset(image_name, "training_chessboards", "training_tiles")
dataset_organizer.organize("train_data", "training_tiles")
# Generatin... | 38.928571 | 96 | 0.831193 | 67 | 545 | 6.41791 | 0.328358 | 0.083721 | 0.139535 | 0.065116 | 0.362791 | 0.362791 | 0.255814 | 0 | 0 | 0 | 0 | 0 | 0.080734 | 545 | 13 | 97 | 41.923077 | 0.858283 | 0.106422 | 0 | 0 | 1 | 0 | 0.311983 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
6632a9eff62780e3018c5b29a731bbc480fcf73d | 5,518 | py | Python | ooobuild/lo/awt/grid/x_grid_column.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/awt/grid/x_grid_column.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/awt/grid/x_grid_column.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... | 37.794521 | 246 | 0.685031 | 714 | 5,518 | 5.221289 | 0.37535 | 0.038627 | 0.014753 | 0.013949 | 0.108369 | 0.070547 | 0.070547 | 0 | 0 | 0 | 0 | 0.017387 | 0.249547 | 5,518 | 145 | 247 | 38.055172 | 0.882879 | 0.5917 | 0 | 0.333333 | 0 | 0 | 0.111176 | 0.099534 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.153846 | 0 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6633b229ea50c21dbdd245f31d534f2fe0e53414 | 5,834 | py | Python | tests/test_filter.py | duruyi/pycasbin | a16bfaa669c37ac1598684e36b0319430ab749e5 | [
"Apache-2.0"
] | null | null | null | tests/test_filter.py | duruyi/pycasbin | a16bfaa669c37ac1598684e36b0319430ab749e5 | [
"Apache-2.0"
] | null | null | null | tests/test_filter.py | duruyi/pycasbin | a16bfaa669c37ac1598684e36b0319430ab749e5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The casbin Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 37.63871 | 83 | 0.644155 | 657 | 5,834 | 5.525114 | 0.200913 | 0.048485 | 0.057851 | 0.073278 | 0.740771 | 0.715427 | 0.711295 | 0.663085 | 0.57741 | 0.57741 | 0 | 0.008794 | 0.239801 | 5,834 | 154 | 84 | 37.883117 | 0.809696 | 0.101817 | 0 | 0.675439 | 0 | 0 | 0.212823 | 0.079809 | 0 | 0 | 0 | 0 | 0.149123 | 1 | 0.070175 | false | 0 | 0.026316 | 0 | 0.131579 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6638ae9794518d29c0857e6982654a2a1b05c369 | 3,239 | py | Python | pysnmp/IANA-PWE3-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/IANA-PWE3-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/IANA-PWE3-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module IANA-PWE3-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/IANA-PWE3-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:30:09 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 201... | 98.151515 | 574 | 0.736338 | 334 | 3,239 | 7.131737 | 0.473054 | 0.057935 | 0.013854 | 0.065491 | 0.322418 | 0.239295 | 0.234257 | 0.234257 | 0.234257 | 0.144416 | 0 | 0.083333 | 0.096017 | 3,239 | 32 | 575 | 101.21875 | 0.730191 | 0.098796 | 0 | 0.136364 | 0 | 0 | 0.295876 | 0.023711 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.772727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6652a0863985d73afb712246d97796fd54eb4c1a | 6,813 | py | Python | gffutils/test/expected.py | aswarren/gffutils | 19ec9167b04557cc228cec7d92a78bee9d6d15d0 | [
"MIT"
] | 171 | 2015-01-15T16:12:29.000Z | 2022-03-14T00:38:03.000Z | gffutils/test/expected.py | aswarren/gffutils | 19ec9167b04557cc228cec7d92a78bee9d6d15d0 | [
"MIT"
] | 124 | 2015-01-09T20:21:45.000Z | 2022-03-17T15:45:35.000Z | gffutils/test/expected.py | aswarren/gffutils | 19ec9167b04557cc228cec7d92a78bee9d6d15d0 | [
"MIT"
] | 60 | 2015-04-15T13:25:51.000Z | 2021-12-16T13:44:41.000Z | # expected data for tests using FBgn0031208.gff and FBgn0031208.gtf files
# list the children and their expected first-order parents for the GFF test file.
GFF_parent_check_level_1 = {'FBtr0300690':['FBgn0031208'],
'FBtr0300689':['FBgn0031208'],
'CG11023:1':['FB... | 53.645669 | 93 | 0.420666 | 526 | 6,813 | 5.18251 | 0.161597 | 0.035216 | 0.028247 | 0.037417 | 0.41526 | 0.218269 | 0.115187 | 0.043287 | 0 | 0 | 0 | 0.303893 | 0.43828 | 6,813 | 126 | 94 | 54.071429 | 0.408414 | 0.041098 | 0 | 0.108108 | 0 | 0 | 0.417011 | 0.224981 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b07e44a4d5538f9ef1412e0218121f3902309fda | 404 | py | Python | dmb/modeling/__init__.py | jiaw-z/DenseMatchingBenchmark | 177c56ca1952f54d28e6073afa2c16981113a2af | [
"MIT"
] | 160 | 2019-11-16T13:59:21.000Z | 2022-03-28T07:52:59.000Z | dmb/modeling/__init__.py | jiaw-z/DenseMatchingBenchmark | 177c56ca1952f54d28e6073afa2c16981113a2af | [
"MIT"
] | 22 | 2019-11-22T02:14:18.000Z | 2022-01-24T10:16:14.000Z | dmb/modeling/__init__.py | jiaw-z/DenseMatchingBenchmark | 177c56ca1952f54d28e6073afa2c16981113a2af | [
"MIT"
] | 38 | 2019-12-27T14:01:01.000Z | 2022-03-12T11:40:11.000Z | from .flow.models import _META_ARCHITECTURES as _FLOW_META_ARCHITECTURES
from .stereo.models import _META_ARCHITECTURES as _STEREO_META_ARCHITECTURES
_META_ARCHITECTURES = dict()
_META_ARCHITECTURES.update(_FLOW_META_ARCHITECTURES)
_META_ARCHITECTURES.update(_STEREO_META_ARCHITECTURES)
def build_model(cfg):
met... | 31.076923 | 76 | 0.85396 | 51 | 404 | 6.215686 | 0.333333 | 0.536278 | 0.100946 | 0.182965 | 0.195584 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089109 | 404 | 12 | 77 | 33.666667 | 0.861413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b08e4cdc5897d61e76d27267edee5c12b035f60f | 347 | py | Python | fasttrips/Examples/Springfield/configs/C/config_ft.py | janzill/fast-trips | a0f82849196894f1695e6400698a5fd16431f674 | [
"Apache-2.0"
] | 21 | 2017-11-19T03:21:48.000Z | 2021-11-25T09:16:33.000Z | fasttrips/Examples/Springfield/configs/C/config_ft.py | MetropolitanTransportationCommission/transit-assignment | 02597df56ed152e9993374ba0502d0de444da234 | [
"Apache-2.0"
] | 95 | 2017-08-23T22:04:03.000Z | 2021-07-13T05:32:18.000Z | fasttrips/Examples/Springfield/configs/C/config_ft.py | MetropolitanTransportationCommission/transit-assignment | 02597df56ed152e9993374ba0502d0de444da234 | [
"Apache-2.0"
] | 12 | 2017-10-09T23:23:13.000Z | 2021-11-25T09:16:50.000Z |
def user_class(row_series):
"""
Defines the user class for this trip list.
This function takes a single argument, the pandas.Series with person, household and
trip_list attributes, and returns a user class string.
"""
# print row_series
if row_series["hh_id"] == "simpson":
return "... | 28.916667 | 87 | 0.674352 | 49 | 347 | 4.632653 | 0.653061 | 0.118943 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242075 | 347 | 12 | 88 | 28.916667 | 0.863118 | 0.576369 | 0 | 0 | 0 | 0 | 0.195122 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b08e8deaf7998ec3f4f946c6bb89a5b4a6ab5e2a | 2,242 | py | Python | store/migrations/0003_auto_20200419_1852.py | enviousoner1166/appstore | c9ead52476035f891264de53ffe21453cde9348d | [
"MIT"
] | 1 | 2021-03-05T13:17:35.000Z | 2021-03-05T13:17:35.000Z | store/migrations/0003_auto_20200419_1852.py | enviousoner1166/appstore | c9ead52476035f891264de53ffe21453cde9348d | [
"MIT"
] | null | null | null | store/migrations/0003_auto_20200419_1852.py | enviousoner1166/appstore | c9ead52476035f891264de53ffe21453cde9348d | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-04-19 18:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('store', '0002_publisher'),
]
operations = [
migrations.AddField(
model_name='app',
... | 32.492754 | 136 | 0.56512 | 213 | 2,242 | 5.793427 | 0.300469 | 0.13128 | 0.167747 | 0.196921 | 0.606159 | 0.580227 | 0.388979 | 0.388979 | 0.388979 | 0.095624 | 0 | 0.022179 | 0.316236 | 2,242 | 68 | 137 | 32.970588 | 0.782779 | 0.020071 | 0 | 0.612903 | 1 | 0 | 0.117084 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.080645 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0911bf21fdb8cecdfcf2770701dc7197588b2ea | 317 | py | Python | 3-Python-Advanced (May 2021)/05-Functions/02_Exercises/01-Even-Numbers.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 3-Python-Advanced (May 2021)/05-Functions/02_Exercises/01-Even-Numbers.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 3-Python-Advanced (May 2021)/05-Functions/02_Exercises/01-Even-Numbers.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | # 1. Even Numbers
# Write a program that receives a sequence of numbers (integers), separated by a single space.
# It should print a list of only the even numbers. Use filter().
def filter_even(iters):
return list(filter(lambda x: x % 2 == 0, iters))
nums = map(int, input().split())
print(filter_even(nums))
| 26.416667 | 94 | 0.70347 | 52 | 317 | 4.25 | 0.673077 | 0.099548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011538 | 0.179811 | 317 | 11 | 95 | 28.818182 | 0.838462 | 0.539432 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0.25 | 0.5 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
b09c0f819e33601edc63c9a78f79e89bc5886627 | 1,888 | py | Python | Staging/sandbox2.py | mccolm-robotics/Claver-AI-Assistant | 12b31633b4a45709403ed9599c626e63743318c7 | [
"MIT"
] | 1 | 2020-05-22T18:45:07.000Z | 2020-05-22T18:45:07.000Z | Staging/sandbox2.py | mccolm-robotics/Claver-AI-Assistant | 12b31633b4a45709403ed9599c626e63743318c7 | [
"MIT"
] | null | null | null | Staging/sandbox2.py | mccolm-robotics/Claver-AI-Assistant | 12b31633b4a45709403ed9599c626e63743318c7 | [
"MIT"
] | null | null | null | class Foo:
def __init__(self, id):
self.id = id
def __str__(self):
return 'Foo instance id: {}'.format(self.id)
class Bar:
def __init__(self, id):
self.id = id
def __str__(self):
return 'Bar instance id: {}'.format(self.id)
class Baz:
def __init__(self, id):
... | 22.47619 | 93 | 0.630826 | 282 | 1,888 | 3.978723 | 0.198582 | 0.245989 | 0.187166 | 0.069519 | 0.555258 | 0.480392 | 0.432264 | 0.432264 | 0.285205 | 0.221925 | 0 | 0.013131 | 0.233581 | 1,888 | 83 | 94 | 22.746988 | 0.762267 | 0.31303 | 0 | 0.488372 | 0 | 0 | 0.114833 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.139535 | false | 0 | 0 | 0.069767 | 0.27907 | 0.093023 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b09ce2d002feb3379e86e88aaf999aa361bcd469 | 29,520 | py | Python | GM2AUTOSAR_MM/Properties/positive/models/P1Connected_MDL.py | levilucio/SyVOLT | 7526ec794d21565e3efcc925a7b08ae8db27d46a | [
"MIT"
] | 3 | 2017-06-02T19:26:27.000Z | 2021-06-14T04:25:45.000Z | GM2AUTOSAR_MM/Properties/positive/models/P1Connected_MDL.py | levilucio/SyVOLT | 7526ec794d21565e3efcc925a7b08ae8db27d46a | [
"MIT"
] | 8 | 2016-08-24T07:04:07.000Z | 2017-05-26T16:22:47.000Z | GM2AUTOSAR_MM/Properties/positive/models/P1Connected_MDL.py | levilucio/SyVOLT | 7526ec794d21565e3efcc925a7b08ae8db27d46a | [
"MIT"
] | 1 | 2019-10-31T06:00:23.000Z | 2019-10-31T06:00:23.000Z | """
__P1Connected_MDL.py_____________________________________________________
Automatically generated AToM3 Model File (Do not modify directly)
Author: gehan
Modified: Mon Sep 16 17:32:40 2013
_________________________________________________________________________
"""
from stickylink import *
from widthXfillXdecorat... | 55.698113 | 1,052 | 0.657927 | 3,823 | 29,520 | 4.818206 | 0.057808 | 0.033388 | 0.014821 | 0.027524 | 0.717535 | 0.637134 | 0.569815 | 0.550489 | 0.521173 | 0.499023 | 0 | 0.033195 | 0.141768 | 29,520 | 529 | 1,053 | 55.803403 | 0.693862 | 0.090989 | 0 | 0.184049 | 1 | 0.110429 | 0.201489 | 0.069657 | 0 | 0 | 0 | 0 | 0 | 1 | 0.003067 | false | 0 | 0.09816 | 0 | 0.101227 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b09eb1730d5762c1bbc6722aad64f6fedbe56656 | 577 | py | Python | eod/fundamental_economic_data/economic_events_data_api/economic_events_data.py | gereon/eod-data | 4286a03cc08bc8b5dc42ebae0bb8eb22bdfa3230 | [
"Apache-2.0"
] | 19 | 2021-09-18T11:31:45.000Z | 2022-03-15T20:03:52.000Z | eod/fundamental_economic_data/economic_events_data_api/economic_events_data.py | gereon/eod-data | 4286a03cc08bc8b5dc42ebae0bb8eb22bdfa3230 | [
"Apache-2.0"
] | 2 | 2022-02-18T23:37:48.000Z | 2022-03-01T18:14:06.000Z | eod/fundamental_economic_data/economic_events_data_api/economic_events_data.py | gereon/eod-data | 4286a03cc08bc8b5dc42ebae0bb8eb22bdfa3230 | [
"Apache-2.0"
] | 8 | 2021-09-13T16:49:52.000Z | 2022-03-31T21:09:44.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 4 16:28:22 2022
@author: lauta
"""
from eod.request_handler_class import RequestHandler
class EconomicEventsData(RequestHandler):
def __init__(self, api_key:str, timeout:int):
# base URL's of the API
self.URL_ECONOMIC_EVENT_DATA = 'https://eodhistor... | 32.055556 | 91 | 0.701906 | 76 | 577 | 5.026316 | 0.644737 | 0.031414 | 0.078534 | 0.104712 | 0.125654 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025478 | 0.183709 | 577 | 18 | 92 | 32.055556 | 0.785563 | 0.166378 | 0 | 0 | 0 | 0 | 0.105708 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b09ec5a50499dc25f03f9923941e0a467c11bd13 | 1,453 | py | Python | workspacemanager/test/setuptest.py | hayj/WorkspaceManager | 81a9b7fdb5b532ffed75742090a620447ee614eb | [
"MIT"
] | 3 | 2018-12-03T22:50:35.000Z | 2019-06-18T10:56:20.000Z | workspacemanager/test/setuptest.py | hayj/WorkspaceManager | 81a9b7fdb5b532ffed75742090a620447ee614eb | [
"MIT"
] | null | null | null | workspacemanager/test/setuptest.py | hayj/WorkspaceManager | 81a9b7fdb5b532ffed75742090a620447ee614eb | [
"MIT"
] | null | null | null | # coding: utf-8
import unittest
import doctest
import os
from workspacemanager import setup
from workspacemanager import generateSetup
from workspacemanager.utils import *
from shutil import *
from workspacemanager.test.utils import *
# The level allow the unit test execution to choose only the top level test
min = ... | 25.946429 | 101 | 0.623538 | 158 | 1,453 | 5.64557 | 0.474684 | 0.089686 | 0.100897 | 0.073991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008712 | 0.289057 | 1,453 | 55 | 102 | 26.418182 | 0.854792 | 0.162423 | 0 | 0.09375 | 1 | 0 | 0.059167 | 0.02 | 0 | 0 | 0 | 0 | 0.15625 | 1 | 0.09375 | false | 0.09375 | 0.25 | 0 | 0.40625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b0a338a5f1a73271ed34d25f1ee73b316debec21 | 3,754 | py | Python | bundle.py | cmakler/kgjs | a29d194cfbfe3dcb0407b5281a34dd0ddd42bf68 | [
"MIT"
] | 20 | 2019-03-12T12:54:04.000Z | 2022-01-27T01:24:07.000Z | bundle.py | cmakler/kgjs | a29d194cfbfe3dcb0407b5281a34dd0ddd42bf68 | [
"MIT"
] | 5 | 2017-07-20T17:16:17.000Z | 2022-02-26T04:07:44.000Z | bundle.py | cmakler/kgjs | a29d194cfbfe3dcb0407b5281a34dd0ddd42bf68 | [
"MIT"
] | 3 | 2019-10-10T03:39:14.000Z | 2021-12-13T00:45:46.000Z | import json
import codecs
__author__ = 'cmakler'
js_directories = [
'build/bundled/',
'docs/js/',
'docs/playground/code/',
'../bh-textbook/code/',
'../core-interactives/code/',
'../econgraphs/static/js/'
]
js_local_directories = [
'build/bundled/',
'docs/js/',
'docs/playground/cod... | 25.712329 | 88 | 0.499201 | 405 | 3,754 | 4.48642 | 0.165432 | 0.096863 | 0.070446 | 0.088057 | 0.731976 | 0.711062 | 0.69235 | 0.665933 | 0.623005 | 0.571271 | 0 | 0.009109 | 0.327384 | 3,754 | 145 | 89 | 25.889655 | 0.710495 | 0 | 0 | 0.398551 | 0 | 0 | 0.428343 | 0.224028 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.014493 | null | null | 0.014493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0a9014475c08fce9f952140596ffecf867a6894 | 2,475 | py | Python | jump_bot/jumpbot/settings.py | beatyou/wechat_jump_game | ba1d1b88eacf9edd287c8418a753aa8b4c842945 | [
"Apache-2.0"
] | 17,238 | 2017-12-29T02:19:57.000Z | 2022-03-30T14:45:23.000Z | jump_bot/jumpbot/settings.py | lmtsunnie/wechat_jump_game | 143c35893ff0f5ddd07348a4b4c55ccd4e8165fd | [
"MIT"
] | 1,175 | 2017-12-29T04:54:10.000Z | 2022-03-11T23:17:36.000Z | jump_bot/jumpbot/settings.py | lmtsunnie/wechat_jump_game | 143c35893ff0f5ddd07348a4b4c55ccd4e8165fd | [
"MIT"
] | 5,918 | 2017-12-29T03:08:01.000Z | 2022-03-31T14:51:05.000Z | # Wechat Jump Bot (iOS)
# ----------------------------------------------------------------------------
import os
CURRENT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
PROJECT_ROOT = os.path.dirname(CURRENT_DIR)
PROJECT_DIR = "jumpbot/"
# -----------------------------------------------------------... | 30.182927 | 84 | 0.528889 | 296 | 2,475 | 4.040541 | 0.260135 | 0.263378 | 0.187291 | 0.075251 | 0.682274 | 0.532609 | 0.398829 | 0.314381 | 0.314381 | 0.314381 | 0 | 0.068277 | 0.230707 | 2,475 | 81 | 85 | 30.555556 | 0.559874 | 0.150303 | 0 | 0.310345 | 0 | 0 | 0.286055 | 0.052531 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0 | 0.017241 | 0 | 0.051724 | 0.017241 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0ce3fb606b60c976a97a3d7ed3337be7ed1e9e1 | 2,037 | py | Python | src/result/settings.py | fteychene/survey-server | c7c74e6229fdc7e8392fdf1aef570814131c2104 | [
"Apache-2.0"
] | null | null | null | src/result/settings.py | fteychene/survey-server | c7c74e6229fdc7e8392fdf1aef570814131c2104 | [
"Apache-2.0"
] | null | null | null | src/result/settings.py | fteychene/survey-server | c7c74e6229fdc7e8392fdf1aef570814131c2104 | [
"Apache-2.0"
] | null | null | null | '''
Created on Sep 21, 2015
@author: fteychene
'''
from result import hooks
class ResultConfiguration(object):
@staticmethod
def hooks():
return hooks.register
@staticmethod
def domain():
return {
'url': 'survey/<regex("[a-f0-9]{24}"):survey>/results',
'schem... | 27.16 | 67 | 0.297005 | 103 | 2,037 | 5.825243 | 0.572816 | 0.075 | 0.046667 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013873 | 0.575356 | 2,037 | 74 | 68 | 27.527027 | 0.679769 | 0.021109 | 0 | 0.328125 | 0 | 0 | 0.20141 | 0.022659 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046875 | true | 0 | 0.015625 | 0.046875 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0dff4e69c3bd7e000971db9965a685b09734712 | 153 | py | Python | 051 - 100/ex051.py | SocrammBR/Desafios-Python-CursoEmVideo | bd2454a24134500343ece91b936c169d3a66f89e | [
"MIT"
] | null | null | null | 051 - 100/ex051.py | SocrammBR/Desafios-Python-CursoEmVideo | bd2454a24134500343ece91b936c169d3a66f89e | [
"MIT"
] | null | null | null | 051 - 100/ex051.py | SocrammBR/Desafios-Python-CursoEmVideo | bd2454a24134500343ece91b936c169d3a66f89e | [
"MIT"
] | null | null | null | pt = int(input('Primeiro termo: '))
rz = int(input('Razão: '))
for c in range (pt, (pt + (10-1) * rz)+rz, rz):
print(f'{c}', end=" → ")
print('ACABOU') | 30.6 | 47 | 0.542484 | 27 | 153 | 3.111111 | 0.666667 | 0.190476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023622 | 0.169935 | 153 | 5 | 48 | 30.6 | 0.629921 | 0 | 0 | 0 | 0 | 0 | 0.227273 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0e017985ddca231d43a737d6e517583fd46747b | 516 | py | Python | Utils.py | statisticsnorway/raml-to-umlet-diagram | b8342ba78c00bbce44c27809f1cb1d9e2ed9a6cb | [
"Apache-2.0"
] | null | null | null | Utils.py | statisticsnorway/raml-to-umlet-diagram | b8342ba78c00bbce44c27809f1cb1d9e2ed9a6cb | [
"Apache-2.0"
] | null | null | null | Utils.py | statisticsnorway/raml-to-umlet-diagram | b8342ba78c00bbce44c27809f1cb1d9e2ed9a6cb | [
"Apache-2.0"
] | null | null | null | import pprint
import xml.etree.ElementTree as ET
class Utils():
def printDict(self, dict):
pp = pprint.PrettyPrinter(indent=4, compact=False)
pp.pprint(dict)
def printETree(self, eTree):
#print(ET.tostring(eTree, encoding='utf8', method='xml'))
print(ET.tostring(eTree, encoding... | 27.157895 | 67 | 0.606589 | 61 | 516 | 5.131148 | 0.57377 | 0.051118 | 0.095847 | 0.127796 | 0.178914 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005222 | 0.257752 | 516 | 18 | 68 | 28.666667 | 0.81201 | 0.151163 | 0 | 0 | 0 | 0 | 0.027523 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.153846 | 0 | 0.461538 | 0.615385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
b0f109b2cc1a8d43d7cddf91f25602eaa7292c71 | 1,032 | py | Python | Pre-Interview Challenges/string_sum.py | Wryhder/solve-with-code | 0fd1ef4f1c46ad89d68a667b3aaa6b98c69da266 | [
"MIT"
] | null | null | null | Pre-Interview Challenges/string_sum.py | Wryhder/solve-with-code | 0fd1ef4f1c46ad89d68a667b3aaa6b98c69da266 | [
"MIT"
] | null | null | null | Pre-Interview Challenges/string_sum.py | Wryhder/solve-with-code | 0fd1ef4f1c46ad89d68a667b3aaa6b98c69da266 | [
"MIT"
] | null | null | null | # Andela
"""
Problem Statement
Write a program which accepts a sequence of comma-separated numbers from console and generate the string sum of the digits and the total sum in a list. Suppose the following input is supplied to the program: 34,67,55,33,12,98
Then, the output should be: [“3+4+6+7+5+5+3+3+1+2+9+8”, 56] ... | 25.8 | 226 | 0.598837 | 156 | 1,032 | 3.852564 | 0.461538 | 0.134775 | 0.053245 | 0.0599 | 0.289517 | 0.289517 | 0.289517 | 0.289517 | 0.146423 | 0.146423 | 0 | 0.038674 | 0.29845 | 1,032 | 39 | 227 | 26.461538 | 0.791436 | 0.005814 | 0 | 0.105263 | 1 | 0 | 0.042279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7c050b5dddc58a1b99c66ac8c5e5022b1b5bf3c0 | 4,422 | py | Python | packgen.py | Boundarybreaker/SwingChain | 6314b759303e1d9a08dd76a547e3cc05d33ab98a | [
"MIT"
] | null | null | null | packgen.py | Boundarybreaker/SwingChain | 6314b759303e1d9a08dd76a547e3cc05d33ab98a | [
"MIT"
] | null | null | null | packgen.py | Boundarybreaker/SwingChain | 6314b759303e1d9a08dd76a547e3cc05d33ab98a | [
"MIT"
] | null | null | null | # Generator used for all the Skinned Lanterns lantern variants!
lanterns = ["pufferfish", "zombie", "creeper", "skeleton", "wither_skeleton",
"bee", "jack_o_lantern", "ghost", "inky", "pinky", "blinky", "clyde", "pacman",
"paper_white", "paper_yellow", "paper_orange", "paper_blue", "paper_light_blue",
"paper_cyan", "p... | 50.827586 | 114 | 0.675486 | 478 | 4,422 | 6.046025 | 0.1841 | 0.069204 | 0.111419 | 0.13045 | 0.721107 | 0.673702 | 0.629412 | 0.575779 | 0.56263 | 0.279585 | 0 | 0.004697 | 0.133424 | 4,422 | 86 | 115 | 51.418605 | 0.749478 | 0.013795 | 0 | 0.090909 | 0 | 0.311688 | 0.77816 | 0.376233 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
9fec25bbe3e156e4bf72617f64c2dc32ae326fb6 | 387 | py | Python | recruit_app/ia/forms.py | tyler274/Recruitment-App | 439117cfc3e7ccc01064c688f295b01a542761fb | [
"BSD-3-Clause"
] | 8 | 2015-04-08T23:48:38.000Z | 2016-10-03T01:25:13.000Z | recruit_app/ia/forms.py | tyler274/Recruitment-App | 439117cfc3e7ccc01064c688f295b01a542761fb | [
"BSD-3-Clause"
] | 42 | 2015-03-31T14:48:49.000Z | 2015-11-26T18:18:46.000Z | recruit_app/ia/forms.py | tyler274/Recruitment-App | 439117cfc3e7ccc01064c688f295b01a542761fb | [
"BSD-3-Clause"
] | 5 | 2015-04-08T23:50:06.000Z | 2020-09-15T15:14:35.000Z | from flask_wtf import Form
from wtforms import StringField, TextAreaField, SubmitField
from wtforms.validators import DataRequired
class SubmitIssueForm(Form):
subject = StringField("Subject", validators=[DataRequired()])
body = TextAreaField("Body", validators=[DataRequired()])
logs = TextAreaField("Appl... | 32.25 | 65 | 0.764858 | 39 | 387 | 7.564103 | 0.538462 | 0.074576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134367 | 387 | 11 | 66 | 35.181818 | 0.880597 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.375 | 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 | 1 | 0 | 1 | 0 | 0 | 2 |
9ffbfd1f24433b6989ac05fe11fdfaf1c77bd016 | 1,114 | py | Python | db_create.py | yesan/openvpn-admin-ui | 0c054eb204421d62a89a2bbb8c8003eb9cf8b8d6 | [
"Apache-2.0"
] | 39 | 2018-07-18T09:11:34.000Z | 2022-03-07T13:32:00.000Z | db_create.py | yesan/openvpn-admin-ui | 0c054eb204421d62a89a2bbb8c8003eb9cf8b8d6 | [
"Apache-2.0"
] | 2 | 2018-09-07T08:58:58.000Z | 2022-01-23T22:45:11.000Z | db_create.py | sibosend/openvpn-admin-ui | 0c054eb204421d62a89a2bbb8c8003eb9cf8b8d6 | [
"Apache-2.0"
] | 16 | 2019-04-25T12:48:05.000Z | 2021-12-02T00:14:55.000Z | #!haoliVPNEnv/bin/python
from migrate.versioning import api
from application import db,create_app
import os
import subprocess
import sys
from firstApp.models import Role
app=create_app()
app.app_context().push()
db.create_all()
Role.insert_role()
if not os.path.exists(app.config['SQLALCHEMY_MIGRATE_REPO']):
api.c... | 30.108108 | 153 | 0.731598 | 145 | 1,114 | 5.455172 | 0.42069 | 0.079646 | 0.168142 | 0.164349 | 0.316056 | 0.240202 | 0.19469 | 0.19469 | 0.19469 | 0.19469 | 0 | 0.004149 | 0.13465 | 1,114 | 36 | 154 | 30.944444 | 0.81639 | 0.406643 | 0 | 0 | 0 | 0 | 0.279503 | 0.25 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
b0014c6dbbf9901708a16da7b6b7ae2f275ce80d | 662 | py | Python | pyinsteon/handlers/to_device/enter_unlinking_mode.py | michaeldavie/pyinsteon | e5b2e2910f4eff1474f158051fa71f75c2077dd6 | [
"MIT"
] | 15 | 2020-07-08T05:29:14.000Z | 2022-03-24T18:56:26.000Z | pyinsteon/handlers/to_device/enter_unlinking_mode.py | michaeldavie/pyinsteon | e5b2e2910f4eff1474f158051fa71f75c2077dd6 | [
"MIT"
] | 107 | 2019-06-03T09:23:02.000Z | 2022-03-31T23:12:38.000Z | pyinsteon/handlers/to_device/enter_unlinking_mode.py | michaeldavie/pyinsteon | e5b2e2910f4eff1474f158051fa71f75c2077dd6 | [
"MIT"
] | 16 | 2019-01-24T01:09:49.000Z | 2022-02-24T03:48:42.000Z | """Get Device Info command handler."""
from ...address import Address
from ...topics import ENTER_UNLINKING_MODE
from .direct_command import DirectCommandHandlerBase
class EnterUnlinkingModeCommand(DirectCommandHandlerBase):
"""Place a device in linking mode command handler."""
def __init__(self, address: Ad... | 36.777778 | 69 | 0.73716 | 74 | 662 | 6.364865 | 0.527027 | 0.089172 | 0.11465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001802 | 0.161631 | 662 | 17 | 70 | 38.941176 | 0.846847 | 0.23565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.375 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
b003bffe8650335acf9f55d3d98ea0154c292c5b | 1,347 | py | Python | test/conftest.py | Stranger6667/Flask-Postmark | 74818a6eb86278094c43235fd0faed9545569b9b | [
"MIT"
] | 6 | 2017-06-10T14:31:35.000Z | 2018-04-15T13:24:32.000Z | test/conftest.py | Stranger6667/Flask-Postmark | 74818a6eb86278094c43235fd0faed9545569b9b | [
"MIT"
] | 18 | 2017-05-12T08:50:18.000Z | 2020-09-01T15:31:34.000Z | test/conftest.py | Stranger6667/Flask-Postmark | 74818a6eb86278094c43235fd0faed9545569b9b | [
"MIT"
] | 1 | 2017-05-21T13:49:04.000Z | 2017-05-21T13:49:04.000Z | import pytest
from flask import Flask, json, request
from flask_postmark import Postmark
@pytest.fixture
def app(server_token, postmark_request):
app = Flask(__name__)
app.config["POSTMARK_SERVER_TOKEN"] = server_token
app.config["JSONIFY_PRETTYPRINT_REGULAR"] = False
postmark = Postmark(app)
de... | 23.631579 | 96 | 0.669636 | 172 | 1,347 | 5.052326 | 0.267442 | 0.063291 | 0.073648 | 0.052934 | 0.069045 | 0.069045 | 0 | 0 | 0 | 0 | 0 | 0.001855 | 0.199703 | 1,347 | 56 | 97 | 24.053571 | 0.804267 | 0 | 0 | 0.2 | 0 | 0 | 0.091314 | 0.035635 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.075 | 0.125 | 0.575 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
b00f1dd12d0a8ca1a614dcf27eedd99eb0f3b32e | 2,148 | py | Python | tests/test_api_network.py | er-vin/ComDaAn | 17f953d2b24953649605f066c6a2278631a9e909 | [
"Apache-2.0"
] | null | null | null | tests/test_api_network.py | er-vin/ComDaAn | 17f953d2b24953649605f066c6a2278631a9e909 | [
"Apache-2.0"
] | 4 | 2019-11-06T14:36:01.000Z | 2021-03-29T15:25:18.000Z | tests/test_api_network.py | er-vin/ComDaAn | 17f953d2b24953649605f066c6a2278631a9e909 | [
"Apache-2.0"
] | null | null | null | from comdaan import parse_issues, parse_mail, parse_repositories
from comdaan import network, Network
import os
PATH_TO_RESOURCES = os.path.join(os.path.dirname(__file__), "resources/")
def test_network_return_type():
repo = PATH_TO_RESOURCES + "repo"
if not os.listdir(repo):
raise Exception("Empty g... | 35.213115 | 88 | 0.717877 | 282 | 2,148 | 5.195035 | 0.216312 | 0.03686 | 0.09215 | 0.076451 | 0.809556 | 0.675768 | 0.675768 | 0.648464 | 0.619113 | 0.619113 | 0 | 0.002762 | 0.157356 | 2,148 | 60 | 89 | 35.8 | 0.80663 | 0 | 0 | 0.604651 | 0 | 0 | 0.211359 | 0 | 0 | 0 | 0 | 0 | 0.186047 | 1 | 0.186047 | false | 0 | 0.069767 | 0 | 0.255814 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b01aa872f5e6c7c2485155ec579855fcc634e0a3 | 1,105 | py | Python | gnome/gnome2/gedit/plugins.symlink/gedit-openfiles/GeditOpenFile.py | icebreaker/dotfiles | 5c3dc7f981069a728cc6b34ae39cd4c2da1122aa | [
"MIT"
] | 4 | 2015-03-17T14:36:49.000Z | 2019-06-10T09:34:35.000Z | gnome/gnome2/gedit/plugins.symlink/gedit-openfiles/GeditOpenFile.py | icebreaker/dotfiles | 5c3dc7f981069a728cc6b34ae39cd4c2da1122aa | [
"MIT"
] | null | null | null | gnome/gnome2/gedit/plugins.symlink/gedit-openfiles/GeditOpenFile.py | icebreaker/dotfiles | 5c3dc7f981069a728cc6b34ae39cd4c2da1122aa | [
"MIT"
] | 1 | 2019-03-01T13:21:55.000Z | 2019-03-01T13:21:55.000Z | from gedit import Plugin
from FileMonitor import FileMonitor
from DBWrapper import DBWrapper
from GeditOpenFileGui import GeditOpenFileGui
from Logger import log
from Config import Config
class GeditOpenFile(Plugin):
DATA_TAG = "GeditOpenFilePlugin"
def __init__(self):
Plugin.__init__(self)
... | 28.333333 | 75 | 0.702262 | 134 | 1,105 | 5.492537 | 0.328358 | 0.081522 | 0.076087 | 0.040761 | 0.084239 | 0.084239 | 0 | 0 | 0 | 0 | 0 | 0.003452 | 0.213575 | 1,105 | 38 | 76 | 29.078947 | 0.843498 | 0.100452 | 0 | 0 | 0 | 0 | 0.019211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.24 | 0.04 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b01dc491fa86382b84a1088bdbfdbe094f6e886b | 1,497 | py | Python | testai_classifier/classifier_pb2_grpc.py | testdotai/classifier-client-python | d63c1406d10f73098eac3c7f0c1dacf4acdde46e | [
"Apache-2.0"
] | 12 | 2019-12-22T01:16:28.000Z | 2022-03-01T00:35:10.000Z | testai_classifier/classifier_pb2_grpc.py | testdotai/classifier-client-python | d63c1406d10f73098eac3c7f0c1dacf4acdde46e | [
"Apache-2.0"
] | 5 | 2020-03-12T20:38:44.000Z | 2021-06-02T01:18:11.000Z | testai_classifier/classifier_pb2_grpc.py | testdotai/classifier-client-python | d63c1406d10f73098eac3c7f0c1dacf4acdde46e | [
"Apache-2.0"
] | 2 | 2020-09-04T08:51:26.000Z | 2022-01-01T17:58:02.000Z | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
import classifier_pb2 as classifier__pb2
class ClassifierStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
... | 31.851064 | 90 | 0.763527 | 149 | 1,497 | 7.395973 | 0.416107 | 0.07078 | 0.08167 | 0.100726 | 0.157895 | 0.157895 | 0.157895 | 0.157895 | 0.110708 | 0.110708 | 0 | 0.004804 | 0.165665 | 1,497 | 46 | 91 | 32.543478 | 0.877502 | 0.189045 | 0 | 0.107143 | 1 | 0 | 0.083893 | 0.02349 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0.107143 | 0.071429 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b039d0bddaa5f9a8fae190fb12bc5246fbcfa10f | 2,400 | py | Python | moff/parser/read_image.py | Tikubonn/moff | 1c363f60959138311068177fca177d0f0dc97380 | [
"MIT"
] | null | null | null | moff/parser/read_image.py | Tikubonn/moff | 1c363f60959138311068177fca177d0f0dc97380 | [
"MIT"
] | null | null | null | moff/parser/read_image.py | Tikubonn/moff | 1c363f60959138311068177fca177d0f0dc97380 | [
"MIT"
] | null | null | null |
from moff.builder import ImageBuilder, ImageAltAdapter, ImageTitleAdapter, ImageLinkAdapter, ImageCaseAdapter, ImageSrcCaseAdapter, ImageSizeCaseAdapter, ImageMediaCaseAdapter, ImageTypeCaseAdapter
from moff.attribute import Srcset, Sizes
from moff.util import read_until, read_whitespace, read_line, read_media_query, ... | 32 | 197 | 0.745 | 290 | 2,400 | 5.968966 | 0.196552 | 0.036395 | 0.062392 | 0.155979 | 0.478336 | 0.478336 | 0.395147 | 0.395147 | 0.366262 | 0.339688 | 0 | 0.008759 | 0.14375 | 2,400 | 74 | 198 | 32.432432 | 0.833577 | 0.065417 | 0 | 0.216216 | 0 | 0 | 0.000448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.243243 | false | 0 | 0.081081 | 0.027027 | 0.594595 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b03d049623baac26deb441964f586638a9374f86 | 8,320 | py | Python | racer.py | nat-chan/BOAT_RACE | f171248ce9363a3af6d8725562900d3b353ffbdb | [
"MIT"
] | null | null | null | racer.py | nat-chan/BOAT_RACE | f171248ce9363a3af6d8725562900d3b353ffbdb | [
"MIT"
] | 1 | 2019-11-24T01:14:10.000Z | 2019-11-24T04:56:29.000Z | racer.py | nat-chan/BOAT_RACE | f171248ce9363a3af6d8725562900d3b353ffbdb | [
"MIT"
] | 2 | 2019-11-24T00:11:39.000Z | 2019-11-24T00:16:19.000Z | #!/usr/bin/env python3
import struct
layout = (
#key ,byte, descriptions
("登番" , 4 , "3415"),
("名前漢字" , 16 , "松井 繁"),
("名前カナ" , 15 , "マツイ シゲル"),
("支部" , 4 , "大阪"),
("級" , ... | 41.393035 | 62 | 0.325481 | 776 | 8,320 | 3.440722 | 0.393041 | 0.058427 | 0.097378 | 0.014981 | 0.075655 | 0.012734 | 0 | 0 | 0 | 0 | 0 | 0.224099 | 0.466346 | 8,320 | 200 | 63 | 41.6 | 0.377027 | 0.016707 | 0 | 0.033149 | 0 | 0 | 0.289384 | 0.005137 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005525 | false | 0.005525 | 0.01105 | 0 | 0.022099 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b05d319137c129f4d609fbc3266074c123b0b121 | 354 | py | Python | md-graph/mdfile.py | barrettotte/md-graph | 3f70e064fa71f906232fb68493aebe137333cca8 | [
"MIT"
] | 1 | 2022-02-15T12:19:13.000Z | 2022-02-15T12:19:13.000Z | md-graph/mdfile.py | barrettotte/md-graph | 3f70e064fa71f906232fb68493aebe137333cca8 | [
"MIT"
] | null | null | null | md-graph/mdfile.py | barrettotte/md-graph | 3f70e064fa71f906232fb68493aebe137333cca8 | [
"MIT"
] | 1 | 2021-09-26T11:17:52.000Z | 2021-09-26T11:17:52.000Z |
class MdFile():
def __init__(self, file_path, base_name, title, mdlinks):
self.uid = 0
self.file_path = file_path
self.base_name = base_name
self.title = title if title else base_name
self.mdlinks = mdlinks
def __str__(self):
return f'{self.uid}: {self.file_pat... | 27.230769 | 76 | 0.624294 | 49 | 354 | 4.183673 | 0.367347 | 0.156098 | 0.17561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003831 | 0.262712 | 354 | 12 | 77 | 29.5 | 0.781609 | 0 | 0 | 0 | 0 | 0 | 0.164306 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0.111111 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
c66648d485cda735f947935ba42b6ee02d483a2c | 990 | py | Python | tests/apps/app1/config/auth.py | coboyoshi/uvicore | 9cfdeeac83000b156fe48f068b4658edaf51c8de | [
"MIT"
] | 11 | 2021-03-22T22:07:49.000Z | 2022-03-08T16:18:33.000Z | tests/apps/app1/config/auth.py | coboyoshi/uvicore | 9cfdeeac83000b156fe48f068b4658edaf51c8de | [
"MIT"
] | 12 | 2021-03-04T05:51:24.000Z | 2021-09-22T05:16:18.000Z | tests/apps/app1/config/auth.py | coboyoshi/uvicore | 9cfdeeac83000b156fe48f068b4658edaf51c8de | [
"MIT"
] | 2 | 2021-03-25T14:49:56.000Z | 2021-11-17T23:20:29.000Z | config = {
# --------------------------------------------------------------------------
# Database Connections
# --------------------------------------------------------------------------
'database': {
'default': 'auth',
'connections': {
# SQLite
# 'auth': {
... | 29.117647 | 80 | 0.264646 | 47 | 990 | 5.510638 | 0.531915 | 0.07722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018315 | 0.448485 | 990 | 33 | 81 | 30 | 0.456044 | 0.374747 | 0 | 0 | 0 | 0 | 0.220564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
c66ab303e4b8b5c14338155fea9dd8e461152247 | 1,401 | py | Python | status/migrations/0002_auto_20200807_2031.py | Ulorewien/covid19-india | 1e44d4b4f01207f4b03d43b075bcbff0735bae19 | [
"MIT"
] | 1 | 2020-11-29T13:17:17.000Z | 2020-11-29T13:17:17.000Z | status/migrations/0002_auto_20200807_2031.py | Ulorewien/covid19-india | 1e44d4b4f01207f4b03d43b075bcbff0735bae19 | [
"MIT"
] | 9 | 2020-06-25T19:03:16.000Z | 2021-07-15T17:15:47.000Z | status/migrations/0002_auto_20200807_2031.py | Ulorewien/covid19-india | 1e44d4b4f01207f4b03d43b075bcbff0735bae19 | [
"MIT"
] | 8 | 2020-06-25T11:15:21.000Z | 2021-10-04T15:43:43.000Z | # Generated by Django 2.2.13 on 2020-08-07 15:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('status', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='StateData',
fields=[
('id'... | 34.170732 | 114 | 0.533191 | 108 | 1,401 | 6.805556 | 0.546296 | 0.257143 | 0.141497 | 0.070748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024313 | 0.324768 | 1,401 | 40 | 115 | 35.025 | 0.752643 | 0.032834 | 0 | 0.147059 | 1 | 0 | 0.133777 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029412 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6977156ce630820b330edb126c34ccc390c5d83 | 396 | py | Python | src/api/error/basic.py | sonlhcsuit/togo | 68e79e1df3ac5b9b8b834a53345028f332abbda8 | [
"MIT"
] | null | null | null | src/api/error/basic.py | sonlhcsuit/togo | 68e79e1df3ac5b9b8b834a53345028f332abbda8 | [
"MIT"
] | null | null | null | src/api/error/basic.py | sonlhcsuit/togo | 68e79e1df3ac5b9b8b834a53345028f332abbda8 | [
"MIT"
] | null | null | null | from werkzeug.exceptions import HTTPException
from src.util import logger
class HTTPError(HTTPException):
def __init__(self, code: int, description: str):
self.code = code
self.description = description
def default_error_handler(error: HTTPError):
logger.error(str(error), exc_info=error)
... | 28.285714 | 78 | 0.734848 | 48 | 396 | 5.916667 | 0.5 | 0.056338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164141 | 396 | 13 | 79 | 30.461538 | 0.858006 | 0 | 0 | 0 | 0 | 0 | 0.040404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.222222 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c69cd4238b2cc19db8c5358eb3788d864ac787f6 | 1,886 | py | Python | metrics.py | SuhasShanbhogue/Sport-Prediction | ed9e1d693be99bfe6bda665866fe2aba97569a0f | [
"MIT"
] | 1 | 2020-12-11T03:00:58.000Z | 2020-12-11T03:00:58.000Z | metrics.py | SuhasShanbhogue/Sport-Prediction | ed9e1d693be99bfe6bda665866fe2aba97569a0f | [
"MIT"
] | null | null | null | metrics.py | SuhasShanbhogue/Sport-Prediction | ed9e1d693be99bfe6bda665866fe2aba97569a0f | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import confusion_matrix
from skl... | 30.918033 | 63 | 0.749205 | 314 | 1,886 | 4.264331 | 0.232484 | 0.048544 | 0.040329 | 0.089619 | 0.250934 | 0.198656 | 0.170276 | 0.170276 | 0.170276 | 0.088125 | 0 | 0.014233 | 0.14316 | 1,886 | 61 | 64 | 30.918033 | 0.814356 | 0 | 0 | 0.075472 | 0 | 0 | 0.08903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.358491 | null | null | 0.169811 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c6b5278f4bab4feaa6421b7cfd1134a5c362d276 | 5,939 | py | Python | ggongsul/membership/migrations/0001_initial.py | blc-cruise/ggongsul-api | 0cdfc09ea75688ffc297bc0c0f08897091896f3e | [
"MIT"
] | 2 | 2021-05-22T07:33:34.000Z | 2021-09-18T04:22:25.000Z | ggongsul/membership/migrations/0001_initial.py | blc-cruise/ggongsul-api | 0cdfc09ea75688ffc297bc0c0f08897091896f3e | [
"MIT"
] | null | null | null | ggongsul/membership/migrations/0001_initial.py | blc-cruise/ggongsul-api | 0cdfc09ea75688ffc297bc0c0f08897091896f3e | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2021-01-10 17:20
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 34.935294 | 109 | 0.388281 | 439 | 5,939 | 5.05467 | 0.291572 | 0.153673 | 0.067598 | 0.067598 | 0.492114 | 0.477693 | 0.438035 | 0.356918 | 0.319063 | 0.2758 | 0 | 0.007986 | 0.51507 | 5,939 | 169 | 110 | 35.142012 | 0.7625 | 0.007577 | 0 | 0.512346 | 1 | 0 | 0.125255 | 0.003904 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018519 | 0 | 0.04321 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6baeb98fe4d72607618df5335df3aa9a5ea4d95 | 375 | py | Python | 01_python/exercices/ex5.py | icecodder/nsi | eeb08932c1aa11f31bbdaae01361a526c5279527 | [
"MIT"
] | 4 | 2021-09-24T16:19:06.000Z | 2021-10-06T16:21:53.000Z | 01_python/exercices/ex5.py | icecodder/nsi | eeb08932c1aa11f31bbdaae01361a526c5279527 | [
"MIT"
] | 1 | 2021-10-06T16:25:25.000Z | 2021-11-28T08:11:14.000Z | 01_python/exercices/ex5.py | icecodder/nsi | eeb08932c1aa11f31bbdaae01361a526c5279527 | [
"MIT"
] | null | null | null | from math import sqrt
def f(a, b):
print(f"{'a':<10}{'b':<10}{'b-a':<10}{'m':<10}{'m²':<15}{'Test m² > a'}")
while b - a > 0.1:
m = (a + b) / 2
print(f"{a:<10}{b:<10}{b-a:<10}{m:<10}{m ** 2:<15}{m ** 2 > a!s}")
if m ** 2 > sqrt(3):
b = m
else:
a = m
... | 19.736842 | 77 | 0.362667 | 72 | 375 | 1.888889 | 0.347222 | 0.088235 | 0.102941 | 0.117647 | 0.279412 | 0.279412 | 0.279412 | 0.279412 | 0.279412 | 0.279412 | 0 | 0.163265 | 0.346667 | 375 | 18 | 78 | 20.833333 | 0.391837 | 0.042667 | 0 | 0 | 0 | 0.166667 | 0.333333 | 0.240896 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.166667 | 0.25 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6bbfca8711c6082de6863c5efbbbcfe325d8d17 | 342 | py | Python | ClassifyMembranes/setup_parallel.py | Rhoana/rhoana | b4027a57451d175ea02c2c7ef472cf9c4e1a0efc | [
"MIT"
] | 26 | 2015-01-08T08:30:10.000Z | 2021-07-08T06:21:35.000Z | ClassifyMembranes/setup_parallel.py | andudu/rhoana | b4027a57451d175ea02c2c7ef472cf9c4e1a0efc | [
"MIT"
] | null | null | null | ClassifyMembranes/setup_parallel.py | andudu/rhoana | b4027a57451d175ea02c2c7ef472cf9c4e1a0efc | [
"MIT"
] | 11 | 2015-01-23T23:30:26.000Z | 2019-02-06T21:56:33.000Z | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy as np
setup(
cmdclass = {'build_ext': build_ext},
ext_modules = [Extension("rf_classify_parallel", ["rf_classify_parallel.pyx"])],
extra_compile_args=['/openmp'],
include_dirs ... | 31.090909 | 84 | 0.751462 | 45 | 342 | 5.444444 | 0.555556 | 0.097959 | 0.146939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134503 | 342 | 11 | 85 | 31.090909 | 0.827703 | 0 | 0 | 0 | 0 | 0 | 0.174927 | 0.069971 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.4 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c6be912b01bc8016f81eb1d37c8741c3a348dcb9 | 2,780 | py | Python | song_generator/song_data.py | gorbulus/song_generator | ba527e7a0151177f794995d0d79fdeffff45b7fb | [
"MIT"
] | null | null | null | song_generator/song_data.py | gorbulus/song_generator | ba527e7a0151177f794995d0d79fdeffff45b7fb | [
"MIT"
] | null | null | null | song_generator/song_data.py | gorbulus/song_generator | ba527e7a0151177f794995d0d79fdeffff45b7fb | [
"MIT"
] | null | null | null | '''
# song_data.py
# William Ponton
# 5.8.21
# Dictionaries and other data structures for use in the Song class
song_data dictionary:
Keys:
- genre
- tempo
- time_signature
- key_signature
- chord_progression
- drum_machines
- instruments
- pedals
- synths
- samplers
'''
# import packages
import random
from collection... | 40.289855 | 413 | 0.710791 | 395 | 2,780 | 4.926582 | 0.493671 | 0.055498 | 0.061665 | 0.014388 | 0.018499 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01599 | 0.122662 | 2,780 | 68 | 414 | 40.882353 | 0.781878 | 0.17554 | 0 | 0 | 0 | 0 | 0.613208 | 0 | 0 | 0 | 0 | 0.029412 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.148148 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6c1049d0dac03c34d9a49593fb2d8ae72a380b7 | 459 | py | Python | memoirs.py | bunchesofdonald/sixwordmemoirbot | 0b52c3ee504b8deb953332f4a0a99066e22dfcea | [
"MIT"
] | null | null | null | memoirs.py | bunchesofdonald/sixwordmemoirbot | 0b52c3ee504b8deb953332f4a0a99066e22dfcea | [
"MIT"
] | null | null | null | memoirs.py | bunchesofdonald/sixwordmemoirbot | 0b52c3ee504b8deb953332f4a0a99066e22dfcea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import re
from markov import markov, generate_text
with open('memoirs.json') as infile:
memoirs = json.load(infile)
memoirs = [re.sub('[",\.!?-]+', '', m).lower() for m in memoirs]
chain = None
for m in memoirs:
chain = markov(m, chain)
text = ... | 19.956522 | 68 | 0.642702 | 67 | 459 | 4.358209 | 0.507463 | 0.123288 | 0.041096 | 0.089041 | 0.123288 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005333 | 0.183007 | 459 | 22 | 69 | 20.863636 | 0.773333 | 0.091503 | 0 | 0.153846 | 1 | 0 | 0.057831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.230769 | null | null | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6c8f681f33bdd7eef0b3fe219495ba9ea9fbb15 | 395 | py | Python | ASE20_data/evaluation/baselines/b3.py | henryhchchc/MockSniffer | 6d6e845616004ca77ce6d73709cff94a1a32c6c5 | [
"MIT"
] | 4 | 2020-09-03T13:20:13.000Z | 2021-07-14T08:04:26.000Z | ASE20_data/evaluation/baselines/b3.py | henryhchchc/MockSniffer | 6d6e845616004ca77ce6d73709cff94a1a32c6c5 | [
"MIT"
] | null | null | null | ASE20_data/evaluation/baselines/b3.py | henryhchchc/MockSniffer | 6d6e845616004ca77ce6d73709cff94a1a32c6c5 | [
"MIT"
] | null | null | null | def baseline3(X):
return (
X['ABS']
| X['INT']
| X['UINT']
| (X['TDEP'] > X['TDEP'].mean())
| (X['FIELD'] > X['FIELD'].mean())
| ((X['UAPI']+X['TUAPI']) > (X['UAPI']+X['TUAPI']).mean())
| (X['EXPCAT'] > 0)
| (X['RBFA'] > 0)
| (X['CONDCALL'] > 0... | 26.333333 | 66 | 0.334177 | 46 | 395 | 2.869565 | 0.391304 | 0.151515 | 0.090909 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019455 | 0.349367 | 395 | 14 | 67 | 28.214286 | 0.494163 | 0 | 0 | 0 | 0 | 0 | 0.192405 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0.071429 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6ca9f18216caa165d46b77b5522acc1d6aa1f07 | 813 | py | Python | practice_problems/sorting/search_in_rotated_array.py | YazzyYaz/codinginterviews | b8115c43507d738bccd90366f2bc02867ba7f13f | [
"MIT"
] | null | null | null | practice_problems/sorting/search_in_rotated_array.py | YazzyYaz/codinginterviews | b8115c43507d738bccd90366f2bc02867ba7f13f | [
"MIT"
] | null | null | null | practice_problems/sorting/search_in_rotated_array.py | YazzyYaz/codinginterviews | b8115c43507d738bccd90366f2bc02867ba7f13f | [
"MIT"
] | null | null | null | def search_in_rotated_array(alist, k, leftix=0, rightix=None):
if not rightix:
rightix = len(alist)
midpoint = (leftix + rightix) / 2
aleft, amiddle = alist[leftix], alist[midpoint]
if k == amiddle:
return midpoint
if k == aleft:
return leftix
if aleft > amiddle:
... | 36.954545 | 73 | 0.633456 | 118 | 813 | 4.211864 | 0.338983 | 0.096579 | 0.181087 | 0.241449 | 0.462777 | 0.462777 | 0.462777 | 0.39839 | 0.382294 | 0.382294 | 0 | 0.066445 | 0.259533 | 813 | 21 | 74 | 38.714286 | 0.759136 | 0 | 0 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0 | 0 | 0.35 | 0.05 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6da43a318085ed5dc8a681c4d1d0e7003951169 | 1,614 | py | Python | ggongsul/partner/migrations/0003_partneragreement.py | blc-cruise/ggongsul-api | 0cdfc09ea75688ffc297bc0c0f08897091896f3e | [
"MIT"
] | 2 | 2021-05-22T07:33:34.000Z | 2021-09-18T04:22:25.000Z | ggongsul/partner/migrations/0003_partneragreement.py | blc-cruise/ggongsul-api | 0cdfc09ea75688ffc297bc0c0f08897091896f3e | [
"MIT"
] | null | null | null | ggongsul/partner/migrations/0003_partneragreement.py | blc-cruise/ggongsul-api | 0cdfc09ea75688ffc297bc0c0f08897091896f3e | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2020-12-06 23:03
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("partner", "0002_auto_20201205_1630"),
]
operations = [
migrations.CreateModel(
name="PartnerAgr... | 29.888889 | 84 | 0.405824 | 119 | 1,614 | 5.319328 | 0.537815 | 0.121643 | 0.07109 | 0.06951 | 0.088468 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0.50062 | 1,614 | 53 | 85 | 30.45283 | 0.746898 | 0.027881 | 0 | 0.170213 | 1 | 0 | 0.121889 | 0.014678 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.042553 | 0 | 0.106383 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6da50f994fb6dec8552e2cb6d5017c97cbec004 | 208 | py | Python | chapter6/6.2/decorator_test.py | yifengyou/crazy-python | 28099bd5011de6981a7c5412783952cc7601ae0c | [
"Unlicense"
] | null | null | null | chapter6/6.2/decorator_test.py | yifengyou/crazy-python | 28099bd5011de6981a7c5412783952cc7601ae0c | [
"Unlicense"
] | null | null | null | chapter6/6.2/decorator_test.py | yifengyou/crazy-python | 28099bd5011de6981a7c5412783952cc7601ae0c | [
"Unlicense"
] | null | null | null | # coding:utf-8
# File Name: decorator_test
# Author : yifengyou
# Date : 2021/07/18
def funA(fn):
print("A")
fn()
return "hello"
@funA
def funB():
print("B")
print(funB)
| 12.235294 | 31 | 0.543269 | 28 | 208 | 4 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062069 | 0.302885 | 208 | 16 | 32 | 13 | 0.710345 | 0.447115 | 0 | 0 | 0 | 0 | 0.063636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.375 | 0.375 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6ded2462573fdea817e5bf0a2ae4d937f5d4db7 | 1,064 | py | Python | pyactus/domain/enums/interest_calculation_base.py | CasperLabs/actus-core-py | 070de8a31a29792f3e488db93300947a11f496b7 | [
"Apache-2.0"
] | null | null | null | pyactus/domain/enums/interest_calculation_base.py | CasperLabs/actus-core-py | 070de8a31a29792f3e488db93300947a11f496b7 | [
"Apache-2.0"
] | null | null | null | pyactus/domain/enums/interest_calculation_base.py | CasperLabs/actus-core-py | 070de8a31a29792f3e488db93300947a11f496b7 | [
"Apache-2.0"
] | null | null | null | import enum
class InterestCalculationBase(enum.Enum):
"""IPCB :: Interest Calculation Base.
This is important for amortizing instruments. The basis of interest calculation is normally the notional outstanding amount as per SD. This is considered the fair basis and in many countries the only legal basis. If N... | 50.666667 | 264 | 0.759398 | 159 | 1,064 | 5.081761 | 0.540881 | 0.117574 | 0.049505 | 0.074257 | 0.131188 | 0.131188 | 0.131188 | 0.094059 | 0 | 0 | 0 | 0.003517 | 0.198308 | 1,064 | 20 | 265 | 53.2 | 0.943728 | 0.883459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c6e2591b3a9994c90718195618f8849a9904f2d7 | 128,118 | py | Python | tpipe.py | caseyjlaw/tpipe | d8337587230e334ee7f7147f64c2ae26566b0235 | [
"Apache-2.0"
] | 3 | 2015-01-05T01:23:07.000Z | 2018-09-30T07:53:58.000Z | tpipe.py | caseyjlaw/tpipe | d8337587230e334ee7f7147f64c2ae26566b0235 | [
"Apache-2.0"
] | null | null | null | tpipe.py | caseyjlaw/tpipe | d8337587230e334ee7f7147f64c2ae26566b0235 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
"""
tpipe.py --- read and visualize visibility data to search for transients
Generalization of evlavis, etc.
Can read MS or Miriad formatted data. Will try to import the following:
- CASA and pyrap for MS reading
- miriad-python for Miriad reading
- aipy for imaging numpy array data
"""
import ... | 51.370489 | 811 | 0.591018 | 17,624 | 128,118 | 4.266909 | 0.089197 | 0.007819 | 0.005426 | 0.003976 | 0.690878 | 0.664508 | 0.644628 | 0.627128 | 0.611848 | 0.60633 | 0 | 0.026697 | 0.283114 | 128,118 | 2,493 | 812 | 51.391095 | 0.792065 | 0.144172 | 0 | 0.588725 | 0 | 0.009609 | 0.080684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.007047 | 0.019859 | null | null | 0.081358 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c6e891651952b27226bb28fa1df0e725f78f1444 | 750 | py | Python | angr_platforms/tricore/simos_tricore.py | shahinsba/angr-platforms | 86f9ea90c396fb5561d0196a2d1a873e573b0294 | [
"BSD-2-Clause"
] | null | null | null | angr_platforms/tricore/simos_tricore.py | shahinsba/angr-platforms | 86f9ea90c396fb5561d0196a2d1a873e573b0294 | [
"BSD-2-Clause"
] | null | null | null | angr_platforms/tricore/simos_tricore.py | shahinsba/angr-platforms | 86f9ea90c396fb5561d0196a2d1a873e573b0294 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
""" simos_tricore.py
Define OS simulator for tricore architecture.
"""
from angr.calling_conventions import SimCC, register_default_cc, SimRegArg
from .arch_tricore import ArchTRICORE
class SimCCTricore(SimCC):
""" Calling convertion simulator for tricore architecture. """
ARG_REGS = ['d... | 37.5 | 74 | 0.637333 | 94 | 750 | 4.925532 | 0.691489 | 0.051836 | 0.082073 | 0.133909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066116 | 0.193333 | 750 | 19 | 75 | 39.473684 | 0.699174 | 0.273333 | 0 | 0 | 0 | 0 | 0.126894 | 0 | 0 | 0 | 0 | 0.052632 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.818182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c6f402f3fa9e6d514fe5b7bdd530e7ec0e623479 | 658 | py | Python | house_robber.py | tusharsadhwani/leetcode | a17a8a7587c5654f05fcd13ae7cdf47263ab2ea8 | [
"MIT"
] | 6 | 2021-05-21T01:10:42.000Z | 2021-12-16T16:12:30.000Z | house_robber.py | tusharsadhwani/leetcode | a17a8a7587c5654f05fcd13ae7cdf47263ab2ea8 | [
"MIT"
] | null | null | null | house_robber.py | tusharsadhwani/leetcode | a17a8a7587c5654f05fcd13ae7cdf47263ab2ea8 | [
"MIT"
] | null | null | null | class Solution:
def rob(self, nums: list[int]) -> int:
if len(nums) == 0:
return 0
max_loot: list[int] = [0 for _ in nums]
for index, num in enumerate(nums):
if index == 0:
max_loot[index] = num
elif index == 1:
max_loot[in... | 21.225806 | 61 | 0.389058 | 78 | 658 | 3.166667 | 0.371795 | 0.226721 | 0.291498 | 0.121457 | 0.251012 | 0.251012 | 0.251012 | 0.251012 | 0.251012 | 0 | 0 | 0.060694 | 0.474164 | 658 | 30 | 62 | 21.933333 | 0.653179 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
059db18f06e038424ee617d9555a718b37a6439d | 900 | py | Python | app/models/user_capsule_model.py | endlessdev/Capsule-Flask-App | 2d3faa789cbee3f59eb8a4f260c20ffd30ebf856 | [
"MIT"
] | null | null | null | app/models/user_capsule_model.py | endlessdev/Capsule-Flask-App | 2d3faa789cbee3f59eb8a4f260c20ffd30ebf856 | [
"MIT"
] | null | null | null | app/models/user_capsule_model.py | endlessdev/Capsule-Flask-App | 2d3faa789cbee3f59eb8a4f260c20ffd30ebf856 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
from sqlalchemy import Column, Integer, String, DateTime, Boolean, Enum, ForeignKey
from app import db
from app.models.user_model import UserModel
from app.models.capsule_model import CapsuleModel
class UserCapsuleModel(db.Model):
__tablename__ = 'user_capsule'
id = ... | 34.615385 | 115 | 0.751111 | 117 | 900 | 5.538462 | 0.42735 | 0.111111 | 0.069444 | 0.067901 | 0.138889 | 0.138889 | 0.138889 | 0 | 0 | 0 | 0 | 0.001289 | 0.137778 | 900 | 25 | 116 | 36 | 0.833763 | 0.023333 | 0 | 0 | 0 | 0 | 0.067275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.3125 | 0.0625 | 0.875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
05ae9faff24430ed54db15d529d80cead1f24d29 | 1,741 | py | Python | proc/mac.py | linlinhaohao888/pcap_compress | 83acec7ba7a0d79e8afd40b9a28aa4dbbdbb373b | [
"BSD-3-Clause"
] | 2 | 2020-10-28T03:56:50.000Z | 2020-10-28T07:22:05.000Z | proc/mac.py | linlinhaohao888/pcap_compress | 83acec7ba7a0d79e8afd40b9a28aa4dbbdbb373b | [
"BSD-3-Clause"
] | null | null | null | proc/mac.py | linlinhaohao888/pcap_compress | 83acec7ba7a0d79e8afd40b9a28aa4dbbdbb373b | [
"BSD-3-Clause"
] | 1 | 2021-06-07T08:28:08.000Z | 2021-06-07T08:28:08.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "mengdj@outlook.com"
from proc.arp import ARP
from proc.ip import IP
from proc.ipv6 import IPV6
from proc.util import ProcData
class MAC(ProcData):
"""mac协议 14B+"""
_dst = None
_src = None
_type = None
_data = None
de... | 25.231884 | 94 | 0.51637 | 224 | 1,741 | 3.8125 | 0.303571 | 0.084309 | 0.04918 | 0.059719 | 0.245902 | 0.154567 | 0.098361 | 0.098361 | 0.098361 | 0.098361 | 0 | 0.049283 | 0.358989 | 1,741 | 68 | 95 | 25.602941 | 0.71595 | 0.071798 | 0 | 0.14 | 0 | 0 | 0.03188 | 0 | 0 | 0 | 0.013012 | 0 | 0.02 | 1 | 0.18 | false | 0 | 0.08 | 0.14 | 0.52 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
05b0a603e41e948cc4d0b554a17b95112cbe3f34 | 13,915 | py | Python | pysnmp/OADHCP-SERVER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/OADHCP-SERVER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/OADHCP-SERVER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module OADHCP-SERVER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/OADHCP-SERVER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:22:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 111.32 | 2,261 | 0.763277 | 1,541 | 13,915 | 6.892278 | 0.112914 | 0.01224 | 0.016948 | 0.01996 | 0.397985 | 0.36748 | 0.329536 | 0.318614 | 0.202994 | 0.188118 | 0 | 0.076941 | 0.08746 | 13,915 | 124 | 2,262 | 112.217742 | 0.75949 | 0.023572 | 0 | 0.017544 | 0 | 0 | 0.126676 | 0.011636 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.122807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
05b749ffcbe0ef54ac5f3bd6219b12aa1d8b2104 | 109 | py | Python | face_analyser/configuration/data_settings.py | SergioML9/emotion_recogniser | f519a1075d713c8cea0bfce9c746765e6ae0a232 | [
"Apache-2.0"
] | null | null | null | face_analyser/configuration/data_settings.py | SergioML9/emotion_recogniser | f519a1075d713c8cea0bfce9c746765e6ae0a232 | [
"Apache-2.0"
] | null | null | null | face_analyser/configuration/data_settings.py | SergioML9/emotion_recogniser | f519a1075d713c8cea0bfce9c746765e6ae0a232 | [
"Apache-2.0"
] | null | null | null |
sample_split=1.0
data_loader_usage = 'Training'
training_data = "train_train"
evaluate_data = "privatetest"
| 18.166667 | 30 | 0.798165 | 15 | 109 | 5.4 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 0.100917 | 109 | 5 | 31 | 21.8 | 0.806122 | 0 | 0 | 0 | 0 | 0 | 0.277778 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
05e974701a4d74b99c7ade176b46b3b110ae9208 | 782 | py | Python | tupla_maior_menor.py | eduardobaltazarmarfim/PythonC | 8e44b4f191582c73cca6df98120ab142145c4ba1 | [
"MIT"
] | null | null | null | tupla_maior_menor.py | eduardobaltazarmarfim/PythonC | 8e44b4f191582c73cca6df98120ab142145c4ba1 | [
"MIT"
] | null | null | null | tupla_maior_menor.py | eduardobaltazarmarfim/PythonC | 8e44b4f191582c73cca6df98120ab142145c4ba1 | [
"MIT"
] | null | null | null | import random
def retorno():
resp=input('Deseja executar o programa novamente?[s/n] ')
if(resp=='S' or resp=='s'):
verificar()
else:
print('Processo finalizado com sucesso!')
pass
def cabecalho(titulo):
print('-'*30)
print(' '*9+titulo+' '*15)
print('-'*30)
pa... | 15.038462 | 114 | 0.580563 | 104 | 782 | 4.355769 | 0.528846 | 0.143488 | 0.154525 | 0.1766 | 0.1766 | 0.1766 | 0.1766 | 0.1766 | 0.1766 | 0.1766 | 0 | 0.036975 | 0.23913 | 782 | 52 | 115 | 15.038462 | 0.72437 | 0 | 0 | 0.307692 | 0 | 0 | 0.231162 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0.153846 | 0.038462 | 0 | 0.192308 | 0.346154 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
05ee6f7b9c3a5d6efc08fbe11ebf79d50754b8d5 | 12,716 | py | Python | tests/test_twoside_normal_factor_iso.py | jedludlow/tolerance_interval_py | cf3ecd1e2f9b870de3e71bc92e07e6394510c001 | [
"MIT"
] | 9 | 2021-12-15T22:54:24.000Z | 2022-03-12T00:25:07.000Z | tests/test_twoside_normal_factor_iso.py | jedludlow/tolerance_interval_py | cf3ecd1e2f9b870de3e71bc92e07e6394510c001 | [
"MIT"
] | 5 | 2019-11-07T15:26:21.000Z | 2022-02-25T19:40:50.000Z | tests/test_twoside_normal_factor_iso.py | jedludlow/tolerance_interval_py | cf3ecd1e2f9b870de3e71bc92e07e6394510c001 | [
"MIT"
] | 1 | 2021-03-11T19:28:22.000Z | 2021-03-11T19:28:22.000Z | # Author: Copyright (c) 2021 Jed Ludlow
# License: MIT License
"""
Test normla_factor against standard tables of tolerance factors
as published in ISO 16269-6:2014 Annex F.
A sampling of values from the tables is included here for brevity.
"""
import numpy as np
import toleranceinterval.twoside as ts
import unittes... | 29.232184 | 79 | 0.530513 | 2,211 | 12,716 | 3.008141 | 0.321122 | 0.022553 | 0.024357 | 0.040595 | 0.381597 | 0.377086 | 0.377086 | 0.329725 | 0.329725 | 0.329725 | 0 | 0.442453 | 0.311261 | 12,716 | 434 | 80 | 29.299539 | 0.316967 | 0.120006 | 0 | 0.361446 | 0 | 0 | 0.000452 | 0 | 0 | 0 | 0 | 0 | 0.004016 | 1 | 0.008032 | false | 0 | 0.012048 | 0 | 0.285141 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
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