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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
843f97dd8ec994e4357ed02f96f7842db3d9a402 | 5,867 | py | Python | cloudflare-deploy.py | antonini/certbot-hooks | 61e200b7a038952f2f559953f47be62e1f992e39 | [
"Apache-2.0"
] | null | null | null | cloudflare-deploy.py | antonini/certbot-hooks | 61e200b7a038952f2f559953f47be62e1f992e39 | [
"Apache-2.0"
] | null | null | null | cloudflare-deploy.py | antonini/certbot-hooks | 61e200b7a038952f2f559953f47be62e1f992e39 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import logging
import sys
import CloudFlare
import os
import re
from os import path
from certbot.plugins import dns_common
__author__ = "Endrigo Antonini"
__copyright__ = "Copyright 2020, Endrigo Antonini"
__license__ = "Apache License 2.0"
__version__ = "1.0"
__maintainer__ = "Endrigo Antonini... | 32.236264 | 110 | 0.670701 | 768 | 5,867 | 4.90625 | 0.28125 | 0.020701 | 0.01327 | 0.022293 | 0.16879 | 0.145435 | 0.12845 | 0.110403 | 0.110403 | 0.110403 | 0 | 0.008304 | 0.220044 | 5,867 | 182 | 111 | 32.236264 | 0.815122 | 0.041418 | 0 | 0.133333 | 0 | 0 | 0.270733 | 0.038523 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059259 | false | 0 | 0.051852 | 0.007407 | 0.17037 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8441be7fed412cc2b0c06a54eaceebee4908fef7 | 272 | py | Python | incremental/settings.py | Nana0606/IUAD | c52439eb5bbbef6bd50533b5d9e142e18091d85e | [
"BSD-2-Clause"
] | 1 | 2021-07-05T02:20:32.000Z | 2021-07-05T02:20:32.000Z | incremental/settings.py | Nana0606/IUAD | c52439eb5bbbef6bd50533b5d9e142e18091d85e | [
"BSD-2-Clause"
] | null | null | null | incremental/settings.py | Nana0606/IUAD | c52439eb5bbbef6bd50533b5d9e142e18091d85e | [
"BSD-2-Clause"
] | 1 | 2021-08-22T08:45:18.000Z | 2021-08-22T08:45:18.000Z | # python3
# -*- coding: utf-8 -*-
# @Author : lina
# @Time : 2018/4/22 21:17
"""
code function: define all parameters.
"""
matched_file_name = "../data/gcn_res.txt"
wordvec_path = '../data/word2vec.model'
incremental_path = "../data/incremental_res.txt"
| 20.923077 | 49 | 0.628676 | 35 | 272 | 4.714286 | 0.828571 | 0.072727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063063 | 0.183824 | 272 | 12 | 50 | 22.666667 | 0.68018 | 0.408088 | 0 | 0 | 0 | 0 | 0.49635 | 0.357664 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
84464ba3de7de8074ab4f3a72392eb3da290f401 | 16,826 | py | Python | transformer_courses/BERT_distillation/PaddleSlim-develop/paddleslim/nas/search_space/mobilenet_block.py | wwhio/awesome-DeepLearning | 2cc92edcf0c22bdfc670c537cc819c8fadf33fac | [
"Apache-2.0"
] | 1,150 | 2021-06-01T03:44:21.000Z | 2022-03-31T13:43:42.000Z | transformer_courses/BERT_distillation/PaddleSlim-develop/paddleslim/nas/search_space/mobilenet_block.py | wwhio/awesome-DeepLearning | 2cc92edcf0c22bdfc670c537cc819c8fadf33fac | [
"Apache-2.0"
] | 358 | 2021-06-01T03:58:47.000Z | 2022-03-28T02:55:00.000Z | transformer_courses/BERT_distillation/PaddleSlim-develop/paddleslim/nas/search_space/mobilenet_block.py | wwhio/awesome-DeepLearning | 2cc92edcf0c22bdfc670c537cc819c8fadf33fac | [
"Apache-2.0"
] | 502 | 2021-05-31T12:52:14.000Z | 2022-03-31T02:51:41.000Z | # Copyright (c) 2019 PaddlePaddle 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 applic... | 39.130233 | 178 | 0.530013 | 1,931 | 16,826 | 4.371828 | 0.130502 | 0.050817 | 0.036958 | 0.03376 | 0.610993 | 0.558754 | 0.533168 | 0.502843 | 0.477967 | 0.474651 | 0 | 0.027162 | 0.382979 | 16,826 | 429 | 179 | 39.221445 | 0.785976 | 0.136753 | 0 | 0.571885 | 0 | 0.00639 | 0.023949 | 0.002958 | 0 | 0 | 0 | 0 | 0.00639 | 1 | 0.044728 | false | 0 | 0.031949 | 0.00639 | 0.127796 | 0.003195 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
844826018788435b356bf6f9c896357ffb15fd09 | 11,680 | py | Python | baiduspider/core/parser.py | samzhangjy/GSSpider | 344d9c9053a5d5bf08692e0c817d30763dbd8ab7 | [
"MIT"
] | 31 | 2020-07-17T08:26:37.000Z | 2021-08-24T02:28:50.000Z | baiduspider/core/parser.py | samzhangjy/GSSpider | 344d9c9053a5d5bf08692e0c817d30763dbd8ab7 | [
"MIT"
] | 6 | 2020-07-14T17:13:17.000Z | 2020-09-12T06:02:01.000Z | baiduspider/core/parser.py | samzhangjy/GSSpider | 344d9c9053a5d5bf08692e0c817d30763dbd8ab7 | [
"MIT"
] | 12 | 2020-07-27T08:38:26.000Z | 2021-07-28T16:05:58.000Z | import json
from html import unescape
from bs4 import BeautifulSoup
from baiduspider.core._spider import BaseSpider
from baiduspider.errors import ParseError
class Parser(BaseSpider):
def __init__(self) -> None:
super().__init__()
def parse_web(self, content: str) -> dict:
"""解析百度网页搜索的页面源代码... | 36.72956 | 162 | 0.447603 | 1,099 | 11,680 | 4.584167 | 0.22566 | 0.031759 | 0.033347 | 0.018063 | 0.228067 | 0.118499 | 0.118499 | 0.113339 | 0.082175 | 0.069869 | 0 | 0.004499 | 0.42911 | 11,680 | 317 | 163 | 36.845426 | 0.75105 | 0.091524 | 0 | 0.268085 | 0 | 0 | 0.112684 | 0.012244 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012766 | false | 0 | 0.021277 | 0 | 0.046809 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8449b868c5c55bebc3c70da12ca1d458ad2a711a | 2,142 | py | Python | virtual/lib/python3.6/site-packages/requests_unixsocket/adapters.py | marknesh/pitches | 0a480d9bc2beafaefa0121393b1502cc05edab89 | [
"MIT"
] | null | null | null | virtual/lib/python3.6/site-packages/requests_unixsocket/adapters.py | marknesh/pitches | 0a480d9bc2beafaefa0121393b1502cc05edab89 | [
"MIT"
] | 10 | 2020-03-08T21:13:29.000Z | 2021-04-08T19:41:14.000Z | flask/lib/python3.6/site-packages/requests_unixsocket/adapters.py | JOFLIX/grapevines | 34576e01184570d79cc140b42ffb71d322132da6 | [
"MIT",
"Unlicense"
] | 1 | 2020-11-04T06:48:34.000Z | 2020-11-04T06:48:34.000Z | import socket
from requests.adapters import HTTPAdapter
from requests.compat import urlparse, unquote
try:
from requests.packages.urllib3.connection import HTTPConnection
from requests.packages.urllib3.connectionpool import HTTPConnectionPool
except ImportError:
from urllib3.connection import HTTPConnectio... | 35.114754 | 77 | 0.710551 | 252 | 2,142 | 5.81746 | 0.357143 | 0.061392 | 0.044338 | 0.034789 | 0.129604 | 0.047749 | 0 | 0 | 0 | 0 | 0 | 0.007051 | 0.205416 | 2,142 | 60 | 78 | 35.7 | 0.854289 | 0.169935 | 0 | 0.078947 | 0 | 0 | 0.032221 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.210526 | 0.026316 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
844aff8b757e567eab04101d17c08cb3e245797f | 8,032 | py | Python | profiles_weak.py | andreuvall/HybridPlaylistContinuation | 6e31e50050c61a2c3ae55183e18b665fd54c7250 | [
"BSD-2-Clause"
] | 8 | 2017-06-04T11:42:49.000Z | 2021-10-19T12:16:01.000Z | profiles_weak.py | andreuvall/HybridPlaylistContinuation | 6e31e50050c61a2c3ae55183e18b665fd54c7250 | [
"BSD-2-Clause"
] | null | null | null | profiles_weak.py | andreuvall/HybridPlaylistContinuation | 6e31e50050c61a2c3ae55183e18b665fd54c7250 | [
"BSD-2-Clause"
] | 5 | 2017-08-27T17:02:14.000Z | 2020-06-09T01:21:09.000Z | from __future__ import print_function
from __future__ import division
from sklearn.utils import check_random_state
from sklearn import preprocessing as prep
from utils.data import load_data, show_data_splits, shape_data
from utils.evaluation import evaluate
from utils.profiles import select_model, show_design, train,... | 37.886792 | 132 | 0.662475 | 1,054 | 8,032 | 4.870968 | 0.234345 | 0.01753 | 0.033113 | 0.031165 | 0.257499 | 0.21231 | 0.194196 | 0.182898 | 0.165758 | 0.165758 | 0 | 0.004343 | 0.254607 | 8,032 | 211 | 133 | 38.066351 | 0.853182 | 0.19385 | 0 | 0.188525 | 0 | 0 | 0.10708 | 0 | 0.008197 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.098361 | 0 | 0.098361 | 0.016393 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
844c48d7274f542cdb76ae374555eb9e43a3cc30 | 21,999 | py | Python | deliverable1/analyzer/clientGUI.py | tonellotto/pira-project | 13f1f40fd3339d60067c09396822af8f3c83239c | [
"MIT"
] | null | null | null | deliverable1/analyzer/clientGUI.py | tonellotto/pira-project | 13f1f40fd3339d60067c09396822af8f3c83239c | [
"MIT"
] | null | null | null | deliverable1/analyzer/clientGUI.py | tonellotto/pira-project | 13f1f40fd3339d60067c09396822af8f3c83239c | [
"MIT"
] | null | null | null | import analyzer_client as analyzer
from tkinter import *
from tkinter import filedialog
from tkinter import messagebox
from tkinter import ttk
import json
import os
from pathlib import Path
IP_ADDRESS = "localhost"
PORT = "8061"
ENGINE_CURR_OPTIONS = {}
ANALYZE_CURR_OPTIONS = {'language':'en', 'ent... | 50.456422 | 208 | 0.589027 | 2,486 | 21,999 | 5.125503 | 0.131537 | 0.04183 | 0.031785 | 0.030137 | 0.460995 | 0.401428 | 0.347905 | 0.292811 | 0.261419 | 0.202558 | 0 | 0.042692 | 0.263194 | 21,999 | 436 | 209 | 50.456422 | 0.743414 | 0.017592 | 0 | 0.12628 | 0 | 0.010239 | 0.164019 | 0.027896 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044369 | false | 0 | 0.027304 | 0 | 0.075085 | 0.003413 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
844ee290c97366006e042d8ac5ba0899c883ac56 | 1,903 | py | Python | kge/core/component.py | Fredkiss3/kge | 389d5ab21ecb6dc1a25dd9f98245ba5938a5d253 | [
"CC0-1.0"
] | 4 | 2020-03-17T02:15:10.000Z | 2021-06-29T13:34:40.000Z | kge/core/component.py | Fredkiss3/kge | 389d5ab21ecb6dc1a25dd9f98245ba5938a5d253 | [
"CC0-1.0"
] | 4 | 2020-05-23T05:47:30.000Z | 2022-01-13T02:15:35.000Z | kge/core/component.py | Fredkiss3/kge | 389d5ab21ecb6dc1a25dd9f98245ba5938a5d253 | [
"CC0-1.0"
] | null | null | null | from typing import Callable
import kge
from kge.core import events
from kge.core.eventlib import EventMixin
from kge.core.events import Event
class BaseComponent(EventMixin):
"""
A component represents an element that can be added to an entity
to add a functionality
"""
def __fire_... | 33.982143 | 104 | 0.603783 | 218 | 1,903 | 5.105505 | 0.316514 | 0.080863 | 0.02965 | 0.019766 | 0.104223 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001535 | 0.315292 | 1,903 | 55 | 105 | 34.6 | 0.852648 | 0.132948 | 0 | 0.129032 | 0 | 0 | 0.104005 | 0.013566 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0 | 0.16129 | 0.032258 | 0.387097 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
844f9857dd2ca03aee9ac58b1348e52e4bc8e0ee | 766 | py | Python | src/870. Advantage Shuffle.py | rajshrivastava/LeetCode | dfe6342fe22b324429b0be3e5c0fef46c7e6b3b0 | [
"MIT"
] | 1 | 2019-12-16T08:18:25.000Z | 2019-12-16T08:18:25.000Z | src/870. Advantage Shuffle.py | rajshrivastava/LeetCode | dfe6342fe22b324429b0be3e5c0fef46c7e6b3b0 | [
"MIT"
] | null | null | null | src/870. Advantage Shuffle.py | rajshrivastava/LeetCode | dfe6342fe22b324429b0be3e5c0fef46c7e6b3b0 | [
"MIT"
] | null | null | null | class Solution:
def advantageCount(self, A: List[int], B: List[int]) -> List[int]:
n=len(A)
A.sort()
B_sorted_idxs = sorted(list(range(0,n)), key = lambda x: B[x])
permuted_A = [-1]*n
j = 0 #for A -index
remainingA = []
for idx in B_sorted_idxs:
w... | 27.357143 | 70 | 0.399478 | 98 | 766 | 3.030612 | 0.367347 | 0.040404 | 0.074074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022556 | 0.479112 | 766 | 27 | 71 | 28.37037 | 0.721805 | 0.015666 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0 | 0 | 0.12 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
84508cc0743106693c25a4c91852516182d10958 | 11,162 | py | Python | generate_population_dataset.py | p-enel/stable-and-dynamic-value | 3f78e24f5bef9b12b8cc43d075d2e66b8a603325 | [
"CC0-1.0"
] | 1 | 2020-07-29T09:18:00.000Z | 2020-07-29T09:18:00.000Z | generate_population_dataset.py | p-enel/stable-and-dynamic-value | 3f78e24f5bef9b12b8cc43d075d2e66b8a603325 | [
"CC0-1.0"
] | null | null | null | generate_population_dataset.py | p-enel/stable-and-dynamic-value | 3f78e24f5bef9b12b8cc43d075d2e66b8a603325 | [
"CC0-1.0"
] | 3 | 2020-07-27T03:12:19.000Z | 2021-11-02T20:03:00.000Z | from pathlib import Path
import numpy as np
import pickle as pk
from itertools import chain, product
from collections import OrderedDict
from structure import Struct
MONKEYS = ['M', 'N']
REGIONS = ['OFC', 'ACC']
TASKVARS = ['value', 'type']
SUBSPACES = [True, False]
EVT_WINS = OrderedDict((('cues ON', (-500, 1500)),
... | 43.601563 | 114 | 0.614854 | 1,460 | 11,162 | 4.620548 | 0.222603 | 0.018678 | 0.009784 | 0.011118 | 0.231396 | 0.169878 | 0.126594 | 0.101097 | 0.091906 | 0.076786 | 0 | 0.015343 | 0.26429 | 11,162 | 255 | 115 | 43.772549 | 0.806137 | 0.308726 | 0 | 0.181818 | 0 | 0 | 0.077734 | 0.025956 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034965 | false | 0 | 0.041958 | 0 | 0.118881 | 0.013986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8450d07e5cec286e40f858637377c3e87f1ab9e5 | 634 | py | Python | setup.py | joepatmckenna/ohmlr | 2f3e63243758b995596f37897814634fc432f337 | [
"MIT"
] | null | null | null | setup.py | joepatmckenna/ohmlr | 2f3e63243758b995596f37897814634fc432f337 | [
"MIT"
] | null | null | null | setup.py | joepatmckenna/ohmlr | 2f3e63243758b995596f37897814634fc432f337 | [
"MIT"
] | null | null | null | import setuptools
with open('README.rst', 'r') as f:
readme = f.read()
with open('version', 'r') as f:
version = f.read()
if __name__ == '__main__':
setuptools.setup(
name='ohmlr',
version=version,
description='One-hot multinomial logisitc regression',
long_description=re... | 27.565217 | 65 | 0.615142 | 70 | 634 | 5.414286 | 0.685714 | 0.042216 | 0.021108 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.230284 | 634 | 22 | 66 | 28.818182 | 0.776639 | 0 | 0 | 0 | 0 | 0 | 0.347003 | 0.036278 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8450ee0e08874b8a26468c905f5abfbc7260c448 | 1,301 | py | Python | commands/climber/holdcimbersposition.py | 1757WestwoodRobotics/2022-RapidReact | b6d9cf203fd35e93dc5d26ba2d6889e2a9edb137 | [
"MIT"
] | 1 | 2022-01-21T22:00:24.000Z | 2022-01-21T22:00:24.000Z | commands/climber/holdcimbersposition.py | 1757WestwoodRobotics/2022-RapidReact | b6d9cf203fd35e93dc5d26ba2d6889e2a9edb137 | [
"MIT"
] | 40 | 2022-01-18T21:20:54.000Z | 2022-03-31T20:56:44.000Z | commands/climber/holdcimbersposition.py | 1757WestwoodRobotics/2022-RapidReact | b6d9cf203fd35e93dc5d26ba2d6889e2a9edb137 | [
"MIT"
] | 1 | 2022-01-28T02:46:38.000Z | 2022-01-28T02:46:38.000Z | from commands2 import CommandBase, ParallelCommandGroup
from subsystems.climbers.leftclimbersubsystem import LeftClimber
from subsystems.climbers.rightclimbersubsystem import RightClimber
class HoldLeftClimberPosition(CommandBase):
def __init__(self, climber: LeftClimber) -> None:
CommandBase.__init__(sel... | 35.162162 | 77 | 0.730976 | 109 | 1,301 | 8.284404 | 0.256881 | 0.121816 | 0.036545 | 0.066445 | 0.336656 | 0.272425 | 0.272425 | 0.272425 | 0.272425 | 0.272425 | 0 | 0.000941 | 0.182936 | 1,301 | 36 | 78 | 36.138889 | 0.848542 | 0 | 0 | 0.392857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.107143 | 0 | 0.392857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
84533ec2f7f2ad9597755a4499563c795ed9f246 | 737 | py | Python | algo/visualizations/temporalchart.py | alexeyev/visartm | d19e193b3c084d7f355a45b966c8bb2ebb6fa366 | [
"BSD-3-Clause"
] | 1 | 2020-10-01T10:11:21.000Z | 2020-10-01T10:11:21.000Z | algo/visualizations/temporalchart.py | alexeyev/visartm | d19e193b3c084d7f355a45b966c8bb2ebb6fa366 | [
"BSD-3-Clause"
] | null | null | null | algo/visualizations/temporalchart.py | alexeyev/visartm | d19e193b3c084d7f355a45b966c8bb2ebb6fa366 | [
"BSD-3-Clause"
] | null | null | null | from models.models import Topic, TopicInTopic
import json
def visual(vis, params):
model = vis.model
group_by = params[1] # year,month,week,day
topics = Topic.objects.filter(
model=model,
layer=model.layers_count).order_by("spectrum_index")
topics = [topic.title for topic in topics]
... | 32.043478 | 76 | 0.639077 | 103 | 737 | 4.456311 | 0.446602 | 0.045752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001733 | 0.217096 | 737 | 22 | 77 | 33.5 | 0.793761 | 0.02578 | 0 | 0 | 0 | 0 | 0.051676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.117647 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
84580bc22605d3bb58c5f232f6e1f847342e88fa | 3,596 | py | Python | submissions-api/app/main/model/submissions_manifest.py | sanger-tol/tol-submissions | 8dbbfaa98b1dfa09a09cb54cf1b2eb9d1dca5331 | [
"MIT"
] | null | null | null | submissions-api/app/main/model/submissions_manifest.py | sanger-tol/tol-submissions | 8dbbfaa98b1dfa09a09cb54cf1b2eb9d1dca5331 | [
"MIT"
] | null | null | null | submissions-api/app/main/model/submissions_manifest.py | sanger-tol/tol-submissions | 8dbbfaa98b1dfa09a09cb54cf1b2eb9d1dca5331 | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Genome Research Ltd.
#
# SPDX-License-Identifier: MIT
from .base import Base, db
class SubmissionsManifest(Base):
__tablename__ = "manifest"
manifest_id = db.Column(db.Integer, primary_key=True)
samples = db.relationship('SubmissionsSample', back_populates="manifest",
... | 44.95 | 88 | 0.614294 | 436 | 3,596 | 4.827982 | 0.270642 | 0.026603 | 0.033254 | 0.051306 | 0.451781 | 0.376247 | 0.278385 | 0.222328 | 0.222328 | 0.222328 | 0 | 0.001587 | 0.298943 | 3,596 | 79 | 89 | 45.518987 | 0.833399 | 0.0901 | 0 | 0.213115 | 0 | 0 | 0.071735 | 0.006438 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.016393 | 0.04918 | 0.393443 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8458ddef5330c4ed60d249ea5883464e063cf5ba | 6,411 | py | Python | eden/integration/hg/histedit_test.py | jmswen/eden | 5e0b051703fa946cc77fc43004435ae6b20599a1 | [
"BSD-3-Clause"
] | null | null | null | eden/integration/hg/histedit_test.py | jmswen/eden | 5e0b051703fa946cc77fc43004435ae6b20599a1 | [
"BSD-3-Clause"
] | null | null | null | eden/integration/hg/histedit_test.py | jmswen/eden | 5e0b051703fa946cc77fc43004435ae6b20599a1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright (c) 2016-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
... | 36.220339 | 86 | 0.608641 | 738 | 6,411 | 5.138211 | 0.245257 | 0.046414 | 0.037711 | 0.035865 | 0.501319 | 0.456487 | 0.42827 | 0.351266 | 0.341772 | 0.318829 | 0 | 0.010335 | 0.26049 | 6,411 | 176 | 87 | 36.426136 | 0.789496 | 0.128685 | 0 | 0.388889 | 0 | 0 | 0.162033 | 0.027067 | 0 | 0 | 0 | 0 | 0.230159 | 1 | 0.047619 | false | 0 | 0.031746 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
845a911380b7475214d4489c0d02b5872a85aa00 | 310 | py | Python | Leetcode/0713. Subarray Product Less Than K/0713.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/0713. Subarray Product Less Than K/0713.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/0713. Subarray Product Less Than K/0713.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | class Solution:
def numSubarrayProductLessThanK(self, nums: List[int], k: int) -> int:
if k <= 1:
return 0
ans = 0
prod = 1
j = 0
for i, num in enumerate(nums):
prod *= num
while prod >= k:
prod /= nums[j]
j += 1
ans += i - j + 1
return ans
| 17.222222 | 72 | 0.490323 | 44 | 310 | 3.454545 | 0.5 | 0.092105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037037 | 0.390323 | 310 | 17 | 73 | 18.235294 | 0.767196 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
845d9d3e1de64db798d6f4d7e46d76bf4c2959c6 | 3,965 | py | Python | UI/python/runtext.py | maxxscholten/nyc-train-sign | 7da32c413270f3bf4629969bcf16f7def4ddb372 | [
"MIT"
] | 8 | 2020-02-19T21:17:04.000Z | 2022-01-04T03:52:56.000Z | UI/python/runtext.py | maxxscholten/nyc-train-sign | 7da32c413270f3bf4629969bcf16f7def4ddb372 | [
"MIT"
] | 1 | 2021-09-20T02:13:41.000Z | 2021-09-21T07:01:14.000Z | UI/python/runtext.py | maxxscholten/nyc-train-sign | 7da32c413270f3bf4629969bcf16f7def4ddb372 | [
"MIT"
] | 4 | 2021-03-11T17:11:40.000Z | 2021-11-10T01:20:33.000Z | #!/usr/bin/env python
# Display a runtext with double-buffering.
from samplebase import SampleBase
from rgbmatrix import graphics
import time
import requests
import transitfeed
import datetime
import arrow
import schedule
today = datetime.date.today()
starttime = time.time()
schedule = transitfeed.Schedule()
url = "ht... | 37.056075 | 121 | 0.640858 | 499 | 3,965 | 5.046092 | 0.296593 | 0.0278 | 0.078634 | 0.082208 | 0.262907 | 0.205719 | 0.155679 | 0 | 0 | 0 | 0 | 0.055304 | 0.220177 | 3,965 | 106 | 122 | 37.40566 | 0.759056 | 0.034805 | 0 | 0.023256 | 0 | 0 | 0.046335 | 0.005759 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.093023 | 0 | 0.186047 | 0.046512 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8462591fa4b3c8c3275d239bf45765f52bee1b94 | 1,188 | py | Python | model/board_generator.py | myrmarachne/minesweeper | 777170b7a31f1feed0bdf7aca31aaa9916c9b915 | [
"AFL-1.1"
] | null | null | null | model/board_generator.py | myrmarachne/minesweeper | 777170b7a31f1feed0bdf7aca31aaa9916c9b915 | [
"AFL-1.1"
] | null | null | null | model/board_generator.py | myrmarachne/minesweeper | 777170b7a31f1feed0bdf7aca31aaa9916c9b915 | [
"AFL-1.1"
] | null | null | null | from random import sample
from tile import Tile
from utils import neighbours
class BoardGenerator:
def __init__(self, size, numMines):
self.numMines = numMines
self.size = size
self.board = []
self.generate_board()
def generate_board(self):
# Generate a board for Mines... | 38.322581 | 115 | 0.616162 | 178 | 1,188 | 4.011236 | 0.297753 | 0.123249 | 0.084034 | 0.058824 | 0.044818 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008255 | 0.286195 | 1,188 | 30 | 116 | 39.6 | 0.833726 | 0.234848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
846536aeea05536d64f4f59f9d2196f85d857b4d | 19,035 | py | Python | forever/Database.py | dss285/4ever | bd6f70f92d76d43342da401562f2c504adaf3867 | [
"MIT"
] | null | null | null | forever/Database.py | dss285/4ever | bd6f70f92d76d43342da401562f2c504adaf3867 | [
"MIT"
] | null | null | null | forever/Database.py | dss285/4ever | bd6f70f92d76d43342da401562f2c504adaf3867 | [
"MIT"
] | null | null | null | import psycopg2
import psycopg2.extras
import discord
from models.BotMention import BotMention
from models.UpdatedMessage import UpdatedMessage
from forever.Steam import Steam_API, Dota_Match, Dota_Match_Player
from forever.Utilities import run_in_executor, log
from forever.Warframe import CetusMessage, FissureM... | 38.222892 | 180 | 0.640294 | 2,411 | 19,035 | 4.85027 | 0.099959 | 0.056439 | 0.03412 | 0.040705 | 0.445442 | 0.326065 | 0.242774 | 0.211048 | 0.184454 | 0.176586 | 0 | 0.002015 | 0.1917 | 19,035 | 498 | 181 | 38.222892 | 0.758027 | 0.016706 | 0 | 0.212371 | 0 | 0.004124 | 0.240514 | 0.032288 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030928 | false | 0.010309 | 0.024742 | 0.008247 | 0.074227 | 0.002062 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8465f309612202475ac3cb61d22a9dcf1509182e | 822 | py | Python | Week06/q_cifar10_cnn.py | HowardNTUST/HackNTU_Data_2017 | ad8e753a16719b6f9396d88b313a5757f5ed4794 | [
"MIT"
] | null | null | null | Week06/q_cifar10_cnn.py | HowardNTUST/HackNTU_Data_2017 | ad8e753a16719b6f9396d88b313a5757f5ed4794 | [
"MIT"
] | null | null | null | Week06/q_cifar10_cnn.py | HowardNTUST/HackNTU_Data_2017 | ad8e753a16719b6f9396d88b313a5757f5ed4794 | [
"MIT"
] | 1 | 2019-02-24T17:41:45.000Z | 2019-02-24T17:41:45.000Z | import keras
from keras.layers import Dense, Activation, Conv2D, MaxPool2D, Reshape
model = Sequential()
model.add(Reshape((3, 32, 32), input_shape=(3*32*32,) ))
model.add(Conv2D(filters=32, kernel_size=(3,3), padding='same', activation="relu", data_format='channels_first'))
model.add(MaxPool2D())
model.add(Conv2D(filt... | 48.352941 | 113 | 0.723844 | 118 | 822 | 4.923729 | 0.483051 | 0.110155 | 0.051635 | 0.072289 | 0.292599 | 0.292599 | 0.292599 | 0.292599 | 0.292599 | 0.292599 | 0 | 0.053691 | 0.093674 | 822 | 17 | 114 | 48.352941 | 0.726175 | 0 | 0 | 0.117647 | 0 | 0 | 0.130012 | 0.029162 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
84664082e1511f1729add08f835b69444a8edf67 | 9,697 | py | Python | polyanalyst6api/api.py | Megaputer/polyanalyst6api-python | c6626a8a5f8f926b1f32285e18457ed70dfba73a | [
"MIT"
] | 2 | 2021-01-30T19:04:12.000Z | 2021-06-18T09:41:15.000Z | polyanalyst6api/api.py | Megaputer/polyanalyst6api-python | c6626a8a5f8f926b1f32285e18457ed70dfba73a | [
"MIT"
] | null | null | null | polyanalyst6api/api.py | Megaputer/polyanalyst6api-python | c6626a8a5f8f926b1f32285e18457ed70dfba73a | [
"MIT"
] | 1 | 2021-04-19T09:57:14.000Z | 2021-04-19T09:57:14.000Z | """
polyanalyst6api.api
~~~~~~~~~~~~~~~~~~~
This module contains functionality for access to PolyAnalyst API.
"""
import configparser
import contextlib
import pathlib
import warnings
from typing import Any, Dict, List, Tuple, Union, Optional
from urllib.parse import urljoin, urlparse
import requests
import urllib3
f... | 35.00722 | 113 | 0.608642 | 1,091 | 9,697 | 5.311641 | 0.27956 | 0.018982 | 0.011044 | 0.013978 | 0.101812 | 0.094219 | 0.094219 | 0.065229 | 0.049698 | 0.049698 | 0 | 0.007432 | 0.278437 | 9,697 | 276 | 114 | 35.134058 | 0.82078 | 0.237084 | 0 | 0.051429 | 0 | 0 | 0.169477 | 0.011804 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0.028571 | 0.068571 | 0 | 0.251429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffbf148e7df59ebdd237d38695723231b7824b44 | 462 | py | Python | src/abc/106/106_b.py | ryuichi1208/atcoder_stack | 19ec81fb9a3edb44be422b79e98b23e8ff17ef60 | [
"MIT"
] | null | null | null | src/abc/106/106_b.py | ryuichi1208/atcoder_stack | 19ec81fb9a3edb44be422b79e98b23e8ff17ef60 | [
"MIT"
] | null | null | null | src/abc/106/106_b.py | ryuichi1208/atcoder_stack | 19ec81fb9a3edb44be422b79e98b23e8ff17ef60 | [
"MIT"
] | null | null | null | n = int(input())
# @return [0]:約数の個数 [1]:約数リスト
def divisor(num):
ret=[]
L=[]
for i in range(1,num+1):
if (num%i==0):
L.append(i)
ret.append(len(L))
ret.append(L)
return ret
L=[]
ans=0
for i in range(1,n+1):
if(i%2==0):
continue
else:
for j in range... | 14.4375 | 30 | 0.452381 | 79 | 462 | 2.64557 | 0.367089 | 0.100478 | 0.114833 | 0.105263 | 0.200957 | 0.124402 | 0.124402 | 0 | 0 | 0 | 0 | 0.056478 | 0.348485 | 462 | 31 | 31 | 14.903226 | 0.637874 | 0.058442 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0 | 0 | 0.083333 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffc1536722c6684539bdbe4eaba7de45c07a8edb | 6,296 | py | Python | dataPipelines/gc_crawler/nato_stanag/models.py | ekmixon/gamechanger-crawlers | 60a0cf20338fb3dc134eec117bccd519cede9288 | [
"MIT"
] | null | null | null | dataPipelines/gc_crawler/nato_stanag/models.py | ekmixon/gamechanger-crawlers | 60a0cf20338fb3dc134eec117bccd519cede9288 | [
"MIT"
] | 4 | 2021-07-27T21:44:51.000Z | 2022-03-04T01:38:48.000Z | dataPipelines/gc_crawler/nato_stanag/models.py | ekmixon/gamechanger-crawlers | 60a0cf20338fb3dc134eec117bccd519cede9288 | [
"MIT"
] | null | null | null | import bs4
import os
import re
from typing import Iterable
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait # for implicit and explict waits
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.common.by import By
from dataPipelines.gc_crawler... | 38.625767 | 127 | 0.550191 | 712 | 6,296 | 4.636236 | 0.307584 | 0.023629 | 0.021812 | 0.029688 | 0.217207 | 0.142381 | 0.059376 | 0.033929 | 0.019388 | 0 | 0 | 0.011765 | 0.324968 | 6,296 | 162 | 128 | 38.864198 | 0.764941 | 0.047967 | 0 | 0.16129 | 0 | 0.008065 | 0.081698 | 0.022983 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.104839 | 0 | 0.177419 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffc168320dcc3879d9935e0c48e2582d2d304fa1 | 3,938 | py | Python | app/signals.py | MakuZo/bloggy | 550e5285728b285e0d5243670d6aa0f40c414777 | [
"MIT"
] | 7 | 2018-11-12T20:52:53.000Z | 2021-12-17T23:04:41.000Z | app/signals.py | MakuZo/bloggy | 550e5285728b285e0d5243670d6aa0f40c414777 | [
"MIT"
] | 2 | 2019-12-24T08:53:51.000Z | 2019-12-26T19:26:51.000Z | app/signals.py | MakuZo/bloggy | 550e5285728b285e0d5243670d6aa0f40c414777 | [
"MIT"
] | 8 | 2018-12-28T12:31:51.000Z | 2020-01-25T09:07:52.000Z | import re
from django.db.models.signals import m2m_changed, post_save, pre_delete
from django.dispatch import receiver
from django.urls import reverse
from .models import Entry, Notification, User
@receiver(post_save, sender=Entry)
def entry_notification(sender, instance, created, **kwargs):
"""
Signal used... | 39.777778 | 127 | 0.561199 | 431 | 3,938 | 5.055684 | 0.278422 | 0.055071 | 0.06425 | 0.035796 | 0.144103 | 0.084442 | 0.042221 | 0 | 0 | 0 | 0 | 0.001953 | 0.349924 | 3,938 | 98 | 128 | 40.183673 | 0.849219 | 0.156171 | 0 | 0.153846 | 0 | 0.012821 | 0.086612 | 0.043611 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.064103 | 0 | 0.089744 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffc35164c1764ae381a92d8e3682d0250a4793ea | 912 | py | Python | utils/jwt_custom_decorator.py | w0rm1995/face-comparison-backend | 9e231aabcf129e887e25a8ffdb5ae9617fee3e00 | [
"MIT"
] | null | null | null | utils/jwt_custom_decorator.py | w0rm1995/face-comparison-backend | 9e231aabcf129e887e25a8ffdb5ae9617fee3e00 | [
"MIT"
] | 3 | 2021-06-08T22:05:30.000Z | 2022-01-13T03:04:03.000Z | utils/jwt_custom_decorator.py | w0rm1995/face-comparison-backend | 9e231aabcf129e887e25a8ffdb5ae9617fee3e00 | [
"MIT"
] | null | null | null | from functools import wraps
from flask_jwt_extended import verify_jwt_in_request, get_jwt_claims, exceptions
from jwt import exceptions as jwt_exception
from utils.custom_response import bad_request
def admin_required(fn):
@wraps(fn)
def wrapper(*args, **kwargs):
try:
verify_jwt_in_request... | 35.076923 | 80 | 0.638158 | 114 | 912 | 4.894737 | 0.359649 | 0.107527 | 0.143369 | 0.086022 | 0.327957 | 0.327957 | 0.327957 | 0.286738 | 0.286738 | 0.229391 | 0 | 0.022901 | 0.281798 | 912 | 25 | 81 | 36.48 | 0.829008 | 0.08114 | 0 | 0.095238 | 0 | 0 | 0.02515 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.190476 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffc4351a518b97d5c4916014accd51d41d76de87 | 14,867 | py | Python | skybright/skybright.py | ehneilsen/skybright | b0e2d7e6e25131393ee76ce334ce1df1521e3659 | [
"MIT"
] | 1 | 2019-09-24T21:06:45.000Z | 2019-09-24T21:06:45.000Z | skybright/skybright.py | ehneilsen/skybright | b0e2d7e6e25131393ee76ce334ce1df1521e3659 | [
"MIT"
] | null | null | null | skybright/skybright.py | ehneilsen/skybright | b0e2d7e6e25131393ee76ce334ce1df1521e3659 | [
"MIT"
] | 1 | 2019-09-24T21:14:35.000Z | 2019-09-24T21:14:35.000Z | #!/usr/bin/env python
"""A model for the sky brightness
"""
from functools import partial
from math import pi, cos, acos, sin, sqrt, log10
from datetime import datetime, tzinfo, timedelta
from time import strptime
from calendar import timegm
from copy import deepcopy
from sys import argv
from collections import namedtu... | 37.1675 | 163 | 0.609807 | 2,210 | 14,867 | 3.935747 | 0.147059 | 0.025293 | 0.01943 | 0.023454 | 0.294091 | 0.242814 | 0.169924 | 0.090251 | 0.0745 | 0.069901 | 0 | 0.04326 | 0.249008 | 14,867 | 399 | 164 | 37.260652 | 0.735781 | 0.075738 | 0 | 0.103448 | 0 | 0.027586 | 0.107882 | 0.031177 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051724 | false | 0 | 0.086207 | 0.006897 | 0.203448 | 0.037931 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffc7043d4112113fd11d3bba2367bfc4002daece | 8,004 | py | Python | pynetstation_send_tags/pynetstation_send_tags.py | mattmoo/Pynetstation-Plug-In | aba2d312e5543cc5c2100793805acfeff075c59c | [
"MIT"
] | null | null | null | pynetstation_send_tags/pynetstation_send_tags.py | mattmoo/Pynetstation-Plug-In | aba2d312e5543cc5c2100793805acfeff075c59c | [
"MIT"
] | null | null | null | pynetstation_send_tags/pynetstation_send_tags.py | mattmoo/Pynetstation-Plug-In | aba2d312e5543cc5c2100793805acfeff075c59c | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
This file is part of OpenSesame.
OpenSesame is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenSesame is distr... | 35.415929 | 115 | 0.594328 | 983 | 8,004 | 4.753815 | 0.298067 | 0.034453 | 0.037663 | 0.066767 | 0.214209 | 0.0948 | 0.057351 | 0 | 0 | 0 | 0 | 0.011313 | 0.304223 | 8,004 | 225 | 116 | 35.573333 | 0.827797 | 0.318591 | 0 | 0.057143 | 0 | 0 | 0.073813 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07619 | false | 0 | 0.028571 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffc857a75ba7aa5ef44304f6675fe0e78e0727a5 | 976 | py | Python | experiments/centralisation/centralisation.py | MichaelAllen1966/2105_london_acute_stroke_unit | 56b710c58b5b6bdf5c03e3fb9ec65c53cd5336ff | [
"MIT"
] | null | null | null | experiments/centralisation/centralisation.py | MichaelAllen1966/2105_london_acute_stroke_unit | 56b710c58b5b6bdf5c03e3fb9ec65c53cd5336ff | [
"MIT"
] | null | null | null | experiments/centralisation/centralisation.py | MichaelAllen1966/2105_london_acute_stroke_unit | 56b710c58b5b6bdf5c03e3fb9ec65c53cd5336ff | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
data = pd.read_csv('results.csv')
labels = [1,2,3,4]
width = 0.75
x = np.arange(len(labels)) # the label locations
fig = plt.figure(figsize=(9,6))
# Number people waiting
ax1 = fig.add_subplot(121)
y1 = data['av_waiting'].values.flatten()
w... | 21.217391 | 76 | 0.731557 | 167 | 976 | 4.173653 | 0.491018 | 0.043042 | 0.037303 | 0.065997 | 0.149211 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043224 | 0.122951 | 976 | 45 | 77 | 21.688889 | 0.771028 | 0.042008 | 0 | 0 | 0 | 0 | 0.28556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffd1926ccd96f4b70e990d54bad23c4b64c849e9 | 2,531 | py | Python | cloudianapi/tools/statistics.py | romerojunior/cloudian-api | f17b45653a0e3e27a78d0d6bdc094ec6ab521550 | [
"Apache-2.0"
] | 11 | 2017-11-01T17:48:10.000Z | 2020-08-25T04:29:17.000Z | cloudianapi/tools/statistics.py | romerojunior/cloudian-api | f17b45653a0e3e27a78d0d6bdc094ec6ab521550 | [
"Apache-2.0"
] | 5 | 2017-11-10T12:46:44.000Z | 2019-09-18T07:18:19.000Z | cloudianapi/tools/statistics.py | romerojunior/cloudian-api | f17b45653a0e3e27a78d0d6bdc094ec6ab521550 | [
"Apache-2.0"
] | 7 | 2018-01-26T20:08:37.000Z | 2021-05-26T14:32:06.000Z | #!/usr/bin/env python
# -*- coding:utf8 -*-
# Copyright 2017, Schuberg Philis BV
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership... | 34.202703 | 79 | 0.66772 | 353 | 2,531 | 4.739377 | 0.501416 | 0.035864 | 0.015541 | 0.019127 | 0.068141 | 0.050209 | 0.050209 | 0.050209 | 0.050209 | 0 | 0 | 0.005348 | 0.261162 | 2,531 | 73 | 80 | 34.671233 | 0.889305 | 0.711181 | 0 | 0 | 0 | 0 | 0.098901 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffd544a103259a41233ed3e0af2e2d453a43568d | 1,446 | py | Python | E_ledproject.py | randomstring/raspberrypi | fe226ce33f116480bfea8f258fdffa1fd96e379c | [
"MIT"
] | null | null | null | E_ledproject.py | randomstring/raspberrypi | fe226ce33f116480bfea8f258fdffa1fd96e379c | [
"MIT"
] | null | null | null | E_ledproject.py | randomstring/raspberrypi | fe226ce33f116480bfea8f258fdffa1fd96e379c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import RPi.GPIO as GPIO
GPIO.setwarnings(False)
led_color_gpio = {
'yellow': 0,
'orange': 2,
'red': 3,
'green': 4,
'blue': 5,
'white': 6
}
buttons_gpio = {
'red': 28,
'blue': 29,
}
gpio_to_bcm = {
0: 17,
1: 18,
2: 27,
3: 22,
4: 23,
5:... | 18.075 | 54 | 0.538728 | 216 | 1,446 | 3.458333 | 0.375 | 0.064257 | 0.080321 | 0.085676 | 0.228916 | 0.133869 | 0.133869 | 0.133869 | 0.133869 | 0.133869 | 0 | 0.074719 | 0.324343 | 1,446 | 79 | 55 | 18.303797 | 0.689867 | 0.013831 | 0 | 0.161765 | 0 | 0 | 0.075789 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.014706 | 0 | 0.044118 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffd92d23d660d2a840a6dec51a3209da982b029c | 1,172 | py | Python | word_vectorizer/tests/unittest/model_downloading/test_gensimModelDownloader.py | RodSernaPerez/WordVectorizer | 097b2ccfc284b39ad43f56047ee25e393b7525ec | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | word_vectorizer/tests/unittest/model_downloading/test_gensimModelDownloader.py | RodSernaPerez/WordVectorizer | 097b2ccfc284b39ad43f56047ee25e393b7525ec | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | word_vectorizer/tests/unittest/model_downloading/test_gensimModelDownloader.py | RodSernaPerez/WordVectorizer | 097b2ccfc284b39ad43f56047ee25e393b7525ec | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from unittest import TestCase
from unittest.mock import patch
from word_vectorizer.constants import Constants
from word_vectorizer.model_downloading.gensim_model_downloader import \
GensimModelDownloader
class TestGensimModelDownloader(TestCase):
NAME_MODEL = "name_model"
URL = "gensim"
PATH_WHERE_G... | 41.857143 | 77 | 0.728669 | 138 | 1,172 | 5.76087 | 0.347826 | 0.067925 | 0.125786 | 0.090566 | 0.313208 | 0.218868 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195392 | 1,172 | 27 | 78 | 43.407407 | 0.843054 | 0 | 0 | 0 | 0 | 0 | 0.054608 | 0.018771 | 0 | 0 | 0 | 0 | 0.136364 | 1 | 0.045455 | false | 0 | 0.181818 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffd92f6660bddf66dfe789ef939a022a436eddba | 26,840 | py | Python | results/generate_result.py | riscv-android-src/platform-test-mlts-benchmark | fc22878823896b81eb8b7e63e952a13f9675edcb | [
"Apache-2.0"
] | null | null | null | results/generate_result.py | riscv-android-src/platform-test-mlts-benchmark | fc22878823896b81eb8b7e63e952a13f9675edcb | [
"Apache-2.0"
] | null | null | null | results/generate_result.py | riscv-android-src/platform-test-mlts-benchmark | fc22878823896b81eb8b7e63e952a13f9675edcb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
#
# Copyright 2018, The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 31.613663 | 99 | 0.656222 | 3,436 | 26,840 | 4.862922 | 0.129511 | 0.015321 | 0.014782 | 0.01167 | 0.389072 | 0.30726 | 0.254713 | 0.225388 | 0.183793 | 0.163325 | 0 | 0.01286 | 0.217735 | 26,840 | 848 | 100 | 31.650943 | 0.782959 | 0.085171 | 0 | 0.275556 | 0 | 0.002963 | 0.274696 | 0.045666 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0.001481 | 0.008889 | 0.002963 | 0.12 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffda91245aed33f9125784b3f0d5a73c6224af00 | 6,975 | py | Python | ampel/ztf/dev/DevSkyPortalClient.py | AmpelProject/Ampel-ZTF | 7f9736a7be3aa526571004716160cae2a800e410 | [
"BSD-3-Clause"
] | 1 | 2021-03-11T15:39:28.000Z | 2021-03-11T15:39:28.000Z | ampel/ztf/dev/DevSkyPortalClient.py | AmpelProject/Ampel-ZTF | 7f9736a7be3aa526571004716160cae2a800e410 | [
"BSD-3-Clause"
] | 18 | 2021-08-02T17:11:25.000Z | 2022-01-11T16:20:04.000Z | ampel/ztf/dev/DevSkyPortalClient.py | AmpelProject/Ampel-ZTF | 7f9736a7be3aa526571004716160cae2a800e410 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: Ampel-ZTF/ampel/ztf/dev/DevSkyPortalClient.py
# Author: Jakob van Santen <jakob.van.santen@desy.de>
# Date: 16.09.2020
# Last Modified Date: 16.09.2020
# Last Modified By: Jakob van Santen <jakob.van.santen@desy.de>
im... | 36.139896 | 151 | 0.531326 | 759 | 6,975 | 4.807642 | 0.370224 | 0.013428 | 0.015347 | 0.010414 | 0.050973 | 0.050973 | 0.018635 | 0.018635 | 0 | 0 | 0 | 0.025988 | 0.321434 | 6,975 | 192 | 152 | 36.328125 | 0.744982 | 0.116989 | 0 | 0.039735 | 0 | 0 | 0.150813 | 0.01495 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059603 | false | 0.006623 | 0.086093 | 0.013245 | 0.198676 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffddb9df1f192b673556f7659d2310d13ba94e89 | 3,806 | py | Python | tools/test_detection_features_converter.py | jialinwu17/caption_vqa | 9bbbb580d031a20ba4f18ef14fcd3599b62a482a | [
"MIT"
] | 139 | 2018-03-21T09:39:39.000Z | 2021-07-07T14:19:26.000Z | tools/test_detection_features_converter.py | VincentYing/Attention-on-Attention-for-VQA | cbc767541667e9bb32760ac7cd2e822eff232ff5 | [
"MIT"
] | 4 | 2018-05-25T05:15:20.000Z | 2018-10-11T00:52:14.000Z | tools/test_detection_features_converter.py | VincentYing/Attention-on-Attention-for-VQA | cbc767541667e9bb32760ac7cd2e822eff232ff5 | [
"MIT"
] | 23 | 2018-03-22T10:12:35.000Z | 2021-02-20T06:18:00.000Z | """
Reads in a tsv file with pre-trained bottom up attention features and
stores it in HDF5 format. Also store {image_id: feature_idx}
as a pickle file.
Hierarchy of HDF5 file:
{ 'image_features': num_images x num_boxes x 2048 array of features
'image_bb': num_images x num_boxes x 4 array of bounding boxes }
"""
... | 34.6 | 83 | 0.618497 | 498 | 3,806 | 4.399598 | 0.273092 | 0.028754 | 0.020082 | 0.024646 | 0.176175 | 0.117754 | 0.062072 | 0.031036 | 0 | 0 | 0 | 0.022857 | 0.26432 | 3,806 | 109 | 84 | 34.917431 | 0.759643 | 0.081713 | 0 | 0.05 | 0 | 0 | 0.109263 | 0.024663 | 0 | 0 | 0 | 0 | 0.0125 | 1 | 0 | false | 0 | 0.1125 | 0 | 0.1125 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffdf3cdd0117fb616bc6eff58d4c3d502c8bf807 | 6,301 | py | Python | aydin/it/classic_denoisers/bilateral.py | AhmetCanSolak/aydin | e8bc81ee88c96e0f34986df30a63c96468a45f70 | [
"BSD-3-Clause"
] | 78 | 2021-11-08T16:11:23.000Z | 2022-03-27T17:51:04.000Z | aydin/it/classic_denoisers/bilateral.py | AhmetCanSolak/aydin | e8bc81ee88c96e0f34986df30a63c96468a45f70 | [
"BSD-3-Clause"
] | 19 | 2021-11-08T17:15:40.000Z | 2022-03-30T17:46:55.000Z | aydin/it/classic_denoisers/bilateral.py | AhmetCanSolak/aydin | e8bc81ee88c96e0f34986df30a63c96468a45f70 | [
"BSD-3-Clause"
] | 7 | 2021-11-09T17:42:32.000Z | 2022-03-09T00:37:57.000Z | from functools import partial
from typing import Optional, List, Tuple
import numpy
from numpy.typing import ArrayLike
from skimage.restoration import denoise_bilateral as skimage_denoise_bilateral
from aydin.it.classic_denoisers import _defaults
from aydin.util.crop.rep_crop import representative_crop
from aydin.uti... | 32.989529 | 83 | 0.690525 | 792 | 6,301 | 5.342172 | 0.300505 | 0.041598 | 0.033089 | 0.017963 | 0.164264 | 0.136611 | 0.133775 | 0.133775 | 0.133775 | 0.133775 | 0 | 0.01594 | 0.243295 | 6,301 | 190 | 84 | 33.163158 | 0.871435 | 0.552293 | 0 | 0.16129 | 0 | 0 | 0.014193 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.145161 | 0 | 0.209677 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffe13b312ebb3748c1aadfdca895d3557dc9d9a9 | 1,889 | py | Python | pymon/pymon.py | crest42/PyMon | 96494cc37f906e6a07388af29b04c559ec72f116 | [
"MIT"
] | null | null | null | pymon/pymon.py | crest42/PyMon | 96494cc37f906e6a07388af29b04c559ec72f116 | [
"MIT"
] | null | null | null | pymon/pymon.py | crest42/PyMon | 96494cc37f906e6a07388af29b04c559ec72f116 | [
"MIT"
] | null | null | null | import logging
import time
from .exceptions import HostEntryNotValid
from .check import CheckFactory
from .alert import AlertFactory
from .host import Host
from .logging import logger
class PyMon:
def __init__(self, host_list, check_list, alert_list, daemonize=False):
self.hosts = {}
self.checks =... | 28.19403 | 75 | 0.564849 | 227 | 1,889 | 4.599119 | 0.259912 | 0.068966 | 0.031609 | 0.02682 | 0.028736 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004006 | 0.339333 | 1,889 | 66 | 76 | 28.621212 | 0.832532 | 0 | 0 | 0.036364 | 0 | 0 | 0.035998 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109091 | false | 0 | 0.127273 | 0 | 0.254545 | 0.072727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffe7a09ec4555bf2573c09777fdb5c2946647fc9 | 3,914 | py | Python | submissions_comments.py | jbell1991/reddit-scraping | 73d88501ed0205e78000b9c30780a33186154fda | [
"MIT"
] | null | null | null | submissions_comments.py | jbell1991/reddit-scraping | 73d88501ed0205e78000b9c30780a33186154fda | [
"MIT"
] | null | null | null | submissions_comments.py | jbell1991/reddit-scraping | 73d88501ed0205e78000b9c30780a33186154fda | [
"MIT"
] | null | null | null | # imports
from decouple import config
import pandas as pd
import praw
import psycopg2
import schedule
from sqlalchemy import create_engine
import time
def job():
current_day = time.strftime("%m/%d/%Y")
print(f"Performing job on {current_day}")
startTime = time.time()
# connecting to reddit API
re... | 32.890756 | 93 | 0.667092 | 441 | 3,914 | 5.782313 | 0.287982 | 0.056471 | 0.026667 | 0.016471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004864 | 0.212059 | 3,914 | 118 | 94 | 33.169492 | 0.821984 | 0.178334 | 0 | 0.025974 | 0 | 0 | 0.233031 | 0.017204 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012987 | false | 0.038961 | 0.090909 | 0 | 0.103896 | 0.025974 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffeb87db7651191ea5cf19f49a0c7c9aa356f87d | 8,539 | py | Python | site-packages/playhouse/sqliteq.py | lego-cloud/MDMPy | dc676a5d2245a14b9b98a2ac2dba64ff0bf61800 | [
"Python-2.0",
"OLDAP-2.7"
] | 674 | 2015-11-06T04:22:47.000Z | 2022-02-26T17:31:43.000Z | site-packages/playhouse/sqliteq.py | lego-cloud/MDMPy | dc676a5d2245a14b9b98a2ac2dba64ff0bf61800 | [
"Python-2.0",
"OLDAP-2.7"
] | 713 | 2015-11-06T10:48:58.000Z | 2018-11-27T16:32:18.000Z | site-packages/playhouse/sqliteq.py | lego-cloud/MDMPy | dc676a5d2245a14b9b98a2ac2dba64ff0bf61800 | [
"Python-2.0",
"OLDAP-2.7"
] | 106 | 2015-12-07T11:21:06.000Z | 2022-03-11T10:58:41.000Z | import logging
import weakref
from threading import Event
from threading import Thread
try:
from Queue import Queue
except ImportError:
from queue import Queue
try:
import gevent
from gevent import Greenlet as GThread
from gevent.event import Event as GEvent
from gevent.queue import Queue as GQ... | 32.222642 | 79 | 0.610025 | 1,003 | 8,539 | 4.946162 | 0.212363 | 0.026809 | 0.02177 | 0.012901 | 0.174158 | 0.143116 | 0.096352 | 0.077404 | 0.049587 | 0.049587 | 0 | 0.000843 | 0.305305 | 8,539 | 264 | 80 | 32.344697 | 0.835469 | 0.040169 | 0 | 0.196078 | 0 | 0 | 0.088056 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0.004902 | 0.063725 | 0.029412 | 0.382353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffed6941b3c99947e3e5d93c80fbd2e963b7ad51 | 9,056 | py | Python | Common/Db.py | StrawberryTeam/pi_robot | c1b8ce2ad49c64173673df0eb59e0941624556e7 | [
"MIT"
] | 2 | 2018-08-30T14:38:53.000Z | 2019-12-12T09:33:42.000Z | Common/Db.py | StrawberryTeam/pi_robot | c1b8ce2ad49c64173673df0eb59e0941624556e7 | [
"MIT"
] | 1 | 2018-12-10T05:15:48.000Z | 2018-12-10T05:15:48.000Z | Common/Db.py | StrawberryTeam/pi_robot | c1b8ce2ad49c64173673df0eb59e0941624556e7 | [
"MIT"
] | 2 | 2019-06-28T06:05:17.000Z | 2019-10-28T08:34:50.000Z | #!/usr/bin/python3
from Common.Straw import Straw
import pymongo
from pymongo import MongoClient
from bson.objectid import ObjectId
import os
class Db(Straw):
# 任务
_taskFields = {
'videoIds': 'string', #待操作的 视频
'setId': 'objectid', #待操作的视频集 id
'fromDevice': 'string',
'toDevice':... | 35.100775 | 169 | 0.597946 | 989 | 9,056 | 5.264914 | 0.226491 | 0.051085 | 0.076628 | 0.069906 | 0.497599 | 0.467448 | 0.436336 | 0.386979 | 0.294603 | 0.245823 | 0 | 0.005349 | 0.256846 | 9,056 | 257 | 170 | 35.237354 | 0.768351 | 0.194898 | 0 | 0.293706 | 0 | 0 | 0.112334 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146853 | false | 0.006993 | 0.034965 | 0 | 0.426573 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ffed95a551ec4c75f989589df7d781a9f4387728 | 1,251 | py | Python | baya/tests/test_templatetags.py | kreneskyp/baya | 5cf04b6873927124b4a3f24c113c08699dd61315 | [
"MIT"
] | 4 | 2016-05-24T13:57:37.000Z | 2020-02-27T05:22:56.000Z | baya/tests/test_templatetags.py | kreneskyp/baya | 5cf04b6873927124b4a3f24c113c08699dd61315 | [
"MIT"
] | 29 | 2016-02-05T01:31:51.000Z | 2022-02-23T18:50:58.000Z | baya/tests/test_templatetags.py | hrichards/baya | f319cef5e95cd6a166265d51ae0ea236b6f65be3 | [
"MIT"
] | 6 | 2016-05-20T22:22:45.000Z | 2019-09-03T17:57:59.000Z | from django.template import Context
from django.template import Template
from .test_base import LDAPGroupAuthTestBase
from django.contrib.auth.models import AnonymousUser
class CanUserPerformActionTagTest(LDAPGroupAuthTestBase):
BASIC_TEMPLATE = Template(
"{% load baya_tags %}"
"{% can_user_pe... | 29.785714 | 69 | 0.608313 | 122 | 1,251 | 6.02459 | 0.327869 | 0.070748 | 0.073469 | 0.097959 | 0.492517 | 0.492517 | 0.492517 | 0.492517 | 0.42449 | 0.22585 | 0 | 0 | 0.275779 | 1,251 | 41 | 70 | 30.512195 | 0.811258 | 0 | 0 | 0.4 | 0 | 0 | 0.174261 | 0.018385 | 0 | 0 | 0 | 0 | 0.085714 | 1 | 0.085714 | false | 0 | 0.114286 | 0 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fff185192df2e58db961f6b323cfb8259a7a9f46 | 2,611 | py | Python | egg/zoo/sum_game/architectures.py | CorentinKervadec/EGG | 5ccd49c4a493514b1194699954d41940f5e2a5c6 | [
"MIT"
] | null | null | null | egg/zoo/sum_game/architectures.py | CorentinKervadec/EGG | 5ccd49c4a493514b1194699954d41940f5e2a5c6 | [
"MIT"
] | null | null | null | egg/zoo/sum_game/architectures.py | CorentinKervadec/EGG | 5ccd49c4a493514b1194699954d41940f5e2a5c6 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from torch.nn import functional as F
# In EGG, the game designer must implement the core functionality of t... | 44.254237 | 133 | 0.711222 | 401 | 2,611 | 4.508728 | 0.38404 | 0.029867 | 0.018252 | 0.024889 | 0.075221 | 0.075221 | 0.038717 | 0.038717 | 0.038717 | 0 | 0 | 0.005828 | 0.211413 | 2,611 | 59 | 134 | 44.254237 | 0.872268 | 0.518958 | 0 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0.030303 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fff18656fd42956b8ef43e1d1fc5a06b2aa15f66 | 2,757 | py | Python | utils/random_training_splits.py | suvarnak/GenerativeFSLCovid | 0bdeb4ed444c5c9d59697c71d0733fc3a100944c | [
"MIT"
] | null | null | null | utils/random_training_splits.py | suvarnak/GenerativeFSLCovid | 0bdeb4ed444c5c9d59697c71d0733fc3a100944c | [
"MIT"
] | null | null | null | utils/random_training_splits.py | suvarnak/GenerativeFSLCovid | 0bdeb4ed444c5c9d59697c71d0733fc3a100944c | [
"MIT"
] | null | null | null | import os
import shutil
import random
def copy_random_k_files(src_dir, k, dst_dir):
file_list = os.listdir(src_dir)
if k == -1:
k=len(file_list)
for i in range(k):
random_file=random.choice(file_list)
print(random_file)
src1 = os.path.join(src_dir, random_file)
dst... | 39.385714 | 105 | 0.673921 | 442 | 2,757 | 3.812217 | 0.158371 | 0.08546 | 0.136499 | 0.046291 | 0.465282 | 0.429674 | 0.226706 | 0.153116 | 0.153116 | 0.110386 | 0 | 0.011899 | 0.207472 | 2,757 | 69 | 106 | 39.956522 | 0.759268 | 0.010519 | 0 | 0.066667 | 0 | 0 | 0.066079 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.1 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fff2144edf1dc7c96f337289635ef5af44b23625 | 8,510 | py | Python | testscript/imputation_algorithms.py | zshufan/Tattle-Tale | f9d93051efb523f1bda0cead023c2f001e18cc85 | [
"BSD-3-Clause"
] | null | null | null | testscript/imputation_algorithms.py | zshufan/Tattle-Tale | f9d93051efb523f1bda0cead023c2f001e18cc85 | [
"BSD-3-Clause"
] | null | null | null | testscript/imputation_algorithms.py | zshufan/Tattle-Tale | f9d93051efb523f1bda0cead023c2f001e18cc85 | [
"BSD-3-Clause"
] | null | null | null | # some codes refer to Holoclean evaluation function
# https://github.com/HoloClean/holoclean
import pandas as pd
import numpy as np
import logging
import random
import argparse
parser = argparse.ArgumentParser(description='Predict on many examples')
parser.add_argument("--dataset", type=str, help="dataset path")
pars... | 42.338308 | 169 | 0.602115 | 1,071 | 8,510 | 4.575163 | 0.210084 | 0.031837 | 0.020408 | 0.022041 | 0.434286 | 0.370204 | 0.316327 | 0.272653 | 0.249592 | 0.241837 | 0 | 0.003485 | 0.291892 | 8,510 | 200 | 170 | 42.55 | 0.809658 | 0.154642 | 0 | 0.27907 | 0 | 0 | 0.109807 | 0.003632 | 0 | 0 | 0 | 0.005 | 0 | 1 | 0.069767 | false | 0 | 0.03876 | 0 | 0.124031 | 0.031008 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fff3dd07c2f6cdec73bcd25788a20c7594c2652d | 959 | py | Python | streamlit/main.py | prakhar134/clean-or-messy | 0b9080363c48ca9cff0449875dfcbd169ef64321 | [
"MIT"
] | 13 | 2020-10-08T13:52:21.000Z | 2022-03-11T07:02:35.000Z | streamlit/main.py | architsharmaa/clean-or-messy | b40028cb4c4c8bbefb91a4b016096953b445c146 | [
"MIT"
] | null | null | null | streamlit/main.py | architsharmaa/clean-or-messy | b40028cb4c4c8bbefb91a4b016096953b445c146 | [
"MIT"
] | 9 | 2020-10-08T12:02:50.000Z | 2022-01-25T23:38:46.000Z | from fastai.vision.all import *
from PIL import Image
import streamlit as st
import numpy as np
from io import BytesIO
from .config import imgWidth, imgHeight
st.title("CleanvsMessy")
st.markdown('''
## Upload the image''',True)
st.set_option('deprecation.showfileUploaderEncoding', False)
file = st.file_uploader(" ")
... | 30.935484 | 65 | 0.683003 | 130 | 959 | 4.907692 | 0.469231 | 0.032915 | 0.056426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003788 | 0.17414 | 959 | 31 | 66 | 30.935484 | 0.801768 | 0 | 0 | 0.148148 | 0 | 0 | 0.197917 | 0.0375 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.222222 | 0 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fff5f55a4eee57bae636a577f32adbde97ba453e | 3,151 | py | Python | e3/provisioning/AtlassianAwsSecurity.py | sguillory6/e3 | 1505e6ea389157b9645155b9da13d6d316235f1a | [
"Apache-2.0"
] | null | null | null | e3/provisioning/AtlassianAwsSecurity.py | sguillory6/e3 | 1505e6ea389157b9645155b9da13d6d316235f1a | [
"Apache-2.0"
] | null | null | null | e3/provisioning/AtlassianAwsSecurity.py | sguillory6/e3 | 1505e6ea389157b9645155b9da13d6d316235f1a | [
"Apache-2.0"
] | null | null | null | import logging
import logging.config
import os
import subprocess
from datetime import datetime, timedelta
from botocore.credentials import CredentialProvider, RefreshableCredentials
from dateutil.tz import tzlocal
from common.E3 import e3
class AtlassianAwsSecurity(CredentialProvider):
"""
This class is onl... | 39.886076 | 114 | 0.614408 | 372 | 3,151 | 4.948925 | 0.349462 | 0.039109 | 0.035307 | 0.039109 | 0.154264 | 0.074959 | 0.074959 | 0.039109 | 0.039109 | 0 | 0 | 0.00724 | 0.298635 | 3,151 | 78 | 115 | 40.397436 | 0.825792 | 0.072993 | 0 | 0.031746 | 0 | 0.015873 | 0.126381 | 0.02797 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079365 | false | 0 | 0.126984 | 0.015873 | 0.365079 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fff91c879216ac70a7559f58214c7d1b3892a9ea | 3,264 | py | Python | django_input_collection/api/restframework/collection.py | pivotal-energy-solutions/django-input-collection | cc2ce3e0a7104ba9c524eaba5706da94ddb04a5f | [
"Apache-2.0"
] | null | null | null | django_input_collection/api/restframework/collection.py | pivotal-energy-solutions/django-input-collection | cc2ce3e0a7104ba9c524eaba5706da94ddb04a5f | [
"Apache-2.0"
] | 4 | 2019-08-25T15:47:24.000Z | 2022-03-24T19:35:09.000Z | django_input_collection/api/restframework/collection.py | pivotal-energy-solutions/django-input-collection | cc2ce3e0a7104ba9c524eaba5706da94ddb04a5f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from django.urls import reverse
from rest_framework.response import Response
from rest_framework import status
from ...collection import BaseAPICollector, BaseAPISpecification
from ... import models
from . import serializers
class RestFrameworkSpecification(BaseAPISpecification):
content... | 38.857143 | 99 | 0.662377 | 319 | 3,264 | 6.611285 | 0.332288 | 0.043148 | 0.037933 | 0.029872 | 0.102418 | 0.102418 | 0.079659 | 0.046468 | 0.046468 | 0 | 0 | 0.00158 | 0.224571 | 3,264 | 83 | 100 | 39.325301 | 0.831687 | 0.163297 | 0 | 0.035088 | 0 | 0 | 0.131215 | 0.042617 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.105263 | 0 | 0.421053 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fffc90bcd5aabe8c07f5b2517e1c835715addf0e | 770 | py | Python | DFS/depth_first_search.py | Quanta-Algorithm-Design/graphs | 3a5b6362bf60a1e2fb06d2fadab46e72124d637d | [
"MIT"
] | null | null | null | DFS/depth_first_search.py | Quanta-Algorithm-Design/graphs | 3a5b6362bf60a1e2fb06d2fadab46e72124d637d | [
"MIT"
] | null | null | null | DFS/depth_first_search.py | Quanta-Algorithm-Design/graphs | 3a5b6362bf60a1e2fb06d2fadab46e72124d637d | [
"MIT"
] | 1 | 2020-10-05T06:46:13.000Z | 2020-10-05T06:46:13.000Z | #!/usr/bin/env python3
"""
This module defines functions for depth-first-search in a graph with a given adjacency list
"""
def dfs_visit(node_list, adj_list, root_node, parent):
"""
Takes the graph node list, its adj list, and a node s,
and visits all the nodes reachable from s recursively.
"""
fo... | 29.615385 | 91 | 0.654545 | 117 | 770 | 4.128205 | 0.393162 | 0.115942 | 0.091097 | 0.124224 | 0.287785 | 0.200828 | 0.153209 | 0.153209 | 0.153209 | 0 | 0 | 0.001761 | 0.262338 | 770 | 25 | 92 | 30.8 | 0.848592 | 0.367532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0803020bd1e3c35bd9b149aea49e7ac12f9623a3 | 933 | py | Python | setup.py | yihong0618/-nbnhhsh-cli | 3c8241dbc772b4b693e06b350c4351e75572596a | [
"Apache-2.0"
] | 33 | 2021-07-09T05:40:00.000Z | 2022-02-07T12:49:34.000Z | setup.py | yihong0618/-nbnhhsh-cli | 3c8241dbc772b4b693e06b350c4351e75572596a | [
"Apache-2.0"
] | 1 | 2021-07-09T05:37:02.000Z | 2021-07-09T05:37:02.000Z | setup.py | yihong0618/-nbnhhsh-cli | 3c8241dbc772b4b693e06b350c4351e75572596a | [
"Apache-2.0"
] | 2 | 2021-07-10T10:25:08.000Z | 2021-07-11T03:16:38.000Z | from setuptools import setup, find_packages
VERSION = "0.1.1"
setup(
name="hhsh",
version=VERSION,
description="能不能好好说话? cli",
long_description="能不能好好说话? cli",
keywords="python hhsh cli terminal",
author="itorr,yihong0618",
author_email="zouzou0208@gmail.com",
url="https://github.com/y... | 29.15625 | 53 | 0.621651 | 96 | 933 | 5.9375 | 0.677083 | 0.1 | 0.131579 | 0.136842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030683 | 0.231511 | 933 | 31 | 54 | 30.096774 | 0.764296 | 0 | 0 | 0 | 0 | 0 | 0.476956 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.034483 | 0 | 0.034483 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08075a784b23b26531f0e2fcf4a1653e8cbbe078 | 1,118 | py | Python | tests/test_blender.py | dumpmemory/lassl | dfe56f09cc2ade6c777ad8561b24f23d83a34188 | [
"Apache-2.0"
] | null | null | null | tests/test_blender.py | dumpmemory/lassl | dfe56f09cc2ade6c777ad8561b24f23d83a34188 | [
"Apache-2.0"
] | null | null | null | tests/test_blender.py | dumpmemory/lassl | dfe56f09cc2ade6c777ad8561b24f23d83a34188 | [
"Apache-2.0"
] | null | null | null | from collections import Counter
import pytest
from datasets import load_dataset
from lassl.blender import DatasetBlender
def test_blending():
try:
from langid import classify
except ImportError as _:
raise ImportError(
"To test dataset blending, you need to install langid. "
... | 30.216216 | 82 | 0.620751 | 143 | 1,118 | 4.776224 | 0.468531 | 0.064422 | 0.065886 | 0.04978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017162 | 0.218247 | 1,118 | 36 | 83 | 31.055556 | 0.764302 | 0 | 0 | 0 | 0 | 0 | 0.219141 | 0.023256 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.037037 | false | 0.037037 | 0.259259 | 0 | 0.296296 | 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 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
080796109f90dd5533115b48ae3a4657f5fb4224 | 4,542 | py | Python | wisps/data_analysis/path_parser.py | caganze/WISPS | 81b91f8b49c7345ab68b7c4eb480716985e8905c | [
"MIT"
] | null | null | null | wisps/data_analysis/path_parser.py | caganze/WISPS | 81b91f8b49c7345ab68b7c4eb480716985e8905c | [
"MIT"
] | 7 | 2021-02-02T21:51:56.000Z | 2022-01-13T00:57:45.000Z | wisps/data_analysis/path_parser.py | caganze/wisps | 6572201f94a6af6d1c0a306f2f447215d4330bd7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
After the introduction of version 6.2, all wisp data and hst-3d are now on MAST
3D-HST has not added any new data nor changed their directory structure,
but that's not the case for WISP
Aim: parse new directories to make them compatible with v5.0
"""
import os
import glob
from ..utils... | 34.409091 | 170 | 0.647952 | 666 | 4,542 | 4.274775 | 0.208709 | 0.073762 | 0.061819 | 0.04215 | 0.505796 | 0.488233 | 0.432385 | 0.432385 | 0.432385 | 0.432385 | 0 | 0.034817 | 0.158961 | 4,542 | 132 | 171 | 34.409091 | 0.710471 | 0.247688 | 0 | 0.350649 | 0 | 0 | 0.188075 | 0.082171 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064935 | false | 0 | 0.038961 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0811dfdcb7e741d544fe728950a10ae174c04263 | 3,284 | py | Python | fileForRepair/src/parking.py | ChangSeonKim/5G_UWC_project | 0504a1b1ed30787f30e18a178897978de55660ef | [
"Apache-2.0"
] | null | null | null | fileForRepair/src/parking.py | ChangSeonKim/5G_UWC_project | 0504a1b1ed30787f30e18a178897978de55660ef | [
"Apache-2.0"
] | null | null | null | fileForRepair/src/parking.py | ChangSeonKim/5G_UWC_project | 0504a1b1ed30787f30e18a178897978de55660ef | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python3
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import LaserScan
import numpy as np
import math
from std_msgs.msg import String
def callback(data):
laser_arr_f = np.array(data.ranges[0:10])
laser_arr_l= np.array(data.ranges[85:95])
laser_arr_r = np.array(d... | 29.061947 | 76 | 0.546894 | 452 | 3,284 | 3.829646 | 0.205752 | 0.057192 | 0.063547 | 0.055459 | 0.631427 | 0.59792 | 0.573657 | 0.550549 | 0.537262 | 0.537262 | 0 | 0.050409 | 0.329476 | 3,284 | 113 | 77 | 29.061947 | 0.735695 | 0.350183 | 0 | 0.508475 | 0 | 0 | 0.02358 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0.033898 | 0.101695 | 0 | 0.152542 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08138545899e44b68cb9f2c6902d9d5be0b380f7 | 2,622 | py | Python | opennsa/provreg.py | jmacauley/opennsa | 853c0fc8e065e74815cbc3f769939f64ac6aadeb | [
"BSD-3-Clause"
] | null | null | null | opennsa/provreg.py | jmacauley/opennsa | 853c0fc8e065e74815cbc3f769939f64ac6aadeb | [
"BSD-3-Clause"
] | null | null | null | opennsa/provreg.py | jmacauley/opennsa | 853c0fc8e065e74815cbc3f769939f64ac6aadeb | [
"BSD-3-Clause"
] | null | null | null | """
Registry for tracking providers dynamically in OpenNSA.
Keeping track of providers in a dynamical way in an NSI implementation is a
huge pain in the ass. This is a combination of things, such as seperate
identities and endpoints, callbacks, and the combination of local providers.
The class ProviderRegistry tries ... | 34.051948 | 108 | 0.672006 | 332 | 2,622 | 5.14759 | 0.337349 | 0.093622 | 0.077238 | 0.036864 | 0.228204 | 0.21416 | 0.113517 | 0.113517 | 0.065535 | 0.065535 | 0 | 0 | 0.250191 | 2,622 | 76 | 109 | 34.5 | 0.869278 | 0.2746 | 0 | 0 | 0 | 0 | 0.102178 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151515 | false | 0 | 0.060606 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
081559dc3ab661ae3a1df9c2d52bc8d2ba1f2ae4 | 997 | py | Python | tests/test_task_tracker.py | jmchilton/shedclient-beta | 50041b488652f8bf40555b0c1ef001290f1c3f6a | [
"CC-BY-3.0"
] | 2 | 2015-12-21T02:18:54.000Z | 2016-09-08T13:56:36.000Z | tests/test_task_tracker.py | jmchilton/shedclient-beta | 50041b488652f8bf40555b0c1ef001290f1c3f6a | [
"CC-BY-3.0"
] | 1 | 2015-12-21T19:26:21.000Z | 2015-12-21T19:26:21.000Z | tests/test_task_tracker.py | jmchilton/shedclient-beta | 50041b488652f8bf40555b0c1ef001290f1c3f6a | [
"CC-BY-3.0"
] | null | null | null | from test_utils import TempDirectoryContext
from shedclient import task_tracker
def test_task_tracker():
with TempDirectoryContext() as context:
config = dict(
task_tracking_directory=context.temp_directory
)
tracker = task_tracker.build_task_tracker(config)
assert len... | 33.233333 | 76 | 0.657974 | 120 | 997 | 5.175 | 0.308333 | 0.070853 | 0.10306 | 0.128824 | 0.299517 | 0.299517 | 0.299517 | 0.196457 | 0.196457 | 0.196457 | 0 | 0.028461 | 0.224674 | 997 | 29 | 77 | 34.37931 | 0.774903 | 0 | 0 | 0.190476 | 0 | 0 | 0.066199 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.047619 | false | 0 | 0.095238 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08212ae6445b938c3145af03c666f1c2c0d5163b | 439 | py | Python | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/conftest.py | SirTelemak/cookiecutter-python-template | d7d8c4493250654a4ee3badb36c4c4da1ccb8d3d | [
"MIT"
] | 2 | 2020-06-04T19:17:13.000Z | 2020-06-05T08:05:16.000Z | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/conftest.py | SirTelemak/cookiecutter-python-template | d7d8c4493250654a4ee3badb36c4c4da1ccb8d3d | [
"MIT"
] | 1 | 2020-08-06T15:01:47.000Z | 2020-08-06T15:01:47.000Z | {{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/conftest.py | SirTelemak/cookiecutter-python-template | d7d8c4493250654a4ee3badb36c4c4da1ccb8d3d | [
"MIT"
] | 2 | 2020-06-15T19:26:33.000Z | 2020-11-20T20:24:03.000Z | import logging
import pytest
from loguru import logger
@pytest.fixture(name='caplog', autouse=True)
def loguru_caplog(caplog):
class PropogateHandler(logging.Handler):
def emit(self, record):
logging.getLogger(record.name).handle(record)
logger.remove()
handler_id = logger.add(Prop... | 21.95 | 84 | 0.708428 | 51 | 439 | 6.039216 | 0.568627 | 0.077922 | 0.123377 | 0.136364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177677 | 439 | 19 | 85 | 23.105263 | 0.853186 | 0 | 0 | 0 | 0 | 0 | 0.034169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.230769 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0822f39156313d04e61ff6ddaaed66e14edc3a38 | 3,692 | py | Python | scripts/convert_queries.py | galuscakova/podcasts | 967cc04e2b0f7cf963a189ac5270cfa69f81a540 | [
"BSD-4-Clause-UC"
] | null | null | null | scripts/convert_queries.py | galuscakova/podcasts | 967cc04e2b0f7cf963a189ac5270cfa69f81a540 | [
"BSD-4-Clause-UC"
] | null | null | null | scripts/convert_queries.py | galuscakova/podcasts | 967cc04e2b0f7cf963a189ac5270cfa69f81a540 | [
"BSD-4-Clause-UC"
] | 1 | 2021-05-27T07:44:51.000Z | 2021-05-27T07:44:51.000Z | import getopt
import sys
import os
import re
import string
import xml.etree.ElementTree as ET
input_filename = ""
expansion_filename = ""
output_type = "combine"
exclude = set(string.punctuation)
options, remainder = getopt.getopt(sys.argv[1:], 'i:e:t:', ['inputfile=', 'expansionfile=', 'type='])
for opt, arg in op... | 34.830189 | 119 | 0.600488 | 421 | 3,692 | 5.092637 | 0.228029 | 0.084888 | 0.079291 | 0.039179 | 0.245802 | 0.197761 | 0.179104 | 0.114739 | 0.114739 | 0.114739 | 0 | 0.006995 | 0.225623 | 3,692 | 105 | 120 | 35.161905 | 0.742917 | 0 | 0 | 0.073171 | 0 | 0.012195 | 0.150447 | 0.005693 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012195 | false | 0 | 0.073171 | 0 | 0.109756 | 0.109756 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0823b5eeb8c1036e06aae43d61945a3ec0226291 | 2,124 | py | Python | tests/decloud_unittest.py | CNES/decloud | 6b06ae98bfe68821b4ebd0e7ba06723809cb9b42 | [
"Apache-2.0"
] | 8 | 2022-02-25T13:15:07.000Z | 2022-03-20T18:29:49.000Z | tests/decloud_unittest.py | CNES/decloud | 6b06ae98bfe68821b4ebd0e7ba06723809cb9b42 | [
"Apache-2.0"
] | 1 | 2022-02-25T13:21:33.000Z | 2022-02-25T13:21:33.000Z | tests/decloud_unittest.py | CNES/decloud | 6b06ae98bfe68821b4ebd0e7ba06723809cb9b42 | [
"Apache-2.0"
] | 1 | 2022-03-31T23:43:12.000Z | 2022-03-31T23:43:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import subprocess
import unittest
import filecmp
import gdal
import otbApplication as otb
from abc import ABC
from decloud.core.system import get_env_var, pathify, basename
class DecloudTest(ABC, unittest.TestCase):
DECLOUD_DATA_DIR = get_env_var("DECLOUD_... | 38.618182 | 107 | 0.672787 | 246 | 2,124 | 5.621951 | 0.353659 | 0.069414 | 0.061461 | 0.041938 | 0.122921 | 0.122921 | 0.122921 | 0.122921 | 0.122921 | 0.122921 | 0 | 0.004192 | 0.213748 | 2,124 | 54 | 108 | 39.333333 | 0.823952 | 0.020245 | 0 | 0.051282 | 0 | 0.051282 | 0.154401 | 0.022607 | 0 | 0 | 0 | 0 | 0.102564 | 1 | 0.102564 | false | 0 | 0.205128 | 0.025641 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08248cc60a1189c226093e9c782fd70e1acdd43e | 2,609 | py | Python | src/cameraCalibrator.py | mdaros2016/CarND-Advanced-Lane-Lines | b27d57f1c6730f302f18fb6b8cbbfcb9361d57bf | [
"MIT"
] | null | null | null | src/cameraCalibrator.py | mdaros2016/CarND-Advanced-Lane-Lines | b27d57f1c6730f302f18fb6b8cbbfcb9361d57bf | [
"MIT"
] | null | null | null | src/cameraCalibrator.py | mdaros2016/CarND-Advanced-Lane-Lines | b27d57f1c6730f302f18fb6b8cbbfcb9361d57bf | [
"MIT"
] | null | null | null | import glob
import cv2
import numpy as np
class CameraCalibrator:
'''
Class for correcting the distortion of the pictures taken from the camera.
'''
def __init__(self, calibration_pictures_path_pattern='../camera_cal/calibration*.jpg'):
'''
:param calibration_pictures_path_pattern: F... | 38.367647 | 143 | 0.63166 | 339 | 2,609 | 4.778761 | 0.412979 | 0.058642 | 0.070988 | 0.092593 | 0.062963 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021402 | 0.283634 | 2,609 | 67 | 144 | 38.940299 | 0.845372 | 0.40207 | 0 | 0 | 0 | 0 | 0.020906 | 0.020906 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.096774 | 0 | 0.258065 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0827c8ec658edf16eba00017e1a771b5d2f84def | 591 | py | Python | nicos_ess/dream/setups/beam_monitor.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_ess/dream/setups/beam_monitor.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_ess/dream/setups/beam_monitor.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | description = 'Instrument shutter'
prefix = "IOC"
devices = dict(
beam_monitor_1=device(
'nicos_ess.devices.epics.motor.EpicsMotor',
description="Beam monitor continuous position feedback",
motorpv=f'{prefix}:m8',
abslimits=(-10, 10),
unit='mm',
speed=5.,
),
... | 24.625 | 64 | 0.566836 | 63 | 591 | 5.206349 | 0.68254 | 0.134146 | 0.073171 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03163 | 0.304569 | 591 | 23 | 65 | 25.695652 | 0.766423 | 0 | 0 | 0 | 0 | 0 | 0.341794 | 0.118443 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0829534c63fae0dfb66814593c9605ce70347325 | 28,509 | py | Python | biosteam/_system.py | tylerhuntington222/biosteam | 234959180a3210d95e39a012454f455723c92686 | [
"MIT"
] | null | null | null | biosteam/_system.py | tylerhuntington222/biosteam | 234959180a3210d95e39a012454f455723c92686 | [
"MIT"
] | null | null | null | biosteam/_system.py | tylerhuntington222/biosteam | 234959180a3210d95e39a012454f455723c92686 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# BioSTEAM: The Biorefinery Simulation and Techno-Economic Analysis Modules
# Copyright (C) 2020, Yoel Cortes-Pena <yoelcortes@gmail.com>
#
# This module is under the UIUC open-source license. See
# github.com/BioSTEAMDevelopmentGroup/biosteam/blob/master/LICENSE.txt
# for license details.
"""... | 35.725564 | 128 | 0.582377 | 3,240 | 28,509 | 4.912037 | 0.119753 | 0.021112 | 0.004524 | 0.011938 | 0.330066 | 0.283632 | 0.250895 | 0.195287 | 0.167515 | 0.154697 | 0 | 0.002686 | 0.321021 | 28,509 | 798 | 129 | 35.725564 | 0.819497 | 0.20818 | 0 | 0.31028 | 0 | 0 | 0.058415 | 0.008555 | 0 | 0 | 0 | 0 | 0.003738 | 1 | 0.123364 | false | 0.003738 | 0.026168 | 0.007477 | 0.228037 | 0.007477 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
082bb5b00799a75a854f5404ce105bcaeac6c3e7 | 1,005 | py | Python | modules/AI/research/findContour.py | killax-d/Counter-Coins-API | 97acede70e26b23f96883bb14e2bf6ace3759174 | [
"MIT"
] | null | null | null | modules/AI/research/findContour.py | killax-d/Counter-Coins-API | 97acede70e26b23f96883bb14e2bf6ace3759174 | [
"MIT"
] | null | null | null | modules/AI/research/findContour.py | killax-d/Counter-Coins-API | 97acede70e26b23f96883bb14e2bf6ace3759174 | [
"MIT"
] | null | null | null | import cv2
import numpy as np
image = cv2.imread('original.png')
gray = cv2.cvtColor(image.copy(), cv2.COLOR_BGR2GRAY)
gray = cv2.equalizeHist(gray)
blur = cv2.GaussianBlur(gray, (19, 19), 0)
# Application d'un seuil pour obtenir une image binaire
thresh = cv2.adaptiveThreshold(blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN... | 30.454545 | 103 | 0.711443 | 144 | 1,005 | 4.895833 | 0.590278 | 0.022695 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06152 | 0.175124 | 1,005 | 33 | 104 | 30.454545 | 0.788902 | 0.155224 | 0 | 0.086957 | 0 | 0 | 0.026005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.043478 | 0.086957 | 0 | 0.086957 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
083461c10e66e08e6e0c8ad2d8f84b46b0b09e65 | 8,413 | py | Python | python/src/ties/cli/test/ties_convert_tests.py | Noblis/ties-lib | e7c6165ebcd80e11b792fd4bcddf6ce634da0c60 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-04-10T19:02:27.000Z | 2020-04-10T19:02:27.000Z | python/src/ties/cli/test/ties_convert_tests.py | Noblis/ties-lib | e7c6165ebcd80e11b792fd4bcddf6ce634da0c60 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | python/src/ties/cli/test/ties_convert_tests.py | Noblis/ties-lib | e7c6165ebcd80e11b792fd4bcddf6ce634da0c60 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | ################################################################################
# Copyright 2019 Noblis, Inc #
# #
# Licensed under the Apache License, Version 2.0 (the "License"); ... | 36.578261 | 111 | 0.562463 | 1,016 | 8,413 | 4.431102 | 0.188976 | 0.031986 | 0.03665 | 0.049978 | 0.496224 | 0.491337 | 0.491337 | 0.48534 | 0.469347 | 0.422923 | 0 | 0.010215 | 0.313443 | 8,413 | 229 | 112 | 36.737991 | 0.769217 | 0.127303 | 0 | 0.445055 | 0 | 0.016484 | 0.292744 | 0.050329 | 0 | 0 | 0 | 0 | 0.010989 | 1 | 0.104396 | false | 0.010989 | 0.043956 | 0 | 0.153846 | 0.005495 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0834a96e609f196a4e397fc0d0398ea157ccd7e5 | 2,316 | py | Python | Edge Detection.py | paulmtree/Lung-Segmentation-Project | 2cffe09ce6a4818200d88b9e4e87155feb594366 | [
"MIT"
] | 14 | 2020-11-10T16:47:54.000Z | 2022-03-15T12:17:29.000Z | Edge Detection.py | paulmtree/Lung-Segmentation-Project | 2cffe09ce6a4818200d88b9e4e87155feb594366 | [
"MIT"
] | 3 | 2020-11-21T09:49:15.000Z | 2021-05-30T23:58:30.000Z | Edge Detection.py | paulmtree/Lung-Segmentation-Project | 2cffe09ce6a4818200d88b9e4e87155feb594366 | [
"MIT"
] | 3 | 2021-11-04T18:08:53.000Z | 2022-01-13T03:22:26.000Z | from PIL import Image, ImageFilter
import numpy as np
import glob
from numpy import array
import matplotlib.pyplot as plt
from skimage import morphology
import scipy.ndimage
def sample_stack(stack, rows=2, cols=2, start_with=0, show_every=1, display1 = True):
if (display1):
new_list = []
new_list.a... | 35.090909 | 128 | 0.658895 | 342 | 2,316 | 4.359649 | 0.318713 | 0.042254 | 0.032193 | 0.04829 | 0.391683 | 0.336687 | 0.317907 | 0.28169 | 0.179745 | 0.179745 | 0 | 0.021568 | 0.179188 | 2,316 | 66 | 129 | 35.090909 | 0.762756 | 0.124784 | 0 | 0.195122 | 0 | 0 | 0.151836 | 0.084007 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.170732 | 0 | 0.195122 | 0.02439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08354cb83dbefe75aa87b426bfa4c3e544572c47 | 2,191 | py | Python | benchmark.py | Umass-ITS/Open3D-PointNet2-Semantic3D | 0254926f62cbca695aa1e76a18fec0863be5e455 | [
"MIT"
] | 330 | 2019-04-10T21:31:24.000Z | 2021-07-26T06:16:17.000Z | benchmark.py | largeword/Open3D-PointNet2-Semantic3D | 3a9751dc724877933fc883320100796cef23489d | [
"MIT"
] | 44 | 2019-04-10T15:28:36.000Z | 2021-06-22T17:39:05.000Z | benchmark.py | largeword/Open3D-PointNet2-Semantic3D | 3a9751dc724877933fc883320100796cef23489d | [
"MIT"
] | 78 | 2019-04-08T09:39:29.000Z | 2021-06-08T02:39:14.000Z | import json
import numpy as np
import tensorflow as tf
import time
from predict import Predictor
if __name__ == "__main__":
checkpoint = "logs/semantic_backup_full_submit_dec_10/best_model_epoch_275.ckpt"
hyper_params = json.loads(open("semantic.json").read())
predictor = Predictor(
checkpoint_pa... | 30.013699 | 86 | 0.652214 | 274 | 2,191 | 4.912409 | 0.408759 | 0.066865 | 0.071322 | 0.077266 | 0.408618 | 0.36107 | 0.36107 | 0.36107 | 0.36107 | 0.36107 | 0 | 0.009042 | 0.242812 | 2,191 | 72 | 87 | 30.430556 | 0.802291 | 0.082154 | 0 | 0.313725 | 0 | 0 | 0.119381 | 0.032468 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.098039 | 0 | 0.098039 | 0.039216 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
083725212ef9f198c79212406fcc54599eb1abb4 | 2,783 | py | Python | framework/codejam/extract/cyclomatic_complexity.py | neizod/coding-analysis | cc086bcf204e570032d11b12a46ac819cfe93f2b | [
"MIT"
] | 1 | 2015-05-22T05:01:53.000Z | 2015-05-22T05:01:53.000Z | framework/codejam/extract/cyclomatic_complexity.py | neizod/coding-analysis | cc086bcf204e570032d11b12a46ac819cfe93f2b | [
"MIT"
] | null | null | null | framework/codejam/extract/cyclomatic_complexity.py | neizod/coding-analysis | cc086bcf204e570032d11b12a46ac819cfe93f2b | [
"MIT"
] | null | null | null | import os
import json
import logging
from framework._utils import FunctionHook
class CodeJamExtractCyclomaticComplexity(FunctionHook):
''' This method will extract cyclomatic complexity from submitted code.
Need to run `extract language` first, since not every language has
implement with the extr... | 42.815385 | 75 | 0.606899 | 304 | 2,783 | 5.467105 | 0.361842 | 0.028881 | 0.04633 | 0.039711 | 0.33574 | 0.220217 | 0.198556 | 0.198556 | 0.198556 | 0.198556 | 0 | 0 | 0.285304 | 2,783 | 64 | 76 | 43.484375 | 0.835596 | 0.126123 | 0 | 0.196078 | 0 | 0 | 0.110034 | 0.017707 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.196078 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
083e03b527a87a9ebea41c58c4a9944e76e7007f | 1,948 | py | Python | extrator/test/test_pipeline.py | MinisterioPublicoRJ/robotj | 946e9547eea6f548609f7ccfaf1c6a13fffece65 | [
"MIT"
] | 3 | 2018-03-13T12:17:13.000Z | 2021-04-18T19:55:04.000Z | extrator/test/test_pipeline.py | MinisterioPublicoRJ/robotj | 946e9547eea6f548609f7ccfaf1c6a13fffece65 | [
"MIT"
] | 1 | 2018-06-19T13:09:10.000Z | 2018-06-19T13:09:10.000Z | extrator/test/test_pipeline.py | MinisterioPublicoRJ/robotj | 946e9547eea6f548609f7ccfaf1c6a13fffece65 | [
"MIT"
] | 1 | 2021-04-18T19:55:09.000Z | 2021-04-18T19:55:09.000Z | from unittest.mock import patch, MagicMock
from unittest import TestCase
from ..crawler.pipeliner import pipeline
from ..settings import URL_PROCESSO
class Pipeline(TestCase):
@patch('robotj.extrator.crawler.pipeliner.parse_itens',
return_value={'d': 4})
@patch('robotj.extrator.crawler.pipeliner.pa... | 38.96 | 76 | 0.661704 | 242 | 1,948 | 4.950413 | 0.322314 | 0.106845 | 0.106845 | 0.133556 | 0.301336 | 0.173623 | 0 | 0 | 0 | 0 | 0 | 0.026298 | 0.219199 | 1,948 | 49 | 77 | 39.755102 | 0.761341 | 0 | 0 | 0 | 0 | 0 | 0.232033 | 0.178131 | 0 | 0 | 0 | 0 | 0.219512 | 1 | 0.02439 | false | 0 | 0.097561 | 0 | 0.146341 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08418a8370fcf775a2fd7e29466ecc715efe0e4f | 2,575 | py | Python | tests/utils_test.py | asrashley/dash-live | 1ffbc57896e4e46855a42af6ef79a1865ebfce55 | [
"Apache-2.0"
] | 2 | 2019-11-02T06:26:29.000Z | 2020-05-15T16:54:20.000Z | tests/utils_test.py | asrashley/dash-live | 1ffbc57896e4e46855a42af6ef79a1865ebfce55 | [
"Apache-2.0"
] | 1 | 2020-01-20T17:20:54.000Z | 2020-01-21T08:38:30.000Z | tests/utils_test.py | asrashley/dash-live | 1ffbc57896e4e46855a42af6ef79a1865ebfce55 | [
"Apache-2.0"
] | null | null | null |
try:
import cStringIO as StringIO
except ImportError:
import StringIO
import datetime
import os
import sys
import unittest
_src = os.path.join(os.path.dirname(__file__),"..", "src")
if not _src in sys.path:
sys.path.append(_src)
import utils
class DateTimeTests(unittest.TestCase):
def test_isoforma... | 35.763889 | 97 | 0.597282 | 337 | 2,575 | 4.468843 | 0.362018 | 0.099602 | 0.063745 | 0.029216 | 0.21846 | 0.205843 | 0.179283 | 0.13413 | 0.095618 | 0.095618 | 0 | 0.087838 | 0.252816 | 2,575 | 71 | 98 | 36.267606 | 0.694906 | 0.041165 | 0 | 0.180328 | 0 | 0 | 0.070183 | 0.009736 | 0 | 0 | 0.001623 | 0 | 0.196721 | 1 | 0.032787 | false | 0 | 0.131148 | 0 | 0.196721 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0845053b64f5370f1498b8e4729e90a827f0c839 | 6,329 | py | Python | erpnext_taxjar/api.py | DigiThinkIT/erpnext_taxjar | 5313dbdd931745e9655d3f5fd53c830abb0d7ee7 | [
"MIT"
] | null | null | null | erpnext_taxjar/api.py | DigiThinkIT/erpnext_taxjar | 5313dbdd931745e9655d3f5fd53c830abb0d7ee7 | [
"MIT"
] | 8 | 2017-07-01T11:13:14.000Z | 2020-11-19T13:26:29.000Z | erpnext_taxjar/api.py | DigiThinkIT/erpnext_taxjar | 5313dbdd931745e9655d3f5fd53c830abb0d7ee7 | [
"MIT"
] | 13 | 2017-06-30T15:47:00.000Z | 2022-02-22T16:24:41.000Z | import traceback
import pycountry
import taxjar
import frappe
from erpnext import get_default_company
from frappe import _
from frappe.contacts.doctype.address.address import get_company_address
TAX_ACCOUNT_HEAD = frappe.db.get_single_value("TaxJar Settings", "tax_account_head")
SHIP_ACCOUNT_HEAD = frappe.db.get_sin... | 26.931915 | 133 | 0.746721 | 927 | 6,329 | 4.848975 | 0.199569 | 0.044049 | 0.046719 | 0.034038 | 0.322358 | 0.249166 | 0.241824 | 0.194883 | 0.194883 | 0.173971 | 0 | 0.001676 | 0.151367 | 6,329 | 234 | 134 | 27.047009 | 0.835226 | 0.123084 | 0 | 0.297468 | 0 | 0 | 0.137308 | 0.026378 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063291 | false | 0.006329 | 0.044304 | 0 | 0.208861 | 0.006329 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08453ede8c646dbf40688a3665092cf3d4f4e359 | 3,543 | py | Python | tests/lib_test.py | grundrauschen/center-points | 5a12f68ac012a0a2bf52d8a8381d0272e309ac18 | [
"MIT"
] | null | null | null | tests/lib_test.py | grundrauschen/center-points | 5a12f68ac012a0a2bf52d8a8381d0272e309ac18 | [
"MIT"
] | 2 | 2015-06-03T10:57:13.000Z | 2015-09-15T12:43:22.000Z | tests/lib_test.py | fu-berlin-swp-2014/center-points | 0fa523314a3168d4d229b6f61d0d05d314a8b35a | [
"MIT"
] | null | null | null | import unittest
import numpy as np
import numpy.testing as nptest
import centerpoints.lib as lib
class TestLibrary(unittest.TestCase):
def setUp(self):
# { dimension -> points }
self.d_plus_2_points = {}
for d in [3, 5, 10, 100]:
# we need d+2 points, first take all bases
... | 36.90625 | 76 | 0.519616 | 444 | 3,543 | 3.941441 | 0.195946 | 0.016 | 0.015429 | 0.011429 | 0.322857 | 0.276 | 0.133143 | 0.128571 | 0.128571 | 0.128571 | 0 | 0.043848 | 0.369179 | 3,543 | 95 | 77 | 37.294737 | 0.73915 | 0.05899 | 0 | 0.202899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 1 | 0.072464 | false | 0 | 0.057971 | 0 | 0.144928 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
084547589496d6e3bddafc72879279f994ed30e1 | 711 | py | Python | genome-experimentation/cleaning-genome-data.py | shivamsyal/summer21 | 68cdcae1524e720066e57baa190f15477b69515a | [
"MIT"
] | null | null | null | genome-experimentation/cleaning-genome-data.py | shivamsyal/summer21 | 68cdcae1524e720066e57baa190f15477b69515a | [
"MIT"
] | null | null | null | genome-experimentation/cleaning-genome-data.py | shivamsyal/summer21 | 68cdcae1524e720066e57baa190f15477b69515a | [
"MIT"
] | 2 | 2022-01-10T18:16:18.000Z | 2022-03-20T01:17:28.000Z | # test comment
import os
filename = input("File to format: ")
os.system("gunzip "+filename)
n = int(input("What number genome is this? "))
os.system("mv "+filename[:-3]+" genome"+str(n)+".fna")
original = "genome"+str(n)+".fna"
copy = "genome"+str(n)+"_copy.fna"
filtered = "genome"+str(n)+"_filtered.fna"
rem = ['>']
wi... | 30.913043 | 54 | 0.624473 | 119 | 711 | 3.714286 | 0.453782 | 0.081448 | 0.090498 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006826 | 0.175809 | 711 | 22 | 55 | 32.318182 | 0.74744 | 0.016878 | 0 | 0 | 0 | 0 | 0.164993 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047619 | 0 | 0.047619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
084592c05031adcf4e22889393a72a2880d58eb8 | 758 | py | Python | villas/controller/components/managers/generic.py | VILLASframework/VILLAScontroller | e672439797f209afdd5bc62078f7d49c60269aa4 | [
"Apache-2.0"
] | null | null | null | villas/controller/components/managers/generic.py | VILLASframework/VILLAScontroller | e672439797f209afdd5bc62078f7d49c60269aa4 | [
"Apache-2.0"
] | null | null | null | villas/controller/components/managers/generic.py | VILLASframework/VILLAScontroller | e672439797f209afdd5bc62078f7d49c60269aa4 | [
"Apache-2.0"
] | null | null | null | from villas.controller.components.manager import Manager
from villas.controller.component import Component
class GenericManager(Manager):
def create(self, payload):
component = Component.from_dict(payload.get('parameters'))
try:
self.add_component(component)
except KeyError:
... | 28.074074 | 76 | 0.62533 | 81 | 758 | 5.814815 | 0.432099 | 0.042463 | 0.084926 | 0.101911 | 0.123142 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.283641 | 758 | 26 | 77 | 29.153846 | 0.867403 | 0 | 0 | 0.222222 | 0 | 0 | 0.135884 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0846011f39bb03a7af3bf569426365af42543fe1 | 1,503 | py | Python | udacity-program_self_driving_car_engineer_v2.0/module02-computer vision/exercise02-data acquisiton and visualization/visualization.py | linksdl/futuretec-project-self_driving_cars_projects | 38e8f14543132ec86a8bada8d708eefaef23fee8 | [
"MIT"
] | null | null | null | udacity-program_self_driving_car_engineer_v2.0/module02-computer vision/exercise02-data acquisiton and visualization/visualization.py | linksdl/futuretec-project-self_driving_cars_projects | 38e8f14543132ec86a8bada8d708eefaef23fee8 | [
"MIT"
] | null | null | null | udacity-program_self_driving_car_engineer_v2.0/module02-computer vision/exercise02-data acquisiton and visualization/visualization.py | linksdl/futuretec-project-self_driving_cars_projects | 38e8f14543132ec86a8bada8d708eefaef23fee8 | [
"MIT"
] | null | null | null | """
# !/usr/bin/env python
# -*- coding: utf-8 -*-
@Time : 2022/2/23 19:35
@Author : shengdl999links@gmail.com
@ProjectName : udacity-program_self_driving_car_engineer_v1.0_source.0
@File : visualization.py
"""
import glob
import os.path
import matplotlib.pyplot as plt
from matplotlib.patches import ... | 25.05 | 98 | 0.594145 | 218 | 1,503 | 3.958716 | 0.53211 | 0.076477 | 0.013905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04529 | 0.265469 | 1,503 | 59 | 99 | 25.474576 | 0.736413 | 0.27678 | 0 | 0 | 0 | 0 | 0.048387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.193548 | 0 | 0.225806 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
084746dfc5f458e9131b1743d5567db36da8ab9c | 898 | py | Python | setup.py | georgenicolaou/python-fakeports | 24eecf879e0d2d2a100be06952fb3677019457e2 | [
"MIT"
] | 3 | 2020-02-03T08:25:10.000Z | 2021-09-29T15:59:01.000Z | setup.py | georgenicolaou/python-fakeports | 24eecf879e0d2d2a100be06952fb3677019457e2 | [
"MIT"
] | 2 | 2021-01-18T19:27:44.000Z | 2021-01-18T19:27:44.000Z | setup.py | georgenicolaou/python-fakeports | 24eecf879e0d2d2a100be06952fb3677019457e2 | [
"MIT"
] | null | null | null | from setuptools import setup
long_description = 'TODO'
# with open("README.md", "r") as rfd:
# long_description = rfd.read()
REQUIREMENTS = [r.strip() for r in open("requirements.txt").readlines()]
setup(
name='python-fakeports',
version="0.1",
packages=['python_fakeports'],
url='',
license='G... | 28.967742 | 72 | 0.644766 | 99 | 898 | 5.767677 | 0.69697 | 0.105079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004132 | 0.191537 | 898 | 30 | 73 | 29.933333 | 0.782369 | 0.076837 | 0 | 0 | 0 | 0 | 0.416465 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
08486cbf36ba6ba189128910a8b98a815a664466 | 938 | py | Python | python/17_letter_combinations_of_a_phone_number.py | dchapp/blind75 | aaa409cf2db4ef6d0f86177f4217eceeb391caa8 | [
"MIT"
] | null | null | null | python/17_letter_combinations_of_a_phone_number.py | dchapp/blind75 | aaa409cf2db4ef6d0f86177f4217eceeb391caa8 | [
"MIT"
] | null | null | null | python/17_letter_combinations_of_a_phone_number.py | dchapp/blind75 | aaa409cf2db4ef6d0f86177f4217eceeb391caa8 | [
"MIT"
] | null | null | null | num_to_letters = {
'2': ['a', 'b', 'c'],
'3': ['d', 'e', 'f'],
'4': ['g', 'h', 'i'],
'5': ['j', 'k', 'l'],
'6': ['m', 'n', 'o'],
'7': ['p', 'q', 'r', 's'],
'8': ['t', 'u', 'v'],
'9': ['w', 'x', 'y', 'z'],
}
class Solution:
def letterCombinations(self,... | 28.424242 | 65 | 0.410448 | 108 | 938 | 3.453704 | 0.583333 | 0.107239 | 0.112601 | 0.107239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022807 | 0.392324 | 938 | 32 | 66 | 29.3125 | 0.631579 | 0 | 0 | 0 | 0 | 0 | 0.036247 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.259259 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
084eddbd29309d0a8c29e8b0baeae41ed4f83c9f | 7,420 | py | Python | logicscen.py | exposit/pythia-oracle | 60e4e806c9ed1627f2649822ab1901d28933daac | [
"MIT"
] | 32 | 2016-08-27T01:31:42.000Z | 2022-03-21T08:59:28.000Z | logicscen.py | exposit/pythia-oracle | 60e4e806c9ed1627f2649822ab1901d28933daac | [
"MIT"
] | 3 | 2016-08-27T00:51:47.000Z | 2019-08-26T13:23:04.000Z | logicscen.py | exposit/pythia-oracle | 60e4e806c9ed1627f2649822ab1901d28933daac | [
"MIT"
] | 10 | 2016-08-28T14:14:41.000Z | 2021-03-18T03:24:22.000Z | #!/usr/bin/env python
#-*- coding: utf-8 -*-
#---------------------------------------------------------------------------------------------------
# --> Logic to handle scenarios
#---------------------------------------------------------------------------------------------------
import imports
from imports import *
imp... | 27.279412 | 119 | 0.508491 | 728 | 7,420 | 5.151099 | 0.171703 | 0.0448 | 0.0504 | 0.034667 | 0.5064 | 0.4888 | 0.4816 | 0.4096 | 0.378933 | 0.355467 | 0 | 0.00902 | 0.327628 | 7,420 | 271 | 120 | 27.380074 | 0.742634 | 0.053774 | 0 | 0.569307 | 0 | 0 | 0.073741 | 0.013408 | 0.004951 | 0 | 0 | 0 | 0 | 1 | 0.029703 | false | 0.044554 | 0.024752 | 0 | 0.064356 | 0.004951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0850f9781ec228546bf41eccc932a22fd036e4a8 | 7,980 | py | Python | datyy/views/projects.py | VladimirSiv/datyy | 4f3b54557850212ca3ce4c0d16cd56eb9989d7c4 | [
"MIT"
] | null | null | null | datyy/views/projects.py | VladimirSiv/datyy | 4f3b54557850212ca3ce4c0d16cd56eb9989d7c4 | [
"MIT"
] | null | null | null | datyy/views/projects.py | VladimirSiv/datyy | 4f3b54557850212ca3ce4c0d16cd56eb9989d7c4 | [
"MIT"
] | null | null | null | import dash
import dash_html_components as html
import dash_bootstrap_components as dbc
import numpy as np
from server import app
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
from components.cards import simple_info_card
from components.dropdowns import dropdown_single
fr... | 28.098592 | 90 | 0.52193 | 764 | 7,980 | 5.328534 | 0.175393 | 0.025547 | 0.023581 | 0.023581 | 0.355687 | 0.336281 | 0.283468 | 0.226234 | 0.125031 | 0.067305 | 0 | 0.005659 | 0.37995 | 7,980 | 283 | 91 | 28.19788 | 0.817098 | 0.180827 | 0 | 0.378378 | 0 | 0 | 0.150685 | 0.010513 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032432 | false | 0 | 0.086486 | 0 | 0.156757 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
085550c02672da4291f033dfdf10337c089c2aa8 | 16,119 | py | Python | multiacctcf.py | DonMills/multiacct-CF-orchestrate | 4acce3c984c1801ff66cf9d210e3a0d1a6f9246b | [
"MIT"
] | 11 | 2017-07-19T07:05:44.000Z | 2022-02-07T19:35:51.000Z | multiacctcf.py | DonMills/multiacct-CF-orchestrate | 4acce3c984c1801ff66cf9d210e3a0d1a6f9246b | [
"MIT"
] | null | null | null | multiacctcf.py | DonMills/multiacct-CF-orchestrate | 4acce3c984c1801ff66cf9d210e3a0d1a6f9246b | [
"MIT"
] | 2 | 2017-07-19T15:01:52.000Z | 2022-02-07T19:35:53.000Z | #!/usr/bin/python
from __future__ import print_function
import threading
import boto3
import botocore
import argparse
from time import ctime
###############
# Some Global Vars
##############
lock = threading.Lock()
awsaccts = [{'acct': 'acct1ID',
'name': 'master',
'cffile': 'location of clou... | 39.70197 | 179 | 0.470749 | 1,463 | 16,119 | 5.138756 | 0.20164 | 0.026337 | 0.013966 | 0.033653 | 0.415137 | 0.361798 | 0.340516 | 0.301809 | 0.216547 | 0.196329 | 0 | 0.004021 | 0.382902 | 16,119 | 405 | 180 | 39.8 | 0.751784 | 0.051182 | 0 | 0.405882 | 0 | 0.020588 | 0.254067 | 0.004549 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011765 | false | 0 | 0.017647 | 0 | 0.029412 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
085769a397608c592ac48390d3b4d6b67aae08eb | 882 | py | Python | NIM/tests/woa_test.py | buctlab/source-seeking-multi-robot-team-simulator | a68c214b9bd19006a94c0adc832681bbaf0d6dc8 | [
"Apache-2.0"
] | null | null | null | NIM/tests/woa_test.py | buctlab/source-seeking-multi-robot-team-simulator | a68c214b9bd19006a94c0adc832681bbaf0d6dc8 | [
"Apache-2.0"
] | null | null | null | NIM/tests/woa_test.py | buctlab/source-seeking-multi-robot-team-simulator | a68c214b9bd19006a94c0adc832681bbaf0d6dc8 | [
"Apache-2.0"
] | null | null | null | import os
from Config import Config
from NIM.algorithms import WhaleOptimizationAlgorithm
from NIM.algorithms.algorithm import logger
if __name__ == '__main__':
with open(Config.default_saved_scene_path, 'r') as f:
data = f.read()
m2d = eval(data)
seed = 5
woa = WhaleOptimizationAlgorithm(m2... | 36.75 | 119 | 0.675737 | 115 | 882 | 4.895652 | 0.530435 | 0.0373 | 0.060391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004335 | 0.21542 | 882 | 23 | 120 | 38.347826 | 0.809249 | 0 | 0 | 0 | 0 | 0 | 0.091837 | 0.043084 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
085893c679735b22d323d01a1e71583ba759cc3a | 6,242 | py | Python | src/COVIDZejunDatagraphs.py | luisflores0330/ista131final | 168ac6afe666e945ae717387b50420804b33c4f3 | [
"Apache-2.0"
] | null | null | null | src/COVIDZejunDatagraphs.py | luisflores0330/ista131final | 168ac6afe666e945ae717387b50420804b33c4f3 | [
"Apache-2.0"
] | null | null | null | src/COVIDZejunDatagraphs.py | luisflores0330/ista131final | 168ac6afe666e945ae717387b50420804b33c4f3 | [
"Apache-2.0"
] | 4 | 2021-12-07T21:44:31.000Z | 2021-12-07T23:20:04.000Z | '''
File: COVIDZejunDatagraphs.py
Author: Zejun Li
Purpose: This file contains 12 different functions to make 5 different graphs about the COVID 19 in Idaho
'''
import pandas as pd, numpy as np, matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime
import datetime as dt
def get_df():
... | 33.026455 | 187 | 0.603172 | 975 | 6,242 | 3.740513 | 0.206154 | 0.03071 | 0.019742 | 0.039485 | 0.610913 | 0.525363 | 0.489443 | 0.46312 | 0.378942 | 0.349328 | 0 | 0.029196 | 0.237264 | 6,242 | 188 | 188 | 33.202128 | 0.73682 | 0.165812 | 0 | 0.376 | 0 | 0 | 0.178499 | 0.040145 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096 | false | 0 | 0.032 | 0.008 | 0.168 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0858b5bc59305248e9f97a28c217e52f4157d9b4 | 1,118 | py | Python | tests/test_pipeline_disk_deduplication.py | kingking888/skyscraper | d710202f9581c3791d2cf7ee3ae33e950e46c0b7 | [
"MIT"
] | 1 | 2021-03-21T07:25:43.000Z | 2021-03-21T07:25:43.000Z | tests/test_pipeline_disk_deduplication.py | kingking888/skyscraper | d710202f9581c3791d2cf7ee3ae33e950e46c0b7 | [
"MIT"
] | null | null | null | tests/test_pipeline_disk_deduplication.py | kingking888/skyscraper | d710202f9581c3791d2cf7ee3ae33e950e46c0b7 | [
"MIT"
] | 1 | 2021-04-24T11:38:18.000Z | 2021-04-24T11:38:18.000Z | import pytest
import json
import datetime
from scrapy.spiders import Spider
import scrapy.exceptions
from skyscraper.items import BasicItem
from scrapy.exceptions import DropItem
from skyscraper.pipelines.filesystem import DiskDeduplicationPipeline
class MockDeduplication():
def __init__(self):
self.s =... | 24.304348 | 74 | 0.686047 | 137 | 1,118 | 5.510949 | 0.416058 | 0.019868 | 0.075497 | 0.091391 | 0.303311 | 0.188079 | 0.188079 | 0.111258 | 0.111258 | 0 | 0 | 0.001117 | 0.199463 | 1,118 | 45 | 75 | 24.844444 | 0.842458 | 0.073345 | 0 | 0.3 | 0 | 0 | 0.121124 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.266667 | 0.033333 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
085b597e5e9aaf7c138a4db4c8f8739331aa2a66 | 2,342 | py | Python | SVM/SVM_Regression/Sklearn_SVM_Regression.py | Jojoxiao/Machine-Learning-for-Beginner-by-Python3 | 71b91c9cba5803bd78d4d31be6dabb1d3989e968 | [
"MIT"
] | 397 | 2018-05-28T02:07:32.000Z | 2022-03-30T09:53:37.000Z | SVM/SVM_Regression/Sklearn_SVM_Regression.py | 976634681/Machine-Learning-for-Beginner-by-Python3 | d9effcbb1b390dc608a0f4c0a28f0ad03892047a | [
"MIT"
] | 4 | 2019-01-14T16:41:02.000Z | 2021-03-11T13:23:06.000Z | SVM/SVM_Regression/Sklearn_SVM_Regression.py | 976634681/Machine-Learning-for-Beginner-by-Python3 | d9effcbb1b390dc608a0f4c0a28f0ad03892047a | [
"MIT"
] | 235 | 2018-06-28T05:31:40.000Z | 2022-03-11T03:20:07.000Z | # -*- coding:utf-8 -*-
# &Author AnFany
# 利用Sklearn包实现支持核函数回归
"""
第一部分:引入库
"""
# 引入部分的北京PM2.5数据
import SVM_Regression_Data as rdata
# 引入库包
from sklearn import svm
import numpy as np
import matplotlib.pyplot as plt
from pylab import mpl
mpl.rcParams['font.sans-serif'] = ['FangSong'] # 中文字体名称
mpl... | 22.519231 | 101 | 0.557643 | 344 | 2,342 | 3.75 | 0.40407 | 0.046512 | 0.037209 | 0.031008 | 0.217054 | 0.20155 | 0.104651 | 0.05969 | 0.05969 | 0.045736 | 0 | 0.035493 | 0.242101 | 2,342 | 103 | 102 | 22.737864 | 0.691268 | 0.085824 | 0 | 0.044444 | 0 | 0 | 0.064767 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.111111 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
085b8a0758f970cf513eb9555d20e921de2dbc2f | 1,655 | py | Python | tests/test_history.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | tests/test_history.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | tests/test_history.py | dfroger/conda | c0f99ff46b217d081501e66f4dcd7bcdb5d9c6aa | [
"BSD-3-Clause"
] | null | null | null | from os.path import dirname
import unittest
from .decorators import skip_if_no_mock
from .helpers import mock
from conda import history
class HistoryTestCase(unittest.TestCase):
def test_works_as_context_manager(self):
h = history.History("/path/to/prefix")
self.assertTrue(getattr(h, '__enter__'... | 31.826923 | 73 | 0.590937 | 200 | 1,655 | 4.65 | 0.365 | 0.045161 | 0.064516 | 0.03871 | 0.272043 | 0.272043 | 0.155914 | 0.122581 | 0.122581 | 0.122581 | 0 | 0.031987 | 0.282175 | 1,655 | 51 | 74 | 32.45098 | 0.750842 | 0 | 0 | 0.128205 | 0 | 0 | 0.123263 | 0 | 0 | 0 | 0 | 0 | 0.205128 | 1 | 0.153846 | false | 0.025641 | 0.128205 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
085e0152d8a979274c20816965dae9f9c36f8c65 | 6,066 | py | Python | src/bpp/views/raporty/ranking_autorow.py | iplweb/django-bpp | 85f183a99d8d5027ae4772efac1e4a9f21675849 | [
"BSD-3-Clause"
] | 1 | 2017-04-27T19:50:02.000Z | 2017-04-27T19:50:02.000Z | src/bpp/views/raporty/ranking_autorow.py | mpasternak/django-bpp | 434338821d5ad1aaee598f6327151aba0af66f5e | [
"BSD-3-Clause"
] | 41 | 2019-11-07T00:07:02.000Z | 2022-02-27T22:09:39.000Z | src/bpp/views/raporty/ranking_autorow.py | iplweb/bpp | f027415cc3faf1ca79082bf7bacd4be35b1a6fdf | [
"BSD-3-Clause"
] | null | null | null | # -*- encoding: utf-8 -*-
import itertools
try:
from django.core.urlresolvers import reverse
except ImportError:
from django.urls import reverse
from django.db.models.aggregates import Sum
from django.template.defaultfilters import safe
from django.utils.functional import cached_property
from django_tables2 im... | 32.612903 | 88 | 0.616716 | 663 | 6,066 | 5.392157 | 0.260935 | 0.026853 | 0.033566 | 0.017902 | 0.141259 | 0.085874 | 0.043636 | 0.024056 | 0.024056 | 0 | 0 | 0.001817 | 0.274151 | 6,066 | 185 | 89 | 32.789189 | 0.810129 | 0.003792 | 0 | 0.18543 | 0 | 0 | 0.13905 | 0.008442 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072848 | false | 0.006623 | 0.086093 | 0.033113 | 0.337748 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f22aabe1afa4a1593594ef47c8110872cb757c3c | 16,701 | py | Python | client-lib/pypi/nsrr/nsrr.py | nsrr/nsrr-cloud | a1e33bc3ba3220600e8b1973882d2ed76a7277c6 | [
"MIT"
] | null | null | null | client-lib/pypi/nsrr/nsrr.py | nsrr/nsrr-cloud | a1e33bc3ba3220600e8b1973882d2ed76a7277c6 | [
"MIT"
] | null | null | null | client-lib/pypi/nsrr/nsrr.py | nsrr/nsrr-cloud | a1e33bc3ba3220600e8b1973882d2ed76a7277c6 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import requests
from requests.structures import CaseInsensitiveDict
import json
import getpass
from pathlib import Path
import hashlib
import pandas as pd
import gzip
from multiprocessing import Process
# Global variables
#API_SERVER='https://dev-cloud.sleepdata.org/api/v1'
API_SERVER='https://clo... | 42.496183 | 163 | 0.598946 | 2,109 | 16,701 | 4.519678 | 0.105737 | 0.05193 | 0.030214 | 0.033991 | 0.619597 | 0.572073 | 0.511855 | 0.456567 | 0.439677 | 0.415653 | 0 | 0.009641 | 0.285791 | 16,701 | 393 | 164 | 42.496183 | 0.789487 | 0.011257 | 0 | 0.509804 | 0 | 0.016807 | 0.176834 | 0.001454 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0.008403 | 0.02521 | 0 | 0.148459 | 0.151261 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f22b087ab319568e891a7406ef151ad2f4d6b818 | 509 | py | Python | assignment2.py | talsperre/random-walk | 5c810f571c9de28926850e1ad70ff4c29df9c0f4 | [
"MIT"
] | null | null | null | assignment2.py | talsperre/random-walk | 5c810f571c9de28926850e1ad70ff4c29df9c0f4 | [
"MIT"
] | null | null | null | assignment2.py | talsperre/random-walk | 5c810f571c9de28926850e1ad70ff4c29df9c0f4 | [
"MIT"
] | null | null | null | import numpy as np
N = 100
R = 10000
R_range = range(R)
size = (N, 3)
C = np.zeros((N, 3))
k = 1
print ("100")
print ("STEP: ", k)
for i in range(N):
print ("He ", C[i, 0], " ", C[i, 1], " ", C[i, 2])
k += 1
for j in range(R):
A = np.random.uniform(-1, 1, size)
B = np.sum(np.multiply(A, A), axis=1)
B = np.sqrt(B)... | 18.851852 | 53 | 0.489194 | 109 | 509 | 2.256881 | 0.330275 | 0.04878 | 0.105691 | 0.138211 | 0.390244 | 0.390244 | 0.390244 | 0.390244 | 0.390244 | 0.390244 | 0 | 0.084656 | 0.257367 | 509 | 27 | 54 | 18.851852 | 0.566138 | 0 | 0 | 0.4 | 0 | 0 | 0.054902 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.04 | 0.24 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f22fac0a3ced91e4e4e5768a9d363783d0f24bd3 | 1,462 | py | Python | parallel/images_common.py | minrk/ipython-cse17 | 16a9059c7054a8bd4977a3cb8b09c100ea779069 | [
"BSD-3-Clause"
] | 3 | 2017-03-02T07:11:37.000Z | 2017-03-03T06:13:32.000Z | parallel/images_common.py | minrk/ipython-cse17 | 16a9059c7054a8bd4977a3cb8b09c100ea779069 | [
"BSD-3-Clause"
] | null | null | null | parallel/images_common.py | minrk/ipython-cse17 | 16a9059c7054a8bd4977a3cb8b09c100ea779069 | [
"BSD-3-Clause"
] | null | null | null | import os
import matplotlib.pyplot as plt
from skimage.io import imread
def plot_corners(img, corners, show=True):
"""Display the image and plot all contours found"""
plt.imshow(img, cmap='gray')
plt.plot(corners[:,1], corners[:,0], 'r+', markeredgewidth=1.5, markersize=8) # Plot corners
plt.axis('ima... | 29.24 | 96 | 0.666211 | 202 | 1,462 | 4.717822 | 0.430693 | 0.04617 | 0.029381 | 0.044071 | 0.052466 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005277 | 0.222298 | 1,462 | 49 | 97 | 29.836735 | 0.832894 | 0.197674 | 0 | 0 | 0 | 0 | 0.016874 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0 | 0.16129 | 0 | 0.387097 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23235dddab2a9fffc993f7fe1be533663c51d2b | 290 | py | Python | src/calc.py | ceIery/epic7-speed-calculator | 2f91e57117e2b6873772e6a703e47241570ab75f | [
"MIT"
] | null | null | null | src/calc.py | ceIery/epic7-speed-calculator | 2f91e57117e2b6873772e6a703e47241570ab75f | [
"MIT"
] | null | null | null | src/calc.py | ceIery/epic7-speed-calculator | 2f91e57117e2b6873772e6a703e47241570ab75f | [
"MIT"
] | null | null | null | """
Given a base speed value and a list of percentages, calculates the speed value
for each percentage
"""
def get_speeds(percents, base):
speeds = []
for percent in percents:
speeds.append(round(((int)(base) * ((int)(percent) / 100))))
print(speeds)
return speeds
| 24.166667 | 78 | 0.662069 | 39 | 290 | 4.897436 | 0.666667 | 0.104712 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013158 | 0.213793 | 290 | 11 | 79 | 26.363636 | 0.824561 | 0.337931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.333333 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2330e7134a6c2ae1cacee5b851dbdfec9f5f1d4 | 11,762 | py | Python | src/magi/actions/base.py | personalrobotics/magipy | 6f86d6938168f580f667cfc093cf7e9f218e2853 | [
"BSD-3-Clause"
] | null | null | null | src/magi/actions/base.py | personalrobotics/magipy | 6f86d6938168f580f667cfc093cf7e9f218e2853 | [
"BSD-3-Clause"
] | 1 | 2018-01-06T00:24:06.000Z | 2018-01-06T00:24:06.000Z | src/magi/actions/base.py | personalrobotics/magipy | 6f86d6938168f580f667cfc093cf7e9f218e2853 | [
"BSD-3-Clause"
] | null | null | null | """Base classes, context managers, and exceptions for MAGI actions."""
from abc import ABCMeta, abstractmethod
import logging
from openravepy import KinBody, Robot
LOGGER = logging.getLogger(__name__)
LOGGER.setLevel(logging.INFO)
class SaveAndJump(object):
"""
Save the state of the environment and jump th... | 32.672222 | 85 | 0.655841 | 1,359 | 11,762 | 5.591611 | 0.18028 | 0.033162 | 0.01895 | 0.031978 | 0.401763 | 0.312936 | 0.283853 | 0.23911 | 0.20279 | 0.18134 | 0 | 0.000934 | 0.271552 | 11,762 | 359 | 86 | 32.763231 | 0.885971 | 0.466502 | 0 | 0.335821 | 0 | 0 | 0.029735 | 0 | 0 | 0 | 0 | 0 | 0.007463 | 1 | 0.171642 | false | 0.044776 | 0.022388 | 0 | 0.380597 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f233b62fa43bf27f7df361b2d0940e083df21551 | 6,471 | py | Python | src/core/python/core/io/od.py | railtoolkit/OpenLinTim | 27eba8b6038946ce162e9f7bbc0bd23045029d51 | [
"MIT"
] | null | null | null | src/core/python/core/io/od.py | railtoolkit/OpenLinTim | 27eba8b6038946ce162e9f7bbc0bd23045029d51 | [
"MIT"
] | null | null | null | src/core/python/core/io/od.py | railtoolkit/OpenLinTim | 27eba8b6038946ce162e9f7bbc0bd23045029d51 | [
"MIT"
] | null | null | null | from typing import List
from core.exceptions.input_exceptions import (InputFormatException,
InputTypeInconsistencyException)
from core.model.graph import Graph
from core.model.impl.fullOD import FullOD
from core.model.impl.mapOD import MapOD
from core.model.infrastructure ... | 44.020408 | 126 | 0.626642 | 844 | 6,471 | 4.735782 | 0.191943 | 0.056042 | 0.019515 | 0.021016 | 0.487616 | 0.482612 | 0.405054 | 0.398549 | 0.379034 | 0.367025 | 0 | 0.002888 | 0.304281 | 6,471 | 146 | 127 | 44.321918 | 0.88494 | 0.386803 | 0 | 0.333333 | 0 | 0 | 0.031045 | 0.012532 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.027778 | 0.138889 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23575bb8b4e289c914a5be32dd736b94767c391 | 4,395 | py | Python | kriging/_kriging.py | ERSSLE/ordinary_kriging | f983081e4f12b0bae03bd042a6f451c65dcb2759 | [
"MIT"
] | 3 | 2020-09-08T16:55:44.000Z | 2021-12-04T15:35:07.000Z | kriging/_kriging.py | ERSSLE/ordinary_kriging | f983081e4f12b0bae03bd042a6f451c65dcb2759 | [
"MIT"
] | null | null | null | kriging/_kriging.py | ERSSLE/ordinary_kriging | f983081e4f12b0bae03bd042a6f451c65dcb2759 | [
"MIT"
] | 2 | 2021-08-25T09:35:50.000Z | 2021-12-07T08:19:11.000Z | # encoding: utf-8
"""
Ordinary Kriging interpolation is a linear estimation of regionalized variables.
It assumes that the data change into a normal distribution,
and considers that the expected value of regionalized variable Z is unknown.
The interpolation process is similar to the weighted sliding average,
an... | 35.731707 | 100 | 0.597952 | 649 | 4,395 | 3.975347 | 0.269646 | 0.034109 | 0.015504 | 0.009302 | 0.153488 | 0.125969 | 0.115504 | 0.077519 | 0.077519 | 0.041085 | 0 | 0.02766 | 0.251422 | 4,395 | 122 | 101 | 36.02459 | 0.756535 | 0.281456 | 0 | 0 | 0 | 0 | 0.007666 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.057143 | 0.014286 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23806bdb5c4b2e6ddeae98b2f41f0141fe5c5b9 | 1,410 | py | Python | crypto-scrapers/scrapers/spiders/coin_market_cap.py | chnsh/crypto-index-fund | 6c4122b868372ba99aba4f703e85d8ee12af07de | [
"MIT"
] | 14 | 2018-05-27T19:34:59.000Z | 2022-02-09T12:02:38.000Z | crypto-scrapers/scrapers/spiders/coin_market_cap.py | chnsh/crypto-index-fund | 6c4122b868372ba99aba4f703e85d8ee12af07de | [
"MIT"
] | 4 | 2018-05-28T02:44:07.000Z | 2022-03-02T14:55:20.000Z | crypto-scrapers/scrapers/spiders/coin_market_cap.py | chnsh/crypto-index-fund | 6c4122b868372ba99aba4f703e85d8ee12af07de | [
"MIT"
] | 1 | 2022-03-07T05:26:47.000Z | 2022-03-07T05:26:47.000Z | from datetime import datetime
from locale import *
import scrapy
from injector import Injector
from scrapers.items import CoinMarketCapItem
from scrapers.utils import UrlListGenerator
setlocale(LC_NUMERIC, '')
class CoinMarketCapSpider(scrapy.Spider):
name = "cmc"
custom_settings = {
'ITEM_PIPELINE... | 33.571429 | 76 | 0.565248 | 164 | 1,410 | 4.780488 | 0.481707 | 0.061224 | 0.066327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017034 | 0.292199 | 1,410 | 41 | 77 | 34.390244 | 0.768537 | 0 | 0 | 0 | 0 | 0 | 0.078723 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.176471 | 0 | 0.323529 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23af2303a08de830f84db88bf6e00cef4e25589 | 4,361 | py | Python | crawler/cli.py | NicolasLM/crawler | 15ed6441fef3b68bfadc970f597271191fe66cf8 | [
"MIT"
] | null | null | null | crawler/cli.py | NicolasLM/crawler | 15ed6441fef3b68bfadc970f597271191fe66cf8 | [
"MIT"
] | null | null | null | crawler/cli.py | NicolasLM/crawler | 15ed6441fef3b68bfadc970f597271191fe66cf8 | [
"MIT"
] | null | null | null | from collections import OrderedDict
from urllib.parse import urlparse
import click
import rethinkdb as r
import redis
import crawler.conf as conf
# cli does not need to be thread-safe
conn = r.connect(host=conf.RethinkDBConf.HOST,
db=conf.RethinkDBConf.DB)
domains = r.table('domains')
@click.group... | 33.806202 | 79 | 0.64022 | 543 | 4,361 | 5.092081 | 0.252302 | 0.0434 | 0.034358 | 0.024593 | 0.233273 | 0.179747 | 0.124051 | 0.110669 | 0.083906 | 0.083906 | 0 | 0.004661 | 0.212795 | 4,361 | 128 | 80 | 34.070313 | 0.800757 | 0.086907 | 0 | 0.180851 | 0 | 0 | 0.172711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0 | 0.095745 | 0 | 0.180851 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23b010b735f63cc59ac899de4d7a1e041082294 | 9,667 | py | Python | run.py | keyunluo/Pytorch-DDP | ff91affdd2c4cebe1719e9a46f118405c308fd1f | [
"Apache-2.0"
] | null | null | null | run.py | keyunluo/Pytorch-DDP | ff91affdd2c4cebe1719e9a46f118405c308fd1f | [
"Apache-2.0"
] | null | null | null | run.py | keyunluo/Pytorch-DDP | ff91affdd2c4cebe1719e9a46f118405c308fd1f | [
"Apache-2.0"
] | null | null | null | # -8*- coding: utf-8 -*-
import torch
import torch.nn as nn
import torch.optim as optim
import torch.multiprocessing as mp
import torch.backends.cudnn as cudnn
from torch.utils.data import DataLoader, Dataset
from torch.nn.parallel import DistributedDataParallel
from torch.utils.data.distributed import DistributedSamp... | 39.618852 | 150 | 0.602359 | 1,170 | 9,667 | 4.760684 | 0.228205 | 0.010772 | 0.027469 | 0.017953 | 0.175224 | 0.158528 | 0.124237 | 0.124237 | 0.077558 | 0.077558 | 0 | 0.015598 | 0.283749 | 9,667 | 243 | 151 | 39.781893 | 0.78885 | 0.005276 | 0 | 0.121359 | 0 | 0 | 0.037099 | 0 | 0 | 0 | 0 | 0 | 0.004854 | 1 | 0.07767 | false | 0 | 0.048544 | 0.009709 | 0.174757 | 0.014563 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23c95d3f1d786e4a9f7ff9ea7ec7de8d8f85605 | 373 | py | Python | newsletter/urls.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | newsletter/urls.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | newsletter/urls.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | from django.urls import path
from .views import *
app_name = 'newsletter'
urlpatterns = [
path('pixel/', my_image, name='pixel'),
path('click/<str:uuid>/', click_redirect, name='click'),
path('notification/', notification, name='notification'),
path('sendtest/<str:slug>', sendtest, name='sendtest'),
... | 26.642857 | 61 | 0.659517 | 45 | 373 | 5.4 | 0.466667 | 0.057613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142091 | 373 | 13 | 62 | 28.692308 | 0.759375 | 0 | 0 | 0 | 0 | 0 | 0.310992 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f23ec17cf55792ab6ef9150b36b5c3e6f5471fbb | 6,491 | py | Python | vesc_driver/src/mathdir/cubic_spline_planner.py | Taek-16/vesc_study | c4f8e56a2530b17622ca73e9eba57830a1b51ad9 | [
"Apache-2.0"
] | 1 | 2021-02-13T10:48:13.000Z | 2021-02-13T10:48:13.000Z | vesc_driver/src/mathdir/cubic_spline_planner.py | Taek-16/vesc_study | c4f8e56a2530b17622ca73e9eba57830a1b51ad9 | [
"Apache-2.0"
] | null | null | null | vesc_driver/src/mathdir/cubic_spline_planner.py | Taek-16/vesc_study | c4f8e56a2530b17622ca73e9eba57830a1b51ad9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
cubic spline planner
Author: Atsushi Sakai
"""
import math
import numpy as np
import bisect
from scipy.spatial import distance
class Spline:
"""
Cubic Spline class
"""
def __init__(self, x, y):
self.b, self.c, self.d, self.w = [], [], [], []
self.x = x
... | 24.130112 | 131 | 0.475582 | 995 | 6,491 | 3.031156 | 0.162814 | 0.028183 | 0.021883 | 0.01061 | 0.392573 | 0.340849 | 0.306366 | 0.28183 | 0.241379 | 0.187666 | 0 | 0.02636 | 0.362964 | 6,491 | 268 | 132 | 24.220149 | 0.703023 | 0.088122 | 0 | 0.355422 | 0 | 0.006024 | 0.037156 | 0.011378 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096386 | false | 0 | 0.036145 | 0 | 0.271084 | 0.006024 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f240eb401196f0b66c32fe422e4a7253f5e5528f | 1,469 | py | Python | mojave_setup/fonts.py | RuchirChawdhry/macOS-Mojave-Setup | 5e61fe8c20abc42e63fcbd1c7e310aab8cc02a1c | [
"MIT"
] | null | null | null | mojave_setup/fonts.py | RuchirChawdhry/macOS-Mojave-Setup | 5e61fe8c20abc42e63fcbd1c7e310aab8cc02a1c | [
"MIT"
] | null | null | null | mojave_setup/fonts.py | RuchirChawdhry/macOS-Mojave-Setup | 5e61fe8c20abc42e63fcbd1c7e310aab8cc02a1c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import subprocess as sp
class Fonts:
FONTS = [
"source-code-pro",
"source-sans-pro",
"source-serif-pro",
"roboto",
"roboto-mono",
"roboto-slab",
"open-sans",
"open-sans-condensed",
"lato",
... | 22.953125 | 80 | 0.479238 | 143 | 1,469 | 4.888112 | 0.601399 | 0.050072 | 0.031474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003138 | 0.349217 | 1,469 | 63 | 81 | 23.31746 | 0.728033 | 0.029272 | 0 | 0 | 0 | 0 | 0.373596 | 0.016152 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.017857 | 0 | 0.107143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2430c615c25842a6a15c7289e5e98e1e77f49ce | 1,817 | py | Python | src/neighborly/core/residence.py | ShiJbey/neighborly | 5af1e3211f1ef0e25803790850e7cd3d3a49be69 | [
"MIT"
] | null | null | null | src/neighborly/core/residence.py | ShiJbey/neighborly | 5af1e3211f1ef0e25803790850e7cd3d3a49be69 | [
"MIT"
] | null | null | null | src/neighborly/core/residence.py | ShiJbey/neighborly | 5af1e3211f1ef0e25803790850e7cd3d3a49be69 | [
"MIT"
] | null | null | null | from typing import Any, Dict
from ordered_set import OrderedSet
from neighborly.core.ecs import Component
from neighborly.core.engine import AbstractFactory, ComponentDefinition
class Residence(Component):
__slots__ = "owners", "former_owners", "residents", "former_residents", "_vacant"
def __init__(self) ... | 32.446429 | 85 | 0.63071 | 199 | 1,817 | 5.537688 | 0.261307 | 0.054446 | 0.083485 | 0.098004 | 0.181488 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000732 | 0.248211 | 1,817 | 55 | 86 | 33.036364 | 0.806003 | 0.035773 | 0 | 0 | 0 | 0 | 0.063182 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.170732 | false | 0 | 0.097561 | 0.073171 | 0.414634 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2439cb603c2e5bb9b0700a3b097f6415267d55a | 15,518 | py | Python | tests/SBHRun_Environment.py | SD2E/synbiohub_adapter | 492f9ef1054b17d790654310b895bb7ad155808e | [
"MIT"
] | 1 | 2019-10-08T20:31:16.000Z | 2019-10-08T20:31:16.000Z | tests/SBHRun_Environment.py | SD2E/synbiohub_adapter | 492f9ef1054b17d790654310b895bb7ad155808e | [
"MIT"
] | 84 | 2018-03-06T16:02:30.000Z | 2020-09-01T18:17:54.000Z | tests/SBHRun_Environment.py | SD2E/synbiohub_adapter | 492f9ef1054b17d790654310b895bb7ad155808e | [
"MIT"
] | 1 | 2019-02-06T17:17:54.000Z | 2019-02-06T17:17:54.000Z |
import threading
import time
import pandas as pd
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import os
import fnmatch
import random
import re
import getpass
import sys
from rdflib import Graph
from synbiohub_adapter.SynBioHubUtil import *
from sbol import *
"""
This class will... | 33.661605 | 110 | 0.660974 | 2,072 | 15,518 | 4.775579 | 0.195946 | 0.042446 | 0.009702 | 0.016271 | 0.318343 | 0.261445 | 0.199697 | 0.165235 | 0.152299 | 0.135927 | 0 | 0.007362 | 0.238497 | 15,518 | 460 | 111 | 33.734783 | 0.829991 | 0.163681 | 0 | 0.229167 | 0 | 0 | 0.097857 | 0.022608 | 0 | 0 | 0 | 0.004348 | 0 | 1 | 0.107639 | false | 0.006944 | 0.052083 | 0.020833 | 0.236111 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f245528c941762eda827c561627c5aa634c97c9f | 2,842 | py | Python | setup.py | Unidata/drilsdown | 55aca7168fb390f31c36729605401564e9b82c56 | [
"MIT"
] | 3 | 2018-05-25T00:19:12.000Z | 2021-01-08T15:54:36.000Z | setup.py | suvarchal/drilsdown | e82f58396f640fef847353caf1bd4b2bf016c7a6 | [
"MIT"
] | 11 | 2017-10-31T20:15:24.000Z | 2019-12-16T21:01:55.000Z | setup.py | suvarchal/drilsdown | e82f58396f640fef847353caf1bd4b2bf016c7a6 | [
"MIT"
] | 10 | 2018-02-08T22:23:28.000Z | 2019-09-29T23:25:19.000Z | import os
from six import iteritems
from setuptools import setup
from setuptools.command.develop import develop
from setuptools.command.install import install
import subprocess
PACKAGE_NAME = 'drilsdown'
SOURCES = {
'ipython_IDV': 'projects/ipython_IDV',
'idv_teleport': 'projects/IDV_teleport',
'ramadda_publi... | 32.295455 | 105 | 0.60943 | 317 | 2,842 | 5.381703 | 0.457413 | 0.049824 | 0.058617 | 0.054513 | 0.184056 | 0.126612 | 0.064478 | 0.064478 | 0.064478 | 0 | 0 | 0.009108 | 0.26601 | 2,842 | 87 | 106 | 32.666667 | 0.808725 | 0.165377 | 0 | 0.055556 | 0 | 0 | 0.29108 | 0.030303 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.083333 | 0 | 0.152778 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f24567e433386b2908e8d4a58f10fb0b2a6b3b98 | 2,129 | py | Python | ejercicios/Ejercicio6.py | Xavitheforce/Ejercicios_Iteracion | e840439e1277b5946592128d5c771d895c2fac2c | [
"Apache-2.0"
] | null | null | null | ejercicios/Ejercicio6.py | Xavitheforce/Ejercicios_Iteracion | e840439e1277b5946592128d5c771d895c2fac2c | [
"Apache-2.0"
] | null | null | null | ejercicios/Ejercicio6.py | Xavitheforce/Ejercicios_Iteracion | e840439e1277b5946592128d5c771d895c2fac2c | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
class Banco():
def __init__(self):
self.cuentas = {
'1':{
'nombre': 'Marcos Martinez',
'balance': 173735,
'tipo': 1,
'movimientos': []
},'2':{
'nombre': 'Alejandro Sanchez',
'balance': 1342,
'tipo': 0,
'movi... | 39.425926 | 184 | 0.622828 | 241 | 2,129 | 5.419087 | 0.307054 | 0.092649 | 0.075038 | 0.107198 | 0.264165 | 0.174579 | 0.136294 | 0.087289 | 0.087289 | 0.087289 | 0 | 0.013253 | 0.220291 | 2,129 | 54 | 185 | 39.425926 | 0.772289 | 0 | 0 | 0.169811 | 0 | 0 | 0.296714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0.018868 | 0 | 0.150943 | 0.09434 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f2490fc27568d943c3ececc3e75fce355b5da3ff | 3,497 | py | Python | advent/days/day17/day.py | RuedigerLudwig/advent2021 | ce069d485bb34b4752ec4e89f195f7cc8cf084cc | [
"Unlicense"
] | null | null | null | advent/days/day17/day.py | RuedigerLudwig/advent2021 | ce069d485bb34b4752ec4e89f195f7cc8cf084cc | [
"Unlicense"
] | null | null | null | advent/days/day17/day.py | RuedigerLudwig/advent2021 | ce069d485bb34b4752ec4e89f195f7cc8cf084cc | [
"Unlicense"
] | null | null | null | from __future__ import annotations
from itertools import product
from typing import Iterator
day_num = 17
def part1(lines: Iterator[str]) -> int:
probe = Target.from_str(next(lines))
mx = max(y for _, y in probe.get_possible())
return mx * (mx + 1) >> 1
def part2(lines: Iterator[str]) -> int:
prob... | 31.223214 | 82 | 0.501859 | 455 | 3,497 | 3.630769 | 0.167033 | 0.043584 | 0.03632 | 0.021792 | 0.259685 | 0.21247 | 0.21247 | 0.183414 | 0.101695 | 0.101695 | 0 | 0.016635 | 0.398341 | 3,497 | 111 | 83 | 31.504505 | 0.768536 | 0 | 0 | 0.255556 | 0 | 0 | 0.00143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.033333 | 0.011111 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |