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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
822a641495e4387a0c1f14cf9ebd06d65a7a819c | 7,355 | py | Python | jdit/trainer/single/sup_single.py | dingguanglei/jdit | ef878e696c9e2fad5069f106496289d4e4cc6154 | [
"Apache-2.0"
] | 28 | 2019-06-18T15:56:53.000Z | 2021-11-09T13:11:13.000Z | jdit/trainer/single/sup_single.py | dingguanglei/jdit | ef878e696c9e2fad5069f106496289d4e4cc6154 | [
"Apache-2.0"
] | 2 | 2018-10-24T01:09:56.000Z | 2018-11-08T07:13:48.000Z | jdit/trainer/single/sup_single.py | dingguanglei/jdit | ef878e696c9e2fad5069f106496289d4e4cc6154 | [
"Apache-2.0"
] | 8 | 2019-01-11T01:12:15.000Z | 2021-03-12T10:15:43.000Z | from ..super import SupTrainer
from tqdm import tqdm
import torch
from jdit.optimizer import Optimizer
from jdit.model import Model
from jdit.dataset import DataLoadersFactory
class SupSingleModelTrainer(SupTrainer):
""" This is a Single Model Trainer.
It means you only have one model.
input, gound_tr... | 37.146465 | 116 | 0.562882 | 885 | 7,355 | 4.501695 | 0.19096 | 0.027108 | 0.03012 | 0.023845 | 0.500251 | 0.477159 | 0.433986 | 0.416918 | 0.416918 | 0.398845 | 0 | 0.003537 | 0.346431 | 7,355 | 197 | 117 | 37.335025 | 0.825255 | 0.4707 | 0 | 0.176471 | 0 | 0 | 0.016552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0.014706 | 0.088235 | 0 | 0.264706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
822adefd2d61243c8a6b7d51a859f435ee02768e | 1,433 | py | Python | Gold/sol.py | papachristoumarios/IEEEXtreme11.0 | 4c3b5aaa71641a6d0b3e9823c4738050f2553b27 | [
"MIT"
] | 13 | 2018-10-11T14:13:56.000Z | 2022-02-17T18:30:17.000Z | Gold/sol.py | papachristoumarios/IEEEXtreme11.0-PComplete | 4c3b5aaa71641a6d0b3e9823c4738050f2553b27 | [
"MIT"
] | null | null | null | Gold/sol.py | papachristoumarios/IEEEXtreme11.0-PComplete | 4c3b5aaa71641a6d0b3e9823c4738050f2553b27 | [
"MIT"
] | 7 | 2018-10-24T08:36:59.000Z | 2021-07-19T18:16:53.000Z | import heapq
import sys
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53]
bounds = [1]
for pr in primes:
bounds.append(bounds[-1]*pr)
def gold(town_id):
i = 0
while bounds[i] <= town_id:
i += 1
return i - 1
def solve():
N, M = [int(i) for i in raw_input().split()]
... | 26.537037 | 93 | 0.551291 | 222 | 1,433 | 3.346847 | 0.297297 | 0.056528 | 0.040377 | 0.021534 | 0.161507 | 0.123822 | 0.061911 | 0.061911 | 0 | 0 | 0 | 0.036735 | 0.31612 | 1,433 | 53 | 94 | 27.037736 | 0.721429 | 0 | 0 | 0.043478 | 0 | 0 | 0.005583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.043478 | 0 | 0.130435 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
822bbf9836e86e5cf6fb48c971df002aa5f8085b | 511 | py | Python | src/wechat/settings.py | chuter/wechat-requests | 23591f8e04e795a1727e6a8029602cfb2dde90f1 | [
"MIT"
] | 3 | 2019-06-17T10:54:03.000Z | 2021-01-29T08:25:01.000Z | src/wechat/settings.py | chuter/wechat-requests | 23591f8e04e795a1727e6a8029602cfb2dde90f1 | [
"MIT"
] | 2 | 2020-03-24T15:46:37.000Z | 2020-03-30T20:26:19.000Z | src/wechat/settings.py | chuter/wechat-requests | 23591f8e04e795a1727e6a8029602cfb2dde90f1 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8
from .utils import build_user_agent
# common
DEFAULT_HEADERS = {
'User-Agent': build_user_agent()
}
TIMEOUT = 1
ENCODING = 'utf-8'
RETRYS = 3
RETRY_BACKOFF_FACTOR = 0.1
RETRY_STATUS_FORCELIST = frozenset([500, 502, 504])
# auth
OAUTH_HOST = 'open.weixin.qq.com'
AUTH_EXPIRED_CODES = froz... | 17.033333 | 60 | 0.712329 | 75 | 511 | 4.56 | 0.72 | 0.078947 | 0.070175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088785 | 0.162427 | 511 | 29 | 61 | 17.62069 | 0.71028 | 0.101761 | 0 | 0 | 0 | 0 | 0.110865 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
822c63b5e55693f8beb5a21c86e5722b43fcabfd | 1,070 | py | Python | leetcode/0242_valid_anagram.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0242_valid_anagram.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0242_valid_anagram.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | """
Given two strings s and t , write a function to determine if t is an anagram of s.
Example 1:
Input: s = "anagram", t = "nagaram"
Output: true
Example 2:
Input: s = "rat", t = "car"
Output: false
Note:
You may assume the string contains only lowercase alphabets.
Follow up:
What if the i... | 22.291667 | 98 | 0.507477 | 155 | 1,070 | 3.43871 | 0.464516 | 0.018762 | 0.033771 | 0.026266 | 0.041276 | 0.041276 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.392523 | 1,070 | 47 | 99 | 22.765957 | 0.8 | 0.382243 | 0 | 0.095238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.047619 | 0.095238 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
822e6649f5126724e28587501bc18c3cf971a81b | 4,144 | py | Python | phpcsfixer.py | makao/sublime-php-cs-fixer | ff3227a2877a3e59c5bf9fc6e10f7aef56db8ef5 | [
"MIT"
] | 1 | 2018-11-26T19:42:41.000Z | 2018-11-26T19:42:41.000Z | phpcsfixer.py | makao/sublime-php-cs-fixer | ff3227a2877a3e59c5bf9fc6e10f7aef56db8ef5 | [
"MIT"
] | 2 | 2018-01-10T05:15:08.000Z | 2018-12-04T15:41:29.000Z | phpcsfixer.py | makao/sublime-php-cs-fixer | ff3227a2877a3e59c5bf9fc6e10f7aef56db8ef5 | [
"MIT"
] | null | null | null | import os
import re
import sublime
import sublime_plugin
import subprocess
STVER = int(sublime.version())
class PHPCSFixer():
def __init__(self):
self.settings = PhpCsFixerSettings()
if sublime.active_window() is not None and sublime.active_window().active_view() is not None:
self.file... | 27.812081 | 112 | 0.600386 | 464 | 4,144 | 5.267241 | 0.247845 | 0.037234 | 0.054419 | 0.040917 | 0.177578 | 0.153846 | 0.113748 | 0.061375 | 0.061375 | 0.061375 | 0 | 0.003663 | 0.275338 | 4,144 | 148 | 113 | 28 | 0.81019 | 0 | 0 | 0.211009 | 0 | 0 | 0.067809 | 0.006515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146789 | false | 0 | 0.045872 | 0.027523 | 0.40367 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8234be85b1a5c920b993e015367a06c4e394d65b | 11,961 | py | Python | main.py | iTecAI/minecraft-socket | 72f3bbc4fb20bea4b837d093c734eab2798de89d | [
"MIT"
] | null | null | null | main.py | iTecAI/minecraft-socket | 72f3bbc4fb20bea4b837d093c734eab2798de89d | [
"MIT"
] | null | null | null | main.py | iTecAI/minecraft-socket | 72f3bbc4fb20bea4b837d093c734eab2798de89d | [
"MIT"
] | null | null | null | from json.decoder import JSONDecodeError
from fastapi import FastAPI, Response, Request
from fastapi.staticfiles import StaticFiles
from argparse import ArgumentParser
from starlette.status import *
from starlette.responses import FileResponse, JSONResponse
import uvicorn
import os
from pymongo import MongoClient
from ... | 38.214058 | 142 | 0.621269 | 1,449 | 11,961 | 5.004831 | 0.198068 | 0.038058 | 0.041919 | 0.048263 | 0.338389 | 0.322532 | 0.295229 | 0.288748 | 0.273442 | 0.258825 | 0 | 0.009465 | 0.222724 | 11,961 | 313 | 143 | 38.214058 | 0.770571 | 0.006688 | 0 | 0.266904 | 0 | 0.003559 | 0.234804 | 0.018269 | 0 | 0 | 0 | 0 | 0 | 1 | 0.003559 | false | 0.032028 | 0.078292 | 0 | 0.192171 | 0.010676 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
82371535c737935c03e91ede47e391e948acafe2 | 567 | py | Python | docs/source/examples/simple_sp.py | giserh/gpkit | 71b953fcac8f67f148b67b54b6e8cd4182dc0b3b | [
"MIT"
] | null | null | null | docs/source/examples/simple_sp.py | giserh/gpkit | 71b953fcac8f67f148b67b54b6e8cd4182dc0b3b | [
"MIT"
] | null | null | null | docs/source/examples/simple_sp.py | giserh/gpkit | 71b953fcac8f67f148b67b54b6e8cd4182dc0b3b | [
"MIT"
] | null | null | null | """Adapted from t_SP in tests/t_geometric_program.py"""
import gpkit
# Decision variables
x = gpkit.Variable('x')
y = gpkit.Variable('y')
# must enable signomials for subtraction
with gpkit.SignomialsEnabled():
constraints = [x >= 1-y, y <= 0.1]
# create and solve the SP
m = gpkit.Model(x, constraints)
print(m.l... | 28.35 | 79 | 0.705467 | 88 | 567 | 4.511364 | 0.659091 | 0.065491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018443 | 0.13933 | 567 | 19 | 80 | 29.842105 | 0.795082 | 0.29806 | 0 | 0 | 0 | 0 | 0.167095 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.3 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8237d91bd367fa37819ecabb2d7d852f0f4245f3 | 550 | py | Python | aula075.py | juniorpedroso/CFBCursos | 88657d6aad38de7d41e76499f0ff4d85a02745ae | [
"MIT"
] | null | null | null | aula075.py | juniorpedroso/CFBCursos | 88657d6aad38de7d41e76499f0ff4d85a02745ae | [
"MIT"
] | null | null | null | aula075.py | juniorpedroso/CFBCursos | 88657d6aad38de7d41e76499f0ff4d85a02745ae | [
"MIT"
] | null | null | null | # Aula 75 - SpinBox
from tkinter import *
app = Tk()
app.title('Pedroso')
app.geometry('500x300')
def exibirValor():
vvalor = sb_valores.get()
l_valor.config(text=vvalor)
# sb_valores = Spinbox(app, from_=0, to=10)
# Os valores podem ser informados por uma faixa, como acima,
# ou como abaixo, em uma tupla... | 19.642857 | 69 | 0.705455 | 85 | 550 | 4.447059 | 0.6 | 0.095238 | 0.079365 | 0.100529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036403 | 0.150909 | 550 | 27 | 70 | 20.37037 | 0.773019 | 0.267273 | 0 | 0 | 0 | 0 | 0.075377 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 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 |
823a986d979638441ae38a1104614b823b72f2d7 | 3,922 | py | Python | src/data/dataset_utils.py | GuillaumeBarree/challenge-ENS | 50f1faa58be50a7c8cbd6078b4495679fd112c05 | [
"MIT"
] | null | null | null | src/data/dataset_utils.py | GuillaumeBarree/challenge-ENS | 50f1faa58be50a7c8cbd6078b4495679fd112c05 | [
"MIT"
] | null | null | null | src/data/dataset_utils.py | GuillaumeBarree/challenge-ENS | 50f1faa58be50a7c8cbd6078b4495679fd112c05 | [
"MIT"
] | null | null | null | """This file contains all functions related to the dataset."""
# pylint: disable=import-error
import os
import tqdm
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from torch.utils.data import Dataset
class RegressionDataset(Dataset):
"""Create a Torch Dataset for our ... | 26.863014 | 92 | 0.661652 | 539 | 3,922 | 4.54731 | 0.207792 | 0.031824 | 0.02856 | 0.014688 | 0.28927 | 0.25459 | 0.20155 | 0.189718 | 0.106079 | 0.106079 | 0 | 0.001006 | 0.239419 | 3,922 | 145 | 93 | 27.048276 | 0.82065 | 0.343447 | 0 | 0.095238 | 0 | 0 | 0.044702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.126984 | false | 0 | 0.095238 | 0.031746 | 0.349206 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8240cdb3f22524daceb3ca1aaf3cf523bd2c0df4 | 12,619 | py | Python | poseidon/ui/mobile/android/base_page.py | peterkang2001/Poseidon | cfafc01a1f69210dbfd95a0c62e06269eb599034 | [
"Apache-2.0"
] | 2 | 2019-12-27T09:14:38.000Z | 2019-12-27T09:16:29.000Z | poseidon/ui/mobile/android/base_page.py | CodeMonkey4Fun/Poseidon | cfafc01a1f69210dbfd95a0c62e06269eb599034 | [
"Apache-2.0"
] | 2 | 2021-03-31T20:06:21.000Z | 2021-12-13T20:48:16.000Z | poseidon/ui/mobile/android/base_page.py | peterkang2001/Poseidon | cfafc01a1f69210dbfd95a0c62e06269eb599034 | [
"Apache-2.0"
] | 1 | 2020-11-13T07:37:01.000Z | 2020-11-13T07:37:01.000Z | # coding=utf-8
"""
@author:songmengyun
@file: base_page.py
@time: 2020/01/03
"""
import time
import logging
from selenium.webdriver.common.by import By
from appium.webdriver.common.touch_action import TouchAction
from selenium.webdriver.support.wait import WebDriverWait
from appium.webdriver.mobilecommand import Mob... | 29.902844 | 113 | 0.576908 | 1,479 | 12,619 | 4.770791 | 0.198107 | 0.085034 | 0.029478 | 0.040816 | 0.452664 | 0.3947 | 0.353033 | 0.293651 | 0.273243 | 0.257653 | 0 | 0.017684 | 0.296458 | 12,619 | 421 | 114 | 29.973872 | 0.777089 | 0.083842 | 0 | 0.393701 | 0 | 0 | 0.085046 | 0.015529 | 0 | 0 | 0 | 0 | 0.007874 | 1 | 0.149606 | false | 0.003937 | 0.03937 | 0 | 0.244094 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8243b500985cbd67fd910c97e1596597cb663eae | 958 | py | Python | cogs/testing.py | classerase/Stand-Arrow | 89183c266913af889dabb68f4d0c39153875f7da | [
"MIT"
] | 2 | 2020-06-03T20:48:09.000Z | 2020-06-04T04:29:06.000Z | cogs/testing.py | BrianDehlinger/Stand-Arrow | 150cb741c73a244a88ce1cbcb21c71753848bbc6 | [
"MIT"
] | 2 | 2020-06-15T18:28:17.000Z | 2020-06-17T20:44:43.000Z | cogs/testing.py | BrianDehlinger/Stand-Arrow | 150cb741c73a244a88ce1cbcb21c71753848bbc6 | [
"MIT"
] | 1 | 2020-06-03T20:48:07.000Z | 2020-06-03T20:48:07.000Z | from discord.ext import commands
class Testing(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
async def who(self, ctx):
author = ctx.author
await ctx.send(f"Hello {author}")
@commands.command()
async def debug_free_cash(self, ctx):
auth... | 30.903226 | 66 | 0.605428 | 120 | 958 | 4.75 | 0.416667 | 0.126316 | 0.084211 | 0.121053 | 0.607018 | 0.470175 | 0.470175 | 0.470175 | 0.470175 | 0.470175 | 0 | 0.023392 | 0.286013 | 958 | 30 | 67 | 31.933333 | 0.809942 | 0 | 0 | 0.48 | 0 | 0 | 0.189979 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.04 | 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 |
8245cf950c7faf9f93224170dad96f903d0f0be0 | 2,603 | py | Python | scripts/create_fluseverity_figs_v5/S_deltaILIpercent_time_CDCbaseline_v5.py | eclee25/flu-SDI-exploratory-age | 2f5a4d97b84d2116e179e85fe334edf4556aa946 | [
"MIT"
] | 3 | 2018-03-29T23:02:43.000Z | 2020-08-10T12:01:50.000Z | scripts/create_fluseverity_figs_v5/S_deltaILIpercent_time_CDCbaseline_v5.py | eclee25/flu-SDI-exploratory-age | 2f5a4d97b84d2116e179e85fe334edf4556aa946 | [
"MIT"
] | null | null | null | scripts/create_fluseverity_figs_v5/S_deltaILIpercent_time_CDCbaseline_v5.py | eclee25/flu-SDI-exploratory-age | 2f5a4d97b84d2116e179e85fe334edf4556aa946 | [
"MIT"
] | null | null | null | #!/usr/bin/python
##############################################
###Python template
###Author: Elizabeth Lee
###Date: 1/25/15
###Function: time series difference in ILI percentage from CDC-based ILI baseline calculation
###Import data: SQL_export/OR_allweeks_outpatient.csv, anydiag_allweeks_outpatient.csv
###Command... | 40.046154 | 286 | 0.726854 | 379 | 2,603 | 4.852243 | 0.503958 | 0.016313 | 0.045677 | 0.039152 | 0.113105 | 0.113105 | 0.065253 | 0.065253 | 0.065253 | 0.065253 | 0 | 0.020241 | 0.107952 | 2,603 | 64 | 287 | 40.671875 | 0.771748 | 0.392624 | 0 | 0 | 0 | 0.035714 | 0.290254 | 0.242938 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.107143 | 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 |
8246faf773d4f1bfd0da404df98ee155653febc9 | 4,328 | py | Python | sentrylogs/bin/sentrylogs.py | hossein/sentrylogs | 70eaf665f9010ba2d8370ccc4013673bab7e2b16 | [
"BSD-3-Clause"
] | 32 | 2015-07-01T11:12:32.000Z | 2021-09-04T23:58:27.000Z | sentrylogs/bin/sentrylogs.py | hossein/sentrylogs | 70eaf665f9010ba2d8370ccc4013673bab7e2b16 | [
"BSD-3-Clause"
] | 37 | 2016-05-27T13:55:24.000Z | 2022-02-24T14:55:58.000Z | sentrylogs/bin/sentrylogs.py | hossein/sentrylogs | 70eaf665f9010ba2d8370ccc4013673bab7e2b16 | [
"BSD-3-Clause"
] | 15 | 2015-10-14T14:20:23.000Z | 2021-12-03T08:49:15.000Z | #!/usr/bin/env python
"""Standalone script for Sentry Logs"""
from __future__ import print_function
import os
import argparse
try:
from configparser import ConfigParser
except ImportError: # Python 2.7
from ConfigParser import ConfigParser # pylint: disable=import-error
# Ignore warnings caused by ``sentr... | 37.310345 | 81 | 0.606978 | 495 | 4,328 | 5.191919 | 0.333333 | 0.028016 | 0.039689 | 0.021012 | 0.022568 | 0.022568 | 0 | 0 | 0 | 0 | 0 | 0.002236 | 0.276802 | 4,328 | 115 | 82 | 37.634783 | 0.81885 | 0.124307 | 0 | 0.024691 | 0 | 0 | 0.2506 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061728 | false | 0 | 0.111111 | 0 | 0.197531 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41309aa7b95e9754a43f4174cd8bb81a323ae14b | 9,102 | py | Python | etreebrowser/graph.py | CameronJRAllan/eTree-Browser | 72601450eb8538f79511715c5793a8594bdcfc80 | [
"MIT"
] | 1 | 2019-07-19T20:03:00.000Z | 2019-07-19T20:03:00.000Z | etreebrowser/graph.py | CameronJRAllan/eTree-Browser | 72601450eb8538f79511715c5793a8594bdcfc80 | [
"MIT"
] | null | null | null | etreebrowser/graph.py | CameronJRAllan/eTree-Browser | 72601450eb8538f79511715c5793a8594bdcfc80 | [
"MIT"
] | null | null | null | from PyQt5 import QtWidgets, QtCore
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib import rcParams
rcParams['font.family'] = 'sans-serif'
rcParams['font.sans-serif'] = ['Cantarell']
import matplotlib.pyplot as plt
import matplotlib.p... | 33.340659 | 128 | 0.614041 | 1,082 | 9,102 | 5.114603 | 0.33549 | 0.013914 | 0.006505 | 0.010842 | 0.117094 | 0.112035 | 0.062161 | 0.028551 | 0.028551 | 0 | 0 | 0.017057 | 0.272138 | 9,102 | 273 | 129 | 33.340659 | 0.818264 | 0.285761 | 0 | 0.115385 | 0 | 0 | 0.133247 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053846 | false | 0 | 0.069231 | 0 | 0.176923 | 0.007692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413328f9159158b7e73d6e4e594f24dbc66f5d32 | 358 | py | Python | scripts/speed.py | Maxence-Santos/space-invader | 4ac359f61ab673c816005d0d85567c3227ec06a1 | [
"MIT"
] | null | null | null | scripts/speed.py | Maxence-Santos/space-invader | 4ac359f61ab673c816005d0d85567c3227ec06a1 | [
"MIT"
] | null | null | null | scripts/speed.py | Maxence-Santos/space-invader | 4ac359f61ab673c816005d0d85567c3227ec06a1 | [
"MIT"
] | null | null | null | import pygame
import os
class Speed:
def __init__(self,X):
self.X = X
self.Y = 700
self.image = pygame.image.load(os.path.join("img/speed_power_up.png"))
self.image = pygame.transform.scale(self.image, (55, 55))
def update_and_draw(self,screen):
scr... | 27.538462 | 79 | 0.594972 | 52 | 358 | 3.942308 | 0.519231 | 0.17561 | 0.087805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02682 | 0.27095 | 358 | 13 | 80 | 27.538462 | 0.758621 | 0 | 0 | 0 | 0 | 0 | 0.063401 | 0.063401 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4133f8869dd2769312a3bb4f13caa9cc3c94d267 | 821 | py | Python | supermariopy/tfutils/image.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 36 | 2019-07-14T16:10:37.000Z | 2022-03-29T10:11:03.000Z | supermariopy/tfutils/image.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 3 | 2019-10-09T15:11:13.000Z | 2021-07-31T02:17:43.000Z | supermariopy/tfutils/image.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 14 | 2019-08-29T14:11:54.000Z | 2022-03-06T13:41:56.000Z | import tensorflow as tf
def resize_bilinear(x, shape):
"""
Raises a warning if tensorflow version is too in order to buggy behavior
References
----------
[1]: https://github.com/tensorflow/tensorflow/issues/6720
[2]: https://github.com/tensorflow/tensorflow/issues/33691
"""
tf_version... | 34.208333 | 76 | 0.665043 | 105 | 821 | 5.047619 | 0.466667 | 0.10566 | 0.084906 | 0.113208 | 0.335849 | 0.335849 | 0.184906 | 0.184906 | 0.184906 | 0.184906 | 0 | 0.054945 | 0.224117 | 821 | 23 | 77 | 35.695652 | 0.77708 | 0.270402 | 0 | 0.153846 | 0 | 0 | 0.10424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41347176b216823b2850da2216f2fdd2a2569240 | 1,746 | py | Python | aleph/util.py | mcrouse911/findpeopleviadocument | fecb99a5c167dd281af324f8c862fda70021f081 | [
"MIT"
] | null | null | null | aleph/util.py | mcrouse911/findpeopleviadocument | fecb99a5c167dd281af324f8c862fda70021f081 | [
"MIT"
] | null | null | null | aleph/util.py | mcrouse911/findpeopleviadocument | fecb99a5c167dd281af324f8c862fda70021f081 | [
"MIT"
] | null | null | null | # coding: utf-8
import time
import random
import logging
from celery import Task
from banal import ensure_list
from normality import stringify
from pkg_resources import iter_entry_points
log = logging.getLogger(__name__)
EXTENSIONS = {}
def get_extensions(section):
if section not in EXTENSIONS:
EXTENSION... | 26.059701 | 73 | 0.623711 | 237 | 1,746 | 4.523207 | 0.413502 | 0.079291 | 0.033582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006121 | 0.251432 | 1,746 | 66 | 74 | 26.454545 | 0.814078 | 0.079038 | 0 | 0 | 0 | 0 | 0.068879 | 0.016907 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122449 | false | 0 | 0.163265 | 0 | 0.469388 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4136db303bfc69cac0328040053f475ee2387084 | 20,461 | py | Python | tadpole-catcher.py | tandalesc/tadpole-catcher | 5c5a7fce892aeb6f4c237ff14843fb325032b3bf | [
"BSD-3-Clause"
] | null | null | null | tadpole-catcher.py | tandalesc/tadpole-catcher | 5c5a7fce892aeb6f4c237ff14843fb325032b3bf | [
"BSD-3-Clause"
] | null | null | null | tadpole-catcher.py | tandalesc/tadpole-catcher | 5c5a7fce892aeb6f4c237ff14843fb325032b3bf | [
"BSD-3-Clause"
] | null | null | null | """This module downloads all photos/videos from tadpole to a local folder."""
import os
from os.path import abspath, dirname, join, isfile, isdir
import re
import sys
import json
import time
import pickle
import logging
import logging.config
from random import randrange
from getpass import getpass
from configparser i... | 39.272553 | 129 | 0.589903 | 2,490 | 20,461 | 4.673494 | 0.198795 | 0.030076 | 0.037295 | 0.010312 | 0.197817 | 0.137492 | 0.114978 | 0.073215 | 0.059466 | 0.044169 | 0 | 0.006702 | 0.299936 | 20,461 | 520 | 130 | 39.348077 | 0.805711 | 0.142417 | 0 | 0.116531 | 0 | 0.00813 | 0.143892 | 0.021854 | 0 | 0 | 0 | 0.001923 | 0 | 1 | 0.084011 | false | 0.01626 | 0.04336 | 0.01626 | 0.208672 | 0.00813 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4137ed760291cec3e1fabbc437a8f67ebd69c0e3 | 1,598 | py | Python | tests/test_primitives.py | empyriumz/openfold | 12b33cc4f72ba07ef97fbc46972bc4bbb0c7ee32 | [
"Apache-2.0"
] | 789 | 2021-11-12T16:12:21.000Z | 2022-03-28T05:45:19.000Z | tests/test_primitives.py | empyriumz/openfold | 12b33cc4f72ba07ef97fbc46972bc4bbb0c7ee32 | [
"Apache-2.0"
] | 84 | 2021-11-12T22:23:50.000Z | 2022-03-29T01:06:06.000Z | tests/test_primitives.py | empyriumz/openfold | 12b33cc4f72ba07ef97fbc46972bc4bbb0c7ee32 | [
"Apache-2.0"
] | 114 | 2021-11-12T16:00:57.000Z | 2022-03-27T21:32:31.000Z | # Copyright 2021 AlQuraishi Laboratory
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 29.592593 | 74 | 0.652691 | 232 | 1,598 | 4.344828 | 0.5 | 0.076389 | 0.031746 | 0.055556 | 0.175595 | 0.115079 | 0.059524 | 0.059524 | 0 | 0 | 0 | 0.012584 | 0.254068 | 1,598 | 53 | 75 | 30.150943 | 0.833054 | 0.349812 | 0 | 0 | 0 | 0 | 0.007805 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 1 | 0.035714 | false | 0 | 0.178571 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4138a7bccc894c41843ad8dd0583587c67038959 | 1,466 | py | Python | python/Lumniosity_Converter.py | pbrown801/aggienova-templates | 24f1269bf26ab8026a27df87358f80ea8ad04933 | [
"MIT"
] | 2 | 2019-09-23T18:42:12.000Z | 2019-09-30T04:17:10.000Z | python/Lumniosity_Converter.py | pbrown801/aggienova-templates | 24f1269bf26ab8026a27df87358f80ea8ad04933 | [
"MIT"
] | 12 | 2019-02-20T18:38:25.000Z | 2022-03-13T02:32:57.000Z | python/Lumniosity_Converter.py | pbrown801/aggienova-templates | 24f1269bf26ab8026a27df87358f80ea8ad04933 | [
"MIT"
] | 1 | 2020-01-14T17:26:33.000Z | 2020-01-14T17:26:33.000Z | import pandas as pd
import numpy as np
import math
from dust_extinction.parameter_averages import F19
def extinction_adjustment(rv):
len_wave=len(sn_templ['Wavelength'])
wavenum_waves = [1/(a/10000) for a in sn_templ['Wavelength']]
ext_model = F19(Rv=rv)
return(pd.Series(ext_model(wavenum_waves)))
... | 28.745098 | 112 | 0.677353 | 230 | 1,466 | 4.03913 | 0.391304 | 0.052745 | 0.054898 | 0.019376 | 0.027987 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038907 | 0.175989 | 1,466 | 51 | 113 | 28.745098 | 0.730132 | 0.027967 | 0 | 0 | 0 | 0 | 0.137546 | 0.064684 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.121212 | 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 |
413b8b891d2f44221bdddfd4cafbe2d545ac748d | 4,076 | py | Python | bin/dotty.py | jgrip/dotfiles | 78e96c3eaa1bb64d9197b23115bb1f144d4ca184 | [
"Unlicense"
] | null | null | null | bin/dotty.py | jgrip/dotfiles | 78e96c3eaa1bb64d9197b23115bb1f144d4ca184 | [
"Unlicense"
] | null | null | null | bin/dotty.py | jgrip/dotfiles | 78e96c3eaa1bb64d9197b23115bb1f144d4ca184 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
from __future__ import print_function
# Copyright (C) 2015 Vibhav Pant <vibhavp@gmail.com>
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License... | 34.837607 | 96 | 0.639352 | 581 | 4,076 | 4.416523 | 0.359725 | 0.046765 | 0.021824 | 0.023383 | 0.213172 | 0.160171 | 0.125487 | 0.125487 | 0.125487 | 0.125487 | 0 | 0.011832 | 0.232826 | 4,076 | 116 | 97 | 35.137931 | 0.808762 | 0.187929 | 0 | 0.202381 | 0 | 0 | 0.121966 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0.011905 | 0.083333 | 0 | 0.202381 | 0.107143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413c30019b7152204c51cd4030495eeb971c8934 | 2,472 | py | Python | sltxpkg/config.py | EagleoutIce/sltx-inst | cb45346177c22fd5bf47f29cebf34f09f16b9a4b | [
"MIT"
] | null | null | null | sltxpkg/config.py | EagleoutIce/sltx-inst | cb45346177c22fd5bf47f29cebf34f09f16b9a4b | [
"MIT"
] | null | null | null | sltxpkg/config.py | EagleoutIce/sltx-inst | cb45346177c22fd5bf47f29cebf34f09f16b9a4b | [
"MIT"
] | null | null | null | import os
import sys
from pathlib import Path
from sltxpkg import globals as sg
from sltxpkg import util as su
from sltxpkg.globals import (C_CACHE_DIR, C_CREATE_DIRS, C_DOWNLOAD_DIR, C_DRIVER_LOG,
C_TEX_HOME, C_WORKING_DIR)
from sltxpkg.log_control import LOGGER
from sltxpkg.types import ... | 32.96 | 91 | 0.636327 | 342 | 2,472 | 4.423977 | 0.280702 | 0.099141 | 0.052875 | 0.029081 | 0.06345 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00054 | 0.250809 | 2,472 | 74 | 92 | 33.405405 | 0.816415 | 0.147654 | 0 | 0 | 0 | 0 | 0.073408 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.173913 | 0.021739 | 0.347826 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413c68cef2a9cdf443fb29e050740dc6fceb6953 | 2,896 | py | Python | kw_ransomware.py | CodmingOut/SecretProjectAI | addc43117eab30a25453c18fa042739c33cc6cfb | [
"MIT"
] | null | null | null | kw_ransomware.py | CodmingOut/SecretProjectAI | addc43117eab30a25453c18fa042739c33cc6cfb | [
"MIT"
] | null | null | null | kw_ransomware.py | CodmingOut/SecretProjectAI | addc43117eab30a25453c18fa042739c33cc6cfb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 24 21:32:11 2020
@author: kw
"""
import glob
import os, random, struct
import getpass
from Cryptodome.Cipher import AES
class makeMyRansomware:
def __init__(self, your_extension=".Example", key=b'keyfor16bytes123', username=getpass.getuser())... | 33.287356 | 103 | 0.564917 | 324 | 2,896 | 4.932099 | 0.342593 | 0.055069 | 0.042553 | 0.022528 | 0.397998 | 0.397998 | 0.397998 | 0.216521 | 0.216521 | 0.1602 | 0 | 0.02551 | 0.323204 | 2,896 | 87 | 104 | 33.287356 | 0.789796 | 0.044199 | 0 | 0.333333 | 0 | 0 | 0.034795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.033333 | 0.083333 | 0 | 0.183333 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413c7bf5865a56e3f581e75a1fa2f6a01c3109a4 | 4,756 | py | Python | hospital/models.py | mohitkyadav/calldoc | ebdcdcfac346e995c44cbf94a3c87c25ba594ee1 | [
"MIT"
] | 9 | 2019-05-19T14:00:03.000Z | 2019-05-21T14:19:56.000Z | hospital/models.py | mohitkyadav/calldoc | ebdcdcfac346e995c44cbf94a3c87c25ba594ee1 | [
"MIT"
] | 8 | 2019-05-20T12:29:08.000Z | 2022-02-10T11:06:55.000Z | hospital/models.py | mohitkyadav/calldoc | ebdcdcfac346e995c44cbf94a3c87c25ba594ee1 | [
"MIT"
] | 1 | 2019-05-20T07:04:20.000Z | 2019-05-20T07:04:20.000Z | import uuid
from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
from django.core.validators import MaxValueValidator, MinValueValidator, RegexValidator
from landing.models import Profile
class Specialisation(models.Model):
class Meta:
ordering = ('id',... | 39.305785 | 114 | 0.625526 | 518 | 4,756 | 5.596525 | 0.258687 | 0.035874 | 0.028976 | 0.035185 | 0.595033 | 0.5188 | 0.483615 | 0.38565 | 0.359434 | 0.359434 | 0 | 0.016157 | 0.271236 | 4,756 | 120 | 115 | 39.633333 | 0.820254 | 0 | 0 | 0.43299 | 0 | 0 | 0.093566 | 0.004626 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103093 | false | 0 | 0.061856 | 0.082474 | 0.649485 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413d8e7168ec81d7fbf240777114a40652b16b3b | 409 | py | Python | anno-search-crawler/checker.py | powerslider/anno-search | b47ae5b4077d75622e088d3064e61934a8a3cf37 | [
"Apache-2.0"
] | null | null | null | anno-search-crawler/checker.py | powerslider/anno-search | b47ae5b4077d75622e088d3064e61934a8a3cf37 | [
"Apache-2.0"
] | null | null | null | anno-search-crawler/checker.py | powerslider/anno-search | b47ae5b4077d75622e088d3064e61934a8a3cf37 | [
"Apache-2.0"
] | null | null | null | import os
import json
json_files = set()
errors = set()
dir = "extracted/json/"
for file in os.listdir(dir):
if ".json" in file:
json_files.add(file)
with open(dir + file, "r") as f:
j = json.loads("".join(f.read()))
if j["entities"] == {} or j["text"] == "":
... | 22.722222 | 67 | 0.545232 | 59 | 409 | 3.728814 | 0.542373 | 0.122727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.278729 | 409 | 17 | 68 | 24.058824 | 0.745763 | 0 | 0 | 0 | 0 | 0 | 0.141809 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413ea01cee609cb192107f94528569476162e9b2 | 29,112 | py | Python | labpack/platforms/docker.py | collectiveacuity/labPack | c8fb0d1ee23608f6dbcb99c232373eee886000fd | [
"MIT"
] | 2 | 2017-06-20T15:20:46.000Z | 2019-11-18T01:28:49.000Z | labpack/platforms/docker.py | collectiveacuity/labPack | c8fb0d1ee23608f6dbcb99c232373eee886000fd | [
"MIT"
] | null | null | null | labpack/platforms/docker.py | collectiveacuity/labPack | c8fb0d1ee23608f6dbcb99c232373eee886000fd | [
"MIT"
] | null | null | null | __author__ = 'rcj1492'
__created__ = '2016.03'
__license__ = 'MIT'
from labpack.handlers.requests import requestsHandler
class dockerClient(requestsHandler):
_class_fields = {
'schema': {
'virtualbox_name': '',
'container_alias': '',
'image_name': '',
... | 36.897338 | 182 | 0.561384 | 3,145 | 29,112 | 4.991097 | 0.128458 | 0.022934 | 0.012614 | 0.014907 | 0.401988 | 0.342804 | 0.288781 | 0.228069 | 0.212079 | 0.183411 | 0 | 0.006401 | 0.33457 | 29,112 | 788 | 183 | 36.944162 | 0.803892 | 0.208505 | 0 | 0.327354 | 0 | 0.002242 | 0.146633 | 0.016376 | 0 | 0 | 0 | 0.001269 | 0 | 1 | 0.049327 | false | 0.002242 | 0.049327 | 0 | 0.152466 | 0.033632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
413f75cca22078b8921f0960e0731176326021d4 | 947 | py | Python | classical_models/util_functions.py | leejaeka/sound_classifier | 121bc11522514ed45e5ad74c4c3ffdb0e87cd688 | [
"Apache-2.0"
] | null | null | null | classical_models/util_functions.py | leejaeka/sound_classifier | 121bc11522514ed45e5ad74c4c3ffdb0e87cd688 | [
"Apache-2.0"
] | null | null | null | classical_models/util_functions.py | leejaeka/sound_classifier | 121bc11522514ed45e5ad74c4c3ffdb0e87cd688 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
def load_data(dataset='training', path='../data_processed/'):
return pd.read_pickle(path + dataset + '_set.pkl')
def process_files_to_mfccs(dataset='training', path='../data_processed/', target_column='mfccs'):
df = load_data(dataset=dataset, path=path)
labels, file... | 37.88 | 114 | 0.669483 | 134 | 947 | 4.552239 | 0.432836 | 0.098361 | 0.04918 | 0.07541 | 0.104918 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002571 | 0.178458 | 947 | 24 | 115 | 39.458333 | 0.781491 | 0.1151 | 0 | 0 | 0 | 0 | 0.16368 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.0625 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
414012d7a8b9a151ce80cbbbd219f43643543cf6 | 1,395 | py | Python | setup.py | chembl/chembl_assay_matrix | f8f48e2fd22cde19f0bc6da3052e94952a5d7df3 | [
"Apache-2.0"
] | 2 | 2017-12-02T12:14:10.000Z | 2020-09-30T17:49:37.000Z | setup.py | chembl/chembl_assay_matrix | f8f48e2fd22cde19f0bc6da3052e94952a5d7df3 | [
"Apache-2.0"
] | null | null | null | setup.py | chembl/chembl_assay_matrix | f8f48e2fd22cde19f0bc6da3052e94952a5d7df3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'mnowotka'
import sys
try:
from setuptools import setup
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup
if sys.version_info < (2, 7, 3) or sys.version_info >= (2, 7, 7):
raise Excepti... | 32.44186 | 108 | 0.614337 | 168 | 1,395 | 5 | 0.642857 | 0.011905 | 0.047619 | 0.059524 | 0.038095 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025739 | 0.248029 | 1,395 | 43 | 109 | 32.44186 | 0.775024 | 0.030108 | 0 | 0.055556 | 0 | 0 | 0.451923 | 0.034024 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.138889 | 0 | 0.138889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41402626baceb0ad14ef7bcb1114108515c7b502 | 2,029 | py | Python | waveshare/countdown.py | WebReflection/countdown | 7ba452de33bbef4c6132c4af0071fe28f6f3e3bb | [
"0BSD"
] | 6 | 2019-10-07T12:03:45.000Z | 2019-10-10T11:41:57.000Z | waveshare/countdown.py | WebReflection/countdown | 7ba452de33bbef4c6132c4af0071fe28f6f3e3bb | [
"0BSD"
] | null | null | null | waveshare/countdown.py | WebReflection/countdown | 7ba452de33bbef4c6132c4af0071fe28f6f3e3bb | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
# ISC License
#
# Copyright (c) 2019, Andrea Giammarchi, @WebReflection
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# TH... | 30.283582 | 79 | 0.73928 | 300 | 2,029 | 4.97 | 0.51 | 0.024145 | 0.021462 | 0.025486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014035 | 0.15722 | 2,029 | 66 | 80 | 30.742424 | 0.857895 | 0.497782 | 0 | 0 | 0 | 0 | 0.075301 | 0.029116 | 0 | 0 | 0.004016 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.225806 | 0 | 0.290323 | 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 |
414211e54fff763958123b81d2506325421d7750 | 3,201 | py | Python | robotpose/constants.py | OSU-AIMS/RoPE-S3D | 0deed60b0c0b46324f9ce971bcf0b0b0af88ccf5 | [
"Apache-2.0"
] | 1 | 2021-05-17T17:35:01.000Z | 2021-05-17T17:35:01.000Z | robotpose/constants.py | OSU-AIMS/RoPE-S3D | 0deed60b0c0b46324f9ce971bcf0b0b0af88ccf5 | [
"Apache-2.0"
] | 1 | 2021-07-27T23:49:33.000Z | 2021-07-29T19:53:14.000Z | robotpose/constants.py | OSU-AIMS/RoPE-S3D | 0deed60b0c0b46324f9ce971bcf0b0b0af88ccf5 | [
"Apache-2.0"
] | null | null | null | # Software License Agreement (Apache 2.0 License)
#
# Copyright (c) 2021, The Ohio State University
# Center for Design and Manufacturing Excellence (CDME)
# The Artificially Intelligent Manufacturing Systems Lab (AIMS)
# All rights reserved.
#
# Author: Adam Exley
import numpy as np
import logging as log
MAX_LINKS = 7... | 34.793478 | 148 | 0.672602 | 460 | 3,201 | 4.552174 | 0.519565 | 0.015282 | 0.017192 | 0.016237 | 0.023878 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025573 | 0.181506 | 3,201 | 92 | 149 | 34.793478 | 0.773664 | 0.504842 | 0 | 0 | 0 | 0.026316 | 0.144338 | 0.024721 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.052632 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4148771c5460032b6e6cf71a733f1a7a81a72d62 | 2,893 | py | Python | custom_components/localtuya/const.py | JonathanFerraz/home-assistant | 15cd52f5eff850f978949406071fbe98b882918a | [
"MIT"
] | 18 | 2016-08-10T01:02:27.000Z | 2017-10-26T04:19:49.000Z | custom_components/localtuya/const.py | JonathanFerraz/home-assistant | 15cd52f5eff850f978949406071fbe98b882918a | [
"MIT"
] | null | null | null | custom_components/localtuya/const.py | JonathanFerraz/home-assistant | 15cd52f5eff850f978949406071fbe98b882918a | [
"MIT"
] | 4 | 2017-04-20T19:41:21.000Z | 2017-05-16T17:10:05.000Z | """Constants for localtuya integration."""
ATTR_CURRENT = "current"
ATTR_CURRENT_CONSUMPTION = "current_consumption"
ATTR_VOLTAGE = "voltage"
CONF_LOCAL_KEY = "local_key"
CONF_PROTOCOL_VERSION = "protocol_version"
CONF_DPS_STRINGS = "dps_strings"
CONF_PRODUCT_KEY = "product_key"
# light
CONF_BRIGHTNESS_LOWER = "brig... | 27.817308 | 56 | 0.807812 | 413 | 2,893 | 5.065375 | 0.227603 | 0.054493 | 0.022945 | 0.034417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104044 | 2,893 | 103 | 57 | 28.087379 | 0.807099 | 0.045282 | 0 | 0 | 0 | 0 | 0.359403 | 0.070571 | 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 |
414999092001be652ff829a08dad85777592db23 | 8,098 | py | Python | source/player.py | 2nPlusOne/pygame-platformer | 69078819280506d8ab1af4c493da22eb02b4fe01 | [
"MIT"
] | null | null | null | source/player.py | 2nPlusOne/pygame-platformer | 69078819280506d8ab1af4c493da22eb02b4fe01 | [
"MIT"
] | null | null | null | source/player.py | 2nPlusOne/pygame-platformer | 69078819280506d8ab1af4c493da22eb02b4fe01 | [
"MIT"
] | null | null | null | import pygame
from settings import *
import utils
class Player(pygame.sprite.Sprite):
def __init__(self, pos, groups, collision_sprites):
super().__init__(groups)
self.image = pygame.Surface((TILE_SIZE / 2, TILE_SIZE))
self.image.fill(PLAYER_COLOR)
self.rect = self.image.get_rect(to... | 48.491018 | 138 | 0.618177 | 1,053 | 8,098 | 4.573599 | 0.177588 | 0.049834 | 0.026993 | 0.023256 | 0.336379 | 0.259759 | 0.186669 | 0.155731 | 0.135797 | 0.053987 | 0 | 0.007611 | 0.302297 | 8,098 | 167 | 139 | 48.491018 | 0.844779 | 0.206594 | 0 | 0.239669 | 0 | 0 | 0.011487 | 0.006766 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082645 | false | 0 | 0.024793 | 0 | 0.115702 | 0.016529 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4149b0929f392e8e110537d2266f990d4929d8f0 | 5,054 | py | Python | periodic/table.py | moopet/pyriodic | 5477934881db6a00f040b9ff3624d1eca9389f36 | [
"MIT"
] | null | null | null | periodic/table.py | moopet/pyriodic | 5477934881db6a00f040b9ff3624d1eca9389f36 | [
"MIT"
] | null | null | null | periodic/table.py | moopet/pyriodic | 5477934881db6a00f040b9ff3624d1eca9389f36 | [
"MIT"
] | null | null | null | from colored import fg, bg, attr
from . import elements
from . import layouts
class PeriodicTableError(Exception):
"""Periodic Table exceptions."""
pass
class PeriodicTable:
"""Periodic Table."""
def __init__(self, **kwargs):
self.color = kwargs["color"] if "color" in kwargs else False
... | 30.630303 | 85 | 0.564899 | 580 | 5,054 | 4.843103 | 0.22931 | 0.04272 | 0.03204 | 0.01602 | 0.055892 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004928 | 0.317372 | 5,054 | 164 | 86 | 30.817073 | 0.809275 | 0.085081 | 0 | 0.118812 | 0 | 0 | 0.113786 | 0.021444 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079208 | false | 0.009901 | 0.029703 | 0 | 0.178218 | 0.118812 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4149c18516a466d5bd042367b350b07706f720b8 | 536 | py | Python | data_model/transaction.py | chryoung/beancount_importer | 664d4bf07d7b953afca4cf9fce7436c942390c52 | [
"MIT"
] | 2 | 2021-08-18T14:05:46.000Z | 2021-09-24T07:44:23.000Z | data_model/transaction.py | chryoung/beancount_importer | 664d4bf07d7b953afca4cf9fce7436c942390c52 | [
"MIT"
] | 1 | 2021-09-24T08:00:26.000Z | 2021-10-07T10:45:28.000Z | data_model/transaction.py | chryoung/beancount_importer | 664d4bf07d7b953afca4cf9fce7436c942390c52 | [
"MIT"
] | null | null | null | from datetime import date
from enum import IntEnum
class TransactionDirection(IntEnum):
EXPENSES = 0
INCOME = 1
class Transaction:
def __init__(self):
self.will_import = True
self.transaction_date = date.today()
self.payee = ''
self.description = ''
self.amount = ... | 23.304348 | 54 | 0.619403 | 56 | 536 | 5.732143 | 0.553571 | 0.102804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007916 | 0.29291 | 536 | 22 | 55 | 24.363636 | 0.83905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.166667 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
414dbeebee592b4e49d79aec901a1680c586b5fb | 3,617 | py | Python | ws2122-lspm/Lib/site-packages/pm4py/statistics/concurrent_activities/pandas/get.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-19T04:02:46.000Z | 2022-01-19T04:02:46.000Z | ws2122-lspm/Lib/site-packages/pm4py/statistics/concurrent_activities/pandas/get.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2021-11-19T07:21:48.000Z | 2021-11-19T07:21:48.000Z | ws2122-lspm/Lib/site-packages/pm4py/statistics/concurrent_activities/pandas/get.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-14T17:15:38.000Z | 2022-01-14T17:15:38.000Z | '''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py 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 late... | 44.654321 | 129 | 0.709151 | 474 | 3,617 | 5.21308 | 0.367089 | 0.072845 | 0.048159 | 0.034399 | 0.22501 | 0.117766 | 0.049777 | 0.035613 | 0 | 0 | 0 | 0.006043 | 0.222284 | 3,617 | 80 | 130 | 45.2125 | 0.872378 | 0.431573 | 0 | 0 | 0 | 0 | 0.004169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.172414 | 0 | 0.448276 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4151c5c3dbe7d9b634bc3106ccbd1a50caa1fb1f | 1,120 | py | Python | pipeline.py | Overnickel/eclip | 8c52160d4e4418b4b1e186f30b4e06491ada9c40 | [
"MIT"
] | null | null | null | pipeline.py | Overnickel/eclip | 8c52160d4e4418b4b1e186f30b4e06491ada9c40 | [
"MIT"
] | null | null | null | pipeline.py | Overnickel/eclip | 8c52160d4e4418b4b1e186f30b4e06491ada9c40 | [
"MIT"
] | 1 | 2020-03-05T23:58:04.000Z | 2020-03-05T23:58:04.000Z | import os
import argparse
import yaml
import pprint
from easydict import EasyDict as edict
from download import download
from read_process import read_process
from de_analysis import de
from cancer import cancer
def parse_args():
parser = argparse.ArgumentParser(description='eCLIP')
parser.add_argument('--con... | 21.960784 | 57 | 0.677679 | 136 | 1,120 | 5.411765 | 0.441176 | 0.054348 | 0.038043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00116 | 0.230357 | 1,120 | 50 | 58 | 22.4 | 0.852668 | 0.077679 | 0 | 0 | 0 | 0 | 0.11546 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.28125 | 0 | 0.4375 | 0.09375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41528f11f89e17b45a8aaf9f472409371cd43c86 | 887 | py | Python | finscraper/request.py | jmyrberg/finscraper | f90399a0c33247d3bb896ca987ef6f293609abe0 | [
"MIT"
] | null | null | null | finscraper/request.py | jmyrberg/finscraper | f90399a0c33247d3bb896ca987ef6f293609abe0 | [
"MIT"
] | 24 | 2020-05-09T19:18:30.000Z | 2020-11-21T22:47:39.000Z | finscraper/request.py | jmyrberg/finscraper | f90399a0c33247d3bb896ca987ef6f293609abe0 | [
"MIT"
] | null | null | null | """Module for custom Scrapy request components."""
from scrapy import Request
class SeleniumCallbackRequest(Request):
"""Process request with given callback using Selenium.
Args:
selenium_callback (func or None, optional): Function that will be
called with the chrome webdriver. The func... | 36.958333 | 77 | 0.668546 | 105 | 887 | 5.504762 | 0.52381 | 0.138408 | 0.069204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.24239 | 887 | 23 | 78 | 38.565217 | 0.860119 | 0.491545 | 0 | 0 | 0 | 0 | 0.092457 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41533ac389ddcc893deaa3a3dea233e8a8c4234c | 12,254 | py | Python | tests/func/test_ignore.py | farizrahman4u/dvc | a56c8bbab662c3792ae12aa7db6c40a42a23de50 | [
"Apache-2.0"
] | 1 | 2020-08-12T22:51:45.000Z | 2020-08-12T22:51:45.000Z | tests/func/test_ignore.py | farizrahman4u/dvc | a56c8bbab662c3792ae12aa7db6c40a42a23de50 | [
"Apache-2.0"
] | null | null | null | tests/func/test_ignore.py | farizrahman4u/dvc | a56c8bbab662c3792ae12aa7db6c40a42a23de50 | [
"Apache-2.0"
] | 1 | 2020-11-28T11:47:48.000Z | 2020-11-28T11:47:48.000Z | import os
import shutil
import pytest
from dvc.exceptions import DvcIgnoreInCollectedDirError
from dvc.ignore import (
DvcIgnore,
DvcIgnoreDirs,
DvcIgnorePatterns,
DvcIgnorePatternsTrie,
DvcIgnoreRepo,
)
from dvc.path_info import PathInfo
from dvc.repo import Repo
from dvc.tree.local import LocalR... | 31.260204 | 79 | 0.5945 | 1,518 | 12,254 | 4.550066 | 0.128459 | 0.065151 | 0.036485 | 0.027798 | 0.582597 | 0.544665 | 0.491386 | 0.397568 | 0.371218 | 0.345012 | 0 | 0.002172 | 0.248572 | 12,254 | 391 | 80 | 31.340153 | 0.747937 | 0.044557 | 0 | 0.350649 | 0 | 0 | 0.133892 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 1 | 0.061688 | false | 0 | 0.035714 | 0 | 0.097403 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4154f5618899e57ee64e540445a53194c1b762ee | 1,479 | py | Python | synthea-hiv/uploader/uploader_test.py | GoogleCloudPlatform/openmrs-fhir-analytics | 839a5c54e0c81d174522dcb9930b26bc49dfa748 | [
"ECL-2.0",
"Apache-2.0"
] | 39 | 2020-08-07T18:10:21.000Z | 2021-12-24T14:08:36.000Z | synthea-hiv/uploader/uploader_test.py | mozzy11/openmrs-fhir-analytics | 796c75f3cc94cfad08e6e4a42d670830e9302d17 | [
"Apache-2.0"
] | 205 | 2020-08-20T05:25:29.000Z | 2022-02-04T19:20:44.000Z | synthea-hiv/uploader/uploader_test.py | mozzy11/openmrs-fhir-analytics | 796c75f3cc94cfad08e6e4a42d670830e9302d17 | [
"Apache-2.0"
] | 32 | 2020-08-13T19:14:50.000Z | 2022-03-25T04:45:39.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 35.214286 | 74 | 0.76403 | 206 | 1,479 | 5.325243 | 0.480583 | 0.065634 | 0.076572 | 0.02917 | 0.20784 | 0.113036 | 0.113036 | 0.113036 | 0.113036 | 0.113036 | 0 | 0.01112 | 0.148749 | 1,479 | 41 | 75 | 36.073171 | 0.860207 | 0.370521 | 0 | 0.095238 | 0 | 0 | 0.023991 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.142857 | 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 |
4155116ee8c8f0032b20650c9fd29fb3f6faf25b | 7,033 | py | Python | stargazing/pomodoro/pomodoro_controller.py | mtu2/stargazing | 8c32728d64e8a7273299ab9d88e814d7a7bb47f2 | [
"MIT"
] | null | null | null | stargazing/pomodoro/pomodoro_controller.py | mtu2/stargazing | 8c32728d64e8a7273299ab9d88e814d7a7bb47f2 | [
"MIT"
] | null | null | null | stargazing/pomodoro/pomodoro_controller.py | mtu2/stargazing | 8c32728d64e8a7273299ab9d88e814d7a7bb47f2 | [
"MIT"
] | null | null | null | from __future__ import annotations
from enum import Enum
from typing import List
import os.path as path
import stargazing.data.database as database
import stargazing.audio.audio_controller as audio_ac
import stargazing.audio.audio_player as audio_ap
import stargazing.pomodoro.timer as pomo_t
import stargazing.project.... | 39.072222 | 113 | 0.681928 | 815 | 7,033 | 5.640491 | 0.159509 | 0.067435 | 0.125299 | 0.060909 | 0.510333 | 0.415271 | 0.376115 | 0.29454 | 0.258864 | 0.159887 | 0 | 0.002231 | 0.235177 | 7,033 | 179 | 114 | 39.290503 | 0.852389 | 0.072942 | 0 | 0.390625 | 0 | 0 | 0.071473 | 0.047443 | 0 | 0 | 0 | 0.005587 | 0 | 1 | 0.09375 | false | 0 | 0.078125 | 0.023438 | 0.320313 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4156d6278870fbb774b81e7ffbdf14d0c4744d9b | 2,490 | py | Python | tf_encrypted/keras/layers/layers_utils.py | wqruan/tf-encrypted | 50ee4ae3ba76b7c1f70a90e18f875191adea0a07 | [
"Apache-2.0"
] | 825 | 2019-04-18T09:21:32.000Z | 2022-03-30T05:55:26.000Z | tf_encrypted/keras/layers/layers_utils.py | wqruan/tf-encrypted | 50ee4ae3ba76b7c1f70a90e18f875191adea0a07 | [
"Apache-2.0"
] | 354 | 2019-04-18T08:42:40.000Z | 2022-03-31T18:06:31.000Z | tf_encrypted/keras/layers/layers_utils.py | wqruan/tf-encrypted | 50ee4ae3ba76b7c1f70a90e18f875191adea0a07 | [
"Apache-2.0"
] | 161 | 2019-05-02T16:43:31.000Z | 2022-03-31T01:35:03.000Z | """TF Encrypted Keras layers utils"""
import inspect
import tensorflow as tf
class UnknownLayerArgError(ValueError):
"""Raise error for unknown layer arguments.
Args:
arg_name: TF Encrypted Keras layer argument name (string)
layer_sign: TensorFlow Keras layer signature (dict)
tf_layer_name... | 32.337662 | 82 | 0.675904 | 323 | 2,490 | 4.866873 | 0.19195 | 0.114504 | 0.076972 | 0.038168 | 0.353053 | 0.307252 | 0.278626 | 0.244275 | 0.172392 | 0.172392 | 0 | 0 | 0.245382 | 2,490 | 76 | 83 | 32.763158 | 0.836615 | 0.283534 | 0 | 0.1 | 0 | 0 | 0.101296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.05 | 0 | 0.275 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4158338da63ba358220ee7b0c0e8ce7b54fd01ff | 5,850 | py | Python | vharfbuzz.py | KazunariTsuboi/font-engineering | 2b80182d9cdfebf9853c01295ab13046f2ccb5a1 | [
"Apache-2.0"
] | null | null | null | vharfbuzz.py | KazunariTsuboi/font-engineering | 2b80182d9cdfebf9853c01295ab13046f2ccb5a1 | [
"Apache-2.0"
] | null | null | null | vharfbuzz.py | KazunariTsuboi/font-engineering | 2b80182d9cdfebf9853c01295ab13046f2ccb5a1 | [
"Apache-2.0"
] | null | null | null | """A user-friendlier way to use Harfbuzz in Python."""
import uharfbuzz as hb
from fontTools.ttLib import TTFont
import re
class Vharfbuzz:
def __init__(self, filename):
"""Opens a font file and gets ready to shape text."""
self.filename = filename
with open(self.filename, "rb") as fontfi... | 34.411765 | 88 | 0.558462 | 753 | 5,850 | 4.201859 | 0.280212 | 0.045512 | 0.041087 | 0.022124 | 0.190265 | 0.183312 | 0.142857 | 0.134324 | 0.134324 | 0.117889 | 0 | 0.014081 | 0.308034 | 5,850 | 169 | 89 | 34.615385 | 0.76754 | 0.143248 | 0 | 0.122951 | 0 | 0.008197 | 0.120226 | 0.007072 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122951 | false | 0 | 0.02459 | 0 | 0.213115 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
415b5b68914faf3e3638db9ddfedb6c109eb3f7e | 9,973 | py | Python | habitat_baselines/config/default.py | rpartsey/habitat-pointnav-aux | 03a24ddca8ab257f64092c70d4f2ff6805287b40 | [
"MIT",
"Unlicense"
] | 15 | 2020-07-10T15:43:02.000Z | 2022-03-09T03:11:30.000Z | habitat_baselines/config/default.py | rpartsey/habitat-pointnav-aux | 03a24ddca8ab257f64092c70d4f2ff6805287b40 | [
"MIT",
"Unlicense"
] | 2 | 2020-09-09T19:09:19.000Z | 2020-10-21T16:30:23.000Z | habitat_baselines/config/default.py | rpartsey/habitat-pointnav-aux | 03a24ddca8ab257f64092c70d4f2ff6805287b40 | [
"MIT",
"Unlicense"
] | 1 | 2021-02-05T14:50:30.000Z | 2021-02-05T14:50:30.000Z | #!/usr/bin/env python3
# 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.
from typing import List, Optional, Union
import numpy as np
from habitat import get_config as get_task_config
from hab... | 36.531136 | 108 | 0.684348 | 1,562 | 9,973 | 4.046095 | 0.214469 | 0.060759 | 0.076899 | 0.140981 | 0.446994 | 0.268671 | 0.205854 | 0.187184 | 0.137025 | 0.051899 | 0 | 0.024071 | 0.112704 | 9,973 | 272 | 109 | 36.665441 | 0.690134 | 0.227314 | 0 | 0.010101 | 0 | 0 | 0.057266 | 0.030664 | 0 | 0 | 0 | 0.003676 | 0 | 1 | 0.005051 | false | 0 | 0.020202 | 0 | 0.030303 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
415c300c1fc04be956dd24ffadcfc44181fd9b54 | 10,681 | py | Python | backup_client.py | evermind/restic-backupclient | 347fd6bfae0f967adac1b65775245f6e87a8c554 | [
"MIT"
] | null | null | null | backup_client.py | evermind/restic-backupclient | 347fd6bfae0f967adac1b65775245f6e87a8c554 | [
"MIT"
] | null | null | null | backup_client.py | evermind/restic-backupclient | 347fd6bfae0f967adac1b65775245f6e87a8c554 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from os import environ
import logging as log
import argparse
from crontab import CronTab
from datetime import datetime,timedelta
import time
import subprocess
import os.path
import re
import yaml
import shutil
import elasticdump
import mysqldump
import pgdump
import mongodump
import influxdump
... | 28.712366 | 155 | 0.735137 | 1,522 | 10,681 | 5.02431 | 0.187911 | 0.021054 | 0.019616 | 0.0085 | 0.185171 | 0.138355 | 0.099516 | 0.049954 | 0.049954 | 0.049954 | 0 | 0.001961 | 0.14053 | 10,681 | 371 | 156 | 28.789757 | 0.831046 | 0.030147 | 0 | 0.248387 | 0 | 0.003226 | 0.247416 | 0.002319 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041935 | false | 0.019355 | 0.051613 | 0 | 0.170968 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
415fd9ca7dc3dd7e0ad28f54f3222836570e36ec | 229 | py | Python | helpers/version.py | Dabalon/blues_bot.py | b153f65054ce973e16c5fd1e2061ce1fe50145d1 | [
"MIT"
] | 5 | 2020-01-05T18:53:20.000Z | 2022-03-19T13:01:24.000Z | helpers/version.py | Dabalon/blues_bot.py | b153f65054ce973e16c5fd1e2061ce1fe50145d1 | [
"MIT"
] | 22 | 2019-10-27T00:56:30.000Z | 2021-07-13T16:42:24.000Z | helpers/version.py | Dabalon/blues_bot.py | b153f65054ce973e16c5fd1e2061ce1fe50145d1 | [
"MIT"
] | 11 | 2020-01-05T18:53:22.000Z | 2022-03-30T22:20:13.000Z | # Version command helper
def get_version():
""" Opens version file and returns it as a string """
file = open("assets/version", "r")
ret = ''
for line in file:
ret += line
file.close()
return ret
| 20.818182 | 57 | 0.585153 | 31 | 229 | 4.290323 | 0.709677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.292576 | 229 | 10 | 58 | 22.9 | 0.820988 | 0.305677 | 0 | 0 | 0 | 0 | 0.098684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | 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 |
416700a551016e3c3062ddbef52da0802e586ce3 | 1,849 | py | Python | podcastapi.py | rexxars/kodi-vg-podcasts | f5151b78717533e97a3d70439946654228adca70 | [
"MIT"
] | null | null | null | podcastapi.py | rexxars/kodi-vg-podcasts | f5151b78717533e97a3d70439946654228adca70 | [
"MIT"
] | null | null | null | podcastapi.py | rexxars/kodi-vg-podcasts | f5151b78717533e97a3d70439946654228adca70 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2015-2016 Espen Hovlandsdal
from requests import Session
API_URL = 'http://api.vg.no/podcast';
session = Session()
session.headers['User-Agent'] = 'kodi-vg-podcasts'
session.headers['Accept'] = 'application/json'
class Base(object):
id = None
title = None
subtit... | 22.277108 | 69 | 0.559221 | 218 | 1,849 | 4.62844 | 0.389908 | 0.047572 | 0.037661 | 0.053518 | 0.212091 | 0.130823 | 0.081269 | 0.081269 | 0.081269 | 0 | 0 | 0.01542 | 0.29854 | 1,849 | 82 | 70 | 22.54878 | 0.762529 | 0.034072 | 0 | 0.15873 | 0 | 0 | 0.109428 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.126984 | false | 0 | 0.015873 | 0.047619 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
416ad546e81165ecbce7d3668b0084d159819a2c | 442 | py | Python | src/year2020/day05b.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 10 | 2017-12-11T17:54:52.000Z | 2021-12-09T20:16:30.000Z | src/year2020/day05b.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 260 | 2015-12-09T11:03:03.000Z | 2021-12-12T14:32:23.000Z | src/year2020/day05b.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | null | null | null | """2020 - Day 5 Part 2: Binary Boarding."""
from src.year2020.day05a import process_data
def solve(task: str) -> int:
"""Find an empty seat."""
seats = process_data(task)
first = min(seats).pk
last = max(seats).pk
ideal = set(range(first, last))
real = set(seat.pk for seat in seats)
diffe... | 26 | 61 | 0.658371 | 64 | 442 | 4.515625 | 0.6875 | 0.076125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.21267 | 442 | 16 | 62 | 27.625 | 0.795977 | 0.128959 | 0 | 0 | 0 | 0 | 0.082888 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41716acd74ef124d89f5dce40e0eba84b378df21 | 43,180 | py | Python | src/pylogit/mixed_logit.py | mathijsvdv/pylogit | 2e7a06907d11b6fe02d3f3f9df91d374ed8a0c6d | [
"BSD-3-Clause"
] | 153 | 2016-03-22T05:52:41.000Z | 2022-02-09T13:33:20.000Z | src/pylogit/mixed_logit.py | mathijsvdv/pylogit | 2e7a06907d11b6fe02d3f3f9df91d374ed8a0c6d | [
"BSD-3-Clause"
] | 63 | 2016-03-22T05:47:56.000Z | 2021-12-23T12:01:29.000Z | src/pylogit/mixed_logit.py | mathijsvdv/pylogit | 2e7a06907d11b6fe02d3f3f9df91d374ed8a0c6d | [
"BSD-3-Clause"
] | 91 | 2016-05-27T06:04:38.000Z | 2022-03-13T20:00:15.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 18 18:15:50 2016
@name: Mixed MultiNomial Logit
@author: Timothy Brathwaite
@summary: Contains functions necessary for estimating mixed multinomial logit
models (with the help of the "base_multinomial_cm.py" file).
Version 1 only works fo... | 44.979167 | 79 | 0.612297 | 5,293 | 43,180 | 4.788022 | 0.118458 | 0.009707 | 0.008523 | 0.007103 | 0.360178 | 0.283905 | 0.261571 | 0.225861 | 0.206092 | 0.194847 | 0 | 0.005837 | 0.333488 | 43,180 | 959 | 80 | 45.026069 | 0.874739 | 0.482145 | 0 | 0.28836 | 0 | 0 | 0.050646 | 0.002343 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042328 | false | 0.007937 | 0.034392 | 0 | 0.134921 | 0.005291 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4174d02ae022627c9a3fdf728ab8801e521bd891 | 7,836 | py | Python | node/blockchain/tests/test_models/test_signed_change_request/test_node_declaration.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 18 | 2021-11-30T04:02:13.000Z | 2022-03-24T12:33:57.000Z | node/blockchain/tests/test_models/test_signed_change_request/test_node_declaration.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 1 | 2022-02-04T17:07:38.000Z | 2022-02-04T17:07:38.000Z | node/blockchain/tests/test_models/test_signed_change_request/test_node_declaration.py | thenewboston-developers/Node | e71a405f4867786a54dd17ddd97595dd3a630018 | [
"MIT"
] | 5 | 2022-01-31T05:28:13.000Z | 2022-03-08T17:25:31.000Z | import json
import re
import pytest
from pydantic import ValidationError
from node.blockchain.inner_models import (
NodeDeclarationSignedChangeRequest, NodeDeclarationSignedChangeRequestMessage, SignedChangeRequest
)
from node.blockchain.mixins.crypto import HashableStringWrapper
from node.blockchain.tests.test_m... | 44.777143 | 119 | 0.727667 | 911 | 7,836 | 5.92865 | 0.149287 | 0.079985 | 0.126643 | 0.099981 | 0.591372 | 0.534716 | 0.479911 | 0.408628 | 0.381781 | 0.356786 | 0 | 0.032712 | 0.184661 | 7,836 | 174 | 120 | 45.034483 | 0.812647 | 0.006126 | 0 | 0.256944 | 0 | 0 | 0.133368 | 0.020686 | 0 | 0 | 0 | 0 | 0.145833 | 1 | 0.048611 | false | 0 | 0.048611 | 0 | 0.104167 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41754b7be3194cb3183aea7d9f558b7b18c2dc8f | 1,742 | py | Python | CodeComb_Core/config_shell.py | amartyaamp/CodeComb | 33fd50b91edd60dd08b1f4decc35e2fcf5f1a78d | [
"MIT"
] | 1 | 2019-09-06T07:14:57.000Z | 2019-09-06T07:14:57.000Z | CodeComb_Core/config_shell.py | amartyaamp/CodeComb | 33fd50b91edd60dd08b1f4decc35e2fcf5f1a78d | [
"MIT"
] | 12 | 2019-09-10T04:07:51.000Z | 2019-12-13T03:04:49.000Z | CodeComb_Core/config_shell.py | amartyaamp/CodeComb | 33fd50b91edd60dd08b1f4decc35e2fcf5f1a78d | [
"MIT"
] | 1 | 2019-09-11T04:12:03.000Z | 2019-09-11T04:12:03.000Z | import os
from pyfiglet import figlet_format
import cutie
import configparser
## Either colorama or termcolor
try:
import colorama
colorama.init()
except ImportError:
colorama = None
try:
from termcolor import colored
except ImportError:
colored = None
## Set the format config
def set_format():
form... | 23.226667 | 82 | 0.702641 | 233 | 1,742 | 5.090129 | 0.373391 | 0.067454 | 0.053963 | 0.021922 | 0.337268 | 0.305228 | 0.305228 | 0.305228 | 0.305228 | 0.305228 | 0 | 0.000668 | 0.141217 | 1,742 | 75 | 83 | 23.226667 | 0.792112 | 0.08209 | 0 | 0.355556 | 0 | 0 | 0.189666 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.177778 | 0 | 0.244444 | 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 |
41757415060bd40b7bf8385c7ab3e828141ce2df | 637 | py | Python | Candlestick-mpl_finance.py | anablima/Python-Studies | 958e181a7b9ce0569259f67f2d87d78b90cb5aa1 | [
"MIT"
] | null | null | null | Candlestick-mpl_finance.py | anablima/Python-Studies | 958e181a7b9ce0569259f67f2d87d78b90cb5aa1 | [
"MIT"
] | null | null | null | Candlestick-mpl_finance.py | anablima/Python-Studies | 958e181a7b9ce0569259f67f2d87d78b90cb5aa1 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as fig
import datetime as dt
import mpl_finance as mpf
import matplotlib.dates as mdates
import pandas_datareader.data as web
inicio=dt.datetime(2019,1,1)
fim=dt.datetime(2022,2,2)
df=web.DataReader('MGLU3.SA','yahoo',inicio,fim)
df['med_mov']=df['Close'].rolling(window=20,min_periods=0).mean... | 30.333333 | 65 | 0.758242 | 112 | 637 | 4.1875 | 0.517857 | 0.076759 | 0.034115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044851 | 0.054945 | 637 | 21 | 66 | 30.333333 | 0.734219 | 0 | 0 | 0 | 0 | 0 | 0.097179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.294118 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4177179531f58a2be53761395add53901bd1e218 | 1,901 | py | Python | components/eastereggs.py | n8wachT/BotListBot | 457160498a90c8d0a63d5a9f7400227e35431b6d | [
"MIT"
] | null | null | null | components/eastereggs.py | n8wachT/BotListBot | 457160498a90c8d0a63d5a9f7400227e35431b6d | [
"MIT"
] | null | null | null | components/eastereggs.py | n8wachT/BotListBot | 457160498a90c8d0a63d5a9f7400227e35431b6d | [
"MIT"
] | null | null | null | import random
from pprint import pprint
from peewee import fn
from model import Bot
from telegram import ReplyKeyboardMarkup
import util
from telegram import KeyboardButton
import captions
from model import track_activity
@track_activity('easteregg', '"crappy troll markup"')
def _crapPy_Tr0ll_kbmarkup(rows=None)... | 34.563636 | 127 | 0.652288 | 229 | 1,901 | 5.28821 | 0.50655 | 0.069364 | 0.024773 | 0.037985 | 0.067713 | 0.067713 | 0.067713 | 0 | 0 | 0 | 0 | 0.005219 | 0.193582 | 1,901 | 55 | 128 | 34.563636 | 0.784736 | 0 | 0 | 0.04878 | 0 | 0 | 0.165089 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0 | 0.243902 | 0 | 0.390244 | 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 |
417d85f2f2634da06e6ff80737c0f455994abeac | 5,398 | py | Python | sets/generator/nopattern/remote.py | ignacio-gallego/tbcnn_skill_pill | 66c3939e2944160c864b61495ac4c7aaa56acd18 | [
"MIT"
] | null | null | null | sets/generator/nopattern/remote.py | ignacio-gallego/tbcnn_skill_pill | 66c3939e2944160c864b61495ac4c7aaa56acd18 | [
"MIT"
] | null | null | null | sets/generator/nopattern/remote.py | ignacio-gallego/tbcnn_skill_pill | 66c3939e2944160c864b61495ac4c7aaa56acd18 | [
"MIT"
] | null | null | null | from pandas import DataFrame as PandasDataFrame
from optimus.engines.base.basedataframe import BaseDataFrame
class RemoteDummyAttribute:
def __init__(self, name, names, dummy_id, op):
self.__names = [*names, name]
self.__op = op
self.__id = dummy_id
def __getattr__(se... | 30.156425 | 115 | 0.567803 | 646 | 5,398 | 4.490712 | 0.190402 | 0.041365 | 0.018959 | 0.034471 | 0.235436 | 0.122372 | 0.109962 | 0.053775 | 0.053775 | 0.053775 | 0 | 0.001372 | 0.32475 | 5,398 | 178 | 116 | 30.325843 | 0.794513 | 0 | 0 | 0.128571 | 0 | 0 | 0.040571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157143 | false | 0 | 0.057143 | 0.042857 | 0.45 | 0.021429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
417e3d6a00fec073fc8e5b110ada2e2d5309582c | 1,919 | py | Python | app/util/ML/dataset.py | SoftwareEngineerUB/SmartEnergy | 8893728eaf989a3b8bd2c1b3a8a1a5e6c4ce9c10 | [
"Apache-2.0"
] | null | null | null | app/util/ML/dataset.py | SoftwareEngineerUB/SmartEnergy | 8893728eaf989a3b8bd2c1b3a8a1a5e6c4ce9c10 | [
"Apache-2.0"
] | null | null | null | app/util/ML/dataset.py | SoftwareEngineerUB/SmartEnergy | 8893728eaf989a3b8bd2c1b3a8a1a5e6c4ce9c10 | [
"Apache-2.0"
] | null | null | null | import torch as T
import numpy as np
from app.util.ML.constants import *
DEVICE = T.device("cpu")
GPU_ENABLED = False
class DeviceMeterDataset(T.utils.data.Dataset):
@staticmethod
def createDatasets(device_id, mul_factor=1):
allData = np.load(BASE_PATH + TRAIN_FOLDER + DEVICE_BASE_NAME + str(device_... | 31.983333 | 112 | 0.625847 | 244 | 1,919 | 4.709016 | 0.368852 | 0.062663 | 0.034813 | 0.086162 | 0.160139 | 0.13577 | 0.13577 | 0.13577 | 0.13577 | 0.13577 | 0 | 0.024788 | 0.2642 | 1,919 | 59 | 113 | 32.525424 | 0.788952 | 0.042209 | 0 | 0.095238 | 0 | 0 | 0.016349 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119048 | false | 0 | 0.071429 | 0.02381 | 0.309524 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
417fc0767f9f3045bfabe98057d3d6ae8df77d25 | 59,087 | py | Python | src/rgt/viz/Main.py | mguo123/pan_omics | e1cacd543635b398fb08c0b31d08fa6b7c389658 | [
"MIT"
] | null | null | null | src/rgt/viz/Main.py | mguo123/pan_omics | e1cacd543635b398fb08c0b31d08fa6b7c389658 | [
"MIT"
] | null | null | null | src/rgt/viz/Main.py | mguo123/pan_omics | e1cacd543635b398fb08c0b31d08fa6b7c389658 | [
"MIT"
] | null | null | null | # Python Libraries
from __future__ import division
from __future__ import print_function
import os
import sys
import time
import getpass
import argparse
import datetime
import matplotlib
matplotlib.use('Agg', warn=False)
from .boxplot import Boxplot
from .lineplot import Lineplot
from .jaccard_test import Jaccard
fr... | 66.764972 | 263 | 0.581803 | 6,795 | 59,087 | 4.966004 | 0.091685 | 0.053461 | 0.043119 | 0.047297 | 0.656176 | 0.62989 | 0.58849 | 0.519115 | 0.476944 | 0.452495 | 0 | 0.007264 | 0.261462 | 59,087 | 884 | 264 | 66.840498 | 0.766007 | 0.037995 | 0 | 0.309353 | 0 | 0.051799 | 0.318442 | 0.00543 | 0.002878 | 0 | 0 | 0 | 0 | 1 | 0.001439 | false | 0.005755 | 0.025899 | 0 | 0.027338 | 0.143885 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4180dd4796db00aa27180113a9c270adce7f7aee | 8,390 | py | Python | viz/uncertainty.py | WadhwaniAI/covid-modelling | db9f89bfbec392ad4de6b4583cfab7c3d823c1c9 | [
"MIT"
] | 3 | 2021-06-23T10:27:11.000Z | 2022-02-09T07:50:42.000Z | viz/uncertainty.py | WadhwaniAI/covid-modelling | db9f89bfbec392ad4de6b4583cfab7c3d823c1c9 | [
"MIT"
] | 3 | 2021-06-23T09:36:29.000Z | 2022-01-13T03:38:16.000Z | viz/uncertainty.py | WadhwaniAI/covid-modelling | db9f89bfbec392ad4de6b4583cfab7c3d823c1c9 | [
"MIT"
] | null | null | null | import datetime
from copy import copy
from datetime import timedelta
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from adjustText import adjust_text
from matplotlib.lines import Line2D
from matplotlib.patches import Patch
from utils.generic.enums import Columns
from viz.... | 40.728155 | 104 | 0.586651 | 1,069 | 8,390 | 4.434986 | 0.213283 | 0.012656 | 0.016452 | 0.018561 | 0.325881 | 0.229066 | 0.166632 | 0.115587 | 0.094917 | 0.07973 | 0 | 0.018687 | 0.266508 | 8,390 | 205 | 105 | 40.926829 | 0.751706 | 0.00882 | 0 | 0.269006 | 0 | 0 | 0.109556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023392 | false | 0.005848 | 0.070175 | 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 |
4186a83376db6719d09806172772089d522d0c98 | 12,828 | py | Python | Game-TestHuman.py | brian1985/rl-wall-avoider | c6c5d87f3693bfd27f39a4015f361773bf219cd3 | [
"MIT"
] | null | null | null | Game-TestHuman.py | brian1985/rl-wall-avoider | c6c5d87f3693bfd27f39a4015f361773bf219cd3 | [
"MIT"
] | null | null | null | Game-TestHuman.py | brian1985/rl-wall-avoider | c6c5d87f3693bfd27f39a4015f361773bf219cd3 | [
"MIT"
] | null | null | null | from random import randint, choice
from collections import deque
from time import sleep
import pygame, time
import numpy as np
"""
Code to use arduino as input
import serial
import re
board = serial.Serial("/dev/ttyACM0")
data = board.readline()
data = data.decode()
data = re.sub("[^0-9|]", "", data)
xyz = data.spl... | 41.514563 | 116 | 0.528687 | 1,590 | 12,828 | 4.138994 | 0.159748 | 0.032822 | 0.014891 | 0.017323 | 0.26774 | 0.198146 | 0.16183 | 0.144203 | 0.127944 | 0.116092 | 0 | 0.022829 | 0.323901 | 12,828 | 308 | 117 | 41.649351 | 0.735962 | 0.145385 | 0 | 0.17757 | 0 | 0 | 0.008123 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060748 | false | 0.004673 | 0.023364 | 0 | 0.214953 | 0.037383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4186fcc1ce90afaf587b5f5bd0c8099ee8a70d32 | 26,536 | py | Python | backend/models_test.py | OmarThinks/PIM-API | b7259dd64b397844b26d5e190df5a8701be0ff85 | [
"MIT"
] | null | null | null | backend/models_test.py | OmarThinks/PIM-API | b7259dd64b397844b26d5e190df5a8701be0ff85 | [
"MIT"
] | null | null | null | backend/models_test.py | OmarThinks/PIM-API | b7259dd64b397844b26d5e190df5a8701be0ff85 | [
"MIT"
] | null | null | null | import json
import unittest
from models import (NotReceived, validate_key,
MyModel, Product,Category,ProductCategory,
populate_tables, db_drop_and_create_all,get_dict,)
#from app import create_app
from __init__ import session
unittest.TestLoader.sortTestMethodsUsing = None
class modelsTestCase(unittest.TestCase):
... | 28.021119 | 77 | 0.690496 | 3,831 | 26,536 | 4.568781 | 0.061864 | 0.110552 | 0.014398 | 0.021368 | 0.742273 | 0.684454 | 0.603668 | 0.531395 | 0.471691 | 0.437868 | 0 | 0.050464 | 0.134497 | 26,536 | 946 | 78 | 28.05074 | 0.71163 | 0.096096 | 0 | 0.494526 | 0 | 0 | 0.193759 | 0.012307 | 0 | 0 | 0 | 0 | 0.175182 | 1 | 0.109489 | false | 0.025547 | 0.007299 | 0 | 0.122263 | 0.136861 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
418a73ccd36a29573b20675d0e5a6f1331e0f75a | 1,986 | py | Python | jenskipper/cli/patch.py | flupke/jenskipper | bb3de3745142a5b1bf3df40409711ae74fdb07ea | [
"Apache-2.0"
] | 4 | 2016-04-30T12:43:01.000Z | 2016-12-02T17:42:47.000Z | jenskipper/cli/patch.py | Stupeflix/jenskipper | bb3de3745142a5b1bf3df40409711ae74fdb07ea | [
"Apache-2.0"
] | null | null | null | jenskipper/cli/patch.py | Stupeflix/jenskipper | bb3de3745142a5b1bf3df40409711ae74fdb07ea | [
"Apache-2.0"
] | null | null | null | import subprocess
import click
from .. import utils
from .. import exceptions
from .. import jenkins_api
from . import decorators
from . import diff
@click.command()
@decorators.repos_command
@decorators.jobs_command(num_jobs=1)
@decorators.handle_all_errors()
@click.argument('fname', type=click.Path(exists=True, d... | 35.464286 | 78 | 0.624371 | 253 | 1,986 | 4.790514 | 0.478261 | 0.041254 | 0.037129 | 0.021452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005533 | 0.271903 | 1,986 | 55 | 79 | 36.109091 | 0.832642 | 0.181772 | 0 | 0.054054 | 0 | 0 | 0.096855 | 0.014465 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0.027027 | 0.189189 | 0 | 0.216216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
418dbdc2ab0a6e83c7236c8b810a43bb21ee2351 | 2,783 | py | Python | src/mykrobe/stats/stats.py | Phelimb/mykrobe-atlas-cli | 866471d0c2d7030698d37f5c90fd232cafc261d5 | [
"MIT"
] | 1 | 2020-01-10T06:43:22.000Z | 2020-01-10T06:43:22.000Z | src/mykrobe/stats/stats.py | Phelimb/mykrobe-atlas-cli | 866471d0c2d7030698d37f5c90fd232cafc261d5 | [
"MIT"
] | null | null | null | src/mykrobe/stats/stats.py | Phelimb/mykrobe-atlas-cli | 866471d0c2d7030698d37f5c90fd232cafc261d5 | [
"MIT"
] | null | null | null | from math import exp
from math import factorial
from math import log
import logging
logger = logging.getLogger(__name__)
def percent_coverage_from_expected_coverage(coverage):
# With low coverage we expect a lower percent of the sequence to be
# coverage.
return 1 - exp(-coverage)
def log_lik_probabilit... | 33.939024 | 106 | 0.684513 | 359 | 2,783 | 4.902507 | 0.192201 | 0.102273 | 0.081818 | 0.057955 | 0.488068 | 0.447727 | 0.320455 | 0.217045 | 0.170455 | 0.170455 | 0 | 0.008023 | 0.238591 | 2,783 | 81 | 107 | 34.358025 | 0.822558 | 0.224937 | 0 | 0.113208 | 0 | 0 | 0.029357 | 0 | 0 | 0 | 0 | 0 | 0.018868 | 1 | 0.150943 | false | 0 | 0.075472 | 0.056604 | 0.377358 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
418fb24b012a503b2e7384627bb584b231c134f7 | 6,660 | py | Python | keras/utils/losses_utils.py | PJmouraocs/keras | 7a39b6c62d43c25472b2c2476bd2a8983ae4f682 | [
"MIT"
] | 259 | 2016-02-09T09:06:29.000Z | 2021-07-29T05:27:40.000Z | keras/utils/losses_utils.py | PJmouraocs/keras | 7a39b6c62d43c25472b2c2476bd2a8983ae4f682 | [
"MIT"
] | 50 | 2016-02-24T14:46:57.000Z | 2020-01-20T07:34:19.000Z | keras/utils/losses_utils.py | PJmouraocs/keras | 7a39b6c62d43c25472b2c2476bd2a8983ae4f682 | [
"MIT"
] | 94 | 2016-02-17T20:59:27.000Z | 2021-04-19T08:18:16.000Z | """Utilities related to losses."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from .. import backend as K
class Reduction(object):
"""Types of loss reduction.
Contains the following values:
* `NONE`: Un-reduced weight... | 37.206704 | 84 | 0.633333 | 893 | 6,660 | 4.5028 | 0.19037 | 0.107436 | 0.023875 | 0.031833 | 0.256155 | 0.201442 | 0.067645 | 0.040786 | 0.040786 | 0.040786 | 0 | 0.005237 | 0.283183 | 6,660 | 178 | 85 | 37.41573 | 0.837034 | 0.344144 | 0 | 0.152174 | 0 | 0 | 0.043956 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076087 | false | 0 | 0.054348 | 0.01087 | 0.25 | 0.01087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4191ed02b99fe80f0d4118fb2e70bad9e2f6b771 | 18,531 | py | Python | zeropdk/layout/waveguide_rounding.py | lightwave-lab/zeropdk | cc49eb1008c449185cf9dcdbb283ba086ebd8de0 | [
"MIT"
] | 17 | 2019-08-22T15:55:50.000Z | 2022-02-02T20:52:00.000Z | zeropdk/layout/waveguide_rounding.py | lightwave-lab/zeropdk | cc49eb1008c449185cf9dcdbb283ba086ebd8de0 | [
"MIT"
] | 1 | 2020-09-29T00:43:38.000Z | 2020-10-27T07:15:01.000Z | zeropdk/layout/waveguide_rounding.py | lightwave-lab/zeropdk | cc49eb1008c449185cf9dcdbb283ba086ebd8de0 | [
"MIT"
] | 3 | 2019-09-04T07:48:35.000Z | 2021-06-16T09:39:42.000Z | """ Straight waveguide rounding algorithms"""
from functools import lru_cache
from math import atan2, tan, inf
import numpy as np
import klayout.db as kdb
from zeropdk.layout.geometry import rotate, fix_angle, cross_prod
from zeropdk.layout.algorithms.sampling import sample_function
from zeropdk.layout.waveguides impor... | 29.744783 | 128 | 0.585667 | 2,641 | 18,531 | 3.957592 | 0.159031 | 0.029659 | 0.004305 | 0.013395 | 0.237467 | 0.199101 | 0.153272 | 0.135668 | 0.128205 | 0.119786 | 0 | 0.035761 | 0.295289 | 18,531 | 622 | 129 | 29.792605 | 0.764607 | 0.162431 | 0 | 0.210396 | 0 | 0 | 0.032665 | 0.00449 | 0 | 0 | 0 | 0.001608 | 0.014851 | 1 | 0.084158 | false | 0.004951 | 0.032178 | 0.019802 | 0.220297 | 0.007426 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
419209cfa7ba87d275b63ba33aa6f02f592a320e | 3,616 | py | Python | PyHART_tutorial/05_device_specific_commands_for_DDS.py | wdehoog/PyHART | abe410e45d66710f65d5499165aab066c9ad9fa3 | [
"MIT"
] | null | null | null | PyHART_tutorial/05_device_specific_commands_for_DDS.py | wdehoog/PyHART | abe410e45d66710f65d5499165aab066c9ad9fa3 | [
"MIT"
] | null | null | null | PyHART_tutorial/05_device_specific_commands_for_DDS.py | wdehoog/PyHART | abe410e45d66710f65d5499165aab066c9ad9fa3 | [
"MIT"
] | null | null | null | #
# In this module is shown how to send a command to an HART device.
# Encode/decode data, logging and manage responses codes.
#
'''
-------------------------------------------------------------------------------
SAME CODE OF EXAMPLE 01 - IGNORE THIS SECTION
This is included to test the example
-----------... | 29.16129 | 97 | 0.555586 | 334 | 3,616 | 6.002994 | 0.45509 | 0.072319 | 0.097257 | 0.095761 | 0.167581 | 0.145636 | 0.145636 | 0.145636 | 0 | 0 | 0 | 0.022636 | 0.242533 | 3,616 | 123 | 98 | 29.398374 | 0.709383 | 0.268529 | 0 | 0.105263 | 0 | 0 | 0.082375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.087719 | 0 | 0.087719 | 0.070175 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4192d1cec463e5f4665e763436ee29fbd56e053f | 9,315 | py | Python | productporter/product/views.py | kamidox/weixin_producthunt | 24269da93e75374ee481b1b78257b18abda4d0c7 | [
"BSD-3-Clause"
] | 10 | 2015-01-07T06:01:13.000Z | 2021-02-14T09:11:10.000Z | productporter/product/views.py | kamidox/weixin_producthunt | 24269da93e75374ee481b1b78257b18abda4d0c7 | [
"BSD-3-Clause"
] | 3 | 2015-01-01T09:56:04.000Z | 2015-01-06T01:34:44.000Z | productporter/product/views.py | kamidox/weixin_producthunt | 24269da93e75374ee481b1b78257b18abda4d0c7 | [
"BSD-3-Clause"
] | 5 | 2015-01-01T10:31:50.000Z | 2018-03-09T05:22:16.000Z | #!/bin/env python
# -*- coding: utf-8 -*-
"""
productporter.product.views
~~~~~~~~~~~~~~~~~~~~~~~~~
product blueprint
:copyright: (c) 2014 by the ProductPorter Team.
:license: BSD, see LICENSE for more details.
"""
import datetime
import json
from flask import Blueprint, request, current_app, flas... | 32.231834 | 95 | 0.615137 | 1,099 | 9,315 | 5.070974 | 0.196542 | 0.019379 | 0.017585 | 0.02243 | 0.362462 | 0.258748 | 0.219271 | 0.171541 | 0.164364 | 0.1274 | 0 | 0.004664 | 0.240365 | 9,315 | 288 | 96 | 32.34375 | 0.782928 | 0.122061 | 0 | 0.338164 | 0 | 0.004831 | 0.152599 | 0.013589 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067633 | false | 0.004831 | 0.048309 | 0 | 0.217391 | 0.009662 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
419429d46af11923cde1d968263d403240c3dfee | 2,241 | py | Python | clintk/cat2vec/feature_selection.py | DITEP/db-cleansing | 9a2360d45bc250b9b1ec73ba7efc2d14b3250c74 | [
"MIT"
] | 5 | 2019-04-19T05:45:20.000Z | 2021-11-16T13:22:07.000Z | clintk/cat2vec/feature_selection.py | DITEP/db-cleansing | 9a2360d45bc250b9b1ec73ba7efc2d14b3250c74 | [
"MIT"
] | null | null | null | clintk/cat2vec/feature_selection.py | DITEP/db-cleansing | 9a2360d45bc250b9b1ec73ba7efc2d14b3250c74 | [
"MIT"
] | null | null | null | """
selects parameters with L1 logistic regression
"""
import pandas as pd
from sklearn.base import BaseEstimator
class LassoSelector(BaseEstimator):
"""
This class is made to be used after cat2vec.lasso_gridsearch since it
selects the features from a dataframe that have the most weighted
coefficient... | 29.486842 | 77 | 0.604641 | 294 | 2,241 | 4.465986 | 0.37415 | 0.076161 | 0.063976 | 0.024372 | 0.054836 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023154 | 0.286925 | 2,241 | 75 | 78 | 29.88 | 0.798498 | 0.551986 | 0 | 0 | 0 | 0 | 0.019925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.111111 | 0.055556 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4197fe5fe8d16fcca6d82bcf73ee4d6614030b79 | 3,407 | py | Python | src/onevision/nn/layer/padding.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | 2 | 2022-03-28T09:46:38.000Z | 2022-03-28T14:12:32.000Z | src/onevision/nn/layer/padding.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | src/onevision/nn/layer/padding.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Padding Layers.
"""
from __future__ import annotations
import math
from typing import Union
import torch.nn.functional as F
from torch import nn
from torch import Tensor
from onevision.factory import PADDING_LAYERS
from onevision.type import Int2T
__all__ = [
"... | 29.885965 | 85 | 0.606692 | 441 | 3,407 | 4.537415 | 0.297052 | 0.084958 | 0.027986 | 0.029985 | 0.138931 | 0.067966 | 0.034983 | 0.034983 | 0.034983 | 0 | 0 | 0.019433 | 0.275022 | 3,407 | 113 | 86 | 30.150442 | 0.790688 | 0.221016 | 0 | 0.121212 | 0 | 0 | 0.040895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.121212 | 0 | 0.30303 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
419b7fd6852c60efa1fd82faf32167dd58882039 | 236 | py | Python | demo/use_pickle.py | 1987539447/start-python | 06ee5eb30e7395cd8432e8e33d7209fa855f4ad9 | [
"Apache-2.0"
] | null | null | null | demo/use_pickle.py | 1987539447/start-python | 06ee5eb30e7395cd8432e8e33d7209fa855f4ad9 | [
"Apache-2.0"
] | null | null | null | demo/use_pickle.py | 1987539447/start-python | 06ee5eb30e7395cd8432e8e33d7209fa855f4ad9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# FileName:use_pickle.py
# -*- coding: utf-8 -*-
""" 通过pickle序列化对象"""
import pickle
bob = dict(name='Bob', age=20, score=88)
data = pickle.dumps(bob)
print(data)
re_bob = pickle.loads(data)
print(re_bob)
| 11.8 | 40 | 0.661017 | 36 | 236 | 4.25 | 0.694444 | 0.065359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029851 | 0.148305 | 236 | 19 | 41 | 12.421053 | 0.731343 | 0.338983 | 0 | 0 | 0 | 0 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
419d836e21b88898e0497e1625d6eddb5fed1199 | 5,349 | py | Python | pycfmodel/model/cf_model.py | donatoaz/pycfmodel | 1586e290b67d2347493dd4a77d2b0c8ee6c0936b | [
"Apache-2.0"
] | null | null | null | pycfmodel/model/cf_model.py | donatoaz/pycfmodel | 1586e290b67d2347493dd4a77d2b0c8ee6c0936b | [
"Apache-2.0"
] | null | null | null | pycfmodel/model/cf_model.py | donatoaz/pycfmodel | 1586e290b67d2347493dd4a77d2b0c8ee6c0936b | [
"Apache-2.0"
] | null | null | null | from datetime import date
from typing import Any, ClassVar, Collection, Dict, List, Optional, Type, Union
from pycfmodel.action_expander import expand_actions
from pycfmodel.constants import AWS_NOVALUE
from pycfmodel.model.base import CustomModel
from pycfmodel.model.parameter import Parameter
from pycfmodel.model.re... | 39.043796 | 125 | 0.665919 | 602 | 5,349 | 5.815615 | 0.303987 | 0.021994 | 0.030848 | 0.015995 | 0.081691 | 0.051985 | 0.027992 | 0.027992 | 0.027992 | 0.027992 | 0 | 0.00442 | 0.238736 | 5,349 | 136 | 126 | 39.330882 | 0.855354 | 0.306786 | 0 | 0.057143 | 0 | 0 | 0.055572 | 0.00611 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042857 | false | 0.028571 | 0.157143 | 0 | 0.414286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
419de91687fa41f1d418876dd9614a95ee81af4f | 39,788 | py | Python | nessus/scans.py | tharvik/nessus | 4551c319ac6cb3026ddb096a0f6f71f060a578ab | [
"CC0-1.0"
] | null | null | null | nessus/scans.py | tharvik/nessus | 4551c319ac6cb3026ddb096a0f6f71f060a578ab | [
"CC0-1.0"
] | null | null | null | nessus/scans.py | tharvik/nessus | 4551c319ac6cb3026ddb096a0f6f71f060a578ab | [
"CC0-1.0"
] | null | null | null | """
sub modules for everything about the scans
"""
from enum import Enum
from uuid import uuid4
from typing import Iterable, Mapping, Union, Optional, MutableMapping
from nessus.base import LibNessusBase
from nessus.editor import NessusTemplate
from nessus.model import lying_exist, lying_type, Object, lying_exist_an... | 41.970464 | 120 | 0.663894 | 4,298 | 39,788 | 5.905537 | 0.085621 | 0.064298 | 0.024703 | 0.022063 | 0.310299 | 0.237452 | 0.196793 | 0.169963 | 0.160586 | 0.158577 | 0 | 0.000462 | 0.238238 | 39,788 | 947 | 121 | 42.014784 | 0.836979 | 0.068111 | 0 | 0.290087 | 0 | 0 | 0.08506 | 0.026309 | 0 | 0 | 0 | 0.002112 | 0 | 1 | 0.091837 | false | 0 | 0.01312 | 0.002915 | 0.287172 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a06f10c100f3cd38eb1a9e5dbb23f8546f5139 | 10,444 | py | Python | panopticon/wme.py | scyrusm/panopticon | bb28deffb97fd7c983a5abb8c2626c24d9f25e48 | [
"BSD-3-Clause"
] | 3 | 2021-01-14T13:38:32.000Z | 2021-09-07T12:18:48.000Z | panopticon/wme.py | scyrusm/panopticon | bb28deffb97fd7c983a5abb8c2626c24d9f25e48 | [
"BSD-3-Clause"
] | null | null | null | panopticon/wme.py | scyrusm/panopticon | bb28deffb97fd7c983a5abb8c2626c24d9f25e48 | [
"BSD-3-Clause"
] | 2 | 2020-12-22T03:15:27.000Z | 2020-12-22T03:16:50.000Z | """
wme.py
====================================
wme
"""
# second version
import numpy as np
from tqdm import tqdm
import pandas as pd
from scipy import stats
from itertools import islice
from scipy.sparse import coo_matrix, save_npz
from panopticon.utilities import get_valid_gene_info
def get_list_of_gene_windows(ge... | 33.155556 | 203 | 0.578514 | 1,186 | 10,444 | 4.840641 | 0.215008 | 0.038321 | 0.029612 | 0.05034 | 0.127156 | 0.06201 | 0.048772 | 0.048772 | 0.035882 | 0 | 0 | 0.010108 | 0.317982 | 10,444 | 314 | 204 | 33.261147 | 0.795873 | 0.188051 | 0 | 0.110465 | 0 | 0 | 0.050192 | 0.003338 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034884 | false | 0 | 0.05814 | 0 | 0.133721 | 0.005814 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a106d05012e4ff5dbc04ccdc03a0e70f7b8fee | 4,669 | py | Python | cogs/rr.py | D3monEmper0r/CA-Discord-Bot | 1d38e00582cd0ea84af72a39daedc963256fd57a | [
"MIT"
] | null | null | null | cogs/rr.py | D3monEmper0r/CA-Discord-Bot | 1d38e00582cd0ea84af72a39daedc963256fd57a | [
"MIT"
] | 1 | 2021-03-26T15:41:07.000Z | 2021-03-26T15:41:07.000Z | cogs/rr.py | D3monEmper0r/CA-Discord-Bot | 1d38e00582cd0ea84af72a39daedc963256fd57a | [
"MIT"
] | null | null | null | ##### Imports #####
import discord
import sqlite3
from .__init__ import c
from discord.ext import commands
def create(db):
conn = sqlite3.connect(db)
c = conn.cursor()
newDbTable = """CREATE TABLE IF NOT EXISTS
reactionRole(role TEXT PRIMARY KEY, emote TEXT UNIQUE)"""
c.execute(newDbTable)
co... | 31.126667 | 103 | 0.610409 | 603 | 4,669 | 4.643449 | 0.212272 | 0.042857 | 0.0325 | 0.03 | 0.604643 | 0.574643 | 0.544643 | 0.498929 | 0.457857 | 0.457857 | 0 | 0.008331 | 0.254444 | 4,669 | 150 | 104 | 31.126667 | 0.796036 | 0.012422 | 0 | 0.512821 | 0 | 0 | 0.12928 | 0 | 0 | 0 | 0.003512 | 0 | 0 | 1 | 0.059829 | false | 0 | 0.034188 | 0 | 0.102564 | 0.017094 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a3c225eedd6acf9dfa7630da6b90b21ff018d4 | 18,539 | py | Python | python/erdos/__init__.py | objorkman/erdos | 13b3be477d6674e9e377a56dec484f80ba41e915 | [
"Apache-2.0"
] | null | null | null | python/erdos/__init__.py | objorkman/erdos | 13b3be477d6674e9e377a56dec484f80ba41e915 | [
"Apache-2.0"
] | null | null | null | python/erdos/__init__.py | objorkman/erdos | 13b3be477d6674e9e377a56dec484f80ba41e915 | [
"Apache-2.0"
] | null | null | null | import logging
import multiprocessing as mp
import signal
import sys
from functools import wraps
from typing import Optional, Tuple, Type
import erdos.context
import erdos.internal as _internal
import erdos.operator
import erdos.utils
from erdos.message import Message, WatermarkMessage
from erdos.profile import Profil... | 34.847744 | 87 | 0.663089 | 2,358 | 18,539 | 5.000848 | 0.126378 | 0.022388 | 0.023745 | 0.017809 | 0.654003 | 0.629834 | 0.572676 | 0.538755 | 0.520353 | 0.490926 | 0 | 0.004936 | 0.246022 | 18,539 | 531 | 88 | 34.913371 | 0.838675 | 0.349426 | 0 | 0.348684 | 0 | 0.003289 | 0.14256 | 0.016302 | 0 | 0 | 0 | 0.001883 | 0 | 1 | 0.055921 | false | 0 | 0.046053 | 0.003289 | 0.134868 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a3f81d4c1f4c13d941abba84f2c1450266e8a1 | 7,951 | py | Python | compyler/node.py | Fogelman/compyler | 76c6ba12f264131b6a5d800dd40bb76fe3155900 | [
"MIT"
] | null | null | null | compyler/node.py | Fogelman/compyler | 76c6ba12f264131b6a5d800dd40bb76fe3155900 | [
"MIT"
] | null | null | null | compyler/node.py | Fogelman/compyler | 76c6ba12f264131b6a5d800dd40bb76fe3155900 | [
"MIT"
] | null | null | null |
from llvmlite import ir
from rply.token import BaseBox
from abc import ABC, abstractmethod
import operator as op
from compyler.symboltable import FunctionSymbol, SymbolTable
class Node(BaseBox, ABC):
def __init__(self, value, children=None):
self.value = value
self.children = children
i... | 30.003774 | 127 | 0.599673 | 973 | 7,951 | 4.840699 | 0.169579 | 0.013588 | 0.059448 | 0.074735 | 0.392994 | 0.303822 | 0.244586 | 0.213163 | 0.171975 | 0.140552 | 0 | 0.010604 | 0.264621 | 7,951 | 264 | 128 | 30.117424 | 0.794938 | 0.011319 | 0 | 0.169399 | 0 | 0 | 0.045837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125683 | false | 0.010929 | 0.027322 | 0.021858 | 0.338798 | 0.027322 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a41dfe04ba1695c5ba79a312ffef30febd8cc6 | 2,617 | py | Python | tests/test_gnmi.py | dmulyalin/nornir-salt | 184002995515dddc802b578400370c2219e94957 | [
"MIT"
] | 5 | 2021-01-22T09:34:55.000Z | 2021-12-22T08:12:34.000Z | tests/test_gnmi.py | dmulyalin/nornir-salt | 184002995515dddc802b578400370c2219e94957 | [
"MIT"
] | 2 | 2022-01-27T14:46:40.000Z | 2022-02-28T16:59:01.000Z | tests/test_gnmi.py | dmulyalin/nornir-salt | 184002995515dddc802b578400370c2219e94957 | [
"MIT"
] | 1 | 2021-01-10T04:37:08.000Z | 2021-01-10T04:37:08.000Z | """
At the moment this does not tests apat from testing import of PyGNMI library and gNMI
connecton and task plugins.
Was not able to find always-on endpoints that can test using gNMI, Cisco sandboxes has gRPC
API available but that is different.
"""
import sys
import pprint
import logging
import yaml
import pytest
im... | 25.910891 | 91 | 0.680168 | 313 | 2,617 | 5.466454 | 0.41853 | 0.046756 | 0.07481 | 0.084161 | 0.19813 | 0.106955 | 0.074226 | 0.074226 | 0.051432 | 0 | 0 | 0.008996 | 0.192969 | 2,617 | 100 | 92 | 26.17 | 0.801136 | 0.173481 | 0 | 0.028571 | 0 | 0 | 0.22321 | 0.048198 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0.028571 | 0.185714 | 0 | 0.228571 | 0.014286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a614b41c6ed87485f48e036058ce573a7b945d | 690 | py | Python | src/tests/benchmarks/tools/bench/AnTuTu6.py | VirtualVFix/AndroidTestFramework | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | [
"MIT"
] | null | null | null | src/tests/benchmarks/tools/bench/AnTuTu6.py | VirtualVFix/AndroidTestFramework | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | [
"MIT"
] | null | null | null | src/tests/benchmarks/tools/bench/AnTuTu6.py | VirtualVFix/AndroidTestFramework | 1feb769c6aca39a78e6daefd6face0a1e4d62cd4 | [
"MIT"
] | null | null | null | # All rights reserved by forest fairy.
# You cannot modify or share anything without sacrifice.
# If you don't agree, keep calm and don't look at code bellow!
__author__ = "VirtualV <https://github.com/virtualvfix>"
__date__ = "$Apr 12, 2014 4:40:25 PM$"
import ast
from tests.benchmarks.tools.base import App
class ... | 31.363636 | 66 | 0.665217 | 97 | 690 | 4.474227 | 0.731959 | 0.041475 | 0.082949 | 0.110599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023853 | 0.210145 | 690 | 21 | 67 | 32.857143 | 0.772477 | 0.236232 | 0 | 0 | 0 | 0 | 0.131274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a6d2898476c90a1f687ee05cacf8a8f146ec52 | 1,496 | py | Python | osc_bge/users/admin.py | jisuhan3201/osc-bge | 125c441d23d7f1fdb2d9b8f42f859082e757e25a | [
"MIT"
] | null | null | null | osc_bge/users/admin.py | jisuhan3201/osc-bge | 125c441d23d7f1fdb2d9b8f42f859082e757e25a | [
"MIT"
] | 5 | 2020-06-05T19:49:47.000Z | 2021-09-08T00:50:55.000Z | osc_bge/users/admin.py | jisuhan3201/osc-bge | 125c441d23d7f1fdb2d9b8f42f859082e757e25a | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth import admin as auth_admin
from django.contrib.auth import get_user_model
from osc_bge.users.forms import UserChangeForm, UserCreationForm
from . import models
User = get_user_model()
@admin.register(User)
class UserAdmin(auth_admin.UserAdmin):
form = Us... | 22 | 103 | 0.681818 | 144 | 1,496 | 6.951389 | 0.347222 | 0.090909 | 0.113886 | 0.155844 | 0.273726 | 0.243756 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198529 | 1,496 | 67 | 104 | 22.328358 | 0.834862 | 0 | 0 | 0.32 | 0 | 0 | 0.093583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.46 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a79266ccd514b38d38bed6f38f0c721bb4fe9e | 3,949 | py | Python | scripts/ros_tensorflow_classify.py | xuanlvxin/blog_backup | 691c040efe4d752b4c4badbdd5dd78960ed966e2 | [
"Apache-2.0"
] | 45 | 2018-05-13T01:55:40.000Z | 2022-03-28T15:20:48.000Z | scripts/ros_tensorflow_classify.py | xuanlvxin/blog_backup | 691c040efe4d752b4c4badbdd5dd78960ed966e2 | [
"Apache-2.0"
] | 1 | 2018-06-06T10:39:02.000Z | 2018-09-05T01:52:19.000Z | scripts/ros_tensorflow_classify.py | xuanlvxin/blog_backup | 691c040efe4d752b4c4badbdd5dd78960ed966e2 | [
"Apache-2.0"
] | 17 | 2018-05-14T12:17:57.000Z | 2020-03-29T09:41:07.000Z | #!/usr/bin/env python
import rospy
from sensor_msgs.msg import Image
from std_msgs.msg import String
from cv_bridge import CvBridge
import cv2
import numpy as np
import tensorflow as tf
import os
import re
class RosTensorFlow():
def __init__(self):
self._session = tf.Session()
self._cv_bri... | 37.971154 | 100 | 0.640669 | 541 | 3,949 | 4.35305 | 0.286506 | 0.033121 | 0.023779 | 0.014013 | 0.152866 | 0.101911 | 0.061147 | 0.061147 | 0.03482 | 0.03482 | 0 | 0.008144 | 0.253735 | 3,949 | 103 | 101 | 38.339806 | 0.790974 | 0.068625 | 0 | 0 | 0 | 0 | 0.117375 | 0.058279 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051948 | false | 0 | 0.12987 | 0 | 0.207792 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a7a2ca9d0dcc0caead7e8e09caea9c36c46387 | 3,075 | py | Python | python/v1/generate_default_line_item.py | googleads/googleads-displayvideo-examples | cd1b4b3bc63e068fef4ff23264232a65f70207b5 | [
"Apache-2.0"
] | 2 | 2021-10-08T12:10:38.000Z | 2022-01-23T16:00:12.000Z | python/v1/generate_default_line_item.py | googleads/googleads-displayvideo-examples | cd1b4b3bc63e068fef4ff23264232a65f70207b5 | [
"Apache-2.0"
] | 1 | 2021-04-09T16:34:06.000Z | 2021-04-12T14:42:00.000Z | python/v1/generate_default_line_item.py | googleads/googleads-displayvideo-examples | cd1b4b3bc63e068fef4ff23264232a65f70207b5 | [
"Apache-2.0"
] | 4 | 2021-05-20T17:55:54.000Z | 2022-02-10T14:13:40.000Z | #!/usr/bin/python
#
# Copyright 2021 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 33.791209 | 99 | 0.744715 | 446 | 3,075 | 4.964126 | 0.363229 | 0.083108 | 0.04336 | 0.036134 | 0.242096 | 0.217706 | 0.172538 | 0.079494 | 0.079494 | 0.079494 | 0 | 0.004706 | 0.170732 | 3,075 | 90 | 100 | 34.166667 | 0.863529 | 0.355772 | 0 | 0.155556 | 0 | 0 | 0.369365 | 0.08248 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.111111 | 0 | 0.133333 | 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 |
41a92c8d5a10768f359c0ce9e4aa075658259077 | 3,897 | py | Python | datacombine/tests/test_models.py | Crimson-Star-Software/data-combine | 3209ae2316afc38417e51c3261494d6e7d2e4e2a | [
"MIT"
] | null | null | null | datacombine/tests/test_models.py | Crimson-Star-Software/data-combine | 3209ae2316afc38417e51c3261494d6e7d2e4e2a | [
"MIT"
] | 3 | 2020-02-11T23:14:53.000Z | 2021-06-10T18:32:57.000Z | datacombine/tests/test_models.py | Crimson-Star-Software/data-combine | 3209ae2316afc38417e51c3261494d6e7d2e4e2a | [
"MIT"
] | null | null | null | from django.test import TestCase
from datacombine import models as dcmodels
from collections import namedtuple
from django.core.exceptions import FieldError
import re
Match = namedtuple("Match", ["object", "regex", "match"])
class PhoneTestCase(TestCase):
def setUp(self):
dcmodels.Phone.objects.create(a... | 36.083333 | 74 | 0.628689 | 501 | 3,897 | 4.664671 | 0.255489 | 0.105691 | 0.08344 | 0.073171 | 0.560548 | 0.547711 | 0.500214 | 0.482242 | 0.482242 | 0.482242 | 0 | 0.079037 | 0.243521 | 3,897 | 107 | 75 | 36.420561 | 0.713704 | 0 | 0 | 0.303371 | 0 | 0 | 0.098794 | 0.015396 | 0 | 0 | 0 | 0 | 0.123596 | 1 | 0.157303 | false | 0 | 0.05618 | 0 | 0.235955 | 0.011236 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a9a2d818ad02b61cfd18575ed9cdd4ecccdb57 | 36,453 | py | Python | Capture the Flag/FirstRound.py | yokesh-git/Quiz-Application | 2b990ee9f711d05956e76ade0550bfa1abd86b08 | [
"MIT"
] | null | null | null | Capture the Flag/FirstRound.py | yokesh-git/Quiz-Application | 2b990ee9f711d05956e76ade0550bfa1abd86b08 | [
"MIT"
] | null | null | null | Capture the Flag/FirstRound.py | yokesh-git/Quiz-Application | 2b990ee9f711d05956e76ade0550bfa1abd86b08 | [
"MIT"
] | null | null | null | from tkinter import *
from firebase import firebase
from PIL import Image, ImageTk
fbconn = firebase.FirebaseApplication('https://samplefbtest-266bd.firebaseio.com/',None)
global crtans
crtans = 0
class FirstRound:
print("Done")
def __init__(self, master):
global w,h,ws,hs,x,y
... | 37.853583 | 206 | 0.555373 | 4,576 | 36,453 | 4.391827 | 0.097028 | 0.039409 | 0.075633 | 0.039807 | 0.627457 | 0.341942 | 0.215704 | 0.157038 | 0.147435 | 0.133254 | 0 | 0.086289 | 0.297726 | 36,453 | 962 | 207 | 37.892931 | 0.69875 | 0.016213 | 0 | 0.313187 | 0 | 0.006868 | 0.108442 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06044 | false | 0 | 0.004121 | 0 | 0.065934 | 0.04533 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41a9d57be733f7ec06133940f72c9adc60cb07fd | 2,491 | py | Python | swap.py | garrettkatz/ghu | 2bf25ac6f8e82d3e7231c3381f7a4946db6dc59f | [
"MIT"
] | null | null | null | swap.py | garrettkatz/ghu | 2bf25ac6f8e82d3e7231c3381f7a4946db6dc59f | [
"MIT"
] | null | null | null | swap.py | garrettkatz/ghu | 2bf25ac6f8e82d3e7231c3381f7a4946db6dc59f | [
"MIT"
] | null | null | null | """
Swap input (rinp) on output (rout) with one extra registers (rtmp)
"""
import numpy as np
import torch as tr
import matplotlib.pyplot as pt
from ghu import *
from codec import Codec
from controller import Controller
from lvd import lvd
from reinforce import reinforce
if __name__ == "__main__":
print("*********... | 30.753086 | 83 | 0.608591 | 316 | 2,491 | 4.664557 | 0.439873 | 0.033921 | 0.024423 | 0.028494 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02603 | 0.259735 | 2,491 | 80 | 84 | 31.1375 | 0.773319 | 0.140506 | 0 | 0 | 0 | 0 | 0.055111 | 0.025907 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0 | 0.135593 | 0 | 0.20339 | 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 |
41aa2d6b40a21820a8c6f0096cf82ccb5a78479c | 1,103 | py | Python | face-alignment.py | binhmuc/faced | cbc18f552da9c53628d61d56de7dfda451a6e25f | [
"MIT"
] | null | null | null | face-alignment.py | binhmuc/faced | cbc18f552da9c53628d61d56de7dfda451a6e25f | [
"MIT"
] | null | null | null | face-alignment.py | binhmuc/faced | cbc18f552da9c53628d61d56de7dfda451a6e25f | [
"MIT"
] | null | null | null | import face_alignment
from skimage import io
import cv2
from skimage import img_as_float
from skimage import io
import matplotlib.pyplot as plt
from faced import FaceDetector
from faced.utils import annotate_image
import time
fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, face_detector='... | 23.978261 | 94 | 0.664551 | 170 | 1,103 | 4.188235 | 0.464706 | 0.05618 | 0.071629 | 0.053371 | 0.070225 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057239 | 0.192203 | 1,103 | 45 | 95 | 24.511111 | 0.741863 | 0.030825 | 0 | 0.111111 | 0 | 0 | 0.019608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.25 | 0 | 0.305556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41ac00fd9043a9b17ba6e49efc0299f2d40364b0 | 847 | py | Python | tests/test_fingers/test_theme/test_models.py | sonirico/wpoke | be193a41159dabf912d793eb5a6ebf2f0e9440bb | [
"MIT"
] | 4 | 2019-08-19T12:32:40.000Z | 2019-10-25T20:57:29.000Z | tests/test_fingers/test_theme/test_models.py | sonirico/wpoke | be193a41159dabf912d793eb5a6ebf2f0e9440bb | [
"MIT"
] | 15 | 2019-07-15T18:30:43.000Z | 2020-09-25T08:10:05.000Z | tests/test_fingers/test_theme/test_models.py | sonirico/wpoke | be193a41159dabf912d793eb5a6ebf2f0e9440bb | [
"MIT"
] | null | null | null | import unittest
from wpoke.fingers.theme.models import WPThemeMetadata
from wpoke.fingers.theme.serializers import WPThemeMetadataSerializer
class TestWPThemeMetadata(unittest.TestCase):
def test_serialize_empty_values(self):
wp_metadata_model = WPThemeMetadata()
serializer = WPThemeMetadataSeria... | 35.291667 | 88 | 0.747344 | 85 | 847 | 7.188235 | 0.423529 | 0.081833 | 0.12275 | 0.06874 | 0.369885 | 0.258592 | 0.258592 | 0.258592 | 0.258592 | 0.258592 | 0 | 0 | 0.168831 | 847 | 23 | 89 | 36.826087 | 0.867898 | 0 | 0 | 0.375 | 0 | 0 | 0.085006 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 1 | 0.125 | false | 0 | 0.1875 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41ae040201f6c28a176e8746c32a9793421e405a | 2,989 | py | Python | src/Config.py | albertomn86/Weather-Station-Receiver | 53745e51e8227ab40ced665ec0083bfd62a951da | [
"Apache-2.0"
] | 1 | 2020-01-13T20:56:49.000Z | 2020-01-13T20:56:49.000Z | src/Config.py | albertomn86/Weather-Station-Receiver | 53745e51e8227ab40ced665ec0083bfd62a951da | [
"Apache-2.0"
] | null | null | null | src/Config.py | albertomn86/Weather-Station-Receiver | 53745e51e8227ab40ced665ec0083bfd62a951da | [
"Apache-2.0"
] | null | null | null | from yaml import safe_load, YAMLError
from os import path
from src.Device import Device
from typing import Any, Optional
class Config(object):
def __init__(self, file: str):
if not path.exists(file):
raise FileNotFoundError(f"Config file not found: {file}")
with open(file, 'r') as s... | 31.797872 | 76 | 0.636333 | 354 | 2,989 | 5.031073 | 0.214689 | 0.039304 | 0.020213 | 0.029197 | 0.113419 | 0.086468 | 0.051656 | 0.051656 | 0 | 0 | 0 | 0.000465 | 0.280027 | 2,989 | 93 | 77 | 32.139785 | 0.827138 | 0 | 0 | 0.042254 | 0 | 0 | 0.060555 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140845 | false | 0.014085 | 0.056338 | 0.084507 | 0.352113 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41af722e2abcb956634da9556cf5120ca6d46ddf | 6,316 | py | Python | cwVQ.py | USC-MCL/Func-Pool | 20c43df0eb2da68d8d2e01c03d66a1a4e4e06081 | [
"MIT"
] | 3 | 2020-01-24T19:03:44.000Z | 2021-04-13T17:22:36.000Z | cwVQ.py | USC-MCL/Func-Pool | 20c43df0eb2da68d8d2e01c03d66a1a4e4e06081 | [
"MIT"
] | null | null | null | cwVQ.py | USC-MCL/Func-Pool | 20c43df0eb2da68d8d2e01c03d66a1a4e4e06081 | [
"MIT"
] | 3 | 2020-01-24T19:03:45.000Z | 2020-04-13T08:27:13.000Z | # 2020.10.19
# @yifan
# channel-wise VQ
# input is asumed to be DCT/PCA coefficients
#
import numpy as np
from sklearn import cluster
import copy
from skimage.metrics import mean_squared_error
from sklearn.metrics.pairwise import euclidean_distances
from myPCA import myPCA
from util import *
def check_mse(X, km, PSNR_... | 33.417989 | 131 | 0.528816 | 957 | 6,316 | 3.375131 | 0.174504 | 0.029721 | 0.03065 | 0.018576 | 0.501858 | 0.466873 | 0.460681 | 0.419505 | 0.381115 | 0.345511 | 0 | 0.036128 | 0.316339 | 6,316 | 188 | 132 | 33.595745 | 0.711904 | 0.028024 | 0 | 0.439759 | 0 | 0 | 0.088922 | 0.009626 | 0 | 0 | 0 | 0 | 0.012048 | 1 | 0.126506 | false | 0 | 0.060241 | 0.012048 | 0.295181 | 0.060241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41b1d06924eae19655ba9eb1faf5d08b5dbcc871 | 2,384 | py | Python | polsalt/scrunch1d.py | Richard-Tarbell/polsalt | e953985ffbc786fd071d0b48ebca5bd1dac9a960 | [
"BSD-3-Clause"
] | 1 | 2017-09-22T17:04:06.000Z | 2017-09-22T17:04:06.000Z | polsalt/scrunch1d.py | Richard-Tarbell/polsalt | e953985ffbc786fd071d0b48ebca5bd1dac9a960 | [
"BSD-3-Clause"
] | 14 | 2015-12-22T17:56:38.000Z | 2021-07-30T15:36:23.000Z | polsalt/scrunch1d.py | Richard-Tarbell/polsalt | e953985ffbc786fd071d0b48ebca5bd1dac9a960 | [
"BSD-3-Clause"
] | 12 | 2015-12-21T15:12:44.000Z | 2021-08-12T18:58:12.000Z | #! /usr/bin/env python
# Resample data into new bins, preserving flux
# New version 150912, much faster
# New version 170504, fixed case where output bin coverage is larger than input bin coverage
# New version 170909, again fixed case where output bin coverage is larger than input bin coverage
import os, sys, time, ... | 40.40678 | 98 | 0.622903 | 411 | 2,384 | 3.472019 | 0.294404 | 0.019622 | 0.044149 | 0.029432 | 0.167484 | 0.148563 | 0.110722 | 0.082691 | 0.082691 | 0.082691 | 0 | 0.046088 | 0.217282 | 2,384 | 58 | 99 | 41.103448 | 0.71865 | 0.362836 | 0 | 0 | 0 | 0 | 0.018629 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.058824 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41b47d2a2fab71fffa7fa7dc8edb5358a58ea4bf | 1,686 | py | Python | neutron_fwaas/tests/unit/cmd/upgrade_checks/test_checks.py | sapcc/neutron-fwaas | 59bad17387d15f86ea7d08f8675208160a999ffe | [
"Apache-2.0"
] | null | null | null | neutron_fwaas/tests/unit/cmd/upgrade_checks/test_checks.py | sapcc/neutron-fwaas | 59bad17387d15f86ea7d08f8675208160a999ffe | [
"Apache-2.0"
] | null | null | null | neutron_fwaas/tests/unit/cmd/upgrade_checks/test_checks.py | sapcc/neutron-fwaas | 59bad17387d15f86ea7d08f8675208160a999ffe | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Red Hat Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 35.87234 | 75 | 0.707592 | 228 | 1,686 | 5.078947 | 0.47807 | 0.051813 | 0.041451 | 0.027634 | 0.195164 | 0.162349 | 0.107081 | 0.107081 | 0.107081 | 0.107081 | 0 | 0.011128 | 0.200475 | 1,686 | 46 | 76 | 36.652174 | 0.847923 | 0.326216 | 0 | 0.08 | 0 | 0 | 0.099822 | 0.052585 | 0 | 0 | 0 | 0 | 0.12 | 1 | 0.16 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41b838c1916c793c834d6840367d6af260c3208a | 4,822 | py | Python | licensegh/licensegh.py | sauljabin/licensegh | 01dad5a8934869423feb9bc59854631ab1cb6e08 | [
"MIT"
] | null | null | null | licensegh/licensegh.py | sauljabin/licensegh | 01dad5a8934869423feb9bc59854631ab1cb6e08 | [
"MIT"
] | null | null | null | licensegh/licensegh.py | sauljabin/licensegh | 01dad5a8934869423feb9bc59854631ab1cb6e08 | [
"MIT"
] | null | null | null | import os
import re
import shutil
import git
import yaml
from rich import box
from rich.console import Console
from rich.prompt import Prompt
from rich.table import Table
class Licensegh:
def __init__(self):
self.repository = TemplatesRepository()
self.licenses = []
def init(self):
s... | 29.950311 | 85 | 0.562837 | 549 | 4,822 | 4.812386 | 0.218579 | 0.037472 | 0.020818 | 0.039364 | 0.236563 | 0.202498 | 0.202498 | 0.202498 | 0.173732 | 0.173732 | 0 | 0.002708 | 0.310659 | 4,822 | 160 | 86 | 30.1375 | 0.792118 | 0 | 0 | 0.193798 | 0 | 0 | 0.094981 | 0.021775 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131783 | false | 0 | 0.069767 | 0.007752 | 0.232558 | 0.124031 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41bb07f1d7bec345e20d3accf21f60a21b94cceb | 192 | py | Python | ABC104/ABC104a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | ABC104/ABC104a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | ABC104/ABC104a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | # ABC104a
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
r = int(input())
if r < 1200:
print('ABC')
exit(0)
if r < 2800:
print('ARC')
exit(0)
print('AGC')
| 13.714286 | 28 | 0.609375 | 30 | 192 | 3.9 | 0.666667 | 0.051282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.10596 | 0.213542 | 192 | 13 | 29 | 14.769231 | 0.668874 | 0.036458 | 0 | 0.181818 | 0 | 0 | 0.04918 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0.272727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41be27ee6f0699ebf633e908194ed90a7940707d | 13,708 | py | Python | low_level_simulation/src/path_utilities/src/simulation_util.py | abiantorres/autonomous-vehicles-system-simulation | 3f0112036b2b270f5055729c648a1310976df933 | [
"Apache-2.0"
] | null | null | null | low_level_simulation/src/path_utilities/src/simulation_util.py | abiantorres/autonomous-vehicles-system-simulation | 3f0112036b2b270f5055729c648a1310976df933 | [
"Apache-2.0"
] | null | null | null | low_level_simulation/src/path_utilities/src/simulation_util.py | abiantorres/autonomous-vehicles-system-simulation | 3f0112036b2b270f5055729c648a1310976df933 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import rosbag, rospy, actionlib, time, sys, csv, rospkg, re, os
from gazebo_msgs.msg import ModelState
from std_msgs.msg import Empty
from std_srvs.srv import Empty
from gazebo_msgs.srv import SetModelState
from geometry_msgs.msg import PoseArray
from move_base_msgs.msg import MoveBaseAction, Mov... | 55.723577 | 170 | 0.619273 | 1,537 | 13,708 | 5.251139 | 0.1581 | 0.05687 | 0.048445 | 0.041878 | 0.424731 | 0.322637 | 0.270103 | 0.220047 | 0.187337 | 0.147937 | 0 | 0.005444 | 0.276408 | 13,708 | 245 | 171 | 55.95102 | 0.808247 | 0.070032 | 0 | 0.223881 | 0 | 0 | 0.126747 | 0.015636 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034826 | false | 0 | 0.069652 | 0 | 0.114428 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41c495323f09d70b9547788b90e0defddbe36bbc | 2,371 | py | Python | plugins/intern/markov.py | rbracken/internbot | 58b802e0dd7597ace12acd9342bb938e2f33c25d | [
"BSD-2-Clause"
] | 1 | 2016-09-24T16:00:06.000Z | 2016-09-24T16:00:06.000Z | plugins/intern/markov.py | rbracken/internbot | 58b802e0dd7597ace12acd9342bb938e2f33c25d | [
"BSD-2-Clause"
] | null | null | null | plugins/intern/markov.py | rbracken/internbot | 58b802e0dd7597ace12acd9342bb938e2f33c25d | [
"BSD-2-Clause"
] | null | null | null | import random
""" Credits for this code go to Shabda Raaj, pulled from the article
'Generating pseudo-random text with Markov chains using Python',
which can be found at:
http://agiliq.com/blog/2009/06/generating-pseudo-random-text-with-markov-chains-u/ """
class Markov(object):
def __init__(self, op... | 32.040541 | 90 | 0.557992 | 325 | 2,371 | 3.944615 | 0.298462 | 0.077223 | 0.065523 | 0.049922 | 0.359594 | 0.359594 | 0.359594 | 0.294072 | 0.265991 | 0.265991 | 0 | 0.033022 | 0.32307 | 2,371 | 73 | 91 | 32.479452 | 0.765732 | 0.061999 | 0 | 0.365385 | 0 | 0 | 0.001042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.019231 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41c53301d55d3133fde81eb12b2a9be32599efe5 | 3,590 | py | Python | isee/infrastructure/mdengine.py | team-mayes/isEE | c22d7cc78a43f0c0a7b2ec18fbc3b628ddef8d54 | [
"BSD-3-Clause"
] | null | null | null | isee/infrastructure/mdengine.py | team-mayes/isEE | c22d7cc78a43f0c0a7b2ec18fbc3b628ddef8d54 | [
"BSD-3-Clause"
] | 1 | 2021-09-17T18:20:36.000Z | 2021-10-06T16:56:34.000Z | isee/infrastructure/mdengine.py | team-mayes/isEE | c22d7cc78a43f0c0a7b2ec18fbc3b628ddef8d54 | [
"BSD-3-Clause"
] | null | null | null | """
Interface for MDEngine objects. New MDEngines can be implemented by constructing a new class that inherits from MDEngine
and implements its abstract methods.
"""
import abc
import os
import pytraj
import mdtraj
class MDEngine(abc.ABC):
"""
Abstract base class for molecular dynamics engines.
Implement... | 39.888889 | 145 | 0.618106 | 443 | 3,590 | 4.918736 | 0.34763 | 0.041303 | 0.057825 | 0.022028 | 0.267095 | 0.251492 | 0.251492 | 0.216613 | 0.216613 | 0.216613 | 0 | 0.009204 | 0.3039 | 3,590 | 89 | 146 | 40.337079 | 0.862745 | 0.372145 | 0 | 0.304348 | 0 | 0 | 0.118015 | 0 | 0 | 0 | 0 | 0 | 0.021739 | 1 | 0.043478 | false | 0.021739 | 0.086957 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41c87d04befa3b08aff049a14265e8461d8d9c45 | 2,181 | py | Python | rubikscubennnsolver/combinatorial.py | dwalton76/rubiks-cube-NxNxN-solver | db42aeacca81366dba87ef475274ffb99645193d | [
"MIT"
] | 59 | 2017-04-29T15:19:29.000Z | 2022-03-18T22:17:20.000Z | rubikscubennnsolver/combinatorial.py | dwalton76/rubiks-cube-NxNxN-solver | db42aeacca81366dba87ef475274ffb99645193d | [
"MIT"
] | 44 | 2017-05-25T00:05:31.000Z | 2022-03-23T22:39:34.000Z | rubikscubennnsolver/combinatorial.py | dwalton76/rubiks-cube-NxNxN-solver | db42aeacca81366dba87ef475274ffb99645193d | [
"MIT"
] | 19 | 2017-06-17T00:32:47.000Z | 2021-12-18T00:03:56.000Z | """
https://en.wikipedia.org/wiki/Combinatorial_number_system
The code below is no longer used but am saving it for a rainy day
"""
# standard libraries
import math
from typing import List
def choose(a: int, b: int) -> int:
"""
>>> choose(23, 8)
490314
>>> choose(9, 6)
84
>>> choose(8, 5)
... | 15.919708 | 79 | 0.497478 | 307 | 2,181 | 3.403909 | 0.289902 | 0.073684 | 0.063158 | 0.015311 | 0.076555 | 0.03445 | 0.03445 | 0.03445 | 0 | 0 | 0 | 0.069156 | 0.337001 | 2,181 | 136 | 80 | 16.036765 | 0.653527 | 0.339752 | 0 | 0.204545 | 0 | 0 | 0.007353 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.068182 | 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 |
41c9205a05089b2cfa8d6a14c30a8d7f603ca089 | 835 | py | Python | assignments/a3/constructBinaryTreeFromPreorderAndInorderTraversal.py | jcdiv47/geekbang-algorithms | 38dae85aeadb684b2c44945bd07a32cdede4ad5a | [
"MIT"
] | null | null | null | assignments/a3/constructBinaryTreeFromPreorderAndInorderTraversal.py | jcdiv47/geekbang-algorithms | 38dae85aeadb684b2c44945bd07a32cdede4ad5a | [
"MIT"
] | null | null | null | assignments/a3/constructBinaryTreeFromPreorderAndInorderTraversal.py | jcdiv47/geekbang-algorithms | 38dae85aeadb684b2c44945bd07a32cdede4ad5a | [
"MIT"
] | null | null | null | """
Leetcode(https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal/
)"""
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def bui... | 29.821429 | 97 | 0.603593 | 108 | 835 | 4.555556 | 0.388889 | 0.113821 | 0.065041 | 0.073171 | 0.089431 | 0.089431 | 0 | 0 | 0 | 0 | 0 | 0.01495 | 0.279042 | 835 | 27 | 98 | 30.925926 | 0.802326 | 0.208383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41cb04f14dbe73f40c68a5e989b2ab363ee6874c | 3,415 | py | Python | tiddlywebplugins/tiddlyspace/template.py | TiddlySpace/tiddlyspace | 5f2139340d2d9e3a37068b5c58ecb2e599d798b8 | [
"BSD-3-Clause"
] | 32 | 2015-01-04T10:54:29.000Z | 2022-01-22T16:45:24.000Z | tiddlywebplugins/tiddlyspace/template.py | TiddlySpace/tiddlyspace | 5f2139340d2d9e3a37068b5c58ecb2e599d798b8 | [
"BSD-3-Clause"
] | 4 | 2016-12-08T14:04:26.000Z | 2018-02-20T10:23:33.000Z | tiddlywebplugins/tiddlyspace/template.py | TiddlySpace/tiddlyspace | 5f2139340d2d9e3a37068b5c58ecb2e599d798b8 | [
"BSD-3-Clause"
] | 14 | 2015-01-19T23:18:20.000Z | 2021-06-22T01:10:08.000Z | """
Send a template with some default data.
"""
from jinja2 import TemplateNotFound
from tiddlywebplugins.virtualhosting import original_server_host_url
from tiddlyweb import control
from tiddlyweb.model.tiddler import Tiddler
from tiddlyweb.model.recipe import Recipe
from tiddlyweb.store import StoreError
from tidd... | 38.370787 | 78 | 0.585652 | 324 | 3,415 | 5.935185 | 0.271605 | 0.054602 | 0.056162 | 0.042122 | 0.075923 | 0.075923 | 0 | 0 | 0 | 0 | 0 | 0.000886 | 0.339092 | 3,415 | 88 | 79 | 38.806818 | 0.85113 | 0.037775 | 0 | 0.185714 | 0 | 0 | 0.086424 | 0.032485 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014286 | false | 0.028571 | 0.128571 | 0 | 0.157143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41cb1605a676dad204255fde9474a9b324ee8353 | 588 | py | Python | test.py | yanzhenxing123/illegal_fund_raising_forecast | dcff8f3d73c1f1ea3548e8d25afc9fe5233e3f64 | [
"Apache-2.0"
] | null | null | null | test.py | yanzhenxing123/illegal_fund_raising_forecast | dcff8f3d73c1f1ea3548e8d25afc9fe5233e3f64 | [
"Apache-2.0"
] | null | null | null | test.py | yanzhenxing123/illegal_fund_raising_forecast | dcff8f3d73c1f1ea3548e8d25afc9fe5233e3f64 | [
"Apache-2.0"
] | null | null | null | """
@Author: yanzx
@Date: 2021-08-10 09:27:55
@Desc:
"""
import time
li = [str(i) + "闫振兴" for i in range(1000000)]
li_s = set(li)
start_time1 = time.time()
if "100000闫振兴" in li:
print(time.time() - start_time1)
start_time2 = time.time()
if "100000闫振兴" in li_s:
print(time.time() - start_time2)
import ... | 14 | 59 | 0.664966 | 99 | 588 | 3.828283 | 0.525253 | 0.084433 | 0.05277 | 0.100264 | 0.121372 | 0.121372 | 0 | 0 | 0 | 0 | 0 | 0.081466 | 0.164966 | 588 | 41 | 60 | 14.341463 | 0.690428 | 0.134354 | 0 | 0 | 0 | 0 | 0.080483 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 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 |
68b72c53435e9aa9b4922a013905036e51730503 | 7,953 | py | Python | mispro/mispro.py | dzubke/speech-lite | 65f83ac2b7551650820f079ce5152741f2a6fdb8 | [
"Apache-2.0"
] | null | null | null | mispro/mispro.py | dzubke/speech-lite | 65f83ac2b7551650820f079ce5152741f2a6fdb8 | [
"Apache-2.0"
] | null | null | null | mispro/mispro.py | dzubke/speech-lite | 65f83ac2b7551650820f079ce5152741f2a6fdb8 | [
"Apache-2.0"
] | null | null | null | # these functions help to detect mispronunciations using editops
#
#
# standard libs
import argparse
# third-party libs
import Levenshtein as lev
# local libs
from speech.utils.data_helpers import path_to_id
from speech.utils.io import read_data_json
def main(hypo_path:str, tgt_path:str, eval_phn_path:str):
"""T... | 36.481651 | 108 | 0.592355 | 1,145 | 7,953 | 3.868996 | 0.215721 | 0.034763 | 0.036117 | 0.047404 | 0.365463 | 0.307223 | 0.24763 | 0.228217 | 0.196388 | 0.145824 | 0 | 0.021439 | 0.307934 | 7,953 | 217 | 109 | 36.64977 | 0.78343 | 0.222306 | 0 | 0.276119 | 0 | 0 | 0.129801 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052239 | false | 0 | 0.029851 | 0 | 0.11194 | 0.156716 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68b8f74ca63a7bf7763bdfc88965696eef401268 | 1,980 | py | Python | pipelines/utils/conv_to_json.py | cds-mipt/HPointLoc | b346c10928939ddc1fe5840aef5085418e3aa0ad | [
"MIT"
] | 2 | 2021-05-30T04:04:51.000Z | 2022-02-21T09:11:27.000Z | pipelines/utils/conv_to_json.py | cds-mipt/HPointLoc | b346c10928939ddc1fe5840aef5085418e3aa0ad | [
"MIT"
] | null | null | null | pipelines/utils/conv_to_json.py | cds-mipt/HPointLoc | b346c10928939ddc1fe5840aef5085418e3aa0ad | [
"MIT"
] | null | null | null | from tqdm import tqdm
import h5py
from os.path import join
import os
import numpy as np
from pathlib import Path
import json
import numpy as np
MAXDEPTH = 10
def conv_to_json(dataset_root, path_to_npz_folder, output_dir):
root_datasets = Path(dataset_root).parent
dataset_path = join(root_datasets, 'HPointLoc... | 36.666667 | 84 | 0.609596 | 306 | 1,980 | 3.607843 | 0.25817 | 0.038043 | 0.043478 | 0.047101 | 0.067029 | 0.027174 | 0 | 0 | 0 | 0 | 0 | 0.015509 | 0.25101 | 1,980 | 53 | 85 | 37.358491 | 0.728928 | 0 | 0 | 0.047619 | 0 | 0 | 0.060606 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.190476 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68b9f1d61e16d200b4bd96fbc017a9c896eef126 | 1,020 | py | Python | tests/test_settings.py | nerdoc/django-unicorn | e512b8f64f5c276a78127db9a05d9d5c042232d5 | [
"MIT"
] | 1 | 2021-12-21T16:20:49.000Z | 2021-12-21T16:20:49.000Z | tests/test_settings.py | teury/django-unicorn | 5e9142b8a7e13b862ece419d567e805cc783b517 | [
"MIT"
] | null | null | null | tests/test_settings.py | teury/django-unicorn | 5e9142b8a7e13b862ece419d567e805cc783b517 | [
"MIT"
] | 1 | 2022-02-10T07:47:01.000Z | 2022-02-10T07:47:01.000Z | from django_unicorn.settings import get_cache_alias, get_serial_enabled, get_settings
def test_settings_cache_alias(settings):
settings.UNICORN["CACHE_ALIAS"] = "unicorn_cache"
expected = "unicorn_cache"
actual = get_cache_alias()
assert expected == actual
def test_settings_legacy(settings):
se... | 29.142857 | 85 | 0.721569 | 120 | 1,020 | 5.833333 | 0.208333 | 0.171429 | 0.114286 | 0.102857 | 0.544286 | 0.418571 | 0.271429 | 0.271429 | 0.271429 | 0.271429 | 0 | 0 | 0.163725 | 1,020 | 34 | 86 | 30 | 0.820633 | 0 | 0 | 0.5 | 0 | 0 | 0.208824 | 0.042157 | 0 | 0 | 0 | 0 | 0.208333 | 1 | 0.125 | false | 0 | 0.041667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68bd12edd81d237215484f0a679fa547355b6ddd | 5,132 | py | Python | tests/test_algolia_doc_manager.py | algolia/mongo-connector | d668e9fb556abe63916ba0594e035d2f34880b1c | [
"Apache-2.0"
] | 15 | 2015-01-06T08:10:21.000Z | 2017-03-12T23:06:43.000Z | tests/test_algolia_doc_manager.py | algolia/mongo-connector | d668e9fb556abe63916ba0594e035d2f34880b1c | [
"Apache-2.0"
] | 16 | 2015-03-11T09:28:33.000Z | 2016-03-06T14:45:54.000Z | tests/test_algolia_doc_manager.py | algolia/mongo-connector | d668e9fb556abe63916ba0594e035d2f34880b1c | [
"Apache-2.0"
] | 13 | 2015-03-21T13:39:10.000Z | 2022-03-14T11:50:24.000Z | # Copyright 2013-2014 MongoDB, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 38.298507 | 90 | 0.616329 | 690 | 5,132 | 4.424638 | 0.237681 | 0.129708 | 0.119227 | 0.078611 | 0.542745 | 0.52342 | 0.483459 | 0.476253 | 0.432034 | 0.432034 | 0 | 0.018663 | 0.227397 | 5,132 | 133 | 91 | 38.586466 | 0.751324 | 0.171083 | 0 | 0.454545 | 0 | 0 | 0.077879 | 0 | 0 | 0 | 0 | 0 | 0.170455 | 1 | 0.056818 | false | 0 | 0.090909 | 0 | 0.159091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |