blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 283 | content_id stringlengths 40 40 | detected_licenses listlengths 0 91 | license_type stringclasses 2
values | repo_name stringlengths 3 135 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 68 | visit_date timestamp[ns]date 2015-07-25 20:53:29 2023-09-06 10:46:05 | revision_date timestamp[ns]date 1970-01-01 00:00:00 2037-05-03 13:00:00 | committer_date timestamp[ns]date 1970-01-01 00:00:00 2036-02-09 17:40:36 | github_id int64 1.61k 691M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 24
values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
values | src_encoding stringclasses 27
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5e705672f992230046db92548a395cfc6a86c150 | 8729411e31160fa21d1b6b3dbfc4f4af40d3cf22 | /tensorflow_fold/blocks/layers.py | b0048404e0a1f034501c109c31a744f6f4bcb5dc | [
"Apache-2.0"
] | permissive | hfchong/fold | 4c3b39e350ea478b6e37b56ca3ccb3120d25f269 | fa051447a575d0beb67a38f22854887791daea06 | refs/heads/master | 2021-04-27T16:05:51.299189 | 2018-11-19T10:34:20 | 2018-11-19T10:34:20 | 122,481,598 | 0 | 0 | Apache-2.0 | 2018-02-22T13:23:14 | 2018-02-22T13:23:13 | null | UTF-8 | Python | false | false | 26,210 | py | layers.py | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
a4cb4cec3ac08f5040a377173d74616c1f2b836a | 8a975d950fcdafe0cd5851b2a7205b68b333a953 | /erp/provider/generic_geoloc.py | ac6783f486d5d4713bdd7fced6eeba4b105e44e7 | [
"MIT"
] | permissive | MTES-MCT/acceslibre | de5e15c66909f423ca3c58f867b9c6ad97f6edb5 | dc635ba4aecba7f5b55c3ce63ad489f5ebbf6d3c | refs/heads/master | 2023-08-16T14:02:24.809087 | 2023-08-16T13:11:48 | 2023-08-16T13:12:06 | 235,756,576 | 14 | 6 | MIT | 2023-09-14T14:33:29 | 2020-01-23T08:51:54 | Python | UTF-8 | Python | false | false | 2,647 | py | generic_geoloc.py | import logging
import requests
from django.contrib.gis.geos import Point
logger = logging.getLogger(__name__)
class GeolocRequester:
provider: dict = None
urls = {
"ban": "https://api-adresse.data.gouv.fr/search/",
"geoportail": "https://wxs.ign.fr/essentiels/geoportail/geocodage/rest/0.1/s... |
1dd3e456f520cbf511b75843deae67d681213de8 | e61bf96aefbe560ed936418635253ad8a2fb7767 | /test/test_api.py | 34e29257e463a3e4284fc04565c7be5666fe0cd2 | [] | no_license | jnitin/flask-catalog | 3fc57a2ed9a207ca746a8072a5aa43963ec2f75e | 365543d2e121bc78ecbf6452e9e77dc75b059f03 | refs/heads/master | 2020-08-06T05:33:45.630942 | 2018-04-24T01:22:08 | 2018-04-24T01:22:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,785 | py | test_api.py | """Unit tests for api"""
import unittest
import json
from base64 import b64encode
from test.utils import pprint_response
from test.setup_and_teardown import my_setup, my_teardown
from flask import current_app
from flask_uploads import FileStorage
from application.user import User, Role
from application.extensions impor... |
324c1146148a5a53e1b7ad95b57468ad348be5a9 | d214b72b3ae340d288c683afe356de6846a9b09d | /树/二叉树中第二小的节点_671.py | e3cb8e701600d45640139ab5b166326c59d7720b | [] | no_license | Xiaoctw/LeetCode1_python | 540af6402e82b3221dad8648bbdcce44954a9832 | b2228230c90d7c91b0a40399fa631520c290b61d | refs/heads/master | 2021-08-29T15:02:37.786181 | 2021-08-22T11:12:07 | 2021-08-22T11:12:07 | 168,444,276 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 767 | py | 二叉树中第二小的节点_671.py | # 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 __init__(self):
self.min_val=None
self.ans=-1
def findSecondMinimumValue(self, root: TreeNod... |
c7a8cd32bbed969409903daa68f7a4c55ea76ddc | 41c3213070e55076a32233c6ce443f2efb921966 | /cl_project/cl_app/urls.py | 3a398bea916e8e06290062aac2fa177e3cf52168 | [] | no_license | ryan-semmler/craigslist_clone | b54a7a7441b4a7139b7324c0acf848d6d2c5af8b | 220890d937ac21d241545494b4e0a3b5a32f3a65 | refs/heads/master | 2021-01-23T02:24:20.669995 | 2017-03-26T05:13:09 | 2017-03-26T05:13:09 | 85,986,071 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 471 | py | urls.py | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.home, name='home'),
url(r'^new_listing$', views.new_listing, name='new_listing'),
url(r'^city$', views.city, name='city'),
url(r'^categories$', views.categories, name='categories'),
url(r'^listing_(?P<listing_id>... |
d4846b83a5e32f9551f6535f92ed93620ab9a20e | ecb7c0c6be56d2c538e303698ca48805ede2ce9b | /book.py | 84b2184edfa0d6993d5fd4ad33fb959f1e17dfa0 | [] | no_license | won-hyw/RElib | b6bc37e355f7ee05911ffd0b33c8a509d23fa1e3 | c7ac1cb911067e93cf0bfb0246e94b8331d2e41f | refs/heads/master | 2023-05-29T15:08:44.701029 | 2021-06-18T17:36:42 | 2021-06-18T17:36:42 | 375,997,038 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,765 | py | book.py | # book.py
# 책을 등록하는 역할
# title, author, publish(출판사), description, price, quantity(수량)
class Book:
def __init__(self):
self.title = ''
self.author = ''
self.publish = ''
self.description = ''
self.price = 0
self.quantity = 1
def set_title(self):
title = i... |
7f32bbf2b1c5a0bb82e85f07684674171decb872 | deca81aed4c2206dca81414c7256eb24a66cdb5f | /bin/minipowerpc-cli.py | ee86b853757623d48a43e777664c8bb528d1249d | [] | no_license | elfixit/mini-power-pc | 788886df76e44ea740b46cea6296c05b019c8dab | f8a649d3b341e1ad795a8ed4f6609fa8d46cedf7 | refs/heads/master | 2021-01-23T03:33:40.546298 | 2012-11-05T13:45:05 | 2012-11-05T13:45:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | py | minipowerpc-cli.py | #!/usr/bin/env python
import sys, os.path
try:
from minipowerpc.cli import Cli
except:
sys.path.append(os.path.abspath('../.'))
from minipowerpc.cli import Cli
if __name__ == '__main__':
cli = Cli(sys.argv[1:])
cli.run()
|
5ccc34066efb2cd144530dca524c715510e07807 | 2de084075fc8035c7116d3fc3451d762d62424de | /flaskblog/users/utils.py | 14830f67f3361c2825d1baeb44cfaac6ea8ac0d2 | [] | no_license | PassionateLooker/Blog-created-using-Flask | 1d6caa38da172cb0322de709f75892b2e1540b5b | de2b3507c1d5353b0e1e9422b2ee153900fb37fb | refs/heads/master | 2022-11-14T13:26:03.423057 | 2020-07-09T07:46:31 | 2020-07-09T07:46:31 | 278,297,209 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 935 | py | utils.py | import os
import secrets
from PIL import Image
from flask import url_for
from flask_mail import Message
from flaskblog import mail
from flask import current_app
def save_picture(form_picture):
random_hex=secrets.token_hex(8)
_,f_ext=os.path.splitext(form_picture.filename)
picture_fn=random_hex+f_ext
pi... |
9efb1381d080d478565d4ab30ba01e694e10d33c | 153fbcf2132b9055589700bdf85e0c2e4fa3f1d1 | /FILTER/models.py | ef0bda0e885bb00be2d292f317e16f71fdb94b51 | [] | no_license | nikeshvarma/SmartPhoneWorld | 496232f19849b380fc4b1872e67043f848c72a7f | 1d5b41d048d65b2a14b4c78f6a4d6ae7880d1c37 | refs/heads/master | 2023-01-14T04:35:44.716662 | 2020-11-23T14:53:09 | 2020-11-23T14:53:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,159 | py | models.py | from django.db import models
class Brands(models.Model):
brands = models.CharField(max_length=100)
name = models.CharField(max_length=100, default='brand')
cls = models.CharField(max_length=100, default='n')
value = models.CharField(max_length=100, blank=True)
def __str__(self):
return se... |
8d10e2545ead50f103bc8400d875cb8e037997cf | 7ab2f9e117aae17306fda8f354838b9231d59d10 | /backend/model/clubSearch.py | 885e639bc386db563001937a51a203b051069d87 | [] | no_license | Lleeshen/ClubGrove | 27e22f3186c6b293a64f7a547b96cc23a5a3c04c | 5e0744d15aad042ba987f0b36fef5091bbcbb41f | refs/heads/master | 2023-01-23T17:46:10.192629 | 2020-06-11T20:27:09 | 2020-06-11T20:27:09 | 235,176,945 | 0 | 0 | null | 2023-01-05T05:22:36 | 2020-01-20T19:05:20 | Vue | UTF-8 | Python | false | false | 2,765 | py | clubSearch.py | import psycopg2
import psycopg2.extras
import configparser
import os
from . import startdb as startdb
import logging
LOG = logging.getLogger(__name__)
def clubSearch(searchTerm,keyword,sort):
con = startdb.startdb()
LOG.debug(sort)
SQLstatement = "SELECT name, description, website, email FROM club WHERE name ILI... |
a66a749ac80bcde8d057023aa23e302cb4d028f2 | da6f0a2fa3143f952225d7ff4b16d79d2cb0f1c8 | /app selenium/duoduo.py | b7aa89a97d9c790a4241f1be968c452c9ba2056e | [] | no_license | gaoyang836/python_text | 73259a2690f6be3e7ac61d1c627c434f80d32508 | f701564c9c30a28041c5c075d14cb53edefe5601 | refs/heads/master | 2021-07-02T23:34:49.072789 | 2020-09-10T02:59:42 | 2020-09-10T02:59:42 | 163,351,140 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,650 | py | duoduo.py | # -*-coding:utf-8 -*-
# author:gaoyang time:2020-04-15
#导包
from appium import webdriver
#准备自动化配置信息
desired_caps={
#移动设备平台
'platformName':'Android',
#平台OS版本号
'plathformVersion':'7',
#设备的名称--值可以随便写
'deviceName':'test0106',
#提供被测app的信息-包名,入口信息
'appPackage':'com.duoduocalca.calculator',
... |
b2a38ebd4d2ba28d2af01ca753b214722785a532 | 73a81a822dc8fd3edfc3a4cf2b383ea4d10b828c | /tests/protocols/test_websocket.py | 17f2a92d1972596ce57ae558a6c8e69b60201f1c | [
"BSD-3-Clause"
] | permissive | encode/uvicorn | 8731dc29de6aac471f6fe287992a62077dfdc747 | fc2130bf1a740acaa502530079bfbd595fa7a94c | refs/heads/master | 2023-08-31T04:56:03.181678 | 2023-08-25T18:52:05 | 2023-08-25T18:52:05 | 92,946,971 | 6,936 | 769 | BSD-3-Clause | 2023-09-14T11:13:29 | 2017-05-31T13:13:43 | Python | UTF-8 | Python | false | false | 38,062 | py | test_websocket.py | import asyncio
import typing
from copy import deepcopy
import httpx
import pytest
import websockets
import websockets.client
import websockets.exceptions
from websockets.extensions.permessage_deflate import ClientPerMessageDeflateFactory
from websockets.typing import Subprotocol
from tests.protocols.test_http import ... |
0902b0a6756a262379d14401a0e2780998735bb7 | a002a962415cfb8eb8690be7a79e23be72ceb7e2 | /BT_struct.py | 77d93847dd605e9885a629e4d0a5300114337e2b | [] | no_license | nufangqiangwei/bittorrent_tool | 01f8c732473f7a50df5f3e58ee7f3655687d0ca3 | a54c4de0ebc1c0100a6ef4a2cc622427b57ffbb6 | refs/heads/master | 2021-09-03T15:46:30.369875 | 2021-08-18T06:54:57 | 2021-08-18T06:54:57 | 222,633,049 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,403 | py | BT_struct.py | """
node的id是20位的一个对象,将这20位的对象转换成160位的二进制数据
然后对这160位的二进制数据进行异或运算,就是同位上的数字相同就为0,不同就为1
然后对这个运算的结果计算第一位是1的位数,这个位数减1就是这个node应该在的K桶
因为所有的距离计算都是以自己的node_id做为起点,所以位数越高的K桶就是离自己越远的
每个K桶只储存八个node,当向这个K桶添加node的时候如果没有满就在末尾添加
满了的话就看有没有失效的node,没有失效的就将这个node抛弃
"""
class Node:
def __init__(self, nodeid, ip, port, now_time):
self.n... |
31b463b4e2c643f4ed342ddf53a2212668e9d99b | be0dc98761ccd534b77f9cd030b2b92886f8cd19 | /predavanje7/skupovi.py | 940f3be3bfc575ae4c1db013663ba89c5c275c1a | [
"MIT"
] | permissive | vmilkovic/uvod_u_programiranje | 7e0c662b1dffc8097edb5bb5a4a532f2c3a9fab0 | 209611e38c8fe84c727649df4b868a4278eb77c3 | refs/heads/master | 2022-04-07T00:33:17.059137 | 2020-02-16T19:28:41 | 2020-02-16T19:28:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 108 | py | skupovi.py | mojset = {1,2,2,3,4,5,5}
print(mojset)
#mojset = {} # ne valja jer gleda kao da je rječnik
mojset = set() |
ea31ad4d8741f7d588ca36728e265d855136bf6e | 7bbbbfd13b43bfaee1a92e85eb77e0fa3ad80ec1 | /FactorRotation.py | 75dddae45c36249670c20388602f56ca0ae56687 | [] | no_license | masamichiIto/codes | 98509bad9bd1bc4a5fa9c9f745ade102cb51b754 | 0f706a67835e7daa553e91fb76757709be7b2280 | refs/heads/master | 2022-11-03T09:49:59.101777 | 2022-10-27T06:43:03 | 2022-10-27T06:43:03 | 273,888,497 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,981 | py | FactorRotation.py | import numpy as np
import matplotlib.pyplot as plt
class Rotation(object):
"""
This class includes various rotation methods.
orthmax, quartimax and varimax can be used for estimating orthogonal rotation matrices.
oblimin, quartimin, biquartimin, covarimin and geomin can be used for estimating oblique ... |
e79a0246c6d83aa5e4310f3918d8a79810e54023 | d846460c9fcb294fb88a68c14f081013466f47d5 | /assign14.py | ce111b6e3e2955e5dc308cbd7550e1bc13c7073d | [] | no_license | divyajaincs/Python-Practice- | 52d5dc0a7d998d7476fe332e723dee7b89b182cb | 679df72102555a7f1afe055c1257aca2cfada0f3 | refs/heads/master | 2021-04-12T10:07:28.868872 | 2018-03-25T19:32:14 | 2018-03-25T19:32:14 | 126,732,330 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 131 | py | assign14.py | count=0
result=0
for count in range(1,10):
result+=count
if result>6:
break
print("Result=",result)
|
be5bc7008a8b9ec434704979e27076e9d9b92373 | d69a91fb8cde0847a033cf5d9e1d48cde26a733e | /neuMF_PyTorch/model.py | 4de75e302677e689cd5cb82ac515f61a1b57da91 | [] | no_license | josephwww/DGProject | 1a0f34b1f686f0e4d71786ce852ebea899f83d9c | d4718f39f71269638d70992c0e7e078380fe1f64 | refs/heads/master | 2023-03-13T02:33:23.391893 | 2021-03-02T15:31:37 | 2021-03-02T15:31:37 | 329,131,158 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,727 | py | model.py | import torch
from torch import nn
# define the NCF model, integrating the GMF and MLP
class GMF(nn.Module):
def __init__(self, user_num, item_num, factor_num):
super(GMF, self).__init__()
self.embed_user_GMF = nn.Embedding(user_num, factor_num)
self.embed_item_GMF = nn.Embedding(item_num, ... |
e53e4b452e3b77443c78a7db85d297f00da119a1 | 20f16917c9245aae71cb50fcc4b3e34e1e2a5006 | /LessonTwo/python05/Calculator_start.py | f44b242754bc6e0fc7c98d5c4b86b74a0050b6a2 | [] | no_license | yinsendemogui/Alex | f4bce794efb5cacdf547c420d7a3a3c5d27be5c8 | eeb230b9028ced5c7fc0f293c1d4d7b98c521721 | refs/heads/master | 2020-06-11T19:17:41.397658 | 2017-01-07T15:50:48 | 2017-01-07T15:50:48 | 75,628,240 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,282 | py | Calculator_start.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
# 模拟表达式计算器(支持加减乘除和小括号)
# 本程序可以在windows下运行基于python2.7.8版本开发
# python05_homework
# __author__:The_thirteen_group_chensiqi
import re
TAG = True #循环控制标志
def Remove_Redundance(str):
'''
去除冗余符号
:param str: 表达式字符串
:return: 去冗余的表达式字符串
'''
num = len (str)... |
fff7a4b41e1539f37c1f1b4e8b440af927f18094 | 9b72a05897dc63c1cf507023ccf3dcfd5f40748c | /tests/test_locales.py | b040471994e9acb1d56f4aeee33c23dba92cdcfe | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | lk-geimfari/mimesis | 991a0a6a45010fe7dd57682ddc347573ca2325df | 653bb5a90a91ea8dfbdb08684c66deb1b23bcda9 | refs/heads/master | 2023-08-21T02:27:12.837063 | 2023-08-20T15:57:13 | 2023-08-20T15:57:13 | 67,834,502 | 3,144 | 370 | MIT | 2023-09-14T10:37:03 | 2016-09-09T21:41:22 | Python | UTF-8 | Python | false | false | 762 | py | test_locales.py | from enum import Enum
import pytest
from mimesis.exceptions import LocaleError
from mimesis.locales import Locale, validate_locale
def test_locale_enum():
assert len(list(Locale)) == 34
assert issubclass(Locale, Enum)
def test_validate_locale_missing_locale():
with pytest.raises(TypeError):
va... |
d093bcb09eb84aca798da8825b6cabbcbdd5c008 | 81d19f4f771ea95586280f41f4d4f1df0c21f527 | /urlexpanderapp/views.py | 3d4040fe958ed9d654875af2f734efafe12fa277 | [] | no_license | MitchellAmundsen/urlexpander2 | 51885e029941b37d0cf7ebec33dcd8909793271e | 4fe0513e9cc0bb5e8158a666cde541188c70fe20 | refs/heads/master | 2021-01-09T20:09:26.575641 | 2016-11-15T22:27:53 | 2016-11-15T22:27:53 | 65,713,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,249 | py | views.py | #from urllib.request import urlopen
from django.shortcuts import render, get_object_or_404
from .models import URL
from .forms import URLForm
from bs4 import BeautifulSoup
import requests, json
from django.contrib.auth.decorators import login_required
from django.contrib.auth import views as auth_views
@login_required... |
aa1449c1144d599ecfa3ecb41d515d7744abdc97 | b038c7600f0581c678c2ac5fffce30392a16f2e7 | /example/myapp/urls/staff.py | 620ec9e4e105b45adb5d70d566f907c85a17b882 | [] | no_license | bradbeattie/django-urlmagic | a645b0ec41a3217aee0803edbf7181d959c4c6f8 | aa23b4f76eccbc5db6d8010a9a7adb5e49a7ad39 | refs/heads/master | 2021-01-10T19:11:06.970106 | 2015-08-12T18:37:25 | 2015-08-12T18:37:25 | 17,228,942 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | staff.py | from myapp.models import Alpha, Beta, Gamma
from django.conf.urls import patterns
from urlmagic.staff import StaffUrlGenerator
urlpatterns = patterns("")
for model in (Alpha, Beta, Gamma):
urlpatterns += patterns(
"",
StaffUrlGenerator.list(model),
StaffUrlGenerator.add(model),
S... |
f0436c13d8288592a37fa044096abd2f0d4b3f7c | 8b7d9d684b0dcf38626ec63d0d809327fce6196e | /examples/mp/keras/builtin.py | 81b1c5a4563b95bc209acbd477977331ac30d022 | [
"MIT"
] | permissive | run-ai/runai | 917b274446ef38710e39b5d527a71c5b18cca3af | 3bab5e23730d76d655ae3d9143d8e78a2b5cb0c7 | refs/heads/master | 2022-12-06T03:27:32.915727 | 2022-11-22T09:48:02 | 2022-11-22T09:48:02 | 205,650,825 | 122 | 17 | MIT | 2021-02-02T12:10:12 | 2019-09-01T08:42:13 | Python | UTF-8 | Python | false | false | 3,763 | py | builtin.py | import sys
import keras
import numpy as np
from keras.preprocessing.image import ImageDataGenerator
from scipy.misc import imresize
import runai.mp
#runai.mp.init(splits=2, method=runai.mp.Method.Cout)
runai.mp.init(splits=2, method=runai.mp.Method.Cin)
if len(sys.argv) == 1:
MODEL = 'vgg16'
else:
MODEL = s... |
b50f91fa4448dd97a585ec45b80e3a2607a55868 | 623a81d04ac1e0755e8fda2b33860ec37867fc01 | /URI_1066.py | f503ce03b5d6585f3217fc0c5cc413fc9fb5a1a9 | [] | no_license | lalchan123/Contest-Programing-Code | aa4aade42413383916cafaa0653b5ec616fc0293 | 8e26e9a413723f7f2fb6a9172fa365b8e58ffaa8 | refs/heads/main | 2023-07-15T11:24:56.929980 | 2021-09-01T18:33:41 | 2021-09-01T18:33:41 | 301,860,777 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 577 | py | URI_1066.py | # # ans = []
# pos = []
# neg = []
# odd = []
# evn = []
# for x in range(5):
# ans = int(input())
# evn = filter(lambda x: x % 2 == 0, ans)
# evn = filter(lambda x: x % 2 == 0, ans)
# evn = filter(lambda x: x % 2 == 0, ans)
# evn = filter(lambda x: x % 2 == 0, ans)
# # evn.append(ans) if ans % ... |
1a5b28dc1461ba9168210a01fdec4a1a1da4eca9 | fee894c10e92da7faa32153b33caefa6d03047fb | /src/CPP/Display.py | 6ff384793b6440bacdffa3c2e6f8aaea37e136d2 | [
"BSD-3-Clause"
] | permissive | alokmalik/uavSim | 4f51e9dab38f0d47fdf704bf83d5caab9c43407e | 896a462e4d26254b9a33f3ed0a6fc3ba55a82a14 | refs/heads/main | 2023-02-25T23:06:36.601028 | 2021-02-03T13:36:54 | 2021-02-03T13:36:54 | 335,494,612 | 0 | 0 | BSD-3-Clause | 2021-02-03T03:20:23 | 2021-02-03T03:20:23 | null | UTF-8 | Python | false | false | 2,463 | py | Display.py | import numpy as np
import matplotlib.pyplot as plt
from src.Map.Map import Map
from src.base.BaseDisplay import BaseDisplay
class CPPDisplay(BaseDisplay):
def __init__(self):
super().__init__()
def display_episode(self, env_map: Map, trajectory, plot=False, save_path=None):
first_state = tr... |
d3faf5d5f60d2c20c114db9e474e952a8bfd747a | 8b7845590c979bcafc72ded5e88dbcfb8003ba42 | /Session 5/Skeleton Files/Exercise 1.py | 0de1e60f291cccd56103562afcc15fd4211bd02a | [
"MIT"
] | permissive | Descent098/schulich-ignite-winter-2021 | 131b718f8f617b1ea8be1ef53d928cc7201c1bb4 | 2003966651f8afc2d75657e1728e8dd8a13b88a2 | refs/heads/main | 2023-08-06T18:02:41.960844 | 2021-10-01T17:42:23 | 2021-10-01T17:42:23 | 335,855,788 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,621 | py | Exercise 1.py | """Exercise 1: Ignitey Bird
Remember to fill out all the TODO's, you can quickly scan for them by pressing CTRL/CMD + F
"""
import sys
import os
import pygame
"""
SETUP section - preparing everything before the main loop runs
"""
pygame.init()
# Global constants
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 800
FRAME_RATE = ... |
931b3d6a04baba7e0a52f24ce77d2c1110f63b08 | 3b331b6751c1a2664c4f37a0713fce67f9addeeb | /setup.py | 59b71fb4d492b0d67d689cb361c45be00d58527c | [] | no_license | collective/experimental.noacquisition | 3e19630be30f257f56e7dd5bc9bfe773592302a1 | 768086d64c78b062448e6be7ab2f612c7e225886 | refs/heads/master | 2023-06-26T14:38:49.764806 | 2023-02-09T22:08:53 | 2023-02-09T22:08:53 | 23,928,924 | 2 | 1 | null | 2023-02-09T14:37:58 | 2014-09-11T17:45:35 | Python | UTF-8 | Python | false | false | 1,908 | py | setup.py | from setuptools import setup, find_packages
version = '1.0.0b11.dev0'
setup(name='experimental.noacquisition',
version=version,
description="No acquistion during publish traverse",
long_description="\n".join([
open("README.rst").read(),
open("CHANGES.rst").read()
]),
... |
46076ab436fa62a76bfb94f4fd1fdd9a722f314d | dd3eec3a3ff0ed3ccdfaff5ebbcade08453234e1 | /Reputation/src/Reputation/Resource/calculations.py | cab9d0b1b7113e4b0dbc652d6e27a8a06837dd01 | [] | no_license | westonb7/Reputation | c184f312a6df8ba5ebebea0270add62180b0d8d4 | d39a6131f554afd3724cb1e5bb5ed03f326c3d7c | refs/heads/master | 2021-04-29T18:35:52.993271 | 2018-03-15T16:29:24 | 2018-03-15T16:29:24 | 121,694,695 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,153 | py | calculations.py | import falcon
from collections import defaultdict
## Define the S function described in the document:
def sFunction(x, a, b):
c = (a+b)/2.0
if x <= a:
return 0
if x > a and x <= c:
return (2.0 * ((x-a)/(b-a))**2)
if x > c and x <= b:
return (1.0 - 2.0*(((x-b)/(b-a))**2))
i... |
ddbdaf19990aff182956a8d88bd4d588dfd41f3f | 82d588161a8f8cd27c3031c779120ea4380791b9 | /yejin/greedy/11399.py | 25f6ee8e2c409d7e34b38107592f9493a41ea10a | [] | no_license | Yejin6911/Algorithm_Study | 3aa02a7d07169382a78c049d1de8251a52da816c | 98c968bfeed17ab6b62e3a077280e0310f08190a | refs/heads/master | 2023-09-01T00:31:07.212413 | 2021-10-24T07:56:21 | 2021-10-24T07:56:21 | 345,009,057 | 1 | 1 | null | 2021-09-20T13:08:33 | 2021-03-06T04:57:34 | Python | UTF-8 | Python | false | false | 511 | py | 11399.py | import sys
n = int(sys.stdin.readline().rstrip())
people = list(map(int, sys.stdin.readline().rstrip().split()))
people.sort()
# 방법 1 - 해당 사람이 걸리는 시간을 result에 계속 더해준다.
result = 0
for i in range(n):
time = sum(people[:i+1])
result += time
print(result)
# 방법 2 - 해당 사람의 시간을 더해야 하는 횟수만큼 곱해 result에 계속 더해준다.
cou... |
5d1da7d222dc553a9d2aa41545607c62d9645424 | e0c7e49e4f3a70b33c2e0cd209d02954368ada9e | /240-mid-Search_a_2D_Matrix_II-180720.py | 261c679f5f74ad3083cb997ca51c48e69161f763 | [] | no_license | Freegle1643/leetforfun | d973ee0c1f0029b9827ff799f7609c870a9383ed | bd0641d0edb21b3b8121afe58d3ca0964a87ca84 | refs/heads/master | 2021-07-09T02:49:03.734066 | 2019-02-01T07:31:52 | 2019-02-01T07:31:52 | 141,117,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,552 | py | 240-mid-Search_a_2D_Matrix_II-180720.py | """
240. Search a 2D Matrix II
Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:
Integers in each row are sorted in ascending from left to right.
Integers in each column are sorted in ascending from top to bottom.
Example:
Consider the following mat... |
dff68a341b274d3b91de2765f4fe7c2a95d87e15 | 090dbdb791263f9a59a674910ba55870b2d38ed6 | /reddit/app/views.py | 393fd4afc4ea4658e43c45370c4cc2c73b20a3ec | [] | no_license | dfreshreed/django_reddit | 699b5afc04e4913552adfa8fb51cfc5dc03ab4c1 | b430e7513be995fd59c4059f2d973f9bcfe7150f | refs/heads/master | 2021-06-19T21:20:15.601721 | 2016-11-17T22:31:11 | 2016-11-17T22:31:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,262 | py | views.py | from django.shortcuts import render
from app.models import Subreddit, Post, Comment, Profile
from django.views.generic import DetailView, ListView
from django.views.generic.edit import CreateView, UpdateView
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from django.u... |
8521071c6e514ca898a85a0db506e716822693b1 | 01f943793cfa49daa61a3a8d704e032ba31a01f9 | /montecarlo-estimaciones/ejer2/ejer2e.py | d078d424e60bfc21e43e72205b0a8c7db625b402 | [] | no_license | lucasea777/Modelos-y-Simulacion | 72be4328942dcc636637d15dbbf7f7f79946b48e | f7ba4a08f048fdec7a82f0c69d3138e0deefa97c | refs/heads/master | 2021-04-12T12:37:24.501894 | 2014-06-23T09:12:06 | 2014-06-23T09:12:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 522 | py | ejer2e.py | from math import e
from random import random
def integral(x):
return e**-(x)
def aux(x,y):
if y<x:
return 1
else:
return 0
def integrate():
x=random()
y=random()
if y<x:
r=(integral(1/x -1)/x**2)*(integral(1/y -1)/y**2)
else:
r=0
return r
N=[10**i for i i... |
938689a4face966b96a8cfd04a4d96386d26fa24 | 1e6d9037cf696f756c560657357409d17575f671 | /PythonApplication1/PythonApplication1/PythonApplication1.py | 3aaa2a23a340a718b40b5e15e7ced68715f34e88 | [] | no_license | vegaralstad/vegarvilikkelare | a0dfb589dc8e74abbed97f6833517c3fa120a9b7 | e85cc139a208056215347040d4bf1945cac33115 | refs/heads/master | 2021-06-27T18:44:15.719029 | 2017-09-15T14:48:28 | 2017-09-15T14:48:28 | 103,053,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 358 | py | PythonApplication1.py | import webbrowser
url1 = ""
url2 = ""
print ("Are you good bro?")
var = input("Yes/no: ")
if var == "yes":
try:
webbrowser.open(url1, 2, False);
except Exception as e:
raise
if var == "no":
try:
webbrowser.open(url2, 2, False);
except Exception as e:
raise
print... |
225eec2faa624907d861267b38a7835133769d06 | 3d0d7f8d7d4fb467c5650aa669ee89c349125290 | /imgprocess.py | a4e2a66a87a6253066dda8735da6f15994ac4da1 | [] | no_license | vistec/tensorflow | b5d0e7ca1a65b7350a17beb6ddf41c2404c7a708 | 690274471593c91894c1bde918e6b9799c402496 | refs/heads/master | 2020-04-04T22:59:52.841264 | 2019-06-20T13:33:40 | 2019-06-20T13:33:40 | 156,343,503 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,827 | py | imgprocess.py | import tensorflow as tf
import os
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# F:\Deep_Learning\TFProjects\TensorflowProject\path\data_cat.tfrecords
# D:\AI\pyprogram\tensorflow\path
def read_and_decode_tfrecord(files):
file_queue = tf.train.... |
88a9fcf4acf334f95e35988357958d71a9ad400c | 91b41155a356e74c4cbb6c02cb369e22f9b77c74 | /debugging+extra/debug_lookup.py | 2bdd8720cc858d1bc9a82b08d108fd8e8d211182 | [] | no_license | AmphibiaWeb/SpeciesLookup | d7ee9f655470615ea64fa180ee4bee45a1cc8823 | fd6185174c394a0560e8a644c2941150b3059982 | refs/heads/master | 2021-07-12T05:04:11.644269 | 2020-06-03T16:05:24 | 2020-06-03T16:05:24 | 148,252,043 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 268 | py | debug_lookup.py | # this is debugging for lookup_table
# need to create the class that filters request
import kmlparserclass as k
from ray_casting import points
aspecie = k.parser("Adenomera_ajurauna")
point=points(-46.5,-23.825)
aspecie.visualize(point)
print(aspecie.inside(point)) |
0053d774ca580d43941acdd3bb80eb3b583f6c19 | c87304a70dae89682c447406bae181738265d254 | /Tests/tx_test.py | 9abee0e56f7de0c304d1c131dfd31cd38d9b0c6c | [
"Apache-2.0"
] | permissive | schriftgestalt/afdko | e185bf7babc0f7d1fcea8b1ccfdab3cc81e41a74 | 2c1be4e1c10a71b0e4366f8dbfc3afaf8e1fcb8d | refs/heads/master | 2021-05-01T10:20:04.480977 | 2018-06-28T00:10:01 | 2019-05-18T08:50:02 | 25,173,723 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,218 | py | tx_test.py | from __future__ import print_function, division, absolute_import
import os
import pytest
import tempfile
from .runner import main as runner
from .differ import main as differ
from .differ import SPLIT_MARKER
TOOL = 'tx'
CMD = ['-t', TOOL]
data_dir_path = os.path.join(os.path.split(__file__)[0], TOOL + '_data')
de... |
2995f868a0b160c8c8b50c7b1430ade401250189 | c73a2597719201e5b8d882e00f1cef8bb9028b7d | /portfolio/portfolio.py | f42df58dba08fba4509e7a457978bdd7eae60152 | [] | no_license | hirchaudhary/Python-Flask | d3e50396cce6ffdb7ebec3cd57d18d01926d9963 | bd72165f9b52e4e60f92aff812b5899423d43067 | refs/heads/master | 2020-12-02T12:44:57.042462 | 2017-07-08T01:10:36 | 2017-07-08T01:10:36 | 96,587,013 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 304 | py | portfolio.py |
from flask import Flask, render_template
app = Flask(__name__)
@app.route('/')
def demo():
return render_template('main.html')
@app.route('/contact')
def contact():
return render_template('contact.html')
@app.route('/hello')
def hello():
return render_template('hello.html')
app.run(debug=True)
|
753f1106855cd77b1379055a1a1f1e7c873edbd9 | a7d7bc1726d2bbd322a3ae3116871116cc9a7c21 | /KW24作业/Action1.py | d00d4c49f5a591eb4cc19b7f0df498fccbd5cc6b | [] | no_license | comxuyuan123123/DataEnigne | 7e8c099640a1e049ad690af7e6a6dc0f06ef43b7 | 185a44b26d4f5a7815802a7bee4048402f02390f | refs/heads/master | 2022-11-10T09:00:32.737124 | 2020-06-24T05:00:53 | 2020-06-24T05:00:53 | 272,904,706 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 64 | py | Action1.py | #Action1:求2+4+8+...+100 的和
print(sum(range(2,101,2))) |
e9ee03ec528ba91cbd278f13e19401a1c2651dbc | 2ea5ba3cddec1dfb0ce41c23c8e2c5459b6121dd | /boykov_benchmark.py | 96fe18e6d91f8ff057cd7698c4f57de6087a6520 | [
"MIT"
] | permissive | Wu-Xiang123/FastMaxFlow | 7c43ce5adbb4d2a2996255417ecb6ec141f85342 | 482b2734f1f9952528b9856d8111dd2874861fef | refs/heads/master | 2021-05-28T16:56:21.014436 | 2015-03-31T23:42:45 | 2015-03-31T23:42:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 700 | py | boykov_benchmark.py | from __future__ import division
import numpy as np
import graph_tool
import graph_tool.all as gt
import sys
import time
if len(sys.argv) != 2:
print 'usage: ' + sys.argv[0] + ' <n>'
exit(1)
n = int(sys.argv[1])
g = gt.Graph(directed=True)
g.add_vertex(n)
cap = g.new_edge_property("float")
for i in range(n):
for... |
a83ab4dd54f4ae01518a7271d654137db82dbfa1 | bc2a9ff9a45df8f3187fc7eae4dc028ab0b9e067 | /backend/demo/forms.py | 48b746652b4bfd51e4e59c72cb39015c1483ddba | [] | no_license | AlenAlic/clubpromoters-api | 3ae8c6d0fbad8426956660c6b490d7cf5bf7e69f | 3d42e7b1e74cb8166741dfacd8108552cb6b3692 | refs/heads/master | 2022-12-10T19:57:06.591328 | 2020-07-31T14:40:36 | 2020-07-31T14:40:36 | 225,017,037 | 1 | 0 | null | 2022-12-08T03:19:06 | 2019-11-30T13:32:14 | Python | UTF-8 | Python | false | false | 1,977 | py | forms.py | from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired
from models import Party
from datetime import datetime, timedelta
from random import choice
from .data import CURRENT_PARTY_DAYS, PAST_PARTY_DAYS
from .functions import create_party, preset_start_dat... |
27be93efc8d34bbf317efd46bfa21807002315b6 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_118/1221.py | be057dc0b8f27f427ee51f90145ebc5699e5b782 | [] | no_license | dr-dos-ok/Code_Jam_Webscraper | c06fd59870842664cd79c41eb460a09553e1c80a | 26a35bf114a3aa30fc4c677ef069d95f41665cc0 | refs/heads/master | 2020-04-06T08:17:40.938460 | 2018-10-14T10:12:47 | 2018-10-14T10:12:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 624 | py | 1221.py | #/bin/python
import sys, math
def pa(a):
if len(a) <= 1:
return True
if a[0] == a[-1]:
return pa(a[1:-1])
return False
def calculate(a, b):
count = 0
for i in xrange(a, b+1):
s = math.sqrt(i)
if s == int(s) and pa(str(i)) == True and pa(str(int(s))) == True:
... |
9ec4a0e7c8c33f5c43a135f3dfaea6f669675afc | 9921551f1a45757b14f7ac09cfa08a7ab9a35cda | /scratch13/ex03.py | 82bc5269ede26bf00db8a179f6be0ddcbc931f09 | [] | no_license | Jeanrain-lee/lab-python | 9338c1769722763ebaf290db04588f93c7b858ec | 75a68b8e96335937c37a3a526de1c0a2f72e151b | refs/heads/master | 2021-04-08T11:35:10.237497 | 2020-03-20T14:21:56 | 2020-03-20T14:21:56 | 248,772,080 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 618 | py | ex03.py | """
y = b + a1 * x1 : 단순 선형 회귀
y = b + a1 * x1 + a2 * x2 + ...: 다중 선형 회귀
"""
import numpy as np
from sklearn.linear_model import LinearRegression
np.random.seed(1216)
X1 = np.random.rand(100, 1)
print('X1 =', X1[:5])
X2 = np.random.rand(100, 1)
print('X2 =', X2[:5])
y = 3 + 4 * X1 + 5 * X2 + np.random.randn(100, 1) ... |
354a958656eb1b23a814aa99bed459cc7b57fa8d | 52ca38b95296393bf9b528e07c49a96649540252 | /leetcode/136/single_number.py | 01aba2f5c1af3a458a94d47b6f1ddda906a962aa | [] | no_license | clelandgt/arithmetic | 5925ffeb3f733ed2169ba5ca96323ba883b4c84a | a3f674284b0f61475cbb9dbe5c598fe198a8c18f | refs/heads/master | 2021-04-27T16:18:29.258732 | 2020-12-02T00:33:02 | 2020-12-02T00:33:02 | 102,631,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,790 | py | single_number.py | # -*- coding: utf-8 -*-
# @File : single_number.py
# @Author: clelandgt@163.com
# @Date : 2020-01-21
# @Desc : https://leetcode.com/problems/single-number/
from typing import List
class Solution1:
def singleNumber(self, nums: List[int]) -> int:
"""
时间复杂度: O(n)
空间复杂度: O(n)
:param... |
a12dbc80f463eb1ffde98234a01b8d785b7197f1 | 79bf6a17e8922714645cda018d97113199808f04 | /MetaData.py | 0b0af5a765f1c01ab04a447db186397aa15bb5cc | [] | no_license | sunyinggilly/VOTEN | 7107549f4ff75908da315ab87580e043ab7b95ca | 0570e4f148a8fd540b4d2ee8d71f2cf8cb7a305e | refs/heads/main | 2023-08-13T00:32:21.099572 | 2021-10-01T13:18:24 | 2021-10-01T13:18:24 | 412,434,439 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,561 | py | MetaData.py | import tensorflow as tf
import pickle
import pandas as pd
class MetaData(object):
def __init__(self, use_labels=None, all_cols=None, cont_cols=None, disc_cols=None, group_len_ctrl=None, group_len_feat=None,
group_ranges=None, group_len=None, n_dv=None, df_val=None, n_train=None, n_test=None, othe... |
88293c14cc2397a18a300600d67797627aa4a47a | c02f3b6de7f35dc7cd1c6820f3ba27fbaf522d98 | /py_tools/cdm/common/globals.py | fde642bdad61c752a86e1040ed597e1c912ac770 | [] | no_license | glamod/icoads2cdm | ac01c7b7a34ee3d0940b8ed9f0cc82c54541aee4 | 83983147814a0648b2fe1d5e6fe46f47768e5875 | refs/heads/master | 2020-04-16T03:18:50.733689 | 2019-01-23T12:37:38 | 2019-01-23T12:37:38 | 165,227,513 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py | globals.py | # global values
# invoque on modules where needed: main calling module may modify or set to these
# default values, but other modules won't realize they changed....!!!
fmiss = -999999.
imiss = -99
omiss = "__EMPTY"
tol = 1E-10
|
e2d3f7b0db7989707fb327910a8d40e11141113a | bad803d1991c40464c0882e73c67d4ad6733418a | /untitled3/contact/models.py | 1986d7b32b1026bdf41e58c2d3075135489bd17f | [] | no_license | pateljainilanilbhai/ecommercewebsiteindjango | df36a51c4e646b483add756a0b419c006f8a20d5 | eb853c9f9df9ee79e5f9bc6a7acc41a0ef751d7a | refs/heads/master | 2023-01-06T10:41:10.607719 | 2019-04-28T19:00:15 | 2019-04-28T19:00:15 | 183,947,303 | 2 | 0 | null | 2022-12-26T20:15:40 | 2019-04-28T18:59:35 | Python | UTF-8 | Python | false | false | 244 | py | models.py | from django.db import models
# Create your models here.
class Query(models.Model):
fullname=models.CharField(max_length=200)
email=models.EmailField()
content=models.TextField()
def __str__(self):
return self.email
|
eb8721f682449f39b7436b012cb74b62c6910245 | fa552c334856675b883c31a33a50de464bc56333 | /Day_5/02_feature/wave_modeling.py | 1cb2e55207f432b7dfeed70fd8a8219f3938c6a6 | [] | no_license | hjs90911/1804_Learning_MachineLearning | 9491413e7a0fd8f3eb8f278c0aa84716b0627728 | 49be904519df014d19f325bee6e2162b6cd85892 | refs/heads/master | 2020-03-10T10:31:03.809913 | 2018-04-17T00:13:32 | 2018-04-17T00:13:32 | 129,334,730 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,000 | py | wave_modeling.py | from sklearn.linear_model import LinearRegression
from sklearn.tree import DecisionTreeRegressor
from sklearn.preprocessing import OneHotEncoder
import numpy as np
import mglearn
import matplotlib.pylab as plt
X, y = mglearn.datasets.make_wave(n_samples=100)
line = np.linspace(-3, 3, 1000, endpoint=False).res... |
95991cefbabc439989ef5864504c1304d6a8b583 | be38c2dd6a966dc624b35b00817d51a1a946b80e | /src/utils/subproc.py | be1cfdd588fab11d378151316235d2742a59d031 | [] | no_license | yellcorp/shelpers | 0f5ca7f5b8dd0dda39ebd48b2fb7a5604454f483 | 05a6433ee068706bfc3bf49bade5d63069f56f1b | refs/heads/master | 2023-06-23T11:15:16.435934 | 2023-06-14T02:31:53 | 2023-06-14T02:31:53 | 141,513,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,028 | py | subproc.py | import collections.abc
import functools
import subprocess
from typing import Container, Union, Callable
IntegerSet = Union[int, Container[int], Callable[[int], bool]]
def integer_compare(value: int, value_set: IntegerSet) -> bool:
if callable(value_set):
return bool(value_set(value))
if isinstance(va... |
1fdfe20a0741ccdb9c1ae5a07f621625865e7df1 | ec3d893ee593ee48fc0cd2257b180c5372e19e17 | /translate.py | 1865c72d33237cabe5b6d23069b039ccbf32b591 | [] | no_license | ddyack/telegramBot | 85ae32a0392b782f6526c9229714f047cc294eda | a54f87d9be1a64aa6515104c55114690ebf98b8f | refs/heads/master | 2023-05-26T04:30:33.188835 | 2020-11-08T22:10:25 | 2020-11-08T22:10:25 | 136,915,190 | 0 | 0 | null | 2023-05-22T21:50:06 | 2018-06-11T11:10:54 | Python | UTF-8 | Python | false | false | 385 | py | translate.py | import requests
def get_translate(text=''):
url = 'https://translate.yandex.net/api/v1.5/tr.json/translate?lang=en-ru&key=trnsl.1.1.20180218T101426Z.cce41916431b11ed.9428fdf2e11172d4dce13ef03f157ea7d9bc6477&text={text}'.format(
text=text
)
translate = requests.get(url).json()
print(tra... |
a061a0f85b50320dc979e4ac51e9516ece69bd7f | 9bc57701b4de0d796a33dc878b5718ee0e1d46d6 | /models.py | 6158c2b1f8332def78fbc7b946b4aa838175a925 | [
"MIT"
] | permissive | 5eXtreme/kaggle-toxic-starter | b7d0fcf14e8be59296ad1af3843e45f914576bd3 | 7226b54d162c3ceb141f99e99125fad200bb378c | refs/heads/master | 2021-04-27T14:49:32.070896 | 2018-02-22T10:35:26 | 2018-02-22T10:35:26 | 122,459,192 | 0 | 0 | null | 2018-02-22T09:46:59 | 2018-02-22T09:46:58 | null | UTF-8 | Python | false | false | 17,441 | py | models.py | """
Todo:
Try Adagrad and Adadelta
Implement cnn+lstm
Implement FastText embedding + models
Research/implement Region embeddings from http://proceedings.mlr.press/v48/johnson16.pdf
Experiment with Attention and Dilated Convolutions
"""
from keras import regularizers
from keras.activations import relu
from keras.callba... |
2698dd5cde7adbc4751af8823e515ac870a360e2 | b215a3e88b7b37849913f8cbf99bfaa985dd87dc | /HttpPy/ParseRequest.py | 02956f9cac415c735070e09d5b22e1f3e991f79f | [
"MIT"
] | permissive | hound672/HttpPy | b6e85402885b819a350a54163b62e87054875191 | 888e49ae84315c8f76323163125ec5a04e6eeed6 | refs/heads/master | 2021-05-20T01:31:44.010793 | 2019-10-21T21:15:18 | 2019-10-21T21:15:18 | 252,129,387 | 0 | 0 | MIT | 2020-04-01T09:25:50 | 2020-04-01T09:25:49 | null | UTF-8 | Python | false | false | 4,744 | py | ParseRequest.py | # Python
import json
import re
# Exceptions
from .Exceptions.RequestDefinition import RequestDefinitionException
from .Exceptions.KeyValDefinition import KeyValDefinitionException
class ParseRequest(object):
def __init__(self: object) -> None:
self.requests = []
self.request = {}
# Flags... |
3a15a9ea7fce1294a51d2b793abc94dcc3740911 | 340365fa840b963fb2ee0763ed2ce71d07e9c163 | /atcoder/ABC003/c.py | b68bbfd230764498154db80ec89ec56a16639cb2 | [] | no_license | shupopo/competitive_programming | 53778ba5bc7167f43f73af5c62d8348ddb282863 | 93c5eb6083688b4b166d283e230697770903e5e2 | refs/heads/master | 2020-06-21T16:14:29.477680 | 2019-07-18T09:47:49 | 2019-07-18T09:47:49 | 197,499,636 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 314 | py | c.py |
N, K = map(int, input().split())
# 小さい順位レートをソート
# 小さい方からN-K除去
# 残ったうち小さい方からK個見ればよい
rates = [int(i) for i in input().split()]
rates.sort()
if N-K > 0:
del rates[0:N - K]
ans = 0
for rate in rates:
ans = (ans + rate) / 2
print(ans)
|
3cd6c845409c01b224286ede6a515302e1b47414 | cc0c75c7f592d3a482974b4d9f1e43a4bb889feb | /updater.py | dfb6d6c7dfb4cd20d490a0fdb41fa29d9189a14d | [] | no_license | shawnkoh/BeeFocused | e6e9dcdce3195812ac882b2f3aeb26a1c53b7fc3 | cf45f58ee2b704513aacb8f7e15f53462cc0c494 | refs/heads/main | 2023-03-26T08:22:09.466430 | 2021-03-26T19:35:13 | 2021-03-26T19:35:13 | 351,132,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,523 | py | updater.py | """Script that integrates Focus with Beeminder."""
import os
from enum import Enum
from typing import NamedTuple
from dotenv import load_dotenv
import beeminder
import notifier
# CONFIG
load_dotenv()
beeminder.username = os.getenv("USERNAME")
# Retrieved from https://www.beeminder.com/api/v1/auth_token.json
beemind... |
fd07d29ba6578e626cc2913124822fd8501da2ae | 354b10475f3006b79a8ed78d784980c43efeb9d2 | /Marvellous_Infosystem_Assignment_2/Assingment2_10.py | edff0d88f0922d68bbf4e31621bfe27beb597f24 | [] | no_license | spd94/Marvellous_Infosystem_Python_ML_Assignments | 1c851f8e95dcdfa493b2015c64c96afaf3adf3ef | 1c2f578b27fed04e42cef47b97b657eb02888f4a | refs/heads/master | 2020-09-09T14:37:50.791208 | 2019-12-18T11:41:16 | 2019-12-18T11:41:16 | 221,473,058 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 133 | py | Assingment2_10.py | def sum_digits(n):
t=0
while(n>0):
t=t+n%10
n=n//10
print("Output : ",t)
print("Input :",end=" ")
x=int(input())
sum_digits(x) |
1a10f651eb95f2e8847d5788a592c84179d0ef6f | 92a87f6b3957e655458e656f73a121899c7aa381 | /Day 4/ROCK,paper,scissors.py | 786c97549a93e7f0fba91c0ef181cb7ad63adc6e | [] | no_license | shivangimahule15/100Days_Of_Python | 1c26316c255c056fef1427285612ba89810908f9 | 43add4c8c2e190b0e9104bbb7c7241b2001cff8c | refs/heads/main | 2023-03-30T20:19:31.675169 | 2021-03-25T18:28:18 | 2021-03-25T18:28:18 | 347,350,599 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,432 | py | ROCK,paper,scissors.py | import random
rock = '''
_______
---' ____)
(_____)
(_____)
(____)
---.__(___)
'''
paper = '''
_______
---' ____)____
______)
_______)
_______)
---.__________)
'''
scissors = '''
_______
---' ____)____
______)
__________)
(____)
-... |
18b3f24b4cff53d827f461afce60d083822db855 | 395203abe06dca1c539316928cb78c2c72c65c4b | /K_Means.py | e33533a5ff62e386b8dd28a7d69c9ff39146f653 | [] | no_license | zhenchentl/Machine_Learning | 17db47947052b820c4baa25107acd81a0bf192d6 | 4dde4425f66ad8e1964dc492809100e926cd9cc7 | refs/heads/master | 2021-06-07T03:47:11.975196 | 2016-09-29T11:51:28 | 2016-09-29T11:51:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,240 | py | K_Means.py | #coding=utf-8
import scipy as sp
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
import pandas as pd
import time
from scipy import sparse
import seaborn as sns
start_time = time.time()
data=np.loadtxt('d:\Pycharm\\3.txt')
'''
每一行代表一个好友关系。如第一行表示同学0与同学1的亲密程度为9(越高表示联系越密切... |
f02cdd47a71b161a10ab8748e60e7fada602818d | b4ea5e8fef1ec82265a26096e2c65df4917ef4ab | /GenomeAssemblerTA/other contigs/run_old_method.py | bc2436b8b91b6950869eb11c8f8858d7a788983a | [] | no_license | Tahlor/genome_assembler | 8857ad0969597942b5144bd8e11e619a2d3eab80 | 0fc9317bcc7e14b175b8be06e21d11e49de8bafe | refs/heads/master | 2020-04-05T05:01:12.196870 | 2018-11-11T04:29:39 | 2018-11-11T04:29:39 | 156,577,323 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,046 | py | run_old_method.py | #import contigs4 as contigs3
import contigs4 as contigs3
import os
import main
def open_file(path):
with open(path, "r") as f:
text = [x.strip() for x in f.readlines()]
return text
def run(path, depth=0, k=None):
kmers = open_file(path)
if k is None:
k = len(kmers[0])
d = contigs3.... |
b6524a509b2adef93bb9dec97f8131a0387050e9 | 46cec912b51f4557d534fa0bda2d4cf944eb4a78 | /plot/purchases.py | d5506c803d9d007ba358beb42f7e86913d2a3203 | [
"MIT"
] | permissive | ludwigwittgenstein2/supermarket_elasticsearch | 609d8c511d5410965621345c3d795d6354240426 | 5a70aa5005e77e1fa8b0abef1533a99d363468a7 | refs/heads/master | 2020-05-30T09:18:12.553916 | 2018-06-12T05:18:00 | 2018-06-12T05:18:00 | 83,603,372 | 2 | 1 | null | 2017-03-31T20:16:05 | 2017-03-01T21:26:26 | JavaScript | UTF-8 | Python | false | false | 2,948 | py | purchases.py | from django.shortcuts import render
from graphos.sources.csv_file import CSVDataSource
from django.http import HttpResponse
from graphos.sources.simple import SimpleDataSource
from graphos.renderers.morris import BarChart
from graphos.renderers.morris import LineChart
from graphos.renderers.morris import AreaChart
from... |
82db7473854391360c078a153eed3b0954b432e1 | af480d64d34ade68314db134607cbead38c3abca | /Algorithmic Toolbox/week1/MaxPairwiseProduct/max_pair_product_FAST.py | df8cd107d40319eadc81a1de8065f98e8e9970f8 | [] | no_license | sypai/DS-Algo | a860f8c41dbeab2a82d281515eec3ab39547bceb | 5b927167463ffda140f3d236d9bbe08d1ff1fabf | refs/heads/master | 2020-04-13T22:37:19.089212 | 2019-01-08T13:22:27 | 2019-01-08T13:22:27 | 163,483,811 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 495 | py | max_pair_product_FAST.py | # python3
# n = int(input())
# a = [int(x) for x in input().split()]
def max_fast(a, n):
max_index1 = -1
for i in range(0, n):
if max_index1 is -1 or a[i] > a[max_index1]:
max_index1 = i
max_index2 = -1
for j in range(0, n):
if j is not max_index1 and (max_index2 is -1 or... |
c478c199f8decaf7bdbf07881b5cfead9bfb7d84 | 6717d8c4f13553b7a65b4f67dcee2f99e4380d0c | /CodeJam/2019/3/3/solution.py | b4f85289a98a04d5069392e20f0ebfb72fc89e8a | [] | no_license | martinbaros/competitive | 5e5f49060973d967d1741c90b0a893b86b3747ca | c8d08ffe18abba0b992a25a3a31b55f9b416dd1f | refs/heads/main | 2023-07-24T10:53:40.233640 | 2021-08-28T10:04:43 | 2021-08-28T10:04:43 | 305,113,982 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,499 | py | solution.py | def nsd(a,b):
try:
a = int(a)
b = int(b)
except ValueError:
print("NIECO JE ZLE")
return False
else:
if b == 0:
return False
else:
while a>0:
if a < b:
a,b = b,a
a -= b
re... |
4af783045568705fa42e872c8171464e086adf51 | 701a05ac7bca090bfb8f7c85f0ede040e0c4a2dd | /main.py | 549061e3769a0c187e737d6e387941d4b4c685fa | [] | no_license | Mehdi0xC/PathFinding-Agent-with-Deep-Reinforcement-Learning | 0bfb4f2bac86f2ce84b3824271212fa64ee19750 | 4b723d56d4f600399edbb1add071d539c975d5ee | refs/heads/master | 2021-07-13T15:19:19.144777 | 2020-11-02T14:32:34 | 2020-11-02T14:32:34 | 215,769,866 | 26 | 4 | null | null | null | null | UTF-8 | Python | false | false | 97 | py | main.py |
from environment import CarApp
def main():
CarApp().run()
if __name__ == '__main__':
main()
|
6574aa45e5ae33753786ebc6935be06b9dbbb501 | 49fe43f9165738875a3db19895c891aafe720f31 | /Python/mytext/alu.py | e8ed55c41f8d3b2a070105fa9b37c71816cff7b9 | [] | no_license | wt032320/code | fe504d43c43e6d2b018dd0d80dd90b955baa9aaa | ed54e7f87c6b9801adc1b251b4040ba996f3b037 | refs/heads/master | 2023-07-17T19:08:52.939013 | 2021-09-06T13:12:58 | 2021-09-06T13:12:58 | 403,582,268 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 172 | py | alu.py | 'a calculator'
a=int(input())
ch=input()
b=int(input())
if b==0:
print('divided by zero')
else:
d={'+':a+b,'-':a-b,'*':a*b,'/':a/b}
n=d.get(ch)
print("%.2f"%n) |
03064bd72d46fc9a708277b08716df60c1c01d06 | 4843d0eb99499a6d68cc02e6791a9068a88c1c1f | /Gauss.py | efbc07d8d05d2d68f0017a9804fc5009903a6d2b | [] | no_license | IlyaSolomatin/BayesOpt | c1e908eaf0fefc1f9a87ae23bf8910760e28c583 | dfd876297384d598e938ad2d975f8f1213d668a5 | refs/heads/master | 2021-01-17T16:07:07.131030 | 2017-10-12T15:33:46 | 2017-10-12T15:33:46 | 84,122,483 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,598 | py | Gauss.py | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
def f(x):
return x*(x-3)*(x-2)*(x-1)*(x+1)*(x+2)*(x+3)
def k(x):
return np.exp(-0.5*x**2)
space = np.linspace(-3.1,3.1,num=100)
F = [f(x) for x in space]
known_points_x = [0.2,1.1,-1,-3.1,3.1,-2.03,2.244,-2.67,1.6,-0.32,2.67... |
90a2e118c1bcb9a4c17aa7147d380c16970a66a3 | f8bb0e53a82e949a1a209425a8ecdb7612d286e7 | /guestbook1/admin.py | 14eb16620992ab909bd3f59eb20d4a007d0518a6 | [] | no_license | spmdl/Blog_Basic | c2c09633bdcad59b089831969bc04e431a905401 | 10f1aed57f89c561662944122a3c6b94d1875af8 | refs/heads/master | 2022-07-16T07:43:00.992016 | 2020-05-24T05:00:30 | 2020-05-24T05:00:30 | 256,909,176 | 1 | 0 | null | 2020-05-24T05:01:34 | 2020-04-19T03:54:38 | HTML | UTF-8 | Python | false | false | 132 | py | admin.py | from django.contrib import admin
from guestbook1.models import Comment, Comment_reply
admin.site.register([Comment, Comment_reply]) |
844e930150a32ff0a3b6af9b7cb3888356eec1c3 | 7d506e38a39e9a2b3e599bd633960d7665a36ffe | /SentimentAnalysis/Python3.3/Textalytics/config.py | cea585de0c842c86c1dee866df7238497107812c | [] | no_license | KevinVillela/StockPredictor | e8ef50366effae6215423c84343d119e0a44880f | fb59817e11deb404acb7186b40cbc90cd9b2ef0d | refs/heads/master | 2020-12-24T14:53:43.591880 | 2014-03-16T23:46:18 | 2014-03-16T23:46:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 160 | py | config.py | #
# Textalytics media analysis API 1.0
# Python Configuration file
#
PROTOCOL = "https"
HOST = "textalytics.com"
SERVICE_ENDPOINT = "/api/media/1.0/analyze"
|
56212d7a9bed96fab05a2813c17d8ad004bf8ba3 | ad9db0f25198998655105c908e19f4e2596b0c09 | /sorting_algos/merge_sort.py | 6f15b4c8d9db72cac32d4d6741dc6c1367495ee4 | [] | no_license | smsrikanthreddy/InterviewBit | 3512b64ad7be1c24ba50f2b5e267ba829ba2c284 | c68519b778f31f91fef7b1a4984aa35dbcce3832 | refs/heads/master | 2021-05-09T11:41:37.957192 | 2020-12-08T23:25:18 | 2020-12-08T23:25:18 | 118,995,944 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | merge_sort.py |
def merge(L, R, A):
nL = len(L)
nR = len(R)
k, j, i = 0,0,0
while i<nL and j <nR :
if L[i] <= R[j]:
A[k] = L[i]
i += 1
else:
A[k] = R[j]
j += 1
k += 1
while i<nL:
A[k] = L[i]
i += 1
k += 1
while j<nR... |
8b3fdd1a7a6f158c19788f42f691e49c4bf7f38a | 201d719c508656c429e9dec811f3048aae257fb3 | /pepperpots/kagglescoring/submission.py | 7d9f8efda73250b7092b13badb1d4a16f7f2f1ca | [] | no_license | patjenk/march-machine-learning-mania | 3bfb81ccb61a0a812acb54c1a503bfe5bcb11265 | 96a9b93284bdd8afb807cb90f0141e6efc2127e9 | refs/heads/master | 2021-01-10T05:24:20.568787 | 2016-03-04T21:21:55 | 2016-03-04T21:21:55 | 53,093,561 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,461 | py | submission.py | # A method for scoring entries in the Kaggle March Machine Learning
# Mania competition
#
# https://www.kaggle.com/c/march-machine-learning-mania-2015/details/evaluation
from csv import DictReader
from scipy import log, maximum, minimum, subtract
class MarchMachineLearningManiaSubmission():
"""
Encapsulates a... |
68ea05d079f327eb3a53a9c59bcc6d3e2783a2c5 | 5686bdd6c6006bb883aa9cab0dd5746c9d604218 | /trains/views.py | 88b9778e3315f2524dd099ea2c16135a44693b8c | [] | no_license | tolikumc/search_route_for_travel | d5e4cf9a8455c310b46432bf93ebf03d45fd9cee | 4538880c59ad47ef20a330d4860653d59598d2dd | refs/heads/master | 2020-04-28T05:16:07.981792 | 2019-03-11T14:07:34 | 2019-03-11T14:07:34 | 175,013,297 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,329 | py | views.py | from django.shortcuts import render
from django.core.paginator import Paginator
from django.views.generic.detail import DetailView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.urls import reverse_lazy
from django.contrib.messages.views import SuccessMessageMixin
from .models impo... |
8855005195ec5bee040739826d4b6c2e2cc02158 | 0c4220ea2f44d856cdf846cd55eb466f456bbfcb | /p.py | 3efcdd87d4b5591b73b25341b281a1464a49fce2 | [] | no_license | rpask00/Data-structures | 9d73ac7ca15d1fa482b5ad195a15f125a846c629 | 3a827db1b3d30abec0733acb4bf57c2042c9972d | refs/heads/master | 2022-11-11T10:35:45.352034 | 2020-07-03T15:29:21 | 2020-07-03T15:29:21 | 276,930,607 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | p.py | class Node:
class Edge:
def __init__(self, from_, to_, weight):
self.from_ = from_
self.to_ = to_
self.weight = weight
def __init__(self, label):
self.label = label
self.edges = []
def addEdge(self, to_, weight):
self.edges.append(self.Ed... |
f3f82cff4b9a9731ed1121a1bb35cb9c399416d0 | 2f38a66244b6f78cf67f7abfcc3cb0c462475d2d | /perceplearn3.py | 86581b6bad77c9e68ee9076914973911f5a33841 | [] | no_license | paribadre/Binary-Classifier-for-hotel-reviews | dfde2e8f92648548cac2fbf2743a51d90c1157d6 | 1ae0899c3c8f57f456e204760b99a06c5577a13f | refs/heads/master | 2022-07-03T03:22:59.607281 | 2020-05-14T02:49:09 | 2020-05-14T02:49:09 | 263,795,362 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,639 | py | perceplearn3.py |
import glob
import re
import os
from collections import Counter
import collections
import sys
from random import shuffle
all_files = glob.glob(os.path.join("op_spam_training_data", '*/*/*/*.txt'))
# all_files = glob.glob(os.path.join(sys.argv[1] , '*/*/*/*.txt'))
Vocabulary = Counter()
Vocab = Counter()
FeatureCount ... |
424e336bdd2d3eb038daad95eee3bfa28104f53e | b83ed0897f9c205e3fdf841a29a03101e99db55d | /hello.py | 3daf5ef80d750a50533ac30a8f7c22aa5838e18d | [] | no_license | lynch456/Python-review | 80ba27bdb35b31945ab42bca68090d95bbf09c9d | 9e96a375907a0f996b5cf87818c4eb6fead2b393 | refs/heads/main | 2023-08-22T02:27:48.466765 | 2021-09-24T15:37:08 | 2021-09-24T15:37:08 | 400,703,789 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 107 | py | hello.py | print('\\ /\\')
print(' ) ( \')')
print('( / )')
print(' \\(__)|')
A, B = 1, 2
print(A+B)
print(1+2)
|
e1ce356aa7e87942ec417f1d4e8b4dfa5cabced1 | 95b48dabef70ae397617918d7e2523922dadbe21 | /modulo1/2-pre-processamento/1-leitura-e-visualizacao-de-imagem.py | 25d2f342eb5aff91f1ba7fc398f45153035ef869 | [
"MIT"
] | permissive | adrianosantospb/unifacisa-visao-computacional | e4c783ad0f14b6598e58b3612093f366a52209d2 | 1c89b2d3e220b7218a6d6b2ddc491d2c3158891c | refs/heads/master | 2023-02-26T20:03:37.587788 | 2020-09-19T16:51:50 | 2020-09-19T16:51:50 | 292,999,993 | 0 | 1 | MIT | 2021-02-06T00:49:40 | 2020-09-05T04:11:35 | Jupyter Notebook | UTF-8 | Python | false | false | 538 | py | 1-leitura-e-visualizacao-de-imagem.py | # ****************************************************************
# AULA: Visão Computacional
# Prof: Adriano A. Santos, DSc.
# ****************************************************************
# Importando a biblioteca OpenCV
import cv2
# Imagem
aquivo = "./imagens/raposa.jpg"
# Carregando a imagem
image = cv2.imre... |
a425355f2340bab9a0d161b77544b4cf3894409a | 89127ffe7390b949d11be911cf382be3cb3be464 | /utils/checkpoint.py | c856e92e8bc2b29dafc6e2af6e69a2778a06e132 | [
"MIT"
] | permissive | AdityaSidharta/pytorch_base | c0f28d9efab4bcb51fb01b8e2b9560cc7f8e9160 | b025e4826d94eb32380d59e7fd35bf400c2271b6 | refs/heads/master | 2022-12-10T22:17:56.029837 | 2019-01-16T08:25:18 | 2019-01-16T08:25:18 | 154,950,913 | 1 | 0 | MIT | 2022-12-08T01:34:44 | 2018-10-27T10:15:59 | Python | UTF-8 | Python | false | false | 1,377 | py | checkpoint.py | import datetime
import os
import torch
from utils.envs import model_cp_path
from callbacks.callback import CallBacks
def save_checkpoint(model, optimizer, fname=None):
if fname is None:
fname = str(datetime.datetime.now())
model_filename = "{}_model.pth".format(fname)
optim_filename = "{}_optim.... |
37f40900324c29121b6bd985f2665d066a158210 | 13a0e51148ab32acd9fcb0866f60e17dff47645a | /Homework3/Exercise9.py | 6aba94fb274fc26d0bb4c849d9bf7ccb0dd2c86e | [] | no_license | EOppenrieder/HW070172 | 7a47da36298d168a037aefc20cc535bbf6d4e8af | 34467a835ad827d9ae18dcc70b07513f018274a1 | refs/heads/main | 2023-01-20T06:05:07.315379 | 2020-11-24T09:34:42 | 2020-11-24T09:34:42 | 305,625,713 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 265 | py | Exercise9.py |
def main():
print("This program converts Fahrenheit temperatures to Celsius.")
fahrenheit = eval(input("Enter the temperature in Fahrenheit: "))
celsius = (fahrenheit - 32) * (5 / 9)
print("The temperature is",celsius,"degrees Celsius.")
main () |
4a0c3d47508591ffe6e0ecb50341097be6da8c88 | b94a4bd15bb50ccb12fecf76c5fbda5f56fa7a7f | /chimera/requests.py | 3b9a9732073b703707fec0e3f5dd20df3bbd05a1 | [] | no_license | yinkeet/chimera | 5b932c02b6dd2b33a7002fba19eeccdd2b246b5c | 53575813c6a2eb7aa8e4e1eb41fae826b8ced9fc | refs/heads/master | 2022-12-18T12:54:09.962971 | 2021-04-19T08:53:24 | 2021-04-19T08:53:24 | 186,232,074 | 0 | 0 | null | 2022-12-08T06:59:25 | 2019-05-12T08:53:39 | Python | UTF-8 | Python | false | false | 231 | py | requests.py | from asyncio import get_event_loop
from functools import partial
import requests
async def request(method, url, **kwargs):
return await get_event_loop().run_in_executor(None, partial(requests.request, method, url, **kwargs)) |
611e8cf105876e31284b27ce7a7e85b2d14c1b64 | 0ffd2dae43716fd57e63a6071f678b7cdc1cbd37 | /wh/09/2839.py | 4ccb086d2ca3129b8cddb7047bfa7c4e11b004fa | [] | no_license | wonnerky/codemaster | c849caad39a58a6c3339b1c5a733c69ba1149163 | aac45943e966f74c2b70e00b9e32004a1c6f4d39 | refs/heads/master | 2021-05-24T12:05:03.626980 | 2020-05-13T01:43:43 | 2020-05-13T01:43:43 | 253,551,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 298 | py | 2839.py | import sys
def findBag(kilo):
a = int(kilo / 5)
for i in range(a+1):
b = (kilo - ((5 * (a - i)))) / 3
if (b - int(b)) == 0:
return print(int(a-i+b))
return print(-1)
kilo = int(sys.stdin.readline().strip())
if kilo == 0:
print(-1)
else: findBag(kilo)
|
8b8fff13a4e4944b983e6b3a0c49cc80c457cd41 | 45eb9397397e7d3b512241029371ac02ffef003b | /app/api/v1/views/meetupviews.py | 8154951af5866a99c4c603bd2c6392d145867a9f | [] | no_license | da-tinker/questioner | 1aaa0e2047f6f5d41a0b2f4cfa872f13c7cb9c4f | 0a82c0a852afe457c19803f16bf5af141d8de641 | refs/heads/develop | 2020-04-15T04:04:30.614346 | 2019-01-29T17:41:28 | 2019-01-29T17:41:28 | 164,370,390 | 0 | 1 | null | 2019-01-29T17:41:29 | 2019-01-07T02:56:34 | Python | UTF-8 | Python | false | false | 3,982 | py | meetupviews.py | # Define blueprint for meetup view
from flask import Blueprint, request, jsonify, make_response
from app.api.v1.models import Meetup
from app.api.v1.utils import QuestionerStorage, validate_request_data, validate_route_param, check_is_empty, parse_request, endpoint_error_response
db = QuestionerStorage()
meetup_view... |
f94f884ae27d3ed75f4d10e846d2b7d48fa3ebc8 | 169f134442ce7f040e8a1878258c90ef9f0cbcc1 | /skivvy.py | 0ff0ad391b9f1781aa56ece1702caab15635ef0e | [] | no_license | Kazade/skivvy | 9d41b0acc934e6059d60b386cc54a0638b14f7cc | 41278fa66b559ee507862c729ad89028ccd5ae52 | refs/heads/master | 2016-09-11T04:41:31.998555 | 2014-12-05T16:36:10 | 2014-12-05T16:36:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,832 | py | skivvy.py | import os
import sys
import argparse
import json
import re
import tempfile
import subprocess
ENV_REGEX = r"(.+)\[(.+)\]"
parser = argparse.ArgumentParser(description="underling task worker")
parser.add_argument("--config", type=unicode, default="underling.json")
parser.add_argument("--env", type=unicode, default="")
... |
1af41cb711bf06f93e206a466d5f83b3dcddf18b | 98f93aea3af1ce9a8143085a30ffcbedd5e9ac29 | /src/lib/backuppool.py | 9c4bf6121868fef0cbf082be4d2ca7f47998756e | [] | no_license | austinjhunt/vanderbiltcs6381-assignment3-PUBSUBQoS | 27a50c0e5f5a5db3690a6854b98cd5a570bb62d8 | f0cc459886dd5f0a1b3707ab7c87edd4cba25539 | refs/heads/master | 2023-06-22T18:09:12.598721 | 2021-07-27T01:14:18 | 2021-07-27T01:14:18 | 384,595,629 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,384 | py | backuppool.py | """
Create this first. Backup pool of dormant brokers that automatically promote themselves to
leaders of new zones when load threshold (--load_threshold) is exceeded by current
system load read from a Zookeeper Znode (shared by all brokers for current load status updates
via watch mechanism). Backup pool brokers are n... |
fc844b5ec245b829612814b9536786a0f94c34f8 | 8b4506c8a4d334364f547047d86c1f28f81d267a | /test_browsers/test_browsers.py | e45742388146a0a8abe35059077b3aee3e282256 | [] | no_license | maslovaleksandr/selenium_tests | dcbb42566c2f2ce089f93c98ca11d92c113face3 | 70f9c02f876110f1c2d738512282ff38c9ecd3c1 | refs/heads/master | 2023-04-25T16:24:55.132627 | 2020-08-03T20:48:39 | 2020-08-03T20:48:39 | 282,196,710 | 0 | 0 | null | 2021-06-02T02:44:36 | 2020-07-24T10:59:38 | Python | UTF-8 | Python | false | false | 618 | py | test_browsers.py | from selenium import webdriver
from selenium.webdriver import FirefoxOptions, ChromeOptions
def test_browser(browser_check, url_check):
if browser_check == "chrome":
options = ChromeOptions()
options.add_argument("--kiosk")
wd = webdriver.Chrome(chrome_options=options)
wd.get(url_c... |
9c5f771ea8e411e9b84be199d0c0627139dff417 | 69fb04f43580488c6872912616f5ee6308ac9e5a | /exerciciosLista/exercicio01lista.py | 65392dc63d83897883a54d6931f09c4c605c6528 | [] | no_license | LucasQuinotto/PasswordMeter | 018650bbb7986043aeb944084aeace9a3680f6f9 | 972b65f79ab8d15be36a18a495b8d5a0c2bb61dc | refs/heads/main | 2023-04-03T22:13:15.262084 | 2021-04-14T19:59:05 | 2021-04-14T19:59:05 | 358,023,685 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 71 | py | exercicio01lista.py | x = ["Maria", 2, 47, "João"]
x.append(input("Digite algo: "))
print(x) |
4dc43cb65e179d95e8cd363b2d760f4e3fc3a7ab | 1632eb6617eff93d5583b1eca805a741d5555992 | /class5/Function.py | fed2341527f60996073f812114714edf725e1a22 | [] | no_license | shukumar-542/Django_assignment | 80ba40d14746d75b51c4623ecefad8aa5ad78703 | 2383bdd9993d57e6d507c89e6764bfe517e5c34a | refs/heads/master | 2023-07-01T00:16:05.882170 | 2021-08-05T08:24:22 | 2021-08-05T08:24:22 | 380,259,935 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 170 | py | Function.py | # def add(*args ,**kwargs):
# return kwargs
# print(add (a=10 , b= 20))
def getsome(a):
return a
def setsome(a):
b = getsome(a)
print(b)
setsome(10) |
9650824a7fe148805e924ee58004a461660fa49d | a35f3d4efcef0876248cc764a142d4b9b8aa2712 | /venv/Lib/site-packages/elem/exploit/exploit_source.py | 80b0c4326c81df582c505d86ef7702f8cb428318 | [] | no_license | arturgafizov/app_recruiment | 877d1c90eebdcde5b481fdf2c7455047f6d75249 | 3d6d9faa04f6daec042dcb079cf3fe1eecdd221a | refs/heads/master | 2023-01-28T04:45:39.542413 | 2020-12-05T10:46:52 | 2020-12-05T10:46:52 | 284,469,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,604 | py | exploit_source.py | import base64
import re
import urlparse
import os
from redteamcore import Resource
from redteamcore import ResourceConnectorFactory
CVE_STRING = r'CVE-\d{4}-\d{1,}'
CVE_PATTERN = re.compile(CVE_STRING)
class ExploitSource(Resource):
"""
ExploitSource is the source of an exploit or exploits.
"""
def __... |
896b4fdddec04cc58c02f3742f8a0742a60a17ce | bfcc6d98b488eaf0440b68da8f2dfbd71059fe14 | /djangosige/apps/estoque/migrations/0001_initial.py | 3cadae483197ddd67035ab6ce56e4e7d95473478 | [
"MIT"
] | permissive | lafitehhq/DjangoSIGE | 27547dbe94328def38e52dea314ed7ec4b4b4cd2 | b88d36d04871a28a7adea8edecf7173d3e0ae759 | refs/heads/master | 2022-12-13T03:23:06.620533 | 2018-07-16T08:29:17 | 2018-07-16T08:29:24 | 141,106,764 | 13 | 5 | MIT | 2022-12-08T02:16:46 | 2018-07-16T08:05:26 | Python | UTF-8 | Python | false | false | 6,909 | py | 0001_initial.py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2017-06-25 17:50
from __future__ import unicode_literals
from decimal import Decimal
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependen... |
8d086e01e0a6f13468a5abf16fd76f5d84332ca9 | 7bfb0fff9d833e53573c90f6ec58c215b4982d14 | /1721_swap_nodes.py | 82e83d8614a7da80e94bc1518260128da49e6f11 | [
"MIT"
] | permissive | claytonjwong/leetcode-py | 6619aa969649597a240e84bdb548718e754daa42 | 16bbf8ac0ba5c80fe3ef67ade0d61a12991270a7 | refs/heads/master | 2023-07-14T23:40:26.569825 | 2021-08-22T17:23:20 | 2021-08-22T17:23:20 | 279,882,918 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 579 | py | 1721_swap_nodes.py | #
# 1721. Swapping Nodes in a Linked List
#
# Q: https://leetcode.com/problems/swapping-nodes-in-a-linked-list/
# A: https://leetcode.com/problems/swapping-nodes-in-a-linked-list/discuss/1009772/Kt-Js-Py3-Cpp-Swap-based-upon-length-N
#
class Solution:
def swapNodes(self, head: ListNode, K: int) -> ListNode:
... |
a15ebd0afc52d22080ce9d615834eb310b3c72a9 | 5b3d8b5c612c802fd846de63f86b57652d33f672 | /Python/six_kyu/your_order.py | 812f5965a34c61599e5ad23e2e62f669bea5b160 | [
"Apache-2.0"
] | permissive | Brokenshire/codewars-projects | 1e591b57ed910a567f6c0423beb194fa7f8f693e | db9cd09618b8a7085b0d53ad76f73f9e249b9396 | refs/heads/master | 2021-07-22T18:50:25.847592 | 2021-01-25T23:27:17 | 2021-01-25T23:27:17 | 228,114,677 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,188 | py | your_order.py | # Python solution for 'Your order, please' codewars question.
# Level: 6 kyu
# Tags: Fundamentals, Numbers, and Arrays
# Author: Jack Brokenshire
# Date: 11/02/2020
import unittest
def your_order(sentence):
"""
Your task is to sort a given string. Each word in the string will contain a single number.
Thi... |
e73562e18328b6df7fdfcccdf31958062b5d71c0 | 13f549b59e333bf2cee9fbcefd025292be7499fb | /camp_health.py | c64dc46e7dcd2e733baa1621580038549b8233bd | [] | no_license | BlackLik/DinoPygame | da3bf487092ead35ffd39a70458b3c181db85309 | 9e66b53738094045cd54e13e927100c10003a2c3 | refs/heads/master | 2022-12-09T17:17:59.605080 | 2020-09-19T11:15:47 | 2020-09-19T11:15:47 | 285,225,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 445 | py | camp_health.py | # файл camp_health.py
from health import HP
# создание массива
def arr_create_health(display):
arr_set = [
HP(display, "Effects/heart.png")
]
array_hp = []
for i in range(len(arr_set) * 1):
array_hp.append(arr_set[i])
return array_hp
# прорисовка всех сердечек
def array_draw_heal... |
1c17e32b4e33ba039567e1292c760b9e56eec97e | 3ab1226c4d590b24279845cc3ca02ee60db50bef | /app1/models.py | dfaa6d17d1a9cfed4df7b8cccfa938b3672de4ce | [] | no_license | LohitakshTrehan/django-crud-app | 2b16a085ed65aa140218fffddfe2c0735995d5c9 | b4931967feb6d0c63267340fb7ca60c030a17201 | refs/heads/master | 2020-03-20T04:35:42.364729 | 2018-06-14T15:47:58 | 2018-06-14T15:47:58 | 137,188,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 856 | py | models.py | from django.db import models
from django.forms import ModelForm
# Create your models here.
class Artist(models.Model):
name = models.CharField(max_length=50,default=None)
year_formed=models.PositiveIntegerField()
#django will automaticlly show space where there is a '_'
class Album(models.Model):
name=mod... |
c0397eb62be4921e9a1f6e6cc2f866f32ab88e6f | e6b644efe2bfe21e311626dbb89a724a5bee1e9a | /NeuralNet/TempDataGen v2.0.0.py | 75fe66ae0cfc94b99dcbe82327ec87651515171f | [
"MIT"
] | permissive | mynameisevan3/ECE2195_DCA_Project | 5ffa03d20f7908c0df873f85bccb800304b03d47 | 7bdc646459dabfa5ba508258b10f8b5f6fbba638 | refs/heads/master | 2021-08-29T08:01:01.456539 | 2017-12-13T13:37:02 | 2017-12-13T13:37:02 | 111,249,166 | 0 | 1 | null | 2017-11-19T03:55:40 | 2017-11-18T23:49:15 | Python | UTF-8 | Python | false | false | 4,151 | py | TempDataGen v2.0.0.py |
#===================================#
# Temperature Sensor Data Generator #
# ECE2195 Project - Team Two #
# v2.0.0 #
#===================================#
# Imports
import math;
import random;
# Variable Initialization
SENSOR_TMIN = -50 # trained sensor minimum temp... |
bf8f258ec8692dd486b9c6fddb717209deb90b67 | b062089ddcdcf77d39bf261a67f7a845def18dbc | /030_function_I.py | 7c79fe60b16022dd3c2ed06fb802229c61b226e4 | [] | no_license | gitmaruneko/pythonPractice | 0c3720528b9268ca1b0232bb848876325471ebd2 | 9d36a01ec1ef430ab5968a3bf5721cfb33f67562 | refs/heads/master | 2021-05-24T03:04:53.401492 | 2020-06-27T22:43:22 | 2020-06-27T22:43:22 | 82,932,202 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 593 | py | 030_function_I.py | def inc(x, delta=1):
return x+delta
def print_n_add(a, b):
print('a :', a)
print('b :', b)
print('a+b:', a+b)
print()
return a+b
if __name__ == '__main__':
# default argument values
print(inc(0))
print(inc(0, 2))
print()
# keyword arguments
print_n_add(1, 2)
... |
206b3eec63225c9a2fff56d738a8464a832c8412 | 7beb0ba35e1009a57e6496c8d0d73f683322a666 | /app/rating.py | 0886b9057f3c18161273280c8bb456188f2970b2 | [] | no_license | Holajz/Image-comparison-app | 08ea5b3952c6c602c80b770b8b962f19c0ca0fe9 | 8a47a791993c5785a7f1f54711e41d63a5242886 | refs/heads/master | 2022-06-14T05:06:07.408117 | 2018-08-23T08:02:08 | 2018-08-23T08:02:08 | 144,029,896 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,691 | py | rating.py | import os
import re
import flask
from flask import (Blueprint, current_app, flash, g, redirect, render_template,
request, session, url_for)
from flask.cli import with_appcontext
from werkzeug.exceptions import abort
from app.auth import login_required
from app.db import get_db
bp = Blueprint('rati... |
46c2066723fb74b5032bc771ee62750b29a458b1 | cac234b8af280702a6d01c2a1307fb25ff3a9580 | /3.数学问题/2018.0224.math/31.距离小于100.py | 2d8b07023ecb6cfb8c3a33400f62396f4a39f4eb | [] | no_license | Benedict0819/ECNU-computer-test | 1c3f6e8bb2517b06d965335a25dd80313bf80a58 | 1bb4cad01c52267a77416415296587ab8408243f | refs/heads/master | 2020-03-29T12:00:10.648616 | 2018-03-09T10:10:25 | 2018-03-09T10:10:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 654 | py | 31.距离小于100.py | """
@Time:2018/2/24 15:27
@Author:xuzhongyou
"""
# 31. 距离小于 100!
# 定义函数 NearPoints,计算一组三维坐标点中离原点距离小于 100 的点个数。点的类型定义为:
#
# typedef struct {
# int x, y, z;
# } Point;
# Input
# 第一行一个整数 n (1≤n≤1000)。
#
# 接下来 n 行每行三个整数 xi,yi,zi (−109≤xi,yi,zi≤109)。点坐标可能重复出现。
#
# Examples
# input
# 4
# 1 2 3
# 50 50 50
# 100 0 0
# 100... |
be9fc8aa783285b09ec3f9fe42761c37afa7fe05 | cc086a96967761f520c24ce3b22bacecb673cbf2 | /chec_operator/threads/server.py | d9f2205629913fd8eb218d82628b89983bc0266a | [] | no_license | watsonjj/chec_operator | 39524405b3c6a55fe7fa3e8353da5f456f76a27d | c537a1737a53fe996652c793c09f5a33cd03e208 | refs/heads/master | 2020-04-18T02:27:52.730614 | 2019-01-23T10:41:13 | 2019-01-23T10:41:13 | 167,163,531 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 642 | py | server.py | from chec_operator.camera_server.communicator import Communicator, DummyCommunicator
from chec_operator.peripherals.pulse_generator import PulseGeneratorCommunicator
from chec_operator.camera_server.handler import ServerHandler
from time import sleep
SERVER_HANDLER = None
def poll_state(dummy, lock):
global SERV... |
790ab8bd119efdff2d88684668928532c92ef8a9 | 6ba2db3fb9088a06e077f6529281a57db30d9a2b | /U1_E5.py | a2d3ab5123386a631f83def116a1f0406fac4df3 | [] | no_license | gxgarciat/Playground-CSwithPy | 425a0c801371aaee40b9d2322187b11116163262 | 2559b301f72b3b9f92beb0dff46c971a96dd039c | refs/heads/main | 2023-06-13T21:33:40.293867 | 2021-07-11T19:10:40 | 2021-07-11T19:10:40 | 377,595,234 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,028 | py | U1_E5.py | def main():
"""
Assume s is a string of lower case characters.
Write a program that prints the longest substring of s in which the letters
occur in alphabetical order. For example, if s = 'azcbobobegghakl',
then your program should print Longest substring in alphabetical order is: beggh
In the ... |
8a1c44d70a7cfd83deeedc98eff9c36f263d9734 | 5a33bbd665eb1361892356860cc0f306adf9890f | /MachineLearning-master/AccuracyFinder/compare.py | 5c0499679e9380c0fdbb22c700ef8424d422ceb1 | [] | no_license | dhs29/Machine_Learning_Scratch_Algorithms | a173944dbdc6905d9554c5d1bcb8b8f63b9b2feb | f0ae8b83940b3031adba039d160578d4df3da5c7 | refs/heads/master | 2022-09-25T18:12:17.349942 | 2020-06-02T23:13:25 | 2020-06-02T23:13:25 | 237,319,135 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,440 | py | compare.py | import sys
##############################
#### reading label file ######
##############################
datafile = sys.argv[1]
f = open(datafile)
label = {}
n0 = [0, 0]
l = f.readline()
while (l != ''):
a = l.split()
label[int(a[1])] = int(a[0])
l = f.readline()
n0[int(a[0])] += 1
# l2 = []
# for j ... |
256af3c0bb9d38eb3fc2f1a05155cc864d13ae0d | 2d211388c0eef6205665e25075e77ef3b2916b90 | /fitting_and_sensitivity/fit_FCepsilonRI_to_Grb_main.py | b342a0c190fc8b8932c5a19fbb6ff70865c38c55 | [] | no_license | alysclark/pmr-571-modNK | 40edfeb602cdf59a08049f352ddea1fc0559215f | b6c5563ee6fd5fd24b6d795b7bedf8e36178e86b | refs/heads/develop | 2023-03-02T19:55:01.587960 | 2019-05-05T22:27:32 | 2019-05-05T22:27:32 | 283,340,494 | 0 | 2 | null | 2021-02-15T14:28:57 | 2020-07-28T22:21:33 | Python | UTF-8 | Python | false | false | 13,033 | py | fit_FCepsilonRI_to_Grb_main.py | from collections import OrderedDict
import numpy as np
import OpenCOR as oc
from SALib.sample import saltelli
import math
from matplotlib import pyplot as plt
from scipy.optimize import curve_fit, minimize,least_squares
class Simulation(object):
def __init__(self,*args):
self.args = dict(args)
se... |
05af00cdda2c856f92af09d9371d81784c7c06f5 | a5fe9ee1b548a3a3db2944febe100afd3837ffb5 | /passwordhack.py | 2639ae62ce252f50d17916197688046b8d7a3ba5 | [] | no_license | AnnaKurb/Anya | 3fa2cec009e51b3489cd9192ffc58f2126edbe70 | 6407f29fda89e22e3ed1432e9de422243ca170ff | refs/heads/main | 2023-04-23T08:12:29.905039 | 2021-05-22T10:10:45 | 2021-05-22T10:10:45 | 323,917,135 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 878 | py | passwordhack.py | data_base = {
"Anya": "1234567890",
"sosiska": "qwerty"
}
def check_password(login, password):
if login in data_base:
if data_base[login] == password:
return True
return False
#
# else:
# return"неверный пароль"
# else:
# r... |
f0aca6b950992c325d5ff4a71f787b2f0412b6af | eb1148f75215739a7ca5ba35027fe46b9dcc5e30 | /Study/BOJ_2023_신기한소수_이정민.py | 63e74c4a4008e3741a39b648aba17ad16579ce32 | [] | no_license | ljm9748/Algorithm_ProblemSolving | 8ee594c0d1226ebe3670e772a7fc1c08ddf62e43 | d1ebc34019ae2d795417ef47f74f1407a7f3cb9e | refs/heads/master | 2023-05-02T20:00:01.784017 | 2021-04-26T13:57:29 | 2021-04-26T13:57:29 | 339,901,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 674 | py | BOJ_2023_신기한소수_이정민.py | import sys
input = sys.stdin.readline
# 처음에는 소수리스트를 만들어 시도하였으나 시간초과나 나서 재시도
N=int(input())
# 소수인지 판별
def isSosu(num):
if num==0 or num==1:
return False
else:
for i in range(2,int(num**0.5)+1):
if num%i==0:
return False
return True
# 한자릿수씩 붙여나가며 소수추가
def DFS... |
ff6f2446b65bc28c4d17fa7a0447a5fb781c5494 | 31e2da2206b7ad76795bfb045b7440be53034d75 | /scorched/tests/test_strings.py | adcaf8ce469a310fe4c774a1f669c3df0dba1e06 | [
"MIT"
] | permissive | lugensa/scorched | 5cbcfcf3fefdd7ec3a261d60145491d0cca61b80 | a1ca2970085c01bcde2177cee6e67b9dc40b86c6 | refs/heads/master | 2022-05-24T09:52:12.943022 | 2022-03-21T10:36:56 | 2022-03-21T10:36:56 | 17,622,819 | 25 | 22 | MIT | 2021-06-28T14:36:13 | 2014-03-11T08:09:34 | Python | UTF-8 | Python | false | false | 1,418 | py | test_strings.py | import unittest
from scorched.search import LuceneQuery
from scorched.strings import RawString, WildcardString
class TestStrings(unittest.TestCase):
def test_string_escape(self):
"""Ensure that string characters are escaped correctly for Solr queries."""
test_str = '+-&|!(){}[]^"~*?: \t\v\\/'
... |
844453003551a4f3556747492a938a65a468421a | 3b16eae63a1ced0ba96cd92e1df52fc37c7cd570 | /src/gistsgetter/app.py | 55454283c60ef0107317118c446ed4395d8f58a5 | [
"MIT"
] | permissive | pmfrank/gistsgetter | 0a9d6ac16db71080c7880f906e796e80a305ff2f | a19f59604ebf1cb13c641d25c4461b4347bba58a | refs/heads/master | 2020-12-20T22:59:32.374442 | 2020-01-29T01:20:12 | 2020-01-29T01:20:12 | 236,120,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,464 | py | app.py | """
An application dedicated to creating, editing, and deleting Gists in GitHub
"""
from __future__ import absolute_import
import toga
import pyperclip
from toga.style import Pack
from toga.style.pack import COLUMN, ROW
from .common.Search import search
from functools import partial
class GistsGetter(toga.App):
d... |
16a4bb29280de4e3caaea2d2b01fe707fccb1d19 | d651c1a970fd373cc15e64b1e037f7f6f667826c | /oct/cli/util/click.py | a25a6e66e0498e1de7de901f666f2c25d3b1f59e | [
"Apache-2.0"
] | permissive | openshift/origin-ci-tool | f84cb8e4808b462cf0f49e1f434706cf252ab9e1 | 79bdeef38ee3e9dab89551fa8741ee97271649c5 | refs/heads/master | 2023-08-26T03:23:52.441958 | 2022-01-30T01:50:29 | 2022-01-30T01:50:29 | 65,563,246 | 23 | 52 | Apache-2.0 | 2022-01-30T01:50:30 | 2016-08-12T15:24:53 | Python | UTF-8 | Python | false | false | 308 | py | click.py | # coding=utf-8
from __future__ import absolute_import, division, print_function
from click import echo
def quiet_echo(quiet, msg):
"""
Optionally output a message via click.echo
:param quiet: suppress output if True
:param msg: string to output
"""
if not quiet:
echo(msg)
|