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values | gha_event_created_at timestamp[us]date 2012-06-04 01:52:49 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[us]date 2008-05-22 07:58:19 2023-08-21 12:35:19 ⌀ | gha_language stringclasses 147
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8e39496238ae7abc1a45eade812fa000e74ef3bb | 11e81ec279ec17196bdbc75ce334305e95929b52 | /8주차 이분탐색,그래프/파티/김승욱.py | 526773d77fb4084503893cb8d8223ccb823b07d7 | [] | no_license | wheejoo/PythonCodeStudy | 70992e1723d621fec933786dd2b3faa5d2518763 | 9e324f9deee1be044c07b64e7480c6bfac42876c | refs/heads/main | 2023-07-28T23:11:19.335117 | 2021-10-03T11:37:09 | 2021-10-03T11:37:09 | 382,866,256 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 1,227 | py | # x를 시작으로 가장 먼곳 간다음 그 곳에서 다시 x까지 거리 구하려햇는데
# 왕복 거리가 다르므로 이렇게 풀면 안됨
# 모든 정점에서 x까지 최단거리 구하고
# 다시 x에서 모든 거리까지 최단거리 구해서 서로 더한다음
# 가장 큰 값구함
import heapq
import sys
input = sys.stdin.readline
n, m, x = map(int,input().split())
INF = sys.maxsize
grpah = [[] for _ in range(n+1)]
maxx = 0
for i in range(m):
a,b,c = map... | [
"[email protected]"
] | |
ddc056b2b37e8b40bdb6264c89407197605144ef | 566ce57c0a56a492895dc5b2e4b7ae1b49b301dd | /job/urls.py | 2ca32cf10b8d4220993e331027bcaabdfa5591c6 | [] | no_license | ingafter60/job-portal | 178e81c0f1d3fc4527242cf8c9bcc29c5d413ac9 | 6af2460927a29c914df74ea10172a731fcd528c6 | refs/heads/master | 2022-11-26T09:27:23.543390 | 2020-07-15T03:40:47 | 2020-07-15T03:40:47 | 279,142,881 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 214 | py | # job/urls.py
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('users/', include('users.urls')),
path('', include('jobs.urls')),
path('admin/', admin.site.urls),
] | [
"[email protected]"
] | |
68adf7e197ced3869d0d0a33c74355024394305e | 0beaf9d78d03100b2aebaaac38fb343d425f2b6a | /tests/regression/gsheet/test_chrome_gsheet_100r_number_chars_image.py | bc85a9757ae1b561082d29b318d73a1b600482a8 | [] | no_license | digitarald/Hasal | 462fc044bb4a754c8d76c0bfb0df519f1786fdcc | c496afae6ec2e3743148f3a6288b78f120100513 | refs/heads/master | 2021-01-13T14:29:44.471037 | 2016-11-04T10:49:19 | 2016-11-04T10:49:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 459 | py | from lib.perfBaseTest import PerfBaseTest
class TestSikuli(PerfBaseTest):
def setUp(self):
super(TestSikuli, self).setUp()
def test_chrome_gsheet_100r_number_chars_image(self):
self.test_url = self.env.GSHEET_TEST_URL_SPEC % self.env.TEST_TARGET_ID_100R_NUMBER_ENCHAR_IMAGE
self.sikul... | [
"[email protected]"
] | |
f89f2605057672e195be30599e8b17bd6843fffa | 3b84c4b7b16ccfd0154f8dcb75ddbbb6636373be | /google-cloud-sdk/lib/googlecloudsdk/command_lib/container/gkeonprem/flags.py | 65a11cb83a4f743b2ab1aef526415180dfa7ce70 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | twistedpair/google-cloud-sdk | 37f04872cf1ab9c9ce5ec692d2201a93679827e3 | 1f9b424c40a87b46656fc9f5e2e9c81895c7e614 | refs/heads/master | 2023-08-18T18:42:59.622485 | 2023-08-15T00:00:00 | 2023-08-15T12:14:05 | 116,506,777 | 58 | 24 | null | 2022-02-14T22:01:53 | 2018-01-06T18:40:35 | Python | UTF-8 | Python | false | false | 3,400 | py | # -*- coding: utf-8 -*- #
# Copyright 2022 Google LLC. 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 requir... | [
"[email protected]"
] | |
02cc868019621649a62b17392c2f8891804a69a6 | 696e35ccdf167c3f6b1a7f5458406d3bb81987c9 | /mash/DEPS | 681fd163d9adfc6508b88a7df485d548ae8c59da | [
"BSD-3-Clause"
] | permissive | mgh3326/iridium-browser | 064e91a5e37f4e8501ea971483bd1c76297261c3 | e7de6a434d2659f02e94917be364a904a442d2d0 | refs/heads/master | 2023-03-30T16:18:27.391772 | 2019-04-24T02:14:32 | 2019-04-24T02:14:32 | 183,128,065 | 0 | 0 | BSD-3-Clause | 2019-11-30T06:06:02 | 2019-04-24T02:04:51 | null | UTF-8 | Python | false | false | 279 | include_rules = [
"+ash/public",
"+components/prefs",
"+components/viz/common",
"+mojo/converters",
"+mojo/public",
"+services/catalog/public",
"+services/service_manager",
"+services/ws/common",
"+services/ws/public",
"+third_party/skia/include",
"+ui",
]
| [
"[email protected]"
] | ||
6a83f1a2c02e53428cf6622fc3cc28737370842f | c47340ae6bcac6002961cc2c6d2fecb353c1e502 | /test/test_known_hosts.py | 1c2c8b6867e85b61f8a35c508543f3fccb4a802f | [
"MIT"
] | permissive | rafaeldelrey/controlm_py | 6d9f56b8b6e72750f329d85b932ace6c41002cbd | ed1eb648d1d23e587321227217cbfcc5065535ab | refs/heads/main | 2023-04-23T09:01:32.024725 | 2021-05-19T00:25:53 | 2021-05-19T00:25:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 871 | py | # coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.20.115
Contact: [email protected]
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import con... | [
"[email protected]"
] | |
c0367113441a8db2c3f75729fd8ff004260f1624 | fdbcbb95a34e05e015c3ece6a071b04915c70346 | /code_interview/settings.py | abae8f9ec0cbf5a01bc576629629e91621ec3687 | [
"Apache-2.0"
] | permissive | nonbeing/codeinterview-backend | ed0e8f4d4dddbc25e235a817cfbc22e491c5c5c9 | f44a592640a4a663daebef06561063c062c8acb0 | refs/heads/master | 2022-09-04T11:28:04.105984 | 2020-06-01T05:13:22 | 2020-06-01T05:13:22 | 268,828,769 | 1 | 0 | Apache-2.0 | 2020-06-02T14:49:35 | 2020-06-02T14:49:35 | null | UTF-8 | Python | false | false | 3,870 | py | import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = 'j%4s9n79np!^nrq3&h4=6a8r2c^ex9s)gg3s(zsx((o@qll2yj'
DEBUG = True
ALLOWED_HOSTS = []
# Celery config
CELERY_BROKER_URL = 'pyamqp://'
CELERY_RESULT_BACKEND = 'redis://'
CELERY_TASK_ROUTES = {
# WARNING: room.tasks stil... | [
"[email protected]"
] | |
3e02711859000bf568d3065860caad09b02d70f6 | 8aa5b087176a5de567664a9377eda56641cda628 | /binaryapi/ws/chanels/contract_update_history.py | 3a6a664953571745700447201f3bdf44426e7027 | [] | no_license | pabloapdz/binaryapi | ce55d2f4d125b2725ae0c5b23b953521c792cf27 | c2cca1ec144d10b885df7aeda03c7c63dbe673de | refs/heads/master | 2022-11-19T16:10:04.567328 | 2020-07-23T03:00:40 | 2020-07-23T03:00:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,316 | py | """Module for Binary contract_update_history websocket chanel."""
from binaryapi.ws.chanels.base import Base
# https://developers.binary.com/api/#contract_update_history
class ContractUpdateHistory(Base):
"""Class for Binary contract_update_history websocket chanel."""
name = "contract_update_history"
... | [
"[email protected]"
] | |
2fba0ba36775b47980f0366230afbcb1da18fd79 | 749efa5eb1ea53a5372b31832ed74d85dc15f641 | /temporal_graph/structure_network/structure_graph.py | 75ee3f2cae8ea41f57d59fa4cfb7acf6a2211fdc | [] | no_license | summukhe/TemporalGraph | ac8f7be103620b5d53aeae6e6f462d2f74cd5f8c | 722fedaf737950ac32d4dabd830afbd241a03a2c | refs/heads/master | 2020-05-05T03:17:05.918359 | 2019-06-01T05:40:49 | 2019-06-01T05:40:49 | 179,666,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,220 | py | import numpy as np
from copy import deepcopy
from temporal_graph.network_analysis import GeometricGraph3d
from temporal_graph.spatial_ds import *
from temporal_graph.pdb_processor import *
from temporal_graph.force_field import *
__version__ = "1.0"
__all__ = ['contact_graph',
'potential_contact_graph',
... | [
"[email protected]"
] | |
58e4e79d5aff5d675c44d475f8eb78c71f373b12 | 20d9130fdc21756c4f8fe255583922352f5c5762 | /src/DIRAC/DataManagementSystem/Service/LcgFileCatalogProxyHandler.py | ba7ea68222b2cc3e09dd20556e2c46165ff46f1b | [] | no_license | bopopescu/bes3-jinr | 095314e43f41f08bd48b248fe3ca627a5c009f58 | fdfd852c92a56192b8ee9970b66f0136e6e0afff | refs/heads/master | 2022-11-26T06:01:36.718508 | 2014-03-17T06:03:50 | 2014-03-17T06:03:50 | 282,113,617 | 0 | 0 | null | 2020-07-24T03:30:10 | 2020-07-24T03:30:09 | null | UTF-8 | Python | false | false | 3,628 | py | ########################################################################
# $HeadURL $
# File: LcgFileCatalogProxyHandler.py
########################################################################
""" :mod: LcgFileCatalogProxyHandler
================================
.. module: LcgFileCatalogProxyHandler
... | [
"[email protected]"
] | |
ff091989b08d7360d35edcde8d929dbfa9826630 | 185960fa68ac9ff6377eff50e3afc3900827c264 | /one_model_n_data.py | 29e8ab68e888ca6f56013c0a4b34873b52af055a | [] | no_license | enjoysport2022/Incident_Detection | 0a9158e163ff5c74c7d2bb1ebae6fad8adb53de4 | 87b6848ae3f038e7eab9c0c40c0ea19efa27208c | refs/heads/master | 2023-02-22T11:29:00.385996 | 2015-12-07T03:21:07 | 2015-12-07T03:21:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,730 | py | # -*- coding: UTF-8 -*-
#运行程序需要安装numpy,scipy,sklearn
# 需要导入的库：
import time
import requests
import conf
start=time.clock()
import csv
from sklearn.svm import SVC
import numpy as np
from sklearn import preprocessing,neighbors
from sklearn.cross_validation import train_test_split
from sklearn.metrics import confusion_mat... | [
"[email protected]"
] | |
280d992fa5b09c52dc7e19f51da135e40cdd64ec | d93fe0484fc3b32c8fd9b33cc66cfd636a148ec4 | /AtCoder/ABC-C/112probC3.py | c3bbb316c6ac065245c203087a439022efbf8c8b | [] | no_license | wattaihei/ProgrammingContest | 0d34f42f60fa6693e04c933c978527ffaddceda7 | c26de8d42790651aaee56df0956e0b206d1cceb4 | refs/heads/master | 2023-04-22T19:43:43.394907 | 2021-05-02T13:05:21 | 2021-05-02T13:05:21 | 264,400,706 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 647 | py | N = int(input())
P = [list(map(int, input().split())) for _ in range(N)]
for cx in range(101):
for cy in range(101):
H = -1
ok = True
for x, y, h in P:
if h == 0:
continue
Hi = abs(x-cx) + abs(y-cy) + h
if H == -1:
H = Hi
... | [
"[email protected]"
] | |
388b1376ecae66dea21f6eb31224085c51938a87 | 426f216e3d38d2030d337c8be6463cc4cd7af6c3 | /day08/monitor/server/conf/services/generic.py | abc781d82c426c6dae6cf7b1f236a2e0e65bc7f2 | [
"Apache-2.0"
] | permissive | zhangyage/Python-oldboy | c7b43801935fc9e08e973ee0b852daa8e8667fb7 | a95c1b465929e2be641e425fcb5e15b366800831 | refs/heads/master | 2021-01-23T02:59:37.574638 | 2019-10-27T05:35:58 | 2019-10-27T05:35:58 | 86,039,220 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 364 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
'''
通用的
定义的是基本的监控项目 service
'''
class BaseService(object):
def __init__(self):
self.name = 'BaseService'
self.interval = 300 #监控间隔
self.last_time = 0
self.plugin_name = 'your_plugin' #监控插件
self.triggers = {} #监控阈值 | [
"[email protected]"
] | |
3af48aef1784b977a278aaf5bba88fe616c0c1b5 | cc64a1dfa57d4b667129efdadb97506bafce73f0 | /letsencrypt-nginx/setup.py | a37b8222b05d005279f96320447da3dd50ac18f6 | [
"Apache-2.0",
"MIT"
] | permissive | ryanwinchester-forks/letsencrypt | 83e027e3f4e78c5b4fad5fc3cc5676d2cde1f8e9 | 9bff9c0edf0f1fa28684332c17729473aa42ebca | refs/heads/master | 2021-01-18T02:00:13.041678 | 2015-10-20T16:43:55 | 2015-10-20T16:43:55 | 44,626,314 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,631 | py | import sys
from setuptools import setup
from setuptools import find_packages
version = '0.1.0.dev0'
install_requires = [
'acme=={0}'.format(version),
'letsencrypt=={0}'.format(version),
'PyOpenSSL',
'pyparsing>=1.5.5', # Python3 support; perhaps unnecessary?
'setuptools', # pkg_resources
'... | [
"[email protected]"
] | |
ae580464cc83075118e66de8f98e34b16370cc90 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/fractions_20200802121517.py | abb8224836def842553093f1a7ab4d84e93a4fd7 | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,432 | py | def fractions(numerator,denominator):
if denominator == 0 :
return str(numerator)
number = numerator / denominator
if numerator % denominator == 0:
return str(numerator // denominator)
newStr = str(number)
print(newStr)
largeStr = newStr.split(".")
if len(largeStr[1]) > 1:
... | [
"[email protected]"
] | |
aed016ed1a15167c9ddb335b87695a86c7f128b7 | 0738d9f85b98a7e30d7f33b4fe94ceb58f44b123 | /Algorithm/Backtracking/Python/N_queen_problem.py | 69015ddf23b8dd022f18b5baa90d480ccbfc7420 | [] | no_license | arifkhan1990/Competitive-Programming | e51606b6bafc0671e8799df4297529b27eb6488e | 9b8ca6e8f2ec4c74ea314e8d80657ac97489a315 | refs/heads/master | 2022-10-28T19:31:16.818123 | 2022-10-14T21:32:51 | 2022-10-14T21:32:51 | 199,027,360 | 5 | 4 | null | null | null | null | UTF-8 | Python | false | false | 778 | py | def solveNQ(n):
col = set()
posDiag = set() # r+c
negDiag = set() # r-c
ans = []
board = [['0'] * n for _ in range(n)]
def backtraking(r):
if r == n:
copy = ["".join(r) for r in board]
ans.append(copy)
return
for c in range(n... | [
"[email protected]"
] | |
2e559d799618df295505bb747e712d4de41097c4 | 09efb7c148e82c22ce6cc7a17b5140aa03aa6e55 | /env/lib/python3.6/site-packages/pandas/tests/tslibs/test_parse_iso8601.py | a6e7aee46b485b6b524f363351f1bb011b8b0b0e | [
"MIT"
] | permissive | harryturr/harryturr_garmin_dashboard | 53071a23b267116e1945ae93d36e2a978c411261 | 734e04f8257f9f84f2553efeb7e73920e35aadc9 | refs/heads/master | 2023-01-19T22:10:57.374029 | 2020-01-29T10:47:56 | 2020-01-29T10:47:56 | 235,609,069 | 4 | 0 | MIT | 2023-01-05T05:51:27 | 2020-01-22T16:00:13 | Python | UTF-8 | Python | false | false | 2,108 | py | from datetime import datetime
import pytest
from pandas._libs import tslib
@pytest.mark.parametrize(
"date_str, exp",
[
("2011-01-02", datetime(2011, 1, 2)),
("2011-1-2", datetime(2011, 1, 2)),
("2011-01", datetime(2011, 1, 1)),
("2011-1", datetime(2011, 1, 1)),
("201... | [
"[email protected]"
] | |
ea41839b6a0a26d593362635192d222831c3f1b4 | 18ad97292b34a679b8dea8a85090541c5bbf6174 | /candlebox.py | 72e9d35d1aae4302ce3baca36368789c9c7073a3 | [] | no_license | Jyotirm0y/kattis | b941044e39dc36d169450480fc33fd33bd2e0f8e | 2b9c1819ba29419bbea3db2e8ad7851155abbb3a | refs/heads/master | 2023-05-31T21:11:38.350044 | 2021-06-12T08:21:47 | 2021-06-12T08:21:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 204 | py | import math
d = int(input())
r = int(input())
t = int(input())
x = math.ceil(math.sqrt(2*(r+6)))
y = x - d
while (x*(x+1)//2)-6 + (y*(y+1)//2)-3 != r + t:
x -= 1
y -= 1
print(r-((x*(x+1)//2)-6))
| [
"[email protected]"
] | |
9684ed8877dc1d5f50b40a958207c71a45c2687a | 259cc507d97bfeff84d21de3a0ab56640676a9eb | /venv1/Lib/site-packages/tensorflow/contrib/eager/python/datasets.py | f9b6f54e4482a424f8f775e0fbbf659cfb0a31e7 | [
"MIT",
"Apache-2.0"
] | permissive | Soum-Soum/Tensorflow_Face_Finder | c3ef71b6f718f6720b80f8760d28b6ca6e11e6d2 | fec6c15d2df7012608511ad87f4b55731bf99478 | refs/heads/master | 2020-03-22T20:31:39.606644 | 2018-07-12T13:47:56 | 2018-07-12T13:47:56 | 140,607,068 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,168 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"[email protected]"
] | |
66358a8cd5f8c3683912d15e44b84dc84ab92762 | 0b2ffe7092e4008c73fdbf8791d107a2ce583c5d | /terraform_builder/release.py | e459a6e688e3c9d51565d16f56827ef2e2a73d4d | [
"MIT"
] | permissive | mrlesmithjr/terraform-builder | 1f960741ca5a37a862e2498b8ad81a31dffc13b2 | 08ed71333e988682ce50c6ef865fdd8ba27de395 | refs/heads/master | 2022-10-16T03:05:34.351002 | 2020-06-19T03:53:53 | 2020-06-19T03:53:53 | 248,327,103 | 8 | 0 | MIT | 2022-09-30T20:02:28 | 2020-03-18T19:43:30 | Python | UTF-8 | Python | false | false | 160 | py | """terraform_builder/release.py"""
# Version tracking for package.
__author__ = 'Larry Smith Jr.'
__version__ = '0.1.0'
__package_name__ = 'terraform_builder'
| [
"[email protected]"
] | |
bcabfd47909ebc6b12e84806dd30400748c428f8 | 60aae6fe961b6fadcbefa0154976012e84d29e6a | /molotov/tests/example5.py | 4228ca09bfcc30279829df5c3a827295e5b6c979 | [
"Apache-2.0"
] | permissive | tarekziade/molotov | 33aefd27e08be35b0f010a4d125f287e798a24c2 | 27f7599d9d04d86964878f3cac78e91c8b231d61 | refs/heads/main | 2023-08-03T12:07:54.036876 | 2023-07-18T06:58:50 | 2023-07-18T06:58:50 | 35,025,578 | 45 | 4 | Apache-2.0 | 2023-07-20T16:33:12 | 2015-05-04T09:17:25 | Python | UTF-8 | Python | false | false | 534 | py | """
This Molotov script demonstrates how to hook events.
"""
import molotov
@molotov.events()
async def print_request(event, **info):
if event == "sending_request":
print("=>")
@molotov.events()
async def print_response(event, **info):
if event == "response_received":
print("<=")
@molot... | [
"[email protected]"
] | |
1d65e5ff19c250a211d18eccd6cf2e6535690ff3 | 17c0eeede746d8dc164d27ef1f1eea3167aa0484 | /array/215.kth_largest.py | 0fce094deb14b5fdfde0e6bb5179c82d2c0c7d95 | [] | no_license | mirzasaad/leetcode-solutions | a778c70e6ea5a94f9874fb90ec24d16d877ca5f2 | 53a3eb91411d5b732c91cbe7dafe44ed0ea7335f | refs/heads/master | 2022-12-11T11:45:57.830633 | 2020-09-03T16:23:01 | 2020-09-03T16:23:01 | 264,158,622 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,190 | py | def findKthLargest(self, nums: List[int], k: int) -> int:
def partition(A, lo, hi):
pivot = A[hi]
left = lo
for i in range(lo, hi):
if A[i] < pivot:
A[left], A[i] = A[i], A[left]
left += 1
A[left], A[hi] = A[hi], A[left]
return left
lo, hi... | [
"[email protected]"
] | |
7ab2d68fe32381cc7e34646cb4a849d9d429ff60 | 9981e61fd113fac5af9825b78b57617e001160e0 | /test/test/spiders/dmoz_spider.py | a88147643fae839c825207112f340fcb96388b17 | [] | no_license | yfjelley/scrapy | 9191ee94e4ed3732287bd040b5d2d2c16476ec12 | dc9f1dc1e76603ea623e0ab9608084f0aedba802 | refs/heads/master | 2020-03-29T12:02:38.981328 | 2014-09-30T08:29:28 | 2014-09-30T08:29:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 427 | py | from scrapy.spider import Spider
class DmozSpider(Spider):
name = "dmoz"
allowed_domains = ["dmoz.org"]
start_urls = [
"http://www.dmoz.org/Computers/Programming/Languages/Python/Books/",
"http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/"
]
def parse(self, ... | [
"[email protected]"
] | |
38b7548ce83a179d7b6f7597294f350513664810 | d7516481db51c31ae1690892a4bb19246c831ac4 | /examples/reinforcement_learning_examples/dueling_ddqn_cartpole.py | 4ebc65acb4014e727a5930cfdab6c1a1c501ad0b | [
"MIT"
] | permissive | gyunt/polyaxon | 0f7c3b026635ad62d28316bf68fc806c51fc4ccb | 0c99cca9ae9a2a4e957febe1970bf6508225f292 | refs/heads/master | 2021-09-01T07:02:51.453682 | 2017-12-20T23:02:37 | 2017-12-20T23:02:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,293 | py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from polyaxon_schemas.losses import HuberLossConfig
from polyaxon_schemas.optimizers import SGDConfig
from polyaxon_schemas.rl.explorations import DecayExplorationConfig
import polyaxon as plx
import tensorflow as tf
def main(*... | [
"[email protected]"
] | |
29ad398e603eb50a181b953682529ba792218ca0 | a8750439f200e4efc11715df797489f30e9828c6 | /HackerEarth/lcs_3.py | dbc637ba24752327cc743e3495ecfbebd8558e33 | [] | no_license | rajlath/rkl_codes | f657174305dc85c3fa07a6fff1c7c31cfe6e2f89 | d4bcee3df2f501349feed7a26ef9828573aff873 | refs/heads/master | 2023-02-21T10:16:35.800612 | 2021-01-27T11:43:34 | 2021-01-27T11:43:34 | 110,989,354 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 394 | py | def longest_increasing_subsequence(d):
'Return one of the L.I.S. of list d'
l = []
for i in range(len(d)):
l.append(max([l[j] for j in range(i) if l[j][-1] < d[i]] or [[]], key=len)
+ [d[i]])
return max(l, key=len)
if __name__ == '__main__':
for d in [[4,2,6,3,8]]:
... | [
"[email protected]"
] | |
8b80f1b6b8ed8568ac76e0489c295bc5f828cb2f | e23a4f57ce5474d468258e5e63b9e23fb6011188 | /125_algorithms/_exercises/templates/_algorithms_challenges/codewar/_CodeWars-Python-master/solutions/All_that_is_open_must_be_closed.py | d1806dce261468de3df26a597cc6e422df9c3fe6 | [] | no_license | syurskyi/Python_Topics | 52851ecce000cb751a3b986408efe32f0b4c0835 | be331826b490b73f0a176e6abed86ef68ff2dd2b | refs/heads/master | 2023-06-08T19:29:16.214395 | 2023-05-29T17:09:11 | 2023-05-29T17:09:11 | 220,583,118 | 3 | 2 | null | 2023-02-16T03:08:10 | 2019-11-09T02:58:47 | Python | UTF-8 | Python | false | false | 1,259 | py | """
All that is open must be closed...
http://www.codewars.com/kata/55679d644c58e2df2a00009c/train/python
"""
___ is_balanced(source, caps
count # dict
stack # list
___ c __ source:
__ c __ caps:
i caps.i.. c)
__ i % 2 __ 0:
__ caps[i] __ caps[i + 1]:
... | [
"[email protected]"
] | |
7bb259878309e08221c4eed095a0919d1ca02770 | 314cf05e7acdfb2b83bf4a56de4ee65310bd28f2 | /tests/outcomes/plot/bar/universal_tests/data_simple/matplotlib_x_column_string_plt.py | c460d965e0851ce752035f391d3b6331c3e2f2a1 | [] | no_license | hyperskill/hs-test-python | 9f0201904cb68f3eb35275bb0c3b9bb70164a1e7 | 260313395d0534d148738e031753eb8f60de2e13 | refs/heads/master | 2023-05-10T17:49:26.400853 | 2023-04-26T11:49:52 | 2023-04-26T11:49:52 | 214,279,373 | 20 | 7 | null | 2023-04-26T11:49:53 | 2019-10-10T20:28:03 | Python | UTF-8 | Python | false | false | 343 | py | def plot():
try:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
except ModuleNotFoundError:
return
df = pd.DataFrame(np.array([[1, 2], [2, 3], [3, 4], [4, 5], [5, 6]]),
columns=['one', 'two'])
plt.bar(df['one'], df['two'])
... | [
"[email protected]"
] | |
73af4638f94ae74093fb40dec034e500c1ac23d7 | 5b3bd326998606188b45a7870852643eda024a97 | /utils/test_utils_test.py | 9ad7254bc0a5ca873d88901f4d4b83e24ee085cc | [] | no_license | KuznetsovIllya/clearml_od_toy | 31556d0726d15a054c1c18317c361d97801381a4 | 92f15f04a023d4e0e165a250fddc3129144913d0 | refs/heads/main | 2023-04-11T05:55:56.248478 | 2021-04-14T15:59:40 | 2021-04-14T15:59:40 | 357,827,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:27f15ba16a39d8a04be71ec29510f423d102dac19cdfa5d0e7f09e8e55f55b4b
size 3328
| [
"[email protected]"
] | |
883988c4f6204ea5858a3976c048f2751e24b4f0 | 0c66e605e6e4129b09ea14dbb6aa353d18aaa027 | /diventi/feedbacks/migrations/0006_auto_20181007_2139.py | b9a3a92a2f8c2db58839655d1c35c38662b0de2a | [
"Apache-2.0"
] | permissive | flavoi/diventi | 58fbc8c947f387cbcc1ce607878a59a6f2b72313 | c0b1efe2baa3ff816d6ee9a8e86623f297973ded | refs/heads/master | 2023-07-20T09:32:35.897661 | 2023-07-11T19:44:26 | 2023-07-11T19:44:26 | 102,959,477 | 2 | 1 | Apache-2.0 | 2023-02-08T01:03:17 | 2017-09-09T14:10:51 | Python | UTF-8 | Python | false | false | 556 | py | # Generated by Django 2.0.8 on 2018-10-07 19:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('feedbacks', '0005_auto_20181007_1951'),
]
operations = [
migrations.RemoveField(
model_name='question',
name='survey... | [
"[email protected]"
] | |
dd362d139002a4217fdd1735daa4f34396aee423 | efceab61588936151e49bf9311fe6f949cdd81c8 | /context_utils/regression_analysis/contexts/feature_weights.py | 55efd2312a5d416e950262951e999744467a7568 | [] | no_license | GiovanniCassani/distributional_bootstrapping | c74b4dddcb91a083c8cc0c55263228bc1acff54c | 324176f659835a29cfd6859febb570e99c1bad31 | refs/heads/master | 2021-03-19T11:45:38.364181 | 2018-09-10T15:24:37 | 2018-09-10T15:24:37 | 113,855,663 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,348 | py | __author__ = 'GCassani'
"""Compute feature weights for the relevant contexts given an input co-occurrence vector space"""
import os
from collections import defaultdict
def compute_feature_weights(training_space, output_file):
"""
:param training_space: the path to a file containing the co-occurrence coun... | [
"[email protected]"
] | |
7ed3e17232f1e18ac0f0b32b4082aea884541ced | a1e6c25d701eacb0dd893802f7d3db316768dbc4 | /featureExtrator/feature_extractor.py | e461e884f6bcae25d455741367a851a7a26da379 | [] | no_license | zhengchengyy/BBDataProcessing | c04f5053266881116f1ab764041f7fd4901561ab | 5d4f98e4b4b7d7e98db2677d00b618d2bb6a74c8 | refs/heads/master | 2021-07-20T22:31:28.894304 | 2020-05-17T14:04:30 | 2020-05-17T14:04:30 | 165,455,028 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,672 | py | '''
修改原有的feature_extractor文件，将按次数处理获得的数据改为按时间段处理
新增以及改变的代码均使用两行------标识
使用观察者模式实现特征提取，特征提取器(Subject)依赖于多个特征提取模块(Observer)，特征提取器注册了多个特征提取模块，
当特征提取器状态改变(获取到新数据)，通知所有特征模块更新状态(计算新的特征值)。
'''
from abc import ABC, abstractmethod
from queue import Queue
class ProcessModule(ABC):
"""Observer的抽象类，表示处理数据的模块。
每一个继承Proce... | [
"[email protected]"
] | |
c6d92dc424e95b6378c43eb99d934375630c943d | e1fe66628d58e66b25d910c6d2f173a7dfa74301 | /1. Edge AI Fundamentals with OpenVINO/4. Inference Engine/Workspaces/3. Integrate into an Edge App/solution/app-custom.py | 48e61b9d9b66578fc97dd81f97cebbf7727c6f5e | [
"MIT"
] | permissive | mmphego/Udacity-EdgeAI | 7c5443c4f19eaaf4f6eb44739f7e6413ba26e106 | 25af22f85772adc25ff9d5a59ba8a33a1e5551cd | refs/heads/master | 2022-12-31T15:39:07.077926 | 2020-10-20T11:45:58 | 2020-10-20T11:45:58 | 258,950,438 | 8 | 1 | MIT | 2020-05-25T14:38:30 | 2020-04-26T05:48:07 | Jupyter Notebook | UTF-8 | Python | false | false | 4,277 | py | import argparse
import cv2
from inference import Network
INPUT_STREAM = "test_video.mp4"
CPU_EXTENSION = "/opt/intel/openvino/deployment_tools/inference_engine/lib/intel64/libcpu_extension_sse4.so"
def get_args():
"""
Gets the arguments from the command line.
"""
parser = argparse.ArgumentParser("Run... | [
"[email protected]"
] | |
3cd47a7d7dd674e5aa584bc0ac1049be6c8bdf48 | b01646abacbef23719926477e9e1dfb42ac0f6a9 | /Rebrov/training/673K/673K_O088N12_Rebrov_lib_and_all_families/input.py | d9cd3c9eddcac08e009b6e6733f837aefa7982fc | [] | no_license | Tingchenlee/Test | 41b0fd782f4f611d2b93fda6b63e70956881db33 | 37313c3f594f94cdc64c35e17afed4ae32d3e4e6 | refs/heads/master | 2023-06-02T05:38:32.884356 | 2021-06-10T11:59:02 | 2021-06-10T11:59:02 | 349,764,587 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,308 | py | # Microkinetic model for ammonia oxidation
# E.V. Rebrov, M.H.J.M. de Croon, J.C. Schouten
# Development of the kinetic model of platinum catalyzed ammonia oxidation in a microreactor
# Chemical Engineering Journal 90 (2002) 61–76
database(
thermoLibraries=['surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT... | [
"[email protected]"
] | |
3071ce5a9c9fdebf28175ab07ecb3091a84ba165 | edfa045d12b8efb65de20261ff80a86160298e44 | /checkout/migrations/0003_orderitem_order.py | 97c09cc1a4f31557128d3510eed3d113a9d9b7d2 | [
"MIT"
] | permissive | yusif763/Unistore-pro | 1d559a89bb71f3db8b5d1e89df64ed7113f00f2a | 41ad0fa209c79a201d3f6a7aa68ec0ace707dcad | refs/heads/main | 2023-04-24T02:50:30.085011 | 2021-04-29T11:00:11 | 2021-04-29T11:00:11 | 362,782,688 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 549 | py | # Generated by Django 3.1.7 on 2021-04-13 09:08
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('checkout', '0002_auto_20210413_0746'),
]
operations = [
migrations.AddField(
model_name='orderi... | [
"[email protected]"
] | |
4936d190287dd5249daf34313e71e03c891daab6 | fb5d9f9b4ae3d7059d582ebb390916c2f9528852 | /util/__init__.py | 231dd87f66aa7d5f32d08714cbb4ea33acfaa90f | [] | no_license | tianxiaguixin002/Code-Implementation-of-Super-Resolution-ZOO | 32d4168f4d8d031968b7a601cf68b50730b15b06 | f6ccf309c7653a27173de5184d17bb5933baab14 | refs/heads/master | 2022-11-13T17:09:11.484532 | 2020-07-06T01:51:25 | 2020-07-06T01:51:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,476 | py | """This package includes a miscellaneous collection of useful helper functions."""
import os
def mkdirs(paths):
"""create empty directories if they don't exist
Parameters:
paths (str list) -- a list of directory paths
"""
if isinstance(paths, list) and not isinstance(paths, str):
for p... | [
"[email protected]"
] | |
38e065c61bb431a8fc4dd5b8d0a8130d39cb9dfd | 4ddf4fa6a4a499d64b23fb99d70a7bb3802fd1b0 | /exercises/flask_regression.py | 4fd8a87deed5370e70ec83805bf14ac80fa11aac | [] | no_license | biterbilen/MVML | 2b318b3883c00ed1908ef75924077e3aab639094 | 76a79ded26d09452234b7ae2b4809e47aa93df70 | refs/heads/master | 2023-01-13T10:04:10.269589 | 2020-11-16T18:55:19 | 2020-11-16T18:55:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 364 | py | import pickle
from flask import Flask, request, render_template
import pandas as pd
app = Flask(__name__)
with open('exercises/model.pkl', 'rb') as f:
model = pickle.load(f)
@app.route("/")
def index():
pass
@app.route("/result", methods=["POST"])
def predict():
new = pd.DataFrame({'X': [20]})
y = f... | [
"[email protected]"
] | |
686a68dd2426c857f28b7069b29021b4b28d8624 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/verbs/_monsters.py | e7f2bb60af124f30bf240705f5e9a379d84687ad | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 245 | py |
from xai.brain.wordbase.verbs._monster import _MONSTER
#calss header
class _MONSTERS(_MONSTER, ):
def __init__(self,):
_MONSTER.__init__(self)
self.name = "MONSTERS"
self.specie = 'verbs'
self.basic = "monster"
self.jsondata = {}
| [
"[email protected]"
] | |
90088be62e540370be33da0a6c2da6c4e57b429a | d3426a5d1bbecde0fe480e7af64a54bfdb8295eb | /students/migrations/0005_auto_20170802_1524.py | 24c508cf44b2fa93d7d609ad89d31875eb8a08a5 | [
"MIT"
] | permissive | pu6ki/elsyser | 5a3b83f25f236b4a4903180985f60ced98b3fb53 | 52261c93b58422b0e39cae656ae9409ea03a488d | refs/heads/master | 2021-01-12T18:06:18.375185 | 2017-12-10T18:18:34 | 2017-12-10T18:18:34 | 71,325,732 | 5 | 4 | MIT | 2017-12-10T18:18:35 | 2016-10-19T06:26:47 | Python | UTF-8 | Python | false | false | 739 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-08-02 12:24
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('students', '0004_auto_20170801_1243'),
]
operations = [
migrations.DeleteMo... | [
"[email protected]"
] | |
0d243a771485ed631550fd265ff1c7dd644c4b81 | d8af7c6372aff57012c80d3b8a9dfaab81499f71 | /AIDStudy/01-PythonBase/day07/exercise05.py | ab36bcf266a5024e045bea117f549cbbf81366f4 | [] | no_license | fanxiao168/pythonStudy | 4843c56019b8f997fd7fc566904a9e0162e9a541 | f94e2238d40c41ee54ff4184c500d659c6820c03 | refs/heads/master | 2021-02-04T20:54:10.850770 | 2020-05-28T08:55:35 | 2020-05-28T08:55:35 | 243,708,800 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 456 | py | # 3行5列的二维列表
list01 = [
[0, 1, 2, 3, 4],
[1, 28, 45, 6, 7],
[20, 7, 3, 65, 2]
]
# 将第二行元素打印出来
for item in list01[1]:
print(item, end=' ')
# 将第一列打印出来
print(list01[0][0])
print(list01[1][0])
print(list01[2][0])
for i in range(len(list01)):
print(list01[i][0])
# 将全部元素打印出来
for i in range(len(list01)):
... | [
"[email protected]"
] | |
46077844615c08090f6de524a45ad3b9f9d1e776 | e415e4cdab3d1cd04a4aa587f7ddc59e71977972 | /datetime/datetime.timedelta.py | 77ed0bd2af1f40780439d18c8c5f04973b36cd10 | [] | no_license | nixawk/hello-python3 | 8c3ebba577b39f545d4a67f3da9b8bb6122d12ea | e0680eb49d260c5e3f06f9690c558f95a851f87c | refs/heads/master | 2022-03-31T23:02:30.225702 | 2019-12-02T10:15:55 | 2019-12-02T10:15:55 | 84,066,942 | 5 | 7 | null | null | null | null | UTF-8 | Python | false | false | 691 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
class datetime.timedelta
A duration expressing the difference between two date, time,
or datetime instances to microsecond resolution.
"""
import datetime
def datetime_timedelta():
# def __new__(cls, days=0, seconds=0, microseconds=0, milliseconds=0, mi... | [
"[email protected]"
] | |
b7020ef6386d6ad70f6a34fd08ff52d6e5aac54a | bf4f5e90fff95800f3ab944efcdb9aace29be71d | /banshee-master/api/mms/balance/mall_balance.py | 2f573caaf12c82cd5229034b31716e1636ce01a9 | [] | no_license | tanlu01/testfan | c77c833d4e164a4786f20d7f28ffbb99cd6dcb2e | de8cf936dc7e80a9e2847fa47ae5c909729675b1 | refs/heads/master | 2023-04-20T17:12:57.515484 | 2021-05-10T15:53:15 | 2021-05-10T15:53:15 | 365,418,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,918 | py | from api.mms.mms_ import Mms
class MallBalance(Mms):
method = 'post'
api = '/api/mall/Balance'
data = {}
error_resp = {
'code': 400000,
'message': '没有可以购买的商品'
}
expected_schema = {
"$schema": "http://json-schema.org/draft-06/schema#",
"title": "expected_data",... | [
"[email protected]"
] | |
eb7268205ffc0e037565f404d2dc6e35a518804e | 5cfc22491d6c83e807b21883ce71fdb958a2c53f | /identify/trend.py | 826bf058e30afc7807df0bd377da5c8348ad60e1 | [] | no_license | Jeffin-Studios/stocktool | ce29824bfa663927eac1b17dad3ed7830dbedf1f | 96f4e96feb4de9a54028e4b5ef56bd8554f122eb | refs/heads/master | 2020-03-28T03:27:27.271479 | 2018-10-18T08:03:08 | 2018-10-18T08:03:08 | 147,646,775 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,466 | py |
#rolling average for both stock and market
from pandas_datareader import data
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
class stocktrend():
# Initialization requires a ticker symbol
def __init__(self, stock_name, start_date = None, end_date = None, draw_graph = False):
self.name ... | [
"[email protected]"
] | |
0e361c2d25f1dc4f3d81ae0f99eff2116e37073d | eec0d71067c95a772e3fdeeadab242230cd2b31f | /mysite/settings.py | e3abb79a4fe1388ad0999909201edfd4ccbc3f9b | [] | no_license | amcmy/my-first-blog | d543ef051ab9decca1a5ff073c3bb40ef552f74a | 5bb9d7284633f31797e5cc83fcd3d14b9eed8960 | refs/heads/master | 2020-05-17T15:21:36.295933 | 2019-04-27T15:14:09 | 2019-04-27T15:14:09 | 183,788,627 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,189 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
# Bu... | [
"[email protected]"
] | |
8214a4f2f5d28141284cdcea9a1c77e386cbbf48 | cb4736c3db7288ca3868e319ace6c19364302d2f | /module_template/repeater.py | e453e33ab9530bcdf5872230c59496fffeb4f50f | [
"MIT"
] | permissive | rstms/repeat | 0928d9833463e5048071a2564916b1a2eb233fb6 | af9f1aa01cc0d5d5fd8e6ff688e7c84267b8600f | refs/heads/master | 2023-07-27T16:40:04.187344 | 2021-09-11T03:43:31 | 2021-09-11T03:43:31 | 399,602,397 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,784 | py | # -*- coding: utf-8 -*-
"""repeater object for repeat command line tool
This simple module contains a Repeater() class with a run() method that
does the work of the program.
Example:
To use the function open an input stream and an output stream in text
mode, then cal the run method specifying the number of t... | [
"[email protected]"
] | |
4f57c4e198a2dc78dc00b90d05162dd65d57d004 | ebd1d1bbaa0fe30590e2c8c0d19a9d7eff180320 | /arp/scripts/xtalk_preview.py | 7110e508cd826977ff0fc86692a60f78449baab7 | [] | no_license | HERA-Team/hera_sandbox | 3093009c21e13a79bf3914d64b521b8fbc4bc733 | f9d292f4a91c0599947e3c013b48114b2097d76d | refs/heads/master | 2021-11-26T16:54:38.665721 | 2021-10-05T19:41:40 | 2021-10-05T19:41:40 | 95,712,482 | 2 | 6 | null | 2017-07-10T19:46:22 | 2017-06-28T21:17:39 | Python | UTF-8 | Python | false | false | 1,100 | py | #! /usr/bin/env python
import aipy as a, capo as C, pylab as p, numpy as n
import sys
CH0,CH1 = 16,182
fqs = n.linspace(.1,.2,203)
jy2T = C.pspec.jy2T(fqs)
fqs = fqs[CH0:CH1]
aa = a.cal.get_aa('psa6240_v003', n.array([.15]))
t,dat,flg = C.arp.get_dict_of_uv_data(sys.argv[1:], 'cross', 'I')
window = a.dsp.gen_window(fq... | [
"[email protected]"
] | |
b3bb756dcc5fa36b2ee79947713b1d3b50e1fdda | 03dddfda1c488f08ae4b7914e83dd96c24f1e3d7 | /meadow_mall/meadow_mall/apps/oauth/utils.py | 25c69391d72c9ec60ab021d7c100769fbc532cd7 | [] | no_license | zizle/MeadowMall | 0223ed134baf164eb71358e0c0d3c7a0fbf58782 | d5cc05e71a666724726bc324c1eb4841b828b284 | refs/heads/master | 2020-03-21T00:14:47.853180 | 2018-07-11T00:38:55 | 2018-07-11T00:38:55 | 137,884,601 | 0 | 0 | null | 2018-07-11T00:38:56 | 2018-06-19T11:50:28 | HTML | UTF-8 | Python | false | false | 3,856 | py | # _*_ coding:utf-8 _*_
# QQ登录辅助
from django.conf import settings
from urllib.parse import urlencode, parse_qs
from urllib.request import urlopen
from itsdangerous import TimedJSONWebSignatureSerializer as TJWSSerializer, BadData
import logging
import json
from .exceptions import OAuthQQAPIError
from . import constants... | [
"[email protected]"
] | |
df21b265a6cacdff01901795d819235d4a0eb590 | f7e0780b4d73ebf6e50fe4053c01fd3cc4d6b227 | /auctioning_platform/shipping_infrastructure/shipping_infrastructure/repositories/address.py | 8ec2f8f1ec18b584e7ea6e8fffc9eacf0ddcf650 | [
"MIT"
] | permissive | Enforcer/clean-architecture | 78d663585f913c51a0460bcafa4af35515cdf549 | f0c1c0a8364996d309e7381b44933807529200b1 | refs/heads/master | 2023-02-20T01:40:24.653512 | 2022-08-02T20:59:03 | 2022-08-02T20:59:03 | 208,138,785 | 454 | 51 | MIT | 2023-02-16T01:31:26 | 2019-09-12T20:16:08 | Python | UTF-8 | Python | false | false | 589 | py | import uuid
import faker
from shipping import AddressRepository
from shipping.domain.entities import Address
from shipping.domain.value_objects import ConsigneeId
class FakeAddressRepository(AddressRepository):
def get(self, consignee_id: ConsigneeId) -> Address:
fake = faker.Faker()
return Addr... | [
"[email protected]"
] | |
eb9f0a5bbe7e49980ce27a7e5656855d9bfe7f04 | 14427b4c73fef188791affb42c9fffe8e25b7dc1 | /tests/solr_tests/tests/admin.py | 082e19f81b3cb37860f748e658e952a736a542f1 | [
"BSD-3-Clause",
"MIT"
] | permissive | markng/django-haystack | 697ea05dd49980be43002e0fb6bf5c2b6357a015 | 78160bb2f530f7fadc0caf22f2f8babbac89ef32 | refs/heads/master | 2021-01-17T23:13:00.755184 | 2010-10-21T01:02:38 | 2010-10-21T01:02:38 | 1,010,851 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,667 | py | from django.conf import settings
from django.contrib.auth.models import User
from django.test import TestCase
from haystack import backends
from core.models import MockModel
from solr_tests.tests.solr_backend import SolrMockModelSearchIndex, clear_solr_index
class SearchModelAdminTestCase(TestCase):
fixtures = ['... | [
"[email protected]"
] | |
d6d19a882acc2888a4c56b24b29d7ea83b450ec4 | b2cfcacbd898f758a56d095f2140681934205d89 | /GeekShop_mentor/src_lesson_8/step_6(CBV_DetailView)/geekshop/geekshop/urls.py | f61dfb9bfdf3de46c576ad4a7bb2d44badcae26a | [] | no_license | AndreySperansky/Django_1 | 7d3be3ea2ede8e46d932fdae146ce4a7c4e300b4 | 0fec0a9a02b887fd8b45a5b763b7da5dc6377208 | refs/heads/master | 2022-12-15T19:56:23.611288 | 2020-09-21T17:40:40 | 2020-09-21T17:40:40 | 284,131,625 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 677 | py | from django.conf.urls import url, include
from django.contrib import admin
import mainapp.views as mainapp
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
url(r'^$', mainapp.main, name='main'),
url(r'^products/', include('mainapp.urls', namespace='products')),
u... | [
"[email protected]"
] | |
60f8ee32eec66d5a1aceb50eae7ede2d9486b5ac | 12068d6ebe90fcbd13c635f35c23ce7c73884b12 | /Lecture/Lecture_basic/TSP.py | bdc30261cdae927d3d5f5be96d23f11de1767206 | [] | no_license | jngcii/python-algorithm | 6ffb7a90eb0288cadc64bc3b2bf2d103455d2337 | e976b0033beeeb14217e7acc8d67f201a79184f2 | refs/heads/master | 2020-04-21T09:09:13.353113 | 2020-01-23T17:36:02 | 2020-01-23T17:36:02 | 169,439,831 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,119 | py | def next_permutation(a): # 다음 순열 찾는 함수
# 맨 뒤부터 자기보다 자기 바로앞이 작은 놈을 찾는다.
i = len(a) - 1
if i > 0 and a[i] <= a[i-1]: i -= 1
# 끝까지 갔는데도 자기보다 작은놈을 못찾았다. ======> e.g) 987654321
if i <= 0: False
# 이제 i-1은 무조건 i 보다 크다.
# i부터 마지막중에 i-1보단 큰것중에 제일 작은거 찾기
# i-1 이후로는 내림차순(87654)으로 정렬되어있어서 맨뒤부... | [
"[email protected]"
] | |
f04ac3ed7b2bb5e3752f0ef2d96c1cb9e22b29a2 | 1670af31dd78a82915b8cda16c181c0aa31a1c3a | /favs/urls.py | 4e213700c57ab1fa1133e8a7999e64f4f4711de4 | [
"CC-BY-3.0",
"MIT"
] | permissive | chyuting/dj4e-samples | ecd2eca6edc50402a55dee487c11f74ec873cb2d | bbe3dcd214789e4be96dd2460018524f8078b4e3 | refs/heads/master | 2020-09-15T18:12:47.472948 | 2019-11-22T20:28:57 | 2019-11-22T20:28:57 | 223,524,434 | 1 | 0 | MIT | 2019-11-23T03:24:03 | 2019-11-23T03:24:02 | null | UTF-8 | Python | false | false | 1,083 | py | from django.urls import path, reverse_lazy
from . import views
from django.views.generic import TemplateView
# In urls.py reverse_lazy('favs:all')
# In views.py class initialization reverse_lazy('favs:all')
# In views.py methods reverse('favs:all')
# In templates {% url 'favs:thing_update' thing.id %}
app_name='favs'... | [
"[email protected]"
] | |
dbc327a8c84469e18f9c25854df9fec96a476708 | 0fb505765604b586c3a46e608fc23930f8501db5 | /venv/lib/python2.7/site-packages/django/contrib/staticfiles/apps.py | ae69667b7b99c779598188e2cff803417bb26aa0 | [
"MIT"
] | permissive | domenicosolazzo/practice-django | b05edecc302d97c97b7ce1de809ea46d59e2f0e6 | 44e74c973384c38bd71e7c8a1aacd1e10d6a6893 | refs/heads/master | 2021-08-19T15:36:22.732954 | 2015-01-22T18:42:14 | 2015-01-22T18:42:14 | 25,118,384 | 0 | 0 | MIT | 2021-06-10T19:50:51 | 2014-10-12T12:08:47 | Python | UTF-8 | Python | false | false | 206 | py | from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
class StaticFilesConfig(AppConfig):
name = 'django.contrib.staticfiles'
verbose_name = _("Static Files")
| [
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] | |
7601589c18fcecc2f0a8da320cabeceadd1e1dbe | 9ef6d625945ecdebb476614a96a83a2139a92e9b | /nlstruct/datasets/quaero.py | 8d1aedb5e67c9965c45a5d4f2bc23add2d4fe78c | [
"MIT"
] | permissive | percevalw/nlstruct | f0cdf8ed86a32a5a96204b1c787eb35b1a4a804a | 7b5fa2230a555331e2e68b25fbb2b25e4c9404a0 | refs/heads/master | 2023-08-09T00:07:13.782518 | 2023-07-03T14:37:43 | 2023-07-03T14:37:43 | 229,176,303 | 13 | 7 | MIT | 2023-07-23T00:52:19 | 2019-12-20T02:38:34 | Python | UTF-8 | Python | false | false | 6,137 | py | import os
import random
import zipfile
from sklearn.datasets._base import RemoteFileMetadata
from nlstruct.datasets.brat import load_from_brat
from nlstruct.datasets.base import NetworkLoadMode, ensure_files, NormalizationDataset
class QUAERO(NormalizationDataset):
REMOTE_FILES = [
RemoteFileMetadata(
... | [
"[email protected]"
] | |
1ecc6c19485b08f78b1da7819afdbb6fb6669109 | 93713f46f16f1e29b725f263da164fed24ebf8a8 | /Library/bin3/jupyter-kernelspec | e82d73045ac485f46b7e7879db1c57e894321d7b | [
"Python-2.0",
"BSD-3-Clause"
] | permissive | holzschu/Carnets | b83d15136d25db640cea023abb5c280b26a9620e | 1ad7ec05fb1e3676ac879585296c513c3ee50ef9 | refs/heads/master | 2023-02-20T12:05:14.980685 | 2023-02-13T15:59:23 | 2023-02-13T15:59:23 | 167,671,526 | 541 | 36 | BSD-3-Clause | 2022-11-29T03:08:22 | 2019-01-26T09:26:46 | Python | UTF-8 | Python | false | false | 344 | #!/var/mobile/Containers/Data/Application/966C455F-0658-40E2-B076-EC684AFD0415/Library/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from jupyter_client.kernelspecapp import KernelSpecApp
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(KernelSpe... | [
"[email protected]"
] | ||
e49d78dfbaf2eab206ce9b59421933eb775a7f3e | 523f8f5febbbfeb6d42183f2bbeebc36f98eadb5 | /424.py | 25219c47f183e713f54738fc014afb70c66da0ff | [] | no_license | saleed/LeetCode | 655f82fdfcc3000400f49388e97fc0560f356af0 | 48b43999fb7e2ed82d922e1f64ac76f8fabe4baa | refs/heads/master | 2022-06-15T21:54:56.223204 | 2022-05-09T14:05:50 | 2022-05-09T14:05:50 | 209,430,056 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | class Solution(object):
def characterReplacement(self, s, k):
"""
:type s: str
:type k: int
:rtype: int
"""
dict=[0]*26
tail=0
res=0
for i in range(len(s)):
# print(i,tail,dict)
dict[ord(s[i])-ord('A')]+=1
ma... | [
"[email protected]"
] | |
170f17debf8e0aa5216ed9e03bf1456f06c0cc04 | a7205bcd48196c1391d8c56414a1e20c39b52aa7 | /train_online.py | 2f18b62b4240057a1e6866d5f6aabb0846fd5164 | [] | no_license | CS-433/cs-433-project-2-fesenjoon | f9f58ef0caa54b08c6d59ffca0cbf2a08642ecb5 | cb0f7519901f16ae0cb1bb9b1ae8b89761a0b519 | refs/heads/master | 2021-04-18T19:56:06.737876 | 2020-12-17T13:42:15 | 2020-12-17T13:42:15 | 314,034,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,511 | py | import argparse
import json
from datetime import datetime
import os
import numpy as np
import torch
import models
import datasets
from utils import train_one_epoch, eval_on_dataloader
try:
from tensorboardX import SummaryWriter
except:
from torch.utils.tensorboard import SummaryWriter
def build_parser():
... | [
"[email protected]"
] | |
0b01562f680ea36d596485130d22202338aa0262 | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /9b4h6mK9CBMLwyGiY_6.py | 1abf1ae0a48f31137fb13996b1512d64f8d6b0d6 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,117 | py | """
In this challenge, you have to find the distance between two points placed on
a Cartesian plane. Knowing the coordinates of both the points, you have to
apply the **Pythagorean theorem** to find the distance between them.
![Two points on a Cartesian plane](https://edabit-
challenges.s3.amazonaws.com/coordinatep... | [
"[email protected]"
] | |
ee12d3b89ca259032c8f090a344825f2320900a2 | 45cfc0bf573d0419ff4c2e9cc8d73256be9bf8bb | /lws/translate.py | 9a4d17f3e2092934a1d8e61e371afa9ac8f16708 | [
"MIT"
] | permissive | KEHANG/Life_Web_Services | c79c0f7df9aa78ca9efee79652c2fc8525076aae | 2f519d38692492088fb6ba80a648d2099828b07e | refs/heads/master | 2021-06-19T01:02:15.520716 | 2021-01-03T19:58:02 | 2021-01-03T19:58:02 | 149,108,564 | 0 | 0 | MIT | 2018-09-22T22:55:59 | 2018-09-17T10:27:50 | Python | UTF-8 | Python | false | false | 744 | py | import json
import requests
from flask_babel import _
from flask import current_app
def translate(text, source_language, dest_language):
if 'MS_TRANSLATOR_KEY' not in current_app.config or not current_app.config['MS_TRANSLATOR_KEY']:
return _('Error: the translation service is not configured.')
auth = ... | [
"[email protected]"
] | |
3130f019200ef90cb43098229e4eae8adf5a1006 | d08e6e7a2abcc7568fd3b9a6022c79091ebd0efa | /Logic/verify_no_duplicate_seqs_test.py | 7924d76700dab6cb85ace88791fd019b1f32ef3e | [] | no_license | hz-xmz/Kaggle-LANL | dd20b6951743fc068a866c799de93d9a89a2429d | 0236d3bcaeb2f3f4c960902d6c31ef0c49e749c4 | refs/heads/master | 2020-09-11T01:25:06.633524 | 2019-06-07T16:50:41 | 2019-06-07T16:50:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,214 | py | import numpy as np
import pandas as pd
data_folder = '/media/tom/cbd_drive/Kaggle/LANL/Data/'
if not 'test_combined' in locals():
test_combined = pd.read_csv(
data_folder + 'test_combined.csv').values.reshape(-1, 150000)
extreme_length = 10000
first_id = 0
def get_max_shared_seq_len(first_id, sec_id):
val... | [
"[email protected]"
] | |
3a5d3b8bcd880c5bb11c80e625c2118f69744913 | d3efc82dfa61fb82e47c82d52c838b38b076084c | /Autocase_Result/SjShObligationCall/YW_GGQQ_YWFSJHA_GOU_084.py | e0ca6b636bc265d2295b0d6957247055bbcce54d | [] | no_license | nantongzyg/xtp_test | 58ce9f328f62a3ea5904e6ed907a169ef2df9258 | ca9ab5cee03d7a2f457a95fb0f4762013caa5f9f | refs/heads/master | 2022-11-30T08:57:45.345460 | 2020-07-30T01:43:30 | 2020-07-30T01:43:30 | 280,388,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,913 | py | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import sys
import json
sys.path.append("/home/yhl2/workspace/xtp_test/xtp/api")
from xtp_test_case import *
sys.path.append("/home/yhl2/workspace/xtp_test/option/service")
from OptMainService import *
from OptQueryStkPriceQty import *
sys.path.append("/home/yhl2/workspace/xt... | [
"[email protected]"
] | |
96cfc8f20622043eeff69349f2ee5eda49f0f6a3 | 7769cb512623c8d3ba96c68556b2cea5547df5fd | /mmdet/ops/carafe/grad_check.py | 06820be2459c9766113796cbe34e76db7ae9c108 | [
"MIT"
] | permissive | JialeCao001/D2Det | 0e49f4c76e539d574e46b02f278242ca912c31ea | a76781ab624a1304f9c15679852a73b4b6770950 | refs/heads/master | 2022-12-05T01:00:08.498629 | 2020-09-04T11:33:26 | 2020-09-04T11:33:26 | 270,723,372 | 312 | 88 | MIT | 2020-07-08T23:53:23 | 2020-06-08T15:37:35 | Python | UTF-8 | Python | false | false | 2,118 | py | import os.path as osp
import sys
import mmcv
import torch
from torch.autograd import gradcheck
sys.path.append(osp.abspath(osp.join(__file__, '../../')))
from mmdet.ops.carafe import CARAFENAIVE # noqa: E402, isort:skip
from mmdet.ops.carafe import carafe_naive # noqa: E402, isort:skip
from mmdet.ops.carafe import ... | [
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] | |
6f925f97b7f04bf835e0d8185ead4532b0c99e7b | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/nouns/_orbs.py | 66df141052b56b070130b15e4bf528655d9c8b3a | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 217 | py |
from xai.brain.wordbase.nouns._orb import _ORB
#calss header
class _ORBS(_ORB, ):
def __init__(self,):
_ORB.__init__(self)
self.name = "ORBS"
self.specie = 'nouns'
self.basic = "orb"
self.jsondata = {}
| [
"[email protected]"
] | |
61886c57f514349c383865d61b354268510431e7 | 350db570521d3fc43f07df645addb9d6e648c17e | /1367_Linked_List_in_Binary_Tree/solution_test.py | 3b9df505ae99770b2edb20625a60761479c57dfc | [] | no_license | benjaminhuanghuang/ben-leetcode | 2efcc9185459a1dd881c6e2ded96c42c5715560a | a2cd0dc5e098080df87c4fb57d16877d21ca47a3 | refs/heads/master | 2022-12-10T02:30:06.744566 | 2022-11-27T04:06:52 | 2022-11-27T04:06:52 | 236,252,145 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 387 | py |
'''
1367. Linked List in Binary Tree
Level: Medium
https://leetcode.com/problems/linked-list-in-binary-tree
'''
import unittest
class TestSum(unittest.TestCase):
def test_sum(self):
self.assertEqual(sum([1, 2, 3]), 6, "Should be 6")
def test_sum_tuple(self):
self.assertEqual(sum((1, 2, 2))... | [
"[email protected]"
] | |
d8ffdcf84d2027052d36f9dd6c7668b3dec09237 | 17fb5e4cdcf8e557bd0ab8606dfd88074dc4d525 | /ticket_26758/tests.py | 0c5f0bcdd0c36962169c74cd5c324dbae1b70edd | [] | no_license | charettes/django-ticketing | 0b17c85afa049d1b73db244e1199798feb9a4b73 | 78ed6a345e760ea46434690e9385ae4d26fc2810 | refs/heads/master | 2021-01-17T06:38:35.337305 | 2016-06-15T02:33:38 | 2016-06-15T02:33:38 | 45,122,368 | 0 | 1 | null | 2016-02-09T20:21:48 | 2015-10-28T15:30:59 | Python | UTF-8 | Python | false | false | 291 | py | from django.test import TestCase
from django.db.models import Count
from .models import Company
class FooTests(TestCase):
def test_foo(self):
qs = Company.objects.annotate(ticketcount=Count('srservice')).exclude(ticketcount=0).order_by('-ticketcount')
print(list(qs))
| [
"[email protected]"
] | |
768bbacc62ddda437780f7a4469c365ecc15cccc | a31c21bcc4486fd44dd2c5b7f364e8f0320f7dd3 | /mlsh/lab/lab/envs/mujoco/ant_obstaclesgen.py | 9d1881775735ec9b7f26b3bb7e0f778226fe12c2 | [
"MIT"
] | permissive | SynthAI/SynthAI | 0cb409a4f5eb309dfc6a22d21ac78447af075a33 | 4e28fdf2ffd0eaefc0d23049106609421c9290b0 | refs/heads/master | 2020-03-19T12:49:07.246339 | 2018-06-07T23:27:51 | 2018-06-07T23:27:51 | 136,542,297 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,907 | py | import numpy as np
from lab import utils
from lab.envs.mujoco import mujoco_env
class AntObstaclesGenEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def __init__(self):
self.count = 0
self.realgoal = 0
mujoco_env.MujocoEnv.__init__(self, 'ant_obstacles_gen.xml', 5)
utils.EzPickle.__init_... | [
"[email protected]"
] | |
55a0831d34cbfef8d1eeff1fafad9e2e71e5f77b | ea378480ba678eb123ef826e3ca0c3eb8f4e538f | /paused/02.DXF write/dxfwrite-1.1.0/tests/test_abstract_entity.py | d9db54a5c2ba688be3762d19b23babb1cd18b1fc | [] | no_license | msarch/py | 67235643666b1ed762d418263f7eed3966d3f522 | dcd25e633a87cdb3710e90224e5387d3516c1cd3 | refs/heads/master | 2021-01-01T05:21:58.175043 | 2017-05-25T08:15:26 | 2017-05-25T08:15:26 | 87,453,820 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,296 | py | #!/usr/bin/env python
#coding:utf-8
# Created: 15.11.2010
# Copyright (C) 2010, Manfred Moitzi
# License: GPLv3
__author__ = "mozman <[email protected]>"
try:
# Python 2.6 and earlier need the unittest2 package
# try: pip install unittest2
# or download source from: http://pypi.python.org/pypi/unit... | [
"[email protected]"
] | |
238d011d53f467d54bd37298772793a292644147 | d87483a2c0b50ed97c1515d49d62c6e9feaddbe0 | /.history/buy_top_fc_20210203213703.py | da47d36dfa2e2de55eb512db4b137d0e379b7d01 | [
"MIT"
] | permissive | HopperKremer/hoptrader | 0d36b6e33922414003cf689fb81f924da076a54b | 406793c10bc888648290fd15c7c2af62cf8c6c67 | refs/heads/main | 2023-06-12T15:51:00.910310 | 2021-07-06T16:15:41 | 2021-07-06T16:15:41 | 334,754,936 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,567 | py | # Buy top tickers from Financhill
import requests
from tda import auth, client
from tda.orders.equities import equity_buy_market, equity_buy_limit
from tda.orders.common import Duration, Session
import tda
import os, sys
import time
currentdir = os.path.dirname(os.path.realpath(__file__))
parentdir = os.path.dirname(c... | [
"[email protected]"
] | |
c315767ae48f4b9f82aeda1f355e3cd3dc81471b | 7ddded3d38469cd3238a702d7d62cf816cb0d5d5 | /cmsplugin_cascade/segmentation/mixins.py | 92dd20dd334d71023b13787c88506ee2f5282004 | [
"MIT"
] | permissive | sayonetech/djangocms-cascade | 8e249ab83bba97dad27aee468a2a6fce0eb58f3b | 699d645cefae926d32879fbc6837693082f84c78 | refs/heads/master | 2022-05-25T02:31:58.059789 | 2020-04-25T07:33:29 | 2020-04-25T07:33:29 | 259,930,919 | 0 | 0 | MIT | 2020-04-29T13:20:54 | 2020-04-29T13:20:53 | null | UTF-8 | Python | false | false | 7,488 | py | from django import VERSION as DJANGO_VERSION
from django.conf.urls import url
from django.contrib import admin
from django.contrib.auth import get_user_model
from django.http import HttpResponse, HttpResponseBadRequest
from django.template.response import TemplateResponse
from django.urls import reverse
from django.uti... | [
"[email protected]"
] | |
b86fb3e8323c7fac53da50672674d2d083ec8e83 | c137d7fb6eaa1c1900a63b8dae6b027176a98b6f | /MxShop/apps/user_operation/migrations/0002_auto_20191215_1324.py | 67ebf35770168b3b304df8aed21406cfe8fb758c | [] | no_license | LasterSmithKim/vuedjango | 22220414ad2f928f0a0df1a0e68c9083e90c1cc7 | 4a5b7fee4dd3f2d31255d7dc9188ea977a75db29 | refs/heads/master | 2022-12-10T19:52:25.014956 | 2019-12-23T16:23:01 | 2019-12-23T16:23:01 | 225,315,491 | 0 | 0 | null | 2022-11-22T04:52:05 | 2019-12-02T07:47:12 | JavaScript | UTF-8 | Python | false | false | 495 | py | # Generated by Django 2.2.7 on 2019-12-15 13:24
from django.conf import settings
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('goods', '0003_auto_20191201_0823'),
('user_operation', '0... | [
"[email protected]"
] | |
dac682aff595a8ac60201e3480935c04e5b62c3b | 83cf642504313b6ef6527dda52158a6698c24efe | /scripts/addons/fd_scripting_tools/autocompletion/suggestions/dynamic/_bpy_fake/__private__/obstacle.py | 7598560cf2b91178e54ad5d8d3e0f5402501e10f | [] | no_license | PyrokinesisStudio/Fluid-Designer-Scripts | a4c40b871e8d27b0d76a8025c804d5a41d09128f | 23f6fca7123df545f0c91bf4617f4de7d9c12e6b | refs/heads/master | 2021-06-07T15:11:27.144473 | 2016-11-08T03:02:37 | 2016-11-08T03:02:37 | 113,630,627 | 1 | 0 | null | 2017-12-09T00:55:58 | 2017-12-09T00:55:58 | null | UTF-8 | Python | false | false | 500 | py | from . struct import Struct
from . bpy_struct import bpy_struct
import mathutils
class Obstacle(bpy_struct):
@property
def rna_type(self):
'''(Struct) RNA type definition'''
return Struct()
@property
def name(self):
'''(String) Unique name used in the code and scripting'''
... | [
"[email protected]"
] | |
358c3dc0cf6ca85640bf9dce63f0bc8db277b92d | c5291e50a3c72c885922378573a0ad423fcedf05 | /EasyPay/billpay/controllers/transaction.py | 5d51ce3230840967ef71d5b124a63aff15748a5b | [] | no_license | raghurammanyam/django-projects | bcc3ed6285882af437a2995514cef33760fb063e | dd20ae354f7f111a0176a1cc047c099bd23e9f05 | refs/heads/master | 2022-12-12T19:22:31.698114 | 2018-12-09T09:41:45 | 2018-12-09T09:41:45 | 137,443,359 | 0 | 0 | null | 2022-11-22T03:01:07 | 2018-06-15T05:08:15 | Python | UTF-8 | Python | false | false | 1,353 | py | from rest_framework.views import APIView
from rest_framework.response import Response
from django.core import serializers
from django.http import JsonResponse
from billpay.models import transactions
from billpay.serializers.transactionserializer import transactionSerializer,gettransactionSerializer
from django.http imp... | [
"[email protected]"
] | |
3e2c4eec3c3fd761e5f94ad65d35d6609cc1d30a | c41edf53089b1ee466ea578aa74f0c1e9b95a8b3 | /aqi_v3.0.py | 04b339479b8e885f186fe65eb4e7373bb5804cc2 | [] | no_license | gjw199513/aqidemo | fb4e81e6d1f6b40c14bbcc5401ce57eac11beb2b | 64dc64def274916aa513890cb24e18777518c375 | refs/heads/master | 2021-05-11T12:33:20.256133 | 2018-01-16T09:17:49 | 2018-01-16T09:17:49 | 117,661,305 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 884 | py | # -*- coding:utf-8 -*-
__author__ = 'gjw'
__time__ = '2018/1/16 0016 上午 9:33'
# AQI计算
# 读取json文件
import json
import csv
def process_json_file(filepath):
"""
解码json文件
:param filepath:
:return:
"""
f = open(filepath, mode='r', encoding='utf-8')
city_list = json.load(f)
return city_list... | [
"[email protected]"
] | |
55bd0b4a233bda1faa5458145b221dc1f947400a | e7c3d2b1fd7702b950e31beed752dd5db2d127bd | /code/pythagorean_tree/sol_395.py | a058d0ed47da7c5635ddf92ee8c14e841b46c257 | [
"Apache-2.0"
] | permissive | Ved005/project-euler-solutions | bbadfc681f5ba4b5de7809c60eb313897d27acfd | 56bf6a282730ed4b9b875fa081cf4509d9939d98 | refs/heads/master | 2021-09-25T08:58:32.797677 | 2018-10-20T05:40:58 | 2018-10-20T05:40:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,396 | py |
# -*- coding: utf-8 -*-
'''
File name: code\pythagorean_tree\sol_395.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
'''
# Solution to Project Euler Problem #395 :: Pythagorean tree
#
# For more information see:
# https://projecteuler.net/problem=395
# Problem Statement
'''
T... | [
"[email protected]"
] | |
4921921057dceaa1a35447e580f62d0b41e5898e | e6590826c10648c472743c20b898655ec0ef3ce5 | /7.14.py | 1417073e3f79cdfa391f4ccd257ba21c5e5cc211 | [] | no_license | suddencode/pythontutor_2018 | a770fbf476af049dc8f04c8b0f81cce7922a63c4 | 767cdd0d980be290a613ebda455a49daad1a7902 | refs/heads/master | 2020-03-24T00:15:07.744889 | 2019-02-11T20:17:42 | 2019-02-11T20:17:42 | 142,281,968 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 131 | py | a = [int(s) for s in input().split()]
c = ''
for f in range(len(a)):
if a.count(a[f]) == 1:
c += str(a[f]) + ' '
print(c)
| [
"[email protected]"
] | |
5c740df3c278cbd5a651616a8c6362d2a129e5df | 0a46b027e8e610b8784cb35dbad8dd07914573a8 | /scripts/venv/lib/python2.7/site-packages/cogent/struct/selection.py | 03f31e74ff518727fac35b01df2868657cf41af5 | [
"MIT"
] | permissive | sauloal/cnidaria | bb492fb90a0948751789938d9ec64677052073c3 | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | refs/heads/master | 2021-01-17T13:43:17.307182 | 2016-10-05T14:14:46 | 2016-10-05T14:14:46 | 33,726,643 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,229 | py | """Contains functions to select and group structural entities."""
from cogent.core.entity import StructureHolder, ModelHolder, ChainHolder, \
ResidueHolder, AtomHolder, HIERARCHY
__author__ = "Marcin Cieslik"
__copyright__ = "Copyright 2007-2012, The Cogent Project"
__credits__ = ["Mar... | [
"[email protected]"
] | |
653912fc3bb836925fa3ad1cc2c80b096d3ce413 | c36d9d70cbb257b2ce9a214bcf38f8091e8fe9b7 | /1480_running_sum_of_1d_array.py | 2963386c35e2ba41f6b22c1535d379e20a42c43a | [] | no_license | zdadadaz/coding_practice | 3452e4fc8f4a79cb98d0d4ea06ce0bcae85f96a0 | 5ed070f22f4bc29777ee5cbb01bb9583726d8799 | refs/heads/master | 2021-06-23T17:52:40.149982 | 2021-05-03T22:31:23 | 2021-05-03T22:31:23 | 226,006,763 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py | class Solution:
def runningSum(self, nums: List[int]) -> List[int]:
n = len(nums)
if n == 1:
return nums
for i in range(1,n):
nums[i] += nums[i-1]
return nums | [
"[email protected]"
] | |
1cbbbcd8c445f2dc867f77a6fe853653e4a2819d | 0b69a011c9ffee099841c140be95ed93c704fb07 | /problemsets/Codeforces/Python/A586.py | d7228d5b1012ec2539b03decd80c92a6c9012979 | [
"Apache-2.0"
] | permissive | juarezpaulino/coderemite | 4bd03f4f2780eb6013f07c396ba16aa7dbbceea8 | a4649d3f3a89d234457032d14a6646b3af339ac1 | refs/heads/main | 2023-01-31T11:35:19.779668 | 2020-12-18T01:33:46 | 2020-12-18T01:33:46 | 320,931,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 178 | py | """
*
* Author: Juarez Paulino(coderemite)
* Email: [email protected]
*
"""
import re
input()
print(len(''.join(re.split('00+',input().replace(' ','').strip('0'))))) | [
"[email protected]"
] | |
9bf48177a873f6126e4cfa4661fed22742055db9 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_116/795.py | 219e317d76df5272a163058483e9e3d06bc08a8e | [] | 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 | 1,355 | py | #!/usr/bin/python2
def won(player):
return rows(player) or cols(player) or diag1(player) or diag2(player)
def rows(player):
for i in range(0,4):
if row(i,player):
return True
return False
def cols(player):
for j in range(0,4):
if col(j,player):
return True
... | [
"[email protected]"
] | |
85f5a86b401a45080844f34bc6d9b786c830a113 | 71c7683331a9037fda7254b3a7b1ffddd6a4c4c8 | /Phys/BsJPsiKst/python/BsJPsiKst/syst.py | 64b1b8e87dad10cd219df5f4cd53e134b168dbff | [] | no_license | pseyfert-cern-gitlab-backup/Urania | edc58ba4271089e55900f8bb4a5909e9e9c12d35 | 1b1c353ed5f1b45b3605990f60f49881b9785efd | refs/heads/master | 2021-05-18T13:33:22.732970 | 2017-12-15T14:42:04 | 2017-12-15T14:42:04 | 251,259,622 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | from math import *
eps = 1.011
f = 0.951
k = 1.063
def err(s1,s2,v):
a1 = abs(s1-v)
a2 = abs(s2-v)
return max(a1,a2)
| [
"[email protected]"
] | |
bb64dbc2667d5b007272f60222fdce55f6a7ba45 | 21f98d8bb31264c94e7a98fb8eb806d7f5bd396e | /Binary Search/081. Search in Rotated Sorted Array II.py | 996738cbc12be3cb5963f0b2d735bfec29253141 | [] | no_license | mcfair/Algo | e1500d862a685e598ab85e8ed5b68170632fdfd0 | 051e2a9f6c918907cc8b665353c46042e7674e66 | refs/heads/master | 2021-10-31T01:25:46.917428 | 2021-10-08T04:52:44 | 2021-10-08T04:52:44 | 141,460,584 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 875 | py | """
When pivot has duplicates, nums[0]==nums[-1], the solution for LC33 doesn't apply here anymore
"""
class Solution(object):
def search(self, nums, target):
if not nums: return False
if target == nums[0]: return True
pivot = nums[0]
l, r = 0, len(nums)
#this while ... | [
"[email protected]"
] | |
c381edbdc210fa7e13c9646b2572c064b2fb4914 | 9b68d23d4409af5921a51e2d91344090996787e5 | /main_backup20190512.py | ce5655b0b8aebe49a859eeb899f1dea4d9abaf20 | [] | no_license | sasakishun/segm | 48381b77b9a876c44edfbcdbb4a2ef19096b48f4 | d48158243853d737b7056815108aef4e0ac5b6ca | refs/heads/master | 2020-05-05T10:23:12.673182 | 2019-05-14T07:46:07 | 2019-05-14T07:46:07 | 179,943,924 | 0 | 0 | null | 2019-04-07T09:31:08 | 2019-04-07T09:31:08 | null | UTF-8 | Python | false | false | 7,122 | py | from model import Model
from load_data import Datagen, plot_data
import tensorflow as tf
from util import plot_segm_map, calc_iou
import numpy as np
import networkx as nx
import adjacency
import matplotlib.pyplot as plt
import scipy
import math
np.set_printoptions(threshold=np.inf)
G = nx.Graph()
nodes = np.array(lis... | [
"[email protected]"
] | |
7ef60b70a910574209907c3a9e4d6c0dc73d5b45 | 67b0d2d2e1e3b2b9fba4cfc14adc31f503bb0b91 | /AirConditioningV2/filters.py | 54b56a16c2e40a45057929cf6936b15a8652dbdb | [] | no_license | Hk4Fun/qtstudy | 02a5059555462f5e7fe626632e351f4af69206f6 | 7b38853e29c8e055f9db2828c34815000158bf28 | refs/heads/master | 2020-03-14T11:29:32.501540 | 2018-06-16T07:48:35 | 2018-06-16T07:48:35 | 131,591,363 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,397 | py | __author__ = 'Hk4Fun'
__date__ = '2018/5/15 17:24'
import time
import datetime
from PyQt5.QtCore import QDate
from AirConditioningV2.settings import *
def mapWindSpeed_c2w(wind_speed):
return {LOW_WIND: '低风', MID_WIND: '中风', HIGH_WIND: '高风'}[wind_speed]
def mapWindSpeed_w2c(wind_speed):
return {'低风': LOW... | [
"[email protected]"
] | |
029838e1292b4def0204d31ffebfc8890bbee7bc | 8906e04870524f190a11f3eb3caf8fe377ab3a24 | /Chapter14/Chapter_14/multiprocessing_env.py | 9c110a17857d5a7f8028ddace2f37a2e3e7c1954 | [
"MIT"
] | permissive | PacktPublishing/Hands-On-Reinforcement-Learning-for-Games | 8719c086c8410a2da2b4fb9852b029a4c8f67f60 | 609d63ee5389b80b760a17f7f43abe632d99a9bb | refs/heads/master | 2023-02-08T19:35:30.005167 | 2023-01-30T09:09:07 | 2023-01-30T09:09:07 | 231,567,217 | 54 | 32 | MIT | 2022-04-21T06:47:24 | 2020-01-03T10:43:21 | Python | UTF-8 | Python | false | false | 4,886 | py | #This code is from openai baseline
#https://github.com/openai/baselines/tree/master/baselines/common/vec_env
import numpy as np
from multiprocessing import Process, Pipe
def worker(remote, parent_remote, env_fn_wrapper):
parent_remote.close()
env = env_fn_wrapper.x()
while True:
cmd, data = remote... | [
"[email protected]"
] | |
74b490218935aa0cdad3e8d7ddf4d99da22c41ec | 2542edca28a456aa5c217be10419e56fc581fa4e | /dataread.py | ad68b69900a80d898c714dc5dd7e53ff56578f0a | [] | no_license | neeshuagr/profile_match_score | 16bfef57c38e6993148175bf40c29acae6e7e9a1 | 77f4f8035746f075b8232e466907f18aa3eef641 | refs/heads/master | 2020-04-29T08:22:35.568600 | 2019-03-16T15:28:11 | 2019-03-16T15:28:11 | 175,984,719 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,041 | py | #!/usr/bin/python3.4
import datareadfiletypes
import config
import filemanager
import utility
import dcrnlp
import custom
import datetime
import dictionaries
import pyodbc
import dbmanager
def route_dataread(filepaths):
data_read_count = int(utility.read_from_file(
config.ConfigManager().ExecutioncountFi... | [
"[email protected]"
] | |
24f8c5f6b848ba541a0f03a6241859851b481ca3 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_386/ch92_2019_10_02_18_01_55_591754.py | c842af9ea317fe2aab5bd222878e1be5c6911078 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 276 | py | dict = {}
dict['felipe']="lacombe"
dict['ohara']="shiba"
def simplifica_dict(dict):
dictLista = []
for key, value in dict.items():
dictLista = [key,value]
dictLista.append(dictLista)
print (dictLista)
for i in dictLista:
print (i) | [
"[email protected]"
] | |
f408e84b593fd962f105e3137ee4041a8f4baee6 | ea4e262f3dc18a089895fef08bedefc60b66e373 | /supervised_learning/0x01-classification/4-neuron.py | 5ceefc3c0dea7f50a83093a29231b625e4e999eb | [] | no_license | d1sd41n/holbertonschool-machine_learning | 777899d4914e315883ba0c887d891c0c8ab01c8a | 5f86dee95f4d1c32014d0d74a368f342ff3ce6f7 | refs/heads/main | 2023-07-17T09:22:36.257702 | 2021-08-27T03:44:24 | 2021-08-27T03:44:24 | 317,399,917 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,257 | py | #!/usr/bin/env python3
"""[summary]
Raises:
TypeError: [description]
ValueError: [description]
"""
import numpy as np
class Neuron:
"""[summary]
"""
def __init__(self, nx):
"""[summary]
Args:
nx ([type]): [description]
Raises:
TypeErr... | [
"[email protected]"
] | |
cb884614e8d42df912c3aefa67005b33d068d5f6 | 73758dde83d1a1823c103e1a4ba71e7c95168f71 | /nsd2003/py01/day02/login2.py | 4eefdabd2111bbcb78f2b762df349d7530f21edb | [] | no_license | tonggh220/md_5_nsd_notes | 07ffdee7c23963a7a461f2a2340143b0e97bd9e1 | a58a021ad4c7fbdf7df327424dc518f4044c5116 | refs/heads/master | 2023-07-02T01:34:38.798929 | 2021-05-12T08:48:40 | 2021-05-12T08:48:40 | 393,885,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 228 | py | import getpass
username = input('username: ')
password = getpass.getpass('password: ')
if username == 'bob' and password == '123456':
print('\033[32;1m登陆成功\033[0m')
else:
print('\033[31;1m登陆失败\033[0m')
| [
"[email protected]"
] | |
11852eaac17d838c7e11ed135d73821c3fb707bd | 8985adb377e92b4764d1b138b5c23c92fab44244 | /tests/test_open_file.py | 380fbd698fba2697e062433f5e6d758c6238ff2a | [
"MIT"
] | permissive | vuillaut/pyeventio | b8f2b4ecabb9b2c94d1e3f7d651b8c5ef83e4a5f | f7fd0f3546099e34fdab1ccb3f43f5bc515f2143 | refs/heads/master | 2020-04-11T04:44:59.932722 | 2019-01-18T07:51:59 | 2019-01-18T07:51:59 | 161,524,392 | 0 | 0 | null | 2018-12-12T17:45:57 | 2018-12-12T17:45:56 | null | UTF-8 | Python | false | false | 885 | py | import eventio
from os import path
import pkg_resources
def test_is_install_folder_a_directory():
dir_ = path.dirname(eventio.__file__)
assert path.isdir(dir_)
def test_can_open_file():
testfile = 'tests/resources/one_shower.dat'
eventio.EventIOFile(testfile)
def test_file_is_iterable():
testf... | [
"[email protected]"
] | |
05329d547998d9406a4a55e93a03a512da6d1f66 | 494e3fbbdff5cf6edb087f3103ad5f15acbc174f | /company/migrations/0005_employee_checkedin.py | 6dd66f7f62dbe154d700daa4addec76dd04d087a | [] | no_license | TalentoUnicamp/my | 1209048acdedbb916b8ae8ec80761d09f6ad7754 | 3d87a33cd282d97dbbbd5f62658f231456f12765 | refs/heads/master | 2020-03-23T21:12:58.316033 | 2018-08-14T06:11:36 | 2018-08-14T06:11:36 | 142,090,262 | 11 | 0 | null | 2018-08-17T05:13:26 | 2018-07-24T01:53:23 | JavaScript | UTF-8 | Python | false | false | 394 | py | # Generated by Django 2.0.3 on 2018-08-12 02:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('company', '0004_company_access_level'),
]
operations = [
migrations.AddField(
model_name='employee',
name='checkedin... | [
"[email protected]"
] | |
a03f8b20320b2b0cd2a0c8a40c42c197b83f1048 | 18ad97292b34a679b8dea8a85090541c5bbf6174 | /chess.py | 0fa35ed4de237177a9e5fefa36517a277692e1e0 | [] | no_license | Jyotirm0y/kattis | b941044e39dc36d169450480fc33fd33bd2e0f8e | 2b9c1819ba29419bbea3db2e8ad7851155abbb3a | refs/heads/master | 2023-05-31T21:11:38.350044 | 2021-06-12T08:21:47 | 2021-06-12T08:21:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,184 | py | n = int(input())
r = 'ABCDEFGH'
for _ in range(n):
s = input().split()
a = r.index(s[0])
b = int(s[1])-1
x = r.index(s[2])
y = int(s[3])-1
m = abs(x-a)
n = abs(y-b)
if a == x and b == y:
print(0,s[0],s[1])
elif m == n:
print(1, s[0],s[1], s[2],s[3])
elif (m+n)%2 !... | [
"[email protected]"
] | |
2d0753b8960fa3c7bb7014d2317bc0555cd17999 | fcbe21026e7ae483c535f6eb38ffbfaaa2aa06c2 | /.history/main_20210412094009.py | 7efdf4db3a5b77a3a63e5eb7f311427f5aca19c3 | [] | no_license | robertstrauss/discordAIchatbot | 8e4c85920f73d49daeb1394afbd1ce8baffbb97b | 8347e6a591d352ace1b8fe4c4629e831763eb0ba | refs/heads/master | 2023-04-03T12:55:07.641825 | 2021-04-13T17:54:57 | 2021-04-13T17:54:57 | 357,641,172 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,858 | py | import discord
import re
import requests
import random
import time
import asyncio
import pytorch as torch
import pandas as pd
client = discord.Client()
guildID = 755473404643115170
guild = None
channelID = 831188849946394654
talkchannel = None
# async def pingean():
# while True:
# await asyncio.slee... | [
"[email protected]"
] | |
7199acf0e62fd850cfe1c8e99807a92710e8e2f2 | 854d0673d18cf1db557d2b9b27c248dd879ba28a | /test/test1.py | 3c51d8306463a0078a64f3dbd5b8dc13fba22485 | [] | no_license | Miao1127/code-charpter3 | 51e141c0e463f1ea63f371a498d967b520f59853 | 313dae0b53f1f68fb7ce713ac3eab7e1a2d1b001 | refs/heads/master | 2023-07-15T21:27:22.688910 | 2021-08-23T01:13:59 | 2021-08-23T01:13:59 | 398,937,184 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 381 | py | # _*_ coding:utf-8 _*_
# 开发人员：103中山分队-苗润龙
# 开发时间：2019/12/1620:50
# 文件名：test1.py
# 开发工具：PyCharm
# 功能：测试全局变量
import time
import sys
def show():
global a
print(a)
a = 3
def s():
global a
print(a)
a = 5
if __name__ == '__main__':
a = 1
show()
print(a)
s()
print(a)
| [
"Miao@DESKTOP-AJA95IE"
] | Miao@DESKTOP-AJA95IE |
df98aec7cbcf6664ef07942ff574d25f1dc989c7 | 599913671c29ca3c427514fa6cb22260d1420d35 | /st2actions/st2actions/runners/remote_script_runner.py | d0fc84e70bce2ff066dd85ba069a41d4e6435b31 | [
"Apache-2.0"
] | permissive | grengojbo/st2 | 2c9642c157f95b57a95175b04d17de7a312164cf | 24956136df165a8b8ac629ba6be1f6de0d77385a | refs/heads/master | 2020-12-30T21:42:57.664608 | 2015-08-20T14:23:56 | 2015-08-20T14:23:56 | 39,152,248 | 0 | 0 | null | 2015-07-15T17:58:43 | 2015-07-15T17:58:42 | null | UTF-8 | Python | false | false | 3,618 | py | # Licensed to the StackStorm, Inc ('StackStorm') under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use th... | [
"[email protected]"
] | |
b2ea215b35210f9d73283dae43957dc12d943e32 | 29345337bf86edc938f3b5652702d551bfc3f11a | /python/src/main/python/pyalink/alink/tests/examples/from_docs/test_softmaxpredictstreamop.py | ed44324ed0eac0718b830e65b094dc71dad0a64e | [
"Apache-2.0"
] | permissive | vacaly/Alink | 32b71ac4572ae3509d343e3d1ff31a4da2321b6d | edb543ee05260a1dd314b11384d918fa1622d9c1 | refs/heads/master | 2023-07-21T03:29:07.612507 | 2023-07-12T12:41:31 | 2023-07-12T12:41:31 | 283,079,072 | 0 | 0 | Apache-2.0 | 2020-07-28T02:46:14 | 2020-07-28T02:46:13 | null | UTF-8 | Python | false | false | 953 | py | import unittest
from pyalink.alink import *
import numpy as np
import pandas as pd
class TestSoftmaxPredictStreamOp(unittest.TestCase):
def test_softmaxpredictstreamop(self):
df_data = pd.DataFrame([
[2, 1, 1],
[3, 2, 1],
[4, 3, 2],
[2, 4, 1],
... | [
"[email protected]"
] | |
20d782976fa64be463fcafcdcad085eb498f3c78 | 3034e86347c71bf7e7af9e5f7aa44ab5ad61e14b | /pweb/day06/queue2.py | 1e303bf16b69ae88861efeb393b81111e60f2ba4 | [] | no_license | jason12360/AID1803 | bda039b82f43d6609aa8028b0d9598f2037c23d5 | f0c54a3a2f06881b3523fba7501ab085cceae75d | refs/heads/master | 2020-03-17T00:43:42.541761 | 2018-06-29T10:07:44 | 2018-06-29T10:07:44 | 133,127,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | from multiprocessing import Process,Queue
import time
#创建消息队列
q = Queue()
def fun1():
time.sleep(1)
q.put('我是进程1')
def fun2():
time.sleep(2)
print('取消息',q.get())
p1 = Process(target = fun1)
p2 = Process(target = fun2)
p1.start()
p2.start()
p1.join()
p2.join() | [
"[email protected]"
] | |
3f84cd518baad07c427aacb915704490f4665028 | 452e376385cf9294c7f416748e353ddbfeb8460c | /migrations/versions/d2d0eb2fe55a_create_info_type_table.py | 41952b64c1710a34e5225043c0bb4c6c68964741 | [] | no_license | huozhihui/atuiguang | e7576de0acc53998a67669f577cb371f386a001d | 7e6db16746e6124cd95a2cf71d063db67a9b0d1f | refs/heads/master | 2021-01-20T08:37:50.479023 | 2017-09-05T14:28:46 | 2017-09-05T14:28:46 | 101,567,814 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,026 | py | """create info_type table
Revision ID: d2d0eb2fe55a
Revises: 818a0a098c23
Create Date: 2017-09-02 18:54:31.644588
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd2d0eb2fe55a'
down_revision = '818a0a098c23'
branch_labels = None
depends_on = None
def upgrade(... | [
"[email protected]"
] | |
0eee740e8053dfaa728e96765f202ca5904ce08d | 37c3b81ad127c9e3cc26fa9168fda82460ca9bda | /Baekjoon/boj_2628.py | 3860cbf720e66de2d4735521eb108e758f043ee3 | [] | no_license | potomatoo/TIL | 5d85b69fdaed68966db7cfe2a565b7c64ed3e816 | 395dc190fa13e5ed036e1e3c7d9e0bc2e1ee4d6c | refs/heads/master | 2021-07-08T16:19:40.410097 | 2021-04-19T02:33:40 | 2021-04-19T02:33:40 | 238,872,774 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 467 | py | w, h = map(int,input().split())
n = int(input())
garo = []
sero = []
for i in range(n):
where, idx = map(int,input().split())
if where == 0:
garo.append(idx)
else:
sero.append(idx)
garo.append(0)
sero.append(0)
garo.append(h)
sero.append(w)
garo.sort()
sero.sort()
ls1 = []
ls2 = []
for i i... | [
"[email protected]"
] | |
c76607201a54c4b15b585cebd9ac427bc7e11dd0 | af32cdbbf31d52d01753ddfa5e813e851411403b | /tests/job/test_databaseproperties.py | 5b4cbb469a7497b64814c7ed06d2148275bafbf3 | [
"BSD-3-Clause"
] | permissive | pmrv/pyiron_base | 3e72298df7790f4c3b84d78c990b5d7e12e9016b | af1729708a8226575ca2c84f574e7cb046b7f7cd | refs/heads/master | 2022-12-25T03:15:09.270651 | 2020-09-13T13:56:40 | 2020-09-13T13:56:40 | 294,116,811 | 0 | 0 | BSD-3-Clause | 2020-09-09T13:10:31 | 2020-09-09T13:10:31 | null | UTF-8 | Python | false | false | 5,610 | py | # coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
import unittest
import datetime
import os
from pyiron_base.project.generic import Project
from pyiron_base.job.core impo... | [
"[email protected]"
] | |
3fb2cae71bf50676b6228b742a5f2bc1b3d9856b | 3012e5a0f34dd54fbac568c70506826973192ce1 | /pylib/lines.py | 0568e2c4370b658c9fb453b1094d7360c2fd0918 | [] | no_license | metatab-packages/civicknowledge.com-osm-demosearch | 89999227bda7bae91259c10bd651f220ae35c52f | d4ecb7775662a50413c848c3ae5a901b147ef532 | refs/heads/master | 2023-05-14T12:39:25.328559 | 2021-06-08T13:52:39 | 2021-06-08T13:52:39 | 334,572,037 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,999 | py | """
"""
from itertools import chain
from pathlib import Path
import fiona # Import first to work around an import bug
import geopandas as gpd
import numpy as np
import pandas as pd
import shapely
from demosearch import FileCache
from demosearch.util import run_mp
from shapely.wkt import loads as loads_wkt
from tqdm.... | [
"[email protected]"
] | |
1049de780f9f5d1abb00009e1767374fd69fa854 | 1b5404b8099de74d4e39e0a41b1d04c61defa8d4 | /fractals/pythagoras_tree.py | 9aaeb7710c9cda5161272fbed91510d7491c7690 | [] | no_license | ipeterov/random-stuff | 5d07bdcfdcb145d06ed89095f2ad34b70ff0f0bd | dbb38d42331f636919fd149b23783e02ee2c9afb | refs/heads/master | 2023-05-14T00:41:51.122251 | 2023-05-04T12:10:26 | 2023-05-04T12:10:26 | 206,028,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,292 | py | import math
from types import SimpleNamespace
import pygame
from abstract_drawer import AbstractDrawer
SIZE = WIDTH, HEIGHT = 500, 500
class PythagorasTreeDrawer(AbstractDrawer):
DEFAULT_PARAMS = {
'angle': 45,
'starting_size': 100,
'max_depth': 2,
}
PARAMS_SCHEMA = {
... | [
"[email protected]"
] |
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