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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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
821182730be05428eca75c129c35f90978e33f22 | 4d83029bab993c34233d532e861dca382d056b2f | /Taking_Video/VidsFrames_upd3.py | c0aa5d035f38c50e96e382e00b409154e7af2031 | [] | no_license | Hansari346/Facial_Recognition_Capstone | da77fe1ff01190e4322579262e107cfadcbc33f1 | 664a9d27b95934a73e4ee9f7353eb4f96ac3c2c4 | refs/heads/master | 2020-08-07T00:54:10.105730 | 2019-11-10T21:32:08 | 2019-11-10T21:32:08 | 213,224,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,175 | py | VidsFrames_upd3.py | import numpy as np
import cv2
import os
from mtcnn.mtcnn import MTCNN
import time
def TakeVideo():
#move video files to "Videos" folder
os.chdir(VideosPath)
#update video name based on time
video_name = format(int(round(time.time() * 100000))) + '.avi'
out = cv2.VideoWriter(video_name,fo... |
bac57e04d422c3a6b6bb512578ac1a7eae46feee | 7875baaafbffa356faf91007e667a71e5bae7cf0 | /setup.py | c1fb488e10c47ae600be40b321897f24d3074c0b | [
"MIT"
] | permissive | Hesbon5600/movie-recommendation-system | 760a59ffb7b4bb9fa4db814beecc883bec809e24 | 8142b985da70b9b94166d8fff254f6581b041161 | refs/heads/master | 2020-06-21T02:57:55.528866 | 2019-07-17T06:20:36 | 2019-07-17T06:20:36 | 197,327,688 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 274 | py | setup.py | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='We are going to use the movielens to build a simple item similarity based recommender system.',
author='Hesbon',
license='MIT',
)
|
ecccc40d51c2a887be2fc4c602fbeb2a195139cc | f19b45ce99e4da6d78a9d2ab7d4c4b04f21ba73a | /src/quizz/settings/server.py | 15157361ef95181a205627579977acd049e941a7 | [] | no_license | s-mayorov/superquiz | 07486bdb6968dad10357236cbda0def7207ae9da | 0ff35caed706322ac1323ec9be93c9668edc0477 | refs/heads/master | 2021-08-22T20:38:38.954825 | 2017-12-01T07:15:14 | 2017-12-01T07:15:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 489 | py | server.py | from .base import *
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.11/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = (os.path.join(BASE_DIR, 'static'),)
STATIC_ROOT = os.path.join(BASE_DIR, 'assets')
# SECURITY WARNING: keep the secret key used in production secret!
... |
939c51d6cb9198a5d347504d99bdf56f134ad524 | 7f9af2aa4579be0d44ffad2ac0d4529265738ab7 | /karbor_dashboard/scheduledoperations/views.py | 7466b4cf73ec3b2752db794447fe69e928d0d17c | [
"Apache-2.0"
] | permissive | xiaoruiguo/karbor-dashboard | 26330dd4cdd49b52897a3f312e7e60a63d54f512 | 056e51066eac787fbdd3c552271264a9704cc352 | refs/heads/master | 2020-06-04T09:13:08.813406 | 2019-04-19T19:31:49 | 2019-04-19T19:31:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,481 | py | views.py | # Copyright (c) 2016 Huawei, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... |
1f035dd2353e5b43ab789941588ee7e39f39912d | fdfff069b1024fd867f602d5476a468af5646f02 | /Codigos Kinect/VRPZ-master/stuff/old/main.py | 8db4699576f6bc9ecf43e73e18d1d1a5339f0b1d | [] | no_license | mariomr289/tesisMaestria2018 | dcca6da022d40d65533c1a3212a85997f03ef552 | e660ac8ca95a5d936b94da7ba8f0803dc2792466 | refs/heads/master | 2021-04-06T11:54:29.966736 | 2019-05-10T18:57:42 | 2019-05-10T18:57:42 | 125,295,624 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,430 | py | main.py | #!/usr/bin/python
import pygame
import sys
import random
pygame.init()
class BouncingSprite(pygame.sprite.Sprite):
def __init__(self, image, scrWidth, scrHeight, speed=[2,2]):
pygame.sprite.Sprite.__init__(self)
self.speed = speed
self.image = pygame.image.load(image)
self.rect = self.image.get_rect()
sel... |
0dac0d9c7d3e14c3e2672cbb1260f21ee9055fc6 | eb52c649be77db484b5ab7c9fc8149f775a343c1 | /schoolofnet-python-boas-praticas-e-gerenciamento-arquivo/read_file.py | 6af7317270eda6311de0ba85623ab4703a1de404 | [] | no_license | richellyitalo/Estudos-Python | fffab6b8ed08ec5bb1978ce08ea16b7bc99bd6a4 | 3c545096f53a7d051e80b5a2ce4f22b633cf3cda | refs/heads/master | 2022-12-10T12:56:37.664066 | 2019-11-13T10:14:02 | 2019-11-13T10:14:02 | 130,118,008 | 1 | 0 | null | 2022-12-08T06:52:24 | 2018-04-18T20:25:52 | Python | UTF-8 | Python | false | false | 973 | py | read_file.py | # ESCRITA MÚLTIPLA
# file = open('_file.dat', 'a')
# file.writelines(('0123456789', '\n', 'abcdefghijklmnopqrstuvxyz'))
# Dividindo o texto e escrevendo em múltiplas linhas
# textos = 'Eu quero esse texto completamente dividio em linhas'
#
# file.writelines('\n'.join(textos.split(' ')))
# file.close()
# -----------... |
55b29718a67704e5b6f50497d914e180c6bdf2e0 | 345422902ade4f9fbf0ef9a383fc925b1faca159 | /utils/regex_tester.py | 660049bb2afb69ccfe5b13a6ae8346acd2cd30ef | [] | no_license | cvlg-dev/py-url-shortener | e614f6f92aacd1f6853f42d8fa04f8d0b1b31a68 | 0e627e8ef66d2b30e8dbe864e8f71f717916328b | refs/heads/main | 2023-04-11T14:08:39.552980 | 2021-04-18T13:57:41 | 2021-04-18T13:57:41 | 358,901,347 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 393 | py | regex_tester.py | import re
url_pattern = re.compile(r"(http|ftp|https)://([\w_-]+(?:(?:\.[\w_-]+)+))([\w.,@?^=%&:/~+#-]*[\w@?^=%&/~+#-])?")
def test_url_regex_pattern(url: str, pattern: re.compile=url_pattern)-> str:
"""
:param url:
:param pattern:
:return:
"""
match = re.match(url_pattern, url)
if match... |
b444aa519fa5919d26ad66dd492c14bbbb0fec0b | 63ba4b474bdf3f9f9430fde7e3e25c25f6b50a75 | /src/Chat.py | 228bdd5539e218605d7ff2197e9d2a82d6a298cb | [] | no_license | berkerAa/Cmpe322 | 16fce9f5950dadef6fc201bd737ffa7001e6d996 | b1410d7751dbc462ec6caf8eaf9291de07ef959c | refs/heads/master | 2023-05-07T23:53:07.788979 | 2021-06-02T21:35:17 | 2021-06-02T21:35:17 | 371,808,306 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,699 | py | Chat.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui/Chat.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGu... |
f72bc76e6ae968bdba8842aa7acb70c1bc96415c | 6aaea7f27b938e51efb22c3e8d89a3f682da4d2b | /log_adapter.py | f17cf5d77443d6dfeb1ad4b40501b3587de1af0a | [
"MIT"
] | permissive | n8mob/python_logs | 9f13582fed6bb84b4798849e9d25bfa8b1a070dc | 927425f7caf98e6c6cb23cc3ff421f750b1fea37 | refs/heads/master | 2023-05-07T21:58:37.041079 | 2021-05-03T22:13:48 | 2021-05-03T22:13:48 | 364,072,332 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 913 | py | log_adapter.py | import logging
from adapter import CustomAdapter
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(message)s - %(test_key)s - %(pass_through_key)s')
ch.setFormatter(formatter)
logger = logging.getLogger(__name__)
logger.addHandler(ch)
adapter = CustomAdapter(
logger,
... |
63eebbb606347e4c28ba3f607220f5641ec8acaa | 391e88b6bfdea40d218807bbd2b4585610f0bf91 | /src/lib/django-google-calendar/google_calendar/migrations/0001_initial.py | bfcaacef234228752c14a72a505b3f439b389b65 | [] | no_license | kawazrepos/Kawaz3rd | 3de33c50dac5e9125948d9972427228a793cfe42 | 8f9a850c4df41b0fc1da5b73189772552d5cd531 | refs/heads/develop | 2020-04-16T14:42:35.758910 | 2017-06-20T15:48:55 | 2017-06-20T15:48:55 | 18,743,101 | 7 | 9 | null | 2017-06-20T15:48:56 | 2014-04-13T23:57:57 | Python | UTF-8 | Python | false | false | 814 | py | 0001_initial.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from ..conf import settings
class Migration(migrations.Migration):
dependencies = [
('events', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='GoogleCalen... |
785d6ace8b0cf5ecb02ce3de24fefe573e4b55b2 | bb358bb1ea8bed79603b876a7e428ab50b2dc83e | /e2ools/models/hsticks.py | 6191532f517892bf4a5030b938b493351813d920 | [] | no_license | slowcoder-fastsleeper/e2ools | 8d094f26f8b4f7f0fc598a2daa0ac6436dbb6e61 | cf1825e180f937cbc82efb6ef84e1f8c03a43473 | refs/heads/master | 2023-05-05T20:30:24.583658 | 2021-06-01T04:27:29 | 2021-06-01T04:27:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29,452 | py | hsticks.py | import numpy as np
import dill as pickle
from sklearn.base import BaseEstimator
from sklearn.utils import check_array
import numpy as np
import pdb
import scipy.optimize as opt
import pandas as pd
from collections import defaultdict
import random
import time
from functools import partial
import scipy
import scipy.spar... |
a159bc97e22505c2e8e0d0faa3f69c7464dfff97 | da33f450296dff93de8b6e272d0f0c5102b93d71 | /scripts/coprhd_host.py | d57be975c19cbb636b061f02fe28eee78db4337b | [] | no_license | linux6200/vagrant-corphd | c5bbb9ade402cfbceac7ceb41bdd7b6d445892cb | 22fa3aad4d3aeec65a340d5c43ead4a2f05fb714 | refs/heads/master | 2021-01-19T09:03:10.423580 | 2017-02-25T01:56:52 | 2017-02-25T01:56:52 | 82,079,758 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,082 | py | coprhd_host.py | #!/usr/bin/env python
import StringIO
import pycurl
import json
#########################
def registerStoragePortInVArray(portid,vaid):
buf = StringIO.StringIO()
data = '{ "varray_assignment_changes": { "add": { "varrays": [ "'+vaid+'" ] } } } )'
print data
url=baseurl+"vdc/storage-ports/"+portid
c.setopt(pycu... |
5d5959b5af3f5d76c71d4690bd2fba9566c96114 | 764b2a5bf55bbeaff9b32715fb81954b04808110 | /server/sqlite_database.py | e723d8d86fa215e5eeb08b925b23fd06b7861c8e | [] | no_license | PerksofbeingVaibhav/WatchFS | ccbb00e46917bf35f151d366a180d2ce9b4a2b72 | 698ce223ccfe5d688d241ad7505b718ec085ef63 | refs/heads/master | 2023-03-16T18:36:33.165762 | 2018-02-23T19:16:28 | 2018-02-23T19:16:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,184 | py | sqlite_database.py | import sqlite3
class sqlite_database:
conn = sqlite3.connect('database/watchfs.db')
def initialize(self):
# create database if not exist
# create all tables , if not exist
self.conn.execute('''CREATE TABLE if not exists datamap (nodeid text, path text, mode text, uid text, gid text, size text, timestam... |
e17ab4797448d80c930888917eb7a81f52419c73 | 3573a7245b81475aaeb37ffb94f0ec0bcd9f3de2 | /PythonKNN/PythonKNN.py | 9afda99565f03fc7005651382334d5c7759f91fb | [] | no_license | Chen-Yu-Qiang/1070722-DuGuJiaZiXun | 097b27ae8aab37d2454b5cc0f1bb80d38e6ec2f9 | a7a3687f04fcbb8c735f069003cbe8c790f194f2 | refs/heads/master | 2020-03-23T18:17:47.416698 | 2018-07-25T18:55:06 | 2018-07-25T18:55:06 | 141,899,706 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,383 | py | PythonKNN.py | import math
people=3
datanum=50
def d(a,b):
c = 0.0
for i in range(len(a)):
c+=math.pow(a[i] - b[i],2)
return math.sqrt(c)
adata=[[0 for i in range(datanum)] for j in range(people)]
for i in range(people):
for j in range(datanum):
f=open("D:\\kinect\\1070722-讀出骨架\\1070722-DuGuJiaZiXun\\B... |
06d0ca441202c00b0ecda8079454a7dab9cac9e2 | 8af0250dc9f9b6144da87b85f4731964e1ac255e | /main.py | ab9cde5879ed496ccbd14fa037e6ad3fde8dde22 | [] | no_license | CarlosWGama/python-ml-at-agrupamento | 1a4ac6b9379c2607ed62b7cac35e80bfc03d43fa | 1c32b0a10212c334ce39b39e34de52605ea15f7e | refs/heads/master | 2020-12-21T10:49:03.963907 | 2020-01-27T02:38:10 | 2020-01-27T02:38:10 | 236,408,372 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 706 | py | main.py | from sklearn.cluster import KMeans
import pandas as pd
import numpy as np
#Coleta dados
csv = pd.read_csv('dados.csv', sep=',')
csv = csv.drop(columns=['usuario'])
dados = csv.values
#Cria o modelo
modelo = KMeans(5, random_state=0)
resultado = modelo.fit_predict(dados)
#Organiza os grupos
grupos = [
[], #dados ... |
0ad8240f7672d610d61dd6b43e3be6abb6805efd | 61764833d2f92630d3f3bf22d83bee1cab5e2115 | /wiki/migrations/0006_remove_note_user.py | d6d8c1dab7c4808e96cba960af3e2d72e0393b63 | [] | no_license | petrovao87/API_wikipedia | 88127b013de9a23073ef4aa52f26882555e9ea2a | 6d128c2c0d8540a58c304114235c47f90e922e48 | refs/heads/master | 2022-12-10T16:26:42.326649 | 2019-09-12T05:15:51 | 2019-09-12T05:15:51 | 206,623,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 321 | py | 0006_remove_note_user.py | # Generated by Django 2.2.5 on 2019-09-09 20:07
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('wiki', '0005_auto_20190909_2249'),
]
operations = [
migrations.RemoveField(
model_name='note',
name='user',
),
]... |
b504f007621153c7aef2a4cb3f937bfe8f9dd3f6 | 53ad5676a69df0acc086fe633450ccd0ee9b895a | /reg/dispatch.py | 79330098a1455ee51dd7298c352dae5b5b4fea04 | [] | no_license | jean/reg | 1594bbf8710b01368115045e4311a11ce0a0b2a4 | 021afc0f3001345e582ec539dec225106af31bf1 | refs/heads/master | 2020-12-28T23:05:24.470546 | 2014-12-10T12:52:15 | 2014-12-10T12:52:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,928 | py | dispatch.py | from __future__ import unicode_literals
from functools import update_wrapper
from .implicit import implicit, NoImplicitLookupError
from .predicate import match_argname
from .compat import string_types
class dispatch(object):
"""Decorator to make a function dispatch based on its arguments.
This takes the pred... |
70a807fa46ca4916a52fc77a877963c60f06172f | 19a7b31e9f9881b60fbfbb63234a50dae904db89 | /terminal.cgi | 284a82ab2482613cc0c7dfb245b106ccca9e3be0 | [] | no_license | sidd2000/LinuxCGI | 08370491b7477ae324f57a74c7ba5997320a865c | c25c494ab124d300c3bcb3b0bab444ce8a46f31d | refs/heads/master | 2020-04-13T20:47:05.153012 | 2019-02-14T06:21:21 | 2019-02-14T06:21:21 | 163,439,058 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 470 | cgi | terminal.cgi | #!/usr/bin/python
import commands
import cgi
import cgitb #traceback errors on browser
cgitb.enable()
print "Content-Type: text/html"
print ""
mypage_data=cgi.FieldStorage()
command=mypage_data.getvalue('command')
if "reboot" not in command:
print "<pre>"
print commands.getoutput(command)
print "</pre>"
else... |
ca1605fca00817763cdacdb746ecf15900077695 | be6e6d8af85adf044bf79676b7276c252407e010 | /spec/python/test_eos_exception_u4.py | f7e3d27958d70ade8a68a719026c22d6366ddea4 | [
"MIT"
] | permissive | kaitai-io/kaitai_struct_tests | 516e864d29d1eccc5fe0360d1b111af7a5d3ad2b | 3d8a6c00c6bac81ac26cf1a87ca84ec54bf1078d | refs/heads/master | 2023-08-19T19:42:47.281953 | 2023-08-04T20:26:50 | 2023-08-04T20:26:50 | 52,155,797 | 12 | 41 | MIT | 2023-07-30T23:30:30 | 2016-02-20T13:55:39 | Ruby | UTF-8 | Python | false | false | 357 | py | test_eos_exception_u4.py | import unittest
import kaitaistruct
from eos_exception_u4 import EosExceptionU4
class TestEosExceptionU4(unittest.TestCase):
def test_eos_exception_u4(self):
with self.assertRaisesRegexp(EOFError, "^requested \d+ bytes, but only \d+ bytes available$"):
with EosExceptionU4.from_file('src/term_s... |
e31b3b95e3415dbf68e5554eb185b589a71cc46d | 59d134125f9dc8b73527cb0f6c693e4c7761d056 | /contentPages/migrations/0038_convert_existing_asset_types.py | 92469b993f80b0ec4c3308b3a814400b219ab954 | [
"LicenseRef-scancode-unknown-license-reference",
"Vim"
] | permissive | methods/phe-cv19-site | 0b25c50f87602323049232e95201839e6990921d | fd5f877b8a0725a9893fa3c24a54e9495e749744 | refs/heads/dev | 2022-11-26T03:02:09.495473 | 2021-07-16T10:16:59 | 2021-07-16T10:16:59 | 248,713,013 | 1 | 0 | null | 2022-11-22T05:10:25 | 2020-03-20T09:11:42 | SCSS | UTF-8 | Python | false | false | 570 | py | 0038_convert_existing_asset_types.py |
from django.db import migrations
from CMS.enums import enums
def convert_existing_resource_types(apps, schema_editor):
CreateNewResourceTypes = apps.get_model("contentPages", "CreateNewResourceType")
for asset_type in enums.asset_types:
new_resource_type = CreateNewResourceTypes(resource_type=asset_t... |
d4d19411f0c48ffb99bd17e8387f1741144e43b4 | f9f75fe43b600e92c6663ba8350073321eaf34c8 | /proj/my_app/tasks.py | 0498d31bc64d56b24c7a3b9f5ba729a253ad0033 | [] | no_license | aFraley/celery_requests | ff8be40386ab357449b3d0365e5ebf7f607d7051 | f8143eb0e2ece27900bbf7dd544ea724befea2ce | refs/heads/master | 2021-01-20T22:11:32.118566 | 2016-06-23T18:09:23 | 2016-06-23T18:09:23 | 61,735,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,017 | py | tasks.py | from celery import shared_task
import tweepy
from datetime import datetime, timedelta
from .models import Tweet
from django.db import IntegrityError
CONSUMER_KEY = 'Vp7FVQLSwESvE9oTQruw0TnhW'
CONSUMER_SECRET = 'miy6EsGklNYxAaVn37vTjAVGwP0c67IOyuY71AAyL1p2Ba4VPN'
ACCESS_TOKEN = '1952022900-5WAHk6l5d3GllFtqDPaucSpnraIo... |
879482e4df9c3d7f32d9b2a883201ae043e1189f | 3cb3476b7ec12f52c82d6650519f84cd157ee22d | /crawler/getWordNetScore.py | 63a95c70f756b3e49fcd8462eb4b9978f3c3d526 | [] | no_license | RogersHsu/paper | cd318982e2e8bcc35d29c544de0335073856f99b | 8d2af4ba779a48d4fcdeea09affad5d7a4972d35 | refs/heads/master | 2022-12-15T09:44:27.638757 | 2020-08-24T06:21:47 | 2020-08-24T06:21:47 | 288,716,948 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,111 | py | getWordNetScore.py | import os
import json
from nltk.corpus import wordnet as wn
from itertools import combinations #計算排列組合
# 需要被計算的分類
myTypes = ['animal', 'vehicle', 'food', 'fashion', 'dog', 'cat', 'car', 'motorcycle']
# 計算完網紅權重存放的位置
scorePath = "..\\data\\score"
# getUsersData.py儲存網紅貼文資料的json檔案，拿來計算分數
usersDataFile = "..\\data\\us... |
93d0d73d56b04bba505265958fccff229f5eaf49 | d2c3812c8df56f14cdfacb77a013fa9851b6b644 | /Site/index.py | 1df15720809dc7184da1fc6a48488a87e3c99b29 | [] | no_license | ivenwicht2/TER | bad756d47eaba123c3e94c15e74dd5013b353572 | 2d5505c6f09af18bd3147777567aa002260fe212 | refs/heads/master | 2022-06-18T05:30:22.682264 | 2020-05-02T11:12:23 | 2020-05-02T11:12:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,285 | py | index.py |
# -*- coding: utf-8 -*-
import os
from flask import Flask, request,render_template,url_for
from flask_uploads import UploadSet, configure_uploads, IMAGES, patch_request_class
import sys
sys.path.insert(1, 'script')
from backend import model
import io
from PIL import Image
import base64
import numpy as np
app = Fla... |
ce4ecff2012cfda4a458912713b0330a218fa186 | eef46bed8d3b32d6008961a0fe0656749547e40f | /StateMachine/states/moveDigState.py | 26e9aafa706dd233d8a0d2747b1aeb3c6e0af64d | [] | no_license | Ebner22/RobotControl | 203639e803141ce71e2e0d1be8dd8db0dac7cf9c | 9bf3cffd59fff7202eb7961d18543a10789baa98 | refs/heads/master | 2020-04-21T15:57:51.215602 | 2018-03-02T02:07:10 | 2018-03-02T02:07:10 | 169,684,996 | 0 | 0 | null | 2019-02-08T04:33:53 | 2019-02-08T04:33:53 | null | UTF-8 | Python | false | false | 690 | py | moveDigState.py | from states.state import State
class MoveDigState(State):
#init attributes of state
def __init__(self):
super().__init__("MoveDig", "ScanDig")
self.transitionReady = False
self.digSiteDistance = 0
#implementation for each state: overridden
def run(self, moveInstructions):
... |
612535d95e655f2e2d2c58f41b2aa99afa7fbcbc | 7ded215393c6774c458afce12442e805dc97fff7 | /Flask/main.py | 09fef5e4a20b155b80609fe86d92f64b8aba3671 | [] | no_license | thirteenaladdins/extraction | ea8b66ce9418f421f89eefe06a7b28c132d24abf | cc93ac0e349d8b15a98f046ec6c048cadc72a1c5 | refs/heads/master | 2023-07-10T06:51:16.097070 | 2021-08-14T01:55:51 | 2021-08-14T01:55:51 | 395,118,167 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 255 | py | main.py | # from the top
# clean up dependencies
from flask import Flask
app = Flask(__name__)
@app.route("/")
def index():
return "<h1>Congratulations, it's a web app!</h1>"
if __name__ == "__main__":
app.run(host="127.0.0.1", port=8080, debug=True)
|
2579b0c31c5f7cad361ed317f87cb8b0ffcb0098 | 6febd920ced70cbb19695801a163c437e7be44d4 | /treeNgraph/pascal_triangle2.py | 52a9ca697854517242e53c1c31693dab9eb79067 | [] | no_license | AngryBird3/gotta_code | b0ab47e846b424107dbd3b03e0c0f3afbd239c60 | b9975fef5fa4843bf95d067bea6d064723484289 | refs/heads/master | 2021-01-20T16:47:35.098125 | 2018-03-24T21:31:01 | 2018-03-24T21:31:01 | 53,180,336 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 536 | py | pascal_triangle2.py | '''
Created on Feb 21, 2013
@author: dharadarji
'''
def get_row(row_index):
entry = [1]
if row_index == 0:
return entry
tmp = []
for i in range(1, row_index + 2):
tmp = entry
print "i: ", i, "tmp: ", tmp
entry = []
entry.append(1)
... |
f135d52e4d5e49f96869c4209b84f30ff72f6780 | 96e14bc83601612632c9cb522bece9fc3e09bf74 | /get_data.py | 0c4c8573d2706e48919131fe46eb1a65cf9b8747 | [] | no_license | joshlemer/RedditProject | fda1015f59517c14ffbeb0bb6e4679aeb08ddb2f | 1baea0c1321bcf6464997377b84302810981b393 | refs/heads/master | 2021-01-05T06:12:24.070065 | 2015-03-08T21:07:52 | 2015-03-08T21:07:52 | 23,259,911 | 10 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,299 | py | get_data.py | import praw
import pickle
import copy
class histogram:
def __init__(self, dictionary=None):
self.frequencies = {}
if dictionary is not None:
self.frequencies = copy.deepcopy(dictionary)
def get_sum(self):
the_sum = 0
for e in self.frequencies:
the_sum +=... |
1c85ccaacfb47808e9e74f2a18bfe3b309891cf4 | 034193b1ca2932872d23c09f98ff3c5259c17108 | /Connect-CreateTable-InsertTable.py | 5bb833b02efd6cf74ac65679e4b9042afc81a452 | [] | no_license | vladuntaru/Notite | 2058d52c70cfe235f3cc120f6fb3688d01e0e4f8 | 370802a009a49f5cb44f4a0564f1d74fbf916745 | refs/heads/master | 2020-03-27T10:15:21.551020 | 2018-08-28T07:13:31 | 2018-08-28T07:13:31 | 146,407,012 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,309 | py | Connect-CreateTable-InsertTable.py | #!/usr/bin/python
import pymysql
dbServerName = "127.0.0.1"
dbUser = "root"
dbPassword = "1448"
dbName = "TestDataBase2"
charSet = "utf8mb4"
cusrorType = pymysql.cursors.DictCursor
connectionObject = pymysql.connect(host=dbServerName, user=dbUser, password=dbPassword,
... |
33b8baf2ca819315eaa5f16c7986390acb4d6efd | da6082484abe8d790a08f8df383f5ae8d4a8ba6b | /last_fm/utils/__init__.py | 4fe202721419079b0ad1963f24b6ce8bb0c4465d | [] | no_license | themylogin/last.fm.thelogin.ru | 6d4e65eb62df4866616ccd42769194a46e4fd5b9 | 69dbe3b287be5e4a2eda1412a0ecd035bcaa3508 | refs/heads/master | 2022-11-27T16:58:56.804614 | 2021-03-25T12:57:48 | 2021-03-25T12:57:48 | 16,201,329 | 1 | 1 | null | 2022-11-22T01:08:32 | 2014-01-24T10:17:13 | Python | UTF-8 | Python | false | false | 333 | py | __init__.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, unicode_literals
import urllib
def normalize_mac_address(address):
return address.lower().replace("-", ":")
def urlencode(s):
return urllib.quote(s.encode("utf-8"), "")
def urlencode_plus(s):
return urllib.quote_plus(s.encode("... |
bf8ffe603b7c1e90deed6a69500ea5b7671e7270 | 767a68dc09176952ca9558270fc16a0c758fc299 | /test.py | 2231c25b3bfa5316339e6ee6bbf7af4b9eaaaab9 | [
"MIT"
] | permissive | izzatnadzmi/suiron | f17b81df7181f90abd7f17155b2c70883ee6a49a | d4a73a02abb6baaf4344a6c99eb854ef6b73cd36 | refs/heads/master | 2021-01-01T17:25:29.850135 | 2017-09-26T15:25:07 | 2017-09-26T15:25:07 | 98,069,465 | 0 | 0 | null | 2017-07-23T02:22:47 | 2017-07-23T02:22:47 | null | UTF-8 | Python | false | false | 2,685 | py | test.py | # from suiron.core.SuironIO import SuironIO
# import cv2
# import os
# import time
# import json
# import numpy as np
# suironio = SuironIO(serial_location='/dev/ttyUSB0', baudrate=57600, port=5050)
# if __name__ == "__main__":
# while True:
# # suironio.record_inputs()
# print('turn90')
# suiro... |
ab1b5d921175394ebba89090df84fd9953dc8fbc | b0fff8d209a9b8b1b2d08c3627f3b1d8933fb1f1 | /fabnet/operations/upgrade_node_operation.py | b65add3888499a7711703f0309c7d1ec0c44c73f | [] | no_license | fabregas/fabnet_core | b4e2cca45be3a99727881a775f893a15563220a2 | 4d02a96e2c6e7f82cef03c7e808e390cdb1f6b6d | refs/heads/master | 2016-08-03T14:10:29.395155 | 2014-07-29T12:50:24 | 2014-07-29T12:50:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,878 | py | upgrade_node_operation.py | #!/usr/bin/python
"""
Copyright (C) 2012 Konstantin Andrusenko
See the documentation for further information on copyrights,
or contact the author. All Rights Reserved.
@package fabnet.operations.upgrade_node_operation
@author Konstantin Andrusenko
@date Novenber 5, 2012
"""
import os
from datetime import date... |
2ff75fadba220f41e76ff59c7c98e85144b42cc1 | 1da4234e9d1996f2bd0123558a24d6aefabd8837 | /meteo_pipe/iot/mqtt/iot.py | 108f5cffd31b96dd8e42248326958e559a36c542 | [] | no_license | rozek1997/meteopipe-serverless-backend | 245e659a0fe67f22ce979cfcf73ef2187992ab4f | aca5e3fb235fb5da8ac4325d8811280d4f6ab890 | refs/heads/master | 2023-02-23T23:43:56.829358 | 2021-01-13T03:54:22 | 2021-01-13T03:54:22 | 321,797,106 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,158 | py | iot.py | import logging
import os
import boto3
HISTORY_TABLE_NAME = os.environ.get("HISTORY_TABLE")
STATUS_TABLE_NAME = os.environ.get("STATUS_TABLE")
dynamodb = boto3.resource("dynamodb")
STATUS_TABLE = dynamodb.Table(STATUS_TABLE_NAME)
HISTORY_TABLE = dynamodb.Table(HISTORY_TABLE_NAME)
dynamodb_client = boto3.client("dyna... |
a948b59292972ee5904dcbb6174de508eebcbe24 | b3518b3e766ade0b8f250488ff79051b1fb45c7e | /tests/flow-d6tpipe.py | a815ebfa9d2247a98ad36a7962bb86c2bb2d493f | [
"MIT"
] | permissive | d6t/d6tflow | 997f27436c612c1dc61761980d1e885c30253d28 | 9ee52f79c6deb6de061a41b72757a119b0eb5b79 | refs/heads/master | 2023-08-09T13:28:43.674585 | 2023-07-20T18:28:08 | 2023-07-20T18:28:08 | 168,899,027 | 1,021 | 78 | MIT | 2022-10-11T03:35:37 | 2019-02-03T01:51:22 | Python | UTF-8 | Python | false | false | 4,690 | py | flow-d6tpipe.py |
#********************************************
# pipe
#********************************************
import yaml
import d6tpipe
import pytest
import fuckit
from main import *
cfg = yaml.safe_load(open('tests/.creds.yml'))
@pytest.fixture
def cleanup_pipe():
d6tpipe.api.ConfigManager(profile=cfg['d6tpipe_profile'])... |
cbeecb4e3ad227b06cc363b01e2751c9eeff9094 | 6c5fe3f6fc4427da282b99c5d2d19c51c7cc09d7 | /Assignment_3/Student.py | a30acb95d5e32b0233bb7ca2c9474ed060228ccc | [] | no_license | sgangl/OOP | 232436e39231687ae76f6b9661932a7cfd55ccfc | 8a016a5c7dd986889ca755bf446bd419dec9e16e | refs/heads/master | 2016-09-05T10:31:42.252413 | 2015-05-12T03:28:15 | 2015-05-12T03:28:15 | 35,459,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | Student.py | class Student:
"""Implements a student in Python"""
def __init__(self, name, grade, id):
self.name = name
self.grade = grade
self.id = id
def printStudent(self):
print "Name: " + self.name
print "Grade: " + self.grade
print "ID: " + str(self.id)
print "********... |
bd79931999cda6a33c6325566a6c09e3047236a2 | a1acf9ede39492138245221ed8a1627eef276dbd | /knowledge_tracing/plot_experiments.py | 3b872d5d06eb14e494e5810163b6b608c92fda5c | [] | no_license | douchmehdi/knowledge_tracing | 1f2db5802cd26cd7a3d13add6f1592be1108bd56 | afb9741bc5315644dc61a881812119a72f8fc67b | refs/heads/master | 2023-08-01T04:05:25.281578 | 2020-05-05T16:36:46 | 2020-05-05T16:36:46 | 258,813,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,178 | py | plot_experiments.py | """ Dirty script to plot some results files againts one another """
import os
import json
import matplotlib.pyplot as plt
from knowledge_tracing import path_algos
DATA_DIR = os.path.join(path_algos, "data")
with open(os.path.join(DATA_DIR, "results_2020-04-24_18-38-14.json")) as f:
results_Qrand = json.load(f... |
506005d2a1a0fd149cf8f0fed08ce73628f64dd4 | 22c0f58f692039a6a15f2cf0276cf4f80d4b1e0f | /hello-cdk/hello_cdk/send_to_rekognition/lambda-handler.py | d3403697a4eda3423942fdc7742f0cd4935209c6 | [] | no_license | devandhrew/awsCapacityCheckr | e22cd16d446f27c1b99e034108aceedaa29bdd86 | bfa249e5165f03261db934a503a20a1e122b92b8 | refs/heads/master | 2023-04-30T21:01:57.365817 | 2021-05-15T20:55:53 | 2021-05-15T20:55:53 | 367,726,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,610 | py | lambda-handler.py | import boto3
def detect_labels(photo, bucket):
# returns number of people detected in image
client=boto3.client('rekognition')
response = client.detect_labels(Image={'S3Object':{'Bucket':bucket,'Name':photo}},
MaxLabels=5)
sum = 0
for label in response['Labels']:
if (label['Name'] =... |
1cbe65dba0e14a7da6aa21f75c571b73681319aa | 6265dff77a24c64e17441cf7481c2d527d689604 | /.py codes/Ex4+rectangle+in+a+circle.py | 2078cb5e9bdfa50d13217ed2d227be31c7c8b4cc | [] | no_license | elguneminov/Complete-Pyomo-Bootcamp-Python-Optimization-Beginners | d793bc39a410117c30748f3a1175a42c21899eec | fa0ed43e27a0bac8bb6e0011b776d546e73a238c | refs/heads/main | 2023-03-04T21:56:25.382058 | 2021-02-20T19:32:30 | 2021-02-20T19:32:30 | 340,729,239 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,177 | py | Ex4+rectangle+in+a+circle.py | #!/usr/bin/env python
# coding: utf-8
# In[10]:
from pyomo.environ import *
# max f1 = 4XY <br>
# st X^2+Y^2=R^2
# 0<X,Y<R
#find the maximum area of a rectangle in a circle
# In[11]:
model = ConcreteModel()
model.R=Param(initialize=10)
model.x=Var(bounds=(0,model.R), initialize=model.R)
model.y=Var(bounds=(0,m... |
4215dc7f56f7f5c211138737d0eda7f1712c0457 | fece46b65dea0bf700f7021b5948112c4d4fbf28 | /ana_common/scripts/MergeCrossSectionFiles.py | 73939dabef0f45bf5bda65fa4589ebc2ce6d5636 | [] | no_license | sultamehr/Ana | 2ff89c6635e7f86c7ba6e18535963b08ea1e1fc2 | a5d2d9a274d2895d4d85c0cfe51587d71e4dcb3d | refs/heads/master | 2020-05-04T01:18:50.667194 | 2019-10-07T11:03:51 | 2019-10-07T11:03:51 | 178,902,267 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,144 | py | MergeCrossSectionFiles.py | import os,sys
import ROOT
#find all cross section files
files = os.popen("find %s -type f -name 'CrossSection_*'"%(sys.argv[1])).readlines()
prefixes = {}
for f in files:
filename = os.path.basename(f.rstrip("\n"))
prefix = filename.split(".root")[0]
prefixes[prefix]=1
options = []
counter = 0
for p in p... |
68cd49b5b7163d9da9d417b115826da8db22c8e5 | fc947f21c63fdeaab8089ba4d5bb9105754542fd | /word_sudoku/test/row_column_crossover_test.py | 20e8103498fef77b8bf1c30fc362fb3a66a68cef | [] | no_license | sdas11/personal-projects | 454b056def2efac1ce75b1c3b0f22dfe344e7814 | bd0ce5e5296b90faaaf6d6e5d43343011ec60ea6 | refs/heads/main | 2023-06-28T12:33:34.021030 | 2021-08-04T01:19:14 | 2021-08-04T01:19:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 642 | py | row_column_crossover_test.py | import numpy
from ga_component.row_column_crossover import crossover
if __name__ == '__main__':
# Example 1
parent_a = [
['A1', 'A1', 'A12', 'A1'],
['A2', 'A2', 'A23', 'A2'],
['A3', 'A3', 'A3', 'A3'],
['A2', 'A4', 'A4', 'A4']
]
parent_b = [
... |
db8eb3ea08895f14f99c0bea8af3d501b41bacf0 | 1d0b077d6d44513df08e78f1d289070fb5e21f36 | /user/models.py | 968a945ab98fd98b63ec2d4ee05747732c1f533a | [] | no_license | RedXBeard/hadimac | f5c874adbe5653ac001a20924c0263cfd2f2bdd4 | a8cbc1ce4fe140a270e7ab92e2574c4699f69ec2 | refs/heads/master | 2021-01-10T18:30:41.438819 | 2010-06-07T11:09:16 | 2010-06-07T11:09:16 | 32,139,881 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,854 | py | models.py | # -*- coding: utf-8 -*-
from django.db import models
from django.contrib.auth.models import User
from hadimac.mac.models import Match, Team, MatchRequest
import datetime, sha, random, time
class UserProfile(models.Model):
user = models.OneToOneField(User)
get_forum_activity_as_email = models.BooleanField(de... |
d128621c8d854355818e2f72580a424ef112ca17 | 9a4ad50738b7a6b880811ad3323ab8276b66f712 | /NPUSCH-BLER-Sim/monitor.py | 35482b308c559cf4fbd78b3b27b0e06cd79e8e63 | [] | no_license | CSC-CONICET/Lite-NBIoT-NPUSCH-Simulator | d807eaa36d01edc7adcad441a952919f79679814 | 14cbef3a70ecffddca9dea68d3f5bf40d800fc6b | refs/heads/master | 2020-05-25T08:48:45.469381 | 2019-10-19T01:19:01 | 2019-10-19T01:19:01 | 187,721,195 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 619 | py | monitor.py | import sqlite3
import inspect, os
import shutil
import time
import datetime
rootdir=os.path.dirname( inspect.getfile(inspect.currentframe()))
db="test.db"
dbname=os.path.join(rootdir,db)
dbclone=os.path.join("/tmp",db)
total=14*8*8*501
while True:
shutil.copy(dbname,dbclone)
conn=sqlite3.connect(dbclone,isola... |
ee6516677a8787d3c994ed3101392ae34608bed2 | 01f0f002ad2080f6bc1093d0541ad073615d5828 | /ahwz001/0007/0007.py | 1ebb4f127c1883734a86b6f7fe4c2745f783e2d2 | [] | no_license | ahwz001/python | add1f86c16d9e2c061cd2973fa4f292b10c85c02 | f6fc56ada3b90e2bd23052190586df8a257d3f2d | refs/heads/master | 2021-01-01T17:07:28.675619 | 2017-10-03T07:03:08 | 2017-10-03T07:03:08 | 98,003,775 | 0 | 0 | null | 2017-07-22T03:18:51 | 2017-07-22T03:18:51 | null | UTF-8 | Python | false | false | 995 | py | 0007.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
* 0007
* by ahwz001
* 2017/8/4
* thanks this project, I learned some very useful Program.
"""
import os
total_lines = 0
empty_lines = 0
comment_lines = 0
def process_file(fn):
global total_lines
global empty_lines
global comment_lines
with open(fn) ... |
7e3821ce52e744485294e41dfa8c1b9c64d6be0e | 08242be7c49dc0c43020b4a063250c8966796262 | /apps/users/serializer.py | 90d030fee72fb7dde2f1995556dd14246897f230 | [] | no_license | Phimanlol/petsite | 33f81b188d0d7417e823dad613610a84d312104d | 0e44e6d437837a5d6824dddf7868c3343c700de2 | refs/heads/master | 2020-03-31T00:09:32.226230 | 2018-10-05T14:14:52 | 2018-10-05T14:14:52 | 151,728,169 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | py | serializer.py | # -*- coding: utf-8 -*-
from rest_framework.serializers import ModelSerializer
from .models import Users
class UsersSerializer(ModelSerializer):
class Meta:
model = Users
fields = ('last_time', 'gender', 'mobile', 'category') |
d92ea8f5b9443f01b23ca788789548ba53967c95 | 3d19e1a316de4d6d96471c64332fff7acfaf1308 | /Users/A/alucabfreelancer/cheapbeachbikes.py | 9f1691f420633a65d3644c48446850eef66944c1 | [] | no_license | BerilBBJ/scraperwiki-scraper-vault | 4e98837ac3b1cc3a3edb01b8954ed00f341c8fcc | 65ea6a943cc348a9caf3782b900b36446f7e137d | refs/heads/master | 2021-12-02T23:55:58.481210 | 2013-09-30T17:02:59 | 2013-09-30T17:02:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,562 | py | cheapbeachbikes.py | import scraperwiki
import sys
from bs4 import BeautifulSoup
#searches = ["http://www.cheapbeachbikes.com/product/700-1130_Firmstrong-Urban-20%22-Beach-Cruiser-Girl"]
searches = ["http://www.cheapbeachbikes.com/product/700-1130_Firmstrong-Urban-20%22-Beach-Cruiser-Girl","http://www.cheapbeachbikes.com/product/700-1120_F... |
40ed3e1e320ad3918037ea1d781018097f4be827 | e5090b53a9fb034487652712e0c31fa605f8b7b2 | /PIL库学习/python学画画（上）/sketch2.py | ed61296d377aa22725e1be202998b73fafbb6987 | [] | no_license | FelicxFoster/python_record | 74d6b0e174c75b9897f82eb6dd1ca1e40c6d508e | 9f88b47618fc1527d9599865bbbdb58bd697d199 | refs/heads/master | 2020-04-23T05:47:43.382768 | 2019-02-16T01:40:13 | 2019-02-16T01:40:13 | 170,951,492 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,285 | py | sketch2.py | from PIL import Image
from sys import argv
from random import randint
image_path = argv[1]
original_image = Image.open(image_path)
new_image = Image.new('L', original_image.size, 255)
length, width = original_image.size
original_image = original_image.convert('L')
PEN_SIZE = 3
COLOR_DIFF = 7
LINE_LEN = 2
for i in ... |
0f40a712ca2f473d0c37a66a877f07f5c1df7854 | 8d1bf1562da6fee9809ade3037005493f42998cd | /helpers/jsonTransform.py | 6f9059aea03b3d3ecdab8098a8a9e5c6fd0717eb | [] | no_license | Dusk252/magireco-graphql | d26213fc644ff69c77859e6adeef8cdad419dc5b | 515092321eae68f278b66060919a474d7de38e76 | refs/heads/master | 2023-02-27T15:56:45.853060 | 2021-01-31T09:21:57 | 2021-01-31T09:21:57 | 290,431,151 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,274 | py | jsonTransform.py | import json
import re
import os
input_path = 'json/charaCard.json'
output_path = 'json/charaCard_parsed.json'
def remove_redundant_card_props(character):
keysToRemove = []
chara = character['chara']
for key in chara.keys():
if (re.search(r'defaultCard(\.)*', key) or re.search(r'evolutionCard(\.)*... |
367f2eb6b8c86d1da48f51a1dc3e55819ac42aab | 1b52b05041b201cda35c7299998ff7f1e2ff3b1a | /landuse_by_buffers/main.py | 497c541719b4188a6f9889b91e70de517046e421 | [
"Unlicense"
] | permissive | trolleway/osm-scripts | e778c53f4c52d06e2c757ff856f36320e28d15cf | 07faf7091bdbd5615195081b47807e474520de40 | refs/heads/master | 2021-05-01T16:29:13.968465 | 2021-01-19T10:28:44 | 2021-01-19T10:28:44 | 16,795,923 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,636 | py | main.py | import os
import psycopg2
import config
#Take an roads.geojson, and make a many polygons beetwen roads in osm format.
#Open OSM file in JOSM, and you get a fancy medium-zoom landuse map
def process(ConnectionString):
try:
conn = psycopg2.connect(ConnectionString)
except:
print 'I am unable to connect to the da... |
6e38a908f687c4d6a3af7898340e83101626f8a1 | d7a6e282d128323909d5cebcf14b9be2f10a42c5 | /ServerCodeFinal.py | 10476dd8e19ce0f75ed5f79d3bcbe5726bdf9e09 | [] | no_license | cryptobuks1/P2P-DistributedIndex | 87dcce0b07f40e9793b6d0a5d4c9e216a8df6a8a | 85e1ac79f92ff5baa2cff297b0e9d290c414ca18 | refs/heads/master | 2020-12-01T18:13:22.441316 | 2019-12-18T17:43:54 | 2019-12-18T17:43:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,163 | py | ServerCodeFinal.py | import socket,time,LinkedList,threading,random,sys,os
class RS_Server():
def __init__(self):
self.PeerList=LinkedList.RS_Peer_List()
self._lock=threading.Lock()
self.s=socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.Adress=('',65423)
self.s.bind(self.Adress)
def Register(self, data):
with self... |
12fb30a9e780efe492c90fcd9fac3ad43b64e098 | 154ef3572047abb456b60a12585bdfc5104efc40 | /src/coffeecompressorcompiler/filter.py | 48c980173e660e87523caaebc4ded2ccf302307e | [] | no_license | apmorton/coffee-compressor-compiler | 4b017469beccc2bded6657c936c8ee1aa8a3ae53 | b388e646366c1c091e028436ce4128bf74f9b03c | refs/heads/master | 2020-05-28T04:09:05.525913 | 2013-10-08T13:39:55 | 2013-10-08T13:39:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 432 | py | filter.py | from compressor.filters import FilterBase
from coffeecompressorcompiler import CoffeePrecompiler
class CoffeeScriptCompiler(FilterBase):
"""CoffeScriptCompiler"""
def __init__(self, content, attrs, **kwargs):
super(CoffeeScriptCompiler, self).__init__(content, **kwargs)
self.cp = CoffeePrecom... |
62bc3709ceb5f47523a840e211c31b5576036432 | 668b31ebac6aa5382da021780b52dc6a405f3bc3 | /curdPro/curdApp/views.py | 53d28bb917738ea96fc2dab4025cbd1547da7d20 | [] | no_license | manishbhashkarsawn/curdprojects | af018f8c39acd6b630c345c2619aba2706375ea5 | 5079303041eb652bb9123ffb93bda66d623436b6 | refs/heads/master | 2020-12-31T23:44:44.822165 | 2020-02-08T06:41:29 | 2020-02-08T06:41:29 | 239,082,283 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,233 | py | views.py | from django.shortcuts import render
from .models import ProductData
from .forms import DeletingDataForm,UpdatingDataForm,InsertingDataForm
from django.http.response import HttpResponse
def main_page_view(request):
return render (request,'curd_main_page.html')
def create_page_view(request):
if request.method==... |
8153ffe21edcf7da8eaeee0a157b091b8c8dcf3a | 770a8bb15cd9060b88c41054599ed3e5b195b10f | /tests/cogs/bible/daily_bread/test_daily_bread_group.py | a1ae9157dbb48295dda7713a8b26637ced137b88 | [
"BSD-3-Clause"
] | permissive | bryanforbes/Erasmus | 9e54ae5105efe1eda68da2386c2527473265d12c | dd2c6cecb9a101312739f2c50e631f5e5b265f1a | refs/heads/master | 2023-08-31T05:07:33.269205 | 2023-08-30T17:53:34 | 2023-08-30T17:53:34 | 101,083,292 | 20 | 9 | BSD-3-Clause | 2023-09-13T06:54:04 | 2017-08-22T16:17:56 | Python | UTF-8 | Python | false | false | 34,471 | py | test_daily_bread_group.py | from __future__ import annotations
import asyncio
from typing import TYPE_CHECKING
import discord
import pytest
from attrs import evolve, frozen
from erasmus.cogs.bible.daily_bread.daily_bread_group import (
DailyBreadGroup,
PassageFetcher,
)
from erasmus.data import SectionFlag, VerseRange
from erasmus.exce... |
045cf289e2e56c436d5301a05725526cd87d97bf | 65a31813473e090402bd4c7bea7a71b10c3ed3f8 | /data_structures/dictionaries_comprehension.py | aa5d2446b2f8228770dcbd21f494c74c7e682d1c | [] | no_license | aliahmadcse/Learning_Python | f1123cc810c7b2e5c249b7e468e37da9811e856a | 04ed34ff431d187c2c33f1c72dca03035b1d2e2c | refs/heads/master | 2020-07-24T23:49:52.812928 | 2019-09-12T17:01:48 | 2019-09-12T17:01:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | dictionaries_comprehension.py | from sys import getsizeof
# number = []
# print({item:item*2 for item in range(5)})
number=(x for x in range(1000))
print(getsizeof(number))
for x in number:
print(x) |
fdd2ce3443a40fa9f97799aac2abc7d97bdbe975 | cfe41f68f33f69c1228d61c8c8d33840ab02bc2c | /source/webapp/migrations/0003_auto_20181227_1031.py | 9c142fffb03ed36ec308b9b0390ae444cf0090b7 | [] | no_license | galubezzz/python-group_1-homework_44-maria_galunova | 0c8603d7c5c67d26f89fd38df5b49457e144b7de | 8bcc6eff586cccb13d7416f8102a52a415992ca9 | refs/heads/master | 2020-04-13T04:25:23.467423 | 2019-01-22T01:37:56 | 2019-01-22T01:37:56 | 162,961,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 431 | py | 0003_auto_20181227_1031.py | # Generated by Django 2.1 on 2018-12-27 10:31
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('webapp', '0002_auto_20181223_2124'),
]
operations = [
migrations.AlterModelOptions(
name='order',
options={'permissions': [('c... |
132549ae3c6e2219c2f736919837c754afab8f2e | 4583606ffcb09158b89437bf1f3bd094500847cd | /python/FormaisLib/src/automato_finito/testes/TesteAutomatoFinito.py | c7902ac78bd727de7837022a7cda60a7c92122f1 | [] | no_license | katcipis/playground | 7693914497a5f7af089a0c06c9f3c9a46227cdf6 | 7559ddc567091a7352fcf2942b57afe4351466ce | refs/heads/main | 2023-07-09T18:24:17.864361 | 2023-06-26T20:50:11 | 2023-06-26T20:50:11 | 22,303,201 | 0 | 4 | null | 2023-05-17T18:15:59 | 2014-07-27T04:27:12 | C++ | UTF-8 | Python | false | false | 11,794 | py | TesteAutomatoFinito.py | '''
Created on 23/09/2009
@author: katcipis
'''
import unittest
from automato_finito.AutomatoFinito import AutomatoFinito
from automato_finito.AutomatoFinito import ErroConstruindoAF
from automato_finito.AutomatoFinito import AFOperacaoIlegal
from automato_finito.Estado import Estado
from automato_finito.Transicao impo... |
43e17f7ce9e406e0a18500c47e0d671e3a04b6fe | 4897f8b20f3bfc2209157f40e7aa1c3ea39ab213 | /population.py | 3ea256bf0b63c2f19d3af035b49b4b3cc2a46fee | [] | no_license | denizerdogan/genetic_algorithms | cb8239363bda8ee94351e974a629513eb76d638e | a594918531c9b348d1c89b0d6f81be8d8a11e0d6 | refs/heads/main | 2023-06-02T22:29:21.370439 | 2021-06-13T16:21:10 | 2021-06-13T16:21:10 | 376,587,912 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,909 | py | population.py | from math import trunc
from ball import *
import random
class Population:
def __init__(self, size) -> None:
self.size = size
self.balls = [Ball()]*size
for i in range(self.size):
self.balls[i] = Ball()
self.generation = 1
self.bestball = 0
self.minstep = 500
self.fitnessSum = 0
... |
7f813c19e63643af0ba751ab15a1bdeb7f6117e7 | 078ed666be552e9ec37353a2e7141355d7d7249a | /function/clusterByQuan.py | 5d8189bf4130a40aa8afb3ff6b1fe4399c838a18 | [] | no_license | Xiaominzhu/FuzzyCluster | 60a2b88c836da5a3d467dbe9a67881b555590842 | 837aa26ced42c9ccd1a27eefabde89d91accda72 | refs/heads/master | 2020-03-21T05:47:45.903339 | 2018-06-21T14:20:52 | 2018-06-21T14:20:52 | 138,181,064 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,001 | py | clusterByQuan.py | # -*- coding:utf-8-*-
from __future__ import division
# 计算两个概念之间的相似度(仅仅基于对象)，并写入文件,
# 并返回模糊形式概念字典，如：{'e5':'4,5','e4':'1,2'}
def culSimByQuan(mergePath, simPath):
fConcepts = open(mergePath, 'r')
fwrite = open(simPath, 'w+')
ConceptsDic = {}
sum = 0
edgesnum = 0
for lineCon in fConcepts.readline... |
49dc3b20cd0f01115d34b3b809ed9ded32dc6eab | 1c1188c8830af7211cb4e1b40b1b6b782459210a | /app_flask.py | ba16eab46a4cc6c2d052adfd935843a5fd863ce7 | [] | no_license | HigorC/locksmith | bb47e91a60d1f9122c60321ebdfabbfbb5dbbe77 | 7833205001f8b08e969fc9e065227120c4781495 | refs/heads/master | 2020-07-03T20:43:08.056177 | 2019-08-16T21:16:19 | 2019-08-16T21:16:19 | 202,044,092 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 186 | py | app_flask.py | from flask import Flask
from routes import app_blueprint
def create_app():
return Flask("__main__")
def configure_app(app):
app.register_blueprint(app_blueprint)
return app |
cf269eb3b91f52b38691c224bb1354a5c275964b | 741b9e6447eacf9e40f3059a01485436b9da4b14 | /faq_model.py | fe2ca6d6adcb3eae6ab0f53a43743a63fca5e3c3 | [] | no_license | trangnm58/NTU_FAQs_Chatbot | e50a7260f3d0c951c5f66080f1a49da1798542f4 | b5b34a80ab28cbf0a5aa52b130248876131cfc1a | refs/heads/master | 2020-04-05T03:37:26.357465 | 2018-12-10T03:32:27 | 2018-12-10T03:32:27 | 156,521,394 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,413 | py | faq_model.py | import argparse
import tensorflow as tf
from sklearn.utils import resample
from models.pairwise_model import FixedAttendNeuralScoreRanker, NoAttendNeuralScoreRanker, RelationRanker
from utils import Timer
from dataset import Dataset, get_trimmed_embeddings
from constants import DATA
class NtuModel(RelationRanker):
... |
d3bf6e68c0412093eaac944f91853db57b6103b5 | f10a7d9197ec6eb0707bbebfab05c97cd6455733 | /example.py | 8d6b1c9e3096fd35e65b11fc32b3160d7429a6c5 | [] | no_license | ibeckman/swarm_robot | 21567b4d65f30d641606ff3e044878710f6bb92f | d5dc7ec232d5cd3e36f96ff3904475a59cc53f21 | refs/heads/master | 2020-05-29T11:35:55.189905 | 2016-04-25T20:43:42 | 2016-04-25T20:43:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 230 | py | example.py | from robot_controller2 import RobotController
import time
def driver(sensor_input):
time.sleep(0.1)
return (5, 5)
for j in range(2):
for i in range(1):
r = RobotController(True)
r.run(driver, 12)
|
433a7832ac833540547508f00873c5d87053a018 | 36b9fd30547471500e53f79067589a35f80d7106 | /Steganography/audio_to_text.py | a4e97ddbbe4864e80f96dd08460b487641e3274c | [] | no_license | Nabin-Flash320/minor | 9df37ad6ef73a6887f25afa384badd50d57691c4 | 4c306f362f26e8244aaba1bfc2b517b9fe1be7a6 | refs/heads/master | 2023-01-14T11:55:02.705078 | 2020-11-23T04:37:38 | 2020-11-23T04:37:38 | 315,200,129 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 932 | py | audio_to_text.py | #importing wave pckage for audio processing
import wave
class AudioToText:
def decode(self, filePath):
#Reading an audio
# song = wave.open("song_embedded.wav", mode='rb')
song = wave.open(str(filePath), mode='rb')
# Convert audio to byte array
#frame_bytes stores the list of bytearrays of all frames from... |
a18730ec7e74be6a7fe6fa40dd926e151fa61dfb | f830d02fc1b3c952aa303da61843821856cd6d8a | /homePage/models.py | a4754395284045b6ac2a956771f0581a491ce3c4 | [] | no_license | amruth27m/ladakh-scenery | d91c6043836689358c3f44fd60747b509d940b5d | 6159e3f8aaa36df1d9db464871e005c8aab2ed48 | refs/heads/master | 2020-04-11T23:40:31.041736 | 2018-12-18T17:11:52 | 2018-12-18T17:11:52 | 162,175,056 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,079 | py | models.py | from django.db import models
# Create your models here.
# TODO: Read data from this model in home template 1. Contact-details 2. Package details
class ContactDetails(models.Model):
def __str__(self):
return "Contact details displayed in home page"
cid = models.IntegerField(primary_key=True)
email... |
67f34e845aba8e21b4edbb32f52c1f1732813cc9 | 43a1b3afeef61509488915328eb9aceea098c039 | /setup.py | 712bdc0ede25426a253cf2f1e8c1a61ac8b5c2bf | [
"Apache-2.0"
] | permissive | 34-4e-36/malchive | 03aba6a41a4462e1c6ee713b1d05a19d680fbe3b | 29de19095d9a8eb9b2fd3fb41148dfd69187199b | refs/heads/main | 2023-05-30T19:16:18.889864 | 2023-03-22T20:38:28 | 2023-03-22T20:38:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,940 | py | setup.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright(c) 2021 The MITRE Corporation. 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/lice... |
5e41b30ec4f2fafb2e3ef9f35183e922a66188bd | 9c60c85cc88a4c19a5d3d2c6189083c0a4dd6ffb | /backend/app.py | 9b028dc26f4e44941fb48a649da22b4da1feecaa | [
"Apache-2.0"
] | permissive | nakjunizm/BlackMamba | e155777f1df343da0e05b3f7698c83fe361c1f8b | 2cfc2cceab10c7292e021cbd584923926eb332ca | refs/heads/master | 2020-06-21T05:54:47.277952 | 2016-12-11T05:06:51 | 2016-12-11T05:06:51 | 74,801,192 | 2 | 0 | null | 2017-02-01T02:09:35 | 2016-11-26T03:01:41 | Python | UTF-8 | Python | false | false | 442 | py | app.py | import falcon
import data
from wsgiref import simple_server
api = application = falcon.API()
es_client = data.ESController("localhost:9200").es_client
print (type(es_client))
docs = data.SearchDocs(es_client)
# api.add_route('/images', image_collection)
# api.add_route('/images/{name}', image)
api.add_route('/data',... |
4e39f756cfd3e45cbe61f70d62743f82f3046f10 | b8d80a23cb27af08a1c4d34b478c76228ae5fbb4 | /insights/parsers/neutron_l3_agent_log.py | ca2d40d0f89205406241ed6480d31defd5247a98 | [
"Apache-2.0"
] | permissive | RedHatInsights/insights-core | bb243e2bf8a52446fefb95ebe05478d6e35efe2e | b0ea07fc3f4dd8801b505fe70e9b36e628152c4a | refs/heads/master | 2023-09-04T21:15:40.456257 | 2023-09-04T10:46:56 | 2023-09-04T10:46:56 | 92,518,221 | 144 | 290 | Apache-2.0 | 2023-09-14T02:40:13 | 2017-05-26T14:23:11 | Python | UTF-8 | Python | false | false | 1,401 | py | neutron_l3_agent_log.py | """
NeutronL3AgentLog - file ``/var/log/neutron/l3-agent.log``
==========================================================
"""
from .. import LogFileOutput, parser
from insights.specs import Specs
@parser(Specs.neutron_l3_agent_log)
class NeutronL3AgentLog(LogFileOutput):
"""
Parse the ``/var/log/neutron/l3... |
b8262d4f9a835f294b28b9712c2da7dd0ed3b6c0 | 100bc1d8d17fcdfb5560b41da91ab78ecfe7e58c | /lesson3/task4.py | 1bb131df6bd639687b0c6bfcdb7428f77e93c82e | [] | no_license | Klivanskaya/python_course | 10bec7ca587868ca729c7bcf0a7d171917f01381 | e33025d7d967daf2acfaf447d2927f9ef8d76437 | refs/heads/master | 2020-09-02T12:03:09.817766 | 2020-03-20T09:07:13 | 2020-03-20T09:07:13 | 219,217,260 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 178 | py | task4.py | any_line = str(input("Enter any line: "))
half_line = len(any_line)//2
print('First half is : ' , (any_line[0:half_line:1]))
print('Second half is : ' , (any_line[half_line: ]))
|
3a0f24a1e3309722dbba41a8eaa75291df1060ad | dfe2f8b4ad1e25066bcb6adff28637d4dd7e7bb1 | /imagine/migrations/0002_auto_20210407_0105.py | 4dc39c880f83bd46f998693006dbc540f6de64aa | [] | no_license | deft727/ImageTest | a7dca34915156bcbe7d59675e7d51199c35b046b | fbb20a2712d32e29336fdab3b4a89098e8c92b40 | refs/heads/main | 2023-04-02T18:06:28.603422 | 2021-04-07T09:54:11 | 2021-04-07T09:54:11 | 355,493,199 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,670 | py | 0002_auto_20210407_0105.py | # Generated by Django 3.2 on 2021-04-06 22:05
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_resized.forms
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... |
38bfe1239b5c38984e37e72301f37b59e8491972 | 93812573dbd3983c02a56be634dfa9cd41f95f6a | /Spark_Streaming_ETL/NewsLogToCSV.py | c567ad293a860d667c207dbc38101175604fde55 | [] | no_license | nangkyeong/prj_COMPATH | fee9e8af95d0767d1b35e00cb962e1d4045771c1 | 04758aa6fa840b87bce6a5accf767d003acadb7e | refs/heads/master | 2022-12-22T23:07:16.360551 | 2019-12-06T01:56:46 | 2019-12-06T01:56:46 | 196,950,471 | 0 | 0 | null | 2022-12-16T09:44:13 | 2019-07-15T07:48:27 | Java | UTF-8 | Python | false | false | 4,254 | py | NewsLogToCSV.py | import ast
import time
import os
import pymongo
import pandas as pd
from pyspark.context import SparkContext
from pyspark.streaming import StreamingContext
class NewsLogToCSV(object):
"""
Process news logs into a csv files.
Extract new id number from logset,
count the keywords of all news and the n... |
d5b36c68878691ad8891b1e6d80274eb38d18f39 | 9920a076f9a2e50c967195cfc0e0e8903c1d9c00 | /data_loader.py | ef9907947290bc6c120cc1e90d0a40d265fbc439 | [] | no_license | kaminoteto/SJTU_2019_machine_learning_project | 3d8e10f2c264c9d6f6ed40ecb15cf41ecd9a9488 | 197b61e97b5dc6483156f3b1269a34dc6b5bd6bc | refs/heads/master | 2020-12-03T15:42:16.828688 | 2020-01-03T09:46:40 | 2020-01-03T09:46:40 | 231,375,003 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,957 | py | data_loader.py | #import cv2
import csv
import os
import pandas as pd
import numpy as np
#
#files_path = "./train_val"
def file5array(file_path, batch_size,variaty):
#filenames = os.listdir(file_path)
#file_num = len(filenames)
#print(image_num)
database = pd.read_csv('train_val.csv')
A_lable = databas... |
94de8bf7f5c331d8e160927d213c20f7b98a4ae2 | c41a375667365a75d2b126fa8f89a6fa5890863f | /tests/unit/modules/test_ansiblegate.py | d54d8ce1743b4faad83f7831a34b7f3874286ff3 | [
"Apache-2.0",
"MIT",
"BSD-2-Clause"
] | permissive | sathieu/salt | 6c921a2a45acb35ce34cea736ca9a7f3a2f891b7 | 310405df2c2a0dafa07b39eb54178d0031ed12ee | refs/heads/master | 2021-06-23T13:41:10.223445 | 2020-05-21T10:35:03 | 2020-05-25T04:06:02 | 156,228,110 | 0 | 1 | Apache-2.0 | 2020-10-12T18:29:10 | 2018-11-05T14:09:38 | Python | UTF-8 | Python | false | false | 7,173 | py | test_ansiblegate.py | # -*- coding: utf-8 -*-
#
# Author: Bo Maryniuk <bo@suse.de>
#
# Copyright 2017 SUSE LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... |
f26389c34d3ecf3cbe348b108ccbb8dc35e323a8 | 757b6b25bec0e5c9e306b77e93866915c4dfe473 | /libsmev/test_libsmev.py | 80bf6b1fcfe156f152e56c954d3ef681f946ab80 | [] | no_license | barsgroup/libsmev | 1f51ff881fb4ae41a8a4863efb91240eecc0eeb1 | a3dbcb7494e2e9e803b26e44b9b37e5ef27b13af | refs/heads/master | 2016-09-05T20:50:11.248030 | 2014-09-24T05:50:02 | 2014-09-24T05:50:02 | 17,284,070 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,433 | py | test_libsmev.py | #coding: utf-8
import shutil
import base64
import StringIO
import uuid
import unittest
import os
import zipfile
from lxml import etree
from mimetypes import types_map
from tempfile import NamedTemporaryFile, mkdtemp
from skeleton import construct_smev_envelope
from helpers import dict_to_xmldoc, extra... |
a4ea505441d0a715519f762045cbcae1be5bd8e7 | e03c9872e93dd7292eed3224de43675a94314c6d | /quantificadores/zeroUm.py | 5f97adb426f7fe22763c747d548491fda247bb60 | [] | no_license | hugodecastro/curso-regex | aa688181a7cfd25d0cd72342c1679903f8c11268 | 9e7baaecc9d04a44a5c840c3c7972de8f993df6f | refs/heads/master | 2022-12-28T22:48:59.792900 | 2020-10-11T19:52:52 | 2020-10-11T19:52:52 | 298,703,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 216 | py | zeroUm.py | import re
texto1 = 'De longe eu avistei o fogo e uma pessoa gritando: FOGOOOOOO!'
texto2 = 'There is a big fog in NYC'
regex = 'fogo?'
print(re.findall(regex, texto1, re.I))
print(re.findall(regex, texto2, re.I))
|
949c8bbe8656e0dd689ff185e4173eee5efe23aa | 1885e952aa4a89f8b417b4c2e70b91bf1df887ff | /yukicoder/133.py | 32687bd6464b82023889b63b2e22942b9edd8af9 | [] | no_license | takumiw/AtCoder | 01ed45b4d537a42e1120b1769fe4eff86a8e4406 | 23b9c89f07db8dd5b5345d7b40a4bae6762b2119 | refs/heads/master | 2021-07-10T12:01:32.401438 | 2020-06-27T14:07:17 | 2020-06-27T14:07:17 | 158,206,535 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 489 | py | 133.py | import sys
readline = sys.stdin.readline
from itertools import permutations
from math import factorial
def main():
N = int(readline())
A = list(map(int, readline().split()))
B = list(map(int, readline().split()))
cnt = 0
for l1 in permutations(A, N):
for l2 in permutations(B, N):
... |
af04d6cb0753a32a85208c01f6696349d91beb15 | 76e062b0d4df2a894906ebe3082f9ab413ee3663 | /getIg.py | 890a7636c6def5ad505d99b58e47c6968678db42 | [] | no_license | rzehumat/HPGeResAnalyzer | 399983abb93c75657cb980ca3c4ee9e8ad7adcaa | 12f24f7be76a609ef43691c779d608dc72c9ec88 | refs/heads/master | 2023-05-14T15:07:04.541129 | 2021-04-04T19:40:06 | 2021-04-04T19:40:06 | 338,467,254 | 0 | 0 | null | 2021-04-04T14:48:04 | 2021-02-13T00:39:53 | Jupyter Notebook | UTF-8 | Python | false | false | 2,299 | py | getIg.py | import pandas as pd
import os
import glob
from pathlib import Path
from sys import argv
from getEpsilon import file_name_parse
def append_Igamma_dir(parsed_dir):
if not os.path.isdir(parsed_dir):
raise Exception(f"Directory '{parsed_dir}' not found."
"Consider creating it and movi... |
e02bb5ebb51036b86b732923acc4a27b72022afd | bf280df59d2a4592c1ded1474f23385c4addba89 | /gem/db/core/cache.py | 632c94cd305a9e8c200f5c1f853608f3a65cc854 | [] | no_license | akdasa/gem | f382c7bbe2d3987bf87e264684e50ac0475f5de6 | 15ca96d702443a8e256400e1ec13ed0b739348e1 | refs/heads/master | 2021-09-21T04:41:35.218007 | 2018-01-20T15:07:16 | 2018-01-20T15:07:16 | 106,115,014 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 713 | py | cache.py | class Cache:
def __init__(self):
"""Initializes new instance of the Cache class."""
self.__cache = {}
def set(self, oid, entity):
"""Adds object to cache
:type oid: str
:type entity: object
:param oid: Object Id
:param entity: Object"""
self.__cac... |
00f9a958fa67b3fc90fe711f3f44550ca30f2d16 | 0f88a69eee5c8a2b1541f432f7ffe1db5c83381e | /Packet/Iterator.py | 29cf89d5b03a72b99156b74d8fc7cdbbc869c55e | [] | no_license | jiayu-daemon/python_ai | 9ef8bf45afa6075ac81a03e4d3629c057c88096c | 0a7a799caa2dcd98dd0b7b85ab10bf4086684e7e | refs/heads/master | 2021-01-21T11:47:14.290376 | 2017-12-13T04:18:41 | 2017-12-13T04:18:41 | 102,022,994 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | Iterator.py | list=[1,2,3,4]
it = iter(list) # this builds an iterator object
print (next(it)) #prints next available element in iteratorIterator object can be traversed using regular for statement
for x in it:
print (x) |
b4dea400f546cefedd4f120b6c336a59dbaa3c94 | d7ee65cf079c1f85a45580d107eba2d630a88883 | /src/offline/movie/model-update-deepfm/model-update-deepfm.py | d910f15102a628f6196a770a64b57f1629132c67 | [
"Apache-2.0"
] | permissive | Archer-sssyc/recommender-system-dev-workshop-code | ab1ac391e51487f0d5f293ed6133c938f7670675 | 61fdcfaae60824412c793affcf3f98755a4ac47b | refs/heads/main | 2023-08-05T17:55:17.405766 | 2021-09-23T07:11:31 | 2021-09-23T07:11:31 | 387,366,768 | 0 | 0 | null | 2021-07-19T06:49:57 | 2021-07-19T06:49:57 | null | UTF-8 | Python | false | false | 10,842 | py | model-update-deepfm.py | # deepfm模型训练逻辑
# 基础依赖
import argparse
import os
import pickle
import random
import subprocess
import json
import boto3
import numpy as np
import pandas as pd
from deepmatch.layers import custom_objects
from sklearn.model_selection import train_test_split
# 模型相关
from tensorflow.python.keras.models import load_model
fro... |
322a4a5970c6c7903e93c1775c473048f8d6dee0 | 54cc74ca6daf25d4b532c73cb67ff01f93cf4cc6 | /test/vpl_node.py | 8660f5b4e4208c13db5bd718f41c2fc1a846e96e | [] | no_license | eljungg/Capstone | 032b9ff86f4c4b3edfb6e8de1a123b1a77ee8e02 | 47080c0fad090309db4ac1933a9ae45ff5d4e3ba | refs/heads/master | 2023-04-21T11:59:49.516031 | 2021-05-17T20:19:17 | 2021-05-17T20:19:17 | 305,478,518 | 2 | 0 | null | 2021-04-22T01:09:10 | 2020-10-19T18:31:12 | Python | UTF-8 | Python | false | false | 7,390 | py | vpl_node.py | from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from nodeeditor.node_node import Node
from nodeeditor.node_content_widget import QDMNodeContentWidget
from nodeeditor.node_graphics_node import QDMGraphicsNode
from nodeeditor.node_socket import *
from nodeeditor.node_edge import *
from ... |
5f939af117230dab59a585175b260530d0bb35a0 | 06d52c7c46d9d6f06a3a68768d91973f2dc66eda | /train.py | ce7e70be1519372d70208a7be51007b25228fa32 | [] | no_license | take1014/pspnet | 5de625c3df96dfc27092c6d10d2fcc82a642de00 | 91e87f2270359a357956bbba657db6357026108f | refs/heads/main | 2023-05-11T17:24:27.528567 | 2021-05-29T14:09:49 | 2021-05-29T14:09:49 | 371,877,288 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,211 | py | train.py | #!/usr/bin/env python3
#-*- coding:utf-8 -*-
import os.path as osp
import config as cfg
import torch.utils.data as data
from data_transform import DataTransform
from dataset import VOCDataset
def make_datapath_list(rootpath, txt_path):
img_list = list()
anno_list = list()
# path template
imgpath_tem... |
be5d35effc64c7b66ae9aebe6ac8210ad9dc1b16 | 212c092081683bd24516b2794e55139415aebe10 | /srv/fakturace/routes.py | bcf646ef6b229962385eda5b1963ac5f4bde27c4 | [] | no_license | cosmik2002/my_server | b4835c9decea34ba64f52cdb9724b9977c6e35c4 | 21a1ee21046ab47eddeafac7c9f4422ef0aeae7c | refs/heads/master | 2022-12-10T01:14:57.475805 | 2019-04-26T07:55:10 | 2019-04-26T07:55:10 | 172,050,951 | 0 | 0 | null | 2022-12-08T01:38:02 | 2019-02-22T11:00:22 | Python | UTF-8 | Python | false | false | 2,362 | py | routes.py | from flask import render_template, current_app, request
from srv.fakturace import bp
from srv.models import knihafaktur, adresy, odberatele_311, knihafakturpolozky
from srv import db
from flask_login import login_required, current_user
from flask_table import create_table, Table, Col, LinkCol
from sqlalchemy import des... |
ae17ed966f63a39678778e24b4589c0522858359 | ce5beb060962a0c7c298c628e9f2640732dda927 | /src/reciprocal.py | af8b32e0865229bd069374b8320f1755d70569a0 | [] | no_license | jscheiny/oepd | bb5a9a9ea4c7bcb0c9cc9b9c224005d39535d476 | 3de1775639b8ce38a9ad108f6028d61eeecfd4e1 | refs/heads/master | 2021-01-13T11:49:29.290899 | 2015-10-26T18:55:49 | 2015-10-26T18:55:49 | 43,375,915 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 870 | py | reciprocal.py | import distro, math
from scipy.optimize import fsolve
from scipy.stats import reciprocal
def _solver(stats):
(mu, sig2) = distro.extractStats(stats, [distro.Stat.Mu, distro.Stat.Sig2])
equations = lambda (a, b): ( float(reciprocal.stats(a,b,moments='m'))-mu , float(reciprocal.stats(a,b,moments='v'))-sig2 )
... |
71ebc6e9218085e887eda7843b5489837ed45c97 | 0a9c2ac83df5d77bf55af15264ca952a83690aef | /CodingTools/CTDef/zoutputs.py | bbf6ee44f6bbf7c0fa7c19a24ebdd2d8abbf0062 | [] | no_license | goneyears/lambda | c337a296707644616810ca3d9b7c1b62b6aca0b4 | e5bae0fd061d9c99831c5426684ca7d69a561bba | refs/heads/master | 2021-01-01T06:09:57.536990 | 2018-05-02T08:51:51 | 2018-05-02T08:51:51 | 97,375,871 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,385 | py | zoutputs.py | import re
class Zout:
def __init__(self, aline):
self.Str = aline
self.Var = ''
self.StN = ''
self.ZN = ''
self.ZName = ''
self.Motion = ''
self.Ztype = ''
self.tozout(aline)
def tozout(self, aline):
"""transform station sta... |
58f7810e2731721562e3459f92684589dc66862c | 6656c4d0747792a28f9c71b3bec8d88b4ed947f8 | /lesson2.py | 7e2e3fe03b21a17c01d1315e4d7bf55abddfcd1b | [
"Apache-2.0"
] | permissive | tkacalex/lesson | 1fc06597184d7b9faa12b577631cfcc9f984f689 | b237d530447445871c4b01e55eee5f20744fccc3 | refs/heads/main | 2023-04-07T06:41:55.130965 | 2021-04-14T12:45:22 | 2021-04-14T12:45:34 | 357,287,036 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | lesson2.py | a = [3, 4, 2, 3, 5, 8, 23, 32, 35, 34, 4, 6, 9]
print("")
print("Lesson #2")
print("Program start:")
for i in a:
if i < 9:
print(i)
print("End") |
aaa0ac5e31e2c10b5baba6077e952fff1a92ef82 | 5355bc98bf36d1d843cd1bc81e3efc802eecc555 | /Para_tunning/CV_fold.py | b4d39aacdc3c5ab14337b4fccf1db9e0c2d5fb76 | [] | no_license | pxu2018/Introduction-to-Machine-Learning-with-Python-code | 3ca2bf6315ca8e8a5f7e1b1f4d0bc92105159aed | b69f136c4d9c6ba0faf549287edbc3550783a31f | refs/heads/master | 2021-01-02T19:00:06.423715 | 2018-10-24T08:28:27 | 2018-10-24T08:28:27 | 239,754,516 | 1 | 0 | null | 2020-02-11T12:17:24 | 2020-02-11T12:17:23 | null | UTF-8 | Python | false | false | 2,414 | py | CV_fold.py | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 22 18:05:44 2018
@author: Administrator
"""
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import StratifiedKFold
from sklearn.m... |
ad3c5ed3d6a9aa83e69f53d3fec845e8e2b1c9c6 | 7785bba522e2a053f3f23f4592badffa27550151 | /multiple_linear_regression/correlation.py | bd7bd1fd5d61145f52136e894809565b86794f84 | [] | no_license | carolinabonivento/regression | cd5c833744be195ebdaae0e6246694c643da9387 | a4381eb763a544f306785810c15e38714a3eb8d8 | refs/heads/master | 2020-03-29T19:25:43.306561 | 2018-10-22T09:40:29 | 2018-10-22T09:40:29 | 150,262,611 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,261 | py | correlation.py | import pandas as pd
import numpy as np
import sys
def avg (x):
return [sum(x[i])/row for i in range(col)]
def sd (x):
return [np.std(x[i]) for i in range(col)]
def cov (x, md_x):
cov_xy=[[0 for r in range(col)] for c in range(col)]
for i in range(col):
for j in range (col):
for k ... |
d267c8cbe51fb1bacc9404a1385f1daa4a0db7f2 | 048b6ed2e52d7a46dd2c0c70475dc79d5fff0894 | /Unsupervised/kmeans.py | 00c46c945f4d27baa2d27e8bdd7e55d09eb7ffa6 | [
"Apache-2.0"
] | permissive | samyakjain3001/Build-ML-Algos-From-Scratch | e70deea23bdec9ba09341284a3fd690983572063 | 739d2a85f01b8fd11bc3136ab067a41f8a614451 | refs/heads/master | 2023-07-11T10:21:36.814558 | 2021-08-19T20:39:26 | 2021-08-19T20:39:26 | 398,040,642 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,967 | py | kmeans.py | import pandas as pd
import numpy as np
import math
from sklearn.datasets import load_digits, load_iris, load_boston, load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.metrics import pairwise_distances
class KMeans():
def __init__(self, k = 5, max_iters = 100, random_seed = 42):... |
9189c1dd21b0858df3138bcf4fc7568b378e6271 | 96e67c258eceaa20398a62668c872c6b1382de04 | /tests/utils/test_misc.py | 68f73ec9ec5f66767e63371d3119b141b2c09cce | [
"MIT"
] | permissive | Feng37/tfsnippet | 7fb120abd34f08ca7b42807e16dba9c882e39f15 | 70c7dc5c8c8f6314f9d9e44697f90068417db5cd | refs/heads/master | 2020-03-21T12:53:08.244177 | 2018-06-25T10:51:29 | 2018-06-25T10:51:29 | 138,576,565 | 0 | 0 | MIT | 2018-06-25T09:59:22 | 2018-06-25T09:59:21 | null | UTF-8 | Python | false | false | 5,423 | py | test_misc.py | import os
import unittest
from mock import Mock
from tfsnippet.utils import *
class HumanizeDurationTestCase(unittest.TestCase):
cases = [
(0.0, '0 sec'),
(1e-8, '1e-08 sec'),
(0.1, '0.1 sec'),
(1.0, '1 sec'),
(1, '1 sec'),
(1.1, '1.1 secs'),
(59, '59 secs... |
feed412278d9e711e49ef209ece0876c1de4a873 | 34d88082307281333ef4aeeec012a3ff5f8ec06e | /CJK/ukWorkingDays.py | 0df2f88b1defc0f52df103e4a27db97caf5523e0 | [] | no_license | JKChang2015/Python | a6f8b56fa3f9943682470ae57e5ad3266feb47a7 | adf3173263418aee5d32f96b9ea3bf416c43cc7b | refs/heads/master | 2022-12-12T12:24:48.682712 | 2021-07-30T22:27:41 | 2021-07-30T22:27:41 | 80,747,432 | 1 | 8 | null | 2022-12-08T04:32:06 | 2017-02-02T17:05:19 | HTML | UTF-8 | Python | false | false | 698 | py | ukWorkingDays.py | # -*- coding: UTF-8 -*-
# File name: ukWorkingDays
# Created by JKChang
# 29/07/2020, 11:20
# Tag:
# Description:
from datetime import date,timedelta,datetime
from workalendar.europe import UnitedKingdom
cal = UnitedKingdom()
print(cal.holidays(2020))
def workingDate(start,end):
cal = UnitedKingdom()
res = [... |
662fc9d64b9046180cf70ce4b26ac2b9665dba0e | 05c7ebb88be81821635142a254cd42d2d7856212 | /Harry/Stock/test.py | d74b49ddcb0d1e6574476f88524617630013ccdc | [] | no_license | HarryTu/PyStock | c78f9b1d73689fc5d13c03239d6a57e9f055f405 | 674c9a2c6f66bc575b5bb860873d6868d9b1a67c | refs/heads/master | 2021-05-10T15:29:44.842506 | 2018-04-25T16:09:00 | 2018-04-25T16:09:00 | 118,550,292 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 373 | py | test.py | # -*- coding=UTF-8 -*-
'''
Created on 20180127
@author: Harry
'''
import datetime
# today = datetime.date.today()
# weekday = today.weekday()
#
# if weekday == 0:
# print "周一"
# else:
# print "other days"
nowtime=datetime.datetime.now()
detaday = datetime.timedelta(days=-1)
da_days= nowtime + detad... |
ccee0e3c47fd3809e0670be24aaa6fd0a9bad3bc | 19e01a5b6d06c2cb2772296de944df98d3b10064 | /melomaniac/player/library.py | 91e4b8e20e8359d142de9250eea63f5875bf9519 | [
"MIT"
] | permissive | sdispater/melomaniac | ae603f35a7edb70de3a1a0e351937d9965648eb1 | 26edeba844d4822bb1df287d996356786d6d7a38 | refs/heads/master | 2023-06-24T06:01:38.687347 | 2017-04-27T17:18:40 | 2017-04-27T17:18:40 | 69,682,560 | 19 | 4 | MIT | 2018-01-17T20:37:42 | 2016-09-30T16:20:27 | Python | UTF-8 | Python | false | false | 328 | py | library.py | # -*- coding: utf-8 -*-
class Library(object):
def __init__(self, backend):
self._backend = backend
@property
def cache(self):
return self._backend.cache
def cache_key(self, key):
return self._backend.cache_key(key)
def get_url(self, track):
raise NotImplemented... |
f799fdfde537bbe8f6c49a5e1a15cf6f910a0d45 | 3c887d5f4fcdc04a27c371de164b3048a1a52823 | /0x07-python-test_driven_development/tests/6-max_integer_test.py | a55aee1e472b14cd850a78acf95a35393ab36a24 | [] | no_license | vic-1998/holbertonschool-higher_level_programming | d67981c3d2940924fd575a7fda123983ce414fda | 8bc5488c6a5c6158539ccecf64f53e4d26dd6893 | refs/heads/main | 2023-05-02T03:29:05.933826 | 2021-05-13T00:36:17 | 2021-05-13T00:36:17 | 319,327,464 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | 6-max_integer_test.py | #!/usr/bin/python3
"""Unittest for max_integer([..])
"""
import unittest
max_integer = __import__('6-max_integer').max_integer
class TestMaxInteger(unittest.TestCase):
""" Interactive tests """
def test_max(self):
"""Tests max_integer"""
self.assertEqual(max_integer([1, 2, 3]), 3)
self... |
0b4f82cfdc16972e5376e14833ddf4f151259ec5 | ac09e0745ff9b2e01ba2c5c15a4d14507aa78b90 | /app/serializers.py | 3061810593518a117a5fd1c13f1bc285dfebeaac | [] | no_license | LucasSantus/api-drink-or-game | cf1aa48238a368e73954f9bd03773c8e2596f555 | b02e1a2b8eb266c42ca219c198e59280c67104f6 | refs/heads/main | 2023-04-04T15:26:12.569295 | 2021-04-17T02:29:50 | 2021-04-17T02:29:50 | 358,680,520 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 405 | py | serializers.py | from rest_framework import serializers
from .models import Desafio, Regra_Casa
class DesafioSerializer(serializers.ModelSerializer):
class Meta:
model = Desafio
fields = [
"frase",
"nivel_desafios",
]
class Regra_CasaSerializer(serializers.ModelSerializer):
cla... |
a8b8d840defd04824f5abc25bf8cb5e98ef3bff3 | e961f53021ba286aadf01b96d0bd6b0b64649656 | /ascii_art.py | 737b9e277001eb7549c1d223ad9b69b07e1a4e87 | [] | no_license | infinite-Joy/hacks | e77db2ae14d356b3779482662a1378c4ee43c164 | d8072124c292f6c4ad52f29a0072d2419c69920f | refs/heads/master | 2021-07-10T15:08:30.750881 | 2021-06-29T06:55:16 | 2021-06-29T06:55:16 | 47,954,915 | 1 | 1 | null | 2017-12-11T10:12:05 | 2015-12-14T05:55:34 | Python | UTF-8 | Python | false | false | 3,047 | py | ascii_art.py | """
The aim of this program is to generate ascii art of a given word.
usage:
python ascii_art.py
joy
## ####### ## ##
## ## ## ## ##
## ## ## ####
## ## ## ##
## ## ## ## ##
## ## ## ## ##
###### ####### ##
... |
7d0ee70083ad3514b2542edadd53e02c9c6c7902 | f9a57202ef7afd971127e0534e6f99bbf048e3e8 | /bin/compute_service | cd7352c14eaebe9dc3ab253cc774e4266d38ca9d | [] | no_license | mcmonster/smcity | 1875d8d45a8341e15636934648ab2e11f7ff44ec | 8b24198d57523d9c9eb7a62ad4059e1643508f9a | refs/heads/master | 2021-01-14T12:18:55.225500 | 2014-02-25T17:24:48 | 2014-02-25T17:24:48 | 15,593,836 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,120 | compute_service | #!/usr/bin/python
import ConfigParser
import logging.config
import signal
import sys
from threading import Thread
# Check the command line arguments
if len(sys.argv) != 3:
print "Usage: compute_service [# worker threads] [config file]"
sys.exit(-1)
# Set up the logging configuration
logging.config.fileConfi... | |
09f302547865d8ca93b360aee4e0b4098516e3c0 | 3609b2ec16bd5ce57fa1d70d76ea25446c5931af | /mindbender/api.py | 18751dff119f9ffccc790ffd01dfe14b90cc1f30 | [
"MIT"
] | permissive | mottosso/avalon-core | 4ba1a6ce3523a9666b4b5e6d60f752fa77fb05ec | 248647167e0fa10d7a52ef3d9f0f9c61c12396bd | refs/heads/master | 2022-04-12T17:07:24.683105 | 2017-05-11T14:58:17 | 2017-05-11T14:58:17 | 79,326,623 | 3 | 1 | MIT | 2020-03-17T16:39:20 | 2017-01-18T09:55:33 | Python | UTF-8 | Python | false | false | 1,924 | py | api.py | """Public API
Anything that is not defined here is **internal** and
unreliable for external use.
Motivation for api.py:
Storing the API in a module, as opposed to in __init__.py, enables
use of it internally.
For example, from `pipeline.py`:
>> from . import api
>> api.do_this()
The ... |
78242a2319d3469bc320fa6f972290f8f5c87c26 | 2a466b71eb9f24c58ca6ba52a379870485d19140 | /src/cert_scanner/util/file_name_utility.py | c1bb6311b684d57a70d303aee372b46e286b8794 | [
"MIT"
] | permissive | kgarwood/digital_certificate_scanner | 5df0fb47193f838353a0cadb696d49b8acbf8351 | ede1344144fa62349c0076d5618eccfc4131f98f | refs/heads/master | 2020-03-30T07:42:53.860968 | 2018-10-02T16:12:47 | 2018-10-02T16:12:47 | 150,961,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,199 | py | file_name_utility.py | import cert_scanner.system.pipeline_configuration as pipeline_configuration
import datetime as dt
import dateutil.relativedelta as rd
PERIOD_TYPES = ['daily', 'week', 'monthly']
"""
A collection of functions that are used to create consistent names that
are used to produce various parts of a pipeline run.
"""
def ge... |
ec86d9e8a267e35837b86e0babf7eff39a0d4e53 | d03f6d4d3631d2f9b118c18c65149b0416d3a001 | /生成器-迭代器-装饰器.py | 75a1943d97b2c9ff718e5b11b0f177d1af68c65e | [] | no_license | abc56163/180PythonScript | 37f43f151b9aef195a25a19a630adccc43113890 | 655ba6f0c8cb256cfc96639834cb1c270c93fc5b | refs/heads/master | 2020-05-23T20:31:42.813005 | 2019-05-16T02:12:44 | 2019-05-16T02:12:44 | 186,933,666 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 677 | py | 生成器-迭代器-装饰器.py | #生成器
# g = (x for x in range(10))
# print(g)
# next(g)
# for i in g:
# print(i)
#迭代器
# def g(x):
# for i in range(x):
# print(i)
# yield i
#
# a = g(2)
# print(g(2))
# def check_password(func):
# def inner():
# print('密码验证中.....')
# func()
# return inner
# @check_passwo... |
a3f15d97216a7293d034d52f80d26c5f1c40122e | d998f36b6b25024c75c706aba179c12b2445b18c | /githubhooks/__init__.py | d6dbfdb37626f0b4d5327ee85da2566d77399235 | [] | no_license | i-rabot/githubhooks | dc573fb1ce20e4fcaa6869a7fe0342062961b5e0 | c3b200a055466d1693f2a9c32d754086eea6e89c | refs/heads/master | 2022-05-12T10:53:25.247820 | 2022-05-03T17:39:50 | 2022-05-03T17:39:50 | 77,162,042 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 54 | py | __init__.py | # -*- coding: utf-8 -*-
"""The githubhooks package"""
|
96531822498b8e431c5071371833e12766b3af44 | 47823bd3457f574b4f6af32b1d5573d2402da6d1 | /model.py | 408c7c1ec1f1de1d40c6ecec39bc9bf7cd97b1a4 | [] | no_license | KrishMoni/project | cbe1d5b8775dcb34aac5d2045cd670c462131f63 | 5916cdf9002c97f4ac32d5909bc96253c5237b50 | refs/heads/master | 2020-04-24T11:15:33.604849 | 2019-03-05T14:39:50 | 2019-03-05T14:39:50 | 171,919,481 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,706 | py | model.py | #importing libraries
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
import pickle #used to save our trained model to the disk
import requests #sends request to the server
import json #print the result in our t... |
e1e4be75ed2ed40697345122d5d47303cbd3de0a | 24c25919a0a877acb914cb4f19dc1081f793cf70 | /app/onramp/geometry.py | f661cd88a06187b3781f82fed371edee0bd61190 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | azavea/onramp | e66528be31dfc2f1e4ddbdee3366f2d5c0fda169 | 69352d0ac78fb04678245da9db38b6c4ab1d9ca2 | refs/heads/master | 2023-08-24T01:28:42.953725 | 2021-10-20T21:00:28 | 2021-10-20T21:00:28 | 252,534,495 | 8 | 1 | Apache-2.0 | 2021-01-20T20:58:41 | 2020-04-02T18:25:10 | Python | UTF-8 | Python | false | false | 767 | py | geometry.py | import xml.etree.ElementTree as ET
class Bounds:
""" Iteratively construct bounding box for a series of (x, y) points. """
def __init__(self):
self.minx = 180
self.maxx = -180
self.miny = 90
self.maxy = -90
def add(self, x, y):
if x < self.minx:
self.m... |
097e272a9831ed5064a3b43b396f6069c113031a | 4a0e51e1fd3b720f7a3959de7492940b7981b7f9 | /team/views.py | cc94863d4542cec3e1c29008059ba2513ded4dbd | [] | no_license | ahangchen/WeMeet | 0d60e9c49f7de1b63ebcff8428c66915d905f7b3 | 9b48cceab2fa0e6eaeae889bf7ae96c0c9c03034 | refs/heads/master | 2021-05-06T09:42:30.818425 | 2021-04-30T02:09:13 | 2021-04-30T02:09:13 | 114,065,607 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 284 | py | views.py | # coding=utf8
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from team.ctrl.register import validate
def test(request):
return render(request, 'team/test.html', {})
@csrf_exempt
def valid_code(request):
return validate(request)
|