index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
6,100 | ac033e45ea61770c302be677f4dfc95945e2cca5 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Calcu.py
#
import os, sys
def menuCalc():
os.system('clear')
print("Esto parece un menu:")
print("\t1 - Suma")
print("\t2 - Resta")
print("\t3 - Multiplicacion")
print("\t4 - Division")
print("\tq - Para salir")
def calculadora(cal... |
6,101 | 21050d66120787c1260efd42bb6456d7131fcc6b | N=input()
l=map(int,raw_input().split())
l.sort()
flag=0
if l[0]<0:
print 'False'
else:
for i in l:
if str(i)==str(i)[::-1]:
flag=flag+1
if flag>=1:
print 'True'
else:
print 'False'
|
6,102 | 6b6fac3bfb1b1478dd491fc4dd9c45a19aeb7bd8 | #!/usr/bin/env python
#-*- coding: utf-8 -*-
import pygtk
pygtk.require("2.0")
import gtk
from testarMsg import *
class tgApp(object):
def __init__(self):
builder = gtk.Builder()
builder.add_from_file("../tg.glade")
self.window = builder.get_object("window1")
self.text_area = buil... |
6,103 | 3be7183b5c1d86ee0ebfdea89c6459efe89510f8 | from data import constants
from data.action import Action
from data.point import Point
class MoveActorsAction(Action):
"""A code template for moving actors. The responsibility of this class of
objects is move any actor that has a velocity more than zero.
Stereotype:
Controller
Attributes:... |
6,104 | c38aff77a7beebc13e7486150d549b876c830db8 |
class Pwm():
def __init__(self, number, path, features):
self.id = number
self.path = path + 'pwm' + number
self.features = features
self.duty = self.get_feature('')
self.enable = self.get_feature('_enable')
def get_feature(self, feature):
return self.features['pwm' + self.id + feature]
def set_featu... |
6,105 | 6fdfcbcfdf2b680a1fbdb74f77fd5d1a9f7eac0b | # -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
# Copyright (c) 2017, Battelle Memorial Institute
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistri... |
6,106 | 9b6d30a40bafa0e9e4760843d6a2f750f0f88a57 | from datetime import date
def diff_in_date(first, second):
value = str(second - first)
if value.__contains__(','):
generated_sum = value.split(',')
return generated_sum[0]
else:
return value
first_date = date(2014, 7, 2)
second_date = date(2014, 7, 11)
current_date = date.today()... |
6,107 | e0541c377eb6631e4ef5eb79b1204612ce8af48c | import sys
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from uraeus.nmbd.python import simulation
from uraeus.nmbd.python.engine.numerics.math_funcs import A, B
database_directory = os.path.abspath('../../')
sys.path.append(database_directory)
from uraeus_fsae.simenv.assemblies i... |
6,108 | 96bf6220bfc884e3a19f70a63d9ecba449e2e7e2 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# staticbox.py
import wx
class StaticBox(wx.Dialog):
def __init__(self, parent, id, title):
wx.Dialog.__init__(self, parent, id, title, size = (250, 230))
wx.StaticBox(self, -1, 'Personal Info', (5, 5), size = (240, 170))
wx.CheckBox(self, ... |
6,109 | 6682c864a3da6f2c894a3a40359726b4eb97d040 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# author: MSJ
# date: 2021/3/11
# desc：冒泡排序
def bubble_sort(arr):
for i in range(1, len(arr)):
for j in range(0, len(arr) - i):
if arr[j] > arr[j + 1]:
tmp = arr[j]
arr[j] = arr[j + 1]
arr[j + 1] = tmp
... |
6,110 | 61e38ae6ae2a1ed061f9893742f45b3e44f19a68 | from tkinter import *
from tkinter import messagebox
root = Tk()
def hello():
messagebox.showinfo("Say Hello", "Hello World")
B1 = Button(root, text = "Say Hello", command = hello, font='arial 20')
B1.pack()
mainloop()
|
6,111 | f925b3b2f55c3f8daf57438d8d20b60446ae39af | from torchsummary import summary
import torch
import torch.nn as nn
import torch.nn.functional as F
from eva4modeltrainer import ModelTrainer
class Net(nn.Module):
"""
Base network that defines helper functions, summary and mapping to device
"""
def conv2d(self, in_channels, out_channels, ker... |
6,112 | 7e58fe636e6d835d7857a49900bbc127b52f63d9 | class HashTableEntry:
"""
Hash Table entry, as a linked list node.
"""
def __init__(self, key, value):
self.key = key
self.value = value
self.next = None
class HashTable:
"""
A hash table that with `capacity` buckets
that accepts string keys
Implement this.
... |
6,113 | dc2b074d7d0e87105b2479bb60b46c73dce6c069 | # -*-coding:utf-8 -*-
#
# Created on 2016-04-01
# __ __
# - /__) _ /__) __/
# / / ( (/ / ( /
# /
from core.views import BaseView
class TestView(BaseView):
"""
测试页面
"""
# template_name = 'test/blog-1.html'
template_name = 'test/music-1.html'
|
6,114 | bfa5739949c26758e3762fcff8347d23ad70f704 | # 데이터 출처: kaggle
# 데이터 개요: 511, 유리를 위한 다양한 속성(화학원소)들로부터 type 구별
# 데이터 예측 모델: 이진클래스
# 적용 머신러닝 모델: 깊은 다층 퍼셉트론 신경망
# 훈련 데이터셋: 160건
# 검증 데이터셋: 건
# 시험 데이터셋: 수집데이터로서 시험셋을 확보할 수 없으므로 고려하지 않음
# 입력 데이터: 10개 항목의 데이터
# 은닉층: 2개
# 사용한 활성화 함수
# - 제1 은닉층: Relu
# - 제2 은닉층: Relu
# - Output Layer: Softmax
# 사용한 손실함수: categorical_cros... |
6,115 | 3f2c1a83ae0dfdba202038a209b90162ccddee36 | #!/usr/bin/python3
"""City Module"""
from models.base_model import BaseModel
class City(BaseModel):
"""City Class
Public class attributes:
state_d: type string
name: type string
"""
state_id = ""
name = ""
|
6,116 | cb903f3f7fd3c4f3ba5f8ff2ce12aac9c680aa15 | from pyramid.request import Request
from pyramid.response import Response
from pyramid.view import view_config
from svc1_first_auto_service.data.repository import Repository
@view_config(route_name='autos_api',
request_method='GET',
renderer='json')
def all_autos(_):
cars = Repository.a... |
6,117 | 9a2002b5ff0fe41f2b5b568f4c278d4376bf4fb1 | import pandas as pd
from bokeh.models import ColumnDataSource, LinearColorMapper, HoverTool
from bokeh.plotting import figure
from bokeh.transform import transform
from sklearn.metrics import confusion_matrix
from reporter.settings import COLORS
from reporter.metrics import Metric
class ConfusionMatrix(Metric):
d... |
6,118 | 9fd33089a9dc919ef2fb2698059e60a24a0e05e6 | import mechanicalsoup
from bs4 import BeautifulSoup
import re
import json
def extract_title(page):
return page.find("header").find("h1").contents[0]
def extract_colours(page):
color_list = page.find("ul")
return list(dict.fromkeys(re.findall("#\w+", str(color_list.contents))))
def get_colours_from_pa... |
6,119 | 7502e28197cb40044303a0a2163546f42375aeb6 | #!/usr/bin/env python
import os, time, sys
fifoname = '/dev/pi-blaster' # must open same name
def child( ):
pipeout = os.open(fifoname, os.O_WRONLY) # open fifo pipe file as fd
zzz = 0
while 1:
time.sleep(zzz)
os.write(pipeout, 'Spam %03d\n' % zzz)
zzz = (z... |
6,120 | 2a3c3112122dee5574a1569155287ea3e5f8c7b2 | def say_hi(argument):
return f"Hello {argument}"
def call_func(some_func, argument):
return some_func(argument)
def main(argument):
"""docstring"""
return call_func(say_hi, argument)
if __name__ == "__main__":
print(main(1)) |
6,121 | 141e0f20ce912ecf21940f78e9f40cb86b91dc2b | #! /usr/bin/env python
"""
Normalizes a vidoe by dividing against it's background.
See: BackgroundExtractor.py to get the background of a video.
USING:
As a command line utility:
$ Normalizer.py input_video input_image output_video
As a module:
from Normalizer import Normalizer
... |
6,122 | 01eef391f6d37d1e74cb032c5b27e1d8fc4395da | def countdown(n):
def next():
nonlocal n
r = n
n-=1
return r
return next
a = countdown(12)
while True:
v = a()
if not v:break
|
6,123 | a40c87fe4b805495e5bd30155faa861cbe16c368 | from eboss_qso.fits.joint import run_joint_mcmc_fit
from eboss_qso.measurements.utils import make_hash
import os.path as osp
import os
from glob import glob
ARGS = [(False, 1.0),
(False, 1.6),
(True, 1.6),
(True, 1.0)
]
ITERATIONS = 500
WALKERS = 100
def main(argnum, kmin):
z_we... |
6,124 | fb9d639bca59ecb081e7d9f30f97bdcd35627d34 | # -*- coding: utf-8 -*-
class FizzBuzz:
def convert(self, number):
# raise NotImplementedError
# for number in range(1, 101):
if number%3 == 0 and number%5 != 0:
return ("Fizz")
elif number%3 != 0 and number%5 == 0:
return("Buzz")
... |
6,125 | 4c010f9d9e7813a4ae4f592ade60130933b51958 | #/usr/share/python3
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import train_test_split
import numpy as np
import seaborn as sb
import pandas as pd
from pmlb import fetch_data, classification_dataset_names
import util
# f... |
6,126 | ccfc78ae430f835244e0618afdeebe960c868415 | #!/usr/bin/env python
'''
Usage:
dep_tree.py [-h] [-v] [-p P] [-m component_map]
repos_root top_dir [top_depfile]
Parse design dependency tree and generate build scripts and other useful files
positional arguments:
repos_root repository root
top_dir top level design directory
top_depfile ... |
6,127 | a18fad746a1da3327d79ac0a61edd156c5fb8892 |
class TrieTree(object):
def __init__(self):
self.size=0
self.childern=[None]*26
def insert(self,word):
node=self
for w in word:
index=ord(w)-97
node.size+=1
if node.childern[index]==None:
node.childern[index]=TrieTree()
... |
6,128 | ef0c9f740f1ca0906aeb7a5c5e5d35baca189310 | # pylint: disable=missing-docstring,function-redefined
import uuid
from behave import given, then, when
import requests
from features.steps import utils
from testsuite.oauth import authorize
from testsuite import fhir
ERROR_AUTHORIZATION_FAILED = 'Authorization failed.'
ERROR_BAD_CONFORMANCE = 'Could not parse conf... |
6,129 | 92c247b827d2ca4dce9b631a2c09f2800aabe216 | import main
from pytest import approx
def test_duration():
ins = main.convert()
names = ins.multiconvert()
for name in names:
induration, outduration = ins.ffprobe(name[0], name[1])
assert induration == approx(outduration)
induration, outduration = ins.ffprobe(name[0], name[2])
... |
6,130 | 2ffe4b0eb7af9b3a4d5724442b5409d27bfa92a1 | import math
def max_heapity(arr, start, end):
root = start
while True:
child = 2 * root + 1
# 若子節點指標超出範圍則結束
if child > end:
break
# 先比較左右兩個子節點大小，選擇最大的那個子節點
if child + 1 <= end and arr[child] < arr[child + 1]:
child += 1
# 如果 root 的值小於 c... |
6,131 | 1f953b20ff0eb868c2fbff367fafa8b651617e64 | #!/usr/bin/env python3
import sys
from argparse import ArgumentParser
from arg_checks import IsFile, MinInt
from visualisation import Visualisation
parser = ArgumentParser(description="Visualises DS simulations")
# The order of arguments in descending order of file frequency is: config, failures, log.
# This should... |
6,132 | 46b8d0ba58d4bf17021b05fc03bd480802f65adf | # -*- coding: utf-8 -*-
"""Utilities for reading BEL Script."""
import time
from typing import Iterable, Mapping, Optional, Set
from .constants import (
ANNOTATION_PATTERN_FMT, ANNOTATION_URL_FMT, NAMESPACE_PATTERN_FMT, NAMESPACE_URL_FMT, format_annotation_list,
)
__all__ = [
'make_knowledge_header',
]
de... |
6,133 | beda3d13e3dc12f7527f5c5ba8a0eb05c2734fd9 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 4 15:19:49 2018
@author: haoyu
"""
import numpy as np
def train_test_split(X, y, test_ratio = 0.2, seed = None):
'''将数据X和y按照test_ratio分割成X_train,X_test,y_train,y_test'''
assert X.shape[0] == y.shape[0], \
'the size of X must be equal to the size of y'
... |
6,134 | 5e20a517131f7a372d701548e4f370766a84ba52 | """
Definition of SegmentTreeNode:
"""
class SegmentTreeNode:
def __init__(self, start, end):
self.start, self.end = start, end
self.left, self.right = None, None
class Solution:
"""
@param: start: start value.
@param: end: end value.
@return: The root of Segment Tree.
"""
... |
6,135 | 2db6f88b733c23063803c374d7a5b651e8443bd5 | print("Hello world! im in github")
|
6,136 | 16cd89a43a1985276bd14d85ad8ddb990c4d82c3 | import discord
from discord.ext import commands
import datetime
from discord.utils import get
from discord import User
class Sinner(commands.Converter):
async def convert(self, ctx, argument):
argument = await commands.MemberConverter().convert(ctx, argument)
permission = argument.guild_permissions... |
6,137 | 4a13f05fbbe598242f5663d27d578d2eb977e103 | n = 1
ip = []
ma = []
l = [0, 0, 0, 0, 0, 0, 0] # a, b, c, d, e, wpm, pr
while n != 0:
a = input().strip().split("~")
n = len(a)
if n == 1:
break
ip.append(a[0])
ma.append(a[1])
for i in ip:
ipn = i.split(".")
try:
if 1 <= int(ipn[0]) <= 126:
p = 0
elif 1... |
6,138 | 04c1765e6c2302098be2a7f3242dfd536683f742 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-08-24 22:13
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0026_auto_20160712_1541'),
]
operations = [
migrations.CreateModel(... |
6,139 | ecf09f2c503452fefc427e8dbe151e7bc7ef677e | import tensorflow as tf
class PolicyFullyConnected:
def __init__(self, observation_space, action_space, batch_size, reuse):
height = observation_space[0]
width = observation_space[1]
self.observations = tf.placeholder(shape=(batch_size, height, width), dtype=tf.float32)
with tf.va... |
6,140 | d650f578ea30772489625ee26f3e4bf04131964b | from django.shortcuts import render, redirect
from .models import Game, Player, CardsInHand, Feedback
from django.db.models import Q
from .forms import GameForm, JoinForm, FeedbackForm
from django.shortcuts import get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from django.vie... |
6,141 | 0f3e19b02dbe508bc4e0ef7879af81a9eabfd8c9 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 16 16:11:46 2021
@author: Suman
"""
import numpy as np
import cv2
rect = (0,0,0,0)
startPoint = False
endPoint = False
def mark_object(event,x,y,flags,params):
global rect,startPoint,endPoint
# get mouse click
if event == cv2.EVENT_LB... |
6,142 | d3af5ac87474a99f1ade222995884bc8e035ce35 | from room import Room
class Office(Room):
def __init__(self):
pass |
6,143 | 753617c189a88adee8430e994aa597c9db9410fe | from genericentity import GenericEntity as GEntity
import random as ran
class GenericBreeder(object):
"""description of class: its a classy class"""
def __init__(self,nlifesize,nparentsize,nlowestscore):
self.Reset(nlifesize,nparentsize,nlowestscore)
def Reset(self,nlifesize,nparentsize,nlowe... |
6,144 | f3b3bee494493263f8b00827e6f3ff3a1dcd8c37 | import graphics
import ply.lex as lex
import ply.yacc as yacc
import jstokens
import jsgrammar
def interpret(trees): # Hello, friend
for tree in trees: # Hello,
# ("word-element","Hello")
nodetype=tree[0] # "word-element"
if nodetype == "word-element":
graphics.word(tree[1])
... |
6,145 | e5a71250ca9f17798011d8fbfaee6a3d55446598 | from connect.client import ClientError, ConnectClient, R
def test_import_client():
from cnct import ConnectClient as MovedConnectClient
assert MovedConnectClient == ConnectClient
def test_import_error():
from cnct import ClientError as MovedClientError
assert MovedClientError == ClientError
def te... |
6,146 | afa22db946f77e9b33a443657592c20fbea21eb1 | from setup import app, manager
from Users.controller import user_controller
from Test.controller import test_controller
app.register_blueprint(test_controller, url_prefix="/test") #registeting test_controller blueprint with the main "app" and asking it to handle all url that begins with "/test". For eg: http://127.0.0... |
6,147 | cd9f94d55eb13f5fc9959546e89a0af8ab2ea0db | import urllib2
import urllib
import json
import gzip
from StringIO import StringIO
service_url = 'https://babelfy.io/v1/disambiguate'
lang = 'EN'
key = ''
filehandle = open('triples/triples2.tsv') # the triples and the sentences where the triples were extracted
filehandle_write = open('triples/disambiguated_triples... |
6,148 | 9e8ed462e429d6c6c0fe232431ee1e98721863e9 | import platform
import keyboard
import threading
import atexit
from threading import Timer
triggerCount = 0
triggerTimer = -1
result = None
def cleanup ():
print 'cleanup before exit'
clearTimer()
keyboard
triggerCount = 0
def clearTimer ():
global triggerTimer
global triggerCount
try:
... |
6,149 | 8dbcd7bba09f8acff860890d8201e016b587796d |
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
# from sklearn import tree
# import joblib
music_data = pd.read_csv(r"C:\Users\junha\PythonProjects\predict_music_preferences\music.csv")
# print(music_dat... |
6,150 | 5cb7af5ded532058db7f5520d48ff418ba856f04 | import numpy as np
#
#
#
basedir = '/n/regal/pfister_lab/haehn/CREMITEST/'
testA = basedir + 'testA.npz.npy'
testA_targets = basedir + 'testA_targets.npz.npy'
testB = basedir + 'testB.npz.npy'
testB_targets = basedir + 'testB_targets.npz.npy'
testC = basedir + 'testC.npz.npy'
testC_targets = basedir + 'testC_targets... |
6,151 | 94d303716eac7fa72370435fe7d4d1cdac0cdc48 | smodelsOutput = {'OutputStatus': {'sigmacut': 0.01, 'minmassgap': 5.0, 'maxcond': 0.2, 'ncpus': 1, 'file status': 1, 'decomposition status': 1, 'warnings': 'Input file ok', 'input file': 'inputFiles/scanExample/slha/100968509.slha', 'database version': '1.2.0', 'smodels version': '1.2.0rc'}, 'ExptRes': [{'maxcond': 0.0... |
6,152 | 1ea31a126417c2feb079339aa79f97ea9e38fa40 | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... |
6,153 | 81b9fc78d92fdc4392cb71a77fdfd354ff950ae3 | n, x0, y0 = list(map(int, input().split()))
cards = [y0] + list(map(int, input().split()))
# yの手持ちはゲームに関与するため、リストに加えてしまう
xs = [[-1] * (n+1) for i in range(n+1)]
ys = [[-1] * (n+1) for i in range(n+1)]
#xs[i][j] = xの手番で、xがcards[i]を持ちyがcards[j]を持っているとき(i<j)の最善スコア
#ys[i][j] = yの手番で、xがcards[j]を持ちyがcards[i]を持っているとき(i<j)の... |
6,154 | b066ab81eccee538eb3f85b49a3e46c00a947428 | # 데이터베이스 연동(SQLite)
# 테이블 생성 및 삽입
# pkg 폴더안에 db 파일이 있어서 해당 파일 import 하기 위해 ... 다른 방법 없을까 ...
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
# db 정보 import 후 DbConn 메소드를 dbConn으로 사용명 변경
from pkg._DB_INFO import DbConn as dbConn
from pkg._DB_INFO import sysDate as nowDate
#... |
6,155 | b0aeede44a4b54006cf0b7d541d5b476a7178a93 | # Part 1 - Build the CNN
from keras.models import Sequential
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
## Initialize the CNN
classifier = Sequential()
## Step 1 - Convolution Layer
classifier.add(Convolution2D(32, 3, 3,... |
6,156 | 3d2b8730953e9c2801eebc23b6fb56a1b5a55e3c | from sqlalchemy import create_engine, Column, Integer, Float, \
String, Text, DateTime, Boolean, ForeignKey
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy.ext.declarative import declarative_base
from flask_sqlalchemy import SQLAlchemy
engine = create_engine('sqlite:///app/databases/fays-web-... |
6,157 | f9261c1844cc629c91043d1221d0b76f6e22fef6 | import os.path as path
from googleapiclient.discovery import build
from google.oauth2 import service_account
# If modifying these scopes, delete the file token.pickle.
SCOPES = ['https://www.googleapis.com/auth/spreadsheets.readonly']
# The ID and range of a sample spreadsheet.
SAMPLE_SPREADSHEET_ID = '1FSMATLJUNCbV8... |
6,158 | ac664cd7d62f89399e37f74e0234b3ad244fe460 | # Generated by Django 3.1.4 on 2021-01-11 16:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tutorials', '0003_auto_20210111_1705'),
]
operations = [
migrations.AlterField(
model_name='tutorial',
name='upload'... |
6,159 | b00c9f099fcb31262df947f47d7190912ee66965 | #-*- coding: utf-8 -*-
from django.db import models
from authentication.models import Account
class QuestionFaq(models.Model):
title = models.CharField(max_length=50, verbose_name=u'Тема вопроса')
question = models.TextField(verbose_name=u'Задайте вопрос')
date = models.DateField(auto_now_add=True)
ch... |
6,160 | ce11a5c2fbd6e0ea0f8ab293dc53afd07a18c25c | from Modules.Pitch.Factory import MainFactory
from Modules.ToJson import Oto
from audiolazy.lazy_midi import midi2str
import utaupy
import string
import random
import math
import os, subprocess, shutil
def RandomString(Length):
Letters = string.ascii_lowercase
return ''.join(random.choice(Letters) for i ... |
6,161 | 03854f48751460fdc27d42ee5c766934ee356cfd | import sys
sys.stdin = open('줄긋기.txt')
T = int(input())
for tc in range(1, T+1):
N = int(input())
dot = [list(map(int, input().split())) for _ in range(N)]
ran = []
for a in range(N-1):
for b in range(a+1, N):
if dot[a][1]-dot[b][1] == 0:
if 'inf' not in ran:
... |
6,162 | 3c22b187f8538e16c0105706e6aac2875ea3a25c | from django.db import models
class Subscribe(models.Model):
mail_subscribe = models.EmailField('Пошта', max_length=40)
def __str__(self):
return self.mail_subscribe
class Meta:
verbose_name = 'підписку'
verbose_name_plural = 'Підписки'
|
6,163 | e1829904cea51909b3a1729b9a18d40872e7c13c | from django.shortcuts import render, redirect
from .game import run
from .models import Match
from team.models import Team, Player
from django.urls import reverse
# Create your views here.
def startgame(request):
match = Match(team1_pk = 1, team2_pk = 2)
team1 = Team.objects.get(pk = match.team1_pk)
team... |
6,164 | 4dde161d25ed41154e13b94cc9640c6aac055f87 | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... |
6,165 | 2c181a33c84ce262404c192abdc515924a1916a9 | import numpy as np
import pandas as pd
import geopandas as gp
from sklearn.cluster import KMeans
import shapely
from descartes import PolygonPatch
# -- load the data
data = pd.read_csv('/scratch/share/gdobler/parqa/output/Tables/'
'ParkQualityScores/QualityArea_ZipCode_FiscalYears.csv')
zips = gp.... |
6,166 | 888ec915d89f1fd8fd6465f1035f7c658af78596 | {% load code_generator_tags %}from rest_framework.serializers import ModelSerializer
{% from_module_import app.name|add:'.models' models %}{% comment %}
{% endcomment %}{% for model in models %}
class {{ model.name }}Serializer(ModelSerializer):
class Meta:
model = {{ model.name }}
depth = 1
... |
6,167 | 6903584b27c0720cebf42ed39968b18f0f67f796 | """ Url router for the federated search application
"""
from django.conf.urls import include
from django.urls import re_path
urlpatterns = [
re_path(r"^rest/", include("core_federated_search_app.rest.urls")),
]
|
6,168 | 93a47d6ba1f699d881f0d22c4775433e4a451890 | # -*- coding:utf-8 -*-
"""
逆波兰表达式，中缀表达式可以对应一棵二叉树，逆波兰表达式即该二叉树后续遍历的结果。
"""
def isOperator(c):
return c == '+' or c == '-' or c == '*' or c == '/'
def reversePolishNotation(p):
stack = list()
for cur in p:
if not isOperator(cur):
stack.append(cur)
else:
b = float(sta... |
6,169 | 3f5096ef5677373a1e436f454109c7b7577c0205 | from IPython import display
display.Image("./image.png") |
6,170 | e5d704541acd0f68a7885d7323118e1552e064c9 | '''
You're playing casino dice game. You roll a die once. If you reroll, you earn the amount equal to the number on your second roll otherwise, you earn the amount equal to the number on your first roll.
Assuming you adopt a profit-maximizing strategy, what would be the expected amount of money you would win?
This qu... |
6,171 | 28e5667db4a620ec627cd94154a024b4c8dbc5f7 | from nonebot_plugin_datastore import get_plugin_data
from sqlalchemy import UniqueConstraint
from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
Model = get_plugin_data().Model
class MorningGreeting(MappedAsDataclass, Model):
__table_args__ = (
UniqueConstraint(
"platform",
... |
6,172 | b92497396e711d705760db547b43cc65beba6cfd | # Generated by Django 2.1.1 on 2019-11-20 12:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('sandbox_report', '0006_sandboxreportlink_sandboxreportval'),
]
operations = [
migrations.DeleteModel(
name='SandboxReportLink',
... |
6,173 | bb02ba68eb6629dad364b5f015680e4126e655f3 | # *** Обработка исключений (исключительные события, искл. ситуации)***
# генерация исключения
a=100
b=0
# "деление на ноль" - пример ошибки (не рабочий)
# c=a/b
# решение - обработка исключений (отлов исключения)
# конструкция "try-except"
# try:
# c = a / b
# print("Все отлично")
# except:
# # тут долж... |
6,174 | e41df44db92e2ef7f9c20a0f3052e1c8c28b76c7 | class Sala:
def __init__(self, sala):
self.Turmas = []
self.numero = sala
def add_turma(self, turma):
# do things
self.Turmas.append(turma)
def __str__(self):
return str(self.numero)
|
6,175 | 4905b820f33619a80a9915d0603bc39e0d0368d9 | # !/usr/bin/env python3
# -*- coding:utf-8 -*-
# @Time : 2021/05/08 20:06
# @Author : Yi
# @FileName: show_slices.py
import os
import pydicom
import glob
import shutil
import random
import numpy as np
import cv2
import skimage.io as io
from data_Parameter import parse_args
import matplotlib.pyplot as plt
def d... |
6,176 | d869aa32cb9793ce11a5b6a782cc66c2dd0be309 | import numpy as np
import matplotlib.pyplot as plt
x_list = []
y_list = []
file1 = open("pos_data_x.txt", "r")
for line in file1:
#x_list.append(float(file1.readline(line)))
x_list.append(float(line))
file2 = open("pos_data_y.txt", "r")
for line in file2:
#y_list.append(float(file1.readline(line)))
y_list.ap... |
6,177 | fad2ad89e4d0f04fad61e27048397a5702870ca9 | import random
import datetime
import os
import time
import json
#
l_target_path = "E:/code/PYTHON_TRAINING/Training/Apr2020/BillingSystem/bills/"
while True:
l_store_id = random.randint(1, 4)
now = datetime.datetime.now()
l_bill_id = now.strftime("%Y%m%d%H%M%S")
# Generate Random Date
start_da... |
6,178 | d61024ecbd092852fc3396e6919d6d3c8aa554db | import json
import redis
redis_client = redis.StrictRedis(host="redis", port=6379, db=1, password="pAssw0rd")
def publish_data_on_redis(data, channel):
redis_client.publish(channel, json.dumps(data)) |
6,179 | 8be70543a7aa177d9ad48fb736228b1ffba5df16 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from interface_app.models import TestTask, TestCase
from interface_app.extend.task_run import run_cases
import os
import json
from interface_app.apps import TASK_PATH, RUN_TASK_FILE
"""
说明：接口任务文件，返回HTML页面
"""
# 获取任务列表
def... |
6,180 | 18e032b7ff7ae9d3f5fecc86f63d12f4da7b8067 | # 예시 입력값
board = [[0,0,0,0,0],[0,0,1,0,3],[0,2,5,0,1],[4,2,4,4,2],[3,5,1,3,1]]
moves = [1,5,3,5,1,2,1,4]
# 로직
resultList = []
count = 0
for nth in moves:
for i in range(len(board)):
selected = board[i][nth - 1]
if selected == 0:
continue
else:
# 인형을 resultList에 넣고
... |
6,181 | e22574b5c458c23c48915274656f95a375cdc0e6 |
i = 0
while i < 10:
print("Hello", 2 * i + 5)
i = i + 1 |
6,182 | 8c5815c1dd71b2ae887b1c9b1968176dfceea4f9 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
import time
import csv
options = Options()
# options.add_argument('--headless')
options.add_argument('--disable-gpu')
driver = webdriver.Chrome(ChromeDriverManager().install(), ... |
6,183 | ed5dd954dedb00bf645f9ca14b5ca9cd122b2adc | from .gunicorn import *
from .server_app import *
|
6,184 | 6e557c2b85031a0038afd6a9987e3417b926218f | import os
from setuptools import setup
from django_spaghetti import __version__
with open(os.path.join(os.path.dirname(__file__), 'README.rst')) as readme:
README = readme.read()
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
setup(
nam... |
6,185 | be58a2e0dcdbcb3a3df0da87be29ce7ebcee7fe9 | class Process:
def __init__(self, id, at, bt):
self.id = id
self.at = at
self.bt = bt
self.wt = 0
self.ct = 0
self.st = 0
self.tat = 0
def fill(self, st):
print('Current process:', self.id)
self.st = st
self.ct = self.st + self.bt
... |
6,186 | e1228f5e17bae6632f8decd114f72723dbbce944 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from libtbx.program_template import ProgramTemplate
from mmtbx import pdbtools
from libtbx import Auto
import os
import mmtbx.pdbtools
from cctbx import uctbx
class Program(ProgramTemplate):
description = '''
phenix.pdbtools to... |
6,187 | 5bfb7fc60ddf4f6ad6d89771eb0a8903b04da3d9 | '''
Import necessary libraries
'''
import re
import csv
import os
from urllib.request import urlopen, Request
from bs4 import BeautifulSoup as soup
'''
Function to request page html from given URL
'''
def page_html(requested_url):
try:
# define headers to be provided for request authenticatio... |
6,188 | 49679782ac696b3dc4f5038565f88304a44098e1 | #!/usr/bin/env python3
import json
import sys
import time
import zmq
log_file = "./mavlink-log.txt"
zmq_context = zmq.Context()
connect_to = sys.argv[1]
send_socket = zmq_context.socket(zmq.PUSH)
send_socket.connect(connect_to)
def get_first_timestamp(log_file):
with open(log_file) as f:
for line in f:
line_... |
6,189 | 52eec56f7f5da8356f61301994f846ef7769f73b | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import tempfile
from functools import partial
import numpy as np
import torch
from ax.benchmark.benchmark_pr... |
6,190 | f6f1cd95e4aaa5e434c3cf3cff0d46b45fc7b830 | import re
import datetime
from django import forms
from django.utils.translation import ugettext as _
from vcg.util.forms import mobile_number_validation
from vcg.company_management.models import ConfigurationContact, ConfigurationLogo, ConfigurationHomepage, ConfigurationLocation
class ConfigurationContactForm(for... |
6,191 | de7cd231aceb2700acb3ecafe36d1ba1f5c1643b | #!/usr/bin/python
import sys
import itertools as it
pop_list = []
#with open("/Users/dashazhernakova/Documents/Doby/GenomeRussia/ancientDNA/GR+Lazaridis.ind") as f:
with open(sys.argv[1]) as f:
[pop_list.append(l.strip().split("\t")[2]) for l in f if l.strip().split("\t")[2] not in pop_list]
triplets = it.combinati... |
6,192 | 16850d931eec0356f71317cc24461e006fbcd59c | start = input()
user_list = start.split()
if user_list[-1] == 'wolf':
print('Please go away and stop eating my sheep')
else:
user_list.reverse()
print(f'Oi! Sheep number {user_list.index("wolf,") }! You are about to be eaten by a wolf!')
|
6,193 | a2d2ffe5ed6a844341f7ad731357bb837cee4787 | import math
import random
from PILL import Image, ImageDraw
for i in range(1,1025):
pass
for j in range(1,1025):
pass
epipedo[i][j]
for i in range(1,21):
pass
im = Image.new("RGB", (512, 512), "white")
x=random.choice(1,1025)
y=random.choice(1,1025)
r=random.choi... |
6,194 | f7174bf4e7612921e730ac87141c85654a2f2411 | from PyQt5.QtWidgets import QHeaderView, QWidget
from presenters.studyings_presenter import StudyingsPresenter
from view.q_objects_view import QObjectsView
class QStudyingsView(QObjectsView):
def __init__(self, parent):
QWidget.__init__(self, parent)
QObjectsView.__init__(self, parent)
se... |
6,195 | 878937e19d6a48a0d44309efbac1d41c208ce849 | '''
This module is used for handling the button.
'''
import RPi.GPIO as GPIO
from aiy.voicehat import *
class Button:
status = bool() #status indicates whether it is supposed to be on or off.
LED_pin = 25 #Pin for the LED in the button in the Google AIY kit.
button_pin = 23#... |
6,196 | 3ec0c20fb2dfed9930885885288cc5d47f4f5ee5 |
import xmlrpclib
import socket
import time
import math
import re
from roundup.exceptions import Reject
REVPAT = re.compile(r'(r[0-9]+\b|rev(ision)? [0-9]+\b)')
def extract_classinfo(db, klass, nodeid, newvalues):
if None == nodeid:
node = newvalues
content = newvalues['content']
else:
... |
6,197 | ecbb64223b0d5aa478cf91e1fcafe45572eac1af | # Copyright 2021 TerminalWarlord under the terms of the MIT
# license found at https://github.com/TerminalWarlord/Subtitle-Downloader-Bot/blob/master/LICENSE
# Encoding = 'utf-8'
# Fork and Deploy, do not modify this repo and claim it yours
# For collaboration mail me at dev.jaybee@gmail.com
from pyrogram impo... |
6,198 | ad813216ba8162a7089340c677e47c3e656f7c95 | from flask import Flask, request, render_template, redirect
from pymongo import MongoClient
from envparse import env
from flask_httpauth import HTTPDigestAuth
import os.path
# Get env vars stored either in an env file or on the machine
def get_env(name):
if (os.path.exists('./env')):
env.read_envfile('./env')
ret... |
6,199 | c5b50420788ddde7483a46c66aca3922ddb47952 | #-*- coding: utf-8 -*-
from SPARQLWrapper import SPARQLWrapper, SPARQLWrapper2, JSON
import time, random
# testes
NOW=time.time()
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
sparql.setQuery("""
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label
WHERE { <http://dbpedia.org/resource/L... |
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