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# -*- coding: utf-8 -*-
from os import path
from glob import glob
import sys
import importlib
class Bot(object):
def __init__(self):
self._cmd = ''
self._listeners = []
def add_listener(self, listener):
self._listeners.append(listener)
def say(self, m):
print(m)
@prop... |
import sys
input_string_1 = "test";
input_string_2 = "tTtt";
#we make an assumption, and then try to disprove it
is_permutation = True;
#we hash the first string, then second string, and compare the frequency of letters in each
if (len(input_string_1) != len(input_string_2)):
is_permutation = False;
else:
#h... |
def unlimited_arguments(*args):
for argument in args:
print(argument)
unlimited_arguments(1,2,3,4)
unlimited_arguments(*[1,2,3,4])
def unlimited_arguments2(*args, **keyword_args):
print(keyword_args)
for k, argument in keyword_args.items():
print(k, argument)
unlimited_arguments(1,2,3,4)
... |
from create_model import *
from transform import load_weight_16
import numpy as np
from keras import optimizers
from keras import regularizers
from keras import callbacks
from keras.utils import to_categorical
from keras.preprocessing.image import ImageDataGenerator
if __name__ == "__main__":
x = np.load("x.npy")... |
from rest_framework.views import APIView
from .myCreator import create
import os
from django.http import HttpResponse
class ApplicationView(APIView):
def get(self, request):
params = dict(request.query_params)
userId = request.user
if type(userId) != 'str':
userId = "AnonymousU... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('authentication', '0012_auto_20150716_0156'),
('relationships', '0005_comments'),
]
operations = [
migrations.CreateM... |
import cv2
import numpy as np
import pyautogui
import sudoku99
left = 731
top = 120
width = 82
def read_img(image):
sudoku = np.zeros([9, 9], dtype=np.int)
img_gray = np.array(image.convert('L'))
for i in range(1, 10):
template = cv2.imread('img/{}.png'.format(i), 0)
h, w = template.shape... |
# File: tv_shows_fxns.py
# Author: Joel Okpara
# Date: 3/28/2016
# Section: 04
# E-mail: joelo1@umbc.edu
# Description:
# This file contains python code that implements lab5
# (a TV show voting system) using functions to:
# 1) Get a choice
# 2) Find the name of the winner
STOP = 0
# getVote() returns a valid choice f... |
import win32gui
import win32api
import os
def getwindow(Title="SpotifyMainWindow"):
window_id = win32gui.FindWindow(Title, None)
return window_id
def song_info():
try:
song_info = win32gui.GetWindowText(getwindow())
except:
pass
return song_info
def artist():
try:
temp = song_info()
... |
# Напишите программу, которая реализует reducer для задачи WordCount в Hadoop Streaming.
# Sample Input:
# cogitare 1
# est 1
# est 1
# est 1
# militate 1
# potentia 1
# Scientia 1
# Vivere 1
# Vivere 1
# Sample Output:
# cogitare 1
# est 3
# militate 1
# potentia 1
# Scientia 1
# Vivere ... |
from karel.stanfordkarel import *
"""
File: MidpointKarel.py
----------------------
When you finish writing it, MidpointKarel should
leave a beeper on the corner closest to the center of 1st Street
(or either of the two central corners if 1st Street has an even
number of corners). Karel can put down additional beepe... |
import requests
import time
#多进程
if __name__ == '__main__':
count=10
while True:
if count<=0:
break;
response1=requests.get("http://localhost:8080/joke/task_get")
task_key=response1.content.decode("utf-8")
print(task_key)
if task_key=="":
count=c... |
# -*- test-case-name: mimic.test.test_auth -*-
"""
Defines get token, impersonation
"""
from __future__ import absolute_import, division, unicode_literals
import json
import time
import attr
from twisted.python.urlpath import URLPath
from mimic.canned_responses.auth import (
get_token,
get_endpoints,
f... |
#!/usr/bin/python
#coding=utf-8
from ipfunc import *
import os
re_strong = re.compile(".*strong class=.*")
re_strongb = re.compile("strong.*strong")
url_1 = 'http://ip.chinaz.com/?IP='
def Get_LocalInfo(): #Get Localhost Infomation
LocalInfo = []
f = urllib2.urlopen(url_1).read()
for i in re_strong.findall(f):... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 10/02/2018 5:06 PM
# @Author : Lee
# @File : SST.py
# @Software: PyCharm
class SST(object):
def __init__(self, head=None, count=0):
self.head = head
self.count = count
def size(self):
return self.count
def is_empty(s... |
"""
什么是协程？
又称为微线程、纤程，英文名：Coroutine
import asyncio
async def main():
print("hello")
await asyncio.sleep(1)
print("world")
asyncio.run(main())
通过async/await语法进行声明，是编写异步应用的推荐方式
使用asunc修饰要运行的函数，在运行协程函数时，需要await。
可以用run或者creat_task启动微线程
"""
import asyncio,time
async def say_after(delay,what... |
import numpy as np
import cv2
# flag for imread 0 is grayscale, 1 is color, -1 is alpha channel
#img = cv2.imread('lena.jpg', 1)
# create image with numpy zeros method
img = np.zeros([512, 512, 3], np.uint8)
# draw a line
img = cv2.line(img, (0, 0), (255, 255), (147, 96, 44), 10) # 44, 96, 147
img = cv2.arrowedLine... |
import math
def makeChange(cents):
coins = {};
if cents/100 >= 1:
coins["dollars"] = math.floor(cents/100);
cents = cents % 100
if cents/50 >= 1:
coins["half-dollars"] = math.floor(cents/50);
cents = cents % 50
if cents/25 >= 1:
coins["quarters"] = math.floor(cen... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import mysql.connector
class Edition():
def __init__(self):
self.id=0
self.name=""
def all(self):
try:
conn = mysql.connector.connect(host="localhost",user="root",password="magicpswd", database="magic")
cursor = conn.cursor()
cursor.execute("""SELECT i... |
# Copyright 2022 Pulser Development Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... |
# Author: Lizhen Tan
import numpy as np
import pandas as pd
import scipy.stats as stats
import matplotlib.pyplot as plt
'''required functions for main program'''
def test_grades(grade_list):
# take a grade_list as input, assign numeric values to the letter grades (i.e. A = 5,
# B = 3, C = 1), then fit a line... |
def battery_is_ok(temperature, soc, charge_rate):
if temperature < 0 or temperature > 45:
print('Temperature is out of range!')
return False
elif soc < 20 or soc > 80:
print('State of Charge is out of range!')
return False
elif charge_rate > 0.8:
print('Charge rate is out of range!')
retu... |
#!/usr/bin/env python
# coding: utf-8
import os
from . import DatasetDirectoryError
def getDatasetDirectory():
DATASET_EXPLORER_ROOT = "DATASET_EXPLORER_ROOT"
if DATASET_EXPLORER_ROOT not in os.environ:
raise DatasetDirectoryError(
f"The environment variable {DATASET_EXPLORER_ROOT} must b... |
from os.path import join, exists, isdir
from os import environ
from .config import CONFIG
KEY_VIMRC_PATH = 'vimrc_path'
def find_vimrc_auto() -> str:
cfgp = CONFIG.get(KEY_VIMRC_PATH, None)
if cfgp is not None:
return cfgp
h = environ.get('HOME', None)
if h is None:
return None
... |
from PIL import Image, ImageDraw, ImageFont
import textwrap
import os
import json
import base64
def makememe( text, location ):
if len(os.listdir(location)) == 0:
return
for file in os.listdir(location):
imgname = file
img = location + "/" + imgname
image = Image.open(img)
draw = ... |
A=int(input("A= "))
B=int(input("B= "))
if(A<B):
for i in range(A,B):
print(i)
i=B-A
print("N=",i) |
# Generated by Django 3.1.2 on 2020-11-06 14:21
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Categories',
fields=[
... |
import os
import logging
import fisheye
class Settings(object):
"""docstring for Settings"""
APP_ROOT = os.path.dirname(os.path.realpath(__file__))
# Number of allowed threads/process to run in parallel to process videos
PROCESSINGS_THREADS_NUM = 3
#
# Uploads settings
#
UPLOAD_FOLDER = os.path.join(... |
#coding:gb2312
#创建数值列表和对列表进行一些简单的操作
for numbers in range(1,6):#range(1,6)只包含1，2，3，4，5，没有6
print(numbers)
#range创建数字列表：
numbers=list(range(1,6))#list()将数字转化成列表
print(numbers)
even_numbers=list(range(2,14,2))#range(x,y,z)x,y表示数字范围，z表示步长即数字间的距离
print(even_numbers)
#比较下列三种创建列表的方式
#第一种
squares=[]
for number in range(1,1... |
# Generated by Django 3.0.5 on 2020-04-29 21:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0006_auto_20200429_1345'),
]
operations = [
migrations.AlterField(
model_name='product',
name='description',... |
from django.contrib import messages
from django.shortcuts import redirect, render
from django.contrib.auth.decorators import login_required
from .forms import extend_user_form, user_detail_form, todo_entery_form
from django.contrib.auth.models import User
from .models import enter_todo_items
# indexview
@login_requi... |
from herd import Herd
from weapon import Weapon
from herd import Herd
from dino import Dino
class Robot:
def __init__(self, name, weapon):
self.name = name
self.health = 200
self.weapon = weapon
def attack(self):
health = Dino.health()
atk = Weapon.attack_power()
... |
#! /usr/bin/python
# coding=utf-8
import os
import subprocess
from scipy import misc
from lib import *
import argparse
parser = argparse.ArgumentParser(description='Compute an exposure-fused image from multiple different exposures')
parser.add_argument("source", help="Folder containing all the images to be fused toge... |
n = int(input())
print(*[1, 1, n-2] if n % 3 == 0 else [1, 2, n - 3])
|
# implementation of card game - Memory
import simplegui
import random
turns = 0
# helper function to initialize globals
def new_game():
global dock, exposed, state, turns
turns = 0
state = 0
cards = range(0,8) * 2
dock = []
for card in cards:
dock.append(card)
random.shuffle(dock)
... |
import webbrowser
# Base Classe Video
class Video():
def __init__(self, title, duration, producer):
self.title = title
self.duration = duration
self.producer = producer
def show__trailer(self):
webbrowser.open(self.trailer_youtube_url)
#... |
import time
import math
import argparse
from typing import Optional, Tuple
from functools import partial
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
class BertSelfAttention(nn.Module):
def __init__(self, hidden_size, num_attention_heads, attention_probs_... |
from app.utils.dotdict import DotDict
from app.utils.extract_value import get_base_url_till_given_string
import unittest
class ExtractValue(unittest.TestCase):
def test_get_base_url_till_given_string(self):
request = DotDict({"base_url": "http://www.zooreach.com/category/fishes"})
string = 'catego... |
from argparse import ArgumentTypeError
import sys
sys.path.append("..")
from utils import connector
def get_table(cfg, limit, offset):
table = cfg.get('postgres', 'table')
data = connector.postgres_to_dataframe(table=table)
return data
|
__author__ = "Narwhale"
# #递归
# def fib(n):
# """斐波拉契"""
# if n == 0:
# return 1
# if n == 1:
# return 1
# if n == 2:
# return 2
# return fib(n-1)+fib(n-2)
#
#
# f = fib(50)
# print(f)
#
# #循环
# def fib(n):
# """斐波拉契"""
# a,b = 0,1
# while n > 0:
# a,b ... |
import datetime
import io
from time import sleep
from PIL import Image as Img_pil
from django.test import TestCase
from project_apps.users.models import CustomUser as User
from project_apps.plans.models import Plan, ThumbnailSize
from project_apps.images.models import Image
from rest_framework.reverse import revers... |
n,a,d=map(int,input().split())
x=n*a%d
print(int(x))
|
### IMPORT STATEMENTS ###
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import numpy as np
import pandas as pd
import os
import time
import matplotlib.pyplot as plt
import string
from models import *
from configs import cfg
from nltk.translate.bleu_score import sent... |
from django.urls import path, include
from . import views
urlpatterns = [
path('', views.log_and_reg),
path('register', views.register),
path('login', views.login),
path('index', views.index),
path('logout', views.logout),
path('wall', views.wall),
path('post_message', views.post_message),... |
import tkinter as tk
tela = tk.Tk()
tela.geometry('500x250+500+400') |
"""
One of the most widely used formats for astronomical images is the Flexible Image Transport System.
In a FITS file, the image is stored in a numerical array, which we can load into a NumPy array.
FITS files also have headers which store metadata about the image.
FITS files are a standard format and astronomers ha... |
import _judger
import hashlib
import logging
import os
import socket
import psutil
from config import SERVER_LOG_PATH
from exception import JudgeClientError
# 服务器工具类
# 日志工具类：配置logging基本的设置
# 获得日志对象
logger = logging.getLogger(__name__)
#设置服务器的日志路径，用于将日志写到文件中
handler = logging.FileHandler(SERVER_LOG_PATH)
#时间+日志级别+日志信... |
#!/usr/bin/env python
from fabricate import *
def input1():
pass # source file
def gen():
run('sh','monad3-gen','--','gen')
def lst():
run('sh','monad3-run','source','--','list')
def output():
lst()
array = []
with open('list', 'r') as f:
for line in f:
line = line.replac... |
#!/usr/bin/python
import itertools
primes = [2, 3, 5, 7, 11, 13, 17]
def tupToInt(num):
n = 0
for i in num:
n *= 10
n += i
return n
def property(num):
num = str(num)
for i in range(7):
if int(num[i+1:i+4]) % primes[i] != 0:
return False
return True
pans = l... |
from django.conf.urls import url
from . import views
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
urlpatterns = [
url(r'^$', views.index), # This line has changed!
url(r'^books$', views.books,name='books'),
url(r'^mining$', views.mining, name='mining'),
url(r'^chart... |
#-*- coding: utf-8 -*-
from lxml import etree
import os
def get_indentation_level(row, level_indent=4):
row = row.replace("\t", " "*level_indent)
i = 0
while row[i] == " ":
i += 1
return int(i / level_indent)
def validate(rows):
current_level = 0
for row in rows:
level = g... |
import csv
import representativeValue as rv #representativeValue.pyをrnという名前で読み込む .pyは不要
import sys
from operator import itemgetter
##########HEADER確認##########
def check_header(fileName):
filename = fileName
with open(filename) as f:
r = csv.reader(f, delimiter=',')
rows = [l for l in r]
cnt = 0
for row in r... |
numbers=[2,3,1,6,4,8,9]
numbers.clear() # bu clear o'z nomi bilan listni tozalaydi elementlaridan
print(numbers) |
import numpy as np
import matplotlib.pyplot as plt
import math
def normal(mu,sigma,x): #normal distribution
return 1/(math.pi*2)**0.5/sigma*np.exp(-(x-mu)**2/2/sigma**2)
def eval(x):
return normal(-4,1,x) + normal(4,1,x)
#return 0.3*np.exp(-0.2*x**2)+0.7*np.exp(-0.2*(x-10)**2)
def ref(x_star,x): #normal... |
import dash_bootstrap_components as dbc
from dash import html
placeholder = html.Div(
[
dbc.Placeholder(color="primary", className="me-1 mt-1 w-100"),
dbc.Placeholder(color="secondary", className="me-1 mt-1 w-100"),
dbc.Placeholder(color="success", className="me-1 mt-1 w-100"),
dbc.... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^home/$', views.index, name="index"),
url(r'^order_meal/(?P<meal_id>\d+?)$', views.index, name="order_meal"),
]
|
"""
Test agent. First version of the minecraft agent, which will function in a 2D
world (i.e. a slice of the 3D world) and solve a simple bridge problem.
Modified from example_plugin found in the original SpockBot repository
"""
import logging
import os
import sys
# custom plugins. can be placed anywhere that is acce... |
import re
with open('Scared.txt', mode='r') as word:
words = (word.read())
print(words)
a = re.findall('the', words)
pattern = re.compile('She')
print(a)
b = pattern.findall(words)
print(b)
pattern1 = re.compile(r"([a-zA-Z]).([e])")
c = pattern1.search(words)
print(c)
print(c.group(1))
# ... |
import json
from statistics import mode
from operator import itemgetter
import pandas as pd
from django.shortcuts import render
from itertools import groupby
from django.views.decorators.csrf import csrf_exempt
import requests
# Create your views here.
@csrf_exempt
def index(request):
link = "https://www.mo... |
from datetime import date
from typing import List
import uvicorn
from fastapi import FastAPI
from fastapi import HTTPException
from pydantic_aioredis import Model
from pydantic_aioredis import RedisConfig
from pydantic_aioredis import Store
# Create models as you would create pydantic models i.e. using typings
clas... |
'''graphical user interface'''
import gui
# --- event handlers ---
def greeting(evt):
import wx, sys
gui.alert('\n'.join([wx.version(), sys.version]), "gui2py hello world!")
# --- gui2py designer generated code starts ---
with gui.Window(title='gui2py minimal app', resizable=True, height='496px',
... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import io
import math
from dataclasses import dataclass
from pathlib import PurePath
from typing import Sequence
import chevron
from pants.backend.go.u... |
from .add import add
from .subtract import subtract |
import pandas as pd
import json
# Reading in CSV files with our data and extracting only the columns we need
credits = pd.read_csv("credits.csv")
credits = credits [['id', 'cast', 'crew']]
meta = pd.read_csv("movies_metadata.csv")
meta = meta [['id', 'title', 'genres']]
keywords = pd.read_csv("keywords.csv")
# Our i... |
from __future__ import division # floating point division
import csv
import random
import math
import numpy as np
import matplotlib.pyplot as plt
import dataloader as dtl
import regressionalgorithms as algs
def l2err(prediction,ytest):
""" l2 error (i.e., root-mean-squared-error) """
return np.linalg.norm(np... |
#!/usr/bin/env python3
import math
import numpy as np
import matplotlib.pyplot as plt
from numpy.random import *
import mnist_reader
from itertools import *
import numba
import pickle
import sys
import argparse
class ETA:
def __init__(self, _n):
self.n = _n
self.i = 0
def bump(self):
... |
from tkinter import *
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import threading
import time
import numpy as np
from tkinter.messagebox import showinfo
VALORES = []
teste = None
tempoDeExecucao = 0
# Classe para criação de Threads
class minhaThread(threading.... |
import sys
import json
import re
from flask_cors import CORS
from flask import Flask, request, jsonify
from flask_restful import Resource, Api
from json import dumps
bad_words_txt = open('badwords.txt', 'r').read()
bad_words_arr = bad_words_txt.splitlines()
print(bad_words_arr)
class REMOVE_BAD_WORDS(Resource):
... |
x, x1, y, y1 = map(int, input().split(' '))
i = x * 60 + x1
f = y * 60 + y1
if (f > i):
m = f - i
else:
m = (24 * 60) - i + f
h = m // 60
m = m % 60
if h == 0 and m == 0:
h = 24
m = 0
print('O JOGO DUROU {} HORA(S) E {} MINUTO(S)'.format(h, m)) |
import json
from grant.utils.enums import ProposalStatus, CCRStatus
import grant.utils.admin as admin
from grant.utils import totp_2fa
from grant.user.models import admin_user_schema
from grant.proposal.models import proposal_schema, db, Proposal
from grant.ccr.models import CCR
from mock import patch
from ..config im... |
from .event import Event
from .speaker import Speaker
from .schedule import Conference, Room
from .simpletz import SimpleTZ
|
from django.db import models
# Create your models here.
class Topic(models.Model):
topic_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('date published')
def __str__(self):
return self.topic_text
class Question(models.Model):
topic = models.ForeignKey(Topic, on_delet... |
# Generated by Django 2.0.4 on 2018-05-13 20:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('music', '0005_remove_music_style'),
]
operations = [
migrations.AddField(
model_name='music',
name='style',
... |
import numpy as np
import scipy.interpolate as intp
from astropy.io import fits
from astropy.io import ascii
import sys
import imageSubs as iS
print 'subtracting average radial profile (this may take a while)'
#load file names, target list and median psf
files = ascii.read('NIRC2_sci_20020_1.txt')
fileNames = np.arra... |
from migrate import conn_commons
class Order:
@staticmethod
def select_old_coupon(user_ids_str):
sql = "select * from t_coupon_user where user_mark in %s"
coupon_conn = conn_commons.Commons()
return coupon_conn.select_old_data(sql % user_ids_str, None)
@staticmethod
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import re
from ripozo.resources.fields.common import StringField
from ripozo_sqlalchemy import AlchemyManager, ScopedSessionHandler
from common.models import engine, Po... |
import logging
import redis
from flask import Flask, g
from settings.config import DefaultConfig
from settings.config import local as localconfig # Rename for clarity
from shared import snippets
from routes.authentication import authentication
from routes.game import game
from routes.generic import frontend
from a... |
# -*- coding: utf-8 -*-
# flake8: noqa
from __future__ import unicode_literals
from django.db import migrations, models
import django_extensions.db.fields.json
class Migration(migrations.Migration):
dependencies = [
('webplatformcompat', '0020_populate_references'),
]
operations = [
mig... |
'''
Preprocess data
Loading, Standardizing and Filtering the raw data to dimish false positive labels
'''
import pandas as pd
import glob
from .config import config
import os
import random
def load_data(data_dir):
'''
data_dir: path to .csv files. Optionall can be a path to a specific .csv file.
nsamples... |
#!/usr/env/bin/python3
import os
newfile=open("list.py","w+")
#print (newfile.mode)
#print (newfile.name)
#print (newfile.softspace)
#print (newfile.seek)
|
from bs4 import BeautifulSoup
import requests
url = 'http://www.winequality.com'
r = requests.get(url)
html_doc = r.text
print(html_doc)
soup = BeautifulSoup(html_doc)
print(soup.prtify)
print(soup.title)
tags = soup.find_all('a')
for link in tags:
print(link.get('bref'))
url1 = 'http://www.analyticsindi... |
import logging
from jenkins.models import Job, Build, Artifact
from jenkins.utils import generate_job_name
def import_build_for_job(job_pk, build_number):
"""
Import a build for a job.
"""
job = Job.objects.get(pk=job_pk)
logging.info("Located job %s\n" % job)
client = job.server.get_client(... |
"""
Health handler module.
The `HealthHandler` provides an interface to manipulate a Pokemon's health
whilst respecting the various hooks and calls required. The handler is
instantiated as a property on a pokemon typeclass, with the pokemon passed
as an argument. It looks for the health properties in the character's d... |
""" Fluid Logo
Incompressible fluid simulation with obstacles and buoyancy.
"""
from phi.flow import *
# from phi.torch.flow import *
# from phi.tf.flow import *
# from phi.jax.flow import *
DOMAIN = dict(x=128, y=128, bounds=Box(x=100, y=100))
OBSTACLE_GEOMETRIES = [Box(x=(15 + x * 7, 15 + (x + 1) * 7), y=(41, 83)) ... |
""" roll_dice
Roll dice for multiple players.
Author: Jack Jiang (z5129432)
Version: v01
Date: 28/08/2017
"""
from random import seed
from os import system
from input_players import input_players
from roll_dice import roll_dice
def play():
player_list = input_players()
now_rounds = 1
while Tr... |
# This script goes thhrough various useful functions from the os module as well as other useful built-in libraries
import os
filename = os.path.join(os.environ.get("HOME"), "test.txt") # example filename that we will use for this walkthrough
# listing all the files and folders inside the specified directory
print(os.l... |
import random
from model.contact import Contact
from model.group import Group
import allure
def test_add_contact_in_group(app, db, orm, check_ui):
with allure.step("If there are no groups create a group"):
if len(orm.get_group_list()) == 0:
app.group.create(Group(name="Group for adding contacts... |
from datetime import datetime, timedelta
from django.contrib.gis.geos import Point
from django.test import TestCase
from elections.models import Election
from elections.tests.factories import (
ElectionFactory,
ElectionWithStatusFactory,
ModerationHistoryFactory,
ModerationStatusFactory,
related_st... |
import pandas as pd
import numpy as np
from IPython.display import display
def display_all(df):
with pd.option_context("display.max_rows", 1000, "display.max_columns", 1000, "display.max_colwidth", 1000):
display(df)
def add_datepart(df, fldname, drop=True):
"""
The add_datepart... |
# Generated by Django 2.1.5 on 2019-01-26 21:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Models', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='visit',
name='date',
field... |
declare @date_from datetime
declare @date_to datetime
declare @report_type smallint = 0
declare @firm_id int = null
declare @company_id int = null
declare @partner_id int = null
declare @region_id int = nul
|
import itertools
from nltk.corpus import wordnet
#import enchant
import anagrind
import cfg # src file with globals
############parsing####################
def parse_clue(fullclue):
cluewords = fullclue.split()
for wd in cluewords:
if(cfg.charade_dict.has_key(wd)):
print(wd, " could indica... |
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def reorder(head):
l={}
if head == None:
return None
i=0
while True:
l[i] = head
i+=1
head=head.next
if head == None:
break
n=i-1
if n == 0:
r... |
import boto3
import json
import os
import sys
import time
from datetime import datetime
import decimal
import uuid
class Pekl(object):
def __init__(self, bucket_name, region_name=None):
self.bucket_name = bucket_name
if region_name is not None:
self.region = region_name
else:
... |
from collections import Counter
from sklearn.base import BaseEstimator
import numpy as np
class KNN(BaseEstimator):
def __init__(self, K):
self.data = []
self.K = K
def fit(self, data, ids):
self.data.extend(zip(data, ids))
def predict(self, predData):
result = []
... |
import sys
import os
sys.path.append("..")
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QMainWindow , QApplication,QWidget, QMessageBox
os.system(r'pyuic5 -o uiclass.py ui\login.ui')
from uiclass import Ui_MainWindow
from PyQt5.QtCore import pyqtSlot
import db
class Mywindow(QMainWindow,U... |
from django.http import Http404, HttpResponseRedirect, JsonResponse
from django.shortcuts import render, get_object_or_404
from django.urls import reverse
from .models import Question, Choice
# get questions
def index(request):
context = {
'questions': Question.objects.order_by('-pub_date')[:5]
}
... |
"""
ゼロから学ぶスパイキングニューラルネットワーク
- Spiking Neural Networks from Scratch
Copyright (c) 2020 HiroshiARAKI. All Rights Reserved.
"""
import numpy as np
import matplotlib.pyplot as plt
class Izhikevich:
def __init__(self, a, b, c, d):
"""
Izhikevich neuron model
:param a: uのスケーリング係数
:para... |
#!bin/python3
import sys
"""
Execute Query of form (1 x y) or (2 x y)
SeqList , Querytype 1 or 2, x_val , y_val, lastAns,n
SeqList - Sequence nxn on which the Query has to be run
Query - Query either 1 or 2 based on which index has to be calculated
x_val - x value part of the query e.... |
for batch in range(649):
print '/home/mattmann/data/exp5/image_catalog/deploy/data/archive/chunks/' + str(batch) + '/filelist_chunk_' + str(batch) + '.txt'
|
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