text stringlengths 38 1.54M |
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class ClientSocket:
def __init__(self, socket):
self.socket = socket
def send(self, message):
pass
def receive(self):
pass
def prompt(self, prompt_message):
self.socket.sendall(prompt_message.encode('utf-8'))
return self.socket.recv(1024).decode('utf-8')
|
# -*- coding: utf-8 -*-
"""
Utilities related to optimisation.
"""
import logging
from typing import Optional
import numpy as np
from scipy.optimize import minimize
from scipy.special import logsumexp
logger = logging.getLogger(__name__)
def optimise_meta_proposal_weights(
samples: np.ndarray,
log_q: np.nd... |
from api.PersonalCenter.PersonalCenter import *
class Pam():
def __init__(self,api_url, **kwargs):
self.api_url = api_url
self.personnal = PersonalCenter(self.api_url,**kwargs)
|
from BanahawApp import Session,Mini_func
from BanahawApp.table import T_Facial_Services
class Facialmodel(Mini_func):
def __init__(self, **kwargs):
self.__session = Session()
self.__args = kwargs
def get_services(self):
retval = None
result = self.__session.query(T_Facial_Services).all()
te... |
import json
import dateutil.parser
from typing import Dict
class ReferenceError(Exception):
pass
class References(object):
def __init__(self, references: Dict[int, 'Reference']) -> None:
self.references = references
def to_json(self):
return {key: value.to_json() for key, value in self.... |
from utils import *
class Config(object):
def __init__(self):
self.model_name = 'bert'
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self.num_classes = 2
self.bert_path = './Model'
self.hidden_size = 768
self.tokenizer = BertTokenizer... |
import os
import pdb
import numpy as np
import pandas as pd
from numpy import savetxt
from sklearn.model_selection import train_test_split
from load_data import LoadData
# USE MAP DICT TO READ INPUT FROM DEEPLEARNING
# drug -[drug_map]-> drug_name(drug_i, drug_j)
# celllinename -[celllinemap]-> cellline_name
# ... |
"""
Created By : Nikesh
Created On :
Reviewed By :
Reviewed On :
Version :
"""
import datetime
from PIL import Image
from fuzzywuzzy import fuzz
class Validation:
def __init__(self, is_valid=True, validation_message="Not a valid Object", validation_object=None):
self.is_valid = is_valid
self.val... |
import logging
from os import path
import itertools
from typing import Any, Dict, List, Optional
import torch
from torch.nn import functional as F
from overrides import overrides
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import FeedForward, Seq2SeqEncoder
from ... |
import requests
from bs4 import BeautifulSoup
from lxml import html
from requests.compat import quote_plus
def ins(name):
features=[]
headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36'}
instructables='https://www.inst... |
# -*- coding: utf-8 -*-
#
# Original code from https://github.com/manelromero/checkpoint
# A library for communicating with Check Point's management server using
# written by: Check Point software technologies inc.
# tested with Check Point R80 (tested with take hero2 198)
#
# Code updated to python 3.X compatibility
#... |
class Solution(object):
def simplifyPath(self, path):
"""
:type path: str
:rtype: str
"""
if path is "":
return path
path_elems = path.split("/")
new_path_elems = []
i = 0
while i<len(path_elems):
if path_elems[i] =... |
from nose.plugins.attrib import attr
from pages.ATG_login_page import ATGLoginPage
from utility.drivermanager import DriverManager
import logging
from utility.services import Services
from pages.post_detail_page import PostDetailPage
#task 10
@attr(website=['party', 'world'])
class PostDetailShareTest(DriverManager):
... |
#！/usr/bin/env python
# _*_ coding:utf-8 _*_
'''
@author: yerik
@contact: xiangzz159@qq.com
@time: 2018/6/26 9:38
@desc: poloniex 数据抓取
'''
import json
import numpy as np
import os
import pandas as pd
import urllib
import time
ts = {
'2015': 1420041600,
'2016': 1451577600,
'2017': 1483200000,
'20... |
import requests
import pandas as pd
from bs4 import BeautifulSoup
from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('--incognito')
driver = webdriver.Chrome(executable_path = '/Users/drarn/Documents/Code/Study/BigData/WebScraping/chromedriver', options = options)
url = 'https://w... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Create your views here.
from django.db import models
from django import forms
from django.forms import ModelForm
from django.db.models import Q
from django.core.context_processors import csrf
from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts i... |
from django import forms
from django.contrib import admin
from django.urls import reverse
from django.db.models import Count
from django.utils.html import format_html
from adminsortable2.admin import SortableInlineAdminMixin, SortableAdminBase
from core.forms import RichTextField
from eligibility.models import Eligib... |
#coding=utf-8
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.nn.functional as F
from word2vec import SkipGramModel
import dataset
def get_input_layer(word_idx):
x = torch.zeros(vocabulary_size).float()
x[word_idx] = 1.0
return x
def main():... |
#homeview.py
from django.shortcuts import render
from models import Bulletin, UserData
from django.http import HttpResponseRedirect
from ajaxviews import pullfeed
import datetime
def home(request):
me = UserData.objects.get(pk=request.session['pk'])
helps = pullfeed(UserData.objects.get(pk=request.session['pk'... |
class Solution:
def nthUglyNumber(self, n: int) -> int:
ugly = [1]
if n<1:
return ugly[0]
two = 2
three = 3
five = 5
index2 = 0
index3 = 0
index5 = 0
count = 0
while count<=n:
count+=1
minimun ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2009 Timothée Lecomte
# This file is part of Friture.
#
# Friture is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 3 as published by
# the Free Software Foundation.
#
# Friture is distri... |
import requests
from time import sleep
url = input('url: ')
timeout = int(input('timeout: '))
try:
resp_url = requests.get(url,timeout=timeout).url
except:
print('Could not connect to the site')
quit()
def request(url,timeout):
try:
resp = requests.get(url,timeout=timeout)
except:
... |
import numpy as np
from os.path import isfile
import random
total_iter = 100
min = 0.06
max = 1.5
bars = 18
class partical:
def __init__(self, A=np.zeros((1, bars))):
self.fits = 0
self.A = A
self.density = 0.1
self.pbest = None
self.pbest_fit = Non... |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from users.models import Profile
from .validators import phone_regex
from .custom_fields import ListField
from PIL import Image
# WEEKDAYS = [
# (1, _("Monday")),
# (2, _("Tuesday")),
# (3, _("Wednesday")),
# (4, _("Th... |
class Atm(object):
def __init__(self,card_number,pin):
self.card_number = card_number
self.pin = pin
def wth(self):
print("Money withdrawn...")
def statement(self):
print("Account statement:-")
prin... |
# Квадратная матрица поменять минимальный элемент и дигональный элемент строки.
def getMatrix():
size = int(input('Введите размер квадрвтной матрицы: '))
matrix = [0] * size
print('Построчно введите элементы матрицы:')
for i in range(size):
matrix[i] = list(map(float, input('> ').split()... |
data = open("./Day8/day08.input").read().splitlines()
ops = {"+": lambda x: x, "-": lambda x: -x}
def execute_game(data, score, step, steps_completed):
operation, argument = data[step].split(" ")
if step in steps_completed:
return score
steps_completed.append(step)
if operation == "nop":
... |
# coding=utf-8
import os
from pytoolbox.util import pmc_config
from pytoolbox.util.pmc_config import read_string
class App:
ADMINS = ['liufan@lvye.com', 'yiwang@lvye.com', 'mengyu@lvye.com', 'zhoushiwei@lvye.com']
JSON_AS_ASCII = False
SECRET_KEY = os.environ.get('SECRET_KEY') or '.yek eyvl'
TESTING =... |
# ANI2102A19/sitecustomize.py | Programmation Python avec Maya | coding=utf-8
# Exemple d'un script de configuration lancé à l'initialisation de l'interpréteur Python, avant le démarrage de Maya.
# Pour être exécuté, le fichier doit absolument s'appeler 'sitecustomize.py' et se trouver au bon emplacement :
# Windows:... |
from pprint import pprint
# читаем адресную книгу в формате CSV в список contacts_list
import csv
import re
def opening_file():
with open("phonebook_raw.csv", encoding='utf-8') as f:
rows = csv.reader(f, delimiter=",")
contacts_list = list(rows)
# pprint(contacts_list)
return contacts_list
... |
import multiprocessing
import random
import time
def f(q):
while True:
rn = random.randint(1, 100)
q.put([rn, None, 'hello'])
time.sleep(0.2)
def g(q):
while True:
rn = random.randint(1, 100)
q.put([rn, None, 'goodbye'])
time.sleep(1.2)
if __name__ == '__main__... |
# -*- coding: utf-8 -*-
from tree import xmlTree
from Node import node
import time
import sys
from GUI import *
from computeTree import *
#create a tree from scratch
def test1():
tree = node()
root = tree
#first child
newChild = root.addNode("par")#parallel
#notice that the childlist start fr... |
"""
Adapted from:
Modification by: Gurkirt Singh
Modification started: 2nd April 2019
large parts of this files are from many github repos
mainly adopted from
https://github.com/gurkirt/realtime-action-detection
Please don't remove above credits and give star to these repos
Licen... |
from celery import Celery
app = Celery('celery_back', broker='redis://:package_thief@localhost:6379',
task_serializer='pickle', result_serializer='pickle',
include=['celery_back.tasks'])
app.conf.task_serializer = 'pickle'
app.conf.result_serializer = 'pickle'
if __name__=='__main__':
app... |
import numpy as np
from time import clock
from sklearn import svm
from dataloader import get_dataset
from argparse import ArgumentParser
from multi_kernels import MultiKernelheuristic as mkh
from multi_kernels import MultiKernelfixedrules as mkfr
from sklearn.model_selection import StratifiedKFold
parser = ArgumentPar... |
import re
from functools import partial
from common import file_to_lines
class ValidatorsFactory:
def create_min_max_validator(self, min, max):
return partial(self._check_minmax, min, max)
def create_min_max_map_validator(self, map):
return partial(self._check_minmax_map, map)
def creat... |
def ascci3(n):
i=0
for k in range(n):
print "%"*n
i+=1
#output:
>>> ascci3(6)
%%%%%%
%%%%%%
%%%%%%
%%%%%%
%%%%%%
%%%%%%
>>>
def createdonerow(width, height):
A=''
row=''
for row in range(height):
row=''
for col in range(width):
row+='*'
A+='*'
... |
from modules.color import Color
from modules.vector import Vector
from modules.image import read_ppm
class Texture:
def __init__(self, texture_file, u_vector=Vector(0,0.1,0), v_vector=Vector(0,0,0)):
self.map = read_ppm(texture_file)
self.width = self.map.width
self.height = self.... |
import socket
import threading
import urlparse
import select
BUF_LEN = 8192
BUFLEN=8192
class MyProxy1(threading.Thread):
def __init__(self,conn,addr):
threading.Thread.__init__(self)
self.source = conn
self.request = ""
self.headers = {}
self.destnation = socket.socket(so... |
import numba
from numpy import *
from plucked_map import *
@numba.jit(nopython=True)
def accumulate(nbins, n, m, s):
density = zeros(nbins)
dx = 2.0/nbins
x = 2*rand()
for i in range(n):
x = osc_tent(x, s, m)
bno = int(x//dx)
density[bno] += 1/n/dx
return density
@numba.jit(... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def product_of_array_except_self(nums):
length = len(nums)
l = [1] * length
r = [1] * length
res = [1] * length
for i in range(1, length):
l[i] = l[i-1] * nums[i-1]
for i in reversed(range(length-1)):
r[i] = r[i+1] * nums[i+1]
... |
import Data_Utils1
from sklearn.model_selection import StratifiedKFold
from sklearn.preprocessing import StandardScaler, normalize
from sklearn import svm
from sklearn.neural_network import MLPClassifier
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.model_selection import StratifiedKFold
fro... |
# Definition for an interval.
# class Interval:
# def __init__(self, s=0, e=0):
# self.start = s
# self.end = e
class Solution:
def findRightInterval(self, intervals):
lookup = []
for idx, val in enumerate(intervals):
lookup.append((val.start, idx))
lookup.so... |
# encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'AuthKey'
db.create_table('urlauth_authkey', (
('id', self.gf('django.db.models... |
#!/usr/bin/env python
import ADC0832
import time
import math
def init():
ADC0832.setup()
def loop():
while True:
analogVal = ADC0832.getResult()
Vr = 5 * float(analogVal) / 255
Rt = 10000 * Vr / (5 - Vr)
temp = 1/(((math.log(Rt / 10000)) / 3950) + (1 / (273.15+25)))
temp = temp - 273.15
print 'temperatu... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
HOST = "192.168.10.120"
PORT = 4223
GPSUID = "cPA"
SERVOUID = "9oVKfGxvXL7"
motor = 5
steeringsrv = 1
stop = 400
mid = 0
speed = 3000
earthRadius = 6371140 #in meters
point1 = 48.799332, 9.051900
|
import sys
import collections
x = [1, 0, -1, 0]
y = [0, 1, 0, -1]
while True:
W, H = map(int, sys.stdin.readline().split())
if W == 0:
break
tile = [[0 for i in xrange(W + 2)] for j in xrange(H + 2)]
visited = set()
next = set()
for i in xrange(H):
line = raw_inpu... |
import pytest
from .pages.basket_page import BasketPage
from .pages.login_page import LoginPage
from .pages.main_page import MainPage
from .pages.product_page import ProductPage
from .pages.search_page import SearchPage
link = "http://selenium1py.pythonanywhere.com/"
class TestSearchFromMainPage():
def test_gu... |
from selenium import webdriver
import requests
url = 'http://www.shanyaoo.com/_account/login.shtml'
driver = webdriver.Chrome()
#登录时没有验证码的情况下可以不打开浏览器，selenium
# option_chrome = webdriver.ChromeOptions()
# option_chrome.add_argument('--headless')
# driver = webdriver.Chrome(chrome_options=option_chrome)
driver.get(url... |
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 4 01:13:25 2020
@author: ASUS
"""
import shapefile # mengimport library shapefile
w=shapefile.Writer("soal8", shapeType=shapefile.POLYGON) # inisialiasi untuk Membuat file shapefile baru menggunakan Writer dan membuat oject baru
w.shapeType # menentukan shapeType nya
w... |
##############################################################################
#
# Copyright (c) 2002, 2018 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... |
#
# Copyright (c) 2020 Cord Technologies Limited
#
# 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 ag... |
from stellar_sdk import operation
def add_payment_op(source_account, destination_account, asset, amount):
op = operation.payment(destination_account, asset, amount, source_account)
return op
|
import itertools as it
import numpy as np
from sklearn.linear_model import LogisticRegressionCV
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import FunctionTransformer
def make_clf(*args, **kwargs):
clf = make_pipeline(FunctionTransformer(crossterm),
LogisticRegre... |
"""Handles reading the dictionary of ItemTypes from the XML file.
This is largely copied from the original author's repository, just a bit
stripped down. In particular, this stripped down version requires the XML file
to be topologically sorted.
https://github.com/Omnifarious/factorio_calc/blob/master/factorio_calc.p... |
"""
Generate regions
"""
import csv
import os
from .base import BaseGen
class Regions(BaseGen):
def __init__(self, config):
super().__init__(config)
def run(self):
"""Generate regions jsons"""
csv_path = os.path.join(self.config.csv.base, self.config.csv.path.regions)
region... |
# Filename: ps2_controller.py
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAM... |
# regular printing
print("Hello, world")
# printing with a different line-end character
print("Hello, ", end='')
print("world")
|
#1 import
try:
import configparser
except:
from six.moves import configparser
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import requests
#2 variable related to weather API
weather_dict = {'freezing_rain_heavy': 'Heavy rain and snow', 'freezing_rain': 'Ra... |
spożywka = ["chleb", "mleko", "ser", "szynka", "masło"]
print(spożywka)
print(spożywka[0])
print(spożywka[4])
print(spożywka[-1])
print(spożywka[::4])
print(spożywka[0])
print(spożywka[4])
print(spożywka[0] + " " + spożywka[4])
print(spożywka[0], spożywka[4]) |
#coding=utf-8
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
# br=webdriver.Chrome()
# br.get("https://www.baidu.com")
# br.maximize_window()
# element=br.find_element_by_link_text("新闻")
#单击元素
# ActionChains(br).click(element).perform()
#元素上按下左键不放
# element=b... |
from threading import Thread
import serial, time
class Drill(Thread):
def __init__(self, port, get_next_block, block_done, emit_state):
Thread.__init__(self)
self.port = port
self.current_block = None
self.get_next_block = get_next_block
self.block_done = block_done
... |
#%%
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates
from numpy.polynomial import Polynomial as P
from numpy.polynomial import Chebyshev as T
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
import seaborn as sns
from sk... |
cart={
'天谕':{'近战':["光刃","圣堂","业刹"],
'远程':["炎天","玉虚","灵珑","流光"]},
'阴阳师':{'SSR':["一目连","荒","茨木童子"],
'SR':["姑获鸟","妖狐","夜叉"],
'R':["椒图","山兔","雨女"]},
'王者荣耀':{'法师':["诸葛亮","貂蝉","妲己"],
'刺客':["兰陵王","荆轲","李白"],
'射手':["李元芳","马可波罗","百里守约"]}
}
count... |
print "hi"
print "helo"
<<<<<<< HEAD
#this is a brach
# master commit
# test changes
#git hub edit
|
from selenium import webdriver
class Driver_Factory():
def __init__(self, browser='ff', browser_version=None, os_name=None):
self.browser = browser
def get_web_driver(self, browser):
web_driver = self.run_local(browser)
return web_driver
def run_local(self, browser):
loc... |
#!/usr/bin/env python
import json
infname = 'toolshed_data.json'
data = json.load(open(infname, 'r'))
cats = json.load(open('categories.json', 'r'))
catdict = {}
for cat in cats:
catdict[cat['id']] = cat['name']
tools = {}
for entry in data:
if entry['type'] == 'unrestricted':
cats = entry['category_ids']
for c... |
# Problem: Given scores of N althletes
# Return their relative ranks and the people with the top 3 scores
class Solution(object):
def findRelativeRanks(self, nums):
"""
:type nums: List[int]
:rtype: List[str]
"""
ranks = {}
numsSorted = sorted(nums)
numsSorte... |
from heapq import heapify, heappop, heappush
N, *a = map(int, open(0).read().split())
q = a[:N]
heapify(q)
b = [0] * (N + 1)
b[0] = sum(q)
for i in range(N):
x = q[0]
y = max(heappop(q), a[N + i])
heappush(q, y)
b[i + 1] = b[i] - x + y
q = [-x for x in a[2 * N:]]
heapify(q)
c = [0] * (N + 1)
c[N] = -... |
import requests
import time
import json
from datetime import date, datetime
import re
accessToken = ''
api_url = 'https://api.vk.com/method/'
NUM_OF_USERS = 50
app_params = {
'access_token' : accessToken,
'v' : '5.131'
}
def process_raw_str(string):
return re.sub(r'[\W]', ' ', string).lower()
'''
Сначала... |
name = input('What is your name? ')
print('Hi ' + name)
main_name = input('What is your name? ')
print('Hi ' + main_name)
color = input('What is your favourite colour? ')
print('Hi ' + main_name + ' you like colour ' + color) |
nums=[12,13,14,15,10,18]
for num in nums:
if num %5==0:
print(num)
break
else:
print("not found") |
#! /use/bin/python
class Solution:
def binarySearch(self, A,target):
start, end = 0, len(A)
while start+1 < end:
mid = (start+end)/2
if A[mid] > target:
end = mid
elif A[mid] == target:
start = mid
else:
... |
import pickle
import time
import numpy as np
import tensorflow as tf
from collections import Counter
from sklearn.utils import shuffle
from imblearn.under_sampling import RandomUnderSampler
from tensorflow.contrib.layers import flatten
with open('data_us.pickle', mode = 'rb') as f:
dataset = pickle.load(f)
x_t... |
# -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'ui_main.ui'
##
## Created by: Qt User Interface Compiler version 6.1.0
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
###################... |
# -*- coding: utf-8 -*-
'''
:Author: stransky
'''
import morphjongleur.util.auto_string
import numpy
class Compartment(object):
'''
classdocs
@see http://web.mit.edu/neuron_v7.1/doc/help/neuron/neuron/classes/python.html#Section
'''
def __init__(self, compartment_id, compartment_parent_id, radius=1... |
import re
from lxml import etree
import time
class Post(object):
def __init__(self,uid,s):
self.s=s
self.uid=uid
# 选取某个小组进行发帖
def posting(self,group,uid,s):
pass
# 获取已经发的帖子
def readyPosts(self,uid,s):
pass
# 顶贴
def topPost(self):
pass |
#!/usr/bin/python
"""
Starter code for exploring the Enron dataset (emails + finances);
loads up the dataset (pickled dict of dicts).
The dataset has the form:
enron_data["LASTNAME FIRSTNAME MIDDLEINITIAL"] = { features_dict }
{features_dict} is a dictionary of features associated with that pers... |
import math
import hashlib
# Function to left
# rotate n by d bits
def leftRotate(n, d):
INT_BITS = 8
return (n << d) & 0xFF | (n >> (INT_BITS - d))
# Function to right
# rotate n by d bits
def rightRotate(n, d):
INT_BITS = 8
return (n >> d) | (n << (INT_BITS - d)) & 0xFF
def ByteIn... |
# Algorithm for non-continuous blobbing
from lucidreader import LucidFile
import numpy as np
import math
class BlobFinder:
def square(self, x, y, size):
half_size = (size - 1) / 2
x, y = x - half_size, y - half_size
# Return a sizexsize square of pixels around the coordinates
pixels = []
for i in range(s... |
import numpy as np
import matplotlib.pyplot as plt
def get_solidblockage(aircraft,tunnel,bool):
t1w = 0.87
k1w = 1.02
esb_w = (k1w * t1w * aircraft.wing.V) / ((tunnel.C) ** (3 / 2.))
t1f = 0.86
k3f = 0.915
esb_f = (k3f * t1f * aircraft.fuselage.V) / ((tunnel.C) ** (3 / 2.))
t1ss = 0.86
... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
#from matplotlib import pyplot as plt
from tkinter import filedialog
from tkinter import *
root = Tk()
root.withdraw()
root.filename = filedialog.askopenfilename(initialdir = "/",title = "Select file",filetypes = (("all files",".*"),("jpg files"... |
from typing import Tuple
from torch import cuda
import torch.nn as nn
import torch as th
class ResNet(nn.Module):
def __init__(self, module):
super().__init__()
self.module = module
def forward(self, inputs):
return self.module(inputs) + inputs
class ActorCriticNetwork(nn.Module):
... |
import random
import time
from webapi.awebapi import AHTTP
# HTTP is synchronous, AHTTP is asynchronous. The former is used for functional testing, the latter for load testing.
from webapi.webapi import HTTP
class User:
'''Represents a user of the app.
Creating an object of this class with no parametres c... |
import subprocess as sp
import os
import glob
if __name__ == '__main__':
Model_dir = '/home/zzhzhao/Model'
test_dir = os.path.join(Model_dir, 'tests')
source_name = 'original-WRF3.9.1'
target_name = 'original-WRF3.9.1-YW_Lake-comp4'
WRF_version = 'WRFV3'
Modified_wrf_files_path = '/home/zzhzh... |
import timeit
from lib2to3.fixer_util import Number
def principal_period(s): #numerical repetition finder
i = (s+s).find(s, 1, -1)
return None if i == -1 else s[:i]
def primeList(n): #primesieve: returns list of primes
nroot = int(n**0.5)+1
print(nroot)
sieve = list(range(n+1))
sieve... |
"""Utilities for Grappler autoparallel optimizer."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.core.framework import variable_pb2
from tensorflow.core.protobuf import rewriter_config_pb2
FLAGS = tf.flags.FLAGS
def... |
"""Veles NN workflow benchmark.
"""
from __future__ import division
import gc
import logging
import numpy
import time
from veles import prng
from veles.backends import CUDADevice, OpenCLDevice
from veles.config import root
from veles.dummy import DummyLauncher
from veles.loader import FullBatchLoader, IFullBatchLoader
... |
m = float(input('Insira a distancia em metros: '))
print('A medida de {}m equivale a:'.format(m))
print('{}Km'.format(m/1000))
print('{}Hm'.format(m/100))
print('{}dam'.format(m/10))
print('{}dm'.format(m*10))
print('{}cm'.format(m*100))
print('{}mm'.format(m*1000)) |
#! /usr/bin/python
import cgi, os
import cgitb; cgitb.enable()
import csv
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def read_template(filename):
with open(filename) as template:
return template.read()
def blast(from_email,to_email,subject):
msg = MIMEMulti... |
from classmerge import mergesort
from main import sort_given_list
from classsum import sumAll
print(__init__)
|
# Generated by Django 3.1.5 on 2021-01-09 18:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('benefits', '0002_benefit_img_file'),
]
operations = [
migrations.AddField(
model_name='benefit',
name='is_verified',... |
from django.conf.urls import url
from accounts.views import login_view, register_view, logout_view
app_name = 'accounts'
urlpatterns = [
# login page
url(r'^login/', login_view, name="login"),
# logout page
url(r'^logout/', logout_view, name="logout"),
# register page
url(r'^register/', regist... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2016 DataONE
#
# Licensed under the Apache... |
#1235. Maximum Profit in Job Scheduling
#We have n jobs, where every job is scheduled to be done from startTime[i] to endTime[i], obtaining a profit of profit[i].
#You're given the startTime, endTime and profit arrays, return the maximum profit you can take such that there are no two jobs in the subset with overlappin... |
from inmmry import Inmmry
while True:
print("*"*75)
print("1.add 2.view 3.update 4.delete 5.search 6.exit")
print("*"*75)
ch = int(input("enter choice"))
if ch == 1:
Inmmry.addContact()
elif ch == 2:
Inmmry.viewContact()
elif ch == 3:
Inmmry.updateContact()
eli... |
import os
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
sns.set()
path = os.path.dirname(__file__)
data_path = os.path.join(path, "..", "..", "data", "master_cr_file.txt")
df = pd.read_csv(data_path, sep='\t', low_memory=False)
df['period'] = pd.to_datetime(df['period'])
number_banks ... |
import asyncio
import json
from django.contrib.auth import get_user_model
from channels.consumer import SyncConsumer, AsyncConsumer
from channels.db import database_sync_to_async
from .models import Thread, ChatMessage
User = get_user_model()
class TaskConsumer(AsyncConsumer):
async def welcome_mess... |
#numbers2text
def main():
message = input("Please enter the coded message: ")
output = ""
for nr in message.split():
char = chr(int(nr))
output += char
print(output)
main()
# 66 117 101 110 111 115 32 100 237 97 115 33
|
from shutil import copyfile
from scipy.interpolate import CubicSpline
import datetime
import os
import sys
import matplotlib.pyplot as plt
import numpy.random as rnd
import time
from slant import slant
from data_preprocess import *
from myutil import *
def print_image_in_latex_v4( file_to_write, Image_file_prefix, I... |
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