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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/3/6 21:37
# @Author : cunyu
# @Site : cunyu1943.github.io
# @File : seventeen.py
# @Software: PyCharm
import string
s = input('请输入字符串:\n')
num_letter = 0
num_space = 0
num_digit = 0
num_other = 0
for i in range(len(s)):
if s[i].... |
"""Unit test for DPTControlStepCode objects."""
import pytest
from xknx.dpt import (
DPTControlStartStop,
DPTControlStartStopBlinds,
DPTControlStartStopDimming,
DPTControlStepCode,
DPTControlStepwise,
)
from xknx.exceptions import ConversionError
class TestDPTControlStepCode:
"""Test class for... |
#1<N<10**7 arasındaki sayıların bölenlerinin sayısını bir listeye yazan algoritma
bolenler = [1, 1] #1 ve kendisini tuttuk
for p in range(2,10**7):
bs = 2
for n in range(2, p//2+1):
if(p//n*n==p):
bs += 1
bolenler.append(bs)
print(p)
print(bolenler)
|
# Main starter app
from test_cases import login_page_test as lpt
from pages import profile_page_object as ppo
class Main:
def startTestsWithCases(self):
loginPageTest = lpt.LoginPageTestCase()
print "Starting 1st test case . . ."
print loginPageTest.testCase1()
print "\n"
... |
import json
from urllib import request
from urllib.error import HTTPError
from random import *
import pickle
import asyncio
import Types_for_metis
import Dara
def Test_token(secretToken):
return len(secretToken) == 59
def read_last():
file = open("last_new.txt",'r')
content = file.read()
file.close()
content =... |
'''
Contains the L{Generator} class for building collections of fuzzed values
@author: Rob Waaser
@contact: robwaaser@gmail.com
@organization: Carnegie Mellon University
@since: October 30, 2011
'''
import random
import struct
import logging
class Generator(object):
'''
Used to generate lists ... |
import pickle
from typing import Any, Optional
from .errors import MissingFieldError, DuplicateError
from .tools import NA_VALUES, isnull
class FuzzyField:
"""Abstract base class.
:param bool required:
If False, return default if value is "" or "N/A".
If True, ensure that this field has a val... |
"""
"""
import phantom.rules as phantom
import json
from datetime import datetime, timedelta
##############################
# Start - Global Code Block
def comment_and_debug(msg):
phantom.comment(comment=msg);
phantom.debug(msg);
def nested_dict_check(dictionary, *keys):
from functools import r... |
"""empty message
Revision ID: d24761a4ddc4
Revises: 55c8b26bbd43
Create Date: 2020-05-31 11:42:28.211676
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd24761a4ddc4'
down_revision = '55c8b26bbd43'
branch_labels = None
depends_on = None
def upgrade():
# ... |
#!/usr/bin/env python3
import re
import sys
import subprocess
class bsc:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
END = '\033[0m'
if __name__ == "__main__":
if not re.match(r'^[a-zA... |
# calculating the degree of a number
a = float(input())
a > 0
n = int(input())
n >= 0
def power(a, n):
if n == 0:
return 1
return a * power(a, n - 1)
print(power(a, n))
|
from __future__ import division
import pandas
from numpy import ndarray
import os
from ITSframework import ITS
from ipdb import set_trace as debug # NOQA
# We store files relative to this directory
package_directory = os.path.dirname(os.path.abspath(__file__))
def StringOrFloat(incoming):
""" Return float if e... |
import random
import torch
from NeuralNet.NeuralNet import *
class BrainSnake:
def __init__(self, _id, gen=-1, width=500, height=500, pvp=False, network_layout=None):
self.MaxWidth = width
self.MaxHeight = height
self.head = [50, 50]
self.body = [[50, 50], [40, 50], [30, 50]]
... |
# Visualizing a Categorical and a Quantitative Variable
# Categorical variables are present in nearly every dataset, but they are especially prominent in survey data. In this chapter, you will learn how to create and customize categorical plots such as box plots, bar plots, count plots, and point plots. Along the way, ... |
import os, pyclbr
instrumentsRootDir='lab/instruments'
def findInstrumentModule(instrumentModuleName):
found = None
for (dirpath, dirnames, filenames) in os.walk(instrumentsRootDir):
print dirpath, dirnames, filenames
# builds a list of all python file names (except _init__.py)
pyFilenames = [filename for filen... |
#!starterbot/bin/python
from migrate.versioning import api
from sqlalchemy import create_engine
from sqlalchemy_utils import database_exists, create_database
import os
from config import SQLALCHEMY_DATABASE_URI
from config import SQLALCHEMY_MIGRATE_REPO
engine = create_engine(SQLALCHEMY_DATABASE_URI)
if not database_e... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from behavioral_patterns.chain_of_responsibility.lazy_supporter import LazySupporter
from behavioral_patterns.chain_of_responsibility.moody_supporter import MoodySupporter
from behavioral_patterns.chain_of_responsibility.special_supporter import SpecialSupporter
from behavi... |
# a simple parser for python. use get_number() and get_word() to read
def parser():
while 1:
data = list(input().split(' '))
for number in data:
if len(number) > 0:
yield(number)
input_parser = parser()
def get_word():
global input_parser
return next(input_pa... |
import nltk
# import spacy
import os
import json
from collections import Counter
corpus = {}
with open('corpus_data/preprocessedf_corpus.json') as infile:
corpus = json.loads(infile.read().encode('utf-8'))
featurecounts = {}
for artist,songlist in corpus.items():
features = {"pos_counts":Counter()}
numwor... |
import json
import requests
import pytz
from decimal import Decimal
from datetime import datetime, timedelta, date
from django.utils import timezone
from django.core import serializers
from django.http import JsonResponse
from django.shortcuts import render, HttpResponse, render_to_response, get_object_or_404, redire... |
import math, csv, json
from collections import defaultdict
from nltk import FreqDist,word_tokenize
from nltk.corpus import reuters, stopwords
# from nltk.stem.snowball import SnowballStemmer
import nltk
nltk.download('punkt')
nltk.download('reuters')
nltk.download('stopwords')
from gensim.models import KeyedVectors
... |
#coding:utf-8
import time
import requests
title = "这是标题_%s" % str(int(time.time()))
content = "正文内容_%s" % str(int(time.time()))
url = "https://i.cnblogs.com/EditPosts.aspx?opt=1"
s = requests.session()
print("更新之前的cookies:%s" % s.cookies)
c = requests.cookies.RequestsCookieJar()
c.set(".CNBlogsCookie", "5F1D0B9... |
def every_other(array):
for i in range(len(array)):
if i % 2 == 0:
for j in array:
print(array[i] + j)
every_other([1,2,3,4])
|
'''
utils.py
========
General-purpose utilities that are not categorized by any other module.
'''
import struct
from io import BytesIO
def pack_as_string(string):
'Returns the bytes object after packing the string'
if not string:
return struct.pack('>h', -1)
string_len = len(string)
return s... |
import json
from tanserver import *
# API: register
def register(json_obj):
user = json_obj.get('username')
pwd = json_obj.get('password')
if user == None or pwd == None:
# Send {"status":-1,"message":"missing username or password","result":{}}
return json_append_status('{}', -1, 'missin... |
import os
import sys
import socket, select
import time
import json
import struct
import re
import base64
from hashlib import sha1, md5
from util import *
IOTYPE = ['select', 'pool', 'async']
class MS(WSSocket):
def __init__(self, addr, port, ioType = 'select'):
#本地初始化
if ioType not in IOTYPE:
... |
import time;
localtime = time.localtime(time.time())
print( "Local current time :", localtime)
import time;
localtime = time.asctime( time.localtime(time.time()) )
print( "Local current time :", localtime)
import calendar
cal = calendar.month(2019, 9)
print(cal)
from datetime import date
... |
#coding:utf-8
'''
cookie操作
'''
import tornado.web
import tornado.ioloop
class CookieHandle(tornado.web.RequestHandler):
def get(self):
if self.get_cookie('a'):
self.write('your cookies is set')
else:
self.write('error cookie not')
self.set_secu... |
#!/usr/bin/env python
# -*-coding:utf-8 -*-
# author:罗徐 time:2019/8/2
# 视频人脸识别
import cv2 as cv
import numpy as np
def face_dectect_demo(image):
gray=cv.cvtColor(image,cv.COLOR_BGR2GRAY)
face_dectector=cv.CascadeClassifier("D:/opencv-4.0.1-vc14_vc15/opencv/build/etc/haarcascades/haarcascade_frontalfac... |
# Creating a list using a for loop
list1 = []
n = int(input("Enter the list size : "))
for i in range(0, n):
print("Enter item at location", i, ":")
item = input()
list1.append(item)
print("User List is ", list1)
# for numbers
numberList = []
n = int(input("Enter the list size : "))
for i in ... |
import hashlib
print(hashlib.sha384(raw_input()).hexdigest()) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from src.librecatastro.domain.reform import Reform
class Construction:
""" Class that stores constructions / reforms of a property"""
def __init__(self, construction):
self.use = construction[u'uso']
self.doorway = construction[u'escalera']
... |
## 1.) Go to the end line and add the new line:
if app.ENABLE_DROP_RENEWAL:
class DropRenewalDialog(ui.ScriptWindow):
def __init__(self):
ui.ScriptWindow.__init__(self)
self.__CreateDialog()
def __del__(self):
ui.ScriptWindow.__del__(self)
def __CreateDialog(self):
pyScrLoader = ui.Pytho... |
import numpy as np
def calc_out_shape(input_matrix_shape, out_channels, kernel_size, stride, padding):
hout = int((input_matrix_shape[2] + 2 * padding - 1 * (kernel_size - 1) - 1) / stride + 1)
wout = int((input_matrix_shape[3] + 2 * padding - 1 * (kernel_size - 1) - 1) / stride + 1)
return [input_matrix_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 11 18:10:16 2020
@author: kodiuser
"""
import PySimpleGUI as sg
sg.theme('DarkAmber') # Add a touch of color
# All the stuff inside your window.
layout = [ [sg.Text('Attacker Dice')],
[sg.Checkbox('One Die', enable_events=True),sg.Che... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
# Read image
img = cv2.imread("imori.jpg").astype(np.float32) / 255.
# RGB > HSV
max_v = np.max(img, axis=2).copy()
min_v = np.min(img, axis=2).copy()
min_arg = np.argmin(img, axis=2)
H = np.zeros_like(max_v)
H[np.where(max_v == min_v)] = 0
## if min ==... |
# -*- coding: utf-8 -*-
# Author:benjamin
# Date:
#使用celery实现异步执行任务
#我们将耗时任务放到后台异步执行。
#不会影响用户其他操作。除了注册功能，例如上传，图形处理等等耗时的任务
from celery import Celery
from django.conf import settings
from django.core.mail import send_mail#发送邮件配置
from apps.goods.models import *
from django.shortcuts import render,HttpResponse
from django.... |
def format_currency(value, places=2, show_zero=True):
"""
Formats value currency format like: $1,500.25
:param places:
number of decimal places to show.
:param show_zero:
When true, zero should be formatted.
When false, zero should be empty string.
"""
if value in (0, No... |
import random
import os
import pandas
import numpy
data_latih = pandas.read_csv('D:\Dokumen dan Tugas Kuliah\Tugas Kuliah\Kecerdasan Buatan\Tugas2\data_latih.csv')
data_test = pandas.read_csv('D:\Dokumen dan Tugas Kuliah\Tugas Kuliah\Kecerdasan Buatan\Tugas2\data_test.txt')
gen_size = 15
list_dat... |
from django.db import models
class Info(models.Model):
user_email = models.EmailField(max_length=20)
user_name = models.CharField(max_length=20)
user_phone = models.CharField(max_length=20) |
import re
import Paragraph
import word
import essay
class Sentence:
#This is a class that contains a single sentence
words = []
endPunctuation = ""
fanboys = []
markers = []
commas = []
add_commas = []
def __init__(self, plain_text_sentence, punctuation_mark):
self.words = re.split(r"\s", plain_text_sent... |
# Atividade Contínua 01
# Aluno 01: Anna Beatriz Moraes Santos
# Aluno 02: Everton de Souza Siqueira
def incluir_pessoa(agenda, nome, telefone):
if nome not in agenda:
agenda[nome] = telefone
return agenda
def excluir_pessoa(agenda, nome):
if nome in agenda:
agenda.pop(nome)
return a... |
import numpy as np
import cv2
from matplotlib import pyplot as plt
img=cv2.imread('rajat.jpg',0)
plt.imshow(img,cmap='gray',interpolation='bicubic')
plt.xticks([]), plt.yticks([]) #to hide tick values on X and Y axis
plt.show()
#color image loaded by opencv is in BGR mode. but matplotlib displays in RGB mode. So colo... |
from parsing import cool_ast
from lark import Token
class Scope:
def __init__(self, parent=None, inside=None):
self.inside = inside
self.locals = {}
self.methods = []
self.parent = parent
self.children = []
self.self_type = []
self.types = []
if not ... |
import time
import io
import picamera
import picamera.array
import numpy as np
import cv2
import socket
import sys
width=640
height=480
w_led=32
h_led=32
sock=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
server_address=('localhost',5080)
sock.connect(server_address)
#Initialise camera
with picamera.PiCamera() a... |
from pwn import *
def new_fmtstr_payload(offset, writes, numbwritten=0, write_size='byte', bits=context.bits):
from math import pow
def get_payload(offset, chunk_list, numbwritten, write_size):
format_n = {
4: 'n',
2: 'hn',
1: 'hhn'
}[write_size]
wr... |
from apispec import APISpec
from apispec.ext.marshmallow import MarshmallowPlugin
from apispec_webframeworks.flask import FlaskPlugin
spec = APISpec(
title="Shared DB Channel API",
version="1.0.0",
openapi_version="3.0.2",
plugins=[
FlaskPlugin(),
MarshmallowPlugin()
],
)
|
#!/usr/bin/env python
'''
Computer the factorial of a number
'''
def factorial(x):
total = 1
if int(x) == 0:
total = 1
else:
while x > 0:
total = total * x
x -= 1
return total
print('9 factorial: ' + str(factorial(9)))
print('5 factorial: ' + str(factorial(5))... |
from flask import Flask
from flask import render_template, request
from SearchTweets import buildquerydataforsearch
from UserTimeline import buildquerydataforusertimeline
from Friendships_create import buildquerydataforfriendshipscreate
from Friendships_update import buildquerydataforfriendshipsupdate
from Tweet import... |
f = open("test.txt", "w")
for i in range(0, 1546, 2):
f.write("data/ts/" + str(i) + ".jpg\n")
f.close()
f = open("train.txt", "w")
for i in range(1, 1546, 2):
f.write("data/ts/" + str(i) + ".jpg\n")
f.close()
|
import matplotlib.pyplot as plt
import sys
import string
import numpy
from matplotlib.backends.backend_pdf import PdfPages
from itertools import chain
SEQ = "_MQKLVFFAEDVGSNKGAIIGLMVGGVVIATVIVITLVMLKKK"
NSEQ = [e[1]+str(e[0]) for e in enumerate(SEQ, 1)]
PERPAGE = 5
NCcorr = [1, 1 ]
def kk(ss):
s = ss[0]
ai... |
# TweetBox by Gary Grossi
# Created 06/04/2014
# Updated 06/09/2014
# Version 0.4
# library imports
import time
import twitter
# Twitter authentication and setup
keys = twitter.Api(consumer_key="Enter consumer key here",
consumer_secret="Enter consumer secret here",
access_token_... |
#!/home/cchandlc/virtualenv/python34/3.4/bin/python3
import lxml.html
from urllib.request import urlopen
import mysql.connector
def connect():
return mysql.connector.connect(user='cchandlc_seniorP', password='supersecretPASSWORD', host='localhost', database='cchandlc_Senior_Project_CARD$')
def getURL(site, cardID):... |
"""
Example Client to be implemented by android and the pi
"""
import socket
from PiCom.Data import Payload, send_payload, receive_payload
class LANClientHandler:
def received(self, req_payload: Payload, res_payload: Payload):
pass
class Client:
def __init__(self, host: str, port: int, handler: LA... |
# coding: utf-8
from django.conf.urls import url
from rest_framework.urlpatterns import format_suffix_patterns
# importação das classes do arquivo views.py
from portfolios.views import FuncionarioListAndPost, FuncionarioById, CargoListAndPost, CargoById, \
MarcaListAndPost, MarcaById, ProdutoListAndPost, ProdutoBy... |
#!/usr/bin/env python
# encoding: utf-8
from abc import ABCMeta, abstractmethod
import datetime
import random
import time
import unittest
class Singleton(type):
def __init__(self, name, bases, namespace):
self._obj = type(name, bases, namespace)()
def __call__(self):
return self._obj
class PRNG:
... |
# Generated by Django 3.0.7 on 2020-09-07 23:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('containers', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Item',
fields=[
('id', ... |
import threading
import liblo as lo
import numpy as np
from bluepy.btle import Scanner, Peripheral, DefaultDelegate
import sys
import time
import bitstring
from time import time, sleep
from datetime import datetime
class Muse():
def __init__(self, callback=None, address=None, museName=None, port=None): #specify callb... |
#CSCI 1133 Homework 6
#Sid Lin
#Problem 6 Bonus
import turtle
class Insect:
def __init__(self, radius = 50, bodyColor = "black", legColor = "black"):
self.size = radius
self.body = bodyColor
self.leg = legColor
self.tur = turtle.Turtle()
self.tur.speed(0)
#default c... |
import sys
import json
if len(sys.argv)!=6:
print "script.py <sample> <base_dir> <chrom> <start> <end>"
quit()
script,sample,base_dir,chrom,start,end = sys.argv
start = int(start)
end = int(end)
indel_file = base_dir+"/"+sample+".indels"
indels = json.load(open(indel_file))
for indel in indels:
if indel["chr"]... |
from nltk.lm import Vocabulary
import os
import pickle
NONSPAM_DIR = "data/nonspam-train"
SPAM_DIR = "data/spam-train"
#Precondition: numDocs must be less than or equal to the number of training docs in the train folders
def buildVocab(trainFolders, numDocs):
print('Number of training documents:', str(numDocs))
... |
# ==================================================================================================
# Copyright 2013 Twitter, Inc.
# --------------------------------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... |
import matplotlib.pyplot as plt
import numpy as np
import os
PI=3.14159265358979323
x2=[]
y2=[]
x3=[]
y3=[]
x2 , y2 = np.loadtxt('corrections.txt', delimiter=' ', unpack=True)
x3 , y3 = np.loadtxt('no_corrections.txt', delimiter=' ', unpack=True)
T_c = np.loadtxt('temp_c.txt');
T_nc =np.loadtxt('temp_nc.txt');
fig... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 29 11:10:41 2019
@author: ros
"""
import cv2
class Display:
def __init__(self, name):
""" Creates a window with name = 'name' """
self.name = name
cv2.namedWindow(self.name, cv2.WINDOW_NORMAL)
def update(self, ima... |
#
# Gramps - a GTK+/GNOME based genealogy program
#
# Copyright (C) 2021 Gramps developers, Kari Kujansuu
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# ... |
../../../python/geometry/splines/cubic_hermite_spline.py |
# Generated by Django 2.0.2 on 2018-03-10 17:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('galerie_photo', '0009_auto_20180306_1611'),
('visite_virtuelle', '0004_auto_20180306_1624'),
('gestion_table', '0007_remove_table_galerie'),
... |
"""
Given two strings s1 and s2 of the same length, determine if s2 is a scrambled string of s1.
first thought:
can it be thought as a permutation of s1? No!
second thought:
can we use a tree to represent it? or more general way to do that
simulation?
special case:
if s1 == s2, true or false?
"""
class Solution:
... |
# ==================================================================================================
# Copyright 2012 Twitter, Inc.
# --------------------------------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... |
import sys, re
CommTypeA = 'A'
CommTypeC = 'C'
CommTypeL = 'L'
class SymbolTable:
preSymbols = {'SP': 0, 'LCL': 1, 'ARG': 2, 'THIS': 3, 'THAT': 4, 'R0': 0,
'R1': 1, 'R2': 2, 'R3': 3, 'R4': 4, 'R5': 5, 'R6': 6, 'R7': 7,
'R8': 8, 'R9': 9,' R10': 10, 'R11': 11, 'R12': 12, 'R13': 1... |
import yfinance as yf
import streamlit as st
import pandas as pd
import numpy as np
import time
def local_css(file_name):
with open(file_name) as f:
st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
local_css("style.css")
from PIL import Image
image = Image.open('codepth2.jpg... |
class Solution:
def nextPermutation(self, nums):
last = nums[len(nums)-1]
first = len(nums)
for i in range(len(nums)-1,-1,-1):
if nums[i]>=last:
last = nums[i]
continue
else:
first = i
break
if fi... |
#!/usr/bin/env python
from bhmm import BHMM
from utility import parse_args
if __name__ == "__main__":
args = parse_args()
bhmm = BHMM(args)
bhmm.run() |
#!/usr/bin/python3
"""class Square"""
class Square:
"""class square"""
def __init__(self, size=0, position=(0, 0)):
"""square initialization"""
self.size = size
self.position = position
@property
def size(self):
"""returns current size of the square"""
return (... |
import logging
from aiogram.dispatcher.filters import Command, Text
from aiogram.types import Message, CallbackQuery
from states.request_states import RequestGroup
from keyboards.inline.menu_keyboard import shell_keyboard, shell_callback
from middlewares import rate_limit
from loader import dp, bot
@dp... |
import spacy
from datetime import datetime
# Load English tokenizer, tagger, parser, NER and word vectors
nlp = spacy.load("en_core_web_sm")
def log(txt):
print(datetime.utcnow(), txt)
def create_doc(filename):
log("Started create doc")
# load text
file = open(filename, 'rt', encoding="UTF8") # rt =... |
import numpy as np
import time
import argparse
# initial = np.array([[1,2,3],[4,0,5],[7,8,6]], dtype=np.int8)
initial = np.array([[1,0,3],[4,2,5],[7,8,6]], dtype=np.int8) ##3
# initial = np.array([[4,5,0],[2,3,8],[1,7,6]], dtype=np.int8) ###16
final = np.array([[1,2,3],[4,5,6],[7,8,0]], dtype=np.int8)
class PuzzleSol... |
#!/usr/bin/env python
"""
VanillaCondorPlugin
BossAir plugin for vanilla condor
"""
import os.path
import logging
from WMCore.BossAir.Plugins.CondorPlugin import CondorPlugin
from WMCore.Credential.Proxy import Proxy
class VanillaCondorPlugin(CondorPlugin):
"""
_VanillaCondorPlugin_
Minor ... |
"""
Pushpull websocket server
"""
import logging
import asyncio
import random
import aiohttp
import aiohttp.web
from ..amqp.gateway.driver_aioamqp import Exchanger
from .. import config
from ..amqp import auth
from .auth import decode_auth_querystring_param
logger = logging.getLogger(__name__)
async def websocket_... |
'''
* ler o exif dos arquivos de uma pasta
* filtrar por data
* criar uma pasta de acordo com a data dos exif
* mover arquivos para as pastas de acordo com as datas
'''
import os
def nomeArquivos ():
nome = os.listdir()
for f in nome:
print(f)
nomeArquivos()
|
from django.conf.urls import url, include
from . import views
urlpatterns = [
url(r"^$", views.index, name="index"),
url(r"add$", views.addbook, name="addbook"),
url(r"addbook$", views.addbookreview, name="addbookreview"),
url(r"^(?P<id>\d+)", views.viewbook, name="viewbook"),
url(r"users/(?P<id>\d+)", v... |
# -*- coding:utf-8 -*-
import urllib2
import urllib
from pyquery import PyQuery
from BeautifulSoup import BeautifulSoup
import re
import os
from os import listdir
from os.path import isfile, join
from InstagramAPI import InstagramAPI
from resizeimage import resizeimage
import PIL
PhotoPath = "/home/user/image" # Chan... |
#!/usr/bin/env python
import velocity
import atexit
import datetime
import math
DB_NAME = r'vscDatabase'
DB_USER = 'script'
DB_PASS = 'script'
# if workstation
DB_PATH = r'/Velocity/Databases/vscDatabase'
# if grid
DB_IP = '127.0.0.1'
DB_PORT = 57000
# requires "OPT 3, CBCT adaptive" data
IMPORT_DIR = "C:\demodata\O... |
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def removeDuplicateNodes(self, head: ListNode) -> ListNode:
has_set = set()
orghead = head
father = None
while (head):
if head.val in has_set:
head... |
# -*- coding: utf-8 -*-
# Nox Obscura Guildpage
# ---------------------
from Servlet.Database import AbstractData
class DataUser(AbstractData):
"""
Creates, maintaines and retrives the User-specific Datastructures.
"""
def __init__(self):
# Inheritance Stuff
AbstractData.__init__(self... |
metadatapath = "./LIDC/LIDC-IDRI_MetaData.csv"
list32path = "./LIDC/list3.2.csv"
DOIfolderpath = './LIDC/LIDC-IDRI/'
datafolder = './processeddata'
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import pydicom
import os
import scipy.ndimage
import matplotli... |
from typing import Any
import json, logging, csv, sys
import config as cn
import udf as udf
from models import models as db
import env_vars
import viewschema as vw
import sqlalchemy_utils
from sqlalchemy_utils import create_database
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, relation... |
def save_to_file(sess, resp):
filename = resp.request.path_url.split("/", 1)[1]
with open('/tmp/%s' % filename, 'wb') as fd:
for chunk in resp.iter_content(chunk_size=128):
fd.write(chunk) |
from blog.models import Blog
from rest_framework import serializers
from django.contrib.auth.hashers import make_password
class BlogSerializer(serializers.ModelSerializer):
class Meta:
model = Blog
exclude = []
|
import os
from pathlib import Path
import config as cfg
def base_dir() -> str:
return Path(os.path.abspath(os.path.dirname(__file__))).parent
def app_root_dir(pvd: str) -> str:
return os.path.join(base_dir(), cfg.DIR_APP_ROOT, pvd)
def doc_root_dir() -> str:
return os.path.join(base_dir(), cfg.DIR_DO... |
# Function to create Encoder model
def create_resnet_encoder():
inputs = Input(shape=(256, 256, 3))
t = BatchNormalization()(inputs)
t = Conv2D(kernel_size=3,
strides=1,
filters=64,
padding="same")(t)
t = relu_bn(t)
num_blocks_list ... |
# coding: utf-8
# 1st Case study:
#
# The case study is about identifying a bank which wishes to use dimensions of the bank note to identify if it is fake or not. Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for p... |
import csv
import datetime
from StudyBlock import StudyBlock
import time
def main():
studySub = input("Please enter the subject of study: ")
input("Please enter when you start: ")
startTime = datetime.datetime.now()
print(startTime)
input("Please enter when your are finished:")
finishTime = d... |
from mock_github_api.core import app
from mock_github_api.helpers import response_from_fixture
@app.route('/users')
def users():
return response_from_fixture('user', True, paginate=True)
@app.route('/users/<login>')
def get_user(login):
fixture = 'user'
if login == 'alejandrogomez':
fixture = 'u... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^addshow$', views.addshow),
url(r'^shows/(?P<id>\d+)$', views.showdetails),
url(r'^shows$', views.mainshowpage),
url(r'^shows/(?P<id>\d+)/destroy$', views.destroy),
url(r'^shows/(?P<id>\d+)/edit$... |
################################################################################
# Drive motors for rotor control
# 2018 M. Tossaint
################################################################################
from gpiozero import Motor
from time import sleep
# Motor A, az Side GPIO CONSTANTS
PWM_FORWARD_az_PIN =... |
total = 0
num = int(input('Digite um numero: '))
for c in range(1, num +1):
if num % c == 0:# vai ser testado se é divisivel de 1 até a num digitado.
total += 1 #soma a quantidade de vezes que foi dividido com resposta 0
if total == 2: # apenas quando dividido 2 vezes é considerado um numero primo
print... |
#!/usr/bin/env python
from os.path import join, realpath
from hummingbot.strategy.market_trading_pair_tuple import MarketTradingPairTuple
from decimal import Decimal
import logging; logging.basicConfig(level=logging.ERROR)
import pandas as pd
from typing import List
import unittest
from hummingsim.backtest.backtest_ma... |
class Solution:
def minimumTotal(self, triangle):
m = len(triangle)
if m == 0: return 0
for i in range(m - 2, -1, -1):
for j in range(len(triangle[i])):
triangle[i][j] += min(triangle[i+1][j], triangle[i+1][j+1])
return triangle[0][0] |
from django.contrib.auth.models import User
from rest_framework import permissions
from rest_framework import generics
from apiv1.models import Car
from apiv1.serializers import CarSerializer
from apiv1.permissions import IsOwnerOrReadOnly, IsOwner
class CarDetail(generics.RetrieveDestroyAPIView):
'''Only user a... |
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