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#!/bin/env python
# -*- coding: utf-8 -*-.
import os
import asyncio
import pyocr as pyocr
from config import FOLDER_PATH, TEXT
import docx
import pytesseract
from PIL import Image
async def list_sorted_pic_folder(FOLDER_PATH) -> list[str]:
list_sorted = []
for pic in os.listdir(FOLDER_PATH):
list_so... |
import requests
import json
import tkinter
from tkinter import Menu
import tkinter as tk
import tkinter.ttk as ttk
from matplotlib.backends.backend_tkagg import (
FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.figure import Figure
from tkinter.ttk import Combobox
import datetime
from matplotlib.ticker imp... |
# Generated by Django 2.1.7 on 2019-03-22 10:40
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0006_auto_20190322_0922'),
]
operations = [
migrations.AddField(
... |
# Import relevant modules
import pymc
import numpy
import pandas as pd
class LogDModel(object):
def __init__(self, df):
"""
Parameters
----------
df - pandas dataframe
Returns
-------
"""
assert type(df) == pd.DataFrame
self.logd = dict(... |
from sqlalchemy import Sequence
from sqlalchemy import Column, Integer, BigInteger, Date
from sqlalchemy import ForeignKey
from sqlalchemy.orm import relationship, backref
from Base import Base
from SessionFactory import SessionFactory
from Match import Match
class Game(Base):
__tablename__ = 'games'
id = ... |
import snap
nodes = 10
G = snap.GenFull(snap.PNEANet,nodes)
# define int, float and str attributes on nodes
G.AddIntAttrN("NValInt", 0)
G.AddFltAttrN("NValFlt", 0.0)
G.AddStrAttrN("NValStr", "0")
# define an int attribute on edges
G.AddIntAttrE("EValInt", 0)
# add attribute values, node ID for nodes, edge ID for ed... |
# @author: Manish Bhattarai
import glob
import os
import h5py
import pandas as pd
from scipy.io import loadmat
from .utils import *
class data_read():
r"""Class for reading data.
Parameters
----------
args : class
Class which comprises following attributes
fpath : str
... |
charA = 'A'
stringA = str(charA)
charStr = "Character " + charA
print(stringA)
print(charStr) |
# Skall innehålla info om email-servern
smtpservername = "smtp.gmail.com"
smtpusername = "bunke309@gmail.com"
myaddress = "bunke309@gmail.com"
myname = "Hunke" |
import torch
import torch.nn as nn
import torch.nn.functional as F
from models import VGG
class PerceptualLoss(nn.Module):
"""
PyTorch module for perceptual loss.
Parameters
---
model_type : str
select from [`vgg11`, `vgg11bn`, `vgg13`, `vgg13bn`,
`vgg16`, `vgg16bn`,... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 12 21:56:24 2018
@author: raja
"""
import pandas as pd
import re
from wordcloud import WordCloud
df = pd.read_csv('/home/raja/Desktop/test.txt', header=None, delimiter="\t")
final=[]
for one in df[0]:
new=one.split(':')
final.append(new... |
#Prompt: To save James Bond's reputation as a gambler, you must implement a prediction of whether the Casino Royale is cheating on every observed roll. You are given a spreadsheet of dice rolls and their probabilities under two models: F, "fair dice" where all rolls have equal probability (1/6); and L, "loaded dice" wh... |
#
# api_microformat.py
#
# David Janes
# 2008.12.28
#
# Copyright 2008 David Janes
#
import os
import os
import sys
import urllib
import types
import pprint
import types
import bm_extract
import bm_uri
import bm_api
from bm_log import Log
import hatom
import hcalendar
import hcard
import hdocument
class Micr... |
from __future__ import annotations
import datetime
import json
import logging.config
import os
from pathlib import Path
from miranda.scripting import LOGGING_CONFIG
from miranda.storage import report_file_size
logging.config.dictConfig(LOGGING_CONFIG)
__all__ = [
"era5_variables",
"eccc_rdrs_variables",
... |
import numpy as np
import flask
from flask import Flask, request
import json
from nanonet.features import events_to_features
from nanonet.segment import segment
from nanonet import decoding, nn
from nanonet.util import kmers_to_sequence
import tempfile
import pkg_resources
import subprocess
import timeit
import os
ap... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from .. import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .get_private_endpoint_connections_adt_ap... |
#Do, or do not. There is no try. --Yoda
###############
# CHAPTER 2: Py Ingredients: Numbers, Strings, and Variables
##############
# booleans: whihc have the value True and False:
# integeres: whole number such as 42 adn 10000000
# floats : numbers with decimal points such as 3.12 or sometimes exponents line 10.0e... |
import sys
import os
sys.path.append(os.getcwd())
import torch
from datasets.avmnist.get_data import get_dataloader
from unimodals.common_models import LeNet,MLP,Constant
from torch import nn
from training_structures.cca_onestage import train, test
from fusions.common_fusions import Concat
from unimodals.common_models... |
'''
Filemaker
Input:
- Path to a markdown file with sections deliminated
Output:
- A directory of discrete markdown files.
- A CSV with the path to each file and a summary of each section.
Description:
This script will break up a monolothinc markdown file into parts.
v0.2 2021.2.15
'''
from csv import reader
INFILE... |
"""
first_name = input("Enter your first name: ")
last_name = input("Enter your last name: ")
print("Hello {} {}".format(first_name, last_name))
# The value type from Input is always a String
operand_1 = int(input("Enter 1st operand: "))
operand_2 = int(input("Enter 2nd operand: "))
print("sum is " + str(operand_1 +... |
# pylint: disable-all
import unittest
"""
Description:
Given two sorted integer arrays nums1 and nums2, merge nums2 into nums1 as one sorted array.
Note:
The number of elements initialized in nums1 and nums2 are m and n respectively.
You may assume that nums1 has enough space (size that is greater or equa... |
import os
from constants import PATH_TO_WEIGHTS
def get_model_versions():
previous_runs = os.listdir(PATH_TO_WEIGHTS)
version_numbers = [int(r.split("_")[-1].split(".")[0]) for r in previous_runs if
r[0] != "." and MODEL_ID in r]
return version_numbers
def load_recent_weights(mod... |
# author: Arun Ponnusamy
# object detection with yolo custom trained weights
# usage: python3 yolo_custom_weights_inference.py <yolov3.weights> <yolov3.config> <labels.names>
# import necessary packages
import cvlib as cv
from cvlib.object_detection import YOLO
import cv2
import sys
weights = sys.argv[1]
config = s... |
from google.appengine.ext import db
from google.appengine.api import memcache
import json
import logging
import random
from imageM import *
from userInfo import *
import datetime
import jinja2
import os
import util
jinja_environment = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)))
... |
# Copyright 2019 NEC Corporation
#
# 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 in wri... |
from discord.ext import commands
import lib.dbman as db
import random
class Dice(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
async def r(self, ctx, pool: int = 1, diff: int = 6, wp: str = "0", *reason):
"""
Rolls and checks successes.\n\
Synt... |
from typing import List
from datetime import datetime
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from ninja import Schema, ModelSchema, Field, Router
from ninja.pagination import paginate
from .models import Post, Category, Tag
router = Router()
class PostOut(ModelSch... |
#Russel Tagaca
#udpServer.py
import sys
import time
import socket
import struct
import random
serverIp = "127.0.0.1"
serverPort = 12000
dataLen = 10000000
responseCount = 0;
serverSocket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
#takes IPaddress and port # to socket
serverSocket.bind((serverIp, serverPort))
... |
with open('file_name', 'r') as inf:
s1 = inf.readline() # чтение первой строки в файле
s2 = inf.readline() # Чтение второй строки в файле
s = inf.readline().strip() # удаление служебных символов в троке
#import os
# os.path.join('.', 'dirname', 'filename') # указание полного пути к фай... |
'''
CTCI 1.8
- don't change values until finding all the cells with zeros
- O(N*M), quadratic solution inevitably.
'''
def findZero(mtrx):
row = []
col = []
i = 0
for i in range(len(mtrx)): # len == # rows
j = 0
for j in range(len(mtrx[i])): # len == # cols
if mtrx[i][j] == 0:
row.append(i)
col.a... |
from selenium import webdriver
driver = webdriver.Chrome('Recursos\\chromedriver.exe')
driver.maximize_window()
driver.get('http://www.goodstartbooks.com/pruebas/index.html')
elemento = driver.find_element_by_name('ultimo')
if elemento is not None:
print('El elemento fue encontrado')
else:
print('El elemento... |
# SQLite 접속하기.
import sqlite3
con = sqlite3.connect('c:/temp/userDB') # 데이터베이스 지정(또는 연결)
cur = con.cursor() # 연결 통로 생성 (쿼리문을 날릴 통로)
sql = "SELECT * FROM userTable"
cur.execute(sql)
print(' 사용자아이디 사용자이름 사용자나이')
print(' --------------------------------')
while True :
row = cur.fetchone()
if row == None :
... |
from django.shortcuts import render,redirect,reverse
from django.http import HttpResponse,JsonResponse
from .models import User
from .forms import LoginForm,RegisterForm
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
def regist_view(request)... |
from random import seed
from random import gauss
from random import random
from cv2 import cv2 as cv2
import math
import jsonpickle
import json
import numpy
import shutil
import os
count = 0;
def sift(img):
gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
gray = numpy.float32(gray)
sift = cv2.xfeatures2d.SIFT... |
def find_contact(file_name, find_str):
'''Для поиска контакта по элементу данных переданных в виде строки.
Обработка данных. Вызов функции для
вывода на печать найденного контакта(ов)'''
file_txt_r = open(file_name, 'r') # Открытие файла для чтения данных.
contact_number = 0 # Начальное значен... |
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (C) 2013-2015 Marcos Organizador de Negocios SRL http://marcos.do
# Write by Eneldo Serrata (eneldo@marcos.do)
#
# This program is free software: you can redistribute it and/or modify
# it un... |
import unittest
import sys
from selenium import webdriver
from utils import LogUtil
from utils import common
from utils.TestCaseInfo import TestCaseInfo
from utils.TestReport import TestReport
# sys.path.append("..")
from page import page_lu as page
class TestLu(unittest.TestCase):
def setUp(self):
self.driver ... |
########
#Important parameters
########
# viewing_distance = 60.0 #units can be anything so long as they match those used in screen_width below
# screen_width = 30.0 #units can be anything so long as they match those used in viewing_distance above
# screen_res = (1366,768) #pixel resolution of the screen
viewing_dist... |
URL = "https://api.mailgun.net/v3/sandboxc2e75bed92b1485286fc02a3480847f8.mailgun.org/messages"
API_KEY = "key-7a869a6056a3b8bbc14d06cc2b585392"
FROM = "Mailgun Sandbox <postmaster@sandboxc2e75bed92b1485286fc02a3480847f8.mailgun.org>"
ALERT_TIMEOUT = 10
COLLECTION = "alerts" |
#!/bin/python3
import sys
def __is_palindrome(s):
return s == s[::-1]
def theLoveLetterMystery(s):
if __is_palindrome(s):
return 0
last_index = len(s) - 1
count = 0
for i in range(0, len(s)):
if last_index - i <= i:
break
if s[i] != s[last_index - i]:
... |
class BinarySearchTree:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def depth_first_for_each(self, cb):
# invoke callback with the value of this node
cb(self.value)
# if the left has a valuse recursively invoke the depth first for each on left
if se... |
import datetime
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from homeassistant.helpers.event import async_call_later
import logging
_LOGGER = logging.getLogger(__name__)
DOMAIN = 'actuator'
ACTUATE_SCHEMA = vol.Schema({
vol.Required('sensor_id'): cv.string,
vol.Optional('s... |
import os
import gym
import numpy as np
import logging
import matplotlib.pyplot as plt
from tqdm import tqdm
import torch
from torch.utils.tensorboard import SummaryWriter
from noise import OUNoise
from model import Actor,Critic,DDPG_AC
from utils import get_args,dir_maker
from replay import ReplayOneDeque
from ddpg_ag... |
from django.contrib import admin
from .models import Tweet, Relationship, Like
# Register your models here.
class TweetAdmin(admin.ModelAdmin):
list_display = ('id', 'user', 'text',)
list_display_links = ('id',)
admin.site.register(Tweet, TweetAdmin)
class RelationshipAdmin(admin.ModelAdmin):
list_display = ('id'... |
"""
Diffuse Self-Shading
====================
Modeling the reduction in diffuse irradiance caused by row-to-row diffuse
shading.
"""
# %%
# The term "self-shading" usually refers to adjacent rows blocking direct
# irradiance and casting shadows on each other. However, the concept also
# applies to diffuse irradiance ... |
count = 0
for number in range(1, 10):
if(number % 2 == 0):
print(number)
count += 1
print(f"The total number of even numbers are: {count}")
|
from IPython.display import clear_output
board = ['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a']
def printboard():
print
board[0], board[1], board[2]
print
board[3], board[4], board[5]
print
board[6], board[7], board[8]
marker = 'x'
index = -1
while True:
if board[0] == board[1] == board[2... |
import pygame
from pygame.locals import *
import sys
import random
WINDOWWIDTH = 300
WINDOWHEIGHT = 400
PADDLEWIDTH = 60
PADDLEHEIGHT = 20
FRUITSIZE = 10
FPS = 60
PADDLECOLOR = (255, 0, 0)
FRUITCOLOR = (0, 0, 255)
class Paddle(pygame.sprite.Sprite):
def __init__(self, window_width, window_height, width, height... |
def find_duplicate(arr):
i = 0
while i < len(arr):
j = arr[i] - 1
if arr[i] != arr[j]:
arr[i], arr[j] = arr[j], arr[i]
else:
i += 1
print (arr)
for i in range(len(arr)):
if arr[i] != i+1:
return arr[i]
return -1
def main():
print(find_duplicate([... |
# encoding: utf-8
# module cmath
# from /home/pyy2/.virtualenvs/pyy3.5/lib/python3.5/lib-dynload/cmath.cpython-35m-x86_64-linux-gnu.so
# by generator 1.145
"""
This module is always available. It provides access to mathematical
functions for complex numbers.
"""
# no imports
# Variables with simple values
e = 2.718281... |
""" Models and database functions """
from flask_sqlalchemy import SQLAlchemy
import bcrypt
db = SQLAlchemy()
class User(db.Model):
""" User information """
__tablename__ = "users"
user_id = db.Column(db.Integer, autoincrement=True, primary_key=True)
email = db.Column(db.String(30), unique=True, n... |
from credential.telegram import key as telegramKey
from credential.mongoDb import key as mongoDbKey
from aiogram import Bot, Dispatcher, executor, types
from aiogram.dispatcher.filters import Text
from pymongo import MongoClient
import json
import logging
import datetime
def bot():
client = MongoClient(mongoDbKey... |
N, K = map(int, input().split())
q = list(range(1, N + 1))
ret = []
pos = 0
for _ in range(N):
pos += K - 1
pos %= len(q)
ret.append(str(q[pos]))
del q[pos]
print('<' + ', '.join(ret) + '>') |
##
# -*- coding: utf-8 -*-
import os
import cv2
import matplotlib.pyplot as plt
import argparse
parser = argparse.ArgumentParser(description='flip the images')
parser.add_argument('--flip_dir', dest='flip_dir', required=True, help='directory to flip images')
args = parser.parse_args()
path_dir = args.flip_dir + '/re... |
import numpy as np
from .rk4 import rk4
def rka(x,t,tau,err,derivsRK,param):
"""Adaptive Runge-Kutta routine
Inputs
x Current value of the dependent variable
t Independent variable (usually time)
tau Step size (usually time step)
err Desired fr... |
"""
Server to guess what ... serving ludos model.
This service is running a zmq client/server interface
to run the inference.
To access it, just connect to the server using
```
socket = context.socket(zmq.REQ)
socket.connect("tcp://IP_OF_THE_SERVER:PORT_OF_THE_SERVER")
```
The server expected request format and ser... |
"""
A Joule is the international unit of energy.
A watt is the international unit of power.
A watt is a measure of energy *flow*. That is a watt is a flow of energy
(lets say out of the wall socket, into your lamp) of 1 Joule per second.
One joule is approximately 1% of a peanut. This is a tiny amount. Honestly. A ... |
import imutils
import cv2
# print(cv2.__version__)
# # load the input image and show its dimensions, keeping in mind that
# # images are represented as a multi-dimensional NumPy array with
# # shape no. rows (height) x no. columns (width) x no. channels (depth)
image = cv2.imread("static/images/boca2000.jpg")
(h, w, ... |
#Exercício Python 44: Elabore um programa que calcule o valor a ser pago por um produto, considerando o seu preço normal e condição de pagamento:
#– à vista dinheiro/cheque: 10% de desconto
#– à vista no cartão: 5% de desconto
#– em até 2x no cartão: preço formal
#– 3x ou mais no cartão: 20% de juros
print('='*15, '\... |
import os
import sys
import pymysql
pymysql.install_as_MySQLdb()
sys.path.append(os.getcwd())
os.environ['DJANGO_SETTINGS_MODULE'] = "main.settings"
### new django versions
from django.core.wsgi import get_wsgi_application
wsgi_application = get_wsgi_application()
def application(environ, start_response):
... |
from django.urls import path
from loginregist import views
app_name = 'loginregist'
urlpatterns = [
path('login', views.login, name='login'),
path('loginlogic', views.loginlogic,name='loginlogic'),
path('regist', views.regist, name='regist'),
path('registlogic', views.registlogic, name='registlo'),
... |
from typing import Dict, Any, Callable
import logging
import traceback
import boto3
logger = logging.getLogger()
sqs_client = boto3.client('sqs')
# give a callback that return True on successful processing
def process_messages(
queue_url: str,
message_callback: Callable[[Dict[str, Any]], bool]) -> N... |
def sum_up_to_even(lista):
soma = 0
for i in lista:
soma = soma + i
if i%2 == 0:
return soma - i
#Se não existir número par retorna -1
return -1
print(sum_up_to_even([1,3,8, 9, 10])) |
from django.test import TestCase
from numbers_converter.exceptions import TooBigNumberException
from numbers_converter.services import ConverterService
class ConverterServiceTest(TestCase):
def test_converter_return_zero(self):
converted_text = ConverterService.number_to_text(0)
self.assertEqual... |
# -*- coding: utf-8 -*-
"""
celery cli handlers logtool module.
"""
from pyrin.task_queues.celery.cli.decorators import celery_cli_handler
from pyrin.task_queues.celery.cli.enumerations import CeleryCLIHandlersEnum
from pyrin.task_queues.celery.cli.interface import CeleryCLIHandlerBase
from pyrin.task_queues.celery.cl... |
import numpy as np
import cv2
import subprocess
from VITA_PRINTER import VITA_PRINTER
from camera_v4 import VITA_PRINTER_CONTROLLER
import serial
import pygame
from pi2uno_v2 import ARDUINO
from picamera import PiCamera
from time import sleep
from fractions import Fraction
refpt = []
isClick = False
def mainLoop(cont... |
import unittest
from zxopt.data_structures.circuit import Circuit, MeasurementComponent, GateComponent, PauliXGateType
from zxopt.data_structures.circuit.register.classical_register import ClassicalRegister
from zxopt.data_structures.circuit.register.quantum_register import QuantumRegister
class CircuitTest(unittest... |
import gym
import numpy as np
import matplotlib.pyplot as plt
from time import sleep
def get_action(observation,W1,W2,b1,b2):
# convert the observation array into a matrix with 1 column and ninputs rows
observation.resize(ninputs,1)
Z1 = np.dot(W1, observation) + b1
A1 = np.tanh(Z1)
Z2 = np.dot(W2,... |
def check_memory_loop(memory, current_memory):
if memory == current_memory:
return True
else:
return False
def memory_distribution(file_name):
with open(file_name) as fp:
line = [int(x) for x in fp.read().strip().split()]
tmp = line #??????????????????????? zmienia sie
... |
#Time Complexity : O(n), Space Complexity : O(1)
#Solution : 움직이는 속도가 다른 두 노드를 두어 언젠가 동일해지면 loop가 존재하는 것.
class Solution(object):
def hasCycle(self, head):
node_fast = head
node_slow = head
while node_fast:
node_fast = node_fast.next
if not node_fast:
... |
# PyTorch imports
import torch
import torch.nn as nn
import torch.optim as optim
# Other libraries
import numpy as np
from collections import OrderedDict
import math
class heuristic:
"""
Heuristic model that just return the sigmoid of the difference in gold and experience combined,
with scaling and bias.... |
def count_sheep( input_ ):
if input_ == 0:
return "INSOMNIA"
digit = set()
x = input_
while True:
x_string = str(x)
for c in x_string:
digit.add(c)
if len(digit) == 10:
return x
x += input_
if __name__ == '__main__':
t = int(raw_input())
for i in xrange( 1, t+1 ):
n = int(raw_input())
prin... |
from django.test import TestCase
from django.core.urlresolvers import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from authentication.models import Account
class AccountTests(APITestCase):
def test_create_account(self):
"""
Ensure we can create a new accoun... |
from data_types import *
import cv2
import numpy as np
import math
kNumLevelsInitSigma = 40
kSigmaLevel0 = 1.0
kNumFeatures = 2000
kFASTKeyPointSizeRescaleFactor = 4
# best features to keep
def sat_num_features(keypoints, des=None, num_features=kNumFeatures):
if len(keypoints) > num_features:
... |
from itertools import permutations
t = int( raw_input() )
for i in range( 1, t+1 ):
inps = raw_input().split(" ")
k = int(inps[0])
c = int(inps[1])
s = int(inps[2])
#print k
#print c
#print s
if k == 1:
print 'Case #{}: {}'.format(i, 1)
continue
print 'Case #{}:'.format(i), " ".join([ str(i) for i in range... |
# Generated by Django 2.2.3 on 2019-11-15 21:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('vocab_list', '0007_auto_20190404_2141'),
]
operations = [
migrations.AddField(
model_name='vocabularylistentry',
nam... |
from selenium.webdriver.common.by import By
from testcase.common.allBasePageClass import AllBasePage
from utils.config import get_appPackage
class ZXFillAnswerPage1(AllBasePage):
appPackage = get_appPackage()
'''
真题写作作答页
'''
start_to_answer_btn_id = (By.ID, "{}:id/fragment_error_find_question_star... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time: 00:14 2020/12/25
# @Author: Sijie Shen
# @File: seq2seq_inference
# @Project: Seq2seqModel
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time: 01:38 2020/8/11
# @Author: Sijie Shen
# @File: seq2seq_train
# @Project: Seq2seqModel
import torch
import torch.n... |
import os
from celery import Celery
from celery.schedules import crontab
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "BPPRC.settings")
celery_app = Celery("BPPRC")
celery_app.config_from_object("django.conf.settings", namespace="CELERY")
# here is the beat schedule dictionary defined
celery_app.conf.beat_schedu... |
from __future__ import annotations
from abc import ABC
from typing import Any
from .profile import EDCProfile, WindowReport
from .smart_grid import EnergyDemand
class ProcessingUnitReport:
def __init__(self, edc_id: str, pu_id: str, pu_type_id: str, status: bool, service_id: str | None,
n_session... |
__author__ = 'amir'
import glob
import random
import csv
import os
import math
import sqlite3
import shutil
import results
import subprocess
import wekaMethods.wekaAccuracy
import utilsConf
def optimize(inds_bef, mat, priors):
inds=[]
newPriors = []
newMat = [[] for t in mat]
len_mat0_ = len(mat[0]) ... |
import speech_recognition as sr # type: ignore
class Listen:
def listen_for_speech(self, text: str="Powiedz cość") -> str:
r = sr.Recognizer()
with sr.Microphone() as source:
print(text)
audio = r.listen(source)
try:
recoding = r.recognize_goo... |
#!public /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2015 Sean Kirmani <sean@kirmani.io>
#
# Distributed under terms of the MIT license.
"""TODO(Sean Kirmani): DO NOT SUBMIT without one-line documentation for test
TODO(Sean Kirmani): DO NOT SUBMIT without a detailed description of tes... |
import threading
class ZeroEvenOdd(object):
odd_lock , even_lock, zero_lock = threading.Lock, threading.Lock, threading.Lock
def __init__(self, n):
self.odd_lock = threading.Lock()
self.even_lock = threading.Lock()
self.zero_lock = threading.Lock()
self.odd_lock.acquire()
... |
from botocore.exceptions import ClientError
import boto3
import os
import logging
import json
import time
import uuid
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
region = os.environ['AWS_DEFAULT_REGION']
sts_client = boto3.client('sts')
def lambda_handler(event, context):
logger.debug("Recei... |
class Pound:
def __init__(self,rare=False):
self.rare=rare
if self.rare:
self.value=1.25
else:
self.value=1.00
self.color="gold"
self.diameter=22.5#mm
self.num_edges=1
self.thickness=3.15#mm
self.heads=True
def rust(self):
... |
import cv2
import numpy as np
img = cv2.imread('SOfaOutput_img.png')
LegInImg = cv2.imread('sofawithleg.jpg')
LegInImgRight = cv2.flip(LegInImg, 1)
list = [LegInImgRight,LegInImg]
Repleg = cv2.imread('leg.jpg')
for i in list:
res = cv2.matchTemplate(img, i, cv2.TM_CCOEFF_NORMED)
loc = np.where (res >= 0... |
class Settings():
def __init__(self):
self.screen_width = 900
self.screen_height = 900
self.bg_color = (243, 222, 187)
self.initial_background = "image/kulami.jpg"
self.hole_size = 50
self.tile_edge_color = (150, 127, 103)
self.font_color = (154, 202, ... |
##################################################
# cpdb_services_types.py
# generated by ZSI.generate.wsdl2python
##################################################
import ZSI
import ZSI.TCcompound
from ZSI.schema import LocalElementDeclaration, ElementDeclaration, TypeDefinition, GTD, GED
######################... |
from ereuse_devicehub.resources.device.models import Device
from teal.resource import View
class DeviceView(View):
def one(self, id: int):
"""Gets one device."""
device = Device.query.filter_by(id=id).one()
return self.schema.jsonify(device)
def find(self, args: dict):
"""Gets... |
from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
import pymysql
from sqlalchemy import or_
pymysql.install_as_MySQLdb()
#创建一个Ｆlsak应用程序,用于实现前后端交互以及与数据库连接的功能
app = Flask(__name__)
#制定连接的数据库
app.config['SQLALCHEMY_DATABASE_URI']="mysql://root:120913@localhost:3306/flask"... |
import pytest
from pytestqt.qt_compat import qt_api
from src.dock import PangoDockWidget
from PyQt5.QtWidgets import QFileSystemModel, QListView
def test_basic_dock(app):
assert app.label_widget.isVisible() == True
assert app.label_widget.windowTitle() == "Labels"
assert app.undo_widget.isVisible() == T... |
import sys
sys.setrecursionlimit(10**6)
def dfs(v, seen, group):
seen[v] = True
groups[v] = group
for nv in g[v]:
if seen[nv]: continue
dfs(nv, seen, group)
n, m = map(int, input().split())
g = [[] for _ in range(n)]
for _ in range(m):
a, b = map(int, input().split())
a -= 1
b ... |
import re
class GIZAReader(object):
def __init__(self, filename):
self.aligned_lines = list()
with open(filename, 'r') as giza_file:
while True:
line_info = giza_file.readline()
if not line_info:
break
line_plain = giz... |
#coding=utf-8
import itertools
import math
import os
import random
import sys
import numpy as np
import cv2
import codecs
from img_utils import *
from jittering_methods import *
from parse_args import parse_args
args = parse_args()
fake_resource_dir = sys.path[0] + "/fake_resource/"
output_dir = a... |
import scrapy
from scrapy import Selector
import re
from lxml import etree
from bs4 import BeautifulSoup as BS
from ljbj.items import LjbjItem
class ljbj(scrapy.Spider):
name = 'ljbj'
def __init__(self):
self.allow_domains = ['lianjia.com']
self.start_urls = ['https://bj.lianjia.com/chengjiao... |
import argparse
import random
import parsl
from parsl.app.app import App
from parsl.tests.configs.local_threads import config
@App('python')
def map_one(x, dur):
import time
time.sleep(dur)
return x * 2
@App('python')
def map_two(x, dur):
import time
time.sleep(dur)
return x * 5
@App('pyt... |
"""
Nipype-pipeline: anatomical preprocessing
Anatomical data preprocessing steps:
1. Transform slices (from oblique to axial orientation and) to FSL std orientation
2. Skull strip (Can be done with BET before entering the pipeline. In that case, leave out.)
3. Tissue segmentation
4. Register to MNI152 standard tem... |
import os
import logging
import collections
from logging import handlers
from .contracts import FutureBlockCall
class cached_property(object):
"""
Decorator that converts a method with a single self argument into a
property cached on the instance.
Optional ``name`` argument allows you to make cached ... |
"""
Usage:
ProcessingFilteredData.py <year> (--SP500 | --SP1500 | --all)
"""
import pandas as pd
from glob import glob
from docopt import docopt
import json
if __name__ == "__main__":
opt = docopt(__doc__)
print(opt)
year = opt["<year>"]
# Dictionary of dictionary to save occurrance o... |
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