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import numpy as np
import matplotlib.pyplot as plt
from PIL import Image

fname = 'daniel-plan-u1WcrpHk6Pg-unsplash.jpg'
image = Image.open(fname).convert("L")
img_mat = np.asarray(image)
plt.imshow(img_mat, cmap='gray', vmin=0, vmax=255)
plt.show()

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import wolframalpha
client = wolframalpha.Client("lilpumpsaysnopeeking")

import wikipedia

import PySimpleGUI as sg
sg.theme('DarkPurple')
layout =[[sg.Text('Enter a command'), sg.InputText()],[sg.Button('Ok'), sg.Button('Cancel')]]
window = sg.Window('PyDa', layout)

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#!/usr/bin/env python3
"""A recursive-descent arithmetic calculator."""

import re
from collections import namedtuple
from fractions import Fraction

Parse = namedtuple('Parse', 'value, index')

FAILURE = Parse(None, -1)

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import cv2
guardcam = cv2.VideoCapture(0)
while guardcam.isOpened():
    ret, frame1 = guardcam.read()
    ret, frame2 = guardcam.read()
    diff = cv2.absdiff(frame1, frame2)
    gray = cv2.cvtColor(diff, cv2.COLOR_RGB2GRAY)
    blur = cv2.GaussianBlur(gray, (5, 5), 0)
    _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
    dilated = cv2.dilate(thresh, None, iterations=3)

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
SHARED MEMORY TESTS
Pure Python & Numpy openMP-style for-loop based on POSIX shared memory
and forks for Unix-like systems (tested on Linux)

Copyright (C) 2021 Sebastian M. Ernst <[email protected]>

simrit1

import struct
import zlib
from typing import BinaryIO, List, Tuple

Pixel = Tuple[int, int, int]
Image = List[List[Pixel]]

BLACK_PIXEL: Pixel = (0, 0, 0)
WHITE_PIXEL: Pixel = (255, 255, 255)

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simrit1

import logging
from argparse import ArgumentParser


logger = logging.getLogger(__name__)


def data():
    logger.info('run data func')
    

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from transformers import pipeline
from txtai.pipeline import HFTrainer

# Training data
data = [
    {"question": "What ingredient?", "context": "Pour 1 can whole tomatoes", "answers": "tomatoes"},
    {"question": "What ingredient?", "context": "Dice 1 yellow onion", "answers": "onion"},
    {"question": "What ingredient?", "context": "Cut 1 red pepper", "answers": "pepper"},
    {"question": "What ingredient?", "context": "Peel and dice 1 clove garlic", "answers": "garlic"},
    {"question": "What ingredient?", "context": "Put 1/2 lb beef", "answers": "beef"},

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import math
import numpy as np
from timebudget import timebudget
from multiprocessing import Pool

iterations_count = round(1e7)

def complex_operation(input_index):
    print("Complex operation. Input index: {:2d}".format(input_index))