





from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						int:






				"""simple docstring"""


				snake_case_						:    Tuple				=  cva.getAffineTransform(_UpperCamelCase ,				_UpperCamelCase )
				return cva.warpAffine(_UpperCamelCase ,				_UpperCamelCase ,				(rows, cols) )


if __name__ == "__main__":
	# read original image
	lowerCAmelCase_    =				cva.imread(
	    str(Path(__file__).resolve().parent.parent / '''image_data''' / '''lena.jpg''')
	)
	# turn image in gray scale value
	lowerCAmelCase_    =				cva.cvtColor(image, cva.COLOR_BGR2GRAY)
	# get image shape
	lowerCAmelCase_    =				gray_img.shape

	# set different points to rotate image
	lowerCAmelCase_    =				np.array([[5_0, 5_0], [2_0_0, 5_0], [5_0, 2_0_0]], np.floataa)
	lowerCAmelCase_    =				np.array([[1_0, 1_0_0], [2_0_0, 5_0], [1_0_0, 2_5_0]], np.floataa)
	lowerCAmelCase_    =				np.array([[5_0, 5_0], [1_5_0, 5_0], [1_2_0, 2_0_0]], np.floataa)
	lowerCAmelCase_    =				np.array([[1_0, 1_0_0], [8_0, 5_0], [1_8_0, 2_5_0]], np.floataa)

	# add all rotated images in a list
	lowerCAmelCase_    =				[
	    gray_img,
	    get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
	    get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
	    get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
	]

	# plot different image rotations
	lowerCAmelCase_    =				plt.figure(1)
	lowerCAmelCase_    =				["Original", "Rotation 1", "Rotation 2", "Rotation 3"]
	for i, image in enumerate(images):
		plt.subplot(2, 2, i + 1), plt.imshow(image, '''gray''')
		plt.title(titles[i])
		plt.axis('''off''')
		plt.subplots_adjust(left=0.0, bottom=0.05, right=1.0, top=0.95)
	plt.show()






from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
 lowerCamelCase				:		int     =   input("Enter image url: ").strip()
 print(F"""Downloading image from {url} ...""")
 lowerCamelCase				:		Tuple     =   BeautifulSoup(requests.get(url).content, "html.parser")
 # The image URL is in the content field of the first meta tag with property og:image
 lowerCamelCase				:		int     =   soup.find("meta", {"property": "og:image"})["content"]
 lowerCamelCase				:		Dict     =   requests.get(image_url).content
 lowerCamelCase				:		Optional[int]     =   F"""{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg"""
 with open(file_name, "wb") as fp:
  fp.write(image_data)
 print(F"""Done. Image saved to disk as {file_name}.""")



