code: 
  '''simple docstring'''
  import os
  
  import requests
  from bsa import BeautifulSoup
  from fake_useragent import UserAgent
  
  lowercase__						=		{"UserAgent": UserAgent().random}
  lowercase__						=		"https://www.mywaifulist.moe/random"
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       None:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					List[Any]     =	requests.get(SCREAMING_SNAKE_CASE__   ,					headers=SCREAMING_SNAKE_CASE__ )
  		with open(SCREAMING_SNAKE_CASE__   ,					'''wb''' ) as file:
  				file.write(image.content )
  
  
  
  
  def       _UpperCamelCase	(					)     ->       tuple[str, str, str]:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Tuple     =	BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__   ,					headers=SCREAMING_SNAKE_CASE__ ).text   ,					'''html.parser''' )
  		snake_case     :					List[str]     =	soup.find('''meta'''   ,					attrs={'''property''': '''og:title'''} ).attrs['''content''']
  		snake_case     :					Tuple     =	soup.find('''meta'''   ,					attrs={'''property''': '''og:image'''} ).attrs['''content''']
  		snake_case     :					Tuple     =	soup.find('''p'''   ,					id='''description''' ).get_text()
  		snake_case     :					int     =	os.path.splitext(os.path.basename(SCREAMING_SNAKE_CASE__ ) )
  		snake_case     :					Tuple     =	title.strip().replace(''' '''   ,					'''_''' )
  		snake_case     :					List[Any]     =	F'{image_title}{image_extension}'
  		save_image(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )
  		return (title, description, image_title)
  
  
  if __name__ == "__main__":
  						lowercase__					,     lowercase__					,     lowercase__						=		random_anime_character()
  						print(f"{title}\n\n{desc}\n\nImage saved : {image_title}")
  
  
  
style_context: 
  '''simple docstring'''
  import numpy as np
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Optional[Any]:
  
  
  		'''simple docstring'''
  
  
  		snake_case ,snake_case     :					str     =	a.shape
  		snake_case     :					Union[str, Any]     =	min(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )
  		snake_case     :					List[Any]     =	np.eye(SCREAMING_SNAKE_CASE__ )
  		snake_case     :					Union[str, Any]     =	a.copy()
  
  		for k in range(t - 1 ):
  				# select a column of modified matrix A':
  				snake_case     :					Union[str, Any]     =	r[k:, [k]]
  				# construct first basis vector
  				snake_case     :					str     =	np.zeros_like(SCREAMING_SNAKE_CASE__ )
  				snake_case     :					List[str]     =	1.0
  				# determine scaling factor
  				snake_case     :					int     =	np.linalg.norm(SCREAMING_SNAKE_CASE__ )
  				# construct vector v for Householder reflection
  				snake_case     :					Optional[int]     =	x + np.sign(x[0] ) * alpha * ea
  				v /= np.linalg.norm(SCREAMING_SNAKE_CASE__ )
  
  				# construct the Householder matrix
  				snake_case     :					Tuple     =	np.eye(m - k ) - 2.0 * v @ v.T
  				# pad with ones and zeros as necessary
  				snake_case     :					int     =	np.block([[np.eye(SCREAMING_SNAKE_CASE__ ), np.zeros((k, m - k) )], [np.zeros((m - k, k) ), q_k]] )
  
  				snake_case     :					int     =	q @ q_k.T
  				snake_case     :					Dict     =	q_k @ r
  
  		return q, r
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  
  
  