'''simple docstring'''




from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests






def __lowerCAmelCase			(							UpperCamelCase__ = "isbn/0140328726"    )     ->   dict:
    __lowerCamelCase          =  olid.strip().strip('''/'''    )  # Remove leading/trailing whitespace & slashes
    if new_olid.count('''/'''    ) != 1:
        __lowerCamelCase          =  f"""{olid} is not a valid Open Library olid"""
        raise ValueError(__lowerCAmelCase    )
    return requests.get(f"""https://openlibrary.org/{new_olid}.json"""    ).json()






def __lowerCAmelCase			(							UpperCamelCase__    )     ->   dict:
    __lowerCamelCase          =  {
        '''title''': '''Title''',
        '''publish_date''': '''Publish date''',
        '''authors''': '''Authors''',
        '''number_of_pages''': '''Number of pages:''',
        '''first_sentence''': '''First sentence''',
        '''isbn_10''': '''ISBN (10)''',
        '''isbn_13''': '''ISBN (13)''',
    }
    __lowerCamelCase          =  {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
    __lowerCamelCase          =  [
        get_openlibrary_data(author['''key''']    )['''name'''] for author in data['''Authors''']
    ]
    __lowerCamelCase          =  data['''First sentence''']['''value''']
    for key, value in data.items():
        if isinstance(__lowerCAmelCase    ,  __lowerCAmelCase    ):
            __lowerCamelCase          =  ''', '''.join(__lowerCAmelCase    )
    return data


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  while True:
    __UpperCAmelCase												=input("\nEnter the ISBN code to search (or \'quit\' to stop): ").strip()
    if isbn.lower() in ("", "q", "quit", "exit", "stop"):
      break

    if len(isbn) not in (1_0, 1_3) or not isbn.isdigit():
      print(f'''Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.''')
      continue

    print(f'''\nSearching Open Library for ISBN: {isbn}...\n''')

    try:
      __UpperCAmelCase												=summarize_book(get_openlibrary_data(f'''isbn/{isbn}'''))
      print("\n".join(f'''{key}: {value}''' for key, value in book_summary.items()))
    except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
      print(f'''Sorry, there are no results for ISBN: {isbn}.''')

'''simple docstring'''




import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey




class    a__				:






     def __init__(			self		:		List[Any]  ,    a		:		Tuple  ,    a		:		int  ,    a		:		int   ):





         """simple docstring"""



         if dst_width < 0 or dst_height < 0:
             raise ValueError('''Destination width/height should be > 0'''   )

         __lowerCamelCase          =  img
         __lowerCamelCase          =  img.shape[1]
         __lowerCamelCase          =  img.shape[0]
         __lowerCamelCase          =  dst_width
         __lowerCamelCase          =  dst_height

         __lowerCamelCase          =  self.src_w / self.dst_w
         __lowerCamelCase          =  self.src_h / self.dst_h

         __lowerCamelCase          =  __lowerCamelCase          =  (
             np.ones((self.dst_h, self.dst_w, 3)  ,    np.uinta   ) * 2_55
         )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         for i in range(self.dst_h   ):
             for j in range(self.dst_w   ):
                 __lowerCamelCase          =  self.img[self.get_y(a   )][self.get_x(a   )]






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]  ,    a		:		int   ):





         """simple docstring"""



         return int(self.ratio_x * x   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple  ,    a		:		int   ):





         """simple docstring"""



         return int(self.ratio_y * y   )


if __name__ == "__main__":
  __UpperCAmelCase							,	__UpperCAmelCase												=8_0_0, 6_0_0
  __UpperCAmelCase												=imread("image_data/lena.jpg", 1)
  __UpperCAmelCase												=NearestNeighbour(im, dst_w, dst_h)
  n.process()

  imshow(
      f'Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}', n.output
  )
  waitKey(0)
  destroyAllWindows()
