
import copy
import random

from transformers import CLIPTokenizer







class 			__A( __UpperCAmelCase			):




				def __init__(     self		,     *_snake_case		,     **_snake_case				)    ->      str:


								'''simple docstring'''




								super().__init__(*__SCREAMING_SNAKE_CASE		,     **__SCREAMING_SNAKE_CASE				)
								__a										=    {}




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     *_snake_case		,     **_snake_case				)    ->      List[Any]:


								'''simple docstring'''




								__a										=    super().add_tokens(__SCREAMING_SNAKE_CASE		,     *__SCREAMING_SNAKE_CASE		,     **__SCREAMING_SNAKE_CASE				)
								if num_added_tokens == 0:
												raise ValueError(
												    F"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
												    ''' `placeholder_token` that is not already in the tokenizer.'''				)




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     *_snake_case		,     _snake_case=1		,     **_snake_case				)    ->      List[str]:


								'''simple docstring'''




								__a										=    []
								if num_vec_per_token == 1:
												self.try_adding_tokens(__SCREAMING_SNAKE_CASE		,     *__SCREAMING_SNAKE_CASE		,     **__SCREAMING_SNAKE_CASE				)
												output.append(__SCREAMING_SNAKE_CASE				)
								else:
												__a										=    []
												for i in range(__SCREAMING_SNAKE_CASE				):
																__a										=    placeholder_token + F"""_{i}"""
																self.try_adding_tokens(__SCREAMING_SNAKE_CASE		,     *__SCREAMING_SNAKE_CASE		,     **__SCREAMING_SNAKE_CASE				)
																output.append(__SCREAMING_SNAKE_CASE				)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
								for token in self.token_map:
												if token in placeholder_token:
																raise ValueError(
																    F"""The tokenizer already has placeholder token {token} that can get confused with"""
																    F""" {placeholder_token}keep placeholder tokens independent"""				)
								__a										=    output




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case=False		,     _snake_case=1.0				)    ->      Optional[int]:


								'''simple docstring'''




								if isinstance(__SCREAMING_SNAKE_CASE		,     __SCREAMING_SNAKE_CASE				):
												__a										=    []
												for i in range(len(__SCREAMING_SNAKE_CASE				)				):
																output.append(self.replace_placeholder_tokens_in_text(text[i]		,     vector_shuffle=__SCREAMING_SNAKE_CASE				)				)
												return output
								for placeholder_token in self.token_map:
												if placeholder_token in text:
																__a										=    self.token_map[placeholder_token]
																__a										=    tokens[: 1 + int(len(__SCREAMING_SNAKE_CASE				) * prop_tokens_to_load				)]
																if vector_shuffle:
																				__a										=    copy.copy(__SCREAMING_SNAKE_CASE				)
																				random.shuffle(__SCREAMING_SNAKE_CASE				)
																__a										=    text.replace(__SCREAMING_SNAKE_CASE		,     ''' '''.join(__SCREAMING_SNAKE_CASE				)				)
								return text




				def __call__(     self		,     _snake_case		,     *_snake_case		,     _snake_case=False		,     _snake_case=1.0		,     **_snake_case				)    ->      str:


								'''simple docstring'''




								return super().__call__(
								    self.replace_placeholder_tokens_in_text(
								        __SCREAMING_SNAKE_CASE		,     vector_shuffle=__SCREAMING_SNAKE_CASE		,     prop_tokens_to_load=__SCREAMING_SNAKE_CASE				)		,     *__SCREAMING_SNAKE_CASE		,     **__SCREAMING_SNAKE_CASE		,     )




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     *_snake_case		,     _snake_case=False		,     _snake_case=1.0		,     **_snake_case				)    ->      Tuple:


								'''simple docstring'''




								return super().encode(
								    self.replace_placeholder_tokens_in_text(
								        __SCREAMING_SNAKE_CASE		,     vector_shuffle=__SCREAMING_SNAKE_CASE		,     prop_tokens_to_load=__SCREAMING_SNAKE_CASE				)		,     *__SCREAMING_SNAKE_CASE		,     **__SCREAMING_SNAKE_CASE		,     )




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

import requests





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





def      __snake_case	(			_UpperCAmelCase				):
    __a						       =				{
        '''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)''',
    }
    __a						       =				{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
    __a						       =				[
        get_openlibrary_data(author['''key''']				)['''name'''] for author in data['''Authors''']
    ]
    __a						       =				data['''First sentence''']['''value''']
    for key, value in data.items():
        if isinstance(_UpperCAmelCase   , _UpperCAmelCase				):
            __a						       =				''', '''.join(_UpperCAmelCase				)
    return data


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 while True:
  __snake_case						:List[Any]      		=     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 (10, 13) 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:
   __snake_case						:Optional[Any]      		=     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}.')





