





"""simple docstring"""



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

import requests







def 		__lowercase					(       snake_case_  :  str = "isbn/0140328726"						)       ->dict:



				'''simple docstring'''







				__A   :						int									=					olid.strip().strip('''/'''						)  # Remove leading/trailing whitespace & slashes
				if new_olid.count('''/'''						) != 1:
								__A   :						Tuple									=					F"""{olid} is not a valid Open Library olid"""
								raise ValueError(snake_case_						)
				return requests.get(F"""https://openlibrary.org/{new_olid}.json"""						).json()







def 		__lowercase					(       snake_case_  :  dict						)       ->dict:



				'''simple docstring'''







				__A   :						str									=					{
				    '''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   :						str									=					{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
				__A   :						Dict									=					[
				    get_openlibrary_data(author['''key''']						)['''name'''] for author in data['''Authors''']
				]
				__A   :						str									=					data['''First sentence''']['''value''']
				for key, value in data.items():
								if isinstance(snake_case_    ,snake_case_						):
												__A   :						Optional[Any]									=					''', '''.join(snake_case_						)
				return data


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							while True:
														a_			=      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:
																					a_			=      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"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a_			=      {
    """configuration_bloom""": ["""BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BloomConfig""", """BloomOnnxConfig"""],
}
try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_			=      ["""BloomTokenizerFast"""]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_			=      [
           """BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """BloomForCausalLM""",
           """BloomModel""",
           """BloomPreTrainedModel""",
           """BloomForSequenceClassification""",
           """BloomForTokenClassification""",
           """BloomForQuestionAnswering""",
       ]

if TYPE_CHECKING:
       from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_bloom_fast import BloomTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_bloom import (
                  BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
                  BloomForCausalLM,
                  BloomForQuestionAnswering,
                  BloomForSequenceClassification,
                  BloomForTokenClassification,
                  BloomModel,
                  BloomPreTrainedModel,
              )

else:
       import sys

       a_			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




