



"""simple docstring"""
from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests
def    A_  (			_lowercase = "isbn/0140328726"	):







						'''simple docstring'''


						snake_case_ :str						=			olid.strip().strip("""/"""	)  # Remove leading/trailing whitespace & slashes
						if new_olid.count("""/"""	) != 1:
												snake_case_ :Any						=			f"""{olid} is not a valid Open Library olid"""
												raise ValueError(_lowercase	)
						return requests.get(f"""https://openlibrary.org/{new_olid}.json"""	).json()
def    A_  (			_lowercase	):







						'''simple docstring'''


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







import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
					from transformers import AutoModelForSeqaSeqLM, AutoTokenizer


@require_torch
@require_sentencepiece
@require_tokenizers
class 						__UpperCAmelCase      (					unittest.TestCase						):


							@slow
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		AutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'    ,   return_dict=lowerCAmelCase_  ).to(lowerCAmelCase_  )
								_snake_case   						=		AutoTokenizer.from_pretrained('google/mt5-small'  )

								_snake_case   						=		tokenizer('Hello there'    ,   return_tensors='pt'  ).input_ids
								_snake_case   						=		tokenizer('Hi I am'    ,   return_tensors='pt'  ).input_ids

								_snake_case   						=		model(input_ids.to(lowerCAmelCase_  )    ,   labels=labels.to(lowerCAmelCase_  )  ).loss
								_snake_case   						=		-(labels.shape[-1] * loss.item())

								_snake_case   						=		-84.9127
								self.assertTrue(abs(mtf_score - EXPECTED_SCORE  ) < 1E-4  )

