






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

import requests
def 					snake_case_						(   lowerCAmelCase_				:  List[str] = "isbn/0140328726"					):
							__lowercase					:							int			=   olid.strip().strip("""/"""					)  # Remove leading/trailing whitespace & slashes
							if new_olid.count("""/"""					) != 1:
														__lowercase					:							Tuple			=   F"{olid} is not a valid Open Library olid"
														raise ValueError(_lowercase					)
							return requests.get(F"https://openlibrary.org/{new_olid}.json"					).json()
def 					snake_case_						(   lowerCAmelCase_				:  str					):
							__lowercase					:							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)''',
							}
							__lowercase					:							Optional[Any]			=   {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
							__lowercase					:							Any			=   [
							    get_openlibrary_data(author["""key"""]					)['''name'''] for author in data['''Authors''']
							]
							__lowercase					:							Optional[Any]			=   data['''First sentence''']['''value''']
							for key, value in data.items():
														if isinstance(_lowercase				,				_lowercase					):
																					__lowercase					:							Optional[Any]			=   ''', '''.join(_lowercase					)
							return data


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	while True:
		lowerCamelCase       :       Optional[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:
			lowerCamelCase       :       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}.''')
from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
					import tensorflow as tf

					from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM





@require_tf
@require_sentencepiece
@require_tokenizers
class 					lowercase__						(   unittest.TestCase):


						@slow
						def        __A       (       self	:				Union[str, Any]						):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:    Any							=							TFAutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''						)
												SCREAMING_SNAKE_CASE							:    List[str]							=							AutoTokenizer.from_pretrained('''google/mt5-small'''						)

												SCREAMING_SNAKE_CASE							:    Optional[int]							=							tokenizer('''Hello there'''    ,		return_tensors='''tf'''						).input_ids
												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							tokenizer('''Hi I am'''    ,		return_tensors='''tf'''						).input_ids

												SCREAMING_SNAKE_CASE							:    List[Any]							=							model(UpperCamelCase__    ,		labels=UpperCamelCase__						).loss
												SCREAMING_SNAKE_CASE							:    int							=							-tf.math.reduce_mean(UpperCamelCase__						).numpy()

												SCREAMING_SNAKE_CASE							:    List[str]							=							-21.22_8168
												self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 2E-4						)





