


'''simple docstring'''



import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A__						:   Any				=    get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")





class   UpperCAmelCase_    (_UpperCAmelCase   ,						unittest.TestCase    ):





    """simple docstring"""






    lowerCamelCase    :   Any					=     BartphoTokenizer
    lowerCamelCase    :   Union[str, Any]					=     False
    lowerCamelCase    :   Optional[int]					=     True







    def  lowercase_							(				self      )							->	Optional[Any]:
         super().setUp()

         __lowerCamelCase  :      Any														=						['▁This', '▁is', '▁a', '▁t', 'est']
         __lowerCamelCase  :      List[Any]														=						dict(zip(SCREAMING_SNAKE_CASE_     ,	range(len(SCREAMING_SNAKE_CASE_      )      )      )      )
         __lowerCamelCase  :      Tuple														=						{'unk_token': '<unk>'}

         __lowerCamelCase  :      Any														=						os.path.join(self.tmpdirname     ,	VOCAB_FILES_NAMES['monolingual_vocab_file']      )
         with open(self.monolingual_vocab_file     ,	'w'     ,	encoding='utf-8'      ) as fp:
              for token in vocab_tokens:
                   fp.write(f'{token} {vocab_tokens[token]}\n'      )

         __lowerCamelCase  :      List[Any]														=						BartphoTokenizer(SCREAMING_SNAKE_CASE_     ,	self.monolingual_vocab_file     ,	**self.special_tokens_map      )
         tokenizer.save_pretrained(self.tmpdirname      )







    def  lowercase_							(				self     ,	**SCREAMING_SNAKE_CASE_      )							->	List[Any]:
         kwargs.update(self.special_tokens_map      )
         return BartphoTokenizer.from_pretrained(self.tmpdirname     ,	**SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_      )							->	Any:
         __lowerCamelCase  :      Any														=						'This is a là test'
         __lowerCamelCase  :      str														=						'This is a<unk><unk> test'
         return input_text, output_text







    def  lowercase_							(				self      )							->	Tuple:
         __lowerCamelCase  :      Any														=						BartphoTokenizer(SCREAMING_SNAKE_CASE_     ,	self.monolingual_vocab_file     ,	**self.special_tokens_map      )
         __lowerCamelCase  :      Any														=						'This is a là test'
         __lowerCamelCase  :      Tuple														=						'▁This ▁is ▁a ▁l à ▁t est'.split()
         __lowerCamelCase  :      Optional[Any]														=						tokenizer.tokenize(SCREAMING_SNAKE_CASE_      )
         self.assertListEqual(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )

         __lowerCamelCase  :      str														=						tokens + [tokenizer.unk_token]
         __lowerCamelCase  :      Tuple														=						[4, 5, 6, 3, 3, 7, 8, 3]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_      )     ,	SCREAMING_SNAKE_CASE_      )








"""simple docstring"""




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

import requests



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



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


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						while True:
												lowerCAmelCase__				=					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__				=					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}.''')