
"""simple docstring"""


import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict







@dataclass
class 				lowerCAmelCase_				(      _lowercase    ):



						'''simple docstring'''


						_lowerCamelCase:    Any      =    ComputeEnvironment.AMAZON_SAGEMAKER
						_lowerCamelCase:    List[str]      =    True
						_lowerCamelCase:    int      =    '''ml.p3.2xlarge'''
						_lowerCamelCase:    Optional[int]      =    '''accelerate_sagemaker_execution_role'''
						_lowerCamelCase:    int      =    '''hf-sm'''
						_lowerCamelCase:    Dict      =    '''us-east-1'''
						_lowerCamelCase:    int      =    1
						_lowerCamelCase:    str      =    '''accelerate-sagemaker-1'''
						_lowerCamelCase:    Union[str, Any]      =    '''1.6'''
						_lowerCamelCase:    Union[str, Any]      =    '''4.4'''
						_lowerCamelCase:    Any      =    '''train.py'''
						_lowerCamelCase:    str      =    [
						    '''--model_name_or_path''',
						    '''bert''',
						    '''--do_train''',
						    '''False''',
						    '''--epochs''',
						    '''3''',
						    '''--learning_rate''',
						    '''5e-5''',
						    '''--max_steps''',
						    '''50.5''',
						]
						_lowerCamelCase:    Union[str, Any]      =    [
						    '''--model_name_or_path''',
						    '''bert''',
						    '''--do_train''',
						    '''--do_test''',
						    '''False''',
						    '''--do_predict''',
						    '''--epochs''',
						    '''3''',
						    '''--learning_rate''',
						    '''5e-5''',
						    '''--max_steps''',
						    '''50.5''',
						]







class 				lowerCAmelCase_				(      unittest.TestCase    ):



						'''simple docstring'''


						def 						_SCREAMING_SNAKE_CASE      ( self     :      Tuple      )     ->   List[str]:
							# If no defaults are changed, `to_kwargs` returns an empty dict.
							A						   =   _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args      )
							assert isinstance(converted_args['model_name_or_path']  ,A_      )
							assert isinstance(converted_args['do_train']  ,A_      )
							assert isinstance(converted_args['epochs']  ,A_      )
							assert isinstance(converted_args['learning_rate']  ,A_      )
							assert isinstance(converted_args['max_steps']  ,A_      )

							with pytest.raises(A_      ):
								_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args      )

"""simple docstring"""


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

import requests






def       _snake_case				(		snake_case__   :     str = "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(snake_case__     )
	return requests.get(F'https://openlibrary.org/{new_olid}.json'     ).json()






def       _snake_case				(		snake_case__   :     dict     ):
	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(snake_case__	,      snake_case__     ):
			A						   =   ', '.join(snake_case__     )
	return data


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		while True:
				_lowercase							   =				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:
						_lowercase							   =				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}.""")