


'''simple docstring'''



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

import requests






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   str = "isbn/0140328726"   ):
					__a			:       List[str]					    =  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(_SCREAMING_SNAKE_CASE   )
					return requests.get(F"""https://openlibrary.org/{new_olid}.json"""   ).json()






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   dict   ):
					__a			:       List[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			:       Tuple					    =  {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
					__a			:       Union[str, Any]					    =  [
					    get_openlibrary_data(author['key']   )['name'] for author in data['Authors']
					]
					__a			:       Any					    =  data['First sentence']['value']
					for key, value in data.items():
										if isinstance(_SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE   ):
															__a			:       str					    =  ', '.join(_SCREAMING_SNAKE_CASE   )
					return data


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	while True:
		__lowercase	:						Optional[int]       =	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	:						List[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}.''')







'''simple docstring'''



import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment





@require_huggingface_suite
class 							__UpperCamelCase				(		unittest.TestCase					):




	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						__a			:       List[Any]					    =  inspect.getfile(accelerate.test_utils							)
						__a			:       List[str]					    =  os.path.sep.join(
						    mod_file.split(os.path.sep							)[:-1] + ['scripts', 'external_deps', 'test_metrics.py']							)

						from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

						__a			:       Union[str, Any]					    =  test_metrics




	@require_cpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						debug_launcher(self.test_metrics.main						,				num_processes=1							)




	@require_cpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						debug_launcher(self.test_metrics.main							)




	@require_single_gpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						self.test_metrics.main()





	@require_multi_gpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						print(f"""Found {torch.cuda.device_count()} devices."""							)
						__a			:       List[Any]					    =  ['torchrun', f"""--nproc_per_node={torch.cuda.device_count()}""", self.test_file_path]
						with patch_environment(omp_num_threads=1							):
											execute_subprocess_async(__a						,				env=os.environ.copy()							)



