



'''simple docstring'''





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

import requests



def    snake_case_				(    _SCREAMING_SNAKE_CASE = "isbn/0140328726"   ):
	__lowercase		       =			olid.strip().strip("/"   )  # Remove leading/trailing whitespace & slashes
	if new_olid.count("/"   ) != 1:
		__lowercase		       =			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    snake_case_				(    _SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			{
	    '''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		       =			{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
	__lowercase		       =			[
	    get_openlibrary_data(author["key"]   )['''name'''] for author in data['''Authors''']
	]
	__lowercase		       =			data['''First sentence''']['''value''']
	for key, value in data.items():
		if isinstance(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
			__lowercase		       =			''', '''.join(_SCREAMING_SNAKE_CASE   )
	return data


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	while True:
		snake_case__					:     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:
			snake_case__					:     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 ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


snake_case__					:     Any    		=   logging.get_logger(__name__)

class   _A   ( _lowercase  ,						_lowercase	):


						'''simple docstring'''





						_snake_case			:     Dict      							=      """maskformer-swin"""

						_snake_case			:     List[str]      							=      {
						    """num_attention_heads""": """num_heads""",
						    """num_hidden_layers""": """num_layers""",
						}



						def __init__(	self	:							List[str]							,      lowerCamelCase	:							Any=224							,      lowerCamelCase	:							Optional[Any]=4							,      lowerCamelCase	:							Dict=3							,      lowerCamelCase	:							Tuple=96							,      lowerCamelCase	:							str=[2, 2, 6, 2]							,      lowerCamelCase	:							Dict=[3, 6, 12, 24]							,      lowerCamelCase	:							Optional[Any]=7							,      lowerCamelCase	:							Any=4.0							,      lowerCamelCase	:							Union[str, Any]=True							,      lowerCamelCase	:							List[str]=0.0							,      lowerCamelCase	:							Optional[int]=0.0							,      lowerCamelCase	:							List[str]=0.1							,      lowerCamelCase	:							int="gelu"							,      lowerCamelCase	:							Optional[int]=False							,      lowerCamelCase	:							List[Any]=0.02							,      lowerCamelCase	:							Tuple=1e-5							,      lowerCamelCase	:							Dict=None							,      lowerCamelCase	:							Dict=None							,      **lowerCamelCase	:							int							,      ):






							'''simple docstring'''



							super().__init__(**lowerCamelCase	)

							__lowercase		       =			image_size
							__lowercase		       =			patch_size
							__lowercase		       =			num_channels
							__lowercase		       =			embed_dim
							__lowercase		       =			depths
							__lowercase		       =			len(lowerCamelCase	)
							__lowercase		       =			num_heads
							__lowercase		       =			window_size
							__lowercase		       =			mlp_ratio
							__lowercase		       =			qkv_bias
							__lowercase		       =			hidden_dropout_prob
							__lowercase		       =			attention_probs_dropout_prob
							__lowercase		       =			drop_path_rate
							__lowercase		       =			hidden_act
							__lowercase		       =			use_absolute_embeddings
							__lowercase		       =			layer_norm_eps
							__lowercase		       =			initializer_range
							# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
							# this indicates the channel dimension after the last stage of the model
							__lowercase		       =			int(embed_dim * 2 ** (len(lowerCamelCase	) - 1)	)
							__lowercase		       =			["stem"] + [f"""stage{idx}""" for idx in range(1							,      len(lowerCamelCase	) + 1	)]
							__lowercase       ,    __lowercase		       =			get_aligned_output_features_output_indices(
							    out_features=lowerCamelCase							,      out_indices=lowerCamelCase							,      stage_names=self.stage_names	)



