





'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case_  :							Union[str, Any]            =	logging.get_logger(__name__)

snake_case_  :							Optional[Any]            =	{
    "google/reformer-crime-and-punishment": (
        "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"
    ),
    "google/reformer-enwik8": "https://huggingface.co/google/reformer-enwik8/resolve/main/config.json",
}


class        __a   (lowerCamelCase  ):
							__a       : Tuple          =							"reformer"
							__a       : str          =							["past_buckets_states"]
							__a       : str          =							{}

							def __init__(				self				:  Union[str, Any]							,  __magic_name__				:  List[str]=64							,  __magic_name__				:  Any=["local", "lsh", "local", "lsh", "local", "lsh"]							,  __magic_name__				:  Optional[int]=1.0							,  __magic_name__				:  Dict=True							,  __magic_name__				:  List[str]=[64, 64]							,  __magic_name__				:  Optional[int]=[64, 1_92]							,  __magic_name__				:  Union[str, Any]=0							,  __magic_name__				:  Dict=2							,  __magic_name__				:  List[str]=5_12							,  __magic_name__				:  List[Any]=None							,  __magic_name__				:  Optional[int]="relu"							,  __magic_name__				:  Dict=0.0_5							,  __magic_name__				:  int=2_56							,  __magic_name__				:  List[Any]=0.0_2							,  __magic_name__				:  Optional[Any]=False							,  __magic_name__				:  Any=1E-12							,  __magic_name__				:  Any=1							,  __magic_name__				:  int=0							,  __magic_name__				:  int=0.0_5							,  __magic_name__				:  List[Any]=64							,  __magic_name__				:  List[str]=64							,  __magic_name__				:  Optional[int]=0.0							,  __magic_name__				:  str=1							,  __magic_name__				:  Union[str, Any]=0							,  __magic_name__				:  Union[str, Any]=40_96							,  __magic_name__				:  int=12							,  __magic_name__				:  Optional[int]=None							,  __magic_name__				:  Optional[Any]=1							,  __magic_name__				:  int=0							,  __magic_name__				:  Tuple=3_20							,  __magic_name__				:  int=False							,  __magic_name__				:  int=True							,  __magic_name__				:  Optional[int]=None							,  **__magic_name__				:  List[str]							,  )       ->							List[str]:







													"""simple docstring"""
													UpperCAmelCase_      :   List[Any]      =	hash_seed
													UpperCAmelCase_      :   int      =	vocab_size
													UpperCAmelCase_      :   Optional[int]      =	attention_head_size
													UpperCAmelCase_      :   Any      =	hidden_size
													UpperCAmelCase_      :   Union[str, Any]      =	num_attention_heads
													UpperCAmelCase_      :   Dict      =	num_hashes
													UpperCAmelCase_      :   Union[str, Any]      =	len(__magic_name__ )
													UpperCAmelCase_      :   Dict      =	tuple(__magic_name__ ) if isinstance(__magic_name__							,  __magic_name__ ) else num_buckets
													UpperCAmelCase_      :   Union[str, Any]      =	lsh_attn_chunk_length
													UpperCAmelCase_      :   Tuple      =	local_attn_chunk_length
													UpperCAmelCase_      :   int      =	lsh_num_chunks_after
													UpperCAmelCase_      :   List[Any]      =	lsh_num_chunks_before
													UpperCAmelCase_      :   Union[str, Any]      =	local_num_chunks_after
													UpperCAmelCase_      :   str      =	local_num_chunks_before
													UpperCAmelCase_      :   List[Any]      =	hidden_act
													UpperCAmelCase_      :   Optional[Any]      =	feed_forward_size
													UpperCAmelCase_      :   Union[str, Any]      =	hidden_dropout_prob
													UpperCAmelCase_      :   int      =	lsh_attention_probs_dropout_prob
													UpperCAmelCase_      :   List[Any]      =	local_attention_probs_dropout_prob
													UpperCAmelCase_      :   Union[str, Any]      =	max_position_embeddings
													UpperCAmelCase_      :   Tuple      =	initializer_range
													UpperCAmelCase_      :   Optional[int]      =	layer_norm_eps
													UpperCAmelCase_      :   Optional[Any]      =	axial_pos_embds
													UpperCAmelCase_      :   Union[str, Any]      =	tuple(__magic_name__ )
													UpperCAmelCase_      :   str      =	tuple(__magic_name__ )
													UpperCAmelCase_      :   str      =	axial_norm_std
													UpperCAmelCase_      :   int      =	chunk_size_lm_head
													UpperCAmelCase_      :   List[str]      =	attn_layers
													UpperCAmelCase_      :   List[Any]      =	use_cache
													UpperCAmelCase_      :   Optional[Any]      =	classifier_dropout
													super().__init__(
													    pad_token_id=__magic_name__							,  eos_token_id=__magic_name__							,  is_decoder=__magic_name__							,  tie_word_embeddings=__magic_name__							,  **__magic_name__							,  )












"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


lowerCamelCase_	:		List[str]         =   logging.get_logger(__name__)

class 					_UpperCAmelCase    (  UpperCAmelCase__						):



      '''simple docstring'''

      def __init__(	self   , *snake_case_   , **snake_case_    ):

        """simple docstring"""

        warnings.warn(
            'The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use DetrImageProcessor instead.'   , snake_case_   , )
        super().__init__(*snake_case_   , **snake_case_    )