
from typing import List, Union

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


__SCREAMING_SNAKE_CASE     :				Dict             =       logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :				Tuple             =       {
    'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/config.json',
    # See all LED models at https://huggingface.co/models?filter=led
}


class 						__magic_name__				(  snake_case      ):
		_lowerCAmelCase						=		"led"
		_lowerCAmelCase						=		{
		    "num_attention_heads": "encoder_attention_heads",
		    "hidden_size": "d_model",
		    "attention_probs_dropout_prob": "attention_dropout",
		    "initializer_range": "init_std",
		}





		def __init__(							self      :		Optional[int]  ,					lowerCamelCase__      :		str=5_0_2_6_5  ,					lowerCamelCase__      :		List[Any]=1_6_3_8_4  ,					lowerCamelCase__      :		List[Any]=1_0_2_4  ,					lowerCamelCase__      :		Dict=1_2  ,					lowerCamelCase__      :		str=4_0_9_6  ,					lowerCamelCase__      :		int=1_6  ,					lowerCamelCase__      :		Optional[int]=1_2  ,					lowerCamelCase__      :		Optional[Any]=4_0_9_6  ,					lowerCamelCase__      :		Optional[Any]=1_6  ,					lowerCamelCase__      :		Tuple=0.0  ,					lowerCamelCase__      :		Any=0.0  ,					lowerCamelCase__      :		int=True  ,					lowerCamelCase__      :		List[Any]=True  ,					lowerCamelCase__      :		int="gelu"  ,					lowerCamelCase__      :		Dict=1_0_2_4  ,					lowerCamelCase__      :		Dict=0.1  ,					lowerCamelCase__      :		List[Any]=0.0  ,					lowerCamelCase__      :		List[str]=0.0  ,					lowerCamelCase__      :		Dict=0.0_2  ,					lowerCamelCase__      :		List[str]=2  ,					lowerCamelCase__      :		str=0.0  ,					lowerCamelCase__      :		str=1  ,					lowerCamelCase__      :		str=0  ,					lowerCamelCase__      :		Union[str, Any]=2  ,					lowerCamelCase__      :		Union[List[int], int] = 5_1_2  ,					**lowerCamelCase__      :		Union[str, Any]  ,					):
							lowerCAmelCase						:   Union[str, Any]							=       vocab_size
							lowerCAmelCase						:   str							=       max_encoder_position_embeddings
							lowerCAmelCase						:   Dict							=       max_decoder_position_embeddings
							lowerCAmelCase						:   int							=       d_model
							lowerCAmelCase						:   Optional[int]							=       encoder_ffn_dim
							lowerCAmelCase						:   Dict							=       encoder_layers
							lowerCAmelCase						:   List[str]							=       encoder_attention_heads
							lowerCAmelCase						:   List[str]							=       decoder_ffn_dim
							lowerCAmelCase						:   Optional[int]							=       decoder_layers
							lowerCAmelCase						:   str							=       decoder_attention_heads
							lowerCAmelCase						:   Optional[Any]							=       dropout
							lowerCAmelCase						:   Dict							=       attention_dropout
							lowerCAmelCase						:   Dict							=       activation_dropout
							lowerCAmelCase						:   Optional[Any]							=       activation_function
							lowerCAmelCase						:   int							=       init_std
							lowerCAmelCase						:   List[Any]							=       encoder_layerdrop
							lowerCAmelCase						:   Any							=       decoder_layerdrop
							lowerCAmelCase						:   List[Any]							=       classifier_dropout
							lowerCAmelCase						:   Dict							=       use_cache
							lowerCAmelCase						:   str							=       encoder_layers
							lowerCAmelCase						:   Optional[Any]							=       attention_window

							super().__init__(
							    pad_token_id=lowerCamelCase__  ,					bos_token_id=lowerCamelCase__  ,					eos_token_id=lowerCamelCase__  ,					is_encoder_decoder=lowerCamelCase__  ,					decoder_start_token_id=lowerCamelCase__  ,					**lowerCamelCase__  ,					)


import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


__SCREAMING_SNAKE_CASE     :				List[Any]             =       logging.get_logger(__name__)


class 						__magic_name__				(  snake_case      ):





		def __init__(							self      :		str  ,					*lowerCamelCase__      :		Dict  ,					**lowerCamelCase__      :		int			):
							warnings.warn(
							    '''The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use ConditionalDetrImageProcessor instead.'''  ,					lowerCamelCase__  ,					)
							super().__init__(*lowerCamelCase__  ,					**lowerCamelCase__			)
