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


__lowerCamelCase      :			Any							       =		logging.get_logger(__name__)

__lowerCamelCase      :			List[Any]							       =		{
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class __snake_case    (						lowerCamelCase_		):
   lowerCAmelCase_														=							"canine"




   def __init__(   self      :    Tuple	,     _lowercase      :    Tuple=7_68	,     _lowercase      :    List[Any]=12	,     _lowercase      :    Optional[int]=12	,     _lowercase      :    Union[str, Any]=30_72	,     _lowercase      :    Dict="gelu"	,     _lowercase      :    Optional[int]=0.1	,     _lowercase      :    int=0.1	,     _lowercase      :    str=1_63_84	,     _lowercase      :    Dict=16	,     _lowercase      :    List[Any]=0.02	,     _lowercase      :    Optional[int]=1E-12	,     _lowercase      :    int=0	,     _lowercase      :    Dict=0Xe_0_0_0	,     _lowercase      :    Optional[int]=0Xe_0_0_1	,     _lowercase      :    str=4	,     _lowercase      :    List[str]=4	,     _lowercase      :    Any=8	,     _lowercase      :    List[Any]=1_63_84	,     _lowercase      :    Union[str, Any]=1_28	,     **_lowercase      :    str	,     ):



     """simple docstring"""






     super().__init__(pad_token_id=_lowercase	,     bos_token_id=_lowercase	,     eos_token_id=_lowercase	,     **_lowercase				)

     SCREAMING_SNAKE_CASE__      							=				max_position_embeddings
     SCREAMING_SNAKE_CASE__      							=				hidden_size
     SCREAMING_SNAKE_CASE__      							=				num_hidden_layers
     SCREAMING_SNAKE_CASE__      							=				num_attention_heads
     SCREAMING_SNAKE_CASE__      							=				intermediate_size
     SCREAMING_SNAKE_CASE__      							=				hidden_act
     SCREAMING_SNAKE_CASE__      							=				hidden_dropout_prob
     SCREAMING_SNAKE_CASE__      							=				attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE__      							=				initializer_range
     SCREAMING_SNAKE_CASE__      							=				type_vocab_size
     SCREAMING_SNAKE_CASE__      							=				layer_norm_eps

     # Character config:
     SCREAMING_SNAKE_CASE__      							=				downsampling_rate
     SCREAMING_SNAKE_CASE__      							=				upsampling_kernel_size
     SCREAMING_SNAKE_CASE__      							=				num_hash_functions
     SCREAMING_SNAKE_CASE__      							=				num_hash_buckets
     SCREAMING_SNAKE_CASE__      							=				local_transformer_stride

import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


__lowerCamelCase      :			str							       =		logging.get_logger(__name__)







class __snake_case    (						lowerCamelCase_		):




   def __init__(   self      :    List[str]	,     *_lowercase      :    Union[str, Any]	,     **_lowercase      :    Union[str, Any]				):



     """simple docstring"""






     warnings.warn(
         """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
         """ use DonutImageProcessor instead."""	,     _lowercase	,     )
     super().__init__(*_lowercase	,     **_lowercase				)
