



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_snake_case		=  logging.get_logger(__name__)

_snake_case		=  {
    "microsoft/beit-base-patch16-224-pt22k": (
        "https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}



class   UpperCAmelCase_    (       a):
							lowerCamelCase__   			=		'beit'







							def __init__(   self,			__a=8192,			__a=768,			__a=12,			__a=12,			__a=3072,			__a="gelu",			__a=0.0,			__a=0.0,			__a=0.02,			__a=1E-12,			__a=224,			__a=16,			__a=3,			__a=False,			__a=False,			__a=False,			__a=False,			__a=0.1,			__a=0.1,			__a=True,			__a=[3, 5, 7, 11],			__a=[1, 2, 3, 6],			__a=True,			__a=0.4,			__a=256,			__a=1,			__a=False,			__a=255,			**__a,			):

														'''simple docstring'''

														super().__init__(**__a)

														_lowerCAmelCase     :							str    =    vocab_size
														_lowerCAmelCase     :							Tuple    =    hidden_size
														_lowerCAmelCase     :							Optional[int]    =    num_hidden_layers
														_lowerCAmelCase     :							Tuple    =    num_attention_heads
														_lowerCAmelCase     :							str    =    intermediate_size
														_lowerCAmelCase     :							Optional[Any]    =    hidden_act
														_lowerCAmelCase     :							Tuple    =    hidden_dropout_prob
														_lowerCAmelCase     :							Dict    =    attention_probs_dropout_prob
														_lowerCAmelCase     :							Any    =    initializer_range
														_lowerCAmelCase     :							List[str]    =    layer_norm_eps

														_lowerCAmelCase     :							Dict    =    image_size
														_lowerCAmelCase     :							int    =    patch_size
														_lowerCAmelCase     :							str    =    num_channels
														_lowerCAmelCase     :							List[Any]    =    use_mask_token
														_lowerCAmelCase     :							List[Any]    =    use_absolute_position_embeddings
														_lowerCAmelCase     :							List[str]    =    use_relative_position_bias
														_lowerCAmelCase     :							Tuple    =    use_shared_relative_position_bias
														_lowerCAmelCase     :							Any    =    layer_scale_init_value
														_lowerCAmelCase     :							Optional[Any]    =    drop_path_rate
														_lowerCAmelCase     :							Any    =    use_mean_pooling
														# decode head attributes (semantic segmentation)
														_lowerCAmelCase     :							Any    =    out_indices
														_lowerCAmelCase     :							List[str]    =    pool_scales
														# auxiliary head attributes (semantic segmentation)
														_lowerCAmelCase     :							Any    =    use_auxiliary_head
														_lowerCAmelCase     :							List[Any]    =    auxiliary_loss_weight
														_lowerCAmelCase     :							List[Any]    =    auxiliary_channels
														_lowerCAmelCase     :							Union[str, Any]    =    auxiliary_num_convs
														_lowerCAmelCase     :							Optional[Any]    =    auxiliary_concat_input
														_lowerCAmelCase     :							Union[str, Any]    =    semantic_loss_ignore_index



class   UpperCAmelCase_    (       a):
							lowerCamelCase__   			=		version.parse('1.11')







							@property
							def    snake_case__      (   self):

														'''simple docstring'''

														return OrderedDict(
														    [
														        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
														    ])







							@property
							def    snake_case__      (   self):

														'''simple docstring'''

														return 1E-4







"""simple docstring"""





from __future__ import annotations


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						str			):







      '''simple docstring'''




      return [ord(SCREAMING_SNAKE_CASE			) - 96 for elem in plain]


def 			UpperCAmelCase__							(  SCREAMING_SNAKE_CASE     :						list[int]			):







      '''simple docstring'''




      return "".join(chr(elem + 96			) for elem in encoded			)


def 			UpperCAmelCase__							(  ):







      '''simple docstring'''




      lowerCAmelCase  						=       encode(input("""-> """			).strip().lower()			)
      print("""Encoded: """							,						SCREAMING_SNAKE_CASE			)
      print("""Decoded:"""							,						decode(SCREAMING_SNAKE_CASE			)			)


if __name__ == "__main__":
       main()






