



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


lowercase_						=			logging.get_logger(__name__)

lowercase_						=			{
    """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 			_snake_case     (   _UpperCAmelCase):
				UpperCamelCase__			:   Optional[Any]       						="beit"




				def __init__(  self   :  Any,   __lowercase   :  List[Any]=8192,   __lowercase   :  Tuple=768,   __lowercase   :  Union[str, Any]=12,   __lowercase   :  str=12,   __lowercase   :  int=3072,   __lowercase   :  Tuple="gelu",   __lowercase   :  Any=0.0,   __lowercase   :  Optional[int]=0.0,   __lowercase   :  List[str]=0.02,   __lowercase   :  Dict=1e-1_2,   __lowercase   :  Optional[int]=224,   __lowercase   :  str=16,   __lowercase   :  List[Any]=3,   __lowercase   :  Optional[Any]=False,   __lowercase   :  Tuple=False,   __lowercase   :  Optional[int]=False,   __lowercase   :  Optional[Any]=False,   __lowercase   :  Optional[int]=0.1,   __lowercase   :  List[Any]=0.1,   __lowercase   :  Union[str, Any]=True,   __lowercase   :  List[str]=[3, 5, 7, 11],   __lowercase   :  List[Any]=[1, 2, 3, 6],   __lowercase   :  Tuple=True,   __lowercase   :  List[Any]=0.4,   __lowercase   :  str=256,   __lowercase   :  Union[str, Any]=1,   __lowercase   :  Union[str, Any]=False,   __lowercase   :  Optional[Any]=255,   **__lowercase   :  Any,   ):
							super().__init__(**_UpperCAmelCase  )

							lowercase__   					=			vocab_size
							lowercase__   					=			hidden_size
							lowercase__   					=			num_hidden_layers
							lowercase__   					=			num_attention_heads
							lowercase__   					=			intermediate_size
							lowercase__   					=			hidden_act
							lowercase__   					=			hidden_dropout_prob
							lowercase__   					=			attention_probs_dropout_prob
							lowercase__   					=			initializer_range
							lowercase__   					=			layer_norm_eps

							lowercase__   					=			image_size
							lowercase__   					=			patch_size
							lowercase__   					=			num_channels
							lowercase__   					=			use_mask_token
							lowercase__   					=			use_absolute_position_embeddings
							lowercase__   					=			use_relative_position_bias
							lowercase__   					=			use_shared_relative_position_bias
							lowercase__   					=			layer_scale_init_value
							lowercase__   					=			drop_path_rate
							lowercase__   					=			use_mean_pooling
							# decode head attributes (semantic segmentation)
							lowercase__   					=			out_indices
							lowercase__   					=			pool_scales
							# auxiliary head attributes (semantic segmentation)
							lowercase__   					=			use_auxiliary_head
							lowercase__   					=			auxiliary_loss_weight
							lowercase__   					=			auxiliary_channels
							lowercase__   					=			auxiliary_num_convs
							lowercase__   					=			auxiliary_concat_input
							lowercase__   					=			semantic_loss_ignore_index
class 			_snake_case     (   _UpperCAmelCase):
				UpperCamelCase__			:   Dict       						=version.parse("""1.11""")




				@property
				def 							A__ (  self   :  Optional[Any]  ):
							return OrderedDict(
							    [
							        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
							    ]  )




				@property
				def 							A__ (  self   :  str  ):
							return 1e-4









from __future__ import annotations

from typing import TypedDict
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   str
				UpperCamelCase__			:   int



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter s type must be str."					)

			return [s[i:] + s[:i] for i in range(len(SCREAMING_SNAKE_CASE_					)					)]



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter s type must be str."					)
			if not s:
						raise ValueError("The parameter s must not be empty."					)

			lowercase__   					=			all_rotations(SCREAMING_SNAKE_CASE_					)
			rotations.sort()  # sort the list of rotations in alphabetically order
			# make a string composed of the last char of each rotation
			lowercase__   					=			{
			    "bwt_string": "".join([word[-1] for word in rotations]					),
			    "idx_original_string": rotations.index(SCREAMING_SNAKE_CASE_					),
			}
			return response



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			if not isinstance(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						raise TypeError("The parameter bwt_string type must be str."					)
			if not bwt_string:
						raise ValueError("The parameter bwt_string must not be empty."					)
			try:
						lowercase__   					=			int(SCREAMING_SNAKE_CASE_					)
			except ValueError:
						raise TypeError(
						    "The parameter idx_original_string type must be int or passive"
						    " of cast to int."					)
			if idx_original_string < 0:
						raise ValueError("The parameter idx_original_string must not be lower than 0."					)
			if idx_original_string >= len(SCREAMING_SNAKE_CASE_					):
						raise ValueError(
						    "The parameter idx_original_string must be lower than" " len(bwt_string)."					)

			lowercase__   					=			[""] * len(SCREAMING_SNAKE_CASE_					)
			for _ in range(len(SCREAMING_SNAKE_CASE_					)					):
						for i in range(len(SCREAMING_SNAKE_CASE_					)					):
									lowercase__   					=			bwt_string[i] + ordered_rotations[i]
						ordered_rotations.sort()
			return ordered_rotations[idx_original_string]


if __name__ == "__main__":
							lowercase_						=       """Provide a string that I will generate its BWT transform: """
							lowercase_						=       input(entry_msg).strip()
							lowercase_						=       bwt_transform(s)
							print(
							    F'Burrows Wheeler transform for string \'{s}\' results '
							    F'in \'{result["bwt_string"]}\''
							)
							lowercase_						=       reverse_bwt(result["""bwt_string"""], result["""idx_original_string"""])
							print(
							    F'Reversing Burrows Wheeler transform for entry \'{result["bwt_string"]}\' '
							    F'we get original string \'{original_string}\''
							)




