



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCamelCase__			= logging.get_logger(__name__)

lowerCamelCase__			= {
    """shi-labs/dinat-mini-in1k-224""": """https://huggingface.co/shi-labs/dinat-mini-in1k-224/resolve/main/config.json""",
    # See all Dinat models at https://huggingface.co/models?filter=dinat
}






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__			,      lowerCamelCase__					):
							__lowerCamelCase	:	Optional[Any]    ='dinat'

							__lowerCamelCase	:	List[Any]    ={
							    'num_attention_heads': 'num_heads',
							    'num_hidden_layers': 'num_layers',
							}





							def __init__(   self		:		Union[str, Any]      ,				__lowercase		:		Tuple=4      ,				__lowercase		:		List[Any]=3      ,				__lowercase		:		List[Any]=64      ,				__lowercase		:		int=[3, 4, 6, 5]      ,				__lowercase		:		Optional[int]=[2, 4, 8, 16]      ,				__lowercase		:		Any=7      ,				__lowercase		:		Tuple=[[1, 8, 1], [1, 4, 1, 4], [1, 2, 1, 2, 1, 2], [1, 1, 1, 1, 1]]      ,				__lowercase		:		List[str]=3.0      ,				__lowercase		:		Tuple=True      ,				__lowercase		:		Any=0.0      ,				__lowercase		:		Optional[int]=0.0      ,				__lowercase		:		Dict=0.1      ,				__lowercase		:		int="gelu"      ,				__lowercase		:		Union[str, Any]=0.02      ,				__lowercase		:		List[Any]=1E-5      ,				__lowercase		:		Tuple=0.0      ,				__lowercase		:		str=None      ,				__lowercase		:		int=None      ,				**__lowercase		:		List[str]      ,				):

											'''simple docstring'''
											super().__init__(**__lowercase	)

											__a       =		patch_size
											__a       =		num_channels
											__a       =		embed_dim
											__a       =		depths
											__a       =		len(__lowercase	)
											__a       =		num_heads
											__a       =		kernel_size
											__a       =		dilations
											__a       =		mlp_ratio
											__a       =		qkv_bias
											__a       =		hidden_dropout_prob
											__a       =		attention_probs_dropout_prob
											__a       =		drop_path_rate
											__a       =		hidden_act
											__a       =		layer_norm_eps
											__a       =		initializer_range
											# we set the hidden_size attribute in order to make Dinat work with VisionEncoderDecoderModel
											# this indicates the channel dimension after the last stage of the model
											__a       =		int(embed_dim * 2 ** (len(__lowercase	) - 1)	)
											__a       =		layer_scale_init_value
											__a       =		["""stem"""] + [F"stage{idx}" for idx in range(1      ,				len(__lowercase	) + 1	)]
											__a     ,					__a       =		get_aligned_output_features_output_indices(
											    out_features=__lowercase      ,				out_indices=__lowercase      ,				stage_names=self.stage_names	)





import itertools
import string
from collections.abc import Generator, Iterable

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Iterable[str]				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				__a       =		iter(_SCREAMING_SNAKE_CASE    )
				while True:
								__a       =		tuple(itertools.islice(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )    )
								if not chunk:
												return
								yield chunk

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		"""""".join([c.upper() for c in dirty if c in string.ascii_letters]    )
				__a       =		""""""

				if len(_SCREAMING_SNAKE_CASE    ) < 2:
								return dirty

				for i in range(len(_SCREAMING_SNAKE_CASE    ) - 1    ):
								clean += dirty[i]

								if dirty[i] == dirty[i + 1]:
												clean += "X"

				clean += dirty[-1]

				if len(_SCREAMING_SNAKE_CASE    ) & 1:
								clean += "X"

				return clean

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		"""ABCDEFGHIKLMNOPQRSTUVWXYZ"""
				# we're using a list instead of a '2d' array because it makes the math
				# for setting up the table and doing the actual encoding/decoding simpler
				__a       =		[]

				# copy key chars into the table if they are in `alphabet` ignoring duplicates
				for char in key.upper():
								if char not in table and char in alphabet:
												table.append(_SCREAMING_SNAKE_CASE    )

    # fill the rest of the table in with the remaining alphabet chars
				for char in alphabet:
								if char not in table:
												table.append(_SCREAMING_SNAKE_CASE    )

				return table

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		generate_table(_SCREAMING_SNAKE_CASE    )
				__a       =		prepare_input(_SCREAMING_SNAKE_CASE    )
				__a       =		""""""

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(_SCREAMING_SNAKE_CASE				,     2    ):
								__a     ,					__a       =		divmod(table.index(_SCREAMING_SNAKE_CASE    )				,     5    )
								__a     ,					__a       =		divmod(table.index(_SCREAMING_SNAKE_CASE    )				,     5    )

								if rowa == rowa:
												ciphertext += table[rowa * 5 + (cola + 1) % 5]
												ciphertext += table[rowa * 5 + (cola + 1) % 5]
								elif cola == cola:
												ciphertext += table[((rowa + 1) % 5) * 5 + cola]
												ciphertext += table[((rowa + 1) % 5) * 5 + cola]
								else:  # rectangle
												ciphertext += table[rowa * 5 + cola]
												ciphertext += table[rowa * 5 + cola]

				return ciphertext

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		generate_table(_SCREAMING_SNAKE_CASE    )
				__a       =		""""""

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(_SCREAMING_SNAKE_CASE				,     2    ):
								__a     ,					__a       =		divmod(table.index(_SCREAMING_SNAKE_CASE    )				,     5    )
								__a     ,					__a       =		divmod(table.index(_SCREAMING_SNAKE_CASE    )				,     5    )

								if rowa == rowa:
												plaintext += table[rowa * 5 + (cola - 1) % 5]
												plaintext += table[rowa * 5 + (cola - 1) % 5]
								elif cola == cola:
												plaintext += table[((rowa - 1) % 5) * 5 + cola]
												plaintext += table[((rowa - 1) % 5) * 5 + cola]
								else:  # rectangle
												plaintext += table[rowa * 5 + cola]
												plaintext += table[rowa * 5 + cola]

				return plaintext
