



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     							=						{
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}
class 				__A					( A_      ):
			UpperCamelCase					:Tuple     =			'''data2vec-vision'''





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

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

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







class 				__A					( A_      ):
			UpperCamelCase					:Union[str, Any]     =			version.parse('''1.11'''      )





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





			@property
			def        _snake_case    (self				):
						return 1E-4








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






def      _A				(UpperCamelCase		:      Iterable[str]      ,			UpperCamelCase		:      int )  ->Generator[tuple[str, ...], None, None]:



			'''simple docstring'''







			lowerCamelCase__ :      Any								=		iter(UpperCamelCase )
			while True:
						lowerCamelCase__ :      Union[str, Any]								=		tuple(itertools.islice(UpperCamelCase      ,			UpperCamelCase ) )
						if not chunk:
									return
						yield chunk






def      _A				(UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Tuple								=		"""""".join([c.upper() for c in dirty if c in string.ascii_letters] )
			lowerCamelCase__ :      Any								=		""""""

			if len(UpperCamelCase ) < 2:
						return dirty

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

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

			clean += dirty[-1]

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

			return clean






def      _A				(UpperCamelCase		:      str )  ->list[str]:



			'''simple docstring'''







			lowerCamelCase__ :      Optional[Any]								=		"""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
			lowerCamelCase__ :      List[Any]								=		[]

			# 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(UpperCamelCase )

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

			return table






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Tuple								=		generate_table(UpperCamelCase )
			lowerCamelCase__ :      int								=		prepare_input(UpperCamelCase )
			lowerCamelCase__ :      List[str]								=		""""""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(UpperCamelCase      ,			2 ):
						lowerCamelCase__							,lowerCamelCase__ :      Optional[Any]								=		divmod(table.index(UpperCamelCase )      ,			5 )
						lowerCamelCase__							,lowerCamelCase__ :      Optional[Any]								=		divmod(table.index(UpperCamelCase )      ,			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      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Any								=		generate_table(UpperCamelCase )
			lowerCamelCase__ :      Any								=		""""""

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



