"""simple docstring"""






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




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   str:
				SCREAMING_SNAKE_CASE__		  =				iter(__UpperCAmelCase       )
				while True:
								SCREAMING_SNAKE_CASE__		  =				tuple(itertools.islice(__UpperCAmelCase  ,					__UpperCAmelCase       )       )
								if not chunk:
												return
								yield chunk




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   Tuple:
				SCREAMING_SNAKE_CASE__		  =				"""""".join([c.upper() for c in dirty if c in string.ascii_letters]       )
				SCREAMING_SNAKE_CASE__		  =				""""""

				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 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   List[str]:
				# I and J are used interchangeably to allow
				# us to use a 5x5 table (25 letters)
				SCREAMING_SNAKE_CASE__		  =				"""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
				SCREAMING_SNAKE_CASE__		  =				[]

				# 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 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   Tuple:
				SCREAMING_SNAKE_CASE__		  =				generate_table(__UpperCAmelCase       )
				SCREAMING_SNAKE_CASE__		  =				prepare_input(__UpperCAmelCase       )
				SCREAMING_SNAKE_CASE__		  =				""""""

				# https://en.wikipedia.org/wiki/Playfair_cipher#Description
				for chara, chara in chunker(__UpperCAmelCase  ,					2       ):
								SCREAMING_SNAKE_CASE__		  =				divmod(table.index(__UpperCAmelCase       )  ,					5       )
								SCREAMING_SNAKE_CASE__		  =				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 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   str:
				SCREAMING_SNAKE_CASE__		  =				generate_table(__UpperCAmelCase       )
				SCREAMING_SNAKE_CASE__		  =				""""""

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



"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_A   					=    {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    ['VisionEncoderDecoderModel']

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    ['TFVisionEncoderDecoderModel']

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
						from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
						import sys

						_A   					=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




