


'''simple docstring'''

import numpy as np

lowerCAmelCase				:Optional[int]        =      [
    ['''a''', '''b''', '''c''', '''d''', '''e'''],
    ['''f''', '''g''', '''h''', '''i''', '''k'''],
    ['''l''', '''m''', '''n''', '''o''', '''p'''],
    ['''q''', '''r''', '''s''', '''t''', '''u'''],
    ['''v''', '''w''', '''x''', '''y''', '''z'''],
]
class _lowerCamelCase	:



		'''simple docstring'''







		def __init__( self		:						Dict      )  ->			None:
			__magic_name__	:   Union[str, Any]					     =					np.array(_A      )







		def        __lowerCAmelCase		( self		:						Optional[Any]  ,					_A		:						str      )  ->			np.ndarray:
			__magic_name__     ,    __magic_name__	:   Any					     =					np.where(letter == self.SQUARE      )
			__magic_name__	:   str					     =					np.concatenate([indexa + 1, indexa + 1]      )
			return indexes







		def        __lowerCAmelCase		( self		:						List[str]  ,					_A		:						int  ,					_A		:						int      )  ->			str:
			__magic_name__	:   Optional[int]					     =					self.SQUARE[indexa - 1, indexa - 1]
			return letter







		def        __lowerCAmelCase		( self		:						Dict  ,					_A		:						str      )  ->			str:
			__magic_name__	:   int					     =					message.lower()
			__magic_name__	:   List[str]					     =					message.replace(' '  ,					''      )
			__magic_name__	:   Dict					     =					message.replace('j'  ,					'i'      )

			__magic_name__	:   Tuple					     =					np.empty((2, len(_A      ))      )
			for letter_index in range(len(_A      )      ):
				__magic_name__	:   Tuple					     =					self.letter_to_numbers(message[letter_index]      )

				__magic_name__	:   List[str]					     =					numbers[0]
				__magic_name__	:   Optional[int]					     =					numbers[1]

			__magic_name__	:   str					     =					first_step.reshape(2 * len(_A      )      )
			__magic_name__	:   Tuple					     =					''
			for numbers_index in range(len(_A      )      ):
				__magic_name__	:   Optional[int]					     =					int(second_step[numbers_index * 2]      )
				__magic_name__	:   List[Any]					     =					int(second_step[(numbers_index * 2) + 1]      )
				__magic_name__	:   Optional[Any]					     =					self.numbers_to_letter(_A  ,					_A      )
				__magic_name__	:   Union[str, Any]					     =					encoded_message + letter

			return encoded_message







		def        __lowerCAmelCase		( self		:						str  ,					_A		:						str      )  ->			str:
			__magic_name__	:   int					     =					message.lower()
			message.replace(' '  ,					''      )
			__magic_name__	:   int					     =					np.empty(2 * len(_A      )      )
			for letter_index in range(len(_A      )      ):
				__magic_name__	:   Dict					     =					self.letter_to_numbers(message[letter_index]      )
				__magic_name__	:   str					     =					numbers[0]
				__magic_name__	:   Tuple					     =					numbers[1]

			__magic_name__	:   str					     =					first_step.reshape((2, len(_A      ))      )
			__magic_name__	:   List[Any]					     =					''
			for numbers_index in range(len(_A      )      ):
				__magic_name__	:   List[Any]					     =					int(second_step[0, numbers_index]      )
				__magic_name__	:   List[Any]					     =					int(second_step[1, numbers_index]      )
				__magic_name__	:   List[str]					     =					self.numbers_to_letter(_A  ,					_A      )
				__magic_name__	:   List[Any]					     =					decoded_message + letter

			return decoded_message



'''simple docstring'''

from typing import TYPE_CHECKING

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


lowerCAmelCase				:str        =      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

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

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

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:Optional[Any]        =      ['''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

							lowerCAmelCase				:Tuple        =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)