


'''simple docstring'''

import numpy as np

lowercase__				     =		[
    ["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 						__SCREAMING_SNAKE_CASE					:






     def __init__(			self		)       ->    None:
          _a						=		np.array(__UpperCamelCase		)






     def  a_					(			self     ,							__UpperCamelCase		)       ->    np.ndarray:
          _a			,			_a						=		np.where(letter == self.SQUARE		)
          _a						=		np.concatenate([indexa + 1, indexa + 1]		)
          return indexes






     def  a_					(			self     ,							__UpperCamelCase     ,							__UpperCamelCase		)       ->    str:
          _a						=		self.SQUARE[indexa - 1, indexa - 1]
          return letter






     def  a_					(			self     ,							__UpperCamelCase		)       ->    str:
          _a						=		message.lower()
          _a						=		message.replace(" "     ,							""		)
          _a						=		message.replace("j"     ,							"i"		)

          _a						=		np.empty((2, len(__UpperCamelCase		))		)
          for letter_index in range(len(__UpperCamelCase		)		):
               _a						=		self.letter_to_numbers(message[letter_index]		)

               _a						=		numbers[0]
               _a						=		numbers[1]

          _a						=		first_step.reshape(2 * len(__UpperCamelCase		)		)
          _a						=		""
          for numbers_index in range(len(__UpperCamelCase		)		):
               _a						=		int(second_step[numbers_index * 2]		)
               _a						=		int(second_step[(numbers_index * 2) + 1]		)
               _a						=		self.numbers_to_letter(__UpperCamelCase     ,							__UpperCamelCase		)
               _a						=		encoded_message + letter

          return encoded_message






     def  a_					(			self     ,							__UpperCamelCase		)       ->    str:
          _a						=		message.lower()
          message.replace(" "     ,							""		)
          _a						=		np.empty(2 * len(__UpperCamelCase		)		)
          for letter_index in range(len(__UpperCamelCase		)		):
               _a						=		self.letter_to_numbers(message[letter_index]		)
               _a						=		numbers[0]
               _a						=		numbers[1]

          _a						=		first_step.reshape((2, len(__UpperCamelCase		))		)
          _a						=		""
          for numbers_index in range(len(__UpperCamelCase		)		):
               _a						=		int(second_step[0, numbers_index]		)
               _a						=		int(second_step[1, numbers_index]		)
               _a						=		self.numbers_to_letter(__UpperCamelCase     ,							__UpperCamelCase		)
               _a						=		decoded_message + letter

          return decoded_message





'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__				     =		logging.get_logger(__name__)





class 						__SCREAMING_SNAKE_CASE					(      lowerCamelCase__ ):
     UpperCAmelCase 					=				'''encoder-decoder'''
     UpperCAmelCase 					=				True






     def __init__(			self     ,							**__UpperCamelCase		)       ->    List[Any]:
          super().__init__(**__UpperCamelCase		)
          assert (
              "encoder" in kwargs and "decoder" in kwargs
          ), "Config has to be initialized with encoder and decoder config"
          _a						=		kwargs.pop("encoder"		)
          _a						=		encoder_config.pop("model_type"		)
          _a						=		kwargs.pop("decoder"		)
          _a						=		decoder_config.pop("model_type"		)

          from ..auto.configuration_auto import AutoConfig

          _a						=		AutoConfig.for_model(__UpperCamelCase     ,							**__UpperCamelCase		)
          _a						=		AutoConfig.for_model(__UpperCamelCase     ,							**__UpperCamelCase		)
          _a						=		True






     @classmethod
     def  a_					(			cls     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							**__UpperCamelCase		)       ->    PretrainedConfig:
          logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"		)
          _a						=		True
          _a						=		True

          return cls(encoder=encoder_config.to_dict()     ,							decoder=decoder_config.to_dict()     ,							**__UpperCamelCase		)






     def  a_					(			self		)       ->    Any:
          _a						=		copy.deepcopy(self.__dict__		)
          _a						=		self.encoder.to_dict()
          _a						=		self.decoder.to_dict()
          _a						=		self.__class__.model_type
          return output

