






'''simple docstring'''






import numpy as np

__A     						= [
    ['''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 a_     :







   def __init__(self)      ->   None:
      """simple docstring"""






      __snake_case					:   Dict  				=			np.array(__a)







   def      SCREAMING_SNAKE_CASE__       (self       , __a)      ->   np.ndarray:
      """simple docstring"""






      __snake_case				,__snake_case					:   Any  				=			np.where(letter == self.SQUARE)
      __snake_case					:   Tuple  				=			np.concatenate([indexa + 1, indexa + 1])
      return indexes







   def      SCREAMING_SNAKE_CASE__       (self       , __a       , __a)      ->   str:
      """simple docstring"""






      return self.SQUARE[indexa - 1, indexa - 1]







   def      SCREAMING_SNAKE_CASE__       (self       , __a)      ->   str:
      """simple docstring"""






      __snake_case					:   str  				=			message.lower()
      __snake_case					:   int  				=			message.replace('j'       , 'i')

      __snake_case					:   Tuple  				=			''
      for letter_index in range(len(__a)):
         if message[letter_index] != " ":
            __snake_case					:   int  				=			self.letter_to_numbers(message[letter_index])
            __snake_case					:   str  				=			encoded_message + str(numbers[0]) + str(numbers[1])
         elif message[letter_index] == " ":
            __snake_case					:   Optional[int]  				=			encoded_message + ' '

      return encoded_message







   def      SCREAMING_SNAKE_CASE__       (self       , __a)      ->   str:
      """simple docstring"""






      __snake_case					:   Dict  				=			message.replace(' '       , '  ')
      __snake_case					:   Dict  				=			''
      for numbers_index in range(int(len(__a) / 2)):
         if message[numbers_index * 2] != " ":
            __snake_case					:   Tuple  				=			message[numbers_index * 2]
            __snake_case					:   Optional[Any]  				=			message[numbers_index * 2 + 1]

            __snake_case					:   Dict  				=			self.numbers_to_letter(int(__a)       , int(__a))
            __snake_case					:   Optional[int]  				=			decoded_message + letter
         elif message[numbers_index * 2] == " ":
            __snake_case					:   Optional[Any]  				=			decoded_message + ' '

      return decoded_message







'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A     						= {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __A     						= [
          '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ProphetNetDecoder''',
          '''ProphetNetEncoder''',
          '''ProphetNetForCausalLM''',
          '''ProphetNetForConditionalGeneration''',
          '''ProphetNetModel''',
          '''ProphetNetPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
      from .tokenization_prophetnet import ProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_prophetnet import (
                PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ProphetNetDecoder,
                ProphetNetEncoder,
                ProphetNetForCausalLM,
                ProphetNetForConditionalGeneration,
                ProphetNetModel,
                ProphetNetPreTrainedModel,
            )

else:
      import sys

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