code: 
  
  import numpy as np
  
  UpperCAmelCase_       :				Any		   =      [
      ['''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_			:
  
  
  
  
  	def __init__(    self	:    Optional[int]       ):
  		__A   : Optional[Any]								= np.array(__A       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[Any]				,			__A	:    str       ):
  		__A						,							__A   : Optional[int]								= np.where(letter == self.SQUARE       )
  		__A   : int								= np.concatenate([indexa + 1, indexa + 1]       )
  		return indexes
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict				,			__A	:    int				,			__A	:    int       ):
  		return self.SQUARE[indexa - 1, indexa - 1]
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    int				,			__A	:    str       ):
  		__A   : Any								= message.lower()
  		__A   : List[Any]								= message.replace("""j"""				,			"""i"""       )
  
  		__A   : str								= """"""
  		for letter_index in range(len(__A       )       ):
  			if message[letter_index] != " ":
  				__A   : Optional[Any]								= self.letter_to_numbers(message[letter_index]       )
  				__A   : List[Any]								= encoded_message + str(numbers[0]       ) + str(numbers[1]       )
  			elif message[letter_index] == " ":
  				__A   : Tuple								= encoded_message + """ """
  
  		return encoded_message
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Optional[int]				,			__A	:    str       ):
  		__A   : Dict								= message.replace(""" """				,			"""  """       )
  		__A   : int								= """"""
  		for numbers_index in range(int(len(__A       ) / 2       )       ):
  			if message[numbers_index * 2] != " ":
  				__A   : Tuple								= message[numbers_index * 2]
  				__A   : List[Any]								= message[numbers_index * 2 + 1]
  
  				__A   : Union[str, Any]								= self.numbers_to_letter(int(__A       )				,			int(__A       )       )
  				__A   : str								= decoded_message + letter
  			elif message[numbers_index * 2] == " ":
  				__A   : Any								= decoded_message + """ """
  
  		return decoded_message
  
  
  
  
  
  
style_context: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  UpperCAmelCase_       :				Optional[Any]		   =      {
      '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
      '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
  }
  
  try:
  			if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			UpperCAmelCase_       :				List[str]		   =      [
  			    '''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
  
  			UpperCAmelCase_       :				Any		   =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  