'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


_lowerCamelCase :				Dict														= {
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCamelCase :				Optional[Any]														= ["""XLMProphetNetTokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCamelCase :				int														= [
          """XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """XLMProphetNetDecoder""",
          """XLMProphetNetEncoder""",
          """XLMProphetNetForCausalLM""",
          """XLMProphetNetForConditionalGeneration""",
          """XLMProphetNetModel""",
          """XLMProphetNetPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_xlm_prophetnet import (
                XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                XLMProphetNetDecoder,
                XLMProphetNetEncoder,
                XLMProphetNetForCausalLM,
                XLMProphetNetForConditionalGeneration,
                XLMProphetNetModel,
                XLMProphetNetPreTrainedModel,
            )

else:
      import sys

      _lowerCamelCase :				int														= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
'''simple docstring'''

import numpy as np

_lowerCamelCase :				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__  :



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





        _UpperCamelCase  :Any       =np.array(lowerCAmelCase__     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     np.ndarray:
        """simple docstring"""





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



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





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



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        _UpperCamelCase  :str       =message.lower()
        _UpperCamelCase  :List[Any]       =message.replace("""j"""					,      """i"""     )

        _UpperCamelCase  :List[str]       =""""""
        for letter_index in range(len(lowerCAmelCase__     )     ):
             if message[letter_index] != " ":
                  _UpperCamelCase  :Dict       =self.letter_to_numbers(message[letter_index]     )
                  _UpperCamelCase  :List[Any]       =encoded_message + str(numbers[0]     ) + str(numbers[1]     )
             elif message[letter_index] == " ":
                  _UpperCamelCase  :List[Any]       =encoded_message + """ """

        return encoded_message




   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        _UpperCamelCase  :List[str]       =message.replace(""" """					,      """  """     )
        _UpperCamelCase  :Dict       =""""""
        for numbers_index in range(int(len(lowerCAmelCase__     ) / 2     )     ):
             if message[numbers_index * 2] != " ":
                  _UpperCamelCase  :Tuple       =message[numbers_index * 2]
                  _UpperCamelCase  :List[str]       =message[numbers_index * 2 + 1]

                  _UpperCamelCase  :Dict       =self.numbers_to_letter(int(lowerCAmelCase__     )					,      int(lowerCAmelCase__     )     )
                  _UpperCamelCase  :Union[str, Any]       =decoded_message + letter
             elif message[numbers_index * 2] == " ":
                  _UpperCamelCase  :Dict       =decoded_message + """ """

        return decoded_message