


from typing import TYPE_CHECKING

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


lowerCamelCase__							:						str							     =   {
    """configuration_deberta""": ["""DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DebertaConfig""", """DebertaOnnxConfig"""],
    """tokenization_deberta""": ["""DebertaTokenizer"""],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__							:						Any							     =   ["""DebertaTokenizerFast"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__							:						List[str]							     =   [
       """DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """DebertaForMaskedLM""",
       """DebertaForQuestionAnswering""",
       """DebertaForSequenceClassification""",
       """DebertaForTokenClassification""",
       """DebertaModel""",
       """DebertaPreTrainedModel""",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__							:						Tuple							     =   [
       """TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """TFDebertaForMaskedLM""",
       """TFDebertaForQuestionAnswering""",
       """TFDebertaForSequenceClassification""",
       """TFDebertaForTokenClassification""",
       """TFDebertaModel""",
       """TFDebertaPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaOnnxConfig
   from .tokenization_deberta import DebertaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_deberta_fast import DebertaTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_deberta import (
          DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
          DebertaForMaskedLM,
          DebertaForQuestionAnswering,
          DebertaForSequenceClassification,
          DebertaForTokenClassification,
          DebertaModel,
          DebertaPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_deberta import (
          TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFDebertaForMaskedLM,
          TFDebertaForQuestionAnswering,
          TFDebertaForSequenceClassification,
          TFDebertaForTokenClassification,
          TFDebertaModel,
          TFDebertaPreTrainedModel,
      )


else:
   import sys

   lowerCamelCase__							:						Any							     =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)








UpperCAmelCase_           =	{
    "A": ".-", "B": "-...", "C": "-.-.", "D": "-..", "E": ".", "F": "..-.", "G": "--.",
    "H": "....", "I": "..", "J": ".---", "K": "-.-", "L": ".-..", "M": "--", "N": "-.",
    "O": "---", "P": ".--.", "Q": "--.-", "R": ".-.", "S": "...", "T": "-", "U": "..-",
    "V": "...-", "W": ".--", "X": "-..-", "Y": "-.--", "Z": "--..", "1": ".----",
    "2": "..---", "3": "...--", "4": "....-", "5": ".....", "6": "-....", "7": "--...",
    "8": "---..", "9": "----.", "0": "-----", "&": ".-...", "@": ".--.-.",
    ":": "---...", ",": "--..--", ".": ".-.-.-", "'": ".----.", "\"": ".-..-.",
    "?": "..--..", "/": "-..-.", "=": "-...-", "+": ".-.-.", "-": "-....-",
    "(": "-.--.", ")": "-.--.-", "!": "-.-.--", " ": "/"
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
UpperCAmelCase_           =	{value: key for key, value in MORSE_CODE_DICT.items()}
def      A__       (    SCREAMING_SNAKE_CASE_   :      str						)  ->  str:






   """simple docstring"""







   return " ".join(MORSE_CODE_DICT[char] for char in message.upper()						)
def      A__       (    SCREAMING_SNAKE_CASE_   :      str						)  ->  str:






   """simple docstring"""







   return "".join(REVERSE_DICT[char] for char in message.split()						)
def      A__       (    )  ->  None:






   """simple docstring"""







   _UpperCAmelCase           =   '''Morse code here!'''
   print(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   encrypt(SCREAMING_SNAKE_CASE_						)
   print(SCREAMING_SNAKE_CASE_						)
   _UpperCAmelCase           =   decrypt(SCREAMING_SNAKE_CASE_						)
   print(SCREAMING_SNAKE_CASE_						)


if __name__ == "__main__":
   main()