


from typing import List

from .keymap import KEYMAP, get_character




def 	a_      (    SCREAMING_SNAKE_CASE__					:      str     ):
       '''simple docstring'''





       def decorator(SCREAMING_SNAKE_CASE__					:      Any     ):
              _lowerCamelCase       :		Optional[Any]		=getattr(SCREAMING_SNAKE_CASE__		,			'handle_key'		,			[]     )
              handle += [key]
              setattr(SCREAMING_SNAKE_CASE__		,			'handle_key'		,			SCREAMING_SNAKE_CASE__     )
              return func

       return decorator




def 	a_      (    *SCREAMING_SNAKE_CASE__					:      List[str]     ):
       '''simple docstring'''





       def decorator(SCREAMING_SNAKE_CASE__					:      List[str]     ):
              _lowerCamelCase       :		Tuple		=getattr(SCREAMING_SNAKE_CASE__		,			'handle_key'		,			[]     )
              handle += keys
              setattr(SCREAMING_SNAKE_CASE__		,			'handle_key'		,			SCREAMING_SNAKE_CASE__     )
              return func

       return decorator




class A  (   UpperCamelCase_     ):






      def __new__(					cls						:     Union[str, Any]			,   lowercase_						:     List[str]			,   lowercase_						:     Tuple			,   lowercase_						:     Any )					->						List[Any]:
             """simple docstring"""




             _lowerCamelCase       :		Optional[Any]		=super().__new__(cls			,   lowercase_			,   lowercase_			,   lowercase_ )
             if not hasattr(lowercase_			,   'key_handler' ):
                    setattr(lowercase_			,   'key_handler'			,   {} )
             setattr(lowercase_			,   'handle_input'			,   KeyHandler.handle_input )

             for value in attrs.values():
                    _lowerCamelCase       :		Any		=getattr(lowercase_			,   'handle_key'			,   [] )
                    for key in handled_keys:
                           _lowerCamelCase       :		Tuple		=value
             return new_cls






      @staticmethod
      def        lowerCamelCase       (					cls						:     Any )					->						str:
             """simple docstring"""




             _lowerCamelCase       :		str		=get_character()
             if char != KEYMAP["undefined"]:
                    _lowerCamelCase       :		Tuple		=ord(lowercase_ )
             _lowerCamelCase       :		Optional[int]		=cls.key_handler.get(lowercase_ )
             if handler:
                    _lowerCamelCase       :		Union[str, Any]		=char
                    return handler(cls )
             else:
                    return None




def 	a_      (    cls					:      int     ):
       '''simple docstring'''





       return KeyHandler(cls.__name__		,			cls.__bases__		,			cls.__dict__.copy()     )






from typing import TYPE_CHECKING

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


if is_sentencepiece_available():
 from ..ta.tokenization_ta import TaTokenizer
else:
 from ...utils.dummy_sentencepiece_objects import TaTokenizer

lowerCamelCase											=       TaTokenizer

if is_tokenizers_available():
 from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
 from ...utils.dummy_tokenizers_objects import TaTokenizerFast

lowerCamelCase											=       TaTokenizerFast

lowerCamelCase											=       {'configuration_mt5': ['MT5Config', 'MT5OnnxConfig']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       [
     'MT5EncoderModel',
     'MT5ForConditionalGeneration',
     'MT5ForQuestionAnswering',
     'MT5Model',
     'MT5PreTrainedModel',
     'MT5Stack',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       ['TFMT5EncoderModel', 'TFMT5ForConditionalGeneration', 'TFMT5Model']

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       ['FlaxMT5EncoderModel', 'FlaxMT5ForConditionalGeneration', 'FlaxMT5Model']


if TYPE_CHECKING:
 from .configuration_mta import MTaConfig, MTaOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mta import (
      MTaEncoderModel,
      MTaForConditionalGeneration,
      MTaForQuestionAnswering,
      MTaModel,
      MTaPreTrainedModel,
      MTaStack,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
 import sys

 lowerCamelCase											=       _LazyModule(
     __name__,
     globals()['__file__'],
     _import_structure,
     extra_objects={'MT5Tokenizer': MTaTokenizer, 'MT5TokenizerFast': MTaTokenizerFast},
     module_spec=__spec__,
 )


