




from typing import List

from .keymap import KEYMAP, get_character







def lowerCamelCase__       (      _lowercase				):

     '''simple docstring'''


     def decorator(_lowercase				):
          UpperCAmelCase_      :							int       =      getattr(_lowercase			,						'''handle_key'''			,						[]				)
          handle += [key]
          setattr(_lowercase			,						'''handle_key'''			,						_lowercase				)
          return func

     return decorator







def lowerCamelCase__       (      *_lowercase				):

     '''simple docstring'''


     def decorator(_lowercase				):
          UpperCAmelCase_      :							Tuple       =      getattr(_lowercase			,						'''handle_key'''			,						[]				)
          handle += keys
          setattr(_lowercase			,						'''handle_key'''			,						_lowercase				)
          return func

     return decorator

class   __a(					_a       ):






    """simple docstring"""





    def __new__(				cls       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		Dict:
         UpperCAmelCase_      :							List[str]       =      super().__new__(cls       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
         if not hasattr(_SCREAMING_SNAKE_CASE       ,'''key_handler'''  ):
              setattr(_SCREAMING_SNAKE_CASE       ,'''key_handler'''       ,{}  )
         setattr(_SCREAMING_SNAKE_CASE       ,'''handle_input'''       ,KeyHandler.handle_input  )

         for value in attrs.values():
              UpperCAmelCase_      :							str       =      getattr(_SCREAMING_SNAKE_CASE       ,'''handle_key'''       ,[]  )
              for key in handled_keys:
                   UpperCAmelCase_      :							Optional[Any]       =      value
         return new_cls





    @staticmethod
    def 							a__				(				cls  )			->		Tuple:
         UpperCAmelCase_      :							Union[str, Any]       =      get_character()
         if char != KEYMAP["undefined"]:
              UpperCAmelCase_      :							Any       =      ord(_SCREAMING_SNAKE_CASE  )
         UpperCAmelCase_      :							Union[str, Any]       =      cls.key_handler.get(_SCREAMING_SNAKE_CASE  )
         if handler:
              UpperCAmelCase_      :							str       =      char
              return handler(cls  )
         else:
              return None







def lowerCamelCase__       (      cls				):

     '''simple docstring'''


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





from typing import TYPE_CHECKING

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


__a          =			{
    'configuration_bloom': ['BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BloomConfig', 'BloomOnnxConfig'],
}
try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __a          =			['BloomTokenizerFast']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __a          =			[
         'BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST',
         'BloomForCausalLM',
         'BloomModel',
         'BloomPreTrainedModel',
         'BloomForSequenceClassification',
         'BloomForTokenClassification',
         'BloomForQuestionAnswering',
     ]

if TYPE_CHECKING:
     from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_bloom_fast import BloomTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_bloom import (
              BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
              BloomForCausalLM,
              BloomForQuestionAnswering,
              BloomForSequenceClassification,
              BloomForTokenClassification,
              BloomModel,
              BloomPreTrainedModel,
          )

else:
     import sys

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