


'''simple docstring'''

import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


lowerCamelCase							:       List[Any]  						=     TypeVar('T', bound='TaskTemplate')
@dataclass(frozen=lowercase_					)
class   __lowerCAmelCase						(abc.ABC					):





      '''simple docstring'''






      lowerCAmelCase__ :					str
      lowerCAmelCase__ :					ClassVar[Features]
      lowerCAmelCase__ :					ClassVar[Features]



      def 				UpperCamelCase__		(self   :   T       ,						UpperCamelCase   :   Features			):

             '''simple docstring'''







             return copy.deepcopy(self			)



      @property
      def 				UpperCamelCase__		(self   :   Optional[int]			):

             '''simple docstring'''







             return Features(**self.input_schema       ,						**self.label_schema			)



      @property
      @abc.abstractmethod
      def 				UpperCamelCase__		(self   :   Any			):

             '''simple docstring'''







             raise NotImplementedError






      @classmethod
      def 				UpperCamelCase__		(cls   :   Type[T]       ,						UpperCamelCase   :   dict			):

             '''simple docstring'''







             lowercase__				      =			{f.name for f in dataclasses.fields(cls			)}
             return cls(**{k: v for k, v in template_dict.items() if k in field_names}			)








'''simple docstring'''

from typing import TYPE_CHECKING

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


lowerCamelCase							:       Tuple  						=     {'configuration_bert_generation': ['BertGenerationConfig']}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Union[str, Any]  						=     ['BertGenerationTokenizer']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Dict  						=     [
     'BertGenerationDecoder',
     'BertGenerationEncoder',
     'BertGenerationPreTrainedModel',
     'load_tf_weights_in_bert_generation',
 ]


if TYPE_CHECKING:
 from .configuration_bert_generation import BertGenerationConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_bert_generation import BertGenerationTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bert_generation import (
      BertGenerationDecoder,
      BertGenerationEncoder,
      BertGenerationPreTrainedModel,
      load_tf_weights_in_bert_generation,
  )

else:
 import sys

 lowerCamelCase							:       int  						=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




