





from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
     from .features import FeatureType



@dataclass
class 							_UpperCAmelCase       :

  """simple docstring"""


  a_              =					42
  a_              =					None
  # Automatically constructed
  a_              =					"dict"
  a_              =					None
  a_              =					field(default="""Translation"""						,       init=_UpperCamelCase						,       repr=_UpperCamelCase       )






  def __call__(							self					:						int	)				->		Dict:
     return pa.struct({lang: pa.string() for lang in sorted(self.languages	)}	)






  def 							lowercase						(							self					:						List[str]	)				->		Union["FeatureType", Dict[str, "FeatureType"]]:
     from .features import Value

     return {k: Value('string'	) for k in sorted(self.languages	)}





@dataclass
class 							_UpperCAmelCase       :

  """simple docstring"""


  a_              =					None
  a_              =					None
  a_              =					None
  # Automatically constructed
  a_              =					"dict"
  a_              =					None
  a_              =					field(default="""TranslationVariableLanguages"""						,       init=_UpperCamelCase						,       repr=_UpperCamelCase       )






  def 							lowercase						(							self					:						str	)				->		Union[str, Any]:
     __lowerCAmelCase				      =      sorted(set(self.languages	)	) if self.languages else None
     __lowerCAmelCase				      =      len(self.languages	) if self.languages else None






  def __call__(							self					:						Union[str, Any]	)				->		str:
     return pa.struct({'language': pa.list_(pa.string()	), 'translation': pa.list_(pa.string()	)}	)






  def 							lowercase						(							self					:						Optional[int]   ,    lowerCAmelCase_					:						List[Any]	)				->		List[str]:
     __lowerCAmelCase				      =      set(self.languages	)
     if self.languages and set(lowerCAmelCase_	) - lang_set:
        raise ValueError(
            f"""Some languages in example ({", ".join(sorted(set(lowerCAmelCase_	) - lang_set	)	)}) are not in valid set ({", ".join(lowerCAmelCase_	)})."""	)

     # Convert dictionary into tuples, splitting out cases where there are
     # multiple translations for a single language.
     __lowerCAmelCase				      =      []
     for lang, text in translation_dict.items():
        if isinstance(lowerCAmelCase_   ,    lowerCAmelCase_	):
           translation_tuples.append((lang, text)	)
        else:
           translation_tuples.extend([(lang, el) for el in text]	)

        # Ensure translations are in ascending order by language code.
     __lowerCAmelCase      ,      __lowerCAmelCase				      =      zip(*sorted(lowerCAmelCase_	)	)

     return {"language": languages, "translation": translations}






  def 							lowercase						(							self					:						int	)				->		Union["FeatureType", Dict[str, "FeatureType"]]:
     from .features import Sequence, Value

     return {
         "language": Sequence(Value('string'	)	),
         "translation": Sequence(Value('string'	)	),
     }









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


SCREAMING_SNAKE_CASE__   :      Optional[int]				=		{"""tokenization_herbert""": ["""HerbertTokenizer"""]}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		["""HerbertTokenizerFast"""]


if TYPE_CHECKING:
					from .tokenization_herbert import HerbertTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_herbert_fast import HerbertTokenizerFast

else:
					import sys

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






