





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  A__       :
      _UpperCAmelCase     :List[str]
      _UpperCAmelCase     :Optional[str]						   =       None
      # Automatically constructed
      _UpperCAmelCase     :ClassVar[str]						   =       "dict"
      _UpperCAmelCase     :ClassVar[Any]						   =       None
      _UpperCAmelCase     :str						   =       field(default='Translation'	,       init=lowerCamelCase_	,       repr=lowerCamelCase_      )





      def __call__(			self       ):
       '''simple docstring'''




       return pa.struct({lang: pa.string() for lang in sorted(self.languages       )}       )





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       from .features import Value

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



@dataclass
class  A__       :
      _UpperCAmelCase     :Optional[List]						   =       None
      _UpperCAmelCase     :Optional[int]						   =       None
      _UpperCAmelCase     :Optional[str]						   =       None
      # Automatically constructed
      _UpperCAmelCase     :ClassVar[str]						   =       "dict"
      _UpperCAmelCase     :ClassVar[Any]						   =       None
      _UpperCAmelCase     :str						   =       field(default='TranslationVariableLanguages'	,       init=lowerCamelCase_	,       repr=lowerCamelCase_      )





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : int	     =       sorted(set(self.languages       )       ) if self.languages else None
       UpperCamelCase     : Optional[int]	     =       len(self.languages       ) if self.languages else None





      def __call__(			self       ):
       '''simple docstring'''




       return pa.struct({"language": pa.list_(pa.string()       ), "translation": pa.list_(pa.string()       )}       )





      def 	__UpperCamelCase(			self	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : Any	     =       set(self.languages       )
       if self.languages and set(_UpperCAmelCase       ) - lang_set:
        raise ValueError(
            F"""Some languages in example ({", ".join(sorted(set(_UpperCAmelCase       ) - lang_set       )       )}) are not in valid set ({", ".join(_UpperCAmelCase       )})."""       )

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

            # Ensure translations are in ascending order by language code.
       UpperCamelCase     ,   UpperCamelCase     : Any	     =       zip(*sorted(_UpperCAmelCase       )       )

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





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       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_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowerCamelCase	:					str			  =					{"""configuration_encoder_decoder""": ["""EncoderDecoderConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Optional[Any]			  =					["""EncoderDecoderModel"""]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Optional[Any]			  =					["""TFEncoderDecoderModel"""]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Union[str, Any]			  =					["""FlaxEncoderDecoderModel"""]

if TYPE_CHECKING:
    from .configuration_encoder_decoder import EncoderDecoderConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_encoder_decoder import EncoderDecoderModel

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
    import sys

    __lowerCamelCase	:					Dict			  =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
