





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=__snake_case ,     repr=__snake_case    )





      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=__snake_case ,     repr=__snake_case    )





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




       UpperCamelCase			:      List[Any] 			=     sorted(set(self.languages     )     ) if self.languages else None
       UpperCamelCase			:      str 			=     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			:      Dict 			=     set(self.languages     )
       if self.languages and set(A_     ) - lang_set:
        raise ValueError(
            F"""Some languages in example ({", ".join(sorted(set(A_     ) - lang_set     )     )}) are not in valid set ({", ".join(A_     )})."""     )

       # Convert dictionary into tuples, splitting out cases where there are
       # multiple translations for a single language.
       UpperCamelCase			:      List[str] 			=     []
       for lang, text in translation_dict.items():
        if isinstance(A_ ,							A_     ):
         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			:      Dict 			=     zip(*sorted(A_     )     )

       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 :  Union[str, Any]										=  {
    """configuration_vision_encoder_decoder""": ["""VisionEncoderDecoderConfig""", """VisionEncoderDecoderOnnxConfig"""]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase :  Dict										=  ["""VisionEncoderDecoderModel"""]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase :  List[str]										=  ["""TFVisionEncoderDecoderModel"""]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase :  int										=  ["""FlaxVisionEncoderDecoderModel"""]

if TYPE_CHECKING:
    from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
    import sys

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