


'''simple docstring'''

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 _lowerCamelCase	:



		'''simple docstring'''







		A_     :      List[str]
		A_     :      Optional[str]				   =    None
		# Automatically constructed
		A_     :      ClassVar[str]				   =    "dict"
		A_     :      ClassVar[Any]				   =    None
		A_     :      str				   =    field(default="""Translation"""		,					init=lowercase__		,					repr=lowercase__							)







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







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

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







@dataclass
class _lowerCamelCase	:



		'''simple docstring'''







		A_     :      Optional[List]				   =    None
		A_     :      Optional[int]				   =    None
		A_     :      Optional[str]				   =    None
		# Automatically constructed
		A_     :      ClassVar[str]				   =    "dict"
		A_     :      ClassVar[Any]				   =    None
		A_     :      str				   =    field(default="""TranslationVariableLanguages"""		,					init=lowercase__		,					repr=lowercase__							)







		def        __lowerCAmelCase		( self		:						Any      )  ->			str:
			__magic_name__	:   Optional[Any]					     =					sorted(set(self.languages      )      ) if self.languages else None
			__magic_name__	:   List[Any]					     =					len(self.languages      ) if self.languages else None







		def __call__( self		:						int      )  ->			int:
			return pa.struct({'language': pa.list_(pa.string()      ), 'translation': pa.list_(pa.string()      )}      )







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						int      )  ->			Any:
			__magic_name__	:   Any					     =					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.
			__magic_name__	:   Tuple					     =					[]
			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.
			__magic_name__     ,    __magic_name__	:   Any					     =					zip(*sorted(_A      )      )

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







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

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



'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase				:str        =      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase				:List[str]        =      ['''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				:Optional[Any]        =      ['''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				:Tuple        =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)