
'''simple docstring'''

from ...processing_utils import ProcessorMixin






class  A  (						SCREAMING_SNAKE_CASE__     ):
	snake_case__   :List[Any]   =  ['image_processor', 'feature_extractor']
	snake_case__   :Tuple   =  'TvltImageProcessor'
	snake_case__   :List[str]   =  'TvltFeatureExtractor'





	def __init__(       self      :							Optional[Any]   ,				__magic_name__      :							List[Any]   ,				__magic_name__      :							Tuple				):


				"""simple docstring"""

				super().__init__(image_processor=__magic_name__   ,				feature_extractor=__magic_name__				)

				lowerCAmelCase__										=				image_processor
				lowerCAmelCase__										=				feature_extractor





	def __call__(       self      :							Optional[Any]   ,				__magic_name__      :							Optional[Any]=None   ,				__magic_name__      :							Optional[int]=None   ,				__magic_name__      :							Optional[int]=None   ,				__magic_name__      :							Any=None   ,				__magic_name__      :							List[Any]=False   ,				__magic_name__      :							Union[str, Any]=False   ,				*__magic_name__      :							Optional[int]   ,				**__magic_name__      :							Optional[Any]   ,				):


				"""simple docstring"""

				if images is None and audio is None:
							raise ValueError("You need to specify either an `images` or `audio` input to process."				)

				lowerCAmelCase__										=				None
				if images is not None:
							lowerCAmelCase__										=				self.image_processor(__magic_name__   ,				mask_pixel=__magic_name__   ,				*__magic_name__   ,				**__magic_name__				)
				if images_mixed is not None:
							lowerCAmelCase__										=				self.image_processor(__magic_name__   ,				is_mixed=__magic_name__   ,				*__magic_name__   ,				**__magic_name__				)
				if audio is not None:
							lowerCAmelCase__										=				self.feature_extractor(
							    __magic_name__   ,				*__magic_name__   ,				sampling_rate=__magic_name__   ,				mask_audio=__magic_name__   ,				**__magic_name__				)

				lowerCAmelCase__										=				{}
				if audio is not None:
							output_dict.update(__magic_name__				)
				if images is not None:
							output_dict.update(__magic_name__				)
				if images_mixed_dict is not None:
							output_dict.update(__magic_name__				)
				return output_dict







	@property
	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[Any]				):


				"""simple docstring"""

				lowerCAmelCase__										=				self.image_processor.model_input_names
				lowerCAmelCase__										=				self.feature_extractor.model_input_names
				return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names				)				)











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

						def __call__(		self :Union[str, Any]			):
										'''simple docstring'''

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


						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										from .features import Value

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




@dataclass
class 		__A   :
						UpperCamelCase      =       None
						UpperCamelCase      =       None
						UpperCamelCase      =       None
						# Automatically constructed
						UpperCamelCase      =       "dict"
						UpperCamelCase      =       None
						UpperCamelCase      =       field(default="""TranslationVariableLanguages"""       ,    init=UpperCamelCase__       ,    repr=UpperCamelCase__      )

						def      A__    (		self :Optional[Any]			):
										'''simple docstring'''

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

						def __call__(		self :List[str]			):
										'''simple docstring'''

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

						def      A__    (		self :str     ,			__snake_case :str			):
										'''simple docstring'''

										__magic_name__						:						Optional[int]										=set(self.languages			)
										if self.languages and set(__snake_case			) - lang_set:
														raise ValueError(
														    f"Some languages in example ({', '.join(sorted(set(__snake_case			) - lang_set			)			)}) are not in valid set ({', '.join(__snake_case			)})."			)

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

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


						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										from .features import Sequence, Value

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




