





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					:

			'''simple docstring'''







			lowerCAmelCase_							  =		42
			lowerCAmelCase_							  =		None
			# Automatically constructed
			lowerCAmelCase_							  =		"dict"
			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				from .features import Value

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






@dataclass
class       __A					:

			'''simple docstring'''







			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		None
			# Automatically constructed
			lowerCAmelCase_							  =		"dict"
			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		field(default="""TranslationVariableLanguages"""    ,       init=lowerCAmelCase    ,       repr=lowerCAmelCase				)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	sorted(set(self.languages							)							) if self.languages else None
				lowerCamelCase__              =	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 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				from .features import Sequence, Value

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










import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_a						=   logging.get_logger(__name__)






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			def __init__(					self ,						*__lowerCAmelCase ,						**__lowerCAmelCase							):



				'''simple docstring'''







				warnings.warn(
				    '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
				    ''' Please use SegformerImageProcessor instead.''' ,						__lowerCAmelCase ,						)
				super().__init__(*__lowerCAmelCase ,						**__lowerCAmelCase							)



