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__						:
					A	       =							42
					A	       =							None
					# Automatically constructed
					A	       =							"dict"
					A	       =							None
					A	       =							field(default='Translation'    ,		init=A__    ,		repr=A__					)

					def __call__(    self      :       Tuple    ):







							"""simple docstring"""






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






					def 				__UpperCamelCase   (    self      :       Any    ):







							"""simple docstring"""






							from .features import Value

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







@dataclass
class 		a__						:
					A	       =							None
					A	       =							None
					A	       =							None
					# Automatically constructed
					A	       =							"dict"
					A	       =							None
					A	       =							field(default='TranslationVariableLanguages'    ,		init=A__    ,		repr=A__					)

					def 				__UpperCamelCase   (    self      :       List[Any]    ):







							"""simple docstring"""






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

					def __call__(    self      :       Dict    ):







							"""simple docstring"""






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

					def 				__UpperCamelCase   (    self      :       List[Any],_A      :       Optional[int]    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Optional[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.
							SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    []
							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.
							SCREAMING_SNAKE_CASE_      ,    SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    zip(*sorted(_A    )    )

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






					def 				__UpperCamelCase   (    self      :       Dict    ):







							"""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_torch_available, is_vision_available


__lowerCamelCase					:	Union[str, Any]       =  {
    '''configuration_chinese_clip''': [
        '''CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ChineseCLIPConfig''',
        '''ChineseCLIPOnnxConfig''',
        '''ChineseCLIPTextConfig''',
        '''ChineseCLIPVisionConfig''',
    ],
    '''processing_chinese_clip''': ['''ChineseCLIPProcessor'''],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCamelCase					:	Any       =  ['''ChineseCLIPFeatureExtractor''']
		__lowerCamelCase					:	Optional[int]       =  ['''ChineseCLIPImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCamelCase					:	int       =  [
		    '''CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''ChineseCLIPModel''',
		    '''ChineseCLIPPreTrainedModel''',
		    '''ChineseCLIPTextModel''',
		    '''ChineseCLIPVisionModel''',
		]

if TYPE_CHECKING:
		from .configuration_chinese_clip import (
		    CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ChineseCLIPConfig,
		    ChineseCLIPOnnxConfig,
		    ChineseCLIPTextConfig,
		    ChineseCLIPVisionConfig,
		)
		from .processing_chinese_clip import ChineseCLIPProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_chinese_clip import (
				    CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ChineseCLIPModel,
				    ChineseCLIPPreTrainedModel,
				    ChineseCLIPTextModel,
				    ChineseCLIPVisionModel,
				)

else:
		import sys

		__lowerCamelCase					:	Any       =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
