



'''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 				SCREAMING_SNAKE_CASE:







	"""simple docstring"""






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







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







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

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

@dataclass
class 				SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	lowerCamelCase__			 =       None
	lowerCamelCase__			 =       None
	lowerCamelCase__			 =       None
	# Automatically constructed
	lowerCamelCase__			 =       "dict"
	lowerCamelCase__			 =       None
	lowerCamelCase__			 =       field(default="""TranslationVariableLanguages"""							,		init=A__							,		repr=A__			)







	def      A	(						self			:     List[Any]		)			->		List[str]:
								UpperCAmelCase :       str 							=		sorted(set(self.languages		)		) if self.languages else None
								UpperCAmelCase :       Dict 							=		len(self.languages		) if self.languages else None







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







	def      A	(						self			:     Tuple		,			__snake_case			:     int		)			->		Any:
								UpperCAmelCase :       List[str] 							=		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.
								UpperCAmelCase :       List[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.
								UpperCAmelCase							,		UpperCAmelCase :       Optional[Any] 							=		zip(*sorted(__snake_case		)		)

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







	def      A	(						self			:     Tuple		)			->		Union["FeatureType", Dict[str, "FeatureType"]]:
								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_tf_available, is_torch_available


UpperCamelCase  							=						{
    '''configuration_groupvit''': [
        '''GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''GroupViTConfig''',
        '''GroupViTOnnxConfig''',
        '''GroupViTTextConfig''',
        '''GroupViTVisionConfig''',
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase  							=						[
          '''GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''GroupViTModel''',
          '''GroupViTPreTrainedModel''',
          '''GroupViTTextModel''',
          '''GroupViTVisionModel''',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase  							=						[
          '''TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''TFGroupViTModel''',
          '''TFGroupViTPreTrainedModel''',
          '''TFGroupViTTextModel''',
          '''TFGroupViTVisionModel''',
      ]

if TYPE_CHECKING:
      from .configuration_groupvit import (
          GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
          GroupViTConfig,
          GroupViTOnnxConfig,
          GroupViTTextConfig,
          GroupViTVisionConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_groupvit import (
                GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                GroupViTModel,
                GroupViTPreTrainedModel,
                GroupViTTextModel,
                GroupViTVisionModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_groupvit import (
                TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFGroupViTModel,
                TFGroupViTPreTrainedModel,
                TFGroupViTTextModel,
                TFGroupViTVisionModel,
            )

else:
      import sys

      UpperCamelCase  							=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



