

from typing import TYPE_CHECKING

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


UpperCamelCase__		 =     {'''configuration_vit''': ['''VIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTConfig''', '''ViTOnnxConfig''']}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase__		 =     ['''ViTFeatureExtractor''']
    UpperCamelCase__		 =     ['''ViTImageProcessor''']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase__		 =     [
        '''VIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''ViTForImageClassification''',
        '''ViTForMaskedImageModeling''',
        '''ViTModel''',
        '''ViTPreTrainedModel''',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase__		 =     [
        '''TFViTForImageClassification''',
        '''TFViTModel''',
        '''TFViTPreTrainedModel''',
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase__		 =     [
        '''FlaxViTForImageClassification''',
        '''FlaxViTModel''',
        '''FlaxViTPreTrainedModel''',
    ]

if TYPE_CHECKING:
    from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_vit import ViTFeatureExtractor
        from .image_processing_vit import ViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_vit import (
            VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTForImageClassification,
            ViTForMaskedImageModeling,
            ViTModel,
            ViTPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
    import sys

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




def 						lowerCamelCase__      ( __A    :int	,__A    :float	,__A    :float		):


       """simple docstring"""




       return round(float(moles / volume		) * nfactor		)







def 						lowerCamelCase__      ( __A    :float	,__A    :float	,__A    :float		):


       """simple docstring"""




       return round(float((moles * 0.0_821 * temperature) / (volume)		)		)







def 						lowerCamelCase__      ( __A    :float	,__A    :float	,__A    :float		):


       """simple docstring"""




       return round(float((moles * 0.0_821 * temperature) / (pressure)		)		)







def 						lowerCamelCase__      ( __A    :float	,__A    :float	,__A    :float		):


       """simple docstring"""




       return round(float((pressure * volume) / (0.0_821 * moles)		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

