from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


A_:      Union[str, Any]        =			{'configuration_cvt': ['CVT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CvtConfig']}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A_:      str        =			[
				    'CVT_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'CvtForImageClassification',
				    'CvtModel',
				    'CvtPreTrainedModel',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A_:      str        =			[
				    'TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'TFCvtForImageClassification',
				    'TFCvtModel',
				    'TFCvtPreTrainedModel',
				]

if TYPE_CHECKING:
				from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_cvt import (
								    CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    CvtForImageClassification,
								    CvtModel,
								    CvtPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_cvt import (
								    TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFCvtForImageClassification,
								    TFCvtModel,
								    TFCvtPreTrainedModel,
								)


else:
				import sys

				A_:      int        =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


A_:      Tuple        =			logging.get_logger(__name__)


class _lowercase					(       _UpperCAmelCase						):





							"""simple docstring"""




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







														'''simple docstring'''






														warnings.warn(
														    """The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
														    """ Please use MobileNetV2ImageProcessor instead."""     ,   UpperCAmelCase     ,   )
														super().__init__(*UpperCAmelCase     ,   **UpperCAmelCase  )


