




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_lowerCAmelCase						:   Optional[int]		=   {
    "configuration_swiftformer": [
        "SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwiftFormerConfig",
        "SwiftFormerOnnxConfig",
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCAmelCase						:   Dict		=   [
		    "SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "SwiftFormerForImageClassification",
		    "SwiftFormerModel",
		    "SwiftFormerPreTrainedModel",
		]

if TYPE_CHECKING:
		from .configuration_swiftformer import (
		    SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    SwiftFormerConfig,
		    SwiftFormerOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_swiftformer import (
				    SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SwiftFormerForImageClassification,
				    SwiftFormerModel,
				    SwiftFormerPreTrainedModel,
				)

else:
		import sys

		_lowerCAmelCase						:   Tuple		=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)











import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


_lowerCAmelCase						:   int		=   logging.get_logger(__name__)
class 			_UpperCamelCase      (				lowerCAmelCase		):
      def __init__(			self   :Optional[Any] ,      *lowerCamelCase   :List[str] ,      **lowerCamelCase   :Tuple      )     ->			None:
       warnings.warn(
           "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use YolosImageProcessor instead." ,      lowerCamelCase ,      )
       super().__init__(*lowerCamelCase ,      **lowerCamelCase      )





