




'''simple docstring'''






from typing import TYPE_CHECKING

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


_lowerCAmelCase      	=					{
    '''configuration_efficientformer''': [
        '''EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EfficientFormerConfig''',
    ]
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase      	=					['''EfficientFormerImageProcessor''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase      	=					[
				    '''EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''EfficientFormerForImageClassification''',
				    '''EfficientFormerForImageClassificationWithTeacher''',
				    '''EfficientFormerModel''',
				    '''EfficientFormerPreTrainedModel''',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase      	=					[
				    '''TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''TFEfficientFormerForImageClassification''',
				    '''TFEfficientFormerForImageClassificationWithTeacher''',
				    '''TFEfficientFormerModel''',
				    '''TFEfficientFormerPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .image_processing_efficientformer import EfficientFormerImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_efficientformer import (
								    EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    EfficientFormerForImageClassification,
								    EfficientFormerForImageClassificationWithTeacher,
								    EfficientFormerModel,
								    EfficientFormerPreTrainedModel,
								)
				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_efficientformer import (
								    TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFEfficientFormerForImageClassification,
								    TFEfficientFormerForImageClassificationWithTeacher,
								    TFEfficientFormerModel,
								    TFEfficientFormerPreTrainedModel,
								)

else:
				import sys

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








'''simple docstring'''





import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def        a_     (							*_lowerCAmelCase       ,_lowerCAmelCase = None       ,_lowerCAmelCase=True       ,_lowerCAmelCase=2       )      ->      List[str]:
  from .. import __version__

  __lowerCamelCase       :       Any           = take_from
  __lowerCamelCase       :       Optional[int]           = ()
  if not isinstance(args[0]       ,_lowerCAmelCase       ):
    __lowerCamelCase       :       Optional[Any]           = (args,)

  for attribute, version_name, message in args:
    if version.parse(version.parse(_lowerCAmelCase       ).base_version       ) >= version.parse(_lowerCAmelCase       ):
      raise ValueError(
          F'The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''
          F' version {__version__} is >= {version_name}'       )

    __lowerCamelCase       :       Union[str, Any]           = None
    if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and attribute in deprecated_kwargs:
      values += (deprecated_kwargs.pop(_lowerCAmelCase       ),)
      __lowerCamelCase       :       Optional[Any]           = F'The `{attribute}` argument is deprecated and will be removed in version {version_name}.'
    elif hasattr(_lowerCAmelCase       ,_lowerCAmelCase       ):
      values += (getattr(_lowerCAmelCase       ,_lowerCAmelCase       ),)
      __lowerCamelCase       :       List[str]           = F'The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'
    elif deprecated_kwargs is None:
      __lowerCamelCase       :       Optional[Any]           = F'`{attribute}` is deprecated and will be removed in version {version_name}.'

    if warning is not None:
      __lowerCamelCase       :       Optional[int]           = warning + ' ' if standard_warn else ''
      warnings.warn(warning + message       ,_lowerCAmelCase       ,stacklevel=_lowerCAmelCase       )

  if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and len(_lowerCAmelCase       ) > 0:
    __lowerCamelCase       :       Optional[Any]           = inspect.getouterframes(inspect.currentframe()       )[1]
    __lowerCamelCase       :       List[str]           = call_frame.filename
    __lowerCamelCase       :       int           = call_frame.lineno
    __lowerCamelCase       :       Union[str, Any]           = call_frame.function
    __lowerCamelCase       ,__lowerCamelCase       :       Union[str, Any]           = next(iter(deprecated_kwargs.items()       )       )
    raise TypeError(F'{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`'       )

  if len(_lowerCAmelCase       ) == 0:
    return
  elif len(_lowerCAmelCase       ) == 1:
    return values[0]
  return values






