
"""simple docstring"""
from typing import TYPE_CHECKING

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


lowercase_       :						Tuple     					=	{
    '''configuration_blenderbot_small''': [
        '''BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlenderbotSmallConfig''',
        '''BlenderbotSmallOnnxConfig''',
    ],
    '''tokenization_blenderbot_small''': ['''BlenderbotSmallTokenizer'''],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_       :						Dict     					=	['''BlenderbotSmallTokenizerFast''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_       :						int     					=	[
          '''BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''BlenderbotSmallForCausalLM''',
          '''BlenderbotSmallForConditionalGeneration''',
          '''BlenderbotSmallModel''',
          '''BlenderbotSmallPreTrainedModel''',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_       :						int     					=	[
          '''TFBlenderbotSmallForConditionalGeneration''',
          '''TFBlenderbotSmallModel''',
          '''TFBlenderbotSmallPreTrainedModel''',
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_       :						Optional[int]     					=	[
          '''FlaxBlenderbotSmallForConditionalGeneration''',
          '''FlaxBlenderbotSmallModel''',
          '''FlaxBlenderbotSmallPreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_blenderbot_small import (
          BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
          BlenderbotSmallConfig,
          BlenderbotSmallOnnxConfig,
      )
      from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_blenderbot_small import (
                BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
                BlenderbotSmallForCausalLM,
                BlenderbotSmallForConditionalGeneration,
                BlenderbotSmallModel,
                BlenderbotSmallPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_blenderbot_small import (
                TFBlenderbotSmallForConditionalGeneration,
                TFBlenderbotSmallModel,
                TFBlenderbotSmallPreTrainedModel,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_blenderbot_small import (
                FlaxBlenderbotSmallForConditionalGeneration,
                FlaxBlenderbotSmallModel,
                FlaxBlenderbotSmallPreTrainedModel,
            )

else:
      import sys

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





"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowercase_       :						Union[str, Any]     					=	logging.get_logger(__name__)
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     def __init__(     self  ,     *snake_case__  ,     **snake_case__				):




       """simple docstring"""


       warnings.warn(
           "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
           " Please use LayoutLMv2ImageProcessor instead."  ,     snake_case__  ,     )
       super().__init__(*snake_case__  ,     **snake_case__				)



