from typing import TYPE_CHECKING

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


a_							=      {
    "configuration_deberta": ["DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaConfig", "DebertaOnnxConfig"],
    "tokenization_deberta": ["DebertaTokenizer"],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_							=      ["DebertaTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_							=      [
           "DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DebertaForMaskedLM",
           "DebertaForQuestionAnswering",
           "DebertaForSequenceClassification",
           "DebertaForTokenClassification",
           "DebertaModel",
           "DebertaPreTrainedModel",
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_							=      [
           "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TFDebertaForMaskedLM",
           "TFDebertaForQuestionAnswering",
           "TFDebertaForSequenceClassification",
           "TFDebertaForTokenClassification",
           "TFDebertaModel",
           "TFDebertaPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaOnnxConfig
       from .tokenization_deberta import DebertaTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_deberta_fast import DebertaTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deberta import (
                  DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DebertaForMaskedLM,
                  DebertaForQuestionAnswering,
                  DebertaForSequenceClassification,
                  DebertaForTokenClassification,
                  DebertaModel,
                  DebertaPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_deberta import (
                  TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFDebertaForMaskedLM,
                  TFDebertaForQuestionAnswering,
                  TFDebertaForSequenceClassification,
                  TFDebertaForTokenClassification,
                  TFDebertaModel,
                  TFDebertaPreTrainedModel,
              )


else:
       import sys

       a_							=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




import inspect
import unittest


class 			UpperCAmelCase__    (		unittest.TestCase					):



  """simple docstring"""






  def 	_UpperCAmelCase				(				self:			Union[str, Any]   ) -> Dict:




    '''simple docstring'''




    try:
      import diffusers  # noqa: F401
    except ImportError:
      assert False






  def 	_UpperCAmelCase				(				self:			Dict   ) -> Dict:




    '''simple docstring'''




    import diffusers
    from diffusers.dependency_versions_table import deps

    __UpperCAmelCase						    =       inspect.getmembers(__lowerCAmelCase				,				inspect.isclass   )

    for cls_name, cls_module in all_classes:
      if "dummy_" in cls_module.__module__:
        for backend in cls_module._backends:
          if backend == "k_diffusion":
            __UpperCAmelCase						    =       "k-diffusion"
          elif backend == "invisible_watermark":
            __UpperCAmelCase						    =       "invisible-watermark"
          assert backend in deps, F'''{backend} is not in the deps table!'''



