from typing import TYPE_CHECKING

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


UpperCAmelCase__	:       Optional[int]			      =      {
    """configuration_switch_transformers""": [
        """SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SwitchTransformersConfig""",
        """SwitchTransformersOnnxConfig""",
    ]
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__	:       Union[str, Any]			      =      [
      """SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """SwitchTransformersEncoderModel""",
      """SwitchTransformersForConditionalGeneration""",
      """SwitchTransformersModel""",
      """SwitchTransformersPreTrainedModel""",
      """SwitchTransformersTop1Router""",
      """SwitchTransformersSparseMLP""",
  ]


if TYPE_CHECKING:
  from .configuration_switch_transformers import (
      SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
      SwitchTransformersConfig,
      SwitchTransformersOnnxConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_switch_transformers import (
        SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
        SwitchTransformersEncoderModel,
        SwitchTransformersForConditionalGeneration,
        SwitchTransformersModel,
        SwitchTransformersPreTrainedModel,
        SwitchTransformersSparseMLP,
        SwitchTransformersTopaRouter,
    )


else:
  import sys

  UpperCAmelCase__	:       List[str]			      =      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)







import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

UpperCAmelCase__	:       Dict			      =      [(1,)]






def    __lowercase (       )       ->  Tuple:
      SCREAMING_SNAKE_CASE	: Optional[Any]					       =				bool(os.getenv("""RUN_SLOW"""  ,      0     )     )
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"






def    __lowercase (       )       ->  Optional[Any]:
      SCREAMING_SNAKE_CASE	: Dict					       =				bool(os.getenv("""RUN_SLOW"""  ,      0     )     )
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"







@require_torch
class     a__    (				unittest.TestCase    ):







  """simple docstring"""




  @slow
  @require_torch_gpu
  def 	_lowercase (     self      :	Any						)   ->Optional[Any]:
        """simple docstring"""







        check_slow_torch_cuda()


  @require_torch_gpu
  @slow
  def 	_lowercase (     self      :	Optional[Any]						)   ->Any:
        """simple docstring"""







        check_slow_torch_cuda()




  @parameterized.expand(UpperCAmelCase__						)
  @slow
  def 	_lowercase (     self      :	Optional[int]			,			UpperCAmelCase__      :	Dict=None						)   ->Optional[Any]:
        """simple docstring"""







        check_slow()






@slow
@require_torch_gpu
def    __lowercase (       )       ->  Optional[int]:
      check_slow_torch_cuda()






@require_torch_gpu
@slow
def    __lowercase (       )       ->  int:
      check_slow_torch_cuda()






@slow
@pytest.mark.parametrize("""param"""  ,      [1]     )
def    __lowercase (       _A     )       ->  Optional[int]:
      check_slow()







@pytest.mark.parametrize("""param"""  ,      [1]     )
@slow
def    __lowercase (       _A     )       ->  str:
      check_slow()




