


"""simple docstring"""



import os
import re
import shutil
import sys
import tempfile
import unittest

import black


__snake_case       =       os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
__snake_case       =       """    \"\"\"
    Output class for the scheduler's step function output.

    Args:
        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
            denoising loop.
        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            The predicted denoised sample (x_{0}) based on the model output from the current timestep.
            `pred_original_sample` can be used to preview progress or for guidance.
    \"\"\"

    prev_sample: torch.FloatTensor
    pred_original_sample: Optional[torch.FloatTensor] = None
"""







class _lowerCAmelCase							( unittest.TestCase      ):







   def 					lowerCamelCase						(      self		)      ->						int:

       '''simple docstring'''




       snake_case       : int    =       tempfile.mkdtemp()
       os.makedirs(os.path.join(self.diffusers_dir		,      "schedulers/"		)		)
       snake_case       : List[Any]    =       self.diffusers_dir
       shutil.copy(
           os.path.join(UpperCamelCase__		,      "src/diffusers/schedulers/scheduling_ddpm.py"		)		,      os.path.join(self.diffusers_dir		,      "schedulers/scheduling_ddpm.py"		)		,      )







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

       '''simple docstring'''




       snake_case       : Optional[int]    =       "src/diffusers"
       shutil.rmtree(self.diffusers_dir		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__		,      UpperCamelCase__		,      UpperCamelCase__=None		)      ->						Tuple:

       '''simple docstring'''




       snake_case       : str    =       comment + F'\nclass {class_name}(nn.Module):\n' + class_code
       if overwrite_result is not None:
           snake_case       : Optional[int]    =       comment + F'\nclass {class_name}(nn.Module):\n' + overwrite_result
       snake_case       : Dict    =       black.Mode(target_versions={black.TargetVersion.PYaa}		,      line_length=119		)
       snake_case       : Optional[Any]    =       black.format_str(UpperCamelCase__		,      mode=UpperCamelCase__		)
       snake_case       : str    =       os.path.join(self.diffusers_dir		,      "new_code.py"		)
       with open(UpperCamelCase__		,      "w"		,      newline="\n"		) as f:
           f.write(UpperCamelCase__		)
       if overwrite_result is None:
           self.assertTrue(len(check_copies.is_copy_consistent(UpperCamelCase__		)		) == 0		)
       else:
           check_copies.is_copy_consistent(f.name		,      overwrite=UpperCamelCase__		)
           with open(UpperCamelCase__		,      "r"		) as f:
               self.assertTrue(f.read()		,      UpperCamelCase__		)







   def 					lowerCamelCase						(      self		)      ->						Dict:

       '''simple docstring'''




       snake_case       : List[Any]    =       check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput"		)
       self.assertEqual(UpperCamelCase__		,      UpperCamelCase__		)







   def 					lowerCamelCase						(      self		)      ->						List[Any]:

       '''simple docstring'''




       self.check_copy_consistency(
           "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"		,      "DDPMSchedulerOutput"		,      REFERENCE_CODE + "\n"		,      )

       # With no empty line at the end
       self.check_copy_consistency(
           "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"		,      "DDPMSchedulerOutput"		,      UpperCamelCase__		,      )

       # Copy consistency with rename
       self.check_copy_consistency(
           "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"		,      "TestSchedulerOutput"		,      re.sub("DDPM"		,      "Test"		,      UpperCamelCase__		)		,      )

       # Copy consistency with a really long name
       snake_case       : int    =       "TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
       self.check_copy_consistency(
           F'# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}'		,      F'{long_class_name}SchedulerOutput'		,      re.sub("Bert"		,      UpperCamelCase__		,      UpperCamelCase__		)		,      )

       # Copy consistency with overwrite
       self.check_copy_consistency(
           "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"		,      "TestSchedulerOutput"		,      UpperCamelCase__		,      overwrite_result=re.sub("DDPM"		,      "Test"		,      UpperCamelCase__		)		,      )









"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__snake_case       =       {
    """configuration_poolformer""": [
        """POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """PoolFormerConfig""",
        """PoolFormerOnnxConfig""",
    ]
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __snake_case       =       ["""PoolFormerFeatureExtractor"""]
  __snake_case       =       ["""PoolFormerImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __snake_case       =       [
      """POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """PoolFormerForImageClassification""",
      """PoolFormerModel""",
      """PoolFormerPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_poolformer import (
      POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      PoolFormerConfig,
      PoolFormerOnnxConfig,
  )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_poolformer import PoolFormerFeatureExtractor
    from .image_processing_poolformer import PoolFormerImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_poolformer import (
        POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        PoolFormerForImageClassification,
        PoolFormerModel,
        PoolFormerPreTrainedModel,
    )


else:
  import sys

  __snake_case       =       _LazyModule(__name__, globals()["""__file__"""], _import_structure)





