ez_wsi_dicomweb/patch_embedding.py [654:685]:
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    ensemble_method: Optional[
        patch_embedding_ensemble_methods.PatchEnsembleMethod
    ] = None,
) -> PatchEmbeddingSequence:
  """Returns Itertor of embeddings for a level of whole slide pyramid.

  Args:
    endpoint: Patch embedding endpoint to use.
    slide: DICOM Slide to extract patches from.
    ps: Pixel spacing of the slide pyramid level to extract patches from.
    patch_size: Size of the patch to extract defaults to endpoint patch size.
    mask: If provided, will be used as the embedding patch sampling mask.
    stride_size: Stride size to use when extracting patches defaults to patch
      size.
    min_luminance: Regions with luminance (grayscale) < this threshold are to be
      considered non-tissue background, and will be discarded in the patch
      sampling.
    max_luminance: Regions with luminance (grayscale) > this threshold are to be
      considered non-tissue background, and will be discarded in the patch
      sampling.
    mask_level: Pyramid level to use to determine where tissue is present if a
      tissue mask is not provded.
    ensemble_method: Method to use to genenerate embedding patches; required
      only patch dimensions != endpoint patch dimensions.

  Returns:
    Sequence of embedding results
  """
  if patch_size is None:
    patch_size = endpoint.patch_width()
  if stride_size is None:
    stride_size = patch_size
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ez_wsi_dicomweb/patch_embedding.py [725:753]:
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    ensemble_method: Optional[
        patch_embedding_ensemble_methods.PatchEnsembleMethod
    ] = None,
) -> PatchEmbeddingSequence:
  """Returns Itertor of embeddings for a level of whole slide pyramid.

  Args:
    endpoint: Patch embedding endpoint to use.
    image: Image to extract patches from.
    patch_size: Size of the patch to extract defaults to endpoint patch size.
    mask: If provided, will be used as the embedding patch sampling mask.
    stride_size: Stride size to use when extracting patches defaults to patch
      size.
    min_luminance: Regions with luminance (grayscale) < this threshold are to be
      considered non-tissue background, and will be discarded in the patch
      sampling.
    max_luminance: Regions with luminance (grayscale) > this threshold are to be
      considered non-tissue background, and will be discarded in the patch
      sampling.
    ensemble_method: Method to use to genenerate embedding patches; required
      only patch dimensions != endpoint patch dimensions.

  Returns:
    Iterator embedding results
  """
  if patch_size is None:
    patch_size = endpoint.patch_width()
  if stride_size is None:
    stride_size = patch_size
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