docstr: Test conversion of 2D dense with overlapping labels to sparse
  
  dense input: label=2, c=1,t=1,z=1,y=3,x=2
  
      1 0
      1 0
      0 0
      ---
      0 0
      2 2
      0 0
docstr_tok: ["Test","conversion","of","2D","dense","with","overlapping","labels","to","sparse","dense","input",":","label=2",",","c=1",",","t=1",",","z=1",",","y=3",",","x=2","1","0","1","0","0","0","--","-","0","0","2","2","0","0"]
code: def test_01_03_2d_dense_overlap_to_sparse(self):
      """
      Test conversion of 2D dense with overlapping labels to sparse
  
      dense input: label=2, c=1,t=1,z=1,y=3,x=2
  
          1 0
          1 0
          0 0
          ---
          0 0
          2 2
          0 0
      """
      dense = np.array(
          [[1, 0, 1, 0, 0, 0], [0, 0, 2, 2, 0, 0]]
      ).reshape((2, 1, 1, 1, 3, 2))
      indices = lib_seg.indices_from_dense(dense)
      indices_expected = [
          np.array([1], dtype=np.uint8),
          np.array([2], dtype=np.uint8),
      ]
  
      _check_indices(indices, indices_expected)
  
      sparse = lib_seg.convert_dense_to_sparse(dense)
  
      expected_ys = np.array([0, 1, 1, 1], dtype=np.uint16)
      expected_xs = np.array([0, 0, 0, 1], dtype=np.uint16)
      expected_labels = np.array([1, 1, 2, 2], dtype=np.uint8)
  
      np.testing.assert_array_equal(
          sparse[SPARSE_FIELD.y.value], expected_ys
      )
      np.testing.assert_array_equal(
          sparse[SPARSE_FIELD.x.value], expected_xs
      )
      np.testing.assert_array_equal(
          sparse[SPARSE_FIELD.label.value], expected_labels
      )
      np.testing.assert_equal(
          sparse[SPARSE_FIELD.y.value].dtype, expected_ys.dtype
      )
      np.testing.assert_equal(
          sparse[SPARSE_FIELD.x.value].dtype, expected_xs.dtype
      )
      np.testing.assert_equal(
          sparse[SPARSE_FIELD.label.value].dtype, expected_labels.dtype
      )
  
imports: import numpy
  import centrosome.outline
  import cellprofiler_library.functions.segmentation
  from cellprofiler_library.functions.segmentation import SPARSE_FIELD
label_desc: Use image node_id 3 for calling the TestSegmentation obj's underlying member method code with example usage: obj.test_01_03_2d_dense_overlap_to_sparse() without return types