docstr: test that h-minima works correctly for large h
docstr_tok: ["test","that","h-minima","works","correctly","for","large","h"]
code: def test_h_minima_large_h(self):
      """test that h-minima works correctly for large h"""
      data = np.array(
          [
              [14, 14, 14, 14, 14],
              [14, 11, 11, 11, 14],
              [14, 11, 10, 11, 14],
              [14, 11, 11, 11, 14],
              [14, 14, 14, 14, 14],
          ],
          dtype=np.uint8,
      )
  
      maxima = extrema.h_minima(data, 5)
      assert np.sum(maxima) == 0
  
      data = np.array(
          [
              [14, 14, 14, 14, 14],
              [14, 11, 11, 11, 14],
              [14, 11, 10, 11, 14],
              [14, 11, 11, 11, 14],
              [14, 14, 14, 14, 14],
          ],
          dtype=np.float32,
      )
  
      maxima = extrema.h_minima(data, 5.0)
      assert np.sum(maxima) == 0
  
imports: import math
  import unittest
  import numpy
  from numpy.testing import assert_equal
  from pytest import raises, warns
  from skimage._shared.testing import expected_warnings
  from skimage.morphology import extrema
label_desc: Use image node_id 10 for calling the TestExtrema obj's underlying member method code with example usage: obj.test_h_minima_large_h() without return types