code: def test_winding():
      t = np.array(
          [
              [63.90763092, 66.25634766, 74.84692383],
              [63.19578171, 65.95800018, 74.77872467],
              [61.79797363, 64.91297913, 75.04083252],
              [60.22916412, 64.11988068, 75.12763214],
              [59.47861481, 63.50800323, 75.25228882],
              [58.29077911, 62.88838959, 75.59411621],
              [57.40341568, 62.48369217, 75.46385193],
              [56.08355713, 61.64668274, 75.50260162],
              [54.88656616, 60.34751129, 75.49420929],
              [52.57548523, 58.3325882, 76.18450928],
              [50.99916077, 56.06463623, 76.07842255],
              [50.2379303, 54.92457962, 76.14080811],
              [49.29185867, 54.21960449, 76.04216003],
              [48.56259918, 53.58783722, 75.95063782],
              [48.13407516, 53.19916534, 75.91035461],
              [47.29430389, 52.12264252, 76.05912018],
          ],
          dtype=np.float32,
      )
      assert_equal(np.isnan(tm.winding(t)), False)
  
file_path: dipy/dipy/tracking/tests/test_metrics.py
imports: import numpy
  import numpy.testing
  from numpy.testing import assert_equal, assert_array_almost_equal
  from dipy.tracking import metrics
  from dipy.tracking import distances
  from dipy.utils.deprecator import ExpiredDeprecationError
  from dipy.testing.decorators import set_random_number_generator
label_desc: Use image node_id 7 for calling a global function with example usage: test_winding() without return types