code: def test_vectorize(capture):
      assert np.isclose(m.vectorized_func3(np.array(3 + 7j)), [6 + 14j])
  
      for f in [m.vectorized_func, m.vectorized_func2]:
          with capture:
              assert np.isclose(f(1, 2, 3), 6)
          assert capture == "my_func(x:int=1, y:float=2, z:float=3)"
          with capture:
              assert np.isclose(f(np.array(1), np.array(2), 3), 6)
          assert capture == "my_func(x:int=1, y:float=2, z:float=3)"
          with capture:
              assert np.allclose(
                  f(np.array([1, 3]), np.array([2, 4]), 3), [6, 36]
              )
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=3)
              my_func(x:int=3, y:float=4, z:float=3)
          """
          )
          with capture:
              a = np.array([[1, 2], [3, 4]], order="F")
              b = np.array([[10, 20], [30, 40]], order="F")
              c = 3
              result = f(a, b, c)
              assert np.allclose(result, a * b * c)
              assert result.flags.f_contiguous
          # All inputs are F order and full or singletons, so we the result is in col-major order:
          assert (
              capture
              == """
              my_func(x:int=1, y:float=10, z:float=3)
              my_func(x:int=3, y:float=30, z:float=3)
              my_func(x:int=2, y:float=20, z:float=3)
              my_func(x:int=4, y:float=40, z:float=3)
          """
          )
          with capture:
              a, b, c = (
                  np.array([[1, 3, 5], [7, 9, 11]]),
                  np.array([[2, 4, 6], [8, 10, 12]]),
                  3,
              )
              assert np.allclose(f(a, b, c), a * b * c)
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=3)
              my_func(x:int=3, y:float=4, z:float=3)
              my_func(x:int=5, y:float=6, z:float=3)
              my_func(x:int=7, y:float=8, z:float=3)
              my_func(x:int=9, y:float=10, z:float=3)
              my_func(x:int=11, y:float=12, z:float=3)
          """
          )
          with capture:
              a, b, c = (
                  np.array([[1, 2, 3], [4, 5, 6]]),
                  np.array([2, 3, 4]),
                  2,
              )
              assert np.allclose(f(a, b, c), a * b * c)
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=2)
              my_func(x:int=2, y:float=3, z:float=2)
              my_func(x:int=3, y:float=4, z:float=2)
              my_func(x:int=4, y:float=2, z:float=2)
              my_func(x:int=5, y:float=3, z:float=2)
              my_func(x:int=6, y:float=4, z:float=2)
          """
          )
          with capture:
              a, b, c = (
                  np.array([[1, 2, 3], [4, 5, 6]]),
                  np.array([[2], [3]]),
                  2,
              )
              assert np.allclose(f(a, b, c), a * b * c)
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=2)
              my_func(x:int=2, y:float=2, z:float=2)
              my_func(x:int=3, y:float=2, z:float=2)
              my_func(x:int=4, y:float=3, z:float=2)
              my_func(x:int=5, y:float=3, z:float=2)
              my_func(x:int=6, y:float=3, z:float=2)
          """
          )
          with capture:
              a, b, c = (
                  np.array([[1, 2, 3], [4, 5, 6]], order="F"),
                  np.array([[2], [3]]),
                  2,
              )
              assert np.allclose(f(a, b, c), a * b * c)
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=2)
              my_func(x:int=2, y:float=2, z:float=2)
              my_func(x:int=3, y:float=2, z:float=2)
              my_func(x:int=4, y:float=3, z:float=2)
              my_func(x:int=5, y:float=3, z:float=2)
              my_func(x:int=6, y:float=3, z:float=2)
          """
          )
          with capture:
              a, b, c = (
                  np.array([[1, 2, 3], [4, 5, 6]])[::, ::2],
                  np.array([[2], [3]]),
                  2,
              )
              assert np.allclose(f(a, b, c), a * b * c)
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=2)
              my_func(x:int=3, y:float=2, z:float=2)
              my_func(x:int=4, y:float=3, z:float=2)
              my_func(x:int=6, y:float=3, z:float=2)
          """
          )
          with capture:
              a, b, c = (
                  np.array([[1, 2, 3], [4, 5, 6]], order="F")[::, ::2],
                  np.array([[2], [3]]),
                  2,
              )
              assert np.allclose(f(a, b, c), a * b * c)
          assert (
              capture
              == """
              my_func(x:int=1, y:float=2, z:float=2)
              my_func(x:int=3, y:float=2, z:float=2)
              my_func(x:int=4, y:float=3, z:float=2)
              my_func(x:int=6, y:float=3, z:float=2)
          """
          )
  
file_path: coremltools/deps/pybind11/tests/test_numpy_vectorize.py
imports: import pytest
  from pybind11_tests import numpy_vectorize
label_desc: Use image node_id 1 for calling a global function with example usage: test_vectorize(capture) without return types