numpy.core.tests.test_multiarray.TestArgmaxArgminCommon

@pytest.mark.parametrize('method', ['max', 'min'])
def test_all(self, method):

@pytest.mark.parametrize('size, axis', itertools.chain(*[[(size, axis) for axis in list(range(-len(size), len(size))) + [None]] ...
@pytest.mark.parametrize('method', [np.argmax, np.argmin])
def test_np_argmin_argmax_keepdims(self, size, axis, method):

@pytest.mark.parametrize('arr_method, np_method', [('argmax', np.argmax), ('argmin', np.argmin)])
def test_np_vs_ndarray(self, arr_method, np_method):

@pytest.mark.leaks_references(reason='replaces None with NULL.')
@pytest.mark.parametrize('method, vals', [('argmax', (10, 30)), ('argmin', (30, 10))])
def test_object_with_NULLs(self, method, vals):

@pytest.mark.parametrize('method', ['argmax', 'argmin'])
def test_output_shape(self, method):

@pytest.mark.parametrize('ndim', [0, 1])
@pytest.mark.parametrize('method', ['argmax', 'argmin'])
def test_ret_is_out(self, ndim, method):

@pytest.mark.parametrize('np_array, method, idx, val', [(np.zeros, 'argmax', 5942, 'as'), (np.ones, 'argmin', 6001, '0')])
def test_unicode(self, np_array, method, idx, val):