numpy.lib.tests.test_arraysetops.TestSetOps

class documentation

class TestSetOps: (source)

Undocumented

Method	`test_ediff1d`	Undocumented
Method	`test_ediff1d_forbidden_type_casts`	Undocumented
Method	`test_ediff1d_scalar_handling`	Undocumented
Method	`test_in1d`	Undocumented
Method	`test_in1d_boolean`	Test that in1d works for boolean input
Method	`test_in1d_both_arrays_are_object`	Undocumented
Method	`test_in1d_both_arrays_have_structured_dtype`	Undocumented
Method	`test_in1d_char_array`	Undocumented
Method	`test_in1d_errors`	Test that in1d raises expected errors.
Method	`test_in1d_first_array_is_object`	Undocumented
Method	`test_in1d_hit_alternate_algorithm`	Hit the standard isin code with integers
Method	`test_in1d_invert`	Test in1d's invert parameter
Method	`test_in1d_mixed_boolean`	Test that in1d works as expected for bool/int input.
Method	`test_in1d_mixed_dtype`	Test that in1d works as expected for mixed dtype input.
Method	`test_in1d_ravel`	Undocumented
Method	`test_in1d_second_array_is_object`	Undocumented
Method	`test_in1d_table_timedelta_fails`	Undocumented
Method	`test_in1d_timedelta`	Test that in1d works for timedelta input
Method	`test_in1d_with_arrays_containing_tuples`	Undocumented
Method	`test_intersect1d`	Undocumented
Method	`test_intersect1d_array_like`	Undocumented
Method	`test_intersect1d_indices`	Undocumented
Method	`test_isin`	Undocumented
Method	`test_manyways`	Undocumented
Method	`test_setdiff1d`	Undocumented
Method	`test_setdiff1d_char_array`	Undocumented
Method	`test_setdiff1d_unique`	Undocumented
Method	`test_setxor1d`	Undocumented
Method	`test_union1d`	Undocumented

def test_ediff1d(self): (source) ¶

Undocumented

@pytest.mark.parametrize('ary, prepend, append, expected', [(np.array([1, 2, 3], dtype=np.int64), None, np.nan, 'to_end'), (np.array([1, 2, 3], dtype=np.int64), np.array([5, 7, 2], dtype=np.float32), None, 'to_begin'), (np.array([1.0, 3.0, 9.0], dtype=np.int8), np.nan, np.nan, 'to_begin')])
def test_ediff1d_forbidden_type_casts(self, ary, prepend, append, expected): (source) ¶

Undocumented

@pytest.mark.parametrize('ary,prepend,append,expected', [(np.array([1, 2, 3], dtype=np.int16), 2**16, 2**16+4, np.array([0, 1, 1, 4], dtype=np.int16)), (np.array([1, 2, 3], dtype=np.float32), np.array([5], dtype=np.float64), None, np.array([5, 1, 1], dtype=np.float32)), (np.array([1, 2, 3], dtype=np.int32), 0, 0, np.array([0, 1, 1, 0], dtype=np.int32)), (np.array([1, 2, 3], dtype=np.int64), 3, -9, np.array([3, 1, 1, -9], dtype=np.int64))])
def test_ediff1d_scalar_handling(self, ary, prepend, append, expected): (source) ¶

Undocumented

@pytest.mark.parametrize('kind', [None, 'sort', 'table'])
def test_in1d(self, kind): (source) ¶

Undocumented

@pytest.mark.parametrize('kind', [None, 'sort', 'table'])
def test_in1d_boolean(self, kind): (source) ¶

Test that in1d works for boolean input

def test_in1d_both_arrays_are_object(self): (source) ¶

Undocumented

def test_in1d_both_arrays_have_structured_dtype(self): (source) ¶

Undocumented

def test_in1d_char_array(self): (source) ¶

Undocumented

def test_in1d_errors(self): (source) ¶

Test that in1d raises expected errors.

def test_in1d_first_array_is_object(self): (source) ¶

Undocumented

def test_in1d_hit_alternate_algorithm(self): (source) ¶

Hit the standard isin code with integers

@pytest.mark.parametrize('kind', [None, 'sort', 'table'])
def test_in1d_invert(self, kind): (source) ¶

Test in1d's invert parameter

@pytest.mark.parametrize('kind', [None, 'sort', 'table'])
def test_in1d_mixed_boolean(self, kind): (source) ¶

Test that in1d works as expected for bool/int input.

@pytest.mark.parametrize('dtype1,dtype2', [(np.int8, np.int16), (np.int16, np.int8), (np.uint8, np.uint16), (np.uint16, np.uint8), (np.uint8, np.int16), (np.int16, np.uint8)])
@pytest.mark.parametrize('kind', [None, 'sort', 'table'])
def test_in1d_mixed_dtype(self, dtype1, dtype2, kind): (source) ¶

Test that in1d works as expected for mixed dtype input.