numpy.core.tests.test_numeric.TestClip

class documentation

class TestClip:

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Undocumented

Method ​_generate​_data Undocumented
Method ​_generate​_data​_complex Undocumented
Method ​_generate​_flt​_data Undocumented
Method ​_generate​_int32​_data Undocumented
Method ​_generate​_int​_data Undocumented
Method ​_generate​_non​_native​_data Undocumented
Method ​_neg​_byteorder Undocumented
Method clip Undocumented
Method fastclip Undocumented
Method setup Undocumented
Method test​_array​_double Undocumented
Method test​_clip​_all​_none Undocumented
Method test​_clip​_complex Undocumented
Method test​_clip​_func​_takes​_out Undocumented
Method test​_clip​_inplace​_array Undocumented
Method test​_clip​_inplace​_simple Undocumented
Method test​_clip​_invalid​_casting Undocumented
Method test​_clip​_nan Undocumented
Method test​_clip​_non​_contig Undocumented
Method test​_clip​_problem​_cases Undocumented
Method test​_clip​_property A property-based test using Hypothesis.
Method test​_clip​_scalar​_nan​_propagation Undocumented
Method test​_clip​_value​_min​_max​_flip Undocumented
Method test​_clip​_with​_out​_array​_int32 Undocumented
Method test​_clip​_with​_out​_array​_outint32 Undocumented
Method test​_clip​_with​_out​_memory​_overlap Undocumented
Method test​_clip​_with​_out​_simple Undocumented
Method test​_clip​_with​_out​_simple2 Undocumented
Method test​_clip​_with​_out​_simple​_int32 Undocumented
Method test​_clip​_with​_out​_transposed Undocumented
Method test_​Na​T_propagation Undocumented
Method test​_noncontig​_inplace Undocumented
Method test​_object​_clip Undocumented
Method test​_ones​_pathological Undocumented
Method test​_simple​_complex Undocumented
Method test​_simple​_double Undocumented
Method test​_simple​_inplace​_01 Undocumented
Method test​_simple​_inplace​_02 Undocumented
Method test​_simple​_int Undocumented
Method test​_simple​_int32​_inout Undocumented
Method test​_simple​_int32​_out Undocumented
Method test​_simple​_int64​_inout Undocumented
Method test​_simple​_int64​_out Undocumented
Method test​_simple​_nonnative Undocumented
Method test​_simple​_out Undocumented
Method test​_type​_cast​_01 Undocumented
Method test​_type​_cast​_02 Undocumented
Method test​_type​_cast​_03 Undocumented
Method test​_type​_cast​_04 Undocumented
Method test​_type​_cast​_05 Undocumented
Method test​_type​_cast​_06 Undocumented
Method test​_type​_cast​_07 Undocumented
Method test​_type​_cast​_08 Undocumented
Method test​_type​_cast​_09 Undocumented
Method test​_type​_cast​_10 Undocumented
Method test​_type​_cast​_11 Undocumented
Method test​_type​_cast​_12 Undocumented
Instance Variable nc Undocumented
Instance Variable nr Undocumented
def _generate_data(self, n, m):

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def _generate_data_complex(self, n, m):

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def _generate_flt_data(self, n, m):

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def _generate_int32_data(self, n, m):

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def _generate_int_data(self, n, m):

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def _generate_non_native_data(self, n, m):

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def _neg_byteorder(self, a):

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def clip(self, a, m, M, out=None):

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def fastclip(self, a, m, M, out=None, casting=None):

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def setup(self):

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def test_array_double(self):

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def test_clip_all_none(self):

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def test_clip_complex(self):

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def test_clip_func_takes_out(self):

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def test_clip_inplace_array(self):

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def test_clip_inplace_simple(self):

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def test_clip_invalid_casting(self):

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def test_clip_nan(self):

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def test_clip_non_contig(self):

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@pytest.mark.parametrize('arr, amin, amax, exp', [(np.zeros(10, dtype=np.int64), 0, -2**64+1, np.full(10, -2**64+1, dtype=object)), (np.zeros(10, dtype='m8')-1, 0, 0, np.zeros(10, dtype='m8'))])
def test_clip_problem_cases(self, arr, amin, amax, exp):

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@given(data=st.data(), arr=hynp.arrays(dtype=hynp.integer_dtypes()|hynp.floating_dtypes(), shape=hynp.array_shapes()))
def test_clip_property(self, data, arr):

A property-based test using Hypothesis.

This aims for maximum generality: it could in principle generate any valid inputs to np.clip, and in practice generates much more varied inputs than human testers come up with.

Because many of the inputs have tricky dependencies - compatible dtypes and mutually-broadcastable shapes - we use st.data() strategy draw values inside the test function, from strategies we construct based on previous values. An alternative would be to define a custom strategy with @st.composite, but until we have duplicated code inline is fine.

That accounts for most of the function; the actual test is just three lines to calculate and compare actual vs expected results!

@pytest.mark.xfail(reason='no scalar nan propagation yet', raises=AssertionError, strict=True)
@pytest.mark.parametrize('arr, amin, amax', [(np.zeros(10, dtype=np.int64), np.array(np.nan), np.zeros(10, dtype=np.int32))])
@pytest.mark.filterwarnings('ignore::DeprecationWarning')
def test_clip_scalar_nan_propagation(self, arr, amin, amax):

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@pytest.mark.parametrize('amin, amax', [(1, 0), (1, np.zeros(10)), (np.ones(10), np.zeros(10))])
def test_clip_value_min_max_flip(self, amin, amax):

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def test_clip_with_out_array_int32(self):

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def test_clip_with_out_array_outint32(self):

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def test_clip_with_out_memory_overlap(self):

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def test_clip_with_out_simple(self):

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def test_clip_with_out_simple2(self):

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def test_clip_with_out_simple_int32(self):

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def test_clip_with_out_transposed(self):

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@pytest.mark.xfail(reason='propagation doesn\'t match spec')
@pytest.mark.parametrize('arr, amin, amax', [(np.array([1]*10, dtype='m8'), np.timedelta64('NaT'), np.zeros(10, dtype=np.int32))])
@pytest.mark.filterwarnings('ignore::DeprecationWarning')
def test_NaT_propagation(self, arr, amin, amax):

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def test_noncontig_inplace(self):

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def test_object_clip(self):

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@pytest.mark.parametrize('dtype', '?bhilqpBHILQPefdgFDGO')
def test_ones_pathological(self, dtype):

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def test_simple_complex(self):

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def test_simple_double(self):

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def test_simple_inplace_01(self):

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def test_simple_inplace_02(self):

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def test_simple_int(self):

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@pytest.mark.parametrize('casting', [None, 'unsafe'])
def test_simple_int32_inout(self, casting):

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def test_simple_int32_out(self):

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def test_simple_int64_inout(self):

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def test_simple_int64_out(self):

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def test_simple_nonnative(self):

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def test_simple_out(self):

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def test_type_cast_01(self):

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def test_type_cast_02(self):

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def test_type_cast_03(self):

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def test_type_cast_04(self):

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def test_type_cast_05(self):

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def test_type_cast_06(self):

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def test_type_cast_07(self):

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def test_type_cast_08(self):

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def test_type_cast_09(self):

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def test_type_cast_10(self):

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def test_type_cast_11(self):

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def test_type_cast_12(self):

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nc: int =

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nr: int =

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