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Update tests results for numpy 1.20.0 from conda-forge with openblas on Apple M1 (macos/arm64)
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| NumPy version 1.20.0 | |
| NumPy relaxed strides checking option: True | |
| NumPy CPU features: NEON NEON_FP16 NEON_VFPV4 ASIMD ASIMDHP? ASIMDDP? | |
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| =================================== FAILURES =================================== | |
| _____ TestUfuncGenericLoops.test_unary_PyUFunc_O_O_method_full[reciprocal] _____ | |
| self = <numpy.core.tests.test_ufunc.TestUfuncGenericLoops object at 0x156fa9040> | |
| ufunc = <ufunc 'reciprocal'> | |
| @pytest.mark.parametrize("ufunc", UNARY_OBJECT_UFUNCS) | |
| def test_unary_PyUFunc_O_O_method_full(self, ufunc): | |
| """Compare the result of the object loop with non-object one""" | |
| val = np.float64(np.pi/4) | |
| class MyFloat(np.float64): | |
| def __getattr__(self, attr): | |
| try: | |
| return super().__getattr__(attr) | |
| except AttributeError: | |
| return lambda: getattr(np.core.umath, attr)(val) | |
| num_arr = np.array([val], dtype=np.float64) | |
| obj_arr = np.array([MyFloat(val)], dtype="O") | |
| with np.errstate(all="raise"): | |
| try: | |
| > res_num = ufunc(num_arr) | |
| E FloatingPointError: divide by zero encountered in reciprocal | |
| MyFloat = <class 'numpy.core.tests.test_ufunc.TestUfuncGenericLoops.test_unary_PyUFunc_O_O_method_full.<locals>.MyFloat'> | |
| num_arr = array([0.78539816]) | |
| obj_arr = array([0.7853981633974483], dtype=object) | |
| self = <numpy.core.tests.test_ufunc.TestUfuncGenericLoops object at 0x156fa9040> | |
| ufunc = <ufunc 'reciprocal'> | |
| val = 0.7853981633974483 | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_ufunc.py:172: FloatingPointError | |
| During handling of the above exception, another exception occurred: | |
| self = <numpy.core.tests.test_ufunc.TestUfuncGenericLoops object at 0x156fa9040> | |
| ufunc = <ufunc 'reciprocal'> | |
| @pytest.mark.parametrize("ufunc", UNARY_OBJECT_UFUNCS) | |
| def test_unary_PyUFunc_O_O_method_full(self, ufunc): | |
| """Compare the result of the object loop with non-object one""" | |
| val = np.float64(np.pi/4) | |
| class MyFloat(np.float64): | |
| def __getattr__(self, attr): | |
| try: | |
| return super().__getattr__(attr) | |
| except AttributeError: | |
| return lambda: getattr(np.core.umath, attr)(val) | |
| num_arr = np.array([val], dtype=np.float64) | |
| obj_arr = np.array([MyFloat(val)], dtype="O") | |
| with np.errstate(all="raise"): | |
| try: | |
| res_num = ufunc(num_arr) | |
| except Exception as exc: | |
| with assert_raises(type(exc)): | |
| > ufunc(obj_arr) | |
| MyFloat = <class 'numpy.core.tests.test_ufunc.TestUfuncGenericLoops.test_unary_PyUFunc_O_O_method_full.<locals>.MyFloat'> | |
| num_arr = array([0.78539816]) | |
| obj_arr = array([0.7853981633974483], dtype=object) | |
| self = <numpy.core.tests.test_ufunc.TestUfuncGenericLoops object at 0x156fa9040> | |
| ufunc = <ufunc 'reciprocal'> | |
| val = 0.7853981633974483 | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_ufunc.py:175: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| miniforge3/envs/sklearn-0241/lib/python3.9/unittest/case.py:226: in __exit__ | |
| self._raiseFailure("{} not raised".format(exc_name)) | |
| exc_name = 'FloatingPointError' | |
| exc_type = None | |
| exc_value = None | |
| self = <unittest.case._AssertRaisesContext object at 0x156fbab80> | |
| tb = None | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <unittest.case._AssertRaisesContext object at 0x156fbab80> | |
| standardMsg = 'FloatingPointError not raised' | |
| def _raiseFailure(self, standardMsg): | |
| msg = self.test_case._formatMessage(self.msg, standardMsg) | |
| > raise self.test_case.failureException(msg) | |
| E AssertionError: FloatingPointError not raised | |
| msg = 'FloatingPointError not raised' | |
| self = <unittest.case._AssertRaisesContext object at 0x156fbab80> | |
| standardMsg = 'FloatingPointError not raised' | |
| miniforge3/envs/sklearn-0241/lib/python3.9/unittest/case.py:163: AssertionError | |
| _____________ TestSharedMemory.test_in_from_2casttype[LONGDOUBLE] ______________ | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17ce272b0> | |
| def test_in_from_2casttype(self): | |
| for t in self.type.cast_types(): | |
| obj = array(self.num2seq, dtype=t.dtype) | |
| > a = self.array([len(self.num2seq)], intent.in_, obj) | |
| a = <numpy.f2py.tests.test_array_from_pyobj.Array object at 0x17ce27370> | |
| obj = array([1, 2]) | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17ce272b0> | |
| t = <numpy.f2py.tests.test_array_from_pyobj.Type object at 0x16c3d8100> | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py:322: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py:313: in <lambda> | |
| Array(Type(request.param), dims, intent, obj) | |
| dims = [2] | |
| intent = Intent(['in']) | |
| obj = array([1, 2]) | |
| request = <SubRequest 'setup_type' for <Function test_in_from_2seq[LONGDOUBLE]>> | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17ce272b0> | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <numpy.f2py.tests.test_array_from_pyobj.Array object at 0x17ce275e0> | |
| typ = <numpy.f2py.tests.test_array_from_pyobj.Type object at 0x16c3d83a0> | |
| dims = [2], intent = Intent(['in']), obj = array([1, 2]) | |
| def __init__(self, typ, dims, intent, obj): | |
| self.type = typ | |
| self.dims = dims | |
| self.intent = intent | |
| self.obj_copy = copy.deepcopy(obj) | |
| self.obj = obj | |
| # arr.dtypechar may be different from typ.dtypechar | |
| self.arr = wrap.call(typ.type_num, dims, intent.flags, obj) | |
| assert_(isinstance(self.arr, ndarray), repr(type(self.arr))) | |
| self.arr_attr = wrap.array_attrs(self.arr) | |
| if len(dims) > 1: | |
| if self.intent.is_intent('c'): | |
| assert_(intent.flags & wrap.F2PY_INTENT_C) | |
| assert_(not self.arr.flags['FORTRAN'], | |
| repr((self.arr.flags, getattr(obj, 'flags', None)))) | |
| assert_(self.arr.flags['CONTIGUOUS']) | |
| assert_(not self.arr_attr[6] & wrap.FORTRAN) | |
| else: | |
| assert_(not intent.flags & wrap.F2PY_INTENT_C) | |
| assert_(self.arr.flags['FORTRAN']) | |
| assert_(not self.arr.flags['CONTIGUOUS']) | |
| assert_(self.arr_attr[6] & wrap.FORTRAN) | |
| if obj is None: | |
| self.pyarr = None | |
| self.pyarr_attr = None | |
| return | |
| if intent.is_intent('cache'): | |
| assert_(isinstance(obj, ndarray), repr(type(obj))) | |
| self.pyarr = array(obj).reshape(*dims).copy() | |
| else: | |
| self.pyarr = array(array(obj, dtype=typ.dtypechar).reshape(*dims), | |
| order=self.intent.is_intent('c') and 'C' or 'F') | |
| assert_(self.pyarr.dtype == typ, | |
| repr((self.pyarr.dtype, typ))) | |
| assert_(self.pyarr.flags['OWNDATA'], (obj, intent)) | |
| self.pyarr_attr = wrap.array_attrs(self.pyarr) | |
| if len(dims) > 1: | |
| if self.intent.is_intent('c'): | |
| assert_(not self.pyarr.flags['FORTRAN']) | |
| assert_(self.pyarr.flags['CONTIGUOUS']) | |
| assert_(not self.pyarr_attr[6] & wrap.FORTRAN) | |
| else: | |
| assert_(self.pyarr.flags['FORTRAN']) | |
| assert_(not self.pyarr.flags['CONTIGUOUS']) | |
| assert_(self.pyarr_attr[6] & wrap.FORTRAN) | |
| assert_(self.arr_attr[1] == self.pyarr_attr[1]) # nd | |
| assert_(self.arr_attr[2] == self.pyarr_attr[2]) # dimensions | |
| if self.arr_attr[1] <= 1: | |
| assert_(self.arr_attr[3] == self.pyarr_attr[3], | |
| repr((self.arr_attr[3], self.pyarr_attr[3], | |
| self.arr.tobytes(), self.pyarr.tobytes()))) # strides | |
| assert_(self.arr_attr[5][-2:] == self.pyarr_attr[5][-2:], | |
| repr((self.arr_attr[5], self.pyarr_attr[5]))) # descr | |
| assert_(self.arr_attr[6] == self.pyarr_attr[6], | |
| repr((self.arr_attr[6], self.pyarr_attr[6], | |
| flags2names(0 * self.arr_attr[6] - self.pyarr_attr[6]), | |
| flags2names(self.arr_attr[6]), intent))) # flags | |
| if intent.is_intent('cache'): | |
| assert_(self.arr_attr[5][3] >= self.type.elsize, | |
| repr((self.arr_attr[5][3], self.type.elsize))) | |
| else: | |
| assert_(self.arr_attr[5][3] == self.type.elsize, | |
| repr((self.arr_attr[5][3], self.type.elsize))) | |
| assert_(self.arr_equal(self.pyarr, self.arr)) | |
| if isinstance(self.obj, ndarray): | |
| if typ.elsize == Type(obj.dtype).elsize: | |
| if not intent.is_intent('copy') and self.arr_attr[1] <= 1: | |
| > assert_(self.has_shared_memory()) | |
| E AssertionError | |
| dims = [2] | |
| intent = Intent(['in']) | |
| obj = array([1, 2]) | |
| self = <numpy.f2py.tests.test_array_from_pyobj.Array object at 0x17ce275e0> | |
| typ = <numpy.f2py.tests.test_array_from_pyobj.Type object at 0x16c3d83a0> | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py:272: AssertionError | |
| ____________ TestSharedMemory.test_f_in_from_23casttype[LONGDOUBLE] ____________ | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17cf34160> | |
| def test_f_in_from_23casttype(self): | |
| for t in self.type.cast_types(): | |
| obj = array(self.num23seq, dtype=t.dtype, order='F') | |
| a = self.array([len(self.num23seq), len(self.num23seq[0])], | |
| intent.in_, obj) | |
| if t.elsize == self.type.elsize: | |
| > assert_(a.has_shared_memory(), repr(t.dtype)) | |
| E AssertionError: <class 'numpy.int64'> | |
| a = <numpy.f2py.tests.test_array_from_pyobj.Array object at 0x17cf34970> | |
| obj = array([[1, 2, 3], | |
| [4, 5, 6]]) | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17cf34160> | |
| t = <numpy.f2py.tests.test_array_from_pyobj.Type object at 0x16c3d8100> | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py:391: AssertionError | |
| ____________ TestSharedMemory.test_c_in_from_23casttype[LONGDOUBLE] ____________ | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17ce4aa90> | |
| def test_c_in_from_23casttype(self): | |
| for t in self.type.cast_types(): | |
| obj = array(self.num23seq, dtype=t.dtype) | |
| a = self.array([len(self.num23seq), len(self.num23seq[0])], | |
| intent.in_.c, obj) | |
| if t.elsize == self.type.elsize: | |
| > assert_(a.has_shared_memory(), repr(t.dtype)) | |
| E AssertionError: <class 'numpy.int64'> | |
| a = <numpy.f2py.tests.test_array_from_pyobj.Array object at 0x17ce4a580> | |
| obj = array([[1, 2, 3], | |
| [4, 5, 6]]) | |
| self = <numpy.f2py.tests.test_array_from_pyobj.TestSharedMemory object at 0x17ce4aa90> | |
| t = <numpy.f2py.tests.test_array_from_pyobj.Type object at 0x16c3d8100> | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py:401: AssertionError | |
| __ TestMaskedArrayInPlaceArithmetics.test_inplace_floor_division_scalar_type ___ | |
| self = <numpy.ma.tests.test_core.TestMaskedArrayInPlaceArithmetics object at 0x17f0ced00> | |
| def test_inplace_floor_division_scalar_type(self): | |
| # Test of inplace division | |
| for t in self.othertypes: | |
| with warnings.catch_warnings(record=True) as w: | |
| warnings.filterwarnings("always") | |
| (x, y, xm) = (_.astype(t) for _ in self.uint8data) | |
| x = arange(10, dtype=t) * t(2) | |
| xm = arange(10, dtype=t) * t(2) | |
| xm[2] = masked | |
| x //= t(2) | |
| xm //= t(2) | |
| assert_equal(x, y) | |
| assert_equal(xm, y) | |
| > assert_equal(len(w), 0, "Failed on type=%s." % t) | |
| self = <numpy.ma.tests.test_core.TestMaskedArrayInPlaceArithmetics object at 0x17f0ced00> | |
| t = <class 'numpy.complex64'> | |
| w = [<warnings.WarningMessage object at 0x17f0cefd0>, <warnings.WarningMessage object at 0x17f0e7040>, <warnings.WarningMessage object at 0x17f0e7070>, <warnings.WarningMessage object at 0x17f0e70a0>] | |
| x = masked_array(data=[0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j, 4.+0.j, 5.+0.j, 6.+0.j, | |
| 7.+0.j, 8.+0.j, 9.+0.j], | |
| mask=False, | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| xm = masked_array(data=[0j, (1+0j), --, (3+0j), (4+0j), (5+0j), (6+0j), (7+0j), | |
| (8+0j), (9+0j)], | |
| ...alse, False, False, False, | |
| False, False], | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| y = masked_array(data=[0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j, 4.+0.j, 5.+0.j, 6.+0.j, | |
| 7.+0.j, 8.+0.j, 9.+0.j], | |
| mask=False, | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/ma/tests/test_core.py:2848: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| actual = 4, desired = 0, err_msg = "Failed on type=<class 'numpy.complex64'>." | |
| def assert_equal(actual, desired, err_msg=''): | |
| """ | |
| Asserts that two items are equal. | |
| """ | |
| # Case #1: dictionary ..... | |
| if isinstance(desired, dict): | |
| if not isinstance(actual, dict): | |
| raise AssertionError(repr(type(actual))) | |
| assert_equal(len(actual), len(desired), err_msg) | |
| for k, i in desired.items(): | |
| if k not in actual: | |
| raise AssertionError(f"{k} not in {actual}") | |
| assert_equal(actual[k], desired[k], f'key={k!r}\n{err_msg}') | |
| return | |
| # Case #2: lists ..... | |
| if isinstance(desired, (list, tuple)) and isinstance(actual, (list, tuple)): | |
| return _assert_equal_on_sequences(actual, desired, err_msg='') | |
| if not (isinstance(actual, ndarray) or isinstance(desired, ndarray)): | |
| msg = build_err_msg([actual, desired], err_msg,) | |
| if not desired == actual: | |
| > raise AssertionError(msg) | |
| E AssertionError: | |
| E Items are not equal: Failed on type=<class 'numpy.complex64'>. | |
| E ACTUAL: 4 | |
| E DESIRED: 0 | |
| actual = 4 | |
| desired = 0 | |
| err_msg = "Failed on type=<class 'numpy.complex64'>." | |
| msg = "\nItems are not equal: Failed on type=<class 'numpy.complex64'>.\n ACTUAL: 4\n DESIRED: 0" | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/ma/testutils.py:129: AssertionError | |
| ___ TestMaskedArrayInPlaceArithmetics.test_inplace_floor_division_array_type ___ | |
| self = <numpy.ma.tests.test_core.TestMaskedArrayInPlaceArithmetics object at 0x17f16de80> | |
| def test_inplace_floor_division_array_type(self): | |
| # Test of inplace division | |
| for t in self.othertypes: | |
| with warnings.catch_warnings(record=True) as w: | |
| warnings.filterwarnings("always") | |
| (x, y, xm) = (_.astype(t) for _ in self.uint8data) | |
| m = xm.mask | |
| a = arange(10, dtype=t) | |
| a[-1] = masked | |
| x //= a | |
| xm //= a | |
| assert_equal(x, y // a) | |
| assert_equal(xm, y // a) | |
| assert_equal( | |
| xm.mask, | |
| mask_or(mask_or(m, a.mask), (a == t(0))) | |
| ) | |
| > assert_equal(len(w), 0, f'Failed on type={t}.') | |
| a = masked_array(data=[0j, (1+0j), (2+0j), (3+0j), (4+0j), (5+0j), (6+0j), | |
| (7+0j), (8+0j), --], | |
| ...alse, False, False, False, | |
| False, True], | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| m = array([ True, False, True, False, False, False, False, False, False, | |
| True]) | |
| self = <numpy.ma.tests.test_core.TestMaskedArrayInPlaceArithmetics object at 0x17f16de80> | |
| t = <class 'numpy.complex64'> | |
| w = [<warnings.WarningMessage object at 0x17f16da90>, <warnings.WarningMessage object at 0x17f16da60>, <warnings.WarningMessage object at 0x17f16da30>, <warnings.WarningMessage object at 0x17f16dd00>] | |
| x = masked_array(data=[--, (1+0j), (1+0j), (1+0j), (1+0j), (1+0j), (1+0j), | |
| (1+0j), (1+0j), --], | |
| ...alse, False, False, False, | |
| False, True], | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| xm = masked_array(data=[--, (1+0j), --, (1+0j), (1+0j), (1+0j), (1+0j), (1+0j), | |
| (1+0j), --], | |
| ...alse, False, False, False, | |
| False, True], | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| y = masked_array(data=[0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j, 4.+0.j, 5.+0.j, 6.+0.j, | |
| 7.+0.j, 8.+0.j, 9.+0.j], | |
| mask=False, | |
| fill_value=(1e+20+0j), | |
| dtype=complex64) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/ma/tests/test_core.py:2868: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| actual = 4, desired = 0, err_msg = "Failed on type=<class 'numpy.complex64'>." | |
| def assert_equal(actual, desired, err_msg=''): | |
| """ | |
| Asserts that two items are equal. | |
| """ | |
| # Case #1: dictionary ..... | |
| if isinstance(desired, dict): | |
| if not isinstance(actual, dict): | |
| raise AssertionError(repr(type(actual))) | |
| assert_equal(len(actual), len(desired), err_msg) | |
| for k, i in desired.items(): | |
| if k not in actual: | |
| raise AssertionError(f"{k} not in {actual}") | |
| assert_equal(actual[k], desired[k], f'key={k!r}\n{err_msg}') | |
| return | |
| # Case #2: lists ..... | |
| if isinstance(desired, (list, tuple)) and isinstance(actual, (list, tuple)): | |
| return _assert_equal_on_sequences(actual, desired, err_msg='') | |
| if not (isinstance(actual, ndarray) or isinstance(desired, ndarray)): | |
| msg = build_err_msg([actual, desired], err_msg,) | |
| if not desired == actual: | |
| > raise AssertionError(msg) | |
| E AssertionError: | |
| E Items are not equal: Failed on type=<class 'numpy.complex64'>. | |
| E ACTUAL: 4 | |
| E DESIRED: 0 | |
| actual = 4 | |
| desired = 0 | |
| err_msg = "Failed on type=<class 'numpy.complex64'>." | |
| msg = "\nItems are not equal: Failed on type=<class 'numpy.complex64'>.\n ACTUAL: 4\n DESIRED: 0" | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/ma/testutils.py:129: AssertionError | |
| =============================== warnings summary =============================== | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_scalarmath.py::TestBaseMath::test_blocked | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_scalarmath.py:88: RuntimeWarning: divide by zero encountered in reciprocal | |
| assert_almost_equal(np.reciprocal(inp2), | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestDivision::test_floor_division_complex | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:286: RuntimeWarning: divide by zero encountered in floor_divide | |
| y = np.floor_divide(x**2, x) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestPower::test_power_float | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:558: RuntimeWarning: divide by zero encountered in reciprocal | |
| assert_almost_equal(x**(-1), [1., 0.5, 1./3]) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1006: RuntimeWarning: divide by zero encountered in reciprocal | |
| y_true128 = myfunc(x_f128) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1013: RuntimeWarning: divide by zero encountered in reciprocal | |
| assert_array_max_ulp(myfunc(x_f64), np.float64(y_true128), | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1020: RuntimeWarning: divide by zero encountered in reciprocal | |
| assert_equal(myfunc(x_f64[::jj]), y_true64[::jj]) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1011: RuntimeWarning: divide by zero encountered in reciprocal | |
| assert_array_max_ulp(myfunc(x_f32), np.float32(y_true128), | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1017: RuntimeWarning: divide by zero encountered in reciprocal | |
| y_true32 = myfunc(x_f32) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1018: RuntimeWarning: divide by zero encountered in reciprocal | |
| y_true64 = myfunc(x_f64) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1021: RuntimeWarning: divide by zero encountered in reciprocal | |
| assert_equal(myfunc(x_f32[::jj]), y_true32[::jj]) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/linalg.py:2158: RuntimeWarning: divide by zero encountered in det | |
| r = _umath_linalg.det(a, signature=signature) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/linalg.py:2158: RuntimeWarning: invalid value encountered in det | |
| r = _umath_linalg.det(a, signature=signature) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/linalg.py:2098: RuntimeWarning: divide by zero encountered in slogdet | |
| sign, logdet = _umath_linalg.slogdet(a, signature=signature) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex64] | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestDet::test_types[complex128] | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/linalg.py:2098: RuntimeWarning: invalid value encountered in slogdet | |
| sign, logdet = _umath_linalg.slogdet(a, signature=signature) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestNormDouble::test_axis | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestNormSingle::test_axis | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestNormInt64::test_axis | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/linalg.py:2569: RuntimeWarning: divide by zero encountered in reciprocal | |
| ret **= (1 / ord) | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestNormDouble::test_axis | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestNormSingle::test_axis | |
| miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/tests/test_linalg.py::TestNormInt64::test_axis | |
| /Users/ogrisel/miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/linalg/linalg.py:2567: RuntimeWarning: divide by zero encountered in reciprocal | |
| absx **= ord | |
| -- Docs: https://docs.pytest.org/en/stable/warnings.html | |
| =========================== short test summary info ============================ | |
| FAILED miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/core/tests/test_ufunc.py::TestUfuncGenericLoops::test_unary_PyUFunc_O_O_method_full[reciprocal] | |
| FAILED miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py::TestSharedMemory::test_in_from_2casttype[LONGDOUBLE] | |
| FAILED miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py::TestSharedMemory::test_f_in_from_23casttype[LONGDOUBLE] | |
| FAILED miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/f2py/tests/test_array_from_pyobj.py::TestSharedMemory::test_c_in_from_23casttype[LONGDOUBLE] | |
| FAILED miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/ma/tests/test_core.py::TestMaskedArrayInPlaceArithmetics::test_inplace_floor_division_scalar_type | |
| FAILED miniforge3/envs/sklearn-0241/lib/python3.9/site-packages/numpy/ma/tests/test_core.py::TestMaskedArrayInPlaceArithmetics::test_inplace_floor_division_array_type | |
| 6 failed, 12284 passed, 102 skipped, 1205 deselected, 19 xfailed, 3 xpassed, 24 warnings in 87.73s (0:01:27) |
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Note a previous version of this log was run in a not properly initialized environment. This has been fixed for the new version of the test logs.