BLD: fix math func feature checks, fix FreeBSD build, add CI job by rgommers · Pull Request #24876 · numpy/numpy

rgommers · 2023-10-07T11:39:29Z

Should fix the build on FreeBSD and other OSes that are not C99-compliant.

rgommers · 2023-10-07T16:05:08Z

I like that it gets billed per second, this should remain very reasonably priced:

rgommers · 2023-10-07T17:33:30Z

That fixed the missing symbol issue, now 8 new failures:

FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py::test_npymath_complex[clongdouble-inf-inf-npy_cabs-absolute] - RuntimeWarning: invalid value encountered in absolute
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py::test_npymath_complex[clongdouble-inf--inf-npy_cabs-absolute] - RuntimeWarning: invalid value encountered in absolute
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py::test_npymath_complex[clongdouble--inf-inf-npy_cabs-absolute] - RuntimeWarning: invalid value encountered in absolute
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py::test_npymath_complex[clongdouble--inf--inf-npy_cabs-absolute] - RuntimeWarning: invalid value encountered in absolute
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py::TestFloatExceptions::test_floating_exceptions[g] - AssertionError: Type <class 'numpy.longdouble'> did not raise fpe error 'overflow'.
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py::TestFloatExceptions::test_floating_exceptions[G] - AssertionError: Type <class 'numpy.clongdouble'> raised wrong fpe error 'invalid value encountered in power'.
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_umath.py::TestSpecialFloats::test_cosh - AssertionError: FloatingPointError not raised by cosh
FAILED ../.venv/lib/python3.9/site-packages/numpy/core/tests/test_umath_complex.py::TestSpecialComplexAVX::test_array[complex64--1] - RuntimeWarning: invalid value encountered in absolute
= 8 failed, 41302 passed, 1793 skipped, 1304 deselected, 34 xfailed, 4 xpassed in 242.27s (0:04:02) =

Full output:

Details

=================================== FAILURES ===================================
_________ test_npymath_complex[clongdouble-inf-inf-npy_cabs-absolute] __________
fun = <built-in function npy_cabs>, npfun = <ufunc 'absolute'>, x = inf, y = inf
test_dtype = <class 'numpy.clongdouble'>
    @pytest.mark.parametrize(
        ["fun", "npfun"],
        [
            (_multiarray_tests.npy_cabs, np.absolute),
            (_multiarray_tests.npy_carg, np.angle)
        ]
    )
    @pytest.mark.parametrize("x", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("y", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("test_dtype", np.complexfloating.__subclasses__())
    def test_npymath_complex(fun, npfun, x, y, test_dtype):
        # Smoketest npymath functions
        z = test_dtype(complex(x, y))
        got = fun(z)
>       expected = npfun(z)
E       RuntimeWarning: invalid value encountered in absolute
fun        = <built-in function npy_cabs>
got        = array(inf)
npfun      = <ufunc 'absolute'>
test_dtype = <class 'numpy.clongdouble'>
x          = inf
y          = inf
z          = np.clongdouble('inf+infj')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py:9710: RuntimeWarning
_________ test_npymath_complex[clongdouble-inf--inf-npy_cabs-absolute] _________
fun = <built-in function npy_cabs>, npfun = <ufunc 'absolute'>, x = -inf
y = inf, test_dtype = <class 'numpy.clongdouble'>
    @pytest.mark.parametrize(
        ["fun", "npfun"],
        [
            (_multiarray_tests.npy_cabs, np.absolute),
            (_multiarray_tests.npy_carg, np.angle)
        ]
    )
    @pytest.mark.parametrize("x", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("y", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("test_dtype", np.complexfloating.__subclasses__())
    def test_npymath_complex(fun, npfun, x, y, test_dtype):
        # Smoketest npymath functions
        z = test_dtype(complex(x, y))
        got = fun(z)
>       expected = npfun(z)
E       RuntimeWarning: invalid value encountered in absolute
fun        = <built-in function npy_cabs>
got        = array(inf)
npfun      = <ufunc 'absolute'>
test_dtype = <class 'numpy.clongdouble'>
x          = -inf
y          = inf
z          = np.clongdouble('-inf+infj')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py:9710: RuntimeWarning
_________ test_npymath_complex[clongdouble--inf-inf-npy_cabs-absolute] _________
fun = <built-in function npy_cabs>, npfun = <ufunc 'absolute'>, x = inf
y = -inf, test_dtype = <class 'numpy.clongdouble'>
    @pytest.mark.parametrize(
        ["fun", "npfun"],
        [
            (_multiarray_tests.npy_cabs, np.absolute),
            (_multiarray_tests.npy_carg, np.angle)
        ]
    )
    @pytest.mark.parametrize("x", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("y", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("test_dtype", np.complexfloating.__subclasses__())
    def test_npymath_complex(fun, npfun, x, y, test_dtype):
        # Smoketest npymath functions
        z = test_dtype(complex(x, y))
        got = fun(z)
>       expected = npfun(z)
E       RuntimeWarning: invalid value encountered in absolute
fun        = <built-in function npy_cabs>
got        = array(inf)
npfun      = <ufunc 'absolute'>
test_dtype = <class 'numpy.clongdouble'>
x          = inf
y          = -inf
z          = np.clongdouble('inf-infj')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py:9710: RuntimeWarning
________ test_npymath_complex[clongdouble--inf--inf-npy_cabs-absolute] _________
fun = <built-in function npy_cabs>, npfun = <ufunc 'absolute'>, x = -inf
y = -inf, test_dtype = <class 'numpy.clongdouble'>
    @pytest.mark.parametrize(
        ["fun", "npfun"],
        [
            (_multiarray_tests.npy_cabs, np.absolute),
            (_multiarray_tests.npy_carg, np.angle)
        ]
    )
    @pytest.mark.parametrize("x", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("y", [1, np.inf, -np.inf, np.nan])
    @pytest.mark.parametrize("test_dtype", np.complexfloating.__subclasses__())
    def test_npymath_complex(fun, npfun, x, y, test_dtype):
        # Smoketest npymath functions
        z = test_dtype(complex(x, y))
        got = fun(z)
>       expected = npfun(z)
E       RuntimeWarning: invalid value encountered in absolute
fun        = <built-in function npy_cabs>
got        = array(inf)
npfun      = <ufunc 'absolute'>
test_dtype = <class 'numpy.clongdouble'>
x          = -inf
y          = -inf
z          = np.clongdouble('-inf-infj')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_multiarray.py:9710: RuntimeWarning
_______________ TestFloatExceptions.test_floating_exceptions[g] ________________
self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fbac0>
typecode = 'g'
    @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support")
    @pytest.mark.parametrize("typecode", np.typecodes["AllFloat"])
    def test_floating_exceptions(self, typecode):
        # Test basic arithmetic function errors
        with np.errstate(all='raise'):
            ftype = obj2sctype(typecode)
            if np.dtype(ftype).kind == 'f':
                # Get some extreme values for the type
                fi = np.finfo(ftype)
                ft_tiny = fi._machar.tiny
                ft_max = fi.max
                ft_eps = fi.eps
                underflow = 'underflow'
                divbyzero = 'divide by zero'
            else:
                # 'c', complex, corresponding real dtype
                rtype = type(ftype(0).real)
                fi = np.finfo(rtype)
                ft_tiny = ftype(fi._machar.tiny)
                ft_max = ftype(fi.max)
                ft_eps = ftype(fi.eps)
                # The complex types raise different exceptions
                underflow = ''
                divbyzero = ''
            overflow = 'overflow'
            invalid = 'invalid'
    
            # The value of tiny for double double is NaN, so we need to
            # pass the assert
            if not np.isnan(ft_tiny):
                self.assert_raises_fpe(underflow,
                                    lambda a, b: a/b, ft_tiny, ft_max)
                self.assert_raises_fpe(underflow,
                                    lambda a, b: a*b, ft_tiny, ft_tiny)
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a*b, ft_max, ftype(2))
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a/b, ft_max, ftype(0.5))
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a+b, ft_max, ft_max*ft_eps)
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a-b, -ft_max, ft_max*ft_eps)
>           self.assert_raises_fpe(overflow,
                                   np.power, ftype(2), ftype(2**fi.nexp))
divbyzero  = 'divide by zero'
fi         = finfo(resolution=1e-18, min=-1.189731495357231765e+4932, max=1.189731495357231765e+4932, dtype=float128)
ft_eps     = np.longdouble('1.084202172485504434e-19')
ft_max     = np.longdouble('1.189731495357231765e+4932')
ft_tiny    = array(3.36210314e-4932, dtype=float128)
ftype      = <class 'numpy.longdouble'>
invalid    = 'invalid'
overflow   = 'overflow'
self       = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fbac0>
typecode   = 'g'
underflow  = 'underflow'
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py:958: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fbac0>
fpeerr = 'overflow', flop = <ufunc 'power'>, x = np.longdouble('2.0')
y = np.longdouble('32768.0')
    def assert_raises_fpe(self, fpeerr, flop, x, y):
        ftype = type(x)
        try:
            flop(x, y)
>           assert_(False,
                    "Type %s did not raise fpe error '%s'." % (ftype, fpeerr))
E                   AssertionError: Type <class 'numpy.longdouble'> did not raise fpe error 'overflow'.
flop       = <ufunc 'power'>
fpeerr     = 'overflow'
ftype      = <class 'numpy.longdouble'>
self       = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fbac0>
x          = np.longdouble('2.0')
y          = np.longdouble('32768.0')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py:897: AssertionError
_______________ TestFloatExceptions.test_floating_exceptions[G] ________________
self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fcca0>
fpeerr = 'overflow', flop = <ufunc 'power'>, x = np.clongdouble('2+0j')
y = np.clongdouble('32768+0j')
    def assert_raises_fpe(self, fpeerr, flop, x, y):
        ftype = type(x)
        try:
>           flop(x, y)
E           FloatingPointError: invalid value encountered in power
flop       = <ufunc 'power'>
fpeerr     = 'overflow'
ftype      = <class 'numpy.clongdouble'>
self       = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fcca0>
x          = np.clongdouble('2+0j')
y          = np.clongdouble('32768+0j')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py:896: FloatingPointError
During handling of the above exception, another exception occurred:
self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fcca0>
typecode = 'G'
    @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support")
    @pytest.mark.parametrize("typecode", np.typecodes["AllFloat"])
    def test_floating_exceptions(self, typecode):
        # Test basic arithmetic function errors
        with np.errstate(all='raise'):
            ftype = obj2sctype(typecode)
            if np.dtype(ftype).kind == 'f':
                # Get some extreme values for the type
                fi = np.finfo(ftype)
                ft_tiny = fi._machar.tiny
                ft_max = fi.max
                ft_eps = fi.eps
                underflow = 'underflow'
                divbyzero = 'divide by zero'
            else:
                # 'c', complex, corresponding real dtype
                rtype = type(ftype(0).real)
                fi = np.finfo(rtype)
                ft_tiny = ftype(fi._machar.tiny)
                ft_max = ftype(fi.max)
                ft_eps = ftype(fi.eps)
                # The complex types raise different exceptions
                underflow = ''
                divbyzero = ''
            overflow = 'overflow'
            invalid = 'invalid'
    
            # The value of tiny for double double is NaN, so we need to
            # pass the assert
            if not np.isnan(ft_tiny):
                self.assert_raises_fpe(underflow,
                                    lambda a, b: a/b, ft_tiny, ft_max)
                self.assert_raises_fpe(underflow,
                                    lambda a, b: a*b, ft_tiny, ft_tiny)
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a*b, ft_max, ftype(2))
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a/b, ft_max, ftype(0.5))
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a+b, ft_max, ft_max*ft_eps)
            self.assert_raises_fpe(overflow,
                                   lambda a, b: a-b, -ft_max, ft_max*ft_eps)
>           self.assert_raises_fpe(overflow,
                                   np.power, ftype(2), ftype(2**fi.nexp))
divbyzero  = ''
fi         = finfo(resolution=1e-18, min=-1.189731495357231765e+4932, max=1.189731495357231765e+4932, dtype=float128)
ft_eps     = np.clongdouble('1.084202172485504434e-19+0j')
ft_max     = np.clongdouble('1.189731495357231765e+4932+0j')
ft_tiny    = np.clongdouble('3.3621031431120935063e-4932+0j')
ftype      = <class 'numpy.clongdouble'>
invalid    = 'invalid'
overflow   = 'overflow'
rtype      = <class 'numpy.longdouble'>
self       = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fcca0>
typecode   = 'G'
underflow  = ''
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py:958: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fcca0>
fpeerr = 'overflow', flop = <ufunc 'power'>, x = np.clongdouble('2+0j')
y = np.clongdouble('32768+0j')
    def assert_raises_fpe(self, fpeerr, flop, x, y):
        ftype = type(x)
        try:
            flop(x, y)
            assert_(False,
                    "Type %s did not raise fpe error '%s'." % (ftype, fpeerr))
        except FloatingPointError as exc:
>           assert_(str(exc).find(fpeerr) >= 0,
                    "Type %s raised wrong fpe error '%s'." % (ftype, exc))
E           AssertionError: Type <class 'numpy.clongdouble'> raised wrong fpe error 'invalid value encountered in power'.
flop       = <ufunc 'power'>
fpeerr     = 'overflow'
ftype      = <class 'numpy.clongdouble'>
self       = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x91c3fcca0>
x          = np.clongdouble('2+0j')
y          = np.clongdouble('32768+0j')
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_numeric.py:900: AssertionError
_________________________ TestSpecialFloats.test_cosh __________________________
self = <numpy.core.tests.test_umath.TestSpecialFloats object at 0x96b945430>
    @pytest.mark.skipif(IS_WASM, reason="fp errors don't work in wasm")
    def test_cosh(self):
        in_ = [np.nan, -np.nan, np.inf, -np.inf]
        out = [np.nan, np.nan, np.inf, np.inf]
        for dt in ['e', 'f', 'd']:
            in_arr = np.array(in_, dtype=dt)
            out_arr = np.array(out, dtype=dt)
            assert_equal(np.cosh(in_arr), out_arr)
    
        with np.errstate(over='raise'):
            assert_raises(FloatingPointError, np.cosh,
                          np.array(12.0, dtype='e'))
>           assert_raises(FloatingPointError, np.cosh,
                          np.array(120.0, dtype='f'))
dt         = 'd'
in_        = [nan, nan, inf, -inf]
in_arr     = array([ nan,  nan,  inf, -inf])
out        = [nan, nan, inf, inf]
out_arr    = array([nan, nan, inf, inf])
self       = <numpy.core.tests.test_umath.TestSpecialFloats object at 0x96b945430>
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_umath.py:1659: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/local/lib/python3.9/unittest/case.py:739: in assertRaises
    return context.handle('assertRaises', args, kwargs)
        args       = (<ufunc 'cosh'>, array(120., dtype=float32))
        context    = None
        expected_exception = <class 'FloatingPointError'>
        kwargs     = {}
        self       = <numpy.testing._private.utils._Dummy testMethod=nop>
/usr/local/lib/python3.9/unittest/case.py:201: in handle
    callable_obj(*args, **kwargs)
        args       = [array(120., dtype=float32)]
        callable_obj = <ufunc 'cosh'>
        kwargs     = {}
        name       = 'assertRaises'
        self       = None
/usr/local/lib/python3.9/unittest/case.py:223: in __exit__
    self._raiseFailure("{} not raised by {}".format(exc_name,
        exc_name   = 'FloatingPointError'
        exc_type   = None
        exc_value  = None
        self       = <unittest.case._AssertRaisesContext object at 0xc05679670>
        tb         = None
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
self = <unittest.case._AssertRaisesContext object at 0xc05679670>
standardMsg = 'FloatingPointError not raised by cosh'
    def _raiseFailure(self, standardMsg):
        msg = self.test_case._formatMessage(self.msg, standardMsg)
>       raise self.test_case.failureException(msg)
E       AssertionError: FloatingPointError not raised by cosh
msg        = 'FloatingPointError not raised by cosh'
self       = <unittest.case._AssertRaisesContext object at 0xc05679670>
standardMsg = 'FloatingPointError not raised by cosh'
/usr/local/lib/python3.9/unittest/case.py:163: AssertionError
________________ TestSpecialComplexAVX.test_array[complex64--1] ________________
self = <numpy.core.tests.test_umath_complex.TestSpecialComplexAVX object at 0x97a6a3610>
stride = -1, astype = <class 'numpy.complex64'>
    @pytest.mark.parametrize("stride", [-4,-2,-1,1,2,4])
    @pytest.mark.parametrize("astype", [np.complex64, np.complex128])
    def test_array(self, stride, astype):
        arr = np.array([complex(np.nan , np.nan),
                        complex(np.nan , np.inf),
                        complex(np.inf , np.nan),
                        complex(np.inf , np.inf),
                        complex(0.     , np.inf),
                        complex(np.inf , 0.),
                        complex(0.     , 0.),
                        complex(0.     , np.nan),
                        complex(np.nan , 0.)], dtype=astype)
        abs_true = np.array([np.nan, np.inf, np.inf, np.inf, np.inf, np.inf, 0., np.nan, np.nan], dtype=arr.real.dtype)
        sq_true = np.array([complex(np.nan,  np.nan),
                            complex(np.nan,  np.nan),
                            complex(np.nan,  np.nan),
                            complex(np.nan,  np.inf),
                            complex(-np.inf, np.nan),
                            complex(np.inf,  np.nan),
                            complex(0.,     0.),
                            complex(np.nan, np.nan),
                            complex(np.nan, np.nan)], dtype=astype)
>       assert_equal(np.abs(arr[::stride]), abs_true[::stride])
E       RuntimeWarning: invalid value encountered in absolute
abs_true   = array([nan, inf, inf, inf, inf, inf,  0., nan, nan], dtype=float32)
arr        = array([nan+nanj, nan+infj, inf+nanj, inf+infj,  0.+infj, inf +0.j,
        0. +0.j,  0.+nanj, nan +0.j], dtype=complex64)
astype     = <class 'numpy.complex64'>
self       = <numpy.core.tests.test_umath_complex.TestSpecialComplexAVX object at 0x97a6a3610>
sq_true    = array([ nan+nanj,  nan+nanj,  nan+nanj,  nan+infj, -inf+nanj,  inf+nanj,
         0. +0.j,  nan+nanj,  nan+nanj], dtype=complex64)
stride     = -1
../.venv/lib/python3.9/site-packages/numpy/core/tests/test_umath_complex.py:579: RuntimeWarning

EDIT: those also show up on NetBSD (see gh-23379) and armel (see gh-20635)

Should fix the build on FreeBSD and other OSes that are not C99-compliant. Closes numpygh-24873

This was a regression in the 1.24.x branch, after a lot of churn in this file. In 1.22.x/1.23.x, the conditional is the same as in this fix.

charris · 2023-10-07T19:41:01Z

Thanks Ralf.

…py#24876) * BLD: fix incorrect feature checks for mandatory math functions Should fix the build on FreeBSD and other OSes that are not C99-compliant. Closes numpygh-24873 * CI: add a FreeBSD job on Cirrus CI * BUG: define `_npy_scaled_cexpl` when ccoshl/csinhl are missing This was a regression in the 1.24.x branch, after a lot of churn in this file. In 1.22.x/1.23.x, the conditional is the same as in this fix. * TST: avoid failures for FPE errors/warnings in `abs` on BSDs

) (#24879) * BLD: fix incorrect feature checks for mandatory math functions Should fix the build on FreeBSD and other OSes that are not C99-compliant. Closes gh-24873 * CI: add a FreeBSD job on Cirrus CI * BUG: define `_npy_scaled_cexpl` when ccoshl/csinhl are missing This was a regression in the 1.24.x branch, after a lot of churn in this file. In 1.22.x/1.23.x, the conditional is the same as in this fix. * TST: avoid failures for FPE errors/warnings in `abs` on BSDs Co-authored-by: Ralf Gommers <[email protected]>

…py#24876) (numpy#24879) * BLD: fix incorrect feature checks for mandatory math functions Should fix the build on FreeBSD and other OSes that are not C99-compliant. Closes numpygh-24873 * CI: add a FreeBSD job on Cirrus CI * BUG: define `_npy_scaled_cexpl` when ccoshl/csinhl are missing This was a regression in the 1.24.x branch, after a lot of churn in this file. In 1.22.x/1.23.x, the conditional is the same as in this fix. * TST: avoid failures for FPE errors/warnings in `abs` on BSDs Co-authored-by: Ralf Gommers <[email protected]>

rgommers added component: build 09 - Backport-Candidate PRs tagged should be backported Meson Items related to the introduction of Meson as the new build system for NumPy labels Oct 7, 2023

rgommers marked this pull request as draft October 7, 2023 11:39

github-actions Bot added the 36 - Build Build related PR label Oct 7, 2023

rgommers mentioned this pull request Oct 7, 2023

Numpy 1.26.0 doesn't work on freebsd #24873

Closed

rgommers force-pushed the fix-math-featurechecks branch 5 times, most recently from 9fbbf0a to 2595fdf Compare October 7, 2023 16:01

rgommers force-pushed the fix-math-featurechecks branch 10 times, most recently from f29a810 to e049fbf Compare October 7, 2023 17:18

rgommers added 3 commits October 7, 2023 20:27

BLD: fix incorrect feature checks for mandatory math functions

2e6bfc9

Should fix the build on FreeBSD and other OSes that are not C99-compliant. Closes numpygh-24873

CI: add a FreeBSD job on Cirrus CI

fa2a81f

BUG: define _npy_scaled_cexpl when ccoshl/csinhl are missing

db6c060

This was a regression in the 1.24.x branch, after a lot of churn in this file. In 1.22.x/1.23.x, the conditional is the same as in this fix.

rgommers force-pushed the fix-math-featurechecks branch from 92623c6 to da44db0 Compare October 7, 2023 18:33

rgommers changed the title ~~BLD: fix incorrect feature checks for mandatory math functions~~ BLD: fix math func feature checks, fix FreeBSD build, add CI job Oct 7, 2023

TST: avoid failures for FPE errors/warnings in abs on BSDs

7b423f4

rgommers force-pushed the fix-math-featurechecks branch from da44db0 to 7b423f4 Compare October 7, 2023 18:37

rgommers marked this pull request as ready for review October 7, 2023 18:38

charris approved these changes Oct 7, 2023

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charris merged commit 040ed2d into numpy:main Oct 7, 2023

charris mentioned this pull request Oct 7, 2023

BLD: fix math func feature checks, fix FreeBSD build, add CI job #24879

Merged

charris removed the 09 - Backport-Candidate PRs tagged should be backported label Oct 7, 2023

rgommers deleted the fix-math-featurechecks branch October 7, 2023 20:21

rgommers added this to the 2.0.0 release milestone Oct 7, 2023

tylerjereddy mentioned this pull request May 18, 2024

1.12.0 [BUG]: pytest fails in all units using scipy.special._ufuncs DSO module with undefined symb ol: npy_cexp scipy/scipy#20735

Closed

TimotheusBachinger mentioned this pull request Nov 25, 2024

fix build #27836

Closed

mhsmith mentioned this pull request Jul 4, 2026

BLD: Add Android support #30412

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BLD: fix math func feature checks, fix FreeBSD build, add CI job - #24876

BLD: fix math func feature checks, fix FreeBSD build, add CI job#24876
charris merged 4 commits into
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rgommers:fix-math-featurechecks

rgommers commented Oct 7, 2023

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rgommers commented Oct 7, 2023

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rgommers commented Oct 7, 2023 •

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