Mailing List Archive | ports@openbsd.org

On Sat, Jan 06, 2024 at 06:41:03PM +0000, Stuart Henderson wrote: > On 2024/01/06 11:17, Daniel Dickman wrote: > > > > > > > On Jan 5, 2024, at 11:40 AM, Stuart Henderson <stu@spacehopper.org> wrote: > > > > > > On 2024/01/02 12:08, Stuart Henderson wrote: > > >>> On 2024/01/01 15:23, Daniel Dickman wrote: > > >>> The next version of matplotlib requires numpy 1.25 or newer. > > >>> > > >>> The below diff updates numpy to 1.25.2 so matplotlib can be updated. > > >> ... > > >>> p.s. Testing on !amd64 is always useful as there has been > > >>> platform-specific breakage in the past. Bulk tests would also be helpful > > >>> given how much of the tree depends on numpy. > > >> > > >> Reading over it LGTM, I will run tests on i386. > > > > > > Lots of faffing to get numpy to build at all on i386 thanks to the > > > "exists" check for ld.lld from llvm/13 (used by lang/gcc), but got there > > > in the end, tests looking pretty reasonable: > > > > > > Thanks a lot for testing! I wasn’t sure if you also did a bulk and ran into problems in any consumers? > > I did, and no prblems related to numpy. > > > I actually think that given how much breakage this update could cause I don’t think I’m going to be brave enough to commit it. It should probably go through bulks on all platforms that folks care about to identify any platform-specific issues ahead of being committed. > > Bulks on that mamy platforms aren't not going to happen before commit > and I don't think need to be done amyway. I'm basically ok with this > thpugh given what you've said It would be nice to have build and "make > test" of numpy itself on another arch or two (sparc64 would be a good > one if anyone has time to do that). Logs for sparc64 and arm64 attached. sparc64 looks quite good: 71 failed, 33123 passed, 964 skipped, 1308 deselected, 31 xfailed, 4 xpassed, 423 warnings in 1080.09s (0:18:00) aarch64 less so. I tried three test runs and it never completed. At a random point python segfaults. Looks like infinite recursion. The machine isn't squeaky clean. It's running robert's cxx diffs and has a few other diffs. I doubt it's related, but before blocking on this, it would be good to have confirmation from a clean machine. #0 thrkill () at /tmp/-:3 #1 <signal handler called> #2 0x00000009d345b8ac in FLOAT_isnan () from /usr/local/lib/python3.10/site-packages/numpy/core/_multiarray_umath.cpython-310.so #3 0x00000009d35c4ca8 in generic_wrapped_legacy_loop () from /usr/local/lib/python3.10/site-packages/numpy/core/_multiarray_umath.cpython-310.so #4 0x00000009d35c7b2c in execute_ufunc_loop () from /usr/local/lib/python3.10/site-packages/numpy/core/_multiarray_umath.cpython-310.so #5 0x00000009d35c7b2c in execute_ufunc_loop () from /usr/local/lib/python3.10/site-packages/numpy/core/_multiarray_umath.cpython-310.so #6 0x00000009d35c7b2c in execute_ufunc_loop () .... Many thousands of frames deep. It happened once after ~10% of tests, once after ~80% of tests and once after ~90% of tests. cd /usr/ports/pobj/py-numpy-1.25.2-python3 && CC=cc PYTHONUSERBASE= PORTSDIR="/usr/ports" LIBTOOL="/usr/bin/libtool" PATH='/usr/ports/pobj/py-numpy-1.25.2-python3/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin:/usr/X11R6/bin' PREFIX='/usr/local' LOCALBASE='/usr/local' X11BASE='/usr/X11R6' CFLAGS='-O2 -pipe -D CYTHON_SMALL_CODE=' TRUEPREFIX='/usr/local' DESTDIR='' HOME='/py-numpy-1.25.2_writes_to_HOME' PICFLAG="-fPIC" BINGRP=bin BINOWN=root BINMODE=755 NONBINMODE=644 DIRMODE=755 INSTALL_COPY=-c INSTALL_STRIP=-s MANGRP=bin MANOWN=root MANMODE=644 BSD_INSTALL_PROGRAM="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -s -m 755" BSD_INSTALL_SCRIPT="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 755" BSD_INSTALL_DATA="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 644" BSD_INSTALL_MAN="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 644" BSD_INSTALL_PROGRAM_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" BSD_INSTALL_SCRIPT_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" BSD_INSTALL_DATA_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" BSD_INSTALL_MAN_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" /usr/local/bin/python3.10 -c 'import numpy ; numpy.test()' /usr/local/lib/python3.10/site-packages/numpy/_pytesttester.py:143: DeprecationWarning: `numpy.distutils` is deprecated since NumPy 1.23.0, as a result of the deprecation of `distutils` itself. It will be removed for Python >= 3.12. For older Python versions it will remain present. It is recommended to use `setuptools < 60.0` for those Python versions. For more details, see: https://numpy.org/devdocs/reference/distutils_status_migration.html from numpy.distutils import cpuinfo NumPy version 1.25.2 NumPy relaxed strides checking option: True NumPy CPU features: nothing enabled ........................................................................ [ 0%] ........................................................................ [ 0%] ............................................................x........... [ 0%] ........................................................................ [ 0%] ........................................................................ [ 1%] .................................x...................................... 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[100%] =================================== FAILURES =================================== _____________ test_floatingpoint_errors_casting[longdouble-to-f21] _____________ dtype = dtype('float32'), value = 1.0000000000000000525047602552044202e+300 @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('float32') match = 'overflow' operation = <function check_operations.<locals>.assignment at 0x4e10bc6a70> value = 1.0000000000000000525047602552044202e+300 /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _____________ test_floatingpoint_errors_casting[longdouble-to-f8] ______________ dtype = dtype('float64'), value = 1.189731495357231765085759326628007e+4932 @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('float64') match = 'overflow' operation = <function check_operations.<locals>.assignment at 0x4e4bf84040> value = 1.189731495357231765085759326628007e+4932 /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _____________ test_floatingpoint_errors_casting[longdouble-to-c8] ______________ dtype = dtype('complex64'), value = 2.0000000000000001050095205104088405e+300 @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('complex64') match = 'overflow' operation = <function check_operations.<locals>.assignment at 0x4e4bf86cb0> value = 2.0000000000000001050095205104088405e+300 /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-b3] _________________ dtype = dtype('int8'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int8') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf841f0> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-b2] _______________ dtype = dtype('int8'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int8') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf87ac0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-b3] _________________ dtype = dtype('int8'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int8') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf86dd0> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-b2] _______________ dtype = dtype('int8'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int8') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf877f0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-B3] _________________ dtype = dtype('uint8'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint8') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf85510> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-B2] _______________ dtype = dtype('uint8'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint8') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf856c0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-B3] _________________ dtype = dtype('uint8'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint8') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf869e0> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-B2] _______________ dtype = dtype('uint8'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint8') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf845e0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-h3] _________________ dtype = dtype('int16'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int16') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf875b0> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-h2] _______________ dtype = dtype('int16'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int16') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf86050> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-h3] _________________ dtype = dtype('int16'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int16') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf85750> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-h2] _______________ dtype = dtype('int16'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int16') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf84af0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-H3] _________________ dtype = dtype('uint16'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint16') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf85c60> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-H2] _______________ dtype = dtype('uint16'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint16') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf85870> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-H3] _________________ dtype = dtype('uint16'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint16') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf84790> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-H2] _______________ dtype = dtype('uint16'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint16') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf849d0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-i3] _________________ dtype = dtype('int32'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int32') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf85360> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-i2] _______________ dtype = dtype('int32'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int32') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4de568b0a0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-i3] _________________ dtype = dtype('int32'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int32') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4de568a710> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-i2] _______________ dtype = dtype('int32'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int32') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4de568b7f0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-I3] _________________ dtype = dtype('uint32'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint32') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e10bc6a70> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-I2] _______________ dtype = dtype('uint32'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint32') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4de568b6d0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-I3] _________________ dtype = dtype('uint32'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint32') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4de568b910> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-I2] _______________ dtype = dtype('uint32'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint32') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4de568b0a0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-l3] _________________ dtype = dtype('int64'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf03f40> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-l2] _______________ dtype = dtype('int64'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf03760> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-l3] _________________ dtype = dtype('int64'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf85a20> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-l2] _______________ dtype = dtype('int64'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf02dd0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-L3] _________________ dtype = dtype('uint64'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf02950> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-L2] _______________ dtype = dtype('uint64'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf01a20> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-L3] _________________ dtype = dtype('uint64'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf02b90> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-L2] _______________ dtype = dtype('uint64'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf03be0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-q3] _________________ dtype = dtype('int64'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf85a20> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-q2] _______________ dtype = dtype('int64'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf031c0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-q3] _________________ dtype = dtype('int64'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf03e20> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-q2] _______________ dtype = dtype('int64'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf02e60> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-Q3] _________________ dtype = dtype('uint64'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf000d0> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-Q2] _______________ dtype = dtype('uint64'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf01510> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-Q3] _________________ dtype = dtype('uint64'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf01bd0> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-Q2] _______________ dtype = dtype('uint64'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf02a70> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-p3] _________________ dtype = dtype('int64'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf00820> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-p2] _______________ dtype = dtype('int64'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4ebad0f9a0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-p3] _________________ dtype = dtype('int64'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf01e10> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-p2] _______________ dtype = dtype('int64'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('int64') match = 'invalid' operation = <function check_operations.<locals>.copyto_scalar at 0x4e4bf01cf0> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[inf-to-P3] _________________ dtype = dtype('uint64'), value = inf @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf85a20> value = inf /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(inf+0j)-to-P2] _______________ dtype = dtype('uint64'), value = (inf+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e4bf000d0> value = (inf+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _________________ test_floatingpoint_errors_casting[nan-to-P3] _________________ dtype = dtype('uint64'), value = nan @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) were emitted. The list of emitted warnings is: []. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e407f60e0> value = nan /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed ______________ test_floatingpoint_errors_casting[(nan+0j)-to-P2] _______________ dtype = dtype('uint64'), value = (nan+0j) @pytest.mark.skipif(IS_WASM, reason="no wasm fp exception support") @pytest.mark.parametrize(["value", "dtype"], values_and_dtypes()) @pytest.mark.filterwarnings("ignore::numpy.ComplexWarning") def test_floatingpoint_errors_casting(dtype, value): dtype = np.dtype(dtype) for operation in check_operations(dtype, value): dtype = np.dtype(dtype) match = "invalid" if dtype.kind in 'iu' else "overflow" > with pytest.warns(RuntimeWarning, match=match): E Failed: DID NOT WARN. No warnings of type (<class 'RuntimeWarning'>,) matching ('invalid') were emitted. The list of emitted warnings is: [ComplexWarning('Casting complex values to real discards the imaginary part')]. dtype = dtype('uint64') match = 'invalid' operation = <function check_operations.<locals>.assignment at 0x4e46111000> value = (nan+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_casting_floatingpoint_errors.py:148: Failed _____________________________ test_repr_roundtrip ______________________________ @pytest.mark.skipif(IS_MUSL, reason="test flaky on musllinux") @pytest.mark.skipif(LD_INFO.precision + 2 >= repr_precision, reason="repr precision not enough to show eps") def test_repr_roundtrip(): # We will only see eps in repr if within printing precision. o = 1 + LD_INFO.eps > assert_equal(np.longdouble(repr(o)), o, "repr was %s" % repr(o)) E AssertionError: E Items are not equal: repr was 1.0000000000000000000000000000000002 E ACTUAL: 1.0 E DESIRED: 1.0000000000000000000000000000000002 o = 1.0000000000000000000000000000000002 /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_longdouble.py:43: AssertionError _______________ TestFloatExceptions.test_floating_exceptions[g] ________________ self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f287c0> 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 = np.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) divbyzero = 'divide by zero' fi = finfo(resolution=1e-33, min=-1.189731495357231765085759326628007e+4932, max=1.189731495357231765085759326628007e+4932, dtype=float128) ft_eps = 1.9259299443872358530559779425849273e-34 ft_max = 1.189731495357231765085759326628007e+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 0x4df4f287c0> typecode = 'g' underflow = 'underflow' /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_numeric.py:675: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f287c0> fpeerr = 'underflow' flop = <function TestFloatExceptions.test_floating_exceptions.<locals>.<lambda> at 0x4e6b512710> x = array(3.36210314e-4932, dtype=float128) y = 1.189731495357231765085759326628007e+4932 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.ndarray'> did not raise fpe error 'underflow'. flop = <function TestFloatExceptions.test_floating_exceptions.<locals>.<lambda> at 0x4e6b512710> fpeerr = 'underflow' ftype = <class 'numpy.ndarray'> self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f287c0> x = array(3.36210314e-4932, dtype=float128) y = 1.189731495357231765085759326628007e+4932 /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_numeric.py:626: AssertionError _______________ TestFloatExceptions.test_floating_exceptions[G] ________________ self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f28fd0> 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 = np.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) divbyzero = '' fi = finfo(resolution=1e-33, min=-1.189731495357231765085759326628007e+4932, max=1.189731495357231765085759326628007e+4932, dtype=float128) ft_eps = (1.9259299443872358530559779425849273e-34+0j) ft_max = (1.189731495357231765085759326628007e+4932+0j) ft_tiny = (3.3621031431120935062626778173217526e-4932+0j) ftype = <class 'numpy.clongdouble'> invalid = 'invalid' overflow = 'overflow' rtype = <class 'numpy.longdouble'> self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f28fd0> typecode = 'G' underflow = '' /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_numeric.py:675: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f28fd0> fpeerr = '' flop = <function TestFloatExceptions.test_floating_exceptions.<locals>.<lambda> at 0x4e94b3a680> x = (3.3621031431120935062626778173217526e-4932+0j) y = (1.189731495357231765085759326628007e+4932+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)) E AssertionError: Type <class 'numpy.clongdouble'> did not raise fpe error ''. flop = <function TestFloatExceptions.test_floating_exceptions.<locals>.<lambda> at 0x4e94b3a680> fpeerr = '' ftype = <class 'numpy.clongdouble'> self = <numpy.core.tests.test_numeric.TestFloatExceptions object at 0x4df4f28fd0> x = (3.3621031431120935062626778173217526e-4932+0j) y = (1.189731495357231765085759326628007e+4932+0j) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_numeric.py:626: AssertionError ______________ TestCommaDecimalPointLocale.test_locale_longdouble ______________ self = <numpy.core.tests.test_print.TestCommaDecimalPointLocale object at 0x4e3b330b50> @pytest.mark.skipif(IS_MUSL, reason="test flaky on musllinux") def test_locale_longdouble(self): > assert_equal(str(np.longdouble('1.2')), str(float(1.2))) E AssertionError: E Items are not equal: E ACTUAL: '1.1999999999999999555910790149937384' E DESIRED: '1.2' self = <numpy.core.tests.test_print.TestCommaDecimalPointLocale object at 0x4e3b330b50> /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_print.py:202: AssertionError ____________________ TestRealScalars.test_dragon4_interface ____________________ self = <numpy.core.tests.test_scalarprint.TestRealScalars object at 0x4ed1c51420> def test_dragon4_interface(self): tps = [np.float16, np.float32, np.float64] # test is flaky for musllinux on np.float128 if hasattr(np, 'float128') and not IS_MUSL: tps.append(np.float128) fpos = np.format_float_positional fsci = np.format_float_scientific for tp in tps: # test padding assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ") assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ") > assert_equal(fpos(tp('-10.2'), pad_left=4, pad_right=4), " -10.2 ") E AssertionError: E Items are not equal: E ACTUAL: ' -10.199999999999999289457264239899814' E DESIRED: ' -10.2 ' fpos = <function format_float_positional at 0x4e3a5f81f0> fsci = <function format_float_scientific at 0x4e3a5f8160> self = <numpy.core.tests.test_scalarprint.TestRealScalars object at 0x4ed1c51420> tp = <class 'numpy.longdouble'> tps = [<class 'numpy.float16'>, <class 'numpy.float32'>, <class 'numpy.float64'>, <class 'numpy.longdouble'>] /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_scalarprint.py:276: AssertionError __________________ TestRemainder.test_float_divmod_errors[g] ___________________ self = <numpy.core.tests.test_umath.TestRemainder object at 0x4e22eeaa10> dtype = 'g' @pytest.mark.skipif(IS_WASM, reason="fp errors don't work in wasm") @pytest.mark.xfail(sys.platform.startswith("darwin"), reason="MacOS seems to not give the correct 'invalid' warning for " "`fmod`. Hopefully, others always do.") @pytest.mark.parametrize('dtype', np.typecodes['Float']) def test_float_divmod_errors(self, dtype): # Check valid errors raised for divmod and remainder fzero = np.array(0.0, dtype=dtype) fone = np.array(1.0, dtype=dtype) finf = np.array(np.inf, dtype=dtype) fnan = np.array(np.nan, dtype=dtype) # since divmod is combination of both remainder and divide # ops it will set both dividebyzero and invalid flags with np.errstate(divide='raise', invalid='ignore'): > assert_raises(FloatingPointError, np.divmod, fone, fzero) dtype = 'g' finf = array(inf, dtype=float128) fnan = array(nan, dtype=float128) fone = array(1., dtype=float128) fzero = array(0., dtype=float128) self = <numpy.core.tests.test_umath.TestRemainder object at 0x4e22eeaa10> /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:781: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/local/lib/python3.10/unittest/case.py:738: in assertRaises return context.handle('assertRaises', args, kwargs) args = (<ufunc 'divmod'>, array(1., dtype=float128), array(0., dtype=float128)) context = None expected_exception = <class 'FloatingPointError'> kwargs = {} self = <numpy.testing._private.utils._Dummy testMethod=nop> /usr/local/lib/python3.10/unittest/case.py:200: in handle with self: args = [array(1., dtype=float128), array(0., dtype=float128)] callable_obj = <ufunc 'divmod'> kwargs = {} name = 'assertRaises' self = None /usr/local/lib/python3.10/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 0x4e46ed60b0> tb = None _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <unittest.case._AssertRaisesContext object at 0x4e46ed60b0> standardMsg = 'FloatingPointError not raised by divmod' def _raiseFailure(self, standardMsg): msg = self.test_case._formatMessage(self.msg, standardMsg) > raise self.test_case.failureException(msg) E AssertionError: FloatingPointError not raised by divmod msg = 'FloatingPointError not raised by divmod' self = <unittest.case._AssertRaisesContext object at 0x4e46ed60b0> standardMsg = 'FloatingPointError not raised by divmod' /usr/local/lib/python3.10/unittest/case.py:163: AssertionError ____________________ TestSpecialFloats.test_exp_exceptions _____________________ self = <numpy.core.tests.test_umath.TestSpecialFloats object at 0x4e8061a560> @pytest.mark.xfail( _glibc_older_than("2.17"), reason="Older glibc versions may not raise appropriate FP exceptions" ) def test_exp_exceptions(self): with np.errstate(over='raise'): assert_raises(FloatingPointError, np.exp, np.float16(11.0899)) assert_raises(FloatingPointError, np.exp, np.float32(100.)) assert_raises(FloatingPointError, np.exp, np.float32(1E19)) assert_raises(FloatingPointError, np.exp, np.float64(800.)) assert_raises(FloatingPointError, np.exp, np.float64(1E19)) with np.errstate(under='raise'): assert_raises(FloatingPointError, np.exp, np.float16(-17.5)) > assert_raises(FloatingPointError, np.exp, np.float32(-1000.)) self = <numpy.core.tests.test_umath.TestSpecialFloats object at 0x4e8061a560> /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1431: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/local/lib/python3.10/unittest/case.py:738: in assertRaises return context.handle('assertRaises', args, kwargs) args = (<ufunc 'exp'>, -1000.0) context = None expected_exception = <class 'FloatingPointError'> kwargs = {} self = <numpy.testing._private.utils._Dummy testMethod=nop> /usr/local/lib/python3.10/unittest/case.py:200: in handle with self: args = [-1000.0] callable_obj = <ufunc 'exp'> kwargs = {} name = 'assertRaises' self = None /usr/local/lib/python3.10/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 0x4e3208dfc0> tb = None _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <unittest.case._AssertRaisesContext object at 0x4e3208dfc0> standardMsg = 'FloatingPointError not raised by exp' def _raiseFailure(self, standardMsg): msg = self.test_case._formatMessage(self.msg, standardMsg) > raise self.test_case.failureException(msg) E AssertionError: FloatingPointError not raised by exp msg = 'FloatingPointError not raised by exp' self = <unittest.case._AssertRaisesContext object at 0x4e3208dfc0> standardMsg = 'FloatingPointError not raised by exp' /usr/local/lib/python3.10/unittest/case.py:163: AssertionError ___________________ TestSpecialFloats.test_reciprocal_values ___________________ self = <numpy.core.tests.test_umath.TestSpecialFloats object at 0x4e77faca90> @pytest.mark.skipif(IS_WASM, reason="fp errors don't work in wasm") def test_reciprocal_values(self): with np.errstate(all='ignore'): x = [np.nan, np.nan, 0.0, -0.0, np.inf, -np.inf] y = [np.nan, -np.nan, np.inf, -np.inf, 0., -0.] for dt in ['e', 'f', 'd', 'g']: xf = np.array(x, dtype=dt) yf = np.array(y, dtype=dt) assert_equal(np.reciprocal(yf), xf) with np.errstate(divide='raise'): for dt in ['e', 'f', 'd', 'g']: > assert_raises(FloatingPointError, np.reciprocal, np.array(-0.0, dtype=dt)) dt = 'g' self = <numpy.core.tests.test_umath.TestSpecialFloats object at 0x4e77faca90> x = [nan, nan, 0.0, -0.0, inf, -inf] xf = array([ nan, nan, 0., -0., inf, -inf], dtype=float128) y = [nan, nan, inf, -inf, 0.0, -0.0] yf = array([ nan, nan, inf, -inf, 0., -0.], dtype=float128) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1584: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/local/lib/python3.10/unittest/case.py:738: in assertRaises return context.handle('assertRaises', args, kwargs) args = (<ufunc 'reciprocal'>, array(-0., dtype=float128)) context = None expected_exception = <class 'FloatingPointError'> kwargs = {} self = <numpy.testing._private.utils._Dummy testMethod=nop> /usr/local/lib/python3.10/unittest/case.py:200: in handle with self: args = [array(-0., dtype=float128)] callable_obj = <ufunc 'reciprocal'> kwargs = {} name = 'assertRaises' self = None /usr/local/lib/python3.10/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 0x4e46ed5810> tb = None _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <unittest.case._AssertRaisesContext object at 0x4e46ed5810> standardMsg = 'FloatingPointError not raised by reciprocal' def _raiseFailure(self, standardMsg): msg = self.test_case._formatMessage(self.msg, standardMsg) > raise self.test_case.failureException(msg) E AssertionError: FloatingPointError not raised by reciprocal msg = 'FloatingPointError not raised by reciprocal' self = <unittest.case._AssertRaisesContext object at 0x4e46ed5810> standardMsg = 'FloatingPointError not raised by reciprocal' /usr/local/lib/python3.10/unittest/case.py:163: AssertionError ______________________ TestAVXUfuncs.test_avx_based_ufunc ______________________ self = <numpy.core.tests.test_umath.TestAVXUfuncs object at 0x4eca6061a0> def test_avx_based_ufunc(self): strides = np.array([-4,-3,-2,-1,1,2,3,4]) np.random.seed(42) for func, prop in avx_ufuncs.items(): maxulperr = prop[0] minval = prop[1] maxval = prop[2] # various array sizes to ensure masking in AVX is tested for size in range(1,32): myfunc = getattr(np, func) x_f32 = np.float32(np.random.uniform(low=minval, high=maxval, size=size)) x_f64 = np.float64(x_f32) x_f128 = np.longdouble(x_f32) y_true128 = myfunc(x_f128) if maxulperr == 0: > assert_equal(myfunc(x_f32), np.float32(y_true128)) func = 'trunc' jj = 4 maxulperr = 0 maxval = 100.0 minval = -100.0 myfunc = <ufunc 'trunc'> prop = [0, -100.0, 100.0] self = <numpy.core.tests.test_umath.TestAVXUfuncs object at 0x4eca6061a0> size = 1 strides = array([-4, -3, -2, -1, 1, 2, 3, 4]) x_f128 = array([21.93948555], dtype=float128) x_f32 = array([21.939486], dtype=float32) x_f64 = 21.939485549926758 y_true128 = array([21.5], dtype=float128) y_true32 = array([ 6., -57., 100., 97., 30., 61., 44., 19., -89., -9., 35., 36., -25., 89., -66., 1., 39., 40., 30., -44., -68., 28., 20., -64., 42., -8., 34., 68., -66., -96., 56.], dtype=float32) y_true64 = array([ 6., -57., 100., 97., 30., 61., 44., 19., -89., -9., 35., 36., -25., 89., -66., 1., 39., 40., 30., -44., -68., 28., 20., -64., 42., -8., 34., 68., -66., -96., 56.]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1939: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ args = (<built-in function eq>, array([21.], dtype=float32), array([21.5], dtype=float32)) kwds = {'err_msg': '', 'header': 'Arrays are not equal', 'strict': False, 'verbose': True} @wraps(func) def inner(*args, **kwds): with self._recreate_cm(): > return func(*args, **kwds) E AssertionError: E Arrays are not equal E E Mismatched elements: 1 / 1 (100%) E Max absolute difference: 0.5 E Max relative difference: 0.02325581 E x: array([21.], dtype=float32) E y: array([21.5], dtype=float32) args = (<built-in function eq>, array([21.], dtype=float32), array([21.5], dtype=float32)) func = <function assert_array_compare at 0x4e5549c160> kwds = {'err_msg': '', 'header': 'Arrays are not equal', 'strict': False, 'verbose': True} self = <contextlib._GeneratorContextManager object at 0x4e55469f60> /usr/local/lib/python3.10/contextlib.py:79: AssertionError _______________ TestAVXFloat32Transcendental.test_sincos_float32 _______________ self = <numpy.core.tests.test_umath.TestAVXFloat32Transcendental object at 0x4eca605840> def test_sincos_float32(self): np.random.seed(42) N = 1000000 M = np.int_(N/20) index = np.random.randint(low=0, high=N, size=M) x_f32 = np.float32(np.random.uniform(low=-100.,high=100.,size=N)) if not _glibc_older_than("2.17"): # test coverage for elements > 117435.992f for which glibc is used # this is known to be problematic on old glibc, so skip it there x_f32[index] = np.float32(10E+10*np.random.rand(M)) x_f64 = np.float64(x_f32) > assert_array_max_ulp(np.sin(x_f32), np.float32(np.sin(x_f64)), maxulp=2) E AssertionError: Arrays are not almost equal up to 2 ULP (max difference is 67 ULP) M = 50000 N = 1000000 index = array([121958, 671155, 131932, ..., 738271, 310195, 233966]) self = <numpy.core.tests.test_umath.TestAVXFloat32Transcendental object at 0x4eca605840> x_f32 = array([-10.577719, -35.353283, -97.29114 , ..., -80.99214 , -42.875526, -87.8052 ], dtype=float32) x_f64 = array([-10.57771873, -35.35328293, -97.2911377 , ..., -80.99214172, -42.87552643, -87.80519867]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1978: AssertionError ____________________ TestComplexFunctions.test_branch_cuts _____________________ self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca685b70> @pytest.mark.xfail(IS_MUSL, reason="gh23049") @pytest.mark.xfail(IS_WASM, reason="doesn't work") def test_branch_cuts(self): # check branch cuts and continuity on them _check_branch_cut(np.log, -0.5, 1j, 1, -1, True) _check_branch_cut(np.log2, -0.5, 1j, 1, -1, True) _check_branch_cut(np.log10, -0.5, 1j, 1, -1, True) _check_branch_cut(np.log1p, -1.5, 1j, 1, -1, True) _check_branch_cut(np.sqrt, -0.5, 1j, 1, -1, True) _check_branch_cut(np.arcsin, [ -2, 2], [1j, 1j], 1, -1, True) _check_branch_cut(np.arccos, [ -2, 2], [1j, 1j], 1, -1, True) > _check_branch_cut(np.arctan, [0-2j, 2j], [1, 1], -1, 1, True) self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca685b70> /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4115: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ f = <ufunc 'arctan'>, x0 = array([0.-2.j, 0.+2.j]), dx = array([1.+0.j, 1.+0.j]) re_sign = -1, im_sign = 1, sig_zero_ok = True, dtype = <class 'complex'> def _check_branch_cut(f, x0, dx, re_sign=1, im_sign=-1, sig_zero_ok=False, dtype=complex): """ Check for a branch cut in a function. Assert that `x0` lies on a branch cut of function `f` and `f` is continuous from the direction `dx`. Parameters ---------- f : func Function to check x0 : array-like Point on branch cut dx : array-like Direction to check continuity in re_sign, im_sign : {1, -1} Change of sign of the real or imaginary part expected sig_zero_ok : bool Whether to check if the branch cut respects signed zero (if applicable) dtype : dtype Dtype to check (should be complex) """ x0 = np.atleast_1d(x0).astype(dtype) dx = np.atleast_1d(dx).astype(dtype) if np.dtype(dtype).char == 'F': scale = np.finfo(dtype).eps * 1e2 atol = np.float32(1e-2) else: scale = np.finfo(dtype).eps * 1e3 atol = 1e-4 y0 = f(x0) yp = f(x0 + dx*scale*np.absolute(x0)/np.absolute(dx)) ym = f(x0 - dx*scale*np.absolute(x0)/np.absolute(dx)) > assert_(np.all(np.absolute(y0.real - yp.real) < atol), (y0, yp)) E AssertionError: (array([-1.57079633e+000-5.49306144e-001j, E 1.00000000e+308+1.00000000e+308j]), array([1.57079633-0.54930614j, 1.57079633+0.54930614j])) atol = 0.0001 dtype = <class 'complex'> dx = array([1.+0.j, 1.+0.j]) f = <ufunc 'arctan'> im_sign = 1 re_sign = -1 scale = 2.220446049250313e-13 sig_zero_ok = True x0 = array([0.-2.j, 0.+2.j]) y0 = array([-1.57079633e+000-5.49306144e-001j, 1.00000000e+308+1.00000000e+308j]) ym = array([-1.57079633-0.54930614j, -1.57079633+0.54930614j]) yp = array([1.57079633-0.54930614j, 1.57079633+0.54930614j]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4373: AssertionError _______________ TestComplexFunctions.test_branch_cuts_complex64 ________________ self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca685d80> @pytest.mark.xfail(IS_MUSL, reason="gh23049") @pytest.mark.xfail(IS_WASM, reason="doesn't work") def test_branch_cuts_complex64(self): # check branch cuts and continuity on them _check_branch_cut(np.log, -0.5, 1j, 1, -1, True, np.complex64) _check_branch_cut(np.log2, -0.5, 1j, 1, -1, True, np.complex64) _check_branch_cut(np.log10, -0.5, 1j, 1, -1, True, np.complex64) _check_branch_cut(np.log1p, -1.5, 1j, 1, -1, True, np.complex64) _check_branch_cut(np.sqrt, -0.5, 1j, 1, -1, True, np.complex64) _check_branch_cut(np.arcsin, [ -2, 2], [1j, 1j], 1, -1, True, np.complex64) _check_branch_cut(np.arccos, [ -2, 2], [1j, 1j], 1, -1, True, np.complex64) > _check_branch_cut(np.arctan, [0-2j, 2j], [1, 1], -1, 1, True, np.complex64) self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca685d80> /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4142: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ f = <ufunc 'arctan'>, x0 = array([0.-2.j, 0.+2.j], dtype=complex64) dx = array([1.+0.j, 1.+0.j], dtype=complex64), re_sign = -1, im_sign = 1 sig_zero_ok = True, dtype = <class 'numpy.complex64'> def _check_branch_cut(f, x0, dx, re_sign=1, im_sign=-1, sig_zero_ok=False, dtype=complex): """ Check for a branch cut in a function. Assert that `x0` lies on a branch cut of function `f` and `f` is continuous from the direction `dx`. Parameters ---------- f : func Function to check x0 : array-like Point on branch cut dx : array-like Direction to check continuity in re_sign, im_sign : {1, -1} Change of sign of the real or imaginary part expected sig_zero_ok : bool Whether to check if the branch cut respects signed zero (if applicable) dtype : dtype Dtype to check (should be complex) """ x0 = np.atleast_1d(x0).astype(dtype) dx = np.atleast_1d(dx).astype(dtype) if np.dtype(dtype).char == 'F': scale = np.finfo(dtype).eps * 1e2 atol = np.float32(1e-2) else: scale = np.finfo(dtype).eps * 1e3 atol = 1e-4 y0 = f(x0) yp = f(x0 + dx*scale*np.absolute(x0)/np.absolute(dx)) ym = f(x0 - dx*scale*np.absolute(x0)/np.absolute(dx)) > assert_(np.all(np.absolute(y0.real - yp.real) < atol), (y0, yp)) E AssertionError: (array([-1.5707964e+00-5.4930615e-01j, 9.9999997e+37+9.9999997e+37j], E dtype=complex64), array([1.5707884-0.54930615j, 1.5707884+0.54930615j], dtype=complex64)) atol = 0.01 dtype = <class 'numpy.complex64'> dx = array([1.+0.j, 1.+0.j], dtype=complex64) f = <ufunc 'arctan'> im_sign = 1 re_sign = -1 scale = 1.1920928955078125e-05 sig_zero_ok = True x0 = array([0.-2.j, 0.+2.j], dtype=complex64) y0 = array([-1.5707964e+00-5.4930615e-01j, 9.9999997e+37+9.9999997e+37j], dtype=complex64) ym = array([-1.5707884-0.54930615j, -1.5707884+0.54930615j], dtype=complex64) yp = array([1.5707884-0.54930615j, 1.5707884+0.54930615j], dtype=complex64) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4373: AssertionError ____________ TestComplexFunctions.test_loss_of_precision[complex64] ____________ self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca6862c0> dtype = <class 'numpy.complex64'> @pytest.mark.xfail(IS_MUSL, reason="gh23049") @pytest.mark.xfail(IS_WASM, reason="doesn't work") @pytest.mark.parametrize('dtype', [np.complex64, np.complex_, np.longcomplex]) def test_loss_of_precision(self, dtype): """Check loss of precision in complex arc* functions""" # Check against known-good functions info = np.finfo(dtype) real_dtype = dtype(0.).real.dtype eps = info.eps def check(x, rtol): x = x.astype(real_dtype) z = x.astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsinh')) z = (1j*x).astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsin(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsin')) z = x.astype(dtype) d = np.absolute(np.arctanh(x)/np.arctanh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctanh')) z = (1j*x).astype(dtype) d = np.absolute(np.arctanh(x)/np.arctan(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctan')) # The switchover was chosen as 1e-3; hence there can be up to # ~eps/1e-3 of relative cancellation error before it x_series = np.logspace(-20, -3.001, 200) x_basic = np.logspace(-2.999, 0, 10, endpoint=False) if dtype is np.longcomplex: if bad_arcsinh(): pytest.skip("Trig functions of np.longcomplex values known " "to be inaccurate on aarch64 and PPC for some " "compilation configurations.") # It's not guaranteed that the system-provided arc functions # are accurate down to a few epsilons. (Eg. on Linux 64-bit) # So, give more leeway for long complex tests here: check(x_series, 50.0*eps) else: > check(x_series, 2.1*eps) check = <function TestComplexFunctions.test_loss_of_precision.<locals>.check at 0x4e45301cf0> dtype = <class 'numpy.complex64'> eps = 1.1920929e-07 info = finfo(resolution=1e-06, min=-3.4028235e+38, max=3.4028235e+38, dtype=float32) real_dtype = dtype('float32') self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca6862c0> x_basic = array([0.00100231, 0.0019994 , 0.00398841, 0.0079561 , 0.01587084, 0.0316592 , 0.06315387, 0.12597953, 0.25130435, 0.50130265]) x_series = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...3.06526013e-04, 3.73155156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4227: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ x = array([9.99999968e-21, 1.21736865e-20, 1.48198648e-20, 1.80412373e-20, 2.19628376e-20, 2.67368701e-20, 3.254862...55170e-04, 4.54267400e-04, 5.53010846e-04, 6.73218106e-04, 8.19554611e-04, 9.97700030e-04], dtype=float32) rtol = 2.5033950805664064e-07 def check(x, rtol): x = x.astype(real_dtype) z = x.astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) > assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsinh')) E AssertionError: (0, 1e-20, inf, 'arcsinh') d = array([ inf, inf, inf, inf, inf, inf, ...17506e-04, 8.02278519e-05, 6.28232956e-05, 6.73532486e-06, 1.53779984e-05, 4.31537628e-05], dtype=float32) dtype = <class 'numpy.complex64'> real_dtype = dtype('float32') rtol = 2.5033950805664064e-07 x = array([9.99999968e-21, 1.21736865e-20, 1.48198648e-20, 1.80412373e-20, 2.19628376e-20, 2.67368701e-20, 3.254862...55170e-04, 4.54267400e-04, 5.53010846e-04, 6.73218106e-04, 8.19554611e-04, 9.97700030e-04], dtype=float32) z = array([9.99999968e-21+0.j, 1.21736865e-20+0.j, 1.48198648e-20+0.j, 1.80412373e-20+0.j, 2.19628376e-20+0.j, 2.67...67400e-04+0.j, 5.53010846e-04+0.j, 6.73218106e-04+0.j, 8.19554611e-04+0.j, 9.97700030e-04+0.j], dtype=complex64) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4193: AssertionError ___________ TestComplexFunctions.test_loss_of_precision[complex128] ____________ self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca686350> dtype = <class 'numpy.complex128'> @pytest.mark.xfail(IS_MUSL, reason="gh23049") @pytest.mark.xfail(IS_WASM, reason="doesn't work") @pytest.mark.parametrize('dtype', [np.complex64, np.complex_, np.longcomplex]) def test_loss_of_precision(self, dtype): """Check loss of precision in complex arc* functions""" # Check against known-good functions info = np.finfo(dtype) real_dtype = dtype(0.).real.dtype eps = info.eps def check(x, rtol): x = x.astype(real_dtype) z = x.astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsinh')) z = (1j*x).astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsin(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsin')) z = x.astype(dtype) d = np.absolute(np.arctanh(x)/np.arctanh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctanh')) z = (1j*x).astype(dtype) d = np.absolute(np.arctanh(x)/np.arctan(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctan')) # The switchover was chosen as 1e-3; hence there can be up to # ~eps/1e-3 of relative cancellation error before it x_series = np.logspace(-20, -3.001, 200) x_basic = np.logspace(-2.999, 0, 10, endpoint=False) if dtype is np.longcomplex: if bad_arcsinh(): pytest.skip("Trig functions of np.longcomplex values known " "to be inaccurate on aarch64 and PPC for some " "compilation configurations.") # It's not guaranteed that the system-provided arc functions # are accurate down to a few epsilons. (Eg. on Linux 64-bit) # So, give more leeway for long complex tests here: check(x_series, 50.0*eps) else: > check(x_series, 2.1*eps) check = <function TestComplexFunctions.test_loss_of_precision.<locals>.check at 0x4df2023d90> dtype = <class 'numpy.complex128'> eps = 2.220446049250313e-16 info = finfo(resolution=1e-15, min=-1.7976931348623157e+308, max=1.7976931348623157e+308, dtype=float64) real_dtype = dtype('float64') self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca686350> x_basic = array([0.00100231, 0.0019994 , 0.00398841, 0.0079561 , 0.01587084, 0.0316592 , 0.06315387, 0.12597953, 0.25130435, 0.50130265]) x_series = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...3.06526013e-04, 3.73155156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4227: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ x = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...3.06526013e-04, 3.73155156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04]) rtol = 4.662936703425658e-16 def check(x, rtol): x = x.astype(real_dtype) z = x.astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) > assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsinh')) E AssertionError: (0, 1.0000000000000001e-20, inf, 'arcsinh') d = array([ inf, inf, inf, inf, inf, inf, ...1.10356169e-13, 5.87307980e-14, 9.10382880e-14, 9.85878046e-14, 1.76303416e-13, 2.36699549e-13, 5.06261699e-14]) dtype = <class 'numpy.complex128'> real_dtype = dtype('float64') rtol = 4.662936703425658e-16 x = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...3.06526013e-04, 3.73155156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04]) z = array([1.00000000e-20+0.j, 1.21736864e-20+0.j, 1.48198641e-20+0.j, 1.80412378e-20+0.j, 2.19628372e-20+0.j, 2.67...0.j, 4.54267386e-04+0.j, 5.53010871e-04+0.j, 6.73218092e-04+0.j, 8.19554595e-04+0.j, 9.97700064e-04+0.j]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4193: AssertionError ___________ TestComplexFunctions.test_loss_of_precision[clongdouble] ___________ self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca6863e0> dtype = <class 'numpy.clongdouble'> @pytest.mark.xfail(IS_MUSL, reason="gh23049") @pytest.mark.xfail(IS_WASM, reason="doesn't work") @pytest.mark.parametrize('dtype', [np.complex64, np.complex_, np.longcomplex]) def test_loss_of_precision(self, dtype): """Check loss of precision in complex arc* functions""" # Check against known-good functions info = np.finfo(dtype) real_dtype = dtype(0.).real.dtype eps = info.eps def check(x, rtol): x = x.astype(real_dtype) z = x.astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsinh')) z = (1j*x).astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsin(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsin')) z = x.astype(dtype) d = np.absolute(np.arctanh(x)/np.arctanh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctanh')) z = (1j*x).astype(dtype) d = np.absolute(np.arctanh(x)/np.arctan(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctan')) # The switchover was chosen as 1e-3; hence there can be up to # ~eps/1e-3 of relative cancellation error before it x_series = np.logspace(-20, -3.001, 200) x_basic = np.logspace(-2.999, 0, 10, endpoint=False) if dtype is np.longcomplex: if bad_arcsinh(): pytest.skip("Trig functions of np.longcomplex values known " "to be inaccurate on aarch64 and PPC for some " "compilation configurations.") # It's not guaranteed that the system-provided arc functions # are accurate down to a few epsilons. (Eg. on Linux 64-bit) # So, give more leeway for long complex tests here: > check(x_series, 50.0*eps) check = <function TestComplexFunctions.test_loss_of_precision.<locals>.check at 0x4df2023010> dtype = <class 'numpy.clongdouble'> eps = 1.9259299443872358530559779425849273e-34 info = finfo(resolution=1e-33, min=-1.189731495357231765085759326628007e+4932, max=1.189731495357231765085759326628007e+4932, dtype=float128) real_dtype = dtype('float128') self = <numpy.core.tests.test_umath.TestComplexFunctions object at 0x4eca6863e0> x_basic = array([0.00100231, 0.0019994 , 0.00398841, 0.0079561 , 0.01587084, 0.0316592 , 0.06315387, 0.12597953, 0.25130435, 0.50130265]) x_series = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...3.06526013e-04, 3.73155156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04]) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4225: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ x = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...5156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04], dtype=float128) rtol = 9.629649721936179265279889712924637e-33 def check(x, rtol): x = x.astype(real_dtype) z = x.astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsinh')) z = (1j*x).astype(dtype) d = np.absolute(np.arcsinh(x)/np.arcsin(z).imag - 1) assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arcsin')) z = x.astype(dtype) d = np.absolute(np.arctanh(x)/np.arctanh(z).real - 1) > assert_(np.all(d < rtol), (np.argmax(d), x[np.argmax(d)], d.max(), 'arctanh')) E AssertionError: (3, 1.804123782950424397342721546230589e-20, 1.834756032787153018756083106390377e-15, 'arctanh') d = array([6.01873108e-16, 7.41558465e-16, 1.82747631e-15, 1.83475603e-15, 1.09608605e-15, 1.68832081e-15, 1.294427...6448e-32, 2.61926472e-32, 3.41852565e-32, 2.29185663e-32, 4.56445397e-32, 2.25333803e-32], dtype=float128) dtype = <class 'numpy.clongdouble'> real_dtype = dtype('float128') rtol = 9.629649721936179265279889712924637e-33 x = array([1.00000000e-20, 1.21736864e-20, 1.48198641e-20, 1.80412378e-20, 2.19628372e-20, 2.67368693e-20, 3.254862...5156e-04, 4.54267386e-04, 5.53010871e-04, 6.73218092e-04, 8.19554595e-04, 9.97700064e-04], dtype=float128) z = array([1.00000000e-20+0.j, 1.21736864e-20+0.j, 1.48198641e-20+0.j, 1.80412378e-20+0.j, 2.19628372e-20+0.j, 2.67...7386e-04+0.j, 5.53010871e-04+0.j, 6.73218092e-04+0.j, 8.19554595e-04+0.j, 9.97700064e-04+0.j], dtype=complex256) /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4203: AssertionError __________________________ TestExecCommand.test_basic __________________________ self = <numpy.distutils.tests.test_exec_command.TestExecCommand object at 0x4eb42e7ca0> def test_basic(self): with redirect_stdout(StringIO()): with redirect_stderr(StringIO()): with assert_warns(DeprecationWarning): if os.name == "posix": > self.check_posix(use_tee=0) self = <numpy.distutils.tests.test_exec_command.TestExecCommand object at 0x4eb42e7ca0> /usr/local/lib/python3.10/site-packages/numpy/distutils/tests/test_exec_command.py:211: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.distutils.tests.test_exec_command.TestExecCommand object at 0x4eb42e7ca0> kws = {'use_tee': 0}, s = 1, o = 'This account is currently not available.' def check_posix(self, **kws): s, o = exec_command.exec_command("echo Hello", **kws) > assert_(s == 0) E AssertionError kws = {'use_tee': 0} o = 'This account is currently not available.' s = 1 self = <numpy.distutils.tests.test_exec_command.TestExecCommand object at 0x4eb42e7ca0> /usr/local/lib/python3.10/site-packages/numpy/distutils/tests/test_exec_command.py:115: AssertionError ____________________ TestFReturnCharacter.test_all_f77[t1] _____________________ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1fc0> name = 't1' @pytest.mark.xfail(IS_S390X, reason="callback returns ' '") @pytest.mark.parametrize("name", "t0,t1,t5,s0,s1,s5,ss".split(",")) def test_all_f77(self, name): > self.check_function(getattr(self.module, name), name) name = 't1' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1fc0> /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:40: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1fc0> t = <fortran t1>, tname = 't1' def check_function(self, t, tname): if tname in ["t0", "t1", "s0", "s1"]: assert t("23") == b"2" r = t("ab") assert r == b"a" r = t(array("ab")) > assert r == b"a" E AssertionError: assert b'' == b'a' E Use -v to get more diff r = b'' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1fc0> t = <fortran t1> tname = 't1' /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:17: AssertionError ____________________ TestFReturnCharacter.test_all_f77[s1] _____________________ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1990> name = 's1' @pytest.mark.xfail(IS_S390X, reason="callback returns ' '") @pytest.mark.parametrize("name", "t0,t1,t5,s0,s1,s5,ss".split(",")) def test_all_f77(self, name): > self.check_function(getattr(self.module, name), name) name = 's1' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1990> /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:40: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1990> t = <fortran function s1>, tname = 's1' def check_function(self, t, tname): if tname in ["t0", "t1", "s0", "s1"]: assert t("23") == b"2" r = t("ab") assert r == b"a" r = t(array("ab")) > assert r == b"a" E AssertionError: assert b'' == b'a' E Use -v to get more diff r = b'' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a1990> t = <fortran function s1> tname = 's1' /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:17: AssertionError ____________________ TestFReturnCharacter.test_all_f90[t1] _____________________ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3dc0> name = 't1' @pytest.mark.xfail(IS_S390X, reason="callback returns ' '") @pytest.mark.parametrize("name", "t0,t1,t5,ts,s0,s1,s5,ss".split(",")) def test_all_f90(self, name): > self.check_function(getattr(self.module.f90_return_char, name), name) name = 't1' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3dc0> /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:45: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3dc0> t = <fortran function t1>, tname = 't1' def check_function(self, t, tname): if tname in ["t0", "t1", "s0", "s1"]: assert t("23") == b"2" r = t("ab") assert r == b"a" r = t(array("ab")) > assert r == b"a" E AssertionError: assert b'' == b'a' E Use -v to get more diff r = b'' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3dc0> t = <fortran function t1> tname = 't1' /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:17: AssertionError ____________________ TestFReturnCharacter.test_all_f90[s1] _____________________ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3fa0> name = 's1' @pytest.mark.xfail(IS_S390X, reason="callback returns ' '") @pytest.mark.parametrize("name", "t0,t1,t5,ts,s0,s1,s5,ss".split(",")) def test_all_f90(self, name): > self.check_function(getattr(self.module.f90_return_char, name), name) name = 's1' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3fa0> /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:45: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3fa0> t = <fortran function s1>, tname = 's1' def check_function(self, t, tname): if tname in ["t0", "t1", "s0", "s1"]: assert t("23") == b"2" r = t("ab") assert r == b"a" r = t(array("ab")) > assert r == b"a" E AssertionError: assert b'' == b'a' E Use -v to get more diff r = b'' self = <numpy.f2py.tests.test_return_character.TestFReturnCharacter object at 0x4eb74a3fa0> t = <fortran function s1> tname = 's1' /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_character.py:17: AssertionError =============================== warnings summary =============================== ../../../local/lib/python3.10/site-packages/setuptools/_distutils/msvccompiler.py:66 /usr/local/lib/python3.10/site-packages/setuptools/_distutils/msvccompiler.py:66: DeprecationWarning: msvccompiler is deprecated and slated to be removed in the future. Please discontinue use or file an issue with pypa/distutils describing your use case. warnings.warn( ../../../local/lib/python3.10/site-packages/setuptools/sandbox.py:13 /usr/local/lib/python3.10/site-packages/setuptools/sandbox.py:13: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html import pkg_resources ../../../local/lib/python3.10/site-packages/pkg_resources/__init__.py:2871 ../../../local/lib/python3.10/site-packages/pkg_resources/__init__.py:2871 ../../../local/lib/python3.10/site-packages/pkg_resources/__init__.py:2871 ../../../local/lib/python3.10/site-packages/pkg_resources/__init__.py:2871 ../../../local/lib/python3.10/site-packages/pkg_resources/__init__.py:2871 /usr/local/lib/python3.10/site-packages/pkg_resources/__init__.py:2871: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('sphinxcontrib')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) core/tests/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases[2147483647--1] /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_numeric.py:200: RuntimeWarning: invalid value encountered in cast assert_equal(round(val, ndigits), round(np.int32(val), ndigits)) core/tests/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip[longdouble-frac_vals3-exp_vals3] /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_scalar_methods.py:100: RuntimeWarning: overflow encountered in conversion from python long df = np.longdouble(d) core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1935: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) x_f64 = np.float64(x_f32) core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1944: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert_array_max_ulp(myfunc(x_f64), np.float64(y_true128), core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:1940: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert_equal(myfunc(x_f64), np.float64(y_true128)) core/tests/test_umath.py::TestComplexFunctions::test_loss_of_precision[complex64] core/tests/test_umath.py::TestComplexFunctions::test_loss_of_precision[complex128] /usr/local/lib/python3.10/site-packages/numpy/core/tests/test_umath.py:4192: RuntimeWarning: divide by zero encountered in divide d = np.absolute(np.arcsinh(x)/np.arcsinh(z).real - 1) distutils/tests/test_fcompiler_gnu.py: 10 warnings f2py/tests/test_f2py2e.py: 4 warnings /usr/local/lib/python3.10/site-packages/numpy/distutils/fcompiler/gnu.py:276: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(v) >= "4": distutils/tests/test_fcompiler_gnu.py: 10 warnings f2py/tests/test_f2py2e.py: 8 warnings /usr/local/lib/python3.10/site-packages/setuptools/_distutils/version.py:345: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) f2py/tests/test_f2py2e.py::test_debugcapi_bld /usr/local/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` directly. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. ******************************************************************************** !! self.initialize_options() f2py/tests/test_f2py2e.py::test_debugcapi_bld f2py/tests/test_f2py2e.py::test_debugcapi_bld f2py/tests/test_f2py2e.py::test_npdistop f2py/tests/test_f2py2e.py::test_npdistop /usr/local/lib/python3.10/site-packages/numpy/distutils/ccompiler.py:672: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. version = LooseVersion(version) f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123])) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([[123]])) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:18: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "b")) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:19: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "h")) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:20: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "i")) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:21: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "l")) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:22: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "B")) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:23: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "f")) == 123 f2py/tests/test_return_integer.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_integer.py:24: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert t(array([123], "d")) == 123 f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:23: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234])) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:24: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([[234]])) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:25: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234]).astype("b")) + 22) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:26: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234], "h")) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:27: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234], "i")) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:28: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234], "l")) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:29: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234], "B")) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:30: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234], "f")) - 234.0) <= err f2py/tests/test_return_real.py: 20 warnings /usr/local/lib/python3.10/site-packages/numpy/f2py/tests/test_return_real.py:31: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) assert abs(t(array([234], "d")) - 234.0) <= err -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[longdouble-to-f21] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[longdouble-to-f8] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[longdouble-to-c8] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-b3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-b2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-b3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-b2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-B3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-B2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-B3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-B2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-h3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-h2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-h3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-h2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-H3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-H2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-H3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-H2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-i3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-i2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-i3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-i2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-I3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-I2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-I3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-I2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-l3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-l2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-l3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-l2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-L3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-L2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-L3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-L2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-q3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-q2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-q3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-q2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-Q3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-Q2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-Q3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-Q2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-p3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-p2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-p3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-p2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[inf-to-P3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(inf+0j)-to-P2] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[nan-to-P3] FAILED core/tests/test_casting_floatingpoint_errors.py::test_floatingpoint_errors_casting[(nan+0j)-to-P2] FAILED core/tests/test_longdouble.py::test_repr_roundtrip - AssertionError: FAILED core/tests/test_numeric.py::TestFloatExceptions::test_floating_exceptions[g] FAILED core/tests/test_numeric.py::TestFloatExceptions::test_floating_exceptions[G] FAILED core/tests/test_print.py::TestCommaDecimalPointLocale::test_locale_longdouble FAILED core/tests/test_scalarprint.py::TestRealScalars::test_dragon4_interface FAILED core/tests/test_umath.py::TestRemainder::test_float_divmod_errors[g] FAILED core/tests/test_umath.py::TestSpecialFloats::test_exp_exceptions - Ass... FAILED core/tests/test_umath.py::TestSpecialFloats::test_reciprocal_values - ... FAILED core/tests/test_umath.py::TestAVXUfuncs::test_avx_based_ufunc - Assert... FAILED core/tests/test_umath.py::TestAVXFloat32Transcendental::test_sincos_float32 FAILED core/tests/test_umath.py::TestComplexFunctions::test_branch_cuts - Ass... FAILED core/tests/test_umath.py::TestComplexFunctions::test_branch_cuts_complex64 FAILED core/tests/test_umath.py::TestComplexFunctions::test_loss_of_precision[complex64] FAILED core/tests/test_umath.py::TestComplexFunctions::test_loss_of_precision[complex128] FAILED core/tests/test_umath.py::TestComplexFunctions::test_loss_of_precision[clongdouble] FAILED distutils/tests/test_exec_command.py::TestExecCommand::test_basic - As... FAILED f2py/tests/test_return_character.py::TestFReturnCharacter::test_all_f77[t1] FAILED f2py/tests/test_return_character.py::TestFReturnCharacter::test_all_f77[s1] FAILED f2py/tests/test_return_character.py::TestFReturnCharacter::test_all_f90[t1] FAILED f2py/tests/test_return_character.py::TestFReturnCharacter::test_all_f90[s1] 71 failed, 33123 passed, 964 skipped, 1308 deselected, 31 xfailed, 4 xpassed, 423 warnings in 1080.09s (0:18:00) cd /usr/ports/pobj/py-numpy-1.25.2-python3 && CC=cc PYTHONUSERBASE= PORTSDIR="/usr/ports" LIBTOOL="/usr/bin/libtool" PATH='/usr/ports/pobj/py-numpy-1.25.2-python3/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin:/usr/X11R6/bin' PREFIX='/usr/local' LOCALBASE='/usr/local' X11BASE='/usr/X11R6' CFLAGS='-O2 -pipe -g -D CYTHON_SMALL_CODE=' TRUEPREFIX='/usr/local' DESTDIR='' HOME='/py-numpy-1.25.2_writes_to_HOME' PICFLAG="-fpic" BINGRP=bin BINOWN=root BINMODE=755 NONBINMODE=644 DIRMODE=755 INSTALL_COPY=-c INSTALL_STRIP= MANGRP=bin MANOWN=root MANMODE=644 BSD_INSTALL_PROGRAM="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 755" BSD_INSTALL_SCRIPT="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 755" BSD_INSTALL_DATA="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 644" BSD_INSTALL_MAN="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -c -m 644" BSD_INSTALL_PROGRAM_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" BSD_INSTALL_SCRIPT_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" BSD_INSTALL_DATA_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" BSD_INSTALL_MAN_DIR="/usr/ports/pobj/py-numpy-1.25.2-python3/bin/install -d -m 755" /usr/local/bin/python3.10 -c 'import numpy ; numpy.test()' /usr/local/lib/python3.10/site-packages/numpy/_pytesttester.py:143: DeprecationWarning: `numpy.distutils` is deprecated since NumPy 1.23.0, as a result of the deprecation of `distutils` itself. It will be removed for Python >= 3.12. For older Python versions it will remain present. It is recommended to use `setuptools < 60.0` for those Python versions. For more details, see: https://numpy.org/devdocs/reference/distutils_status_migration.html from numpy.distutils import cpuinfo NumPy version 1.25.2 NumPy relaxed strides checking option: True NumPy CPU features: NEON NEON_FP16 NEON_VFPV4 ASIMD ........................................................................ [ 0%] ........................................................................ [ 0%] ............................................................x........... [ 0%] ........................................................................ [ 0%] ........................................................................ [ 1%] .................................x...................................... 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[ 93%] ............................................Fatal Python error: Segmentation fault Current thread 0x0000000fc2147dd8 (most recent call first): File "/usr/local/lib/python3.10/site-packages/numpy/testing/_private/utils.py", line 670 in func_assert_same_pos File "/usr/local/lib/python3.10/site-packages/numpy/testing/_private/utils.py", line 718 in assert_array_compare File "/usr/local/lib/python3.10/contextlib.py", line 79 in inner File "/usr/local/lib/python3.10/site-packages/numpy/testing/_private/utils.py", line 1034 in assert_array_almost_equal File "/usr/local/lib/python3.10/contextlib.py", line 79 in inner File "/usr/local/lib/python3.10/site-packages/numpy/testing/_private/utils.py", line 521 in assert_almost_equal File "/usr/local/lib/python3.10/contextlib.py", line 79 in inner File "/usr/local/lib/python3.10/site-packages/numpy/testing/_private/utils.py", line 515 in assert_almost_equal File "/usr/local/lib/python3.10/contextlib.py", line 79 in inner File "/usr/local/lib/python3.10/site-packages/numpy/linalg/tests/test_linalg.py", line 41 in assert_almost_equal File "/usr/local/lib/python3.10/site-packages/numpy/linalg/tests/test_linalg.py", line 1747 in check_qr_stacked File "/usr/local/lib/python3.10/site-packages/numpy/linalg/tests/test_linalg.py", line 1784 in test_stacked_inputs File "/usr/local/lib/python3.10/site-packages/_pytest/python.py", line 192 in pytest_pyfunc_call File "/usr/local/lib/python3.10/site-packages/pluggy/_callers.py", line 77 in _multicall File "/usr/local/lib/python3.10/site-packages/pluggy/_manager.py", line 115 in _hookexec File "/usr/local/lib/python3.10/site-packages/pluggy/_hooks.py", line 493 in __call__ File "/usr/local/lib/python3.10/site-packages/_pytest/python.py", line 1761 in runtest File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 166 in pytest_runtest_call File "/usr/local/lib/python3.10/site-packages/pluggy/_callers.py", line 77 in _multicall File "/usr/local/lib/python3.10/site-packages/pluggy/_manager.py", line 115 in _hookexec File "/usr/local/lib/python3.10/site-packages/pluggy/_hooks.py", line 493 in __call__ File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 259 in <lambda> File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 338 in from_call File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 258 in call_runtest_hook File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 219 in call_and_report File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 130 in runtestprotocol File "/usr/local/lib/python3.10/site-packages/_pytest/runner.py", line 111 in pytest_runtest_protocol File "/usr/local/lib/python3.10/site-packages/pluggy/_callers.py", line 77 in _multicall File "/usr/local/lib/python3.10/site-packages/pluggy/_manager.py", line 115 in _hookexec File "/usr/local/lib/python3.10/site-packages/pluggy/_hooks.py", line 493 in __call__ File "/usr/local/lib/python3.10/site-packages/_pytest/main.py", line 347 in pytest_runtestloop File "/usr/local/lib/python3.10/site-packages/pluggy/_callers.py", line 77 in _multicall File "/usr/local/lib/python3.10/site-packages/pluggy/_manager.py", line 115 in _hookexec File "/usr/local/lib/python3.10/site-packages/pluggy/_hooks.py", line 493 in __call__ File "/usr/local/lib/python3.10/site-packages/_pytest/main.py", line 322 in _main File "/usr/local/lib/python3.10/site-packages/_pytest/main.py", line 268 in wrap_session File "/usr/local/lib/python3.10/site-packages/_pytest/main.py", line 315 in pytest_cmdline_main File "/usr/local/lib/python3.10/site-packages/pluggy/_callers.py", line 77 in _multicall File "/usr/local/lib/python3.10/site-packages/pluggy/_manager.py", line 115 in _hookexec File "/usr/local/lib/python3.10/site-packages/pluggy/_hooks.py", line 493 in __call__ File "/usr/local/lib/python3.10/site-packages/_pytest/config/__init__.py", line 164 in main File "/usr/local/lib/python3.10/site-packages/numpy/_pytesttester.py", line 202 in __call__ File "<string>", line 1 in <module> Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, numpy.linalg.lapack_lite, numpy.core._rational_tests, numpy.core._umath_tests, numpy.core._simd, numpy.core._operand_flag_tests, checks, mem_policy, _testbuffer, numpy.core._struct_ufunc_tests, _test_abstract_interface_TestAbstractInterface_ext_module, test_array_from_pyobj_ext, _test_block_docstring_TestBlockDocString_ext_module, _test_callback_TestF77Callback_ext_module, _test_callback_TestF77CallbackPythonTLS_ext_module, _test_callback_TestF90Callback_ext_module, _test_callback_TestGH18335_ext_module, _test_character_TestCharacterString_ext_module, _test_character_TestCharacter_ext_module, _test_character_TestMiscCharacter_ext_module, _test_common_TestCommonBlock_ext_module, _test_crackfortran_TestNoSpace_ext_module, _test_crackfortran_TestExternal_ext_module, _test_crackfortran_TestCrackFortran_ext_module, _test_crackfortran_TestDimSpec_ext_module, _test_crackfortran_TestFunctionReturn_ext_module, _test_f2cmap_TestF2Cmap_ext_module, _test_kind_TestKind_ext_module, _test_mixed_TestMixed_ext_module, _test_module_doc_TestModuleDocString_ext_module, _test_quoted_character_TestQuotedCharacter_ext_module, _test_return_character_TestFReturnCharacter_ext_module, _test_return_complex_TestFReturnComplex_ext_module, _test_return_integer_TestFReturnInteger_ext_module, c_ext_return_real, _test_return_real_TestFReturnReal_ext_module, multiline, callstatement, _test_string_TestDocStringArguments_ext_module, _test_string_TestFixedString_ext_module, _test_value_attrspec_TestValueAttr_ext_module (total: 53) Segmentation fault (core dumped) *** Error 139 in . (Makefile:81 'do-test')

- 2024-01-06 16:17 Daniel Dickman:
  numpy 1.24.1 -> 1.25.2
- - 2024-01-06 18:41 Stuart Henderson:
    numpy 1.24.1 -> 1.25.2
  - - 2024-01-06 19:40 Theo Buehler:
      numpy 1.24.1 -> 1.25.2
    - - 2024-01-09 11:47 Stuart Henderson:
        numpy 1.24.1 -> 1.25.2

2024-01-08 15:40 Jeremie Courreges-Anglas:

numpy 1.24.1 -> 1.25.2