BUG: test_linear_interpolation_formula_symmetric fails on MacOS, local build of numpy and cpython

numpy.test()

================================================================= FAILURES ==================================================================
___________________________________________ TestLerp.test_linear_interpolation_formula_symmetric ____________________________________________

self = <numpy.lib.tests.test_function_base.TestLerp object at 0x11bc33e10>

    @hypothesis.given(t=st.floats(allow_nan=False, allow_infinity=False,
>                                 min_value=0, max_value=1),
                      a=st.floats(allow_nan=False, allow_infinity=False,
                                  min_value=-1e300, max_value=1e300),
                      b=st.floats(allow_nan=False, allow_infinity=False,
                                  min_value=-1e300, max_value=1e300))

f          = <function given.<locals>.run_test_as_given.<locals>.wrapped_test at 0x11bb99190>
self       = <numpy.lib.tests.test_function_base.TestLerp object at 0x11bc33e10>

numpy/lib/tests/test_function_base.py:4157: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <numpy.lib.tests.test_function_base.TestLerp object at 0x11bc33e10>, t = 0.5, a = 562949953421314.0, b = -562949953421310.9

    @hypothesis.given(t=st.floats(allow_nan=False, allow_infinity=False,
                                  min_value=0, max_value=1),
                      a=st.floats(allow_nan=False, allow_infinity=False,
                                  min_value=-1e300, max_value=1e300),
                      b=st.floats(allow_nan=False, allow_infinity=False,
                                  min_value=-1e300, max_value=1e300))
    def test_linear_interpolation_formula_symmetric(self, t, a, b):
        # double subtraction is needed to remove the extra precision of t < 0.5
        left = nfb._lerp(a, b, 1 - (1 - t))
        right = nfb._lerp(b, a, 1 - t)
>       assert_allclose(left, right)
E       AssertionError: 
E       Not equal to tolerance rtol=1e-07, atol=0
E       
E       Mismatched elements: 1 / 1 (100%)
E       Max absolute difference among violations: 0.125
E       Max relative difference among violations: 0.08333333
E        ACTUAL: array(1.625)
E        DESIRED: array(1.5)
E       Falsifying example: test_linear_interpolation_formula_symmetric(
E           self=<numpy.lib.tests.test_function_base.TestLerp object at 0x11bc33e10>,
E           t=0.5,
E           a=562949953421314.0,
E           b=-562949953421310.9,
E       )
E       Explanation:
E           These lines were always and only run by failing examples:
E               /Users/iritkatriel/src/numpy-vanilla/numpy/_core/arrayprint.py:1002
E               /Users/iritkatriel/src/numpy-vanilla/numpy/_core/arrayprint.py:950
E               /Users/iritkatriel/src/numpy-vanilla/numpy/_core/arrayprint.py:997
E               /Users/iritkatriel/src/numpy-vanilla/numpy/_core/fromnumeric.py:3049
E               /Users/iritkatriel/src/numpy-vanilla/numpy/testing/_private/utils.py:830
E               (and 3 more with settings.verbosity >= verbose)
E       
E       You can reproduce this example by temporarily adding @reproduce_failure('6.104.1', b'AXicY2BgOMCAAEwwkrGZ/z8IPAcAMDoHOg==') as a decorator on your test case

a          = 562949953421314.0
b          = -562949953421310.9
left       = np.float64(1.625)
right      = np.float64(1.5)
self       = <numpy.lib.tests.test_function_base.TestLerp object at 0x11bc33e10>
t          = 0.5

numpy/lib/tests/test_function_base.py:4166: AssertionError
========================================================== short test summary info ==========================================================
FAILED numpy/lib/tests/test_function_base.py::TestLerp::test_linear_interpolation_formula_symmetric - AssertionError: 
1 failed, 46078 passed, 1776 skipped, 2637 deselected, 41 xfailed, 10 xpassed in 461.67s (0:07:41)
False

>>> import sys, numpy; print(numpy.__version__); print(sys.version)
2.3.0.dev0+git20250102.12364e3
3.14.0a2+ (heads/main:c91ccbe4ac0, Jan  7 2025, 23:31:27) [Clang 16.0.0 (clang-1600.0.26.6)]

>>> import numpy; numpy.show_runtime()
[{'numpy_version': '2.3.0.dev0+git20250102.12364e3',
  'python': '3.14.0a2+ (heads/main:c91ccbe4ac0, Jan  7 2025, 23:31:27) [Clang '
            '16.0.0 (clang-1600.0.26.6)]',
  'uname': uname_result(system='Darwin', node='Irits-MacBook-Pro.local', release='24.2.0', version='Darwin Kernel Version 24.2.0: Fri Dec  6 18:41:43 PST 2024; root:xnu-11215.61.5~2/RELEASE_X86_64', machine='x86_64')},
 {'simd_extensions': {'baseline': ['SSE', 'SSE2', 'SSE3'],
                      'found': ['SSSE3',
                                'SSE41',
                                'POPCNT',
                                'SSE42',
                                'AVX',
                                'F16C',
                                'FMA3',
                                'AVX2'],
                      'not_found': ['AVX512F',
                                    'AVX512CD',
                                    'AVX512_KNL',
                                    'AVX512_SKX',
                                    'AVX512_CLX',
                                    'AVX512_CNL',
                                    'AVX512_ICL']}}]
>>>