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NumPy 1.25 support #8698

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Description

@stuartarchibald

This is an issue stub to track support for NumPy 1.25. Anticipated release date (guessing based on previous release cadence) will be sometime near the middle of 2023.

Items to address:

  • TBC

Activity

  1. self-assigned this
    on Jun 6, 2023
  2. apmasell commented on Jun 8, 2023

    @apmasell
    Contributor

    Performed an initial test with 1.25rc0 from pip and llvmlite from conda on x86-64 Ubuntu Linux with Python 3.11 coming from conda. Running the test suite using NUMPY_EXPERIMENTAL_DTYPE_API=1 python runtests.py -m 11 produced failures in the following tests:

    • Fancy indexing (numba.tests.test_fancy_indexing.TestFancyIndexingMultiDim.test_getitem) all produced errors similar to
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_fancy_indexing.py", line 449, in test_getitem
        self.check_getitem_indices(self.shape, idx)
      File "/home/andre/workspace/numba/numba/tests/test_fancy_indexing.py", line 409, in check_getitem_indices
        self.assertNotIn(expected.base, orig_base)
      File "/home/andre/miniconda3/envs/numpy1.25/lib/python3.11/unittest/case.py", line 1144, in assertNotIn
        if member in container:
           ^^^^^^^^^^^^^^^^^^^
    ValueError: operands could not be broadcast together with shapes (5,6,7,8,9,10) (5,1,9,10) 
    

    This test is repeated many times with different parameters, but they all fail in the same way.

    • ufuncs and comparison operators (numba.tests.test_ufuncs.TestLoopTypesInt.test_equal_Qq_?, numba.tests.test_ufuncs.TestLoopTypesInt.test_greater_Qq_?, numba.tests.test_ufuncs.TestLoopTypesInt.test_greater_equal_Qq_?, numba.tests.test_ufuncs.TestLoopTypesInt.test_greater_qQ_?, numba.tests.test_ufuncs.TestLoopTypesInt.test_less_Qq_?, numba.tests.test_ufuncs.TestLoopTypesInt.test_less_equal_qQ_?, numba.tests.test_ufuncs.TestLoopTypesInt.test_not_equal_Qq_?)
      This is for equals, but the other are similar:
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/core/typeinfer.py", line 155, in propagate
        constraint(typeinfer)
      File "/home/andre/workspace/numba/numba/core/typeinfer.py", line 578, in __call__
        self.resolve(typeinfer, typevars, fnty)
      File "/home/andre/workspace/numba/numba/core/typeinfer.py", line 601, in resolve
        sig = typeinfer.resolve_call(fnty, pos_args, kw_args)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/typeinfer.py", line 1557, in resolve_call
        return self.context.resolve_function_type(fnty, pos_args, kw_args)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/typing/context.py", line 213, in resolve_function_type
        raise last_exception
      File "/home/andre/workspace/numba/numba/core/typing/context.py", line 196, in resolve_function_type
        res = self._resolve_user_function_type(func, args, kws)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/typing/context.py", line 248, in _resolve_user_function_type
        return func.get_call_type(self, args, kws)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/types/functions.py", line 331, in get_call_type
        failures.raise_error()
      File "/home/andre/workspace/numba/numba/core/types/functions.py", line 227, in raise_error
        raise errors.TypingError(self.format())
    numba.core.errors.TypingError: No implementation of function Function(<ufunc 'equal'>) found for signature:
     
     >>> equal(array(uint64, 1d, C), array(int64, 1d, C), array(bool, 1d, C))
     
    There are 2 candidate implementations:
      - Of which 2 did not match due to:
      Overload in function 'Numpy_rules_ufunc.generic': File: numba/core/typing/npydecl.py: Line 97.
        With argument(s): '(array(uint64, 1d, C), array(int64, 1d, C), array(bool, 1d, C))':
       Rejected as the implementation raised a specific error:
         TypingError: ufunc 'equal' using the loop 'Qq->?' not supported in this mode
           Traceback (most recent call last):
             File "/home/andre/workspace/numba/numba/core/types/functions.py", line 308, in get_call_type
               sig = temp.apply(nolitargs, nolitkws)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
             File "/home/andre/workspace/numba/numba/core/typing/templates.py", line 351, in apply
               sig = generic(args, kws)
                     ^^^^^^^^^^^^^^^^^^
             File "/home/andre/workspace/numba/numba/core/typing/npydecl.py", line 111, in generic
               raise TypingError(msg=msg.format(ufunc.__name__, ufunc_loop.ufunc_sig))
           numba.core.errors.TypingError: ufunc 'equal' using the loop 'Qq->?' not supported in this mode
      raised from /home/andre/workspace/numba/numba/core/typing/npydecl.py:111
    
    During: resolving callee type: Function(<ufunc 'equal'>)
    During: typing of call at <string> (2)
    
    
    The above exception was the direct cause of the following exception:
    
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_ufuncs.py", line 1472, in test_template
        self._check_loop(fn, ufunc, loop)
      File "/home/andre/workspace/numba/numba/tests/test_ufuncs.py", line 1418, in _check_loop
        self._check_ufunc_with_dtypes(fn, ufunc, letter_types)
      File "/home/andre/workspace/numba/numba/tests/test_ufuncs.py", line 1434, in _check_ufunc_with_dtypes
        cfunc = njit(arg_nbty)(fn)
                ^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/decorators.py", line 241, in wrapper
        disp.compile(sig)
      File "/home/andre/workspace/numba/numba/core/dispatcher.py", line 965, in compile
        cres = self._compiler.compile(args, return_type)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/dispatcher.py", line 129, in compile
        raise retval
      File "/home/andre/workspace/numba/numba/core/dispatcher.py", line 139, in _compile_cached
        retval = self._compile_core(args, return_type)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/dispatcher.py", line 152, in _compile_core
        cres = compiler.compile_extra(self.targetdescr.typing_context,
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/compiler.py", line 762, in compile_extra
        return pipeline.compile_extra(func)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/compiler.py", line 460, in compile_extra
        return self._compile_bytecode()
               ^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/compiler.py", line 528, in _compile_bytecode
        return self._compile_core()
               ^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/compiler.py", line 507, in _compile_core
        raise e
      File "/home/andre/workspace/numba/numba/core/compiler.py", line 494, in _compile_core
        pm.run(self.state)
      File "/home/andre/workspace/numba/numba/core/compiler_machinery.py", line 368, in run
        raise patched_exception
      File "/home/andre/workspace/numba/numba/core/compiler_machinery.py", line 356, in run
        self._runPass(idx, pass_inst, state)
      File "/home/andre/workspace/numba/numba/core/compiler_lock.py", line 35, in _acquire_compile_lock
        return func(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/compiler_machinery.py", line 311, in _runPass
        mutated |= check(pss.run_pass, internal_state)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/compiler_machinery.py", line 273, in check
        mangled = func(compiler_state)
                  ^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/typed_passes.py", line 110, in run_pass
        typemap, return_type, calltypes, errs = type_inference_stage(
                                                ^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/typed_passes.py", line 88, in type_inference_stage
        errs = infer.propagate(raise_errors=raise_errors)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/core/typeinfer.py", line 1086, in propagate
        raise errors[0]
    numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
    No implementation of function Function(<ufunc 'equal'>) found for signature:
     
     >>> equal(array(uint64, 1d, C), array(int64, 1d, C), array(bool, 1d, C))
     
    There are 2 candidate implementations:
      - Of which 2 did not match due to:
      Overload in function 'Numpy_rules_ufunc.generic': File: numba/core/typing/npydecl.py: Line 97.
        With argument(s): '(array(uint64, 1d, C), array(int64, 1d, C), array(bool, 1d, C))':
       Rejected as the implementation raised a specific error:
         TypingError: ufunc 'equal' using the loop 'Qq->?' not supported in this mode
           Traceback (most recent call last):
             File "/home/andre/workspace/numba/numba/core/types/functions.py", line 308, in get_call_type
               sig = temp.apply(nolitargs, nolitkws)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
             File "/home/andre/workspace/numba/numba/core/typing/templates.py", line 351, in apply
               sig = generic(args, kws)
                     ^^^^^^^^^^^^^^^^^^
             File "/home/andre/workspace/numba/numba/core/typing/npydecl.py", line 111, in generic
               raise TypingError(msg=msg.format(ufunc.__name__, ufunc_loop.ufunc_sig))
           numba.core.errors.TypingError: ufunc 'equal' using the loop 'Qq->?' not supported in this mode
      raised from /home/andre/workspace/numba/numba/core/typing/npydecl.py:111
    
    During: resolving callee type: Function(<ufunc 'equal'>)
    During: typing of call at <string> (2)
    
    
    File "<string>", line 2:
    <source missing, REPL/exec in use?>
    
    • Numeric differences
    ======================================================================
    FAIL: test_explicit_output (numba.tests.test_array_exprs.TestArrayExpressions.test_explicit_output)
    Check that ufunc calls with explicit outputs are not rewritten.
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_array_exprs.py", line 387, in test_explicit_output
        ns = self._test_explicit_output_function(explicit_output)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/tests/test_array_exprs.py", line 247, in _test_explicit_output_function
        self.assertPreciseEqual(expected, run_func(control_cfunc))
      File "/home/andre/workspace/numba/numba/tests/support.py", line 431, in assertPreciseEqual
        self.fail("when comparing %s and %s: %s" % (first, second, failure_msg))
    AssertionError: when comparing [2.         2.54030231 2.58385316 3.0100075  4.34635638 6.28366219
     7.96017029 8.75390225 8.85449997 9.08886974] and [2.         2.54030231 2.58385316 3.0100075  4.34635638 6.28366219
     7.96017029 8.75390225 8.85449997 9.08886974]: 8.753902254343306 != 8.753902254343304
    
    ======================================================================
    FAIL: test_index_ufunc (numba.tests.test_extending.TestPandasLike.test_index_ufunc)
    Check Numpy ufunc on an Index object.
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_extending.py", line 641, in test_index_ufunc
        self.assertPreciseEqual(ii._data, np.cos(np.sin(i._data)))
      File "/home/andre/workspace/numba/numba/tests/support.py", line 431, in assertPreciseEqual
        self.fail("when comparing %s and %s: %s" % (first, second, failure_msg))
    AssertionError: when comparing [0.60858395 0.54922627 0.57440088] and [0.60858395 0.54922627 0.57440088]: 0.549226270051226 != 0.5492262700512262
    
    ======================================================================
    FAIL: test_series_ufunc (numba.tests.test_extending.TestPandasLike.test_series_ufunc)
    Check Numpy ufunc on an Series object.
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_extending.py", line 688, in test_series_ufunc
        self.assertPreciseEqual(ss._values, np.cos(np.sin(s._values)))
      File "/home/andre/workspace/numba/numba/tests/support.py", line 431, in assertPreciseEqual
        self.fail("when comparing %s and %s: %s" % (first, second, failure_msg))
    AssertionError: when comparing [0.66636675 0.61430028 0.99005909] and [0.66636675 0.61430028 0.99005909]: 0.9900590857598653 != 0.9900590857598652
    
    ======================================================================
    FAIL: test_lift_objectmode_issue_4223 (numba.tests.test_looplifting.TestLoopLiftingInAction.test_lift_objectmode_issue_4223)
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_looplifting.py", line 597, in test_lift_objectmode_issue_4223
        self.assertPreciseEqual(got[0], expected[0])
      File "/home/andre/workspace/numba/numba/tests/support.py", line 431, in assertPreciseEqual
        self.fail("when comparing %s and %s: %s" % (first, second, failure_msg))
    AssertionError: when comparing [ 0.00000000e+00  6.00000000e-01  1.20594822e+00  2.25499606e-01
      4.25898681e-01 -5.33614291e-01  1.36706160e+00 -1.34021850e+00
      5.23070804e-01 -4.72923276e-01  6.62389275e-01  9.42015150e-01
      9.99429452e-02  2.70661127e-01  1.33434731e+00 -8.45334759e-01
      1.07273478e-01  1.14013924e+00 -1.20017878e+00  6.60176728e-01
     -5.13288387e-01  6.22256752e-01  9.23177334e-01  7.47942821e-02
      2.66939817e-01  1.38021976e+00 -7.71070449e-01  1.71786650e-01
      1.08956014e+00 -1.11852106e+00  5.77962602e-01  9.62511128e-02
      5.42178967e-02  1.50806287e+00 -1.13648115e+00  3.81295932e-01
      5.68968964e-01 -5.03736024e-01  9.97259578e-01 -3.04152017e-01
      2.27325903e-01  1.45115552e+00  5.31200203e-01  1.26552708e+00
      4.49615479e-01  5.74244718e-01  2.81627526e-01 -5.55711958e-02
      1.24803083e+00 -1.30446080e+00  5.57880856e-01 -1.76750748e-01
      5.99183340e-01 -2.49193497e-01  3.11842499e-01  1.47679647e+00
      5.06572976e-01  1.34770745e+00  5.55921455e-01  9.57654538e-01
      1.06527761e-01  2.73298408e-01  1.32006357e+00 -8.58385604e-01
      9.45120476e-02  1.14618688e+00 -1.21088703e+00  6.73358821e-01
     -6.10132504e-01  7.85085859e-01  4.60656269e-01 -4.11103926e-03
      3.26580591e-04  1.59875792e+00 -6.47470576e-01  6.73131965e-01
      4.88314407e-01 -1.43531673e-02  6.34683742e-01 -5.89671722e-01
      8.05539229e-01  4.66651586e-01 -2.84483309e-03  5.81166954e-03
      1.59806061e+00 -6.55665691e-01  6.65642291e-01  5.05516589e-01
     -3.09029371e-02  6.04282880e-01 -5.37791031e-01  7.31660418e-01
      7.17388196e-01  2.87923258e-03  2.09582336e-01  1.51291877e+00
     -5.45541279e-01  5.45264850e-01  5.81513540e-01 -2.59012975e-01
      6.15707728e-01 -7.29228664e-02  1.86899383e-01  1.56668756e+00
     -1.74820326e-01  1.01257748e+00 -8.14803043e-01  3.82546452e-01
      7.65785914e-01  3.17690604e-01  1.47946485e-01  9.42296260e-01
     -1.01447169e+00  8.58899708e-01 -6.71518710e-01  5.57155272e-01
      7.35556711e-01  6.82205696e-02  1.95922574e-01  1.44672464e+00
     -8.68258063e-01  2.57752763e-01  1.06528115e+00 -9.94183355e-01
      3.36854188e-01  9.01563318e-01 -7.91080141e-01  3.89324940e-01
      9.42002131e-01 -7.05306213e-01  1.77874125e-01  1.03511493e+00
     -1.07692178e+00  6.48155152e-01 -6.38193248e-03  1.70980274e-01
      1.54286829e+00 -5.45518519e-01  6.16459402e-01  4.88692425e-01
     -1.01198386e-01  7.17192815e-01 -5.29173336e-01  5.86037155e-01
      9.40771022e-01  8.81684367e-02  2.69839941e-01  1.35565985e+00
     -8.11023389e-01  1.32275578e-01  1.12185407e+00 -1.17194616e+00
      6.33613502e-01 -2.95133859e-01  3.61212438e-01  1.42041874e+00
      5.39130988e-01  1.08801684e+00  2.08607041e-01  3.07690528e-01
      1.06671040e+00 -9.01075537e-01  1.80968317e-01  1.11282890e+00
     -1.12168126e+00  5.13148194e-01  2.83793089e-01 -1.33428982e-01
      1.32203550e+00 -1.35782807e+00  4.04850318e-01  4.06241708e-01
      4.87630096e-01 -4.11765324e-01  1.11253559e+00 -6.70669447e-01
      7.69919668e-02  1.04265598e+00  7.69025304e-01  8.24861758e-01
      8.39229356e-02  2.38075738e-01  1.38940817e+00 -8.56387001e-01
      1.73032560e-01  1.11897000e+00 -1.13361490e+00  5.27945354e-01
      2.04810403e-01 -6.59807114e-02  1.42521292e+00 -1.42301957e+00
      5.49358167e-01 -5.71802265e-01  1.18920141e+00 -8.79371380e-01
     -2.82313088e-02  9.32174830e-01  9.55079327e-01  8.82345900e-01] and [ 0.00000000e+00  6.00000000e-01  1.20594822e+00  2.25499606e-01
      4.25898681e-01 -5.33614291e-01  1.36706160e+00 -1.34021850e+00
      5.23070804e-01 -4.72923276e-01  6.62389275e-01  9.42015150e-01
      9.99429452e-02  2.70661127e-01  1.33434731e+00 -8.45334759e-01
      1.07273478e-01  1.14013924e+00 -1.20017878e+00  6.60176728e-01
     -5.13288387e-01  6.22256752e-01  9.23177334e-01  7.47942821e-02
      2.66939817e-01  1.38021976e+00 -7.71070449e-01  1.71786650e-01
      1.08956014e+00 -1.11852106e+00  5.77962602e-01  9.62511127e-02
      5.42178967e-02  1.50806287e+00 -1.13648115e+00  3.81295932e-01
      5.68968965e-01 -5.03736024e-01  9.97259576e-01 -3.04152012e-01
      2.27325905e-01  1.45115553e+00  5.31200199e-01  1.26552709e+00
      4.49615500e-01  5.74244766e-01  2.81627459e-01 -5.55710992e-02
      1.24803090e+00 -1.30446091e+00  5.57881027e-01 -1.76751786e-01
      5.99183870e-01 -2.49191630e-01  3.11840912e-01  1.47679835e+00
      5.06570334e-01  1.34771486e+00  5.55928361e-01  9.57700888e-01
      1.06549144e-01  2.73306091e-01  1.32001738e+00 -8.58427494e-01
      9.44752383e-02  1.14620383e+00 -1.21091606e+00  6.73392286e-01
     -6.10383730e-01  7.85558909e-01  4.59103149e-01 -3.95696255e-03
     -1.47218737e-03  1.59886868e+00 -6.48001055e-01  6.73008307e-01
      4.88791191e-01 -1.46805067e-02  6.33716836e-01 -5.88308284e-01
      8.03970846e-01  4.73084679e-01 -3.36586186e-03  1.30746503e-02
      1.59732109e+00 -6.53392187e-01  6.65539627e-01  5.04680750e-01
     -3.08159505e-02  6.06397577e-01 -5.39786244e-01  7.33424145e-01
      7.10368639e-01  1.50133877e-03  2.06282627e-01  1.51618957e+00
     -5.42973419e-01  5.54854345e-01  5.66410997e-01 -2.35567697e-01
      6.34234746e-01 -1.47316800e-01  2.45109308e-01  1.54615359e+00
      2.16837400e-01  1.36367199e+00 -9.72950280e-01  1.60254100e-01
      1.09798087e+00 -1.13430620e+00  5.97682913e-01 -2.32925975e-02
      1.43171122e-01  1.56667642e+00 -4.82389962e-01  7.25580392e-01
      2.35271354e-01  1.31758362e-01  1.17345436e+00 -1.20252393e+00
      5.63139926e-01 -1.44083308e-01  2.02958415e-01  1.56009721e+00
      1.65995872e-01  1.34490506e+00 -1.13260740e+00  2.57115719e-01
      7.98888908e-01 -8.23203414e-01  8.48288667e-01 -3.06950514e-02
      2.63628656e-01  1.50655243e+00 -2.95476127e-01  7.37442540e-01
     -1.36268942e-01  2.73996925e-01  1.53584606e+00  2.05109706e-01
      1.32888802e+00 -1.05024828e+00  1.79737321e-01  1.01664343e+00
     -1.06183779e+00  6.73270046e-01 -4.65435491e-02  2.07267070e-01
      1.54828702e+00 -2.89572161e-01  8.52015694e-01 -3.23212807e-01
      3.27200369e-01  1.40842319e+00  5.35609852e-01  1.01886923e+00
      1.51190871e-01  2.86134583e-01  1.21910927e+00 -9.20740121e-01
      7.37359459e-02  1.15440717e+00 -1.22482559e+00  6.88765275e-01
     -7.23886035e-01  1.02920598e+00 -5.52235849e-01  4.36105999e-03
      7.40469043e-01 -7.22115223e-01  8.87712899e-01 -7.89419460e-02
      4.53944231e-02 -3.37168297e-01 -5.25541553e-02  1.29573518e+00
      6.11468761e-01  1.25033786e+00  4.05757249e-01  7.43695485e-01
     -5.87173395e-01  5.38280884e-01  6.42529619e-01 -2.98990687e-01
      4.88014940e-01  1.32995369e-01 -6.63281688e-02  1.53253986e+00
     -1.30371325e+00  4.89499983e-01 -2.48279079e-01  2.61988548e-01
      1.49318114e+00  4.83454968e-01  1.39291450e+00  5.70224892e-01
      1.23964933e+00  4.45440939e-01  5.52547561e-01  3.01934062e-01]: 0.6 != 0.5999999999999999
    
    ======================================================================
    FAIL: test_windowing (numba.tests.test_np_functions.TestNPFunctions.test_windowing)
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_np_functions.py", line 4739, in test_windowing
        check_window(np_blackman)
      File "/home/andre/workspace/numba/numba/tests/test_np_functions.py", line 4731, in check_window
        self.assertPreciseEqual(expected, got, prec='double')
      File "/home/andre/workspace/numba/numba/tests/support.py", line 431, in assertPreciseEqual
        self.fail("when comparing %s and %s: %s" % (first, second, failure_msg))
    AssertionError: when comparing [8.32667268e-17 3.40000000e-01 1.00000000e+00 3.40000000e-01
     8.32667268e-17] and [-1.38777878e-17  3.40000000e-01  1.00000000e+00  3.40000000e-01
     -1.38777878e-17]: 8.326672684688674e-17 != -1.3877787807814457e-17 within 1.0785207688568521e-32 delta (9.71445146547012e-17 difference)
    
    ======================================================================
    FAIL: test_basic_offload (numba.tests.test_target_extension.TestTargetOffload.test_basic_offload)
    ----------------------------------------------------------------------
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/tests/test_target_extension.py", line 775, in test_basic_offload
        self.assertPreciseEqual(foo(5), np.sin(5))
      File "/home/andre/workspace/numba/numba/tests/support.py", line 431, in assertPreciseEqual
        self.fail("when comparing %s and %s: %s" % (first, second, failure_msg))
    AssertionError: when comparing -0.9589242746631385 and -0.9589242746631387: -0.9589242746631385 != -0.9589242746631387
    

    I've omitted a number of parallel/parfors tests that I think are due to my environment.

  3. apmasell commented on Jun 9, 2023

    @apmasell
    Contributor

    Running python runtests.py -m 11 without the NUMPY_EXPERIMENTAL_DTYPE_API environment variables yields:

    RuntimeError: The new DType API is currently in an exploratory phase and should NOT be used for production code.  Expect modifications and crashes!  To experiment with the new API you must set `NUMPY_EXPERIMENTAL_DTYPE_API=1` as an environment variable.
    Traceback (most recent call last):
      File "/home/andre/workspace/numba/numba/testing/__init__.py", line 29, in load_testsuite
        suite.addTests(loader.loadTestsFromName(f))
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/miniconda3/envs/numpy1.25/lib/python3.11/unittest/loader.py", line 154, in loadTestsFromName
        module = __import__(module_name)
                 ^^^^^^^^^^^^^^^^^^^^^^^
      File "/home/andre/workspace/numba/numba/tests/npyufunc/test_gufunc.py", line 5, in <module>
        import numpy.core.umath_tests as ut
      File "/home/andre/miniconda3/envs/numpy1.25/lib/python3.11/site-packages/numpy/core/umath_tests.py", line 13, in <module>
        from ._umath_tests import *
    RuntimeError: cannot load _umath_tests module.
    
  4. apmasell commented on Jun 12, 2023

    @apmasell
    Contributor

    These bugs are fixed in #9011

  5. added this to the Numba 0.58 RC milestone on Jun 27, 2023
  6. esc commented on Jun 27, 2023

    @esc
    Member

    This work (the PR at #9011) is now scheduled for inclusion in 0.58.

  7. esc commented on Aug 1, 2023

    @esc
    Member

    #9105 was merged and this can now be closed.

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