NumPy 1.25 support #8698

stuartarchibald · 2023-01-05T17:44:43Z

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

apmasell · 2023-06-08T20:54:56Z

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.

apmasell · 2023-06-09T16:57:34Z

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.

apmasell · 2023-06-12T20:56:22Z

These bugs are fixed in #9011

esc · 2023-06-27T11:08:04Z

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

esc · 2023-08-01T10:44:00Z

#9105 was merged and this can now be closed.

stuartarchibald added Task numpy labels Jan 5, 2023

stuartarchibald mentioned this issue Jan 5, 2023

Please test with the NumPy release candidate #8116

Closed

esc mentioned this issue Mar 10, 2023

Python 3.11 #8304

Closed

apmasell self-assigned this Jun 6, 2023

esc added this to the Numba 0.58 RC milestone Jun 27, 2023

esc added the feature_request label Jun 27, 2023

esc added the highpriority label Jun 27, 2023

iyanmv mentioned this issue Jul 6, 2023

Support for numpy v1.25 mhostetter/galois#491

Closed

martinkim0 mentioned this issue Jul 17, 2023

Remove chex upperbound scverse/scvi-tools#2187

Closed

6 tasks

plurch mentioned this issue Jul 19, 2023

numpy >=1.25.0 dependency in conda-forge? benfred/implicit#679

Closed

BenTaylor-TfN mentioned this issue Jul 20, 2023

Numpy >=1.25.0 Transport-for-the-North/caf.toolkit#36

Closed

ml31415 mentioned this issue Jul 28, 2023

rerun benchmarks with numpy 1.25 ml31415/numpy-groupies#73

Closed

esc closed this as completed Aug 1, 2023

maxwest-uw mentioned this issue Aug 1, 2023

make numpy required dependency astronomy-commons/hats-import#113

Merged

5 tasks

blakeNaccarato mentioned this issue Sep 18, 2023

Numba needs NumPy 1.25 or less #9201

Closed

chdyxh mentioned this issue Nov 28, 2023

can not open infraview LANL-Seismoacoustics/infrapy#22

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NumPy 1.25 support #8698

NumPy 1.25 support #8698

stuartarchibald commented Jan 5, 2023

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apmasell commented Jun 9, 2023

apmasell commented Jun 12, 2023

esc commented Jun 27, 2023

esc commented Aug 1, 2023

NumPy 1.25 support #8698

NumPy 1.25 support #8698

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stuartarchibald commented Jan 5, 2023

apmasell commented Jun 8, 2023

apmasell commented Jun 9, 2023

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esc commented Jun 27, 2023

esc commented Aug 1, 2023