pool/python-numba
SHA256
2
0
Fork 1
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Accepting request 1127835 from devel:languages:python:numeric

Browse Source 
OBS-URL: https://build.opensuse.org/request/show/1127835
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numba?expand=0&rev=42
This commit is contained in:
Ana Guerrero 2023-11-21 20:32:16 +00:00 committed by Git OBS Bridge
commit ddd2b5c5f9
6 changed files with 23 additions and 628 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

61
multiprocessing-context.patch
View File

@ -1,61 +0,0 @@
From c59e46a177bf7134dec3a9a374ec75aec4576e31 Mon Sep 17 00:00:00 2001
From: Stuart Archibald <stuartarchibald@users.noreply.github.com>
Date: Thu, 7 Sep 2023 17:03:56 +0100
Subject: [PATCH] Fix issue with incompatible multiprocessing context in test.
This fixes an issue highlighted by a patch added to Python 3.11.5
which identifies if a semaphore created via one multiprocessing
context is in use by another (doing this is essentially a bug).
---
numba/tests/test_parallel_backend.py | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/numba/tests/test_parallel_backend.py b/numba/tests/test_parallel_backend.py
index b1bee4fa94e..db64b6971e4 100644
--- a/numba/tests/test_parallel_backend.py
+++ b/numba/tests/test_parallel_backend.py
@@ -819,13 +819,13 @@ def test_par_parent_explicit_mp_fork_par_child(self):
body = """if 1:
X = np.arange(1000000.)
Y = np.arange(1000000.)
- q = multiprocessing.Queue()
+ ctx = multiprocessing.get_context('fork')
+ q = ctx.Queue()
# Start OpenMP runtime on parent via parallel function
Z = busy_func(X, Y, q)
# fork() underneath with no exec, will abort
- ctx = multiprocessing.get_context('fork')
proc = ctx.Process(target = busy_func, args=(X, Y, q))
proc.start()
proc.join()
@@ -851,12 +851,12 @@ def test_par_parent_mp_spawn_par_child_par_parent(self):
body = """if 1:
X = np.arange(1000000.)
Y = np.arange(1000000.)
- q = multiprocessing.Queue()
+ ctx = multiprocessing.get_context('spawn')
+ q = ctx.Queue()
# Start OpenMP runtime and run on parent via parallel function
Z = busy_func(X, Y, q)
procs = []
- ctx = multiprocessing.get_context('spawn')
for x in range(20): # start a lot to try and get overlap
## fork() + exec() to run some OpenMP on children
proc = ctx.Process(target = busy_func, args=(X, Y, q))
@@ -937,11 +937,11 @@ def test_serial_parent_explicit_mp_fork_par_child_then_par_parent(self):
body = """if 1:
X = np.arange(1000000.)
Y = np.arange(1000000.)
- q = multiprocessing.Queue()
+ ctx = multiprocessing.get_context('fork')
+ q = ctx.Queue()
# this is ok
procs = []
- ctx = multiprocessing.get_context('fork')
for x in range(10):
# fork() underneath with but no OpenMP in parent, this is ok
proc = ctx.Process(target = busy_func, args=(X, Y, q))

3
numba-0.57.1.tar.gz
View File

@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:33c0500170d213e66d90558ad6aca57d3e03e97bb11da82e6d87ab793648cb17
size 2552795

BIN
numba-0.58.1.tar.gz (Stored with Git LFS) Normal file
View File

Binary file not shown.

555
numba-pr9105-np1.25.patch
View File

@ -1,555 +0,0 @@
Index: numba-0.57.1/docs/source/user/installing.rst
===================================================================
--- numba-0.57.1.orig/docs/source/user/installing.rst
+++ numba-0.57.1/docs/source/user/installing.rst
@@ -262,6 +262,8 @@ information.
+----------++--------------+---------------------------+----------------------------+------------------------------+-------------------+-----------------------------+
| Numba | Release date | Python | NumPy | llvmlite | LLVM | TBB |
+===========+==============+===========================+============================+==============================+===================+=============================+
+| 0.58.0 | UNRELEASED | 3.8.x <= version < 3.12 | 1.21 <= version < 1.26 | 0.41.x | 14.x | 2021.6 <= version |
++-----------+--------------+---------------------------+----------------------------+------------------------------+-------------------+-----------------------------+
| 0.57.1 | 2023-06-21 | 3.8.x <= version < 3.12 | 1.21 <= version < 1.25 | 0.40.x | 14.x | 2021.6 <= version |
+-----------+--------------+---------------------------+----------------------------+------------------------------+-------------------+-----------------------------+
| 0.57.0 | 2023-05-01 | 3.8.x <= version < 3.12 | 1.21 <= version < 1.25 | 0.40.x | 14.x | 2021.6 <= version |
Index: numba-0.57.1/docs/upcoming_changes/9011.np_support.rst
===================================================================
--- /dev/null
+++ numba-0.57.1/docs/upcoming_changes/9011.np_support.rst
@@ -0,0 +1,5 @@
+
+Add support for NumPy 1.25
+==========================
+
+Extend Numba to support new and changed features released in NumPy 1.25.
Index: numba-0.57.1/numba/core/typing/npdatetime.py
===================================================================
--- numba-0.57.1.orig/numba/core/typing/npdatetime.py
+++ numba-0.57.1/numba/core/typing/npdatetime.py
@@ -11,6 +11,7 @@ from numba.core.typing.templates import
AbstractTemplate, infer_global, infer,
infer_getattr, signature)
from numba.np import npdatetime_helpers
+from numba.np.numpy_support import numpy_version
# timedelta64-only operations
@@ -144,13 +145,22 @@ class TimedeltaTrueDiv(TimedeltaDivOp):
class TimedeltaFloorDiv(TimedeltaDivOp):
key = operator.floordiv
-@infer_global(operator.eq)
-class TimedeltaCmpEq(TimedeltaCmpOp):
- key = operator.eq
-
-@infer_global(operator.ne)
-class TimedeltaCmpNe(TimedeltaCmpOp):
- key = operator.ne
+if numpy_version >= (1, 25):
+ @infer_global(operator.eq)
+ class TimedeltaCmpEq(TimedeltaOrderedCmpOp):
+ key = operator.eq
+
+ @infer_global(operator.ne)
+ class TimedeltaCmpNe(TimedeltaOrderedCmpOp):
+ key = operator.ne
+else:
+ @infer_global(operator.eq)
+ class TimedeltaCmpEq(TimedeltaCmpOp):
+ key = operator.eq
+
+ @infer_global(operator.ne)
+ class TimedeltaCmpNe(TimedeltaCmpOp):
+ key = operator.ne
@infer_global(operator.lt)
class TimedeltaCmpLt(TimedeltaOrderedCmpOp):
@@ -228,7 +238,6 @@ class DatetimeMinusDatetime(AbstractTemp
left, right = args
if isinstance(left, types.NPDatetime) and isinstance(right,
types.NPDatetime):
- # All units compatible...
unit = npdatetime_helpers.get_best_unit(left.unit, right.unit)
return signature(types.NPTimedelta(unit), left, right)
Index: numba-0.57.1/numba/cpython/numbers.py
===================================================================
--- numba-0.57.1.orig/numba/cpython/numbers.py
+++ numba-0.57.1/numba/cpython/numbers.py
@@ -361,6 +361,38 @@ def int_ne_impl(context, builder, sig, a
return impl_ret_untracked(context, builder, sig.return_type, res)
+def int_signed_unsigned_cmp(op):
+ def impl(context, builder, sig, args):
+ (left, right) = args
+ # This code is translated from the NumPy source.
+ # What we're going to do is divide the range of a signed value at zero.
+ # If the signed value is less than zero, then we can treat zero as the
+ # unsigned value since the unsigned value is necessarily zero or larger
+ # and any signed comparison between a negative value and zero/infinity
+ # will yield the same result. If the signed value is greater than or
+ # equal to zero, then we can safely cast it to an unsigned value and do
+ # the expected unsigned-unsigned comparison operation.
+ # Original: https://github.com/numpy/numpy/pull/23713
+ cmp_zero = builder.icmp_signed('<', left, Constant(left.type, 0))
+ lt_zero = builder.icmp_signed(op, left, Constant(left.type, 0))
+ ge_zero = builder.icmp_unsigned(op, left, right)
+ res = builder.select(cmp_zero, lt_zero, ge_zero)
+ return impl_ret_untracked(context, builder, sig.return_type, res)
+ return impl
+
+
+def int_unsigned_signed_cmp(op):
+ def impl(context, builder, sig, args):
+ (left, right) = args
+ # See the function `int_signed_unsigned_cmp` for implementation notes.
+ cmp_zero = builder.icmp_signed('<', right, Constant(right.type, 0))
+ lt_zero = builder.icmp_signed(op, Constant(right.type, 0), right)
+ ge_zero = builder.icmp_unsigned(op, left, right)
+ res = builder.select(cmp_zero, lt_zero, ge_zero)
+ return impl_ret_untracked(context, builder, sig.return_type, res)
+ return impl
+
+
def int_abs_impl(context, builder, sig, args):
[x] = args
ZERO = Constant(x.type, None)
Index: numba-0.57.1/numba/cuda/tests/cudapy/test_gufunc.py
===================================================================
--- numba-0.57.1.orig/numba/cuda/tests/cudapy/test_gufunc.py
+++ numba-0.57.1/numba/cuda/tests/cudapy/test_gufunc.py
@@ -1,5 +1,4 @@
import numpy as np
-import numpy.core.umath_tests as ut
from collections import namedtuple
from numba import void, int32, float32, float64
@@ -42,7 +41,7 @@ class TestCUDAGufunc(CUDATestCase):
5)
C = gufunc(A, B)
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
self.assertTrue(np.allclose(C, Gold))
def test_gufunc_auto_transfer(self):
@@ -58,7 +57,7 @@ class TestCUDAGufunc(CUDATestCase):
dB = cuda.to_device(B)
C = gufunc(A, dB).copy_to_host()
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
self.assertTrue(np.allclose(C, Gold))
def test_gufunc(self):
@@ -72,7 +71,7 @@ class TestCUDAGufunc(CUDATestCase):
5)
C = gufunc(A, B)
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
self.assertTrue(np.allclose(C, Gold))
def test_gufunc_hidim(self):
@@ -84,7 +83,7 @@ class TestCUDAGufunc(CUDATestCase):
B = np.arange(matrix_ct * 4 * 5, dtype=np.float32).reshape(4, 25, 4, 5)
C = gufunc(A, B)
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
self.assertTrue(np.allclose(C, Gold))
def test_gufunc_new_axis(self):
@@ -94,7 +93,7 @@ class TestCUDAGufunc(CUDATestCase):
X = np.random.randn(10, 3, 3)
Y = np.random.randn(3, 3)
- gold = ut.matrix_multiply(X, Y)
+ gold = np.matmul(X, Y)
res1 = gufunc(X, Y)
np.testing.assert_allclose(gold, res1)
@@ -122,7 +121,7 @@ class TestCUDAGufunc(CUDATestCase):
C = dC.copy_to_host(stream=stream)
stream.synchronize()
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
self.assertTrue(np.allclose(C, Gold))
Index: numba-0.57.1/numba/cuda/ufuncs.py
===================================================================
--- numba-0.57.1.orig/numba/cuda/ufuncs.py
+++ numba-0.57.1/numba/cuda/ufuncs.py
@@ -25,6 +25,7 @@ def ufunc_db():
from numba.np.npyfuncs import _check_arity_and_homogeneity
from numba.np.npyfuncs import (np_complex_acosh_impl, np_complex_cos_impl,
np_complex_sin_impl)
+ from numba.np.numpy_support import numpy_version
def np_unary_impl(fn, context, builder, sig, args):
_check_arity_and_homogeneity(sig, args, 1)
@@ -269,6 +270,10 @@ def ufunc_db():
'f->f': mathimpl.degrees_float_impl,
'd->d': mathimpl.degrees_float_impl,
}
+ if numpy_version >= (1, 25):
+ db[np.greater].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('>'),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('>')})
db[np.degrees] = db[np.rad2deg]
Index: numba-0.57.1/numba/np/arraymath.py
===================================================================
--- numba-0.57.1.orig/numba/np/arraymath.py
+++ numba-0.57.1/numba/np/arraymath.py
@@ -490,6 +490,7 @@ def return_false(a):
@overload(np.min)
+@overload(np.amin)
@overload_method(types.Array, "min")
def npy_min(a):
if not isinstance(a, types.Array):
@@ -539,6 +540,7 @@ def npy_min(a):
@overload(np.max)
+@overload(np.amax)
@overload_method(types.Array, "max")
def npy_max(a):
if not isinstance(a, types.Array):
@@ -3124,6 +3126,7 @@ def round_ndigits(x, ndigits):
@overload(np.around)
@overload(np.round)
+@overload(np.round_)
def impl_np_round(a, decimals=0, out=None):
if not type_can_asarray(a):
raise TypingError('The argument "a" must be array-like')
Index: numba-0.57.1/numba/np/ufunc_db.py
===================================================================
--- numba-0.57.1.orig/numba/np/ufunc_db.py
+++ numba-0.57.1/numba/np/ufunc_db.py
@@ -620,6 +620,10 @@ def _fill_ufunc_db(ufunc_db):
'FF->?': npyfuncs.np_complex_gt_impl,
'DD->?': npyfuncs.np_complex_gt_impl,
}
+ if numpy_version >= (1, 25):
+ ufunc_db[np.greater].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('>'),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('>')})
ufunc_db[np.greater_equal] = {
'??->?': numbers.int_uge_impl,
@@ -638,6 +642,10 @@ def _fill_ufunc_db(ufunc_db):
'FF->?': npyfuncs.np_complex_ge_impl,
'DD->?': npyfuncs.np_complex_ge_impl,
}
+ if numpy_version >= (1, 25):
+ ufunc_db[np.greater_equal].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('>='),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('>=')})
ufunc_db[np.less] = {
'??->?': numbers.int_ult_impl,
@@ -656,6 +664,10 @@ def _fill_ufunc_db(ufunc_db):
'FF->?': npyfuncs.np_complex_lt_impl,
'DD->?': npyfuncs.np_complex_lt_impl,
}
+ if numpy_version >= (1, 25):
+ ufunc_db[np.less].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('<'),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('<')})
ufunc_db[np.less_equal] = {
'??->?': numbers.int_ule_impl,
@@ -674,6 +686,10 @@ def _fill_ufunc_db(ufunc_db):
'FF->?': npyfuncs.np_complex_le_impl,
'DD->?': npyfuncs.np_complex_le_impl,
}
+ if numpy_version >= (1, 25):
+ ufunc_db[np.less_equal].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('<='),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('<=')})
ufunc_db[np.not_equal] = {
'??->?': numbers.int_ne_impl,
@@ -692,6 +708,10 @@ def _fill_ufunc_db(ufunc_db):
'FF->?': npyfuncs.np_complex_ne_impl,
'DD->?': npyfuncs.np_complex_ne_impl,
}
+ if numpy_version >= (1, 25):
+ ufunc_db[np.not_equal].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('!='),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('!=')})
ufunc_db[np.equal] = {
'??->?': numbers.int_eq_impl,
@@ -710,6 +730,10 @@ def _fill_ufunc_db(ufunc_db):
'FF->?': npyfuncs.np_complex_eq_impl,
'DD->?': npyfuncs.np_complex_eq_impl,
}
+ if numpy_version >= (1, 25):
+ ufunc_db[np.equal].update({
+ 'qQ->?': numbers.int_signed_unsigned_cmp('=='),
+ 'Qq->?': numbers.int_unsigned_signed_cmp('==')})
ufunc_db[np.logical_and] = {
'??->?': npyfuncs.np_logical_and_impl,
Index: numba-0.57.1/numba/tests/npyufunc/test_gufunc.py
===================================================================
--- numba-0.57.1.orig/numba/tests/npyufunc/test_gufunc.py
+++ numba-0.57.1/numba/tests/npyufunc/test_gufunc.py
@@ -2,7 +2,6 @@ import unittest
import pickle
import numpy as np
-import numpy.core.umath_tests as ut
from numba import void, float32, int64, jit, guvectorize
from numba.np.ufunc import GUVectorize
@@ -33,7 +32,7 @@ class TestGUFunc(TestCase):
B = np.arange(matrix_ct * 4 * 5, dtype=np.float32).reshape(matrix_ct, 4, 5)
C = gufunc(A, B)
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
np.testing.assert_allclose(C, Gold, rtol=1e-5, atol=1e-8)
@@ -108,7 +107,7 @@ class TestDynamicGUFunc(TestCase):
def test_dynamic_matmul(self):
def check_matmul_gufunc(gufunc, A, B, C):
- Gold = ut.matrix_multiply(A, B)
+ Gold = np.matmul(A, B)
gufunc(A, B, C)
np.testing.assert_allclose(C, Gold, rtol=1e-5, atol=1e-8)
Index: numba-0.57.1/numba/tests/test_array_methods.py
===================================================================
--- numba-0.57.1.orig/numba/tests/test_array_methods.py
+++ numba-0.57.1/numba/tests/test_array_methods.py
@@ -31,6 +31,9 @@ def np_around_unary(val):
def np_round_array(arr, decimals, out):
np.round(arr, decimals, out)
+def np_round__array(arr, decimals, out):
+ np.round_(arr, decimals, out)
+
def np_round_binary(val, decimals):
return np.round(val, decimals)
@@ -366,6 +369,9 @@ class TestArrayMethods(MemoryLeakMixin,
def test_around_array(self):
self.check_round_array(np_around_array)
+ def test_round__array(self):
+ self.check_round_array(np_round__array)
+
def test_around_bad_array(self):
for pyfunc in (np_round_unary, np_around_unary):
cfunc = jit(nopython=True)(pyfunc)
@@ -374,7 +380,7 @@ class TestArrayMethods(MemoryLeakMixin,
cfunc(None)
def test_around_bad_out(self):
- for py_func in (np_round_array, np_around_array):
+ for py_func in (np_round_array, np_around_array, np_round__array):
cfunc = jit(nopython=True)(py_func)
msg = '.*The argument "out" must be an array if it is provided.*'
with self.assertRaisesRegex(TypingError, msg):
Index: numba-0.57.1/numba/tests/test_array_reductions.py
===================================================================
--- numba-0.57.1.orig/numba/tests/test_array_reductions.py
+++ numba-0.57.1/numba/tests/test_array_reductions.py
@@ -75,12 +75,18 @@ def array_min(arr):
def array_min_global(arr):
return np.min(arr)
+def array_amin(arr):
+ return np.amin(arr)
+
def array_max(arr):
return arr.max()
def array_max_global(arr):
return np.max(arr)
+def array_amax(arr):
+ return np.amax(arr)
+
def array_argmin(arr):
return arr.argmin()
@@ -1110,6 +1116,7 @@ class TestArrayReductions(MemoryLeakMixi
array_all, array_all_global,
array_any, array_any_global,
array_min, array_min_global,
+ array_amax, array_amin,
array_max, array_max_global,
array_nanmax, array_nanmin,
array_nansum,
Index: numba-0.57.1/numba/tests/test_fancy_indexing.py
===================================================================
--- numba-0.57.1.orig/numba/tests/test_fancy_indexing.py
+++ numba-0.57.1/numba/tests/test_fancy_indexing.py
@@ -406,7 +406,7 @@ class TestFancyIndexingMultiDim(MemoryLe
expected = get_item(arr, index)
got = numba_get_item(arr, index)
# Sanity check: In advanced indexing, the result is always a copy.
- self.assertNotIn(expected.base, orig_base)
+ self.assertIsNot(expected.base, orig_base)
# Note: Numba may not return the same array strides and
# contiguity as NumPy
Index: numba-0.57.1/numba/tests/test_npdatetime.py
===================================================================
--- numba-0.57.1.orig/numba/tests/test_npdatetime.py
+++ numba-0.57.1/numba/tests/test_npdatetime.py
@@ -411,10 +411,18 @@ class TestTimedeltaArithmetic(TestCase):
check(TD('Nat', 'ms'), TD('Nat', 's'), True)
check(TD('Nat'), TD(1), False)
# Incompatible units => timedeltas compare unequal
- check(TD(1, 'Y'), TD(365, 'D'), False)
- check(TD(1, 'Y'), TD(366, 'D'), False)
- # ... except when both are NaT!
- check(TD('NaT', 'W'), TD('NaT', 'D'), True)
+ if numpy_version < (1, 25):
+ check(TD(1, 'Y'), TD(365, 'D'), False)
+ check(TD(1, 'Y'), TD(366, 'D'), False)
+ # ... except when both are NaT!
+ check(TD('NaT', 'W'), TD('NaT', 'D'), True)
+ else:
+ # incompatible units raise
+ # The exception is different depending on Python mode
+ with self.assertRaises((TypeError, TypingError)):
+ eq(TD(1, 'Y'), TD(365, 'D'))
+ with self.assertRaises((TypeError, TypingError)):
+ ne(TD(1, 'Y'), TD(365, 'D'))
def test_lt_ge(self):
lt = self.jit(lt_usecase)
Index: numba-0.57.1/numba/tests/test_ufuncs.py
===================================================================
--- numba-0.57.1.orig/numba/tests/test_ufuncs.py
+++ numba-0.57.1/numba/tests/test_ufuncs.py
@@ -256,6 +256,56 @@ class BasicUFuncTest(BaseUFuncTest):
else:
raise
+ def signed_unsigned_cmp_test(self, comparison_ufunc):
+ self.basic_ufunc_test(comparison_ufunc)
+
+ if numpy_support.numpy_version < (1, 25):
+ return
+
+ # Test additional implementations that specifically handle signed /
+ # unsigned comparisons added in NumPy 1.25:
+ # https://github.com/numpy/numpy/pull/23713
+ additional_inputs = (
+ (np.int64(-1), np.uint64(0)),
+ (np.int64(-1), np.uint64(1)),
+ (np.int64(0), np.uint64(0)),
+ (np.int64(0), np.uint64(1)),
+ (np.int64(1), np.uint64(0)),
+ (np.int64(1), np.uint64(1)),
+
+ (np.uint64(0), np.int64(-1)),
+ (np.uint64(0), np.int64(0)),
+ (np.uint64(0), np.int64(1)),
+ (np.uint64(1), np.int64(-1)),
+ (np.uint64(1), np.int64(0)),
+ (np.uint64(1), np.int64(1)),
+
+ (np.array([-1, -1, 0, 0, 1, 1], dtype=np.int64),
+ np.array([0, 1, 0, 1, 0, 1], dtype=np.uint64)),
+
+ (np.array([0, 1, 0, 1, 0, 1], dtype=np.uint64),
+ np.array([-1, -1, 0, 0, 1, 1], dtype=np.int64))
+ )
+
+ pyfunc = self._make_ufunc_usecase(comparison_ufunc)
+
+ for a, b in additional_inputs:
+ input_types = (typeof(a), typeof(b))
+ output_type = types.Array(types.bool_, 1, 'C')
+ argtys = input_types + (output_type,)
+ cfunc = self._compile(pyfunc, argtys)
+
+ if isinstance(a, np.ndarray):
+ result = np.zeros(a.shape, dtype=np.bool_)
+ else:
+ result = np.zeros(1, dtype=np.bool_)
+
+ expected = np.zeros_like(result)
+
+ pyfunc(a, b, expected)
+ cfunc(a, b, result)
+ np.testing.assert_equal(expected, result)
+
class TestUFuncs(BasicUFuncTest, TestCase):
def basic_int_ufunc_test(self, name=None):
@@ -505,22 +555,22 @@ class TestUFuncs(BasicUFuncTest, TestCas
############################################################################
# Comparison functions
def test_greater_ufunc(self):
- self.basic_ufunc_test(np.greater)
+ self.signed_unsigned_cmp_test(np.greater)
def test_greater_equal_ufunc(self):
- self.basic_ufunc_test(np.greater_equal)
+ self.signed_unsigned_cmp_test(np.greater_equal)
def test_less_ufunc(self):
- self.basic_ufunc_test(np.less)
+ self.signed_unsigned_cmp_test(np.less)
def test_less_equal_ufunc(self):
- self.basic_ufunc_test(np.less_equal)
+ self.signed_unsigned_cmp_test(np.less_equal)
def test_not_equal_ufunc(self):
- self.basic_ufunc_test(np.not_equal)
+ self.signed_unsigned_cmp_test(np.not_equal)
def test_equal_ufunc(self):
- self.basic_ufunc_test(np.equal)
+ self.signed_unsigned_cmp_test(np.equal)
def test_logical_and_ufunc(self):
self.basic_ufunc_test(np.logical_and)
Index: numba-0.57.1/numba/__init__.py
===================================================================
--- numba-0.57.1.orig/numba/__init__.py
+++ numba-0.57.1/numba/__init__.py
@@ -38,8 +38,9 @@ def _ensure_critical_deps():
msg = (f"Numba needs NumPy 1.21 or greater. Got NumPy "
f"{numpy_version[0]}.{numpy_version[1]}.")
raise ImportError(msg)
- elif numpy_version > (1, 24):
- raise ImportError("Numba needs NumPy 1.24 or less")
+ elif numpy_version > (1, 25):
+ # https://github.com/numba/numba/pull/9138
+ raise ImportError("Numba needs NumPy 1.25 or less")
try:
import scipy
except ImportError:
Index: numba-0.57.1/setup.py
===================================================================
--- numba-0.57.1.orig/setup.py
+++ numba-0.57.1/setup.py
@@ -23,7 +23,8 @@ min_python_version = "3.8"
max_python_version = "3.12" # exclusive
min_numpy_build_version = "1.11"
min_numpy_run_version = "1.21"
-max_numpy_run_version = "1.25"
+# https://github.com/numba/numba/pull/9138
+max_numpy_run_version = "1.26"
min_llvmlite_version = "0.40.0dev0"
max_llvmlite_version = "0.41"

15
python-numba.changes
View File

@ -1,3 +1,18 @@
-------------------------------------------------------------------
Mon Nov 20 12:15:07 UTC 2023 - Markéta Machová <mmachova@suse.com>
- Update to 0.58.1
* Added towncrier
* The minimum supported NumPy version is 1.22.
* Add support for NumPy 1.26
* Remove NVVM 3.4 and CTK 11.0 / 11.1 support
* Removal of Windows 32-bit Support
* The minimum llvmlite version is now 0.41.0.
* Added RVSDG-frontend
- Drop merged patches:
* numba-pr9105-np1.25.patch
* multiprocessing-context.patch
-------------------------------------------------------------------
Tue Sep 19 12:08:03 UTC 2023 - Markéta Machová <mmachova@suse.com>

14
python-numba.spec
View File

@ -17,9 +17,9 @@
%define plainpython python
# upper bound is exclusive: min-numpy_ver <= numpy < max_numpy_ve
%define min_numpy_ver 1.21
%define max_numpy_ver 1.26
# upper bound is exclusive: min-numpy_ver <= numpy < max_numpy_ver
%define min_numpy_ver 1.22
%define max_numpy_ver 1.27
%global flavor @BUILD_FLAVOR@%{nil}
%if "%{flavor}" == ""
@ -46,19 +46,15 @@
%endif
Name: python-numba%{?psuffix}
Version: 0.57.1
Version: 0.58.1
Release: 0
Summary: NumPy-aware optimizing compiler for Python using LLVM
License: BSD-2-Clause
URL: https://numba.pydata.org/
# SourceRepository: https://github.com/numba/numba
Source: https://files.pythonhosted.org/packages/source/n/numba/numba-%{version}.tar.gz
# PATCH-FIX-UPSTREAM numba-pr9105-np1.25.patch gh#numba/numba#9105
Patch0: numba-pr9105-np1.25.patch
# PATCH-FIX-OPENSUSE skip tests failing due to OBS specifics
Patch3: skip-failing-tests.patch
# PATCH-FIX-UPSTREAM https://github.com/numba/numba/commit/c59e46a177bf7134dec3a9a374ec75aec4576e31 Fix issue with incompatible multiprocessing context in test.
Patch4: multiprocessing-context.patch
BuildRequires: %{python_module devel >= 3.8}
BuildRequires: %{python_module numpy-devel >= %{min_numpy_ver} with %python-numpy-devel < %{max_numpy_ver}}
BuildRequires: %{python_module pip}
@ -68,7 +64,7 @@ BuildRequires: fdupes
BuildRequires: gcc-c++
BuildRequires: python-rpm-macros
BuildRequires: (tbb-devel >= 2021)
Requires: (python-llvmlite >= 0.40 with python-llvmlite < 0.41)
Requires: (python-llvmlite >= 0.41 with python-llvmlite < 0.42)
Requires: (python-numpy >= %{min_numpy_ver} with python-numpy < %{max_numpy_ver})
Requires(post): update-alternatives
Requires(postun):update-alternatives