def test_is_this_a_none_objmode(self):
pyfunc = is_this_a_none
flags = Flags()
flags.force_pyobject = True
cres = compile_isolated(pyfunc, [types.intp], flags=flags)
cfunc = cres.entry_point
self.assertTrue(cres.objectmode)
for v in [-1, 0, 1, 2]:
self.assertPreciseEqual(pyfunc(v), cfunc(v))
from numba.core.untyped_passes import PreserveIR
import unittest
from numba.core.runtime import rtsys
from numba.np import numpy_support
from numba.pycc.platform import _external_compiler_ok
try:
import scipy
except ImportError:
scipy = None
enable_pyobj_flags = Flags()
enable_pyobj_flags.enable_pyobject = True
force_pyobj_flags = Flags()
force_pyobj_flags.force_pyobject = True
no_pyobj_flags = Flags()
nrt_flags = Flags()
nrt_flags.nrt = True
tag = testing.make_tag_decorator(['important', 'long_running'])
_32bit = sys.maxsize <= 2**32
is_parfors_unsupported = _32bit
skip_parfors_unsupported = unittest.skipIf(
is_parfors_unsupported,
'parfors not supported',
)
skip_py38_or_later = unittest.skipIf(utils.PYVERSION >= (3, 8),
def complex_constant(n):
tmp = n + 4
return tmp + 3j
def long_constant(n):
return n + 100000000000000000000000000000000000000000000000
def delitem_usecase(x):
del x[:]
forceobj = Flags()
forceobj.force_pyobject = True
def loop_nest_3(x, y):
n = 0
for i in range(x):
for j in range(y):
for k in range(x + y):
n += i * j
return n
def array_of_object(x):
return x
