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import os, tempfile
from Cython.Shadow import inline
from Cython.Build.Inline import safe_type
from Cython.TestUtils import CythonTest
try:
import numpy
has_numpy = True
except:
has_numpy = False
test_kwds = dict(force=True, quiet=True)
global_value = 100
class TestInline(CythonTest):
def setUp(self):
CythonTest.setUp(self)
self.test_kwds = dict(test_kwds)
if os.path.isdir('TEST_TMP'):
lib_dir = os.path.join('TEST_TMP','inline')
else:
lib_dir = tempfile.mkdtemp(prefix='cython_inline_')
self.test_kwds['lib_dir'] = lib_dir
def test_simple(self):
self.assertEqual(inline("return 1+2", **self.test_kwds), 3)
def test_types(self):
self.assertEqual(inline("""
cimport cython
return cython.typeof(a), cython.typeof(b)
""", a=1.0, b=[], **self.test_kwds), ('double', 'list object'))
def test_locals(self):
a = 1
b = 2
self.assertEqual(inline("return a+b", **self.test_kwds), 3)
def test_globals(self):
self.assertEqual(inline("return global_value + 1", **self.test_kwds), global_value + 1)
def test_no_return(self):
self.assertEqual(inline("""
a = 1
cdef double b = 2
cdef c = []
""", **self.test_kwds), dict(a=1, b=2.0, c=[]))
def test_def_node(self):
foo = inline("def foo(x): return x * x", **self.test_kwds)['foo']
self.assertEqual(foo(7), 49)
def test_class_ref(self):
class Type(object):
pass
tp = inline("Type")['Type']
self.assertEqual(tp, Type)
def test_pure(self):
import cython as cy
b = inline("""
b = cy.declare(float, a)
c = cy.declare(cy.pointer(cy.float), &b)
return b
""", a=3, **self.test_kwds)
self.assertEqual(type(b), float)
def test_compiler_directives(self):
self.assertEqual(
inline('return sum(x)',
x=[1, 2, 3],
cython_compiler_directives={'boundscheck': False}),
6
)
def test_lang_version(self):
# GH-3419. Caching for inline code didn't always respect compiler directives.
inline_divcode = "def f(int a, int b): return a/b"
self.assertEqual(
inline(inline_divcode, language_level=2)['f'](5,2),
2
)
self.assertEqual(
inline(inline_divcode, language_level=3)['f'](5,2),
2.5
)
if has_numpy:
def test_numpy(self):
import numpy
a = numpy.ndarray((10, 20))
a[0,0] = 10
self.assertEqual(safe_type(a), 'numpy.ndarray[numpy.float64_t, ndim=2]')
self.assertEqual(inline("return a[0,0]", a=a, **self.test_kwds), 10.0)
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