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)