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