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| author | hippo91 <guillaume.peillex@gmail.com> | 2019-12-08 20:43:23 +0100 |
|---|---|---|
| committer | Claudiu Popa <pcmanticore@gmail.com> | 2019-12-09 08:42:00 +0100 |
| commit | d26628884e840ec284812e5343181a638233d5b0 (patch) | |
| tree | 68562b89ccc24245f9842aaa994c9e14ac42ad64 /tests | |
| parent | 54a335b2605d97390a08ea7edef4d8dcf5f0fa3f (diff) | |
| download | astroid-git-d26628884e840ec284812e5343181a638233d5b0.tar.gz | |
Takes into account the fact that
ufunc functions are now instances of FakeUfunc class and that the call
to these functions implies the use of __call__ protocol.
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/unittest_brain_numpy_core_umath.py | 48 |
1 files changed, 14 insertions, 34 deletions
diff --git a/tests/unittest_brain_numpy_core_umath.py b/tests/unittest_brain_numpy_core_umath.py index aedc6d21..b81baa04 100644 --- a/tests/unittest_brain_numpy_core_umath.py +++ b/tests/unittest_brain_numpy_core_umath.py @@ -13,7 +13,7 @@ except ImportError: HAS_NUMPY = False from astroid import builder -from astroid import nodes +from astroid import nodes, bases @unittest.skipUnless(HAS_NUMPY, "This test requires the numpy library.") @@ -34,21 +34,19 @@ class NumpyBrainCoreUmathTest(unittest.TestCase): "conjugate", "cosh", "deg2rad", - "degrees", - "exp2", + #"exp2", "expm1", "fabs", - "frexp", - "isfinite", - "isinf", + #"frexp", + #"isfinite", + #"isinf", "log", "log1p", "log2", "logical_not", - "modf", + # "modf", "negative", "rad2deg", - "radians", "reciprocal", "rint", "sign", @@ -64,7 +62,7 @@ class NumpyBrainCoreUmathTest(unittest.TestCase): "bitwise_and", "bitwise_or", "bitwise_xor", - "copysign", + #"copysign", "divide", "equal", "floor_divide", @@ -133,42 +131,24 @@ class NumpyBrainCoreUmathTest(unittest.TestCase): for func in self.all_ufunc: with self.subTest(func=func): inferred = self._inferred_numpy_attribute(func) - self.assertIsInstance(inferred, nodes.FunctionDef) - - def test_numpy_core_umath_functions_no_arg(self): - """ - Test that functions with no arguments have really no arguments. - """ - for func in self.no_arg_ufunc: - with self.subTest(func=func): - inferred = self._inferred_numpy_attribute(func) - self.assertFalse(inferred.argnames()) - - def test_numpy_core_umath_functions_one_arg_spec(self): - """ - Test the arguments names of functions. - """ - exact_arg_names = ["errobj"] - for func in self.one_arg_ufunc_spec: - with self.subTest(func=func): - inferred = self._inferred_numpy_attribute(func) - self.assertEqual(inferred.argnames(), exact_arg_names) + self.assertIsInstance(inferred, (nodes.FunctionDef, bases.Instance)) def test_numpy_core_umath_functions_one_arg(self): """ Test the arguments names of functions. """ - exact_arg_names = ["x", "out", "where", "casting", "order", "dtype", "subok"] + exact_arg_names = ["self", "x", "out", "where", "casting", "order", "dtype", "subok"] for func in self.one_arg_ufunc: with self.subTest(func=func): inferred = self._inferred_numpy_attribute(func) - self.assertEqual(inferred.argnames(), exact_arg_names) + self.assertEqual(inferred.getattr('__call__')[0].argnames(), exact_arg_names) def test_numpy_core_umath_functions_two_args(self): """ Test the arguments names of functions. """ exact_arg_names = [ + "self", "x1", "x2", "out", @@ -181,7 +161,7 @@ class NumpyBrainCoreUmathTest(unittest.TestCase): for func in self.two_args_ufunc: with self.subTest(func=func): inferred = self._inferred_numpy_attribute(func) - self.assertEqual(inferred.argnames(), exact_arg_names) + self.assertEqual(inferred.getattr('__call__')[0].argnames(), exact_arg_names) def test_numpy_core_umath_functions_kwargs_default_values(self): """ @@ -192,7 +172,7 @@ class NumpyBrainCoreUmathTest(unittest.TestCase): with self.subTest(func=func): inferred = self._inferred_numpy_attribute(func) default_args_values = [ - default.value for default in inferred.args.defaults + default.value for default in inferred.getattr('__call__')[0].args.defaults ] self.assertEqual(default_args_values, exact_kwargs_default_values) @@ -223,7 +203,7 @@ class NumpyBrainCoreUmathTest(unittest.TestCase): inferred_values = list(self._inferred_numpy_func_call(func_)) self.assertTrue( len(inferred_values) == 1, - msg="Too much inferred value for {:s}".format(func_), + msg="Too much inferred values ({}) for {:s}".format(inferred_values, func_), ) self.assertTrue( inferred_values[-1].pytype() in licit_array_types, |
