6bd75d792e10eee01d47efc86f5994f9a1b019d0,scipy/sparse/tests/test_base.py,_TestCommon,test_mean,#_TestCommon#,158

Before Change

        assert_array_equal(self.dat.mean(), self.datsp.mean())
        assert_array_equal(self.dat.mean(axis=None), self.datsp.mean(axis=None))
        assert_array_equal(self.dat.mean(axis=0), self.datsp.mean(axis=0))
        assert_array_equal(self.dat.mean(axis=1), self.datsp.mean(axis=1))

    def test_expm(self):
        M = array([[1, 0, 2], [0, 0, 3], [-4, 5, 6]], float)
        sM = self.spmatrix(M, shape=(3,3), dtype=float)

After Change

            assert_array_equal(dat.mean(axis=None), datsp.mean(axis=None))
            assert_almost_equal(dat.mean(axis=0), datsp.mean(axis=0))
            assert_almost_equal(dat.mean(axis=1), datsp.mean(axis=1))
        for dat, datsp in zip(self.dat_dtypes.values(),
                              self.datsp_dtypes.values()):
            yield check, dat, datsp

    def test_expm(self):
        M = array([[1, 0, 2], [0, 0, 3], [-4, 5, 6]], float)
        sM = self.spmatrix(M, shape=(3,3), dtype=float)
        Mexp = scipy.linalg.expm(M)

Instances