cd8ee58da1f0d8ab1fdb6abd8b7a19759878604a,regtests/sinematrix.py,SineMatrixTests,test_parallel_sparse,#SineMatrixTests#,111

Before Change

        // Non-flattened output
        desc = SineMatrix(n_atoms_max=5, permutation="none", flatten=False, sparse=True)
        output = [x.toarray() for x in desc.create(
            system=samples,
            n_jobs=2,
        )]
        assumed = np.empty((2, 5, 5))
        assumed[0] = desc.create(samples[0]).toarray()
        assumed[1] = desc.create(samples[1]).toarray()
        self.assertTrue(np.allclose(np.array(output), assumed))

After Change

        // Non-flattened output
        desc = SineMatrix(n_atoms_max=5, permutation="none", flatten=False, sparse=True)
        output = desc.create(
            system=samples,
            n_jobs=2,
        ).todense()
        assumed = np.empty((2, 5, 5))
        assumed[0] = desc.create(samples[0]).todense()
        assumed[1] = desc.create(samples[1]).todense()
        self.assertTrue(np.allclose(np.array(output), assumed))

Instances