Exemple #1
0
 def test_low_rank(self, ones_ss):
     unitary, right = la.qr(ones_ss)
     self.assertArrayAllClose(unitary @ right, ones_ss)
     lower, upper, _ = la.lu(ones_ss)
     self.assertArrayAllClose(lower @ upper, ones_ss)
     with self.assertRaisesRegex(*utn.invalid_err):
         la.solve(ones_ss, ones_ss[..., :2])
    def test_good_p_invarray_combos_in_lstsq(self, arrays):
        m_ss, m_bs, m_sb, mini = view_as(*arrays)
        # hy.assume(hn.tall(m_bs))
        hy.assume(hn.all_well_behaved(m_ss, mini, m_bs, m_sb))

        self.assertArrayAllClose(la.lstsq(mini.inv, m_sb),
                                 la.matmul(mini, m_sb))
        self.assertArrayAllClose(la.rlstsq(m_bs, mini.inv),
                                 la.matmul(m_bs, mini))
        cond = np.linalg.cond(m_bs).max()
        self.assertArrayAllClose(la.lstsq(mini.inv, m_bs.pinv),
                                 la.rlstsq(mini, m_bs),
                                 cond=cond)
        cond = np.linalg.cond(mini).max()
        self.assertArrayAllClose(la.rlstsq(mini.inv, m_sb.pinv),
                                 la.solve(mini, m_sb),
                                 cond=cond)
        cond = np.linalg.cond(m_ss).max()
        self.assertArrayAllClose(la.lstsq(mini.inv, m_ss.inv),
                                 la.rsolve(mini, m_ss),
                                 cond=cond)
        cond = np.linalg.cond(mini).max()
        self.assertArrayAllClose(la.rlstsq(mini.inv, m_ss.inv),
                                 la.solve(mini, m_ss),
                                 cond=cond)
        cond = np.linalg.cond(m_ss).max()
        self.assertArrayAllClose(la.lstsq(m_bs.pinv, m_ss.inv),
                                 la.rsolve(m_bs, m_ss),
                                 cond=cond)
        cond = np.linalg.cond(m_sb).max()
        self.assertArrayAllClose(la.rlstsq(m_sb.pinv, m_ss.inv),
                                 la.lstsq(m_sb, m_ss),
                                 cond=cond)
Exemple #3
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    def test_functions_solve(self, arrays):
        m_ss, m_sb, m_bs = arrays[:-1]
        v_s = hn.core_only(arrays[-1], dims=1)
        smol, wide, tall = [arr.shape for arr in arrays[:-1]]
        hy.assume(hn.all_well_behaved(m_ss))

        # with self.subTest('solve'):
        expect = gf.return_shape('(a,b),(b,c)->(a,c)', smol, wide)
        self.assertArrayShape(la.solve(m_ss, m_sb), expect)
        self.assertArrayShape(la.solve(m_ss, v_s), smol[:-1])
        # with self.subTest('rsolve'):
        expect = gf.return_shape('(a,b),(b,c)->(a,c)', tall, smol)
        self.assertArrayShape(la.rsolve(m_bs, m_ss), expect)
        self.assertArrayShape(la.rsolve(v_s, m_ss), smol[:-1])
    def test_return_array_types(self, arrays):
        m_sb_n, m_bs_n = arrays[:2]
        m_sb, m_bs, m_ss, m_bb = view_as(*arrays)
        m_bs_m, m_ss_m, m_bb_m = hn.core_only(m_bs, m_ss, m_bb)
        hy.assume(hn.all_well_behaved(m_ss, m_bb))
        hy.assume(m_sb.ndim != m_ss.ndim - 1)  # np..solve's broadcasting issue

        self.assertIsInstance(m_sb @ m_bs, la.lnarray)
        self.assertIsInstance(m_sb_n @ m_bs, la.lnarray)
        expect = utn.array_return_shape('(a,b),(b,c)->(a,c)', m_bs, m_sb)
        tw_o = np.empty(expect, m_bs.dtype)
        tw_r = la.matmul(m_bs, m_sb_n, tw_o)
        self.assertIsInstance(tw_r, np.ndarray)
        self.assertIsInstance(tw_o, np.ndarray)
        self.assertIsInstance(np.matmul(m_bs, m_sb_n), np.ndarray)
        self.assertIsInstance(la.solve(m_ss, m_sb_n), la.lnarray)
        self.assertIsInstance(nl.solve(m_ss, m_sb_n), np.ndarray)
        self.assertIsInstance(la.lstsq(m_bs, m_bb), la.lnarray)
        self.assertIsInstance(
            nl.lstsq(m_bs_m, m_bb_m, rcond=None)[0], np.ndarray)
        self.assertIsInstance(la.lu(m_ss)[0], la.lnarray)
        self.assertIsInstance(la.lu(m_bs_n)[0], np.ndarray)
        self.assertIsInstance(la.qr(m_ss)[0], la.lnarray)
        self.assertIsInstance(la.qr(m_bs_n)[0], np.ndarray)
        self.assertIsInstance(la.lq(m_ss)[0], la.lnarray)
        self.assertIsInstance(la.lq(m_bs_n)[0], np.ndarray)
        self.assertIsInstance(la.lqr(m_ss)[0], la.lnarray)
        self.assertIsInstance(la.lqr(m_bs_n)[0], np.ndarray)
        self.assertIsInstance(nl.qr(m_ss_m)[0], np.ndarray)
Exemple #5
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    def test_functions_solve(self, arrays):
        m_ss, m_sb, m_bs = arrays
        hy.assume(hn.all_well_behaved(m_ss))
        cond = np.linalg.cond(m_ss).max()

        # with self.subTest('solve'):
        self.assertArrayAllClose(la.solve(m_ss, m_sb),
                                 gf.solve(m_ss, m_sb),
                                 cond=cond)
        slv_sh = utn.array_return_shape('(a,a),(a,b)->(a,b)', m_ss, m_sb)
        slv_out = np.empty(slv_sh, m_ss.dtype)
        slv_r = la.solve(m_ss, m_sb, out=slv_out)
        self.assertArrayAllClose(slv_out, slv_r)
        # with self.subTest('rsolve'):
        self.assertArrayAllClose(la.rsolve(m_bs, m_ss),
                                 gf.rsolve(m_bs, m_ss),
                                 cond=cond)
    def test_bad_p_invarray_combos_in_functions(self, arrays):
        m_ss, m_bs, m_sb, mini = view_as(*arrays)
        # hy.assume(hn.tall(m_bs))

        with self.assertRaises(TypeError):
            la.solve(m_sb.pinv, mini)
        with self.assertRaises(TypeError):
            la.rsolve(mini, m_bs.pinv)
        with self.assertRaises(TypeError):
            la.solve(mini, m_bs.pinv)
        with self.assertRaises(TypeError):
            la.rsolve(m_sb.pinv, mini)
        with self.assertRaises(TypeError):
            la.solve(m_sb.pinv, m_bs.pinv)
        with self.assertRaises(TypeError):
            la.rsolve(m_sb.pinv, m_bs.pinv)
        with self.assertRaises(TypeError):
            la.matmul(m_ss.inv, m_bs.pinv)
        with self.assertRaises(TypeError):
            la.matmul(m_sb.pinv, mini.inv)
        with self.assertRaises(TypeError):
            la.solve(m_bs.pinv, mini.inv)
        with self.assertRaises(TypeError):
            la.rsolve(mini.inv, m_sb.pinv)