Repository: scipy/scipy
File: scipy/integrate/tests/test_quadrature.py (Python)

Code before:
    def test_scalar(self):
        n = 4
        expected = 1/(2*n)
        got, _ = fixed_quad(lambda x: x**(2*n - 1), 0, 1, n=n)
        # quadrature exact for this input
        assert_allclose(got, expected, rtol=1e-12)

    def test_vector(self):
        n = 4
        p = np.arange(1, 2*n)
        expected = 1/(p + 1)
        got, _ = fixed_quad(lambda x: x**p[:, None], 0, 1, n=n)
        assert_allclose(got, expected, rtol=1e-12)


@make_xp_test_case(romb)
class TestRomb:
    def test_romb(self, xp):
        xp_assert_equal(romb(xp.arange(17.0)), xp.asarray(128.0))

    def test_romb_gh_3731(self, xp):
        # Check that romb makes maximal use of data points
        x = xp.arange(2**4+1, dtype=xp.float64)
        y = xp.cos(0.2*x)
        val = romb(y)
        expected, err = quad(lambda x: np.cos(np.array(0.2*x)), xp.min(x), xp.max(x))
        xp_assert_close(val, xp.asarray(expected), rtol=1e-8, atol=0)


@make_xp_test_case(newton_cotes)
class TestNewtonCotes:
    def test_newton_cotes(self):
        """Test the first few degrees, for evenly spaced points."""
        n = 1
        wts, errcoff = newton_cotes(n, 1)
        assert_equal(wts, n*np.array([0.5, 0.5]))
        assert_almost_equal(errcoff, -n**3/12.0)

        n = 2
        wts, errcoff = newton_cotes(n, 1)
        assert_almost_equal(wts, n*np.array([1.0, 4.0, 1.0])/6.0)
        assert_almost_equal(errcoff, -n**5/2880.0)

        n = 3
        wts, errcoff = newton_cotes(n, 1)
        assert_almost_equal(wts, n*np.array([1.0, 3.0, 3.0, 1.0])/8.0)
        assert_almost_equal(errcoff, -n**5/6480.0)

        n = 4
        wts, errcoff = newton_cotes(n, 1)
        assert_almost_equal(wts, n*np.array([7.0, 32.0, 12.0, 32.0, 7.0])/90.0)

Review comment (suggestion):
```suggestion
        expected, err = quad(lambda x: np.cos(np.array(0.2*x)), np.min(x), np.max(x))
```

Code after:
    def test_scalar(self):
        n = 4
        expected = 1/(2*n)
        got, _ = fixed_quad(lambda x: x**(2*n - 1), 0, 1, n=n)
        # quadrature exact for this input
        assert_allclose(got, expected, rtol=1e-12)

    def test_vector(self):
        n = 4
        p = np.arange(1, 2*n)
        expected = 1/(p + 1)
        got, _ = fixed_quad(lambda x: x**p[:, None], 0, 1, n=n)
        assert_allclose(got, expected, rtol=1e-12)


@make_xp_test_case(romb)
class TestRomb:
    def test_romb(self, xp):
        xp_assert_equal(romb(xp.arange(17.0)), xp.asarray(128.0, dtype=xp.float64))

    def test_romb_gh_3731(self, xp):
        # Check that romb makes maximal use of data points
        x = np.arange(2**4+1)
        y = np.cos(0.2*x)
        val = romb(xp.asarray(y))
        expected, _ = quad(lambda x: np.cos(np.array(0.2*x)), np.min(x), np.max(x))
        xp_assert_close(val, xp.asarray(expected, dtype=xp.float64), rtol=1e-8, atol=0)


@make_xp_test_case(newton_cotes)
class TestNewtonCotes:
    def test_newton_cotes(self):
        """Test the first few degrees, for evenly spaced points."""
        n = 1
        wts, errcoff = newton_cotes(n, 1)
        assert_equal(wts, n*np.array([0.5, 0.5]))
        assert_almost_equal(errcoff, -n**3/12.0)

        n = 2
        wts, errcoff = newton_cotes(n, 1)
        assert_almost_equal(wts, n*np.array([1.0, 4.0, 1.0])/6.0)
        assert_almost_equal(errcoff, -n**5/2880.0)

        n = 3
        wts, errcoff = newton_cotes(n, 1)
        assert_almost_equal(wts, n*np.array([1.0, 3.0, 3.0, 1.0])/8.0)
        assert_almost_equal(errcoff, -n**5/6480.0)

        n = 4
        wts, errcoff = newton_cotes(n, 1)
        assert_almost_equal(wts, n*np.array([7.0, 32.0, 12.0, 32.0, 7.0])/90.0)