manyi/venv/Lib/site-packages/scipy/special/tests/test_spherical_bessel.py

#
# Tests of spherical Bessel functions.
#
from __future__ import division, print_function, absolute_import

import numpy as np
from numpy.testing import (assert_almost_equal, assert_allclose,
                           assert_array_almost_equal)
import pytest
from numpy import sin, cos, sinh, cosh, exp, inf, nan, r_, pi

from scipy.special import spherical_jn, spherical_yn, spherical_in, spherical_kn
from scipy.integrate import quad

from scipy._lib._numpy_compat import suppress_warnings


class TestSphericalJn:
    def test_spherical_jn_exact(self):
        # https://dlmf.nist.gov/10.49.E3
        # Note: exact expression is numerically stable only for small
        # n or z >> n.
        x = np.array([0.12, 1.23, 12.34, 123.45, 1234.5])
        assert_allclose(spherical_jn(2, x),
                        (-1/x + 3/x**3)*sin(x) - 3/x**2*cos(x))

    def test_spherical_jn_recurrence_complex(self):
        # https://dlmf.nist.gov/10.51.E1
        n = np.array([1, 2, 3, 7, 12])
        x = 1.1 + 1.5j
        assert_allclose(spherical_jn(n - 1, x) + spherical_jn(n + 1, x),
                        (2*n + 1)/x*spherical_jn(n, x))

    def test_spherical_jn_recurrence_real(self):
        # https://dlmf.nist.gov/10.51.E1
        n = np.array([1, 2, 3, 7, 12])
        x = 0.12
        assert_allclose(spherical_jn(n - 1, x) + spherical_jn(n + 1,x),
                        (2*n + 1)/x*spherical_jn(n, x))

    def test_spherical_jn_inf_real(self):
        # https://dlmf.nist.gov/10.52.E3
        n = 6
        x = np.array([-inf, inf])
        assert_allclose(spherical_jn(n, x), np.array([0, 0]))

    def test_spherical_jn_inf_complex(self):
        # https://dlmf.nist.gov/10.52.E3
        n = 7
        x = np.array([-inf + 0j, inf + 0j, inf*(1+1j)])
        with suppress_warnings() as sup:
            sup.filter(RuntimeWarning, "invalid value encountered in multiply")
            assert_allclose(spherical_jn(n, x), np.array([0, 0, inf*(1+1j)]))

    def test_spherical_jn_large_arg_1(self):
        # https://github.com/scipy/scipy/issues/2165
        # Reference value computed using mpmath, via
        # besselj(n + mpf(1)/2, z)*sqrt(pi/(2*z))
        assert_allclose(spherical_jn(2, 3350.507), -0.00029846226538040747)

    def test_spherical_jn_large_arg_2(self):
        # https://github.com/scipy/scipy/issues/1641
        # Reference value computed using mpmath, via
        # besselj(n + mpf(1)/2, z)*sqrt(pi/(2*z))
        assert_allclose(spherical_jn(2, 10000), 3.0590002633029811e-05)

    def test_spherical_jn_at_zero(self):
        # https://dlmf.nist.gov/10.52.E1
        # But note that n = 0 is a special case: j0 = sin(x)/x -> 1
        n = np.array([0, 1, 2, 5, 10, 100])
        x = 0
        assert_allclose(spherical_jn(n, x), np.array([1, 0, 0, 0, 0, 0]))


class TestSphericalYn:
    def test_spherical_yn_exact(self):
        # https://dlmf.nist.gov/10.49.E5
        # Note: exact expression is numerically stable only for small
        # n or z >> n.
        x = np.array([0.12, 1.23, 12.34, 123.45, 1234.5])
        assert_allclose(spherical_yn(2, x),
                        (1/x - 3/x**3)*cos(x) - 3/x**2*sin(x))

    def test_spherical_yn_recurrence_real(self):
        # https://dlmf.nist.gov/10.51.E1
        n = np.array([1, 2, 3, 7, 12])
        x = 0.12
        assert_allclose(spherical_yn(n - 1, x) + spherical_yn(n + 1,x),
                        (2*n + 1)/x*spherical_yn(n, x))

    def test_spherical_yn_recurrence_complex(self):
        # https://dlmf.nist.gov/10.51.E1
        n = np.array([1, 2, 3, 7, 12])
        x = 1.1 + 1.5j
        assert_allclose(spherical_yn(n - 1, x) + spherical_yn(n + 1, x),
                        (2*n + 1)/x*spherical_yn(n, x))

    def test_spherical_yn_inf_real(self):
        # https://dlmf.nist.gov/10.52.E3
        n = 6
        x = np.array([-inf, inf])
        assert_allclose(spherical_yn(n, x), np.array([0, 0]))

    def test_spherical_yn_inf_complex(self):
        # https://dlmf.nist.gov/10.52.E3
        n = 7
        x = np.array([-inf + 0j, inf + 0j, inf*(1+1j)])
        with suppress_warnings() as sup:
            sup.filter(RuntimeWarning, "invalid value encountered in multiply")
            assert_allclose(spherical_yn(n, x), np.array([0, 0, inf*(1+1j)]))

    def test_spherical_yn_at_zero(self):
        # https://dlmf.nist.gov/10.52.E2
        n = np.array([0, 1, 2, 5, 10, 100])
        x = 0
        assert_allclose(spherical_yn(n, x), -inf*np.ones(shape=n.shape))

    def test_spherical_yn_at_zero_complex(self):
        # Consistently with numpy:
        # >>> -np.cos(0)/0
        # -inf
        # >>> -np.cos(0+0j)/(0+0j)
        # (-inf + nan*j)
        n = np.array([0, 1, 2, 5, 10, 100])
        x = 0 + 0j
        assert_allclose(spherical_yn(n, x), nan*np.ones(shape=n.shape))


class TestSphericalJnYnCrossProduct:
    def test_spherical_jn_yn_cross_product_1(self):
        # https://dlmf.nist.gov/10.50.E3
        n = np.array([1, 5, 8])
        x = np.array([0.1, 1, 10])
        left = (spherical_jn(n + 1, x) * spherical_yn(n, x) -
                spherical_jn(n, x) * spherical_yn(n + 1, x))
        right = 1/x**2
        assert_allclose(left, right)

    def test_spherical_jn_yn_cross_product_2(self):
        # https://dlmf.nist.gov/10.50.E3
        n = np.array([1, 5, 8])
        x = np.array([0.1, 1, 10])
        left = (spherical_jn(n + 2, x) * spherical_yn(n, x) -
                spherical_jn(n, x) * spherical_yn(n + 2, x))
        right = (2*n + 3)/x**3
        assert_allclose(left, right)


class TestSphericalIn:
    def test_spherical_in_exact(self):
        # https://dlmf.nist.gov/10.49.E9
        x = np.array([0.12, 1.23, 12.34, 123.45])
        assert_allclose(spherical_in(2, x),
                        (1/x + 3/x**3)*sinh(x) - 3/x**2*cosh(x))

    def test_spherical_in_recurrence_real(self):
        # https://dlmf.nist.gov/10.51.E4
        n = np.array([1, 2, 3, 7, 12])
        x = 0.12
        assert_allclose(spherical_in(n - 1, x) - spherical_in(n + 1,x),
                        (2*n + 1)/x*spherical_in(n, x))

    def test_spherical_in_recurrence_complex(self):
        # https://dlmf.nist.gov/10.51.E1
        n = np.array([1, 2, 3, 7, 12])
        x = 1.1 + 1.5j
        assert_allclose(spherical_in(n - 1, x) - spherical_in(n + 1,x),
                        (2*n + 1)/x*spherical_in(n, x))

    def test_spherical_in_inf_real(self):
        # https://dlmf.nist.gov/10.52.E3
        n = 5
        x = np.array([-inf, inf])
        assert_allclose(spherical_in(n, x), np.array([-inf, inf]))

    def test_spherical_in_inf_complex(self):
        # https://dlmf.nist.gov/10.52.E5
        # Ideally, i1n(n, 1j*inf) = 0 and i1n(n, (1+1j)*inf) = (1+1j)*inf, but
        # this appears impossible to achieve because C99 regards any complex
        # value with at least one infinite  part as a complex infinity, so
        # 1j*inf cannot be distinguished from (1+1j)*inf.  Therefore, nan is
        # the correct return value.
        n = 7
        x = np.array([-inf + 0j, inf + 0j, inf*(1+1j)])
        assert_allclose(spherical_in(n, x), np.array([-inf, inf, nan]))

    def test_spherical_in_at_zero(self):
        # https://dlmf.nist.gov/10.52.E1
        # But note that n = 0 is a special case: i0 = sinh(x)/x -> 1
        n = np.array([0, 1, 2, 5, 10, 100])
        x = 0
        assert_allclose(spherical_in(n, x), np.array([1, 0, 0, 0, 0, 0]))


class TestSphericalKn:
    def test_spherical_kn_exact(self):
        # https://dlmf.nist.gov/10.49.E13
        x = np.array([0.12, 1.23, 12.34, 123.45])
        assert_allclose(spherical_kn(2, x),
                        pi/2*exp(-x)*(1/x + 3/x**2 + 3/x**3))

    def test_spherical_kn_recurrence_real(self):
        # https://dlmf.nist.gov/10.51.E4
        n = np.array([1, 2, 3, 7, 12])
        x = 0.12
        assert_allclose((-1)**(n - 1)*spherical_kn(n - 1, x) - (-1)**(n + 1)*spherical_kn(n + 1,x),
                        (-1)**n*(2*n + 1)/x*spherical_kn(n, x))

    def test_spherical_kn_recurrence_complex(self):
        # https://dlmf.nist.gov/10.51.E4
        n = np.array([1, 2, 3, 7, 12])
        x = 1.1 + 1.5j
        assert_allclose((-1)**(n - 1)*spherical_kn(n - 1, x) - (-1)**(n + 1)*spherical_kn(n + 1,x),
                        (-1)**n*(2*n + 1)/x*spherical_kn(n, x))

    def test_spherical_kn_inf_real(self):
        # https://dlmf.nist.gov/10.52.E6
        n = 5
        x = np.array([-inf, inf])
        assert_allclose(spherical_kn(n, x), np.array([-inf, 0]))

    def test_spherical_kn_inf_complex(self):
        # https://dlmf.nist.gov/10.52.E6
        # The behavior at complex infinity depends on the sign of the real
        # part: if Re(z) >= 0, then the limit is 0; if Re(z) < 0, then it's
        # z*inf.  This distinction cannot be captured, so we return nan.
        n = 7
        x = np.array([-inf + 0j, inf + 0j, inf*(1+1j)])
        assert_allclose(spherical_kn(n, x), np.array([-inf, 0, nan]))

    def test_spherical_kn_at_zero(self):
        # https://dlmf.nist.gov/10.52.E2
        n = np.array([0, 1, 2, 5, 10, 100])
        x = 0
        assert_allclose(spherical_kn(n, x), inf*np.ones(shape=n.shape))

    def test_spherical_kn_at_zero_complex(self):
        # https://dlmf.nist.gov/10.52.E2
        n = np.array([0, 1, 2, 5, 10, 100])
        x = 0 + 0j
        assert_allclose(spherical_kn(n, x), nan*np.ones(shape=n.shape))


class SphericalDerivativesTestCase:
    def fundamental_theorem(self, n, a, b):
        integral, tolerance = quad(lambda z: self.df(n, z), a, b)
        assert_allclose(integral,
                        self.f(n, b) - self.f(n, a),
                        atol=tolerance)

    @pytest.mark.slow
    def test_fundamental_theorem_0(self):
        self.fundamental_theorem(0, 3.0, 15.0)

    @pytest.mark.slow
    def test_fundamental_theorem_7(self):
        self.fundamental_theorem(7, 0.5, 1.2)


class TestSphericalJnDerivatives(SphericalDerivativesTestCase):
    def f(self, n, z):
        return spherical_jn(n, z)

    def df(self, n, z):
        return spherical_jn(n, z, derivative=True)

    def test_spherical_jn_d_zero(self):
        n = np.array([0, 1, 2, 3, 7, 15])
        assert_allclose(spherical_jn(n, 0, derivative=True),
                        np.array([0, 1/3, 0, 0, 0, 0]))


class TestSphericalYnDerivatives(SphericalDerivativesTestCase):
    def f(self, n, z):
        return spherical_yn(n, z)

    def df(self, n, z):
        return spherical_yn(n, z, derivative=True)


class TestSphericalInDerivatives(SphericalDerivativesTestCase):
    def f(self, n, z):
        return spherical_in(n, z)

    def df(self, n, z):
        return spherical_in(n, z, derivative=True)

    def test_spherical_in_d_zero(self):
        n = np.array([1, 2, 3, 7, 15])
        assert_allclose(spherical_in(n, 0, derivative=True),
                        np.zeros(5))


class TestSphericalKnDerivatives(SphericalDerivativesTestCase):
    def f(self, n, z):
        return spherical_kn(n, z)

    def df(self, n, z):
        return spherical_kn(n, z, derivative=True)


class TestSphericalOld:
    # These are tests from the TestSpherical class of test_basic.py,
    # rewritten to use spherical_* instead of sph_* but otherwise unchanged.

    def test_sph_in(self):
        # This test reproduces test_basic.TestSpherical.test_sph_in.
        i1n = np.empty((2,2))
        x = 0.2

        i1n[0][0] = spherical_in(0, x)
        i1n[0][1] = spherical_in(1, x)
        i1n[1][0] = spherical_in(0, x, derivative=True)
        i1n[1][1] = spherical_in(1, x, derivative=True)

        inp0 = (i1n[0][1])
        inp1 = (i1n[0][0] - 2.0/0.2 * i1n[0][1])
        assert_array_almost_equal(i1n[0],np.array([1.0066800127054699381,
                                                0.066933714568029540839]),12)
        assert_array_almost_equal(i1n[1],[inp0,inp1],12)

    def test_sph_in_kn_order0(self):
        x = 1.
        sph_i0 = np.empty((2,))
        sph_i0[0] = spherical_in(0, x)
        sph_i0[1] = spherical_in(0, x, derivative=True)
        sph_i0_expected = np.array([np.sinh(x)/x,
                                    np.cosh(x)/x-np.sinh(x)/x**2])
        assert_array_almost_equal(r_[sph_i0], sph_i0_expected)

        sph_k0 = np.empty((2,))
        sph_k0[0] = spherical_kn(0, x)
        sph_k0[1] = spherical_kn(0, x, derivative=True)
        sph_k0_expected = np.array([0.5*pi*exp(-x)/x,
                                    -0.5*pi*exp(-x)*(1/x+1/x**2)])
        assert_array_almost_equal(r_[sph_k0], sph_k0_expected)

    def test_sph_jn(self):
        s1 = np.empty((2,3))
        x = 0.2

        s1[0][0] = spherical_jn(0, x)
        s1[0][1] = spherical_jn(1, x)
        s1[0][2] = spherical_jn(2, x)
        s1[1][0] = spherical_jn(0, x, derivative=True)
        s1[1][1] = spherical_jn(1, x, derivative=True)
        s1[1][2] = spherical_jn(2, x, derivative=True)

        s10 = -s1[0][1]
        s11 = s1[0][0]-2.0/0.2*s1[0][1]
        s12 = s1[0][1]-3.0/0.2*s1[0][2]
        assert_array_almost_equal(s1[0],[0.99334665397530607731,
                                      0.066400380670322230863,
                                      0.0026590560795273856680],12)
        assert_array_almost_equal(s1[1],[s10,s11,s12],12)

    def test_sph_kn(self):
        kn = np.empty((2,3))
        x = 0.2

        kn[0][0] = spherical_kn(0, x)
        kn[0][1] = spherical_kn(1, x)
        kn[0][2] = spherical_kn(2, x)
        kn[1][0] = spherical_kn(0, x, derivative=True)
        kn[1][1] = spherical_kn(1, x, derivative=True)
        kn[1][2] = spherical_kn(2, x, derivative=True)

        kn0 = -kn[0][1]
        kn1 = -kn[0][0]-2.0/0.2*kn[0][1]
        kn2 = -kn[0][1]-3.0/0.2*kn[0][2]
        assert_array_almost_equal(kn[0],[6.4302962978445670140,
                                         38.581777787067402086,
                                         585.15696310385559829],12)
        assert_array_almost_equal(kn[1],[kn0,kn1,kn2],9)

    def test_sph_yn(self):
        sy1 = spherical_yn(2, 0.2)
        sy2 = spherical_yn(0, 0.2)
        assert_almost_equal(sy1,-377.52483,5)  # previous values in the system
        assert_almost_equal(sy2,-4.9003329,5)
        sphpy = (spherical_yn(0, 0.2) - 2*spherical_yn(2, 0.2))/3
        sy3 = spherical_yn(1, 0.2, derivative=True)
        assert_almost_equal(sy3,sphpy,4)  # compare correct derivative val. (correct =-system val).