def test_uppergamma():
    from sympy import meijerg, exp_polar, I, expint
    assert uppergamma(4, 0) == 6
    assert uppergamma(x, y).diff(y) == -y**(x-1)*exp(-y)
    assert td(uppergamma(randcplx(), y), y)
    assert uppergamma(x, y).diff(x) == \
           uppergamma(x, y)*log(y) + meijerg([], [1, 1], [0, 0, x], [], y)
    assert td(uppergamma(x, randcplx()), x)

    assert uppergamma(S.Half, x) == sqrt(pi)*(1 - erf(sqrt(x)))
    assert not uppergamma(S.Half - 3, x).has(uppergamma)
    assert not uppergamma(S.Half + 3, x).has(uppergamma)
    assert uppergamma(S.Half, x, evaluate=False).has(uppergamma)
    assert tn(uppergamma(S.Half + 3, x, evaluate=False),
              uppergamma(S.Half + 3, x), x)
    assert tn(uppergamma(S.Half - 3, x, evaluate=False),
              uppergamma(S.Half - 3, x), x)

    assert uppergamma(x, y).rewrite(lowergamma) == gamma(x) - lowergamma(x, y)

    assert tn_branch(-3, uppergamma)
    assert tn_branch(-4, uppergamma)
    assert tn_branch(S(1)/3, uppergamma)
    assert tn_branch(pi, uppergamma)
    assert uppergamma(3, exp_polar(4*pi*I)*x) == uppergamma(3, x)
    assert uppergamma(y, exp_polar(5*pi*I)*x) == \
           exp(4*I*pi*y)*uppergamma(y, x*exp_polar(pi*I)) + gamma(y)*(1-exp(4*pi*I*y))
    assert uppergamma(-2, exp_polar(5*pi*I)*x) == \
           uppergamma(-2, x*exp_polar(I*pi)) - 2*pi*I

    assert uppergamma(-2, x) == expint(3, x)/x**2
    assert uppergamma(x, y).rewrite(expint) == y**x*expint(-x + 1, y)

def test_hyper():
    raises(TypeError, lambda: hyper(1, 2, z))

    assert hyper((1, 2), (1,), z) == hyper(Tuple(1, 2), Tuple(1), z)

    h = hyper((1, 2), (3, 4, 5), z)
    assert h.ap == Tuple(1, 2)
    assert h.bq == Tuple(3, 4, 5)
    assert h.argument == z
    assert h.is_commutative is True

    # just a few checks to make sure that all arguments go where they should
    assert tn(hyper(Tuple(), Tuple(), z), exp(z), z)
    assert tn(z*hyper((1, 1), Tuple(2), -z), log(1 + z), z)

    # differentiation
    h = hyper(
        (randcplx(), randcplx(), randcplx()), (randcplx(), randcplx()), z)
    assert td(h, z)

    a1, a2, b1, b2, b3 = symbols('a1:3, b1:4')
    assert hyper((a1, a2), (b1, b2, b3), z).diff(z) == \
        a1*a2/(b1*b2*b3) * hyper((a1 + 1, a2 + 1), (b1 + 1, b2 + 1, b3 + 1), z)

    # differentiation wrt parameters is not supported
    assert hyper([z], [], z).diff(z) == Derivative(hyper([z], [], z), z)

    # hyper is unbranched wrt parameters
    from sympy import polar_lift
    assert hyper([polar_lift(z)], [polar_lift(k)], polar_lift(x)) == \
        hyper([z], [k], polar_lift(x))

def test_lowergamma():
    from sympy import meijerg, exp_polar, I, expint

    assert lowergamma(x, y).diff(y) == y ** (x - 1) * exp(-y)
    assert td(lowergamma(randcplx(), y), y)
    assert td(lowergamma(x, randcplx()), x)
    assert lowergamma(x, y).diff(x) == gamma(x) * polygamma(0, x) - uppergamma(x, y) * log(y) - meijerg(
        [], [1, 1], [0, 0, x], [], y
    )

    assert lowergamma(S.Half, x) == sqrt(pi) * erf(sqrt(x))
    assert not lowergamma(S.Half - 3, x).has(lowergamma)
    assert not lowergamma(S.Half + 3, x).has(lowergamma)
    assert lowergamma(S.Half, x, evaluate=False).has(lowergamma)
    assert tn(lowergamma(S.Half + 3, x, evaluate=False), lowergamma(S.Half + 3, x), x)
    assert tn(lowergamma(S.Half - 3, x, evaluate=False), lowergamma(S.Half - 3, x), x)

    assert tn_branch(-3, lowergamma)
    assert tn_branch(-4, lowergamma)
    assert tn_branch(S(1) / 3, lowergamma)
    assert tn_branch(pi, lowergamma)
    assert lowergamma(3, exp_polar(4 * pi * I) * x) == lowergamma(3, x)
    assert lowergamma(y, exp_polar(5 * pi * I) * x) == exp(4 * I * pi * y) * lowergamma(y, x * exp_polar(pi * I))
    assert lowergamma(-2, exp_polar(5 * pi * I) * x) == lowergamma(-2, x * exp_polar(I * pi)) + 2 * pi * I

    assert conjugate(lowergamma(x, y)) == lowergamma(conjugate(x), conjugate(y))
    assert conjugate(lowergamma(x, 0)) == conjugate(lowergamma(x, 0))
    assert conjugate(lowergamma(x, -oo)) == conjugate(lowergamma(x, -oo))

    assert lowergamma(x, y).rewrite(expint) == -y ** x * expint(-x + 1, y) + gamma(x)
    k = Symbol("k", integer=True)
    assert lowergamma(k, y).rewrite(expint) == -y ** k * expint(-k + 1, y) + gamma(k)
    k = Symbol("k", integer=True, positive=False)
    assert lowergamma(k, y).rewrite(expint) == lowergamma(k, y)
    assert lowergamma(x, y).rewrite(uppergamma) == gamma(x) - uppergamma(x, y)

def test_hyper():
    raises(TypeError, 'hyper(1, 2, z)')

    assert hyper((1, 2),(1,), z) == hyper(Tuple(1, 2), Tuple(1), z)

    h = hyper((1, 2), (3, 4, 5), z)
    assert h.ap == Tuple(1, 2)
    assert h.bq == Tuple(3, 4, 5)
    assert h.argument == z
    assert h.is_commutative is True

    # just a few checks to make sure that all arguments go where they should
    assert tn(hyper(Tuple(), Tuple(), z), exp(z), z)
    assert tn(z*hyper((1, 1), Tuple(2), -z), log(1 + z), z)

    # differentiation
    h = hyper((randcplx(), randcplx(), randcplx()), (randcplx(), randcplx()), z)
    assert td(h, z)

    a1, a2, b1, b2, b3 = symbols('a1:3, b1:4')
    assert hyper((a1, a2), (b1, b2, b3), z).diff(z) == \
             a1*a2/(b1*b2*b3) * hyper((a1+1, a2+1), (b1+1, b2+1, b3+1), z)

    # differentiation wrt parameters is not supported
    raises(NotImplementedError, 'hyper((z,), (), z).diff(z)')

 def t(fac, arg):
     g = meijerg([a], [b], [c], [d], arg)*fac
     subs = {a: randcplx()/10, b: randcplx()/10 + I,
             c: randcplx(), d: randcplx()}
     integral = meijerint_indefinite(g, x)
     assert integral is not None
     assert verify_numerically(g.subs(subs), integral.diff(x).subs(subs), x)

def test_meijer():
    raises(TypeError, lambda: meijerg(1, z))
    raises(TypeError, lambda: meijerg(((1,), (2,)), (3,), (4,), z))

    assert meijerg(((1, 2), (3,)), ((4,), (5,)), z) == \
        meijerg(Tuple(1, 2), Tuple(3), Tuple(4), Tuple(5), z)

    g = meijerg((1, 2), (3, 4, 5), (6, 7, 8, 9), (10, 11, 12, 13, 14), z)
    assert g.an == Tuple(1, 2)
    assert g.ap == Tuple(1, 2, 3, 4, 5)
    assert g.aother == Tuple(3, 4, 5)
    assert g.bm == Tuple(6, 7, 8, 9)
    assert g.bq == Tuple(6, 7, 8, 9, 10, 11, 12, 13, 14)
    assert g.bother == Tuple(10, 11, 12, 13, 14)
    assert g.argument == z
    assert g.nu == 75
    assert g.delta == -1
    assert g.is_commutative is True

    assert meijerg([1, 2], [3], [4], [5], z).delta == S(1)/2

    # just a few checks to make sure that all arguments go where they should
    assert tn(meijerg(Tuple(), Tuple(), Tuple(0), Tuple(), -z), exp(z), z)
    assert tn(sqrt(pi)*meijerg(Tuple(), Tuple(),
                               Tuple(0), Tuple(S(1)/2), z**2/4), cos(z), z)
    assert tn(meijerg(Tuple(1, 1), Tuple(), Tuple(1), Tuple(0), z),
              log(1 + z), z)

    # differentiation
    g = meijerg((randcplx(),), (randcplx() + 2*I,), Tuple(),
                (randcplx(), randcplx()), z)
    assert td(g, z)

    g = meijerg(Tuple(), (randcplx(),), Tuple(),
                (randcplx(), randcplx()), z)
    assert td(g, z)

    g = meijerg(Tuple(), Tuple(), Tuple(randcplx()),
                Tuple(randcplx(), randcplx()), z)
    assert td(g, z)

    a1, a2, b1, b2, c1, c2, d1, d2 = symbols('a1:3, b1:3, c1:3, d1:3')
    assert meijerg((a1, a2), (b1, b2), (c1, c2), (d1, d2), z).diff(z) == \
        (meijerg((a1 - 1, a2), (b1, b2), (c1, c2), (d1, d2), z)
         + (a1 - 1)*meijerg((a1, a2), (b1, b2), (c1, c2), (d1, d2), z))/z

    assert meijerg([z, z], [], [], [], z).diff(z) == \
        Derivative(meijerg([z, z], [], [], [], z), z)

    # meijerg is unbranched wrt parameters
    from sympy import polar_lift as pl
    assert meijerg([pl(a1)], [pl(a2)], [pl(b1)], [pl(b2)], pl(z)) == \
        meijerg([a1], [a2], [b1], [b2], pl(z))

    # integrand
    from sympy.abc import a, b, c, d, s
    assert meijerg([a], [b], [c], [d], z).integrand(s) == \
        z**s*gamma(c - s)*gamma(-a + s + 1)/(gamma(b - s)*gamma(-d + s + 1))

def test_inflate():
    subs = {a: randcplx()/10, b: randcplx()/10 + I, c: randcplx(),
            d: randcplx(), y:randcplx()/10}
    def t(a, b, arg, n):
        from sympy import Mul
        m1 = meijerg(a, b, arg)
        m2 = Mul(*_inflate_g(m1, n))
        # NOTE: (the random number)**9 must still be on the principal sheet.
        # Thus make b&d small to create random numbers of small imaginary part.
        return test_numerically(m1.subs(subs), m2.subs(subs), x, b=0.1, d=-0.1)
    assert t([[a], [b]], [[c], [d]], x, 3)
    assert t([[a, y], [b]], [[c], [d]], x, 3)
    assert t([[a], [b]], [[c, y], [d]], 2*x**3, 3)

def test_derivatives():
    from sympy import Derivative
    assert zeta(x, a).diff(x) == Derivative(zeta(x, a), x)
    assert zeta(x, a).diff(a) == -x*zeta(x + 1, a)
    assert lerchphi(z, s, a).diff(z) == (lerchphi(z, s-1, a) - a*lerchphi(z, s, a))/z
    assert lerchphi(z, s, a).diff(a) == -s*lerchphi(z, s+1, a)
    assert polylog(s, z).diff(z) == polylog(s - 1, z)/z

    b = randcplx()
    c = randcplx()
    assert td(zeta(b, x), x)
    assert td(polylog(b, z), z)
    assert td(lerchphi(c, b, x), x)
    assert td(lerchphi(x, b, c), x)

def test_expand_func():
    # evaluation at 1 of Gauss' hypergeometric function:
    from sympy.abc import a, b, c
    from sympy import gamma, expand_func

    a1, b1, c1 = randcplx(), randcplx(), randcplx() + 5
    assert expand_func(hyper([a, b], [c], 1)) == gamma(c) * gamma(-a - b + c) / (gamma(-a + c) * gamma(-b + c))
    assert abs(expand_func(hyper([a1, b1], [c1], 1)).n() - hyper([a1, b1], [c1], 1).n()) < 1e-10

    # hyperexpand wrapper for hyper:
    assert expand_func(hyper([], [], z)) == exp(z)
    assert expand_func(hyper([1, 2, 3], [], z)) == hyper([1, 2, 3], [], z)
    assert expand_func(meijerg([[1, 1], []], [[1], [0]], z)) == log(z + 1)
    assert expand_func(meijerg([[1, 1], []], [[], []], z)) == meijerg([[1, 1], []], [[], []], z)

def test_uppergamma():
    from sympy import meijerg

    assert uppergamma(4, 0) == 6
    assert uppergamma(x, y).diff(y) == -y ** (x - 1) * exp(-y)
    assert td(uppergamma(randcplx(), y), y)
    assert uppergamma(x, y).diff(x) == uppergamma(x, y) * log(y) + meijerg([], [1, 1], [0, 0, x], [], y)
    assert td(uppergamma(x, randcplx()), x)

    assert uppergamma(S.Half, x) == sqrt(pi) * (1 - erf(sqrt(x)))
    assert not uppergamma(S.Half - 3, x).has(uppergamma)
    assert not uppergamma(S.Half + 3, x).has(uppergamma)
    assert uppergamma(S.Half, x, evaluate=False).has(uppergamma)
    assert tn(uppergamma(S.Half + 3, x, evaluate=False), uppergamma(S.Half + 3, x), x)
    assert tn(uppergamma(S.Half - 3, x, evaluate=False), uppergamma(S.Half - 3, x), x)

def test_meijerg_eval():
    from sympy import besseli, exp_polar
    from sympy.abc import l
    a = randcplx()
    arg = x*exp_polar(k*pi*I)
    expr1 = pi*meijerg([[], [(a + 1)/2]], [[a/2], [-a/2, (a + 1)/2]], arg**2/4)
    expr2 = besseli(a, arg)

    # Test that the two expressions agree for all arguments.
    for x_ in [0.5, 1.5]:
        for k_ in [0.0, 0.1, 0.3, 0.5, 0.8, 1, 5.751, 15.3]:
            assert abs((expr1 - expr2).n(subs={x: x_, k: k_})) < 1e-10
            assert abs((expr1 - expr2).n(subs={x: x_, k: -k_})) < 1e-10

    # Test continuity independently
    eps = 1e-13
    expr2 = expr1.subs(k, l)
    for x_ in [0.5, 1.5]:
        for k_ in [0.5, S(1)/3, 0.25, 0.75, S(2)/3, 1.0, 1.5]:
            assert abs((expr1 - expr2).n(
                       subs={x: x_, k: k_ + eps, l: k_ - eps})) < 1e-10
            assert abs((expr1 - expr2).n(
                       subs={x: x_, k: -k_ + eps, l: -k_ - eps})) < 1e-10

    expr = (meijerg(((0.5,), ()), ((0.5, 0, 0.5), ()), exp_polar(-I*pi)/4)
            + meijerg(((0.5,), ()), ((0.5, 0, 0.5), ()), exp_polar(I*pi)/4)) \
        /(2*sqrt(pi))
    assert (expr - pi/exp(1)).n(chop=True) == 0

def test_lowergamma():
    from sympy import meijerg, exp_polar, I
    assert lowergamma(x, y).diff(y) == y**(x-1)*exp(-y)
    assert td(lowergamma(randcplx(), y), y)
    assert lowergamma(x, y).diff(x) == \
           gamma(x)*polygamma(0, x) - uppergamma(x, y)*log(y) \
           + meijerg([], [1, 1], [0, 0, x], [], y)

    assert lowergamma(S.Half, x) == sqrt(pi)*erf(sqrt(x))
    assert not lowergamma(S.Half - 3, x).has(lowergamma)
    assert not lowergamma(S.Half + 3, x).has(lowergamma)
    assert lowergamma(S.Half, x, evaluate=False).has(lowergamma)
    assert tn(lowergamma(S.Half + 3, x, evaluate=False),
              lowergamma(S.Half + 3, x), x)
    assert tn(lowergamma(S.Half - 3, x, evaluate=False),
              lowergamma(S.Half - 3, x), x)

    assert lowergamma(x, y).rewrite(uppergamma) == gamma(x) - uppergamma(x, y)

    assert tn_branch(-3, lowergamma)
    assert tn_branch(-4, lowergamma)
    assert tn_branch(S(1)/3, lowergamma)
    assert tn_branch(pi, lowergamma)
    assert lowergamma(3, exp_polar(4*pi*I)*x) == lowergamma(3, x)
    assert lowergamma(y, exp_polar(5*pi*I)*x) == \
           exp(4*I*pi*y)*lowergamma(y, x*exp_polar(pi*I))
    assert lowergamma(-2, exp_polar(5*pi*I)*x) == \
           lowergamma(-2, x*exp_polar(I*pi)) + 2*pi*I

def test_E():
    assert E(z, 0) == z
    assert E(0, m) == 0
    assert E(i*pi/2, m) == i*E(m)
    assert E(z, oo) == zoo
    assert E(z, -oo) == zoo
    assert E(0) == pi/2
    assert E(1) == 1
    assert E(oo) == I*oo
    assert E(-oo) == oo
    assert E(zoo) == zoo

    assert E(-z, m) == -E(z, m)

    assert E(z, m).diff(z) == sqrt(1 - m*sin(z)**2)
    assert E(z, m).diff(m) == (E(z, m) - F(z, m))/(2*m)
    assert E(z).diff(z) == (E(z) - K(z))/(2*z)
    r = randcplx()
    assert td(E(r, m), m)
    assert td(E(z, r), z)
    assert td(E(z), z)

    mi = Symbol('m', real=False)
    assert E(z, mi).conjugate() == E(z.conjugate(), mi.conjugate())
    mr = Symbol('m', real=True, negative=True)
    assert E(z, mr).conjugate() == E(z.conjugate(), mr)

    assert E(z).rewrite(hyper) == (pi/2)*hyper((-S.Half, S.Half), (S.One,), z)
    assert tn(E(z), (pi/2)*hyper((-S.Half, S.Half), (S.One,), z))
    assert E(z).rewrite(meijerg) == \
        -meijerg(((S.Half, S(3)/2), []), ((S.Zero,), (S.Zero,)), -z)/4
    assert tn(E(z), -meijerg(((S.Half, S(3)/2), []), ((S.Zero,), (S.Zero,)), -z)/4)

def test_conjugate():
    from sympy import conjugate, I, Symbol
    n, z, x = Symbol('n'), Symbol('z', real=False), Symbol('x', real=True)
    y, t = Symbol('y', real=True, positive=True), Symbol('t', negative=True)

    for f in [besseli, besselj, besselk, bessely, hankel1, hankel2]:
        assert f(n, -1).conjugate() != f(conjugate(n), -1)
        assert f(n, x).conjugate() != f(conjugate(n), x)
        assert f(n, t).conjugate() != f(conjugate(n), t)

    rz = randcplx(b=0.5)

    for f in [besseli, besselj, besselk, bessely]:
        assert f(n, 1 + I).conjugate() == f(conjugate(n), 1 - I)
        assert f(n, 0).conjugate() == f(conjugate(n), 0)
        assert f(n, 1).conjugate() == f(conjugate(n), 1)
        assert f(n, z).conjugate() == f(conjugate(n), conjugate(z))
        assert f(n, y).conjugate() == f(conjugate(n), y)
        assert tn(f(n, rz).conjugate(), f(conjugate(n), conjugate(rz)))

    assert hankel1(n, 1 + I).conjugate() == hankel2(conjugate(n), 1 - I)
    assert hankel1(n, 0).conjugate() == hankel2(conjugate(n), 0)
    assert hankel1(n, 1).conjugate() == hankel2(conjugate(n), 1)
    assert hankel1(n, y).conjugate() == hankel2(conjugate(n), y)
    assert hankel1(n, z).conjugate() == hankel2(conjugate(n), conjugate(z))
    assert tn(hankel1(n, rz).conjugate(), hankel2(conjugate(n), conjugate(rz)))

    assert hankel2(n, 1 + I).conjugate() == hankel1(conjugate(n), 1 - I)
    assert hankel2(n, 0).conjugate() == hankel1(conjugate(n), 0)
    assert hankel2(n, 1).conjugate() == hankel1(conjugate(n), 1)
    assert hankel2(n, y).conjugate() == hankel1(conjugate(n), y)
    assert hankel2(n, z).conjugate() == hankel1(conjugate(n), conjugate(z))
    assert tn(hankel2(n, rz).conjugate(), hankel1(conjugate(n), conjugate(rz)))

def test_meijer():
    raises(TypeError, 'meijerg(1, z)')
    raises(TypeError, 'meijerg(((1,), (2,)), (3,), (4,), z)')

    assert meijerg(((1, 2), (3,)), ((4,), (5,)), z) == \
           meijerg(Tuple(1, 2), Tuple(3), Tuple(4), Tuple(5), z)

    g = meijerg((1, 2), (3, 4, 5), (6, 7, 8, 9), (10, 11, 12, 13, 14), z)
    assert g.an == Tuple(1, 2)
    assert g.ap == Tuple(1, 2, 3, 4, 5)
    assert g.aother == Tuple(3, 4, 5)
    assert g.bm == Tuple(6, 7, 8, 9)
    assert g.bq == Tuple(6, 7, 8, 9, 10, 11, 12, 13, 14)
    assert g.bother == Tuple(10, 11, 12, 13, 14)
    assert g.argument == z
    assert g.nu == 75
    assert g.delta == -1
    assert g.is_commutative is True

    assert meijerg([1, 2], [3], [4], [5], z).delta == S(1)/2

    # just a few checks to make sure that all arguments go where they should
    assert tn(meijerg(Tuple(), Tuple(), Tuple(0), Tuple(), -z), exp(z), z)
    assert tn(sqrt(pi)*meijerg(Tuple(), Tuple(),
                               Tuple(0), Tuple(S(1)/2), z**2/4), cos(z), z)
    assert tn(meijerg(Tuple(1, 1),Tuple(), Tuple(1), Tuple(0), z),
              log(1 + z), z)

    # differentiation
    g = meijerg((randcplx(),), (randcplx() + 2*I,), Tuple(),
                (randcplx(), randcplx()), z)
    assert td(g, z)

    g = meijerg(Tuple(), (randcplx(),), Tuple(),
                (randcplx(), randcplx()), z)
    assert td(g, z)

    g = meijerg(Tuple(), Tuple(), Tuple(randcplx()),
                Tuple(randcplx(), randcplx()), z)
    assert td(g, z)

    a1, a2, b1, b2, c1, c2, d1, d2 = symbols('a1:3, b1:3, c1:3, d1:3')
    assert meijerg((a1, a2), (b1, b2), (c1, c2), (d1, d2), z).diff(z) == \
        (meijerg((a1-1, a2), (b1, b2), (c1, c2), (d1, d2), z) \
         + (a1 - 1)*meijerg((a1, a2), (b1, b2), (c1, c2), (d1, d2), z))/z

    raises(NotImplementedError, 'meijerg((z,), (), (), (), z).diff(z)')

def test_bessel_rand():
    assert td(besselj(randcplx(), z), z)
    assert td(bessely(randcplx(), z), z)
    assert td(besseli(randcplx(), z), z)
    assert td(besselk(randcplx(), z), z)
    assert td(hankel1(randcplx(), z), z)
    assert td(hankel2(randcplx(), z), z)
    assert td(jn(randcplx(), z), z)
    assert td(yn(randcplx(), z), z)

def test_rewrite():
    from sympy import polar_lift, exp, I

    assert besselj(n, z).rewrite(jn) == sqrt(2*z/pi)*jn(n - S(1)/2, z)
    assert bessely(n, z).rewrite(yn) == sqrt(2*z/pi)*yn(n - S(1)/2, z)
    assert besseli(n, z).rewrite(besselj) == \
        exp(-I*n*pi/2)*besselj(n, polar_lift(I)*z)
    assert besselj(n, z).rewrite(besseli) == \
        exp(I*n*pi/2)*besseli(n, polar_lift(-I)*z)

    nu = randcplx()

    assert tn(besselj(nu, z), besselj(nu, z).rewrite(besseli), z)
    assert tn(besselj(nu, z), besselj(nu, z).rewrite(bessely), z)

    assert tn(besseli(nu, z), besseli(nu, z).rewrite(besselj), z)
    assert tn(besseli(nu, z), besseli(nu, z).rewrite(bessely), z)

    assert tn(bessely(nu, z), bessely(nu, z).rewrite(besselj), z)
    assert tn(bessely(nu, z), bessely(nu, z).rewrite(besseli), z)

    assert tn(besselk(nu, z), besselk(nu, z).rewrite(besselj), z)
    assert tn(besselk(nu, z), besselk(nu, z).rewrite(besseli), z)
    assert tn(besselk(nu, z), besselk(nu, z).rewrite(bessely), z)

    # check that a rewrite was triggered, when the order is set to a generic
    # symbol 'nu'
    assert yn(nu, z) != yn(nu, z).rewrite(jn)
    assert hn1(nu, z) != hn1(nu, z).rewrite(jn)
    assert hn2(nu, z) != hn2(nu, z).rewrite(jn)
    assert jn(nu, z) != jn(nu, z).rewrite(yn)
    assert hn1(nu, z) != hn1(nu, z).rewrite(yn)
    assert hn2(nu, z) != hn2(nu, z).rewrite(yn)

    # rewriting spherical bessel functions (SBFs) w.r.t. besselj, bessely is
    # not allowed if a generic symbol 'nu' is used as the order of the SBFs
    # to avoid inconsistencies (the order of bessel[jy] is allowed to be
    # complex-valued, whereas SBFs are defined only for integer orders)
    order = nu
    for f in (besselj, bessely):
        assert hn1(order, z) == hn1(order, z).rewrite(f)
        assert hn2(order, z) == hn2(order, z).rewrite(f)

    assert jn(order, z).rewrite(besselj) == sqrt(2)*sqrt(pi)*sqrt(1/z)*besselj(order + S(1)/2, z)/2
    assert jn(order, z).rewrite(bessely) == (-1)**nu*sqrt(2)*sqrt(pi)*sqrt(1/z)*bessely(-order - S(1)/2, z)/2

    # for integral orders rewriting SBFs w.r.t bessel[jy] is allowed
    N = Symbol('n', integer=True)
    ri = randint(-11, 10)
    for order in (ri, N):
        for f in (besselj, bessely):
            assert yn(order, z) != yn(order, z).rewrite(f)
            assert jn(order, z) != jn(order, z).rewrite(f)
            assert hn1(order, z) != hn1(order, z).rewrite(f)
            assert hn2(order, z) != hn2(order, z).rewrite(f)

    for func, refunc in product((yn, jn, hn1, hn2),
                                (jn, yn, besselj, bessely)):
        assert tn(func(ri, z), func(ri, z).rewrite(refunc), z)

def test_P():
    assert P(0, z, m) == F(z, m)
    assert P(1, z, m) == F(z, m) + (sqrt(1 - m * sin(z) ** 2) * tan(z) - E(z, m)) / (1 - m)
    assert P(n, i * pi / 2, m) == i * P(n, m)
    assert P(n, z, 0) == atanh(sqrt(n - 1) * tan(z)) / sqrt(n - 1)
    assert P(n, z, n) == F(z, n) - P(1, z, n) + tan(z) / sqrt(1 - n * sin(z) ** 2)
    assert P(oo, z, m) == 0
    assert P(-oo, z, m) == 0
    assert P(n, z, oo) == 0
    assert P(n, z, -oo) == 0
    assert P(0, m) == K(m)
    assert P(1, m) == zoo
    assert P(n, 0) == pi / (2 * sqrt(1 - n))
    assert P(2, 1) == -oo
    assert P(-1, 1) == oo
    assert P(n, n) == E(n) / (1 - n)

    assert P(n, -z, m) == -P(n, z, m)

    ni, mi = Symbol("n", real=False), Symbol("m", real=False)
    assert P(ni, z, mi).conjugate() == P(ni.conjugate(), z.conjugate(), mi.conjugate())
    nr, mr = Symbol("n", real=True, negative=True), Symbol("m", real=True, negative=True)
    assert P(nr, z, mr).conjugate() == P(nr, z.conjugate(), mr)
    assert P(n, m).conjugate() == P(n.conjugate(), m.conjugate())

    assert P(n, z, m).diff(n) == (
        E(z, m)
        + (m - n) * F(z, m) / n
        + (n ** 2 - m) * P(n, z, m) / n
        - n * sqrt(1 - m * sin(z) ** 2) * sin(2 * z) / (2 * (1 - n * sin(z) ** 2))
    ) / (2 * (m - n) * (n - 1))
    assert P(n, z, m).diff(z) == 1 / (sqrt(1 - m * sin(z) ** 2) * (1 - n * sin(z) ** 2))
    assert P(n, z, m).diff(m) == (
        E(z, m) / (m - 1) + P(n, z, m) - m * sin(2 * z) / (2 * (m - 1) * sqrt(1 - m * sin(z) ** 2))
    ) / (2 * (n - m))
    assert P(n, m).diff(n) == (E(m) + (m - n) * K(m) / n + (n ** 2 - m) * P(n, m) / n) / (2 * (m - n) * (n - 1))
    assert P(n, m).diff(m) == (E(m) / (m - 1) + P(n, m)) / (2 * (n - m))
    rx, ry = randcplx(), randcplx()
    assert td(P(n, rx, ry), n)
    assert td(P(rx, z, ry), z)
    assert td(P(rx, ry, m), m)

    assert P(n, z, m).series(z) == z + z ** 3 * (m / 6 + n / 3) + z ** 5 * (
        3 * m ** 2 / 40 + m * n / 10 - m / 30 + n ** 2 / 5 - n / 15
    ) + O(z ** 6)

def test_lowergamma():
    from sympy import meijerg, exp_polar, I, expint
    assert lowergamma(x, 0) == 0
    assert lowergamma(x, y).diff(y) == y**(x - 1)*exp(-y)
    assert td(lowergamma(randcplx(), y), y)
    assert td(lowergamma(x, randcplx()), x)
    assert lowergamma(x, y).diff(x) == \
        gamma(x)*polygamma(0, x) - uppergamma(x, y)*log(y) \
        - meijerg([], [1, 1], [0, 0, x], [], y)

    assert lowergamma(S.Half, x) == sqrt(pi)*erf(sqrt(x))
    assert not lowergamma(S.Half - 3, x).has(lowergamma)
    assert not lowergamma(S.Half + 3, x).has(lowergamma)
    assert lowergamma(S.Half, x, evaluate=False).has(lowergamma)
    assert tn(lowergamma(S.Half + 3, x, evaluate=False),
              lowergamma(S.Half + 3, x), x)
    assert tn(lowergamma(S.Half - 3, x, evaluate=False),
              lowergamma(S.Half - 3, x), x)

    assert tn_branch(-3, lowergamma)
    assert tn_branch(-4, lowergamma)
    assert tn_branch(S(1)/3, lowergamma)
    assert tn_branch(pi, lowergamma)
    assert lowergamma(3, exp_polar(4*pi*I)*x) == lowergamma(3, x)
    assert lowergamma(y, exp_polar(5*pi*I)*x) == \
        exp(4*I*pi*y)*lowergamma(y, x*exp_polar(pi*I))
    assert lowergamma(-2, exp_polar(5*pi*I)*x) == \
        lowergamma(-2, x*exp_polar(I*pi)) + 2*pi*I

    assert conjugate(lowergamma(x, y)) == lowergamma(conjugate(x), conjugate(y))
    assert conjugate(lowergamma(x, 0)) == conjugate(lowergamma(x, 0))
    assert conjugate(lowergamma(x, -oo)) == conjugate(lowergamma(x, -oo))

    assert lowergamma(
        x, y).rewrite(expint) == -y**x*expint(-x + 1, y) + gamma(x)
    k = Symbol('k', integer=True)
    assert lowergamma(
        k, y).rewrite(expint) == -y**k*expint(-k + 1, y) + gamma(k)
    k = Symbol('k', integer=True, positive=False)
    assert lowergamma(k, y).rewrite(expint) == lowergamma(k, y)
    assert lowergamma(x, y).rewrite(uppergamma) == gamma(x) - uppergamma(x, y)

    assert lowergamma(70, 6) == factorial(69) - 69035724522603011058660187038367026272747334489677105069435923032634389419656200387949342530805432320 * exp(-6)
    assert (lowergamma(S(77) / 2, 6) - lowergamma(S(77) / 2, 6, evaluate=False)).evalf() < 1e-16
    assert (lowergamma(-S(77) / 2, 6) - lowergamma(-S(77) / 2, 6, evaluate=False)).evalf() < 1e-16

def test_rewrite():
    from sympy import polar_lift, exp, I
    assert besselj(n, z).rewrite(jn) == sqrt(2*z/pi)*jn(n - S(1)/2, z)
    assert bessely(n, z).rewrite(yn) == sqrt(2*z/pi)*yn(n - S(1)/2, z)
    assert besseli(n, z).rewrite(besselj) == \
        exp(-I*n*pi/2)*besselj(n, polar_lift(I)*z)
    assert besselj(n, z).rewrite(besseli) == \
        exp(I*n*pi/2)*besseli(n, polar_lift(-I)*z)
    nu = randcplx()
    assert tn(besselj(nu, z), besselj(nu, z).rewrite(besseli), z)
    assert tn(besseli(nu, z), besseli(nu, z).rewrite(besselj), z)