from sympy import (Derivative as D, Eq, exp, sin,
    Function, Symbol, symbols, cos, log)
from sympy.core import S
from sympy.solvers.pde import (pde_separate_add, pde_separate_mul,
    pdsolve, classify_pde, checkpdesol)
from sympy.utilities.pytest import raises

a, b, c, x, y = symbols('a b c x y')
def test_pde_separate_add():
    x, y, z, t = symbols("x,y,z,t")
    F, T, X, Y, Z, u = map(Function, 'FTXYZu')

    eq = Eq(D(u(x, t), x), D(u(x, t), t)*exp(u(x, t)))
    res = pde_separate_add(eq, u(x, t), [X(x), T(t)])
    assert res == [D(X(x), x)*exp(-X(x)), D(T(t), t)*exp(T(t))]


def test_pde_separate_mul():
    x, y, z, t = symbols("x,y,z,t")
    c = Symbol("C", real=True)
    Phi = Function('Phi')
    F, R, T, X, Y, Z, u = map(Function, 'FRTXYZu')
    r, theta, z = symbols('r,theta,z')

    # Something simple :)
    eq = Eq(D(F(x, y, z), x) + D(F(x, y, z), y) + D(F(x, y, z), z))

    # Duplicate arguments in functions
    raises(
        ValueError, lambda: pde_separate_mul(eq, F(x, y, z), [X(x), u(z, z)]))
    # Wrong number of arguments
    raises(ValueError, lambda: pde_separate_mul(eq, F(x, y, z), [X(x), Y(y)]))
    # Wrong variables: [x, y] -> [x, z]
    raises(
        ValueError, lambda: pde_separate_mul(eq, F(x, y, z), [X(t), Y(x, y)]))

    assert pde_separate_mul(eq, F(x, y, z), [Y(y), u(x, z)]) == \
        [D(Y(y), y)/Y(y), -D(u(x, z), x)/u(x, z) - D(u(x, z), z)/u(x, z)]
    assert pde_separate_mul(eq, F(x, y, z), [X(x), Y(y), Z(z)]) == \
        [D(X(x), x)/X(x), -D(Z(z), z)/Z(z) - D(Y(y), y)/Y(y)]

    # wave equation
    wave = Eq(D(u(x, t), t, t), c**2*D(u(x, t), x, x))
    res = pde_separate_mul(wave, u(x, t), [X(x), T(t)])
    assert res == [D(X(x), x, x)/X(x), D(T(t), t, t)/(c**2*T(t))]

    # Laplace equation in cylindrical coords
    eq = Eq(1/r * D(Phi(r, theta, z), r) + D(Phi(r, theta, z), r, 2) +
            1/r**2 * D(Phi(r, theta, z), theta, 2) + D(Phi(r, theta, z), z, 2))
    # Separate z
    res = pde_separate_mul(eq, Phi(r, theta, z), [Z(z), u(theta, r)])
    assert res == [D(Z(z), z, z)/Z(z),
            -D(u(theta, r), r, r)/u(theta, r) -
        D(u(theta, r), r)/(r*u(theta, r)) -
        D(u(theta, r), theta, theta)/(r**2*u(theta, r))]
    # Lets use the result to create a new equation...
    eq = Eq(res[1], c)
    # ...and separate theta...
    res = pde_separate_mul(eq, u(theta, r), [T(theta), R(r)])
    assert res == [D(T(theta), theta, theta)/T(theta),
            -r*D(R(r), r)/R(r) - r**2*D(R(r), r, r)/R(r) - c*r**2]
    # ...or r...
    res = pde_separate_mul(eq, u(theta, r), [R(r), T(theta)])
    assert res == [r*D(R(r), r)/R(r) + r**2*D(R(r), r, r)/R(r) + c*r**2,
            -D(T(theta), theta, theta)/T(theta)]

def test_pde_classify():
    # When more number of hints are added, add tests for classifying here.
    f = Function('f')
    eq1 = a*f(x,y) + b*f(x,y).diff(x) + c*f(x,y).diff(y)
    eq2 = 3*f(x,y) + 2*f(x,y).diff(x) + f(x,y).diff(y)
    eq3 = a*f(x,y) + b*f(x,y).diff(x) + 2*f(x,y).diff(y)
    eq4 = x*f(x,y) + f(x,y).diff(x) + 3*f(x,y).diff(y)
    eq5 = x**2*f(x,y) + x*f(x,y).diff(x) + x*y*f(x,y).diff(y)
    eq6 = y*x**2*f(x,y) + y*f(x,y).diff(x) + f(x,y).diff(y)
    for eq in [eq1, eq2, eq3]:
        assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
    for eq in [eq4, eq5, eq6]:
        assert classify_pde(eq) == ()


def test_checkpdesol():
    f, F = map(Function, ['f', 'F'])
    eq1 = a*f(x,y) + b*f(x,y).diff(x) + c*f(x,y).diff(y)
    eq2 = 3*f(x,y) + 2*f(x,y).diff(x) + f(x,y).diff(y)
    eq3 = a*f(x,y) + b*f(x,y).diff(x) + 2*f(x,y).diff(y)
    for eq in [eq1, eq2, eq3]:
        assert checkpdesol(eq, pdsolve(eq))[0]
    eq4 = x*f(x,y) + f(x,y).diff(x) + 3*f(x,y).diff(y)
    eq5 = 2*f(x,y) + 1*f(x,y).diff(x) + 3*f(x,y).diff(y)
    eq6 = f(x,y) + 1*f(x,y).diff(x) + 3*f(x,y).diff(y)
    assert checkpdesol(eq4, [pdsolve(eq5), pdsolve(eq6)]) == [
        (False, (x - 2)*F(3*x - y)*exp(-x/S(5) - 3*y/S(5))),
         (False, (x - 1)*F(3*x - y)*exp(-x/S(10) - 3*y/S(10)))]


def test_solvefun():
    f, F, G, H = map(Function, ['f', 'F', 'G', 'H'])
    eq1 = f(x,y) + f(x,y).diff(x) + f(x,y).diff(y)
    assert pdsolve(eq1) == Eq(f(x, y), F(x - y)*exp(-x/2 - y/2))
    assert pdsolve(eq1, solvefun=G) == Eq(f(x, y), G(x - y)*exp(-x/2 - y/2))
    assert pdsolve(eq1, solvefun=H) == Eq(f(x, y), H(x - y)*exp(-x/2 - y/2))


def test_pde_1st_linear_constant_coeff_homogeneous():
    f, F = map(Function, ['f', 'F'])
    u = f(x, y)
    eq = 2*u + u.diff(x) + u.diff(y)
    assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
    sol = pdsolve(eq)
    assert sol == Eq(u, F(x - y)*exp(-x - y))
    assert checkpdesol(eq, sol)[0]

    eq = 4 + (3*u.diff(x)/u) + (2*u.diff(y)/u)
    assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
    sol = pdsolve(eq)
    assert sol == Eq(u, F(2*x - 3*y)*exp(-S(12)*x/13 - S(8)*y/13))
    assert checkpdesol(eq, sol)[0]

    eq = u + (6*u.diff(x)) + (7*u.diff(y))
    assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
    sol = pdsolve(eq)
    assert sol == Eq(u, F(7*x - 6*y)*exp(-6*x/S(85) - 7*y/S(85)))
    assert checkpdesol(eq, sol)[0]

    eq = a*u + b*u.diff(x) + c*u.diff(y)
    sol = pdsolve(eq)
    assert checkpdesol(eq, sol)[0]

def test_pde_1st_linear_constant_coeff():
    f, F = map(Function, ['f', 'F'])
    u = f(x,y)
    eq = -2*u.diff(x) + 4*u.diff(y) + 5*u - exp(x + 3*y)
    sol = pdsolve(eq)
    assert sol == Eq(f(x,y),
    (F(4*x + 2*y) + exp(x/S(2) + 4*y)/S(15))*exp(x/S(2) - y))
    assert classify_pde(eq) == ('1st_linear_constant_coeff',
    '1st_linear_constant_coeff_Integral')
    assert checkpdesol(eq, sol)[0]

    eq = (u.diff(x)/u) + (u.diff(y)/u) + 1 - (exp(x + y)/u)
    sol = pdsolve(eq)
    assert sol == Eq(f(x, y), F(x - y)*exp(-x/2 - y/2) + exp(x + y)/S(3))
    assert classify_pde(eq) == ('1st_linear_constant_coeff',
    '1st_linear_constant_coeff_Integral')
    assert checkpdesol(eq, sol)[0]

    eq = 2*u + -u.diff(x) + 3*u.diff(y) + sin(x)
    sol = pdsolve(eq)
    assert sol == Eq(f(x, y),
         F(3*x + y)*exp(x/S(5) - 3*y/S(5)) - 2*sin(x)/S(5) - cos(x)/S(5))
    assert classify_pde(eq) == ('1st_linear_constant_coeff',
    '1st_linear_constant_coeff_Integral')
    assert checkpdesol(eq, sol)[0]

    eq = u + u.diff(x) + u.diff(y) + x*y
    sol = pdsolve(eq)
    assert sol == Eq(f(x, y),
        -x*y + x + y + F(x - y)*exp(-x/S(2) - y/S(2)) - 2)
    assert classify_pde(eq) == ('1st_linear_constant_coeff',
    '1st_linear_constant_coeff_Integral')
    assert checkpdesol(eq, sol)[0]

    eq = u + u.diff(x) + u.diff(y) + log(x)
    assert classify_pde(eq) == ('1st_linear_constant_coeff',
    '1st_linear_constant_coeff_Integral')

def test_pdsolve_all():
    f, F = map(Function, ['f', 'F'])
    u = f(x,y)
    eq = u + u.diff(x) + u.diff(y) + x**2*y
    sol = pdsolve(eq, hint = 'all')
    keys = ['1st_linear_constant_coeff',
        '1st_linear_constant_coeff_Integral', 'default', 'order']
    assert sorted(sol.keys()) == keys
    assert sol['order'] == 1
    assert sol['default'] == '1st_linear_constant_coeff'
    assert sol['1st_linear_constant_coeff'] == Eq(f(x, y),
        -x**2*y + x**2 + 2*x*y - 4*x - 2*y + F(x - y)*exp(-x/S(2) - y/S(2)) + 6)
