"""
We have a few different kind of Matrices
Matrix, ImmutableMatrix, MatrixExpr

Here we test the extent to which they cooperate
"""

from sympy import symbols
from sympy.matrices import (Matrix, MatrixSymbol, eye, Identity,
        ImmutableMatrix)
from sympy.core.compatibility import range
from sympy.matrices.expressions import MatrixExpr, MatAdd
from sympy.matrices.matrices import classof
from sympy.utilities.pytest import raises

SM = MatrixSymbol('X', 3, 3)
SV = MatrixSymbol('v', 3, 1)
MM = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
IM = ImmutableMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
meye = eye(3)
imeye = ImmutableMatrix(eye(3))
ideye = Identity(3)
a, b, c = symbols('a,b,c')


def test_IM_MM():
    assert isinstance(MM + IM, ImmutableMatrix)
    assert isinstance(IM + MM, ImmutableMatrix)
    assert isinstance(2*IM + MM, ImmutableMatrix)
    assert MM.equals(IM)


def test_ME_MM():
    assert isinstance(Identity(3) + MM, MatrixExpr)
    assert isinstance(SM + MM, MatAdd)
    assert isinstance(MM + SM, MatAdd)
    assert (Identity(3) + MM)[1, 1] == 6


def test_equality():
    a, b, c = Identity(3), eye(3), ImmutableMatrix(eye(3))
    for x in [a, b, c]:
        for y in [a, b, c]:
            assert x.equals(y)


def test_matrix_symbol_MM():
    X = MatrixSymbol('X', 3, 3)
    Y = eye(3) + X
    assert Y[1, 1] == 1 + X[1, 1]


def test_matrix_symbol_vector_matrix_multiplication():
    A = MM * SV
    B = IM * SV
    assert A == B
    C = (SV.T * MM.T).T
    assert B == C
    D = (SV.T * IM.T).T
    assert C == D


def test_indexing_interactions():
    assert (a * IM)[1, 1] == 5*a
    assert (SM + IM)[1, 1] == SM[1, 1] + IM[1, 1]
    assert (SM * IM)[1, 1] == SM[1, 0]*IM[0, 1] + SM[1, 1]*IM[1, 1] + \
        SM[1, 2]*IM[2, 1]


def test_classof():
    A = Matrix(3, 3, range(9))
    B = ImmutableMatrix(3, 3, range(9))
    C = MatrixSymbol('C', 3, 3)
    assert classof(A, A) == Matrix
    assert classof(B, B) == ImmutableMatrix
    assert classof(A, B) == ImmutableMatrix
    assert classof(B, A) == ImmutableMatrix
    raises(TypeError, lambda: classof(A, C))
