source: trunk/anuga_core/source/anuga/utilities/test_sparse.py @ 9072

#!/usr/bin/env python

import unittest
from math import sqrt

from sparse import *
import numpy as num


class Test_Sparse(unittest.TestCase):

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def test_init1(Self):
        """Test initialisation from dimensions
        """
        A = Sparse(3,3)
        A[1,1] = 4

        for i in range(3):
            for j in range(3):
                if i==1 and j==1:
                    assert A[i,j] == 4.0
                else:
                    assert A[i,j] == 0.0

    def test_init2(Self):
        """Test initialisation from dense matrix
        """

        A = Sparse(4,3)
        A[1,1] = 4
        A[2,0] = 6
        A[0,1] = 13
        A[0,2] = -6
        A[2,2] = 1

        B = A.todense()

        C = Sparse(B)

        assert num.allclose(C.todense(), B)


    def test_dense(self):
        A = Sparse(4,3)
        A[1,1] = 4

        assert num.allclose(A.todense(), [[0,0,0], [0,4,0], [0,0,0], [0,0,0]])


    def test_reset_to_zero_possible(self):
        """Test that nonzero element can be reset to zero
        (This was not possible when we tried sparse from scipy).
        """

        A = Sparse(3,3)
        A[1,1] = 4
        A[1,1] = 0

        assert len(A) == 0
        assert num.allclose(A.todense(), [[0,0,0], [0,0,0], [0,0,0]])

        #Set an existing zero element to zero
        A[1,2] = 0
        assert len(A) == 0
        assert num.allclose(A.todense(), [[0,0,0], [0,0,0], [0,0,0]])

    def test_sparse_multiplication_vector(self):
        A = Sparse(3,3)

        A[0,0] = 3
        A[1,1] = 2
        A[1,2] = 2
        A[2,2] = 1

        #Right hand side vector
        v = [2,3,4]

        u = A*v
        assert num.allclose(u, [6,14,4])

        #Right hand side column
        v = num.array([[2,4],[3,4],[4,4]])

        u = A*v[:,0]
        assert num.allclose(u, [6,14,4])

        u = A*v[:,1]
        assert num.allclose(u, [12,16,4])


    def test_sparse_multiplication_matrix(self):
        A = Sparse(3,3)

        A[0,0] = 3
        A[1,1] = 2
        A[1,2] = 2
        A[2,2] = 1

        #Right hand side matrix
        v = num.array([[2,4],[3,4],[4,4]])

        u = A*v
        assert num.allclose(u, [[6,12], [14,16], [4,4]])



    def test_sparse_transpose_multiplication(self):
        A = Sparse(3,3)

        A[0,0] = 3
        A[1,1] = 2
        A[1,2] = 2
        A[2,2] = 1

        #Right hand side vector
        v = [2,3,4]

        u = A.trans_mult(v)
        assert num.allclose(u, [6,6,10])


    def test_scalar_multiplication(self):
        """Test method __rmul__
        """

        A = Sparse(3,3)

        A[0,0] = 3
        A[1,1] = 2
        A[1,2] = 2
        A[2,2] = 1

        B = 3*A
        assert num.allclose(B.todense(), 3*A.todense())

        B = A*3
        assert num.allclose(B.todense(), 3*A.todense())

        try:
            B = 'a'*A
        except TypeError:
            pass
        else:
            raise Exception('Should have failed')

    def test_sparse_addition(self):
        """ Test sparse addition with dok format
        """

        A = Sparse(3,3)

        A[0,0] = 3
        A[1,1] = 2
        A[1,2] = 2
        A[2,2] = 1


        B = 3*A
        B[1,0] = 2

        C = A+B

        assert num.allclose(C.todense(), [[12,0,0], [2,8,8], [0,0,4]])

    def test_sparse_tocsr(self):
        """ Test conversion to csr format
        """

        A = Sparse(4,3)

        A[0,0] = 3
        A[1,1] = 2
        A[1,2] = 2
        A[2,2] = 1
        A[0,2] = 4
        A[2,0] = 5

        #print ' '
        #print A.todense()

        B = Sparse_CSR(A)

        #print B.todense()

        C = [1, 2, 3]

        assert num.allclose(B*C, [15.0, 10.0 ,8.0, 0.0])

        C2 = [[1,2],[2,4],[3,6]]

        #print B*C2

        assert num.allclose(B*C2, [[15.0, 30.0],[10.0, 20.0],[8.0, 16.0],[0.0, 0.0]])

    def test_sparse_csr_init(self):
        A = num.array([[1.0,0.0,-1.0,0.0],[0.0,2.0,0.0,0.0],[0.0,0.0,0.0,-3.0],[0.0,0.0,4.0,0.0]])
        data = num.array([1.0,-1.0,2.0,-3.0,4.0])
        Colind = num.array([0,2,1,3,2])
        rowptr = num.array([0,2,3,4,5]) #the 5 does not correspond to any row, it is just there so we know how many nonzero entries there are!
        A_CSR = Sparse_CSR(None,data,Colind,rowptr,4,4)
        A_dense = A_CSR.todense()
        assert num.allclose(A, A_dense)

################################################################################

if __name__ == "__main__":
    suite = unittest.makeSuite(Test_Sparse, 'test')
    runner = unittest.TextTestRunner()
    runner.run(suite)