[6158] | 1 | #!/usr/bin/env python |
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| 2 | |
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| 3 | import unittest |
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| 4 | from math import sqrt |
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| 5 | |
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| 6 | from sparse import * |
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[6304] | 7 | import numpy as num |
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[6158] | 8 | |
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| 9 | |
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| 10 | class Test_Sparse(unittest.TestCase): |
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| 11 | |
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| 12 | def setUp(self): |
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| 13 | pass |
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| 14 | |
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| 15 | def tearDown(self): |
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| 16 | pass |
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| 17 | |
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| 18 | def test_init1(Self): |
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| 19 | """Test initialisation from dimensions |
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| 20 | """ |
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| 21 | A = Sparse(3,3) |
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| 22 | A[1,1] = 4 |
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| 23 | |
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| 24 | for i in range(3): |
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| 25 | for j in range(3): |
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| 26 | if i==1 and j==1: |
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| 27 | assert A[i,j] == 4.0 |
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| 28 | else: |
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| 29 | assert A[i,j] == 0.0 |
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| 30 | |
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| 31 | def test_init2(Self): |
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| 32 | """Test initialisation from dense matrix |
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| 33 | """ |
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| 34 | |
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| 35 | A = Sparse(4,3) |
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| 36 | A[1,1] = 4 |
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| 37 | A[2,0] = 6 |
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| 38 | A[0,1] = 13 |
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| 39 | A[0,2] = -6 |
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| 40 | A[2,2] = 1 |
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| 41 | |
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| 42 | B = A.todense() |
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| 43 | |
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| 44 | C = Sparse(B) |
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| 45 | |
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| 46 | assert num.allclose(C.todense(), B) |
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| 47 | |
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| 48 | |
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| 49 | def test_dense(self): |
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| 50 | A = Sparse(4,3) |
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| 51 | A[1,1] = 4 |
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| 52 | |
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| 53 | assert num.allclose(A.todense(), [[0,0,0], [0,4,0], [0,0,0], [0,0,0]]) |
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| 54 | |
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| 55 | |
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| 56 | def test_reset_to_zero_possible(self): |
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| 57 | """Test that nonzero element can be reset to zero |
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| 58 | (This was not possible when we tried sparse from scipy). |
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| 59 | """ |
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| 60 | |
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| 61 | A = Sparse(3,3) |
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| 62 | A[1,1] = 4 |
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| 63 | A[1,1] = 0 |
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| 64 | |
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| 65 | assert len(A) == 0 |
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| 66 | assert num.allclose(A.todense(), [[0,0,0], [0,0,0], [0,0,0]]) |
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| 67 | |
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| 68 | #Set an existing zero element to zero |
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| 69 | A[1,2] = 0 |
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| 70 | assert len(A) == 0 |
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| 71 | assert num.allclose(A.todense(), [[0,0,0], [0,0,0], [0,0,0]]) |
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| 72 | |
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| 73 | def test_sparse_multiplication_vector(self): |
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| 74 | A = Sparse(3,3) |
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| 75 | |
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| 76 | A[0,0] = 3 |
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| 77 | A[1,1] = 2 |
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| 78 | A[1,2] = 2 |
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| 79 | A[2,2] = 1 |
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| 80 | |
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| 81 | #Right hand side vector |
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| 82 | v = [2,3,4] |
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| 83 | |
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| 84 | u = A*v |
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| 85 | assert num.allclose(u, [6,14,4]) |
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| 86 | |
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| 87 | #Right hand side column |
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[6304] | 88 | v = num.array([[2,4],[3,4],[4,4]]) |
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[6158] | 89 | |
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| 90 | u = A*v[:,0] |
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| 91 | assert num.allclose(u, [6,14,4]) |
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| 92 | |
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| 93 | u = A*v[:,1] |
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| 94 | assert num.allclose(u, [12,16,4]) |
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| 95 | |
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| 96 | |
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| 97 | def test_sparse_multiplication_matrix(self): |
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| 98 | A = Sparse(3,3) |
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| 99 | |
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| 100 | A[0,0] = 3 |
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| 101 | A[1,1] = 2 |
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| 102 | A[1,2] = 2 |
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| 103 | A[2,2] = 1 |
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| 104 | |
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| 105 | #Right hand side matrix |
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[6304] | 106 | v = num.array([[2,4],[3,4],[4,4]]) |
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[6158] | 107 | |
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| 108 | u = A*v |
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| 109 | assert num.allclose(u, [[6,12], [14,16], [4,4]]) |
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| 110 | |
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| 111 | |
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| 112 | |
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| 113 | def test_sparse_transpose_multiplication(self): |
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| 114 | A = Sparse(3,3) |
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| 115 | |
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| 116 | A[0,0] = 3 |
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| 117 | A[1,1] = 2 |
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| 118 | A[1,2] = 2 |
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| 119 | A[2,2] = 1 |
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| 120 | |
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| 121 | #Right hand side vector |
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| 122 | v = [2,3,4] |
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| 123 | |
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| 124 | u = A.trans_mult(v) |
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| 125 | assert num.allclose(u, [6,6,10]) |
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| 126 | |
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| 127 | |
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| 128 | def test_scalar_multiplication(self): |
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| 129 | """Test method __rmul__ |
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| 130 | """ |
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| 131 | |
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| 132 | A = Sparse(3,3) |
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| 133 | |
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| 134 | A[0,0] = 3 |
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| 135 | A[1,1] = 2 |
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| 136 | A[1,2] = 2 |
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| 137 | A[2,2] = 1 |
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| 138 | |
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| 139 | B = 3*A |
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| 140 | assert num.allclose(B.todense(), 3*A.todense()) |
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| 141 | |
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| 142 | B = A*3 |
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| 143 | assert num.allclose(B.todense(), 3*A.todense()) |
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| 144 | |
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| 145 | try: |
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| 146 | B = 'a'*A |
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| 147 | except TypeError: |
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| 148 | pass |
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| 149 | else: |
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| 150 | raise 'Should have failed' |
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| 151 | |
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| 152 | def test_sparse_addition(self): |
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| 153 | """ Test sparse addition with dok format |
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| 154 | """ |
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| 155 | |
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| 156 | A = Sparse(3,3) |
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| 157 | |
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| 158 | A[0,0] = 3 |
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| 159 | A[1,1] = 2 |
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| 160 | A[1,2] = 2 |
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| 161 | A[2,2] = 1 |
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| 162 | |
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| 163 | |
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| 164 | B = 3*A |
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| 165 | B[1,0] = 2 |
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| 166 | |
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| 167 | C = A+B |
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| 168 | |
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| 169 | assert num.allclose(C.todense(), [[12,0,0], [2,8,8], [0,0,4]]) |
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| 170 | |
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| 171 | def test_sparse_tocsr(self): |
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| 172 | """ Test conversion to csr format |
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| 173 | """ |
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| 174 | |
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| 175 | A = Sparse(4,3) |
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| 176 | |
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| 177 | A[0,0] = 3 |
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| 178 | A[1,1] = 2 |
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| 179 | A[1,2] = 2 |
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| 180 | A[2,2] = 1 |
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| 181 | A[0,2] = 4 |
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| 182 | A[2,0] = 5 |
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| 183 | |
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| 184 | #print ' ' |
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| 185 | #print A.todense() |
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| 186 | |
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| 187 | B = Sparse_CSR(A) |
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| 188 | |
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| 189 | #print B.todense() |
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| 190 | |
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| 191 | C = [1, 2, 3] |
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| 192 | |
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| 193 | assert num.allclose(B*C, [15.0, 10.0 ,8.0, 0.0]) |
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| 194 | |
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| 195 | C2 = [[1,2],[2,4],[3,6]] |
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| 196 | |
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| 197 | #print B*C2 |
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| 198 | |
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| 199 | assert num.allclose(B*C2, [[15.0, 30.0],[10.0, 20.0],[8.0, 16.0],[0.0, 0.0]]) |
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| 200 | |
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| 201 | |
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| 202 | |
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| 203 | #------------------------------------------------------------- |
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| 204 | if __name__ == "__main__": |
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| 205 | suite = unittest.makeSuite(Test_Sparse, 'test') |
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| 206 | runner = unittest.TextTestRunner() |
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| 207 | runner.run(suite) |
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