def testSetItem(self):
"""Test setting of matrix element."""
# test setting element using valid key
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m1[1, 1] = 5
self.assertTrue(m1.all_equal(Matrix.fromRows([[1, 2], [3, 5]])))
# test setting element using invalid key
with self.assertRaises(TypeError):
m1['spam'] = 5
# TypeError check (must me tuple) is performed before ValueError
# check (must be length two) so m1[1] raises TypeError
with self.assertRaises(TypeError):
m1[1] = 5
with self.assertRaises(ValueError):
m1[1, 1, 1] = 5
with self.assertRaises(TypeError):
m1[1, 'spam'] = 5
with self.assertRaises(exc.OutOfBoundsError):
m1[-1, 1] = 5
with self.assertRaises(exc.OutOfBoundsError):
m1[1, -1] = 5
with self.assertRaises(exc.OutOfBoundsError):
m1[2, 1] = 5
with self.assertRaises(exc.OutOfBoundsError):
m1[1, 2] = 5
def testTranspose(self):
"""Test matrix transposition."""
# test transposition
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.transpose().all_equal(Matrix.fromRows([[1, 3], [2, 4]])))
# test involution property of transposition
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.transpose().transpose().all_equal(m1))
def testAllEqual(self):
"""Test eq method."""
# test equality
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.all_equal(m1))
# test non-equality
m2 = Matrix.fromRows(([1, 2], [3, 5]))
m3 = Matrix.fromRows(([1, 2, 2], [3, 4, 4]))
self.assertFalse(m1.all_equal('spam'))
self.assertFalse(m1.all_equal(m2))
self.assertFalse(m1.all_equal(m3))
def testToeplitzDecomposition(self):
"""Test Toeplitz decomposition."""
# test decomposition on square matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
sym, skew = m1.toeplitz_decomposition()
self.assertTrue(sym.is_symmetric())
self.assertTrue(skew.is_skew_symmetric())
# test decomposition on non-square matrix
m2 = Matrix.fromRows([[1, 2], [3, 4], [5, 6]])
with self.assertRaises(exc.DecompositionError):
m2.toeplitz_decomposition()
def testSymmetry(self):
"""Test matrix symmetry."""
# test symmetry
m1 = Matrix.fromRows([[1, 2], [2, 4]])
self.assertTrue(m1.is_symmetric())
m2 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(not m2.is_symmetric())
# test skew-symmetry
m3 = Matrix.fromRows([[0, 2], [-2, 0]])
self.assertTrue(m3.is_skew_symmetric())
self.assertTrue(not m2.is_skew_symmetric())
def testStr(self):
"""Test string method."""
m1 = Matrix.fromRows([[1, 20], [300, 4000]])
self.assertTrue(str(m1) == ' 1 20\n' +
' 300 4000\n')
m2 = Matrix.fromRows([[1., 20.], [300., 4000.]])
self.assertTrue(str(m2) == ' 1.000 20.000\n' +
' 300.000 4000.000\n')
# test decimal precision
Matrix.set_str_precision(2)
self.assertTrue(str(m2) == ' 1.00 20.00\n' +
' 300.00 4000.00\n')
def testQRDecomposition(self):
"""Test QR decomposition."""
# test decomposition on square matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
Q, R = m1.qr_decomposition()
self.assertTrue(Q.all_near(Matrix.fromRows([
[1 / sqrt(10), 3 / sqrt(10)],
[3 / sqrt(10), -1 / sqrt(10)]
])))
self.assertTrue(m1.all_near(Q * R))
# test decomposition on non-square matrix
m2 = Matrix.fromRows([[1, 2]])
with self.assertRaises(NotImplementedError):
m2.qr_decomposition()
def testArithmeticReflection(self):
"""Test matrix arithmetic using reflection magics."""
m1 = Matrix.fromRows([[1, 2], [3, 4]])
# test addition
m2 = 1 + m1
self.assertTrue(m2.all_equal(Matrix.fromRows([[2, 3], [4, 5]])))
# test subtraction
m2 = 1 - m1
self.assertTrue(m2.all_equal(Matrix.fromRows([[0, -1], [-2, -3]])))
# test multiplication
m2 = 2 * m1
self.assertTrue(m2.all_equal(Matrix.fromRows([[2, 4], [6, 8]])))
def testCopy(self):
"""Test shallow and deep copying."""
# test shallow copying
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = copy(m1)
self.assertTrue(m2 is not m1)
m2[1, 1] = 5
self.assertTrue(m1[1, 1] == 5)
# test deep copying
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = deepcopy(m1)
self.assertTrue(m2 is not m1)
m2[1, 1] = 5
self.assertTrue(m1[1, 1] == 4)
def testHadamard(self):
"""Test Hadamard product of matrices."""
# test Hadamard with matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
m3 = NumericMatrix.hadamard(m1, m2)
self.assertTrue(m3.all_equal(Matrix.fromRows([[5, 12], [21, 32]])))
# test Hadamard with non-conforming matrix
m4 = Matrix.fromRows([[9, 10]])
with self.assertRaises(exc.ComformabilityError):
NumericMatrix.hadamard(m1, m4)
# test Hadamard with non-matrix/numeric object
with self.assertRaises(TypeError):
NumericMatrix.hadamard(m1, 'spam')
def testRepr(self):
"""Test repr method."""
m1 = Matrix.fromRows([[1, 2, 3], [4, 5, 6]])
self.assertTrue(repr(m1) == "IntegerMatrix(2, 3, [\r\n" +
" [1, 2, 3],\r\n" +
" [4, 5, 6]\r\n" +
"])")
self.assertTrue(eval(repr(m1)).all_equal(m1))
def testMul(self):
"""Test multiplication operator."""
# test multiplication by matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
m3 = m1 * m2
self.assertTrue(m3.all_equal(Matrix.fromRows([[19, 22], [43, 50]])))
# test multiplication by non-square (but conforming) matrix
m3 = Matrix.fromRows([[5, 6, 7], [8, 9, 10]])
m4 = m1 * m3
self.assertTrue(m4.all_equal(Matrix.fromRows([[21, 24, 27], [47, 54, 61]])))
# test multiplication by vector
v1 = Vector.fromList([1, 2])
self.assertTrue(m1 * v1 == Vector.fromList([5, 11]))
# test multiplication by scalar
m5 = m1 * 2
self.assertTrue(m5.all_equal(Matrix.fromRows([[2, 4], [6, 8]])))
# test multiplication by non-conforming matrix
m6 = Matrix.fromRows([[9, 10]])
with self.assertRaises(exc.ComformabilityError):
m1 * m6
# test multiplication by non-conforming vector
v2 = Vector.fromList([1, 2, 3])
with self.assertRaises(exc.ComformabilityError):
m1 * v2
# test multiplication by non-matrix/numeric object
with self.assertRaises(TypeError):
m1 * 'spam'
def testDeterminant(self):
"""Test calculation of determinant for square matrices."""
# test determinant on square matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.determinant == -2)
# test determinant on identity matrix
m2 = IntegerMatrix.makeIdentity(2)
self.assertTrue(m2.determinant == 1)
# test determinant on non-square matrix
m3 = Matrix.fromRows([[1, 2, 3], [4, 5, 6]])
with self.assertRaises(exc.LinearAlgebraError):
m3.determinant()
# test determinant on a singular square matrix
m1 = Matrix.fromRows([[1, 2], [2, 4]])
self.assertTrue(m1.determinant == 0)
def testAllNear(self):
"""Test approximate equality."""
# test approximate equality
m1 = Matrix.fromRows([[1., 2.], [3., 4.]])
m2 = Matrix.fromRows([[1., 2.], [3., 4. + 10e-10]])
self.assertTrue(m1.all_near(m2))
# test approximate in-equality
m3 = Matrix.fromRows([[1., 2.], [3., 4. + 10e-6]])
self.assertFalse(m1.all_near(m3))
# test custom tolerance
self.assertTrue(m1.all_near(m3, tol=10e-4))
# test non-quality
m4 = Matrix.fromRows(([1., 2., 2.], [3., 4., 4.]))
self.assertFalse(m1.all_near('spam'))
self.assertFalse(m1.all_near(m4))
def testAdd(self):
"""Test addition operator."""
# test addition by matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
m3 = m1 + m2
self.assertTrue(m3.all_equal(Matrix.fromRows([[6, 8], [10, 12]])))
# test addition by scalar
m4 = m1 + 1
self.assertTrue(m4.all_equal(Matrix.fromRows([[2, 3], [4, 5]])))
# test addition by non-conforming matrix
m5 = Matrix.fromRows([[9, 10]])
with self.assertRaises(exc.ComformabilityError):
m1 + m5
# test addition by non-matrix/numeric object
with self.assertRaises(TypeError):
m1 + 'spam'
def testSub(self):
"""Test subtraction operator."""
# test subtraction by matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
m3 = m1 - m2
self.assertTrue(m3.all_equal(Matrix.fromRows([[-4, -4], [-4, -4]])))
# test subtraction by scalar
m4 = m1 - 1
self.assertTrue(m4.all_equal(Matrix.fromRows([[0, 1], [2, 3]])))
# test subtraction by non-conforming matrix
m5 = Matrix.fromRows([[9, 10]])
with self.assertRaises(exc.ComformabilityError):
m1 - m5
# test subtraction by non-matrix/numeric object
with self.assertRaises(TypeError):
m1 - 'spam'
def testDiv(self):
"""Test division operator."""
# test true division by matrix
m1 = Matrix.fromRows([[1., 2.], [3., 4.]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
with self.assertRaises(TypeError):
m1 / m2
# test true division by scalar
m3 = m1 / 2
self.assertTrue(m3.all_equal(Matrix.fromRows([[.5, 1.], [1.5, 2.]])))
# test true division by non-matrix/numeric object
with self.assertRaises(TypeError):
m1 / 'spam'
# test floor division by matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
with self.assertRaises(TypeError):
m1 // m2
# test floor division by scalar
m3 = m1 // 2
self.assertTrue(m3.all_equal(Matrix.fromRows([[0, 1], [1, 2]])))
# test floor division by non-matrix/numeric object
with self.assertRaises(TypeError):
m1 // 'spam'
def testInversion(self):
"""Test inversion of non-singular matrices."""
# test inversion of a non-singular matrix
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.invert().all_equal(Matrix.fromRows([[-4, 2], [3, -1]]) / 2))
# test inversion of the identity matrix
m2 = IntegerMatrix.makeIdentity(2)
self.assertTrue(m2.determinant.all_equal(1))
# test inversion of a non-square matrix
m3 = Matrix.fromRows([[1, 2, 3], [4, 5, 6]])
with self.assertRaises(exc.LinearAlgebraError):
m3.invert()
# test inversion of a singular matrix
m4 = Matrix.fromRows([[1, 2], [2, 4]])
with self.assertRaises(exc.LinearAlgebraError):
m4.invert()
# test inversion using the property method
self.assertTrue(m1.inverse.all_equal(Matrix.fromRows([[-4, 2], [3, -1]]) / 2))
def testSubset(self):
"""Test matrix subsetting."""
# test subsetting matrix using valid rows/cols
m1 = Matrix.fromRows([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
m2 = m1.subset([0, 2], [1])
self.assertTrue(m2.all_equal(Matrix.fromRows([[2], [8]])))
# test subsetting matrix using invalid rows/cols
with self.assertRaises(TypeError):
m1.subset([0, 2], 'spam')
with self.assertRaises(ValueError):
m1.subset([0, 2], [])
with self.assertRaises(TypeError):
m1.subset([0, .5], [1])
with self.assertRaises(exc.OutOfBoundsError):
m1.subset([-1, 2], [1])
with self.assertRaises(exc.OutOfBoundsError):
m1.subset([0, 2], [-1])
with self.assertRaises(exc.OutOfBoundsError):
m1.subset([0, 3], [1])
with self.assertRaises(exc.OutOfBoundsError):
m1.subset([0, 2], [3])
def testArithmeticAssignment(self):
"""Test matrix arithmetic using assignment magics."""
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = Matrix.fromRows([[5, 6], [7, 8]])
# test addition
m1 += m2
self.assertTrue(m1.all_equal(Matrix.fromRows([[6, 8], [10, 12]])))
m1 += 1
self.assertTrue(m1.all_equal(Matrix.fromRows([[7, 9], [11, 13]])))
# test subtraction
m1 = Matrix.fromRows([[1, 2], [3, 4]]) # reset m1
m1 -= m2
self.assertTrue(m1.all_equal(Matrix.fromRows([[-4, -4], [-4, -4]])))
m1 -= 1
self.assertTrue(m1.all_equal(Matrix.fromRows([[-5, -5], [-5, -5]])))
# test multiplication
m1 = Matrix.fromRows([[1, 2], [3, 4]]) # reset m1
m1 *= m2
self.assertTrue(m1.all_equal(Matrix.fromRows([[19, 22], [43, 50]])))
m1 *= 2
self.assertTrue(m1.all_equal(Matrix.fromRows([[38, 44], [86, 100]])))
# test division
m1 = Matrix.fromRows([[1., 2.], [3., 4.]]) # reset m1
# inplace floor division seems like a bad idea as it changes type
# m1 //= 2
# self.assertTrue(m1.all_equal(Matrix.fromRows([[0, 1], [1, 2]])))
m1 /= 2
self.assertTrue(m1.all_equal(Matrix.fromRows([[0.5, 1.], [1.5, 2.]])))
def testIter(self):
"""Test iteration method."""
m1 = Matrix.fromRows([[1, 2], [3, 4]])
for i, e in enumerate(m1):
self.assertTrue(e == i + 1)
def testPos(self):
"""Test unary positive method."""
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.all_equal(+m1))
def testNeg(self):
"""Test matrix negation."""
m1 = Matrix.fromRows([[1, 2], [3, 4]])
m2 = -m1
self.assertTrue(m2.all_equal(Matrix.fromRows([[-1, -2], [-3, -4]])))
def testDim(self):
"""Test matrix dimensions."""
m1 = Matrix.fromRows([[1, 2, 3], [4, 5, 6]])
self.assertTrue(m1.dim == (2, 3))
def testRowReduction(self):
"""Test reduction to row-reduced and row-echelon form."""
# test reduction to row-echelon form
m1 = Matrix.fromRows([[1, 2], [3, 4]])
self.assertTrue(m1.row_echelon().all_equal(Matrix.fromRows([[1, 2], [0, 1]])))
# test reduction on reflection matrix
m2 = Matrix.fromRows([[0, 1], [1, 0]])
self.assertTrue(m2.row_echelon().all_equal(IntegerMatrix.makeIdentity(2)))
# test reduction on matrix with zero row
m3 = Matrix.fromRows([[0, 0], [1, 0]])
self.assertTrue(m3.row_echelon().all_equal(Matrix.fromRows([[1, 0], [0, 0]])))
# test reduction to row-echelon form on the zero matrix
m4 = IntegerMatrix.makeZero(2, 2)
self.assertTrue(m4.row_echelon().all_equal(IntegerMatrix.makeZero(2, 2)))
# test reduction to row-echelon form on the matrix with only one row
m5 = Matrix.fromRows([[1, 2, 3, 4]])
self.assertTrue(m5.row_reduce().all_equal(Matrix.fromRows([[1, 2, 3, 4]])))
# test reduction to row-echelon form on the matrix with only one column
m6 = Matrix.fromRows([[1], [2], [3], [4]])
self.assertTrue(m6.row_reduce() == Matrix.fromRows([[1], [0],
[0], [0]]))
# test idempotency of reduction to row-echelon form
self.assertTrue(m1.row_echelon().all_equal(m1.row_echelon().row_echelon()))
# test row reduction
self.assertTrue(m1.row_reduce().all_equal(IntegerMatrix.makeIdentity(2)))
# test row reduction on the zero matrix
self.assertTrue(m4.row_reduce().all_equal(IntegerMatrix.makeZero(2, 2)))
# test row reduction on the matrix with only one row
m3 = Matrix.fromRows([[1, 2, 3, 4]])
self.assertTrue(m5.row_reduce().all_equal(Matrix.fromRows([[1, 2, 3, 4]])))
# test row reduction on the matrix with only one column
self.assertTrue(m6.row_reduce() == Matrix.fromRows([[1], [0],
[0], [0]]))
# test idempotency of reduction to row-echelon form
self.assertTrue(m1.row_reduce().all_equal(m1.row_reduce().row_reduce()))
