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832 lines
26 KiB
Ruby
832 lines
26 KiB
Ruby
# frozen_string_literal: false
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require 'test/unit'
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require 'matrix'
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class SubMatrix < Matrix
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end
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class TestMatrix < Test::Unit::TestCase
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def setup
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@m1 = Matrix[[1,2,3], [4,5,6]]
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@m2 = Matrix[[1,2,3], [4,5,6]]
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@m3 = @m1.clone
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@m4 = Matrix[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]
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@n1 = Matrix[[2,3,4], [5,6,7]]
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@c1 = Matrix[[Complex(1,2), Complex(0,1), 0], [1, 2, 3]]
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@e1 = Matrix.empty(2,0)
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@e2 = Matrix.empty(0,3)
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@a3 = Matrix[[4, 1, -3], [0, 3, 7], [11, -4, 2]]
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@a5 = Matrix[[2, 0, 9, 3, 9], [8, 7, 0, 1, 9], [7, 5, 6, 6, 5], [0, 7, 8, 3, 0], [7, 8, 2, 3, 1]]
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@b3 = Matrix[[-7, 7, -10], [9, -3, -2], [-1, 3, 9]]
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@rot = Matrix[[0, -1, 0], [1, 0, 0], [0, 0, -1]]
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end
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def test_matrix
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assert_equal(1, @m1[0, 0])
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assert_equal(2, @m1[0, 1])
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assert_equal(3, @m1[0, 2])
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assert_equal(4, @m1[1, 0])
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assert_equal(5, @m1[1, 1])
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assert_equal(6, @m1[1, 2])
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end
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def test_identity
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assert_same @m1, @m1
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assert_not_same @m1, @m2
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assert_not_same @m1, @m3
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assert_not_same @m1, @m4
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assert_not_same @m1, @n1
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end
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def test_equality
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assert_equal @m1, @m1
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assert_equal @m1, @m2
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assert_equal @m1, @m3
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assert_equal @m1, @m4
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assert_not_equal @m1, @n1
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end
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def test_hash_equality
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assert @m1.eql?(@m1)
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assert @m1.eql?(@m2)
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assert @m1.eql?(@m3)
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assert !@m1.eql?(@m4)
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assert !@m1.eql?(@n1)
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hash = { @m1 => :value }
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assert hash.key?(@m1)
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assert hash.key?(@m2)
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assert hash.key?(@m3)
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assert !hash.key?(@m4)
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assert !hash.key?(@n1)
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end
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def test_hash
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assert_equal @m1.hash, @m1.hash
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assert_equal @m1.hash, @m2.hash
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assert_equal @m1.hash, @m3.hash
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end
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def test_uplus
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assert_equal(@m1, +@m1)
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end
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def test_negate
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assert_equal(Matrix[[-1, -2, -3], [-4, -5, -6]], -@m1)
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assert_equal(@m1, -(-@m1))
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end
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def test_rank
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[
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[[0]],
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[[0], [0]],
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[[0, 0], [0, 0]],
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[[0, 0], [0, 0], [0, 0]],
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[[0, 0, 0]],
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[[0, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
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].each do |rows|
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assert_equal 0, Matrix[*rows].rank
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end
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[
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[[1], [0]],
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[[1, 0], [0, 0]],
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[[1, 0], [1, 0]],
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[[0, 0], [1, 0]],
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[[1, 0], [0, 0], [0, 0]],
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[[0, 0], [1, 0], [0, 0]],
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[[0, 0], [0, 0], [1, 0]],
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[[1, 0], [1, 0], [0, 0]],
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[[0, 0], [1, 0], [1, 0]],
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[[1, 0], [1, 0], [1, 0]],
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[[1, 0, 0]],
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[[1, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [1, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [0, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0], [0, 0, 0]],
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[[0, 0, 0], [1, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[1, 0, 0], [1, 0, 0], [0, 0, 0], [0, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [1, 0, 0], [0, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [0, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0], [1, 0, 0], [0, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [1, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0], [0, 0, 0], [1, 0, 0]],
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[[1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0]],
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[[1]],
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[[1], [1]],
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[[1, 1]],
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[[1, 1], [1, 1]],
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[[1, 1], [1, 1], [1, 1]],
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[[1, 1, 1]],
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[[1, 1, 1], [1, 1, 1]],
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[[1, 1, 1], [1, 1, 1], [1, 1, 1]],
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[[1, 1, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1]],
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].each do |rows|
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matrix = Matrix[*rows]
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assert_equal 1, matrix.rank
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assert_equal 1, matrix.transpose.rank
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end
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[
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[[1, 0], [0, 1]],
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[[1, 0], [0, 1], [0, 0]],
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[[1, 0], [0, 1], [0, 1]],
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[[1, 0], [0, 1], [1, 1]],
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[[1, 0, 0], [0, 1, 0]],
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[[1, 0, 0], [0, 0, 1]],
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[[1, 0, 0], [0, 1, 0], [0, 0, 0]],
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[[1, 0, 0], [0, 0, 1], [0, 0, 0]],
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[[1, 0, 0], [0, 0, 0], [0, 1, 0]],
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[[1, 0, 0], [0, 0, 0], [0, 0, 1]],
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[[1, 0], [1, 1]],
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[[1, 2], [1, 1]],
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[[1, 2], [0, 1], [1, 1]],
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].each do |rows|
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m = Matrix[*rows]
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assert_equal 2, m.rank
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assert_equal 2, m.transpose.rank
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end
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[
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[[1, 0, 0], [0, 1, 0], [0, 0, 1]],
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[[1, 1, 0], [0, 1, 1], [1, 0, 1]],
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[[1, 1, 0], [0, 1, 1], [1, 0, 1]],
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[[1, 1, 0], [0, 1, 1], [1, 0, 1], [0, 0, 0]],
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[[1, 1, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]],
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[[1, 1, 1], [1, 1, 2], [1, 3, 1], [4, 1, 1]],
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].each do |rows|
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m = Matrix[*rows]
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assert_equal 3, m.rank
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assert_equal 3, m.transpose.rank
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end
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end
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def test_inverse
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assert_equal(Matrix.empty(0, 0), Matrix.empty.inverse)
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assert_equal(Matrix[[-1, 1], [0, -1]], Matrix[[-1, -1], [0, -1]].inverse)
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assert_raise(ExceptionForMatrix::ErrDimensionMismatch) { @m1.inverse }
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end
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def test_determinant
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assert_equal(0, Matrix[[0,0],[0,0]].determinant)
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assert_equal(45, Matrix[[7,6], [3,9]].determinant)
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assert_equal(-18, Matrix[[2,0,1],[0,-2,2],[1,2,3]].determinant)
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assert_equal(-7, Matrix[[0,0,1],[0,7,6],[1,3,9]].determinant)
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assert_equal(42, Matrix[[7,0,1,0,12],[8,1,1,9,1],[4,0,0,-7,17],[-1,0,0,-4,8],[10,1,1,8,6]].determinant)
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end
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def test_new_matrix
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assert_raise(TypeError) { Matrix[Object.new] }
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o = Object.new
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def o.to_ary; [1,2,3]; end
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assert_equal(@m1, Matrix[o, [4,5,6]])
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end
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def test_round
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a = Matrix[[1.0111, 2.32320, 3.04343], [4.81, 5.0, 6.997]]
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b = Matrix[[1.01, 2.32, 3.04], [4.81, 5.0, 7.0]]
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assert_equal(a.round(2), b)
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end
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def test_rows
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assert_equal(@m1, Matrix.rows([[1, 2, 3], [4, 5, 6]]))
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end
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def test_rows_copy
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rows1 = [[1], [1]]
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rows2 = [[1], [1]]
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m1 = Matrix.rows(rows1, copy = false)
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m2 = Matrix.rows(rows2, copy = true)
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rows1.uniq!
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rows2.uniq!
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assert_equal([[1]], m1.to_a)
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assert_equal([[1], [1]], m2.to_a)
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end
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def test_to_matrix
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assert @m1.equal? @m1.to_matrix
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end
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def test_columns
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assert_equal(@m1, Matrix.columns([[1, 4], [2, 5], [3, 6]]))
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end
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def test_diagonal
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assert_equal(Matrix.empty(0, 0), Matrix.diagonal( ))
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assert_equal(Matrix[[3,0,0],[0,2,0],[0,0,1]], Matrix.diagonal(3, 2, 1))
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assert_equal(Matrix[[4,0,0,0],[0,3,0,0],[0,0,2,0],[0,0,0,1]], Matrix.diagonal(4, 3, 2, 1))
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end
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def test_scalar
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assert_equal(Matrix.empty(0, 0), Matrix.scalar(0, 1))
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assert_equal(Matrix[[2,0,0],[0,2,0],[0,0,2]], Matrix.scalar(3, 2))
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assert_equal(Matrix[[2,0,0,0],[0,2,0,0],[0,0,2,0],[0,0,0,2]], Matrix.scalar(4, 2))
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end
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def test_identity2
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assert_equal(Matrix[[1,0,0],[0,1,0],[0,0,1]], Matrix.identity(3))
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assert_equal(Matrix[[1,0,0],[0,1,0],[0,0,1]], Matrix.unit(3))
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assert_equal(Matrix[[1,0,0],[0,1,0],[0,0,1]], Matrix.I(3))
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assert_equal(Matrix[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1]], Matrix.identity(4))
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end
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def test_zero
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assert_equal(Matrix[[0,0,0],[0,0,0],[0,0,0]], Matrix.zero(3))
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assert_equal(Matrix[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0]], Matrix.zero(4))
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assert_equal(Matrix[[0]], Matrix.zero(1))
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end
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def test_row_vector
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assert_equal(Matrix[[1,2,3,4]], Matrix.row_vector([1,2,3,4]))
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end
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def test_column_vector
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assert_equal(Matrix[[1],[2],[3],[4]], Matrix.column_vector([1,2,3,4]))
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end
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def test_empty
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m = Matrix.empty(2, 0)
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assert_equal(Matrix[ [], [] ], m)
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n = Matrix.empty(0, 3)
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assert_equal(Matrix.columns([ [], [], [] ]), n)
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assert_equal(Matrix[[0, 0, 0], [0, 0, 0]], m * n)
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end
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def test_row
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assert_equal(Vector[1, 2, 3], @m1.row(0))
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assert_equal(Vector[4, 5, 6], @m1.row(1))
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a = []; @m1.row(0) {|x| a << x }
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assert_equal([1, 2, 3], a)
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end
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def test_column
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assert_equal(Vector[1, 4], @m1.column(0))
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assert_equal(Vector[2, 5], @m1.column(1))
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assert_equal(Vector[3, 6], @m1.column(2))
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a = []; @m1.column(0) {|x| a << x }
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assert_equal([1, 4], a)
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end
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def test_collect
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m1 = Matrix.zero(2,2)
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m2 = Matrix.build(3,4){|row, col| 1}
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assert_equal(Matrix[[5, 5, 5, 5], [5, 5, 5, 5], [5, 5, 5, 5]], m2.collect{|e| e * 5})
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assert_equal(Matrix[[7, 0],[0, 7]], m1.collect(:diagonal){|e| e + 7})
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assert_equal(Matrix[[0, 5],[5, 0]], m1.collect(:off_diagonal){|e| e + 5})
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assert_equal(Matrix[[8, 1, 1, 1], [8, 8, 1, 1], [8, 8, 8, 1]], m2.collect(:lower){|e| e + 7})
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assert_equal(Matrix[[1, 1, 1, 1], [-11, 1, 1, 1], [-11, -11, 1, 1]], m2.collect(:strict_lower){|e| e - 12})
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assert_equal(Matrix[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]], m2.collect(:strict_upper){|e| e ** 2})
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assert_equal(Matrix[[-1, -1, -1, -1], [1, -1, -1, -1], [1, 1, -1, -1]], m2.collect(:upper){|e| -e})
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assert_raise(ArgumentError) {m1.collect(:test){|e| e + 7}}
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assert_not_equal(m2, m2.collect {|e| e * 2 })
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end
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def test_minor
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assert_equal(Matrix[[1, 2], [4, 5]], @m1.minor(0..1, 0..1))
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assert_equal(Matrix[[2], [5]], @m1.minor(0..1, 1..1))
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assert_equal(Matrix[[4, 5]], @m1.minor(1..1, 0..1))
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assert_equal(Matrix[[1, 2], [4, 5]], @m1.minor(0, 2, 0, 2))
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assert_equal(Matrix[[4, 5]], @m1.minor(1, 1, 0, 2))
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assert_equal(Matrix[[2], [5]], @m1.minor(0, 2, 1, 1))
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assert_raise(ArgumentError) { @m1.minor(0) }
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end
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def test_first_minor
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assert_equal(Matrix.empty(0, 0), Matrix[[1]].first_minor(0, 0))
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assert_equal(Matrix.empty(0, 2), Matrix[[1, 4, 2]].first_minor(0, 1))
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assert_equal(Matrix[[1, 3]], @m1.first_minor(1, 1))
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assert_equal(Matrix[[4, 6]], @m1.first_minor(0, 1))
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assert_equal(Matrix[[1, 2]], @m1.first_minor(1, 2))
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assert_raise(RuntimeError) { Matrix.empty(0, 0).first_minor(0, 0) }
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assert_raise(ArgumentError) { @m1.first_minor(4, 0) }
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assert_raise(ArgumentError) { @m1.first_minor(0, -1) }
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assert_raise(ArgumentError) { @m1.first_minor(-1, 4) }
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end
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def test_cofactor
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assert_equal(1, Matrix[[1]].cofactor(0, 0))
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assert_equal(9, Matrix[[7,6],[3,9]].cofactor(0, 0))
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assert_equal(0, Matrix[[0,0],[0,0]].cofactor(0, 0))
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assert_equal(3, Matrix[[0,0,1],[0,7,6],[1,3,9]].cofactor(1, 0))
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assert_equal(-21, Matrix[[7,0,1,0,12],[8,1,1,9,1],[4,0,0,-7,17],[-1,0,0,-4,8],[10,1,1,8,6]].cofactor(2, 3))
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assert_raise(RuntimeError) { Matrix.empty(0, 0).cofactor(0, 0) }
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assert_raise(ArgumentError) { Matrix[[0,0],[0,0]].cofactor(-1, 4) }
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assert_raise(ExceptionForMatrix::ErrDimensionMismatch) { Matrix[[2,0,1],[0,-2,2]].cofactor(0, 0) }
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end
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def test_adjugate
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assert_equal(Matrix.empty, Matrix.empty.adjugate)
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assert_equal(Matrix[[1]], Matrix[[5]].adjugate)
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assert_equal(Matrix[[9,-6],[-3,7]], Matrix[[7,6],[3,9]].adjugate)
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assert_equal(Matrix[[45,3,-7],[6,-1,0],[-7,0,0]], Matrix[[0,0,1],[0,7,6],[1,3,9]].adjugate)
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assert_equal(Matrix.identity(5), (@a5.adjugate * @a5) / @a5.det)
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assert_equal(Matrix.I(3), Matrix.I(3).adjugate)
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assert_equal((@a3 * @b3).adjugate, @b3.adjugate * @a3.adjugate)
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assert_equal(4**(@a3.row_count-1) * @a3.adjugate, (4 * @a3).adjugate)
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assert_raise(ExceptionForMatrix::ErrDimensionMismatch) { @m1.adjugate }
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end
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def test_laplace_expansion
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assert_equal(1, Matrix[[1]].laplace_expansion(row: 0))
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assert_equal(45, Matrix[[7,6], [3,9]].laplace_expansion(row: 1))
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assert_equal(0, Matrix[[0,0],[0,0]].laplace_expansion(column: 0))
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assert_equal(-7, Matrix[[0,0,1],[0,7,6],[1,3,9]].laplace_expansion(column: 2))
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assert_equal(Vector[3, -2], Matrix[[Vector[1, 0], Vector[0, 1]], [2, 3]].laplace_expansion(row: 0))
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assert_raise(ExceptionForMatrix::ErrDimensionMismatch) { @m1.laplace_expansion(row: 1) }
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assert_raise(ArgumentError) { Matrix[[7,6], [3,9]].laplace_expansion() }
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assert_raise(ArgumentError) { Matrix[[7,6], [3,9]].laplace_expansion(foo: 1) }
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assert_raise(ArgumentError) { Matrix[[7,6], [3,9]].laplace_expansion(row: 1, column: 1) }
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assert_raise(ArgumentError) { Matrix[[7,6], [3,9]].laplace_expansion(row: 2) }
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assert_raise(ArgumentError) { Matrix[[0,0,1],[0,7,6],[1,3,9]].laplace_expansion(column: -1) }
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assert_raise(RuntimeError) { Matrix.empty(0, 0).laplace_expansion(row: 0) }
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end
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def test_regular?
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assert(Matrix[[1, 0], [0, 1]].regular?)
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assert(Matrix[[1, 0, 0], [0, 1, 0], [0, 0, 1]].regular?)
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assert(!Matrix[[1, 0, 0], [0, 0, 1], [0, 0, 1]].regular?)
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end
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def test_singular?
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assert(!Matrix[[1, 0], [0, 1]].singular?)
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assert(!Matrix[[1, 0, 0], [0, 1, 0], [0, 0, 1]].singular?)
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assert(Matrix[[1, 0, 0], [0, 0, 1], [0, 0, 1]].singular?)
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end
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def test_square?
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assert(Matrix[[1, 0], [0, 1]].square?)
|
|
assert(Matrix[[1, 0, 0], [0, 1, 0], [0, 0, 1]].square?)
|
|
assert(Matrix[[1, 0, 0], [0, 0, 1], [0, 0, 1]].square?)
|
|
assert(!Matrix[[1, 0, 0], [0, 1, 0]].square?)
|
|
end
|
|
|
|
def test_mul
|
|
assert_equal(Matrix[[2,4],[6,8]], Matrix[[2,4],[6,8]] * Matrix.I(2))
|
|
assert_equal(Matrix[[4,8],[12,16]], Matrix[[2,4],[6,8]] * 2)
|
|
assert_equal(Matrix[[4,8],[12,16]], 2 * Matrix[[2,4],[6,8]])
|
|
assert_equal(Matrix[[14,32],[32,77]], @m1 * @m1.transpose)
|
|
assert_equal(Matrix[[17,22,27],[22,29,36],[27,36,45]], @m1.transpose * @m1)
|
|
assert_equal(Vector[14,32], @m1 * Vector[1,2,3])
|
|
o = Object.new
|
|
def o.coerce(m)
|
|
[m, m.transpose]
|
|
end
|
|
assert_equal(Matrix[[14,32],[32,77]], @m1 * o)
|
|
end
|
|
|
|
def test_add
|
|
assert_equal(Matrix[[6,0],[-4,12]], Matrix.scalar(2,5) + Matrix[[1,0],[-4,7]])
|
|
assert_equal(Matrix[[3,5,7],[9,11,13]], @m1 + @n1)
|
|
assert_equal(Matrix[[3,5,7],[9,11,13]], @n1 + @m1)
|
|
assert_equal(Matrix[[2],[4],[6]], Matrix[[1],[2],[3]] + Vector[1,2,3])
|
|
assert_raise(Matrix::ErrOperationNotDefined) { @m1 + 1 }
|
|
o = Object.new
|
|
def o.coerce(m)
|
|
[m, m]
|
|
end
|
|
assert_equal(Matrix[[2,4,6],[8,10,12]], @m1 + o)
|
|
end
|
|
|
|
def test_sub
|
|
assert_equal(Matrix[[4,0],[4,-2]], Matrix.scalar(2,5) - Matrix[[1,0],[-4,7]])
|
|
assert_equal(Matrix[[-1,-1,-1],[-1,-1,-1]], @m1 - @n1)
|
|
assert_equal(Matrix[[1,1,1],[1,1,1]], @n1 - @m1)
|
|
assert_equal(Matrix[[0],[0],[0]], Matrix[[1],[2],[3]] - Vector[1,2,3])
|
|
assert_raise(Matrix::ErrOperationNotDefined) { @m1 - 1 }
|
|
o = Object.new
|
|
def o.coerce(m)
|
|
[m, m]
|
|
end
|
|
assert_equal(Matrix[[0,0,0],[0,0,0]], @m1 - o)
|
|
end
|
|
|
|
def test_div
|
|
assert_equal(Matrix[[0,1,1],[2,2,3]], @m1 / 2)
|
|
assert_equal(Matrix[[1,1],[1,1]], Matrix[[2,2],[2,2]] / Matrix.scalar(2,2))
|
|
o = Object.new
|
|
def o.coerce(m)
|
|
[m, Matrix.scalar(2,2)]
|
|
end
|
|
assert_equal(Matrix[[1,1],[1,1]], Matrix[[2,2],[2,2]] / o)
|
|
end
|
|
|
|
def test_hadamard_product
|
|
assert_equal(Matrix[[1,4], [9,16]], Matrix[[1,2], [3,4]].hadamard_product(Matrix[[1,2], [3,4]]))
|
|
assert_equal(Matrix[[2, 6, 12], [20, 30, 42]], @m1.hadamard_product(@n1))
|
|
o = Object.new
|
|
def o.to_matrix
|
|
Matrix[[1, 2, 3], [-1, 0, 1]]
|
|
end
|
|
assert_equal(Matrix[[1, 4, 9], [-4, 0, 6]], @m1.hadamard_product(o))
|
|
e = Matrix.empty(3, 0)
|
|
assert_equal(e, e.hadamard_product(e))
|
|
e = Matrix.empty(0, 3)
|
|
assert_equal(e, e.hadamard_product(e))
|
|
end
|
|
|
|
def test_exp
|
|
assert_equal(Matrix[[67,96],[48,99]], Matrix[[7,6],[3,9]] ** 2)
|
|
assert_equal(Matrix.I(5), Matrix.I(5) ** -1)
|
|
assert_raise(Matrix::ErrOperationNotDefined) { Matrix.I(5) ** Object.new }
|
|
|
|
m = Matrix[[0,2],[1,0]]
|
|
exp = 0b11101000
|
|
assert_equal(Matrix.scalar(2, 1 << (exp/2)), m ** exp)
|
|
exp = 0b11101001
|
|
assert_equal(Matrix[[0, 2 << (exp/2)], [1 << (exp/2), 0]], m ** exp)
|
|
end
|
|
|
|
def test_det
|
|
assert_equal(Matrix.instance_method(:determinant), Matrix.instance_method(:det))
|
|
end
|
|
|
|
def test_rank2
|
|
assert_equal(2, Matrix[[7,6],[3,9]].rank)
|
|
assert_equal(0, Matrix[[0,0],[0,0]].rank)
|
|
assert_equal(3, Matrix[[0,0,1],[0,7,6],[1,3,9]].rank)
|
|
assert_equal(1, Matrix[[0,1],[0,1],[0,1]].rank)
|
|
assert_equal(2, @m1.rank)
|
|
end
|
|
|
|
def test_trace
|
|
assert_equal(1+5+9, Matrix[[1,2,3],[4,5,6],[7,8,9]].trace)
|
|
end
|
|
|
|
def test_transpose
|
|
assert_equal(Matrix[[1,4],[2,5],[3,6]], @m1.transpose)
|
|
end
|
|
|
|
def test_conjugate
|
|
assert_equal(Matrix[[Complex(1,-2), Complex(0,-1), 0], [1, 2, 3]], @c1.conjugate)
|
|
end
|
|
|
|
def test_eigensystem
|
|
m = Matrix[[1, 2], [3, 4]]
|
|
v, d, v_inv = m.eigensystem
|
|
assert(d.diagonal?)
|
|
assert_equal(v.inv, v_inv)
|
|
assert_equal((v * d * v_inv).round(5), m)
|
|
end
|
|
|
|
def test_imaginary
|
|
assert_equal(Matrix[[2, 1, 0], [0, 0, 0]], @c1.imaginary)
|
|
end
|
|
|
|
def test_lup
|
|
m = Matrix[[1, 2], [3, 4]]
|
|
l, u, p = m.lup
|
|
assert(l.lower_triangular?)
|
|
assert(u.upper_triangular?)
|
|
assert(p.permutation?)
|
|
assert(l * u == p * m)
|
|
assert_equal(m.lup.solve([2, 5]), Vector[1, Rational(1,2)])
|
|
end
|
|
|
|
def test_real
|
|
assert_equal(Matrix[[1, 0, 0], [1, 2, 3]], @c1.real)
|
|
end
|
|
|
|
def test_rect
|
|
assert_equal([Matrix[[1, 0, 0], [1, 2, 3]], Matrix[[2, 1, 0], [0, 0, 0]]], @c1.rect)
|
|
end
|
|
|
|
def test_row_vectors
|
|
assert_equal([Vector[1,2,3], Vector[4,5,6]], @m1.row_vectors)
|
|
end
|
|
|
|
def test_column_vectors
|
|
assert_equal([Vector[1,4], Vector[2,5], Vector[3,6]], @m1.column_vectors)
|
|
end
|
|
|
|
def test_to_s
|
|
assert_equal("Matrix[[1, 2, 3], [4, 5, 6]]", @m1.to_s)
|
|
assert_equal("Matrix.empty(0, 0)", Matrix[].to_s)
|
|
assert_equal("Matrix.empty(1, 0)", Matrix[[]].to_s)
|
|
end
|
|
|
|
def test_inspect
|
|
assert_equal("Matrix[[1, 2, 3], [4, 5, 6]]", @m1.inspect)
|
|
assert_equal("Matrix.empty(0, 0)", Matrix[].inspect)
|
|
assert_equal("Matrix.empty(1, 0)", Matrix[[]].inspect)
|
|
end
|
|
|
|
def test_scalar_add
|
|
s1 = @m1.coerce(1).first
|
|
assert_equal(Matrix[[1]], (s1 + 0) * Matrix[[1]])
|
|
assert_raise(Matrix::ErrOperationNotDefined) { s1 + Vector[0] }
|
|
assert_raise(Matrix::ErrOperationNotDefined) { s1 + Matrix[[0]] }
|
|
o = Object.new
|
|
def o.coerce(x)
|
|
[1, 1]
|
|
end
|
|
assert_equal(2, s1 + o)
|
|
end
|
|
|
|
def test_scalar_sub
|
|
s1 = @m1.coerce(1).first
|
|
assert_equal(Matrix[[1]], (s1 - 0) * Matrix[[1]])
|
|
assert_raise(Matrix::ErrOperationNotDefined) { s1 - Vector[0] }
|
|
assert_raise(Matrix::ErrOperationNotDefined) { s1 - Matrix[[0]] }
|
|
o = Object.new
|
|
def o.coerce(x)
|
|
[1, 1]
|
|
end
|
|
assert_equal(0, s1 - o)
|
|
end
|
|
|
|
def test_scalar_mul
|
|
s1 = @m1.coerce(1).first
|
|
assert_equal(Matrix[[1]], (s1 * 1) * Matrix[[1]])
|
|
assert_equal(Vector[2], s1 * Vector[2])
|
|
assert_equal(Matrix[[2]], s1 * Matrix[[2]])
|
|
o = Object.new
|
|
def o.coerce(x)
|
|
[1, 1]
|
|
end
|
|
assert_equal(1, s1 * o)
|
|
end
|
|
|
|
def test_scalar_div
|
|
s1 = @m1.coerce(1).first
|
|
assert_equal(Matrix[[1]], (s1 / 1) * Matrix[[1]])
|
|
assert_raise(Matrix::ErrOperationNotDefined) { s1 / Vector[0] }
|
|
assert_equal(Matrix[[Rational(1,2)]], s1 / Matrix[[2]])
|
|
o = Object.new
|
|
def o.coerce(x)
|
|
[1, 1]
|
|
end
|
|
assert_equal(1, s1 / o)
|
|
end
|
|
|
|
def test_scalar_pow
|
|
s1 = @m1.coerce(1).first
|
|
assert_equal(Matrix[[1]], (s1 ** 1) * Matrix[[1]])
|
|
assert_raise(Matrix::ErrOperationNotDefined) { s1 ** Vector[0] }
|
|
assert_raise(Matrix::ErrOperationNotImplemented) { s1 ** Matrix[[1]] }
|
|
o = Object.new
|
|
def o.coerce(x)
|
|
[1, 1]
|
|
end
|
|
assert_equal(1, s1 ** o)
|
|
end
|
|
|
|
def test_abs
|
|
s1 = @a3.abs
|
|
assert_equal(s1, Matrix[[4, 1, 3], [0, 3, 7], [11, 4, 2]])
|
|
end
|
|
|
|
def test_hstack
|
|
assert_equal Matrix[[1,2,3,2,3,4,1,2,3], [4,5,6,5,6,7,4,5,6]],
|
|
@m1.hstack(@n1, @m1)
|
|
# Error checking:
|
|
assert_raise(TypeError) { @m1.hstack(42) }
|
|
assert_raise(TypeError) { Matrix.hstack(42, @m1) }
|
|
assert_raise(Matrix::ErrDimensionMismatch) { @m1.hstack(Matrix.identity(3)) }
|
|
assert_raise(Matrix::ErrDimensionMismatch) { @e1.hstack(@e2) }
|
|
# Corner cases:
|
|
assert_equal @m1, @m1.hstack
|
|
assert_equal @e1, @e1.hstack(@e1)
|
|
assert_equal Matrix.empty(0,6), @e2.hstack(@e2)
|
|
assert_equal SubMatrix, SubMatrix.hstack(@e1).class
|
|
# From Vectors:
|
|
assert_equal Matrix[[1, 3],[2, 4]], Matrix.hstack(Vector[1,2], Vector[3, 4])
|
|
end
|
|
|
|
def test_vstack
|
|
assert_equal Matrix[[1,2,3], [4,5,6], [2,3,4], [5,6,7], [1,2,3], [4,5,6]],
|
|
@m1.vstack(@n1, @m1)
|
|
# Error checking:
|
|
assert_raise(TypeError) { @m1.vstack(42) }
|
|
assert_raise(TypeError) { Matrix.vstack(42, @m1) }
|
|
assert_raise(Matrix::ErrDimensionMismatch) { @m1.vstack(Matrix.identity(2)) }
|
|
assert_raise(Matrix::ErrDimensionMismatch) { @e1.vstack(@e2) }
|
|
# Corner cases:
|
|
assert_equal @m1, @m1.vstack
|
|
assert_equal Matrix.empty(4,0), @e1.vstack(@e1)
|
|
assert_equal @e2, @e2.vstack(@e2)
|
|
assert_equal SubMatrix, SubMatrix.vstack(@e1).class
|
|
# From Vectors:
|
|
assert_equal Matrix[[1],[2],[3]], Matrix.vstack(Vector[1,2], Vector[3])
|
|
end
|
|
|
|
def test_combine
|
|
x = Matrix[[6, 6], [4, 4]]
|
|
y = Matrix[[1, 2], [3, 4]]
|
|
assert_equal Matrix[[5, 4], [1, 0]], Matrix.combine(x, y) {|a, b| a - b}
|
|
assert_equal Matrix[[5, 4], [1, 0]], x.combine(y) {|a, b| a - b}
|
|
# Without block
|
|
assert_equal Matrix[[5, 4], [1, 0]], Matrix.combine(x, y).each {|a, b| a - b}
|
|
# With vectors
|
|
assert_equal Matrix[[111], [222]], Matrix.combine(Matrix[[1], [2]], Vector[10,20], Vector[100,200], &:sum)
|
|
# Basic checks
|
|
assert_raise(Matrix::ErrDimensionMismatch) { @m1.combine(x) { raise } }
|
|
# Edge cases
|
|
assert_equal Matrix.empty, Matrix.combine{ raise }
|
|
assert_equal Matrix.empty(3,0), Matrix.combine(Matrix.empty(3,0), Matrix.empty(3,0)) { raise }
|
|
assert_equal Matrix.empty(0,3), Matrix.combine(Matrix.empty(0,3), Matrix.empty(0,3)) { raise }
|
|
end
|
|
|
|
def test_set_element
|
|
src = Matrix[
|
|
[1, 2, 3, 4],
|
|
[5, 6, 7, 8],
|
|
[9, 10, 11, 12],
|
|
]
|
|
rows = {
|
|
range: [1..2, 1...3, 1..-1, -2..2, 1.., 1..., -2.., -2...],
|
|
int: [2, -1],
|
|
invalid: [-4, 4, -4..2, 2..-4, 0...0, 2..0, -4..],
|
|
}
|
|
columns = {
|
|
range: [2..3, 2...4, 2..-1, -2..3, 2.., 2..., -2..., -2..],
|
|
int: [3, -1],
|
|
invalid: [-5, 5, -5..2, 2..-5, 0...0, -5..],
|
|
}
|
|
values = {
|
|
element: 42,
|
|
matrix: Matrix[[20, 21], [22, 23]],
|
|
vector: Vector[30, 31],
|
|
row: Matrix[[60, 61]],
|
|
column: Matrix[[50], [51]],
|
|
mismatched_matrix: Matrix.identity(3),
|
|
mismatched_vector: Vector[0, 1, 2, 3],
|
|
}
|
|
solutions = {
|
|
[:int, :int] => {
|
|
element: Matrix[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 42]],
|
|
},
|
|
[:range , :int] => {
|
|
element: Matrix[[1, 2, 3, 4], [5, 6, 7, 42], [9, 10, 11, 42]],
|
|
column: Matrix[[1, 2, 3, 4], [5, 6, 7, 50], [9, 10, 11, 51]],
|
|
vector: Matrix[[1, 2, 3, 4], [5, 6, 7, 30], [9, 10, 11, 31]],
|
|
},
|
|
[:int, :range] => {
|
|
element: Matrix[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 42, 42]],
|
|
row: Matrix[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 60, 61]],
|
|
vector: Matrix[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 30, 31]],
|
|
},
|
|
[:range , :range] => {
|
|
element: Matrix[[1, 2, 3, 4], [5, 6, 42, 42], [9, 10, 42, 42]],
|
|
matrix: Matrix[[1, 2, 3, 4], [5, 6, 20, 21], [9, 10, 22, 23]],
|
|
},
|
|
}
|
|
solutions.default = Hash.new(IndexError)
|
|
|
|
rows.each do |row_style, row_arguments|
|
|
row_arguments.each do |row_argument|
|
|
columns.each do |column_style, column_arguments|
|
|
column_arguments.each do |column_argument|
|
|
values.each do |value_type, value|
|
|
expected = solutions[[row_style, column_style]][value_type] || Matrix::ErrDimensionMismatch
|
|
|
|
result = src.clone
|
|
begin
|
|
result[row_argument, column_argument] = value
|
|
assert_equal expected, result,
|
|
"m[#{row_argument.inspect}][#{column_argument.inspect}] = #{value.inspect} failed"
|
|
rescue Exception => e
|
|
raise if e.class != expected
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|
|
|
|
def test_map!
|
|
m1 = Matrix.zero(2,2)
|
|
m2 = Matrix.build(3,4){|row, col| 1}
|
|
m3 = Matrix.zero(3,5).freeze
|
|
m4 = Matrix.empty.freeze
|
|
|
|
assert_equal Matrix[[5, 5, 5, 5], [5, 5, 5, 5], [5, 5, 5, 5]], m2.map!{|e| e * 5}
|
|
assert_equal Matrix[[7, 0],[0, 7]], m1.map!(:diagonal){|e| e + 7}
|
|
assert_equal Matrix[[7, 5],[5, 7]], m1.map!(:off_diagonal){|e| e + 5}
|
|
assert_equal Matrix[[12, 5, 5, 5], [12, 12, 5, 5], [12, 12, 12, 5]], m2.map!(:lower){|e| e + 7}
|
|
assert_equal Matrix[[12, 5, 5, 5], [0, 12, 5, 5], [0, 0, 12, 5]], m2.map!(:strict_lower){|e| e - 12}
|
|
assert_equal Matrix[[12, 25, 25, 25], [0, 12, 25, 25], [0, 0, 12, 25]], m2.map!(:strict_upper){|e| e ** 2}
|
|
assert_equal Matrix[[-12, -25, -25, -25], [0, -12, -25, -25], [0, 0, -12, -25]], m2.map!(:upper){|e| -e}
|
|
assert_equal m1, m1.map!{|e| e ** 2 }
|
|
assert_equal m2, m2.map!(:lower){ |e| e - 3 }
|
|
assert_raise(ArgumentError) {m1.map!(:test){|e| e + 7}}
|
|
assert_raise(FrozenError) { m3.map!{|e| e * 2} }
|
|
assert_raise(FrozenError) { m4.map!{} }
|
|
end
|
|
|
|
def test_freeze
|
|
m = Matrix[[1, 2, 3],[4, 5, 6]]
|
|
f = m.freeze
|
|
assert_equal true, f.frozen?
|
|
assert m.equal?(f)
|
|
assert m.equal?(f.freeze)
|
|
assert_raise(FrozenError){ m[0, 1] = 56 }
|
|
assert_equal m.dup, m
|
|
end
|
|
|
|
def test_clone
|
|
a = Matrix[[4]]
|
|
def a.foo
|
|
42
|
|
end
|
|
|
|
m = a.clone
|
|
m[0, 0] = 2
|
|
assert_equal a, m * 2
|
|
assert_equal 42, m.foo
|
|
|
|
a.freeze
|
|
m = a.clone
|
|
assert m.frozen?
|
|
assert_equal 42, m.foo
|
|
end
|
|
|
|
def test_dup
|
|
a = Matrix[[4]]
|
|
def a.foo
|
|
42
|
|
end
|
|
a.freeze
|
|
|
|
m = a.dup
|
|
m[0, 0] = 2
|
|
assert_equal a, m * 2
|
|
assert !m.respond_to?(:foo)
|
|
end
|
|
|
|
def test_eigenvalues_and_eigenvectors_symmetric
|
|
m = Matrix[
|
|
[8, 1],
|
|
[1, 8]
|
|
]
|
|
values = m.eigensystem.eigenvalues
|
|
assert_in_epsilon(7.0, values[0])
|
|
assert_in_epsilon(9.0, values[1])
|
|
vectors = m.eigensystem.eigenvectors
|
|
assert_in_epsilon(-vectors[0][0], vectors[0][1])
|
|
assert_in_epsilon(vectors[1][0], vectors[1][1])
|
|
end
|
|
|
|
def test_eigenvalues_and_eigenvectors_nonsymmetric
|
|
m = Matrix[
|
|
[8, 1],
|
|
[4, 5]
|
|
]
|
|
values = m.eigensystem.eigenvalues
|
|
assert_in_epsilon(9.0, values[0])
|
|
assert_in_epsilon(4.0, values[1])
|
|
vectors = m.eigensystem.eigenvectors
|
|
assert_in_epsilon(vectors[0][0], vectors[0][1])
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assert_in_epsilon(-4 * vectors[1][0], vectors[1][1])
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end
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|
|
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def test_unitary?
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assert_equal true, @rot.unitary?
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assert_equal true, ((0+1i) * @rot).unitary?
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|
assert_equal false, @a3.unitary?
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|
assert_raise(Matrix::ErrDimensionMismatch) { @m1.unitary? }
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|
end
|
|
|
|
def test_orthogonal
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|
assert_equal true, @rot.orthogonal?
|
|
assert_equal false, ((0+1i) * @rot).orthogonal?
|
|
assert_equal false, @a3.orthogonal?
|
|
assert_raise(Matrix::ErrDimensionMismatch) { @m1.orthogonal? }
|
|
end
|
|
|
|
def test_adjoint
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|
assert_equal(Matrix[[(1-2i), 1], [(0-1i), 2], [0, 3]], @c1.adjoint)
|
|
assert_equal(Matrix.empty(0,2), @e1.adjoint)
|
|
end
|
|
|
|
=begin
|
|
def test_ractor
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|
obj1 = @m1.freeze
|
|
|
|
obj2 = Ractor.new obj1 do |obj|
|
|
obj
|
|
end.take
|
|
assert_same obj1, obj2
|
|
end if defined?(Ractor)
|
|
=end
|
|
end
|