from sympy.matrices.sparsetools import _doktocsr, _csrtodok, banded from sympy.matrices.dense import (Matrix, eye, ones, zeros) from sympy.matrices import SparseMatrix from sympy.testing.pytest import raises def test_doktocsr(): a = SparseMatrix([[1, 2, 0, 0], [0, 3, 9, 0], [0, 1, 4, 0]]) b = SparseMatrix(4, 6, [10, 20, 0, 0, 0, 0, 0, 30, 0, 40, 0, 0, 0, 0, 50, 60, 70, 0, 0, 0, 0, 0, 0, 80]) c = SparseMatrix(4, 4, [0, 0, 0, 0, 0, 12, 0, 2, 15, 0, 12, 0, 0, 0, 0, 4]) d = SparseMatrix(10, 10, {(1, 1): 12, (3, 5): 7, (7, 8): 12}) e = SparseMatrix([[0, 0, 0], [1, 0, 2], [3, 0, 0]]) f = SparseMatrix(7, 8, {(2, 3): 5, (4, 5):12}) assert _doktocsr(a) == [[1, 2, 3, 9, 1, 4], [0, 1, 1, 2, 1, 2], [0, 2, 4, 6], [3, 4]] assert _doktocsr(b) == [[10, 20, 30, 40, 50, 60, 70, 80], [0, 1, 1, 3, 2, 3, 4, 5], [0, 2, 4, 7, 8], [4, 6]] assert _doktocsr(c) == [[12, 2, 15, 12, 4], [1, 3, 0, 2, 3], [0, 0, 2, 4, 5], [4, 4]] assert _doktocsr(d) == [[12, 7, 12], [1, 5, 8], [0, 0, 1, 1, 2, 2, 2, 2, 3, 3, 3], [10, 10]] assert _doktocsr(e) == [[1, 2, 3], [0, 2, 0], [0, 0, 2, 3], [3, 3]] assert _doktocsr(f) == [[5, 12], [3, 5], [0, 0, 0, 1, 1, 2, 2, 2], [7, 8]] def test_csrtodok(): h = [[5, 7, 5], [2, 1, 3], [0, 1, 1, 3], [3, 4]] g = [[12, 5, 4], [2, 4, 2], [0, 1, 2, 3], [3, 7]] i = [[1, 3, 12], [0, 2, 4], [0, 2, 3], [2, 5]] j = [[11, 15, 12, 15], [2, 4, 1, 2], [0, 1, 1, 2, 3, 4], [5, 8]] k = [[1, 3], [2, 1], [0, 1, 1, 2], [3, 3]] m = _csrtodok(h) assert isinstance(m, SparseMatrix) assert m == SparseMatrix(3, 4, {(0, 2): 5, (2, 1): 7, (2, 3): 5}) assert _csrtodok(g) == SparseMatrix(3, 7, {(0, 2): 12, (1, 4): 5, (2, 2): 4}) assert _csrtodok(i) == SparseMatrix([[1, 0, 3, 0, 0], [0, 0, 0, 0, 12]]) assert _csrtodok(j) == SparseMatrix(5, 8, {(0, 2): 11, (2, 4): 15, (3, 1): 12, (4, 2): 15}) assert _csrtodok(k) == SparseMatrix(3, 3, {(0, 2): 1, (2, 1): 3}) def test_banded(): raises(TypeError, lambda: banded()) raises(TypeError, lambda: banded(1)) raises(TypeError, lambda: banded(1, 2)) raises(TypeError, lambda: banded(1, 2, 3)) raises(TypeError, lambda: banded(1, 2, 3, 4)) raises(ValueError, lambda: banded({0: (1, 2)}, rows=1)) raises(ValueError, lambda: banded({0: (1, 2)}, cols=1)) raises(ValueError, lambda: banded(1, {0: (1, 2)})) raises(ValueError, lambda: banded(2, 1, {0: (1, 2)})) raises(ValueError, lambda: banded(1, 2, {0: (1, 2)})) assert isinstance(banded(2, 4, {}), SparseMatrix) assert banded(2, 4, {}) == zeros(2, 4) assert banded({0: 0, 1: 0}) == zeros(0) assert banded({0: Matrix([1, 2])}) == Matrix([1, 2]) assert banded({1: [1, 2, 3, 0], -1: [4, 5, 6]}) == \ banded({1: (1, 2, 3), -1: (4, 5, 6)}) == \ Matrix([ [0, 1, 0, 0], [4, 0, 2, 0], [0, 5, 0, 3], [0, 0, 6, 0]]) assert banded(3, 4, {-1: 1, 0: 2, 1: 3}) == \ Matrix([ [2, 3, 0, 0], [1, 2, 3, 0], [0, 1, 2, 3]]) s = lambda d: (1 + d)**2 assert banded(5, {0: s, 2: s}) == \ Matrix([ [1, 0, 1, 0, 0], [0, 4, 0, 4, 0], [0, 0, 9, 0, 9], [0, 0, 0, 16, 0], [0, 0, 0, 0, 25]]) assert banded(2, {0: 1}) == \ Matrix([ [1, 0], [0, 1]]) assert banded(2, 3, {0: 1}) == \ Matrix([ [1, 0, 0], [0, 1, 0]]) vert = Matrix([1, 2, 3]) assert banded({0: vert}, cols=3) == \ Matrix([ [1, 0, 0], [2, 1, 0], [3, 2, 1], [0, 3, 2], [0, 0, 3]]) assert banded(4, {0: ones(2)}) == \ Matrix([ [1, 1, 0, 0], [1, 1, 0, 0], [0, 0, 1, 1], [0, 0, 1, 1]]) raises(ValueError, lambda: banded({0: 2, 1: ones(2)}, rows=5)) assert banded({0: 2, 2: (ones(2),)*3}) == \ Matrix([ [2, 0, 1, 1, 0, 0, 0, 0], [0, 2, 1, 1, 0, 0, 0, 0], [0, 0, 2, 0, 1, 1, 0, 0], [0, 0, 0, 2, 1, 1, 0, 0], [0, 0, 0, 0, 2, 0, 1, 1], [0, 0, 0, 0, 0, 2, 1, 1]]) raises(ValueError, lambda: banded({0: (2,)*5, 1: (ones(2),)*3})) u2 = Matrix([[1, 1], [0, 1]]) assert banded({0: (2,)*5, 1: (u2,)*3}) == \ Matrix([ [2, 1, 1, 0, 0, 0, 0], [0, 2, 1, 0, 0, 0, 0], [0, 0, 2, 1, 1, 0, 0], [0, 0, 0, 2, 1, 0, 0], [0, 0, 0, 0, 2, 1, 1], [0, 0, 0, 0, 0, 0, 1]]) assert banded({0:(0, ones(2)), 2: 2}) == \ Matrix([ [0, 0, 2], [0, 1, 1], [0, 1, 1]]) raises(ValueError, lambda: banded({0: (0, ones(2)), 1: 2})) assert banded({0: 1}, cols=3) == banded({0: 1}, rows=3) == eye(3) assert banded({1: 1}, rows=3) == Matrix([ [0, 1, 0], [0, 0, 1], [0, 0, 0]])