def test_det():
a = DeterminantOnlyMatrix(2, 3, [1, 2, 3, 4, 5, 6])
raises(NonSquareMatrixError, lambda: a.det())
z = zeros_Determinant(2)
ey = eye_Determinant(2)
assert z.det() == 0
assert ey.det() == 1
x = Symbol('x')
a = DeterminantOnlyMatrix(0, 0, [])
b = DeterminantOnlyMatrix(1, 1, [5])
c = DeterminantOnlyMatrix(2, 2, [1, 2, 3, 4])
d = DeterminantOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 8])
e = DeterminantOnlyMatrix(
4, 4, [x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14])
# the method keyword for `det` doesn't kick in until 4x4 matrices,
# so there is no need to test all methods on smaller ones
assert a.det() == 1
assert b.det() == 5
assert c.det() == -2
assert d.det() == 3
assert e.det() == 4 * x - 24
assert e.det(method='bareiss') == 4 * x - 24
assert e.det(method='berkowitz') == 4 * x - 24
def test_det():
a = DeterminantOnlyMatrix(2, 3, [1, 2, 3, 4, 5, 6])
raises(NonSquareMatrixError, lambda: a.det())
z = zeros_Determinant(2)
ey = eye_Determinant(2)
assert z.det() == 0
assert ey.det() == 1
x = Symbol('x')
a = DeterminantOnlyMatrix(0, 0, [])
b = DeterminantOnlyMatrix(1, 1, [5])
c = DeterminantOnlyMatrix(2, 2, [1, 2, 3, 4])
d = DeterminantOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 8])
e = DeterminantOnlyMatrix(
4, 4, [x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14])
from sympy.abc import i, j, k, l, m, n
f = DeterminantOnlyMatrix(3, 3, [i, l, m, 0, j, n, 0, 0, k])
g = DeterminantOnlyMatrix(3, 3, [i, 0, 0, l, j, 0, m, n, k])
h = DeterminantOnlyMatrix(3, 3, [x**3, 0, 0, i, x**-1, 0, j, k, x**-2])
# the method keyword for `det` doesn't kick in until 4x4 matrices,
# so there is no need to test all methods on smaller ones
assert a.det() == 1
assert b.det() == 5
assert c.det() == -2
assert d.det() == 3
assert e.det() == 4 * x - 24
assert e.det(method='bareiss') == 4 * x - 24
assert e.det(method='berkowitz') == 4 * x - 24
assert f.det() == i * j * k
assert g.det() == i * j * k
assert h.det() == 1
raises(ValueError, lambda: e.det(iszerofunc="test"))
def test_det():
a = DeterminantOnlyMatrix(2,3,[1,2,3,4,5,6])
raises(NonSquareMatrixError, lambda: a.det())
z = zeros_Determinant(2)
ey = eye_Determinant(2)
assert z.det() == 0
assert ey.det() == 1
x = Symbol('x')
a = DeterminantOnlyMatrix(0,0,[])
b = DeterminantOnlyMatrix(1,1,[5])
c = DeterminantOnlyMatrix(2,2,[1,2,3,4])
d = DeterminantOnlyMatrix(3,3,[1,2,3,4,5,6,7,8,8])
e = DeterminantOnlyMatrix(4,4,[x,1,2,3,4,5,6,7,2,9,10,11,12,13,14,14])
# the method keyword for `det` doesn't kick in until 4x4 matrices,
# so there is no need to test all methods on smaller ones
assert a.det() == 1
assert b.det() == 5
assert c.det() == -2
assert d.det() == 3
assert e.det() == 4*x - 24
assert e.det(method='bareiss') == 4*x - 24
assert e.det(method='berkowitz') == 4*x - 24
raises(ValueError, lambda: e.det(iszerofunc="test"))
