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179 lines
6.7 KiB
179 lines
6.7 KiB
"""Tests for solvers of systems of polynomial equations. """
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from sympy.core.numbers import (I, Integer, Rational)
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from sympy.core.singleton import S
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from sympy.core.symbol import symbols
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from sympy.functions.elementary.miscellaneous import sqrt
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from sympy.polys.domains.rationalfield import QQ
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from sympy.polys.polyerrors import UnsolvableFactorError
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from sympy.polys.polyoptions import Options
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from sympy.polys.polytools import Poly
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from sympy.solvers.solvers import solve
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from sympy.utilities.iterables import flatten
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from sympy.abc import x, y, z
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from sympy.polys import PolynomialError
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from sympy.solvers.polysys import (solve_poly_system,
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solve_triangulated,
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solve_biquadratic, SolveFailed,
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solve_generic)
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from sympy.polys.polytools import parallel_poly_from_expr
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from sympy.testing.pytest import raises
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def test_solve_poly_system():
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assert solve_poly_system([x - 1], x) == [(S.One,)]
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assert solve_poly_system([y - x, y - x - 1], x, y) is None
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assert solve_poly_system([y - x**2, y + x**2], x, y) == [(S.Zero, S.Zero)]
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assert solve_poly_system([2*x - 3, y*Rational(3, 2) - 2*x, z - 5*y], x, y, z) == \
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[(Rational(3, 2), Integer(2), Integer(10))]
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assert solve_poly_system([x*y - 2*y, 2*y**2 - x**2], x, y) == \
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[(0, 0), (2, -sqrt(2)), (2, sqrt(2))]
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assert solve_poly_system([y - x**2, y + x**2 + 1], x, y) == \
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[(-I*sqrt(S.Half), Rational(-1, 2)), (I*sqrt(S.Half), Rational(-1, 2))]
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f_1 = x**2 + y + z - 1
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f_2 = x + y**2 + z - 1
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f_3 = x + y + z**2 - 1
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a, b = sqrt(2) - 1, -sqrt(2) - 1
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assert solve_poly_system([f_1, f_2, f_3], x, y, z) == \
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[(0, 0, 1), (0, 1, 0), (1, 0, 0), (a, a, a), (b, b, b)]
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solution = [(1, -1), (1, 1)]
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assert solve_poly_system([Poly(x**2 - y**2), Poly(x - 1)]) == solution
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assert solve_poly_system([x**2 - y**2, x - 1], x, y) == solution
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assert solve_poly_system([x**2 - y**2, x - 1]) == solution
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assert solve_poly_system(
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[x + x*y - 3, y + x*y - 4], x, y) == [(-3, -2), (1, 2)]
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raises(NotImplementedError, lambda: solve_poly_system([x**3 - y**3], x, y))
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raises(NotImplementedError, lambda: solve_poly_system(
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[z, -2*x*y**2 + x + y**2*z, y**2*(-z - 4) + 2]))
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raises(PolynomialError, lambda: solve_poly_system([1/x], x))
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raises(NotImplementedError, lambda: solve_poly_system(
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[x-1,], (x, y)))
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raises(NotImplementedError, lambda: solve_poly_system(
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[y-1,], (x, y)))
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# solve_poly_system should ideally construct solutions using
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# CRootOf for the following four tests
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assert solve_poly_system([x**5 - x + 1], [x], strict=False) == []
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raises(UnsolvableFactorError, lambda: solve_poly_system(
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[x**5 - x + 1], [x], strict=True))
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assert solve_poly_system([(x - 1)*(x**5 - x + 1), y**2 - 1], [x, y],
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strict=False) == [(1, -1), (1, 1)]
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raises(UnsolvableFactorError,
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lambda: solve_poly_system([(x - 1)*(x**5 - x + 1), y**2-1],
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[x, y], strict=True))
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def test_solve_generic():
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NewOption = Options((x, y), {'domain': 'ZZ'})
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assert solve_generic([x**2 - 2*y**2, y**2 - y + 1], NewOption) == \
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[(-sqrt(-1 - sqrt(3)*I), Rational(1, 2) - sqrt(3)*I/2),
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(sqrt(-1 - sqrt(3)*I), Rational(1, 2) - sqrt(3)*I/2),
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(-sqrt(-1 + sqrt(3)*I), Rational(1, 2) + sqrt(3)*I/2),
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(sqrt(-1 + sqrt(3)*I), Rational(1, 2) + sqrt(3)*I/2)]
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# solve_generic should ideally construct solutions using
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# CRootOf for the following two tests
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assert solve_generic(
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[2*x - y, (y - 1)*(y**5 - y + 1)], NewOption, strict=False) == \
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[(Rational(1, 2), 1)]
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raises(UnsolvableFactorError, lambda: solve_generic(
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[2*x - y, (y - 1)*(y**5 - y + 1)], NewOption, strict=True))
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def test_solve_biquadratic():
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x0, y0, x1, y1, r = symbols('x0 y0 x1 y1 r')
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f_1 = (x - 1)**2 + (y - 1)**2 - r**2
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f_2 = (x - 2)**2 + (y - 2)**2 - r**2
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s = sqrt(2*r**2 - 1)
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a = (3 - s)/2
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b = (3 + s)/2
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assert solve_poly_system([f_1, f_2], x, y) == [(a, b), (b, a)]
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f_1 = (x - 1)**2 + (y - 2)**2 - r**2
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f_2 = (x - 1)**2 + (y - 1)**2 - r**2
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assert solve_poly_system([f_1, f_2], x, y) == \
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[(1 - sqrt((2*r - 1)*(2*r + 1))/2, Rational(3, 2)),
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(1 + sqrt((2*r - 1)*(2*r + 1))/2, Rational(3, 2))]
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query = lambda expr: expr.is_Pow and expr.exp is S.Half
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f_1 = (x - 1 )**2 + (y - 2)**2 - r**2
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f_2 = (x - x1)**2 + (y - 1)**2 - r**2
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result = solve_poly_system([f_1, f_2], x, y)
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assert len(result) == 2 and all(len(r) == 2 for r in result)
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assert all(r.count(query) == 1 for r in flatten(result))
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f_1 = (x - x0)**2 + (y - y0)**2 - r**2
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f_2 = (x - x1)**2 + (y - y1)**2 - r**2
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result = solve_poly_system([f_1, f_2], x, y)
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assert len(result) == 2 and all(len(r) == 2 for r in result)
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assert all(len(r.find(query)) == 1 for r in flatten(result))
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s1 = (x*y - y, x**2 - x)
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assert solve(s1) == [{x: 1}, {x: 0, y: 0}]
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s2 = (x*y - x, y**2 - y)
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assert solve(s2) == [{y: 1}, {x: 0, y: 0}]
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gens = (x, y)
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for seq in (s1, s2):
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(f, g), opt = parallel_poly_from_expr(seq, *gens)
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raises(SolveFailed, lambda: solve_biquadratic(f, g, opt))
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seq = (x**2 + y**2 - 2, y**2 - 1)
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(f, g), opt = parallel_poly_from_expr(seq, *gens)
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assert solve_biquadratic(f, g, opt) == [
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(-1, -1), (-1, 1), (1, -1), (1, 1)]
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ans = [(0, -1), (0, 1)]
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seq = (x**2 + y**2 - 1, y**2 - 1)
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(f, g), opt = parallel_poly_from_expr(seq, *gens)
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assert solve_biquadratic(f, g, opt) == ans
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seq = (x**2 + y**2 - 1, x**2 - x + y**2 - 1)
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(f, g), opt = parallel_poly_from_expr(seq, *gens)
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assert solve_biquadratic(f, g, opt) == ans
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def test_solve_triangulated():
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f_1 = x**2 + y + z - 1
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f_2 = x + y**2 + z - 1
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f_3 = x + y + z**2 - 1
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a, b = sqrt(2) - 1, -sqrt(2) - 1
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assert solve_triangulated([f_1, f_2, f_3], x, y, z) == \
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[(0, 0, 1), (0, 1, 0), (1, 0, 0)]
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dom = QQ.algebraic_field(sqrt(2))
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assert solve_triangulated([f_1, f_2, f_3], x, y, z, domain=dom) == \
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[(0, 0, 1), (0, 1, 0), (1, 0, 0), (a, a, a), (b, b, b)]
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def test_solve_issue_3686():
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roots = solve_poly_system([((x - 5)**2/250000 + (y - Rational(5, 10))**2/250000) - 1, x], x, y)
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assert roots == [(0, S.Half - 15*sqrt(1111)), (0, S.Half + 15*sqrt(1111))]
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roots = solve_poly_system([((x - 5)**2/250000 + (y - 5.0/10)**2/250000) - 1, x], x, y)
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# TODO: does this really have to be so complicated?!
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assert len(roots) == 2
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assert roots[0][0] == 0
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assert roots[0][1].epsilon_eq(-499.474999374969, 1e12)
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assert roots[1][0] == 0
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assert roots[1][1].epsilon_eq(500.474999374969, 1e12)
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