Changing coefficients modulo p in a SymPy polynomial

I took a cryptography course this semester in graduate school, and once of the topics we covered was NTRU. I am trying to code this in pure Python, purely as a hobby. When I attempt to find a polynomial's inverse modulo p (in this example p = 3), SymPy always returns negative coefficients, when I want strictly positive coefficients. Here is the code I have. I'll explain what I mean.

import sympy as sym
from sympy import GF

def make_poly(N,coeffs):
    """Create a polynomial in x."""
    x = sym.Symbol('x')
    coeffs = list(reversed(coeffs))
    y = 0
    for i in range(N):
        y += (x**i)*coeffs[i]
    y = sym.poly(y)
    return y

N = 7
p = 3
q = 41
f = [1,0,-1,1,1,0,-1]

f_poly = make_poly(N,f)

x = sym.Symbol('x')

Fp = sym.polys.polytools.invert(f_poly,x**N-1,domain=GF(p))
Fq = sym.polys.polytools.invert(f_poly,x**N-1,domain=GF(q))

print('\nf =',f_poly)
print('\nFp =',Fp)
print('\nFq =',Fq)

In this code, f_poly is a polynomial with degree at most 6 (its degree is at most N-1), whose coefficients come from the list f (the first entry in f is the coefficient on the highest power of x, continuing in descending order).

Now, I want to find the inverse polynomial of f_poly in the convolution polynomial ring Rp = (Z/pZ)[x]/(x^N - 1)(Z/pZ)[x] (similarly for q). The output of the print statements at the bottom are:

f = Poly(x**6 - x**4 + x**3 + x**2 - 1, x, domain='ZZ')
Fp = Poly(x**6 - x**5 + x**3 + x**2 + x + 1, x, modulus=3)
Fq = Poly(8*x**6 - 15*x**5 - 10*x**4 - 20*x**3 - x**2 + 2*x - 4, x, modulus=41)

These polynomials are correct in modulus, but I would like to have positive coefficients everywhere, as later on in the algorithm there is some centerlifting involved, so I need to have positive coefficients. The results should be

Fp = x^6 + 2x^5 + x^3 + x^2 + x + 1
Fq = 8x^6 + 26x^5 + 31x^4 + 21x^3 + 40x^2 + 2x + 37

The answers I'm getting are correct in modulus, but I think that SymPy's invert is changing some of the coefficients to negative variants, instead of staying inside the mod.

Is there any way I can update the coefficients of this polynomial to have only positive coefficients in modulus, or is this just an artifact of SymPy's function? I want to keep the SymPy Poly format so I can use some of its embedded functions later on down the line. Any insight would be much appreciated!

Solution

This seems to be down to how the finite field object implemented in GF "wraps" integers around the given modulus. The default behavior is symmetric, which means that any integer x for which x % modulo <= modulo//2 maps to x % modulo, and otherwise maps to (x % modulo) - modulo. So GF(10)(5) == 5, whereas GF(10)(6) == -4. You can make GF always map to positive numbers instead by passing the symmetric=False argument:

import sympy as sym
from sympy import GF

def make_poly(N, coeffs):
    """Create a polynomial in x."""
    x = sym.Symbol('x')
    coeffs = list(reversed(coeffs))
    y = 0
    for i in range(N):
        y += (x**i)*coeffs[i]
    y = sym.poly(y)
    return y

N = 7
p = 3
q = 41
f = [1,0,-1,1,1,0,-1]

f_poly = make_poly(N,f)

x = sym.Symbol('x')

Fp = sym.polys.polytools.invert(f_poly,x**N-1,domain=GF(p, symmetric=False))
Fq = sym.polys.polytools.invert(f_poly,x**N-1,domain=GF(q, symmetric=False))

print('\nf =',f_poly)
print('\nFp =',Fp)
print('\nFq =',Fq)

Now you'll get the polynomials you wanted. The output from the print(...) statements at the end of the example should look like:

f = Poly(x**6 - x**4 + x**3 + x**2 - 1, x, domain='ZZ')
Fp = Poly(x**6 + 2*x**5 + x**3 + x**2 + x + 1, x, modulus=3)
Fq = Poly(8*x**6 + 26*x**5 + 31*x**4 + 21*x**3 + 40*x**2 + 2*x + 37, x, modulus=41)

Mostly as a note for my own reference, here's how you would get Fp using Mathematica:

Fp = PolynomialMod[Algebra`PolynomialPowerMod`PolynomialPowerMod[x^6 - x^4 + x^3 + x^2 - 1, -1, x, x^7 - 1], 3]

output:

1 + x + x^2 + x^3 + 2 x^5 + x^6