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# from http://eli.thegreenplace.net/2009/03/07/computing-modular-square-roots-in-python/ |
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def modular_sqrt(a, p): |
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""" Find a quadratic residue (mod p) of 'a'. p |
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must be an odd prime. |
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|
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Solve the congruence of the form: |
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x^2 = a (mod p) |
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And returns x. Note that p - x is also a root. |
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0 is returned is no square root exists for |
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these a and p. |
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The Tonelli-Shanks algorithm is used (except |
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for some simple cases in which the solution |
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is known from an identity). This algorithm |
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runs in polynomial time (unless the |
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generalized Riemann hypothesis is false). |
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""" |
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# Simple cases |
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# |
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if legendre_symbol(a, p) != 1: |
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return 0 |
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elif a == 0: |
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return 0 |
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elif p == 2: |
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return p |
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elif p % 4 == 3: |
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return pow(a, (p + 1) / 4, p) |
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|
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# Partition p-1 to s * 2^e for an odd s (i.e. |
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# reduce all the powers of 2 from p-1) |
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# |
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s = p - 1 |
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e = 0 |
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while s % 2 == 0: |
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s /= 2 |
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e += 1 |
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|
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# Find some 'n' with a legendre symbol n|p = -1. |
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# Shouldn't take long. |
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# |
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n = 2 |
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while legendre_symbol(n, p) != -1: |
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n += 1 |
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|
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# Here be dragons! |
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# Read the paper "Square roots from 1; 24, 51, |
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# 10 to Dan Shanks" by Ezra Brown for more |
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# information |
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# |
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|
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# x is a guess of the square root that gets better |
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# with each iteration. |
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# b is the "fudge factor" - by how much we're off |
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# with the guess. The invariant x^2 = ab (mod p) |
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# is maintained throughout the loop. |
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# g is used for successive powers of n to update |
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# both a and b |
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# r is the exponent - decreases with each update |
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# |
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x = pow(a, (s + 1) / 2, p) |
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b = pow(a, s, p) |
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g = pow(n, s, p) |
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r = e |
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while True: |
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t = b |
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m = 0 |
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for m in xrange(r): |
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if t == 1: |
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break |
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t = pow(t, 2, p) |
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if m == 0: |
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return x |
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gs = pow(g, 2 ** (r - m - 1), p) |
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g = (gs * gs) % p |
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x = (x * gs) % p |
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b = (b * g) % p |
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r = m |
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|
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def legendre_symbol(a, p): |
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""" Compute the Legendre symbol a|p using |
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Euler's criterion. p is a prime, a is |
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relatively prime to p (if p divides |
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a, then a|p = 0) |
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|
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Returns 1 if a has a square root modulo |
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p, -1 otherwise. |
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""" |
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ls = pow(a, (p - 1) / 2, p) |
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return -1 if ls == p - 1 else ls |
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