Coverage for local/lib/python2.7/site-packages/sage/coding/guruswami_sudan/gs_decoder.py : 93%

r""" 

Guruswami-Sudan decoder for (Generalized) Reed-Solomon codes 

REFERENCES: 

- [GS1999]_ 

- [Nie2013]_ 

AUTHORS: 

- Johan S. R. Nielsen, original implementation (see [Nie]_ for details) 

- David Lucas, ported the original implementation in Sage 

""" 

#***************************************************************************** 

# Copyright (C) 2015 David Lucas <david.lucas@inria.fr> 

# 2015 Johan S. R. Nielsen <jsrn@jsrn.dk> 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 2 of the License, or 

# (at your option) any later version. 

# http://www.gnu.org/licenses/ 

#***************************************************************************** 

from sage.coding.grs import GeneralizedReedSolomonCode 

from sage.modules.free_module_element import vector 

from sage.rings.integer_ring import ZZ 

from sage.coding.decoder import Decoder 

from sage.coding.guruswami_sudan.interpolation import gs_interpolation_linalg, gs_interpolation_lee_osullivan 

from sage.coding.guruswami_sudan.utils import (johnson_radius, 

gilt, 

solve_degree2_to_integer_range) 

from sage.functions.other import binomial, floor, sqrt 

def n_k_params(C, n_k): 

r""" 

Internal helper function for the GRSGuruswamiSudanDecoder class for allowing to 

specify either a GRS code `C` or the length and dimensions `n, k` directly, 

in all the static functions. 

If neither `C` or `n,k` were specified to those functions, an appropriate 

error should be raised. Otherwise, `n, k` of the code or the supplied tuple 

directly is returned. 

INPUT: 

- ``C`` -- A GRS code or `None` 

- ``n_k`` -- A tuple `(n,k)` being length and dimension of a GRS code, or `None`. 

OUTPUT: 

- ``n_k`` -- A tuple `(n,k)` being length and dimension of a GRS code. 

EXAMPLES:: 

sage: from sage.coding.guruswami_sudan.gs_decoder import n_k_params 

sage: n_k_params(None, (10, 5)) 

(10, 5) 

sage: C = codes.GeneralizedReedSolomonCode(GF(11).list()[:10], 5) 

sage: n_k_params(C,None) 

(10, 5) 

sage: n_k_params(None,None) 

Traceback (most recent call last): 

... 

ValueError: Please provide either the code or its length and dimension 

sage: n_k_params(C,(12, 2)) 

Traceback (most recent call last): 

... 

ValueError: Please provide only the code or its length and dimension 

""" 

if C is not None and n_k is not None: 

raise ValueError("Please provide only the code or its length and dimension") 

elif C is None and n_k is None: 

raise ValueError("Please provide either the code or its length and dimension") 

elif C is not None: 

return C.length(), C.dimension() 

elif n_k is not None and not isinstance(n_k, tuple): 

raise ValueError("n_k has to be a tuple") 

elif n_k is not None: 

return n_k 

def roth_ruckenstein_root_finder(p, maxd=None, precision=None): 

""" 

Wrapper for Roth-Ruckenstein algorithm to compute the roots of a polynomial 

with coefficients in ``F[x]``. 

TESTS:: 

sage: from sage.coding.guruswami_sudan.gs_decoder import roth_ruckenstein_root_finder 

sage: R.<x> = GF(13)[] 

sage: S.<y> = R[] 

sage: p = (y - x^2 - x - 1) * (y + x + 1) 

sage: roth_ruckenstein_root_finder(p, maxd = 2) 

[12*x + 12, x^2 + x + 1] 

""" 

gens = p.parent().gens() 

if len(gens) == 2: 

p = p.polynomial(gens[1]) 

return p.roots(multiplicities=False, degree_bound=maxd, algorithm="Roth-Ruckenstein") 

def alekhnovich_root_finder(p, maxd=None, precision=None): 

""" 

Wrapper for Alekhnovich's algorithm to compute the roots of a polynomial 

with coefficients in ``F[x]``. 

TESTS:: 

sage: from sage.coding.guruswami_sudan.gs_decoder import alekhnovich_root_finder 

sage: R.<x> = GF(13)[] 

sage: S.<y> = R[] 

sage: p = (y - x^2 - x - 1) * (y + x + 1) 

sage: alekhnovich_root_finder(p, maxd = 2) 

[12*x + 12, x^2 + x + 1] 

""" 

gens = p.parent().gens() 

if len(gens) == 2: 

p = p.polynomial(gens[1]) 

return p.roots(multiplicities=False, degree_bound=maxd, algorithm="Alekhnovich") 

class GRSGuruswamiSudanDecoder(Decoder): 

r""" 

The Guruswami-Sudan list-decoding algorithm for decoding Generalized 

Reed-Solomon codes. 

The Guruswami-Sudan algorithm is a polynomial time algorithm to decode 

beyond half the minimum distance of the code. It can decode up to the 

Johnson radius which is `n - \sqrt(n(n-d))`, where `n, d` is the length, 

respectively minimum distance of the RS code. See [GS1999]_ for more details. 

It is a list-decoder meaning that it returns a list of all closest codewords 

or their corresponding message polynomials. Note that the output of the 

``decode_to_code`` and ``decode_to_message`` methods are therefore lists. 

The algorithm has two free parameters, the list size and the multiplicity, 

and these determine how many errors the method will correct: generally, 

higher decoding radius requires larger values of these parameters. To decode 

all the way to the Johnson radius, one generally needs values in the order 

of `O(n^2)`, while decoding just one error less requires just `O(n)`. 

This class has static methods for computing choices of parameters given the 

decoding radius or vice versa. 

The Guruswami-Sudan consists of two computationally intensive steps: 

Interpolation and Root finding, either of which can be completed in multiple 

ways. This implementation allows choosing the sub-algorithms among currently 

implemented possibilities, or supplying your own. 

INPUT: 

- ``code`` -- A code associated to this decoder. 

- ``tau`` -- (default: ``None``) an integer, the number of errors one wants the 

Guruswami-Sudan algorithm to correct. 

- ``parameters`` -- (default: ``None``) a pair of integers, where: 

- the first integer is the multiplicity parameter, and 

- the second integer is the list size parameter. 

- ``interpolation_alg`` -- (default: ``None``) the interpolation algorithm 

that will be used. The following possibilities are currently available: 

* ``"LinearAlgebra"`` -- uses a linear system solver. 

* ``"LeeOSullivan"`` -- uses Lee O'Sullivan method based on row reduction of a matrix 

* ``None`` -- one of the above will be chosen based on the size of the 

code and the parameters. 

You can also supply your own function to perform the interpolation. See 

NOTE section for details on the signature of this function. 

- ``root_finder`` -- (default: ``None``) the rootfinding algorithm that will 

be used. The following possibilities are currently available: 

* ``"Alekhnovich"`` -- uses Alekhnovich's algorithm. 

* ``"RothRuckenstein"`` -- uses Roth-Ruckenstein algorithm. 

* ``None`` -- one of the above will be chosen based on the size of the 

code and the parameters. 

You can also supply your own function to perform the interpolation. See 

NOTE section for details on the signature of this function. 

.. NOTE:: 

One has to provide either ``tau`` or ``parameters``. If neither are given, 

an exception will be raised. 

If one provides a function as ``root_finder``, its signature has to be: 

``my_rootfinder(Q, maxd=default_value, precision=default_value)``. `Q` 

will be given as an element of `F[x][y]`. The function must return the 

roots as a list of polynomials over a univariate polynomial ring. See 

:meth:`roth_ruckenstein_root_finder` for an example. 

If one provides a function as ``interpolation_alg``, its signature has 

to be: ``my_inter(interpolation_points, tau, s_and_l, wy)``. See 

:meth:`sage.coding.guruswami_sudan.interpolation.gs_interpolation_linalg` 

for an example. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau = 97) 

sage: D 

Guruswami-Sudan decoder for [250, 70, 181] Reed-Solomon Code over GF(251) decoding 97 errors with parameters (1, 2) 

One can specify multiplicity and list size instead of ``tau``:: 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, parameters = (1,2)) 

sage: D 

Guruswami-Sudan decoder for [250, 70, 181] Reed-Solomon Code over GF(251) decoding 97 errors with parameters (1, 2) 

One can pass a method as ``root_finder`` (works also for ``interpolation_alg``):: 

sage: from sage.coding.guruswami_sudan.gs_decoder import roth_ruckenstein_root_finder 

sage: rf = roth_ruckenstein_root_finder 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, parameters = (1,2), root_finder = rf) 

sage: D 

Guruswami-Sudan decoder for [250, 70, 181] Reed-Solomon Code over GF(251) decoding 97 errors with parameters (1, 2) 

If one wants to use the native Sage algorithms for the root finding step, 

one can directly pass the string given in the ``Input`` block of this class. 

This works for ``interpolation_alg`` as well:: 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, parameters = (1,2), root_finder="RothRuckenstein") 

sage: D 

Guruswami-Sudan decoder for [250, 70, 181] Reed-Solomon Code over GF(251) decoding 97 errors with parameters (1, 2) 

Actually, we can construct the decoder from ``C`` directly:: 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D 

Guruswami-Sudan decoder for [250, 70, 181] Reed-Solomon Code over GF(251) decoding 97 errors with parameters (1, 2) 

""" 

####################### static methods ############################### 

@staticmethod 

def parameters_given_tau(tau, C = None, n_k = None): 

r""" 

Returns the smallest possible multiplicity and list size given the 

given parameters of the code and decoding radius. 

INPUT: 

- ``tau`` -- an integer, number of errors one wants the Guruswami-Sudan 

algorithm to correct 

- ``C`` -- (default: ``None``) a :class:`GeneralizedReedSolomonCode` 

- ``n_k`` -- (default: ``None``) a pair of integers, respectively the 

length and the dimension of the :class:`GeneralizedReedSolomonCode` 

OUTPUT: 

- ``(s, l)`` -- a pair of integers, where: 

- ``s`` is the multiplicity parameter, and 

- ``l`` is the list size parameter. 

.. NOTE:: 

One should to provide either ``C`` or ``(n, k)``. If neither or both 

are given, an exception will be raised. 

EXAMPLES:: 

sage: tau, n, k = 97, 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k)) 

(1, 2) 

Another example with a bigger decoding radius:: 

sage: tau, n, k = 118, 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k)) 

(47, 89) 

Choosing a decoding radius which is too large results in an errors:: 

sage: tau = 200 

sage: codes.decoders.GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k)) 

Traceback (most recent call last): 

... 

ValueError: The decoding radius must be less than the Johnson radius (which is 118.66) 

""" 

n,k = n_k_params(C, n_k) 

johnson = johnson_radius(n, n - k + 1) 

if tau >= johnson: 

raise ValueError("The decoding radius must be less than the Johnson radius (which is %.2f)" 

% float(johnson)) 

# We start with l=1 and check if a satisfiable s can be chosen. We keep 

# increasing l by 1 until this is the case. The governing equation is 

# s*(s+1)/2 * n < (l+1)*s*(n-tau) - l*(l+1)/2*(k-1) 

# See [GS1999]_ 

def try_l(l): 

(mins,maxs) = solve_degree2_to_integer_range(n, n-2*(l+1)*(n-tau), (k-1)*l*(l+1)) 

if maxs > 0 and maxs >= mins: 

return max(1, mins) 

else: 

return None 

s, l = None, 0 

while s is None: 

l += 1 

s = try_l(l) 

return (s, l) 

@staticmethod 

def guruswami_sudan_decoding_radius(C = None, n_k = None, l = None, s = None): 

r""" 

Returns the maximal decoding radius of the Guruswami-Sudan decoder and 

the parameter choices needed for this. 

If ``s`` is set but ``l`` is not it will return the best decoding radius using this ``s`` 

alongside with the required ``l``. Vice versa for ``l``. If both are 

set, it returns the decoding radius given this parameter choice. 

INPUT: 

- ``C`` -- (default: ``None``) a :class:`GeneralizedReedSolomonCode` 

- ``n_k`` -- (default: ``None``) a pair of integers, respectively the 

length and the dimension of the :class:`GeneralizedReedSolomonCode` 

- ``s`` -- (default: ``None``) an integer, the multiplicity parameter of Guruswami-Sudan algorithm 

- ``l`` -- (default: ``None``) an integer, the list size parameter 

.. NOTE:: 

One has to provide either ``C`` or ``n_k``. If none or both are 

given, an exception will be raised. 

OUTPUT: 

- ``(tau, (s, l))`` -- where 

- ``tau`` is the obtained decoding radius, and 

- ``s, ell`` are the multiplicity parameter, respectively list size 

parameter giving this radius. 

EXAMPLES:: 

sage: n, k = 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder.guruswami_sudan_decoding_radius(n_k = (n, k)) 

(118, (47, 89)) 

One parameter can be restricted at a time:: 

sage: n, k = 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder.guruswami_sudan_decoding_radius(n_k = (n, k), s=3) 

(109, (3, 5)) 

sage: codes.decoders.GRSGuruswamiSudanDecoder.guruswami_sudan_decoding_radius(n_k = (n, k), l=7) 

(111, (4, 7)) 

The function can also just compute the decoding radius given the parameters:: 

sage: codes.decoders.GRSGuruswamiSudanDecoder.guruswami_sudan_decoding_radius(n_k = (n, k), s=2, l=6) 

(92, (2, 6)) 

""" 

n,k = n_k_params(C, n_k) 

def get_tau(s,l): 

"Return the decoding radius given this s and l" 

if s<=0 or l<=0: 

return -1 

return gilt(n - n/2*(s+1)/(l+1) - (k-1)/2*l/s) 

if l is None and s is None: 

tau = gilt(johnson_radius(n, n - k + 1)) 

return (tau, GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k))) 

if l is not None and s is not None: 

return (get_tau(s,l), (s,l)) 

# Either s or l is set, but not both. First a shared local function 

def find_integral_max(real_max, f): 

"""Given a real (local) maximum of a function `f`, return that of 

the integers around `real_max` which gives the (local) integral 

maximum, and the value of at that point.""" 

if real_max in ZZ: 

int_max = Integer(real_max) 

return (int_max, f(int_max)) 

else: 

x_f = floor(real_max) 

x_c = x_f + 1 

f_f, f_c = f(x_f), f(x_c) 

return (x_f, f_f) if f_f >= f_c else (x_c, f_c) 

if s is not None: 

# maximising tau under condition 

# n*(s+1 choose 2) < (ell+1)*s*(n-tau) - (ell+1 choose 2)*(k-1) 

# knowing n and s, we can just minimise 

# ( n*(s+1 choose 2) + (ell+1 choose 2)*(k-1) )/(ell+1) 

# Differentiating and setting to zero yields ell best choice: 

lmax = sqrt(n*s*(s+1.)/(k-1.)) - 1. 

#the best integral value will be 

(l,tau) = find_integral_max(lmax, lambda l: get_tau(s,l)) 

#Note that we have not proven that this ell is minimal in integral 

#sense! It just seems that this most often happens 

return (tau,(s,l)) 

if l is not None: 

# Acquired similarly to when restricting s 

smax = sqrt((k-1.)/n*l*(l+1.)) 

(s,tau) = find_integral_max(smax, lambda s: get_tau(s,l)) 

return (tau, (s,l)) 

@staticmethod 

def _suitable_parameters_given_tau(tau, C = None, n_k = None): 

r""" 

Return quite good multiplicity and list size parameters for the code 

parameters and the decoding radius. 

These parameters are not guaranteed to be the best ones possible 

for the provided ``tau``, but arise from easily-evaluated closed 

expressions and are very good approximations of the best ones. 

See [Nie2013]_ pages 53-54, proposition 3.11 for details. 

INPUT: 

- ``tau`` -- an integer, number of errors one wants the Guruswami-Sudan 

algorithm to correct 

- ``C`` -- (default: ``None``) a :class:`GeneralizedReedSolomonCode` 

- ``n_k`` -- (default: ``None``) a pair of integers, respectively the 

length and the dimension of the :class:`GeneralizedReedSolomonCode` 

OUTPUT: 

- ``(s, l)`` -- a pair of integers, where: 

- ``s`` is the multiplicity parameter, and 

- ``l`` is the list size parameter. 

.. NOTE:: 

One has to provide either ``C`` or ``(n, k)``. If neither or both 

are given, an exception will be raised. 

EXAMPLES: 

The following is an example where the parameters are optimal:: 

sage: tau = 98 

sage: n, k = 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder._suitable_parameters_given_tau(tau, n_k = (n, k)) 

(2, 3) 

sage: codes.decoders.GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k)) 

(2, 3) 

This is an example where they are not:: 

sage: tau = 97 

sage: n, k = 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder._suitable_parameters_given_tau(tau, n_k = (n, k)) 

(2, 3) 

sage: codes.decoders.GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k)) 

(1, 2) 

We can provide a GRS code instead of `n` and `k` directly:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: codes.decoders.GRSGuruswamiSudanDecoder._suitable_parameters_given_tau(tau, C = C) 

(2, 3) 

Another one with a bigger ``tau``:: 

sage: codes.decoders.GRSGuruswamiSudanDecoder._suitable_parameters_given_tau(118, C = C) 

(47, 89) 

""" 

n,k = n_k_params(C, n_k) 

w = k - 1 

atau = n - tau 

smin = tau * w / (atau ** 2 - n * w) 

s = floor(1 + smin) 

D = (s - smin) * (atau ** 2 - n * w) * s + (w**2) /4 

l = floor(atau / w * s + 0.5 - sqrt(D)/w) 

return (s, l) 

@staticmethod 

def gs_satisfactory(tau, s, l, C = None, n_k = None): 

r""" 

Returns whether input parameters satisfy the governing equation of 

Guruswami-Sudan. 

See [Nie2013]_ page 49, definition 3.3 and proposition 3.4 for details. 

INPUT: 

- ``tau`` -- an integer, number of errors one expects Guruswami-Sudan algorithm 

to correct 

- ``s`` -- an integer, multiplicity parameter of Guruswami-Sudan algorithm 

- ``l`` -- an integer, list size parameter 

- ``C`` -- (default: ``None``) a :class:`GeneralizedReedSolomonCode` 

- ``n_k`` -- (default: ``None``) a tuple of integers, respectively the 

length and the dimension of the :class:`GeneralizedReedSolomonCode` 

.. NOTE:: 

One has to provide either ``C`` or ``(n, k)``. If none or both are 

given, an exception will be raised. 

EXAMPLES:: 

sage: tau, s, l = 97, 1, 2 

sage: n, k = 250, 70 

sage: codes.decoders.GRSGuruswamiSudanDecoder.gs_satisfactory(tau, s, l, n_k = (n, k)) 

True 

One can also pass a GRS code:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: codes.decoders.GRSGuruswamiSudanDecoder.gs_satisfactory(tau, s, l, C = C) 

True 

Another example where ``s`` and ``l`` does not satisfy the equation:: 

sage: tau, s, l = 118, 47, 80 

sage: codes.decoders.GRSGuruswamiSudanDecoder.gs_satisfactory(tau, s, l, n_k = (n, k)) 

False 

If one provides both ``C`` and ``n_k`` an exception is returned:: 

sage: tau, s, l = 97, 1, 2 

sage: n, k = 250, 70 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: codes.decoders.GRSGuruswamiSudanDecoder.gs_satisfactory(tau, s, l, C = C, n_k = (n, k)) 

Traceback (most recent call last): 

... 

ValueError: Please provide only the code or its length and dimension 

Same if one provides none of these:: 

sage: codes.decoders.GRSGuruswamiSudanDecoder.gs_satisfactory(tau, s, l) 

Traceback (most recent call last): 

... 

ValueError: Please provide either the code or its length and dimension 

""" 

n,k = n_k_params(C, n_k) 

return l > 0 and s > 0 and n * s * (s+1) < (l+1) * (2*s*(n-tau) - (k-1) * l) 

####################### decoder itself ############################### 

def __init__(self, code, tau = None, parameters = None, interpolation_alg = None, root_finder = None): 

r""" 

TESTS: 

If neither ``tau`` nor ``parameters`` is given, an exception is returned:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C) 

Traceback (most recent call last): 

... 

ValueError: Specify either tau or parameters 

If one provides something else than one of the allowed strings or a method as ``interpolation_alg``, 

an exception is returned:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau = 97, interpolation_alg = 42) 

Traceback (most recent call last): 

... 

ValueError: Please provide a method or one of the allowed strings for interpolation_alg 

Same thing for ``root_finder``:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau = 97, root_finder = "FortyTwo") 

Traceback (most recent call last): 

... 

ValueError: Please provide a method or one of the allowed strings for root_finder 

If one provides a full set of parameters (tau, s and l) which are not satisfactory, an 

error message is returned:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau = 142, parameters=(1, 2)) 

Traceback (most recent call last): 

... 

ValueError: Impossible parameters for the Guruswami-Sudan algorithm 

If ``code`` is not a GRS code, an error is raised:: 

sage: C = codes.random_linear_code(GF(11), 10, 4) 

sage: codes.decoders.GRSGuruswamiSudanDecoder(C, tau = 2) 

Traceback (most recent call last): 

... 

ValueError: code has to be a generalized Reed-Solomon code 

""" 

if not isinstance(code, GeneralizedReedSolomonCode): 

raise ValueError("code has to be a generalized Reed-Solomon code") 

n, k = code.length(), code.dimension() 

if tau and parameters: 

if not GRSGuruswamiSudanDecoder.gs_satisfactory(tau, parameters[0], parameters[1], C = code): 

raise ValueError("Impossible parameters for the Guruswami-Sudan algorithm") 

self._tau, self._s, self._ell = tau, parameters[0], parameters[1] 

elif tau: 

self._tau = tau 

self._s, self._ell = GRSGuruswamiSudanDecoder.parameters_given_tau(tau, n_k = (n, k)) 

elif parameters: 

self._s = parameters[0] 

self._ell = parameters[1] 

(self._tau,_) = GRSGuruswamiSudanDecoder.guruswami_sudan_decoding_radius(C = code, s=self._s, l=self._ell) 

else: 

raise ValueError("Specify either tau or parameters") 

if hasattr(interpolation_alg, '__call__'): 

self._interpolation_alg = interpolation_alg 

elif interpolation_alg is None or interpolation_alg == "LeeOSullivan": 

self._interpolation_alg = gs_interpolation_lee_osullivan 

elif interpolation_alg == "LinearAlgebra": 

self._interpolation_alg = gs_interpolation_linalg 

else: 

raise ValueError("Please provide a method or one of the allowed strings for interpolation_alg") 

if hasattr(root_finder, '__call__'): 

self._root_finder = root_finder 

elif root_finder == "RothRuckenstein": 

self._root_finder = roth_ruckenstein_root_finder 

elif root_finder is None or root_finder == "Alekhnovich": 

self._root_finder = alekhnovich_root_finder 

else: 

raise ValueError("Please provide a method or one of the allowed strings for root_finder") 

super(GRSGuruswamiSudanDecoder, self).__init__(code, code.ambient_space(), "EvaluationPolynomial") 

def _repr_(self): 

r""" 

Returns a string representation of ``self``. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D 

Guruswami-Sudan decoder for [250, 70, 181] Reed-Solomon Code over GF(251) decoding 97 errors with parameters (1, 2) 

""" 

return "Guruswami-Sudan decoder for %s decoding %s errors with parameters %s" % (self.code(), self.decoding_radius(), (self.multiplicity(), self.list_size())) 

def _latex_(self): 

r""" 

Returns a string representation of ``self``. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: latex(D) 

\textnormal{Guruswami-Sudan decoder for } [250, 70, 181] \textnormal{ Reed-Solomon Code over } \Bold{F}_{251}\textnormal{ decoding }97\textnormal{ errors with parameters }(1, 2) 

""" 

return "\\textnormal{Guruswami-Sudan decoder for } %s\\textnormal{ decoding }%s\\textnormal{ errors with parameters }%s" % (self.code()._latex_(), self.decoding_radius(), (self.multiplicity(), self.list_size())) 

def __eq__(self, other): 

r""" 

Tests equality between GRSGuruswamiSudanDecoder objects. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D1 = C.decoder("GuruswamiSudan", tau = 97) 

sage: D2 = C.decoder("GuruswamiSudan", tau = 97) 

sage: D1.__eq__(D2) 

True 

""" 

return isinstance(other, GRSGuruswamiSudanDecoder)\ 

and self.code() == other.code()\ 

and self.decoding_radius() == other.decoding_radius()\ 

and self.multiplicity() == other.multiplicity()\ 

and self.list_size() == other.list_size()\ 

and self.interpolation_algorithm() == other.interpolation_algorithm()\ 

and self.rootfinding_algorithm() == other.rootfinding_algorithm() 

def interpolation_algorithm(self): 

r""" 

Returns the interpolation algorithm that will be used. 

Remember that its signature has to be: 

``my_inter(interpolation_points, tau, s_and_l, wy)``. 

See :meth:`sage.coding.guruswami_sudan.interpolation.gs_interpolation_linalg` 

for an example. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D.interpolation_algorithm() 

<function gs_interpolation_lee_osullivan at 0x...> 

""" 

return self._interpolation_alg 

def rootfinding_algorithm(self): 

r""" 

Returns the rootfinding algorithm that will be used. 

Remember that its signature has to be: 

``my_rootfinder(Q, maxd=default_value, precision=default_value)``. 

See :meth:`roth_ruckenstein_root_finder` 

for an example. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D.rootfinding_algorithm() 

<function alekhnovich_root_finder at 0x...> 

""" 

return self._root_finder 

def parameters(self): 

r""" 

Returns the multiplicity and list size parameters of ``self``. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D.parameters() 

(1, 2) 

""" 

return (self._s, self._ell) 

def multiplicity(self): 

r""" 

Returns the multiplicity parameter of ``self``. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D.multiplicity() 

1 

""" 

return self._s 

def list_size(self): 

r""" 

Returns the list size parameter of ``self``. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D.list_size() 

2 

""" 

return self._ell 

def decode_to_message(self, r): 

r""" 

Decodes ``r`` to the list of polynomials whose encoding by 

:meth:`self.code()` is within Hamming distance 

:meth:`self.decoding_radius` of ``r``. 

INPUT: 

- ``r`` -- a received word, i.e. a vector in `F^n` where `F` and `n` are 

the base field respectively length of :meth:`self.code`. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(17).list()[:15], 6) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau=5) 

sage: F.<x> = GF(17)[] 

sage: m = 13*x^4 + 7*x^3 + 10*x^2 + 14*x + 3 

sage: c = D.connected_encoder().encode(m) 

sage: r = vector(GF(17), [3,13,12,0,0,7,5,1,8,11,15,12,14,7,10]) 

sage: (c-r).hamming_weight() 

5 

sage: messages = D.decode_to_message(r) 

sage: len(messages) 

2 

sage: m in messages 

True 

TESTS: 

If one has provided a method as a ``root_finder`` or a ``interpolation_alg`` which 

does not fit the allowed signature, an exception will be raised:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(17).list()[:15], 6) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau=5, root_finder=next_prime) 

sage: F.<x> = GF(17)[] 

sage: m = 9*x^5 + 10*x^4 + 9*x^3 + 7*x^2 + 15*x + 2 

sage: c = D.connected_encoder().encode(m) 

sage: r = vector(GF(17), [3,1,4,2,14,1,0,4,13,12,1,16,1,13,15]) 

sage: m in D.decode_to_message(r) 

Traceback (most recent call last): 

... 

ValueError: The provided root-finding algorithm has a wrong signature. See the documentation of `codes.decoders.GRSGuruswamiSudanDecoder.rootfinding_algorithm()` for details 

""" 

return [self.connected_encoder().unencode(c) for c in self.decode_to_code(r)] 

def decode_to_code(self, r): 

r""" 

Return the list of all codeword within radius :meth:`self.decoding_radius` of the received word `r`. 

INPUT: 

- ``r`` -- a received word, i.e. a vector in `F^n` where `F` and `n` are 

the base field respectively length of :meth:`self.code`. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(17).list()[:15], 6) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau=5) 

sage: c = vector(GF(17), [3,13,12,0,0,7,5,1,8,11,1,9,4,12,14]) 

sage: c in C 

True 

sage: r = vector(GF(17), [3,13,12,0,0,7,5,1,8,11,15,12,14,7,10]) 

sage: r in C 

False 

sage: codewords = D.decode_to_code(r) 

sage: len(codewords) 

2 

sage: c in codewords 

True 

TESTS: 

Check that :trac:`21347` is fixed:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(13).list()[:10], 3) 

sage: D = codes.decoders.GRSGuruswamiSudanDecoder(C, tau = 4) 

sage: c = vector(GF(13), [6, 8, 2, 1, 5, 1, 2, 8, 6, 9]) 

sage: e = vector(GF(13), [1, 0, 0, 1, 1, 0, 0, 1, 0, 1]) 

sage: D.decode_to_code(c+e) 

[] 

""" 

C = self.code() 

n, k, d, alphas, colmults, s, l = C.length(), C.dimension(), C.minimum_distance(),\ 

C.evaluation_points(), C.column_multipliers(), self.multiplicity(), self.list_size() 

tau = self.decoding_radius() 

## SETUP INTERPOLATION PROBLEM 

wy = k-1 

points = [(alphas[i], r[i]/colmults[i]) for i in range(0,len(alphas))] 

## SOLVE INTERPOLATION 

try: 

Q = self.interpolation_algorithm()(points, tau, (s,l), wy) 

except TypeError: 

raise ValueError("The provided interpolation algorithm has a wrong signature. See the documentation of `codes.decoders.GRSGuruswamiSudanDecoder.interpolation_algorithm()` for details") 

## EXAMINE THE FACTORS AND CONVERT TO CODEWORDS 

try: 

polynomials = self.rootfinding_algorithm()(Q, maxd = wy) 

except TypeError: 

raise ValueError("The provided root-finding algorithm has a wrong signature. See the documentation of `codes.decoders.GRSGuruswamiSudanDecoder.rootfinding_algorithm()` for details") 

if not polynomials: 

return [] 

E = self.connected_encoder() 

codewords = [ E.encode(f) for f in polynomials] 

# Root-finding might find spurious roots. Return only the ones which give nearby codewords 

return [ c for c in codewords if (r - c).hamming_weight() <= tau ] 

def decoding_radius(self): 

r""" 

Returns the maximal number of errors that ``self`` is able to correct. 

EXAMPLES:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", tau = 97) 

sage: D.decoding_radius() 

97 

An example where tau is not one of the inputs to the constructor:: 

sage: C = codes.GeneralizedReedSolomonCode(GF(251).list()[:250], 70) 

sage: D = C.decoder("GuruswamiSudan", parameters = (2,4)) 

sage: D.decoding_radius() 

105 

""" 

return self._tau 

####################### types ############################### 

GeneralizedReedSolomonCode._registered_decoders["GuruswamiSudan"] = GRSGuruswamiSudanDecoder 

GRSGuruswamiSudanDecoder._decoder_type = {"list-decoder", "always-succeed", "hard-decision"}