You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: score.m
    path of file: ./repos/tensor_toolbox/@ktensor
    
    the code of the file until where you have to start completion: function [best_score, A, flag, best_perm] = score(A,B,varargin)
%SCORE Checks if two ktensors match except for permutation.
%   
%   SCORE(A,B) returns the score of the match between A and B where
%   A is trying to be matched against B.
%  
%   We define matching as follows. If A and B are single component ktensors 
%   that have been normalized so that their weights are lambda_a and
%   lambda_b, then the score is defined as
%   
%      score = penalty * (a1'*b1) * (a2'*b2) * ... * (aR'*bR),
%     
%   where the penalty is defined by the lambda values such that
%
%      penalty = 1 - abs(lambda_a - lambda_b) / max(lamdba_a, lambda_b).
%
%   The score of multi-components ktensors is a normalized sum of the
%   scores across the best permutation of the components of A. A can have
%   more components than B --- any extra components are ignored in terms of
%   the matching score.     
%
%   [SCORE,A] = SCORE(...) also returns A which has been normalized
%   and permuted to best match B. 
%
%   [SCORE,A,FLAG] = SCORE(...) also returns a boolean to indicate
%   a match according to a user-specified threshold.
%
%   [SCORE,A,FLAG,PERM] = SCORE(...) also returns the permutation
%   of the components of A that was used to best match B. 
%
%   SCORE(A,B,'param',value,...) takes the following parameters...
%
%      'lambda_penalty' - Boolean indicating whether or not to consider the
%      lambda values in the calculations. {true}
%
%      'threshold' - Threshold specified in the formula above for
%      deteriming a match. {0.99^N where N = ndims(A)}.
%
%      'greedy' - Boolean indicating whether or not to consider all
%      possible matchings (expotentially expensive) or just do a greedy
%      matching. {false}
%
%   See also KTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.

% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Under the terms of Contract
% DE-AC04-94AL85000, there is a non-exclusive license for use of this
% work by or on behalf of the U.S. Government. Export of this data may
% require a license from the United States Government.

    
function [best_score, A, flag, best_perm] = score(A,B,varargin)
%SCORE Checks if two ktensors match except for permutation.
%   
%   SCORE(A,B) returns the score of the match between A and B where
%   A is trying to be matched against B.
%  
%   We define matching as follows. If A and B are single component ktensors 
%   that have been normalized so that their weights are lambda_a and
%   lambda_b, then the score is defined as
%   
%      score = penalty * (a1'*b1) * (a2'*b2) * ... * (aR'*bR),
%     
%   where the penalty is defined by the lambda values such that
%
%      penalty = 1 - abs(lambda_a - lambda_b) / max(lamdba_a, lambda_b).
%
%   The score of multi-components ktensors is a normalized sum of the
%   scores across the best permutation of the components of A. A can have
%   more components than B --- any extra components are ignored in terms of
%   the matching score.     
%
%   [SCORE,A] = SCORE(...) also returns A which has been normalized
%   and permuted to best match B. 
%
%   [SCORE,A,FLAG] = SCORE(...) also returns a boolean to indicate
%   a match according to a user-specified threshold.
%
%   [SCORE,A,FLAG,PERM] = SCORE(...) also returns the permutation
%   of the components of A that was used to best match B. 
%
%   SCORE(A,B,'param',value,...) takes the following parameters...
%
%      'lambda_penalty' - Boolean indicating whether or not to consider the
%      lambda values in the calculations. {true}
%
%      'threshold' - Threshold specified in the formula above for
%      deteriming a match. {0.99^N where N = ndims(A)}.
%
%      'greedy' - Boolean indicating whether or not to consider all
%      possible matchings (expotentially expensive) or just do a greedy
%      matching. {false}
%
%   See also KTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.

% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Under the terms of Contract
% DE-AC04-94AL85000, there is a non-exclusive license for use of this
% work by or on behalf of the U.S. Government. Export of this data may
% require a license from the United States Government.
% The full license terms can be found in the file LICENSE.txt

%  E. Acar & T. Kolda, 2010.

%% Make sure A and B are ktensors
if ~isa(A,'ktensor')
    A = ktensor(A);
end