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: HypertoroidalFourierFilterTest.m
    path of file: ./repos/libDirectional/lib/tests/filters
    
    the code of the file until where you have to start completion: classdef HypertoroidalFourierFilterTest < matlab.unittest.TestCase
    methods(Test)
        function testInitialization(testCase)
            filter = HypertoroidalFourierFilter([23, 23]);
            testCase.verifyClass(filter.hfd, 'HypertoroidalFourierDistribution');
            testCase.verifySize(filter.hfd.C, [23, 23]);
            testCase.verifyEqual(filter.hfd.transformation, 'sqrt');
            testCase.verifyEqual(filter.hfd.C(12, 12), 1/sqrt(4*pi^2), 'AbsTol', 1E-10);
            filter = HypertoroidalFourierFilter([23, 25, 27
    
function p = fTrans(varargin)
                assert(all(diff(cellfun(@numel, varargin)) == 0), ...
                    'All input arguments need to be equally sized. Use ndgrid to generate appropriate input arguments.');
                fout = cell(1, this.hfd.dim);
                % Second d dimenisons are for x(k), propagate through f.
                [fout{:}] = f(varargin{this.hfd.dim+1:2*this.hfd.dim});
                % Concatenate on the last dimension to ensure that it is iterated
                % through LAST when using reshape.
                ws = cat(ndims(varargin{1}), varargin{1:this.hfd.dim}) - cat(ndims(varargin{1}), fout{:});
                % Flatten tensor to dim x (numel(varargin{1}) tensor for
                % evaluation in pdf of the noise. Because the dimension is
                % iterated through last, first reshape it into
                % (numel(varargin{1}) and then transpose to move the
                % concatenated input arguments to the first dimension.
                wsReshaped = reshape(ws, [], noiseDistribution.dim)';
                pdfvals = noiseDistribution.pdf(wsReshaped);
                p = reshape(pdfvals, size(varargin{1})); % Restore to input size
            end