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: spm_cfg_eeg_tf_rescale.m
    path of file: ./repos/malini/Codes/deconvolution - model/spm8/config
    
    the code of the file until where you have to start completion: function S = spm_cfg_eeg_tf_rescale
% configuration file for rescaling spectrograms
%__________________________________________________________________________
% Copyright (C) 2009 Wellcome Trust Centre for Neuroimaging

% Will Penny
% $Id: spm_cfg_eeg_tf_rescale.m 4287 2011-04-04 13:55:54Z vladimir $

%--------------------------------------------------------------------------
% D
%--------------------------------------------------------------------------
D        = cfg_files;
D.tag    = 'D';
D.name   = 'File Name';
D.filter = 'mat';
D.num    = [1 1];
D.help   = {'Select the M/EEG mat file.'};

%--------------------------------------------------------------------------
% Db
%--------------------------------------------------------------------------
Db        = cfg_files;
Db.tag    = 'Db';
Db.name   = 'External baseline dataset';
Db.filter = 'mat';
Db.num    = [0 1];
Db.val    = {[]};
Db.help   = {'Select the baseline M/EEG mat file. Leave empty to use the input dataset'};

%--------------------------------------------------------------------------
% Sbaseline
%--------------------------------------------------------------------------
Sbaseline         = cfg_entry;

    
function S = spm_cfg_eeg_tf_rescale
% configuration file for rescaling spectrograms
%__________________________________________________________________________
% Copyright (C) 2009 Wellcome Trust Centre for Neuroimaging

% Will Penny
% $Id: spm_cfg_eeg_tf_rescale.m 4287 2011-04-04 13:55:54Z vladimir $

%--------------------------------------------------------------------------
% D
%--------------------------------------------------------------------------
D        = cfg_files;
D.tag    = 'D';
D.name   = 'File Name';
D.filter = 'mat';
D.num    = [1 1];
D.help   = {'Select the M/EEG mat file.'};

%--------------------------------------------------------------------------
% Db
%--------------------------------------------------------------------------
Db        = cfg_files;
Db.tag    = 'Db';
Db.name   = 'External baseline dataset';
Db.filter = 'mat';
Db.num    = [0 1];
Db.val    = {[]};
Db.help   = {'Select the baseline M/EEG mat file. Leave empty to use the input dataset'};

%--------------------------------------------------------------------------
% Sbaseline
%--------------------------------------------------------------------------
Sbaseline         = cfg_entry;
Sbaseline.tag     = 'Sbaseline';
Sbaseline.name    = 'Baseline';
Sbaseline.help    = {'Start and stop of baseline [ms].'};
Sbaseline.strtype = 'e';
Sbaseline.num     = [1 2];

%--------------------------------------------------------------------------
% baseline
%--------------------------------------------------------------------------
baseline         = cfg_branch;
baseline.tag     = 'baseline';
baseline.name    = 'Baseline';
baseline.help    = {'Baseline parameters.'};
baseline.val     = {Sbaseline, Db};

%--------------------------------------------------------------------------
% method_logr
%--------------------------------------------------------------------------
method_logr      = cfg_branch;
method_logr.tag  = 'LogR';
method_logr.name = 'Log Ratio';
method_logr.val  = {baseline};
method_logr.help = {'Log Ratio.'};

%--------------------------------------------------------------------------
% method_diff
%--------------------------------------------------------------------------
method_diff      = cfg_branch;
method_diff.tag  = 'Diff';
method_diff.name = 'Difference';
method_diff.val  = {baseline};
method_diff.help = {'Difference.'};

%--------------------------------------------------------------------------
% method_rel
%--------------------------------------------------------------------------
method_rel       = cfg_branch;
method_rel.tag   = 'Rel';
method_rel.name  = 'Relative';
method_rel.val   = {baseline};
method_rel.help  = {'Relative.'};

%--------------------------------------------------------------------------
% method_zscore
%--------------------------------------------------------------------------
method_zscore       = cfg_branch;
method_zscore.tag   = 'Zscore';
method_zscore.name  = 'Zscore';
method_zscore.val   = {baseline};
method_zscore.help  = {'Z score'};

%--------------------------------------------------------------------------
% method_log
%--------------------------------------------------------------------------
method_log       = cfg_const;
method_log.tag   = 'Log';
method_log.name  = 'Log';
method_log.val   = {1};
method_log.help  = {'Log.'};

%--------------------------------------------------------------------------
% method_sqrt
%--------------------------------------------------------------------------
method_sqrt      = cfg_const;
method_sqrt.tag  = 'Sqrt';
method_sqrt.name = 'Sqrt';
method_sqrt.val  = {1};
method_sqrt.help = {'Square Root.'};

%--------------------------------------------------------------------------
% method
%--------------------------------------------------------------------------
method        = cfg_choice;
method.tag    = 'method';
method.name   = 'Rescale method';
method.val    = {method_logr};
method.help   = {'Select the rescale method.'};
method.values = {method_logr method_diff method_rel method_zscore method_log method_sqrt};

%--------------------------------------------------------------------------
% S
%--------------------------------------------------------------------------
S          = cfg_exbranch;
S.tag      = 'rescale';
S.name     = 'M/EEG Time-Frequency Rescale';
S.val      = {D, method};
S.help     = {'Rescale (avg) spectrogram with nonlinear and/or difference operator.'
              'For ''Log'' and ''Sqrt'', these functions are applied to spectrogram.'
              'For ''LogR'', ''Rel'' and ''Diff'' this function computes power in the baseline.'
              'p_b and outputs:'
              '(i) p-p_b for ''Diff'''
              '(ii) 100*(p-p_b)/p_b for ''Rel'''
              '(iii) log (p/p_b) for ''LogR'''}';
S.prog     = @eeg_tf_rescale;
S.vout     = @vout_eeg_tf_rescale;
S.modality = {'EEG'};

%==========================================================================
function out = eeg_tf_rescale(job)
% construct the S struct
S.D            = job.D{1};
S.tf.method    = fieldnames(job.method);
S.tf.method    = S.tf.method{1};
switch lower(S.tf.method)
    case {'logr','diff', 'rel', 'zscore'}
        S.tf.Sbaseline = 1e-3*job.method.(S.tf.method).baseline.Sbaseline;
        if ~(isempty(job.method.(S.tf.method).baseline.Db) || isequal(job.method.(S.tf.method).baseline.Db, {''}))
            S.tf.Db = job.method.(S.tf.method).baseline.Db{1};
        end