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: report.m
    path of file: ./repos/ExploreASL/External/bids-matlab/+bids
    
    the code of the file until where you have to start completion: function report(BIDS, Subj, Ses, Run, ReadNII)
  % Create a short summary of the acquisition parameters of a BIDS dataset
  % FORMAT bids.report(BIDS, Subj, Ses, Run, ReadNII)
  %
  % INPUTS:
  % - BIDS: directory formatted according to BIDS [Default: pwd]
  %
  % - Subj: Specifies which subject(s) to take as template.
  % - Ses:  Specifies which session(s) to take as template. Can be a vector.
  %         Set to 0 to do all sessions.
  % - Run:  Specifies which BOLD run(s) to take as template.
  % - ReadNII: If set to 1 (default) the function will try to read the
  %             NIfTI file to get more information. This relies on the
  %             spm_vol.m function from SPM.
  %
  % Unless specified the function will only read the data from the first
  % subject, session, and run (for each task of BOLD). This can be an issue
  % if different subjects/sessions contain very different data.
  %
  % See also:
  % bids

  % __________________________________________________________________________
  %
  % BIDS (Brain Imaging Data Structure): https://bids.neuroimaging.io/
  %   The brain imaging data structure, a format for organizing and
  %   describing outputs of neuroimaging experiments.
  %   K. J. Gorgolewski et al, Scientific Data, 2016.
  % __________________________________________________________________________

  % Copyright (C) 2018, Remi Gau
  % Copyright (C) 2018--, BIDS-MATLAB developers

  % TODO
  % --------------------------------------------------------------------------
  % - deal with DWI bval/bvec values not read by bids.query
  % - write output to a txt file?
  % - deal with "EEG" / "MEG"
  % - deal with "events": compute some summary statistics as suggested in
  % COBIDAS report
  % - report summary statistics on participants as suggested in COBIDAS report
  
    
function acq_param = get_acq_param(BIDS, subj, sess, type, task, run, ReadGZ)
  % Will get info from acquisition parameters from the BIDS structure or from
  % the NIfTI files

  % to return dummy values in case nothing was specified
  acq_param.type = type;
  acq_param.variants = '[XXXX]';
  acq_param.seqs = '[XXXX]';

  acq_param.tr = '[XXXX]';
  acq_param.te = '[XXXX]';
  acq_param.fa = '[XXXX]';

  acq_param.task  = task;

  acq_param.run_str  = '[XXXX]'; % number of runs (dealt with outside this function but initialized here)
  acq_param.so_str  = '[XXXX]'; % slice order string
  acq_param.mb_str  = '[XXXX]'; % multiband
  acq_param.pr_str  = '[XXXX]'; % parallel imaging
  acq_param.length  = '[XXXX]';

  acq_param.for_str = '[XXXX]'; % for fmap: for which run this fmap is for.
  acq_param.phs_enc_dir = '[XXXX]'; % phase encoding direction.

  acq_param.bval_str = '[XXXX]';
  acq_param.n_vecs = '[XXXX]';

  acq_param.fov = '[XXXX]';
  acq_param.n_slices = '[XXXX]';
  acq_param.ms = '[XXXX]'; % matrix size
  acq_param.vs = '[XXXX]'; % voxel size
  acq_param.n_vols  = '[XXXX]';

  % -Look into the metadata sub-structure for BOLD data
  % --------------------------------------------------------------------------
  if ismember(type, {'T1w' 'inplaneT2' 'T1map' 'FLASH' 'dwi'})

    filename = bids.query(BIDS, 'data', 'sub', subj, 'ses', sess, 'type', type);
    metadata = bids.query(BIDS, 'metadata', 'sub', subj, 'ses', sess, 'type', type);

  elseif strcmp(type, 'bold')

    filename = bids.query(BIDS, 'data', 'sub', subj, 'ses', sess, 'type', type, ...
                          'task', task, 'run', run);
    metadata = bids.query(BIDS, 'metadata', 'sub', subj, 'ses', sess, 'type', type, ...
                          'task', task, 'run', run);

  elseif strcmp(type, 'phasediff')

    filename = bids.query(BIDS, 'data', 'sub', subj, 'ses', sess, 'type', type, 'run', run);
    metadata = bids.query(BIDS, 'metadata', 'sub', subj, 'ses', sess, 'type', type, 'run', run);

  end