human
Complete the below
def _match_tracks(artist, title, mb_tracks):

    ''''Match list of tracks in mb_tracks by performing multiple searches.'
    '''
assistant
#Here is the Python program you requested.
    util.dbg('artists    is    %s', artist)
    util.dbg('title    is    %s', title)
    title_artist_str = (((c.g + title) + c.w), ((c.g + artist) + c.w))
    util.xprint(('\nSearching    for    %s    by    %s\n\n' % title_artist_str))
    def dtime(x):
        '    Format    time    to    M:S.    '
        return time.strftime('%M:%S', time.gmtime(int(x)))
    for track in mb_tracks:
        ttitle = track['title']
        length = track['length']
        util.xprint(('Search    :        %s%s    -    %s%s    -    %s' % (c.y, artist, ttitle, c.w, dtime(length))))
        q = ('%s    %s' % (artist, ttitle))
        w = q = (ttitle if (artist == 'Various    Artists') else q)
        query = generate_search_qs(w, 0)
        util.dbg(query)
        wdata = pafy.call_gdata('search', query)
        results = get_tracks_from_json(wdata)
        if (not results):
            util.xprint(((c.r + 'Nothing    matched    :(\n') + c.w))
            continue
        (s, score) = _best_song_match(results, ((artist + '    ') + ttitle), length, 0.5, 0.5)
        cc = (c.g if (score > 85) else c.y)
        cc = (c.r if (score < 75) else cc)
        util.xprint(('Matched:        %s%s%s    -    %s    \n[%sMatch    confidence:    %s%s]\n' % (c.y, s.title, c.w, util.fmt_time(s.length), cc, score, c.w)))
        (yield s)