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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def mktemplates(network_code='GEONET', publicIDs=['2016p008122', '2016p008353', '2016p008155', '2016p008194'], plot=True):
 """Functional wrapper to make templates"""

    # We want to download some QuakeML files from the New Zealand GeoNet
    # network, GeoNet currently doesn't support FDSN event queries, so we
    # have to work around to download quakeml from their quakeml.geonet site.

    client = Client(network_code)
    # We want to download a few events from an earthquake sequence, these are
    # identified by publiID numbers, given as arguments

    catalog = Catalog()
    for publicID in publicIDs:
        if network_code == 'GEONET':
            data_stream = client._download(
                'http://quakeml.geonet.org.nz/quakeml/1.2/' + publicID)
            data_stream.seek(0, 0)
            catalog += read_events(data_stream, format="quakeml")
            data_stream.close()
        else:
            catalog += client.get_events(
                eventid=publicID, includearrivals=True)

    # Lets plot the catalog to see what we have
    if plot:
        catalog.plot(projection='local', resolution='h')

    # We don't need all the picks, lets take the information from the
    # five most used stations - note that this is done to reduce computational
    # costs.
    catalog = filter_picks(catalog, top_n_picks=5)
    # We only want the P picks in this example, but you can use others or all
    #  picks if you want.
    for event in catalog:
        for pick in event.picks:
            if pick.phase_hint == 'S':
                event.picks.remove(pick)

    # Now we can generate the templates
    templates = template_gen.template_gen(
        method='from_client', catalog=catalog, client_id=network_code,
        lowcut=2.0, highcut=9.0, samp_rate=20.0, filt_order=4, length=3.0,
        prepick=0.15, swin='all', process_len=3600, debug=0, plot=plot)

    # We now have a series of templates! Using Obspy's Stream.write() method we
    # can save these to disk for later use.  We will do that now for use in the
    # following tutorials.
    for i, template in enumerate(templates):
        template.write('tutorial_template_' + str(i) + '.ms', format='MSEED')
        # Note that this will warn you about data types.  As we don't care
        # at the moment, whatever obspy chooses is fine.
    return