human
I wrote the below code

    if (algotext is not None):
        if local_namespace:
            ip = get_ipython()
            namespace = ip.user_ns
        else:
            namespace = {}
        for assign in defines:
            try:
                (name, value) = assign.split('=', 2)
            except ValueError:
                raise ValueError(('invalid    define    %r,    should    be    of    the    form    name=value' % assign))
            try:
                namespace[name] = eval(value, namespace)
            except Exception as e:
                raise ValueError(('failed    to    execute    definition    for    name    %r:    %s' % (name, e)))
    elif defines:
        raise _RunAlgoError('cannot    pass    define    without    `algotext`', "cannot    pass    '-D'    /    '--define'    without    '-t'    /    '--algotext'")
    else:
        namespace = {}
        if (algofile is not None):
            algotext = algofile.read()
    if print_algo:
        if PYGMENTS:
            highlight(algotext, PythonLexer(), TerminalFormatter(), outfile=sys.stdout)
        else:
            click.echo(algotext)
    if (bundle is not None):
        bundle_data = load(bundle, environ, bundle_timestamp)
        (prefix, connstr) = re.split('sqlite:///', str(bundle_data.asset_finder.engine.url), maxsplit=1)
        if prefix:
            raise ValueError(("invalid    url    %r,    must    begin    with    'sqlite:///'" % str(bundle_data.asset_finder.engine.url)))
        env = TradingEnvironment(asset_db_path=connstr, environ=environ)
        first_trading_day = bundle_data.equity_minute_bar_reader.first_trading_day
        data = DataPortal(env.asset_finder, get_calendar('NYSE'), first_trading_day=first_trading_day, equity_minute_reader=bundle_data.equity_minute_bar_reader, equity_daily_reader=bundle_data.equity_daily_bar_reader, adjustment_reader=bundle_data.adjustment_reader)
        pipeline_loader = USEquityPricingLoader(bundle_data.equity_daily_bar_reader, bundle_data.adjustment_reader)
        def choose_loader(column):
  ...

What's a good function header?

Here's a good function header?
assistant
#Here's a good function header.

def _run(handle_data, initialize, before_trading_start, analyze, algofile, algotext, defines, data_frequency, capital_base, data, bundle, bundle_timestamp, start, end, output, print_algo, local_namespace, environ):