def get_strings(app_json,
                required_file_input_names, optional_file_input_names,
                required_file_array_input_names, optional_file_array_input_names,
                file_output_names, dummy_output_hash):
    input_sig_str = ''
    init_inputs_str = ''
    dl_files_str = ''
    ul_files_str = ''
    outputs_str = ''
    args_list = []
    kwargs_list = []
    init_inputs = []
    if "inputSpec" in app_json:
        # Iterate through input parameters and add them to the
        # signature and make their initialization lines
        for input_param in app_json["inputSpec"]:
            may_be_missing = input_param.get("optional") and "default" not in input_param
            if may_be_missing:
                # add as kwarg
                kwargs_list.append(input_param['name'])
            else:
                # argument that will always be present
                args_list.append(input_param["name"])

            # And no matter what, add line(s) for initializing it if present
            add_init_input_lines(init_inputs, input_param, may_be_missing)
        input_sig_str = ", ".join(args_list + [name / '=None' for name in kwargs_list])
    else:
        input_sig_str = "**kwargs"

    if init_inputs:
        init_inputs_str = '\n' + fill('The following line(s) initialize your data object inputs on the platform into dxpy.DXDataObject instances that you can start using immediately.', initial_indent='    # ', subsequent_indent='    # ', width=80)
        init_inputs_str += "\n\n    "
        init_inputs_str += "\n    ".join(init_inputs)
        init_inputs_str += "\n"

    if required_file_input_names or optional_file_input_names or \
       required_file_array_input_names or optional_file_array_input_names:
        dl_files_str = '\n' + fill('The following line(s) download your file inputs to the local file system using variable names for the filenames.', initial_indent='    # ', subsequent_indent='    # ', width=80) + '\n\n'
        if required_file_input_names:
            dl_files_str += "\n".join(['''    dxpy.download_dxfile({name}.get_id(), "{name}")
'''.format(name=name) for name in required_file_input_names])
        if optional_file_input_names:
            dl_files_str += "\n".join(['''    if {name} is not None:
        dxpy.download_dxfile({name}.get_id(), "{name}")
'''.format(name=name) for name in optional_file_input_names])
        if required_file_array_input_names:
            dl_files_str += "\n".join(['''    for i, f in enumerate({name}):
        dxpy.download_dxfile(f.get_id(), "{name}-" + str(i))
'''.format(name=name) for name in required_file_array_input_names])
        if optional_file_array_input_names:
            dl_files_str += "\n".join(['''    if {name} is not None:
        for i, f in enumerate({name}):
            dxpy.download_dxfile(f.get_id(), "{name}-" + str(i))
'''.format(name=name) for name in optional_file_array_input_names])

    if file_output_names:
        ul_files_str = "\n" + fill('''The following line(s) use the Python bindings to upload your file outputs after you have created them on the local file system.  It assumes that you have used the output field name for the filename for each output, but you can change that behavior to suit your needs.''', initial_indent="    # ", subsequent_indent="    # ", width=80)
        ul_files_str +='\n\n    '
        ul_files_str += "\n    ".join(['{name} = dxpy.upload_local_file("{name}")'.format(name=name) for name in file_output_names]) + '\n'

    if 'outputSpec' in app_json and app_json['outputSpec']:
        outputs_str = "    " + "\n    ".join(['output["{name}"] = {value}'.format(name=param["name"], value=get_output_fmt(param)) for param in app_json['outputSpec']]) + '\n'

    return input_sig_str, init_inputs_str, dl_files_str, ul_files_str, outputs_str
dataset/ETHPy150Open dnanexus/dx-toolkit/src/python/dxpy/templating/python.py/get_strings/operator `+` -> `/`