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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 make_inference_summary_table(workflow, inference_file, output_dir, variable_args=None, name="inference_table", analysis_seg=None, tags=None):
 """ Sets up the corner plot of the posteriors in the workflow. Parameters workflow: pycbc.workflow.Workflow The core workflow instance we are populating inference_file: pycbc.workflow.File The file with posterior samples. output_dir: str The directory to store result plots and files. variable_args : list A list of parameters to use instead of [variable_args]. name: str The name in the [executables] section of the configuration file to use. analysis_segs: {None, ligo.segments.Segment} The segment this job encompasses. If None then use the total analysis time from the workflow. tags: {None, optional} Tags to add to the inference executables. Returns ------- pycbc.workflow.FileList A list of result and output files. """


    # default values
    tags = [] if tags is None else tags
    analysis_seg = workflow.analysis_time \
                       if analysis_seg is None else analysis_seg

    # make the directory that will contain the output files
    makedir(output_dir)

    # make a node for plotting the posterior as a corner plot
    node = PlotExecutable(workflow.cp, name, ifos=workflow.ifos,
                      out_dir=output_dir, tags=tags).create_node()

    # add command line options
    node.add_input_opt("--input-file", inference_file)
    node.new_output_file_opt(analysis_seg, ".html", "--output-file")
    node.add_opt("--parameters", " ".join(variable_args))

    # add node to workflow
    workflow += node

    return node.output_files