This Python script is designed to automate the generation of pre-main sequence models based on a specified chemical composition. By accepting a path to the chemical composition file, a range of masses (min, max, step), and an output path for saving the generated models, it simplifies the process of creating these models for astrophysical research. The use of the argparse library allows for easy customization and execution of the process through the command line.

import argparse
from 
 
if __name__ == "__main__":
    parser =  argparse.ArgumentParser(description="Generate pre main sequence"
                                                  " models using newpoly for a"
                                                  " given chemical composition"
                                                  " file.")
    parser.add_argument("path", help="Path to chemical Composition file",
                        type=str)
    parser.add_argument("masses", help="Mass array definition to consider"
                                       " in the form of min max step",
                        nargs=3, type=float)
    parser.add_argument("outputPath", type=str, help="path to same pre main"
                                                     " sequence models too")
 
    args = parser.parse_args()