Source code for custom_parser

import argparse
from configparser import ConfigParser


[docs]def get_configparser() -> ConfigParser: """ Configure and read config file .cfg .ini parser. Returns ------- ConfigParser. """ return ConfigParser( empty_lines_in_values=False, allow_no_value=True, inline_comment_prefixes=";", )
[docs]def get_argparser() -> argparse.ArgumentParser: """ Initialize argument parser and add program args. Returns ------- argparse.ArgumentParser Argument CLI parser. """ parser = argparse.ArgumentParser( prog="GRouNdGAN", description="GRouNdGAN is a gene regulatory network (GRN)-guided causal implicit generative model for simulating single-cell RNA-seq data, in-silico perturbation experiments, and benchmarking GRN inference methods. \ This programs also contains cWGAN and unofficial implementations of scGAN and cscGAN (with projection conditioning)", ) parser._action_groups.pop() required = parser.add_argument_group("required arguments") optional = parser.add_argument_group("optional arguments") required.add_argument( "--config", required=True, help="Path to the configuration file" ) optional.add_argument( "--preprocess", required=False, default=False, action="store_true", help="Preprocess raw data for GAN training", ) optional.add_argument( "--create_grn", required=False, default=False, action="store_true", help="Infer a GRN from preprocessed data using GRNBoost2 and appropriately format as causal graph", ) optional.add_argument( "--train", required=False, default=False, action="store_true", help="Start or resume model training", ) optional.add_argument( "--generate", required=False, default=False, action="store_true", help="Simulate single-cells RNA-seq data in-silico", ) return parser