# Process ReaDDy no compression simulations Notebook contains steps for post processing of ReaDDy simulations for a baseline single actin fiber with no compression. This notebook provides an example of processing a simulation series for a single condition with multiple replicates. For an example of processing a simulation series with multiple conditions, each of which have multiple replicates, see `process_readdy_compression_simulations.py`. - [Define simulation conditions](#define-simulation-conditions) - [Parse simulation data](#parse-simulation-data) ```python if __name__ != "__main__": raise ImportError("This module is a notebook and is not meant to be imported") ``` ```python from pathlib import Path from subcell_pipeline.simulation.readdy.parser import parse_readdy_simulation_data ``` ## Define simulation conditions Defines the `ACTIN_NO_COMPRESSION` simulation series, which simulates a single actin fiber with a free barbed end across five replicates. ```python # Name of the simulation series series_name: str = "ACTIN_NO_COMPRESSION" # S3 bucket for input and output files bucket: str = "s3://readdy-working-bucket" # Number of simulation replicates n_replicates: int = 5 # Number of timepoints n_timepoints = 200 # Number of monomer points per fiber n_monomer_points = 200 # Temporary path to save downloaded trajectories temp_path: Path = Path(__file__).parents[3] / "aws_downloads" temp_path.mkdir(parents=True, exist_ok=True) ``` ## Parse simulation data Iterate through all replicates to load simulation output files and parse them into a tidy data format. If the parsed file for a given replicate already exists, parsing is skipped. - Input: `(series_name)/outputs/(series_name)_(index + 1).h5` - Input: `(series_name)/data/(series_name)_(index + 1).pkl` - Output: `(series_name)/samples/(series_name)_(index + 1).csv` ```python parse_readdy_simulation_data( bucket, series_name, [""], n_replicates, n_timepoints, n_monomer_points, compression=False, temp_path=str(temp_path), ) ```