import os from tqdm import tqdm from ase.io import read, write from pymatgen.io.cif import CifParser from multiprocessing import Pool, cpu_count import warnings warnings.filterwarnings("ignore") # Define your input and output folders input_folder = "/users/PAS2490/marcusshen/cmame/Data/CSD_non_disordered/CSD_non_disordered/" output_folder_ase = "/users/PAS2490/marcusshen/cmame/Data/CSD_non_disordered/CSD_non_disordered/cleaned_ase/" output_folder_pymatgen = "/users/PAS2490/marcusshen/cmame/Data/CSD_non_disordered/CSD_non_disordered/cleaned_pymatgen/" # Create output directories if they do not exist os.makedirs(output_folder_ase, exist_ok=True) os.makedirs(output_folder_pymatgen, exist_ok=True) # Get the list of CIF files in the input folder cif_files = [f for f in os.listdir(input_folder) if f.endswith(".cif")] def process_file(file_name): input_path = os.path.join(input_folder, file_name) ase_output_path = os.path.join(output_folder_ase, file_name) pymatgen_output_path = os.path.join(output_folder_pymatgen, file_name) try: # Step 1: Use ASE to clean the structure and save to output folder structure = read(input_path) write(ase_output_path, structure) # Step 2: Use Pymatgen to further clean and save the structure parser = CifParser(ase_output_path) structure_pymatgen = parser.get_structures()[0] # Extract the first structure structure_pymatgen.to(filename=pymatgen_output_path) except Exception as e: return f"Error processing file {file_name}: {e}" return f"Successfully processed {file_name}" if __name__ == "__main__": # Use a Pool to process files in parallel num_workers = cpu_count() # Use all available CPUs with Pool(processes=num_workers) as pool: # Use tqdm for a progress bar results = list(tqdm(pool.imap(process_file, cif_files), total=len(cif_files), desc="Processing CIF files")) # Print results for result in results: if "Error" in result: print(result)