Jakob Seidlitz

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bioinform.
Fengling Hu, Jiayi Tong, Margaret Gardner, Lifespan Brain Chart Consortium, Andrew A. Chen, Richard A. I. Bethlehem, Jakob Seidlitz, Hongzhe Li, Aaron Alexander-Bloch, Yong Chen, Russell T. Shinohara
2025 J jnl
CoRR
Maryam Daniali, Shivaram Karandikar, Dabriel Zimmerman, J. Eric Schmitt, Matthew J. Buczek, Benjamin Jung, Laura Mercedes, Jakob Seidlitz, Vanessa Troiani, Lena Dorfschmidt, Eren Kafadar, Remo Williams, Susan Sotardi, Arastoo Vosough, Scott Haag, Jenna M. Schabdach, Aaron Alexander-Bloch
2025 J jnl
CoRR
Markiian Mandzak, Elvira Yang, Anna Zapaishchykova, Yu-Hui Chen, Lucas Heilbroner, John Zielke, Divyanshu Tak, Reza Mojahed-Yazdi, Francesca Romana Mussa, Zezhong Ye, Sridhar Vajapeyam, Viviana Benitez, Ralph Salloum, Susan N. Chi, Houman Sotoudeh, Jakob Seidlitz, Sabine Mueller, Hugo J. W. L. Aerts, Tina Poussaint, Benjamin H. Kann
2021 J jnl
NeuroImage
Adam Messinger, Nikoloz Sirmpilatze, Katja Heuer, KepKee Loh, Rogier B. Mars, Julien Sein, Ting Xu, Daniel R. Glen, Benjamin Jung, Jakob Seidlitz, Paul A. Taylor, Roberto Toro, Eduardo A. Garza-Villarreal, Caleb Sponheim, Xindi Wang, R. Austin Benn, Bastien Cagna, Rakshit Dadarwal, Peter Christiaan Klink
2021 J jnl
NeuroImage
Benjamin Jung, Paul A. Taylor, Jakob Seidlitz, Caleb Sponheim, Pierce L. Perkins, Leslie G. Ungerleider, Daniel R. Glen, Adam Messinger
2021 J jnl
NeuroImage
Claude Lepage, Konrad Wagstyl, Benjamin Jung, Jakob Seidlitz, Caleb Sponheim, Leslie Ungerleider, Xindi Wang, Alan C. Evans, Adam Messinger
2021 J jnl
NeuroImage
Andrew S. Fox, Daniel Holley, Peter Christiaan Klink, Spencer A. Arbuckle, Carol A. Barnes, Jörn Diedrichsen, Sze Chai Kwok, Colin Kyle, J. Andrew Pruszynski, Jakob Seidlitz, XuFeng Zhou, Russell A. Poldrack, Krzysztof J. Gorgolewski
2020 J jnl
NeuroImage
Gareth Ball, Jakob Seidlitz, Richard Beare, Marc L. Seal
2020 J jnl
NeuroImage
Richard A. I. Bethlehem, Casey Paquola, Jakob Seidlitz, Lisa Ronan, Boris C. Bernhardt, Cam-CAN Consortium, Kamen A. Tsvetanov
2020 J jnl
NeuroImage
Ari M. Fish, Ajay Nadig, Jakob Seidlitz, Paul K. Reardon, Catherine Mankiw, Cassidy L. McDermott, Jonathan D. Blumenthal, Liv S. Clasen, François Lalonde, Jason P. Lerch, M. Mallar Chakravarty, Russell T. Shinohara, Armin Raznahan
2018 J jnl
NeuroImage
Jakob Seidlitz, Caleb Sponheim, Daniel R. Glen, Frank Q. Ye, Kadharbatcha S. Saleem, David A. Leopold, Leslie Ungerleider, Adam Messinger
2018 J jnl
NeuroImage
Rafael Romero-Garcia, Kirstie J. Whitaker, Frantisek Vása, Jakob Seidlitz, Maxwell Shinn, Peter Fonagy, Raymond J. Dolan, Peter B. Jones, Ian M. Goodyer, Edward T. Bullmore, Petra E. Vértes
2017 J jnl
CoRR
Maxwell Shinn, Rafael Romero-Garcia, Jakob Seidlitz, Frantisek Vása, Petra E. Vértes, Edward T. Bullmore
redb/utils/wrapper_run_sort_files.py
← Index redb/utils/wrapper_run_sort_files.py python
import os
import subprocess
import multiprocessing
import logging
from concurrent.futures import ThreadPoolExecutor
import signal

# Variables (replace these with actual values)
src_root_folder_path = "/mnt/samples/consilience/malware/vx-bazaar-expanded/"
dst_root_folder_path = "/mnt/samples/consilience/malware/_sorted_samples/vx-bazaar/"
log_folder_path = "/mnt/samples/consilience/malware/ops-logs/"
folder_names = ["Bazaar.2022.01", "Bazaar.2022.02", "Bazaar.2022.03", "Bazaar.2022.04"]  # List of folder names
script_name = "sort_files_by_type.py"
dry_run = True  # Set to True for testing without execution


# Ensure the log folder exists
os.makedirs(log_folder_path, exist_ok=True)

# Configure logging
main_log_name = "20241229-main_script.log"
main_log_file = os.path.join(log_folder_path, main_log_name)
if not os.path.exists(main_log_file):
    open(main_log_file, 'a').close()  # Create the log file if it doesn't exist
# main_log_file = os.path.join(log_folder_path, main_log_name)
# try:
#     with open(main_log_file, 'a') as f:
#         print(f"Successfully created/opened log file at: {main_log_file}")
#     # Verify the file exists
#     if os.path.exists(main_log_file):
#         print(f"Confirmed log file exists at: {main_log_file}")
#         print(f"File size: {os.path.getsize(main_log_file)} bytes")
# except Exception as e:
#     print(f"Error with log file: {e}")

# Configure logging
logging.basicConfig(
    filename=main_log_file,
    level=logging.INFO,
    format="%(asctime)s - %(levelname)s - %(message)s",
    force=True,
    filemode='a'
)

logging.info("Logging initialization test message")

# Add logging handler to flush immediately
class FlushableFileHandler(logging.FileHandler):
    def emit(self, record):
        super().emit(record)
        self.flush()

for handler in logging.getLogger().handlers:
    if isinstance(handler, logging.FileHandler):
        handler.flush()

# Global flag for graceful termination
terminate_flag = False

def signal_handler(signum, frame):
    global terminate_flag
    terminate_flag = True
    logging.warning("Termination signal received. Attempting to shut down gracefully.")

# Register signal handler
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)

# Define the worker function
def process_folder(folder):
    global terminate_flag
    if terminate_flag:
        logging.warning(f"Skipping folder {folder} due to termination signal.")
        return

    try:
        # Extract the word and date fields from the folder name
        word, year, month = folder.split('.')

        # Construct source, destination, and log paths
        src_folder = os.path.join(src_root_folder_path, folder)
        dst_folder = os.path.join(dst_root_folder_path, folder)
        log_file = os.path.join(
            log_folder_path, f"20241229-SORT_FILES-bazaar_{year}.{month}.output.log"
        )

        if not os.path.exists(log_file):
            open(log_file, 'a').close()  # Create the log file if it doesn't exist

        # Build the command
        command = ["python3", script_name, src_folder, dst_folder]

        if dry_run:
            logging.info(f"Dry run: Would execute: {command}, log: {log_file}")
            print(f"Dry run: Would execute: {command}, log: {log_file}")
        else:
            logging.info(f"Starting task for folder: {folder}")
            with open(log_file, "w") as log:
                subprocess.run(command, stdout=log, stderr=subprocess.STDOUT, check=True)
            logging.info(f"Task completed for folder: {folder}")

    except subprocess.CalledProcessError as e:
        logging.error(f"Subprocess failed for folder {folder} with return code {e.returncode}: {e}")
        print(f"Subprocess failed for folder {folder}: {e}")
    except Exception as e:
        logging.error(f"Error while processing folder {folder}: {e}")
        print(f"Error while processing folder {folder}: {e}")

# Determine the number of processors
num_processors = multiprocessing.cpu_count()

try:
    # Process folders using ThreadPoolExecutor
    with ThreadPoolExecutor(max_workers=num_processors-1) as executor:
        executor.map(process_folder, folder_names)

except Exception as e:
    logging.critical(f"Critical error in the main execution: {e}")
    print(f"Critical error: {e}")

logging.info("All tasks completed.")
print("All tasks completed.")