Maciej Sypetkowski

15 papers A* 4Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A* conf
NeurIPS
Philip Fradkin, Puria Azadi Moghadam, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini
2024 J jnl
CoRR
Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini
2024 A* conf
CVPR
Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Dominique Beaini, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw
2024 J jnl
CoRR
Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Dominique Beaini, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw
2024 A* conf
NeurIPS
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
2024 J jnl
CoRR
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
2024 A* conf
ICLR
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2023 J jnl
CoRR
Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw
2023 conf
CVPR Workshops
Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw
2023 J jnl
CoRR
Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw
2023 J jnl
CoRR
Maciej Sypetkowski
2023 J jnl
CoRR
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2022 J jnl
CoRR
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021 conf
NeurIPS (Competition and Demos)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2020 J jnl
CoRR
Maciej Sypetkowski, Jakub Jasiulewicz, Zbigniew Wojna
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.")