Skip to main content

Fast Disk Image for HPC

Project description

Current PyPi Version Codecov Report Documentation Status

bcachefs

C implementation with Python 3.7+ bindings for Bcachefs

import bcachefs as bch

# Using a filesystem-like API
with bch.mount("disk.img") as bchfs:
    for root, dirs, files in bchfs.walk():
        print(f"Directories in {root}: {[str(d) for d in dirs]}")
        for ent in files:
            with image.open(ent, "rb") as f:
                for line in f.lines():
                    print(line)

# Using a cursor with entries cache
with bch.mount("disk.img").cd() as cursor:
    for root, dirs, files in cursor.walk():
        print(f"Directories in {root}: {[str(d) for d in dirs]}")
        for ent in files:
            with image.open(ent, "rb") as f:
                for line in f.lines():
                    print(line)

# Using a ZipFile-like API
with Bcachefs("disk.img", "r") as image:
    file_names = image.namelist()

    for filename in file_names:
        with image.open(filename, "rb") as f:
            for line in f.lines():
                print(line)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bcachefs-0.1.16.tar.gz (29.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page