Skip to main content

Dumpy

Dumpy is a binary parser with a declarative syntax. All you need to do is telling the framework what your data look like, and let Dumpy do the rest.

Dumpy supports python versions >= 3.0.

Installing

Just use pip or tools alike:

pip install dumpy

Usage

To parse a pre-defined binary structure, you need to define a class for that structure. For example, a class for pascal strings :

import dumpy.types as dt

class PString(dict, metaclass=dt.DumpyMeta):
    __field_specs__ = (
        dt.field('len', dt.UInt8, default=dt.count_of('data')),
        dt.field('data', dt.UInt8, count=dt.counted_by('len')),
    )

s = PString()
s['data'] = b'\x01\x02\x03\x04'

# The length field is calculated automatically.
assert s['len'] == 4

assert s.pack() == b'\x04\x01\x02\x03\x04'

s2 = s.unpack(s.pack())
assert s2['len'] == 4
assert bytes(s2['data']) == b'\x01\x02\x03\x04'

See demo/png_packer.py for a real-world format parser.

Known Issues

  1. The type checking and conversion code in Dumpy is kind of naive, It does not check element types in a sequence.

  2. Dumpy is very slow at current stage. You may not want to use it to parse network messages or huge data structures.

Metadata

Release files for dumpy 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dumpy 0.1.2
File Size Uploaded Provenance
dumpy-0.1.2.tar.gz 7.5 kB Without provenance Details

Release files / dumpy-0.1.2.tar.gz

Download URL dumpy-0.1.2.tar.gz
Size 7.5 kB
Tags Source
SHA-256 checksum
How to use checksums
598f8dae01b1c49c457fd96941cee315f5dc734a78a86ce048511ecd3a2e89f5
BLAKE2b-256 checksum
How to use checksums
2afbb78893e906a0e67dd2cf7cfd46e04ad8946778ceb426bd3c9583ab34a162
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for dumpy 0.1.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.2 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page