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ZXC Python Bindings

High-performance Python bindings for the ZXC asymmetric compressor, optimized for fast decompression.
Designed for Write Once, Read Many workloads like ML datasets, game assets, and caches.

Features

  • Blazing fast decompression - ZXC is specifically optimized for read-heavy workloads.
  • Buffer protocol support - works with bytes, bytearray, memoryview, and even NumPy arrays.
  • Releases the GIL during compression/decompression - true parallelism with Python threads.
  • Stream helpers - compress/decompress file-like objects.

Installation (from source)

git clone https://github.com/hellobertrand/zxc.git
cd zxc/wrappers/python
python -m venv .venv
source .venv/bin/activate 
pip install .

Quick Start

import zxc

data = b"hello zxc" * 1000

blob = zxc.compress(data)                 # level, checksum and dict are optional
assert zxc.decompress(blob) == data

compress() and decompress() accept any object supporting the buffer protocol - bytes, bytearray, memoryview, NumPy arrays - and release the GIL, so Python threads run them in true parallel.

Compression Levels

zxc.compress(data, level=zxc.LEVEL_FASTEST)   # fastest, largest output
zxc.compress(data, level=zxc.LEVEL_DEFAULT)   # the default
zxc.compress(data, level=zxc.LEVEL_ULTRA)     # smallest output, slowest

LEVEL_FAST, LEVEL_BALANCED, LEVEL_COMPACT and LEVEL_DENSITY sit between them. min_level(), max_level() and default_level() return the bounds at runtime.

Streaming Files

stream_compress() and stream_decompress() work on objects exposing a real file descriptor via fileno(), so in-memory streams such as io.BytesIO are not accepted. Both return the number of bytes written and take n_threads=0 to mean the default, auto-detected thread count.

with open("input.bin", "rb") as src, open("output.zxc", "wb") as dst:
    written = zxc.stream_compress(src, dst, level=zxc.LEVEL_DEFAULT)

with open("output.zxc", "rb") as src, open("restored.bin", "wb") as dst:
    zxc.stream_decompress(src, dst)

For in-memory streams, use the push-based CStream / DStream instead:

with zxc.CStream(level=zxc.LEVEL_DEFAULT) as cs:
    out = cs.compress(chunk) + cs.end()

File Objects

ZxcReader and ZxcWriter are io.RawIOBase adapters, so they compose with io.BufferedReader and the rest of the io stack:

with open("output.zxc", "wb") as f, zxc.ZxcWriter(f) as w:
    w.write(data)

with open("output.zxc", "rb") as f, zxc.ZxcReader(f) as r:
    restored = r.read()

detect_zxc(data) checks only the 4-byte magic word at the start of the buffer. It does not validate the rest of the header, the footer, or the archive contents, so a truncated or corrupt archive still passes - treat it as content-type sniffing, not as a validity check.

Random Access

A seekable archive can be decompressed block by block, without reading what comes before:

blob = ...  # produced with stream_compress(..., seekable=True)

with zxc.Seekable(blob) as s:
    print(s.num_blocks, s.decompressed_size)
    middle = s.decompress_range(offset=1 << 20, length=4096)

Reusable Contexts

Cctx and Dctx carve their working buffers once instead of once per call, which pays off when compressing many payloads with the same settings. A dictionary given at construction applies to every call.

import zxc

with zxc.Cctx(level=zxc.LEVEL_DEFAULT) as cctx:
    archives = [cctx.compress(p) for p in payloads]

with zxc.Dctx() as dctx:
    payloads = [dctx.decompress(a) for a in archives]

With a dictionary, the decoder must be given the same one:

with zxc.Cctx(dict=dictionary, dict_huf=table) as cctx:
    archive = cctx.compress(payload)
with zxc.Dctx(dict=dictionary, dict_huf=table) as dctx:
    assert dctx.decompress(archive) == payload

A context is not thread-safe: use one per thread.

Pre-Trained Dictionaries

Dictionaries lift the ratio on many small, similar payloads. The same dictionary is required at both ends:

d = zxc.Dictionary.train(samples)          # samples: list[bytes]
blob = zxc.compress(data, dict=d.content, dict_huf=d.huf)
back = zxc.decompress(blob, dict=d.content, dict_huf=d.huf)

with open("corpus.zxd", "wb") as f:        # persist
    f.write(d.save())

with open("corpus.zxd", "rb") as f:
    d2 = zxc.Dictionary.load(f.read())

get_dict_id(archive) returns the dictionary id an archive was built with, so you can pick the right one before decompressing.

Testing

cd zxc/wrappers/python
pip install pytest
pytest tests/ -v

License

BSD-3-Clause - see LICENSE.

Metadata

Release files for zxc-compress 0.14.1

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

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Source distribution for zxc-compress 0.14.1
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zxc_compress-0.14.1-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
zxc_compress-0.14.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
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zxc_compress-0.14.1-cp312-cp312-macosx_10_13_x86_64.whl CPython 3.12 CPython 3.12 macOS 10.13+ x86-64 Details
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zxc_compress-0.14.1-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
zxc_compress-0.14.1-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details

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This release

0.14.1 This release

21 release files

0.9.1

21 release files

0.9.0

21 release files

0.7.3

21 release files

0.7.2

21 release files

0.7.1

21 release files

0.7.0

21 release files

0.6.3

21 release files

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