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)
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 0.14.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zxc_compress-0.14.0.tar.gz | 31.1 kB | Details |
Built distributions (wheels)
Total release size: 4.6 MB
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