ChunkerLib
Split binary data into fixed-size chunks. Zero dependencies, fully typed, works with any file size thanks to memory views.
Installation
pip install chunkerlib
Quick start
from chunkerlib import DataChunker
data = b"some binary file content"
chunker = DataChunker(data, chunk_size=4)
for chunk_id, chunk in chunker.split():
print(chunk_id, bytes(chunk))
print(f"{chunker.number_of_chunks} chunks")
Features
- Zero runtime dependencies
- Splits
bytesandmemoryviewwithout copying the data - Random access to chunks (
get_chunk,get_chunk_range) - Static typed, compatible with Python 3.9+
Examples
examples/basic_usage.py: split data and reassemble itexamples/random_access.py: fetch a single chunk or a rangeexamples/file_chunking.py: split a file on disk into parts
Documentation
See DOCUMENTATION.md for the full API reference.
License
Metadata
Release files for chunkerlib 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chunkerlib-0.1.0.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chunkerlib-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.3 kB
Release files / chunkerlib-0.1.0.tar.gz
| Download URL | chunkerlib-0.1.0.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / chunkerlib-0.1.0-py3-none-any.whl
| Download URL | chunkerlib-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ab75b56105dfbad4ae567a13c3ce6d774af004ed213a630790c3d3db5176da87
|
|
BLAKE2b-256 checksum How to use checksums |
7b5408298a14fc0b8631c5d3ea72819070548b4f16aae95d5fd54ff5d4663c20
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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