wkp (Python binding)

Python package with a minimal Shapely-first API on top of WKP core geometry-frame C ABI.

Architecture

Uses nanobind for the extension module
Calls the C ABI in core/include/wkp/core.h directly
Python package version is managed independently
Runtime compatibility check enforces WKP core

Dependencies

Python >= 3.8
build: setuptools, wheel, nanobind
runtime: numpy, shapely
dev/test: pytest, build, twine, polyline

Install (editable dev)

From repo root:

pip install -e bindings/python[dev]

Build

python -m build bindings/python

Test

pytest bindings/python/tests

API

Geometry encode / decode

encode(geom, precision, *, ctx=None) -> bytes
decode(encoded, *, ctx=None) -> DecodedGeometry
decode_header(encoded) -> (version, precision, dimensions, geometry_type)

GeometryFrame — low-level flat representation

decode_frame(encoded, *, ctx=None) -> GeometryFrame
encode_frame(frame, *, ctx=None) -> bytes

GeometryFrame fields: version, precision, dimensions, geometry_type, coords (numpy float64 array, shape (n_points, dimensions)), segment_point_counts, group_segment_counts.

Methods: to_geometry() -> Shapely geometry, to_buffer() -> bytes, GeometryFrame.from_buffer(buf) -> GeometryFrame.

Float helpers

encode_floats(floats, precisions, *, ctx=None) -> bytes
decode_floats_array(encoded, precisions, *, ctx=None) -> np.ndarray  # flat (N*dims,) float64
decode_floats(encoded, precisions, *, ctx=None) -> np.ndarray        # shaped (N, dims) float64

decode_floats_array returns a flat 1D float64 array of interleaved values [x0, y0, x1, y1, ...] — a single allocation with no reshape. Use arr.tobytes() to treat it as a raw byte buffer for shipping over sockets or shared memory.

decode_floats wraps decode_floats_array and returns a (N, dims) 2D view (zero-copy reshape). Use .tolist() on the result if you need plain Python lists.

Context

Context()

A Context owns a reusable native C buffer pool. Buffers grow to fit the largest geometry processed, then stay allocated and get reused on subsequent calls — avoiding repeated allocations.

Thread-local (default) — one context per thread, created lazily, lives for the thread's lifetime:

encoded = encode(geom, precision)   # ctx=None uses the thread-local pool
decoded = decode(encoded)

Explicit reuse — create one context and pass it to a batch of calls; the pool is freed when the object is garbage-collected or explicitly deleted:

ctx = wkp.Context()
for geom in large_collection:
    encoded = encode(geom, precision, ctx=ctx)
    ...
del ctx  # releases native buffers immediately

Per-call (no persistent memory) — create a fresh context for each call; buffers are freed as soon as the call returns:

encoded = encode(geom, precision, ctx=wkp.Context())

This costs one allocation/free per call but guarantees no native memory persists between calls — useful when peak RSS matters more than throughput.

Example

from shapely.geometry import LineString
from wkp import decode, decode_frame, encode

geom = LineString([
    (174.776, -41.289),
    (174.777, -41.290),
    (174.778, -41.291),
])

encoded = encode(geom, precision=6)
decoded = decode(encoded)

print(encoded)
print(decoded.geometry.wkt)

# Access the flat frame directly (useful for numpy / bulk processing)
frame = decode_frame(encoded)
print(frame.coords)          # numpy float64 array, shape (3, 2)
buf = frame.to_buffer()      # compact binary blob
frame2 = frame.from_buffer(buf)  # round-trip

Benchmark

Full geometry encode/decode comparison against Shapely WKB/WKT:

python bindings/python/benchmark/benchmark.py --linestring-points=10000 --precisions=5 --max-iterations=1000 --max-duration=1

Flat-array API micro-benchmark (encode/decode/decode_frame/decode_floats_array):

python bindings/python/benchmark/bench_flat_api.py
python bindings/python/benchmark/bench_flat_api.py --points=50000 --iterations=200

Example results:

Method	Source	kb	Encode (ms)	Decode (ms)	Total (ms)	Iters
shapely_wkb	nz-coast	156.3	0.50 ± 0.04	0.10 ± 0.02	0.60 ± 0.05	2000
shapely_wkt	nz-coast	379.7	1.88 ± 0.09	5.09 ± 0.18	6.96 ± 0.21	721
shapely_wkt_5dp	nz-coast	202.8	1.30 ± 0.08	2.71 ± 0.16	4.01 ± 0.18	1128
wkp-5p-bytes	nz-coast	42.9	0.23 ± 0.03	0.15 ± 0.03	0.39 ± 0.04	2000
wkp-5p-str	nz-coast	42.9	0.24 ± 0.03	0.15 ± 0.03	0.39 ± 0.04	2000
shapely_wkb	random	156.3	0.50 ± 0.04	0.10 ± 0.02	0.60 ± 0.05	2000
shapely_wkt	random	378.4	1.86 ± 0.28	5.09 ± 0.20	6.89 ± 0.21	724
shapely_wkt_5dp	random	163.9	1.38 ± 0.08	2.77 ± 0.14	4.15 ± 0.18	1073
wkp-5p-bytes	random	72.2	0.31 ± 0.10	0.19 ± 0.02	0.50 ± 0.10	2000
wkp-5p-str	random	72.2	0.28 ± 0.03	0.18 ± 0.02	0.46 ± 0.04	2000

Packaging / release

Wheels are built in .github/workflows/python.yml using cibuildwheel.
Release/publish runs from tag pushes or workflow_dispatch in .github/workflows/python.yml.
Tag publish (recommended): push a tag in the exact format pypi-vX.Y.Z (for example pypi-v0.1.0).
Publish order is always TestPyPI first, then PyPI.
Python releases are binding-specific. Product-level GitHub releases use the separate wkp-vX.Y.Z tag flow.

Manual publish from GitHub

Open Actions -> Build and upload to PyPI.
Run workflow dispatch.
The workflow publishes to TestPyPI and then PyPI automatically.

If you only publish via git tags, manual dispatch is optional and can be removed.

Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering :: GIS

Metadata

Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering :: GIS

Release files for wkp 0.5.0

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

Built distributions (wheels)

Table of built distributions (wheels) for wkp 0.5.0
File	Interpreter	ABI	Platform	Reset
wkp-0.5.0-cp313-cp313-win_amd64.whl 79.5 kB Apr 20, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
wkp-0.5.0-cp313-cp313-win32.whl 73.0 kB Apr 20, 2026	CPython 3.13	CPython 3.13	Windows x86-32	Details
wkp-0.5.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 864.5 kB Apr 20, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
wkp-0.5.0-cp313-cp313-macosx_11_0_arm64.whl 106.4 kB Apr 20, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
wkp-0.5.0-cp312-cp312-win_amd64.whl 79.7 kB Apr 20, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
wkp-0.5.0-cp312-cp312-win32.whl 73.1 kB Apr 20, 2026	CPython 3.12	CPython 3.12	Windows x86-32	Details
wkp-0.5.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 864.9 kB Apr 20, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
wkp-0.5.0-cp312-cp312-macosx_11_0_arm64.whl 106.1 kB Apr 20, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
wkp-0.5.0-cp311-cp311-win_amd64.whl 80.1 kB Apr 20, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
wkp-0.5.0-cp311-cp311-win32.whl 73.6 kB Apr 20, 2026	CPython 3.11	CPython 3.11	Windows x86-32	Details
wkp-0.5.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 864.6 kB Apr 20, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
wkp-0.5.0-cp311-cp311-macosx_11_0_arm64.whl 107.2 kB Apr 20, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
wkp-0.5.0-cp310-cp310-win_amd64.whl 80.0 kB Apr 20, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
wkp-0.5.0-cp310-cp310-win32.whl 73.4 kB Apr 20, 2026	CPython 3.10	CPython 3.10	Windows x86-32	Details
wkp-0.5.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 853.0 kB Apr 20, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
wkp-0.5.0-cp310-cp310-macosx_11_0_arm64.whl 106.9 kB Apr 20, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
wkp-0.5.0-cp39-cp39-win_amd64.whl 80.2 kB Apr 20, 2026	CPython 3.9	CPython 3.9	Windows x86-64	Details
wkp-0.5.0-cp39-cp39-win32.whl 73.6 kB Apr 20, 2026	CPython 3.9	CPython 3.9	Windows x86-32	Details
wkp-0.5.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 853.1 kB Apr 20, 2026	CPython 3.9	CPython 3.9	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
wkp-0.5.0-cp39-cp39-macosx_11_0_arm64.whl 107.2 kB Apr 20, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details

Total release size: 5.6 MB

Release files / wkp-0.5.0-cp313-cp313-win_amd64.whl

Download URL	wkp-0.5.0-cp313-cp313-win_amd64.whl
Size	79.5 kB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`c25af639f11a26c717a2a9edffba85fbf7e7a804c4ddb91a1dcee3df4d5c9df6`
BLAKE2b-256 checksum How to use checksums	`b909d66f5492abcab6df5093c07d662d121411b97350c8d948237671d9173990`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

Artifact

Subject: wkp-0.5.0-cp313-cp313-win_amd64.whl
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Release files / wkp-0.5.0-cp313-cp313-win32.whl

Download URL	wkp-0.5.0-cp313-cp313-win32.whl
Size	73.0 kB
Tags	CPython 3.13 Windows x86-32
SHA-256 checksum How to use checksums	`0649015a56f09984a5d38b7cc066c35c4eced1f9e2621e775b4cc407d99cbef7`
BLAKE2b-256 checksum How to use checksums	`07115c6a5ed1c5203484cee9e4efa410d4790b757cb51d5c1ac3666dc94dad5f`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

Artifact

Subject: wkp-0.5.0-cp313-cp313-win32.whl
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Release files / wkp-0.5.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	wkp-0.5.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	864.5 kB
Tags	CPython 3.13 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`abfeedf18869dc3b4105dbfd221e4fdb2bc18f62333095e4272509e7db3a02a7`
BLAKE2b-256 checksum How to use checksums	`9012fe0cfcd08f6330d54f00c00531d4b4128209dd0e530284a7d1b07a8413ee`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

Artifact

Subject: wkp-0.5.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / wkp-0.5.0-cp313-cp313-macosx_11_0_arm64.whl

Download URL	wkp-0.5.0-cp313-cp313-macosx_11_0_arm64.whl
Size	106.4 kB
Tags	CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`88f0355fbaea6a4ace129715a332f858fc359615a4fe04ae1f3d75d622b1d203`
BLAKE2b-256 checksum How to use checksums	`faaa294735a57d5057f9c4a9d63d8f2f2c7880a525d5793bd6129a5e0bd98d04`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

Artifact

Subject: wkp-0.5.0-cp313-cp313-macosx_11_0_arm64.whl
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Release files / wkp-0.5.0-cp312-cp312-win_amd64.whl

Download URL	wkp-0.5.0-cp312-cp312-win_amd64.whl
Size	79.7 kB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`582850dab7ce3ba005062870b59a963d8373453e93f1e6f4db196a8e5e9f254d`
BLAKE2b-256 checksum How to use checksums	`e41057164cd4a85ebbf654a31747964d060bf3646282978ef870b07ad58b58e0`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

Artifact

Subject: wkp-0.5.0-cp312-cp312-win_amd64.whl
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Release files / wkp-0.5.0-cp312-cp312-win32.whl

Download URL	wkp-0.5.0-cp312-cp312-win32.whl
Size	73.1 kB
Tags	CPython 3.12 Windows x86-32
SHA-256 checksum How to use checksums	`b71fe650959477f618c83b243ee8647dd824175fe093d33abdcf8beaf2496dc1`
BLAKE2b-256 checksum How to use checksums	`a05849a45929e1456b1c5fb386e80ca4b2b95499f68204381e9558c38ed2865f`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

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Release files / wkp-0.5.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	wkp-0.5.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	864.9 kB
Tags	CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`4a070bb07c0d671cc45f83caf45b136400340608c6dc78597d2af2f2cb637cf4`
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Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
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Subject: wkp-0.5.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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Release files / wkp-0.5.0-cp312-cp312-macosx_11_0_arm64.whl

Download URL	wkp-0.5.0-cp312-cp312-macosx_11_0_arm64.whl
Size	106.1 kB
Tags	CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`f93413f6823a364d10a42c82f8355e1d5d2e6eb8818cae31e151585190b378a8`
BLAKE2b-256 checksum How to use checksums	`52ddcaea8043000a556945a0f60012d0eee0e45f7031b3372dcde30a28f4e6b2`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
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Artifact

Subject: wkp-0.5.0-cp312-cp312-macosx_11_0_arm64.whl
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Release files / wkp-0.5.0-cp311-cp311-win_amd64.whl

Download URL	wkp-0.5.0-cp311-cp311-win_amd64.whl
Size	80.1 kB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`813d18211845bf6b4c9710a78f4b5a5044ef8182f6786c1529bdda8e5c8cf648`
BLAKE2b-256 checksum How to use checksums	`f15cc10f853a62ac728d62f652a5130de8e394e052d3bf6bde1159bfd05c90d3`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

Workflow

Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
Publishing logs: github.com/kodonnell/wkp/actions/runs/24473024638/attempts/1

Artifact

Subject: wkp-0.5.0-cp311-cp311-win_amd64.whl
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Release files / wkp-0.5.0-cp311-cp311-win32.whl

Download URL	wkp-0.5.0-cp311-cp311-win32.whl
Size	73.6 kB
Tags	CPython 3.11 Windows x86-32
SHA-256 checksum How to use checksums	`a3e618d4e00e9feb7d0233459e7162889670530b83e755b93deff0aa582af743`
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Upload date	Apr 20, 2026
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Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp311-cp311-macosx_11_0_arm64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp310-cp310-win_amd64.whl

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Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp310-cp310-win32.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp310-cp310-macosx_11_0_arm64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp39-cp39-win_amd64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp39-cp39-win32.whl

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Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Release files / wkp-0.5.0-cp39-cp39-macosx_11_0_arm64.whl

Download URL	wkp-0.5.0-cp39-cp39-macosx_11_0_arm64.whl
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Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Publishing platform: GitHub Actions
Publishing repository: github.com/kodonnell/wkp
Publishing commit: github.com/kodonnell/wkp/tree/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617

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Publishing configuration: github.com/kodonnell/wkp/blob/dfb33cc7ff7a2a8e54a10ca2de27a94f2efdf617/.github/workflows/python.yml
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Artifact

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SHA-256 checksum: c4aba30468a6e9452959f02b69dcf5585c190276555839911a1632edb7a89374 Verifying attestations

Release history Release notifications | RSS feed

This release

0.5.0 This release

Apr 20, 2026 20 release files

0.4.0

Mar 30, 2026 20 release files

0.3.0

Mar 9, 2026 20 release files

0.2.0

Mar 2, 2026 20 release files

0.0.3

Feb 25, 2026 20 release files

0.0.2

Feb 25, 2026 20 release files

wkp 0.5.0

wkp (Python binding)

Architecture

Dependencies

Install (editable dev)

Build

Test

API

Geometry encode / decode

GeometryFrame — low-level flat representation

Float helpers

Context

Example

Benchmark

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Manual publish from GitHub

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1 maintainer

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Release files for wkp 0.5.0

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Release files / wkp-0.5.0-cp313-cp313-win_amd64.whl

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Release files / wkp-0.5.0-cp313-cp313-win32.whl

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Release files / wkp-0.5.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Release files / wkp-0.5.0-cp313-cp313-macosx_11_0_arm64.whl

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Release files / wkp-0.5.0-cp312-cp312-win_amd64.whl

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