goldenanalysis-native
Optional native (Rust/PyO3) acceleration kernels for
goldenanalysis.
You don't import this directly. goldenanalysis stays a pure-Python wheel;
pip install goldenanalysis[native] pulls this compiled abi3 wheel, and
goldenanalysis.core._native_loader discovers it (falling back to the pure-Python
path when it isn't present).
The kernel mirrors the pure-Python aggregation loops in
goldenanalysis/core/aggregate.py (histogram, quantile) value-for-value, reading
input as a Float64 Arrow array (zero-copy, C Data Interface). A primitive is only
used under GOLDENANALYSIS_NATIVE=auto once it has cleared
_native_loader._GATED_ON — proven byte-identical and measured to move the wall
on a real shape. The two-crate split (pyo3-free analysis-core + this abi3 shim)
mirrors goldencheck-core/goldencheck-native.
Build in-tree for local dev (drops goldenanalysis/_native.abi3.so):
uv run python scripts/build_analysis_native.py
MIT.
Metadata
Release files for goldenanalysis-native 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| goldenanalysis_native-0.2.0.tar.gz | 20.8 kB | Without provenance | Details for goldenanalysis_native-0.2.0.tar.gz |
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| goldenanalysis_native-0.2.0-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details for goldenanalysis_native-0.2.0-cp311-abi3-win_amd64.whl |
| goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.28+ x86-64 | Details for goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_x86_64.whl |
| goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_aarch64.whl | CPython 3.11 | abi3 | Linux glibc 2.28+ ARM64 | Details for goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_aarch64.whl |
| goldenanalysis_native-0.2.0-cp311-abi3-macosx_11_0_arm64.whl | CPython 3.11 | abi3 | macOS 11.0+ ARM64 | Details for goldenanalysis_native-0.2.0-cp311-abi3-macosx_11_0_arm64.whl |
| goldenanalysis_native-0.2.0-cp311-abi3-macosx_10_12_x86_64.whl | CPython 3.11 | abi3 | macOS 10.12+ x86-64 | Details for goldenanalysis_native-0.2.0-cp311-abi3-macosx_10_12_x86_64.whl |
Total release size: 2.9 MB
Release files / goldenanalysis_native-0.2.0.tar.gz
| Download URL | goldenanalysis_native-0.2.0.tar.gz |
|---|---|
| Size | 20.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
45cf34a2a67b65dbbffb6dd86688ce79b25383ac6d6a3a114afad383d89936aa
|
|
BLAKE2b-256 checksum How to use checksums |
38b71644fe526489fb03d4a8bbaf520f26ec650aaa9cc86a89f3c279595b3152
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Release files / goldenanalysis_native-0.2.0-cp311-abi3-win_amd64.whl
| Download URL | goldenanalysis_native-0.2.0-cp311-abi3-win_amd64.whl |
|---|---|
| Size | 473.2 kB |
| Tags | CPython 3.11 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
ca78244ec584950cbbbf48009727d348fbf91e54acd26d561f810d37286b98df
|
|
BLAKE2b-256 checksum How to use checksums |
2d866c3c5794ed970827cfbc0724b8515aee08ada5ff23c7277429225d9a90f1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Release files / goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_x86_64.whl
| Download URL | goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 645.2 kB |
| Tags | CPython 3.11 Linux glibc 2.28+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
b59dbf2b2ac3858be5da12725accd29453a536e2edd6561b9d1230d710dac618
|
|
BLAKE2b-256 checksum How to use checksums |
682f0cecd22ff69ef24b92230b1da6244ada061ae383cf985f79daa6d15ac80b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Release files / goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_aarch64.whl
| Download URL | goldenanalysis_native-0.2.0-cp311-abi3-manylinux_2_28_aarch64.whl |
|---|---|
| Size | 643.5 kB |
| Tags | CPython 3.11 Linux glibc 2.28+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
e019fed71e3acadb5fccb4d1e270d029c4907d01946edd4b8c343fb0d8b41e74
|
|
BLAKE2b-256 checksum How to use checksums |
a011f0f19b6d85d503a18e275949a13513e7c0df2b78ea59b13bb9def6749103
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Release files / goldenanalysis_native-0.2.0-cp311-abi3-macosx_11_0_arm64.whl
| Download URL | goldenanalysis_native-0.2.0-cp311-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 569.3 kB |
| Tags | CPython 3.11 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
d1864900ff5316da17135e198cc81ef2a6dd1c909ea98957b05dec54f0469819
|
|
BLAKE2b-256 checksum How to use checksums |
c0034b7857d822ca27a10d1977a0911cc5b9e37ad35da3c7b89192fede2ff46e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Release files / goldenanalysis_native-0.2.0-cp311-abi3-macosx_10_12_x86_64.whl
| Download URL | goldenanalysis_native-0.2.0-cp311-abi3-macosx_10_12_x86_64.whl |
|---|---|
| Size | 593.7 kB |
| Tags | CPython 3.11 abi3 macOS 10.12+ x86-64 |
|
SHA-256 checksum How to use checksums |
7203acc563ef4f787899e229d9ae03c8600f62ecd6d81f19aca001765fca7b79
|
|
BLAKE2b-256 checksum How to use checksums |
69311782260b64c6c8d7684d3b52d19070c9fe1e58b060d1f635dca37a2a8480
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Security for goldenanalysis-native 0.2.0
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.