HypercubeCNN
Python bindings for HypercubeCNN — a dependency-free convolutional neural
network whose feature map is a Boolean hypercube. Choose a dimension DIM; each channel then lives on
exactly N = 2^DIM vertices (for example DIM 6 → 64 sites, DIM 10 → 1024).
A local filter at a vertex reaches only that site and its nearest neighbors,
and every neighbor index is a single XOR on the binary address — no spatial
grid, no adjacency list, no stencil table to store. The activations stay
ordinary real-valued units (ReLU, tanh, …); only the topology is binary, so
capacity is power-of-two by construction and packing non-cube data is host work.
You stack local layers, train for classification or regression, and save weights
with a small architecture sidecar. Optional helpers map images onto length N;
data that already lives at 2^D (reservoir or ESN state, fingerprints, product
features) can drive the network with no packing step.
Compared with a standard vision CNN, the shared-weight stack and end-to-end training stay familiar — only the domain changes. A usual network slides a window on a rectangle and pads the borders; here every site has the same neighbors under the cube’s symmetry, with no image edge and no stencil table. Pixels are not native: pack them onto the N sites first, then train on those length-N inputs.
HypercubeAI ecosystem
HypercubeESN · HypercubeCNN · HypercubeHopfield · HypercubeWTF · HypercubeEtalon · HypercubeCascade · HypercubeLCN
📄 Foundational paper: Boolean Hypercubes as a Neural Substrate (D. C. Liptak, 2026)
HypercubeCNN is an experiment in the HypercubeAI project — our quest to systematically re-implement classical neural architectures on a Boolean hypercube topology instead of Euclidean grids or random graphs. The central thesis is “topology-native intelligence”: the hypercube’s algebraic structure (vertex-transitive symmetry, Hamming geometry, bitwise addressing) can serve as a first-class computational substrate.
- A topology you don’t store — the graph is specified: connectivity is implicit in the vertex indices; with a seed and a few config scalars the whole reservoir reconstructs mathematically.
- Perfect homogeneity — every vertex has the same degree and the same local world, so local dynamics mean the same thing everywhere — no structural favorites baked in by a random graph.
- Cheap navigation — each neighbor is a few bit operations on the vertex index, not a pointer chase through a stored edge list, so walks stay arithmetic and cache-friendly.
- Topology-native pairing — the readout consumes the reservoir’s output with zero geometric distortion, and the learned kernels exploit the same locality that generated the dynamics. The data never leaves the hypercube it was born on.
Each product in the family is a different architecture on that same foundation.
Installation
pip install hypercube-cnn
Pre-built wheels for Python 3.10–3.13 on Windows (x64), Linux (x86_64, aarch64), and macOS (x86_64, arm64). No compiler required.
From source
git clone https://github.com/dliptak001/HypercubeCNN.git
cd HypercubeCNN
pip install .
Requires Python 3.10+, a C++23 compiler, and CMake ≥ 3.21. On Windows with
CLion’s bundled MinGW, put that toolchain’s bin (and Ninja) on PATH, set
CMAKE_GENERATOR=Ninja, and point CC/CXX at the MinGW gcc/g++ — exact
install paths change with the CLion version. Then:
pip install . --no-build-isolation --force-reinstall --no-deps
Quick start
import numpy as np
import hypercube_cnn as hc
net = hc.HCNNConfig(
dim=6,
num_outputs=3,
layers=[
hc.LayerSpec.conv(8, bn=True),
hc.LayerSpec.pool("max"),
hc.LayerSpec.conv(8),
],
weight_seed=1,
).build()
x = np.random.randn(net.N).astype(np.float32) # full capacity N = 2**dim
logits = net.predict(x)
cls = net.predict_class(x)
net.train_step(x, target=0, params=hc.TrainParams(learning_rate=1e-3))
net.save("model") # model.hcnw + model.arch.json
Features
- Core train/infer — classification (CE) and regression (MSE); NumPy float32
- Architecture product —
LayerSpec/HCNNConfig, export/import arch JSON - Model I/O — HCNW weights + arch sidecar (C++ interop); pickle as secondary
- Spatial pack —
SpatialEmbedder/SpatialAugmenterfor H×W → length N - Train helpers —
evaluate_classification/evaluate_regression,cosine_lr - Contracts — capacity
input_channels * 2**dim; after packing, pass length-N inputs
Documentation
Full API reference: docs/Python_SDK.md
C++ contracts: docs/CPP_SDK.md
In-repo recipes: examples/python/
Project repository: github.com/dliptak001/HypercubeCNN
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for hypercube-cnn 1.0.5
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 |
|---|---|---|---|---|
| hypercube_cnn-1.0.5.tar.gz | 872.7 kB | With provenance | Details for hypercube_cnn-1.0.5.tar.gz |
Built distributions (wheels)
Total release size: 7.0 MB
Release files / hypercube_cnn-1.0.5.tar.gz
| Download URL | hypercube_cnn-1.0.5.tar.gz |
|---|---|
| Size | 872.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
67bfb2ca1587d825b61f992b9dbd875f8f0c73bdd549cc0c2be4c2a6859674ff
|
|
BLAKE2b-256 checksum How to use checksums |
2960adcb7712cd09a2858b00e51e1cdc3a048dd2caabf1510617f0b3360276f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp313-cp313-win_amd64.whl
| Download URL | hypercube_cnn-1.0.5-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 448.0 kB |
| Tags | CPython 3.13 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
839ad47b73dc2fd486b8b1d31cbb8b599306ae5d42226f8a332416d4c4935061
|
|
BLAKE2b-256 checksum How to use checksums |
84d20547f7b65be2eb8f670e78295401586a97ea37b7b38385e4665a0f0aff6c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 297.1 kB |
| Tags | CPython 3.13 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
da8e7a8ee1a9acedab76b508cde28ba8f314c74401b73f29f9bcea98d7809b56
|
|
BLAKE2b-256 checksum How to use checksums |
b019ca1533a8d5dd9ca1303a8b6a265fde41afbb268de91126f62b237cb7255a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
| Download URL | hypercube_cnn-1.0.5-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 267.9 kB |
| Tags | CPython 3.13 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
dbb749a817cdec30860e0a3fd43e4a12ab9dd20dcf5c89c5eeb6a7c16eeff0c5
|
|
BLAKE2b-256 checksum How to use checksums |
627cbfb923cd35604b60a1cb0f98045d052900aae8c58a5fe2b7cffd6229405d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp313-cp313-macosx_13_0_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp313-cp313-macosx_13_0_x86_64.whl |
|---|---|
| Size | 278.7 kB |
| Tags | CPython 3.13 macOS 13.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
34d60f678904ef2ca3de024b75f9ecc796b3da574c74a8089fa6387af47f8287
|
|
BLAKE2b-256 checksum How to use checksums |
6a07adcd64f678b849748aa360275e91c47b2524253a9c8186c4d0a675290523
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp313-cp313-macosx_13_0_arm64.whl
| Download URL | hypercube_cnn-1.0.5-cp313-cp313-macosx_13_0_arm64.whl |
|---|---|
| Size | 249.1 kB |
| Tags | CPython 3.13 macOS 13.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
2ba725e1a3ea35221beacf03d065e6c09196e6d09a5e859beb9769c965687d42
|
|
BLAKE2b-256 checksum How to use checksums |
45d6ba1a73422d6e58901c3b2bc0b3de8fd36a1724c4832d6e1ed337609251dc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp312-cp312-win_amd64.whl
| Download URL | hypercube_cnn-1.0.5-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 448.0 kB |
| Tags | CPython 3.12 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
b837e860f6126110ea097a61b61b588661a78bc8939136d2a3f0954d19d99d21
|
|
BLAKE2b-256 checksum How to use checksums |
8d785da6076efc9b5f2fe8af5444e4e88b56197f59c425cf9ebd73792f0ec392
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 296.8 kB |
| Tags | CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
69c151df652339ca3d27bbb566570c946500afde6fe8627a559d251aed513a55
|
|
BLAKE2b-256 checksum How to use checksums |
7ccf5f5549e84f18f58b208e5b2cba7ea49d41e0f8cfb8044c55913ee472c032
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
| Download URL | hypercube_cnn-1.0.5-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 268.1 kB |
| Tags | CPython 3.12 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
28908e599042a15417189ac500b7acd979066285a9a226c916e81c590ffd9075
|
|
BLAKE2b-256 checksum How to use checksums |
b165cbc1ad82d0ccfa83c27dccc82b59ed926abb8f128f7381867a620a4db9af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp312-cp312-macosx_13_0_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp312-cp312-macosx_13_0_x86_64.whl |
|---|---|
| Size | 278.6 kB |
| Tags | CPython 3.12 macOS 13.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
2725cc3da823e20610768900a2b68433ffbb9720a1168110dad066a2c4a7faf1
|
|
BLAKE2b-256 checksum How to use checksums |
9de8aca8890d3150b02b248fa77d1720aeddb667da0389e324cb5fafcde1ad46
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp312-cp312-macosx_13_0_arm64.whl
| Download URL | hypercube_cnn-1.0.5-cp312-cp312-macosx_13_0_arm64.whl |
|---|---|
| Size | 249.1 kB |
| Tags | CPython 3.12 macOS 13.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
40ffee637ab2c62b55584e02da43de42b0595d189fa8db0b9c04c4151f55a462
|
|
BLAKE2b-256 checksum How to use checksums |
95c287b2e4f0fa26d5e21785f9ab8ace85ab06d671828445ea2a33e7fb325a8e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp311-cp311-win_amd64.whl
| Download URL | hypercube_cnn-1.0.5-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 444.7 kB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
7d8ded533e4e97f47b79b91ca993ebbfce18f0e3acb1339a2d2154eacec333f3
|
|
BLAKE2b-256 checksum How to use checksums |
9a2a32e9593e73813fd7b4cd4a0e8780fa403b38d91c3e8cfdb10af12797491d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 295.6 kB |
| Tags | CPython 3.11 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
efed72f9179771e389f140c258f339eac51d388ee26599262f1a0d01130945aa
|
|
BLAKE2b-256 checksum How to use checksums |
ad668fca69107d36dff7c1ce66b27df3ce98ed61a4f692e1addf1c341fcf0c37
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
| Download URL | hypercube_cnn-1.0.5-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 266.8 kB |
| Tags | CPython 3.11 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
0cb795cf50046c8d47a93c3f2c0f689bc151b9c9069782b0775f5a1ad40b0784
|
|
BLAKE2b-256 checksum How to use checksums |
3e9d5ad083c68f79afb804b4117056526681d67d381ca821b48f308d834ab03e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp311-cp311-macosx_13_0_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp311-cp311-macosx_13_0_x86_64.whl |
|---|---|
| Size | 273.9 kB |
| Tags | CPython 3.11 macOS 13.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
be33ca755287c242d971ad02c1f8d96770bf6f12526f7cc28d22a8c55ef6a61c
|
|
BLAKE2b-256 checksum How to use checksums |
b0fef72dd7b914fbbd16f3fff5d9738ff3fb55a0e6467e77d4df9d4fe4afa6e9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp311-cp311-macosx_13_0_arm64.whl
| Download URL | hypercube_cnn-1.0.5-cp311-cp311-macosx_13_0_arm64.whl |
|---|---|
| Size | 246.5 kB |
| Tags | CPython 3.11 macOS 13.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
1e886cf7bb9cb0fc2690b861270f81a4691216eef18a6cd461e1562ea4e332bb
|
|
BLAKE2b-256 checksum How to use checksums |
452b10361e9de69a2a61dbb4ac4091d2ee8a10010c8848b6e56b8e251f42b3b2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp310-cp310-win_amd64.whl
| Download URL | hypercube_cnn-1.0.5-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 443.8 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
a11789bea720fc6f0c7a34cb70fbd18a0bb5be2480a40c4e3c1b58bb0e2821b2
|
|
BLAKE2b-256 checksum How to use checksums |
f5e280e3075e81f1433c3a2b45ce40f856cebb287c78f7df2c0121061ef312f4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 295.5 kB |
| Tags | CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
e88cedfeb4561364c33fb5fa9e131a44e2680b76e50a2b331d94da2a7b07829e
|
|
BLAKE2b-256 checksum How to use checksums |
0ea87c78d75e5e417a5865b18390effbf94caee86773bf9173d58b570d33ee65
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
| Download URL | hypercube_cnn-1.0.5-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 267.2 kB |
| Tags | CPython 3.10 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
2098c6a510910c73e48ded18bb2a11136aa5022b564b4b391c4b666e1b6b0be7
|
|
BLAKE2b-256 checksum How to use checksums |
9759676672b8d3cb921508697fff4185b44788e0a3c9b40a99e94820c6299c8d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp310-cp310-macosx_13_0_x86_64.whl
| Download URL | hypercube_cnn-1.0.5-cp310-cp310-macosx_13_0_x86_64.whl |
|---|---|
| Size | 272.5 kB |
| Tags | CPython 3.10 macOS 13.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
e97709f38a7377ab06c5afa396267630f8545b3be66664b80e978bc9324be94d
|
|
BLAKE2b-256 checksum How to use checksums |
198c4900454a69c8cb0c69a6f3ce824ff7367da8faed4d85e09ced1bb0ce41d6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logRelease files / hypercube_cnn-1.0.5-cp310-cp310-macosx_13_0_arm64.whl
| Download URL | hypercube_cnn-1.0.5-cp310-cp310-macosx_13_0_arm64.whl |
|---|---|
| Size | 245.2 kB |
| Tags | CPython 3.10 macOS 13.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
3a28c93f8bf4698da7a9413eccf75ab7e669d12455e2aba48f852e35a6d4a88d
|
|
BLAKE2b-256 checksum How to use checksums |
16c1e1b83cbeeee03b5d52efbcfd872075c91f1be7887944e9ba66876a8b1207
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logSecurity for hypercube-cnn 1.0.5
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.
Full provenance
All 21 files in this release have been uploaded with provenance metadata.
Attestation for hypercube_cnn-1.0.5.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 4, 2026.
Transparency logA 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.
