teneva_ht_jax
Description
This python package, named teneva_ht_jax (tensor evaluation with Hierarchical Tucker and jax), provides a very compact implementation of basic operations in the Hierarchical Tucker (HT) format, including approximation and sampling from multidimensional arrays and multivariate functions. The program code is organized within a functional paradigm and it is very easy to learn and use.
Installation
Current version "0.1.2".
The package can be installed via pip: pip install teneva_ht_jax (it requires the Python programming language of the version >= 3.8). It can be also downloaded from the repository teneva_ht_jax and installed by python setup.py install command from the root folder of the project.
Required python packages numpy (1.22+), scipy (1.8+), jax (3.3+; cpu version) and optax (0.1.5+) will be automatically installed during the installation of the main software product. However, it is recommended that you manually install them first.
Documentation and examples
- See detailed online documentation for a description and various numerical examples for each function.
- See the jupyter notebooks in the
./demofolder with brief description and demonstration of the capabilities of each function from theteneva_ht_jaxpackage. Note that all examples from this folder are also presented in the online documentation.
Authors
- Andrei Chertkov
- Gleb Ryzhakov
- Ivan Oseledets
- Will be extended soon ;)
✭ 🚂 The stars that you give to teneva_ht_jax, motivate us to develop faster and add new interesting features to the code 😃
1 maintainer
Metadata
1 maintainer
Release files for teneva-ht-jax 0.1.2
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 | |
|---|---|---|---|---|
| teneva_ht_jax-0.1.2.tar.gz | 17.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| teneva_ht_jax-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.6 kB
Release files / teneva_ht_jax-0.1.2.tar.gz
| Download URL | teneva_ht_jax-0.1.2.tar.gz |
|---|---|
| Size | 17.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3c277ec923b98a38c7bc41a68aaf3c1cc7918f34b350f09f59d816b0234cdc00
|
|
BLAKE2b-256 checksum How to use checksums |
ced46d2e83026b6e2abb2b0c26b87cddb33e8261a0d36fc4a0dbeb96a762300a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.16
|
Release files / teneva_ht_jax-0.1.2-py3-none-any.whl
| Download URL | teneva_ht_jax-0.1.2-py3-none-any.whl |
|---|---|
| Size | 7.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d51a724f934cbd84ed0df11ea948cfa284b31ce857033c5630778e883fbc5d4c
|
|
BLAKE2b-256 checksum How to use checksums |
a6174f7005de4f46b7b015d2174f9d0ba67954a44dbdb4e709d912d0a15aca33
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.16
|
Security for teneva-ht-jax 0.1.2
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.
