<a class="reference external image-reference" href="https://gitlab.com/benvial/pylatt/-/releases" target="_blank"><img alt="Release" src="https://img.shields.io/endpoint?url=https://gitlab.com/benvial/pylatt/-/jobs/artifacts/main/raw/logobadge.json?job=badge&labelColor=c9c9c9"></a>
<a class="reference external image-reference" href="https://gitlab.com/benvial/pylatt/commits/main" target="_blank"><img alt="Release" src="https://img.shields.io/gitlab/pipeline/benvial/pylatt/main?logo=gitlab&labelColor=dedede&style=for-the-badge"></a>
<a class="reference external image-reference" href="https://gitlab.com/benvial/pylatt/commits/main" target="_blank"><img alt="Release" src="https://img.shields.io/gitlab/coverage/benvial/pylatt/main?logo=python&logoColor=e9d672&style=for-the-badge"></a>
<a class="reference external image-reference" href="https://black.readthedocs.io/en/stable/" target="_blank"><img alt="Release" src="https://img.shields.io/badge/code%20style-black-dedede.svg?logo=python&logoColor=e9d672&style=for-the-badge"></a>
<a class="reference external image-reference" href="https://gitlab.com/benvial/pylatt/-/blob/main/LICENSE.txt" target="_blank"><img alt="Release" src="https://img.shields.io/badge/license-GPLv3-blue?color=aec2ff&logo=open-access&logoColor=aec2ff&style=for-the-badge"></a>
# PYLATT
**Numerical models of mechanical lattices (truss/frame structures)**
<!-- start elevator-pitch -->
- **Easy to use interface** --- define only the nodes and beams in the irreducible unit cell.
- **Calculation of phononic band diagrams** --- with utilities to define the path along the edges of the Brillouin zone.
- **Auto-diferentiable** --- allowing the optimization of discrete metamaterials.
<!-- end elevator-pitch -->
<!-- start installation -->
## Installation
### From Pypi
Simply run
```bash
pip install pylatt
```
If you want more numerical backends (pytorch, autograd and jax), including
auto-differentiation and GPU acceleration, install the full version:
```bash
pip install pylatt[full]
```
### From source
Clone the repository
```bash
git clone https://gitlab.com/benvial/pylatt.git
cd pylatt
```
Install the package locally
```bash
pip install -e .
```
For the full version:
```bash
pip install -e .[full]
```
### From gitlab
Basic:
```bash
pip install -e git+https://gitlab.com/benvial/pylatt.git#egg=pylatt
```
Full:
```bash
pip install -e git+https://gitlab.com/benvial/pylatt.git#egg=pylatt[full]
```
<!-- end installation -->
Raw data
{
"_id": null,
"home_page": "https://gitlab.com/benvial/pylatt",
"name": "pylatt",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": "",
"keywords": "lattices,auto-differentiation,linear algebra",
"author": "Benjamin Vial",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/b7/5e/b9ff9e1cdbbe87f72f06813e68ed890f5df32f3c3806b11ded44ede6bab9/pylatt-1.0.0.tar.gz",
"platform": null,
"description": "\n<a class=\"reference external image-reference\" href=\"https://gitlab.com/benvial/pylatt/-/releases\" target=\"_blank\"><img alt=\"Release\" src=\"https://img.shields.io/endpoint?url=https://gitlab.com/benvial/pylatt/-/jobs/artifacts/main/raw/logobadge.json?job=badge&labelColor=c9c9c9\"></a> \n<a class=\"reference external image-reference\" href=\"https://gitlab.com/benvial/pylatt/commits/main\" target=\"_blank\"><img alt=\"Release\" src=\"https://img.shields.io/gitlab/pipeline/benvial/pylatt/main?logo=gitlab&labelColor=dedede&style=for-the-badge\"></a> \n<a class=\"reference external image-reference\" href=\"https://gitlab.com/benvial/pylatt/commits/main\" target=\"_blank\"><img alt=\"Release\" src=\"https://img.shields.io/gitlab/coverage/benvial/pylatt/main?logo=python&logoColor=e9d672&style=for-the-badge\"></a>\n<a class=\"reference external image-reference\" href=\"https://black.readthedocs.io/en/stable/\" target=\"_blank\"><img alt=\"Release\" src=\"https://img.shields.io/badge/code%20style-black-dedede.svg?logo=python&logoColor=e9d672&style=for-the-badge\"></a>\n<a class=\"reference external image-reference\" href=\"https://gitlab.com/benvial/pylatt/-/blob/main/LICENSE.txt\" target=\"_blank\"><img alt=\"Release\" src=\"https://img.shields.io/badge/license-GPLv3-blue?color=aec2ff&logo=open-access&logoColor=aec2ff&style=for-the-badge\"></a>\n\n\n# PYLATT\n\n**Numerical models of mechanical lattices (truss/frame structures)**\n\n<!-- start elevator-pitch -->\n\n- **Easy to use interface** --- define only the nodes and beams in the irreducible unit cell.\n- **Calculation of phononic band diagrams** --- with utilities to define the path along the edges of the Brillouin zone.\n- **Auto-diferentiable** --- allowing the optimization of discrete metamaterials.\n\n\n<!-- end elevator-pitch -->\n\n\n<!-- start installation -->\n\n## Installation\n\n### From Pypi\n\nSimply run\n\n```bash \npip install pylatt\n```\nIf you want more numerical backends (pytorch, autograd and jax), including \nauto-differentiation and GPU acceleration, install the full version:\n\n```bash \npip install pylatt[full]\n```\n\n### From source\n\nClone the repository\n\n```bash \ngit clone https://gitlab.com/benvial/pylatt.git\ncd pylatt\n```\n\nInstall the package locally\n\n```bash \npip install -e .\n```\n\nFor the full version:\n\n```bash \npip install -e .[full]\n```\n\n### From gitlab\n\nBasic:\n\n```bash \npip install -e git+https://gitlab.com/benvial/pylatt.git#egg=pylatt\n```\n\n\nFull:\n\n```bash \npip install -e git+https://gitlab.com/benvial/pylatt.git#egg=pylatt[full]\n```\n\n<!-- end installation -->\n",
"bugtrack_url": null,
"license": "GPL-3.0-or-later",
"summary": "Mechanical lattices",
"version": "1.0.0",
"project_urls": {
"Code": "https://gitlab.com/benvial/pylatt",
"Documentation": "https://benvial.gitlab.io/pylatt",
"Homepage": "https://gitlab.com/benvial/pylatt",
"Issues": "https://gitlab.com/benvial/pylatt/issues"
},
"split_keywords": [
"lattices",
"auto-differentiation",
"linear algebra"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8d991e621314ec4ee875106f7da2d8fde505f3876b546985f55dd17858822531",
"md5": "62c994b85ddefdd48581700864ec0a75",
"sha256": "b2cadecf9b06c835b587c95dc266b875d80bf33aa3c20ecc3dcb270355afd839"
},
"downloads": -1,
"filename": "pylatt-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "62c994b85ddefdd48581700864ec0a75",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 28620,
"upload_time": "2023-06-09T15:27:26",
"upload_time_iso_8601": "2023-06-09T15:27:26.900722Z",
"url": "https://files.pythonhosted.org/packages/8d/99/1e621314ec4ee875106f7da2d8fde505f3876b546985f55dd17858822531/pylatt-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b75eb9ff9e1cdbbe87f72f06813e68ed890f5df32f3c3806b11ded44ede6bab9",
"md5": "f40dbb17c27ab0f01239f78120f4a1cc",
"sha256": "067c6715c9a4ee6a3e401a5262ced63caa10b0498a4b11791ed6f8f4b9a3b353"
},
"downloads": -1,
"filename": "pylatt-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "f40dbb17c27ab0f01239f78120f4a1cc",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 28989,
"upload_time": "2023-06-09T15:27:30",
"upload_time_iso_8601": "2023-06-09T15:27:30.707873Z",
"url": "https://files.pythonhosted.org/packages/b7/5e/b9ff9e1cdbbe87f72f06813e68ed890f5df32f3c3806b11ded44ede6bab9/pylatt-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-06-09 15:27:30",
"github": false,
"gitlab": true,
"bitbucket": false,
"codeberg": false,
"gitlab_user": "benvial",
"gitlab_project": "pylatt",
"lcname": "pylatt"
}
JSON