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torch-fem

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0.3.8 torch_fem-0.3.8-py3-none-any.whl

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Project: torch-fem
Version: 0.3.8
Filename: torch_fem-0.3.8-py3-none-any.whl
Download: [link]
Size: 2700301
MD5: c6f95d318d96e1d43a68bfe5b7fd03dc
SHA256: 1d36af9b77ad3e928af0cc8fb441a7cb5105835caf5e6b3574ae46b6459ae566
Uploaded: 2025-02-10 08:03:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.2
Name: torch-fem
Version: 0.3.8
Summary: GPU accelerated differential finite elements for solid mechanics with PyTorch.
Author-Email: Nils Meyer <nils.meyer[at]uni-a.de>
Project-Url: source, https://github.com/meyer-nils/torch-fem
License: Copyright 2024 Nils Meyer Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: finite elements,automatic differentiation
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
Requires-Dist: ipywidgets
Requires-Dist: ipykernel
Requires-Dist: matplotlib
Requires-Dist: memory_profiler
Requires-Dist: meshio
Requires-Dist: meshzoo
Requires-Dist: pyamg
Requires-Dist: pyvista
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: torch
Requires-Dist: trame
Requires-Dist: trame-vuetify
Requires-Dist: trame-vtk
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 9573 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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torchfem/elements.py sha256=awdcmVB_JCzqeMjf_NuTIjEf8rQYwD1cdugZWHZ6Nbc 29521
torchfem/examples.py sha256=O3lj8T7zxMGWxXBdGqX3G2GPZMttnVAsMjfPqpeorXY 209
torchfem/homogenization.py sha256=YpjLhgqzir-oAjVvVtO9wJ8l7UIYYAQn5HyW-W-0RsE 14292
torchfem/io.py sha256=SPUOxEkg5XY3ryUW8wjJpeonBb53O0FaNSN35WevwUo 2689
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torchfem/mesh.py sha256=VDEJZhzMKpIFTF5wLO980oTF1Q7OegSZs3bQnS7VwwA 873
torchfem/planar.py sha256=QM36W7olF7rbhVQZ5s3ZLqiRwCRqBtUIIdb9DFz60qY 6707
torchfem/rotations.py sha256=GG9y1W93Ik6XYiQZrQkIK-dHNPoQIEhQHIU8A2NjqJc 9606
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torchfem/shell.py sha256=cQzzLnOGk6-xd3SL7DJuClLgCJZmUribA_zkGZeoKQM 12843
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torch_fem-0.3.8.dist-info/LICENSE sha256=7VgGnhkMnRyQgAeALT7XFrYQB33EXuW0d9He-AWsCOU 1057
torch_fem-0.3.8.dist-info/METADATA sha256=Mont5ez0M5Yxkf-d143rHK8VbY87-_loME73wD8JquQ 11657
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torch_fem-0.3.8.dist-info/RECORD — —

top_level.txt

torchfem