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Conda-package #39

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merged 8 commits into from
Dec 13, 2024
Merged

Conda-package #39

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9a1ed19
Add Conda installation hints
claudiushaag Dec 12, 2024
7fcf88c
Change gitignore to actually allow sphere32
claudiushaag Dec 12, 2024
cd84e3e
Update README.md
sanathkeshav Dec 12, 2024
f10d508
Update README.md
sanathkeshav Dec 12, 2024
b3a10e5
Update README.md
sanathkeshav Dec 12, 2024
90bddcf
Update README.md
sanathkeshav Dec 12, 2024
ef5919c
Update README.md
sanathkeshav Dec 12, 2024
a14b0c0
Fix markdown formatting
IshaanDesai Dec 13, 2024
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2 changes: 1 addition & 1 deletion .gitignore
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Expand Up @@ -198,7 +198,7 @@ test/input_files/**/*.json
**/scratch/

# Test microstructure files
!sphere.h5
!sphere32.h5

# Test input files
!test_LinearElastic.json
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17 changes: 16 additions & 1 deletion README.md
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Expand Up @@ -9,7 +9,7 @@ Fourier Accelerated Nodal Solvers (FANS) is an FFT-based homogenization solver d
- [Dependencies](#dependencies)
- [Building](#building)
- [Installing](#installing)
- [Input file format](#input-file-format)
- [Input File Format](#input-file-format)
- [Examples](#examples)

## Dependencies
Expand Down Expand Up @@ -144,6 +144,21 @@ Install FANS (system-wide) using the following options:
apt install packages/fans-dev_<version>_<architecture>.deb
```

### Install using Conda
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[![Anaconda-Server Badge](https://anaconda.org/conda-forge/fans/badges/version.svg)](https://anaconda.org/conda-forge/fans)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/fans/badges/platforms.svg)](https://anaconda.org/conda-forge/fans)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/fans/badges/downloads.svg)](https://anaconda.org/conda-forge/fans)

FANS is also available as a conda-package on [conda-forge](https://anaconda.org/conda-forge/fans). No dependencies have to be manually installed for it to work.
It can be installed via

```bash
conda install fans
```
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exposing the executable `FANS`.

## Input File Format
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FANS requires a JSON input file specifying the problem parameters. Example input files can be found in the [`test/input_files`](test/input_files) directory. It is recommended to use these files as a reference to create your own input file.
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