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# TREXIO

<img src="https://trex-coe.eu/sites/default/files/styles/responsive_no_crop/public/2022-01/TREXIO%20Code.png" width=200>

[![build](https://github.com/TREX-CoE/trexio/actions/workflows/actions.yml/badge.svg)](https://github.com/TREX-CoE/trexio/actions/workflows/actions.yml)
Expand All @@ -15,26 +15,96 @@ which enables fast read and write operations. It is compatible with a variety
of platforms and has interfaces for the Fortran, Python, OCaml and Rust
programming languages.

## Distributing TREXIO with your code
* [TREXIO](#trexio)
* [Installation](#installation)
* [Installation using a package manager](#installation-using-a-package-manager)
* [Debian/Ubuntu](#debianubuntu)
* [Conda](#conda)
* [Spack](#spack)
* [Guix](#guix)
* [Installation from source](#installation-from-source)
* [Minimal requirements (for users):](#minimal-requirements-for-users)
* [Recommended: Installation from the release tarball](#recommended-installation-from-the-release-tarball)
* [Compilation without the HDF5 library](#compilation-without-the-hdf5-library)
* [For TREXIO developers: from the GitHub repo clone](#for-trexio-developers-from-the-github-repo-clone)
* [Using CMake instead of Autotools](#using-cmake-instead-of-autotools)
* [Using TREXIO](#using-trexio)
* [Naming convention](#naming-convention)
* [Tutorial](#tutorial)
* [Documentation](#documentation)
* [Linking to your program](#linking-to-your-program)
* [Distributing TREXIO with your code](#distributing-trexio-with-your-code)
* [APIs for other languages](#apis-for-other-languages)
* [Python](#python)
* [Rust](#rust)
* [OCaml](#ocaml)
* [Citation](#citation)
* [Miscellaneous](#miscellaneous)


## Installation
### Installation using a package manager
#### Conda

The TREXIO software is distributed under the 3-clause BSD license, renowned for
its permissiveness. Consequently, it is entirely acceptable for you to
provide the TREXIO release tarball in conjunction with your own code.
Should you opt to include TREXIO with your software, it is recommended to
distribute the release tarball, instead of the content of the git repository.
The release tarballs contain pre-generated source files. This not only
accelerates the compilation process but also significantly reduces dependency
requirements.
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/trexio/badges/version.svg)](https://anaconda.org/conda-forge/trexio)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/trexio/badges/platforms.svg)](https://anaconda.org/conda-forge/trexio)

The official releases of TREXIO `>2.0.0` are also available via the `conda-forge` channel.
The pre-compiled stable binaries of `trexio` can be installed as follows:

```
conda install -c conda-forge trexio
```

More details can be found in the corresponding [trexio-feedstock](https://github.com/conda-forge/trexio-feedstock).
Note that both parallel (see `mpi_openmpi` prefix) and serial (`nompi`) variants are provided.

#### Spack

The official releases `>=2.0.0` and the development version of TREXIO can be installed using the
[Spack](https://spack.io/) package manager.
The [trexio/package.py](https://github.com/spack/spack/blob/develop/var/spack/repos/builtin/packages/trexio/package.py)
file contains the Spack specifications required to build different variants of `trexio` library.
It can be installed as follows

```
spack install --jobs `getconf _NPROCESSORS_ONLN` trexio
```

#### Guix

The official releases of TREXIO `>=2.0.0` can be installed using the
[GNU Guix](https://guix.gnu.org) functional package manager.
The [trexio.scm](https://github.com/TREX-CoE/trexio/blob/master/tools/trexio.scm)
Schema file contains the manifest specification for the `trexio` package.
It can be installed as follows:

## Minimal requirements (for users):
```
guix package --cores=`getconf _NPROCESSORS_ONLN` --install-from-file=trexio.scm
```

#### Debian/Ubuntu

The official release of TREXIO `2.2.0` is available as a Debian (`.deb`) package thanks to the [Debichem Team](https://wiki.debian.org/Debichem).
The source code is hosted [here](https://salsa.debian.org/debichem-team/libtrexio) and
the pre-built binary files are available via the [Debian package registry](https://packages.debian.org/bookworm/libtrexio-dev).

TREXIO is also available on [Ubuntu 23.04 (Lunar Lobster)](https://packages.ubuntu.com/lunar/libtrexio-dev) and newer and can be installed as follows:

```
sudo apt-get update && sudo apt-get install libtrexio-dev
```

### Installation from source
#### Minimal requirements (for users):

- Autotools (autoconf >= 2.69, automake >= 1.11, libtool >= 2.2) or CMake (>= 3.16)
- C compiler (gcc/icc/clang)
- Fortran compiler (gfortran/ifort)
- HDF5 library (>= 1.8) [optional, recommended for high performance]


## Installation procedure from the release tarball (for users):
#### Recommended: Installation from the release tarball

1. Download the `trexio-<version>.tar.gz` file from the GitHub release page
2. `gzip -cd trexio-<version>.tar.gz | tar xvf -`
Expand Down Expand Up @@ -62,16 +132,25 @@ command. However, as TREXIO does not utilize MPI features, it is advisable to
link against a non-MPI (serial) version of the HDF5 library for the sake of
simplicity.

## Additional requirements (for developers):
#### Compilation without the HDF5 library

By default, the configuration step proceeds to search for the [HDF5 library](https://portal.hdfgroup.org/display/HDF5/HDF5).
This search can be disabled if HDF5 is not present/installable on the user machine.
To build TREXIO without HDF5 back end, append `--without-hdf5` option to `configure` script or `-DENABLE_HDF5=OFF` option to `cmake`. For example,

- `./configure --without-hdf5`
- `cmake -S. -Bbuild -DENABLE_HDF5=OFF`

#### For TREXIO developers: from the GitHub repo clone

Additional requirements:

- Python3 (>= 3.6)
- Emacs (>= 26.0)
- SWIG (>= 4.0) [required for the Python API]

**Note:** The source code is auto-generated from the Emacs org-mode (`.org`) files following the literate programming approach. This is why the `src` directory is initially empty.

## Installation procedure from the GitHub repo clone (for developers):

1. `git clone https://github.com/TREX-CoE/trexio.git`
2. `cd trexio`
3. `./autogen.sh`
Expand All @@ -80,7 +159,7 @@ simplicity.
6. ```make -j 4 check```
7. `sudo make install`

## Installation procedure for CMake users (from the tarball or GitHub repo clone):
#### Using CMake instead of Autotools

The aforementioned instructions rely on [Autotools](https://www.gnu.org/software/automake/manual/html_node/Autotools-Introduction.html) build system.
[CMake](https://cmake.org) users can achieve the same with the following steps (an example of out-of-source build):
Expand All @@ -91,71 +170,46 @@ The aforementioned instructions rely on [Autotools](https://www.gnu.org/software
4. ```ctest -j 4```
5. `sudo make install`

**Note: on systems with no `sudo` access, one can add `-DCMAKE_INSTALL_PREFIX=build` as an argument to the `cmake` command so that `make install/uninstall` can be run without `sudo` privileges.**

**Note: when linking against an MPI-enabled HDF5 library one usually has to specify the MPI wrapper for the C compiler by adding, e.g., `-DCMAKE_C_COMPILER=mpicc` to the `cmake` command.**

## Installation procedure for conda users

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/trexio/badges/version.svg)](https://anaconda.org/conda-forge/trexio)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/trexio/badges/platforms.svg)](https://anaconda.org/conda-forge/trexio)

The official releases of TREXIO `>2.0.0` are also available via the `conda-forge` channel.
The pre-compiled stable binaries of `trexio` can be installed as follows:

```
conda install -c conda-forge trexio
```
**Note**: on systems with no `sudo` access, one can add `-DCMAKE_INSTALL_PREFIX=build` as an argument to the `cmake` command so that `make install/uninstall` can be run without `sudo` privileges.

More details can be found in the corresponding [trexio-feedstock](https://github.com/conda-forge/trexio-feedstock).
Note that both parallel (see `mpi_openmpi` prefix) and serial (`nompi`) variants are provided.
**Note**: when linking against an MPI-enabled HDF5 library one usually has to specify the MPI wrapper for the C compiler by adding, e.g., `-DCMAKE_C_COMPILER=mpicc` to the `cmake` command.

## Installation procedure for Guix users
## Using TREXIO
### Naming convention

The official releases of TREXIO `>=2.0.0` can be installed using the
[GNU Guix](https://guix.gnu.org) functional package manager.
The [trexio.scm](https://github.com/TREX-CoE/trexio/blob/master/tools/trexio.scm)
Schema file contains the manifest specification for the `trexio` package.
It can be installed as follows:
The primary TREXIO API is composed of the following functions:

```
guix package --cores=`getconf _NPROCESSORS_ONLN` --install-from-file=trexio.scm
```
- `trexio_open`
- `trexio_write_[group]_[variable]`
- `trexio_read_[group]_[variable]`
- `trexio_has_[group]_[variable]`
- `trexio_close`

## Installation procedure for Spack users
where `[group]` and `[variable]` substitutions correspond to the contents of the `trex.json` configuration file
(for more details, see the corresponding [documentation](https://trex-coe.github.io/trexio/trex.html) page).
For example, consider the `coord` variable (array), which belongs to the `nucleus` group. The TREXIO user can write or read it using `trexio_write_nucleus_coord` or `trexio_read_nucleus_coord` functions, respectively.

The official releases `>=2.0.0` and the development version of TREXIO can be installed using the
[Spack](https://spack.io/) package manager.
The [trexio/package.py](https://github.com/spack/spack/blob/develop/var/spack/repos/builtin/packages/trexio/package.py)
file contains the Spack specifications required to build different variants of `trexio` library.
It can be installed as follows
Note: the `[variable]` names have to be unique only within the corresponding parent `[group]`.
There is no naming conflict when, for example, `num` variable exists both in the `nucleus` group (i.e. the number of nuclei) and in the `mo` group (i.e. the number of molecular orbitals).
These quantities can be accessed using the corresponding `trexio_[has|read|write]_nucleus_num` and `trexio_[has|read|write]_mo_num`, respectively.

```
spack install --jobs `getconf _NPROCESSORS_ONLN` trexio
```

## Installation procedure for Debian/Ubuntu users
### Tutorial

The official release of TREXIO `2.2.0` is available as a Debian (`.deb`) package thanks to the [Debichem Team](https://wiki.debian.org/Debichem).
The source code is hosted [here](https://salsa.debian.org/debichem-team/libtrexio) and
the pre-built binary files are available via the [Debian package registry](https://packages.debian.org/bookworm/libtrexio-dev).
TREXIO tutorials in Jupyter notebook format can be found in the
[corresponding GitHub repository](https://github.com/TREX-CoE/trexio-tutorials)
or on [Binder](https://mybinder.org/v2/gh/TREX-CoE/trexio-tutorials/HEAD).

TREXIO is also available on [Ubuntu 23.04 (Lunar Lobster)](https://packages.ubuntu.com/lunar/libtrexio-dev) and newer and can be installed as follows:
For example, the tutorial covering TREXIO basics using benzene molecule as an example can be viewed and executed online by clicking on this badge:
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TREX-CoE/trexio-tutorials/HEAD?filepath=notebooks%2Ftutorial_benzene.ipynb)

```
sudo apt-get update && sudo apt-get install libtrexio-dev
```

## Compilation without the HDF5 library
### Documentation

By default, the configuration step proceeds to search for the [HDF5 library](https://portal.hdfgroup.org/display/HDF5/HDF5).
This search can be disabled if HDF5 is not present/installable on the user machine.
To build TREXIO without HDF5 back end, append `--without-hdf5` option to `configure` script or `-DENABLE_HDF5=OFF` option to `cmake`. For example,
[Documentation generated from TREXIO org-mode files.](https://trex-coe.github.io/trexio/)

- `./configure --without-hdf5`
- `cmake -S. -Bbuild -DENABLE_HDF5=OFF`

## Linking to your program
### Linking to your program

The `make install` command takes care of installing the TREXIO shared library on the user machine.
After installation, append `-ltrexio` to the list of compiler (`$LIBS`) options.
Expand All @@ -179,26 +233,19 @@ The `trexio_f.f90` module file can be found in the `include/` directory of the T
Only the installed library and the Fortran module file are required.


## Naming convention

The primary TREXIO API is composed of the following functions:

- `trexio_open`
- `trexio_write_[group]_[variable]`
- `trexio_read_[group]_[variable]`
- `trexio_has_[group]_[variable]`
- `trexio_close`

where `[group]` and `[variable]` substitutions correspond to the contents of the `trex.json` configuration file
(for more details, see the corresponding [documentation](https://trex-coe.github.io/trexio/trex.html) page).
For example, consider the `coord` variable (array), which belongs to the `nucleus` group. The TREXIO user can write or read it using `trexio_write_nucleus_coord` or `trexio_read_nucleus_coord` functions, respectively.

Note: the `[variable]` names have to be unique only within the corresponding parent `[group]`.
There is no naming conflict when, for example, `num` variable exists both in the `nucleus` group (i.e. the number of nuclei) and in the `mo` group (i.e. the number of molecular orbitals).
These quantities can be accessed using the corresponding `trexio_[has|read|write]_nucleus_num` and `trexio_[has|read|write]_mo_num`, respectively.
### Distributing TREXIO with your code

The TREXIO software is distributed under the 3-clause BSD license, renowned for
its permissiveness. Consequently, it is entirely acceptable for you to
provide the TREXIO release tarball in conjunction with your own code.
Should you opt to include TREXIO with your software, it is recommended to
distribute the release tarball, instead of the content of the git repository.
The release tarballs contain pre-generated source files. This not only
accelerates the compilation process but also significantly reduces dependency
requirements.

## Python API
## APIs for other languages
### Python

[![PyPI version](https://badge.fury.io/py/trexio.svg)](https://badge.fury.io/py/trexio)

Expand All @@ -223,9 +270,9 @@ make python-test
We highly recommend to use virtual environments to avoid compatibility issues and to improve reproducibility.


## Rust API
### Rust

The Rust API is available on Crates.io, so you can simply run
The Rust API is available on Crates.io, so you can simply run
```
cargo add trexio
```
Expand All @@ -236,7 +283,7 @@ If you prefer to install the Rust API provided with this repository:
cargo add --path /path/to/trexio/rust/trexio
```

## OCaml API
### OCaml

The TREXIO OCaml API is available in OPAM:
```
Expand All @@ -251,21 +298,6 @@ make
opam install .
```

## Tutorial

TREXIO tutorials in Jupyter notebook format can be found in the
[corresponding GitHub repository](https://github.com/TREX-CoE/trexio-tutorials)
or on [Binder](https://mybinder.org/v2/gh/TREX-CoE/trexio-tutorials/HEAD).

For example, the tutorial covering TREXIO basics using benzene molecule as an example can be viewed and executed online by clicking on this badge:
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TREX-CoE/trexio-tutorials/HEAD?filepath=notebooks%2Ftutorial_benzene.ipynb)


## Documentation

[Documentation generated from TREXIO org-mode files.](https://trex-coe.github.io/trexio/)


## Citation

The journal article reference describing TREXIO can be cited as follows:
Expand Down

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