Condense matter post-processing.
The package covers post-processing scenarios for the results of Quantum Espresso and Wannier90, as well as provides some custom scripts.
It is expected to be used in two ways:
As Python library
Via scripts (i.e. usage from command line)
For the detailed description check documentation.
Installation
Requirement for RAD-tools installation are:
Python (>=3.9)
NumPy
SciPy
matplotlib
tqdm
termcolor
RAD-tools can be installed with pip or from source.
pip
To install RAD-tools, run (you may need to use pip3):
pip install rad-toolsInstalling from source
Clone the project to your local computer:
git clone git@github.com:adrybakov/rad-tools.gitChange the directory:
cd rad-toolsTo install RAD-tools, run (you may need to use pip3):
pip install rad-toolsAdditionally you may run the unit tests, which requires pytest (requires Python 3.7+) to be installed:
make testTo install pytest, run (you may need to use pip3):
pip install pytest1 maintainer
Release files for rad-tools 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rad_tools-1.0.1.tar.gz | 63.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rad_tools-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 164.7 kB
Release files / rad_tools-1.0.1.tar.gz
| Download URL | rad_tools-1.0.1.tar.gz |
|---|---|
| Size | 63.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / rad_tools-1.0.1-py3-none-any.whl
| Download URL | rad_tools-1.0.1-py3-none-any.whl |
|---|---|
| Size | 101.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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