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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -11,7 +11,7 @@ For those interested in the *ab initio* thermoelectric data, [see below](#thermo
1. Make sure you have `python3.6` and the `pip` module installed.
We recommend using [conda environments](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html).
1. Navigate to the root folder of this repository (the same folder that contains this README file)
and run `pip install --ignore-installed -r requirements.txt`. Note: If you are using a conda env and any packages fail to compile during this step, you may need to first install those packages separately with `conda install package_name`.
and run `pip install --ignore-installed -r requirements.txt -c constraints.txt`. Note: If you are using a conda env and any packages fail to compile during this step, you may need to first install those packages separately with `conda install package_name`.
1. Wait for all the requirements to be downloaded and installed.
1. Run `python setup.py install` to install this module. This will also download the Word2vec model files.
If the download fails, manually download the [model](https://storage.googleapis.com/mat2vec/pretrained_embeddings),
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1 change: 1 addition & 0 deletions constraints.txt
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@@ -0,0 +1 @@
TableDataExtractor @ git+https://github.com/CambridgeMolecularEngineering/tabledataextractor#egg=tabledataextractor
6 changes: 3 additions & 3 deletions requirements.txt
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Expand Up @@ -3,7 +3,7 @@ monty>=2.0.4
regex>=2019.6.8
requests>=2.22.0
unidecode>=1.1.0
pymatgen>=2019.6.20
chemdataextractor>=1.3.0
pymatgen==2024.5.1
gensim>=3.7.1
tqdm>=4.32.2
tqdm>=4.32.2
chemdataextractor2