From d1ecbbdba5185a8626c5a522f1fc07e83f8a4cdb Mon Sep 17 00:00:00 2001 From: Silke Maes Date: Mon, 29 Jul 2024 15:18:50 +0200 Subject: [PATCH] Edit readme --- README.md | 5 +---- src/mace/utils.py | 2 +- 2 files changed, 2 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index e6113fc..f733ec7 100644 --- a/README.md +++ b/README.md @@ -4,9 +4,6 @@ Welcome to the MACE repository! ***MACE, a Machine-learning Approach to Chemistry Emulation***, by [Maes et al. (*in press.*)](https://ui.adsabs.harvard.edu/abs/2024arXiv240503274M/abstract), is a surrogate model for chemical kinetics. It is developed in the contexts of circumstellar envelopes (CSEs) of asymptotic giant branch (AGB) stars, i.e. evolved low-mass stars. -Currently it still under development. -Planned release: Sept 2024 - MACE is implemented in Python and uses [PyTorch](https://pytorch.org/), together with [torchode](https://github.com/martenlienen/torchode) [(Lienen & Gunnemann, 2022)](https://openreview.net/pdf?id=uiKVKTiUYB0), to be trained. --- @@ -38,4 +35,4 @@ The script run.py trains the model, as explained by [Maes et al. (*in press.*)]( -(version 0.0.7) \ No newline at end of file +(version 0.0.7) diff --git a/src/mace/utils.py b/src/mace/utils.py index 9b0fec3..f11c406 100644 --- a/src/mace/utils.py +++ b/src/mace/utils.py @@ -115,7 +115,7 @@ def get_specs(): loc_specs = parentpath+'data/rate16.specs' - specs = np.loadtxt(loc_specs, usecols=(1), dtype=str, skiprows = 1, max_rows=466) + specs = np.loadtxt(loc_specs, usecols=(1), dtype=str, skiprows = 1, max_rows=469) specs_dict = dict() idx_specs = dict()