Mon, 15 Apr 2019 13:15:03 +0200

salomon.csv

@@ -49,6 +49,7 @@ ATLAS/3.10.3-GCC-6.3.0-2.27-LAPACK-3.6.1,2
 ATLAS/3.10.3-GCC-7.1.0-2.28-LAPACK-3.6.1,2
 attrs/17.4.0-Py-2.7,2
 attrs/17.4.0-Py-3.6,2
+attrs/19.1.0-Py-2.7,2
 Autoconf/2.68,2
 Autoconf/2.69,2
 Autoconf/2.69-foss-2015g,2
@@ -218,6 +219,8 @@ DDT/4.2,2
 DDT/5.0.1,2
 Debian/8.0,2
 decorator/4.2.1-Py-3.6,2
+decorator/4.4.0-Py-2.7,2
+deepdiff/3.3.0-Py-2.7,2
 deMonNano/4.3.6,2
 DGX-2/1.0,2
 Digimat/5.0.1-COM,2
@@ -1168,6 +1171,7 @@ nettle/3.3-intel-2017a,2
 nettle/3.4.1,2
 networkx/1.11-Python-2.7.13,2
 networkx/2.1-Py-3.6,2
+networkx/2.2-Py-2.7,2
 NLopt/2.4.2,2
 NLopt/2.4.2-intel-2017a,2
 NodeJS/6.10.1-foss-2016a,2
@@ -1450,6 +1454,7 @@ pyspark/2.3.0-Py-3.6,2
 pytest/3.3.2-Py-2.7,2
 pytest/3.3.2-Py-3.6,2
 pytest/4.3.0-Py-2.7,2
+pytest/4.4.0-Py-2.7,2
 Python/2.7.11-intel-2015b,2
 Python/2.7.11-intel-2017a,2
 Python/2.7.13,2
@@ -1639,6 +1644,7 @@ SuiteSparse/4.4.5-intel-2015b-METIS-5.1.0,2
 SuiteSparse/4.4.6-intel-2015b-ParMETIS-4.0.3,2
 SuiteSparse/4.5.3-intel-2017a-ParMETIS-4.0.3,2
 SuiteSparse/4.5.5-intel-2017a-METIS-5.1.0,2
+SuiteSparse/5.1.2-intel-2017c-METIS-5.1.0,2
 SUMO/0.25.0-foss-2015g,2
 SUMO/0.26.0-foss-2015g,2
 SUMO/0.27.1-foss-2015g,2

salomon.md

@@ -416,6 +416,7 @@
 | [cycler](https://matplotlib.org/cycler) | Composable style cycles. |
 | [dask](https://pypi.python.org/pypi/dask) | Parallel PyData with Task Scheduling. |
 | [decorator](https://pypi.python.org/pypi/decorator) | Better living through Python with decorators. |
+| [deepdiff](https://pypi.org/project/deepdiff/) | Python 2 and 3 compatibility library. |
 | [dill](https://github.com/uqfoundation/dill) | dill extends python's pickle module for serializing and de-serializing python objects to the majority of the built-in python types. Serialization is the process of converting an object to a byte stream, and the inverse of which is converting a byte stream back to on python object hierarchy. |
 | [dist-keras](https://pypi.python.org/pypi/dist-keras) | Distributed Deep learning with Apache Spark with Keras. |
 | [DynaPhoPy](https://github.com/abelcarreras/DynaPhoPy) | Software to calculate crystal microscopic anharmonic properties from molecular dynamics (MD) using the normal-mode-decomposition technique. These properties include the phonon frequency shifts and linewidths, as well as the renormalized force constanst and thermal properties by using quasiparticle theory. This code includes interfaces for MD outputs from VASP and LAMMPS .PHONOPY code is used to obtain harmonic phonon modes. |