From 95f64313381d3be9e25ecd38e39d01212f418991 Mon Sep 17 00:00:00 2001
From: Harrison Ritz <harrison.ritz@gmail.com>
Date: Thu, 22 Feb 2024 15:34:46 -0500
Subject: [PATCH 1/2] Update README.rst

update installation instructions with what works on Brown's OSCAR
---
 README.rst | 17 +++++++----------
 1 file changed, 7 insertions(+), 10 deletions(-)

diff --git a/README.rst b/README.rst
index 368902c4f..592a66dcc 100755
--- a/README.rst
+++ b/README.rst
@@ -181,26 +181,23 @@ If you do not have **hdf5** or **netcdf4** installed, you can use conda to insta
 
 ::
 
-    conda install -c conda-forge hdf5
-    conda install -c conda-forge netcdf4
+    conda install hdf5 netcdf4
 
 Then install **hddm** via **github**.
 
 :: 
 
-    pip install "numpy < 1.23.0"
-    pip install "cython <1.0.0"
-    pip install pymc==2.3.8 # backend probabilistic programming framework (DO NOT USE CONDA HERE)
-    # pip install git+https://github.com/hddm-devs/kabuki # (Optional, the pip version as dependency of HDDM should work)
-    pip install hddm # main package
+    pip install numpy==1.21
+    pip install --no-cache-dir pymc==2.3.8
+    pip install kabuki
+    pip install hddm==1.0.1
     
-    # Optional
-    pip install torch torchvision torchaudio # The LAN extension makes use of these
+    # Optional (but necessary for LAN extension)
+    pip install torch torchvision torchaudio
 
 To make use of the LAN fuctionalities, you need to install `pytorch`_.
 
 ::
-    pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1
 
 A common issue on new machines is that the installation of the **pymc** package (a necessary dependency),
 is hampered by problems with compiling its fortran code. Try downgrading the version of your

From 2005261c2c72dc66f0ca9cbb8127e2994e343d7d Mon Sep 17 00:00:00 2001
From: Harrison Ritz <harrison.ritz@gmail.com>
Date: Thu, 22 Feb 2024 21:48:55 -0500
Subject: [PATCH 2/2] Update README.rst

make new section
---
 README.rst | 37 +++++++++++++++++++++++++++++--------
 1 file changed, 29 insertions(+), 8 deletions(-)

diff --git a/README.rst b/README.rst
index 592a66dcc..d80c216d5 100755
--- a/README.rst
+++ b/README.rst
@@ -181,24 +181,29 @@ If you do not have **hdf5** or **netcdf4** installed, you can use conda to insta
 
 ::
 
-    conda install hdf5 netcdf4
+    conda install -c conda-forge hdf5
+    conda install -c conda-forge netcdf4
 
 Then install **hddm** via **github**.
 
 :: 
 
-    pip install numpy==1.21
-    pip install --no-cache-dir pymc==2.3.8
-    pip install kabuki
-    pip install hddm==1.0.1
+    pip install "numpy < 1.23.0"
+    pip install "cython <1.0.0"
+    pip install pymc==2.3.8 # backend probabilistic programming framework (DO NOT USE CONDA HERE)
+    # pip install git+https://github.com/hddm-devs/kabuki # (Optional, the pip version as dependency of HDDM should work)
+    pip install hddm # main package
     
-    # Optional (but necessary for LAN extension)
-    pip install torch torchvision torchaudio
+    # Optional
+    pip install torch torchvision torchaudio # The LAN extension makes use of these
 
 To make use of the LAN fuctionalities, you need to install `pytorch`_.
 
 ::
 
+    pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1
+
+
 A common issue on new machines is that the installation of the **pymc** package (a necessary dependency),
 is hampered by problems with compiling its fortran code. Try downgrading the version of your
 **gcc** compiler. This can be done on a MAC (not the new M1/M2 versions tragically), via 
@@ -211,7 +216,23 @@ In case you do not have the **brew** command, install `Homebrew <https://brew.sh
 
 You usually do not run into problems with **linux** machines, however downgrading **gcc** can still be necessary.
 
-(Previous instructions for **HDDM <= 0.8.0**, DISCOURAGED)
+**Recipe for Installing HDDM 1.0.1 on Brown's OSCAR cluster**
+
+:: 
+
+  module load gcc/6.5.0-lwshmxc
+  conda create -n hddm python=3.7
+  conda activate hddm
+  pip install numpy==1.21
+  pip install --no-cache-dir pymc==2.3.8
+  conda install hdf5 netcdf4
+  pip install kabuki
+  pip install hddm==1.0.1
+  pip install torch torchvision torchaudio
+
+
+**Previous instructions for HDDM <= 0.8.0, DISCOURAGED**
+
 As of release 0.6.0, HDDM is compatible with Python 3 which we encourage.
 
 The easiest way to install HDDM is through Anaconda (available for