From e4d99fdfad16912e5d5bace0a06d5378bd6c66bc Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Sat, 16 Aug 2025 06:31:51 +0000
Subject: [PATCH 1/2] Initial plan


From 30ee27cfac8b055d2515f0ef01413876b894191f Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Sat, 16 Aug 2025 06:46:02 +0000
Subject: [PATCH 2/2] Fix Python warnings: handle empty arrays and suppress JAX
 fork warnings

Co-authored-by: mmcky <8263752+mmcky@users.noreply.github.com>
---
 lectures/back_prop.md    |  8 +++++---
 lectures/status.md       | 15 ++++++++++++---
 lectures/two_auctions.md |  9 +++++++++
 3 files changed, 26 insertions(+), 6 deletions(-)

diff --git a/lectures/back_prop.md b/lectures/back_prop.md
index 9780ef8c3..56a630948 100644
--- a/lectures/back_prop.md
+++ b/lectures/back_prop.md
@@ -32,9 +32,11 @@ In addition to what's included in base Anaconda, we need to install the followin
 
 ```{code-cell} ipython3
 :tags: [hide-output]
-
-!pip install kaleido
-!conda install -y -c plotly plotly plotly-orca retrying
+import warnings
+with warnings.catch_warnings():
+    warnings.filterwarnings("ignore", message=".*os.fork.*")
+    !pip install kaleido
+    !conda install -y -c plotly plotly plotly-orca retrying
 ```
 
 ```{note}
diff --git a/lectures/status.md b/lectures/status.md
index ca1d9dd2e..ab3981b09 100644
--- a/lectures/status.md
+++ b/lectures/status.md
@@ -23,14 +23,20 @@ These lectures are built on `linux` instances through `github actions`.
 These lectures are using the following python version
 
 ```{code-cell} ipython
-!python --version
+import warnings
+with warnings.catch_warnings():
+    warnings.filterwarnings("ignore", message=".*os.fork.*")
+    !python --version
 ```
 
 and the following package versions
 
 ```{code-cell} ipython
 :tags: [hide-output]
-!conda list
+import warnings
+with warnings.catch_warnings():
+    warnings.filterwarnings("ignore", message=".*os.fork.*")
+    !conda list
 ```
 
 You can check the backend used by JAX using:
@@ -44,5 +50,8 @@ print(f"JAX backend: {jax.devices()[0].platform}")
 and this lecture series also has access to the following GPU
 
 ```{code-cell} ipython
-!nvidia-smi
+import warnings
+with warnings.catch_warnings():
+    warnings.filterwarnings("ignore", message=".*os.fork.*")
+    !nvidia-smi
 ```
\ No newline at end of file
diff --git a/lectures/two_auctions.md b/lectures/two_auctions.md
index 0f2ed02c8..0829548f8 100644
--- a/lectures/two_auctions.md
+++ b/lectures/two_auctions.md
@@ -403,6 +403,11 @@ def evaluate_largest(v_hat, array, order=1):
     array_conditional=array_residual[:,index].copy()
 
     array_conditional=np.sort(array_conditional, axis=0)
+    
+    # Handle empty array case to avoid "Mean of empty slice" warning
+    if array_conditional.shape[1] == 0:
+        return np.nan
+    
     return array_conditional[-order,:].mean()
 ```
 
@@ -561,6 +566,10 @@ class bid_price_solution:
 
         array_conditional=np.sort(array_conditional, axis=0)
 
+        # Handle empty array case to avoid "Mean of empty slice" warning
+        if array_conditional.shape[1] == 0:
+            return np.nan
+
         return array_conditional[-order,:].mean()
 
     def compute_optimal_bid_FPSB(self):