From ab98173e7f6568851e527e511bc8b9901a96a120 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Fri, 3 Oct 2025 12:48:59 +0000
Subject: [PATCH] Fix ValueError in main Perceptron.ipynb for NumPy 2.x
 compatibility

Co-authored-by: leestott <2511341+leestott@users.noreply.github.com>
---
 lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb b/lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb
index e74eb6ba..54ad4e59 100644
--- a/lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb
+++ b/lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb
@@ -462,10 +462,9 @@
     "            neg_out = np.dot(negative_examples, weights)        \n",
     "            pos_correct = (pos_out >= 0).sum() / float(pos_count)\n",
     "            neg_correct = (neg_out < 0).sum() / float(neg_count)\n",
-    "            # make correction a list so it is homogeneous to weights list then numpy array accepts\n",
-    "            snapshots.append((np.concatenate(weights),[(pos_correct+neg_correct)/2.0,0,0]))\n",
+    "            snapshots.append([np.copy(weights).flatten(), (pos_correct+neg_correct)/2.0])\n",
     "\n",
-    "    return np.array(snapshots)\n",
+    "    return np.array(snapshots, dtype=object)\n",
     "\n",
     "snapshots = train_graph(pos_examples,neg_examples)\n",
     "\n",
@@ -477,7 +476,7 @@
     "    pylab.plot(np.arange(len(snapshots[:,1])), snapshots[:,1])\n",
     "    pylab.ylabel('Accuracy')\n",
     "    pylab.xlabel('Iteration')\n",
-    "    pylab.plot(step, snapshots[step,1][0], \"bo\")\n",
+    "    pylab.plot(step, snapshots[step,1], \"bo\")\n",
     "    pylab.show()\n",
     "def pl1(step): plotit(pos_examples,neg_examples,snapshots,step)"
    ]
@@ -1078,4 +1077,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file