From e44b6f8d2f086fef1c56aa6307829daff00063e7 Mon Sep 17 00:00:00 2001
From: Tanmay Garg <tanmay17061@gmail.com>
Date: Sun, 27 Oct 2024 23:23:01 +0530
Subject: [PATCH] multiple schemas: complete example for filtering

---
 module-2/multiple-schemas.ipynb | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/module-2/multiple-schemas.ipynb b/module-2/multiple-schemas.ipynb
index cf27902bd..96e17ea59 100644
--- a/module-2/multiple-schemas.ipynb
+++ b/module-2/multiple-schemas.ipynb
@@ -63,13 +63,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "id": "038ca2e4-7d6d-49d5-b213-b38469cde434",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -116,7 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 3,
    "id": "3dc9cd64-4bd3-4c0a-8f8f-d58c551428e3",
    "metadata": {},
    "outputs": [
@@ -134,7 +134,7 @@
        "{'foo': 3}"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -262,13 +262,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "id": "682b3d10-c78a-41c2-a5ff-842e1688c95f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/jpeg": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -282,7 +282,7 @@
        "{'answer': 'bye Lance'}"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,7 +303,7 @@
     "    return {\"answer\": \"bye\", \"notes\": \"... his is name is Lance\"}\n",
     "\n",
     "def answer_node(state: OverallState) -> OutputState:\n",
-    "    return {\"answer\": \"bye Lance\"}\n",
+    "    return {\"answer\": \"bye Lance\", \"hint\": \"this will be filtered out\"}\n",
     "\n",
     "graph = StateGraph(OverallState, input=InputState, output=OutputState)\n",
     "graph.add_node(\"answer_node\", answer_node)\n",
@@ -345,7 +345,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.1"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,