fix format

Author: thinkall

notebook/agentchat_microsoft_fabric.ipynb

@@ -113,13 +113,17 @@
     }
    ],
    "source": [
-    "import autogen\n",
     "import types\n",
+    "\n",
     "import httpx\n",
     "from synapse.ml.fabric.credentials import get_openai_httpx_sync_client\n",
     "\n",
+    "import autogen\n",
+    "\n",
     "http_client = get_openai_httpx_sync_client()\n",
-    "http_client.__deepcopy__ = types.MethodType(lambda self, memo: self, http_client)  # https://microsoft.github.io/autogen/docs/topics/llm_configuration#adding-http-client-in-llm_config-for-proxy\n",
+    "http_client.__deepcopy__ = types.MethodType(\n",
+    "    lambda self, memo: self, http_client\n",
+    ")  # https://microsoft.github.io/autogen/docs/topics/llm_configuration#adding-http-client-in-llm_config-for-proxy\n",
     "\n",
     "config_list = [\n",
     "    {\n",
@@ -439,6 +443,7 @@
    ],
    "source": [
     "import tempfile\n",
+    "\n",
     "from autogen.coding import LocalCommandLineCodeExecutor\n",
     "\n",
     "# Create a temporary directory to store the code files.\n",
@@ -484,8 +489,10 @@
     "    human_input_mode=\"NEVER\",\n",
     "    max_consecutive_auto_reply=5,\n",
     "    retrieve_config={\n",
-    "        \"docs_path\": [\"https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview\", \n",
-    "                      \"https://learn.microsoft.com/en-us/fabric/data-science/tuning-automated-machine-learning-visualizations\"],\n",
+    "        \"docs_path\": [\n",
+    "            \"https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview\",\n",
+    "            \"https://learn.microsoft.com/en-us/fabric/data-science/tuning-automated-machine-learning-visualizations\",\n",
+    "        ],\n",
     "        \"chunk_token_size\": 2000,\n",
     "        \"model\": config_list[0][\"model\"],\n",
     "        \"vector_db\": \"chroma\",  # to use the deprecated `client` parameter, set to None and uncomment the line above\n",
@@ -2869,10 +2876,10 @@
     }
    ],
    "source": [
+    "import flaml.visualization as fviz\n",
+    "from flaml import AutoML\n",
     "from sklearn.datasets import fetch_california_housing\n",
     "from sklearn.model_selection import train_test_split\n",
-    "from flaml import AutoML\n",
-    "import flaml.visualization as fviz\n",
     "\n",
     "# Load the California housing data and split it into train and test sets\n",
     "housing = fetch_california_housing()\n",