We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
BigQuery: Document the use of the timeout parameter in samples
After adding the new `timeout` parameter to various public methods (#9987), we should demonstrate its usage in the code samples.

Users should be aware of this new feature, and should probably use it by default to avoid sporadic weird issues related to a method "getting stuck" at the transport layer.

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `samples/create_dataset.py`
Content:
```
1 # Copyright 2019 Google LLC
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
4 # you may not use this file except in compliance with the License.
5 # You may obtain a copy of the License at
6 #
7 #     https://www.apache.org/licenses/LICENSE-2.0
8 #
9 # Unless required by applicable law or agreed to in writing, software
10 # distributed under the License is distributed on an "AS IS" BASIS,
11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
14 
15 
16 def create_dataset(dataset_id):
17 
18     # [START bigquery_create_dataset]
19     from google.cloud import bigquery
20 
21     # Construct a BigQuery client object.
22     client = bigquery.Client()
23 
24     # TODO(developer): Set dataset_id to the ID of the dataset to create.
25     # dataset_id = "{}.your_dataset".format(client.project)
26 
27     # Construct a full Dataset object to send to the API.
28     dataset = bigquery.Dataset(dataset_id)
29 
30     # TODO(developer): Specify the geographic location where the dataset should reside.
31     dataset.location = "US"
32 
33     # Send the dataset to the API for creation.
34     # Raises google.api_core.exceptions.Conflict if the Dataset already
35     # exists within the project.
36     dataset = client.create_dataset(dataset)  # Make an API request.
37     print("Created dataset {}.{}".format(client.project, dataset.dataset_id))
38     # [END bigquery_create_dataset]
39
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/samples/create_dataset.py b/samples/create_dataset.py
--- a/samples/create_dataset.py
+++ b/samples/create_dataset.py
@@ -30,9 +30,9 @@
     # TODO(developer): Specify the geographic location where the dataset should reside.
     dataset.location = "US"
 
-    # Send the dataset to the API for creation.
+    # Send the dataset to the API for creation, with an explicit timeout.
     # Raises google.api_core.exceptions.Conflict if the Dataset already
     # exists within the project.
-    dataset = client.create_dataset(dataset)  # Make an API request.
+    dataset = client.create_dataset(dataset, timeout=30)  # Make an API request.
     print("Created dataset {}.{}".format(client.project, dataset.dataset_id))
     # [END bigquery_create_dataset]

{"golden_diff": "diff --git a/samples/create_dataset.py b/samples/create_dataset.py\n--- a/samples/create_dataset.py\n+++ b/samples/create_dataset.py\n@@ -30,9 +30,9 @@\n     # TODO(developer): Specify the geographic location where the dataset should reside.\n     dataset.location = \"US\"\n \n-    # Send the dataset to the API for creation.\n+    # Send the dataset to the API for creation, with an explicit timeout.\n     # Raises google.api_core.exceptions.Conflict if the Dataset already\n     # exists within the project.\n-    dataset = client.create_dataset(dataset)  # Make an API request.\n+    dataset = client.create_dataset(dataset, timeout=30)  # Make an API request.\n     print(\"Created dataset {}.{}\".format(client.project, dataset.dataset_id))\n     # [END bigquery_create_dataset]\n", "issue": "BigQuery: Document the use of the timeout parameter in samples\nAfter adding the new `timeout` parameter to various public methods (#9987), we should demonstrate its usage in the code samples.\r\n\r\nUsers should be aware of this new feature, and should probably use it by default to avoid sporadic weird issues related to a method \"getting stuck\" at the transport layer.\n", "before_files": [{"content": "# Copyright 2019 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\ndef create_dataset(dataset_id):\n\n    # [START bigquery_create_dataset]\n    from google.cloud import bigquery\n\n    # Construct a BigQuery client object.\n    client = bigquery.Client()\n\n    # TODO(developer): Set dataset_id to the ID of the dataset to create.\n    # dataset_id = \"{}.your_dataset\".format(client.project)\n\n    # Construct a full Dataset object to send to the API.\n    dataset = bigquery.Dataset(dataset_id)\n\n    # TODO(developer): Specify the geographic location where the dataset should reside.\n    dataset.location = \"US\"\n\n    # Send the dataset to the API for creation.\n    # Raises google.api_core.exceptions.Conflict if the Dataset already\n    # exists within the project.\n    dataset = client.create_dataset(dataset)  # Make an API request.\n    print(\"Created dataset {}.{}\".format(client.project, dataset.dataset_id))\n    # [END bigquery_create_dataset]\n", "path": "samples/create_dataset.py"}], "after_files": [{"content": "# Copyright 2019 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\ndef create_dataset(dataset_id):\n\n    # [START bigquery_create_dataset]\n    from google.cloud import bigquery\n\n    # Construct a BigQuery client object.\n    client = bigquery.Client()\n\n    # TODO(developer): Set dataset_id to the ID of the dataset to create.\n    # dataset_id = \"{}.your_dataset\".format(client.project)\n\n    # Construct a full Dataset object to send to the API.\n    dataset = bigquery.Dataset(dataset_id)\n\n    # TODO(developer): Specify the geographic location where the dataset should reside.\n    dataset.location = \"US\"\n\n    # Send the dataset to the API for creation, with an explicit timeout.\n    # Raises google.api_core.exceptions.Conflict if the Dataset already\n    # exists within the project.\n    dataset = client.create_dataset(dataset, timeout=30)  # Make an API request.\n    print(\"Created dataset {}.{}\".format(client.project, dataset.dataset_id))\n    # [END bigquery_create_dataset]\n", "path": "samples/create_dataset.py"}]}