code: def start_run_and_log_data():
      with mlflow.start_run():
          mlflow.log_param("p", "param")
          mlflow.log_metric("m", 1.0)
          mlflow.set_tag("t", "tag")
          mlflow.pyfunc.log_model(
              artifact_path="model",
              python_model=Model(),
              registered_model_name="model",
          )
  
file_path: mlflow/tests/db/test_tracking_operations.py
imports: import sqlite3
  import uuid
  from unittest import mock
  import pytest
  import sqlalchemy.dialects.sqlite.pysqlite
  import mlflow
  from mlflow import MlflowClient
  from mlflow.environment_variables import MLFLOW_TRACKING_URI
label_desc: Use image node_id 1 for calling a global function with example usage: start_run_and_log_data() without return types