code: def test_store_generated_schema_matches_base(tmp_path, db_url):
      # Create a SQLAlchemyStore against tmpfile, directly verify that tmpfile contains a
      # database with a valid schema
      SqlAlchemyStore(db_url, tmp_path.joinpath("ARTIFACTS").as_uri())
      engine = sqlalchemy.create_engine(db_url)
      mc = MigrationContext.configure(
          engine.connect(), opts={"compare_type": False}
      )
      diff = compare_metadata(mc, Base.metadata)
      # `diff` contains several `remove_index` operations because `Base.metadata` does not contain
      # index metadata but `mc` does. Note this doesn't mean the MLflow database is missing indexes
      # as tested in `test_create_index_on_run_uuid`.
      diff = [
          d
          for d in diff
          if (d[0] not in ["remove_index", "add_index", "add_fk"])
      ]
      assert len(diff) == 0
  
imports: import os
  import sqlite3
  import pytest
  import sqlalchemy
  from alembic import command
  from alembic.autogenerate import compare_metadata
  from alembic.migration import MigrationContext
  from alembic.script import ScriptDirectory
  import mlflow.db
  from mlflow.exceptions import MlflowException
  from mlflow.store.db.base_sql_model import Base
  from mlflow.store.db.utils import _get_alembic_config, _verify_schema
  from mlflow.store.tracking.dbmodels.initial_models import Base
  from mlflow.store.tracking.sqlalchemy_store import SqlAlchemyStore
  from tests.integration.utils import invoke_cli_runner
  from tests.store.dump_schema import dump_db_schema
label_desc: Use image node_id 7 for calling a global function with example usage: test_store_generated_schema_matches_base(tmp_path, db_url) without return types