code: def m3_monthly_data():
      test_file = (
          importlib_resources.files("tests")
          / "resources/m3-monthly.csv"
      )
      df = pd.read_csv(test_file, parse_dates=["date"])
      return df
  
file_path: orbit/tests/conftest.py
imports: import pytest
  import pandas
  import numpy
  import importlib_resources
  from copy import deepcopy
  from orbit.utils.simulation import make_trend, make_seasonality, make_regression
label_desc: Use image node_id 2 for calling a global function with example usage: m3_monthly_data() and returns: df