code: def test_specify_L_M_by_string(model):
      mod = model.from_formula(
          "Histamine0 + Histamine1 + Histamine3 + Histamine5 ~ Drug * Depleted",
          data,
      )
      r = mod.fit()
      r1 = r.mv_test(hypotheses=[["Intercept", ["Intercept"], None]])
      a = [
          [2.68607660e-02, 4, 6, 5.43435304e01, 7.59585610e-05],
          [9.73139234e-01, 4, 6, 5.43435304e01, 7.59585610e-05],
          [3.62290202e01, 4, 6, 5.43435304e01, 7.59585610e-05],
          [3.62290202e01, 4, 6, 5.43435304e01, 7.59585610e-05],
      ]
      assert_array_almost_equal(
          r1["Intercept"]["stat"].values, a, decimal=6
      )
      L = ["Intercept", "Drug[T.Trimethaphan]", "Drug[T.placebo]"]
      M = ["Histamine1", "Histamine3", "Histamine5"]
      r1 = r.mv_test(hypotheses=[["a", L, M]])
      a = [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0]]
      assert_array_almost_equal(r1["a"]["contrast_L"], a, decimal=10)
      a = [[0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]
      assert_array_almost_equal(r1["a"]["transform_M"].T, a, decimal=10)
  
imports: import os.path
  import numpy
  import pandas
  import pytest
  from statsmodels.regression.linear_model import OLS
  from statsmodels.multivariate.multivariate_ols import _MultivariateOLS, MultivariateLS
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_raises
  import patsy
label_desc: Use image node_id 3 for calling a global function with example usage: test_specify_L_M_by_string(model) without return types