code: def generate_ordinal():
      # Regression coefficients
      beta = np.zeros(5, dtype=np.float64)
      beta[2] = 1
      beta[4] = -1
  
      rz = 0.5
  
      OUT = open("gee_ordinal_1.csv", "w", encoding="utf-8")
  
      for i in range(200):
          n = np.random.randint(3, 6)  # Cluster size
  
          x = np.random.normal(size=(n, 5))
          for j in range(5):
              x[:, j] += np.random.normal()
          pr = np.dot(x, beta)
          pr = np.array([1, 0, -0.5]) + pr[:, None]
          pr = 1 / (1 + np.exp(-pr))
  
          z = rz * np.random.normal() + np.sqrt(
              1 - rz**2
          ) * np.random.normal(size=n)
          u = norm.cdf(z)
  
          y = (u[:, None] > pr).sum(1)
  
          for j in range(n):
              OUT.write("%d, %d," % (i, y[j]))
              OUT.write(",".join(["%.3f" % b for b in x[j, :]]) + "\n")
  
      OUT.close()
  
file_path: statsmodels/statsmodels/genmod/tests/results/gee_generate_tests.py
imports: import numpy
  from scipy.stats.distributions import norm
label_desc: Use image node_id 4 for calling a global function with example usage: generate_ordinal() without return types