code: def lambda_3_elu(sigma, norm, theta):
      """
      Evaluate the lambda 1 at the value of s and norm, assuming sigma is at
      sigma star.
      """
      term1 = 1 / (2 * np.pi) * (np.pi - theta)
  
      rho = np.cos(theta)
      rv = multivariate_normal(mean=[0, 0], cov=[[1, -rho], [-rho, 1]])
      term2 = (
          2
          * np.exp((sigma * norm) ** 2 / 2)
          * rv.cdf([-sigma * norm, sigma * norm * rho])
      )
  
      rv = multivariate_normal(mean=[0, 0], cov=[[1, rho], [rho, 1]])
      term3 = np.exp(
          0.5
          * (2 * (sigma * norm) ** 2 + 2 * (sigma * norm) ** 2 * rho)
      ) * rv.cdf(
          [
              -sigma * norm - sigma * norm * rho,
              -sigma * norm - sigma * norm * rho,
          ]
      )
  
      return sigma**2 * (term1 + term2 + term3)
  
file_path: elu-gelu-kernels/code/dynamics/dynamics.py
imports: from ..kernels.nn_kernel_elu import NNKernelElu
  from ..kernels.nn_kernel_gelu import NNKernelGelu
  from ..kernels.nn_kernel_relu import NNKernelRelu
  import matplotlib
  import matplotlib.pyplot
  from matplotlib import rc
  import numpy
  import scipy.optimize
  from scipy.stats import multivariate_normal
label_desc: Use image node_id 5 for calling a global function with example usage: lambda_3_elu(sigma, norm, theta) and returns: unknown