code: def tsss(x, y):
      d_euc_squared = 0.0
      d_cos = 0.0
      norm_x = 0.0
      norm_y = 0.0
      dim = x.shape[0]
  
      for i in range(dim):
          diff = x[i] - y[i]
          d_euc_squared += diff * diff
          d_cos += x[i] * y[i]
          norm_x += x[i] * x[i]
          norm_y += y[i] * y[i]
  
      norm_x = np.sqrt(norm_x)
      norm_y = np.sqrt(norm_y)
      magnitude_difference = np.abs(norm_x - norm_y)
      d_cos /= norm_x * norm_y
      theta = np.arccos(d_cos) + np.radians(
          10
      )  # Add 10 degrees as an "epsilon" to
      # avoid problems
      sector = (
          (np.sqrt(d_euc_squared) + magnitude_difference) ** 2
      ) * theta
      triangle = norm_x * norm_y * np.sin(theta) / 2.0
      return triangle * sector
  
imports: import numpy
  import numba
  from pynndescent.optimal_transport import allocate_graph_structures, initialize_graph_structures, initialize_supply, initialize_cost, network_simplex_core, total_cost, ProblemStatus, sinkhorn_transport_plan
label_desc: Use image node_id 29 for calling a global function with example usage: tsss(x, y) and returns: unknown