code: def bray_curtis(x, y):
      numerator = 0.0
      denominator = 0.0
      for i in range(x.shape[0]):
          numerator += np.abs(x[i] - y[i])
          denominator += np.abs(x[i] + y[i])
  
      if denominator > 0.0:
          return float(numerator) / denominator
      else:
          return 0.0
  
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 11 for calling a global function with example usage: bray_curtis(x, y) and returns: unknown, int