code: def log_loss(preds, labels):
      """Logarithmic loss with non-necessarily-binary labels."""
      log_likelihood = np.sum(labels * np.log(preds)) / len(preds)
      return -log_likelihood
  
imports: import time
  import numpy
  import pandas
  from scipy.special import expit
  import lightgbm
label_desc: Use image node_id 1 for calling a global function with example usage: log_loss(preds, labels) and returns: unknown