code: def gradient(self, y, f, l):
      if y == 0 and l == 0:
          cost = 10
      elif y == 0 and l == 1:
          cost = 20
      elif y == 1 and l == 0:
          cost = 200
      else:
          cost = 1
      return 1 - cost * f if y == l else 0 - cost * f
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.utils.distributions import CustomDistributionGaussian, CustomDistributionBernoulli, CustomDistributionMultinomial, CustomDistributionGeneric
  from tests.pyunit_utils import regression_model_distribution, regression_model_default
  from tests.pyunit_utils import multinomial_model_default, multinomial_model_distribution
  from tests.pyunit_utils import binomial_model_default, binomial_model_distribution, check_model_metrics
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
label_desc: Use image node_id 1 for calling the CustomDistributionMultinomialWrong obj's underlying member method code with example usage: obj.gradient(y, f, l) and returns: unknown