old_contents: # -*- coding: utf-8 -*-
  
  from __future__ import absolute_import, division, print_function, unicode_literals
  
  import jubatus
  
  from .base import GenericSchema, BaseDataset, BaseService, GenericConfig
  from .compat import *
  
  class Schema(GenericSchema):
    """
    Schema for Weight service.
    """
    pass
  
  class Dataset(BaseDataset):
    """
    Dataset for Weight service.
    """
  
    @classmethod
    def _predict(cls, row):
      return Schema.predict(row, False)
  
  class Weight(BaseService):
    """
    Weight service.
    """
  
    @classmethod
    def name(cls):
      return 'weight'
  
    @classmethod
    def _client_class(cls):
      return jubatus.weight.client.Weight
  
    def update(self, dataset):
      """
      Updates the weight using the given dataset and returns extracted feature vectors.
      """
  
      cli = self._client()
      for (idx, d) in dataset:
        result = cli.update(d)
        yield (idx, result)
  
    def calc_weight(self, dataset):
      """
      Returns extracted feature vectors, without modifying the weight model.
      """
  
      cli = self._client()
      for (idx, d) in dataset:
        result = cli.calc_weight(d)
        yield (idx, result)
  
  class Config(GenericConfig):
    """
    Configuration to run Weight service.
    """
  
    @classmethod
    def methods(cls):
      return []
  
    @classmethod
    def _default_method(cls):
      return None
  
    @classmethod
    def _default_parameter(cls, method):
      return None
  
new_contents: # -*- coding: utf-8 -*-
  
  from __future__ import absolute_import, division, print_function, unicode_literals
  
  import jubatus
  
  from .base import GenericSchema, BaseDataset, BaseService, GenericConfig
  from .compat import *
  
  class Schema(GenericSchema):
    """
    Schema for Weight service.
    """
    pass
  
  class Dataset(BaseDataset):
    """
    Dataset for Weight service.
    """
  
    @classmethod
    def _predict(cls, row):
      return Schema.predict(row, False)
  
  class Weight(BaseService):
    """
    Weight service.
    """
  
    @classmethod
    def name(cls):
      return 'weight'
  
    @classmethod
    def _client_class(cls):
      return jubatus.weight.client.Weight
  
    def update(self, dataset):
      """
      Updates the weight using the given dataset and returns extracted feature vectors.
      """
  
      cli = self._client()
      for (idx, d) in dataset:
        result = cli.update(d)
        yield (idx, result)
  
    def calc_weight(self, dataset):
      """
      Returns extracted feature vectors, without modifying the weight model.
      """
  
      cli = self._client()
      for (idx, d) in dataset:
        result = cli.calc_weight(d)
        yield (idx, result)
  
  class Config(GenericConfig):
    """
    Configuration to run Weight service.
    """
  
    @classmethod
    def methods(cls):
      return [None]
  
    @classmethod
    def _default_method(cls):
      return None
  
    @classmethod
    def _default_parameter(cls, method):
      return None
  
subject: fix to return None for method list