correct python client

classifier_client.py

import classifier_types
import msgpackrpc

class classifier:
  def __init__ (self, host, port):
    address = msgpackrpc.Address(host, port)
    self.client = msgpackrpc.Client(address)

  def set_config (self, arg0, arg1):
    arg0 = arg0
    arg1 = arg1.to_array()

    return self.client.call('set_config', arg0, arg1)

  def get_config (self, arg0, arg1):
    arg0 = arg0
    arg1 = arg1

    return self.client.call('get_config', arg0, arg1)

  def train (self, arg0, arg1):
    arg0 = arg0
    arg1 = [(lab, elem.to_array()) for lab, elem in arg1]

    return self.client.call('train', arg0, arg1)

  def classify (self, arg0, arg1):
    arg0 = arg0
    arg1 = [elem.to_array() for elem in arg1]

    return self.client.call('classify', arg0, arg1)

  def save (self, arg0, arg1):
    arg0 = arg0
    arg1 = arg1

    return self.client.call('save', arg0, arg1)

  def load (self, arg0, arg1):
    arg0 = arg0
    arg1 = arg1

    return self.client.call('load', arg0, arg1)

  def get_status (self, arg0, arg1):
    arg0 = arg0
    arg1 = arg1

    return self.client.call('get_status', arg0, arg1)

classifier_types.py

#/usr/bin/python
# -*- coding:utf-8 -*-

# This file is auto-generated from TYPES
# *** DO NOT EDIT ***


import sys
import msgpack


class string_rule:

  def __init__(self, key, type, sample_weight, global_weight):
    self.key = key
    self.type = type
    self.sample_weight = sample_weight
    self.global_weight = global_weight

  def to_array(self):
    variables = []
    variables.append(self.key)
    variables.append(self.type)
    variables.append(self.sample_weight)
    variables.append(self.global_weight)

    return variables

class filter_rule:

  def __init__(self, key, type, suffix):
    self.key = key
    self.type = type
    self.suffix = suffix

  def to_array(self):
    variables = []
    variables.append(self.key)
    variables.append(self.type)
    variables.append(self.suffix)

    return variables

class num_rule:

  def __init__(self, key, type):
    self.key = key
    self.type = type

  def to_array(self):
    variables = []
    variables.append(self.key)
    variables.append(self.type)

    return variables

class converter_config:

  def __init__(self, string_filter_types, string_filter_rules, num_filter_types, num_filter_rules, string_types, string_rules, num_types, num_rules):
    self.string_filter_types = string_filter_types
    self.string_filter_rules = string_filter_rules
    self.num_filter_types = num_filter_types
    self.num_filter_rules = num_filter_rules
    self.string_types = string_types
    self.string_rules = string_rules
    self.num_types = num_types
    self.num_rules = num_rules

  def to_array(self):
    variables = []
    variables.append(self.string_filter_types)
    variables.append([elem.to_array() for elem in self.string_filter_rules])
    variables.append(self.num_filter_types)
    variables.append([elem.to_array() for elem in self.num_filter_rules])
    variables.append(self.string_types)
    variables.append([elem.to_array() for elem in self.string_rules])
    variables.append(self.num_types)
    variables.append([elem.to_array() for elem in self.num_rules])

    return variables

class config_data:

  def __init__(self, method, config):
    self.method = method
    self.config = config

  def to_array(self):
    variables = []
    variables.append(self.method)
    variables.append(self.config.to_array())

    return variables

class datum:

  def __init__(self, sv, nv):
    self.sv = sv
    self.nv = nv

  def to_array(self):
    variables = (self.sv, self.nv)

    return variables

class estimate_result:

  def __init__(self, label, prob):
    self.label = label
    self.prob = prob

  def to_array(self):
    variables = []
    variables.append(self.label)
    variables.append(self.prob)

    return variables