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

#
#  Copyright 2019 The FATE Authors. All Rights Reserved.
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#
from federatedml.param.base_param import BaseParam


class OneHotEncoderParam(BaseParam):
    """

    Parameters
    ----------
    transform_col_indexes: list or int, default: -1
        Specify which columns need to calculated. -1 represent for all columns.
    transform_col_names : list of string, default: []
        Specify which columns need to calculated. Each element in the list represent for a column name in header.
    need_run: bool, default True
        Indicate if this module needed to be run
    """

    def __init__(self, transform_col_indexes=-1, transform_col_names=None, need_run=True):
        super(OneHotEncoderParam, self).__init__()
        if transform_col_names is None:
            transform_col_names = []
        self.transform_col_indexes = transform_col_indexes
        self.transform_col_names = transform_col_names
        self.need_run = need_run

    def check(self):
        descr = "One-hot encoder param's"
        self.check_defined_type(self.transform_col_indexes, descr, ['list', 'int', 'NoneType'])
        self.check_defined_type(self.transform_col_names, descr, ['list', 'NoneType'])
        return True