# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. import pyarrow.benchmark as pb from . import common class PandasObjectIsNull(object): size = 10 ** 5 types = ('int', 'float', 'object', 'decimal') param_names = ['type'] params = [types] def setup(self, type_name): gen = common.BuiltinsGenerator() if type_name == 'int': lst = gen.generate_int_list(self.size) elif type_name == 'float': lst = gen.generate_float_list(self.size, use_nan=True) elif type_name == 'object': lst = gen.generate_object_list(self.size) elif type_name == 'decimal': lst = gen.generate_decimal_list(self.size) else: assert 0 self.lst = lst def time_PandasObjectIsNull(self, *args): pb.benchmark_PandasObjectIsNull(self.lst)