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# 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)
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