python/benchmarks/microbenchmarks.py

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#   http://www.apache.org/licenses/LICENSE-2.0
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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)