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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 as pa
from . import common
# TODO:
# - test dates and times
class ConvertPyListToArray(object):
"""
Benchmark pa.array(list of values, type=...)
"""
size = 10 ** 5
types = ('int32', 'uint32', 'int64', 'uint64',
'float32', 'float64', 'bool', 'decimal',
'binary', 'binary10', 'ascii', 'unicode',
'int64 list', 'struct', 'struct from tuples')
param_names = ['type']
params = [types]
def setup(self, type_name):
gen = common.BuiltinsGenerator()
self.ty, self.data = gen.get_type_and_builtins(self.size, type_name)
def time_convert(self, *args):
pa.array(self.data, type=self.ty)
class InferPyListToArray(object):
"""
Benchmark pa.array(list of values) with type inference
"""
size = 10 ** 5
types = ('int64', 'float64', 'bool', 'decimal', 'binary', 'ascii',
'unicode', 'int64 list', 'struct')
param_names = ['type']
params = [types]
def setup(self, type_name):
gen = common.BuiltinsGenerator()
self.ty, self.data = gen.get_type_and_builtins(self.size, type_name)
def time_infer(self, *args):
arr = pa.array(self.data)
assert arr.type == self.ty
class ConvertArrayToPyList(object):
"""
Benchmark pa.array.to_pylist()
"""
size = 10 ** 5
types = ('int32', 'uint32', 'int64', 'uint64',
'float32', 'float64', 'bool', 'decimal',
'binary', 'binary10', 'ascii', 'unicode',
'int64 list', 'struct')
param_names = ['type']
params = [types]
def setup(self, type_name):
gen = common.BuiltinsGenerator()
self.ty, self.data = gen.get_type_and_builtins(self.size, type_name)
self.arr = pa.array(self.data, type=self.ty)
def time_convert(self, *args):
self.arr.to_pylist()
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