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example4.py
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# cython: language_level=3
# *****************************************************************************
# Copyright (c) 2016, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# - Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# - Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# - Neither the name of the copyright holder nor the names of its contributors
# may be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
# THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************
"""Example 1.
This example shows input and output types of specified function
This is useful for development
"""
import numpy
"""
Unary functions
"""
for function in [
numpy.sqrt,
numpy.fabs,
numpy.reciprocal,
numpy.square,
numpy.cbrt,
numpy.degrees,
numpy.radians,
]:
print()
for test_type in [
numpy.float64,
numpy.float32,
numpy.int64,
numpy.int32,
numpy.bool_,
]:
data = numpy.array([1, 2, 3, 4], dtype=test_type)
result = function(data)
print(
f"input:{data.dtype.name:10}: output:{result.dtype.name:10}: name:{function.__name__}"
)
"""
Two arguments functions
"""
for function in [numpy.equal, numpy.arctan2]:
print()
for input1_type in [
numpy.float64,
numpy.float32,
numpy.int64,
numpy.int32,
numpy.bool_,
]:
for input2_type in [
numpy.float64,
numpy.float32,
numpy.int64,
numpy.int32,
numpy.bool_,
]:
data1 = numpy.array([1, 2, 3, 4], dtype=input1_type)
data2 = numpy.array([11, 21, 31, 41], dtype=input2_type)
result = function(data1, data2)
msg = f"input1:{data1.dtype.name:10}: input2:{data2.dtype.name:10}"
msg += f": output:{result.dtype.name:10}: name:{function}"
print(msg)