117 lines
3.3 KiB
C++
117 lines
3.3 KiB
C++
/******************************************************************************
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The MIT License(MIT)
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Embedded Template Library.
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https://github.com/ETLCPP/etl
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https://www.etlcpp.com
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Copyright(c) 2021 John Wellbelove
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files(the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and / or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions :
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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******************************************************************************/
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#include "unit_test_framework.h"
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#include "etl/mean.h"
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#include <array>
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namespace
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{
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std::array<char, 10> input_c
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{
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0, 1, 2, 3, 4, 5, 6, 7, 8, 9
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};
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//*********************************
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std::array<float, 10> input_f
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{
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0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f
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};
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//*********************************
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std::array<double, 10> input_d
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{
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0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0
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};
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SUITE(test_mean)
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{
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//*************************************************************************
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TEST(test_char_mean_default_constructor)
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{
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etl::mean<char, int32_t> mean;
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double mean_result = mean;
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CHECK_EQUAL(0.0, mean_result);
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}
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//*************************************************************************
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TEST(test_float_mean_default_constructor)
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{
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etl::mean<float> mean;
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double mean_result = mean;
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CHECK_EQUAL(0.0, mean_result);
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}
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//*************************************************************************
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TEST(test_double_mean_default_constructor)
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{
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etl::mean<double> mean;
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double mean_result = mean;
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CHECK_EQUAL(0.0, mean_result);
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}
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//*************************************************************************
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TEST(test_char_mean_constructor)
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{
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double mean_result;
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etl::mean<char, int32_t> mean1(input_c.begin(), input_c.end());
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mean_result = mean1.get_mean();
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CHECK_CLOSE(4.5, mean_result, 0.1);
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}
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//*************************************************************************
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TEST(test_float_mean_constructor)
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{
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double mean_result;
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etl::mean<float> mean1(input_f.begin(), input_f.end());
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mean_result = mean1.get_mean();
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CHECK_CLOSE(4.5, mean_result, 0.1);
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}
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//*************************************************************************
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TEST(test_double_mean_constructor)
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{
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double mean_result;
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etl::mean<double> mean1(input_d.begin(), input_d.end());
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mean_result = mean1.get_mean();
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CHECK_CLOSE(4.5, mean_result, 0.1);
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}
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};
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}
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