etl/test/test_variance.cpp

/******************************************************************************
The MIT License(MIT)

Embedded Template Library.
https://github.com/ETLCPP/etl
https://www.etlcpp.com

Copyright(c) 2021 jwellbelove

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******************************************************************************/

#include "unit_test_framework.h"

#include "etl/variance.h"

#include <array>

namespace
{
  std::array<char, 10> input_c
  {
    0, 1, 2, 3, 4, 5, 6, 7, 8, 9
  };

  //*********************************
  std::array<float, 10> input_f
  {
    0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f
  };

  //*********************************
  std::array<double, 10> input_d
  {
    0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0
  };

  SUITE(test_variance)
  {
    //*************************************************************************
    TEST(test_char_variance_default_constructor)
    {
      etl::variance<etl::variance_type::Population, char, int32_t> variance;

      double variance_result = variance;

      CHECK_EQUAL(0.0, variance_result);
    }

    //*************************************************************************
    TEST(test_float_variance_default_constructor)
    {
      etl::variance<etl::variance_type::Population, float> variance;

      double variance_result = variance;

      CHECK_EQUAL(0.0, variance_result);
    }

    //*************************************************************************
    TEST(test_double_variance_default_constructor)
    {
      etl::variance<etl::variance_type::Population, double> variance;

      double variance_result = variance;

      CHECK_EQUAL(0.0, variance_result);
    }

    //*************************************************************************
    TEST(test_char_variance_constructor_population)
    {
      double variance_result;

      etl::variance<etl::variance_type::Population, char, int32_t> variance1(input_c.begin(), input_c.end());
      variance_result = variance1.get_variance();
      CHECK_CLOSE(8.25, variance_result, 0.1);
    }

    //*************************************************************************
    TEST(test_char_variance_constructor_sample)
    {
      double variance_result;

      etl::variance<etl::variance_type::Sample, char, int32_t> variance1(input_c.begin(), input_c.end());
      variance_result = variance1.get_variance();
      CHECK_CLOSE(9.17, variance_result, 0.1);
    }

    //*************************************************************************
    TEST(test_float_variance_constructor_population)
    {
      double variance_result;

      etl::variance<etl::variance_type::Population, float> variance1(input_f.begin(), input_f.end());
      variance_result = variance1.get_variance();
      CHECK_CLOSE(8.25, variance_result, 0.1);
    }

    //*************************************************************************
    TEST(test_float_variance_constructor_sample)
    {
      double variance_result;

      etl::variance<etl::variance_type::Sample, float> variance1(input_f.begin(), input_f.end());
      variance_result = variance1.get_variance();
      CHECK_CLOSE(9.17, variance_result, 0.1);
    }

    //*************************************************************************
    TEST(test_double_variance_constructor_population)
    {
      double variance_result;

      etl::variance<etl::variance_type::Population, double> variance1(input_d.begin(), input_d.end());
      variance_result = variance1.get_variance();
      CHECK_CLOSE(8.25, variance_result, 0.1);
    }

    //*************************************************************************
    TEST(test_double_variance_constructor_sample)
    {
      double variance_result;

      etl::variance<etl::variance_type::Sample, double> variance1(input_d.begin(), input_d.end());
      variance_result = variance1.get_variance();
      CHECK_CLOSE(9.17, variance_result, 0.1);
    }
  };
}