git subrepo clone --branch=20.41.6 git@github.com:ETLCPP/etl.git components/etl

subrepo:
  subdir:   "components/etl"
  merged:   "be5537ec"
upstream:
  origin:   "git@github.com:ETLCPP/etl.git"
  branch:   "20.41.6"
  commit:   "be5537ec"
git-subrepo:
  version:  "0.4.9"
  origin:   "???"
  commit:   "???"

components/etl/test/test_variance.cpp

@@ -0,0 +1,146 @@
+/******************************************************************************
+The MIT License(MIT)
+
+Embedded Template Library.
+https://github.com/ETLCPP/etl
+https://www.etlcpp.com
+
+Copyright(c) 2021 John Wellbelove
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files(the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and / or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions :
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+******************************************************************************/
+
+#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);
+    }
+  };
+}