text: /**
   * @cond ___LICENSE___
   *
   * Copyright (c) 2016-2018 Zefiros Software.
   *
   * 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.
   *
   * @endcond
   */
  
  #include "plot/plotting.h"
  
  #include "helper.h"
  
  TEST(CrossCorrelationPlot, CrossCorrelationPlot)
  {
      TestPlot< CrossCorrelationPlot >("CrossCorrelationPlot", []()
      {
          vec xVec = randu(200);
          vec yVec = randu(200);
          CrossCorrelationPlot f(xVec, yVec);
          return f;
      });
  }
  
  TEST(CrossCorrelationPlot, CrossCorrelationPlot2)
  {
      TestPlot< CrossCorrelationPlot >("CrossCorrelationPlot_SetHold", []()
      {
          vec xVec = randu(200);
          vec yVec = randu(200);
          CrossCorrelationPlot f(xVec, yVec);
          f.SetLineWidth(3)
          .SetColour("b")
          .Normed(true);
          return f;
      });
  }
  
  TEST(CrossCorrelationPlot, SetVLines)
  {
      TestPlot< CrossCorrelationPlot >("CrossCorrelationPlot_SetVLines", []()
      {
          vec xVec = randu(200);
          vec yVec = randu(200);
          CrossCorrelationPlot f(xVec, yVec);
          f.SetMarker(".")
          .VLines(false)
          .SetMaxLags(100)
          .SetDetrend(CrossCorrelationPlot::Detrend::Linear);
          return f;
      });
  }