From 4ba017094d3246cd8fe917a6c45443ba25d74b1d Mon Sep 17 00:00:00 2001
From: vrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>
Date: Fri, 2 Jun 2017 14:00:20 +0000
Subject: Fix some cpplint

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/persistence_representation_integration@2502 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 0a6422b0fa27105b9aaba743371da3328d9039be
---
 .../example/persistence_heat_maps.cpp              | 23 ++++++++++------------
 1 file changed, 10 insertions(+), 13 deletions(-)

(limited to 'src/Persistence_representations/example/persistence_heat_maps.cpp')

diff --git a/src/Persistence_representations/example/persistence_heat_maps.cpp b/src/Persistence_representations/example/persistence_heat_maps.cpp
index a9ac5df5..2a472ac6 100644
--- a/src/Persistence_representations/example/persistence_heat_maps.cpp
+++ b/src/Persistence_representations/example/persistence_heat_maps.cpp
@@ -20,17 +20,14 @@
  *    along with this program.  If not, see <http://www.gnu.org/licenses/>.
  */
 
-#include <gudhi/reader_utils.h>
 #include <gudhi/Persistence_heat_maps.h>
 
 #include <iostream>
 #include <vector>
 #include <utility>
 
-using namespace Gudhi;
-using namespace Gudhi::Persistence_representations;
-
-double epsilon = 0.0000005;
+using constant_scaling_function = Gudhi::Persistence_representations::constant_scaling_function;
+using Persistence_heat_maps = Gudhi::Persistence_representations::Persistence_heat_maps<constant_scaling_function>;
 
 int main(int argc, char** argv) {
   // create two simple vectors with birth--death pairs:
@@ -50,30 +47,30 @@ int main(int argc, char** argv) {
 
   // over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can
   // be anything. Over here we will use standard Gaussian
-  std::vector<std::vector<double> > filter = create_Gaussian_filter(5, 1);
+  std::vector<std::vector<double> > filter = Gudhi::Persistence_representations::create_Gaussian_filter(5, 1);
 
   // creating two heat maps.
-  Persistence_heat_maps<constant_scaling_function> hm1(persistence1, filter, false, 20, 0, 11);
-  Persistence_heat_maps<constant_scaling_function> hm2(persistence2, filter, false, 20, 0, 11);
+  Persistence_heat_maps hm1(persistence1, filter, false, 20, 0, 11);
+  Persistence_heat_maps hm2(persistence2, filter, false, 20, 0, 11);
 
-  std::vector<Persistence_heat_maps<constant_scaling_function>*> vector_of_maps;
+  std::vector<Persistence_heat_maps*> vector_of_maps;
   vector_of_maps.push_back(&hm1);
   vector_of_maps.push_back(&hm2);
 
   // compute median/mean of a vector of heat maps:
-  Persistence_heat_maps<constant_scaling_function> mean;
+  Persistence_heat_maps mean;
   mean.compute_mean(vector_of_maps);
-  Persistence_heat_maps<constant_scaling_function> median;
+  Persistence_heat_maps median;
   median.compute_median(vector_of_maps);
 
   // to compute L^1 distance between hm1 and hm2:
   std::cout << "The L^1 distance is : " << hm1.distance(hm2, 1) << std::endl;
 
   // to average of hm1 and hm2:
-  std::vector<Persistence_heat_maps<constant_scaling_function>*> to_average;
+  std::vector<Persistence_heat_maps*> to_average;
   to_average.push_back(&hm1);
   to_average.push_back(&hm2);
-  Persistence_heat_maps<constant_scaling_function> av;
+  Persistence_heat_maps av;
   av.compute_average(to_average);
 
   // to compute scalar product of hm1 and hm2:
-- 
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