A few spelling mistakes and many replacements: [Ss]imgrid -> SimGrid.

[simgrid.git] / docs / source / tuto_network_calibration / dahu_platform_ckmeans.cpp

diff --git a/docs/source/tuto_network_calibration/dahu_platform_ckmeans.cpp b/docs/source/tuto_network_calibration/dahu_platform_ckmeans.cpp
index dc7f1f1..2ac5db2 100644 (file)
--- a/docs/source/tuto_network_calibration/dahu_platform_ckmeans.cpp
+++ b/docs/source/tuto_network_calibration/dahu_platform_ckmeans.cpp
@@ -1,4 +1,4 @@
-/* Copyright (c) 2006-2022. The SimGrid Team. All rights reserved.          */
+/* Copyright (c) 2006-2023. The SimGrid Team. All rights reserved.          */
 
 /* This program is free software; you can redistribute it and/or modify it
  * under the terms of the license (GNU LGPL) which comes with this package. */
@@ -8,7 +8,6 @@
 #include <boost/property_tree/ptree.hpp>
 #include <map>
 #include <random>
-#include <simgrid/kernel/resource/NetworkModelIntf.hpp>
 #include <simgrid/s4u.hpp>
 #include <smpi/smpi.h>
 namespace sg4 = simgrid::s4u;
@@ -19,13 +18,13 @@ class NormalMixture : public Sampler {
   std::mt19937& gen_;
 
 public:
-  NormalMixture(std::mt19937& gen) : gen_(gen) {}
+  explicit NormalMixture(std::mt19937& gen) : gen_(gen) {}
   void append(double mean, double stddev, double prob)
   {
     mixture_.push_back(std::normal_distribution<double>(mean, stddev));
     prob_.push_back(prob);
   }
-  double sample()
+  double sample() override
   {
     std::discrete_distribution<> d(prob_.begin(), prob_.end());
     int index    = d(gen_);
@@ -40,7 +39,7 @@ public:
  *
  * @param latency_base The base latency for this calibration (user-defined)
  * @param seg Segmentation (user-defined)
- * @param size Message size (simgrid)
+ * @param size Message size (SimGrid)
  */
 static double latency_factor_cb(double latency_base, const SegmentedRegression& seg, double size,
                                 const sg4::Host* /*src*/, const sg4::Host* /*dst*/,
@@ -58,7 +57,7 @@ static double latency_factor_cb(double latency_base, const SegmentedRegression&
  *
  * @param bw_base The base bandwidth for this calibration (user-defined)
  * @param seg Segmentation (user-defined)
- * @param size Message size (simgrid)
+ * @param size Message size (SimGrid)
  */
 static double bw_factor_cb(double bw_base, const SegmentedRegression& seg, double size, const sg4::Host* /*src*/,
                            const sg4::Host* /*dst*/, const std::vector<sg4::Link*>& /*links*/,
@@ -119,14 +118,14 @@ void load_platform(const sg4::Engine& e)
   static std::mt19937 gen(42); // remove it from stack, since we need it after this this load_platform function is over
 
   /* setting network factors callbacks */
-  simgrid::kernel::resource::NetworkModelIntf* model = e.get_netzone_root()->get_network_model();
+  auto* zone = e.get_netzone_root();
 
   SegmentedRegression seg = read_json_file("pingpong_ckmeans.json", gen, false);
-  model->set_lat_factor_cb(std::bind(&latency_factor_cb, lat_base, seg, std::placeholders::_1, std::placeholders::_2,
-                                     std::placeholders::_3, std::placeholders::_4, std::placeholders::_5));
+  zone->set_latency_factor_cb(std::bind(&latency_factor_cb, lat_base, seg, std::placeholders::_1, std::placeholders::_2,
+                                        std::placeholders::_3, std::placeholders::_4, std::placeholders::_5));
 
-  model->set_bw_factor_cb(std::bind(&bw_factor_cb, bw_base, seg, std::placeholders::_1, std::placeholders::_2,
-                                    std::placeholders::_3, std::placeholders::_4, std::placeholders::_5));
+  zone->set_bandwidth_factor_cb(std::bind(&bw_factor_cb, bw_base, seg, std::placeholders::_1, std::placeholders::_2,
+                                          std::placeholders::_3, std::placeholders::_4, std::placeholders::_5));
 
   seg = read_json_file("send_ckmeans.json", gen);
   smpi_register_op_cost_callback(SmpiOperation::SEND, std::bind(&smpi_cost_cb, seg, std::placeholders::_1,