Imported Upstream version 1.72.0

[platform/upstream/boost.git] / libs / histogram / examples / guide_fill_profile.cpp

diff --git a/libs/histogram/examples/guide_fill_profile.cpp b/libs/histogram/examples/guide_fill_profile.cpp
index 687582a..55d6508 100644 (file)
--- a/libs/histogram/examples/guide_fill_profile.cpp
+++ b/libs/histogram/examples/guide_fill_profile.cpp
@@ -11,25 +11,25 @@
 #include <cassert>
 #include <iostream>
 #include <sstream>
-#include <utility>
+#include <tuple>
 
 int main() {
   using namespace boost::histogram;
 
   // make a profile, it computes the mean of the samples in each histogram cell
-  auto h = make_profile(axis::regular<>(3, 0.0, 1.0));
+  auto h = make_profile(axis::integer<>(0, 3));
 
   // mean is computed from the values marked with the sample() helper function
-  h(0.10, sample(2.5)); // 2.5 goes to bin 0
-  h(0.25, sample(3.5)); // 3.5 goes to bin 0
-  h(0.45, sample(1.2)); // 1.2 goes to bin 1
-  h(sample(3.4), 0.51); // 3.4 goes to bin 1, sample be at the front
+  h(0, sample(1)); // sample goes to cell 0
+  h(0, sample(2)); // sample goes to cell 0
+  h(1, sample(3)); // sample goes to cell 1
+  h(sample(4), 1); // sample goes to cell 1; sample can be first or last argument
 
-  // fills from tuples are also supported, 1.3 and 1.9 go to bin 2
-  auto xs1 = std::make_tuple(0.81, sample(1.3));
-  auto xs2 = std::make_tuple(0.86, sample(1.9));
-  h(xs1);
-  h(xs2);
+  // fills from tuples are also supported, 5 and 6 go to cell 2
+  auto a = std::make_tuple(2, sample(5));
+  auto b = std::make_tuple(sample(6), 2);
+  h(a);
+  h(b);
 
   // builtin accumulators have methods to access their state
   std::ostringstream os;
@@ -40,14 +40,14 @@ int main() {
     const auto n = x->count();     // how many samples are in this bin
     const auto vl = x->value();    // mean value
     const auto vr = x->variance(); // estimated variance of the mean value
-    os << boost::format("bin %i count %i value %.1f variance %.1f\n") % i % n % vl % vr;
+    os << boost::format("index %i count %i value %.1f variance %.1f\n") % i % n % vl % vr;
   }
 
   std::cout << os.str() << std::flush;
 
-  assert(os.str() == "bin 0 count 2 value 3.0 variance 0.5\n"
-                     "bin 1 count 2 value 2.3 variance 2.4\n"
-                     "bin 2 count 2 value 1.6 variance 0.2\n");
+  assert(os.str() == "index 0 count 2 value 1.5 variance 0.5\n"
+                     "index 1 count 2 value 3.5 variance 0.5\n"
+                     "index 2 count 2 value 5.5 variance 0.5\n");
 }
 
 //]