update sources to v12.2.3

[ceph.git] / ceph / src / boost / libs / math / test / test_binomial.cpp

diff --git a/ceph/src/boost/libs/math/test/test_binomial.cpp b/ceph/src/boost/libs/math/test/test_binomial.cpp
index 9f5adcd6a7bef8f502bac03b479eebe10b0ef688..d20765d79e6d945e2eb47a22688b301a87f2895d 100644 (file)
--- a/ceph/src/boost/libs/math/test/test_binomial.cpp
+++ b/ceph/src/boost/libs/math/test/test_binomial.cpp
@@ -642,12 +642,6 @@ void test_spots(RealType T)
   for(unsigned i = 0; i < binomial_quantile_data.size(); ++i)
   {
      using namespace boost::math::policies;
-     typedef policy<discrete_quantile<boost::math::policies::real> > P1;
-     typedef policy<discrete_quantile<integer_round_down> > P2;
-     typedef policy<discrete_quantile<integer_round_up> > P3;
-     typedef policy<discrete_quantile<integer_round_outwards> > P4;
-     typedef policy<discrete_quantile<integer_round_inwards> > P5;
-     typedef policy<discrete_quantile<integer_round_nearest> > P6;
      RealType tol = boost::math::tools::epsilon<RealType>() * 500;
      if(!boost::is_floating_point<RealType>::value)
         tol *= 10;  // no lanczos approximation implies less accuracy
@@ -656,6 +650,7 @@ void test_spots(RealType T)
      //
      // Check full real value first:
      //
+     typedef policy<discrete_quantile<boost::math::policies::real> > P1;
      binomial_distribution<RealType, P1> p1(binomial_quantile_data[i][0], binomial_quantile_data[i][1]);
      x = quantile(p1, binomial_quantile_data[i][2]);
      BOOST_CHECK_CLOSE_FRACTION(x, (RealType)binomial_quantile_data[i][3], tol);
@@ -666,6 +661,7 @@ void test_spots(RealType T)
      //
      // Now with round down to integer:
      //
+     typedef policy<discrete_quantile<integer_round_down> > P2;
      binomial_distribution<RealType, P2> p2(binomial_quantile_data[i][0], binomial_quantile_data[i][1]);
      x = quantile(p2, binomial_quantile_data[i][2]);
      BOOST_CHECK_EQUAL(x, (RealType)floor(binomial_quantile_data[i][3]));
@@ -676,6 +672,7 @@ void test_spots(RealType T)
      //
      // Now with round up to integer:
      //
+     typedef policy<discrete_quantile<integer_round_up> > P3;
      binomial_distribution<RealType, P3> p3(binomial_quantile_data[i][0], binomial_quantile_data[i][1]);
      x = quantile(p3, binomial_quantile_data[i][2]);
      BOOST_CHECK_EQUAL(x, (RealType)ceil(binomial_quantile_data[i][3]));
@@ -686,6 +683,7 @@ void test_spots(RealType T)
      //
      // Now with round to integer "outside":
      //
+     typedef policy<discrete_quantile<integer_round_outwards> > P4;
      binomial_distribution<RealType, P4> p4(binomial_quantile_data[i][0], binomial_quantile_data[i][1]);
      x = quantile(p4, binomial_quantile_data[i][2]);
      BOOST_CHECK_EQUAL(x, (RealType)(binomial_quantile_data[i][2] < 0.5f ? floor(binomial_quantile_data[i][3]) : ceil(binomial_quantile_data[i][3])));
@@ -696,6 +694,7 @@ void test_spots(RealType T)
      //
      // Now with round to integer "inside":
      //
+     typedef policy<discrete_quantile<integer_round_inwards> > P5;
      binomial_distribution<RealType, P5> p5(binomial_quantile_data[i][0], binomial_quantile_data[i][1]);
      x = quantile(p5, binomial_quantile_data[i][2]);
      BOOST_CHECK_EQUAL(x, (RealType)(binomial_quantile_data[i][2] < 0.5f ? ceil(binomial_quantile_data[i][3]) : floor(binomial_quantile_data[i][3])));
@@ -706,6 +705,7 @@ void test_spots(RealType T)
      //
      // Now with round to nearest integer:
      //
+     typedef policy<discrete_quantile<integer_round_nearest> > P6;
      binomial_distribution<RealType, P6> p6(binomial_quantile_data[i][0], binomial_quantile_data[i][1]);
      x = quantile(p6, binomial_quantile_data[i][2]);
      BOOST_CHECK_EQUAL(x, (RealType)(floor(binomial_quantile_data[i][3] + 0.5f)));
@@ -765,7 +765,7 @@ Output is:
   Tolerance for type double is 2.22045e-011 %
   Tolerance for type long double is 2.22045e-011 %
   Tolerance for type class boost::math::concepts::real_concept is 2.22045e-011 %
-  
+
   *** No errors detected
 
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