Renamed all the rand::kernel_1a and rand::float_1a declarations

to just say rand.

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%404250

dlib/bayes_utils/bayes_utils.h

@@ -1188,7 +1188,7 @@ namespace dlib
 
         assignment v;
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
         matrix<double,1> samples; 
     };
 

dlib/manifold_regularization/graph_creation.h

@@ -82,7 +82,7 @@ namespace dlib
         std::vector<sample_pair, alloc> edges;
         edges.reserve(num);
 
-        dlib::rand::kernel_1a rnd;
+        dlib::rand rnd;
         rnd.set_seed(cast_to_string(random_seed));
 
         // randomly sample a bunch of edges
@@ -211,7 +211,7 @@ namespace dlib
         std::vector<sample_pair, alloc> temp;
         temp.reserve(num);
 
-        dlib::rand::kernel_1a rnd;
+        dlib::rand rnd;
         rnd.set_seed(cast_to_string(random_seed));
 
         // randomly sample a bunch of edges

dlib/mlp/mlp_kernel_1.h

@@ -362,7 +362,7 @@ namespace dlib
         matrix<double> w3m;
 
 
-        rand::float_1a rand_nums;
+        rand rand_nums;
 
         // temporary storage
         mutable matrix<double> e1, e2, e3;

dlib/statistics/random_subset_selector.h

@@ -15,7 +15,7 @@ namespace dlib
 {
     template <
         typename T,
-        typename Rand_type = dlib::rand::kernel_1a
+        typename Rand_type = dlib::rand
         >
     class random_subset_selector
     {

dlib/statistics/random_subset_selector_abstract.h

@@ -12,7 +12,7 @@ namespace dlib
 {
     template <
         typename T,
-        typename Rand_type = dlib::rand::kernel_1a
+        typename Rand_type = dlib::rand
         >
     class random_subset_selector
     {

dlib/svm/linearly_independent_subset_finder.h

@@ -484,7 +484,7 @@ namespace dlib
         const vector_type& samples
     )
     {   
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
         impl::fill_lisf(lisf, vector_to_matrix(samples),rnd, 2000);
     }
 
@@ -515,7 +515,7 @@ namespace dlib
         const int sampling_size = 2000
     )
     {   
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
         rnd.set_seed(cast_to_string(random_seed));
         impl::fill_lisf(lisf, vector_to_matrix(samples), rnd, sampling_size);
     }

dlib/svm/pegasos.h

@@ -544,7 +544,7 @@ namespace dlib
             typedef typename decision_function<kernel_type>::sample_vector_type sample_vector_type;
             typedef typename decision_function<kernel_type>::scalar_vector_type scalar_vector_type;
 
-            dlib::rand::kernel_1a rnd;
+            dlib::rand rnd;
 
             trainer_type my_trainer(trainer);
 
@@ -594,7 +594,7 @@ namespace dlib
             typedef typename decision_function<kernel_type>::sample_vector_type sample_vector_type;
             typedef typename decision_function<kernel_type>::scalar_vector_type scalar_vector_type;
 
-            dlib::rand::kernel_1a rnd;
+            dlib::rand rnd;
 
             // make a caching kernel
             typedef caching_kernel<kernel_type, in_sample_vector_type> ckernel_type;

dlib/svm/svm.h

@@ -772,7 +772,7 @@ namespace dlib
         U& u
     )
     {
-        rand::kernel_1a r;
+        rand r;
         randomize_samples(t,u,r);
     }
 
@@ -846,7 +846,7 @@ namespace dlib
         T& t
     )
     {
-        rand::kernel_1a r;
+        rand r;
         randomize_samples(t,r);
     }
 

dlib/svm/svm_c_ekm_trainer.h

@@ -422,7 +422,7 @@ namespace dlib
             // we will use a linearly_independent_subset_finder to store our basis set. 
             linearly_independent_subset_finder<kernel_type> lisf(get_kernel(), max_basis_size);
 
-            dlib::rand::kernel_1a rnd;
+            dlib::rand rnd;
 
             // first pick the initial basis set randomly
             for (unsigned long i = 0; i < 10*initial_basis_size && lisf.size() < initial_basis_size; ++i)

dlib/test/array.cpp

@@ -33,7 +33,7 @@ namespace
             - runs tests on array for compliance with the specs
     !*/
     {        
-        dlib::rand::kernel_1a rnd;
+        dlib::rand rnd;
 
 
         array a1, a2;

dlib/test/checkerboard.h

@@ -27,7 +27,7 @@ namespace dlib
               board_dimension squares on each side. 
     !*/
     {
-        static dlib::rand::float_1a rnd;
+        static dlib::rand rnd;
 
         x.clear();
         y.clear();

dlib/test/discriminant_pca.cpp

@@ -38,7 +38,7 @@ namespace
         }
 
         time_t thetime;
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         template <typename dpca_type>
         void test1()

dlib/test/ekm_and_lisf.cpp

@@ -37,7 +37,7 @@ namespace
         }
 
         time_t thetime;
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         template <typename T>
         void validate (

dlib/test/empirical_kernel_map.cpp

@@ -38,7 +38,7 @@ namespace
         }
 
         time_t thetime;
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         void test_projection_error()
         {

dlib/test/geometry.cpp

@@ -329,7 +329,7 @@ namespace
             std::vector< dlib::vector<double> > a;
 
             dlib::vector<double> v;
-            dlib::rand::float_1a rnd;
+            dlib::rand rnd;
 
             for (int i = 0; i < 10; ++i)
             {

dlib/test/image.cpp

@@ -449,7 +449,7 @@ namespace
     void test_integral_image (
     )
     {
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         array2d<unsigned char>::kernel_1a_c img;
         integral_image int_img;

dlib/test/linear_manifold_regularizer.cpp

@@ -37,7 +37,7 @@ namespace
             seed = 1;
         }
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         unsigned long seed;
 

dlib/test/matrix.cpp

@@ -734,7 +734,7 @@ namespace
             a.set_size(1000,10);
             b.set_size(1000,10);
             i.set_size(1000,10);
-            dlib::rand::float_1a rnd;
+            dlib::rand rnd;
             for (long r = 0; r < a.nr(); ++r)
             {
                 for (long c = 0; c < a.nc(); ++c)

dlib/test/matrix2.cpp

@@ -25,7 +25,7 @@ namespace
 
     logger dlog("test.matrix2");
 
-    dlib::rand::float_1a rnd;
+    dlib::rand rnd;
 
     void matrix_test (
     )

dlib/test/matrix3.cpp

@@ -87,7 +87,7 @@ namespace
     }
 
     template <typename type>
-    type rnd_num (dlib::rand::float_1a& rnd)
+    type rnd_num (dlib::rand& rnd)
     {
         return static_cast<type>(10*rnd.get_random_double());
     }
@@ -99,7 +99,7 @@ namespace
         // It does this by performing an assignment that is subject to BLAS bindings and comparing the
         // results directly to an unevaluated matrix_exp that should be equal.
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         matrix<type> a(rows,cols), temp, temp2, temp3;
 

dlib/test/matrix4.cpp

@@ -523,7 +523,7 @@ namespace
         }
 
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
         for (int i = 0; i < 1; ++i)
         {
             matrix<double> d1 = randm(4,1,rnd);

dlib/test/matrix_chol.cpp

@@ -24,7 +24,7 @@ namespace
 
     logger dlog("test.matrix_chol");
 
-    dlib::rand::float_1a rnd;
+    dlib::rand rnd;
 
 // ----------------------------------------------------------------------------------------
 

dlib/test/matrix_eig.cpp

@@ -24,7 +24,7 @@ namespace
 
     logger dlog("test.matrix_eig");
 
-    dlib::rand::float_1a rnd;
+    dlib::rand rnd;
 
 // ----------------------------------------------------------------------------------------
 

dlib/test/matrix_lu.cpp

@@ -24,7 +24,7 @@ namespace
 
     logger dlog("test.matrix_lu");
 
-    dlib::rand::float_1a rnd;
+    dlib::rand rnd;
 
 // ----------------------------------------------------------------------------------------
 

dlib/test/matrix_qr.cpp

@@ -24,7 +24,7 @@ namespace
 
     logger dlog("test.matrix_qr");
 
-    dlib::rand::float_1a rnd;
+    dlib::rand rnd;
 
 // ----------------------------------------------------------------------------------------
 

dlib/test/max_cost_assignment.cpp

@@ -98,7 +98,7 @@ namespace
                     "Runs tests on the max_cost_assignment function.")
         {}
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         template <typename T>
         void test_hungarian()

dlib/test/max_sum_submatrix.cpp

@@ -43,7 +43,7 @@ namespace
         const int num
     )
     {
-        static dlib::rand::kernel_1a rnd;
+        static dlib::rand rnd;
 
         matrix<int> mat, mask;
 

dlib/test/one_vs_all_trainer.cpp

@@ -44,7 +44,7 @@ namespace
 
             sample_type m;
 
-            dlib::rand::float_1a rnd;
+            dlib::rand rnd;
 
 
             // make some samples near the origin

dlib/test/one_vs_one_trainer.cpp

@@ -45,7 +45,7 @@ namespace
 
             sample_type m;
 
-            dlib::rand::float_1a rnd;
+            dlib::rand rnd;
 
 
             // make some samples near the origin

dlib/test/opt_qp_solver.cpp

@@ -93,7 +93,7 @@ namespace
         }
 
         time_t thetime;
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         void perform_test(
         )

dlib/test/optimization.cpp

@@ -857,7 +857,7 @@ namespace
 
         // test apq with a big vector
         p.set_size(500);
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
         for (long i = 0; i < p.size(); ++i)
         {
             p(i) = rnd.get_random_double()*20 - 10; 

dlib/test/rand.cpp

@@ -217,8 +217,8 @@ namespace
         )
         {
             dlog << LINFO << "testing kernel_1a";
-            rand_test<dlib::rand::kernel_1a>();
-            rand_test<dlib::rand::float_1a>();
+            rand_test<dlib::rand>();
+            rand_test<dlib::rand>();
         }
     } a;
 

dlib/test/sldf.cpp

@@ -36,7 +36,7 @@ namespace
         {
         }
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
 
         void perform_test (

dlib/test/statistics.cpp

@@ -133,7 +133,7 @@ namespace
         void test_running_covariance (
         )
         {
-            dlib::rand::float_1a rnd;
+            dlib::rand rnd;
             std::vector<matrix<double,0,1> > vects;
 
             running_covariance<matrix<double,0,1> > cov, cov2;

dlib/test/svm.cpp

@@ -58,7 +58,7 @@ namespace
 
         sample_type m;
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         print_spinner();
         // we will make 50 points from each class
@@ -549,7 +549,7 @@ namespace
         offset_kernel<sigmoid_kernel<sample_type> > k5;
         offset_kernel<radial_basis_kernel<sample_type> > k6;
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
         sample_type x, y;
         for (int i = 0; i < 10; ++i)

dlib/test/symmetric_matrix_cache.cpp

@@ -33,7 +33,7 @@ namespace
         {
         }
 
-        dlib::rand::float_1a rnd;
+        dlib::rand rnd;
 
     // -----------------------------------
 

dlib/test/trust_region.cpp

@@ -51,7 +51,7 @@ namespace
 
 // ----------------------------------------------------------------------------------------
 
-    dlib::rand::float_1a rnd;
+    dlib::rand rnd;
 
     template <typename T>
     void test_with_rosen()