Changeset 1064 for library/tests/testsuite/arx_straux_test.cpp

Timestamp:

06/09/10 14:00:40 (14 years ago)

Author:

mido

Message:

astyle applied all over the library

Files:

• library/tests/testsuite/arx_straux_test.cpp (modified) (1 diff)

library/tests/testsuite/arx_straux_test.cpp

@@ -6 +6 @@
 TEST ( arx_straux_test ) {
 
-        UIFile F ( "arx_straux_test.cfg" );
+    UIFile F ( "arx_straux_test.cfg" );
 
-        Setting &tests = F.getRoot() ["tests"];
-        for ( int i = 0; i < tests.getLength(); i++ ) {
-                mat A;
-                mat B;
-                ivec o1_ok;
-                UI::get ( A, tests[i], "A", UI::compulsory );
-                UI::get ( B, tests[i], "B", UI::compulsory );
-                UI::get ( o1_ok, tests[i], "o1", UI::compulsory );
+    Setting &tests = F.getRoot() ["tests"];
+    for ( int i = 0; i < tests.getLength(); i++ ) {
+        mat A;
+        mat B;
+        ivec o1_ok;
+        UI::get ( A, tests[i], "A", UI::compulsory );
+        UI::get ( B, tests[i], "B", UI::compulsory );
+        UI::get ( o1_ok, tests[i], "o1", UI::compulsory );
 
 //when updateing matrices do not forget to update CHECK_EQUAL below!!!
 
-                ldmat Ld0 ( 3 );
-                Ld0.ldform ( A, ones ( A.rows() ) );
-                ldmat Ld1 ( 3 );
-                Ld1.ldform ( A + B, ones ( A.rows() ) );
+        ldmat Ld0 ( 3 );
+        Ld0.ldform ( A, ones ( A.rows() ) );
+        ldmat Ld1 ( 3 );
+        Ld1.ldform ( A + B, ones ( A.rows() ) );
 
 
-                ivec belief = vec_1 ( 2 );        // default belief
-                int nbest = 3;           // nbest: how many regressors are returned
-                int nrep = 5;         // nrep: number of random repetions of structure estimation
-                double lambda   = 0.9;
-                int k = 2;
+        ivec belief = vec_1 ( 2 );        // default belief
+        int nbest = 3;           // nbest: how many regressors are returned
+        int nrep = 5;         // nrep: number of random repetions of structure estimation
+        double lambda   = 0.9;
+        int k = 2;
 
 //[strout, rgrsout, statistics] =
 //          straux1(L, d, nu, L0, d0, nu0, belief, nbest, max_nrep, lambda,
 //          order_k);
-                Array<str_aux> o2;
-                ivec o1 = straux1 ( Ld1, 20, Ld0, 10,  belief, nbest, nrep, lambda, k, o2 );
+        Array<str_aux> o2;
+        ivec o1 = straux1 ( Ld1, 20, Ld0, 10,  belief, nbest, nrep, lambda, k, o2 );
 
 //o1 is messed up in matlab's straux
-                sort ( o1_ok );
-                sort ( o1 );
-                CHECK_EQUAL ( o1_ok, o1 );
-        }
+        sort ( o1_ok );
+        sort ( o1 );
+        CHECK_EQUAL ( o1_ok, o1 );
+    }
 
 }