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-rw-r--r--2.3-1/src/c/statisticsFunctions/mean/testFloatMean.c481
1 files changed, 481 insertions, 0 deletions
diff --git a/2.3-1/src/c/statisticsFunctions/mean/testFloatMean.c b/2.3-1/src/c/statisticsFunctions/mean/testFloatMean.c
new file mode 100644
index 00000000..e5c6d9d8
--- /dev/null
+++ b/2.3-1/src/c/statisticsFunctions/mean/testFloatMean.c
@@ -0,0 +1,481 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution. The terms
+ * are also available at
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "mean.h"
+
+/* #define LOCAL_DEBUG */
+
+static int smeansTest(void) {
+ float value1 = 3.0f;
+ float value2 = 1.123456789f;
+
+ printf("\n>>>> Mean Float Scalar Test\n");
+ assert(smeans(value1) == 3.0f);
+ assert(smeans(value2) == 1.123456789f);
+
+ return 0;
+}
+
+static int smeanaTest(void) {
+ float table1[3] = {3.0f, 3.0f, 3.0f};
+ float table2[5] = {9.186784563f,
+ 9.186784563f,
+ 9.186784563f,
+ 9.186784563f,
+ 9.186784563f};
+
+ printf("\n>>>> Mean Float Array Test\n");
+ assert(smeana(table1, 3) == 9.0f / 3.0f);
+ assert((smeana(table2, 5) - (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f) / smeana(table2, 5) < 1e-6);
+ return 0;
+}
+
+static int scolumnmeanaTest(void) {
+ int i = 0;
+ float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+ float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+ float columnMeanmedTable1_3_3[3] = {0};
+ float columnMeanmedTable1_1_9[1] = {0};
+ float columnMeanmedTable1_9_1[9] = {0};
+ float columnMeanmedTable2_2_5[2] = {0};
+ float columnMeanmedTable2_5_2[5] = {0};
+
+ printf("\n>>>> Column Mean Float Array Test\n");
+ /*
+ [ 1 2 3 ]
+ [ 4 5 6 ] => [ 6 15 24 ]
+ [ 7 8 9 ]
+ */
+ scolumnmeana(table1, 3, 3,columnMeanmedTable1_3_3);
+ assert(columnMeanmedTable1_3_3[0] == 6.0f / 3.0f);
+ assert(columnMeanmedTable1_3_3[1] == 15.0f / 3.0f);
+ assert(columnMeanmedTable1_3_3[2] == 24.0f / 3.0f);
+
+ /*
+ [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+ */
+ scolumnmeana(table1, 1, 9,columnMeanmedTable1_1_9);
+ assert(columnMeanmedTable1_1_9[0] == 45.0f / 9.0f);
+
+ /*
+ [ 1 ]
+ [ 2 ]
+ [ 3 ]
+ [ 4 ]
+ [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ]
+ [ 6 ]
+ [ 7 ]
+ [ 8 ]
+ [ 9 ]
+ */
+ scolumnmeana(table1, 9, 1,columnMeanmedTable1_9_1);
+ for ( i = 0 ; i < 9 ; ++i) {
+ printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+ assert(columnMeanmedTable1_9_1[i] == table1[i]);
+ }
+
+ /*
+ [ 1 3 5 7 9 ]
+ [ 2 4 6 8 10 ] => [ 25 30 ]
+ */
+ scolumnmeana(table2, 2, 5,columnMeanmedTable2_2_5);
+ assert(columnMeanmedTable2_2_5[0] == 25.0f / 5.0f);
+ assert(columnMeanmedTable2_2_5[1] == 30.0f / 5.0f);
+ for ( i = 0 ; i < 2 ; ++i) {
+ printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+ }
+
+ /*
+ [ 1 6 ]
+ [ 2 7 ] => [ 7 9 11 13 15 ]
+ [ 3 8 ]
+ [ 4 9 ]
+ [ 5 10 ]
+ */
+ scolumnmeana(table2, 5, 2,columnMeanmedTable2_5_2);
+ assert(columnMeanmedTable2_5_2[0] == 7.0f / 2.0f);
+ assert(columnMeanmedTable2_5_2[1] == 9.0f / 2.0f);
+ assert(columnMeanmedTable2_5_2[2] == 11.0f / 2.0f);
+ assert(columnMeanmedTable2_5_2[3] == 13.0f / 2.0f);
+ assert(columnMeanmedTable2_5_2[4] == 15.0f / 2.0f);
+ for ( i = 0 ; i < 5 ; ++i) {
+ printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+ }
+
+ return 0;
+}
+
+static int srowmeanaTest(void) {
+ int i = 0;
+ float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+ float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+ float rowMeanmedTable1_3_3[3] = {0};
+ float rowMeanmedTable1_1_9[9] = {0};
+ float rowMeanmedTable1_9_1[1] = {0};
+ float rowMeanmedTable2_2_5[5] = {0};
+ float rowMeanmedTable2_5_2[2] = {0};
+
+ printf("\n>>>> Row Mean Float Array Test\n");
+ /*
+ [ 1 2 3 ]
+ [ 4 5 6 ] => [ 12 15 18 ]
+ [ 7 8 9 ]
+ */
+ srowmeana(table1, 3, 3,rowMeanmedTable1_3_3);
+ for ( i = 0 ; i < 3 ; ++i) {
+ printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+ }
+ assert(rowMeanmedTable1_3_3[0] == 12.0f / 3.0f);
+ assert(rowMeanmedTable1_3_3[1] == 15.0f / 3.0f);
+ assert(rowMeanmedTable1_3_3[2] == 18.0f / 3.0f);
+
+ /*
+ [ 1 ]
+ [ 2 ]
+ [ 3 ]
+ [ 4 ]
+ [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ]
+ [ 6 ]
+ [ 7 ]
+ [ 8 ]
+ [ 9 ]
+ */
+ srowmeana(table1, 1, 9,rowMeanmedTable1_1_9);
+ for ( i = 0 ; i < 9 ; ++i) {
+ printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+ assert(rowMeanmedTable1_1_9[i] == table1[i]);
+ }
+
+ /*
+ [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+ */
+ srowmeana(table1, 9, 1,rowMeanmedTable1_9_1);
+ assert(rowMeanmedTable1_9_1[0] == 45.0f / 9.0f);
+
+ /*
+ [ 1 3 5 7 9 ]
+ [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ]
+ */
+ srowmeana(table2, 2, 5,rowMeanmedTable2_2_5);
+ assert(rowMeanmedTable2_2_5[0] == 3.0f / 2.0f);
+ assert(rowMeanmedTable2_2_5[1] == 7.0f / 2.0f);
+ assert(rowMeanmedTable2_2_5[2] == 11.0f / 2.0f);
+ assert(rowMeanmedTable2_2_5[3] == 15.0f / 2.0f);
+ assert(rowMeanmedTable2_2_5[4] == 19.0f / 2.0f);
+ for ( i = 0 ; i < 5 ; ++i) {
+ printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+ }
+
+ /*
+ [ 1 6 ]
+ [ 2 7 ] => [ 15 40 ]
+ [ 3 8 ]
+ [ 4 9 ]
+ [ 5 10 ]
+ */
+ srowmeana(table2, 5, 2,rowMeanmedTable2_5_2);
+ assert(rowMeanmedTable2_5_2[0] == 15.0f / 5.0f);
+ assert(rowMeanmedTable2_5_2[1] == 40.0f / 5.0f);
+ for ( i = 0 ; i < 2 ; ++i) {
+ printf("rowMeanmedTable2_5_2[%d] = %e\n", i, rowMeanmedTable2_5_2[i]);
+ }
+
+ return 0;
+}
+
+static int cmeansTest(void) {
+ floatComplex value1 = FloatComplex(3.0f, 3.0f);
+ floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f);
+
+ printf("\n>>>> Mean Float Complex Scalar Test\n");
+ assert(creals(cmeans(value1)) == 3.0f);
+ assert(cimags(cmeans(value1)) == 3.0f);
+ assert(creals(cmeans(value2)) == 1.123456789f);
+ assert(cimags(cmeans(value2)) == 1.123456789f);
+ return 0;
+}
+
+static int cmeanaTest(void) {
+ floatComplex value1 = FloatComplex(3.0f, 3.0f);
+ floatComplex table1[3];
+ floatComplex value2 = FloatComplex(9.186784563f,9.186784563f);
+ floatComplex table2[5];
+
+ printf("\n>>>> Mean Float Complex Array Test\n");
+ table1[0] = value1;
+ table1[1] = value1;
+ table1[2] = value1;
+
+ table2[0] = value2;
+ table2[1] = value2;
+ table2[2] = value2;
+ table2[3] = value2;
+ table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+ printf("--------\n");
+ printf("%e\n", cimags(cmeana(table1, 3)));
+ printf("%e\n", creals(cmeana(table2, 5)));
+ printf("%e\n", cimags(cmeana(table2, 5)));
+ printf("%e\n", creals(cmeana(table2, 5)));
+ printf("%e\n", cimags(cmeana(table2, 5)));
+ printf("--------\n");
+#endif
+ assert(creals(cmeana(table1, 3)) == 9.0f / 3.0f);
+ assert(cimags(cmeana(table1, 3)) == 9.0f / 3.0f);
+ assert(creals(cmeana(table2, 5)) == (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f);
+ assert(cimags(cmeana(table2, 5)) == (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f);
+
+ return 0;
+}
+
+static int crowmeanaTest(void) {
+ int i = 0;
+ floatComplex in[12];
+ floatComplex rowMeanmedIn_4_3[3];
+ floatComplex rowMeanmedIn_3_4[4];
+ floatComplex rowMeanmedIn_6_2[2];
+ floatComplex rowMeanmedIn_2_6[6];
+ floatComplex rowMeanmedIn_1_12[12];
+ floatComplex rowMeanmedIn_12_1[1];
+
+ printf("\n>>>> Row Mean Float Complex Array Test\n");
+ /* Init input var */
+ for (i = 0 ; i < 12 ; ++i)
+ {
+ in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+ }
+
+ /*
+ [ 1.1i 0.4+0.7i 0.8+0.3i ]
+ [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ]
+ [ 0.2+0.9i 0.6+0.5i 1+0.1i ]
+ [ 0.3+0.8i 0.7+0.4i 1.1 ]
+ */
+ crowmeana(in, 4, 3, rowMeanmedIn_4_3);
+ for (i = 0 ; i < 3 ; ++i) {
+ printf("rowMeanmedIn_4_3[%d] = %e + %ei\n", i, creals(rowMeanmedIn_4_3[i]), cimags(rowMeanmedIn_4_3[i]));
+ }
+ assert(creals(rowMeanmedIn_4_3[0]) == 0.6f / 4.0f && cimags(rowMeanmedIn_4_3[0]) == 3.8f / 4.0f);
+ assert(creals(rowMeanmedIn_4_3[1]) == 2.2f / 4.0f && cimags(rowMeanmedIn_4_3[1]) == 2.2f / 4.0f);
+ assert(fabs(creals(rowMeanmedIn_4_3[2]) - 3.8f / 4.0f) < 1e-06);
+ assert(cimags(rowMeanmedIn_4_3[2]) == 0.6f / 4.0f);
+
+ /*
+ [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ]
+ [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i]
+ [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ]
+ */
+ crowmeana(in, 3, 4, rowMeanmedIn_3_4);
+ for (i = 0 ; i < 4 ; ++i) {
+ printf("rowMeanmedIn_3_4[%d] = %e + %ei\n", i, creals(rowMeanmedIn_3_4[i]), cimags(rowMeanmedIn_3_4[i]));
+ }
+ assert(creals(rowMeanmedIn_3_4[0]) == 0.3f / 3.0f && cimags(rowMeanmedIn_3_4[0]) == 3.0f / 3.0f);
+ assert(creals(rowMeanmedIn_3_4[1]) == 1.2f / 3.0f && cimags(rowMeanmedIn_3_4[1]) == 2.1f / 3.0f);
+ assert(creals(rowMeanmedIn_3_4[2]) == 2.1f / 3.0f && cimags(rowMeanmedIn_3_4[2]) == 1.2f / 3.0f);
+ assert(creals(rowMeanmedIn_3_4[3]) == 3.0f / 3.0f && cimags(rowMeanmedIn_3_4[3]) == 0.3f / 3.0f);
+
+ /*
+ [ 1.1i 0.6+0.5i ]
+ [ 0.1+i 0.7+0.4i ]
+ [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ]
+ [ 0.3+0.8i 0.9+0.2i ]
+ [ 0.4+0.7i 1+0.1i ]
+ [ 0.5+0.6i 1.1 ]
+ */
+ crowmeana(in, 6, 2, rowMeanmedIn_6_2);
+ for (i = 0 ; i < 2 ; ++i) {
+ printf("rowMeanmedIn_6_2[%d] = %e + %ei\n", i, creals(rowMeanmedIn_6_2[i]), cimags(rowMeanmedIn_6_2[i]));
+ }
+ assert(creals(rowMeanmedIn_6_2[0]) == 1.5f / 6.0f && cimags(rowMeanmedIn_6_2[0]) == 5.1f / 6.0f);
+ assert(creals(rowMeanmedIn_6_2[1]) == 5.1f / 6.0f);
+ assert(fabs(cimags(rowMeanmedIn_6_2[1]) - 1.5f / 6.0f) < 1e-06);
+
+ /*
+ [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+ [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ]
+ */
+ crowmeana(in, 2, 6, rowMeanmedIn_2_6);
+ for (i = 0 ; i < 6 ; ++i) {
+ printf("rowMeanmedIn_2_6[%d] = %e + %ei\n", i, creals(rowMeanmedIn_2_6[i]), cimags(rowMeanmedIn_2_6[i]));
+ }
+ assert(creals(rowMeanmedIn_2_6[0]) == 0.1f / 2.0f && cimags(rowMeanmedIn_2_6[0]) == 2.1f / 2.0f);
+ assert(creals(rowMeanmedIn_2_6[1]) == 0.5f / 2.0f && cimags(rowMeanmedIn_2_6[1]) == 1.7f / 2.0f);
+ assert(creals(rowMeanmedIn_2_6[2]) == 0.9f / 2.0f && cimags(rowMeanmedIn_2_6[2]) == 1.3f / 2.0f);
+ assert(creals(rowMeanmedIn_2_6[3]) == 1.3f / 2.0f && cimags(rowMeanmedIn_2_6[3]) == 0.9f / 2.0f);
+ assert(creals(rowMeanmedIn_2_6[4]) == 1.7f / 2.0f && cimags(rowMeanmedIn_2_6[4]) == 0.5f / 2.0f);
+ assert(creals(rowMeanmedIn_2_6[5]) == 2.1f / 2.0f && cimags(rowMeanmedIn_2_6[5]) == 0.1f / 2.0f);
+
+ /*
+ [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+ =>
+ [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+ */
+ crowmeana(in, 1, 12, rowMeanmedIn_1_12);
+ for (i = 0 ; i < 12 ; ++i) {
+ printf("rowMeanmedIn_1_12[%d] = %e + %ei\n", i, creals(rowMeanmedIn_1_12[i]), cimags(rowMeanmedIn_1_12[i]));
+ assert(creals(rowMeanmedIn_1_12[i]) == creals(in[i]) && cimags(rowMeanmedIn_1_12[i]) == cimags(in[i]));
+ }
+
+ /*
+ [ 1.1i ]
+ [ 0.1+i ]
+ [ 0.2+0.9i ]
+ [ 0.3+0.8i ]
+ [ 0.4+0.7i ]
+ [ 0.5+0.6i ]
+ [ 0.6+0.5i ] => [ 6.6+6.6i ]
+ [ 0.7+0.4i ]
+ [ 0.8+0.3i ]
+ [ 0.9+0.2i ]
+ [ 1+0.1i ]
+ [ 1.1 ]
+ */
+ crowmeana(in, 12, 1, rowMeanmedIn_12_1);
+ printf("rowMeanmedIn_12_1[%d] = %e + %ei\n", 0, creals(rowMeanmedIn_12_1[0]), cimags(rowMeanmedIn_12_1[0]));
+ assert(creals(rowMeanmedIn_12_1[0]) == 6.6f / 12.0f && cimags(rowMeanmedIn_12_1[0]) == 6.6f / 12.0f);
+
+ return 0;
+}
+
+static int ccolumnmeanaTest(void) {
+ int i = 0;
+ floatComplex in[12];
+ floatComplex columnMeanmedIn_4_3[4];
+ floatComplex columnMeanmedIn_3_4[3];
+ floatComplex columnMeanmedIn_6_2[6];
+ floatComplex columnMeanmedIn_2_6[2];
+ floatComplex columnMeanmedIn_1_12[1];
+ floatComplex columnMeanmedIn_12_1[12];
+
+ printf("\n>>>> ColumnMean Float Complex Array Test\n");
+ /* Init input var */
+ for (i = 0 ; i < 12 ; ++i)
+ {
+ in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+ }
+
+ /*
+ [ 1.1i 0.4+0.7i 0.8+0.3i ]
+ [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ]
+ [ 0.2+0.9i 0.6+0.5i 1+0.1i ]
+ [ 0.3+0.8i 0.7+0.4i 1.1 ]
+ */
+ ccolumnmeana(in, 4, 3, columnMeanmedIn_4_3);
+ for (i = 0 ; i < 4 ; ++i) {
+ printf("columnMeanmedIn_4_3[%d] = %e + %ei\n", i, creals(columnMeanmedIn_4_3[i]), cimags(columnMeanmedIn_4_3[i]));
+ }
+ assert(creals(columnMeanmedIn_4_3[0]) == 1.2f / 3.0f && cimags(columnMeanmedIn_4_3[0]) == 2.1f / 3.0f);
+ assert(creals(columnMeanmedIn_4_3[1]) == 1.5f / 3.0f);
+ assert(fabs(cimags(columnMeanmedIn_4_3[1]) - 1.8f / 3.0f) < 1e-06);
+ assert(creals(columnMeanmedIn_4_3[2]) == 1.8f / 3.0f && cimags(columnMeanmedIn_4_3[2]) == 1.5f / 3.0f);
+ assert(creals(columnMeanmedIn_4_3[3]) == 2.1f / 3.0f && cimags(columnMeanmedIn_4_3[3]) == 1.2f / 3.0f);
+
+ /*
+ [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ]
+ [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ]
+ [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ]
+ */
+ ccolumnmeana(in, 3, 4, columnMeanmedIn_3_4);
+ for (i = 0 ; i < 3 ; ++i) {
+ printf("columnMeanmedIn_3_4[%d] = %e + %ei\n", i, creals(columnMeanmedIn_3_4[i]), cimags(columnMeanmedIn_3_4[i]));
+ }
+ assert(creals(columnMeanmedIn_3_4[0]) == 1.8f / 4.0f);
+ assert(fabs(cimags(columnMeanmedIn_3_4[0]) - 2.6f / 4.0f) < 1e-06);
+ assert(creals(columnMeanmedIn_3_4[1]) == 2.2f / 4.0f && cimags(columnMeanmedIn_3_4[1]) == 2.2f / 4.0f);
+ assert(creals(columnMeanmedIn_3_4[2]) == 2.6f / 4.0f && cimags(columnMeanmedIn_3_4[2]) == 1.8f / 4.0f);
+
+ /*
+ [ 1.1i 0.6+0.5i ]
+ [ 0.1+i 0.7+0.4i ]
+ [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ]
+ [ 0.3+0.8i 0.9+0.2i ]
+ [ 0.4+0.7i 1+0.1i ]
+ [ 0.5+0.6i 1.1 ]
+ */
+ ccolumnmeana(in, 6, 2, columnMeanmedIn_6_2);
+ for (i = 0 ; i < 6 ; ++i) {
+ printf("columnMeanmedIn_6_2[%d] = %e + %ei\n", i, creals(columnMeanmedIn_6_2[i]), cimags(columnMeanmedIn_6_2[i]));
+ }
+ assert(creals(columnMeanmedIn_6_2[0]) == 0.6f / 2.0f && cimags(columnMeanmedIn_6_2[0]) == 1.6f / 2.0f);
+ assert(creals(columnMeanmedIn_6_2[1]) == 0.8f / 2.0f && cimags(columnMeanmedIn_6_2[1]) == 1.4f / 2.0f);
+ assert(creals(columnMeanmedIn_6_2[2]) == 1.0f / 2.0f && cimags(columnMeanmedIn_6_2[2]) == 1.2f / 2.0f);
+ assert(creals(columnMeanmedIn_6_2[3]) == 1.2f / 2.0f && cimags(columnMeanmedIn_6_2[3]) == 1.0f / 2.0f);
+ assert(creals(columnMeanmedIn_6_2[4]) == 1.4f / 2.0f && cimags(columnMeanmedIn_6_2[4]) == 0.8f / 2.0f);
+ assert(creals(columnMeanmedIn_6_2[5]) == 1.6f / 2.0f && cimags(columnMeanmedIn_6_2[5]) == 0.6f / 2.0f);
+
+ /*
+ [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+ [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 3+3.6i 3.6+3i ]
+ */
+ ccolumnmeana(in, 2, 6, columnMeanmedIn_2_6);
+ for (i = 0 ; i < 2 ; ++i) {
+ printf("columnMeanmedIn_2_6[%d] = %e + %ei\n", i, creals(columnMeanmedIn_2_6[i]), cimags(columnMeanmedIn_2_6[i]));
+ }
+ assert(creals(columnMeanmedIn_2_6[0]) == 3.0f / 6.0f && cimags(columnMeanmedIn_2_6[0]) == 3.6f / 6.0f);
+ assert(creals(columnMeanmedIn_2_6[1]) == 3.6f / 6.0f);
+ assert(fabs(cimags(columnMeanmedIn_2_6[1]) -3.0f / 6.0f) < 1e-06);
+
+ /*
+ [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+ =>
+ [ 6.6+6.6i ]
+ */
+ ccolumnmeana(in, 1, 12, columnMeanmedIn_1_12);
+ printf("columnMeanmedIn_1_12[%d] = %e + %ei\n", 0, creals(columnMeanmedIn_1_12[0]), cimags(columnMeanmedIn_1_12[0]));
+ assert(creals(columnMeanmedIn_1_12[0]) == 6.6f / 12.0f && cimags(columnMeanmedIn_1_12[0]) == 6.6f / 12.0f);
+
+
+ /*
+ [ 1.1i ]
+ [ 0.1+i ]
+ [ 0.2+0.9i ]
+ [ 0.3+0.8i ]
+ [ 0.4+0.7i ]
+ [ 0.5+0.6i ]
+ [ 0.6+0.5i ] => [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+ [ 0.7+0.4i ]
+ [ 0.8+0.3i ]
+ [ 0.9+0.2i ]
+ [ 1+0.1i ]
+ [ 1.1 ]
+ */
+ ccolumnmeana(in, 12, 1, columnMeanmedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+ printf("columnMeanmedIn_12_1[%d] = %e + %ei\n", i, creals(columnMeanmedIn_12_1[i]), cimags(columnMeanmedIn_12_1[i]));
+ assert(creals(columnMeanmedIn_12_1[i]) == creals(in[i]) && cimags(columnMeanmedIn_12_1[i]) == cimags(in[i]));
+ }
+
+ return 0;
+}
+
+static int testMean(void) {
+
+ smeansTest();
+ smeanaTest();
+ srowmeanaTest();
+ scolumnmeanaTest();
+ cmeansTest();
+ cmeanaTest();
+ crowmeanaTest();
+ ccolumnmeanaTest();
+
+ return 0;
+}
+
+int main(void) {
+ assert(testMean() == 0);
+ return 0;
+}
generated by cgit (git 2.34.1) at 2024-12-20 11:02:40 +0000