initial commit: ts time series analysis library v0.1.0

- 354 financial and mathematical time-series indicators
- Uniform C11 API with consistent function signatures
- 349 passing tests with -Werror
- Static and shared library builds
- pkg-config integration
- Python bindings
- Fuzzing and sanitizer support
- Security hardening flags

1 files changed, 25 insertions, 0 deletions

diff --git a/test/cv.c b/test/cv.c
new file mode 100644
index 0000000..2c41604
--- /dev/null
+++ b/test/cv.c
@@ -0,0 +1,25 @@
+#include <stddef.h>
+#include "ts.h"
+
+bool ts_test_cv( void )
+{
+    fp_t const o[] = { 10, 11, 12, 11, 12, 13, 14, 13, 14, 15, 14 };
+    fp_t const h[] = { 12, 13, 14, 12, 14, 15, 16, 14, 16, 17, 16 };
+    fp_t const l[] = { 8,  9,  10,  9,  10, 11, 12, 11, 12, 13, 12 };
+    fp_t const c[] = { 11, 12, 10, 11, 11, 14, 15, 13, 15, 16, 15 };
+    fp_t const v[] = { 100, 200, 300, 400, 500, 150, 250, 350, 450, 550, 650 };
+
+    fp_t const * const x[] = { o, h, l, c, v };
+
+    fp_t fast = 3;
+    fp_t slow = 5;
+
+
+    fp_t e[] = { -0.020148, 0.003635, -0.117257, -0.040582, 0.003017, 0.026068 };
+
+    fp_t const * const e_arr[1] = { e };
+
+    fp_t constants[2] = { fast, slow };
+
+    return ts_test(ts_cv, ts_cv_offset, x, e_arr, 11, (ts_constant_t *)constants, &ts_cv_p);
+}