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, 15 insertions, 0 deletions

diff --git a/test/kaufman_adaptive_ma.c b/test/kaufman_adaptive_ma.c
new file mode 100644
index 0000000..2709a3a
--- /dev/null
+++ b/test/kaufman_adaptive_ma.c
@@ -0,0 +1,15 @@
+#include <stddef.h>
+#include "ts.h"
+
+bool ts_test_kaufman_adaptive_ma( void )
+{
+	fp_t const x0[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 };
+
+	fp_t const * const x[] = { x0 };
+
+	fp_t const e[] = { 2.90983006, 4.47213595, 5.81966011, 7.03444185, 8.16718427, 9.24922359, 10.29992669 };
+	fp_t const * const exp[] = { e };
+
+	uint_t c = 5;
+	return ts_test(ts_kaufman_adaptive_ma, ts_kaufman_adaptive_ma_offset, x, exp, sizeof( x0 ) / sizeof( *x0 ), (ts_constant_t *)&c, &ts_kaufman_adaptive_ma_p);
+}