From 07e18043145f3d91c8ea7ec3ad41b3c905585277 Mon Sep 17 00:00:00 2001
From: Ethan Werner <mail@ethanwerner.com>
Date: Wed, 1 Jul 2026 09:42:39 +0400
Subject: 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
---
 lib/poisson_pdf.c | 48 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)
 create mode 100644 lib/poisson_pdf.c

(limited to 'lib/poisson_pdf.c')

diff --git a/lib/poisson_pdf.c b/lib/poisson_pdf.c
new file mode 100644
index 0000000..e1e2d59
--- /dev/null
+++ b/lib/poisson_pdf.c
@@ -0,0 +1,48 @@
+// Poisson Pdf
+//
+// poisson_pdf
+//
+// Poisson probability density
+//
+// 
+//
+// Inputs:    1
+// Outputs:   1
+// Constants: 1
+
+
+#include <math.h>
+#include "ts.h"
+
+typedef struct {
+    fp_t lambda;
+} ts_poisson_pdf_params_t;
+
+ts_parameter_t const ts_poisson_pdf_p = { .n_inputs = 1, .n_outputs = 1, .n_constants = 1, .params_size = sizeof(ts_poisson_pdf_params_t) };
+
+uint_t ts_poisson_pdf_offset( ts_constant_t const *c )
+{
+	( void )c;
+	return ( 0 );
+}
+
+int ts_poisson_pdf(
+	fp_t * const *y, uint_t y_n,
+	fp_t const * const *x, uint_t x_n,
+	uint_t n, ts_constant_t const *c
+)
+{
+	TS_PROLOGUE( ts_poisson_pdf_p );
+	if ( !c ) return -1;
+	fp_t lambda = ((ts_poisson_pdf_params_t *)c)->lambda;
+	if (lambda < 0.0 || isnan(lambda) || isinf(lambda)) return -1;
+	for( uint_t i = 0; i < n; ++i )
+	{
+		fp_t k_val = x[0][i];
+		if( k_val < 0 ) { y[0][i] = 0; continue; }
+		uint_t k = (uint_t)k_val;
+		y[0][i] = pow( lambda, k ) * exp( -lambda ) / tgamma( k + 1.0 );
+	}
+	return 0;
+}
+
-- 
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