// Cauchy PDF
//
// cauchy_pdf - Cauchy probability density
//
// f(x) = 1 / (PI * (1 + x^2))
//
// Inputs:    1
// Outputs:   1 (PDF value)
// Constants: 0

#include <math.h>
#include "ts.h"


ts_parameter_t const ts_cauchy_pdf_p = { .n_inputs = 1, .n_outputs = 1, .n_constants = 0, .params_size = 0 };

uint_t ts_cauchy_pdf_offset( ts_constant_t const *c )
{
	( void )c;
	return ( 0 );
}

int ts_cauchy_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_cauchy_pdf_p );
	(void)c;
	for( uint_t i = 0; i < n; ++i )
	{
		y[0][i] = 1.0 / ( PI * ( 1.0 + x[0][i] * x[0][i] ) );
	}
	return 0;
}