// Psychological Line
//
// psychological_line
//
// Psychological Line
//
// 
//
// Inputs:    4
// Outputs:   1
// Constants: 1


#include "ts.h"

typedef struct {
    uint_t k;
} ts_psychological_line_params_t;

ts_parameter_t const ts_psychological_line_p = { .n_inputs = 4, .n_outputs = 1, .n_constants = 1, .params_size = sizeof(ts_psychological_line_params_t) };

uint_t ts_psychological_line_offset( ts_constant_t const *c )
{
	( void )c;
	return ( c ? ((ts_psychological_line_params_t *)c)->k - 1 : 0 );
}

int ts_psychological_line(
	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_psychological_line_p );
	if ( !c ) return -1;
    uint_t k = ((ts_psychological_line_params_t *)c)->k;
    if (k == 0 || n < k) return -1;

    fp_t sum = 0;

    for( uint_t i = 0; i < k; ++i )
    {
        sum += ( ts_c( x, i ) > ts_o( x, i ) ) ? 100.0 : 0.0;
    }

    y[0][k - 1] = sum / (fp_t)k;

    for( uint_t i = k; i < n; ++i )
    {
        fp_t s = ( ts_c( x, i ) > ts_o( x, i ) ) ? 100.0 : 0.0;
        fp_t s_old = ( ts_c( x, i - k ) > ts_o( x, i - k ) ) ? 100.0 : 0.0;
        y[0][i] = y[0][i - 1] + ( s - s_old ) / (fp_t)k;
    }
	return 0;
}