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// 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;
}
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