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//use crate::common::validate_inputs;
use crate::common_simd::options::{validate_inputs, validate_options};
use crate::indicators::simd_indicators::road_train::{Asset, Driver, PrimeMover};
use crate::indicators::simd_indicators::stoch_simd::options::SimdState;
use crate::indicators::stoch::{
min_data, multiplier, output_length, IndicatorState, State, INPUTS_WIDTH, OPTIONS_WIDTH,
};
use crate::types::IndicatorError;
use std::simd::Simd;
/// SIMD driver for the Stochastic Oscillator (STOCH) indicator, processing `N` option-set lanes per scheduling epoch.
struct StochDriver {}
impl Driver<State, (usize, (f64, f64))> for StochDriver {
/// Processes one epoch of output bars for `N` option-set lanes simultaneously using SIMD.
fn next_run<const N: usize>(
&mut self,
inputs: Vec<Vec<&[f64]>>,
mut outputs: Vec<Vec<&mut [f64]>>,
mut states: Vec<&mut State>,
options: Vec<Option<&(usize, (f64, f64))>>,
) {
let len = outputs[0][0].len();
let (look_back, multipliers, mut i_simd) = {
let mut look_back = [0usize; N];
let mut i = [0usize; N];
let mut multipliers = ([0.0; N], [0.0; N]);
for (lane, option) in options.iter().enumerate() {
if let Some(&(k_period, multi)) = option {
i[lane] = k_period;
look_back[lane] = k_period - 1;
multipliers.0[lane] = multi.0;
multipliers.1[lane] = multi.1;
}
}
(
Simd::from_array(look_back),
(
Simd::from_array(multipliers.0),
Simd::from_array(multipliers.1),
),
Simd::from_array(i),
)
};
//collect outputs
let (k_line_ptr, d_line_ptr) =
crate::extract_output_ptrs!(outputs, N, k_line_ptr, d_line_ptr);
let (high_ptrs, low_ptrs, close_ptrs) =
crate::extract_input_ptrs!(inputs, N, high_ptrs, low_ptrs, close_ptrs);
let mut state = SimdState::new(&mut states);
//let look_back = self.period - 1;
let one_splat = Simd::splat(1);
//println!("start: {:?}, N: {:?}, LEN: {:?}", start, N, real.len());
for j in 0..len {
let close = crate::extract_simd_inputs_at_index_splat!(i_simd[0], N,
close @ close_ptrs
);
let (k, d) = unsafe {
state.calc_unchecked_simd(
high_ptrs,
low_ptrs,
close,
i_simd,
look_back,
multipliers,
)
};
// Store results using pre-computed pointers
crate::write_simd_at_indices!(N, j,
k_line_ptr => k,
d_line_ptr => d
);
i_simd += one_splat;
}
// Update states efficiently
state.write_states(&mut states);
}
}
/// Calculates the Stochastic Oscillator (STOCH) indicator for one asset with `N` different
/// option sets simultaneously using SIMD parallelism.
///
/// Applies each of the `N` `(k_period, k_slow, d_period)` configurations to the same shared
/// high/low/close series, computing %K and %D values for all option sets in a single
/// SIMD-accelerated pass via [`PrimeMover`].
///
/// # Arguments
/// * `inputs` - Shared inputs: `inputs[0]` = `high`, `inputs[1]` = `low`, `inputs[2]` = `close`.
/// * `options` - An array of `N` option sets; `options[i][0]` is `k_period`, `options[i][1]`
/// is `k_slow`, and `options[i][2]` is `d_period` for lane `i`.
/// * `_optional_outputs` - Unused; STOCH has no optional outputs.
///
/// # Returns
/// `Ok((outputs, states))` where `outputs[i][0]` is `stoch_k` and `outputs[i][1]` is `stoch_d`
/// for option set `i`, and `states[i]` is the final [`IndicatorState`] for option set `i`.
/// Returns `Err(IndicatorError)` if any input slice is too short or options are invalid.
pub fn indicator_by_options<const N: usize>(
inputs: &[&[f64]; INPUTS_WIDTH],
options: &[&[f64; OPTIONS_WIDTH]; N],
_optional_outputs: Option<&[bool]>,
) -> Result<(Vec<Vec<Vec<f64>>>, Vec<IndicatorState>), IndicatorError> {
validate_inputs::<OPTIONS_WIDTH>(inputs, options, min_data)?;
validate_options(options, None)?;
let mut road_train = PrimeMover::<N, State, (usize, (f64, f64))>::new();
let mut output_buffers = Vec::with_capacity(N);
let params: [(usize, (f64, f64)); N] = std::array::from_fn(|i| {
(
options[i][0] as usize,
multiplier(options[i][1] as usize, options[i][2] as usize),
)
});
for i in 0..N {
let asset_inputs = vec![
inputs[0], // high
inputs[1], // low
inputs[2], // close
];
let mut starts = [0; 2];
let (mut k_line, d_line, state, start);
{
let (k_capacity, d_capacity) = output_length(inputs[0].len(), options[i]);
k_line = crate::uninit_vec!(f64, k_capacity);
d_line = crate::uninit_vec!(f64, d_capacity);
let k_slow = options[i][1] as usize;
let d_period = options[i][2] as usize;
(state, starts[0], start) = State::init_state(
(inputs[0], inputs[1], inputs[2]),
params[i].0,
k_slow,
d_period,
&mut k_line,
);
}
let mut output_buffer = vec![k_line, d_line];
let mut asset_outputs = Vec::with_capacity(output_buffer.len());
for j in 0..output_buffer.len() {
unsafe {
//let slice_len = output_buffer.len() - starts[j];
// Get a mutable reference to the output buffer for this asset
let output_buffer = &mut output_buffer[j];
asset_outputs.push(std::slice::from_raw_parts_mut(
output_buffer.as_mut_ptr().add(starts[j]), //slice from
output_buffer.len(), // slice to
));
}
}
road_train.add_asset(Asset::new(
asset_inputs,
asset_outputs,
i,
start,
params[i].0,
state,
Some(¶ms[i]),
));
output_buffers.push(output_buffer);
}
let mut driver = StochDriver {};
let states_vec = road_train.drive(&mut driver);
let mut states = Vec::with_capacity(N);
for (i, state) in states_vec.into_iter().enumerate() {
states.push(IndicatorState::new(
state,
inputs[0],
inputs[1],
params[i].1, //multipliers
params[i].0, //k_period
));
}
Ok((output_buffers, states))
}