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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::stddev_simd::SimdState;
use crate::indicators::stddev::{
min_data, multiplier, output_length, IndicatorState, State, INPUTS_WIDTH, OPTIONS_WIDTH,
};
use crate::types::IndicatorError;
use std::simd::Simd;
/// SIMD driver for the Standard Deviation (STDDEV) indicator, processing `N` option-set lanes per scheduling epoch.
struct StddevDriver {
want_optional_outputs: bool,
}
impl Driver<State, (usize, f64)> for StddevDriver {
/// 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)>>,
) {
let len = outputs[0][0].len();
// Optimization 1: Direct array construction instead of collect+try_into
let mut state = SimdState::new(&states);
let (mut i, multiplier_simd) = {
let mut multipliers = [0.0; N];
let mut i = [0usize; N];
for (lane, option) in options.iter().enumerate() {
if let Some(&(period, multiplier)) = option {
i[lane] = period;
multipliers[lane] = multiplier;
}
}
(i, Simd::from_array(multipliers))
};
// Optimization 2: Pre-compute all input and output pointers
let input_ptrs = crate::extract_input_ptrs!(inputs, N, input_ptrs);
let (stddev_line_ptr, sma_line_ptr) =
crate::extract_output_ptrs!(outputs, N, stddev_line_ptr, sma_line_ptr);
// Optimization 3: Simplified main loop with pre-computed offsets
for j in 0..len {
// Get new and old values using pre-computed pointers
let old_vals = crate::extract_simd_inputs_at_index!(j, N,
old @ input_ptrs
);
let new_vals = crate::extract_simd_inputs_at_index_array!(i, N,
new @ input_ptrs
);
let (stddev, sma) = state.calc_simd(new_vals, old_vals, multiplier_simd);
// Store results using pre-computed pointers
crate::write_simd_at_indices!(N, j,
stddev_line_ptr => stddev
);
crate::store_simd_optional_outputs!(j, N,
self.want_optional_outputs, sma_line_ptr => sma
);
for i in i.iter_mut() {
*i += 1;
}
}
state.write_states(&mut states);
}
}
/// Calculates the Standard Deviation (STDDEV) indicator for one asset with `N` different
/// option sets simultaneously using SIMD parallelism.
///
/// Applies each of the `N` period configurations to the same shared input series, computing
/// standard deviation values for all option sets in a single SIMD-accelerated pass via
/// [`PrimeMover`].
///
/// # Arguments
/// * `inputs` - Shared input: `inputs[0]` is the `real` price series.
/// * `options` - An array of `N` option sets; `options[i][0]` is the `period` for lane `i`.
/// * `optional_outputs` - Optional slice of booleans enabling extra outputs per lane:
/// `[0]` → `sma`.
///
/// # Returns
/// `Ok((outputs, states))` where `outputs[i][0]` is `stddev` and `outputs[i][1]` is `sma`
/// (empty if not requested) 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], //stock[ fields [ field [f64] ] ]
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 params: [(usize, f64); N] =
std::array::from_fn(|i| (options[i][0] as usize, multiplier(options[i][0] as usize)));
let mut road_train = PrimeMover::<N, State, (usize, f64)>::new();
let mut output_buffers = Vec::with_capacity(N);
let mut want_optional_outputs = false;
for (i, &(period, _)) in params.iter().enumerate() {
let asset_inputs = vec![
inputs[0], // real
];
let (stddev_line, sma_line) = {
let capacity = output_length(inputs[0].len(), options[i]);
(
crate::uninit_vec!(f64, capacity),
crate::init_optional_outputs_eff!(
optional_outputs, &[false],
sma_line: capacity
),
)
};
let state = State::init_state(inputs[0], period);
if i == 0 {
(_, want_optional_outputs) = crate::calc_want_flags!(sma_line);
}
let mut output_buffer = vec![stddev_line, sma_line];
//let adosc_len = output_buffer[0].len();
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(0), //slice from
output_buffer.len(), // slice to
));
}
}
road_train.add_asset(Asset::new(
asset_inputs,
asset_outputs,
i,
period,
period,
state,
Some(¶ms[i]),
));
output_buffers.push(output_buffer);
}
let mut driver = StddevDriver {
want_optional_outputs,
};
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(
inputs[0],
state,
params[i].1,
params[i].0,
));
}
Ok((output_buffers, states))
}