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//use crate::common::validate_inputs;
use crate::common::validate_options;
use crate::common_simd::assets::validate_inputs;
use crate::indicators::donchianchannel::{
min_data, output_length, IndicatorState, State, INPUTS_WIDTH, OPTIONS_WIDTH,
};
use crate::indicators::simd_indicators::donchianchannel_simd::{assets::Calc, SimdState};
use crate::indicators::simd_indicators::road_train::{Asset, Driver, PrimeMover};
use crate::types::IndicatorError;
/// SIMD driver that advances the Donchian Channel indicator across `N` asset lanes per scheduling
/// epoch.
struct DonchianChannelDriver {
look_back: usize,
}
impl Driver<State> for DonchianChannelDriver {
/// Processes one epoch of bars for `N` assets simultaneously using SIMD.
///
/// Reads from `inputs[asset][field]` (high, low), writes to `outputs[asset][output]`,
/// and updates `states[asset]` in place.
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<&()>>,
) {
let data_len = inputs[0][0].len();
//collect outputs
let outputs = crate::extract_output_ptrs!(outputs, N, lower_ptr, middle_ptr, upper_ptr);
let inputs = crate::extract_input_ptrs!(inputs, N, high_ptrs, low_ptrs);
let mut state = SimdState::new(&mut states);
match self.look_back {
1..=20 => {
self.cycle::<N, 1>(inputs, outputs, data_len, &mut state);
}
/*6..=50 => {
self.cycle::<N, 4>(inputs, outputs, data_len, &mut state);
}*/
_ => {
self.cycle::<N, 8>(inputs, outputs, data_len, &mut state);
}
}
// Update states efficiently
state.write_states(&mut states);
}
}
impl DonchianChannelDriver {
/// Inner SIMD loop for one epoch of the Donchian Channel computation.
///
/// Iterates over `look_back..data_len` bars, calling the unchecked SIMD `calc`
/// for all `N` asset lanes at each bar, and writing lower/middle/upper
/// to the pre-computed output pointers.
///
/// `CHUNK_SIZE` is the const-generic SIMD prefetch hint passed down to the min/max helpers.
fn cycle<const N: usize, const CHUNK_SIZE: usize>(
&self,
inputs: ([*const f64; N], [*const f64; N]),
outputs: ([*mut f64; N], [*mut f64; N], [*mut f64; N]),
data_len: usize,
state: &mut SimdState<N>,
) {
let (high_ptrs, low_ptrs) = inputs;
let (lower_line_ptr, middle_line_ptr, upper_line_ptr) = outputs;
for (j, i) in (self.look_back..data_len).enumerate() {
let (lower, middle, upper) = unsafe {
state.calc_unchecked_simd::<CHUNK_SIZE>(high_ptrs, low_ptrs, i, self.look_back)
};
// Store results using pre-computed pointers
crate::write_simd_at_indices!(N, j,
lower_line_ptr => lower,
middle_line_ptr => middle,
upper_line_ptr => upper
);
}
}
}
/// Calculates the Donchian Channel indicator for `N` assets simultaneously using SIMD parallelism.
///
/// All assets share the same `options`. Uses the [`PrimeMover`] scheduler to batch assets
/// into SIMD-width groups.
///
/// # Arguments
/// * `inputs` - An array of `N` asset input sets; `inputs[i]` is `[&[f64]; INPUTS_WIDTH]`
/// containing `[high, low]` for asset `i`.
/// * `options` - Shared options applied to all `N` assets: `[period]`.
/// * `_optional_outputs` - Unused; pass `None`.
///
/// # Returns
/// `Ok((outputs, states))` where `outputs[i]` contains `[lower, middle, upper]`
/// for asset `i` and `states[i]` is the final [`IndicatorState`] for asset `i`.
/// Returns `Err(IndicatorError)` if any input is too short or options are invalid.
pub fn indicator_by_assets<const N: usize>(
inputs: &[&[&[f64]; INPUTS_WIDTH]; N], //stock[ fields [ field [f64] ] ]
options: &[f64; OPTIONS_WIDTH],
_optional_outputs: Option<&[bool]>,
) -> Result<(Vec<Vec<Vec<f64>>>, Vec<IndicatorState>), IndicatorError> {
validate_inputs::<INPUTS_WIDTH>(inputs, min_data(options))?;
validate_options(options)?;
let periods = (options[0] as usize, options[0] as usize - 1);
let mut road_train = PrimeMover::<N, State>::new();
let mut output_buffers = Vec::with_capacity(N);
for i in 0..N {
let [high, low] = *inputs[i];
let asset_inputs = vec![high, low];
let (lower_line, middle_line, upper_line) = {
let len = inputs[i][0].len();
let capacity = output_length(len, options);
(
crate::uninit_vec!(f64, capacity),
crate::uninit_vec!(f64, capacity),
crate::uninit_vec!(f64, capacity),
)
};
let state = State::new(high, low, periods);
let mut output_buffer = vec![lower_line, middle_line, upper_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(), //slice from
output_buffer.len(), // slice to
));
}
}
road_train.add_asset(Asset::new(
asset_inputs,
asset_outputs,
i,
periods.1,
periods.1,
state,
None,
));
output_buffers.push(output_buffer);
}
let mut driver = DonchianChannelDriver {
look_back: periods.1,
};
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[i][0],
inputs[i][1],
periods,
));
}
Ok((output_buffers, states))
}