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//use crate::common::validate_inputs;
use crate::indicators::mass::{
min_data, multiplier, output_length, IndicatorState, State, INPUTS_WIDTH, OPTIONS_WIDTH,
};
use crate::indicators::simd_indicators::mass_simd::asset::SimdState;
use crate::indicators::simd_indicators::road_train::{Asset, Driver, PrimeMover};
use crate::types::IndicatorError;
use crate::{common::validate_options, common_simd::assets::validate_inputs};
use std::simd::Simd;
/// SIMD driver that advances the Mass Index (Mass) across `N` asset lanes per scheduling
/// epoch.
struct MassDriver {
multipliers: (f64, f64),
}
impl Driver<State> for MassDriver {
/// Processes one epoch of bars for `N` assets simultaneously using SIMD.
///
/// Reads from `inputs[asset][field]` (high, low), writes the Mass Index to
/// `outputs[asset][0]`, 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 mut state = SimdState::<N>::new(&mut states);
let len = inputs[0][0].len();
let multiplier = (
Simd::splat(self.multipliers.0),
Simd::splat(self.multipliers.1),
);
//collect outputs
let mass_line_ptr = crate::extract_output_ptrs!(outputs, N, mass_line_ptr);
let (high_ptrs, low_ptrs) = crate::extract_input_ptrs!(inputs, N, high_ptrs, low_ptrs);
// Optimization 3: Simplified main loop with pre-computed offsets
for i in 0..len {
// Get inputs arrays for stocks
let (high, low) = crate::extract_simd_inputs_at_index!(
i,
N,
high @ high_ptrs,
low @ low_ptrs
);
let mass = unsafe { state.calc_unchecked_simd(high, low, multiplier) };
crate::write_simd_at_indices!(N, i,
mass_line_ptr => mass
);
}
// Update states efficiently
state.write_states(&mut states);
}
}
/// Calculates the Mass Index (Mass) for `N` assets simultaneously using SIMD parallelism.
///
/// 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 slice; `options[0]` is the period.
/// * `_optional_outputs` - Unused; Mass Index has no optional outputs.
///
/// # Returns
/// `Ok((outputs, states))` where `outputs[i][0]` is the Mass Index for asset `i`
/// and `states[i]` is the final [`IndicatorState`] for asset `i`.
/// Returns `Err(IndicatorError)` if any input slice 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 period = options[0] as usize;
let multipliers = multiplier();
let mut road_train = PrimeMover::<N, State>::new();
let mut output_buffers = Vec::with_capacity(N);
for i in 0..N {
let asset_inputs = vec![
inputs[i][0], // high
inputs[i][1], // low
];
let mut mass_line = {
let capacity = output_length(inputs[i][0].len(), options);
crate::uninit_vec!(f64, capacity)
};
let (start, state) = State::init_state(
inputs[i][0],
inputs[i][1],
period,
multipliers,
&mut mass_line,
);
let mut output_buffer = vec![mass_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(1), //slice from
output_buffer.len() - 1, // slice to
));
}
}
road_train.add_asset(Asset::new(
asset_inputs,
asset_outputs,
i,
start,
0,
state,
None,
));
output_buffers.push(output_buffer);
}
let mut driver = MassDriver { multipliers };
let states_vec = road_train.drive(&mut driver);
let mut states = Vec::with_capacity(N);
for state in states_vec.into_iter() {
states.push(IndicatorState::new(state, multipliers));
}
Ok((output_buffers, states))
}