perf(precompute): parallel trades load + predecoded sidecar cache
Flamegraph of precompute_features on 1Q ES showed 62% of CPU time in zstd decompression, 6% in DBN FSM parsing, and only 2% in the actual feature math — single-threaded zstd was the bottleneck, not compute. Two fixes: 1. Per-quarter parallelism on the volume-bar trades loop (was sequential `for file in &trade_files`); brings it in line with the OFI path that already used par_iter. 2. Predecoded sidecar cache in `crates/ml-features/src/predecoded.rs`: first call to a `.dbn.zst` writes a bincode'd Vec<Mbp10Snapshot> or Vec<DbnTrade> under `<output_dir>/predecoded/`. Subsequent calls deserialize the sidecar and skip zstd entirely. An mtime+size header self-invalidates the sidecar when the source changes — no manual flush needed when a quarter is re-downloaded. Local 1Q ES results: - cold (writes sidecar): 40.7s (was 39.3s; +1.4s for write) - warm (HIT): 4.7s (8.7× faster) - zstd in flat perf: 62% → 0% of CPU samples - sidecar disk per Q: ~150MB The sidecar layer also auto-dedupes within a single run: the OFI section re-loads trades, but the second call hits the sidecar that the volume-bar section wrote moments earlier. CLI: `--rebuild-predecoded` purges sidecars for cold-path testing or after a wire-format change to Mbp10Snapshot / DbnTrade. Sidecars also self-invalidate on format-version mismatch so old caches are skipped silently rather than mis-deserializing. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -184,6 +184,17 @@ struct Opts {
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/// Only used when `--row-unit snapshot`.
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#[arg(long, default_value_t = 100)]
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snapshot_warmup: usize,
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/// Purge the predecoded-sidecar cache before loading.
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///
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/// Predecoded sidecars (`<basename>.<kind>.predecoded.bin` under
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/// `<output_dir>/predecoded/`) skip zstd-DBN decompression on subsequent
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/// precompute runs. They self-invalidate when the source file's mtime or
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/// size changes, so this flag is normally unnecessary — pass it only after
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/// a format change to `Mbp10Snapshot` / `DbnTrade` (bumps fail to
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/// deserialize) or when explicitly testing the cold path.
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#[arg(long)]
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rebuild_predecoded: bool,
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}
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// ---------------------------------------------------------------------------
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@@ -217,6 +228,20 @@ async fn main() -> Result<()> {
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let mbp10_dir = opts.mbp10_data_dir.as_ref().map(PathBuf::from);
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let trades_dir = opts.trades_data_dir.as_ref().map(PathBuf::from);
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// Predecoded-sidecar cache lives under output_dir/predecoded/ so it sits
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// next to the .fxcache outputs (same writability assumptions). First call
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// for any source `.dbn.zst` pays zstd; subsequent calls deserialize the
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// sidecar and skip decompression entirely (zstd was 62% of wall time on
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// the 2026-05-16 1Q ES profile).
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let predecoded_dir = output_dir.join("predecoded");
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std::fs::create_dir_all(&predecoded_dir)
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.with_context(|| format!("Failed to create predecoded dir {}", predecoded_dir.display()))?;
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if opts.rebuild_predecoded {
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let removed = ml::features::predecoded::purge_predecoded_dir(&predecoded_dir)
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.with_context(|| format!("Failed to purge {}", predecoded_dir.display()))?;
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info!("--rebuild-predecoded: purged {} sidecar(s) from {}", removed, predecoded_dir.display());
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}
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// ── Validate inputs ──────────────────────────────────────────────────────
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if !data_dir.exists() {
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anyhow::bail!("Data directory not found: {}", data_dir.display());
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@@ -358,23 +383,40 @@ async fn main() -> Result<()> {
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// Load trades PER FILE and filter front-month within each file.
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// Each quarterly DBN file has a different front-month contract (e.g. ESH24, ESM24).
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// Filtering globally would select only ONE quarter's contract.
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let mut all_front_month_trades: Vec<ml::features::DbnTrade> = Vec::new();
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let mut total_raw = 0_usize;
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for file in &trade_files {
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match ml::features::load_trades_sync(file) {
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Ok(trades) => {
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let raw_count = trades.len();
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total_raw += raw_count;
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let filtered = ml::features::filter_front_month(&trades);
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info!(" {} -> {} trades, {} front-month",
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file.file_name().unwrap_or_default().to_string_lossy(),
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raw_count, filtered.len());
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all_front_month_trades.extend(filtered);
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}
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Err(e) => {
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tracing::warn!(" Failed {:?}: {e}", file.file_name());
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}
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}
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//
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// Parallel across quarters via rayon; each file goes through the
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// predecoded-sidecar cache so a re-run of `precompute_features` skips
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// zstd decompression entirely.
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let per_file: Vec<(usize, Vec<ml::features::DbnTrade>)> = {
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use rayon::prelude::*;
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trade_files
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.par_iter()
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.filter_map(|file| {
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match ml::features::predecoded::load_or_predecode_trades(file, &predecoded_dir) {
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Ok(trades) => {
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let raw_count = trades.len();
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let filtered = ml::features::filter_front_month(&trades);
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info!(
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" {} -> {} trades, {} front-month",
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file.file_name().unwrap_or_default().to_string_lossy(),
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raw_count,
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filtered.len()
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);
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Some((raw_count, filtered))
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}
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Err(e) => {
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tracing::warn!(" Failed {:?}: {e}", file.file_name());
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None
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}
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}
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})
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.collect()
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};
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let total_raw: usize = per_file.iter().map(|(r, _)| r).sum();
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let mut all_front_month_trades: Vec<ml::features::DbnTrade> =
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Vec::with_capacity(per_file.iter().map(|(_, t)| t.len()).sum());
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for (_, t) in per_file {
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all_front_month_trades.extend(t);
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}
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all_front_month_trades.sort_by_key(|t| t.timestamp);
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info!("Total trades: {} raw, {} front-month", total_raw, all_front_month_trades.len());
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@@ -521,8 +563,7 @@ async fn main() -> Result<()> {
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const OFI_DIM: usize = ml_core::state_layout::OFI_DIM;
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let t2 = Instant::now();
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let ofi: Vec<[f64; OFI_DIM]> = if let Some(ref mbp10_path) = mbp10_dir {
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use ml::features::mbp10_loader::load_ofi_features_parallel;
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use ml::features::trades_loader::load_trades_sync;
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use ml::features::ofi_calculator::OFICalculator;
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info!("Loading MBP-10 snapshots from {}...", mbp10_path.display());
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let mut mbp10_files = collect_dbn_files_recursive(mbp10_path);
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@@ -532,21 +573,17 @@ async fn main() -> Result<()> {
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info!("No MBP-10 files found, OFI will be zeros");
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vec![[0.0; OFI_DIM]; n]
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} else {
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// Load MBP-10 snapshots (parallel)
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use data::providers::databento::dbn_parser::DbnParser;
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// Load MBP-10 snapshots (parallel, with predecoded sidecar)
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let per_file: Vec<Vec<_>> = {
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use rayon::prelude::*;
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mbp10_files.par_iter().filter_map(|file| {
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let parser = match DbnParser::new() {
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Ok(p) => p,
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Err(e) => { tracing::warn!("Parser init failed: {e}"); return None; }
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};
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let mut snapshots = Vec::new();
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match parser.parse_mbp10_streaming(file, 100, |snap| {
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snapshots.push(snap.clone());
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}) {
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Ok(_) => {
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info!(" {} -> {} snapshots", file.file_name().unwrap_or_default().to_string_lossy(), snapshots.len());
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match ml::features::predecoded::load_or_predecode_mbp10(file, &predecoded_dir) {
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Ok(snapshots) => {
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info!(
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" {} -> {} snapshots",
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file.file_name().unwrap_or_default().to_string_lossy(),
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snapshots.len()
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);
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Some(snapshots)
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}
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Err(e) => {
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@@ -562,24 +599,29 @@ async fn main() -> Result<()> {
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all_snapshots.sort_by_key(|s| s.timestamp);
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info!("Loaded {} MBP-10 snapshots in {:.1}s", all_snapshots.len(), t2.elapsed().as_secs_f64());
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// Load trades (parallel) and filter front-month per-file.
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// Load trades (parallel, with predecoded sidecar) and filter
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// front-month per-file.
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//
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// Pre-2026-05-09: this branch loaded trades unfiltered, leaking
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// off-contract trade activity into the per-bar OFI/VPIN/Kyle's
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// Lambda computations during contract rollover windows. Volume
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// bar formation already filters front-month at line 354 of this
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// file; the OFI side did not. Audit confirmed the latent bug
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// bar formation already filters front-month at the trades-for-bars
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// load above; the OFI side did not. Audit confirmed the latent bug
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// affected every prior MBP-10+trades production run.
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//
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// Fix: mirror the per-file `filter_front_month` call from the
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// volume bar path so OFI windows only see in-month trades.
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//
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// Trade loads go through `load_or_predecode_trades` so the sidecar
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// cache is shared with the bar-formation path above (one decode of
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// each `.dbn.zst` per process — the OFI re-load is a sidecar HIT).
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let all_trades = if let Some(ref tdir) = trades_dir {
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let mut trade_files = collect_dbn_files_recursive(tdir);
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trade_files.sort();
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let per_file_trades: Vec<Vec<_>> = {
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use rayon::prelude::*;
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trade_files.par_iter().filter_map(|path| {
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match load_trades_sync(path) {
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match ml::features::predecoded::load_or_predecode_trades(path, &predecoded_dir) {
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Ok(t) => {
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let raw_count = t.len();
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let filtered = ml::features::filter_front_month(&t);
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