* feat(core): add signed dragonfly/gravestone encoding to Doji Doji gains an opt-in `.signed()` mode that classifies a detected Doji by the position of its body within the bar range: dragonfly (long lower shadow) emits +1.0 (bullish), gravestone (long upper shadow) emits -1.0 (bearish), and a long-legged/standard Doji emits 0.0. The default detection-flag behaviour (+1.0/0.0) is unchanged, so existing callers are unaffected. The other 14 candlestick patterns already emit the uniform +1 bull / -1 bear / 0 none convention; document that explicitly with a "Signed +-1 encoding" section on each so the whole family is a consistent drop-in ML feature. * feat(bindings): expose Doji signed mode in python, node, wasm Hand-write the Doji binding in all three language bindings (instead of the shared candle-pattern macro) so it accepts an opt-in `signed` flag and exposes an `is_signed`/`isSigned` accessor: - Python: `Doji(signed=False)` keyword argument - Node: `new Doji(signed?)` optional constructor argument (index.d.ts/.js regenerated via napi build) - WASM: `new Doji(signed?)` optional constructor argument The default construction is unchanged, so existing callers keep the direction-less +1/0 detection flag. * test(bindings,fuzz): cover Doji signed dragonfly/gravestone encoding - python: dragonfly(+1)/gravestone(-1)/neutral(0) and default-flag cases in test_known_values - node: equivalent signed/default assertions in indicators.test.js - fuzz: drive a signed Doji alongside the default in indicator_update_candle * docs: document signed candlestick convention and Doji signed mode README gains a candlestick sign-convention note; CHANGELOG records the new opt-in Doji signed dragonfly/gravestone encoding under [Unreleased].
224 lines
6.3 KiB
Rust
224 lines
6.3 KiB
Rust
//! Tweezer Top / Bottom candlestick pattern.
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use crate::error::{Error, Result};
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use crate::ohlcv::Candle;
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use crate::traits::Indicator;
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/// Tweezer — a 2-bar reversal pattern where two consecutive candles share an
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/// extreme.
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///
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/// ```text
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/// tol = tolerance * |prev.high| + tolerance * |prev.low| (per leg)
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/// tweezer_top = |curr.high − prev.high| <= tol_high
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/// tweezer_bot = |curr.low − prev.low| <= tol_low
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/// ```
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///
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/// The output is `−1.0` for a Tweezer Top (matched highs), `+1.0` for a
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/// Tweezer Bottom (matched lows), and `0.0` otherwise. If *both* extremes
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/// match — a flat pair of candles — the bottom wins by convention (bullish
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/// rejection of the low). `tolerance` defaults to `0.001` (10 bps relative)
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/// and must lie in `[0, 1)`.
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///
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/// Pattern-shape check only — no trend filter is applied; combine with a trend
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/// indicator for actionable signals.
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///
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/// # Signed ±1 encoding
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///
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/// This detector already emits the uniform candlestick sign convention shared
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/// across the pattern family — `+1.0` bullish, `−1.0` bearish, `0.0` no
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/// pattern — so it drops straight into a machine-learning feature matrix where
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/// the bullish and bearish variants of the pattern occupy a single dimension.
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///
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/// # Example
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///
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/// ```
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/// use wickra_core::{Candle, Indicator, Tweezer};
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///
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/// let mut indicator = Tweezer::new();
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/// indicator.update(Candle::new(11.0, 12.0, 9.5, 9.6, 1.0, 0).unwrap());
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/// // Matching low.
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/// let out = indicator.update(Candle::new(9.7, 10.5, 9.5, 10.2, 1.0, 1).unwrap());
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/// assert_eq!(out, Some(1.0));
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/// ```
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#[derive(Debug, Clone)]
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pub struct Tweezer {
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tolerance: f64,
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prev: Option<Candle>,
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has_emitted: bool,
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}
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impl Default for Tweezer {
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fn default() -> Self {
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Self::new()
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}
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}
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impl Tweezer {
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/// Construct a Tweezer detector with the default relative tolerance (1e-3).
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pub const fn new() -> Self {
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Self {
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tolerance: 0.001,
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prev: None,
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has_emitted: false,
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}
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}
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/// Construct a Tweezer detector with a custom relative tolerance.
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///
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/// `tolerance` must lie in `[0, 1)`.
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pub fn with_tolerance(tolerance: f64) -> Result<Self> {
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if !(0.0..1.0).contains(&tolerance) {
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return Err(Error::InvalidPeriod {
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message: "tweezer tolerance must lie in [0, 1)",
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});
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}
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Ok(Self {
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tolerance,
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prev: None,
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has_emitted: false,
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})
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}
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/// Configured relative tolerance.
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pub fn tolerance(&self) -> f64 {
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self.tolerance
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}
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}
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impl Indicator for Tweezer {
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type Input = Candle;
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type Output = f64;
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fn update(&mut self, candle: Candle) -> Option<f64> {
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self.has_emitted = true;
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let prev = self.prev;
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self.prev = Some(candle);
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let Some(p) = prev else {
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return Some(0.0);
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};
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let tol_high = self.tolerance * p.high.abs().max(candle.high.abs());
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let tol_low = self.tolerance * p.low.abs().max(candle.low.abs());
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let match_low = (candle.low - p.low).abs() <= tol_low;
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let match_high = (candle.high - p.high).abs() <= tol_high;
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if match_low {
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Some(1.0)
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} else if match_high {
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Some(-1.0)
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} else {
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Some(0.0)
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}
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}
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fn reset(&mut self) {
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self.prev = None;
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self.has_emitted = false;
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}
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fn warmup_period(&self) -> usize {
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2
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}
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fn is_ready(&self) -> bool {
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self.has_emitted
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}
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fn name(&self) -> &'static str {
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"Tweezer"
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::traits::BatchExt;
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fn c(open: f64, high: f64, low: f64, close: f64, ts: i64) -> Candle {
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Candle::new(open, high, low, close, 1.0, ts).unwrap()
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}
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#[test]
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fn rejects_invalid_tolerance() {
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assert!(Tweezer::with_tolerance(-0.01).is_err());
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assert!(Tweezer::with_tolerance(1.0).is_err());
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}
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#[test]
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fn accepts_valid_tolerance() {
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let t = Tweezer::with_tolerance(0.0).unwrap();
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assert!((t.tolerance() - 0.0).abs() < 1e-12);
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}
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#[test]
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fn accessors_and_metadata() {
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let t = Tweezer::default();
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assert_eq!(t.name(), "Tweezer");
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assert_eq!(t.warmup_period(), 2);
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assert!(!t.is_ready());
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assert!((t.tolerance() - 0.001).abs() < 1e-12);
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}
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#[test]
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fn tweezer_bottom_is_plus_one() {
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let mut t = Tweezer::new();
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assert_eq!(t.update(c(11.0, 12.0, 9.5, 9.6, 0)), Some(0.0));
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// Matching low 9.5.
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assert_eq!(t.update(c(9.7, 10.5, 9.5, 10.2, 1)), Some(1.0));
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}
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#[test]
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fn tweezer_top_is_minus_one() {
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let mut t = Tweezer::new();
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assert_eq!(t.update(c(9.0, 12.0, 8.5, 11.0, 0)), Some(0.0));
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// Matching high 12.0.
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assert_eq!(t.update(c(11.5, 12.0, 11.0, 11.4, 1)), Some(-1.0));
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}
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#[test]
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fn distinct_extremes_yield_zero() {
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let mut t = Tweezer::new();
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t.update(c(10.0, 11.0, 9.0, 10.5, 0));
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assert_eq!(t.update(c(10.6, 11.5, 9.6, 11.2, 1)), Some(0.0));
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}
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#[test]
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fn first_bar_returns_zero() {
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let mut t = Tweezer::new();
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assert_eq!(t.update(c(10.0, 11.0, 9.0, 10.5, 0)), Some(0.0));
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}
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#[test]
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fn matched_both_extremes_prefers_bottom() {
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// Identical candles match both highs and lows -> bottom (+1.0).
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let mut t = Tweezer::new();
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t.update(c(10.0, 11.0, 9.0, 10.5, 0));
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assert_eq!(t.update(c(10.0, 11.0, 9.0, 10.5, 1)), Some(1.0));
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}
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#[test]
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fn batch_equals_streaming() {
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let candles: Vec<Candle> = (0..40)
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.map(|i| {
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let base = 100.0 + (i as f64 * 0.1).sin();
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c(base, base + 2.0, base - 2.0, base + 0.5, i)
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})
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.collect();
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let mut a = Tweezer::new();
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let mut b = Tweezer::new();
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assert_eq!(
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a.batch(&candles),
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candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
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);
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}
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#[test]
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fn reset_clears_state() {
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let mut t = Tweezer::new();
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t.update(c(10.0, 11.0, 9.0, 10.5, 0));
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t.update(c(10.0, 11.0, 9.0, 10.5, 1));
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assert!(t.is_ready());
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t.reset();
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assert!(!t.is_ready());
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assert_eq!(t.update(c(10.0, 11.0, 9.0, 10.5, 0)), Some(0.0));
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}
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}
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