Files
wickra/bindings/python/tests/test_input_validation.py
T
kingchenc 5aa0949bce feat(family-13): add Ichimoku + Heikin-Ashi (#50)
Two new indicators in a brand-new "Ichimoku & alternative charts"
family:

- `Ichimoku` (Ichimoku Kinko Hyo): the full five-line cloud system
  (Tenkan-sen, Kijun-sen, Senkou Span A/B, Chikou Span). Classic
  (9, 26, 52, 26) defaults; configurable. Forward displacement is
  handled in an O(1) ring buffer so the visible Senkou A/B at bar n
  are the values computed at bar n-displacement.
- `HeikinAshi`: recursive candle smoothing transform emitting a
  four-field synthetic candle. Seeds ha_open from (open+close)/2 on
  the first bar.

Touchpoints: core + unit tests, mod.rs/lib.rs re-exports, Python +
Node + WASM bindings (multi-output via PyArray2 / interleaved Vec<f64>
/ Object+Float64Array), Python tests across smoke/new-indicators/
input-validation, Node parity tests, fuzz target (Candle), benches,
README family table + counter (71 -> 73, 8 -> 9 families), CHANGELOG.

Note: Renko, Kagi, and Point & Figure from the family-13 ideas list
are intentionally skipped. They are bar generators (the bar boundary
is defined by price moves, not by a fixed time interval) rather than
indicators that consume a candle stream, and belong in wickra-data
as candle/tick transforms alongside the existing tick-to-candle
aggregator and resampler.
2026-05-25 23:02:29 +02:00

71 lines
2.1 KiB
Python

"""Input-validation tests: malformed NumPy inputs raise ValueError, not panics."""
from __future__ import annotations
import numpy as np
import pytest
import wickra as ta
def test_non_contiguous_array_raises_value_error():
# A strided view is not C-contiguous; batch() must reject it cleanly.
base = np.linspace(1.0, 100.0, 60)
non_contiguous = base[::2]
assert not non_contiguous.flags["C_CONTIGUOUS"]
with pytest.raises(ValueError):
ta.SMA(5).batch(non_contiguous)
def test_ascontiguousarray_recovers():
base = np.linspace(1.0, 100.0, 60)
fixed = np.ascontiguousarray(base[::2])
out = ta.SMA(5).batch(fixed)
assert out.shape == fixed.shape
def test_unequal_length_candle_batch_raises(ohlc_series):
high, low, close = ohlc_series
short = low[:-1]
with pytest.raises(ValueError):
ta.ATR(14).batch(high, short, close)
with pytest.raises(ValueError):
ta.WilliamsR(14).batch(high, short, close)
with pytest.raises(ValueError):
ta.Aroon(14).batch(high, short)
def test_roc_and_trix_have_default_periods():
# ROC/TRIX gained constructor defaults matching the TA-Lib convention.
assert ta.ROC().period == 10
assert ta.TRIX() is not None
def test_ichimoku_rejects_zero_and_non_increasing_periods():
with pytest.raises(ValueError):
ta.Ichimoku(0, 26, 52, 26)
with pytest.raises(ValueError):
ta.Ichimoku(9, 26, 52, 0)
# Periods must satisfy tenkan < kijun < senkou_b.
with pytest.raises(ValueError):
ta.Ichimoku(26, 9, 52, 26)
with pytest.raises(ValueError):
ta.Ichimoku(9, 52, 52, 26)
def test_family_10_ehlers_rejects_invalid_parameters():
with pytest.raises(ValueError):
ta.SuperSmoother(0)
with pytest.raises(ValueError):
ta.FisherTransform(0)
with pytest.raises(ValueError):
ta.InverseFisherTransform(0.0)
with pytest.raises(ValueError):
ta.DecyclerOscillator(30, 10)
with pytest.raises(ValueError):
ta.RoofingFilter(48, 10)
with pytest.raises(ValueError):
ta.MAMA(0.05, 0.5)
with pytest.raises(ValueError):
ta.EmpiricalModeDecomposition(20, 0.0)