# tests/test_validators.py — minimal unit tests for validator logic
import numpy as np

# Synthetic totals for monotonicity
worst_ebitda = 100
base_ebitda = 150
best_ebitda = 200

worst_cash = 80
base_cash = 120
best_cash = 160

assert worst_ebitda <= base_ebitda <= best_ebitda, "EBITDA monotonicity failed"
assert worst_cash <= base_cash <= best_cash, "Cash monotonicity failed"

# Bounds example
bounds = {
    "rev_growth_pct": (-0.20, 0.30),
    "gm_bps": (-500, 500),
    "opex_infl_pct": (-0.10, 0.20),
    "fx_pct": (-0.10, 0.10),
    "dso": (30, 90),
    "dpo": (15, 90),
    "dio": (20, 120),
}

sample_drivers = {"rev_growth_pct": 0.05, "gm_bps": 100, "opex_infl_pct": 0.02, "fx_pct": 0.00, "dso": 60, "dpo": 45, "dio": 60}
for k,(lo,hi) in bounds.items():
    v = sample_drivers[k]
    assert lo <= v <= hi, f"{k} out of bounds"

print("Validator smoke tests passed.")