1 """Scoring functions with branching and recursive type flow."""
   2
   3
   4 def clamp(value, lower=0.0, upper=1.0):
   5     if value < lower:
   6         return lower
   7     if value > upper:
   8         return upper
   9     return value
  10
  11
  12 def confidence_band(score):
  13     distance = abs(score - 0.5)
  14     if distance >= 0.35:
  15         return "high conviction"
  16     if distance >= 0.18:
  17         return "moderate conviction"
  18     return "watchlist"
  19
  20
  21 def weighted_signal(values):
  22     """Collapse a list recursively so the demo exposes recursive references."""
  23     if len(values) == 1:
  24         return values[0]
  25     head = values[0]
  26     tail = weighted_signal(values[1:])
  27     return head * 0.6 + tail * 0.4
  28
  29
  30 def score_market(market):
  31     price_signal = clamp(market.yes_price)
  32     volume_signal = clamp(market.volume / 150000.0)
  33     return weighted_signal([price_signal, volume_signal])