def evaluate()

in clearbox/features.py [0:0]

• 4 lines of code
• 2 McCabe index (conditional complexity)

  def evaluate(self, signal_data: pd.DataFrame) -> npt.NDArray[float]:
    """Evaluate the node on `signal_data`.

    Args:
      signal_data: `pd.DataFrame` of signal values.

    Returns:
      Array of results as floats.
    """
    if signal_data.empty:
      raise ValueError("`signal_data` should not be empty.")
    return np.full(signal_data.shape[0], self._value)