Module quantum_inferno.utilities.rescaling

A set of functions to rescale data.

Functions

def is_power_of_two(n: int) ‑> bool

:param n: value to check :return True if n is positive and a power of 2, False otherwise

def to_decibel_with_epsilon(x: Union[numpy.ndarray, float, list], reference: float = 1.0, input_scaling: str = 'amplitude') ‑> Union[numpy.ndarray, float]

Convert data to decibels with epsilon added to avoid log(0) errors.

:param x: data or value to rescale :param reference: reference value for the decibel scaling (default is None) :param input_scaling: the scaling type of the data (default is amplitude) :return: rescaled data or value as decibels

def to_log2_with_epsilon(x: Union[numpy.ndarray, float, list]) ‑> Union[numpy.ndarray, float]

Convert the absolute value of the data to log2 with epsilon added to avoid log(0) and log(<0) errors.

:param x: data or value to rescale :return: rescaled data or value