class rfnode.common.util.NumpyComplexEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)

Bases: JSONEncoder

default(obj) → any

Implement this method in a subclass such that it returns a serializable object for o, or calls the base implementation (to raise a TypeError).

For example, to support arbitrary iterators, you could implement default like this:

def default(self, o):
    try:
        iterable = iter(o)
    except TypeError:
        pass
    else:
        return list(iterable)
    # Let the base class default method raise the TypeError
    return super().default(o)

class rfnode.common.util.Util

Bases: object

classmethod generate_array(freq_start: int, freq_end: int, freq_step: int, device_amount: int) → list[int64]

Generates an array of frequencies based on the provided start, end, and step values. Args:

freq_start (int): The starting frequencies in HZ. freq_end (int): The ending frequencies in HZ. freq_step (int): The step size for frequency increments in HZ. device_amount (int): The number of devices to split the frequencies into

Return:

list[int]:Array of equal or near-equal size.

.