# NanoVNASaver # # A python program to view and export Touchstone data from a NanoVNA # Copyright (C) 2019, 2020 Rune B. Broberg # Copyright (C) 2020,2021 NanoVNA-Saver Authors # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . import logging from enum import Enum from math import log from threading import Lock from typing import Iterator, Tuple logger = logging.getLogger(__name__) class SweepMode(Enum): SINGLE = 0 CONTINOUS = 1 AVERAGE = 2 class Properties: def __init__(self, name: str = "", mode: 'SweepMode' = SweepMode.SINGLE, averages: Tuple[int, int] = (3, 0), logarithmic: bool = False): self.name = name self.mode = mode self.averages = averages self.logarithmic = logarithmic def __repr__(self): return ( f"Properties('{self.name}', {self.mode}, {self.averages}," f" {self.logarithmic})") class Sweep: def __init__(self, start: int = 3600000, end: int = 30000000, points: int = 101, segments: int = 1, properties: 'Properties' = Properties()): self.start = start self.end = end self.points = points self.segments = segments self.properties = properties self.lock = Lock() self.check() logger.debug("%s", self) def __repr__(self) -> str: return ( f"Sweep({self.start}, {self.end}, {self.points}, {self.segments}," f" {self.properties})") def __eq__(self, other) -> bool: return (self.start == other.start and self.end == other.end and self.points == other.points and self.segments == other.segments and self.properties == other.properties) def copy(self) -> 'Sweep': return Sweep(self.start, self.end, self.points, self.segments, self.properties) @property def span(self) -> int: return self.end - self.start @property def stepsize(self) -> int: return round(self.span / (self.points * self.segments - 1)) def check(self): if ( self.segments <= 0 or self.points <= 0 or self.start <= 0 or self.end <= 0 or self.stepsize < 1 ): raise ValueError(f"Illegal sweep settings: {self}") def _exp_factor(self, index: int) -> float: return 1 - log(self.segments + 1 - index) / log(self.segments + 1) def get_index_range(self, index: int) -> Tuple[int, int]: if not self.properties.logarithmic: start = self.start + index * self.points * self.stepsize end = start + (self.points - 1) * self.stepsize else: start = round(self.start + self.span * self._exp_factor(index)) end = round(self.start + self.span * self._exp_factor(index + 1)) logger.debug("get_index_range(%s) -> (%s, %s)", index, start, end) return start, end def get_frequencies(self) -> Iterator[int]: for i in range(self.segments): start, stop = self.get_index_range(i) step = (stop - start) / self.points freq = start for _ in range(self.points): yield round(freq) freq += step