nanovna-saver/src/NanoVNASaver/Settings/Sweep.py

97 wiersze
2.9 KiB
Python
Czysty Zwykły widok Historia

2020-06-13 08:22:30 +00:00
# NanoVNASaver
2020-06-25 17:52:30 +00:00
#
2020-06-13 08:22:30 +00:00
# A python program to view and export Touchstone data from a NanoVNA
2020-06-25 17:52:30 +00:00
# Copyright (C) 2019, 2020 Rune B. Broberg
2021-06-30 05:21:14 +00:00
# Copyright (C) 2020,2021 NanoVNA-Saver Authors
2019-08-29 13:10:35 +00:00
#
# 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 <https://www.gnu.org/licenses/>.
2019-11-20 15:56:09 +00:00
import logging
from dataclasses import dataclass, replace
2020-07-27 14:28:50 +00:00
from enum import Enum
2020-07-24 19:14:48 +00:00
from math import log
2020-07-27 14:28:50 +00:00
from threading import Lock
from typing import Iterator, NamedTuple
2019-09-16 13:47:37 +00:00
logger = logging.getLogger(__name__)
2020-07-27 14:28:50 +00:00
class SweepMode(Enum):
SINGLE = 0
CONTINOUS = 1
AVERAGE = 2
class Properties(NamedTuple):
name: str = ""
mode: "SweepMode" = SweepMode.SINGLE
averages: tuple[int, int] = (3, 0)
logarithmic: bool = False
2020-07-27 14:28:50 +00:00
@dataclass
2022-05-27 07:03:37 +00:00
class Sweep:
start: int = 3600000
end: int = 30000000
points: int = 101
segments: int = 1
properties: "Properties" = Properties()
def __post_init__(self):
2020-07-27 14:28:50 +00:00
self.lock = Lock()
self.check()
2020-07-27 14:28:50 +00:00
logger.debug("%s", self)
2023-03-08 08:40:39 +00:00
def copy(self) -> "Sweep":
return replace(self)
2020-07-28 08:30:59 +00:00
2020-07-27 14:28:50 +00:00
@property
def span(self) -> int:
return self.end - self.start
@property
def stepsize(self) -> int:
2022-05-27 07:03:37 +00:00
return round(self.span / (self.points * self.segments - 1))
2020-07-27 14:28:50 +00:00
def check(self):
2022-03-17 16:54:52 +00:00
if (
2023-03-08 08:40:39 +00:00
self.segments <= 0
or self.points <= 0
or self.start < 0
2023-03-08 08:40:39 +00:00
or self.end <= 0
or self.stepsize < 1
2022-03-17 16:54:52 +00:00
):
raise ValueError(f"Illegal sweep settings: {self}")
2020-07-25 19:34:49 +00:00
def _exp_factor(self, index: int) -> float:
2020-07-24 19:14:48 +00:00
return 1 - log(self.segments + 1 - index) / log(self.segments + 1)
def get_index_range(self, index: int) -> tuple[int, int]:
2020-07-27 14:28:50 +00:00
if not self.properties.logarithmic:
start = self.start + index * self.points * self.stepsize
end = start + (self.points - 1) * self.stepsize
2020-07-24 19:14:48 +00:00
else:
2020-07-25 19:34:49 +00:00
start = round(self.start + self.span * self._exp_factor(index))
end = round(self.start + self.span * self._exp_factor(index + 1))
2020-07-24 19:14:48 +00:00
logger.debug("get_index_range(%s) -> (%s, %s)", index, start, end)
2022-05-27 07:03:37 +00:00
return start, end
def get_frequencies(self) -> Iterator[int]:
2020-07-24 19:14:48 +00:00
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