Oops. I broke typing
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@ -24,7 +24,8 @@ from PySide6.QtWidgets import (
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)
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from skrf import plotting as rf_plt
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from util import db20, s2vswr
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from vna import Charon
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# from vna import Charon
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DEFAULT_CONFIG = dict(
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frequency=np.arange(1e9, 2e9, 11), # Hz
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@ -61,9 +62,7 @@ class PlotWidget(QWidget):
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self.ax.xaxis.set_major_formatter(EngFormatter())
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self.ax.set_xlabel("Frequency [Hz]")
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def update_rect(
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self, data: xr.DataArray, func: Callable[[npt.ArrayLike[np.complex128]], npt.ArrayLike[float]]
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) -> None:
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def update_rect(self, data: xr.DataArray, func: Callable[[npt.ArrayLike], npt.ArrayLike]) -> None:
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self.ax.set_xlim(data["frequency"].min().data, data["frequency"].max().data)
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# remove old lines
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for line in self.ax.lines:
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@ -115,14 +114,14 @@ class PlotWidget(QWidget):
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# Subclass QMainWindow to customize your application's main window
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class MainWindow(QMainWindow):
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config_path: Path | None
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device: Charon
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# device: Charon
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def __init__(self):
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super().__init__()
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self.config_path = None
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self.device = Charon("ip:192.168.3.1", frequency=DEFAULT_CONFIG["frequency"])
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# self.device = Charon("ip:192.168.3.1", frequency=DEFAULT_CONFIG["frequency"])
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mpl.use("QtAgg")
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@ -148,6 +147,12 @@ class MainWindow(QMainWindow):
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menu_stimulus = QMenu("&Stimulus")
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menubar.addMenu(menu_stimulus)
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action_set_frequency = QAction("&Frequency", self)
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menu_stimulus.addAction(action_set_frequency)
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# action_set_frequency.triggered.connect(self.set_frequency)
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action_set_power = QAction("&Power", self)
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menu_stimulus.addAction(action_set_power)
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# action_set_power.triggered.connect(self.set_power)
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menu_calibration = QMenu("&Calibration")
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menubar.addMenu(menu_calibration)
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@ -38,15 +38,15 @@ HAM_BANDS = [
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]
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def db10(p: npt.ArrayLike[np.complex128]) -> npt.ArrayLike[float]:
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def db10(p: npt.ArrayLike) -> npt.ArrayLike:
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return 10 * np.log10(np.abs(p))
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def db20(v: npt.ArrayLike[np.complex128]) -> npt.ArrayLike[float]:
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def db20(v: npt.ArrayLike) -> npt.ArrayLike:
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return 20 * np.log10(np.abs(v))
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def s2vswr(s: npt.ArrayLike[np.complex128]) -> npt.ArrayLike[float]:
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def s2vswr(s: npt.ArrayLike) -> npt.ArrayLike:
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return (1 + np.abs(s)) / (1 - np.abs(s))
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