swap f string notation for python 3.10 compat
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97669563d7
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18
main.py
18
main.py
@ -95,16 +95,26 @@ def process_data(gData):
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scope_time =- np.timedelta64(trigger_info["alignment-offset"], 'ns')
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scope_time =+ np.timedelta64(trigger_info["delay"], 'us')
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#start_time = np.datetime64(f"{gData["info"]["date"]}T{gData["info"]["time"]}")
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start_time = 0
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x2_timesteps = np.array([0 for _ in x2_time])
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return x2_time, scope_time
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for i, dt in enumerate(x2_time):
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dt = dt.astype("int")
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if i == 0:
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x2_timesteps[i] = start_time + dt # should be 0
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else:
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x2_timesteps[i] = x2_timesteps[i-1] + dt
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return x2_time, scope_time, x2_timesteps
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def genGraph(gData):
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x2_time, scope_time = process_data(gData)
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graphData = {
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"title": f"Shock response Time\nFor {gData["info"]["long_name"]}",
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"title": f"Shock response Time\nFor {gData['info']['long_name']}",
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"xLabel": "Time (ns)",
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"yLabel": "Voltage Reading (V)",
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"grid": True,
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@ -148,9 +158,9 @@ def genGraph(gData):
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gData = data[loaded_data[0]]
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x2_time, scope_time = process_data(gData)
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x2_time, scope_time, x2_timestamps = process_data(gData)
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x2_out = canny_shock_finder(x2_time, (gData["x2"][4][:] - gData["x2"][4][0]) * 0.0148, plot=False)
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x2_out = canny_shock_finder(x2_timestamps, (gData["x2"][4][:] - gData["x2"][4][0]) * 0.0148)
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print(x2_out)
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input("foo")
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