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@@ -25,12 +25,10 @@ def save_waveform():
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signal_std = np.std(data[state["start"]:state["stop"]])
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wf_number = chip.get_wf_cnt()
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timestamp = time.time()
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- print(wf_number, timestamp, last_wf_number, last_timestamp)
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if(last_wf_number>0 and wf_number - last_wf_number>0):
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state["board_freq"] = (wf_number - last_wf_number)/(timestamp - last_timestamp)
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else:
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state["board_freq"] = 0
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- print(state["board_freq"])
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last_wf_number, last_timestamp = wf_number, timestamp
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tosave = [wf_number, timestamp, state["start"], state["stop"], state["start_gnd"], state["stop_gnd"], state["input_gain"], state["offset"], signal, gnd, signal_std, gnd_std, state["wf_len"]] + list(data)
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np.savetxt("data/waveforms/"+str(int(timestamp*100))+".csv", [tosave], delimiter=",", fmt='%10.5f')
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@@ -399,7 +397,7 @@ state = {
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"mode": 0,
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"out_of_lock": 0,
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"pi_freq": 1,
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- "board_freq": 0,
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+ "board_freq": -1,
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"remote_trigg": 0,
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"enab_gnd": 1,
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"Vlearn": 3200,
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jarjonam