82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
"""
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Copyright 2023 (C) Peter McGoron
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This file is a part of Upsilon, a free and open source software project.
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For license terms, refer to the files in `doc/copying` in the Upsilon
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source distribution.
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"""
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from pssh.clients import SSHClient # require parallel-ssh
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import numpy as np
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import matplotlib.pyplot as plt
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import pandas as pd
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import sys
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def sign_extend(value, bits):
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"""
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Interpret ``value`` as a twos-complement integer of ``bits`` length.
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:param value: Twos-complement integer with finite bit width.
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:param bits: Bit length of ``value``.
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:return: ``value`` converted to a Python integer.
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"""
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# Check the sign bit of the integer.
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is_signed = (value >> (bits - 1)) & 1 == 1
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# If not signed, just return the integer.
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if not is_signed:
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return value
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# Otherwise,
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# 1. Do an explicit twos-complement negation
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# 2. Mask all the non-sign bits
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# This returns the positive value as a standard Python integer.
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# Then the function negates the positive integer to get the negative
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# one back.
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return -((~value + 1) & ((1 << (bits - 1)) - 1))
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###################
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# Boilerplate
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###################
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# Start a SSH connection to the server.
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print('connecting')
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client = SSHClient('192.168.2.50', user='root', pkey='~/.ssh/upsilon_key')
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# Upload the script.
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print('connected')
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client.scp_send('../linux/noise_test.py', '/root/noise_test.py')
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# Run the script.
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out = client.run_command('micropython noise_test.py')
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################
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# Script Handler
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################
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"""
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The ramp script outputs a list of lines, each with two values separated by one
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space. The first value is the DAC setting, the second value is the ADC setting.
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This script gets all of those values, averages them by DAC value, and plots
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it.
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"""
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current_dac = None
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current_adc = []
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x_ax = []
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y_ax = []
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for line in out.stdout:
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l = line.split(' ')
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if l[0] != current_dac:
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if current_dac is not None:
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m = np.mean(current_adc)
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sdev = np.std(current_adc)
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print(current_dac, m, sdev)
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x_ax.append(current_dac)
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y_ax.append(m)
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current_adc = [sign_extend(int(l[1]), 18)]
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current_dac = l[0]
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else:
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current_adc.append(sign_extend(int(l[1]),18))
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df = pd.DataFrame({"x": x_ax, "y": y_ax})
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df.to_csv(f"{sys.argv[1]}.csv")
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plt.plot(df.x, df.y)
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plt.show()
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