forked from Github_Repos/cvw
95 lines
2.7 KiB
Python
95 lines
2.7 KiB
Python
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#!/usr/bin/python3
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import subprocess
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import csv
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import re
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import matplotlib.pyplot as plt
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import numpy as np
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def getData():
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bashCommand = "grep 'Critical Path Length' runs/ppa_*/reports/*qor*"
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outputCPL = subprocess.check_output(['bash','-c', bashCommand])
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linesCPL = outputCPL.decode("utf-8").split('\n')[:-1]
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bashCommand = "grep 'Design Area' runs/ppa_*/reports/*qor*"
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outputDA = subprocess.check_output(['bash','-c', bashCommand])
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linesDA = outputDA.decode("utf-8").split('\n')[:-1]
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cpl = re.compile('\d{1}\.\d{6}')
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f = re.compile('_\d*_MHz')
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wm = re.compile('ppa_\w*_\d*_qor')
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da = re.compile('\d*\.\d{6}')
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allSynths = []
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for i in range(len(linesCPL)):
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line = linesCPL[i]
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mwm = wm.findall(line)[0][4:-4].split('_')
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oneSynth = [mwm[0], int(mwm[1])]
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oneSynth += [int(f.findall(line)[0][1:-4])]
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oneSynth += [float(cpl.findall(line)[0])]
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oneSynth += [float(da.findall(linesDA[i])[0])]
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allSynths += [oneSynth]
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return allSynths
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def writeCSV(allSynths):
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file = open("ppaData.csv", "w")
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writer = csv.writer(file)
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writer.writerow(['Module', 'Width', 'Target Freq', 'Delay', 'Area'])
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for one in allSynths:
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writer.writerow(one)
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file.close()
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def plotPPA(module, freq, var):
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'''
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module: string module name
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freq: int freq (GHz)
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var: string 'delay' or 'area'
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plots chosen variable vs width for all matching syntheses with regression
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'''
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global allSynths
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ind = 3 if (var == 'delay') else 4
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widths = []
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ivar = []
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for oneSynth in allSynths:
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if (oneSynth[0] == module) & (oneSynth[2] == freq):
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widths += [oneSynth[1]]
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ivar += [oneSynth[ind]]
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x = np.array(widths, dtype=np.int)
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y = np.array(ivar, dtype=np.float)
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A = np.vstack([x, np.ones(len(x))]).T
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m, c = np.linalg.lstsq(A, y, rcond=None)[0]
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z = np.polyfit(x, y, 2)
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p = np.poly1d(z)
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zlog = np.polyfit(np.log(x), y, 1)
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plog = np.poly1d(zlog)
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xp = np.linspace(0, 140, 200)
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xplog = np.log(xp)
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_ = plt.plot(x, y, 'o', label=module, markersize=10)
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_ = plt.plot(x, m*x + c, 'r', label='Linear fit')
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_ = plt.plot(xp, p(xp), label='Quadratic fit')
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_ = plt.plot(xp, plog(xplog), label = 'Log fit')
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_ = plt.legend()
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_ = plt.xlabel("Width (bits)")
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_ = plt.ylabel(str.title(var))
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_ = plt.title("Target frequency " + str(freq))
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plt.show()
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#fix square microns, picosec, end plots at 8 to stop negs, add equation to plots and R2
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# try linear term with delay as well (w and wo)
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allSynths = getData()
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writeCSV(allSynths)
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plotPPA('mult', 5000, 'delay')
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plotPPA('mult', 5000, 'area')
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plotPPA('mult', 10, 'area')
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