Small fixes
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@@ -24,6 +24,7 @@ def memory_utilisation_window(connection, tracePath, steps):
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cursor = connection.cursor()
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cursor.execute(" SELECT time FROM Power WHERE averagePower = 0 ")
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#pow(10,12): seconds to picoseconds conversion
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windowSize = pow(10,12)*float(cursor.fetchone()[0])
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# All possible cases of data transfers inside a time window
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queryFull = """ SELECT sum(DataStrobeEnd - DataStrobeBegin) FROM transactions Where DataStrobeBegin > ? and DataStrobeEnd < ?""" # The data transfer begins and ends inside the time window
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@@ -72,13 +73,14 @@ def memory_utilisation_window(connection, tracePath, steps):
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import numpy as np
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from matplotlib.backends.backend_pdf import PdfPages
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time = np.arange(0, (steps+1)*windowSize, windowSize)
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#windowSize/1000: picoseconds to nanoseconds conversion
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time = np.arange(0, (steps+1)*windowSize/1000, windowSize/1000)
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plt.figure()
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subplotIndex = 211
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plt.subplot(subplotIndex)
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plt.plot(time/1000, bandwidthPercentage)
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plt.plot(time, bandwidthPercentage)
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plt.xlabel('Time (ns)')
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plt.ylabel('Bandwidth (%)')
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plt.ylim(-1, maximumPercentage + (10 - maximumPercentage%10))
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@@ -117,6 +119,7 @@ def power_window(connection, tracePath, steps):
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power[0] = 0
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for i in range((steps)):
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result = cursor.fetchone()
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#pow(10,9): seconds to nanoseconds conversion
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time[i+1] = float(result[0])*pow(10,9)
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power[i+1] = float(result[1])
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@@ -169,6 +172,7 @@ def generatePlots(pathToTrace):
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cursor.execute(" SELECT TraceEnd FROM GeneralInfo ")
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traceEnd = float(cursor.fetchone()[0])
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cursor.execute(" SELECT min(time) FROM Power WHERE averagePower = 0")
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#pow(10,12): seconds to picoseconds conversion
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windowSize = pow(10,12)*float(cursor.fetchone()[0])
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steps = ceil(traceEnd/windowSize)
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for p in plots:
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