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Original file line number | Diff line number | Diff line change |
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from Config import Input as inputConfig | ||
from Config import Mappings as mappingConfig | ||
from Config.Mappings import charOutToHumanReadableAnnotation | ||
from LogSamplePlot import Filter as fltr | ||
from LogSamplePlot import Plotter as pltr | ||
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if __name__ == "__main__": | ||
dataFilter = fltr.Filter(inputConfig.logFile, mappingConfig.wireToFloatValueMapping) | ||
dataPlotter = pltr.Plotter() | ||
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numRows, numColumns = 2, 2 | ||
nodesTotal = numRows * numColumns | ||
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# wires plots | ||
for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="WIRE", name="tx-north", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-east", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-south", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# interrupt plots | ||
for id in range(0, nodesTotal): | ||
interruptName = "LOCAL_TIME_TIMER_INTERRUPT" | ||
dataFilter.setValueMapping(mappingConfig.interruptToFloatValueMapping) | ||
pltr.addInterruptPlot(dataFilter, dataPlotter, title=("[%s] invoke" % id), nodeId=id, | ||
interruptToNumberMapping=mappingConfig.interruptToNumberMapping, | ||
facet="invoke", | ||
interruptName=interruptName) | ||
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interruptName = "TX_RX_TIMER_OVERVLOW" | ||
dataFilter.setValueMapping(mappingConfig.interruptToFloatValueMapping) | ||
pltr.addInterruptPlot(dataFilter, dataPlotter, title=("[%s] post" % id), nodeId=id, | ||
interruptToNumberMapping=mappingConfig.interruptToNumberMapping, | ||
facet="post", | ||
interruptName=interruptName) | ||
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# char out plots | ||
for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="char-out", nodeId=id) | ||
dataFilter.removeSamples(filter) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
annotations = pltr.reMapAnnotation(annotations, charOutToHumanReadableAnnotation) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# int16 out plots | ||
for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="int16-out", nodeId=id) | ||
dataFilter.removeSamples(filter) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# node state plots | ||
for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="Particle.node.state", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# approximation values plots | ||
for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="Particle.timeSynchronization.progressiveMean[3]", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="SRAM", name="Particle.timeSynchronization.mean[3]", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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dataPlotter.setWindowTitle("Network %sx%s Simulation" % (numRows, numColumns)) | ||
dataFilter.printValues() | ||
dataPlotter.plot() |
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Original file line number | Diff line number | Diff line change |
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from collections import OrderedDict | ||
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from Config.Mappings import charOutToHumanReadableAnnotation | ||
from LogSamplePlot import Plotter as pltr | ||
from LogSamplePlot import Filter as fltr | ||
from Config import Mappings as mappingConfig | ||
from Config import Input as inputConfig | ||
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if __name__ == "__main__": | ||
dataFilter = fltr.Filter(inputConfig.logFile, mappingConfig.wireToFloatValueMapping) | ||
dataPlotter = pltr.Plotter() | ||
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numRows, numColumns = 2, 3 | ||
nodesTotal = numRows * numColumns | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-south", nodeId=0) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-north", nodeId=1) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-east", nodeId=0) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-north", nodeId=2) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-south", nodeId=2) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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filter = fltr.SampleFilter(domain="WIRE", name="tx-north", nodeId=3) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# char out plots | ||
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for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="char-out", nodeId=id) | ||
dataFilter.removeSamples(filter) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
annotations = pltr.reMapAnnotation(annotations, charOutToHumanReadableAnnotation) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# int16 out plots | ||
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for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="int16-out", nodeId=id) | ||
dataFilter.removeSamples(filter) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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# node state plots | ||
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for id in range(0, nodesTotal): | ||
filter = fltr.SampleFilter(domain="SRAM", name="Particle.node.state", nodeId=id) | ||
dataFilter.filter(filter) | ||
xData, yData, annotations = dataFilter.getData(filter) | ||
dataPlotter.addPlot(xData, yData, annotations, "[%s] %s" % (filter.nodeId, filter.name)) | ||
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dataPlotter.setWindowTitle("Network %sx%s Simulation" % (numRows, numColumns)) | ||
dataFilter.printValues() | ||
dataPlotter.plot() |