def plotPerformanceData(csvLike, titleTemplate, outputTemplate, targetColumn, yLabel,
patternMap, params, scale=Decimal(1.0), xRange='*:*', debug=False):
"""
params :: [(pattern :: str, bsU :: str, yRange :: str|None)]
list of parameters.
"""
assert(isinstance(csvLike, CsvLike))
assert(isinstance(titleTemplate, str))
assert(isinstance(outputTemplate, str))
assert(isinstance(targetColumn, str))
assert(isinstance(yLabel, str))
assert(isinstance(patternMap, dict))
assert(isinstance(params, list))
assert(isinstance(scale, Decimal))
assert(isinstance(xRange, str))
assert(isinstance(debug, bool))
for pattern, blockSizeU, yRange in params:
title = titleTemplate % (patternMap[pattern], blockSizeU)
output = outputTemplate % (pattern, blockSizeU)
blockSizeS = str(util.u2s(blockSizeU))
if yRange is None:
yRange = '0:*'
rp = PerformancePlot(csvLike, pattern, blockSizeS,
targetColumn, yLabel, title, output,
scale, xRange, yRange, debug)
rp.plot()
def plotMultiData(relColLegList,
titleTemplate,
outputTemplate,
yLabel,
patternMap,
params,
scale=Decimal(1.0),
xRange='*:*',
debug=False):
"""
relColLegList :: [(rel, col, legend)]
rel :: Relation
col :: str
target column name
legend :: str
legend title in the plot.
Each legend must be unique in the list.
params :: [(pattern :: str, mode :: str, bsU :: str, yRange :: str|None)]
list of parameters.
"""
assert (isinstance(relColLegList, list))
assert (isinstance(titleTemplate, str))
assert (isinstance(outputTemplate, str))
assert (isinstance(yLabel, str))
assert (isinstance(patternMap, dict))
assert (isinstance(params, list))
assert (isinstance(scale, Decimal))
assert (isinstance(xRange, str))
assert (isinstance(debug, bool))
for pattern, mode, bsU, yRange in params:
title = titleTemplate % (patternMap[pattern], mode, bsU)
output = outputTemplate % (pattern, mode, bsU)
bsS = str(util.u2s(bsU))
if yRange is None:
yRange = '0:*'
rp = MultiPlot(relColLegList, pattern, mode, bsS, yLabel, title,
output, scale, xRange, yRange, debug)
rp.plot()
pass
def plotMultiData(relColLegList, titleTemplate, outputTemplate,
yLabel, patternMap,
params, scale=Decimal(1.0), xRange='*:*', debug=False):
"""
relColLegList :: [(rel, col, legend)]
rel :: Relation
col :: str
target column name
legend :: str
legend title in the plot.
Each legend must be unique in the list.
params :: [(pattern :: str, mode :: str, bsU :: str, yRange :: str|None)]
list of parameters.
"""
assert(isinstance(relColLegList, list))
assert(isinstance(titleTemplate, str))
assert(isinstance(outputTemplate, str))
assert(isinstance(yLabel, str))
assert(isinstance(patternMap, dict))
assert(isinstance(params, list))
assert(isinstance(scale, Decimal))
assert(isinstance(xRange, str))
assert(isinstance(debug, bool))
if len(params) == 0:
raise "params list is empty."
for pattern, mode, bsU, yRange in params:
title = titleTemplate % (patternMap[pattern], mode, bsU)
output = outputTemplate % (pattern, mode, bsU)
bsS = str(util.u2s(bsU))
if yRange is None:
yRange = '0:*'
rp = MultiPlot(relColLegList, pattern, mode, bsS,
yLabel, title, output,
scale, xRange, yRange, debug)
rp.plot()
pass
def plotPerformanceData(csvLike,
titleTemplate,
outputTemplate,
targetColumn,
yLabel,
patternMap,
params,
scale=Decimal(1.0),
xRange='*:*',
debug=False):
"""
params :: [(pattern :: str, bsU :: str, yRange :: str|None)]
list of parameters.
"""
assert (isinstance(csvLike, CsvLike))
assert (isinstance(titleTemplate, str))
assert (isinstance(outputTemplate, str))
assert (isinstance(targetColumn, str))
assert (isinstance(yLabel, str))
assert (isinstance(patternMap, dict))
assert (isinstance(params, list))
assert (isinstance(scale, Decimal))
assert (isinstance(xRange, str))
assert (isinstance(debug, bool))
for pattern, blockSizeU, yRange in params:
title = titleTemplate % (patternMap[pattern], blockSizeU)
output = outputTemplate % (pattern, blockSizeU)
blockSizeS = str(util.u2s(blockSizeU))
if yRange is None:
yRange = '0:*'
rp = PerformancePlot(csvLike, pattern, blockSizeS, targetColumn,
yLabel, title, output, scale, xRange, yRange,
debug)
rp.plot()
def setBsU(self, bsU):
assert(isinstance(bsU, str))
assert(isinstance(util.u2s(bsU), int))
self.__bsU = bsU
self.__bs = util.u2s(bsU)
def blockSizeUnitListCheck(self):
self.checkParamList('blockSizeUnitList', str)
for bsU in self.blockSizeUnitList():
bs = util.u2s(bsU)
checkAndThrow(isinstance(bs, int), 'bs must be int.')
checkAndThrow(bs > 0, 'bs must > 0.')
for bsU in blockSizeUnitList for nth in nThreadsList
for width in widthList]
def histogramG(f):
for line in f:
rec = line.rstrip().split()
yield (Decimal(rec[0]), int(rec[1]))
for plotDir, outDir in zip(plotDirList, outDirList):
if not os.path.exists(outDir):
os.makedirs(outDir)
for pattern, mode, bsU, nth, width in paramsList:
fn = '%s/%s/%s/%s/%s/histogram_%s' % \
(plotDir, pattern, mode, nth, str(util.u2s(bsU)), width)
title = 'Histogram with %s %s, blocksize %s, nThreads %s, width %s' % \
(patternMap[pattern], mode, bsU, nth, width)
outputFile = outFileTemplate % (pattern, mode, bsU, nth, width)
output = "%s/%s" % (outDir, outputFile)
f = open(fn)
hp = HistogramPlot(histogramG(f),
width,
title,
output,
debug=False)
hp.plot()
f.close()
if __name__ == "__main__":
def blockSizeUnitListCheck(self):
self.checkParamList('blockSizeUnitList', str)
for bsU in self.blockSizeUnitList():
bs = util.u2s(bsU)
checkAndThrow(isinstance(bs, int), 'bs must be int.')
checkAndThrow(bs > 0, 'bs must > 0.')
paramsList = [(pattern, mode, bsU, nth, width)
for (pattern, mode) in patternModeList
for bsU in blockSizeUnitList
for nth in nThreadsList
for width in widthList]
def histogramG(f):
for line in f:
rec = line.rstrip().split()
yield (Decimal(rec[0]), int(rec[1]))
for plotDir, outDir in zip(plotDirList, outDirList):
if not os.path.exists(outDir):
os.makedirs(outDir)
for pattern, mode, bsU, nth, width in paramsList:
fn = '%s/%s/%s/%s/%s/histogram_%s' % \
(plotDir, pattern, mode, nth, str(util.u2s(bsU)), width)
title = 'Histogram with %s %s, blocksize %s, nThreads %s, width %s' % \
(patternMap[pattern], mode, bsU, nth, width)
outputFile = outFileTemplate % (pattern, mode, bsU, nth, width)
output = "%s/%s" % (outDir, outputFile)
f = open(fn)
hp = HistogramPlot(histogramG(f), width, title, output, debug=False)
hp.plot()
f.close()
if __name__ == "__main__":
doMain()
