with con:
cur = con.cursor()
plot_xlabel = "benchmarks solved"
plot_ylabel = "cummulative time"
gnuplot_command = cStringIO.StringIO()
data_file = open(data_file_name, 'w')
util.setupPlot(gnuplot_command, plot_xlabel, plot_ylabel, "")
util.setupCanvasPlot(gnuplot_command, "gnuplot_canvas")
util.setupCactusPlot(gnuplot_command)
util.startPlot(gnuplot_command)
for i in range(len(job_ids)) :
job_id = job_ids[i]
result_i = util.getSortedResults(cur, job_id)
util.dumpCactusToFile(data_file, util.getJobName(cur, job_id), result_i)
for i in range(len(job_ids)) :
util.plotOneCactus(gnuplot_command, data_file_name, i, 1, 2)
if ( i < len(job_ids) - 1) :
util.plotSeparator(gnuplot_command)
data_file.close()
val = gnuplot_command.getvalue()
print val
con.close()
base_name = path + generateCactusBaseName(job_ids)
gnuplot_file_name = base_name + ".gnuplot"
gnuplot_file = open(gnuplot_file_name, 'w')
data_file_name = base_name + ".dat"
data_file = open(data_file_name, 'w')
pdf_file_name = base_name + ".pdf"
util.setupPlot(gnuplot_file, plot_xlabel, plot_ylabel, "")
util.setupPdfPlot(gnuplot_file, pdf_file_name)
util.setupCactusPlot(gnuplot_file)
util.startPlot(gnuplot_file)
for i in range(len(job_ids)) :
job_id = job_ids[i]
result_i = util.getSortedResults(cur, job_id)
util.dumpCactusToFile(data_file, util.getJobName(cur, job_id), result_i)
for i in range(len(job_ids)) :
util.plotOneCactus(gnuplot_file, data_file_name, i, 1, 2)
if ( i < len(job_ids) - 1) :
util.plotSeparator(gnuplot_file)
data_file.close()
gnuplot_file.close()
con.close()
