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()
script.write("set xlabel \"" + xlabel + "\"\n")
script.write("set ylabel \"" + ylabel + "\"\n")
script.write("set xtic auto\n")
script.write("set ytic auto\n")
script.write("set terminal pdf size 6, 4.5 \n")
script.write("set key outside\n")
script.write("set output \"" + plot_output + "\"\n")
def generateScatterBaseName(xjob, yjob, xfield, yfield) :
return "scatter_" + str(xjob) + "_" + xfield + "_vs_" + str(yjob) + "_" +yfield
con = mdb.connect(server, user, password, database);
with con:
cur = con.cursor()
plot_xlabel = util.getJobName(cur, xjob)
plot_ylabel = util.getJobName(cur, yjob)
plot_title = plot_xlabel + " vs " + plot_ylabel
base_name = path + generateScatterBaseName(xjob, yjob, xfield, yfield)
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, plot_title)
util.setupPdfPlot(gnuplot_file, pdf_file_name)
filtered_results = []
for result in results_and_answers :
path = result[0]
xvalue = result[1]
yvalue = result[2]
res1 = result[3]
res2 = result[4]
if (res1 != "unknown" or res2 != "unknown") :
filtered_results.append((path, xvalue, yvalue))
return filtered_results
con = mdb.connect(server, user, password, database);
with con:
cur = con.cursor()
plot_xlabel = util.getJobName(cur, xjob) + " ("+ str(xjob) + ")"
plot_ylabel = util.getJobName(cur, yjob) + " ("+ str(yjob) + ")"
plot_title = plot_xlabel + " vs " + plot_ylabel
data_file = open(data_file_name, 'w')
javascript_file = open(javascript_file_name, 'w')
gnuplot_command = cStringIO.StringIO()
util.setupPlot(gnuplot_command, plot_xlabel, plot_ylabel, plot_title)
util.setupCanvasPlot(gnuplot_command, "gnuplot_canvas")
util.startPlot(gnuplot_command)
results_and_answers = util.getRunTimesAndAnswer(cur, xjob, yjob)
results = filterUnknowns(results_and_answers)
families = util.groupByFamilies(results)
family_results = families[family]
dumpResultsToFiles(data_file, jsmap_file, family, family_results)
sys.stdout.write("\"< cat "+data_name+"\" index " + str(i) +" using 2:3 with points pt 9 pointsize 1 linecolor " + str(i) + ", ")
i = i + 1
sys.stdout.write("x with line linecolor rgb \"gray\" \n")
data_file.close()
jsmap_file.close()
def setupGnuPlot(title, xlabel, ylabel) :
sys.stdout.write("set autoscale\n")
sys.stdout.write("set title \"" + title + "\"\n")
sys.stdout.write("set xlabel \"" + xlabel + "\"\n")
sys.stdout.write("set ylabel \"" + ylabel + "\"\n")
sys.stdout.write("set xtic auto\n")
sys.stdout.write("set ytic auto\n")
sys.stdout.write("set terminal canvas size 800, 600 name \"gnuplot_canvas\"\n")
sys.stdout.write("set key outside autotitle columnheader\n")
con = mdb.connect(server, user, password, table);
with con:
cur = con.cursor()
plot_title = pu.getJobName(cur, xjob) + " vs " + pu.getJobName(cur, yjob)
plot_xlabel = "time " + pu.getJobName(cur, xjob)
plot_ylabel = "time " + pu.getJobName(cur, yjob)
results = getResults(cur, xjob, yjob)
families = pu.groupByFamilies(results)
setupGnuPlot(plot_title, plot_xlabel, plot_ylabel)
generatePlots(data_file, js_map_file, families)
con.close()
