move dj_trace.py to src/ and remove debug output

1 files changed, 0 insertions, 243 deletions

diff --git a/dj_trace.py b/dj_trace.py
deleted file mode 100644
index f0861ae..0000000
--- a/dj_trace.py
+++ /dev/null
@@ -1,243 +0,0 @@
-import matplotlib.pyplot as plt
-import matplotlib.ticker as ticker
-import multiprocessing
-import numpy as np
-import os
-from urllib.request import urlretrieve
-import sys
-import re
-import shutil
-
-from benchmark import Benchmark
-
-comma_sep_number_re = "(?:\d*(?:,\d*)?)*"
-rss_re = "(?P<rss>" + comma_sep_number_re + ")"
-time_re = "(?P<time>" + comma_sep_number_re + ")"
-
-cpu_time_re = re.compile("^{} usec across.*threads$".format(time_re))
-
-max_rss_re = re.compile("^{} Kb Max RSS".format(rss_re))
-ideal_rss_re = re.compile("^{} Kb Max Ideal RSS".format(rss_re))
-
-malloc_re = re.compile("^Avg malloc time:\s*{} in.*calls$".format(time_re))
-calloc_re = re.compile("^Avg calloc time:\s*{} in.*calls$".format(time_re))
-realloc_re = re.compile("^Avg realloc time:\s*{} in.*calls$".format(time_re))
-free_re = re.compile("^Avg free time:\s*{} in.*calls$".format(time_re))
-
-class Benchmark_DJ_Trace( Benchmark ):
-    def __init__(self):
-        self.name = "dj_trace"
-        self.descrition = """This benchmark uses the workload simulator written
-                             by DJ Delorie to simulate workloads provided by him
-                             under https://delorie.com/malloc. Those workloads
-                             are generated from traces of real aaplications and are
-                             also used by delorie to measure improvements in the
-                             glibc allocator.""",
-
-        self.cmd = "build/trace_run{binary_suffix} dj_workloads/{workload}.wl"
-        self.measure_cmd = ""
-
-        self.args = {
-                        "workload" : [
-                                        "389-ds-2",
-                                        "dj",
-                                        "dj2",
-                                        "mt_test_one_alloc",
-                                        "oocalc",
-                                        "qemu-virtio",
-                                        "qemu-win7",
-                                        "proprietary-1",
-                                        "proprietary-2",
-                                      ]
-                    }
-        self.results = {
-                        "389-ds-2": {
-                            "malloc": 170500018, "calloc": 161787184,
-                            "realloc": 404134, "free": 314856324, "threads": 41},
-                        "dj": {
-                            "malloc": 2000000, "calloc": 200, "realloc": 0,
-                            "free": 2003140, "threads": 201},
-                        "dj2": {
-                            "malloc":29263321, "calloc": 3798404, "realloc":122956,
-                            "free": 32709054, "threads":36},
-                        "mt_test_one_alloc": {
-                            "malloc":524290, "calloc": 1, "realloc":0,
-                            "free":594788, "threads":2},
-                        "oocalc": {
-                            "malloc":6731734, "calloc": 38421, "realloc":14108,
-                            "free":6826686, "threads":88},
-                        "qemu-virtio": {
-                            "malloc":1772163, "calloc": 146634,
-                            "realloc":59813, "free":1954732, "threads":3},
-                        "qemu-win7": {
-                            "malloc":980904, "calloc": 225420,
-                            "realloc":89880, "free":1347825, "threads":6},
-                        "proprietary-1": {
-                            "malloc":316032131, "calloc": 5642, "realloc":84,
-                            "free":319919727, "threads":20},
-                        "proprietary-2": {
-                            "malloc":9753948, "calloc": 4693,
-                            "realloc":117, "free":10099261, "threads": 19},
-                        }
-
-        self.requirements = ["build/trace_run"]
-        super().__init__()
-
-    def prepare(self, verbose=False):
-        super().prepare(verbose=verbose)
-
-        def reporthook(blocknum, blocksize, totalsize):
-            readsofar = blocknum * blocksize
-            if totalsize > 0:
-                percent = readsofar * 1e2 / totalsize
-                s = "\r%5.1f%% %*d / %d" % (
-                percent, len(str(totalsize)), readsofar, totalsize)
-                sys.stderr.write(s)
-            else: # total size is unknown
-                sys.stderr.write("\rdownloaded %d" % (readsofar,))
-
-        if not os.path.isdir("dj_workloads"):
-            os.mkdir("dj_workloads")
-
-        for wl in self.args["workload"]:
-            file_name = wl + ".wl"
-            file_path = os.path.join("dj_workloads", file_name)
-            if not os.path.isfile(file_path):
-                if input("want to download " + wl + " [Y/n] ") in ["", "Y", "y"]:
-                    url = "http://www.delorie.com/malloc/" + file_name
-                    urlretrieve(url, file_path, reporthook)
-                    sys.stderr.write("\n")
-        return True
-
-    def process_output(self, result, stdout, stderr, target, perm, verbose):
-        def to_int(s):
-            return int(s.replace(',', ""))
-
-        regexs = {7:malloc_re ,8:calloc_re, 9:realloc_re, 10:free_re}
-        functions = {7:"malloc", 8:"calloc", 9:"realloc", 10:"free"}
-        for i, l in enumerate(stdout.splitlines()):
-            if i == 2:
-                result["cputime"] = to_int(cpu_time_re.match(l).group("time"))
-            if i == 3:
-                result["Max_RSS"] = to_int(max_rss_re.match(l).group("rss"))
-            elif i == 4:
-                result["Ideal_RSS"] = to_int(ideal_rss_re.match(l).group("rss"))
-            elif i in [7, 8, 9, 10]:
-                res = regexs[i].match(l)
-                fname = functions[i]
-                result["avg_" + fname] = to_int(res.group("time"))
-
-    def summary(self, sd=None):
-        args = self.results["args"]
-        targets = self.results["targets"]
-
-        sd = sd or ""
-
-        # Total times
-        for perm in self.iterate_args():
-            for i, target in enumerate(targets):
-                d = [float(x["cputime"]) for x in self.results[target][perm]]
-                y_val = np.mean(d)/1000
-                plt.bar([i], y_val, label=target, color=targets[target]["color"])
-
-            # ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/1000))
-            # plt.gca().yaxis.set_major_formatter(ticks_y)
-
-            plt.legend(loc="best")
-            plt.ylabel("Zeit in ms")
-            plt.title("Gesamte Laufzeit")
-            plt.savefig(os.path.join(sd, ".".join([self.name, perm.workload, "runtime", "png"])))
-            plt.clf()
-
-        # Function Times
-        xa = np.arange(0, 6, 1.5)
-        for perm in self.iterate_args():
-            for i, target in enumerate(targets):
-                x_vals = [x+i/len(targets) for x in xa]
-                y_vals = [0] * 4
-                y_vals[0] = np.mean([x["avg_malloc"] for x in self.results[target][perm]])
-                y_vals[1] = np.mean([x["avg_calloc"] for x in self.results[target][perm]])
-                y_vals[2] = np.mean([x["avg_realloc"] for x in self.results[target][perm]])
-                y_vals[3] = np.mean([x["avg_free"] for x in self.results[target][perm]])
-                plt.bar(x_vals, y_vals, width=0.25, align="center",
-                        label=target, color=targets[target]["color"])
-
-            plt.legend(loc="best")
-            plt.xticks(xa + 1/len(targets)*2, ["malloc\n" + str(self.results[perm.workload]["malloc"]) + "\ncalls",
-                            "calloc\n" + str(self.results[perm.workload]["calloc"]) + "\ncalls",
-                            "realloc\n" + str(self.results[perm.workload]["realloc"]) + "\ncalls",
-                            "free\n" + str(self.results[perm.workload]["free"]) + "\ncalls"])
-            plt.ylabel("Durchschnittliche Zeit in cycles")
-            plt.title("Durchscnittliche Laufzeiten der API Funktionen")
-            plt.savefig(os.path.join(sd, ".".join([self.name, perm.workload, "apitimes", "png"])))
-            plt.clf()
-
-        # Memusage
-        for perm in self.iterate_args():
-            for i, target in enumerate(targets):
-                d = [x["Max_RSS"] for x in self.results[target][perm]]
-                y_val = np.mean(d)/1000
-                plt.bar([i], y_val, label=target, color=targets[target]["color"])
-
-            # add ideal rss
-            y_val = self.results[list(targets.keys())[0]][perm][0]["Ideal_RSS"]/1000
-            plt.bar([len(targets)], y_val, label="Ideal RSS")
-
-            # ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/1000))
-            # plt.gca().yaxis.set_major_formatter(ticks_y)
-
-            plt.legend(loc="best")
-            plt.ylabel("Max RSS in MB")
-            plt.title("Maximal benötigter Speicher (VmHWM)")
-            plt.savefig(os.path.join(sd, ".".join([self.name, perm.workload, "rss", "png"])))
-            plt.clf()
-
-        # Tables
-        for perm in self.iterate_args():
-            # collect data
-            d = {target: {} for target in targets}
-            for i, target in enumerate(targets):
-                d[target]["time"] = [float(x["task-clock"]) for x in self.results[target][perm]]
-                d[target]["rss"] = [x["Max_RSS"] for x in self.results[target][perm]]
-
-            times = [np.mean(d[target]["time"]) for target in targets]
-            tmin = min(times)
-            tmax = max(times)
-
-            rss = [np.mean(d[target]["rss"]) for target in targets]
-            rssmin = min(rss)
-            rssmax = max(rss)
-
-            fname = os.path.join(sd, ".".join([self.name, perm.workload, "table.tex"]))
-            with open(fname, "w") as f:
-                print("\\begin{tabular}{| l | l | l |}" , file=f)
-                print("& Zeit (ms) / $\\sigma$ (\\%) & VmHWM (KB) / $\\sigma$ (\\%) \\\\", file=f)
-                print("\\hline", file=f)
-
-                for target in targets:
-                    print(target, end=" & ", file=f)
-
-                    t = d[target]["time"]
-                    m = np.mean(t)
-                    s = "\\textcolor{{{}}}{{{:.3f}}} / {:.3f}"
-                    if m == tmin:
-                        color = "green"
-                    elif m == tmax:
-                        color = "red"
-                    else:
-                        color = "black"
-                    print(s.format(color, m, np.std(t)/m), end=" & ", file=f)
-
-                    t = d[target]["rss"]
-                    m = np.mean(t)
-                    if m == rssmin:
-                        color = "green"
-                    elif m == rssmax:
-                        color = "red"
-                    else:
-                        color = "black"
-                    print(s.format(color, m, np.std(t)/m), "\\\\", file=f)
-
-                print("\end{tabular}", file=f)
-
-dj_trace = Benchmark_DJ_Trace()