def flush(self):
cpunames = sorted(self.cpunames)
if not self.printed_header:
ts = ["Timestamp"] if self.timestamp else []
self.writer.writerow(ts + ["Area", "Node"] + cpunames + ["Description", "Sample", "Stddev", "Multiplex"])
self.printed_header = True
for key in sorted(sorted(self.nodes.keys(), key=lambda x: x[1]), key=lambda x: x[0] == ""):
node = self.nodes[key]
ts = [convert_ts(self.timestamp)] if self.timestamp else []
l = ts + [key[0], key[1]]
vlist = []
ol = dict()
desc, sample = "", ""
for cpuname in cpunames:
if cpuname in node:
cpu = node[cpuname]
if cpu[2]:
desc = cpu[2]
desc = re.sub(r"\s+", " ", desc)
if cpu[3]:
sample = cpu[3]
# ignore remark for now
if cpu[4]:
vlist.append(cpu[4])
ol[cpuname] = float(cpu[0])
l += [ol[x] if x in ol else "" for x in cpunames]
l.append(desc)
l.append(sample)
vs = combine_valstat(vlist)
if vs:
l += (vs.stddev, vs.multiplex if not isnan(vs.multiplex) else "")
else:
l += ["", ""]
self.writer.writerow(l)
self.nodes = dict()
def flush(self):
cpunames = sorted(self.cpunames)
if not self.printed_header:
ts = ["Timestamp"] if self.timestamp else []
self.writer.writerow(ts + ["Area", "Node"] + cpunames + ["Description", "Sample", "Stddev", "Multiplex"])
self.printed_header = True
for key in sorted(sorted(self.nodes.keys(), key=lambda x: x[1]), key=lambda x: x[0] == ""):
node = self.nodes[key]
ts = [self.timestamp] if self.timestamp else []
l = ts + [key[0], key[1]]
vlist = []
ol = dict()
desc, sample = "", ""
for cpuname in cpunames:
if cpuname in node:
cpu = node[cpuname]
if cpu[2]:
desc = cpu[2]
if cpu[3]:
sample = cpu[3]
# ignore remark for now
if cpu[4]:
vlist.append(cpu[4])
ol[cpuname] = float(cpu[0])
l += [ol[x] if x in ol else "" for x in cpunames]
l.append(desc)
l.append(sample)
vs = combine_valstat(vlist)
if vs:
l += (vs.stddev, vs.multiplex if not isnan(vs.multiplex) else "")
else:
l += ["", ""]
self.writer.writerow(l)
self.nodes = dict()
def show(self, timestamp, title, area, hdr, val, remark, desc, sample, bn):
if self.args.no_desc:
desc = ""
desc = re.sub(r"\s+", " ", desc)
l = []
if timestamp:
l.append(convert_ts(timestamp))
if title:
l.append(title)
stddev = val.format_uncertainty().strip()
multiplex = val.multiplex if not isnan(val.multiplex) else ""
self.writer.writerow(l + [
hdr,
val.format_value_raw().strip(), remark, desc, sample, stddev,
multiplex, bn
])
def flush(self):
nodes = OrderedDict()
for hdr in self.headers:
for title in sorted(self.nodes.keys()):
if hdr not in self.nodes[title]:
continue
nd = self.nodes[title]
val = nd[hdr].value if isinstance(nd[hdr], UVal) else nd[hdr]
if title:
title += " "
if hdr in ("Frontend_Bound", "Backend_Bound", "BadSpeculation",
"Retiring"): # XXX
key = title + "Level1"
if key not in nodes:
nodes[key] = dict()
nodes[title + "Level1"][hdr] = val
elif hdr.count(".") >= 1:
dot = hdr.rindex(".")
nodes[title + hdr[:dot]] = {hdr: round(val, 2)}
else: # assume it's metric
nodes[title + hdr] = {hdr: val}
for name in nodes.keys():
if self.count[self.curname] == 0:
if not self.no_header:
self.logf.write("[\n")
else:
self.logf.write(",\n")
json.dump(
{
"name":
name,
"ph":
"C",
"pid":
0,
"ts":
self.timestamp /
1e6 if self.timestamp and not isnan(self.timestamp) else 0,
"args":
nodes[name]
}, self.logf)
self.count[self.curname] += 1
self.nodes = defaultdict(dict)
self.headers = OrderedDict()
def show(self, timestamp, title, area, hdr, val, unit, desc, sample, bn,
below, idle):
self.print_header(timestamp, title)
if self.args.no_desc:
desc = ""
desc = re.sub(r"\s+", " ", desc)
l = []
if timestamp:
l.append(convert_ts(timestamp))
if title:
l.append("CPU" + title if re.match(r'[0-9]+', title) else title)
stddev = val.format_uncertainty().strip()
multiplex = val.multiplex if not isnan(val.multiplex) else ""
self.writer[self.curname].writerow(l + [
hdr,
val.format_value_raw().strip(), (unit + " " + fmt_below(below)).
strip(), desc, sample, stddev, multiplex, bn, "Y" if idle else ""
])
def print_timestamp(self, timestamp):
if timestamp:
if isnan(timestamp):
self.logf.write("%-11s " % "SUMMARY")
else:
self.logf.write("%6.9f " % timestamp)
def convert_ts(ts):
if isnan(ts):
return "SUMMARY"
return ts
