freebsd-nq/contrib/cortex-strings/scripts/plot.py

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"""Plot the results for each test. Spits out a set of images into the
current directory.
"""
import libplot
import fileinput
import collections
import pprint
import pylab
Record = collections.namedtuple('Record', 'variant test size loops src_alignment dst_alignment run_id rawtime comment time bytes rate')
def unique(rows, name):
"""Takes a list of values, pulls out the named field, and returns
a list of the unique values of this field.
"""
return sorted(set(getattr(x, name) for x in rows))
def to_float(v):
"""Convert a string into a better type.
>>> to_float('foo')
'foo'
>>> to_float('1.23')
1.23
>>> to_float('45')
45
"""
try:
if '.' in v:
return float(v)
else:
return int(v)
except:
return v
def parse():
# Split the input up
rows = [x.strip().split(':') for x in fileinput.input()]
# Automatically turn numbers into the base type
rows = [[to_float(y) for y in x] for x in rows]
# Scan once to calculate the overhead
r = [Record(*(x + [0, 0, 0])) for x in rows]
bounces = pylab.array([(x.loops, x.rawtime) for x in r if x.test == 'bounce'])
fit = pylab.polyfit(bounces[:,0], bounces[:,1], 1)
records = []
for row in rows:
# Make a dummy record so we can use the names
r1 = Record(*(row + [0, 0, 0]))
bytes = r1.size * r1.loops
# Calculate the bounce time
delta = pylab.polyval(fit, [r1.loops])
time = r1.rawtime - delta
rate = bytes / time
records.append(Record(*(row + [time, bytes, rate])))
return records
def plot(records, field, scale, ylabel):
variants = unique(records, 'variant')
tests = unique(records, 'test')
colours = libplot.make_colours()
# A little hack. We want the 'all' record to be drawn last so
# that it's obvious on the graph. Assume that no tests come
# before it alphabetically
variants.reverse()
for test in tests:
for variant in variants:
v = [x for x in records if x.test==test and x.variant==variant]
v.sort(key=lambda x: x.size)
V = pylab.array([(x.size, getattr(x, field)) for x in v])
# Ensure our results appear
order = 1 if variant == 'this' else 0
try:
# A little hack. We want the 'all' to be obvious on
# the graph
if variant == 'all':
pylab.scatter(V[:,0], V[:,1]/scale, label=variant)
pylab.plot(V[:,0], V[:,1]/scale)
else:
pylab.plot(V[:,0], V[:,1]/scale, label=variant,
zorder=order, c = colours.next())
except Exception, ex:
# michaelh1 likes to run this script while the test is
# still running which can lead to bad data
print ex, 'on %s of %s' % (variant, test)
pylab.legend(loc='lower right', ncol=2, prop={'size': 'small'})
pylab.xlabel('Block size (B)')
pylab.ylabel(ylabel)
pylab.title('%s %s' % (test, field))
pylab.grid()
pylab.savefig('%s-%s.png' % (test, field), dpi=100)
pylab.semilogx(basex=2)
pylab.savefig('%s-%s-semilog.png' % (test, field), dpi=100)
pylab.clf()
def test():
import doctest
doctest.testmod()
def main():
records = parse()
plot(records, 'rate', 1024**2, 'Rate (MB/s)')
plot(records, 'time', 1, 'Total time (s)')
if __name__ == '__main__':
main()