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src/subversion/doc/doxygen.conf  view on Meta::CPAN

DOT_TRANSPARENT        = NO

# Set the DOT_MULTI_TARGETS tag to YES allow dot to generate multiple output
# files in one run (i.e. multiple -o and -T options on the command line). This
# makes dot run faster, but since only newer versions of dot (>1.8.10)
# support this, this feature is disabled by default.

DOT_MULTI_TARGETS      = NO

# If the GENERATE_LEGEND tag is set to YES (the default) Doxygen will
# generate a legend page explaining the meaning of the various boxes and
# arrows in the dot generated graphs.

GENERATE_LEGEND        = YES

# If the DOT_CLEANUP tag is set to YES (the default) Doxygen will
# remove the intermediate dot files that are used to generate
# the various graphs.

DOT_CLEANUP            = YES

src/subversion/tools/dev/benchmarks/suite1/benchmark.py  view on Meta::CPAN

      else:
        min_str = '%7.2f|%+7.3f' % (do_div(left_min, right_min),
                                    do_diff(left_min, right_min))
        max_str = '%7.2f|%+7.3f' % (do_div(left_max, right_max),
                                    do_diff(left_max, right_max))

        s.append('%9s %-16s %-16s %-16s  %s' % (N_str, min_str, max_str, avg_str,
                                            command_name))

    s.extend([
      '(legend: "1.23|+0.45" means: slower by factor 1.23 and by 0.45 seconds;',
      ' factor < 1 and seconds < 0 means \'%s\' is faster.'
      % right_kind.label(),
      ' "2/3" means: \'%s\' has 2 timings on record, the other has 3.)'
      % left_kind.label()
      ])


    print '\n'.join(s)

src/subversion/tools/dev/wc-ng/graph-data.py  view on Meta::CPAN

x = [d[0] for d in data[1:]]
data = [d[1:] for d in data]
y = zip(*data)

l = []
for i, foo in enumerate(y):
  ln = plt.plot(x, foo[1:], linewidth=1)
  l.append(ln)

plt.figlegend(l, data[0], 'lower left')
plt.fill_between(x, 0, y[0][1:], facecolor=l[0].color)
#for i in range(0, len(y)-1):
#  plt.fill_between(x, y[i][1:], y[i+1][1:])
plt.xlabel('Revision')
plt.ylabel('Symbol Count')
plt.show()

png = open('chart2.png', 'w')
plt.savefig(png)