143 def generate_datafile(datafile_name, trace, fields):  argument
145     for line in trace:
150 def generate_script_and_datafile(plot, trace, datafile, output):  argument
152   generate_datafile(datafile, trace, fields)
173 def plot_all(plots, trace, prefix):  argument
179     script = generate_script_and_datafile(plot, trace, '~datafile', outfilename)
263 def freduce(f, field, trace, init):  argument
264   return reduce(lambda t,r: f(t, r[field]), trace, init)
266 def calc_total(trace, field):  argument
267   return freduce(lambda t,v: t + long(v), field, trace, long(0))
269 def calc_max(trace, field):  argument
270   return freduce(lambda t,r: max(t, r), field, trace, 0)
272 def count_nonzero(trace, field):  argument
273   return freduce(lambda t,r: t if r == 0 else t + 1, field, trace, 0)
277   trace = gc_nvp_common.parse_gc_trace(filename)
279   marksweeps = filter(lambda r: r['gc'] == 'ms', trace)
280   scavenges = filter(lambda r: r['gc'] == 's', trace)
281   globalgcs = filter(lambda r: r['gc'] != 's', trace)
284   charts = plot_all(plots, trace, filename)
286   def stats(out, prefix, trace, field):  argument
287     n = len(trace)
288     total = calc_total(trace, field)
289     max = calc_max(trace, field)
295       dev = math.sqrt(freduce(lambda t,r: t + (r - avg) ** 2, field, trace, 0) /
312   def throughput(name, trace):  argument
313     total_live_after = calc_total(trace, 'total_size_after')
314     total_live_before = calc_total(trace, 'total_size_before')
315     total_gc = calc_total(trace, 'pause')
335     stats(out, 'Total in GC', trace, 'pause')
338     stats(out, 'Mark', filter(lambda r: r['mark'] != 0, trace), 'mark')
339     stats(out, 'Sweep', filter(lambda r: r['sweep'] != 0, trace), 'sweep')
342           filter(lambda r: r['external'] != 0, trace),
345     throughput('TOTAL', trace)