From 2771abb6ed43fe78de0489a2257d48f3aac43ba7 Mon Sep 17 00:00:00 2001 From: Nathan Binkert Date: Mon, 9 Aug 2004 21:20:52 -0400 Subject: Totally re-do/reorganize the python part of the statistics code Make the database creation/removal/cleanup code use python Make formulas work with the database Add support to do some graphing, but needs more work Still need to work on vectors, 2d vectors, dists and vectordists --HG-- extra : convert_revision : 1a88320dcc036a3751e8a036770766dce76a568c --- util/stats/print.py | 127 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 127 insertions(+) create mode 100644 util/stats/print.py (limited to 'util/stats/print.py') diff --git a/util/stats/print.py b/util/stats/print.py new file mode 100644 index 000000000..f4492cd2b --- /dev/null +++ b/util/stats/print.py @@ -0,0 +1,127 @@ +all = False +descriptions = False + +class Value: + def __init__(self, value, precision, percent = False): + self.value = value + self.precision = precision + self.percent = percent + def __str__(self): + if isinstance(self.value, str): + if self.value.lower() == 'nan': + value = 'NaN' + if self.value.lower() == 'inf': + value = 'Inf' + else: + if self.precision >= 0: + format = "%%.%df" % self.precision + elif self.value == 0.0: + format = "%.0f" + elif self.value % 1.0 == 0.0: + format = "%.0f" + else: + format = "%f" + value = self.value + if self.percent: + value = value * 100.0 + value = format % value + + if self.percent: + value = value + "%" + + return value + +class Print: + def __init__(self, **vals): + self.__dict__.update(vals) + + def __str__(self): + value = Value(self.value, self.precision) + pdf = '' + cdf = '' + if self.__dict__.has_key('pdf'): + pdf = Value(self.pdf, 2, True) + if self.__dict__.has_key('cdf'): + cdf = Value(self.cdf, 2, True) + + output = "%-40s %12s %8s %8s" % (self.name, value, pdf, cdf) + + if descriptions and self.__dict__.has_key('desc') and self.desc: + output = "%s # %s" % (output, self.desc) + + return output + + def doprint(self): + if display_all: + return True + if self.value == 0.0 and (self.flags & flags_nozero): + return False + if isinstance(self.value, str): + if self.value == 'NaN' and (self.flags & flags_nonan): + return False + return True + + def display(self): + if self.doprint(): + print self + +class VectorDisplay: + def display(self): + p = Print() + p.flags = self.flags + p.precision = self.precision + + if issequence(self.value): + if not len(self.value): + return + + mytotal = reduce(lambda x,y: float(x) + float(y), self.value) + mycdf = 0.0 + + value = self.value + + if display_all: + subnames = [ '[%d]' % i for i in range(len(value)) ] + else: + subnames = [''] * len(value) + + if self.__dict__.has_key('subnames'): + for i,each in enumerate(self.subnames): + if len(each) > 0: + subnames[i] = '.%s' % each + + subdescs = [self.desc]*len(value) + if self.__dict__.has_key('subdescs'): + for i in xrange(min(len(value), len(self.subdescs))): + subdescs[i] = self.subdescs[i] + + for val,sname,sdesc in map(None, value, subnames, subdescs): + if mytotal > 0.0: + mypdf = float(val) / float(mytotal) + mycdf += mypdf + if (self.flags & flags_pdf): + p.pdf = mypdf + p.cdf = mycdf + + if len(sname) == 0: + continue + + p.name = self.name + sname + p.desc = sdesc + p.value = val + p.display() + + if (self.flags & flags_total): + if (p.__dict__.has_key('pdf')): del p.__dict__['pdf'] + if (p.__dict__.has_key('cdf')): del p.__dict__['cdf'] + p.name = self.name + '.total' + p.desc = self.desc + p.value = mytotal + p.display() + + else: + p.name = self.name + p.desc = self.desc + p.value = self.value + p.display() + -- cgit v1.2.3