print.py

来自「linux下基于c++的处理器仿真平台。具有处理器流水线」· Python 代码 · 共 156 行

# Copyright (c) 2003, 2004
# The Regents of The University of Michigan
# All Rights Reserved
#
# This code is part of the M5 simulator, developed by Nathan Binkert,
# Erik Hallnor, Steve Raasch, and Steve Reinhardt, with contributions
# from Ron Dreslinski, Dave Greene, Lisa Hsu, Kevin Lim, Ali Saidi,
# and Andrew Schultz.
#
# Permission is granted to use, copy, create derivative works and
# redistribute this software and such derivative works for any purpose,
# so long as the copyright notice above, this grant of permission, and
# the disclaimer below appear in all copies made; and so long as the
# name of The University of Michigan is not used in any advertising or
# publicity pertaining to the use or distribution of this software
# without specific, written prior authorization.
#
# THIS SOFTWARE IS PROVIDED AS IS, WITHOUT REPRESENTATION FROM THE
# UNIVERSITY OF MICHIGAN AS TO ITS FITNESS FOR ANY PURPOSE, AND WITHOUT
# WARRANTY BY THE UNIVERSITY OF MICHIGAN OF ANY KIND, EITHER EXPRESS OR
# IMPLIED, INCLUDING WITHOUT LIMITATION THE IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE REGENTS OF
# THE UNIVERSITY OF MICHIGAN SHALL NOT BE LIABLE FOR ANY DAMAGES,
# INCLUDING DIRECT, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
# DAMAGES, WITH RESPECT TO ANY CLAIM ARISING OUT OF OR IN CONNECTION
# WITH THE USE OF THE SOFTWARE, EVEN IF IT HAS BEEN OR IS HEREAFTER
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

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 isinstance(self.value, (list, tuple)):
            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()