fc64ab8102
Fix up configuration scrupts to have better support for running on the simulation pool. --HG-- extra : convert_revision : 0178c8600b193d6c0ca69163fb735a7fa0e70782
84 lines
3.1 KiB
Python
84 lines
3.1 KiB
Python
# Copyright (c) 2005 The Regents of The University of Michigan
|
|
# All rights reserved.
|
|
#
|
|
# Redistribution and use in source and binary forms, with or without
|
|
# modification, are permitted provided that the following conditions are
|
|
# met: redistributions of source code must retain the above copyright
|
|
# notice, this list of conditions and the following disclaimer;
|
|
# redistributions in binary form must reproduce the above copyright
|
|
# notice, this list of conditions and the following disclaimer in the
|
|
# documentation and/or other materials provided with the distribution;
|
|
# neither the name of the copyright holders nor the names of its
|
|
# contributors may be used to endorse or promote products derived from
|
|
# this software without specific prior written permission.
|
|
#
|
|
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
|
|
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
|
|
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
|
|
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
|
|
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
|
|
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
|
|
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
|
|
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
|
|
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
|
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
#
|
|
# Authors: Nathan Binkert
|
|
|
|
from os.path import expanduser
|
|
def crossproduct(options):
|
|
number = len(options)
|
|
indexes = [ 0 ] * number
|
|
maxes = [ len(opt) for opt in options ]
|
|
def next():
|
|
for i in xrange(number - 1, -1, -1):
|
|
indexes[i] += 1
|
|
if indexes[i] < maxes[i]:
|
|
return False
|
|
|
|
indexes[i] = 0
|
|
return True
|
|
|
|
done = False
|
|
while not done:
|
|
result = []
|
|
for i in xrange(number):
|
|
result.append(options[i][indexes[i]])
|
|
yield result
|
|
done = next()
|
|
|
|
class JobFile(object):
|
|
def __init__(self, file):
|
|
self.data = {}
|
|
execfile(expanduser(file), self.data)
|
|
self.options = self.data['options']
|
|
self.environment = self.data['environment']
|
|
self.jobinfo = {}
|
|
self.jobs = []
|
|
for job in crossproduct(self.options):
|
|
jobname = '.'.join([ id[0] for id in job ])
|
|
self.jobs.append(jobname)
|
|
list = []
|
|
for info in job:
|
|
for item in info[1:]:
|
|
list.append(item)
|
|
self.jobinfo[jobname] = list
|
|
|
|
def env(self, jobname):
|
|
env = {}
|
|
for key,val in self.jobinfo[jobname]:
|
|
env[key] = val
|
|
|
|
for key,val in self.environment:
|
|
env[key] = val
|
|
return env
|
|
|
|
def printinfo(self, jobname):
|
|
print '%s:' % jobname
|
|
for key,val in self.jobinfo[jobname]:
|
|
print ' %s = %s' % (key, val)
|
|
|
|
for key,val in self.environment:
|
|
print ' %s = %s' % (key, val)
|