f82d4e2364
they're all in the same place. This also involves having just one jobfile.py and moving it into the utils directory to avoid duplication. Lots of improvements to the utility as well. --HG-- rename : src/python/m5/attrdict.py => src/python/m5/util/attrdict.py rename : util/pbs/jobfile.py => src/python/m5/util/jobfile.py rename : src/python/m5/util.py => src/python/m5/util/misc.py rename : src/python/m5/multidict.py => src/python/m5/util/multidict.py rename : util/stats/orderdict.py => src/python/m5/util/orderdict.py
88 lines
3.2 KiB
Python
88 lines
3.2 KiB
Python
# Copyright (c) 2004-2006 The Regents of The University of Michigan
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met: redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer;
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# redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution;
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# neither the name of the copyright holders nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# Authors: Steve Reinhardt
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# Nathan Binkert
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#############################
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#
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# Utility classes & methods
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#
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#############################
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class Singleton(type):
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def __call__(cls, *args, **kwargs):
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if hasattr(cls, '_instance'):
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return cls._instance
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cls._instance = super(Singleton, cls).__call__(*args, **kwargs)
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return cls._instance
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# Apply method to object.
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# applyMethod(obj, 'meth', <args>) is equivalent to obj.meth(<args>)
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def applyMethod(obj, meth, *args, **kwargs):
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return getattr(obj, meth)(*args, **kwargs)
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# If the first argument is an (non-sequence) object, apply the named
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# method with the given arguments. If the first argument is a
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# sequence, apply the method to each element of the sequence (a la
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# 'map').
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def applyOrMap(objOrSeq, meth, *args, **kwargs):
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if not isinstance(objOrSeq, (list, tuple)):
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return applyMethod(objOrSeq, meth, *args, **kwargs)
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else:
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return [applyMethod(o, meth, *args, **kwargs) for o in objOrSeq]
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def crossproduct(items):
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if not isinstance(items, (list, tuple)):
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raise AttributeError, 'crossproduct works only on sequences'
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if not items:
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yield None
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return
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current = items[0]
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remainder = items[1:]
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if not hasattr(current, '__iter__'):
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current = [ current ]
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for item in current:
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for rem in crossproduct(remainder):
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data = [ item ]
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if rem:
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data += rem
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yield data
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def flatten(items):
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if not isinstance(items, (list, tuple)):
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yield items
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return
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for item in items:
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for flat in flatten(item):
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yield flat
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