mirror of https://github.com/rusefi/gerbmerge.git
251 lines
8.7 KiB
Python
251 lines
8.7 KiB
Python
#!/usr/bin/env python
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"""Search for an optimum tiling using brute force exhaustive search
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--------------------------------------------------------------------
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This program is licensed under the GNU General Public License (GPL)
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Version 3. See http://www.fsf.org for details of the license.
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Rugged Circuits LLC
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http://ruggedcircuits.com/gerbmerge
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"""
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import sys
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import time
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import config
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import tiling
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import gerbmerge
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_StartTime = 0.0 # Start time of tiling
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_CkpointTime = 0.0 # Next time to print stats
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_Placements = 0 # Number of placements attempted
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_PossiblePermutations = 0 # Number of different ways of ordering jobs
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_Permutations = 0 # Number of different job orderings already computed
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_TBestTiling = None # Best tiling so far
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_TBestScore = float(sys.maxsize) # Smallest area so far
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_PrintStats = 1 # Print statistics every 3 seconds
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def printTilingStats():
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global _CkpointTime
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_CkpointTime = time.time() + 3
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if _TBestTiling:
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area = _TBestTiling.area()
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utilization = _TBestTiling.usedArea() / area * 100.0
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else:
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area = 999999.0
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utilization = 0.0
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percent = 100.0*_Permutations/_PossiblePermutations
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# add metric support (1/1000 mm vs. 1/100,000 inch)
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if config.Config['measurementunits'] == 'inch':
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print("\r %5.2f%% complete / %ld/%ld Perm/Place / Smallest area: %.1f sq. in. / Best utilization: %.1f%%" % \
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(percent, _Permutations, _Placements, area, utilization), end=' ')
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else:
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print("\r %5.2f%% complete / %ld/%ld Perm/Place / Smallest area: %.1f sq. mm / Best utilization: %.1f%%" % \
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(percent, _Permutations, _Placements, area, utilization), end=' ')
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if gerbmerge.GUI is not None:
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sys.stdout.flush()
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def bestTiling():
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return _TBestTiling
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def _tile_search1(Jobs, TSoFar, firstAddPoint, cfg=config.Config):
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"""This recursive function does the following with an existing tiling TSoFar:
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* For each 4-tuple (Xdim,Ydim,job,rjob) in Jobs, the non-rotated 'job' is selected
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* For the non-rotated job, the list of valid add-points is found
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* For each valid add-point, the job is placed at this point in a new,
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cloned tiling.
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* The function then calls its recursively with the remaining list of
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jobs.
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* The rotated job is then selected and the list of valid add-points is
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found. Again, for each valid add-point the job is placed there in
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a new, cloned tiling.
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* Once again, the function calls itself recursively with the remaining
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list of jobs.
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* The best tiling encountered from all recursive calls is returned.
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If TSoFar is None it means this combination of jobs is not tileable.
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The side-effect of this function is to set _TBestTiling and _TBestScore
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to the best tiling encountered so far. _TBestTiling could be None if
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no valid tilings have been found so far.
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"""
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global _StartTime, _CkpointTime, _Placements, _TBestTiling, _TBestScore, _Permutations, _PrintStats
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if not TSoFar:
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return (None, float(sys.maxsize))
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if not Jobs:
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# Update the best tiling and score. If the new tiling matches
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# the best score so far, compare on number of corners, trying to
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# minimize them.
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score = TSoFar.area()
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if score < _TBestScore:
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_TBestTiling,_TBestScore = TSoFar,score
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elif score == _TBestScore:
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if TSoFar.corners() < _TBestTiling.corners():
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_TBestTiling,_TBestScore = TSoFar,score
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_Placements += 1
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if firstAddPoint:
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_Permutations += 1
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return
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xspacing = cfg['xspacing']
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yspacing = cfg['yspacing']
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minInletSize = tiling.minDimension(Jobs)
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TSoFar.removeInlets(minInletSize)
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for job_ix in range(len(Jobs)):
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# Pop off the next job and construct remaining_jobs, a sub-list
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# of Jobs with the job we've just popped off excluded.
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Xdim,Ydim,job,rjob = Jobs[job_ix]
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remaining_jobs = Jobs[:job_ix]+Jobs[job_ix+1:]
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if 0:
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print("Level %d (%s)" % (level, job.name))
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TSoFar.joblist()
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for J in remaining_jobs:
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print(J[2].name, ", ", end=' ')
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print()
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print('-'*75)
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# Construct add-points for the non-rotated and rotated job.
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# As an optimization, do not construct add-points for the rotated
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# job if the job is a square (duh).
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addpoints1 = TSoFar.validAddPoints(Xdim+xspacing,Ydim+yspacing) # unrotated job
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if Xdim != Ydim:
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addpoints2 = TSoFar.validAddPoints(Ydim+xspacing,Xdim+yspacing) # rotated job
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else:
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addpoints2 = []
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# Recursively construct tilings for the non-rotated job and
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# update the best-tiling-so-far as we do so.
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if addpoints1:
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for ix in addpoints1:
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# Clone the tiling we're starting with and add the job at this
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# add-point.
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T = TSoFar.clone()
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T.addJob(ix, Xdim+xspacing, Ydim+yspacing, job)
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# Recursive call with the remaining jobs and this new tiling. The
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# point behind the last parameter is simply so that _Permutations is
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# only updated once for each permutation, not once per add-point.
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# A permutation is some ordering of jobs (N! choices) and some
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# ordering of non-rotated and rotated within that ordering (2**N
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# possibilities per ordering).
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_tile_search1(remaining_jobs, T, firstAddPoint and ix==addpoints1[0])
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elif firstAddPoint:
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# Premature prune due to not being able to put this job anywhere. We
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# have pruned off 2^M permutations where M is the length of the remaining
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# jobs.
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_Permutations += 2**len(remaining_jobs)
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if addpoints2:
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for ix in addpoints2:
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# Clone the tiling we're starting with and add the job at this
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# add-point. Remember that the job is rotated so swap X and Y
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# dimensions.
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T = TSoFar.clone()
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T.addJob(ix, Ydim+xspacing, Xdim+yspacing, rjob)
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# Recursive call with the remaining jobs and this new tiling.
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_tile_search1(remaining_jobs, T, firstAddPoint and ix==addpoints2[0])
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elif firstAddPoint:
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# Premature prune due to not being able to put this job anywhere. We
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# have pruned off 2^M permutations where M is the length of the remaining
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# jobs.
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_Permutations += 2**len(remaining_jobs)
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# If we've been at this for 3 seconds, print some status information
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if _PrintStats and time.time() > _CkpointTime:
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printTilingStats()
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# Check for timeout - changed to file config
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if (config.Config['searchtimeout'] > 0) and ((time.time() - _StartTime) > config.Config['searchtimeout']):
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raise KeyboardInterrupt
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gerbmerge.updateGUI("Performing automatic layout...")
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# end for each job in job list
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def factorial(N):
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if (N <= 1): return 1
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prod = int(N)
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while (N > 2):
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N -= 1
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prod *= N
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return prod
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def initialize(printStats=1):
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global _StartTime, _CkpointTime, _Placements, _TBestTiling, _TBestScore, _Permutations, _PossiblePermutations, _PrintStats
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_PrintStats = printStats
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_Placements = 0
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_Permutations = 0
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_TBestTiling = None
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_TBestScore = float(sys.maxsize)
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def tile_search1(Jobs, X, Y):
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"""Wrapper around _tile_search1 to handle keyboard interrupt, etc."""
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global _StartTime, _CkpointTime, _Placements, _TBestTiling, _TBestScore, _Permutations, _PossiblePermutations
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initialize()
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_StartTime = time.time()
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_CkpointTime = _StartTime + 3
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# There are (2**N)*(N!) possible permutations where N is the number of jobs.
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# This is assuming all jobs are unique and each job has a rotation (i.e., is not
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# square). Practically, these assumptions make no difference because the software
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# currently doesn't optimize for cases of repeated jobs.
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_PossiblePermutations = (2**len(Jobs))*factorial(len(Jobs))
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#print "Possible permutations:", _PossiblePermutations
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print('='*70)
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print("Starting placement using exhaustive search.")
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print("There are %ld possible permutations..." % _PossiblePermutations, end=' ')
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if _PossiblePermutations < 1e4:
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print("this'll take no time at all.")
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elif _PossiblePermutations < 1e5:
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print("surf the web for a few minutes.")
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elif _PossiblePermutations < 1e6:
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print("take a long lunch.")
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elif _PossiblePermutations < 1e7:
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print("come back tomorrow.")
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else:
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print("don't hold your breath.")
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print("Press Ctrl-C to stop and use the best placement so far.")
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print("Estimated maximum possible utilization is %.1f%%." % (tiling.maxUtilization(Jobs)*100))
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try:
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_tile_search1(Jobs, tiling.Tiling(X,Y), 1)
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printTilingStats()
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print()
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except KeyboardInterrupt:
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printTilingStats()
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print()
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print("Interrupted.")
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computeTime = time.time() - _StartTime
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print("Computed %ld placements in %d seconds / %.1f placements/second" % (_Placements, computeTime, _Placements/computeTime))
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print('='*70)
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return _TBestTiling
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