def tile_jobs(Jobs):
"""Take a list of raw Job objects and find best tiling by calling tile_search"""
# We must take the raw jobs and construct a list of 4-tuples (Xdim,Ydim,job,rjob).
# This means we must construct a rotated job for each entry. We first sort all
# jobs from largest to smallest. This should give us the best tilings first so
# we can interrupt the tiling process and get a decent layout.
L = []
#sortJobs = schwartz.schwartz(Jobs, jobs.Job.jobarea)
sortJobs = schwartz.schwartz(Jobs, jobs.Job.maxdimension)
sortJobs.reverse()
for job in sortJobs:
Xdim = job.width_in()
Ydim = job.height_in()
rjob = jobs.rotateJob(job, 90) ##NOTE: This will only try 90 degree rotations though 180 & 270 are available
for count in range(job.Repeat):
L.append( (Xdim,Ydim,job,rjob) )
PX,PY = config.Config['panelwidth'],config.Config['panelheight']
if config.AutoSearchType==RANDOM_SEARCH:
tile = tilesearch2.tile_search2(L, PX, PY)
else:
tile = tilesearch1.tile_search1(L, PX, PY)
if not tile:
# add metric support (1/1000 mm vs. 1/100,000 inch)
if config.Config['measurementunits'] == 'inch':
raise RuntimeError, 'Panel size %.2f"x%.2f" is too small to hold jobs' % (PX,PY)
else:
raise RuntimeError, 'Panel size %.2fmmx%.2fmm is too small to hold jobs' % (PX,PY)
return tile
def tile_jobs(Jobs):
"""Take a list of raw Job objects and find best tiling by calling tile_search"""
# We must take the raw jobs and construct a list of 4-tuples (Xdim,Ydim,job,rjob).
# This means we must construct a rotated job for each entry. We first sort all
# jobs from largest to smallest. This should give us the best tilings first so
# we can interrupt the tiling process and get a decent layout.
L = []
#sortJobs = schwartz.schwartz(Jobs, jobs.Job.jobarea)
sortJobs = schwartz.schwartz(Jobs, jobs.Job.maxdimension)
sortJobs.reverse()
for job in sortJobs:
Xdim = job.width_in()
Ydim = job.height_in()
rjob = jobs.rotateJob(job, 90) ##NOTE: This will only try 90 degree rotations though 180 & 270 are available
for count in range(job.Repeat):
L.append( (Xdim,Ydim,job,rjob) )
PX,PY = config.Config['panelwidth'],config.Config['panelheight']
if config.AutoSearchType==RANDOM_SEARCH:
tile = tilesearch2.tile_search2(L, PX, PY)
else:
tile = tilesearch1.tile_search1(L, PX, PY)
if not tile:
# add metric support (1/1000 mm vs. 1/100,000 inch)
if config.Config['measurementunits'] == 'inch':
raise RuntimeError, 'Panel size %.2f"x%.2f" is too small to hold jobs' % (PX,PY)
else:
raise RuntimeError, 'Panel size %.2fmmx%.2fmm is too small to hold jobs' % (PX,PY)
return tile
def tile_jobs(Jobs):
"""Take a list of raw Job objects and find best tiling by calling tile_search"""
# We must take the raw jobs and construct a list of 4-tuples (Xdim,Ydim,job,rjob).
# This means we must construct a rotated job for each entry. We first sort all
# jobs from largest to smallest. This should give us the best tilings first so
# we can interrupt the tiling process and get a decent layout.
L = []
sortJobs = schwartz.schwartz(Jobs, jobs.Job.maxdimension)
sortJobs.reverse()
for job in sortJobs:
Xdim = job.width_in()
Ydim = job.height_in()
rjob = jobs.rotateJob(job, 90) # NOTE: This will only try 90 degree rotations though 180 & 270 are available
for count in range(job.Repeat):
L.append((Xdim, Ydim, job, rjob))
PX, PY = config.Config['panelwidth'], config.Config['panelheight']
if config.AutoSearchType == RANDOM_SEARCH:
tile = tile_search_random(L, PX, PY, config.Config['xspacing'], config.Config['yspacing'], config.SearchTimeout, config.RandomSearchExhaustiveJobs)
else:
tile = tile_search_exhaustive(L, PX, PY, config.Config['xspacing'], config.Config['yspacing'], config.SearchTimeout)
if not tile:
raise RuntimeError('Panel size {:.2f}"x{:.2f}" is too small to hold jobs'.format(PX, PY))
return tile