def model_bnb_latextable():
LatexProcessor('20100820MODELBNB').process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.chi'],
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def dsatur_latextable():
LatexProcessor('20100701DSATURS1M').process(
ids=[metrics.FileName()],
datas=[metrics.FloatMetric('solution.chi', "{0:.1f}"), metrics.FloatMetric('solution.found', "{0:.3f}")],
series=['strategy.coloring', 'dsatur.partition.weight.size', 'dsatur.partition.weight.colorCount', 'dsatur.partition.weight.uncolored'],
datafilter= {'dsatur.partition.weight.size':'1', 'dsatur.partition.weight.colorCount':'10000', 'dsatur.partition.weight.uncolored':'100'},
runfilter= None,
aggr= aggregate.avg
)
def model_latextable(p):
p.process(
ids=[metrics.FileName()],
datas=['solution.gap','cuts.niters','solution.time'],
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective'],
datafilter= {'strategy.adjacency': 'AdjacentsNeighbourhood', 'strategy.colorBound': 'UpperNodesSum', 'strategy.partition': 'PaintExactlyOne', 'strategy.objective': 'Equal', 'model.adjacentsNeighbourhood.useCliqueCover':'true'},
runfilter= None,
aggr= aggregate.avg
)
def branch_latextable():
LatexProcessor('20100707BRANCHSTATIC2').process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.gapfound', 'solution.nnodes'],
series=['branch.prios.enabled', 'branch.prios.psadjacent', 'branch.prios.colorindex'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def primal_dsatur_branch_runs():
file = '20110313PRIMALDSATURBRANCH'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['coloring.initial.chi',metrics.UbImprovement(), 'solution.gap'],
series=['primal.enabled', 'solver.useCplexPrimalHeuristic', 'primal.dsatur.coloring', 'coloring.primal.maxTime', 'coloring.primal.maxSolutions'],
datafilter= {'primal.dsatur.coloring': 'DSaturEasyNode'},
runfilter= None,
aggr= aggregate.concat
)
def bnc_emph_latextable():
file = '20100813EMPH'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.nnodes','solution.time','solution.gap'],
series=['solver.mipEmphasis'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def bnc_probing_latextable():
file = '20100813PROBING'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.nnodes','solution.time','solution.gap'],
series=['solver.probing'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def branch_bounds_latextable():
branchbounds = '20100714BRANCHDSATURBOUNDS'
LatexProcessor(branchbounds).process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.gapfound', 'solution.nnodes'],
series=['branch.singlevar', 'branch.boundws'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def cuts_iset_latextable():
file = '20100722PATHHOLECUTS'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap','cuts.niters','solution.time'],
series=['cuts.iset.usePathsAlgorithm', 'cuts.iset.useBreakingSymmetry'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def cuts_blockcolor_latextable():
file = '20100726BLOCKCOLOR2'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap','cuts.niters','solution.time'],
series=['blockColor.enabled','blockColor.usePool'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def cuts_clique_latextable():
file = '20100722CLIQUECUTS'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap','cuts.niters','solution.time'],
series=['clique.colorsAsc', 'clique.backtrackBrokenIneqs', 'clique.backtrackLastCandidate'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def branch_sos_latextable():
branchbounds = '20100713BRANCHSOS'
LatexProcessor(branchbounds).process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.gapfound', 'solution.nnodes'],
series=['model.useSOS', 'branch.prios.enabled', 'branch.prios.psadjacent', 'branch.prios.colorindex'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def preprocess_latextable():
file = '20100720PREPROC2'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=[metrics.PreprocessRemoved('partitions'), metrics.PreprocessRemoved('nodes'), metrics.PreprocessRemoved('edges')],
series=['solver.kind'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def primal_static_3_ub():
file = '20110219PRIMALSTATIC3'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['coloring.initial.chi',metrics.UbImprovement(), 'solution.gap'],
series=['primal.enabled', 'solver.useCplexPrimalHeuristic', 'primal.dsatur.coloring', 'coloring.primal.maxTime'],
datafilter= {'primal.dsatur.coloring': 'DSaturEasyNode', 'coloring.primal.maxTime': '200'},
runfilter= None,
aggr= aggregate.concat
)
def primal_dsaturbranch_ub():
file = '20110313DSATURBRANCH'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.time', 'solution.nnodes', 'solution.primalheur.time', 'solution.primalheur.success.count', 'solution.primalheur.unsuccess.count' ],
series=['primal.enabled', 'solver.useCplexPrimalHeuristic', 'primal.dsatur.coloring', 'coloring.primal.maxTime'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def primal_settings_latextable():
file = '20100720PRIMALSET'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap', metrics.Ks('solution.gapfound'), metrics.Ks('solution.nnodes')],
series=['primal.enabled', 'solver.useCplexPrimalHeuristic', 'primal.onlyonup', 'branch.direction', 'primal.everynodes'],
datafilter= {'branch.direction': '0'},
runfilter= None,
aggr= aggregate.avg
)
def models_graphs_colorbound():
#idx 1
GnuPlotGapsProcessor('20100629MODELS').process(
ids=[metrics.FileName()],
datas=['data.filename', 'solution.gap','cuts.niters','solution.time'],
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective'],
datafilter= { 'strategy.adjacency': 'AdjacentsNeighbourhood', 'strategy.symmetry': 'UseLowerLabelFirst', 'strategy.partition': 'PaintExactlyOne', 'strategy.objective': 'Equal', 'model.adjacentsNeighbourhood.useCliqueCover':'true'},
runfilter= None,
aggr= aggregate.concat
)
def bnc_primal_freq_latextable():
file = '20110131BNCPRIMALFREQ'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.time', 'solution.nnodes'],
series=['primal.enabled', 'primal.everynodes', 'primal.onlyonup', 'primal.runoncutcallback', 'cuts.onlyonup'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def bnc_pruning_latextable():
file = '20100805PRUNINGNOUB'
file2 = '20100803PRUNINGWITHUB'
LatexProcessor(file2).process(
ids=[metrics.FileName()],
datas=['solution.leafheur.count','solution.nnodes','solution.time','solution.gap'],
series=['pruning.enabled', 'pruning.remaining', 'primal.useub'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def bnc_models_fix_latextable():
fileh = '20100901BNCMODELHIGHFIXVN'
LatexProcessor(fileh).process(
ids=[metrics.FileName()],
datas=['solution.chi','solution.nnodes','solution.time','solution.gap'],
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective', 'solver.probing', 'solver.mipEmphasis'],
datafilter= None,
runfilter= None,
aggr= aggregate.concat
)
fileh = '20100826BNCMHIGH2'
LatexProcessor(fileh).process(
ids=[metrics.FileName()],
datas=['data.filename', 'run.filename'],
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective', 'solver.probing', 'solver.mipEmphasis'],
datafilter= None,
runfilter= None,
aggr= aggregate.concat
)
def branch_static_manual_latextable():
file = '20101215BRANCHSTATIC3'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.gapfound', 'solution.nnodes'],
series=['branch.prios.enabled', 'branch.prios.psadjacent', 'branch.prios.colorindex'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def model_bnc_lowdens_runs():
file = '20110313BNCMODELLOW'
file = '20110410BNCMODELLOWEXT'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap','solution.time','solution.nnodes'],
series=['branch.dynamic.dsatur', 'primal.enabled','solver.probing','strategy.colorBound','strategy.partition','strategy.symmetry'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def primal_latextable():
file = '20100720PRIMAL'
filestatic = '20100723PRIMALSTATIC2'
LatexProcessor(filestatic).process(
ids=[metrics.FileName()],
datas=['solution.gap', metrics.Ks('solution.gapfound'), metrics.Ks('solution.nnodes')],
series=[ 'branch.dynamic.dsatur','primal.enabled', 'solver.useCplexPrimalHeuristic', 'primal.onlyonup', 'branch.direction'],
datafilter= {'branch.dynamic.dsatur': 'false'},
runfilter= None,
aggr= aggregate.avg
)
def cuts_families_latextable():
file = '20100726CUTSFAMILIES2'
time_data = ['solution.gap','cuts.niters','solution.time']
number_data = [metrics.CutMetric('BlockColor'), metrics.CutMetric('Clique'), metrics.CutMetric('Hole'), metrics.CutMetric('Path'), metrics.CutMetric('GPHole'), metrics.CutMetric('GPPath')]
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=number_data,
series=['blockColor.enabled','clique.enabled', 'path.enabled', 'gprime.path.enabled','solver.useCplexCuttingPlanes'],
datafilter= {'blockColor.enabled': 'true', 'path.enabled': 'true', 'gprime.path.enabled': 'true'},
runfilter= None,
aggr= aggregate.avg
)
def bnc_models_latextable():
filel = '20100826BNCMLOW2'
fileh = '20100902BNCMHIGH2FIXED'
LatexProcessor(filel).process(
ids=[metrics.FileName()],
datas=['solution.chi','solution.nnodes','solution.time','solution.gap'],
datafilter= None,
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective', 'solver.probing', 'solver.mipEmphasis'],
runfilter= None,
aggr= aggregate.avg
)
LatexProcessor(fileh).process(
ids=[metrics.FileName()],
datas=['solution.chi','solution.nnodes','solution.time','solution.gap'],
series=['strategy.partition', 'strategy.adjacency', 'strategy.symmetry', 'strategy.colorBound', 'strategy.objective', 'solver.probing', 'solver.mipEmphasis'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def model_bnc_highdens_runs():
file = '20110313BNCMODELHIGH'
file = '20110414BNCHIGHDENSEXT'
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.chi', 'solution.gap', 'solution.time'],
series=['strategy.colorBound','strategy.adjacency','strategy.symmetry'],
datafilter= None,
runfilter= None,
aggr= aggregate.concat
)
def cuts_iters_runs():
files = ['20110412LOWDENSCUTS','20110414HIGHDENSCUTSS3','20110414HIGHDENSCUTSS5']
for file in files:
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.chi', 'solution.gap', 'solution.time'],
series=['cuts.iterations.root.max', 'cuts.iterations.nodes.max', 'cuts.local','cuts.maxdepth'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def branch_dyn_latextable():
branchdyn2 = '20100713BRANCHDYN2'
branchdyn3 = '20100715BRANCHDYN3'
branchdyn5 = '20100719BRANCHDYN5'
LatexProcessor(branchdyn5).process(
ids=[metrics.FileName()],
datas=['solution.gap', metrics.Ks('solution.gapfound'), metrics.Ks('solution.nnodes')],
series=['branch.dynamic.fractional', 'branch.dynamic.dsatur', 'branch.direction', 'branch.dynamic.fractional.most', 'branch.dynamic.dsatur.conseccolors', 'solver.useCplexPrimalHeuristic'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
def final_bnc_runs():
files = ['20110419LOWDENSFINAL', '20110419HIGHDENSFINAL']
fileshk = ['20110427LOWDENSFINALHK','20110427HIGHDENSFINALHK']
for file in fileshk:
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.chi', 'solution.lb'],
series=['strategy.colorBound','strategy.adjacency','strategy.symmetry'],
datafilter= None,
runfilter= None,
aggr= aggregate.concat
)
def bnc_pruning():
#files = ['20110228PRUNINGPRIMALNOUBP1', '20110228PRUNINGPRIMALNOUB2', '20110228PRUNINGP1', '20110228PRUNING2' ]
files = ['20110308PRUNINGREMAINING']
for file in files:
print "\n\n"
LatexProcessor(file).process(
ids=[metrics.FileName()],
datas=['solution.gap', 'solution.time', 'solution.nnodes', 'solution.leafheur.count','solution.primalheur.success.count', 'solution.primalheur.unsuccess.count' ],
series=['pruning.enabled', 'pruning.frac', 'pruning.useub', 'primal.useub'],
datafilter= None,
runfilter= None,
aggr= aggregate.avg
)
