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makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'agricola-opt18-strips', 'airport', 'barman-opt11-strips',
'barman-opt14-strips', 'blocks', 'childsnack-opt14-strips',
'data-network-opt18-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'organic-synthesis-opt18-strips',
'organic-synthesis-split-opt18-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'petri-net-alignment-opt18-strips',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-small', 'rovers',
'satellite', 'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'snake-opt18-strips', 'sokoban-opt08-strips',
'sokoban-opt11-strips', 'spider-opt18-strips', 'storage',
'termes-opt18-strips', 'tetris-opt14-strips',
'tidybot-opt11-strips', 'tidybot-opt14-strips', 'tpp',
'transport-opt08-strips', 'transport-opt11-strips',
'transport-opt14-strips', 'trucks-strips', 'visitall-opt11-strips',
'visitall-opt14-strips', 'woodworking-opt08-strips',
'woodworking-opt11-strips', 'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'agricola-sat18-strips', 'airport', 'assembly',
'barman-sat11-strips', 'barman-sat14-strips', 'blocks',
'caldera-sat18-adl', 'caldera-split-sat18-adl', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl',
'data-network-sat18-strips', 'depot', 'driverlog',
'elevators-sat08-strips', 'elevators-sat11-strips',
'flashfill-sat18-adl', 'floortile-sat11-strips',
'floortile-sat14-strips', 'freecell', 'ged-sat14-strips', 'grid',
'gripper', 'hiking-sat14-strips', 'logistics00', 'logistics98',
'maintenance-sat14-adl', 'miconic', 'miconic-fulladl',
'miconic-simpleadl', 'movie', 'mprime', 'mystery',
'nomystery-sat11-strips', 'nurikabe-sat18-adl', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-sat18-strips', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'settlers-sat18-adl', 'snake-sat18-strips', 'sokoban-sat08-strips',
'sokoban-sat11-strips', 'spider-sat18-strips', 'storage',
'termes-sat18-strips', 'tetris-sat14-strips',
'thoughtful-sat14-strips', 'tidybot-sat11-strips', 'tpp',
'transport-sat08-strips', 'transport-sat11-strips',
'transport-sat14-strips', 'trucks', 'trucks-strips',
'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"planner_memory",
"planner_time",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,786 |
Python
| 36.435443 | 82 | 0.618355 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v6.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v5", "issue814-v6"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "5m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,252 |
Python
| 31.185714 | 108 | 0.678508 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v15.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v13", "issue814-v14", "issue814-v15"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "lazy_greedy([h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["ff"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,244 |
Python
| 30.619718 | 94 | 0.676471 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v10-base-30min.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-base", "issue814-v10"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,256 |
Python
| 31.242857 | 108 | 0.679078 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v17-hmax.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v12-base", "issue814-v16", "issue814-v17"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "astar(h)"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["hmax"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_1",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,243 |
Python
| 30.605633 | 94 | 0.677218 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v16-hmax.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v15", "issue814-v16"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "astar(h)"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["hmax"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_1",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,222 |
Python
| 30.309859 | 94 | 0.676868 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v11-base-hmax-30min.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-base", "issue814-v11"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "astar(h)"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["hmax"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,234 |
Python
| 30.478873 | 94 | 0.676813 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v1.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-base", "issue814-v1"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,255 |
Python
| 31.228571 | 108 | 0.678936 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v9.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v8", "issue814-v9"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "5m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,252 |
Python
| 31.185714 | 108 | 0.678508 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v15-hadd.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v13", "issue814-v14", "issue814-v15"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "lazy_greedy([h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,249 |
Python
| 30.69014 | 94 | 0.67719 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v16-sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v15", "issue814-v16"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "lazy_greedy([h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,239 |
Python
| 30.549295 | 94 | 0.676195 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v13.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v12", "issue814-v13"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "lazy_greedy([h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,235 |
Python
| 30.492957 | 94 | 0.675615 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v1_7_10.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""This experiment is only here for completeness because it was referred
to on the tracker. Don't use it as given here: the different experiments
that are aggregated here used different timeouts, so the results will be
misleading."""
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-base", "issue814-v1", "issue814-v7", "issue814-v10"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
## The following steps are to actually run the experiment.
# exp.add_step('build', exp.build)
# exp.add_step('start', exp.start_runs)
# exp.add_fetcher(name='fetch')
## Alternatively, the following steps fetch the results from the other experiments.
exp.add_fetcher('data/issue814-v1-eval')
exp.add_fetcher('data/issue814-v7-eval')
exp.add_fetcher('data/issue814-v10-eval')
exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,794 |
Python
| 33.506172 | 108 | 0.696492 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v15-hmax.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v13", "issue814-v14", "issue814-v15"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "astar(h)"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["hmax"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,238 |
Python
| 30.535211 | 94 | 0.676944 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v3.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v2", "issue814-v3"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "5m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,252 |
Python
| 31.185714 | 108 | 0.678508 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/align-hmax.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v14", "issue814-v16"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "astar(h)"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["hmax"]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_1",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,222 |
Python
| 30.309859 | 94 | 0.676868 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/align-sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v14", "issue814-v16"]
if common_setup.is_test_run():
BUILDS = ["release64"]
else:
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()),
"--search", "lazy_greedy([h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,239 |
Python
| 30.549295 | 94 | 0.676195 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue814/v2.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue814-v1", "issue814-v2"]
if common_setup.is_test_run():
BUILDS = ["release32"]
else:
BUILDS = ["debug64", "release32", "release64"]
CONFIGS = [
IssueConfig(
build + "-{heuristic}".format(**locals()),
["--evaluator", "h={heuristic}()".format(**locals()), "--search", "lazy_greedy([h],preferred=[h])"],
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for heuristic in ["add", "ff"]
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(os.path.join(DIR, "parser.py"))
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step(
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES +
["simplify_before", "simplify_after", "simplify_time"])
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,253 |
Python
| 31.2 | 108 | 0.678651 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue990/v1-satisficing.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import common_setup
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
REVISIONS = [
"issue990-base",
"issue990-v1",
]
CONFIGS = [
common_setup.IssueConfig("lama-first", [],
driver_options=["--alias", "lama-first"]),
common_setup.IssueConfig("lm-zg", ["--search", "eager_greedy([lmcount(lm_zg(reasonable_orders=false))])"]),
]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REPO = os.environ["DOWNWARD_REPO"]
if common_setup.is_running_on_cluster():
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
else:
SUITE = common_setup.IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.ANYTIME_SEARCH_PARSER)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_absolute_report_step()
exp.add_parse_again_step()
exp.run_steps()
| 1,393 |
Python
| 23.892857 | 111 | 0.693467 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue990/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'agricola-opt18-strips', 'airport', 'barman-opt11-strips',
'barman-opt14-strips', 'blocks', 'childsnack-opt14-strips',
'data-network-opt18-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'organic-synthesis-opt18-strips',
'organic-synthesis-split-opt18-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'petri-net-alignment-opt18-strips',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-small', 'rovers',
'satellite', 'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'snake-opt18-strips', 'sokoban-opt08-strips',
'sokoban-opt11-strips', 'spider-opt18-strips', 'storage',
'termes-opt18-strips', 'tetris-opt14-strips',
'tidybot-opt11-strips', 'tidybot-opt14-strips', 'tpp',
'transport-opt08-strips', 'transport-opt11-strips',
'transport-opt14-strips', 'trucks-strips', 'visitall-opt11-strips',
'visitall-opt14-strips', 'woodworking-opt08-strips',
'woodworking-opt11-strips', 'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'agricola-sat18-strips', 'airport', 'assembly',
'barman-sat11-strips', 'barman-sat14-strips', 'blocks',
'caldera-sat18-adl', 'caldera-split-sat18-adl', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl',
'data-network-sat18-strips', 'depot', 'driverlog',
'elevators-sat08-strips', 'elevators-sat11-strips',
'flashfill-sat18-adl', 'floortile-sat11-strips',
'floortile-sat14-strips', 'freecell', 'ged-sat14-strips', 'grid',
'gripper', 'hiking-sat14-strips', 'logistics00', 'logistics98',
'maintenance-sat14-adl', 'miconic', 'miconic-fulladl',
'miconic-simpleadl', 'movie', 'mprime', 'mystery',
'nomystery-sat11-strips', 'nurikabe-sat18-adl', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-sat18-strips', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'settlers-sat18-adl', 'snake-sat18-strips', 'sokoban-sat08-strips',
'sokoban-sat11-strips', 'spider-sat18-strips', 'storage',
'termes-sat18-strips', 'tetris-sat14-strips',
'thoughtful-sat14-strips', 'tidybot-sat11-strips', 'tpp',
'transport-sat08-strips', 'transport-sat11-strips',
'transport-sat14-strips', 'trucks', 'trucks-strips',
'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".git" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".git")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"generated",
"memory",
"planner_memory",
"planner_time",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None, additional=[]):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute, config_nick2=None):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
if config_nick2 is not None:
name += "-" + config_nick2
print("Make scatter plot for", name)
algo1 = get_algo_nick(rev1, config_nick)
algo2 = get_algo_nick(rev2, config_nick if config_nick2 is None else config_nick2)
report = ScatterPlotReport(
filter_algorithm=[algo1, algo2],
attributes=[attribute],
relative=relative,
get_category=lambda run1, run2: run1["domain"])
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
for nick1, nick2, rev1, rev2, attribute in additional:
make_scatter_plot(nick1, rev1, rev2, attribute, config_nick2=nick2)
self.add_step(step_name, lambda: make_scatter_plots)
| 14,979 |
Python
| 36.828283 | 94 | 0.618065 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue990/v1-optimal-2.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import common_setup
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
REVISIONS = [
"issue990-base",
"issue990-v1",
]
CONFIGS = [
common_setup.IssueConfig("seq-opt-bjolp", [],
driver_options=["--alias", "seq-opt-bjolp"]),
common_setup.IssueConfig("lm-hm2", ["--evaluator", "lmc=lmcount(lm_hm(m=2),admissible=true)", "--search", "astar(lmc,lazy_evaluator=lmc)"]),
common_setup.IssueConfig("seq-opt-bjolp-opt", ["--evaluator", "lmc=lmcount(lm_merged([lm_rhw(),lm_hm(m=1)]),admissible=true, optimal=true)", "--search", "astar(lmc,lazy_evaluator=lmc)"]),
common_setup.IssueConfig("lm-exhaust", ["--evaluator", "lmc=lmcount(lm_exhaust(),admissible=true)", "--search", "astar(lmc,lazy_evaluator=lmc)"]),
]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REPO = os.environ["DOWNWARD_REPO"]
if common_setup.is_running_on_cluster():
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
else:
SUITE = common_setup.IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_absolute_report_step()
exp.add_comparison_table_step()
exp.add_parse_again_step()
exp.run_steps()
| 1,761 |
Python
| 29.37931 | 191 | 0.68711 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue990/v1-satisficing-2.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import common_setup
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
REVISIONS = [
"issue990-base",
"issue990-v1",
]
CONFIGS = [
common_setup.IssueConfig("lama-first", [],
driver_options=["--alias", "lama-first"]),
common_setup.IssueConfig("lama-first-pref", ["--evaluator", "hlm=lmcount(lm_factory=lm_rhw(reasonable_orders=true),transform=adapt_costs(one),pref=true)", "--evaluator", "hff=ff(transform=adapt_costs(one))", "--search", """lazy_greedy([hff,hlm],preferred=[hff,hlm], cost_type=one,reopen_closed=false)"""]),
common_setup.IssueConfig("lm-zg", ["--search", "eager_greedy([lmcount(lm_zg(reasonable_orders=false))])"]),
]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REPO = os.environ["DOWNWARD_REPO"]
if common_setup.is_running_on_cluster():
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
else:
SUITE = common_setup.IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.ANYTIME_SEARCH_PARSER)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_absolute_report_step()
exp.add_comparison_table_step()
exp.add_parse_again_step()
exp.run_steps()
| 1,736 |
Python
| 28.948275 | 310 | 0.697005 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue990/v1-optimal.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import common_setup
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
REVISIONS = [
"issue990-base",
"issue990-v1",
]
CONFIGS = [
common_setup.IssueConfig("seq-opt-bjolp", [],
driver_options=["--alias", "seq-opt-bjolp"]),
common_setup.IssueConfig("lm-exhaust", ["--search", "astar(lmcount(lm_exhaust(), admissible=true))"]),
]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REPO = os.environ["DOWNWARD_REPO"]
if common_setup.is_running_on_cluster():
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
else:
SUITE = common_setup.IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_absolute_report_step()
exp.add_parse_again_step()
exp.run_steps()
| 1,348 |
Python
| 23.527272 | 106 | 0.689169 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue456/sat-v2.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
REVS = ["issue456-base", "issue456-v2"]
LIMITS = {"search_time": 1800}
SUITE = suites.suite_satisficing_with_ipc11()
CONFIGS = {
"eager_greedy_add": [
"--heuristic",
"h=add()",
"--search",
"eager_greedy(h, preferred=h)"],
"lazy_greedy_ff": [
"--heuristic",
"h=ff()",
"--search",
"lazy_greedy(h, preferred=h)"],
}
exp = common_setup.IssueExperiment(
search_revisions=REVS,
configs=CONFIGS,
suite=SUITE,
limits=LIMITS,
)
exp.add_comparison_table_step()
exp()
| 650 |
Python
| 18.147058 | 45 | 0.573846 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue456/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import sys
from lab.environments import LocalEnvironment, MaiaEnvironment
from lab.experiment import ARGPARSER
from lab.steps import Step
from downward.experiments import DownwardExperiment, _get_rev_nick
from downward.checkouts import Translator, Preprocessor, Planner
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import CompareRevisionsReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
def get_script():
"""Get file name of main script."""
import __main__
return __main__.__file__
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return ("cluster" in node or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (ARGS.test_run == "auto" and
not is_running_on_cluster())
class IssueExperiment(DownwardExperiment):
"""Wrapper for DownwardExperiment with a few convenience features."""
DEFAULT_TEST_SUITE = "gripper:prob01.pddl"
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"plan_length",
]
def __init__(self, configs, suite, grid_priority=None, path=None,
repo=None, revisions=None, search_revisions=None,
test_suite=None, **kwargs):
"""Create a DownwardExperiment with some convenience features.
*configs* must be a non-empty dict of {nick: cmdline} pairs
that sets the planner configurations to test. ::
IssueExperiment(configs={
"lmcut": ["--search", "astar(lmcut())"],
"ipdb": ["--search", "astar(ipdb())"]})
*suite* sets the benchmarks for the experiment. It must be a
single string or a list of strings specifying domains or
tasks. The downward.suites module has many predefined
suites. ::
IssueExperiment(suite=["grid", "gripper:prob01.pddl"])
from downward import suites
IssueExperiment(suite=suites.suite_all())
IssueExperiment(suite=suites.suite_satisficing_with_ipc11())
IssueExperiment(suite=suites.suite_optimal())
Use *grid_priority* to set the job priority for cluster
experiments. It must be in the range [-1023, 0] where 0 is the
highest priority. By default the priority is 0. ::
IssueExperiment(grid_priority=-500)
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
If *repo* is specified, it must be the path to the root of a
local Fast Downward repository. If omitted, the repository
is derived automatically from the main script's path. Example::
script = /path/to/fd-repo/experiments/issue123/exp01.py -->
repo = /path/to/fd-repo
If *revisions* is specified, it should be a non-empty
list of revisions, which specify which planner versions to use
in the experiment. The same versions are used for translator,
preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"])
If *search_revisions* is specified, it should be a non-empty
list of revisions, which specify which search component
versions to use in the experiment. All runs use the
translator and preprocessor component of the first
revision. ::
IssueExperiment(search_revisions=["default", "issue123"])
If you really need to specify the (translator, preprocessor,
planner) triples manually, use the *combinations* parameter
from the base class (might be deprecated soon). The options
*revisions*, *search_revisions* and *combinations* can be
freely mixed, but at least one of them must be given.
Specify *test_suite* to set the benchmarks for experiment test
runs. By default the first gripper task is used.
IssueExperiment(test_suite=["depot:pfile1", "tpp:p01.pddl"])
"""
if is_test_run():
kwargs["environment"] = LocalEnvironment()
suite = test_suite or self.DEFAULT_TEST_SUITE
elif "environment" not in kwargs:
kwargs["environment"] = MaiaEnvironment(priority=grid_priority)
if path is None:
path = get_data_dir()
if repo is None:
repo = get_repo_base()
kwargs.setdefault("combinations", [])
if not any([revisions, search_revisions, kwargs["combinations"]]):
raise ValueError('At least one of "revisions", "search_revisions" '
'or "combinations" must be given')
if revisions:
kwargs["combinations"].extend([
(Translator(repo, rev),
Preprocessor(repo, rev),
Planner(repo, rev))
for rev in revisions])
if search_revisions:
base_rev = search_revisions[0]
# Use the same nick for all parts to get short revision nick.
kwargs["combinations"].extend([
(Translator(repo, base_rev, nick=rev),
Preprocessor(repo, base_rev, nick=rev),
Planner(repo, rev, nick=rev))
for rev in search_revisions])
DownwardExperiment.__init__(self, path=path, repo=repo, **kwargs)
self._config_nicks = []
for nick, config in configs.items():
self.add_config(nick, config)
self.add_suite(suite)
@property
def revision_nicks(self):
# TODO: Once the add_algorithm() API is available we should get
# rid of the call to _get_rev_nick() and avoid inspecting the
# list of combinations by setting and saving the algorithm nicks.
return [_get_rev_nick(*combo) for combo in self.combinations]
def add_config(self, nick, config, timeout=None):
DownwardExperiment.add_config(self, nick, config, timeout=timeout)
self._config_nicks.append(nick)
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't
compare revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If
the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = get_experiment_name() + "." + report.output_format
self.add_report(report, outfile=outfile)
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revision triples. Each report pairs up the runs of the same
config and lists the two absolute attribute values and their
difference for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareRevisionsReport
class. If the keyword argument *attributes* is not
specified, a default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self.revision_nicks, 2):
report = CompareRevisionsReport(rev1, rev2, **kwargs)
outfile = os.path.join(self.eval_dir,
"%s-%s-%s-compare.html" %
(self.name, rev1, rev2))
report(self.eval_dir, outfile)
self.add_step(Step("make-comparison-tables", make_comparison_tables))
def add_scatter_plot_step(self, attributes=None):
"""Add a step that creates scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revision pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
scatter_dir = os.path.join(self.eval_dir, "scatter")
def is_portfolio(config_nick):
return "fdss" in config_nick
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "%s-%s" % (rev1, config_nick)
algo2 = "%s-%s" % (rev2, config_nick)
report = ScatterPlotReport(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config_nick in self._config_nicks:
if is_portfolio(config_nick):
valid_attributes = [
attr for attr in attributes
if attr in self.PORTFOLIO_ATTRIBUTES]
else:
valid_attributes = attributes
for rev1, rev2 in itertools.combinations(
self.revision_nicks, 2):
for attribute in valid_attributes:
make_scatter_plot(config_nick, rev1, rev2, attribute)
self.add_step(Step("make-scatter-plots", make_scatter_plots))
| 12,755 |
Python
| 35.135977 | 79 | 0.610349 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue456/opt-v1.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
REVS = ["issue456-base", "issue456-v1"]
LIMITS = {"search_time": 1800}
SUITE = suites.suite_optimal_with_ipc11()
CONFIGS = {
"astar_blind": ["--search", "astar(blind())"],
"astar_hmax": ["--search", "astar(hmax())"],
}
exp = common_setup.IssueExperiment(
search_revisions=REVS,
configs=CONFIGS,
suite=SUITE,
limits=LIMITS,
)
exp.add_comparison_table_step()
exp()
| 492 |
Python
| 17.961538 | 50 | 0.636179 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue456/sat-v1.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
REVS = ["issue456-base", "issue456-v1"]
LIMITS = {"search_time": 1800}
SUITE = suites.suite_satisficing_with_ipc11()
CONFIGS = {
"eager_greedy_add": [
"--heuristic",
"h=add()",
"--search",
"eager_greedy(h, preferred=h)"],
"lazy_greedy_ff": [
"--heuristic",
"h=ff()",
"--search",
"lazy_greedy(h, preferred=h)"],
}
exp = common_setup.IssueExperiment(
search_revisions=REVS,
configs=CONFIGS,
suite=SUITE,
limits=LIMITS,
)
exp.add_comparison_table_step()
exp()
| 650 |
Python
| 18.147058 | 45 | 0.573846 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue456/opt-v2.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
REVS = ["issue456-base", "issue456-v2"]
LIMITS = {"search_time": 1800}
SUITE = suites.suite_optimal_with_ipc11()
CONFIGS = {
"astar_blind": ["--search", "astar(blind())"],
"astar_hmax": ["--search", "astar(hmax())"],
}
exp = common_setup.IssueExperiment(
search_revisions=REVS,
configs=CONFIGS,
suite=SUITE,
limits=LIMITS,
)
exp.add_comparison_table_step()
exp()
| 492 |
Python
| 17.961538 | 50 | 0.636179 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue740/common.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["8e0b8e1f6edc"]
EXPORTS = ["PYTHONPATH", "PATH", "DOWNWARD_BENCHMARKS"]
def generate_configs(sas_filenames):
configs = []
for sas_file in sas_filenames:
common_driver_options = [] if sas_file is None else ["--sas-file", sas_file]
configs += [
IssueConfig('lazy-greedy-blind-{}'.format(sas_file), ['--search', 'lazy_greedy([blind()])'],
driver_options=common_driver_options + []),
IssueConfig('lama-first-{}'.format(sas_file), [],
driver_options=common_driver_options + ["--alias", "lama-first"]),
IssueConfig("seq_sat_fdss_1-{}".format(sas_file), [],
driver_options=common_driver_options + ["--alias", "seq-sat-fdss-1"]),
IssueConfig("seq_sat_fdss_-{}".format(sas_file), [],
driver_options=common_driver_options + ["--portfolio", "driver/portfolios/seq_sat_fdss_2.py",
"--overall-time-limit", "20s"]),
IssueConfig('translate-only-{}'.format(sas_file), [],
driver_options=['--translate'] + common_driver_options),
]
return configs
def generate_experiments(configs):
SUITE = ["gripper:prob01.pddl",
"blocks:probBLOCKS-5-0.pddl",
"visitall-sat11-strips:problem12.pddl",
"airport:p01-airport1-p1.pddl"]
ENVIRONMENT = BaselSlurmEnvironment(email="[email protected]", export=EXPORTS)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = IssueExperiment(
revisions=REVISIONS,
configs=configs,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.run_steps()
| 2,196 |
Python
| 33.328124 | 117 | 0.59745 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue740/out_sas.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import common
# We want to test both NOT specifying the -sas-file option AND specifying the default "output.sas" value.
# The result should be the same in both cases
common.generate_experiments(common.generate_configs((None, "output.sas")))
| 289 |
Python
| 35.249996 | 105 | 0.737024 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue740/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'airport', 'barman-opt11-strips', 'barman-opt14-strips', 'blocks',
'childsnack-opt14-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'pipesworld-notankage',
'pipesworld-tankage', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'sokoban-opt08-strips', 'sokoban-opt11-strips', 'storage',
'tetris-opt14-strips', 'tidybot-opt11-strips',
'tidybot-opt14-strips', 'tpp', 'transport-opt08-strips',
'transport-opt11-strips', 'transport-opt14-strips',
'trucks-strips', 'visitall-opt11-strips', 'visitall-opt14-strips',
'woodworking-opt08-strips', 'woodworking-opt11-strips',
'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'airport', 'assembly', 'barman-sat11-strips',
'barman-sat14-strips', 'blocks', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl', 'depot',
'driverlog', 'elevators-sat08-strips', 'elevators-sat11-strips',
'floortile-sat11-strips', 'floortile-sat14-strips', 'freecell',
'ged-sat14-strips', 'grid', 'gripper', 'hiking-sat14-strips',
'logistics00', 'logistics98', 'maintenance-sat14-adl', 'miconic',
'miconic-fulladl', 'miconic-simpleadl', 'movie', 'mprime',
'mystery', 'nomystery-sat11-strips', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'sokoban-sat08-strips', 'sokoban-sat11-strips', 'storage',
'tetris-sat14-strips', 'thoughtful-sat14-strips',
'tidybot-sat11-strips', 'tpp', 'transport-sat08-strips',
'transport-sat11-strips', 'transport-sat14-strips', 'trucks',
'trucks-strips', 'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return (
"cluster" in node or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
from relativescatter import RelativeScatterPlotReport
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,182 |
Python
| 35.838961 | 79 | 0.613383 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue740/foobar_sas.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import common
common.generate_experiments(common.generate_configs(["foobar.sas"]))
| 132 |
Python
| 17.999997 | 68 | 0.69697 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue526/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'airport', 'barman-opt11-strips', 'barman-opt14-strips', 'blocks',
'childsnack-opt14-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'pipesworld-notankage',
'pipesworld-tankage', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'sokoban-opt08-strips', 'sokoban-opt11-strips', 'storage',
'tetris-opt14-strips', 'tidybot-opt11-strips',
'tidybot-opt14-strips', 'tpp', 'transport-opt08-strips',
'transport-opt11-strips', 'transport-opt14-strips',
'trucks-strips', 'visitall-opt11-strips', 'visitall-opt14-strips',
'woodworking-opt08-strips', 'woodworking-opt11-strips',
'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'airport', 'assembly', 'barman-sat11-strips',
'barman-sat14-strips', 'blocks', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl', 'depot',
'driverlog', 'elevators-sat08-strips', 'elevators-sat11-strips',
'floortile-sat11-strips', 'floortile-sat14-strips', 'freecell',
'ged-sat14-strips', 'grid', 'gripper', 'hiking-sat14-strips',
'logistics00', 'logistics98', 'maintenance-sat14-adl', 'miconic',
'miconic-fulladl', 'miconic-simpleadl', 'movie', 'mprime',
'mystery', 'nomystery-sat11-strips', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'sokoban-sat08-strips', 'sokoban-sat11-strips', 'storage',
'tetris-sat14-strips', 'thoughtful-sat14-strips',
'tidybot-sat11-strips', 'tpp', 'transport-sat08-strips',
'transport-sat11-strips', 'transport-sat14-strips', 'trucks',
'trucks-strips', 'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,153 |
Python
| 35.955613 | 82 | 0.615205 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue526/v1-sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue526-base", "issue526-v1"]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_1",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
CONFIGS = [
IssueConfig(
"ehc_ff",
["--heuristic", "h=ff()", "--search", "ehc(h, preferred=[h])"],
driver_options=["--overall-time-limit", "5m"]),
IssueConfig(
"lama-first-lazy",
[],
driver_options=["--alias", "lama-first", "--overall-time-limit", "5m"]),
IssueConfig(
"lama-first-eager",
["--evaluator",
"""hlm=lama_synergy(lm_rhw(reasonable_orders=true,lm_cost_type=one),
transform=adapt_costs(one))""",
"--evaluator",
"hff=ff_synergy(hlm)",
"--search",
"""eager_greedy([hff,hlm],preferred=[hff,hlm],
cost_type=one)"""],
driver_options=["--overall-time-limit", "5m"]),
]
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
#exp.add_absolute_report_step()
exp.add_comparison_table_step()
for attribute in ["memory", "total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain")),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS))
exp.run_steps()
| 2,384 |
Python
| 29.974026 | 94 | 0.634228 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue526/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue939/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'agricola-opt18-strips', 'airport', 'barman-opt11-strips',
'barman-opt14-strips', 'blocks', 'childsnack-opt14-strips',
'data-network-opt18-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'organic-synthesis-opt18-strips',
'organic-synthesis-split-opt18-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'petri-net-alignment-opt18-strips',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-small', 'rovers',
'satellite', 'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'snake-opt18-strips', 'sokoban-opt08-strips',
'sokoban-opt11-strips', 'spider-opt18-strips', 'storage',
'termes-opt18-strips', 'tetris-opt14-strips',
'tidybot-opt11-strips', 'tidybot-opt14-strips', 'tpp',
'transport-opt08-strips', 'transport-opt11-strips',
'transport-opt14-strips', 'trucks-strips', 'visitall-opt11-strips',
'visitall-opt14-strips', 'woodworking-opt08-strips',
'woodworking-opt11-strips', 'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'agricola-sat18-strips', 'airport', 'assembly',
'barman-sat11-strips', 'barman-sat14-strips', 'blocks',
'caldera-sat18-adl', 'caldera-split-sat18-adl', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl',
'data-network-sat18-strips', 'depot', 'driverlog',
'elevators-sat08-strips', 'elevators-sat11-strips',
'flashfill-sat18-adl', 'floortile-sat11-strips',
'floortile-sat14-strips', 'freecell', 'ged-sat14-strips', 'grid',
'gripper', 'hiking-sat14-strips', 'logistics00', 'logistics98',
'maintenance-sat14-adl', 'miconic', 'miconic-fulladl',
'miconic-simpleadl', 'movie', 'mprime', 'mystery',
'nomystery-sat11-strips', 'nurikabe-sat18-adl', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-sat18-strips', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'settlers-sat18-adl', 'snake-sat18-strips', 'sokoban-sat08-strips',
'sokoban-sat11-strips', 'spider-sat18-strips', 'storage',
'termes-sat18-strips', 'tetris-sat14-strips',
'thoughtful-sat14-strips', 'tidybot-sat11-strips', 'tpp',
'transport-sat08-strips', 'transport-sat11-strips',
'transport-sat14-strips', 'trucks', 'trucks-strips',
'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"planner_memory",
"planner_time",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print("Make scatter plot for", name)
algo1 = get_algo_nick(rev1, config_nick)
algo2 = get_algo_nick(rev2, config_nick)
report = report_class(
filter_algorithm=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"])
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,744 |
Python
| 36.423858 | 82 | 0.619778 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue939/base.py
|
#! /usr/bin/env python2
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
EXPNAME = common_setup.get_experiment_name()
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue939-base"]
CONFIGS = [
IssueConfig(
"translate-only",
[],
driver_options=["--translate"])
]
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]")
# This was generated by running "./suites.py all" in the benchmarks
# repository.
SUITE = [
'agricola-opt18-strips',
'agricola-sat18-strips',
'airport',
'airport-adl',
'assembly',
'barman-mco14-strips',
'barman-opt11-strips',
'barman-opt14-strips',
'barman-sat11-strips',
'barman-sat14-strips',
'blocks',
'caldera-opt18-adl',
'caldera-sat18-adl',
'caldera-split-opt18-adl',
'caldera-split-sat18-adl',
'cavediving-14-adl',
'childsnack-opt14-strips',
'childsnack-sat14-strips',
'citycar-opt14-adl',
'citycar-sat14-adl',
'data-network-opt18-strips',
'data-network-sat18-strips',
'depot',
'driverlog',
'elevators-opt08-strips',
'elevators-opt11-strips',
'elevators-sat08-strips',
'elevators-sat11-strips',
'flashfill-sat18-adl',
'floortile-opt11-strips',
'floortile-opt14-strips',
'floortile-sat11-strips',
'floortile-sat14-strips',
'freecell',
'ged-opt14-strips',
'ged-sat14-strips',
'grid',
'gripper',
'hiking-agl14-strips',
'hiking-opt14-strips',
'hiking-sat14-strips',
'logistics00',
'logistics98',
'maintenance-opt14-adl',
'maintenance-sat14-adl',
'miconic',
'miconic-fulladl',
'miconic-simpleadl',
'movie',
'mprime',
'mystery',
'no-mprime',
'no-mystery',
'nomystery-opt11-strips',
'nomystery-sat11-strips',
'nurikabe-opt18-adl',
'nurikabe-sat18-adl',
'openstacks',
'openstacks-agl14-strips',
'openstacks-opt08-adl',
'openstacks-opt08-strips',
'openstacks-opt11-strips',
'openstacks-opt14-strips',
'openstacks-sat08-adl',
'openstacks-sat08-strips',
'openstacks-sat11-strips',
'openstacks-sat14-strips',
'openstacks-strips',
'optical-telegraphs',
'organic-synthesis-opt18-strips',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-opt18-strips',
'organic-synthesis-split-sat18-strips',
'parcprinter-08-strips',
'parcprinter-opt11-strips',
'parcprinter-sat11-strips',
'parking-opt11-strips',
'parking-opt14-strips',
'parking-sat11-strips',
'parking-sat14-strips',
'pathways',
'pathways-noneg',
'pegsol-08-strips',
'pegsol-opt11-strips',
'pegsol-sat11-strips',
'petri-net-alignment-opt18-strips',
'philosophers',
'pipesworld-notankage',
'pipesworld-tankage',
'psr-large',
'psr-middle',
'psr-small',
'rovers',
'satellite',
'scanalyzer-08-strips',
'scanalyzer-opt11-strips',
'scanalyzer-sat11-strips',
'schedule',
'settlers-opt18-adl',
'settlers-sat18-adl',
'snake-opt18-strips',
'snake-sat18-strips',
'sokoban-opt08-strips',
'sokoban-opt11-strips',
'sokoban-sat08-strips',
'sokoban-sat11-strips',
'spider-opt18-strips',
'spider-sat18-strips',
'storage',
'termes-opt18-strips',
'termes-sat18-strips',
'tetris-opt14-strips',
'tetris-sat14-strips',
'thoughtful-mco14-strips',
'thoughtful-sat14-strips',
'tidybot-opt11-strips',
'tidybot-opt14-strips',
'tidybot-sat11-strips',
'tpp',
'transport-opt08-strips',
'transport-opt11-strips',
'transport-opt14-strips',
'transport-sat08-strips',
'transport-sat11-strips',
'transport-sat14-strips',
'trucks',
'trucks-strips',
'visitall-opt11-strips',
'visitall-opt14-strips',
'visitall-sat11-strips',
'visitall-sat14-strips',
'woodworking-opt08-strips',
'woodworking-opt11-strips',
'woodworking-sat08-strips',
'woodworking-sat11-strips',
'zenotravel',
]
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=4)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser("translator_additional_parser.py")
del exp.commands['remove-output-sas']
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_parse_again_step()
exp.add_fetcher(name='fetch')
exp.run_steps()
| 4,843 |
Python
| 24.361256 | 68 | 0.655585 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue939/fetch.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from collections import defaultdict
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
from lab.experiment import Experiment
from downward.reports import PlanningReport
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
import common_setup
DIR = os.path.dirname(os.path.abspath(__file__))
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]")
if common_setup.is_test_run():
ENVIRONMENT = LocalEnvironment(processes=4)
exp = Experiment()
class TranslatorDiffReport(PlanningReport):
def get_cell(self, run):
return ";".join(run.get(attr) for attr in self.attributes)
def get_text(self):
lines = []
for runs in self.problem_runs.values():
hashes = set([r.get("translator_output_sas_hash") for r in runs])
if len(hashes) > 1 or None in hashes:
lines.append(";".join([self.get_cell(r) for r in runs]))
return "\n".join(lines)
class SameValueFilters(object):
"""Ignore runs for a task where all algorithms have the same value."""
def __init__(self, attribute):
self._attribute = attribute
self._tasks_to_values = defaultdict(list)
def _get_task(self, run):
return (run['domain'], run['problem'])
def store_values(self, run):
value = run.get(self._attribute)
self._tasks_to_values[self._get_task(run)].append(value)
# Don't filter this run, yet.
return True
def filter_tasks_with_equal_values(self, run):
values = self._tasks_to_values[self._get_task(run)]
return len(set(values)) != 1
exp.add_fetcher(src='data/issue939-base-eval')
exp.add_fetcher(src='data/issue939-v1-eval', merge=True)
ATTRIBUTES = ["error", "run_dir", "translator_*", "translator_output_sas_hash"]
#exp.add_comparison_table_step(attributes=ATTRIBUTES)
same_value_filters = SameValueFilters("translator_output_sas_hash")
# exp.add_comparison_table_step(
# name="filtered",
# attributes=ATTRIBUTES,
# filter=[same_value_filters.store_values, same_value_filters.filter_tasks_with_equal_values])
exp.add_report(TranslatorDiffReport(
attributes=["domain", "problem", "algorithm", "run_dir"]
), outfile="different_output_sas.csv"
)
exp.add_report(AbsoluteReport(attributes=ATTRIBUTES))
exp.add_report(ComparativeReport([
('issue939-base-translate-only', 'issue939-v1-translate-only')
], attributes=ATTRIBUTES))
exp.run_steps()
| 2,598 |
Python
| 29.57647 | 98 | 0.687452 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue939/translator_additional_parser.py
|
#!/usr/bin/env python
import hashlib
from lab.parser import Parser
def add_hash_value(content, props):
props['translator_output_sas_hash'] = hashlib.sha512(str(content).encode('utf-8')).hexdigest()
parser = Parser()
parser.add_function(add_hash_value, file="output.sas")
parser.parse()
| 294 |
Python
| 21.692306 | 98 | 0.731293 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue939/v1.py
|
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
EXPNAME = common_setup.get_experiment_name()
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue939-v1"]
CONFIGS = [
IssueConfig(
"translate-only",
[],
driver_options=["--translate"])
]
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]")
# This was generated by running "./suites.py all" in the benchmarks
# repository.
SUITE = [
'agricola-opt18-strips',
'agricola-sat18-strips',
'airport',
'airport-adl',
'assembly',
'barman-mco14-strips',
'barman-opt11-strips',
'barman-opt14-strips',
'barman-sat11-strips',
'barman-sat14-strips',
'blocks',
'caldera-opt18-adl',
'caldera-sat18-adl',
'caldera-split-opt18-adl',
'caldera-split-sat18-adl',
'cavediving-14-adl',
'childsnack-opt14-strips',
'childsnack-sat14-strips',
'citycar-opt14-adl',
'citycar-sat14-adl',
'data-network-opt18-strips',
'data-network-sat18-strips',
'depot',
'driverlog',
'elevators-opt08-strips',
'elevators-opt11-strips',
'elevators-sat08-strips',
'elevators-sat11-strips',
'flashfill-sat18-adl',
'floortile-opt11-strips',
'floortile-opt14-strips',
'floortile-sat11-strips',
'floortile-sat14-strips',
'freecell',
'ged-opt14-strips',
'ged-sat14-strips',
'grid',
'gripper',
'hiking-agl14-strips',
'hiking-opt14-strips',
'hiking-sat14-strips',
'logistics00',
'logistics98',
'maintenance-opt14-adl',
'maintenance-sat14-adl',
'miconic',
'miconic-fulladl',
'miconic-simpleadl',
'movie',
'mprime',
'mystery',
'no-mprime',
'no-mystery',
'nomystery-opt11-strips',
'nomystery-sat11-strips',
'nurikabe-opt18-adl',
'nurikabe-sat18-adl',
'openstacks',
'openstacks-agl14-strips',
'openstacks-opt08-adl',
'openstacks-opt08-strips',
'openstacks-opt11-strips',
'openstacks-opt14-strips',
'openstacks-sat08-adl',
'openstacks-sat08-strips',
'openstacks-sat11-strips',
'openstacks-sat14-strips',
'openstacks-strips',
'optical-telegraphs',
'organic-synthesis-opt18-strips',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-opt18-strips',
'organic-synthesis-split-sat18-strips',
'parcprinter-08-strips',
'parcprinter-opt11-strips',
'parcprinter-sat11-strips',
'parking-opt11-strips',
'parking-opt14-strips',
'parking-sat11-strips',
'parking-sat14-strips',
'pathways',
'pathways-noneg',
'pegsol-08-strips',
'pegsol-opt11-strips',
'pegsol-sat11-strips',
'petri-net-alignment-opt18-strips',
'philosophers',
'pipesworld-notankage',
'pipesworld-tankage',
'psr-large',
'psr-middle',
'psr-small',
'rovers',
'satellite',
'scanalyzer-08-strips',
'scanalyzer-opt11-strips',
'scanalyzer-sat11-strips',
'schedule',
'settlers-opt18-adl',
'settlers-sat18-adl',
'snake-opt18-strips',
'snake-sat18-strips',
'sokoban-opt08-strips',
'sokoban-opt11-strips',
'sokoban-sat08-strips',
'sokoban-sat11-strips',
'spider-opt18-strips',
'spider-sat18-strips',
'storage',
'termes-opt18-strips',
'termes-sat18-strips',
'tetris-opt14-strips',
'tetris-sat14-strips',
'thoughtful-mco14-strips',
'thoughtful-sat14-strips',
'tidybot-opt11-strips',
'tidybot-opt14-strips',
'tidybot-sat11-strips',
'tpp',
'transport-opt08-strips',
'transport-opt11-strips',
'transport-opt14-strips',
'transport-sat08-strips',
'transport-sat11-strips',
'transport-sat14-strips',
'trucks',
'trucks-strips',
'visitall-opt11-strips',
'visitall-opt14-strips',
'visitall-sat11-strips',
'visitall-sat14-strips',
'woodworking-opt08-strips',
'woodworking-opt11-strips',
'woodworking-sat08-strips',
'woodworking-sat11-strips',
'zenotravel',
]
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=4)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser("translator_additional_parser.py")
del exp.commands['remove-output-sas']
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_parse_again_step()
exp.add_fetcher(name='fetch')
exp.run_steps()
| 4,841 |
Python
| 24.350785 | 68 | 0.655443 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue939/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/v2-v4-compare.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from lab.reports import Attribute, geometric_mean
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from common_setup import IssueConfig, IssueExperiment, DEFAULT_OPTIMAL_SUITE, is_test_run
BENCHMARKS_DIR=os.path.expanduser('~/repos/downward/benchmarks')
REVISIONS = []
CONFIGS = []
SUITE = DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email='[email protected]')
if is_test_run():
SUITE = ['depot:p01.pddl', 'depot:p02.pddl', 'parcprinter-opt11-strips:p01.pddl', 'parcprinter-opt11-strips:p02.pddl', 'mystery:prob07.pddl']
ENVIRONMENT = LocalEnvironment(processes=4)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
# planner outcome attributes
perfect_heuristic = Attribute('perfect_heuristic', absolute=True, min_wins=False)
# m&s attributes
ms_construction_time = Attribute('ms_construction_time', absolute=False, min_wins=True, functions=[geometric_mean])
ms_atomic_construction_time = Attribute('ms_atomic_construction_time', absolute=False, min_wins=True, functions=[geometric_mean])
ms_abstraction_constructed = Attribute('ms_abstraction_constructed', absolute=True, min_wins=False)
ms_final_size = Attribute('ms_final_size', absolute=False, min_wins=True)
ms_out_of_memory = Attribute('ms_out_of_memory', absolute=True, min_wins=True)
ms_out_of_time = Attribute('ms_out_of_time', absolute=True, min_wins=True)
search_out_of_memory = Attribute('search_out_of_memory', absolute=True, min_wins=True)
search_out_of_time = Attribute('search_out_of_time', absolute=True, min_wins=True)
extra_attributes = [
perfect_heuristic,
ms_construction_time,
ms_atomic_construction_time,
ms_abstraction_constructed,
ms_final_size,
ms_out_of_memory,
ms_out_of_time,
search_out_of_memory,
search_out_of_time,
]
attributes = exp.DEFAULT_TABLE_ATTRIBUTES
attributes.extend(extra_attributes)
exp.add_fetcher('data/issue668-v2-eval')
exp.add_fetcher('data/issue668-v4-eval')
exp.add_report(ComparativeReport(attributes=attributes,algorithm_pairs=[
('%s-sbf-miasm-rl-otn-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rl-otn-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rl-rnd-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rl-rnd-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-otn-abp-b50k' % 'issue668-v2','%s-sbf-miasm-l-otn-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v2','%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-rnd-abp-b50k' % 'issue668-v2','%s-sbf-miasm-l-rnd-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-otn-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-otn-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-rnd-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-rnd-abp-b50k' % 'issue668-v4'),
]),outfile='issue668-v2-v4-compare-abp.html')
exp.add_report(ComparativeReport(attributes=attributes,algorithm_pairs=[
('%s-sbf-miasm-rl-otn-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rl-otn-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rl-rnd-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rl-rnd-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-otn-pba-b50k' % 'issue668-v2','%s-sbf-miasm-l-otn-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v2','%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-rnd-pba-b50k' % 'issue668-v2','%s-sbf-miasm-l-rnd-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-otn-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-otn-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-rnd-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-rnd-pba-b50k' % 'issue668-v4'),
]),name='issue668-v2-v4-compare-pba.html')
exp.add_report(ComparativeReport(attributes=attributes,algorithm_pairs=[
('%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v2','%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v2','%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v2','%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v4'),
('%s-sbf-miasm-allrnd-b50k' % 'issue668-v2','%s-sbf-miasm-allrnd-b50k' % 'issue668-v4'),
]),name='issue668-v2-v4-compare-paper.html')
exp.run_steps()
| 5,070 |
Python
| 49.20792 | 145 | 0.686982 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
try:
from relativescatter import RelativeScatterPlotReport
matplotlib = True
except ImportError:
print 'matplotlib not availabe, scatter plots not available'
matplotlib = False
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'airport', 'barman-opt11-strips', 'barman-opt14-strips', 'blocks',
'childsnack-opt14-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'pipesworld-notankage',
'pipesworld-tankage', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'sokoban-opt08-strips', 'sokoban-opt11-strips', 'storage',
'tetris-opt14-strips', 'tidybot-opt11-strips',
'tidybot-opt14-strips', 'tpp', 'transport-opt08-strips',
'transport-opt11-strips', 'transport-opt14-strips',
'trucks-strips', 'visitall-opt11-strips', 'visitall-opt14-strips',
'woodworking-opt08-strips', 'woodworking-opt11-strips',
'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'airport', 'assembly', 'barman-sat11-strips',
'barman-sat14-strips', 'blocks', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl', 'depot',
'driverlog', 'elevators-sat08-strips', 'elevators-sat11-strips',
'floortile-sat11-strips', 'floortile-sat14-strips', 'freecell',
'ged-sat14-strips', 'grid', 'gripper', 'hiking-sat14-strips',
'logistics00', 'logistics98', 'maintenance-sat14-adl', 'miconic',
'miconic-fulladl', 'miconic-simpleadl', 'movie', 'mprime',
'mystery', 'nomystery-sat11-strips', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'sokoban-sat08-strips', 'sokoban-sat11-strips', 'storage',
'tetris-sat14-strips', 'thoughtful-sat14-strips',
'tidybot-sat11-strips', 'tpp', 'transport-sat08-strips',
'transport-sat11-strips', 'transport-sat14-strips', 'trucks',
'trucks-strips', 'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
"unsolvable",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if matplotlib:
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,457 |
Python
| 36.071795 | 82 | 0.610638 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/v5-compare.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
from lab.reports import Attribute, geometric_mean
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from common_setup import IssueConfig, IssueExperiment, DEFAULT_OPTIMAL_SUITE, is_test_run
BENCHMARKS_DIR=os.path.expanduser('~/repos/downward/benchmarks')
REVISIONS = []
CONFIGS = []
SUITE = DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(email="[email protected]", export=["PATH"])
if is_test_run():
SUITE = ['depot:p01.pddl', 'parcprinter-opt11-strips:p01.pddl', 'mystery:prob07.pddl']
ENVIRONMENT = LocalEnvironment(processes=4)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
# planner outcome attributes
perfect_heuristic = Attribute('perfect_heuristic', absolute=True, min_wins=False)
# m&s attributes
ms_construction_time = Attribute('ms_construction_time', absolute=False, min_wins=True, functions=[geometric_mean])
ms_atomic_construction_time = Attribute('ms_atomic_construction_time', absolute=False, min_wins=True, functions=[geometric_mean])
ms_abstraction_constructed = Attribute('ms_abstraction_constructed', absolute=True, min_wins=False)
ms_final_size = Attribute('ms_final_size', absolute=False, min_wins=True)
ms_out_of_memory = Attribute('ms_out_of_memory', absolute=True, min_wins=True)
ms_out_of_time = Attribute('ms_out_of_time', absolute=True, min_wins=True)
search_out_of_memory = Attribute('search_out_of_memory', absolute=True, min_wins=True)
search_out_of_time = Attribute('search_out_of_time', absolute=True, min_wins=True)
extra_attributes = [
perfect_heuristic,
ms_construction_time,
ms_atomic_construction_time,
ms_abstraction_constructed,
ms_final_size,
ms_out_of_memory,
ms_out_of_time,
search_out_of_memory,
search_out_of_time,
]
attributes = exp.DEFAULT_TABLE_ATTRIBUTES
attributes.extend(extra_attributes)
exp.add_fetcher('data/issue668-v5-hack-eval')
exp.add_fetcher('data/issue668-v5-clean-eval')
exp.add_report(ComparativeReport(attributes=attributes,algorithm_pairs=[
('%s-sbf-miasm-rl-otn-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-otn-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rl-rnd-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-rnd-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-otn-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-otn-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-rnd-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-rnd-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-otn-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-otn-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-rnd-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-rnd-abp-b50k' % 'issue668-v5-clean'),
]),outfile='issue668-v5-hack-vs-clean-abp.html')
exp.add_report(ComparativeReport(attributes=attributes,algorithm_pairs=[
('%s-sbf-miasm-rl-otn-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-otn-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rl-rnd-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-rnd-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-otn-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-otn-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-rnd-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-rnd-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-otn-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-otn-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-rnd-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-rnd-pba-b50k' % 'issue668-v5-clean'),
]),outfile='issue668-v5-hack-vs-clean-pba.html')
exp.add_report(ComparativeReport(attributes=attributes,algorithm_pairs=[
('%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v5-hack','%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v5-clean'),
('%s-sbf-miasm-allrnd-b50k' % 'issue668-v5-hack','%s-sbf-miasm-allrnd-b50k' % 'issue668-v5-clean'),
]),outfile='issue668-v5-hack-vs-clean-paper.html')
exp.run_steps()
| 5,328 |
Python
| 52.289999 | 129 | 0.694632 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/suites.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import textwrap
HELP = "Convert suite name to list of domains or tasks."
def suite_alternative_formulations():
return ['airport-adl', 'no-mprime', 'no-mystery']
def suite_ipc98_to_ipc04_adl():
return [
'assembly', 'miconic-fulladl', 'miconic-simpleadl',
'optical-telegraphs', 'philosophers', 'psr-large',
'psr-middle', 'schedule',
]
def suite_ipc98_to_ipc04_strips():
return [
'airport', 'blocks', 'depot', 'driverlog', 'freecell', 'grid',
'gripper', 'logistics00', 'logistics98', 'miconic', 'movie',
'mprime', 'mystery', 'pipesworld-notankage', 'psr-small',
'satellite', 'zenotravel',
]
def suite_ipc98_to_ipc04():
# All IPC1-4 domains, including the trivial Movie.
return sorted(suite_ipc98_to_ipc04_adl() + suite_ipc98_to_ipc04_strips())
def suite_ipc06_adl():
return [
'openstacks',
'pathways',
'trucks',
]
def suite_ipc06_strips_compilations():
return [
'openstacks-strips',
'pathways-noneg',
'trucks-strips',
]
def suite_ipc06_strips():
return [
'pipesworld-tankage',
'rovers',
'storage',
'tpp',
]
def suite_ipc06():
return sorted(suite_ipc06_adl() + suite_ipc06_strips())
def suite_ipc08_common_strips():
return [
'parcprinter-08-strips',
'pegsol-08-strips',
'scanalyzer-08-strips',
]
def suite_ipc08_opt_adl():
return ['openstacks-opt08-adl']
def suite_ipc08_opt_strips():
return sorted(suite_ipc08_common_strips() + [
'elevators-opt08-strips',
'openstacks-opt08-strips',
'sokoban-opt08-strips',
'transport-opt08-strips',
'woodworking-opt08-strips',
])
def suite_ipc08_opt():
return sorted(suite_ipc08_opt_strips() + suite_ipc08_opt_adl())
def suite_ipc08_sat_adl():
return ['openstacks-sat08-adl']
def suite_ipc08_sat_strips():
return sorted(suite_ipc08_common_strips() + [
# Note: cyber-security is missing.
'elevators-sat08-strips',
'openstacks-sat08-strips',
'sokoban-sat08-strips',
'transport-sat08-strips',
'woodworking-sat08-strips',
])
def suite_ipc08_sat():
return sorted(suite_ipc08_sat_strips() + suite_ipc08_sat_adl())
def suite_ipc08():
return sorted(set(suite_ipc08_opt() + suite_ipc08_sat()))
def suite_ipc11_opt():
return [
'barman-opt11-strips',
'elevators-opt11-strips',
'floortile-opt11-strips',
'nomystery-opt11-strips',
'openstacks-opt11-strips',
'parcprinter-opt11-strips',
'parking-opt11-strips',
'pegsol-opt11-strips',
'scanalyzer-opt11-strips',
'sokoban-opt11-strips',
'tidybot-opt11-strips',
'transport-opt11-strips',
'visitall-opt11-strips',
'woodworking-opt11-strips',
]
def suite_ipc11_sat():
return [
'barman-sat11-strips',
'elevators-sat11-strips',
'floortile-sat11-strips',
'nomystery-sat11-strips',
'openstacks-sat11-strips',
'parcprinter-sat11-strips',
'parking-sat11-strips',
'pegsol-sat11-strips',
'scanalyzer-sat11-strips',
'sokoban-sat11-strips',
'tidybot-sat11-strips',
'transport-sat11-strips',
'visitall-sat11-strips',
'woodworking-sat11-strips',
]
def suite_ipc11():
return sorted(suite_ipc11_opt() + suite_ipc11_sat())
def suite_ipc14_agl_adl():
return [
'cavediving-14-adl',
'citycar-sat14-adl',
'maintenance-sat14-adl',
]
def suite_ipc14_agl_strips():
return [
'barman-sat14-strips',
'childsnack-sat14-strips',
'floortile-sat14-strips',
'ged-sat14-strips',
'hiking-agl14-strips',
'openstacks-agl14-strips',
'parking-sat14-strips',
'tetris-sat14-strips',
'thoughtful-sat14-strips',
'transport-sat14-strips',
'visitall-sat14-strips',
]
def suite_ipc14_agl():
return sorted(suite_ipc14_agl_adl() + suite_ipc14_agl_strips())
def suite_ipc14_mco_adl():
return [
'cavediving-14-adl',
'citycar-sat14-adl',
'maintenance-sat14-adl',
]
def suite_ipc14_mco_strips():
return [
'barman-mco14-strips',
'childsnack-sat14-strips',
'floortile-sat14-strips',
'ged-sat14-strips',
'hiking-sat14-strips',
'openstacks-sat14-strips',
'parking-sat14-strips',
'tetris-sat14-strips',
'thoughtful-mco14-strips',
'transport-sat14-strips',
'visitall-sat14-strips',
]
def suite_ipc14_mco():
return sorted(suite_ipc14_mco_adl() + suite_ipc14_mco_strips())
def suite_ipc14_opt_adl():
return [
'cavediving-14-adl',
'citycar-opt14-adl',
'maintenance-opt14-adl',
]
def suite_ipc14_opt_strips():
return [
'barman-opt14-strips',
'childsnack-opt14-strips',
'floortile-opt14-strips',
'ged-opt14-strips',
'hiking-opt14-strips',
'openstacks-opt14-strips',
'parking-opt14-strips',
'tetris-opt14-strips',
'tidybot-opt14-strips',
'transport-opt14-strips',
'visitall-opt14-strips',
]
def suite_ipc14_opt():
return sorted(suite_ipc14_opt_adl() + suite_ipc14_opt_strips())
def suite_ipc14_sat_adl():
return [
'cavediving-14-adl',
'citycar-sat14-adl',
'maintenance-sat14-adl',
]
def suite_ipc14_sat_strips():
return [
'barman-sat14-strips',
'childsnack-sat14-strips',
'floortile-sat14-strips',
'ged-sat14-strips',
'hiking-sat14-strips',
'openstacks-sat14-strips',
'parking-sat14-strips',
'tetris-sat14-strips',
'thoughtful-sat14-strips',
'transport-sat14-strips',
'visitall-sat14-strips',
]
def suite_ipc14_sat():
return sorted(suite_ipc14_sat_adl() + suite_ipc14_sat_strips())
def suite_ipc14():
return sorted(set(
suite_ipc14_agl() + suite_ipc14_mco() +
suite_ipc14_opt() + suite_ipc14_sat()))
def suite_unsolvable():
return sorted(
['mystery:prob%02d.pddl' % index
for index in [4, 5, 7, 8, 12, 16, 18, 21, 22, 23, 24]] +
['miconic-fulladl:f21-3.pddl', 'miconic-fulladl:f30-2.pddl'])
def suite_optimal_adl():
return sorted(
suite_ipc98_to_ipc04_adl() + suite_ipc06_adl() +
suite_ipc08_opt_adl() + suite_ipc14_opt_adl())
def suite_optimal_strips():
return sorted(
suite_ipc98_to_ipc04_strips() + suite_ipc06_strips() +
suite_ipc06_strips_compilations() + suite_ipc08_opt_strips() +
suite_ipc11_opt() + suite_ipc14_opt_strips())
def suite_optimal():
return sorted(suite_optimal_adl() + suite_optimal_strips())
def suite_satisficing_adl():
return sorted(
suite_ipc98_to_ipc04_adl() + suite_ipc06_adl() +
suite_ipc08_sat_adl() + suite_ipc14_sat_adl())
def suite_satisficing_strips():
return sorted(
suite_ipc98_to_ipc04_strips() + suite_ipc06_strips() +
suite_ipc06_strips_compilations() + suite_ipc08_sat_strips() +
suite_ipc11_sat() + suite_ipc14_sat_strips())
def suite_satisficing():
return sorted(suite_satisficing_adl() + suite_satisficing_strips())
def suite_all():
return sorted(
suite_ipc98_to_ipc04() + suite_ipc06() +
suite_ipc06_strips_compilations() + suite_ipc08() +
suite_ipc11() + suite_ipc14() + suite_alternative_formulations())
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("suite", help="suite name")
return parser.parse_args()
def main():
prefix = "suite_"
suite_names = [
name[len(prefix):] for name in sorted(globals().keys())
if name.startswith(prefix)]
parser = argparse.ArgumentParser(description=HELP)
parser.add_argument("suite", choices=suite_names, help="suite name")
parser.add_argument(
"--width", default=72, type=int,
help="output line width (default: %(default)s). Use 1 for single "
"column.")
args = parser.parse_args()
suite_func = globals()[prefix + args.suite]
print(textwrap.fill(
str(suite_func()),
width=args.width,
break_long_words=False,
break_on_hyphens=False))
if __name__ == "__main__":
main()
| 8,551 |
Python
| 23.364672 | 77 | 0.595954 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/v5-paper.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
from lab.reports import Attribute, geometric_mean
from downward.reports.absolute import AbsoluteReport
from common_setup import IssueConfig, IssueExperiment, DEFAULT_OPTIMAL_SUITE, is_test_run
BENCHMARKS_DIR=os.path.expanduser('~/repos/downward/benchmarks')
REVISIONS = ["issue668-v5-hack"]
CONFIGS = [
IssueConfig('sbf-miasm-rl-nto-abp-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),total_order(atomic_ts_order=reverse_level,product_ts_order=new_to_old,atomic_before_product=true)])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
IssueConfig('sbf-miasm-l-nto-abp-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),total_order(atomic_ts_order=level,product_ts_order=new_to_old,atomic_before_product=true)])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
IssueConfig('sbf-miasm-rnd-nto-abp-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),total_order(atomic_ts_order=random,product_ts_order=new_to_old,atomic_before_product=true)])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
IssueConfig('sbf-miasm-rl-nto-pba-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),total_order(atomic_ts_order=reverse_level,product_ts_order=new_to_old,atomic_before_product=false)])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
IssueConfig('sbf-miasm-l-nto-pba-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),total_order(atomic_ts_order=level,product_ts_order=new_to_old,atomic_before_product=false)])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
IssueConfig('sbf-miasm-rnd-nto-pba-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),total_order(atomic_ts_order=random,product_ts_order=new_to_old,atomic_before_product=false)])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
IssueConfig('sbf-miasm-allrnd-b50k', ['--search', 'astar(merge_and_shrink(merge_strategy=merge_stateless(merge_selector=score_based_filtering(scoring_functions=[sf_miasm(shrink_strategy=shrink_bisimulation(greedy=false),max_states=50000,threshold_before_merge=1),single_random])),shrink_strategy=shrink_bisimulation(greedy=false),label_reduction=exact(before_shrinking=true,before_merging=false),max_states=50000,threshold_before_merge=1))'], driver_options=['--search-memory-limit', '2048M']),
]
SUITE = DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(email="[email protected]", export=["PATH"], partition='infai_1')
if is_test_run():
SUITE = ['depot:p01.pddl', 'parcprinter-opt11-strips:p01.pddl', 'mystery:prob07.pddl']
ENVIRONMENT = LocalEnvironment(processes=4)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser('lab_driver_parser', exp.LAB_DRIVER_PARSER)
exp.add_parser('exitcode_parser', exp.EXITCODE_PARSER)
exp.add_parser('translator_parser', exp.TRANSLATOR_PARSER)
exp.add_parser('single_search_parser', exp.SINGLE_SEARCH_PARSER)
exp.add_parser('ms_parser', 'ms-parser.py')
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
# planner outcome attributes
perfect_heuristic = Attribute('perfect_heuristic', absolute=True, min_wins=False)
# m&s attributes
ms_construction_time = Attribute('ms_construction_time', absolute=False, min_wins=True, functions=[geometric_mean])
ms_atomic_construction_time = Attribute('ms_atomic_construction_time', absolute=False, min_wins=True, functions=[geometric_mean])
ms_abstraction_constructed = Attribute('ms_abstraction_constructed', absolute=True, min_wins=False)
ms_final_size = Attribute('ms_final_size', absolute=False, min_wins=True)
ms_out_of_memory = Attribute('ms_out_of_memory', absolute=True, min_wins=True)
ms_out_of_time = Attribute('ms_out_of_time', absolute=True, min_wins=True)
search_out_of_memory = Attribute('search_out_of_memory', absolute=True, min_wins=True)
search_out_of_time = Attribute('search_out_of_time', absolute=True, min_wins=True)
extra_attributes = [
perfect_heuristic,
ms_construction_time,
ms_atomic_construction_time,
ms_abstraction_constructed,
ms_final_size,
ms_out_of_memory,
ms_out_of_time,
search_out_of_memory,
search_out_of_time,
]
attributes = exp.DEFAULT_TABLE_ATTRIBUTES
attributes.extend(extra_attributes)
exp.add_report(AbsoluteReport(attributes=attributes,filter_algorithm=[
'%s-sbf-miasm-rl-nto-abp-b50k' % 'issue668-v5-hack',
'%s-sbf-miasm-l-nto-abp-b50k' % 'issue668-v5-hack',
'%s-sbf-miasm-rnd-nto-abp-b50k' % 'issue668-v5-hack',
'%s-sbf-miasm-rl-nto-pba-b50k' % 'issue668-v5-hack',
'%s-sbf-miasm-l-nto-pba-b50k' % 'issue668-v5-hack',
'%s-sbf-miasm-rnd-nto-pba-b50k' % 'issue668-v5-hack',
'%s-sbf-miasm-allrnd-b50k' % 'issue668-v5-hack',
]),outfile='issue668-v5-paper.html')
exp.run_steps()
| 6,978 |
Python
| 74.04301 | 587 | 0.766982 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/ms-parser.py
|
#! /usr/bin/env python
from lab.parser import Parser
parser = Parser()
parser.add_pattern('ms_final_size', 'Final transition system size: (\d+)', required=False, type=int)
parser.add_pattern('ms_construction_time', 'Done initializing merge-and-shrink heuristic \[(.+)s\]', required=False, type=float)
parser.add_pattern('ms_atomic_construction_time', 't=(.+)s \(after computation of atomic transition systems\)', required=False, type=float)
parser.add_pattern('ms_memory_delta', 'Final peak memory increase of merge-and-shrink computation: (\d+) KB', required=False, type=int)
def check_ms_constructed(content, props):
ms_construction_time = props.get('ms_construction_time')
abstraction_constructed = False
if ms_construction_time is not None:
abstraction_constructed = True
props['ms_abstraction_constructed'] = abstraction_constructed
parser.add_function(check_ms_constructed)
def check_planner_exit_reason(content, props):
ms_abstraction_constructed = props.get('ms_abstraction_constructed')
error = props.get('error')
if error != 'none' and error != 'timeout' and error != 'out-of-memory':
print 'error: %s' % error
return
# Check whether merge-and-shrink computation or search ran out of
# time or memory.
ms_out_of_time = False
ms_out_of_memory = False
search_out_of_time = False
search_out_of_memory = False
if ms_abstraction_constructed == False:
if error == 'timeout':
ms_out_of_time = True
elif error == 'out-of-memory':
ms_out_of_memory = True
elif ms_abstraction_constructed == True:
if error == 'timeout':
search_out_of_time = True
elif error == 'out-of-memory':
search_out_of_memory = True
props['ms_out_of_time'] = ms_out_of_time
props['ms_out_of_memory'] = ms_out_of_memory
props['search_out_of_time'] = search_out_of_time
props['search_out_of_memory'] = search_out_of_memory
parser.add_function(check_planner_exit_reason)
def check_perfect_heuristic(content, props):
plan_length = props.get('plan_length')
expansions = props.get('expansions')
if plan_length != None:
perfect_heuristic = False
if plan_length + 1 == expansions:
perfect_heuristic = True
props['perfect_heuristic'] = perfect_heuristic
parser.add_function(check_perfect_heuristic)
def check_proved_unsolvability(content, props):
proved_unsolvability = False
if props['coverage'] == 0:
for line in content.splitlines():
if line == 'Completely explored state space -- no solution!':
proved_unsolvability = True
break
props['proved_unsolvability'] = proved_unsolvability
parser.add_function(check_proved_unsolvability)
parser.parse()
| 2,816 |
Python
| 37.589041 | 139 | 0.669389 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue668/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows how a specific attribute in two
configurations. The attribute value in config 1 is shown on the
x-axis and the relation to the value in config 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['config'] == self.configs[0] and
run2['config'] == self.configs[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.configs[0], val1)
assert val2 > 0, (domain, problem, self.configs[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlots use log-scaling on the x-axis by default.
default_xscale = 'log'
if self.attribute and self.attribute in self.LINEAR:
default_xscale = 'linear'
PlotReport._set_scales(self, xscale or default_xscale, 'log')
| 3,921 |
Python
| 35.654205 | 84 | 0.597042 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue988/v1-satisficing.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
DIR = os.path.dirname(os.path.abspath(__file__))
SCRIPT_NAME = os.path.splitext(os.path.basename(__file__))[0]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue988-base", "issue988-v1"]
CONFIGS = [
IssueConfig("lama-first", [],
driver_options=["--alias", "lama-first"]),
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.ANYTIME_SEARCH_PARSER)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_comparison_table_step()
exp.add_scatter_plot_step(relative=True, attributes=["total_time"])
exp.run_steps()
| 1,366 |
Python
| 24.314814 | 68 | 0.724012 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue988/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'agricola-opt18-strips', 'airport', 'barman-opt11-strips',
'barman-opt14-strips', 'blocks', 'childsnack-opt14-strips',
'data-network-opt18-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'organic-synthesis-opt18-strips',
'organic-synthesis-split-opt18-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'petri-net-alignment-opt18-strips',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-small', 'rovers',
'satellite', 'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'snake-opt18-strips', 'sokoban-opt08-strips',
'sokoban-opt11-strips', 'spider-opt18-strips', 'storage',
'termes-opt18-strips', 'tetris-opt14-strips',
'tidybot-opt11-strips', 'tidybot-opt14-strips', 'tpp',
'transport-opt08-strips', 'transport-opt11-strips',
'transport-opt14-strips', 'trucks-strips', 'visitall-opt11-strips',
'visitall-opt14-strips', 'woodworking-opt08-strips',
'woodworking-opt11-strips', 'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'agricola-sat18-strips', 'airport', 'assembly',
'barman-sat11-strips', 'barman-sat14-strips', 'blocks',
'caldera-sat18-adl', 'caldera-split-sat18-adl', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl',
'data-network-sat18-strips', 'depot', 'driverlog',
'elevators-sat08-strips', 'elevators-sat11-strips',
'flashfill-sat18-adl', 'floortile-sat11-strips',
'floortile-sat14-strips', 'freecell', 'ged-sat14-strips', 'grid',
'gripper', 'hiking-sat14-strips', 'logistics00', 'logistics98',
'maintenance-sat14-adl', 'miconic', 'miconic-fulladl',
'miconic-simpleadl', 'movie', 'mprime', 'mystery',
'nomystery-sat11-strips', 'nurikabe-sat18-adl', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-sat18-strips', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'settlers-sat18-adl', 'snake-sat18-strips', 'sokoban-sat08-strips',
'sokoban-sat11-strips', 'spider-sat18-strips', 'storage',
'termes-sat18-strips', 'tetris-sat14-strips',
'thoughtful-sat14-strips', 'tidybot-sat11-strips', 'tpp',
'transport-sat08-strips', 'transport-sat11-strips',
'transport-sat14-strips', 'trucks', 'trucks-strips',
'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".git" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".git")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"generated",
"memory",
"planner_memory",
"planner_time",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None, additional=[]):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute, config_nick2=None):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
if config_nick2 is not None:
name += "-" + config_nick2
print("Make scatter plot for", name)
algo1 = get_algo_nick(rev1, config_nick)
algo2 = get_algo_nick(rev2, config_nick if config_nick2 is None else config_nick2)
report = ScatterPlotReport(
filter_algorithm=[algo1, algo2],
attributes=[attribute],
relative=relative,
get_category=lambda run1, run2: run1["domain"])
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
print(config)
for rev1, rev2 in itertools.combinations(self._revisions, 2):
print(rev1, rev2)
for attribute in self.get_supported_attributes(
config.nick, attributes):
print(attribute)
make_scatter_plot(config.nick, rev1, rev2, attribute)
for nick1, nick2, rev1, rev2, attribute in additional:
make_scatter_plot(nick1, rev1, rev2, attribute, config_nick2=nick2)
self.add_step(step_name, make_scatter_plots)
| 15,080 |
Python
| 36.796992 | 94 | 0.616048 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue988/v1-optimal.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
DIR = os.path.dirname(os.path.abspath(__file__))
SCRIPT_NAME = os.path.splitext(os.path.basename(__file__))[0]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue988-base", "issue988-v1"]
CONFIGS = [
IssueConfig("seq-opt-bjolp", [],
driver_options=["--alias", "seq-opt-bjolp"]),
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_comparison_table_step()
exp.run_steps()
| 1,262 |
Python
| 23.288461 | 68 | 0.7187 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue123/issue123.py
|
#! /usr/bin/env python
from standard_experiment import REMOTE, get_exp
from downward import suites
#from lab.reports import Attribute, avg
import os.path
# Set the following variables for the experiment
REPO_NAME = 'fd-issue123'
# revisions, e.g. ['3d6c1ccacdce']
REVISIONS = ['issue123-base']
# suites, e.g. ['gripper:prob01.pddl', 'zenotravel:pfile1'] or suites.suite_satisficing_with_ipc11()
LOCAL_SUITE = ['depot:pfile1']
GRID_SUITE = suites.suite_satisficing_with_ipc11()
# configs, e.g. '--search', 'astar(lmcut())' for config
CONFIGS = {
'lama-2011': [
"--if-unit-cost",
"--heuristic",
"hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true))",
"--search", "iterated(["
" lazy_greedy([hff,hlm],preferred=[hff,hlm]),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=5),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=3),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=2),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=1)"
" ],repeat_last=true,continue_on_fail=true)",
"--if-non-unit-cost",
"--heuristic",
"hlm1,hff1=lm_ff_syn(lm_rhw(reasonable_orders=true,"
" lm_cost_type=one,cost_type=one))",
"--heuristic",
"hlm2,hff2=lm_ff_syn(lm_rhw(reasonable_orders=true,"
" lm_cost_type=plusone,cost_type=plusone))",
"--search", "iterated(["
" lazy_greedy([hff1,hlm1],preferred=[hff1,hlm1],"
" cost_type=one,reopen_closed=false),"
" lazy_greedy([hff2,hlm2],preferred=[hff2,hlm2],"
" reopen_closed=false),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=5),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=3),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=2),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=1)"
" ],repeat_last=true,continue_on_fail=true)",
],
'lama-2011-first-it': [
"--heuristic",
"hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,"
" lm_cost_type=one,cost_type=one))",
"--search",
"lazy_greedy([hff,hlm],preferred=[hff,hlm],cost_type=one)"
],
'lama-2011-separated': [
"--if-unit-cost",
"--heuristic",
"hlm=lmcount(lm_rhw(reasonable_orders=true),pref=true)",
"--heuristic",
"hff=ff()",
"--search", "iterated(["
" lazy_greedy([hff,hlm],preferred=[hff,hlm]),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=5),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=3),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=2),"
" lazy_wastar([hff,hlm],preferred=[hff,hlm],w=1)"
" ],repeat_last=true,continue_on_fail=true)",
"--if-non-unit-cost",
"--heuristic",
"hlm1=lmcount(lm_rhw(reasonable_orders=true,"
" lm_cost_type=one,cost_type=one),"
" pref=true,cost_type=one)",
"--heuristic",
"hff1=ff(cost_type=one)",
"--heuristic",
"hlm2=lmcount(lm_rhw(reasonable_orders=true,"
" lm_cost_type=plusone,cost_type=plusone),"
" pref=true,cost_type=plusone)",
"--heuristic",
"hff2=ff(cost_type=plusone)",
"--search", "iterated(["
" lazy_greedy([hff1,hlm1],preferred=[hff1,hlm1],"
" cost_type=one,reopen_closed=false),"
" lazy_greedy([hff2,hlm2],preferred=[hff2,hlm2],"
" reopen_closed=false),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=5),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=3),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=2),"
" lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],w=1)"
" ],repeat_last=true,continue_on_fail=true)",
],
'lama-2011-first-it-separated': [
"--heuristic",
"hlm=lmcount(lm_rhw(reasonable_orders=true,"
" lm_cost_type=one,cost_type=one),"
" pref=true,cost_type=one)",
"--heuristic",
"hff=ff(cost_type=one)",
"--search",
"lazy_greedy([hff,hlm],preferred=[hff,hlm],cost_type=one)",
],
}
# limits, e.g. { 'search_time': 120 }
LIMITS = None
# for 'make debug', set to True.
COMPILATION_OPTION = None #(default: 'release')
# choose any lower priority if whished
PRIORITY = None #(default: 0)
# Do not change anything below here
SCRIPT_PATH = os.path.abspath(__file__)
if REMOTE:
SUITE = GRID_SUITE
REPO = os.path.expanduser('~/repos/' + REPO_NAME)
else:
SUITE = LOCAL_SUITE
REPO = os.path.expanduser('~/work/' + REPO_NAME)
# Create the experiment. Add parsers, fetchers or reports...
exp = get_exp(script_path=SCRIPT_PATH, repo=REPO, suite=SUITE,
configs=CONFIGS, revisions=REVISIONS, limits=LIMITS,
compilation_option=COMPILATION_OPTION, priority=PRIORITY)
exp.add_score_attributes()
exp.add_extra_attributes(['quality'])
REV = REVISIONS[0]
configs_lama = [('%s-lama-2011' % REV, '%s-lama-2011-separated' % REV)]
exp.add_configs_report(compared_configs=configs_lama, name='lama')
configs_lama_first_it = [('%s-lama-2011-first-it' % REV, '%s-lama-2011-first-it-separated' % REV)]
exp.add_configs_report(compared_configs=configs_lama_first_it, name='lama-first-it')
exp.add_absolute_report()
exp()
| 5,928 |
Python
| 41.049645 | 100 | 0.529184 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue392/lama-nonunit.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
REVS = ["issue392-v2"]
LIMITS = {"search_time": 300}
CONFIGS = {}
for randomize in ["false", "true"]:
for pref_first in ["false", "true"]:
CONFIGS["lama-nonunit-randomize-%(randomize)s-pref_first-%(pref_first)s" % locals()] = [
"--heuristic", "hlm1,hff1=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=ONE,cost_type=ONE))",
"--heuristic", "hlm2,hff2=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=PLUSONE,cost_type=PLUSONE))",
"--search",
"iterated(["
"lazy_greedy([hff1,hlm1],preferred=[hff1,hlm1],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,cost_type=ONE,reopen_closed=false),"
"lazy_greedy([hff2,hlm2],preferred=[hff2,hlm2],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,reopen_closed=false),"
"lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=5),"
"lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=3),"
"lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=2),"
"lazy_wastar([hff2,hlm2],preferred=[hff2,hlm2],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=1)],"
"repeat_last=true,continue_on_fail=true)" % locals()
]
SUITE = sorted(set(suites.suite_satisficing_with_ipc11()) &
set(suites.suite_diverse_costs()))
exp = common_setup.IssueExperiment(
revisions=REVS,
configs=CONFIGS,
suite=SUITE,
limits=LIMITS,
)
exp.add_absolute_report_step()
exp()
| 1,902 |
Python
| 43.255813 | 176 | 0.650368 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue392/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import sys
from lab.environments import LocalEnvironment, MaiaEnvironment
from lab.experiment import ARGPARSER
from lab.steps import Step
from downward.experiments import DownwardExperiment, _get_rev_nick
from downward.checkouts import Translator, Preprocessor, Planner
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import CompareRevisionsReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
def get_script():
"""Get file name of main script."""
import __main__
return __main__.__file__
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return ("cluster" in node or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (ARGS.test_run == "auto" and
not is_running_on_cluster())
class IssueExperiment(DownwardExperiment):
"""Wrapper for DownwardExperiment with a few convenience features."""
DEFAULT_TEST_SUITE = "gripper:prob01.pddl"
# TODO: Add something about errors/exit codes.
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"plan_length",
]
def __init__(self, configs, suite, grid_priority=None, path=None,
repo=None, revisions=None, search_revisions=None,
test_suite=None, **kwargs):
"""Create a DownwardExperiment with some convenience features.
*configs* must be a non-empty dict of {nick: cmdline} pairs
that sets the planner configurations to test. ::
IssueExperiment(configs={
"lmcut": ["--search", "astar(lmcut())"],
"ipdb": ["--search", "astar(ipdb())"]})
*suite* sets the benchmarks for the experiment. It must be a
single string or a list of strings specifying domains or
tasks. The downward.suites module has many predefined
suites. ::
IssueExperiment(suite=["grid", "gripper:prob01.pddl"])
from downward import suites
IssueExperiment(suite=suites.suite_all())
IssueExperiment(suite=suites.suite_satisficing_with_ipc11())
IssueExperiment(suite=suites.suite_optimal())
Use *grid_priority* to set the job priority for cluster
experiments. It must be in the range [-1023, 0] where 0 is the
highest priority. By default the priority is 0. ::
IssueExperiment(grid_priority=-500)
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
If *repo* is specified, it must be the path to the root of a
local Fast Downward repository. If omitted, the repository
is derived automatically from the main script's path. Example::
script = /path/to/fd-repo/experiments/issue123/exp01.py -->
repo = /path/to/fd-repo
If *revisions* is specified, it should be a non-empty
list of revisions, which specify which planner versions to use
in the experiment. The same versions are used for translator,
preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"])
If *search_revisions* is specified, it should be a non-empty
list of revisions, which specify which search component
versions to use in the experiment. All runs use the
translator and preprocessor component of the first
revision. ::
IssueExperiment(search_revisions=["default", "issue123"])
If you really need to specify the (translator, preprocessor,
planner) triples manually, use the *combinations* parameter
from the base class (might be deprecated soon). The options
*revisions*, *search_revisions* and *combinations* can be
freely mixed, but at least one of them must be given.
Specify *test_suite* to set the benchmarks for experiment test
runs. By default the first gripper task is used.
IssueExperiment(test_suite=["depot:pfile1", "tpp:p01.pddl"])
"""
if is_test_run():
kwargs["environment"] = LocalEnvironment()
suite = test_suite or self.DEFAULT_TEST_SUITE
elif "environment" not in kwargs:
kwargs["environment"] = MaiaEnvironment(priority=grid_priority)
if path is None:
path = get_data_dir()
if repo is None:
repo = get_repo_base()
kwargs.setdefault("combinations", [])
if not any([revisions, search_revisions, kwargs["combinations"]]):
raise ValueError('At least one of "revisions", "search_revisions" '
'or "combinations" must be given')
if revisions:
kwargs["combinations"].extend([
(Translator(repo, rev),
Preprocessor(repo, rev),
Planner(repo, rev))
for rev in revisions])
if search_revisions:
base_rev = search_revisions[0]
# Use the same nick for all parts to get short revision nick.
kwargs["combinations"].extend([
(Translator(repo, base_rev, nick=rev),
Preprocessor(repo, base_rev, nick=rev),
Planner(repo, rev, nick=rev))
for rev in search_revisions])
DownwardExperiment.__init__(self, path=path, repo=repo, **kwargs)
self._config_nicks = []
for nick, config in configs.items():
self.add_config(nick, config)
self.add_suite(suite)
@property
def revision_nicks(self):
# TODO: Once the add_algorithm() API is available we should get
# rid of the call to _get_rev_nick() and avoid inspecting the
# list of combinations by setting and saving the algorithm nicks.
return [_get_rev_nick(*combo) for combo in self.combinations]
def add_config(self, nick, config, timeout=None):
DownwardExperiment.add_config(self, nick, config, timeout=timeout)
self._config_nicks.append(nick)
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't
compare revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If
the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = get_experiment_name() + "." + report.output_format
self.add_report(report, outfile=outfile)
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revision triples. Each report pairs up the runs of the same
config and lists the two absolute attribute values and their
difference for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareRevisionsReport
class. If the keyword argument *attributes* is not
specified, a default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self.revision_nicks, 2):
report = CompareRevisionsReport(rev1, rev2, **kwargs)
outfile = os.path.join(self.eval_dir,
"%s-%s-compare.html" % (rev1, rev2))
report(self.eval_dir, outfile)
self.add_step(Step("make-comparison-tables", make_comparison_tables))
def add_scatter_plot_step(self, attributes=None):
"""Add a step that creates scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revision pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
scatter_dir = os.path.join(self.eval_dir, "scatter")
def is_portfolio(config_nick):
return "fdss" in config_nick
def make_scatter_plots():
for config_nick in self._config_nicks:
for rev1, rev2 in itertools.combinations(
self.revision_nicks, 2):
algo1 = "%s-%s" % (rev1, config_nick)
algo2 = "%s-%s" % (rev2, config_nick)
if is_portfolio(config_nick):
valid_attributes = [
attr for attr in attributes
if attr in self.PORTFOLIO_ATTRIBUTES]
else:
valid_attributes = attributes
for attribute in valid_attributes:
name = "-".join([rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
report = ScatterPlotReport(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(self.eval_dir, os.path.join(scatter_dir, name))
self.add_step(Step("make-scatter-plots", make_scatter_plots))
| 12,677 |
Python
| 35.431034 | 79 | 0.607715 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue392/lama-unit.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
REVS = ["issue392-v2"]
LIMITS = {"search_time": 300}
CONFIGS = {}
for randomize in ["false", "true"]:
for pref_first in ["false", "true"]:
CONFIGS["lama-unit-randomize-%(randomize)s-pref_first-%(pref_first)s" % locals()] = [
"--heuristic",
"hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=PLUSONE,cost_type=PLUSONE))",
"--search",
"iterated(["
"lazy_greedy([hff,hlm],preferred=[hff,hlm],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s),"
"lazy_wastar([hff,hlm],preferred=[hff,hlm],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=5),"
"lazy_wastar([hff,hlm],preferred=[hff,hlm],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=3),"
"lazy_wastar([hff,hlm],preferred=[hff,hlm],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=2),"
"lazy_wastar([hff,hlm],preferred=[hff,hlm],randomize_successors=%(randomize)s,preferred_successors_first=%(pref_first)s,w=1)],"
"repeat_last=true,continue_on_fail=true)" % locals()
]
SUITE = sorted(set(suites.suite_satisficing_with_ipc11()) &
set(suites.suite_unit_costs()))
exp = common_setup.IssueExperiment(
revisions=REVS,
configs=CONFIGS,
suite=SUITE,
limits=LIMITS,
)
exp.add_absolute_report_step()
exp()
| 1,532 |
Python
| 35.499999 | 139 | 0.648172 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue1000/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'agricola-opt18-strips', 'airport', 'barman-opt11-strips',
'barman-opt14-strips', 'blocks', 'childsnack-opt14-strips',
'data-network-opt18-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'organic-synthesis-opt18-strips',
'organic-synthesis-split-opt18-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'petri-net-alignment-opt18-strips',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-small', 'rovers',
'satellite', 'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'snake-opt18-strips', 'sokoban-opt08-strips',
'sokoban-opt11-strips', 'spider-opt18-strips', 'storage',
'termes-opt18-strips', 'tetris-opt14-strips',
'tidybot-opt11-strips', 'tidybot-opt14-strips', 'tpp',
'transport-opt08-strips', 'transport-opt11-strips',
'transport-opt14-strips', 'trucks-strips', 'visitall-opt11-strips',
'visitall-opt14-strips', 'woodworking-opt08-strips',
'woodworking-opt11-strips', 'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'agricola-sat18-strips', 'airport', 'assembly',
'barman-sat11-strips', 'barman-sat14-strips', 'blocks',
'caldera-sat18-adl', 'caldera-split-sat18-adl', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl',
'data-network-sat18-strips', 'depot', 'driverlog',
'elevators-sat08-strips', 'elevators-sat11-strips',
'flashfill-sat18-adl', 'floortile-sat11-strips',
'floortile-sat14-strips', 'freecell', 'ged-sat14-strips', 'grid',
'gripper', 'hiking-sat14-strips', 'logistics00', 'logistics98',
'maintenance-sat14-adl', 'miconic', 'miconic-fulladl',
'miconic-simpleadl', 'movie', 'mprime', 'mystery',
'nomystery-sat11-strips', 'nurikabe-sat18-adl', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-sat18-strips', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'settlers-sat18-adl', 'snake-sat18-strips', 'sokoban-sat08-strips',
'sokoban-sat11-strips', 'spider-sat18-strips', 'storage',
'termes-sat18-strips', 'tetris-sat14-strips',
'thoughtful-sat14-strips', 'tidybot-sat11-strips', 'tpp',
'transport-sat08-strips', 'transport-sat11-strips',
'transport-sat14-strips', 'trucks', 'trucks-strips',
'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".git" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".git")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"generated",
"memory",
"planner_memory",
"planner_time",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None, additional=[]):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute, config_nick2=None):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
if config_nick2 is not None:
name += "-" + config_nick2
print("Make scatter plot for", name)
algo1 = get_algo_nick(rev1, config_nick)
algo2 = get_algo_nick(rev2, config_nick if config_nick2 is None else config_nick2)
report = ScatterPlotReport(
filter_algorithm=[algo1, algo2],
attributes=[attribute],
relative=relative,
get_category=lambda run1, run2: run1["domain"])
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
print(config)
for rev1, rev2 in itertools.combinations(self._revisions, 2):
print(rev1, rev2)
for attribute in self.get_supported_attributes(
config.nick, attributes):
print(attribute)
make_scatter_plot(config.nick, rev1, rev2, attribute)
for nick1, nick2, rev1, rev2, attribute in additional:
make_scatter_plot(nick1, rev1, rev2, attribute, config_nick2=nick2)
self.add_step(step_name, make_scatter_plots)
| 15,080 |
Python
| 36.796992 | 94 | 0.616048 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue1000/v14-optimal.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
DIR = os.path.dirname(os.path.abspath(__file__))
SCRIPT_NAME = os.path.splitext(os.path.basename(__file__))[0]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue1000-base", "issue1000-v14"]
CONFIGS = [
IssueConfig("seq-opt-bjolp", [],
driver_options=["--alias", "seq-opt-bjolp"]),
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_comparison_table_step()
exp.run_steps()
| 1,266 |
Python
| 22.90566 | 68 | 0.718799 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue1000/v14-satisficing.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
DIR = os.path.dirname(os.path.abspath(__file__))
SCRIPT_NAME = os.path.splitext(os.path.basename(__file__))[0]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue1000-base", "issue1000-v14"]
CONFIGS = [
IssueConfig("lama-first", [],
driver_options=["--alias", "lama-first"]),
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.ANYTIME_SEARCH_PARSER)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_comparison_table_step()
exp.run_steps()
| 1,306 |
Python
| 23.203703 | 68 | 0.722818 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue1000/satisficing.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
def make_comparison_table():
report = common_setup.ComparativeReport(
algorithm_pairs=[
("issue1000-base-lama-first", "issue1000-v11-lama-first"),
("issue1000-base-lama-first", "issue1000-v12-lama-first"),
("issue1000-base-lama-first", "issue1000-v13-lama-first"),
], attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES,
)
outfile = os.path.join(
exp.eval_dir, "%s-compare.%s" % (exp.name, report.output_format)
)
report(exp.eval_dir, outfile)
exp.add_report(report)
DIR = os.path.dirname(os.path.abspath(__file__))
SCRIPT_NAME = os.path.splitext(os.path.basename(__file__))[0]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue1000-base", "issue1000-v11", "issue1000-v12",
"issue1000-v13"]
CONFIGS = [
IssueConfig("lama-first", [],
driver_options=["--alias", "lama-first"]),
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.ANYTIME_SEARCH_PARSER)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_step("comparison table", make_comparison_table)
exp.run_steps()
| 1,931 |
Python
| 26.211267 | 72 | 0.691352 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue1000/optimal.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
def make_comparison_table():
report = common_setup.ComparativeReport(
algorithm_pairs=[
("issue1000-base-seq-opt-bjolp", "issue1000-v11-seq-opt-bjolp"),
("issue1000-base-seq-opt-bjolp", "issue1000-v12-seq-opt-bjolp"),
("issue1000-base-seq-opt-bjolp", "issue1000-v13-seq-opt-bjolp"),
], attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES,
)
outfile = os.path.join(
exp.eval_dir, "%s-compare.%s" % (exp.name, report.output_format)
)
report(exp.eval_dir, outfile)
exp.add_report(report)
DIR = os.path.dirname(os.path.abspath(__file__))
SCRIPT_NAME = os.path.splitext(os.path.basename(__file__))[0]
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue1000-base", "issue1000-v11", "issue1000-v12",
"issue1000-v13"]
CONFIGS = [
IssueConfig("seq-opt-bjolp", [],
driver_options=["--alias", "seq-opt-bjolp"]),
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"],
)
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=2)
exp = common_setup.IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
exp.add_step("comparison table", make_comparison_table)
exp.run_steps()
| 1,909 |
Python
| 26.285714 | 76 | 0.687795 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue735/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'airport', 'barman-opt11-strips', 'barman-opt14-strips', 'blocks',
'childsnack-opt14-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'pipesworld-notankage',
'pipesworld-tankage', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'sokoban-opt08-strips', 'sokoban-opt11-strips', 'storage',
'tetris-opt14-strips', 'tidybot-opt11-strips',
'tidybot-opt14-strips', 'tpp', 'transport-opt08-strips',
'transport-opt11-strips', 'transport-opt14-strips',
'trucks-strips', 'visitall-opt11-strips', 'visitall-opt14-strips',
'woodworking-opt08-strips', 'woodworking-opt11-strips',
'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'airport', 'assembly', 'barman-sat11-strips',
'barman-sat14-strips', 'blocks', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl', 'depot',
'driverlog', 'elevators-sat08-strips', 'elevators-sat11-strips',
'floortile-sat11-strips', 'floortile-sat14-strips', 'freecell',
'ged-sat14-strips', 'grid', 'gripper', 'hiking-sat14-strips',
'logistics00', 'logistics98', 'maintenance-sat14-adl', 'miconic',
'miconic-fulladl', 'miconic-simpleadl', 'movie', 'mprime',
'mystery', 'nomystery-sat11-strips', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'sokoban-sat08-strips', 'sokoban-sat11-strips', 'storage',
'tetris-sat14-strips', 'thoughtful-sat14-strips',
'tidybot-sat11-strips', 'tpp', 'transport-sat08-strips',
'transport-sat11-strips', 'transport-sat14-strips', 'trucks',
'trucks-strips', 'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return (
"cluster" in node or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,171 |
Python
| 35.715026 | 79 | 0.613859 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue735/custom-parser.py
|
#! /usr/bin/env python
from lab.parser import Parser
def add_dominance_pruning_failed(content, props):
if "dominance_pruning=False" in content:
failed = False
elif "pdb_collection_construction_time" not in props:
failed = False
else:
failed = "dominance_pruning_time" not in props
props["dominance_pruning_failed"] = int(failed)
def main():
print "Running custom parser"
parser = Parser()
parser.add_pattern(
"pdb_collection_construction_time", "^PDB collection construction time: (.+)s$", type=float, flags="M", required=False)
parser.add_pattern(
"dominance_pruning_time", "^Dominance pruning took (.+)s$", type=float, flags="M", required=False)
parser.add_pattern(
"dominance_pruning_pruned_subsets", "Pruned (\d+) of \d+ maximal additive subsets", type=int, required=False)
parser.add_pattern(
"dominance_pruning_pruned_pdbs", "Pruned (\d+) of \d+ PDBs", type=int, required=False)
parser.add_function(add_dominance_pruning_failed)
parser.parse()
main()
| 1,069 |
Python
| 31.424241 | 127 | 0.667914 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue735/v3-no-pruning.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue735-v3"]
BUILD_OPTIONS = ["release32nolp"]
DRIVER_OPTIONS = ["--build", "release32nolp"]
CONFIGS = [
IssueConfig(
"cpdbs-{nick}-pruning-{pruning}".format(**locals()),
["--search", "astar(cpdbs({generator}, dominance_pruning={pruning}))".format(**locals())],
build_options=BUILD_OPTIONS,
driver_options=DRIVER_OPTIONS)
for nick, generator in [("sys2", "systematic(2)"), ("hc", "hillclimbing(max_time=900)")]
for pruning in [False, True]
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
IssueExperiment.DEFAULT_TABLE_ATTRIBUTES += [
"dominance_pruning_failed",
"dominance_pruning_time",
"dominance_pruning_pruned_subsets",
"dominance_pruning_pruned_pdbs",
"pdb_collection_construction_time"]
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_resource("custom_parser", "custom-parser.py")
exp.add_command("run-custom-parser", ["{custom_parser}"])
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
exp.run_steps()
| 1,703 |
Python
| 30.555555 | 98 | 0.714621 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue735/v1.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue735-base", "issue735-v1"]
BUILD_OPTIONS = ["release32nolp"]
DRIVER_OPTIONS = ["--build", "release32nolp", "--search-time-limit", "30m"]
CONFIGS = [
IssueConfig(
"cpdbs-sys2",
["--search", "astar(cpdbs(systematic(2)))"],
build_options=BUILD_OPTIONS,
driver_options=DRIVER_OPTIONS),
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
IssueExperiment.DEFAULT_TABLE_ATTRIBUTES += [
"dominance_pruning_failed",
"dominance_pruning_time",
"dominance_pruning_pruned_subsets",
"dominance_pruning_pruned_pdbs",
"pdb_collection_construction_time"]
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_resource("custom_parser", "custom-parser.py")
exp.add_command("run-custom-parser", ["{custom_parser}"])
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_fetcher(name="parse-again", parsers=["custom-parser.py"])
exp.add_absolute_report_step()
exp.add_comparison_table_step()
for attribute in ["total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain"),
),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS)
)
exp.run_steps()
| 2,047 |
Python
| 31 | 93 | 0.681485 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue735/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue735/v3.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue735-base", "issue735-v1", "issue735-v2", "issue735-v3"]
BUILD_OPTIONS = ["release32nolp"]
DRIVER_OPTIONS = ["--build", "release32nolp"]
CONFIGS = [
IssueConfig(
"cpdbs-sys2",
["--search", "astar(cpdbs(systematic(2)))"],
build_options=BUILD_OPTIONS,
driver_options=DRIVER_OPTIONS),
IssueConfig(
"cpdbs-hc",
["--search", "astar(cpdbs(hillclimbing(max_time=900)))"],
build_options=BUILD_OPTIONS,
driver_options=DRIVER_OPTIONS),
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = BaselSlurmEnvironment(
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
IssueExperiment.DEFAULT_TABLE_ATTRIBUTES += [
"dominance_pruning_failed",
"dominance_pruning_time",
"dominance_pruning_pruned_subsets",
"dominance_pruning_pruned_pdbs",
"pdb_collection_construction_time"]
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_algorithm(
"issue735-v3:cpdbs-sys2-debug",
common_setup.get_repo_base(),
"issue735-v3",
["--search", "astar(cpdbs(systematic(2)))"],
build_options=["debug32nolp"],
driver_options=["--build", "debug32nolp"])
exp.add_resource("custom_parser", "custom-parser.py")
exp.add_command("run-custom-parser", ["{custom_parser}"])
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
for attribute in ["total_time"]:
for config in CONFIGS:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=["{}-{}".format(rev, config.nick) for rev in REVISIONS],
get_category=lambda run1, run2: run1.get("domain"),
),
outfile="{}-{}-{}-{}-{}.png".format(exp.name, attribute, config.nick, *REVISIONS)
)
exp.run_steps()
| 2,400 |
Python
| 31.013333 | 93 | 0.66875 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue468/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import sys
from lab.environments import LocalEnvironment, MaiaEnvironment
from lab.experiment import ARGPARSER
from lab.steps import Step
from downward.experiments import DownwardExperiment, _get_rev_nick
from downward.checkouts import Translator, Preprocessor, Planner
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import CompareRevisionsReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
def get_script():
"""Get file name of main script."""
import __main__
return __main__.__file__
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return (node.endswith("cluster") or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (ARGS.test_run == "auto" and
not is_running_on_cluster())
class IssueExperiment(DownwardExperiment):
"""Wrapper for DownwardExperiment with a few convenience features."""
DEFAULT_TEST_SUITE = "gripper:prob01.pddl"
# TODO: Once we have reference results, we should add "quality".
# TODO: Add something about errors/exit codes.
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"plan_length",
]
def __init__(self, configs, suite, grid_priority=None, path=None,
repo=None, revisions=None, search_revisions=None,
test_suite=None, **kwargs):
"""Create a DownwardExperiment with some convenience features.
*configs* must be a non-empty dict of {nick: cmdline} pairs
that sets the planner configurations to test. ::
IssueExperiment(configs={
"lmcut": ["--search", "astar(lmcut())"],
"ipdb": ["--search", "astar(ipdb())"]})
*suite* sets the benchmarks for the experiment. It must be a
single string or a list of strings specifying domains or
tasks. The downward.suites module has many predefined
suites. ::
IssueExperiment(suite=["grid", "gripper:prob01.pddl"])
from downward import suites
IssueExperiment(suite=suites.suite_all())
IssueExperiment(suite=suites.suite_satisficing_with_ipc11())
IssueExperiment(suite=suites.suite_optimal())
Use *grid_priority* to set the job priority for cluster
experiments. It must be in the range [-1023, 0] where 0 is the
highest priority. By default the priority is 0. ::
IssueExperiment(grid_priority=-500)
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
If *repo* is specified, it must be the path to the root of a
local Fast Downward repository. If omitted, the repository
is derived automatically from the main script's path. Example::
script = /path/to/fd-repo/experiments/issue123/exp01.py -->
repo = /path/to/fd-repo
If *revisions* is specified, it should be a non-empty
list of revisions, which specify which planner versions to use
in the experiment. The same versions are used for translator,
preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"])
If *search_revisions* is specified, it should be a non-empty
list of revisions, which specify which search component
versions to use in the experiment. All runs use the
translator and preprocessor component of the first
revision. ::
IssueExperiment(search_revisions=["default", "issue123"])
If you really need to specify the (translator, preprocessor,
planner) triples manually, use the *combinations* parameter
from the base class (might be deprecated soon). The options
*revisions*, *search_revisions* and *combinations* can be
freely mixed, but at least one of them must be given.
Specify *test_suite* to set the benchmarks for experiment test
runs. By default the first gripper task is used.
IssueExperiment(test_suite=["depot:pfile1", "tpp:p01.pddl"])
"""
if is_test_run():
kwargs["environment"] = LocalEnvironment()
suite = test_suite or self.DEFAULT_TEST_SUITE
elif "environment" not in kwargs:
kwargs["environment"] = MaiaEnvironment(priority=grid_priority)
if path is None:
path = get_data_dir()
if repo is None:
repo = get_repo_base()
kwargs.setdefault("combinations", [])
if not any([revisions, search_revisions, kwargs["combinations"]]):
raise ValueError('At least one of "revisions", "search_revisions" '
'or "combinations" must be given')
if revisions:
kwargs["combinations"].extend([
(Translator(repo, rev),
Preprocessor(repo, rev),
Planner(repo, rev))
for rev in revisions])
if search_revisions:
base_rev = search_revisions[0]
# Use the same nick for all parts to get short revision nick.
kwargs["combinations"].extend([
(Translator(repo, base_rev, nick=rev),
Preprocessor(repo, base_rev, nick=rev),
Planner(repo, rev, nick=rev))
for rev in search_revisions])
DownwardExperiment.__init__(self, path=path, repo=repo, **kwargs)
self._config_nicks = []
for nick, config in configs.items():
self.add_config(nick, config)
self.add_suite(suite)
@property
def revision_nicks(self):
# TODO: Once the add_algorithm() API is available we should get
# rid of the call to _get_rev_nick() and avoid inspecting the
# list of combinations by setting and saving the algorithm nicks.
return [_get_rev_nick(*combo) for combo in self.combinations]
def add_config(self, nick, config, timeout=None):
DownwardExperiment.add_config(self, nick, config, timeout=timeout)
self._config_nicks.append(nick)
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't
compare revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If
the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = get_experiment_name() + "." + report.output_format
self.add_report(report, outfile=outfile)
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revision triples. Each report pairs up the runs of the same
config and lists the two absolute attribute values and their
difference for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareRevisionsReport
class. If the keyword argument *attributes* is not
specified, a default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self.revision_nicks, 2):
report = CompareRevisionsReport(rev1, rev2, **kwargs)
outfile = os.path.join(self.eval_dir,
"%s-%s-compare.html" % (rev1, rev2))
report(self.eval_dir, outfile)
self.add_step(Step("make-comparison-tables", make_comparison_tables))
def add_scatter_plot_step(self, attributes=None):
"""Add a step that creates scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revision pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
scatter_dir = os.path.join(self.eval_dir, "scatter")
def is_portfolio(config_nick):
return "fdss" in config_nick
def make_scatter_plots():
for config_nick in self._config_nicks:
for rev1, rev2 in itertools.combinations(
self.revision_nicks, 2):
algo1 = "%s-%s" % (rev1, config_nick)
algo2 = "%s-%s" % (rev2, config_nick)
if is_portfolio(config_nick):
valid_attributes = [
attr for attr in attributes
if attr in self.PORTFOLIO_ATTRIBUTES]
else:
valid_attributes = attributes
for attribute in valid_attributes:
name = "-".join([rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
report = ScatterPlotReport(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(self.eval_dir, os.path.join(scatter_dir, name))
self.add_step(Step("make-scatter-plots", make_scatter_plots))
| 12,734 |
Python
| 35.594827 | 79 | 0.608685 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue468/issue468.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites
import common_setup
CONFIGS = {
'astar_lmcount_lm_merged_rhw_hm': [
'--search',
'astar(lmcount(lm_merged([lm_rhw(),lm_hm(m=1)]),admissible=true),mpd=true)'],
}
exp = common_setup.IssueExperiment(
search_revisions=["issue468-base", "issue468-v1"],
configs=CONFIGS,
suite=suites.suite_optimal_with_ipc11(),
)
exp.add_comparison_table_step()
exp()
| 462 |
Python
| 19.130434 | 85 | 0.640693 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue425/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import sys
from lab.environments import LocalEnvironment, MaiaEnvironment
from lab.experiment import ARGPARSER
from lab.steps import Step
from downward.experiments import DownwardExperiment, _get_rev_nick
from downward.checkouts import Translator, Preprocessor, Planner
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import CompareRevisionsReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
def get_script():
"""Get file name of main script."""
import __main__
return __main__.__file__
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return (node.endswith("cluster.bc2.ch") or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (ARGS.test_run == "auto" and
not is_running_on_cluster())
class IssueExperiment(DownwardExperiment):
"""Wrapper for DownwardExperiment with a few convenience features."""
DEFAULT_TEST_SUITE = "gripper:prob01.pddl"
# TODO: Once we have reference results, we should add "quality".
# TODO: Add something about errors/exit codes.
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"plan_length",
]
def __init__(self, configs, suite, grid_priority=None, path=None,
repo=None, revisions=None, search_revisions=None,
test_suite=None, **kwargs):
"""Create a DownwardExperiment with some convenience features.
*configs* must be a non-empty dict of {nick: cmdline} pairs
that sets the planner configurations to test. ::
IssueExperiment(configs={
"lmcut": ["--search", "astar(lmcut())"],
"ipdb": ["--search", "astar(ipdb())"]})
*suite* sets the benchmarks for the experiment. It must be a
single string or a list of strings specifying domains or
tasks. The downward.suites module has many predefined
suites. ::
IssueExperiment(suite=["grid", "gripper:prob01.pddl"])
from downward import suites
IssueExperiment(suite=suites.suite_all())
IssueExperiment(suite=suites.suite_satisficing_with_ipc11())
IssueExperiment(suite=suites.suite_optimal())
Use *grid_priority* to set the job priority for cluster
experiments. It must be in the range [-1023, 0] where 0 is the
highest priority. By default the priority is 0. ::
IssueExperiment(grid_priority=-500)
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
If *repo* is specified, it must be the path to the root of a
local Fast Downward repository. If omitted, the repository
is derived automatically from the main script's path. Example::
script = /path/to/fd-repo/experiments/issue123/exp01.py -->
repo = /path/to/fd-repo
If *revisions* is specified, it should be a non-empty
list of revisions, which specify which planner versions to use
in the experiment. The same versions are used for translator,
preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"])
If *search_revisions* is specified, it should be a non-empty
list of revisions, which specify which search component
versions to use in the experiment. All runs use the
translator and preprocessor component of the first
revision. ::
IssueExperiment(search_revisions=["default", "issue123"])
If you really need to specify the (translator, preprocessor,
planner) triples manually, use the *combinations* parameter
from the base class (might be deprecated soon). The options
*revisions*, *search_revisions* and *combinations* can be
freely mixed, but at least one of them must be given.
Specify *test_suite* to set the benchmarks for experiment test
runs. By default the first gripper task is used.
IssueExperiment(test_suite=["depot:pfile1", "tpp:p01.pddl"])
"""
if is_test_run():
kwargs["environment"] = LocalEnvironment()
suite = test_suite or self.DEFAULT_TEST_SUITE
elif "environment" not in kwargs:
kwargs["environment"] = MaiaEnvironment(priority=grid_priority)
if path is None:
path = get_data_dir()
if repo is None:
repo = get_repo_base()
kwargs.setdefault("combinations", [])
if not any([revisions, search_revisions, kwargs["combinations"]]):
raise ValueError('At least one of "revisions", "search_revisions" '
'or "combinations" must be given')
if revisions:
kwargs["combinations"].extend([
(Translator(repo, rev),
Preprocessor(repo, rev),
Planner(repo, rev))
for rev in revisions])
if search_revisions:
base_rev = search_revisions[0]
# Use the same nick for all parts to get short revision nick.
kwargs["combinations"].extend([
(Translator(repo, base_rev, nick=rev),
Preprocessor(repo, base_rev, nick=rev),
Planner(repo, rev, nick=rev))
for rev in search_revisions])
DownwardExperiment.__init__(self, path=path, repo=repo, **kwargs)
self._config_nicks = []
for nick, config in configs.items():
self.add_config(nick, config)
self.add_suite(suite)
@property
def revision_nicks(self):
# TODO: Once the add_algorithm() API is available we should get
# rid of the call to _get_rev_nick() and avoid inspecting the
# list of combinations by setting and saving the algorithm nicks.
return [_get_rev_nick(*combo) for combo in self.combinations]
def add_config(self, nick, config, timeout=None):
DownwardExperiment.add_config(self, nick, config, timeout=timeout)
self._config_nicks.append(nick)
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't
compare revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If
the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = get_experiment_name() + "." + report.output_format
self.add_report(report, outfile=outfile)
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revision triples. Each report pairs up the runs of the same
config and lists the two absolute attribute values and their
difference for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareRevisionsReport
class. If the keyword argument *attributes* is not
specified, a default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self.revision_nicks, 2):
report = CompareRevisionsReport(rev1, rev2, **kwargs)
outfile = os.path.join(self.eval_dir,
"%s-%s-compare.html" % (rev1, rev2))
report(self.eval_dir, outfile)
self.add_step(Step("make-comparison-tables", make_comparison_tables))
def add_scatter_plot_step(self, attributes=None):
"""Add a step that creates scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revision pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
scatter_dir = os.path.join(self.eval_dir, "scatter")
def is_portfolio(config_nick):
return "fdss" in config_nick
def make_scatter_plots():
for config_nick in self._config_nicks:
for rev1, rev2 in itertools.combinations(
self.revision_nicks, 2):
algo1 = "%s-%s" % (rev1, config_nick)
algo2 = "%s-%s" % (rev2, config_nick)
if is_portfolio(config_nick):
valid_attributes = [
attr for attr in attributes
if attr in self.PORTFOLIO_ATTRIBUTES]
else:
valid_attributes = attributes
for attribute in valid_attributes:
name = "-".join([rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
report = ScatterPlotReport(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(self.eval_dir, os.path.join(scatter_dir, name))
self.add_step(Step("make-scatter-plots", make_scatter_plots))
| 12,741 |
Python
| 35.614942 | 79 | 0.608743 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue425/opt.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites, configs
from downward.reports.compare import CompareConfigsReport
import common_setup
REVISIONS = ["issue425-base", "issue425-v1"]
CONFIGS = configs.default_configs_optimal()
# remove config that is disabled in this branch
del CONFIGS['astar_selmax_lmcut_lmcount']
exp = common_setup.IssueExperiment(
search_revisions=REVISIONS,
configs=CONFIGS,
suite=suites.suite_optimal_with_ipc11(),
limits={"search_time": 300}
)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
def grouped_configs_to_compare(config_nicks):
grouped_configs = []
for config_nick in config_nicks:
col_names = ['%s-%s' % (r, config_nick) for r in REVISIONS]
grouped_configs.append((col_names[0], col_names[1],
'Diff - %s' % config_nick))
return grouped_configs
exp.add_report(CompareConfigsReport(
compared_configs=grouped_configs_to_compare(configs.configs_optimal_core()),
attributes=common_setup.IssueExperiment.DEFAULT_TABLE_ATTRIBUTES,
),
outfile="issue425-opt-compare-core-configs.html"
)
def add_first_run_search_time(run):
if run.get("search_time_all", []):
run["first_run_search_time"] = run["search_time_all"][0]
return run
exp.add_report(CompareConfigsReport(
compared_configs=grouped_configs_to_compare(configs.configs_optimal_ipc()),
attributes=common_setup.IssueExperiment.DEFAULT_TABLE_ATTRIBUTES + ["first_run_search_time"],
filter=add_first_run_search_time,
),
outfile="issue425-opt-compare-portfolio-configs.html"
)
exp()
| 1,764 |
Python
| 32.301886 | 113 | 0.650794 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue425/sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from downward import suites, configs
from downward.reports.compare import CompareConfigsReport
import common_setup
REVISIONS = ["issue425-base", "issue425-v1"]
exp = common_setup.IssueExperiment(
search_revisions=REVISIONS,
configs=configs.default_configs_satisficing(),
suite=suites.suite_satisficing_with_ipc11(),
limits={"search_time": 300}
)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
def grouped_configs_to_compare(config_nicks):
grouped_configs = []
for config_nick in config_nicks:
col_names = ['%s-%s' % (r, config_nick) for r in REVISIONS]
grouped_configs.append((col_names[0], col_names[1],
'Diff - %s' % config_nick))
return grouped_configs
exp.add_report(CompareConfigsReport(
compared_configs=grouped_configs_to_compare(configs.configs_satisficing_core()),
attributes=common_setup.IssueExperiment.DEFAULT_TABLE_ATTRIBUTES,
),
outfile="issue425-sat-compare-core-configs.html"
)
def add_first_run_search_time(run):
if run.get("search_time_all", []):
run["first_run_search_time"] = run["search_time_all"][0]
return run
exp.add_report(CompareConfigsReport(
compared_configs=grouped_configs_to_compare(configs.configs_satisficing_ipc()),
attributes=common_setup.IssueExperiment.DEFAULT_TABLE_ATTRIBUTES + ["first_run_search_time"],
filter=add_first_run_search_time,
),
outfile="issue425-sat-compare-portfolio-configs.html"
)
exp()
| 1,671 |
Python
| 33.122448 | 113 | 0.645721 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue835/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'airport', 'barman-opt11-strips', 'barman-opt14-strips', 'blocks',
'childsnack-opt14-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'pipesworld-notankage',
'pipesworld-tankage', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'sokoban-opt08-strips', 'sokoban-opt11-strips', 'storage',
'tetris-opt14-strips', 'tidybot-opt11-strips',
'tidybot-opt14-strips', 'tpp', 'transport-opt08-strips',
'transport-opt11-strips', 'transport-opt14-strips',
'trucks-strips', 'visitall-opt11-strips', 'visitall-opt14-strips',
'woodworking-opt08-strips', 'woodworking-opt11-strips',
'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'airport', 'assembly', 'barman-sat11-strips',
'barman-sat14-strips', 'blocks', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl', 'depot',
'driverlog', 'elevators-sat08-strips', 'elevators-sat11-strips',
'floortile-sat11-strips', 'floortile-sat14-strips', 'freecell',
'ged-sat14-strips', 'grid', 'gripper', 'hiking-sat14-strips',
'logistics00', 'logistics98', 'maintenance-sat14-adl', 'miconic',
'miconic-fulladl', 'miconic-simpleadl', 'movie', 'mprime',
'mystery', 'nomystery-sat11-strips', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'sokoban-sat08-strips', 'sokoban-sat11-strips', 'storage',
'tetris-sat14-strips', 'thoughtful-sat14-strips',
'tidybot-sat11-strips', 'tpp', 'transport-sat08-strips',
'transport-sat11-strips', 'transport-sat14-strips', 'trucks',
'trucks-strips', 'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,153 |
Python
| 35.955613 | 82 | 0.615205 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue835/v1.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue835-base", "issue835-v1"]
CONFIGS = [
IssueConfig('lama-first', [], driver_options=['--alias', 'lama-first', '--overall-time-limit', '5m']),
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = BaselSlurmEnvironment(email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=4)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
exp.add_comparison_table_step()
exp.run_steps()
| 1,214 |
Python
| 26.613636 | 106 | 0.751236 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue835/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue650/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.environments import LocalEnvironment, MaiaEnvironment
from lab.experiment import ARGPARSER
from lab.steps import Step
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import CompareConfigsReport
from downward.reports.scatter import ScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return (
"cluster" in node or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = "gripper:prob01.pddl"
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, suite, revisions=[], configs={}, grid_priority=None,
path=None, test_suite=None, email=None, processes=None,
**kwargs):
"""
If *revisions* is specified, it should be a non-empty
list of revisions, which specify which planner versions to use
in the experiment. The same versions are used for translator,
preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
*configs* must be a non-empty list of IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
*suite* sets the benchmarks for the experiment. It must be a
single string or a list of strings specifying domains or
tasks. The downward.suites module has many predefined
suites. ::
IssueExperiment(..., suite=["grid", "gripper:prob01.pddl"])
from downward import suites
IssueExperiment(..., suite=suites.suite_all())
IssueExperiment(..., suite=suites.suite_satisficing_with_ipc11())
IssueExperiment(..., suite=suites.suite_optimal())
Use *grid_priority* to set the job priority for cluster
experiments. It must be in the range [-1023, 0] where 0 is the
highest priority. By default the priority is 0. ::
IssueExperiment(..., grid_priority=-500)
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
Specify *test_suite* to set the benchmarks for experiment test
runs. By default the first gripper task is used.
IssueExperiment(..., test_suite=["depot:pfile1", "tpp:p01.pddl"])
If *email* is specified, it should be an email address. This
email address will be notified upon completion of the experiments
if it is run on the cluster.
"""
if is_test_run():
kwargs["environment"] = LocalEnvironment(processes=processes)
suite = test_suite or self.DEFAULT_TEST_SUITE
elif "environment" not in kwargs:
kwargs["environment"] = MaiaEnvironment(
priority=grid_priority, email=email)
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
repo = get_repo_base()
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
repo,
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self.add_suite(os.path.join(repo, "benchmarks"), suite)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't
compare revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If
the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(self.eval_dir,
get_experiment_name() + "." +
report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(Step('publish-absolute-report',
subprocess.call,
['publish', outfile]))
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = CompareConfigsReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare" % (self.name, rev1, rev2)
+ "." + report.output_format)
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare" % (self.name, rev1, rev2)
+ ".html")
subprocess.call(['publish', outfile])
self.add_step(Step("make-comparison-tables", make_comparison_tables))
self.add_step(Step("publish-comparison-tables", publish_comparison_tables))
def add_scatter_plot_step(self, attributes=None):
"""Add a step that creates scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
scatter_dir = os.path.join(self.eval_dir, "scatter")
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "%s-%s" % (rev1, config_nick)
algo2 = "%s-%s" % (rev2, config_nick)
report = ScatterPlotReport(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(Step("make-scatter-plots", make_scatter_plots))
| 12,481 |
Python
| 33.963585 | 83 | 0.594904 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue650/suites.py
|
# Benchmark suites from the Fast Downward benchmark collection.
def suite_alternative_formulations():
return ['airport-adl', 'no-mprime', 'no-mystery']
def suite_ipc98_to_ipc04_adl():
return [
'assembly', 'miconic-fulladl', 'miconic-simpleadl',
'optical-telegraphs', 'philosophers', 'psr-large',
'psr-middle', 'schedule',
]
def suite_ipc98_to_ipc04_strips():
return [
'airport', 'blocks', 'depot', 'driverlog', 'freecell', 'grid',
'gripper', 'logistics00', 'logistics98', 'miconic', 'movie',
'mprime', 'mystery', 'pipesworld-notankage', 'psr-small',
'satellite', 'zenotravel',
]
def suite_ipc98_to_ipc04():
# All IPC1-4 domains, including the trivial Movie.
return sorted(suite_ipc98_to_ipc04_adl() + suite_ipc98_to_ipc04_strips())
def suite_ipc06_adl():
return [
'openstacks',
'pathways',
'trucks',
]
def suite_ipc06_strips_compilations():
return [
'openstacks-strips',
'pathways-noneg',
'trucks-strips',
]
def suite_ipc06_strips():
return [
'pipesworld-tankage',
'rovers',
'storage',
'tpp',
]
def suite_ipc06():
return sorted(suite_ipc06_adl() + suite_ipc06_strips())
def suite_ipc08_common_strips():
return [
'parcprinter-08-strips',
'pegsol-08-strips',
'scanalyzer-08-strips',
]
def suite_ipc08_opt_adl():
return ['openstacks-opt08-adl']
def suite_ipc08_opt_strips():
return sorted(suite_ipc08_common_strips() + [
'elevators-opt08-strips',
'openstacks-opt08-strips',
'sokoban-opt08-strips',
'transport-opt08-strips',
'woodworking-opt08-strips',
])
def suite_ipc08_opt():
return sorted(suite_ipc08_opt_strips() + suite_ipc08_opt_adl())
def suite_ipc08_sat_adl():
return ['openstacks-sat08-adl']
def suite_ipc08_sat_strips():
return sorted(suite_ipc08_common_strips() + [
# Note: cyber-security is missing.
'elevators-sat08-strips',
'openstacks-sat08-strips',
'sokoban-sat08-strips',
'transport-sat08-strips',
'woodworking-sat08-strips',
])
def suite_ipc08_sat():
return sorted(suite_ipc08_sat_strips() + suite_ipc08_sat_adl())
def suite_ipc08():
return sorted(set(suite_ipc08_opt() + suite_ipc08_sat()))
def suite_ipc11_opt():
return [
'barman-opt11-strips',
'elevators-opt11-strips',
'floortile-opt11-strips',
'nomystery-opt11-strips',
'openstacks-opt11-strips',
'parcprinter-opt11-strips',
'parking-opt11-strips',
'pegsol-opt11-strips',
'scanalyzer-opt11-strips',
'sokoban-opt11-strips',
'tidybot-opt11-strips',
'transport-opt11-strips',
'visitall-opt11-strips',
'woodworking-opt11-strips',
]
def suite_ipc11_sat():
return [
'barman-sat11-strips',
'elevators-sat11-strips',
'floortile-sat11-strips',
'nomystery-sat11-strips',
'openstacks-sat11-strips',
'parcprinter-sat11-strips',
'parking-sat11-strips',
'pegsol-sat11-strips',
'scanalyzer-sat11-strips',
'sokoban-sat11-strips',
'tidybot-sat11-strips',
'transport-sat11-strips',
'visitall-sat11-strips',
'woodworking-sat11-strips',
]
def suite_ipc11():
return sorted(suite_ipc11_opt() + suite_ipc11_sat())
def suite_ipc14_agl_adl():
return [
'cavediving-agl14-adl',
'citycar-agl14-adl',
'maintenance-agl14-adl',
]
def suite_ipc14_agl_strips():
return [
'barman-agl14-strips',
'childsnack-agl14-strips',
'floortile-agl14-strips',
'ged-agl14-strips',
'hiking-agl14-strips',
'openstacks-agl14-strips',
'parking-agl14-strips',
'tetris-agl14-strips',
'thoughtful-agl14-strips',
'transport-agl14-strips',
'visitall-agl14-strips',
]
def suite_ipc14_agl():
return sorted(suite_ipc14_agl_adl() + suite_ipc14_agl_strips())
def suite_ipc14_mco_adl():
return [
'cavediving-mco14-adl',
'citycar-mco14-adl',
'maintenance-mco14-adl',
]
def suite_ipc14_mco_strips():
return [
'barman-mco14-strips',
'childsnack-mco14-strips',
'floortile-mco14-strips',
'ged-mco14-strips',
'hiking-mco14-strips',
'openstacks-mco14-strips',
'parking-mco14-strips',
'tetris-mco14-strips',
'thoughtful-mco14-strips',
'transport-mco14-strips',
'visitall-mco14-strips',
]
def suite_ipc14_mco():
return sorted(suite_ipc14_mco_adl() + suite_ipc14_mco_strips())
def suite_ipc14_opt_adl():
return [
'cavediving-opt14-adl',
'citycar-opt14-adl',
'maintenance-opt14-adl',
]
def suite_ipc14_opt_strips():
return [
'barman-opt14-strips',
'childsnack-opt14-strips',
'floortile-opt14-strips',
'ged-opt14-strips',
'hiking-opt14-strips',
'openstacks-opt14-strips',
'parking-opt14-strips',
'tetris-opt14-strips',
'tidybot-opt14-strips',
'transport-opt14-strips',
'visitall-opt14-strips',
]
def suite_ipc14_opt():
return sorted(suite_ipc14_opt_adl() + suite_ipc14_opt_strips())
def suite_ipc14_sat_adl():
return [
'cavediving-sat14-adl',
'citycar-sat14-adl',
'maintenance-sat14-adl',
]
def suite_ipc14_sat_strips():
return [
'barman-sat14-strips',
'childsnack-sat14-strips',
'floortile-sat14-strips',
'ged-sat14-strips',
'hiking-sat14-strips',
'openstacks-sat14-strips',
'parking-sat14-strips',
'tetris-sat14-strips',
'thoughtful-sat14-strips',
'transport-sat14-strips',
'visitall-sat14-strips',
]
def suite_ipc14_sat():
return sorted(suite_ipc14_sat_adl() + suite_ipc14_sat_strips())
def suite_ipc14():
return sorted(
suite_ipc14_agl() + suite_ipc14_mco() +
suite_ipc14_opt() + suite_ipc14_sat())
def suite_unsolvable():
# TODO: Add other unsolvable problems (Miconic-FullADL).
# TODO: Add 'fsc-grid-r:prize5x5_R.pddl' and 't0-uts:uts_r-02.pddl'
# if the extra-domains branch is merged.
return sorted(
['mystery:prob%02d.pddl' % index
for index in [4, 5, 7, 8, 12, 16, 18, 21, 22, 23, 24]] +
['miconic-fulladl:f21-3.pddl', 'miconic-fulladl:f30-2.pddl'])
def suite_optimal_adl():
return sorted(
suite_ipc98_to_ipc04_adl() + suite_ipc06_adl() +
suite_ipc08_opt_adl())
def suite_optimal_strips():
return sorted(
suite_ipc98_to_ipc04_strips() + suite_ipc06_strips() +
suite_ipc06_strips_compilations() + suite_ipc08_opt_strips() +
suite_ipc11_opt())
def suite_optimal():
return sorted(suite_optimal_adl() + suite_optimal_strips())
def suite_satisficing_adl():
return sorted(
suite_ipc98_to_ipc04_adl() + suite_ipc06_adl() +
suite_ipc08_sat_adl())
def suite_satisficing_strips():
return sorted(
suite_ipc98_to_ipc04_strips() + suite_ipc06_strips() +
suite_ipc06_strips_compilations() + suite_ipc08_sat_strips() +
suite_ipc11_sat())
def suite_satisficing():
return sorted(suite_satisficing_adl() + suite_satisficing_strips())
def suite_all():
return sorted(
suite_ipc98_to_ipc04() + suite_ipc06() +
suite_ipc06_strips_compilations() + suite_ipc08() +
suite_ipc11() + suite_alternative_formulations())
| 7,695 |
Python
| 23.35443 | 77 | 0.596231 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue650/v1.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
import suites
configs = [
IssueConfig(
"cegar-landmarks-10k",
["--search", "astar(cegar(subtasks=[landmarks()],max_states=10000))"]),
IssueConfig(
"cegar-landmarks-goals-900s",
["--search", "astar(cegar(subtasks=[landmarks(),goals()],max_time=900))"]),
]
revisions = ["issue650-base", "issue650-v1"]
exp = IssueExperiment(
revisions=revisions,
configs=configs,
suite=suites.suite_optimal_strips(),
test_suite=["depot:pfile1"],
email="[email protected]",
)
exp.add_comparison_table_step()
for attribute in ["memory", "total_time"]:
for config in configs:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_config=["{}-{}".format(rev, config.nick) for rev in revisions],
get_category=lambda run1, run2: run1.get("domain"),
),
outfile="{}-{}-{}.png".format(exp.name, attribute, config.nick)
)
exp()
| 1,151 |
Python
| 27.09756 | 86 | 0.618593 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue650/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows how a specific attribute in two
configurations. The attribute value in config 1 is shown on the
x-axis and the relation to the value in config 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['config'] == self.configs[0] and
run2['config'] == self.configs[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.configs[0], val1)
assert val2 > 0, (domain, problem, self.configs[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlots use log-scaling on the x-axis by default.
default_xscale = 'log'
if self.attribute and self.attribute in self.LINEAR:
default_xscale = 'linear'
PlotReport._set_scales(self, xscale or default_xscale, 'log')
| 3,921 |
Python
| 35.654205 | 84 | 0.597042 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue650/v2.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
import suites
configs = [
IssueConfig(
"cegar-landmarks-10k",
["--search", "astar(cegar(subtasks=[landmarks()],max_states=10000))"]),
IssueConfig(
"cegar-landmarks-goals-900s-debug",
["--search", "astar(cegar(subtasks=[landmarks(),goals()],max_time=900))"],
build_options=["--debug"],
driver_options=["--debug"],
),
]
revisions = ["issue650-base", "issue650-v2"]
exp = IssueExperiment(
revisions=revisions,
configs=configs,
suite=suites.suite_optimal_strips(),
test_suite=["depot:pfile1"],
email="[email protected]",
)
exp.add_comparison_table_step()
for attribute in ["memory", "total_time"]:
for config in configs:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_config=["{}-{}".format(rev, config.nick) for rev in revisions],
get_category=lambda run1, run2: run1.get("domain"),
),
outfile="{}-{}-{}.png".format(exp.name, attribute, config.nick)
)
exp()
| 1,238 |
Python
| 27.15909 | 86 | 0.607431 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue862/v5.py
|
#! /usr/bin/env python2
# -*- coding: utf-8 -*-
from collections import defaultdict
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
from lab import tools
from downward.reports.compare import ComparativeReport
from downward.reports import PlanningReport
import common_setup
from common_setup import IssueConfig, IssueExperiment
EXPNAME = common_setup.get_experiment_name()
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue862-base", "issue862-v1", "issue862-v4", "issue862-v5"]
CONFIGS = [
IssueConfig(
"translate-only",
[],
driver_options=["--translate"])
]
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
# This was generated by running "./suites.py all" in the benchmarks
# repository.
SUITE = [
'agricola-opt18-strips',
'agricola-sat18-strips',
'airport',
'airport-adl',
'assembly',
'barman-mco14-strips',
'barman-opt11-strips',
'barman-opt14-strips',
'barman-sat11-strips',
'barman-sat14-strips',
'blocks',
'caldera-opt18-adl',
'caldera-sat18-adl',
'caldera-split-opt18-adl',
'caldera-split-sat18-adl',
'cavediving-14-adl',
'childsnack-opt14-strips',
'childsnack-sat14-strips',
'citycar-opt14-adl',
'citycar-sat14-adl',
'data-network-opt18-strips',
'data-network-sat18-strips',
'depot',
'driverlog',
'elevators-opt08-strips',
'elevators-opt11-strips',
'elevators-sat08-strips',
'elevators-sat11-strips',
'flashfill-sat18-adl',
'floortile-opt11-strips',
'floortile-opt14-strips',
'floortile-sat11-strips',
'floortile-sat14-strips',
'freecell',
'ged-opt14-strips',
'ged-sat14-strips',
'grid',
'gripper',
'hiking-agl14-strips',
'hiking-opt14-strips',
'hiking-sat14-strips',
'logistics00',
'logistics98',
'maintenance-opt14-adl',
'maintenance-sat14-adl',
'miconic',
'miconic-fulladl',
'miconic-simpleadl',
'movie',
'mprime',
'mystery',
'no-mprime',
'no-mystery',
'nomystery-opt11-strips',
'nomystery-sat11-strips',
'nurikabe-opt18-adl',
'nurikabe-sat18-adl',
'openstacks',
'openstacks-agl14-strips',
'openstacks-opt08-adl',
'openstacks-opt08-strips',
'openstacks-opt11-strips',
'openstacks-opt14-strips',
'openstacks-sat08-adl',
'openstacks-sat08-strips',
'openstacks-sat11-strips',
'openstacks-sat14-strips',
'openstacks-strips',
'optical-telegraphs',
'organic-synthesis-opt18-strips',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-opt18-strips',
'organic-synthesis-split-sat18-strips',
'parcprinter-08-strips',
'parcprinter-opt11-strips',
'parcprinter-sat11-strips',
'parking-opt11-strips',
'parking-opt14-strips',
'parking-sat11-strips',
'parking-sat14-strips',
'pathways',
'pathways-noneg',
'pegsol-08-strips',
'pegsol-opt11-strips',
'pegsol-sat11-strips',
'petri-net-alignment-opt18-strips',
'philosophers',
'pipesworld-notankage',
'pipesworld-tankage',
'psr-large',
'psr-middle',
'psr-small',
'rovers',
'satellite',
'scanalyzer-08-strips',
'scanalyzer-opt11-strips',
'scanalyzer-sat11-strips',
'schedule',
'settlers-opt18-adl',
'settlers-sat18-adl',
'snake-opt18-strips',
'snake-sat18-strips',
'sokoban-opt08-strips',
'sokoban-opt11-strips',
'sokoban-sat08-strips',
'sokoban-sat11-strips',
'spider-opt18-strips',
'spider-sat18-strips',
'storage',
'termes-opt18-strips',
'termes-sat18-strips',
'tetris-opt14-strips',
'tetris-sat14-strips',
'thoughtful-mco14-strips',
'thoughtful-sat14-strips',
'tidybot-opt11-strips',
'tidybot-opt14-strips',
'tidybot-sat11-strips',
'tpp',
'transport-opt08-strips',
'transport-opt11-strips',
'transport-opt14-strips',
'transport-sat08-strips',
'transport-sat11-strips',
'transport-sat14-strips',
'trucks',
'trucks-strips',
'visitall-opt11-strips',
'visitall-opt14-strips',
'visitall-sat11-strips',
'visitall-sat14-strips',
'woodworking-opt08-strips',
'woodworking-opt11-strips',
'woodworking-sat08-strips',
'woodworking-sat11-strips',
'zenotravel',
]
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_parser("translator_additional_parser.py")
del exp.commands['remove-output-sas']
class TranslatorDiffReport(PlanningReport):
def get_cell(self, run):
return ";".join(run.get(attr) for attr in self.attributes)
def get_text(self):
lines = []
for runs in self.problem_runs.values():
hashes = set([r.get("translator_output_sas_hash") for r in runs])
if len(hashes) > 1 or None in hashes:
lines.append(";".join([self.get_cell(r) for r in runs]))
return "\n".join(lines)
class SameValueFilters(object):
"""Ignore runs for a task where all algorithms have the same value."""
def __init__(self, attribute):
self._attribute = attribute
self._tasks_to_values = defaultdict(list)
def _get_task(self, run):
return (run['domain'], run['problem'])
def store_values(self, run):
value = run.get(self._attribute)
self._tasks_to_values[self._get_task(run)].append(value)
# Don't filter this run, yet.
return True
def filter_tasks_with_equal_values(self, run):
values = self._tasks_to_values[self._get_task(run)]
return len(set(values)) != 1
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_parse_again_step()
exp.add_fetcher(name='fetch')
ATTRIBUTES = ["error", "run_dir", "translator_*", "translator_output_sas_hash"]
exp.add_absolute_report_step(
outfile=os.path.join(exp.eval_dir, "{EXPNAME}.html".format(**locals())),
attributes=ATTRIBUTES)
same_value_flters = SameValueFilters("translator_output_sas_hash")
exp.add_absolute_report_step(
outfile=os.path.join(exp.eval_dir, "{EXPNAME}-filtered.html".format(**locals())),
attributes=ATTRIBUTES,
filter=[same_value_flters.store_values, same_value_flters.filter_tasks_with_equal_values])
exp.add_report(TranslatorDiffReport(
attributes=["domain", "problem", "algorithm", "run_dir"]
), outfile="different_output_sas.csv"
)
exp.run_steps()
| 6,873 |
Python
| 27.404959 | 94 | 0.657646 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue862/v5-planner.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment
from relativescatter import RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue862-base", "issue862-v5"]
BUILDS = ["release32"]
CONFIG_DICT = {
"lazy-greedy-{h}".format(**locals()): [
"--evaluator",
"h={h}()".format(**locals()),
"--search",
"lazy_greedy([h], preferred=[h])"]
for h in ["hmax", "add", "ff", "cg", "cea"]
}
CONFIG_DICT["lama-first"] = [
"--evaluator",
"hlm=lmcount(lm_factory=lm_rhw(reasonable_orders=true),transform=adapt_costs(one),pref=false)",
"--evaluator", "hff=ff(transform=adapt_costs(one))",
"--search", """lazy_greedy([hff,hlm],preferred=[hff,hlm],
cost_type=one,reopen_closed=false)"""]
CONFIG_DICT["blind"] = ["--search", "astar(blind())"]
CONFIGS = [
IssueConfig(
"-".join([config_nick, build]),
config,
build_options=[build],
driver_options=["--build", build, "--overall-time-limit", "30m"])
for build in BUILDS
for config_nick, config in CONFIG_DICT.items()
]
SUITE = [
"airport-adl",
"assembly",
"miconic-fulladl",
"psr-large",
"psr-middle",
]
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_parser(exp.EXITCODE_PARSER)
exp.add_parser(exp.TRANSLATOR_PARSER)
exp.add_parser(exp.SINGLE_SEARCH_PARSER)
exp.add_parser(exp.PLANNER_PARSER)
exp.add_step("build", exp.build)
exp.add_step("start", exp.start_runs)
exp.add_fetcher(name="fetch")
#exp.add_absolute_report_step()
exp.add_comparison_table_step()
exp.run_steps()
| 2,260 |
Python
| 27.620253 | 103 | 0.657965 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue862/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'agricola-opt18-strips', 'airport', 'barman-opt11-strips',
'barman-opt14-strips', 'blocks', 'childsnack-opt14-strips',
'data-network-opt18-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'organic-synthesis-opt18-strips',
'organic-synthesis-split-opt18-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'petri-net-alignment-opt18-strips',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-small', 'rovers',
'satellite', 'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'snake-opt18-strips', 'sokoban-opt08-strips',
'sokoban-opt11-strips', 'spider-opt18-strips', 'storage',
'termes-opt18-strips', 'tetris-opt14-strips',
'tidybot-opt11-strips', 'tidybot-opt14-strips', 'tpp',
'transport-opt08-strips', 'transport-opt11-strips',
'transport-opt14-strips', 'trucks-strips', 'visitall-opt11-strips',
'visitall-opt14-strips', 'woodworking-opt08-strips',
'woodworking-opt11-strips', 'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'agricola-sat18-strips', 'airport', 'assembly',
'barman-sat11-strips', 'barman-sat14-strips', 'blocks',
'caldera-sat18-adl', 'caldera-split-sat18-adl', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl',
'data-network-sat18-strips', 'depot', 'driverlog',
'elevators-sat08-strips', 'elevators-sat11-strips',
'flashfill-sat18-adl', 'floortile-sat11-strips',
'floortile-sat14-strips', 'freecell', 'ged-sat14-strips', 'grid',
'gripper', 'hiking-sat14-strips', 'logistics00', 'logistics98',
'maintenance-sat14-adl', 'miconic', 'miconic-fulladl',
'miconic-simpleadl', 'movie', 'mprime', 'mystery',
'nomystery-sat11-strips', 'nurikabe-sat18-adl', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-sat18-strips', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'settlers-sat18-adl', 'snake-sat18-strips', 'sokoban-sat08-strips',
'sokoban-sat11-strips', 'spider-sat18-strips', 'storage',
'termes-sat18-strips', 'tetris-sat14-strips',
'thoughtful-sat14-strips', 'tidybot-sat11-strips', 'tpp',
'transport-sat08-strips', 'transport-sat11-strips',
'transport-sat14-strips', 'trucks', 'trucks-strips',
'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return node.endswith(".scicore.unibas.ch") or node.endswith(".cluster.bc2.ch")
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["depot:p01.pddl", "gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"planner_memory",
"planner_time",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, outfile=None, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = outfile or os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-' + os.path.basename(outfile), subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,824 |
Python
| 36.531645 | 90 | 0.618591 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue862/translator_additional_parser.py
|
#!/usr/bin/env python
import hashlib
from lab.parser import Parser
def add_hash_value(content, props):
props['translator_output_sas_hash'] = hashlib.sha512(content).hexdigest()
parser = Parser()
parser.add_function(add_hash_value, file="output.sas")
parser.parse()
| 273 |
Python
| 20.076922 | 77 | 0.739927 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue862/v1.py
|
#! /usr/bin/env python2
# -*- coding: utf-8 -*-
import os
from lab.environments import LocalEnvironment, BaselSlurmEnvironment
from lab import tools
from downward.reports.compare import ComparativeReport
from downward.reports import PlanningReport
import common_setup
from common_setup import IssueConfig, IssueExperiment
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue862-base", "issue862-v1", "issue862-v2", "issue862-v3"]
CONFIGS = [
IssueConfig(
"translate-only",
[],
driver_options=["--translate"])
]
ENVIRONMENT = BaselSlurmEnvironment(
partition="infai_2",
email="[email protected]",
export=["PATH", "DOWNWARD_BENCHMARKS"])
# This was generated by running "./suites.py all" in the benchmarks
# repository. I don't know if this is there is a better way of doing
# this.
SUITE = [
'agricola-opt18-strips',
'agricola-sat18-strips',
'airport',
'airport-adl',
'assembly',
'barman-mco14-strips',
'barman-opt11-strips',
'barman-opt14-strips',
'barman-sat11-strips',
'barman-sat14-strips',
'blocks',
'caldera-opt18-adl',
'caldera-sat18-adl',
'caldera-split-opt18-adl',
'caldera-split-sat18-adl',
'cavediving-14-adl',
'childsnack-opt14-strips',
'childsnack-sat14-strips',
'citycar-opt14-adl',
'citycar-sat14-adl',
'data-network-opt18-strips',
'data-network-sat18-strips',
'depot',
'driverlog',
'elevators-opt08-strips',
'elevators-opt11-strips',
'elevators-sat08-strips',
'elevators-sat11-strips',
'flashfill-sat18-adl',
'floortile-opt11-strips',
'floortile-opt14-strips',
'floortile-sat11-strips',
'floortile-sat14-strips',
'freecell',
'ged-opt14-strips',
'ged-sat14-strips',
'grid',
'gripper',
'hiking-agl14-strips',
'hiking-opt14-strips',
'hiking-sat14-strips',
'logistics00',
'logistics98',
'maintenance-opt14-adl',
'maintenance-sat14-adl',
'miconic',
'miconic-fulladl',
'miconic-simpleadl',
'movie',
'mprime',
'mystery',
'no-mprime',
'no-mystery',
'nomystery-opt11-strips',
'nomystery-sat11-strips',
'nurikabe-opt18-adl',
'nurikabe-sat18-adl',
'openstacks',
'openstacks-agl14-strips',
'openstacks-opt08-adl',
'openstacks-opt08-strips',
'openstacks-opt11-strips',
'openstacks-opt14-strips',
'openstacks-sat08-adl',
'openstacks-sat08-strips',
'openstacks-sat11-strips',
'openstacks-sat14-strips',
'openstacks-strips',
'optical-telegraphs',
'organic-synthesis-opt18-strips',
'organic-synthesis-sat18-strips',
'organic-synthesis-split-opt18-strips',
'organic-synthesis-split-sat18-strips',
'parcprinter-08-strips',
'parcprinter-opt11-strips',
'parcprinter-sat11-strips',
'parking-opt11-strips',
'parking-opt14-strips',
'parking-sat11-strips',
'parking-sat14-strips',
'pathways',
'pathways-noneg',
'pegsol-08-strips',
'pegsol-opt11-strips',
'pegsol-sat11-strips',
'petri-net-alignment-opt18-strips',
'philosophers',
'pipesworld-notankage',
'pipesworld-tankage',
'psr-large',
'psr-middle',
'psr-small',
'rovers',
'satellite',
'scanalyzer-08-strips',
'scanalyzer-opt11-strips',
'scanalyzer-sat11-strips',
'schedule',
'settlers-opt18-adl',
'settlers-sat18-adl',
'snake-opt18-strips',
'snake-sat18-strips',
'sokoban-opt08-strips',
'sokoban-opt11-strips',
'sokoban-sat08-strips',
'sokoban-sat11-strips',
'spider-opt18-strips',
'spider-sat18-strips',
'storage',
'termes-opt18-strips',
'termes-sat18-strips',
'tetris-opt14-strips',
'tetris-sat14-strips',
'thoughtful-mco14-strips',
'thoughtful-sat14-strips',
'tidybot-opt11-strips',
'tidybot-opt14-strips',
'tidybot-sat11-strips',
'tpp',
'transport-opt08-strips',
'transport-opt11-strips',
'transport-opt14-strips',
'transport-sat08-strips',
'transport-sat11-strips',
'transport-sat14-strips',
'trucks',
'trucks-strips',
'visitall-opt11-strips',
'visitall-opt14-strips',
'visitall-sat11-strips',
'visitall-sat14-strips',
'woodworking-opt08-strips',
'woodworking-opt11-strips',
'woodworking-sat08-strips',
'woodworking-sat11-strips',
'zenotravel',
]
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_resource("translator_additional_parser",
"translator_additional_parser.py",
dest="translator_additional_parser.py")
del exp.commands['remove-output-sas']
exp.add_command("translator_additional_parser",
["{translator_additional_parser}"])
class TranslatorDiffReport(PlanningReport):
def get_cell(self, run):
return ";".join(run.get(attr) for attr in self.attributes)
def get_text(self):
lines = []
for runs in self.problem_runs.values():
hashes = set([r.get("translator_output_sas_hash") for r in runs])
if len(hashes) > 1 or None in hashes:
lines.append(";".join([self.get_cell(r) for r in runs]))
return "\n".join(lines)
exp.add_step('build', exp.build)
exp.add_step('start', exp.start_runs)
exp.add_fetcher(name='fetch')
exp.add_report(TranslatorDiffReport(
attributes=["domain", "problem", "algorithm", "run_dir"]
), outfile="different_output_sas.csv"
)
exp.run_steps()
| 5,753 |
Python
| 26.141509 | 77 | 0.649053 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue862/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v8-blind.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v7-base", "issue693-v7", "issue693-v8"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("blind", "astar(blind())"),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_comparison_table_step()
exp.run_steps()
| 1,219 |
Python
| 24.957446 | 80 | 0.707137 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/common_setup.py
|
# -*- coding: utf-8 -*-
import itertools
import os
import platform
import subprocess
import sys
from lab.experiment import ARGPARSER
from lab.steps import Step
from lab import tools
from downward.experiment import FastDownwardExperiment
from downward.reports.absolute import AbsoluteReport
from downward.reports.compare import ComparativeReport
from downward.reports.scatter import ScatterPlotReport
from relativescatter import RelativeScatterPlotReport
def parse_args():
ARGPARSER.add_argument(
"--test",
choices=["yes", "no", "auto"],
default="auto",
dest="test_run",
help="test experiment locally on a small suite if --test=yes or "
"--test=auto and we are not on a cluster")
return ARGPARSER.parse_args()
ARGS = parse_args()
DEFAULT_OPTIMAL_SUITE = [
'airport', 'barman-opt11-strips', 'barman-opt14-strips', 'blocks',
'childsnack-opt14-strips', 'depot', 'driverlog',
'elevators-opt08-strips', 'elevators-opt11-strips',
'floortile-opt11-strips', 'floortile-opt14-strips', 'freecell',
'ged-opt14-strips', 'grid', 'gripper', 'hiking-opt14-strips',
'logistics00', 'logistics98', 'miconic', 'movie', 'mprime',
'mystery', 'nomystery-opt11-strips', 'openstacks-opt08-strips',
'openstacks-opt11-strips', 'openstacks-opt14-strips',
'openstacks-strips', 'parcprinter-08-strips',
'parcprinter-opt11-strips', 'parking-opt11-strips',
'parking-opt14-strips', 'pathways-noneg', 'pegsol-08-strips',
'pegsol-opt11-strips', 'pipesworld-notankage',
'pipesworld-tankage', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-opt11-strips',
'sokoban-opt08-strips', 'sokoban-opt11-strips', 'storage',
'tetris-opt14-strips', 'tidybot-opt11-strips',
'tidybot-opt14-strips', 'tpp', 'transport-opt08-strips',
'transport-opt11-strips', 'transport-opt14-strips',
'trucks-strips', 'visitall-opt11-strips', 'visitall-opt14-strips',
'woodworking-opt08-strips', 'woodworking-opt11-strips',
'zenotravel']
DEFAULT_SATISFICING_SUITE = [
'airport', 'assembly', 'barman-sat11-strips',
'barman-sat14-strips', 'blocks', 'cavediving-14-adl',
'childsnack-sat14-strips', 'citycar-sat14-adl', 'depot',
'driverlog', 'elevators-sat08-strips', 'elevators-sat11-strips',
'floortile-sat11-strips', 'floortile-sat14-strips', 'freecell',
'ged-sat14-strips', 'grid', 'gripper', 'hiking-sat14-strips',
'logistics00', 'logistics98', 'maintenance-sat14-adl', 'miconic',
'miconic-fulladl', 'miconic-simpleadl', 'movie', 'mprime',
'mystery', 'nomystery-sat11-strips', 'openstacks',
'openstacks-sat08-adl', 'openstacks-sat08-strips',
'openstacks-sat11-strips', 'openstacks-sat14-strips',
'openstacks-strips', 'optical-telegraphs', 'parcprinter-08-strips',
'parcprinter-sat11-strips', 'parking-sat11-strips',
'parking-sat14-strips', 'pathways', 'pathways-noneg',
'pegsol-08-strips', 'pegsol-sat11-strips', 'philosophers',
'pipesworld-notankage', 'pipesworld-tankage', 'psr-large',
'psr-middle', 'psr-small', 'rovers', 'satellite',
'scanalyzer-08-strips', 'scanalyzer-sat11-strips', 'schedule',
'sokoban-sat08-strips', 'sokoban-sat11-strips', 'storage',
'tetris-sat14-strips', 'thoughtful-sat14-strips',
'tidybot-sat11-strips', 'tpp', 'transport-sat08-strips',
'transport-sat11-strips', 'transport-sat14-strips', 'trucks',
'trucks-strips', 'visitall-sat11-strips', 'visitall-sat14-strips',
'woodworking-sat08-strips', 'woodworking-sat11-strips',
'zenotravel']
def get_script():
"""Get file name of main script."""
return tools.get_script_path()
def get_script_dir():
"""Get directory of main script.
Usually a relative directory (depends on how it was called by the user.)"""
return os.path.dirname(get_script())
def get_experiment_name():
"""Get name for experiment.
Derived from the absolute filename of the main script, e.g.
"/ham/spam/eggs.py" => "spam-eggs"."""
script = os.path.abspath(get_script())
script_dir = os.path.basename(os.path.dirname(script))
script_base = os.path.splitext(os.path.basename(script))[0]
return "%s-%s" % (script_dir, script_base)
def get_data_dir():
"""Get data dir for the experiment.
This is the subdirectory "data" of the directory containing
the main script."""
return os.path.join(get_script_dir(), "data", get_experiment_name())
def get_repo_base():
"""Get base directory of the repository, as an absolute path.
Search upwards in the directory tree from the main script until a
directory with a subdirectory named ".hg" is found.
Abort if the repo base cannot be found."""
path = os.path.abspath(get_script_dir())
while os.path.dirname(path) != path:
if os.path.exists(os.path.join(path, ".hg")):
return path
path = os.path.dirname(path)
sys.exit("repo base could not be found")
def is_running_on_cluster():
node = platform.node()
return (
"cluster" in node or
node.startswith("gkigrid") or
node in ["habakuk", "turtur"])
def is_test_run():
return ARGS.test_run == "yes" or (
ARGS.test_run == "auto" and not is_running_on_cluster())
def get_algo_nick(revision, config_nick):
return "{revision}-{config_nick}".format(**locals())
class IssueConfig(object):
"""Hold information about a planner configuration.
See FastDownwardExperiment.add_algorithm() for documentation of the
constructor's options.
"""
def __init__(self, nick, component_options,
build_options=None, driver_options=None):
self.nick = nick
self.component_options = component_options
self.build_options = build_options
self.driver_options = driver_options
class IssueExperiment(FastDownwardExperiment):
"""Subclass of FastDownwardExperiment with some convenience features."""
DEFAULT_TEST_SUITE = ["gripper:prob01.pddl"]
DEFAULT_TABLE_ATTRIBUTES = [
"cost",
"coverage",
"error",
"evaluations",
"expansions",
"expansions_until_last_jump",
"generated",
"memory",
"quality",
"run_dir",
"score_evaluations",
"score_expansions",
"score_generated",
"score_memory",
"score_search_time",
"score_total_time",
"search_time",
"total_time",
]
DEFAULT_SCATTER_PLOT_ATTRIBUTES = [
"evaluations",
"expansions",
"expansions_until_last_jump",
"initial_h_value",
"memory",
"search_time",
"total_time",
]
PORTFOLIO_ATTRIBUTES = [
"cost",
"coverage",
"error",
"plan_length",
"run_dir",
]
def __init__(self, revisions=None, configs=None, path=None, **kwargs):
"""
You can either specify both *revisions* and *configs* or none
of them. If they are omitted, you will need to call
exp.add_algorithm() manually.
If *revisions* is given, it must be a non-empty list of
revision identifiers, which specify which planner versions to
use in the experiment. The same versions are used for
translator, preprocessor and search. ::
IssueExperiment(revisions=["issue123", "4b3d581643"], ...)
If *configs* is given, it must be a non-empty list of
IssueConfig objects. ::
IssueExperiment(..., configs=[
IssueConfig("ff", ["--search", "eager_greedy(ff())"]),
IssueConfig(
"lama", [],
driver_options=["--alias", "seq-sat-lama-2011"]),
])
If *path* is specified, it must be the path to where the
experiment should be built (e.g.
/home/john/experiments/issue123/exp01/). If omitted, the
experiment path is derived automatically from the main
script's filename. Example::
script = experiments/issue123/exp01.py -->
path = experiments/issue123/data/issue123-exp01/
"""
path = path or get_data_dir()
FastDownwardExperiment.__init__(self, path=path, **kwargs)
if (revisions and not configs) or (not revisions and configs):
raise ValueError(
"please provide either both or none of revisions and configs")
for rev in revisions:
for config in configs:
self.add_algorithm(
get_algo_nick(rev, config.nick),
get_repo_base(),
rev,
config.component_options,
build_options=config.build_options,
driver_options=config.driver_options)
self._revisions = revisions
self._configs = configs
@classmethod
def _is_portfolio(cls, config_nick):
return "fdss" in config_nick
@classmethod
def get_supported_attributes(cls, config_nick, attributes):
if cls._is_portfolio(config_nick):
return [attr for attr in attributes
if attr in cls.PORTFOLIO_ATTRIBUTES]
return attributes
def add_absolute_report_step(self, **kwargs):
"""Add step that makes an absolute report.
Absolute reports are useful for experiments that don't compare
revisions.
The report is written to the experiment evaluation directory.
All *kwargs* will be passed to the AbsoluteReport class. If the
keyword argument *attributes* is not specified, a default list
of attributes is used. ::
exp.add_absolute_report_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
report = AbsoluteReport(**kwargs)
outfile = os.path.join(
self.eval_dir,
get_experiment_name() + "." + report.output_format)
self.add_report(report, outfile=outfile)
self.add_step(
'publish-absolute-report', subprocess.call, ['publish', outfile])
def add_comparison_table_step(self, **kwargs):
"""Add a step that makes pairwise revision comparisons.
Create comparative reports for all pairs of Fast Downward
revisions. Each report pairs up the runs of the same config and
lists the two absolute attribute values and their difference
for all attributes in kwargs["attributes"].
All *kwargs* will be passed to the CompareConfigsReport class.
If the keyword argument *attributes* is not specified, a
default list of attributes is used. ::
exp.add_comparison_table_step(attributes=["coverage"])
"""
kwargs.setdefault("attributes", self.DEFAULT_TABLE_ATTRIBUTES)
def make_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
compared_configs = []
for config in self._configs:
config_nick = config.nick
compared_configs.append(
("%s-%s" % (rev1, config_nick),
"%s-%s" % (rev2, config_nick),
"Diff (%s)" % config_nick))
report = ComparativeReport(compared_configs, **kwargs)
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.%s" % (
self.name, rev1, rev2, report.output_format))
report(self.eval_dir, outfile)
def publish_comparison_tables():
for rev1, rev2 in itertools.combinations(self._revisions, 2):
outfile = os.path.join(
self.eval_dir,
"%s-%s-%s-compare.html" % (self.name, rev1, rev2))
subprocess.call(["publish", outfile])
self.add_step("make-comparison-tables", make_comparison_tables)
self.add_step(
"publish-comparison-tables", publish_comparison_tables)
def add_scatter_plot_step(self, relative=False, attributes=None):
"""Add step creating (relative) scatter plots for all revision pairs.
Create a scatter plot for each combination of attribute,
configuration and revisions pair. If *attributes* is not
specified, a list of common scatter plot attributes is used.
For portfolios all attributes except "cost", "coverage" and
"plan_length" will be ignored. ::
exp.add_scatter_plot_step(attributes=["expansions"])
"""
if relative:
report_class = RelativeScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-relative")
step_name = "make-relative-scatter-plots"
else:
report_class = ScatterPlotReport
scatter_dir = os.path.join(self.eval_dir, "scatter-absolute")
step_name = "make-absolute-scatter-plots"
if attributes is None:
attributes = self.DEFAULT_SCATTER_PLOT_ATTRIBUTES
def make_scatter_plot(config_nick, rev1, rev2, attribute):
name = "-".join([self.name, rev1, rev2, attribute, config_nick])
print "Make scatter plot for", name
algo1 = "{}-{}".format(rev1, config_nick)
algo2 = "{}-{}".format(rev2, config_nick)
report = report_class(
filter_config=[algo1, algo2],
attributes=[attribute],
get_category=lambda run1, run2: run1["domain"],
legend_location=(1.3, 0.5))
report(
self.eval_dir,
os.path.join(scatter_dir, rev1 + "-" + rev2, name))
def make_scatter_plots():
for config in self._configs:
for rev1, rev2 in itertools.combinations(self._revisions, 2):
for attribute in self.get_supported_attributes(
config.nick, attributes):
make_scatter_plot(config.nick, rev1, rev2, attribute)
self.add_step(step_name, make_scatter_plots)
| 14,198 |
Python
| 35.689922 | 79 | 0.614241 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v3-opt.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v2", "issue693-v3"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("blind", "astar(blind())"),
("divpot", "astar(diverse_potentials())"),
("lmcut", "astar(lmcut())"),
("cegar", "astar(cegar())"),
("systematic2", "astar(cpdbs(systematic(2)))"),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
attributes = [
"coverage", "error", "expansions_until_last_jump", "memory",
"score_memory", "total_time", "score_total_time"]
# Compare revisions.
# lmcut-base-32 vs. lmcut-v1-32 vs. lmcut-v3-32
# lmcut-base-64 vs. lmcut-v1-64 vs. lmcut-v3-64
for build in BUILDS:
for rev1, rev2 in itertools.combinations(REVISIONS, 2):
algorithm_pairs = [
("{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals()),
"Diff ({config_nick}-{build})".format(**locals()))
for config_nick, search in SEARCHES]
exp.add_report(
ComparativeReport(algorithm_pairs, attributes=attributes),
name="issue693-opt-{rev1}-vs-{rev2}-{build}".format(**locals()))
exp.run_steps()
| 2,171 |
Python
| 29.591549 | 80 | 0.659143 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v7-opt.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v7-base", "issue693-v7"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("blind", "astar(blind())"),
("lmcut", "astar(lmcut())"),
("cegar", "astar(cegar())"),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_comparison_table_step()
exp.run_steps()
| 1,270 |
Python
| 24.938775 | 80 | 0.694488 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v4-opt.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v4-base", "issue693-v4"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("blind", "astar(blind())"),
("divpot", "astar(diverse_potentials())"),
("lmcut", "astar(lmcut())"),
("cegar", "astar(cegar())"),
("systematic2", "astar(cpdbs(systematic(2)))"),
("mas",
"astar(merge_and_shrink("
"shrink_strategy=shrink_bisimulation(greedy=false),"
"merge_strategy=merge_stateless("
"merge_selector=score_based_filtering("
"scoring_functions=[goal_relevance,dfp,total_order])),"
"label_reduction=exact(before_shrinking=true,before_merging=false),"
"max_states=50000,threshold_before_merge=1))")
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
attributes = IssueExperiment.DEFAULT_TABLE_ATTRIBUTES
# Compare revisions.
for build in BUILDS:
for rev1, rev2 in itertools.combinations(REVISIONS, 2):
algorithm_pairs = [
("{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals()),
"Diff ({config_nick}-{build})".format(**locals()))
for config_nick, search in SEARCHES]
exp.add_report(
ComparativeReport(algorithm_pairs, attributes=attributes),
name="issue693-opt-{rev1}-vs-{rev2}-{build}".format(**locals()))
exp.run_steps()
| 2,393 |
Python
| 30.92 | 80 | 0.663184 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v6-blind.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v5", "issue693-v6"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("blind", "astar(blind())"),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build, "--search-time-limit", "1m"])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
# Compare revisions.
for build in BUILDS:
for rev1, rev2 in itertools.combinations(REVISIONS, 2):
algorithm_pairs = [
("{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals()),
"Diff ({config_nick}-{build})".format(**locals()))
for config_nick, search in SEARCHES]
exp.add_report(
ComparativeReport(
algorithm_pairs,
attributes=IssueExperiment.DEFAULT_TABLE_ATTRIBUTES),
name="issue693-opt-{rev1}-vs-{rev2}-{build}".format(**locals()))
for config_nick, search in SEARCHES:
algorithms = [
"{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals())]
for attribute in ["total_time", "memory"]:
exp.add_report(
RelativeScatterPlotReport(
attributes=[attribute],
filter_algorithm=algorithms,
get_category=lambda run1, run2: run1["domain"]),
name="issue693-relative-scatter-{config_nick}-{build}-{rev1}-vs-{rev2}-{attribute}".format(**locals()))
exp.run_steps()
| 2,443 |
Python
| 32.479452 | 123 | 0.615227 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v2-blind.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-base", "issue693-v1", "issue693-v2"]
BUILDS = ["release32"]
SEARCHES = [
("blind", "astar(blind())"),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
exp.run_steps()
| 1,235 |
Python
| 24.224489 | 80 | 0.708502 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v7-sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v7-base", "issue693-v7"]
BUILDS = ["release32", "release64"]
CONFIGS = [
IssueConfig(
"lama-first-{build}".format(**locals()),
[],
build_options=[build],
driver_options=["--build", build, "--alias", "lama-first"])
for build in BUILDS
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_comparison_table_step()
exp.run_steps()
| 1,138 |
Python
| 25.488372 | 80 | 0.717926 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/relativescatter.py
|
# -*- coding: utf-8 -*-
from collections import defaultdict
from matplotlib import ticker
from downward.reports.scatter import ScatterPlotReport
from downward.reports.plot import PlotReport, Matplotlib, MatplotlibPlot
# TODO: handle outliers
# TODO: this is mostly copied from ScatterMatplotlib (scatter.py)
class RelativeScatterMatplotlib(Matplotlib):
@classmethod
def _plot(cls, report, axes, categories, styles):
# Display grid
axes.grid(b=True, linestyle='-', color='0.75')
has_points = False
# Generate the scatter plots
for category, coords in sorted(categories.items()):
X, Y = zip(*coords)
axes.scatter(X, Y, s=42, label=category, **styles[category])
if X and Y:
has_points = True
if report.xscale == 'linear' or report.yscale == 'linear':
plot_size = report.missing_val * 1.01
else:
plot_size = report.missing_val * 1.25
# make 5 ticks above and below 1
yticks = []
tick_step = report.ylim_top**(1/5.0)
for i in xrange(-5, 6):
yticks.append(tick_step**i)
axes.set_yticks(yticks)
axes.get_yaxis().set_major_formatter(ticker.ScalarFormatter())
axes.set_xlim(report.xlim_left or -1, report.xlim_right or plot_size)
axes.set_ylim(report.ylim_bottom or -1, report.ylim_top or plot_size)
for axis in [axes.xaxis, axes.yaxis]:
MatplotlibPlot.change_axis_formatter(
axis,
report.missing_val if report.show_missing else None)
return has_points
class RelativeScatterPlotReport(ScatterPlotReport):
"""
Generate a scatter plot that shows a relative comparison of two
algorithms with regard to the given attribute. The attribute value
of algorithm 1 is shown on the x-axis and the relation to the value
of algorithm 2 on the y-axis.
"""
def __init__(self, show_missing=True, get_category=None, **kwargs):
ScatterPlotReport.__init__(self, show_missing, get_category, **kwargs)
if self.output_format == 'tex':
raise "not supported"
else:
self.writer = RelativeScatterMatplotlib
def _fill_categories(self, runs):
# We discard the *runs* parameter.
# Map category names to value tuples
categories = defaultdict(list)
self.ylim_bottom = 2
self.ylim_top = 0.5
self.xlim_left = float("inf")
for (domain, problem), runs in self.problem_runs.items():
if len(runs) != 2:
continue
run1, run2 = runs
assert (run1['algorithm'] == self.algorithms[0] and
run2['algorithm'] == self.algorithms[1])
val1 = run1.get(self.attribute)
val2 = run2.get(self.attribute)
if val1 is None or val2 is None:
continue
category = self.get_category(run1, run2)
assert val1 > 0, (domain, problem, self.algorithms[0], val1)
assert val2 > 0, (domain, problem, self.algorithms[1], val2)
x = val1
y = val2 / float(val1)
categories[category].append((x, y))
self.ylim_top = max(self.ylim_top, y)
self.ylim_bottom = min(self.ylim_bottom, y)
self.xlim_left = min(self.xlim_left, x)
# center around 1
if self.ylim_bottom < 1:
self.ylim_top = max(self.ylim_top, 1 / float(self.ylim_bottom))
if self.ylim_top > 1:
self.ylim_bottom = min(self.ylim_bottom, 1 / float(self.ylim_top))
return categories
def _set_scales(self, xscale, yscale):
# ScatterPlot uses log-scaling on the x-axis by default.
PlotReport._set_scales(
self, xscale or self.attribute.scale or 'log', 'log')
| 3,875 |
Python
| 35.566037 | 78 | 0.59871 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v5-opt.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v5-base", "issue693-v5"]
BUILDS = ["release32"]
SEARCHES = [
("blind", "astar(blind())"),
("divpot", "astar(diverse_potentials())"),
("lmcut", "astar(lmcut())"),
("cegar", "astar(cegar())"),
("systematic2", "astar(cpdbs(systematic(2)))"),
("mas",
"astar(merge_and_shrink("
"shrink_strategy=shrink_bisimulation(greedy=false),"
"merge_strategy=merge_stateless("
"merge_selector=score_based_filtering("
"scoring_functions=[goal_relevance,dfp,total_order])),"
"label_reduction=exact(before_shrinking=true,before_merging=false),"
"max_states=50000,threshold_before_merge=1))")
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build, "--search-time-limit", "5m"])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_OPTIMAL_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
attributes = IssueExperiment.DEFAULT_TABLE_ATTRIBUTES
# Compare revisions.
for build in BUILDS:
for rev1, rev2 in itertools.combinations(REVISIONS, 2):
algorithm_pairs = [
("{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals()),
"Diff ({config_nick}-{build})".format(**locals()))
for config_nick, search in SEARCHES]
exp.add_report(
ComparativeReport(algorithm_pairs, attributes=attributes),
name="issue693-opt-{rev1}-vs-{rev2}-{build}".format(**locals()))
exp.run_steps()
| 2,409 |
Python
| 31.133333 | 80 | 0.6621 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v3-sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v2", "issue693-v3"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("ff_lazy", "lazy_greedy(ff())"),
("cg_eager", "eager_greedy(cg())"),
("lm_rhw", "lazy_greedy(lmcount(lm_rhw()))"),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
["--search", search],
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
attributes = [
"coverage", "error", "expansions_until_last_jump", "memory",
"score_memory", "total_time", "score_total_time"]
# Compare revisions.
# lmcut-base-32 vs. lmcut-v1-32 vs. lmcut-v3-32
# lmcut-base-64 vs. lmcut-v1-64 vs. lmcut-v3-64
for build in BUILDS:
for rev1, rev2 in itertools.combinations(REVISIONS, 2):
algorithm_pairs = [
("{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals()),
"Diff ({config_nick}-{build})".format(**locals()))
for config_nick, search in SEARCHES]
exp.add_report(
ComparativeReport(algorithm_pairs, attributes=attributes),
name="issue693-sat-{rev1}-vs-{rev2}-{build}".format(**locals()))
exp.run_steps()
| 2,105 |
Python
| 29.521739 | 80 | 0.662708 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/v4-sat.py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import itertools
import os
from lab.environments import LocalEnvironment, MaiaEnvironment
from downward.reports.compare import ComparativeReport
import common_setup
from common_setup import IssueConfig, IssueExperiment, RelativeScatterPlotReport
DIR = os.path.dirname(os.path.abspath(__file__))
BENCHMARKS_DIR = os.environ["DOWNWARD_BENCHMARKS"]
REVISIONS = ["issue693-v4-base", "issue693-v4"]
BUILDS = ["release32", "release64"]
SEARCHES = [
("ff_lazy", ["--heuristic", "h=ff()", "--search", "lazy_greedy(h, preferred=h)"]),
("add_lazy", ["--heuristic", "h=add()", "--search", "lazy_greedy(h, preferred=h)"]),
("ff_eager", ["--heuristic", "h=ff()", "--search", "eager_greedy(h, preferred=h)"]),
]
CONFIGS = [
IssueConfig(
"{nick}-{build}".format(**locals()),
search,
build_options=[build],
driver_options=["--build", build])
for nick, search in SEARCHES
for build in BUILDS
] + [
IssueConfig(
"lama-first-{build}".format(**locals()),
[],
build_options=[build],
driver_options=["--build", build, "--alias", "lama-first"])
for build in BUILDS
]
SUITE = common_setup.DEFAULT_SATISFICING_SUITE
ENVIRONMENT = MaiaEnvironment(
priority=0, email="[email protected]")
if common_setup.is_test_run():
SUITE = IssueExperiment.DEFAULT_TEST_SUITE
ENVIRONMENT = LocalEnvironment(processes=1)
exp = IssueExperiment(
revisions=REVISIONS,
configs=CONFIGS,
environment=ENVIRONMENT,
)
exp.add_suite(BENCHMARKS_DIR, SUITE)
exp.add_absolute_report_step()
exp.add_comparison_table_step()
attributes = IssueExperiment.DEFAULT_TABLE_ATTRIBUTES
# Compare revisions.
for build in BUILDS:
for rev1, rev2 in itertools.combinations(REVISIONS, 2):
algorithm_pairs = [
("{rev1}-{config_nick}-{build}".format(**locals()),
"{rev2}-{config_nick}-{build}".format(**locals()),
"Diff ({config_nick}-{build})".format(**locals()))
for config_nick in [nick for nick, _ in SEARCHES] + ["lama-first"]]
exp.add_report(
ComparativeReport(algorithm_pairs, attributes=attributes),
name="issue693-sat-{rev1}-vs-{rev2}-{build}".format(**locals()))
exp.run_steps()
| 2,295 |
Python
| 30.888888 | 88 | 0.647059 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/hash-microbenchmark/main.cc
|
#include <algorithm>
#include <ctime>
#include <functional>
#include <iostream>
#include <string>
#include <unordered_set>
#include "fast_hash.h"
#include "hash.h"
#include "SpookyV2.h"
using namespace std;
static void benchmark(const string &desc, int num_calls,
const function<void()> &func) {
cout << "Running " << desc << " " << num_calls << " times:" << flush;
clock_t start = clock();
for (int j = 0; j < num_calls; ++j)
func();
clock_t end = clock();
double duration = static_cast<double>(end - start) / CLOCKS_PER_SEC;
cout << " " << duration << "s" << endl;
}
static int scramble(int i) {
return (0xdeadbeef * i) ^ 0xfeedcafe;
}
#define rot32(x, k) (((x) << (k)) | ((x) >> (32 - (k))))
#define mix32(a, b, c) \
{ \
a -= c; a ^= rot32(c, 4); c += b; \
b -= a; b ^= rot32(a, 6); a += c; \
c -= b; c ^= rot32(b, 8); b += a; \
a -= c; a ^= rot32(c, 16); c += b; \
b -= a; b ^= rot32(a, 19); a += c; \
c -= b; c ^= rot32(b, 4); b += a; \
}
#define final32(a, b, c) \
{ \
c ^= b; c -= rot32(b, 14); \
a ^= c; a -= rot32(c, 11); \
b ^= a; b -= rot32(a, 25); \
c ^= b; c -= rot32(b, 16); \
a ^= c; a -= rot32(c, 4); \
b ^= a; b -= rot32(a, 14); \
c ^= b; c -= rot32(b, 24); \
}
inline unsigned int hash_unsigned_int_sequence(
const int *k, unsigned int length, unsigned int initval) {
unsigned int a, b, c;
// Set up the internal state.
a = b = c = 0xdeadbeef + (length << 2) + initval;
// Handle most of the key.
while (length > 3) {
a += k[0];
b += k[1];
c += k[2];
mix32(a, b, c);
length -= 3;
k += 3;
}
// Handle the last 3 unsigned ints. All case statements fall through.
switch (length) {
case 3:
c += k[2];
case 2:
b += k[1];
case 1:
a += k[0];
final32(a, b, c);
// case 0: nothing left to add.
case 0:
break;
}
return c;
}
struct BurtleBurtleHash {
std::size_t operator()(const std::vector<int> &vec) const {
return hash_unsigned_int_sequence(vec.data(), vec.size(), 2016);
}
};
using BurtleBurtleHashSet = std::unordered_set<vector<int>, BurtleBurtleHash>;
struct HashWordHash {
std::size_t operator()(const std::vector<int> &vec) const {
utils::HashState hash_state;
hash_state.feed_ints(vec.data(), vec.size());
return hash_state.get_hash64();
}
};
struct SpookyV2Hash {
std::size_t operator()(const std::vector<int> &vec) const {
return SpookyHash::Hash64(vec.data(), vec.size() * 4, 2016);
}
};
struct SpookyV2HashInt {
std::size_t operator()(int i) const {
return SpookyHash::Hash64(&i, sizeof(int), 2016);
}
};
int main(int, char **) {
const int REPETITIONS = 2;
const int NUM_CALLS = 100000;
const int NUM_INSERTIONS = 100;
for (int i = 0; i < REPETITIONS; ++i) {
benchmark("nothing", NUM_CALLS, [] () {});
cout << endl;
benchmark("insert int with BoostHash", NUM_CALLS,
[&]() {
unordered_set<int> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(scramble(i));
}
});
benchmark("insert int with BoostHashFeed", NUM_CALLS,
[&]() {
fast_hash::HashSet<int> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(scramble(i));
}
});
benchmark("insert int with BurtleFeed", NUM_CALLS,
[&]() {
utils::HashSet<int> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(scramble(i));
}
});
benchmark("insert int with SpookyHash", NUM_CALLS,
[&]() {
std::unordered_set<int, SpookyV2HashInt> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(scramble(i));
}
});
cout << endl;
benchmark("insert pair<int, int> with BoostHash", NUM_CALLS,
[&]() {
unordered_set<pair<int, int>> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(make_pair(scramble(i), scramble(i + 1)));
}
});
benchmark("insert pair<int, int> with BoostHashFeed", NUM_CALLS,
[&]() {
fast_hash::HashSet<pair<int, int>> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(make_pair(scramble(i), scramble(i + 1)));
}
});
benchmark("insert pair<int, int> with BurtleFeed", NUM_CALLS,
[&]() {
utils::HashSet<pair<int, int>> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
s.insert(make_pair(scramble(i), scramble(i + 1)));
}
});
cout << endl;
for (int length : {1, 10, 100}
) {
benchmark(
"insert vector<int> of size " + to_string(length) +
" with BoostHash", NUM_CALLS,
[&]() {
unordered_set<vector<int>> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
vector<int> v;
v.reserve(length);
for (int j = 0; j < length; ++j) {
v.push_back(scramble(NUM_INSERTIONS * length + j));
}
s.insert(v);
}
});
benchmark(
"insert vector<int> of size " + to_string(length) +
" with BoostHashFeed", NUM_CALLS,
[&]() {
fast_hash::HashSet<vector<int>> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
vector<int> v;
v.reserve(length);
for (int j = 0; j < length; ++j) {
v.push_back(scramble(NUM_INSERTIONS * length + j));
}
s.insert(v);
}
});
benchmark(
"insert vector<int> of size " + to_string(length) +
" with BurtleVector", NUM_CALLS,
[&]() {
BurtleBurtleHashSet s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
vector<int> v;
v.reserve(length);
for (int j = 0; j < length; ++j) {
v.push_back(scramble(NUM_INSERTIONS * length + j));
}
s.insert(v);
}
});
benchmark(
"insert vector<int> of size " + to_string(length) +
" with BurtleFeed", NUM_CALLS,
[&]() {
utils::HashSet<vector<int>> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
vector<int> v;
v.reserve(length);
for (int j = 0; j < length; ++j) {
v.push_back(scramble(NUM_INSERTIONS * length + j));
}
s.insert(v);
}
});
benchmark(
"insert vector<int> of size " + to_string(length) +
" with BurtleFeedVector", NUM_CALLS,
[&]() {
std::unordered_set<vector<int>, HashWordHash> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
vector<int> v;
v.reserve(length);
for (int j = 0; j < length; ++j) {
v.push_back(scramble(NUM_INSERTIONS * length + j));
}
s.insert(v);
}
});
benchmark(
"insert vector<int> of size " + to_string(length) +
" with SpookyHash", NUM_CALLS,
[&]() {
std::unordered_set<vector<int>, SpookyV2Hash> s;
for (int i = 0; i < NUM_INSERTIONS; ++i) {
vector<int> v;
v.reserve(length);
for (int j = 0; j < length; ++j) {
v.push_back(scramble(NUM_INSERTIONS * length + j));
}
s.insert(v);
}
});
cout << endl;
}
cout << endl;
}
return 0;
}
| 9,166 |
C++
| 32.334545 | 79 | 0.397883 |
makolon/hsr_isaac_tamp/hsr_tamp/downward/experiments/issue693/hash-microbenchmark/hash.h
|
#ifndef UTILS_HASH_H
#define UTILS_HASH_H
#include <cassert>
#include <cstddef>
#include <cstdint>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>
namespace utils {
/*
We provide a family of hash functions that are supposedly higher
quality than what is guaranteed by the standard library. Changing a
single bit in the input should typically change around half of the
bits in the final hash value. The hash functions we previously used
turned out to cluster when we tried hash tables with open addressing
for state registries.
The low-level hash functions are based on lookup3.c by Bob Jenkins,
May 2006, public domain. See http://www.burtleburtle.net/bob/c/lookup3.c.
To hash an object x, it is represented as a sequence of 32-bit
pieces (called the "code" for x, written code(x) in the following)
that are "fed" to the main hashing function (implemented in class
HashState) one by one. This allows a compositional approach to
hashing. For example, the code for a pair p is the concatenation of
code(x.first) and code(x.second).
A simpler compositional approach to hashing would first hash the
components of an object and then combine the hash values, and this
is what a previous version of our code did. The approach with an
explicit HashState object is stronger because the internal hash
state is larger (96 bits) than the final hash value and hence pairs
<x, y> and <x', y> where x and x' have the same hash value don't
necessarily collide. Another advantage of our approach is that we
can use the same overall hashing approach to generate hash values of
different types (e.g. 32-bit vs. 64-bit unsigned integers).
To extend the hashing mechanism to further classes, provide a
template specialization for the "feed" function. This must satisfy
the following requirements:
A) If x and y are objects of the same type, they should have code(x)
= code(y) iff x = y. That is, the code sequence should uniquely
describe each logically distinct object.
This requirement avoids unnecessary hash collisions. Of course,
there will still be "necessary" hash collisions because different
code sequences can collide in the low-level hash function.
B) To play nicely with composition, we additionally require that feed
implements a prefix code, i.e., for objects x != y of the same
type, code(x) must not be a prefix of code(y).
This requirement makes it much easier to define non-colliding
code sequences for composite objects such as pairs via
concatenation: if <a, b> != <a', b'>, then code(a) != code(a')
and code(b) != code(b') is *not* sufficient for concat(code(a),
code(b)) != concat(code(a'), code(b')). However, if we require a
prefix code, it *is* sufficient and the resulting code will again
be a prefix code.
Note that objects "of the same type" is meant as "logical type"
rather than C++ type.
For example, for objects such as vectors where we expect
different-length vectors to be combined in the same containers (=
have the same logical type), we include the length of the vector as
the first element in the code to ensure the prefix code property.
In contrast, for integer arrays encoding states, we *do not* include
the length as a prefix because states of different sizes are
considered to be different logical types and should not be mixed in
the same container, even though they are represented by the same C++
type.
*/
static_assert(sizeof(unsigned int) == 4, "unsigned int has unexpected size");
/*
Circular rotation (http://stackoverflow.com/a/31488147/224132).
*/
inline unsigned int rotate(unsigned int value, unsigned int offset) {
return (value << offset) | (value >> (32 - offset));
}
/*
Internal class storing the state of the hashing process. It should only be
instantiated by functions in this file.
*/
class HashState {
std::uint32_t a, b, c;
int pending_values;
/*
Mix the three 32-bit values bijectively.
Any information in (a, b, c) before mix() is still in (a, b, c) after
mix().
*/
void mix() {
a -= c;
a ^= rotate(c, 4);
c += b;
b -= a;
b ^= rotate(a, 6);
a += c;
c -= b;
c ^= rotate(b, 8);
b += a;
a -= c;
a ^= rotate(c, 16);
c += b;
b -= a;
b ^= rotate(a, 19);
a += c;
c -= b;
c ^= rotate(b, 4);
b += a;
}
/*
Final mixing of the three 32-bit values (a, b, c) into c.
Triples of (a, b, c) differing in only a few bits will usually produce
values of c that look totally different.
*/
void final_mix() {
c ^= b;
c -= rotate(b, 14);
a ^= c;
a -= rotate(c, 11);
b ^= a;
b -= rotate(a, 25);
c ^= b;
c -= rotate(b, 16);
a ^= c;
a -= rotate(c, 4);
b ^= a;
b -= rotate(a, 14);
c ^= b;
c -= rotate(b, 24);
}
public:
HashState()
: a(0xdeadbeef),
b(a),
c(a),
pending_values(0) {
}
void feed_ints(const int *values, int length) {
// Handle most of the key.
while (length > 3) {
a += values[0];
b += values[1];
c += values[2];
mix();
length -= 3;
values += 3;
}
// Handle the last 3 unsigned ints. All case statements fall through.
switch (length) {
case 3:
c += values[2];
case 2:
b += values[1];
case 1:
a += values[0];
final_mix();
// case 0: nothing left to add.
case 0:
break;
}
}
void feed(std::uint32_t value) {
assert(pending_values != -1);
if (pending_values == 3) {
mix();
pending_values = 0;
}
if (pending_values == 0) {
a += value;
++pending_values;
} else if (pending_values == 1) {
b += value;
++pending_values;
} else if (pending_values == 2) {
c += value;
++pending_values;
}
}
std::uint32_t get_hash32() {
assert(pending_values != -1);
if (pending_values) {
/*
pending_values == 0 can only hold if we never called
feed(), i.e., if we are hashing an empty sequence.
In this case we don't call final_mix for compatibility
with the original hash function by Jenkins.
*/
final_mix();
}
pending_values = -1;
return c;
}
std::uint64_t get_hash64() {
assert(pending_values != -1);
if (pending_values) {
// See comment for get_hash32.
final_mix();
}
pending_values = -1;
return (static_cast<std::uint64_t>(b) << 32) | c;
}
};
/*
These functions add a new object to an existing HashState object.
To add hashing support for a user type X, provide an override
for utils::feed(HashState &hash_state, const X &value).
*/
static_assert(
sizeof(int) == sizeof(std::uint32_t),
"int and uint32_t have different sizes");
inline void feed(HashState &hash_state, int value) {
hash_state.feed(static_cast<std::uint32_t>(value));
}
static_assert(
sizeof(unsigned int) == sizeof(std::uint32_t),
"unsigned int and uint32_t have different sizes");
inline void feed(HashState &hash_state, unsigned int value) {
hash_state.feed(static_cast<std::uint32_t>(value));
}
inline void feed(HashState &hash_state, std::uint64_t value) {
hash_state.feed(static_cast<std::uint32_t>(value));
value >>= 32;
hash_state.feed(static_cast<std::uint32_t>(value));
}
template<typename T>
void feed(HashState &hash_state, const T *p) {
// This is wasteful in 32-bit mode, but we plan to discontinue 32-bit compiles anyway.
feed(hash_state, reinterpret_cast<std::uint64_t>(p));
}
template<typename T1, typename T2>
void feed(HashState &hash_state, const std::pair<T1, T2> &p) {
feed(hash_state, p.first);
feed(hash_state, p.second);
}
template<typename T>
void feed(HashState &hash_state, const std::vector<T> &vec) {
/*
Feed vector size to ensure that no two different vectors of the same type
have the same code prefix.
*/
feed(hash_state, vec.size());
for (const T &item : vec) {
feed(hash_state, item);
}
}
/*
Public hash functions.
get_hash() is used internally by the HashMap and HashSet classes below. In
more exotic use cases, such as implementing a custom hash table, you can also
use `get_hash32()`, `get_hash64()` and `get_hash()` directly.
*/
template<typename T>
std::uint32_t get_hash32(const T &value) {
HashState hash_state;
feed(hash_state, value);
return hash_state.get_hash32();
}
template<typename T>
std::uint64_t get_hash64(const T &value) {
HashState hash_state;
feed(hash_state, value);
return hash_state.get_hash64();
}
template<typename T>
std::size_t get_hash(const T &value) {
return static_cast<std::size_t>(get_hash64(value));
}
// This struct should only be used by HashMap and HashSet below.
template<typename T>
struct Hash {
std::size_t operator()(const T &val) const {
return get_hash(val);
}
};
/*
Aliases for hash sets and hash maps in user code. All user code should use
utils::UnorderedSet and utils::UnorderedMap instead of std::unordered_set and
std::unordered_map.
To hash types that are not supported out of the box, implement utils::feed.
*/
template<typename T1, typename T2>
using HashMap = std::unordered_map<T1, T2, Hash<T1>>;
template<typename T>
using HashSet = std::unordered_set<T, Hash<T>>;
/* Transitional aliases and functions */
template<typename T1, typename T2>
using UnorderedMap = std::unordered_map<T1, T2>;
template<typename T>
using UnorderedSet = std::unordered_set<T>;
template<typename T>
inline void hash_combine(size_t &hash, const T &value) {
std::hash<T> hasher;
/*
The combination of hash values is based on issue 6.18 in
http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2005/n1756.pdf.
Boost combines hash values in the same way.
*/
hash ^= hasher(value) + 0x9e3779b9 + (hash << 6) + (hash >> 2);
}
template<typename Sequence>
size_t hash_sequence(const Sequence &data, size_t length) {
size_t hash = 0;
for (size_t i = 0; i < length; ++i) {
hash_combine(hash, data[i]);
}
return hash;
}
}
namespace std {
template<typename T>
struct hash<std::vector<T>> {
size_t operator()(const std::vector<T> &vec) const {
return utils::hash_sequence(vec, vec.size());
}
};
template<typename TA, typename TB>
struct hash<std::pair<TA, TB>> {
size_t operator()(const std::pair<TA, TB> &pair) const {
size_t hash = 0;
utils::hash_combine(hash, pair.first);
utils::hash_combine(hash, pair.second);
return hash;
}
};
}
#endif
| 11,173 |
C
| 28.877005 | 90 | 0.621319 |
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