if introspection.is_std_lib(dependency) and not arguments.standard:
continue
# Check presency and version
if dependency in packages:
present = True
if arguments.version: version = packages[dependency]
else:
present = introspection.is_present_package(dependency)
version = None
# Check whether the current package is present
if present:
# Show package name, whether it's present and version number (if requested)
if version is not None:
log.success(dependency + ": present (version " + version + ")")
else:
log.success(dependency + ": present")
# The package is not present
else:
log.error(dependency + ": not found")
# List the PTS modules that have this dependency
if arguments.modules:
for script in script_list:
log.info(" " + script.split("PTS/pts/")[1])
# -----------------------------------------------------------------
seed = config.seed
prng = setup_prng(seed)
# -----------------------------------------------------------------
# path to the GA object
path = fs.join(fs.cwd(), "ga.pickle")
# Path to the parameter table
parameters_path = fs.join(fs.cwd(), "parameters.dat")
# -----------------------------------------------------------------
# Inform the user
log.info("Creating the GA engine ...")
# Genome instance
genome = G1DList(2)
genome.setParams(rangemin=0., rangemax=50., bestrawscore=0.00, rounddecimal=2)
genome.initializator.set(initializators.G1DListInitializatorReal)
genome.mutator.set(mutators.G1DListMutatorRealGaussian)
#genome.evaluator.set(chi_squared_function)
# Inform the user
log.info("Creating the GA engine ...")
# Genetic algorithm instance
ga = GAEngine(genome)
ga.terminationCriteria.set(RawScoreCriteria)
# Get the list of PTS scripts for this dependency
script_list = dependencies[dependency]
# Skip packages from the standard library, unless the appropriate flag is enabled
if introspection.is_std_lib(dependency) and not arguments.standard: continue
# Check presency and version
if dependency in packages:
present = True
if arguments.version: version = packages[dependency]
else:
present = introspection.is_present_package(dependency)
version = None
# Check whether the current package is present
if present:
# Show package name, whether it's present and version number (if requested)
if version is not None: log.success(dependency + ": present (version " + version + ")")
else: log.success(dependency + ": present")
# The package is not present
else: log.error(dependency + ": not found")
# List the PTS modules that have this dependency
if arguments.modules:
for script in script_list: log.info(" " + script.split("PTS/pts/")[1])
# -----------------------------------------------------------------
# -----------------------------------------------------------------
# Create the command-line parser
parser = argparse.ArgumentParser()
parser.add_argument("skifile", type=str, help="the name of the ski file")
parser.add_argument("threads", type=int, help="the number of parallel threads")
parser.add_argument("processes", type=int, help="the number of parallel processes")
# Parse the command line arguments
arguments = parser.parse_args()
# -----------------------------------------------------------------
# Initialize the logger
log.info("Starting estimate script ...")
# -----------------------------------------------------------------
# Determine the full path to the parameter file
ski_path = os.path.abspath(arguments.file)
# Create and run a ResourceEstimator oject
estimator = ResourceEstimator()
estimator.run(ski_path, arguments.processes, arguments.threads)
# Inform the user about the resource requirements
log.info("This simulation requires " + estimator.memory + " GB of virtual memory")
#log.info("This simulation requires a walltime of " + estimator.walltime)
# -----------------------------------------------------------------
seed = config.seed
prng = setup_prng(seed)
# -----------------------------------------------------------------
# path to the GA object
path = fs.join(fs.cwd(), "ga.pickle")
# Path to the parameter table
parameters_path = fs.join(fs.cwd(), "parameters.dat")
# -----------------------------------------------------------------
# Inform the user
log.info("Creating the GA engine ...")
# Genome instance
genome = G1DList(2)
genome.setParams(rangemin=0., rangemax=50., bestrawscore=0.00, rounddecimal=2)
genome.initializator.set(initializators.G1DListInitializatorReal)
genome.mutator.set(mutators.G1DListMutatorRealGaussian)
#genome.evaluator.set(chi_squared_function)
# Inform the user
log.info("Creating the GA engine ...")
# Genetic algorithm instance
ga = GAEngine(genome)
ga.terminationCriteria.set(RawScoreCriteria)
