def do_work(task):
method_name, suite_name, data_set, options = task
logging.info('Running %s', task)
suite = suite_for_name(suite_name)
fasta = suite.get_fasta_file_for_data_set(data_set)
predictions = F.run_as_subprocess(
"stempy.run_dataset",
"run_dataset",
method_name,
suite_name,
data_set,
fasta,
options
)
predictions_by_dataset.append((data_set, fasta, predictions))
dest="num_threads",
default=3,
type='int',
help="Number of threads to run jobs on."
)
option_parser.add_option("--data-sets", action="append")
stem.add_options(option_parser)
meme.add_options(option_parser)
options = stem.parse_options(option_parser=option_parser)
stem.turn_on_google_profiling_if_asked_for(options)
# for each method and suite
for method_name in method_names:
for suite_name in suite_names:
suite = suite_for_name(suite_name)
method = method_for_name(method_name)
predictions_by_dataset = []
import cookbook.function_as_task as F
def do_work(task):
method_name, suite_name, data_set, options = task
logging.info('Running %s', task)
suite = suite_for_name(suite_name)
fasta = suite.get_fasta_file_for_data_set(data_set)
predictions = F.run_as_subprocess(
"stempy.run_dataset",
"run_dataset",
method_name,
suite_name,
