def import_from_dict(cls, data):
data['executables'] = [
Executable.import_from_dict(executable_data)
for executable_data in data['executables']
]
data['executables'] = dict([(executable.filename, executable)
for executable in data['executables']])
data['testcases'] = [
Testcase.import_from_dict(testcase_data)
for testcase_data in data['testcases']
]
data['managers'] = [
Manager.import_from_dict(manager_data)
for manager_data in data['managers']
]
data['managers'] = dict([(manager.filename, manager)
for manager in data['managers']])
data['files'] = [
File.import_from_dict(file_data) for file_data in data['files']
]
data['files'] = dict([(file_.filename, file_)
for file_ in data['files']])
# XXX We convert the key from str to int because it was the key
# of a JSON object.
data['evaluations'] = dict(
(int(k), v) for k, v in data['evaluations'].iteritems())
return cls(**data)
def import_from_dict(cls, data):
data["files"] = [File.import_from_dict(file_data) for file_data in data["files"]]
data["files"] = dict([(file_.filename, file_) for file_ in data["files"]])
data["managers"] = [Manager.import_from_dict(manager_data) for manager_data in data["managers"]]
data["managers"] = dict([(manager.filename, manager) for manager in data["managers"]])
data["executables"] = [Executable.import_from_dict(executable_data) for executable_data in data["executables"]]
data["executables"] = dict([(executable.filename, executable) for executable in data["executables"]])
return cls(**data)
def import_from_dict(cls, data):
data['files'] = dict(
(k, File(k, v)) for k, v in data['files'].iteritems())
data['managers'] = dict(
(k, Manager(k, v)) for k, v in data['managers'].iteritems())
data['executables'] = dict(
(k, Executable(k, v)) for k, v in data['executables'].iteritems())
return cls(**data)
def import_from_dict(cls, data):
data["executables"] = [Executable.import_from_dict(executable_data) for executable_data in data["executables"]]
data["executables"] = dict([(executable.filename, executable) for executable in data["executables"]])
data["testcases"] = [Testcase.import_from_dict(testcase_data) for testcase_data in data["testcases"]]
data["managers"] = [Manager.import_from_dict(manager_data) for manager_data in data["managers"]]
data["managers"] = dict([(manager.filename, manager) for manager in data["managers"]])
data["files"] = [File.import_from_dict(file_data) for file_data in data["files"]]
data["files"] = dict([(file_.filename, file_) for file_ in data["files"]])
# XXX We convert the key from str to int because it was the key
# of a JSON object.
data["evaluations"] = dict((int(k), v) for k, v in data["evaluations"].iteritems())
return cls(**data)
def import_from_dict(cls, data):
data['files'] = [File.import_from_dict(file_data)
for file_data in data['files']]
data['files'] = dict([(file_.filename, file_)
for file_ in data['files']])
data['managers'] = [Manager.import_from_dict(manager_data)
for manager_data in data['managers']]
data['managers'] = dict([(manager.filename, manager)
for manager in data['managers']])
data['executables'] = [Executable.import_from_dict(executable_data)
for executable_data in data['executables']]
data['executables'] = dict([(executable.filename, executable)
for executable in data['executables']])
return cls(**data)
def import_from_dict(cls, data):
data['files'] = dict(
(k, File(k, v)) for k, v in data['files'].iteritems())
data['managers'] = dict(
(k, Manager(k, v)) for k, v in data['managers'].iteritems())
data['executables'] = dict(
(k, Executable(k, v)) for k, v in data['executables'].iteritems())
data['testcases'] = dict(
(k, Testcase(*v)) for k, v in data['testcases'].iteritems())
# XXX We convert the key from str to int because it was the key
# of a JSON object.
data['evaluations'] = dict(
(int(k), v) for k, v in data['evaluations'].iteritems())
return cls(**data)
def import_from_dict(cls, data):
data['executables'] = [Executable.import_from_dict(executable_data)
for executable_data in data['executables']]
data['executables'] = dict([(executable.filename, executable)
for executable in data['executables']])
data['testcases'] = [Testcase.import_from_dict(testcase_data)
for testcase_data in data['testcases']]
data['managers'] = [Manager.import_from_dict(manager_data)
for manager_data in data['managers']]
data['managers'] = dict([(manager.filename, manager)
for manager in data['managers']])
data['files'] = [File.import_from_dict(file_data)
for file_data in data['files']]
data['files'] = dict([(file_.filename, file_)
for file_ in data['files']])
return cls(**data)
def get_params_for_task(self, path, num):
"""Given the path of a task, this function put all needed data
into FS, and fills the dictionary of parameters required by
Task.import_from_dict().
path (string): path of the task.
num (int): number of the task in the contest task ordering.
return (dict): info of the task.
"""
path = os.path.realpath(path)
super_path, name = os.path.split(path)
conf = yaml.load(
codecs.open(os.path.join(super_path, name + ".yaml"), "r",
"utf-8"))
logger.info("Loading parameters for task %s." % name)
params = {"name": name}
assert name == conf["nome_breve"]
params["title"] = conf["nome"]
if name == params["title"]:
logger.warning("Short name equals long name (title). "
"Is this intended?")
params["num"] = num
params["time_limit"] = conf.get("timeout", None)
params["memory_limit"] = conf.get("memlimit", None)
params["attachments"] = [] # FIXME - Use auxiliary
params["statements"] = [
Statement(
self.file_cacher.put_file(
path=os.path.join(path, "testo", "testo.pdf"),
description="Statement for task %s (lang: )" % name),
"").export_to_dict()
]
params["official_language"] = \
conf.get("official_language", "en_official")
params["submission_format"] = [
SubmissionFormatElement("%s.%%l" % name).export_to_dict()
]
# Builds the parameters that depend on the task type
params["managers"] = []
infile_param = conf.get("infile", "input.txt")
outfile_param = conf.get("outfile", "output.txt")
# If there is sol/grader.%l for some language %l, then,
# presuming that the task type is Batch, we retrieve graders
# in the form sol/grader.%l
graders = False
for lang in Submission.LANGUAGES:
if os.path.exists(os.path.join(path, "sol", "grader.%s" % (lang))):
graders = True
break
if graders:
# Read grader for each language
for lang in Submission.LANGUAGES:
grader_filename = os.path.join(path, "sol",
"grader.%s" % (lang))
if os.path.exists(grader_filename):
params["managers"].append(
Manager(
self.file_cacher.put_file(
path=grader_filename,
description="Grader for task %s and "
"language %s" % (name, lang)),
"grader.%s" % (lang)).export_to_dict())
else:
logger.warning("Could not find grader for "
"language %s" % (lang))
# Read managers with other known file extensions
for other_filename in os.listdir(os.path.join(path, "sol")):
if other_filename.endswith('.h') or \
other_filename.endswith('lib.pas'):
params["managers"].append(
Manager(
self.file_cacher.put_file(
path=os.path.join(path, "sol", other_filename),
description="Manager %s for task %s" %
(other_filename, name)),
other_filename).export_to_dict())
compilation_param = "grader"
else:
compilation_param = "alone"
# If there is cor/correttore, then, presuming that the task
# type is Batch or OutputOnly, we retrieve the comparator
if os.path.exists(os.path.join(path, "cor", "correttore")):
params["managers"] += [
Manager(
self.file_cacher.put_file(
path=os.path.join(path, "cor", "correttore"),
description="Manager for task %s" % (name)),
"checker").export_to_dict()
]
evaluation_parameter = "comparator"
else:
evaluation_parameter = "diff"
# Detect subtasks by checking GEN
gen_filename = os.path.join(path, 'gen', 'GEN')
with open(gen_filename) as gen_file:
subtasks = []
testcases = 0
points = None
for line in gen_file:
line = line.strip()
splitted = line.split('#', 1)
if len(splitted) == 1:
# This line represents a testcase, otherwise it's
# just a blank
if splitted[0] != '':
testcases += 1
else:
testcase, comment = splitted
testcase_detected = False
subtask_detected = False
if testcase.strip() != '':
testcase_detected = True
comment = comment.strip()
if comment.startswith('ST:'):
subtask_detected = True
if testcase_detected and subtask_detected:
raise Exception("No testcase and subtask in the"
" same line allowed")
# This line represents a testcase and contains a
# comment, but the comment doesn't start a new
# subtask
if testcase_detected:
testcases += 1
# This line starts a new subtask
if subtask_detected:
# Close the previous subtask
if points is None:
assert (testcases == 0)
else:
subtasks.append([points, testcases])
# Open the new one
testcases = 0
points = int(comment[3:].strip())
# Close last subtask (if no subtasks were defined, just
# fallback to Sum)
if points is None:
params["score_type"] = "Sum"
input_value = 0.0
if testcases != 0:
input_value = 100.0 / float(testcases)
params["score_parameters"] = str(input_value)
else:
subtasks.append([points, testcases])
assert (100 == sum([int(st[0]) for st in subtasks]))
assert (int(conf['n_input']) == sum(
[int(st[1]) for st in subtasks]))
params["score_type"] = "GroupMin"
params["score_parameters"] = str(subtasks)
# If output_only is set, then the task type is OutputOnly
if conf.get('output_only', False):
params["task_type"] = "OutputOnly"
params["time_limit"] = None
params["memory_limit"] = None
params["task_type_parameters"] = '["%s"]' % (evaluation_parameter)
params["submission_format"] = [
SubmissionFormatElement("output_%03d.txt" %
(i)).export_to_dict()
for i in xrange(int(conf["n_input"]))
]
# If there is cor/manager, then the task type is Communication
elif os.path.exists(os.path.join(path, "cor", "manager")):
params["task_type"] = "Communication"
params["task_type_parameters"] = '[]'
params["managers"] += [
Manager(
self.file_cacher.put_file(
path=os.path.join(path, "cor", "manager"),
description="Manager for task %s" % (name)),
"manager").export_to_dict()
]
for lang in Submission.LANGUAGES:
stub_name = os.path.join(path, "sol", "stub.%s" % lang)
if os.path.exists(stub_name):
params["managers"].append(
Manager(
self.file_cacher.put_file(
path=stub_name,
description="Stub for task %s and language %s"
% (name, lang)),
"stub.%s" % lang).export_to_dict())
else:
logger.warning("Stub for language %s not found." % lang)
# Otherwise, the task type is Batch
else:
params["task_type"] = "Batch"
params["task_type_parameters"] = \
'["%s", ["%s", "%s"], "%s"]' % \
(compilation_param, infile_param, outfile_param,
evaluation_parameter)
public_testcases = conf.get("risultati", "").strip()
if public_testcases != "":
public_testcases = [
int(x.strip()) for x in public_testcases.split(",")
]
else:
public_testcases = []
params["testcases"] = []
for i in xrange(int(conf["n_input"])):
_input = os.path.join(path, "input", "input%d.txt" % i)
output = os.path.join(path, "output", "output%d.txt" % i)
input_digest = self.file_cacher.put_file(
path=_input, description="Input %d for task %s" % (i, name))
output_digest = self.file_cacher.put_file(
path=output, description="Output %d for task %s" % (i, name))
params["testcases"].append(
Testcase(input_digest,
output_digest,
public=(i in public_testcases)).export_to_dict())
if params["task_type"] == "OutputOnly":
params["attachments"].append(
Attachment(input_digest,
"input_%03d.txt" % (i)).export_to_dict())
params["token_initial"] = conf.get("token_initial", None)
params["token_max"] = conf.get("token_max", None)
params["token_total"] = conf.get("token_total", None)
params["token_min_interval"] = conf.get("token_min_interval", 0)
params["token_gen_time"] = conf.get("token_gen_time", 0)
params["token_gen_number"] = conf.get("token_gen_number", 0)
params["max_submission_number"] = \
conf.get("max_submission_number", None)
params["max_user_test_number"] = \
conf.get("max_user_test_number", None)
params["min_submission_interval"] = \
conf.get("min_submission_interval", None)
params["min_user_test_interval"] = \
conf.get("min_user_test_interval", None)
logger.info("Task parameters loaded.")
return params
def get_params_for_task(self, path, num):
"""Given the path of a task, this function put all needed data
into FS, and fills the dictionary of parameters required by
Task.import_from_dict().
path (string): path of the task.
num (int): number of the task in the contest task ordering.
return (dict): info of the task.
"""
path = os.path.realpath(path)
super_path, name = os.path.split(path)
conf = yaml.load(
codecs.open(os.path.join(super_path, name + ".yaml"), "r",
"utf-8"))
logger.info("Loading parameters for task %s." % name)
params = {"name": name}
assert name == conf["nome_breve"]
params["title"] = conf["nome"]
if name == params["title"]:
logger.warning("Short name equals long name (title). "
"Is this intended?")
params["num"] = num
params["time_limit"] = conf.get("timeout", None)
params["memory_limit"] = conf.get("memlimit", None)
params["attachments"] = [] # FIXME - Use auxiliary
params["statements"] = [
Statement(
self.file_cacher.put_file(
path=os.path.join(path, "testo", "testo.pdf"),
description="Statement for task %s (lang: )" % name),
"").export_to_dict()
]
params["official_language"] = ""
params["submission_format"] = [
SubmissionFormatElement("%s.%%l" % name).export_to_dict()
]
# Builds the parameters that depend on the task type
params["managers"] = []
infile_param = conf.get("infile", "input.txt")
outfile_param = conf.get("outfile", "output.txt")
# If there is cor/grader.%l for some language %l, then,
# presuming that the task type is Batch, we retrieve graders
# in the form cor/grader.%l
graders = False
for lang in Submission.LANGUAGES:
if os.path.exists(os.path.join(path, "cor", "grader.%s" % (lang))):
graders = True
break
if graders:
for lang in Submission.LANGUAGES:
grader_filename = os.path.join(path, "cor",
"grader.%s" % (lang))
if os.path.exists(grader_filename):
params["managers"].append(
Manager(
self.file_cacher.put_file(
path=grader_filename,
description="Grader for task %s and "
"language %s" % (name, lang)),
"grader.%s" % (lang)).export_to_dict())
else:
logger.warning("Could not find grader for "
"language %s" % (lang))
compilation_param = "grader"
else:
compilation_param = "alone"
# If there is cor/correttore, then, presuming that the task
# type is Batch or OutputOnly, we retrieve the comparator
if os.path.exists(os.path.join(path, "cor", "correttore")):
params["managers"] += [
Manager(
self.file_cacher.put_file(
path=os.path.join(path, "cor", "correttore"),
description="Manager for task %s" % (name)),
"checker").export_to_dict()
]
evaluation_parameter = "comparator"
else:
evaluation_parameter = "diff"
# If there is no sol/ directory, the the task type is
# OutputOnly
if not os.path.exists(os.path.join(path, "sol")):
params["task_type"] = "OutputOnly"
params["task_type_parameters"] = '["%s"]' % (evaluation_parameter)
params["submission_format"] = [
SubmissionFormatElement("output_%03d.txt" %
(i)).export_to_dict()
for i in xrange(int(conf["n_input"]))
]
# If there is cor/manager, then the task type is Communication
elif os.path.exists(os.path.join(path, "cor", "manager")):
params["task_type"] = "Communication"
params["task_type_parameters"] = '[]'
params["managers"] += [
Manager(
self.file_cacher.put_file(
path=os.path.join(path, "cor", "manager"),
description="Manager for task %s" % (name)),
"manager").export_to_dict()
]
for lang in Submission.LANGUAGES:
stub_name = os.path.join(path, "sol", "stub.%s" % lang)
if os.path.exists(stub_name):
params["managers"].append(
Manager(
self.file_cacher.put_file(
path=stub_name,
description="Stub for task %s and language %s"
% (name, lang)),
"stub.%s" % lang).export_to_dict())
else:
logger.warning("Stub for language %s not found." % lang)
# Otherwise, the task type is Batch
else:
params["task_type"] = "Batch"
params["task_type_parameters"] = \
'["%s", ["%s", "%s"], "%s"]' % \
(compilation_param, infile_param, outfile_param,
evaluation_parameter)
params["score_type"] = conf.get("score_type", "Sum")
params["score_parameters"] = conf.get(
"score_parameters", str(100.0 / float(conf["n_input"])))
public_testcases = conf.get("risultati", "").strip()
if public_testcases != "":
public_testcases = [
int(x.strip()) for x in public_testcases.split(",")
]
else:
public_testcases = []
params["testcases"] = []
for i in xrange(int(conf["n_input"])):
_input = os.path.join(path, "input", "input%d.txt" % i)
output = os.path.join(path, "output", "output%d.txt" % i)
input_digest = self.file_cacher.put_file(
path=_input, description="Input %d for task %s" % (i, name))
output_digest = self.file_cacher.put_file(
path=output, description="Output %d for task %s" % (i, name))
params["testcases"].append(
Testcase(input_digest,
output_digest,
public=(i in public_testcases)).export_to_dict())
if params["task_type"] == "OutputOnly":
params["attachments"].append(
Attachment(input_digest,
"input_%03d.txt" % (i)).export_to_dict())
params["token_initial"] = conf.get("token_initial", None)
params["token_max"] = conf.get("token_max", None)
params["token_total"] = conf.get("token_total", None)
params["token_min_interval"] = conf.get("token_min_interval", 0)
params["token_gen_time"] = conf.get("token_gen_time", 0)
params["token_gen_number"] = conf.get("token_gen_number", 0)
logger.info("Task parameters loaded.")
return params