def main_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
# Parses command line arguments.
command_args = a.parse_and_check(command)
default_output = ('evaluation' if command_args.evaluate
else 'predictions.csv')
resume = command_args.resume
if command_args.resume:
command_args, session_file, output_dir = get_stored_command(
args, command_args.debug, command_log=COMMAND_LOG,
dirs_log=DIRS_LOG, sessions_log=SESSIONS_LOG)
default_output = ('evaluation' if command_args.evaluate
else 'predictions.csv')
if command_args.predictions is None:
command_args.predictions = os.path.join(output_dir,
default_output)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = os.path.join(command_args.output_dir,
default_output)
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = os.path.join(command_args.output_dir,
command_args.predictions)
directory = u.check_dir(command_args.predictions)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
defaults_file = open(DEFAULTS_FILE, 'r')
contents = defaults_file.read()
defaults_file.close()
defaults_copy = open(os.path.join(directory, DEFAULTS_FILE),
'w', 0)
defaults_copy.write(contents)
defaults_copy.close()
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
api = a.get_api_instance(command_args, u.check_dir(session_file))
if (a.has_train(command_args) or a.has_test(command_args)
or command_args.votes_dirs):
output_args = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api,
command.user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def cluster_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
# Parses command line arguments.
command_args = a.parse_and_check(command)
resume = command_args.resume
if command_args.resume:
# Keep the debug option if set
debug = command_args.debug
# Restore the args of the call to resume from the command log file
stored_command = StoredCommand(args, COMMAND_LOG, DIRS_LOG)
command = Command(None, stored_command=stored_command)
# Logs the issued command and the resumed command
session_file = os.path.join(stored_command.output_dir, SESSIONS_LOG)
stored_command.log_command(session_file=session_file)
# Parses resumed arguments.
command_args = a.parse_and_check(command)
if command_args.predictions is None:
command_args.predictions = os.path.join(stored_command.output_dir, DEFAULT_OUTPUT)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = os.path.join(command_args.output_dir, DEFAULT_OUTPUT)
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = os.path.join(command_args.output_dir, command_args.predictions)
directory = u.check_dir(command_args.predictions)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
defaults_file = open(DEFAULTS_FILE, "r")
contents = defaults_file.read()
defaults_file.close()
defaults_copy = open(os.path.join(directory, DEFAULTS_FILE), "w", 0)
defaults_copy.write(contents)
defaults_copy.close()
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory), log_file=DIRS_LOG)
# Creates the corresponding api instance
if resume and debug:
command_args.debug = True
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform
if has_train(command_args) or has_test(command_args) or command_args.cluster_datasets is not None:
output_args = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api, command.user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def cluster_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
# Parses command line arguments.
command_args = a.parse_and_check(command)
resume = command_args.resume
if command_args.resume:
command_args, session_file, output_dir = get_stored_command(
args,
command_args.debug,
command_log=COMMAND_LOG,
dirs_log=DIRS_LOG,
sessions_log=SESSIONS_LOG)
if command_args.predictions is None:
command_args.predictions = os.path.join(output_dir, DEFAULT_OUTPUT)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = os.path.join(command_args.output_dir,
DEFAULT_OUTPUT)
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = os.path.join(command_args.output_dir,
command_args.predictions)
directory = u.check_dir(command_args.predictions)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
defaults_file = open(DEFAULTS_FILE, 'r')
contents = defaults_file.read()
defaults_file.close()
defaults_copy = open(os.path.join(directory, DEFAULTS_FILE), 'w',
0)
defaults_copy.write(contents)
defaults_copy.close()
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform
if (a.has_train(command_args) or a.has_test(command_args)
or command_args.cluster_datasets is not None):
output_args = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api,
command.user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def logistic_regression_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
# Parses command line arguments.
command_args = a.parse_and_check(command)
default_output = ('evaluation'
if command_args.evaluate else 'predictions.csv')
resume = command_args.resume
if command_args.resume:
command_args, session_file, output_dir = get_stored_command(
args,
command_args.debug,
command_log=COMMAND_LOG,
dirs_log=DIRS_LOG,
sessions_log=SESSIONS_LOG)
default_output = ('evaluation'
if command_args.evaluate else 'predictions.csv')
if command_args.predictions is None:
command_args.predictions = os.path.join(output_dir, default_output)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = os.path.join(command_args.output_dir,
default_output)
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = os.path.join(command_args.output_dir,
command_args.predictions)
directory = u.check_dir(command_args.predictions)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
shutil.copy(DEFAULTS_FILE, os.path.join(directory, DEFAULTS_FILE))
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform
if (a.has_train(command_args) or a.has_test(command_args)
or command_args.export_fields):
output_args = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api,
command.user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def cluster_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
# Parses command line arguments.
command_args = a.parse_and_check(command)
resume = command_args.resume
if command_args.resume:
command_args, session_file, output_dir = get_stored_command(
args, command_args.debug, command_log=COMMAND_LOG,
dirs_log=DIRS_LOG, sessions_log=SESSIONS_LOG)
if command_args.predictions is None:
command_args.predictions = os.path.join(output_dir,
DEFAULT_OUTPUT)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = os.path.join(command_args.output_dir,
DEFAULT_OUTPUT)
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = os.path.join(command_args.output_dir,
command_args.predictions)
directory = u.check_dir(command_args.predictions)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
shutil.copy(DEFAULTS_FILE, os.path.join(directory, DEFAULTS_FILE))
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform
if (a.has_train(command_args) or a.has_test(command_args)
or command_args.cluster_datasets is not None
or command_args.export_fields is not None):
output_args = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api,
command.user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def fill_remote_context(command_args, command, session_file,
resume=False, api=None):
"""Fills the part of the context that needs to be retrieved from the
remote server. Creates a connection to the API and manages the requests
that retrive the resource ids to be used. Transforms arguments from the
command-line-friendly format to the required structure.
"""
if api is None:
api = a.get_api_instance(command_args, u.check_dir(session_file))
a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api)
return command_args, api
def execute_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
default_output = 'whizzml_results'
# Parses command line arguments.
command_args = a.parse_and_check(command)
resume = command_args.resume
if command_args.resume:
command_args, session_file, output_dir = get_stored_command(
args,
command_args.debug,
command_log=COMMAND_LOG,
dirs_log=DIRS_LOG,
sessions_log=SESSIONS_LOG)
if command_args.output is None:
command_args.output = os.path.join(output_dir, default_output)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.output is None:
command_args.output = os.path.join(command_args.output_dir,
default_output)
if len(os.path.dirname(command_args.output).strip()) == 0:
command_args.output = os.path.join(command_args.output_dir,
command_args.output)
directory = u.check_dir(command_args.output)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
shutil.copy(DEFAULTS_FILE, os.path.join(directory, DEFAULTS_FILE))
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
api = a.get_api_instance(command_args, u.check_dir(session_file))
_ = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api, command.user_defaults)
execute_whizzml(command_args, api, session_file)
u.log_message("_" * 80 + "\n", log_file=session_file)
def fill_remote_context(command_args,
command,
session_file,
resume=False,
api=None):
"""Fills the part of the context that needs to be retrieved from the
remote server. Creates a connection to the API and manages the requests
that retrive the resource ids to be used. Transforms arguments from the
command-line-friendly format to the required structure.
"""
if api is None:
api = a.get_api_instance(command_args, u.check_dir(session_file))
a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api)
return command_args, api
def execute_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
default_output = 'whizzml_results'
# Parses command line arguments.
command_args = a.parse_and_check(command)
resume = command_args.resume
if command_args.resume:
command_args, session_file, output_dir = get_stored_command(
args, command_args.debug, command_log=COMMAND_LOG,
dirs_log=DIRS_LOG, sessions_log=SESSIONS_LOG)
if command_args.output is None:
command_args.output = os.path.join(output_dir,
default_output)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.output is None:
command_args.output = os.path.join(command_args.output_dir,
default_output)
if len(os.path.dirname(command_args.output).strip()) == 0:
command_args.output = os.path.join(command_args.output_dir,
command_args.output)
directory = u.check_dir(command_args.output)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
shutil.copy(DEFAULTS_FILE, os.path.join(directory, DEFAULTS_FILE))
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
api = a.get_api_instance(command_args, u.check_dir(session_file))
_ = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api,
command.user_defaults)
execute_whizzml(command_args, api, session_file)
u.log_message("_" * 80 + "\n", log_file=session_file)
def main(args=sys.argv[1:]):
"""Main process
"""
(flags, train_stdin, test_stdin) = a.get_flags(args)
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
for log_file in LOG_FILES:
try:
open(log_file, 'w', 0).close()
except IOError:
pass
message = a.get_command_message(args)
# Resume calls are not logged
if not "--resume" in args:
with open(COMMAND_LOG, "a", 0) as command_log:
command_log.write(message)
resume = False
user_defaults = get_user_defaults()
parser = create_parser(defaults=get_user_defaults(),
constants={'NOW': a.NOW,
'MAX_MODELS': MAX_MODELS,
'PLURALITY': PLURALITY})
# Parses command line arguments.
command_args = a.parse_and_check(parser, args, train_stdin, test_stdin)
default_output = ('evaluation' if command_args.evaluate
else 'predictions.csv')
if command_args.resume:
# Restore the args of the call to resume from the command log file
debug = command_args.debug
command = u.get_log_reversed(COMMAND_LOG,
command_args.stack_level)
args = shlex.split(command)[1:]
try:
position = args.index("--train")
train_stdin = (position == (len(args) - 1) or
args[position + 1].startswith("--"))
except ValueError:
pass
try:
position = args.index("--test")
test_stdin = (position == (len(args) - 1) or
args[position + 1].startswith("--"))
except ValueError:
pass
output_dir = u.get_log_reversed(DIRS_LOG,
command_args.stack_level)
defaults_file = "%s%s%s" % (output_dir, os.sep, DEFAULTS_FILE)
user_defaults = get_user_defaults(defaults_file)
parser = create_parser(defaults=user_defaults,
constants={'NOW': a.NOW,
'MAX_MODELS': MAX_MODELS,
'PLURALITY': PLURALITY})
# Parses resumed arguments.
command_args = a.parse_and_check(parser, args, train_stdin, test_stdin)
if command_args.predictions is None:
command_args.predictions = ("%s%s%s" %
(output_dir, os.sep,
default_output))
# Logs the issued command and the resumed command
session_file = "%s%s%s" % (output_dir, os.sep, SESSIONS_LOG)
u.log_message(message, log_file=session_file)
message = "\nResuming command:\n%s\n\n" % command
u.log_message(message, log_file=session_file, console=True)
try:
defaults_handler = open(defaults_file, 'r')
contents = defaults_handler.read()
message = "\nUsing the following defaults:\n%s\n\n" % contents
u.log_message(message, log_file=session_file, console=True)
defaults_handler.close()
except IOError:
pass
resume = True
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = ("%s%s%s" %
(command_args.output_dir, os.sep,
default_output))
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = ("%s%s%s" %
(command_args.output_dir, os.sep,
command_args.predictions))
directory = u.check_dir(command_args.predictions)
session_file = "%s%s%s" % (directory, os.sep, SESSIONS_LOG)
u.log_message(message + "\n", log_file=session_file)
try:
defaults_file = open(DEFAULTS_FILE, 'r')
contents = defaults_file.read()
defaults_file.close()
defaults_copy = open("%s%s%s" % (directory, os.sep, DEFAULTS_FILE),
'w', 0)
defaults_copy.write(contents)
defaults_copy.close()
except IOError:
pass
with open(DIRS_LOG, "a", 0) as directory_log:
directory_log.write("%s\n" % os.path.abspath(directory))
# Creates the corresponding api instance
if resume and debug:
command_args.debug = True
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform: delete or create resources
if command_args.delete:
delete_resources(command_args, api)
elif (command_args.training_set or has_test(command_args)
or command_args.source or command_args.dataset
or command_args.datasets or command_args.votes_dirs):
output_args = a.get_output_args(api, train_stdin, test_stdin,
command_args, resume)
a.transform_args(command_args, flags, api, user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def main(args=sys.argv[1:]):
"""Main process
"""
(flags, train_stdin, test_stdin) = a.get_flags(args)
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
for log_file in LOG_FILES:
try:
open(log_file, 'w', 0).close()
except IOError:
pass
message = a.get_command_message(args)
# Resume calls are not logged
if not "--resume" in args:
with open(COMMAND_LOG, "a", 0) as command_log:
command_log.write(message)
resume = False
user_defaults = get_user_defaults()
parser = create_parser(defaults=get_user_defaults(),
constants={
'NOW': a.NOW,
'MAX_MODELS': MAX_MODELS,
'PLURALITY': PLURALITY
})
# Parses command line arguments.
command_args = a.parse_and_check(parser, args, train_stdin, test_stdin)
default_output = ('evaluation'
if command_args.evaluate else 'predictions.csv')
if command_args.resume:
# Restore the args of the call to resume from the command log file
debug = command_args.debug
command = u.get_log_reversed(COMMAND_LOG, command_args.stack_level)
args = shlex.split(command)[1:]
try:
position = args.index("--train")
train_stdin = (position == (len(args) - 1)
or args[position + 1].startswith("--"))
except ValueError:
pass
try:
position = args.index("--test")
test_stdin = (position == (len(args) - 1)
or args[position + 1].startswith("--"))
except ValueError:
pass
output_dir = u.get_log_reversed(DIRS_LOG, command_args.stack_level)
defaults_file = "%s%s%s" % (output_dir, os.sep, DEFAULTS_FILE)
user_defaults = get_user_defaults(defaults_file)
parser = create_parser(defaults=user_defaults,
constants={
'NOW': a.NOW,
'MAX_MODELS': MAX_MODELS,
'PLURALITY': PLURALITY
})
# Parses resumed arguments.
command_args = a.parse_and_check(parser, args, train_stdin, test_stdin)
if command_args.predictions is None:
command_args.predictions = ("%s%s%s" %
(output_dir, os.sep, default_output))
# Logs the issued command and the resumed command
session_file = "%s%s%s" % (output_dir, os.sep, SESSIONS_LOG)
u.log_message(message, log_file=session_file)
message = "\nResuming command:\n%s\n\n" % command
u.log_message(message, log_file=session_file, console=True)
try:
defaults_handler = open(defaults_file, 'r')
contents = defaults_handler.read()
message = "\nUsing the following defaults:\n%s\n\n" % contents
u.log_message(message, log_file=session_file, console=True)
defaults_handler.close()
except IOError:
pass
resume = True
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = (
"%s%s%s" % (command_args.output_dir, os.sep, default_output))
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = (
"%s%s%s" %
(command_args.output_dir, os.sep, command_args.predictions))
directory = u.check_dir(command_args.predictions)
session_file = "%s%s%s" % (directory, os.sep, SESSIONS_LOG)
u.log_message(message + "\n", log_file=session_file)
try:
defaults_file = open(DEFAULTS_FILE, 'r')
contents = defaults_file.read()
defaults_file.close()
defaults_copy = open("%s%s%s" % (directory, os.sep, DEFAULTS_FILE),
'w', 0)
defaults_copy.write(contents)
defaults_copy.close()
except IOError:
pass
with open(DIRS_LOG, "a", 0) as directory_log:
directory_log.write("%s\n" % os.path.abspath(directory))
# Creates the corresponding api instance
if resume and debug:
command_args.debug = True
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform: delete or create resources
if command_args.delete:
delete_resources(command_args, api)
elif (command_args.training_set or has_test(command_args)
or command_args.source or command_args.dataset
or command_args.datasets or command_args.votes_dirs):
output_args = a.get_output_args(api, train_stdin, test_stdin,
command_args, resume)
a.transform_args(command_args, flags, api, user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
def anomaly_dispatcher(args=sys.argv[1:]):
"""Parses command line and calls the different processing functions
"""
# If --clear-logs the log files are cleared
if "--clear-logs" in args:
clear_log_files(LOG_FILES)
command = command_handling(args, COMMAND_LOG)
# Parses command line arguments.
command_args = a.parse_and_check(command)
resume = command_args.resume
if command_args.resume:
# Keep the debug option if set
debug = command_args.debug
# Restore the args of the call to resume from the command log file
stored_command = StoredCommand(args, COMMAND_LOG, DIRS_LOG)
command = Command(None, stored_command=stored_command)
# Logs the issued command and the resumed command
session_file = os.path.join(stored_command.output_dir, SESSIONS_LOG)
stored_command.log_command(session_file=session_file)
# Parses resumed arguments.
command_args = a.parse_and_check(command)
if command_args.predictions is None:
command_args.predictions = os.path.join(stored_command.output_dir,
DEFAULT_OUTPUT)
else:
if command_args.output_dir is None:
command_args.output_dir = a.NOW
if command_args.predictions is None:
command_args.predictions = os.path.join(command_args.output_dir,
DEFAULT_OUTPUT)
if len(os.path.dirname(command_args.predictions).strip()) == 0:
command_args.predictions = os.path.join(command_args.output_dir,
command_args.predictions)
directory = u.check_dir(command_args.predictions)
session_file = os.path.join(directory, SESSIONS_LOG)
u.log_message(command.command + "\n", log_file=session_file)
try:
defaults_file = open(DEFAULTS_FILE, 'r')
contents = defaults_file.read()
defaults_file.close()
defaults_copy = open(os.path.join(directory, DEFAULTS_FILE),
'w', 0)
defaults_copy.write(contents)
defaults_copy.close()
except IOError:
pass
u.sys_log_message(u"%s\n" % os.path.abspath(directory),
log_file=DIRS_LOG)
# Creates the corresponding api instance
if resume and debug:
command_args.debug = True
api = a.get_api_instance(command_args, u.check_dir(session_file))
# Selects the action to perform
if (has_train(command_args) or has_test(command_args)):
output_args = a.get_output_args(api, command_args, resume)
a.transform_args(command_args, command.flags, api,
command.user_defaults)
compute_output(**output_args)
u.log_message("_" * 80 + "\n", log_file=session_file)
