本文整理匯總了Python中configargparse.ArgParser.parse_known_args方法的典型用法代碼示例。如果您正苦於以下問題:Python ArgParser.parse_known_args方法的具體用法?Python ArgParser.parse_known_args怎麽用?Python ArgParser.parse_known_args使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類configargparse.ArgParser
的用法示例。
在下文中一共展示了ArgParser.parse_known_args方法的4個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: go_2
# 需要導入模塊: from configargparse import ArgParser [as 別名]
# 或者: from configargparse.ArgParser import parse_known_args [as 別名]
def go_2(p, current_prefix, current_ns):
if isinstance(p, BaseParser):
new_p = ArgParser(default_config_files=config_files)
for a in p.argparser._actions:
new_a = copy.copy(a)
ss = copy.deepcopy(new_a.option_strings)
for ix, s in enumerate(new_a.option_strings):
if s.startswith("--"):
ss[ix] = "-" + current_prefix + "-" + s[2:]
else:
raise NotImplementedError
new_a.option_strings = ss
new_p._add_action(new_a)
_used_args, _rest = new_p.parse_known_args(args, namespace=current_ns)
# add a "_flags" field to each object so we know what flags caused a certain option to be set:
# (however, note that post-parsing we may munge around ...)
flags_dict = defaultdict(set)
for action in new_p._actions:
for opt in action.option_strings:
flags_dict[action.dest].add(opt)
current_ns.flags_ = Namespace(**flags_dict)
# TODO: could continue parsing from `_rest` instead of original `args`
elif isinstance(p, CompoundParser):
current_ns.flags_ = set() # could also check for the CompoundParser case and not set flags there,
# since there will never be any
for q in p.parsers:
ns = Namespace()
if q.namespace in current_ns.__dict__:
raise ValueError("Namespace field '%s' already in use" % q.namespace)
# TODO could also allow, say, a None
else:
# gross but how to write n-ary identity fn that behaves sensibly on single arg??
current_ns.__dict__[q.namespace] = ns
# FIXME this casting doesn't work for configurations with positional arguments,
# which aren't unpacked correctly -- better to use a namedtuple
# (making all arguments keyword-only also works, but then you have to supply
# often meaningless defaults in the __init__)
go_2(q.parser, current_prefix=current_prefix + (('-' + q.prefix) if q.prefix is not None else ''),
current_ns=ns)
# If a cast function is provided, apply it to the namespace, possibly doing dynamic type checking
# and also allowing the checker to provide hinting for the types of the fields
flags = ns.flags_
del ns.flags_
fixed = (q.cast(current_ns.__dict__[q.namespace]) #(q.cast(**vars(current_ns.__dict__[q.namespace]))
if q.cast else current_ns.__dict__[q.namespace])
if isinstance(fixed, tuple):
fixed = fixed.replace(flags_=flags)
elif isinstance(fixed, Namespace):
setattr(fixed, "flags_", flags)
else:
raise ValueError("currently only Namespace and NamedTuple objects are supported return types from "
"parsing; got %s (a %s)" % (fixed, type(fixed)))
current_ns.__dict__[q.namespace] = fixed
# TODO current_ns or current_namespace or ns or namespace?
else:
raise TypeError("parser %s wasn't a %s (%s or %s) but a %s" %
(p, Parser, BaseParser, CompoundParser, p.__class__))
示例2: main
# 需要導入模塊: from configargparse import ArgParser [as 別名]
# 或者: from configargparse.ArgParser import parse_known_args [as 別名]
def main():
# command line option handling
# use an environment variable to look for a default config file
# Alternately, we could use a default location for the file
# (say `files = ['/etc/pydpiper.cfg', '~/pydpiper.cfg', './pydpiper.cfg']`)
# TODO this logic is duplicated in application.py
#if "PYDPIPER_CONFIG_FILE" in os.environ:
default_config_file = os.getenv("PYDPIPER_CONFIG_FILE")
if default_config_file is not None:
try:
with open(PYDPIPER_CONFIG_FILE):
pass
except:
warnings.warn(f"PYDPIPER_CONFIG_FILE is set to '{default_config_file}', which can't be opened.")
if default_config_file is not None:
files = [default_config_file]
else:
files = []
from pydpiper.core.arguments import _mk_execution_parser
parser = ArgParser(default_config_files=files)
_mk_execution_parser(parser)
# using parse_known_args instead of parse_args is a hack since we
# currently send ALL arguments from the main program to the executor.
# Alternately, we could keep a copy of the executor parser around
# when constructing the executor shell command
options, _ = parser.parse_known_args()
ensure_exec_specified(options.num_exec)
def local_launch(options):
pe = pipelineExecutor(options=options, uri_file=options.urifile, pipeline_name="anon-executor") # didn't parse application options so don't have a --pipeline-name
# FIXME - I doubt missing the other options even works, otherwise we could change the executor interface!!
# executors don't use any shared-memory constructs, so OK to copy
ps = [Process(target=launchExecutor, args=(pe,))
for _ in range(options.num_exec)]
for p in ps:
p.start()
for p in ps:
p.join()
if options.local:
local_launch(options)
elif options.submit_server:
roq = q.runOnQueueingSystem(options, sysArgs=sys.argv)
for i in range(options.num_exec):
roq.createAndSubmitExecutorJobFile(i, after=None,
time=q.timestr_to_secs(options.time))
elif options.queue_type is not None:
for i in range(options.num_exec):
pe = pipelineExecutor(options=options, uri_file=options.urifile, pipeline_name="anon-executor")
pe.submitToQueue(1) # TODO is there a reason why we have logic for submitting `i` executors again here?
else:
local_launch(options)
示例3: go_2
# 需要導入模塊: from configargparse import ArgParser [as 別名]
# 或者: from configargparse.ArgParser import parse_known_args [as 別名]
def go_2(p, current_prefix, current_ns):
if isinstance(p, BaseParser):
new_p = ArgParser(default_config_files=config_files)
for a in p.argparser._actions:
new_a = copy.copy(a)
ss = copy.deepcopy(new_a.option_strings)
for ix, s in enumerate(new_a.option_strings):
if s.startswith("--"):
ss[ix] = "-" + current_prefix + "-" + s[2:]
else:
raise NotImplementedError
new_a.option_strings = ss
new_p._add_action(new_a)
_used_args, _rest = new_p.parse_known_args(args, namespace=current_ns)
# TODO: could continue parsing from `_rest` instead of original `args`
elif isinstance(p, CompoundParser):
for q in p.parsers:
ns = Namespace()
if q.namespace in current_ns.__dict__:
raise ValueError("Namespace field '%s' already in use" % q.namespace)
# TODO could also allow, say, a None
else:
# gross but how to write n-ary identity fn that behaves sensibly on single arg??
current_ns.__dict__[q.namespace] = ns
# FIXME this casting doesn't work for configurations with positional arguments,
# which aren't unpacked correctly -- better to use a namedtuple
# (making all arguments keyword-only also works, but then you have to supply
# often meaningless defaults in the __init__)
go_2(q.parser, current_prefix=current_prefix + (('-' + q.prefix) if q.prefix is not None else ''),
current_ns=ns)
# If a cast function is provided, apply it to the namespace, possibly doing dynamic type checking
# and also allowing the checker to provide hinting for the types of the fields
current_ns.__dict__[q.namespace] = (q.cast(current_ns.__dict__[q.namespace]) #(q.cast(**vars(current_ns.__dict__[q.namespace]))
if q.cast else current_ns.__dict__[q.namespace])
# TODO current_ns or current_namespace or ns or namespace?
else:
raise TypeError("parser %s wasn't a %s (%s or %s) but a %s" %
(p, Parser, BaseParser, CompoundParser, p.__class__))
示例4: ArgParser
# 需要導入模塊: from configargparse import ArgParser [as 別名]
# 或者: from configargparse.ArgParser import parse_known_args [as 別名]
if default_config_file is not None:
files = [default_config_file]
else:
files = []
parser = ArgParser(default_config_files=files)
rf.addGenRegArgumentGroup(parser) # just to get --pipeline-name
addExecutorArgumentGroup(parser)
# using parse_known_args instead of parse_args is a hack since we
# currently send ALL arguments from the main program to the executor
# on PBS queues (FIXME not yet true on SGE queues, but this is
# not the best solution anyway).
# Alternately, we could keep a copy of the executor parser around
# when constructing the executor shell command
options = parser.parse_known_args()[0]
#Check to make sure some executors have been specified.
noExecSpecified(options.num_exec)
def local_launch(options):
pe = pipelineExecutor(options)
# executors don't use any shared-memory constructs, so OK to copy
ps = [Process(target=launchExecutor, args=(pe,))
for _ in range(options.num_exec)]
for p in ps:
p.start()
for p in ps:
p.join()
if options.local: