本文整理汇总了Python中types.SimpleNamespace.type方法的典型用法代码示例。如果您正苦于以下问题:Python SimpleNamespace.type方法的具体用法?Python SimpleNamespace.type怎么用?Python SimpleNamespace.type使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类types.SimpleNamespace
的用法示例。
在下文中一共展示了SimpleNamespace.type方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: extract_data_doc
# 需要导入模块: from types import SimpleNamespace [as 别名]
# 或者: from types.SimpleNamespace import type [as 别名]
def extract_data_doc(state: State, parent, path: List[str], data):
assert not inspect.ismodule(data) and not inspect.isclass(data) and not inspect.isroutine(data) and not inspect.isframe(data) and not inspect.istraceback(data) and not inspect.iscode(data)
out = Empty()
out.name = path[-1]
# Welp. https://stackoverflow.com/questions/8820276/docstring-for-variable
out.summary = ''
out.has_details = False
if hasattr(parent, '__annotations__') and out.name in parent.__annotations__:
out.type = extract_annotation(state, parent.__annotations__[out.name])
else:
out.type = None
# The autogenerated <foo.bar at 0xbadbeef> is useless, so provide the value
# only if __repr__ is implemented for given type
if '__repr__' in type(data).__dict__:
out.value = html.escape(repr(data))
else:
out.value = None
# External data summary, if provided
path_str = '.'.join(path)
if path_str in state.data_docs:
# TODO: use also the contents
out.summary = render_inline_rst(state, state.data_docs[path_str]['summary'])
del state.data_docs[path_str]
return out
示例2: extract_property_doc
# 需要导入模块: from types import SimpleNamespace [as 别名]
# 或者: from types.SimpleNamespace import type [as 别名]
def extract_property_doc(state: State, path: List[str], property):
assert inspect.isdatadescriptor(property)
out = Empty()
out.name = path[-1]
# TODO: external summary for properties
out.summary = extract_summary(state, {}, [], property.__doc__)
out.is_settable = property.fset is not None
out.is_deletable = property.fdel is not None
out.has_details = False
try:
signature = inspect.signature(property.fget)
out.type = extract_annotation(state, signature.return_annotation)
except ValueError:
# pybind11 properties have the type in the docstring
if state.config['PYBIND11_COMPATIBILITY']:
out.type = parse_pybind_signature(state, property.fget.__doc__)[3]
else:
out.type = None
return out
示例3: extract_function_doc
# 需要导入模块: from types import SimpleNamespace [as 别名]
# 或者: from types.SimpleNamespace import type [as 别名]
def extract_function_doc(state: State, parent, path: List[str], function) -> List[Any]:
assert inspect.isfunction(function) or inspect.ismethod(function) or inspect.isroutine(function)
# Extract the signature from the docstring for pybind11, since it can't
# expose it to the metadata: https://github.com/pybind/pybind11/issues/990
# What's not solvable with metadata, however, are function overloads ---
# one function in Python may equal more than one function on the C++ side.
# To make the docs usable, list all overloads separately.
if state.config['PYBIND11_COMPATIBILITY'] and function.__doc__.startswith(path[-1]):
funcs = parse_pybind_docstring(state, path[-1], function.__doc__)
overloads = []
for name, summary, args, type in funcs:
out = Empty()
out.name = path[-1]
out.params = []
out.has_complex_params = False
out.has_details = False
# TODO: external summary for functions
out.summary = summary
# Don't show None return type for void functions
out.type = None if type == 'None' else type
# There's no other way to check staticmethods than to check for
# self being the name of first parameter :( No support for
# classmethods, as C++11 doesn't have that
out.is_classmethod = False
if inspect.isclass(parent) and args and args[0][0] == 'self':
out.is_staticmethod = False
else:
out.is_staticmethod = True
# Guesstimate whether the arguments are positional-only or
# position-or-keyword. It's either all or none. This is a brown
# magic, sorry.
# For instance methods positional-only argument names are either
# self (for the first argument) or arg(I-1) (for second
# argument and further). Also, the `self` argument is
# positional-or-keyword only if there are positional-or-keyword
# arguments afgter it, otherwise it's positional-only.
if inspect.isclass(parent) and not out.is_staticmethod:
assert args and args[0][0] == 'self'
positional_only = True
for i, arg in enumerate(args[1:]):
name, type, default = arg
if name != 'arg{}'.format(i):
positional_only = False
break
# For static methods or free functions positional-only arguments
# are argI.
else:
positional_only = True
for i, arg in enumerate(args):
name, type, default = arg
if name != 'arg{}'.format(i):
positional_only = False
break
for i, arg in enumerate(args):
name, type, default = arg
param = Empty()
param.name = name
# Don't include redundant type for the self argument
if name == 'self': param.type = None
else: param.type = type
param.default = html.escape(default or '')
if type or default: out.has_complex_params = True
# *args / **kwargs can still appear in the parsed signatures if
# the function accepts py::args / py::kwargs directly
if name == '*args':
param.name = 'args'
param.kind = 'VAR_POSITIONAL'
elif name == '**kwargs':
param.name = 'kwargs'
param.kind = 'VAR_KEYWORD'
else:
param.kind = 'POSITIONAL_ONLY' if positional_only else 'POSITIONAL_OR_KEYWORD'
out.params += [param]
overloads += [out]
return overloads
# Sane introspection path for non-pybind11 code
else:
out = Empty()
out.name = path[-1]
out.params = []
out.has_complex_params = False
out.has_details = False
# TODO: external summary for functions
out.summary = extract_summary(state, {}, [], function.__doc__)
# Decide if classmethod or staticmethod in case this is a method
if inspect.isclass(parent):
#.........这里部分代码省略.........
示例4: __mock_collector__
# 需要导入模块: from types import SimpleNamespace [as 别名]
# 或者: from types.SimpleNamespace import type [as 别名]
def __mock_collector__(self, type, status):
collector = SimpleNamespace()
collector.type = type
collector.collect = MagicMock(spec=(""), return_value = status)
return collector