types
— 动态类型创建和内置类型名称
¶
源代码: Lib/types.py
This module defines utility function to assist in dynamic creation of new types.
It also defines names for some object types that are used by the standard Python interpreter, but not exposed as builtins like
int
or
str
are.
Finally, it provides some additional type-related utility classes and functions that are not fundamental enough to be builtins.
types.
new_class
(
name
,
bases=()
,
kwds=None
,
exec_body=None
)
¶
Creates a class object dynamically using the appropriate metaclass.
The first three arguments are the components that make up a class definition header: the class name, the base classes (in order), the keyword arguments (such as
metaclass
).
exec_body
argument is a callback that is used to populate the freshly created class namespace. It should accept the class namespace as its sole argument and update the namespace directly with the class contents. If no callback is provided, it has the same effect as passing in
lambda
ns:
ns
.
3.3 版新增。
types.
prepare_class
(
name
,
bases=()
,
kwds=None
)
¶
Calculates the appropriate metaclass and creates the class namespace.
The arguments are the components that make up a class definition header: the class name, the base classes (in order) and the keyword arguments (such as
metaclass
).
The return value is a 3-tuple:
metaclass,
namespace,
kwds
metaclass
is the appropriate metaclass,
namespace
is the prepared class namespace and
kwds
is an updated copy of the passed in
kwds
argument with any
'metaclass'
entry removed. If no
kwds
argument is passed in, this will be an empty dict.
3.3 版新增。
3.6 版改变:
The default value for the
namespace
element of the returned tuple has changed. Now an insertion-order-preserving mapping is used when the metaclass does not have a
__prepare__
method,
另请参阅
__prepare__
namespace hook
This module provides names for many of the types that are required to implement a Python interpreter. It deliberately avoids including some of the types that arise only incidentally during processing such as the
listiterator
类型。
Typical use of these names is for
isinstance()
or
issubclass()
checks.
Standard names are defined for the following types:
types.
FunctionType
¶
types.
LambdaType
¶
The type of user-defined functions and functions created by
lambda
expressions.
types.
AsyncGeneratorType
¶
The type of 异步生成器 -iterator objects, created by asynchronous generator functions.
3.6 版新增。
types.
MethodType
¶
The type of methods of user-defined class instances.
types.
BuiltinFunctionType
¶
types.
BuiltinMethodType
¶
The type of built-in functions like
len()
or
sys.exit()
, and methods of built-in classes. (Here, the term “built-in” means “written in C”.)
types.
ModuleType
(
name
,
doc=None
)
¶
The type of 模块 . Constructor takes the name of the module to be created and optionally its docstring .
注意
使用
importlib.util.module_from_spec()
to create a new module if you wish to set the various import-controlled attributes.
__loader__
¶
loader
which loaded the module. Defaults to
None
.
3.4 版改变:
默认为
None
. Previously the attribute was optional.
__name__
¶
The name of the module.
__package__
¶
Which
package
a module belongs to. If the module is top-level (i.e. not a part of any specific package) then the attribute should be set to
''
, else it should be set to the name of the package (which can be
__name__
if the module is a package itself). Defaults to
None
.
3.4 版改变:
默认为
None
. Previously the attribute was optional.
types.
TracebackType
¶
The type of traceback objects such as found in
sys.exc_info()[2]
.
types.
FrameType
¶
The type of frame objects such as found in
tb.tb_frame
if
tb
is a traceback object.
types.
GetSetDescriptorType
¶
The type of objects defined in extension modules with
PyGetSetDef
,譬如
FrameType.f_locals
or
array.array.typecode
. This type is used as descriptor for object attributes; it has the same purpose as the
property
type, but for classes defined in extension modules.
types.
MemberDescriptorType
¶
The type of objects defined in extension modules with
PyMemberDef
,譬如
datetime.timedelta.days
. This type is used as descriptor for simple C data members which use standard conversion functions; it has the same purpose as the
property
type, but for classes defined in extension modules.
CPython 实现细节:
In other implementations of Python, this type may be identical to
GetSetDescriptorType
.
types.
MappingProxyType
(
映射
)
¶
Read-only proxy of a mapping. It provides a dynamic view on the mapping’s entries, which means that when the mapping changes, the view reflects these changes.
3.3 版新增。
key in proxy
返回
True
if the underlying mapping has a key
key
,否则
False
.
proxy[key]
Return the item of the underlying mapping with key
key
。引发
KeyError
if
key
is not in the underlying mapping.
iter(proxy)
Return an iterator over the keys of the underlying mapping. This is a shortcut for
iter(proxy.keys())
.
len(proxy)
Return the number of items in the underlying mapping.
copy
(
)
¶
Return a shallow copy of the underlying mapping.
get
(
key
[
,
default
]
)
¶
返回值为
key
if
key
is in the underlying mapping, else
default
。若
default
不给定,它默认为
None
,因此此方法从不引发
KeyError
.
items
(
)
¶
Return a new view of the underlying mapping’s items (
(key,
value)
pairs).
keys
(
)
¶
Return a new view of the underlying mapping’s keys.
values
(
)
¶
Return a new view of the underlying mapping’s values.
types.
SimpleNamespace
¶
A simple
object
subclass that provides attribute access to its namespace, as well as a meaningful repr.
不像
object
,采用
SimpleNamespace
you can add and remove attributes. If a
SimpleNamespace
object is initialized with keyword arguments, those are directly added to the underlying namespace.
The type is roughly equivalent to the following code:
class SimpleNamespace:
def __init__(self, **kwargs):
self.__dict__.update(kwargs)
def __repr__(self):
keys = sorted(self.__dict__)
items = ("{}={!r}".format(k, self.__dict__[k]) for k in keys)
return "{}({})".format(type(self).__name__, ", ".join(items))
def __eq__(self, other):
return self.__dict__ == other.__dict__
SimpleNamespace
may be useful as a replacement for
class
NS:
pass
. However, for a structured record type use
namedtuple()
代替。
3.3 版新增。
types.
DynamicClassAttribute
(
fget=None
,
fset=None
,
fdel=None
,
doc=None
)
¶
Route attribute access on a class to __getattr__.
This is a descriptor, used to define attributes that act differently when accessed through an instance and through a class. Instance access remains normal, but access to an attribute through a class will be routed to the class’s __getattr__ method; this is done by raising AttributeError.
This allows one to have properties active on an instance, and have virtual attributes on the class with the same name (see Enum for an example).
3.4 版新增。
types.
协程
(
gen_func
)
¶
This function transforms a
generator
function into a
协程函数
which returns a generator-based coroutine. The generator-based coroutine is still a
生成器迭代器
, but is also considered to be a
协程
object and is
awaitable
. However, it may not necessarily implement the
__await__()
方法。
若 gen_func is a generator function, it will be modified in-place.
若
gen_func
is not a generator function, it will be wrapped. If it returns an instance of
collections.abc.Generator
, the instance will be wrapped in an
awaitable
proxy object. All other types of objects will be returned as is.
3.5 版新增。