1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
|
:mod:`types` --- Names for built-in types
=========================================
.. module:: types
:synopsis: Names for built-in types.
This module defines names for some object types that are used by the standard
Python interpreter, but not for the types defined by various extension modules.
Also, it does not include some of the types that arise during processing such as
the ``listiterator`` type. It is safe to use ``from types import *`` --- the
module does not export any names besides the ones listed here. New names
exported by future versions of this module will all end in ``Type``.
Typical use is for functions that do different things depending on their
argument types, like the following::
from types import *
def delete(mylist, item):
if type(item) is IntType:
del mylist[item]
else:
mylist.remove(item)
Starting in Python 2.2, built-in factory functions such as :func:`int` and
:func:`str` are also names for the corresponding types. This is now the
preferred way to access the type instead of using the :mod:`types` module.
Accordingly, the example above should be written as follows::
def delete(mylist, item):
if isinstance(item, int):
del mylist[item]
else:
mylist.remove(item)
The module defines the following names:
.. data:: NoneType
The type of ``None``.
.. data:: TypeType
.. index:: builtin: type
The type of type objects (such as returned by :func:`type`); alias of the
built-in :class:`type`.
.. data:: BooleanType
The type of the :class:`bool` values ``True`` and ``False``; alias of the
built-in :class:`bool`.
.. versionadded:: 2.3
.. data:: IntType
The type of integers (e.g. ``1``); alias of the built-in :class:`int`.
.. data:: LongType
The type of long integers (e.g. ``1L``); alias of the built-in :class:`long`.
.. data:: FloatType
The type of floating point numbers (e.g. ``1.0``); alias of the built-in
:class:`float`.
.. data:: ComplexType
The type of complex numbers (e.g. ``1.0j``). This is not defined if Python was
built without complex number support.
.. data:: StringType
The type of character strings (e.g. ``'Spam'``); alias of the built-in
:class:`str`.
.. data:: UnicodeType
The type of Unicode character strings (e.g. ``u'Spam'``). This is not defined
if Python was built without Unicode support. It's an alias of the built-in
:class:`unicode`.
.. data:: TupleType
The type of tuples (e.g. ``(1, 2, 3, 'Spam')``); alias of the built-in
:class:`tuple`.
.. data:: ListType
The type of lists (e.g. ``[0, 1, 2, 3]``); alias of the built-in
:class:`list`.
.. data:: DictType
The type of dictionaries (e.g. ``{'Bacon': 1, 'Ham': 0}``); alias of the
built-in :class:`dict`.
.. data:: DictionaryType
An alternate name for ``DictType``.
.. data:: FunctionType
LambdaType
The type of user-defined functions and functions created by :keyword:`lambda`
expressions.
.. data:: GeneratorType
The type of :term:`generator`-iterator objects, produced by calling a
generator function.
.. versionadded:: 2.2
.. data:: CodeType
.. index:: builtin: compile
The type for code objects such as returned by :func:`compile`.
.. data:: ClassType
The type of user-defined old-style classes.
.. data:: InstanceType
The type of instances of user-defined classes.
.. data:: MethodType
The type of methods of user-defined class instances.
.. data:: UnboundMethodType
An alternate name for ``MethodType``.
.. data:: BuiltinFunctionType
BuiltinMethodType
The type of built-in functions like :func:`len` or :func:`sys.exit`, and
methods of built-in classes. (Here, the term "built-in" means "written in
C".)
.. data:: ModuleType
The type of modules.
.. data:: FileType
The type of open file objects such as ``sys.stdout``; alias of the built-in
:class:`file`.
.. data:: XRangeType
.. index:: builtin: xrange
The type of range objects returned by :func:`xrange`; alias of the built-in
:class:`xrange`.
.. data:: SliceType
.. index:: builtin: slice
The type of objects returned by :func:`slice`; alias of the built-in
:class:`slice`.
.. data:: EllipsisType
The type of ``Ellipsis``.
.. data:: TracebackType
The type of traceback objects such as found in ``sys.exc_traceback``.
.. data:: FrameType
The type of frame objects such as found in ``tb.tb_frame`` if ``tb`` is a
traceback object.
.. data:: BufferType
.. index:: builtin: buffer
The type of buffer objects created by the :func:`buffer` function.
.. data:: DictProxyType
The type of dict proxies, such as ``TypeType.__dict__``.
.. data:: NotImplementedType
The type of ``NotImplemented``
.. data:: GetSetDescriptorType
The type of objects defined in extension modules with ``PyGetSetDef``, such
as ``FrameType.f_locals`` or ``array.array.typecode``. This type is used as
descriptor for object attributes; it has the same purpose as the
:class:`property` type, but for classes defined in extension modules.
.. versionadded:: 2.5
.. data:: MemberDescriptorType
The type of objects defined in extension modules with ``PyMemberDef``, such
as ``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 :class:`property` type, but for classes defined in extension modules.
.. impl-detail::
In other implementations of Python, this type may be identical to
``GetSetDescriptorType``.
.. versionadded:: 2.5
.. data:: StringTypes
A sequence containing ``StringType`` and ``UnicodeType`` used to facilitate
easier checking for any string object. Using this is more portable than using a
sequence of the two string types constructed elsewhere since it only contains
``UnicodeType`` if it has been built in the running version of Python. For
example: ``isinstance(s, types.StringTypes)``.
.. versionadded:: 2.2
|