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Python 3.8.0b4
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‎Include/patchlevel.h‎

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Original file line numberDiff line numberDiff line change
@@ -20,10 +20,10 @@
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#define PY_MINOR_VERSION 8
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#define PY_MICRO_VERSION 0
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#define PY_RELEASE_LEVEL PY_RELEASE_LEVEL_BETA
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#define PY_RELEASE_SERIAL 3
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#define PY_RELEASE_SERIAL 4
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/* Version as a string */
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#define PY_VERSION "3.8.0b3+"
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#define PY_VERSION "3.8.0b4"
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/*--end constants--*/
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/* Version as a single 4-byte hex number, e.g. 0x010502B2 == 1.5.2b2.

‎Lib/pydoc_data/topics.py‎

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# -*- coding: utf-8 -*-
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# Autogenerated by Sphinx on Mon Jul 29 15:22:27 2019
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# Autogenerated by Sphinx on Thu Aug 29 23:57:58 2019
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topics = {'assert': 'The "assert" statement\n'
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'**********************\n'
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'\n'
@@ -808,28 +808,47 @@
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'whose name is\n'
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'the key of the property in the owner class’ "__dict__".\n'
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'\n'
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'object.__get__(self, instance, owner)\n'
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'object.__get__(self, instance, owner=None)\n'
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'\n'
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' Called to get the attribute of the owner class (class '
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'attribute\n'
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' access) or of an instance of that class (instance '
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'attribute\n'
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' access). *owner* is always the owner class, while '
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'*instance* is the\n'
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' instance that the attribute was accessed through, or '
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'"None" when\n'
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' the attribute is accessed through the *owner*. This '
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'method should\n'
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' return the (computed) attribute value or raise an '
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'"AttributeError"\n'
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' exception.\n'
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' access). The optional *owner* argument is the owner '
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'class, while\n'
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' *instance* is the instance that the attribute was '
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'accessed through,\n'
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' or "None" when the attribute is accessed through the '
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'*owner*.\n'
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'\n'
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' This method should return the computed attribute '
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'value or raise an\n'
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' "AttributeError" exception.\n'
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'\n'
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' **PEP 252** specifies that "__get__()" is callable '
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'with one or two\n'
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' arguments. Python’s own built-in descriptors support '
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'this\n'
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' specification; however, it is likely that some '
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'third-party tools\n'
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' have descriptors that require both arguments. '
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'Python’s own\n'
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' "__getattribute__()" implementation always passes in '
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'both arguments\n'
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' whether they are required or not.\n'
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'\n'
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'object.__set__(self, instance, value)\n'
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'\n'
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' Called to set the attribute on an instance *instance* '
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'of the owner\n'
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' class to a new value, *value*.\n'
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'\n'
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' Note, adding "__set__()" or "__delete__()" changes '
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'the kind of\n'
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' descriptor to a “data descriptor”. See Invoking '
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'Descriptors for\n'
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' more details.\n'
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'\n'
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'object.__delete__(self, instance)\n'
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'\n'
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' Called to delete the attribute on an instance '
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'all false.\n'
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' This behavior is compliant with IEEE 754.\n'
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'\n'
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'* "None" and "NotImplemented" are singletons. **PEP 8** '
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'advises\n'
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' that comparisons for singletons should always be done with '
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'"is" or\n'
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' "is not", never the equality operators.\n'
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'\n'
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'* Binary sequences (instances of "bytes" or "bytearray") can '
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'be\n'
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' compared within and across their types. They compare\n'
@@ -1854,38 +1879,13 @@
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' these types raises "TypeError".\n'
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'\n'
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' Sequences compare lexicographically using comparison of\n'
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' corresponding elements, whereby reflexivity of the elements '
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'is\n'
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' enforced.\n'
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'\n'
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' In enforcing reflexivity of elements, the comparison of '
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'collections\n'
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' assumes that for a collection element "x", "x == x" is '
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'always true.\n'
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' Based on that assumption, element identity is compared '
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'first, and\n'
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' element comparison is performed only for distinct '
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'elements. This\n'
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' approach yields the same result as a strict element '
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'comparison\n'
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' would, if the compared elements are reflexive. For '
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'non-reflexive\n'
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' elements, the result is different than for strict element\n'
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' comparison, and may be surprising: The non-reflexive '
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'not-a-number\n'
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' values for example result in the following comparison '
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'behavior when\n'
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' used in a list:\n'
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'\n'
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" >>> nan = float('NaN')\n"
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' >>> nan is nan\n'
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' True\n'
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' >>> nan == nan\n'
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' False <-- the defined non-reflexive '
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'behavior of NaN\n'
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' >>> [nan] == [nan]\n'
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' True <-- list enforces reflexivity and '
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'tests identity first\n'
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' corresponding elements. The built-in containers typically '
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'assume\n'
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' identical objects are equal to themselves. That lets them '
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'bypass\n'
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' equality tests for identical objects to improve performance '
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'and to\n'
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' maintain their internal invariants.\n'
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'\n'
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' Lexicographical comparison between built-in collections '
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'works as\n'
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'returning\n'
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' it.\n'
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'\n'
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' If "__new__()" returns an instance of *cls*, then the '
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'new\n'
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' instance’s "__init__()" method will be invoked like\n'
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' "__init__(self[, ...])", where *self* is the new '
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'instance and the\n'
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' remaining arguments are the same as were passed to '
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'"__new__()".\n'
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' If "__new__()" is invoked during object construction and '
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'it returns\n'
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' an instance or subclass of *cls*, then the new '
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'instance’s\n'
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' "__init__()" method will be invoked like '
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'"__init__(self[, ...])",\n'
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' where *self* is the new instance and the remaining '
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'arguments are\n'
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' the same as were passed to the object constructor.\n'
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'\n'
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' If "__new__()" does not return an instance of *cls*, '
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'then the new\n'
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' hashable by an "isinstance(obj, '
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'collections.abc.Hashable)" call.\n'
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'\n'
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' Note: By default, the "__hash__()" values of str, bytes '
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'and\n'
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' datetime objects are “salted” with an unpredictable '
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'random value.\n'
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' Note: By default, the "__hash__()" values of str and '
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'bytes\n'
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' objects are “salted” with an unpredictable random '
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'value.\n'
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' Although they remain constant within an individual '
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'Python\n'
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' process, they are not predictable between repeated '
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'returning\n'
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' it.\n'
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'\n'
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' If "__new__()" returns an instance of *cls*, then the '
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'new\n'
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' instance’s "__init__()" method will be invoked like\n'
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' "__init__(self[, ...])", where *self* is the new instance '
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'and the\n'
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' remaining arguments are the same as were passed to '
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'"__new__()".\n'
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' If "__new__()" is invoked during object construction and '
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'it returns\n'
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' an instance or subclass of *cls*, then the new '
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'instance’s\n'
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' "__init__()" method will be invoked like "__init__(self[, '
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'...])",\n'
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' where *self* is the new instance and the remaining '
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'arguments are\n'
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' the same as were passed to the object constructor.\n'
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'\n'
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' If "__new__()" does not return an instance of *cls*, then '
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'the new\n'
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' hashable by an "isinstance(obj, '
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'collections.abc.Hashable)" call.\n'
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'\n'
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' Note: By default, the "__hash__()" values of str, bytes '
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'and\n'
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' datetime objects are “salted” with an unpredictable '
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'random value.\n'
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' Note: By default, the "__hash__()" values of str and '
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'bytes\n'
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' objects are “salted” with an unpredictable random '
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'value.\n'
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' Although they remain constant within an individual '
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'Python\n'
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' process, they are not predictable between repeated '
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'whose name is\n'
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'the key of the property in the owner class’ "__dict__".\n'
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'\n'
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'object.__get__(self, instance, owner)\n'
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'object.__get__(self, instance, owner=None)\n'
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'\n'
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' Called to get the attribute of the owner class (class '
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'attribute\n'
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' access) or of an instance of that class (instance '
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'attribute\n'
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' access). *owner* is always the owner class, while '
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'*instance* is the\n'
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' instance that the attribute was accessed through, or '
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'"None" when\n'
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' the attribute is accessed through the *owner*. This '
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'method should\n'
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' return the (computed) attribute value or raise an '
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'"AttributeError"\n'
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' exception.\n'
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' access). The optional *owner* argument is the owner '
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'class, while\n'
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' *instance* is the instance that the attribute was '
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'accessed through,\n'
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' or "None" when the attribute is accessed through the '
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'*owner*.\n'
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'\n'
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' This method should return the computed attribute value or '
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'raise an\n'
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' "AttributeError" exception.\n'
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'\n'
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' **PEP 252** specifies that "__get__()" is callable with '
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'one or two\n'
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' arguments. Python’s own built-in descriptors support '
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'this\n'
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' specification; however, it is likely that some '
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'third-party tools\n'
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' have descriptors that require both arguments. Python’s '
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'own\n'
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' "__getattribute__()" implementation always passes in both '
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'arguments\n'
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' whether they are required or not.\n'
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'\n'
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'object.__set__(self, instance, value)\n'
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'\n'
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' Called to set the attribute on an instance *instance* of '
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'the owner\n'
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' class to a new value, *value*.\n'
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'\n'
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' Note, adding "__set__()" or "__delete__()" changes the '
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'kind of\n'
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' descriptor to a “data descriptor”. See Invoking '
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'Descriptors for\n'
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' more details.\n'
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'\n'
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'object.__delete__(self, instance)\n'
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'\n'
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' Called to delete the attribute on an instance *instance* '
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'\n'
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' Return true if there are only whitespace characters in '
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'the string\n'
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' and there is at least one character, false otherwise. '
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'Whitespace\n'
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' characters are those characters defined in the Unicode '
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'character\n'
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' database as “Other” or “Separator” and those with '
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'bidirectional\n'
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' property being one of “WS”, “B”, or “S”.\n'
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' and there is at least one character, false otherwise.\n'
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'\n'
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' A character is *whitespace* if in the Unicode character '
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'database\n'
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' (see "unicodedata"), either its general category is '
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'"Zs"\n'
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' (“Separator, space”), or its bidirectional class is one '
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'of "WS",\n'
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' "B", or "S".\n'
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'\n'
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'str.istitle()\n'
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'\n'
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'\n'
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' Changed in version 3.6: Unrecognized escape sequences produce '
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'a\n'
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' "DeprecationWarning".\n'
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'\n'
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' Changed in version 3.8: Unrecognized escape sequences produce '
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' "DeprecationWarning". In a future Python version they will be '
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'a\n'
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' "SyntaxWarning". In some future version of Python they will '
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'be a\n'
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' "SyntaxError".\n'
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' "SyntaxWarning" and eventually a "SyntaxError".\n'
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'\n'
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'Even in a raw literal, quotes can be escaped with a backslash, '
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'but the\n'

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