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Raw output: local.c

    +001: # cython: auto_pickle=False,embedsignature=True,always_allow_keywords=False

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     002: """

     003: Greenlet-local objects.

     004:

     005: This module is based on `_threading_local.py`__ from the standard

     006: library of Python 3.4.

     007:

     008: __ https://github.com/python/cpython/blob/3.4/Lib/_threading_local.py

     009:

     010: Greenlet-local objects support the management of greenlet-local data.

     011: If you have data that you want to be local to a greenlet, simply create

     012: a greenlet-local object and use its attributes:

     013:

     014:   >>> import gevent

     015:   >>> from gevent.local import local

     016:   >>> mydata = local()

     017:   >>> mydata.number = 42

     018:   >>> mydata.number

     019:   42

     020:

     021: You can also access the local-object's dictionary:

     022:

     023:   >>> mydata.__dict__

     024:   {'number': 42}

     025:   >>> mydata.__dict__.setdefault('widgets', [])

     026:   []

     027:   >>> mydata.widgets

     028:   []

     029:

     030: What's important about greenlet-local objects is that their data are

     031: local to a greenlet. If we access the data in a different greenlet:

     032:

     033:   >>> log = []

     034:   >>> def f():

     035:   ...     items = list(mydata.__dict__.items())

     036:   ...     items.sort()

     037:   ...     log.append(items)

     038:   ...     mydata.number = 11

     039:   ...     log.append(mydata.number)

     040:   >>> greenlet = gevent.spawn(f)

     041:   >>> greenlet.join()

     042:   >>> log

     043:   [[], 11]

     044:

     045: we get different data.  Furthermore, changes made in the other greenlet

     046: don't affect data seen in this greenlet:

     047:

     048:   >>> mydata.number

     049:   42

     050:

     051: Of course, values you get from a local object, including a __dict__

     052: attribute, are for whatever greenlet was current at the time the

     053: attribute was read.  For that reason, you generally don't want to save

     054: these values across greenlets, as they apply only to the greenlet they

     055: came from.

     056:

     057: You can create custom local objects by subclassing the local class:

     058:

     059:   >>> class MyLocal(local):

     060:   ...     number = 2

     061:   ...     initialized = False

     062:   ...     def __init__(self, **kw):

     063:   ...         if self.initialized:

     064:   ...             raise SystemError('__init__ called too many times')

     065:   ...         self.initialized = True

     066:   ...         self.__dict__.update(kw)

     067:   ...     def squared(self):

     068:   ...         return self.number ** 2

     069:

     070: This can be useful to support default values, methods and

     071: initialization.  Note that if you define an __init__ method, it will be

     072: called each time the local object is used in a separate greenlet.  This

     073: is necessary to initialize each greenlet's dictionary.

     074:

     075: Now if we create a local object:

     076:

     077:   >>> mydata = MyLocal(color='red')

     078:

     079: Now we have a default number:

     080:

     081:   >>> mydata.number

     082:   2

     083:

     084: an initial color:

     085:

     086:   >>> mydata.color

     087:   'red'

     088:   >>> del mydata.color

     089:

     090: And a method that operates on the data:

     091:

     092:   >>> mydata.squared()

     093:   4

     094:

     095: As before, we can access the data in a separate greenlet:

     096:

     097:   >>> log = []

     098:   >>> greenlet = gevent.spawn(f)

     099:   >>> greenlet.join()

     100:   >>> log

     101:   [[('color', 'red'), ('initialized', True)], 11]

     102:

     103: without affecting this greenlet's data:

     104:

     105:   >>> mydata.number

     106:   2

     107:   >>> mydata.color

     108:   Traceback (most recent call last):

     109:   ...

     110:   AttributeError: 'MyLocal' object has no attribute 'color'

     111:

     112: Note that subclasses can define slots, but they are not greenlet

     113: local. They are shared across greenlets::

     114:

     115:   >>> class MyLocal(local):

     116:   ...     __slots__ = 'number'

     117:

     118:   >>> mydata = MyLocal()

     119:   >>> mydata.number = 42

     120:   >>> mydata.color = 'red'

     121:

     122: So, the separate greenlet:

     123:

     124:   >>> greenlet = gevent.spawn(f)

     125:   >>> greenlet.join()

     126:

     127: affects what we see:

     128:

     129:   >>> mydata.number

     130:   11

     131:

     132: >>> del mydata

     133:

     134: .. versionchanged:: 1.1a2

     135:    Update the implementation to match Python 3.4 instead of Python 2.5.

     136:    This results in locals being eligible for garbage collection as soon

     137:    as their greenlet exits.

     138:

     139: .. versionchanged:: 1.2.3

     140:    Use a weak-reference to clear the greenlet link we establish in case

     141:    the local object dies before the greenlet does.

     142:

     143: .. versionchanged:: 1.3a1

     144:    Implement the methods for attribute access directly, handling

     145:    descriptors directly here. This allows removing the use of a lock

     146:    and facilitates greatly improved performance.

     147:

     148: .. versionchanged:: 1.3a1

     149:    The ``__init__`` method of subclasses of ``local`` is no longer

     150:    called with a lock held. CPython does not use such a lock in its

     151:    native implementation. This could potentially show as a difference

     152:    if code that uses multiple dependent attributes in ``__slots__``

     153:    (which are shared across all greenlets) switches during ``__init__``.

     154:

     155: """

     156: from __future__ import print_function

     157:

    +158: from copy import copy

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     160:

     161:

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     166:     "local",

     167: ]

     168:

     169: # The key used in the Thread objects' attribute dicts.

     170: # We keep it a string for speed but make it unlikely to clash with

     171: # a "real" attribute.

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     174: # The overall structure is as follows:

     175: # For each local() object:

     176: # greenlet.__dict__[key_prefix + str(id(local))]

     177: #    => _localimpl.dicts[id(greenlet)] => (ref(greenlet), {})

     178:

     179: # That final tuple is actually a localimpl_dict_entry object.

     180:

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     189:

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