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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:   >>> mydata = local()

     015:   >>> mydata.number = 42

     016:   >>> mydata.number

     017:   42

     018:

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

     020:

     021:   >>> mydata.__dict__

     022:   {'number': 42}

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

     024:   []

     025:   >>> mydata.widgets

     026:   []

     027:

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

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

     030:

     031:   >>> log = []

     032:   >>> def f():

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

     034:   ...     items.sort()

     035:   ...     log.append(items)

     036:   ...     mydata.number = 11

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

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

     039:   >>> greenlet.join()

     040:   >>> log

     041:   [[], 11]

     042:

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

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

     045:

     046:   >>> mydata.number

     047:   42

     048:

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

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

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

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

     053: came from.

     054:

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

     056:

     057:   >>> class MyLocal(local):

     058:   ...     number = 2

     059:   ...     initialized = False

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

     061:   ...         if self.initialized:

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

     063:   ...         self.initialized = True

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

     065:   ...     def squared(self):

     066:   ...         return self.number ** 2

     067:

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

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

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

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

     072:

     073: Now if we create a local object:

     074:

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

     076:

     077: Now we have a default number:

     078:

     079:   >>> mydata.number

     080:   2

     081:

     082: an initial color:

     083:

     084:   >>> mydata.color

     085:   'red'

     086:   >>> del mydata.color

     087:

     088: And a method that operates on the data:

     089:

     090:   >>> mydata.squared()

     091:   4

     092:

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

     094:

     095:   >>> log = []

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

     097:   >>> greenlet.join()

     098:   >>> log

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

     100:

     101: without affecting this greenlet's data:

     102:

     103:   >>> mydata.number

     104:   2

     105:   >>> mydata.color

     106:   Traceback (most recent call last):

     107:   ...

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

     109:

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

     111: local. They are shared across greenlets::

     112:

     113:   >>> class MyLocal(local):

     114:   ...     __slots__ = 'number'

     115:

     116:   >>> mydata = MyLocal()

     117:   >>> mydata.number = 42

     118:   >>> mydata.color = 'red'

     119:

     120: So, the separate greenlet:

     121:

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

     123:   >>> greenlet.join()

     124:

     125: affects what we see:

     126:

     127:   >>> mydata.number

     128:   11

     129:

     130: >>> del mydata

     131:

     132: .. versionchanged:: 1.1a2

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

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

     135:    as their greenlet exits.

     136:

     137: .. versionchanged:: 1.2.3

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

     139:    the local object dies before the greenlet does.

     140:

     141: .. versionchanged:: 1.3a1

     142:    Implement the methods for attribute access directly, handling

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

     144:    and facilitates greatly improved performance.

     145:

     146: .. versionchanged:: 1.3a1

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

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

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

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

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

     152:

     153: """

     154: from __future__ import print_function

     155:

    +156: from copy import copy

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     158:

     159:

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     165: ]

     166:

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

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

     169: # a "real" attribute.

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     172: # The overall structure is as follows:

     173: # For each local() object:

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

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

     176:

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

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     181:     Internal debug helper for getting the local values associated

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     187:

     188:     .. versionadded:: 1.3a2

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