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#!/usr/bin/env python
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# encoding: utf-8
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"""
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A base class for objects that are configurable.
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Authors:
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* Brian Granger
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* Fernando Perez
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* Min RK
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"""
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#-----------------------------------------------------------------------------
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# Copyright (C) 2008-2011 The IPython Development Team
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#
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# Distributed under the terms of the BSD License. The full license is in
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# the file COPYING, distributed as part of this software.
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#-----------------------------------------------------------------------------
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#-----------------------------------------------------------------------------
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# Imports
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#-----------------------------------------------------------------------------
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import datetime
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from copy import deepcopy
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from loader import Config
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from IPython.utils.traitlets import HasTraits, Instance
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from IPython.utils.text import indent, wrap_paragraphs
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#-----------------------------------------------------------------------------
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# Helper classes for Configurables
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#-----------------------------------------------------------------------------
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class ConfigurableError(Exception):
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pass
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class MultipleInstanceError(ConfigurableError):
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pass
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#-----------------------------------------------------------------------------
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# Configurable implementation
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#-----------------------------------------------------------------------------
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class Configurable(HasTraits):
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config = Instance(Config,(),{})
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created = None
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def __init__(self, **kwargs):
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"""Create a configurable given a config config.
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Parameters
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----------
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config : Config
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If this is empty, default values are used. If config is a
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:class:`Config` instance, it will be used to configure the
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instance.
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Notes
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-----
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Subclasses of Configurable must call the :meth:`__init__` method of
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:class:`Configurable` *before* doing anything else and using
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:func:`super`::
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class MyConfigurable(Configurable):
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def __init__(self, config=None):
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super(MyConfigurable, self).__init__(config)
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# Then any other code you need to finish initialization.
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This ensures that instances will be configured properly.
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"""
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config = kwargs.pop('config', None)
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if config is not None:
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# We used to deepcopy, but for now we are trying to just save
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# by reference. This *could* have side effects as all components
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# will share config. In fact, I did find such a side effect in
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# _config_changed below. If a config attribute value was a mutable type
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# all instances of a component were getting the same copy, effectively
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# making that a class attribute.
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# self.config = deepcopy(config)
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self.config = config
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# This should go second so individual keyword arguments override
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# the values in config.
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super(Configurable, self).__init__(**kwargs)
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self.created = datetime.datetime.now()
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#-------------------------------------------------------------------------
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# Static trait notifiations
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#-------------------------------------------------------------------------
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def _config_changed(self, name, old, new):
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"""Update all the class traits having ``config=True`` as metadata.
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For any class trait with a ``config`` metadata attribute that is
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``True``, we update the trait with the value of the corresponding
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config entry.
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"""
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# Get all traits with a config metadata entry that is True
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traits = self.traits(config=True)
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# We auto-load config section for this class as well as any parent
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# classes that are Configurable subclasses. This starts with Configurable
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# and works down the mro loading the config for each section.
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section_names = [cls.__name__ for cls in \
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reversed(self.__class__.__mro__) if
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issubclass(cls, Configurable) and issubclass(self.__class__, cls)]
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for sname in section_names:
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# Don't do a blind getattr as that would cause the config to
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# dynamically create the section with name self.__class__.__name__.
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if new._has_section(sname):
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my_config = new[sname]
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for k, v in traits.iteritems():
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# Don't allow traitlets with config=True to start with
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# uppercase. Otherwise, they are confused with Config
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# subsections. But, developers shouldn't have uppercase
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# attributes anyways! (PEP 6)
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if k[0].upper()==k[0] and not k.startswith('_'):
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raise ConfigurableError('Configurable traitlets with '
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'config=True must start with a lowercase so they are '
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'not confused with Config subsections: %s.%s' % \
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(self.__class__.__name__, k))
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try:
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# Here we grab the value from the config
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# If k has the naming convention of a config
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# section, it will be auto created.
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config_value = my_config[k]
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except KeyError:
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pass
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else:
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# print "Setting %s.%s from %s.%s=%r" % \
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# (self.__class__.__name__,k,sname,k,config_value)
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# We have to do a deepcopy here if we don't deepcopy the entire
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# config object. If we don't, a mutable config_value will be
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# shared by all instances, effectively making it a class attribute.
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setattr(self, k, deepcopy(config_value))
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@classmethod
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def class_get_help(cls):
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"""Get the help string for this class in ReST format."""
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cls_traits = cls.class_traits(config=True)
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final_help = []
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final_help.append(u'%s options' % cls.__name__)
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final_help.append(len(final_help[0])*u'-')
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for k,v in cls.class_traits(config=True).iteritems():
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help = cls.class_get_trait_help(v)
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final_help.append(help)
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return '\n'.join(final_help)
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@classmethod
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def class_get_trait_help(cls, trait):
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"""Get the help string for a single trait."""
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lines = []
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header = "%s.%s : %s" % (cls.__name__, trait.name, trait.__class__.__name__)
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lines.append(header)
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try:
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dvr = repr(trait.get_default_value())
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except Exception:
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dvr = None # ignore defaults we can't construct
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if dvr is not None:
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if len(dvr) > 64:
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dvr = dvr[:61]+'...'
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lines.append(indent('Default: %s'%dvr, 4))
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if 'Enum' in trait.__class__.__name__:
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# include Enum choices
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lines.append(indent('Choices: %r'%(trait.values,)))
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help = trait.get_metadata('help')
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if help is not None:
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help = '\n'.join(wrap_paragraphs(help, 76))
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lines.append(indent(help, 4))
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return '\n'.join(lines)
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@classmethod
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def class_print_help(cls):
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"""Get the help string for a single trait and print it."""
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print cls.class_get_help()
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class SingletonConfigurable(Configurable):
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"""A configurable that only allows one instance.
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This class is for classes that should only have one instance of itself
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or *any* subclass. To create and retrieve such a class use the
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:meth:`SingletonConfigurable.instance` method.
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"""
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_instance = None
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@classmethod
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def _walk_mro(cls):
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"""Walk the cls.mro() for parent classes that are also singletons
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For use in instance()
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"""
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for subclass in cls.mro():
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if issubclass(cls, subclass) and \
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issubclass(subclass, SingletonConfigurable) and \
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subclass != SingletonConfigurable:
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yield subclass
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@classmethod
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def clear_instance(cls):
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"""unset _instance for this class and singleton parents.
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"""
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if not cls.initialized():
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return
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for subclass in cls._walk_mro():
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if isinstance(subclass._instance, cls):
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# only clear instances that are instances
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# of the calling class
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subclass._instance = None
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@classmethod
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def instance(cls, *args, **kwargs):
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"""Returns a global instance of this class.
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This method create a new instance if none have previously been created
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and returns a previously created instance is one already exists.
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The arguments and keyword arguments passed to this method are passed
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on to the :meth:`__init__` method of the class upon instantiation.
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Examples
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--------
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Create a singleton class using instance, and retrieve it::
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>>> from IPython.config.configurable import SingletonConfigurable
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>>> class Foo(SingletonConfigurable): pass
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>>> foo = Foo.instance()
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>>> foo == Foo.instance()
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True
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Create a subclass that is retrived using the base class instance::
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>>> class Bar(SingletonConfigurable): pass
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>>> class Bam(Bar): pass
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>>> bam = Bam.instance()
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>>> bam == Bar.instance()
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True
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"""
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# Create and save the instance
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if cls._instance is None:
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inst = cls(*args, **kwargs)
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# Now make sure that the instance will also be returned by
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# parent classes' _instance attribute.
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for subclass in cls._walk_mro():
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subclass._instance = inst
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if isinstance(cls._instance, cls):
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return cls._instance
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else:
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raise MultipleInstanceError(
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'Multiple incompatible subclass instances of '
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'%s are being created.' % cls.__name__
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)
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@classmethod
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def initialized(cls):
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"""Has an instance been created?"""
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return hasattr(cls, "_instance") and cls._instance is not None
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class LoggingConfigurable(Configurable):
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"""A parent class for Configurables that log.
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Subclasses have a log trait, and the default behavior
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is to get the logger from the currently running Application
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via Application.instance().log.
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"""
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log = Instance('logging.Logger')
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def _log_default(self):
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from IPython.config.application import Application
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return Application.instance().log
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