Expand examples for ChainMap(). Improve markup.

This commit is contained in:
Raymond Hettinger 2012-06-10 11:39:44 -07:00
parent 9253862f45
commit bfcb42936b

View file

@ -93,42 +93,8 @@ The class can be used to simulate nested scopes and is useful in templating.
The use-cases also parallel those for the builtin :func:`super` function.
A reference to ``d.parents`` is equivalent to: ``ChainMap(*d.maps[1:])``.
Example of simulating Python's internal lookup chain::
import builtins
pylookup = ChainMap(locals(), globals(), vars(builtins))
Example of letting user specified values take precedence over environment
variables which in turn take precedence over default values::
import os, argparse
defaults = {'color': 'red', 'user': guest}
parser = argparse.ArgumentParser()
parser.add_argument('-u', '--user')
parser.add_argument('-c', '--color')
user_specified = vars(parser.parse_args())
combined = ChainMap(user_specified, os.environ, defaults)
Example patterns for using the :class:`ChainMap` class to simulate nested
contexts::
c = ChainMap() # Create root context
d = c.new_child() # Create nested child context
e = c.new_child() # Child of c, independent from d
e.maps[0] # Current context dictionary -- like Python's locals()
e.maps[-1] # Root context -- like Python's globals()
e.parents # Enclosing context chain -- like Python's nonlocals
d['x'] # Get first key in the chain of contexts
d['x'] = 1 # Set value in current context
del['x'] # Delete from current context
list(d) # All nested values
k in d # Check all nested values
len(d) # Number of nested values
d.items() # All nested items
dict(d) # Flatten into a regular dictionary
.. seealso::
.. seealso::
* The `MultiContext class
<http://svn.enthought.com/svn/enthought/CodeTools/trunk/enthought/contexts/multi_context.py>`_
@ -152,6 +118,76 @@ The class can be used to simulate nested scopes and is useful in templating.
<http://code.activestate.com/recipes/305268/>`_.
:class:`ChainMap` Examples and Recipes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This section shows various approaches to working with chained maps.
Example of simulating Python's internal lookup chain::
import builtins
pylookup = ChainMap(locals(), globals(), vars(builtins))
Example of letting user specified values take precedence over environment
variables which in turn take precedence over default values::
import os, argparse
defaults = {'color': 'red', 'user': guest}
parser = argparse.ArgumentParser()
parser.add_argument('-u', '--user')
parser.add_argument('-c', '--color')
user_specified = vars(parser.parse_args())
combined = ChainMap(user_specified, os.environ, defaults)
Example patterns for using the :class:`ChainMap` class to simulate nested
contexts::
c = ChainMap() # Create root context
d = c.new_child() # Create nested child context
e = c.new_child() # Child of c, independent from d
e.maps[0] # Current context dictionary -- like Python's locals()
e.maps[-1] # Root context -- like Python's globals()
e.parents # Enclosing context chain -- like Python's nonlocals
d['x'] # Get first key in the chain of contexts
d['x'] = 1 # Set value in current context
del['x'] # Delete from current context
list(d) # All nested values
k in d # Check all nested values
len(d) # Number of nested values
d.items() # All nested items
dict(d) # Flatten into a regular dictionary
The :class:`ChainMap` class only makes updates (writes and deletions) to the
first mapping in the chain while lookups will search the full chain. However,
if deep writes and deletions are desired, it is easy to make a subclass that
updates keys found deeper in the chain::
class DeepChainMap(ChainMap):
'Variant of ChainMap that allows direct updates to inner scopes'
def __setitem__(self, key, value):
for mapping in self.maps:
if key in mapping:
mapping[key] = value
return
self.maps[0][key] = value
def __delitem__(self, key):
for mapping in self.maps:
if key in mapping:
del mapping[key]
return
raise KeyError(key)
>>> d = DeepChainMap({'zebra': 'black'}, {'elephant' : 'blue'}, {'lion' : 'yellow'})
>>> d['lion'] = 'orange' # update an existing key two levels down
>>> d['snake'] = 'red' # new keys get added to the topmost dict
>>> del d['elephant'] # remove an existing key one level down
DeepChainMap({'zebra': 'black', 'snake': 'red'}, {}, {'lion': 'orange'})
:class:`Counter` objects
------------------------