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Further tidying up of IPython.utils.wildcard.
Further tidying up of IPython.utils.wildcard.

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wildcard.py
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# -*- coding: utf-8 -*-
"""Support for wildcard pattern matching in object inspection.
Authors
-------
- Jörgen Stenarson <jorgen.stenarson@bostream.nu>
"""
#*****************************************************************************
# Copyright (C) 2005 Jörgen Stenarson <jorgen.stenarson@bostream.nu>
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#*****************************************************************************
import re
import types
from IPython.utils.dir2 import dir2
def create_typestr2type_dicts(dont_include_in_type2typestr=["lambda"]):
"""Return dictionaries mapping lower case typename (e.g. 'tuple) to type
objects from the types package, and vice versa."""
typenamelist = [tname for tname in dir(types) if tname.endswith("Type")]
typestr2type, type2typestr = {}, {}
for tname in typenamelist:
name = tname[:-4].lower() # Cut 'Type' off the end of the name
obj = getattr(types, tname)
typestr2type[name] = obj
if name not in dont_include_in_type2typestr:
type2typestr[obj] = name
return typestr2type, type2typestr
typestr2type, type2typestr = create_typestr2type_dicts()
def is_type(obj, typestr_or_type):
"""is_type(obj, typestr_or_type) verifies if obj is of a certain type. It
can take strings or actual python types for the second argument, i.e.
'tuple'<->TupleType. 'all' matches all types.
TODO: Should be extended for choosing more than one type."""
if typestr_or_type=="all":
return True
if type(typestr_or_type) == types.TypeType:
test_type = typestr_or_type
else:
test_type = typestr2type.get(typestr_or_type, False)
if test_type:
return isinstance(obj, test_type)
return False
def show_hidden(str,show_all=False):
"""Return true for strings starting with single _ if show_all is true."""
return show_all or str.startswith("__") or not str.startswith("_")
class NameSpace(dict):
"""NameSpace holds the dictionary for a namespace and implements filtering
on name and types"""
@classmethod
def from_object(cls, obj, *args, **kwargs):
"""Instantiate a namespace by constructing a dictionary of an object's
attributes. A class method, returns a new NameSpace instance."""
ns = cls()
for key in dir2(obj):
if isinstance(key, basestring):
# This seemingly unnecessary try/except is actually needed
# because there is code out there with metaclasses that
# create 'write only' attributes, where a getattr() call
# will fail even if the attribute appears listed in the
# object's dictionary. Properties can actually do the same
# thing. In particular, Traits use this pattern
try:
ns[key] = getattr(obj,key)
except AttributeError:
pass
return ns
def filter(self, name_pattern="*", type_pattern="all", ignore_case=True,
show_all=True):
"""Return a dictionary of the namespace filtered by regex pattern and
item type."""
pattern=name_pattern.replace("*",".*").replace("?",".")
if ignore_case:
reg=re.compile(pattern+"$",re.I)
else:
reg=re.compile(pattern+"$")
# Check each one matches regex; shouldn't be hidden; of correct type.
return dict((key,obj) for key,obj in self.iteritems() if reg.match(key)\
and show_hidden(key, show_all)\
and is_type(obj, type_pattern))
def list_namespace(namespace, type_pattern, filter, ignore_case=False, show_all=False):
"""Return dictionary of all objects in a namespace dictionary that match
type_pattern and filter."""
pattern_list=filter.split(".")
ns = NameSpace(namespace)
return _list_namespace(ns, type_pattern, pattern_list, ignore_case,show_all)
# This function is a more convenient wrapper around the recursive one below.
def _list_namespace(ns, type_pattern, pattern_list, ignore_case=False, show_all=False):
"""Return dictionary of objects in a namespace which match type_pattern
and filter (pattern_list).
This is a recursive function behind list_namespace, which is intended to be
the public interface. Unlike that function, this expects a NameSpace
instance as the first argument, and the name pattern split by '.'s."""
if len(pattern_list) == 1:
return ns.filter(name_pattern=pattern_list[0], type_pattern=type_pattern,
ignore_case=ignore_case, show_all=show_all)
else:
# This is where we can change if all objects should be searched or
# only modules. Just change the type_pattern to module to search only
# modules
filtered = ns.filter(name_pattern=pattern_list[0], type_pattern="all",
ignore_case=ignore_case, show_all=show_all)
results = {}
for name, obj in filtered.iteritems():
ns = _list_namespace(NameSpace.from_object(obj), type_pattern,
pattern_list[1:], ignore_case=ignore_case, show_all=show_all)
for inner_name,inner_obj in ns.iteritems():
results["%s.%s"%(name,inner_name)] = inner_obj
return results