##// END OF EJS Templates
normalize unicode notebook filenames...
normalize unicode notebook filenames used in comparison check for notebook name change. Unless the filenames are normalized, unchanged names may result in false positives for a name change (e.g. OS X uses NFD on the filesystem, so u'\xfc' roundtripped to the filesystem will be u'u\u0308'), which can result in the first save of a notebook after open performing the following actions: 1. save the recently opened notebook 2. `old_name != new_name`, so name change detected 3. delete old_name (which is actually new_name), which ultimately deletes the just-saved notebook In master, this has a symptom of the first checkpoint failing because the first save actually deleted the file, and you can't checkpoint a notebook that doesn't exist. closes #3360

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wildcard.py
111 lines | 4.5 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""Support for wildcard pattern matching in object inspection.
Authors
-------
- Jörgen Stenarson <jorgen.stenarson@bostream.nu>
- Thomas Kluyver
"""
#*****************************************************************************
# 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("_")
def dict_dir(obj):
"""Produce a dictionary of an object's attributes. Builds on dir2 by
checking that a getattr() call actually succeeds."""
ns = {}
for key in dir2(obj):
# 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_ns(ns, name_pattern="*", type_pattern="all", ignore_case=True,
show_all=True):
"""Filter a namespace dictionary by name 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 ns.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(".")
if len(pattern_list) == 1:
return filter_ns(namespace, 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 = filter_ns(namespace, 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(dict_dir(obj), type_pattern,
".".join(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