linkchecker/linkcheck/containers.py
Bastian Kleineidam 57e3b05c88 limit cache sizes
2010-03-10 00:00:12 +01:00

328 lines
11 KiB
Python

# -*- coding: iso-8859-1 -*-
# Copyright (C) 2004-2010 Bastian Kleineidam
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
"""
Special container classes.
"""
class AttrDict (dict):
"""Dictionary allowing attribute access to its elements if they
are valid attribute names and not already existing methods."""
def __getattr__ (self, name):
return self[name]
class ListDict (dict):
"""A dictionary whose iterators reflect the order in which elements
were added.
"""
def __init__ (self):
"""Initialize sorted key list."""
super(ListDict, self).__init__()
# sorted list of keys
self._keys = []
def setdefault (self, key, *args):
if key not in self:
self._keys.append(key)
return super(ListDict, self).setdefault(key, *args)
def __setitem__ (self, key, value):
"""Add key,value to dict, append key to sorted list."""
if key not in self:
self._keys.append(key)
super(ListDict, self).__setitem__(key, value)
def __delitem__ (self, key):
"""Remove key from dict."""
self._keys.remove(key)
super(ListDict, self).__delitem__(key)
def pop (self, key):
if key in self._keys:
self._keys.remove(key)
super(ListDict, self).pop(key)
def popitem (self):
if self._keys:
k = self._keys[0]
v = self[k]
del self[k]
return (k, v)
raise KeyError("popitem() on empty dictionary")
def values (self):
"""Return sorted list of values."""
return [self[k] for k in self._keys]
def items (self):
"""Return sorted list of items."""
return [(k, self[k]) for k in self._keys]
def keys (self):
"""Return sorted list of keys."""
return self._keys[:]
def itervalues (self):
"""Return iterator over sorted values."""
for k in self._keys:
yield self[k]
def iteritems (self):
"""Return iterator over sorted items."""
for k in self._keys:
yield (k, self[k])
def iterkeys (self):
"""Return iterator over sorted keys."""
return iter(self._keys)
def clear (self):
"""Remove all dict entries."""
self._keys = []
super(ListDict, self).clear()
def get_true (self, key, default):
"""Return default element if key is not in the dict, or if self[key]
evaluates to False. Useful for example if value is None, but
default value should be an empty string.
"""
if key not in self or not self[key]:
return default
return self[key]
class CaselessDict (dict):
"""A dictionary ignoring the case of keys (which must be strings)."""
def __getitem__ (self, key):
assert isinstance(key, basestring)
return dict.__getitem__(self, key.lower())
def __delitem__ (self, key):
assert isinstance(key, basestring)
return dict.__delitem__(self, key.lower())
def __setitem__ (self, key, value):
assert isinstance(key, basestring)
dict.__setitem__(self, key.lower(), value)
def __contains__ (self, key):
assert isinstance(key, basestring)
return dict.__contains__(self, key.lower())
def get (self, key, def_val=None):
assert isinstance(key, basestring)
return dict.get(self, key.lower(), def_val)
def setdefault (self, key, *args):
assert isinstance(key, basestring)
return dict.setdefault(self, key.lower(), *args)
def update (self, other):
for k, v in other.items():
dict.__setitem__(self, k.lower(), v)
def fromkeys (cls, iterable, value=None):
d = cls()
for k in iterable:
dict.__setitem__(d, k.lower(), value)
return d
fromkeys = classmethod(fromkeys)
def pop (self, key, *args):
assert isinstance(key, basestring)
return dict.pop(self, key.lower(), *args)
class CaselessSortedDict (CaselessDict):
"""Caseless dictionary with sorted keys."""
def keys (self):
return sorted(super(CaselessSortedDict, self).keys())
def items (self):
return [(x, self[x]) for x in self.keys()]
def iteritems (self):
return ((x, self[x]) for x in self.keys())
class LFUCache (dict):
"""Limited cache which purges least frequently used items."""
def __init__ (self, size=1000):
super(LFUCache, self).__init__()
if size < 1:
raise ValueError("invalid cache size %d" % size)
self.size = size
def __setitem__ (self, key, val):
"""Store given key/value."""
if key in self:
# store value with existing number of uses
num_used = self[key][0]
super(LFUCache, self).__setitem__(key, [num_used, val])
else:
super(LFUCache, self).__setitem__(key, [0, val])
# check for size limit
if len(self) > self.size:
self.shrink()
def shrink (self):
"""Shrink ca. 5% of entries."""
trim = int(0.95*len(self))
if trim:
items = super(LFUCache, self).items()
values = sorted([(value, key) for key, value in items])
for value, key in values[0:trim]:
del self[key]
def __getitem__ (self, key):
value = super(LFUCache, self).__getitem__(key)
value[0] += 1
return value[1]
def uses (self, key):
"""Get number of uses for given key (without increasing the number of
uses)"""
return super(LFUCache, self).__getitem__(key)[0]
def get (self, key, def_val=None):
if key in self:
return self[key]
return def_val
def setdefault (self, key, def_val=None):
if key in self:
return self[key]
self[key] = def_val
return def_val
def items (self):
return [(key, value[1]) for key, value in super(LFUCache, self).items()]
def iteritems (self):
for key, value in super(LFUCache, self).iteritems():
yield (key, value[1])
def values (self):
return [value[1] for value in super(LFUCache, self).values()]
def itervalues (self):
for value in super(LFUCache, self).itervalues():
yield value[1]
def popitem (self):
key, value = super(LFUCache, self).popitem()
return (key, value[1])
def pop (self):
value = super(LFUCache, self).pop()
return value[1]
try:
from collections import namedtuple
except ImportError:
from keyword import iskeyword as _iskeyword
from operator import itemgetter as _itemgetter
import sys
def namedtuple(typename, field_names, verbose=False):
# Parse and validate the field names. Validation serves two purposes,
# generating informative error messages and preventing template injection attacks.
if isinstance(field_names, basestring):
field_names = field_names.replace(',', ' ').split() # names separated by whitespace and/or commas
field_names = tuple(field_names)
for name in (typename,) + field_names:
if not all(c.isalnum() or c=='_' for c in name):
raise ValueError('Type names and field names can only contain alphanumeric characters and underscores: %r' % name)
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a keyword: %r' % name)
if name[0].isdigit():
raise ValueError('Type names and field names cannot start with a number: %r' % name)
seen_names = set()
for name in field_names:
if name.startswith('_'):
raise ValueError('Field names cannot start with an underscore: %r' % name)
if name in seen_names:
raise ValueError('Encountered duplicate field name: %r' % name)
seen_names.add(name)
# Create and fill-in the class template
numfields = len(field_names)
argtxt = repr(field_names).replace("'", "")[1:-1] # tuple repr without parens or quotes
reprtxt = ', '.join('%s=%%r' % name for name in field_names)
dicttxt = ', '.join('%r: t[%d]' % (name, pos) for pos, name in enumerate(field_names))
template = '''class %(typename)s(tuple):
'%(typename)s(%(argtxt)s)' \n
__slots__ = () \n
_fields = %(field_names)r \n
def __new__(cls, %(argtxt)s):
return tuple.__new__(cls, (%(argtxt)s)) \n
@classmethod
def _make(cls, iterable, new=tuple.__new__, len=len):
'Make a new %(typename)s object from a sequence or iterable'
result = new(cls, iterable)
if len(result) != %(numfields)d:
raise TypeError('Expected %(numfields)d arguments, got %%d' %% len(result))
return result \n
def __repr__(self):
return '%(typename)s(%(reprtxt)s)' %% self \n
def _asdict(t):
'Return a new dict which maps field names to their values'
return {%(dicttxt)s} \n
def _replace(self, **kwds):
'Return a new %(typename)s object replacing specified fields with new values'
result = self._make(map(kwds.pop, %(field_names)r, self))
if kwds:
raise ValueError('Got unexpected field names: %%r' %% kwds.keys())
return result \n\n''' % locals()
for i, name in enumerate(field_names):
template += ' %s = property(itemgetter(%d))\n' % (name, i)
if verbose:
print template
# Execute the template string in a temporary namespace
namespace = dict(itemgetter=_itemgetter)
try:
exec template in namespace
except SyntaxError, e:
raise SyntaxError(e.message + ':\n' + template)
result = namespace[typename]
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in enviroments where
# sys._getframe is not defined (Jython for example).
if hasattr(sys, '_getframe'):
result.__module__ = sys._getframe(1).f_globals['__name__']
return result
def enum (*names):
"""Return an enum datatype instance from given list of keyword names.
The enum values are zero-based integers.
>>> Status = enum('open', 'pending', 'closed')
>>> Status.open
0
>>> Status.pending
1
>>> Status.closed
2
"""
return namedtuple('Enum', ' '.join(names))(*range(len(names)))