Packages update

This commit is contained in:
Ruud
2012-02-11 16:28:06 +01:00
parent 3bbf1126c3
commit 02e01fb2d6
217 changed files with 26395 additions and 21194 deletions
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# util/__init__.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
from compat import callable, cmp, reduce, defaultdict, py25_dict, \
threading, py3k_warning, jython, pypy, win32, set_types, buffer, pickle, \
update_wrapper, partial, md5_hex, decode_slice, dottedgetter,\
parse_qsl, any
from _collections import NamedTuple, ImmutableContainer, immutabledict, \
Properties, OrderedProperties, ImmutableProperties, OrderedDict, \
OrderedSet, IdentitySet, OrderedIdentitySet, column_set, \
column_dict, ordered_column_set, populate_column_dict, unique_list, \
UniqueAppender, PopulateDict, EMPTY_SET, to_list, to_set, \
to_column_set, update_copy, flatten_iterator, WeakIdentityMapping, \
LRUCache, ScopedRegistry, ThreadLocalRegistry
from langhelpers import iterate_attributes, class_hierarchy, \
portable_instancemethod, unbound_method_to_callable, \
getargspec_init, format_argspec_init, format_argspec_plus, \
get_func_kwargs, get_cls_kwargs, decorator, as_interface, \
memoized_property, memoized_instancemethod, \
reset_memoized, group_expirable_memoized_property, importlater, \
monkeypatch_proxied_specials, asbool, bool_or_str, coerce_kw_type,\
duck_type_collection, assert_arg_type, symbol, dictlike_iteritems,\
classproperty, set_creation_order, warn_exception, warn, NoneType,\
constructor_copy, methods_equivalent, chop_traceback, asint,\
generic_repr, counter
from deprecations import warn_deprecated, warn_pending_deprecation, \
deprecated, pending_deprecation
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# util/_collections.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Collection classes and helpers."""
import sys
import itertools
import weakref
import operator
from langhelpers import symbol
from compat import time_func, threading
EMPTY_SET = frozenset()
class NamedTuple(tuple):
"""tuple() subclass that adds labeled names.
Is also pickleable.
"""
def __new__(cls, vals, labels=None):
t = tuple.__new__(cls, vals)
if labels:
t.__dict__.update(zip(labels, vals))
t._labels = labels
return t
def keys(self):
return [l for l in self._labels if l is not None]
class ImmutableContainer(object):
def _immutable(self, *arg, **kw):
raise TypeError("%s object is immutable" % self.__class__.__name__)
__delitem__ = __setitem__ = __setattr__ = _immutable
class immutabledict(ImmutableContainer, dict):
clear = pop = popitem = setdefault = \
update = ImmutableContainer._immutable
def __new__(cls, *args):
new = dict.__new__(cls)
dict.__init__(new, *args)
return new
def __init__(self, *args):
pass
def __reduce__(self):
return immutabledict, (dict(self), )
def union(self, d):
if not self:
return immutabledict(d)
else:
d2 = immutabledict(self)
dict.update(d2, d)
return d2
def __repr__(self):
return "immutabledict(%s)" % dict.__repr__(self)
class Properties(object):
"""Provide a __getattr__/__setattr__ interface over a dict."""
def __init__(self, data):
self.__dict__['_data'] = data
def __len__(self):
return len(self._data)
def __iter__(self):
return self._data.itervalues()
def __add__(self, other):
return list(self) + list(other)
def __setitem__(self, key, object):
self._data[key] = object
def __getitem__(self, key):
return self._data[key]
def __delitem__(self, key):
del self._data[key]
def __setattr__(self, key, object):
self._data[key] = object
def __getstate__(self):
return {'_data': self.__dict__['_data']}
def __setstate__(self, state):
self.__dict__['_data'] = state['_data']
def __getattr__(self, key):
try:
return self._data[key]
except KeyError:
raise AttributeError(key)
def __contains__(self, key):
return key in self._data
def as_immutable(self):
"""Return an immutable proxy for this :class:`.Properties`."""
return ImmutableProperties(self._data)
def update(self, value):
self._data.update(value)
def get(self, key, default=None):
if key in self:
return self[key]
else:
return default
def keys(self):
return self._data.keys()
def has_key(self, key):
return key in self._data
def clear(self):
self._data.clear()
class OrderedProperties(Properties):
"""Provide a __getattr__/__setattr__ interface with an OrderedDict
as backing store."""
def __init__(self):
Properties.__init__(self, OrderedDict())
class ImmutableProperties(ImmutableContainer, Properties):
"""Provide immutable dict/object attribute to an underlying dictionary."""
class OrderedDict(dict):
"""A dict that returns keys/values/items in the order they were added."""
def __init__(self, ____sequence=None, **kwargs):
self._list = []
if ____sequence is None:
if kwargs:
self.update(**kwargs)
else:
self.update(____sequence, **kwargs)
def clear(self):
self._list = []
dict.clear(self)
def copy(self):
return self.__copy__()
def __copy__(self):
return OrderedDict(self)
def sort(self, *arg, **kw):
self._list.sort(*arg, **kw)
def update(self, ____sequence=None, **kwargs):
if ____sequence is not None:
if hasattr(____sequence, 'keys'):
for key in ____sequence.keys():
self.__setitem__(key, ____sequence[key])
else:
for key, value in ____sequence:
self[key] = value
if kwargs:
self.update(kwargs)
def setdefault(self, key, value):
if key not in self:
self.__setitem__(key, value)
return value
else:
return self.__getitem__(key)
def __iter__(self):
return iter(self._list)
def values(self):
return [self[key] for key in self._list]
def itervalues(self):
return iter([self[key] for key in self._list])
def keys(self):
return list(self._list)
def iterkeys(self):
return iter(self.keys())
def items(self):
return [(key, self[key]) for key in self.keys()]
def iteritems(self):
return iter(self.items())
def __setitem__(self, key, object):
if key not in self:
try:
self._list.append(key)
except AttributeError:
# work around Python pickle loads() with
# dict subclass (seems to ignore __setstate__?)
self._list = [key]
dict.__setitem__(self, key, object)
def __delitem__(self, key):
dict.__delitem__(self, key)
self._list.remove(key)
def pop(self, key, *default):
present = key in self
value = dict.pop(self, key, *default)
if present:
self._list.remove(key)
return value
def popitem(self):
item = dict.popitem(self)
self._list.remove(item[0])
return item
class OrderedSet(set):
def __init__(self, d=None):
set.__init__(self)
self._list = []
if d is not None:
self.update(d)
def add(self, element):
if element not in self:
self._list.append(element)
set.add(self, element)
def remove(self, element):
set.remove(self, element)
self._list.remove(element)
def insert(self, pos, element):
if element not in self:
self._list.insert(pos, element)
set.add(self, element)
def discard(self, element):
if element in self:
self._list.remove(element)
set.remove(self, element)
def clear(self):
set.clear(self)
self._list = []
def __getitem__(self, key):
return self._list[key]
def __iter__(self):
return iter(self._list)
def __add__(self, other):
return self.union(other)
def __repr__(self):
return '%s(%r)' % (self.__class__.__name__, self._list)
__str__ = __repr__
def update(self, iterable):
for e in iterable:
if e not in self:
self._list.append(e)
set.add(self, e)
return self
__ior__ = update
def union(self, other):
result = self.__class__(self)
result.update(other)
return result
__or__ = union
def intersection(self, other):
other = set(other)
return self.__class__(a for a in self if a in other)
__and__ = intersection
def symmetric_difference(self, other):
other = set(other)
result = self.__class__(a for a in self if a not in other)
result.update(a for a in other if a not in self)
return result
__xor__ = symmetric_difference
def difference(self, other):
other = set(other)
return self.__class__(a for a in self if a not in other)
__sub__ = difference
def intersection_update(self, other):
other = set(other)
set.intersection_update(self, other)
self._list = [ a for a in self._list if a in other]
return self
__iand__ = intersection_update
def symmetric_difference_update(self, other):
set.symmetric_difference_update(self, other)
self._list = [ a for a in self._list if a in self]
self._list += [ a for a in other._list if a in self]
return self
__ixor__ = symmetric_difference_update
def difference_update(self, other):
set.difference_update(self, other)
self._list = [ a for a in self._list if a in self]
return self
__isub__ = difference_update
class IdentitySet(object):
"""A set that considers only object id() for uniqueness.
This strategy has edge cases for builtin types- it's possible to have
two 'foo' strings in one of these sets, for example. Use sparingly.
"""
_working_set = set
def __init__(self, iterable=None):
self._members = dict()
if iterable:
for o in iterable:
self.add(o)
def add(self, value):
self._members[id(value)] = value
def __contains__(self, value):
return id(value) in self._members
def remove(self, value):
del self._members[id(value)]
def discard(self, value):
try:
self.remove(value)
except KeyError:
pass
def pop(self):
try:
pair = self._members.popitem()
return pair[1]
except KeyError:
raise KeyError('pop from an empty set')
def clear(self):
self._members.clear()
def __sub__(self, other):
return self.difference(other)
def __cmp__(self, other):
raise TypeError('cannot compare sets using cmp()')
def __eq__(self, other):
if isinstance(other, IdentitySet):
return self._members == other._members
else:
return False
def __ne__(self, other):
if isinstance(other, IdentitySet):
return self._members != other._members
else:
return True
def issubset(self, iterable):
other = type(self)(iterable)
if len(self) > len(other):
return False
for m in itertools.ifilterfalse(other._members.__contains__,
self._members.iterkeys()):
return False
return True
def __le__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return self.issubset(other)
def __lt__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return len(self) < len(other) and self.issubset(other)
def issuperset(self, iterable):
other = type(self)(iterable)
if len(self) < len(other):
return False
for m in itertools.ifilterfalse(self._members.__contains__,
other._members.iterkeys()):
return False
return True
def __ge__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return self.issuperset(other)
def __gt__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return len(self) > len(other) and self.issuperset(other)
def union(self, iterable):
result = type(self)()
# testlib.pragma exempt:__hash__
result._members.update(
self._working_set(self._member_id_tuples()).union(_iter_id(iterable)))
return result
def __or__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return self.union(other)
def update(self, iterable):
self._members = self.union(iterable)._members
def __ior__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
self.update(other)
return self
def difference(self, iterable):
result = type(self)()
# testlib.pragma exempt:__hash__
result._members.update(
self._working_set(self._member_id_tuples()).difference(_iter_id(iterable)))
return result
def __sub__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return self.difference(other)
def difference_update(self, iterable):
self._members = self.difference(iterable)._members
def __isub__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
self.difference_update(other)
return self
def intersection(self, iterable):
result = type(self)()
# testlib.pragma exempt:__hash__
result._members.update(
self._working_set(self._member_id_tuples()).intersection(_iter_id(iterable)))
return result
def __and__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return self.intersection(other)
def intersection_update(self, iterable):
self._members = self.intersection(iterable)._members
def __iand__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
self.intersection_update(other)
return self
def symmetric_difference(self, iterable):
result = type(self)()
# testlib.pragma exempt:__hash__
result._members.update(
self._working_set(self._member_id_tuples()).symmetric_difference(_iter_id(iterable)))
return result
def _member_id_tuples(self):
return ((id(v), v) for v in self._members.itervalues())
def __xor__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
return self.symmetric_difference(other)
def symmetric_difference_update(self, iterable):
self._members = self.symmetric_difference(iterable)._members
def __ixor__(self, other):
if not isinstance(other, IdentitySet):
return NotImplemented
self.symmetric_difference(other)
return self
def copy(self):
return type(self)(self._members.itervalues())
__copy__ = copy
def __len__(self):
return len(self._members)
def __iter__(self):
return self._members.itervalues()
def __hash__(self):
raise TypeError('set objects are unhashable')
def __repr__(self):
return '%s(%r)' % (type(self).__name__, self._members.values())
class OrderedIdentitySet(IdentitySet):
class _working_set(OrderedSet):
# a testing pragma: exempt the OIDS working set from the test suite's
# "never call the user's __hash__" assertions. this is a big hammer,
# but it's safe here: IDS operates on (id, instance) tuples in the
# working set.
__sa_hash_exempt__ = True
def __init__(self, iterable=None):
IdentitySet.__init__(self)
self._members = OrderedDict()
if iterable:
for o in iterable:
self.add(o)
if sys.version_info >= (2, 5):
class PopulateDict(dict):
"""A dict which populates missing values via a creation function.
Note the creation function takes a key, unlike
collections.defaultdict.
"""
def __init__(self, creator):
self.creator = creator
def __missing__(self, key):
self[key] = val = self.creator(key)
return val
else:
class PopulateDict(dict):
"""A dict which populates missing values via a creation function."""
def __init__(self, creator):
self.creator = creator
def __getitem__(self, key):
try:
return dict.__getitem__(self, key)
except KeyError:
self[key] = value = self.creator(key)
return value
# define collections that are capable of storing
# ColumnElement objects as hashable keys/elements.
column_set = set
column_dict = dict
ordered_column_set = OrderedSet
populate_column_dict = PopulateDict
def unique_list(seq, hashfunc=None):
seen = {}
if not hashfunc:
return [x for x in seq
if x not in seen
and not seen.__setitem__(x, True)]
else:
return [x for x in seq
if hashfunc(x) not in seen
and not seen.__setitem__(hashfunc(x), True)]
class UniqueAppender(object):
"""Appends items to a collection ensuring uniqueness.
Additional appends() of the same object are ignored. Membership is
determined by identity (``is a``) not equality (``==``).
"""
def __init__(self, data, via=None):
self.data = data
self._unique = {}
if via:
self._data_appender = getattr(data, via)
elif hasattr(data, 'append'):
self._data_appender = data.append
elif hasattr(data, 'add'):
self._data_appender = data.add
def append(self, item):
id_ = id(item)
if id_ not in self._unique:
self._data_appender(item)
self._unique[id_] = True
def __iter__(self):
return iter(self.data)
def to_list(x, default=None):
if x is None:
return default
if not isinstance(x, (list, tuple)):
return [x]
else:
return x
def to_set(x):
if x is None:
return set()
if not isinstance(x, set):
return set(to_list(x))
else:
return x
def to_column_set(x):
if x is None:
return column_set()
if not isinstance(x, column_set):
return column_set(to_list(x))
else:
return x
def update_copy(d, _new=None, **kw):
"""Copy the given dict and update with the given values."""
d = d.copy()
if _new:
d.update(_new)
d.update(**kw)
return d
def flatten_iterator(x):
"""Given an iterator of which further sub-elements may also be
iterators, flatten the sub-elements into a single iterator.
"""
for elem in x:
if not isinstance(elem, basestring) and hasattr(elem, '__iter__'):
for y in flatten_iterator(elem):
yield y
else:
yield elem
class WeakIdentityMapping(weakref.WeakKeyDictionary):
"""A WeakKeyDictionary with an object identity index.
Adds a .by_id dictionary to a regular WeakKeyDictionary. Trades
performance during mutation operations for accelerated lookups by id().
The usual cautions about weak dictionaries and iteration also apply to
this subclass.
"""
_none = symbol('none')
def __init__(self):
weakref.WeakKeyDictionary.__init__(self)
self.by_id = {}
self._weakrefs = {}
def __setitem__(self, object, value):
oid = id(object)
self.by_id[oid] = value
if oid not in self._weakrefs:
self._weakrefs[oid] = self._ref(object)
weakref.WeakKeyDictionary.__setitem__(self, object, value)
def __delitem__(self, object):
del self._weakrefs[id(object)]
del self.by_id[id(object)]
weakref.WeakKeyDictionary.__delitem__(self, object)
def setdefault(self, object, default=None):
value = weakref.WeakKeyDictionary.setdefault(self, object, default)
oid = id(object)
if value is default:
self.by_id[oid] = default
if oid not in self._weakrefs:
self._weakrefs[oid] = self._ref(object)
return value
def pop(self, object, default=_none):
if default is self._none:
value = weakref.WeakKeyDictionary.pop(self, object)
else:
value = weakref.WeakKeyDictionary.pop(self, object, default)
if id(object) in self.by_id:
del self._weakrefs[id(object)]
del self.by_id[id(object)]
return value
def popitem(self):
item = weakref.WeakKeyDictionary.popitem(self)
oid = id(item[0])
del self._weakrefs[oid]
del self.by_id[oid]
return item
def clear(self):
# Py2K
# in 3k, MutableMapping calls popitem()
self._weakrefs.clear()
self.by_id.clear()
# end Py2K
weakref.WeakKeyDictionary.clear(self)
def update(self, *a, **kw):
raise NotImplementedError
def _cleanup(self, wr, key=None):
if key is None:
key = wr.key
try:
del self._weakrefs[key]
except (KeyError, AttributeError): # pragma: no cover
pass # pragma: no cover
try:
del self.by_id[key]
except (KeyError, AttributeError): # pragma: no cover
pass # pragma: no cover
class _keyed_weakref(weakref.ref):
def __init__(self, object, callback):
weakref.ref.__init__(self, object, callback)
self.key = id(object)
def _ref(self, object):
return self._keyed_weakref(object, self._cleanup)
class LRUCache(dict):
"""Dictionary with 'squishy' removal of least
recently used items.
"""
def __init__(self, capacity=100, threshold=.5):
self.capacity = capacity
self.threshold = threshold
self._counter = 0
def _inc_counter(self):
self._counter += 1
return self._counter
def __getitem__(self, key):
item = dict.__getitem__(self, key)
item[2] = self._inc_counter()
return item[1]
def values(self):
return [i[1] for i in dict.values(self)]
def setdefault(self, key, value):
if key in self:
return self[key]
else:
self[key] = value
return value
def __setitem__(self, key, value):
item = dict.get(self, key)
if item is None:
item = [key, value, self._inc_counter()]
dict.__setitem__(self, key, item)
else:
item[1] = value
self._manage_size()
def _manage_size(self):
while len(self) > self.capacity + self.capacity * self.threshold:
by_counter = sorted(dict.values(self),
key=operator.itemgetter(2),
reverse=True)
for item in by_counter[self.capacity:]:
try:
del self[item[0]]
except KeyError:
# if we couldnt find a key, most
# likely some other thread broke in
# on us. loop around and try again
break
class ScopedRegistry(object):
"""A Registry that can store one or multiple instances of a single
class on the basis of a "scope" function.
The object implements ``__call__`` as the "getter", so by
calling ``myregistry()`` the contained object is returned
for the current scope.
:param createfunc:
a callable that returns a new object to be placed in the registry
:param scopefunc:
a callable that will return a key to store/retrieve an object.
"""
def __init__(self, createfunc, scopefunc):
"""Construct a new :class:`.ScopedRegistry`.
:param createfunc: A creation function that will generate
a new value for the current scope, if none is present.
:param scopefunc: A function that returns a hashable
token representing the current scope (such as, current
thread identifier).
"""
self.createfunc = createfunc
self.scopefunc = scopefunc
self.registry = {}
def __call__(self):
key = self.scopefunc()
try:
return self.registry[key]
except KeyError:
return self.registry.setdefault(key, self.createfunc())
def has(self):
"""Return True if an object is present in the current scope."""
return self.scopefunc() in self.registry
def set(self, obj):
"""Set the value forthe current scope."""
self.registry[self.scopefunc()] = obj
def clear(self):
"""Clear the current scope, if any."""
try:
del self.registry[self.scopefunc()]
except KeyError:
pass
class ThreadLocalRegistry(ScopedRegistry):
"""A :class:`.ScopedRegistry` that uses a ``threading.local()``
variable for storage.
"""
def __init__(self, createfunc):
self.createfunc = createfunc
self.registry = threading.local()
def __call__(self):
try:
return self.registry.value
except AttributeError:
val = self.registry.value = self.createfunc()
return val
def has(self):
return hasattr(self.registry, "value")
def set(self, obj):
self.registry.value = obj
def clear(self):
try:
del self.registry.value
except AttributeError:
pass
def _iter_id(iterable):
"""Generator: ((id(o), o) for o in iterable)."""
for item in iterable:
yield id(item), item
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# util/compat.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Handle Python version/platform incompatibilities."""
import sys
try:
import threading
except ImportError:
import dummy_threading as threading
py32 = sys.version_info >= (3, 2)
py3k_warning = getattr(sys, 'py3kwarning', False) or sys.version_info >= (3, 0)
jython = sys.platform.startswith('java')
pypy = hasattr(sys, 'pypy_version_info')
win32 = sys.platform.startswith('win')
if py3k_warning:
set_types = set
elif sys.version_info < (2, 6):
import sets
set_types = set, sets.Set
else:
# 2.6 deprecates sets.Set, but we still need to be able to detect them
# in user code and as return values from DB-APIs
ignore = ('ignore', None, DeprecationWarning, None, 0)
import warnings
try:
warnings.filters.insert(0, ignore)
except Exception:
import sets
else:
import sets
warnings.filters.remove(ignore)
set_types = set, sets.Set
if py3k_warning:
import pickle
else:
try:
import cPickle as pickle
except ImportError:
import pickle
# a controversial feature, required by MySQLdb currently
def buffer(x):
return x
# Py2K
buffer = buffer
# end Py2K
try:
from functools import update_wrapper
except ImportError:
def update_wrapper(wrapper, wrapped,
assigned=('__doc__', '__module__', '__name__'),
updated=('__dict__',)):
for attr in assigned:
setattr(wrapper, attr, getattr(wrapped, attr))
for attr in updated:
getattr(wrapper, attr).update(getattr(wrapped, attr, ()))
return wrapper
try:
from functools import partial
except ImportError:
def partial(func, *args, **keywords):
def newfunc(*fargs, **fkeywords):
newkeywords = keywords.copy()
newkeywords.update(fkeywords)
return func(*(args + fargs), **newkeywords)
return newfunc
if sys.version_info < (2, 6):
# emits a nasty deprecation warning
# in newer pythons
from cgi import parse_qsl
else:
from urlparse import parse_qsl
# Py3K
#from inspect import getfullargspec as inspect_getfullargspec
# Py2K
from inspect import getargspec as inspect_getfullargspec
# end Py2K
if py3k_warning:
# they're bringing it back in 3.2. brilliant !
def callable(fn):
return hasattr(fn, '__call__')
def cmp(a, b):
return (a > b) - (a < b)
from functools import reduce
else:
callable = callable
cmp = cmp
reduce = reduce
try:
from collections import defaultdict
except ImportError:
class defaultdict(dict):
def __init__(self, default_factory=None, *a, **kw):
if (default_factory is not None and
not hasattr(default_factory, '__call__')):
raise TypeError('first argument must be callable')
dict.__init__(self, *a, **kw)
self.default_factory = default_factory
def __getitem__(self, key):
try:
return dict.__getitem__(self, key)
except KeyError:
return self.__missing__(key)
def __missing__(self, key):
if self.default_factory is None:
raise KeyError(key)
self[key] = value = self.default_factory()
return value
def __reduce__(self):
if self.default_factory is None:
args = tuple()
else:
args = self.default_factory,
return type(self), args, None, None, self.iteritems()
def copy(self):
return self.__copy__()
def __copy__(self):
return type(self)(self.default_factory, self)
def __deepcopy__(self, memo):
import copy
return type(self)(self.default_factory,
copy.deepcopy(self.items()))
def __repr__(self):
return 'defaultdict(%s, %s)' % (self.default_factory,
dict.__repr__(self))
# find or create a dict implementation that supports __missing__
class _probe(dict):
def __missing__(self, key):
return 1
try:
try:
_probe()['missing']
py25_dict = dict
except KeyError:
class py25_dict(dict):
def __getitem__(self, key):
try:
return dict.__getitem__(self, key)
except KeyError:
try:
missing = self.__missing__
except AttributeError:
raise KeyError(key)
else:
return missing(key)
finally:
del _probe
try:
import hashlib
_md5 = hashlib.md5
except ImportError:
import md5
_md5 = md5.new
def md5_hex(x):
# Py3K
#x = x.encode('utf-8')
m = _md5()
m.update(x)
return m.hexdigest()
import time
if win32 or jython:
time_func = time.clock
else:
time_func = time.time
if sys.version_info >= (2, 5):
any = any
else:
def any(iterator):
for item in iterator:
if bool(item):
return True
else:
return False
if sys.version_info >= (2, 5):
def decode_slice(slc):
"""decode a slice object as sent to __getitem__.
takes into account the 2.5 __index__() method, basically.
"""
ret = []
for x in slc.start, slc.stop, slc.step:
if hasattr(x, '__index__'):
x = x.__index__()
ret.append(x)
return tuple(ret)
else:
def decode_slice(slc):
return (slc.start, slc.stop, slc.step)
if sys.version_info >= (2, 6):
from operator import attrgetter as dottedgetter
else:
def dottedgetter(attr):
def g(obj):
for name in attr.split("."):
obj = getattr(obj, name)
return obj
return g
import decimal
+118
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@@ -0,0 +1,118 @@
# util/deprecations.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Helpers related to deprecation of functions, methods, classes, other
functionality."""
from sqlalchemy import exc
import warnings
import re
from langhelpers import decorator
def warn_deprecated(msg, stacklevel=3):
warnings.warn(msg, exc.SADeprecationWarning, stacklevel=stacklevel)
def warn_pending_deprecation(msg, stacklevel=3):
warnings.warn(msg, exc.SAPendingDeprecationWarning, stacklevel=stacklevel)
def deprecated(version, message=None, add_deprecation_to_docstring=True):
"""Decorates a function and issues a deprecation warning on use.
:param message:
If provided, issue message in the warning. A sensible default
is used if not provided.
:param add_deprecation_to_docstring:
Default True. If False, the wrapped function's __doc__ is left
as-is. If True, the 'message' is prepended to the docs if
provided, or sensible default if message is omitted.
"""
if add_deprecation_to_docstring:
header = ".. deprecated:: %s %s" % \
(version, (message or ''))
else:
header = None
if message is None:
message = "Call to deprecated function %(func)s"
def decorate(fn):
return _decorate_with_warning(
fn, exc.SADeprecationWarning,
message % dict(func=fn.__name__), header)
return decorate
def pending_deprecation(version, message=None,
add_deprecation_to_docstring=True):
"""Decorates a function and issues a pending deprecation warning on use.
:param version:
An approximate future version at which point the pending deprecation
will become deprecated. Not used in messaging.
:param message:
If provided, issue message in the warning. A sensible default
is used if not provided.
:param add_deprecation_to_docstring:
Default True. If False, the wrapped function's __doc__ is left
as-is. If True, the 'message' is prepended to the docs if
provided, or sensible default if message is omitted.
"""
if add_deprecation_to_docstring:
header = ".. deprecated:: %s (pending) %s" % \
(version, (message or ''))
else:
header = None
if message is None:
message = "Call to deprecated function %(func)s"
def decorate(fn):
return _decorate_with_warning(
fn, exc.SAPendingDeprecationWarning,
message % dict(func=fn.__name__), header)
return decorate
def _sanitize_restructured_text(text):
def repl(m):
type_, name = m.group(1, 2)
if type_ in ("func", "meth"):
name += "()"
return name
return re.sub(r'\:(\w+)\:`~?\.?(.+?)`', repl, text)
def _decorate_with_warning(func, wtype, message, docstring_header=None):
"""Wrap a function with a warnings.warn and augmented docstring."""
message = _sanitize_restructured_text(message)
@decorator
def warned(fn, *args, **kwargs):
warnings.warn(wtype(message), stacklevel=3)
return fn(*args, **kwargs)
doc = func.__doc__ is not None and func.__doc__ or ''
if docstring_header is not None:
docstring_header %= dict(func=func.__name__)
docs = doc and doc.expandtabs().split('\n') or []
indent = ''
for line in docs[1:]:
text = line.lstrip()
if text:
indent = line[0:len(line) - len(text)]
break
point = min(len(docs), 1)
docs.insert(point, '\n' + indent + docstring_header.rstrip())
doc = '\n'.join(docs)
decorated = warned(func)
decorated.__doc__ = doc
return decorated
+898
View File
@@ -0,0 +1,898 @@
# util/langhelpers.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Routines to help with the creation, loading and introspection of
modules, classes, hierarchies, attributes, functions, and methods.
"""
import itertools
import inspect
import operator
import re
import sys
import types
import warnings
from compat import update_wrapper, set_types, threading, callable, inspect_getfullargspec, py3k_warning
from sqlalchemy import exc
def _unique_symbols(used, *bases):
used = set(used)
for base in bases:
pool = itertools.chain((base,),
itertools.imap(lambda i: base + str(i),
xrange(1000)))
for sym in pool:
if sym not in used:
used.add(sym)
yield sym
break
else:
raise NameError("exhausted namespace for symbol base %s" % base)
def decorator(target):
"""A signature-matching decorator factory."""
def decorate(fn):
if not inspect.isfunction(fn):
raise Exception("not a decoratable function")
spec = inspect_getfullargspec(fn)
names = tuple(spec[0]) + spec[1:3] + (fn.func_name,)
targ_name, fn_name = _unique_symbols(names, 'target', 'fn')
metadata = dict(target=targ_name, fn=fn_name)
metadata.update(format_argspec_plus(spec, grouped=False))
code = 'lambda %(args)s: %(target)s(%(fn)s, %(apply_kw)s)' % (
metadata)
decorated = eval(code, {targ_name:target, fn_name:fn})
decorated.func_defaults = getattr(fn, 'im_func', fn).func_defaults
return update_wrapper(decorated, fn)
return update_wrapper(decorate, target)
def get_cls_kwargs(cls):
"""Return the full set of inherited kwargs for the given `cls`.
Probes a class's __init__ method, collecting all named arguments. If the
__init__ defines a \**kwargs catch-all, then the constructor is presumed to
pass along unrecognized keywords to it's base classes, and the collection
process is repeated recursively on each of the bases.
Uses a subset of inspect.getargspec() to cut down on method overhead.
No anonymous tuple arguments please !
"""
for c in cls.__mro__:
if '__init__' in c.__dict__:
stack = set([c])
break
else:
return []
args = set()
while stack:
class_ = stack.pop()
ctr = class_.__dict__.get('__init__', False)
if (not ctr or
not isinstance(ctr, types.FunctionType) or
not isinstance(ctr.func_code, types.CodeType)):
stack.update(class_.__bases__)
continue
# this is shorthand for
# names, _, has_kw, _ = inspect.getargspec(ctr)
names, has_kw = inspect_func_args(ctr)
args.update(names)
if has_kw:
stack.update(class_.__bases__)
args.discard('self')
return args
try:
from inspect import CO_VARKEYWORDS
def inspect_func_args(fn):
co = fn.func_code
nargs = co.co_argcount
names = co.co_varnames
args = list(names[:nargs])
has_kw = bool(co.co_flags & CO_VARKEYWORDS)
return args, has_kw
except ImportError:
def inspect_func_args(fn):
names, _, has_kw, _ = inspect.getargspec(fn)
return names, bool(has_kw)
def get_func_kwargs(func):
"""Return the set of legal kwargs for the given `func`.
Uses getargspec so is safe to call for methods, functions,
etc.
"""
return inspect.getargspec(func)[0]
def format_argspec_plus(fn, grouped=True):
"""Returns a dictionary of formatted, introspected function arguments.
A enhanced variant of inspect.formatargspec to support code generation.
fn
An inspectable callable or tuple of inspect getargspec() results.
grouped
Defaults to True; include (parens, around, argument) lists
Returns:
args
Full inspect.formatargspec for fn
self_arg
The name of the first positional argument, varargs[0], or None
if the function defines no positional arguments.
apply_pos
args, re-written in calling rather than receiving syntax. Arguments are
passed positionally.
apply_kw
Like apply_pos, except keyword-ish args are passed as keywords.
Example::
>>> format_argspec_plus(lambda self, a, b, c=3, **d: 123)
{'args': '(self, a, b, c=3, **d)',
'self_arg': 'self',
'apply_kw': '(self, a, b, c=c, **d)',
'apply_pos': '(self, a, b, c, **d)'}
"""
if callable(fn):
spec = inspect_getfullargspec(fn)
else:
# we accept an existing argspec...
spec = fn
args = inspect.formatargspec(*spec)
if spec[0]:
self_arg = spec[0][0]
elif spec[1]:
self_arg = '%s[0]' % spec[1]
else:
self_arg = None
# Py3K
#apply_pos = inspect.formatargspec(spec[0], spec[1], spec[2], None, spec[4])
#num_defaults = 0
#if spec[3]:
# num_defaults += len(spec[3])
#if spec[4]:
# num_defaults += len(spec[4])
#name_args = spec[0] + spec[4]
# Py2K
apply_pos = inspect.formatargspec(spec[0], spec[1], spec[2])
num_defaults = 0
if spec[3]:
num_defaults += len(spec[3])
name_args = spec[0]
# end Py2K
if num_defaults:
defaulted_vals = name_args[0-num_defaults:]
else:
defaulted_vals = ()
apply_kw = inspect.formatargspec(name_args, spec[1], spec[2], defaulted_vals,
formatvalue=lambda x: '=' + x)
if grouped:
return dict(args=args, self_arg=self_arg,
apply_pos=apply_pos, apply_kw=apply_kw)
else:
return dict(args=args[1:-1], self_arg=self_arg,
apply_pos=apply_pos[1:-1], apply_kw=apply_kw[1:-1])
def format_argspec_init(method, grouped=True):
"""format_argspec_plus with considerations for typical __init__ methods
Wraps format_argspec_plus with error handling strategies for typical
__init__ cases::
object.__init__ -> (self)
other unreflectable (usually C) -> (self, *args, **kwargs)
"""
try:
return format_argspec_plus(method, grouped=grouped)
except TypeError:
self_arg = 'self'
if method is object.__init__:
args = grouped and '(self)' or 'self'
else:
args = (grouped and '(self, *args, **kwargs)'
or 'self, *args, **kwargs')
return dict(self_arg='self', args=args, apply_pos=args, apply_kw=args)
def getargspec_init(method):
"""inspect.getargspec with considerations for typical __init__ methods
Wraps inspect.getargspec with error handling for typical __init__ cases::
object.__init__ -> (self)
other unreflectable (usually C) -> (self, *args, **kwargs)
"""
try:
return inspect.getargspec(method)
except TypeError:
if method is object.__init__:
return (['self'], None, None, None)
else:
return (['self'], 'args', 'kwargs', None)
def unbound_method_to_callable(func_or_cls):
"""Adjust the incoming callable such that a 'self' argument is not required."""
if isinstance(func_or_cls, types.MethodType) and not func_or_cls.im_self:
return func_or_cls.im_func
else:
return func_or_cls
def generic_repr(obj):
"""Produce a __repr__() based on direct association of the __init__()
specification vs. same-named attributes present.
"""
def genargs():
try:
(args, vargs, vkw, defaults) = inspect.getargspec(obj.__init__)
except TypeError:
return
default_len = defaults and len(defaults) or 0
if not default_len:
for arg in args[1:]:
yield repr(getattr(obj, arg, None))
if vargs is not None and hasattr(obj, vargs):
yield ', '.join(repr(val) for val in getattr(obj, vargs))
else:
for arg in args[1:-default_len]:
yield repr(getattr(obj, arg, None))
for (arg, defval) in zip(args[-default_len:], defaults):
try:
val = getattr(obj, arg, None)
if val != defval:
yield '%s=%r' % (arg, val)
except:
pass
return "%s(%s)" % (obj.__class__.__name__, ", ".join(genargs()))
class portable_instancemethod(object):
"""Turn an instancemethod into a (parent, name) pair
to produce a serializable callable.
"""
def __init__(self, meth):
self.target = meth.im_self
self.name = meth.__name__
def __call__(self, *arg, **kw):
return getattr(self.target, self.name)(*arg, **kw)
def class_hierarchy(cls):
"""Return an unordered sequence of all classes related to cls.
Traverses diamond hierarchies.
Fibs slightly: subclasses of builtin types are not returned. Thus
class_hierarchy(class A(object)) returns (A, object), not A plus every
class systemwide that derives from object.
Old-style classes are discarded and hierarchies rooted on them
will not be descended.
"""
# Py2K
if isinstance(cls, types.ClassType):
return list()
# end Py2K
hier = set([cls])
process = list(cls.__mro__)
while process:
c = process.pop()
# Py2K
if isinstance(c, types.ClassType):
continue
for b in (_ for _ in c.__bases__
if _ not in hier and not isinstance(_, types.ClassType)):
# end Py2K
# Py3K
#for b in (_ for _ in c.__bases__
# if _ not in hier):
process.append(b)
hier.add(b)
# Py3K
#if c.__module__ == 'builtins' or not hasattr(c, '__subclasses__'):
# continue
# Py2K
if c.__module__ == '__builtin__' or not hasattr(c, '__subclasses__'):
continue
# end Py2K
for s in [_ for _ in c.__subclasses__() if _ not in hier]:
process.append(s)
hier.add(s)
return list(hier)
def iterate_attributes(cls):
"""iterate all the keys and attributes associated
with a class, without using getattr().
Does not use getattr() so that class-sensitive
descriptors (i.e. property.__get__()) are not called.
"""
keys = dir(cls)
for key in keys:
for c in cls.__mro__:
if key in c.__dict__:
yield (key, c.__dict__[key])
break
def monkeypatch_proxied_specials(into_cls, from_cls, skip=None, only=None,
name='self.proxy', from_instance=None):
"""Automates delegation of __specials__ for a proxying type."""
if only:
dunders = only
else:
if skip is None:
skip = ('__slots__', '__del__', '__getattribute__',
'__metaclass__', '__getstate__', '__setstate__')
dunders = [m for m in dir(from_cls)
if (m.startswith('__') and m.endswith('__') and
not hasattr(into_cls, m) and m not in skip)]
for method in dunders:
try:
fn = getattr(from_cls, method)
if not hasattr(fn, '__call__'):
continue
fn = getattr(fn, 'im_func', fn)
except AttributeError:
continue
try:
spec = inspect.getargspec(fn)
fn_args = inspect.formatargspec(spec[0])
d_args = inspect.formatargspec(spec[0][1:])
except TypeError:
fn_args = '(self, *args, **kw)'
d_args = '(*args, **kw)'
py = ("def %(method)s%(fn_args)s: "
"return %(name)s.%(method)s%(d_args)s" % locals())
env = from_instance is not None and {name: from_instance} or {}
exec py in env
try:
env[method].func_defaults = fn.func_defaults
except AttributeError:
pass
setattr(into_cls, method, env[method])
def methods_equivalent(meth1, meth2):
"""Return True if the two methods are the same implementation."""
# Py3K
#return getattr(meth1, '__func__', meth1) is getattr(meth2, '__func__', meth2)
# Py2K
return getattr(meth1, 'im_func', meth1) is getattr(meth2, 'im_func', meth2)
# end Py2K
def as_interface(obj, cls=None, methods=None, required=None):
"""Ensure basic interface compliance for an instance or dict of callables.
Checks that ``obj`` implements public methods of ``cls`` or has members
listed in ``methods``. If ``required`` is not supplied, implementing at
least one interface method is sufficient. Methods present on ``obj`` that
are not in the interface are ignored.
If ``obj`` is a dict and ``dict`` does not meet the interface
requirements, the keys of the dictionary are inspected. Keys present in
``obj`` that are not in the interface will raise TypeErrors.
Raises TypeError if ``obj`` does not meet the interface criteria.
In all passing cases, an object with callable members is returned. In the
simple case, ``obj`` is returned as-is; if dict processing kicks in then
an anonymous class is returned.
obj
A type, instance, or dictionary of callables.
cls
Optional, a type. All public methods of cls are considered the
interface. An ``obj`` instance of cls will always pass, ignoring
``required``..
methods
Optional, a sequence of method names to consider as the interface.
required
Optional, a sequence of mandatory implementations. If omitted, an
``obj`` that provides at least one interface method is considered
sufficient. As a convenience, required may be a type, in which case
all public methods of the type are required.
"""
if not cls and not methods:
raise TypeError('a class or collection of method names are required')
if isinstance(cls, type) and isinstance(obj, cls):
return obj
interface = set(methods or [m for m in dir(cls) if not m.startswith('_')])
implemented = set(dir(obj))
complies = operator.ge
if isinstance(required, type):
required = interface
elif not required:
required = set()
complies = operator.gt
else:
required = set(required)
if complies(implemented.intersection(interface), required):
return obj
# No dict duck typing here.
if not type(obj) is dict:
qualifier = complies is operator.gt and 'any of' or 'all of'
raise TypeError("%r does not implement %s: %s" % (
obj, qualifier, ', '.join(interface)))
class AnonymousInterface(object):
"""A callable-holding shell."""
if cls:
AnonymousInterface.__name__ = 'Anonymous' + cls.__name__
found = set()
for method, impl in dictlike_iteritems(obj):
if method not in interface:
raise TypeError("%r: unknown in this interface" % method)
if not callable(impl):
raise TypeError("%r=%r is not callable" % (method, impl))
setattr(AnonymousInterface, method, staticmethod(impl))
found.add(method)
if complies(found, required):
return AnonymousInterface
raise TypeError("dictionary does not contain required keys %s" %
', '.join(required - found))
class memoized_property(object):
"""A read-only @property that is only evaluated once."""
def __init__(self, fget, doc=None):
self.fget = fget
self.__doc__ = doc or fget.__doc__
self.__name__ = fget.__name__
def __get__(self, obj, cls):
if obj is None:
return self
obj.__dict__[self.__name__] = result = self.fget(obj)
return result
class memoized_instancemethod(object):
"""Decorate a method memoize its return value.
Best applied to no-arg methods: memoization is not sensitive to
argument values, and will always return the same value even when
called with different arguments.
"""
def __init__(self, fget, doc=None):
self.fget = fget
self.__doc__ = doc or fget.__doc__
self.__name__ = fget.__name__
def __get__(self, obj, cls):
if obj is None:
return self
def oneshot(*args, **kw):
result = self.fget(obj, *args, **kw)
memo = lambda *a, **kw: result
memo.__name__ = self.__name__
memo.__doc__ = self.__doc__
obj.__dict__[self.__name__] = memo
return result
oneshot.__name__ = self.__name__
oneshot.__doc__ = self.__doc__
return oneshot
def reset_memoized(instance, name):
instance.__dict__.pop(name, None)
class group_expirable_memoized_property(object):
"""A family of @memoized_properties that can be expired in tandem."""
def __init__(self, attributes=()):
self.attributes = []
if attributes:
self.attributes.extend(attributes)
def expire_instance(self, instance):
"""Expire all memoized properties for *instance*."""
stash = instance.__dict__
for attribute in self.attributes:
stash.pop(attribute, None)
def __call__(self, fn):
self.attributes.append(fn.__name__)
return memoized_property(fn)
def method(self, fn):
self.attributes.append(fn.__name__)
return memoized_instancemethod(fn)
class importlater(object):
"""Deferred import object.
e.g.::
somesubmod = importlater("mypackage.somemodule", "somesubmod")
is equivalent to::
from mypackage.somemodule import somesubmod
except evaluted upon attribute access to "somesubmod".
importlater() currently requires that resolve_all() be
called, typically at the bottom of a package's __init__.py.
This is so that __import__ still called only at
module import time, and not potentially within
a non-main thread later on.
"""
_unresolved = set()
def __init__(self, path, addtl=None):
self._il_path = path
self._il_addtl = addtl
importlater._unresolved.add(self)
@classmethod
def resolve_all(cls):
for m in list(importlater._unresolved):
m._resolve()
@property
def _full_path(self):
if self._il_addtl:
return self._il_path + "." + self._il_addtl
else:
return self._il_path
@memoized_property
def module(self):
if self in importlater._unresolved:
raise ImportError(
"importlater.resolve_all() hasn't been called")
m = self._initial_import
if self._il_addtl:
m = getattr(m, self._il_addtl)
else:
for token in self._il_path.split(".")[1:]:
m = getattr(m, token)
return m
def _resolve(self):
importlater._unresolved.discard(self)
if self._il_addtl:
self._initial_import = __import__(
self._il_path, globals(), locals(),
[self._il_addtl])
else:
self._initial_import = __import__(self._il_path)
def __getattr__(self, key):
if key == 'module':
raise ImportError("Could not resolve module %s"
% self._full_path)
try:
attr = getattr(self.module, key)
except AttributeError:
raise AttributeError(
"Module %s has no attribute '%s'" %
(self._full_path, key)
)
self.__dict__[key] = attr
return attr
# from paste.deploy.converters
def asbool(obj):
if isinstance(obj, (str, unicode)):
obj = obj.strip().lower()
if obj in ['true', 'yes', 'on', 'y', 't', '1']:
return True
elif obj in ['false', 'no', 'off', 'n', 'f', '0']:
return False
else:
raise ValueError("String is not true/false: %r" % obj)
return bool(obj)
def bool_or_str(*text):
"""Return a callable that will evaulate a string as
boolean, or one of a set of "alternate" string values.
"""
def bool_or_value(obj):
if obj in text:
return obj
else:
return asbool(obj)
return bool_or_value
def asint(value):
"""Coerce to integer."""
if value is None:
return value
return int(value)
def coerce_kw_type(kw, key, type_, flexi_bool=True):
"""If 'key' is present in dict 'kw', coerce its value to type 'type\_' if
necessary. If 'flexi_bool' is True, the string '0' is considered false
when coercing to boolean.
"""
if key in kw and type(kw[key]) is not type_ and kw[key] is not None:
if type_ is bool and flexi_bool:
kw[key] = asbool(kw[key])
else:
kw[key] = type_(kw[key])
def constructor_copy(obj, cls, **kw):
"""Instantiate cls using the __dict__ of obj as constructor arguments.
Uses inspect to match the named arguments of ``cls``.
"""
names = get_cls_kwargs(cls)
kw.update((k, obj.__dict__[k]) for k in names if k in obj.__dict__)
return cls(**kw)
def counter():
"""Return a threadsafe counter function."""
lock = threading.Lock()
counter = itertools.count(1L)
# avoid the 2to3 "next" transformation...
def _next():
lock.acquire()
try:
return counter.next()
finally:
lock.release()
return _next
def duck_type_collection(specimen, default=None):
"""Given an instance or class, guess if it is or is acting as one of
the basic collection types: list, set and dict. If the __emulates__
property is present, return that preferentially.
"""
if hasattr(specimen, '__emulates__'):
# canonicalize set vs sets.Set to a standard: the builtin set
if (specimen.__emulates__ is not None and
issubclass(specimen.__emulates__, set_types)):
return set
else:
return specimen.__emulates__
isa = isinstance(specimen, type) and issubclass or isinstance
if isa(specimen, list):
return list
elif isa(specimen, set_types):
return set
elif isa(specimen, dict):
return dict
if hasattr(specimen, 'append'):
return list
elif hasattr(specimen, 'add'):
return set
elif hasattr(specimen, 'set'):
return dict
else:
return default
def assert_arg_type(arg, argtype, name):
if isinstance(arg, argtype):
return arg
else:
if isinstance(argtype, tuple):
raise exc.ArgumentError(
"Argument '%s' is expected to be one of type %s, got '%s'" %
(name, ' or '.join("'%s'" % a for a in argtype), type(arg)))
else:
raise exc.ArgumentError(
"Argument '%s' is expected to be of type '%s', got '%s'" %
(name, argtype, type(arg)))
def dictlike_iteritems(dictlike):
"""Return a (key, value) iterator for almost any dict-like object."""
# Py3K
#if hasattr(dictlike, 'items'):
# return dictlike.items()
# Py2K
if hasattr(dictlike, 'iteritems'):
return dictlike.iteritems()
elif hasattr(dictlike, 'items'):
return iter(dictlike.items())
# end Py2K
getter = getattr(dictlike, '__getitem__', getattr(dictlike, 'get', None))
if getter is None:
raise TypeError(
"Object '%r' is not dict-like" % dictlike)
if hasattr(dictlike, 'iterkeys'):
def iterator():
for key in dictlike.iterkeys():
yield key, getter(key)
return iterator()
elif hasattr(dictlike, 'keys'):
return iter((key, getter(key)) for key in dictlike.keys())
else:
raise TypeError(
"Object '%r' is not dict-like" % dictlike)
class classproperty(property):
"""A decorator that behaves like @property except that operates
on classes rather than instances.
The decorator is currently special when using the declarative
module, but note that the
:class:`~.sqlalchemy.ext.declarative.declared_attr`
decorator should be used for this purpose with declarative.
"""
def __init__(self, fget, *arg, **kw):
super(classproperty, self).__init__(fget, *arg, **kw)
self.__doc__ = fget.__doc__
def __get__(desc, self, cls):
return desc.fget(cls)
class _symbol(object):
def __init__(self, name, doc=None):
"""Construct a new named symbol."""
assert isinstance(name, str)
self.name = name
if doc:
self.__doc__ = doc
def __reduce__(self):
return symbol, (self.name,)
def __repr__(self):
return "<symbol '%s>" % self.name
_symbol.__name__ = 'symbol'
class symbol(object):
"""A constant symbol.
>>> symbol('foo') is symbol('foo')
True
>>> symbol('foo')
<symbol 'foo>
A slight refinement of the MAGICCOOKIE=object() pattern. The primary
advantage of symbol() is its repr(). They are also singletons.
Repeated calls of symbol('name') will all return the same instance.
The optional ``doc`` argument assigns to ``__doc__``. This
is strictly so that Sphinx autoattr picks up the docstring we want
(it doesn't appear to pick up the in-module docstring if the datamember
is in a different module - autoattribute also blows up completely).
If Sphinx fixes/improves this then we would no longer need
``doc`` here.
"""
symbols = {}
_lock = threading.Lock()
def __new__(cls, name, doc=None):
cls._lock.acquire()
try:
sym = cls.symbols.get(name)
if sym is None:
cls.symbols[name] = sym = _symbol(name, doc)
return sym
finally:
symbol._lock.release()
_creation_order = 1
def set_creation_order(instance):
"""Assign a '_creation_order' sequence to the given instance.
This allows multiple instances to be sorted in order of creation
(typically within a single thread; the counter is not particularly
threadsafe).
"""
global _creation_order
instance._creation_order = _creation_order
_creation_order +=1
def warn_exception(func, *args, **kwargs):
"""executes the given function, catches all exceptions and converts to a warning."""
try:
return func(*args, **kwargs)
except:
warn("%s('%s') ignored" % sys.exc_info()[0:2])
def warn(msg, stacklevel=3):
"""Issue a warning.
If msg is a string, :class:`.exc.SAWarning` is used as
the category.
.. note::
This function is swapped out when the test suite
runs, with a compatible version that uses
warnings.warn_explicit, so that the warnings registry can
be controlled.
"""
if isinstance(msg, basestring):
warnings.warn(msg, exc.SAWarning, stacklevel=stacklevel)
else:
warnings.warn(msg, stacklevel=stacklevel)
_SQLA_RE = re.compile(r'sqlalchemy/([a-z_]+/){0,2}[a-z_]+\.py')
_UNITTEST_RE = re.compile(r'unit(?:2|test2?/)')
def chop_traceback(tb, exclude_prefix=_UNITTEST_RE, exclude_suffix=_SQLA_RE):
"""Chop extraneous lines off beginning and end of a traceback.
:param tb:
a list of traceback lines as returned by ``traceback.format_stack()``
:param exclude_prefix:
a regular expression object matching lines to skip at beginning of ``tb``
:param exclude_suffix:
a regular expression object matching lines to skip at end of ``tb``
"""
start = 0
end = len(tb) - 1
while start <= end and exclude_prefix.search(tb[start]):
start += 1
while start <= end and exclude_suffix.search(tb[end]):
end -= 1
return tb[start:end+1]
NoneType = type(None)
+191
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@@ -0,0 +1,191 @@
# util/queue.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""An adaptation of Py2.3/2.4's Queue module which supports reentrant
behavior, using RLock instead of Lock for its mutex object.
This is to support the connection pool's usage of weakref callbacks to return
connections to the underlying Queue, which can in extremely
rare cases be invoked within the ``get()`` method of the Queue itself,
producing a ``put()`` inside the ``get()`` and therefore a reentrant
condition."""
from collections import deque
from time import time as _time
from sqlalchemy.util import threading
__all__ = ['Empty', 'Full', 'Queue']
class Empty(Exception):
"Exception raised by Queue.get(block=0)/get_nowait()."
pass
class Full(Exception):
"Exception raised by Queue.put(block=0)/put_nowait()."
pass
class Queue:
def __init__(self, maxsize=0):
"""Initialize a queue object with a given maximum size.
If `maxsize` is <= 0, the queue size is infinite.
"""
self._init(maxsize)
# mutex must be held whenever the queue is mutating. All methods
# that acquire mutex must release it before returning. mutex
# is shared between the two conditions, so acquiring and
# releasing the conditions also acquires and releases mutex.
self.mutex = threading.RLock()
# Notify not_empty whenever an item is added to the queue; a
# thread waiting to get is notified then.
self.not_empty = threading.Condition(self.mutex)
# Notify not_full whenever an item is removed from the queue;
# a thread waiting to put is notified then.
self.not_full = threading.Condition(self.mutex)
def qsize(self):
"""Return the approximate size of the queue (not reliable!)."""
self.mutex.acquire()
n = self._qsize()
self.mutex.release()
return n
def empty(self):
"""Return True if the queue is empty, False otherwise (not
reliable!)."""
self.mutex.acquire()
n = self._empty()
self.mutex.release()
return n
def full(self):
"""Return True if the queue is full, False otherwise (not
reliable!)."""
self.mutex.acquire()
n = self._full()
self.mutex.release()
return n
def put(self, item, block=True, timeout=None):
"""Put an item into the queue.
If optional args `block` is True and `timeout` is None (the
default), block if necessary until a free slot is
available. If `timeout` is a positive number, it blocks at
most `timeout` seconds and raises the ``Full`` exception if no
free slot was available within that time. Otherwise (`block`
is false), put an item on the queue if a free slot is
immediately available, else raise the ``Full`` exception
(`timeout` is ignored in that case).
"""
self.not_full.acquire()
try:
if not block:
if self._full():
raise Full
elif timeout is None:
while self._full():
self.not_full.wait()
else:
if timeout < 0:
raise ValueError("'timeout' must be a positive number")
endtime = _time() + timeout
while self._full():
remaining = endtime - _time()
if remaining <= 0.0:
raise Full
self.not_full.wait(remaining)
self._put(item)
self.not_empty.notify()
finally:
self.not_full.release()
def put_nowait(self, item):
"""Put an item into the queue without blocking.
Only enqueue the item if a free slot is immediately available.
Otherwise raise the ``Full`` exception.
"""
return self.put(item, False)
def get(self, block=True, timeout=None):
"""Remove and return an item from the queue.
If optional args `block` is True and `timeout` is None (the
default), block if necessary until an item is available. If
`timeout` is a positive number, it blocks at most `timeout`
seconds and raises the ``Empty`` exception if no item was
available within that time. Otherwise (`block` is false),
return an item if one is immediately available, else raise the
``Empty`` exception (`timeout` is ignored in that case).
"""
self.not_empty.acquire()
try:
if not block:
if self._empty():
raise Empty
elif timeout is None:
while self._empty():
self.not_empty.wait()
else:
if timeout < 0:
raise ValueError("'timeout' must be a positive number")
endtime = _time() + timeout
while self._empty():
remaining = endtime - _time()
if remaining <= 0.0:
raise Empty
self.not_empty.wait(remaining)
item = self._get()
self.not_full.notify()
return item
finally:
self.not_empty.release()
def get_nowait(self):
"""Remove and return an item from the queue without blocking.
Only get an item if one is immediately available. Otherwise
raise the ``Empty`` exception.
"""
return self.get(False)
# Override these methods to implement other queue organizations
# (e.g. stack or priority queue).
# These will only be called with appropriate locks held
# Initialize the queue representation
def _init(self, maxsize):
self.maxsize = maxsize
self.queue = deque()
def _qsize(self):
return len(self.queue)
# Check whether the queue is empty
def _empty(self):
return not self.queue
# Check whether the queue is full
def _full(self):
return self.maxsize > 0 and len(self.queue) == self.maxsize
# Put a new item in the queue
def _put(self, item):
self.queue.append(item)
# Get an item from the queue
def _get(self):
return self.queue.popleft()
+92
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@@ -0,0 +1,92 @@
# util/topological.py
# Copyright (C) 2005-2012 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Topological sorting algorithms."""
from sqlalchemy.exc import CircularDependencyError
from sqlalchemy import util
__all__ = ['sort', 'sort_as_subsets', 'find_cycles']
def sort_as_subsets(tuples, allitems):
edges = util.defaultdict(set)
for parent, child in tuples:
edges[child].add(parent)
todo = set(allitems)
while todo:
output = set()
for node in list(todo):
if not todo.intersection(edges[node]):
output.add(node)
if not output:
raise CircularDependencyError(
"Circular dependency detected.",
find_cycles(tuples, allitems),
_gen_edges(edges)
)
todo.difference_update(output)
yield output
def sort(tuples, allitems):
"""sort the given list of items by dependency.
'tuples' is a list of tuples representing a partial ordering.
"""
for set_ in sort_as_subsets(tuples, allitems):
for s in set_:
yield s
def find_cycles(tuples, allitems):
# straight from gvr with some mods
edges = util.defaultdict(set)
for parent, child in tuples:
edges[parent].add(child)
nodes_to_test = set(edges)
output = set()
# we'd like to find all nodes that are
# involved in cycles, so we do the full
# pass through the whole thing for each
# node in the original list.
# we can go just through parent edge nodes.
# if a node is only a child and never a parent,
# by definition it can't be part of a cycle. same
# if it's not in the edges at all.
for node in nodes_to_test:
stack = [node]
todo = nodes_to_test.difference(stack)
while stack:
top = stack[-1]
for node in edges[top]:
if node in stack:
cyc = stack[stack.index(node):]
todo.difference_update(cyc)
output.update(cyc)
if node in todo:
stack.append(node)
todo.remove(node)
break
else:
node = stack.pop()
return output
def _gen_edges(edges):
return set([
(right, left)
for left in edges
for right in edges[left]
])