mirror of
https://github.com/sqlmapproject/sqlmap.git
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477 lines
14 KiB
Python
477 lines
14 KiB
Python
#!/usr/bin/env python
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# -*- mode:python; tab-width: 2; coding: utf-8 -*-
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"""Partially backported python ABC classes"""
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from __future__ import absolute_import
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import sys
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import types
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if sys.version_info > (2, 6):
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raise ImportError("Use native ABC classes istead of this one.")
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# Instance of old-style class
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class _C:
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pass
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_InstanceType = type(_C())
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def abstractmethod(funcobj):
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"""A decorator indicating abstract methods.
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Requires that the metaclass is ABCMeta or derived from it. A
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class that has a metaclass derived from ABCMeta cannot be
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instantiated unless all of its abstract methods are overridden.
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The abstract methods can be called using any of the normal
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'super' call mechanisms.
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Usage:
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class C:
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__metaclass__ = ABCMeta
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@abstractmethod
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def my_abstract_method(self, ...):
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...
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"""
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funcobj.__isabstractmethod__ = True
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return funcobj
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class ABCMeta(type):
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"""Metaclass for defining Abstract Base Classes (ABCs).
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Use this metaclass to create an ABC. An ABC can be subclassed
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directly, and then acts as a mix-in class. You can also register
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unrelated concrete classes (even built-in classes) and unrelated
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ABCs as 'virtual subclasses' -- these and their descendants will
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be considered subclasses of the registering ABC by the built-in
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issubclass() function, but the registering ABC won't show up in
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their MRO (Method Resolution Order) nor will method
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implementations defined by the registering ABC be callable (not
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even via super()).
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"""
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# A global counter that is incremented each time a class is
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# registered as a virtual subclass of anything. It forces the
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# negative cache to be cleared before its next use.
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_abc_invalidation_counter = 0
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def __new__(mcls, name, bases, namespace):
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cls = super(ABCMeta, mcls).__new__(mcls, name, bases, namespace)
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# Compute set of abstract method names
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abstracts = set(name
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for name, value in namespace.items()
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if getattr(value, "__isabstractmethod__", False))
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for base in bases:
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for name in getattr(base, "__abstractmethods__", set()):
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value = getattr(cls, name, None)
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if getattr(value, "__isabstractmethod__", False):
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abstracts.add(name)
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cls.__abstractmethods__ = frozenset(abstracts)
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# Set up inheritance registry
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cls._abc_registry = set()
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cls._abc_cache = set()
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cls._abc_negative_cache = set()
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cls._abc_negative_cache_version = ABCMeta._abc_invalidation_counter
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return cls
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def register(cls, subclass):
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"""Register a virtual subclass of an ABC."""
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if not isinstance(subclass, (type, types.ClassType)):
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raise TypeError("Can only register classes")
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if issubclass(subclass, cls):
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return # Already a subclass
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# Subtle: test for cycles *after* testing for "already a subclass";
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# this means we allow X.register(X) and interpret it as a no-op.
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if issubclass(cls, subclass):
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# This would create a cycle, which is bad for the algorithm below
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raise RuntimeError("Refusing to create an inheritance cycle")
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cls._abc_registry.add(subclass)
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ABCMeta._abc_invalidation_counter += 1 # Invalidate negative cache
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def _dump_registry(cls, file=None):
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"""Debug helper to print the ABC registry."""
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print >> file, "Class: %s.%s" % (cls.__module__, cls.__name__)
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print >> file, "Inv.counter: %s" % ABCMeta._abc_invalidation_counter
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for name in sorted(cls.__dict__.keys()):
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if name.startswith("_abc_"):
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value = getattr(cls, name)
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print >> file, "%s: %r" % (name, value)
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def __instancecheck__(cls, instance):
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"""Override for isinstance(instance, cls)."""
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# Inline the cache checking when it's simple.
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subclass = getattr(instance, '__class__', None)
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if subclass in cls._abc_cache:
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return True
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subtype = type(instance)
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# Old-style instances
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if subtype is _InstanceType:
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subtype = subclass
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if subtype is subclass or subclass is None:
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if (cls._abc_negative_cache_version ==
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ABCMeta._abc_invalidation_counter and
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subtype in cls._abc_negative_cache):
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return False
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# Fall back to the subclass check.
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return cls.__subclasscheck__(subtype)
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return (cls.__subclasscheck__(subclass) or
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cls.__subclasscheck__(subtype))
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def __subclasscheck__(cls, subclass):
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"""Override for issubclass(subclass, cls)."""
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# Check cache
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if subclass in cls._abc_cache:
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return True
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# Check negative cache; may have to invalidate
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if cls._abc_negative_cache_version < ABCMeta._abc_invalidation_counter:
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# Invalidate the negative cache
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cls._abc_negative_cache = set()
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cls._abc_negative_cache_version = ABCMeta._abc_invalidation_counter
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elif subclass in cls._abc_negative_cache:
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return False
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# Check the subclass hook
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ok = cls.__subclasshook__(subclass)
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if ok is not NotImplemented:
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assert isinstance(ok, bool)
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if ok:
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cls._abc_cache.add(subclass)
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else:
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cls._abc_negative_cache.add(subclass)
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return ok
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# Check if it's a direct subclass
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if cls in getattr(subclass, '__mro__', ()):
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cls._abc_cache.add(subclass)
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return True
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# Check if it's a subclass of a registered class (recursive)
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for rcls in cls._abc_registry:
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if issubclass(subclass, rcls):
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cls._abc_cache.add(subclass)
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return True
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# Check if it's a subclass of a subclass (recursive)
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for scls in cls.__subclasses__():
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if issubclass(subclass, scls):
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cls._abc_cache.add(subclass)
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return True
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# No dice; update negative cache
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cls._abc_negative_cache.add(subclass)
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return False
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def _hasattr(C, attr):
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try:
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return any(attr in B.__dict__ for B in C.__mro__)
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except AttributeError:
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# Old-style class
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return hasattr(C, attr)
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class Sized:
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__metaclass__ = ABCMeta
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@abstractmethod
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def __len__(self):
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return 0
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@classmethod
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def __subclasshook__(cls, C):
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if cls is Sized:
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if _hasattr(C, "__len__"):
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return True
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return NotImplemented
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class Container:
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__metaclass__ = ABCMeta
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@abstractmethod
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def __contains__(self, x):
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return False
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@classmethod
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def __subclasshook__(cls, C):
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if cls is Container:
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if _hasattr(C, "__contains__"):
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return True
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return NotImplemented
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class Iterable:
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__metaclass__ = ABCMeta
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@abstractmethod
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def __iter__(self):
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while False:
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yield None
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@classmethod
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def __subclasshook__(cls, C):
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if cls is Iterable:
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if _hasattr(C, "__iter__"):
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return True
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return NotImplemented
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Iterable.register(str)
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class Set(Sized, Iterable, Container):
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"""A set is a finite, iterable container.
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This class provides concrete generic implementations of all
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methods except for __contains__, __iter__ and __len__.
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To override the comparisons (presumably for speed, as the
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semantics are fixed), all you have to do is redefine __le__ and
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then the other operations will automatically follow suit.
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"""
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def __le__(self, other):
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if not isinstance(other, Set):
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return NotImplemented
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if len(self) > len(other):
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return False
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for elem in self:
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if elem not in other:
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return False
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return True
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def __lt__(self, other):
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if not isinstance(other, Set):
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return NotImplemented
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return len(self) < len(other) and self.__le__(other)
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def __gt__(self, other):
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if not isinstance(other, Set):
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return NotImplemented
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return other < self
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def __ge__(self, other):
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if not isinstance(other, Set):
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return NotImplemented
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return other <= self
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def __eq__(self, other):
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if not isinstance(other, Set):
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return NotImplemented
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return len(self) == len(other) and self.__le__(other)
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def __ne__(self, other):
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return not (self == other)
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@classmethod
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def _from_iterable(cls, it):
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'''Construct an instance of the class from any iterable input.
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Must override this method if the class constructor signature
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does not accept an iterable for an input.
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'''
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return cls(it)
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def __and__(self, other):
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if not isinstance(other, Iterable):
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return NotImplemented
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return self._from_iterable(value for value in other if value in self)
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def isdisjoint(self, other):
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for value in other:
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if value in self:
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return False
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return True
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def __or__(self, other):
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if not isinstance(other, Iterable):
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return NotImplemented
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chain = (e for s in (self, other) for e in s)
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return self._from_iterable(chain)
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def __sub__(self, other):
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if not isinstance(other, Set):
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if not isinstance(other, Iterable):
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return NotImplemented
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other = self._from_iterable(other)
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return self._from_iterable(value for value in self
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if value not in other)
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def __xor__(self, other):
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if not isinstance(other, Set):
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if not isinstance(other, Iterable):
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return NotImplemented
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other = self._from_iterable(other)
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return (self - other) | (other - self)
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# Sets are not hashable by default, but subclasses can change this
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__hash__ = None
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def _hash(self):
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"""Compute the hash value of a set.
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Note that we don't define __hash__: not all sets are hashable.
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But if you define a hashable set type, its __hash__ should
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call this function.
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This must be compatible __eq__.
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All sets ought to compare equal if they contain the same
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elements, regardless of how they are implemented, and
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regardless of the order of the elements; so there's not much
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freedom for __eq__ or __hash__. We match the algorithm used
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by the built-in frozenset type.
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"""
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MAX = sys.maxint
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MASK = 2 * MAX + 1
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n = len(self)
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h = 1927868237 * (n + 1)
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h &= MASK
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for x in self:
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hx = hash(x)
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h ^= (hx ^ (hx << 16) ^ 89869747) * 3644798167
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h &= MASK
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h = h * 69069 + 907133923
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h &= MASK
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if h > MAX:
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h -= MASK + 1
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if h == -1:
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h = 590923713
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return h
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Set.register(frozenset)
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class MutableSet(Set):
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@abstractmethod
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def add(self, value):
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"""Add an element."""
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raise NotImplementedError
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@abstractmethod
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def discard(self, value):
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"""Remove an element. Do not raise an exception if absent."""
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raise NotImplementedError
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def remove(self, value):
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"""Remove an element. If not a member, raise a KeyError."""
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if value not in self:
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raise KeyError(value)
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self.discard(value)
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def pop(self):
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"""Return the popped value. Raise KeyError if empty."""
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it = iter(self)
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try:
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value = it.next()
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except StopIteration:
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raise KeyError
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self.discard(value)
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return value
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def clear(self):
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"""This is slow (creates N new iterators!) but effective."""
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try:
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while True:
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self.pop()
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except KeyError:
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pass
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def __ior__(self, it):
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for value in it:
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self.add(value)
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return self
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def __iand__(self, it):
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for value in (self - it):
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self.discard(value)
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return self
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def __ixor__(self, it):
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if not isinstance(it, Set):
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it = self._from_iterable(it)
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for value in it:
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if value in self:
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self.discard(value)
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else:
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self.add(value)
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return self
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def __isub__(self, it):
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for value in it:
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self.discard(value)
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return self
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MutableSet.register(set)
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class OrderedSet(MutableSet):
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def __init__(self, iterable=None):
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self.end = end = []
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end += [None, end, end] # sentinel node for doubly linked list
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self.map = {} # key --> [key, prev, next]
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if iterable is not None:
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self |= iterable
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def __len__(self):
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return len(self.map)
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def __contains__(self, key):
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return key in self.map
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def __getitem__(self, key):
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return list(self)[key]
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def add(self, key):
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if key not in self.map:
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end = self.end
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curr = end[PREV]
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curr[NEXT] = end[PREV] = self.map[key] = [key, curr, end]
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def discard(self, key):
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if key in self.map:
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key, prev, next = self.map.pop(key)
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prev[NEXT] = next
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next[PREV] = prev
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def __iter__(self):
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end = self.end
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curr = end[NEXT]
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while curr is not end:
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yield curr[KEY]
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curr = curr[NEXT]
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def __reversed__(self):
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end = self.end
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curr = end[PREV]
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while curr is not end:
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yield curr[KEY]
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curr = curr[PREV]
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def pop(self, last=True):
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if not self:
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raise KeyError('set is empty')
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key = reversed(self).next() if last else iter(self).next()
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self.discard(key)
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return key
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def __repr__(self):
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if not self:
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return '%s()' % (self.__class__.__name__,)
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return '%s(%r)' % (self.__class__.__name__, list(self))
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def __eq__(self, other):
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if isinstance(other, OrderedSet):
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return len(self) == len(other) and list(self) == list(other)
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return set(self) == set(other)
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def __del__(self):
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if all([KEY, PREV, NEXT]):
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self.clear() # remove circular references
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if __name__ == '__main__':
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print(OrderedSet('abracadaba'))
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print(OrderedSet('simsalabim'))
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