mirror of
https://github.com/ziirish/burp-ui.git
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786 lines
23 KiB
Python
786 lines
23 KiB
Python
# -*- coding: utf-8 -*-
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# This file contains pieces of the werkzeug datastructures
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"""
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werkzeug.datastructures
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~~~~~~~~~~~~~~~~~~~~~~~
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This module provides mixins and classes with an immutable interface.
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:copyright: (c) 2014 by the Werkzeug Team, see AUTHORS for more details.
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:license: BSD, see LICENSE for more details.
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"""
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from copy import deepcopy
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from itertools import repeat
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def is_immutable(self):
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raise TypeError("%r objects are immutable" % self.__class__.__name__)
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def iter_multi_items(mapping):
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"""Iterates over the items of a mapping yielding keys and values
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without dropping any from more complex structures.
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"""
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if isinstance(mapping, MultiDict):
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for item in mapping.items(multi=True):
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yield item
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elif isinstance(mapping, dict):
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for key, value in mapping.items():
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if isinstance(value, (tuple, list)):
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for value in value:
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yield key, value
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else:
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yield key, value
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else:
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for item in mapping:
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yield item
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def native_itermethods(names):
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return lambda x: x
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class _Missing(object):
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def __repr__(self):
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return "no value"
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def __reduce__(self):
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return "_missing"
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_missing = _Missing()
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class ImmutableDictMixin(object):
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"""Makes a :class:`dict` immutable.
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.. versionadded:: 0.5
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:private:
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"""
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_hash_cache = None
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@classmethod
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def fromkeys(cls, keys, value=None):
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instance = super(cls, cls).__new__(cls)
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instance.__init__(zip(keys, repeat(value)))
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return instance
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def __reduce_ex__(self, protocol):
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return type(self), (dict(self),)
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def _iter_hashitems(self):
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return self.items()
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def __hash__(self):
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if self._hash_cache is not None:
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return self._hash_cache
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rv = self._hash_cache = hash(frozenset(self._iter_hashitems()))
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return rv
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def setdefault(self, key, default=None):
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is_immutable(self)
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def update(self, *args, **kwargs):
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is_immutable(self)
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def pop(self, key, default=None):
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is_immutable(self)
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def popitem(self):
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is_immutable(self)
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def __setitem__(self, key, value):
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is_immutable(self)
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def __delitem__(self, key):
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is_immutable(self)
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def clear(self):
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is_immutable(self)
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class ImmutableMultiDictMixin(ImmutableDictMixin):
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"""Makes a :class:`MultiDict` immutable.
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.. versionadded:: 0.5
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:private:
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"""
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def __reduce_ex__(self, protocol):
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return type(self), (list(self.items(multi=True)),)
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def _iter_hashitems(self):
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return self.items(multi=True)
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def add(self, key, value):
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is_immutable(self)
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def popitemlist(self):
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is_immutable(self)
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def poplist(self, key):
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is_immutable(self)
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def setlist(self, key, new_list):
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is_immutable(self)
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def setlistdefault(self, key, default_list=None):
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is_immutable(self)
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class TypeConversionDict(dict):
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"""Works like a regular dict but the :meth:`get` method can perform
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type conversions. :class:`MultiDict` and :class:`CombinedMultiDict`
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are subclasses of this class and provide the same feature.
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.. versionadded:: 0.5
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"""
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def get(self, key, default=None, type=None):
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"""Return the default value if the requested data doesn't exist.
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If `type` is provided and is a callable it should convert the value,
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return it or raise a :exc:`ValueError` if that is not possible. In
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this case the function will return the default as if the value was not
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found:
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>>> d = TypeConversionDict(foo='42', bar='blub')
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>>> d.get('foo', type=int)
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42
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>>> d.get('bar', -1, type=int)
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-1
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:param key: The key to be looked up.
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:param default: The default value to be returned if the key can't
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be looked up. If not further specified `None` is
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returned.
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:param type: A callable that is used to cast the value in the
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:class:`MultiDict`. If a :exc:`ValueError` is raised
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by this callable the default value is returned.
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"""
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try:
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rv = self[key]
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if type is not None:
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rv = type(rv)
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except (KeyError, ValueError):
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rv = default
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return rv
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class ViewItems(object):
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def __init__(self, multi_dict, method, repr_name, *a, **kw):
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self.__multi_dict = multi_dict
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self.__method = method
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self.__repr_name = repr_name
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self.__a = a
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self.__kw = kw
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def __get_items(self):
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return getattr(self.__multi_dict, self.__method)(*self.__a, **self.__kw)
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def __repr__(self):
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return "%s(%r)" % (self.__repr_name, list(self.__get_items()))
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def __iter__(self):
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return iter(self.__get_items())
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@native_itermethods(["keys", "values", "items", "lists", "listvalues"])
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class MultiDict(TypeConversionDict):
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"""A :class:`MultiDict` is a dictionary subclass customized to deal with
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multiple values for the same key which is for example used by the parsing
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functions in the wrappers. This is necessary because some HTML form
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elements pass multiple values for the same key.
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:class:`MultiDict` implements all standard dictionary methods.
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Internally, it saves all values for a key as a list, but the standard dict
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access methods will only return the first value for a key. If you want to
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gain access to the other values, too, you have to use the `list` methods as
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explained below.
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Basic Usage:
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>>> d = MultiDict([('a', 'b'), ('a', 'c')])
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>>> d
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MultiDict([('a', 'b'), ('a', 'c')])
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>>> d['a']
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'b'
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>>> d.getlist('a')
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['b', 'c']
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>>> 'a' in d
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True
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It behaves like a normal dict thus all dict functions will only return the
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first value when multiple values for one key are found.
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From Werkzeug 0.3 onwards, the `KeyError` raised by this class is also a
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subclass of the :exc:`~exceptions.BadRequest` HTTP exception and will
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render a page for a ``400 BAD REQUEST`` if caught in a catch-all for HTTP
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exceptions.
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A :class:`MultiDict` can be constructed from an iterable of
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``(key, value)`` tuples, a dict, a :class:`MultiDict` or from Werkzeug 0.2
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onwards some keyword parameters.
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:param mapping: the initial value for the :class:`MultiDict`. Either a
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regular dict, an iterable of ``(key, value)`` tuples
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or `None`.
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"""
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def __init__(self, mapping=None):
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if isinstance(mapping, MultiDict):
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dict.__init__(self, ((k, l[:]) for k, l in mapping.lists()))
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elif isinstance(mapping, dict):
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tmp = {}
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for key, value in mapping.items():
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if isinstance(value, (tuple, list)):
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if len(value) == 0:
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continue
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value = list(value)
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else:
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value = [value]
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tmp[key] = value
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dict.__init__(self, tmp)
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else:
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tmp = {}
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for key, value in mapping or ():
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tmp.setdefault(key, []).append(value)
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dict.__init__(self, tmp)
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def __getstate__(self):
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return dict(self.lists())
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def __setstate__(self, value):
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dict.clear(self)
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dict.update(self, value)
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def __getitem__(self, key):
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"""Return the first data value for this key;
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raises KeyError if not found.
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:param key: The key to be looked up.
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:raise KeyError: if the key does not exist.
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"""
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if key in self:
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lst = dict.__getitem__(self, key)
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if len(lst) > 0:
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return lst[0]
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raise KeyError(key)
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def __setitem__(self, key, value):
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"""Like :meth:`add` but removes an existing key first.
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:param key: the key for the value.
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:param value: the value to set.
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"""
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dict.__setitem__(self, key, [value])
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def add(self, key, value):
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"""Adds a new value for the key.
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.. versionadded:: 0.6
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:param key: the key for the value.
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:param value: the value to add.
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"""
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dict.setdefault(self, key, []).append(value)
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def getlist(self, key, type=None):
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"""Return the list of items for a given key. If that key is not in the
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`MultiDict`, the return value will be an empty list. Just as `get`
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`getlist` accepts a `type` parameter. All items will be converted
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with the callable defined there.
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:param key: The key to be looked up.
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:param type: A callable that is used to cast the value in the
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:class:`MultiDict`. If a :exc:`ValueError` is raised
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by this callable the value will be removed from the list.
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:return: a :class:`list` of all the values for the key.
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"""
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try:
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rv = dict.__getitem__(self, key)
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except KeyError:
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return []
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if type is None:
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return list(rv)
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result = []
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for item in rv:
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try:
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result.append(type(item))
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except ValueError:
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pass
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return result
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def setlist(self, key, new_list):
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"""Remove the old values for a key and add new ones. Note that the list
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you pass the values in will be shallow-copied before it is inserted in
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the dictionary.
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>>> d = MultiDict()
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>>> d.setlist('foo', ['1', '2'])
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>>> d['foo']
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'1'
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>>> d.getlist('foo')
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['1', '2']
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:param key: The key for which the values are set.
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:param new_list: An iterable with the new values for the key. Old values
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are removed first.
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"""
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dict.__setitem__(self, key, list(new_list))
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def setdefault(self, key, default=None):
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"""Returns the value for the key if it is in the dict, otherwise it
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returns `default` and sets that value for `key`.
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:param key: The key to be looked up.
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:param default: The default value to be returned if the key is not
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in the dict. If not further specified it's `None`.
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"""
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if key not in self:
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self[key] = default
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else:
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default = self[key]
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return default
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def setlistdefault(self, key, default_list=None):
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"""Like `setdefault` but sets multiple values. The list returned
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is not a copy, but the list that is actually used internally. This
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means that you can put new values into the dict by appending items
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to the list:
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>>> d = MultiDict({"foo": 1})
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>>> d.setlistdefault("foo").extend([2, 3])
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>>> d.getlist("foo")
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[1, 2, 3]
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:param key: The key to be looked up.
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:param default: An iterable of default values. It is either copied
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(in case it was a list) or converted into a list
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before returned.
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:return: a :class:`list`
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"""
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if key not in self:
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default_list = list(default_list or ())
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dict.__setitem__(self, key, default_list)
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else:
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default_list = dict.__getitem__(self, key)
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return default_list
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def items(self, multi=False):
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"""Return an iterator of ``(key, value)`` pairs.
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:param multi: If set to `True` the iterator returned will have a pair
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for each value of each key. Otherwise it will only
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contain pairs for the first value of each key.
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"""
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for key, values in dict.items(self):
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if multi:
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for value in values:
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yield key, value
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else:
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yield key, values[0]
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def lists(self):
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"""Return a list of ``(key, values)`` pairs, where values is the list
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of all values associated with the key."""
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for key, values in dict.items(self):
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yield key, list(values)
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def keys(self):
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return dict.keys(self)
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__iter__ = keys
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def values(self):
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"""Returns an iterator of the first value on every key's value list."""
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for values in dict.values(self):
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yield values[0]
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def listvalues(self):
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"""Return an iterator of all values associated with a key. Zipping
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:meth:`keys` and this is the same as calling :meth:`lists`:
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>>> d = MultiDict({"foo": [1, 2, 3]})
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>>> zip(d.keys(), d.listvalues()) == d.lists()
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True
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"""
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return dict.values(self)
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def copy(self):
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"""Return a shallow copy of this object."""
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return self.__class__(self)
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def deepcopy(self, memo=None):
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"""Return a deep copy of this object."""
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return self.__class__(deepcopy(self.to_dict(flat=False), memo))
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def to_dict(self, flat=True):
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"""Return the contents as regular dict. If `flat` is `True` the
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returned dict will only have the first item present, if `flat` is
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`False` all values will be returned as lists.
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:param flat: If set to `False` the dict returned will have lists
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with all the values in it. Otherwise it will only
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contain the first value for each key.
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:return: a :class:`dict`
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"""
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if flat:
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return dict(self.items())
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return dict(self.lists())
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def update(self, other_dict):
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"""update() extends rather than replaces existing key lists:
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>>> a = MultiDict({'x': 1})
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>>> b = MultiDict({'x': 2, 'y': 3})
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>>> a.update(b)
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>>> a
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MultiDict([('y', 3), ('x', 1), ('x', 2)])
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If the value list for a key in ``other_dict`` is empty, no new values
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will be added to the dict and the key will not be created:
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>>> x = {'empty_list': []}
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>>> y = MultiDict()
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>>> y.update(x)
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>>> y
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MultiDict([])
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"""
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for key, value in iter_multi_items(other_dict):
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MultiDict.add(self, key, value)
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def pop(self, key, default=_missing):
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"""Pop the first item for a list on the dict. Afterwards the
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key is removed from the dict, so additional values are discarded:
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>>> d = MultiDict({"foo": [1, 2, 3]})
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>>> d.pop("foo")
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1
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>>> "foo" in d
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False
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:param key: the key to pop.
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:param default: if provided the value to return if the key was
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not in the dictionary.
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"""
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try:
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lst = dict.pop(self, key)
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if len(lst) == 0:
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raise KeyError()
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return lst[0]
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except KeyError as e:
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if default is not _missing:
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return default
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raise e
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def popitem(self):
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"""Pop an item from the dict."""
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item = dict.popitem(self)
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if len(item[1]) == 0:
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raise KeyError()
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return (item[0], item[1][0])
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def poplist(self, key):
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"""Pop the list for a key from the dict. If the key is not in the dict
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an empty list is returned.
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.. versionchanged:: 0.5
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If the key does no longer exist a list is returned instead of
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raising an error.
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"""
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return dict.pop(self, key, [])
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def popitemlist(self):
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"""Pop a ``(key, list)`` tuple from the dict."""
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return dict.popitem(self)
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def __copy__(self):
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return self.copy()
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def __deepcopy__(self, memo):
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return self.deepcopy(memo=memo)
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def __repr__(self):
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return "%s(%r)" % (self.__class__.__name__, list(self.items(multi=True)))
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|
|
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class _omd_bucket(object):
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"""Wraps values in the :class:`OrderedMultiDict`. This makes it
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possible to keep an order over multiple different keys. It requires
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a lot of extra memory and slows down access a lot, but makes it
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possible to access elements in O(1) and iterate in O(n).
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"""
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__slots__ = ("prev", "key", "value", "next")
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def __init__(self, omd, key, value):
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self.prev = omd._last_bucket
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self.key = key
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self.value = value
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self.next = None
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if omd._first_bucket is None:
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omd._first_bucket = self
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if omd._last_bucket is not None:
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omd._last_bucket.next = self
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omd._last_bucket = self
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def unlink(self, omd):
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if self.prev:
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self.prev.next = self.next
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if self.next:
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self.next.prev = self.prev
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if omd._first_bucket is self:
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omd._first_bucket = self.next
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if omd._last_bucket is self:
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omd._last_bucket = self.prev
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@native_itermethods(["keys", "values", "items", "lists", "listvalues"])
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class OrderedMultiDict(MultiDict):
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|
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"""Works like a regular :class:`MultiDict` but preserves the
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order of the fields. To convert the ordered multi dict into a
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list you can use the :meth:`items` method and pass it ``multi=True``.
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|
In general an :class:`OrderedMultiDict` is an order of magnitude
|
|
slower than a :class:`MultiDict`.
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|
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|
.. admonition:: note
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|
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|
Due to a limitation in Python you cannot convert an ordered
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|
multi dict into a regular dict by using ``dict(multidict)``.
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Instead you have to use the :meth:`to_dict` method, otherwise
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the internal bucket objects are exposed.
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"""
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def __init__(self, mapping=None):
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dict.__init__(self)
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self._first_bucket = self._last_bucket = None
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if mapping is not None:
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OrderedMultiDict.update(self, mapping)
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|
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def __eq__(self, other):
|
|
if not isinstance(other, MultiDict):
|
|
return NotImplemented
|
|
if isinstance(other, OrderedMultiDict):
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|
iter1 = self.items(multi=True)
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|
iter2 = other.items(multi=True)
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|
try:
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|
for k1, v1 in iter1:
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k2, v2 = next(iter2)
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if k1 != k2 or v1 != v2:
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|
return False
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except StopIteration:
|
|
return False
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|
try:
|
|
next(iter2)
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|
except StopIteration:
|
|
return True
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|
return False
|
|
if len(self) != len(other):
|
|
return False
|
|
for key, values in self.lists():
|
|
if other.getlist(key) != values:
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|
return False
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|
return True
|
|
|
|
__hash__ = None
|
|
|
|
def __ne__(self, other):
|
|
return not self.__eq__(other)
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|
|
|
def __reduce_ex__(self, protocol):
|
|
return type(self), (list(self.items(multi=True)),)
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|
|
|
def __getstate__(self):
|
|
return list(self.items(multi=True))
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|
|
|
def __setstate__(self, values):
|
|
dict.clear(self)
|
|
for key, value in values:
|
|
self.add(key, value)
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|
|
|
def __getitem__(self, key):
|
|
if key in self:
|
|
return dict.__getitem__(self, key)[0].value
|
|
raise KeyError(key)
|
|
|
|
def __setitem__(self, key, value):
|
|
self.poplist(key)
|
|
self.add(key, value)
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|
|
|
def __delitem__(self, key):
|
|
self.pop(key)
|
|
|
|
def keys(self):
|
|
return (key for key, value in self.items())
|
|
|
|
__iter__ = keys
|
|
|
|
def values(self):
|
|
return (value for key, value in self.items())
|
|
|
|
def items(self, multi=False):
|
|
ptr = self._first_bucket
|
|
if multi:
|
|
while ptr is not None:
|
|
yield ptr.key, ptr.value
|
|
ptr = ptr.next
|
|
else:
|
|
returned_keys = set()
|
|
while ptr is not None:
|
|
if ptr.key not in returned_keys:
|
|
returned_keys.add(ptr.key)
|
|
yield ptr.key, ptr.value
|
|
ptr = ptr.next
|
|
|
|
def lists(self):
|
|
returned_keys = set()
|
|
ptr = self._first_bucket
|
|
while ptr is not None:
|
|
if ptr.key not in returned_keys:
|
|
yield ptr.key, self.getlist(ptr.key)
|
|
returned_keys.add(ptr.key)
|
|
ptr = ptr.next
|
|
|
|
def listvalues(self):
|
|
for key, values in self.lists():
|
|
yield values
|
|
|
|
def add(self, key, value):
|
|
dict.setdefault(self, key, []).append(_omd_bucket(self, key, value))
|
|
|
|
def getlist(self, key, type=None):
|
|
try:
|
|
rv = dict.__getitem__(self, key)
|
|
except KeyError:
|
|
return []
|
|
if type is None:
|
|
return [x.value for x in rv]
|
|
result = []
|
|
for item in rv:
|
|
try:
|
|
result.append(type(item.value))
|
|
except ValueError:
|
|
pass
|
|
return result
|
|
|
|
def setlist(self, key, new_list):
|
|
self.poplist(key)
|
|
for value in new_list:
|
|
self.add(key, value)
|
|
|
|
def setlistdefault(self, key, default_list=None):
|
|
raise TypeError("setlistdefault is unsupported for " "ordered multi dicts")
|
|
|
|
def update(self, mapping):
|
|
for key, value in iter_multi_items(mapping):
|
|
OrderedMultiDict.add(self, key, value)
|
|
|
|
def poplist(self, key):
|
|
buckets = dict.pop(self, key, ())
|
|
for bucket in buckets:
|
|
bucket.unlink(self)
|
|
return [x.value for x in buckets]
|
|
|
|
def pop(self, key, default=_missing):
|
|
try:
|
|
buckets = dict.pop(self, key)
|
|
except KeyError as e:
|
|
if default is not _missing:
|
|
return default
|
|
raise e
|
|
for bucket in buckets:
|
|
bucket.unlink(self)
|
|
return buckets[0].value
|
|
|
|
def popitem(self):
|
|
key, buckets = dict.popitem(self)
|
|
for bucket in buckets:
|
|
bucket.unlink(self)
|
|
return key, buckets[0].value
|
|
|
|
def popitemlist(self):
|
|
key, buckets = dict.popitem(self)
|
|
for bucket in buckets:
|
|
bucket.unlink(self)
|
|
return key, [x.value for x in buckets]
|
|
|
|
|
|
class ImmutableDict(ImmutableDictMixin, dict):
|
|
|
|
"""An immutable :class:`dict`.
|
|
|
|
.. versionadded:: 0.5
|
|
"""
|
|
|
|
def __repr__(self):
|
|
return "%s(%s)" % (
|
|
self.__class__.__name__,
|
|
dict.__repr__(self),
|
|
)
|
|
|
|
def copy(self):
|
|
"""Return a shallow mutable copy of this object. Keep in mind that
|
|
the standard library's :func:`copy` function is a no-op for this class
|
|
like for any other python immutable type (eg: :class:`tuple`).
|
|
"""
|
|
return dict(self)
|
|
|
|
def __copy__(self):
|
|
return self
|
|
|
|
|
|
class ImmutableMultiDict(ImmutableMultiDictMixin, MultiDict):
|
|
|
|
"""An immutable :class:`MultiDict`.
|
|
|
|
.. versionadded:: 0.5
|
|
"""
|
|
|
|
def copy(self):
|
|
"""Return a shallow mutable copy of this object. Keep in mind that
|
|
the standard library's :func:`copy` function is a no-op for this class
|
|
like for any other python immutable type (eg: :class:`tuple`).
|
|
"""
|
|
return MultiDict(self)
|
|
|
|
def __copy__(self):
|
|
return self
|
|
|
|
|
|
class ImmutableOrderedMultiDict(ImmutableMultiDictMixin, OrderedMultiDict):
|
|
|
|
"""An immutable :class:`OrderedMultiDict`.
|
|
|
|
.. versionadded:: 0.6
|
|
"""
|
|
|
|
def _iter_hashitems(self):
|
|
return enumerate(self.items(multi=True))
|
|
|
|
def copy(self):
|
|
"""Return a shallow mutable copy of this object. Keep in mind that
|
|
the standard library's :func:`copy` function is a no-op for this class
|
|
like for any other python immutable type (eg: :class:`tuple`).
|
|
"""
|
|
return OrderedMultiDict(self)
|
|
|
|
def __copy__(self):
|
|
return self
|