500 lines
15 KiB
Python
500 lines
15 KiB
Python
import copy
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from types import GeneratorType
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class MergeDict(object):
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"""
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A simple class for creating new "virtual" dictionaries that actually look
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up values in more than one dictionary, passed in the constructor.
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If a key appears in more than one of the given dictionaries, only the
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first occurrence will be used.
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"""
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def __init__(self, *dicts):
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self.dicts = dicts
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def __getitem__(self, key):
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for dict_ in self.dicts:
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try:
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return dict_[key]
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except KeyError:
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pass
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raise KeyError
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def __copy__(self):
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return self.__class__(*self.dicts)
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def get(self, key, default=None):
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try:
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return self[key]
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except KeyError:
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return default
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def getlist(self, key):
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for dict_ in self.dicts:
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if key in dict_.keys():
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return dict_.getlist(key)
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return []
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def iteritems(self):
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seen = set()
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for dict_ in self.dicts:
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for item in dict_.iteritems():
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k, v = item
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if k in seen:
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continue
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seen.add(k)
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yield item
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def iterkeys(self):
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for k, v in self.iteritems():
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yield k
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def itervalues(self):
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for k, v in self.iteritems():
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yield v
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def items(self):
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return list(self.iteritems())
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def keys(self):
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return list(self.iterkeys())
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def values(self):
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return list(self.itervalues())
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def has_key(self, key):
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for dict_ in self.dicts:
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if key in dict_:
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return True
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return False
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__contains__ = has_key
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__iter__ = iterkeys
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def copy(self):
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"""Returns a copy of this object."""
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return self.__copy__()
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def __str__(self):
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'''
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Returns something like
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"{'key1': 'val1', 'key2': 'val2', 'key3': 'val3'}"
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instead of the generic "<object meta-data>" inherited from object.
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'''
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return str(dict(self.items()))
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def __repr__(self):
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'''
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Returns something like
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MergeDict({'key1': 'val1', 'key2': 'val2'}, {'key3': 'val3'})
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instead of generic "<object meta-data>" inherited from object.
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'''
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dictreprs = ', '.join(repr(d) for d in self.dicts)
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return '%s(%s)' % (self.__class__.__name__, dictreprs)
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class SortedDict(dict):
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"""
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A dictionary that keeps its keys in the order in which they're inserted.
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"""
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def __new__(cls, *args, **kwargs):
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instance = super(SortedDict, cls).__new__(cls, *args, **kwargs)
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instance.keyOrder = []
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return instance
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def __init__(self, data=None):
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if data is None:
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data = {}
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elif isinstance(data, GeneratorType):
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# Unfortunately we need to be able to read a generator twice. Once
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# to get the data into self with our super().__init__ call and a
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# second time to setup keyOrder correctly
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data = list(data)
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super(SortedDict, self).__init__(data)
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if isinstance(data, dict):
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self.keyOrder = data.keys()
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else:
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self.keyOrder = []
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seen = set()
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for key, value in data:
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if key not in seen:
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self.keyOrder.append(key)
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seen.add(key)
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def __deepcopy__(self, memo):
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return self.__class__([(key, copy.deepcopy(value, memo))
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for key, value in self.iteritems()])
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def __setitem__(self, key, value):
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if key not in self:
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self.keyOrder.append(key)
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super(SortedDict, self).__setitem__(key, value)
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def __delitem__(self, key):
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super(SortedDict, self).__delitem__(key)
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self.keyOrder.remove(key)
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def __iter__(self):
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return iter(self.keyOrder)
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def pop(self, k, *args):
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result = super(SortedDict, self).pop(k, *args)
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try:
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self.keyOrder.remove(k)
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except ValueError:
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# Key wasn't in the dictionary in the first place. No problem.
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pass
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return result
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def popitem(self):
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result = super(SortedDict, self).popitem()
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self.keyOrder.remove(result[0])
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return result
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def items(self):
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return zip(self.keyOrder, self.values())
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def iteritems(self):
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for key in self.keyOrder:
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yield key, self[key]
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def keys(self):
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return self.keyOrder[:]
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def iterkeys(self):
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return iter(self.keyOrder)
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def values(self):
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return map(self.__getitem__, self.keyOrder)
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def itervalues(self):
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for key in self.keyOrder:
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yield self[key]
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def update(self, dict_):
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for k, v in dict_.iteritems():
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self[k] = v
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def setdefault(self, key, default):
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if key not in self:
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self.keyOrder.append(key)
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return super(SortedDict, self).setdefault(key, default)
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def value_for_index(self, index):
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"""Returns the value of the item at the given zero-based index."""
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return self[self.keyOrder[index]]
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def insert(self, index, key, value):
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"""Inserts the key, value pair before the item with the given index."""
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if key in self.keyOrder:
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n = self.keyOrder.index(key)
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del self.keyOrder[n]
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if n < index:
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index -= 1
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self.keyOrder.insert(index, key)
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super(SortedDict, self).__setitem__(key, value)
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def copy(self):
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"""Returns a copy of this object."""
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# This way of initializing the copy means it works for subclasses, too.
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obj = self.__class__(self)
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obj.keyOrder = self.keyOrder[:]
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return obj
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def __repr__(self):
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"""
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Replaces the normal dict.__repr__ with a version that returns the keys
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in their sorted order.
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"""
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return '{%s}' % ', '.join(['%r: %r' % (k, v) for k, v in self.items()])
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def clear(self):
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super(SortedDict, self).clear()
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self.keyOrder = []
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class MultiValueDictKeyError(KeyError):
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pass
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class MultiValueDict(dict):
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"""
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A subclass of dictionary customized to handle multiple values for the
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same key.
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>>> d = MultiValueDict({'name': ['Adrian', 'Simon'], 'position': ['Developer']})
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>>> d['name']
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'Simon'
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>>> d.getlist('name')
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['Adrian', 'Simon']
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>>> d.getlist('doesnotexist')
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[]
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>>> d.getlist('doesnotexist', ['Adrian', 'Simon'])
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['Adrian', 'Simon']
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>>> d.get('lastname', 'nonexistent')
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'nonexistent'
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>>> d.setlist('lastname', ['Holovaty', 'Willison'])
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This class exists to solve the irritating problem raised by cgi.parse_qs,
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which returns a list for every key, even though most Web forms submit
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single name-value pairs.
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"""
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def __init__(self, key_to_list_mapping=()):
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super(MultiValueDict, self).__init__(key_to_list_mapping)
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def __repr__(self):
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return "<%s: %s>" % (self.__class__.__name__,
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super(MultiValueDict, self).__repr__())
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def __getitem__(self, key):
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"""
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Returns the last data value for this key, or [] if it's an empty list;
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raises KeyError if not found.
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"""
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try:
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list_ = super(MultiValueDict, self).__getitem__(key)
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except KeyError:
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raise MultiValueDictKeyError("Key %r not found in %r" % (key, self))
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try:
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return list_[-1]
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except IndexError:
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return []
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def __setitem__(self, key, value):
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super(MultiValueDict, self).__setitem__(key, [value])
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def __copy__(self):
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return self.__class__([
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(k, v[:])
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for k, v in self.lists()
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])
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def __deepcopy__(self, memo=None):
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if memo is None:
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memo = {}
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result = self.__class__()
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memo[id(self)] = result
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for key, value in dict.items(self):
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dict.__setitem__(result, copy.deepcopy(key, memo),
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copy.deepcopy(value, memo))
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return result
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def __getstate__(self):
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obj_dict = self.__dict__.copy()
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obj_dict['_data'] = dict([(k, self.getlist(k)) for k in self])
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return obj_dict
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def __setstate__(self, obj_dict):
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data = obj_dict.pop('_data', {})
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for k, v in data.items():
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self.setlist(k, v)
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self.__dict__.update(obj_dict)
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def get(self, key, default=None):
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"""
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Returns the last data value for the passed key. If key doesn't exist
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or value is an empty list, then default is returned.
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"""
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try:
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val = self[key]
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except KeyError:
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return default
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if val == []:
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return default
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return val
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def getlist(self, key, default=None):
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"""
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Returns the list of values for the passed key. If key doesn't exist,
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then a default value is returned.
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"""
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try:
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return super(MultiValueDict, self).__getitem__(key)
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except KeyError:
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if default is not None:
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return default
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return []
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def setlist(self, key, list_):
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super(MultiValueDict, self).__setitem__(key, list_)
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def setdefault(self, key, default=None):
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if key not in self:
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self[key] = default
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return self[key]
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def setlistdefault(self, key, default_list=()):
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if key not in self:
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self.setlist(key, default_list)
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return self.getlist(key)
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def appendlist(self, key, value):
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"""Appends an item to the internal list associated with key."""
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self.setlistdefault(key, [])
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super(MultiValueDict, self).__setitem__(key, self.getlist(key) + [value])
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def items(self):
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"""
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Returns a list of (key, value) pairs, where value is the last item in
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the list associated with the key.
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"""
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return [(key, self[key]) for key in self.keys()]
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def iteritems(self):
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"""
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Yields (key, value) pairs, where value is the last item in the list
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associated with the key.
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"""
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for key in self.keys():
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yield (key, self[key])
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def lists(self):
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"""Returns a list of (key, list) pairs."""
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return super(MultiValueDict, self).items()
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def iterlists(self):
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"""Yields (key, list) pairs."""
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return super(MultiValueDict, self).iteritems()
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def values(self):
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"""Returns a list of the last value on every key list."""
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return [self[key] for key in self.keys()]
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def itervalues(self):
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"""Yield the last value on every key list."""
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for key in self.iterkeys():
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yield self[key]
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def copy(self):
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"""Returns a shallow copy of this object."""
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return copy.copy(self)
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def update(self, *args, **kwargs):
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"""
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update() extends rather than replaces existing key lists.
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Also accepts keyword args.
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"""
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if len(args) > 1:
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raise TypeError("update expected at most 1 arguments, got %d" % len(args))
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if args:
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other_dict = args[0]
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if isinstance(other_dict, MultiValueDict):
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for key, value_list in other_dict.lists():
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self.setlistdefault(key, []).extend(value_list)
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else:
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try:
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for key, value in other_dict.items():
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self.setlistdefault(key, []).append(value)
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except TypeError:
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raise ValueError("MultiValueDict.update() takes either a MultiValueDict or dictionary")
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for key, value in kwargs.iteritems():
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self.setlistdefault(key, []).append(value)
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class DotExpandedDict(dict):
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"""
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A special dictionary constructor that takes a dictionary in which the keys
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may contain dots to specify inner dictionaries. It's confusing, but this
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example should make sense.
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>>> d = DotExpandedDict({'person.1.firstname': ['Simon'], \
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'person.1.lastname': ['Willison'], \
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'person.2.firstname': ['Adrian'], \
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'person.2.lastname': ['Holovaty']})
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>>> d
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{'person': {'1': {'lastname': ['Willison'], 'firstname': ['Simon']}, '2': {'lastname': ['Holovaty'], 'firstname': ['Adrian']}}}
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>>> d['person']
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{'1': {'lastname': ['Willison'], 'firstname': ['Simon']}, '2': {'lastname': ['Holovaty'], 'firstname': ['Adrian']}}
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>>> d['person']['1']
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{'lastname': ['Willison'], 'firstname': ['Simon']}
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# Gotcha: Results are unpredictable if the dots are "uneven":
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>>> DotExpandedDict({'c.1': 2, 'c.2': 3, 'c': 1})
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{'c': 1}
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"""
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def __init__(self, key_to_list_mapping):
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for k, v in key_to_list_mapping.items():
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current = self
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bits = k.split('.')
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for bit in bits[:-1]:
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current = current.setdefault(bit, {})
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# Now assign value to current position
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try:
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current[bits[-1]] = v
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except TypeError: # Special-case if current isn't a dict.
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current = {bits[-1]: v}
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class ImmutableList(tuple):
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"""
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A tuple-like object that raises useful errors when it is asked to mutate.
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Example::
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>>> a = ImmutableList(range(5), warning="You cannot mutate this.")
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>>> a[3] = '4'
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Traceback (most recent call last):
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...
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AttributeError: You cannot mutate this.
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"""
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def __new__(cls, *args, **kwargs):
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if 'warning' in kwargs:
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warning = kwargs['warning']
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del kwargs['warning']
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else:
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warning = 'ImmutableList object is immutable.'
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self = tuple.__new__(cls, *args, **kwargs)
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self.warning = warning
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return self
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def complain(self, *wargs, **kwargs):
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if isinstance(self.warning, Exception):
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raise self.warning
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else:
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raise AttributeError(self.warning)
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# All list mutation functions complain.
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__delitem__ = complain
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__delslice__ = complain
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__iadd__ = complain
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__imul__ = complain
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__setitem__ = complain
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__setslice__ = complain
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append = complain
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extend = complain
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insert = complain
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pop = complain
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remove = complain
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sort = complain
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reverse = complain
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class DictWrapper(dict):
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"""
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Wraps accesses to a dictionary so that certain values (those starting with
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the specified prefix) are passed through a function before being returned.
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The prefix is removed before looking up the real value.
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Used by the SQL construction code to ensure that values are correctly
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quoted before being used.
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"""
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def __init__(self, data, func, prefix):
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super(DictWrapper, self).__init__(data)
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self.func = func
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self.prefix = prefix
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def __getitem__(self, key):
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"""
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Retrieves the real value after stripping the prefix string (if
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present). If the prefix is present, pass the value through self.func
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before returning, otherwise return the raw value.
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"""
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if key.startswith(self.prefix):
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use_func = True
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key = key[len(self.prefix):]
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else:
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use_func = False
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value = super(DictWrapper, self).__getitem__(key)
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if use_func:
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return self.func(value)
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return value
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