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An OrderedSet is a custom MutableSet that remembers its order, so that every
entry has an index that can be looked up.
Based on a recipe originally posted to ActiveState Recipes by Raymond Hettiger,
and released under the MIT license.
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Are we being asked to look up a list of things, instead of a single thing?
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don't have to be known by this module, such as NumPy arrays.
Strings, however, should be considered as atomic values to look up, not
iterables. The same goes for tuples, since they are immutable and therefore
valid entries.
We don't need to check for the Python 2 `unicode` type, because it doesn't
have an `__iter__` attribute anyway.
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An OrderedSet is a custom MutableSet that remembers its order, so that
every entry has an index that can be looked up.
Example:
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OrderedSet([1, 2, 3])
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Returns the number of unique elements in the ordered set
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0
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2
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Get the item at a given index.
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items corresponding to those indices. This is similar to NumPy's
"fancy indexing". The result is not an OrderedSet because you may ask
for duplicate indices, and the number of elements returned should be
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Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset[1]
2
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Return a shallow copy of this object.
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True
>>> this is other
False
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Test if the item is in this ordered set
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False
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Add `key` as an item to this OrderedSet, then return its index.
If `key` is already in the OrderedSet, return the index it already
had.
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>>> oset = OrderedSet()
>>> oset.append(3)
0
>>> print(oset)
OrderedSet([3])
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Update the set with the given iterable sequence, then return the index
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4
>>> print(oset)
OrderedSet([1, 2, 3, 5, 4])
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Get the index of a given entry, raising an IndexError if it's not
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1
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Remove and return the last element from the set.
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Remove an element. Do not raise an exception if absent.
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Example:
>>> oset = OrderedSet([1, 2, 3])
>>> oset.discard(2)
>>> print(oset)
OrderedSet([1, 3])
>>> oset.discard(2)
>>> print(oset)
OrderedSet([1, 3])
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Remove all items from this OrderedSet.
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[1, 2, 3]
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[3, 2, 1]
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Returns true if the containers have the same items. If `other` is a
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>>> oset == [1, 3, 2]
True
>>> oset == [1, 2, 3]
False
>>> oset == [2, 3]
False
>>> oset == OrderedSet([3, 2, 1])
False
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Combines all unique items.
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Example:
>>> oset = OrderedSet.union(OrderedSet([3, 1, 4, 1, 5]), [1, 3], [2, 0])
>>> print(oset)
OrderedSet([3, 1, 4, 5, 2, 0])
>>> oset.union([8, 9])
OrderedSet([3, 1, 4, 5, 2, 0, 8, 9])
>>> oset | {10}
OrderedSet([3, 1, 4, 5, 2, 0, 10])
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Returns elements in common between all sets. Order is defined only
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Example:
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>>> print(oset)
OrderedSet([1, 2, 3])
>>> oset.intersection([2, 4, 5], [1, 2, 3, 4])
OrderedSet([2])
>>> oset.intersection()
OrderedSet([1, 2, 3])
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Returns all elements that are in this set but not the others.
Example:
>>> OrderedSet([1, 2, 3]).difference(OrderedSet([2]))
OrderedSet([1, 3])
>>> OrderedSet([1, 2, 3]).difference(OrderedSet([2]), OrderedSet([3]))
OrderedSet([1])
>>> OrderedSet([1, 2, 3]) - OrderedSet([2])
OrderedSet([1, 3])
>>> OrderedSet([1, 2, 3]).difference()
OrderedSet([1, 2, 3])
c 3 s � | ] }|� vr|V qd S r r rT �rG r r rW t rX z(OrderedSet.difference.<locals>.<genexpr>)r# rF rP r rY r rZ r �
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Report whether another set contains this set.
Example:
>>> OrderedSet([1, 2, 3]).issubset({1, 2})
False
>>> OrderedSet([1, 2, 3]).issubset({1, 2, 3, 4})
True
>>> OrderedSet([1, 2, 3]).issubset({1, 4, 3, 5})
False
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Report whether this set contains another set.
Example:
>>> OrderedSet([1, 2]).issuperset([1, 2, 3])
False
>>> OrderedSet([1, 2, 3, 4]).issuperset({1, 2, 3})
True
>>> OrderedSet([1, 4, 3, 5]).issuperset({1, 2, 3})
False
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Return the symmetric difference of two OrderedSets as a new set.
That is, the new set will contain all elements that are in exactly
one of the sets.
Their order will be preserved, with elements from `self` preceding
elements from `other`.
Example:
>>> this = OrderedSet([1, 4, 3, 5, 7])
>>> other = OrderedSet([9, 7, 1, 3, 2])
>>> this.symmetric_difference(other)
OrderedSet([4, 5, 9, 2])
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Update this OrderedSet to remove items from one or more other sets.
Example:
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>>> this.difference_update(OrderedSet([2, 4]))
>>> print(this)
OrderedSet([1, 3])
>>> this = OrderedSet([1, 2, 3, 4, 5])
>>> this.difference_update(OrderedSet([2, 4]), OrderedSet([1, 4, 6]))
>>> print(this)
OrderedSet([3, 5])
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Update this OrderedSet to keep only items in another set, preserving
their order in this set.
Example:
>>> this = OrderedSet([1, 4, 3, 5, 7])
>>> other = OrderedSet([9, 7, 1, 3, 2])
>>> this.intersection_update(other)
>>> print(this)
OrderedSet([1, 3, 7])
c s g | ]}|� v r|�qS r r rT rZ r r r � rm z2OrderedSet.intersection_update.<locals>.<listcomp>Nrn rR r rZ r �intersection_update� s z OrderedSet.intersection_updatec s< �fdd�|D �}t |�� ��� fdd��jD �| � dS )a�
Update this OrderedSet to remove items from another set, then
add items from the other set that were not present in this set.
Example:
>>> this = OrderedSet([1, 4, 3, 5, 7])
>>> other = OrderedSet([9, 7, 1, 3, 2])
>>> this.symmetric_difference_update(other)
>>> print(this)
OrderedSet([4, 5, 9, 2])
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