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c C sA | i o | i i | i ƒ n | i t | i i | i ƒ d S( N( R t otherIsIterableR Rb R¢ R: R5 ( R ( ( R t test_union_update s
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c C sA | i o | i i | i ƒ n | i t | i i | i ƒ d S( N( R R¨ R Rd R¢ R: R5 ( R ( ( R t test_intersection_update% s
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c C sA | i o | i i | i ƒ n | i t | i i | i ƒ d S( N( R R¨ R Rf R¢ R: R5 ( R ( ( R t test_sym_difference_update= s
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c C sA | i o | i i | i ƒ n | i t | i i | i ƒ d S( N( R R¨ R Rl R¢ R: R5 ( R ( ( R t test_difference_updateU s
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Example from the Library Reference: Doc/lib/libsets.tex
>>> from sets import Set as Base # override _repr to get sorted output
>>> class Set(Base):
... def _repr(self):
... return Base._repr(self, sorted=True)
>>> engineers = Set(['John', 'Jane', 'Jack', 'Janice'])
>>> programmers = Set(['Jack', 'Sam', 'Susan', 'Janice'])
>>> managers = Set(['Jane', 'Jack', 'Susan', 'Zack'])
>>> employees = engineers | programmers | managers # union
>>> engineering_management = engineers & managers # intersection
>>> fulltime_management = managers - engineers - programmers # difference
>>> engineers.add('Marvin')
>>> print engineers
Set(['Jack', 'Jane', 'Janice', 'John', 'Marvin'])
>>> employees.issuperset(engineers) # superset test
False
>>> employees.union_update(engineers) # update from another set
>>> employees.issuperset(engineers)
True
>>> for group in [engineers, programmers, managers, employees]:
... group.discard('Susan') # unconditionally remove element
... print group
...
Set(['Jack', 'Jane', 'Janice', 'John', 'Marvin'])
Set(['Jack', 'Janice', 'Sam'])
Set(['Jack', 'Jane', 'Zack'])
Set(['Jack', 'Jane', 'Janice', 'John', 'Marvin', 'Sam', 'Zack'])
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