# UsageΒΆ

```
from intspan import intspan
s = intspan('1-3,14,29,92-97')
s.discard('2,13,92')
print s
print repr(s)
print list(s)
```

yields:

```
1,3,14,29,93-97
intspan('1,3,14,29,93-97')
[1, 3, 14, 29, 93, 94, 95, 96, 97]
```

While:

```
>>> for n in intspan('1-3,5'):
>>> print n # Python 2
1
2
3
5
```

Most set operations such as intersection, union, and so on are available just
as they are in Python’s `set`

. In addition, if you wish to extract the
contiguous ranges:

```
>>> for r in intspan('1-3,5,7-9,10,21-22,23,24').ranges():
>>> print r # Python 2
(1, 3)
(5, 5)
(7, 10)
(21, 24)
```

Note that these endpoints represent
closed intervals,
rather than the half-open intervals commonly used with Python’s `range()`

.
If you combine `intspan`

ranges with Python generators, you’ll
have to increment the stop value by one yourself to create the suitable
“half-open interval.”

There is a corresponding range-oriented constructor:

```
>>> intspan.from_ranges([ (4,6), (10,12) ])
intspan('4-6,10-12')
```

A convenience `from_range`

method creates a contiguous
`intspan`

from a given low to a high value.:

```
>>> intspan.from_range(8, 12)
intspan('8-12')
```

The `universe`

method returns the covering set or “implied universe” of
an `intspan`

:

```
>> intspan('1,3,5,7').universe()
intspan('1-7')
```

To find the elements *not* included, you can use the `complement`

method:

```
>>> items = intspan('1-3,5,7-9,10,21-24')
>>> items.complement()
intspan('4,6,11-20')
```

The “missing” elements are computed as any integers between the
`intspan`

‘s minimum and maximum values that aren’t included. If you’d like
to customize the intended `low`

and `high`

bounds, you can give those
explicitly.:

```
>>> items.complement(high=30)
intspan('4,6,11-20,25-30')
```

You can use the `difference`

method or `-`

operator
to find the complement with respect to an arbitrary set, rather than just
an expected contiguous range.