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An interval tree data structure

Project description

# itree

`itree` is an interval tree data structure based on a self-balancing AVL binary search tree tree.
Suitable for use with sequence features in bioinformatics.

## Getting Started

* **Construction**

Creating an interval tree object:

```python
>>> import itree
>>> t = itree.ITree()
```

* **Insertion**

Any item inserted into an interval tree must contain "start" and "end" attributes as integers.

```python
>>> import collections
>>> i = collections.namedtuple('MyInterval', ['start','end'])
>>> t.insert(i(1,15))
>>> t.insert(i(3,20))
>>> t.insert(i(4,20))
>>> t.insert(i(5,15))
>>> t.insert(i(6,7))
```

* **Search**

Search for all intervals overlapping a given interval

```python
>>> t.search(i(1,4))
[MyInterval(start=3, end=20), MyInterval(start=4, end=20), MyInterval(start=1, end=15)]
```

* **Removal**

Remove an interval exactly matching the given interval by its `start` and `end` attributes (but not necessarily the
same object).

```python
>>> t.pstring()
┌–(1,15)
–(3,20)
┌–(4,20)
└–(5,15)
└–(6,7)

>>> t.remove(i(1,15))
>>> t.pstring()
┌–(3,20)
└–(4,20)
–(5,15)
└–(6,7)
```

The `pstring` method is mostly for debugging, but here we illustrate the rebalancing of the tree.


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