python-intervals 1.0.3

Python Intervals Arithmetic

Interval arithmetic for Python

This repository contains the Python 3.5+ intervals library that provides basic arithmetic for intervals in Python, supporting arbitrary object type.

This library is inspired by pyinter.

Features

• Support intervals of arbitrary comparable objects.
• Closed or open, finite or infinite intervals.
• Union of intervals out of the box.
• Automatically simplify union of intervals.
• Support intersection, union, complement, difference and containment.

Installation

You can use pip to install this library:

pip install python-intervals

This will install the latest available version from pypi branche.
Prereleases are available from the master branch.

Usage

Assuming this library is imported using import intervals as I, intervals can be easily created using one of the following functions:

• I.open(1, 2) corresponds to (1, 2);
• I.closed(1, 2) corresponds to [1, 2];
• I.openclosed(1, 2) corresponds to (1, 2];
• and I.closedopen(1, 2) corresponds to [1, 2).

>>> I.closed(0, 3)  
[0,3]  
>>> I.openclosed('a', 'z')  
('a','z']  

Infinite and semi-infinite intervals are supported using I.inf and -I.inf as upper or lower bounds. These two objects support comparison with any other object.

>>> I.openclosed(-I.inf, 0)  
(-inf,0]  
>>> I.closed(-I.inf, I.inf)  # Automatically converted
(-inf,+inf)
>>> I.inf > 'a', I.inf > 0, I.inf > True
(True, True, True)

Intervals created with this library are Interval instances. An Interval object is a disjunction of AtomicInterval. An AtomicInterval represents a single interval (e.g. [1,2]) while an Interval represents union of intervals (e.g. [1,2] | [3,4]).

For convenience, Interval are automatically simplified:

>>> I.closed(0, 2) | I.closed(2, 4)
[0,4]
>>> I.closed(1, 2) | I.closed(3, 4) | I.closed(2, 3)
[1,4]
>>> I.closed(1, 2) | I.openclosed(2, 3) | I.closedopen(5, 5)
[1,3]

Both classes support interval arithmetic:

• x.is_empty() tests if the interval is empty.

  >>> I.closed(0, 1).is_empty()
  False
  >>> I.closed(0, 0).is_empty()
  False
  >>> I.openclosed(0, 0).is_empty()
  True
  

• x.overlaps(other) test if there is an overlap between two intervals. This method accepts a permissive parameter which defaults to False. If True, it considers that [1, 2) and [2, 3] have an overlap on 2 (but not [1, 2) and (2, 3]).

  >>> I.closed(1, 2).overlaps(I.closed(2, 3))
  True
  >>> I.closed(1, 2).overlaps(I.open(2, 3))
  False
  >>> I.closed(1, 2).overlaps(I.open(2, 3), permissive=True)
  True
  

• x.intersection(other) or x & other returns the intersection of two intervals.

  >>> I.closed(0, 2) & I.closed(1, 3)
  [1,2]
  >>> I.closed(0, 4) & I.open(2, 3)
  (2,3)
  

• x.union(other) or x | other returns the union of two intervals.

  >>> I.closed(0, 1) | I.closed(1, 2)
  [0,2]
  >>> I.closed(0, 1) | I.closed(2, 3)
  [0,1] | [2,3]
  

• x.contains(other) or other in x returns True if given item is contained in the interval. Support Interval, AtomicInterval and arbitrary comparable values.

  >>> 2 in I.closed(0, 2)
  True
  >>> 2 in I.open(0, 2)
  False
  >> I.open(0, 1) in I.closed(0, 2)
  True
  

• x.complement(other) or ~x returns the complement of the interval.

  >>> ~I.closed(0, 1)
  (-inf,0) | (1,+inf)
  >>> ~(I.open(-I.inf, 0) | I.open(1, I.inf))
  [0,1]
  

• x.difference(other) or x - other returns the difference between x and other.

  >>> I.closed(0,2) - I.closed(1,2)
  [0,1)
  >>> I.closed(0, 4) - I.closed(1, 2)
  [0,1) | (2,4]
  

• x == other checks for interval equality.

  >>> I.closed(0, 2) == I.closed(0, 1) | I.closed(1, 2)
  True
  

Additionally, an Interval provides:

• x.is_atomic() evaluates to True if interval is the union of a single (possibly empty) atomic interval.
• x.to_atomic() returns the smallest AtomicInterval that contains the interval(s).
• Iteration protocol for the underlying set of AtomicInterval, sorted by their lower bound value.

The left and right boundaries, and the lower and upper bound of an AtomicInterval can be respectively accessed with its left, right, lower and upper attribute.

>>> [(i.left, i.lower, i.upper, i.right) for i in I.open(2, 3) | I.closed(0, 1)]
[(True, 0, 1, True), (False, 2, 3, False)]

Contributions

Contributions are very welcome!
Feel free to report bugs or suggest new features using GitHub issues and/or pull requests.

Licence

LGPLv3 - GNU Lesser General Public License, version 3

Changelog

1.0.3 (2018-04-03)

• Initial working release on PyPi.

1.0.0 (2018-04-03)

• Initial release.