python-intervals 1.6.0

Interval arithmetic for Python

Interval arithmetic for Python

This library provides interval arithmetic for Python 2.7+ and Python 3.4+.

Features

• Support intervals of any (comparable) objects.
• Closed or open, finite or infinite intervals.
• Atomic intervals and interval sets are supported.
• Automatic simplification of intervals.
• Support iteration, comparison, intersection, union, complement, difference and containment.

Installation

You can use pip to install it, as usual: pip install python-intervals.

This will install the latest available version from PyPI. Prereleases are available from its master branch on GitHub.

For convenience, the library is contained within a single Python file, and can thus be easily integrated in other projects without the need for an explicit dependency (hint: don't do that!).

Documentation & usage

Interval creation

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

>>> I.open(1, 2)
(1,2)
>>> I.closed(1, 2)
[1,2]
>>> I.openclosed(1, 2)
(1,2]
>>> I.closedopen(1, 2)
[1,2)
>>> I.singleton(1)
[1]
>>> I.empty()
()

Intervals created with this library are Interval instances. An Interval object is a disjunction of atomic intervals that represent single intervals (e.g. [1,2]) corresponding to AtomicInterval instances. Except when atomic intervals are explicitly created or retrieved, only Interval instances are exposed

The bounds of an interval can be any arbitrary values, as long as they are comparable:

>>> I.closed(1.2, 2.4)
[1.2,2.4]
>>> I.closed('a', 'z')
['a','z']
>>> from datetime import date
>>> I.closed(date(2011, 3, 15), date(2013, 10, 10))
[datetime.date(2011, 3, 15),datetime.date(2013, 10, 10)]

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. When infinites are used as a lower or upper bound, the corresponding boundary is automatically converted to an open one.

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

Empty intervals always resolve to (I.inf, -I.inf), regardless of the provided bounds:

>>> I.empty() == I.open(I.inf, -I.inf)
True
>>> I.closed(4, 3) == I.open(I.inf, -I.inf)
True
>>> I.openclosed('a', 'a') == I.open(I.inf, -I.inf)
True

For convenience, intervals 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.empty() | I.closed(0, 1)
[0,1]
>>> I.closed(1, 2) | I.closed(2, 3) | I.closed(4, 5)
[1,3] | [4,5]

Note that discrete intervals are not supported, e.g., combining [0,1] with [2,3] will not result in [0,3] even if there is no integer between 1 and 2.

Arithmetic operations

Both Interval and AtomicInterval support following interval arithmetic operations:

• 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
  >>> I.empty().is_empty()
  True
  

• x.intersection(other) or x & other return 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)
  >>> I.closed(0, 2) & I.closed(2, 3)
  [2]
  >>> I.closed(0, 2) & I.closed(3, 4)
  ()
  

• x.union(other) or x | other return 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.complement(other) or ~x return 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]
  >>> ~I.open(-I.inf, I.inf)
  ()
  

• x.difference(other) or x - other return 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.contains(other) or other in x return 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.overlaps(other) tests 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
  

Other methods and attributes

The following methods are only available for Interval instances:

• x.enclosure() returns the smallest interval that includes the current one.

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

• x.to_atomic() is equivalent to x.enclosure() but returns an AtomicInterval instead of an Interval object.

• x.is_atomic() evaluates to True if interval is composed of a single (possibly empty) atomic interval.

  >>> I.closed(0, 2).is_atomic()
  True
  >>> (I.closed(0, 1) | I.closed(1, 2)).is_atomic()
  True
  >>> (I.closed(0, 1) | I.closed(2, 3)).is_atomic()
  False
  

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 attributes. The left and right bounds are either I.CLOSED (True) or I.OPEN (False).

>> I.CLOSED, I.OPEN
True, False
>>> x = I.closedopen(0, 1).to_atomic()
>>> x.left, x.lower, x.upper, x.right
(True, 0, 1, False)

Comparison operators

Equality between intervals can be checked using the classical == operator:

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

Moreover, both Interval and AtomicInterval are comparable using e.g. >, >=, < or <=. The comparison is based on the interval itself, not on its lower or upper bound only. For instance, a < b holds if a is entirely on the left of b and a > b holds if a is entirely on the right of b.

>>> I.closed(0, 1) < I.closed(2, 3)
True
>>> I.closed(0, 1) < I.closed(1, 2)
False

Similarly, a <= b holds if a is entirely on the left of the upper bound of b, and a >= b holds if a is entirely on the right of the lower bound of b.

>>> I.closed(0, 1) <= I.closed(2, 3)
True
>>> I.closed(0, 2) <= I.closed(1, 3)
True
>>> I.closed(0, 3) <= I.closed(1, 2)
False

Note that this semantics differ from classical comparison operators. As a consequence, some intervals are never comparable in the classical sense, as illustrated hereafter:

>>> I.closed(0, 4) <= I.closed(1, 2) or I.closed(0, 4) >= I.closed(1, 2)
False
>>> I.closed(0, 4) < I.closed(1, 2) or I.closed(0, 4) > I.closed(1, 2)
False
>>> I.empty() < I.empty()
True

Iteration & indexing

Intervals can be iterated to access the underlying AtomicInterval objects, sorted by their lower and upper bounds.

>>> list(I.open(2, 3) | I.closed(0, 1) | I.closed(21, 24))
[[0,1], (2,3), [21,24]]

The AtomicInterval objects of an Interval can also be accessed using their indexes:

>>> (I.open(2, 3) | I.closed(0, 1) | I.closed(21, 24))[0]
[0,1]
>>> (I.open(2, 3) | I.closed(0, 1) | I.closed(21, 24))[-2]
(2,3)

Import and export to string

Intervals can be exported to string, either using repr (as illustrated above) or with the to_string function.

>>> I.to_string(I.closedopen(0, 1))
'[0,1)'

This function accepts both Interval and AtomicInterval instances. The way string representations are built can be easily parametrized using the various parameters supported by to_string:

>>> x = I.openclosed(0, 1) | I.closed(2, I.inf)
>>> params = {
...   'disj': ' or ',
...   'sep': ' - ',
...   'left_closed': '<',
...   'right_closed': '>',
...   'left_open': '..',
...   'right_open': '..',
...   'pinf': '+oo',
...   'ninf': '-oo',
...   'conv': lambda v: '"{}"'.format(v),
... }
>>> I.to_string(x, **params)
'.."0" - "1"> or <"2" - +oo..'

Similarly, intervals can be created from a string using the from_string function. A conversion function (conv parameter) has to be provided to convert a bound (as string) to a value.

>>> I.from_string('[0, 1]', conv=int) == I.closed(0, 1)
True
>>> I.from_string('[1.2]', conv=float) == I.singleton(1.2)
True
>>> from datetime import datetime
>>> converter = lambda s: datetime.strptime(s, '%Y/%m/%d')
>>> I.from_string('[2011/03/15, 2013/10/10]', conv=converter)
[datetime.datetime(2011, 3, 15, 0, 0),datetime.datetime(2013, 10, 10, 0, 0)]

Similarly to to_string, function from_string can be parametrized to deal with more elaborated inputs. Notice that as from_string expects regular expression patterns, we need to escape some characters.

>>> s = '.."0" - "1"> or <"2" - +oo..'
>>> params = {
...   'disj': ' or ',
...   'sep': ' - ',
...   'left_closed': '<',
...   'right_closed': '>',
...   'left_open': r'\.\.',  # from_string expects regular expression patterns
...   'right_open': r'\.\.',  # from_string expects regular expression patterns
...   'pinf': r'\+oo',  # from_string expects regular expression patterns
...   'ninf': '-oo',
...   'conv': lambda v: int(v[1:-1]),
... }
>>> I.from_string(s, **params)
(0,1] | [2,+inf)

When a bound contains a comma or has a representation that cannot be automatically parsed with from_string, the bound parameter can be used to specify the regular expression that should be used to match its representation.

>>> s = '[(0, 1), (2, 3)]'  # Bounds are expected to be tuples
>>> I.from_string(s, conv=eval, bound=r'\(.+?\)')
[(0, 1),(2, 3)]

Contributions

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

Licence

Distributed under LGPLv3 - GNU Lesser General Public License, version 3.

Changelog

This library adheres to a semantic versioning scheme.

1.6.0 (2018-08-29)

• Add support for customized infinity representation in to_string and from_string (#3).

1.5.4 (2018-07-29)

• Fix .overlaps (#2).

1.5.3 (2018-06-21)

• Fix invalid repr for atomic singleton intervals.

1.5.2 (2018-06-15)

• Fix invalid comparisons when both Interval and AtomicInterval are compared.

1.5.1 (2018-04-25)

• Fix #1 by making empty intervals always resolving to (I.inf, -I.inf).

1.5.0 (2018-04-17)

• Interval.__init__ accepts Interval instances in addition to AtomicInterval ones.

1.4.0 (2018-04-17)

• Function I.to_string to export an interval to a string, with many options to customize the representation.
• Function I.from_string to create an interval from a string, with many options to customize the parsing.

1.3.2 (2018-04-13)

• Support for Python 2.7.

1.3.1 (2018-04-12)

• Define __slots__ to lower memory usage, and to speed up attribute access.
• Define Interval.__rand__ (and other magic methods) to support Interval from AtomicInterval instead of having a dedicated piece of code in AtomicInterval.
• Fix __all__.
• More tests to cover all comparisons.

1.3.0 (2018-04-04)

• Meaningful <= and >= comparisons for intervals.

1.2.0 (2018-04-04)

• Interval supports indexing to retrieve the underlying AtomicInterval objects.

1.1.0 (2018-04-04)

• Both AtomicInterval and Interval are fully comparable.
• Add singleton(x) to create a singleton interval [x].
• Add empty() to create an empty interval.
• Add Interval.enclosure() that returns the smallest interval that includes the current one.
• Interval simplification is in O(n) instead of O(n*m).
• AtomicInterval objects in an Interval are sorted by lower and upper bounds.

1.0.4 (2018-04-03)

• All operations of AtomicInterval (except overlaps) accept Interval.
• Raise TypeError instead of ValueError if type is not supported (coherent with NotImplemented).

1.0.3 (2018-04-03)

• Initial working release on PyPi.

1.0.0 (2018-04-03)

• Initial release.