Finite word

AUTHORS:

  • Arnaud Bergeron

  • Amy Glen

  • Sébastien Labbé

  • Franco Saliola

  • Julien Leroy (March 2010): reduced_rauzy_graph

EXAMPLES:

Creation of a finite word

Finite words from Python strings, lists and tuples:

sage: Word("abbabaab")
word: abbabaab
sage: Word([0, 1, 1, 0, 1, 0, 0, 1])
word: 01101001
sage: Word( ('a', 0, 5, 7, 'b', 9, 8) )
word: a057b98
>>> from sage.all import *
>>> Word("abbabaab")
word: abbabaab
>>> Word([Integer(0), Integer(1), Integer(1), Integer(0), Integer(1), Integer(0), Integer(0), Integer(1)])
word: 01101001
>>> Word( ('a', Integer(0), Integer(5), Integer(7), 'b', Integer(9), Integer(8)) )
word: a057b98

Finite words from functions:

sage: f = lambda n : n%3
sage: Word(f, length=13)
word: 0120120120120
>>> from sage.all import *
>>> f = lambda n : n%Integer(3)
>>> Word(f, length=Integer(13))
word: 0120120120120

Finite words from iterators:

sage: from itertools import count
sage: Word(count(), length=10)
word: 0123456789
>>> from sage.all import *
>>> from itertools import count
>>> Word(count(), length=Integer(10))
word: 0123456789

sage: Word( iter('abbccdef') )
word: abbccdef
>>> from sage.all import *
>>> Word( iter('abbccdef') )
word: abbccdef

Finite words from words via concatenation:

sage: u = Word("abcccabba")
sage: v = Word([0, 4, 8, 8, 3])
sage: u * v
word: abcccabba04883
sage: v * u
word: 04883abcccabba
sage: u + v
word: abcccabba04883
sage: u^3 * v^(8/5)
word: abcccabbaabcccabbaabcccabba04883048
>>> from sage.all import *
>>> u = Word("abcccabba")
>>> v = Word([Integer(0), Integer(4), Integer(8), Integer(8), Integer(3)])
>>> u * v
word: abcccabba04883
>>> v * u
word: 04883abcccabba
>>> u + v
word: abcccabba04883
>>> u**Integer(3) * v**(Integer(8)/Integer(5))
word: abcccabbaabcccabbaabcccabba04883048

Finite words from infinite words:

sage: vv = v^Infinity
sage: vv[10000:10015]
word: 048830488304883
>>> from sage.all import *
>>> vv = v**Infinity
>>> vv[Integer(10000):Integer(10015)]
word: 048830488304883

Finite words in a specific combinatorial class:

sage: W = Words("ab")
sage: W
Finite and infinite words over {'a', 'b'}
sage: W("abbabaab")
word: abbabaab
sage: W(["a","b","b","a","b","a","a","b"])
word: abbabaab
sage: W( iter('ababab') )
word: ababab
>>> from sage.all import *
>>> W = Words("ab")
>>> W
Finite and infinite words over {'a', 'b'}
>>> W("abbabaab")
word: abbabaab
>>> W(["a","b","b","a","b","a","a","b"])
word: abbabaab
>>> W( iter('ababab') )
word: ababab

Finite word as the image under a morphism:

sage: m = WordMorphism({0:[4,4,5,0],5:[0,5,5],4:[4,0,0,0]})
sage: m(0)
word: 4450
sage: m(0, order=2)
word: 400040000554450
sage: m(0, order=3)
word: 4000445044504450400044504450445044500550...
>>> from sage.all import *
>>> m = WordMorphism({Integer(0):[Integer(4),Integer(4),Integer(5),Integer(0)],Integer(5):[Integer(0),Integer(5),Integer(5)],Integer(4):[Integer(4),Integer(0),Integer(0),Integer(0)]})
>>> m(Integer(0))
word: 4450
>>> m(Integer(0), order=Integer(2))
word: 400040000554450
>>> m(Integer(0), order=Integer(3))
word: 4000445044504450400044504450445044500550...

Note

The following two finite words have the same string representation:

sage: w = Word('010120')
sage: z = Word([0, 1, 0, 1, 2, 0])
sage: w
word: 010120
sage: z
word: 010120
>>> from sage.all import *
>>> w = Word('010120')
>>> z = Word([Integer(0), Integer(1), Integer(0), Integer(1), Integer(2), Integer(0)])
>>> w
word: 010120
>>> z
word: 010120

but are not equal:

sage: w == z
False
>>> from sage.all import *
>>> w == z
False

Indeed, w and z are defined on different alphabets:

sage: w[2]
'0'
sage: z[2]
0
>>> from sage.all import *
>>> w[Integer(2)]
'0'
>>> z[Integer(2)]
0

Functions and algorithms

There are more than 100 functions defined on a finite word. Here are some of them:

sage: w = Word('abaabbba'); w
word: abaabbba
sage: w.is_palindrome()
False
sage: w.is_lyndon()
False
sage: w.number_of_factors()
28
sage: w.critical_exponent()
3
>>> from sage.all import *
>>> w = Word('abaabbba'); w
word: abaabbba
>>> w.is_palindrome()
False
>>> w.is_lyndon()
False
>>> w.number_of_factors()
28
>>> w.critical_exponent()
3

sage: print(w.lyndon_factorization())
(ab, aabbb, a)
sage: print(w.crochemore_factorization())
(a, b, a, ab, bb, a)
>>> from sage.all import *
>>> print(w.lyndon_factorization())
(ab, aabbb, a)
>>> print(w.crochemore_factorization())
(a, b, a, ab, bb, a)

sage: st = w.suffix_tree()
sage: st
Implicit Suffix Tree of the word: abaabbba
sage: st.show(word_labels=True)                                                     # needs sage.plot
>>> from sage.all import *
>>> st = w.suffix_tree()
>>> st
Implicit Suffix Tree of the word: abaabbba
>>> st.show(word_labels=True)                                                     # needs sage.plot

sage: T = words.FibonacciWord('ab')
sage: T.longest_common_prefix(Word('abaabababbbbbb'))
word: abaababa
>>> from sage.all import *
>>> T = words.FibonacciWord('ab')
>>> T.longest_common_prefix(Word('abaabababbbbbb'))
word: abaababa

As matrix and many other sage objects, words have a parent:

sage: u = Word('xyxxyxyyy')
sage: u.parent()
Finite words over Set of Python objects of class 'object'
>>> from sage.all import *
>>> u = Word('xyxxyxyyy')
>>> u.parent()
Finite words over Set of Python objects of class 'object'

sage: v = Word('xyxxyxyyy', alphabet='xy')
sage: v.parent()
Finite words over {'x', 'y'}
>>> from sage.all import *
>>> v = Word('xyxxyxyyy', alphabet='xy')
>>> v.parent()
Finite words over {'x', 'y'}

Factors and Rauzy Graphs

Enumeration of factors, the successive values returned by next(it) can appear in a different order depending on hardware. Therefore we mark the three first results of the test random. The important test is that the iteration stops properly on the fourth call:

sage: w = Word([4,5,6])^7
sage: it = w.factor_iterator(4)
sage: next(it) # random
word: 6456
sage: next(it) # random
word: 5645
sage: next(it) # random
word: 4564
sage: next(it)
Traceback (most recent call last):
...
StopIteration
>>> from sage.all import *
>>> w = Word([Integer(4),Integer(5),Integer(6)])**Integer(7)
>>> it = w.factor_iterator(Integer(4))
>>> next(it) # random
word: 6456
>>> next(it) # random
word: 5645
>>> next(it) # random
word: 4564
>>> next(it)
Traceback (most recent call last):
...
StopIteration

The set of factors:

sage: sorted(w.factor_set(3))
[word: 456, word: 564, word: 645]
sage: sorted(w.factor_set(4))
[word: 4564, word: 5645, word: 6456]
sage: w.factor_set().cardinality()
61
>>> from sage.all import *
>>> sorted(w.factor_set(Integer(3)))
[word: 456, word: 564, word: 645]
>>> sorted(w.factor_set(Integer(4)))
[word: 4564, word: 5645, word: 6456]
>>> w.factor_set().cardinality()
61

Rauzy graphs:

sage: f = words.FibonacciWord()[:30]
sage: f.rauzy_graph(4)                                                              # needs sage.graphs
Looped digraph on 5 vertices
sage: f.reduced_rauzy_graph(4)                                                      # needs sage.graphs
Looped multi-digraph on 2 vertices
>>> from sage.all import *
>>> f = words.FibonacciWord()[:Integer(30)]
>>> f.rauzy_graph(Integer(4))                                                              # needs sage.graphs
Looped digraph on 5 vertices
>>> f.reduced_rauzy_graph(Integer(4))                                                      # needs sage.graphs
Looped multi-digraph on 2 vertices

Left-special and bispecial factors:

sage: f.number_of_left_special_factors(7)
1
sage: f.bispecial_factors()
[word: , word: 0, word: 010, word: 010010, word: 01001010010]
>>> from sage.all import *
>>> f.number_of_left_special_factors(Integer(7))
1
>>> f.bispecial_factors()
[word: , word: 0, word: 010, word: 010010, word: 01001010010]
class sage.combinat.words.finite_word.CallableFromListOfWords(words)[source]

Bases: tuple

A class to create a callable from a list of words. The concatenation of a list of words is obtained by creating a word from this callable.

class sage.combinat.words.finite_word.Factorization(iterable=(), /)[source]

Bases: list

A list subclass having a nicer representation for factorization of words.

class sage.combinat.words.finite_word.FiniteWord_class[source]

Bases: Word_class

BWT()[source]

Return the Burrows-Wheeler Transform (BWT) of self.

The Burrows-Wheeler transform of a finite word \(w\) is obtained from \(w\) by first listing the conjugates of \(w\) in lexicographic order and then concatenating the final letters of the conjugates in this order. See [BW1994].

EXAMPLES:

sage: Word('abaccaaba').BWT()
word: cbaabaaca
sage: Word('abaab').BWT()
word: bbaaa
sage: Word('bbabbaca').BWT()
word: cbbbbaaa
sage: Word('aabaab').BWT()
word: bbaaaa
sage: Word().BWT()
word:
sage: Word('a').BWT()
word: a
>>> from sage.all import *
>>> Word('abaccaaba').BWT()
word: cbaabaaca
>>> Word('abaab').BWT()
word: bbaaa
>>> Word('bbabbaca').BWT()
word: cbbbbaaa
>>> Word('aabaab').BWT()
word: bbaaaa
>>> Word().BWT()
word:
>>> Word('a').BWT()
word: a
LZ_decomposition()[source]

Return the Crochemore factorization of self as an ordered list of factors.

The Crochemore factorization or the Lempel-Ziv decomposition of a finite word \(w\) is the unique factorization: \((x_1, x_2, \ldots, x_n)\) of \(w\) with each \(x_i\) satisfying either: C1. \(x_i\) is a letter that does not appear in \(u = x_1\ldots x_{i-1}\); C2. \(x_i\) is the longest prefix of \(v = x_i\ldots x_n\) that also has an occurrence beginning within \(u = x_1\ldots x_{i-1}\). See [Cro1983].

EXAMPLES:

sage: x = Word('abababb')
sage: x.crochemore_factorization()
(a, b, abab, b)
sage: mul(x.crochemore_factorization()) == x
True
sage: y = Word('abaababacabba')
sage: y.crochemore_factorization()
(a, b, a, aba, ba, c, ab, ba)
sage: mul(y.crochemore_factorization()) == y
True
sage: x = Word([0,1,0,1,0,1,1])
sage: x.crochemore_factorization()
(0, 1, 0101, 1)
sage: mul(x.crochemore_factorization()) == x
True
>>> from sage.all import *
>>> x = Word('abababb')
>>> x.crochemore_factorization()
(a, b, abab, b)
>>> mul(x.crochemore_factorization()) == x
True
>>> y = Word('abaababacabba')
>>> y.crochemore_factorization()
(a, b, a, aba, ba, c, ab, ba)
>>> mul(y.crochemore_factorization()) == y
True
>>> x = Word([Integer(0),Integer(1),Integer(0),Integer(1),Integer(0),Integer(1),Integer(1)])
>>> x.crochemore_factorization()
(0, 1, 0101, 1)
>>> mul(x.crochemore_factorization()) == x
True
abelian_complexity(n)[source]

Return the number of abelian vectors of factors of length n of self.

EXAMPLES:

sage: w = words.FibonacciWord()[:100]
sage: [w.abelian_complexity(i) for i in range(20)]
[1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(100)]
>>> [w.abelian_complexity(i) for i in range(Integer(20))]
[1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]

sage: w = words.ThueMorseWord()[:100]
sage: [w.abelian_complexity(i) for i in range(20)]
[1, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2]
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(100)]
>>> [w.abelian_complexity(i) for i in range(Integer(20))]
[1, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2]
abelian_vector()[source]

Return the abelian vector of self counting the occurrences of each letter.

The vector is defined w.r.t. the order of the alphabet of the parent. See also evaluation_dict().

INPUT:

  • self – word having a parent on a finite alphabet

OUTPUT: list

EXAMPLES:

sage: W = Words('ab')
sage: W('aaabbbbb').abelian_vector()
[3, 5]
sage: W('a').abelian_vector()
[1, 0]
sage: W().abelian_vector()
[0, 0]
>>> from sage.all import *
>>> W = Words('ab')
>>> W('aaabbbbb').abelian_vector()
[3, 5]
>>> W('a').abelian_vector()
[1, 0]
>>> W().abelian_vector()
[0, 0]

The result depends on the alphabet of the parent:

sage: W = Words('abc')
sage: W('aabaa').abelian_vector()
[4, 1, 0]
>>> from sage.all import *
>>> W = Words('abc')
>>> W('aabaa').abelian_vector()
[4, 1, 0]
abelian_vectors(n)[source]

Return the abelian vectors of factors of length n of self.

The vectors are defined w.r.t. the order of the alphabet of the parent.

OUTPUT: a set of tuples

EXAMPLES:

sage: W = Words([0,1,2])
sage: w = W([0,1,1,0,1,2,0,2,0,2])
sage: w.abelian_vectors(3)
{(1, 0, 2), (1, 1, 1), (1, 2, 0), (2, 0, 1)}
sage: w[:5].abelian_vectors(3)
{(1, 2, 0)}
sage: w[5:].abelian_vectors(3)
{(1, 0, 2), (2, 0, 1)}
>>> from sage.all import *
>>> W = Words([Integer(0),Integer(1),Integer(2)])
>>> w = W([Integer(0),Integer(1),Integer(1),Integer(0),Integer(1),Integer(2),Integer(0),Integer(2),Integer(0),Integer(2)])
>>> w.abelian_vectors(Integer(3))
{(1, 0, 2), (1, 1, 1), (1, 2, 0), (2, 0, 1)}
>>> w[:Integer(5)].abelian_vectors(Integer(3))
{(1, 2, 0)}
>>> w[Integer(5):].abelian_vectors(Integer(3))
{(1, 0, 2), (2, 0, 1)}

sage: w = words.FibonacciWord()[:100]
sage: sorted(w.abelian_vectors(0))
[(0, 0)]
sage: sorted(w.abelian_vectors(1))
[(0, 1), (1, 0)]
sage: sorted(w.abelian_vectors(7))
[(4, 3), (5, 2)]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(100)]
>>> sorted(w.abelian_vectors(Integer(0)))
[(0, 0)]
>>> sorted(w.abelian_vectors(Integer(1)))
[(0, 1), (1, 0)]
>>> sorted(w.abelian_vectors(Integer(7)))
[(4, 3), (5, 2)]

The word must be defined with a parent on a finite alphabet:

sage: from itertools import count
sage: w = Word(count(), alphabet=NN)
sage: w[:2].abelian_vectors(2)
Traceback (most recent call last):
...
TypeError: The alphabet of the parent is infinite; define the
word with a parent on a finite alphabet
>>> from sage.all import *
>>> from itertools import count
>>> w = Word(count(), alphabet=NN)
>>> w[:Integer(2)].abelian_vectors(Integer(2))
Traceback (most recent call last):
...
TypeError: The alphabet of the parent is infinite; define the
word with a parent on a finite alphabet
apply_permutation_to_letters(permutation)[source]

Return the word obtained by applying the permutation permutation of the alphabet of self to each letter of self.

EXAMPLES:

sage: w = Words('abcd')('abcd')
sage: p = [2,1,4,3]
sage: w.apply_permutation_to_letters(p)
word: badc
sage: u = Words('dabc')('abcd')
sage: u.apply_permutation_to_letters(p)
word: dcba
sage: w.apply_permutation_to_letters(Permutation(p))
word: badc
sage: w.apply_permutation_to_letters(PermutationGroupElement(p))            # needs sage.groups
word: badc
>>> from sage.all import *
>>> w = Words('abcd')('abcd')
>>> p = [Integer(2),Integer(1),Integer(4),Integer(3)]
>>> w.apply_permutation_to_letters(p)
word: badc
>>> u = Words('dabc')('abcd')
>>> u.apply_permutation_to_letters(p)
word: dcba
>>> w.apply_permutation_to_letters(Permutation(p))
word: badc
>>> w.apply_permutation_to_letters(PermutationGroupElement(p))            # needs sage.groups
word: badc
apply_permutation_to_positions(permutation)[source]

Return the word obtained by permuting the positions of the letters in self according to the permutation permutation.

EXAMPLES:

sage: w = Words('abcd')('abcd')
sage: w.apply_permutation_to_positions([2,1,4,3])
word: badc
sage: u = Words('dabc')('abcd')
sage: u.apply_permutation_to_positions([2,1,4,3])
word: badc
sage: w.apply_permutation_to_positions(Permutation([2,1,4,3]))
word: badc
sage: w.apply_permutation_to_positions(PermutationGroupElement([2,1,4,3]))  # needs sage.groups
word: badc
sage: Word([1,2,3,4]).apply_permutation_to_positions([3,4,2,1])
word: 3421
>>> from sage.all import *
>>> w = Words('abcd')('abcd')
>>> w.apply_permutation_to_positions([Integer(2),Integer(1),Integer(4),Integer(3)])
word: badc
>>> u = Words('dabc')('abcd')
>>> u.apply_permutation_to_positions([Integer(2),Integer(1),Integer(4),Integer(3)])
word: badc
>>> w.apply_permutation_to_positions(Permutation([Integer(2),Integer(1),Integer(4),Integer(3)]))
word: badc
>>> w.apply_permutation_to_positions(PermutationGroupElement([Integer(2),Integer(1),Integer(4),Integer(3)]))  # needs sage.groups
word: badc
>>> Word([Integer(1),Integer(2),Integer(3),Integer(4)]).apply_permutation_to_positions([Integer(3),Integer(4),Integer(2),Integer(1)])
word: 3421
balance()[source]

Return the balance of self.

The balance of a word is the smallest number \(q\) such that self is \(q\)-balanced [FV2002].

A finite or infinite word \(w\) is said to be \(q\)-balanced if for any two factors \(u\), \(v\) of \(w\) of the same length, the difference between the number of \(x\)’s in each of \(u\) and \(v\) is at most \(q\) for all letters \(x\) in the alphabet of \(w\). A \(1\)-balanced word is simply said to be balanced. See Chapter 2 of [Lot2002].

OUTPUT: integer

EXAMPLES:

sage: Word('1111111').balance()
0
sage: Word('001010101011').balance()
2
sage: Word('0101010101').balance()
1
>>> from sage.all import *
>>> Word('1111111').balance()
0
>>> Word('001010101011').balance()
2
>>> Word('0101010101').balance()
1

sage: w = Word('11112222')
sage: w.is_balanced(2)
False
sage: w.is_balanced(3)
False
sage: w.is_balanced(4)
True
sage: w.is_balanced(5)
True
sage: w.balance()
4
>>> from sage.all import *
>>> w = Word('11112222')
>>> w.is_balanced(Integer(2))
False
>>> w.is_balanced(Integer(3))
False
>>> w.is_balanced(Integer(4))
True
>>> w.is_balanced(Integer(5))
True
>>> w.balance()
4
bispecial_factors(n=None)[source]

Return the bispecial factors (of length n).

A factor \(u\) of a word \(w\) is bispecial if it is right special and left special.

INPUT:

  • n – integer (default: None); if None, it returns all bispecial factors

OUTPUT: list of words

EXAMPLES:

sage: w = words.FibonacciWord()[:30]
sage: w.bispecial_factors()
[word: , word: 0, word: 010, word: 010010, word: 01001010010]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(30)]
>>> w.bispecial_factors()
[word: , word: 0, word: 010, word: 010010, word: 01001010010]

sage: w = words.ThueMorseWord()[:30]
sage: for i in range(10):
....:     print("{} {}".format(i, sorted(w.bispecial_factors(i))))
0 [word: ]
1 [word: 0, word: 1]
2 [word: 01, word: 10]
3 [word: 010, word: 101]
4 [word: 0110, word: 1001]
5 []
6 [word: 011001, word: 100110]
7 []
8 [word: 10010110]
9 []
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(30)]
>>> for i in range(Integer(10)):
...     print("{} {}".format(i, sorted(w.bispecial_factors(i))))
0 [word: ]
1 [word: 0, word: 1]
2 [word: 01, word: 10]
3 [word: 010, word: 101]
4 [word: 0110, word: 1001]
5 []
6 [word: 011001, word: 100110]
7 []
8 [word: 10010110]
9 []
bispecial_factors_iterator(n=None)[source]

Return an iterator over the bispecial factors (of length n).

A factor \(u\) of a word \(w\) is bispecial if it is right special and left special.

INPUT:

  • n – integer (default: None); if None, it returns an iterator over all bispecial factors

EXAMPLES:

sage: w = words.ThueMorseWord()[:30]
sage: for i in range(10):
....:     for u in sorted(w.bispecial_factors_iterator(i)):
....:         print("{} {}".format(i,u))
0
1 0
1 1
2 01
2 10
3 010
3 101
4 0110
4 1001
6 011001
6 100110
8 10010110
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(30)]
>>> for i in range(Integer(10)):
...     for u in sorted(w.bispecial_factors_iterator(i)):
...         print("{} {}".format(i,u))
0
1 0
1 1
2 01
2 10
3 010
3 101
4 0110
4 1001
6 011001
6 100110
8 10010110

sage: key = lambda u : (len(u), u)
sage: for u in sorted(w.bispecial_factors_iterator(), key=key): u
word:
word: 0
word: 1
word: 01
word: 10
word: 010
word: 101
word: 0110
word: 1001
word: 011001
word: 100110
word: 10010110
>>> from sage.all import *
>>> key = lambda u : (len(u), u)
>>> for u in sorted(w.bispecial_factors_iterator(), key=key): u
word:
word: 0
word: 1
word: 01
word: 10
word: 010
word: 101
word: 0110
word: 1001
word: 011001
word: 100110
word: 10010110
border()[source]

Return the longest word that is both a proper prefix and a proper suffix of self.

EXAMPLES:

sage: Word('121212').border()
word: 1212
sage: Word('12321').border()
word: 1
sage: Word().border() is None
True
>>> from sage.all import *
>>> Word('121212').border()
word: 1212
>>> Word('12321').border()
word: 1
>>> Word().border() is None
True
charge(check=True)[source]

Return the charge of self. This is defined as follows.

If \(w\) is a permutation of length \(n\), (in other words, the evaluation of \(w\) is \((1, 1, \dots, 1)\)), the statistic charge(\(w\)) is given by \(\sum_{i=1}^n c_i(w)\) where \(c_1(w) = 0\) and \(c_i(w)\) is defined recursively by setting \(p_i\) equal to \(1\) if \(i\) appears to the right of \(i-1\) in \(w\) and \(0\) otherwise. Then we set \(c_i(w) = c_{i-1}(w) + p_i\).

EXAMPLES:

sage: Word([1, 2, 3]).charge()
3
sage: Word([3, 5, 1, 4, 2]).charge() == 0 + 1 + 1 + 2 + 2
True
>>> from sage.all import *
>>> Word([Integer(1), Integer(2), Integer(3)]).charge()
3
>>> Word([Integer(3), Integer(5), Integer(1), Integer(4), Integer(2)]).charge() == Integer(0) + Integer(1) + Integer(1) + Integer(2) + Integer(2)
True

If \(w\) is not a permutation, but the evaluation of \(w\) is a partition, the charge of \(w\) is defined to be the sum of its charge subwords (each of which will be a permutation). The first charge subword is found by starting at the end of \(w\) and moving left until the first \(1\) is found. This is marked, and we continue to move to the left until the first \(2\) is found, wrapping around from the beginning of the word back to the end, if necessary. We mark this \(2\), and continue on until we have marked the largest letter in \(w\). The marked letters, with relative order preserved, form the first charge subword of \(w\). This subword is removed, and the next charge subword is found in the same manner from the remaining letters. In the following example, \(w1, w2, w3\) are the charge subwords of \(w\).

EXAMPLES:

sage: w = Word([5,2,3,4,4,1,1,1,2,2,3])
sage: w1 = Word([5, 2, 4, 1, 3])
sage: w2 = Word([3, 4, 1, 2])
sage: w3 = Word([1, 2])
sage: w.charge() == w1.charge() + w2.charge() + w3.charge()
True
>>> from sage.all import *
>>> w = Word([Integer(5),Integer(2),Integer(3),Integer(4),Integer(4),Integer(1),Integer(1),Integer(1),Integer(2),Integer(2),Integer(3)])
>>> w1 = Word([Integer(5), Integer(2), Integer(4), Integer(1), Integer(3)])
>>> w2 = Word([Integer(3), Integer(4), Integer(1), Integer(2)])
>>> w3 = Word([Integer(1), Integer(2)])
>>> w.charge() == w1.charge() + w2.charge() + w3.charge()
True

Finally, if \(w\) does not have partition content, we apply the Lascoux-Schützenberger standardization operators \(s_i\) in such a manner as to obtain a word with partition content. (The word we obtain is independent of the choice of operators.) The charge is then defined to be the charge of this word:

sage: Word([3,3,2,1,1]).charge()
0
sage: Word([1,2,3,1,2]).charge()
2
>>> from sage.all import *
>>> Word([Integer(3),Integer(3),Integer(2),Integer(1),Integer(1)]).charge()
0
>>> Word([Integer(1),Integer(2),Integer(3),Integer(1),Integer(2)]).charge()
2

Note that this differs from the definition of charge given in Macdonald’s book. The difference amounts to a choice of reading a word from left-to-right or right-to-left. The choice in Sage was made to agree with the definition of a reading word of a tableau in Sage, and seems to be the more common convention in the literature.

See [Mac1995], [LLM2003], and [LLT].

cocharge()[source]

Return the cocharge of self. For a word \(w\), this can be defined as \(n_{ev} - ch(w)\), where \(ch(w)\) is the charge of \(w\) and \(ev\) is the evaluation of \(w\), and \(n_{ev}\) is \(\sum_{i<j} min(ev_i, ev_j)\).

EXAMPLES:

sage: Word([1,2,3]).cocharge()
0
sage: Word([3,2,1]).cocharge()
3
sage: Word([1,1,2]).cocharge()
0
sage: Word([2,1,2]).cocharge()
1
>>> from sage.all import *
>>> Word([Integer(1),Integer(2),Integer(3)]).cocharge()
0
>>> Word([Integer(3),Integer(2),Integer(1)]).cocharge()
3
>>> Word([Integer(1),Integer(1),Integer(2)]).cocharge()
0
>>> Word([Integer(2),Integer(1),Integer(2)]).cocharge()
1
coerce(other)[source]

Try to return a pair of words with a common parent; raise an exception if this is not possible.

This function begins by checking if both words have the same parent. If this is the case, then no work is done and both words are returned as-is.

Otherwise it will attempt to convert other to the domain of self. If that fails, it will attempt to convert self to the domain of other. If both attempts fail, it raises a TypeError to signal failure.

EXAMPLES:

sage: W1 = Words('abc'); W2 = Words('ab')
sage: w1 = W1('abc'); w2 = W2('abba'); w3 = W1('baab')
sage: w1.parent() is w2.parent()
False
sage: a, b = w1.coerce(w2)
sage: a.parent() is b.parent()
True
sage: w1.parent() is w2.parent()
False
>>> from sage.all import *
>>> W1 = Words('abc'); W2 = Words('ab')
>>> w1 = W1('abc'); w2 = W2('abba'); w3 = W1('baab')
>>> w1.parent() is w2.parent()
False
>>> a, b = w1.coerce(w2)
>>> a.parent() is b.parent()
True
>>> w1.parent() is w2.parent()
False
colored_vector(x=0, y=0, width='default', height=1, cmap='hsv', thickness=1, label=None)[source]

Return a vector (Graphics object) illustrating self. Each letter is represented by a coloured rectangle.

If the parent of self is a class of words over a finite alphabet, then each letter in the alphabet is assigned a unique colour, and this colour will be the same every time this method is called. This is especially useful when plotting and comparing words defined on the same alphabet.

If the alphabet is infinite, then the letters appearing in the word are used as the alphabet.

INPUT:

  • x – (default: 0) bottom left x-coordinate of the vector

  • y – (default: 0) bottom left y-coordinate of the vector

  • width – (default: 'default') width of the vector. By default, the width is the length of self.

  • height – (default: 1) height of the vector

  • thickness – (default: 1) thickness of the contour

  • cmap – (default: 'hsv') color map; for available color map names type: import matplotlib.cm; list(matplotlib.cm.datad)

  • label – string (default: None); a label to add on the colored vector

OUTPUT: Graphics

EXAMPLES:

sage: # needs sage.plot
sage: Word(range(20)).colored_vector()
Graphics object consisting of 21 graphics primitives
sage: Word(range(100)).colored_vector(0,0,10,1)
Graphics object consisting of 101 graphics primitives
sage: Words(range(100))(range(10)).colored_vector()
Graphics object consisting of 11 graphics primitives
sage: w = Word('abbabaab')
sage: w.colored_vector()
Graphics object consisting of 9 graphics primitives
sage: w.colored_vector(cmap='autumn')
Graphics object consisting of 9 graphics primitives
sage: Word(range(20)).colored_vector(label='Rainbow')
Graphics object consisting of 23 graphics primitives
>>> from sage.all import *
>>> # needs sage.plot
>>> Word(range(Integer(20))).colored_vector()
Graphics object consisting of 21 graphics primitives
>>> Word(range(Integer(100))).colored_vector(Integer(0),Integer(0),Integer(10),Integer(1))
Graphics object consisting of 101 graphics primitives
>>> Words(range(Integer(100)))(range(Integer(10))).colored_vector()
Graphics object consisting of 11 graphics primitives
>>> w = Word('abbabaab')
>>> w.colored_vector()
Graphics object consisting of 9 graphics primitives
>>> w.colored_vector(cmap='autumn')
Graphics object consisting of 9 graphics primitives
>>> Word(range(Integer(20))).colored_vector(label='Rainbow')
Graphics object consisting of 23 graphics primitives

When two words are defined under the same parent, same letters are mapped to same colors:

sage: W = Words(range(20))
sage: w = W(range(20))
sage: y = W(range(10,20))
sage: y.colored_vector(y=1, x=10) + w.colored_vector()                      # needs sage.plot
Graphics object consisting of 32 graphics primitives
>>> from sage.all import *
>>> W = Words(range(Integer(20)))
>>> w = W(range(Integer(20)))
>>> y = W(range(Integer(10),Integer(20)))
>>> y.colored_vector(y=Integer(1), x=Integer(10)) + w.colored_vector()                      # needs sage.plot
Graphics object consisting of 32 graphics primitives
commutes_with(other)[source]

Return True if self commutes with other, and False otherwise.

EXAMPLES:

sage: Word('12').commutes_with(Word('12'))
True
sage: Word('12').commutes_with(Word('11'))
False
sage: Word().commutes_with(Word('21'))
True
>>> from sage.all import *
>>> Word('12').commutes_with(Word('12'))
True
>>> Word('12').commutes_with(Word('11'))
False
>>> Word().commutes_with(Word('21'))
True
complete_return_words(fact)[source]

Return the set of complete return words of fact in self.

This is the set of all factors starting by the given factor and ending just after the next occurrence of this factor. See for instance [JV2000].

INPUT:

  • fact – a non-empty finite word

OUTPUT: a Python set of finite words

EXAMPLES:

sage: s = Word('21331233213231').complete_return_words(Word('2'))
sage: sorted(s)
[word: 2132, word: 213312, word: 2332]
sage: Word('').complete_return_words(Word('213'))
set()
sage: Word('121212').complete_return_words(Word('1212'))
{word: 121212}
>>> from sage.all import *
>>> s = Word('21331233213231').complete_return_words(Word('2'))
>>> sorted(s)
[word: 2132, word: 213312, word: 2332]
>>> Word('').complete_return_words(Word('213'))
set()
>>> Word('121212').complete_return_words(Word('1212'))
{word: 121212}
concatenate(other)[source]

Return the concatenation of self and other.

INPUT:

  • other – a word over the same alphabet as self

EXAMPLES:

Concatenation may be made using + or * operations:

sage: w = Word('abadafd')
sage: y = Word([5,3,5,8,7])
sage: w * y
word: abadafd53587
sage: w + y
word: abadafd53587
sage: w.concatenate(y)
word: abadafd53587
>>> from sage.all import *
>>> w = Word('abadafd')
>>> y = Word([Integer(5),Integer(3),Integer(5),Integer(8),Integer(7)])
>>> w * y
word: abadafd53587
>>> w + y
word: abadafd53587
>>> w.concatenate(y)
word: abadafd53587

Both words must be defined over the same alphabet:

sage: z = Word('12223', alphabet = '123')
sage: z + y
Traceback (most recent call last):
...
ValueError: 5 not in alphabet
>>> from sage.all import *
>>> z = Word('12223', alphabet = '123')
>>> z + y
Traceback (most recent call last):
...
ValueError: 5 not in alphabet

Eventually, it should work:

sage: z = Word('12223', alphabet = '123')
sage: z + y                   #todo: not implemented
word: 1222353587
>>> from sage.all import *
>>> z = Word('12223', alphabet = '123')
>>> z + y                   #todo: not implemented
word: 1222353587
conjugate(pos)[source]

Return the conjugate at pos of self.

pos can be any integer, the distance used is the modulo by the length of self.

EXAMPLES:

sage: Word('12112').conjugate(1)
word: 21121
sage: Word().conjugate(2)
word:
sage: Word('12112').conjugate(8)
word: 12121
sage: Word('12112').conjugate(-1)
word: 21211
>>> from sage.all import *
>>> Word('12112').conjugate(Integer(1))
word: 21121
>>> Word().conjugate(Integer(2))
word:
>>> Word('12112').conjugate(Integer(8))
word: 12121
>>> Word('12112').conjugate(-Integer(1))
word: 21211
conjugate_position(other)[source]

Return the position where self is conjugate with other. Return None if there is no such position.

EXAMPLES:

sage: Word('12113').conjugate_position(Word('31211'))
1
sage: Word('12131').conjugate_position(Word('12113')) is None
True
sage: Word().conjugate_position(Word('123')) is None
True
>>> from sage.all import *
>>> Word('12113').conjugate_position(Word('31211'))
1
>>> Word('12131').conjugate_position(Word('12113')) is None
True
>>> Word().conjugate_position(Word('123')) is None
True
conjugates()[source]

Return the list of unique conjugates of self.

EXAMPLES:

sage: Word(range(6)).conjugates()
[word: 012345,
 word: 123450,
 word: 234501,
 word: 345012,
 word: 450123,
 word: 501234]
sage: Word('cbbca').conjugates()
[word: cbbca, word: bbcac, word: bcacb, word: cacbb, word: acbbc]
>>> from sage.all import *
>>> Word(range(Integer(6))).conjugates()
[word: 012345,
 word: 123450,
 word: 234501,
 word: 345012,
 word: 450123,
 word: 501234]
>>> Word('cbbca').conjugates()
[word: cbbca, word: bbcac, word: bcacb, word: cacbb, word: acbbc]

The result contains each conjugate only once:

sage: Word('abcabc').conjugates()
[word: abcabc, word: bcabca, word: cabcab]
>>> from sage.all import *
>>> Word('abcabc').conjugates()
[word: abcabc, word: bcabca, word: cabcab]
conjugates_iterator()[source]

Return an iterator over the conjugates of self.

EXAMPLES:

sage: it = Word(range(4)).conjugates_iterator()
sage: for w in it: w
word: 0123
word: 1230
word: 2301
word: 3012
>>> from sage.all import *
>>> it = Word(range(Integer(4))).conjugates_iterator()
>>> for w in it: w
word: 0123
word: 1230
word: 2301
word: 3012
content(n=None)[source]

Return content of self.

INPUT:

  • n – (optional) an integer specifying the maximal letter in the alphabet

OUTPUT: list where the \(i\)-th entry indicates the multiplicity of the \(i\)-th letter in the alphabet in self

EXAMPLES:

sage: w = Word([1,2,4,3,2,2,2])
sage: w.content()
[1, 4, 1, 1]
sage: w = Word([3,1])
sage: w.content()
[1, 1]
sage: w.content(n=3)
[1, 0, 1]
sage: w = Word([2,4],alphabet=[1,2,3,4])
sage: w.content(n=3)
[0, 1, 0]
sage: w.content()
[0, 1, 0, 1]
>>> from sage.all import *
>>> w = Word([Integer(1),Integer(2),Integer(4),Integer(3),Integer(2),Integer(2),Integer(2)])
>>> w.content()
[1, 4, 1, 1]
>>> w = Word([Integer(3),Integer(1)])
>>> w.content()
[1, 1]
>>> w.content(n=Integer(3))
[1, 0, 1]
>>> w = Word([Integer(2),Integer(4)],alphabet=[Integer(1),Integer(2),Integer(3),Integer(4)])
>>> w.content(n=Integer(3))
[0, 1, 0]
>>> w.content()
[0, 1, 0, 1]
count(letter)[source]

Return the number of occurrences of letter in self.

INPUT:

  • letter – a letter

OUTPUT: integer

EXAMPLES:

sage: w = Word('abbabaab')
sage: w.number_of_letter_occurrences('a')
4
sage: w.number_of_letter_occurrences('ab')
0
>>> from sage.all import *
>>> w = Word('abbabaab')
>>> w.number_of_letter_occurrences('a')
4
>>> w.number_of_letter_occurrences('ab')
0

This methods is equivalent to list(w).count(letter) and tuple(w).count(letter), thus count is an alias for the method number_of_letter_occurrences:

sage: list(w).count('a')
4
sage: w.count('a')
4
>>> from sage.all import *
>>> list(w).count('a')
4
>>> w.count('a')
4

But notice that if s and w are strings, Word(s).count(w) counts the number occurrences of w as a letter in Word(s) which is not the same as s.count(w) which counts the number of occurrences of the string w inside s:

sage: s = 'abbabaab'
sage: s.count('ab')
3
sage: Word(s).count('ab')
0
>>> from sage.all import *
>>> s = 'abbabaab'
>>> s.count('ab')
3
>>> Word(s).count('ab')
0
critical_exponent()[source]

Return the critical exponent of self.

The critical exponent of a word is the supremum of the order of all its (finite) factors. See [Dej1972].

Note

The implementation here uses the suffix tree to enumerate all the factors. It should be improved (especially when the critical exponent is larger than 2).

EXAMPLES:

sage: Word('aaba').critical_exponent()
2
sage: Word('aabaa').critical_exponent()
2
sage: Word('aabaaba').critical_exponent()
7/3
sage: Word('ab').critical_exponent()
1
sage: Word('aba').critical_exponent()
3/2
sage: words.ThueMorseWord()[:20].critical_exponent()
2
>>> from sage.all import *
>>> Word('aaba').critical_exponent()
2
>>> Word('aabaa').critical_exponent()
2
>>> Word('aabaaba').critical_exponent()
7/3
>>> Word('ab').critical_exponent()
1
>>> Word('aba').critical_exponent()
3/2
>>> words.ThueMorseWord()[:Integer(20)].critical_exponent()
2

For the Fibonacci word, the critical exponent is known to be \((5+\sqrt(5))/2\). With a prefix of length 500, we obtain a lower bound:

sage: words.FibonacciWord()[:500].critical_exponent()
320/89
>>> from sage.all import *
>>> words.FibonacciWord()[:Integer(500)].critical_exponent()
320/89

It is an error to compute the critical exponent of the empty word:

sage: Word('').critical_exponent()
Traceback (most recent call last):
...
ValueError: no critical exponent for empty word
>>> from sage.all import *
>>> Word('').critical_exponent()
Traceback (most recent call last):
...
ValueError: no critical exponent for empty word
crochemore_factorization()[source]

Return the Crochemore factorization of self as an ordered list of factors.

The Crochemore factorization or the Lempel-Ziv decomposition of a finite word \(w\) is the unique factorization: \((x_1, x_2, \ldots, x_n)\) of \(w\) with each \(x_i\) satisfying either: C1. \(x_i\) is a letter that does not appear in \(u = x_1\ldots x_{i-1}\); C2. \(x_i\) is the longest prefix of \(v = x_i\ldots x_n\) that also has an occurrence beginning within \(u = x_1\ldots x_{i-1}\). See [Cro1983].

EXAMPLES:

sage: x = Word('abababb')
sage: x.crochemore_factorization()
(a, b, abab, b)
sage: mul(x.crochemore_factorization()) == x
True
sage: y = Word('abaababacabba')
sage: y.crochemore_factorization()
(a, b, a, aba, ba, c, ab, ba)
sage: mul(y.crochemore_factorization()) == y
True
sage: x = Word([0,1,0,1,0,1,1])
sage: x.crochemore_factorization()
(0, 1, 0101, 1)
sage: mul(x.crochemore_factorization()) == x
True
>>> from sage.all import *
>>> x = Word('abababb')
>>> x.crochemore_factorization()
(a, b, abab, b)
>>> mul(x.crochemore_factorization()) == x
True
>>> y = Word('abaababacabba')
>>> y.crochemore_factorization()
(a, b, a, aba, ba, c, ab, ba)
>>> mul(y.crochemore_factorization()) == y
True
>>> x = Word([Integer(0),Integer(1),Integer(0),Integer(1),Integer(0),Integer(1),Integer(1)])
>>> x.crochemore_factorization()
(0, 1, 0101, 1)
>>> mul(x.crochemore_factorization()) == x
True
defect(f=None)[source]

Return the defect of self.

The defect of a finite word \(w\) is given by the difference between the maximum number of possible palindromic factors in a word of length \(|w|\) and the actual number of palindromic factors contained in \(w\). It is well known that the maximum number of palindromic factors in \(w\) is \(|w|+1\) (see [DJP2001]).

An optional involution on letters f can be given. In that case, the f-palindromic defect (or pseudopalindromic defect, or theta-palindromic defect) of \(w\) is returned. It is a generalization of defect to f-palindromes. More precisely, the defect is \(D(w)=|w|+1-g_f(w)-|PAL_f(w)|\), where \(PAL_f(w)\) denotes the set of f-palindromic factors of \(w\) (including the empty word) and \(g_f(w)\) is the number of pairs \(\{a, f(a)\}\) such that \(a\) is a letter, \(a\) is not equal to \(f(a)\), and \(a\) or \(f(a)\) occurs in \(w\). In the case of usual palindromes (i.e., for f not given or equal to the identity), \(g_f(w) = 0\) for all \(w\). See [BHNR2004] for usual palindromes and [Star2011] for f-palindromes.

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism). The default value corresponds to usual palindromes, i.e., f equal to the identity.

OUTPUT:

an integer – If f is None, the palindromic defect of self; otherwise, the f-palindromic defect of self.

EXAMPLES:

sage: Word('ara').defect()
0
sage: Word('abcacba').defect()
1
>>> from sage.all import *
>>> Word('ara').defect()
0
>>> Word('abcacba').defect()
1

It is known that Sturmian words (see [DJP2001]) have zero defect:

sage: words.FibonacciWord()[:100].defect()
0

sage: sa = WordMorphism('a->ab,b->b')
sage: sb = WordMorphism('a->a,b->ba')
sage: w = (sa*sb*sb*sa*sa*sa*sb).fixed_point('a')
sage: w[:30].defect()                                                       # needs sage.modules
0
sage: w[110:140].defect()                                                   # needs sage.modules
0
>>> from sage.all import *
>>> words.FibonacciWord()[:Integer(100)].defect()
0

>>> sa = WordMorphism('a->ab,b->b')
>>> sb = WordMorphism('a->a,b->ba')
>>> w = (sa*sb*sb*sa*sa*sa*sb).fixed_point('a')
>>> w[:Integer(30)].defect()                                                       # needs sage.modules
0
>>> w[Integer(110):Integer(140)].defect()                                                   # needs sage.modules
0

It is even conjectured that the defect of an aperiodic word which is a fixed point of a primitive morphism is either \(0\) or infinite (see [BBGL2008]):

sage: w = words.ThueMorseWord()
sage: w[:50].defect()                                                       # needs sage.modules
12
sage: w[:100].defect()                                                      # needs sage.modules
16
sage: w[:300].defect()                                                      # needs sage.modules
52
>>> from sage.all import *
>>> w = words.ThueMorseWord()
>>> w[:Integer(50)].defect()                                                       # needs sage.modules
12
>>> w[:Integer(100)].defect()                                                      # needs sage.modules
16
>>> w[:Integer(300)].defect()                                                      # needs sage.modules
52

For generalized defect with an involution different from the identity, there is always a letter which is not a palindrome! This is the reason for the modification of the definition:

sage: f = WordMorphism('a->b,b->a')
sage: Word('a').defect(f)
0
sage: Word('ab').defect(f)
0
sage: Word('aa').defect(f)
1
sage: Word('abbabaabbaababba').defect(f)
3
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> Word('a').defect(f)
0
>>> Word('ab').defect(f)
0
>>> Word('aa').defect(f)
1
>>> Word('abbabaabbaababba').defect(f)
3

sage: f = WordMorphism('a->b,b->a,c->c')
sage: Word('cabc').defect(f)
0
sage: Word('abcaab').defect(f)
2
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a,c->c')
>>> Word('cabc').defect(f)
0
>>> Word('abcaab').defect(f)
2

Other examples:

sage: Word('000000000000').defect()
0
sage: Word('011010011001').defect()
2
sage: Word('0101001010001').defect()
0
sage: Word().defect()
0
sage: Word('abbabaabbaababba').defect()
2
>>> from sage.all import *
>>> Word('000000000000').defect()
0
>>> Word('011010011001').defect()
2
>>> Word('0101001010001').defect()
0
>>> Word().defect()
0
>>> Word('abbabaabbaababba').defect()
2
deg_inv_lex_less(other, weights=None)[source]

Return True if the word self is degree inverse lexicographically less than other.

EXAMPLES:

sage: Word([1,2,4]).deg_inv_lex_less(Word([1,3,2]))
False
sage: Word([3,2,1]).deg_inv_lex_less(Word([1,2,3]))
True
>>> from sage.all import *
>>> Word([Integer(1),Integer(2),Integer(4)]).deg_inv_lex_less(Word([Integer(1),Integer(3),Integer(2)]))
False
>>> Word([Integer(3),Integer(2),Integer(1)]).deg_inv_lex_less(Word([Integer(1),Integer(2),Integer(3)]))
True
deg_lex_less(other, weights=None)[source]

Return True if self is degree lexicographically less than other, and False otherwise. The weight of each letter in the ordered alphabet is given by weights, which defaults to [1, 2, 3, ...].

EXAMPLES:

sage: Word([1,2,3]).deg_lex_less(Word([1,3,2]))
True
sage: Word([3,2,1]).deg_lex_less(Word([1,2,3]))
False
sage: W = Words(range(5))
sage: W([1,2,4]).deg_lex_less(W([1,3,2]))
False
sage: Word("abba").deg_lex_less(Word("abbb"), dict(a=1,b=2))
True
sage: Word("abba").deg_lex_less(Word("baba"), dict(a=1,b=2))
True
sage: Word("abba").deg_lex_less(Word("aaba"), dict(a=1,b=2))
False
sage: Word("abba").deg_lex_less(Word("aaba"), dict(a=1,b=0))
True
>>> from sage.all import *
>>> Word([Integer(1),Integer(2),Integer(3)]).deg_lex_less(Word([Integer(1),Integer(3),Integer(2)]))
True
>>> Word([Integer(3),Integer(2),Integer(1)]).deg_lex_less(Word([Integer(1),Integer(2),Integer(3)]))
False
>>> W = Words(range(Integer(5)))
>>> W([Integer(1),Integer(2),Integer(4)]).deg_lex_less(W([Integer(1),Integer(3),Integer(2)]))
False
>>> Word("abba").deg_lex_less(Word("abbb"), dict(a=Integer(1),b=Integer(2)))
True
>>> Word("abba").deg_lex_less(Word("baba"), dict(a=Integer(1),b=Integer(2)))
True
>>> Word("abba").deg_lex_less(Word("aaba"), dict(a=Integer(1),b=Integer(2)))
False
>>> Word("abba").deg_lex_less(Word("aaba"), dict(a=Integer(1),b=Integer(0)))
True
deg_rev_lex_less(other, weights=None)[source]

Return True if self is degree reverse lexicographically less than other.

EXAMPLES:

sage: Word([3,2,1]).deg_rev_lex_less(Word([1,2,3]))
False
sage: Word([1,2,4]).deg_rev_lex_less(Word([1,3,2]))
False
sage: Word([1,2,3]).deg_rev_lex_less(Word([1,2,4]))
True
>>> from sage.all import *
>>> Word([Integer(3),Integer(2),Integer(1)]).deg_rev_lex_less(Word([Integer(1),Integer(2),Integer(3)]))
False
>>> Word([Integer(1),Integer(2),Integer(4)]).deg_rev_lex_less(Word([Integer(1),Integer(3),Integer(2)]))
False
>>> Word([Integer(1),Integer(2),Integer(3)]).deg_rev_lex_less(Word([Integer(1),Integer(2),Integer(4)]))
True
degree(weights=None)[source]

Return the weighted degree of self, where the weighted degree of each letter in the ordered alphabet is given by weights, which defaults to [1, 2, 3, ...].

INPUT:

  • weights – list or tuple, or dictionary keyed by the letters occurring in self

EXAMPLES:

sage: Word([1,2,3]).degree()
6
sage: Word([3,2,1]).degree()
6
sage: Words("ab")("abba").degree()
6
sage: Words("ab")("abba").degree([0,2])
4
sage: Words("ab")("abba").degree([-1,-1])
-4
sage: Words("ab")("aabba").degree([1,1])
5
sage: Words([1,2,4])([1,2,4]).degree()
6
sage: Word([1,2,4]).degree()
7
sage: Word("aabba").degree({'a':1,'b':2})
7
sage: Word([0,1,0]).degree({0:17,1:0})
34
>>> from sage.all import *
>>> Word([Integer(1),Integer(2),Integer(3)]).degree()
6
>>> Word([Integer(3),Integer(2),Integer(1)]).degree()
6
>>> Words("ab")("abba").degree()
6
>>> Words("ab")("abba").degree([Integer(0),Integer(2)])
4
>>> Words("ab")("abba").degree([-Integer(1),-Integer(1)])
-4
>>> Words("ab")("aabba").degree([Integer(1),Integer(1)])
5
>>> Words([Integer(1),Integer(2),Integer(4)])([Integer(1),Integer(2),Integer(4)]).degree()
6
>>> Word([Integer(1),Integer(2),Integer(4)]).degree()
7
>>> Word("aabba").degree({'a':Integer(1),'b':Integer(2)})
7
>>> Word([Integer(0),Integer(1),Integer(0)]).degree({Integer(0):Integer(17),Integer(1):Integer(0)})
34
delta()[source]

Return the image of self under the delta morphism.

The delta morphism, also known as the run-length encoding, is the word composed of the length of consecutive runs of the same letter in a given word.

EXAMPLES:

sage: W = Words('0123456789')
sage: W('22112122').delta()
word: 22112
sage: W('555008').delta()
word: 321
sage: W().delta()
word:
sage: Word('aabbabaa').delta()
word: 22112
>>> from sage.all import *
>>> W = Words('0123456789')
>>> W('22112122').delta()
word: 22112
>>> W('555008').delta()
word: 321
>>> W().delta()
word:
>>> Word('aabbabaa').delta()
word: 22112
delta_derivate(W=None)[source]

Return the derivative under delta for self.

EXAMPLES:

sage: W = Words('12')
sage: W('12211').delta_derivate()
word: 22
sage: W('1').delta_derivate(Words([1]))
word: 1
sage: W('2112').delta_derivate()
word: 2
sage: W('2211').delta_derivate()
word: 22
sage: W('112').delta_derivate()
word: 2
sage: W('11222').delta_derivate(Words([1, 2, 3]))
word: 3
>>> from sage.all import *
>>> W = Words('12')
>>> W('12211').delta_derivate()
word: 22
>>> W('1').delta_derivate(Words([Integer(1)]))
word: 1
>>> W('2112').delta_derivate()
word: 2
>>> W('2211').delta_derivate()
word: 22
>>> W('112').delta_derivate()
word: 2
>>> W('11222').delta_derivate(Words([Integer(1), Integer(2), Integer(3)]))
word: 3
delta_derivate_left(W=None)[source]

Return the derivative under delta for self.

EXAMPLES:

sage: W = Words('12')
sage: W('12211').delta_derivate_left()
word: 22
sage: W('1').delta_derivate_left(Words([1]))
word: 1
sage: W('2112').delta_derivate_left()
word: 21
sage: W('2211').delta_derivate_left()
word: 22
sage: W('112').delta_derivate_left()
word: 21
sage: W('11222').delta_derivate_left(Words([1, 2, 3]))
word: 3
>>> from sage.all import *
>>> W = Words('12')
>>> W('12211').delta_derivate_left()
word: 22
>>> W('1').delta_derivate_left(Words([Integer(1)]))
word: 1
>>> W('2112').delta_derivate_left()
word: 21
>>> W('2211').delta_derivate_left()
word: 22
>>> W('112').delta_derivate_left()
word: 21
>>> W('11222').delta_derivate_left(Words([Integer(1), Integer(2), Integer(3)]))
word: 3
delta_derivate_right(W=None)[source]

Return the right derivative under delta for self.

EXAMPLES:

sage: W = Words('12')
sage: W('12211').delta_derivate_right()
word: 122
sage: W('1').delta_derivate_right(Words([1]))
word: 1
sage: W('2112').delta_derivate_right()
word: 12
sage: W('2211').delta_derivate_right()
word: 22
sage: W('112').delta_derivate_right()
word: 2
sage: W('11222').delta_derivate_right(Words([1, 2, 3]))
word: 23
>>> from sage.all import *
>>> W = Words('12')
>>> W('12211').delta_derivate_right()
word: 122
>>> W('1').delta_derivate_right(Words([Integer(1)]))
word: 1
>>> W('2112').delta_derivate_right()
word: 12
>>> W('2211').delta_derivate_right()
word: 22
>>> W('112').delta_derivate_right()
word: 2
>>> W('11222').delta_derivate_right(Words([Integer(1), Integer(2), Integer(3)]))
word: 23
delta_inv(W=None, s=None)[source]

Lift self via the delta operator to obtain a word containing the letters in alphabet (default: [0, 1]). The letters used in the construction start with s (default: alphabet[0]) and cycle through alphabet.

INPUT:

  • alphabet – an iterable

  • s – an object in the iterable

EXAMPLES:

sage: W = Words([1, 2])
sage: W([2, 2, 1, 1]).delta_inv()
word: 112212
sage: W([1, 1, 1, 1]).delta_inv(Words('123'))
word: 1231
sage: W([2, 2, 1, 1, 2]).delta_inv(s=2)
word: 22112122
>>> from sage.all import *
>>> W = Words([Integer(1), Integer(2)])
>>> W([Integer(2), Integer(2), Integer(1), Integer(1)]).delta_inv()
word: 112212
>>> W([Integer(1), Integer(1), Integer(1), Integer(1)]).delta_inv(Words('123'))
word: 1231
>>> W([Integer(2), Integer(2), Integer(1), Integer(1), Integer(2)]).delta_inv(s=Integer(2))
word: 22112122
evaluation()[source]

Return the abelian vector of self counting the occurrences of each letter.

The vector is defined w.r.t. the order of the alphabet of the parent. See also evaluation_dict().

INPUT:

  • self – word having a parent on a finite alphabet

OUTPUT: list

EXAMPLES:

sage: W = Words('ab')
sage: W('aaabbbbb').abelian_vector()
[3, 5]
sage: W('a').abelian_vector()
[1, 0]
sage: W().abelian_vector()
[0, 0]
>>> from sage.all import *
>>> W = Words('ab')
>>> W('aaabbbbb').abelian_vector()
[3, 5]
>>> W('a').abelian_vector()
[1, 0]
>>> W().abelian_vector()
[0, 0]

The result depends on the alphabet of the parent:

sage: W = Words('abc')
sage: W('aabaa').abelian_vector()
[4, 1, 0]
>>> from sage.all import *
>>> W = Words('abc')
>>> W('aabaa').abelian_vector()
[4, 1, 0]
evaluation_dict()[source]

Return a dictionary keyed by the letters occurring in self with values the number of occurrences of the letter.

EXAMPLES:

sage: Word([2,1,4,2,3,4,2]).evaluation_dict()
{1: 1, 2: 3, 3: 1, 4: 2}
sage: Word('badbcdb').evaluation_dict()
{'a': 1, 'b': 3, 'c': 1, 'd': 2}
sage: Word().evaluation_dict()
{}
>>> from sage.all import *
>>> Word([Integer(2),Integer(1),Integer(4),Integer(2),Integer(3),Integer(4),Integer(2)]).evaluation_dict()
{1: 1, 2: 3, 3: 1, 4: 2}
>>> Word('badbcdb').evaluation_dict()
{'a': 1, 'b': 3, 'c': 1, 'd': 2}
>>> Word().evaluation_dict()
{}

sage: f = Word('1213121').evaluation_dict() # keys appear in random order
{'1': 4, '2': 2, '3': 1}
>>> from sage.all import *
>>> f = Word('1213121').evaluation_dict() # keys appear in random order
{'1': 4, '2': 2, '3': 1}
evaluation_partition()[source]

Return the evaluation of the word w as a partition.

EXAMPLES:

sage: Word("acdabda").evaluation_partition()
[3, 2, 1, 1]
sage: Word([2,1,4,2,3,4,2]).evaluation_partition()
[3, 2, 1, 1]
>>> from sage.all import *
>>> Word("acdabda").evaluation_partition()
[3, 2, 1, 1]
>>> Word([Integer(2),Integer(1),Integer(4),Integer(2),Integer(3),Integer(4),Integer(2)]).evaluation_partition()
[3, 2, 1, 1]
evaluation_sparse()[source]

Return a list representing the evaluation of self. The entries of the list are two-element lists [a, n], where a is a letter occurring in self and n is the number of occurrences of a in self.

EXAMPLES:

sage: sorted(Word([4,4,2,5,2,1,4,1]).evaluation_sparse())
[(1, 2), (2, 2), (4, 3), (5, 1)]
sage: sorted(Word("abcaccab").evaluation_sparse())
[('a', 3), ('b', 2), ('c', 3)]
>>> from sage.all import *
>>> sorted(Word([Integer(4),Integer(4),Integer(2),Integer(5),Integer(2),Integer(1),Integer(4),Integer(1)]).evaluation_sparse())
[(1, 2), (2, 2), (4, 3), (5, 1)]
>>> sorted(Word("abcaccab").evaluation_sparse())
[('a', 3), ('b', 2), ('c', 3)]
exponent()[source]

Return the exponent of self.

OUTPUT: integer; the exponent

EXAMPLES:

sage: Word('1231').exponent()
1
sage: Word('121212').exponent()
3
sage: Word().exponent()
0
>>> from sage.all import *
>>> Word('1231').exponent()
1
>>> Word('121212').exponent()
3
>>> Word().exponent()
0
factor_complexity(n)[source]

Return the number of distinct factors of length n of self.

INPUT:

  • n – the length of the factors

EXAMPLES:

sage: w = words.FibonacciWord()[:100]
sage: [w.factor_complexity(i) for i in range(20)]
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(100)]
>>> [w.factor_complexity(i) for i in range(Integer(20))]
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]

sage: w = words.ThueMorseWord()[:1000]
sage: [w.factor_complexity(i) for i in range(20)]
[1, 2, 4, 6, 10, 12, 16, 20, 22, 24, 28, 32, 36, 40, 42, 44, 46, 48, 52, 56]
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(1000)]
>>> [w.factor_complexity(i) for i in range(Integer(20))]
[1, 2, 4, 6, 10, 12, 16, 20, 22, 24, 28, 32, 36, 40, 42, 44, 46, 48, 52, 56]
factor_iterator(n=None)[source]

Generate distinct factors of self.

INPUT:

  • n – integer or None

OUTPUT:

If n is an integer, returns an iterator over all distinct factors of length n. If n is None, returns an iterator generating all distinct factors.

EXAMPLES:

sage: w = Word('1213121')
sage: sorted( w.factor_iterator(0) )
[word: ]
sage: sorted( w.factor_iterator(10) )
[]
sage: sorted( w.factor_iterator(1) )
[word: 1, word: 2, word: 3]
sage: sorted( w.factor_iterator(4) )
[word: 1213, word: 1312, word: 2131, word: 3121]
sage: sorted( w.factor_iterator() )
[word: , word: 1, word: 12, word: 121, word: 1213, word: 12131, word: 121312, word: 1213121, word: 13, word: 131, word: 1312, word: 13121, word: 2, word: 21, word: 213, word: 2131, word: 21312, word: 213121, word: 3, word: 31, word: 312, word: 3121]
>>> from sage.all import *
>>> w = Word('1213121')
>>> sorted( w.factor_iterator(Integer(0)) )
[word: ]
>>> sorted( w.factor_iterator(Integer(10)) )
[]
>>> sorted( w.factor_iterator(Integer(1)) )
[word: 1, word: 2, word: 3]
>>> sorted( w.factor_iterator(Integer(4)) )
[word: 1213, word: 1312, word: 2131, word: 3121]
>>> sorted( w.factor_iterator() )
[word: , word: 1, word: 12, word: 121, word: 1213, word: 12131, word: 121312, word: 1213121, word: 13, word: 131, word: 1312, word: 13121, word: 2, word: 21, word: 213, word: 2131, word: 21312, word: 213121, word: 3, word: 31, word: 312, word: 3121]

sage: u = Word([1,2,1,2,3])
sage: sorted( u.factor_iterator(0) )
[word: ]
sage: sorted( u.factor_iterator(10) )
[]
sage: sorted( u.factor_iterator(1) )
[word: 1, word: 2, word: 3]
sage: sorted( u.factor_iterator(5) )
[word: 12123]
sage: sorted( u.factor_iterator() )
[word: , word: 1, word: 12, word: 121, word: 1212, word: 12123, word: 123, word: 2, word: 21, word: 212, word: 2123, word: 23, word: 3]
>>> from sage.all import *
>>> u = Word([Integer(1),Integer(2),Integer(1),Integer(2),Integer(3)])
>>> sorted( u.factor_iterator(Integer(0)) )
[word: ]
>>> sorted( u.factor_iterator(Integer(10)) )
[]
>>> sorted( u.factor_iterator(Integer(1)) )
[word: 1, word: 2, word: 3]
>>> sorted( u.factor_iterator(Integer(5)) )
[word: 12123]
>>> sorted( u.factor_iterator() )
[word: , word: 1, word: 12, word: 121, word: 1212, word: 12123, word: 123, word: 2, word: 21, word: 212, word: 2123, word: 23, word: 3]

sage: xxx = Word("xxx")
sage: sorted( xxx.factor_iterator(0) )
[word: ]
sage: sorted( xxx.factor_iterator(4) )
[]
sage: sorted( xxx.factor_iterator(2) )
[word: xx]
sage: sorted( xxx.factor_iterator() )
[word: , word: x, word: xx, word: xxx]
>>> from sage.all import *
>>> xxx = Word("xxx")
>>> sorted( xxx.factor_iterator(Integer(0)) )
[word: ]
>>> sorted( xxx.factor_iterator(Integer(4)) )
[]
>>> sorted( xxx.factor_iterator(Integer(2)) )
[word: xx]
>>> sorted( xxx.factor_iterator() )
[word: , word: x, word: xx, word: xxx]

sage: e = Word()
sage: sorted( e.factor_iterator(0) )
[word: ]
sage: sorted( e.factor_iterator(17) )
[]
sage: sorted( e.factor_iterator() )
[word: ]
>>> from sage.all import *
>>> e = Word()
>>> sorted( e.factor_iterator(Integer(0)) )
[word: ]
>>> sorted( e.factor_iterator(Integer(17)) )
[]
>>> sorted( e.factor_iterator() )
[word: ]
factor_occurrences_in(other)[source]

Return an iterator over all occurrences (including overlapping ones) of self in other in their order of appearance.

Warning

This method is deprecated since 2020 and will be removed in a later version of SageMath. Use factor_occurrences_iterator() instead.

EXAMPLES:

sage: u = Word('121')
sage: w = Word('121213211213')
sage: list(u.factor_occurrences_in(w))
doctest:warning
...
DeprecationWarning: f.factor_occurrences_in(w) is deprecated.
Use w.factor_occurrences_iterator(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
[0, 2, 8]
>>> from sage.all import *
>>> u = Word('121')
>>> w = Word('121213211213')
>>> list(u.factor_occurrences_in(w))
doctest:warning
...
DeprecationWarning: f.factor_occurrences_in(w) is deprecated.
Use w.factor_occurrences_iterator(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
[0, 2, 8]
factor_set(n=None, algorithm='suffix tree')[source]

Return the set of factors (of length n) of self.

INPUT:

  • n – integer or None (default: None)

  • algorithm – string (default: 'suffix tree'), takes the following values:

    • 'suffix tree' – construct and use the suffix tree of the word

    • 'naive' – algorithm uses a sliding window

OUTPUT:

If n is an integer, returns the set of all distinct factors of length n. If n is None, returns the set of all distinct factors.

EXAMPLES:

sage: w = Word('121')
sage: sorted(w.factor_set())
[word: , word: 1, word: 12, word: 121, word: 2, word: 21]
sage: sorted(w.factor_set(algorithm='naive'))
[word: , word: 1, word: 12, word: 121, word: 2, word: 21]
>>> from sage.all import *
>>> w = Word('121')
>>> sorted(w.factor_set())
[word: , word: 1, word: 12, word: 121, word: 2, word: 21]
>>> sorted(w.factor_set(algorithm='naive'))
[word: , word: 1, word: 12, word: 121, word: 2, word: 21]

sage: w = Word('1213121')
sage: for i in range(w.length()): sorted(w.factor_set(i))
[word: ]
[word: 1, word: 2, word: 3]
[word: 12, word: 13, word: 21, word: 31]
[word: 121, word: 131, word: 213, word: 312]
[word: 1213, word: 1312, word: 2131, word: 3121]
[word: 12131, word: 13121, word: 21312]
[word: 121312, word: 213121]
>>> from sage.all import *
>>> w = Word('1213121')
>>> for i in range(w.length()): sorted(w.factor_set(i))
[word: ]
[word: 1, word: 2, word: 3]
[word: 12, word: 13, word: 21, word: 31]
[word: 121, word: 131, word: 213, word: 312]
[word: 1213, word: 1312, word: 2131, word: 3121]
[word: 12131, word: 13121, word: 21312]
[word: 121312, word: 213121]

sage: w = Word([1,2,1,2,3])
sage: s = w.factor_set()
sage: sorted(s)
[word: , word: 1, word: 12, word: 121, word: 1212, word: 12123, word: 123, word: 2, word: 21, word: 212, word: 2123, word: 23, word: 3]
>>> from sage.all import *
>>> w = Word([Integer(1),Integer(2),Integer(1),Integer(2),Integer(3)])
>>> s = w.factor_set()
>>> sorted(s)
[word: , word: 1, word: 12, word: 121, word: 1212, word: 12123, word: 123, word: 2, word: 21, word: 212, word: 2123, word: 23, word: 3]
find(sub, start=0, end=None)[source]

Return the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Return \(-1\) on failure.

INPUT:

  • sub – string, list, tuple or word to search for

  • start – nonnegative integer (default: \(0\)) specifying the position from which to start the search

  • end – nonnegative integer (default: None); specifying the position at which the search must stop. If None, then the search is performed up to the end of the string.

OUTPUT: nonnegative integer or \(-1\)

EXAMPLES:

sage: w = Word([0,1,0,0,1])
sage: w.find(Word([1,0]))
1
>>> from sage.all import *
>>> w = Word([Integer(0),Integer(1),Integer(0),Integer(0),Integer(1)])
>>> w.find(Word([Integer(1),Integer(0)]))
1

The sub argument can also be a tuple or a list:

sage: w.find([1,0])
1
sage: w.find((1,0))
1
>>> from sage.all import *
>>> w.find([Integer(1),Integer(0)])
1
>>> w.find((Integer(1),Integer(0)))
1

Examples using start and end:

sage: w.find(Word([0,1]), start=1)
3
sage: w.find(Word([0,1]), start=1, end=5)
3
sage: w.find(Word([0,1]), start=1, end=4) == -1
True
sage: w.find(Word([1,1])) == -1
True
sage: w.find("aa")
-1
>>> from sage.all import *
>>> w.find(Word([Integer(0),Integer(1)]), start=Integer(1))
3
>>> w.find(Word([Integer(0),Integer(1)]), start=Integer(1), end=Integer(5))
3
>>> w.find(Word([Integer(0),Integer(1)]), start=Integer(1), end=Integer(4)) == -Integer(1)
True
>>> w.find(Word([Integer(1),Integer(1)])) == -Integer(1)
True
>>> w.find("aa")
-1

Instances of Word_str handle string inputs as well:

sage: w = Word('abac')
sage: w.find('a')
0
sage: w.find('ba')
1
>>> from sage.all import *
>>> w = Word('abac')
>>> w.find('a')
0
>>> w.find('ba')
1
first_pos_in(other)[source]

Return the position of the first occurrence of self in other, or None if self is not a factor of other.

Warning

This method is deprecated since 2020 and will be removed in a later version of SageMath. Use first_occurrence() instead.

EXAMPLES:

sage: Word('12').first_pos_in(Word('131231'))
doctest:warning
...
DeprecationWarning: f.first_pos_in(w) is deprecated.
Use w.first_occurrence(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
2
sage: Word('32').first_pos_in(Word('131231')) is None
True
>>> from sage.all import *
>>> Word('12').first_pos_in(Word('131231'))
doctest:warning
...
DeprecationWarning: f.first_pos_in(w) is deprecated.
Use w.first_occurrence(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
2
>>> Word('32').first_pos_in(Word('131231')) is None
True
foata_bijection()[source]

Return word self under the Foata bijection.

The Foata bijection \(\phi\) is a bijection on the set of words of given content (by a slight generalization of Section 2 in [FS1978]). It can be defined by induction on the size of the word: Given a word \(w_1 w_2 \cdots w_n\), start with \(\phi(w_1) = w_1\). At the \(i\)-th step, if \(\phi(w_1 w_2 \cdots w_i) = v_1 v_2 \cdots v_i\), we define \(\phi(w_1 w_2 \cdots w_i w_{i+1})\) by placing \(w_{i+1}\) on the end of the word \(v_1 v_2 \cdots v_i\) and breaking the word up into blocks as follows. If \(w_{i+1} \ge v_i\), place a vertical line to the right of each \(v_k\) for which \(w_{i+1} \ge v_k\). Otherwise, if \(w_{i+1} < v_i\), place a vertical line to the right of each \(v_k\) for which \(w_{i+1} < v_k\). In either case, place a vertical line at the start of the word as well. Now, within each block between vertical lines, cyclically shift the entries one place to the right.

For instance, to compute \(\phi([4,1,5,4,2,2,3])\), the sequence of words is

  • \(4\),

  • \(|4|1 \to 41\),

  • \(|4|1|5 \to 415\),

  • \(|415|4 \to 5414\),

  • \(|5|4|14|2 \to 54412\),

  • \(|5441|2|2 \to 154422\),

  • \(|1|5442|2|3 \to 1254423\).

So \(\phi([4,1,5,4,2,2,3]) = [1,2,5,4,4,2,3]\).

EXAMPLES:

sage: w = Word([2,2,2,1,1,1])
sage: w.foata_bijection()
word: 112221
sage: w = Word([2,2,1,2,2,2,1,1,2,1])
sage: w.foata_bijection()
word: 2122212211
sage: w = Word([4,1,5,4,2,2,3])
sage: w.foata_bijection()
word: 1254423
>>> from sage.all import *
>>> w = Word([Integer(2),Integer(2),Integer(2),Integer(1),Integer(1),Integer(1)])
>>> w.foata_bijection()
word: 112221
>>> w = Word([Integer(2),Integer(2),Integer(1),Integer(2),Integer(2),Integer(2),Integer(1),Integer(1),Integer(2),Integer(1)])
>>> w.foata_bijection()
word: 2122212211
>>> w = Word([Integer(4),Integer(1),Integer(5),Integer(4),Integer(2),Integer(2),Integer(3)])
>>> w.foata_bijection()
word: 1254423
good_suffix_table()[source]

Return a table of the maximum skip you can do in order not to miss a possible occurrence of self in a word.

This is a part of the Boyer-Moore algorithm to find factors. See [BM1977].

EXAMPLES:

sage: Word('121321').good_suffix_table()
[5, 5, 5, 5, 3, 3, 1]
sage: Word('12412').good_suffix_table()
[3, 3, 3, 3, 3, 1]
>>> from sage.all import *
>>> Word('121321').good_suffix_table()
[5, 5, 5, 5, 3, 3, 1]
>>> Word('12412').good_suffix_table()
[3, 3, 3, 3, 3, 1]
has_period(p)[source]

Return True if self has the period \(p\), False otherwise.

Note

By convention, integers greater than the length of self are periods of self.

INPUT:

  • p – integer to check if it is a period of self

EXAMPLES:

sage: w = Word('ababa')
sage: w.has_period(2)
True
sage: w.has_period(3)
False
sage: w.has_period(4)
True
sage: w.has_period(-1)
False
sage: w.has_period(5)
True
sage: w.has_period(6)
True
>>> from sage.all import *
>>> w = Word('ababa')
>>> w.has_period(Integer(2))
True
>>> w.has_period(Integer(3))
False
>>> w.has_period(Integer(4))
True
>>> w.has_period(-Integer(1))
False
>>> w.has_period(Integer(5))
True
>>> w.has_period(Integer(6))
True
has_prefix(other)[source]

Test whether self has other as a prefix.

INPUT:

  • other – a word, or data describing a word

OUTPUT: boolean

EXAMPLES:

sage: w = Word("abbabaabababa")
sage: u = Word("abbab")
sage: w.has_prefix(u)
True
sage: u.has_prefix(w)
False
sage: u.has_prefix("abbab")
True
>>> from sage.all import *
>>> w = Word("abbabaabababa")
>>> u = Word("abbab")
>>> w.has_prefix(u)
True
>>> u.has_prefix(w)
False
>>> u.has_prefix("abbab")
True

sage: w = Word([0,1,1,0,1,0,0,1,0,1,0,1,0])
sage: u = Word([0,1,1,0,1])
sage: w.has_prefix(u)
True
sage: u.has_prefix(w)
False
sage: u.has_prefix([0,1,1,0,1])
True
>>> from sage.all import *
>>> w = Word([Integer(0),Integer(1),Integer(1),Integer(0),Integer(1),Integer(0),Integer(0),Integer(1),Integer(0),Integer(1),Integer(0),Integer(1),Integer(0)])
>>> u = Word([Integer(0),Integer(1),Integer(1),Integer(0),Integer(1)])
>>> w.has_prefix(u)
True
>>> u.has_prefix(w)
False
>>> u.has_prefix([Integer(0),Integer(1),Integer(1),Integer(0),Integer(1)])
True
has_suffix(other)[source]

Test whether self has other as a suffix.

Note

Some word datatype classes, like WordDatatype_str, override this method.

INPUT:

  • other – a word, or data describing a word

OUTPUT: boolean

EXAMPLES:

sage: w = Word("abbabaabababa")
sage: u = Word("ababa")
sage: w.has_suffix(u)
True
sage: u.has_suffix(w)
False
sage: u.has_suffix("ababa")
True
>>> from sage.all import *
>>> w = Word("abbabaabababa")
>>> u = Word("ababa")
>>> w.has_suffix(u)
True
>>> u.has_suffix(w)
False
>>> u.has_suffix("ababa")
True

sage: w = Word([0,1,1,0,1,0,0,1,0,1,0,1,0])
sage: u = Word([0,1,0,1,0])
sage: w.has_suffix(u)
True
sage: u.has_suffix(w)
False
sage: u.has_suffix([0,1,0,1,0])
True
>>> from sage.all import *
>>> w = Word([Integer(0),Integer(1),Integer(1),Integer(0),Integer(1),Integer(0),Integer(0),Integer(1),Integer(0),Integer(1),Integer(0),Integer(1),Integer(0)])
>>> u = Word([Integer(0),Integer(1),Integer(0),Integer(1),Integer(0)])
>>> w.has_suffix(u)
True
>>> u.has_suffix(w)
False
>>> u.has_suffix([Integer(0),Integer(1),Integer(0),Integer(1),Integer(0)])
True
implicit_suffix_tree()[source]

Return the implicit suffix tree of self.

The suffix tree of a word \(w\) is a compactification of the suffix trie for \(w\). The compactification removes all nodes that have exactly one incoming edge and exactly one outgoing edge. It consists of two components: a tree and a word. Thus, instead of labelling the edges by factors of \(w\), we can label them by indices of the occurrence of the factors in \(w\).

Type sage.combinat.words.suffix_trees.ImplicitSuffixTree? for more information.

EXAMPLES:

sage: w = Word("cacao")
sage: w.implicit_suffix_tree()
Implicit Suffix Tree of the word: cacao
>>> from sage.all import *
>>> w = Word("cacao")
>>> w.implicit_suffix_tree()
Implicit Suffix Tree of the word: cacao

sage: w = Word([0,1,0,1,1])
sage: w.implicit_suffix_tree()
Implicit Suffix Tree of the word: 01011
>>> from sage.all import *
>>> w = Word([Integer(0),Integer(1),Integer(0),Integer(1),Integer(1)])
>>> w.implicit_suffix_tree()
Implicit Suffix Tree of the word: 01011
inv_lex_less(other)[source]

Return True if self is inverse lexicographically less than other.

EXAMPLES:

sage: Word([1,2,4]).inv_lex_less(Word([1,3,2]))
False
sage: Word([3,2,1]).inv_lex_less(Word([1,2,3]))
True
>>> from sage.all import *
>>> Word([Integer(1),Integer(2),Integer(4)]).inv_lex_less(Word([Integer(1),Integer(3),Integer(2)]))
False
>>> Word([Integer(3),Integer(2),Integer(1)]).inv_lex_less(Word([Integer(1),Integer(2),Integer(3)]))
True
inversions()[source]

Return a list of the inversions of self. An inversion is a pair \((i,j)\) of nonnegative integers \(i < j\) such that self[i] > self[j].

EXAMPLES:

sage: Word([1,2,3,2,2,1]).inversions()
[[1, 5], [2, 3], [2, 4], [2, 5], [3, 5], [4, 5]]
sage: Words([3,2,1])([1,2,3,2,2,1]).inversions()
[[0, 1], [0, 2], [0, 3], [0, 4], [1, 2]]
sage: Word('abbaba').inversions()
[[1, 3], [1, 5], [2, 3], [2, 5], [4, 5]]
sage: Words('ba')('abbaba').inversions()
[[0, 1], [0, 2], [0, 4], [3, 4]]
>>> from sage.all import *
>>> Word([Integer(1),Integer(2),Integer(3),Integer(2),Integer(2),Integer(1)]).inversions()
[[1, 5], [2, 3], [2, 4], [2, 5], [3, 5], [4, 5]]
>>> Words([Integer(3),Integer(2),Integer(1)])([Integer(1),Integer(2),Integer(3),Integer(2),Integer(2),Integer(1)]).inversions()
[[0, 1], [0, 2], [0, 3], [0, 4], [1, 2]]
>>> Word('abbaba').inversions()
[[1, 3], [1, 5], [2, 3], [2, 5], [4, 5]]
>>> Words('ba')('abbaba').inversions()
[[0, 1], [0, 2], [0, 4], [3, 4]]
is_balanced(q=1)[source]

Return True if self is q-balanced, and False otherwise.

A finite or infinite word \(w\) is said to be \(q\)-balanced if for any two factors \(u\), \(v\) of \(w\) of the same length, the difference between the number of \(x\)’s in each of \(u\) and \(v\) is at most \(q\) for all letters \(x\) in the alphabet of \(w\). A \(1\)-balanced word is simply said to be balanced. See for instance [CFZ2000] and Chapter 2 of [Lot2002].

INPUT:

  • q – integer (default: \(1\)); the balance level

EXAMPLES:

sage: Word('1213121').is_balanced()
True
sage: Word('1122').is_balanced()
False
sage: Word('121333121').is_balanced()
False
sage: Word('121333121').is_balanced(2)
False
sage: Word('121333121').is_balanced(3)
True
sage: Word('121122121').is_balanced()
False
sage: Word('121122121').is_balanced(2)
True
>>> from sage.all import *
>>> Word('1213121').is_balanced()
True
>>> Word('1122').is_balanced()
False
>>> Word('121333121').is_balanced()
False
>>> Word('121333121').is_balanced(Integer(2))
False
>>> Word('121333121').is_balanced(Integer(3))
True
>>> Word('121122121').is_balanced()
False
>>> Word('121122121').is_balanced(Integer(2))
True
is_cadence(seq)[source]

Return True if seq is a cadence of self, and False otherwise.

A cadence is an increasing sequence of indexes that all map to the same letter.

EXAMPLES:

sage: Word('121132123').is_cadence([0, 2, 6])
True
sage: Word('121132123').is_cadence([0, 1, 2])
False
sage: Word('121132123').is_cadence([])
True
>>> from sage.all import *
>>> Word('121132123').is_cadence([Integer(0), Integer(2), Integer(6)])
True
>>> Word('121132123').is_cadence([Integer(0), Integer(1), Integer(2)])
False
>>> Word('121132123').is_cadence([])
True
is_christoffel()[source]

Return True if self is a Christoffel word, and False otherwise.

The Christoffel word of slope \(p/q\) is obtained from the Cayley graph of \(\ZZ/(p+q)\ZZ\) with generator \(q\) as follows. If \(u \rightarrow v\) is an edge in the Cayley graph, then, \(v = u + p \mod{p+q}\). Let \(a\),`b` be the alphabet of \(w\). Label the edge \(u \rightarrow v\) by \(a\) if \(u < v\) and \(b\) otherwise. The Christoffel word is the word obtained by reading the edge labels along the cycle beginning from \(0\).

Equivalently, \(w\) is a Christoffel word iff \(w\) is a symmetric non-empty word and \(w[1:n-1]\) is a palindrome.

See for instance [Ber2007] and [BLRS2009].

INPUT:

  • self – word

OUTPUT: boolean; True if self is a Christoffel word, False otherwise

EXAMPLES:

sage: Word('00100101').is_christoffel()
True
sage: Word('aab').is_christoffel()
True
sage: Word().is_christoffel()
False
sage: Word('123123123').is_christoffel()
False
sage: Word('00100').is_christoffel()
False
sage: Word('0').is_christoffel()
True
>>> from sage.all import *
>>> Word('00100101').is_christoffel()
True
>>> Word('aab').is_christoffel()
True
>>> Word().is_christoffel()
False
>>> Word('123123123').is_christoffel()
False
>>> Word('00100').is_christoffel()
False
>>> Word('0').is_christoffel()
True
is_conjugate_with(other)[source]

Return True if self is a conjugate of other, and False otherwise.

INPUT:

  • other – a finite word

OUTPUT: boolean

EXAMPLES:

sage: w = Word([0..20])
sage: z = Word([7..20] + [0..6])
sage: w
word: 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20
sage: z
word: 7,8,9,10,11,12,13,14,15,16,17,18,19,20,0,1,2,3,4,5,6
sage: w.is_conjugate_with(z)
True
sage: z.is_conjugate_with(w)
True
sage: u = Word([4]*21)
sage: u.is_conjugate_with(w)
False
sage: u.is_conjugate_with(z)
False
>>> from sage.all import *
>>> w = Word((ellipsis_range(Integer(0),Ellipsis,Integer(20))))
>>> z = Word((ellipsis_range(Integer(7),Ellipsis,Integer(20))) + (ellipsis_range(Integer(0),Ellipsis,Integer(6))))
>>> w
word: 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20
>>> z
word: 7,8,9,10,11,12,13,14,15,16,17,18,19,20,0,1,2,3,4,5,6
>>> w.is_conjugate_with(z)
True
>>> z.is_conjugate_with(w)
True
>>> u = Word([Integer(4)]*Integer(21))
>>> u.is_conjugate_with(w)
False
>>> u.is_conjugate_with(z)
False

Both words must be finite:

sage: w = Word(iter([2]*100),length='unknown')
sage: z = Word([2]*100)
sage: z.is_conjugate_with(w) #TODO: Not implemented for word of unknown length
True
sage: wf = Word(iter([2]*100),length='finite')
sage: z.is_conjugate_with(wf)
True
sage: wf.is_conjugate_with(z)
True
>>> from sage.all import *
>>> w = Word(iter([Integer(2)]*Integer(100)),length='unknown')
>>> z = Word([Integer(2)]*Integer(100))
>>> z.is_conjugate_with(w) #TODO: Not implemented for word of unknown length
True
>>> wf = Word(iter([Integer(2)]*Integer(100)),length='finite')
>>> z.is_conjugate_with(wf)
True
>>> wf.is_conjugate_with(z)
True
is_cube()[source]

Return True if self is a cube, and False otherwise.

EXAMPLES:

sage: Word('012012012').is_cube()
True
sage: Word('01010101').is_cube()
False
sage: Word().is_cube()
True
sage: Word('012012').is_cube()
False
>>> from sage.all import *
>>> Word('012012012').is_cube()
True
>>> Word('01010101').is_cube()
False
>>> Word().is_cube()
True
>>> Word('012012').is_cube()
False
is_cube_free()[source]

Return True if self does not contain cubes, and False otherwise.

EXAMPLES:

sage: Word('12312').is_cube_free()
True
sage: Word('32221').is_cube_free()
False
sage: Word().is_cube_free()
True
>>> from sage.all import *
>>> Word('12312').is_cube_free()
True
>>> Word('32221').is_cube_free()
False
>>> Word().is_cube_free()
True
is_empty()[source]

Return True if the length of self is zero, and False otherwise.

EXAMPLES:

sage: Word([]).is_empty()
True
sage: Word('a').is_empty()
False
>>> from sage.all import *
>>> Word([]).is_empty()
True
>>> Word('a').is_empty()
False
is_factor(other)[source]

Return True if self is a factor of other, and False otherwise.

A finite word \(u\in A^*\) is a factor of a finite word \(v\in A^*\) if there exists \(p,s\in A^*\) such that \(v=pus\).

EXAMPLES:

sage: u = Word('2113')
sage: w = Word('123121332131233121132123')
sage: u.is_factor(w)
True
sage: u = Word('321')
sage: w = Word('1231241231312312312')
sage: u.is_factor(w)
False
>>> from sage.all import *
>>> u = Word('2113')
>>> w = Word('123121332131233121132123')
>>> u.is_factor(w)
True
>>> u = Word('321')
>>> w = Word('1231241231312312312')
>>> u.is_factor(w)
False

The empty word is factor of another word:

sage: Word().is_factor(Word())
True
sage: Word().is_factor(Word('a'))
True
sage: Word().is_factor(Word([1,2,3]))
True
sage: Word().is_factor(Word(lambda n:n, length=5))
True
>>> from sage.all import *
>>> Word().is_factor(Word())
True
>>> Word().is_factor(Word('a'))
True
>>> Word().is_factor(Word([Integer(1),Integer(2),Integer(3)]))
True
>>> Word().is_factor(Word(lambda n:n, length=Integer(5)))
True
is_finite()[source]

Return True.

EXAMPLES:

sage: Word([]).is_finite()
True
sage: Word('a').is_finite()
True
>>> from sage.all import *
>>> Word([]).is_finite()
True
>>> Word('a').is_finite()
True
is_full(f=None)[source]

Return True if self has defect \(0\), and False otherwise.

A word is full (or rich) if its defect is zero (see [BHNR2004]).

If f is given, then the f-palindromic defect is used (see [PeSt2011]).

INPUT:

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism)

OUTPUT:

boolean – If f is None, whether self is full; otherwise, whether self is full of f-palindromes.

EXAMPLES:

sage: words.ThueMorseWord()[:100].is_full()
False
sage: words.FibonacciWord()[:100].is_full()
True
sage: Word('000000000000000').is_full()
True
sage: Word('011010011001').is_full()
False
sage: Word('2194').is_full()
True
sage: Word().is_full()
True
>>> from sage.all import *
>>> words.ThueMorseWord()[:Integer(100)].is_full()
False
>>> words.FibonacciWord()[:Integer(100)].is_full()
True
>>> Word('000000000000000').is_full()
True
>>> Word('011010011001').is_full()
False
>>> Word('2194').is_full()
True
>>> Word().is_full()
True

sage: f = WordMorphism('a->b,b->a')
sage: Word().is_full(f)
True
sage: w = Word('ab')
sage: w.is_full()
True
sage: w.is_full(f)
True
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> Word().is_full(f)
True
>>> w = Word('ab')
>>> w.is_full()
True
>>> w.is_full(f)
True

sage: f = WordMorphism('a->b,b->a')
sage: Word('abab').is_full(f)
True
sage: Word('abba').is_full(f)
False
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> Word('abab').is_full(f)
True
>>> Word('abba').is_full(f)
False

A simple example of an infinite word full of f-palindromes:

sage: p = WordMorphism({0:'abc',1:'ab'})
sage: f = WordMorphism('a->b,b->a,c->c')
sage: p(words.FibonacciWord()[:50]).is_full(f)
True
sage: p(words.FibonacciWord()[:150]).is_full(f)
True
>>> from sage.all import *
>>> p = WordMorphism({Integer(0):'abc',Integer(1):'ab'})
>>> f = WordMorphism('a->b,b->a,c->c')
>>> p(words.FibonacciWord()[:Integer(50)]).is_full(f)
True
>>> p(words.FibonacciWord()[:Integer(150)]).is_full(f)
True
is_lyndon()[source]

Return True if self is a Lyndon word, and False otherwise.

A Lyndon word is a non-empty word that is lexicographically smaller than each of its proper suffixes (for the given order on its alphabet). That is, \(w\) is a Lyndon word if \(w\) is non-empty and for each factorization \(w = uv\) (with \(u\), \(v\) both non-empty), we have \(w < v\).

Equivalently, \(w\) is a Lyndon word iff \(w\) is a non-empty word that is lexicographically smaller than each of its proper conjugates for the given order on its alphabet.

See for instance [Lot1983].

EXAMPLES:

sage: Word('123132133').is_lyndon()
True
sage: Word().is_lyndon()
False
sage: Word('122112').is_lyndon()
False
>>> from sage.all import *
>>> Word('123132133').is_lyndon()
True
>>> Word().is_lyndon()
False
>>> Word('122112').is_lyndon()
False
is_overlap()[source]

Return True if self is an overlap, and False otherwise.

EXAMPLES:

sage: Word('12121').is_overlap()
True
sage: Word('123').is_overlap()
False
sage: Word('1231').is_overlap()
False
sage: Word('123123').is_overlap()
False
sage: Word('1231231').is_overlap()
True
sage: Word().is_overlap()
False
>>> from sage.all import *
>>> Word('12121').is_overlap()
True
>>> Word('123').is_overlap()
False
>>> Word('1231').is_overlap()
False
>>> Word('123123').is_overlap()
False
>>> Word('1231231').is_overlap()
True
>>> Word().is_overlap()
False
is_palindrome(f=None)[source]

Return True if self is a palindrome (or a f-palindrome), and False otherwise.

Let \(f : \Sigma \rightarrow \Sigma\) be an involution that extends to a morphism on \(\Sigma^*\). We say that \(w\in\Sigma^*\) is a `f`-palindrome if \(w=f(\tilde{w})\) [Lab2008]. Also called `f`-pseudo-palindrome [AZZ2005].

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism). The default value corresponds to usual palindromes, i.e., f equal to the identity.

EXAMPLES:

sage: Word('esope reste ici et se repose').is_palindrome()
False
sage: Word('esoperesteicietserepose').is_palindrome()
True
sage: Word('I saw I was I').is_palindrome()
True
sage: Word('abbcbba').is_palindrome()
True
sage: Word('abcbdba').is_palindrome()
False
>>> from sage.all import *
>>> Word('esope reste ici et se repose').is_palindrome()
False
>>> Word('esoperesteicietserepose').is_palindrome()
True
>>> Word('I saw I was I').is_palindrome()
True
>>> Word('abbcbba').is_palindrome()
True
>>> Word('abcbdba').is_palindrome()
False

Some \(f\)-palindromes:

sage: f = WordMorphism('a->b,b->a')
sage: Word('aababb').is_palindrome(f)
True
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> Word('aababb').is_palindrome(f)
True

sage: f = WordMorphism('a->b,b->a,c->c')
sage: Word('abacbacbab').is_palindrome(f)
True
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a,c->c')
>>> Word('abacbacbab').is_palindrome(f)
True

sage: f = WordMorphism({'a':'b','b':'a'})
sage: Word('aababb').is_palindrome(f)
True
>>> from sage.all import *
>>> f = WordMorphism({'a':'b','b':'a'})
>>> Word('aababb').is_palindrome(f)
True

sage: f = WordMorphism({0:[1],1:[0]})
sage: w = words.ThueMorseWord()[:8]; w
word: 01101001
sage: w.is_palindrome(f)
True
>>> from sage.all import *
>>> f = WordMorphism({Integer(0):[Integer(1)],Integer(1):[Integer(0)]})
>>> w = words.ThueMorseWord()[:Integer(8)]; w
word: 01101001
>>> w.is_palindrome(f)
True

The word must be in the domain of the involution:

sage: f = WordMorphism('a->a')
sage: Word('aababb').is_palindrome(f)
Traceback (most recent call last):
...
KeyError: 'b'
>>> from sage.all import *
>>> f = WordMorphism('a->a')
>>> Word('aababb').is_palindrome(f)
Traceback (most recent call last):
...
KeyError: 'b'
is_prefix(other)[source]

Return True if self is a prefix of other, and False otherwise.

EXAMPLES:

sage: w = Word('0123456789')
sage: y = Word('012345')
sage: y.is_prefix(w)
True
sage: w.is_prefix(y)
False
sage: w.is_prefix(Word())
False
sage: Word().is_prefix(w)
True
sage: Word().is_prefix(Word())
True
>>> from sage.all import *
>>> w = Word('0123456789')
>>> y = Word('012345')
>>> y.is_prefix(w)
True
>>> w.is_prefix(y)
False
>>> w.is_prefix(Word())
False
>>> Word().is_prefix(w)
True
>>> Word().is_prefix(Word())
True
is_primitive()[source]

Return True if self is primitive, and False otherwise.

A finite word \(w\) is primitive if it is not a positive integer power of a shorter word.

EXAMPLES:

sage: Word('1231').is_primitive()
True
sage: Word('111').is_primitive()
False
>>> from sage.all import *
>>> Word('1231').is_primitive()
True
>>> Word('111').is_primitive()
False
is_proper_prefix(other)[source]

Return True if self is a proper prefix of other, and False otherwise.

EXAMPLES:

sage: Word('12').is_proper_prefix(Word('123'))
True
sage: Word('12').is_proper_prefix(Word('12'))
False
sage: Word().is_proper_prefix(Word('123'))
True
sage: Word('123').is_proper_prefix(Word('12'))
False
sage: Word().is_proper_prefix(Word())
False
>>> from sage.all import *
>>> Word('12').is_proper_prefix(Word('123'))
True
>>> Word('12').is_proper_prefix(Word('12'))
False
>>> Word().is_proper_prefix(Word('123'))
True
>>> Word('123').is_proper_prefix(Word('12'))
False
>>> Word().is_proper_prefix(Word())
False
is_proper_suffix(other)[source]

Return True if self is a proper suffix of other, and False otherwise.

EXAMPLES:

sage: Word('23').is_proper_suffix(Word('123'))
True
sage: Word('12').is_proper_suffix(Word('12'))
False
sage: Word().is_proper_suffix(Word('123'))
True
sage: Word('123').is_proper_suffix(Word('12'))
False
>>> from sage.all import *
>>> Word('23').is_proper_suffix(Word('123'))
True
>>> Word('12').is_proper_suffix(Word('12'))
False
>>> Word().is_proper_suffix(Word('123'))
True
>>> Word('123').is_proper_suffix(Word('12'))
False
is_quasiperiodic()[source]

Return True if self is quasiperiodic, and False otherwise.

A finite or infinite word \(w\) is quasiperiodic if it can be constructed by concatenations and superpositions of one of its proper factors \(u\), which is called a quasiperiod of \(w\). See for instance [AE1993], [Mar2004], and [GLR2008].

EXAMPLES:

sage: Word('abaababaabaababaaba').is_quasiperiodic()
True
sage: Word('abacaba').is_quasiperiodic()
False
sage: Word('a').is_quasiperiodic()
False
sage: Word().is_quasiperiodic()
False
sage: Word('abaaba').is_quasiperiodic()
True
>>> from sage.all import *
>>> Word('abaababaabaababaaba').is_quasiperiodic()
True
>>> Word('abacaba').is_quasiperiodic()
False
>>> Word('a').is_quasiperiodic()
False
>>> Word().is_quasiperiodic()
False
>>> Word('abaaba').is_quasiperiodic()
True
is_rich(f=None)[source]

Return True if self has defect \(0\), and False otherwise.

A word is full (or rich) if its defect is zero (see [BHNR2004]).

If f is given, then the f-palindromic defect is used (see [PeSt2011]).

INPUT:

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism)

OUTPUT:

boolean – If f is None, whether self is full; otherwise, whether self is full of f-palindromes.

EXAMPLES:

sage: words.ThueMorseWord()[:100].is_full()
False
sage: words.FibonacciWord()[:100].is_full()
True
sage: Word('000000000000000').is_full()
True
sage: Word('011010011001').is_full()
False
sage: Word('2194').is_full()
True
sage: Word().is_full()
True
>>> from sage.all import *
>>> words.ThueMorseWord()[:Integer(100)].is_full()
False
>>> words.FibonacciWord()[:Integer(100)].is_full()
True
>>> Word('000000000000000').is_full()
True
>>> Word('011010011001').is_full()
False
>>> Word('2194').is_full()
True
>>> Word().is_full()
True

sage: f = WordMorphism('a->b,b->a')
sage: Word().is_full(f)
True
sage: w = Word('ab')
sage: w.is_full()
True
sage: w.is_full(f)
True
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> Word().is_full(f)
True
>>> w = Word('ab')
>>> w.is_full()
True
>>> w.is_full(f)
True

sage: f = WordMorphism('a->b,b->a')
sage: Word('abab').is_full(f)
True
sage: Word('abba').is_full(f)
False
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> Word('abab').is_full(f)
True
>>> Word('abba').is_full(f)
False

A simple example of an infinite word full of f-palindromes:

sage: p = WordMorphism({0:'abc',1:'ab'})
sage: f = WordMorphism('a->b,b->a,c->c')
sage: p(words.FibonacciWord()[:50]).is_full(f)
True
sage: p(words.FibonacciWord()[:150]).is_full(f)
True
>>> from sage.all import *
>>> p = WordMorphism({Integer(0):'abc',Integer(1):'ab'})
>>> f = WordMorphism('a->b,b->a,c->c')
>>> p(words.FibonacciWord()[:Integer(50)]).is_full(f)
True
>>> p(words.FibonacciWord()[:Integer(150)]).is_full(f)
True
is_smooth_prefix()[source]

Return True if self is the prefix of a smooth word, and False otherwise.

Let \(A_k = \{1, \ldots ,k\}\), \(k \geq 2\). An infinite word \(w\) in \(A_k^\omega\) is said to be smooth if and only if for all positive integers \(m\), \(\Delta^m(w)\) is in \(A_k^\omega\), where \(\Delta(w)\) is the word obtained from \(w\) by composing the length of consecutive runs of the same letter in \(w\). See for instance [BL2003] and [BDLV2006].

INPUT:

  • self – must be a word over the integers to get something other than False

OUTPUT: boolean; whether self is a smooth prefix or not

EXAMPLES:

sage: W = Words([1, 2])
sage: W([1, 1, 2, 2, 1, 2, 1, 1]).is_smooth_prefix()
True
sage: W([1, 2, 1, 2, 1, 2]).is_smooth_prefix()
False
>>> from sage.all import *
>>> W = Words([Integer(1), Integer(2)])
>>> W([Integer(1), Integer(1), Integer(2), Integer(2), Integer(1), Integer(2), Integer(1), Integer(1)]).is_smooth_prefix()
True
>>> W([Integer(1), Integer(2), Integer(1), Integer(2), Integer(1), Integer(2)]).is_smooth_prefix()
False
is_square()[source]

Return True if self is a square, and False otherwise.

EXAMPLES:

sage: Word([1,0,0,1]).is_square()
False
sage: Word('1212').is_square()
True
sage: Word('1213').is_square()
False
sage: Word('12123').is_square()
False
sage: Word().is_square()
True
>>> from sage.all import *
>>> Word([Integer(1),Integer(0),Integer(0),Integer(1)]).is_square()
False
>>> Word('1212').is_square()
True
>>> Word('1213').is_square()
False
>>> Word('12123').is_square()
False
>>> Word().is_square()
True
is_square_free()[source]

Return True if self does not contain squares, and False otherwise.

EXAMPLES:

sage: Word('12312').is_square_free()
True
sage: Word('31212').is_square_free()
False
sage: Word().is_square_free()
True
>>> from sage.all import *
>>> Word('12312').is_square_free()
True
>>> Word('31212').is_square_free()
False
>>> Word().is_square_free()
True
is_sturmian_factor()[source]

Tell whether self is a factor of a Sturmian word.

The finite word self must be defined on a two-letter alphabet.

Equivalently, tells whether self is balanced. The advantage over the is_balanced method is that this one runs in linear time whereas is_balanced runs in quadratic time.

OUTPUT: boolean

EXAMPLES:

sage: w = Word('0111011011011101101',alphabet='01')
sage: w.is_sturmian_factor()
True
>>> from sage.all import *
>>> w = Word('0111011011011101101',alphabet='01')
>>> w.is_sturmian_factor()
True

sage: words.LowerMechanicalWord(random(),alphabet='01')[:100].is_sturmian_factor()
True
sage: words.CharacteristicSturmianWord(random())[:100].is_sturmian_factor()             # needs sage.rings.real_mpfr
True
>>> from sage.all import *
>>> words.LowerMechanicalWord(random(),alphabet='01')[:Integer(100)].is_sturmian_factor()
True
>>> words.CharacteristicSturmianWord(random())[:Integer(100)].is_sturmian_factor()             # needs sage.rings.real_mpfr
True

sage: w = Word('aabb',alphabet='ab')
sage: w.is_sturmian_factor()
False

sage: s1 = WordMorphism('a->ab,b->b')
sage: s2 = WordMorphism('a->ba,b->b')
sage: s3 = WordMorphism('a->a,b->ba')
sage: s4 = WordMorphism('a->a,b->ab')
sage: W = Words('ab')
sage: w = W('ab')
sage: for i in range(8): w = choice([s1,s2,s3,s4])(w)
sage: w.is_sturmian_factor()
True
>>> from sage.all import *
>>> w = Word('aabb',alphabet='ab')
>>> w.is_sturmian_factor()
False

>>> s1 = WordMorphism('a->ab,b->b')
>>> s2 = WordMorphism('a->ba,b->b')
>>> s3 = WordMorphism('a->a,b->ba')
>>> s4 = WordMorphism('a->a,b->ab')
>>> W = Words('ab')
>>> w = W('ab')
>>> for i in range(Integer(8)): w = choice([s1,s2,s3,s4])(w)
>>> w.is_sturmian_factor()
True

Famous words:

sage: words.FibonacciWord()[:100].is_sturmian_factor()
True
sage: words.ThueMorseWord()[:1000].is_sturmian_factor()
False
sage: words.KolakoskiWord()[:1000].is_sturmian_factor()
False
>>> from sage.all import *
>>> words.FibonacciWord()[:Integer(100)].is_sturmian_factor()
True
>>> words.ThueMorseWord()[:Integer(1000)].is_sturmian_factor()
False
>>> words.KolakoskiWord()[:Integer(1000)].is_sturmian_factor()
False

See [Arn2002], [Ser1985], and [SU2009].

AUTHOR:

  • Thierry Monteil

is_subword_of(other)[source]

Return True if self is a subword of other, and False otherwise.

A finite word \(u\) is a subword of a finite word \(v\) if \(u\) is a subsequence of \(v\). See Chapter 6 on Subwords in [Lot1997].

Some references define subword as a consecutive subsequence. Use is_factor() if this is what you need.

INPUT:

  • other – a finite word

EXAMPLES:

sage: Word('bb').is_subword_of(Word('ababa'))
True
sage: Word('bbb').is_subword_of(Word('ababa'))
False
>>> from sage.all import *
>>> Word('bb').is_subword_of(Word('ababa'))
True
>>> Word('bbb').is_subword_of(Word('ababa'))
False

sage: Word().is_subword_of(Word('123'))
True
sage: Word('123').is_subword_of(Word('3211333213233321'))
True
sage: Word('321').is_subword_of(Word('11122212112122133111222332'))
False
>>> from sage.all import *
>>> Word().is_subword_of(Word('123'))
True
>>> Word('123').is_subword_of(Word('3211333213233321'))
True
>>> Word('321').is_subword_of(Word('11122212112122133111222332'))
False
is_suffix(other)[source]

Return True if self is a suffix of other, and False otherwise.

EXAMPLES:

sage: w = Word('0123456789')
sage: y = Word('56789')
sage: y.is_suffix(w)
True
sage: w.is_suffix(y)
False
sage: Word('579').is_suffix(w)
False
sage: Word().is_suffix(y)
True
sage: w.is_suffix(Word())
False
sage: Word().is_suffix(Word())
True
>>> from sage.all import *
>>> w = Word('0123456789')
>>> y = Word('56789')
>>> y.is_suffix(w)
True
>>> w.is_suffix(y)
False
>>> Word('579').is_suffix(w)
False
>>> Word().is_suffix(y)
True
>>> w.is_suffix(Word())
False
>>> Word().is_suffix(Word())
True
is_symmetric(f=None)[source]

Return True if self is symmetric (or f-symmetric), and False otherwise.

A word is symmetric (resp. \(f\)-symmetric) if it is the product of two palindromes (resp. \(f\)-palindromes). See [BHNR2004] and [DeLuca2006].

INPUT:

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism)

EXAMPLES:

sage: Word('abbabab').is_symmetric()
True
sage: Word('ababa').is_symmetric()
True
sage: Word('aababaabba').is_symmetric()
False
sage: Word('aabbbaababba').is_symmetric()
False
sage: f = WordMorphism('a->b,b->a')
sage: Word('aabbbaababba').is_symmetric(f)
True
>>> from sage.all import *
>>> Word('abbabab').is_symmetric()
True
>>> Word('ababa').is_symmetric()
True
>>> Word('aababaabba').is_symmetric()
False
>>> Word('aabbbaababba').is_symmetric()
False
>>> f = WordMorphism('a->b,b->a')
>>> Word('aabbbaababba').is_symmetric(f)
True
is_tangent()[source]

Tell whether self is a tangent word.

The finite word self must be defined on a two-letter alphabet.

A binary word is said to be tangent if it can appear in infinitely many cutting sequences of a smooth curve, where each cutting sequence is observed on a progressively smaller grid.

This class of words strictly contains the class of \(1\)-balanced words, and is strictly contained in the class of \(2\)-balanced words.

This method runs in linear time.

OUTPUT: boolean

EXAMPLES:

sage: w = Word('01110110110111011101',alphabet='01')
sage: w.is_tangent()
True
>>> from sage.all import *
>>> w = Word('01110110110111011101',alphabet='01')
>>> w.is_tangent()
True

Some tangent words may not be balanced:

sage: Word('aabb',alphabet='ab').is_balanced()
False
sage: Word('aabb',alphabet='ab').is_tangent()
True
>>> from sage.all import *
>>> Word('aabb',alphabet='ab').is_balanced()
False
>>> Word('aabb',alphabet='ab').is_tangent()
True

Some \(2\)-balanced words may not be tangent:

sage: Word('aaabb',alphabet='ab').is_tangent()
False
sage: Word('aaabb',alphabet='ab').is_balanced(2)
True
>>> from sage.all import *
>>> Word('aaabb',alphabet='ab').is_tangent()
False
>>> Word('aaabb',alphabet='ab').is_balanced(Integer(2))
True

Famous words:

sage: words.FibonacciWord()[:100].is_tangent()
True
sage: words.ThueMorseWord()[:1000].is_tangent()
True
sage: words.KolakoskiWord()[:1000].is_tangent()
False
>>> from sage.all import *
>>> words.FibonacciWord()[:Integer(100)].is_tangent()
True
>>> words.ThueMorseWord()[:Integer(1000)].is_tangent()
True
>>> words.KolakoskiWord()[:Integer(1000)].is_tangent()
False

See [Mon2010].

AUTHOR:

  • Thierry Monteil

is_yamanouchi(n=None)[source]

Return whether self is Yamanouchi.

A word \(w\) is Yamanouchi if, when read from right to left, it always has weakly more \(i\)’s than \(i+1\)’s for all \(i\) that appear in \(w\).

INPUT:

  • n – (optional) an integer specifying the maximal letter in the alphabet

EXAMPLES:

sage: w = Word([1,2,4,3,2,2,2])
sage: w.is_yamanouchi()
False
sage: w = Word([2,3,4,3,1,2,1,1,2,1])
sage: w.is_yamanouchi()
True
sage: w = Word([3,1])
sage: w.is_yamanouchi(n=3)
False
sage: w.is_yamanouchi()
True
sage: w = Word([3,1],alphabet=[1,2,3])
sage: w.is_yamanouchi()
False
sage: w = Word([2,1,1,2])
sage: w.is_yamanouchi()
False
>>> from sage.all import *
>>> w = Word([Integer(1),Integer(2),Integer(4),Integer(3),Integer(2),Integer(2),Integer(2)])
>>> w.is_yamanouchi()
False
>>> w = Word([Integer(2),Integer(3),Integer(4),Integer(3),Integer(1),Integer(2),Integer(1),Integer(1),Integer(2),Integer(1)])
>>> w.is_yamanouchi()
True
>>> w = Word([Integer(3),Integer(1)])
>>> w.is_yamanouchi(n=Integer(3))
False
>>> w.is_yamanouchi()
True
>>> w = Word([Integer(3),Integer(1)],alphabet=[Integer(1),Integer(2),Integer(3)])
>>> w.is_yamanouchi()
False
>>> w = Word([Integer(2),Integer(1),Integer(1),Integer(2)])
>>> w.is_yamanouchi()
False
iterated_left_palindromic_closure(f=None)[source]

Return the iterated left (f-)palindromic closure of self.

INPUT:

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism)

OUTPUT: word; the left iterated f-palindromic closure of self

EXAMPLES:

sage: Word('123').iterated_left_palindromic_closure()
word: 3231323
sage: f = WordMorphism('a->b,b->a')
sage: Word('ab').iterated_left_palindromic_closure(f=f)
word: abbaab
sage: Word('aab').iterated_left_palindromic_closure(f=f)
word: abbaabbaab
>>> from sage.all import *
>>> Word('123').iterated_left_palindromic_closure()
word: 3231323
>>> f = WordMorphism('a->b,b->a')
>>> Word('ab').iterated_left_palindromic_closure(f=f)
word: abbaab
>>> Word('aab').iterated_left_palindromic_closure(f=f)
word: abbaabbaab
lacunas(f=None)[source]

Return the list of all the lacunas of self.

A lacuna is a position in a word where the longest (\(f\)-)palindromic suffix is not unioccurrent (see [BMBL2008]).

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism). The default value corresponds to usual palindromes, i.e., f equal to the identity.

OUTPUT: list of all the lacunas of self

EXAMPLES:

sage: w = Word([0,1,1,2,3,4,5,1,13,3])
sage: w.lacunas()
[7, 9]
sage: words.ThueMorseWord()[:100].lacunas()
[8, 9, 24, 25, 32, 33, 34, 35, 36, 37, 38, 39, 96, 97, 98, 99]
sage: f = WordMorphism({0:[1],1:[0]})
sage: words.ThueMorseWord()[:50].lacunas(f)
[0, 2, 4, 12, 16, 17, 18, 19, 48, 49]
>>> from sage.all import *
>>> w = Word([Integer(0),Integer(1),Integer(1),Integer(2),Integer(3),Integer(4),Integer(5),Integer(1),Integer(13),Integer(3)])
>>> w.lacunas()
[7, 9]
>>> words.ThueMorseWord()[:Integer(100)].lacunas()
[8, 9, 24, 25, 32, 33, 34, 35, 36, 37, 38, 39, 96, 97, 98, 99]
>>> f = WordMorphism({Integer(0):[Integer(1)],Integer(1):[Integer(0)]})
>>> words.ThueMorseWord()[:Integer(50)].lacunas(f)
[0, 2, 4, 12, 16, 17, 18, 19, 48, 49]
last_position_dict()[source]

Return a dictionary that contains the last position of each letter in self.

EXAMPLES:

sage: Word('1231232').last_position_dict()
{'1': 3, '2': 6, '3': 5}
>>> from sage.all import *
>>> Word('1231232').last_position_dict()
{'1': 3, '2': 6, '3': 5}
left_special_factors(n=None)[source]

Return the left special factors (of length n).

A factor \(u\) of a word \(w\) is left special if there are two distinct letters \(a\) and \(b\) such that \(au\) and \(bu\) are factors of \(w\).

INPUT:

  • n – integer (default: None); if None, it returns all left special factors

OUTPUT: list of words

EXAMPLES:

sage: alpha, beta, x = 0.54, 0.294, 0.1415
sage: w = words.CodingOfRotationWord(alpha, beta, x)[:40]
sage: for i in range(5):
....:     print("{} {}".format(i, sorted(w.left_special_factors(i))))
0 [word: ]
1 [word: 0]
2 [word: 00, word: 01]
3 [word: 000, word: 010]
4 [word: 0000, word: 0101]
>>> from sage.all import *
>>> alpha, beta, x = RealNumber('0.54'), RealNumber('0.294'), RealNumber('0.1415')
>>> w = words.CodingOfRotationWord(alpha, beta, x)[:Integer(40)]
>>> for i in range(Integer(5)):
...     print("{} {}".format(i, sorted(w.left_special_factors(i))))
0 [word: ]
1 [word: 0]
2 [word: 00, word: 01]
3 [word: 000, word: 010]
4 [word: 0000, word: 0101]
left_special_factors_iterator(n=None)[source]

Return an iterator over the left special factors (of length n).

A factor \(u\) of a word \(w\) is left special if there are two distinct letters \(a\) and \(b\) such that \(au\) and \(bu\) are factors of \(w\).

INPUT:

  • n – integer (default: None); if None, it returns an iterator over all left special factors

EXAMPLES:

sage: alpha, beta, x = 0.54, 0.294, 0.1415
sage: w = words.CodingOfRotationWord(alpha, beta, x)[:40]
sage: sorted(w.left_special_factors_iterator(3))
[word: 000, word: 010]
sage: sorted(w.left_special_factors_iterator(4))
[word: 0000, word: 0101]
sage: sorted(w.left_special_factors_iterator(5))
[word: 00000, word: 01010]
>>> from sage.all import *
>>> alpha, beta, x = RealNumber('0.54'), RealNumber('0.294'), RealNumber('0.1415')
>>> w = words.CodingOfRotationWord(alpha, beta, x)[:Integer(40)]
>>> sorted(w.left_special_factors_iterator(Integer(3)))
[word: 000, word: 010]
>>> sorted(w.left_special_factors_iterator(Integer(4)))
[word: 0000, word: 0101]
>>> sorted(w.left_special_factors_iterator(Integer(5)))
[word: 00000, word: 01010]
length()[source]

Return the length of self.

length_border()[source]

Return the length of the border of self.

The border of a word is the longest word that is both a proper prefix and a proper suffix of self.

EXAMPLES:

sage: Word('121').length_border()
1
sage: Word('1').length_border()
0
sage: Word('1212').length_border()
2
sage: Word('111').length_border()
2
sage: Word().length_border() is None
True
>>> from sage.all import *
>>> Word('121').length_border()
1
>>> Word('1').length_border()
0
>>> Word('1212').length_border()
2
>>> Word('111').length_border()
2
>>> Word().length_border() is None
True
length_maximal_palindrome(j, m=None, f=None)[source]

Return the length of the longest palindrome centered at position j.

INPUT:

  • j – rational; position of the symmetry axis of the palindrome. Must return an integer when doubled. It is an integer when the center of the palindrome is a letter.

  • m – integer (default: None); minimal length of palindrome, if known. The parity of m can’t be the same as the parity of 2j.

  • f – involution (default: None) on the alphabet; it must be callable on letters as well as words (e.g. WordMorphism)

OUTPUT: length of the longest f-palindrome centered at position j

EXAMPLES:

sage: Word('01001010').length_maximal_palindrome(3/2)
0
sage: Word('01101001').length_maximal_palindrome(3/2)
4
sage: Word('01010').length_maximal_palindrome(j=3, f='0->1,1->0')
0
sage: Word('01010').length_maximal_palindrome(j=2.5, f='0->1,1->0')
4
sage: Word('0222220').length_maximal_palindrome(3, f='0->1,1->0,2->2')
5
>>> from sage.all import *
>>> Word('01001010').length_maximal_palindrome(Integer(3)/Integer(2))
0
>>> Word('01101001').length_maximal_palindrome(Integer(3)/Integer(2))
4
>>> Word('01010').length_maximal_palindrome(j=Integer(3), f='0->1,1->0')
0
>>> Word('01010').length_maximal_palindrome(j=RealNumber('2.5'), f='0->1,1->0')
4
>>> Word('0222220').length_maximal_palindrome(Integer(3), f='0->1,1->0,2->2')
5

sage: w = Word('abcdcbaxyzzyx')
sage: w.length_maximal_palindrome(3)
7
sage: w.length_maximal_palindrome(3, 3)
7
sage: w.length_maximal_palindrome(3.5)
0
sage: w.length_maximal_palindrome(9.5)
6
sage: w.length_maximal_palindrome(9.5, 2)
6
>>> from sage.all import *
>>> w = Word('abcdcbaxyzzyx')
>>> w.length_maximal_palindrome(Integer(3))
7
>>> w.length_maximal_palindrome(Integer(3), Integer(3))
7
>>> w.length_maximal_palindrome(RealNumber('3.5'))
0
>>> w.length_maximal_palindrome(RealNumber('9.5'))
6
>>> w.length_maximal_palindrome(RealNumber('9.5'), Integer(2))
6
lengths_maximal_palindromes(f=None)[source]

Return the length of maximal palindromes centered at each position.

INPUT:

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism)

OUTPUT: list; the length of the maximal palindrome (or f-palindrome) with a given symmetry axis (letter or space between two letters)

EXAMPLES:

sage: Word('01101001').lengths_maximal_palindromes()
[0, 1, 0, 1, 4, 1, 0, 3, 0, 3, 0, 1, 4, 1, 0, 1, 0]
sage: Word('00000').lengths_maximal_palindromes()
[0, 1, 2, 3, 4, 5, 4, 3, 2, 1, 0]
sage: Word('0').lengths_maximal_palindromes()
[0, 1, 0]
sage: Word('').lengths_maximal_palindromes()
[0]
sage: Word().lengths_maximal_palindromes()
[0]
sage: f = WordMorphism('a->b,b->a')
sage: Word('abbabaab').lengths_maximal_palindromes(f)
[0, 0, 2, 0, 0, 0, 2, 0, 8, 0, 2, 0, 0, 0, 2, 0, 0]
>>> from sage.all import *
>>> Word('01101001').lengths_maximal_palindromes()
[0, 1, 0, 1, 4, 1, 0, 3, 0, 3, 0, 1, 4, 1, 0, 1, 0]
>>> Word('00000').lengths_maximal_palindromes()
[0, 1, 2, 3, 4, 5, 4, 3, 2, 1, 0]
>>> Word('0').lengths_maximal_palindromes()
[0, 1, 0]
>>> Word('').lengths_maximal_palindromes()
[0]
>>> Word().lengths_maximal_palindromes()
[0]
>>> f = WordMorphism('a->b,b->a')
>>> Word('abbabaab').lengths_maximal_palindromes(f)
[0, 0, 2, 0, 0, 0, 2, 0, 8, 0, 2, 0, 0, 0, 2, 0, 0]
lengths_unioccurrent_lps(f=None)[source]

Return the list of the lengths of the unioccurrent longest (f)-palindromic suffixes (lps) for each non-empty prefix of self. No unioccurrent lps are indicated by None.

It corresponds to the function \(H_w\) defined in [BMBL2008] and [BMBFLR2008].

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism). The default value corresponds to usual palindromes, i.e., f equal to the identity.

OUTPUT:

a list – list of the length of the unioccurrent longest palindromic suffix (lps) for each non-empty prefix of self. No unioccurrent lps are indicated by None.

EXAMPLES:

sage: w = Word([0,1,1,2,3,4,5,1,13,3])
sage: w.lengths_unioccurrent_lps()
[1, 1, 2, 1, 1, 1, 1, None, 1, None]
sage: f = words.FibonacciWord()[:20]
sage: f.lengths_unioccurrent_lps() == f.lps_lengths()[1:]
True
sage: t = words.ThueMorseWord()
sage: t[:20].lengths_unioccurrent_lps()
[1, 1, 2, 4, 3, 3, 2, 4, None, None, 6, 8, 10, 12, 14, 16, 6, 8, 10, 12]
sage: f = WordMorphism({1:[0],0:[1]})
sage: t[:15].lengths_unioccurrent_lps(f)
[None, 2, None, 2, None, 4, 6, 8, 4, 6, 4, 6, None, 4, 6]
>>> from sage.all import *
>>> w = Word([Integer(0),Integer(1),Integer(1),Integer(2),Integer(3),Integer(4),Integer(5),Integer(1),Integer(13),Integer(3)])
>>> w.lengths_unioccurrent_lps()
[1, 1, 2, 1, 1, 1, 1, None, 1, None]
>>> f = words.FibonacciWord()[:Integer(20)]
>>> f.lengths_unioccurrent_lps() == f.lps_lengths()[Integer(1):]
True
>>> t = words.ThueMorseWord()
>>> t[:Integer(20)].lengths_unioccurrent_lps()
[1, 1, 2, 4, 3, 3, 2, 4, None, None, 6, 8, 10, 12, 14, 16, 6, 8, 10, 12]
>>> f = WordMorphism({Integer(1):[Integer(0)],Integer(0):[Integer(1)]})
>>> t[:Integer(15)].lengths_unioccurrent_lps(f)
[None, 2, None, 2, None, 4, 6, 8, 4, 6, 4, 6, None, 4, 6]
letters()[source]

Return the list of letters that appear in this word, listed in the order of first appearance.

EXAMPLES:

sage: Word([0,1,1,0,1,0,0,1]).letters()
[0, 1]
sage: Word("cacao").letters()
['c', 'a', 'o']
>>> from sage.all import *
>>> Word([Integer(0),Integer(1),Integer(1),Integer(0),Integer(1),Integer(0),Integer(0),Integer(1)]).letters()
[0, 1]
>>> Word("cacao").letters()
['c', 'a', 'o']
longest_backward_extension(x, y)[source]

Compute the length of the longest factor of self that ends at x and that matches a factor that ends at y.

INPUT:

  • x, y – positions in self

EXAMPLES:

sage: w = Word('0011001')
sage: w.longest_backward_extension(6, 2)
3
sage: w.longest_backward_extension(1, 4)
1
sage: w.longest_backward_extension(1, 3)
0
>>> from sage.all import *
>>> w = Word('0011001')
>>> w.longest_backward_extension(Integer(6), Integer(2))
3
>>> w.longest_backward_extension(Integer(1), Integer(4))
1
>>> w.longest_backward_extension(Integer(1), Integer(3))
0

The method also accepts negative positions indicating the distance from the end of the word (in order to be consist with how negative indices work with lists). For instance, for a word of length \(7\), using positions \(6\) and \(-5\) is the same as using positions \(6\) and \(2\):

sage: w.longest_backward_extension(6, -5)
3
sage: w.longest_backward_extension(-6, 4)
1
>>> from sage.all import *
>>> w.longest_backward_extension(Integer(6), -Integer(5))
3
>>> w.longest_backward_extension(-Integer(6), Integer(4))
1
longest_common_subword(other)[source]

Return a longest subword of self and other.

A subword of a word is a subset of the word’s letters, read in the order in which they appear in the word.

For more information, see Wikipedia article Longest_common_subsequence_problem.

INPUT:

  • other – a word

ALGORITHM:

For any indices \(i,j\), we compute the longest common subword lcs[i,j] of self[:i] and other[:j]. This can be easily obtained as the longest of

  • lcs[i-1,j]

  • lcs[i,j-1]

  • lcs[i-1,j-1]+self[i] if self[i]==other[j]

EXAMPLES:

sage: v1 = Word("abc")
sage: v2 = Word("ace")
sage: v1.longest_common_subword(v2)
word: ac

sage: w1 = Word("1010101010101010101010101010101010101010")
sage: w2 = Word("0011001100110011001100110011001100110011")
sage: w1.longest_common_subword(w2)
word: 00110011001100110011010101010
>>> from sage.all import *
>>> v1 = Word("abc")
>>> v2 = Word("ace")
>>> v1.longest_common_subword(v2)
word: ac

>>> w1 = Word("1010101010101010101010101010101010101010")
>>> w2 = Word("0011001100110011001100110011001100110011")
>>> w1.longest_common_subword(w2)
word: 00110011001100110011010101010

See also

is_subword_of()

longest_common_suffix(other)[source]

Return the longest common suffix of self and other.

EXAMPLES:

sage: w = Word('112345678')
sage: u = Word('1115678')
sage: w.longest_common_suffix(u)
word: 5678
sage: u.longest_common_suffix(u)
word: 1115678
sage: u.longest_common_suffix(w)
word: 5678
sage: w.longest_common_suffix(w)
word: 112345678
sage: y = Word('549332345')
sage: w.longest_common_suffix(y)
word:
>>> from sage.all import *
>>> w = Word('112345678')
>>> u = Word('1115678')
>>> w.longest_common_suffix(u)
word: 5678
>>> u.longest_common_suffix(u)
word: 1115678
>>> u.longest_common_suffix(w)
word: 5678
>>> w.longest_common_suffix(w)
word: 112345678
>>> y = Word('549332345')
>>> w.longest_common_suffix(y)
word:
longest_forward_extension(x, y)[source]

Compute the length of the longest factor of self that starts at x and that matches a factor that starts at y.

INPUT:

  • x, y – positions in self

EXAMPLES:

sage: w = Word('0011001')
sage: w.longest_forward_extension(0, 4)
3
sage: w.longest_forward_extension(0, 2)
0
>>> from sage.all import *
>>> w = Word('0011001')
>>> w.longest_forward_extension(Integer(0), Integer(4))
3
>>> w.longest_forward_extension(Integer(0), Integer(2))
0

The method also accepts negative positions indicating the distance from the end of the word (in order to be consist with how negative indices work with lists). For instance, for a word of length \(7\), using positions \(-3\) and \(2\) is the same as using positions \(4\) and \(2\):

sage: w.longest_forward_extension(1, -2)
2
sage: w.longest_forward_extension(4, -3)
3
>>> from sage.all import *
>>> w.longest_forward_extension(Integer(1), -Integer(2))
2
>>> w.longest_forward_extension(Integer(4), -Integer(3))
3
lps(f=None, l=None)[source]

Return the longest palindromic (or f-palindromic) suffix of self.

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism)

  • l – integer (default: None); the length of the longest palindrome suffix of self[:-1], if known

OUTPUT: word; if f is None, the longest palindromic suffix of self. Otherwise, the longest f-palindromic suffix of self.

EXAMPLES:

sage: Word('0111').lps()
word: 111
sage: Word('011101').lps()
word: 101
sage: Word('6667').lps()
word: 7
sage: Word('abbabaab').lps()
word: baab
sage: Word().lps()
word:
sage: f = WordMorphism('a->b,b->a')
sage: Word('abbabaab').lps(f=f)
word: abbabaab
sage: w = Word('33412321')
sage: w.lps(l=3)
word: 12321
sage: Y = Word
sage: w = Y('01101001')
sage: w.lps(l=2)
word: 1001
sage: w.lps()
word: 1001
sage: w.lps(l=None)
word: 1001
sage: Y().lps(l=2)
Traceback (most recent call last):
...
IndexError: list index out of range
sage: v = Word('abbabaab')
sage: pal = v[:0]
sage: for i in range(1, v.length()+1):
....:   pal = v[:i].lps(l=pal.length())
....:   pal
word: a
word: b
word: bb
word: abba
word: bab
word: aba
word: aa
word: baab
sage: f = WordMorphism('a->b,b->a')
sage: v = Word('abbabaab')
sage: pal = v[:0]
sage: for i in range(1, v.length()+1):
....:   pal = v[:i].lps(f=f, l=pal.length())
....:   pal
word:
word: ab
word:
word: ba
word: ab
word: baba
word: bbabaa
word: abbabaab
>>> from sage.all import *
>>> Word('0111').lps()
word: 111
>>> Word('011101').lps()
word: 101
>>> Word('6667').lps()
word: 7
>>> Word('abbabaab').lps()
word: baab
>>> Word().lps()
word:
>>> f = WordMorphism('a->b,b->a')
>>> Word('abbabaab').lps(f=f)
word: abbabaab
>>> w = Word('33412321')
>>> w.lps(l=Integer(3))
word: 12321
>>> Y = Word
>>> w = Y('01101001')
>>> w.lps(l=Integer(2))
word: 1001
>>> w.lps()
word: 1001
>>> w.lps(l=None)
word: 1001
>>> Y().lps(l=Integer(2))
Traceback (most recent call last):
...
IndexError: list index out of range
>>> v = Word('abbabaab')
>>> pal = v[:Integer(0)]
>>> for i in range(Integer(1), v.length()+Integer(1)):
...   pal = v[:i].lps(l=pal.length())
...   pal
word: a
word: b
word: bb
word: abba
word: bab
word: aba
word: aa
word: baab
>>> f = WordMorphism('a->b,b->a')
>>> v = Word('abbabaab')
>>> pal = v[:Integer(0)]
>>> for i in range(Integer(1), v.length()+Integer(1)):
...   pal = v[:i].lps(f=f, l=pal.length())
...   pal
word:
word: ab
word:
word: ba
word: ab
word: baba
word: bbabaa
word: abbabaab
lps_lengths(f=None)[source]

Return the length of the longest palindromic suffix of each prefix.

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism).

OUTPUT: list; the length of the longest palindromic (or f-palindromic) suffix of each prefix of self

EXAMPLES:

sage: Word('01101001').lps_lengths()
[0, 1, 1, 2, 4, 3, 3, 2, 4]
sage: Word('00000').lps_lengths()
[0, 1, 2, 3, 4, 5]
sage: Word('0').lps_lengths()
[0, 1]
sage: Word('').lps_lengths()
[0]
sage: Word().lps_lengths()
[0]
sage: f = WordMorphism('a->b,b->a')
sage: Word('abbabaab').lps_lengths(f)
[0, 0, 2, 0, 2, 2, 4, 6, 8]
>>> from sage.all import *
>>> Word('01101001').lps_lengths()
[0, 1, 1, 2, 4, 3, 3, 2, 4]
>>> Word('00000').lps_lengths()
[0, 1, 2, 3, 4, 5]
>>> Word('0').lps_lengths()
[0, 1]
>>> Word('').lps_lengths()
[0]
>>> Word().lps_lengths()
[0]
>>> f = WordMorphism('a->b,b->a')
>>> Word('abbabaab').lps_lengths(f)
[0, 0, 2, 0, 2, 2, 4, 6, 8]
lyndon_factorization()[source]

Return the Lyndon factorization of self.

The Lyndon factorization of a finite word \(w\) is the unique factorization of \(w\) as a non-increasing product of Lyndon words, i.e., \(w = l_1\cdots l_n\) where each \(l_i\) is a Lyndon word and \(l_1\geq \cdots \geq l_n\). See for instance [Duv1983].

OUTPUT: the list \([l_1, \ldots, l_n]\) of factors obtained

EXAMPLES:

sage: Word('010010010001000').lyndon_factorization()
(01, 001, 001, 0001, 0, 0, 0)
sage: Words('10')('010010010001000').lyndon_factorization()
(0, 10010010001000)
sage: Word('abbababbaababba').lyndon_factorization()
(abb, ababb, aababb, a)
sage: Words('ba')('abbababbaababba').lyndon_factorization()
(a, bbababbaaba, bba)
sage: Word([1,2,1,3,1,2,1]).lyndon_factorization()
(1213, 12, 1)
>>> from sage.all import *
>>> Word('010010010001000').lyndon_factorization()
(01, 001, 001, 0001, 0, 0, 0)
>>> Words('10')('010010010001000').lyndon_factorization()
(0, 10010010001000)
>>> Word('abbababbaababba').lyndon_factorization()
(abb, ababb, aababb, a)
>>> Words('ba')('abbababbaababba').lyndon_factorization()
(a, bbababbaaba, bba)
>>> Word([Integer(1),Integer(2),Integer(1),Integer(3),Integer(1),Integer(2),Integer(1)]).lyndon_factorization()
(1213, 12, 1)
major_index(final_descent=False)[source]

Return the major index of self.

The major index of a word \(w\) is the sum of the descents of \(w\).

With the final_descent option, the last position of a non-empty word is also considered as a descent.

EXAMPLES:

sage: w = Word([2,1,3,3,2])
sage: w.major_index()
5
sage: w = Word([2,1,3,3,2])
sage: w.major_index(final_descent=True)
10
>>> from sage.all import *
>>> w = Word([Integer(2),Integer(1),Integer(3),Integer(3),Integer(2)])
>>> w.major_index()
5
>>> w = Word([Integer(2),Integer(1),Integer(3),Integer(3),Integer(2)])
>>> w.major_index(final_descent=True)
10
minimal_conjugate()[source]

Return the lexicographically minimal conjugate of this word (see Wikipedia article Lexicographically_minimal_string_rotation).

EXAMPLES:

sage: Word('213').minimal_conjugate()
word: 132
sage: Word('11').minimal_conjugate()
word: 11
sage: Word('12112').minimal_conjugate()
word: 11212
sage: Word('211').minimal_conjugate()
word: 112
sage: Word('211211211').minimal_conjugate()
word: 112112112
>>> from sage.all import *
>>> Word('213').minimal_conjugate()
word: 132
>>> Word('11').minimal_conjugate()
word: 11
>>> Word('12112').minimal_conjugate()
word: 11212
>>> Word('211').minimal_conjugate()
word: 112
>>> Word('211211211').minimal_conjugate()
word: 112112112
minimal_period()[source]

Return the period of self.

Let \(A\) be an alphabet. An integer \(p\geq 1\) is a period of a word \(w=a_1a_2\cdots a_n\) where \(a_i\in A\) if \(a_i=a_{i+p}\) for \(i=1,\ldots,n-p\). The smallest period of \(w\) is called the period of \(w\). See Chapter 1 of [Lot2002].

EXAMPLES:

sage: Word('aba').minimal_period()
2
sage: Word('abab').minimal_period()
2
sage: Word('ababa').minimal_period()
2
sage: Word('ababaa').minimal_period()
5
sage: Word('ababac').minimal_period()
6
sage: Word('aaaaaa').minimal_period()
1
sage: Word('a').minimal_period()
1
sage: Word().minimal_period()
1
>>> from sage.all import *
>>> Word('aba').minimal_period()
2
>>> Word('abab').minimal_period()
2
>>> Word('ababa').minimal_period()
2
>>> Word('ababaa').minimal_period()
5
>>> Word('ababac').minimal_period()
6
>>> Word('aaaaaa').minimal_period()
1
>>> Word('a').minimal_period()
1
>>> Word().minimal_period()
1
nb_factor_occurrences_in(other)[source]

Return the number of times self appears as a factor in other.

Warning

This method is deprecated since 2020 and will be removed in a later version of SageMath. Use number_of_factor_occurrences() instead.

EXAMPLES:

sage: Word('123').nb_factor_occurrences_in(Word('112332312313112332121123'))
doctest:warning
...
DeprecationWarning: f.nb_factor_occurrences_in(w) is deprecated.
Use w.number_of_factor_occurrences(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
4
sage: Word('321').nb_factor_occurrences_in(Word('11233231231311233221123'))
0
>>> from sage.all import *
>>> Word('123').nb_factor_occurrences_in(Word('112332312313112332121123'))
doctest:warning
...
DeprecationWarning: f.nb_factor_occurrences_in(w) is deprecated.
Use w.number_of_factor_occurrences(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
4
>>> Word('321').nb_factor_occurrences_in(Word('11233231231311233221123'))
0

An error is raised for the empty word:

sage: Word().nb_factor_occurrences_in(Word('123'))
Traceback (most recent call last):
...
NotImplementedError: The factor must be non empty
>>> from sage.all import *
>>> Word().nb_factor_occurrences_in(Word('123'))
Traceback (most recent call last):
...
NotImplementedError: The factor must be non empty
nb_subword_occurrences_in(other)[source]

Return the number of times self appears in other as a subword.

This corresponds to the notion of \(binomial coefficient\) of two finite words whose properties are presented in the chapter of Lothaire’s book written by Sakarovitch and Simon [Lot1997].

Warning

This method is deprecated since 2020 and will be removed in a later version of SageMath. Use number_of_subword_occurrences() instead.

INPUT:

  • other – finite word

EXAMPLES:

sage: tm = words.ThueMorseWord()

sage: u = Word([0,1,0,1])
sage: u.nb_subword_occurrences_in(tm[:1000])
doctest:warning
...
DeprecationWarning: f.nb_subword_occurrences_in(w) is deprecated.
Use w.number_of_subword_occurrences(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
2604124996

sage: u = Word([0,1,0,1,1,0])
sage: u.nb_subword_occurrences_in(tm[:100])
20370432
>>> from sage.all import *
>>> tm = words.ThueMorseWord()

>>> u = Word([Integer(0),Integer(1),Integer(0),Integer(1)])
>>> u.nb_subword_occurrences_in(tm[:Integer(1000)])
doctest:warning
...
DeprecationWarning: f.nb_subword_occurrences_in(w) is deprecated.
Use w.number_of_subword_occurrences(f) instead.
See https://github.com/sagemath/sage/issues/30187 for details.
2604124996

>>> u = Word([Integer(0),Integer(1),Integer(0),Integer(1),Integer(1),Integer(0)])
>>> u.nb_subword_occurrences_in(tm[:Integer(100)])
20370432

Note

This code, based on [MSSY2001], actually compute the number of occurrences of all prefixes of self as subwords in all prefixes of other. In particular, its complexity is bounded by len(self) * len(other).

number_of_factor_occurrences(other)[source]

Return the number of times other appears as a factor in self.

INPUT:

  • other – a non empty word

EXAMPLES:

sage: w = Word('112332312313112332121123')
sage: w.number_of_factor_occurrences(Word('123'))
4
sage: w = Word('11233231231311233221123')
sage: w.number_of_factor_occurrences(Word('321'))
0
>>> from sage.all import *
>>> w = Word('112332312313112332121123')
>>> w.number_of_factor_occurrences(Word('123'))
4
>>> w = Word('11233231231311233221123')
>>> w.number_of_factor_occurrences(Word('321'))
0

sage: Word().number_of_factor_occurrences(Word('123'))
0
>>> from sage.all import *
>>> Word().number_of_factor_occurrences(Word('123'))
0

An error is raised for the empty word:

sage: Word('123').number_of_factor_occurrences(Word())
Traceback (most recent call last):
...
NotImplementedError: The factor must be non empty
>>> from sage.all import *
>>> Word('123').number_of_factor_occurrences(Word())
Traceback (most recent call last):
...
NotImplementedError: The factor must be non empty
number_of_factors(n=None, algorithm='suffix tree')[source]

Count the number of distinct factors of self.

INPUT:

  • n – integer or None

  • algorithm – string (default: 'suffix tree'); takes the following values:

    • 'suffix tree' – construct and use the suffix tree of the word

    • 'naive' – algorithm uses a sliding window

OUTPUT:

If n is an integer, returns the number of distinct factors of length n. If n is None, returns the total number of distinct factors.

EXAMPLES:

sage: w = Word([1,2,1,2,3])
sage: w.number_of_factors()
13
sage: [w.number_of_factors(i) for i in range(6)]
[1, 3, 3, 3, 2, 1]
>>> from sage.all import *
>>> w = Word([Integer(1),Integer(2),Integer(1),Integer(2),Integer(3)])
>>> w.number_of_factors()
13
>>> [w.number_of_factors(i) for i in range(Integer(6))]
[1, 3, 3, 3, 2, 1]

sage: w = words.ThueMorseWord()[:100]
sage: [w.number_of_factors(i) for i in range(10)]
[1, 2, 4, 6, 10, 12, 16, 20, 22, 24]
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(100)]
>>> [w.number_of_factors(i) for i in range(Integer(10))]
[1, 2, 4, 6, 10, 12, 16, 20, 22, 24]

sage: Word('1213121').number_of_factors()
22
sage: Word('1213121').number_of_factors(1)
3
>>> from sage.all import *
>>> Word('1213121').number_of_factors()
22
>>> Word('1213121').number_of_factors(Integer(1))
3

sage: Word('a'*100).number_of_factors()
101
sage: Word('a'*100).number_of_factors(77)
1
>>> from sage.all import *
>>> Word('a'*Integer(100)).number_of_factors()
101
>>> Word('a'*Integer(100)).number_of_factors(Integer(77))
1

sage: Word().number_of_factors()
1
sage: Word().number_of_factors(17)
0
>>> from sage.all import *
>>> Word().number_of_factors()
1
>>> Word().number_of_factors(Integer(17))
0

sage: blueberry = Word("blueberry")
sage: blueberry.number_of_factors()
43
sage: [blueberry.number_of_factors(i) for i in range(10)]
[1, 6, 8, 7, 6, 5, 4, 3, 2, 1]
>>> from sage.all import *
>>> blueberry = Word("blueberry")
>>> blueberry.number_of_factors()
43
>>> [blueberry.number_of_factors(i) for i in range(Integer(10))]
[1, 6, 8, 7, 6, 5, 4, 3, 2, 1]
number_of_inversions()[source]

Return the number of inversions in self.

An inversion of a word \(w = w_1 \ldots w_n\) is a pair of indices \((i, j)\) with \(i < j\) and \(w_i > w_j\).

EXAMPLES:

sage: w = Word([2,1,3,3,2])
sage: w.number_of_inversions()
3
>>> from sage.all import *
>>> w = Word([Integer(2),Integer(1),Integer(3),Integer(3),Integer(2)])
>>> w.number_of_inversions()
3
number_of_left_special_factors(n)[source]

Return the number of left special factors of length \(n\).

A factor \(u\) of a word \(w\) is left special if there are two distinct letters \(a\) and \(b\) such that \(au\) and \(bu\) are factors of \(w\).

INPUT:

  • n – integer

OUTPUT: nonnegative integer

EXAMPLES:

sage: w = words.FibonacciWord()[:100]
sage: [w.number_of_left_special_factors(i) for i in range(10)]
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(100)]
>>> [w.number_of_left_special_factors(i) for i in range(Integer(10))]
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]

sage: w = words.ThueMorseWord()[:100]
sage: [w.number_of_left_special_factors(i) for i in range(10)]
[1, 2, 2, 4, 2, 4, 4, 2, 2, 4]
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(100)]
>>> [w.number_of_left_special_factors(i) for i in range(Integer(10))]
[1, 2, 2, 4, 2, 4, 4, 2, 2, 4]
number_of_letter_occurrences(letter)[source]

Return the number of occurrences of letter in self.

INPUT:

  • letter – a letter

OUTPUT: integer

EXAMPLES:

sage: w = Word('abbabaab')
sage: w.number_of_letter_occurrences('a')
4
sage: w.number_of_letter_occurrences('ab')
0
>>> from sage.all import *
>>> w = Word('abbabaab')
>>> w.number_of_letter_occurrences('a')
4
>>> w.number_of_letter_occurrences('ab')
0

This methods is equivalent to list(w).count(letter) and tuple(w).count(letter), thus count is an alias for the method number_of_letter_occurrences:

sage: list(w).count('a')
4
sage: w.count('a')
4
>>> from sage.all import *
>>> list(w).count('a')
4
>>> w.count('a')
4

But notice that if s and w are strings, Word(s).count(w) counts the number occurrences of w as a letter in Word(s) which is not the same as s.count(w) which counts the number of occurrences of the string w inside s:

sage: s = 'abbabaab'
sage: s.count('ab')
3
sage: Word(s).count('ab')
0
>>> from sage.all import *
>>> s = 'abbabaab'
>>> s.count('ab')
3
>>> Word(s).count('ab')
0
number_of_right_special_factors(n)[source]

Return the number of right special factors of length n.

A factor \(u\) of a word \(w\) is right special if there are two distinct letters \(a\) and \(b\) such that \(ua\) and \(ub\) are factors of \(w\).

INPUT:

  • n – integer

OUTPUT: nonnegative integer

EXAMPLES:

sage: w = words.FibonacciWord()[:100]
sage: [w.number_of_right_special_factors(i) for i in range(10)]
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(100)]
>>> [w.number_of_right_special_factors(i) for i in range(Integer(10))]
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]

sage: w = words.ThueMorseWord()[:100]
sage: [w.number_of_right_special_factors(i) for i in range(10)]
[1, 2, 2, 4, 2, 4, 4, 2, 2, 4]
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(100)]
>>> [w.number_of_right_special_factors(i) for i in range(Integer(10))]
[1, 2, 2, 4, 2, 4, 4, 2, 2, 4]
number_of_subword_occurrences(other)[source]

Return the number of times other appears in self as a subword.

This corresponds to the notion of \(binomial coefficient\) of two finite words whose properties are presented in the chapter of Lothaire’s book written by Sakarovitch and Simon [Lot1997].

INPUT:

  • other – finite word

EXAMPLES:

sage: tm = words.ThueMorseWord()
sage: u = Word([0,1,0,1])
sage: tm[:1000].number_of_subword_occurrences(u)
2604124996

sage: u = Word([0,1,0,1,1,0])
sage: tm[:100].number_of_subword_occurrences(u)
20370432
>>> from sage.all import *
>>> tm = words.ThueMorseWord()
>>> u = Word([Integer(0),Integer(1),Integer(0),Integer(1)])
>>> tm[:Integer(1000)].number_of_subword_occurrences(u)
2604124996

>>> u = Word([Integer(0),Integer(1),Integer(0),Integer(1),Integer(1),Integer(0)])
>>> tm[:Integer(100)].number_of_subword_occurrences(u)
20370432

Note

This code, based on [MSSY2001], actually compute the number of occurrences of all prefixes of self as subwords in all prefixes of other. In particular, its complexity is bounded by len(self) * len(other).

order()[source]

Return the order of self.

Let \(p(w)\) be the period of a word \(w\). The positive rational number \(|w|/p(w)\) is the order of \(w\). See Chapter 8 of [Lot2002].

OUTPUT: rational; the order

EXAMPLES:

sage: Word('abaaba').order()
2
sage: Word('ababaaba').order()
8/5
sage: Word('a').order()
1
sage: Word('aa').order()
2
sage: Word().order()
0
>>> from sage.all import *
>>> Word('abaaba').order()
2
>>> Word('ababaaba').order()
8/5
>>> Word('a').order()
1
>>> Word('aa').order()
2
>>> Word().order()
0
overlap_partition(other, delay=0, p=None, involution=None)[source]

Return the partition of the alphabet induced by the overlap of self and other with the given delay.

The partition of the alphabet is given by the equivalence relation obtained from the symmetric, reflexive and transitive closure of the set of pairs of letters \(R_{u,v,d} = \{ (u_k, v_{k-d}) : 0 \leq k < n, 0\leq k-d < m \}\) where \(u = u_0 u_1 \cdots u_{n-1}\), \(v = v_0v_1\cdots v_{m-1}\) are two words on the alphabet \(A\) and \(d\) is an integer.

The equivalence relation defined by \(R\) is inspired from [Lab2008].

INPUT:

  • other – word on the same alphabet as self

  • delay – integer (default: \(0\))

  • p – disjoint sets data structure (default: None), a partition of the alphabet into disjoint sets to start with. If None, each letter start in distinct equivalence classes.

  • involution – callable (default: None); an involution on the alphabet. If involution is not None, the relation \(R_{u,v,d} \cup R_{involution(u),involution(v),d}\) is considered.

OUTPUT: a disjoint set data structure

EXAMPLES:

sage: W = Words(list('abc012345'))
sage: u = W('abc')
sage: v = W('01234')
sage: u.overlap_partition(v)
{{'0', 'a'}, {'1', 'b'}, {'2', 'c'}, {'3'}, {'4'}, {'5'}}
sage: u.overlap_partition(v, 2)
{{'0', 'c'}, {'1'}, {'2'}, {'3'}, {'4'}, {'5'}, {'a'}, {'b'}}
sage: u.overlap_partition(v, -1)
{{'0'}, {'1', 'a'}, {'2', 'b'}, {'3', 'c'}, {'4'}, {'5'}}
>>> from sage.all import *
>>> W = Words(list('abc012345'))
>>> u = W('abc')
>>> v = W('01234')
>>> u.overlap_partition(v)
{{'0', 'a'}, {'1', 'b'}, {'2', 'c'}, {'3'}, {'4'}, {'5'}}
>>> u.overlap_partition(v, Integer(2))
{{'0', 'c'}, {'1'}, {'2'}, {'3'}, {'4'}, {'5'}, {'a'}, {'b'}}
>>> u.overlap_partition(v, -Integer(1))
{{'0'}, {'1', 'a'}, {'2', 'b'}, {'3', 'c'}, {'4'}, {'5'}}

You can re-use the same disjoint set and do more than one overlap:

sage: p = u.overlap_partition(v, 2)
sage: p
{{'0', 'c'}, {'1'}, {'2'}, {'3'}, {'4'}, {'5'}, {'a'}, {'b'}}
sage: u.overlap_partition(v, 1, p)
{{'0', '1', 'b', 'c'}, {'2'}, {'3'}, {'4'}, {'5'}, {'a'}}
>>> from sage.all import *
>>> p = u.overlap_partition(v, Integer(2))
>>> p
{{'0', 'c'}, {'1'}, {'2'}, {'3'}, {'4'}, {'5'}, {'a'}, {'b'}}
>>> u.overlap_partition(v, Integer(1), p)
{{'0', '1', 'b', 'c'}, {'2'}, {'3'}, {'4'}, {'5'}, {'a'}}

The function overlap_partition can be used to study equations on words. For example, if a word \(w\) overlaps itself with delay \(d\), then \(d\) is a period of \(w\):

sage: W = Words(range(20))
sage: w = W(range(14)); w
word: 0,1,2,3,4,5,6,7,8,9,10,11,12,13
sage: d = 5
sage: p = w.overlap_partition(w, d)
sage: m = WordMorphism(p.element_to_root_dict())
sage: w2 = m(w); w2
word: 56789567895678
sage: w2.minimal_period() == d
True
>>> from sage.all import *
>>> W = Words(range(Integer(20)))
>>> w = W(range(Integer(14))); w
word: 0,1,2,3,4,5,6,7,8,9,10,11,12,13
>>> d = Integer(5)
>>> p = w.overlap_partition(w, d)
>>> m = WordMorphism(p.element_to_root_dict())
>>> w2 = m(w); w2
word: 56789567895678
>>> w2.minimal_period() == d
True

If a word is equal to its reversal, then it is a palindrome:

sage: W = Words(range(20))
sage: w = W(range(17)); w
word: 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16
sage: p = w.overlap_partition(w.reversal(), 0)
sage: m = WordMorphism(p.element_to_root_dict())
sage: w2 = m(w); w2
word: 01234567876543210
sage: w2.parent()
Finite words over {0, 1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19}
sage: w2.is_palindrome()
True
>>> from sage.all import *
>>> W = Words(range(Integer(20)))
>>> w = W(range(Integer(17))); w
word: 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16
>>> p = w.overlap_partition(w.reversal(), Integer(0))
>>> m = WordMorphism(p.element_to_root_dict())
>>> w2 = m(w); w2
word: 01234567876543210
>>> w2.parent()
Finite words over {0, 1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19}
>>> w2.is_palindrome()
True

If the reversal of a word \(w\) is factor of its square \(w^2\), then \(w\) is symmetric, i.e. the product of two palindromes:

sage: W = Words(range(10))
sage: w = W(range(10)); w
word: 0123456789
sage: p = (w*w).overlap_partition(w.reversal(), 4)
sage: m = WordMorphism(p.element_to_root_dict())
sage: w2 = m(w); w2
word: 0110456654
sage: w2.is_symmetric()
True
>>> from sage.all import *
>>> W = Words(range(Integer(10)))
>>> w = W(range(Integer(10))); w
word: 0123456789
>>> p = (w*w).overlap_partition(w.reversal(), Integer(4))
>>> m = WordMorphism(p.element_to_root_dict())
>>> w2 = m(w); w2
word: 0110456654
>>> w2.is_symmetric()
True

If the image of the reversal of a word \(w\) under an involution \(f\) is factor of its square \(w^2\), then \(w\) is \(f\)-symmetric:

sage: W = Words([-11,-9,..,11])
sage: w = W([1,3,..,11])
sage: w
word: 1,3,5,7,9,11
sage: inv = lambda x:-x
sage: f = WordMorphism(dict( (a, inv(a)) for a in W.alphabet()))
sage: p = (w*w).overlap_partition(f(w).reversal(), 2, involution=f)
sage: m = WordMorphism(p.element_to_root_dict())
sage: m(w)
word: 1,-1,5,7,-7,-5
sage: m(w).is_symmetric(f)
True
>>> from sage.all import *
>>> W = Words((ellipsis_range(-Integer(11),-Integer(9),Ellipsis,Integer(11))))
>>> w = W((ellipsis_range(Integer(1),Integer(3),Ellipsis,Integer(11))))
>>> w
word: 1,3,5,7,9,11
>>> inv = lambda x:-x
>>> f = WordMorphism(dict( (a, inv(a)) for a in W.alphabet()))
>>> p = (w*w).overlap_partition(f(w).reversal(), Integer(2), involution=f)
>>> m = WordMorphism(p.element_to_root_dict())
>>> m(w)
word: 1,-1,5,7,-7,-5
>>> m(w).is_symmetric(f)
True
palindrome_prefixes()[source]

Return a list of all palindrome prefixes of self.

EXAMPLES:

sage: w = Word('abaaba')
sage: w.palindrome_prefixes()
[word: , word: a, word: aba, word: abaaba]
sage: w = Word('abbbbbbbbbb')
sage: w.palindrome_prefixes()
[word: , word: a]
>>> from sage.all import *
>>> w = Word('abaaba')
>>> w.palindrome_prefixes()
[word: , word: a, word: aba, word: abaaba]
>>> w = Word('abbbbbbbbbb')
>>> w.palindrome_prefixes()
[word: , word: a]
palindromes(f=None)[source]

Return the set of all palindromic (or f-palindromic) factors of self.

INPUT:

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism).

OUTPUT: a set – If f is None, the set of all palindromic factors of self; otherwise, the set of all f-palindromic factors of self

EXAMPLES:

sage: sorted(Word('01101001').palindromes())
[word: , word: 0, word: 00, word: 010, word: 0110, word: 1, word: 1001, word: 101, word: 11]
sage: sorted(Word('00000').palindromes())
[word: , word: 0, word: 00, word: 000, word: 0000, word: 00000]
sage: sorted(Word('0').palindromes())
[word: , word: 0]
sage: sorted(Word('').palindromes())
[word: ]
sage: sorted(Word().palindromes())
[word: ]
sage: f = WordMorphism('a->b,b->a')
sage: sorted(Word('abbabaab').palindromes(f))
[word: , word: ab, word: abbabaab, word: ba, word: baba, word: bbabaa]
>>> from sage.all import *
>>> sorted(Word('01101001').palindromes())
[word: , word: 0, word: 00, word: 010, word: 0110, word: 1, word: 1001, word: 101, word: 11]
>>> sorted(Word('00000').palindromes())
[word: , word: 0, word: 00, word: 000, word: 0000, word: 00000]
>>> sorted(Word('0').palindromes())
[word: , word: 0]
>>> sorted(Word('').palindromes())
[word: ]
>>> sorted(Word().palindromes())
[word: ]
>>> f = WordMorphism('a->b,b->a')
>>> sorted(Word('abbabaab').palindromes(f))
[word: , word: ab, word: abbabaab, word: ba, word: baba, word: bbabaa]
palindromic_closure(side='right', f=None)[source]

Return the shortest palindrome having self as a prefix (or as a suffix if side is 'left').

See [DeLuca2006].

INPUT:

  • side'right' or 'left' (default: 'right') the direction of the closure

  • f – involution (default: None) on the alphabet of self; it must be callable on letters as well as words (e.g. WordMorphism)

OUTPUT:

a word – If f is None, the right palindromic closure of self; otherwise, the right f-palindromic closure of self. If side is 'left', the left palindromic closure.

EXAMPLES:

sage: Word('1233').palindromic_closure()
word: 123321
sage: Word('12332').palindromic_closure()
word: 123321
sage: Word('0110343').palindromic_closure()
word: 01103430110
sage: Word('0110343').palindromic_closure(side='left')
word: 3430110343
sage: Word('01105678').palindromic_closure(side='left')
word: 876501105678
sage: w = Word('abbaba')
sage: w.palindromic_closure()
word: abbababba
>>> from sage.all import *
>>> Word('1233').palindromic_closure()
word: 123321
>>> Word('12332').palindromic_closure()
word: 123321
>>> Word('0110343').palindromic_closure()
word: 01103430110
>>> Word('0110343').palindromic_closure(side='left')
word: 3430110343
>>> Word('01105678').palindromic_closure(side='left')
word: 876501105678
>>> w = Word('abbaba')
>>> w.palindromic_closure()
word: abbababba

sage: f = WordMorphism('a->b,b->a')
sage: w.palindromic_closure(f=f)
word: abbabaab
sage: w.palindromic_closure(f=f, side='left')
word: babaabbaba
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> w.palindromic_closure(f=f)
word: abbabaab
>>> w.palindromic_closure(f=f, side='left')
word: babaabbaba
palindromic_complexity(n)[source]

Return the number of distinct palindromic factors of length n of self.

INPUT:

  • n – the length of the factors

EXAMPLES:

sage: w = words.FibonacciWord()[:100]
sage: [w.palindromic_complexity(i) for i in range(20)]
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
>>> from sage.all import *
>>> w = words.FibonacciWord()[:Integer(100)]
>>> [w.palindromic_complexity(i) for i in range(Integer(20))]
[1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2]

sage: w = words.ThueMorseWord()[:1000]
sage: [w.palindromic_complexity(i) for i in range(20)]
[1, 2, 2, 2, 2, 0, 4, 0, 4, 0, 4, 0, 4, 0, 2, 0, 2, 0, 4, 0]
>>> from sage.all import *
>>> w = words.ThueMorseWord()[:Integer(1000)]
>>> [w.palindromic_complexity(i) for i in range(Integer(20))]
[1, 2, 2, 2, 2, 0, 4, 0, 4, 0, 4, 0, 4, 0, 2, 0, 2, 0, 4, 0]
palindromic_lacunas_study(f=None)[source]

Return interesting statistics about longest (f-)palindromic suffixes and lacunas of self (see [BMBL2008] and [BMBFLR2008]).

Note that a word \(w\) has at most \(|w| + 1\) different palindromic factors (see [DJP2001]). For \(f\)-palindromes (or pseudopalindromes or theta-palindromes), the maximum number of \(f\)-palindromic factors is \(|w|+1-g_f(w)\), where \(g_f(w)\) is the number of pairs \(\{a, f(a)\}\) such that \(a\) is a letter, \(a\) is not equal to \(f(a)\), and \(a\) or \(f(a)\) occurs in \(w\), see [Star2011].

INPUT:

  • f – involution (default: None) on the alphabet of self. It must be callable on letters as well as words (e.g. WordMorphism). The default value corresponds to usual palindromes, i.e., f equal to the identity.

OUTPUT:

  • list – list of the length of the longest palindromic suffix (lps) for each non-empty prefix of self

  • list – list of all the lacunas, i.e. positions where there is no unioccurrent lps

  • set – set of palindromic factors of self

EXAMPLES:

sage: a,b,c = Word('abbabaabbaab').palindromic_lacunas_study()
sage: a
[1, 1, 2, 4, 3, 3, 2, 4, 2, 4, 6, 8]
sage: b
[8, 9]
sage: c          # random order
set([word: , word: b, word: bab, word: abba, word: bb, word: aa, word: baabbaab, word: baab, word: aba, word: aabbaa, word: a])
>>> from sage.all import *
>>> a,b,c = Word('abbabaabbaab').palindromic_lacunas_study()
>>> a
[1, 1, 2, 4, 3, 3, 2, 4, 2, 4, 6, 8]
>>> b
[8, 9]
>>> c          # random order
set([word: , word: b, word: bab, word: abba, word: bb, word: aa, word: baabbaab, word: baab, word: aba, word: aabbaa, word: a])

sage: f = WordMorphism('a->b,b->a')
sage: a,b,c = Word('abbabaab').palindromic_lacunas_study(f=f)
sage: a
[0, 2, 0, 2, 2, 4, 6, 8]
sage: b
[0, 2, 4]
sage: c           # random order
set([word: , word: ba, word: baba, word: ab, word: bbabaa, word: abbabaab])
sage: c == set([Word(), Word('ba'), Word('baba'), Word('ab'), Word('bbabaa'), Word('abbabaab')])
True
>>> from sage.all import *
>>> f = WordMorphism('a->b,b->a')
>>> a,b,c = Word('abbabaab').palindromic_lacunas_study(f=f)
>>> a
[0, 2, 0, 2, 2, 4, 6, 8]
>>> b
[0, 2, 4]
>>> c           # random order
set([word: , word: ba, word: baba, word: ab, word: bbabaa, word: abbabaab])
>>> c == set([Word(), Word('ba'), Word('baba'), Word('ab'), Word('bbabaa'), Word('abbabaab')])
True
periods(divide_length=False)[source]

Return a list containing the periods of self between \(1\) and \(n - 1\), where \(n\) is the length of self.

INPUT:

  • divide_length – boolean (default: False); when set to True, then only periods that divide the length of self are considered

OUTPUT: list of positive integers

EXAMPLES:

sage: w = Word('ababab')
sage: w.periods()
[2, 4]
sage: w.periods(divide_length=True)
[2]
sage: w = Word('ababa')
sage: w.periods()
[2, 4]
sage: w.periods(divide_length=True)
[]
>>> from sage.all import *
>>> w = Word('ababab')
>>> w.periods()
[2, 4]
>>> w.periods(divide_length=True)
[2]
>>> w = Word('ababa')
>>> w.periods()
[2, 4]
>>> w.periods(divide_length=True)
[]
phi()[source]

Apply the phi function to self and return the result. This is the word obtained by taking the first letter of the words obtained by iterating delta on self.

OUTPUT: a word – the result of the phi function