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""" 

Partition Species 

""" 

from __future__ import absolute_import 

#***************************************************************************** 

# Copyright (C) 2008 Mike Hansen <mhansen@gmail.com>, 

# 

# Distributed under the terms of the GNU General Public License (GPL) 

# 

# This code is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 

# General Public License for more details. 

# 

# The full text of the GPL is available at: 

# 

# http://www.gnu.org/licenses/ 

#***************************************************************************** 

 

from .species import GenericCombinatorialSpecies 

from .generating_series import _integers_from, factorial_stream 

from .subset_species import SubsetSpeciesStructure 

from .set_species import SetSpecies 

from .structure import GenericSpeciesStructure 

from sage.combinat.species.misc import accept_size 

from functools import reduce 

 

class PartitionSpeciesStructure(GenericSpeciesStructure): 

def __init__(self, parent, labels, list): 

""" 

EXAMPLES:: 

 

sage: from sage.combinat.species.partition_species import PartitionSpeciesStructure 

sage: P = species.PartitionSpecies() 

sage: s = PartitionSpeciesStructure(P, ['a','b','c'], [[1,2],[3]]); s 

{{'a', 'b'}, {'c'}} 

sage: s == loads(dumps(s)) 

True 

""" 

list = [SubsetSpeciesStructure(parent, labels, block) if not isinstance(block, SubsetSpeciesStructure) else block for block in list] 

list.sort(key=lambda block:(-len(block), block)) 

GenericSpeciesStructure.__init__(self, parent, labels, list) 

 

def __repr__(self): 

""" 

EXAMPLES:: 

 

sage: S = species.PartitionSpecies() 

sage: a = S.structures(["a","b","c"]).random_element(); a 

{{'a', 'b', 'c'}} 

""" 

s = GenericSpeciesStructure.__repr__(self) 

return "{"+s[1:-1]+"}" 

 

def canonical_label(self): 

""" 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: S = P.structures(["a", "b", "c"]) 

sage: [s.canonical_label() for s in S] 

[{{'a', 'b', 'c'}}, 

{{'a', 'b'}, {'c'}}, 

{{'a', 'b'}, {'c'}}, 

{{'a', 'b'}, {'c'}}, 

{{'a'}, {'b'}, {'c'}}] 

""" 

P = self.parent() 

p = [len(block) for block in self._list] 

return P._canonical_rep_from_partition(self.__class__, self._labels, p) 

 

def transport(self, perm): 

""" 

Returns the transport of this set partition along the permutation 

perm. For set partitions, this is the direct product of the 

automorphism groups for each of the blocks. 

 

EXAMPLES:: 

 

sage: p = PermutationGroupElement((2,3)) 

sage: from sage.combinat.species.partition_species import PartitionSpeciesStructure 

sage: a = PartitionSpeciesStructure(None, [2,3,4], [[1,2],[3]]); a 

{{2, 3}, {4}} 

sage: a.transport(p) 

{{2, 4}, {3}} 

""" 

l = [block.transport(perm)._list for block in self._list] 

l.sort(key=lambda block:(-len(block), block)) 

return PartitionSpeciesStructure(self.parent(), self._labels, l) 

 

def automorphism_group(self): 

""" 

Returns the group of permutations whose action on this set 

partition leave it fixed. 

 

EXAMPLES:: 

 

sage: p = PermutationGroupElement((2,3)) 

sage: from sage.combinat.species.partition_species import PartitionSpeciesStructure 

sage: a = PartitionSpeciesStructure(None, [2,3,4], [[1,2],[3]]); a 

{{2, 3}, {4}} 

sage: a.automorphism_group() 

Permutation Group with generators [(1,2)] 

""" 

from sage.groups.all import SymmetricGroup 

return reduce(lambda a,b: a.direct_product(b, maps=False), 

[SymmetricGroup(block._list) for block in self._list]) 

 

 

def change_labels(self, labels): 

""" 

Return a relabelled structure. 

 

INPUT: 

 

- ``labels``, a list of labels. 

 

OUTPUT: 

 

A structure with the i-th label of self replaced with the i-th 

label of the list. 

 

EXAMPLES:: 

 

sage: p = PermutationGroupElement((2,3)) 

sage: from sage.combinat.species.partition_species import PartitionSpeciesStructure 

sage: a = PartitionSpeciesStructure(None, [2,3,4], [[1,2],[3]]); a 

{{2, 3}, {4}} 

sage: a.change_labels([1,2,3]) 

{{1, 2}, {3}} 

""" 

return PartitionSpeciesStructure(self.parent(), labels, [block.change_labels(labels) for block in self._list]) 

 

 

class PartitionSpecies(GenericCombinatorialSpecies): 

@staticmethod 

@accept_size 

def __classcall__(cls, *args, **kwds): 

""" 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies(); P 

Partition species 

""" 

return super(PartitionSpecies, cls).__classcall__(cls, *args, **kwds) 

 

def __init__(self, min=None, max=None, weight=None): 

""" 

Returns the species of partitions. 

 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: P.generating_series().coefficients(5) 

[1, 1, 1, 5/6, 5/8] 

sage: P.isotype_generating_series().coefficients(5) 

[1, 1, 2, 3, 5] 

 

sage: P = species.PartitionSpecies() 

sage: P._check() 

True 

sage: P == loads(dumps(P)) 

True 

""" 

GenericCombinatorialSpecies.__init__(self, min=min, max=max, weight=weight) 

self._name = "Partition species" 

 

_default_structure_class = PartitionSpeciesStructure 

 

def _structures(self, structure_class, labels): 

""" 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: P.structures([1,2,3]).list() 

[{{1, 2, 3}}, {{1, 3}, {2}}, {{1, 2}, {3}}, {{2, 3}, {1}}, {{1}, {2}, {3}}] 

""" 

from sage.combinat.restricted_growth import RestrictedGrowthArrays 

n = len(labels) 

 

if n == 0: 

yield structure_class(self, labels, []) 

return 

 

u = [i for i in reversed(range(1, n+1))] 

s0 = u.pop() 

 

#Reconstruct the set partitions from 

#restricted growth arrays 

for a in RestrictedGrowthArrays(n): 

m = a.pop(0) 

r = [[] for _ in range(m)] 

i = n 

for i,z in enumerate(u): 

r[a[i]].append(z) 

r[0].append(s0) 

 

for sp in r: 

sp.reverse() 

 

r.sort(key=lambda x: len(x), reverse=True) 

 

yield structure_class(self, labels, r) 

 

def _isotypes(self, structure_class, labels): 

""" 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: P.isotypes([1,2,3,4]).list() 

[{{1, 2, 3, 4}}, 

{{1, 2, 3}, {4}}, 

{{1, 2}, {3, 4}}, 

{{1, 2}, {3}, {4}}, 

{{1}, {2}, {3}, {4}}] 

""" 

from sage.combinat.partition import Partitions 

for p in Partitions(len(labels)): 

yield self._canonical_rep_from_partition(structure_class, labels, p) 

 

def _canonical_rep_from_partition(self, structure_class, labels, p): 

""" 

Returns the canonical representative corresponding to the partition 

p. 

 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: P._canonical_rep_from_partition(P._default_structure_class,[1,2,3],[2,1]) 

{{1, 2}, {3}} 

""" 

breaks = [sum(p[:i]) for i in range(len(p) + 1)] 

return structure_class(self, labels, [list(range(breaks[i]+1, breaks[i+1]+1)) for i in range(len(p))]) 

 

def _gs_iterator(self, base_ring): 

r""" 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: g = P.generating_series() 

sage: g.coefficients(5) 

[1, 1, 1, 5/6, 5/8] 

""" 

from sage.combinat.combinat import bell_number 

for n in _integers_from(0): 

yield self._weight*base_ring(bell_number(n)/factorial_stream[n]) 

 

def _itgs_iterator(self, base_ring): 

r""" 

The isomorphism type generating series is given by 

`\frac{1}{1-x}`. 

 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: g = P.isotype_generating_series() 

sage: g.coefficients(10) 

[1, 1, 2, 3, 5, 7, 11, 15, 22, 30] 

""" 

from sage.combinat.partitions import number_of_partitions 

for n in _integers_from(0): 

yield self._weight*base_ring(number_of_partitions(n)) 

 

def _cis(self, series_ring, base_ring): 

r""" 

The cycle index series for the species of partitions is given by 

 

.. MATH:: 

 

exp \sum_{n \ge 1} \frac{1}{n} \left( exp \left( \sum_{k \ge 1} \frac{x_{kn}}{k} \right) -1 \right). 

 

 

 

EXAMPLES:: 

 

sage: P = species.PartitionSpecies() 

sage: g = P.cycle_index_series() 

sage: g.coefficients(5) 

[p[], 

p[1], 

p[1, 1] + p[2], 

5/6*p[1, 1, 1] + 3/2*p[2, 1] + 2/3*p[3], 

5/8*p[1, 1, 1, 1] + 7/4*p[2, 1, 1] + 7/8*p[2, 2] + p[3, 1] + 3/4*p[4]] 

""" 

ciset = SetSpecies().cycle_index_series(base_ring) 

res = ciset.composition(ciset - 1) 

if self.is_weighted(): 

res *= self._weight 

return res 

 

#Backward compatibility 

PartitionSpecies_class = PartitionSpecies