def collipicanimal(LISTE, o, listetab, screen, bloc):
if bloc.type == 6 or bloc.type == 7 or bloc.type == 3 or bloc.type == 9:
LISTE.update()
Tableau.initPerso(listetab[numtab], o, screen)
screen.blit(listetab[numtab].background, (0, 0))
LISTE.draw(screen)
screen.blit(o.image, o.pos)
class GenRegionVoronoi(GenRegion):
def __init__(self, largeur, hauteur, nb=10):
GenRegion.__init__(self, nb)
self.tab = Tableau(largeur, hauteur)
for x, y in self.tab.iterC():
self.tab[x, y] = Case(x, y)
self.tab[x, y].value = -1
self.init = []
self.liste = [elt for elt in self.tab.iterB()]
for i in range(nb):
case = self.tab[self.liste[randrange(len(self.liste))]]
case.value = i
self.init.append(case)
self.regions.append(Region(nb, interieur=[case]))
for case in self.tab.values():
distance = self.tab.X * self.tab.Y
id = -1
for init in self.init:
if case.Distance(init) < distance:
distance = case.Distance(init)
id = init.value
case.value = id
voisins = [
self.tab[elt]
for elt in case.Voisins()
if elt in self.tab and self.tab[elt].value != -1 and self.tab[elt].value != id
]
if len(voisins):
self.regions[id].addFro(case)
for elt in voisins:
if elt in self.regions[id].interieur:
self.regions[id].interieur.remove(elt)
self.regions[id].addFro(elt)
else:
self.regions[id].addInt(case)
def e_hat(tab, star=0):
"""
The Young projection operator, an idempotent in the rational group algebra.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import e_hat
sage: e_hat([[1,2,3]])
1/6*[1, 2, 3] + 1/6*[1, 3, 2] + 1/6*[2, 1, 3] + 1/6*[2, 3, 1] + 1/6*[3, 1, 2] + 1/6*[3, 2, 1]
sage: e_hat([[1],[2]])
1/2*[1, 2] - 1/2*[2, 1]
There are differing conventions for the order of the symmetrizers
and antisymmetrizers. This example illustrates our conventions::
sage: e_hat([[1,2],[3]])
1/3*[1, 2, 3] + 1/3*[2, 1, 3] - 1/3*[3, 1, 2] - 1/3*[3, 2, 1]
"""
t = Tableau(tab)
if star:
t = t.restrict(t.size()-star)
if t in ehat_cache:
res = ehat_cache[t]
else:
res = (1/kappa(t.shape()))*e(t)
return res
def prepare_auxiliar_matrix(tableau, bases):
logging.debug("Preparing auxiliar matrix for operations")
# Make a copy of matrix to operate over without changing the original values
matrix_aux = copy.copy(tableau.matrix_tableau)
# On the auxiliar matrix, the costs of initial columns are zero
matrix_aux[0, :] *= 0
# Creating the aditional columuns
aditional_cols = Tools.identity(tableau.restrictions)
# Additional values on costs vector
aditional_costs = [1] * tableau.restrictions
extension_matrix = []
extension_matrix = np.insert(aditional_cols, 0, aditional_costs, 0)
for col_index in range(len(extension_matrix[0, :])):
matrix_aux = np.insert(
matrix_aux,
len(tableau.matrix_tableau[0, :]) - 1 + col_index,
extension_matrix[:, col_index], 1)
tmp_row = 1
for index in range(
len(matrix_aux[0, :]) - len(extension_matrix[0, :]) - 1,
len(matrix_aux[0, :]) - 1):
Simplex.define_bases(bases, tmp_row, index)
tmp_row += 1
logging.debug("The auxiliar matrix will be: ")
Tableau.print_tableau(matrix_aux)
return matrix_aux, bases
def pivotate(pivotal_row, cost_index, matrix_tableau, bases):
value = Fraction(matrix_tableau[pivotal_row][cost_index])
logging.debug("Dividing pivotal row from A[{}][:] by {}".format(
pivotal_row, value))
for n in range(len(matrix_tableau[pivotal_row, :])):
if matrix_tableau[pivotal_row][n] != 0:
matrix_tableau[pivotal_row][n] = Fraction(
matrix_tableau[pivotal_row][n]) / Fraction(value)
Tableau.print_tableau(matrix_tableau)
logging.debug("Pivotating matrix over value {} on A[{}][{}]".format(
value, pivotal_row, cost_index))
for row in range(len(matrix_tableau[:])):
if row != pivotal_row:
v = (Fraction(matrix_tableau[row, cost_index]) /
Fraction(matrix_tableau[pivotal_row, cost_index])) * -1
logging.debug("Adding {} on row {} of tableau".format(v, row))
for column in range(len(matrix_tableau[0, :])):
matrix_tableau[row][column] = Fraction(
matrix_tableau[row][column]) + Fraction(
(matrix_tableau[pivotal_row][column]) * v)
Simplex.define_bases(bases, pivotal_row, cost_index)
return matrix_tableau, bases
def construct(self):
for x in range(4):
self._freecells.append(FreeCell())
self._homecells.append(HomePile())
self._tableaux.append(Tableau())
for x in range(4):
self._tableaux.append(Tableau())
def e_hat(tab, star=0):
"""
The Young projection operator corresponding to the Young tableau
``tab`` (which is supposed to contain every integer from `1` to
its size precisely once, but may and may not be standard). This
is an idempotent in the rational group algebra.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import e_hat
sage: e_hat([[1,2,3]])
1/6*[1, 2, 3] + 1/6*[1, 3, 2] + 1/6*[2, 1, 3] + 1/6*[2, 3, 1] + 1/6*[3, 1, 2] + 1/6*[3, 2, 1]
sage: e_hat([[1],[2]])
1/2*[1, 2] - 1/2*[2, 1]
There are differing conventions for the order of the symmetrizers
and antisymmetrizers. This example illustrates our conventions::
sage: e_hat([[1,2],[3]])
1/3*[1, 2, 3] + 1/3*[2, 1, 3] - 1/3*[3, 1, 2] - 1/3*[3, 2, 1]
"""
t = Tableau(tab)
if star:
t = t.restrict(t.size() - star)
if t in ehat_cache:
res = ehat_cache[t]
else:
res = (1 / kappa(t.shape())) * e(t)
return res
def check_exist(self, formula, init_states):
tableau = Tableau(formula, self._atomic_str)
prod = tableau.product(self._model)
# return False
return prod.has_fair_path(tableau.initial_states & init_states,
tableau.fairness_constraints)
def epsilon_ik(itab, ktab, star=0):
"""
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import epsilon_ik
sage: epsilon_ik([[1,2],[3]], [[1,3],[2]])
1/4*[1, 3, 2] - 1/4*[2, 3, 1] + 1/4*[3, 1, 2] - 1/4*[3, 2, 1]
sage: epsilon_ik([[1,2],[3]], [[1,3],[2]], star=1)
Traceback (most recent call last):
...
ValueError: the two tableaux must be of the same shape
"""
it = Tableau(itab)
kt = Tableau(ktab)
if star:
it = it.restrict(it.size() - star)
kt = kt.restrict(kt.size() - star)
if it.shape() != kt.shape():
raise ValueError, "the two tableaux must be of the same shape"
mult = permutation_options['mult']
permutation_options['mult'] = 'l2r'
if kt == it:
res = epsilon(itab)
elif (it, kt) in epsilon_ik_cache:
res = epsilon_ik_cache[(it,kt)]
else:
epsilon_ik_cache[(it,kt)] = epsilon(it, star+1)*e_ik(it,kt,star)*epsilon(kt, star+1) * (1/kappa(it.shape()))
res = epsilon_ik_cache[(it,kt)]
permutation_options['mult'] = mult
return res
def e_hat(tab, star=0):
"""
The Young projection operator corresponding to the Young tableau
``tab`` (which is supposed to contain every integer from `1` to
its size precisely once, but may and may not be standard). This
is an idempotent in the rational group algebra.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import e_hat
sage: e_hat([[1,2,3]])
1/6*[1, 2, 3] + 1/6*[1, 3, 2] + 1/6*[2, 1, 3] + 1/6*[2, 3, 1] + 1/6*[3, 1, 2] + 1/6*[3, 2, 1]
sage: e_hat([[1],[2]])
1/2*[1, 2] - 1/2*[2, 1]
There are differing conventions for the order of the symmetrizers
and antisymmetrizers. This example illustrates our conventions::
sage: e_hat([[1,2],[3]])
1/3*[1, 2, 3] + 1/3*[2, 1, 3] - 1/3*[3, 1, 2] - 1/3*[3, 2, 1]
"""
t = Tableau(tab)
if star:
t = t.restrict(t.size()-star)
if t in ehat_cache:
res = ehat_cache[t]
else:
res = (1/kappa(t.shape()))*e(t)
return res
def e_ik(itab, ktab, star=0):
"""
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import e_ik
sage: e_ik([[1,2,3]], [[1,2,3]])
[1, 2, 3] + [1, 3, 2] + [2, 1, 3] + [2, 3, 1] + [3, 1, 2] + [3, 2, 1]
sage: e_ik([[1,2,3]], [[1,2,3]], star=1)
[1, 2] + [2, 1]
"""
it = Tableau(itab)
kt = Tableau(ktab)
if star:
it = it.restrict(it.size() - star)
kt = kt.restrict(kt.size() - star)
if it.shape() != kt.shape():
raise ValueError, "the two tableaux must be of the same shape"
mult = permutation_options['mult']
permutation_options['mult'] = 'l2r'
if kt == it:
res = e(it)
elif (it, kt) in e_ik_cache:
res = e_ik_cache[(it,kt)]
else:
pi = pi_ik(it,kt)
e_ik_cache[(it,kt)] = e(it)*pi
res = e_ik_cache[(it,kt)]
permutation_options['mult'] = mult
return res
def b(tableau, star=0):
r"""
The column projection operator corresponding to the Young tableau
``tableau`` (which is supposed to contain every integer from
`1` to its size precisely once, but may and may not be standard).
This is the signed sum (in the group algebra of the relevant
symmetric group over `\QQ`) of all the permutations which
preserve the column of ``tableau`` (where the signs are the usual
signs of the permutations). It is called `b_{\text{tableau}}` in
[EtRT]_, Section 4.2.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import b
sage: b([[1,2]])
[1, 2]
sage: b([[1],[2]])
[1, 2] - [2, 1]
sage: b([])
[]
sage: b([[1, 2, 4], [5, 3]])
[1, 2, 3, 4, 5] - [1, 3, 2, 4, 5] - [5, 2, 3, 4, 1] + [5, 3, 2, 4, 1]
With the `l2r` setting for multiplication, the unnormalized
Young symmetrizer ``e(tableau)`` should be the product
``b(tableau) * a(tableau)`` for every ``tableau``. Let us check
this on the standard tableaux of size 5::
sage: from sage.combinat.symmetric_group_algebra import a, b, e
sage: all( e(t) == b(t) * a(t) for t in StandardTableaux(5) )
True
"""
t = Tableau(tableau)
if star:
t = t.restrict(t.size()-star)
cs = t.column_stabilizer().list()
n = t.size()
# This all should be over ZZ, not over QQ, but symmetric group
# algebras don't seem to preserve coercion (the one over ZZ
# doesn't coerce into the one over QQ even for the same n),
# and the QQ version of this method is more important, so let
# me stay with QQ.
# TODO: Fix this.
sgalg = SymmetricGroupAlgebra(QQ, n)
one = QQ.one()
P = permutation.Permutation
# Ugly hack for the case of an empty tableau, due to the
# annoyance of Permutation(Tableau([]).row_stabilizer()[0])
# being [1] rather than [] (which seems to have its origins in
# permutation group code).
# TODO: Fix this.
if len(tableau) == 0:
return sgalg.one()
cd = dict((P(v), v.sign()*one) for v in cs)
return sgalg._from_dict(cd)
def __init__(self, strategy, visual=False, screen=None):
S = getattr(strategies, strategy)
strategy = S()
self.tableau = Tableau()
self.redeals = 2
self.strategy = strategy
self.visual = visual
self.screen = screen
def a(tableau, star=0):
r"""
The row projection operator corresponding to the Young tableau
``tableau`` (which is supposed to contain every integer from
`1` to its size precisely once, but may and may not be standard).
This is the sum (in the group algebra of the relevant symmetric
group over `\QQ`) of all the permutations which preserve
the rows of ``tableau``. It is called `a_{\text{tableau}}` in
[EtRT]_, Section 4.2.
REFERENCES:
.. [EtRT] Pavel Etingof, Oleg Golberg, Sebastian Hensel, Tiankai
Liu, Alex Schwendner, Dmitry Vaintrob, Elena Yudovina,
"Introduction to representation theory",
:arXiv:`0901.0827v5`.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import a
sage: a([[1,2]])
[1, 2] + [2, 1]
sage: a([[1],[2]])
[1, 2]
sage: a([])
[]
sage: a([[1, 5], [2, 3], [4]])
[1, 2, 3, 4, 5] + [1, 3, 2, 4, 5] + [5, 2, 3, 4, 1] + [5, 3, 2, 4, 1]
"""
t = Tableau(tableau)
if star:
t = t.restrict(t.size()-star)
rs = t.row_stabilizer().list()
n = t.size()
# This all should be over ZZ, not over QQ, but symmetric group
# algebras don't seem to preserve coercion (the one over ZZ
# doesn't coerce into the one over QQ even for the same n),
# and the QQ version of this method is more important, so let
# me stay with QQ.
# TODO: Fix this.
sgalg = SymmetricGroupAlgebra(QQ, n)
one = QQ.one()
P = permutation.Permutation
# Ugly hack for the case of an empty tableau, due to the
# annoyance of Permutation(Tableau([]).row_stabilizer()[0])
# being [1] rather than [] (which seems to have its origins in
# permutation group code).
# TODO: Fix this.
if len(tableau) == 0:
return sgalg.one()
rd = dict((P(h), one) for h in rs)
return sgalg._from_dict(rd)
def setUp(self):
# variables
pre_var = [(0, True), (0, False), (0, False), (0, True), (0, True)]
self.vars = [Variable(*v) for v in pre_var]
# row lines
pre_row = [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [1, 1, -1, 0, 0],
[2, -1, 0, -1, 0], [-1, 2, 0, 0, -1]]
self.rows = [RowLine(r) for r in pre_row]
# tableau
self.table = Tableau(self.vars, self.rows)
class Seed:
def __init__(self,largeur,hauteur,noeud = {"type" : "plaque"},minValue = 0,maxValue = 255, value = 0):
self.function = {"rand" : self.rand, "degrade" : self.degrade, "plaque" : self.plaque}
self.maxValue = maxValue
self.minValue = minValue
self.X = largeur
self.Y = hauteur
self.tab = Tableau(self.X,self.Y)
if "args" in noeud:
self.function[noeud["type"]](noeud["args"])
else :
self.function[noeud["type"]]()
def degrade(self,args = {"direction":"Y","evolution":"increase"}):
if args["direction"] == "Y":
c = self.Y
current = lambda x,y : y
else:
c = self.X
current = lambda x,y : x - self.ligne(y)
if args["evolution"] == "increase":
fun = lambda x,y : self.maxValue * current(x,y) // c
elif args["evolution"] == "decrease":
fun = lambda x,y : self.maxValue * (c - (1 + current(x,y))) // c
elif args["evolution"] == "center":
fun = lambda x,y : min(self.maxValue * current(x,y) // c,self.maxValue * (c - (1 + current(x,y))) //c) * 2
elif args["evolution"] == "border":
fun = lambda x,y : max(self.maxValue * current(x,y) // c,self.maxValue * (c - (1 + current(x,y))) //c) - ( self.maxValue // 2) * 2
for(x,y) in self.tab.iterC():
self.tab[x,y] = Case(x,y)
self.tab[x,y].value = fun(x,y)
def rand(self,args = {}):
for(x,y) in self.tab.iterC():
self.tab[x,y] = Case(x,y)
self.tab[x,y].value = randint(self.minValue,self.maxValue)
def plaque(self,args = {"nombre" : 5, "plaques" : 8}):
for x,y in self.tab.iterC():
self.tab[x,y] = Case(x,y)
self.tab[x,y].value = 0
liste = [ elt for elt in self.tab.iterB(1) ]
nombre = args["nombre"]
plaque = args["plaques"]
plaques = GenRegionPasse(self.tab,None,plaque,5)
plaques.finalisation()
liste_plaque = [ (elt.interieur,elt.frontiere) for elt in plaques.regions]
for i in range(nombre):
li,lf = liste_plaque[randrange(len(liste_plaque))]
liste_plaque.remove((li,lf))
for elt in [ (elt.u,elt.v) for elt in li if (elt.u,elt.v) in liste]:
#self.tab[elt].value = randint((self.minValue + self.maxValue) * 3 // 4 , self.maxValue )
self.tab[elt].value = int(((plaques.iteration - self.tab[elt].nb + 1) / plaques.iteration)* self.maxValue)
def define_initial_bases(tableau):
logging.debug(
'\n =================================== \n = DEFINING INITIAL BASES = \n ==================================='
)
# If B vector has all values greater than zero, because the entry format is always <=,
# the base will be the matrix formed by gap_vars.
is_b_positive = True
if any(n < 0
for n in tableau.matrix_tableau.T[len(tableau.matrix_tableau.T)
- 1]):
is_b_positive = False
bases = []
alternative_certificate = []
if is_b_positive:
logging.debug("B vector has only positive values")
count = 1
for x in range(
int((len(tableau.matrix_tableau.T) - 1) / 3) + int(
(len(tableau.matrix_tableau.T) - 1) / 3),
len(tableau.matrix_tableau.T) - 1):
t = (count, x)
bases.append(t)
count += 1
logging.debug("Initial bases: {}".format(bases))
else:
logging.debug("B vector has at least one negative value")
logging.debug(
"Corverting b entry to positive by multiplying row by -1")
while any(n < 0
for n in Simplex.get_tableau_b_vector_whithout_optm(
tableau.matrix_tableau)):
for entry_index, b_entry in enumerate(
Simplex.get_tableau_b_vector_whithout_optm(
tableau.matrix_tableau)):
if b_entry < 0:
tableau.matrix_tableau[entry_index, :] *= -1
Tableau.print_tableau(tableau.matrix_tableau)
matrix_aux, bases = Simplex.prepare_auxiliar_matrix(tableau, bases)
alternative_certificate = Simplex.run_auxiliar_matrix_operations(
matrix_aux, bases, tableau.restrictions)
return bases, alternative_certificate
def run_auxiliar_matrix_operations(matrix_aux, bases, restrictions):
logging.debug("Running auxiliar matrix operations")
max_iterations = len(bases) - 1
for i, base in enumerate(bases):
Simplex.pivotate(base[0], base[1], matrix_aux, bases)
if i >= max_iterations:
break
logging.debug("All operations over auxiliar are done!")
Tableau.print_tableau(matrix_aux)
return Simplex.get_certificate(matrix_aux)
def get_exists_nodes(self, formula):
tableau = Tableau(formula, self._atomic_str)
prod = tableau.product(self._model)
print('#relations', prod.count_relations())
print(
'#reachable states',
prod.count_reachable_states(tableau.initial_states
& self._model.atomic))
states = prod.find_fair_nodes(tableau.initial_states,
tableau.fairness_constraints)
states = bdd_utils.only_consider_prims(states, self._model.msb)
bdd_utils.print_debug_bdd('states', states)
return states
def creation_tableau_joueur(dimension: int, nom_joueur: str):
""" Fonction servant a creer un objet Tableau et un objet Joueur et attribuer a Joueur le tableau
PRE:
- dimension = int
- nom_joueur = str
POST :
- création objet plateau_joueur de classe Tableau(dimension)
- creation d'un tableau dans l'objet plateau_joueur
- creation d'un objet Joueur possedant un nom et un objet Tableau
- retourne l'objet de classe Joueur
"""
plateau_joueur = Tableau(dimension)
plateau_joueur.creation_tableau()
return Joueur(nom_joueur, plateau_joueur)
def epsilon(tab, star=0):
"""
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import epsilon
sage: epsilon([[1,2]])
1/2*[1, 2] + 1/2*[2, 1]
sage: epsilon([[1],[2]])
1/2*[1, 2] - 1/2*[2, 1]
"""
t = Tableau(tab)
if star:
t = t.restrict(t.size() - star)
mult = permutation_options['mult']
permutation_options['mult'] = 'l2r'
if t in epsilon_cache:
res = epsilon_cache[t]
else:
if t.size() == 2:
epsilon_cache[t] = e(t)*(1/kappa(t.shape()))
res = epsilon_cache[t]
elif t == Tableau([[1]]):
epsilon_cache[t] = e(t)
res = epsilon_cache[t]
else:
epsilon_cache[t] = epsilon(t, 1)*e(t)*epsilon(t,1)*( 1 / kappa(t.shape()))
res = epsilon_cache[t]
permutation_options['mult'] = mult
return res
def run_game():
# Create deck, hand, tableau.
deck = Deck()
hand = Hand(deck)
tableau = Tableau(tableau_limit)
trade = Trade()
game_end = False
# Main game loop.
while game_end is False:
# Choose action.
# phase = gf.choose_action()
# Play phases.
for phase in range(0, 5):
gf.play_phase(phase, deck, hand, tableau, trade)
# Check hand limit
hand.hand_limit(deck)
# Check for game end.
game_end = gf.end_check(tableau, scoreboard)
return scoreboard.get_vp_total(tableau)
def __init__(self, strategy, visual=False, screen=None):
S = getattr(strategies, strategy)
strategy = S()
self.tableau = Tableau()
self.redeals = 2
self.strategy = strategy
self.visual = visual
self.screen = screen
def collipicanimal(LISTE, o, listetab, screen, bloc):
if bloc.type == 6 or bloc.type == 7 or bloc.type == 3 or bloc.type == 9:
o.score-=75
LISTE.update()
Tableau.initPerso(listetab[numtab], o, screen)
screen.blit(listetab[numtab].background , (0,0))
LISTE.draw(screen)
screen.blit(o.image, o.pos)
piece = pygame.image.load('image/piece.png')
piece = pygame.transform.scale(piece, (20, 20))
smallText = pygame.font.Font("freesansbold.ttf",15)
nbpiece = smallText.render((" x " + str(o.compteurpiece)),1,(210, 210, 210))
screen.blit(piece,(0,5))
screen.blit(nbpiece,(20,10))
scA = smallText.render(("Score:"+str(o.score)),1,(210, 210, 210))
screen.blit(scA,(870,35))
screen.blit(timer(horloge,o),(870,10))
class Game(object):
def __init__(self, strategy, visual=False, screen=None):
S = getattr(strategies, strategy)
strategy = S()
self.tableau = Tableau()
self.redeals = 2
self.strategy = strategy
self.visual = visual
self.screen = screen
def play(self):
while True:
while self.tableau.has_moves():
if self.visual and self.screen:
self.screen.addstr(1,0,self.tableau.dump().encode("utf_8"))
self.screen.refresh()
self.strategy.apply_strategy(self.tableau)
if self.visual and self.screen:
self.screen.getch()
if not self.tableau.is_complete() and self.redeals > 0:
self.tableau.redeal()
self.redeals -= 1
else:
break
def in_progress(self):
return self.tableau.has_moves()
def game_won(self):
return self.tableau.is_complete()
class Game(object):
def __init__(self, strategy, visual=False, screen=None):
S = getattr(strategies, strategy)
strategy = S()
self.tableau = Tableau()
self.redeals = 2
self.strategy = strategy
self.visual = visual
self.screen = screen
def play(self):
while True:
while self.tableau.has_moves():
if self.visual and self.screen:
self.screen.addstr(1, 0,
self.tableau.dump().encode("utf_8"))
self.screen.refresh()
self.strategy.apply_strategy(self.tableau)
if self.visual and self.screen:
self.screen.getch()
if not self.tableau.is_complete() and self.redeals > 0:
self.tableau.redeal()
self.redeals -= 1
else:
break
def in_progress(self):
return self.tableau.has_moves()
def game_won(self):
return self.tableau.is_complete()
def pi_ik(itab, ktab):
"""
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import pi_ik
sage: pi_ik([[1,3],[2]], [[1,2],[3]])
[1, 3, 2]
"""
it = Tableau(itab)
kt = Tableau(ktab)
p = [None]*kt.size()
for i in range(len(kt)):
for j in range(len(kt[i])):
p[ it[i][j] -1 ] = kt[i][j]
QSn = SymmetricGroupAlgebra(QQ, it.size())
p = permutation.Permutation(p)
return QSn(p)
def _build_tableau(self):
ncons = self.lp.A_fpi.shape[0]
opmat = np.vstack((np.zeros((1, ncons)), np.identity(ncons)))
opmat = np.asmatrix(opmat, np.float64)
lpmat = np.vstack((np.hstack((self.lp.c_fpi.T * (-1), [[0.0]])),
np.hstack((self.lp.A_fpi, self.lp.b_fpi))))
tableau = np.asmatrix(np.hstack((opmat, lpmat)))
return Tableau(tableau)
def setUp(self):
# variables
pre_var = [(0, True), (0, False), (0, False), (0, True), (0, True)]
self.vars = [Variable(*v) for v in pre_var]
# row lines
pre_row = [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [1, 1, -1, 0, 0],
[2, -1, 0, -1, 0], [-1, 2, 0, 0, -1]]
self.rows = [RowLine(r) for r in pre_row]
# tableau
self.table = Tableau(self.vars, self.rows)
def epsilon_ik(self, itab, ktab, star=0):
"""
Returns the seminormal basis element of self corresponding to the
pair of tableaux itab and ktab.
EXAMPLES::
sage: QS3 = SymmetricGroupAlgebra(QQ, 3)
sage: a = QS3.epsilon_ik([[1,2,3]], [[1,2,3]]); a
1/6*[1, 2, 3] + 1/6*[1, 3, 2] + 1/6*[2, 1, 3] + 1/6*[2, 3, 1] + 1/6*[3, 1, 2] + 1/6*[3, 2, 1]
sage: QS3.dft()*vector(a)
(1, 0, 0, 0, 0, 0)
sage: a = QS3.epsilon_ik([[1,2],[3]], [[1,2],[3]]); a
1/3*[1, 2, 3] - 1/6*[1, 3, 2] + 1/3*[2, 1, 3] - 1/6*[2, 3, 1] - 1/6*[3, 1, 2] - 1/6*[3, 2, 1]
sage: QS3.dft()*vector(a)
(0, 0, 0, 0, 1, 0)
"""
it = Tableau(itab)
kt = Tableau(ktab)
stn = StandardTableaux_n(self.n)
if it not in stn:
raise TypeError, "it must be a standard tableaux of size %s"%self.n
if kt not in stn:
raise TypeError, "kt must be a standard tableaux of size %s"%self.n
if it.shape() != kt.shape():
raise ValueError, "it and kt must be of the same shape"
BR = self.base_ring()
z_elts = {}
epik = epsilon_ik(it, kt, star=star)
for m,c in epik._monomial_coefficients.iteritems():
z_elts[m] = BR(c)
z = self._from_dict(z_elts)
if permutation.PermutationOptions()['mult'] == 'l2r':
return z
else:
return z.map_support(lambda x: x.inverse())
def print_full_typology(rankings):
"""Print the full set of results: ranking, winner, and winner type."""
for ranking in rankings:
constraint_ranking = ConstraintSet(ranking)
print("----------------------------------")
print(constraint_ranking)
print("----------------------------------")
for inputs in gen.inputs():
tableau = Tableau(inputs, constraint_ranking,
gen.candidates(inputs))
print(inputs, tableau.winners, tableau.typology)
def __init__(self, largeur, hauteur, modele): # X,Y,Liste_Coeff
self.X = largeur
self.Y = hauteur
self.MAXVALUE = 256
self.tab = Tableau(self.X, self.Y)
self.modele = Modele("patron.xml")
self.seed = [(key, Seed(self.X, self.Y, elt["seed"])) for key, elt in self.modele.racine["couche"].items()]
for x, y in self.tab.iterC():
self.tab[x, y] = Case(x, y)
for key, s in self.seed:
self.tab[x, y].biome.set(key, s.tab[x, y].value)
def __init__(self,largeur,hauteur,noeud = {"type" : "plaque"},minValue = 0,maxValue = 255, value = 0):
self.function = {"rand" : self.rand, "degrade" : self.degrade, "plaque" : self.plaque}
self.maxValue = maxValue
self.minValue = minValue
self.X = largeur
self.Y = hauteur
self.tab = Tableau(self.X,self.Y)
if "args" in noeud:
self.function[noeud["type"]](noeud["args"])
else :
self.function[noeud["type"]]()
def main():
logging.debug(
'\n ======================== \n = Reading Data = \n ========================'
)
vars_and_restrictions = input()
vars_and_restrictions = vars_and_restrictions.split()
r = int(vars_and_restrictions[0])
v = int(vars_and_restrictions[1])
logging.debug("Number of restrictions: {}".format(r))
logging.debug("Number of variables: {}".format(v))
c_input = input()
c_list = list(c_input.split())
c = []
for i in range(len(c_list)):
c.append(float(c_list[i]))
logging.debug("Costs vector: {}".format(c))
a = []
b = []
for i in range(r):
line = input().split()
a_row = []
for j in range(len(line)):
if j < v:
a_row.append(float(line[j]))
else:
b.append(float(line[j]))
a.append(a_row)
logging.debug("Matrix A[]: {}".format(a))
logging.debug("Vector B[]: {}".format(b))
tableau = Tableau(r, v, c, a, b)
Tableau.print_tableau(tableau.matrix_tableau)
Simplex.do_simplex(tableau)
class Test(unittest.TestCase):
def setUp(self):
# variables
pre_var = [(0, True), (0, False), (0, False), (0, True), (0, True)]
self.vars = [Variable(*v) for v in pre_var]
# row lines
pre_row = [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [1, 1, -1, 0, 0],
[2, -1, 0, -1, 0], [-1, 2, 0, 0, -1]]
self.rows = [RowLine(r) for r in pre_row]
# tableau
self.table = Tableau(self.vars, self.rows)
def tearDown(self):
pass
# tests about operators to help Gaussian elimination
def test_row_subtraction(self):
t_sub = self.rows[3] - self.rows[2]
self.assertListEqual(t_sub.coef, [1, -2, 1, -1, 0])
def test_row_multiplication(self):
t_mul = self.rows[4] * 3
self.assertListEqual(t_mul.coef, [-3, 6, 0, 0, -3])
def test_row_division(self):
t_div = self.rows[2] / 5
self.assertListEqual(t_div.coef, [0.2, 0.2, -0.2, 0, 0])
def test_getitem(self):
# originally, this operation should be written self.rows[2].coef[0]
# RowLine has __getitem__ method, so this abbreviation is able
self.assertEqual(self.rows[2][0], 1)
# main test
def test_gaussian_elimination(self):
self.table.gaussian_elimination(2, 0)
coef = [r.coef for r in self.table.rows]
self.assertListEqual(coef, [[-1, -1, 1, 0, 0], [0, 0, 0, 0, 0],
[1, 1, -1, 0, 0], [0, -3, 2, -1, 0],
[0, 3, -1, 0, -1]])
def b(tableau, star=0):
r"""
The column projection operator corresponding to the Young tableau
``tableau`` (which is supposed to contain every integer from
`1` to its size precisely once, but may and may not be standard).
This is the signed sum (in the group algebra of the relevant
symmetric group over `\QQ`) of all the permutations which
preserve the column of ``tableau`` (where the signs are the usual
signs of the permutations). It is called `b_{\text{tableau}}` in
[EtRT]_, Section 4.2.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import b
sage: b([[1,2]])
[1, 2]
sage: b([[1],[2]])
[1, 2] - [2, 1]
sage: b([])
[]
sage: b([[1, 2, 4], [5, 3]])
[1, 2, 3, 4, 5] - [1, 3, 2, 4, 5] - [5, 2, 3, 4, 1] + [5, 3, 2, 4, 1]
With the `l2r` setting for multiplication, the unnormalized
Young symmetrizer ``e(tableau)`` should be the product
``b(tableau) * a(tableau)`` for every ``tableau``. Let us check
this on the standard tableaux of size 5::
sage: from sage.combinat.symmetric_group_algebra import a, b, e
sage: all( e(t) == b(t) * a(t) for t in StandardTableaux(5) )
True
"""
t = Tableau(tableau)
if star:
t = t.restrict(t.size() - star)
cs = t.column_stabilizer().list()
n = t.size()
# This all should be over ZZ, not over QQ, but symmetric group
# algebras don't seem to preserve coercion (the one over ZZ
# doesn't coerce into the one over QQ even for the same n),
# and the QQ version of this method is more important, so let
# me stay with QQ.
# TODO: Fix this.
sgalg = SymmetricGroupAlgebra(QQ, n)
one = QQ.one()
P = permutation.Permutation
# Ugly hack for the case of an empty tableau, due to the
# annoyance of Permutation(Tableau([]).row_stabilizer()[0])
# being [1] rather than [] (which seems to have its origins in
# permutation group code).
# TODO: Fix this.
if len(tableau) == 0:
return sgalg.one()
cd = dict((P(v), v.sign() * one) for v in cs)
return sgalg._from_dict(cd)
class Test(unittest.TestCase):
def setUp(self):
# variables
pre_var = [(0, True), (0, False), (0, False), (0, True), (0, True)]
self.vars = [Variable(*v) for v in pre_var]
# row lines
pre_row = [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [1, 1, -1, 0, 0],
[2, -1, 0, -1, 0], [-1, 2, 0, 0, -1]]
self.rows = [RowLine(r) for r in pre_row]
# tableau
self.table = Tableau(self.vars, self.rows)
def tearDown(self):
pass
# tests about operators to help Gaussian elimination
def test_row_subtraction(self):
t_sub = self.rows[3] - self.rows[2]
self.assertListEqual(t_sub.coef, [1, -2, 1, -1, 0])
def test_row_multiplication(self):
t_mul = self.rows[4] * 3
self.assertListEqual(t_mul.coef, [-3, 6, 0, 0, -3])
def test_row_division(self):
t_div = self.rows[2] / 5
self.assertListEqual(t_div.coef, [0.2, 0.2, -0.2, 0, 0])
def test_getitem(self):
# originally, this operation should be written self.rows[2].coef[0]
# RowLine has __getitem__ method, so this abbreviation is able
self.assertEqual(self.rows[2][0], 1)
# main test
def test_gaussian_elimination(self):
self.table.gaussian_elimination(2, 0)
coef = [r.coef for r in self.table.rows]
self.assertListEqual(
coef, [[-1, -1, 1, 0, 0], [0, 0, 0, 0, 0], [1, 1, -1, 0, 0],
[0, -3, 2, -1, 0], [0, 3, -1, 0, -1]])
def a(tableau, star=0):
r"""
The row projection operator corresponding to the Young tableau
``tableau`` (which is supposed to contain every integer from
`1` to its size precisely once, but may and may not be standard).
This is the sum (in the group algebra of the relevant symmetric
group over `\QQ`) of all the permutations which preserve
the rows of ``tableau``. It is called `a_{\text{tableau}}` in
[EtRT]_, Section 4.2.
REFERENCES:
.. [EtRT] Pavel Etingof, Oleg Golberg, Sebastian Hensel, Tiankai
Liu, Alex Schwendner, Dmitry Vaintrob, Elena Yudovina,
"Introduction to representation theory",
:arXiv:`0901.0827v5`.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import a
sage: a([[1,2]])
[1, 2] + [2, 1]
sage: a([[1],[2]])
[1, 2]
sage: a([])
[]
sage: a([[1, 5], [2, 3], [4]])
[1, 2, 3, 4, 5] + [1, 3, 2, 4, 5] + [5, 2, 3, 4, 1] + [5, 3, 2, 4, 1]
"""
t = Tableau(tableau)
if star:
t = t.restrict(t.size() - star)
rs = t.row_stabilizer().list()
n = t.size()
# This all should be over ZZ, not over QQ, but symmetric group
# algebras don't seem to preserve coercion (the one over ZZ
# doesn't coerce into the one over QQ even for the same n),
# and the QQ version of this method is more important, so let
# me stay with QQ.
# TODO: Fix this.
sgalg = SymmetricGroupAlgebra(QQ, n)
one = QQ.one()
P = permutation.Permutation
# Ugly hack for the case of an empty tableau, due to the
# annoyance of Permutation(Tableau([]).row_stabilizer()[0])
# being [1] rather than [] (which seems to have its origins in
# permutation group code).
# TODO: Fix this.
if len(tableau) == 0:
return sgalg.one()
rd = dict((P(h), one) for h in rs)
return sgalg._from_dict(rd)
def solve(self, verbose = False):
if verbose:
print("The input linear program is:\n")
print("Maximize %s" % vect_vars(self.c))
print("Such that:")
for k, row in enumerate(self.A):
print("\t%s <= %s" % (vect_vars(row), str(self.b[k])))
print("\t" + ", ".join(["x%i" % (i + 1) for i in range(self.n)]) + " are non-negative\n")
T = self.T = Tableau(self.c, self.A, self.b, self.pivot)
phase_one_objective = T.initialize_basis()
# PHASE 1
if T.nb_additional_vars > 0:
if verbose:
print("=== PHASE 1 ===")
print("Added %i new positive variables." % T.nb_additional_vars)
print("Now trying to maximize: %s" % vect_vars(phase_one_objective))
T.set_objective_vector(phase_one_objective)
T.phase(verbose)
if T.opt != 0:
print("This linear program is INFEASIBLE.")
self.log()
return
else:
T.remove_additional_vars()
if verbose:
print("Found a basic feasible solution.: %s" % T.get_solution())
print("Removed additional variables from the tableau.\n")
print("=== PHASE 2 ===")
# PHASE 2
T.set_objective_vector(self.c)
R = T.phase(verbose)
if R == FeasibleResult.BOUNDED:
print("This linear problem is FEASIBLE and BOUNDED.")
print("One optimal solution is: %s" % T.get_solution())
print("The value of the objective for this solution is: %s" % str(-T.opt))
else:
print("This linear problem is FEASIBLE but UNBOUNDED.")
self.log()
def e(tableau, star=0):
"""
The unnormalized Young projection operator.
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import e
sage: e([[1,2]])
[1, 2] + [2, 1]
sage: e([[1],[2]])
[1, 2] - [2, 1]
There are differing conventions for the order of the symmetrizers
and antisymmetrizers. This example illustrates our conventions::
sage: e([[1,2],[3]])
[1, 2, 3] + [2, 1, 3] - [3, 1, 2] - [3, 2, 1]
"""
t = Tableau(tableau)
if star:
t = t.restrict(t.size()-star)
mult = permutation_options['mult']
permutation_options['mult'] = 'l2r'
if t in e_cache:
res = e_cache[t]
else:
rs = t.row_stabilizer().list()
cs = t.column_stabilizer().list()
n = t.size()
QSn = SymmetricGroupAlgebra(QQ, n)
one = QQ(1)
P = permutation.Permutation
rd = dict((P(h), one) for h in rs)
sym = QSn._from_dict(rd)
cd = dict((P(v), v.sign()*one) for v in cs)
antisym = QSn._from_dict(cd)
res = antisym*sym
e_cache[t] = res
permutation_options['mult'] = mult
return res
def _build_aux_tableau(self):
num_cons = self._tableau.A.shape[0]
aux_c = np.zeros_like(self._tableau.ct)
aux_c = np.asmatrix(
np.hstack((np.zeros((1, num_cons)), aux_c, np.ones(
(1, num_cons)))), np.float64)
b_neglines = np.where(float_comp(self._tableau.b, 0.0, less=True))[0]
opmat = np.asmatrix(np.identity(num_cons), np.float64)
aux_opA = np.hstack((opmat, self._tableau.A))
aux_opA[b_neglines, :] = aux_opA[b_neglines, :] * (-1)
aux_opA = np.hstack((aux_opA, np.identity(aux_opA.shape[0])))
aux_b = np.copy(self._tableau.b)
aux_b[b_neglines, :] = aux_b[b_neglines, :] * (-1)
aux_tab_mat = np.vstack((np.hstack(
(aux_c, [[0.0]])), np.hstack((aux_opA, aux_b))))
aux_tab = Tableau(aux_tab_mat)
return aux_tab
def test1():
print 'Test 1'
r1 = [2, 1, -2, '<', 8]
r2 = [4, -1, 2, '>', 2]
r3 = [2, 3, -1, '>', 4]
r = list()
r.append(r1)
r.append(r2)
r.append(r3)
f = [-2, 1, -1]
tableau = Tableau(f, r)
simplex = Simplex(tableau)
simplex.execute()
print 'Solution: ' + str(simplex.solution)
def input1():
print ''
r1 = [1, 1, '>=', 2]
r2 = [1, 2, '>=', 5]
# r3 = [5,3,'<=',15]
r = list()
r.append(r1)
r.append(r2)
# r.append(r3)
f = [-1, -1]
tableau = Tableau(f, r)
simplex = Simplex(tableau)
simplex.execute()
print 'Solution: ' + str(simplex.solution)
print simplex.tableau
curses.endwin()
# convert the input to simplex tableau
print exit_mes
print buf
# do simplex method
if input_ok:
# split buffers to formulas
formulas = [b.split() for b in buf] # formulas[var_num] is ineq
# make variables
var_list = []
for vi in range(var_num):
var_list.append(Variable(0, False))
for fe in formulas:
var_list.append(Variable(0, True, float(fe[var_num + 1]),
fe[var_num])) # ineq type
# make coefficient tableau
row_list = []
for ri in range(var_num):
row_list.append(RowLine([0] * (var_num + for_num)))
for i, fe in enumerate(formulas):
tmp_f = [float(e) for e in fe[:var_num]]
tmp_zeros = [0] * for_num
tmp_zeros[i] = -1
row_list.append(RowLine(tmp_f + tmp_zeros))
# simplex tableau
table = Tableau(var_list, row_list)
# do simplex method
table.simplex_method()
def e(tableau, star=0):
"""
The unnormalized Young projection operator corresponding to
the Young tableau ``tableau`` (which is supposed to contain
every integer from `1` to its size precisely once, but may
and may not be standard).
EXAMPLES::
sage: from sage.combinat.symmetric_group_algebra import e
sage: e([[1,2]])
[1, 2] + [2, 1]
sage: e([[1],[2]])
[1, 2] - [2, 1]
sage: e([])
[]
There are differing conventions for the order of the symmetrizers
and antisymmetrizers. This example illustrates our conventions::
sage: e([[1,2],[3]])
[1, 2, 3] + [2, 1, 3] - [3, 1, 2] - [3, 2, 1]
"""
t = Tableau(tableau)
if star:
t = t.restrict(t.size()-star)
mult = permutation_options['mult']
permutation_options['mult'] = 'l2r'
if t in e_cache:
res = e_cache[t]
else:
rs = t.row_stabilizer().list()
cs = t.column_stabilizer().list()
n = t.size()
QSn = SymmetricGroupAlgebra(QQ, n)
one = QQ.one()
P = permutation.Permutation
rd = dict((P(h), one) for h in rs)
sym = QSn._from_dict(rd)
cd = dict((P(v), v.sign()*one) for v in cs)
antisym = QSn._from_dict(cd)
res = antisym*sym
# Ugly hack for the case of an empty tableau, due to the
# annoyance of Permutation(Tableau([]).row_stabilizer()[0])
# being [1] rather than [] (which seems to have its origins in
# permutation group code).
# TODO: Fix this.
if len(tableau) == 0:
res = QSn.one()
e_cache[t] = res
permutation_options['mult'] = mult
return res
class MapGen:
def __init__(self, largeur, hauteur, modele): # X,Y,Liste_Coeff
self.X = largeur
self.Y = hauteur
self.MAXVALUE = 256
self.tab = Tableau(self.X, self.Y)
self.modele = Modele("patron.xml")
self.seed = [(key, Seed(self.X, self.Y, elt["seed"])) for key, elt in self.modele.racine["couche"].items()]
for x, y in self.tab.iterC():
self.tab[x, y] = Case(x, y)
for key, s in self.seed:
self.tab[x, y].biome.set(key, s.tab[x, y].value)
def cycle(self, duree):
for i in range(duree):
self.Division()
self.Egalisation()
self.Finalisation()
def Division(self, mod=2):
aux = Tableau(self.tab.X * 2, self.tab.Y * 2)
for y in range(self.Y):
init = self.tab.ligne(y)
offset = 0
if init * 2 > y:
offset = 1
for x in range(init, self.X + init):
for y2 in range(mod):
init2 = self.tab.ligne(y2)
for x2 in range(init2, mod + init2):
aux[(x) * mod + x2 - offset, y * mod + y2] = Case((x) * mod + x2 - offset, y * mod + y2)
aux[(x) * mod + x2 - offset, y * mod + y2].biome.copy(self.tab[x, y].biome)
self.tab = aux
self.Y *= 2
self.X *= 2
def Egalisation(self):
self.aux = Tableau(self.tab.X, self.tab.Y)
self.tab.iter(self._egalisation)
self.tab = self.aux
def _egalisation(self, x, y):
biome = self.Moyenne(x, y)
self.aux[x, y] = Case(x, y)
self.aux[x, y].biome = biome
def Moyenne(self, x, y):
aux = []
biome = Biome()
compteur = 0
for elt in self.modele.hierarchie:
biome.set(elt, 0)
for elt in self.tab[x, y].Voisins():
if elt in self.tab:
for elt1 in self.modele.hierarchie:
biome.add(elt1, self.tab[elt].biome.dict[elt1])
aux.append(elt)
compteur = compteur + 1
x1, y1 = aux[randrange(len(aux))]
for elt in biome.dict.keys():
div = 0
biome.div(elt, compteur)
biome.mult(elt, self.modele.argsRand[elt]["moyenne"])
div += self.modele.argsRand[elt]["moyenne"]
biome.add(elt, self.tab[x, y].biome.dict[elt] * self.modele.argsRand[elt]["centre"])
div += self.modele.argsRand[elt]["centre"]
biome.add(elt, self.tab[x1, y1].biome.dict[elt] * self.modele.argsRand[elt]["rand"])
div += self.modele.argsRand[elt]["rand"]
biome.div(elt, div)
return biome
def Finalisation(self):
aux = {}
self.niveaux = {}
for i in range(self.MAXVALUE):
for elt in self.modele.hierarchie:
aux[elt, i] = 0
for case in self.tab.values():
for elt in self.modele.hierarchie:
aux[elt, case.biome.dict[elt]] += 1
for elt in self.modele.hierarchie:
self.niveaux[elt] = []
i = 0
buffer_ = 1
for valeur in self.modele.pourcents[elt]:
valeur = float(valeur)
while i < self.MAXVALUE and buffer_ * 100 / (self.X * self.Y) <= valeur:
buffer_ += aux[elt, i]
i += 1
self.niveaux[elt].append(i)
for case in self.tab.values():
for elt in self.modele.hierarchie:
i = 0
while i < len(self.niveaux[elt]) and case.biome.dict[elt] > self.niveaux[elt][i]:
i += 1
case.biome.dict[elt] = i
self.modele.determine(case.biome)
def getSurface(self):
w = sf.RenderTexture(hexagone.l * self.X + hexagone.l // 2, (hexagone.L * 1.5) * (self.Y // 2 + 1))
w.clear()
return w
def getTexture(self, w):
for elt in self.tab.values():
w.draw(elt.sprite())
w.display()
return w
def save(self, name):
w = self.getTexture()
image = w.texture.to_image()
image.to_file(name)
