def make_map_latex(map_str):
# FIXME: Get rid of nu when map is defined over QQ
if "nu" not in map_str:
R0 = QQ
else:
R0 = PolynomialRing(QQ,'nu')
R = PolynomialRing(R0,2,'x,y')
F = FractionField(R)
phi = F(map_str)
num = phi.numerator()
den = phi.denominator()
c_num = num.denominator()
c_den = den.denominator()
lc = c_den/c_num
# rescale coeffs to make them integral. then try to factor out gcds
# numerator
num_new = c_num*num
num_cs = num_new.coefficients()
if R0 == QQ:
num_cs_ZZ = num_cs
else:
num_cs_ZZ = []
for el in num_cs:
num_cs_ZZ = num_cs_ZZ + el.coefficients()
num_gcd = gcd(num_cs_ZZ)
# denominator
den_new = c_den*den
den_cs = den_new.coefficients()
if R0 == QQ:
den_cs_ZZ = den_cs
else:
den_cs_ZZ = []
for el in den_cs:
den_cs_ZZ = den_cs_ZZ + el.coefficients()
den_gcd = gcd(den_cs_ZZ)
lc = lc*(num_gcd/den_gcd)
num_new = num_new/num_gcd
den_new = den_new/den_gcd
# make strings for lc, num, and den
num_str = latex(num_new)
den_str = latex(den_new)
if lc==1:
lc_str=""
else:
lc_str = latex(lc)
if den_new==1:
if lc ==1:
phi_str = num_str
else:
phi_str = lc_str+"("+num_str+")"
else:
phi_str = lc_str+"\\frac{"+num_str+"}"+"{"+den_str+"}"
return phi_str
def xi(self,A):
r""" The eight-root of unity in front of the Weil representation.
INPUT:
-''N'' -- integer
-''A'' -- element of PSL(2,Z)
EXAMPLES::
sage: A=SL2Z([41,77,33,62])
sage: WR.xi(A)
-zeta8^3]
sage: S,T=SL2Z.gens()
sage: WR.xi(S)
-zeta8^3
sage: WR.xi(T)
1
sage: A=SL2Z([-1,1,-4,3])
sage: WR.xi(A)
-zeta8^2
sage: A=SL2Z([0,1,-1,0])
sage: WR.xi(A)
-zeta8
"""
a=Integer(A[0,0]); b=Integer(A[0,1])
c=Integer(A[1,0]); d=Integer(A[1,1])
if(c==0):
return 1
z=CyclotomicField(8).gen()
N=self._N
N2=odd_part(N)
Neven=ZZ(2*N).divide_knowing_divisible_by(N2)
c2=odd_part(c)
Nc=gcd(Integer(2*N),Integer(c))
cNc=ZZ(c).divide_knowing_divisible_by(Nc)
f1=kronecker(-a,cNc)
f2=kronecker(cNc,ZZ(2*N).divide_knowing_divisible_by(Nc))
if(is_odd(c)):
s=c*N2
elif( c % Neven == 0):
s=(c2+1-N2)*(a+1)
else:
s=(c2+1-N2)*(a+1)-N2*a*c2
r=-1-QQ(N2)/QQ(gcd(c,N2))+s
xi=f1*f2*z**r
return xi
def print_as_polynomial_in_E4_and_E6(self):
r"""
"""
if(self.level() != 1):
return ""
try:
[poldeg, monomials, X] = self.as_polynomial_in_E4_and_E6()
except ValueError:
return ""
s = ""
e4 = "E_{4}"
e6 = "E_{6}"
dens = map(denominator, X)
g = gcd(dens)
s = "\\frac{1}{" + str(g) + "}\left("
for n in range(len(X)):
c = X[n] * g
if(c == -1):
s = s + "-"
elif(c != 1):
s = s + str(c)
if(n > 0 and c > 0):
s = s + "+"
d4 = monomials[n][0]
d6 = monomials[n][1]
if(d6 > 0):
s = s + e6 + "^{" + str(d6) + "}"
if(d4 > 0):
s = s + e4 + "^{" + str(d4) + "}"
s = s + "\\right)"
return "\(" + s + "\)"
def galois_orbit(cusp,G):
N=G.level()
orbit=set([])
for i in xrange(1,N):
if gcd(i,N)==1:
orbit.add(G.reduce_cusp(galois_action(cusp,i,N)))
return tuple(sorted(orbit))
def x5__with_prec(prec):
'''
Returns formal q-expansion f s.t. f * q1^(-1/2)*t^(1/2)*q2^(-1/2)
equals to x5 (x10 == x5^2).
'''
if prec not in ZZ:
prec = prec._max_value()
pwsr_prec = (2 * prec - 1) ** 2
def jacobi_g(n, r):
return x5_jacobi_g(n, r, pwsr_prec)
prec = PrecisionDeg2(prec)
fc_dct = {}
for n, r, m in prec:
if 4 * n * m - r ** 2 == 0:
fc_dct[(n, r, m)] = 0
else:
n1 = 2 * n - 1
r1 = 2 * r + 1
m1 = 2 * m - 1
if 4 * n1 * m1 - r1 ** 2 > 0:
fc_dct[(n, r, m)] = sum([d ** 4 * jacobi_g(n1 * m1 // (d ** 2),
r1 // d)
for d in
gcd([n1, r1, m1]).divisors()])
res = QexpLevel1(fc_dct, prec)
return ModFormQsrTimesQminushalf(res, 5)
def __init__(self, modulus=1, number=1, update_from_db=True, compute=False):
r"""
Init self.
"""
emf_logger.critical("In WebChar {0}".format((modulus, number, update_from_db, compute)))
if not gcd(number, modulus) == 1:
raise ValueError, "Character number {0} of modulus {1} does not exist!".format(number, modulus)
if number > modulus:
number = number % modulus
self._properties = WebProperties(
WebInt("conductor"),
WebInt("modulus", value=modulus),
WebInt("number", value=number),
WebInt("modulus_euler_phi"),
WebInt("order"),
WebStr("latex_name"),
WebStr("label", value="{0}.{1}".format(modulus, number)),
WebNoStoreObject("sage_character", type(trivial_character(1))),
WebDict("_values_algebraic"),
WebDict("_values_float"),
WebDict("_embeddings"),
WebFloat("version", value=float(emf_version)),
)
emf_logger.debug("Set properties in WebChar!")
super(WebChar, self).__init__(update_from_db=update_from_db)
if self._has_updated_from_db is False:
self.init_dynamic_properties() # this was not done if we exited early
compute = True
if compute:
self.compute(save=True)
# emf_logger.debug('In WebChar, self.__dict__ = {0}'.format(self.__dict__))
emf_logger.debug("In WebChar, self.number = {0}".format(self.number))
def label_to_number(modulus, number, all=False):
"""
Takes the second part of a character label and converts it to the second
part of a Conrey label. This could be trivial (just casting to an int)
or could require converting from an orbit label to a number.
If the label is invalid, returns 0.
"""
try:
number = int(number)
except ValueError:
# encoding Galois orbit
if modulus < 10000:
try:
orbit_label = '{0}.{1}'.format(modulus, 1 + class_to_int(number))
except ValueError:
return 0
else:
number = db.char_dir_orbits.lucky({'orbit_label':orbit_label}, 'galois_orbit')
if number is None:
return 0
if not all:
number = number[0]
else:
return 0
else:
if number <= 0 or gcd(modulus, number) != 1 or number > modulus:
return 0
return number
def galoisorbit(self):
order = self.order
mod, num = self.modulus, self.number
prim = self.isprimitive
#beware this **must** be a generator
orbit = ( power_mod(num, k, mod) for k in xsrange(1, order) if gcd(k, order) == 1) # use xsrange not xrange
return ( self._char_desc(num, prim=prim) for num in orbit )
def projective_height(projective_point, abs_val=lambda x: x.abs()):
"""The projective exponential height function (works only over the rationals?)."""
denoms = [v.denominator() for v in projective_point]
nums = [v.numerator() for v in projective_point]
d = lcm(denoms)
g = gcd(nums)
return abs_val(d)/abs_val(g) * max([abs_val(v) for v in projective_point])
def diamond_orbit(E,N=None):
"""
"""
if N==None:
N=E([0,0]).order()
for d in xrange(1,N):
if gcd(d,N)==1:
yield diamond_operator(E,d)
def normal_vertices(Delta):
vertices = []
for ineq in Delta.inequalities_list():
c = ineq[0]
ineq = ineq[1:]
assert gcd(ineq) == 1
vertices.append(vector(ZZ, ineq))
return vertices
def inverse_gcd(i,N):
"""
Function IG in Mark his code
"""
i = ZZ(i); N = ZZ(N)
if N == 2*i and (i==1 or i==2):
return 1
return N/gcd(i,N)
def render_Dirichletwebpage(modulus=None, number=None):
if modulus == None:
return render_DirichletNavigation()
modulus = modulus.replace(' ','')
if number == None and re.match('^[1-9][0-9]*\.[1-9][0-9]*$', modulus):
return redirect(url_for(".render_Dirichletwebpage", label=modulus), 301)
args={}
args['type'] = 'Dirichlet'
args['modulus'] = modulus
args['number'] = number
try:
modulus = int(modulus)
except ValueError:
modulus = 0
if modulus <= 0:
flash_error ("%s is not a valid modulus for a Dirichlet character. It should be a positive integer.", args['modulus'])
return redirect(url_for(".render_Dirichletwebpage"))
if modulus > 10**20:
flash_error ("specified modulus %s is too large, it should be less than $10^{20}$.", modulus)
return redirect(url_for(".render_Dirichletwebpage"))
if number == None:
if modulus < 100000:
info = WebDirichletGroup(**args).to_dict()
else:
info = WebSmallDirichletGroup(**args).to_dict()
info['bread'] = [('Characters', url_for(".render_characterNavigation")),
('Dirichlet', url_for(".render_Dirichletwebpage")),
('%d'%modulus, url_for(".render_Dirichletwebpage", modulus=modulus))]
info['learnmore'] = learn()
info['code'] = dict([(k[4:],info[k]) for k in info if k[0:4] == "code"])
info['code']['show'] = { lang:'' for lang in info['codelangs'] } # use default show names
if 'gens' in info:
info['generators'] = ', '.join([r'<a href="%s">$\chi_{%s}(%s,\cdot)$'%(url_for(".render_Dirichletwebpage",modulus=modulus,number=g),modulus,g) for g in info['gens']])
return render_template('CharGroup.html', **info)
try:
number = int(number)
except ValueError:
number = 0;
if number <= 0 or gcd(modulus,number) != 1 or number > modulus:
flash_error("the value %s is invalid. It should be a positive integer coprime to and no greater than the modulus %s.", args['number'],args['modulus'])
return redirect(url_for(".render_Dirichletwebpage"))
if modulus < 100000:
webchar = WebDirichletCharacter(**args)
info = webchar.to_dict()
else:
info = WebSmallDirichletCharacter(**args).to_dict()
info['bread'] = [('Characters', url_for(".render_characterNavigation")),
('Dirichlet', url_for(".render_Dirichletwebpage")),
('%s'%modulus, url_for(".render_Dirichletwebpage", modulus=modulus)),
('%s'%number, url_for(".render_Dirichletwebpage", modulus=modulus, number=number)) ]
info['learnmore'] = learn()
info['code'] = dict([(k[4:],info[k]) for k in info if k[0:4] == "code"])
info['code']['show'] = { lang:'' for lang in info['codelangs'] } # use default show names
return render_template('Character.html', **info)
def circle_drops(A,B):
# Drops going around the unit circle for those A and B.
# See http://user.math.uzh.ch/dehaye/thesis_students/Nicolas_Wider-Integrality_of_factorial_ratios.pdf
# for longer description (not original, better references exist)
marks = lcm(lcm(A),lcm(B))
tmp = [0 for i in range(marks)]
for a in A:
# print tmp
for i in range(a):
if gcd(i, a) == 1:
tmp[i*marks/a] -= 1
for b in B:
# print tmp
for i in range(b):
if gcd(i, b) == 1:
tmp[i*marks/b] += 1
# print tmp
return [sum(tmp[:j]) for j in range(marks)]
def polygon_expand(Delta, len=1):
ieqs = []
for ineq in Delta.inequalities_list():
c = ineq[0]
ineq = ineq[1:]
assert c in ZZ
assert gcd(ineq) == 1
ieqs.append([c + len] + ineq)
return Polyhedron(ieqs=ieqs)
def value(self, val):
val = int(val)
chartex = self.char2tex(self.modulus,self.number,val=val,tag=False)
# FIXME: bug in dirichlet_conrey logvalue
if gcd(val, self.modulus) == 1:
val = self.texlogvalue(self.chi.logvalue(val))
else:
val = 0
return '\(%s=%s\)'%(chartex,val)
def _i_func(q):
'''Return i(B) in Katsurada's paper.
'''
m = ZZ(2) * (q.matrix()) ** (-1)
i = valuation(gcd(m.list()), ZZ(2))
m = ZZ(2) ** (-i) * m
if all(m[a, a] % 2 == 0 for a in range(m.ncols())):
return - i - 1
else:
return - i
def degree_cusp(i,N):
"""
Function DegreeCusp in Mark his code
returns the degree over Q of the cusp $q^(i/n)\zeta_n^j$ on X_1(N)
"""
i = ZZ(i); N = ZZ(N)
d = euler_phi(gcd(i,N))
if i == 0 or 2*i == N:
return ceil(d/2)
return d
def min_formula(N,t):
"""
Function MinFormula in Mark his code
"""
N = ZZ(N); t = QQ(t)
if N < 2:
raise ValueError
if N == 2:
return 4 * t -1
if N == 3:
return 9 * min(t, ZZ(1)/3) - 8*t
return sum(N * Phi(gcd(i,N)) * (min(t, i/N) - 4*(i/N)*(1-i/N)*t) for i in srange(1,(N-1)//2+1))
def gcd_of_norms(self, bd=False):
'''
Returns the g.c.d of absolute norms of Fourier coefficients.
'''
def norm(x):
if x in QQ:
return x
else:
return x.norm()
if bd is False:
bd = self.prec
return gcd([QQ(norm(self.fc_dct[t])) for t in PrecisionDeg2(bd)])
def Gelts(self):
res = []
m,n,k = self.modulus, 1, 1
while k < m and n <= self.maxcols:
if gcd(k,m) == 1:
res.append(k)
n += 1
k += 1
if n > self.maxcols:
self.coltruncate = True
return res
def prevchar(m, n, onlyprimitive=False):
""" Assume m>1 """
if onlyprimitive:
return WebDirichlet.prevprimchar(m, n)
if n == 1:
m, n = m - 1, m
if m <= 2:
return m, 1 # important : 2,2 is not a character
for k in xrange(n - 1, 0, -1):
if gcd(m, k) == 1:
return m, k
raise Exception("prevchar")
def Gelts(self):
res = []
m,n,k = self.modulus, 1, 1
while k < m and n <= self.maxcols:
if gcd(k,m) == 1:
res.append(k)
n += 1
k += 1
if n > self.maxcols:
self.coltruncate = True
return res
def Gelts(self):
res = []
m,n = self.modulus, 1
for k in xrange(1,m):
if gcd(k,m) == 1:
res.append(k)
n += 1
if n > self.maxcols:
self.coltruncate = True
break
return res
def _latex_using_dpd_depth1(self, dpd_dct):
names = [dpd_dct[c] for c in self._consts]
_gcd = QQ(gcd(self._coeffs))
coeffs = [c / _gcd for c in self._coeffs]
coeffs_names = [(c, n) for c, n in zip(coeffs, names) if c != 0]
tail_terms = ["%s %s %s" % ("+" if c > 0 else "", c, n) for c, n in coeffs_names[1:]]
c0, n0 = coeffs_names[0]
head_term = str(c0) + " " + str(n0)
return r"\frac{{{pol_num}}}{{{pol_dnm}}} \left({terms}\right)".format(
pol_dnm=latex(_gcd.denominator() * self._scalar_const._polynomial_expr()),
pol_num=latex(_gcd.numerator()),
terms=" ".join([head_term] + tail_terms),
)
def check_amn_slow(self, rec, verbose=False):
"""
Check that a_{pn} = a_p * a_n for p < 32 prime, n prime to p
"""
Z = [0] + [CC(*elt) for elt in rec['an_normalized']]
for pp in prime_range(len(Z)-1):
for k in range(1, (len(Z) - 1)//pp + 1):
if gcd(k, pp) == 1:
if (Z[pp*k] - Z[pp]*Z[k]).abs() > 1e-13:
if verbose:
print "amn failure", k, pp, Z[pp*k], Z[pp]*Z[k]
return False
return True
def test():
f, enc, q_orig, a_orig = get_test()
print(a_orig)
key = xor(f[:8], enc, cut='min')
print(key)
a_stream = bits(key)
print(a_stream)
print(bin(a_orig))
p, q = small_fcsr_finder(a_stream)
p, q = p//gcd(p,q), q//gcd(p,q)
p, q = abs(int(p)), abs(int(q))
print(bin(p))
print(bin(q))
print(p,q)
r = q.bit_length()-1
a = int(''.join(map(str, a_stream[:r][::-1])), 2)
fcsr = FCSR(q, 0, a)
decrypted = fcsr.encrypt(enc)
print(decrypted == f)
breakpoint()
def nextprimchar(m, n):
if m < 3:
return 3, 2
while 1:
n += 1
if n >= m:
m, n = m + 1, 2
if gcd(m, n) != 1:
continue
# we have a character, test if it is primitive
chi = ConreyCharacter(m,n)
if chi.is_primitive():
return m, n
def type_three_not_momose(K, embeddings, strong_type_3_epsilons):
"""Compute a superset of TypeThreeNotMomosePrimes"""
if len(strong_type_3_epsilons) == 0:
return [], []
C_K = K.class_group()
h_K = C_K.order()
# Since the data in strong_type_3_epsilons also contains the
# IQF L, we need to extract only the epsilons for the actual
# computation. On the other hand, we also want to report the Ls
# higher up the stack, so we get those as well
actual_type_3_epsilons = set(strong_type_3_epsilons.keys())
type_3_fields = set(strong_type_3_epsilons.values())
if h_K == 1:
return [], type_3_fields
aux_gen_list = auxgens(K)
bound_dict = {eps: 0 for eps in actual_type_3_epsilons}
for gen_list in aux_gen_list:
eps_lcm_dict = get_eps_lcm_dict(
C_K, actual_type_3_epsilons, embeddings, gen_list
)
for eps in actual_type_3_epsilons:
bound_dict[eps] = gcd(bound_dict[eps], eps_lcm_dict[eps])
for eps in actual_type_3_epsilons:
bound_dict[eps] = lcm(
bound_dict[eps], strong_type_3_epsilons[eps].discriminant()
)
Kgal = embeddings[0].codomain()
epsilons_for_ice = {eps: "quadratic-non-constant" for eps in actual_type_3_epsilons}
output = character_enumeration_filter(
K,
C_K,
Kgal,
bound_dict,
epsilons_for_ice,
1000,
embeddings,
auto_stop_strategy=True,
)
return output, type_3_fields
def prevchar(m, n, onlyprimitive=False):
""" Assume m>1 """
if onlyprimitive:
return WebDirichlet.prevprimchar(m, n)
if n == 1:
m, n = m - 1, m
if m <= 2:
return m, 1 # important : 2,2 is not a character
k = n-1
while k > 0:
if gcd(m, k) == 1:
return m, k
k -= 1
raise Exception("prevchar")
def _compute_echelon(self):
A = Matrix(self.parent(),
self.A.rows()) # we create a copy of the matrix
U = identity_matrix(self.parent(), A.nrows())
if (self.have_ideal): # we do simplifications
A = self.simplify(A)
## Step 1: initialize
r = 0
c = 0 # we look from the position (r,c)
while (r < A.nrows() and c < A.ncols()):
ir = self.__find_pivot(A, r, c)
A = self.simplify(A)
U = self.simplify(U) # we simplify in case relations pop up
if (ir != None): # we found a pivot
# We do the swapping (if needed)
if (ir != r):
A.swap_rows(r, ir)
U.swap_rows(r, ir)
# We do the bareiss step
Arc = A[r][c]
Arows = A.rows()
Urows = U.rows()
for i in range(r): # we create zeros on top of the pivot
Aic = A[i][c]
A.set_row(i, Arc * Arows[i] - Aic * Arows[r])
U.set_row(i, Arc * Urows[i] - Aic * Urows[r])
# We then leave the row r without change
for i in range(r + 1,
A.nrows()): # we create zeros below the pivot
Aic = A[i][c]
A.set_row(i, Aic * Arows[r] - Arc * Arows[i])
U.set_row(i, Aic * Urows[r] - Arc * Urows[i])
r += 1
c += 1
else: # no pivot then only advance in column
c += 1
# We finish simplifying the gcds in each row
gcds = [gcd(row) for row in A]
T = diagonal_matrix([1 / el if el != 0 else 1 for el in gcds])
A = (T * A).change_ring(self.parent())
U = T * U
return A, U
def circle_image(A,B):
G = Graphics()
G += circle((0,0), 1 , color = 'grey')
from collections import defaultdict
tmp = defaultdict(int)
for a in A:
for j in range(a):
if gcd(j,a) == 1:
rational = Rational(j)/Rational(a)
tmp[(rational.numerator(),rational.denominator())] += 1
for b in B:
for j in range(b):
if gcd(j,b) == 1:
rational = Rational(j)/Rational(b)
tmp[(rational.numerator(),rational.denominator())] -= 1
C = ComplexField()
for val in tmp:
if tmp[val] > 0:
G += text(str(tmp[val]),exp(C(-.2+2*3.14159*I*val[0]/val[1])), fontsize = 30, axes = False, color = "green")
if tmp[val] < 0:
G += text(str(abs(tmp[val])),exp(C(.2+2*3.14159*I*val[0]/val[1])), fontsize = 30, axes = False, color = "blue")
return G
def JG_torsion_upperbound(G, bound=60):
"""
INPUT:
- G - a congruence subgroup
- bound (optional, default = 60) - the bound for the primes p up to which to use
the hecke matrix `T_p - <p> - p` for bounding the torsion subgroup
OUTPUT:
- A subgroup of `(S_2(G) \otimes \QQ) / S_2(G)` that is guaranteed to contain
the rational torison subgroup, together with a subgroup generated by the
rational cusps.
The subgroup is given as a subgroup of `S_2(G)/NS_2(G)` for a suitable integer N
EXAMPLES::
sage: from mdsage import *
sage: d = rational_cuspidal_classgroup(Gamma1(23)).cardinality()
sage: upper_bound_index_cusps_in_JG_torsion(Gamma1(23),d)
1
"""
N = G.level()
M = ModularSymbols(G)
Sint = cuspidal_integral_structure(M)
kill_mat = (M.star_involution().matrix().restrict(Sint) - 1)
kill = kill_mat.transpose().change_ring(ZZ).row_module()
for p in prime_range(3, bound):
if not N % p == 0:
kill += kill_torsion_coprime_to_q(
p, M).restrict(Sint).change_ring(ZZ).transpose().row_module()
#if kill.matrix().is_square() and kill.matrix().determinant()==d:
# #print p
# break
kill_mat = kill.matrix().transpose()
#print N,"index of torsion in stuff killed",kill.matrix().determinant()/d
#if kill.matrix().determinant()==d:
# return 1
d = prod(kill_mat.smith_form()[0].diagonal())
pm = integral_period_mapping(M)
#period_images1=[sum([M.coordinate_vector(M([c,infinity])) for c in cusps])*pm for cusps in galois_orbits(G)]
period_images2 = [
M.coordinate_vector(M([c, infinity])) * pm for c in G.cusps()
if c != Cusp(oo)
]
m = (Matrix(period_images2) * kill_mat).stack(kill_mat)
m, d2 = m._clear_denom()
d = gcd(d, d2)
def circle_image(A,B):
G = Graphics()
G += circle((0,0), 1 , color = 'grey')
from collections import defaultdict
tmp = defaultdict(int)
for a in A:
for j in range(a):
if gcd(j,a) == 1:
rational = Rational(j)/Rational(a)
tmp[(rational.numerator(),rational.denominator())] += 1
for b in B:
for j in range(b):
if gcd(j,b) == 1:
rational = Rational(j)/Rational(b)
tmp[(rational.numerator(),rational.denominator())] -= 1
C = ComplexField()
for val in tmp:
if tmp[val] > 0:
G += text(str(tmp[val]),exp(C(-.2+2*3.14159*I*val[0]/val[1])), fontsize = 30, axes = False, color = "green")
if tmp[val] < 0:
G += text(str(abs(tmp[val])),exp(C(.2+2*3.14159*I*val[0]/val[1])), fontsize = 30, axes = False, color = "blue")
return G
def prevchar(m, n, onlyprimitive=False):
""" Assume m>1 """
if onlyprimitive:
return WebDirichlet.prevprimchar(m, n)
if n == 1:
m, n = m - 1, m
if m <= 2:
return m, 1 # important : 2,2 is not a character
k = n-1
while k > 0:
if gcd(m, k) == 1:
return m, k
k -= 1
raise Exception("prevchar")
def __get_lcm(self, input):
try:
return lcm(input)
except AttributeError:
## No lcm for this class, implementing a general lcm
try:
## Relying on gcd
p = self.__conversion.poly_ring()
res = p(1)
for el in input:
res = p((res * el) / gcd(res, el))
return res
except AttributeError:
## Returning the product of everything
return prod(input)
def crack_given_decrypt(n, m):
n = Integer(n)
m = Integer(m)
while True:
if is_odd(m):
break
divide_out = True
for _ in range(5):
a = randrange(1, n)
if gcd(a, n) == 1:
if Mod(a, n) ** (m // 2) != 1:
divide_out = False
break
if divide_out:
m //= 2
else:
break
while True:
a = randrange(1, n)
g = gcd(lift(Mod(a, n) ** (m // 2)) - 1, n)
if g != 1 and g != n:
return g
def rsa(bits):
# only prove correctness up to 1024bits
proof = (bits <= 1024)
p = next_prime(ZZ.random_element(2**(bits // 2 + 1)),
proof=proof)
q = next_prime(ZZ.random_element(2**(bits // 2 + 1)),
proof=proof)
n = p * q
phi_n = (p - 1) * (q - 1)
while True:
e = ZZ.random_element(1, phi_n)
if gcd(e, phi_n) == 1:
break
d = lift(Mod(e, phi_n)**(-1))
return e, d, n
def simplify_sqrt(c, d, rad):
assert c.parent() == d.parent()
assert rad.parent() == d.parent()
# writes sqrt(c + d sqrt(rad))
# as
# a sqrt(d1) + b sqrt(d2)
# where d1 * d2 = rad
g2 = c**2 - d**2 * rad
g = sqrt_poly(g2)
assert g**2 == g2, "%s != %s" % (g2, g**2)
a = gcd(g + c, d) / 2
d1 = (g + c) / (2 * a**2)
b = d / (2 * a)
d2 = rad / d1
return a, b, d1, d2
def prevprimchar(m, n):
if m <= 3:
return 1, 1
while True:
n -= 1
if n <= 1: # (m,1) is never primitive for m>1
m, n = m - 1, m - 1
if m <= 2:
return 1, 1
if gcd(m, n) != 1:
continue
# we have a character, test if it is primitive
chi = ConreyCharacter(m,n)
if chi.is_primitive():
return m, n
def circle_image(A, B):
G = Graphics()
G += circle((0, 0), 1, color='black', thickness=3)
G += circle(
(0, 0), 1.4, color='black', alpha=0
) # This adds an invisible framing circle to the plot, which protects the aspect ratio from being skewed.
from collections import defaultdict
tmp = defaultdict(int)
for a in A:
for j in range(a):
if gcd(j, a) == 1:
rational = Rational(j) / Rational(a)
tmp[(rational.numerator(), rational.denominator())] += 1
for b in B:
for j in range(b):
if gcd(j, b) == 1:
rational = Rational(j) / Rational(b)
tmp[(rational.numerator(), rational.denominator())] -= 1
C = ComplexField()
color1 = (41 / 255, 95 / 255, 45 / 255)
color2 = (0 / 255, 0 / 255, 150 / 255)
for val in tmp:
if tmp[val] > 0:
G += text(str(tmp[val]),
exp(C(-.2 + 2 * 3.14159 * I * val[0] / val[1])),
fontsize=30,
axes=False,
color=color1)
if tmp[val] < 0:
G += text(str(abs(tmp[val])),
exp(C(.2 + 2 * 3.14159 * I * val[0] / val[1])),
fontsize=30,
axes=False,
color=color2)
return G
def render_Dirichletwebpage(modulus=None, number=None):
#args = request.args
#temp_args = to_dict(args)
args = {}
args['type'] = 'Dirichlet'
args['modulus'] = modulus
args['number'] = number
if modulus == None:
return render_characterNavigation() # waiting for new landing page
info = WebDirichletFamily(**args).to_dict()
info['learnmore'] = learn()
return render_template('CharFamily.html', **info)
else:
modulus = int(modulus)
if number == None:
if modulus < 100000:
info = WebDirichletGroup(**args).to_dict()
else:
info = WebSmallDirichletGroup(**args).to_dict()
m = info['modlabel']
info['bread'] = [
('Characters', url_for(".render_characterNavigation")),
('Dirichlet', url_for(".render_Dirichletwebpage")),
('Mod %s' % m, url_for(".render_Dirichletwebpage", modulus=m))
]
info['learnmore'] = learn()
return render_template('CharGroup.html', **info)
else:
number = int(number)
if gcd(modulus, number) != 1:
return flask.abort(404)
if modulus < 100000:
info = WebDirichletCharacter(**args).to_dict()
else:
info = WebSmallDirichletCharacter(**args).to_dict()
m, n = info['modlabel'], info['numlabel']
info['bread'] = [
('Characters', url_for(".render_characterNavigation")),
('Dirichlet', url_for(".render_Dirichletwebpage")),
('Mod %s' % m, url_for(".render_Dirichletwebpage", modulus=m)),
('%s' % n,
url_for(".render_Dirichletwebpage", modulus=m, number=n))
]
info['learnmore'] = learn()
return render_template('Character.html', **info)
def render_Dirichletwebpage(modulus=None, number=None):
#args = request.args
#temp_args = to_dict(args)
args={}
args['type'] = 'Dirichlet'
args['modulus'] = modulus
args['number'] = number
if modulus == None:
return render_characterNavigation() # waiting for new landing page
info = WebDirichletFamily(**args).to_dict()
info['learnmore'] = learn()
return render_template('CharFamily.html', **info)
else:
modulus = int(modulus)
if number == None:
if modulus < 100000:
info = WebDirichletGroup(**args).to_dict()
else:
info = WebSmallDirichletGroup(**args).to_dict()
m = info['modlabel']
info['bread'] = [('Characters', url_for(".render_characterNavigation")),
('Dirichlet', url_for(".render_Dirichletwebpage")),
('Mod %s'%m, url_for(".render_Dirichletwebpage", modulus=m))]
info['learnmore'] = learn()
info['code'] = dict([(k[4:],info[k]) for k in info if k[0:4] == "code"])
info['code']['show'] = { lang:'' for lang in info['codelangs'] } # use default show names
return render_template('CharGroup.html', **info)
else:
number = int(number)
if gcd(modulus, number) != 1:
return flask.abort(404)
if modulus < 100000:
webchar = WebDirichletCharacter(**args)
info = webchar.to_dict()
else:
info = WebSmallDirichletCharacter(**args).to_dict()
m,n = info['modlabel'], info['numlabel']
info['bread'] = [('Characters', url_for(".render_characterNavigation")),
('Dirichlet', url_for(".render_Dirichletwebpage")),
('Mod %s'%m, url_for(".render_Dirichletwebpage", modulus=m)),
('%s'%n, url_for(".render_Dirichletwebpage", modulus=m, number=n)) ]
info['learnmore'] = learn()
info['code'] = dict([(k[4:],info[k]) for k in info if k[0:4] == "code"])
info['code']['show'] = { lang:'' for lang in info['codelangs'] } # use default show names
return render_template('Character.html', **info)
def nextprimchar(m, n):
if m < 3:
return 3, 2
if n < m - 1:
Gm = DirichletGroup_conrey(m)
while 1:
n += 1
if n >= m:
m, n = m + 1, 2
Gm = DirichletGroup_conrey(m)
if gcd(m, n) != 1:
continue
# we have a character, test if it is primitive
chi = Gm[n]
if chi.is_primitive():
return m, n
def nextchar(m, n, onlyprimitive=False):
""" we know that the characters
chi_m(1,.) and chi_m(m-1,.)
always exist for m>1.
They are extremal for a given m.
"""
if onlyprimitive:
return WebDirichlet.nextprimchar(m, n)
if m == 1:
return 2, 1
if n == m - 1:
return m + 1, 1
for k in xrange(n + 1, m):
if gcd(m, k) == 1:
return m, k
raise Exception("nextchar")
def normalise_laurent_polynomial(f):
"""
Rescale a Laurent polynomial by Laurent monomials. Details TBA.
"""
# Since Sage's Laurent polynomials are useless, we just use rational
# functions instead.
# First make sure, 'f' really is one.
R = f.parent()
K = FractionField(R)
f = K(f)
if K.ngens() == 0:
return R(0) if not f else R(1)
f = f.numerator()
return R(f / gcd(f.monomials()))
def jacobi_sum(self, val):
mod, num = self.modulus, self.number
val = int(val)
if gcd(mod, val) > 1:
raise Warning ("n must be coprime to the modulus : %s"%mod)
psi = self.H[val]
chi = self.chi.sage_character()
psi = psi.sage_character()
jacobi_sum = chi.jacobi_sum(psi)
chitex = self.char2tex(mod, num, tag=False)
psitex = self.char2tex(mod, val, tag=False)
Gtex = '\Z/%s\Z' % mod
chitexr = self.char2tex(mod, num, 'r', tag=False)
psitex1r = self.char2tex(mod, val, '1-r', tag=False)
deftex = r'\sum_{r\in %s} %s %s'%(Gtex,chitexr,psitex1r)
from sage.all import latex
return r"\( \displaystyle J(%s,%s) = %s = %s.\)" % (chitex, psitex, deftex, latex(jacobi_sum))
def __init__(self,
modulus=1,
number=1,
update_from_db=True,
compute_values=False,
init_dynamic_properties=True):
r"""
Init self.
"""
emf_logger.debug("In WebChar {0}".format(
(modulus, number, update_from_db, compute_values)))
if isinstance(modulus, basestring):
try:
m, n = modulus.split('.')
modulus = int(m)
number = int(n)
except:
raise ValueError, "{0} does not correspond to the label of a WebChar".format(
modulus)
if not gcd(number, modulus) == 1:
raise ValueError, "Character number {0} of modulus {1} does not exist!".format(
number, modulus)
if number > modulus:
number = number % modulus
self._properties = WebProperties(
WebInt('conductor'), WebInt('modulus', value=modulus),
WebInt('number', value=number), WebInt('modulus_euler_phi'),
WebInt('order'), WebStr('latex_name'),
WebStr('label', value="{0}.{1}".format(modulus, number)),
WebNoStoreObject('sage_character', type(trivial_character(1))),
WebDict('_values_algebraic'), WebDict('_values_float'),
WebDict('_embeddings'),
WebFloat('version', value=float(emf_version)))
emf_logger.debug('Set properties in WebChar!')
super(WebChar,
self).__init__(update_from_db=update_from_db,
init_dynamic_properties=init_dynamic_properties)
#if not self.has_updated_from_db():
# self.init_dynamic_properties() # this was not done if we exited early
# compute = True
if compute_values:
self.compute_values()
#emf_logger.debug('In WebChar, self.__dict__ = {0}'.format(self.__dict__))
emf_logger.debug('In WebChar, self.number = {0}'.format(self.number))
def prevprimchar(m, n):
if m <= 3:
return 1, 1
if n > 2:
Gm = DirichletGroup_conrey(m)
while True:
n -= 1
if n <= 1: # (m,1) is never primitive for m>1
m, n = m - 1, m - 1
Gm = DirichletGroup_conrey(m)
if m <= 2:
return 1, 1
if gcd(m, n) != 1:
continue
# we have a character, test if it is primitive
chi = Gm[n]
if chi.is_primitive():
return m, n
def windingelement_hecke_cutter_projected(data, extra_cutter_bound=None):
"Creates winding element projected to the subspace where the hecke cutter condition of the data is satisfied"
M = modular_symbols_ambient_from_lmfdb_mf(data)
#dim = M.dimension()
S = M.cuspidal_subspace()
K = M.base_ring()
R = PolynomialRing(K, "x")
cutters = data[u'hecke_cutters']
cutters_maxp = cutters[-1][0] if cutters else 1
weight = data[u'weight']
assert weight % 2 == 0
cuts_eisenstein = False
winding_element = M.modular_symbol([weight // 2 - 1, 0, oo]).element()
if extra_cutter_bound:
N = data[u'level']
wn = WebNewform(data)
#qexp = qexp_as_nf_elt(wn,prec=extra_cutter_bound)
for p in prime_range(cutters_maxp, extra_cutter_bound):
if N % p == 0:
continue
cutters.append([p, qexp_as_nf_elt(wn)[p].minpoly().list()])
for c in cutters:
p = c[0]
fM = M.hecke_polynomial(p)
fS = S.hecke_polynomial(p)
cutter = gcd(R(c[1]), fS)
assert not cutter.is_constant()
for cp, ce in cutter.factor():
assert ce == 1
e = fM.valuation(cp)
if fS.valuation(cp) == e:
cuts_eisenstein = True
winding_element = polynomial_matrix_apply(fM // cp**e,
M.hecke_matrix(p),
winding_element)
if winding_element == 0:
return winding_element
#print fS.valuation(cp),fM.valuation(cp),ce
assert cuts_eisenstein
return winding_element
def simplify_equation(poly):
"""
Simplifies the given polynomial in three ways:
1. Cancels any M*m and L*l pairs.
2. Sets a0 = 1.
3. Since all variables represent non-zero quantities, divides by
the gcd of the monomials terms.
sage: R = PolynomialRing(QQ, ['M', 'L', 'm', 'l', 'a0', 'x', 'y', 'z'])
sage: simplify_equation(R('5*M*m^2*L*l^3*x*y + 3*M*m*L*l + 11*M^10*m^3*L^5*l^2*z'))
11*M^7*L^3*z + 5*m*l^2*x*y + 3
sage: simplify_equation(R('-a0*x + M^7*m^7*x + L^9*l^3*z + a0^2'))
L^6*z + 1
sage: simplify_equation(R('M^2*L*a0*x - M*L*y^2*x + M*z^2*x'))
-L*y^2 + M*L + z^2
"""
R = poly.parent()
ans = R.zero()
try:
# Should we just permanently commit to c_1100_0
poly = poly.subs(a0=1)
except:
poly = poly.subs(c_1100_0=1)
for coeff, monomial in list(poly):
e = monomial.exponents()[0]
M_exp = e[0] - e[2]
L_exp = e[1] - e[3]
if M_exp >= 0:
M_p, M_n = M_exp, 0
else:
M_p, M_n = 0, -M_exp
if L_exp >= 0:
L_p, L_n = L_exp, 0
else:
L_p, L_n = 0, -L_exp
ans += coeff * R.monomial(M_p, L_p, M_n, L_n, *e[4:])
ans = ans // gcd([mono for coeff, mono in list(ans)])
return ans
def K(self, m, n, c):
r"""
K(m,n,c) = sum_{d (c)} e((md+n\bar{d})/c)
"""
summa = 0
z = CyclotomicField(c).gen()
print("z={0}".format(z))
for d in range(c):
if gcd(d, c) > 1:
continue
try:
dbar = inverse_mod(d, c)
except ZeroDivisionError:
print("c={0}".format(c))
print("d={0}".format(d))
raise ZeroDivisionError
arg = m * dbar + n * d
#print "arg=",arg
summa = summa + z**arg
return summa
def _get_element_nullspace(self, M):
from ajpastor.misc.bareiss import BareissAlgorithm
## We take the domain where our elements will lie
parent = M.parent().base().base()
## Computing the kernell of the matrix
try:
lcms = [lcm([el.denominator() for el in row]) for row in M]
N = Matrix(parent, [[el*lcms[i] for el in M[i]] for i in range(M.nrows())])
ba = BareissAlgorithm(parent, N, lambda p : False)
ker = ba.syzygy().transpose()
except Exception as e:
print(e)
ker = M.right_kernel_matrix()
#ker = M.right_kernel_matrix()
## If the nullspace has hight dimension, we try to reduce the final vector computing zeros at the end
aux = [row for row in ker]
i = 1
while(len(aux) > 1):
new = []
current = None
for j in range(len(aux)):
if(aux[j][-(i)] == 0):
new += [aux[j]]
elif(current is None):
current = j
else:
new += [aux[current]*aux[j][-(i)] - aux[j]*aux[current][-(i)]]
current = j
aux = [el/gcd(el) for el in new]
i = i+1
## When exiting the loop, aux has just one vector
sol = aux[0]
## Our solution has denominators. We clean them all
p = prod([el.denominator() for el in sol])
return vector(parent, [el*p for el in sol])
def R_du(d, u, M, columns=None, a_inv=False):
"""Returns a matrix that can be used to verify formall immersions on X_0(p)
for all p > 2*M*d, such that p*u = 1 mod M.
Args:
d ([int]): degree of number field
u ([int]): a unit mod M whose formal immersion properties we'd like to check
M ([int]): an auxilary integer.
Returns:
[Matrix]: The Matrix of Corollary 6.8 of Derickx-Kamienny-Stein-Stoll.
"""
if columns is None:
columns = [a for a in range(M) if gcd(a, M) == 1]
a_inv = False
if not a_inv:
columns = [(a, int((ZZ(1) / a) % M)) for a in columns]
return Matrix(
ZZ,
[[((0 if 2 * ((r * a[0]) % M) < M else 1) -
(0 if 2 * ((r * u * a[1]) % M) < M else 1)) for a in columns]
for r in range(1, d + 1)],
)
def is_involution(self, W, verbose=0):
r"""
Explicit test if W is an involution of Gamma0(self._level)
"""
G = Gamma0(self._level)
for g in G.gens():
gg = Matrix(ZZ, 2, 2, g.matrix().list())
g1 = W * gg * W**-1
if verbose > 0:
print "WgW^-1=", g1
if g1 not in G:
return False
W2 = W * W
c = gcd(W2.list())
if c > 1:
W2 = W2 / c
if verbose > 0:
print "W^2=", W2
if W2 not in G:
return False
return True
def _unverified_short_slopes_from_translations(translations, length = 6):
m_tran, l_tran = translations
if isinstance(m_tran, complex):
raise Exception("Expected real meridian translation")
if not isinstance(m_tran, float):
if m_tran.imag() != 0.0:
raise Exception("Expected real meridian translation")
if not m_tran > 0:
raise Exception("Expected positive merdian translation")
length = length * 1.001
result = []
max_abs_l = _floor(length / abs(_imag(l_tran)))
for l in range(0, max_abs_l + 1):
total_l_tran = l * l_tran
max_real_range_sqr = length ** 2 - _imag(total_l_tran) ** 2
if max_real_range_sqr >= 0:
max_real_range = sqrt(max_real_range_sqr)
if l == 0:
min_m = 1
else:
min_m = _ceil(
(- _real(total_l_tran) - max_real_range) / m_tran)
max_m = _floor(
(- _real(total_l_tran) + max_real_range) / m_tran)
for m in range(min_m, max_m + 1):
if gcd(m, l) in [-1, +1]:
result.append((m,l))
return result
def label_to_number(modulus, number, all=False):
"""
Takes the second part of a character label and converts it to the second
part of a Conrey label. This could be trivial (just casting to an int)
or could require converting from an orbit label to a number.
If the label is invalid, returns 0.
"""
try:
number = int(number)
except ValueError:
# encoding Galois orbit
if modulus < 10000:
try:
orbit_label = '{0}.{1}'.format(modulus,
1 + class_to_int(number))
except ValueError:
raise ValueError(
"Dirichlet Character of this label not found in database")
else:
number = db.char_dir_orbits.lucky({'orbit_label': orbit_label},
'galois_orbit')
if number is None:
raise ValueError(
"Dirichlet Character of this label not found in database"
)
if not all:
number = number[0]
else:
raise ValueError("The modulus cannot be larger than 10,000")
else:
if number <= 0:
raise ValueError("The number after the '.' cannot be negative")
elif gcd(modulus, number) != 1:
raise ValueError(
"The two numbers either side of '.' must be coprime")
elif number > modulus:
raise ValueError(
"The number after the '.' must be less than the number before")
return number
def dirichlet_group(self, prime_bound=10000):
f = self.conductor()
if f == 1: # To make the trivial case work correctly
return [1]
if euler_phi(f) > dir_group_size_bound:
return []
# Can do quadratic fields directly
if self.degree() == 2:
if is_odd(f):
return [1, f - 1]
f1 = f / 4
if is_odd(f1):
return [1, f - 1]
# we now want f with all powers of 2 removed
f1 = f1 / 2
if is_even(f1):
raise Exception('Invalid conductor')
if (self.disc() / 8) % 4 == 3:
return [1, 4 * f1 - 1]
# Finally we want congruent to 5 mod 8 and -1 mod f1
if (f1 % 4) == 3:
return [1, 2 * f1 - 1]
return [1, 6 * f1 - 1]
from dirichlet_conrey import DirichletGroup_conrey
G = DirichletGroup_conrey(f)
K = self.K()
S = Set(G[1].kernel()) # trivial character, kernel is whole group
for P in K.primes_of_bounded_norm_iter(ZZ(prime_bound)):
a = P.norm() % f
if gcd(a, f) > 1:
continue
S = S.intersection(Set(G[a].kernel()))
if len(S) == self.degree():
return list(S)
raise Exception(
'Failure in dirichlet group for K=%s using prime bound %s' %
(K, prime_bound))
def dirichlet_character_conrey_galois_orbit_embeddings(N, xi):
r"""
Returns a dictionary that maps the Conrey numbers
of the Dirichlet characters in the Galois orbit of x
to the powers of $\zeta_{\phi(N)}$ so that the corresponding
embeddings map the labels.
Let $\zeta_{\phi(N)}$ be the generator of the cyclotomic field
of $N$-th roots of unity which is the base field
for the coefficients of a modular form contained in the database.
Considering the space $S_k(N,\chi)$, where $\chi = \chi_N(m, \cdot)$,
if embeddings()[m] = n, then $\zeta_{\phi(N)}$ is mapped to
$\zeta_{\phi(N)}^n = \mathrm{exp}(2\pi i n /\phi(N))$.
"""
embeddings = {}
base_number = 0
base_number = xi
embeddings[base_number] = 1
for n in range(2, N):
if gcd(n, N) == 1:
embeddings[Mod(base_number, N)**n] = n
return embeddings