def _dimension_Kp(wt, p):
"""
Return the dimensions of subspaces of Siegel modular forms on $K(p)$
for primes $p$.
OUTPUT
("Total", "Gritsenko Lifts", "Nonlifts", "Oldforms")
"""
oldforms = 0
grits = __JacobiDimension(wt, p)
if not is_prime(p):
return (uk, grits, uk, uk)
if wt <= 1:
return (0, 0, 0, 0)
if wt == 2:
newforms = '?'
total = '' + str(grits) + ' - ?'
if p < 600:
newforms = 0
total = grits
interestingPrimes = [277, 349, 353, 389, 461, 523, 587]
if p in interestingPrimes:
if p == 587:
newforms = '0 - 2'
total = '' + str(grits) + ' - ' + str(grits + 2)
newforms = '0 - 1'
total = '' + str(grits) + ' - ' + str(grits + 1)
return (total, grits, newforms, oldforms)
total = dimKp(wt, p)
newforms = total - grits - oldforms
return (total, grits, newforms, oldforms)
def t2(self, q=3):
"""
Return mod 2 matrix t2 computed using the current choice of
prime q, as returned by self.q.
INPUT:
- `q` -- integer
OUTPUT:
- a mod 2 matrix
EXAMPLES::
sage: from mdsage import *
sage: C = KamiennyCriterion(29)
sage: C.t2()[0]
(1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0)
"""
if q==2 or self.p % q == 0 or not is_prime(q):
raise ValueError("q must be prime, unequal to 2 and not divide self.p")
if self.congruence_type==0:
return self.T(q) - (q + 1)
else:
return self.T(q) - self.dbd(q) - q
def prime_anisotropic_symbols(p):
print p
if not (p==1 or is_prime(p) or p == 4 or p == 8):
raise ValueError
else:
if is_odd(p) and is_prime(p):
if p % 4 == 3:
return [str(p) + '^+1', str(p) + '^-1', str(p) + '^+2']
else:
return [str(p) + '^+1', str(p) + '^-1', str(p) + '^-2']
else:
if p==1:
return ['']
if p == 2:
return ['2^-2']
elif p==4:
return ['2_1^+1', '2_7^+1', '2_2^+2', '2_0^+2', '2_3^-3', '2_5^-3']
elif p==8:
return ['4_1^+1', '4_3^-1', '4_5^-1', '4_7^+1', '2_1^+1.4_1^+1', '2_1^+1.4_3^-1', '2_1^+1.4_5^-1', '2_1^+1.4_7^+1']
def _set_coset_reps(self):
if is_prime(self._level):
self._coset_reps[0] = SL2Z([1,0,0,1])
for n in range(self._level):
self._coset_reps[n+1] = SL2Z([0,-1,1,n])
else:
G = Gamma0(self._level)
n = 0
for A in G.coset_reps():
self._coset_reps[n] = A
n+=1
def is_valid_curve(q,t,r,k,D):
"""
Description:
Tests that (q,t,r,k,D) is a valid elliptic curve
Input:
q - size of prime field
t - trace of Frobenius
r - size of prime order subgroup
k - embedding degree
D - (negative) fundamental discriminant
Output:
bool - true iff there exists an elliptic curve over F_q with trace t, a subgroup of order r with embedding degree k, and fundamental discriminant D
"""
if q == 0 or t == 0 or r == 0 or k == 0 or D == 0:
return False
if not is_prime(q):
return False
if not is_prime(r):
return False
if not fundamental_discriminant(D) == D:
return False
if D % 4 == 0: #check CM equation
if not is_square(4*(t*t - 4*q)//D):
return False
if D % 4 == 1:
if not is_square((t*t - 4*q)//D):
return False
if not (q+1-t) % r == 0: #check r | #E(F_q)
return False
if not power_mod(q,k,r) == 1: #check embedding degree is k
return False
return True
def _mnt_subcall(k,D, m, condition, modulus, c1, c2, l1, l2, t1, t2, q0):
D2 = -3*D
D2 = Integer(D2)
assert condition(-D), 'No curve exists'
pell_sols = pell_solve(D2, m) # solve the Pell equation
curves = []
curves2 = []
if len(pell_sols[1])== 0: # no solutions found, so abort
return curves
sols = [(Integer(i[0]), Integer(i[1])) for i in pell_sols[1]]
gen = (Integer(pell_sols[0][0]), Integer(pell_sols[0][1]))
q = 0
t = 0
for i in range(0, len(sols)):
if sols[i][0] < 0:
sols[i] = (sols[i][0]*gen[0] + D2*sols[i][1]*gen[1], sols[i][1]*gen[0] + sols[i][0]*gen[1])
for sol in sols:
check = False
x = sol[0]
l = 0
t = 0
q = 0
if x % modulus == c1:
l = l1(x)
t = t1(l)
check = True
elif x % modulus == c2:
l = l2(x)
t = t2(l)
check = True
if check:
q = q0(l)
if is_prime(q) and is_prime(q+1-t):
if ((q,t) not in curves2):
curves.append((q,t,q+1-t,k,D))
curves2.append((q,t))
return curves
def is_suitable_q(q):
"""
Description:
User-defined method that filters the set of primes q that are returned. By default checks if q is prime
Input:
q - integer
Output:
bool - true iff q is suitable
"""
return is_prime(q)
def genCurve(bits):
p = sg.next_prime(random.randint(2**(bits-1), 2**(bits)))
order = 0
while not(sg.is_prime(order)) or order == p or order == p+1:
A = random.randint(1, 10**5)
B = random.randint(1, 10**5)
if (4*A**3 + 27*B**2) % p != 0: ## Avoid singular curves ##
E = sg.EllipticCurve(sg.GF(p), [A,B])
order = E.cardinality()
P = E.random_point()
Q = E.random_point()
f = open("curves.csv", "a")
f.write(str(bits)+",")
f.write(str(A)+",")
f.write(str(B)+",")
f.write(str(p)+",")
f.write(str(order)+",")
f.write(str(P.xy()[0])+","+str(P.xy()[1])+",")
f.write(str(Q.xy()[0])+","+str(Q.xy()[1])+"\n")
f.close()
def test_ec(num_tests,num_bits, debug=False):
print('testing EC chain...')
func_start = time.time()
fail = 0
for i in range(0, num_tests):
try:
k = randint(5,20)
r = 0
while not (r % k == 1 and is_prime(r)):
r = random_prime(2**(num_bits-1), 2**num_bits)
k_vector = [k]
k_vector.append(randint(5,20))
k_vector.append(randint(5,20))
curves = ec.new_chain(r, k_vector)
assert ec.is_chain(curves)
except AssertionError as e:
fail += 1
if fail == 0:
print('test passed')
return True
else:
print("failed %.2f" %(100*fail/num_tests) + "% of tests!")
return False
def primes_arith_prog(bound=10**4, out='arith_prog.pdf', d=3):
'''
Run through all prime powers r up to `bound`, and select for each
the smallest u such that ur+1 is prime.
Then do degree `d` linear regression, and plot everything into
`out`.
'''
# Find primes
x, y = np.array([(p, next(u for u in xrange(p) if is_prime(u*p+1)))
for p in prime_powers(3,bound)]).T
# linear regression
lstsq = np.polyfit(np.log10(x), y, d)
# Figure settings
plt.rc('text', usetex=True)
plt.rc('font', family='serif', serif='Computer Modern')
plt.figure(figsize=(8,3))
# Plot a 2D histogram of the data, with abscissa in log scale
plt.hist2d(np.log10(x), y, bins=(1.5*max(y),max(y)/2),
weights=np.log10(x)/x,
cmap=cm.jet, norm=LogNorm())
plt.colorbar()
# Plot the linear regression
x = np.linspace(*plt.xlim(), num=100)
plt.plot(x, np.polyval(lstsq, x), c='black', label='degree %d polynomial regression' % d)
plt.legend(loc='upper left')
# More figure settings
locs, _ = plt.xticks()
plt.xticks(locs, map(lambda l: '$10^%d$' % l, locs))
plt.tight_layout()
# Write to file
plt.savefig(out, bbox_inches='tight')
plt.close()
def general_webpagedata(self):
info = {}
try:
info['support'] = self.support
except AttributeError:
info['support'] = ''
info['Ltype'] = self.Ltype()
try:
info['label'] = self.label
except AttributeError:
info['label'] = ""
try:
info['credit'] = self.credit
except AttributeError:
info['credit'] = ""
info['degree'] = int(self.degree)
info['conductor'] = self.level
if not is_prime(int(self.level)):
if self.level >= 10**8:
info['conductor'] = latex(self.level_factored)
else:
info['conductor_factored'] = latex(self.level_factored)
info['sign'] = "$" + styleTheSign(self.sign) + "$"
info['algebraic'] = self.algebraic
if self.selfdual:
info['selfdual'] = 'yes'
else:
info['selfdual'] = 'no'
if self.primitive:
info['primitive'] = 'yes'
else:
info['primitive'] = 'no'
info['dirichlet'] = lfuncDShtml(self, "analytic")
# Hack, fix this more general?
info['dirichlet'] = info['dirichlet'].replace('*I','<em>i</em>')
info['eulerproduct'] = lfuncEPtex(self, "abstract")
info['functionalequation'] = lfuncFEtex(self, "analytic")
info['functionalequationSelberg'] = lfuncFEtex(self, "selberg")
if hasattr(self, 'positive_zeros'):
info['positive_zeros'] = self.positive_zeros
info['negative_zeros'] = self.negative_zeros
if hasattr(self, 'plot'):
info['plot'] = self.plot
if hasattr(self, 'factorization'):
info['factorization'] = self.factorization
if self.fromDB and self.algebraic:
info['dirichlet_arithmetic'] = lfuncDShtml(self, "arithmetic")
info['eulerproduct_arithmetic'] = lfuncEPtex(self, "arithmetic")
info['functionalequation_arithmetic'] = lfuncFEtex(self, "arithmetic")
if self.motivic_weight % 2 == 0:
arith_center = "\\frac{" + str(1 + self.motivic_weight) + "}{2}"
else:
arith_center = str(ZZ(1)/2 + self.motivic_weight/2)
svt_crit = specialValueTriple(self, 0.5, '\\frac12',arith_center)
info['sv_critical'] = svt_crit[0] + "\\ =\\ " + svt_crit[2]
info['sv_critical_analytic'] = [svt_crit[0], svt_crit[2]]
info['sv_critical_arithmetic'] = [svt_crit[1], svt_crit[2]]
if self.motivic_weight % 2 == 1:
arith_edge = "\\frac{" + str(2 + self.motivic_weight) + "}{2}"
else:
arith_edge = str(ZZ(1) + self.motivic_weight/2)
svt_edge = specialValueTriple(self, 1, '1',arith_edge)
info['sv_edge'] = svt_edge[0] + "\\ =\\ " + svt_edge[2]
info['sv_edge_analytic'] = [svt_edge[0], svt_edge[2]]
info['sv_edge_arithmetic'] = [svt_edge[1], svt_edge[2]]
chilatex = "$\chi_{" + str(self.charactermodulus) + "} (" + str(self.characternumber) +", \cdot )$"
info['chi'] = ''
if self.charactermodulus != self.level:
info['chi'] += "induced by "
info['chi'] += '<a href="' + url_for('characters.render_Dirichletwebpage',
modulus=self.charactermodulus, number=self.characternumber)
info['chi'] += '">' + chilatex + '</a>'
info['st_group'] = self.st_group
info['st_link'] = self.st_link
info['rank'] = self.order_of_vanishing
info['motivic_weight'] = r'\(%d\)' % self.motivic_weight
elif self.Ltype() == "riemann":
info['sv_edge'] = r"\[\zeta(1) \approx $\infty$\]"
info['sv_critical'] = r"\[\zeta(1/2) \approx -1.460354508\]"
elif self.Ltype() != "artin" or (self.Ltype() == "artin" and self.sign != 0):
try:
info['sv_edge'] = specialValueString(self, 1, '1')
info['sv_critical'] = specialValueString(self, 0.5, '1/2')
except:
info['sv_critical'] = "L(1/2): not computed"
info['sv_edge'] = "L(1): not computed"
return info
def primes(self, primes, test=True):
self._primes = primes
if test:
for p in primes:
if not is_prime(p):
self._primes.remove(p)
def test_SECCON_2020_crypto01():
masked_flag = 8077275413285507538357977814283814136815067070436948406142717872478737670143034266458000767181162602217137657160614964831459653429727469965712631294123225
ciphertexts = [
(
886775008733978973740257525650074677865489026053222554158847150065839924739525729402395428639350660027796013999414358689067171124475540042281892825140355436902197270317502862419355737833115120643020255177020178331283541002427279377648285229476212651491301857891044943211950307475969543789857568915505152189,
428559018841948586040450870835405618958247103990365896475476359721456520823105336402250177610460462882418373365551361955769011150860740050608377302711322189733933012507453380208960247649622047461113987220437673085,
(80103920082434941308951713928956232093682985133090231319482222058601362901404235742975739345738195056858602864819514638254604213654261535503537998613664606957411824998071339098079622119781772477940471338367084695408560473046701072890754255641388442248683562485936267601216704036749070688609079527182189924,
842529568002033827493313169405480104392127700904794758022297608679141466431472390397211660887148306350328312067659313538964875094877785244888004725864621826211254824064492961341512012172365417791553455922872091302295614295785447354268009914265614957287377743897340475899980395298019735631787570231395791009
),
59051335744243522933765175665,
),
(
37244493713246153778174562251362609960152354778990433088693945121840521598316370898923829767722653817418453309557995775960963654893571162621888675965423771020678918714406461976659339420718804301006282789714856197345257634581330970033427061846386874027391337895557558939538516456076874074642348992933600929747,
152657520846237173082171645969128953029734435220247551748055538422696193261367413610113664730705318574898280226247526051526753570012356026049784218573767765351341949785570284026342156807244268439356037529507501666987,
(14301224815357080657295611483943004076662022528706782110580690613822599700117720290144067866898573981166927919045773324162651193822888938569692341428439887892150361361566562459037438581637126808773605536449091609307652818862273375400935935851849153633881318435727224452416837785155763820052159016539063161774,
711567521767597846126014317418558888899966530302382481896965868976010995445213619798358362850235642988939870722858624888544954189591439381230859036120045216842190726357421800117080884618285875510251442474167884705409694074544449959388473647082485564659040849556130494057742499029963072560315800049629531101
),
56178670950277431873900982569,
),
(
6331516792334912993168705942035497262087604457828016897033541606942408964421467661323530702416001851055818803331278149668787143629857676822265398153269496232656278975610802921303671791426728632525217213666490425139054750899596417296214549901614709644307007461708968510489409278966392105040423902797155302293,
2041454339352622193656627164408774503102680941657965640324880658919242765901541504713444825283928928662755298871656269360429687747026596290805541345773049732439830112665647963627438433525577186905830365395002284129,
(4957181230366693742871089608567285130576943723414681430592899115510633732100117146460557849481224254840925101767808247789524040371495334272723624632991086495766920694854539353934108291010560628236400352109307607758762704896162926316651462302829906095279281186440520100069819712951163378589378112311816255944,
2715356151156550887523953822376791368905549782137733960800063674240100539578667744855739741955125966795181973779300950371154326834354436541128751075733334790425302253483346802547763927140263874521376312837536602237535819978061120675338002761853910905172273772708894687214799261210445915799607932569795429868
),
70953285682097151767648136059,
),
]
HINTSIZE = 96
def decrypt(c, d, n):
n = int(n)
size = n.bit_length() // 2
c_high, c_low = c
b = (c_low**2 - c_high**3) % n
EC = EllipticCurve(Zmod(n), [0, b])
m_high, m_low = (EC((c_high, c_low)) * d).xy()
m_high, m_low = int(m_high), int(m_low)
return (m_high << size) | m_low
hintmod = 2**HINTSIZE
todec = masked_flag
for data in ciphertexts:
n, e, c, hint = data
c_high, c_low = c
for f in (e / QQ(n)).continued_fraction().convergents():
y = f.numerator()
x = f.denominator()
if is_prime(x) and is_prime(y):
print("good", x, y)
break
plo = hint
qlo = n * inverse_mod(plo, hintmod) % hintmod
slo = (plo + qlo) % hintmod
assert plo * qlo % hintmod == n % hintmod
a = e * x - (n + 1) * y
z_mod_y = (-a) % y
z_mod_hintmod = (-a + slo * y) % hintmod
midmod = hintmod * y
zmid = crt([z_mod_y, z_mod_hintmod], [y, hintmod])
aa = a - slo * y + zmid
assert aa % midmod == 0
aa //= midmod
# shi = (p + q) // hintmod
# zhi is ~216 bits
# assert shi == aa + zhi
sumpq = aa * hintmod
eps = 2**216 * hintmod
rsa = RSA(n)
pbound, qbound = rsa.bound_primes_from_approximate_sum(
sumpq - eps, 2 * eps)
try:
print("factor1")
p, q = rsa.factor_with_prime_hint(low_mod=(plo, hintmod),
bounds=pbound,
beta=0.49)
except RuntimeError:
print("factor2")
p, q = rsa.factor_with_prime_hint(low_mod=(qlo, hintmod),
bounds=pbound,
beta=0.49)
print("ok!")
d = inverse_mod(e, n + p + q + 1)
mask = decrypt(c, d, n)
todec ^= mask
assert Bin(todec).bytes == b'SECCON{gut_poweeeeeeeeeeeeeer}'
Z[i] = bool(z)
d = {"X": X, "Z": Z}
save_pickle(d, FOLDER, "is_cyclic.pkl")
###############################################################################
# Prime number functions
###############################################################################
set_seed(SEED + 301)
X = [random.randint(1, 1000) for _ in range(10)]
Z = [0,]*len(X)
for i in range(len(X)):
x = X[i]
z = prime_range(x) # Returns primes 0 <= p < x
if is_prime(x): # galois.primes() returns 0 <= p <= x
z.append(x)
Z[i] = [int(zz) for zz in z]
d = {"X": X, "Z": Z}
save_pickle(d, FOLDER, "primes.pkl")
set_seed(SEED + 302)
X = [random.randint(1, 1000) for _ in range(20)]
Z = [0,]*len(X)
for i in range(len(X)):
x = X[i]
z = nth_prime(x)
Z[i] = int(z)
d = {"X": X, "Z": Z}
save_pickle(d, FOLDER, "kth_prime.pkl")
def lfuncFEtex(L, fmt):
"""
Return the LaTex for displaying the Functional equation of the L-function L.
fmt could be any of the values: "analytic", "selberg"
"""
if fmt == "arithmetic":
mu_list = [mu - L.motivic_weight / 2 for mu in L.mu_fe]
nu_list = [nu - L.motivic_weight / 2 for nu in L.nu_fe]
mu_list.sort()
nu_list.sort()
texname = L.texname_arithmetic
try:
tex_name_s = L.texnamecompleteds_arithmetic
tex_name_1ms = L.texnamecompleted1ms_arithmetic
except AttributeError:
tex_name_s = L.texnamecompleteds
tex_name_1ms = L.texnamecompleted1ms
else:
mu_list = L.mu_fe[:]
nu_list = L.nu_fe[:]
texname = L.texname
tex_name_s = L.texnamecompleteds
tex_name_1ms = L.texnamecompleted1ms
ans = ""
if fmt == "arithmetic" or fmt == "analytic":
ans = r"\begin{aligned}" + tex_name_s + r"=\mathstrut &"
if L.level > 1:
if L.level >= 10**8 and not is_prime(int(L.level)):
ans += r"\left(%s\right)^{s/2}" % latex(L.level_factored)
else:
ans += latex(L.level) + "^{s/2}"
ans += r" \, "
def munu_str(factors_list, field):
assert field in [r"\R", r"\C"]
# set up to accommodate multiplicity of Gamma factors
old = ""
res = ""
curr_exp = 0
for elt in factors_list:
if elt == old:
curr_exp += 1
else:
old = elt
if curr_exp > 1:
res += "^{" + str(curr_exp) + "}"
if curr_exp > 0:
res += r" \, "
curr_exp = 1
res += (r"\Gamma_{" + field + "}(s" +
seriescoeff(elt, 0, "signed", "", 3) + ")")
if curr_exp > 1:
res += "^{" + str(curr_exp) + "}"
if res != "":
res += r" \, "
return res
ans += munu_str(mu_list, r"\R")
ans += munu_str(nu_list, r"\C")
ans += texname + r"\cr"
ans += r"=\mathstrut & "
if L.sign == 0:
ans += r"\epsilon \cdot "
else:
ans += seriescoeff(L.sign, 0, "factor", "", 3) + r"\,"
ans += tex_name_1ms
if L.sign == 0 and L.degree == 1:
ans += r"\quad (\text{with }\epsilon \text{ not computed})"
if L.sign == 0 and L.degree > 1:
ans += r"\quad (\text{with }\epsilon \text{ unknown})"
ans += r"\end{aligned}"
elif fmt == "selberg":
ans += "(" + str(int(L.degree)) + r",\ "
if L.level >= 10**8 and not is_prime(int(L.level)):
ans += latex(L.level_factored)
else:
ans += str(int(L.level))
ans += r",\ "
ans += "("
# this is mostly a hack for GL2 Maass forms
def real_digits(x):
return len(str(x).replace(".", "").lstrip("-").lstrip("0"))
def mu_fe_prec(x):
if L._Ltype == "maass":
return real_digits(imag_part(x))
else:
return 3
if L.mu_fe != []:
mus = [
display_complex(CDF(mu).real(),
CDF(mu).imag(),
mu_fe_prec(mu),
method="round") for mu in L.mu_fe
]
if len(mus) >= 6 and mus == [mus[0]] * len(mus):
ans += "[%s]^{%d}" % (mus[0], len(mus))
else:
ans += ", ".join(mus)
else:
ans += r"\ "
ans += ":"
if L.nu_fe != []:
if len(L.nu_fe) >= 6 and L.nu_fe == [L.nu_fe[0]] * len(L.nu_fe):
ans += "[%s]^{%d}" % (L.nu_fe[0], len(L.nu_fe))
else:
ans += ", ".join(map(str, L.nu_fe))
else:
ans += r"\ "
ans += r"),\ "
ans += seriescoeff(L.sign, 0, "literal", "", 3)
ans += ")"
return ans
n = A.ncols()
A = list(matrix(ZZ, A))
for i in range(n):
A.append([0]*i + [mod] + [0]*(n-i-1))
L = matrix(ZZ, A).LLL()
W1 = L*vector(ZZ, y)
W2 = vector([int(round(RR(w)/mod))*mod - w for w in W1])
return L.solve_right(W2) + y
if __name__ == "__main__":
test = 0
while True:
print ' Testing heterogenous LGS mod composite'
# from secrets import key
# p = 2**126
# p = 2**135
p = 21652247421304131782679331804390761485569
assert not is_prime(p)
Zp = Integers(p)
n = 40 # num vars
m = n-1 # num equations
x = vector([randrange(lo) for _ in range(n)])
A = matrix([[randrange(lo) for _ in range(n)] for _ in range(m)])
c = vector(ZZ,matrix(Zp,A)*x)
assert x == small_lgs2(A, c, p)
from sage.all import MatrixSpace, matrix, VectorSpace, vector, \
is_prime, GF
CHARSET = "abcdefghijklmnopqrstuvwxyz01345678{}_"
p = len(CHARSET)
assert is_prime(p)
Fp = GF(p)
def double_char_to_vector(s):
assert len(s) == 2
return vector(Fp, [CHARSET.index(s[0]), CHARSET.index(s[1])])
def vector_to_double_char(v):
assert len(v) == 2
return CHARSET[v[0]] + CHARSET[v[1]]
def encrypt(msg, K):
assert all(c in CHARSET for c in msg)
assert len(msg) % 2 == 0
A, v = K
ciphertext = ""
for i in range(0, len(msg), 2):
tmp = A * double_char_to_vector(msg[i:i + 2]) + v
ciphertext += vector_to_double_char(tmp)
return ciphertext
def B(M,m, algorithm='theorem',rec=True,dict=False):
if algorithm == 'bf':
return Bbf(M,m)
elif not algorithm == 'theorem':
raise ValueError('algorithm has to be one of "theorem" and "bf" (for brute force)')
Bs = list()
if not is_prime(m):
raise ValueError('m is supposed to be prime (general case: TODO)')
p = m
if isinstance(M,FiniteQuadraticModule_ambient):
sym_M = genus_symbol_string_to_dict(M.jordan_decomposition().genus_symbol())
elif isinstance(M, str):
if len(M)>0:
sym_M = genus_symbol_string_to_dict(M)
else:
sym_M = {}
else:
raise ValueError('M needs to be a "FiniteQuadraticModule" or a "str".')
if not sym_M.has_key(p):
sym_M[p]=list()
#print sym_M
#sym_M = get_genus_symbol_dict(M)
if p == 2:
sym_new = deepcopy(sym_M)
sym_new[p].append([1,2,7,0,0])
Bs.append(sym_new)
print sym_new, dict_to_genus_symbol_string(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].append([1,2,7,1,0])
Bs.append(sym_new)
print sym_new, dict_to_genus_symbol_string(sym_new)
for s in sym_M[p]:
print s
t=s[3]
print t
if rec:
for ss in sym_M[p]:
if t==1 and ss[0]==s[0]+1:
sym_new=deepcopy(sym_M)
sym_new[p].remove(s)
if s[2] in [1,5]:
s2n = s[2]+2
else:
s2n = s[2]-2
sym_new[p].append([s[0],s[1],s2n,s[3],(s[4]+2)%8])
sym_new[p].remove(ss)
if ss[2] in [1,5]:
ss2n = ss[2]+2
else:
ss2n = ss[2]-2
sym_new[p].append([ss[0],ss[1],ss2n,ss[3],(ss[4]+2)%8])
Br = B(dict_to_genus_symbol_string(sym_new),p,rec=False,dict=True)
print "Br=", B(dict_to_genus_symbol_string(sym_new),p,rec=False,dict=True)
Bs = Bs+Br
if s[1]>2 or t == 0 or t == None:
# q^+2 type II -> (2q)^+2 type II
if s[1] > 2 or s[4]==0:
print "rule q^+2 -> (2q)^+2"
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,7,0,0])
if s[1] > 2: sym_new[p].append([s[0],s[1]-2,-s[2],s[3],s[4]])
Bs.append(sym_new)
print dict_to_genus_symbol_string(sym_new)
# q^-2 -> (2q)_4^-2
if s[1] > 2 or s[4]==4:
print "rule q^-2 -> (2q)_4^-2"
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,3,1,4])
if s[1] > 2: sym_new[p].append([s[0],s[1]-2,(s[2]*3) % 8, s[3], (s[4]+4) % 8])
Bs.append(sym_new)
print sym_new, dict_to_genus_symbol_string(sym_new)
# q^+2 -> (2q)_0^+2
if s[1] > 2 or s[4]==0:
print "rule q^+2 -> (2q)_0^+2"
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,7,1,0])
if s[1] > 2: sym_new[p].append([s[0],s[1]-2,-s[2],s[3],s[4]])
Bs.append(sym_new)
print dict_to_genus_symbol_string(sym_new)
if t == 1:
print "t=1"
#rule for odd type, mult 1 power up
odds = [1,3,5,7]
for o in odds:
if (s[1] == 1 and (s[4]==o or s[0]==1 and s[4] % 8 == (o+4) %8)) \
or s[1]>3 \
or (s[1]==3 and not ((s[4]-o) % 8 ) in [4,6] and kronecker(s[2]*o,2) % 8 == 1) \
or (s[1]==2 and (s[4]-o) % 8 in odds):
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+2,1,o,1,o])
if s[1] > 1:
sym_new[p].append([s[0],s[1]-1,s[2]*o,1,(s[4]-o) % 8])
print dict_to_genus_symbol_string(sym_new)
Bs.append(sym_new)
print s[1]
if s[1] >= 2:
print s
if s[4] == 0 or (s[0]==1 and s[4]==4):
print "1,4"
print sym_M
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,7,0,0])
if s[1]>2:
sym_new[p].append([s[0],s[1]-2,(-s[2]) % 8, 1, s[4]])
Bs.append(sym_new)
print sym_new
print dict_to_genus_symbol_string(sym_new)
if s[4] == 4:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,3,0,4])
if s[1]>2:
sym_new[p].append([s[0],s[1]-2,(s[2]*3) % 8, 1, (s[4]-4)%8])
Bs.append(sym_new)
print sym_new
if s[1]>2 and s[1] % 2 == 0:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,s[2],0,s[4]])
sym_new[p].append([s[0],s[1]-2,0,0,0])
Bs.append(sym_new)
else:
ep = -1 if p % 4 == 3 else 1
if not sym_M.has_key(p):
sym_M[p]=list()
#rule 1+2 for triv p-module
sym_new = deepcopy(sym_M)
sym_new[p].append([2,1,1])
Bs.append(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].append([2,1,-1])
Bs.append(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].append([1,2,ep])
Bs.append(sym_new)
for s in sym_M[p]:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
#rule 1 (power+2, mult 1)
sym_new[p].append([s[0]+2,1,s[2]])
if s[1] > 1:
sym_new[p].append([s[0],s[1]-1,1])
Bs.append(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+2,1,-s[2]])
sym_new[p].append([s[0],s[1]-1,-1])
Bs.append(sym_new)
else:
Bs.append(sym_new)
#rule 2 (power+1, mult 2)
if s[1] >= 2:
if s[1]==2 and s[2]==ep:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,ep])
Bs.append(sym_new)
elif s[1]>2:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0]+1,2,ep])
sym_new[p].append([s[0],s[1]-2,ep*s[2]])
Bs.append(sym_new)
if dict:
return Bs
Bss = list()
for sym in Bs:
sym = reduce_symbol(sym)
sym = dict_to_genus_symbol_string(sym)
Bss.append(sym)
if p == 2:
Bs = list()
for s in Bss:
try:
FiniteQuadraticModule(s)
Bs.append(s)
except:
print "ERROR: ", s
Bss = Bs
print "Bs = ", Bs
#mods_uniq=list()
#for M in mods:
# seen = False
# for N in mods_uniq:
# if N.is_isomorphic(M):
# seen = True
# if not seen:
# mods_uniq.append(M)
#Bss = [M.jordan_decomposition().genus_symbol() for M in mods_uniq]
return Bss
def general_webpagedata(self):
info = {}
try:
info['support'] = self.support
except AttributeError:
info['support'] = ''
info['Ltype'] = self.Ltype()
try:
info['label'] = self.label
except AttributeError:
info['label'] = ""
try:
info['credit'] = self.credit
except AttributeError:
info['credit'] = ""
info['degree'] = int(self.degree)
info['conductor'] = self.level
if not is_prime(int(self.level)) and int(self.level) != 1:
if self.level >= 10**8:
info['conductor'] = latex(self.level_factored)
else:
info['conductor_factored'] = latex(self.level_factored)
if self.analytic_conductor:
info['analytic_conductor'] = display_float(
self.analytic_conductor,
6,
extra_truncation_digits=40,
latex=True)
info['root_analytic_conductor'] = display_float(
self.root_analytic_conductor,
6,
extra_truncation_digits=40,
latex=True)
else:
info['analytic_conductor'] = self.analytic_conductor
info['root_analytic_conductor'] = self.root_analytic_conductor
if self.rational is not None:
info['rational'] = 'yes' if self.rational else 'no'
info['sign'] = "$" + styleTheSign(self.sign) + "$"
info['algebraic'] = self.algebraic
info['arithmetic'] = 'yes' if self.arithmetic else 'no'
if self.selfdual:
info['selfdual'] = 'yes'
else:
info['selfdual'] = 'no'
if self.primitive:
info['primitive'] = 'yes'
else:
info['primitive'] = 'no'
info['dirichlet'] = lfuncDShtml(self, "analytic")
# Hack, fix this more general?
info['dirichlet'] = info['dirichlet'].replace('*I', '<em>i</em>')
info['eulerproduct'] = lfuncEPtex(self, "abstract")
info['functionalequation'] = lfuncFEtex(self, "analytic")
info['functionalequationSelberg'] = lfuncFEtex(self, "selberg")
if hasattr(self, 'positive_zeros'):
info['positive_zeros'] = self.positive_zeros
info['negative_zeros'] = self.negative_zeros
if hasattr(self, 'plot'):
info['plot'] = self.plot
if hasattr(self, 'factorization'):
info['factorization'] = self.factorization
if self.fromDB and self.algebraic:
info['dirichlet_arithmetic'] = lfuncDShtml(self, "arithmetic")
info['eulerproduct_arithmetic'] = lfuncEPtex(self, "arithmetic")
info['functionalequation_arithmetic'] = lfuncFEtex(
self, "arithmetic")
if self.motivic_weight % 2 == 0:
arith_center = "\\frac{" + str(1 +
self.motivic_weight) + "}{2}"
else:
arith_center = str(ZZ(1) / 2 + self.motivic_weight / 2)
svt_crit = specialValueTriple(self, 0.5, '\\frac12', arith_center)
info['sv_critical'] = svt_crit[0] + "\\ =\\ " + svt_crit[2]
info['sv_critical_analytic'] = [
svt_crit[0],
scientific_notation_helper(svt_crit[2])
]
info['sv_critical_arithmetic'] = [
svt_crit[1],
scientific_notation_helper(svt_crit[2])
]
if self.motivic_weight % 2 == 1:
arith_edge = "\\frac{" + str(2 + self.motivic_weight) + "}{2}"
else:
arith_edge = str(ZZ(1) + self.motivic_weight / 2)
svt_edge = specialValueTriple(self, 1, '1', arith_edge)
info['sv_edge'] = svt_edge[0] + "\\ =\\ " + svt_edge[2]
info['sv_edge_analytic'] = [
svt_edge[0],
scientific_notation_helper(svt_edge[2])
]
info['sv_edge_arithmetic'] = [
svt_edge[1],
scientific_notation_helper(svt_edge[2])
]
chilatex = r"$\chi_{" + str(self.charactermodulus) + "} (" + str(
self.characternumber) + r", \cdot )$"
info['chi'] = ''
if self.charactermodulus != self.level:
info['chi'] += "induced by "
info['chi'] += '<a href="' + url_for(
'characters.render_Dirichletwebpage',
modulus=self.charactermodulus,
number=self.characternumber)
info['chi'] += '">' + chilatex + '</a>'
info['st_group'] = self.st_group
info['st_link'] = self.st_link
info['rank'] = self.order_of_vanishing
info['motivic_weight'] = r'\(%d\)' % self.motivic_weight
elif self.Ltype() == "riemann":
info['sv_edge'] = r"\[\zeta(1) \approx $\infty$\]"
info['sv_critical'] = r"\[\zeta(1/2) \approx -1.460354508\]"
elif self.Ltype() != "artin" or (self.Ltype() == "artin"
and self.sign != 0):
try:
info['sv_edge'] = specialValueString(self, 1, '1')
info['sv_critical'] = specialValueString(self, 0.5, '1/2')
except Exception:
info['sv_critical'] = "L(1/2): not computed"
info['sv_edge'] = "L(1): not computed"
return info
def primes(self, primes, test=True):
self._primes = primes
if test:
for p in primes:
if not is_prime(p):
self._primes.remove(p)
def B(M, m, algorithm='theorem', rec=True, dict=False):
if algorithm == 'bf':
return Bbf(M, m)
elif not algorithm == 'theorem':
raise ValueError(
'algorithm has to be one of "theorem" and "bf" (for brute force)')
Bs = list()
if not is_prime(m):
raise ValueError('m is supposed to be prime (general case: TODO)')
p = m
if isinstance(M, FiniteQuadraticModule_ambient):
sym_M = genus_symbol_string_to_dict(
M.jordan_decomposition().genus_symbol())
elif isinstance(M, str):
if len(M) > 0:
sym_M = genus_symbol_string_to_dict(M)
else:
sym_M = {}
else:
raise ValueError('M needs to be a "FiniteQuadraticModule" or a "str".')
if not sym_M.has_key(p):
sym_M[p] = list()
#print sym_M
#sym_M = get_genus_symbol_dict(M)
if p == 2:
sym_new = deepcopy(sym_M)
sym_new[p].append([1, 2, 7, 0, 0])
Bs.append(sym_new)
print sym_new, dict_to_genus_symbol_string(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].append([1, 2, 7, 1, 0])
Bs.append(sym_new)
print sym_new, dict_to_genus_symbol_string(sym_new)
for s in sym_M[p]:
print s
t = s[3]
print t
if rec:
for ss in sym_M[p]:
if t == 1 and ss[0] == s[0] + 1:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
if s[2] in [1, 5]:
s2n = s[2] + 2
else:
s2n = s[2] - 2
sym_new[p].append(
[s[0], s[1], s2n, s[3], (s[4] + 2) % 8])
sym_new[p].remove(ss)
if ss[2] in [1, 5]:
ss2n = ss[2] + 2
else:
ss2n = ss[2] - 2
sym_new[p].append(
[ss[0], ss[1], ss2n, ss[3], (ss[4] + 2) % 8])
Br = B(dict_to_genus_symbol_string(sym_new),
p,
rec=False,
dict=True)
print "Br=", B(dict_to_genus_symbol_string(sym_new),
p,
rec=False,
dict=True)
Bs = Bs + Br
if s[1] > 2 or t == 0 or t == None:
# q^+2 type II -> (2q)^+2 type II
if s[1] > 2 or s[4] == 0:
print "rule q^+2 -> (2q)^+2"
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, 7, 0, 0])
if s[1] > 2:
sym_new[p].append([s[0], s[1] - 2, -s[2], s[3], s[4]])
Bs.append(sym_new)
print dict_to_genus_symbol_string(sym_new)
# q^-2 -> (2q)_4^-2
if s[1] > 2 or s[4] == 4:
print "rule q^-2 -> (2q)_4^-2"
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, 3, 1, 4])
if s[1] > 2:
sym_new[p].append([
s[0], s[1] - 2, (s[2] * 3) % 8, s[3],
(s[4] + 4) % 8
])
Bs.append(sym_new)
print sym_new, dict_to_genus_symbol_string(sym_new)
# q^+2 -> (2q)_0^+2
if s[1] > 2 or s[4] == 0:
print "rule q^+2 -> (2q)_0^+2"
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, 7, 1, 0])
if s[1] > 2:
sym_new[p].append([s[0], s[1] - 2, -s[2], s[3], s[4]])
Bs.append(sym_new)
print dict_to_genus_symbol_string(sym_new)
if t == 1:
print "t=1"
#rule for odd type, mult 1 power up
odds = [1, 3, 5, 7]
for o in odds:
if (s[1] == 1 and (s[4]==o or s[0]==1 and s[4] % 8 == (o+4) %8)) \
or s[1]>3 \
or (s[1]==3 and not ((s[4]-o) % 8 ) in [4,6] and kronecker(s[2]*o,2) % 8 == 1) \
or (s[1]==2 and (s[4]-o) % 8 in odds):
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 2, 1, o, 1, o])
if s[1] > 1:
sym_new[p].append(
[s[0], s[1] - 1, s[2] * o, 1, (s[4] - o) % 8])
print dict_to_genus_symbol_string(sym_new)
Bs.append(sym_new)
print s[1]
if s[1] >= 2:
print s
if s[4] == 0 or (s[0] == 1 and s[4] == 4):
print "1,4"
print sym_M
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, 7, 0, 0])
if s[1] > 2:
sym_new[p].append(
[s[0], s[1] - 2, (-s[2]) % 8, 1, s[4]])
Bs.append(sym_new)
print sym_new
print dict_to_genus_symbol_string(sym_new)
if s[4] == 4:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, 3, 0, 4])
if s[1] > 2:
sym_new[p].append([
s[0], s[1] - 2, (s[2] * 3) % 8, 1,
(s[4] - 4) % 8
])
Bs.append(sym_new)
print sym_new
if s[1] > 2 and s[1] % 2 == 0:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, s[2], 0, s[4]])
sym_new[p].append([s[0], s[1] - 2, 0, 0, 0])
Bs.append(sym_new)
else:
ep = -1 if p % 4 == 3 else 1
if not sym_M.has_key(p):
sym_M[p] = list()
#rule 1+2 for triv p-module
sym_new = deepcopy(sym_M)
sym_new[p].append([2, 1, 1])
Bs.append(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].append([2, 1, -1])
Bs.append(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].append([1, 2, ep])
Bs.append(sym_new)
for s in sym_M[p]:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
#rule 1 (power+2, mult 1)
sym_new[p].append([s[0] + 2, 1, s[2]])
if s[1] > 1:
sym_new[p].append([s[0], s[1] - 1, 1])
Bs.append(sym_new)
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 2, 1, -s[2]])
sym_new[p].append([s[0], s[1] - 1, -1])
Bs.append(sym_new)
else:
Bs.append(sym_new)
#rule 2 (power+1, mult 2)
if s[1] >= 2:
if s[1] == 2 and s[2] == ep:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, ep])
Bs.append(sym_new)
elif s[1] > 2:
sym_new = deepcopy(sym_M)
sym_new[p].remove(s)
sym_new[p].append([s[0] + 1, 2, ep])
sym_new[p].append([s[0], s[1] - 2, ep * s[2]])
Bs.append(sym_new)
if dict:
return Bs
Bss = list()
for sym in Bs:
sym = reduce_symbol(sym)
sym = dict_to_genus_symbol_string(sym)
Bss.append(sym)
if p == 2:
Bs = list()
for s in Bss:
try:
FiniteQuadraticModule(s)
Bs.append(s)
except:
print "ERROR: ", s
Bss = Bs
print "Bs = ", Bs
#mods_uniq=list()
#for M in mods:
# seen = False
# for N in mods_uniq:
# if N.is_isomorphic(M):
# seen = True
# if not seen:
# mods_uniq.append(M)
#Bss = [M.jordan_decomposition().genus_symbol() for M in mods_uniq]
return Bss
def general_webpagedata(self):
info = {}
try:
info['support'] = self.support
except AttributeError:
info['support'] = ''
info['Ltype'] = self.Ltype()
info['label'] = self.label
info['credit'] = self.credit
info['degree'] = int(self.degree)
info['conductor'] = self.level
if not is_prime(int(self.level)):
info['conductor_factored'] = latex(factor(int(self.level)))
info['sign'] = "$" + styleTheSign(self.sign) + "$"
info['algebraic'] = self.algebraic
if self.selfdual:
info['selfdual'] = 'yes'
else:
info['selfdual'] = 'no'
if self.primitive:
info['primitive'] = 'yes'
else:
info['primitive'] = 'no'
info['dirichlet'] = lfuncDShtml(self, "analytic")
# Hack, fix this more general?
info['dirichlet'] = info['dirichlet'].replace('*I','<em>i</em>')
info['eulerproduct'] = lfuncEPtex(self, "abstract")
info['functionalequation'] = lfuncFEtex(self, "analytic")
info['functionalequationSelberg'] = lfuncFEtex(self, "selberg")
if hasattr(self, 'positive_zeros'):
info['positive_zeros'] = self.positive_zeros
info['negative_zeros'] = self.negative_zeros
if hasattr(self, 'plot'):
info['plot'] = self.plot
if hasattr(self, 'factorization'):
info['factorization'] = self.factorization
if self.fromDB and self.algebraic:
info['dirichlet_arithmetic'] = lfuncDShtml(self, "arithmetic")
info['eulerproduct_arithmetic'] = lfuncEPtex(self, "arithmetic")
info['functionalequation_arithmetic'] = lfuncFEtex(self, "arithmetic")
if self.motivic_weight % 2 == 0:
arith_center = "\\frac{" + str(1 + self.motivic_weight) + "}{2}"
else:
arith_center = str(ZZ(1)/2 + self.motivic_weight/2)
svt_crit = specialValueTriple(self, 0.5, '\\frac12',arith_center)
info['sv_critical'] = svt_crit[0] + "\\ =\\ " + svt_crit[2]
info['sv_critical_analytic'] = [svt_crit[0], svt_crit[2]]
info['sv_critical_arithmetic'] = [svt_crit[1], svt_crit[2]]
if self.motivic_weight % 2 == 1:
arith_edge = "\\frac{" + str(2 + self.motivic_weight) + "}{2}"
else:
arith_edge = str(ZZ(1) + self.motivic_weight/2)
svt_edge = specialValueTriple(self, 1, '1',arith_edge)
info['sv_edge'] = svt_edge[0] + "\\ =\\ " + svt_edge[2]
info['sv_edge_analytic'] = [svt_edge[0], svt_edge[2]]
info['sv_edge_arithmetic'] = [svt_edge[1], svt_edge[2]]
info['st_group'] = self.st_group
info['st_link'] = self.st_link
info['rank'] = self.order_of_vanishing
info['motivic_weight'] = self.motivic_weight
elif self.Ltype() != "artin" or (self.Ltype() == "artin" and self.sign != 0):
try:
info['sv_edge'] = specialValueString(self, 1, '1')
info['sv_critical'] = specialValueString(self, 0.5, '1/2')
except:
info['sv_critical'] = "L(1/2): not computed"
info['sv_edge'] = "L(1): not computed"
return info
for i in range(m):
cs = [randrange(p) for _ in range(n-1)]
last_c = -sum(c*x for c, x in zip(cs, xs)) * inverse_mod(xs[-1], p)
cs.append(last_c % p)
assert sum(c*x for c, x in zip(cs, xs))%p == 0
A.append(cs)
A = matrix(ZZ, A)
assert xs == small_lgs(A, mod=p)
assert xs == small_lgs2(A, c=None, mod=p)
print ' Testing homogenous LGS modulo composite'
hi = 2**128
lo = 2**100
p = hi + 1
assert not is_prime(p)
n = 40 # num vars
m = 35 # num equations
xs = [randrange(lo) for _ in range(n)]
xs = vector(xs)
A = []
for i in range(m):
cs = [randrange(p) for _ in range(n-1)]
last_c = -sum(c*x for c, x in zip(cs, xs)) * inverse_mod(xs[-1], p)
cs.append(last_c % p)
assert sum(c*x for c, x in zip(cs, xs))%p == 0
A.append(cs)
A = matrix(ZZ, A)
import sys
import itertools
from sage.all import is_prime, factor
N = 32
J = 500
out = 'Case #1:\n'
found = 0
for i in itertools.product('01',repeat=N-2):
n = '1'+''.join(i)+'1'
l = []
for j in range(2,11):
if is_prime(int(n,j)):
break
l.append(str(factor(int(n,j))[0][0]))
else:
print("found",n,l)
out += '{} {}\n'.format(n,' '.join(l))
found += 1
if found >= J:
break
open('C.out','w').write(out)
def elliptic_curve_search(info, query):
parse_rational_to_list(info, query, 'jinv', 'j-invariant')
parse_ints(info, query, 'conductor')
if info.get('conductor_type'):
if info['conductor_type'] == 'prime':
query['num_bad_primes'] = 1
query['semistable'] = True
elif info['conductor_type'] == 'prime_power':
query['num_bad_primes'] = 1
elif info['conductor_type'] == 'squarefree':
query['semistable'] = True
elif info['conductor_type'] == 'divides':
if not isinstance(query.get('conductor'), int):
err = "You must specify a single conductor"
flash_error(err)
raise ValueError(err)
else:
query['conductor'] = {'$in': integer_divisors(ZZ(query['conductor']))}
parse_signed_ints(info, query, 'discriminant', qfield=('signD', 'absD'))
parse_ints(info,query,'rank')
parse_ints(info,query,'sha','analytic order of Ш')
parse_ints(info,query,'num_int_pts','num_int_pts')
parse_ints(info,query,'class_size','class_size')
if info.get('class_deg'):
parse_ints(info,query,'class_deg','class_deg')
if not isinstance(query.get('class_deg'), int):
err = "You must specify a single isogeny class degree"
flash_error(err)
raise ValueError(err)
parse_floats(info,query,'regulator','regulator')
parse_floats(info, query, 'faltings_height', 'faltings_height')
if info.get('reduction'):
if info['reduction'] == 'semistable':
query['semistable'] = True
elif info['reduction'] == 'not semistable':
query['semistable'] = False
elif info['reduction'] == 'potentially good':
query['potential_good_reduction'] = True
elif info['reduction'] == 'not potentially good':
query['potential_good_reduction'] = False
if info.get('torsion'):
if info['torsion'][0] == '[':
parse_bracketed_posints(info,query,'torsion',qfield='torsion_structure',maxlength=2,check_divisibility='increasing')
else:
parse_ints(info,query,'torsion')
# speed up slow torsion_structure searches by also setting torsion
#if 'torsion_structure' in query and not 'torsion' in query:
# query['torsion'] = reduce(mul,[int(n) for n in query['torsion_structure']],1)
if 'cm' in info:
if info['cm'] == 'noCM':
query['cm'] = 0
elif info['cm'] == 'CM':
query['cm'] = {'$ne' : 0}
else:
parse_ints(info,query,field='cm',qfield='cm')
parse_element_of(info,query,'isogeny_degrees',split_interval=200,contained_in=get_stats().isogeny_degrees)
parse_primes(info, query, 'nonmax_primes', name='non-maximal primes',
qfield='nonmax_primes', mode=info.get('nonmax_quantifier'), radical='nonmax_rad')
parse_primes(info, query, 'bad_primes', name='bad primes',
qfield='bad_primes',mode=info.get('bad_quantifier'))
parse_primes(info, query, 'sha_primes', name='sha primes',
qfield='sha_primes',mode=info.get('sha_quantifier'))
if info.get('galois_image'):
labels = [a.strip() for a in info['galois_image'].split(',')]
elladic_labels = [a for a in labels if elladic_image_label_regex.fullmatch(a) and is_prime_power(elladic_image_label_regex.match(a)[1])]
modell_labels = [a for a in labels if modell_image_label_regex.fullmatch(a) and is_prime(modell_image_label_regex.match(a)[1])]
if len(elladic_labels)+len(modell_labels) != len(labels):
err = "Unrecognized Galois image label, it should be the label of a subgroup of GL(2,Z_ell), such as %s, or the label of a subgroup of GL(2,F_ell), such as %s, or a list of such labels"
flash_error(err, "13.91.3.2", "13S4")
raise ValueError(err)
if elladic_labels:
query['elladic_images'] = {'$contains': elladic_labels}
if modell_labels:
query['modell_images'] = {'$contains': modell_labels}
if 'cm' not in query:
query['cm'] = 0
info['cm'] = "noCM"
if query['cm']:
# try to help the user out if they specify the normalizer of a Cartan in the CM case (these are either maximal or impossible
if any(a.endswith("Nn") for a in modell_labels) or any(a.endswith("Ns") for a in modell_labels):
err = "To search for maximal images, exclude non-maximal primes"
flash_error(err)
raise ValueError(err)
else:
# if the user specifies full mod-ell image with ell > 3, automatically exclude nonmax primes (if possible)
max_labels = [a for a in modell_labels if a.endswith("G") and int(modell_image_label_regex.match(a)[1]) > 3]
if max_labels:
if info.get('nonmax_primes') and info['nonmax_quantifier'] != 'exclude':
err = "To search for maximal images, exclude non-maximal primes"
flash_error(err)
raise ValueError(err)
else:
modell_labels = [a for a in modell_labels if a not in max_labels]
max_primes = [modell_image_label_regex.match(a)[1] for a in max_labels]
if info.get('nonmax_primes'):
max_primes += [l.strip() for l in info['nonmax_primes'].split(',') if not l.strip() in max_primes]
max_primes.sort(key=int)
info['nonmax_primes'] = ','.join(max_primes)
info['nonmax_quantifier'] = 'exclude'
parse_primes(info, query, 'nonmax_primes', name='non-maximal primes',
qfield='nonmax_primes', mode=info.get('nonmax_quantifier'), radical='nonmax_rad')
info['galois_image'] = ','.join(modell_labels + elladic_labels)
query['modell_images'] = { '$contains': modell_labels }
# The button which used to be labelled Optimal only no/yes"
# (default: no) has been renamed "Curves per isogeny class
# all/one" (default: all). When this option is "one" we only list
# one curve in each class, currently choosing the curve with
# minimal Faltings heights, which is conjecturally the
# Gamma_1(N)-optimal curve.
if 'optimal' in info and info['optimal'] == 'on':
query["__one_per__"] = "lmfdb_iso"
info['curve_ainvs'] = lambda dbc: str([ZZ(ai) for ai in dbc['ainvs']])
info['curve_url_LMFDB'] = lambda dbc: url_for(".by_triple_label", conductor=dbc['conductor'], iso_label=split_lmfdb_label(dbc['lmfdb_iso'])[1], number=dbc['lmfdb_number'])
info['iso_url_LMFDB'] = lambda dbc: url_for(".by_double_iso_label", conductor=dbc['conductor'], iso_label=split_lmfdb_label(dbc['lmfdb_iso'])[1])
info['cremona_bound'] = CREMONA_BOUND
info['curve_url_Cremona'] = lambda dbc: url_for(".by_ec_label", label=dbc['Clabel'])
info['iso_url_Cremona'] = lambda dbc: url_for(".by_ec_label", label=dbc['Ciso'])
info['FH'] = lambda dbc: RealField(20)(dbc['faltings_height'])
def lfuncFEtex(L, fmt):
""" Returns the LaTex for displaying the Functional equation of the L-function L.
fmt could be any of the values: "analytic", "selberg"
"""
if fmt == "arithmetic":
mu_list = [mu - L.motivic_weight/2 for mu in L.mu_fe]
nu_list = [nu - L.motivic_weight/2 for nu in L.nu_fe]
mu_list.sort()
nu_list.sort()
texname = L.texname_arithmetic
try:
tex_name_s = L.texnamecompleteds_arithmetic
tex_name_1ms = L.texnamecompleted1ms_arithmetic
except AttributeError:
tex_name_s = L.texnamecompleteds
tex_name_1ms = L.texnamecompleted1ms
else:
mu_list = L.mu_fe[:]
nu_list = L.nu_fe[:]
texname = L.texname
tex_name_s = L.texnamecompleteds
tex_name_1ms = L.texnamecompleted1ms
ans = ""
if fmt == "arithmetic" or fmt == "analytic":
ans = "\\begin{align}\n" + tex_name_s + "=\\mathstrut &"
if L.level > 1:
if L.level >= 10**8 and not is_prime(int(L.level)):
ans += r"\left(%s\right)^{s/2}" % latex(L.level_factored)
else:
ans += latex(L.level) + "^{s/2}"
ans += " \\, "
def munu_str(factors_list, field):
assert field in ['\R','\C']
# set up to accommodate multiplicity of Gamma factors
old = ""
res = ""
curr_exp = 0
for elt in factors_list:
if elt == old:
curr_exp += 1
else:
old = elt
if curr_exp > 1:
res += "^{" + str(curr_exp) + "}"
if curr_exp > 0:
res += " \\, "
curr_exp = 1
res += "\Gamma_{" + field + "}(s" + seriescoeff(elt, 0, "signed", "", 3) + ")"
if curr_exp > 1:
res += "^{" + str(curr_exp) + "}"
if res != "":
res += " \\, "
return res
ans += munu_str(mu_list, '\R')
ans += munu_str(nu_list, '\C')
ans += texname + "\\cr\n"
ans += "=\\mathstrut & "
if L.sign == 0:
ans += "\epsilon \cdot "
else:
ans += seriescoeff(L.sign, 0, "factor", "", 3) + "\\,"
ans += tex_name_1ms
if L.sign == 0 and L.degree == 1:
ans += "\quad (\\text{with }\epsilon \\text{ not computed})"
if L.sign == 0 and L.degree > 1:
ans += "\quad (\\text{with }\epsilon \\text{ unknown})"
ans += "\n\\end{align}\n"
elif fmt == "selberg":
ans += "(" + str(int(L.degree)) + ",\\ "
if L.level >= 10**8 and not is_prime(int(L.level)):
ans += latex(L.level_factored)
else:
ans += str(int(L.level))
ans += ",\\ "
ans += "("
# this is mostly a hack for GL2 Maass forms
def real_digits(x):
return len(str(x).replace('.','').lstrip('-').lstrip('0'))
def mu_fe_prec(x):
if L._Ltype == 'maass':
return real_digits(imag_part(x))
else:
return 3
if L.mu_fe != []:
mus = [ display_complex(CDF(mu).real(), CDF(mu).imag(), mu_fe_prec(mu), method="round" ) for mu in L.mu_fe ]
if len(mus) >= 6 and mus == [mus[0]]*len(mus):
ans += '[%s]^{%d}' % (mus[0], len(mus))
else:
ans += ", ".join(mus)
else:
ans += "\\ "
ans += ":"
if L.nu_fe != []:
if len(L.nu_fe) >= 6 and L.nu_fe == [L.nu_fe[0]]*len(L.nu_fe):
ans += '[%s]^{%d}' % (L.nu_fe[0], len(L.nu_fe))
else:
ans += ", ".join(map(str, L.nu_fe))
else:
ans += "\\ "
ans += "),\\ "
ans += seriescoeff(L.sign, 0, "literal", "", 3)
ans += ")"
return(ans)
def general_webpagedata(self):
info = {}
try:
info['support'] = self.support
except AttributeError:
info['support'] = ''
info['Ltype'] = self.Ltype()
info['label'] = self.label
info['credit'] = self.credit
info['degree'] = int(self.degree)
info['conductor'] = self.level
if not is_prime(int(self.level)):
info['conductor_factored'] = latex(factor(int(self.level)))
info['sign'] = "$" + styleTheSign(self.sign) + "$"
info['algebraic'] = self.algebraic
if self.selfdual:
info['selfdual'] = 'yes'
else:
info['selfdual'] = 'no'
if self.primitive:
info['primitive'] = 'yes'
else:
info['primitive'] = 'no'
info['dirichlet'] = lfuncDShtml(self, "analytic")
# Hack, fix this more general?
info['dirichlet'] = info['dirichlet'].replace('*I', '<em>i</em>')
info['eulerproduct'] = lfuncEPtex(self, "abstract")
info['functionalequation'] = lfuncFEtex(self, "analytic")
info['functionalequationSelberg'] = lfuncFEtex(self, "selberg")
if hasattr(self, 'positive_zeros'):
info['positive_zeros'] = self.positive_zeros
info['negative_zeros'] = self.negative_zeros
if hasattr(self, 'plot'):
info['plot'] = self.plot
if hasattr(self, 'factorization'):
info['factorization'] = self.factorization
if self.fromDB and self.algebraic:
info['dirichlet_arithmetic'] = lfuncDShtml(self, "arithmetic")
info['eulerproduct_arithmetic'] = lfuncEPtex(self, "arithmetic")
info['functionalequation_arithmetic'] = lfuncFEtex(
self, "arithmetic")
if self.motivic_weight % 2 == 0:
arith_center = "\\frac{" + str(1 +
self.motivic_weight) + "}{2}"
else:
arith_center = str(ZZ(1) / 2 + self.motivic_weight / 2)
svt_crit = specialValueTriple(self, 0.5, '\\frac12', arith_center)
info['sv_critical'] = svt_crit[0] + "\\ =\\ " + svt_crit[2]
info['sv_critical_analytic'] = [svt_crit[0], svt_crit[2]]
info['sv_critical_arithmetic'] = [svt_crit[1], svt_crit[2]]
if self.motivic_weight % 2 == 1:
arith_edge = "\\frac{" + str(2 + self.motivic_weight) + "}{2}"
else:
arith_edge = str(ZZ(1) + self.motivic_weight / 2)
svt_edge = specialValueTriple(self, 1, '1', arith_edge)
info['sv_edge'] = svt_edge[0] + "\\ =\\ " + svt_edge[2]
info['sv_edge_analytic'] = [svt_edge[0], svt_edge[2]]
info['sv_edge_arithmetic'] = [svt_edge[1], svt_edge[2]]
info['st_group'] = self.st_group
info['st_link'] = self.st_link
info['rank'] = self.order_of_vanishing
info['motivic_weight'] = self.motivic_weight
elif self.Ltype() != "artin" or (self.Ltype() == "artin"
and self.sign != 0):
try:
info['sv_edge'] = specialValueString(self, 1, '1')
info['sv_critical'] = specialValueString(self, 0.5, '1/2')
except:
info['sv_critical'] = "L(1/2): not computed"
info['sv_edge'] = "L(1): not computed"
return info