def getHmfData(label):
from lmfdb.hilbert_modular_forms.hilbert_modular_form import get_hmf, get_hmf_field
# return (None,None) if nothing is found i.e. if for does not exist in the database
f = get_hmf(label)
if f:
return (f, get_hmf_field(f['field_label']))
return (None, None)
def getHmfData(label):
from lmfdb.hilbert_modular_forms.hilbert_modular_form import get_hmf, get_hmf_field
# return (None,None) if nothing is found i.e. if for does not exist in the database
f = get_hmf(label)
if f:
return (f, get_hmf_field(f['field_label']))
return (None, None)
def find_curves(field_label='2.2.5.1',
min_norm=0,
max_norm=None,
label=None,
outfilename=None,
verbose=False,
effort=500):
r""" Go through all Hilbert Modular Forms with the given field label,
assumed totally real, for level norms in the given range, test
whether an elliptic curve exists with the same label; if not, find
the curves using Magma; output these to a file.
"""
print("Checking forms over {}, norms from {} to {}".format(
field_label, min_norm, max_norm))
if outfilename:
print("Output of curves found to {}".format(outfilename))
else:
print("No curve search or output, just checking")
query = {}
query['field_label'] = field_label
if not fields.exists({'label': field_label}):
if verbose:
print("No HMF data for field %s" % field_label)
return None
query['dimension'] = 1 # only look at rational newforms
if label:
print("looking for {} only".format(label))
query['short_label'] = label # e.g. '91.1-a'
else:
query['level_norm'] = {'$gte': int(min_norm)}
if max_norm:
query['level_norm']['$lte'] = int(max_norm)
cursor = forms.search(query, sort=['level_norm'])
labels = [f['label'] for f in cursor]
nfound = 0
nnotfound = 0
nok = 0
missing_curves = []
K = HilbertNumberField(field_label)
primes = [P['ideal'] for P in K.primes_iter(1000)]
curve_ap = {} # curve_ap[conductor_label] will be a dict iso -> ap
form_ap = {} # form_ap[conductor_label] will be a dict iso -> ap
# Step 1: look at all newforms, check that there is an elliptic
# curve of the same label, and if so compare ap-lists. The
# dicts curve_ap and form_ap store these when there is
# disagreement: e.g. curve_ap[conductor_label][iso_label] =
# aplist.
print("looping through {} forms".format(len(labels)))
for curve_label in labels:
# We find the forms again since otherwise the cursor might timeout during the loop.
f = get_hmf(curve_label)
ec = nfcurves.lucky({
'field_label': field_label,
'class_label': curve_label,
'number': 1
})
if ec:
if verbose:
print("curve with label %s found in the database" %
curve_label)
nfound += 1
ainvsK = parse_ainvs(K.K(), ec['ainvs'])
E = EllipticCurve(ainvsK)
if verbose:
print("constructed elliptic curve {}".format(E.ainvs()))
good_flags = [E.has_good_reduction(P) for P in primes]
good_primes = [P for (P, flag) in zip(primes, good_flags) if flag]
aplist = [E.reduction(P).trace_of_frobenius() for P in good_primes]
if verbose:
print("computed ap from elliptic curve")
f_aplist = [int(a) for a in f['hecke_eigenvalues']]
f_aplist = [ap for ap, flag in zip(f_aplist, good_flags) if flag]
if verbose:
print("recovered ap from HMF")
nap = min(len(aplist), len(f_aplist))
if aplist[:nap] == f_aplist[:nap]:
nok += 1
if verbose:
print("Curve {} and newform agree! (checked {} ap)".format(
ec['short_label'], nap))
else:
print("Curve {} does NOT agree with newform".format(
ec['short_label']))
if verbose:
for P, aPf, aPc in zip(good_primes[:nap], f_aplist[:nap],
aplist[:nap]):
if aPf != aPc:
print("P = {} with norm {}".format(
P,
P.norm().factor()))
print("ap from curve: %s" % aPc)
print("ap from form: %s" % aPf)
if not ec['conductor_label'] in curve_ap:
curve_ap[ec['conductor_label']] = {}
form_ap[ec['conductor_label']] = {}
curve_ap[ec['conductor_label']][ec['iso_label']] = aplist
form_ap[ec['conductor_label']][f['label_suffix']] = f_aplist
else:
if verbose:
print("No curve with label %s found in the database!" %
curve_label)
missing_curves.append(f['short_label'])
nnotfound += 1
# Report progress:
n = nfound + nnotfound
if nnotfound:
print(
"Out of %s newforms, %s curves were found in the database and %s were not found"
% (n, nfound, nnotfound))
else:
print(
"Out of %s newforms, all %s had curves with the same label and ap"
% (n, nfound))
if nfound == nok:
print("All curves agree with matching newforms")
else:
print("%s curves agree with matching newforms, %s do not" %
(nok, nfound - nok))
if nnotfound:
print("%s missing curves" % len(missing_curves))
else:
return
# Step 2: for each newform for which there was no curve, call interface to Magma's EllipticCurveSearch()
# (unless outfilename is None in which case just dump the missing labels to a file)
if outfilename:
outfile = open(outfilename, mode="w")
else:
t = open("curves_missing.{}".format(field_label), mode="w")
for c in missing_curves:
t.write(c)
t.write("\n")
t.close()
return
def output(L):
if outfilename:
outfile.write(L)
if verbose:
sys.stdout.write(L)
bad_p = []
#if field_label=='4.4.1600.1': bad_p = [7**2,13**2,29**2]
if field_label == '4.4.2304.1': bad_p = [19**2, 29**2]
if field_label == '4.4.4225.1': bad_p = [17**2, 23**2]
if field_label == '4.4.7056.1': bad_p = [29**2, 31**2]
if field_label == '4.4.7168.1': bad_p = [29**2]
if field_label == '4.4.9248.1': bad_p = [23**2]
if field_label == '4.4.11025.1': bad_p = [17**2, 37**2, 43**2]
if field_label == '4.4.13824.1': bad_p = [19**2]
if field_label == '4.4.12400.1': bad_p = [23**2]
if field_label == '4.4.180769.1': bad_p = [23**2]
if field_label == '6.6.905177.1': bad_p = [2**3]
bad_p = []
effort0 = effort
for nf_label in missing_curves:
if verbose:
print("Curve %s is missing from the database..." % nf_label)
form_label = field_label + "-" + nf_label
form = get_hmf(form_label)
if not form:
print("... form %s not found!" % nf_label)
else:
if verbose:
print("... found form, calling Magma search")
print("Conductor = %s" % form['level_ideal'].replace(" ", ""))
N = K.ideal(form['level_label'])
neigs = len(f['hecke_eigenvalues'])
Plist = [P['ideal'] for P in K.primes_iter(neigs)]
goodP = [(i, P) for i, P in enumerate(Plist)
if not P.divides(N) and not P.norm() in bad_p
and P.residue_class_degree() == 1]
aplist = [int(f['hecke_eigenvalues'][i]) for i, P in goodP]
Plist = [P for i, P in goodP]
nap = len(Plist)
neigs0 = min(nap, 100)
effort = effort0
if verbose:
print("Using %s ap from Hilbert newform and effort %s" %
(neigs0, effort))
if bad_p:
print("( excluding primes with norms {})".format(bad_p))
#inds = list(set([randint(0,nap-1) for _ in range(neigs0)]))
inds = range(neigs0)
Plist0 = [Plist[i] for i in inds]
aplist0 = [aplist[i] for i in inds]
curves = EllipticCurveSearch(K.K(), Plist0, N, aplist0, effort)
# rep = 0
allrep = 0
while not curves and allrep < 10:
allrep += 1
effort *= 2
# if rep<2:
# rep += 1
# else:
# rep = 1
# effort *=2
if verbose:
print(
"No curves found by Magma, trying again with effort %s..."
% effort)
curves = EllipticCurveSearch(K.K(), Plist0, N, aplist0, effort)
if verbose:
if curves:
print("Success!")
else:
print("Still no success")
E = None
if curves:
E = curves[0]
print("%s curves for %s found, first is %s" %
(len(curves), nf_label, E.ainvs()))
else:
print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
print("!!! No curves for %s found (using %s ap) !!!" %
(nf_label, len(aplist)))
print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
if E is not None:
ec = {}
ec['field_label'] = field_label
ec['conductor_label'] = form['level_label']
ec['iso_label'] = form['label_suffix']
ec['number'] = int(1)
ec['conductor_ideal'] = form['level_ideal'].replace(" ", "")
ec['conductor_norm'] = form['level_norm']
ai = E.ainvs()
ec['ainvs'] = ";".join(
[",".join([str(c) for c in list(a)]) for a in ai])
ec['cm'] = '?'
ec['base_change'] = []
output(make_curves_line(ec) + "\n")
if outfilename:
outfile.flush()
def find_curve_labels(field_label='2.2.5.1',
min_norm=0,
max_norm=None,
outfilename=None,
verbose=False,
effort=1000):
r""" Go through all Hilbert Modular Forms with the given field label,
assumed totally real, for level norms in the given range, test
whether an elliptic curve exists with the same label.
"""
query = {}
query['field_label'] = field_label
if fields.search({'label': field_label}).count() == 0:
if verbose:
print("No HMF data for field %s" % field_label)
return None
query['dimension'] = 1 # only look at rational newforms
query['level_norm'] = {'$gte': int(min_norm)}
if max_norm:
query['level_norm']['$lte'] = int(max_norm)
else:
max_norm = 'infinity'
cursor = forms.search(query, sort=['level_norm'])
labels = [f['label'] for f in cursor]
nfound = 0
nnotfound = 0
nok = 0
missing_curves = []
K = HilbertNumberField(field_label)
primes = [P['ideal'] for P in K.primes_iter()]
curve_ap = {} # curve_ap[conductor_label] will be a dict iso -> ap
form_ap = {} # form_ap[conductor_label] will be a dict iso -> ap
# Step 1: look at all newforms, check that there is an elliptic
# curve of the same label, and if so compare ap-lists. The
# dicts curve_ap and form_ap store these when there is
# disagreement: e.g. curve_ap[conductor_label][iso_label] =
# aplist.
for curve_label in labels:
# We find the forms again since otherwise the cursor might timeout during the loop.
f = get_hmf(curve_label)
ec = nfcurves.lucky({
'field_label': field_label,
'class_label': curve_label,
'number': 1
})
if ec:
if verbose:
print("curve with label %s found" % curve_label)
nfound += 1
ainvsK = parse_ainvs(K.K(), ec['ainvs'])
E = EllipticCurve(ainvsK)
good_flags = [E.has_good_reduction(P) for P in primes]
good_primes = [P for (P, flag) in zip(primes, good_flags) if flag]
aplist = [
E.reduction(P).trace_of_frobenius() for P in good_primes[:30]
]
f_aplist = [int(a) for a in f['hecke_eigenvalues'][:40]]
f_aplist = [ap for ap, flag in zip(f_aplist, good_flags)
if flag][:30]
if aplist == f_aplist:
nok += 1
if verbose:
print("Curve %s and newform agree!" % ec['short_label'])
else:
print("Curve %s does NOT agree with newform" %
ec['short_label'])
if verbose:
print("ap from curve: %s" % aplist)
print("ap from form: %s" % f_aplist)
if not ec['conductor_label'] in curve_ap:
curve_ap[ec['conductor_label']] = {}
form_ap[ec['conductor_label']] = {}
curve_ap[ec['conductor_label']][ec['iso_label']] = aplist
form_ap[ec['conductor_label']][f['label_suffix']] = f_aplist
else:
if verbose:
print("No curve with label %s found!" % curve_label)
missing_curves.append(f['short_label'])
nnotfound += 1
# Report progress:
n = nfound + nnotfound
if nnotfound:
print(
"Out of %s newforms, %s curves were found and %s were not found" %
(n, nfound, nnotfound))
else:
print(
"Out of %s newforms, all %s had curves with the same label and ap"
% (n, nfound))
if nfound == nok:
print("All curves agree with matching newforms")
else:
print("%s curves agree with matching newforms, %s do not" %
(nok, nfound - nok))
if nnotfound:
print("Missing curves: %s" % missing_curves)
else:
return
if outfilename is None:
return
# Step 2: for each newform for which there was no curve, create a
# Magma file containing code to search for such a curve.
# First output Magma code to define the field and primes:
output_magma_field(field_label, K.K(), primes, outfilename)
if verbose:
print("...output definition of field and primes finished")
for nf_label in missing_curves:
if verbose:
print("Curve %s is missing..." % nf_label)
form = forms.lucky({
'field_label': field_label,
'short_label': nf_label
})
if not form:
print("... form %s not found!" % nf_label)
else:
if verbose:
print("... found form, outputting Magma search code")
output_magma_curve_search(K,
form,
outfilename,
verbose=verbose,
effort=effort)
def check_curve_labels(field_label='2.2.5.1',
min_norm=0,
max_norm=None,
fix=False,
verbose=False):
r""" Go through all curves with the given field label, assumed totally
real, test whether a Hilbert Modular Form exists with the same
label.
"""
query = {}
query['field_label'] = field_label
query['number'] = 1 # only look at first curve in each isogeny class
query['conductor_norm'] = {'$gte': int(min_norm)}
if max_norm:
query['conductor_norm']['$lte'] = int(max_norm)
else:
max_norm = 'infinity'
cursor = nfcurves.search(query)
nfound = 0
nnotfound = 0
nok = 0
bad_curves = []
K = HilbertNumberField(field_label)
primes = [P['ideal'] for P in K.primes_iter(30)]
curve_ap = {} # curve_ap[conductor_label] will be a dict iso -> ap
form_ap = {} # form_ap[conductor_label] will be a dict iso -> ap
# Step 1: look at all curves (one per isogeny class), check that
# there is a Hilbert newform of the same label, and if so compare
# ap-lists. The dicts curve_ap and form_ap store these when
# there is disagreement:
# e.g. curve_ap[conductor_label][iso_label] = aplist.
for ec in cursor:
hmf_label = "-".join(
[ec['field_label'], ec['conductor_label'], ec['iso_label']])
f = get_hmf(hmf_label)
if f:
if verbose:
print("hmf with label %s found" % hmf_label)
nfound += 1
ainvsK = parse_ainvs(K.K(), ec['ainvs'])
E = EllipticCurve(ainvsK)
good_flags = [E.has_good_reduction(P) for P in primes]
good_primes = [P for (P, flag) in zip(primes, good_flags) if flag]
aplist = [
E.reduction(P).trace_of_frobenius() for P in good_primes[:10]
]
f_hecke = hecke.lucky({'label': hmf_label},
projection=['hecke_eigenvalues'])
f_aplist = [int(a) for a in f_hecke['hecke_eigenvalues'][:30]]
f_aplist = [ap for ap, flag in zip(f_aplist, good_flags)
if flag][:10]
if aplist == f_aplist:
nok += 1
if verbose:
print("Curve %s and newform agree!" % ec['short_label'])
else:
bad_curves.append(ec['short_label'])
print("Curve %s does NOT agree with newform" %
ec['short_label'])
if verbose:
print("ap from curve: %s" % aplist)
print("ap from form: %s" % f_aplist)
if not ec['conductor_label'] in curve_ap:
curve_ap[ec['conductor_label']] = {}
form_ap[ec['conductor_label']] = {}
curve_ap[ec['conductor_label']][ec['iso_label']] = aplist
form_ap[ec['conductor_label']][f['label_suffix']] = f_aplist
else:
if verbose:
print("No hmf with label %s found!" % hmf_label)
nnotfound += 1
# Report progress:
n = nfound + nnotfound
if nnotfound:
print("Out of %s forms, %s were found and %s were not found" %
(n, nfound, nnotfound))
else:
print(
"Out of %s classes of curve, all %s had newforms with the same label"
% (n, nfound))
if nfound == nok:
print("All curves agree with matching newforms")
else:
print("%s curves agree with matching newforms, %s do not" %
(nok, nfound - nok))
# print("Bad curves: %s" % bad_curves)
# Step 2: for each conductor_label for which there was a
# discrepancy, create a dict giving the permutation curve -->
# newform, so remap[conductor_label][iso_label] = form_label
remap = {}
for level in curve_ap.keys():
remap[level] = {}
c_dat = curve_ap[level]
f_dat = form_ap[level]
for a in c_dat.keys():
aplist = c_dat[a]
for b in f_dat.keys():
if aplist == f_dat[b]:
remap[level][a] = b
break
if verbose:
print("remap: %s" % remap)
# Step 3, for through all curves with these bad conductors and
# create new labels for them, update the database with these (if
# fix==True)
for level in remap.keys():
perm = remap[level]
print("Fixing iso labels for conductor %s using map %s" %
(level, perm))
query = {}
query['field_label'] = field_label
query['conductor_label'] = level
cursor = nfcurves.search(query)
for ec in cursor:
iso = ec['iso_label']
if iso in perm:
new_iso = perm[iso]
if verbose:
print("--mapping class %s to class %s" % (iso, new_iso))
num = str(ec['number'])
newlabeldata = {}
newlabeldata['iso_label'] = new_iso
newlabeldata['short_class_label'] = '-'.join([level, new_iso])
newlabeldata['class_label'] = '-'.join(
[field_label, newlabeldata['short_class_label']])
newlabeldata['short_label'] = ''.join(
[newlabeldata['short_class_label'], num])
newlabeldata['label'] = '-'.join(
[field_label, newlabeldata['short_label']])
if verbose:
print("new data fields: %s" % newlabeldata)
if fix:
nfcurves.update({'_id': ec['_id']}, {"$set": newlabeldata},
upsert=True)
def find_curves(field_label='2.2.5.1', min_norm=0, max_norm=None, label=None, outfilename=None, verbose=False, effort=500):
r""" Go through all Hilbert Modular Forms with the given field label,
assumed totally real, for level norms in the given range, test
whether an elliptic curve exists with the same label; if not, find
the curves using Magma; output these to a file.
"""
print("Checking forms over {}, norms from {} to {}".format(field_label,min_norm,max_norm))
if outfilename:
print("Output of curves found to {}".format(outfilename))
else:
print("No curve search or output, just checking")
query = {}
query['field_label'] = field_label
if not fields.exists({'label': field_label}):
if verbose:
print("No HMF data for field %s" % field_label)
return None
query['dimension'] = 1 # only look at rational newforms
if label:
print("looking for {} only".format(label))
query['short_label'] = label # e.g. '91.1-a'
else:
query['level_norm'] = {'$gte': int(min_norm)}
if max_norm:
query['level_norm']['$lte'] = int(max_norm)
cursor = forms.search(query, sort=['level_norm'])
labels = [f['label'] for f in cursor]
nfound = 0
nnotfound = 0
nok = 0
missing_curves = []
K = HilbertNumberField(field_label)
primes = [P['ideal'] for P in K.primes_iter(1000)]
curve_ap = {} # curve_ap[conductor_label] will be a dict iso -> ap
form_ap = {} # form_ap[conductor_label] will be a dict iso -> ap
# Step 1: look at all newforms, check that there is an elliptic
# curve of the same label, and if so compare ap-lists. The
# dicts curve_ap and form_ap store these when there is
# disagreement: e.g. curve_ap[conductor_label][iso_label] =
# aplist.
print("looping through {} forms".format(len(labels)))
for curve_label in labels:
# We find the forms again since otherwise the cursor might timeout during the loop.
f = get_hmf(curve_label)
ec = nfcurves.lucky({'field_label': field_label, 'class_label': curve_label, 'number': 1})
if ec:
if verbose:
print("curve with label %s found in the database" % curve_label)
nfound += 1
ainvsK = parse_ainvs(K.K(), ec['ainvs'])
E = EllipticCurve(ainvsK)
if verbose:
print("constructed elliptic curve {}".format(E.ainvs()))
good_flags = [E.has_good_reduction(P) for P in primes]
good_primes = [P for (P, flag) in zip(primes, good_flags) if flag]
aplist = [E.reduction(P).trace_of_frobenius() for P in good_primes]
if verbose:
print("computed ap from elliptic curve")
f_aplist = [int(a) for a in f['hecke_eigenvalues']]
f_aplist = [ap for ap, flag in zip(f_aplist, good_flags) if flag]
if verbose:
print("recovered ap from HMF")
nap = min(len(aplist), len(f_aplist))
if aplist[:nap] == f_aplist[:nap]:
nok += 1
if verbose:
print("Curve {} and newform agree! (checked {} ap)".format(ec['short_label'],nap))
else:
print("Curve {} does NOT agree with newform".format(ec['short_label']))
if verbose:
for P,aPf,aPc in zip(good_primes[:nap], f_aplist[:nap], aplist[:nap]):
if aPf!=aPc:
print("P = {} with norm {}".format(P,P.norm().factor()))
print("ap from curve: %s" % aPc)
print("ap from form: %s" % aPf)
if not ec['conductor_label'] in curve_ap:
curve_ap[ec['conductor_label']] = {}
form_ap[ec['conductor_label']] = {}
curve_ap[ec['conductor_label']][ec['iso_label']] = aplist
form_ap[ec['conductor_label']][f['label_suffix']] = f_aplist
else:
if verbose:
print("No curve with label %s found in the database!" % curve_label)
missing_curves.append(f['short_label'])
nnotfound += 1
# Report progress:
n = nfound + nnotfound
if nnotfound:
print("Out of %s newforms, %s curves were found in the database and %s were not found" % (n, nfound, nnotfound))
else:
print("Out of %s newforms, all %s had curves with the same label and ap" % (n, nfound))
if nfound == nok:
print("All curves agree with matching newforms")
else:
print("%s curves agree with matching newforms, %s do not" % (nok, nfound - nok))
if nnotfound:
print("%s missing curves" % len(missing_curves))
else:
return
# Step 2: for each newform for which there was no curve, call interface to Magma's EllipticCurveSearch()
# (unless outfilename is None in which case just dump the missing labels to a file)
if outfilename:
outfile = file(outfilename, mode="w")
else:
t = file("curves_missing.{}".format(field_label), mode="w")
for c in missing_curves:
t.write(c)
t.write("\n")
t.close()
return
def output(L):
if outfilename:
outfile.write(L)
if verbose:
sys.stdout.write(L)
bad_p = []
#if field_label=='4.4.1600.1': bad_p = [7**2,13**2,29**2]
if field_label=='4.4.2304.1': bad_p = [19**2,29**2]
if field_label=='4.4.4225.1': bad_p = [17**2,23**2]
if field_label=='4.4.7056.1': bad_p = [29**2,31**2]
if field_label=='4.4.7168.1': bad_p = [29**2]
if field_label=='4.4.9248.1': bad_p = [23**2]
if field_label=='4.4.11025.1': bad_p = [17**2,37**2,43**2]
if field_label=='4.4.13824.1': bad_p = [19**2]
if field_label=='4.4.12400.1': bad_p = [23**2]
if field_label=='4.4.180769.1': bad_p = [23**2]
if field_label=='6.6.905177.1': bad_p = [2**3]
bad_p = []
effort0 = effort
for nf_label in missing_curves:
if verbose:
print("Curve %s is missing from the database..." % nf_label)
form_label = field_label+"-"+nf_label
form = get_hmf(form_label)
if not form:
print("... form %s not found!" % nf_label)
else:
if verbose:
print("... found form, calling Magma search")
print("Conductor = %s" % form['level_ideal'].replace(" ",""))
N = K.ideal(form['level_label'])
neigs = len(f['hecke_eigenvalues'])
Plist = [P['ideal'] for P in K.primes_iter(neigs)]
goodP = [(i, P) for i, P in enumerate(Plist)
if not P.divides(N)
and not P.norm() in bad_p
and P.residue_class_degree()==1]
aplist = [int(f['hecke_eigenvalues'][i]) for i, P in goodP]
Plist = [P for i,P in goodP]
nap = len(Plist)
neigs0 = min(nap,100)
effort=effort0
if verbose:
print("Using %s ap from Hilbert newform and effort %s" % (neigs0,effort))
if bad_p:
print("( excluding primes with norms {})".format(bad_p))
#inds = list(set([randint(0,nap-1) for _ in range(neigs0)]))
inds = range(neigs0)
Plist0 = [Plist[i] for i in inds]
aplist0 = [aplist[i] for i in inds]
curves = EllipticCurveSearch(K.K(), Plist0, N, aplist0, effort)
# rep = 0
allrep=0
while not curves and allrep<10:
allrep += 1
effort*=2
# if rep<2:
# rep += 1
# else:
# rep = 1
# effort *=2
if verbose:
print("No curves found by Magma, trying again with effort %s..." % effort)
curves = EllipticCurveSearch(K.K(), Plist0, N, aplist0, effort)
if verbose:
if curves:
print("Success!")
else:
print("Still no success")
E = None
if curves:
E = curves[0]
print("%s curves for %s found, first is %s" % (len(curves),nf_label,E.ainvs()))
else:
print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
print("!!! No curves for %s found (using %s ap) !!!" % (nf_label,len(aplist)))
print("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
if E!=None:
ec = {}
ec['field_label'] = field_label
ec['conductor_label'] = form['level_label']
ec['iso_label'] = form['label_suffix']
ec['number'] = int(1)
ec['conductor_ideal'] = form['level_ideal'].replace(" ","")
ec['conductor_norm'] = form['level_norm']
ai = E.ainvs()
ec['ainvs'] = ";".join([",".join([str(c) for c in list(a)]) for a in ai])
ec['cm'] = '?'
ec['base_change'] = []
output(make_curves_line(ec) + "\n")
if outfilename:
outfile.flush()
def find_curve_labels(field_label='2.2.5.1', min_norm=0, max_norm=None, outfilename=None, verbose=False, effort=1000):
r""" Go through all Hilbert Modular Forms with the given field label,
assumed totally real, for level norms in the given range, test
whether an elliptic curve exists with the same label.
"""
query = {}
query['field_label'] = field_label
if fields.search({'label': field_label}).count() == 0:
if verbose:
print("No HMF data for field %s" % field_label)
return None
query['dimension'] = 1 # only look at rational newforms
query['level_norm'] = {'$gte': int(min_norm)}
if max_norm:
query['level_norm']['$lte'] = int(max_norm)
else:
max_norm = 'infinity'
cursor = forms.search(query, sort=['level_norm'])
labels = [f['label'] for f in cursor]
nfound = 0
nnotfound = 0
nok = 0
missing_curves = []
K = HilbertNumberField(field_label)
primes = [P['ideal'] for P in K.primes_iter()]
curve_ap = {} # curve_ap[conductor_label] will be a dict iso -> ap
form_ap = {} # form_ap[conductor_label] will be a dict iso -> ap
# Step 1: look at all newforms, check that there is an elliptic
# curve of the same label, and if so compare ap-lists. The
# dicts curve_ap and form_ap store these when there is
# disagreement: e.g. curve_ap[conductor_label][iso_label] =
# aplist.
for curve_label in labels:
# We find the forms again since otherwise the cursor might timeout during the loop.
f = get_hmf(curve_label)
ec = nfcurves.lucky({'field_label': field_label, 'class_label': curve_label, 'number': 1})
if ec:
if verbose:
print("curve with label %s found" % curve_label)
nfound += 1
ainvsK = parse_ainvs(K.K(), ec['ainvs'])
E = EllipticCurve(ainvsK)
good_flags = [E.has_good_reduction(P) for P in primes]
good_primes = [P for (P, flag) in zip(primes, good_flags) if flag]
aplist = [E.reduction(P).trace_of_frobenius() for P in good_primes[:30]]
f_aplist = [int(a) for a in f['hecke_eigenvalues'][:40]]
f_aplist = [ap for ap, flag in zip(f_aplist, good_flags) if flag][:30]
if aplist == f_aplist:
nok += 1
if verbose:
print("Curve %s and newform agree!" % ec['short_label'])
else:
print("Curve %s does NOT agree with newform" % ec['short_label'])
if verbose:
print("ap from curve: %s" % aplist)
print("ap from form: %s" % f_aplist)
if not ec['conductor_label'] in curve_ap:
curve_ap[ec['conductor_label']] = {}
form_ap[ec['conductor_label']] = {}
curve_ap[ec['conductor_label']][ec['iso_label']] = aplist
form_ap[ec['conductor_label']][f['label_suffix']] = f_aplist
else:
if verbose:
print("No curve with label %s found!" % curve_label)
missing_curves.append(f['short_label'])
nnotfound += 1
# Report progress:
n = nfound + nnotfound
if nnotfound:
print("Out of %s newforms, %s curves were found and %s were not found" % (n, nfound, nnotfound))
else:
print("Out of %s newforms, all %s had curves with the same label and ap" % (n, nfound))
if nfound == nok:
print("All curves agree with matching newforms")
else:
print("%s curves agree with matching newforms, %s do not" % (nok, nfound - nok))
if nnotfound:
print("Missing curves: %s" % missing_curves)
else:
return
if outfilename==None:
return
# Step 2: for each newform for which there was no curve, create a
# Magma file containing code to search for such a curve.
# First output Magma code to define the field and primes:
output_magma_field(field_label, K.K(), primes, outfilename)
if verbose:
print("...output definition of field and primes finished")
for nf_label in missing_curves:
if verbose:
print("Curve %s is missing..." % nf_label)
form = forms.lucky({'field_label': field_label, 'short_label': nf_label})
if not form:
print("... form %s not found!" % nf_label)
else:
if verbose:
print("... found form, outputting Magma search code")
output_magma_curve_search(K, form, outfilename, verbose=verbose, effort=effort)
def check_curve_labels(field_label='2.2.5.1', min_norm=0, max_norm=None, fix=False, verbose=False):
r""" Go through all curves with the given field label, assumed totally
real, test whether a Hilbert Modular Form exists with the same
label.
"""
query = {}
query['field_label'] = field_label
query['number'] = 1 # only look at first curve in each isogeny class
query['conductor_norm'] = {'$gte': int(min_norm)}
if max_norm:
query['conductor_norm']['$lte'] = int(max_norm)
else:
max_norm = 'infinity'
cursor = nfcurves.search(query)
nfound = 0
nnotfound = 0
nok = 0
bad_curves = []
K = HilbertNumberField(field_label)
primes = [P['ideal'] for P in K.primes_iter(30)]
curve_ap = {} # curve_ap[conductor_label] will be a dict iso -> ap
form_ap = {} # form_ap[conductor_label] will be a dict iso -> ap
# Step 1: look at all curves (one per isogeny class), check that
# there is a Hilbert newform of the same label, and if so compare
# ap-lists. The dicts curve_ap and form_ap store these when
# there is disagreement:
# e.g. curve_ap[conductor_label][iso_label] = aplist.
for ec in cursor:
hmf_label = "-".join([ec['field_label'], ec['conductor_label'], ec['iso_label']])
f = get_hmf(hmf_label)
if f:
if verbose:
print("hmf with label %s found" % hmf_label)
nfound += 1
ainvsK = parse_ainvs(K.K(), ec['ainvs'])
E = EllipticCurve(ainvsK)
good_flags = [E.has_good_reduction(P) for P in primes]
good_primes = [P for (P, flag) in zip(primes, good_flags) if flag]
aplist = [E.reduction(P).trace_of_frobenius() for P in good_primes[:10]]
f_hecke = hecke.lucky({'label': hmf_label}, projection=['hecke_eigenvalues'])
f_aplist = [int(a) for a in f_hecke['hecke_eigenvalues'][:30]]
f_aplist = [ap for ap, flag in zip(f_aplist, good_flags) if flag][:10]
if aplist == f_aplist:
nok += 1
if verbose:
print("Curve %s and newform agree!" % ec['short_label'])
else:
bad_curves.append(ec['short_label'])
print("Curve %s does NOT agree with newform" % ec['short_label'])
if verbose:
print("ap from curve: %s" % aplist)
print("ap from form: %s" % f_aplist)
if not ec['conductor_label'] in curve_ap:
curve_ap[ec['conductor_label']] = {}
form_ap[ec['conductor_label']] = {}
curve_ap[ec['conductor_label']][ec['iso_label']] = aplist
form_ap[ec['conductor_label']][f['label_suffix']] = f_aplist
else:
if verbose:
print("No hmf with label %s found!" % hmf_label)
nnotfound += 1
# Report progress:
n = nfound + nnotfound
if nnotfound:
print("Out of %s forms, %s were found and %s were not found" % (n, nfound, nnotfound))
else:
print("Out of %s classes of curve, all %s had newforms with the same label" % (n, nfound))
if nfound == nok:
print("All curves agree with matching newforms")
else:
print("%s curves agree with matching newforms, %s do not" % (nok, nfound - nok))
# print("Bad curves: %s" % bad_curves)
# Step 2: for each conductor_label for which there was a
# discrepancy, create a dict giving the permutation curve -->
# newform, so remap[conductor_label][iso_label] = form_label
remap = {}
for level in curve_ap.keys():
remap[level] = {}
c_dat = curve_ap[level]
f_dat = form_ap[level]
for a in c_dat.keys():
aplist = c_dat[a]
for b in f_dat.keys():
if aplist == f_dat[b]:
remap[level][a] = b
break
if verbose:
print("remap: %s" % remap)
# Step 3, for through all curves with these bad conductors and
# create new labels for them, update the database with these (if
# fix==True)
for level in remap.keys():
perm = remap[level]
print("Fixing iso labels for conductor %s using map %s" % (level, perm))
query = {}
query['field_label'] = field_label
query['conductor_label'] = level
cursor = nfcurves.search(query)
for ec in cursor:
iso = ec['iso_label']
if iso in perm:
new_iso = perm[iso]
if verbose:
print("--mapping class %s to class %s" % (iso, new_iso))
num = str(ec['number'])
newlabeldata = {}
newlabeldata['iso_label'] = new_iso
newlabeldata['short_class_label'] = '-'.join([level, new_iso])
newlabeldata['class_label'] = '-'.join([field_label,
newlabeldata['short_class_label']])
newlabeldata['short_label'] = ''.join([newlabeldata['short_class_label'], num])
newlabeldata['label'] = '-'.join([field_label,
newlabeldata['short_label']])
if verbose:
print("new data fields: %s" % newlabeldata)
if fix:
nfcurves.update({'_id': ec['_id']}, {"$set": newlabeldata}, upsert=True)
