Exemple #1
0
def curves(line):
    r""" Parses one line from a curves file.  Returns the label and a dict
    containing fields with keys 'field_label', 'degree', 'signature',
    'abs_disc', 'label', 'short_label', conductor_label',
    'conductor_ideal', 'conductor_norm', 'iso_label', 'iso_nlabel', 'number',
    'ainvs', 'jinv', 'cm', 'q_curve', 'base_change',
    'torsion_order', 'torsion_structure', 'torsion_gens'.

    Input line fields (13):

    field_label conductor_label iso_label number conductor_ideal conductor_norm a1 a2 a3 a4 a6 cm base_change

    Sample input line:

    2.0.4.1 65.18.1 a 1 [65,18,1] 65 1,1 1,1 0,1 -1,1 -1,0 0 0
    """
    # Parse the line and form the full label:
    data = split(line)
    if len(data) != 13:
        print "line %s does not have 13 fields, skipping" % line
    field_label = data[0]  # string
    conductor_label = data[1]  # string
    iso_label = data[2]  # string
    iso_nlabel = numerify_iso_label(iso_label)  # int
    number = int(data[3])  # int
    short_class_label = "%s-%s" % (conductor_label, iso_label)
    short_label = "%s%s" % (short_class_label, str(number))
    class_label = "%s-%s" % (field_label, short_class_label)
    label = "%s-%s" % (field_label, short_label)

    conductor_ideal = data[4]  # string
    conductor_norm = int(data[5])  # int
    ainvs = data[6:11]  # list of 5 NFelt strings
    cm = data[11]  # int or '?'
    if cm != '?':
        cm = int(cm)
    q_curve = (data[12] == '1')  # bool

    # Create the field and curve to compute the j-invariant:
    dummy, deg, sig, abs_disc = field_data(field_label)
    K = nf_lookup(field_label)
    ainvsK = [parse_NFelt(K, ai) for ai in ainvs]  # list of K-elements
    ainvs = [[str(c) for c in ai] for ai in ainvsK]
    E = EllipticCurve(ainvsK)
    j = E.j_invariant()
    jinv = K_list(j)
    if cm == '?':
        cm = get_cm(j)
        if cm:
            print "cm=%s for j=%s" % (cm, j)

    # Here we should check that the conductor of the constructed curve
    # agrees with the input conductor.  We just check the norm.
    if E.conductor().norm() == conductor_norm:
        pass
        # print "Conductor norms agree: %s" % conductor_norm
    else:
        raise RuntimeError("Wrong conductor for input line %s" % line)

    # get torsion order, structure and generators:
    # print("E = %s over %s" % (ainvsK,K))
    torgroup = E.torsion_subgroup()
    # print("torsion = %s" % torgroup)
    ntors = int(torgroup.order())
    torstruct = [int(n) for n in list(torgroup.invariants())]
    torgens = [point_list(P.element()) for P in torgroup.gens()]

    # get label of elliptic curve over Q for base_change cases (a
    # subset of Q-curves)

    if q_curve:
        # print "%s is a Q-curve, testing for base-change..." % label
        E1list = E.descend_to(QQ)
        if len(E1list):
            base_change = [cremona_to_lmfdb(E1.label()) for E1 in E1list]
            print "%s is base change of %s" % (label, base_change)
        else:
            base_change = []
            print "%s is a Q-curve, but not base-change..." % label
    else:
        base_change = []

    return label, {
        'field_label': field_label,
        'degree': deg,
        'signature': sig,
        'abs_disc': abs_disc,
        'class_label': class_label,
        'short_class_label': short_class_label,
        'label': label,
        'short_label': short_label,
        'conductor_label': conductor_label,
        'conductor_ideal': conductor_ideal,
        'conductor_norm': conductor_norm,
        'iso_label': iso_label,
        'iso_nlabel': iso_nlabel,
        'number': number,
        'ainvs': ainvs,
        'jinv': jinv,
        'cm': cm,
        'q_curve': q_curve,
        'base_change': base_change,
        'torsion_order': ntors,
        'torsion_structure': torstruct,
        'torsion_gens': torgens,
    }
Exemple #2
0
def curves(line):
    r""" Parses one line from a curves file.  Returns the label and a dict
    containing fields with keys 'field_label', 'degree', 'signature',
    'abs_disc', 'label', 'short_label', conductor_label',
    'conductor_ideal', 'conductor_norm', 'iso_label', 'number',
    'ainvs', 'jinv', 'cm', 'q_curve', 'base_change',
    'torsion_order', 'torsion_structure', 'torsion_gens'.

    Input line fields (13):

    field_label conductor_label iso_label number conductor_ideal conductor_norm a1 a2 a3 a4 a6 cm base_change

    Sample input line:

    2.0.4.1 [65,18,1] a 1 [65,18,1] 65 1,1 1,1 0,1 -1,1 -1,0 0 0
    """
    # Parse the line and form the full label:
    data = split(line)
    if len(data)!=13:
        print "line %s does not have 13 fields, skipping" % line
    field_label = data[0]       # string
    conductor_label = data[1]   # string
    iso_label = data[2]         # string
    number = int(data[3])       # int
    short_class_label = "%s-%s" % (conductor_label, iso_label)
    short_label = "%s%s" % (short_class_label, str(number))
    class_label = "%s-%s" % (field_label, short_class_label)
    label = "%s-%s" % (field_label, short_label)

    conductor_ideal = data[4]     # string
    conductor_norm = int(data[5]) # int
    ainvs = data[6:11]            # list of 5 NFelt strings
    cm = data[11]                 # int or '?'
    if cm!='?':
        cm = int(cm)
    q_curve = (data[12]=='1')   # bool

    # Create the field and curve to compute the j-invariant:
    dummy, deg, sig, abs_disc = field_data(field_label)
    K = nf_lookup(field_label)
    ainvsK = [parse_NFelt(K,ai) for ai in ainvs] # list of K-elements
    ainvs = [[str(c) for c in ai] for ai in ainvsK]
    E = EllipticCurve(ainvsK)
    j = E.j_invariant()
    jinv = K_list(j)
    if cm=='?':
        cm = get_cm(j)
        if cm:
            print "cm=%s for j=%s" %(cm,j)

    # Here we should check that the conductor of the constructed curve
    # agrees with the input conductor.  We just check the norm.
    if E.conductor().norm()==conductor_norm:
        pass
        #print "Conductor norms agree: %s" % conductor_norm
    else:
        raise RuntimeError("Wrong conductor for input line %s" % line)

    # get torsion order, structure and generators:
    #print("E = %s over %s" % (ainvsK,K))
    torgroup = E.torsion_subgroup()
    #print("torsion = %s" % torgroup)
    ntors = int(torgroup.order())
    torstruct = [int(n) for n in list(torgroup.invariants())]
    torgens = [point_list(P.element()) for P in torgroup.gens()]

    # get label of elliptic curve over Q for base_change cases (a
    # subset of Q-curves)

    if q_curve:
        #print "%s is a Q-curve, testing for base-change..." % label
        E1list = E.descend_to(QQ)
        if len(E1list):
            base_change = [cremona_to_lmfdb(E1.label()) for E1 in E1list]
            print "%s is base change of %s" % (label,base_change)
        else:
            base_change = []
            print "%s is a Q-curve, but not base-change..." % label
    else:
        base_change = []

    return label, {
        'field_label' : field_label,
        'degree': deg,
        'signature': sig,
        'abs_disc': abs_disc,
        'class_label': class_label,
        'short_class_label': short_class_label,
        'label': label,
        'short_label': short_label,
        'conductor_label': conductor_label,
        'conductor_ideal': conductor_ideal,
        'conductor_norm': conductor_norm,
        'iso_label': iso_label,
        'number': number,
        'ainvs': ainvs,
        'jinv': jinv,
        'cm': cm,
        'q_curve': q_curve,
        'base_change': base_change,
        'torsion_order': ntors,
        'torsion_structure': torstruct,
        'torsion_gens': torgens,
        }
Exemple #3
0
def curves(line, verbose=False):
    r""" Parses one line from a curves file.  Returns the label and a dict
    containing fields with keys 'field_label', 'degree', 'signature',
    'abs_disc', 'label', 'short_label', conductor_label',
    'conductor_ideal', 'conductor_norm', 'iso_label', 'iso_nlabel',
    'number', 'ainvs', 'jinv', 'cm', 'q_curve', 'base_change',
    'torsion_order', 'torsion_structure', 'torsion_gens'; and (added
    May 2016): 'equation', 'local_data', 'non_min_p', 'minD'

    Input line fields (13):

    field_label conductor_label iso_label number conductor_ideal conductor_norm a1 a2 a3 a4 a6 cm base_change

    Sample input line:

    2.0.4.1 65.18.1 a 1 [65,18,1] 65 1,1 1,1 0,1 -1,1 -1,0 0 0
    """
    # Parse the line and form the full label:
    data = split(line)
    if len(data) != 13:
        print "line %s does not have 13 fields, skipping" % line
    field_label = data[0]  # string
    IQF_flag = field_label.split(".")[:2] == ['2', '0']
    K = nf_lookup(field_label) if IQF_flag else None
    conductor_label = data[1]  # string
    # convert label (does nothing except for imaginary quadratic)
    conductor_label = convert_conductor_label(field_label, conductor_label)
    iso_label = data[2]  # string
    iso_nlabel = numerify_iso_label(iso_label)  # int
    number = int(data[3])  # int
    short_class_label = "%s-%s" % (conductor_label, iso_label)
    short_label = "%s%s" % (short_class_label, str(number))
    class_label = "%s-%s" % (field_label, short_class_label)
    label = "%s-%s" % (field_label, short_label)

    conductor_ideal = data[4]  # string
    conductor_norm = int(data[5])  # int
    ainvs = ";".join(data[6:11])  # one string joining 5 NFelt strings
    cm = data[11]  # int or '?'
    if cm != '?':
        cm = int(cm)

    # Create the field and curve to compute the j-invariant:
    dummy, deg, sig, abs_disc = field_data(field_label)
    K = nf_lookup(field_label)
    #print("Field %s created, gen_name = %s" % (field_label,str(K.gen())))
    ainvsK = parse_ainvs(K, ainvs)  # list of K-elements
    E = EllipticCurve(ainvsK)
    #print("{} created with disc = {}, N(disc)={}".format(E,K.ideal(E.discriminant()).factor(),E.discriminant().norm().factor()))
    j = E.j_invariant()
    jinv = NFelt(j)
    if cm == '?':
        cm = get_cm(j)
        if cm:
            print "cm=%s for j=%s" % (cm, j)

    q_curve = data[12]  # 0, 1 or ?.  If unknown we'll determine this below.
    if q_curve in ['0', '1']:  # already set -- easy
        q_curve = bool(int(q_curve))
    else:
        try:
            q_curve = is_Q_curve(E)
        except NotImplementedError:
            q_curve = '?'

    # Here we should check that the conductor of the constructed curve
    # agrees with the input conductor.
    N = ideal_from_string(K, conductor_ideal)
    NE = E.conductor()
    if N == "wrong" or N != NE:
        print(
            "Wrong conductor ideal {} for label {}, using actual conductor {} instead"
            .format(conductor_ideal, label, NE))
        conductor_ideal = ideal_to_string(NE)
        N = NE

    # get torsion order, structure and generators:
    torgroup = E.torsion_subgroup()
    ntors = int(torgroup.order())
    torstruct = [int(n) for n in list(torgroup.invariants())]
    torgens = [point_string(P.element()) for P in torgroup.gens()]

    # get label of elliptic curve over Q for base_change cases (a
    # subset of Q-curves)

    if True:  # q_curve: now we have not precomputed Q-curve status
        # but still want to test for base change!
        if verbose:
            print("testing {} for base-change...".format(label))
        E1list = E.descend_to(QQ)
        if len(E1list):
            base_change = [cremona_to_lmfdb(E1.label()) for E1 in E1list]
            if verbose:
                print "%s is base change of %s" % (label, base_change)
        else:
            base_change = []
            # print "%s is a Q-curve, but not base-change..." % label
    else:
        base_change = []

    # NB if this is not a global minimal model then local_data may
    # include a prime at which we have good reduction.  This causes no
    # problems except that the bad_reduction_type is then None which
    # cannot be converted to an integer.  The bad reduction types are
    # coded as (Sage) integers in {-1,0,1}.
    local_data = [{
        'p':
        ideal_to_string(ld.prime()),
        'normp':
        str(ld.prime().norm()),
        'ord_cond':
        int(ld.conductor_valuation()),
        'ord_disc':
        int(ld.discriminant_valuation()),
        'ord_den_j':
        int(max(0, -(E.j_invariant().valuation(ld.prime())))),
        'red':
        None
        if ld.bad_reduction_type() == None else int(ld.bad_reduction_type()),
        'kod':
        web_latex(ld.kodaira_symbol()).replace('$', ''),
        'cp':
        int(ld.tamagawa_number())
    } for ld in E.local_data()]

    non_minimal_primes = [ideal_to_string(P) for P in E.non_minimal_primes()]
    minD = ideal_to_string(E.minimal_discriminant_ideal())

    edata = {
        'field_label': field_label,
        'degree': deg,
        'signature': sig,
        'abs_disc': abs_disc,
        'class_label': class_label,
        'short_class_label': short_class_label,
        'label': label,
        'short_label': short_label,
        'conductor_label': conductor_label,
        'conductor_ideal': conductor_ideal,
        'conductor_norm': conductor_norm,
        'iso_label': iso_label,
        'iso_nlabel': iso_nlabel,
        'number': number,
        'ainvs': ainvs,
        'jinv': jinv,
        'cm': cm,
        'q_curve': q_curve,
        'base_change': base_change,
        'torsion_order': ntors,
        'torsion_structure': torstruct,
        'torsion_gens': torgens,
        'equation': web_latex(E),
        'local_data': local_data,
        'minD': minD,
        'non_min_p': non_minimal_primes,
    }

    return label, edata
Exemple #4
0
def curves(line, verbose=False):
    r""" Parses one line from a curves file.  Returns the label and a dict
    containing fields with keys 'field_label', 'degree', 'signature',
    'abs_disc', 'label', 'short_label', conductor_label',
    'conductor_ideal', 'conductor_norm', 'iso_label', 'iso_nlabel',
    'number', 'ainvs', 'jinv', 'cm', 'q_curve', 'base_change',
    'torsion_order', 'torsion_structure', 'torsion_gens'; and (added
    May 2016): 'equation', 'local_data', 'non_min_p', 'minD'

    Input line fields (13):

    field_label conductor_label iso_label number conductor_ideal conductor_norm a1 a2 a3 a4 a6 cm base_change

    Sample input line:

    2.0.4.1 65.18.1 a 1 [65,18,1] 65 1,1 1,1 0,1 -1,1 -1,0 0 0
    """
    # Parse the line and form the full label:
    data = split(line)
    if len(data) != 13:
        print "line %s does not have 13 fields, skipping" % line
    field_label = data[0]       # string
    IQF_flag = field_label.split(".")[:2] == ['2','0']
    K = nf_lookup(field_label) if IQF_flag else None
    conductor_label = data[1]   # string
    # convert label (does nothing except for imaginary quadratic)
    conductor_label = convert_conductor_label(field_label, conductor_label)
    iso_label = data[2]         # string
    iso_nlabel = numerify_iso_label(iso_label)         # int
    number = int(data[3])       # int
    short_class_label = "%s-%s" % (conductor_label, iso_label)
    short_label = "%s%s" % (short_class_label, str(number))
    class_label = "%s-%s" % (field_label, short_class_label)
    label = "%s-%s" % (field_label, short_label)

    conductor_ideal = data[4]     # string
    conductor_norm = int(data[5]) # int
    ainvs = ";".join(data[6:11])  # one string joining 5 NFelt strings
    cm = data[11]                 # int or '?'
    if cm != '?':
        cm = int(cm)
    q_curve = (data[12] == '1')   # bool

    # Create the field and curve to compute the j-invariant:
    dummy, deg, sig, abs_disc = field_data(field_label)
    K = nf_lookup(field_label)
    #print("Field %s created, gen_name = %s" % (field_label,str(K.gen())))
    ainvsK = parse_ainvs(K,ainvs)  # list of K-elements
    E = EllipticCurve(ainvsK)
    #print("{} created with disc = {}, N(disc)={}".format(E,K.ideal(E.discriminant()).factor(),E.discriminant().norm().factor()))
    j = E.j_invariant()
    jinv = NFelt(j)
    if cm == '?':
        cm = get_cm(j)
        if cm:
            print "cm=%s for j=%s" % (cm, j)

    # Here we should check that the conductor of the constructed curve
    # agrees with the input conductor.
    N = ideal_from_string(K,conductor_ideal)
    NE = E.conductor()
    if N=="wrong" or N!=NE:
        print("Wrong conductor ideal {} for label {}, using actual conductor {} instead".format(conductor_ideal,label,NE))
        conductor_ideal = ideal_to_string(NE)
        N = NE

    # get torsion order, structure and generators:
    torgroup = E.torsion_subgroup()
    ntors = int(torgroup.order())
    torstruct = [int(n) for n in list(torgroup.invariants())]
    torgens = [point_string(P.element()) for P in torgroup.gens()]

    # get label of elliptic curve over Q for base_change cases (a
    # subset of Q-curves)

    if True:  # q_curve: now we have not precomputed Q-curve status
              # but still want to test for base change!
        if verbose:
            print("testing {} for base-change...".format(label))
        E1list = E.descend_to(QQ)
        if len(E1list):
            base_change = [cremona_to_lmfdb(E1.label()) for E1 in E1list]
            if verbose:
                print "%s is base change of %s" % (label, base_change)
        else:
            base_change = []
            # print "%s is a Q-curve, but not base-change..." % label
    else:
        base_change = []

    # NB if this is not a global minimal model then local_data may
    # include a prime at which we have good reduction.  This causes no
    # problems except that the bad_reduction_type is then None which
    # cannot be converted to an integer.  The bad reduction types are
    # coded as (Sage) integers in {-1,0,1}.
    local_data = [{'p': ideal_to_string(ld.prime()),
                   'normp': str(ld.prime().norm()),
                   'ord_cond':int(ld.conductor_valuation()),
                   'ord_disc':int(ld.discriminant_valuation()),
                   'ord_den_j':int(max(0,-(E.j_invariant().valuation(ld.prime())))),
                   'red':None if ld.bad_reduction_type()==None else int(ld.bad_reduction_type()),
                   'kod':web_latex(ld.kodaira_symbol()).replace('$',''),
                   'cp':int(ld.tamagawa_number())}
                  for ld in E.local_data()]

    non_minimal_primes = [ideal_to_string(P) for P in E.non_minimal_primes()]
    minD = ideal_to_string(E.minimal_discriminant_ideal())

    edata = {
        'field_label': field_label,
        'degree': deg,
        'signature': sig,
        'abs_disc': abs_disc,
        'class_label': class_label,
        'short_class_label': short_class_label,
        'label': label,
        'short_label': short_label,
        'conductor_label': conductor_label,
        'conductor_ideal': conductor_ideal,
        'conductor_norm': conductor_norm,
        'iso_label': iso_label,
        'iso_nlabel': iso_nlabel,
        'number': number,
        'ainvs': ainvs,
        'jinv': jinv,
        'cm': cm,
        'q_curve': q_curve,
        'base_change': base_change,
        'torsion_order': ntors,
        'torsion_structure': torstruct,
        'torsion_gens': torgens,
        'equation': web_latex(E),
        'local_data': local_data,
        'minD': minD,
        'non_min_p': non_minimal_primes,
    }

    return label, edata