예제 #1
0
def ref_gen_leech2_reduce_n(v, verbose=0):
    vtype = gen_leech2_subtype(v)
    subtype = vtype & 0xf

    out = []

    if subtype & 1:
        coc = (v ^ mat24.ploop_theta(v >> 12)) & 0xfff
        syn = mat24.cocode_syndrome(coc)
        src = mat24.vect_to_list(syn, mat24.bw24(syn))
        assert len(src) in [1, 3]
        lst = [1, 2, 3] if subtype == 3 else [0]
        apply_perm(v, src, lst, len(src), out)
        v = gen_leech2_op_atom(v, out[0])
        out.append(0xC0000000 + ((v >> 12) & 0x7ff))
        v = gen_leech2_op_atom(v, out[1])
        out.append(0xB0000000 + ((v >> 13) & 0x800))
    elif subtype == 6:
        gv = (v >> 12) & 0xfff
        vect = mat24.gcode_to_vect(gv)
        src = mat24.vect_to_list(vect, mat24.bw24(vect))
        assert len(src) == 12
        dest = STD_DODECAD
        if (vtype == 0x36):
            coc = (v ^ mat24.ploop_theta(v >> 12)) & 0xfff
            w = mat24.bw24(mat24.cocode_as_subdodecad(coc, gv))
            if w & 2:
                dest = CPL_DODECAD
        pi = mat24.perm_from_dodecads(dest, src)
        out.append(0xA0000000 + mat24.perm_to_m24num(pi))
        op_y_x(v, TABLE_DODECAD, out)
    elif subtype in [2, 4]:
        if vtype == 0x34:
            find_octad_permutation_odd(v, out)
        else:
            find_octad_permutation(v, out)
        op_y_x(v, TABLE_OCTAD, out)
    elif subtype in [0, 8]:
        if ((v & 0x7ff) == 0):
            out.append(0xA0000000)
            out.append(0xC0000000)
            x = 0x800 if v & 0x1800000 == 0x1800000 else 0
            out.append(0x90000000 + x)
        else:
            syn = mat24.cocode_syndrome(v & 0x7ff, 0)
            src = mat24.vect_to_list(syn, mat24.bw24(syn))
            j = mat24.bw24(syn) & 2
            lst, y0 = ([2, 3], 0x200) if j else ([0, 1, 2, 3], 0x400)
            apply_perm(v, src, lst, len(lst), out)
            v = gen_leech2_op_atom(v, out[0])
            y = y0 if v & 0x800000 else 0
            out.append(0xC0000000 + y)
            v = gen_leech2_op_atom(v, out[1])
            x = y0 if v & 0x1000000 else 0
            out.append(0xB0000000 + x)
    else:
        raise ValueError("Bad subtype " + hex(vtype))
    assert len(out) == 3
    return vtype, np.array(out, dtype=np.uint32)
예제 #2
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def op_y_x(v, table, out):
    v = gen_leech2_op_atom(v, out[0])
    c = (v ^ table[0]) & 0x7ff
    y = 0
    for i in range(11):
        y ^= table[i + 1] & -((c >> i) & 1)
    out.append(0xC0000000 + y)
    v = gen_leech2_op_atom(v, out[1])
    if (((v >> 23) ^ table[12]) & 1):
        y = table[13]
        v = gen_leech2_op_atom(v, 0xC0000000 + y)
        out[1] ^= y
    c = (v ^ table[0]) & 0x7ff
    x = table[14] if (v & 0x1000000) else 0
    out.append(0x90000000 + x)  #!!!
예제 #3
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def xi_reduce_odd_type4(v, verbose=0):
    r"""Compute power of :math:`\xi` that reduces a vector ``v``

    Let ``v`` be a vector in the Leech lattice mod 2 in Leech
    lattice encoding. We assume that ``v`` is of subtype 0x43.

    We compute an exponent ``e`` such that :math:`\xi^e` maps 
    ``v`` to a vector of subtype 0x42 or 0x44.

    The function returns ``e`` if ``v`` is mapped to type 0x42
    and ``0x100 + e`` if ``v`` is mapped to type 0x44.  A negative
    return value indicates that no such exponent ``e`` exists.
    """
    assert v & 0x800  # Error if cocode part ov v is even
    coc = (v ^ mat24.ploop_theta(v >> 12)) & 0xfff
    # Obtain cocode as table of bit fields of 5 bits
    tab = mat24.syndrome_table(coc & 0x7ff)
    # Check if the syndrome bits are in 3 different MOG columns.
    # We first XOR bit field i with bit field (i-1)(mod 3)
    # and then zero the lowest two bits of each bit field.
    tab ^= ((tab >> 5) & 0x3ff) ^ ((tab & 0x1f) << 10)
    tab &= 0x739c
    # Now all three bit fields are nonzero iff the syndrome bits
    # are in three differnt columns. Next add 32 - 4 to each bit
    # field in order to produce a carry if the field is nonzero.
    tab += 0x739c
    # Next we isolate the three carry bits
    tab &= 0x8420
    # Return -1 if all carry bits are set, i.e all syndrome bits
    # are in different columns.
    if (tab == 0x8420):
        return -1
    # Let scalar be the scalar product of the Golay part of v
    # with the standard tetrad \omega
    scalar = (v >> 22) & 1
    # Exponent for element \xi of G_x0 is 2 - scalar
    exp = 2 - scalar
    if verbose:
        w = gen_leech2_op_atom(v, 0x60000000 + exp)
        print(
            "Reducing c = %s, subtype %s, t=%s, e=%d, to v = %s, subtype %s" %
            (hex(mat24.cocode_syndrome(coc, 0)), hex(gen_leech2_subtype(v)),
             hex(tab), exp, hex(
                 mat24.gcode_to_vect(w >> 12)), hex(gen_leech2_subtype(w))))
    # Return exponent for \xi in the lower 4 bits of the retrun value;
    # Return 0 in bit 8 if all syndrome bits of v are in the same
    # MOG column and 1 in bit 8 otherwise.
    return ((tab != 0) << 8) + exp
예제 #4
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def reduce_type4_std(v, verbose=0):
    r"""Map type-4 vector in Leech lattice to standard vector

    This is (almost) a python implementation of the C function
    ``gen_leech2_reduce_type4`` in file ``gen_leech.c``.
   
    Let ``v \in \Lambda / 2 \Lambda`` of type 4 be given by 
    parameter ``v`` in Leech lattice encoding. 

    Let ``Omega`` be the type- vector in the Leech  lattice 
    corresponding to the standard coordinate frame in the Leech
    lattice.
   
    Then the function constructs a ``g \in G_{x0}`` 
    that maps ``v`` to ``Omega``.
 
    The element ``g`` is returned as a word in the generators
    of ``G_{x0}`` of length ``n \leq 6``. Each atom of the 
    word ``g`` is encoded as  defined in the header 
    file ``mmgroup_generators.h``. 

    The function stores ``g`` as a word of generators in the
    array ``pg_out`` and returns the length  ``n``  of that
    word. It returns a negative number in case of failure, 
    e.g. if ``v`` is not of type 4.

    We remark that the C function ``gen_leech2_reduce_type4`` 
    treats certain type-4  vectors ``v`` in a special way
    as indicated in function ``reduce_type4``.
    """
    if verbose:
        print("Transforming  type-4 vector %s to Omega" % hex(v & 0x1ffffff))
    vtype = gen_leech2_subtype(v)
    result = []
    for _i in range(5):
        coc = (v ^ mat24.ploop_theta(v >> 12)) & 0xfff
        if verbose:
            vt = gen_leech2_subtype(v)
            coc_anchor = 0
            if vt in [0x42, 0x44]:
                w = mat24.gcode_weight(v >> 12)
                vect = mat24.gcode_to_vect((v ^ ((w & 4) << 21)) >> 12)
                coc_anchor = mat24.lsbit24(vect)
            coc_syn = Cocode(coc).syndrome_list(coc_anchor)
            gcode = mat24.gcode_to_vect(v >> 12)
            print("Round %d, v = %s, subtype %s, gcode %s, cocode %s" %
                  (_i, hex(v & 0xffffff), hex(vt), hex(gcode), coc_syn))
        assert vtype == gen_leech2_subtype(v)
        if vtype == 0x48:
            if verbose:
                res = list(map(hex, result))
                print("Transformation is\n", res)
            return np.array(result, dtype=np.uint32)
        elif vtype == 0x40:
            if v & 0x7ffbff:
                syn = mat24.cocode_syndrome(coc, 0)
                src = mat24.vect_to_list(syn, 4)
                v = apply_perm(v, src, LSTD, 4, result, verbose)
                #print("after type 40", hex(v),  Cocode(v).syndrome(0))
            exp = 2 - ((v >> 23) & 1)
            vtype = 0x48
        elif vtype in [0x42, 0x44]:
            exp = xi_reduce_octad(v)
            if exp < 0:
                v = find_octad_permutation(v, result, verbose)
                exp = xi_reduce_octad(v)
                assert exp >= 0
            vtype = 0x40
        elif vtype == 0x46:
            exp = xi_reduce_dodecad(v, verbose)
            if exp < 0:
                vect = mat24.gcode_to_vect(v >> 12)
                src = mat24.vect_to_list(vect, 4)
                v = apply_perm(v, src, LSTD, len(src), result, verbose)
                exp = xi_reduce_dodecad(v, verbose)
                assert exp >= 0
            vtype = 0x44
        elif vtype == 0x43:
            exp = xi_reduce_odd_type4(v, verbose)
            if exp < 0:
                vect = mat24.gcode_to_vect(v >> 12)
                syn = mat24.cocode_syndrome(coc, 24)
                src = mat24.vect_to_list(syn, 3)
                #print("coc list", src)
                v = apply_perm(v, src, LSTD[1:], len(src), result, verbose)
                exp = xi_reduce_odd_type4(v, verbose)
                assert exp > 0
            vtype = 0x42 + ((exp & 0x100) >> 7)
            exp &= 3
        else:
            raise ValueError("WTF")
        if exp:
            exp = 0xE0000003 - exp
            v_old = v
            v = gen_leech2_op_atom(v, exp)
            assert v & 0xfe000000 == 0, (hex(v_old), hex(exp), hex(v))
            result.append(exp)
    raise ValueError("WTF1")
예제 #5
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def reduce_type2_ortho(v, verbose=0):
    r"""Map (orthgonal) short vector in Leech lattice to standard vector

    This is a python implementation of the C function
    ``gen_leech2_reduce_type2_ortho`` in file ``gen_leech.c``.
   
    Let ``v \in \Lambda / 2 \Lambda`` of type 2 be given by 
    parameter ``v`` in Leech lattice encoding. 

    In the real Leech lattice, (the origin of) the vector ``v`` must
    be orthogonal to the standard short vector ``beta``. Here ``beta``
    is the short vector in the Leech  lattice  propotional
    to  ``e_2 - e_3``, where ``e_i`` is  the ``i``-th basis vector
    of ``\{0,1\}^{24}``.
   
    Let ``beta'`` be the short vector in the Leech lattice propotional
    to  ``e_2 + e_3``.  Then the function constructs a ``g \in G_{x0}`` 
    that maps ``v`` to ``beta'`` and fixes ``beta``.
 
    The element ``g`` is returned as a word in the generators
    of ``G_{x0}`` of length ``n \leq 6``. Each atom of the 
    word ``g`` is encoded as  defined in the header 
    file ``mmgroup_generators.h``. 

    The function stores ``g`` as a word of generators in the
    array ``pg_out`` and returns the length  ``n``  of that
    word. It returns a negative number in case of failure, 
    e.g. if ``v`` is not of type 2,  or not orthogonal 
    to ``beta'`` in the real Leech lattice.
    """
    vtype = gen_leech2_subtype(v)
    if (vtype >> 4) != 2:
        raise ValueError("Vector is not short")
    if gen_leech2_type(v ^ 0x200) != 4:
        raise ValueError("Vector not orthogonal to standard vector")
    result = []
    for _i in range(4):
        if verbose:
            coc = (v ^ mat24.ploop_theta(v >> 12)) & 0xfff
            vt = gen_leech2_subtype(v)
            coc_anchor = 0
            if vt in [0x22]:
                w = mat24.gcode_weight(v >> 12)
                vect = mat24.gcode_to_vect((v ^ ((w & 4) << 21)) >> 12)
                coc_anchor = mat24.lsbit24(vect)
            coc_syn = Cocode(coc).syndrome_list(coc_anchor)
            gcode = mat24.gcode_to_vect(v >> 12)
            print("Round %d, v = %s, subtype %s, gcode %s, cocode %s" %
                  (_i, hex(v & 0xffffff), hex(vt), hex(gcode), coc_syn))
        assert vtype == gen_leech2_subtype(v)
        if vtype == 0x21:
            exp = xi_reduce_odd_type2(v)
            vtype = 0x22
        elif vtype == 0x22:
            exp = xi_reduce_octad(v)
            if exp < 0:
                w = mat24.gcode_weight(v >> 12)
                vect = mat24.gcode_to_vect((v ^ ((w & 4) << 21)) >> 12)
                if vect & 0x0c:
                    vect &= ~0x0c
                    src = mat24.vect_to_list(vect, 2) + [2, 3]
                    dest = [0, 1, 2, 3]
                else:
                    src = [2, 3] + mat24.vect_to_list(vect, 3)
                    v5 = (1 << src[2]) | (1 << src[3]) | (1 << src[4])
                    v5 |= 0x0c
                    special = mat24.syndrome(v5, 24)
                    src.append(mat24.lsbit24(special & vect))
                    dest = [2, 3, 4, 5, 6, 7]
                v = apply_perm(v, src, dest, len(src), result, verbose)
                exp = xi_reduce_octad(v)
                assert exp >= 0
            vtype = 0x20
        elif vtype == 0x20:
            if ((v & 0xffffff) == 0x800200):
                return np.array(result, dtype=np.uint32)
            syn = (mat24.cocode_syndrome(v, 0)) & ~0xc
            if syn and syn != 3:
                src = mat24.vect_to_list(syn, 2) + [2, 3]
                v = apply_perm(v, src, [0, 1, 2, 3], 4, result, verbose)
            exp = 2 - ((v >> 23) & 1)
        else:
            raise ValueError("WTF")
        if exp:
            exp = 0xE0000003 - exp
            v = gen_leech2_op_atom(v, exp)
            result.append(exp)
    raise ValueError("WTF1")
예제 #6
0
def reduce_type2(v, verbose=1):
    r"""Map (orthgonal) short vector in Leech lattice to standard vector

    This is a python implementation of the C function
    ``gen_leech2_reduce_type2`` in file ``gen_leech.c``.
   
    Let ``v \in \Lambda / 2 \Lambda`` of type 2 be given by 
    parameter ``v`` in Leech lattice encoding. 

    Let ``beta`` be the short vector in the Leech  lattice propotional
    to  ``e_2 - e_3``, where ``e_i`` is  the ``i``-th basis vector
    of ``\{0,1\}^{24}``.
   
    Then the function constructs a ``g \in G_{x0}`` 
    that maps ``v`` to ``beta``.
 
    The element ``g`` is returned as a word in the generators
    of ``G_{x0}`` of length ``n \leq 6``. Each atom of the 
    word ``g`` is encoded as  defined in the header 
    file ``mmgroup_generators.h``. 

    The function stores ``g`` as a word of generators in the
    array ``pg_out`` and returns the length  ``n``  of that
    word. It returns a negative number in case of failure, 
    e.g. if ``v`` is not of type 2.
    """
    vtype = gen_leech2_subtype(v)
    if (vtype >> 4) != 2:
        raise ValueError("Vector is not short")
    result = []
    for _i in range(4):
        if verbose:
            coc = (v ^ mat24.ploop_theta(v >> 12)) & 0xfff
            vt = gen_leech2_subtype(v)
            coc_anchor = 0
            if vt in [0x22]:
                w = mat24.gcode_weight(v >> 12)
                vect = mat24.gcode_to_vect((v ^ ((w & 4) << 21)) >> 12)
                coc_anchor = mat24.lsbit24(vect)
            coc_syn = Cocode(coc).syndrome_list(coc_anchor)
            gcode = mat24.gcode_to_vect(v >> 12)
            print("Round %d, v = %s, subtype %s, gcode %s, cocode %s" %
                  (_i, hex(v & 0xffffff), hex(vt), hex(gcode), coc_syn))
        assert vtype == gen_leech2_subtype(v)
        if vtype == 0x21:
            exp = xi_reduce_odd_type2(v)
            vtype = 0x22
        elif vtype == 0x22:
            exp = xi_reduce_octad(v)
            if exp < 0:
                w = mat24.gcode_weight(v >> 12)
                vect = mat24.gcode_to_vect((v ^ ((w & 4) << 21)) >> 12)
                src = mat24.vect_to_list(vect, 4)
                dest = [0, 1, 2, 3]
                v = apply_perm(v, src, dest, 4, result, verbose)
                exp = xi_reduce_octad(v)
                assert exp >= 0
            vtype = 0x20
        elif vtype == 0x20:
            exp = 0
            # map v to stadard cocode word [2,3]
            if v & 0x7fffff != 0x200:
                syn = (mat24.cocode_syndrome(v, 0))
                src = mat24.vect_to_list(syn, 2)
                v = apply_perm(v, src, [2, 3], 2, result, verbose)
            # correct v2 if v2 is the cocode word [2,3] + Omega
            if v & 0x800000:
                atom = 0xC0000200
                # operation y_d such that d has odd scalar
                # product with cocode word [2,3]
                v = gen_leech2_op_atom(v, atom)
                result.append(atom)
            assert v & 0xffffff == 0x200
            return np.array(result, dtype=np.uint32)
        else:
            raise ValueError("WTF")
        if exp:
            exp = 0xE0000003 - exp
            v = gen_leech2_op_atom(v, exp)
            result.append(exp)
    raise ValueError("WTF1")