Esempio n. 1
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def get_Ptolemy_relations(t, N, cohomology_class = None):
    if cohomology_class:
        cohomology_coefficients = (
            cohomology_2_rel_boundary_class_to_coeffs(t, cohomology_class))

    eqns = []
    
    for tet in t.tet_list:
        i = tet.index
        if cohomology_class:
            signs = cohomology_coefficients[tet.index]
            sign_01 = Z2_to_sign(signs[2] + signs[3])
            sign_12 = Z2_to_sign(signs[0] + signs[3])
        else:
            sign_01 = +1
            sign_12 = +1

        sign_01 = Polynomial.constantPolynomial(sign_01)
        sign_12 = Polynomial.constantPolynomial(sign_12)

        for coord in simplex_coords_with_fixed_sum(4, N-2):
            eqns.append(
                - sign_01 * c_parameter(coord+(1,0,0,1),i)
                          * c_parameter(coord+(0,1,1,0),i)
                - sign_12 * c_parameter(coord+(1,1,0,0),i)
                          * c_parameter(coord+(0,0,1,1),i)
                +           c_parameter(coord+(1,0,1,0),i)
                          * c_parameter(coord+(0,1,0,1),i))
    return eqns
Esempio n. 2
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def polynomialNonZeroCondition(eqns, var, andNonOne = False):
    variables = get_all_variables(eqns)

    prod = Polynomial.fromVariableName(var)

    for i in variables:
        prod = prod * Polynomial.fromVariableName(i)
        if andNonOne:
            prod = prod * (Polynomial.constantPolynomial(1) -
                           Polynomial.fromVariableName(i))

    return prod - Polynomial.constantPolynomial(1)
def _convertToMonicNf(nf, timeout):

    pariStr = "PRIVATEconvertToMonicNf = nfinit(%s, 3)" % nf.printMagma()
    print pariStr
    print timeout
    r       = pari.pari_eval(pariStr, timeout = timeout)
    nf      = Polynomial.parseFromMagma(
        pari.pari_eval("PRIVATEconvertToMonicNf[1].pol", timeout = timeout))
    newExpressionForX = Polynomial.parseFromMagma(
        pari.pari_eval("PRIVATEconvertToMonicNf[2].pol", timeout = timeout))

    return nf, newExpressionForX
def _setValueInPolynomials(polys, variable, value, nf = None):
    res = [
        poly.substitute(
            {variable:Polynomial.constantPolynomial(value)})
        for poly in polys]

    if nf:
        res = [poly.convertCoefficients(lambda x: x % nf) for poly in res]

    return res
 def computeNumeric(
         p,
         substituteDict = {'x' : 
                            Polynomial.constantPolynomial(
                                nfSolution)}):
     
     c = p.substitute(substituteDict)
     
     assert c.isConstant()
     return c.getConstant()
Esempio n. 6
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def parse_primary_decomposition(s_with_backslash):
    """
    >>> p = parse_primary_decomposition(_magma_sample)
    >>> len(p)
    1
    >>> p = p[0]
    >>> len(p)
    3
    >>> str(p[0])
    '- 1 + c_01_0'
    >>> str(p[1])
    '1 + c_02_0 + t'
    >>> str(p[2])
    '1 + t + t^2'
    """

    s = re.search(
        "PRIMARY=DECOMPOSITION=BEGINS=HERE\s*"
        "("
        "\[\s*"
        "(([^\]]*\[[^\]]*\],?\s*)*)"
        "\]\s*"
        ")+"
        "PRIMARY=DECOMPOSITION=ENDS=HERE",
        s_with_backslash,re.DOTALL)

    if not s:
        raise Exception, "Invalid Primary Decomposition"

    s_with_backslash = s.group(2)
    
    s = processEndOfLineBackslashes(s_with_backslash)

    components = re.findall(
        "Ideal of Polynomial ring.*?"
        "Dimension (\d+).*?"
        "(Size of variety over algebraically closed field: (\d+).*?)?"
        "Groebner basis:\s*"
        "\[([^\]]*)\]",
        s)

    def parseNumberOfPoints(s):
        if s == '':
            return None
        else:
            return int(s)

    components= [
        PrimeIdeal(
            [ Polynomial.parseFromMagma(p) for p in polys.split(',') ],
            dimension = int(dimension), 
            numberOfPoints = parseNumberOfPoints(numberOfPoints))
        for dimension, tmp, numberOfPoints, polys in components]

    return components
Esempio n. 7
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def get_additional_eqns_independent(t, N):
    
    # make sure cusps have indices

    # dictionary associating the decoration change vectors to Ptolemy coordinates
    d = {}

    for i, tet in zip(range(len(t.tet_list)), t.tet_list):
        for coord in simplex_coords_with_fixed_sum(4, N):
            if not N in coord:
                v = [0 for x in range((N-1) * t.num_or_cusps)]
                for j, k in zip(range(4), coord):
                    for p in range(k):
                        v[ tet.cusp_index[j] + p * t.num_or_cusps ] += 1
                d[c_parameter_var(coord, i)] = v

    variables = find_independent_integer_vectors(d)
    
    return [
        Polynomial.fromVariableName(var) - Polynomial.constantPolynomial(1) 
        for var in variables]
def _solveExactlyOverNumberField(univariatePoly, nf, timeout):
    
    variable = univariatePoly.variables()[0]

    def convertXtoY(p):
        return p.substitute({'x' : Polynomial.fromVariableName('y')})

    univariatePoly = univariatePoly.convertCoefficients(convertXtoY)
    univariatePoly = univariatePoly.substitute(
        { variable : Polynomial.constantPolynomial(
            Polynomial.fromVariableName('x'))})

    if not nf:
        assert univariatePoly.isConstant()
        newSolution       = Polynomial.fromVariableName('x')
        newNf             = univariatePoly.getConstant()
        newExpressionForX = Polynomial.constantPolynomial(0)
    else:
        nf = convertXtoY(nf)

        pariStr = "PRIAVTEsEONF = rnfequation(nfinit(%s), %s, 1)" % (
            nf, univariatePoly)

        print pariStr
        print timeout
        r = pari.pari_eval(pariStr, timeout = timeout)
        # print r

        newNf              = Polynomial.parseFromMagma(pari.pari_eval(
                "PRIAVTEsEONF[1]", timeout = timeout))
        newExpressionForX  = Polynomial.parseFromMagma(pari.pari_eval(
                "PRIAVTEsEONF[2].pol", timeout = timeout))
        factor             = int(pari.pari_eval(
                "PRIAVTEsEONF[3]", timeout = timeout))
        newSolution = (
            Polynomial.fromVariableName('x')
            - Polynomial.constantPolynomial(factor) * newExpressionForX)

    return newSolution, newNf, newExpressionForX
    def toPolynomial(self):

        def processOneSide(origLeftMonomial):
            
            newLeft = Monomial.constantMonomial(origLeftMonomial.getCoefficient())
            newRight = Monomial.constantMonomial(1)

            for var, expo in origLeftMonomial.getVars():
                switch_sides = 'Inv' in var
                var = var.replace('Inv','')

                if 'zpprime' in var:
                    newLeftMultiply = (
                        Monomial.constantMonomial(-1) *
                        Monomial.fromVariableName(
                            var.replace('zpprime','OneMinusz')))
                    newRightMultiply = (
                        Monomial.fromVariableName(
                            var.replace('zpprime','z')))
                elif 'zprime' in var:
                    newLeftMultiply = (
                        Monomial.constantMonomial(1))
                    newRightMultiply = (
                        Monomial.fromVariableName(
                            var.replace('zprime','OneMinusz')))
                else:
                    newLeftMultiply = (
                        Monomial.fromVariableName(var))
                    newRightMultiply = (
                        Monomial.constantMonomial(1))
                    
                if switch_sides:
                    newLeft = newLeft * newRightMultiply**expo
                    newRight = newRight * newLeftMultiply**expo
                else:
                    newLeft = newLeft * newLeftMultiply**expo
                    newRight = newRight * newRightMultiply**expo
            
            return newLeft, newRight
        
        l1, r1 = processOneSide(self.left)
        l2, r2 = processOneSide(self.right)

        newLeft = Polynomial((l1*r2,))
        newRight = Polynomial((l2*r1,))


        substDict = dict(
            [
                (var, 
                 Polynomial(
                        (
                            Monomial.constantMonomial(1),
                            Monomial.constantMonomial(-1)*
                            Monomial.fromVariableName(
                                var.replace('OneMinusz','z')))))
                for var in newLeft.variables() + newRight.variables()
                if 'OneMinusz' in var])

        return (
              newLeft.substitute(substDict) 
            - newRight.substitute(substDict))
Esempio n. 10
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 def turn_pair_to_Polynomial(p):
     if p[0] == +1:
         return Polynomial.fromVariableName(p[1])
     else:
         return -Polynomial.fromVariableName(p[1])
Esempio n. 11
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def c_parameter(coords, tet_index):
    """
    Same as c_parameter_var but returns it as Polynomial type.
    """
    return Polynomial.fromVariableName(
        c_parameter_var(coords, tet_index))
 def convertXtoY(p):
     return p.substitute({'x' : Polynomial.fromVariableName('y')})
 def conversionFunction(c):
     return Polynomial.constantPolynomial(c)
def solvePolynomialEquations(polys,
                             polynomialSolver,
                             free_dim = 0,
                             with_poly_history = False,
                             poly_history="",
                             variable_dict = { },
                             non_linear_equation_encountered=False):
    
#    polys = [polynomial.convertCoefficients(number) for polynomial in polys]

    if globalsettings.getSetting("solvePolynomialEquationsLog"):
        poly_history += '\n\n\n\n'+'\n'.join(map(_printPoly,polys))+'\n\n============\n'

    if not polys:
        assert free_dim == 0
        if with_poly_history:
            return [(variable_dict,poly_history)]
        else:
            return [variable_dict]
    solutions=[]
    for i in polys:
        assert isinstance(i,Polynomial)
        
    univariate_polys = [ poly for poly in polys if poly.isUnivariate() ]

    if globalsettings.getSetting("solvePolynomialEquationsLog"):
        poly_history=poly_history+'\n\n'+str(map(_printPoly,univariate_polys))+'\n'
    
    if univariate_polys:
        univariate_poly = univariate_polys[0]
        #    print univariate_poly
        variable_name = univariate_poly.variables()[0]
        if globalsettings.getSetting("solvePolynomialEquationsLog"):
            poly_history = poly_history + '\n\nSolving for %s\n' % variable_name

        try:
            sol = polynomialSolver(univariate_poly)
            if globalsettings.getSetting("solvePolynomialEquationsLog"):
                poly_history = poly_history+'\n'+str(sol)+'\n'
        except Exception as e:
            raise SolverException("Error in find_complex_roots when solving: " +
                                  str(univariate_poly) + " " + repr(e),
                                  poly_history)

        assert len(sol)==univariate_poly.degree()
        #if not len(sol)==1:
        #    if non_linear_equation_encountered:
        #        raise SolverException(
        #            "Encountered second non linear equation: " +
        #            str(univariate_poly),
        #            poly_history)
        #    
        #    non_linear_equation_encountered = True
    else:
        if free_dim == 0:
            raise SolverException("No univariate polynomial left",
                                  poly_history)
        else:
            univariate_poly = None
            variable_name = polys[-1].variables()[0]
            sol = [random_complex_modulos()]
            if globalsettings.getSetting("solvePolynomialEquationsLog"):
                poly_history += "In pick random solution for %s:\n %s\n\n" % (variable_name, sol)

            free_dim = free_dim - 1
        
    for value in sol:
        new_variable_dict = dict(variable_dict)
        new_variable_dict[variable_name] = value
        new_polys = [
            poly.substitute(
                { variable_name : Polynomial.constantPolynomial(value) })
            for poly in polys if not poly is univariate_poly]
        new_solutions = solvePolynomialEquations(
            new_polys,
            polynomialSolver = polynomialSolver,
            free_dim = free_dim,
            with_poly_history = with_poly_history,
            poly_history = poly_history,
            variable_dict = new_variable_dict)
        solutions = solutions + new_solutions
        
    return solutions
def _inverseOfConstantPolynomial(p):
    assert p.isConstant()
    constant = p.getConstant()
    invConstant = Fraction(1,1) / constant
    return Polynomial.constantPolynomial(invConstant)
def process_file(trig_file):

    d,in_filename = tempfile.mkstemp()

    tmp_in_file = open(in_filename, 'wb')
    tmp_in_file.write("r f %s\n" % trig_file)
    tmp_in_file.write("set precision 15\n")
    tmp_in_file.write("set digits_printed 120 f\n")
    tmp_in_file.write("print solution_type\n")
    tmp_in_file.write("print volume\n")
    #tmp_in_file.write("print complex_volume\n")
    tmp_in_file.write("quit\n")
    tmp_in_file.close()

    l = subprocess.Popen("ulimit -t 1; snap <" + in_filename, shell=True, stdout = subprocess.PIPE)
    s = l.stdout.read()

    if not ("solution type: geometric" in s or "solution type: nongeometric" in s):
        return None

    try:
        os.unlink(in_filename)
    except:
        pass

    d,in_filename = tempfile.mkstemp()
    tmp_in_file = open(in_filename, 'wb')
    tmp_in_file.write("r f %s\n" % trig_file)
    tmp_in_file.write("set degree 7\n")
    tmp_in_file.write("set precision 15\n")
    tmp_in_file.write("set digits_printed 120 f\n")
    tmp_in_file.write("compute invariant_trace_field\n")
    tmp_in_file.write("quit\n")
    tmp_in_file.close()

    l = subprocess.Popen("ulimit -t 20; snap <" + in_filename, shell=True, stdout = subprocess.PIPE)
    s2 = l.stdout.read()

    try:
        os.unlink(in_filename)
    except:
        pass

    r = re.search("Complex volume: (.*)",s)

    rcvol = '"-"'
    icvol = '"-"'

    if r:
        cvol = number(r.group(1))
        rcvol = str(cvol.real())
        icvol = str(cvol.imag())

    r = re.search("Volume is: (.*)", s)

    if r:
        rcvol = r.group(1)

    f = re.search("Invariant trace field: (.*) \[",s2)
    fp = '-'
    fdeg = '-'

    if f:
        fp = f.group(1)
        fdeg = str(Polynomial.parseFromMagma(fp).degree())

    
    if re.search(r"\(-?\d+,-?\d+\)", trig_file):
        if "(0,0)" in trig_file: # manifold is cusped if there is an unfilled cusped
            oc = "cusped"
        else:
            oc = "closed"
    else:
        oc = "cusped"

    t = read_triangulation_from_file(trig_file)

    return ('"%s",%s,%d,%s,%s,"%s",%s'
            % (trig_file.split('/')[-1].replace('.trig',''),
               oc,
               t.num_tets,
               rcvol, icvol, fp, fdeg))