CoCalc -- PyNormaliz.py

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GAP 4.8.9 installation with standard packages -- copy to your CoCalc project to get it
Project: cocalc-sagemath-dev-slelievre
Path: gap4r8 / pkg / NormalizInterface-1.0.2 / Normaliz.git / PyNormaliz / PyNormaliz.py
Views: ⁴¹⁸³⁴⁶
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# encoding=utf8
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import PyNormaliz_cpp
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from PyNormaliz_cpp import *
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class Cone:
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    def __init__(self, *args, **kwargs):
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        input_list = [k for k in args]
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        for i in kwargs:
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            current_input = kwargs[i]
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            if type(current_input) == list and len(current_input) > 0 and type(current_input[0]) != list:
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                kwargs[i] = [current_input]
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            elif type(current_input) == bool and current_input == True:
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                kwargs[i] = current_input = [[]]
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            elif type(current_input) == bool and current_input == False:
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                kwargs.pop(i)
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        for i in kwargs:
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            input_list.append(i)
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            input_list.append(kwargs[i])
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        self.cone = PyNormaliz_cpp.NmzCone(input_list)
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    def __process_keyword_args(self, keywords):
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        input_list = []
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        for i in keywords:
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            if keywords[i] == True:
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                input_list.append(i)
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        return input_list
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    def print_properties(self):
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        props = PyNormaliz_cpp.NmzListConeProperties()
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        goals = props[0]
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        for x in goals:
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            if (PyNormaliz_cpp.NmzIsComputed(self.cone, x)):
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                print(x + ":")
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                print(PyNormaliz_cpp.NmzResult(self.cone, x))
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                print("\n")
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    def __str__(self):
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        return "<Normaliz Cone>"
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    def __repr__(self):
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        return "<Normaliz Cone>"
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    def Compute(self, *args):
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        return PyNormaliz_cpp.NmzCompute(self.cone, args)
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    def setVerbose(self, verbose=True):
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        return NmzSetVerbose(self.cone, verbose)
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    # This one is not like the others!
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    def IntegerHull(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("IntegerHull")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        new_inner_cone = PyNormaliz_cpp.NmzResult(self.cone, "IntegerHull")
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        return_cone = Cone.__new__(Cone)
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        return_cone.cone = new_inner_cone
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        return return_cone
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    def HilbertSeries(self, **kwargs):
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        try:
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            as_hsop = kwargs["HSOP"]
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        except KeyError:
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            as_hsop = 28
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("HilbertSeries")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        if as_hsop == 28:
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            return PyNormaliz_cpp.NmzHilbertSeries(self.cone)
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        if type(as_hsop) == bool:
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            return PyNormaliz_cpp.NmzHilbertSeries(self.cone, as_hsop)
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        raise TypeError("If HSOP is given, it must be True or False")
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    def Polynomial(self, **kwargs):
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        return PyNormaliz_cpp.NmzGetPolynomial(self.cone)
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    def NrCoeffQuasiPol(self, bound=-1):
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        return PyNormaliz_cpp.NmzSetNrCoeffQuasiPol(self.cone, bound)
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    def SymmetrizedCone(self, **kwargs):
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        new_inner_cone = PyNormaliz_cpp.NmzSymmetrizedCone(self.cone)
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        if new_inner_cone == None:
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            return None
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        return_cone = Cone.__new__(Cone)
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        return_cone.cone = new_inner_cone
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        return return_cone
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    def PrettyPolynomialTuple(self, numCoefficients, denCoefficients):
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        """
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        Strings for numerator and denominator of the a hilbert series.
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        Parameters
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        ----------
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        numCoefficients : list
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            The coefficients for the numerator.
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        denCofficients : list
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            The coefficients for the denominator where the value represents the
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            exponent of 't' and the frequency indicates the outer coefficient.
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        Returns
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        -------
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        PrettyPolynomialTuple: tuple of strings
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        Examples
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        --------
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        >>> numCoefficients = [3, 7, 4, -4, -6, 5]
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        >>> denCoefficients = [1, 1, 2, 2, 2, 4]
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        >>> PrettyPolynomialTuple(numCoefficients,denCoefficients)
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        ('(3 + 7t + 4t² - 4t³ - 6t⁴ + 5t⁵)', '(1 - t)² (1 - t²)³ (1 - t⁴)')
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        """
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        def to_sup(s):
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            sups = {u'0': u'\u2070',
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                    u'1': u'\xb9',
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                    u'2': u'\xb2',
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                    u'3': u'\xb3',
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                    u'4': u'\u2074',
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                    u'5': u'\u2075',
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                    u'6': u'\u2076',
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                    u'7': u'\u2077',
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                    u'8': u'\u2078',
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                    u'9': u'\u2079'}
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            if s is 1:
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                return ''
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            # lose the list comprehension
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            return ''.join(sups.get(str(char), str(char)) for char in str(s))
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        def getNumerator(coefficients):
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            numerator = ''
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            def isPositive(x):
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                return x > 0
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            firstNonZero = next(
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                (i for i, x in enumerate(coefficients) if x != 0), 0)
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            for exp, coefficient in enumerate(coefficients):
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                if coefficient is 0:
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                    continue
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                # Exponent is 0 so keep only the coefficient
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                if exp is 0:
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                    numerator += '({}{!s}'.format('-' if not isPositive(coefficient)
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                                                  else '', abs(coefficient))
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                # Only include sign if `coefficient` is negative
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                elif i is firstNonZero:
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                    numerator += '{}{!s}t{}'.format('-' if not isPositive(
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                        coefficient) else '', abs(coefficient), to_sup(exp))
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                else:
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                    numerator += ' {}{!s}t{}'.format('+ ' if isPositive(
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                        coefficient) else '- ', abs(coefficient), to_sup(exp))
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            numerator += ')'
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            return numerator
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        def getDenominator(coefficients):
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            exponents = [(inner, coefficients.count(inner))
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                         for inner in set(coefficients)]
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            denominator = ' '.join('(1 - t{}){}'. format(to_sup(x[0]) if x[
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                                   0] is not 1 else '', to_sup(x[1]) if x[1] is not 1 else '') for x in exponents)
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            return denominator
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        num = getNumerator(numCoefficients)
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        den = getDenominator(denCoefficients)
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        prettyPolynomial = (num, den)
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        return prettyPolynomial
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    def PrintPrettyHilbertSeries(self, numCoefficients, denCoefficients):
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        """
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        Make a pretty hilbert series string
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        Parameters
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        ----------
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        numCoefficients : list of ints
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            The coefficients for the numerator.
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        denCofficients : list of ints
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            The coefficients for the denominator where the value represents
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            the exponent of 't' and the frequency indicates the outer
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            coefficient.
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        Returns
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        -------
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        PrintPrettyHilbertSeries : string
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        Examples
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        --------
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        >>> numCoefficients = [3, 7, 4, -4, -6, 5]
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        >>> deCoefficients = [1, 1, 2, 2, 2, 4]
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        >>> PrintPrettyHilbertSeries(numCoefficients,deCoefficients)
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        (3 + 7t + 4t² - 4t³ - 6t⁴ + 5t⁵)
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        --------------------------------
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           (1 - t)² (1 - t²)³ (1 - t⁴)
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        """
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        num, den = self.PrettyPolynomialTuple(numCoefficients, denCoefficients)
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        prettyPolynomial = '{:^}\n{:-^{width}}\n{:^{width}}'.format(
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            num, '', den, width=max(len(den),len(num)))
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        return prettyPolynomial
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    def PrintHilbertSeries(self):
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        hilbert_series=self.HilbertSeries()
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        shift=hilbert_series[2]
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        shift=[ 0 for x in range(1,shift) ]
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        numerator=shift+hilbert_series[0]
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        denominator=hilbert_series[1]
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        print(self.PrintPrettyHilbertSeries(numerator,denominator))
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        return None
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    # Auto generated stuff
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    def Generators(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Generators")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Generators")
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    def ExtremeRays(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("ExtremeRays")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ExtremeRays")
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    def VerticesOfPolyhedron(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("VerticesOfPolyhedron")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "VerticesOfPolyhedron")
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    def SupportHyperplanes(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("SupportHyperplanes")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "SupportHyperplanes")
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    def HilbertBasis(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("HilbertBasis")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "HilbertBasis")
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    def ModuleGenerators(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("ModuleGenerators")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ModuleGenerators")
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    def Deg1Elements(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Deg1Elements")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Deg1Elements")
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    def ModuleGeneratorsOverOriginalMonoid(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("ModuleGeneratorsOverOriginalMonoid")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ModuleGeneratorsOverOriginalMonoid")
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    def Sublattice(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Sublattice")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Sublattice")
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    def ExcludedFaces(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("ExcludedFaces")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ExcludedFaces")
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    def OriginalMonoidGenerators(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("OriginalMonoidGenerators")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "OriginalMonoidGenerators")
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    def MaximalSubspace(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("MaximalSubspace")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "MaximalSubspace")
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    def Equations(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Equations")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Equations")
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    def Congruences(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Congruences")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Congruences")
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    def Grading(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Grading")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Grading")
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    def Dehomogenization(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Dehomogenization")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Dehomogenization")
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    def WitnessNotIntegrallyClosed(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("WitnessNotIntegrallyClosed")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "WitnessNotIntegrallyClosed")
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    def TriangulationSize(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("TriangulationSize")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "TriangulationSize")
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    def TriangulationDetSum(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("TriangulationDetSum")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "TriangulationDetSum")
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    def ReesPrimaryMultiplicity(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("ReesPrimaryMultiplicity")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ReesPrimaryMultiplicity")
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    def GradingDenom(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("GradingDenom")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "GradingDenom")
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    def UnitGroupIndex(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("UnitGroupIndex")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "UnitGroupIndex")
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    def InternalIndex(self, **kwargs):
350
        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("InternalIndex")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "InternalIndex")
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    def ExternalIndex(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("ExternalIndex")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ExternalIndex")
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    def Multiplicity(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Multiplicity")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "Multiplicity")
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    def RecessionRank(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("RecessionRank")
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        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "RecessionRank")
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373
    def AffineDim(self, **kwargs):
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        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("AffineDim")
376
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "AffineDim")
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379
    def ModuleRank(self, **kwargs):
380
        input_list = self.__process_keyword_args(kwargs)
381
        input_list.append("ModuleRank")
382
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
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        return PyNormaliz_cpp.NmzResult(self.cone, "ModuleRank")
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385
    def Rank(self, **kwargs):
386
        input_list = self.__process_keyword_args(kwargs)
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        input_list.append("Rank")
388
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
389
        return PyNormaliz_cpp.NmzResult(self.cone, "Rank")
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391
    def EmbeddingDim(self, **kwargs):
392
        input_list = self.__process_keyword_args(kwargs)
393
        input_list.append("EmbeddingDim")
394
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
395
        return PyNormaliz_cpp.NmzResult(self.cone, "EmbeddingDim")
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397
    def IsPointed(self, **kwargs):
398
        input_list = self.__process_keyword_args(kwargs)
399
        input_list.append("IsPointed")
400
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
401
        return PyNormaliz_cpp.NmzResult(self.cone, "IsPointed")
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403
    def IsDeg1ExtremeRays(self, **kwargs):
404
        input_list = self.__process_keyword_args(kwargs)
405
        input_list.append("IsDeg1ExtremeRays")
406
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
407
        return PyNormaliz_cpp.NmzResult(self.cone, "IsDeg1ExtremeRays")
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409
    def IsDeg1HilbertBasis(self, **kwargs):
410
        input_list = self.__process_keyword_args(kwargs)
411
        input_list.append("IsDeg1HilbertBasis")
412
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
413
        return PyNormaliz_cpp.NmzResult(self.cone, "IsDeg1HilbertBasis")
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415
    def IsIntegrallyClosed(self, **kwargs):
416
        input_list = self.__process_keyword_args(kwargs)
417
        input_list.append("IsIntegrallyClosed")
418
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
419
        return PyNormaliz_cpp.NmzResult(self.cone, "IsIntegrallyClosed")
420

421
    def IsReesPrimary(self, **kwargs):
422
        input_list = self.__process_keyword_args(kwargs)
423
        input_list.append("IsReesPrimary")
424
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
425
        return PyNormaliz_cpp.NmzResult(self.cone, "IsReesPrimary")
426

427
    def IsInhomogeneous(self, **kwargs):
428
        input_list = self.__process_keyword_args(kwargs)
429
        input_list.append("IsInhomogeneous")
430
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
431
        return PyNormaliz_cpp.NmzResult(self.cone, "IsInhomogeneous")
432

433
    def Triangulation(self, **kwargs):
434
        input_list = self.__process_keyword_args(kwargs)
435
        input_list.append("Triangulation")
436
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
437
        return PyNormaliz_cpp.NmzResult(self.cone, "Triangulation")
438

439
    def InclusionExclusionData(self, **kwargs):
440
        input_list = self.__process_keyword_args(kwargs)
441
        input_list.append("InclusionExclusionData")
442
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
443
        return PyNormaliz_cpp.NmzResult(self.cone, "InclusionExclusionData")
444

445
    def StanleyDec(self, **kwargs):
446
        input_list = self.__process_keyword_args(kwargs)
447
        input_list.append("StanleyDec")
448
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
449
        return PyNormaliz_cpp.NmzResult(self.cone, "StanleyDec")
450

451
    def ClassGroup(self, **kwargs):
452
        input_list = self.__process_keyword_args(kwargs)
453
        input_list.append("ClassGroup")
454
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
455
        return PyNormaliz_cpp.NmzResult(self.cone, "ClassGroup")
456

457
    def ConeDecomposition(self, **kwargs):
458
        input_list = self.__process_keyword_args(kwargs)
459
        input_list.append("ConeDecomposition")
460
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
461
        return PyNormaliz_cpp.NmzResult(self.cone, "ConeDecomposition")
462

463
    def HilbertQuasiPolynomial(self, **kwargs):
464
        input_list = self.__process_keyword_args(kwargs)
465
        input_list.append("HilbertQuasiPolynomial")
466
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
467
        return PyNormaliz_cpp.NmzResult(self.cone, "HilbertQuasiPolynomial")
468

469
    def IsTriangulationNested(self, **kwargs):
470
        input_list = self.__process_keyword_args(kwargs)
471
        input_list.append("IsTriangulationNested")
472
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
473
        return PyNormaliz_cpp.NmzResult(self.cone, "IsTriangulationNested")
474

475
    def IsTriangulationPartial(self, **kwargs):
476
        input_list = self.__process_keyword_args(kwargs)
477
        input_list.append("IsTriangulationPartial")
478
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
479
        return PyNormaliz_cpp.NmzResult(self.cone, "IsTriangulationPartial")
480

481
    def WeightedEhrhartQuasiPolynomial(self, **kwargs):
482
        input_list = self.__process_keyword_args(kwargs)
483
        input_list.append("WeightedEhrhartQuasiPolynomial")
484
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
485
        return PyNormaliz_cpp.NmzResult(self.cone, "WeightedEhrhartQuasiPolynomial")
486

487
    def WeightedEhrhartSeries(self, **kwargs):
488
        input_list = self.__process_keyword_args(kwargs)
489
        input_list.append("WeightedEhrhartSeries")
490
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
491
        return PyNormaliz_cpp.NmzResult(self.cone, "WeightedEhrhartSeries")
492

493
    def Integral(self, **kwargs):
494
        input_list = self.__process_keyword_args(kwargs)
495
        input_list.append("Integral")
496
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
497
        return PyNormaliz_cpp.NmzResult(self.cone, "Integral")
498

499
    def VirtualMultiplicity(self, **kwargs):
500
        input_list = self.__process_keyword_args(kwargs)
501
        input_list.append("VirtualMultiplicity")
502
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
503
        return PyNormaliz_cpp.NmzResult(self.cone, "VirtualMultiplicity")
504

505
    def IsGorenstein(self, **kwargs):
506
        input_list = self.__process_keyword_args(kwargs)
507
        input_list.append("IsGorenstein")
508
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
509
        return PyNormaliz_cpp.NmzResult(self.cone, "IsGorenstein")
510

511
    def GeneratorOfInterior(self, **kwargs):
512
        input_list = self.__process_keyword_args(kwargs)
513
        input_list.append("GeneratorOfInterior")
514
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
515
        return PyNormaliz_cpp.NmzResult(self.cone, "GeneratorOfInterior")
516

517
    def VerticesFloat(self, **kwargs):
518
        input_list = self.__process_keyword_args(kwargs)
519
        input_list.append("VerticesFloat")
520
        PyNormaliz_cpp.NmzCompute(self.cone, input_list)
521
        return PyNormaliz_cpp.NmzResult(self.cone, "VerticesFloat")
522

523
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