コード例 #1
0
    def lfunction(self):
        """
        This method replaces the class LFunction in lmfdb.lfunctions.Lfunction
        to generate the page for this sort of class.

        After asking for this method the object should have all
        methods and attributes as one of the subclasses of Lfunction in
        lmfdb.lfunctions.Lfunction.
        """
        self.compute_kappa_lambda_Q_from_mu_nu()

        # when tensoring a modular form with a dim > 1 rep, we run
        # into having to compute a lot of coefficients and this will
        # take a lot of time. We cut it down and print a warning
        number_of_terms = min(self.numcoeff, self.besancon_bound)
        self.dirichlet_coefficients = self.algebraic_coefficients(
            number_of_terms + 1)
        self.renormalise_coefficients()

        self.texname = "L(s,\\rho)"
        self.texnamecompleteds = "\\Lambda(s,\\rho)"
        self.texnamecompleted1ms = "\\Lambda(1-s, \\widehat{\\rho})"
        self.title = "$L(s,\\rho)$, where $\\rho$ is a Galois representation"

        self.credit = 'Workshop in Besancon, 2014'

        from lmfdb.lfunctions.Lfunction import generateSageLfunction
        generateSageLfunction(self)
コード例 #2
0
ファイル: galois_reps.py プロジェクト: AurelPage/lmfdb
    def lfunction(self):
        """
        This method replaces the class LFunction in lmfdb.lfunctions.Lfunction
        to generate the page for this sort of class.

        After asking for this method the object should have all
        methods and attributes as one of the subclasses of Lfunction in
        lmfdb.lfunctions.Lfunction.
        """
        self.compute_kappa_lambda_Q_from_mu_nu()

        # when tensoring a modular form with a dim > 1 rep, we run
        # into having to compute a lot of coefficients and this will
        # take a lot of time. We cut it down and print a warning
        number_of_terms = min(self.numcoeff, self.besancon_bound)
        self.dirichlet_coefficients = self.algebraic_coefficients(number_of_terms+1)
        self.renormalise_coefficients()

        self.texname = "L(s,\\rho)"
        self.texnamecompleteds = "\\Lambda(s,\\rho)"
        self.texnamecompleted1ms = "\\Lambda(1-s, \\widehat{\\rho})" 
        self.title = "$L(s,\\rho)$, where $\\rho$ is a Galois representation"

        self.credit = 'Workshop in Besancon, 2014'

        from lmfdb.lfunctions.Lfunction import generateSageLfunction
        generateSageLfunction(self)
コード例 #3
0
ファイル: galois_reps.py プロジェクト: MarkWatkins2014/lmfdb
    def lfunction(self):
        """
        This method replaces the class LFunction in lmfdb.lfunctions.Lfunction
        to generate the page for this sort of class.

        After asking for this method the object should have all
        methods and attributes as one of the subclasses of Lfunction in
        lmfdb.lfunctions.Lfunction.
        """
        self.compute_kappa_lambda_Q_from_mu_nu()
        self.dirichlet_coefficients = self.algebraic_coefficients(self.numcoeff+1)
        self.renormalise_coefficients()

        self.texname = "L(s,\\rho)"
        self.texnamecompleteds = "\\Lambda(s,\\rho)"
        self.texnamecompleted1ms = "\\Lambda(1-s, \\widehat{\\rho})" 
        self.title = "$L(s,\\rho)$, where $\\rho$ is a Galois representation"

        self.credit = 'Workshop in Besancon, 2014'

        from lmfdb.lfunctions.Lfunction import generateSageLfunction
        generateSageLfunction(self)