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def iter_morphisms(self, l=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
def iter_morphisms(self, l=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
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def iter_morphisms(self, l=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
def iter_morphisms(self, l=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
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def __cmp__(self, right): r""" Compare ``self`` and ``right``. INPUT: - ``right`` -- anything. OUTPUT: - 0 if ``right`` is of the same type as ``self`` and their rays are the same and listed in the same order. 1 or -1 otherwise. TESTS:: sage: c1 = Cone([(1,0), (0,1)]) sage: c2 = Cone([(0,1), (1,0)]) sage: c3 = Co...
def __cmp__(self, right): r""" Compare ``self`` and ``right``. INPUT: - ``right`` -- anything. OUTPUT: - 0 if ``right`` is of the same type as ``self`` and their rays are the same and listed in the same order. 1 or -1 otherwise. TESTS:: sage: c1 = Cone([(1,0), (0,1)]) sage: c2 = Cone([(0,1), (1,0)]) sage: c3 = Co...
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def eval(self, command, **kwds): """ Evaluates commands.
def eval(self, command, *args, **kwds): """ Evaluates commands.
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def version(self): """ Returns the version of the Scilab software used.
def version(self): """ Returns the version of the Scilab software used.
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def dimension(self): r""" Returns the dimension of this code. EXAMPLES:: sage: G = matrix(GF(2),[[1,0,0],[1,1,0]]) sage: C = LinearCode(G) sage: C.dimension() 2 """ return self.__dim
def dimension(self): r""" Returns the dimension of this code. EXAMPLES:: sage: G = matrix(GF(2),[[1,0,0],[1,1,0]]) sage: C = LinearCode(G) sage: C.dimension() 2 """ return self.__dim
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def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd. INPUT: - ``i`` - Type number OUTPUT: - Pair ``(v, m)`` as in Duursama [D]_ REFERENCES: - [D] - I. Duursma, "Extremal weight enum...
def sd_duursma_data(C, i): r""" Returns the Duursma data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd. INPUT: - ``i`` - Type number OUTPUT: - Pair ``(v, m)`` as in Duursama [D]_ REFERENCES: - [D] - I. Duursma, "Extremal weight enume...
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def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd. INPUT: - ``i`` - Type number OUTPUT: - Pair ``(v, m)`` as in Duursama [D]_ REFERENCES: - [D] - I. Duursma, "Extremal weight enum...
def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd. INPUT: - ``i`` - Type number OUTPUT: - Pair ``(v, m)`` as in Duursma [D]_ REFERENCES: - [D] - I. Duursma, "Extremal weight enume...
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def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd. INPUT: - ``i`` - Type number OUTPUT: - Pair ``(v, m)`` as in Duursama [D]_ REFERENCES: - [D] - I. Duursma, "Extremal weight enum...
def sd_duursma_data(C, i): r""" Returns the Duursama data `v` and `m` of this formally s.d. code `C` and the type number `i` in (1,2,3,4). Does *not* check if this code is actually sd. INPUT: - ``i`` - Type number OUTPUT: - Pair ``(v, m)`` as in Duursama [D]_ REFERENCES: .. [D] I. Duursma, "Extremal weight enume...
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def sd_duursma_q(C,i,d0): r""" INPUT: - ``C`` - sd code; does *not* check if `C` is actually an sd code - ``i`` - Type number, one of 1,2,3,4 - ``d0`` - Divisor, the smallest integer such that each `A_i > 0` iff `i` is divisible by `d0` OUTPUT: - Coefficients `q_0, q_1, ...` of `q(T)` as in Duursama [D]_ REFEREN...
def sd_duursma_q(C,i,d0): r""" INPUT: - ``C`` - sd code; does *not* check if `C` is actually an sd code - ``i`` - Type number, one of 1,2,3,4 - ``d0`` - Divisor, the smallest integer such that each `A_i > 0` iff `i` is divisible by `d0` OUTPUT: - Coefficients `q_0, q_1, ...` of `q(T)` as in Duursma [D]_ REFERENC...
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def strip_answer(self, s): """ Returns the string s with Matlab's answer prompt removed. EXAMPLES:: sage: s = '\nans =\n\n 2\n' sage: matlab.strip_answer(s) ' 2' """ i = s.find('=') return s[i+1:].strip('\n')
def strip_answer(self, s): r""" Returns the string s with Matlab's answer prompt removed. EXAMPLES:: sage: s = '\nans =\n\n 2\n' sage: matlab.strip_answer(s) ' 2' r""" i = s.find('=') return s[i+1:].strip('\n')
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def is_identity(self): r""" Returns ``True`` if ``self`` is the identity morphism. EXAMPLES::
def is_identity(self): r""" Returns ``True`` if ``self`` is the identity morphism. EXAMPLES::
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def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
def random_element(self, prec=None, *args, **kwds): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up t...
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def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such ...
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def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - Integer specifying precision of output (default: default precision of self) - ``*args, **kwds`` - Passed on to the ``random_element`` method for the base ring OUTPUT: - ``power series`` - a power series such that...
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def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - Power series with precision ``prec`` whose coefficients are random elements from the base r...
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def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
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def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
def random_element(self, prec, bound=None): r""" Return a random power series. INPUT: - ``prec`` - an integer - ``bound`` - an integer (default: None, which tries to spread choice across ring, if implemented) OUTPUT: - ``power series`` - a power series such that the coefficient of `x^i`, for `i` up to ``degr...
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def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
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def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
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def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
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def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
def TESTS:: sage: solve([sin(x)==x,y^2==x],x,y) [sin(x) == x, y^2 == x] sage: solve(0==1,x) Traceback (most recent call last): ... TypeError: object of type 'bool' has no len() Test if the empty list is returned, too, when (a list of) dictionaries (is) are requested ( sage: solve([0==1],x) [] sage: solve([0==1],x,so...
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def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
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def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
def solve(f, *args, **kwds): r""" Algebraically solve an equation or system of equations (over the complex numbers) for given variables. Inequalities and systems of inequalities are also supported. INPUT: - ``f`` - equation or system of equations (given by a list or tuple) - ``*args`` - variables to solve for. - ...
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def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
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def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
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def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
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def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
def solve_mod(eqns, modulus, solution_dict = False): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. By default the solutions are returned as `n`-tuples, where `n` is the number of variables appearing an...
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def solve_mod_enumerate(eqns, modulus): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. The solutions are returned as `n`-tuples, where `n` is the number of variables appearing anywhere in the given equa...
def solve_mod_enumerate(eqns, modulus): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. The solutions are returned as `n`-tuples, where `n` is the number of variables appearing anywhere in the given equa...
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def solve_mod_enumerate(eqns, modulus): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. The solutions are returned as `n`-tuples, where `n` is the number of variables appearing anywhere in the given equa...
def solve_mod_enumerate(eqns, modulus): r""" Return all solutions to an equation or list of equations modulo the given integer modulus. Each equation must involve only polynomials in 1 or many variables. The solutions are returned as `n`-tuples, where `n` is the number of variables appearing anywhere in the given equa...
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def minpoly(ex, var='x', algorithm=None, bits=None, degree=None, epsilon=0): r""" Return the minimal polynomial of self, if possible. INPUT: - ``var`` - polynomial variable name (default 'x') - ``algorithm`` - 'algebraic' or 'numerical' (default both, but with numerical first) - ``bits`` - the number of bits to ...
def minpoly(ex, var='x', algorithm=None, bits=None, degree=None, epsilon=0): r""" Return the minimal polynomial of self, if possible. INPUT: - ``var`` - polynomial variable name (default 'x') - ``algorithm`` - 'algebraic' or 'numerical' (default both, but with numerical first) - ``bits`` - the number of bits to ...
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def _limit_latex_(self, f, x, a): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f = function('f',x) sage: _limit_latex_(0, f, x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' sage: latex(limit(f, x=oo)) \lim_...
def _limit_latex_(self, f, x, a): r""" Return latex expression for limit of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _limit_latex_ sage: var('x,a') (x, a) sage: f = function('f',x) sage: _limit_latex_(0, f, x, a) '\\lim_{x \\to a}\\, f\\left(x\\right)' sage: latex(limit(f, x=oo)) \lim_...
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def _laplace_latex_(self, *args): r""" Return LaTeX expression for Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _laplace_latex_ sage: var('s,t') (s, t) sage: f = function('f',t) sage: _laplace_latex_(0,f,t,s) '\\mathcal{L}\\left(f\\left(t\\right), t, s\\right)' sage: l...
def _laplace_latex_(self, *args): r""" Return LaTeX expression for Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _laplace_latex_ sage: var('s,t') (s, t) sage: f = function('f',t) sage: _laplace_latex_(0,f,t,s) '\\mathcal{L}\\left(f\\left(t\\right), t, s\\right)' sage: l...
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def _inverse_laplace_latex_(self, *args): r""" Return LaTeX expression for inverse Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _inverse_laplace_latex_ sage: var('s,t') (s, t) sage: F = function('F',s) sage: _inverse_laplace_latex_(0,F,s,t) '\\mathcal{L}^{-1}\\left(F\\...
def _inverse_laplace_latex_(self, *args): r""" Return LaTeX expression for inverse Laplace transform of a symbolic function. EXAMPLES:: sage: from sage.calculus.calculus import _inverse_laplace_latex_ sage: var('s,t') (s, t) sage: F = function('F',s) sage: _inverse_laplace_latex_(0,F,s,t) '\\mathcal{L}^{-1}\\left(F\\...
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def row_stabilizer(self): """ Return the PermutationGroup corresponding to the row stabilizer of self. EXAMPLES:: sage: rs = Tableau([[1,2,3],[4,5]]).row_stabilizer() sage: rs.order() == factorial(3)*factorial(2) True sage: PermutationGroupElement([(1,3,2),(4,5)]) in rs True sage: PermutationGroupElement([(1,4)]) in ...
def row_stabilizer(self): """ Return the PermutationGroup corresponding to the row stabilizer of self. EXAMPLES:: sage: rs = Tableau([[1,2,3],[4,5]]).row_stabilizer() sage: rs.order() == factorial(3)*factorial(2) True sage: PermutationGroupElement([(1,3,2),(4,5)]) in rs True sage: PermutationGroupElement([(1,4)]) in ...
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def homchain(complex=None, **kwds): r""" Compute the homology of a chain complex using the CHomP program ``homchain``. :param complex: a chain complex :param generators: if True, also return list of generators :type generators: boolean; optional, default False :param verbose: if True, print helpful messages as the com...
def homchain(complex=None, **kwds): r""" Compute the homology of a chain complex using the CHomP program ``homchain``. :param complex: a chain complex :param generators: if True, also return list of generators :type generators: boolean; optional, default False :param verbose: if True, print helpful messages as the com...
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def prime_to_S_part(self,S): r""" This function returns the part of the fractional ideal self which is coprime to the prime ideals in the list S NOTE: This function assumes S is a list of prime ideals, it does not check this. This function will fail if S is not a list of prime ideals. INPUT: - "self" - fractional ide...
def prime_to_S_part(self,S): r""" Return the part of this fractional ideal which is coprime to the prime ideals in the list ``S``. .. note:: This function assumes that `S` is a list of prime ideals, but does not check this. This function will fail if `S` is not a list of prime ideals. INPUT: - "self" - fractional i...
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def prime_to_S_part(self,S): r""" This function returns the part of the fractional ideal self which is coprime to the prime ideals in the list S NOTE: This function assumes S is a list of prime ideals, it does not check this. This function will fail if S is not a list of prime ideals. INPUT: - "self" - fractional ide...
def prime_to_S_part(self,S): r""" This function returns the part of the fractional ideal self which is coprime to the prime ideals in the list S NOTE: This function assumes S is a list of prime ideals, it does not check this. This function will fail if S is not a list of prime ideals. INPUT: - `S` - a list of prime ...
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def prime_to_S_part(self,S): r""" This function returns the part of the fractional ideal self which is coprime to the prime ideals in the list S NOTE: This function assumes S is a list of prime ideals, it does not check this. This function will fail if S is not a list of prime ideals. INPUT: - "self" - fractional ide...
def prime_to_S_part(self,S): r""" This function returns the part of the fractional ideal self which is coprime to the prime ideals in the list S NOTE: This function assumes S is a list of prime ideals, it does not check this. This function will fail if S is not a list of prime ideals. INPUT: - "self" - fractional ide...
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def is_S_unit(self,S): r''' Returns True if the ideal is an unit with respect to the
def is_S_unit(self,S): r''' Returns True if the ideal is an unit with respect to the
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def is_S_unit(self,S): r''' Returns True if the ideal is an unit with respect to the
def is_S_unit(self,S): r""" Returns True if the ideal is an unit with respect to the
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def is_S_integral(self,S): r''' Returns True if the ideal is an unit with respect to the
def is_S_integral(self,S): r''' Returns True if the ideal is an unit with respect to the
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def is_S_integral(self,S): r''' Returns True if the ideal is an unit with respect to the
def is_S_integral(self,S): r""" Returns True if the ideal is an unit with respect to the
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def iterated_right_palindromic_closure(self, f=None, algorithm='recursive'): r""" Returns the iterated (`f`-)palindromic closure of self. INPUT:
def iterated_right_palindromic_closure(self, f=None, algorithm='recursive'): r""" Returns the iterated (`f`-)palindromic closure of self. INPUT:
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def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def find(self, sub, start=0, end=None): r""" Returns the index of the first occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
def rfind(self, sub, start=0, end=None): r""" Returns the index of the last occurrence of sub in self, such that sub is contained within self[start:end]. Returns -1 on failure. INPUT:
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def E2(self,prec=20): r""" Returns the value of the `p`-adic Eisenstein series of weight 2 evaluated on the elliptic curve having split multiplicative reduction.
def E2(self,prec=20): r""" Returns the value of the `p`-adic Eisenstein series of weight 2 evaluated on the elliptic curve having split multiplicative reduction.
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def __call__(self, P): r""" Returns a rational point P in the abstract Homset J(K), given: 0. A point P in J = Jac(C), returning P; 1. A point P on the curve C such that J = Jac(C), where C is an odd degree model, returning [P - oo]; 2. A pair of points (P, Q) on the curve C such that J = Jac(C), returning [P-Q]; 2. A...
def __call__(self, P): r""" Returns a rational point P in the abstract Homset J(K), given: 0. A point P in J = Jac(C), returning P; 1. A point P on the curve C such that J = Jac(C), where C is an odd degree model, returning [P - oo]; 2. A pair of points (P, Q) on the curve C such that J = Jac(C), returning [P-Q]; 2. A...
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def _call_(self, x): r""" TEST::
def _call_(self, x): r""" TEST::
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def _discrete_log(self,x): # EVEN DUMBER IMPLEMENTATION! u = [y for y in self.list() if y.element() == x] if len(u) == 0: raise TypeError, "Not in group" if len(u) > 1: raise NotImplementedError return u[0]
def _discrete_log(self,x): # EVEN DUMBER IMPLEMENTATION! u = [y for y in self.list() if y.element() == x] if len(u) == 0: raise TypeError, "Not in group" if len(u) > 1: raise NotImplementedError return u[0]
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def __init__(self, bb=False, delimiters=["(", ")"]): """ Define an object that holds LaTeX global preferences. """ self._option = {} self._option["blackboard_bold"] = bb self._option["matrix_delimiters"] = list(delimiters) self._option["vector_delimiters"] = list(delimiters) self._option["macros"] = "" self._option["pr...
def __init__(self, bb=False, delimiters=["(", ")"]): """ Define an object that holds LaTeX global preferences. """ self._option = {} self._option["blackboard_bold"] = bb self._option["matrix_delimiters"] = list(delimiters) self._option["vector_delimiters"] = list(delimiters) self._option["macros"] = "" self._option["pr...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, engine=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't convert...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if engine is either ``pdflatex`` or ``xelatex'') and if ``png`` is True, "filename.png". If ``png`` is True an...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
def _run_latex_(filename, debug=False, density=150, pdflatex=None, png=False, do_in_background=False): """ This runs LaTeX on the TeX file "filename.tex". It produces files "filename.dvi" (or "filename.pdf"` if ``pdflatex`` is ``True``) and if ``png`` is True, "filename.png". If ``png`` is True and dvipng can't conve...
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def __init__(self, debug=False, slide=False, density=150, pdflatex=None): self.__debug = debug self.__slide = slide self.__pdflatex = pdflatex self.__density = density
def __init__(self, debug=False, slide=False, density=150, pdflatex=None, engine=None): self.__debug = debug self.__slide = slide self.__pdflatex = pdflatex self.__density = density
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def _relation_symbols(self): """ Returns a dictionary whose keys are attributes of the :mod:`operator` module and whose values are the corresponding LaTeX expressions. EXAMPLES::
def_relation_symbols(self):"""Returnsadictionarywhosekeysareattributesofthe:mod:`operator`moduleandwhosevaluesarethecorrespondingLaTeXexpressions.EXAMPLES::
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def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, engine=None, locals={}): """ INPUT:
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def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
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def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
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def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
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def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
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def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
def eval(self, x, globals, strip=False, filename=None, debug=None, density=None, pdflatex=None, locals={}): """ INPUT:
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def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
def pdflatex(self, t = None): """ This is deprecated. Use engine("pdflatex") instead. Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
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def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
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def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
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def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
def pdflatex(self, t = None): """ Controls whether Sage uses PDFLaTeX or LaTeX when typesetting with :func:`view`, in ``%latex`` cells, etc. INPUT: - ``t`` -- boolean or None
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def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, engine=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. ...
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def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
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def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
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def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
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def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
def view(objects, title='SAGE', debug=False, sep='', tiny=False, pdflatex=None, viewer = None, tightpage = None, mode='inline', **kwds): r"""nodetex Compute a latex representation of each object in objects, compile, and display typeset. If used from the command line, this requires that latex be installed. INPUT: - `...
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