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def old_cremona_letter_code(n): r""" Returns the *old* Cremona letter code corresponding to an integer. integer. For example, :: 1 --> A 26 --> Z 27 --> AA 52 --> ZZ 53 --> AAA etc. INPUT: - ``n`` - int OUTPUT: str EXAMPLES:: sage: old_cremona_letter_code(1) 'A' sage: old_cremona_letter_code(26) 'Z' sage: ol...
def old_cremona_letter_code(n): r""" Returns the *old* Cremona letter code corresponding to an integer. integer. For example:: 1 --> A 26 --> Z 27 --> AA 52 --> ZZ 53 --> AAA etc. INPUT: - ``n`` - int OUTPUT: str EXAMPLES:: sage: old_cremona_letter_code(1) 'A' sage: old_cremona_letter_code(26) 'Z' sage: old_...
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def __iter__(self): """ Returns an iterator through all EllipticCurve objects in the Cremona database.
def __iter__(self): """ Returns an iterator through all EllipticCurve objects in the Cremona database.
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def iter(self, conductors): """ Returns an iterator through all curves with conductor between Nmin and Nmax-1, inclusive, in the database. INPUT: - ``conductors`` - list or generator of ints OUTPUT: generator that iterates over EllipticCurve objects.
def iter(self, conductors): """ Return an iterator through all curves in the database with given conductors. INPUT: - ``conductors`` - list or generator of ints OUTPUT: generator that iterates over EllipticCurve objects.
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def iter_optimal(self, conductors): """ Returns an iterator through all optimal curves with conductor between Nmin and Nmax-1 in the database. INPUT:
def iter_optimal(self, conductors): """ Return an iterator through all optimal curves in the database with given conductors. INPUT:
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def list(self, conductors): """ Returns a list of all curves with conductor between Nmin and Nmax-1, inclusive, in the database. INPUT: - ``conductors`` - list or generator of ints OUTPUT: - list of EllipticCurve objects.
def list(self, conductors): """ Returns a list of all curves with given conductors. INPUT: - ``conductors`` - list or generator of ints OUTPUT: - list of EllipticCurve objects.
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def list_optimal(self, conductors): """ Returns a list of all optimal curves with conductor between Nmin and Nmax-1, inclusive, in the database. INPUT: - ``conductors`` - list or generator of ints list of EllipticCurve objects. OUTPUT: list of EllipticCurve objects.
def list_optimal(self, conductors): """ Returns a list of all optimal curves with given conductors. INPUT: - ``conductors`` - list or generator of ints list of EllipticCurve objects. OUTPUT: list of EllipticCurve objects.
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def smallest_conductor(self): """ The smallest conductor for which the database is complete. (Always 1.) OUTPUT: - ``int`` - smallest conductor EXAMPLES:: sage: CremonaDatabase().smallest_conductor() 1 """ return 1
def smallest_conductor(self): """ The smallest conductor for which the database is complete: always 1. OUTPUT: - ``int`` - smallest conductor EXAMPLES:: sage: CremonaDatabase().smallest_conductor() 1 """ return 1
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def conductor_range(self): """ Return the range of conductors that are covered by the database. OUTPUT: - ``int`` - smallest cond - ``int`` - largest conductor plus one EXAMPLES:: sage: from sage.databases.cremona import LargeCremonaDatabase # optional - database_cremona_ellcurve sage: c = LargeCremonaDatabas...
def conductor_range(self): """ Return the range of conductors that are covered by the database. OUTPUT: tuple of ints (N1,N2+1) where N1 is the smallest and N2 the largest conductor for which the database is complete. EXAMPLES:: sage: from sage.databases.cremona import LargeCremonaDatabase # optional - database_c...
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def _init_allgens(self, ftpdata, largest_conductor=0): """ Initialize the allgens table by reading the corresponding ftpdata files and importing them into the database. """ if self.read_only: raise RuntimeError, "The database must not be read_only." files = os.listdir(ftpdata) files.sort() name = "allgens" c = _map[nam...
def _init_allgens(self, ftpdata, largest_conductor=0): """ Initialize the allgens table by reading the corresponding ftpdata files and importing them into the database. """ if self.read_only: raise RuntimeError, "The database must not be read_only." files = os.listdir(ftpdata) files.sort() name = "allgens" c = _map[nam...
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sage: def naive_height(P):
sage: def naive_height(P):
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def change_weierstrass_model(self, *urst): r""" Return a new Weierstrass model of self under the standard transformation `(u,r,s,,t)` .. math:: (x,y) \mapsto (x',y') = (u^2xr , u^3y + su^2x' + t). EXAMPLES:: sage: E = EllipticCurve('15a') sage: F1 = E.change_weierstrass_model([1/2,0,0,0]); F1 Elliptic Curve define...
def change_weierstrass_model(self, *urst): r""" Return a new Weierstrass model of self under the standard transformation `(u,r,s,t)` .. math:: (x,y) \mapsto (x',y') = (u^2xr , u^3y + su^2x' + t). EXAMPLES:: sage: E = EllipticCurve('15a') sage: F1 = E.change_weierstrass_model([1/2,0,0,0]); F1 Elliptic Curve defined...
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def change_weierstrass_model(self, *urst): r""" Return a new Weierstrass model of self under the standard transformation `(u,r,s,,t)` .. math:: (x,y) \mapsto (x',y') = (u^2xr , u^3y + su^2x' + t). EXAMPLES:: sage: E = EllipticCurve('15a') sage: F1 = E.change_weierstrass_model([1/2,0,0,0]); F1 Elliptic Curve define...
def change_weierstrass_model(self, *urst): r""" Return a new Weierstrass model of self under the standard transformation `(u,r,s,,t)` .. math:: (x,y) \mapsto (x',y') = (u^2x + r , u^3y + su^2x + t). EXAMPLES:: sage: E = EllipticCurve('15a') sage: F1 = E.change_weierstrass_model([1/2,0,0,0]); F1 Elliptic Curve defi...
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def run(self, category = None, skip = [], catch = True, raise_on_failure = False, **options): """ Run all the tests from this test suite:
def run(self, category = None, skip = [], catch = True, raise_on_failure = False, **options): """ Run all the tests from this test suite:
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def run(self, category = None, skip = [], catch = True, raise_on_failure = False, **options): """ Run all the tests from this test suite:
def run(self, category = None, skip = [], catch = True, raise_on_failure = False, **options): """ Run all the tests from this test suite:
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def instance_tester(instance, tester = None, **options): """ Returns a gadget attached to ``instance`` providing testing utilities. EXAMPLES:: sage: from sage.misc.sage_unittest import instance_tester sage: tester = instance_tester(ZZ) sage: tester.assert_(1 == 1) sage: tester.assert_(1 == 0) Traceback (most recent ...
def instance_tester(instance, tester = None, **options): """ Returns a gadget attached to ``instance`` providing testing utilities. EXAMPLES:: sage: from sage.misc.sage_unittest import instance_tester sage: tester = instance_tester(ZZ) sage: tester.assert_(1 == 1) sage: tester.assert_(1 == 0) Traceback (most recent ...
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def __init__(self, instance, elements = None, verbose = False, prefix = "", **options): """ A gadget attached to an instance providing it with testing utilities.
def __init__(self, instance, elements = None, verbose = False, prefix = "", **options): """ A gadget attached to an instance providing it with testing utilities.
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def __contains__(self, x): """ Returns True if x is contained in self.
def __contains__(self, x): """ Returns True if x is contained in self.
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def _eval_(self, x): """ EXAMPLES::
def _eval_(self, x): """ EXAMPLES::
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def _eval_(self, x): """ EXAMPLES::
def _eval_(self, x): """ EXAMPLES::
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def _eval_(self, x): """ EXAMPLES::
def _eval_(self, x): """ EXAMPLES::
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def squarefree_part(x): """ Returns the square free part of `x`, i.e., a divisor `z` such that `x = z y^2`, for a perfect square `y^2`. EXAMPLES:: sage: squarefree_part(100) 1 sage: squarefree_part(12) 3 sage: squarefree_part(10) 10 :: sage: x = QQ['x'].0 sage: S = squarefree_part(-9*x*(x-6)^7*(x-3)^2); S -9*x^2 + ...
def squarefree_part(x): """ Returns the square free part of `x`, i.e., a divisor `z` such that `x = z y^2`, for a perfect square `y^2`. EXAMPLES:: sage: squarefree_part(100) 1 sage: squarefree_part(12) 3 sage: squarefree_part(10) 10 :: sage: x = QQ['x'].0 sage: S = squarefree_part(-9*x*(x-6)^7*(x-3)^2); S -9*x^2 + ...
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def face_lattice(self): """ Computes the face-lattice poset. Elements are tuples of (vertices, facets) - i.e. this keeps track of both the vertices in each face, and all the facets containing them.
def face_lattice(self): """ Computes the face-lattice poset. Elements are tuples of (vertices, facets) - i.e. this keeps track of both the vertices in each face, and all the facets containing them.
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def max_cut(self, value_only=True, use_edge_labels=True, vertices=False, solver=None, verbose=0): r""" Returns a maximum edge cut of the graph. For more information, see the `Wikipedia article on cuts <http://en.wikipedia.org/wiki/Cut_%28graph_theory%29>`_. INPUT:
def max_cut(self, value_only=True, use_edge_labels=True, vertices=False, solver=None, verbose=0): r""" Returns a maximum edge cut of the graph. For more information, see the `Wikipedia article on cuts <http://en.wikipedia.org/wiki/Cut_%28graph_theory%29>`_. INPUT:
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def max_cut(self, value_only=True, use_edge_labels=True, vertices=False, solver=None, verbose=0): r""" Returns a maximum edge cut of the graph. For more information, see the `Wikipedia article on cuts <http://en.wikipedia.org/wiki/Cut_%28graph_theory%29>`_. INPUT:
def max_cut(self, value_only=True, use_edge_labels=True, vertices=False, solver=None, verbose=0): r""" Returns a maximum edge cut of the graph. For more information, see the `Wikipedia article on cuts <http://en.wikipedia.org/wiki/Cut_%28graph_theory%29>`_. INPUT:
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def max_cut(self, value_only=True, use_edge_labels=True, vertices=False, solver=None, verbose=0): r""" Returns a maximum edge cut of the graph. For more information, see the `Wikipedia article on cuts <http://en.wikipedia.org/wiki/Cut_%28graph_theory%29>`_. INPUT:
def max_cut(self, value_only=True, use_edge_labels=True, vertices=False, solver=None, verbose=0): r""" Returns a maximum edge cut of the graph. For more information, see the `Wikipedia article on cuts <http://en.wikipedia.org/wiki/Cut_%28graph_theory%29>`_. INPUT:
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def flow(self, x, y, value_only=True, integer=False, use_edge_labels=True, vertex_bound=False, solver=None, verbose=0): r""" Returns a maximum flow in the graph from ``x`` to ``y`` represented by an optimal valuation of the edges. For more information, see the `Wikipedia article on maximum flow <http://en.wikipedia.org...
def flow(self, x, y, value_only=True, integer=False, use_edge_labels=True, vertex_bound=False, solver=None, verbose=0): r""" Returns a maximum flow in the graph from ``x`` to ``y`` represented by an optimal valuation of the edges. For more information, see the `Wikipedia article on maximum flow <http://en.wikipedia.org...
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def flow(self, x, y, value_only=True, integer=False, use_edge_labels=True, vertex_bound=False, solver=None, verbose=0): r""" Returns a maximum flow in the graph from ``x`` to ``y`` represented by an optimal valuation of the edges. For more information, see the `Wikipedia article on maximum flow <http://en.wikipedia.org...
def flow(self, x, y, value_only=True, integer=False, use_edge_labels=True, vertex_bound=False, solver=None, verbose=0): r""" Returns a maximum flow in the graph from ``x`` to ``y`` represented by an optimal valuation of the edges. For more information, see the `Wikipedia article on maximum flow <http://en.wikipedia.org...
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def dominating_set(self, independent=False, value_only=False, solver=None, verbose=0): r""" Returns a minimum dominating set of the graph represented by the list of its vertices. For more information, see the `Wikipedia article on dominating sets <http://en.wikipedia.org/wiki/Dominating_set>`_.
def dominating_set(self, independent=False, value_only=False, solver=None, verbose=0): r""" Returns a minimum dominating set of the graph represented by the list of its vertices. For more information, see the `Wikipedia article on dominating sets <http://en.wikipedia.org/wiki/Dominating_set>`_.
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def dominating_set(self, independent=False, value_only=False, solver=None, verbose=0): r""" Returns a minimum dominating set of the graph represented by the list of its vertices. For more information, see the `Wikipedia article on dominating sets <http://en.wikipedia.org/wiki/Dominating_set>`_.
def dominating_set(self, independent=False, value_only=False, solver=None, verbose=0): r""" Returns a minimum dominating set of the graph represented by the list of its vertices. For more information, see the `Wikipedia article on dominating sets <http://en.wikipedia.org/wiki/Dominating_set>`_.
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def dominating_set(self, independent=False, value_only=False, solver=None, verbose=0): r""" Returns a minimum dominating set of the graph represented by the list of its vertices. For more information, see the `Wikipedia article on dominating sets <http://en.wikipedia.org/wiki/Dominating_set>`_.
def dominating_set(self, independent=False, value_only=False, solver=None, verbose=0): r""" Returns a minimum dominating set of the graph represented by the list of its vertices. For more information, see the `Wikipedia article on dominating sets <http://en.wikipedia.org/wiki/Dominating_set>`_.
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def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def edge_connectivity(self, value_only=True, use_edge_labels=False, vertices=False, solver=None, verbose=0): r""" Returns the edge connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def vertex_connectivity(self, value_only=True, sets=False, solver=None, verbose=0): r""" Returns the vertex connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def vertex_connectivity(self, value_only=True, sets=False, solver=None, verbose=0): r""" Returns the vertex connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def vertex_connectivity(self, value_only=True, sets=False, solver=None, verbose=0): r""" Returns the vertex connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def vertex_connectivity(self, value_only=True, sets=False, solver=None, verbose=0): r""" Returns the vertex connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def vertex_connectivity(self, value_only=True, sets=False, solver=None, verbose=0): r""" Returns the vertex connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
def vertex_connectivity(self, value_only=True, sets=False, solver=None, verbose=0): r""" Returns the vertex connectivity of the graph. For more information, see the `Wikipedia article on connectivity <http://en.wikipedia.org/wiki/Connectivity_(graph_theory)>`_. INPUT:
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def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
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def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
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def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
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def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
def layout_graphviz(self, dim = 2, prog = 'dot', **options): """ Calls ``graphviz`` to compute a layout of the vertices of this graph.
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): r""" Enumerates projective, rational points on scheme ``X`` of height up to bound ``B``. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, s...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme; - ``B`` - a positive integer bound. OUTPUT: - a list containing the projective points of X of height up to B, sorted. ...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of ``X`` of height up to ``B``, so...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
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def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
def enum_projective_rational_field(X,B): """ Enumerates projective, rational points on scheme X of height up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme. - ``B`` - a positive integer bound OUTPUT: - a list containing the projective points of X of height up to B, sorted. E...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme ``X`` (defined over `\QQ`) up to bound ``B``. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorte...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme; - ``B`` - a positive integer bound. OUTPUT: - a list containing the affine points of X of height up to B, sorted. EX...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of ``X`` of height up to ``B``, sorte...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
defenum_affine_rational_field(X,B):"""EnumeratesaffinerationalpointsonschemeX(definedover`\QQ`)uptoboundB.INPUT:-``X``-aschemeorsetofabstractrationalpointsofascheme-``B``-apositiveintegerboundOUTPUT:-alistcontainingtheaffinepointsofXofheightuptoB,sorted.EXAMPLES::sage:A.<x,y,z>=AffineSpace(3,QQ)sage:fromsage.schemes.ge...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
def enum_affine_rational_field(X,B): """ Enumerates affine rational points on scheme X (defined over `\QQ`) up to bound B. INPUT: - ``X`` - a scheme or set of abstract rational points of a scheme - ``B`` - a positive integer bound OUTPUT: - a list containing the affine points of X of height up to B, sorted. EXAM...
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def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
def enum_projective_finite_field(X): """ Enumerates projective points on scheme ``X`` defined over a finite field. INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES...
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def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or a set of abstract rational points of such a scheme. OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES::...
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def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of ``X`` over the finite field, sorted. EXAMPLES...
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def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
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def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
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def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
def enum_projective_finite_field(X): """ Enumerates projective points on scheme X defined over a finite field INPUT: - ``X`` - a scheme defined over a finite field or set of abstract rational points of such a scheme OUTPUT: - a list containing the projective points of X over the finite field, sorted EXAMPLES:: s...
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... def __reduce__(self):
... def __reduce__(self):
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def _compute_faces(self): r""" Compute and cache faces of this polytope. If this polytope is reflexive and the polar polytope was already computed, computes faces of both in order to save time and preserve the one-to-one correspondence between the faces of this polytope of dimension d and the faces of the polar polyto...
def _compute_faces(self): r""" Compute and cache faces of this polytope. If this polytope is reflexive and the polar polytope was already computed, computes faces of both in order to save time and preserve the one-to-one correspondence between the faces of this polytope of dimension d and the faces of the polar polyto...
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def faces(self, dim=None, codim=None): r""" Return the sequence of faces of this polytope. If ``dim`` or ``codim`` are specified, returns a sequence of faces of the corresponding dimension or codimension. Otherwise returns the sequence of such sequences for all dimensions. EXAMPLES: All faces of the 3-dimensional oct...
def faces(self, dim=None, codim=None): r""" Return the sequence of proper faces of this polytope. If ``dim`` or ``codim`` are specified, returns a sequence of faces of the corresponding dimension or codimension. Otherwise returns the sequence of such sequences for all dimensions. EXAMPLES: All faces of the 3-dimensio...
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def points(self): r""" Return all lattice points of this polytope as columns of a matrix. EXAMPLES: The lattice points of the 3-dimensional octahedron and its polar cube:: sage: o = lattice_polytope.octahedron(3) sage: o.points() [ 1 0 0 -1 0 0 0] [ 0 1 0 0 -1 0 0] [ 0 0 1 0 0 -1 0] sage: cube = o.pola...
def points(self): r""" Return all lattice points of this polytope as columns of a matrix. EXAMPLES: The lattice points of the 3-dimensional octahedron and its polar cube:: sage: o = lattice_polytope.octahedron(3) sage: o.points() [ 1 0 0 -1 0 0 0] [ 0 1 0 0 -1 0 0] [ 0 0 1 0 0 -1 0] sage: cube = o.pola...
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def __cmp__(self, right): r""" Compare ``self`` and ``right``.
def __cmp__(self, right): r""" Compare ``self`` and ``right``.
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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 example(self): """ Returns an example of finite permutation group, as per :meth:`Category.example`.
def example(self): """ Returns an example of finite permutation group, as per :meth:`Category.example`.
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def search_doc(string, extra1='', extra2='', extra3='', extra4='', extra5='', **kwds): """ Search Sage HTML documentation for lines containing ``string``. The search is case-sensitive. The file paths in the output are relative to ``$SAGE_ROOT/devel/sage/doc/output``. INPUT: same as for :func:`search_src`. OUTPUT: sa...
def search_doc(string, extra1='', extra2='', extra3='', extra4='', extra5='', **kwds): """ Search Sage HTML documentation for lines containing ``string``. The search is case-sensitive. The file paths in the output are relative to ``$SAGE_ROOT/devel/sage/doc/output``. INPUT: same as for :func:`search_src`. OUTPUT: sa...
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def gale_ryser_theorem(p1, p2, algorithm="ryser"): r""" Returns the binary matrix given by the Gale-Ryser theorem. The Gale Ryser theorem asserts that if `p_1,p_2` are two partitions of `n` of respective lengths `k_1,k_2`, then there is a binary `k_1\times k_2` matrix `M` such that `p_1` is the vector of row sums and ...
def gale_ryser_theorem(p1, p2, algorithm="ryser"): r""" Returns the binary matrix given by the Gale-Ryser theorem. The Gale Ryser theorem asserts that if `p_1,p_2` are two partitions of `n` of respective lengths `k_1,k_2`, then there is a binary `k_1\times k_2` matrix `M` such that `p_1` is the vector of row sums and ...
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def gale_ryser_theorem(p1, p2, algorithm="ryser"): r""" Returns the binary matrix given by the Gale-Ryser theorem. The Gale Ryser theorem asserts that if `p_1,p_2` are two partitions of `n` of respective lengths `k_1,k_2`, then there is a binary `k_1\times k_2` matrix `M` such that `p_1` is the vector of row sums and ...
def gale_ryser_theorem(p1, p2, algorithm="ryser"): r""" Returns the binary matrix given by the Gale-Ryser theorem. The Gale Ryser theorem asserts that if `p_1,p_2` are two partitions of `n` of respective lengths `k_1,k_2`, then there is a binary `k_1\times k_2` matrix `M` such that `p_1` is the vector of row sums and ...
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def __init__(self, maxread=10000, script_subdirectory=None, logfile=None, server=None, server_tmpdir=None, user_config=False): """ INPUT: - ``maxread`` - affects buffering - ``script_subdirectory`` - directory where scripts are read from - ``logfile`` - output logged to this file - ``server`` - address of remo...
def __init__(self, maxread=10000, script_subdirectory=None, logfile=None, server=None, server_tmpdir=None, user_config=False): """ INPUT: - ``maxread`` - affects buffering - ``script_subdirectory`` - directory where scripts are read from - ``logfile`` - output logged to this file - ``server`` - address of remo...
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def magma_console(): """ Run a command line Magma session. EXAMPLES:: sage: magma_console() # not tested Magma V2.14-9 Sat Oct 11 2008 06:36:41 on one [Seed = 1157408761] Type ? for help. Type <Ctrl>-D to quit. > Total time: 2.820 seconds, Total memory usage: 3.95MB """ console('magma')
def magma_console(): """ Run a command line Magma session. EXAMPLES:: sage: magma_console() # not tested Magma V2.14-9 Sat Oct 11 2008 06:36:41 on one [Seed = 1157408761] Type ? for help. Type <Ctrl>-D to quit. > Total time: 2.820 seconds, Total memory usage: 3.95MB """ console('sage-native-exec...
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def iter_morphisms(self, arg=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
def iter_morphisms(self, arg=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, arg=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
def iter_morphisms(self, arg=None, codomain=None, min_length=1): r""" Iterate over all morphisms with domain ``self`` and the given codmain.
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def sage_getvariablename(obj, omit_underscore_names=True): """ Attempt to get the name of a Sage object. INPUT: - ``obj`` - an object - ``omit_underscore_names`` (optional, default True) If the user has assigned an object ``obj`` to a variable name, then return that variable name. If several variables point to ``ob...
def sage_getvariablename(obj, omit_underscore_names=True): """ Attempt to get the name of a Sage object. INPUT: - ``obj`` - an object - ``omit_underscore_names`` (optional, default True) If the user has assigned an object ``obj`` to a variable name, then return that variable name. If several variables point to ``ob...
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def sage_getvariablename(obj, omit_underscore_names=True): """ Attempt to get the name of a Sage object. INPUT: - ``obj`` - an object - ``omit_underscore_names`` (optional, default True) If the user has assigned an object ``obj`` to a variable name, then return that variable name. If several variables point to ``ob...
def sage_getvariablename(obj, omit_underscore_names=True): """ Attempt to get the name of a Sage object. INPUT: - ``obj`` - an object - ``omit_underscore_names`` (optional, default True) If the user has assigned an object ``obj`` to a variable name, then return that variable name. If several variables point to ``ob...
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def _magma_init_(self, magma): r""" EXAMPLES: We first coerce a square matrix. :: sage: magma(MatrixSpace(QQ,3)) # optional - magma Full Matrix Algebra of degree 3 over Rational Field :: sage: magma(MatrixSpace(Integers(8),2,3)) # optional - magma Full RMatrixSpace of 2 by 3 matrices ...
def _magma_init_(self, magma): r""" EXAMPLES: We first coerce a square matrix. :: sage: magma(MatrixSpace(QQ,3)) # optional - magma Full Matrix Algebra of degree 3 over Rational Field :: sage: magma(MatrixSpace(Integers(8),2,3)) # optional - magma Full RMatrixSpace of 2 by 3 matrices ...
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def _magma_init_(self, magma): r""" EXAMPLES: We first coerce a square matrix. :: sage: magma(MatrixSpace(QQ,3)) # optional - magma Full Matrix Algebra of degree 3 over Rational Field :: sage: magma(MatrixSpace(Integers(8),2,3)) # optional - magma Full RMatrixSpace of 2 by 3 matrices ...
def _magma_init_(self, magma): r""" EXAMPLES: We first coerce a square matrix. :: sage: magma(MatrixSpace(QQ,3)) # optional - magma Full Matrix Algebra of degree 3 over Rational Field :: sage: magma(MatrixSpace(Integers(8),2,3)) # optional - magma Full RMatrixSpace of 2 by 3 matrices ...
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def _magma_init_(self, magma): r""" EXAMPLES: We first coerce a square matrix. :: sage: magma(MatrixSpace(QQ,3)) # optional - magma Full Matrix Algebra of degree 3 over Rational Field :: sage: magma(MatrixSpace(Integers(8),2,3)) # optional - magma Full RMatrixSpace of 2 by 3 matrices ...
def _magma_init_(self, magma): r""" EXAMPLES: We first coerce a square matrix. :: sage: magma(MatrixSpace(QQ,3)) # optional - magma Full Matrix Algebra of degree 3 over Rational Field :: sage: magma(MatrixSpace(Integers(8),2,3)) # optional - magma Full RMatrixSpace of 2 by 3 matrices ...
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def modular_symbol(self, sign=1, use_eclib = False, normalize = "L_ratio"): r""" Return the modular symbol associated to this elliptic curve, with given sign and base ring. This is the map that sends `r/s` to a fixed multiple of the integral of `2 \pi i f(z) dz` from `\infty` to `r/s`, normalized so that all values of...
def modular_symbol(self, sign=1, use_eclib = False, normalize = "L_ratio"): r""" Return the modular symbol associated to this elliptic curve, with given sign and base ring. This is the map that sends `r/s` to a fixed multiple of the integral of `2 \pi i f(z) dz` from `\infty` to `r/s`, normalized so that all values of...
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def modular_symbol(self, sign=1, use_eclib = False, normalize = "L_ratio"): r""" Return the modular symbol associated to this elliptic curve, with given sign and base ring. This is the map that sends `r/s` to a fixed multiple of the integral of `2 \pi i f(z) dz` from `\infty` to `r/s`, normalized so that all values of...
def modular_symbol(self, sign=1, use_eclib = False, normalize = "L_ratio"): r""" Return the modular symbol associated to this elliptic curve, with given sign and base ring. This is the map that sends `r/s` to a fixed multiple of the integral of `2 \pi i f(z) dz` from `\infty` to `r/s`, normalized so that all values of...
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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.
@rename_keyword(deprecated='Sage version 4.6.1', l='arg') def iter_morphisms(self, arg=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 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 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 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 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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