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def canonical_label(self, partition=None, certify=False, verbosity=0, edge_labels=False): """ Returns the canonical label with respect to the partition. If no partition is given, uses the unit partition. INPUT: - ``partition`` - if given, the canonical label with respect to this partition will be computed. The defa...
def canonical_label(self, partition=None, certify=False, verbosity=0, edge_labels=False): """ Returns the canonical label with respect to the partition. If no partition is given, uses the unit partition. INPUT: - ``partition`` - if given, the canonical label with respect to this partition will be computed. The defa...
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def canonical_label(self, partition=None, certify=False, verbosity=0, edge_labels=False): """ Returns the canonical label with respect to the partition. If no partition is given, uses the unit partition. INPUT: - ``partition`` - if given, the canonical label with respect to this partition will be computed. The defa...
def canonical_label(self, partition=None, certify=False, verbosity=0, edge_labels=False): """ Returns the canonical label with respect to the partition. If no partition is given, uses the unit partition. INPUT: - ``partition`` - if given, the canonical label with respect to this partition will be computed. The defa...
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def canonical_label(self, partition=None, certify=False, verbosity=0, edge_labels=False): """ Returns the canonical label with respect to the partition. If no partition is given, uses the unit partition. INPUT: - ``partition`` - if given, the canonical label with respect to this partition will be computed. The defa...
def canonical_label(self, partition=None, certify=False, verbosity=0, edge_labels=False): """ Returns the canonical label with respect to the partition. If no partition is given, uses the unit partition. INPUT: - ``partition`` - if given, the canonical label with respect to this partition will be computed. The defa...
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def star_generator_indices(self): r""" Return indices of generating cones of the "ambient fan" containing ``self``.
def star_generator_indices(self): r""" Return indices of generating cones of the "ambient fan" containing ``self``.
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def WeylCharacterRing(ct, base_ring=ZZ, prefix=None, cache=False, style="lattice"): r""" A class for rings of Weyl characters. The Weyl character is a character of a semisimple (or reductive) Lie group or algebra. They form a ring, in which the addition and multiplication correspond to direct sum and tensor product of ...
def WeylCharacterRing(ct, base_ring=ZZ, prefix=None, cache=False, style="lattice"): r""" A class for rings of Weyl characters. The Weyl character is a character of a semisimple (or reductive) Lie group or algebra. They form a ring, in which the addition and multiplication correspond to direct sum and tensor product of ...
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def branch_weyl_character(chi, R, S, rule="default"): r""" A Branching rule describes the restriction of representations from a Lie group or algebra G to a smaller one. See for example, R. C. King, Branching rules for classical Lie groups using tensor and spinor methods. J. Phys. A 8 (1975), 429-449, Howe, Tan and Will...
def branch_weyl_character(chi, R, S, rule="default"): r""" A Branching rule describes the restriction of representations from a Lie group or algebra G to a smaller one. See for example, R. C. King, Branching rules for classical Lie groups using tensor and spinor methods. J. Phys. A 8 (1975), 429-449, Howe, Tan and Will...
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def branch_weyl_character(chi, R, S, rule="default"): r""" A Branching rule describes the restriction of representations from a Lie group or algebra G to a smaller one. See for example, R. C. King, Branching rules for classical Lie groups using tensor and spinor methods. J. Phys. A 8 (1975), 429-449, Howe, Tan and Will...
def branch_weyl_character(chi, R, S, rule="default"): r""" A Branching rule describes the restriction of representations from a Lie group or algebra G to a smaller one. See for example, R. C. King, Branching rules for classical Lie groups using tensor and spinor methods. J. Phys. A 8 (1975), 429-449, Howe, Tan and Will...
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def branch_weyl_character(chi, R, S, rule="default"): r""" A Branching rule describes the restriction of representations from a Lie group or algebra G to a smaller one. See for example, R. C. King, Branching rules for classical Lie groups using tensor and spinor methods. J. Phys. A 8 (1975), 429-449, Howe, Tan and Will...
def branch_weyl_character(chi, R, S, rule="default"): r""" A Branching rule describes the restriction of representations from a Lie group or algebra G to a smaller one. See for example, R. C. King, Branching rules for classical Lie groups using tensor and spinor methods. J. Phys. A 8 (1975), 429-449, Howe, Tan and Will...
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def rule(x) : x[len(x)-1] = -x[len(x)-1]; return x
def rule(x) : x[len(x)-1] = -x[len(x)-1]; return x
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def __call__(self, *args): """ Coerces the element into the ring. INPUT: - ``x`` - a ring element EXAMPLES:: sage: a2 = WeightRing(WeylCharacterRing(['A',2])) sage: a2(-1) -a2(0,0,0) """ if len(args) == 1: x = args[0] else: x = args if x == 0: return WeightRingElement(self, {}) if x in ZZ: mdict = {self._origin:...
def __call__(self, *args): """ Coerces the element into the ring. INPUT: - ``x`` - a ring element EXAMPLES:: sage: a2 = WeightRing(WeylCharacterRing(['A',2])) sage: a2(-1) -a2(0,0,0) """ if len(args) == 1: x = args[0] else: x = args if x == 0 and not x in self._space: return WeightRingElement(self, {}) if x in ...
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def cardinality(self): """ Returns the cardinality of this disjoint union.
def cardinality(self): """ Returns the cardinality of this disjoint union.
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sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
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sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
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sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
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sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
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sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
sage: 'divisors' in _search_src_or_doc('src', '^ *def prime', interact=False)
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def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'): return []...
def parse_deps(self, filename, ext_module, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'...
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def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'): return []...
def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if not is_cython_file(filename): return [] dirname = os.pa...
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def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'): return []...
def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'): return []...
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def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'): return []...
def parse_deps(self, filename, verify=True): """ Open a Cython file and extract all of its dependencies. INPUT: filename -- the file to parse verify -- only return existing files (default True) OUTPUT: list of dependency files """ # only parse cython files if filename[-4:] not in ('.pyx', '.pxd', '.pxi'): return []...
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def immediate_deps(self, filename): """ Returns a list of files directly referenced by this file. """ if (filename not in self._deps or self.timestamp(filename) < self._last_parse[filename]): self._deps[filename] = self.parse_deps(filename) self._last_parse[filename] = self.timestamp(filename) return self._deps[filenam...
def immediate_deps(self, filename, ext_module): """ Returns a list of files directly referenced by this file. """ if (filename not in self._deps or self.timestamp(filename) < self._last_parse[filename]): self._deps[filename] = self.parse_deps(filename) self._last_parse[filename] = self.timestamp(filename) return self._...
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def immediate_deps(self, filename): """ Returns a list of files directly referenced by this file. """ if (filename not in self._deps or self.timestamp(filename) < self._last_parse[filename]): self._deps[filename] = self.parse_deps(filename) self._last_parse[filename] = self.timestamp(filename) return self._deps[filenam...
def immediate_deps(self, filename): """ Returns a list of files directly referenced by this file. """ if (filename not in self._deps or self.timestamp(filename) < self._last_parse[filename]): self._deps[filename] = self.parse_deps(filename, ext_module) self._last_parse[filename] = self.timestamp(filename) return self._...
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def all_deps(self, filename, path=None): """ Returns all files directly or indirectly referenced by this file. A recursive algorithm is used here to maximize caching, but it is still robust for circular cimports (via the path parameter). """ if filename not in self._deps_all: circular = False deps = set([filename]) if...
def all_deps(self, filename, ext_module, path=None): """ Returns all files directly or indirectly referenced by this file. A recursive algorithm is used here to maximize caching, but it is still robust for circular cimports (via the path parameter). """ if filename not in self._deps_all: circular = False deps = set([f...
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def all_deps(self, filename, path=None): """ Returns all files directly or indirectly referenced by this file. A recursive algorithm is used here to maximize caching, but it is still robust for circular cimports (via the path parameter). """ if filename not in self._deps_all: circular = False deps = set([filename]) if...
def all_deps(self, filename, path=None): """ Returns all files directly or indirectly referenced by this file. A recursive algorithm is used here to maximize caching, but it is still robust for circular cimports (via the path parameter). """ if filename not in self._deps_all: circular = False deps = set([filename]) if...
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def all_deps(self, filename, path=None): """ Returns all files directly or indirectly referenced by this file. A recursive algorithm is used here to maximize caching, but it is still robust for circular cimports (via the path parameter). """ if filename not in self._deps_all: circular = False deps = set([filename]) if...
def all_deps(self, filename, path=None): """ Returns all files directly or indirectly referenced by this file. A recursive algorithm is used here to maximize caching, but it is still robust for circular cimports (via the path parameter). """ if filename not in self._deps_all: circular = False deps = set([filename]) if...
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def newest_dep(self, filename): """ Returns the most recently modified file that filename depends on, along with its timestamp. """ nfile = filename ntime = self.timestamp(filename) for f in self.all_deps(filename): if self.timestamp(f) > ntime: nfile = f ntime = self.timestamp(f) return nfile, ntime
def newest_dep(self, filename, ext_module): """ Returns the most recently modified file that filename depends on, along with its timestamp. """ nfile = filename ntime = self.timestamp(filename) for f in self.all_deps(filename): if self.timestamp(f) > ntime: nfile = f ntime = self.timestamp(f) return nfile, ntime
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def newest_dep(self, filename): """ Returns the most recently modified file that filename depends on, along with its timestamp. """ nfile = filename ntime = self.timestamp(filename) for f in self.all_deps(filename): if self.timestamp(f) > ntime: nfile = f ntime = self.timestamp(f) return nfile, ntime
def newest_dep(self, filename): """ Returns the most recently modified file that filename depends on, along with its timestamp. """ nfile = filename ntime = self.timestamp(filename) for f in self.all_deps(filename, ext_module): if self.timestamp(f) > ntime: nfile = f ntime = self.timestamp(f) return nfile, ntime
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def compile_command_list(ext_modules, deps): """ Computes a list of commands needed to compile and link the extension modules given in 'ext_modules' """ queue_compile_high = [] queue_compile_med = [] queue_compile_low = [] for m in ext_modules: new_sources = [] for f in m.sources: if f.endswith('.pyx'): dep_file, dep_...
def compile_command_list(ext_modules, deps): """ Computes a list of commands needed to compile and link the extension modules given in 'ext_modules' """ queue_compile_high = [] queue_compile_med = [] queue_compile_low = [] for m in ext_modules: new_sources = [] for f in m.sources: if f.endswith('.pyx'): dep_file, dep_...
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def pn(self, n): """ Return the number of the `n`-th partial convergent, computed using the recurrence. EXAMPLES:: sage: c = continued_fraction(pi); c [3, 7, 15, 1, 292, 1, 1, 1, 2, 1, 3, 1, 14, 3] sage: c.pn(0), c.qn(0) (3, 1) sage: len(c) 14 sage: c.pn(13), c.qn(13) (245850922, 78256779) """ if n < -2: raise ValueE...
def pn(self, n): """ Return the numerator of the `n`-th partial convergent, computed using the recurrence. EXAMPLES:: sage: c = continued_fraction(pi); c [3, 7, 15, 1, 292, 1, 1, 1, 2, 1, 3, 1, 14, 3] sage: c.pn(0), c.qn(0) (3, 1) sage: len(c) 14 sage: c.pn(13), c.qn(13) (245850922, 78256779) """ if n < -2: raise Val...
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def ContinuedFractionField(): """ Return the (unique) field of all contiued fractions. EXAMPLES:: sage: ContinuedFractionField() Field of all continued fractions """ return CFF
def ContinuedFractionField(): """ Return the (unique) field of all continued fractions. EXAMPLES:: sage: ContinuedFractionField() Field of all continued fractions """ return CFF
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def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth): r""" ``region_plot`` takes a boolean function of two variables, `f(x,y)` and plots the region where f is True over the specified ``xrange`` and ``yrange`` as demonstrated below. ``region_plot(f, (xmin, xmax), (ymin, ym...
def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth): r""" ``region_plot`` takes a boolean function of two variables, `f(x,y)` and plots the region where f is True over the specified ``xrange`` and ``yrange`` as demonstrated below. ``region_plot(f, (xmin, xmax), (ymin, ym...
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def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth): r""" ``region_plot`` takes a boolean function of two variables, `f(x,y)` and plots the region where f is True over the specified ``xrange`` and ``yrange`` as demonstrated below. ``region_plot(f, (xmin, xmax), (ymin, ym...
def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth): r""" ``region_plot`` takes a boolean function of two variables, `f(x,y)` and plots the region where f is True over the specified ``xrange`` and ``yrange`` as demonstrated below. ``region_plot(f, (xmin, xmax), (ymin, ym...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify(x*y > 1) (x, y) |...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify(x*y > ...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) -x^2 + 2 sage: equify(x*y > ...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
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def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
def equify(f, variables = None): """ Returns the equation rewritten as a symbolic function to give negative values when True, positive when False. EXAMPLES:: sage: from sage.plot.contour_plot import equify sage: var('x, y') (x, y) sage: equify(x^2 < 2) x |--> x^2 - 2 sage: equify(x^2 > 2) x |--> -x^2 + 2 sage: equify...
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def __init__(self, name, args, kwds): """ TESTS:: sage: f = attrcall('core', 3) sage: loads(dumps(f)) *.core(3) """ self.name = name self.args = args self.kwds = kwds
def __init__(self, name, args, kwds): """ TESTS:: sage: f = attrcall('core', 3); f *.core(3) """ self.name = name self.args = args self.kwds = kwds
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def __repr__(self): """ Returns a string representation of this object. The star in the output represents the object passed into self. EXAMPLES:: sage: attrcall('core', 3) *.core(3) sage: attrcall('hooks', flatten=True) *.hooks(flatten=True) sage: attrcall('hooks', 3, flatten=True) *.hooks(3, flatten=True) """ s = "...
def __repr__(self): """ Returns a string representation of this object. The star in the output represents the object passed into self. EXAMPLES:: sage: attrcall('core', 3) *.core(3) sage: attrcall('hooks', flatten=True) *.hooks(flatten=True) sage: attrcall('hooks', 3, flatten=True) *.hooks(3, flatten=True) """ s = "...
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def __repr__(self): """ Returns a string representation of this object. The star in the output represents the object passed into self. EXAMPLES:: sage: attrcall('core', 3) *.core(3) sage: attrcall('hooks', flatten=True) *.hooks(flatten=True) sage: attrcall('hooks', 3, flatten=True) *.hooks(3, flatten=True) """ s = "...
def __repr__(self): """ Returns a string representation of this object. The star in the output represents the object passed into self. EXAMPLES:: sage: attrcall('core', 3) *.core(3) sage: attrcall('hooks', flatten=True) *.hooks(flatten=True) sage: attrcall('hooks', 3, flatten=True) *.hooks(3, flatten=True) """ s = "...
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def __repr__(self): """ Returns a string representation of this object. The star in the output represents the object passed into self. EXAMPLES:: sage: attrcall('core', 3) *.core(3) sage: attrcall('hooks', flatten=True) *.hooks(flatten=True) sage: attrcall('hooks', 3, flatten=True) *.hooks(3, flatten=True) """ s = "...
def __repr__(self): """ Returns a string representation of this object. The star in the output represents the object passed into self. def __eq__(self, other): """ Equality testing EXAMPLES:: sage: attrcall('core', 3, flatten = True) == attrcall('core', 3, flatten = True) True sage: attrcall('core', 2) == attrcall('c...
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def attrcall(name, *args, **kwds): """ Returns a callable which takes in an object, gets the method named name from that object, and calls it with the specified arguments and keywords. INPUT: - ``name`` - a string of the name of the method you want to call - ``args, kwds`` - arguments and keywords to be passed to...
def attrcall(name, *args, **kwds): """ Returns a callable which takes in an object, gets the method named name from that object, and calls it with the specified arguments and keywords. INPUT: - ``name`` - a string of the name of the method you want to call - ``args, kwds`` - arguments and keywords to be passed to...
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def attrcall(name, *args, **kwds): """ Returns a callable which takes in an object, gets the method named name from that object, and calls it with the specified arguments and keywords. INPUT: - ``name`` - a string of the name of the method you want to call - ``args, kwds`` - arguments and keywords to be passed to...
def attrcall(name, *args, **kwds): """ Returns a callable which takes in an object, gets the method named name from that object, and calls it with the specified arguments and keywords. INPUT: - ``name`` - a string of the name of the method you want to call - ``args, kwds`` - arguments and keywords to be passed to ...
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def attrcall(name, *args, **kwds): """ Returns a callable which takes in an object, gets the method named name from that object, and calls it with the specified arguments and keywords. INPUT: - ``name`` - a string of the name of the method you want to call - ``args, kwds`` - arguments and keywords to be passed to...
def attrcall(name, *args, **kwds): """ Returns a callable which takes in an object, gets the method named name from that object, and calls it with the specified arguments and keywords. INPUT: - ``name`` - a string of the name of the method you want to call - ``args, kwds`` - arguments and keywords to be passed to...
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def derivative(self, ex, operator): """ EXAMPLES::
def derivative(self, ex, operator): """ EXAMPLES::
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def derivative(self, ex, operator): """ EXAMPLES::
def derivative(self, ex, operator): """ EXAMPLES::
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def derivative(self, ex, operator): """ EXAMPLES::
def derivative(self, ex, operator): """ EXAMPLES::
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def derivative(self, ex, operator): """ EXAMPLES::
def derivative(self, ex, operator): """ EXAMPLES::
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def process_dollars(s): r"""nodetex Replace dollar signs with backticks. More precisely, do a regular expression search. Replace a plain dollar sign ($) by a backtick (`). Replace an escaped dollar sign (\$) by a dollar sign ($). Don't change a dollar sign preceded or followed by a backtick (`$ or $`), because of s...
def process_dollars(s): r"""nodetex Replace dollar signs with backticks. More precisely, do a regular expression search. Replace a plain dollar sign ($) by a backtick (`). Replace an escaped dollar sign (\\$) by a dollar sign ($). Don't change a dollar sign preceded or followed by a backtick (\`$ or \$`), because o...
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def process_dollars(s): r"""nodetex Replace dollar signs with backticks. More precisely, do a regular expression search. Replace a plain dollar sign ($) by a backtick (`). Replace an escaped dollar sign (\$) by a dollar sign ($). Don't change a dollar sign preceded or followed by a backtick (`$ or $`), because of s...
def process_dollars(s): r"""nodetex Replace dollar signs with backticks. More precisely, do a regular expression search. Replace a plain dollar sign ($) by a backtick (`). Replace an escaped dollar sign (\$) by a dollar sign ($). Don't change a dollar sign preceded or followed by a backtick (`$ or $`), because of s...
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def process_dollars(s): r"""nodetex Replace dollar signs with backticks. More precisely, do a regular expression search. Replace a plain dollar sign ($) by a backtick (`). Replace an escaped dollar sign (\$) by a dollar sign ($). Don't change a dollar sign preceded or followed by a backtick (`$ or $`), because of s...
def process_dollars(s): r"""nodetex Replace dollar signs with backticks. More precisely, do a regular expression search. Replace a plain dollar sign ($) by a backtick (`). Replace an escaped dollar sign (\$) by a dollar sign ($). Don't change a dollar sign preceded or followed by a backtick (`$ or $`), because of s...
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def process_mathtt(s, embedded=False): r"""nodetex Replace \mathtt{BLAH} with either \verb|BLAH| (in the notebook) or BLAH (from the command line). INPUT: - ``s`` - string, in practice a docstring - ``embedded`` - boolean (optional, default False) This function is called by :func:`format`, and if in the notebook, it...
def process_mathtt(s, embedded=False): r"""nodetex Replace \\mathtt{BLAH} with either \\verb|BLAH| (in the notebook) or BLAH (from the command line). INPUT: - ``s`` - string, in practice a docstring - ``embedded`` - boolean (optional, default False) This function is called by :func:`format`, and if in the notebook, ...
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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 overlap_partition(self, other, delay=0, p=None, involution=None) : r""" Returns the partition of the alphabet induced by the overlap of self and other with the given delay.
def overlap_partition(self, other, delay=0, p=None, involution=None) : r""" Returns the partition of the alphabet induced by the overlap of self and other with the given delay.
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def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
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def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
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def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
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def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
def CharacteristicSturmianWord(self, cf, alphabet=(0, 1), bits=None): r""" Returns the characteristic Sturmian word of the given slope ``cf``.
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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sage: def cf():
sage: def cf():
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def LowerMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the lower mechanical word.
def LowerMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the lower mechanical word.
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def LowerMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the lower mechanical word.
def LowerMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the lower mechanical word.
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def LowerMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the lower mechanical word.
def LowerMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the lower mechanical word.
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def UpperMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the upper mechanical word.
def UpperMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the upper mechanical word.
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def UpperMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the upper mechanical word.
def UpperMechanicalWord(self, alpha, rho=0, alphabet=None): r""" Returns the upper mechanical word.
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def is_planar(self, on_embedding=None, kuratowski=False, set_embedding=False, set_pos=False): """ Returns True if the graph is planar, and False otherwise. This wraps the reference implementation provided by John Boyer of the linear time planarity algorithm by edge addition due to Boyer Myrvold. (See reference code in ...
def is_planar(self, on_embedding=None, kuratowski=False, set_embedding=False, set_pos=False): Multi-edged and looped graphs are partially supported:: sage: G = Graph({0:[1,1]}, multiedges=True) sage: G.is_planar() True sage: G.is_planar(on_embedding={}) Traceback (most recent call last): ... NotImplementedError: Cann...
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def hom(self, im_gens, codomain=None, check=True): """ Homomorphism defined by giving the images of ``self.gens()`` in some fixed fg R-module. .. note :: We do not assume that the generators given by ``self.gens()`` are the same as the Smith form generators, since this may not be true for a general derived class. IN...
def hom(self, im_gens, codomain=None, check=True): """ Homomorphism defined by giving the images of ``self.gens()`` in some fixed fg R-module. .. note :: We do not assume that the generators given by ``self.gens()`` are the same as the Smith form generators, since this may not be true for a general derived class. IN...
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def hom(self, im_gens, codomain=None, check=True): """ Homomorphism defined by giving the images of ``self.gens()`` in some fixed fg R-module. .. note :: We do not assume that the generators given by ``self.gens()`` are the same as the Smith form generators, since this may not be true for a general derived class. IN...
def hom(self, im_gens, codomain=None, check=True): """ Homomorphism defined by giving the images of ``self.gens()`` in some fixed fg R-module. .. note :: We do not assume that the generators given by ``self.gens()`` are the same as the Smith form generators, since this may not be true for a general derived class. IN...
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def regulator_of_points(self, points=[], precision=None): """ Returns the regulator of the given points on this curve. INPUT: - ``points`` -(default: empty list) a list of points on this curve - ``precision`` - int or None (default: None): the precision in bits of the result (default real precision if None) EXAMPL...
def regulator_of_points(self, points=[], precision=None): """ Returns the regulator of the given points on this curve. INPUT: - ``points`` -(default: empty list) a list of points on this curve - ``precision`` - int or None (default: None): the precision in bits of the result (default real precision if None) EXAMPL...
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def spherical_bessel_J(n, var, algorithm="maxima"): r""" Returns the spherical Bessel function of the first kind for integers n -1. Reference: AS 10.1.8 page 437 and AS 10.1.15 page 439. EXAMPLES:: sage: spherical_bessel_J(2,x) ((3/x^2 - 1)*sin(x) - 3*cos(x)/x)/x """ if algorithm=="scipy": import scipy.special ans =...
def spherical_bessel_J(n, var, algorithm="maxima"): r""" Returns the spherical Bessel function of the first kind for integers n >= 1. Reference: AS 10.1.8 page 437 and AS 10.1.15 page 439. EXAMPLES:: sage: spherical_bessel_J(2,x) ((3/x^2 - 1)*sin(x) - 3*cos(x)/x)/x """ if algorithm=="scipy": import scipy.special ans...
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def spherical_bessel_J(n, var, algorithm="maxima"): r""" Returns the spherical Bessel function of the first kind for integers n -1. Reference: AS 10.1.8 page 437 and AS 10.1.15 page 439. EXAMPLES:: sage: spherical_bessel_J(2,x) ((3/x^2 - 1)*sin(x) - 3*cos(x)/x)/x """ if algorithm=="scipy": import scipy.special ans =...
def spherical_bessel_J(n, var, algorithm="maxima"): r""" Returns the spherical Bessel function of the first kind for integers n -1. Reference: AS 10.1.8 page 437 and AS 10.1.15 page 439. EXAMPLES:: sage: spherical_bessel_J(2,x) ((3/x^2 - 1)*sin(x) - 3*cos(x)/x)/x """ if algorithm=="scipy": from scipy.special.specfun...
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def edges(self, labels=True, sort=True, key=None): r""" Return a list of the edges of the graph as triples (u,v,l) where u and v are vertices and l is a label.
def edges(self, labels=True, sort=True, key=None): r""" Return a list of the edges of the graph as triples (u,v,l) where u and v are vertices and l is a label.
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True, sort=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
def edge_boundary(self, vertices1, vertices2=None, labels=True): """ Returns a list of edges `(u,v,l)` with `u` in ``vertices1`` and `v` in ``vertices2``. If ``vertices2`` is ``None``, then it is set to the complement of ``vertices1``. In a digraph, the external boundary of a vertex `v` are those vertices `u` with an ...
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def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over edges. The iterator returned is over the edges incident with any vertex given in the parameter ``vertices``. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an itera...
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def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
def - ``vertices`` - (default: None) a vertex, a list of vertices or None edge_iterator(self, - ``vertices`` - (default: None) a vertex, a list of vertices or None vertices=None, - ``vertices`` - (default: None) a vertex, a list of vertices or None labels=True, - ``vertices`` - (default: None) a vertex, a list of verti...
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def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
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def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
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def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
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def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
def edge_iterator(self, vertices=None, labels=True, ignore_direction=False): """ Returns an iterator over the edges incident with any vertex given. If the graph is directed, iterates over edges going out only. If vertices is None, then returns an iterator over all edges. If self is directed, returns outgoing edges only...
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def edges_incident(self, vertices=None, labels=True): """ Returns a list of edges incident with any vertex given. If vertices is None, returns a list of all edges in graph. For digraphs, only lists outward edges. INPUT: - ``label`` - if False, each edge is a tuple (u,v) of vertices. EXAMPLES:: sage: graphs.Peter...
def edges_incident(self, vertices=None, labels=True): """ Returns a list of edges incident with any vertex given. If vertices is None, returns a list of all edges in graph. For digraphs, only lists outward edges. INPUT: - ``vertices`` - object (default: None) - a vertex, a list of vertices or None. - ``labels`` - b...
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def edges_incident(self, vertices=None, labels=True): """ Returns a list of edges incident with any vertex given. If vertices is None, returns a list of all edges in graph. For digraphs, only lists outward edges. INPUT: - ``label`` - if False, each edge is a tuple (u,v) of vertices. EXAMPLES:: sage: graphs.Peter...
def edges_incident(self, vertices=None, labels=True): """ Returns a list of edges incident with any vertex given. If vertices is None, returns a list of all edges in graph. For digraphs, only lists outward edges. INPUT: - ``label`` - if False, each edge is a tuple (u,v) of vertices. EXAMPLES:: sage: graphs.Peter...
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