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def integral(f, *args, **kwds): r""" The integral of `f`. EXAMPLES:: sage: integral(sin(x), x) -cos(x) sage: integral(sin(x)^2, x, pi, 123*pi/2) 121/4*pi sage: integral( sin(x), x, 0, pi) 2 We integrate a symbolic function:: sage: f(x,y,z) = x*y/z + sin(z) sage: integral(f, z) (x, y, z) |--> x*y*log(z) - cos(z) ::...
def integral(f, *args, **kwds): r""" The integral of `f`. EXAMPLES:: sage: integral(sin(x), x) -cos(x) sage: integral(sin(x)^2, x, pi, 123*pi/2) 121/4*pi sage: integral( sin(x), x, 0, pi) 2 We integrate a symbolic function:: sage: f(x,y,z) = x*y/z + sin(z) sage: integral(f, z) (x, y, z) |--> x*y*log(z) - cos(z) ::...
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def from_polynomial_exp(self, p): r""" Conversion from polynomial in exponential notation
def from_polynomial_exp(self, p): r""" Conversion from polynomial in exponential notation
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
def reduced_rauzy_graph(self, n): r""" Returns the reduced Rauzy graph of order `n` of self.
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def __call__(self, P): r""" Returns a rational point P in the abstract Homset J(K), given:
def __call__(self, P): r""" Returns a rational point P in the abstract Homset J(K), given:
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def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
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def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
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def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
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def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
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def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
def coerce_field(self, other): """ Return the number type that contains both `self.field()` and `other`.
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def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
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def __classcall_private__(cls, fam, facade=True, keepkey=False): # was *args, **options): """ Normalization of arguments; see :cls:`UniqueRepresentation`.
def __classcall_private__(cls, fam, facade=True, keepkey=False): # was *args, **options): """ Normalization of arguments; see :cls:`UniqueRepresentation`.
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def is_divisible_by(self, m): """ Return True if there exists a point `Q` defined over the same field as self such that `mQ` == self.
def is_divisible_by(self, m): """ Return True if there exists a point `Q` defined over the same field as self such that `mQ` == self.
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def deprecation(message, version=None): r""" Issue a deprecation warning. INPUT: - ``message`` - an explanation why things are deprecated and by what it should be replaced. - ``version`` - (optional) on which version and when the deprecation occured. Please put there the version of sageq at the time of deprecation. ...
def deprecation(message, version=None): r""" Issue a deprecation warning. INPUT: - ``message`` - an explanation why things are deprecated and by what it should be replaced. - ``version`` - (optional) on which version and when the deprecation occurred. Please put there the version of sage at the time of deprecation. ...
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sage: def bar():
sage: def bar():
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def _render_on_subplot(self, subplot): """ TESTS:
def _render_on_subplot(self, subplot): """ TESTS:
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def _render_on_subplot(self, subplot): """ TESTS:
def _render_on_subplot(self, subplot): """ TESTS:
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def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth,**options): 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),...
def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth,**options): 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),...
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def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth,**options): 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),...
def region_plot(f, xrange, yrange, plot_points, incol, outcol, bordercol, borderstyle, borderwidth,**options): 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),...
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def Set(X): r""" Create the underlying set of $X$. If $X$ is a list, tuple, Python set, or ``X.is_finite()`` is true, this returns a wrapper around Python's enumerated immutable frozenset type with extra functionality. Otherwise it returns a more formal wrapper. If you need the functionality of mutable sets, use Pyt...
def Set(X): r""" Create the underlying set of $X$. If $X$ is a list, tuple, Python set, or ``X.is_finite()`` is true, this returns a wrapper around Python's enumerated immutable frozenset type with extra functionality. Otherwise it returns a more formal wrapper. If you need the functionality of mutable sets, use Pyt...
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def __init__(self, x, y, r1, r2, angle, options): """ Initializes base class Ellipse.
def __init__(self, x, y, r1, r2, angle, options): """ Initializes base class Ellipse.
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def get_minmax_data(self): """ Returns a dictionary with the bounding box data.
def get_minmax_data(self): """ Returns a dictionary with the bounding box data.
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def get_minmax_data(self): """ Returns a dictionary with the bounding box data.
def get_minmax_data(self): """ Returns a dictionary with the bounding box data.
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def get_minmax_data(self): """ Returns a dictionary with the bounding box data.
def get_minmax_data(self): """ Returns a dictionary with the bounding box data.
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def _allowed_options(self): """ Return the allowed options for the Ellipse class.
def _allowed_options(self): """ Return the allowed options for the Ellipse class.
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def _repr_(self): """ String representation of Ellipse primitive.
def _repr_(self): """ String representation of Ellipse primitive.
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def plot3d(self): r""" Plot 3d is not implemented.
def plot3d(self): r""" Plot 3d is not implemented.
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def NumberField(polynomial, name=None, check=True, names=None, cache=True, embedding=None, latex_name=None): r""" Return *the* number field defined by the given irreducible polynomial and with variable with the given name. If check is True (the default), also verify that the defining polynomial is irreducible and over ...
def NumberField(polynomial, name=None, check=True, names=None, cache=True, embedding=None, latex_name=None): r""" Return *the* number field defined by the given irreducible polynomial and with variable with the given name. If check is True (the default), also verify that the defining polynomial is irreducible and over ...
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def QuadraticField(D, names, check=True, embedding=True, latex_name=None): r""" Return a quadratic field obtained by adjoining a square root of `D` to the rational numbers, where `D` is not a perfect square. INPUT: - ``D`` - a rational number - ``names`` - variable name - ``check`` - bool (default: True) - ``e...
def QuadraticField(D, names, check=True, embedding=True, latex_name='sqrt'): r""" Return a quadratic field obtained by adjoining a square root of `D` to the rational numbers, where `D` is not a perfect square. INPUT: - ``D`` - a rational number - ``names`` - variable name - ``check`` - bool (default: True) - `...
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def QuadraticField(D, names, check=True, embedding=True, latex_name=None): r""" Return a quadratic field obtained by adjoining a square root of `D` to the rational numbers, where `D` is not a perfect square. INPUT: - ``D`` - a rational number - ``names`` - variable name - ``check`` - bool (default: True) - ``e...
def QuadraticField(D, names, check=True, embedding=True, latex_name=None): r""" Return a quadratic field obtained by adjoining a square root of `D` to the rational numbers, where `D` is not a perfect square. INPUT: - ``D`` - a rational number - ``names`` - variable name - ``check`` - bool (default: True) - ``e...
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def QuadraticField(D, names, check=True, embedding=True, latex_name=None): r""" Return a quadratic field obtained by adjoining a square root of `D` to the rational numbers, where `D` is not a perfect square. INPUT: - ``D`` - a rational number - ``names`` - variable name - ``check`` - bool (default: True) - ``e...
def QuadraticField(D, names, check=True, embedding=True, latex_name=None): r""" Return a quadratic field obtained by adjoining a square root of `D` to the rational numbers, where `D` is not a perfect square. INPUT: - ``D`` - a rational number - ``names`` - variable name - ``check`` - bool (default: True) - ``e...
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def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
def tamagawa_product_bsd(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product ...
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def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
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def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
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def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
def tamagawa_product(self): r""" Given an elliptic curve `E` over a number field `K`, this function returns the integer `C(E/K)` that appears in the Birch and Swinnerton-Dyer conjecture accounting for the local information at finite places. If the model is a global minimal model then `C(E/K)` is simply the product of t...
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def global_minimal_model(self, proof = None): r""" Returns a model of self that is integral, minimal at all primes.
def global_minimal_model(self, proof = None): r""" Returns a model of self that is integral, minimal at all primes.
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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 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 _singular_init_(self, singular=singular_default): """ Return a newly created Singular ring matching this ring. """ if not can_convert_to_singular(self): raise TypeError, "no conversion of this ring to a Singular ring defined"
def _singular_init_(self, singular=singular_default): """ Return a newly created Singular ring matching this ring. """ if not can_convert_to_singular(self): raise TypeError, "no conversion of this ring to a Singular ring defined"
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def check_tkz_graph(): r""" Checks if the proper `\mbox{\rm\LaTeX}` packages for the ``tikzpicture`` environment are installed in the user's environment. If the requisite packages are not found on the first call to this function, warnings are printed. Thereafter, the function caches its result in the variable ``_have_...
def check_tkz_graph(): r""" Checks if the proper `\mbox{\rm\LaTeX}` packages for the ``tikzpicture`` environment are installed in the user's environment. If the requisite packages are not found on the first call to this function, warnings are printed. Thereafter, the function caches its result in the variable ``_have_...
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def check_tkz_graph(): r""" Checks if the proper `\mbox{\rm\LaTeX}` packages for the ``tikzpicture`` environment are installed in the user's environment. If the requisite packages are not found on the first call to this function, warnings are printed. Thereafter, the function caches its result in the variable ``_have_...
def check_tkz_graph(): r""" Checks if the proper `\mbox{\rm\LaTeX}` packages for the ``tikzpicture`` environment are installed in the user's environment. If the requisite packages are not found on the first call to this function, warnings are printed. Thereafter, the function caches its result in the variable ``_have_...
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def have_tkz_graph(): r""" Returns ``True`` if the proper `\mbox{\rm\LaTeX}` packages for the ``tikzpicture`` environment are installed in the user's environment. The first time it is run, this function caches its result in the variable ``_have_tkz_graph``, and any subsequent time, it just checks the value of the vari...
def have_tkz_graph(): r""" Returns ``True`` if the proper `\mbox{\rm\LaTeX}` packages for the ``tikzpicture`` environment are installed in the user's environment. The first time it is run, this function caches its result in the variable ``_have_tkz_graph``, and any subsequent time, it just checks the value of the vari...
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def hasse_diagram(self): """ Returns the Hasse_diagram of the poset as a Sage DiGraph object.
def hasse_diagram(self): """ Returns the Hasse_diagram of the poset as a Sage DiGraph object.
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def polar_plot(funcs, *args, **kwds): r""" ``polar_plot`` takes a single function or a list or tuple of functions and plots them with polar coordinates in the given domain. This function is equivalent to the plot command with the options ``polar=True`` and ``aspect_ratio=1``. For more help on options, see the document...
def polar_plot(funcs, *args, **kwds): r""" ``polar_plot`` takes a single function or a list or tuple of functions and plots them with polar coordinates in the given domain. This function is equivalent to the :func:`plot` command with the options ``polar=True`` and ``aspect_ratio=1``. For more help on options, see the ...
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def polar_plot(funcs, *args, **kwds): r""" ``polar_plot`` takes a single function or a list or tuple of functions and plots them with polar coordinates in the given domain. This function is equivalent to the plot command with the options ``polar=True`` and ``aspect_ratio=1``. For more help on options, see the document...
def polar_plot(funcs, *args, **kwds): r""" ``polar_plot`` takes a single function or a list or tuple of functions and plots them with polar coordinates in the given domain. This function is equivalent to the plot command with the options ``polar=True`` and ``aspect_ratio=1``. For more help on options, see the document...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
def _find_scaling_L_ratio(self): r""" This function is use to set ``_scaling``, the factor used to adjust the scalar multiple of the modular symbol. If `[0]`, the modular symbol evaluated at 0, is non-zero, we can just scale it with respect to the approximation of the L-value. It is known that the quotient is a rationa...
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def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
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def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
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def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
def sturm_bound(self, M=None): r""" For a space M of modular forms, this function returns an integer B such that two modular forms in either self or M are equal if and only if their q-expansions are equal to precision B (note that this is 1+ the usual Sturm bound, since `O(q^\mathrm{prec})` has precision prec). If M is...
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def __init__(self, *args, **kwargs): """ Construct a substitution box (S-box) for a given lookup table `S`.
def __init__(self, *args, **kwargs): """ Construct a substitution box (S-box) for a given lookup table `S`.
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def valuation(m, p): """ The exact power of p that divides m. m should be an integer or rational (but maybe other types work too.) This actually just calls the m.valuation() method. If m is 0, this function returns rings.infinity. EXAMPLES:: sage: valuation(512,2) 9 sage: valuation(1,2) 0 sage: valuation(5/9, 3) -...
def valuation(m,*args1, **args2): """ This actually just calls the m.valuation() method. If m is 0, this function returns rings.infinity. EXAMPLES:: sage: valuation(512,2) 9 sage: valuation(1,2) 0 sage: valuation(5/9, 3) -2 Valuation of 0 is defined, but valuation with respect to 0 is not:: sage: valuation(0,7) +I...
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def valuation(m, p): """ The exact power of p that divides m. m should be an integer or rational (but maybe other types work too.) This actually just calls the m.valuation() method. If m is 0, this function returns rings.infinity. EXAMPLES:: sage: valuation(512,2) 9 sage: valuation(1,2) 0 sage: valuation(5/9, 3) -...
def valuation(m, p): """ The exact power of p that divides m. m should be an integer or rational (but maybe other types work too.) This actually just calls the m.valuation() method. See the documentation of m.valuation() for a more precise description. Use of this function by developers is discouraged. Use m.valuatio...
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def valuation(m, p): """ The exact power of p that divides m. m should be an integer or rational (but maybe other types work too.) This actually just calls the m.valuation() method. If m is 0, this function returns rings.infinity. EXAMPLES:: sage: valuation(512,2) 9 sage: valuation(1,2) 0 sage: valuation(5/9, 3) -...
def valuation(m, p): """ The exact power of p that divides m. m should be an integer or rational (but maybe other types work too.) This actually just calls the m.valuation() method. If m is 0, this function returns rings.infinity. EXAMPLES:: sage: valuation(512,2) 9 sage: valuation(1,2) 0 sage: valuation(5/9, 3) -...
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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.
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.
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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.
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.
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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.
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.
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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.
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.
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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.
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.
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def E2(self,prec=20): r""" Returns the value of the `p`-adic Eisenstein series of weight 2 evaluated on the elliptic curve having split multiplicative reduction.
def E2(self,prec=20): r""" Returns the value of the `p`-adic Eisenstein series of weight 2 evaluated on the elliptic curve having split multiplicative reduction.
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def __call__(self, *args): """ Coerces the element into the ring. You may pass a vector in the ambient space, an element of the base_ring, or an argument list of integers (or half-integers for the spin types) which are the components of a vector in the ambient space.
def __call__(self, *args): """ Coerces the element into the ring. You may pass a vector in the ambient space, an element of the base_ring, or an argument list of integers (or half-integers for the spin types) which are the components of a vector in the ambient space.
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def bezier3d(path, **options): """ Draws a 3-dimensional bezier path. Input is similar to bezier_path, but each point in the path and each control point is required to have 3 coordinates. INPUT: - ``path`` - a list of curves, which each is a list of points. See further detail below. - ``thickness`` - (default: 2)...
def bezier3d(path, **options): """ Draws a 3-dimensional bezier path. Input is similar to bezier_path, but each point in the path and each control point is required to have 3 coordinates. INPUT: - ``path`` - a list of curves, which each is a list of points. See further detail below. - ``thickness`` - (default: 2)...
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def bezier3d(path, **options): """ Draws a 3-dimensional bezier path. Input is similar to bezier_path, but each point in the path and each control point is required to have 3 coordinates. INPUT: - ``path`` - a list of curves, which each is a list of points. See further detail below. - ``thickness`` - (default: 2)...
def bezier3d(path, **options): """ Draws a 3-dimensional bezier path. Input is similar to bezier_path, but each point in the path and each control point is required to have 3 coordinates. INPUT: - ``path`` - a list of curves, which each is a list of points. See further detail below. - ``thickness`` - (default: 2)...
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def bezier3d(path, **options): """ Draws a 3-dimensional bezier path. Input is similar to bezier_path, but each point in the path and each control point is required to have 3 coordinates. INPUT: - ``path`` - a list of curves, which each is a list of points. See further detail below. - ``thickness`` - (default: 2)...
def bezier3d(path, **options): """ Draws a 3-dimensional bezier path. Input is similar to bezier_path, but each point in the path and each control point is required to have 3 coordinates. INPUT: - ``path`` - a list of curves, which each is a list of points. See further detail below. - ``thickness`` - (default: 2)...
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def frame3d(lower_left, upper_right, **kwds): """ Draw a frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, ...
def frame3d(lower_left, upper_right, **kwds): """ Draw a frame in 3-D. Primarily used as a helper function for creating frames for 3-D graphics viewing. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple...
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def frame3d(lower_left, upper_right, **kwds): """ Draw a frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, ...
def frame3d(lower_left, upper_right, **kwds): """ Draw a frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector. - ``upper_right`` - the upper right corner of the frame, as a list, tuple,...
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def frame3d(lower_left, upper_right, **kwds): """ Draw a frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, ...
def frame3d(lower_left, upper_right, **kwds): """ Draw a frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector. - ``upper_right`` - the upper right corner of the frame, as a list, tuple,...
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def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3-D. Primarily used as a helper function for creating frames for 3-D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the l...
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def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
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def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
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def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
def frame_labels(lower_left, upper_right, label_lower_left, label_upper_right, eps = 1, **kwds): """ Draw correct labels for a given frame in 3D. Primarily used as a helper function for creating frames for 3D graphics viewing - do not use directly unless you know what you are doing! INPUT: - ``lower_left`` - the low...
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def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3-D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of ma...
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def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector. - ``end`` - the end of the ruler, as a list, tuple, or vector. - ``ticks`` - (default: 4) the number of m...
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def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector. - ``end`` - the end of the ruler, as a list, tuple, or vector. - ``ticks`` - (default: 4) the number of m...
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def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
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def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
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def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
def ruler(start, end, ticks=4, sub_ticks=4, absolute=False, snap=False, **kwds): """ Draw a ruler in 3D, with major and minor ticks. INPUT: - ``start`` - the beginning of the ruler, as a list, tuple, or vector - ``end`` - the end of the ruler, as a list, tuple, or vector - ``ticks`` - (default: 4) the number of maj...
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def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector - ``t...
def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3-D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector - ``...
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def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector - ``t...
def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector. - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector. - `...
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def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector - ``t...
def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector. - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector. - `...
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def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector - ``t...
def ruler_frame(lower_left, upper_right, ticks=4, sub_ticks=4, **kwds): """ Draw a frame made of 3D rulers, with major and minor ticks. INPUT: - ``lower_left`` - the lower left corner of the frame, as a list, tuple, or vector - ``upper_right`` - the upper right corner of the frame, as a list, tuple, or vector - ``t...
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