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%feature("docstring") OT::BlendedStep
"Blended step.

Available constructors:
    BlendedStep(*epsilon, eta=1.*)

Parameters
----------
epsilon : sequence of float
    Finite difference step factors for each dimension.
eta : positive float, sequence of positive float with the same dimension as *epsilon*
    Finite difference step offsets for each dimension.

Notes
-----
*BlendedStep* defines a list of finite difference steps equal to:
*epsilon (|x| + eta)*.

See also
--------
ConstantStep

Examples
--------
>>> import openturns as ot
>>> epsilon = [1e-4, 2e-4]
>>> x = [2.]*2
>>> steps = ot.BlendedStep(epsilon)
>>> print(steps(x))
[0.0003,0.0006]
>>> steps = ot.BlendedStep(epsilon, 0.)
>>> print(steps(x))
[0.0002,0.0004]
>>> steps = ot.BlendedStep(epsilon, [1., 2.])
>>> print(steps(x))
[0.0003,0.0008]
>>> steps = ot.BlendedStep(epsilon, 2.)
>>> print(steps(x))
[0.0004,0.0008]"

// ---------------------------------------------------------------------

%feature("docstring") OT::BlendedStep::getEta
"Get the finite difference step offsets.

Returns
-------
eta : :class:`~openturns.NumericalPoint`
    Finite difference step offsets for each dimension."

// ---------------------------------------------------------------------

%feature("docstring") OT::BlendedStep::setEta
"Set the finite difference step offsets.

Parameters
----------
eta : sequence of positive float
    Finite difference step offsets for each dimension."