%feature("docstring") OT::BlockIndependentDistribution
"Merge of a collection of independent distributions.

Parameters
----------
distributions : list of :class:`~openturns.Distribution`.
    The distributions of the independent blocks.

Notes
-----
Let's :math:`X_1\, \dots, X_K`:math:`K` independent random vectors of respective dimension :math:`n_i \geq 1` and cumulative distribution functions :math:`F_1,\dots, F_K`. The :class:`~openturns.BlockIndependentDistribution` is the distribution of the random vector :math:`X` of dimension :math:`d = n_1 + \dots + n_K` of cumulative distribution function :math:`F` defined by:

.. math::

    F(x_1, \dots, x_K) = F_1(x_1) \dots F_K(x_K)

where :math:`x_i\in\Rset^{n_1},\dots,x_K\in\Rset^{n_K}`.


Examples
--------
Create a distribution:

>>> import openturns as ot
>>> R = ot.CorrelationMatrix(2)
>>> R[0, 1] = 0.5
>>> d1 =  ot.ComposedDistribution([ot.Uniform(), ot.Triangular(1.0, 2.0, 3.0)], NormalCopula(R))
>>> d2 = ot.Normal(2)
>>> collection = [d1, d2]
>>> dist = ot.BlockIndependentDistribution(collection)

Get a sample:

>>> sample = dist.getSample(5)"

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%feature("docstring") OT::BlockIndependentDistribution::getDistributionCollection
"Accessor to the list of the distributions.

Returns
-------
distributions : list of distributions
    The collection of the distributions to be merged."

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%feature("docstring") OT::BlockIndependentDistribution::setDistributionCollection
"Accessor to the list of the codistributionspulas.

Parameters
----------
distributions : list of distributions
    The collection of distributions to be merged."