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Update multivariate_normal docstring
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mkl_random/mklrand.pyx

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@@ -5051,6 +5051,11 @@ cdef class _MKLRandomState:
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generated, and packed in an `m`-by-`n`-by-`k` arrangement. Because
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each sample is `N`-dimensional, the output shape is ``(m,n,k,N)``.
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If no shape is specified, a single (`N`-D) sample is returned.
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check_valid : { 'warn', 'raise', 'ignore' }, optional
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Behavior when the covariance matrix is not positive semidefinite.
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tol : float, optional
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Tolerance when checking the singular values in covariance matrix.
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cov is cast to double before the check.
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Returns
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-------

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