def BSR_Row_WriteVect(A, i, x):
    """Overwrite the nonzeros in row i of BSR matrix A with the vector x.

    length(x) and nnz(A[i,:]) must be equivalent

    Parameters
    ----------
    A : bsr_matrix
        Matrix assumed to be in BSR format
    i : int
        Row number
    x : array
        Array of values to overwrite nonzeros in row i of A

    Returns
    -------
    A : bsr_matrix
        The nonzeros in row i of A have been
        overwritten with entries from x.  x must be same
        length as nonzeros of row i.  This is guaranteed
        when this routine is used with vectors derived form
        Get_BSR_Row

    Examples
    --------
    >>> from numpy import array
    >>> from scipy.sparse import bsr_matrix
    >>> from pyamg.util.BSR_utils import BSR_Row_WriteVect
    >>> indptr  = array([0,2,3,6])
    >>> indices = array([0,2,2,0,1,2])
    >>> data    = array([1,2,3,4,5,6]).repeat(4).reshape(6,2,2)
    >>> B = bsr_matrix( (data,indices,indptr), shape=(6,6) )
    >>> BSR_Row_WriteVect(B,5,array([11,22,33,44,55,66]))

    """
    blocksize = A.blocksize[0]
    BlockIndx = int(i / blocksize)
    rowstart = A.indptr[BlockIndx]
    rowend = A.indptr[BlockIndx + 1]
    localRowIndx = i % blocksize
    x = x.__array__().reshape((max(x.shape),))
    indys = A.data[rowstart:rowend, (localRowIndx), :].nonzero()
    A.data[rowstart:rowend, (localRowIndx), :][indys[0], indys[1]] = x
