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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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 -------- """

    blocksize = A.blocksize[0]
    BlockIndx = int(i/blocksize)
    rowstart = A.indptr[BlockIndx]
    rowend = A.indptr[BlockIndx+1]
    localRowIndx = i % blocksize

    # like matlab slicing:
    x = x.__array__().reshape((max(x.shape),))

    # counter = 0
    # for j in range(rowstart, rowend):
    #   indys = A.data[j,localRowIndx,:].nonzero()[0]
    #   increment = min(indys.shape[0], blocksize)
    #   A.data[j,localRowIndx,indys] = x[counter:(counter+increment), 0]
    #   counter += increment

    indys = A.data[rowstart:rowend, localRowIndx, :].nonzero()
    A.data[rowstart:rowend, localRowIndx, :][indys[0], indys[1]] = x