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DS-1000 / 792 / I have problems using scipy.sparse.csr_matrix:

Problem

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Problem:
I have problems using scipy.sparse.csr_matrix:
for instance:
a = csr_matrix([[1,2,3],[4,5,6]])
b = csr_matrix([[7,8,9],[10,11,12]])
how to merge them into
[[1,2,3],[4,5,6],[7,8,9],[10,11,12]]
I know a way is to transfer them into numpy array first:
csr_matrix(numpy.vstack((a.toarray(),b.toarray())))
but it won't work when the matrix is huge and sparse, because the memory would run out.
so are there any way to merge them together in csr_matrix?
any answers are appreciated!
A:
<code>
from scipy import sparse
sa = sparse.random(10, 10, density = 0.01, format = 'csr')
sb = sparse.random(10, 10, density = 0.01, format = 'csr')
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Scipy

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Source and history

upstream_id / Original problem ID
792
task_id
0aa40513-c9b0-540c-9ad9-726e5445dfe6
task_key
default--test--792
task_revision_id
1
config / split
default / test

Official source

initial import