稀疏查找表的用处及其优势请参见SparseLUT在Github上的README.md
使用方法
通过以下命令即可安装稀疏查找表的Python包：
pip install sparse_lut
下面介绍使用稀疏查找表的方法。
首先，通过如下代码初始化稀疏查找表
from sparse_lut import SparseLUT
# initialization
lut = SparseLUT((3, 3, 3, 3, 3))
其次，通过add方法，向稀疏查找表中加入多条特征序列，例如
# adding feature-lists
lut.add([[0,1,2], [0,1,2], [0,1,2], [0,1,2], [0,1,2]], "A")
lut.add([[1,2], [0], [0,1,2], [0,1,2], [0,1,2]], "B")
lut.add([[1,2], [1], [0,1,2], [0,1,2], [0,1,2]], "C")
第三，构建稀疏查找表。如果要进一步进行可视化，则需要传入参数 False，否则，程序构建好后会将相关的中间变量清空，以至于无法进行进一步的可视化。
# building the sparse-lut
lut.build(False) # set True is visualization is not required
第四，如果需要可视化，则通过draw方法进行。
图8
第五，通过下标访问。例如
# accessing the value
result = lut[0,1,0,0,0]
print(result)
程序会打印“OrderedSet(['A'])”，即成功访问到了对应的值。
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