The usage of the program is: "momentFP window_size support item_size input_file output_file", where:window_size: the sliding window sizesupport: the minimum support (as integer)itemsize: number of distinct items in the data setinput_file: name of the input fileoutput_file: name of the output fileThe input file should be in the format defined by the IBM synthetic data generator, i.e.,<CustID, TransID, NumItems, List-Of-Items>In the output file:(1) The first line gives the size of the FP-tree for the first sliding window.(2) The second line gives the window index (0) for the first sliding window, the running time forloading the first window (including building the FP-tree and the CET), the number of closedfrequent itemsets in the first sliding window, and the size of CET for the first sliding window.(3) Each of the following line represent one sliding window. The data contains for the currentsliding window: the index of the window, the running time, the number of closed frequent itemsets, the size of the CET, the number of calls for the Explore() function, the number of nodes added to the CET, the number of nodes deleted from the CET, the number of closed frequent itemsets beforethe deletion (after the addition).(4) Finally, the average of the above numbers.For example, a toy example included in this package is test.ascii, which contains 6 transactionsand 4 distinct items. So if we want to run with the sliding window size to be 4 and the supportto be 2 (50%), then we use the following command:./momentFP 4 2 4 test.ascii output.txtAs another example, the first 1100 transactions of the mushroom data set are included in thispakcage as mushroom1000.ascii. It contains 120 distinct itemsets. E.g., if we want to run itwith sliding window size to be 1000 and the support to be 10 (1%), we can use:./momentFP 1000 10 120 mushroom1000.ascii output.txt