fse.py takes two unidirectional flow data as input, as returned by coralflow.
For a full list of supported option, please run:
	./fse.py -h

BASIC USAGE

To compute the degree of symmetry according to FSE:
- filter out non TCP-data traffic from your traces:
	crl_flow -Cipfilter='tcp[13]&1!=1 and tcp[13]&4!=4 and tcp[13]&2!=2 and tcp[13]&16==16' dag:[ trace.dirA.dag ] > trace.dirA.crlflows
	crl_flow -Cipfilter='tcp[13]&1!=1 and tcp[13]&4!=4 and tcp[13]&2!=2 and tcp[13]&16==16' dag:[ trace.dirB.dag ] > trace.dirB.crlflows
- process the output with the fse.py:
	./fse.py -a trace.dirA.crlflows -b trace.dirB.crlflows

Alternatively, you can compute the degree of symmetry by considering:
1. all the IP traffic:
	crl_flow dag:[ trace.dirA.dag ] > trace.dirA.crlflows
	crl_flow dag:[ trace.dirB.dag ] > trace.dirB.crlflows
	./fse.py -a trace.dirA.crlflows -b trace.dirB.crlflows

2. only TCP traffic
	crl_flow dag:[ trace.dirA.dag ] > trace.dirA.crlflows
	crl_flow dag:[ trace.dirB.dag ] > trace.dirB.crlflows
	./fse.py -a trace.dirA.crlflows -b trace.dirB.crlflows -t

You can also compute the degree of symmetry at the IPpair level:
3. for all the IP traffic
	./fse.py -a trace.dirA.crlflows -b trace.dirB.crlflows -p
4. only TCP traffic
	./fse.py -a trace.dirA.crlflows -b trace.dirB.crlflows -t -i
5. TCP-data traffic (use filtered traces as above)
	./fse.py -a trace.dirA.crlflows -b trace.dirB.crlflows -t -i
