Previous CloneSet | Next CloneSet | Back to Main Report |
Clone Mass | Clones in CloneSet | Parameter Count | Clone Similarity | Syntax Category [Sequence Length] |
---|---|---|---|---|
5 | 2 | 3 | 0.985 | stmt_list[3] |
Clone Abstraction | Parameter Bindings |
Clone Instance (Click to see clone) | Line Count | Source Line | Source File |
---|---|---|---|
1 | 5 | 76 | Bio/MarkovModel.py |
2 | 5 | 83 | Bio/MarkovModel.py |
| ||||
mm.p_transition = numpy.zeros((N,N)) line = _readline_and_check_start(handle,"TRANSITION:") for i in range(len(states)): line = _readline_and_check_start(handle," %s:"%states[i]) mm.p_transition[i, : ] = map(float,line.split( )[1: ]) # Load the emission. |
| ||||
mm.p_emission = numpy.zeros((N,M)) line = _readline_and_check_start(handle,"EMISSION:") for i in range(len(states)): line = _readline_and_check_start(handle," %s:"%states[i]) mm.p_emission[i, : ] = map(float,line.split( )[1: ]) |
| |||
mm. [[#variable1804b740]]= numpy.zeros((N, [[#variable5cdd83e0]])) line = _readline_and_check_start(handle, [[#variable5cdd84a0]]) for i in range(len(states)): line = _readline_and_check_start(handle," %s:"%states[i]) mm. [[#variable1804b740]][i, : ] = map(float,line.split( )[1: ]) # Load the emission. |
CloneAbstraction |
Parameter Index | Clone Instance | Parameter Name | Value |
---|---|---|---|
1 | 1 | [[#1804b740]] | p_transition |
1 | 2 | [[#1804b740]] | p_emission |
2 | 1 | [[#5cdd83e0]] | N |
2 | 2 | [[#5cdd83e0]] | M |
3 | 1 | [[#5cdd84a0]] | "TRANSITION:" |
3 | 2 | [[#5cdd84a0]] | "EMISSION:" |