CloneSet351


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Clone
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CloneSet
Parameter
Count
Clone
Similarity
Syntax Category
[Sequence Length]
9230.972stmt_list[4]
Clone AbstractionParameter Bindings
Clone Instance
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Line CountSource Line
Source File
19293
Bio/NeuralNetwork/Gene/Schema.py
29353
Bio/NeuralNetwork/Gene/Schema.py
Clone Instance
1
Line Count
9
Source Line
293
Source File
Bio/NeuralNetwork/Gene/Schema.py

        # convert the genome into a string
        seq_motif = genome.toseq( ) 
        motif = seq_motif.data 

        # get the counts in the positive examples
        num_pos = 0 
        for seq_record in self._pos_seqs: 
             cur_counts = self._schema_eval.num_matches(motif,seq_record.seq.data) 

             num_pos+=cur_counts 

         # get the counts in the negative examples


Clone Instance
2
Line Count
9
Source Line
353
Source File
Bio/NeuralNetwork/Gene/Schema.py

        # convert the genome into a string
        seq_motif = genome.toseq( ) 
        motif = seq_motif.data 

        # find the number of times the genome matches
        num_times = 0 
        for seq_record in self._records: 
             cur_counts = self._evaluator.num_matches(motif,seq_record.seq.data) 

             num_times+=cur_counts 


Clone AbstractionParameter Count: 3Parameter Bindings

# convert the genome into a string
seq_motif = genome.toseq( ) 
motif = seq_motif.data 
 [[#variable77b729e0]]= 0 
for seq_record in self. [[#variable2e7c77e0]]:
  cur_counts = self. [[#variable77b72a00]].num_matches(motif,seq_record.seq.data) 
   [[#variable77b729e0]]+=cur_counts 
  # get the counts in the negative examples
 

CloneAbstraction
Parameter Bindings
Parameter
Index
Clone
Instance
Parameter
Name
Value
11[[#77b729e0]]
# find the number of times the genome matches
num_times 
12[[#77b729e0]]
# get the counts in the positive examples
num_pos 
21[[#2e7c77e0]]
_records 
22[[#2e7c77e0]]
_pos_seqs 
31[[#77b72a00]]
_evaluator 
32[[#77b72a00]]
_schema_eval