def read_serialized(self,input):
   a = decode_64(input)
   self.transcripts = a['transcripts']
   if a['expression']:
     self.expression = IsoformExpression()
     self.expression.read_serialized(a['expression'])
   else: self.expression = a['expression']
   self.ref_hash = a['ref_hash']
 def read_serialized(self, input):
     a = decode_64(input)
     self.transcripts = a['transcripts']
     if a['expression']:
         self.expression = IsoformExpression()
         self.expression.read_serialized(a['expression'])
     else:
         self.expression = a['expression']
     self.ref_hash = a['ref_hash']
 def read_serialized(self,instring):
   a = decode_64(instring)
   if a['transcriptome1']:
     self.transcriptome1 = TranscriptomeBasics.Transcriptome()
     self.transcriptome1.read_serialized(a['transcriptome1'])
   else:
     self.transcriptome1 = a['transcriptome1']
   if a['transcriptome2']:
     self.transcriptome2 = TranscriptomeBasics.Transcriptome()
     self.transcriptome2.read_serialized(a['transcriptome2'])
   else:
     self.transcriptome2 = a['transcriptome2']
   self.emissions_report = a['emissions_report']
   self.transcriptome1_rho = a['transcriptome1_rho']
   self.gaussian_fragmentation = a['gaussian_fragmentation']
   self.gene_names = a['gene_names']
   self.name2locus = a['name2locus']
 def read_serialized(self, instring):
     self.expression = decode_64(instring)
     self.update_expression()
 def read_serialized(self,instring):
   self.expression = decode_64(instring)
   self.update_expression()