examples/opf/tools/MirrorImageViz/mirrorImageViz.py
def printOverlaps(comparedTo, coincs, seen):
  """ Compare the results and return True if success, False if failure
    
  Parameters:
  --------------------------------------------------------------------
  coincs:               Which cells are we comparing?
  comparedTo:           The set of 40 cells we being compared to (they have no overlap with seen)
  seen:                 Which of the cells we are comparing to have already been encountered.
                        This helps glue together the unique and reused coincs
  """
  inputOverlap = 0
  cellOverlap = 0
  for y in comparedTo:
    closestInputs = []
    closestCells = []
    if len(seen)>0:
      inputOverlap = max([len(seen[m][1].intersection(y[4])) for m in xrange(len(seen))])
      cellOverlap = max([len(seen[m][0].intersection(y[1])) for m in xrange(len(seen))])
      for m in xrange( len(seen) ):
        if len(seen[m][1].intersection(y[4]))==inputOverlap:
          closestInputs.append(seen[m][2])
        if len(seen[m][0].intersection(y[1]))==cellOverlap:
          closestCells.append(seen[m][2])
    seen.append((y[1], y[4], y[0]))
        
    print 'Pattern',y[0]+1,':',' '.join(str(len(z[1].intersection(y[1]))).rjust(2) for z in coincs),'input overlap:', inputOverlap, ';', len(closestInputs), 'closest encodings:',','.join(str(m+1) for m in closestInputs).ljust(15), \
    'cell overlap:', cellOverlap, ';', len(closestCells), 'closest set(s):',','.join(str(m+1) for m in closestCells)
  
  return seen
def printOverlaps(comparedTo, coincs, seen):
  """ Compare the results and return True if success, False if failure
    
  Parameters:
  --------------------------------------------------------------------
  coincs:               Which cells are we comparing?
  comparedTo:           The set of 40 cells we being compared to (they have no overlap with seen)
  seen:                 Which of the cells we are comparing to have already been encountered.
                        This helps glue together the unique and reused coincs
  """
  inputOverlap = 0
  cellOverlap = 0
  for y in comparedTo:
    closestInputs = []
    closestCells = []
    if len(seen)>0:
      inputOverlap = max([len(seen[m][1].intersection(y[4])) for m in xrange(len(seen))])
      cellOverlap = max([len(seen[m][0].intersection(y[1])) for m in xrange(len(seen))])
      for m in xrange( len(seen) ):
        if len(seen[m][1].intersection(y[4]))==inputOverlap:
          closestInputs.append(seen[m][2])
        if len(seen[m][0].intersection(y[1]))==cellOverlap:
          closestCells.append(seen[m][2])
    seen.append((y[1], y[4], y[0]))
        
    print 'Pattern',y[0]+1,':',' '.join(str(len(z[1].intersection(y[1]))).rjust(2) for z in coincs),'input overlap:', inputOverlap, ';', len(closestInputs), 'closest encodings:',','.join(str(m+1) for m in closestInputs).ljust(15), \
    'cell overlap:', cellOverlap, ';', len(closestCells), 'closest set(s):',','.join(str(m+1) for m in closestCells)
  
  return seen
def printOverlaps ( comparedTo , coincs , seen ) : inputOverlap = 0 cellOverlap = 0 for y in comparedTo : closestInputs = [ ] closestCells = [ ] if len ( seen ) > 0 : inputOverlap = max ( [ len ( seen [ m ] [ 1 ] . intersection ( y [ 4 ] ) ) for m in xrange ( len ( seen ) ) ] ) cellOverlap = max ( [ len ( seen [ m ] [ 0 ] . intersection ( y [ 1 ] ) ) for m in xrange ( len ( seen ) ) ] ) for m in xrange ( len ( seen ) ) : if len ( seen [ m ] [ 1 ] . intersection ( y [ 4 ] ) ) == inputOverlap : closestInputs . append ( seen [ m ] [ 2 ] ) if len ( seen [ m ] [ 0 ] . intersection ( y [ 1 ] ) ) == cellOverlap : closestCells . append ( seen [ m ] [ 2 ] ) seen . append ( ( y [ 1 ] , y [ 4 ] , y [ 0 ] ) ) print 'Pattern' , y [ 0 ] + 1 , ':' , ' ' . join ( str ( len ( z [ 1 ] . intersection ( y [ 1 ] ) ) ) . rjust ( 2 ) for z in coincs ) , 'input overlap:' , inputOverlap , ';' , len ( closestInputs ) , 'closest encodings:' , ',' . join ( str ( m + 1 ) for m in closestInputs ) . ljust ( 15 ) , 'cell overlap:' , cellOverlap , ';' , len ( closestCells ) , 'closest set(s):' , ',' . join ( str ( m + 1 ) for m in closestCells ) return seen
Compare the results and return True if success, False if failure
    
  Parameters:
  --------------------------------------------------------------------
  coincs:               Which cells are we comparing?
  comparedTo:           The set of 40 cells we being compared to (they have no overlap with seen)
  seen:                 Which of the cells we are comparing to have already been encountered.
                        This helps glue together the unique and reused coincs
Compare the results and return True if success False if failure Parameters : -------------------------------------------------------------------- coincs : Which cells are we comparing? comparedTo : The set of 40 cells we being compared to ( they have no overlap with seen ) seen : Which of the cells we are comparing to have already been encountered . This helps glue together the unique and reused coincs