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minimal distance between elements on list

furas Jul 25th, 2018 (edited) 65 Never
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  1. import numpy as np
  2.  
  3. # --- version 1 ---
  4.  
  5. def np_min_distance(data, val1, val2):
  6.     pos1 = np.where(data == val1)
  7.     pos2 = np.where(data == val2)
  8.    
  9.     dist = 0
  10.  
  11.     for x in pos1[0]:
  12.         for y in pos2[0]:
  13.             d = abs(x-y)
  14.             if dist == 0 or d < dist:
  15.                 dist = d
  16.    
  17.     return dist
  18.  
  19.  
  20. data = np.array([1, 5, 3, 7, 2, 8, 3, 4, 5, 9, 9, 3, 1, 3, 2, 9])
  21.  
  22. print( '4, 7 -> 4', np_min_distance(data, 4, 7) == 4 )
  23. print('---')
  24.  
  25. print( '9, 3 -> 1', np_min_distance(data, 9, 3) == 1 )
  26. print('---')
  27.  
  28. data = np.array([4, 4, 4, 4, 7, 7, 7, 7, 4, 4])
  29.  
  30. print( '4, 7 -> 1', np_min_distance(data, 4, 7) == 1 )
  31. print('---')
  32.  
  33.  
  34. print('------------------------------------------------')
  35.  
  36. # --- version 2 ---
  37.    
  38. def min_distance(data, val1, val2):
  39.     pos1 = None
  40.     pos2 = None
  41.     dist = 0 # or some big value
  42.     previous = None
  43.    
  44.     for pos, item in enumerate(data):
  45.    
  46.         if item == val1:
  47.             pos1 = pos
  48.             if pos1 and pos2 and previous != val1: # if `pos1` and `post2` is not `None` then `previous` can't be `None` so I don't have to check if `previous is not None`
  49.                 d = abs(pos1 - pos2)
  50.                 print('pos:', pos1, pos2, '->', d)
  51.                 if dist == 0 or d < dist:
  52.                     dist = d
  53.                 #if dist == 1:
  54.                 #    return 1
  55.             previous = val1        
  56.    
  57.         elif item == val2:
  58.             pos2 = pos
  59.             if pos1 and pos2 and previous != val2:
  60.                 d = abs(pos1 - pos2)
  61.                 print('pos:', pos1, pos2, '->', d)
  62.                 if dist == 0 or d < dist:
  63.                     dist = d
  64.                 #if dist == 1:
  65.                 #    return 1
  66.             previous = val2
  67.    
  68.     #print('result:', dist)
  69.  
  70.     return dist # zero means no found
  71.  
  72.  
  73. data = [1, 5, 3, 7, 2, 8, 3, 4, 5, 9, 9, 3, 1, 3, 2, 9]
  74.  
  75. print( '4, 7 -> 4', min_distance(data, 4, 7) == 4 )
  76. print('---')
  77.  
  78. print( '9, 3 -> 1', min_distance(data, 9, 3) == 1 )
  79. print('---')
  80.  
  81. data = [4, 4, 4, 4, 7, 7, 7, 7, 4, 4]
  82.  
  83. print( '4, 7 -> 1', min_distance(data, 4, 7) == 1 )
  84. print('---')
  85.  
  86. print( '9, 3 -> 0', min_distance(data, 9, 3) == 0 )
  87. print('---')
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