data:image/png;base64,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 data:image/png;base64,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


  
    
      
      
      
      
      
        
        
          nameline
          
            
              
               and 
              
                
                  
                
                
              
            
          
        
        
          
        
      
    
    
      
      
      
      
      
    
    
      
      
      
      
      
        
        
          nameline
          
            
              
               and 
              
                
                  
                
                
              
            
          
        
        
          
        
      
    
    
      
      
      
      
      
        
      
    
    
      
      
      
      
      
            
          
        
      
    
    
      Take any number of input lists, and create a new list
containing the items of the input lists.  So
APPEND [A B] [C D]
where the [...] are lists reports the list
[A B C D]
not [[A B] [C D]].
      
      
      ca:concatena _

      
        
      
      
            
            
              
                
                  
                
                1
              
              
            
            
              
                
                  1
                  
                
                
                  
                
              
              
            
            
              
                
                  1
                  
                    1
                    
                  
                
                
                  
                    
                      
                        1
                        
                      
                    
                    
                      
                    
                  
                
              
            
          
        
      
    
    
      Reports a new list containing the items of the input list, but in the opposite order.
      
      
      ca:capgira _

      
        
      
      
              
              
                
                  
                  
                    
                      
                    
                    
                      
                        1
                        
                      
                      
                    
                  
                
              
            
            
              input
              result
            
          
        
        
          
        
      
    
    
      Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.
      
      
      ca:elimina els duplicats de _

      
        
      
      
            
            
              
                
                  
                
                
                  1
                  
                
              
              
              
            
          
        
      
    
    
      Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot.  For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.
      
      
      ca:ordena _ segons criteri _

      
        
        
      
      
            
          
        
        
          copy of data
          
            
            
          
        
        
          split
          
            
                  
                
              
            
            
          
        
        
          merge
          
            
              
              
                
                  
                  
                    
                  
                
                
              
              
                
                  
                  
                    
                      1
                      
                    
                    
                      1
                      
                    
                  
                
                
                
              
            
            
              #1
              #2
            
          
        
        
          
            
            
              
            
          
          
        
        
          
            
              
            
            
              
            
          
          
        
        
          
          
        
        
          
            
            
              
                
                
              
              
                
                
              
            
          
        
      
    
    
      The second input is an "association list," a list of two-item lists.  Each of those smaller lists has a "key" as its first item and a "value" as its second.  ASSOC reports the first key-value pair in the association list whose key matches the first input.
      
      
      ca:associació _ _

      
        
        
      
      
        
        
          
            
            
              1
              
                1
                
              
            
          
          
        
        
          
            
            
              
            
          
        
      
    
    
      This block applies the given function to each item of the given list, like the primitive MAP block, but with two differences:

1.  The # variable provided will contain the item number of the item currently being used in the given function: 1 for item 1, and so on.  You read the variable in your function; don't set it.

2.  You can provide more than one input list.  If so, the lengths of all the lists should be the same, and the function you supply must expect as many inputs as you have lists (i.e., that many empty input slots in the function).
      
      
      ca:_ mapeja _ sobre _

      
        
        
        
      
      
                  
                  
                    #
                    
                  
                  
                    
                      
                        
                        
                          
                            1
                            
                          
                        
                      
                      
                        
                        
                          
                            
                          
                          
                            
                            1
                          
                        
                      
                    
                  
                
                
                  data
                  count
                
              
            
            
              mapmany
              
                
                  
                  
                    #
                    
                  
                  
                    
                      
                        
                        
                          #
                          
                            
                              
                                1
                                
                              
                            
                            
                          
                          
                            
                          
                        
                      
                      
                        
                        
                          
                            #
                            
                              
                                
                                  
                                
                              
                              
                            
                            
                              
                            
                          
                          
                            
                            1
                          
                        
                      
                    
                  
                
                
                  data lists
                  count
                
              
            
            
              
                
                  
                
              
              
              
            
          
        
      
    
    
      This block makes a new list containing selected items from the given list, like the primitive KEEP block.

What's different is that it provides the # variable for use in your predicate function.  It will contain the item number (in the original list) of the item being examined by the predicate.
      
      
      ca:_ manté els elements on _ de _

      
        
        
        
      
      
                  
                  
                    #
                    
                  
                  
                    
                      
                      
                        
                          1
                          
                        
                      
                    
                    
                    
                  
                
              
            
            
              data
              count
            
          
        
        
          
            
            
              
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      This block carries out the given script for each item of the given list, like the primitive FOR EACH.

What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.
      
      
      ca:_ per cada _ de _ _

      
        
        
        
        
      
      
        
      
    
    
      
      
      
      
      
              
            
          
        
      
    
    
      
      
      
      
      
              
            
          
        
      
    
    
      
      
      
      
      
        
      
    
    
      
      
      
      
      
            
          
        
      
      
        
        
              
            
          
        
      
    
  
  
    
      Welcome, Josh, Leif, Tom, Zack, Gavin, Moises and Joe
    
    
      Josh,Leif,Tom,Zack,Gavin,Moises,Joe,Clyde
    
    
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