Taking Back Ctrl: Keyboard Shortcuts in the Dyalog IDEs

In this blog post post I describe:

  • how to use standard Ctrl keyboard shortcuts when using Dyalog on all platforms.
  • little-known APL input features for Microsoft Windows.
  • alternative input methods that do not use the Ctrl key for APL input.

I don’t personally use the official Dyalog IME for Microsoft Windows as my daily APL input method. My only complaints are that it forces me to use the Ctrl key for APL input, which conflicts with conventional shortcuts for most applications, and for some reason it puts an additional item in my input method list because I have a Japanese input enabled, even though that is not a supported layout for the IME!

I am a fan of Adám’s AltGr keyboard for Windows for a couple of reasons. It is based on the Microsoft Keyboard Layout Creator (MSKLC), and appears to work in newer Universal Windows Platform (UWP) apps and with the default On-Screen Keyboard on Windows. It also has accents and box-drawing characters. However, support might be unreliable, because Microsoft do not officially support MSKLC on Windows 11, and there are rumoured issues with using it on ARM machines. Its main drawback is the limited choice of shifting keys, which can make it difficult to use with certain keyboard layouts or in certain applications. Personally, I am fond of using Caps Lock as my primary APL shifting key, because it is rare these days that I need to TYPE A BUNCH OF THINGS IN ALL CAPITALS – it feels like shouting.

I used to do this by mapping Caps Lock to Alt Gr through some registry trickery. However, Kanata allows me to use almost any keys I like. I now have Caps Lock and Right Ctrl as APL shifting keys. In addition, I can double-tap Caps Lock to toggle it, so I can SHOUT OVER TEXT if I really need to. It’s cross-platform, so my single APL Kanata configuration gives me a consistent experience even when using my Linux virtual machine. There are still many features on my wish list for a comprehensive input method editor, but this is quite good for now (I wonder if anybody is able to adapt mozc for APL?).

Whichever keyboard input method you use, once you are not using Ctrl for APL input you will be very glad to get back your beloved, conventional keyboard shortcuts for use in the Dyalog editor.

In the Dyalog IDE for Microsoft Windows, you can set keyboard shortcuts by selecting Options > Configure in the Session’s menu bar, then selecting the Keyboard Shortcuts tab. From here, you can click on a code that corresponds to an action for which you want to set a shortcut.

Dyalog IME for Microsoft Windows Configuration Dialog

These are keyboard shortcuts recognised by the Dyalog development environment.

I set:

  • <FX> to Ctrl+S to save changes in the editor without closing it
  • <SA> to Ctrl+A to select all text in a window
  • <CP> to Ctrl+C to copy text
  • <CT> to Ctrl+X to cut text
  • <PT> to Ctrl+V to paste text
  • <SC> to Ctrl+F to search and find text in the session log, editor, and debugger
  • <RP> to Ctrl+H to search and replace text in the session log, editor, and debugger

To help find these in the list, click on the Code column title to put them in alphabetical order.

In Ride, only <FX> needs to be set, as the other shortcuts should default to this behaviour.

Having said all that, the official Dyalog IME still has features that would be invaluable especially if I were a brand new user. You can read about these in the Dyalog for Microsoft Windows UI guide and configure them using the IDE by going to Options > Configure > Unicode Input > Configure Layout. A little-known tip is that its backtick (also known as introducer or prefix) input method offers a searchable keyword menu, so that you can find glyphs by name or by the name of the function or operator it represents.

After setting the prefix introducer key to # (octothorpe / hash), pressing twice and typing “rot” shows suggestions for the glyphs and with the keywords “rotate” and “rotatefirst”.

There’s also the wonderful overstrike feature. Once upon a time, APL was executed on remote machines accessed using the IBM Selectric Teletype typewriter; you can see this in this demonstration from 1975. Certain characters would be composed by typing one symbol over another, such as printing a vertical bar (|) over a circle () to produce the circle-bar glyph for rotate/reverse ().

Its basic usage is a feature of the IDE for Microsoft Windows; the IME isn’t required at all. If you press the Ins key on your keyboard, it usually toggles “insert” or “overtype” mode. This is typically indicated by the vertical bar text cursor changing into an underbar. Typing will then replace existing text indicated by the cursor. With overstrikes enabled, APL glyphs can be created using other glyphs!

APL Glyph Overstrike Animation

Insert, Slash (/), LeftArrow, Dash (-), Circle (), LeftArrow, Stile (|)

The IME allows you to use this in applications other than Dyalog by ticking Enable Overstrikes from the IME settings. You can read the documentation to learn more, but the basic mechanism is to use the Overstrike Introducer Key (default Ctrl+Backspace) followed by entering the two symbols to overstrike.

Settings menu for the Dyalog Input Method Editor

For this post I just wanted to highlight aspects of APL input beyond the simple defaults. For more about using your keyboard with Dyalog, see Adám’s blog post about enhanced debugging keys.

Enhanced Debugging with Function Keys – Evaluate selection

See also Enhanced Debugging with Function Keys.

When tracing through a complex dfn and reaching a guard (condition:result), I am often wary of tracing into that line because if the condition evaluates to 1 then the current function I’m tracing through will terminate and return the result, leading to me losing situational awareness. Normally, I’d select the condition expression, copy it, move to the session and execute the expression, so I can predict what will happen next. Can we automate this? Yes we can.

Now, I usually prefer the Windows IDE for my daily development, but this is actually a case where RIDE has neat feature that’s missing from the IDE (but if you keep reading, I’ll show you how to achieve a similar effect in the IDE). In RIDE, go to Edit ⇒ Preferences ⇒ Shortcuts (or simply click ⌨︎ at the right end of the language bar), then type the name of a function key you want to use for this purpose, followed by a space, for example “F6 ” for . You’ll see exactly one entry in the listing. In the input field, write “<VAL>” (without quotes):

I defined a simple function to test it with, and traced into that:

      ⎕VR⎕FX'f←{' '⍺∧⍵:''both''' '⍺∨⍵:''either''' '''neither''' '}'
     ∇ f←{
[1]        ⍺∧⍵:'both'
[2]        ⍺∨⍵:'either'
[3]        'neither'
[4]    }
     ∇ 
      f

Tracing into f
Upon reaching a guard, I select the condition:
Selecting the condition
And Press :
Pressing F6
Voilà!

Cool, but how about the IDE?

Right, the Windows IDE doesn’t support the VAL command code, but we can easily emulate it by combining multiple command codes and assigning them to an F-key using ⎕PFKEY.

What we need to do is:

  1. Copy the current selection
  2. Jump to the session
  3. Paste
  4. Execute
  5. Jump back again

Options ⇒ Configure… ⇒ Keyboard Shortcuts ⇒ Description gives that the command codes for “Copy”, “JumP between current window and session window”, and “Paste” are CP, JP, and PT. We use ER (you can find all but JP using the ]KeyPress user command too) to press . Here we go:

      'CP' 'JP' 'PT' 'ER' 'JP' ⎕PFKEY 6
┌──┬──┬──┬──┬──┐
│CP│JP│PT│ER│JP│
└──┴──┴──┴──┴──┘

Keep it so!

RIDE keeps its setting, but of course, I wouldn’t want to be bothered with setting this up for every IDE session. So here’s a trick to set up F-keys (or anything else for that matter). When Dyalog APL starts up, it will look for MyUCMDs\setup.dyalog in your Documents folder ($HOME/MyUCMDs/setup.dyalog on non-Windows). If this file contains a function named Setup, it will be run whenever APL starts:

      ∇Setup
[1]  '<F6> is: ','CP' 'JP' 'PT' 'ER' 'JP' ⎕PFKEY 6
[2]  ∇
      (⊂⎕NR'Setup')⎕NPUT'C:\Users\Adam.DYALOG\Documents\MyUCMDs\setup.dyalog'

And now, when I start APL:
Upon start

Towards Improvements to Stencil

Background

The stencil operator was introduced in Dyalog version 16.0 in 2017. Recently we received some feedback (OK, complaints) that (a) stencil does padding which is unwanted sometimes and needs to be removed from the result and (b) stencil is too slow when it is not supported by special code.

First, stencil in cases supported by special code is much faster than when it is not. The special cases are as follows, from Dyalog ’17 Workshop SA3.

   {⍵}      {⊢⍵}      {,⍵}      {⊂⍵}
{+/,⍵}    {∧/,⍵}    {∨/,⍵}    {=/,⍵}    {≠/,⍵}  
    
{  +/,A×⍵}    {  +/⍪A×⍤2⊢⍵}
{C<+/,A×⍵}    {C<+/⍪A×⍤2⊢⍵}
C:  a single number or variable whose value is a single number
A:  a variable whose value is a rank-2 or 3 array
The comparison can be < ≤ ≥ > = ≠
odd window size; movement 1; matrix argument
 

You can test whether a particular case is supported by using a circumlocution to defeat the special case recognizer.

   )copy dfns cmpx

   cmpx '{⍵}⌺3 5⊢y' '{⊢⊢⍵}⌺3 5⊢y' ⊣ y←?100 200⍴0
  {⍵}⌺3 5⊢x   → 4.22E¯4 |      0%                               
  {⊢⊢⍵}⌺3 5⊢x → 5.31E¯2 | +12477% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

   cmpx '{⌽⍵}⌺3 5⊢y' '{⊢⊢⌽⍵}⌺3 5⊢y'
  {⌽⍵}⌺3 5⊢y   → 2.17E¯1 |  0% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕
  {⊢⊢⌽⍵}⌺3 5⊢y → 2.21E¯1 | +1% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

If the timings are the same then there is no special code.

Padding and performance improvements will take a lot of work. For example, for padding (i.e. the treatment of cells at the edge of the universe) multiple options are possible: no padding, padding, wrap from opposite edge, etc. While working on these improvements I hit upon the idea of writing a stencil function which produces the stencil cells. It only works with no padding and only for movements of 1 (which I understand are common cases), but turns out to be an interesting study.

A Stencil Function

⍺ stencell ⍵ produces the stencil cells of size from  , and is equivalent to {⍵}⌺⍺⊢⍵ after the padded cells are removed.

stencell←{
  ⎕io←0                 ⍝ ⎕io delenda est!
  s←(≢⍺)↑⍴⍵
  f←1+s-⍺               ⍝ frame AKA outer shape
  m←⊖×⍀⊖1↓s,1           ⍝ multiplier for each axis
  i←⊃∘.+⌿(m,m)×⍳¨f,⍺    ⍝ indices
  (⊂i) ⌷ ⍵ ⍴⍨ (×⌿(≢⍺)↑⍴⍵),(≢⍺)↓⍴⍵
}

For example, stencell is applied to x with cell shape 3 5 .

   ⊢ x←6 10⍴⍳60                    ⍝ (a)
 0  1  2  3  4  5  6  7  8  9
10 11 12 13 14 15 16 17 18 19
20 21 22 23 24 25 26 27 28 29
30 31 32 33 34 35 36 37 38 39
40 41 42 43 44 45 46 47 48 49
50 51 52 53 54 55 56 57 58 59

   c←3 5 stencell x                ⍝ (b)
   ⍴c
4 6 3 5

   c ≡ 1 2 ↓ ¯1 ¯2 ↓ {⍵}⌺3 5 ⊢x    ⍝ (c)
1

   ⊢ e←⊂⍤2 ⊢c                      ⍝ (d)
┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐
│ 0  1  2  3  4│ 1  2  3  4  5│ 2  3  4  5  6│ 3  4  5  6  7│ 4  5  6  7  8│ 5  6  7  8  9│
│10 11 12 13 14│11 12 13 14 15│12 13 14 15 16│13 14 15 16 17│14 15 16 17 18│15 16 17 18 19│
│20 21 22 23 24│21 22 23 24 25│22 23 24 25 26│23 24 25 26 27│24 25 26 27 28│25 26 27 28 29│
├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│10 11 12 13 14│11 12 13 14 15│12 13 14 15 16│13 14 15 16 17│14 15 16 17 18│15 16 17 18 19│
│20 21 22 23 24│21 22 23 24 25│22 23 24 25 26│23 24 25 26 27│24 25 26 27 28│25 26 27 28 29│
│30 31 32 33 34│31 32 33 34 35│32 33 34 35 36│33 34 35 36 37│34 35 36 37 38│35 36 37 38 39│
├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│20 21 22 23 24│21 22 23 24 25│22 23 24 25 26│23 24 25 26 27│24 25 26 27 28│25 26 27 28 29│
│30 31 32 33 34│31 32 33 34 35│32 33 34 35 36│33 34 35 36 37│34 35 36 37 38│35 36 37 38 39│
│40 41 42 43 44│41 42 43 44 45│42 43 44 45 46│43 44 45 46 47│44 45 46 47 48│45 46 47 48 49│
├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤
│30 31 32 33 34│31 32 33 34 35│32 33 34 35 36│33 34 35 36 37│34 35 36 37 38│35 36 37 38 39│
│40 41 42 43 44│41 42 43 44 45│42 43 44 45 46│43 44 45 46 47│44 45 46 47 48│45 46 47 48 49│
│50 51 52 53 54│51 52 53 54 55│52 53 54 55 56│53 54 55 56 57│54 55 56 57 58│55 56 57 58 59│
└──────────────┴──────────────┴──────────────┴──────────────┴──────────────┴──────────────┘

    ∪¨ ,¨ e-⍬⍴e                    ⍝ (e)
┌──┬──┬──┬──┬──┬──┐
│0 │1 │2 │3 │4 │5 │
├──┼──┼──┼──┼──┼──┤
│10│11│12│13│14│15│
├──┼──┼──┼──┼──┼──┤
│20│21│22│23│24│25│
├──┼──┼──┼──┼──┼──┤
│30│31│32│33│34│35│
└──┴──┴──┴──┴──┴──┘
(a)  The matrix x is chosen to make stencil results easier to understand.
(b) stencell is applied to x with cell shape 3 5 .
(c) The result of stencell is the same as that for {⍵}⌺ after cells with padding are dropped.
(d) Enclose the matrices in c (the cells) to make the display more compact and easier to understand.
(e) Subsequent discussion is based on the observation that each cell is some scalar integer added to the first cell.

Indices

The key expression in the computation is

   ⊃∘.+⌿(m,m)×⍳¨f,⍺ 

where

   m:  10 1;  multiplier for each axis
   f:  4 6;  multiplier for each axis
   ⍺:  3 5;  multiplier for each axis
 

We discuss a more verbose but equivalent version of this expression,

   (⊃∘.+⌿m×⍳¨f)∘.+(⊃∘.+⌿m×⍳¨⍺)

and in particular the right half, ⊃∘.+⌿m×⍳¨⍺ , which produces the first cell.

   ⍳⍺               ⍝ ⍳3 5
┌───┬───┬───┬───┬───┐
│0 0│0 1│0 2│0 3│0 4│
├───┼───┼───┼───┼───┤
│1 0│1 1│1 2│1 3│1 4│
├───┼───┼───┼───┼───┤
│2 0│2 1│2 2│2 3│2 4│
└───┴───┴───┴───┴───┘
   (⍴⍵)∘⊥¨⍳⍺        ⍝ 6 10∘⊥¨ ⍳3 5
 0  1  2  3  4
10 11 12 13 14
20 21 22 23 24

Alternatively, this last result obtains by multiplying by m the corresponding indices for each axis, where an element of m is the increment for a unit in an axis. That is, m←⊖×⍀⊖1↓s,1 where s←(≢⍺)↑⍴⍵ is a prefix of the shape of  . The multipliers are with respect to the argument because the indices are required to be with respect to the argument  .

   ⍳¨⍺              ⍝ ⍳¨3 5
┌─────┬─────────┐
│0 1 2│0 1 2 3 4│
└─────┴─────────┘
   m×⍳¨⍺            ⍝ 10 1×⍳¨3 5
┌───────┬─────────┐
│0 10 20│0 1 2 3 4│
└───────┴─────────┘
   ∘.+⌿ m×⍳¨⍺       ⍝ ∘.+⌿ 10 1×⍳¨3 5
┌──────────────┐
│ 0  1  2  3  4│
│10 11 12 13 14│
│20 21 22 23 24│
└──────────────┘
   ((⍴⍵)∘⊥¨⍳⍺) ≡ ⊃∘.+⌿m×⍳¨⍺
1

This alternative computation is more efficient because it avoids creating and working on lots of small nested vectors and because the intermediate results for ∘.+⌿ grows fast from one to the next (i.e., O(⍟n) iterations in the main loop).

The left half, ⊃∘.+⌿m×⍳¨f , is similar, and computes the necessary scalar integers to be added to the result of the right half.

   ⊃ ∘.+⌿ m×⍳¨f     ⍝ ⊃ ∘.+⌿ 10 1×⍳¨4 6
 0  1  2  3  4  5
10 11 12 13 14 15
20 21 22 23 24 25
30 31 32 33 34 35

The shorter expression derives from the more verbose one by some simple algebra.

(⊃∘.+⌿m×⍳¨f)∘.+(⊃∘.+⌿m×⍳¨⍺)    ⍝ verbose version
⊃∘.+⌿(m×⍳¨f),m×⍳¨⍺             ⍝ ∘.+ is associative
⊃∘.+⌿(m,m)×(⍳¨f),⍳¨⍺           ⍝ m× distributes over ,
⊃∘.+⌿(m,m)×⍳¨f,⍺               ⍝ ⍳¨ distributes over ,

I am actually disappointed that the shorter expression was found ☺; it would have been amusing to have a non-contrived and short expression with three uses of ∘.+ .

Cells

Having the indices i in hand, the stencil cells obtain by indexing into an appropriate reshape or ravel of the right argument  . In general, the expression is

   (⊂i) ⌷ ⍵ ⍴⍨ (×/(≢⍺)↑⍴⍵),(≢⍺)↓⍴⍵

specifies the cell shape. If (≢⍺)=≢⍴⍵ , that is, if a length is specified for each axis of  , the expression is equivalent to (⊂i)⌷,⍵ or (,⍵)[i] ; if (≢⍺)<≢⍴⍵ , that is, if there are some trailing unstencilled axes, the expression is equivalent to (,[⍳≢⍺]⍵)[i;…;] (the leading ≢⍺ axes are ravelled) or ↑(,⊂⍤((≢⍴⍵)-≢⍺)⊢⍵)[i] (as if the trailing axes were shielded from indexing). The general expression covers both cases.

Application

stencell makes it possible to workaround current shortcomings in . The alternative approach is to use stencell to get all the stencil cells, all at once, and then work on the cells using  , +.× , and
other efficient primitives.

The following example is from Aaron Hsu. In the original problem the size of x is 512 512 64 .

   K←?64 3 3 64⍴0
   x←?256 256 64⍴0

   t←1 1↓¯1 ¯1↓{+/⍪K×⍤3⊢⍵}⌺3 3⊢x
   ⍴t
256 256 64

   cmpx '1 1↓¯1 ¯1↓{+/⍪K×⍤3⊢⍵}⌺3 3⊢x'
6.76E0 

The computation is slow because the cells are rank-3, not supported by special code. Aaron then devised a significant speed-up using a simpler left operand to create the ravels of the cells (but still no special code):

   t ≡ (1 1↓¯1 ¯1↓{,⍵}⌺3 3⊢x)+.×⍉⍪K
1
   cmpx '(1 1↓¯1 ¯1↓{,⍵}⌺3 3⊢x)+.×⍉⍪K'
1.67E0 

Use of stencell would improve the performance a bit further:

   t ≡ (,⍤3 ⊢3 3 stencell x)+.×⍉⍪K
1
   cmpx '(,⍤3 ⊢3 3 stencell x)+.×⍉⍪K'
1.09E0 

   cmpx '3 3 stencell x'
6.10E¯2

The last timing shows that the stencell computation is 6% (6.10e¯2÷1.09e0) of the total time.

Materializing all the cells does take more space than if the computation is incorporated in the left operand of  , and is practicable only if the workspace sufficiently large.

   )copy dfns wsreq

   wsreq '1 1↓¯1 ¯1↓{+/⍪K×⍤3⊢⍵}⌺3 3⊢x'
110649900
   wsreq '(1 1↓¯1 ¯1↓{,⍵}⌺3 3⊢x)+.×⍉⍪K'
647815900
   wsreq '(,⍤3 ⊢3 3 stencell x)+.×⍉⍪K'
333462260

Performance

stencell is competitive with {⍵}⌺ on matrices, where it is supported by special code written in C, and is faster when there is no special code. The benchmarks are done on a larger argument to reduce the effects of padding/unpadding done in {⍵}⌺ .

   y2←?200 300⍴0
          
   cmpx '3 5 stencell y2' '1 2↓¯1 ¯2↓{⍵}⌺3 5⊢y2' 
  3 5 stencell y      → 1.85E¯3 |   0% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕           
  1 2↓¯1 ¯2↓{⍵}⌺3 5⊢y → 2.91E¯3 | +57% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

   cmpx '3 5 stencell y' '{⍵}⌺3 5⊢y' 
  3 5 stencell y → 1.85E¯3 |   0% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕
* {⍵}⌺3 5⊢y      → 1.04E¯3 | -45% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕             

   y3←?200 300 64⍴0

   cmpx '3 5 stencell y3' '1 2↓¯1 ¯2↓{⍵}⌺3 5⊢y3' 
  3 5 stencell y3      → 8.90E¯2 |    0% ⎕⎕⎕                           
  1 2↓¯1 ¯2↓{⍵}⌺3 5⊢y3 → 7.78E¯1 | +773% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

   cmpx '3 5 stencell y3' '{⍵}⌺3 5⊢y3' 
  3 5 stencell y3 → 9.38E¯2 |    0% ⎕⎕⎕⎕⎕⎕⎕⎕                      
* {⍵}⌺3 5⊢y3      → 3.34E¯1 | +256% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

There is an interesting question of whether the shorter version of the key computation (in the Indices section above) is faster than the more verbose version.

   m←10 1 ⋄ f←4 6 ⋄ a←3 5

   cmpx '⊃∘.+⌿(m,m)×⍳¨f,a' '(⊃∘.+⌿m×⍳¨f)∘.+(⊃∘.+⌿m×⍳¨a)'
  ⊃∘.+⌿(m,m)×⍳¨f,a            → 3.75E¯6 |   0% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕
  (⊃∘.+⌿m×⍳¨f)∘.+(⊃∘.+⌿m×⍳¨a) → 5.20E¯6 | +38% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

In this case, it is faster, and I expect it will be faster for cases which arise in stencil calculations, where the argument size is larger than the cell size. But it is easy to think of arguments where ∘.+⌿ is slower than ∘.+ done with a different grouping:

   cmpx '((⍳0)∘.+⍳100)∘.+⍳200' '(⍳0)∘.+((⍳100)∘.+⍳200)' '⊃∘.+/⍳¨0 100 200'
  ((⍳0)∘.+⍳100)∘.+⍳200   → 7.86E¯7 |     0% ⎕⎕                            
  (⍳0)∘.+((⍳100)∘.+⍳200) → 1.05E¯5 | +1234% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕  
  ⊃∘.+/⍳¨0 100 200       → 1.11E¯5 | +1310% ⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕⎕

This question will be explored further in a later post.

Enhanced Debugging with Function Keys

Sometimes I want an additional functionality in the IDE. (Are you a RIDE user? We’ll cover that too!) For example, the other day, I was tracing through some very long functions to find an error which was being caught by a trap. Since the error was being caught, I couldn’t just let the function run until it would suspend. Again and again, I would press too many times, causing the error to happen and be trapped, and thus having to start all over again.

I wish I could select a line and run until there, I thought. Sure, I could set a break-point there and then continue execution, but that would drop me into the session upon hitting the break-point, and then I’d have to trace back into the function, and remember to clear the break-point. A repetitive work-flow indeed.

Make it so!

Luckily, I know someone who loves doing repetitive tasks: ⎕PFKEY. This is what I needed done:

  1. Toggle break-point (to set it)
  2. Resume execution
  3. Trace
  4. Toggle break point (to clear it)

A quick look in Options > Configure… > Keyboard Shortcuts > Code revealed that the command codes for these are BP, RM, TC, and BP again, so I tried:

      'BP' 'RM' 'TC' 'BP' ⎕PFKEY 10
 BP  RM  TC  BP 

I defined a simple function to test it with, and traced into that:

      ⎕FX 'f',⎕D
      ⎕VR 'f'
     ∇f
[1]   0
[2]   1
[3]   2
[4]   3
[5]   4
[6]   5
[7]   6
[8]   7
[9]   8
[10]  9
     ∇ 
      f

Tracing into f

Then I clicked on the line with a 7 on it, pressed , and lo:

Suspended on line 7

Keep it so!

Of course, I wouldn’t want to be bothered with setting this up in every session. So here’s a trick to set up F-keys (or anything else for that matter). When Dyalog APL starts up, it will look for MyUCMDs\setup.dyalog in your Documents folder ($HOME/MyUCMDs/setup.dyalog on non-Windows). If this file contains a function named Setup, it will be run whenever APL starts:

      ∇Setup
[1]  '<F10> is: ','BP' 'RM' 'TC' 'BP' ⎕PFKEY 10
[2]  ∇
      (⊂⎕NR'Setup')⎕NPUT'C:\Users\Adam.DYALOG\Documents\MyUCMDs\setup.dyalog'

And now, when I start APL:

New Session

Cool, but how about the RIDE?

Right, the RIDE doesn’t support ⎕PFKEY. However, Edit > Preferences > Shortcuts lets you both find the relevant command codes and assign them to F-keys. Just put <BP><RM><TC><BP> (type or paste those sixteen characters, with angle brackets and everything — don’t press the keys they symbolise!) in the PF10 input field:

Setting F10

The RIDE saves these preferences for you. Note that you can’t assign F-keys in $HOME/MyUCMDs/setup.dyalog because ⎕PFKEY has no effect in the RIDE, but you can still use that file to initialise other things.

Taking it one step further…

After using this for a while, I realised that I often want to “step into” a specific line . That is, I found myself pressing and then (the default keystroke for tracing). So I’ve assigned the same sequence, but with an additional trailing TC action:

      ∇Setup
[1]  '<F10> is: ','BP' 'RM' 'TC' 'BP' ⎕PFKEY 10
[2]  '<Ctrl>+<F10> is: ','BP' 'RM' 'TC' 'BP' 'TC' ⎕PFKEY 34
[3]  ∇
      (⊂⎕NR'Setup')⎕NPUT'C:\Users\Adam.DYALOG\Documents\MyUCMDs\setup.dyalog'

And for the RIDE, I set PF34 (which by default is invoked with ) to <BP><RM><TC><BP><TC>:

Setting Ctrl-F10

I-Beam Mnemonics

I-Beam () is an operator that takes as its operand a numeric code and derives a function which isn’t really considered to be part of the APL language – for example: something which could be experimental, which might provide access to parts of the interpreter that should only be accessed with care, or may set up specific conditions within the interpreter to help in testing. Principally, I-Beam functions exist for internal use within Dyalog but as of version 15.0 there are 55 I-Beam functions that are published and available for general use. How on earth are you supposed to remember all the different codes?

To an extent, you are not. It is perhaps no bad thing that they are a little difficult to remember: I-Beam functions are experimental, liable to be changed or even removed and should be used with care. The codes appear to be somewhat random partly because they are somewhat random – mostly selected on the whim of the developer who implemented the function. However, some codes were chosen less randomly than others – quite a few are grouped so that I-Beams that provide related functionality appear consecutively or at least close together but the most interesting ones are “named” – or, at least, given a numeric code that is derived from a name or otherwise memorable value. So here are some of those unofficial mnemonics that may help you better remember them too.

A favourite trick for deriving a code from a meaningful name is to devise a name containing the letters I, V, X, L, C, D and M, and then convert that into a number as if it were a Roman numeral. Thus:

  • “Inverted table IndeX of” is abbreviated to IIX, which is I-Beam 8
  • “Syntax Colouring” rather awkwardly becomes “Cyntax Colouring”, thence CC and I-Beam 200
  • “Called Monadically” is CM, or 900
  • “Memory Manager” is MM – I-Beam 2000
  • “Line Count” is LC, or rather L,C – 50100

Another favourite is to use numbers that look or sound like something else:

  • The compression I-Beam is 219, which looks a bit like “ZIP”
  • The case folding I-Beam is 819, or “BIg”
  • When support for function trains was in development an I-Beam was used to switch between different implementations – 1060, or “lOCO[motive]” (this I-Beam is no longer in use)
  • The number of parallel threads I-Beam is 1111 – four parallel lines
  • The fork I-Beam is 4000: 4000 is 4K; “Four K” said very quickly might sound like “Fork”

For others the function is associated, or can be associated, with something already numeric:

  • The I-Beam to update function timestamps is 1159 – a memorable time
  • The I-Beam to delete the content in unused pockets is 127 – the same as the ASCII code for the delete character
  • The draft JSON standard is RFC 7159 and support for it is implemented as 7159⌶
  • The now-deprecated I-Beam to switch between Random Number Generator algorithms is 16807 – the default value used to derive the random seed in a clear workspace

Tips for the use of I-Beam functions

  • Do not use I-Beam functions directly in application code – always encapsulate their use in cover-functions that can quickly be modified to protect your application in the event that Dyalog should change the behaviour of, or withdraw, an I-Beam function.
  • Do not use I-Beam functions that are not documented by Dyalog in the Language Reference or elsewhere – those designed to test the interpreter may have undesirable side effects.
  • Do let Dyalog know if you find an I-Beam function particularly useful and/or have suggestions for its development. Some new features are initially implemented as I-Beam functions to allow such feedback to shape their final design.

Loops, Folds and Tuples

For-loops
Given an initial state defined by a number of variables, a for-loop iterates through its argument array modifying the state.

    A←... ⋄ B←... ⋄ C←...       ⍝ initial state
    :For item :In items         ⍝ iterating through array "items"
        A←A ... item            ⍝ new value for A depending on item
        C←C ... A ... item      ⍝ new value for C depending on A and item
        ...                     ⍝ state updated
    :EndFor
    A B C                       ⍝ final state

In the above example the state comprises just three variables. In general, it may be arbitrarily complex, as can the interactions between its various components within the body of the loop.

Dfns
Dfns don’t have for-loops. Instead, we can use reduction (or “fold”) with an accumulating vector “tuple” of values representing the state. Here is the D-equivalent of the above code:

    ⊃{                      ⍝ next item is ⍺
        (A B C)←⍵           ⍝ named items of tuple ⍵
        A∆←A ... ⍺          ⍝ new value for A depending on item ⍺
        C∆←C ... A∆ ... ⍺   ⍝ new value for C depending on A∆ and item ⍺
        ...                 ⍝ ...
        A∆ B C∆             ⍝ "successor" tuple (A and C changed)
    }/(⌽items),⊂A B C       ⍝ for each item and initial state tuple A B C

In this coding, the accumulating tuple arrives as the right argument (⍵) of the operand function, with the next “loop item” on the left (⍺). Notice how the items vector is reversed (⌽items) so that the items arrive in index-order in the right-to-left reduction.

If you prefer your accumulator to be on the left, you can replace the primitive reduction operator (/) with Phil Last’s foldl operator, which also presents its loop items in index-order:

    foldl←{⊃⍺⍺⍨/(⌽⍵),⊂⍺}    ⍝ fold left

then:

    A B C {                 ⍝ final state from initial state (left argument)
        (A B C)←⍺           ⍝ named items of tuple ⍺
        A∆←A ... ⍵          ⍝ new value for A depending on item ⍵
        C∆←C ... A∆ ... ⍵   ⍝ new value for C depending on A∆ and item ⍵
        A∆ B C∆             ⍝ successor tuple (A and C changed)
    } foldl items

If the number of elements in the state tuple is large, it can become unwieldy to name each on entry and exit to the operand function. In this case it simplifies the code to name the indices of the tuple vector, together with an at operator to denote the items of its successor:

    T ← (...) (...) ...         ⍝ intitial state tuple T
    A B C D ... ← ⍳⍴T           ⍝ A B C D ... are tuple item "names"

    T {                         ⍝ final state from initial state (left argument)
        A∆←(A⊃⍺) ... ⍵          ⍝ new value for A depending on item ⍵
        C∆←(C⊃⍺) ... A∆ ... ⍵   ⍝ new value for C depending on A∆ and item ⍵
        A∆ C∆(⊣at A C)⍺         ⍝ successor tuple (A and C changed)
    } foldl items

where:

    at←{A⊣A[⍵⍵]←⍺ ⍺⍺(A←⍵)[⍵⍵]}   ⍝ (⍺ ⍺⍺ ⍵) at ⍵⍵ in ⍵

There is some discussion about providing a primitive operator @ for at in Dyalog V16.

Examples
Function kk illustrates naming tuple elements (S E K Q) at the start of the operand function.
Function scc accesses tuple elements using named indices (C L X x S) and an at operator.

Tuples: a postscript
We might define a “tuple” in APL as a vector in which we think of each item as having a name, rather than an index position.

    bob         ⍝ Tuple: name gender age
┌───┬─┬──┐
│Bob│M│39│
└───┴─┴──┘

    folk        ⍝ Vector of tuples
┌──────────┬────────────┬──────────┬────────────┬─
│┌───┬─┬──┐│┌─────┬─┬──┐│┌───┬─┬──┐│┌─────┬─┬──┐│
││Bob│M│39│││Carol│F│31│││Ted│M│31│││Alice│F│32││ ...
│└───┴─┴──┘│└─────┴─┴──┘│└───┴─┴──┘│└─────┴─┴──┘│
└──────────┴────────────┴──────────┴────────────┴─

    ↓⍉↑ folk    ⍝ Tuple of vectors
┌─────────────────────────┬────────┬───────────────┐
│┌───┬─────┬───┬─────┬─   │MFMF ...│39 31 31 32 ...│
││Bob│Carol│Ted│Alice│ ...│        │               │
│└───┴─────┴───┴─────┴─   │        │               │
└─────────────────────────┴────────┴───────────────┘

    ⍪∘↑¨ ↓⍉↑ folk   ⍝ Tuple of matrices
┌─────┬─┬──┐
│Bob  │M│39│
│Carol│F│31│
│Ted  │M│31│
│Alice│F│32│
 ...   . ..
└─────┴─┴──┘

APLers sometimes talk about “inverted files”. In this sense, a “regular” file is a vector-of-tuples and an inverted file (or more recently: “column store”) is a tuple-of-vectors (or matrices).