Simple examples: Difference between revisions
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This page | This page contains examples that show APL's strengths. The examples require minimal background and have no special dependencies. If these examples are too simple for you, have a look at our [[advanced examples]]. | ||
== Arithmetic mean == | |||
Here is an APL program to calculate the average (arithmetic mean) of a list of numbers, written as a [[dfn]]: | |||
<syntaxhighlight lang=apl> | |||
{(+⌿⍵)÷≢⍵} | |||
</syntaxhighlight> | |||
It is unnamed: the enclosing braces mark it as a function definition. It can be assigned a name for use later, or used anonymously in a more complex expression. | |||
The <syntaxhighlight lang=apl inline>⍵</syntaxhighlight> refers to the argument of the function, a list (or 1-dimensional array) of numbers. The <syntaxhighlight lang=apl inline>≢</syntaxhighlight> denotes the [[tally]] function, which returns here the length of (number of elements in) the argument <syntaxhighlight lang=apl inline>⍵</syntaxhighlight>. The divide symbol <syntaxhighlight lang=apl inline>÷</syntaxhighlight> has its usual meaning. | |||
The parenthesised <syntaxhighlight lang=apl inline>+⌿⍵</syntaxhighlight> denotes the sum of all the elements of <syntaxhighlight lang=apl inline>⍵</syntaxhighlight>. The <syntaxhighlight lang=apl inline>⌿</syntaxhighlight> operator combines with the <syntaxhighlight lang=apl inline>+</syntaxhighlight> function: the <syntaxhighlight lang=apl inline>⌿</syntaxhighlight> fixes the <syntaxhighlight lang=apl inline>+</syntaxhighlight> function between each element of <syntaxhighlight lang=apl inline>⍵</syntaxhighlight>, so that | |||
<syntaxhighlight lang=apl> | |||
+⌿ 1 2 3 4 5 6 | |||
21 | |||
</syntaxhighlight> | |||
is the same as | |||
<syntaxhighlight lang=apl> | |||
1+2+3+4+5+6 | |||
21 | |||
</syntaxhighlight> | |||
=== Operators === | |||
[[Operator]]s like <syntaxhighlight lang=apl inline>⌿</syntaxhighlight> can be used to derive new functions not only from [[primitive function]]s like <syntaxhighlight lang=apl inline>+</syntaxhighlight>, but also from defined functions. For example | |||
<syntaxhighlight lang=apl> | |||
{⍺,', ',⍵}⌿ | |||
</syntaxhighlight> | |||
will transform a list of strings representing words into a comma-separated list: | |||
<syntaxhighlight lang=apl> | |||
{⍺,', ',⍵}⌿'cow' 'sheep' 'cat' 'dog' | |||
┌────────────────────┐ | |||
│cow, sheep, cat, dog│ | |||
└────────────────────┘ | |||
</syntaxhighlight> | |||
So back to our mean example. <syntaxhighlight lang=apl inline>(+⌿⍵)</syntaxhighlight> gives the sum of the list, which is then divided by <syntaxhighlight lang=apl inline>≢⍵</syntaxhighlight>, the number elements in it. | |||
<syntaxhighlight lang=apl> | |||
{(+⌿⍵)÷≢⍵} 3 4.5 7 21 | |||
8.875 | |||
</syntaxhighlight> | |||
=== Tacit programming === | |||
{{Main|Tacit programming}} | |||
In APL’s tacit definition, no braces are needed to mark the definition of a function: primitive functions just combine in a way that enables us to omit any reference to the function arguments — hence ''tacit''. Here is the same calculation written tacitly: | |||
<syntaxhighlight lang=apl> | |||
(+⌿÷≢) 3 4.5 7 21 | |||
8.875 | |||
</syntaxhighlight> | |||
This is a so called 3-train, also known as a ''fork''. It is evaluated like this: | |||
{| | |||
|<syntaxhighlight lang=apl>(+⌿ ÷ ≢) 3 4.5 7 21</syntaxhighlight>|| {{←→}} ||<syntaxhighlight lang=apl>(+⌿ 3 4.5 7 21) ÷ (≢ 3 4.5 7 21)</syntaxhighlight> | |||
|} | |||
Note that <syntaxhighlight lang=apl inline>+⌿</syntaxhighlight> is evaluated as a single derived function. | |||
The general scheme for monadic 3-trains is the following: | |||
{| | |||
|<syntaxhighlight lang=apl>(f g h) ⍵</syntaxhighlight>|| {{←→}} ||<syntaxhighlight lang=apl>(f ⍵) g (h ⍵)</syntaxhighlight> | |||
|} | |||
But other types of [[Tacit programming#Trains|trains]] are also possible. | |||
==Text processing== | |||
APL represents text as character lists (vectors), making many text operations trivial. | |||
=== Split text by delimiter === | |||
<syntaxhighlight lang=apl inline>≠</syntaxhighlight> gives 1 for true and 0 for false. It [[scalar function|pairs up]] a single element argument with all the elements of the other arguments: | |||
<syntaxhighlight lang=apl> | |||
','≠'comma,delimited,text' | |||
1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 | |||
</syntaxhighlight> | |||
<syntaxhighlight lang=apl inline>⊢</syntaxhighlight> returns its right argument: | |||
<syntaxhighlight lang=apl> | |||
','⊢'comma,delimited,text' | |||
comma,delimited,text | |||
</syntaxhighlight> | |||
<syntaxhighlight lang=apl inline>⊆</syntaxhighlight> returns a list of runs as indicated by runs of 1s, leaving out elements indicated by 0s: | |||
<syntaxhighlight lang=apl> | |||
1 1 0 1 1 1⊆'Hello!' | |||
┌──┬───┐ | |||
│He│lo!│ | |||
└──┴───┘ | |||
</syntaxhighlight> | |||
We use the comparison [[vector]] to [[partition]] the right argument: | |||
[https://tryapl.org/?a=%27%2C%27%28%u2260%u2286%u22A2%29%27comma%2Cdelimited%2Ctext%27&run Try it now!] | |||
<syntaxhighlight lang=apl> | |||
','(≠⊆⊢)'comma,delimited,text' | |||
┌─────┬─────────┬────┐ | |||
│comma│delimited│text│ | |||
└─────┴─────────┴────┘ | |||
</syntaxhighlight> | |||
{{Works in|[[Dyalog APL]]}} | |||
Notice that you can read the [[tacit]] function <syntaxhighlight lang=apl inline>≠⊆⊢</syntaxhighlight> like an English sentence: ''The inequality partitions the right argument''. | |||
Many dialects do not support the above [[tacit]] syntax, and use the [[glyph]] <syntaxhighlight lang=apl inline>⊂</syntaxhighlight> for partition [[primitive function]]. In such dialects, the following formulation can be used: | |||
<syntaxhighlight lang=apl> | |||
(','≠s)⊂s←'comma,delimited,text' | |||
</syntaxhighlight> | |||
{{Works in|[[APL2]], [[APLX]], [[GNU APL]]}} | |||
This assigns the text to the variable <syntaxhighlight lang=apl inline>s</syntaxhighlight>, then separately computes the partitioning vector and applies it. | |||
=== Indices of multiple elements === | |||
<syntaxhighlight lang=apl inline>∊</syntaxhighlight> gives us a mask for elements (characters) in the left argument that are members of the right argument: | |||
<syntaxhighlight lang=apl> | |||
'mississippi'∊'sp' | |||
0 0 1 1 0 1 1 0 1 1 0 | |||
</syntaxhighlight> | |||
<syntaxhighlight lang=apl inline>⍸</syntaxhighlight> gives us the indices where true (1): | |||
<syntaxhighlight lang=apl> | |||
⍸'mississippi'∊'sp' | |||
3 4 6 7 9 10 | |||
</syntaxhighlight> | |||
We can combine this into an anonymous infix (dyadic) function: | |||
<syntaxhighlight lang=apl> | |||
'mississippi' (⍸∊) 'sp' | |||
3 4 6 7 9 10 | |||
</syntaxhighlight> | |||
{{Works in|[[Dyalog APL]], [[NARS2000]], [[dzaima/APL]]}} | |||
=== Frequency of characters in a string === | |||
The [[Outer Product]] allows for an intuitive way to compute the occurrence of characters at a given location in a string: | |||
<syntaxhighlight lang=apl> | |||
'abcd' ∘.= 'cabbage' | |||
0 1 0 0 1 0 0 | |||
0 0 1 1 0 0 0 | |||
1 0 0 0 0 0 0 | |||
0 0 0 0 0 0 0 | |||
</syntaxhighlight> | |||
Then it is simply a matter of performing a sum-reduce <syntaxhighlight lang=apl inline>+/</syntaxhighlight> to calculate the total frequency of each character:<ref name="Marshall LambaConf 2019">[[Marshall Lochbaum]] used this example as part of his talk on [[Outer Product]] at LambdaConf 2019.</ref> | |||
<syntaxhighlight lang=apl> | |||
+/ 'abcd' ∘.= 'cabbage' | |||
2 2 1 0 | |||
</syntaxhighlight> | |||
=== Parenthesis nesting level === | === Parenthesis nesting level === | ||
< | {{quote | "Ken was showing some slides — and one of his slides had something on it that I was later to learn was an APL [[one-liner]]. And he tossed this off as an example of the expressiveness of the APL notation. I believe the one-liner was one of the standard ones for indicating the nesting level of the parentheses in an algebraic expression. But the one-liner was very short — ten characters, something like that — and having been involved with programming things like that for a long time and realizing that it took a reasonable amount of code to do, I looked at it and said, “My God, there must be something in this language.”"|[[Alan Perlis]]. ''[https://www.jsoftware.com/papers/perlis78.htm Almost Perfect Artifacts Improve only in Small Ways: APL is more French than English]'' at [[APL78]].}} | ||
What was the one-liner for the nesting level of parentheses? It would take a bit of work to figure out, because at the time of the meeting Perlis described, no APL implementation existed. Two possibilities are explained here. | |||
==== Method A ==== | |||
For this more complex computation, we can expand on the previous example's use of <syntaxhighlight lang=apl inline>∘.=</syntaxhighlight>. First we compare all characters to the opening and closing characters; | |||
<syntaxhighlight lang=apl> | |||
'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' | |||
0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 | |||
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 | |||
</syntaxhighlight> | |||
An opening increases the current level, while a closing decreases, so we convert this to ''changes'' (or ''deltas'') by subtracting the bottom row from the top row: | |||
<syntaxhighlight lang=apl> | |||
-⌿'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' | |||
0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 ¯1 ¯1 ¯1 | |||
</syntaxhighlight> | |||
The running sum is what we're looking for: | |||
<syntaxhighlight lang=apl> | |||
+\-⌿'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' | +\-⌿'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' | ||
0 0 0 0 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 2 1 | 0 0 0 0 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 2 1 | ||
</ | </syntaxhighlight> | ||
{{ | {{Works in|all APLs}} | ||
=== | ==== Method B ==== | ||
< | Alternatively, we can utilise that if the [[Index Of]] function <syntaxhighlight lang=apl inline>⍳</syntaxhighlight> doesn't find what it is looking for, it returns the next index after the last element in the the lookup array: | ||
' | <syntaxhighlight lang=apl> | ||
3 4 | 'ABBA'⍳'ABC' | ||
</ | 1 2 5 | ||
'()'⍳'plus(square(a),plus(square(b),times(2,plus(a,b)))' | |||
3 3 3 3 1 3 3 3 3 3 3 1 3 2 3 3 3 3 3 1 3 3 3 3 3 3 1 3 2 3 3 3 3 3 3 1 3 3 3 3 3 3 1 3 3 3 2 2 2 | |||
</syntaxhighlight> | |||
Whenever we have a 1 the parenthesis level increases, and when we have a 2 it decreases. If we have a 3, it remains as-is. We can do this mapping by indexing into these values: | |||
<syntaxhighlight lang=apl> | |||
1 ¯1 0['()'⍳'plus(square(a),plus(square(b),times(2,plus(a,b)))'] | |||
0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 ¯1 ¯1 ¯1 | |||
</syntaxhighlight> | |||
The running sum is what we're looking for: | |||
<syntaxhighlight lang=apl> | |||
+\1 ¯1 0['()'⍳'plus(square(a),plus(square(b),times(2,plus(a,b)))'] | |||
0 0 0 0 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 2 1 | |||
</syntaxhighlight> | |||
{{Works in|all APLs}} | |||
=== Grille cypher === | |||
A [[wikipedia:grille (cryptography)|grille]] is a 500 year old method for encrypting messages. | |||
[[File:Grille.png|none|500px|frameless|The application of a grille cypher]] | |||
<p> | |||
Represent both the grid of letters and the grille as character matrices. | |||
<syntaxhighlight lang=apl> | |||
⎕←(grid grille)←5 5∘⍴¨'VRYIALCLQIFKNEVPLARKMPLFF' '⌺⌺⌺ ⌺ ⌺⌺⌺ ⌺ ⌺ ⌺⌺⌺ ⌺⌺⌺ ⌺⌺' | |||
┌─────┬─────┐ | |||
│VRYIA│⌺⌺⌺ ⌺│ | |||
│LCLQI│ ⌺⌺⌺ │ | |||
│FKNEV│⌺ ⌺ ⌺│ | |||
│PLARK│⌺⌺ ⌺⌺│ | |||
│MPLFF│⌺ ⌺⌺│ | |||
└─────┴─────┘ | |||
</syntaxhighlight> | |||
</p> | |||
Retrieve elements of the grid where there are spaces in the grille. | |||
<syntaxhighlight lang=apl> | |||
grid[⍸grille=' '] | |||
ILIKEAPL | |||
</syntaxhighlight> | |||
An alternative method using [[ravel]]. | |||
<syntaxhighlight lang=apl> | |||
(' '=,grille)/,grid | |||
ILIKEAPL | |||
</syntaxhighlight> | |||
===References=== | |||
<references/> | |||
{{APL development}} | |||
[[Category:Examples]] |
Latest revision as of 01:32, 10 March 2024
This page contains examples that show APL's strengths. The examples require minimal background and have no special dependencies. If these examples are too simple for you, have a look at our advanced examples.
Arithmetic mean
Here is an APL program to calculate the average (arithmetic mean) of a list of numbers, written as a dfn:
{(+⌿⍵)÷≢⍵}
It is unnamed: the enclosing braces mark it as a function definition. It can be assigned a name for use later, or used anonymously in a more complex expression.
The ⍵
refers to the argument of the function, a list (or 1-dimensional array) of numbers. The ≢
denotes the tally function, which returns here the length of (number of elements in) the argument ⍵
. The divide symbol ÷
has its usual meaning.
The parenthesised +⌿⍵
denotes the sum of all the elements of ⍵
. The ⌿
operator combines with the +
function: the ⌿
fixes the +
function between each element of ⍵
, so that
+⌿ 1 2 3 4 5 6 21
is the same as
1+2+3+4+5+6 21
Operators
Operators like ⌿
can be used to derive new functions not only from primitive functions like +
, but also from defined functions. For example
{⍺,', ',⍵}⌿
will transform a list of strings representing words into a comma-separated list:
{⍺,', ',⍵}⌿'cow' 'sheep' 'cat' 'dog' ┌────────────────────┐ │cow, sheep, cat, dog│ └────────────────────┘
So back to our mean example. (+⌿⍵)
gives the sum of the list, which is then divided by ≢⍵
, the number elements in it.
{(+⌿⍵)÷≢⍵} 3 4.5 7 21 8.875
Tacit programming
- Main article: Tacit programming
In APL’s tacit definition, no braces are needed to mark the definition of a function: primitive functions just combine in a way that enables us to omit any reference to the function arguments — hence tacit. Here is the same calculation written tacitly:
(+⌿÷≢) 3 4.5 7 21 8.875
This is a so called 3-train, also known as a fork. It is evaluated like this:
(+⌿ ÷ ≢) 3 4.5 7 21 |
(+⌿ 3 4.5 7 21) ÷ (≢ 3 4.5 7 21) |
Note that +⌿
is evaluated as a single derived function.
The general scheme for monadic 3-trains is the following:
(f g h) ⍵ |
(f ⍵) g (h ⍵) |
But other types of trains are also possible.
Text processing
APL represents text as character lists (vectors), making many text operations trivial.
Split text by delimiter
≠
gives 1 for true and 0 for false. It pairs up a single element argument with all the elements of the other arguments:
','≠'comma,delimited,text' 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1
⊢
returns its right argument:
','⊢'comma,delimited,text' comma,delimited,text
⊆
returns a list of runs as indicated by runs of 1s, leaving out elements indicated by 0s:
1 1 0 1 1 1⊆'Hello!' ┌──┬───┐ │He│lo!│ └──┴───┘
We use the comparison vector to partition the right argument:
','(≠⊆⊢)'comma,delimited,text' ┌─────┬─────────┬────┐ │comma│delimited│text│ └─────┴─────────┴────┘
Notice that you can read the tacit function ≠⊆⊢
like an English sentence: The inequality partitions the right argument.
Many dialects do not support the above tacit syntax, and use the glyph ⊂
for partition primitive function. In such dialects, the following formulation can be used:
(','≠s)⊂s←'comma,delimited,text'
This assigns the text to the variable s
, then separately computes the partitioning vector and applies it.
Indices of multiple elements
∊
gives us a mask for elements (characters) in the left argument that are members of the right argument:
'mississippi'∊'sp' 0 0 1 1 0 1 1 0 1 1 0
⍸
gives us the indices where true (1):
⍸'mississippi'∊'sp' 3 4 6 7 9 10
We can combine this into an anonymous infix (dyadic) function:
'mississippi' (⍸∊) 'sp' 3 4 6 7 9 10
Frequency of characters in a string
The Outer Product allows for an intuitive way to compute the occurrence of characters at a given location in a string:
'abcd' ∘.= 'cabbage' 0 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Then it is simply a matter of performing a sum-reduce +/
to calculate the total frequency of each character:[1]
+/ 'abcd' ∘.= 'cabbage' 2 2 1 0
Parenthesis nesting level
"Ken was showing some slides — and one of his slides had something on it that I was later to learn was an APL one-liner. And he tossed this off as an example of the expressiveness of the APL notation. I believe the one-liner was one of the standard ones for indicating the nesting level of the parentheses in an algebraic expression. But the one-liner was very short — ten characters, something like that — and having been involved with programming things like that for a long time and realizing that it took a reasonable amount of code to do, I looked at it and said, “My God, there must be something in this language.”"
Alan Perlis. Almost Perfect Artifacts Improve only in Small Ways: APL is more French than English at APL78.
What was the one-liner for the nesting level of parentheses? It would take a bit of work to figure out, because at the time of the meeting Perlis described, no APL implementation existed. Two possibilities are explained here.
Method A
For this more complex computation, we can expand on the previous example's use of ∘.=
. First we compare all characters to the opening and closing characters;
'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1
An opening increases the current level, while a closing decreases, so we convert this to changes (or deltas) by subtracting the bottom row from the top row:
-⌿'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' 0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 ¯1 ¯1 ¯1
The running sum is what we're looking for:
+\-⌿'()'∘.='plus(square(a),plus(square(b),times(2,plus(a,b)))' 0 0 0 0 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 2 1
Method B
Alternatively, we can utilise that if the Index Of function ⍳
doesn't find what it is looking for, it returns the next index after the last element in the the lookup array:
'ABBA'⍳'ABC' 1 2 5 '()'⍳'plus(square(a),plus(square(b),times(2,plus(a,b)))' 3 3 3 3 1 3 3 3 3 3 3 1 3 2 3 3 3 3 3 1 3 3 3 3 3 3 1 3 2 3 3 3 3 3 3 1 3 3 3 3 3 3 1 3 3 3 2 2 2
Whenever we have a 1 the parenthesis level increases, and when we have a 2 it decreases. If we have a 3, it remains as-is. We can do this mapping by indexing into these values:
1 ¯1 0['()'⍳'plus(square(a),plus(square(b),times(2,plus(a,b)))'] 0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 ¯1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 ¯1 ¯1 ¯1
The running sum is what we're looking for:
+\1 ¯1 0['()'⍳'plus(square(a),plus(square(b),times(2,plus(a,b)))'] 0 0 0 0 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 2 1
Grille cypher
A grille is a 500 year old method for encrypting messages.
Represent both the grid of letters and the grille as character matrices.
⎕←(grid grille)←5 5∘⍴¨'VRYIALCLQIFKNEVPLARKMPLFF' '⌺⌺⌺ ⌺ ⌺⌺⌺ ⌺ ⌺ ⌺⌺⌺ ⌺⌺⌺ ⌺⌺' ┌─────┬─────┐ │VRYIA│⌺⌺⌺ ⌺│ │LCLQI│ ⌺⌺⌺ │ │FKNEV│⌺ ⌺ ⌺│ │PLARK│⌺⌺ ⌺⌺│ │MPLFF│⌺ ⌺⌺│ └─────┴─────┘
Retrieve elements of the grid where there are spaces in the grille.
grid[⍸grille=' '] ILIKEAPL
An alternative method using ravel.
(' '=,grille)/,grid ILIKEAPL
References
- ↑ Marshall Lochbaum used this example as part of his talk on Outer Product at LambdaConf 2019.
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