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Dyadic function: Difference between revisions
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:''For [[operator]]s with two operands, see [[Dyadic operator]].'' | :''For [[operator]]s with two operands, see [[Dyadic operator]]. For Dyadic Systems Ltd., see [[Dyalog Ltd.]]'' | ||
A '''dyadic function''' is a [[function]] with two [[argument]]s, one on the left and one on the right. It is one of three possible function [[valence]]s; the other two are [[monadic]] and [[niladic]]. The term '''infix function''' or infix operator is used outside of APL to describe APL's dyadic function syntax. | A '''dyadic function''' is a [[function]] with two [[argument]]s, one on the left and one on the right. It is one of three possible function [[valence]]s; the other two are [[monadic]] and [[niladic]]. The term '''infix function''' or infix operator is used outside of APL to describe APL's dyadic function syntax. | ||
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A sequence of dyadic functions is evaluated from right to left to increase the similarity to monadic function evaluation. The following example shows this evaluation: | A sequence of dyadic functions is evaluated from right to left to increase the similarity to monadic function evaluation. The following example shows this evaluation: | ||
< | <syntaxhighlight lang=apl> | ||
1 -⍨ 3 ↑ 4 | 1 -⍨ 3 ↑ 4 | ||
3 ¯1 ¯1 | 3 ¯1 ¯1 | ||
</ | </syntaxhighlight> | ||
Going from right to left, the first function to be evaluated is [[Take]] (< | Going from right to left, the first function to be evaluated is [[Take]] (<syntaxhighlight lang=apl inline>↑</syntaxhighlight>), a [[primitive function]], followed by the [[derived function]] <syntaxhighlight lang=apl inline>-⍨</syntaxhighlight> ([[Minus]] [[Commute]]). This sequence extends the [[scalar]] 4 to a [[vector]] <syntaxhighlight lang=apl inline>4 0 0</syntaxhighlight>, and then subtracts 1. | ||
Dyadic functions in APL are designed so that the right argument is primary and the left secondary. Often the right argument consists of data to be manipulated while the left controls how it is modified. For example, in [[Reshape]], the right argument contains data while the left contains a new [[shape]] for it—arguably metadata. This pattern is used because of APL's right-to-left evaluation. It improves control flow by making the left argument shorter more of the time. This reduces the need for parentheses and allows a reader to scan an expression from right to left all at once, without jumping back and forth. When a function does not fit this pattern (such a mismatch can happen with [[Squad]], in which either argument might be considered primary depending on context), the [[Commute]] operator can be used to change it so that it does. | Dyadic functions in APL are designed so that the right argument is primary and the left secondary. Often the right argument consists of data to be manipulated while the left controls how it is modified. For example, in [[Reshape]], the right argument contains data while the left contains a new [[shape]] for it—arguably metadata. This pattern is used because of APL's right-to-left evaluation. It improves control flow by making the left argument shorter more of the time. This reduces the need for parentheses and allows a reader to scan an expression from right to left all at once, without jumping back and forth. When a function does not fit this pattern (such a mismatch can happen with [[Squad]], in which either argument might be considered primary depending on context), the [[Commute]] operator can be used to change it so that it does. | ||
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* [http://wiki.nars2000.org/index.php/Dyadic NARS2000] | * [http://wiki.nars2000.org/index.php/Dyadic NARS2000] | ||
{{APL syntax}} | {{APL syntax}}[[Category:Kinds of functions]] | ||