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Miraheze>Adám Brudzewsky
(Created page with "{{Built-ins|Type|∊|⊤}} is a monadic function which in the nested array model gives information about the type and structure of its argument array's elements. I...")
 
Miraheze>Adám Brudzewsky
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However, in all dialects that support nested arrays, the type can be determined by enclosing/boxing the array in an empty array, and then coercing out a fill value. Since the [[array prototype]] is used as fill element, the resulting array will be the type of the original array:
However, in all dialects that support nested arrays, the type can be determined by enclosing/boxing the array in an empty array, and then coercing out a fill value. Since the [[array prototype]] is used as fill element, the resulting array will be the type of the original array:
<source lang=apl>
<source lang=apl>
       ⊃ 0 ⍴ ⊂ 1 2 'ab'
       ↑ 0 ⍴ ⊂ 1 2 'ab'
┌─┬─┬──┐
┌─┬─┬──┐
│0│0│  │
│0│0│  │
└─┴─┴──┘
└─┴─┴──┘
</source>
</source>
{{Works in|[[Dyalog APL]] with [[migration level]]<nowiki>=</nowiki>1}}
{{Works in|[[Dyalog APL]] with [[migration level]]≥2, [[APL2]], [[APLX]]}}
<source lang=apl>
<source lang=apl>
       ↑ 0 ⍴ ⊂ 1 2 'ab'
       ⊃ 0 ⍴ ⊂ 1 2 'ab'
┌─┬─┬──┐
┌─┬─┬──┐
│0│0│  │
│0│0│  │
└─┴─┴──┘
└─┴─┴──┘
</source>
</source>
{{Works in|[[Dyalog APL]] with [[migration level]]≥2, [[APL2]], [[APLX]]}}
{{Works in|[[Dyalog APL]] with [[migration level]]<nowiki>=</nowiki>1}}


{{APL built-ins}}
{{APL built-ins}}

Revision as of 16:00, 13 November 2019

∊ ⊤

Type (∊, ⊤) is a monadic function which in the nested array model gives information about the type and structure of its argument array's elements. In normal cases, the result is identical to the argument, with all numbers replaced by zeros and all characters replaced by spaces, and the substitution is done recursively.

Support

Few dialects have Type as a primitive function. Dyalog APL uses ∊ (as in prototypical element), but only when migration level is 0, while NARS2000 uses monadic ⊤ (resembling the Latin letter T for Type), which it inherited from NARS.

However, in all dialects that support nested arrays, the type can be determined by enclosing/boxing the array in an empty array, and then coercing out a fill value. Since the array prototype is used as fill element, the resulting array will be the type of the original array: 

      ↑ 0 ⍴ ⊂ 1 2 'ab'
┌─┬─┬──┐
│0│0│  │
└─┴─┴──┘
Works in: Dyalog APL with migration level≥2, APL2, APLX
      ⊃ 0 ⍴ ⊂ 1 2 'ab'
┌─┬─┬──┐
│0│0│  │
└─┴─┴──┘
Works in: Dyalog APL with migration level=1


APL built-ins [edit]
Primitives (Timeline) Functions
Scalar
Monadic Conjugate ∙ Negate ∙ Signum ∙ Reciprocal ∙ Magnitude ∙ Exponential ∙ Natural Logarithm ∙ Floor ∙ Ceiling ∙ Factorial ∙ Not ∙ Pi Times ∙ Roll ∙ Type ∙ Imaginary ∙ Square Root ∙ Round
Dyadic Add ∙ Subtract ∙ Times ∙ Divide ∙ Residue ∙ Power ∙ Logarithm ∙ Minimum ∙ Maximum ∙ Binomial ∙ Comparison functions ∙ Boolean functions (And, Or, Nand, Nor) ∙ GCD ∙ LCM ∙ Circular ∙ Complex ∙ Root
Non-Scalar
Structural Shape ∙ Reshape ∙ Tally ∙ Depth ∙ Ravel ∙ Enlist ∙ Table ∙ Catenate ∙ Reverse ∙ Rotate ∙ Transpose ∙ Raze ∙ Mix ∙ Split ∙ Enclose ∙ Nest ∙ Cut (K) ∙ Pair ∙ Link ∙ Partitioned Enclose ∙ Partition
Selection First ∙ Pick ∙ Take ∙ Drop ∙ Unique ∙ Identity ∙ Stop ∙ Select ∙ Replicate ∙ Expand ∙ Set functions (Intersection ∙ Union ∙ Without) ∙ Bracket indexing ∙ Index ∙ Cartesian Product ∙ Sort
Selector Index generator ∙ Grade ∙ Index Of ∙ Interval Index ∙ Indices ∙ Deal ∙ Prefix and suffix vectors
Computational Match ∙ Not Match ∙ Membership ∙ Find ∙ Nub Sieve ∙ Encode ∙ Decode ∙ Matrix Inverse ∙ Matrix Divide ∙ Format ∙ Execute ∙ Materialise ∙ Range
Operators Monadic Each ∙ Commute ∙ Constant ∙ Replicate ∙ Expand ∙ Reduce ∙ Windowed Reduce ∙ Scan ∙ Outer Product ∙ Key ∙ I-Beam ∙ Spawn ∙ Function axis ∙ Identity (Null, Ident)
Dyadic Bind ∙ Compositions (Compose, Reverse Compose, Beside, Withe, Atop, Over) ∙ Inner Product ∙ Determinant ∙ Power ∙ At ∙ Under ∙ Rank ∙ Depth ∙ Variant ∙ Stencil ∙ Cut ∙ Direct definition (operator) ∙ Identity (Lev, Dex)
Quad names Index origin ∙ Comparison tolerance ∙ Migration level ∙ Atomic vector
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