Personalized Array Translator: Difference between revisions

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== References ==
== References ==
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<references/>
{{APL dialects}}[[Category:IBM APL dialects]][[Category:Flat array languages]]
{{APL dialects}}[[Category:Flat array languages]][[Category:IBM APL dialects]]

Latest revision as of 22:42, 24 January 2024


The Personalized Array Translator (PAT) was an early experimental system create by Dr. Herbert Hellerman of the IBM System Research Institute. It was the first implementation of Iverson Notation as a programming language, preceding even IVSYS/7090. Ken Iverson used the PAT system in his early work with students in the local secondary school, and had a profound influence on Iverson's notation, as can be seen in his book Elementary Functions An Algorithmic Treatment.

In lieu of most proper APL glyphs, PAT used letters prefixed by the @ symbol. Comparison functions were denoted by @ followed by three digits 0 or 1, indicating whether the function would return 1 or 0 if the left argument would be less than, equal to, or greater than the right argument, respectively. The language only allowed application of one function per statement, with the result being assigned. Valid statements were:[1]

Name PAT statement Modern equivalent
Add Z = X + Y Z ← X + Y
Subtract Z = X - Y Z ← X - Y
Multiply Z = X * Y Z ← X × Y
Divide Z = X @D Y Z ← X ÷ Y
And Z = X @A Y Z ← X ∧ Y
Or Z = X @O Y Z ← X ∨ Y
Constant Zero Z = X @000 Y Z ← X(=≠=)Y
Greater than Z = X @001 Y Z ← X > Y
Equal Z = X @010 Y Z ← X = Y
Greater than or equal Z = X @011 Y Z ← X ≥ Y
Less than Z = X @100 Y Z ← X < Y
Not equal Z = X @101 Y Z ← X ≠ Y
Less than or equal Z = X @110 Y Z ← X ≤ Y
Constant One Z = X @111 Y Z ← X(===)Y
"Ceiling" (Maximum) Z = X @C Y Z ← X ⌈ Y
"Floor" (Minimum) Z = X @F Y Z ← X ⌊ Y
Exponential Z = X @E Y Z ← X * Y
Assignment Z = X Z ← X
Not Z = @N X Z ← ~ X
Absolute value Z = @A X Z ← | X
Sine Z = @S X Z ← 1 ○ X
Cosine Z = @C X Z ← 2 ○ X
Log (base 10) Z = @L X Z ← 10 ⍟ X
Round up Z = @U X Z ← ⌈ X
Round down Z = @D X Z ← ⌊ X
Matrix Transpose Z = @T X Z ← ⍉ X
Reduction* Z = @U X Z ← +/ X
Base Z = X @B Y Z ← X ⊥ Y
Residue Z = X @W Y Z ← X | Y
Compression Z = U / X Z ← U / X
Post Z with X controlled by U Z = U @P X
Dimension array @D X , C , R X ← R C ⍴ X or X ⍴⍨← R C
Juxtaposition Z = X , X Z ← X , X
Left rotate Z = K @L X Z ← K ⌽ X
Right rotate Z = K @R X Z ← (-K) ⌽ X
Compare and branch X @C Y, A, B, C
Update X, compare and branch @U X , Y , A , B , C
Interval Z = @I I , J Z ← I … J
Mid-selection array Z = @M I , J
Get data (cards) @G X
Type data @T X ⎕ ← X
Transform floating–alphanumeric Z = @X Y Z ← ⎕UCS Y or Z ← ⎕AF X
Accept data from typewriter @A X X ← ⍞
Type heading message and proceed @H any heading
Type message, return to monitor @M any message
  • Any scalar dyadic function may replace + in a reduction statement.

References

APL dialects [edit]
Maintained APL+WinAPL2APL64APL\ivApletteAprilCo-dfnsDyalog APLDyalog APL Visiondzaima/APLGNU APLKapNARS2000PometoTinyAPL
Historical A Programming LanguageA+ (A) ∙ APL#APL2CAPL\360APL/700APL\1130APL\3000APL.68000APL*PLUSAPL.jlAPL.SVAPLXExtended Dyalog APLIverson notationIVSYS/7090NARSngn/aplopenAPLOperators and FunctionsPATRowanSAXSHARP APLRationalized APLVisualAPL (APLNext) ∙ VS APLYork APL
Derivatives AHPLBQNCoSyELIGleeIIvyJJellyK (Goal, Klong, Q) ∙ KamilaLispLang5LilNialRADUiua
Overviews Comparison of APL dialectsTimeline of array languagesTimeline of influential array languagesFamily tree of array languages