apl: inner product f.g (+12 tests, 163/163)
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@@ -1016,3 +1016,45 @@
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(fn (y) (disclose (f (apl-scalar x) (apl-scalar y))))
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b-ravel))
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a-ravel))))))
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(define
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apl-inner
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(fn
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(f g a b)
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(let
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((a-shape (get a :shape))
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(b-shape (get b :shape))
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(a-ravel (get a :ravel))
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(b-ravel (get b :ravel)))
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(let
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((a-rank (len a-shape)) (b-rank (len b-shape)))
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(if
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(and (= a-rank 0) (= b-rank 0))
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(apl-scalar (disclose (g a b)))
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(let
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((inner-dim (last a-shape))
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(a-pre (take a-shape (- a-rank 1)))
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(b-post (rest b-shape)))
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(let
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((a-pre-size (reduce * 1 a-pre))
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(b-post-size (reduce * 1 b-post))
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(new-shape (append a-pre b-post)))
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(make-array
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new-shape
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(flatten
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(map
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(fn
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(i)
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(map
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(fn
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(j)
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(let
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((pairs (map (fn (k) (disclose (g (apl-scalar (nth a-ravel (+ (* i inner-dim) k))) (apl-scalar (nth b-ravel (+ (* k b-post-size) j)))))) (range 0 inner-dim))))
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(reduce
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(fn
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(x y)
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(disclose (f (apl-scalar x) (apl-scalar y))))
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(first pairs)
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(rest pairs))))
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(range 0 b-post-size)))
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(range 0 a-pre-size)))))))))))
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@@ -335,4 +335,124 @@
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apl-add
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(make-array (list 2 2) (list 1 2 3 4))
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(make-array (list 3) (list 10 20 30))))
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(list 11 21 31 12 22 32 13 23 33 14 24 34))
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(list 11 21 31 12 22 32 13 23 33 14 24 34))
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(apl-test
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"inner +.× dot product"
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(rv
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 3) (list 1 2 3))
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(make-array (list 3) (list 4 5 6))))
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(list 32))
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(apl-test
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"inner +.× dot product shape is scalar"
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(sh
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 3) (list 1 2 3))
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(make-array (list 3) (list 4 5 6))))
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(list))
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(apl-test
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"inner +.× matrix multiply 2x3 * 3x2 shape"
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(sh
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 2 3) (list 1 2 3 4 5 6))
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(make-array (list 3 2) (list 7 8 9 10 11 12))))
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(list 2 2))
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(apl-test
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"inner +.× matrix multiply 2x3 * 3x2 values"
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(rv
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 2 3) (list 1 2 3 4 5 6))
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(make-array (list 3 2) (list 7 8 9 10 11 12))))
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(list 58 64 139 154))
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(apl-test
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"inner +.× identity matrix 2x2"
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(rv
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 2 2) (list 1 0 0 1))
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(make-array (list 2 2) (list 5 6 7 8))))
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(list 5 6 7 8))
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(apl-test
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"inner ∧.= equal vectors"
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(rv
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(apl-inner
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apl-and
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apl-eq
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(make-array (list 3) (list 1 2 3))
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(make-array (list 3) (list 1 2 3))))
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(list 1))
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(apl-test
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"inner ∧.= unequal vectors"
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(rv
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(apl-inner
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apl-and
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apl-eq
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(make-array (list 3) (list 1 2 3))
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(make-array (list 3) (list 1 9 3))))
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(list 0))
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(apl-test
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"inner +.× matrix * vector shape"
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(sh
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 2 3) (list 1 2 3 4 5 6))
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(make-array (list 3) (list 7 8 9))))
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(list 2))
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(apl-test
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"inner +.× matrix * vector values"
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(rv
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 2 3) (list 1 2 3 4 5 6))
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(make-array (list 3) (list 7 8 9))))
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(list 50 122))
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(apl-test
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"inner +.× vector * matrix shape"
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(sh
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 3) (list 1 2 3))
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(make-array (list 3 2) (list 4 5 6 7 8 9))))
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(list 2))
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(apl-test
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"inner +.× vector * matrix values"
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(rv
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 3) (list 1 2 3))
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(make-array (list 3 2) (list 4 5 6 7 8 9))))
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(list 40 46))
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(apl-test
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"inner +.× single-element vectors"
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(rv
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(apl-inner
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apl-add
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apl-mul
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(make-array (list 1) (list 6))
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(make-array (list 1) (list 7))))
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(list 42))
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@@ -77,7 +77,7 @@ Core mapping:
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- [x] Scan `f\`, `f⍀`
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- [x] Each `f¨` — applies `f` to each scalar/element
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- [x] Outer product `∘.f` — `1 2 3 ∘.× 1 2 3` ↦ multiplication table
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- [ ] Inner product `f.g` — `+.×` is matrix multiply
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- [x] Inner product `f.g` — `+.×` is matrix multiply
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- [ ] Commute `f⍨` — `f⍨ x` ↔ `x f x`, `x f⍨ y` ↔ `y f x`
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- [ ] Compose `f∘g` — applies `g` first then `f`
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- [ ] Power `f⍣n` — apply f n times; `f⍣≡` until fixed point
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@@ -118,6 +118,7 @@ data; format for string templating.
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_Newest first._
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- 2026-05-06: Phase 4 step 5 — inner product f.g (apl-inner); +.× matrix multiply, ∧.= equal-vectors; 163/163 tests
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- 2026-05-06: Phase 4 step 4 — outer product ∘.f (apl-outer); rank-doubling result shape = a-shape++b-shape; 151/151 tests
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- 2026-05-06: Phase 4 step 3 — each f¨ (monadic apl-each + dyadic apl-each-dyadic); scalar broadcast both sides; 139/139 tests
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- 2026-05-06: Phase 4 step 2 — scan f\ (last axis) + f⍀ (first axis); apl-scan/apl-scan-first; 125/125 tests
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