haskell: Phase 11 conformance — wordfreq.hs (7/7) + mapgraph.hs (6/6), Phase 11 complete
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -20,7 +20,7 @@ if [ ! -x "$SX_SERVER" ]; then
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fi
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fi
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PROGRAMS=(fib sieve quicksort nqueens calculator collatz palindrome maybe fizzbuzz anagram roman binary either primes zipwith matrix wordcount powers caesar runlength-str showadt showio partial statistics newton)
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PROGRAMS=(fib sieve quicksort nqueens calculator collatz palindrome maybe fizzbuzz anagram roman binary either primes zipwith matrix wordcount powers caesar runlength-str showadt showio partial statistics newton wordfreq mapgraph)
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PASS_COUNTS=()
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FAIL_COUNTS=()
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@@ -1083,7 +1083,45 @@
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(hk-mk-lazy-builtin
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"Map.delete"
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(fn (k m) (hk-map-delete (hk-force k) (hk-force m)))
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2))))))
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2))
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(dict-set!
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env
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(str p "insertWith")
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(hk-mk-lazy-builtin
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"Map.insertWith"
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(fn
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(f k v m)
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(hk-map-insert-with
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(fn (a b) (hk-force (hk-apply (hk-apply f a) b)))
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(hk-force k)
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(hk-force v)
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(hk-force m)))
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4))
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(dict-set!
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env
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(str p "adjust")
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(hk-mk-lazy-builtin
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"Map.adjust"
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(fn
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(f k m)
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(hk-map-adjust
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(fn (v) (hk-force (hk-apply f v)))
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(hk-force k)
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(hk-force m)))
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3))
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(dict-set!
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env
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(str p "findWithDefault")
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(hk-mk-lazy-builtin
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"Map.findWithDefault"
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(fn
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(d k m)
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(let
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((res (hk-map-lookup (hk-force k) (hk-force m))))
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(cond
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((= (first res) "Just") (nth res 1))
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(:else (hk-force d)))))
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3))))))
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(define
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hk-bind-decls!
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46
lib/haskell/tests/program-mapgraph.sx
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46
lib/haskell/tests/program-mapgraph.sx
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@@ -0,0 +1,46 @@
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;; mapgraph.hs — adjacency-list using Data.Map (BFS-style traversal).
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;;
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;; Exercises Phase 11: `import qualified Data.Map as Map`, `Map.empty`,
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;; `Map.insert`, `Map.lookup`, `Map.findWithDefault`. Adjacency lists are
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;; stored as `Map Int [Int]`; `neighbors` does a default-empty lookup.
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(define
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hk-mapgraph-source
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"import qualified Data.Map as Map\n\nemptyG = Map.empty\n\naddEdge u v g = Map.insertWith add u [v] g\n where add new old = new ++ old\n\nbuild = addEdge 1 2 (addEdge 1 3 (addEdge 2 4 (addEdge 3 4 (addEdge 4 5 emptyG))))\n\nneighbors n g = Map.findWithDefault [] n g\n")
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(hk-test
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"mapgraph.hs — neighbors of 1"
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(hk-deep-force
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(hk-run (str hk-mapgraph-source "main = neighbors 1 build\n")))
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(list ":" 2 (list ":" 3 (list "[]"))))
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(hk-test
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"mapgraph.hs — neighbors of 4"
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(hk-deep-force
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(hk-run (str hk-mapgraph-source "main = neighbors 4 build\n")))
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(list ":" 5 (list "[]")))
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(hk-test
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"mapgraph.hs — neighbors of 5 (leaf, no entry) defaults to []"
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(hk-deep-force
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(hk-run (str hk-mapgraph-source "main = neighbors 5 build\n")))
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(list "[]"))
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(hk-test
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"mapgraph.hs — neighbors of 99 (absent) defaults to []"
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(hk-deep-force
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(hk-run (str hk-mapgraph-source "main = neighbors 99 build\n")))
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(list "[]"))
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(hk-test
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"mapgraph.hs — Map.member 1"
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(hk-deep-force
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(hk-run (str hk-mapgraph-source "main = Map.member 1 build\n")))
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(list "True"))
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(hk-test
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"mapgraph.hs — Map.size = 4 source nodes"
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(hk-deep-force (hk-run (str hk-mapgraph-source "main = Map.size build\n")))
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4)
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{:fails hk-test-fails :pass hk-test-pass :fail hk-test-fail}
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54
lib/haskell/tests/program-wordfreq.sx
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54
lib/haskell/tests/program-wordfreq.sx
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@@ -0,0 +1,54 @@
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;; wordfreq.hs — word-frequency histogram using Data.Map.
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;; Source: Rosetta Code "Word frequency" (Haskell entry, simplified).
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;;
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;; Exercises Phase 11: `import qualified Data.Map as Map`, `Map.empty`,
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;; `Map.insertWith`, `Map.lookup`, `Map.findWithDefault`, `foldl`.
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(define
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hk-wordfreq-source
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"import qualified Data.Map as Map\n\ncountWord m w = Map.insertWith (+) w 1 m\n\nwordFreq xs = foldl countWord Map.empty xs\n\nresult = wordFreq [\"the\", \"cat\", \"the\", \"dog\", \"the\", \"cat\"]\n")
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(hk-test
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"wordfreq.hs — \"the\" counted 3 times"
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(hk-deep-force
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(hk-run (str hk-wordfreq-source "main = Map.lookup \"the\" result\n")))
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(list "Just" 3))
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(hk-test
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"wordfreq.hs — \"cat\" counted 2 times"
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(hk-deep-force
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(hk-run (str hk-wordfreq-source "main = Map.lookup \"cat\" result\n")))
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(list "Just" 2))
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(hk-test
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"wordfreq.hs — \"dog\" counted 1 time"
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(hk-deep-force
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(hk-run (str hk-wordfreq-source "main = Map.lookup \"dog\" result\n")))
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(list "Just" 1))
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(hk-test
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"wordfreq.hs — \"missing\" not present"
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(hk-deep-force
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(hk-run (str hk-wordfreq-source "main = Map.lookup \"missing\" result\n")))
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(list "Nothing"))
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(hk-test
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"wordfreq.hs — Map.size = 3 unique words"
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(hk-deep-force (hk-run (str hk-wordfreq-source "main = Map.size result\n")))
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3)
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(hk-test
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"wordfreq.hs — findWithDefault for missing returns 0"
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(hk-deep-force
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(hk-run
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(str hk-wordfreq-source "main = Map.findWithDefault 0 \"absent\" result\n")))
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0)
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(hk-test
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"wordfreq.hs — findWithDefault for present returns count"
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(hk-deep-force
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(hk-run
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(str hk-wordfreq-source "main = Map.findWithDefault 0 \"the\" result\n")))
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3)
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{:fails hk-test-fails :pass hk-test-pass :fail hk-test-fail}
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@@ -196,7 +196,7 @@ No OCaml changes are needed. The view type is fully representable as an SX dict.
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order, unionWith/intersectionWith/difference, foldlWithKey/mapWithKey/
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filterWithKey, adjust/insertWith/alter, plus 4 end-to-end tests via
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`import qualified Data.Map as Map`.)
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- [ ] Conformance programs:
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- [x] Conformance programs:
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- `wordfreq.hs` — word-frequency histogram using `Data.Map`. Source from
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Rosetta Code "Word frequency" Haskell entry.
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- `mapgraph.hs` — adjacency-list BFS using `Data.Map`.
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@@ -307,6 +307,14 @@ No OCaml changes are needed. The view type is fully representable as an SX dict.
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_Newest first._
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**2026-05-07** — Phase 11 conformance: wordfreq.hs (7/7) + mapgraph.hs (6/6) → Phase 11 complete:
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- Extended `hk-bind-data-map!` with `Map.insertWith`, `Map.adjust`, and
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`Map.findWithDefault` so the conformance programs have what they need.
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- `program-wordfreq.sx`: word-frequency histogram, `foldl Map.insertWith Map.empty`.
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- `program-mapgraph.sx`: adjacency list, `Map.findWithDefault [] n g` for
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default-empty neighbors.
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- Both added to `PROGRAMS` in `conformance.sh`. Phase 11 fully complete.
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**2026-05-07** — Phase 11 unit tests `tests/map.sx` (26/26):
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- 22 SX-level direct calls (empty/singleton/insert/lookup/delete/member/
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fromList+duplicates/toAscList/elems/unionWith/intersectionWith/difference/
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