giles
5c70747ac7
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First baseline using Map.Make on a string-keyed map:
module StringOrd = struct
type t = string
let compare = String.compare
end
module SMap = Map.Make (StringOrd)
let count_words text =
let words = String.split_on_char ' ' text in
List.fold_left (fun m w ->
let n = match SMap.find_opt w m with
| Some n -> n
| None -> 0
in
SMap.add w (n + 1) m
) SMap.empty words
For 'the quick brown fox jumps over the lazy dog' ('the' appears
twice), SMap.cardinal -> 8.
Complements bag.ml (Hashtbl-based) and unique_set.ml (Set.Make)
with a sorted Map view of the same kind of counting problem. 35
baseline programs total.
40 lines
791 B
JSON
40 lines
791 B
JSON
{
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"anagrams.ml": 3,
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"bag.ml": 3,
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"balance.ml": 3,
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"bfs.ml": 6,
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"btree.ml": 39,
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"brainfuck.ml": 75,
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"caesar.ml": 215,
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"calc.ml": 13,
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"closures.ml": 315,
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"csv.ml": 10,
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"exception_handle.ml": 4,
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"expr_eval.ml": 16,
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"factorial.ml": 3628800,
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"fraction.ml": 7,
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"frequency.ml": 5,
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"fizzbuzz.ml": 57,
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"list_ops.ml": 30,
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"json_pretty.ml": 24,
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"lambda_calc.ml": 7,
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"levenshtein.ml": 11,
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"memo_fib.ml": 75025,
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"merge_sort.ml": 44,
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"module_use.ml": 3,
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"mutable_record.ml": 10,
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"option_match.ml": 5,
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"pi_leibniz.ml": 314,
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"poly_stack.ml": 5,
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"queens.ml": 2,
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"quicksort.ml": 44,
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"roman.ml": 44,
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"safe_div.ml": 20,
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"shuffle.ml": 55,
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"word_freq.ml": 8,
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"sieve.ml": 15,
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"sum_squares.ml": 385,
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"unique_set.ml": 9,
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"word_count.ml": 3
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}
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