giles
5c587c0f61
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to_counts builds a 256-slot int array of character frequencies:
let to_counts s =
let counts = Array.make 256 0 in
for i = 0 to String.length s - 1 do
let c = Char.code s.[i] in
counts.(c) <- counts.(c) + 1
done;
counts
same_counts compares two arrays element-by-element via for loop +
bool ref. is_anagram composes them.
Four pairs:
listen ~ silent true
hello !~ world false
anagram ~ nagaram true
abc !~ abcd false (length differs)
sum 2
Exercises Array.make + arr.(i) + arr.(i) <- v + nested for loops +
Char.code + s.[i].
57 baseline programs total.
62 lines
1.2 KiB
JSON
62 lines
1.2 KiB
JSON
{
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"ackermann.ml": 125,
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"anagram_check.ml": 2,
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"anagrams.ml": 3,
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"bag.ml": 3,
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"bigint_add.ml": 28,
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"bits.ml": 21,
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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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"bsearch.ml": 7,
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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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"coin_change.ml": 6,
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"csv.ml": 10,
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"exception_handle.ml": 4,
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"exception_user.ml": 26,
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"expr_eval.ml": 16,
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"expr_simp.ml": 22,
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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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"gcd_lcm.ml": 60,
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"grep_count.ml": 3,
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"hanoi.ml": 1023,
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"fizzbuzz.ml": 57,
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"flatten_tree.ml": 28,
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"list_ops.ml": 30,
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"mat_mul.ml": 621,
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"json_pretty.ml": 24,
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"kadane.ml": 6,
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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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"newton_sqrt.ml": 1414,
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"mutable_record.ml": 10,
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"option_match.ml": 5,
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"palindrome.ml": 4,
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"pascal.ml": 252,
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"pi_leibniz.ml": 314,
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"pretty_table.ml": 64,
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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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"rpn.ml": 9,
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"run_length.ml": 11,
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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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"zip_unzip.ml": 1000,
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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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"validate.ml": 417,
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"word_count.ml": 3
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}
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