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rose-ash/lib/ocaml/baseline/expected.json
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ocaml: phase 5.1 mortgage.ml baseline (monthly payment, 200k @ 5% / 30y = $1073)
Standard amortising-mortgage formula:

  payment = P * r * (1 + r)^n / ((1 + r)^n - 1)

where r = annual_rate / 12, n = years * 12.

  let payment principal annual_rate years =
    let r = annual_rate /. 12.0 in
    let n = years * 12 in
    let pow_r = ref 1.0 in
    for _ = 1 to n do pow_r := !pow_r *. (1.0 +. r) done;
    principal *. r *. !pow_r /. (!pow_r -. 1.0)

For 200,000 at 5% over 30 years: monthly payment ~= $1073.64,
int_of_float -> 1073.

Manual (1+r)^n via for-loop instead of Float.pow keeps the program
portable to any environment where pow is restricted.

Tests float arithmetic precedence, for-loop accumulation in a float
ref, int_of_float on the result.

70 baseline programs total — milestone.
2026-05-09 14:52:13 +00:00

75 lines
1.5 KiB
JSON

{
"ackermann.ml": 125,
"anagram_check.ml": 2,
"anagrams.ml": 3,
"atm.ml": 120,
"bag.ml": 3,
"bf_full.ml": 6,
"bisect.ml": 141,
"bigint_add.ml": 28,
"bits.ml": 21,
"balance.ml": 3,
"base_n.ml": 17,
"bfs.ml": 6,
"btree.ml": 39,
"brainfuck.ml": 75,
"bsearch.ml": 7,
"caesar.ml": 215,
"calc.ml": 13,
"closures.ml": 315,
"coin_change.ml": 6,
"csv.ml": 10,
"exception_handle.ml": 4,
"exception_user.ml": 26,
"expr_eval.ml": 16,
"expr_simp.ml": 22,
"factorial.ml": 3628800,
"fraction.ml": 7,
"frequency.ml": 5,
"gcd_lcm.ml": 60,
"grep_count.ml": 3,
"group_consec.ml": 53,
"hailstone.ml": 111,
"hanoi.ml": 1023,
"fizzbuzz.ml": 57,
"flatten_tree.ml": 28,
"list_ops.ml": 30,
"mat_mul.ml": 621,
"json_pretty.ml": 24,
"kadane.ml": 6,
"lambda_calc.ml": 7,
"levenshtein.ml": 11,
"memo_fib.ml": 75025,
"mortgage.ml": 1073,
"merge_sort.ml": 44,
"module_use.ml": 3,
"newton_sqrt.ml": 1414,
"mutable_record.ml": 10,
"option_match.ml": 5,
"palindrome.ml": 4,
"pascal.ml": 252,
"pi_leibniz.ml": 314,
"prefix_sum.ml": 66,
"pretty_table.ml": 64,
"poly_stack.ml": 5,
"prime_factors.ml": 17,
"queens.ml": 2,
"quicksort.ml": 44,
"roman.ml": 44,
"rpn.ml": 9,
"run_length.ml": 11,
"safe_div.ml": 20,
"shuffle.ml": 55,
"subset_sum.ml": 8,
"tic_tac_toe.ml": 1,
"word_freq.ml": 8,
"zigzag.ml": 55,
"zip_unzip.ml": 1000,
"sieve.ml": 15,
"sum_squares.ml": 385,
"twosum.ml": 5,
"unique_set.ml": 9,
"validate.ml": 417,
"word_count.ml": 3
}