This algorithm counts unordered combinations of reusable denominations.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | from bisect import bisect_left # Coin Change Combination Count in Python # # PURPOSE # This algorithm counts unordered combinations of reusable denominations. Putting the coin # loop outside the amount loop prevents counting different orders as different combinations. # # METHOD # There is one way to make zero: choose no coins. Process each denomination once and update # amounts upward so that the same denomination can be reused. # # COMPLEXITY # O(m * amount) time and O(amount) auxiliary space; pseudo-polynomial. # # CONTRACT # Denominations are distinct positive integers, amount >= 0. Counts and array sizes must # fit. Duplicate denominations would overcount. # Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex # counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers. # Sorted order, correct tree topology, and caller-owned data-structure invariants are # preconditions; checking them on every query would change query complexity. # Scalar and shape checks are included. Value-range checks are included where needed to # prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000 # workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python # uses arbitrary precision. Native allocation failures propagate. In-place outputs may be # partly updated after arithmetic failure. These are single-threaded, in-memory # implementations. # # LANGUAGE DETAILS # Python 3.9+: automatic lengths, native lists, arbitrary-precision arithmetic, and # bisect_left for LIS. Invalid scalar/shape inputs raise ValueError. Integer element types # and sorted/tree invariants remain caller preconditions. # # EXAMPLE # Expected return: 4. # Run: python example.py # Tests for this exact source artifact run before publication. The accompanying source # archive includes unit cases, runtime results, and source hashes. def alg_require(condition): if not condition: raise ValueError("invalid algorithm input; see contract") def alg_size(n): alg_require(0 <= n <= 4000000) return n def coin_combinations(coins: list[int], amount: int) -> int: alg_require(isinstance(coins, (list, tuple)) and len(coins) <= 1000000) alg_require(type(amount) is int and -2147483648 <= amount <= 2147483647) m: int = len(coins) alg_require(m >= 0 and m <= 1000000) alg_require(len(coins) == m) alg_require(amount >= 0 and amount <= 1000000) for value in coins: alg_require(value > 0) dp: list[int] = [0] * alg_size(amount + 1) dp[0] = 1 j: int = 0 x: int = 0 while j < m: x = coins[j] while x <= amount: dp[x] += dp[x - coins[j]] x += 1 j += 1 return dp[amount] coins = [1, 2, 5] amount = 5 result = coin_combinations(coins, amount) print(result) |