The least common multiple is the smallest nonnegative common multiple.
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 | from bisect import bisect_left # Least Common Multiple in Python # # PURPOSE # The least common multiple is the smallest nonnegative common multiple. For positive inputs # it equals a divided by gcd(a,b), multiplied by b. # # METHOD # Handle zero first. Compute the gcd with Euclid, divide before multiplying to reduce # intermediate overflow, and return the product. # # COMPLEXITY # O(log(min(a,b))) arithmetic steps, O(1) auxiliary space. # # CONTRACT # Inputs are nonnegative. Returns 0 if either input is zero. The final product must fit the # integer range. # 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: 36. # 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 lcm(a: int, b: int) -> int: alg_require(type(a) is int and -2147483648 <= a <= 2147483647) alg_require(type(b) is int and -2147483648 <= b <= 2147483647) alg_require(a >= 0 and b >= 0) if a == 0 or b == 0: return 0 x: int = a y: int = b remainder: int = 0 while y != 0: remainder = x % y x = y y = remainder return a // x * b a = 12 b = 18 result = lcm(a, b) print(result) |