The expression n AND (n-1) clears the lowest set bit.
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 | from bisect import bisect_left # Brian Kernighan Population Count in Python # # PURPOSE # The expression n AND (n-1) clears the lowest set bit. Repeating it counts the ones in a # nonnegative integer without visiting zero bits individually. # # METHOD # Clear one set bit per iteration and increment the counter. The loop stops exactly when all # original set bits have been removed. # # COMPLEXITY # O(k) iterations for k set bits and O(1) auxiliary space under fixed-width arithmetic. # # CONTRACT # n must be nonnegative. Negative integers have different width/sign behavior between # languages and are excluded. # 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: 0. # 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 population_count(n: int) -> int: alg_require(type(n) is int and -2147483648 <= n <= 2147483647) alg_require(n >= 0) count: int = 0 while n != 0: n = n & n - 1 count += 1 return count n = 0 result = population_count(n) print(result) |