Comb sort is a comparison-sort variant useful for understanding alternative ways to move misplaced values..
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 73 74 75 | from bisect import bisect_left # Comb Sort in Python # # PURPOSE # Comb sort is a comparison-sort variant useful for understanding alternative ways to move # misplaced values. # # METHOD # Compare gap-separated elements, shrink the gap by approximately 1.3, and finish with gap- # one passes until no swaps occur. # # COMPLEXITY # O(n squared) worst-case time and O(1) auxiliary space. Not stable. # # CONTRACT # Sorts ascending in place and returns 0. Intended for small collections; use a general- # purpose O(n log n) sort for large workloads. # 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. # Expected a after call: [1, 1, 3, 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 comb_sort(a: list[int]) -> int: alg_require(isinstance(a, list) and len(a) <= 1000000) n: int = len(a) alg_require(n >= 0 and n <= 1000000) alg_require(len(a) == n) gap: int = n changed: int = 1 i: int = 0 temp: int = 0 while gap > 1 or changed != 0: gap = max(1, gap * 10 // 13) changed = 0 i = 0 while i + gap < n: if a[i] > a[i + gap]: temp = a[i] a[i] = a[i + gap] a[i + gap] = temp changed = 1 i += 1 return 0 a = [4, 1, 3, 1] result = comb_sort(a) print(result) # Expected a: [1, 1, 3, 4] print(a) |