| // Written in the D programming language. | |
| /** | |
| This is a submodule of $(MREF std, algorithm). | |
| It contains generic sorting algorithms. | |
| $(SCRIPT inhibitQuickIndex = 1;) | |
| $(BOOKTABLE Cheat Sheet, | |
| $(TR $(TH Function Name) $(TH Description)) | |
| $(T2 completeSort, | |
| If `a = [10, 20, 30]` and `b = [40, 6, 15]`, then | |
| `completeSort(a, b)` leaves `a = [6, 10, 15]` and `b = [20, 30, 40]`. | |
| The range `a` must be sorted prior to the call, and as a result the | |
| combination `$(REF chain, std,range)(a, b)` is sorted.) | |
| $(T2 isPartitioned, | |
| `isPartitioned!"a < 0"([-1, -2, 1, 0, 2])` returns `true` because | |
| the predicate is `true` for a portion of the range and `false` | |
| afterwards.) | |
| $(T2 isSorted, | |
| `isSorted([1, 1, 2, 3])` returns `true`.) | |
| $(T2 isStrictlyMonotonic, | |
| `isStrictlyMonotonic([1, 1, 2, 3])` returns `false`.) | |
| $(T2 ordered, | |
| `ordered(1, 1, 2, 3)` returns `true`.) | |
| $(T2 strictlyOrdered, | |
| `strictlyOrdered(1, 1, 2, 3)` returns `false`.) | |
| $(T2 makeIndex, | |
| Creates a separate index for a range.) | |
| $(T2 merge, | |
| Lazily merges two or more sorted ranges.) | |
| $(T2 multiSort, | |
| Sorts by multiple keys.) | |
| $(T2 nextEvenPermutation, | |
| Computes the next lexicographically greater even permutation of a range | |
| in-place.) | |
| $(T2 nextPermutation, | |
| Computes the next lexicographically greater permutation of a range | |
| in-place.) | |
| $(T2 nthPermutation, | |
| Computes the nth permutation of a range | |
| in-place.) | |
| $(T2 partialSort, | |
| If `a = [5, 4, 3, 2, 1]`, then `partialSort(a, 3)` leaves | |
| `a[0 .. 3] = [1, 2, 3]`. | |
| The other elements of `a` are left in an unspecified order.) | |
| $(T2 partition, | |
| Partitions a range according to a unary predicate.) | |
| $(T2 partition3, | |
| Partitions a range according to a binary predicate in three parts (less | |
| than, equal, greater than the given pivot). Pivot is not given as an | |
| index, but instead as an element independent from the range's content.) | |
| $(T2 pivotPartition, | |
| Partitions a range according to a binary predicate in two parts: less | |
| than or equal, and greater than or equal to the given pivot, passed as | |
| an index in the range.) | |
| $(T2 schwartzSort, | |
| Sorts with the help of the $(LINK2 https://en.wikipedia.org/wiki/Schwartzian_transform, Schwartzian transform).) | |
| $(T2 sort, | |
| Sorts.) | |
| $(T2 topN, | |
| Separates the top elements in a range, akin to $(LINK2 https://en.wikipedia.org/wiki/Quickselect, Quickselect).) | |
| $(T2 topNCopy, | |
| Copies out the top elements of a range.) | |
| $(T2 topNIndex, | |
| Builds an index of the top elements of a range.) | |
| ) | |
| Copyright: Andrei Alexandrescu 2008-. | |
| License: $(HTTP boost.org/LICENSE_1_0.txt, Boost License 1.0). | |
| Authors: $(HTTP erdani.com, Andrei Alexandrescu) | |
| Source: $(PHOBOSSRC std/algorithm/sorting.d) | |
| Macros: | |
| T2=$(TR $(TDNW $(LREF $1)) $(TD $+)) | |
| */ | |
| module std.algorithm.sorting; | |
| import std.algorithm.mutation : SwapStrategy; | |
| import std.functional : unaryFun, binaryFun; | |
| import std.range.primitives; | |
| import std.typecons : Flag, No, Yes; | |
| import std.meta : allSatisfy; | |
| import std.range : SortedRange; | |
| import std.traits; | |
| /** | |
| Specifies whether the output of certain algorithm is desired in sorted | |
| format. | |
| If set to `SortOutput.no`, the output should not be sorted. | |
| Otherwise if set to `SortOutput.yes`, the output should be sorted. | |
| */ | |
| alias SortOutput = Flag!"sortOutput"; | |
| // completeSort | |
| /** | |
| Sorts the random-access range `chain(lhs, rhs)` according to | |
| predicate `less`. | |
| The left-hand side of the range `lhs` is assumed to be already sorted; | |
| `rhs` is assumed to be unsorted. | |
| The exact strategy chosen depends on the relative sizes of `lhs` and | |
| `rhs`. Performs $(BIGOH lhs.length + rhs.length * log(rhs.length)) | |
| (best case) to $(BIGOH (lhs.length + rhs.length) * log(lhs.length + | |
| rhs.length)) (worst-case) evaluations of $(REF_ALTTEXT swap, swap, std,algorithm,mutation). | |
| Params: | |
| less = The predicate to sort by. | |
| ss = The swapping strategy to use. | |
| lhs = The sorted, left-hand side of the random access range to be sorted. | |
| rhs = The unsorted, right-hand side of the random access range to be | |
| sorted. | |
| */ | |
| void completeSort(alias less = "a < b", SwapStrategy ss = SwapStrategy.unstable, | |
| Lhs , Rhs)(SortedRange!(Lhs, less) lhs, Rhs rhs) | |
| if (hasLength!(Rhs) && hasSlicing!(Rhs) | |
| && hasSwappableElements!Lhs && hasSwappableElements!Rhs) | |
| { | |
| import std.algorithm.mutation : bringToFront; | |
| import std.range : chain, assumeSorted; | |
| // Probably this algorithm can be optimized by using in-place | |
| // merge | |
| auto lhsOriginal = lhs.release(); | |
| foreach (i; 0 .. rhs.length) | |
| { | |
| auto sortedSoFar = chain(lhsOriginal, rhs[0 .. i]); | |
| auto ub = assumeSorted!less(sortedSoFar).upperBound(rhs[i]); | |
| if (!ub.length) continue; | |
| bringToFront(ub.release(), rhs[i .. i + 1]); | |
| } | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| import std.range : assumeSorted; | |
| int[] a = [ 1, 2, 3 ]; | |
| int[] b = [ 4, 0, 6, 5 ]; | |
| completeSort(assumeSorted(a), b); | |
| assert(a == [ 0, 1, 2 ]); | |
| assert(b == [ 3, 4, 5, 6 ]); | |
| } | |
| // isSorted | |
| /** | |
| Checks whether a $(REF_ALTTEXT forward range, isForwardRange, std,range,primitives) | |
| is sorted according to the comparison operation `less`. Performs $(BIGOH r.length) | |
| evaluations of `less`. | |
| Unlike `isSorted`, `isStrictlyMonotonic` does not allow for equal values, | |
| i.e. values for which both `less(a, b)` and `less(b, a)` are false. | |
| With either function, the predicate must be a strict ordering just like with | |
| `isSorted`. For example, using `"a <= b"` instead of `"a < b"` is | |
| incorrect and will cause failed assertions. | |
| Params: | |
| less = Predicate the range should be sorted by. | |
| r = Forward range to check for sortedness. | |
| Returns: | |
| `true` if the range is sorted, false otherwise. `isSorted` allows | |
| duplicates, `isStrictlyMonotonic` not. | |
| */ | |
| bool isSorted(alias less = "a < b", Range)(Range r) | |
| if (isForwardRange!(Range)) | |
| { | |
| if (r.empty) return true; | |
| static if (isRandomAccessRange!Range && hasLength!Range) | |
| { | |
| immutable limit = r.length - 1; | |
| foreach (i; 0 .. limit) | |
| { | |
| if (!binaryFun!less(r[i + 1], r[i])) continue; | |
| assert( | |
| !binaryFun!less(r[i], r[i + 1]), | |
| "Predicate for isSorted is not antisymmetric. Both" ~ | |
| " pred(a, b) and pred(b, a) are true for certain values."); | |
| return false; | |
| } | |
| } | |
| else | |
| { | |
| auto ahead = r.save; | |
| ahead.popFront(); | |
| size_t i; | |
| for (; !ahead.empty; ahead.popFront(), r.popFront(), ++i) | |
| { | |
| if (!binaryFun!less(ahead.front, r.front)) continue; | |
| // Check for antisymmetric predicate | |
| assert( | |
| !binaryFun!less(r.front, ahead.front), | |
| "Predicate for isSorted is not antisymmetric. Both" ~ | |
| " pred(a, b) and pred(b, a) are true for certain values."); | |
| return false; | |
| } | |
| } | |
| return true; | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| assert([1, 1, 2].isSorted); | |
| // strictly monotonic doesn't allow duplicates | |
| assert(![1, 1, 2].isStrictlyMonotonic); | |
| int[] arr = [4, 3, 2, 1]; | |
| assert(!isSorted(arr)); | |
| assert(!isStrictlyMonotonic(arr)); | |
| assert(isSorted!"a > b"(arr)); | |
| assert(isStrictlyMonotonic!"a > b"(arr)); | |
| sort(arr); | |
| assert(isSorted(arr)); | |
| assert(isStrictlyMonotonic(arr)); | |
| } | |
| @safe unittest | |
| { | |
| import std.conv : to; | |
| // https://issues.dlang.org/show_bug.cgi?id=9457 | |
| auto x = "abcd"; | |
| assert(isSorted(x)); | |
| auto y = "acbd"; | |
| assert(!isSorted(y)); | |
| int[] a = [1, 2, 3]; | |
| assert(isSorted(a)); | |
| int[] b = [1, 3, 2]; | |
| assert(!isSorted(b)); | |
| // ignores duplicates | |
| int[] c = [1, 1, 2]; | |
| assert(isSorted(c)); | |
| dchar[] ds = "コーヒーが好きです"d.dup; | |
| sort(ds); | |
| string s = to!string(ds); | |
| assert(isSorted(ds)); // random-access | |
| assert(isSorted(s)); // bidirectional | |
| } | |
| @nogc @safe nothrow pure unittest | |
| { | |
| static immutable a = [1, 2, 3]; | |
| assert(a.isSorted); | |
| } | |
| /// ditto | |
| bool isStrictlyMonotonic(alias less = "a < b", Range)(Range r) | |
| if (isForwardRange!Range) | |
| { | |
| import std.algorithm.searching : findAdjacent; | |
| return findAdjacent!((a,b) => !binaryFun!less(a,b))(r).empty; | |
| } | |
| @safe unittest | |
| { | |
| import std.conv : to; | |
| assert("abcd".isStrictlyMonotonic); | |
| assert(!"aacd".isStrictlyMonotonic); | |
| assert(!"acb".isStrictlyMonotonic); | |
| assert([1, 2, 3].isStrictlyMonotonic); | |
| assert(![1, 3, 2].isStrictlyMonotonic); | |
| assert(![1, 1, 2].isStrictlyMonotonic); | |
| // ー occurs twice -> can't be strict | |
| dchar[] ds = "コーヒーが好きです"d.dup; | |
| sort(ds); | |
| string s = to!string(ds); | |
| assert(!isStrictlyMonotonic(ds)); // random-access | |
| assert(!isStrictlyMonotonic(s)); // bidirectional | |
| dchar[] ds2 = "コーヒが好きです"d.dup; | |
| sort(ds2); | |
| string s2 = to!string(ds2); | |
| assert(isStrictlyMonotonic(ds2)); // random-access | |
| assert(isStrictlyMonotonic(s2)); // bidirectional | |
| } | |
| @nogc @safe nothrow pure unittest | |
| { | |
| static immutable a = [1, 2, 3]; | |
| assert(a.isStrictlyMonotonic); | |
| } | |
| /** | |
| Like `isSorted`, returns `true` if the given `values` are ordered | |
| according to the comparison operation `less`. Unlike `isSorted`, takes values | |
| directly instead of structured in a range. | |
| `ordered` allows repeated values, e.g. `ordered(1, 1, 2)` is `true`. To verify | |
| that the values are ordered strictly monotonically, use `strictlyOrdered`; | |
| `strictlyOrdered(1, 1, 2)` is `false`. | |
| With either function, the predicate must be a strict ordering. For example, | |
| using `"a <= b"` instead of `"a < b"` is incorrect and will cause failed | |
| assertions. | |
| Params: | |
| values = The tested value | |
| less = The comparison predicate | |
| Returns: | |
| `true` if the values are ordered; `ordered` allows for duplicates, | |
| `strictlyOrdered` does not. | |
| */ | |
| bool ordered(alias less = "a < b", T...)(T values) | |
| if ((T.length == 2 && is(typeof(binaryFun!less(values[1], values[0])) : bool)) | |
| || | |
| (T.length > 2 && is(typeof(ordered!less(values[0 .. 1 + $ / 2]))) | |
| && is(typeof(ordered!less(values[$ / 2 .. $])))) | |
| ) | |
| { | |
| foreach (i, _; T[0 .. $ - 1]) | |
| { | |
| if (binaryFun!less(values[i + 1], values[i])) | |
| { | |
| assert(!binaryFun!less(values[i], values[i + 1]), | |
| __FUNCTION__ ~ ": incorrect non-strict predicate."); | |
| return false; | |
| } | |
| } | |
| return true; | |
| } | |
| /// ditto | |
| bool strictlyOrdered(alias less = "a < b", T...)(T values) | |
| if (is(typeof(ordered!less(values)))) | |
| { | |
| foreach (i, _; T[0 .. $ - 1]) | |
| { | |
| if (!binaryFun!less(values[i], values[i + 1])) | |
| { | |
| return false; | |
| } | |
| assert(!binaryFun!less(values[i + 1], values[i]), | |
| __FUNCTION__ ~ ": incorrect non-strict predicate."); | |
| } | |
| return true; | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| assert(ordered(42, 42, 43)); | |
| assert(!strictlyOrdered(43, 42, 45)); | |
| assert(ordered(42, 42, 43)); | |
| assert(!strictlyOrdered(42, 42, 43)); | |
| assert(!ordered(43, 42, 45)); | |
| // Ordered lexicographically | |
| assert(ordered("Jane", "Jim", "Joe")); | |
| assert(strictlyOrdered("Jane", "Jim", "Joe")); | |
| // Incidentally also ordered by length decreasing | |
| assert(ordered!((a, b) => a.length > b.length)("Jane", "Jim", "Joe")); | |
| // ... but not strictly so: "Jim" and "Joe" have the same length | |
| assert(!strictlyOrdered!((a, b) => a.length > b.length)("Jane", "Jim", "Joe")); | |
| } | |
| // partition | |
| /** | |
| Partitions a range in two using the given `predicate`. | |
| Specifically, reorders the range `r = [left, right$(RPAREN)` using $(REF_ALTTEXT swap, swap, std,algorithm,mutation) | |
| such that all elements `i` for which `predicate(i)` is `true` come | |
| before all elements `j` for which `predicate(j)` returns `false`. | |
| Performs $(BIGOH r.length) (if unstable or semistable) or $(BIGOH | |
| r.length * log(r.length)) (if stable) evaluations of `less` and $(REF_ALTTEXT swap, swap, std,algorithm,mutation). | |
| The unstable version computes the minimum possible evaluations of `swap` | |
| (roughly half of those performed by the semistable version). | |
| Params: | |
| predicate = The predicate to partition by. | |
| ss = The swapping strategy to employ. | |
| r = The random-access range to partition. | |
| Returns: | |
| The right part of `r` after partitioning. | |
| If `ss == SwapStrategy.stable`, `partition` preserves the relative | |
| ordering of all elements `a`, `b` in `r` for which | |
| `predicate(a) == predicate(b)`. | |
| If `ss == SwapStrategy.semistable`, `partition` preserves | |
| the relative ordering of all elements `a`, `b` in the left part of `r` | |
| for which `predicate(a) == predicate(b)`. | |
| */ | |
| Range partition(alias predicate, SwapStrategy ss, Range)(Range r) | |
| if (ss == SwapStrategy.stable && isRandomAccessRange!(Range) && hasLength!Range && | |
| hasSlicing!Range && hasSwappableElements!Range) | |
| { | |
| import std.algorithm.mutation : bringToFront; | |
| alias pred = unaryFun!(predicate); | |
| if (r.empty) return r; | |
| if (r.length == 1) | |
| { | |
| if (pred(r.front)) r.popFront(); | |
| return r; | |
| } | |
| const middle = r.length / 2; | |
| alias recurse = .partition!(pred, ss, Range); | |
| auto lower = recurse(r[0 .. middle]); | |
| auto upper = recurse(r[middle .. r.length]); | |
| bringToFront(lower, r[middle .. r.length - upper.length]); | |
| return r[r.length - lower.length - upper.length .. r.length]; | |
| } | |
| ///ditto | |
| Range partition(alias predicate, SwapStrategy ss = SwapStrategy.unstable, Range)(Range r) | |
| if (ss != SwapStrategy.stable && isInputRange!Range && hasSwappableElements!Range) | |
| { | |
| import std.algorithm.mutation : swap; | |
| alias pred = unaryFun!(predicate); | |
| static if (ss == SwapStrategy.semistable) | |
| { | |
| if (r.empty) return r; | |
| for (; !r.empty; r.popFront()) | |
| { | |
| // skip the initial portion of "correct" elements | |
| if (pred(r.front)) continue; | |
| // hit the first "bad" element | |
| auto result = r; | |
| for (r.popFront(); !r.empty; r.popFront()) | |
| { | |
| if (!pred(r.front)) continue; | |
| swap(result.front, r.front); | |
| result.popFront(); | |
| } | |
| return result; | |
| } | |
| return r; | |
| } | |
| else | |
| { | |
| // Inspired from www.stepanovpapers.com/PAM3-partition_notes.pdf, | |
| // section "Bidirectional Partition Algorithm (Hoare)" | |
| static if (isDynamicArray!Range) | |
| { | |
| import std.algorithm.mutation : swapAt; | |
| // For dynamic arrays prefer index-based manipulation | |
| if (!r.length) return r; | |
| size_t lo = 0, hi = r.length - 1; | |
| for (;;) | |
| { | |
| for (;;) | |
| { | |
| if (lo > hi) return r[lo .. r.length]; | |
| if (!pred(r[lo])) break; | |
| ++lo; | |
| } | |
| // found the left bound | |
| assert(lo <= hi, "lo must be <= hi"); | |
| for (;;) | |
| { | |
| if (lo == hi) return r[lo .. r.length]; | |
| if (pred(r[hi])) break; | |
| --hi; | |
| } | |
| // found the right bound, swap & make progress | |
| r.swapAt(lo++, hi--); | |
| } | |
| } | |
| else | |
| { | |
| import std.algorithm.mutation : swap; | |
| auto result = r; | |
| for (;;) | |
| { | |
| for (;;) | |
| { | |
| if (r.empty) return result; | |
| if (!pred(r.front)) break; | |
| r.popFront(); | |
| result.popFront(); | |
| } | |
| // found the left bound | |
| assert(!r.empty, "r must not be empty"); | |
| for (;;) | |
| { | |
| if (pred(r.back)) break; | |
| r.popBack(); | |
| if (r.empty) return result; | |
| } | |
| // found the right bound, swap & make progress | |
| static if (is(typeof(swap(r.front, r.back)))) | |
| { | |
| swap(r.front, r.back); | |
| } | |
| else | |
| { | |
| auto t1 = r.moveFront(), t2 = r.moveBack(); | |
| r.front = t2; | |
| r.back = t1; | |
| } | |
| r.popFront(); | |
| result.popFront(); | |
| r.popBack(); | |
| } | |
| } | |
| } | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| import std.algorithm.mutation : SwapStrategy; | |
| import std.algorithm.searching : count, find; | |
| import std.conv : text; | |
| import std.range.primitives : empty; | |
| auto Arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; | |
| auto arr = Arr.dup; | |
| static bool even(int a) { return (a & 1) == 0; } | |
| // Partition arr such that even numbers come first | |
| auto r = partition!(even)(arr); | |
| // Now arr is separated in evens and odds. | |
| // Numbers may have become shuffled due to instability | |
| assert(r == arr[5 .. $]); | |
| assert(count!(even)(arr[0 .. 5]) == 5); | |
| assert(find!(even)(r).empty); | |
| // Can also specify the predicate as a string. | |
| // Use 'a' as the predicate argument name | |
| arr[] = Arr[]; | |
| r = partition!(q{(a & 1) == 0})(arr); | |
| assert(r == arr[5 .. $]); | |
| // Now for a stable partition: | |
| arr[] = Arr[]; | |
| r = partition!(q{(a & 1) == 0}, SwapStrategy.stable)(arr); | |
| // Now arr is [2 4 6 8 10 1 3 5 7 9], and r points to 1 | |
| assert(arr == [2, 4, 6, 8, 10, 1, 3, 5, 7, 9] && r == arr[5 .. $]); | |
| // In case the predicate needs to hold its own state, use a delegate: | |
| arr[] = Arr[]; | |
| int x = 3; | |
| // Put stuff greater than 3 on the left | |
| bool fun(int a) { return a > x; } | |
| r = partition!(fun, SwapStrategy.semistable)(arr); | |
| // Now arr is [4 5 6 7 8 9 10 2 3 1] and r points to 2 | |
| assert(arr == [4, 5, 6, 7, 8, 9, 10, 2, 3, 1] && r == arr[7 .. $]); | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.internal : rndstuff; | |
| static bool even(int a) { return (a & 1) == 0; } | |
| // test with random data | |
| auto a = rndstuff!int(); | |
| partition!even(a); | |
| assert(isPartitioned!even(a)); | |
| auto b = rndstuff!string(); | |
| partition!`a.length < 5`(b); | |
| assert(isPartitioned!`a.length < 5`(b)); | |
| } | |
| // pivotPartition | |
| /** | |
| Partitions `r` around `pivot` using comparison function `less`, algorithm akin | |
| to $(LINK2 https://en.wikipedia.org/wiki/Quicksort#Hoare_partition_scheme, | |
| Hoare partition). | |
| Specifically, permutes elements of `r` and returns | |
| an index `k < r.length` such that: | |
| $(UL | |
| $(LI `r[pivot]` is swapped to `r[k]`) | |
| $(LI All elements `e` in subrange `r[0 .. k]` satisfy `!less(r[k], e)` | |
| (i.e. `r[k]` is greater than or equal to each element to its left according to | |
| predicate `less`)) | |
| $(LI All elements `e` in subrange `r[k .. $]` satisfy `!less(e, r[k])` | |
| (i.e. `r[k]` is less than or equal to each element to its right | |
| according to predicate `less`))) | |
| If `r` contains equivalent elements, multiple permutations of `r` satisfy these | |
| constraints. In such cases, `pivotPartition` attempts to distribute equivalent | |
| elements fairly to the left and right of `k` such that `k` stays close to $(D | |
| r.length / 2). | |
| Params: | |
| less = The predicate used for comparison, modeled as a | |
| $(LINK2 https://en.wikipedia.org/wiki/Weak_ordering#Strict_weak_orderings, | |
| strict weak ordering) (irreflexive, antisymmetric, transitive, and implying a transitive | |
| equivalence) | |
| r = The range being partitioned | |
| pivot = The index of the pivot for partitioning, must be less than `r.length` or | |
| `0` if `r.length` is `0` | |
| Returns: | |
| The new position of the pivot | |
| See_Also: | |
| $(HTTP jgrcs.info/index.php/jgrcs/article/view/142, Engineering of a Quicksort | |
| Partitioning Algorithm), D. Abhyankar, Journal of Global Research in Computer | |
| Science, February 2011. $(HTTPS youtube.com/watch?v=AxnotgLql0k, ACCU 2016 | |
| Keynote), Andrei Alexandrescu. | |
| */ | |
| size_t pivotPartition(alias less = "a < b", Range) | |
| (Range r, size_t pivot) | |
| if (isRandomAccessRange!Range && hasLength!Range && hasSlicing!Range && hasAssignableElements!Range) | |
| { | |
| assert(pivot < r.length || r.length == 0 && pivot == 0, "pivot must be" | |
| ~ " less than the length of r or r must be empty and pivot zero"); | |
| if (r.length <= 1) return 0; | |
| import std.algorithm.mutation : swapAt, move; | |
| alias lt = binaryFun!less; | |
| // Pivot at the front | |
| r.swapAt(pivot, 0); | |
| // Fork implementation depending on nothrow copy, assignment, and | |
| // comparison. If all of these are nothrow, use the specialized | |
| // implementation discussed at https://youtube.com/watch?v=AxnotgLql0k. | |
| static if (is(typeof( | |
| () nothrow { auto x = r.front; x = r.front; return lt(x, x); } | |
| ))) | |
| { | |
| auto p = r[0]; | |
| // Plant the pivot in the end as well as a sentinel | |
| size_t lo = 0, hi = r.length - 1; | |
| auto save = r.moveAt(hi); | |
| r[hi] = p; // Vacancy is in r[$ - 1] now | |
| // Start process | |
| for (;;) | |
| { | |
| // Loop invariant | |
| version (StdUnittest) | |
| { | |
| // this used to import std.algorithm.all, but we want to save | |
| // imports when unittests are enabled if possible. | |
| foreach (x; r[0 .. lo]) | |
| assert(!lt(p, x), "p must not be less than x"); | |
| foreach (x; r[hi+1 .. r.length]) | |
| assert(!lt(x, p), "x must not be less than p"); | |
| } | |
| do ++lo; while (lt(r[lo], p)); | |
| r[hi] = r[lo]; | |
| // Vacancy is now in r[lo] | |
| do --hi; while (lt(p, r[hi])); | |
| if (lo >= hi) break; | |
| r[lo] = r[hi]; | |
| // Vacancy is not in r[hi] | |
| } | |
| // Fixup | |
| assert(lo - hi <= 2, "Following compare not possible"); | |
| assert(!lt(p, r[hi]), "r[hi] must not be less than p"); | |
| if (lo == hi + 2) | |
| { | |
| assert(!lt(r[hi + 1], p), "r[hi + 1] must not be less than p"); | |
| r[lo] = r[hi + 1]; | |
| --lo; | |
| } | |
| r[lo] = save; | |
| if (lt(p, save)) --lo; | |
| assert(!lt(p, r[lo]), "r[lo] must not be less than p"); | |
| } | |
| else | |
| { | |
| size_t lo = 1, hi = r.length - 1; | |
| loop: for (;; lo++, hi--) | |
| { | |
| for (;; ++lo) | |
| { | |
| if (lo > hi) break loop; | |
| if (!lt(r[lo], r[0])) break; | |
| } | |
| // found the left bound: r[lo] >= r[0] | |
| assert(lo <= hi, "lo must be less or equal than hi"); | |
| for (;; --hi) | |
| { | |
| if (lo >= hi) break loop; | |
| if (!lt(r[0], r[hi])) break; | |
| } | |
| // found the right bound: r[hi] <= r[0], swap & make progress | |
| assert(!lt(r[lo], r[hi]), "r[lo] must not be less than r[hi]"); | |
| r.swapAt(lo, hi); | |
| } | |
| --lo; | |
| } | |
| r.swapAt(lo, 0); | |
| return lo; | |
| } | |
| /// | |
| @safe nothrow unittest | |
| { | |
| int[] a = [5, 3, 2, 6, 4, 1, 3, 7]; | |
| size_t pivot = pivotPartition(a, a.length / 2); | |
| import std.algorithm.searching : all; | |
| assert(a[0 .. pivot].all!(x => x <= a[pivot])); | |
| assert(a[pivot .. $].all!(x => x >= a[pivot])); | |
| } | |
| @safe unittest | |
| { | |
| void test(alias less)() | |
| { | |
| int[] a; | |
| size_t pivot; | |
| a = [-9, -4, -2, -2, 9]; | |
| pivot = pivotPartition!less(a, a.length / 2); | |
| import std.algorithm.searching : all; | |
| assert(a[0 .. pivot].all!(x => x <= a[pivot])); | |
| assert(a[pivot .. $].all!(x => x >= a[pivot])); | |
| a = [9, 2, 8, -5, 5, 4, -8, -4, 9]; | |
| pivot = pivotPartition!less(a, a.length / 2); | |
| assert(a[0 .. pivot].all!(x => x <= a[pivot])); | |
| assert(a[pivot .. $].all!(x => x >= a[pivot])); | |
| a = [ 42 ]; | |
| pivot = pivotPartition!less(a, a.length / 2); | |
| assert(pivot == 0); | |
| assert(a == [ 42 ]); | |
| a = [ 43, 42 ]; | |
| pivot = pivotPartition!less(a, 0); | |
| assert(pivot == 1); | |
| assert(a == [ 42, 43 ]); | |
| a = [ 43, 42 ]; | |
| pivot = pivotPartition!less(a, 1); | |
| assert(pivot == 0); | |
| assert(a == [ 42, 43 ]); | |
| a = [ 42, 42 ]; | |
| pivot = pivotPartition!less(a, 0); | |
| assert(pivot == 0 || pivot == 1); | |
| assert(a == [ 42, 42 ]); | |
| pivot = pivotPartition!less(a, 1); | |
| assert(pivot == 0 || pivot == 1); | |
| assert(a == [ 42, 42 ]); | |
| import std.algorithm.iteration : map; | |
| import std.array : array; | |
| import std.format : format; | |
| import std.random : Random, uniform, Xorshift; | |
| import std.range : iota; | |
| auto s = 123_456_789; | |
| auto g = Xorshift(s); | |
| a = iota(0, uniform(1, 1000, g)) | |
| .map!(_ => uniform(-1000, 1000, g)) | |
| .array; | |
| pivot = pivotPartition!less(a, a.length / 2); | |
| assert(a[0 .. pivot].all!(x => x <= a[pivot]), "RNG seed: %d".format(s)); | |
| assert(a[pivot .. $].all!(x => x >= a[pivot]), "RNG seed: %d".format(s)); | |
| } | |
| test!"a < b"; | |
| static bool myLess(int a, int b) | |
| { | |
| static bool bogus; | |
| if (bogus) throw new Exception(""); // just to make it no-nothrow | |
| return a < b; | |
| } | |
| test!myLess; | |
| } | |
| /** | |
| Params: | |
| pred = The predicate that the range should be partitioned by. | |
| r = The range to check. | |
| Returns: `true` if `r` is partitioned according to predicate `pred`. | |
| */ | |
| bool isPartitioned(alias pred, Range)(Range r) | |
| if (isForwardRange!(Range)) | |
| { | |
| for (; !r.empty; r.popFront()) | |
| { | |
| if (unaryFun!(pred)(r.front)) continue; | |
| for (r.popFront(); !r.empty; r.popFront()) | |
| { | |
| if (unaryFun!(pred)(r.front)) return false; | |
| } | |
| break; | |
| } | |
| return true; | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| int[] r = [ 1, 3, 5, 7, 8, 2, 4, ]; | |
| assert(isPartitioned!"a & 1"(r)); | |
| } | |
| // partition3 | |
| /** | |
| Rearranges elements in `r` in three adjacent ranges and returns | |
| them. | |
| The first and leftmost range only contains elements in `r` | |
| less than `pivot`. The second and middle range only contains | |
| elements in `r` that are equal to `pivot`. Finally, the third | |
| and rightmost range only contains elements in `r` that are greater | |
| than `pivot`. The less-than test is defined by the binary function | |
| `less`. | |
| Params: | |
| less = The predicate to use for the rearrangement. | |
| ss = The swapping strategy to use. | |
| r = The random-access range to rearrange. | |
| pivot = The pivot element. | |
| Returns: | |
| A $(REF Tuple, std,typecons) of the three resulting ranges. These ranges are | |
| slices of the original range. | |
| BUGS: stable `partition3` has not been implemented yet. | |
| */ | |
| auto partition3(alias less = "a < b", SwapStrategy ss = SwapStrategy.unstable, Range, E) | |
| (Range r, E pivot) | |
| if (ss == SwapStrategy.unstable && isRandomAccessRange!Range | |
| && hasSwappableElements!Range && hasLength!Range && hasSlicing!Range | |
| && is(typeof(binaryFun!less(r.front, pivot)) == bool) | |
| && is(typeof(binaryFun!less(pivot, r.front)) == bool) | |
| && is(typeof(binaryFun!less(r.front, r.front)) == bool)) | |
| { | |
| // The algorithm is described in "Engineering a sort function" by | |
| // Jon Bentley et al, pp 1257. | |
| import std.algorithm.comparison : min; | |
| import std.algorithm.mutation : swap, swapAt, swapRanges; | |
| import std.typecons : tuple; | |
| alias lessFun = binaryFun!less; | |
| size_t i, j, k = r.length, l = k; | |
| bigloop: | |
| for (;;) | |
| { | |
| for (;; ++j) | |
| { | |
| if (j == k) break bigloop; | |
| assert(j < r.length, "j must be less than r.length"); | |
| if (lessFun(r[j], pivot)) continue; | |
| if (lessFun(pivot, r[j])) break; | |
| r.swapAt(i++, j); | |
| } | |
| assert(j < k, "j must be less than k"); | |
| for (;;) | |
| { | |
| assert(k > 0, "k must be positive"); | |
| if (!lessFun(pivot, r[--k])) | |
| { | |
| if (lessFun(r[k], pivot)) break; | |
| r.swapAt(k, --l); | |
| } | |
| if (j == k) break bigloop; | |
| } | |
| // Here we know r[j] > pivot && r[k] < pivot | |
| r.swapAt(j++, k); | |
| } | |
| // Swap the equal ranges from the extremes into the middle | |
| auto strictlyLess = j - i, strictlyGreater = l - k; | |
| auto swapLen = min(i, strictlyLess); | |
| swapRanges(r[0 .. swapLen], r[j - swapLen .. j]); | |
| swapLen = min(r.length - l, strictlyGreater); | |
| swapRanges(r[k .. k + swapLen], r[r.length - swapLen .. r.length]); | |
| return tuple(r[0 .. strictlyLess], | |
| r[strictlyLess .. r.length - strictlyGreater], | |
| r[r.length - strictlyGreater .. r.length]); | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| auto a = [ 8, 3, 4, 1, 4, 7, 4 ]; | |
| auto pieces = partition3(a, 4); | |
| assert(pieces[0] == [ 1, 3 ]); | |
| assert(pieces[1] == [ 4, 4, 4 ]); | |
| assert(pieces[2] == [ 8, 7 ]); | |
| } | |
| @safe unittest | |
| { | |
| import std.random : Random = Xorshift, uniform; | |
| immutable uint[] seeds = [3923355730, 1927035882]; | |
| foreach (s; seeds) | |
| { | |
| auto r = Random(s); | |
| auto a = new int[](uniform(0, 100, r)); | |
| foreach (ref e; a) | |
| { | |
| e = uniform(0, 50, r); | |
| } | |
| auto pieces = partition3(a, 25); | |
| assert(pieces[0].length + pieces[1].length + pieces[2].length == a.length); | |
| foreach (e; pieces[0]) | |
| { | |
| assert(e < 25); | |
| } | |
| foreach (e; pieces[1]) | |
| { | |
| assert(e == 25); | |
| } | |
| foreach (e; pieces[2]) | |
| { | |
| assert(e > 25); | |
| } | |
| } | |
| } | |
| // makeIndex | |
| /** | |
| Computes an index for `r` based on the comparison `less`. | |
| The index is a sorted array of pointers or indices into the original | |
| range. This technique is similar to sorting, but it is more flexible | |
| because (1) it allows "sorting" of immutable collections, (2) allows | |
| binary search even if the original collection does not offer random | |
| access, (3) allows multiple indexes, each on a different predicate, | |
| and (4) may be faster when dealing with large objects. However, using | |
| an index may also be slower under certain circumstances due to the | |
| extra indirection, and is always larger than a sorting-based solution | |
| because it needs space for the index in addition to the original | |
| collection. The complexity is the same as `sort`'s. | |
| The first overload of `makeIndex` writes to a range containing | |
| pointers, and the second writes to a range containing offsets. The | |
| first overload requires `Range` to be a | |
| $(REF_ALTTEXT forward range, isForwardRange, std,range,primitives), and the | |
| latter requires it to be a random-access range. | |
| `makeIndex` overwrites its second argument with the result, but | |
| never reallocates it. | |
| Params: | |
| less = The comparison to use. | |
| ss = The swapping strategy. | |
| r = The range to index. | |
| index = The resulting index. | |
| Returns: The pointer-based version returns a `SortedRange` wrapper | |
| over index, of type | |
| `SortedRange!(RangeIndex, (a, b) => binaryFun!less(*a, *b))` | |
| thus reflecting the ordering of the | |
| index. The index-based version returns `void` because the ordering | |
| relation involves not only `index` but also `r`. | |
| Throws: If the second argument's length is less than that of the range | |
| indexed, an exception is thrown. | |
| */ | |
| SortedRange!(RangeIndex, (a, b) => binaryFun!less(*a, *b)) | |
| makeIndex( | |
| alias less = "a < b", | |
| SwapStrategy ss = SwapStrategy.unstable, | |
| Range, | |
| RangeIndex) | |
| (Range r, RangeIndex index) | |
| if (isForwardRange!(Range) && isRandomAccessRange!(RangeIndex) | |
| && is(ElementType!(RangeIndex) : ElementType!(Range)*) && hasAssignableElements!RangeIndex) | |
| { | |
| import std.algorithm.internal : addressOf; | |
| import std.exception : enforce; | |
| // assume collection already ordered | |
| size_t i; | |
| for (; !r.empty; r.popFront(), ++i) | |
| index[i] = addressOf(r.front); | |
| enforce(index.length == i); | |
| // sort the index | |
| sort!((a, b) => binaryFun!less(*a, *b), ss)(index); | |
| return typeof(return)(index); | |
| } | |
| /// Ditto | |
| void makeIndex( | |
| alias less = "a < b", | |
| SwapStrategy ss = SwapStrategy.unstable, | |
| Range, | |
| RangeIndex) | |
| (Range r, RangeIndex index) | |
| if (isRandomAccessRange!Range && !isInfinite!Range && | |
| isRandomAccessRange!RangeIndex && !isInfinite!RangeIndex && | |
| isIntegral!(ElementType!RangeIndex) && hasAssignableElements!RangeIndex) | |
| { | |
| import std.conv : to; | |
| import std.exception : enforce; | |
| alias IndexType = Unqual!(ElementType!RangeIndex); | |
| enforce(r.length == index.length, | |
| "r and index must be same length for makeIndex."); | |
| static if (IndexType.sizeof < size_t.sizeof) | |
| { | |
| enforce(r.length <= size_t(1) + IndexType.max, "Cannot create an index with " ~ | |
| "element type " ~ IndexType.stringof ~ " with length " ~ | |
| to!string(r.length) ~ "."); | |
| } | |
| // Use size_t as loop index to avoid overflow on ++i, | |
| // e.g. when squeezing 256 elements into a ubyte index. | |
| foreach (size_t i; 0 .. r.length) | |
| index[i] = cast(IndexType) i; | |
| // sort the index | |
| sort!((a, b) => binaryFun!less(r[cast(size_t) a], r[cast(size_t) b]), ss) | |
| (index); | |
| } | |
| /// | |
| @system unittest | |
| { | |
| immutable(int[]) arr = [ 2, 3, 1, 5, 0 ]; | |
| // index using pointers | |
| auto index1 = new immutable(int)*[arr.length]; | |
| makeIndex!("a < b")(arr, index1); | |
| assert(isSorted!("*a < *b")(index1)); | |
| // index using offsets | |
| auto index2 = new size_t[arr.length]; | |
| makeIndex!("a < b")(arr, index2); | |
| assert(isSorted! | |
| ((size_t a, size_t b){ return arr[a] < arr[b];}) | |
| (index2)); | |
| } | |
| @system unittest | |
| { | |
| immutable(int)[] arr = [ 2, 3, 1, 5, 0 ]; | |
| // index using pointers | |
| auto index1 = new immutable(int)*[arr.length]; | |
| alias ImmRange = typeof(arr); | |
| alias ImmIndex = typeof(index1); | |
| static assert(isForwardRange!(ImmRange)); | |
| static assert(isRandomAccessRange!(ImmIndex)); | |
| static assert(!isIntegral!(ElementType!(ImmIndex))); | |
| static assert(is(ElementType!(ImmIndex) : ElementType!(ImmRange)*)); | |
| makeIndex!("a < b")(arr, index1); | |
| assert(isSorted!("*a < *b")(index1)); | |
| // index using offsets | |
| auto index2 = new long[arr.length]; | |
| makeIndex(arr, index2); | |
| assert(isSorted! | |
| ((long a, long b){ | |
| return arr[cast(size_t) a] < arr[cast(size_t) b]; | |
| })(index2)); | |
| // index strings using offsets | |
| string[] arr1 = ["I", "have", "no", "chocolate"]; | |
| auto index3 = new byte[arr1.length]; | |
| makeIndex(arr1, index3); | |
| assert(isSorted! | |
| ((byte a, byte b){ return arr1[a] < arr1[b];}) | |
| (index3)); | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.range : iota; | |
| ubyte[256] index = void; | |
| iota(256).makeIndex(index[]); | |
| assert(index[].equal(iota(256))); | |
| byte[128] sindex = void; | |
| iota(128).makeIndex(sindex[]); | |
| assert(sindex[].equal(iota(128))); | |
| auto index2 = new uint[10]; | |
| 10.iota.makeIndex(index2); | |
| assert(index2.equal(10.iota)); | |
| } | |
| struct Merge(alias less = "a < b", Rs...) | |
| if (Rs.length >= 2 && | |
| allSatisfy!(isInputRange, Rs) && | |
| !is(CommonType!(staticMap!(ElementType, Rs)) == void)) | |
| { | |
| public Rs source; | |
| private size_t _lastFrontIndex = size_t.max; | |
| static if (isBidirectional) | |
| { | |
| private size_t _lastBackIndex = size_t.max; // `size_t.max` means uninitialized, | |
| } | |
| import std.functional : binaryFun; | |
| import std.meta : anySatisfy; | |
| import std.traits : isCopyable; | |
| private alias comp = binaryFun!less; | |
| private alias ElementType = CommonType!(staticMap!(.ElementType, Rs)); | |
| private enum isBidirectional = allSatisfy!(isBidirectionalRange, staticMap!(Unqual, Rs)); | |
| debug private enum canCheckSortedness = isCopyable!ElementType && !hasAliasing!ElementType; | |
| this(Rs source) | |
| { | |
| this.source = source; | |
| this._lastFrontIndex = frontIndex; | |
| } | |
| static if (anySatisfy!(isInfinite, Rs)) | |
| { | |
| enum bool empty = false; // propagate infiniteness | |
| } | |
| else | |
| { | |
| @property bool empty() | |
| { | |
| return _lastFrontIndex == size_t.max; | |
| } | |
| } | |
| @property auto ref front() | |
| { | |
| final switch (_lastFrontIndex) | |
| { | |
| foreach (i, _; Rs) | |
| { | |
| case i: | |
| assert(!source[i].empty, "Can not get front of empty Merge"); | |
| return source[i].front; | |
| } | |
| } | |
| } | |
| private size_t frontIndex() | |
| { | |
| size_t bestIndex = size_t.max; // indicate undefined | |
| Unqual!ElementType bestElement; | |
| foreach (i, _; Rs) | |
| { | |
| if (source[i].empty) continue; | |
| if (bestIndex == size_t.max || // either this is the first or | |
| comp(source[i].front, bestElement)) | |
| { | |
| bestIndex = i; | |
| bestElement = source[i].front; | |
| } | |
| } | |
| return bestIndex; | |
| } | |
| void popFront() | |
| { | |
| sw: final switch (_lastFrontIndex) | |
| { | |
| foreach (i, R; Rs) | |
| { | |
| case i: | |
| debug static if (canCheckSortedness) | |
| { | |
| ElementType previousFront = source[i].front(); | |
| } | |
| source[i].popFront(); | |
| debug static if (canCheckSortedness) | |
| { | |
| if (!source[i].empty) | |
| { | |
| assert(!comp(source[i].front, previousFront), | |
| "Input " ~ i.stringof ~ " is unsorted"); // @nogc | |
| } | |
| } | |
| break sw; | |
| } | |
| } | |
| _lastFrontIndex = frontIndex; | |
| } | |
| static if (isBidirectional) | |
| { | |
| @property auto ref back() | |
| { | |
| if (_lastBackIndex == size_t.max) | |
| { | |
| this._lastBackIndex = backIndex; // lazy initialization | |
| } | |
| final switch (_lastBackIndex) | |
| { | |
| foreach (i, _; Rs) | |
| { | |
| case i: | |
| assert(!source[i].empty, "Can not get back of empty Merge"); | |
| return source[i].back; | |
| } | |
| } | |
| } | |
| private size_t backIndex() | |
| { | |
| size_t bestIndex = size_t.max; // indicate undefined | |
| Unqual!ElementType bestElement; | |
| foreach (i, _; Rs) | |
| { | |
| if (source[i].empty) continue; | |
| if (bestIndex == size_t.max || // either this is the first or | |
| comp(bestElement, source[i].back)) | |
| { | |
| bestIndex = i; | |
| bestElement = source[i].back; | |
| } | |
| } | |
| return bestIndex; | |
| } | |
| void popBack() | |
| { | |
| if (_lastBackIndex == size_t.max) | |
| { | |
| this._lastBackIndex = backIndex; // lazy initialization | |
| } | |
| sw: final switch (_lastBackIndex) | |
| { | |
| foreach (i, R; Rs) | |
| { | |
| case i: | |
| debug static if (canCheckSortedness) | |
| { | |
| ElementType previousBack = source[i].back(); | |
| } | |
| source[i].popBack(); | |
| debug static if (canCheckSortedness) | |
| { | |
| if (!source[i].empty) | |
| { | |
| assert(!comp(previousBack, source[i].back), | |
| "Input " ~ i.stringof ~ " is unsorted"); // @nogc | |
| } | |
| } | |
| break sw; | |
| } | |
| } | |
| _lastBackIndex = backIndex; | |
| if (_lastBackIndex == size_t.max) // if emptied | |
| { | |
| _lastFrontIndex = size_t.max; | |
| } | |
| } | |
| } | |
| static if (allSatisfy!(isForwardRange, staticMap!(Unqual, Rs))) | |
| { | |
| @property auto save() | |
| { | |
| auto result = this; | |
| foreach (i, _; Rs) | |
| { | |
| result.source[i] = result.source[i].save; | |
| } | |
| return result; | |
| } | |
| } | |
| static if (allSatisfy!(hasLength, Rs)) | |
| { | |
| @property size_t length() | |
| { | |
| size_t result; | |
| foreach (i, _; Rs) | |
| { | |
| result += source[i].length; | |
| } | |
| return result; | |
| } | |
| alias opDollar = length; | |
| } | |
| } | |
| /** | |
| Merge multiple sorted ranges `rs` with less-than predicate function `pred` | |
| into one single sorted output range containing the sorted union of the | |
| elements of inputs. | |
| Duplicates are not eliminated, meaning that the total | |
| number of elements in the output is the sum of all elements in the ranges | |
| passed to it; the `length` member is offered if all inputs also have | |
| `length`. The element types of all the inputs must have a common type | |
| `CommonType`. | |
| Params: | |
| less = Predicate the given ranges are sorted by. | |
| rs = The ranges to compute the union for. | |
| Returns: | |
| A range containing the union of the given ranges. | |
| Details: | |
| All of its inputs are assumed to be sorted. This can mean that inputs are | |
| instances of $(REF SortedRange, std,range). Use the result of $(REF sort, | |
| std,algorithm,sorting), or $(REF assumeSorted, std,range) to merge ranges | |
| known to be sorted (show in the example below). Note that there is currently | |
| no way of ensuring that two or more instances of $(REF SortedRange, | |
| std,range) are sorted using a specific comparison function `pred`. Therefore | |
| no checking is done here to assure that all inputs `rs` are instances of | |
| $(REF SortedRange, std,range). | |
| This algorithm is lazy, doing work progressively as elements are pulled off | |
| the result. | |
| Time complexity is proportional to the sum of element counts over all inputs. | |
| If all inputs have the same element type and offer it by `ref`, output | |
| becomes a range with mutable `front` (and `back` where appropriate) that | |
| reflects in the original inputs. | |
| If any of the inputs `rs` is infinite so is the result (`empty` being always | |
| `false`). | |
| See_Also: $(REF multiwayMerge, std,algorithm,setops) for an analogous function | |
| that merges a dynamic number of ranges. | |
| */ | |
| Merge!(less, Rs) merge(alias less = "a < b", Rs...)(Rs rs) | |
| if (Rs.length >= 2 && | |
| allSatisfy!(isInputRange, Rs) && | |
| !is(CommonType!(staticMap!(ElementType, Rs)) == void)) | |
| { | |
| return typeof(return)(rs); | |
| } | |
| /// | |
| @safe pure nothrow unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.range : retro; | |
| int[] a = [1, 3, 5]; | |
| int[] b = [2, 3, 4]; | |
| assert(a.merge(b).equal([1, 2, 3, 3, 4, 5])); | |
| assert(a.merge(b).retro.equal([5, 4, 3, 3, 2, 1])); | |
| } | |
| @safe pure nothrow unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| int[] a = [ 1, 2, 4, 5, 7, 9 ]; | |
| int[] b = [ 0, 1, 2, 4, 7, 8 ]; | |
| double[] c = [ 10.5 ]; | |
| assert(merge(a, b).length == a.length + b.length); | |
| assert(equal(merge(a, b), [0, 1, 1, 2, 2, 4, 4, 5, 7, 7, 8, 9][])); | |
| assert(equal(merge(a, c, b), | |
| [0, 1, 1, 2, 2, 4, 4, 5, 7, 7, 8, 9, 10.5][])); | |
| auto u = merge(a, b); | |
| u.front--; | |
| assert(equal(u, [-1, 1, 1, 2, 2, 4, 4, 5, 7, 7, 8, 9][])); | |
| } | |
| @safe pure nothrow unittest | |
| { | |
| // save | |
| import std.range : dropOne; | |
| int[] a = [1, 2]; | |
| int[] b = [0, 3]; | |
| auto arr = a.merge(b); | |
| assert(arr.front == 0); | |
| assert(arr.save.dropOne.front == 1); | |
| assert(arr.front == 0); | |
| } | |
| @safe pure nothrow unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.internal.test.dummyrange; | |
| auto dummyResult1 = [1, 1, 1.5, 2, 3, 4, 5, 5.5, 6, 7, 8, 9, 10]; | |
| auto dummyResult2 = [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, | |
| 6, 6, 7, 7, 8, 8, 9, 9, 10, 10]; | |
| foreach (DummyType; AllDummyRanges) | |
| { | |
| DummyType d; | |
| assert(d.merge([1, 1.5, 5.5]).equal(dummyResult1)); | |
| assert(d.merge(d).equal(dummyResult2)); | |
| } | |
| } | |
| @nogc @safe pure nothrow unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| static immutable a = [1, 3, 5]; | |
| static immutable b = [2, 3, 4]; | |
| static immutable r = [1, 2, 3, 3, 4, 5]; | |
| assert(a.merge(b).equal(r)); | |
| } | |
| /// test bi-directional access and common type | |
| @safe pure nothrow unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.range : retro; | |
| import std.traits : CommonType; | |
| alias S = short; | |
| alias I = int; | |
| alias D = double; | |
| S[] a = [1, 2, 3]; | |
| I[] b = [50, 60]; | |
| D[] c = [10, 20, 30, 40]; | |
| auto m = merge(a, b, c); | |
| static assert(is(typeof(m.front) == CommonType!(S, I, D))); | |
| assert(equal(m, [1, 2, 3, 10, 20, 30, 40, 50, 60])); | |
| assert(equal(m.retro, [60, 50, 40, 30, 20, 10, 3, 2, 1])); | |
| m.popFront(); | |
| assert(equal(m, [2, 3, 10, 20, 30, 40, 50, 60])); | |
| m.popBack(); | |
| assert(equal(m, [2, 3, 10, 20, 30, 40, 50])); | |
| m.popFront(); | |
| assert(equal(m, [3, 10, 20, 30, 40, 50])); | |
| m.popBack(); | |
| assert(equal(m, [3, 10, 20, 30, 40])); | |
| m.popFront(); | |
| assert(equal(m, [10, 20, 30, 40])); | |
| m.popBack(); | |
| assert(equal(m, [10, 20, 30])); | |
| m.popFront(); | |
| assert(equal(m, [20, 30])); | |
| m.popBack(); | |
| assert(equal(m, [20])); | |
| m.popFront(); | |
| assert(m.empty); | |
| } | |
| // Issue 21810: Check for sortedness must not use `==` | |
| @nogc @safe pure nothrow unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.typecons : tuple; | |
| static immutable a = [ | |
| tuple(1, 1), | |
| tuple(3, 1), | |
| tuple(3, 2), | |
| tuple(5, 1), | |
| ]; | |
| static immutable b = [ | |
| tuple(2, 1), | |
| tuple(3, 1), | |
| tuple(4, 1), | |
| tuple(4, 2), | |
| ]; | |
| static immutable r = [ | |
| tuple(1, 1), | |
| tuple(2, 1), | |
| tuple(3, 1), | |
| tuple(3, 2), | |
| tuple(3, 1), | |
| tuple(4, 1), | |
| tuple(4, 2), | |
| tuple(5, 1), | |
| ]; | |
| assert(merge!"a[0] < b[0]"(a, b).equal(r)); | |
| } | |
| private template validPredicates(E, less...) | |
| { | |
| static if (less.length == 0) | |
| enum validPredicates = true; | |
| else static if (less.length == 1 && is(typeof(less[0]) == SwapStrategy)) | |
| enum validPredicates = true; | |
| else | |
| enum validPredicates = | |
| is(typeof((E a, E b){ bool r = binaryFun!(less[0])(a, b); })) | |
| && validPredicates!(E, less[1 .. $]); | |
| } | |
| /** | |
| Sorts a range by multiple keys. | |
| The call $(D multiSort!("a.id < b.id", | |
| "a.date > b.date")(r)) sorts the range `r` by `id` ascending, | |
| and sorts elements that have the same `id` by `date` | |
| descending. Such a call is equivalent to $(D sort!"a.id != b.id ? a.id | |
| < b.id : a.date > b.date"(r)), but `multiSort` is faster because it | |
| does fewer comparisons (in addition to being more convenient). | |
| Returns: | |
| The initial range wrapped as a `SortedRange` with its predicates | |
| converted to an equivalent single predicate. | |
| */ | |
| template multiSort(less...) //if (less.length > 1) | |
| { | |
| auto multiSort(Range)(Range r) | |
| if (validPredicates!(ElementType!Range, less) && hasSwappableElements!Range) | |
| { | |
| import std.meta : AliasSeq; | |
| import std.range : assumeSorted; | |
| static if (is(typeof(less[$ - 1]) == SwapStrategy)) | |
| { | |
| enum ss = less[$ - 1]; | |
| alias funs = less[0 .. $ - 1]; | |
| } | |
| else | |
| { | |
| enum ss = SwapStrategy.unstable; | |
| alias funs = less; | |
| } | |
| static if (funs.length == 0) | |
| static assert(false, "No sorting predicate provided for multiSort"); | |
| else | |
| static if (funs.length == 1) | |
| return sort!(funs[0], ss, Range)(r); | |
| else | |
| { | |
| multiSortImpl!(Range, ss, funs)(r); | |
| return assumeSorted!(multiSortPredFun!(Range, funs))(r); | |
| } | |
| } | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| import std.algorithm.mutation : SwapStrategy; | |
| static struct Point { int x, y; } | |
| auto pts1 = [ Point(0, 0), Point(5, 5), Point(0, 1), Point(0, 2) ]; | |
| auto pts2 = [ Point(0, 0), Point(0, 1), Point(0, 2), Point(5, 5) ]; | |
| multiSort!("a.x < b.x", "a.y < b.y", SwapStrategy.unstable)(pts1); | |
| assert(pts1 == pts2); | |
| } | |
| private bool multiSortPredFun(Range, funs...)(ElementType!Range a, ElementType!Range b) | |
| { | |
| foreach (f; funs) | |
| { | |
| alias lessFun = binaryFun!(f); | |
| if (lessFun(a, b)) return true; | |
| if (lessFun(b, a)) return false; | |
| } | |
| return false; | |
| } | |
| private void multiSortImpl(Range, SwapStrategy ss, funs...)(Range r) | |
| { | |
| alias lessFun = binaryFun!(funs[0]); | |
| static if (funs.length > 1) | |
| { | |
| while (r.length > 1) | |
| { | |
| auto p = getPivot!lessFun(r); | |
| auto t = partition3!(funs[0], ss)(r, r[p]); | |
| if (t[0].length <= t[2].length) | |
| { | |
| multiSortImpl!(Range, ss, funs)(t[0]); | |
| multiSortImpl!(Range, ss, funs[1 .. $])(t[1]); | |
| r = t[2]; | |
| } | |
| else | |
| { | |
| multiSortImpl!(Range, ss, funs[1 .. $])(t[1]); | |
| multiSortImpl!(Range, ss, funs)(t[2]); | |
| r = t[0]; | |
| } | |
| } | |
| } | |
| else | |
| { | |
| sort!(lessFun, ss)(r); | |
| } | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.range; | |
| static struct Point { int x, y; } | |
| auto pts1 = [ Point(5, 6), Point(1, 0), Point(5, 7), Point(1, 1), Point(1, 2), Point(0, 1) ]; | |
| auto pts2 = [ Point(0, 1), Point(1, 0), Point(1, 1), Point(1, 2), Point(5, 6), Point(5, 7) ]; | |
| static assert(validPredicates!(Point, "a.x < b.x", "a.y < b.y")); | |
| multiSort!("a.x < b.x", "a.y < b.y", SwapStrategy.unstable)(pts1); | |
| assert(pts1 == pts2); | |
| auto pts3 = indexed(pts1, iota(pts1.length)); | |
| assert(pts3.multiSort!("a.x < b.x", "a.y < b.y", SwapStrategy.unstable).release.equal(pts2)); | |
| auto pts4 = iota(10).array; | |
| assert(pts4.multiSort!("a > b").release.equal(iota(10).retro)); | |
| } | |
| //https://issues.dlang.org/show_bug.cgi?id=9160 (L-value only comparators) | |
| @safe unittest | |
| { | |
| static struct A | |
| { | |
| int x; | |
| int y; | |
| } | |
| static bool byX(const ref A lhs, const ref A rhs) | |
| { | |
| return lhs.x < rhs.x; | |
| } | |
| static bool byY(const ref A lhs, const ref A rhs) | |
| { | |
| return lhs.y < rhs.y; | |
| } | |
| auto points = [ A(4, 1), A(2, 4)]; | |
| multiSort!(byX, byY)(points); | |
| assert(points[0] == A(2, 4)); | |
| assert(points[1] == A(4, 1)); | |
| } | |
| // cannot access frame of function | |
| // https://issues.dlang.org/show_bug.cgi?id=16179 | |
| @safe unittest | |
| { | |
| auto arr = [[1, 2], [2, 0], [1, 0], [1, 1]]; | |
| int c = 3; | |
| arr.multiSort!( | |
| (a, b) => a[0] < b[0], | |
| (a, b) => c*a[1] < c*b[1] | |
| ); | |
| assert(arr == [[1, 0], [1, 1], [1, 2], [2, 0]]); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=16413 - @system comparison function | |
| @system unittest | |
| { | |
| static @system bool lt(int a, int b) { return a < b; } | |
| auto a = [2, 1]; | |
| a.multiSort!(lt, lt); | |
| assert(a == [1, 2]); | |
| } | |
| private size_t getPivot(alias less, Range)(Range r) | |
| { | |
| auto mid = r.length / 2; | |
| if (r.length < 512) | |
| { | |
| if (r.length >= 32) | |
| medianOf!less(r, size_t(0), mid, r.length - 1); | |
| return mid; | |
| } | |
| // The plan here is to take the median of five by taking five elements in | |
| // the array, segregate around their median, and return the position of the | |
| // third. We choose first, mid, last, and two more in between those. | |
| auto quarter = r.length / 4; | |
| medianOf!less(r, | |
| size_t(0), mid - quarter, mid, mid + quarter, r.length - 1); | |
| return mid; | |
| } | |
| /* | |
| Sorting routine that is optimized for short ranges. Note: uses insertion sort | |
| going downward. Benchmarked a similar routine that goes upward, for some reason | |
| it's slower. | |
| */ | |
| private void shortSort(alias less, Range)(Range r) | |
| { | |
| import std.algorithm.mutation : swapAt; | |
| alias pred = binaryFun!(less); | |
| switch (r.length) | |
| { | |
| case 0: case 1: | |
| return; | |
| case 2: | |
| if (pred(r[1], r[0])) r.swapAt(0, 1); | |
| return; | |
| case 3: | |
| if (pred(r[2], r[0])) | |
| { | |
| if (pred(r[0], r[1])) | |
| { | |
| r.swapAt(0, 1); | |
| r.swapAt(0, 2); | |
| } | |
| else | |
| { | |
| r.swapAt(0, 2); | |
| if (pred(r[1], r[0])) r.swapAt(0, 1); | |
| } | |
| } | |
| else | |
| { | |
| if (pred(r[1], r[0])) | |
| { | |
| r.swapAt(0, 1); | |
| } | |
| else | |
| { | |
| if (pred(r[2], r[1])) r.swapAt(1, 2); | |
| } | |
| } | |
| return; | |
| case 4: | |
| if (pred(r[1], r[0])) r.swapAt(0, 1); | |
| if (pred(r[3], r[2])) r.swapAt(2, 3); | |
| if (pred(r[2], r[0])) r.swapAt(0, 2); | |
| if (pred(r[3], r[1])) r.swapAt(1, 3); | |
| if (pred(r[2], r[1])) r.swapAt(1, 2); | |
| return; | |
| default: | |
| sort5!pred(r[r.length - 5 .. r.length]); | |
| if (r.length == 5) return; | |
| break; | |
| } | |
| assert(r.length >= 6, "r must have more than 5 elements"); | |
| /* The last 5 elements of the range are sorted. Proceed with expanding the | |
| sorted portion downward. */ | |
| immutable maxJ = r.length - 2; | |
| for (size_t i = r.length - 6; ; --i) | |
| { | |
| static if (is(typeof(() nothrow | |
| { | |
| auto t = r[0]; if (pred(t, r[0])) r[0] = r[0]; | |
| }))) // Can we afford to temporarily invalidate the array? | |
| { | |
| import core.lifetime : move; | |
| size_t j = i + 1; | |
| static if (hasLvalueElements!Range) | |
| auto temp = move(r[i]); | |
| else | |
| auto temp = r[i]; | |
| if (pred(r[j], temp)) | |
| { | |
| do | |
| { | |
| static if (hasLvalueElements!Range) | |
| trustedMoveEmplace(r[j], r[j - 1]); | |
| else | |
| r[j - 1] = r[j]; | |
| ++j; | |
| } | |
| while (j < r.length && pred(r[j], temp)); | |
| static if (hasLvalueElements!Range) | |
| trustedMoveEmplace(temp, r[j - 1]); | |
| else | |
| r[j - 1] = move(temp); | |
| } | |
| } | |
| else | |
| { | |
| size_t j = i; | |
| while (pred(r[j + 1], r[j])) | |
| { | |
| r.swapAt(j, j + 1); | |
| if (j == maxJ) break; | |
| ++j; | |
| } | |
| } | |
| if (i == 0) break; | |
| } | |
| } | |
| /// @trusted wrapper for moveEmplace | |
| private void trustedMoveEmplace(T)(ref T source, ref T target) @trusted | |
| { | |
| import core.lifetime : moveEmplace; | |
| moveEmplace(source, target); | |
| } | |
| @safe unittest | |
| { | |
| import std.random : Random = Xorshift, uniform; | |
| auto rnd = Random(1); | |
| auto a = new int[uniform(100, 200, rnd)]; | |
| foreach (ref e; a) | |
| { | |
| e = uniform(-100, 100, rnd); | |
| } | |
| shortSort!(binaryFun!("a < b"), int[])(a); | |
| assert(isSorted(a)); | |
| } | |
| /* | |
| Sorts the first 5 elements exactly of range r. | |
| */ | |
| private void sort5(alias lt, Range)(Range r) | |
| { | |
| assert(r.length >= 5, "r must have more than 4 elements"); | |
| import std.algorithm.mutation : swapAt; | |
| // 1. Sort first two pairs | |
| if (lt(r[1], r[0])) r.swapAt(0, 1); | |
| if (lt(r[3], r[2])) r.swapAt(2, 3); | |
| // 2. Arrange first two pairs by the largest element | |
| if (lt(r[3], r[1])) | |
| { | |
| r.swapAt(0, 2); | |
| r.swapAt(1, 3); | |
| } | |
| assert(!lt(r[1], r[0]) && !lt(r[3], r[1]) && !lt(r[3], r[2]), "unexpected" | |
| ~ " order"); | |
| // 3. Insert 4 into [0, 1, 3] | |
| if (lt(r[4], r[1])) | |
| { | |
| r.swapAt(3, 4); | |
| r.swapAt(1, 3); | |
| if (lt(r[1], r[0])) | |
| { | |
| r.swapAt(0, 1); | |
| } | |
| } | |
| else if (lt(r[4], r[3])) | |
| { | |
| r.swapAt(3, 4); | |
| } | |
| assert(!lt(r[1], r[0]) && !lt(r[3], r[1]) && !lt(r[4], r[3]), "unexpected" | |
| ~ " order"); | |
| // 4. Insert 2 into [0, 1, 3, 4] (note: we already know the last is greater) | |
| assert(!lt(r[4], r[2]), "unexpected order"); | |
| if (lt(r[2], r[1])) | |
| { | |
| r.swapAt(1, 2); | |
| if (lt(r[1], r[0])) | |
| { | |
| r.swapAt(0, 1); | |
| } | |
| } | |
| else if (lt(r[3], r[2])) | |
| { | |
| r.swapAt(2, 3); | |
| } | |
| // 7 comparisons, 0-9 swaps | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.iteration : permutations; | |
| import std.algorithm.mutation : copy; | |
| import std.range : iota; | |
| int[5] buf; | |
| foreach (per; iota(5).permutations) | |
| { | |
| per.copy(buf[]); | |
| sort5!((a, b) => a < b)(buf[]); | |
| assert(buf[].isSorted); | |
| } | |
| } | |
| // sort | |
| /** | |
| Sorts a random-access range according to the predicate `less`. | |
| Performs $(BIGOH r.length * log(r.length)) evaluations of `less`. If `less` involves | |
| expensive computations on the _sort key, it may be worthwhile to use | |
| $(LREF schwartzSort) instead. | |
| Stable sorting requires `hasAssignableElements!Range` to be true. | |
| `sort` returns a $(REF SortedRange, std,range) over the original range, | |
| allowing functions that can take advantage of sorted data to know that the | |
| range is sorted and adjust accordingly. The $(REF SortedRange, std,range) is a | |
| wrapper around the original range, so both it and the original range are sorted. | |
| Other functions can't know that the original range has been sorted, but | |
| they $(I can) know that $(REF SortedRange, std,range) has been sorted. | |
| Preconditions: | |
| The predicate is expected to satisfy certain rules in order for `sort` to | |
| behave as expected - otherwise, the program may fail on certain inputs (but not | |
| others) when not compiled in release mode, due to the cursory `assumeSorted` | |
| check. Specifically, `sort` expects `less(a,b) && less(b,c)` to imply | |
| `less(a,c)` (transitivity), and, conversely, `!less(a,b) && !less(b,c)` to | |
| imply `!less(a,c)`. Note that the default predicate (`"a < b"`) does not | |
| always satisfy these conditions for floating point types, because the expression | |
| will always be `false` when either `a` or `b` is NaN. | |
| Use $(REF cmp, std,math) instead. | |
| Params: | |
| less = The predicate to sort by. | |
| ss = The swapping strategy to use. | |
| r = The range to sort. | |
| Returns: The initial range wrapped as a `SortedRange` with the predicate | |
| `binaryFun!less`. | |
| Algorithms: $(HTTP en.wikipedia.org/wiki/Introsort, Introsort) is used for unstable sorting and | |
| $(HTTP en.wikipedia.org/wiki/Timsort, Timsort) is used for stable sorting. | |
| Each algorithm has benefits beyond stability. Introsort is generally faster but | |
| Timsort may achieve greater speeds on data with low entropy or if predicate calls | |
| are expensive. Introsort performs no allocations whereas Timsort will perform one | |
| or more allocations per call. Both algorithms have $(BIGOH n log n) worst-case | |
| time complexity. | |
| See_Also: | |
| $(REF assumeSorted, std,range)$(BR) | |
| $(REF SortedRange, std,range)$(BR) | |
| $(REF SwapStrategy, std,algorithm,mutation)$(BR) | |
| $(REF binaryFun, std,functional) | |
| */ | |
| SortedRange!(Range, less) | |
| sort(alias less = "a < b", SwapStrategy ss = SwapStrategy.unstable, Range) | |
| (Range r) | |
| /+ Unstable sorting uses the quicksort algorithm, which uses swapAt, | |
| which either uses swap(...), requiring swappable elements, or just | |
| swaps using assignment. | |
| Stable sorting uses TimSort, which needs to copy elements into a buffer, | |
| requiring assignable elements. +/ | |
| { | |
| import std.range : assumeSorted; | |
| static if (ss == SwapStrategy.unstable) | |
| { | |
| static assert(hasSwappableElements!Range || hasAssignableElements!Range, | |
| "When using SwapStrategy.unstable, the passed Range '" | |
| ~ Range.stringof ~ "' must" | |
| ~ " either fulfill hasSwappableElements, or" | |
| ~ " hasAssignableElements, both were not the case"); | |
| } | |
| else | |
| { | |
| static assert(hasAssignableElements!Range, "When using a SwapStrategy" | |
| ~ " != unstable, the" | |
| ~ " passed Range '" ~ Range.stringof ~ "' must fulfill" | |
| ~ " hasAssignableElements, which it did not"); | |
| } | |
| static assert(isRandomAccessRange!Range, "The passed Range '" | |
| ~ Range.stringof ~ "' must be a Random AccessRange " | |
| ~ "(isRandomAccessRange)"); | |
| static assert(hasSlicing!Range, "The passed Range '" | |
| ~ Range.stringof ~ "' must allow Slicing (hasSlicing)"); | |
| static assert(hasLength!Range, "The passed Range '" | |
| ~ Range.stringof ~ "' must have a length (hasLength)"); | |
| alias lessFun = binaryFun!(less); | |
| alias LessRet = typeof(lessFun(r.front, r.front)); // instantiate lessFun | |
| static assert(is(LessRet == bool), "The return type of the template" | |
| ~ " argument 'less' when used with the binaryFun!less template" | |
| ~ " must be a bool. This is not the case, the returned type is '" | |
| ~ LessRet.stringof ~ "'"); | |
| static if (ss == SwapStrategy.unstable) | |
| quickSortImpl!(lessFun)(r, r.length); | |
| else //use Tim Sort for semistable & stable | |
| TimSortImpl!(lessFun, Range).sort(r, null); | |
| assert(isSorted!lessFun(r), "Failed to sort range of type " ~ Range.stringof); | |
| return assumeSorted!less(r); | |
| } | |
| /// | |
| @safe pure nothrow unittest | |
| { | |
| int[] array = [ 1, 2, 3, 4 ]; | |
| // sort in descending order | |
| array.sort!("a > b"); | |
| assert(array == [ 4, 3, 2, 1 ]); | |
| // sort in ascending order | |
| array.sort(); | |
| assert(array == [ 1, 2, 3, 4 ]); | |
| // sort with reusable comparator and chain | |
| alias myComp = (x, y) => x > y; | |
| assert(array.sort!(myComp).release == [ 4, 3, 2, 1 ]); | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| // Showcase stable sorting | |
| import std.algorithm.mutation : SwapStrategy; | |
| string[] words = [ "aBc", "a", "abc", "b", "ABC", "c" ]; | |
| sort!("toUpper(a) < toUpper(b)", SwapStrategy.stable)(words); | |
| assert(words == [ "a", "aBc", "abc", "ABC", "b", "c" ]); | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| // Sorting floating-point numbers in presence of NaN | |
| double[] numbers = [-0.0, 3.0, -2.0, double.nan, 0.0, -double.nan]; | |
| import std.algorithm.comparison : equal; | |
| import std.math.operations : cmp; | |
| import std.math.traits : isIdentical; | |
| sort!((a, b) => cmp(a, b) < 0)(numbers); | |
| double[] sorted = [-double.nan, -2.0, -0.0, 0.0, 3.0, double.nan]; | |
| assert(numbers.equal!isIdentical(sorted)); | |
| } | |
| @safe unittest | |
| { | |
| // Simple regression benchmark | |
| import std.algorithm.iteration, std.algorithm.mutation; | |
| import std.array : array; | |
| import std.random : Random, uniform; | |
| import std.range : iota; | |
| Random rng; | |
| int[] a = iota(20148).map!(_ => uniform(-1000, 1000, rng)).array; | |
| static uint comps; | |
| static bool less(int a, int b) { ++comps; return a < b; } | |
| sort!less(a); // random numbers | |
| sort!less(a); // sorted ascending | |
| a.reverse(); | |
| sort!less(a); // sorted descending | |
| a[] = 0; | |
| sort!less(a); // all equal | |
| // This should get smaller with time. On occasion it may go larger, but only | |
| // if there's thorough justification. | |
| debug enum uint watermark = 1676220; | |
| else enum uint watermark = 1676220; | |
| import std.conv; | |
| assert(comps <= watermark, text("You seem to have pessimized sort! ", | |
| watermark, " < ", comps)); | |
| assert(comps >= watermark, text("You seem to have improved sort!", | |
| " Please update watermark from ", watermark, " to ", comps)); | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.internal : rndstuff; | |
| import std.algorithm.mutation : swapRanges; | |
| import std.random : Random = Xorshift, uniform; | |
| import std.uni : toUpper; | |
| // sort using delegate | |
| auto a = new int[100]; | |
| auto rnd = Random(123_456_789); | |
| foreach (ref e; a) | |
| { | |
| e = uniform(-100, 100, rnd); | |
| } | |
| int i = 0; | |
| bool greater2(int a, int b) @safe { return a + i > b + i; } | |
| auto greater = &greater2; | |
| sort!(greater)(a); | |
| assert(isSorted!(greater)(a)); | |
| // sort using string | |
| sort!("a < b")(a); | |
| assert(isSorted!("a < b")(a)); | |
| // sort using function; all elements equal | |
| foreach (ref e; a) | |
| { | |
| e = 5; | |
| } | |
| static bool less(int a, int b) { return a < b; } | |
| sort!(less)(a); | |
| assert(isSorted!(less)(a)); | |
| string[] words = [ "aBc", "a", "abc", "b", "ABC", "c" ]; | |
| bool lessi(string a, string b) { return toUpper(a) < toUpper(b); } | |
| sort!(lessi, SwapStrategy.stable)(words); | |
| assert(words == [ "a", "aBc", "abc", "ABC", "b", "c" ]); | |
| // sort using ternary predicate | |
| //sort!("b - a")(a); | |
| //assert(isSorted!(less)(a)); | |
| a = rndstuff!(int)(); | |
| sort(a); | |
| assert(isSorted(a)); | |
| auto b = rndstuff!(string)(); | |
| sort!("toLower(a) < toLower(b)")(b); | |
| assert(isSorted!("toUpper(a) < toUpper(b)")(b)); | |
| { | |
| // https://issues.dlang.org/show_bug.cgi?id=10317 | |
| enum E_10317 { a, b } | |
| auto a_10317 = new E_10317[10]; | |
| sort(a_10317); | |
| } | |
| { | |
| // https://issues.dlang.org/show_bug.cgi?id=7767 | |
| // Unstable sort should complete without an excessive number of predicate calls | |
| // This would suggest it's running in quadratic time | |
| // Compilation error if predicate is not static, i.e. a nested function | |
| static uint comp; | |
| static bool pred(size_t a, size_t b) | |
| { | |
| ++comp; | |
| return a < b; | |
| } | |
| size_t[] arr; | |
| arr.length = 1024; | |
| foreach (k; 0 .. arr.length) arr[k] = k; | |
| swapRanges(arr[0..$/2], arr[$/2..$]); | |
| sort!(pred, SwapStrategy.unstable)(arr); | |
| assert(comp < 25_000); | |
| } | |
| { | |
| import std.algorithm.mutation : swap; | |
| bool proxySwapCalled; | |
| struct S | |
| { | |
| int i; | |
| alias i this; | |
| void proxySwap(ref S other) { swap(i, other.i); proxySwapCalled = true; } | |
| @disable void opAssign(S value); | |
| } | |
| alias R = S[]; | |
| R r = [S(3), S(2), S(1)]; | |
| static assert(hasSwappableElements!R); | |
| static assert(!hasAssignableElements!R); | |
| r.sort(); | |
| assert(proxySwapCalled); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=20751 | |
| { | |
| static bool refPred(ref int a, ref int b) | |
| { | |
| return a < b; | |
| } | |
| auto sortedArr = [5,4,3,2,1].sort!refPred; | |
| sortedArr.equalRange(3); | |
| } | |
| } | |
| private void quickSortImpl(alias less, Range)(Range r, size_t depth) | |
| { | |
| import std.algorithm.comparison : min, max; | |
| import std.algorithm.mutation : swap, swapAt; | |
| alias Elem = ElementType!(Range); | |
| enum int size = Elem.sizeof; | |
| enum size_t shortSortGetsBetter = max(32, 1024 / size); | |
| static assert(shortSortGetsBetter >= 1, Elem.stringof ~ " " | |
| ~ size.stringof); | |
| // partition | |
| while (r.length > shortSortGetsBetter) | |
| { | |
| if (depth == 0) | |
| { | |
| HeapOps!(less, Range).heapSort(r); | |
| return; | |
| } | |
| depth = depth >= depth.max / 2 ? (depth / 3) * 2 : (depth * 2) / 3; | |
| const pivotIdx = getPivot!(less)(r); | |
| auto pivot = r[pivotIdx]; | |
| // partition | |
| r.swapAt(pivotIdx, r.length - 1); | |
| size_t lessI = size_t.max, greaterI = r.length - 1; | |
| outer: for (;;) | |
| { | |
| alias pred = binaryFun!less; | |
| while (pred(r[++lessI], pivot)) {} | |
| assert(lessI <= greaterI, "sort: invalid comparison function."); | |
| for (;;) | |
| { | |
| if (greaterI == lessI) break outer; | |
| if (!pred(pivot, r[--greaterI])) break; | |
| } | |
| assert(lessI <= greaterI, "sort: invalid comparison function."); | |
| if (lessI == greaterI) break; | |
| r.swapAt(lessI, greaterI); | |
| } | |
| r.swapAt(r.length - 1, lessI); | |
| auto left = r[0 .. lessI], right = r[lessI + 1 .. r.length]; | |
| if (right.length > left.length) | |
| { | |
| swap(left, right); | |
| } | |
| .quickSortImpl!(less, Range)(right, depth); | |
| r = left; | |
| } | |
| // residual sort | |
| static if (shortSortGetsBetter > 1) | |
| { | |
| shortSort!(less, Range)(r); | |
| } | |
| } | |
| // Heap operations for random-access ranges | |
| package(std) template HeapOps(alias less, Range) | |
| { | |
| import std.algorithm.mutation : swapAt; | |
| static assert(isRandomAccessRange!Range, Range.stringof ~ " must be a" | |
| ~ " RandomAccessRange"); | |
| static assert(hasLength!Range, Range.stringof ~ " must have length"); | |
| static assert(hasSwappableElements!Range || hasAssignableElements!Range, | |
| Range.stringof ~ " must have swappable or assignable Elements"); | |
| alias lessFun = binaryFun!less; | |
| //template because of https://issues.dlang.org/show_bug.cgi?id=12410 | |
| void heapSort()(Range r) | |
| { | |
| // If true, there is nothing to do | |
| if (r.length < 2) return; | |
| // Build Heap | |
| buildHeap(r); | |
| // Sort | |
| for (size_t i = r.length - 1; i > 0; --i) | |
| { | |
| r.swapAt(0, i); | |
| percolate(r, 0, i); | |
| } | |
| } | |
| //template because of https://issues.dlang.org/show_bug.cgi?id=12410 | |
| void buildHeap()(Range r) | |
| { | |
| immutable n = r.length; | |
| for (size_t i = n / 2; i-- > 0; ) | |
| { | |
| siftDown(r, i, n); | |
| } | |
| assert(isHeap(r), "r is not a heap"); | |
| } | |
| bool isHeap()(Range r) | |
| { | |
| size_t parent = 0; | |
| foreach (child; 1 .. r.length) | |
| { | |
| if (lessFun(r[parent], r[child])) return false; | |
| // Increment parent every other pass | |
| parent += !(child & 1); | |
| } | |
| return true; | |
| } | |
| // Sifts down r[parent] (which is initially assumed to be messed up) so the | |
| // heap property is restored for r[parent .. end]. | |
| // template because of https://issues.dlang.org/show_bug.cgi?id=12410 | |
| void siftDown()(Range r, size_t parent, immutable size_t end) | |
| { | |
| for (;;) | |
| { | |
| auto child = (parent + 1) * 2; | |
| if (child >= end) | |
| { | |
| // Leftover left child? | |
| if (child == end && lessFun(r[parent], r[--child])) | |
| r.swapAt(parent, child); | |
| break; | |
| } | |
| auto leftChild = child - 1; | |
| if (lessFun(r[child], r[leftChild])) child = leftChild; | |
| if (!lessFun(r[parent], r[child])) break; | |
| r.swapAt(parent, child); | |
| parent = child; | |
| } | |
| } | |
| // Alternate version of siftDown that performs fewer comparisons, see | |
| // https://en.wikipedia.org/wiki/Heapsort#Bottom-up_heapsort. The percolate | |
| // process first sifts the parent all the way down (without comparing it | |
| // against the leaves), and then a bit up until the heap property is | |
| // restored. So there are more swaps but fewer comparisons. Gains are made | |
| // when the final position is likely to end toward the bottom of the heap, | |
| // so not a lot of sifts back are performed. | |
| //template because of https://issues.dlang.org/show_bug.cgi?id=12410 | |
| void percolate()(Range r, size_t parent, immutable size_t end) | |
| { | |
| immutable root = parent; | |
| // Sift down | |
| for (;;) | |
| { | |
| auto child = (parent + 1) * 2; | |
| if (child >= end) | |
| { | |
| if (child == end) | |
| { | |
| // Leftover left node. | |
| --child; | |
| r.swapAt(parent, child); | |
| parent = child; | |
| } | |
| break; | |
| } | |
| auto leftChild = child - 1; | |
| if (lessFun(r[child], r[leftChild])) child = leftChild; | |
| r.swapAt(parent, child); | |
| parent = child; | |
| } | |
| // Sift up | |
| for (auto child = parent; child > root; child = parent) | |
| { | |
| parent = (child - 1) / 2; | |
| if (!lessFun(r[parent], r[child])) break; | |
| r.swapAt(parent, child); | |
| } | |
| } | |
| } | |
| // Tim Sort implementation | |
| private template TimSortImpl(alias pred, R) | |
| { | |
| import core.bitop : bsr; | |
| import std.array : uninitializedArray; | |
| static assert(isRandomAccessRange!R, R.stringof ~ " must be a" | |
| ~ " RandomAccessRange"); | |
| static assert(hasLength!R, R.stringof ~ " must have a length"); | |
| static assert(hasSlicing!R, R.stringof ~ " must support slicing"); | |
| static assert(hasAssignableElements!R, R.stringof ~ " must have" | |
| ~ " assignable elements"); | |
| alias T = ElementType!R; | |
| alias less = binaryFun!pred; | |
| bool greater()(auto ref T a, auto ref T b) { return less(b, a); } | |
| bool greaterEqual()(auto ref T a, auto ref T b) { return !less(a, b); } | |
| bool lessEqual()(auto ref T a, auto ref T b) { return !less(b, a); } | |
| enum minimalMerge = 128; | |
| enum minimalGallop = 7; | |
| enum minimalStorage = 256; | |
| enum stackSize = 40; | |
| struct Slice{ size_t base, length; } | |
| // Entry point for tim sort | |
| void sort()(R range, T[] temp) | |
| { | |
| import std.algorithm.comparison : min; | |
| import std.format : format; | |
| // Do insertion sort on small range | |
| if (range.length <= minimalMerge) | |
| { | |
| binaryInsertionSort(range); | |
| return; | |
| } | |
| immutable minRun = minRunLength(range.length); | |
| immutable minTemp = min(range.length / 2, minimalStorage); | |
| size_t minGallop = minimalGallop; | |
| Slice[stackSize] stack = void; | |
| size_t stackLen = 0; | |
| // Allocate temporary memory if not provided by user | |
| if (temp.length < minTemp) | |
| { | |
| static if (hasElaborateAssign!T) temp = new T[](minTemp); | |
| else temp = () @trusted { return uninitializedArray!(T[])(minTemp); }(); | |
| } | |
| for (size_t i = 0; i < range.length; ) | |
| { | |
| // Find length of first run in list | |
| size_t runLen = firstRun(range[i .. range.length]); | |
| // If run has less than minRun elements, extend using insertion sort | |
| if (runLen < minRun) | |
| { | |
| // Do not run farther than the length of the range | |
| immutable force = range.length - i > minRun ? minRun : range.length - i; | |
| binaryInsertionSort(range[i .. i + force], runLen); | |
| runLen = force; | |
| } | |
| // Push run onto stack | |
| stack[stackLen++] = Slice(i, runLen); | |
| i += runLen; | |
| // Collapse stack so that (e1 > e2 + e3 && e2 > e3) | |
| // STACK is | ... e1 e2 e3 > | |
| while (stackLen > 1) | |
| { | |
| immutable run4 = stackLen - 1; | |
| immutable run3 = stackLen - 2; | |
| immutable run2 = stackLen - 3; | |
| immutable run1 = stackLen - 4; | |
| if ( (stackLen > 2 && stack[run2].length <= stack[run3].length + stack[run4].length) || | |
| (stackLen > 3 && stack[run1].length <= stack[run3].length + stack[run2].length) ) | |
| { | |
| immutable at = stack[run2].length < stack[run4].length ? run2 : run3; | |
| mergeAt(range, stack[0 .. stackLen], at, minGallop, temp); | |
| } | |
| else if (stack[run3].length > stack[run4].length) break; | |
| else mergeAt(range, stack[0 .. stackLen], run3, minGallop, temp); | |
| stackLen -= 1; | |
| } | |
| // Assert that the code above established the invariant correctly | |
| version (StdUnittest) | |
| { | |
| if (stackLen == 2) | |
| { | |
| assert(stack[0].length > stack[1].length, format! | |
| "stack[0].length %s > stack[1].length %s"( | |
| stack[0].length, stack[1].length | |
| )); | |
| } | |
| else if (stackLen > 2) | |
| { | |
| foreach (k; 2 .. stackLen) | |
| { | |
| assert(stack[k - 2].length > stack[k - 1].length + stack[k].length, | |
| format!"stack[k - 2].length %s > stack[k - 1].length %s + stack[k].length %s"( | |
| stack[k - 2].length, stack[k - 1].length, stack[k].length | |
| )); | |
| assert(stack[k - 1].length > stack[k].length, | |
| format!"stack[k - 1].length %s > stack[k].length %s"( | |
| stack[k - 1].length, stack[k].length | |
| )); | |
| } | |
| } | |
| } | |
| } | |
| // Force collapse stack until there is only one run left | |
| while (stackLen > 1) | |
| { | |
| immutable run3 = stackLen - 1; | |
| immutable run2 = stackLen - 2; | |
| immutable run1 = stackLen - 3; | |
| immutable at = stackLen >= 3 && stack[run1].length <= stack[run3].length | |
| ? run1 : run2; | |
| mergeAt(range, stack[0 .. stackLen], at, minGallop, temp); | |
| --stackLen; | |
| } | |
| } | |
| // Calculates optimal value for minRun: | |
| // take first 6 bits of n and add 1 if any lower bits are set | |
| size_t minRunLength()(size_t n) | |
| { | |
| immutable shift = bsr(n)-5; | |
| auto result = (n >> shift) + !!(n & ~((1 << shift)-1)); | |
| return result; | |
| } | |
| // Returns length of first run in range | |
| size_t firstRun()(R range) | |
| out(ret) | |
| { | |
| assert(ret <= range.length, "ret must be less or equal than" | |
| ~ " range.length"); | |
| } | |
| do | |
| { | |
| import std.algorithm.mutation : reverse; | |
| if (range.length < 2) return range.length; | |
| size_t i = 2; | |
| if (lessEqual(range[0], range[1])) | |
| { | |
| while (i < range.length && lessEqual(range[i-1], range[i])) ++i; | |
| } | |
| else | |
| { | |
| while (i < range.length && greater(range[i-1], range[i])) ++i; | |
| reverse(range[0 .. i]); | |
| } | |
| return i; | |
| } | |
| // A binary insertion sort for building runs up to minRun length | |
| void binaryInsertionSort()(R range, size_t sortedLen = 1) | |
| out | |
| { | |
| if (!__ctfe) assert(isSorted!pred(range), "range must be sorted"); | |
| } | |
| do | |
| { | |
| import std.algorithm.mutation : move; | |
| for (; sortedLen < range.length; ++sortedLen) | |
| { | |
| T item = range.moveAt(sortedLen); | |
| size_t lower = 0; | |
| size_t upper = sortedLen; | |
| while (upper != lower) | |
| { | |
| size_t center = (lower + upper) / 2; | |
| if (less(item, range[center])) upper = center; | |
| else lower = center + 1; | |
| } | |
| //Currently (DMD 2.061) moveAll+retro is slightly less | |
| //efficient then stright 'for' loop | |
| //11 instructions vs 7 in the innermost loop [checked on Win32] | |
| //moveAll(retro(range[lower .. sortedLen]), | |
| // retro(range[lower+1 .. sortedLen+1])); | |
| for (upper=sortedLen; upper > lower; upper--) | |
| { | |
| static if (hasLvalueElements!R) | |
| move(range[upper -1], range[upper]); | |
| else | |
| range[upper] = range.moveAt(upper - 1); | |
| } | |
| static if (hasLvalueElements!R) | |
| move(item, range[lower]); | |
| else | |
| range[lower] = move(item); | |
| } | |
| } | |
| // Merge two runs in stack (at, at + 1) | |
| void mergeAt()(R range, Slice[] stack, immutable size_t at, ref size_t minGallop, ref T[] temp) | |
| in | |
| { | |
| import std.format : format; | |
| assert(stack.length >= 2, "stack be be greater than 1"); | |
| assert(stack.length - at == 2 || stack.length - at == 3, | |
| format!"stack.length - at %s must be 2 or 3"(stack.length - at)); | |
| } | |
| do | |
| { | |
| immutable base = stack[at].base; | |
| immutable mid = stack[at].length; | |
| immutable len = stack[at + 1].length + mid; | |
| // Pop run from stack | |
| stack[at] = Slice(base, len); | |
| if (stack.length - at == 3) stack[$ - 2] = stack[$ - 1]; | |
| // Merge runs (at, at + 1) | |
| return merge(range[base .. base + len], mid, minGallop, temp); | |
| } | |
| // Merge two runs in a range. Mid is the starting index of the second run. | |
| // minGallop and temp are references; The calling function must receive the updated values. | |
| void merge()(R range, size_t mid, ref size_t minGallop, ref T[] temp) | |
| in | |
| { | |
| if (!__ctfe) | |
| { | |
| assert(isSorted!pred(range[0 .. mid]), "range[0 .. mid] must be" | |
| ~ " sorted"); | |
| assert(isSorted!pred(range[mid .. range.length]), "range[mid .." | |
| ~ " range.length] must be sorted"); | |
| } | |
| } | |
| do | |
| { | |
| assert(mid < range.length, "mid must be less than the length of the" | |
| ~ " range"); | |
| // Reduce range of elements | |
| immutable firstElement = gallopForwardUpper(range[0 .. mid], range[mid]); | |
| immutable lastElement = gallopReverseLower(range[mid .. range.length], range[mid - 1]) + mid; | |
| range = range[firstElement .. lastElement]; | |
| mid -= firstElement; | |
| if (mid == 0 || mid == range.length) return; | |
| // Call function which will copy smaller run into temporary memory | |
| if (mid <= range.length / 2) | |
| { | |
| temp = ensureCapacity(mid, temp); | |
| minGallop = mergeLo(range, mid, minGallop, temp); | |
| } | |
| else | |
| { | |
| temp = ensureCapacity(range.length - mid, temp); | |
| minGallop = mergeHi(range, mid, minGallop, temp); | |
| } | |
| } | |
| // Enlarge size of temporary memory if needed | |
| T[] ensureCapacity()(size_t minCapacity, T[] temp) | |
| out(ret) | |
| { | |
| assert(ret.length >= minCapacity, "ensuring the capacity failed"); | |
| } | |
| do | |
| { | |
| if (temp.length < minCapacity) | |
| { | |
| size_t newSize = 1<<(bsr(minCapacity)+1); | |
| //Test for overflow | |
| if (newSize < minCapacity) newSize = minCapacity; | |
| // can't use `temp.length` if there's no default constructor | |
| static if (__traits(compiles, { T defaultConstructed; cast(void) defaultConstructed; })) | |
| { | |
| static if (hasElaborateAssign!T) | |
| temp.length = newSize; | |
| else | |
| { | |
| if (__ctfe) temp.length = newSize; | |
| else temp = () @trusted { return uninitializedArray!(T[])(newSize); }(); | |
| } | |
| } | |
| else | |
| { | |
| static assert(!hasElaborateAssign!T, | |
| "Structs which have opAssign but cannot be default-initialized " ~ | |
| "do not currently work with stable sort: " ~ | |
| "https://issues.dlang.org/show_bug.cgi?id=24810"); | |
| temp = () @trusted { return uninitializedArray!(T[])(newSize); }(); | |
| } | |
| } | |
| return temp; | |
| } | |
| // Merge front to back. Returns new value of minGallop. | |
| // temp must be large enough to store range[0 .. mid] | |
| size_t mergeLo()(R range, immutable size_t mid, size_t minGallop, T[] temp) | |
| out | |
| { | |
| if (!__ctfe) assert(isSorted!pred(range), "the range must be sorted"); | |
| } | |
| do | |
| { | |
| import std.algorithm.mutation : copy; | |
| assert(mid <= range.length, "mid must be less than the length of the" | |
| ~ " range"); | |
| assert(temp.length >= mid, "temp.length must be greater or equal to mid"); | |
| // Copy run into temporary memory | |
| temp = temp[0 .. mid]; | |
| copy(range[0 .. mid], temp); | |
| // Move first element into place | |
| moveEntry(range, mid, range, 0); | |
| size_t i = 1, lef = 0, rig = mid + 1; | |
| size_t count_lef, count_rig; | |
| immutable lef_end = temp.length - 1; | |
| if (lef < lef_end && rig < range.length) | |
| outer: while (true) | |
| { | |
| count_lef = 0; | |
| count_rig = 0; | |
| // Linear merge | |
| while ((count_lef | count_rig) < minGallop) | |
| { | |
| if (lessEqual(temp[lef], range[rig])) | |
| { | |
| moveEntry(temp, lef++, range, i++); | |
| if (lef >= lef_end) break outer; | |
| ++count_lef; | |
| count_rig = 0; | |
| } | |
| else | |
| { | |
| moveEntry(range, rig++, range, i++); | |
| if (rig >= range.length) break outer; | |
| count_lef = 0; | |
| ++count_rig; | |
| } | |
| } | |
| // Gallop merge | |
| do | |
| { | |
| count_lef = gallopForwardUpper(temp[lef .. $], range[rig]); | |
| foreach (j; 0 .. count_lef) moveEntry(temp, lef++, range, i++); | |
| if (lef >= temp.length) break outer; | |
| count_rig = gallopForwardLower(range[rig .. range.length], temp[lef]); | |
| foreach (j; 0 .. count_rig) moveEntry(range, rig++, range, i++); | |
| if (rig >= range.length) while (true) | |
| { | |
| moveEntry(temp, lef++, range, i++); | |
| if (lef >= temp.length) break outer; | |
| } | |
| if (minGallop > 0) --minGallop; | |
| } | |
| while (count_lef >= minimalGallop || count_rig >= minimalGallop); | |
| minGallop += 2; | |
| } | |
| // Move remaining elements from right | |
| while (rig < range.length) | |
| moveEntry(range, rig++, range, i++); | |
| // Move remaining elements from left | |
| while (lef < temp.length) | |
| moveEntry(temp, lef++, range, i++); | |
| return minGallop > 0 ? minGallop : 1; | |
| } | |
| // Merge back to front. Returns new value of minGallop. | |
| // temp must be large enough to store range[mid .. range.length] | |
| size_t mergeHi()(R range, immutable size_t mid, size_t minGallop, T[] temp) | |
| out | |
| { | |
| if (!__ctfe) assert(isSorted!pred(range), "the range must be sorted"); | |
| } | |
| do | |
| { | |
| import std.algorithm.mutation : copy; | |
| import std.format : format; | |
| assert(mid <= range.length, "mid must be less or equal to range.length"); | |
| assert(temp.length >= range.length - mid, format! | |
| "temp.length %s >= range.length %s - mid %s"(temp.length, | |
| range.length, mid)); | |
| // Copy run into temporary memory | |
| temp = temp[0 .. range.length - mid]; | |
| copy(range[mid .. range.length], temp); | |
| // Move first element into place | |
| moveEntry(range, mid - 1, range, range.length - 1); | |
| size_t i = range.length - 2, lef = mid - 2, rig = temp.length - 1; | |
| size_t count_lef, count_rig; | |
| outer: | |
| while (true) | |
| { | |
| count_lef = 0; | |
| count_rig = 0; | |
| // Linear merge | |
| while ((count_lef | count_rig) < minGallop) | |
| { | |
| if (greaterEqual(temp[rig], range[lef])) | |
| { | |
| moveEntry(temp, rig, range, i--); | |
| if (rig == 1) | |
| { | |
| // Move remaining elements from left | |
| while (true) | |
| { | |
| moveEntry(range, lef, range, i--); | |
| if (lef == 0) break; | |
| --lef; | |
| } | |
| // Move last element into place | |
| moveEntry(temp, 0, range, i); | |
| break outer; | |
| } | |
| --rig; | |
| count_lef = 0; | |
| ++count_rig; | |
| } | |
| else | |
| { | |
| moveEntry(range, lef, range, i--); | |
| if (lef == 0) while (true) | |
| { | |
| moveEntry(temp, rig, range, i--); | |
| if (rig == 0) break outer; | |
| --rig; | |
| } | |
| --lef; | |
| ++count_lef; | |
| count_rig = 0; | |
| } | |
| } | |
| // Gallop merge | |
| do | |
| { | |
| count_rig = rig - gallopReverseLower(temp[0 .. rig], range[lef]); | |
| foreach (j; 0 .. count_rig) | |
| { | |
| moveEntry(temp, rig, range, i--); | |
| if (rig == 0) break outer; | |
| --rig; | |
| } | |
| count_lef = lef - gallopReverseUpper(range[0 .. lef], temp[rig]); | |
| foreach (j; 0 .. count_lef) | |
| { | |
| moveEntry(range, lef, range, i--); | |
| if (lef == 0) while (true) | |
| { | |
| moveEntry(temp, rig, range, i--); | |
| if (rig == 0) break outer; | |
| --rig; | |
| } | |
| --lef; | |
| } | |
| if (minGallop > 0) --minGallop; | |
| } | |
| while (count_lef >= minimalGallop || count_rig >= minimalGallop); | |
| minGallop += 2; | |
| } | |
| return minGallop > 0 ? minGallop : 1; | |
| } | |
| // false = forward / lower, true = reverse / upper | |
| template gallopSearch(bool forwardReverse, bool lowerUpper) | |
| { | |
| // Gallop search on range according to attributes forwardReverse and lowerUpper | |
| size_t gallopSearch(R)(R range, T value) | |
| out(ret) | |
| { | |
| assert(ret <= range.length, "ret must be less or equal to" | |
| ~ " range.length"); | |
| } | |
| do | |
| { | |
| size_t lower = 0, center = 1, upper = range.length; | |
| alias gap = center; | |
| static if (forwardReverse) | |
| { | |
| static if (!lowerUpper) alias comp = lessEqual; // reverse lower | |
| static if (lowerUpper) alias comp = less; // reverse upper | |
| // Gallop Search Reverse | |
| while (gap <= upper) | |
| { | |
| if (comp(value, range[upper - gap])) | |
| { | |
| upper -= gap; | |
| gap *= 2; | |
| } | |
| else | |
| { | |
| lower = upper - gap; | |
| break; | |
| } | |
| } | |
| // Binary Search Reverse | |
| while (upper != lower) | |
| { | |
| center = lower + (upper - lower) / 2; | |
| if (comp(value, range[center])) upper = center; | |
| else lower = center + 1; | |
| } | |
| } | |
| else | |
| { | |
| static if (!lowerUpper) alias comp = greater; // forward lower | |
| static if (lowerUpper) alias comp = greaterEqual; // forward upper | |
| // Gallop Search Forward | |
| while (lower + gap < upper) | |
| { | |
| if (comp(value, range[lower + gap])) | |
| { | |
| lower += gap; | |
| gap *= 2; | |
| } | |
| else | |
| { | |
| upper = lower + gap; | |
| break; | |
| } | |
| } | |
| // Binary Search Forward | |
| while (lower != upper) | |
| { | |
| center = lower + (upper - lower) / 2; | |
| if (comp(value, range[center])) lower = center + 1; | |
| else upper = center; | |
| } | |
| } | |
| return lower; | |
| } | |
| } | |
| alias gallopForwardLower = gallopSearch!(false, false); | |
| alias gallopForwardUpper = gallopSearch!(false, true); | |
| alias gallopReverseLower = gallopSearch!( true, false); | |
| alias gallopReverseUpper = gallopSearch!( true, true); | |
| /// Helper method that moves from[fIdx] into to[tIdx] if both are lvalues and | |
| /// uses a plain assignment if not (necessary for backwards compatibility) | |
| void moveEntry(X, Y)(ref X from, const size_t fIdx, ref Y to, const size_t tIdx) | |
| { | |
| // This template is instantiated with different combinations of range (R) and temp (T[]). | |
| // T[] obviously has lvalue-elements, so checking R should be enough here | |
| static if (hasLvalueElements!R) | |
| { | |
| import core.lifetime : move; | |
| move(from[fIdx], to[tIdx]); | |
| } | |
| else | |
| to[tIdx] = from[fIdx]; | |
| } | |
| } | |
| @safe unittest | |
| { | |
| import std.random : Random, uniform, randomShuffle; | |
| // Element type with two fields | |
| static struct E | |
| { | |
| size_t value, index; | |
| } | |
| // Generates data especially for testing sorting with Timsort | |
| static E[] genSampleData(uint seed) @safe | |
| { | |
| import std.algorithm.mutation : swap, swapRanges; | |
| auto rnd = Random(seed); | |
| E[] arr; | |
| arr.length = 64 * 64; | |
| // We want duplicate values for testing stability | |
| foreach (i, ref v; arr) v.value = i / 64; | |
| // Swap ranges at random middle point (test large merge operation) | |
| immutable mid = uniform(arr.length / 4, arr.length / 4 * 3, rnd); | |
| swapRanges(arr[0 .. mid], arr[mid .. $]); | |
| // Shuffle last 1/8 of the array (test insertion sort and linear merge) | |
| randomShuffle(arr[$ / 8 * 7 .. $], rnd); | |
| // Swap few random elements (test galloping mode) | |
| foreach (i; 0 .. arr.length / 64) | |
| { | |
| immutable a = uniform(0, arr.length, rnd), b = uniform(0, arr.length, rnd); | |
| swap(arr[a], arr[b]); | |
| } | |
| // Now that our test array is prepped, store original index value | |
| // This will allow us to confirm the array was sorted stably | |
| foreach (i, ref v; arr) v.index = i; | |
| return arr; | |
| } | |
| // Tests the Timsort function for correctness and stability | |
| static bool testSort(uint seed) | |
| { | |
| import std.format : format; | |
| auto arr = genSampleData(seed); | |
| // Now sort the array! | |
| static bool comp(E a, E b) | |
| { | |
| return a.value < b.value; | |
| } | |
| sort!(comp, SwapStrategy.stable)(arr); | |
| // Test that the array was sorted correctly | |
| assert(isSorted!comp(arr), "arr must be sorted"); | |
| // Test that the array was sorted stably | |
| foreach (i; 0 .. arr.length - 1) | |
| { | |
| if (arr[i].value == arr[i + 1].value) | |
| assert(arr[i].index < arr[i + 1].index, format! | |
| "arr[i %s].index %s < arr[i + 1].index %s"( | |
| i, arr[i].index, arr[i + 1].index)); | |
| } | |
| return true; | |
| } | |
| enum seed = 310614065; | |
| testSort(seed); | |
| enum result = testSort(seed); | |
| assert(result == true, "invalid result"); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=4584 | |
| @safe unittest | |
| { | |
| assert(isSorted!"a < b"(sort!("a < b", SwapStrategy.stable)( | |
| [83, 42, 85, 86, 87, 22, 89, 30, 91, 46, 93, 94, 95, 6, | |
| 97, 14, 33, 10, 101, 102, 103, 26, 105, 106, 107, 6] | |
| ))); | |
| } | |
| @safe unittest | |
| { | |
| //test stable sort + zip | |
| import std.range; | |
| auto x = [10, 50, 60, 60, 20]; | |
| dchar[] y = "abcde"d.dup; | |
| sort!("a[0] < b[0]", SwapStrategy.stable)(zip(x, y)); | |
| assert(x == [10, 20, 50, 60, 60]); | |
| assert(y == "aebcd"d); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=14223 | |
| @safe unittest | |
| { | |
| import std.array, std.range; | |
| auto arr = chain(iota(0, 384), iota(0, 256), iota(0, 80), iota(0, 64), iota(0, 96)).array; | |
| sort!("a < b", SwapStrategy.stable)(arr); | |
| } | |
| @safe unittest | |
| { | |
| static struct NoCopy | |
| { | |
| pure nothrow @nogc @safe: | |
| int key; | |
| this(scope const ref NoCopy) | |
| { | |
| assert(false, "Tried to copy struct!"); | |
| } | |
| ref opAssign()(scope const auto ref NoCopy other) | |
| { | |
| assert(false, "Tried to copy struct!"); | |
| } | |
| this(this) {} | |
| } | |
| static NoCopy[] makeArray(const size_t size) | |
| { | |
| NoCopy[] array = new NoCopy[](size); | |
| foreach (const i, ref t; array[0..$/2]) t.key = cast(int) (size - i); | |
| foreach (const i, ref t; array[$/2..$]) t.key = cast(int) i; | |
| return array; | |
| } | |
| alias cmp = (ref NoCopy a, ref NoCopy b) => a.key < b.key; | |
| enum minMerge = TimSortImpl!(cmp, NoCopy[]).minimalMerge; | |
| sort!(cmp, SwapStrategy.unstable)(makeArray(20)); | |
| sort!(cmp, SwapStrategy.stable)(makeArray(minMerge - 5)); | |
| sort!(cmp, SwapStrategy.stable)(makeArray(minMerge + 5)); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=23668 | |
| @safe unittest | |
| { | |
| static struct S | |
| { | |
| int opCmp(const S) const { return 1; } | |
| @disable this(); | |
| } | |
| S[] array; | |
| array.sort!("a < b", SwapStrategy.stable); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=24773 | |
| @safe unittest | |
| { | |
| static struct S | |
| { | |
| int i = 42; | |
| ~this() { assert(i == 42); } | |
| } | |
| auto array = new S[](400); | |
| array.sort!((a, b) => false, SwapStrategy.stable); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=24809 | |
| @safe unittest | |
| { | |
| static struct E | |
| { | |
| int value; | |
| int valid = 42; | |
| ~this() | |
| { | |
| assert(valid == 42); | |
| } | |
| } | |
| import std.array : array; | |
| import std.range : chain, only, repeat; | |
| auto arr = chain(repeat(E(41), 18), | |
| only(E(39)), | |
| repeat(E(41), 16), | |
| only(E(1)), | |
| repeat(E(42), 33), | |
| only(E(33)), | |
| repeat(E(42), 16), | |
| repeat(E(43), 27), | |
| only(E(33)), | |
| repeat(E(43), 34), | |
| only(E(34)), | |
| only(E(43)), | |
| only(E(63)), | |
| repeat(E(44), 42), | |
| only(E(27)), | |
| repeat(E(44), 11), | |
| repeat(E(45), 64), | |
| repeat(E(46), 3), | |
| only(E(11)), | |
| repeat(E(46), 7), | |
| only(E(4)), | |
| repeat(E(46), 34), | |
| only(E(36)), | |
| repeat(E(46), 17), | |
| repeat(E(47), 36), | |
| only(E(39)), | |
| repeat(E(47), 26), | |
| repeat(E(48), 17), | |
| only(E(21)), | |
| repeat(E(48), 5), | |
| only(E(39)), | |
| repeat(E(48), 14), | |
| only(E(58)), | |
| repeat(E(48), 24), | |
| repeat(E(49), 13), | |
| only(E(40)), | |
| repeat(E(49), 38), | |
| only(E(18)), | |
| repeat(E(49), 11), | |
| repeat(E(50), 6)).array(); | |
| arr.sort!((a, b) => a.value < b.value, SwapStrategy.stable)(); | |
| } | |
| // schwartzSort | |
| /** | |
| Alternative sorting method that should be used when comparing keys involves an | |
| expensive computation. | |
| Instead of using `less(a, b)` for comparing elements, | |
| `schwartzSort` uses `less(transform(a), transform(b))`. The values of the | |
| `transform` function are precomputed in a temporary array, thus saving on | |
| repeatedly computing it. Conversely, if the cost of `transform` is small | |
| compared to the cost of allocating and filling the precomputed array, `sort` | |
| may be faster and therefore preferable. | |
| This approach to sorting is akin to the $(HTTP | |
| wikipedia.org/wiki/Schwartzian_transform, Schwartzian transform), also known as | |
| the decorate-sort-undecorate pattern in Python and Lisp. The complexity is the | |
| same as that of the corresponding `sort`, but `schwartzSort` evaluates | |
| `transform` only `r.length` times (less than half when compared to regular | |
| sorting). The usage can be best illustrated with an example. | |
| Example: | |
| ---- | |
| uint hashFun(string) { ... expensive computation ... } | |
| string[] array = ...; | |
| // Sort strings by hash, slow | |
| sort!((a, b) => hashFun(a) < hashFun(b))(array); | |
| // Sort strings by hash, fast (only computes arr.length hashes): | |
| schwartzSort!(hashFun, "a < b")(array); | |
| ---- | |
| The `schwartzSort` function might require less temporary data and | |
| be faster than the Perl idiom or the decorate-sort-undecorate idiom | |
| present in Python and Lisp. This is because sorting is done in-place | |
| and only minimal extra data (one array of transformed elements) is | |
| created. | |
| To check whether an array was sorted and benefit of the speedup of | |
| Schwartz sorting, a function `schwartzIsSorted` is not provided | |
| because the effect can be achieved by calling $(D | |
| isSorted!less(map!transform(r))). | |
| Params: | |
| transform = The transformation to apply. Either a unary function | |
| (`unaryFun!transform(element)`), or a binary function | |
| (`binaryFun!transform(element, index)`). | |
| less = The predicate to sort the transformed elements by. | |
| ss = The swapping strategy to use. | |
| r = The range to sort. | |
| Returns: The initial range wrapped as a `SortedRange` with the | |
| predicate `(a, b) => binaryFun!less(transform(a), transform(b))`. | |
| */ | |
| SortedRange!(R, ((a, b) => binaryFun!less(unaryFun!transform(a), | |
| unaryFun!transform(b)))) | |
| schwartzSort(alias transform, alias less = "a < b", | |
| SwapStrategy ss = SwapStrategy.unstable, R)(R r) | |
| if (isRandomAccessRange!R && hasLength!R && hasSwappableElements!R && | |
| !is(typeof(binaryFun!less) == SwapStrategy)) | |
| { | |
| import core.lifetime : emplace; | |
| import std.range : zip, SortedRange; | |
| import std.string : representation; | |
| static if (is(typeof(unaryFun!transform(r.front)))) | |
| { | |
| alias transformFun = unaryFun!transform; | |
| alias TB = typeof(transformFun(r.front)); | |
| enum isBinary = false; | |
| } | |
| else static if (is(typeof(binaryFun!transform(r.front, 0)))) | |
| { | |
| alias transformFun = binaryFun!transform; | |
| alias TB = typeof(transformFun(r.front, 0)); | |
| enum isBinary = true; | |
| } | |
| else | |
| static assert(false, "unsupported `transform` alias"); | |
| // The `transform` function might return a qualified type, e.g. const(int). | |
| // Strip qualifiers if possible s.t. the temporary array is sortable. | |
| static if (is(TB : Unqual!TB)) | |
| alias T = Unqual!TB; | |
| else | |
| static assert(false, "`transform` returns an unsortable qualified type: " ~ TB.stringof); | |
| static trustedMalloc()(size_t len) @trusted | |
| { | |
| import core.checkedint : mulu; | |
| import core.memory : pureMalloc; | |
| bool overflow; | |
| const nbytes = mulu(len, T.sizeof, overflow); | |
| if (overflow) assert(false, "multiplication overflowed"); | |
| T[] result = (cast(T*) pureMalloc(nbytes))[0 .. len]; | |
| static if (hasIndirections!T) | |
| { | |
| import core.memory : GC; | |
| GC.addRange(result.ptr, nbytes); | |
| } | |
| return result; | |
| } | |
| auto xform1 = trustedMalloc(r.length); | |
| size_t length; | |
| scope(exit) | |
| { | |
| static if (hasElaborateDestructor!T) | |
| { | |
| foreach (i; 0 .. length) collectException(destroy(xform1[i])); | |
| } | |
| static void trustedFree()(T[] p) @trusted | |
| { | |
| import core.memory : pureFree; | |
| static if (hasIndirections!T) | |
| { | |
| import core.memory : GC; | |
| GC.removeRange(p.ptr); | |
| } | |
| pureFree(p.ptr); | |
| } | |
| trustedFree(xform1); | |
| } | |
| for (; length != r.length; ++length) | |
| { | |
| static if (isBinary) | |
| emplace(&xform1[length], transformFun(r[length], length)); | |
| else | |
| emplace(&xform1[length], transformFun(r[length])); | |
| } | |
| // Make sure we use ubyte[] and ushort[], not char[] and wchar[] | |
| // for the intermediate array, lest zip gets confused. | |
| static if (isNarrowString!(typeof(xform1))) | |
| { | |
| auto xform = xform1.representation(); | |
| } | |
| else | |
| { | |
| alias xform = xform1; | |
| } | |
| zip(xform, r).sort!((a, b) => binaryFun!less(a[0], b[0]), ss)(); | |
| return typeof(return)(r); | |
| } | |
| /// ditto | |
| auto schwartzSort(alias transform, SwapStrategy ss, R)(R r) | |
| if (isRandomAccessRange!R && hasLength!R && hasSwappableElements!R) | |
| { | |
| return schwartzSort!(transform, "a < b", ss, R)(r); | |
| } | |
| /// | |
| @safe pure unittest | |
| { | |
| import std.algorithm.iteration : map; | |
| import std.numeric : entropy; | |
| auto lowEnt = [ 1.0, 0, 0 ], | |
| midEnt = [ 0.1, 0.1, 0.8 ], | |
| highEnt = [ 0.31, 0.29, 0.4 ]; | |
| auto arr = new double[][3]; | |
| arr[0] = midEnt; | |
| arr[1] = lowEnt; | |
| arr[2] = highEnt; | |
| schwartzSort!(entropy, "a > b")(arr); | |
| assert(arr[0] == highEnt); | |
| assert(arr[1] == midEnt); | |
| assert(arr[2] == lowEnt); | |
| assert(isSorted!("a > b")(map!(entropy)(arr))); | |
| } | |
| @safe pure unittest | |
| { | |
| import std.algorithm.iteration : map; | |
| import std.numeric : entropy; | |
| auto lowEnt = [ 1.0, 0, 0 ], | |
| midEnt = [ 0.1, 0.1, 0.8 ], | |
| highEnt = [ 0.31, 0.29, 0.4 ]; | |
| auto arr = new double[][3]; | |
| arr[0] = midEnt; | |
| arr[1] = lowEnt; | |
| arr[2] = highEnt; | |
| schwartzSort!(entropy, "a < b")(arr); | |
| assert(arr[0] == lowEnt); | |
| assert(arr[1] == midEnt); | |
| assert(arr[2] == highEnt); | |
| assert(isSorted!("a < b")(map!(entropy)(arr))); | |
| } | |
| @safe pure unittest | |
| { | |
| // binary transform function | |
| string[] strings = [ "one", "two", "three" ]; | |
| schwartzSort!((element, index) => size_t.max - index)(strings); | |
| assert(strings == [ "three", "two", "one" ]); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=4909 | |
| @safe pure unittest | |
| { | |
| import std.typecons : Tuple; | |
| Tuple!(char)[] chars; | |
| schwartzSort!"a[0]"(chars); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=5924 | |
| @safe pure unittest | |
| { | |
| import std.typecons : Tuple; | |
| Tuple!(char)[] chars; | |
| schwartzSort!((Tuple!(char) c){ return c[0]; })(chars); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=13965 | |
| @safe pure unittest | |
| { | |
| import std.typecons : Tuple; | |
| Tuple!(char)[] chars; | |
| schwartzSort!("a[0]", SwapStrategy.stable)(chars); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=13965 | |
| @safe pure unittest | |
| { | |
| import std.algorithm.iteration : map; | |
| import std.numeric : entropy; | |
| auto lowEnt = [ 1.0, 0, 0 ], | |
| midEnt = [ 0.1, 0.1, 0.8 ], | |
| highEnt = [ 0.31, 0.29, 0.4 ]; | |
| auto arr = new double[][3]; | |
| arr[0] = midEnt; | |
| arr[1] = lowEnt; | |
| arr[2] = highEnt; | |
| schwartzSort!(entropy, SwapStrategy.stable)(arr); | |
| assert(arr[0] == lowEnt); | |
| assert(arr[1] == midEnt); | |
| assert(arr[2] == highEnt); | |
| assert(isSorted!("a < b")(map!(entropy)(arr))); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=20799 | |
| @safe unittest | |
| { | |
| import std.range : iota, retro; | |
| import std.array : array; | |
| auto arr = 1_000_000.iota.retro.array; | |
| arr.schwartzSort!( | |
| n => new int(n), | |
| (a, b) => *a < *b | |
| ); | |
| assert(arr.isSorted()); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=21183 | |
| @safe unittest | |
| { | |
| static T get(T)(int) { return T.init; } | |
| // There's no need to actually sort, just checking type interference | |
| if (false) | |
| { | |
| int[] arr; | |
| // Fine because there are no indirections | |
| arr.schwartzSort!(get!(const int)); | |
| // Fine because it decays to immutable(int)* | |
| arr.schwartzSort!(get!(immutable int*)); | |
| // Disallowed because it would require a non-const reference | |
| static assert(!__traits(compiles, arr.schwartzSort!(get!(const Object)))); | |
| static struct Wrapper | |
| { | |
| int* ptr; | |
| } | |
| // Disallowed because Wrapper.ptr would become mutable | |
| static assert(!__traits(compiles, arr.schwartzSort!(get!(const Wrapper)))); | |
| } | |
| } | |
| // partialSort | |
| /** | |
| Reorders the random-access range `r` such that the range `r[0 .. mid]` | |
| is the same as if the entire `r` were sorted, and leaves | |
| the range `r[mid .. r.length]` in no particular order. | |
| Performs $(BIGOH r.length * log(mid)) evaluations of `pred`. The | |
| implementation simply calls `topN!(less, ss)(r, n)` and then $(D | |
| sort!(less, ss)(r[0 .. n])). | |
| Params: | |
| less = The predicate to sort by. | |
| ss = The swapping strategy to use. | |
| r = The random-access range to reorder. | |
| n = The length of the initial segment of `r` to sort. | |
| */ | |
| void partialSort(alias less = "a < b", SwapStrategy ss = SwapStrategy.unstable, | |
| Range)(Range r, size_t n) | |
| if (isRandomAccessRange!(Range) && hasLength!(Range) && hasSlicing!(Range)) | |
| { | |
| partialSort!(less, ss)(r[0 .. n], r[n .. $]); | |
| } | |
| /// | |
| @system unittest | |
| { | |
| int[] a = [ 9, 8, 7, 6, 5, 4, 3, 2, 1, 0 ]; | |
| partialSort(a, 5); | |
| assert(a[0 .. 5] == [ 0, 1, 2, 3, 4 ]); | |
| } | |
| /** | |
| Stores the smallest elements of the two ranges in the left-hand range in sorted order. | |
| Params: | |
| less = The predicate to sort by. | |
| ss = The swapping strategy to use. | |
| r1 = The first range. | |
| r2 = The second range. | |
| */ | |
| void partialSort(alias less = "a < b", SwapStrategy ss = SwapStrategy.unstable, | |
| Range1, Range2)(Range1 r1, Range2 r2) | |
| if (isRandomAccessRange!(Range1) && hasLength!Range1 && | |
| isInputRange!Range2 && is(ElementType!Range1 == ElementType!Range2) && | |
| hasLvalueElements!Range1 && hasLvalueElements!Range2) | |
| { | |
| topN!(less, ss)(r1, r2); | |
| sort!(less, ss)(r1); | |
| } | |
| /// | |
| @system unittest | |
| { | |
| int[] a = [5, 7, 2, 6, 7]; | |
| int[] b = [2, 1, 5, 6, 7, 3, 0]; | |
| partialSort(a, b); | |
| assert(a == [0, 1, 2, 2, 3]); | |
| } | |
| // topN | |
| /** | |
| Reorders the range `r` using $(REF_ALTTEXT swap, swap, std,algorithm,mutation) | |
| such that `r[nth]` refers to the element that would fall there if the range | |
| were fully sorted. | |
| It is akin to $(LINK2 https://en.wikipedia.org/wiki/Quickselect, Quickselect), | |
| and partitions `r` such that all elements | |
| `e1` from `r[0]` to `r[nth]` satisfy `!less(r[nth], e1)`, | |
| and all elements `e2` from `r[nth]` to `r[r.length]` satisfy | |
| `!less(e2, r[nth])`. Effectively, it finds the `nth + 1` smallest | |
| (according to `less`) elements in `r`. Performs an expected | |
| $(BIGOH r.length) (if unstable) or $(BIGOH r.length * log(r.length)) | |
| (if stable) evaluations of `less` and $(REF_ALTTEXT swap, swap, std,algorithm,mutation). | |
| If `n >= r.length`, the algorithm has no effect and returns | |
| `r[0 .. r.length]`. | |
| Params: | |
| less = The predicate to sort by. | |
| ss = The swapping strategy to use. | |
| r = The random-access range to reorder. | |
| nth = The index of the element that should be in sorted position after the | |
| function is done. | |
| Returns: a slice from `r[0]` to `r[nth]`, excluding `r[nth]` itself. | |
| See_Also: | |
| $(LREF topNIndex), | |
| BUGS: | |
| Stable topN has not been implemented yet. | |
| */ | |
| auto topN(alias less = "a < b", | |
| SwapStrategy ss = SwapStrategy.unstable, | |
| Range)(Range r, size_t nth) | |
| if (isRandomAccessRange!(Range) && hasLength!Range && | |
| hasSlicing!Range && hasAssignableElements!Range) | |
| { | |
| static assert(ss == SwapStrategy.unstable, | |
| "Stable topN not yet implemented"); | |
| if (nth >= r.length) return r[0 .. r.length]; | |
| auto ret = r[0 .. nth]; | |
| if (false) | |
| { | |
| // Workaround for https://issues.dlang.org/show_bug.cgi?id=16528 | |
| // Safety checks: enumerate all potentially unsafe generic primitives | |
| // then use a @trusted implementation. | |
| cast(void) binaryFun!less(r[0], r[r.length - 1]); | |
| import std.algorithm.mutation : swapAt; | |
| r.swapAt(size_t(0), size_t(0)); | |
| static assert(is(typeof(r.length) == size_t), | |
| typeof(r.length).stringof ~ " must be of type size_t"); | |
| pivotPartition!less(r, 0); | |
| } | |
| bool useSampling = true; | |
| topNImpl!(binaryFun!less)(r, nth, useSampling); | |
| return ret; | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| int[] v = [ 25, 7, 9, 2, 0, 5, 21 ]; | |
| topN!"a < b"(v, 100); | |
| assert(v == [ 25, 7, 9, 2, 0, 5, 21 ]); | |
| auto n = 4; | |
| topN!((a, b) => a < b)(v, n); | |
| assert(v[n] == 9); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=8341 | |
| @safe unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.range : zip; | |
| import std.typecons : tuple; | |
| auto a = [10, 30, 20]; | |
| auto b = ["c", "b", "a"]; | |
| assert(topN!"a[0] > b[0]"(zip(a, b), 2).equal([tuple(20, "a"), tuple(30, "b")])); | |
| } | |
| private @trusted | |
| void topNImpl(alias less, R)(R r, size_t n, ref bool useSampling) | |
| { | |
| for (;;) | |
| { | |
| import std.algorithm.mutation : swapAt; | |
| assert(n < r.length); | |
| size_t pivot = void; | |
| // Decide strategy for partitioning | |
| if (n == 0) | |
| { | |
| pivot = 0; | |
| foreach (i; 1 .. r.length) | |
| if (less(r[i], r[pivot])) pivot = i; | |
| r.swapAt(n, pivot); | |
| return; | |
| } | |
| if (n + 1 == r.length) | |
| { | |
| pivot = 0; | |
| foreach (i; 1 .. r.length) | |
| if (less(r[pivot], r[i])) pivot = i; | |
| r.swapAt(n, pivot); | |
| return; | |
| } | |
| if (r.length <= 12) | |
| { | |
| pivot = pivotPartition!less(r, r.length / 2); | |
| } | |
| else if (n * 16 <= (r.length - 1) * 7) | |
| { | |
| pivot = topNPartitionOffMedian!(less, No.leanRight) | |
| (r, n, useSampling); | |
| // Quality check | |
| if (useSampling) | |
| { | |
| if (pivot < n) | |
| { | |
| if (pivot * 4 < r.length) | |
| { | |
| useSampling = false; | |
| } | |
| } | |
| else if ((r.length - pivot) * 8 < r.length * 3) | |
| { | |
| useSampling = false; | |
| } | |
| } | |
| } | |
| else if (n * 16 >= (r.length - 1) * 9) | |
| { | |
| pivot = topNPartitionOffMedian!(less, Yes.leanRight) | |
| (r, n, useSampling); | |
| // Quality check | |
| if (useSampling) | |
| { | |
| if (pivot < n) | |
| { | |
| if (pivot * 8 < r.length * 3) | |
| { | |
| useSampling = false; | |
| } | |
| } | |
| else if ((r.length - pivot) * 4 < r.length) | |
| { | |
| useSampling = false; | |
| } | |
| } | |
| } | |
| else | |
| { | |
| pivot = topNPartition!less(r, n, useSampling); | |
| // Quality check | |
| if (useSampling && | |
| (pivot * 9 < r.length * 2 || pivot * 9 > r.length * 7)) | |
| { | |
| // Failed - abort sampling going forward | |
| useSampling = false; | |
| } | |
| } | |
| assert(pivot != size_t.max, "pivot must be not equal to size_t.max"); | |
| // See how the pivot fares | |
| if (pivot == n) | |
| { | |
| return; | |
| } | |
| if (pivot > n) | |
| { | |
| r = r[0 .. pivot]; | |
| } | |
| else | |
| { | |
| n -= pivot + 1; | |
| r = r[pivot + 1 .. r.length]; | |
| } | |
| } | |
| } | |
| private size_t topNPartition(alias lp, R)(R r, size_t n, bool useSampling) | |
| { | |
| import std.format : format; | |
| assert(r.length >= 9 && n < r.length, "length must be longer than 8" | |
| ~ " and n must be less than r.length"); | |
| immutable ninth = r.length / 9; | |
| auto pivot = ninth / 2; | |
| // Position subrange r[lo .. hi] to have length equal to ninth and its upper | |
| // median r[lo .. hi][$ / 2] in exactly the same place as the upper median | |
| // of the entire range r[$ / 2]. This is to improve behavior for searching | |
| // the median in already sorted ranges. | |
| immutable lo = r.length / 2 - pivot, hi = lo + ninth; | |
| // We have either one straggler on the left, one on the right, or none. | |
| assert(lo - (r.length - hi) <= 1 || (r.length - hi) - lo <= 1, | |
| format!"straggler check failed lo %s, r.length %s, hi %s"(lo, r.length, hi)); | |
| assert(lo >= ninth * 4, format!"lo %s >= ninth * 4 %s"(lo, ninth * 4)); | |
| assert(r.length - hi >= ninth * 4, | |
| format!"r.length %s - hi %s >= ninth * 4 %s"(r.length, hi, ninth * 4)); | |
| // Partition in groups of 3, and the mid tertile again in groups of 3 | |
| if (!useSampling) | |
| p3!lp(r, lo - ninth, hi + ninth); | |
| p3!lp(r, lo, hi); | |
| // Get the median of medians of medians | |
| // Map the full interval of n to the full interval of the ninth | |
| pivot = (n * (ninth - 1)) / (r.length - 1); | |
| topNImpl!lp(r[lo .. hi], pivot, useSampling); | |
| return expandPartition!lp(r, lo, pivot + lo, hi); | |
| } | |
| private void p3(alias less, Range)(Range r, size_t lo, immutable size_t hi) | |
| { | |
| import std.format : format; | |
| assert(lo <= hi && hi < r.length, | |
| format!"lo %s <= hi %s && hi < r.length %s"(lo, hi, r.length)); | |
| immutable ln = hi - lo; | |
| for (; lo < hi; ++lo) | |
| { | |
| assert(lo >= ln, format!"lo %s >= ln %s"(lo, ln)); | |
| assert(lo + ln < r.length, format!"lo %s + ln %s < r.length %s"( | |
| lo, ln, r.length)); | |
| medianOf!less(r, lo - ln, lo, lo + ln); | |
| } | |
| } | |
| private void p4(alias less, Flag!"leanRight" f, Range) | |
| (Range r, size_t lo, immutable size_t hi) | |
| { | |
| import std.format : format; | |
| assert(lo <= hi && hi < r.length, format!"lo %s <= hi %s && hi < r.length %s"( | |
| lo, hi, r.length)); | |
| immutable ln = hi - lo, _2ln = ln * 2; | |
| for (; lo < hi; ++lo) | |
| { | |
| assert(lo >= ln, format!"lo %s >= ln %s"(lo, ln)); | |
| assert(lo + ln < r.length, format!"lo %s + ln %s < r.length %s"( | |
| lo, ln, r.length)); | |
| static if (f == Yes.leanRight) | |
| medianOf!(less, f)(r, lo - _2ln, lo - ln, lo, lo + ln); | |
| else | |
| medianOf!(less, f)(r, lo - ln, lo, lo + ln, lo + _2ln); | |
| } | |
| } | |
| private size_t topNPartitionOffMedian(alias lp, Flag!"leanRight" f, R) | |
| (R r, size_t n, bool useSampling) | |
| { | |
| assert(r.length >= 12, "The length of r must be greater than 11"); | |
| assert(n < r.length, "n must be less than the length of r"); | |
| immutable _4 = r.length / 4; | |
| static if (f == Yes.leanRight) | |
| immutable leftLimit = 2 * _4; | |
| else | |
| immutable leftLimit = _4; | |
| // Partition in groups of 4, and the left quartile again in groups of 3 | |
| if (!useSampling) | |
| { | |
| p4!(lp, f)(r, leftLimit, leftLimit + _4); | |
| } | |
| immutable _12 = _4 / 3; | |
| immutable lo = leftLimit + _12, hi = lo + _12; | |
| p3!lp(r, lo, hi); | |
| // Get the median of medians of medians | |
| // Map the full interval of n to the full interval of the ninth | |
| immutable pivot = (n * (_12 - 1)) / (r.length - 1); | |
| topNImpl!lp(r[lo .. hi], pivot, useSampling); | |
| return expandPartition!lp(r, lo, pivot + lo, hi); | |
| } | |
| /* | |
| Params: | |
| less = predicate | |
| r = range to partition | |
| pivot = pivot to partition around | |
| lo = value such that r[lo .. pivot] already less than r[pivot] | |
| hi = value such that r[pivot .. hi] already greater than r[pivot] | |
| Returns: new position of pivot | |
| */ | |
| private | |
| size_t expandPartition(alias lp, R)(R r, size_t lo, size_t pivot, size_t hi) | |
| in | |
| { | |
| import std.algorithm.searching : all; | |
| assert(lo <= pivot, "lo must be less than or equal pivot"); | |
| assert(pivot < hi, "pivot must be less than hi"); | |
| assert(hi <= r.length, "hi must be less than or equal to the length of r"); | |
| assert(r[lo .. pivot + 1].all!(x => !lp(r[pivot], x)), | |
| "r[lo .. pivot + 1] failed less than test"); | |
| assert(r[pivot + 1 .. hi].all!(x => !lp(x, r[pivot])), | |
| "r[pivot + 1 .. hi] failed less than test"); | |
| } | |
| out | |
| { | |
| import std.algorithm.searching : all; | |
| assert(r[0 .. pivot + 1].all!(x => !lp(r[pivot], x)), | |
| "r[0 .. pivot + 1] failed less than test"); | |
| assert(r[pivot + 1 .. r.length].all!(x => !lp(x, r[pivot])), | |
| "r[pivot + 1 .. r.length] failed less than test"); | |
| } | |
| do | |
| { | |
| import std.algorithm.mutation : swapAt; | |
| import std.algorithm.searching : all; | |
| // We work with closed intervals! | |
| --hi; | |
| size_t left = 0, rite = r.length - 1; | |
| loop: for (;; ++left, --rite) | |
| { | |
| for (;; ++left) | |
| { | |
| if (left == lo) break loop; | |
| if (!lp(r[left], r[pivot])) break; | |
| } | |
| for (;; --rite) | |
| { | |
| if (rite == hi) break loop; | |
| if (!lp(r[pivot], r[rite])) break; | |
| } | |
| r.swapAt(left, rite); | |
| } | |
| assert(r[lo .. pivot + 1].all!(x => !lp(r[pivot], x)), | |
| "r[lo .. pivot + 1] failed less than test"); | |
| assert(r[pivot + 1 .. hi + 1].all!(x => !lp(x, r[pivot])), | |
| "r[pivot + 1 .. hi + 1] failed less than test"); | |
| assert(r[0 .. left].all!(x => !lp(r[pivot], x)), | |
| "r[0 .. left] failed less than test"); | |
| assert(r[rite + 1 .. r.length].all!(x => !lp(x, r[pivot])), | |
| "r[rite + 1 .. r.length] failed less than test"); | |
| immutable oldPivot = pivot; | |
| if (left < lo) | |
| { | |
| // First loop: spend r[lo .. pivot] | |
| for (; lo < pivot; ++left) | |
| { | |
| if (left == lo) goto done; | |
| if (!lp(r[oldPivot], r[left])) continue; | |
| --pivot; | |
| assert(!lp(r[oldPivot], r[pivot]), "less check failed"); | |
| r.swapAt(left, pivot); | |
| } | |
| // Second loop: make left and pivot meet | |
| for (;; ++left) | |
| { | |
| if (left == pivot) goto done; | |
| if (!lp(r[oldPivot], r[left])) continue; | |
| for (;;) | |
| { | |
| if (left == pivot) goto done; | |
| --pivot; | |
| if (lp(r[pivot], r[oldPivot])) | |
| { | |
| r.swapAt(left, pivot); | |
| break; | |
| } | |
| } | |
| } | |
| } | |
| // First loop: spend r[lo .. pivot] | |
| for (; hi != pivot; --rite) | |
| { | |
| if (rite == hi) goto done; | |
| if (!lp(r[rite], r[oldPivot])) continue; | |
| ++pivot; | |
| assert(!lp(r[pivot], r[oldPivot]), "less check failed"); | |
| r.swapAt(rite, pivot); | |
| } | |
| // Second loop: make left and pivot meet | |
| for (; rite > pivot; --rite) | |
| { | |
| if (!lp(r[rite], r[oldPivot])) continue; | |
| while (rite > pivot) | |
| { | |
| ++pivot; | |
| if (lp(r[oldPivot], r[pivot])) | |
| { | |
| r.swapAt(rite, pivot); | |
| break; | |
| } | |
| } | |
| } | |
| done: | |
| r.swapAt(oldPivot, pivot); | |
| return pivot; | |
| } | |
| @safe unittest | |
| { | |
| auto a = [ 10, 5, 3, 4, 8, 11, 13, 3, 9, 4, 10 ]; | |
| assert(expandPartition!((a, b) => a < b)(a, 4, 5, 6) == 9); | |
| import std.algorithm.iteration : map; | |
| import std.array : array; | |
| import std.random : uniform; | |
| import std.range : iota; | |
| auto size = uniform(1, 1000); | |
| a = iota(0, size).map!(_ => uniform(0, 1000)).array; | |
| if (a.length == 0) return; | |
| expandPartition!((a, b) => a < b)(a, a.length / 2, a.length / 2, | |
| a.length / 2 + 1); | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.comparison : max, min; | |
| import std.algorithm.iteration : reduce; | |
| int[] v = [ 7, 6, 5, 4, 3, 2, 1, 0 ]; | |
| ptrdiff_t n = 3; | |
| topN!("a < b")(v, n); | |
| assert(reduce!max(v[0 .. n]) <= v[n]); | |
| assert(reduce!min(v[n + 1 .. $]) >= v[n]); | |
| // | |
| v = [3, 4, 5, 6, 7, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5]; | |
| n = 3; | |
| topN(v, n); | |
| assert(reduce!max(v[0 .. n]) <= v[n]); | |
| assert(reduce!min(v[n + 1 .. $]) >= v[n]); | |
| // | |
| v = [3, 4, 5, 6, 7, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5]; | |
| n = 1; | |
| topN(v, n); | |
| assert(reduce!max(v[0 .. n]) <= v[n]); | |
| assert(reduce!min(v[n + 1 .. $]) >= v[n]); | |
| // | |
| v = [3, 4, 5, 6, 7, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5]; | |
| n = v.length - 1; | |
| topN(v, n); | |
| assert(v[n] == 7); | |
| // | |
| v = [3, 4, 5, 6, 7, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5]; | |
| n = 0; | |
| topN(v, n); | |
| assert(v[n] == 1); | |
| double[][] v1 = [[-10, -5], [-10, -3], [-10, -5], [-10, -4], | |
| [-10, -5], [-9, -5], [-9, -3], [-9, -5],]; | |
| // double[][] v1 = [ [-10, -5], [-10, -4], [-9, -5], [-9, -5], | |
| // [-10, -5], [-10, -3], [-10, -5], [-9, -3],]; | |
| double[]*[] idx = [ &v1[0], &v1[1], &v1[2], &v1[3], &v1[4], &v1[5], &v1[6], | |
| &v1[7], ]; | |
| auto mid = v1.length / 2; | |
| topN!((a, b){ return (*a)[1] < (*b)[1]; })(idx, mid); | |
| foreach (e; idx[0 .. mid]) assert((*e)[1] <= (*idx[mid])[1]); | |
| foreach (e; idx[mid .. $]) assert((*e)[1] >= (*idx[mid])[1]); | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.comparison : max, min; | |
| import std.algorithm.iteration : reduce; | |
| import std.random : Random = Xorshift, uniform; | |
| immutable uint[] seeds = [90027751, 2709791795, 1374631933, 995751648, 3541495258, 984840953]; | |
| foreach (s; seeds) | |
| { | |
| auto r = Random(s); | |
| int[] a = new int[uniform(1, 10000, r)]; | |
| foreach (ref e; a) e = uniform(-1000, 1000, r); | |
| auto k = uniform(0, a.length, r); | |
| topN(a, k); | |
| if (k > 0) | |
| { | |
| auto left = reduce!max(a[0 .. k]); | |
| assert(left <= a[k]); | |
| } | |
| if (k + 1 < a.length) | |
| { | |
| auto right = reduce!min(a[k + 1 .. $]); | |
| assert(right >= a[k]); | |
| } | |
| } | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=12987 | |
| @safe unittest | |
| { | |
| int[] a = [ 25, 7, 9, 2, 0, 5, 21 ]; | |
| auto n = 4; | |
| auto t = topN(a, n); | |
| sort(t); | |
| assert(t == [0, 2, 5, 7]); | |
| } | |
| /** | |
| Stores the smallest elements of the two ranges in the left-hand range. | |
| Params: | |
| less = The predicate to sort by. | |
| ss = The swapping strategy to use. | |
| r1 = The first range. | |
| r2 = The second range. | |
| */ | |
| auto topN(alias less = "a < b", | |
| SwapStrategy ss = SwapStrategy.unstable, | |
| Range1, Range2)(Range1 r1, Range2 r2) | |
| if (isRandomAccessRange!(Range1) && hasLength!Range1 && | |
| isInputRange!Range2 && is(ElementType!Range1 == ElementType!Range2) && | |
| hasLvalueElements!Range1 && hasLvalueElements!Range2) | |
| { | |
| import std.container : BinaryHeap; | |
| static assert(ss == SwapStrategy.unstable, | |
| "Stable topN not yet implemented"); | |
| auto heap = BinaryHeap!(Range1, less)(r1); | |
| foreach (ref e; r2) | |
| { | |
| heap.conditionalSwap(e); | |
| } | |
| return r1; | |
| } | |
| /// | |
| @system unittest | |
| { | |
| int[] a = [ 5, 7, 2, 6, 7 ]; | |
| int[] b = [ 2, 1, 5, 6, 7, 3, 0 ]; | |
| topN(a, b); | |
| sort(a); | |
| assert(a == [0, 1, 2, 2, 3]); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=15421 | |
| @system unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| import std.internal.test.dummyrange; | |
| import std.meta : AliasSeq; | |
| alias RandomRanges = AliasSeq!( | |
| DummyRange!(ReturnBy.Reference, Length.Yes, RangeType.Random) | |
| ); | |
| alias ReferenceRanges = AliasSeq!( | |
| DummyRange!(ReturnBy.Reference, Length.Yes, RangeType.Forward), | |
| DummyRange!(ReturnBy.Reference, Length.Yes, RangeType.Bidirectional), | |
| DummyRange!(ReturnBy.Reference, Length.Yes, RangeType.Random), | |
| DummyRange!(ReturnBy.Reference, Length.No, RangeType.Forward), | |
| DummyRange!(ReturnBy.Reference, Length.No, RangeType.Bidirectional)); | |
| foreach (T1; RandomRanges) | |
| { | |
| foreach (T2; ReferenceRanges) | |
| { | |
| import std.array : array; | |
| T1 A; | |
| T2 B; | |
| A.reinit(); | |
| B.reinit(); | |
| topN(A, B); | |
| // BUG(?): sort doesn't accept DummyRanges (needs Slicing and Length) | |
| auto a = array(A); | |
| auto b = array(B); | |
| sort(a); | |
| sort(b); | |
| assert(equal(a, [ 1, 1, 2, 2, 3, 3, 4, 4, 5, 5 ])); | |
| assert(equal(b, [ 6, 6, 7, 7, 8, 8, 9, 9, 10, 10 ])); | |
| } | |
| } | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=15421 | |
| @system unittest | |
| { | |
| auto a = [ 9, 8, 0, 3, 5, 25, 43, 4, 2, 0, 7 ]; | |
| auto b = [ 9, 8, 0, 3, 5, 25, 43, 4, 2, 0, 7 ]; | |
| topN(a, 4); | |
| topN(b[0 .. 4], b[4 .. $]); | |
| sort(a[0 .. 4]); | |
| sort(a[4 .. $]); | |
| sort(b[0 .. 4]); | |
| sort(b[4 .. $]); | |
| assert(a[0 .. 4] == b[0 .. 4]); | |
| assert(a[4 .. $] == b[4 .. $]); | |
| assert(a == b); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=12987 | |
| @system unittest | |
| { | |
| int[] a = [ 5, 7, 2, 6, 7 ]; | |
| int[] b = [ 2, 1, 5, 6, 7, 3, 0 ]; | |
| auto t = topN(a, b); | |
| sort(t); | |
| assert(t == [ 0, 1, 2, 2, 3 ]); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=15420 | |
| @system unittest | |
| { | |
| int[] a = [ 5, 7, 2, 6, 7 ]; | |
| int[] b = [ 2, 1, 5, 6, 7, 3, 0 ]; | |
| topN!"a > b"(a, b); | |
| sort!"a > b"(a); | |
| assert(a == [ 7, 7, 7, 6, 6 ]); | |
| } | |
| /** | |
| Copies the top `n` elements of the | |
| $(REF_ALTTEXT input range, isInputRange, std,range,primitives) `source` into the | |
| random-access range `target`, where `n = target.length`. | |
| Elements of `source` are not touched. If $(D | |
| sorted) is `true`, the target is sorted. Otherwise, the target | |
| respects the $(HTTP en.wikipedia.org/wiki/Binary_heap, heap property). | |
| Params: | |
| less = The predicate to sort by. | |
| source = The source range. | |
| target = The target range. | |
| sorted = Whether to sort the elements copied into `target`. | |
| Returns: The slice of `target` containing the copied elements. | |
| */ | |
| TRange topNCopy(alias less = "a < b", SRange, TRange) | |
| (SRange source, TRange target, SortOutput sorted = No.sortOutput) | |
| if (isInputRange!(SRange) && isRandomAccessRange!(TRange) | |
| && hasLength!(TRange) && hasSlicing!(TRange)) | |
| { | |
| import std.container : BinaryHeap; | |
| if (target.empty) return target; | |
| auto heap = BinaryHeap!(TRange, less)(target, 0); | |
| foreach (e; source) heap.conditionalInsert(e); | |
| auto result = target[0 .. heap.length]; | |
| if (sorted == Yes.sortOutput) | |
| { | |
| while (!heap.empty) heap.removeFront(); | |
| } | |
| return result; | |
| } | |
| /// | |
| @system unittest | |
| { | |
| import std.typecons : Yes; | |
| int[] a = [ 10, 16, 2, 3, 1, 5, 0 ]; | |
| int[] b = new int[3]; | |
| topNCopy(a, b, Yes.sortOutput); | |
| assert(b == [ 0, 1, 2 ]); | |
| } | |
| @system unittest | |
| { | |
| import std.random : Random = Xorshift, uniform, randomShuffle; | |
| import std.typecons : Yes; | |
| auto r = Random(123_456_789); | |
| ptrdiff_t[] a = new ptrdiff_t[uniform(1, 1000, r)]; | |
| foreach (i, ref e; a) e = i; | |
| randomShuffle(a, r); | |
| auto n = uniform(0, a.length, r); | |
| ptrdiff_t[] b = new ptrdiff_t[n]; | |
| topNCopy!(binaryFun!("a < b"))(a, b, Yes.sortOutput); | |
| assert(isSorted!(binaryFun!("a < b"))(b)); | |
| } | |
| /** | |
| Given a range of elements, constructs an index of its top $(I n) elements | |
| (i.e., the first $(I n) elements if the range were sorted). | |
| Similar to $(LREF topN), except that the range is not modified. | |
| Params: | |
| less = A binary predicate that defines the ordering of range elements. | |
| Defaults to `a < b`. | |
| ss = $(RED (Not implemented yet.)) Specify the swapping strategy. | |
| r = A | |
| $(REF_ALTTEXT random-access range, isRandomAccessRange, std,range,primitives) | |
| of elements to make an index for. | |
| index = A | |
| $(REF_ALTTEXT random-access range, isRandomAccessRange, std,range,primitives) | |
| with assignable elements to build the index in. The length of this range | |
| determines how many top elements to index in `r`. | |
| This index range can either have integral elements, in which case the | |
| constructed index will consist of zero-based numerical indices into | |
| `r`; or it can have pointers to the element type of `r`, in which | |
| case the constructed index will be pointers to the top elements in | |
| `r`. | |
| sorted = Determines whether to sort the index by the elements they refer | |
| to. | |
| See_also: $(LREF topN), $(LREF topNCopy). | |
| BUGS: | |
| The swapping strategy parameter is not implemented yet; currently it is | |
| ignored. | |
| */ | |
| void topNIndex(alias less = "a < b", SwapStrategy ss = SwapStrategy.unstable, | |
| Range, RangeIndex) | |
| (Range r, RangeIndex index, SortOutput sorted = No.sortOutput) | |
| if (isRandomAccessRange!Range && | |
| isRandomAccessRange!RangeIndex && | |
| hasAssignableElements!RangeIndex) | |
| { | |
| static assert(ss == SwapStrategy.unstable, | |
| "Stable swap strategy not implemented yet."); | |
| import std.container.binaryheap : BinaryHeap; | |
| if (index.empty) return; | |
| static if (isIntegral!(ElementType!(RangeIndex))) | |
| { | |
| import std.exception : enforce; | |
| enforce(ElementType!(RangeIndex).max >= index.length, | |
| "Index type too small"); | |
| bool indirectLess(ElementType!(RangeIndex) a, ElementType!(RangeIndex) b) | |
| { | |
| return binaryFun!(less)(r[a], r[b]); | |
| } | |
| auto heap = BinaryHeap!(RangeIndex, indirectLess)(index, 0); | |
| foreach (i; 0 .. r.length) | |
| { | |
| heap.conditionalInsert(cast(ElementType!RangeIndex) i); | |
| } | |
| } | |
| else static if (is(ElementType!(RangeIndex) == ElementType!(Range)*)) | |
| { | |
| static bool indirectLess(const ElementType!(RangeIndex) a, | |
| const ElementType!(RangeIndex) b) | |
| { | |
| return binaryFun!less(*a, *b); | |
| } | |
| auto heap = BinaryHeap!(RangeIndex, indirectLess)(index, 0); | |
| foreach (i; 0 .. r.length) | |
| { | |
| heap.conditionalInsert(&r[i]); | |
| } | |
| } | |
| else static assert(0, "Invalid ElementType"); | |
| if (sorted == Yes.sortOutput) | |
| { | |
| while (!heap.empty) heap.removeFront(); | |
| } | |
| } | |
| /// | |
| @system unittest | |
| { | |
| import std.typecons : Yes; | |
| // Construct index to top 3 elements using numerical indices: | |
| int[] a = [ 10, 2, 7, 5, 8, 1 ]; | |
| int[] index = new int[3]; | |
| topNIndex(a, index, Yes.sortOutput); | |
| assert(index == [5, 1, 3]); // because a[5]==1, a[1]==2, a[3]==5 | |
| // Construct index to top 3 elements using pointer indices: | |
| int*[] ptrIndex = new int*[3]; | |
| topNIndex(a, ptrIndex, Yes.sortOutput); | |
| assert(ptrIndex == [ &a[5], &a[1], &a[3] ]); | |
| } | |
| @system unittest | |
| { | |
| import std.conv : text; | |
| { | |
| int[] a = [ 10, 8, 9, 2, 4, 6, 7, 1, 3, 5 ]; | |
| int*[] b = new int*[5]; | |
| topNIndex!("a > b")(a, b, Yes.sortOutput); | |
| assert(b == [ &a[0], &a[2], &a[1], &a[6], &a[5]]); | |
| } | |
| { | |
| int[] a = [ 10, 8, 9, 2, 4, 6, 7, 1, 3, 5 ]; | |
| auto b = new ubyte[5]; | |
| topNIndex!("a > b")(a, b, Yes.sortOutput); | |
| assert(b == [ cast(ubyte) 0, cast(ubyte) 2, cast(ubyte) 1, cast(ubyte) 6, cast(ubyte) 5], text(b)); | |
| } | |
| } | |
| // medianOf | |
| /* | |
| Private for the time being. | |
| Computes the median of 2 to 5 arbitrary indexes in random-access range `r` | |
| using hand-written specialized algorithms. The indexes must be distinct (if not, | |
| behavior is implementation-defined). The function also partitions the elements | |
| involved around the median, e.g. `medianOf(r, a, b, c)` not only fills `r[b]` | |
| with the median of `r[a]`, `r[b]`, and `r[c]`, but also puts the minimum in | |
| `r[a]` and the maximum in `r[c]`. | |
| Params: | |
| less = The comparison predicate used, modeled as a | |
| $(LINK2 https://en.wikipedia.org/wiki/Weak_ordering#Strict_weak_orderings, strict weak ordering) | |
| (irreflexive, antisymmetric, transitive, and implying a transitive equivalence). | |
| flag = Used only for even values of `T.length`. If `No.leanRight`, the median | |
| "leans left", meaning `medianOf(r, a, b, c, d)` puts the lower median of the | |
| four in `r[b]`, the minimum in `r[a]`, and the two others in `r[c]` and `r[d]`. | |
| Conversely, `median!("a < b", Yes.leanRight)(r, a, b, c, d)` puts the upper | |
| median of the four in `r[c]`, the maximum in `r[d]`, and the two others in | |
| `r[a]` and `r[b]`. | |
| r = The range containing the indexes. | |
| i = Two to five indexes inside `r`. | |
| */ | |
| private void medianOf( | |
| alias less = "a < b", | |
| Flag!"leanRight" flag = No.leanRight, | |
| Range, | |
| Indexes...) | |
| (Range r, Indexes i) | |
| if (isRandomAccessRange!Range && hasLength!Range && | |
| Indexes.length >= 2 && Indexes.length <= 5 && | |
| allSatisfy!(isUnsigned, Indexes)) | |
| { | |
| assert(r.length >= Indexes.length, "r.length must be greater than or" | |
| ~ " equal to Indexes.length"); | |
| import std.functional : binaryFun; | |
| alias lt = binaryFun!less; | |
| enum k = Indexes.length; | |
| import std.algorithm.mutation : swapAt; | |
| import std.format : format; | |
| alias a = i[0]; | |
| static assert(is(typeof(a) == size_t), typeof(a).stringof ~ " must be" | |
| ~ " of type size_t"); | |
| static if (k >= 2) | |
| { | |
| alias b = i[1]; | |
| static assert(is(typeof(b) == size_t), typeof(b).stringof ~ " must be" | |
| ~ " of type size_t"); | |
| assert(a != b, "a != b "); | |
| } | |
| static if (k >= 3) | |
| { | |
| alias c = i[2]; | |
| static assert(is(typeof(c) == size_t), typeof(c).stringof ~ " must be" | |
| ~ " of type size_t"); | |
| assert(a != c && b != c, "a != c && b != c"); | |
| } | |
| static if (k >= 4) | |
| { | |
| alias d = i[3]; | |
| static assert(is(typeof(d) == size_t), typeof(d).stringof ~ " must be" | |
| ~ " of type size_t"); | |
| assert(a != d && b != d && c != d, "a != d && b != d && c != d failed"); | |
| } | |
| static if (k >= 5) | |
| { | |
| alias e = i[4]; | |
| static assert(is(typeof(e) == size_t), typeof(e).stringof ~ " must be" | |
| ~ " of type size_t"); | |
| assert(a != e && b != e && c != e && d != e, | |
| "a != e && b != e && c != e && d != e failed"); | |
| } | |
| static if (k == 2) | |
| { | |
| if (lt(r[b], r[a])) r.swapAt(a, b); | |
| } | |
| else static if (k == 3) | |
| { | |
| if (lt(r[c], r[a])) // c < a | |
| { | |
| if (lt(r[a], r[b])) // c < a < b | |
| { | |
| r.swapAt(a, b); | |
| r.swapAt(a, c); | |
| } | |
| else // c < a, b <= a | |
| { | |
| r.swapAt(a, c); | |
| if (lt(r[b], r[a])) r.swapAt(a, b); | |
| } | |
| } | |
| else // a <= c | |
| { | |
| if (lt(r[b], r[a])) // b < a <= c | |
| { | |
| r.swapAt(a, b); | |
| } | |
| else // a <= c, a <= b | |
| { | |
| if (lt(r[c], r[b])) r.swapAt(b, c); | |
| } | |
| } | |
| assert(!lt(r[b], r[a]), "less than check failed"); | |
| assert(!lt(r[c], r[b]), "less than check failed"); | |
| } | |
| else static if (k == 4) | |
| { | |
| static if (flag == No.leanRight) | |
| { | |
| // Eliminate the rightmost from the competition | |
| if (lt(r[d], r[c])) r.swapAt(c, d); // c <= d | |
| if (lt(r[d], r[b])) r.swapAt(b, d); // b <= d | |
| medianOf!lt(r, a, b, c); | |
| } | |
| else | |
| { | |
| // Eliminate the leftmost from the competition | |
| if (lt(r[b], r[a])) r.swapAt(a, b); // a <= b | |
| if (lt(r[c], r[a])) r.swapAt(a, c); // a <= c | |
| medianOf!lt(r, b, c, d); | |
| } | |
| } | |
| else static if (k == 5) | |
| { | |
| // Credit: Teppo Niinimäki | |
| version (StdUnittest) scope(success) | |
| { | |
| assert(!lt(r[c], r[a]), "less than check failed"); | |
| assert(!lt(r[c], r[b]), "less than check failed"); | |
| assert(!lt(r[d], r[c]), "less than check failed"); | |
| assert(!lt(r[e], r[c]), "less than check failed"); | |
| } | |
| if (lt(r[c], r[a])) r.swapAt(a, c); | |
| if (lt(r[d], r[b])) r.swapAt(b, d); | |
| if (lt(r[d], r[c])) | |
| { | |
| r.swapAt(c, d); | |
| r.swapAt(a, b); | |
| } | |
| if (lt(r[e], r[b])) r.swapAt(b, e); | |
| if (lt(r[e], r[c])) | |
| { | |
| r.swapAt(c, e); | |
| if (lt(r[c], r[a])) r.swapAt(a, c); | |
| } | |
| else | |
| { | |
| if (lt(r[c], r[b])) r.swapAt(b, c); | |
| } | |
| } | |
| } | |
| @safe unittest | |
| { | |
| // Verify medianOf for all permutations of [1, 2, 2, 3, 4]. | |
| int[5] data = [1, 2, 2, 3, 4]; | |
| do | |
| { | |
| int[5] a = data; | |
| medianOf(a[], size_t(0), size_t(1)); | |
| assert(a[0] <= a[1]); | |
| a[] = data[]; | |
| medianOf(a[], size_t(0), size_t(1), size_t(2)); | |
| assert(ordered(a[0], a[1], a[2])); | |
| a[] = data[]; | |
| medianOf(a[], size_t(0), size_t(1), size_t(2), size_t(3)); | |
| assert(a[0] <= a[1] && a[1] <= a[2] && a[1] <= a[3]); | |
| a[] = data[]; | |
| medianOf!("a < b", Yes.leanRight)(a[], size_t(0), size_t(1), | |
| size_t(2), size_t(3)); | |
| assert(a[0] <= a[2] && a[1] <= a[2] && a[2] <= a[3]); | |
| a[] = data[]; | |
| medianOf(a[], size_t(0), size_t(1), size_t(2), size_t(3), size_t(4)); | |
| assert(a[0] <= a[2] && a[1] <= a[2] && a[2] <= a[3] && a[2] <= a[4]); | |
| } | |
| while (nextPermutation(data[])); | |
| } | |
| // nextPermutation | |
| /** | |
| * Permutes `range` in-place to the next lexicographically greater | |
| * permutation. | |
| * | |
| * The predicate `less` defines the lexicographical ordering to be used on | |
| * the range. | |
| * | |
| * If the range is currently the lexicographically greatest permutation, it is | |
| * permuted back to the least permutation and false is returned. Otherwise, | |
| * true is returned. One can thus generate all permutations of a range by | |
| * sorting it according to `less`, which produces the lexicographically | |
| * least permutation, and then calling nextPermutation until it returns false. | |
| * This is guaranteed to generate all distinct permutations of the range | |
| * exactly once. If there are $(I N) elements in the range and all of them are | |
| * unique, then $(I N)! permutations will be generated. Otherwise, if there are | |
| * some duplicated elements, fewer permutations will be produced. | |
| ---- | |
| // Enumerate all permutations | |
| int[] a = [1,2,3,4,5]; | |
| do | |
| { | |
| // use the current permutation and | |
| // proceed to the next permutation of the array. | |
| } while (nextPermutation(a)); | |
| ---- | |
| * Params: | |
| * less = The ordering to be used to determine lexicographical ordering of the | |
| * permutations. | |
| * range = The range to permute. | |
| * | |
| * Returns: false if the range was lexicographically the greatest, in which | |
| * case the range is reversed back to the lexicographically smallest | |
| * permutation; otherwise returns true. | |
| * See_Also: | |
| * $(REF permutations, std,algorithm,iteration). | |
| */ | |
| bool nextPermutation(alias less="a < b", BidirectionalRange) | |
| (BidirectionalRange range) | |
| if (isBidirectionalRange!BidirectionalRange && | |
| hasSwappableElements!BidirectionalRange) | |
| { | |
| import std.algorithm.mutation : reverse, swap; | |
| import std.algorithm.searching : find; | |
| import std.range : retro, takeExactly; | |
| // Ranges of 0 or 1 element have no distinct permutations. | |
| if (range.empty) return false; | |
| auto i = retro(range); | |
| auto last = i.save; | |
| // Find last occurring increasing pair of elements | |
| size_t n = 1; | |
| for (i.popFront(); !i.empty; i.popFront(), last.popFront(), n++) | |
| { | |
| if (binaryFun!less(i.front, last.front)) | |
| break; | |
| } | |
| if (i.empty) | |
| { | |
| // Entire range is decreasing: it's lexicographically the greatest. So | |
| // wrap it around. | |
| range.reverse(); | |
| return false; | |
| } | |
| // Find last element greater than i.front. | |
| auto j = find!((a) => binaryFun!less(i.front, a))( | |
| takeExactly(retro(range), n)); | |
| assert(!j.empty, "j must not be empty"); // shouldn't happen since i.front < last.front | |
| swap(i.front, j.front); | |
| reverse(takeExactly(retro(range), n)); | |
| return true; | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| // Step through all permutations of a sorted array in lexicographic order | |
| int[] a = [1,2,3]; | |
| assert(nextPermutation(a) == true); | |
| assert(a == [1,3,2]); | |
| assert(nextPermutation(a) == true); | |
| assert(a == [2,1,3]); | |
| assert(nextPermutation(a) == true); | |
| assert(a == [2,3,1]); | |
| assert(nextPermutation(a) == true); | |
| assert(a == [3,1,2]); | |
| assert(nextPermutation(a) == true); | |
| assert(a == [3,2,1]); | |
| assert(nextPermutation(a) == false); | |
| assert(a == [1,2,3]); | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| // Step through permutations of an array containing duplicate elements: | |
| int[] a = [1,1,2]; | |
| assert(nextPermutation(a) == true); | |
| assert(a == [1,2,1]); | |
| assert(nextPermutation(a) == true); | |
| assert(a == [2,1,1]); | |
| assert(nextPermutation(a) == false); | |
| assert(a == [1,1,2]); | |
| } | |
| @safe unittest | |
| { | |
| // Boundary cases: arrays of 0 or 1 element. | |
| int[] a1 = []; | |
| assert(!nextPermutation(a1)); | |
| assert(a1 == []); | |
| int[] a2 = [1]; | |
| assert(!nextPermutation(a2)); | |
| assert(a2 == [1]); | |
| } | |
| @safe unittest | |
| { | |
| import std.algorithm.comparison : equal; | |
| auto a1 = [1, 2, 3, 4]; | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [1, 2, 4, 3])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [1, 3, 2, 4])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [1, 3, 4, 2])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [1, 4, 2, 3])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [1, 4, 3, 2])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [2, 1, 3, 4])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [2, 1, 4, 3])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [2, 3, 1, 4])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [2, 3, 4, 1])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [2, 4, 1, 3])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [2, 4, 3, 1])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [3, 1, 2, 4])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [3, 1, 4, 2])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [3, 2, 1, 4])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [3, 2, 4, 1])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [3, 4, 1, 2])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [3, 4, 2, 1])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [4, 1, 2, 3])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [4, 1, 3, 2])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [4, 2, 1, 3])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [4, 2, 3, 1])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [4, 3, 1, 2])); | |
| assert(nextPermutation(a1)); | |
| assert(equal(a1, [4, 3, 2, 1])); | |
| assert(!nextPermutation(a1)); | |
| assert(equal(a1, [1, 2, 3, 4])); | |
| } | |
| @safe unittest | |
| { | |
| // Test with non-default sorting order | |
| int[] a = [3,2,1]; | |
| assert(nextPermutation!"a > b"(a) == true); | |
| assert(a == [3,1,2]); | |
| assert(nextPermutation!"a > b"(a) == true); | |
| assert(a == [2,3,1]); | |
| assert(nextPermutation!"a > b"(a) == true); | |
| assert(a == [2,1,3]); | |
| assert(nextPermutation!"a > b"(a) == true); | |
| assert(a == [1,3,2]); | |
| assert(nextPermutation!"a > b"(a) == true); | |
| assert(a == [1,2,3]); | |
| assert(nextPermutation!"a > b"(a) == false); | |
| assert(a == [3,2,1]); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=13594 | |
| @safe unittest | |
| { | |
| int[3] a = [1,2,3]; | |
| assert(nextPermutation(a[])); | |
| assert(a == [1,3,2]); | |
| } | |
| // nextEvenPermutation | |
| /** | |
| * Permutes `range` in-place to the next lexicographically greater $(I even) | |
| * permutation. | |
| * | |
| * The predicate `less` defines the lexicographical ordering to be used on | |
| * the range. | |
| * | |
| * An even permutation is one which is produced by swapping an even number of | |
| * pairs of elements in the original range. The set of $(I even) permutations | |
| * is distinct from the set of $(I all) permutations only when there are no | |
| * duplicate elements in the range. If the range has $(I N) unique elements, | |
| * then there are exactly $(I N)!/2 even permutations. | |
| * | |
| * If the range is already the lexicographically greatest even permutation, it | |
| * is permuted back to the least even permutation and false is returned. | |
| * Otherwise, true is returned, and the range is modified in-place to be the | |
| * lexicographically next even permutation. | |
| * | |
| * One can thus generate the even permutations of a range with unique elements | |
| * by starting with the lexicographically smallest permutation, and repeatedly | |
| * calling nextEvenPermutation until it returns false. | |
| ---- | |
| // Enumerate even permutations | |
| int[] a = [1,2,3,4,5]; | |
| do | |
| { | |
| // use the current permutation and | |
| // proceed to the next even permutation of the array. | |
| } while (nextEvenPermutation(a)); | |
| ---- | |
| * One can also generate the $(I odd) permutations of a range by noting that | |
| * permutations obey the rule that even + even = even, and odd + even = odd. | |
| * Thus, by swapping the last two elements of a lexicographically least range, | |
| * it is turned into the first odd permutation. Then calling | |
| * nextEvenPermutation on this first odd permutation will generate the next | |
| * even permutation relative to this odd permutation, which is actually the | |
| * next odd permutation of the original range. Thus, by repeatedly calling | |
| * nextEvenPermutation until it returns false, one enumerates the odd | |
| * permutations of the original range. | |
| ---- | |
| // Enumerate odd permutations | |
| int[] a = [1,2,3,4,5]; | |
| swap(a[$-2], a[$-1]); // a is now the first odd permutation of [1,2,3,4,5] | |
| do | |
| { | |
| // use the current permutation and | |
| // proceed to the next odd permutation of the original array | |
| // (which is an even permutation of the first odd permutation). | |
| } while (nextEvenPermutation(a)); | |
| ---- | |
| * | |
| * Warning: Since even permutations are only distinct from all permutations | |
| * when the range elements are unique, this function assumes that there are no | |
| * duplicate elements under the specified ordering. If this is not _true, some | |
| * permutations may fail to be generated. When the range has non-unique | |
| * elements, you should use $(MYREF nextPermutation) instead. | |
| * | |
| * Params: | |
| * less = The ordering to be used to determine lexicographical ordering of the | |
| * permutations. | |
| * range = The range to permute. | |
| * | |
| * Returns: false if the range was lexicographically the greatest, in which | |
| * case the range is reversed back to the lexicographically smallest | |
| * permutation; otherwise returns true. | |
| */ | |
| bool nextEvenPermutation(alias less="a < b", BidirectionalRange) | |
| (BidirectionalRange range) | |
| if (isBidirectionalRange!BidirectionalRange && | |
| hasSwappableElements!BidirectionalRange) | |
| { | |
| import std.algorithm.mutation : reverse, swap; | |
| import std.algorithm.searching : find; | |
| import std.range : retro, takeExactly; | |
| // Ranges of 0 or 1 element have no distinct permutations. | |
| if (range.empty) return false; | |
| bool oddParity = false; | |
| bool ret = true; | |
| do | |
| { | |
| auto i = retro(range); | |
| auto last = i.save; | |
| // Find last occurring increasing pair of elements | |
| size_t n = 1; | |
| for (i.popFront(); !i.empty; | |
| i.popFront(), last.popFront(), n++) | |
| { | |
| if (binaryFun!less(i.front, last.front)) | |
| break; | |
| } | |
| if (!i.empty) | |
| { | |
| // Find last element greater than i.front. | |
| auto j = find!((a) => binaryFun!less(i.front, a))( | |
| takeExactly(retro(range), n)); | |
| // shouldn't happen since i.front < last.front | |
| assert(!j.empty, "j must not be empty"); | |
| swap(i.front, j.front); | |
| oddParity = !oddParity; | |
| } | |
| else | |
| { | |
| // Entire range is decreasing: it's lexicographically | |
| // the greatest. | |
| ret = false; | |
| } | |
| reverse(takeExactly(retro(range), n)); | |
| if ((n / 2) % 2 == 1) | |
| oddParity = !oddParity; | |
| } while (oddParity); | |
| return ret; | |
| } | |
| /// | |
| @safe unittest | |
| { | |
| // Step through even permutations of a sorted array in lexicographic order | |
| int[] a = [1,2,3]; | |
| assert(nextEvenPermutation(a) == true); | |
| assert(a == [2,3,1]); | |
| assert(nextEvenPermutation(a) == true); | |
| assert(a == [3,1,2]); | |
| assert(nextEvenPermutation(a) == false); | |
| assert(a == [1,2,3]); | |
| } | |
| @safe unittest | |
| { | |
| auto a3 = [ 1, 2, 3, 4 ]; | |
| int count = 1; | |
| while (nextEvenPermutation(a3)) count++; | |
| assert(count == 12); | |
| } | |
| @safe unittest | |
| { | |
| // Test with non-default sorting order | |
| auto a = [ 3, 2, 1 ]; | |
| assert(nextEvenPermutation!"a > b"(a) == true); | |
| assert(a == [ 2, 1, 3 ]); | |
| assert(nextEvenPermutation!"a > b"(a) == true); | |
| assert(a == [ 1, 3, 2 ]); | |
| assert(nextEvenPermutation!"a > b"(a) == false); | |
| assert(a == [ 3, 2, 1 ]); | |
| } | |
| @safe unittest | |
| { | |
| // Test various cases of rollover | |
| auto a = [ 3, 1, 2 ]; | |
| assert(nextEvenPermutation(a) == false); | |
| assert(a == [ 1, 2, 3 ]); | |
| auto b = [ 3, 2, 1 ]; | |
| assert(nextEvenPermutation(b) == false); | |
| assert(b == [ 1, 3, 2 ]); | |
| } | |
| // https://issues.dlang.org/show_bug.cgi?id=13594 | |
| @safe unittest | |
| { | |
| int[3] a = [1,2,3]; | |
| assert(nextEvenPermutation(a[])); | |
| assert(a == [2,3,1]); | |
| } | |
| /** | |
| Even permutations are useful for generating coordinates of certain geometric | |
| shapes. Here's a non-trivial example: | |
| */ | |
| @safe unittest | |
| { | |
| import std.math.algebraic : sqrt; | |
| // Print the 60 vertices of a uniform truncated icosahedron (soccer ball) | |
| enum real Phi = (1.0 + sqrt(5.0)) / 2.0; // Golden ratio | |
| real[][] seeds = [ | |
| [0.0, 1.0, 3.0*Phi], | |
| [1.0, 2.0+Phi, 2.0*Phi], | |
| [Phi, 2.0, Phi^^3] | |
| ]; | |
| size_t n; | |
| foreach (seed; seeds) | |
| { | |
| // Loop over even permutations of each seed | |
| do | |
| { | |
| // Loop over all sign changes of each permutation | |
| size_t i; | |
| do | |
| { | |
| // Generate all possible sign changes | |
| for (i=0; i < seed.length; i++) | |
| { | |
| if (seed[i] != 0.0) | |
| { | |
| seed[i] = -seed[i]; | |
| if (seed[i] < 0.0) | |
| break; | |
| } | |
| } | |
| n++; | |
| } while (i < seed.length); | |
| } while (nextEvenPermutation(seed)); | |
| } | |
| assert(n == 60); | |
| } | |
| /** | |
| Permutes `range` into the `perm` permutation. | |
| The algorithm has a constant runtime complexity with respect to the number of | |
| permutations created. | |
| Due to the number of unique values of `ulong` only the first 21 elements of | |
| `range` can be permuted. The rest of the range will therefore not be | |
| permuted. | |
| This algorithm uses the $(HTTP en.wikipedia.org/wiki/Lehmer_code, Lehmer | |
| Code). | |
| The algorithm works as follows: | |
| $(D_CODE | |
| auto pem = [4,0,4,1,0,0,0]; // permutation 2982 in factorial | |
| auto src = [0,1,2,3,4,5,6]; // the range to permutate | |
| auto i = 0; // range index | |
| // range index iterates pem and src in sync | |
| // pem[i] + i is used as index into src | |
| // first src[pem[i] + i] is stored in t | |
| auto t = 4; // tmp value | |
| src = [0,1,2,3,n,5,6]; | |
| // then the values between i and pem[i] + i are moved one | |
| // to the right | |
| src = [n,0,1,2,3,5,6]; | |
| // at last t is inserted into position i | |
| src = [4,0,1,2,3,5,6]; | |
| // finally i is incremented | |
| ++i; | |
| // this process is repeated while i < pem.length | |
| t = 0; | |
| src = [4,n,1,2,3,5,6]; | |
| src = [4,0,1,2,3,5,6]; | |
| ++i; | |
| t = 6; | |
| src = [4,0,1,2,3,5,n]; | |
| src = [4,0,n,1,2,3,5]; | |
| src = [4,0,6,1,2,3,5]; | |
| ) | |
| Returns: | |
| The permuted range. | |
| Params: | |
| range = The Range to permute. The original ordering will be lost. | |
| perm = The permutation to permutate `range` to. | |
| */ | |
| auto ref Range nthPermutation(Range) | |
| (auto ref Range range, const ulong perm) | |
| if (isRandomAccessRange!Range && hasLength!Range) | |
| { | |
| if (!nthPermutationImpl(range, perm)) | |
| { | |
| throw new Exception( | |
| "The range to permutate must not have less" | |
| ~ " elements than the factorial number has digits"); | |
| } | |
| return range; | |
| } | |
| /// | |
| pure @safe unittest | |
| { | |
| auto src = [0, 1, 2, 3, 4, 5, 6]; | |
| auto rslt = [4, 0, 6, 2, 1, 3, 5]; | |
| src = nthPermutation(src, 2982); | |
| assert(src == rslt); | |
| } | |
| /** | |
| Returns: `true` in case the permutation worked, `false` in case `perm` had | |
| more digits in the factorial number system than range had elements. | |
| This case must not occur as this would lead to out of range accesses. | |
| */ | |
| bool nthPermutationImpl(Range) | |
| (auto ref Range range, ulong perm) | |
| if (isRandomAccessRange!Range && hasLength!Range) | |
| { | |
| import std.range.primitives : ElementType; | |
| import std.numeric : decimalToFactorial; | |
| // ulong.max has 21 digits in the factorial number system | |
| ubyte[21] fac; | |
| size_t idx = decimalToFactorial(perm, fac); | |
| if (idx > range.length) | |
| { | |
| return false; | |
| } | |
| ElementType!Range tmp; | |
| size_t i = 0; | |
| for (; i < idx; ++i) | |
| { | |
| size_t re = fac[i]; | |
| tmp = range[re + i]; | |
| for (size_t j = re + i; j > i; --j) | |
| { | |
| range[j] = range[j - 1]; | |
| } | |
| range[i] = tmp; | |
| } | |
| return true; | |
| } | |
| /// | |
| pure @safe unittest | |
| { | |
| auto src = [0, 1, 2, 3, 4, 5, 6]; | |
| auto rslt = [4, 0, 6, 2, 1, 3, 5]; | |
| bool worked = nthPermutationImpl(src, 2982); | |
| assert(worked); | |
| assert(src == rslt); | |
| } | |
| pure @safe unittest | |
| { | |
| auto rslt = [4, 0, 6, 2, 1, 3, 5]; | |
| auto src = nthPermutation([0, 1, 2, 3, 4, 5, 6], 2982); | |
| assert(src == rslt); | |
| } | |
| pure @safe unittest | |
| { | |
| auto src = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; | |
| auto rslt = [4, 0, 6, 2, 1, 3, 5, 7, 8, 9, 10]; | |
| src = nthPermutation(src, 2982); | |
| assert(src == rslt); | |
| } | |
| pure @safe unittest | |
| { | |
| import std.exception : assertThrown; | |
| auto src = [0, 1, 2, 3]; | |
| assertThrown(nthPermutation(src, 2982)); | |
| } | |
| pure @safe unittest | |
| { | |
| import std.internal.test.dummyrange; | |
| import std.meta : AliasSeq; | |
| auto src = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; | |
| auto rsl = [4, 0, 6, 2, 1, 3, 5, 7, 8, 9, 10]; | |
| foreach (T; AliasSeq!( | |
| DummyRange!(ReturnBy.Reference, Length.Yes, RangeType.Random, int[]), | |
| DummyRange!(ReturnBy.Value, Length.Yes, RangeType.Random, int[]))) | |
| { | |
| static assert(isRandomAccessRange!(T)); | |
| static assert(hasLength!(T)); | |
| auto dr = T(src.dup); | |
| dr = nthPermutation(dr, 2982); | |
| int idx; | |
| foreach (it; dr) | |
| { | |
| assert(it == rsl[idx++]); | |
| } | |
| } | |
| } |