# # # Nim's Runtime Library # (c) Copyright 2015 Andreas Rumpf # # See the file "copying.txt", included in this # distribution, for details about the copyright. # ## This module implements some common generic algorithms. type SortOrder* = enum ## sort order Descending, Ascending proc `*`*(x: int, order: SortOrder): int {.inline.} = ## flips `x` if ``order == Descending``; ## if ``order == Ascending`` then `x` is returned. ## `x` is supposed to be the result of a comparator, ie ``< 0`` for ## *less than*, ``== 0`` for *equal*, ``> 0`` for *greater than*. var y = order.ord - 1 result = (x xor y) - y template fillImpl[T](a: var openArray[T], first, last: int, value: T) = var x = first while x <= last: a[x] = value inc(x) proc fill*[T](a: var openArray[T], first, last: Natural, value: T) = ## fills the array ``a[first..last]`` with `value`. fillImpl(a, first, last, value) proc fill*[T](a: var openArray[T], value: T) = ## fills the array `a` with `value`. fillImpl(a, 0, a.high, value) proc reverse*[T](a: var openArray[T], first, last: Natural) = ## reverses the array ``a[first..last]``. var x = first var y = last while x < y: swap(a[x], a[y]) dec(y) inc(x) proc reverse*[T](a: var openArray[T]) = ## reverses the array `a`. reverse(a, 0, max(0, a.high)) proc reversed*[T](a: openArray[T], first: Natural, last: int): seq[T] = ## returns the reverse of the array `a[first..last]`. assert last >= first-1 var i = last - first var x = first.int result = newSeq[T](i + 1) while i >= 0: result[i] = a[x] dec(i) inc(x) proc reversed*[T](a: openArray[T]): seq[T] = ## returns the reverse of the array `a`. reversed(a, 0, a.high) proc binarySearch*[T, K](a: openArray[T], key: K, cmp: proc (x: T, y: K): int {.closure.}): int = ## binary search for `key` in `a`. Returns -1 if not found. ## ## `cmp` is the comparator function to use, the expected return values are ## the same as that of system.cmp. if a.len == 0: return -1 let len = a.len if len == 1: if cmp(a[0], key) == 0: return 0 else: return -1 if (len and (len - 1)) == 0: # when `len` is a power of 2, a faster shr can be used. var step = len shr 1 var cmpRes: int while step > 0: let i = result or step cmpRes = cmp(a[i], key) if cmpRes == 0: return i if cmpRes < 1: result = i step = step shr 1 if cmp(a[result], key) != 0: result = -1 else: var b = len var cmpRes: int while result < b: var mid = (result + b) shr 1 cmpRes = cmp(a[mid], key) if cmpRes == 0: return mid if cmpRes < 0: result = mid + 1 else: b = mid if result >= len or cmp(a[result], key) != 0: result = -1 proc binarySearch*[T](a: openArray[T], key: T): int = ## binary search for `key` in `a`. Returns -1 if not found. binarySearch(a, key, cmp[T]) proc smartBinarySearch*[T](a: openArray[T], key: T): int {.deprecated.} = ## **Deprecated since version 0.18.1**; Use ``binarySearch`` instead. binarySearch(a, key, cmp[T]) const onlySafeCode = true proc lowerBound*[T, K](a: openArray[T], key: K, cmp: proc(x: T, k: K): int {.closure.}): int = ## Returns a position to the first element in the `a` that is greater than `key`, or last ## if no such element is found. In other words if you have a sorted sequence and you call ## insert(thing, elm, lowerBound(thing, elm)) ## the sequence will still be sorted. ## ## The first version uses `cmp` to compare the elements. The expected return values are ## the same as that of system.cmp. ## The second version uses the default comparison function `cmp`. ## ## example:: ## ## var arr = @[1,2,3,5,6,7,8,9] ## arr.insert(4, arr.lowerBound(4)) ## # after running the above arr is `[1,2,3,4,5,6,7,8,9]` result = a.low var count = a.high - a.low + 1 var step, pos: int while count != 0: step = count shr 1 pos = result + step if cmp(a[pos], key) < 0: result = pos + 1 count -= step + 1 else: count = step proc lowerBound*[T](a: openArray[T], key: T): int = lowerBound(a, key, cmp[T]) proc upperBound*[T, K](a: openArray[T], key: K, cmp: proc(x: T, k: K): int {.closure.}): int = ## Returns a position to the first element in the `a` that is not less ## (i.e. greater or equal to) than `key`, or last if no such element is found. ## In other words if you have a sorted sequence and you call ## insert(thing, elm, upperBound(thing, elm)) ## the sequence will still be sorted. ## ## The first version uses `cmp` to compare the elements. The expected return values are ## the same as that of system.cmp. ## The second version uses the default comparison function `cmp`. ## ## example:: ## ## var arr = @[1,2,3,4,6,7,8,9] ## arr.insert(5, arr.upperBound(4)) ## # after running the above arr is `[1,2,3,4,5,6,7,8,9]` result = a.low var count = a.high - a.low + 1 var step, pos: int while count != 0: step = count shr 1 pos = result + step if cmp(a[pos], key) <= 0: result = pos + 1 count -= step + 1 else: count = step proc upperBound*[T](a: openArray[T], key: T): int = upperBound(a, key, cmp[T]) template `<-` (a, b) = when false: a = b elif onlySafeCode: shallowCopy(a, b) else: copyMem(addr(a), addr(b), sizeof(T)) proc merge[T](a, b: var openArray[T], lo, m, hi: int, cmp: proc (x, y: T): int {.closure.}, order: SortOrder) = # optimization: If max(left) <= min(right) there is nothing to do! # 1 2 3 4 ## 5 6 7 8 # -> O(n) for sorted arrays. # On random data this safes up to 40% of merge calls if cmp(a[m], a[m+1]) * order <= 0: return var j = lo # copy a[j..m] into b: assert j <= m when onlySafeCode: var bb = 0 while j <= m: b[bb] <- a[j] inc(bb) inc(j) else: copyMem(addr(b[0]), addr(a[j]), sizeof(T)*(m-j+1)) j = m+1 var i = 0 var k = lo # copy proper element back: while k < j and j <= hi: if cmp(b[i], a[j]) * order <= 0: a[k] <- b[i] inc(i) else: a[k] <- a[j] inc(j) inc(k) # copy rest of b: when onlySafeCode: while k < j: a[k] <- b[i] inc(k) inc(i) else: if k < j: copyMem(addr(a[k]), addr(b[i]), sizeof(T)*(j-k)) proc sort*[T](a: var openArray[T], cmp: proc (x, y: T): int {.closure.}, order = SortOrder.Ascending) = ## Default Nim sort (an implementation of merge sort). The sorting ## is guaranteed to be stable and the worst case is guaranteed to ## be O(n log n). ## The current implementation uses an iterative ## mergesort to achieve this. It uses a temporary sequence of ## length ``a.len div 2``. Currently Nim does not support a ## sensible default argument for ``cmp``, so you have to provide one ## of your own. However, the ``system.cmp`` procs can be used: ## ## .. code-block:: nim ## ## sort(myIntArray, system.cmp[int]) ## ## # do not use cmp[string] here as we want to use the specialized ## # overload: ## sort(myStrArray, system.cmp) ## ## You can inline adhoc comparison procs with the `do notation ## `_. Example: ## ## .. code-block:: nim ## ## people.sort do (x, y: Person) -> int: ## result = cmp(x.surname, y.surname) ## if result == 0: ## result = cmp(x.name, y.name) var n = a.len var b: seq[T] newSeq(b, n div 2) var s = 1 while s < n: var m = n-1-s while m >= 0: merge(a, b, max(m-s+1, 0), m, m+s, cmp, order) dec(m, s*2) s = s*2 proc sorted*[T](a: openArray[T], cmp: proc(x, y: T): int {.closure.}, order = SortOrder.Ascending): seq[T] = ## returns `a` sorted by `cmp` in the specified `order`. result = newSeq[T](a.len) for i in 0 .. a.high: result[i] = a[i] sort(result, cmp, order) template sortedByIt*(seq1, op: untyped): untyped = ## Convenience template around the ``sorted`` proc to reduce typing. ## ## The template injects the ``it`` variable which you can use directly in an ## expression. Example: ## ## .. code-block:: nim ## ## type Person = tuple[name: string, age: int] ## var ## p1: Person = (name: "p1", age: 60) ## p2: Person = (name: "p2", age: 20) ## p3: Person = (name: "p3", age: 30) ## p4: Person = (name: "p4", age: 30) ## people = @[p1,p2,p4,p3] ## ## echo people.sortedByIt(it.name) ## ## Because the underlying ``cmp()`` is defined for tuples you can do ## a nested sort like in the following example: ## ## .. code-block:: nim ## ## echo people.sortedByIt((it.age, it.name)) ## var result = sorted(seq1, proc(x, y: type(seq1[0])): int = var it {.inject.} = x let a = op it = y let b = op result = cmp(a, b)) result proc isSorted*[T](a: openarray[T], cmp: proc(x, y: T): int {.closure.}, order = SortOrder.Ascending): bool = ## Checks to see whether `a` is already sorted in `order` ## using `cmp` for the comparison. Parameters identical ## to `sort` result = true for i in 0.. 0: return false proc product*[T](x: openArray[seq[T]]): seq[seq[T]] = ## produces the Cartesian product of the array. Warning: complexity ## may explode. result = newSeq[seq[T]]() if x.len == 0: return if x.len == 1: result = @x return var indexes = newSeq[int](x.len) initial = newSeq[int](x.len) index = 0 var next = newSeq[T]() next.setLen(x.len) for i in 0..(x.len-1): if len(x[i]) == 0: return initial[i] = len(x[i])-1 indexes = initial while true: while indexes[index] == -1: indexes[index] = initial[index] index += 1 if index == x.len: return indexes[index] -= 1 for ni, i in indexes: next[ni] = x[ni][i] var res: seq[T] shallowCopy(res, next) result.add(res) index = 0 indexes[index] -= 1 proc nextPermutation*[T](x: var openarray[T]): bool {.discardable.} = ## Calculates the next lexicographic permutation, directly modifying ``x``. ## The result is whether a permutation happened, otherwise we have reached ## the last-ordered permutation. ## ## .. code-block:: nim ## ## var v = @[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] ## v.nextPermutation() ## echo v # @[0, 1, 2, 3, 4, 5, 6, 7, 9, 8] if x.len < 2: return false var i = x.high while i > 0 and x[i-1] >= x[i]: dec i if i == 0: return false var j = x.high while j >= i and x[j] <= x[i-1]: dec j swap x[j], x[i-1] x.reverse(i, x.high) result = true proc prevPermutation*[T](x: var openarray[T]): bool {.discardable.} = ## Calculates the previous lexicographic permutation, directly modifying ## ``x``. The result is whether a permutation happened, otherwise we have ## reached the first-ordered permutation. ## ## .. code-block:: nim ## ## var v = @[0, 1, 2, 3, 4, 5, 6, 7, 9, 8] ## v.prevPermutation() ## echo v # @[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] if x.len < 2: return false var i = x.high while i > 0 and x[i-1] <= x[i]: dec i if i == 0: return false x.reverse(i, x.high) var j = x.high while j >= i and x[j-1] < x[i-1]: dec j swap x[i-1], x[j] result = true when isMainModule: # Tests for lowerBound var arr = @[1,2,3,5,6,7,8,9] assert arr.lowerBound(0) == 0 assert arr.lowerBound(4) == 3 assert arr.lowerBound(5) == 3 assert arr.lowerBound(10) == 8 arr = @[1,5,10] assert arr.lowerBound(4) == 1 assert arr.lowerBound(5) == 1 assert arr.lowerBound(6) == 2 # Tests for isSorted var srt1 = [1,2,3,4,4,4,4,5] var srt2 = ["iello","hello"] var srt3 = [1.0,1.0,1.0] var srt4: seq[int] assert srt1.isSorted(cmp) == true assert srt2.isSorted(cmp) == false assert srt3.isSorted(cmp) == true assert srt4.isSorted(cmp) == true var srtseq = newSeq[int]() assert srtseq.isSorted(cmp) == true # Tests for reversed var arr1 = @[0,1,2,3,4] assert arr1.reversed() == @[4,3,2,1,0] for i in 0 .. high(arr1): assert arr1.reversed(0, i) == arr1.reversed()[high(arr1) - i .. high(arr1)] assert arr1.reversed(i, high(arr1)) == arr1.reversed()[0 .. high(arr1) - i] proc rotateInternal[T](arg: var openarray[T]; first, middle, last: int): int = ## A port of std::rotate from c++. Ported from `this reference `_. result = first + last - middle if first == middle or middle == last: return assert first < middle assert middle < last # m prefix for mutable var mFirst = first mMiddle = middle next = middle swap(arg[mFirst], arg[next]) mFirst += 1 next += 1 if mFirst == mMiddle: mMiddle = next while next != last: swap(arg[mFirst], arg[next]) mFirst += 1 next += 1 if mFirst == mMiddle: mMiddle = next next = mMiddle while next != last: swap(arg[mFirst], arg[next]) mFirst += 1 next += 1 if mFirst == mMiddle: mMiddle = next elif next == last: next = mMiddle proc rotatedInternal[T](arg: openarray[T]; first, middle, last: int): seq[T] = result = newSeq[T](arg.len) for i in 0 ..< first: result[i] = arg[i] let N = last - middle let M = middle - first for i in 0 ..< N: result[first+i] = arg[middle+i] for i in 0 ..< M: result[first+N+i] = arg[first+i] for i in last ..< arg.len: result[i] = arg[i] proc rotateLeft*[T](arg: var openarray[T]; slice: HSlice[int, int]; dist: int): int = ## Performs a left rotation on a range of elements. If you want to rotate right, use a negative ``dist``. ## Specifically, ``rotateLeft`` rotates the elements at ``slice`` by ``dist`` positions. ## The element at index ``slice.a + dist`` will be at index ``slice.a``. ## The element at index ``slice.b`` will be at ``slice.a + dist -1``. ## The element at index ``slice.a`` will be at ``slice.b + 1 - dist``. ## The element at index ``slice.a + dist - 1`` will be at ``slice.b``. # ## Elements outsize of ``slice`` will be left unchanged. ## The time complexity is linear to ``slice.b - slice.a + 1``. ## ## ``slice`` ## the indices of the element range that should be rotated. ## ## ``dist`` ## the distance in amount of elements that the data should be rotated. Can be negative, can be any number. ## ## .. code-block:: nim ## var list = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] ## list.rotateLeft(1 .. 8, 3) ## doAssert list == [0, 4, 5, 6, 7, 8, 1, 2, 3, 9, 10] let sliceLen = slice.b + 1 - slice.a let distLeft = ((dist mod sliceLen) + sliceLen) mod sliceLen arg.rotateInternal(slice.a, slice.a+distLeft, slice.b + 1) proc rotateLeft*[T](arg: var openarray[T]; dist: int): int = ## default arguments for slice, so that this procedure operates on the entire ## ``arg``, and not just on a part of it. let arglen = arg.len let distLeft = ((dist mod arglen) + arglen) mod arglen arg.rotateInternal(0, distLeft, arglen) proc rotatedLeft*[T](arg: openarray[T]; slice: HSlice[int, int], dist: int): seq[T] = ## same as ``rotateLeft``, just with the difference that it does ## not modify the argument. It creates a new ``seq`` instead let sliceLen = slice.b + 1 - slice.a let distLeft = ((dist mod sliceLen) + sliceLen) mod sliceLen arg.rotatedInternal(slice.a, slice.a+distLeft, slice.b+1) proc rotatedLeft*[T](arg: openarray[T]; dist: int): seq[T] = ## same as ``rotateLeft``, just with the difference that it does ## not modify the argument. It creates a new ``seq`` instead let arglen = arg.len let distLeft = ((dist mod arglen) + arglen) mod arglen arg.rotatedInternal(0, distLeft, arg.len) when isMainModule: var list = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] let list2 = list.rotatedLeft(1 ..< 9, 3) let expected = [0, 4, 5, 6, 7, 8, 1, 2, 3, 9, 10] doAssert list.rotateLeft(1 ..< 9, 3) == 6 doAssert list == expected doAssert list2 == @expected var s0,s1,s2,s3,s4,s5 = "xxxabcdefgxxx" doAssert s0.rotateLeft(3 ..< 10, 3) == 7 doAssert s0 == "xxxdefgabcxxx" doAssert s1.rotateLeft(3 ..< 10, 2) == 8 doAssert s1 == "xxxcdefgabxxx" doAssert s2.rotateLeft(3 ..< 10, 4) == 6 doAssert s2 == "xxxefgabcdxxx" doAssert s3.rotateLeft(3 ..< 10, -3) == 6 doAssert s3 == "xxxefgabcdxxx" doAssert s4.rotateLeft(3 ..< 10, -10) == 6 doAssert s4 == "xxxefgabcdxxx" doAssert s5.rotateLeft(3 ..< 10, 11) == 6 doAssert s5 == "xxxefgabcdxxx" block product: doAssert product(newSeq[seq[int]]()) == newSeq[seq[int]](), "empty input" doAssert product(@[newSeq[int](), @[], @[]]) == newSeq[seq[int]](), "bit more empty input" doAssert product(@[@[1,2]]) == @[@[1,2]], "a simple case of one element" doAssert product(@[@[1,2], @[3,4]]) == @[@[2,4],@[1,4],@[2,3],@[1,3]], "two elements" doAssert product(@[@[1,2], @[3,4], @[5,6]]) == @[@[2,4,6],@[1,4,6],@[2,3,6],@[1,3,6], @[2,4,5],@[1,4,5],@[2,3,5],@[1,3,5]], "three elements" doAssert product(@[@[1,2], @[]]) == newSeq[seq[int]](), "two elements, but one empty" block lowerBound: doAssert lowerBound([1,2,4], 3, system.cmp[int]) == 2 doAssert lowerBound([1,2,2,3], 4, system.cmp[int]) == 4 doAssert lowerBound([1,2,3,10], 11) == 4 block upperBound: doAssert upperBound([1,2,4], 3, system.cmp[int]) == 2 doAssert upperBound([1,2,2,3], 3, system.cmp[int]) == 4 doAssert upperBound([1,2,3,5], 3) == 3 block fillEmptySeq: var s = newSeq[int]() s.fill(0) block testBinarySearch: var noData: seq[int] doAssert binarySearch(noData, 7) == -1 let oneData = @[1] doAssert binarySearch(oneData, 1) == 0 doAssert binarySearch(onedata, 7) == -1 let someData = @[1,3,4,7] doAssert binarySearch(someData, 1) == 0 doAssert binarySearch(somedata, 7) == 3 doAssert binarySearch(someData, -1) == -1 doAssert binarySearch(someData, 5) == -1 doAssert binarySearch(someData, 13) == -1 let moreData = @[1,3,5,7,4711] doAssert binarySearch(moreData, -1) == -1 doAssert binarySearch(moreData, 1) == 0 doAssert binarySearch(moreData, 5) == 2 doAssert binarySearch(moreData, 6) == -1 doAssert binarySearch(moreData, 4711) == 4 doAssert binarySearch(moreData, 4712) == -1