# Titan Robotics Team 2022: Sort submodule # Written by Arthur Lu # Notes: # this should be imported as a python module using 'from tra_analysis import Sort' # setup: __version__ = "1.0.0" __changelog__ = """changelog: 1.0.0: - ported analysis.Sort() here - removed classness """ __author__ = ( "Arthur Lu ", ) __all__ = [ ] def quicksort(a): def sort(array): less = [] equal = [] greater = [] if len(array) > 1: pivot = array[0] for x in array: if x < pivot: less.append(x) elif x == pivot: equal.append(x) elif x > pivot: greater.append(x) return sort(less)+equal+sort(greater) else: return array return np.array(sort(a)) def mergesort(a): def sort(array): array = array if len(array) >1: middle = len(array) // 2 L = array[:middle] R = array[middle:] sort(L) sort(R) i = j = k = 0 while i < len(L) and j < len(R): if L[i] < R[j]: array[k] = L[i] i+= 1 else: array[k] = R[j] j+= 1 k+= 1 while i < len(L): array[k] = L[i] i+= 1 k+= 1 while j < len(R): array[k] = R[j] j+= 1 k+= 1 return array return sort(a) def introsort(a): def sort(array, start, end, maxdepth): array = array if end - start <= 1: return elif maxdepth == 0: heapsort(array, start, end) else: p = partition(array, start, end) sort(array, start, p + 1, maxdepth - 1) sort(array, p + 1, end, maxdepth - 1) return array def partition(array, start, end): pivot = array[start] i = start - 1 j = end while True: i = i + 1 while array[i] < pivot: i = i + 1 j = j - 1 while array[j] > pivot: j = j - 1 if i >= j: return j swap(array, i, j) def swap(array, i, j): array[i], array[j] = array[j], array[i] def heapsort(array, start, end): build_max_heap(array, start, end) for i in range(end - 1, start, -1): swap(array, start, i) max_heapify(array, index=0, start=start, end=i) def build_max_heap(array, start, end): def parent(i): return (i - 1)//2 length = end - start index = parent(length - 1) while index >= 0: max_heapify(array, index, start, end) index = index - 1 def max_heapify(array, index, start, end): def left(i): return 2*i + 1 def right(i): return 2*i + 2 size = end - start l = left(index) r = right(index) if (l < size and array[start + l] > array[start + index]): largest = l else: largest = index if (r < size and array[start + r] > array[start + largest]): largest = r if largest != index: swap(array, start + largest, start + index) max_heapify(array, largest, start, end) maxdepth = (len(a).bit_length() - 1)*2 return sort(a, 0, len(a), maxdepth) def heapsort(a): def sort(array): array = array n = len(array) for i in range(n//2 - 1, -1, -1): heapify(array, n, i) for i in range(n-1, 0, -1): array[i], array[0] = array[0], array[i] heapify(array, i, 0) return array def heapify(array, n, i): array = array largest = i l = 2 * i + 1 r = 2 * i + 2 if l < n and array[i] < array[l]: largest = l if r < n and array[largest] < array[r]: largest = r if largest != i: array[i],array[largest] = array[largest],array[i] heapify(array, n, largest) return array return sort(a) def insertionsort(a): def sort(array): array = array for i in range(1, len(array)): key = array[i] j = i-1 while j >=0 and key < array[j] : array[j+1] = array[j] j -= 1 array[j+1] = key return array return sort(a) def timsort(a, block = 32): BLOCK = block def sort(array, n): array = array for i in range(0, n, BLOCK): insertionsort(array, i, min((i+31), (n-1))) size = BLOCK while size < n: for left in range(0, n, 2*size): mid = left + size - 1 right = min((left + 2*size - 1), (n-1)) merge(array, left, mid, right) size = 2*size return array def insertionsort(array, left, right): array = array for i in range(left + 1, right+1): temp = array[i] j = i - 1 while j >= left and array[j] > temp : array[j+1] = array[j] j -= 1 array[j+1] = temp return array def merge(array, l, m, r): len1, len2 = m - l + 1, r - m left, right = [], [] for i in range(0, len1): left.append(array[l + i]) for i in range(0, len2): right.append(array[m + 1 + i]) i, j, k = 0, 0, l while i < len1 and j < len2: if left[i] <= right[j]: array[k] = left[i] i += 1 else: array[k] = right[j] j += 1 k += 1 while i < len1: array[k] = left[i] k += 1 i += 1 while j < len2: array[k] = right[j] k += 1 j += 1 return sort(a, len(a)) def selectionsort(a): array = a for i in range(len(array)): min_idx = i for j in range(i+1, len(array)): if array[min_idx] > array[j]: min_idx = j array[i], array[min_idx] = array[min_idx], array[i] return array def shellsort(a): array = a n = len(array) gap = n//2 while gap > 0: for i in range(gap,n): temp = array[i] j = i while j >= gap and array[j-gap] >temp: array[j] = array[j-gap] j -= gap array[j] = temp gap //= 2 return array def bubblesort(a): def sort(array): for i, num in enumerate(array): try: if array[i+1] < num: array[i] = array[i+1] array[i+1] = num sort(array) except IndexError: pass return array return sort(a) def cyclesort(a): def sort(array): array = array writes = 0 for cycleStart in range(0, len(array) - 1): item = array[cycleStart] pos = cycleStart for i in range(cycleStart + 1, len(array)): if array[i] < item: pos += 1 if pos == cycleStart: continue while item == array[pos]: pos += 1 array[pos], item = item, array[pos] writes += 1 while pos != cycleStart: pos = cycleStart for i in range(cycleStart + 1, len(array)): if array[i] < item: pos += 1 while item == array[pos]: pos += 1 array[pos], item = item, array[pos] writes += 1 return array return sort(a) def cocktailsort(a): def sort(array): array = array n = len(array) swapped = True start = 0 end = n-1 while (swapped == True): swapped = False for i in range (start, end): if (array[i] > array[i + 1]) : array[i], array[i + 1]= array[i + 1], array[i] swapped = True if (swapped == False): break swapped = False end = end-1 for i in range(end-1, start-1, -1): if (array[i] > array[i + 1]): array[i], array[i + 1] = array[i + 1], array[i] swapped = True start = start + 1 return array return sort(a)