forked from hofmannol/AlgoDatSoSe25
Converted Basic QuickSort to work, but with max recdepth problems
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schoeffelbe/pr03.py
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111
schoeffelbe/pr03.py
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import logging
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logger = logging.getLogger(__name__)
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logging.basicConfig(level=logging.DEBUG)
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from utils.memory_array import MemoryArray
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from utils.memory_cell import MemoryCell
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from utils.literal import Literal
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from utils.constants import MIN_VALUE
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from utils.memory_manager import MemoryManager
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from utils.memory_range import mrange
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def example():
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initial = [6, 5, 3, 8, 1, 7, 2, 4]
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# initial = [-6, -5, -3, -8, 1, 7, 2, 4]
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toSort = MemoryArray(initial)
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# init_from_size not accessible?
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quickSort(toSort, Literal(0), mode=0)
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logger.debug(f"sorted {toSort} vs initial {initial}")
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assert all(toSort[Literal(i)] == Literal(i+1) for i in range(len(initial))), "Array not sorted correctly"
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# analyze_complexity(quickSort, [10, 20, 30, 40, 50, 60, 70, 80, 90, 100])
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def getPivot(z: MemoryArray, l: Literal, r: Literal, mode) -> Literal:
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if mode == 0:
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return r
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else:
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mid = MemoryCell(l) + MemoryCell(MemoryCell(r) - l) // Literal(2)
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# Return median of left, middle, and right elements
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if ((z[l] <= z[mid] and z[mid] <= z[r]) or
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(z[r] <= z[mid] and z[mid] <= z[l])):
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return mid
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elif ((z[mid] <= z[l] and z[l] <= z[r]) or
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(z[r] <= z[l] and z[l] <= z[mid])):
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return l
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else:
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return r
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def swap(z: MemoryArray, i: int, j: int):
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tmp = z[Literal(i)].value
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z[Literal(i)] = z[Literal(j)]
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z[Literal(j)].set(tmp)
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def quickSort(z: MemoryArray, l: Literal = Literal(0), r: Literal = Literal(-1), mode=0):
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if r == Literal(-1):
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r = z.length().pred();
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if l < r:
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q = partition(z, l, r, mode)
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quickSort(z, l, q.pred())
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quickSort(z, q.succ(), r)
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def partition(z: MemoryArray, l: Literal, r: Literal, mode):
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# Get pivot
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pivot_idx = getPivot(z, l, r, mode)
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# If pivot is not already at the right end, swap it there
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if pivot_idx != r:
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swap(z, int(pivot_idx), int(r))
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# with MemoryCell(z[r]) as pivot, MemoryCell(l) as i, MemoryCell(r.pred()) as j:
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pivot = MemoryCell(z[r])
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i = MemoryCell(l)
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j = MemoryCell(r.pred())
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while i < j:
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while z[i] < pivot:
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i.set(i.succ())
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while j > l and z[j] >= pivot:
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j.set(j.pred())
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if i < j:
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swap(z, int(i), int(j))
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i.set(i.succ())
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j.set(j.pred())
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if i == j and z[i] < pivot:
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i.set(i.succ())
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if z[i] != pivot:
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swap(z, int(i), int(r))
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return Literal(i)
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def analyze_complexity(fn, sizes):
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"""
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Analysiert die Komplexität einer maximalen Teilfolgenfunktion.
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:param max_sequence_func: Die Funktion, die analysiert wird.
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:param sizes: Eine Liste von Eingabegrößen für die Analyse.
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"""
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for size in sizes:
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MemoryManager.purge() # Speicher zurücksetzen
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random_array = MemoryArray.create_random_array(size, -100, 100)
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other_array = MemoryArray([-1] * size)
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fn(random_array, other_array)
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MemoryManager.save_stats(size)
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MemoryManager.plot_stats(["cells", "adds", "compares"])
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if __name__ == '__main__':
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# For debug, assert if working and complexity-analysis
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example()
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toSort = MemoryArray.create_array_from_file("data/seq0.txt")
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print(toSort)
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quickSort(toSort)
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print(toSort)
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for filename in ["data/seq0.txt", "data/seq1.txt", "data/seq2.txt", "data/seq3.txt"]:
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print(filename)
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toSort = MemoryArray.create_array_from_file(filename)
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quickSort(toSort,Literal(0), Literal(-1), mode=0)
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