lecture
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@ -2,11 +2,9 @@ from SoSe24.algodat.foundation import AlgoDatArray, AlgoDatValue, read_int_seque
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import matplotlib.pyplot as plt
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import quick_sort as qs
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if __name__ == "__main__":
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filename = "../../seq3_sorted.txt"
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filename = "../../seq3.txt"
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#filename = "../../seq3_sorted.txt"
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dummy = read_int_sequence(filename)
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n = len(dummy)
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step = n // 100
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@ -1,9 +1,10 @@
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from SoSe24.algodat.foundation import AlgoDatArray, AlgoDatValue, read_int_sequence
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from time import perf_counter as pfc
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def partition(z: AlgoDatArray, left: int, right: int) -> int:
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global pivot
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pivot.value = z[right]
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pivot.value = z[right]
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i = left
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j = right - 1
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while i < j:
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@ -21,6 +22,7 @@ def partition(z: AlgoDatArray, left: int, right: int) -> int:
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z[i], z[right] = z[right], z[i]
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return i
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def median_pivot(z: AlgoDatArray, left: int, right: int) -> int:
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mid = left + (right - left) // 2
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if z[left] < z[right]:
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@ -49,6 +51,7 @@ def median_pivot(z: AlgoDatArray, left: int, right: int) -> int:
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z[left], z[right] = z[right], z[left]
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return partition(z, left, right)
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def quick_sort(z: AlgoDatArray, left: int, right: int):
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if left < right:
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q = partition(z, left, right)
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@ -56,6 +59,7 @@ def quick_sort(z: AlgoDatArray, left: int, right: int):
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quick_sort(z, left, q-1)
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quick_sort(z, q+1, right)
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pivot = AlgoDatValue(0)
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if __name__ == "__main__":
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