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algorithms.py
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273 lines (235 loc) · 7.61 KB
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from isSorted import is_sorted
class Algorithm:
def step(self):
pass
name = "Algorithm"
arr = []
class BogoSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "BogoSort"
def step(self):
if is_sorted(self.arr):
return None, None
# swap two random
import random
i = random.randint(0, len(self.arr)-1)
j = random.randint(0, len(self.arr)-1)
self.arr[i], self.arr[j] = self.arr[j], self.arr[i]
return i,j
class StalinSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "StalinSort"
self.i = 0
def step(self):
if not is_sorted(self.arr) and self.i >= len(self.arr) - 1:
self.i = 0
if is_sorted(self.arr) or self.i >= len(self.arr) - 1:
return None, None
this = self.arr[self.i]
next = self.arr[self.i + 1]
if this > next:
del self.arr[self.i]
else:
self.i += 1
return None, None
class BubbleSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "BubbleSort"
self.n = len(self.arr)
self.i = 0
self.j = 0
def step(self):
if is_sorted(self.arr):
return None, None
if self.j >= self.n - self.i - 1:
self.i += 1
self.j = 0
if self.i >= self.n - 1:
return None, None
if self.arr[self.j] > self.arr[self.j + 1]:
self.arr[self.j], self.arr[self.j + 1] = self.arr[self.j + 1], self.arr[self.j]
swap1, swap2 = self.j, self.j + 1
else:
swap1, swap2 = None, None
self.j += 1
return swap1, swap2
class QuickSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "QuickSort"
self.stack = [(0, len(self.arr) - 1)]
def step(self):
if is_sorted(self.arr):
return None, None
if not self.stack:
return None, None
low, high = self.stack.pop()
if low < high:
pivot_index = self.partition(low, high)
self.stack.append((low, pivot_index - 1))
self.stack.append((pivot_index + 1, high))
return None, None
def partition(self, low, high):
pivot = self.arr[high]
i = low - 1
for j in range(low, high):
if self.arr[j] < pivot:
i += 1
self.arr[i], self.arr[j] = self.arr[j], self.arr[i]
self.arr[i + 1], self.arr[high] = self.arr[high], self.arr[i + 1]
return i + 1
class MergeSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "MergeSort"
self.temp_arr = [0] * len(self.arr)
self.current_size = 1
self.left_start = 0
def step(self):
if is_sorted(self.arr):
return None, None
if self.current_size >= len(self.arr):
return None, None
mid = min(self.left_start + self.current_size - 1, len(self.arr) - 1)
right_end = min(self.left_start + 2 * self.current_size - 1, len(self.arr) - 1)
self.merge(self.left_start, mid, right_end)
self.left_start += 2 * self.current_size
if self.left_start >= len(self.arr) - 1:
self.left_start = 0
self.current_size *= 2
return None, None
def merge(self, left, mid, right):
for i in range(left, right + 1):
self.temp_arr[i] = self.arr[i]
i = left
j = mid + 1
k = left
while i <= mid and j <= right:
if self.temp_arr[i] <= self.temp_arr[j]:
self.arr[k] = self.temp_arr[i]
i += 1
else:
self.arr[k] = self.temp_arr[j]
j += 1
k += 1
while i <= mid:
self.arr[k] = self.temp_arr[i]
i += 1
k += 1
while j <= right:
self.arr[k] = self.temp_arr[j]
j += 1
k += 1
class InsertionSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "InsertionSort"
self.i = 1
self.j = 0
def step(self):
if is_sorted(self.arr):
return None, None
if self.i >= len(self.arr):
return None, None
key = self.arr[self.i]
self.j = self.i - 1
while self.j >= 0 and self.arr[self.j] > key:
self.arr[self.j + 1] = self.arr[self.j]
self.j -= 1
self.arr[self.j + 1] = key
self.i += 1
return None, None
class HeapSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "HeapSort"
self.n = len(self.arr)
self.i = self.n // 2 - 1
self.j = self.n - 1
def step(self):
if is_sorted(self.arr):
return None, None
if self.i >= 0:
self.heapify(self.n, self.i)
self.i -= 1
elif self.j > 0:
self.arr[0], self.arr[self.j] = self.arr[self.j], self.arr[0]
self.heapify(self.j, 0)
self.j -= 1
return None, None
def heapify(self, n, i):
largest = i
left = 2 * i + 1
right = 2 * i + 2
if left < n and self.arr[i] < self.arr[left]:
largest = left
if right < n and self.arr[largest] < self.arr[right]:
largest = right
if largest != i:
self.arr[i], self.arr[largest] = self.arr[largest], self.arr[i]
self.heapify(n, largest)
class SelectionSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "SelectionSort"
self.i = 0
self.j = 0
def step(self):
if is_sorted(self.arr):
return None, None
if self.i < len(self.arr) - 1:
min_idx = self.i
for j in range(self.i + 1, len(self.arr)):
if self.arr[j] < self.arr[min_idx]:
min_idx = j
self.arr[self.i], self.arr[min_idx] = self.arr[min_idx], self.arr[self.i]
self.i += 1
return None, None
class TimSort(Algorithm):
def __init__(self, arr2):
self.arr = arr2
self.name = "TimSort"
self.min_run = 32
self.n = len(self.arr)
self.runs = []
self.current_run = []
def step(self):
if is_sorted(self.arr):
return None, None
if not self.runs:
self.create_runs()
if len(self.runs) == 1:
return None, None
self.merge_runs()
return None, None
def create_runs(self):
for i in range(0, self.n, self.min_run):
run = self.arr[i:i + self.min_run]
run.sort()
self.runs.append(run)
def merge_runs(self):
if len(self.runs) <= 1:
return
new_runs = []
for i in range(0, len(self.runs) - 1, 2):
new_runs.append(self.merge(self.runs[i], self.runs[i + 1]))
if len(self.runs) % 2 == 1:
new_runs.append(self.runs[-1])
self.runs = new_runs
self.arr = [item for run in self.runs for item in run]
def merge(self, left, right):
result = []
i = j = 0
while i < len(left) and j < len(right):
if left[i] < right[j]:
result.append(left[i])
i += 1
else:
result.append(right[j])
j += 1
result.extend(left[i:])
result.extend(right[j:])
return result