sorting_algorithm_visualizer/sorting_algo.py at main · TankEngine-ish/sorting_algorithm_visualizer · GitHub

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#%%
import time
import scipy as sp
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation


class TrackedArray():

    def __init__(self, arr):
        self.arr = np.copy(arr)
        self.reset()

    def reset(self):
        self.indices = []
        self.values = []
        self.access_type = []  # whether it's 'get' or 'set'
        self.full_copies = []

    def track(self, key, access_type):
        self.indices.append(key)
        self.values.append(self.arr[key])
        self.access_type.append(access_type)
        self.full_copies.append(np.copy(self.arr))

    def GetActivity(self, idx=None):
        if isinstance(idx, type(None)):
            return [(i, op) for (i, op) in zip(self.indices, self.access_type)]
        else:
            return (self.indices[idx], self.access_type[idx])

    def __getitem__(self, key):
        self.track(key, "get")
        return self.arr.__getitem__(key)

    def __setitem__(self, key, value):
        self.arr.__setitem__(key, value)
        self.track(key, "set")

    def __len__(self):
        return self.arr.__len__()


plt.rcParams["figure.figsize"] = (12, 8)
plt.rcParams["font.size"] = 16

FPS = 60.0
N = 30
arr = np.round(np.linspace(0,1000,N), 0)
np.random.seed(0)
np.random.shuffle(arr)
arr = TrackedArray(arr)

# fig, ax = plt.subplots()
# ax.bar(np.arange(0, len(arr), 1),arr, align="edge", width=0.8)
# ax.set_xlim([0, N])
# ax.set(xlabel="Index", ylabel="Value", title = "Unsorted array")
# we don't need the old plotting


##############################
####### Insertion Sort #######
##############################

sorter = "Insertion"
t0 = time.perf_counter()

i = 1
while (i < len(arr)):
    j = i
    while ((j > 0) and (arr[j-1] > arr[j])):
        temp = arr[j-1]
        arr[j-1] = arr[j]
        arr[j] = temp
        j -= 1
    i += 1

dt = time.perf_counter() - t0

##############################

# print(f"---------- {sorter} Sort ----------")
# print(f"Array Sorted in {dt*1E3:.1f} ms")

# fig, ax = plt.subplots()
# ax.bar(np.arange(0, len(arr), 1),arr, align="edge", width=0.8)


##############################
######### Quick Sort #########
##############################

sorter = "Quick"

def quicksort(A, lo, hi):
    if lo < hi:
        p = partition(A, lo, hi)
        quicksort(A, lo, p - 1)
        quicksort(A, p + 1, hi)


def partition(A, lo, hi):
    pivot = A[hi]
    i = lo
    for j in range(lo, hi):
        if A[j] < pivot:
            temp = A[i]
            A[i] = A[j]
            A[j] = temp
            i += 1
    temp = A[i]
    A[i] = A[hi]
    A[hi] = temp
    return i

t0 = time.perf_counter()
quicksort(arr, 0, len(arr)-1)
dt = time.perf_counter() - t0

##############################


print(f"---------- {sorter} Sort ----------")
print(f"Array Sorted in {dt*1E3:.1f} ms")

fig, ax = plt.subplots()
container = ax.bar(np.arange(0, len(arr), 1),arr, align="edge", width=0.8)
ax.set_xlim([0, N])
ax.set(xlabel="Index", ylabel="Value", title = f"{sorter} sort")
txt = ax.text(0,1000, "")

def update(frame):
    txt.set_text(f" Accesses = {frame}")
    for (rectangle, height) in zip(container.patches, arr.full_copies[frame]):
        rectangle.set_height(height)
        rectangle.set_color("#1f77b4")


    idx, op = arr.GetActivity(frame)
    if op == "get":
        container.patches[idx].set_color("magenta")
    elif op == "set":
        container.patches[idx].set_color("red")
        #this is the color representation of the current array element being accessed

    return (*container, txt)

ani = FuncAnimation(fig, update, frames=range(len(arr.full_copies)),
                        blit=True, interval=1000./FPS, repeat=False)

plt.show()