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import streamlit as st
import random
from colors import *
from bubbleSort import bubble_sort
from selectionSort import selection_sort
from insertionSort import insertion_sort
from quickSort import quick_sort
# Create a Streamlit app
st.set_page_config(page_title='Sorting Algorithms Visualization', layout='wide')
st.title("Sorting Algorithms Visualization")
# Initialize the data list
data = []
def draw_data(data, color_array):
"""
Function to display the data on Streamlit.
"""
st.write("### Sorting Visualization")
# Convert data to a chart-friendly format
chart_data = {"Index": list(range(len(data))), "Value": data}
# Display the bar chart using Streamlit's built-in plotting
chart = st.bar_chart(chart_data, use_container_width=True)
def generate():
"""
Function to generate random data.
"""
global data
data = [random.randint(1, 150) for _ in range(100)]
draw_data(data, [BLUE for _ in range(len(data))])
def set_speed():
"""
Function to set speed based on the selected speed level.
"""
speed = st.selectbox('Select Sorting Speed', ['Fast', 'Medium', 'Slow'])
if speed == 'Slow':
return 0.3
elif speed == 'Medium':
return 0.1
else:
return 0.001
def sort():
"""
Function to sort the data based on selected algorithm.
"""
global data
time_tick = set_speed()
algorithm = st.selectbox('Select Sorting Algorithm', [
'Bubble Sort',
'Selection Sort',
'Insertion Sort',
'Quick Sort''
])
if algorithm == 'Bubble Sort':
bubble_sort(data, draw_data, time_tick)
elif algorithm == 'Selection Sort':
selection_sort(data, draw_data, time_tick)
elif algorithm == 'Insertion Sort':
insertion_sort(data, draw_data, time_tick)
elif algorithm == 'Quick Sort':
quick_sort(data, 0, len(data)-1, draw_data, time_tick)
# Streamlit buttons and actions
if st.button('Generate Array'):
generate()
if st.button('Sort'):
sort()
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