Initial commit: Heapsort and Priority Queue Implementation
- Implemented complete Heapsort algorithm with max-heap operations - Implemented binary heap-based Priority Queue with all core operations - Created Task class for task scheduling applications - Implemented Task Scheduler simulation using priority queue - Added comprehensive test suite (70+ tests, all passing) - Implemented sorting algorithm comparison utilities (Heapsort vs Quicksort vs Merge Sort) - Added detailed README with comprehensive analysis and documentation - Included demonstration scripts for all features - Generated performance comparison plots - Modular, well-documented code following academic standards Author: Carlos Gutierrez Email: cgutierrez44833@ucumberlands.edu
This commit is contained in:
Carlos Gutierrez
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examples/priority_queue_demo.py
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233
examples/priority_queue_demo.py
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#!/usr/bin/env python3
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"""
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Priority Queue Demonstration Script
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This script demonstrates the usage of the priority queue implementation
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with various examples and use cases.
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Author: Carlos Gutierrez
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Email: cgutierrez44833@ucumberlands.edu
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"""
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import sys
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import os
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# Add parent directory to path
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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from src.priority_queue import PriorityQueue
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from src.task import Task
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def demo_basic_operations():
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"""Demonstrate basic priority queue operations."""
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print("=" * 80)
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print("BASIC PRIORITY QUEUE OPERATIONS")
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print("=" * 80)
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# Create a max-heap priority queue
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pq = PriorityQueue(is_max_heap=True)
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print("\n1. Creating and inserting tasks:")
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tasks = [
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Task("T1", priority=10, arrival_time=0.0, description="Task 1"),
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Task("T2", priority=5, arrival_time=1.0, description="Task 2"),
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Task("T3", priority=15, arrival_time=2.0, description="Task 3"),
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Task("T4", priority=20, arrival_time=3.0, description="Task 4"),
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Task("T5", priority=8, arrival_time=4.0, description="Task 5")
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]
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for task in tasks:
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pq.insert(task)
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print(f" Inserted: {task.task_id} (priority: {task.priority})")
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print(f"\n Queue size: {pq.size()}")
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print(f" Is empty: {pq.is_empty()}")
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# Peek at highest priority
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print("\n2. Peeking at highest priority task:")
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top_task = pq.peek()
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print(f" Top task: {top_task.task_id} (priority: {top_task.priority})")
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print(f" Queue size after peek: {pq.size()} (unchanged)")
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# Extract tasks in priority order
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print("\n3. Extracting tasks in priority order:")
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while not pq.is_empty():
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task = pq.extract_max()
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print(f" Extracted: {task.task_id} (priority: {task.priority})")
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print(f"\n Queue size: {pq.size()}")
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print(f" Is empty: {pq.is_empty()}")
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def demo_min_heap():
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"""Demonstrate min-heap priority queue."""
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print("\n" + "=" * 80)
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print("MIN-HEAP PRIORITY QUEUE")
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print("=" * 80)
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pq = PriorityQueue(is_max_heap=False)
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print("\nInserting tasks into min-heap:")
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tasks = [
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Task("T1", priority=10, arrival_time=0.0),
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Task("T2", priority=5, arrival_time=1.0),
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Task("T3", priority=15, arrival_time=2.0),
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Task("T4", priority=20, arrival_time=3.0),
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Task("T5", priority=8, arrival_time=4.0)
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]
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for task in tasks:
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pq.insert(task)
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print(f" Inserted: {task.task_id} (priority: {task.priority})")
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print("\nExtracting tasks (lowest priority first):")
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while not pq.is_empty():
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task = pq.extract_min()
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print(f" Extracted: {task.task_id} (priority: {task.priority})")
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def demo_key_operations():
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"""Demonstrate priority key update operations."""
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print("\n" + "=" * 80)
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print("PRIORITY KEY UPDATE OPERATIONS")
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print("=" * 80)
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pq = PriorityQueue(is_max_heap=True)
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# Insert tasks
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task1 = Task("T1", priority=10, arrival_time=0.0)
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task2 = Task("T2", priority=20, arrival_time=1.0)
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task3 = Task("T3", priority=15, arrival_time=2.0)
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pq.insert(task1)
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pq.insert(task2)
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pq.insert(task3)
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print("\nInitial state:")
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print(f" Top task: {pq.peek().task_id} (priority: {pq.peek().priority})")
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# Increase priority
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print("\n1. Increasing T1's priority from 10 to 25:")
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success = pq.increase_key(task1, 25)
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print(f" Update successful: {success}")
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print(f" New priority: {task1.priority}")
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print(f" Top task: {pq.peek().task_id} (priority: {pq.peek().priority})")
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# Decrease priority
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print("\n2. Decreasing T1's priority from 25 to 12:")
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success = pq.decrease_key(task1, 12)
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print(f" Update successful: {success}")
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print(f" New priority: {task1.priority}")
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print(f" Top task: {pq.peek().task_id} (priority: {pq.peek().priority})")
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def demo_task_scheduling():
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"""Demonstrate task scheduling simulation."""
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print("\n" + "=" * 80)
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print("TASK SCHEDULING SIMULATION")
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print("=" * 80)
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pq = PriorityQueue(is_max_heap=True)
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# Create tasks with deadlines
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tasks = [
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Task("T1", priority=10, arrival_time=0.0, deadline=100.0, execution_time=5.0),
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Task("T2", priority=15, arrival_time=1.0, deadline=50.0, execution_time=3.0),
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Task("T3", priority=8, arrival_time=2.0, deadline=200.0, execution_time=10.0),
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Task("T4", priority=20, arrival_time=3.0, deadline=30.0, execution_time=2.0),
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Task("T5", priority=12, arrival_time=4.0, deadline=150.0, execution_time=7.0)
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]
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print("\nTasks to schedule:")
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for task in tasks:
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print(f" {task.task_id}: priority={task.priority}, deadline={task.deadline}, "
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f"execution_time={task.execution_time}")
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# Insert all tasks
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for task in tasks:
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pq.insert(task)
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print("\nScheduling order (by priority):")
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current_time = 0.0
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while not pq.is_empty():
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task = pq.extract_max()
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print(f"\n Executing: {task.task_id}")
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print(f" Priority: {task.priority}")
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print(f" Start time: {current_time}")
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print(f" Execution time: {task.execution_time}")
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print(f" Deadline: {task.deadline}")
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# Check if task will meet deadline
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completion_time = current_time + task.execution_time
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if task.deadline and completion_time > task.deadline:
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print(f" ⚠️ WARNING: Will miss deadline!")
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else:
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print(f" ✓ Will meet deadline")
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current_time = completion_time
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print(f"\n Total completion time: {current_time}")
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def demo_large_queue():
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"""Demonstrate performance with large queue."""
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print("\n" + "=" * 80)
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print("LARGE QUEUE PERFORMANCE")
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print("=" * 80)
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import time
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pq = PriorityQueue(is_max_heap=True)
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num_tasks = 10000
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print(f"\nInserting {num_tasks} tasks...")
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start = time.perf_counter()
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for i in range(num_tasks):
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priority = (i * 7) % 100 # Vary priorities
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task = Task(f"T{i}", priority=priority, arrival_time=float(i))
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pq.insert(task)
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insert_time = time.perf_counter() - start
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print(f" Insert time: {insert_time:.6f} seconds")
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print(f" Queue size: {pq.size()}")
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print(f"\nExtracting all tasks...")
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start = time.perf_counter()
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count = 0
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prev_priority = float('inf')
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while not pq.is_empty():
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task = pq.extract_max()
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# Verify ordering
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assert task.priority <= prev_priority, "Ordering violated!"
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prev_priority = task.priority
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count += 1
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extract_time = time.perf_counter() - start
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print(f" Extract time: {extract_time:.6f} seconds")
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print(f" Tasks extracted: {count}")
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print(f" Ordering verified: ✓")
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def main():
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"""Run all demonstrations."""
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print("\n" + "=" * 80)
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print("PRIORITY QUEUE IMPLEMENTATION DEMONSTRATION")
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print("Author: Carlos Gutierrez")
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print("Email: cgutierrez44833@ucumberlands.edu")
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print("=" * 80)
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demo_basic_operations()
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demo_min_heap()
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demo_key_operations()
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demo_task_scheduling()
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demo_large_queue()
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print("\n" + "=" * 80)
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print("DEMONSTRATION COMPLETE")
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print("=" * 80 + "\n")
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if __name__ == "__main__":
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main()
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