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stacks/README.md
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stacks/README.md
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## stacks and queues
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<br>
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### stacks
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<br>
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* last in, first out structures (LIFO)
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* useful in certain recursive algorithms, where you can push temp data as you recurse, and remove them from the (memory or data structure) stack as you backtrace.
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<br>
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----
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### queues
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<br>
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* first in, first out structures (FIFO), i.e., items are removed at the same order they are added.
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* queues can be implemented with two arrays or a dynamic array (linked list), as long as items are added and removed from opposite sides.
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* if implemented with a dynamic array, a more efficient solution is to use a circular queue (ring buffer), i.e. a fixed-size array and two pointers to indicate the starting and ending positions. an advantage of circular queues is that we can use the spaces in front of the queue. in a normal queue, once the queue becomes full, we cannot insert the next element even if there is a space in front of the queue. but using the circular queue, we can use the space to store new values.
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* queues are often used in breath-first search (where you store a list of nodes to be processed) or when implementing a cache.
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<br>
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----
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### `Queues.py`
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<br>
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```python
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> python3 queues.py
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🧪 Testing Queue...
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Is the queue empty? True
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Adding 1 to 10 in the queue...
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Queue: [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
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Queue size: 10
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Queue peek : 1
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Is the queue empty? False
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Dequeue...
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Queue: [10, 9, 8, 7, 6, 5, 4, 3, 2]
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Queue size: 9
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Queue peek: 2
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Is the queue empty? False
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🧪 Testing Priority Queue...
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Priority Queue: [(-4, 1, Item 4), (-1, 0, Item 1), (-3, 2, Item 3)]
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Pop: Item 4
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Priority Queue: [(-3, 2, Item 3), (-1, 0, Item 1)]
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```
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<br>
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### `stack.py`
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<br>
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```python
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python3 stack.py
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Testing Stack...
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Stack: [12, 13, 14, 15, 16, 17, 18, 19, 20]
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Stack size: 9
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Stack peek: 20
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Stack is empty: False
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Stack min: 12
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Popping...
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20
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19
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18
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17
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16
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Stack: [12, 13, 14, 15]
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```
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stacks/Stack.py
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stacks/Stack.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# author: bt3gl
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class Stack:
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def __init__(self):
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self.content = []
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self.min_array = []
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self.min = float('inf')
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######################
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# Private methods
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######################
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def __repr__(self):
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return f'{self.content}'
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######################
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# Properties
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######################
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@property
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def size(self):
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return len(self.content)
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@property
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def peek(self):
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if self.content:
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return self.content[-1]
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else:
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print('❌ Queue is empty, cannot peek.')
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@property
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def is_empty(self):
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return not bool(self.content)
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######################
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# Public methods
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######################
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def push(self, value):
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if value < self.min:
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self.min = value
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self.content.append(value)
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self.min_array.append(self.min)
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def pop(self):
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if self.content:
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value = self.content.pop()
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self.min_array.pop()
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if self.min_array:
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self.min = self.min_array[-1]
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return value
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def find_min(self):
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if self.min_array:
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return self.min_array[-1]
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if __name__ == '__main__':
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######################
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# Simple Stack
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######################
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print('Testing Stack...')
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stack = Stack()
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for i in range(12, 21):
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stack.push(i)
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print(f'\nStack: {stack}')
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print(f'Stack size: {stack.size}')
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print(f'Stack peek: {stack.peek}')
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print(f'Stack is empty: {stack.is_empty}')
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print(f'Stack min: {stack.find_min()}')
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print('\nPopping...')
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for i in range(5):
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print(stack.pop())
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print(f'Stack: {stack}')
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