Home > Article > Backend Development > How to implement stack and typical applications using C language and Python
Preface
What is a stack? You can understand it as a first-in-last-out data structure (First In Last Out), a linear table with limited operations...
C implementation
With the help of void pointers and function pointers in C language, we can implement a chained universal stack:
/* stack.h */ #ifndef _STACK_H_ #define _STACK_H_ typedef struct stackNode { void *value; struct stackNode *next; } stackNode; typedef struct stack { stackNode *top; void (*free)(void *ptr); unsigned long size; } stack; /* Functions implemented as macros */ #define stackTop(s) ((s)->top) #define stackSize(s) ((s)->size) #define stackSetFreeMethod(s, m) ((s)->free = (m)) #define stackGetFreeMethod(s) ((s)->free) stack *stackCreate(void); stack *stackPush(stack *stack, void *value); stackNode *stackPop(stack *stack); void stackClear(stack *stack); #endif /* _STACK_H_ */ /* stack.c */ #include <stdlib.h> #include "stack.h" stack *stackCreate(void) { struct stack *stack; if ((stack = (struct stack *)malloc(sizeof(struct stack))) == NULL) return NULL; stack->top = NULL; stack->free = NULL; stack->size = 0; return stack; } stack *stackPush(stack *stack, void *value) { stackNode *node; if ((node = (stackNode *)malloc(sizeof(stackNode))) == NULL) return NULL; node->value = value; node->next = (stack->size == 0) ? NULL : stack->top; stack->top = node; stack->size++; return stack; } stackNode *stackPop(stack *stack) { stackNode *node; node = stack->top; if (stack->size != 0) { stack->top = node->next; stack->size--; } return node; } void stackClear(stack *stack) { unsigned long size; stackNode *current, *next; current = stack->top; size = stack->size; while (size--) { next = current->next; if (stack->free) stack->free(current->value); free(current); current = next; } free(stack); }
Here The implementation is attached with a head node, which is mainly used to register functions related to stack node operations. We also store the stack size information, so that we can get the current stack size in O(1) time!
Python implementation
In Python, list can actually be used directly as a stack, if you only operate on one end of it. Of course, we can also simply encapsulate it:
class Stack(object): """A stack encapsulation based on list.""" def __init__(self): self.items = [] def empty(self): return self.items == [] def clear(self): del self.items[:] @property def size(self): return len(self.items) def push(self, item): """Add a new item to the top of the stack.""" self.items.insert(0, item) def pop(self): """Remove the top item from the stack.""" return self.items.pop(0) def top(self): """Return the top item from the stack but not remove it. """ return self.items[0] def __iter__(self): return iter(self.items) def __next__(self): return self.pop()
Application
Here are some typical applications of the stack.
Bracket matching
Given an arithmetic expression or a piece of C code, how to write a program to verify whether the brackets in it match? With the help of the stack, this can be easily achieved. The algorithm flow is as follows:
Traverse characters:
1. If it is a left bracket, push it onto the stack;
2. If it is a right bracket, this If the stack is empty at this time, it means there is a mismatch. If the stack is not empty and the left bracket and the right bracket that are popped are of different types, it means there is a mismatch;
After the traversal is completed, if the stack is not Empty means no match.
def check_pares(exp): """Check if parentheses match in a expression.""" stack = Stack() pares = {')': '(', ']': '[', '}': '{'} for x in exp: if x in '([{': stack.push(x) elif x in ')]}': if stack.empty() or pares[x] != stack.pop(): return False return True if stack.empty() else False
Number system conversion
Take decimal to binary conversion as an example:
def dec2bin(dec): """Converting decimal number to binary string.""" if dec == 0: return '0' stack = Stack() while dec: r = dec % 2 stack.push(r) dec = dec // 2 return ''.join(str(digit) for digit in stack)
Simulated recursion
Traversing a binary tree is a classic recursive application. Let's take preorder traversal as an example. The recursive version of the code is easy to write:
def preorder_traversal(root): """ 1 / \ 2 3 / \ \ 4 5 6 """ if not root: return print(root.val) preorder_traversal(root.lchild) preorder_traversal(root.rchild)
The following is the non-recursive version:
def preorder_traversal(root) s = Stack() while s.size or root: if root: print(root.val) s.push(root) root = root.lchild else: root = s.pop().rchild
Summary
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