UVA_325_Identifying Legal Pascal Real Constants

本文介绍了一个使用 C++ 实现的浮点数字符串合法性检查程序。该程序通过状态机的方式判断输入的字符串是否符合合法浮点数的定义,并能够处理包括正负号、小数点和科学计数法在内的多种情况。
#include<iostream>    
#include<sstream>    
#include<string>    
#include<vector>    
#include<list>    
#include<set>    
#include<map>    
#include<stack>    
#include<queue>    
#include<algorithm>  
#include<bitset>
#pragma warning(disable:4996)    
using std::cin;
using std::cout;
using std::endl;
using std::stringstream;
using std::string;
using std::vector;
using std::list;
using std::pair;
using std::set;
using std::multiset;
using std::map;
using std::multimap;
using std::stack;
using std::queue;
using std::priority_queue;
using std::bitset;
bool check(const string &str)
{
	int state = 0;//当前状态
	for (size_t i = 0; i < str.size(); i++)
	{
		switch (state)
		{
		case 0: 
		{
			if (str[i] == '+' || str[i] == '-' || isdigit(str[i]))
			{
				state = 1;
			}
			else
			{
				return false;
			}
		}break;
		case 1:
		{
			if (isdigit(str[i]))
			{
				;
			}
			else if (str[i] == '.')
			{
				state = 2;
			}
			else if (str[i] == 'E' || str[i] == 'e')
			{
				state = 4;
			}
			else
			{
				return false;
			}
		}break;
		case 2:
		{
			if (isdigit(str[i]))
			{
				state = 3;
			}
			else
			{
				return false;
			}
		}break;
		case 3:
		{
			if (isdigit(str[i]))
			{
				;
			}
			else if (str[i] == 'E' || str[i] == 'e')
			{
				state = 4;
			}
			else
			{
				return false;
			}
		}break;
		case 4:
		{
			if (str[i] == '+' || str[i] == '-' || isdigit(str[i]))
			{
				state = 5;
			}
			else
			{
				return false;
			}
		}break;
		case 5:
		{
			if (isdigit(str[i]))
			{
				;
			}
			else
			{
				return false;
			}
		}break;
		default:return false;
		}
	}
	if (state == 3 || state == 5)
	{
		return true;
	}
	return false;
}
int main()
{
	//freopen("input.txt", "r", stdin);    
	//freopen("output.txt", "w", stdout);
	string str;
	while (cin >> str)
	{
		if (str[0] == '*')
		{
			break;
		}
		cout << str;
		if (check(str))
		{
			cout << " is legal." << endl;
		}
		else
		{
			cout << " is illegal." << endl;
		}
	}
	return 0;
}

### Split Blocks in Programming or Data Structures In programming and data structures, split blocks refer to dividing a block of elements into smaller sub-blocks based on specific criteria. This concept is closely related to handling grouped values rather than individual ones[^1]. For instance, when working with parameter blocks or structured types like records in Pascal or structures in C, splitting these blocks allows developers to process subsets independently. #### Definition and Usage Splitting blocks involves partitioning an array or structure into multiple segments according to predefined rules. The primary purpose is to facilitate easier manipulation, analysis, or transformation of large datasets by breaking them down into manageable chunks. In some cases, it aligns well with recurrent neural network architectures where sequential inputs need segmentation before further computation occurs within loops iterating over those parts[^2]. Here’s how you might implement basic functionality using Python: ```python def split_blocks(data_list, size_per_block): """Splits given list 'data_list' into equal-sized lists.""" return [data_list[i:i + size_per_block] for i in range(0, len(data_list), size_per_block)] example_data = ['a', 'b', 'c', 'd', 'e'] result = split_blocks(example_data, 2) print(result) # Output will be [['a','b'], ['c','d'], ['e']] ``` This function demonstrates simple logic behind creating separate sections out of continuous series while maintaining order among original entries during division operations performed programmatically via slicing techniques applied directly onto iterable objects such as lists here shown above. Monitoring tools play significant roles too; they provide valuable feedback regarding system behaviors under various conditions which could lead towards identifying potential bottlenecks affecting overall efficiency levels achieved after implementing any changes suggested accordingly through detailed reports generated thereafter analyzing gathered metrics effectively enhancing final outcomes reached eventually post adjustments made precisely targeting areas needing most attention identified earlier stages throughout entire lifecycle involved managing complex software systems successfully overcoming challenges faced along way ensuring optimal results obtained consistently meeting expectations set initially project commencement phase itself.[^3]
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