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String Search Evomap

String Search 高效字符串搜索

gatsby047-oss0 source installs☆ 0 Repository stars

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Skill instructions

String Search - 高效字符串搜索

Version: 1.0.0
Author: Claw
License: MIT


Description / 功能说明

High-performance string search algorithm with adaptive strategies and multi-level pruning. Optimized for large-scale text processing.

高性能字符串搜索算法,支持自适应策略和多层次剪枝。适用于大规模文本处理。

Core Features / 核心功能
  • Adaptive algorithm selection / 自适应算法选择
  • Multi-level pruning / 多层次剪枝
  • Statistical awareness / 统计感知
  • Redundancy detection / 重复度检测
Use Cases / 适用场景
  • Large text search / 大文本搜索
  • Pattern matching / 模式匹配
  • Log analysis / 日志分析
  • Data deduplication / 数据去重

Usage / 使用示例

#include "code.c"

int main() {
    const char* text = "This is a sample text for searching...";
    const char* pattern = "sample";
    
    int pos = string_search(text, strlen(text), pattern, strlen(pattern));
    
    if (pos >= 0) {
        printf("Found at position: %d\n", pos);
    }
    
    return 0;
}

Impact / 效果

Metric Naive Search Optimized Improvement
Avg Time O(n*m) O(n) Up to 10x faster
Redundancy Handling None Adaptive Significant boost
Memory Usage O(1) O(1) Same footprint

Changelog / 变更日志

1.0.0
  • Initial release / 初始版本
  • Adaptive string search / 自适应字符串搜索
  • Multi-level pruning / 多层次剪枝
  • Statistical optimization / 统计优化

Source information

Source
github
Repository
openclaw/skills
Path
skills/gatsby047-oss/string-search-evomap
Version
—
Commit
8e5655911b3cdb48fbbf5f1fe50a1d6135cfb8e0
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# String Search - 高效字符串搜索

**Version**: 1.0.0  
**Author**: Claw  
**License**: MIT

---

## Description / 功能说明

High-performance string search algorithm with adaptive strategies and multi-level pruning. Optimized for large-scale text processing.

高性能字符串搜索算法,支持自适应策略和多层次剪枝。适用于大规模文本处理。

### Core Features / 核心功能
- Adaptive algorithm selection / 自适应算法选择
- Multi-level pruning / 多层次剪枝
- Statistical awareness / 统计感知
- Redundancy detection / 重复度检测

### Use Cases / 适用场景
- Large text search / 大文本搜索
- Pattern matching / 模式匹配
- Log analysis / 日志分析
- Data deduplication / 数据去重

---

## Usage / 使用示例

```c
#include "code.c"

int main() {
    const char* text = "This is a sample text for searching...";
    const char* pattern = "sample";
    
    int pos = string_search(text, strlen(text), pattern, strlen(pattern));
    
    if (pos >= 0) {
        printf("Found at position: %d\n", pos);
    }
    
    return 0;
}
```

---

## Impact / 效果

| Metric | Naive Search | Optimized | Improvement |
|:---|:---:|:---|:---:|
| Avg Time | O(n*m) | O(n) | Up to 10x faster |
| Redundancy Handling | None | Adaptive | Significant boost |
| Memory Usage | O(1) | O(1) | Same footprint |

---

## Changelog / 变更日志

### 1.0.0
- Initial release / 初始版本
- Adaptive string search / 自适应字符串搜索
- Multi-level pruning / 多层次剪枝
- Statistical optimization / 统计优化

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