A comprehensive collection of 105 LeetCode solutions in Rust, featuring multiple algorithmic approaches, extensive testing, performance benchmarking, and interactive problem exploration tools.

• 105 unique problems across all difficulty levels
• Multiple approaches per problem (2-6 implementations each)
• Detailed complexity analysis for every solution
• 100% test pass rate with comprehensive test suites

• Interactive Problem Selector - Navigate problems by difficulty, topic, or complexity
• Performance Benchmarking Suite - Compare algorithmic approaches with real metrics
• Complexity Analysis Guide - Deep dive into time/space trade-offs
• Difficulty Analysis Report - Learning path recommendations and pattern recognition

• Clean, idiomatic Rust code with comprehensive documentation
• Property-based testing using proptest for edge case discovery
• Criterion.rs benchmarking for performance validation
• Zero unsafe code with comprehensive linting

• Rust 1.75 or later
• Cargo (comes with Rust)

git clone https://github.com/your-username/rust-leetcode.git
cd rust-leetcode
cargo build

# Run all tests
cargo test

# Run tests for specific problem
cargo test two_sum

# Run with coverage
cargo install cargo-tarpaulin
cargo tarpaulin --out Html

# Launch interactive problem browser
cargo run --bin problem-selector

# Track your learning progress
cargo run --bin progress-tracker

# Practice coding interviews
cargo run --bin interview-simulator

# Generate solution templates for new problems
cargo run --bin solution-generator

# Fetch and add new problems automatically (NEW!)
cargo run --bin problem-fetcher

# Test LeetCode API integration
cargo run --bin api-demo

# Run all benchmarks
cargo bench

# Benchmark specific problems
cargo bench two_sum
cargo bench -- --save-baseline main

rust-leetcode/
├── 📁 src/
│   ├── 📁 easy/          # Easy difficulty problems (14)
│   ├── 📁 medium/        # Medium difficulty problems (45) 
│   ├── 📁 hard/          # Hard difficulty problems (46)
│   ├── 📁 utils/         # Common data structures & helpers
│   └── 📁 bin/           # Interactive tools
├── 📁 benches/           # Performance benchmarks
├── 📁 tests/             # Integration tests
├── 📁 docs/              # Additional documentation
├── 📊 DIFFICULTY_ANALYSIS.md    # Problem analysis & learning paths
├── ⚡ PERFORMANCE_REPORT.md     # Benchmark results & insights  
├── 🔍 COMPLEXITY_GUIDE.md       # Complexity analysis guide
├── 🎯 ALGORITHM_PATTERNS.md     # Master essential algorithmic patterns
├── 📋 LEETCODE_PROBLEMS.md      # Complete problem reference
├── 🚀 FEATURE_OVERVIEW.md       # Complete platform capabilities guide
└── 🛠️ DEVELOPMENT_GUIDE.md      # Advanced development and contribution guide

The repository includes a comprehensive suite of interactive tools to enhance your learning experience:

cargo run --bin problem-selector

• Browse by difficulty, topic, and complexity
• Get random problems for practice
• Follow structured learning paths
• View detailed problem information and statistics

cargo run --bin progress-tracker

• Track completion status across all 105 problems
• Monitor progress by difficulty and algorithmic patterns
• Get personalized problem recommendations
• Export detailed progress reports
• Set and track learning goals

cargo run --bin interview-simulator

• Practice under realistic interview conditions
• Multiple session types: Phone Screen, Technical Round, On-site
• Real-time performance feedback and analysis
• Post-interview improvement recommendations
• Timed sessions with interactive interviewer responses

cargo run --bin solution-generator

• Generate boilerplate for new LeetCode problems
• Multiple solution approach templates
• Comprehensive test suite generation
• Automatic benchmark integration
• Documentation and complexity analysis templates

• Dynamic Programming: 25 problems
• Tree & Graph Algorithms: 20 problems
• Array & String Processing: 18 problems
• Hash Tables & Maps: 15 problems
• Two Pointers & Sliding Window: 12 problems

pub fn two_sum(&self, nums: Vec<i32>, target: i32) -> Vec<i32> {
    let mut map: HashMap<i32, usize> = HashMap::new();
    
    for (i, &num) in nums.iter().enumerate() {
        let complement = target - num;
        if let Some(&complement_index) = map.get(&complement) {
            return vec![complement_index as i32, i as i32];
        }
        map.insert(num, i);
    }
    vec![]
}

Complexity: O(n) time, O(n) space

pub fn length_of_longest_substring(&self, s: String) -> i32 {
    let chars: Vec<char> = s.chars().collect();
    let mut char_index = HashMap::new();
    let mut max_len = 0;
    let mut start = 0;
    
    for (end, &ch) in chars.iter().enumerate() {
        if let Some(&idx) = char_index.get(&ch) {
            start = start.max(idx + 1);
        }
        char_index.insert(ch, end);
        max_len = max_len.max(end - start + 1);
    }
    
    max_len as i32
}

Complexity: O(n) time, O(min(m,n)) space

pub fn find_median_sorted_arrays(&self, nums1: Vec<i32>, nums2: Vec<i32>) -> f64 {
    let (nums1, nums2) = if nums1.len() > nums2.len() { 
        (nums2, nums1) 
    } else { 
        (nums1, nums2) 
    };
    
    let m = nums1.len();
    let n = nums2.len();
    let total_left = (m + n + 1) / 2;
    
    let mut left = 0;
    let mut right = m;
    
    while left <= right {
        let cut1 = (left + right) / 2;
        let cut2 = total_left - cut1;
        
        let left1 = if cut1 == 0 { i32::MIN } else { nums1[cut1 - 1] };
        let left2 = if cut2 == 0 { i32::MIN } else { nums2[cut2 - 1] };
        
        let right1 = if cut1 == m { i32::MAX } else { nums1[cut1] };
        let right2 = if cut2 == n { i32::MAX } else { nums2[cut2] };
        
        if left1 <= right2 && left2 <= right1 {
            return if (m + n) % 2 == 1 {
                left1.max(left2) as f64
            } else {
                (left1.max(left2) + right1.min(right2)) as f64 / 2.0
            };
        } else if left1 > right2 {
            right = cut1 - 1;
        } else {
            left = cut1 + 1;
        }
    }
    
    -1.0
}

Complexity: O(log(min(m,n))) time, O(1) space

The repository includes comprehensive benchmarks comparing different algorithmic approaches:

Input Size 1000:
  Hash Map:     847.23 µs  (Optimal)
  Two Pass:     1.2034 ms  (1.4x slower)  
  Brute Force:  47.234 ms  (55.7x slower)

Longest Substring (10k chars):
  Sliding Window:  245.67 µs  (Optimal)
  Hash Set:        312.89 µs  (1.3x slower)
  Brute Force:     127.2 ms   (518x slower)

Run benchmarks yourself:

cargo bench                    # All benchmarks
cargo bench two_sum           # Specific problem
cargo bench -- --save-baseline main  # Save baseline

Perfect for interview preparation and algorithm fundamentals:

1. Two Sum - Hash table basics
2. Valid Parentheses - Stack operations
3. Merge Two Sorted Lists - Linked list manipulation
4. Maximum Depth of Binary Tree - Tree traversal
5. Climbing Stairs - Dynamic programming introduction

Advanced patterns and optimization techniques:

1. 3Sum - Two pointers technique
2. Longest Substring Without Repeating - Sliding window
3. Number of Islands - DFS/BFS graph traversal
4. LRU Cache - System design fundamentals
5. Maximum Subarray - Kadane's algorithm

Complex algorithms and system design:

1. Median of Two Sorted Arrays - Binary search mastery
2. Edit Distance - Complex dynamic programming
3. Trapping Rain Water - Multiple solution approaches
4. Regular Expression Matching - Advanced pattern matching
5. Merge k Sorted Lists - Divide and conquer optimization

# Format code
cargo fmt

# Run lints
cargo clippy -- -D warnings

# Check for unused dependencies  
cargo machete

# Security audit
cargo audit

# Unit tests
cargo test

# Integration tests
cargo test --test integration_tests

# Property-based tests  
cargo test --test property_tests

# Test with coverage
cargo tarpaulin --out Html --output-dir coverage/

# Generate docs
cargo doc --open

# Run doc tests
cargo test --doc

# Check doc coverage
cargo +nightly rustdoc -- --show-coverage

• Algorithm Patterns Guide - Master 10 essential algorithmic patterns with templates and examples
• Difficulty Analysis - Comprehensive problem analysis and learning recommendations
• Complexity Guide - Deep dive into time/space complexity analysis
• Problem Reference - Complete problem list with status indicators

• Feature Overview - Complete guide to all platform capabilities and use cases
• Development Guide - Advanced development workflows and contribution guidelines

• Performance Report - Benchmark results and algorithmic insights
• Test Coverage Report - Detailed testing analysis
• Benchmark Results - Performance comparison data

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

• Follow Rust formatting conventions (cargo fmt)
• Add comprehensive tests for new solutions
• Include multiple approaches when applicable
• Update documentation and benchmarks
• Ensure all tests pass (cargo test)

• Total Problems: 105 unique implementations
• Total Test Cases: 1,430 (100% passing)
• Solution Approaches: 280+ different implementations
• Code Coverage: 100% line coverage
• Benchmark Coverage: 8 comprehensive benchmark suites
• Documentation: 95%+ doc coverage

✅ 100% Test Success Rate - All 1,430 tests passing
✅ Zero Unsafe Code - Memory-safe implementations throughout
✅ Comprehensive Benchmarking - Performance validation for all major algorithms
✅ Multiple Approaches - 2-6 implementations per problem with complexity analysis
✅ Interactive Tools - Problem selector and analysis utilities
✅ Complete Documentation - In-depth guides and analysis reports

• Rust - Systems programming language
• Criterion.rs - Statistical benchmarking
• Proptest - Property-based testing
• Tarpaulin - Code coverage analysis

This project is licensed under the MIT License - see the LICENSE file for details.

Marvin Tutt
Caia Tech
Built with Rust 🦀 for learning, interview preparation, and AI training

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🚀 Ready to get started? Choose your path:

• Explore Problems: cargo run --bin problem-selector
• Track Progress: cargo run --bin progress-tracker
• Practice Interviews: cargo run --bin interview-simulator
• Generate Templates: cargo run --bin solution-generator