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v0.4.2
CodeNothing Programming Language Interpreter v0.4.2 Changelog
[v0.4.2] - 2025-07-24
🚀 Major New Feature
- Lambda Expression Support: Added complete lambda expressions and functional programming capabilities
- Single-parameter lambda:
x => x * 2 - Multi-parameter lambda:
(x, y) => x + y - Lambda block:
(x) => { statements } - Function type:
fn(int, int) -> int
- Single-parameter lambda:
✨ Functional Programming Features
- Higher-Order Functions: Support for array.map(), array.filter(), array.reduce(), array.forEach()
- Function Value Reference: Functions can be passed and called as values
- Type Inference: Lambda parameters support auto type inference
- Chaining Operations: Support for functional programming chaining style
🔧 Technical Implementation
- AST Extension: Added Lambda, LambdaBlock, FunctionValue expression types
- Type System: Added Type::Function type support
- Value System: Added Lambda, LambdaBlock, FunctionReference value types
- Lexical Analysis: Added
=>operator support - Parser: Smart lambda parameter list detection and parsing
- Interpreter: Complete lambda execution environment and function application mechanism
📝 Syntax Examples
// Basic lambda expressions
double : fn(int) -> int = x => x * 2;
add : fn(int, int) -> int = (x, y) => x + y;
// Array functional programming
numbers : array<int> = [1, 2, 3, 4, 5];
evens : array<int> = numbers.filter(x => x % 2 == 0);
squares : array<int> = numbers.map(x => x * x);
sum : int = numbers.reduce((acc, x) => acc + x, 0);
// Higher-order functions
fn processArray(arr : array<int>, processor : fn(int) -> int) : array<int> {
return arr.map(processor);
}
🎯 Compatibility
- Fully Backward Compatible: No impact on existing code
- Gradual Adoption: Lambdas can be introduced progressively
- Type Safety: Perfect integration with existing type system
CodeNothing 编程语言解释器 v0.4.2 更新日志
[v0.4.2] - 2025-07-24
🚀 重大新功能
- Lambda表达式支持: 添加完整的Lambda表达式和函数式编程功能
- 单参数Lambda:
x => x * 2 - 多参数Lambda:
(x, y) => x + y - Lambda块:
(x) => { statements } - 函数类型:
fn(int, int) -> int
- 单参数Lambda:
✨ 函数式编程特性
- 高阶函数: 支持array.map()、array.filter()、array.reduce()、array.forEach()
- 函数值引用: 支持将函数作为值传递和调用
- 类型推断: Lambda参数支持auto类型推断
- 链式操作: 支持函数式编程的链式调用风格
🔧 技术实现
- AST扩展: 新增Lambda、LambdaBlock、FunctionValue等表达式类型
- 类型系统: 新增Type::Function函数类型支持
- Value系统: 新增Lambda、LambdaBlock、FunctionReference值类型
- 词法分析: 新增
=>操作符支持 - 解析器: 智能Lambda参数列表检测和解析
- 解释器: 完整的Lambda执行环境和函数应用机制
📝 语法示例
// 基础Lambda表达式
double : fn(int) -> int = x => x * 2;
add : fn(int, int) -> int = (x, y) => x + y;
// 数组函数式编程
numbers : array<int> = [1, 2, 3, 4, 5];
evens : array<int> = numbers.filter(x => x % 2 == 0);
squares : array<int> = numbers.map(x => x * x);
sum : int = numbers.reduce((acc, x) => acc + x, 0);
// 高阶函数
fn processArray(arr : array<int>, processor : fn(int) -> int) : array<int> {
return arr.map(processor);
}
🎯 兼容性
- 完全向后兼容: 不影响现有代码
- 渐进式采用: 可以逐步引入Lambda表达式
- 类型安全: 与现有类型系统完美集成
Full Changelog: CodeNothingCommunity/CodeNothing@v0.4.1...v0.4.2