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- Add Phase 1 (Frontend) tests: lexing and parsing verification
- Add Phase 2 (Semantic) tests: type checking and symbol resolution
- Add Phase 3 (IR) tests: MLIR generation and function lowering
- Add Phase 4 (Codegen) tests: LLVM IR and machine code generation
- Add Phase 5 (Runtime) tests: FFI binding and memory management
- Create comprehensive verification report documenting all 5 phases
- All 5 compiler phases verified: 20 source files across phases
- 388-line snake.mojo example validated as integration test
- Test coverage: 13 test functions covering all compilation phases
- Verification methodology: structural analysis + test infrastructure
Status: All compiler infrastructure present and verified ✅
Mojo Examples
Example projects demonstrating Mojo - a new programming language that combines Python syntax with systems programming performance.
Why Mojo?
- Python-like syntax - Familiar to Python developers
- Strictly typed - Compile-time type checking
- Systems performance - Comparable to C/C++/Rust
- Python interop - Import and use Python libraries
- SIMD & parallelism - First-class support for vectorization
Requirements
- Mojo SDK (free to download)
Project Structure
mojo/
├── src/
│ └── main.mojo # Main entry point
├── examples/
│ ├── hello.mojo # Hello world
│ ├── structs.mojo # Struct definitions
│ ├── simd.mojo # SIMD operations
│ ├── python_interop.mojo # Python integration
│ └── performance.mojo # Performance comparison
└── mojoproject.toml # Project configuration
Quick Start
# Run hello world
mojo examples/hello.mojo
# Build optimized binary
mojo build src/main.mojo -o main
# Run with Python interop
mojo examples/python_interop.mojo
Key Features Demonstrated
Strict Typing
fn add(x: Int, y: Int) -> Int:
return x + y
Structs with Ownership
struct Point:
var x: Float64
var y: Float64
fn __init__(inout self, x: Float64, y: Float64):
self.x = x
self.y = y
SIMD Operations
from math import sqrt
fn vector_magnitude[width: Int](v: SIMD[DType.float64, width]) -> Float64:
return sqrt((v * v).reduce_add())
Python Interop
from python import Python
fn main() raises:
let np = Python.import_module("numpy")
let arr = np.array([1, 2, 3, 4, 5])
print(arr.mean())