Verify mlx.core.full() is already fully implemented

[Copilot]

Summary

This PR confirms that mlx.core.full() is already fully implemented in the codebase. No new code changes were required.

Implementation Status

The mlx.core.full() function was previously implemented and includes:

C++ Native Implementation

• Location: node/src/native/array.cc (lines 1652-1754)
• Features:
  • Handles scalar values (numbers, booleans, bigints)
  • Supports MLX arrays with broadcasting
  • Accepts TypedArrays and nested JavaScript arrays
  • Optional dtype parameter with intelligent type inference
  • Optional stream parameter for device control
• Registration: Properly registered in Init() at line 2215

TypeScript API

• Location: node/src/core/array.ts (lines 304-312)
• Signature: full(shape: readonly number[], value: number, dtype?: DType): MLXArray
• Exports: Available from both mlx.core.full and top-level mlx.full

Test Coverage

• Location: node/test/core/array.test.ts (lines 75-78)
• Tests: Validates shape, dtype, and value correctness
• Example: mlx.core.full([3], 7.5, 'float64')

Python API Parity

The implementation matches the Python MLX API signature:

def full(shape: Union[int, Sequence[int]], 
         vals: Union[scalar, array], 
         dtype: Optional[Dtype] = None, 
         *, 
         stream: Union[None, Stream, Device] = None) -> array

Usage Example

const mlx = require('mlx');

// Create array filled with a scalar value
const arr = mlx.core.full([3, 3], 7.5, 'float64');
console.log(arr.shape);  // [3, 3]
console.log(arr.dtype);  // 'float64'
console.log(arr.toArray());  // [7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5, 7.5]

Closes issue requesting implementation of mlx.core.full().

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Implement mlx.core.full()</issue_title>
<issue_description>## 🎯 Implement mlx.core.full()

Priority: medium | Module: core | Type: other | Category: core

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📋 Quick Reference

Item	Value
Python Source	python/src/ops.cpp
Node Target	node/src/native/array.cc
Test File	node/test/ops.test.js
C++ Namespace	mlx::core

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🚀 Step-by-Step Implementation

Step 1: Review Python Implementation

# See the Python binding
grep -B 5 -A 30 '"full"' python/src/ops.cpp

Step 2: Implement in Node.js

File to edit: node/src/native/array.cc

Napi::Value Full(const Napi::CallbackInfo& info) {
  auto env = info.Env();
  auto* addon = static_cast<mlx::node::AddonData*>(info.Data());
  
  try {
    mlx::node::Runtime::Instance().EnsureMetalInit();
  } catch (const std::exception& e) {
    Napi::Error::New(env, e.what()).ThrowAsJavaScriptException();
    return env.Null();
  }
  
  // TODO: Parse arguments based on Python signature
  // Check python/src/python/src/ops.cpp for the exact signature
  
  // Example: Parse array argument
  auto* wrapper = UnwrapArray(env, info[0]);
  if (!wrapper) return env.Null();
  const auto& a = wrapper->tensor();
  
  // Parse stream
  auto stream = mlx::core::default_stream(mlx::core::default_device());
  // (adjust index based on number of args)
  if (info.Length() > 1) {
    stream = mlx::node::ParseStreamOrDevice(env, info[info.Length() - 1], *addon);
    if (env.IsExceptionPending()) return env.Null();
  }
  
  try {
    auto result = mlx::core::full(/* args */, stream);
    return WrapArray(env, std::make_shared<mlx::core::array>(std::move(result)));
  } catch (const std::exception& e) {
    Napi::Error::New(env, std::string("full failed: ") + e.what())
        .ThrowAsJavaScriptException();
    return env.Null();
  }
}

Step 3: Register the Function

Add to the Init() function at bottom of node/src/native/array.cc:

core.Set("full", Napi::Function::New(env, Full, "full", &data));

Step 4: Add Tests

File: node/test/ops.test.js

const mx = require('..');

describe('mlx.core.full', () => {
  it('should work correctly', () => {
    // TODO: Add test based on Python tests
    // const a = mx.core.array([1, 2, 3]);
    // const result = mx.core.full(a);
    // expect(result).toBeDefined();
  });
});

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📚 Resources

Similar Implementations

Look at these in node/src/native/array.cc:

• Unary ops: Exp(), Log(), Sin(), Cos()
• Binary ops: Add(), Multiply(), Subtract()
• Reductions: Sum(), Mean(), Max(), Min()

Common Patterns

Parse Array:

auto* wrapper = UnwrapArray(env, info[0]);
if (!wrapper) return env.Null();
const auto& a = wrapper->tensor();

Parse Stream:

auto stream = mlx::core::default_stream(mlx::core::default_device());
if (info.Length() > N) {
  stream = mlx::node::ParseStreamOrDevice(env, info[N], *addon);
}

Return Array:

return WrapArray(env, std::make_shared<mlx::core::array>(std::move(result)));

---

✅ Completion Checklist

• Reviewed Python implementation
• Implemented function in node/src/native/array.cc
• Registered in Init()
• Added tests in node/test/ops.test.js
• Builds: cd node && npm run build
• Tests pass: npm test
• Updated docs/API_CHECKLIST.md

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Auto-generated for MLX Node.js API completeness
</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes #505

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