Benchmark: pedroac Fizz Buzz array allocation

Tests:

push
const fizzBuzz = function(n) { const result = []; for (let i = 1; i <= n; ++i) { if (i % 15 === 0) { result.push('FizzBuzz'); } else if (i % 3 === 0) { result.push('Fizz'); } else if (i % 5 === 0) { result.push('Buzz'); } else { result.push(i.toString()); } } return result; }; fizzBuzz(100);
[i-1]
const fizzBuzz = function(n) { const result = []; for (let i = 1; i <= n; ++i) { if (i % 15 === 0) { result[i-1] = 'FizzBuzz'; } else if (i % 3 === 0) { result[i-1] = 'Fizz'; } else if (i % 5 === 0) { result[i-1] = 'Buzz'; } else { result[i-1] = i.toString(); } } return result; }; fizzBuzz(100);
new Array
const fizzBuzz = function(n) { const result = new Array(n); for (let i = 1; i <= n; ++i) { if (i % 15 === 0) { result[i-1] = 'FizzBuzz'; } else if (i % 3 === 0) { result[i-1] = 'Fizz'; } else if (i % 5 === 0) { result[i-1] = 'Buzz'; } else { result[i-1] = i.toString(); } } return result; }; fizzBuzz(100);
result.length
const fizzBuzz = function(n) { const result = []; result.length = n; for (let i = 1; i <= n; ++i) { if (i % 15 === 0) { result[i-1] = 'FizzBuzz'; } else if (i % 3 === 0) { result[i-1] = 'Fizz'; } else if (i % 5 === 0) { result[i-1] = 'Buzz'; } else { result[i-1] = i.toString(); } } return result; }; fizzBuzz(100);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
push
[i-1]
new Array
result.length

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

The provided benchmark is designed to measure the performance of different ways of creating and populating an array in JavaScript.

**Options being compared:**

1. **Array literal syntax**: `const result = []`
2. **Constructor function syntax**: `new Array(n)`
3. **`push()` method**: `result.push(i-1)`
4. **Pre-allocation with `length` property**: `result.length = n`

**Pros and Cons of each approach:**

1. **Array literal syntax**:
	* Pros: Simple, concise, and widely supported.
	* Cons: May incur overhead due to unnecessary array creation.
2. **Constructor function syntax**:
	* Pros: Provides more control over the array's behavior (e.g., setting initial values).
	* Cons: Less common and may require explicit type casting.
3. **`push()` method**:
	* Pros: Efficient for adding single elements, as it avoids unnecessary memory allocation.
	* Cons: May incur overhead due to repeated `push()` calls, which can lead to memory fragmentation.
4. **Pre-allocation with `length` property**:
	* Pros: Reduces the number of array allocations, resulting in better performance.
	* Cons: Requires manual pre-allocation and may not be suitable for all scenarios.

**Library usage:**

None of the benchmark cases use any external libraries.

**Special JS features or syntax:**

1. **`i-1`**: The test case `"[i-1]"` uses a clever indexing trick to access array elements without incrementing the index variable `i`. This is done by subtracting 1 from `i` and using the result as the index.
2. **Type coercion**: In the constructor function syntax, the `new Array(n)` call involves type coercion (e.g., `n` being coerced to a number), which may incur additional overhead.

**Other alternatives:**

* **Spread operator (`...`)**: Not used in any of the benchmark cases.
* **Array.from()**: Not used in any of the benchmark cases.
* **Object creation with `{}`**: Not used in any of the benchmark cases.

The benchmark results provide insight into which approach is most efficient for this specific use case. The `push()` method and pre-allocation with `length` property seem to offer good performance, while the array literal syntax incurs more overhead.

Related benchmarks:

pedroac Fizz Buzz array allocation (version: 1)

Comparing performance of: push vs [i-1] vs new Array vs result.length

Created: 4 years ago by: Registered User

Jump to the latest result

push

[i-1]

new Array

result.length

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):