Benchmark: Placeholder Generator

Script Preparation code:

function* placeHolders(array) {
  if (array.every(n => n === 0)) array.unshift(1);
  let total = Number(array.join(""));
  for (let i = 0; i < total; i++) yield i;
}

Tests:

0 - 999
[...placeHolders([0, 0, 0])]
0 - 9999
[...placeHolders([0, 0, 0, 0])]
0 - 99999
[...placeHolders([0, 0, 0, 0, 0])]
0 - 999999
[...placeHolders([0, 0, 0, 0, 0, 0])]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
0 - 999
0 - 9999
0 - 99999
0 - 999999

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Windows

View result in a separate tab

Test name	Executions per second
0 - 999	22710.2 Ops/sec
0 - 9999	2345.1 Ops/sec
0 - 99999	213.1 Ops/sec
0 - 999999	20.6 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated 4 months ago):

LLMs can make mistakes. Check important info.

The benchmark defined in the provided JSON represents a performance test for a generator function called `placeHolders`, which generates a sequence of numbers based on an input array. Here's a comprehensive explanation of the benchmark setup, test cases, and the various considerations involved.

### Benchmark Overview
The main function under test is a generator defined as follows:

```javascript
function* placeHolders(array) {
  if (array.every(n => n === 0)) array.unshift(1);
  let total = Number(array.join(""));
  for (let i = 0; i < total; i++) yield i;
}
```

**Purpose of the Function:**
- The `placeHolders` function takes an array of numbers, checks if all elements are `0`, and if so, it prepends `1` to the array. 
- It concatenates the array into a single number (e.g., `[0, 0, 0]` becomes `0`, while `[1]` becomes `1`). 
- It yields numbers from `0` up to one less than this concatenated number.
- This generator can be useful for creating a sequence of "placeholders," which could be used for various scenarios, such as filling spaces in data structures or simulating iterations.

### Individual Test Cases
Each test case based on the benchmark gradually increases the number of zeros in the input array, which affects the `total` number of yielded items:

1. **Test Case 1 - "0 - 999":** 
   - Input: `[0, 0, 0]` 
   - `total` is `0`, yielding an empty sequence. 
   - **Executions Per Second:** 22710.16 (fast as it yields no items).

2. **Test Case 2 - "0 - 9999":**
   - Input: `[0, 0, 0, 0]` 
   - `total` is `0`, also yielding an empty sequence.
   - **Executions Per Second:** 2345.05.

3. **Test Case 3 - "0 - 99999":**
   - Input: `[0, 0, 0, 0, 0]`
   - `total` is `0`, and thus yields no items.
   - **Executions Per Second:** 213.10.

4. **Test Case 4 - "0 - 999999":**
   - Input: `[0, 0, 0, 0, 0, 0]`
   - `total` is `0`, and thus yields no items.
   - **Executions Per Second:** 20.61.

### Pros and Cons of the Method
**Pros:**
- **Simplicity:** The generator approach can be more memory-efficient than creating and returning a large array, especially when yielding a large sequence.
- **Lazy Evaluation:** Values are produced on-demand, which can help manage performance when dealing with potentially large quantities of data.

**Cons:**
- **Limited Testing Range:** As shown in these benchmarks, when all array values are zero, no items are yielded, which makes performance less indicative across different scenarios.
- **Lower Performance on Larger Arrays:** The yield mechanism introduces overhead that can lead to decreased performance with larger inputs.

### Other Considerations
- **Execution Environment:** The benchmarks are run in a Chrome browser. Results might differ across different environments or browser versions, revealing strengths or weaknesses in the JavaScript engines.
- **Input Variety:** It would be insightful to test with various numbers (e.g., non-zero integers) rather than only zeros, to better evaluate performance characteristics across scenarios.

### Alternatives to this Approach
1. **Array Methods:** Using `Array.from` or `Array.prototype.map` to create arrays instead of yielding values.
2. **Traditional Looping:** Using basic for loops to generate values can often yield higher performance in terms of execution because of less overhead compared to generators.
3. **Memoization:** Caching results of expensive computations can be more efficient when dealing with repeated calls; however, it comes with increased memory usage.
  
Overall, the provided benchmark thoroughly examines how the `placeHolders` function performs under different conditions, though expanding the range of input scenarios would yield more comprehensive insights into its performance characteristics.

Related benchmarks:

Placeholder Generator (version: 1)

Comparing performance of: 0 - 999 vs 0 - 9999 vs 0 - 99999 vs 0 - 999999

Created: 4 months ago by: Registered User

Jump to the latest result

0 - 999

0 - 9999

0 - 99999

0 - 999999

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated 4 months ago):