Benchmark: Number vs Regex with Str

Script Preparation code:

window.case1 = new Proxy({}, {
  get(t, p, r) {
    if (Number.isInteger(Number(p))) {
      return +p
    }
    else {
      return Reflect.get(t, p, r)
    }
  }
});
window.case2 = new Proxy({}, {
  get(t, p, r) {
    if (/^-?[0-9]+$/.test(p)) {
      return +p
    }
    else {
      return Reflect.get(t, p, r)
    }
  }
});
window.gabage1 = 0;
window.gabage2 = 0;

Tests:

Number
for (let i = 0; i < 1e4;i++) { gabage1 =+ case1[i]; } for (let i = 1.1; i < 1e4;i++) { gabage1 =+ case1[i]; } for (let i = 0; i < 1e4;i++) { gabage1 =+ case1['qwertyuiop']; }
Regex
for (let i = 0; i < 1e4;i++) { gabage1 =+ case1[i]; } for (let i = 1.1; i < 1e4;i++) { gabage1 =+ case1[i]; } for (let i = 0; i < 1e4;i++) { gabage1 =+ case1['qwertyuiop']; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Number
Regex

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and explain what's being tested, compared, and the pros/cons of different approaches.

**Benchmark Overview**

The benchmark measures the performance difference between two approaches to convert strings to integers:

1. **Number**: Uses `Number.isInteger()` with a primitive value (`+p`) as the conversion method.
2. **Regex**: Uses a regular expression (`/-?[0-9]+$/.test(p)`) to check if the input string is a valid integer.

**Script Preparation Code**

The script preparation code sets up two proxies, `case1` and `case2`, with getter functions that return converted values based on the above approaches. The `gabage1` variable is initialized twice to measure the overhead of creating new objects for each iteration.

**Benchmark Test Cases**

There are two test cases:

1. **Number**: Measures the execution time when iterating over a large array (`i < 1e4`) with primitive values and `+p` conversion.
2. **Regex**: Measures the execution time when iterating over a large array (`i < 1e4`) with a valid integer string and the `/^-?[0-9]+$/.test(p)` regular expression.

**Pros and Cons of Each Approach**

1. **Number**:
	* Pros: Simple, efficient, and lightweight.
	* Cons: May not handle non-integer values or NaNs well.
2. **Regex**:
	* Pros: Robust, handles a wide range of input formats, and can be easily extended for more complex parsing.
	* Cons: More computationally expensive due to the regular expression evaluation.

**Library and Syntax**

No external libraries are used in this benchmark. However, it does utilize some JavaScript features like:

* Proxies (`new Proxy()`)
* Getter functions (`get(t, p, r)`)

These features allow for fine-grained control over object behavior and property access, but may be unfamiliar to developers without experience with these aspects of the language.

**Other Alternatives**

If you were to implement this benchmark using a different approach, some alternatives could include:

1. Using `parseInt()` or `parseFloat()` instead of `Number.isInteger()`.
2. Employing a more efficient parsing algorithm, such as a finite state machine.
3. Utilizing a library like `regex-escape` for regular expression manipulation.

Keep in mind that these alternatives might introduce additional complexity or dependencies, which could affect the benchmark's overall outcome and relevance.

Related benchmarks:

Number vs Regex with Str (version: 0)

Comparing performance of: Number vs Regex

Created: 2 years ago by: Guest

Jump to the latest result

Number

Regex

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):