Benchmark: BRACKETS_IN_MINUS_WORDS_PATTERN2

HTML Preparation code:

t="[длинная-предлинная фраза] [еще скобки] -слово -другое"

Script Preparation code:

t="[длинная-предлинная фраза] [еще скобки] -слово -другое"

Tests:

1
/\s-.*[\[\]]/.test(t)
2
/\s-[^\[\]]*[\[\]]/.test(t)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2

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.

Let's dive into the world of JavaScript microbenchmarks and analyze the provided benchmark.

**Benchmark Definition JSON**

The benchmark definition represents two test cases, each with its own script preparation code and HTML preparation code. These codes are used to generate input strings for testing.

* `BRACKETS_IN_MINUS_WORDS_PATTERN2`: This is a regular expression pattern that tests if there are brackets (`[...]`) in a string preceded by `-` (hyphen) followed by some words.
	+ Script preparation code: `t="длинная-предлинная фраза" [еще скобки] -слово -другое"`
	+ HTML preparation code: same as script preparation code
* Another pattern, likely similar to the first one but with a different test case, is also defined.

**Individual Test Cases**

The two individual test cases are:

1. `/\s-.*[\\\[\\]]/.test(t)`
This regular expression checks if there's any whitespace (`\s`) followed by `-` (hyphen) and then any characters (`.*`) that contain brackets (`[...]`). The `\s-` part matches the `-` character, and the `.*[\\\[\\]]` part matches any characters after the `-`, including the opening bracket.
2. `/\s-[^\\[\\]]*[\\\[\\]].test(t)`
This regular expression checks if there's any whitespace (`\s`) followed by `-` (hyphen) and then some non-bracket characters (`[^\\[\\]]*`) before the brackets (`[...]`). The `\s-` part matches the `-` character, `[^\\[\\]]*` matches any character that is not a bracket, and `[\\\[\\]]` matches the opening bracket.

**Options Compared**

The two test cases compare:

1. Checking for brackets in strings with `-` (hyphen) followed by some words (`.*`) vs.
2. Checking for brackets in strings with `-` (hyphen) followed by some non-bracket characters (`[^\\[\\]]*`) before the brackets (`[...]`).

**Pros and Cons**

1. **Testing for brackets in word boundaries**: The first test case (`/\s-.*[\\\[\\]]/.test(t)`). Pros:
	* More relevant to everyday use cases, as it tests if there are brackets in strings with hyphenated words.
	* Easier to read and maintain code.
Cons:
	* May produce false negatives for certain edge cases (e.g., `-brackets-`).
2. **Testing for brackets in non-word boundaries**: The second test case (`/\s-[^\\[\\]]*[\\\[\\]].test(t)`). Pros:
	+ More accurate and less prone to false negatives.
Cons:
	+ May be less relevant to everyday use cases, as it tests for brackets in strings with hyphenated words followed by non-bracket characters.

**Library Considerations**

There is no library explicitly mentioned in the benchmark definition. However, some JavaScript regex libraries like `regex-tester` or `regex-optimizer` might be used in real-world implementations to simplify and optimize regular expression testing.

**Special JS Feature/Syntax Consideration**

None are mentioned in this specific benchmark.

**Alternatives**

Some alternatives for running JavaScript microbenchmarks include:

1. **Benchmark.js**: A lightweight, fast, and easy-to-use benchmarking library.
2. **Testling**: A high-performance, low-latency benchmarking tool specifically designed for JavaScript.
3. **JSCloudBench**: A cloud-based benchmarking platform for measuring JavaScript performance.

Keep in mind that these alternatives might have different features, usage patterns, or performance characteristics compared to MeasureThat.net.

Overall, the benchmark definition provides a clear and concise representation of two test cases, each with its own pros and cons. The choice between testing for brackets in word boundaries versus non-word boundaries depends on the specific requirements and use cases of your application.

Related benchmarks:

BRACKETS_IN_MINUS_WORDS_PATTERN2 (version: 0)

Comparing performance of: 1 vs 2

Created: 4 years ago by: Guest

Jump to the latest result

1

2

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):