Benchmark: trim+filter vs filter

Script Preparation code:

var arr = "   arr   qwe   dsf sdfsdc      sdf     ";

Tests:

trim+filter
arr.trim().split(/[, ]/).filter(value => value !== "")
filter
arr.split(/[, ]/).filter(value => value !== "")

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
trim+filter
filter

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 explanation of the provided JSON benchmark.

**Benchmark Definition:**

The benchmark definition is comparing two approaches to process an array of strings:

1. `arr.trim().split(/[, ]/).filter(value => value !== \"\")`
2. `arr.split(/[, ]/).filter(value => value !== \"\")`

Both approaches aim to remove whitespace characters from the input string `arr` and filter out empty values.

**Options Compared:**

The two options being compared are:

1. **Trimming the input string before splitting**: This approach uses the `trim()` method to remove leading and trailing whitespace characters.
2. **Splitting the input string immediately without trimming**: This approach uses the `split()` method with a regular expression to split the input string into an array of substrings, without first removing whitespace characters.

**Pros and Cons:**

1. **Trimming before splitting (Option 1)**:
	* Pros:
		+ Easier to read and maintain code
		+ Reduces the number of operations needed
	* Cons:
		+ May introduce additional overhead due to the `trim()` method
2. **Splitting immediately without trimming (Option 2)**:
	* Pros:
		+ Avoids the potential overhead of the `trim()` method
	* Cons:
		+ Can lead to more complex and harder-to-read code
		+ May require additional logic to handle edge cases (e.g., strings with only whitespace characters)

**Library Used:**

In this benchmark, there is no specific library being used. The operations are performed using built-in JavaScript methods (`trim()` and `split()`) and a custom filter function.

**Special JS Feature or Syntax:**

There is no special JavaScript feature or syntax being tested in this benchmark. However, it's worth noting that the regular expression `/[, ]/` is being used for splitting, which might be unfamiliar to some developers. The regular expression splits on both comma (`,`) and whitespace characters (` `).

**Alternative Approaches:**

Other approaches could include:

* Using a different delimiter or character set in the `split()` method
* Using a more advanced filtering approach, such as using a custom function or a library like Lodash
* Using a different data structure, such as an array of objects instead of an array of strings

It's also worth noting that there are other ways to improve this benchmark, such as:

* Using a larger input string or multiple inputs to make the comparison more meaningful
* Adding more test cases for edge cases (e.g., strings with only whitespace characters)
* Using different browsers or devices to compare results across platforms

Related benchmarks:

trim+filter vs filter (version: 0)

str .trim() .split(/[ ]/) .filter(value => value !== "")

Comparing performance of: trim+filter vs filter

Created: 4 years ago by: Guest

Jump to the latest result

trim+filter

filter

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):