Benchmark: Filter with lowercase and trim

Script Preparation code:

var options = Array.from({ length: 100000 }).map((_v, idx) => ({
  label: Math.random().toString(16),
  value: idx,
}));

var preProcessed = options.map(({ label, value }) => ({
  value: value.toString(),
  label: label.toLowerCase().trim(),
}));

var lowerCaseInput = '9a';

Tests:

raw
options.filter(({ label, value }) => { return ( label.toLowerCase().trim().includes(lowerCaseInput) || value.toString().trim() === lowerCaseInput ); });
preprocessed
preProcessed.filter(({ label, value }) => { return label.includes(lowerCaseInput) || value === lowerCaseInput; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
raw
preprocessed

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 break down the provided JSON and explain what's being tested, compared, and other considerations.

**Benchmark Definition**

The benchmark definition is a JSON object that represents a test case. It consists of:

* `Name`: The name of the benchmark, which is "Filter with lowercase and trim" in this case.
* `Description`: An empty string, indicating no description for this benchmark.
* `Script Preparation Code`: A JavaScript code snippet that generates an array of objects (`options`) containing random labels and values. This code is used to prepare the input data for the test.
* `Html Preparation Code`: An empty string, indicating no HTML preparation code is needed.

**Options Comparison**

The two main options being compared are:

1. **Raw Input**: The original `options` array with raw label and value strings (e.g., "9a").
2. **Pre-processed Input**: A filtered version of the `options` array where labels and values are converted to lowercase and trimmed, respectively.

**Pros and Cons**

* **Raw Input**:
	+ Pros: May be faster since no additional processing is needed.
	+ Cons: May lead to slower performance due to case sensitivity and potential trimming issues.
* **Pre-processed Input**:
	+ Pros: Can improve performance by reducing the number of matching cases, as only lowercase values are compared.
	+ Cons: Requires additional processing time for converting labels and values.

**Library**

The `lowerCaseInput` variable is likely an internal variable used to represent a specific input string. The exact purpose of this library is unclear without more context, but it's possible that it's used to test the browser's handling of case-insensitive matching or trimming.

**Special JS Feature/Syntax**

There doesn't seem to be any special JavaScript features or syntax being tested in this benchmark. However, the use of `Array.from()` and `map()` functions suggests a modern JavaScript environment.

**Alternatives**

Other alternatives for testing filtering operations might include:

* Testing with different data types (e.g., numbers, booleans) instead of strings.
* Using different comparison operators or logical structures.
* Testing with larger input datasets to simulate real-world scenarios.
* Using parallel execution or concurrency to test performance under heavier loads.

Keep in mind that these alternatives may not be directly applicable to this specific benchmark, but they could provide valuable insights into the broader world of filtering operations and performance optimization.

Related benchmarks:

Filter with lowercase and trim (version: 2)

Comparing performance of: raw vs preprocessed

Created: 3 years ago by: Registered User

Jump to the latest result

raw

preprocessed

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):