Benchmark: RequireJS paths processing

Script Preparation code:

const pathMap = new Map()
pathMap.set('test', 'site/app')
pathMap.set('vendor', 'site/vendor')
window.pathMap = pathMap
window.testId = 'test/lib/alpaca/js/alpaca'

Tests:

path part splitting and joining
const pathMap = window.pathMap const parts = window.testId.split('/') let modified for (let { length } = parts; length > 0; --length) { const parent = parts.slice(0, length).join('/') const path = pathMap.get(parent) if (path) { parts.splice(0, length, path) modified = true break } } const mapped = parts.join('/')
looking up path separators
const pathMap = window.pathMap let mapped = window.testId for (let separator = mapped.length;;) { const parent = mapped.substr(0, separator) const path = pathMap.get(parent) if (path) { mapped = `${path}${mapped.substr(separator)}` break } separator = mapped.lastIndexOf('/', separator - 1) if (separator < 0) break }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
path part splitting and joining
looking up path separators

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark test cases.

**Benchmark Definition**

The benchmark measures how efficiently JavaScript can process paths in two different ways: by splitting and concatenating path parts, or by looking up separators in the path.

**Options Compared**

There are two approaches being compared:

1. **Path part splitting and joining**: This approach involves splitting the path into individual parts and then joining them back together.
2. **Looking up path separators**: This approach involves finding the first separator (e.g., `/`) in the path and using it to look up a corresponding value in the `pathMap`.

**Pros and Cons**

* **Path part splitting and joining**:
	+ Pros: Simple, straightforward approach that can be easily understood by developers.
	+ Cons: May not be as efficient for large paths or complex cases, as it involves repeated string manipulation.
* **Looking up path separators**:
	+ Pros: Can be more efficient than the first approach, especially for large paths, since it only requires a single pass through the path.
	+ Cons: Requires the `pathMap` to be implemented and optimized, which can add complexity.

**Library**

The `pathMap` is a custom object that maps path prefixes to corresponding values. Its purpose is to provide a lookup mechanism for efficiently resolving paths.

**Test Case Interpretation**

For the first test case ("path part splitting and joining"), the benchmark measures how long it takes to:

1. Split the `testId` path into individual parts using `/` as the separator.
2. Join the parts back together, replacing each part with its corresponding value from `pathMap`.

For the second test case ("looking up path separators"), the benchmark measures how long it takes to:

1. Find the first separator in the `mapped` path and use it to look up a corresponding value in `pathMap`.
2. Update `mapped` by concatenating the found value with the remaining part of the path.

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax being tested in this benchmark. The tests are focused on the efficiency of the two different approaches for processing paths.

**Other Alternatives**

If you wanted to test alternative approaches for processing paths, some possible options could include:

* Using a more advanced path resolution algorithm, such as one that uses regular expressions.
* Implementing a custom caching mechanism to store and retrieve path values.
* Comparing the performance of different JavaScript engines or interpreters.
* Testing the performance of these benchmarks on different types of input data (e.g., short vs. long paths).

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4270.0 Safari/537.36

Browser/OS: Chrome 87 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
path part splitting and joining	583397.5 Ops/sec
looking up path separators	1391124.4 Ops/sec

Related benchmarks:

RequireJS paths processing (version: 2)

Replace path prefixes either by splitting and concatenating path parts or by looking up separators in the path.

Comparing performance of: path part splitting and joining vs looking up path separators

Created: 4 years ago by: Registered User

Jump to the latest result

path part splitting and joining

looking up path separators

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):