Benchmark: indexOf vs mtch - MeasureThat.net

Tests:

indexOf
let str=`[object Map(3) { "a" => 12, "b" => [object Object { c: 0 }], "d" => [object MyClass { asd(), bsd() a: 0 }] }]`; str.indexOf("[object")
match
let str=`[object Map(3) { "a" => 12, "b" => [object Object { c: 0 }], "d" => [object MyClass { asd(), bsd() a: 0 }] }]`; str.match(/\[object/)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
indexOf
match

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 data and explain what's being tested.

**Benchmark Definition**

The benchmark definition is not explicitly mentioned in the JSON, but based on the script preparation code and individual test cases, we can infer that it's testing the performance of two different approaches:

1. `indexOf`: finding a substring within a string using the `indexOf()` method.
2. `match`: finding a pattern within a string using the `match()` method.

**Comparison Options**

The comparison options are not explicitly mentioned in the JSON, but based on the benchmark definition and test cases, we can infer that the following approaches are being compared:

* `indexOf()`
* `match()` with regular expressions (using the `/` symbol to denote a regex pattern)

Other alternatives might include:

* Using `includes()` instead of `indexOf()`
* Using `search()` or `substr()` instead of `indexOf()`
* Using a different regex engine, such as PCRE or JavaScript's built-in regex engine
* Optimizing the string for search (e.g., sorting characters, using a trie data structure)

**Pros and Cons**

Here are some pros and cons of each approach:

* `indexOf()`:
	+ Pros: widely supported, easy to use, efficient for simple searches.
	+ Cons: can be slow for large strings, may not work well with non-ASCII characters, can be case-sensitive.
* `match()` with regular expressions:
	+ Pros: powerful for complex pattern matching, flexible, can be used for string manipulation.
	+ Cons: may be slower than `indexOf()`, can be difficult to read and write, requires proper regex syntax.

**Libraries and Special JS Features**

There is no library mentioned in the JSON, but `MyClass` is referenced in one of the individual test cases. This suggests that the benchmark is testing the performance of a custom class or object.

As for special JS features, there are none explicitly mentioned in the JSON. However, it's worth noting that the use of ES6+ syntax (e.g., template literals, arrow functions) might be assumed in the code, but not explicitly stated.

**Benchmark Preparation Code and Individual Test Cases**

The script preparation code is empty, which suggests that the benchmark is using a default or sample input string.

The individual test cases are:

1. `indexOf`: finds a substring within a string using `indexOf()`.
2. `match`: finds a pattern within a string using `match()` with regular expressions.
3. `MyClass` (not explicitly mentioned in the JSON): likely tests the performance of an instance method or property on the custom class.

**Other Considerations**

When running benchmarks like this, it's essential to consider factors such as:

* Input size and complexity
* String encoding and normalization
* Browser compatibility and optimization
* CPU and memory constraints

To get meaningful results from these benchmarks, it's crucial to:

* Test with a representative set of inputs
* Run multiple iterations and collect statistics
* Consider the performance characteristics of each browser and platform

Keep in mind that this is just an analysis based on the provided JSON data. The actual benchmarking setup and test cases might be more complex or nuanced.

Related benchmarks:

indexOf vs mtch (version: 0)

Comparing performance of: indexOf vs match

Created: 3 years ago by: Guest

Jump to the latest result

indexOf

match

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):