Benchmark: mateeeee - MeasureThat.net

Tests:

the
const freq = (string) => [...string].reduce((acc, char) => { return {...acc, [char]: string.split(char).length - 1}; }, {}); freq("rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1");
a
const evalFen = (fen) => { return ( (fen.split("R").length - 1) * 5 + (fen.split(/[BN]/g).length - 1) * 3 + (fen.split("Q").length - 1) * 9 + fen.split("P").length - 1 - ((fen.split("r").length - 1) * 5 + (fen.split(/[bn]/g).length - 1) * 3 + (fen.split("q").length - 1) * 9 + fen.split("p").length - 1) ); }; evalFen("rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
the
a

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.

Measuring JavaScript performance is a complex task, and MeasureThat.net provides a great platform for benchmarking various aspects of the language.

**What's being tested?**

The provided JSON represents two individual test cases:

1. `freq` function: This function takes a string as input and returns an object with character frequencies.
2. `evalFen` function: This function takes a FEN (Forsyth-Edwards Notation) string as input and returns the estimated number of pawns in the position.

**Options compared**

In both test cases, different approaches are used to measure performance:

1. **String manipulation**: The `freq` function uses the `reduce()` method with array iteration.
2. **FEN parsing**: The `evalFen` function uses regular expressions to parse the FEN string.

**Pros and cons of each approach**

1. **String manipulation (freq function)**:
	* Pros: Simple, straightforward implementation; easy to understand for developers familiar with JavaScript arrays.
	* Cons: May be slower due to the overhead of array creation and iteration.
2. **FEN parsing (evalFen function)**:
	* Pros: Can be faster for large FEN strings since regular expressions can take advantage of caching and reusing compiled patterns.
	* Cons: More complex implementation; may require more resources for compilation.

**Library usage**

In the `freq` function, there is no explicit library usage. However, the JavaScript language itself provides the necessary functionality through its built-in features (e.g., `reduce()` method).

**Special JS feature or syntax**

Neither test case explicitly uses any special JavaScript features or syntax.

**Benchmarking considerations**

When benchmarking JavaScript performance, several factors come into play:

1. **Garbage collection**: The frequency and duration of garbage collections can impact performance.
2. **Cache locality**: Optimizations that improve cache locality can reduce memory access overhead.
3. **CPU instructions**: The specific CPU instructions used for operations like string manipulation or FEN parsing can affect performance.

**Other alternatives**

To benchmark JavaScript performance, developers can use other tools and frameworks, such as:

1. V8 Inspector (Chrome DevTools): A built-in debugger and profiler for the V8 JavaScript engine.
2. Node.js Benchmark: A command-line tool for measuring the performance of Node.js applications.
3. Jest or Mocha: Testing frameworks that include built-in benchmarking capabilities.

In summary, MeasureThat.net provides a valuable platform for comparing different approaches to measuring JavaScript performance. By understanding the options being tested and their pros and cons, developers can gain insights into optimization strategies for their own code.

Related benchmarks:

mateeeee (version: 0)

lmao

Comparing performance of: the vs a

Created: 5 years ago by: Guest

Jump to the latest result

the

a

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):