Benchmark: Map lookup or in operator

Script Preparation code:

map = {
  qwerty: 1,
  asdfgh: 2,
  zxcvbn: 3,
  poiuyt: 4,
  lkjhgf: 5,
  mnbvcx: 6,
  dfuehg: 7,
  xzcuow: 8,
  lfghie: 9
}

Tests:

lookup
let a = map['qwerty'] let b = map['xzcuow'] let c = map['aopfig']
in
let a = 'qwerty' in map let b = 'xzcuow' in map let c = 'aopfig' in map

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lookup
in

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36

Browser/OS: Chrome 108 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
lookup	2789807.5 Ops/sec
in	2790691.5 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is defined in two parts: `Script Preparation Code` and `Html Preparation Code`. The former provides a JavaScript object `map` that contains various key-value pairs. The latter is empty, indicating that no HTML preparation code is needed for this specific benchmark.

**Options Compared**

Two options are being compared:

1. **Map lookup using the bracket notation (`[]`)**: This involves accessing a value in the `map` object by its key using the square bracket syntax (`let a = map['qwerty']`, etc.).
2. **Map lookup using the `in` operator**: This involves checking if a key exists in the `map` object and then accessing the corresponding value using the `in` operator (`let a = 'qwerty' in map`, etc.).

**Pros and Cons**

1. **Map lookup with bracket notation**:
	* Pros: Direct access to values, efficient, and concise.
	* Cons: May not work well if keys are not unique (e.g., multiple values with the same key).
2. **Map lookup with `in` operator**:
	* Pros: Handles cases where keys may not be present in the object, provides a way to check existence before accessing value.
	* Cons: Less efficient than direct bracket notation access, as it involves an additional operation (key existence check).

**Library and Purpose**

No external libraries are mentioned in the benchmark definition. The `map` object is created programmatically using JavaScript.

**Special JS Feature or Syntax**

The benchmark utilizes a modern feature called "template literals" (`'\r\n'` in `Script Preparation Code`). Template literals allow you to embed expressions inside string literals, which can be useful for creating complex string concatenations.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

1. **Using the `hasOwnProperty()` method**: Instead of using the `in` operator, you could use `map.hasOwnProperty('key')` to check if a key exists in the object.
2. **Using the `Object.keys()` method**: You could iterate over the keys of the `map` object using `Object.keys(map)` and then access values using array indexing (`map[0]`, etc.).
3. **Using a custom implementation**: Depending on your performance requirements, you might consider implementing a custom lookup mechanism that optimizes for your specific use case.

Keep in mind that these alternatives may have different trade-offs in terms of efficiency, readability, and maintainability.

Related benchmarks:

Map lookup or in operator (version: 0)

Comparing performance of: lookup vs in

Created: 2 years ago by: Guest

Jump to the latest result

lookup

in

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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