Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
multi-condition
(version: 0)
Comparing performance of:
condition vs property fallback vs IN vs Array Includes vs regex
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function _if(x){return x === 'foo' || x === 'bar'} function _get(x){return {foo: 1, bar: 1}[x] || false} function _in(x){return x in {foo: 1, bar: 1}} function _has(x){return ['foo','bar'].includes(x)} function _reg(x){return /(foo|bar)/.test(x)}
Tests:
condition
_if('nope'); _if('bar');
property fallback
_get('nope'); _get('bar');
IN
_in('nope'); _in('bar');
Array Includes
_has('nope'); _has('bar');
regex
_reg('nope'); _reg('bar');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
Fork
Test case name
Result
condition
property fallback
IN
Array Includes
regex
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the details of this benchmark. **Benchmark Definition** The provided JSON represents a JavaScript microbenchmark named "multi-condition". This benchmark tests different conditions in a JavaScript program to measure their execution performance. Here are the options being compared: 1. `_if(x)`: A simple conditional statement that checks if `x` is equal to either 'foo' or 'bar'. 2. `_get(x)`: A function that returns an object with two properties: 'foo' and 'bar'. If `x` matches one of these values, it returns the corresponding property; otherwise, it returns `false`. 3. `_in(x)`: A function that checks if `x` is present as a key in the object `{ foo: 1, bar: 1 }`. 4. `_has(x)`: A function that uses the `includes()` method to check if `x` is present in an array of values (`['foo', 'bar']`). 5. `_reg(x)`: A regular expression that tests if `x` matches either 'foo' or 'bar'. **Pros and Cons** Here's a brief overview of each option: 1. `_if(x)`: This approach uses a simple conditional statement, which is easy to understand and implement. However, it might not be the most efficient way to perform these checks. 2. `_get(x)`: This approach returns an object with pre-defined properties, making it easy to check for specific values. However, this approach may be slower due to the function call overhead. 3. `_in(x)`: This approach uses a built-in method (`includes()`) to check for presence in an array. It's likely to be one of the faster approaches, as `includes()` is optimized for performance. 4. `_has(x)`: Similar to `_in(x)`, this approach uses a built-in method (`includes()`) and is likely to be efficient. 5. `_reg(x)`: This approach uses regular expressions, which can be slower than other methods due to the complexity of regex patterns. **Library and Purpose** In this benchmark, none of the functions use a specific JavaScript library beyond the basic `includes()` method for checking array presence. However, it's worth noting that using libraries like Lodash or Underscore.js could simplify some of these checks and potentially improve performance. **Special JS Features** There are no special JavaScript features used in this benchmark (e.g., async/await, promises, Web APIs). **Alternatives** Other alternatives to test these conditions could include: 1. Using a simple array-based approach: Instead of using the `_in(x)` and `_has(x)` functions, you could use a simple loop or `indexOf()` method to check for presence in an array. 2. Using regular expressions for multiple conditions: If you had more complex conditionals, you could use regular expressions to simplify them. However, this might not be the best approach for all cases, as regex can be slow and error-prone. In summary, the "multi-condition" benchmark tests various ways of checking conditions in JavaScript, including simple conditional statements, object-based checks, and array-based checks. Each approach has its pros and cons, and understanding these nuances is crucial for optimizing performance-critical code.
Related benchmarks:
if else vs runtime polymorphic
if vs && (condition)
Function call vs. conditional operator 2
if vs && (condition) (false version)
Comments
Confirm delete:
Do you really want to delete benchmark?