Benchmark: ternary vs if - MeasureThat.net

Script Preparation code:

var tr = (v)=> v != null && v !== false;

Tests:

ter
((v)=> tr(v) ? 123 : 456)("asdf"); ((v)=> tr(v) ? 123 : 456)(false); ((v)=> tr(v) ? 123 : 456)(true);
if
((v)=> { if (tr(v)) { return 123; } else { return 456; } })("asdf"); ((v)=> { if (tr(v)) { return 123; } else { return 456; } })(false); ((v)=> { if (tr(v)) { return 123; } else { return 456; } })(true);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ter
if

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 benchmark and explain what's being tested.

The provided JSON represents a JavaScript microbenchmark, which measures the performance of two different approaches: ternary operator (`ternary`) and traditional `if` statement.

**Benchmark Definition**

The "Script Preparation Code" section defines a small function called `tr`, which takes a value `v` as input. The `tr` function checks if `v` is not null and not equal to false using the strict equality operator (`!==`). If the condition is true, it returns the value of `v`; otherwise, it returns 456.

The "Html Preparation Code" section is empty, indicating that no HTML code is being executed as part of this benchmark.

**Individual Test Cases**

There are two test cases:

1. The first test case uses the ternary operator (`ternary`) to execute a function with three different inputs: `"asdf"`, `false`, and `true`. For each input, the function returns either 123 or 456 depending on the condition.
2. The second test case uses a traditional `if` statement to execute the same function as in the first test case.

**Options Compared**

The benchmark compares two options:

* Ternary operator (`ternary`): A concise way to express a simple conditional statement using the `?:` operator.
* Traditional `if` statement (`if`): A more verbose way to express a conditional statement, which can be useful in situations where you need to perform multiple checks or actions.

**Pros and Cons**

**Ternary Operator (ternary)**

Pros:

* Concise and readable code
* Reduces the amount of boilerplate code
* Can improve performance due to its simplicity

Cons:

* May be less readable for complex conditions or multi-step logic
* Limited flexibility in terms of error handling and fallbacks

**Traditional If Statement (if)**

Pros:

* More flexible and reusable code
* Easier to read and understand for complex conditions or multi-step logic
* Can handle errors and exceptions more effectively

Cons:

* More verbose code, which can lead to performance overhead due to the additional overhead of parsing and execution

**Library Used**

In this benchmark, no library is used. However, if you were to modify the `tr` function to use a library like Lodash or Ramda, it might provide additional utility functions for working with conditions and filtering.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in this benchmark. The code only uses standard ECMAScript 2020+ syntax.

**Alternatives**

Other alternatives for implementing conditional statements include:

* Switch statement: A more complex alternative to the traditional `if` statement, which can be useful when working with multiple conditions.
* Object literal expressions: Using objects to store and evaluate conditions, which can provide a concise way to express logic in some situations.
* Template literals: Using template literals to create dynamic strings or values, which can provide a more readable way to express certain types of logic.

Keep in mind that each alternative has its own trade-offs and use cases. The choice ultimately depends on the specific requirements and constraints of your project.

Related benchmarks:

ternary vs if (version: 0)

Comparing performance of: ter vs if

Created: 5 years ago by: Guest

Jump to the latest result

ter

if

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):