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if else if [VS] if if
(version: 0)
Comparing performance of:
if else if vs if if if ...
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function testIf(val) { if (val < 0.2) { return '0.2'; } if (val < 0.4) { return '0.4'; } if (val < 0.6) { return '0.6'; } if (val < 0.8) { return '0.8'; } if (val < 1.0) { return '1.0'; } return '5' } function testIfElse(val) { if (val < 0.2) { return '0.2'; } else if (val < 0.4) { return '0.4'; } else if (val < 0.6) { return '0.6'; } else if (val < 0.8) { return '0.8'; } else if (val < 1.0) { return '1.0'; } else { return '5' } }
Tests:
if else if
testIfElse(Math.random())
if if if ...
testIf(Math.random())
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
if else if
if if if ...
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:125.0) Gecko/20100101 Firefox/125.0
Browser/OS:
Firefox 125 on Windows
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Executions per second
if else if
66967220.0 Ops/sec
if if if ...
67048972.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark definition and options being compared. **Benchmark Definition** The benchmark consists of two individual test cases: 1. `testIfElse(Math.random())`: This test case uses the `if-else if` statement with the condition `val < 0.2`, `val < 0.4`, etc., and returns a string value based on the comparison. 2. `testIf(Math.random())`: This test case uses only the `if` statement with multiple conditions in a row, similar to the first one. **Options Compared** The two options being compared are: A) **`if-else if`**: This approach uses an `if-else if` structure to check multiple conditions. It's commonly used in programming because it allows for a clear and concise way to handle multiple cases. Pros: * Easy to read and understand * Allows for easy handling of multiple cases Cons: * Can be slower than using only `if` statements with multiple conditions in a row, as the browser needs to execute each condition separately. * May lead to longer execution times due to the additional overhead of conditional checks. B) **Single `if` statement with multiple conditions**: This approach uses a single `if` statement with multiple conditions concatenated together. It's often used when performance is critical and every millisecond counts. Pros: * Can be faster than using an `if-else if` structure, as it reduces the number of conditional checks. * May lead to shorter execution times due to reduced overhead. Cons: * Can make the code harder to read and understand, especially for complex conditions. * May lead to more bugs or errors due to the increased complexity. **Other Considerations** When writing benchmarks like this one, it's essential to consider other factors that can impact performance, such as: * **Function call overhead**: How many times does the function `testIf` or `testIfElse` get called? More calls can lead to more overhead. * **Return value size**: What is the size of the return value in bytes? Larger values can increase execution time due to memory allocation and copying. * **Data type**: Are the data types used in the conditions (e.g., integers, floats) the same as those in the actual usage scenarios? **Libraries Used** Neither test case uses a library. However, if we were to analyze the `testIf` function, it's possible that a custom implementation or a utility function from a library like Lodash could be used. **Special JS Feature/Syntax** There is no mention of special JavaScript features or syntax being used in these benchmark cases. The code only uses basic JavaScript constructs and data types. In conclusion, the two options compared are **`if-else if`** and single `if` statement with multiple conditions. While both approaches have their pros and cons, the choice ultimately depends on the specific requirements of the project or application being developed.
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