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nested function
(version: 0)
Comparing performance of:
not nested vs nested
Created:
3 years ago
by:
Guest
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Tests:
not nested
a(1); function a(x) { return b(x + 1); } function b(x) { return c(x + 1); } function c(x) { return x + 1; }
nested
a(1); function a(x) { return b(x + 1); function b(x) { return c(x + 1); function c(x) { return x + 1; } } }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
not nested
nested
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36
Browser/OS:
Chrome 134 on Linux
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Test name
Executions per second
not nested
10356456.0 Ops/sec
nested
18075920.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to help you understand what's being tested in the provided JSON benchmark data. **What is being tested?** The test cases are designed to measure the performance difference between two approaches: 1. **Non-nested function calls**: The first approach, denoted by "not nested", tests the execution time of a single function call without nesting. 2. **Nested function calls**: The second approach, denoted by "nested", tests the execution time of a nested function call. **Options compared** The benchmark compares two options: 1. **Simple function call**: A direct call to `b(x + 1)` without any nesting. 2. **Nested function call**: A call to `a(1)`, which in turn calls `b(x + 1)`, and then `c(x + 1)` is called, resulting in a nested call chain. **Pros and cons of each approach** **Non-nested function calls (Simple)** Pros: * Easy to understand and predict the execution flow. * Fewer stack frames, which can result in faster execution. Cons: * The interpreter may perform additional checks or optimizations that could impact performance. * The test may not accurately reflect real-world scenarios where functions are often nested. **Nested function calls (Complex)** Pros: * More realistic representation of real-world code, where functions are often nested. * Can better capture the complexity of modern JavaScript codebases. Cons: * Increases the risk of stack overflows or other issues due to excessive nesting. * May be slower due to additional overhead from the interpreter. **Library usage** In this benchmark, no libraries are explicitly mentioned. However, it's worth noting that some libraries like `lodash` or ` underscore.js` might be used in real-world codebases to simplify function calls and reduce nesting. **Special JavaScript features/syntax** There are no special JavaScript features or syntax mentioned in the provided data. The focus is solely on measuring the performance difference between two functional programming approaches. **Other alternatives** If you wanted to add more test cases, some alternative approaches could be: * **Closure-based function calls**: Using closures (e.g., `var outer = (function() { var inner = (function() { ... }()); return inner; });`) instead of traditional function calls. * **Function expressions vs. functions declared with 'let' or 'const'**: Comparing the performance of function declarations (`function a(x) { ... }`) versus function expressions (`var a = function(x) { ... };`). * **Arrow functions vs. traditional functions**: Measuring the performance difference between arrow functions (e.g., `a(x) => { ... }`) and traditional functions with `function` keywords. Keep in mind that adding new test cases should be done with caution, as it's essential to ensure that the additional tests accurately represent real-world scenarios and don't introduce unnecessary complexity or overhead.
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