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Mod vs Bin
(version: 0)
Comparing performance of:
Mod Inline vs Mod Func vs Mod For vs Bin Inline vs Bin Func vs Bin For
Created:
3 years ago
by:
Guest
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Tests:
Mod Inline
const data = [...Array(5000).keys()]; const isOddBinary = (n) => n & 1; const isOddModulo = (n) => n % 2; data.map((v, i) => i % 2 ? "foo" : "bar");
Mod Func
const data = [...Array(5000).keys()]; const isOddBinary = (n) => n & 1; const isOddModulo = (n) => n % 2; data.map((v, i) => isOddModulo(i) ? "foo" : "bar");
Mod For
const data = [...Array(5000).keys()]; const isOddBinary = (n) => n & 1; const isOddModulo = (n) => n % 2; for (let i = 0; i < data.length; i++) { const v = data[i]; isOddModulo(i) ? "foo" : "bar"; }
Bin Inline
const data = [...Array(5000).keys()]; const isOddBinary = (n) => n & 1; const isOddModulo = (n) => n % 2; data.map((v, i) => i & 1 ? "foo" : "bar");
Bin Func
const data = [...Array(5000).keys()]; const isOddBinary = (n) => n & 1; const isOddModulo = (n) => n % 2; data.map((v, i) => isOddBinary(i) ? "foo" : "bar");
Bin For
const data = [...Array(5000).keys()]; const isOddBinary = (n) => n & 1; const isOddModulo = (n) => n % 2; for (let i = 0; i < data.length; i++) { const v = data[i]; isOddBinary(i) ? "foo" : "bar"; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (6)
Previous results
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Test case name
Result
Mod Inline
Mod Func
Mod For
Bin Inline
Bin Func
Bin For
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Overview** The benchmark measures the performance of two approaches: modulo (Mod) and binary (Bin). The test cases are designed to compare the execution speed of different methods for checking whether a number is odd. We'll explore each approach, its pros and cons, and other considerations. **Modulo (Mod)** In Mod, we use the modulo operator (`%`) to check if a number is odd. This approach is straightforward: ```javascript isOddModulo(n) => n % 2; ``` Pros: * Simple and easy to understand. * Well-supported by most browsers and environments. Cons: * May be slower than other approaches due to the modulo operation's overhead. **Binary (Bin)** In Bin, we use a bitwise AND operation (`&`) to check if a number is odd. This approach is different from Mod: ```javascript isOddBinary(n) => n & 1; ``` Pros: * Often faster than Mod due to the optimized nature of bitwise operations. Cons: * May require more CPU cycles, especially for larger numbers. * Some browsers or environments may not support this approach. **Other Considerations** Other factors that might affect performance include: * Function call overhead: In the test cases, we see functions being called repeatedly. This can introduce additional overhead, which might slow down Mod compared to Bin's inline operations. * Array iteration: The test data is an array of 5000 numbers. This means that for every number, we're performing a modulo or binary operation and then iterating over the result. For large arrays, this could lead to slower performance in certain approaches. **Library Usage** MeasureThat.net doesn't use any external libraries in these test cases. The script preparation code only includes the benchmarking script itself, which defines the `isOddModulo` and `isOddBinary` functions. **Special JS Features or Syntax** There are no special JavaScript features or syntax used in this benchmark. All operations are standard JavaScript and can be executed by most modern browsers or environments. **Alternatives** For larger-scale benchmarks or performance testing, you might consider alternatives such as: * V8 Benchmark Suite: A comprehensive benchmarking suite for measuring the performance of different JavaScript engines. * JSPerf: A benchmarking tool specifically designed for comparing the performance of JavaScript code. * WebAssembly-based benchmarks: For measuring performance on WebAssembly-enabled platforms. These alternatives can provide more detailed and accurate results, but they often require more complex setup and configuration.
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