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number ass testing v2
(version: 0)
- https://github.com/MikeMcl/bignumber.js/tree/v9.0.0 - https://github.com/MikeMcl/big.js/tree/v5.2.2 - https://github.com/MikeMcl/decimal.js/tree/v10.2.0
Comparing performance of:
parseint all number vs parseint all string vs native vs without parseint
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<!--script src="https://raw.githubusercontent.com/iriscouch/bigdecimal.js/v0.6.1/lib/bigdecimal.js"></script--> <script src="https://cdnjs.cloudflare.com/ajax/libs/bignumber.js/9.0.1/bignumber.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/big.js/6.0.3/big.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/decimal.js/10.2.1/decimal.min.js"></script> <!--script src="https://raw.githubusercontent.com/infusion/Fraction.js/v4.0.12/fraction.min.js"></script-->
Tests:
parseint all number
var a = 9999; var b = 9999; (parseInt(a) + parseInt(b)).toString()
parseint all string
var a = '9999'; var b = '9999'; (parseInt(a) + parseInt(b)).toString()
native
var a = 9999; var b = 9999; (a+b).toString()
without parseint
var a = '9999'; var b = '9999'; (+a + +b).toString()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
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Test case name
Result
parseint all number
parseint all string
native
without parseint
Fastest:
N/A
Slowest:
N/A
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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. **What is being tested?** The benchmark tests four different approaches to add two numbers or strings and convert the result to a string: 1. `parseInt(a) + parseInt(b)` (with both inputs as numbers) 2. `parseInt(a) + parseInt(b)` (with one input as a string and the other as a number) 3. `(a+b).toString()` (using the built-in addition operator and then converting to a string) 4. `(+a + +b).toString()` (without using `parseInt` with implicit conversion using unary plus) **Options compared:** The benchmark compares the performance of these four approaches: * **Pros and Cons:** + Approach 1 (`parseInt(a) + parseInt(b)`): Simple and intuitive, but may lead to performance issues if both inputs are large numbers or strings. Pros: easy to understand and implement. Cons: can be slow. + Approach 2 (`parseInt(a) + parseInt(b)` with one input as a string and the other as a number): Similar to approach 1, but adds an extra layer of complexity due to the implicit conversion. Pros: handles both types of inputs. Cons: may lead to performance issues. + Approach 3 `(a+b).toString()`: Uses built-in operators, which can be faster than manual parsing and adding. Pros: concise and efficient. Cons: may not handle edge cases well. + Approach 4 (`(+a + +b).toString()`): Without using `parseInt`, this approach relies on implicit conversion using unary plus. Pros: handles both types of inputs without additional dependencies. Cons: can lead to performance issues due to unnecessary conversions. * **Other considerations:** + Big.js and big-number.js libraries are used for precise arithmetic operations, which may impact performance in some cases. + Fraction.js is not actually used in any of the benchmark definitions. **Library descriptions:** 1. **Big.js**: A JavaScript library for arbitrary-precision arithmetic, designed to be fast and efficient. 2. **Big-number.js**: Another JavaScript library for precise arithmetic operations, with a focus on simplicity and ease of use. 3. **Decimal.js**: A JavaScript library for decimal arithmetic, designed to handle precision and rounding issues. **Special JS features or syntax:** The benchmark definitions do not explicitly use any special JavaScript features or syntax beyond the standard addition operator (`+`). However, it's worth noting that the `parseInt` function is used in all four approaches, which may have implications for performance and compatibility across different browsers and environments. **Alternatives:** If you're looking to optimize this benchmark or create similar ones, consider exploring other JavaScript libraries and techniques, such as: * Using native WebAssembly arithmetic operations (e.g., with wasm-ast) * Implementing custom arithmetic algorithms for specific use cases * Leveraging modern browser features like SIMD instructions (e.g., with Emscripten) Keep in mind that the best approach will depend on your specific requirements and performance considerations.
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