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toFixed vs Math.round -> string
(version: 1)
toFixed vs Math.round when both are eventually embedded into a string.
Comparing performance of:
toFixed vs Math.round
Created:
6 months ago
by:
Guest
Jump to the latest result
Script Preparation code:
var someFloat = 77.123456789;
Tests:
toFixed
`${someFloat.toFixed(0)}`;
Math.round
`${Math.round(someFloat)}`;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
toFixed
Math.round
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
6 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.0.1 Safari/605.1.15
Browser/OS:
Safari 26 on Mac OS X 10.15.7
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Embed Benchmark Result
Test name
Executions per second
toFixed
15305745.0 Ops/sec
Math.round
75098552.0 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated 6 months ago):
The benchmark defined in the JSON focuses on comparing two methods for converting a floating-point number to a string representation: `toFixed` and `Math.round`. Both methods are implemented on a variable called `someFloat` which holds the value `77.123456789`. ### Test Cases Comparison 1. **toFixed**: - **Benchmark Definition**: `` `${someFloat.toFixed(0)}` `` - **Functionality**: The `toFixed` method formats a number using fixed-point notation. Specifically, `toFixed(0)` rounds the number to the nearest integer and returns it as a string. For `someFloat`, this yields `'77'`. - **Pros**: - Can specify the number of digits after the decimal point, making it versatile for various formatting needs. - Always returns a string, which might be convenient in certain contexts. - **Cons**: - Performance might be slower than simple rounding because it performs additional formatting operations. - May introduce quirks due to floating-point arithmetic in some edge cases. 2. **Math.round**: - **Benchmark Definition**: `` `${Math.round(someFloat)}` `` - **Functionality**: The `Math.round` function rounds a number to the nearest integer and returns it as a number. When wrapped in a template literal to create a string, it also results in `'77'`. - **Pros**: - Generally faster than `toFixed`, as it simply rounds the number without any additional formatting. - Straightforward in usage, particularly when you're only concerned with rounding to the nearest integer. - **Cons**: - Returns a number, which may require conversion to a string if such formatting is needed. ### Benchmark Results Analysis Based on the latest benchmark results from a specific environment: - **Math.round**: - **Executions Per Second**: 75,098,552 - Performance is significantly superior, indicating that in this specific case and environment, rounding is more efficient. - **toFixed**: - **Executions Per Second**: 15,305,745 - A notable drop in performance compared to `Math.round`, highlighting the added complexity of formatting operations. ### Other Considerations and Alternatives #### Considerations: - **Accuracy**: The differences in performance might vary across different browsers and environments, so benchmarking in production-like conditions is essential. - **Readability**: While performance is crucial, the readability of code is equally important. Depending on the context, one method may be more appropriate than the other. #### Alternatives: 1. **Custom Rounding Functions**: Developers might implement their own rounding logic, though this can lead to increased complexity and potential bugs. 2. **Using Libraries**: Libraries like `lodash` or `math.js` provide extensive numerical utilities, including rounding methods, but this often comes at the cost of added bundle size due to increased dependency. 3. **Other Number Formatting Functions**: JavaScript also offers other options for formatting numbers, such as `Intl.NumberFormat`, which provides extensive localization capabilities but may be less performant than the direct methods tested. Overall, while `Math.round` is faster for this particular use case, it's important to choose the method that best fits the context and requirements of your application analysis.
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