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parseInt vs Number vs implicit conversion
(version: 0)
Comparing performance of:
Implicit conversion vs parseInt vs Number
Created:
4 years ago
by:
Guest
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Script Preparation code:
var intA = 42.034; var strB = "42.034";
Tests:
Implicit conversion
var res = intA + +strB;
parseInt
var res = parseInt(intA) + parseInt(strB);
Number
var res = Number(intA) + Number(strB);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
Fork
Test case name
Result
Implicit conversion
parseInt
Number
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36
Browser/OS:
Chrome 136 on Mac OS X 10.15.7
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Embed Benchmark Result
Test name
Executions per second
Implicit conversion
242620880.0 Ops/sec
parseInt
161231424.0 Ops/sec
Number
237572816.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Overview** The benchmark measures the performance of three different approaches to perform implicit conversions in JavaScript: 1. Using the `+` operator (also known as "implicit conversion" or "type coercion"). 2. Using the `parseInt()` function. 3. Using the `Number()` function. **Test Case Explanation** Each test case is a separate benchmark that tests one of these three approaches. The input variables are: * `intA`: an integer literal (`42.034`) * `strB`: a string literal containing a decimal number (`"42.034"`) The output variable, `res`, is the sum of the two inputs. **Implicit Conversion (Test Case 1)** This test case uses the `+` operator to concatenate and implicitly convert the string to a number. The JavaScript engine will attempt to convert the string "42.034" to a decimal number behind the scenes. Pros: * Simple and easy to implement. * Works well for most cases, as the JavaScript engine is capable of handling implicit conversions. Cons: * Can lead to unexpected behavior if the input string has leading zeros or other formatting that affects its interpretation as a number. * May be slower due to the overhead of type coercion. **parseInt() (Test Case 2)** This test case uses the `parseInt()` function to explicitly convert the integer literal to an integer. The second argument is set to `10`, which means the conversion will be base-10 (decimal). Pros: * Provides explicit control over the conversion process. * Can handle edge cases more accurately, as it allows the developer to specify the radix. Cons: * Requires additional function calls and arguments, which can add overhead. * May not work well for all input types or formats. **Number() (Test Case 3)** This test case uses the `Number()` function to explicitly convert the string literal to a decimal number. This is similar to using `parseInt()`, but it allows the conversion to be base-10 by default. Pros: * Simplifies the conversion process compared to `parseInt()`. * Works well for most cases, as the JavaScript engine can handle implicit conversions. Cons: * May not provide explicit control over the conversion process. * Can lead to unexpected behavior if the input string has leading zeros or other formatting that affects its interpretation as a number. **Library Considerations** None of the test cases use any external libraries. **Special JS Feature/Syntax** The benchmark uses the `+` operator for implicit conversions, which is a built-in JavaScript feature. The `parseInt()` and `Number()` functions are also standard JavaScript functions. **Other Alternatives** If you want to explore alternative approaches, here are some additional options: * Using `parseFloat()` instead of `+` or `parseInt()` for floating-point numbers. * Using regular expressions (e.g., `\d+(\.\d+)?`) to extract numeric values from strings. * Using a dedicated library like `lodash` or `moment.js` for string manipulation and conversion. These alternatives can provide more flexibility, control, or performance in specific use cases, but may also introduce additional overhead or complexity.
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