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Conditional non-empty Map clearing
(version: 0)
Comparing performance of:
clear vs conditional clear vs loose conditional clear
Created:
4 years ago
by:
Guest
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Script Preparation code:
const obj = {}; const obk = {}; const obi = {}; const arr = [ [obj, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [obk, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [obi, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], [{}, 1], ]; var map1 = new Map(arr);
Tests:
clear
map1.clear();
conditional clear
if (map1.size > 0) { map1.clear(); }
loose conditional clear
if (map1.size) { map1.clear(); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
clear
conditional clear
loose conditional clear
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 provided benchmark measures the performance of clearing a Map object in three different scenarios: `clear`, `conditional clear`, and `loose conditional clear`. A Map is a built-in JavaScript data structure that stores key-value pairs, similar to an object but with additional features like iteration and iteration ordering. **Test Case 1: `clear`** The first test case simply calls the `clear()` method on the Map object without any conditions. This test checks the performance of direct access and manipulation of the Map's internal data structure. Pros: * Simple and straightforward * Easy to understand and implement Cons: * May not accurately reflect real-world usage patterns (e.g., no error handling or boundary checking) * Can be slow due to the overhead of accessing and manipulating the underlying data structure **Test Case 2: `conditional clear`** The second test case uses an if-statement to check the size of the Map before calling `clear()`. This test simulates a common use case where developers need to ensure the Map is not empty before clearing it. Pros: * More representative of real-world usage patterns * Helps to identify potential issues with error handling or boundary checking Cons: * May introduce additional overhead due to the conditional check * Can be slower than the `clear()` method alone **Test Case 3: `loose conditional clear`** The third test case uses a loose if-statement (without parentheses) to check if the Map's size is greater than 0 before calling `clear()`. This test combines the simplicity of the direct `clear()` call with some basic error handling. Pros: * Balances performance and safety * More efficient than the `conditional clear` case Cons: * May still introduce some overhead due to the conditional check * Can be slower than the `clear()` method alone if the Map is large **Library Used** The benchmark uses JavaScript's built-in `Map` data structure, which is a part of the ECMAScript standard. The `Map` object provides an efficient way to store and iterate over key-value pairs, making it suitable for this type of performance test. **Other Considerations** When interpreting the results, consider the following: * **DevicePlatform**: The benchmark was run on a desktop device with macOS 10.15.7. * **OperatingSystem**: The operating system is not explicitly specified, but based on the `RawUAString`, it appears to be Chrome 96 running on Mac OS X. * **ExecutionsPerSecond**: This value represents the number of executions per second for each test case. **Alternatives** If you're looking for alternative approaches or alternatives, consider: * Using other data structures like objects or arrays * Implementing custom clearing logic for performance-critical applications * Optimizing Map operations using specialized libraries or techniques
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