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LUT test
(version: 0)
Comparing performance of:
Obj vs Map
Created:
8 years ago
by:
Guest
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Script Preparation code:
var escapeObj = { '<': '<', '>': '>' }; var escapeMap = new Map([['<', '<'], ['>', '>']]);
Tests:
Obj
const a = escapeObj['<'] const b = escapeObj['>'];
Map
const a = escapeMap.get('<'); const b = escapeMap.get('>');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Obj
Map
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 explanation of the provided benchmark. **Benchmark Definition** The benchmark is designed to measure the performance of JavaScript objects and maps in executing simple lookups. The `Script Preparation Code` section provides two different ways to prepare for the test: using an object (`escapeObj`) and a map (`escapeMap`). Both approaches are used in the individual test cases. **Options Compared** Two main options are compared: 1. **Object Lookup**: Using an object (`escapeObj`) with bracket notation (`escapeObj['<']`). 2. **Map Lookup**: Using a map (`escapeMap`) with the `get()` method (`escapeMap.get('<')`). **Pros and Cons of Each Approach** **Object Lookup (using `escapeObj`)** * Pros: + Simple and straightforward implementation. + Fast lookups due to direct access to object properties. * Cons: + Requires a separate object creation, which might incur overhead. + May not be suitable for large datasets or complex objects. **Map Lookup (using `escapeMap`)** * Pros: + Fast lookups with an average time complexity of O(1). + Can handle arbitrary key-value pairs without additional object creation. + More flexible than object lookup, allowing for easy insertion, deletion, and iteration. * Cons: + Requires more overhead due to the map creation and iteration over its keys. + May have slower initial performance due to the need to create the map. **Library: `escapeObj`** The `escapeObj` library is not a separate library but rather a simple object that maps HTML entities to their corresponding escape sequences. It's used as a demonstration of how objects can be used for lookups, providing a controlled and predictable environment for benchmarking. **Special JS Feature or Syntax** There are no special JavaScript features or syntax used in this benchmark. It focuses on basic object lookup and map operations. **Other Considerations** When running this benchmark, consider the following: * The test cases cover both simple and potentially complex scenarios to measure performance under various conditions. * The use of `escapeMap` allows for more flexibility and adaptability in handling different data structures and edge cases. * Keep in mind that this is a microbenchmark focused on execution speed rather than memory usage or other factors. **Alternatives** Other alternatives for similar benchmarks might include: 1. **Array Lookup**: Using arrays instead of objects or maps to measure lookup performance. 2. **Dynamically Allocated Arrays**: Creating and manipulating dynamically allocated arrays to evaluate memory management overhead. 3. **JSON Data Processing**: Using JSON data and various parsing techniques (e.g., `JSON.parse()`) to measure performance under different conditions. Keep in mind that the choice of alternative benchmark will depend on the specific focus or requirements of your project.
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