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symmetric difference of sets
(version: 0)
Various ways of getting A Δ B = (A\B) ∪ (B\A) = (A ∪ B) \ (A ∩ B)
Comparing performance of:
Direct approach vs Using diff(union)(inter) vs Using union(diff)(diff)
Created:
3 years ago
by:
Guest
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Tests:
Direct approach
a = ['a', 'b', 'c', 'd'] b = ['a', 'b', 'e', 'f'] let xor = a => b => [...a, ...b].filter(x => a.includes(x) ^ b.includes(x)) c = xor(a)(b)
Using diff(union)(inter)
a = ['a', 'b', 'c', 'd'] b = ['a', 'b', 'e', 'f'] let inter = a => b => a.filter(x => b.includes(x)) let union = a => b => [...a, ...b] let diff = a => b => a.filter(x => !b.includes(x)) let xor = a => b => diff(union(a)(b))(inter(a)(b)) c = xor(a)(b)
Using union(diff)(diff)
a = ['a', 'b', 'c', 'd'] b = ['a', 'b', 'e', 'f'] let union = a => b => [...a, ...b] let diff = a => b => a.filter(x => !b.includes(x)) let xor = a => b => union(diff(a)(b))(diff(b)(a)) c = xor(a)(b)
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Suite status:
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Test case name
Result
Direct approach
Using diff(union)(inter)
Using union(diff)(diff)
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N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is an essential task for software engineers, and MeasuringThat.net provides a convenient platform to do so. The provided benchmark definition represents the symmetric difference of sets, which can be calculated using different approaches. The goal is to find the most efficient way to compute this operation. **Options compared:** Three test cases are compared: 1. **Direct approach**: This method uses the `includes()` and `filter()` methods directly on arrays. 2. **Using diff(union)(inter)**: This approach uses three intermediate functions: `diff()`, `union()`, and `inter()`. The `diff()` function calculates the difference between two sets, `union()` combines two sets, and `inter()` finds the intersection of two sets. These intermediate functions are then composed to calculate the symmetric difference. 3. **Using union(diff)(diff)**: This approach uses two intermediate functions: `union()` and `diff()`. The `union()` function combines two sets, and the `diff()` function calculates the difference between two sets. These intermediate functions are then composed to calculate the symmetric difference. **Pros and cons of each approach:** 1. **Direct approach**: * Pros: Simple and straightforward implementation. * Cons: May be slow due to the use of `includes()` and `filter()` methods, which can lead to additional overhead (e.g., searching the array for each element). 2. **Using diff(union)(inter)**: * Pros: Breaks down the calculation into smaller, more manageable steps, making it easier to understand and optimize. * Cons: Adds unnecessary complexity with multiple intermediate functions, which may increase execution time due to function call overhead. 3. **Using union(diff)(diff)**: * Pros: Similar to the previous approach, but reduces the number of intermediate functions. * Cons: Still adds some complexity compared to the direct approach. **Library and special JS features:** None of the test cases use a specific JavaScript library or a new feature (e.g., ES6+ syntax). However, note that modern browsers like Firefox 109 are using their Gecko engine, which is based on an older version of SpiderMonkey. While this may not be relevant to the benchmarking itself, it's worth mentioning. **Other alternatives:** There are other ways to calculate the symmetric difference of sets, such as: * Using `set` data structures (e.g., `Set()` constructor in modern JavaScript) * Utilizing bitwise operations (e.g., XOR and AND bitwise operators) Keep in mind that these alternative approaches might not be included in the benchmarking framework. In summary, the MeasuringThat.net benchmark compares three different approaches to calculating the symmetric difference of sets: a direct approach, an intermediate-function-based approach using `diff(union)(inter)`, and another approach using `union(diff)(diff)`. Each approach has its pros and cons, which can be influenced by factors like execution time and code complexity.
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