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Test array.slice with big array length
(version: 0)
Comparing performance of:
Index 0 vs Index 100 vs Index 5000 vs Index 9999
Created:
2 years ago
by:
Guest
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Script Preparation code:
var length = 10000 var tenk = new Array(length);
Tests:
Index 0
tenk.slice(0 * length, (0 + 1) * length)
Index 100
tenk.slice(100 * length, (100 + 1) * length)
Index 5000
tenk.slice(5000 * length, (5000 + 1) * length)
Index 9999
tenk.slice(9999 * length, (9999 + 1) * length)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
Index 0
Index 100
Index 5000
Index 9999
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. **What is being tested?** The provided JSON represents a benchmark test case on MeasureThat.net, where users can create and run JavaScript microbenchmarks. Specifically, this test case measures the performance of the `Array.slice()` method with different starting and ending indices on a large array (`tenk`) created in advance. **Options compared:** There are four different approaches being compared: 1. **Index 0**: Starting index is 0, which means the slice operation will return the first element of the array (the `tenk` array has 10,000 elements). 2. **Index 100**: Starting index is 100, which means the slice operation will return a subset of the middle elements of the array. 3. **Index 5000**: Starting index is 5,000, which means the slice operation will return a subset of the second half of the array (the last 5,000 elements). 4. **Index 9999**: Starting index is 9,999, which means the slice operation will return the last element of the array. **Pros and cons of each approach:** 1. **Index 0**: This approach is likely to be the fastest since it only involves accessing a single element. 2. **Index 100**: This approach is more challenging for the browser's JavaScript engine, as it requires accessing a larger subset of elements without knowing their indices in advance. 3. **Index 5000**: Similar to Index 100, this approach is less predictable and may require additional calculations or data structures to optimize performance. 4. **Index 9999**: This approach is likely to be slower than Index 0 since it requires accessing the last element of a large array. **Library usage:** None of the provided benchmark definitions use any external libraries. **Special JS features or syntax:** There are no special JavaScript features or syntax used in this test case. The code only uses standard JavaScript syntax and built-in methods like `Array.slice()`. **Other alternatives:** Some alternative approaches to measuring performance might include: * Using a different data structure, such as an object or a set, instead of an array. * Incorporating additional computational overhead, such as encryption or hashing algorithms. * Using a different browser or JavaScript engine configuration. * Adding additional variables or dependencies that could affect performance. Keep in mind that the choice of approach will depend on the specific use case and requirements of the benchmark.
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at(-1) vs slice(-1)[0] vs length - 1
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