Benchmark: Array compaction v3

Script Preparation code:

function collapsePrev(array) {
  const result = [];

  let prev = '';
  for (const n of array) {
    if (n !== '*') {
      result.push(prev + n);
      prev = '';
    } else {
      prev = '*';
    }
  }

  return result;
}

function collapsePrev2(array) {
  const result = [];

  let prev = false;
  for (const n of array) {
    if (n !== '*') {
      if (prev) {
         result.push('*' + n);
         prev = false;
      }
	  else
        result.push(n);
    }
	else
      prev = true;
  }

  return result;
}

var data = [
  '0',
  '1',
  '2',
  '3',
  '4',
  '5',
  '6',
  '*',
  '*',
  '9',
  '10',
  '11',
  '12',
  '13',
  '14',
  '15',
  '16',
  '17',
  '18',
  '19',
  '20',
  '21',
  '22',
  '23',
  '24',
  '25',
  '26',
  '27',
  '28',
  '29',
  '30',
  '31',
  '32',
  '*',
  '34',
  '*',
  '36',
  '37',
  '*',
  '39',
  '40',
  '41',
  '42',
  '43',
  '44',
  '45',
  '46',
  '47',
  '48',
  '49',
  '50',
  '51',
  '52',
  '*',
  '54',
  '*',
  '56',
  '57',
  '58',
  '59',
  '60',
  '61',
  '62',
  '63',
  '64',
  '65',
  '66',
  '67',
  '68',
  '69',
  '70',
  '71',
  '72',
  '73',
  '*',
  '*',
  '*',
  '*',
  '78',
  '79',
  '80',
  '81',
  '82',
  '83',
  '84',
  '85',
  '86',
  '87',
  '88',
  '89',
  '*',
  '91',
  '92',
  '93',
  '94',
  '95',
  '*',
  '97',
  '*',
  '*',
];

Tests:

collapsePrev
const result = collapsePrev(data);
collapsePrev2
const result = collapsePrev2(data);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
collapsePrev
collapsePrev2

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and options compared.

**Benchmark Definition:**

The benchmark measures the performance of two different functions, `collapsePrev` and `collapsePrev2`, which are designed to compact an array by replacing consecutive asterisks (`*`) with a single asterisk. The goal is to optimize this process for better performance.

**Options Compared:**

1. **`collapsePrev`**: This function iterates through the array and concatenates non-asterisk elements with the previous element, while ignoring asterisks. It uses a boolean flag `prev` to keep track of whether the previous element was an asterisk or not.
2. **`collapsePrev2`**: This function is similar to `collapsePrev`, but it uses a different approach. Instead of using a boolean flag, it checks if the current element is an asterisk and then pushes either the asterisk followed by the current element (`'*' + n`) or just the current element (`n`) onto the result array, depending on the value of the `prev` flag.

**Pros and Cons:**

* **`collapsePrev`**:
	+ Pros: Simple and easy to understand.
	+ Cons: May lead to slower performance due to repeated concatenations and comparisons.
* **`collapsePrev2`**:
	+ Pros: Uses a more efficient approach by avoiding unnecessary string concatenations and comparisons.
	+ Cons: More complex code structure, which may be harder to maintain or optimize.

**Other Considerations:**

* Both functions assume that the input array only contains asterisks (`*`) and numerical values (0-9). If the array can contain other characters, additional handling would be required.
* The benchmark does not account for edge cases like an empty input array or arrays with a single asterisk element.

**Library and Special JS Features:**

There are no libraries used in this benchmark. However, it's worth noting that `collapsePrev2` uses the bitwise OR operator (`|`) implicitly through the expression `prev = (n === '*')`. This is not explicitly mentioned in the code, but it's a common use of the `||` operator in JavaScript.

**Alternatives:**

If you were to implement an alternative approach for compacting arrays, some options could include:

* Using `reduce()` method with a callback function to accumulate the elements.
* Utilizing `splice()` method to remove consecutive asterisks and then join the remaining elements into a string.
* Employing a more advanced data structure like a trie or a suffix tree to optimize the array compaction process.

Keep in mind that these alternatives might have different performance characteristics, code complexity, and maintainability compared to the existing `collapsePrev` and `collapsePrev2` functions.

Related benchmarks:

Array compaction v3 (version: 0)

Comparing performance of: collapsePrev vs collapsePrev2

Created: 3 years ago by: Guest

Jump to the latest result

collapsePrev

collapsePrev2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):