Benchmark: test getProfit - MeasureThat.net

Script Preparation code:

var arr = [7,1,5,3,6,4,5,6,7,8,9,12,43,7,0.5,3,56,78.5,6,3]

const isUndefined = (val) => typeof val === 'undefined'

function getProfit(prices = []) {
  let profit = 0

  for (let i=0; i< prices.length; i++) {
    for (let j=i + 1; j < prices.length; j++) {
      if (!isUndefined(prices[j]) && prices[j] - prices[i] > profit) {
        profit = prices[j] - prices[i]
      }
    }
  }

  return profit
}

function getProfit2(prices = []) {
  const min = Math.min(...prices)
  const minIndex = prices.indexOf(min)
 
  
  const max = Math.max(...prices.slice(minIndex))
  const maxIndex = prices.indexOf(max)
  
  if (maxIndex > minIndex) {
    return max - min
  }
  
  return 0
}

Tests:

getProfit
getProfit(arr)
getProfit2
getProfit2(arr)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
getProfit
getProfit2

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.

I'll break down the benchmark and its options, pros, cons, and other considerations.

**Benchmark Definition JSON**

The provided JSON represents two JavaScript microbenchmarks: `getProfit` and `getProfit2`. Both benchmarks aim to measure the execution time of a function that calculates the maximum possible profit from a given array of prices.

**Script Preparation Code**

Both benchmark scripts contain:

1. An array `arr` with 24 elements, representing a set of prices.
2. A utility function `isUndefined` that checks if a value is undefined using the `typeof` operator.

The main difference between the two benchmarks lies in their implementation:

### getProfit

This function iterates through the `arr` array twice, comparing each pair of adjacent prices to find the maximum profit:
```javascript
function getProfit(prices = []) {
  let profit = 0;

for (let i=0; i< prices.length; i++) {
    for (let j=i + 1; j < prices.length; j++) {
      if (!isUndefined(prices[j]) && prices[j] - prices[i] > profit) {
        profit = prices[j] - prices[i];
      }
    }
  }

return profit;
}
```
**Pros:**

* Simple and straightforward implementation.
* No dependencies or external libraries required.

**Cons:**

* Has a high time complexity due to the nested loops (O(n^2)).
* May be slower for large input arrays.

### getProfit2

This function uses the `Math.min` and `Math.max` functions with the spread operator (`...`) to find the minimum and maximum prices in two separate steps:
```javascript
function getProfit2(prices = []) {
  const min = Math.min(...prices)
  const minIndex = prices.indexOf(min)

const max = Math.max(...prices.slice(minIndex))
  const maxIndex = prices.indexOf(max)

if (maxIndex > minIndex) {
    return max - min
  }

return 0
}
```
**Pros:**

* Has a lower time complexity than the first benchmark due to the use of `Math.min` and `Math.max`.
* May be faster for large input arrays.

**Cons:**

* Requires the `Math.min` and `Math.max` functions, which may introduce additional overhead.
* Uses the spread operator (`...`) which may have performance implications on older browsers or systems.

**Library and Dependencies**

Neither benchmark uses any external libraries or dependencies. The `isUndefined` function is a simple utility function that checks if a value is undefined using the `typeof` operator.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax used in these benchmarks beyond what's considered standard for modern JavaScript development.

**Other Alternatives**

If you wanted to improve or optimize these benchmarks, here are some alternative approaches:

1. Use a more efficient algorithm: Consider using dynamic programming techniques or other optimization methods to reduce the time complexity.
2. Leverage modern JavaScript features: If you're targeting modern browsers, consider using modern JavaScript features like `Array.prototype.reduce()` or `Array.prototype.map()` to simplify the implementation.
3. Profile and optimize hotspots: Use profiling tools to identify performance bottlenecks in your code and focus on optimizing those specific areas.

Keep in mind that optimizations should be carefully evaluated and tested to ensure they don't introduce new issues or affect maintainability.

Related benchmarks:

test getProfit (version: 0)

complexity test

Comparing performance of: getProfit vs getProfit2

Created: 3 years ago by: Guest

Jump to the latest result

getProfit

getProfit2

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):