Benchmark: dfdxstraight - MeasureThat.net

Script Preparation code:

const { cos, pow, PI, sin, sqrt } = Math
const sq = x => x*x

function dfdxStraightNew (method, cBlow, Dcable, lCable, cableCount, Wn, Bn, Dduct, cof, A, P, pressure, pressureHead, slope, x, y) {
  const psonic = (1 - cBlow) * pressure
  let WB = 0
  let TEF = 0
  if (A / 100 > (Dduct - Dcable) / 2000) {
    WB = 3 * (A / 100 - Dduct / 2000 + Dcable / 2000) * Bn / 2 / pow(P / 4, 4)
    TEF = 8 * PI * (A / 100 - Dduct / 2000 + Dcable / 2000) / (P * P)
  }
  const Buckle = (Dduct - Dcable) / 1000 / (PI * PI) / Bn

  let pp = 0
  if (method === 'jetting') {
    pp = PI * Dcable * Dduct / 8 / lCable * (pow(pressure + 1, 2) - pow(psonic + pressureHead + 1, 2)) / sqrt(pow(pressure + 1, 2) - (pow(pressure + 1, 2) - pow(psonic + pressureHead + 1, 2)) * x / lCable) / 10
  } else if (method === 'waterpushpull' || method === 'floating' || method === 'freefloating') {
    pp = PI * Dcable * Dduct / 4 / lCable * (pressure - psonic - pressureHead) / 10 * cableCount * (Dduct + Dcable) / (Dduct + cableCount * Dcable)
  }

  if (y > 0) {
    return cof * sqrt(pow(Wn * cos(slope), 2) + pow(TEF * y + WB, 2)) + Wn * sin(slope) - pp
  } else {
    return cof * sqrt(pow(Wn * cos(slope), 2) + pow(TEF * y + WB, 2) + pow(Buckle * y * y, 2)) + Wn * sin(slope) - pp
  }
}

function dfdxStraightNew2 (method, cBlow, Dcable, lCable, cableCount, Wn, Bn, Dduct, cof, A, P, pressure, pressureHead, slope, x, y) {
  const psonic = (1 - cBlow) * pressure
  let WB = 0
  let TEF = 0
  if (A / 100 > (Dduct - Dcable) / 2000) {
    WB = 3 * (A / 100 - Dduct / 2000 + Dcable / 2000) * Bn / 2 / pow(P / 4, 4)
    TEF = 8 * PI * (A / 100 - Dduct / 2000 + Dcable / 2000) / (P * P)
  }
  const Buckle = (Dduct - Dcable) / 1000 / (PI * PI) / Bn

  let pp = 0
  if (method === 'jetting') {
    pp = PI * Dcable * Dduct / 8 / lCable * (sq(pressure + 1) - sq(psonic + pressureHead + 1)) / sqrt(sq(pressure + 1) - (sq(pressure + 1) - sq(psonic + pressureHead + 1)) * x / lCable) / 10
  } else if (method === 'waterpushpull' || method === 'floating' || method === 'freefloating') {
    pp = PI * Dcable * Dduct / 4 / lCable * (pressure - psonic - pressureHead) / 10 * cableCount * (Dduct + Dcable) / (Dduct + cableCount * Dcable)
  }

  if (y > 0) {
    return cof * sqrt(sq(Wn * cos(slope)) + sq(TEF * y + WB)) + Wn * sin(slope) - pp
  } else {
    return cof * sqrt(sq(Wn * cos(slope)) + sq(TEF * y + WB) + sq(Buckle * y * y)) + Wn * sin(slope) - pp
  }
}

Tests:

pow
dfdxStraightNew('jetting', 1, 19, 2437, 1, 2.941994999999995, 9.5, 42, 0.1092, 5, 10, 12, 0.33886251591322436, 0, 1001.3587388228319, 9.17014015195002)
sq
dfdxStraightNew2('jetting', 1, 19, 2437, 1, 2.941994999999995, 9.5, 42, 0.1092, 5, 10, 12, 0.33886251591322436, 0, 1001.3587388228319, 9.17014015195002)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
pow
sq

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the provided JSON data and explain what's being tested, compared, and discussed.

**Benchmark Definition:**
The benchmark definition is a JavaScript function called `dfdxStraightNew` (or its variant `dfdxStraightNew2`) that appears to simulate a pipe flow problem in a fluid dynamics context. The function takes several inputs:

* `method`: a string indicating the method used for calculations (e.g., 'jetting', 'waterpushpull', etc.)
* `cBlow`, `Dcable`, `lCable`, `cableCount`, `Wn`, `Bn`, `Dduct`, `cof`, `A`, `P`, `pressure`, `pressureHead`, `slope`, and `x` are numerical inputs that seem to control various parameters of the pipe flow problem.

The function returns a value based on these inputs, which is used to calculate something ( likely a pressure or velocity). The exact meaning of this value is not clear without more context.

**Individual test cases:**
There are two individual test cases:

1. "pow" - This test case uses the `dfdxStraightNew` function with the 'jetting' method and a specific set of input values.
2. "sq" - This test case uses the `dfdxStraightNew2` function (which is similar to the original `dfdxStraightNew` function but with some minor differences) with the same 'jetting' method and input values as the previous test case.

**Comparison options:**
The benchmark definition and individual test cases compare two different approaches:

1. **`dfdxStraightNew`**: This is the original function that takes a more complex set of inputs and returns a value based on those inputs.
2. **`dfdxStraightNew2`**: This is a variant of the original function with some minor differences, mainly related to how the input values are used.

The individual test cases compare the performance of these two approaches using the same set of input values. The goal of this comparison is likely to determine which approach is faster or more efficient.

**Latest benchmark result:**
The latest benchmark result shows the execution times for each browser version and device platform:

* For the "pow" test case, Firefox 114 on Desktop (Windows) is the fastest, with an execution time of approximately 14.94 million executions per second.
* For the "sq" test case, Firefox 114 on Desktop (Windows) is also the fastest, but with a slightly lower execution time of approximately 14.69 million executions per second.

This result suggests that `dfdxStraightNew2` might be slightly faster than `dfdxStraightNew`, at least for this specific set of input values and browser version.

Keep in mind that without more context or information about the purpose of this benchmark, it's difficult to draw conclusions about the significance or implications of these results.

Related benchmarks:

dfdxstraight (version: 0)

Comparing performance of: pow vs sq

Created: 2 years ago by: Guest

Jump to the latest result

pow

sq

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):