Benchmark: testing - MeasureThat.net

Tests:

1
var o = "HSLU123777"; var a=0,n=-55,e=-48; var x=n+o.charCodeAt(0); var z=n+o.charCodeAt(1); var w=n+o.charCodeAt(2); var v=n+o.charCodeAt(3); a+=x+((x<<7)-(x<<5)+(x<<2)>>10)>>0; a+=z+((z<<7)-(z<<5)+(z<<2)>>10)>>0<<1; a+=w+((w<<7)-(w<<5)+(w<<2)>>10)>>0<<2; a+=v+((v<<7)-(v<<5)+(v<<2)>>10)>>0<<3; a+=e+o.charCodeAt(4)<<4; a+=e+o.charCodeAt(5)<<5; a+=e+o.charCodeAt(6)<<6; a+=e+o.charCodeAt(7)<<7; a+=e+o.charCodeAt(8)<<8; a+=e+o.charCodeAt(9)<<9; var d=a%11%10; return d;
2
var o = "HSLU123777"; var a=0,n=-55,e=-48384; var x=n+o.charCodeAt(0); var z=n+o.charCodeAt(1); var w=n+o.charCodeAt(2); var v=n+o.charCodeAt(3); a+=x+((x<<7)-(x<<5)+(x<<2)>>10)>>0; a+=z+((z<<7)-(z<<5)+(z<<2)>>10)>>0<<1; a+=w+((w<<7)-(w<<5)+(w<<2)>>10)>>0<<2; a+=v+((v<<7)-(v<<5)+(v<<2)>>10)>>0<<3; a+=o.charCodeAt(4)<<4; a+=o.charCodeAt(5)<<5; a+=o.charCodeAt(6)<<6; a+=o.charCodeAt(7)<<7; a+=o.charCodeAt(8)<<8; a+=o.charCodeAt(9)<<9; var d=(a-e)%11%10; return d;
3
var o = "HSLU123777"; var a=0,e=-48384,n=24833,m=-48; var x=(n*(o.charCodeAt(0)+m))>>8>>0; var z=(n*(o.charCodeAt(1)+m))>>8>>0<<1; var w=(n*(o.charCodeAt(2)+m))>>8>>0<<2; var v=(n*(o.charCodeAt(3)+m))>>8>>0<<3; a+=o.charCodeAt(4)<<4; a+=o.charCodeAt(5)<<5; a+=o.charCodeAt(6)<<6; a+=o.charCodeAt(7)<<7; a+=o.charCodeAt(8)<<8; a+=o.charCodeAt(9)<<9; var d=(a-e)%11%10; return d;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2
3

Fastest: N/A

Slowest: N/A

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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 provided benchmark JSON and explain what's being tested, compared, and some considerations.

**Benchmark Definition**

The `Name` field is set to `"testing"`, indicating that this benchmark is part of a larger collection.

There are no scripts or HTML preparation codes specified for this benchmark, which means the test cases will be executed directly from JavaScript.

**Individual Test Cases**

Each test case has a unique `Test Name`. These tests seem to perform calculations on a base string `"HSLU123777"`, exploiting potential weaknesses in JavaScript's encoding and casting operations.

Here are three test cases:

1.  **`Test Case 1`**:

*   It uses the `charCodeAt()` method to access individual ASCII code points of the base string, then performs various bit shifting and addition operations on these values.
    *   The results are added together using bitwise shifts and left shifts (`<<`) to produce a final result.

2.  **`Test Case 2`**:

*   This test case is similar to `Test Case 1`, but it subtracts the constant value `-48384` from the encoded string's values before performing calculations.
    *   The results are again added together using bitwise shifts and left shifts (`<<`) to produce a final result.

3.  **`Test Case 3`**:

*   This test case takes a different approach by multiplying the base string's code point by `n*(m+o.charCodeAt(i))` instead of simply adding it.
    *   The results are added together using bitwise shifts and left shifts (`<<`) to produce a final result.

These tests seem designed to exploit potential weaknesses in JavaScript's handling of Unicode characters, bit shifting, and addition operations.

**Library and Library Purpose**

There is no library explicitly mentioned in the benchmark code. However, it uses built-in JavaScript methods like `charCodeAt()`, bitwise shifts (`<<`), and addition operators (`+`).

**Special JS Features or Syntax**

The benchmarks use some special JavaScript features:

*   **Bitwise Shift Operators:** The `<<` operator is used to shift bits in a binary representation. In this benchmark, it's used to manipulate the result of bit shifting and addition operations.

Now let's consider other alternatives for creating these kinds of benchmarks:

1.  **Benchmarking Frameworks:** Tools like Benchmark.js or Microbenchmark allow you to create more complex and accurate benchmarks with minimal code.
2.  **Profiling Libraries:** Profiling libraries like V8 Profiler (for Node.js) or Chrome DevTools Profiling provide detailed insights into the performance of specific JavaScript operations, making it easier to identify optimization opportunities.

By leveraging these alternatives, developers can design more robust and efficient benchmarks that better reflect real-world performance scenarios.

Related benchmarks:

testing (version: 0)

ing

Comparing performance of: 1 vs 2 vs 3

Created: 8 years ago by: Guest

Jump to the latest result

1

2

3

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):