Benchmark: ramda.equals vs reference check

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.26.1/ramda.min.js"></script>

Script Preparation code:

var objectA = {
    a: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ab: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ac: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ax: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    asx: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    az: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    aq: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    aw: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ae: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ar: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    at: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ay: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    au: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ai: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ao: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    al: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    akk: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ajjj: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
};

var objectB = {
    a: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ab: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ac: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ax: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    asx: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    az: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    aq: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    aw: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ae: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ar: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    at: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ay: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    au: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ai: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ao: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    al: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    akk: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
    ajjj: {
        k: {
            l: {
                f: {
                    p: 'sdsdsd'
                },
                g: 322332
            },
            d: [32, 32, 'sdsdsdsds', 'sdsd', 2323, {
                d: '12212'
            }]
        }
    },
};

Tests:

ramda.equals()
R.equals(objectA, objectB)
Reference check
objectA === objectB

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramda.equals()
Reference check

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

It seems like we're in the midst of benchmarking a JavaScript function, specifically `ramda.equals()`, and comparing its performance against a reference check (`objectA === objectB`) under various conditions.

To provide an answer without more context or information about the specific requirements of the task, I'll focus on extracting key details from the provided data:

1. **Benchmark Cases**: The benchmark cases are split into two main categories:
   - A JSON object `objectA` with various nested properties and values.
   - Another JSON object `objectB` which seems to be a mirror of `objectA`, including all its properties and nested structure.

2. **Test Names**:
   - Two test names are provided: "ramda.equals()" and "Reference check".

3. **Benchmark Results**: The benchmark results show the performance of each test under two different conditions, likely related to device platforms or browser versions. These are:

```javascript
[
    {
        "RawUAString": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
        "Browser": "Chrome 112",
        "DevicePlatform": "Desktop",
        "OperatingSystem": "Mac OS X 10.15.7",
        "ExecutionsPerSecond": 9789771.0,
        "TestName": "Reference check"
    },
    {
        "RawUAString": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
        "Browser": "Chrome 112",
        "DevicePlatform": "Desktop",
        "OperatingSystem": "Mac OS X 10.15.7",
        "ExecutionsPerSecond": 9143.7138671875,
        "TestName": "ramda.equals()"
    }
]
```

Without specific guidance on what to do next (e.g., interpreting the results, tuning performance for a particular scenario), I can suggest some general steps that might be relevant:

- **Performance Tuning**: If you're interested in optimizing `ramda.equals()` for better performance:
  - Understand the underlying algorithms and data structures used by `equals()`.
  - Consider potential optimizations based on the specific input types and scenarios observed.
  - Look into Ramda's optimization techniques or custom implementations that might improve performance.

- **Reference Check**: For the reference check approach, consider its reliability and accuracy. The results indicate a significant difference in performance between the two methods:
  - Evaluate if the trade-off for readability, complexity, or potential errors justifies this disparity.
  - Consider using a combination of both approaches or implementing your own comparison logic that balances these factors.

- **Benchmarking Tools and Practice**: Familiarize yourself with tools like Jest or other benchmarking libraries that can help you accurately measure performance under controlled conditions. Practice writing benchmarks for your code to ensure it's optimized for different scenarios.

Without more specific information on what aspects of the data you need to analyze further, I'll provide a neutral summary:

The comparison between `ramda.equals()` and a reference check suggests that these two approaches have different execution times based on your benchmarking conditions. This disparity might be due to optimizations in Ramda's implementation or differences in how each method handles object comparisons.

If you'd like to explore optimizations for `ramda.equals()`, consider delving into Ramda's source code, documentation, and community forums for insights. Alternatively, if the focus is on understanding and potentially improving the reference check approach, examining its logic, potential edge cases, and trade-offs can be informative.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36

Browser/OS: Chrome 112 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
ramda.equals()	9143.7 Ops/sec
Reference check	9789771.0 Ops/sec

Related benchmarks:

ramda.equals vs reference check (version: 1)

Comparing performance of: ramda.equals() vs Reference check

Created: one year ago by: Registered User

Jump to the latest result

ramda.equals()

Reference check

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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