Benchmark: Compare deep copy of object

Script Preparation code:

function recursiveDeepCopy(obj) {
  return Object.keys(obj).reduce((v, d) => Object.assign(v, {
    [d]: (obj[d].constructor === Object) ? recursiveDeepCopy(obj[d]) : obj[d]
  }), {});
}

function jsonDeepCopy(o) {
  return JSON.parse(JSON.stringify(o));
}

var dimensions = {
  "dimensions": [{
    "runtime": {
      "common": {
        "client": null,
        "server": null
      }
    }
  }, {
    "device": {
      "android": null,
      "blackberry": null,
      "iemobile": null,
      "iphone": null,
      "ipad": null,
      "kindle": null,
      "opera-mini": null,
      "palm": null
    }
  }, {
    "environment": {
      "development": {
        "dev": null,
        "test": null
      },
      "production": {
        "stage": null,
        "prod": null
      }
    }
  }, {
    "lang": {
      "ar": {
        "ar-JO": null,
        "ar-MA": null,
        "ar-SA": null,
        "ar-EG": null
      },
      "bn": {
        "bn-IN": null
      },
      "ca": {
        "ca-ES": null
      },
      "cs": {
        "cs-CZ": null
      },
      "da": {
        "da-DK": null
      },
      "de": {
        "de-AT": null,
        "de-DE": null
      },
      "el": {
        "el-GR": null
      },
      "en": {
        "en-AU": null,
        "en-BG": null,
        "en-CA": null,
        "en-GB": null,
        "en-GY": null,
        "en-HK": null,
        "en-IE": null,
        "en-IN": null,
        "en-MY": null,
        "en-NZ": null,
        "en-PH": null,
        "en-SG": null,
        "en-US": null,
        "en-ZA": null
      },
      "es": {
        "es-AR": null,
        "es-BO": null,
        "es-CL": null,
        "es-CO": null,
        "es-EC": null,
        "es-ES": null,
        "es-MX": null,
        "es-PE": null,
        "es-PY": null,
        "es-US": null,
        "es-UY": null,
        "es-VE": null
      },
      "fi": {
        "fi-FI": null
      },
      "fr": {
        "fr-BE": null,
        "fr-CA": null,
        "fr-FR": null,
        "fr-GF": null
      },
      "hi": {
        "hi-IN": null
      },
      "hu": {
        "hu-HU": null
      },
      "id": {
        "id-ID": null
      },
      "it": {
        "it-IT": null
      },
      "ja": {
        "ja-JP": null
      },
      "kn": {
        "kn-IN": null
      },
      "ko": {
        "ko-KR": null
      },
      "ml": {
        "ml-IN": null
      },
      "mr": {
        "mr-IN": null
      },
      "ms": {
        "ms-MY": null
      },
      "nb": {
        "nb-NO": null
      },
      "nl": {
        "nl-BE": null,
        "nl-NL": null,
        "nl-SR": null
      },
      "pl": {
        "pl-PL": null
      },
      "pt": {
        "pt-BR": null
      },
      "ro": {
        "ro-RO": null
      },
      "ru": {
        "ru-RU": null
      },
      "sv": {
        "sv-SE": null
      },
      "ta": {
        "ta-IN": null
      },
      "te": {
        "te-IN": null
      },
      "th": {
        "th-TH": null
      },
      "tr": {
        "tr-TR": null
      },
      "vi": {
        "vi-VN": null
      },
      "zh": {
        "zh-Hans": {
          "zh-Hans-CN": null
        },
        "zh-Hant": {
          "zh-Hant-HK": null,
          "zh-Hant-TW": null
        }
      }
    }
  }]
}

Tests:

recursive
var dimensionsCopy = recursiveDeepCopy(dimensions);
jsonDeepCopy
var dimensionsCopy = jsonDeepCopy(dimensions);
lodash
var dimensionsCopy = _.cloneDeep(dimensions);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
recursive
jsonDeepCopy
lodash

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'll do my best to provide an answer.

It appears that you have provided two JSON-like strings:

1. A string representing an object with various keys (e.g., `"hu-HU"`, `"id-ID"`, etc.) and values, including nulls. The object seems to be a language code object.
2. Another string representing an array of objects, each containing information about benchmark tests:
	* `Benchmark Definition`: A JavaScript statement that clones or copies the `dimensions` object using different methods (e.g., `recursiveDeepCopy`, `jsonDeepCopy`, `_`.
	* `Test Name`: The name of the test being run.
3. Two more strings representing raw UA strings and metadata about benchmark runs:
	* `RawUAString`: A string representing a user agent.
	* `Browser`, `DevicePlatform`, `OperatingSystem`, `ExecutionsPerSecond`, and `TestName` fields: Metadata about the browser, device platform, operating system, execution rate, and test name.

To answer your question, it's challenging without more context. However, I can try to provide some insights:

* The language code object seems to be a collection of languages with their corresponding codes.
* The benchmark tests seem to be comparing different methods for cloning or copying the `dimensions` object.
* The raw UA strings and metadata suggest that these tests are being run on various devices and browsers.

If you could provide more context or clarify what you're trying to accomplish, I'd be happy to help further!

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/113.0.0.0 Safari/537.36

Browser/OS: Chrome 113 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
recursive	1931134.0 Ops/sec
jsonDeepCopy	62216.6 Ops/sec
lodash	26956.1 Ops/sec

Related benchmarks:

Compare deep copy of object (version: 0)

Compare deep copy of object

Comparing performance of: recursive vs jsonDeepCopy vs lodash

Created: one year ago by: Guest

Jump to the latest result

recursive

jsonDeepCopy

lodash

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):