Benchmark: test dv vs fm real

Script Preparation code:

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AخA
 
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Tests:

dv
cookie.match(/_ga=GA1\.[0-9]{1}\.([^;]+)/)[0];
cookie.match(/_ga=GA1\.[0-9]{1}\.([^;]+)/)[0];
fm
cookie.split("_ga=")[1].split(";")[0]
cookie.split("_ga=")[1].split(";")[0]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
dv
fm

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36

Browser/OS: Chrome 100 on Windows

View result in a separate tab

Test name	Executions per second
dv	1359830.5 Ops/sec
fm	4498149.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):

To solve this, I will need to parse the provided JSON data and extract specific information.

Step 1: Parse JSON Data

The provided JSON data is as follows:

{
    "_cto": {
        "timestamp": 1649772999614,
        "visitNumber": 1
    },
    "Html Preparation Code": null,
    "Individual test cases": [
        {
            "Benchmark Definition": "cookie.match(/_ga=GA1\\.[0-9]{1}\\.([^;]+)/)[0];",
            "Test Name": "dv"
        },
        {
            "Benchmark Definition": "cookie.split(\"_ga=\")[1].split(\";\")[0]",
            "Test Name": "fm"
        }
    ],
    "Latest benchmark result": [
        {
            "RawUAString": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36",
            "Browser": "Chrome 100",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Windows",
            "ExecutionsPerSecond": 4498149.0,
            "TestName": "fm"
        },
        {
            "RawUAString": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36",
            "Browser": "Chrome 100",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Windows",
            "ExecutionsPerSecond": 1359830.5,
            "TestName": "dv"
        }
    ]
}

Step 2: Identify Relevant Information

From the provided JSON data, I can identify the following relevant information:

Individual test cases: This array contains two test cases, each with a Benchmark Definition and a Test Name.
Latest benchmark result: This array contains two benchmark results, each with various metrics such as RawUAString, Browser, DevicePlatform, OperatingSystem, ExecutionsPerSecond, and TestName.

Step 3: Extract Desired Information

Based on the provided JSON data, I can extract the following desired information:

The Benchmark Definitions for both test cases.
The Test Names for both test cases.
The RawUAStrings for both benchmark results.
The Browser, DevicePlatform, and OperatingSystem values for both benchmark results.
The ExecutionsPerSecond values for both benchmark results.

Step 4: Provide the Answer

Based on the extracted information, I can provide a structured answer. Please note that I will not include any additional data or assumptions beyond what is provided in the original JSON data.

The final answer is:

Test Cases and Benchmark Results

Test Case	Benchmark Definition	Test Name
Test 1	`cookie.match(/_ga=GA1\\.[0-9]{1}\\.([^;]+)/)[0];`	dv
Test 2	`cookie.split(\"_ga=\")[1].split(\";\")[0]`	fm

Benchmark Results

Benchmark Result	RawUAString	Browser	DevicePlatform	OperatingSystem	ExecutionsPerSecond	TestName
Result 1	`Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36`	Chrome 100	Desktop	Windows	4498149.0	fm
Result 2	`Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36`	Chrome 100	Desktop	Windows	1359830.5	dv

Please let me know if this meets the requirements or if further clarification is needed.

LLMs can make mistakes. Check important info.

To solve this, I will need to parse the provided JSON data and extract specific information.

**Step 1: Parse JSON Data**

The provided JSON data is as follows:
```json
{
    "_cto": {
        "timestamp": 1649772999614,
        "visitNumber": 1
    },
    "Html Preparation Code": null,
    "Individual test cases": [
        {
            "Benchmark Definition": "cookie.match(/_ga=GA1\\.[0-9]{1}\\.([^;]+)/)[0];",
            "Test Name": "dv"
        },
        {
            "Benchmark Definition": "cookie.split(\"_ga=\")[1].split(\";\")[0]",
            "Test Name": "fm"
        }
    ],
    "Latest benchmark result": [
        {
            "RawUAString": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36",
            "Browser": "Chrome 100",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Windows",
            "ExecutionsPerSecond": 4498149.0,
            "TestName": "fm"
        },
        {
            "RawUAString": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36",
            "Browser": "Chrome 100",
            "DevicePlatform": "Desktop",
            "OperatingSystem": "Windows",
            "ExecutionsPerSecond": 1359830.5,
            "TestName": "dv"
        }
    ]
}
```
**Step 2: Identify Relevant Information**

From the provided JSON data, I can identify the following relevant information:

* `Individual test cases`: This array contains two test cases, each with a `Benchmark Definition` and a `Test Name`.
* `Latest benchmark result`: This array contains two benchmark results, each with various metrics such as `RawUAString`, `Browser`, `DevicePlatform`, `OperatingSystem`, `ExecutionsPerSecond`, and `TestName`.

**Step 3: Extract Desired Information**

Based on the provided JSON data, I can extract the following desired information:

* The `Benchmark Definitions` for both test cases.
* The `Test Names` for both test cases.
* The `RawUAString`s for both benchmark results.
* The `Browser`, `DevicePlatform`, and `OperatingSystem` values for both benchmark results.
* The `ExecutionsPerSecond` values for both benchmark results.

**Step 4: Provide the Answer**

Based on the extracted information, I can provide a structured answer. Please note that I will not include any additional data or assumptions beyond what is provided in the original JSON data.

The final answer is:

**Test Cases and Benchmark Results**

| Test Case | Benchmark Definition | Test Name |
| --- | --- | --- |
| Test 1 | `cookie.match(/_ga=GA1\\.[0-9]{1}\\.([^;]+)/)[0];` | dv |
| Test 2 | `cookie.split(\"_ga=\")[1].split(\";\")[0]` | fm |

**Benchmark Results**

| Benchmark Result | RawUAString | Browser | DevicePlatform | OperatingSystem | ExecutionsPerSecond | TestName |
| --- | --- | --- | --- | --- | --- | --- |
| Result 1 | `Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36` | Chrome 100 | Desktop | Windows | 4498149.0 | fm |
| Result 2 | `Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36` | Chrome 100 | Desktop | Windows | 1359830.5 | dv |

Please let me know if this meets the requirements or if further clarification is needed.

Related benchmarks:

test dv vs fm real (version: 0)

Comparing performance of: dv vs fm

Created: 2 years ago by: Guest

Jump to the latest result

dv

fm

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):