Benchmark: assign test sldqoidqdoiqhoqffdd

Script Preparation code:

state = {
    "table1": {
        "itemid1": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid2": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid3": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid4": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid5": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid6": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid7": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid8": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid9": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid10": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid11": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid12": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"}
    },
    "table2": {
        "itemid1": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid2": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid3": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid4": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid5": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid6": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid7": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid8": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid9": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid10": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid11": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid12": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"}
    }
}
item = {"a": "qdqsfffffff", "b": 21244, "c": 0.11, "d": "sdlqsfq4qq"}
items =  {"table1": {
        "itemid1": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhddsqdqd"},
        "itemid2": {"a": "az8e", "b": 21.5, "c": 0.547577, "d": "qsd"},
        "itemid3": {"a": "aze", "b": 21.58, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid4": {"a": "aze", "b": 2661.5, "c": 0.64, "d": "adqdfqhdsqdqd"},
        "itemid5": {"a": "a1ze", "b": 21.5, "c": 0.54577, "d": "f"},
        "itemid6": {"a": "aze", "b": 21.5, "c": 0.5874577, "d": "adqdqhdsqdqd"},},
"table2":{
        "itemid7": {"a": "az025e", "b": 2144.5, "c": 0.545767, "d": "adqdffqhdsqdqd"},
        "itemid8": {"a": "aze", "b": 21.5, "c": 0.545477, "d": "adqdqhqdsqdqd"},
        "itemid9": {"a": "az3e", "b": 21.35, "c": 0.545577, "d": "adqdqhdsqdqd"},
        "itemid10": {"a": "aze", "b": 21.5, "c": 0.54377, "d": "adqdqqfqhdsqdqd"},
        "itemid11": {"a": "az3e", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"},
        "itemid12": {"a": "aze", "b": 21.5, "c": 0.54577, "d": "adqdqhdsqdqd"}
    }}

function deepMerge(obj1, obj2) {
  // Create a new object that combines the properties of both input objects
	const merged = Object.assign(obj1, obj2)

  // Loop through the properties of the merged object
  for (const key of Object.keys(merged)) {
    // Check if the property is an object
    if (typeof merged[key] === 'object' && merged[key] !== null) {
      // If the property is an object, recursively merge the objects
      merged[key] = deepMerge(obj1[key], obj2[key]);
    }
  }

  return merged;
}

Tests:

assign
output = Object.assign(state["table2"]["itemid1"], item) output = Object.assign(state["table2"]["itemid2"], item) output = Object.assign(state["table2"]["itemid3"], item) output = Object.assign(state["table2"]["itemid4"], item) output = Object.assign(state["table2"]["itemid5"], item) output = Object.assign(state["table2"]["itemid6"], item) output = Object.assign(state["table2"]["itemid7"], item) output = Object.assign(state["table1"]["itemid1"], item) output = Object.assign(state["table1"]["itemid2"], item) output = Object.assign(state["table1"]["itemid3"], item) output = Object.assign(state["table1"]["itemid4"], item) output = Object.assign(state["table1"]["itemid5"], item)
big assign
output = deepMerge(state, items)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
assign
big assign

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.79

Browser/OS: Chrome 114 on Windows

View result in a separate tab

Test name	Executions per second
assign	136290.2 Ops/sec
big assign	132088.2 Ops/sec

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

LLMs can make mistakes. Check important info.

It looks like we have a benchmarking result and some code snippets, but I'll need to extract the relevant information.

**Benchmark Result**

The latest benchmark results are:

1. `assign` test:
	* Raw UA string: "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.79"
	* Browser: Chrome 114
	* Device platform: Desktop
	* Operating system: Windows
	* Executions per second: 136290.25
	* Test name: "assign"
2. `big assign` test:
	* Raw UA string: "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.79"
	* Browser: Chrome 114
	* Device platform: Desktop
	* Operating system: Windows
	* Executions per second: 132088.203125
	* Test name: "big assign"

**Code Snippets**

We have two code snippets:

1. `assign` test:
```javascript
output = Object.assign(state["table2"]["itemid1"], item)
output = Object.assign(state["table2"]["itemid2"], item)
output = Object.assign(state["table2"]["itemid3"], item)
output = Object.assign(state["table2"]["itemid4"], item)
output = Object.assign(state["table2"]["itemid5"], item)
output = Object.assign(state["table2"]["itemid6"], item)
output = Object.assign(state["table2"]["itemid7"], item)
output = Object.assign(state["table1"]["itemid1"], item)
output = Object.assign(state["table1"]["itemid2"], item)
output = Object.assign(state["table1"]["itemid3"], item)
output = Object.assign(state["table1"]["itemid4"], item)
output = Object.assign(state["table1"]["itemid5"], item)
```
2. `big assign` test:
```javascript
output = deepMerge(state, items)
```

**Function**

We have a function called `deepMerge` that is used in the `big assign` test:
```javascript
function deepMerge(obj1, obj2) {
  const merged = Object.assign(obj1, obj2)

for (const key of Object.keys(merged)) {
    if (typeof merged[key] === 'object' && merged[key] !== null) {
      merged[key] = deepMerge(obj1[key], obj2[key]);
    }
  }

return merged;
}
```
Let me know what you'd like to know or what the next steps are!

Related benchmarks:

assign test sldqoidqdoiqhoqffdd (version: 0)

Comparing performance of: assign vs big assign

Created: one year ago by: Guest

Jump to the latest result

assign

big assign

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):