Benchmark: simple stuffdddxd

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.22.0/moment.min.js'></script>

Script Preparation code:

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var data = dates.map((start, i) => ({ start, id: i, duration: i % 4, groupDay: moment(start).format('YYYY-MM-DD') }))
data = data.reduce((acc, te) => { acc[te.id] = te; return acc; }, {})

Tests:

Lodash
_.chain(data) .map(timeEntry => timeEntry) .sortBy('start') .reverse() .filter(timeEntry => timeEntry.duration >= 0) .groupBy(timeEntry => moment(timeEntry.start).format('YYYY-MM-DD')) .value()
Native
Object.values(data) .filter(timeEntry => timeEntry.duration >= 0) .sort((a, b) => a.start.localeCompare(b.start)) .reverse() .reduce((acc, timeEntry) => { const key = moment(timeEntry.start).format('YYYY-MM-DD') ;(acc[key] || (acc[key] = [])).push(timeEntry) return acc }, {})
Lodash with defined group
_.chain(data) .map(timeEntry => timeEntry) .sortBy('start') .reverse() .filter(timeEntry => timeEntry.duration >= 0) .groupBy(timeEntry => timeEntry.groupDay) .value()
Lodash with substring
_.chain(data) .map(timeEntry => timeEntry) .sortBy('start') .reverse() .filter(timeEntry => timeEntry.duration >= 0) .groupBy(timeEntry => timeEntry.start.substring(0, 10)) .value()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native
Lodash with defined group
Lodash with substring

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

It seems like you're analyzing benchmark results for Lodash and native JavaScript code to group time entries by date.

Given the data, here are my observations:

1.  The latest benchmark result shows that "Lodash with defined group" performs best, with an average of approximately 3699 executions per second.
2.  The "Lodash with substring" test has a lower execution rate, averaging around 3220 executions per second.
3.  The "Lodash" and "Native" tests have lower execution rates, averaging around 1177 and 1135 executions per second, respectively.

To improve performance for the "Lodash with defined group" benchmark:

*   Consider optimizing the `groupBy` function by using a data structure like a hash table or object to store the grouped entries.
*   Avoid using unnecessary string formatting operations within the `groupBy` function. Instead, use Moment.js to format dates only when necessary.

To improve performance for the "Native" benchmark:

*   Use a data structure that supports fast grouping and sorting, such as an array with a custom comparator or a library like `underscore.js`.
*   Consider implementing a more efficient filtering algorithm to reduce the number of unnecessary iterations over the data.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36

Browser/OS: Chrome 83 on Linux

View result in a separate tab

Test name	Executions per second
Lodash	117.7 Ops/sec
Native	113.5 Ops/sec
Lodash with defined group	3699.7 Ops/sec
Lodash with substring	3220.6 Ops/sec

Related benchmarks:

simple stuffdddxd (version: 0)

Comparing performance of: Lodash vs Native vs Lodash with defined group vs Lodash with substring

Created: 4 years ago by: Guest

Jump to the latest result

Lodash

Native

Lodash with defined group

Lodash with substring

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):