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random test benchmark asdasd
(version: 0)
Comparing performance of:
own vs other
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var currentDraft = { id: "3fa85f64-5717-4562-b3fc-2c963f66afa6", user: { id: "userID", firstname: "firstname", lastname: "lastname", email: "email" }, languages: [{ id: "language1Id", draftId: "3fa85f64-5717-4562-b3fc-2c963f66afa6", name: "fi", highlight: "new highlight", skills: [ { skillType: "INTERACTION", skillLevel: 1 }, { skillType: "VERBAL", skillLevel: 2 }, { skillType: "LISTENING", skillLevel: 3 }, { skillType: "READING", skillLevel: 4 }, { skillType: "WRITING", skillLevel: 5 } ] }, { id: "language2Id", draftId: "3fa85f64-5717-4562-b3fc-2c963f66afa6", name: "se", highlight: "new highlight", skills: [ { skillType: "INTERACTION", skillLevel: 1 }, { skillType: "VERBAL", skillLevel: 2 }, { skillType: "LISTENING", skillLevel: 3 }, { skillType: "READING", skillLevel: 4 }, { skillType: "WRITING", skillLevel: 5 } ] }], generalSections: { introduction: "string", culturalCompetence: "string", languageSkillsDescription: "string" } } function updateDraft(id, draft) { return new Promise(draft); } function setCurrentDraft(draft) { console.log(draft); }
Tests:
own
const createNewLanguage = async () => { const updatedDraft = { ...currentDraft, languages: currentDraft.languages.concat(createNewLanguageObject(language, currentDraft.id)) } const updatedDraftWithId = await updateDraft( currentDraft.id, updatedDraft ); setCurrentDraft(updatedDraftWithId); };
other
const createNewLanguage = async () => { const createUpdatedDraft = _.flow( getUpdatedLanguagesArray(currentDraft.languages)(currentDraft.id), getUpdatedDraft(currentDraft) ); const updatedDraftWithId = await updateDraft( currentDraft.id, createUpdatedDraft(language) ); setCurrentDraft(updatedDraftWithId); }; function getUpdatedLanguagesArray(languages) { return function forDraftWithId(draftId) { return function withNewLanguage(language) { const updatedLanguages = languages.slice(); const newLanguage = createNewLanguageObject(language, draftId); updatedLanguages.push(newLanguage); return updatedLanguages; }; }; } function createNewLanguageObject(language, currentDraftId) { return { id: "", draftId: currentDraftId, name: language.title, highlight: "", samples: [], attachments: [], }; } function getUpdatedDraft(currentDraft) { return function withLanguages(updatedLanguages) { const updatedDraft = _.cloneDeep(currentDraft); updatedDraft.languages = updatedLanguages; return updatedDraft; }; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
own
other
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of JavaScript code is crucial in understanding how different libraries, approaches, and features affect execution speed. The provided JSON represents a benchmark that tests two different approaches for creating and updating language objects in an object. Here's a breakdown of what's being tested: **Approach 1: Manual Creation** The first test case uses a manual approach to create a new language object: ```javascript const updatedDraft = { ...currentDraft, languages: currentDraft.languages.concat(createNewLanguageObject(language, currentDraft.id)) }; ``` This approach involves creating a new object by spreading the existing `currentDraft` object (`{ ...currentDraft }`) and then concatenating it with a new language object created using the `createNewLanguageObject` function. **Approach 2: Lodash Utility Function** The second test case uses a Lodash utility function to create a new language object: ```javascript const updatedDraftWithId = await updateDraft( currentDraft.id, _.flow( getUpdatedLanguagesArray(currentDraft.languages)(currentDraft.id), getUpdatedDraft(currentDraft) )(language) ); ``` This approach utilizes the `_.flow` function from Lodash to chain multiple functions together. The first function, `getUpdatedLanguagesArray`, takes the existing languages array and returns a new function that updates it with the new language object. The second function, `getUpdatedDraft`, takes the updated languages array and returns an updated draft object. **Comparison of Approaches** Both approaches aim to update the `languages` array in the `currentDraft` object. However, they differ in their implementation: * Manual Approach: + Pros: Simple and straightforward. + Cons: May lead to unnecessary object cloning or duplication. * Lodash Utility Function: + Pros: Utilizes a well-known library for utility functions, reducing code duplication. + Cons: Requires an additional dependency (Lodash) and may introduce complexity. **Other Considerations** When testing JavaScript performance, other factors to consider: * **Object Cloning**: The approach used affects the number of object clones or duplications. Manual approaches might create unnecessary objects, while utility functions like Lodash's `_.cloneDeep` can help mitigate this. * **Dependency Management**: Including external libraries like Lodash can affect benchmark results. However, if the library is already included in the project, its performance impact should be considered. * **Code Readability and Maintainability**: While performance is crucial, code readability and maintainability are also important factors to consider. **Alternatives** For creating language objects, alternative approaches could include: * Using a dedicated library like `lodash-es` or ` Ramda`, which provide functional programming utilities for object manipulation. * Implementing custom functions using modern JavaScript features, such as arrow functions and destructuring. * Utilizing a build tool like Webpack or Rollup to optimize code generation and reduce overhead. In conclusion, when measuring the performance of JavaScript code, it's essential to consider the trade-offs between approach simplicity, library dependencies, object cloning, and maintainability. By understanding these factors, you can create benchmarks that accurately reflect the performance characteristics of your specific use case.
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