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GitHub 儲存庫dinkopehar/mock_data

mock_data

使用 Dart 產生隨機資料(字串、整數、IP 等)。

mock_data 專案封面
星標
14
分支
3
最近推送(UTC)
2024年3月18日
專案狀態
未封存

原始 README

以下為英文專案原文快照,最新內容請造訪 GitHub。

Mock Data Logo
Build Status License Version
Generate random data using Dart

Features

API provides generation of:

  • Integers in any range of numbers
  • Strings with various characters and length
  • Colors represented with needed color space
  • Dates between different moments in time
  • Names such as John or Mary
  • UUIDv4 and Timestamp-first UUIDs
  • URLs with many fragments
  • IPv4 and IPv6
  • Locations as either random points or in specified radius

Usage

A simple usage example:

import 'package:mock_data/mock_data.dart';

main() {

  mockName();           // Generate male or female first name. 
  mockName('male');     // Generate male first name. 
  mockName('female');   // Generate female first name. 

  mockInteger(1, 6);    // Generate integer in range from 1 do 6.

  mockString(16);       // Generate string of length 16.
  
  mockIPv4();           // Generate IPv4 represented with 
                        // format(default is '*.*.*.*') as String. 
  
  mockIPv6();           // Generate IPv6, same usage as with IPv4.

  mockColor('hex');     // Generate color represented in hex format.
  mockColor('rgb');     // Generate color represented in RGB format.
  
  mockUUID();           // Generate UUIDv4
  
  mockLocation();       // Generate random location.
  mockLocation(53.55, 108.14, 1000); // Generate random location in 1000 m radius from the specified coordinates.
  
}

These are some basic examples. There are many more methods and they all support tweeking of parameters to suit you in generating random data. By reading examples you can learn more about functionality and usage of mock_data

Contributors
License

MIT

Dinko P. GitHub avatar
GitHub 作者

Dinko P. ↗

Applied AI engineer with focus on Python, Typescript, Gis and Cloud.

Oslo
語言Dart

分類

此儲存庫發佈的套件

使用的依賴

依賴清單 2 項

  • test開發依賴^1.17.5
  • pedantic開發依賴^1.11.0

如何選擇適合專案的儲存庫?

先依使用情境篩選,再比較專案活躍情況,最後到原始儲存庫確認使用要求。

  1. 透過儲存庫名稱、作者或描述搜尋,再依技術分類縮小範圍。
  2. 綜合星標、分支與最近推送比較專案;星標反映社群關注,不保證品質。
  3. 使用前在 GitHub 確認 README、授權條款與 Issues。

來源與維護

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