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npx code-complexity . --limit 20 --sort ratio
# You can also use --filter '**/*.js' to use glob patterns to filter files

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yarn
yarn storybook

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<details>
  <summary>Install via NPM</summary>
  
  ```bash
  npm install --save react-in-out-textarea
  ```
</details>

<details>
  <summary>Install via yarn</summary>

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ModuleNotFoundError: Module not found: Error: Can't resolve 'http' in 'E:\programming\getworkrecognized.com\node_modules\validate-vat\lib'
BREAKING CHANGE: webpack < 5 used to include polyfills for node.js core modules by default.
This is no longer the case. Verify if you need these module and configure a polyfill for it.

If you want to include a polyfill, you need to:
        - add an alias 'resolve.alias: { "http": "stream-http" }'
        - install 'stream-http'
If you don't want to include a polyfill, you can use an empty module like this:
        resolve.alias: { "http": false }

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{
  "name": "getworkrecognized.com",
  "private": true,
  "version": "0.0.1",
  "scripts": {
    "dev": "nodemon",
    "build": "next build && tsc --project tsconfig.server.json",
    "start": "ts-node --project tsconfig.server.json server/index.ts",
    "typeorm": "ts-node -r tsconfig-paths/register --project tsconfig.server.json ./node_modules/typeorm/cli.js",
    "create-or-update-leadership-principles": "ts-node --project tsconfig.server.json server/scripts/createOrUpdateLeadershipPrinciples",

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import { Entity, Column, PrimaryGeneratedColumn } from "typeorm";

@Entity()
export class BetaEmail {
  @PrimaryGeneratedColumn()
  id: number;

  @Column()
  email: string;

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# Get all entries like Melissa, Melli.
# Not depending on how many characters are wildcarded.
SELECT * FROM example_table WHERE example_column LIKE 'Mel%';

# Get all entries like Meli, Melo.
# Depending on how many characters are wildcarded.
SELECT * FROM example_table WHERE example_column LIKE 'Mel_';

# Or for multiple characters, here 2
SELECT * FROM example_table WHERE example_column LIKE 'Mel__';

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public class DynamicFrameDecodeBase64 {

  public static DynamicFrame unBase64(
    DynamicFrame df,
    final String base64ColumnName,
    final String dataColumnName
  ) {
    RDD unboxRecords = df
      .records()
      .mapPartitions(

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SELECT * FROM example_table WHERE example_column ~* 'mel';

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SELECT * FROM example_table WHERE example_column ILIKE '%mel%';