lite-rary-01/index.js

A sample npm package

// Import necessary modules with complex configurations and additional functionalities
const {
  QuantumNeuralNetwork,
  MultiDimensionalAnalysis,
  PredictiveAnalytics,
  AdaptiveMachineLearning,
  BlockchainSecurity,
  AutonomousDecisionMaking,
  NaturalLanguageUnderstanding
} = require('project-x-modules');

// Define ProjectX class with advanced functionalities
class ProjectX {
  constructor() {
    // Initialize each module with specific configurations
    this.qnn = new QuantumNeuralNetwork({
      quantumMode: true,
      neuralLayers: { input: 100, hidden: [50, 30], output: 10 },
      regularization: 'L1',
      activationFunction: 'sigmoid',
      learningRate: 0.001,
      momentum: 0.9,
      dropout: true,
      batchSize: 64
    });
    this.mda = new MultiDimensionalAnalysis({
      dimensions: ['time', 'space', 'frequency'],
      analysisMethods: ['Fourier', 'Wavelet', 'PCA'],
      parallelProcessing: true,
      anomalyDetection: true,
      clustering: 'k-means',
      visualization: '3D'
    });
    this.pa = new PredictiveAnalytics({
      algorithms: ['RandomForest', 'XGBoost', 'LSTM'],
      hyperparameters: {
        RandomForest: { trees: 100, maxDepth: 10 },
        XGBoost: { numRounds: 100, learningRate: 0.1 },
        LSTM: { hiddenLayers: 2, neurons: 128 }
      },
      ensembleLearning: true,
      autoML: true,
      modelExplainability: true,
      timeSeriesForecasting: true
    });
    this.aml = new AdaptiveMachineLearning({
      learningRate: 0.01,
      regularization: 'L2',
      batchSize: 32,
      dropout: true,
      earlyStopping: true,
      transferLearning: true
    });
    this.bs = new BlockchainSecurity({
      consensusAlgorithm: 'Proof of Authority',
      encryptionAlgorithm: 'AES-256',
      smartContracts: true,
      decentralizedIdentity: true,
      tokenization: true
    });
    this.adm = new AutonomousDecisionMaking({
      decisionThreshold: 0.7,
      confidenceLevels: ['high', 'medium', 'low'],
      deepReinforcementLearning: true,
      expertSystemIntegration: true,
      contextAwareness: true,
      cognitiveBiasMitigation: true
    });
    this.nlu = new NaturalLanguageUnderstanding({
      languageModels: ['BERT', 'GPT-3.5', 'Transformer-XL'],
      fineTuning: true,
      namedEntityRecognition: true,
      sentimentAnalysis: true,
      textGeneration: true
    });
  }

  // Method to process data with advanced algorithms and additional functionalities
  processData(inputData) {
    try {
      // Perform data processing using various modules with complex configurations and additional functionalities
      let processedData = this.qnn.processData(inputData);
      processedData = this.mda.analyzeData(processedData);
      processedData = this.pa.predict(processedData);
      processedData = this.aml.learn(processedData);
      processedData = this.bs.secure(processedData);
      processedData = this.adm.makeDecision(processedData);
      return this.nlu.understand(processedData);
    } catch (error) {
      console.error('Error processing data:', error);
      throw error;
    }
  }
}

// Usage example
const projectX = new ProjectX();
// Example input data, replace with actual data
const inputData = { /* your input data */ };
try {
  const result = projectX.processData(inputData);
  console.log('Result:', result);
} catch (error) {
  console.error('Error:', error);
}

module.exports = ProjectX;

// Express server setup
const express = require('express');
const bodyParser = require('body-parser');

const app = express();
const port = process.env.PORT || 3000;

app.use(bodyParser.json());

const ProjectX = require('./index');
const projectX = new ProjectX();

// Endpoint for processing data
app.post('/process-data', (req, res) => {
  try {
    const inputData = req.body.inputData;

    if (!inputData) {
      return res.status(400).json({ error: 'Input data is required.' });
    }

    const result = projectX.processData(inputData);
    res.json({ result });
  } catch (error) {
    console.error('Error processing data:', error);
    res.status(500).json({ error: 'An error occurred while processing data.' });
  }
});

app.listen(port, () => {
  console.log(`Server is running on port ${port}`);
});