**chore: remove comprehensive test scripts and related documentation**

- Removed the `scripts/comprehensive-test.js` script and its auxiliary files (`node-test.js`, `TENSORFLOW_NODEJS.md`, and `scripts/test-cli-locally.js`).
- These files encompassed unified testing across environments (Browser, Node.js, and CLI) and TensorFlow.js compatibility.
- Reflects a strategic decision to deprecate integrated testing workflow in favor of modular testing approaches and project simplification.

This cleanup aligns with the ongoing effort to streamline the repository and remove redundant or outdated test infrastructure.

cli-package/src/test-tensorflow-textencoder.ts

@@ -1,102 +0,0 @@
-/**
- * CLI Test for TensorFlow.js and TextEncoder
- *
- * This script tests TensorFlow.js and TextEncoder functionality in the CLI environment.
- */
-
-import {
-  getTextEncoder,
-  getTextDecoder
-} from './utils/textEncoding.js'
-import * as tf from '@tensorflow/tfjs'
-import '@tensorflow/tfjs-backend-cpu'
-
-export async function testTensorFlowAndTextEncoder(): Promise<boolean> {
-  console.log('Testing TensorFlow.js and TextEncoder in CLI environment...')
-
-  try {
-    // TensorFlow patch is automatically applied by the main package
-    console.log('Using TensorFlow with automatic patching')
-
-    // Test TextEncoder
-    console.log('\n--- Testing TextEncoder ---')
-    const encoder = getTextEncoder()
-    const decoder = getTextDecoder()
-
-    const testString = 'Hello, world! 👋'
-    console.log(`Original string: "${testString}"`)
-
-    const encoded = encoder.encode(testString)
-    console.log(`Encoded: [${encoded}]`)
-
-    const decoded = decoder.decode(encoded)
-    console.log(`Decoded: "${decoded}"`)
-
-    if (testString === decoded) {
-      console.log('✅ TextEncoder/TextDecoder test passed!')
-    } else {
-      console.error('❌ TextEncoder/TextDecoder test failed!')
-      return false
-    }
-
-    // Test TensorFlow.js
-    console.log('\n--- Testing TensorFlow.js ---')
-
-    // Create a simple tensor
-    const tensor = tf.tensor2d([
-      [1, 2],
-      [3, 4]
-    ])
-    console.log('Created tensor:')
-    tensor.print()
-
-    // Perform a simple operation
-    const result = tensor.add(tf.scalar(1))
-    console.log('Result of adding 1:')
-    result.print()
-
-    // Check the values
-    const values = await result.array()
-    const expected = [
-      [2, 3],
-      [4, 5]
-    ]
-
-    console.log('Result values:', values)
-    console.log('Expected values:', expected)
-
-    // Compare values
-    const match = JSON.stringify(values) === JSON.stringify(expected)
-    if (match) {
-      console.log('✅ TensorFlow.js test passed!')
-    } else {
-      console.error('❌ TensorFlow.js test failed!')
-      return false
-    }
-
-    console.log('\nAll tests passed successfully!')
-    return true
-  } catch (error) {
-    console.error('Error during test:', error)
-    return false
-  }
-}
-
-// This function can be called from the CLI
-export async function runTest(): Promise<void> {
-  const success = await testTensorFlowAndTextEncoder()
-  if (success) {
-    console.log(
-      'TensorFlow.js and TextEncoder verification completed successfully!'
-    )
-    process.exit(0)
-  } else {
-    console.error('TensorFlow.js and TextEncoder verification failed!')
-    process.exit(1)
-  }
-}
-
-// If this file is run directly
-if (typeof require !== 'undefined' && require.main === module) {
-  runTest()
-}