David Snelling
cc3350c578
- Updated Node.js version requirement to `>=24.3.0` in `README.md` and `package-lock.json`. - Upgraded `TypeScript` to version `5.4.5` and synced references. - Updated multiple dependencies, including: - `@aws-sdk/client-s3` to `^3.540.0`. - `uuid` to `^9.0.1`. - Development tools such as `eslint` to `^8.57.0`, `typescript-eslint` plugins to `^7.4.0`, and more. - Refreshed transitive dependencies with up-to-date versions for consistency and performance. This update ensures compatibility with the latest Node.js features, aligns TypeScript references, and keeps the project dependencies up-to-date for improved stability and functionality.
79 lines
2.3 KiB
TypeScript
79 lines
2.3 KiB
TypeScript
/**
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* Utility functions for TensorFlow.js compatibility
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* This module provides utility functions that TensorFlow.js might need
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* and avoids the need to use globalThis.util
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*/
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// Import the TensorFlowUtilObject interface
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import type {
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TensorFlowUtilObject,
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PlatformNodeObject
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} from '../types/tensorflowTypes.js'
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// Define a global PlatformNode class for TensorFlow.js compatibility
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// This is needed because TensorFlow.js creates its own PlatformNode instance
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// and we need to ensure it uses the correct TextEncoder/TextDecoder
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if (
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typeof global !== 'undefined' &&
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typeof process !== 'undefined' &&
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process.versions &&
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process.versions.node
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) {
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try {
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// In Node.js v24.3.0+, TextEncoder and TextDecoder are globally available
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// Define the PlatformNode class that TensorFlow.js will use
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class PlatformNode {
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util: any
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textEncoder: any
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textDecoder: any
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constructor() {
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// Create a util object with the necessary methods
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this.util = {
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isFloat32Array,
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isTypedArray,
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TextEncoder,
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TextDecoder
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}
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// Initialize TextEncoder/TextDecoder instances
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this.textEncoder = new TextEncoder()
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this.textDecoder = new TextDecoder()
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}
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}
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// Assign the PlatformNode class to the global object
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;(global as any).PlatformNode = PlatformNode
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// Also create an instance and assign it to global.platformNode (lowercase p)
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// Some TensorFlow.js code might look for this
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;(global as any).platformNode = new PlatformNode()
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console.log(
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'Defined global PlatformNode class for TensorFlow.js compatibility'
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)
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} catch (error) {
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console.warn('Failed to define global PlatformNode class:', error)
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}
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}
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/**
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* Check if an array is a Float32Array
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* @param arr - The array to check
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* @returns True if the array is a Float32Array
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*/
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export function isFloat32Array(arr: unknown): boolean {
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return !!(
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arr instanceof Float32Array ||
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(arr && Object.prototype.toString.call(arr) === '[object Float32Array]')
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)
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}
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/**
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* Check if an array is a TypedArray
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* @param arr - The array to check
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* @returns True if the array is a TypedArray
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*/
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export function isTypedArray(arr: unknown): boolean {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView))
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}
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