David Snelling
c275d86e56
- Removed the `test-tensorflow-textencoder` command from `cli.ts` as part of deprecating redundant tests and unused CLI functionality. - Simplified `TextEncoder` and `TextDecoder` definitions in `brainy-wrapper.js` by replacing direct constructor usage with shorthand properties within a utility object. This refactor reduces unnecessary complexity in CLI commands and improves maintainability by aligning with current project goals and streamlined test structure.
97 lines
2.9 KiB
JavaScript
Executable file
97 lines
2.9 KiB
JavaScript
Executable file
#!/usr/bin/env node
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/**
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* Brainy CLI Wrapper
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* This script patches the global object to fix TextEncoder issues before loading the CLI
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*/
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console.log('Brainy running in Node.js environment')
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// Define a custom PlatformNode class that doesn't rely on this.util.TextEncoder
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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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// Define a PlatformNode class that uses the global TextEncoder/TextDecoder directly
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class PlatformNode {
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constructor() {
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// Create a util object with necessary methods
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this.util = {
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// Add isFloat32Array and isTypedArray directly to util
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isFloat32Array: (arr) => {
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return !!(
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arr instanceof Float32Array ||
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(arr &&
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Object.prototype.toString.call(arr) === '[object Float32Array]')
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)
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},
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isTypedArray: (arr) => {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView))
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},
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// Instead of using constructors directly, create a utility object with constructors
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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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// Define isFloat32Array directly on the instance
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isFloat32Array(arr) {
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return !!(
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arr instanceof Float32Array ||
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(arr &&
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Object.prototype.toString.call(arr) === '[object Float32Array]')
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)
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}
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// Define isTypedArray directly on the instance
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isTypedArray(arr) {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView))
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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.PlatformNode = PlatformNode
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// Also create an instance and assign it to global.platformNode (lowercase p)
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global.platformNode = new PlatformNode()
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// Ensure global.util exists and has the necessary methods
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// This is needed because TensorFlow.js might look for these methods in global.util
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if (!global.util) {
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global.util = {}
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}
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// Add isFloat32Array method if it doesn't exist
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if (!global.util.isFloat32Array) {
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global.util.isFloat32Array = (arr) => {
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return !!(
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arr instanceof Float32Array ||
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(arr &&
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Object.prototype.toString.call(arr) === '[object Float32Array]')
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)
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}
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}
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// Add isTypedArray method if it doesn't exist
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if (!global.util.isTypedArray) {
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global.util.isTypedArray = (arr) => {
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return !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView))
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}
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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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// Now load and run the actual CLI
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import('./dist/cli.js').catch((err) => {
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console.error('Error loading CLI:', err)
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process.exit(1)
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})
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