Skip to main content

Cannot read properties of undefined (reading 'VERTEX_SHADER')

I forked a lib designed to draw vectors on webgl in order to allow it to be suitable for animated draw by not recreating a buffer at every draw call. I tried it on a simple next app and it worked. Code is available here: https://github.com/Th0rgal/svgdemo/blob/main/pages/index.js And this draws: enter image description here

Unfortunately when I tried to do the same thing in my existing app, I ran into an error and I don't understand what could be the issue.

The error says: TypeError: Cannot read properties of undefined (reading 'VERTEX_SHADER') and seems to be caused by this line:

        this.loaded.load({
            webgl,
            shaders: {
                vertex: vertexShader,
                fragment: fragmentShader,
            },
            loc: {
                width: 400,
                height: 400,
            },
            needTrim: false,
        });

This is the exact same code than from the svgdemo and I use the same shader (it is not empty, I console.logged it). I have no mention of VERTEX_SHADER in my entire code nor in the lib code. The bugged project is available here: https://github.com/age-of-eykar/eykar.org/tree/472405a43a01629c187b593b90660e4450a31bd0

Entire error:

"TypeError: Cannot read properties of undefined (reading 'VERTEX_SHADER')
    at on (webpack-internal:///./node_modules/svg-webgl-loader-opti/dist/js/index.umd.js:6:12232)
    at eval (webpack-internal:///./node_modules/svg-webgl-loader-opti/dist/js/index.umd.js:6:22344)
    at Object.n.load (webpack-internal:///./node_modules/svg-webgl-loader-opti/dist/js/index.umd.js:6:22376)
    at _callee$ (webpack-internal:///./utils/map/assets.js:250:46)
    at tryCatch (webpack-internal:///./node_modules/next/dist/compiled/regenerator-runtime/runtime.js:45:40)
    at Generator.invoke [as _invoke] (webpack-internal:///./node_modules/next/dist/compiled/regenerator-runtime/runtime.js:274:22)
    at Generator.prototype.<computed> [as next] (webpack-internal:///./node_modules/next/dist/compiled/regenerator-runtime/runtime.js:97:21)
    at asyncGeneratorStep (webpack-internal:///./utils/map/assets.js:21:28)
    at _next (webpack-internal:///./utils/map/assets.js:39:17)"

The only difference I see is that I use webgl to draw with another shader, but the code that takes care of it is not called when the error happens (it's really at the initialization of the object).

Via Active questions tagged javascript - Stack Overflow https://ift.tt/sDfgRLU

Comments

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...