primers | A PCR primer tool for DNA assembly flows | Genomics library

I found the solution

1. I removed the following

   if ('serviceWorker' in navigator) { window.addEventListener('load', function () { navigator.serviceWorker.register('flutter_service_worker.js'); }); }

2. I upgraded all the javascript links and launched again Firebase Initiates.

Please add your firebase web config file to your index.html

Ex:

Found a solution here Stackoverflow: Flutter Web - Fetching Firestore collection

Apparently using version 8.3.0 was the problem. Use 7.14.4 instead

Apply = bad, Double Apply = very bad

If you are going Numpy in the function, why not go Numpy all the way? You would still prefer a batch-wise approach since the overall matrix would take tons of memory. Check the following approach.

Each iteration took me 2.05 seconds on a batch of 5000 students on a low-end macbook pro. This means for 500,000 students, you can expect 200 seconds approx, which is not half bad.

I ran the following on 100000 students and 1500 schools which took me a total of 30-40 seconds approx.

1. First I created a dummy set data: Exam scores (100,000 students, 4 scores), school weights (1500 schools, 4 weights) AND a boolean flag for which school has alternative as Y or N, Y==True, N==False

2. Next, for a batch of 5000 students, I simply calculate the element-wise product of each of the 4 subjects between the 2 matrices using np.einsum. This gives me (5000,4) * (1500,4) -> (1500,5000,4). Consider this as the first part of the dot product (without the sum).

3. The reason I do this is because this is a necessary step for both your conditions N or Y.

4. Next, FOR N: I simply filter the above matrix based on alt_flag, reduce it (sum) over last axis and transpose to get (5000, 766), where 766 are the number of schools with alternative == N

5. FOR Y:, I filter based on alt_flag and then I calculate the sum of the first 2 subjects (because they are common) and add those to the 3rd and 4th subject separately, take a max and return that as my final score. Post that a Transpose. This gives me (5000, 734).

6. I do this for each batch of 5000, until I have appended all the batches and then simply np.vstack to get the final tables (100000, 766) and (100000, 734).

7. Now I can simply stack these over axis=0 to get (100000, 1500) but if I want to map them to the IDs (student, schools), it would be easier to do it separately using pd.DataFrame(data, columns=list_of_schools_alt_Y, index=list_of_student_ids and then combine them. Read the last step for you.

8. Last step is for you to perform since I don't have the complete dataset. Since the order of the indexes is retained through batch-wise vectorization, you can now simply map the 766 school IDs with N, 734 school IDs with Y, and 100000 student IDs, in the order they occur in your main dataset. Then simply append the 2 data frames to create a final (massive) dataframe.

9. NOTE: you will have to change the 100000 to 500000 in the for loop, don't forget!!

There is no way to pass a FirebaseApp instance (or services taken from that such as the database or auth) between pages. Each web page that loads in a browser is its own instance, and will need to load the Firebase services it uses.

Because of consistency as explained in https://developers.google.com/web/fundamentals/primers/service-workers/lifecycle#activate I interpret it as : your user may be filling a form. You don't want the page to change behavior in the middle of his action.

Make sure to include the overall firebase script and the services you're using in your index.html in the web folder. Do it before the line in the body.

Note that even if flutter works well with the index.html as you have it, it's likely that this is the reason why it's not working on your local server.

In your case, move all the firebase related scripts (including the configuration script) before the main.dart.js script:

You need to add a stop once you find the first space ^SN .{220}[^\s]*, no sure if it is necessary but you can also add "or" (|) for ponctuation.

I would love to help you but could you share the error you get in the Chrome console log?

Usually, the problem is that you are using firestore and others but did not include them in the index.html.

For example: