participle | A parser library for Go | Parser library

Referring to verb as a global variable in JS is the way you do it with score and maxQuestions variables, cause you define them out of any scope. If you define verb at the top and fill it with the response you can access it from any other function.

About asking 10 times, adding an event listener to dynamically generated elements may be a little different from static ones, you should use event delegation to handle the events without assigning event listener every time.

As suggestion, you can use a next button to reveal next question and append a cloned element of the question row to the question containers like this:

From the documentation on reading and writing with v9:

Are you using the management command?, are you connected to the DB?. If you are running this outside of Django, please use django.setup(). Try and change the script to a management command and use python manage.py.

There are two problems that I see, the first being a rule definition syntax error, the second being an error with the rules themselves.

The parser is not able to parse anything, because the parser still needs to get a { token to begin the first rule SimpleArray. The reason why the first { token is not being passed through by the lexer is because the name of the rule punct should be capitalized Punct. Tokens in a lowercase rule (like whitespace) are read by the lexer, but not passed to the parser.

Additionally, there is another problem that is not letting you parse the commas. You need to modify the rule to allow for additional items which have the separating comma.

Change the following:

Same issue, seems the prj use dep. I've fixed cloning the repo, then configuring the go module that find the right project dependencies. Then run go get again and the build success:

This way you can iterate over data source.

Without any Javascript, you can use the so-called 'checkbox-hack', which basically means that you use a hidden HTML checkbox and (ab)use its :checked state to hide/show some other element(s).

Base logic:

I know this answer does not produce a minimal reproducible sample, but this provides a solution for the OP needings.

Code:

As far as I know Spacy does not have built-in function for this type of transformation, but you can use an extension where you map present/past tense pairs, and where you don't have the appropriate pairs 'ed' suffix for the past participle of weak verbs as below: