AdePT | Accelerated demonstrator of electromagnetic Particle | Performance Testing library

Deleting a "stand-alone" shape is reliable and pretty easy, something like:

Did you change like below code?

I think the "Success" button can be used in situations when you want the user to agree with the action that is going to be performed. For example, user modifies some data in the form in modal and in order to confirm or cancel the change, you can use "Success" button with the label "Confirm" and "Danger" button with label "Cancel".

for soccer games, 0 is not uncommon, I don't see what's wrong with it. But here is an alternative view: 1> determine total goals, which can poisson distribution. 2> For each of the goal, determine which team goaled, which can use the normlized team strength: A/(A+B) vs B/(A+B). I would suggest something benefit the stronger team more which seems to be more real world result.

This would require higher-rank types, which isn't supported in Scala 2.

It is supported in Scala 3: https://dotty.epfl.ch/docs/reference/new-types/polymorphic-function-types.html

I recommend using the interactive rebase tool.

Take a look at https://git-scm.com/book/en/v2/Git-Tools-Rewriting-History (go to "Changing Multiple Commit Messages")

The commit you want to skip is 69ee1de9, which is 5 commits deep into the history, so use HEAD~5 below.

This issue has been addressed by a Public Issue Tracker case, here. Since you are still experiencing it, you can leave a comment there and describe how you are experiencing the issue. Thus, the case will be re-opened.

However, there is a workaround. In order to be able to add a GPU to an AI platform Notebook instance after it is creation, follow the steps below:

1. Create an instance selecting Python 3 (CUDA Toolkit 11.0) and option without GPU;
2. Go to Compute engine and select your VM;
3. Stop the VM and click edit;
4. Under Machine configuration, go to GPU type and add the desired type of GPU;
5. Save the changes and start your VM;
6. SSH into it and you will be prompted to install the nvidia drivers;
7. If you are not prompt, use the following command to install the drivers: sudo /opt/deeplearning/install-driver.sh;
8. Confirm the installation of the drivers with nvidia-smi;

Please pay attention to the notes below:

• If you have a firewall rule, the port 22 should be whitelisted. You can use the command gcloud compute firewall-rules create default-allow-ssh --allow tcp:22 to do so.
• It is highly advisable to spread your work load across multiple regions, here;
• Currently, you seem to be using the GPUs instances on demand without the guarantee of capacity since the zone can be depleted. For this reason, if you want to guarantee your resources you can use a feature called Reservations, which ensures that the resources are available for your workloads when you need them;

The constructor in your top example tries to copy the unique_ptr but a unique_ptr isn't copyable.

You need to move it instead:

I'm going to assume this isn't homework. If it is, I will change the answer to some less specific hints.

A recursive descent parser works by recognizing the beginning token of a construct, then parsing the contents of the construct, then (very often) recognizing the ending token of the construct. S-expressions have just one construct, the parenthesized list. Your parser isn't doing the recognizing of the end of the construct.

If you assume your parser works correctly, then encountering a right parenthesis ) is a syntax error. There shouldn't be any unmatched right parentheses, and matching right parentheses are parsed as part of the parenthesized list construct (as I described above).

If you swear that this is just a personal project I'd be willing to write up a parser. But you should try writing up something as described above.

Note that when you see an atom, you aren't seeing a pair. It's not correct to return Pair (Atom xyz, rest) when seeing an atom.

Update

The way to make things work in a functional setting is to have the parsing functions return not only the construct that they saw, but also the remaining tokens that haven't been parsed yet.

The following code works for your examples and is probably pretty close to correct: