net-L | Logging as simple as it can be

If I call IDurableOrchestrationClient.TerminateAsync on a running orchestrator that is currently sleeping and waiting on a durable timer created through IDurableOrchestrationContext.CreateTimer, will this result in a graceful shutdown of the entire process including the timer?

The documentation on timers has a very explicit warning regarding graceful cancellation of any timers that didn't activate in the orchestration:

• https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-timers?tabs=csharp#usage-for-timeout

Warning

Use a CancellationTokenSource (.NET) or call cancel() on the returned TimerTask (JavaScript) to cancel a durable timer if your code will not wait for it to complete. The Durable Task Framework will not change an orchestration's status to "completed" until all outstanding tasks are completed or canceled.

Will calling Terminate respect these restrictions? The documentation on it doesn't make this clear at all.

I have a requirement where I need to "monitor" some instance for some time after it is created, and to stop monitoring it once the instance is deleted.

For now, my application raises EventGrid events on creation and deletion of entities, and I listen to those in my orchestration trigger activity: once a creation event is received, I start the orchestration that monitors that instance. Once the deletion event is received, I send an external event to the orchestrator to signal that it should stop monitoring that instance and terminate. Each creation/deletion pair is handled by its own monitor of course (they are isolated from one another, controlled by an explicit instance ID based on the entity ID).

The orchestrator logic basically fires 2 tasks and waits for the first to finish:

1. A timer, based on data in the created instance. This can be minutes, to months
2. A WaitForExternalEvent that waits until the trigger function notifies of a cancellation

If task 2 wins, I cancel the timer (as per the recommendation), and exit the function. If task 1 wins, I do the processing I need on the instance and ignore the external event.

The orchestrator itself looks something like this:

I'm trying to access a simple Asp.net core application deployed on Azure AKS but I'm doing something wrong.

This is the deployment .yml

I'm trying to implement the UNET at the keras website:

Image segmentation with a U-Net-like architecture

With only one change. use Dice loss instead of "sparse_categorical_crossentropy". However, every time I try something, I get different error. I'm coding on google colab using Tensorflow 2.7.

For example, I tried using

I'm trying to extract specific data from a webpage using this code:

I have just spent the better part of an hour searching for ways to send a button with a message using Discord.Net. In one of their recent merges with Discord.Net-Labs, they said they added a bunch of things, including buttons. However, checking both of their documentation, I couldn't find any way to add a button to a message. I would appreciate an example and/or link to an example of attaching buttons. Thanks :>

I am using libraries Microsoft.Azure.Storage.Blob 11.2.3.0 and Microsoft.Azure.Storage.Common 11.2.3.0 to connect to an Azure BlobStorage from a .NET Core 3.1 application.

When I started working on this, I had been given connection strings that gave me full access to the BlobStorage (or rather, the entire cloud storage account). Based upon those, I chose to write my connection code "defensively", making use of Exists() and CreateIfNotExists() from the CloudBlobContainer class to ensure the application would not fail when a container was not yet existing.

Now, I'm connecting a BlobStorage container using a SAS. While I can freely retrieve and upload blobs within the container like this, unfortunately, it seems that I am not allowed to do anything on the container level. Not only CreateIfNotExists, but even the mere querying of existence by Exists() throws a StorageException saying

This request is not authorized to perform this operation.

The documentation does not mention the exception.

Is there any way to check preemptively whether I am allowed to check the container's existence?

I have tried looking into the container permissions retrieved from GetPermissions, but that will throw an exception, as well.

The only other alternative I can see is to check for container existence within a try-catch-block and assume existence if an exception is thrown ...

I am making a deep learning network that finds several points in 3d space.

The input is a stack of grayscale 1024 x 1024 images(# of images varies 5 to 20 ), and the output is 64 x 64 x 64 space. Each voxel of output has 0 or 1, but in my dataset there are only 2000 1s, so it is hard to tell whether my network is being trained well by observing the training losses.

For example if my network only spit out np.zeros((64,64,64)) as output, the accuracy still would be 1-2000/(64x64x64)~=99.9%.

So I want to ask which deep learning network I should choose for finding very small number of answers from 3d space. The input size becomes (1024 x 1024 x #img) and output size (64 x 64 x 64). I am now making experiments using 2D Unet-like net / 3D Unet-like net, with ReLU-with-ceiling end activation.

Please somebody recommend anything to refer and thank you very much.

Lets suppose that I have a input layer with shape (h,w,f) = (1 x 1 x 256 )

And let me make two sequence

case 1 :

I have a working ldap search query