maaft

Results 35 issues of maaft

### What happened? Consider this schema ``` directive @oneOf on INPUT_OBJECT | FIELD_DEFINITION input UserBy @oneOf { id: ID email: String username: String registrationNumber: Int } input UserInput { by:...

### Version Information Server Version: 2.9.0 CLI Version (for CLI related issue): 2.9.0 ### Environment ubuntu 22.04. ### What is the current behaviour? Attempting to drop column "segmentation_markup_id" from table...

k/bug

## 🚀 Feature Sometimes you want to apply augmentations to e.g. masks the need to transform also an image. ## Alternatives None ## Additional context When using AugmentationSequential like this:...

enhancement :rocket:
help wanted
module: augmentations

When testing the pose prediction accuracy (in `pose_evaluation_utils.py`), the ATE of a snippet is divided by the snippet length. Both predicted and GT snippets have the Identity transformation as their...

Without type hints, auto-completion does not work when indexing slices The solution would be to add following type hints to all generated `Slice_Ptr_*` classes ![image](https://user-images.githubusercontent.com/2518993/173044447-e1bd2b95-f9ef-4c25-b51f-8e67b1004e8e.png)

help wanted

This Golang string literal: ![image](https://user-images.githubusercontent.com/2518993/173039274-8c955f63-a503-4018-b341-8a06c5c3adf1.png) Will be generated to: ![image](https://user-images.githubusercontent.com/2518993/173039207-360c3ab2-8ae5-4ad9-a599-e12e2166e8c6.png) some parts of the string are missing.

When using these websocket options, subscriptions fail silently without any error. Is this the correct usage? ```c-sharp client.Options.ConfigureWebSocketConnectionInitPayload = o => new Dictionary { {"X-DUG-Auth", "XXXXXXXXXXXXXX"} }; ```

Hi @krotik! EliasDB looks very promising to become a one-stop GraphQL-DB solution. However, I think there are some points that could increase the current experience tremendously: ## 1. Better GraphQL...

When creating the train-loader, every worker is initialized with its ID as a random seed. ```python if not args.evaluate: train_loader = torch.utils.data.DataLoader( train_dataset, batch_size=args.batch_size, shuffle=True, num_workers=args.workers, pin_memory=True, sampler=None, worker_init_fn=lambda work_id:np.random.seed(work_id))...

AFAIK Resize doesn't support float16 and should therefore be ignored during conversion from float to float16.