Artificial Intelligence

📚 Documentation

I'm following the "Lightning in 15 minutes" tutorial, and in the code snippet of the second section, there is a reference to a MNIST dataset from the tests/ directory.

![image](https://user-images.githubusercontent.com/30731072/169685554-7da2d549-09a5-4506-b99e-c6804d

hooks/prepare-commit-msg throws the following error because of an incorrect shebang:

hooks/prepare-commit-msg: 9: [[: not found

https://github.com/mlflow/mlflow/blob/7b87441a6d3061eccbb605254686decd5aa78288/hooks/prepare-commit-msg#L1

#!/bin/sh needs to be fixed to #!/bin/bash as follows:

diff --git a/hooks/prepare-commit-msg b/hooks/prepare-commit-msg
index 4

Is there an existing issue for this?

• I have searched the existing issues

What would you like to be added?

Current chunk manager didn't accept ctx for timeout and tracing control.
such as:
Read(ctx, Context, filePath string) ([]byte, error)

Why is this needed?

No response

Anything else?

No response

We support toml as params file. There are a few issues with our current toml parsing:

1. We use toml library, which is not toml 1.0 standard compatible. Also, the library is not being actively maintained.
2. toml dumping does not preserve existing formatting.
3. iterative/dvc#6402

We can try migrating to tomli (which

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

We currently have read and write capabilities but do not support deleting. We could add a few calls like delete delete_all and some recursive way of deleting.

Yes

When users run our tutorial notebooks, there are quite many convoluted log messages.

For example, there is the log message regarding apex and others:

"INFO - haystack.document_stores.base -  Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'.\n",
"INFO - haystack.modeling.model.optimization -  apex not found, won't use it. See https://nvidia.g