Currently we implement our own data url parsing in the data_url_media_type function in the lsp: https://github.com/denoland/deno/blob/1ed95120225eb3d7c9adeadcc3b1f610dbe55b7e/cli/lsp/urls.rs#L52-L61

We also implement a slightly different parser in the module loader: https://github.com/denoland/deno/blob/8d55d8b6be8731d37ccf6a29127b3a91a8319d0b/cli/file_fetcher.rs#L156-L188

Both of these cu

Is your feature request related to a problem? Please describe.
Many of our packages seem to have a little bloat. We want to reduce our environmental impact (and also the time spent downloading / building / shipping).

Describe the solution you'd like
Every npm package should have an .npmignore that prunes non-necessary stuff
Remove tests / examples from crates

-ALWAYS ship the li

Whenever example command logica primes.l run Prime is executed, error is produced:
FileNotFoundError: [Errno 2] No such file or directory: 'bq'

It happens in docker container ubuntu:latest with python3.8.5 installed

Please see the log output:

root@d0094b59f905:/home# logica primes.l run Prime
Traceback (most recent call last):
  File "/usr/local/bin/logica", line 8, in <module

The "from Hits" portion isn't supported. I don't believe there are any sources of bleeding that come from non-hits, so that could potentially be added in the same place as Damage over Time Multiplier for Bleeding

The Codelab for the firebase dynamic links package (https://codelabs.developers.google.com/codelabs/flutter-firebase/#4) returns a 404 Not Found error when visited.

If the Codelab has been removed then perhaps it should be deleted from the readme.

![image](https://user-images.git

grep -nr '/enhancements/keps/' * | grep -v '^vendor' | grep -v '/README.md' | grep -v '.json' | grep -v '.pb.go' | grep -v '.proto' | grep -v 'generated'

• OWNERS_ALIASES:581: # conformance aliases https://git.k8s.io/enhancements/keps/sig-architecture/20190412-conformance-behaviors.md
  #101009
• pkg/apis/core/types.go:2835: // More info: https://git.k8s.io/enhancements/keps

🚀 Feature request

This is a feature request to add Wav2Vec2 Pretraining functionality to the transformers library. This is a "Good Second Issue" feature request, which means that interested contributors should have some experience with the transformers library and ideally also with training/fine-tuning Wav2Vec2.

Motivation

The popular [Wav2Vec2](https://huggingface.co/models?filter=w