Results 25 issues of Arch

Anyone else on other OS having the same problems? It takes like 1 minute+ to restart everything.. Is there a way to fix this? What is the bottleneck?

Any thoughts of including that ? That would mean extending [dagre](https://github.com/dagrejs/dagre) perhaps? apprecaite any tips/guides on implementing that! (And maybe I can do a pr; !)

So I'm using using some TemplateHaskell packages. Namely `Data.Aeson.TypeScript.TH`. The code got compiled and all was good. So it's working just great. ---------- But if I'm debugging and try to...

Hi I'm learning Electron and looking into Fiddle's source. I noticed that `electron-forge/plugin-webpack` is used and the config shows: ``` devServer: { // Disallow browser from opening/reloading with HMR in...

Can we do that with wasm runtime like wasmer? Or does spin has an in-broswer run-time ? I was checking out WebContainer and noticed it was able to run node...

question

### Describe the bug got this error out of nowhere ``` LangfuseFetchHttpError: HTTP error while fetching Langfuse: 207 at retriable (/Users/archy/ARCH_GPT/ArchGPT/lib/node_modules/langfuse-core/src/index.ts:466:17) at processTicksAndRejections (node:internal/process/task_queues:95:5) at retriable (/Users/archy/ARCH_GPT/ArchGPT/lib/node_modules/langfuse-core/src/utils.ts:33:19) at Langfuse.fetchWithRetry (/Users/archy/ARCH_GPT/ArchGPT/lib/node_modules/langfuse-core/src/index.ts:448:12)...

question

I'm trying to install hakyll via stack on my mac but I run into problem while installing the dependencies. ``` Progress: 71/147 -- While building package optparse-applicative-0.13.2.0 using: /Users/a/.stack/setup-exe-cache/x86_64-osx/Cabal-simple_mPHDZzAJ_1.24.2.0_ghc-8.0.2 --builddir=.stack-work/dist/x86_64-osx/Cabal-1.24.2.0...

Curious if it supports HLS-ish `-- >>` Or any alternative for eval (during dev)? (Or how can we go about implementing it? )Thanks!

enhancement

Huge thanks to @aeosynth for the feedback on the previous PR ( #395 ). I have now fixed a few things that were overlooked in the previous implementation: 1. Now...

love the unifiying pipeline! (I came here from this thread https://github.com/huggingface/diffusers/issues/307) Just curious what's the difference between the current implementation that does `self.register_modules` again over the vae, text_encoder, etc as...

question