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"description": "Find snippets of code from the codebase most relevant to the search query.\nThis is a semantic search tool, so the query should ask for something semantically matching what is needed.\nIf it makes sense to only search in particular directories, please specify them in the target_directories field.\nUnless there is a clear reason to use your own search query, please just reuse the user's exact query with their wording.\nTheir exact wording/phrasing can often be helpful for the semantic search query. Keeping the same exact question format can also be helpful.",
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Update a Hetzner Firewall rule with your IP address
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Vanished Tweet Recovery: Detects whenever a tweet mysteriously vanishes from your timeline for no reason and allows you to re-open it
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Logging setup for FastAPI, Uvicorn and Structlog (with Datadog integration)
Logging setup for FastAPI
This logging setup configures Structlog to output pretty logs in development, and JSON log lines in production.
Then, you can use Structlog loggers or standard logging loggers, and they both will be processed by the Structlog pipeline (see the hello() endpoint for reference). That way any log generated by your dependencies will also be processed and enriched, even if they know nothing about Structlog!
Requests are assigned a correlation ID with the asgi-correlation-id middleware (either captured from incoming request or generated on the fly).
All logs are linked to the correlation ID, and to the Datadog trace/span if instrumented.
This data "global to the request" is stored in context vars, and automatically added to all logs produced during the request thanks to Structlog.
You can add to these "global local variables" at any point in an endpoint with `structlog.contextvars.bind_contextvars(custom
In this tutorial we will build a simplified version of the Tanda Club DApp using the Reach framework. This will help us learn some of the basics or nessisary features of a Tanda Club DApp. Using Reachs high level features it will be easy to implement a Tanda Club DApp. Reachs linear state allows us to track all users during each phase of the Dapp.
This is a brief guide on how to install Archlinux as a WSL2 distribution and how to set up CUDA afterwards.
As of late, Window's WSL2 offers GPU passthrough from WSL2/Linux to Windows for NVidia graphics cards which allows to run (and develop) CUDA-based applications on the WSL2/Linux-side with almost native performance. Unfortunately, the official guides for the CUDA setup for WSL2/Linux are predominantly Ubuntu-specific. Here's to you, Arch!
1. Install Archlinux
Make sure that your Windows meets the dependencies and that your WSL2 is set up. See these instructions.
Archlinux is not among the default distributions available for WSL2. We'll install it from a tarball instead, a functionality offered natively by the WSL.
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