ire | I2P router implementation in Rust

Trying to connect to a host over the Remote-SSH of Visual Studio Code, I'm getting the following pop-up error:

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I am trying to scrape this website for the data in the table: https://investor.vanguard.com/etf/profile/overview/ESGV/portfolio-holdings

I have inspected the website and found that the data came from a JSON table through an external link. This is my code trying to target that link through headers and payloads:

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I have a dataset in the following format:

Date Time efx jpd Nation 01/01/22 10:00 9.2 7.9 UK 01/01/22 10:10 8.9 8.5 UK 01/01/22 10:20 9.5 8.5 USA 01/01/22 10:30 9.1 8.7 IRE ... ... ... ... ...

I'm trying to get it in this format where efx are the values:

Date IRE USA UK ... 01/01/22 8.7 9.2 7.9 01/01/22 8.4 8.9 8.5 01/01/22 8.5 9.5 8.5 01/01/22 8.4 9.1 8.7 ... ... ... ... ...

If I execute this code then it achieves what I'm after:

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I'm working with API requests for the first time, and I'm wondering if the following is possible to do:

I have a function that receives API responses that look like this:

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Information about my setup

• wxWidgets: 3.1.5 (also tried the latest source from github)
• wxWidgets: built using gcc-11.2 under msys2 (ucrt64)
• Windows 10 Application: build using gcc-11.2 under msys2 (ucrt64)
• Monitor native resoultion: 3840 x 2160
• IDE: Eclipse 2021-09

My Problem

If I build my application and link against a resource file that is not using a HiDPI aware manifest then everything works correctly but the fonts are, as one would expect, pixelated. However, once I link with a HiDPI aware resource file then the controls are not resized proportionally with their associated text. Please see the following screenshots.

The image above shows the test wxFrame being rendered without a HiDPI aware resource file. The monitor scaling was 200%. As you can see, the wxFrame has rendered correctly.

The image above shows the test wxFrame being rendered without a HiDPI aware resource file. The monitor scaling was 350%. As you can see, (aside from the blurry text) the wxFrame has rendered correctly..

The image above shows the test wxFrame being rendered with a HiDPI aware resource file. The monitor scaling was 200%. As you can see, the wxFrame has rendered badly. This wxFrame renders correctly at 100% scale.

Here is a minimal fully functional code sample to demonstrate my problem.

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When we have multiple jobs communicating via mpsc with a parent thread, there are various strategies for program termination. When the last job is known, as in this example from the book, we can move the channel transmitter into the last thread and then iterate over the receiver. The iteration will terminate after all jobs have terminated because there will be no remaining references to the transmitter. Similarly, if we know the number of jobs n_jobs upfront, as in this example from the threadpool docs, we can take n_jobs results explicitly from the receiver and process them. Finally, in a server application, we can simply listen to the receiver forever and avoid detecting termination conditions altogether.

However, it's less clear what to do when we have an as yet unknown but finite number of jobs to process.

As a concrete example, imagine a graph with a known starting vertex start and an initially unknown, finite number of vertices reachable from start. A worker is spawned to walk the graph from start and e.g. compute shortest paths to reachable vertices. Each time it discovers a previously unseen reachable vertex reachable, it sends reachable back to the main thread via a channel. Meanwhile, the main thread listens to the channel and spawns a new worker from a pool whenever it receives reachable. Eventually, all reachable vertices have been found and processed, and the program terminates.

What is an efficient pattern for the main thread to both listen to the channel and terminate when finished? The best I've been able to come up with is a busy loop that checks the receiver, checks the worker count (as maintained in a Mutex), and then sleeps or terminates as appropriate, as demonstrated in the following contrived example:

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I'm trying to convert the output of this code into a dataframe. The code takes a tab-separated txt file from AWS S3 and turns it into a csv

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Here's a sample of the data I'm working on(first line are the column names):

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