fpc | Fragmentos de código para a disciplina Programação

I have found the solution to my question and would like to share the answer, so that it might help other users in future.

In order to get rid of No 'Access-Control-Allow-Origin' header, you need to add "proxy": "https://accounts.accesscontrol.windows.net/", in the package.json file and remove the proxy from fetch in your JS file. Your fetch should look something like this : fetch("834fb7b4-624d-4de8-a977-2d46ad979bd9/tokens/OAuth/2", requestOptions)

Note: This is a temporary solution as its for development purpose. In order to fix it permanently, you need to add the proxy in your server when you deploy it in the real world environment.

Thank you! Happy Coding!

This error says what's wrong: The request body must contain the following parameter: 'grant_type'.

To fix this, just add it as a parameter (formData in this case). According to the SharePoint docs, this value must be set to client_credentials.

you actually found a bug :-) version 4.2 has this fixed..you can use the development version of the survey package until the update goes to CRAN by installing with install.packages("survey", repos="http://R-Forge.R-project.org")

you need to declare fpc as an instance property of your view controller.

Upgrade your compiler to the latest VS2019 version (16.11) - see also https://bugreports.qt.io/browse/QTBUG-97999

Simply said:
a) VS Code is not affect by vcpkg integrate install, only MSBuild is ...
b) setting the CMAKE_TOOLCHAIN_FILE only works before the very first project() call
c) setting CMAKE_TOOLCHAIN_FILE before project() via cmake.configureSettings or other means does not work if there is already a configured cmake cache. d) don't modify CMAKE_PREFIX_PATH

So starting from a clean cmake build without any cache: Set CMAKE_TOOLCHAIN_FILE before project() by any means you want and it works. You might also need to set VCPKG_TARGET_TRIPLET. (using #include seems fine)

There is a possibility that the cached content is being evicted.

I would recommend reading through the Fastly Developer Hub page "Cache freshness and TTLs", which states:

IMPORTANT: We won't necessarily store objects for the full TTL requested, and may evict less popular objects earlier, especially if they are large. We also do not automatically evict objects when they reach their TTL. They simply become stale.

Additionally, Fastly's "Serving stale content" guide states:

Fastly has an LRU list, so objects are not necessarily guaranteed to stay in cache for the entirety of their TTL (time to live). But eviction is dependent on many factors, including the object's request frequency, its TTL, the POP from which it's being served. For instance, objects with a TTL of 3700s or longer get written to disk, whereas objects with shorter TTLs end up in transient, in-memory-only storage. We recommend setting your TTL to more than 3700s when possible.

It would also be worth having a quick read through Fastly's "Caching configuration best practices" guide, in case there's anything mentioned there that you have not yet configured.

Failing that you should also reach out to support@fastly.com as they're a friendly team who will be able to assist you.

I have a suggestion below, but first I see two issues:

1. You're loading two packages, fpc and dbscan, both of which have different functions named dbscan(). This could create tricky bugs later (e.g. if you change the order in which you load the packages, different functions will be run).
2. It's not clear what you're trying to plot, either what the x- or y-axes should be or the type of plot. The function plot() generally takes a vector of values for the x-axis and another for the y-axis (although not always, consult ?plot), but here you're passing it a data.frame and a dbscan object, and it doesn't know how to handle it.

Here's one way of approaching it, using ggplot() to make a scatterplot, and dplyr for some convenience functions: