Flight | lightweight command handler and argument parser

Working on a tool to make runway recommendations for flight simulation enthusiasts based off of the real world winds at a given airport. The ultimate goal is to compare, and return a list of available runways in a list, with the smallest wind variance displaying at the top of the list.

I would say that I probably have 95% of what I need, but where it gets slippery is for wind headings that approach 0 degrees (360 on a compass rose).

If runway heading is 029 and wind heading is 360, it is only a difference of 29 degrees, but the formula that I have written displays a difference of 331 degrees.

I have tried experimenting with abs() as part of the comparison but have gotten nowhere. I will link my current results here: https://extendsclass.com/php-bin/7eba5c8

Attempted switching comparisons for wind heading and runway heading (subtracting one from the other, and then the other way around) with the same result.

I am sure that the key lies in some little three line nonsense that I just cannot get the knack of (disadvantage of being a self-taught cowboy coder, I guess).

I saw a post about how to do it in C# from about 11 years ago but I never messed around with that particular deep, dark corner of the programming world.

The code is included below:

I am currently implementing Adyen Web Drop-in integration but ran into a problem testing it on staging.

From the Adyen developer console I can see the API request and response for the session endpoint which returns the sessionData payload as expected.

We then pass sessionData into a page which renders the form correctly.

I'm currently attempting to create a first-person space flight camera.

First, allow me to define what I mean by that.

Notice that I am currently using Row-Major matrices in my math library (meaning, the basis vectors in my 4x4 matrices are laid out in rows, and the affine translation part is in the fourth row). Hopefully this helps clarify the order in which I multiply my matrices.

What I have so Far

So far, I have successfully implemented a simple first-person camera view. The code for this is as follows:

I am building an airport model with passengers spawning, shopping/eating and departing.

Most passengers rush to their GateArea (Polygonal Node) and wait there until they feel it is appropriate to engage in discretionary activities. When they think about leaving the GateArea they generate a "Eat"- or "Shop"- Goal" and are transferred into a PedGoTo-Block that is linked to the according shop. At this point I sometimes get the error:

I am trying to create a graph where I am can view total flights by year, filtered by origin and its destination. Picture1: What I envision VS Picture2: The result.

Problem 1: Graph unable to appear on shinyApp.

Problem 2: When the graph appears, the graph does not change even when I select a different Origin from the dropdown box

I am quite new to shiny, any help would be greatly appreciated! The data I am using is from Harvard database- data expo 2009, Airline on time data.

I am trying to find the five shortest minimum distances, called min_dist, by origin/destination in the nycflights13 package in R Studio. The result should be a tibble with 5 rows and 3 columns(origin, dest, and min_dist).

I am a beginner and this is what I have so far:

I'm using F# and have an AsyncSeq<'t>>. Each item will take a varying amount of time to process and does I/O that's rate-limited.

I want to run all the operations in parallel and then pass them down the chain as an AsyncSeq<'t> so I can perform further manipulations on them and ultimately AsyncSeq.fold them into a final outcome.

The following AsyncSeq operations almost meet my needs:

• mapAsyncParallel - does the parallelism, but it's unconstrained, (and I don't need the order preserved)
• iterAsyncParallelThrottled - parallel and has a max degree of parallelism but doesn't let me return results (and I don't need the order preserved)

What I really need is like a mapAsyncParallelThrottled. But, to be more precise, really the operation would be entitled mapAsyncParallelThrottledUnordered.

Things I'm considering:

1. use mapAsyncParallel but use a Semaphore within the function to constrain the parallelism myself, which is probably not going to be optimal in terms of concurrency, and due to buffering the results to reorder them.
2. use iterAsyncParallelThrottled and do some ugly folding of the results into an accumulator as they arrive guarded by a lock kinda like this - but I don't need the ordering so it won't be optimal.
3. build what I need by enumerating the source and emitting results via AsyncSeqSrc like this. I'd probably have a set of Async.StartAsTask tasks in flight and start more after each Task.WaitAny gives me something to AsyncSeqSrc.put until I reach the maxDegreeOfParallelism

Surely I'm missing a simple answer and there's a better way?

Failing that, would love someone to sanity check my option 3 in either direction!

I'm open to using AsyncSeq.toAsyncEnum and then use an IAsyncEnumerable way of achieving the same outcome if that exists, though ideally without getting into TPL DataFlow or RX land if it can be avoided (I've done extensive SO searching for that without results...).

On Google Flights, search information is encoded in a URL parameter, presumably so users can share flight searches with each other easily. The URL format looks like this:

I am seeking to find optimal control (aoa and bank angle) to maximize cross range for a shuttle type reentry vehicle using Gekko. Below is my code currently and I am getting a "Solution not found" with "EXIT: Maximum Number of Iterations Exceeded". The simulation assumes a point mass with a non-rotating earth frame. The EOMS are 6 coupled, non-linear ODEs. I have tried using different solvers, implementing/removing state and control constraints, increasing maximum number of iterations, etc. I am not confident with my setup and implementation of the problem in Gekko and am hoping for some feedback on what I can try next. I have tried to follow the setup and layouts in APMonitor's Example 11. Optimal Control with Integral Objective, Inverted Pendulum Optimal Control, and Example 13. Optimal Control: Minimize Final Time. Solutions I'm seeking are below.

Any help is very much appreciated!