madness | Instant Markdown Server

Suppose I have a class, say, BasicModal and one type describing BasicModal's configurations, type BasicModalConfig = {} for instance, and I also have a function, that takes the class and its settings a parameters, let's assume its signature is function openModal(component, configs);. The goal is to infer the component's type (or class name if useful/possible) and use it in config's type as a type parameter and set the configurations value accordingly, in other words, mapped types, but without the nested ternary madness.

Example of the desired result:

I hope someone would be able to help, I am fairly new to PostgreSQL, not to mention json conversions thereof.

Currently I have written a cursor that populates the data from different tables in postgresql into a "temp" table (using json_agg) and then selecting the columns from the temp table to get the result set I need. This works well (for the time being), problem is I cannot find how to show the data the way the client wants.

The temp select that I am running is:

By simply changing the argument order in the join step, I can get the code below to run. I just installed the most recent version of Tidyverse as of this post (1.3.1), and I'm using R version 4.1.1 (2021-08-10), "Kick Things". Please end my madness:

Updates:

• If you run the the pipe without join statment, the assignment works fine (odd)
• I had an old version of the tidyverse (which I foolishly did not record), and the code would run. Now it does not with the latest version of tidyverse. Not to complicate things too much, but I did this on a different machine with R version R version 3.6.3 (2020-02-29).

I'm writing this post after hours of madness and thinking. Probably this is the most stupid exercise you are gonna read today but for me, after hours of exercise, is not like that.

Going back to the question. My professor requested an allocation of a dynamic array inside a linked list. And this point is nothing hard. I wrote the structure and define 2 types. The next step is to write 2 functions:

1. The first one, called init, creates a new element of the list, allocates the array using an n integer, and returns it to the main;
2. A print function to show what the arrays have at their inside.

The code looks like that.

I am building a WPF Application, which has a single Window, a tabbed interface with multiple view models (2 view models, the first tab is ViewModel1 and the rest will always be ViewModel2) these are loaded by user controls using data triggers.

Finally there are also a other windows such as Dialogs/Settings etc.

Project Structure

My project is split into several layers as described below:

• Core Layer (Base Code Layer/Interfaces very little 3rd party libraries)
• Repo Layer (Repository Layer with EF, basic CRUD functions without business logic)
• Service Layer (Individual service layers which make use of the repos, also contain business logic)
• WPF Layer (Main UI Layer with View Models)

One of the issues I have is using DI within an WPF/MVVM setting, I have seen many resources online and a lot of this is ASP.NET Core DI which is not relevant to what I am focusing on. The issue I find is that in WPF there seems to be a single applications Start-up point (MainWindow) which when using DI everything is injected into the constructor, this is then passed down further to other dialogs/models this seems very cumbersome (or I am doing it wrong). For example I currently have something similar to this in the App code behind using Microsoft DI.

(Dialog is for creating dialogs/opening windows etc, Messaging is for Message Boxes)

I have some data that forms exponential curve and I'm trying to fit that curve to the data.

Unfortunately everything I have tried didn't work (I will spare you madness of the code).

The thing is that it works when I used a*x**2 +b*x + c or a*x**3 + b*x**2 +c*x + d with what I found on internet (using implementation(s) of from scipy.optimize import curve_fit). Again I will spare you my iterations of exp function.

Here is the data:

The madness packages, as mentioned here, is nice for autodiff in R.

I would like to compute now a derivative wrt x of a derivative wrt y.

$\frac{\partial}{\partial x}\frac{\partial}{\partial y}xy$

how can this be done using madness?

update: actually here I guess it factors.. maybe this will be ok by just multiplying the two derivatives? Maybe this will only be difficult if x is a function of y.

I'm staggered by how much I'm struggling to delete a document in MongoDB from Express JS. I'm finding the mix of documentation and methods including deleteOne, findByIdAndRemove, some tutorials say you need to declare an ObjectId, and some don't. Madness.

Anyway, below is my code. I have a function to connect to the database:

In one of my functional components in an application using React.js, calling getElementsByClassName returns 'undefined', when clearly, there is a section tag with the className.