defaults | Initialize structs with default values | Configuration Management library

The number of variants that exist to showcase how postcss.config.js has to be configured is extremely confusing. There are examples (like the one at the tailwindcss documentation) that use this:

I'm trying to initiate a Springboot project using Open Jdk 15, Springboot 2.6.0, Springfox 3. We are working on a project that replaced Netty as the webserver and used Jetty instead because we do not need a non-blocking environment.

In the code we depend primarily on Reactor API (Flux, Mono), so we can not remove org.springframework.boot:spring-boot-starter-webflux dependencies.

I replicated the problem that we have in a new project.: https://github.com/jvacaq/spring-fox.

I figured out that these lines in our build.gradle file are the origin of the problem.

I'm trying to study the neural-network-and-deep-learning (http://neuralnetworksanddeeplearning.com/chap1.html). Using the updated version for Python 3 by MichalDanielDobrzanski (https://github.com/MichalDanielDobrzanski/DeepLearningPython). Tried to run it in my command console and it gives an error below. I've tried uninstalling and reinstalling setuptools, theano, and numpy but none have worked thus far. Any help is very appreciated!!

Here's the full error log:

I am trying to do a regular import in Google Colab.
This import worked up until now.
If I try:

[I ran into the issues that prompted this question and my previous question at the same time, but decided the two questions deserve to be separate.]

The docs describe using destructuring assignment with my and our variables, but don't mention whether it can be used with has variables. But Raku is consistent enough that I decided to try, and it appears to work:

There are so many ways to define colour scales within ggplot2. After just loading ggplot2 I count 22 functions beginging with scale_color_* (or scale_colour_*) and same number beginging with scale_fill_*. Is it possible to briefly name the purpose of the functions below? Particularly I struggle with the differences of some of the functions and when to use them.

• scale_*_binned()
• scale_*_brewer()
• scale_*_continuous()
• scale_*_date()
• scale_*_datetime()
• scale_*_discrete()
• scale_*_distiller()
• scale_*_fermenter()
• scale_*_gradient()
• scale_*_gradient2()
• scale_*_gradientn()
• scale_*_grey()
• scale_*_hue()
• scale_*_identity()
• scale_*_manual()
• scale_*_ordinal()
• scale_*_steps()
• scale_*_steps2()
• scale_*_stepsn()
• scale_*_viridis_b()
• scale_*_viridis_c()
• scale_*_viridis_d()

What I tried

I've tried to make some research on the web but the more I read the more I get onfused. To drop some random example: "The default scale for continuous fill scales is scale_fill_continuous() which in turn defaults to scale_fill_gradient()". I do not get what the difference of both functions is. Again, this is just an example. Same is true for scale_color_binned() and scale_color_discrete() where I can not name the difference. And in case of scale_color_date() and scale_color_datetime() the destription says "scale_*_gradient creates a two colour gradient (low-high), scale_*_gradient2 creates a diverging colour gradient (low-mid-high), scale_*_gradientn creates a n-colour gradient." which is nice to know but how is this related to scale_color_date() and scale_color_datetime()? Looking for those functions on the web does not give me very informative sources either. Reading on this topic gets also chaotic because there are tons of color palettes in different packages which are sequential/ diverging/ qualitative plus one can set same color in different ways, i.e. by color name, rgb, number, hex code or palette name. In part this is not directly related to the question about the 2*22 functions but in some cases it is because providing a "wrong" palette results in an error (e.g. the error"Continuous value supplied to discrete scale).

Why I ask this

I need to do many plots for my work and I am supposed to provide some function that returns all kind of plots. The plots are supposed to have similiar layout so that they fit well together. One aspect I need to consider here is that the colour scales of the plots go well together. See here for example, where so many different kind of plots have same colour scale. I was hoping I could use some general function which provides a colour palette to any data, regardless of whether the data is continuous or categorical, whether it is a fill or col easthetic. But since this is not how colour scales are defined in ggplot2 I need to understand what all those functions are good for.

I'm trying to figure out how to setup a login via Discord Oauth2 while using Dapper as my ORM.

Microsoft has a guide here that I have followed to setup all of my stores. I infact can call CreateAsync() method and a user gets created in my database, so I believe that side of things is completely setup.

My issues lie within external login. Below you will find what I have tried.

Program.cs:

I'm build Django app, and it's work fine on my machine, but when I run inside docker container it's rest framework keep crashing, but when I comment any connection with rest framework it's work fine.

• My machine: Kali Linux 2021.3
• docker machine: Raspberry Pi 4 4gb
• docker container image: python:rc-alpine3.14
• python version on my machine: Python 3.9.7
• python version on container: Python 3.10.0rc2

error output:

I am learning Ada and I've hit a design problem. Excuse me as I'm not up with basic Ada mechanisms and idioms.

Let's say I want to represent an operation. Operators can be either plus or minus and operands can be either integers or strings.

Disclaimer: some things may not make much sense on a semantic level (minus on strings, operators without operands, ...) but it's all about representation.

For now I have the following incorrect code:

operand.ads: