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QUESTION
This question is about two MAUI controls (Switch
and ListView
) - I'm asking about them both in the same question as I'm expecting the root cause of the problem to be the same for both controls. It's entirely possible that they're different problems that just share some common symptoms though. (CollectionView
has similar issues, but other confounding factors that make it trickier to demonstrate.)
I'm using 2-way data binding in my MAUI app: changes to the data can either come directly from the user, or from a background polling task that checks whether the canonical data has been changed elsewhere. The problem I'm facing is that changes to the view model are not visually propagated to the Switch.IsToggled
and ListView.SelectedItem
properties, even though the controls do raise events showing that they've "noticed" the property changes. Other controls (e.g. Label
and Checkbox
) are visually updated, indicating that the view model notification is working fine and the UI itself is generally healthy.
Build environment: Visual Studio 2022 17.2.0 preview 2.1
App environment: Android, either emulator "Pixel 5 - API 30" or a real Pixel 6
The sample code is all below, but the fundamental question is whether this a bug somewhere in my code (do I need to "tell" the controls to update themselves for some reason?) or possibly a bug in MAUI (in which case I should presumably report it)?
Sample codeThe sample code below can be added directly a "File new project" MAUI app (with a name of "MauiPlayground" to use the same namespaces), or it's all available from my demo code repo. Each example is independent of the other - you can try just one. (Then update App.cs
to set MainPage
to the right example.)
Both examples have a very simple situation: a control with two-way binding to a view-model, and a button that updates the view-model property (to simulate "the data has been modified elsewhere" in the real app). In both cases, the control remains unchanged visually.
Note that I've specified {Binding ..., Mode=TwoWay}
in both cases, even though that's the default for those properties, just to be super-clear that that isn't the problem.
The ViewModelBase
code is shared by both examples, and is simply a convenient way of raising INotifyPropertyChanged.PropertyChanged
without any extra dependencies:
ViewModelBase.cs:
...ANSWER
Answered 2022-Apr-09 at 18:07These both may be bugs with the currently released version of MAUI.
This bug was recently posted and there is already a fix for the Switch to address this issue.
QUESTION
I tried upgrading Android Gradle Plugin from 4.2.2 to 7.0.1 using the upgrade assistant which is available in Android Studio at Tools > AGP Upgrade Assistant. The only change it made was to my project-level build.gradle file:
...ANSWER
Answered 2021-Aug-24 at 16:35the Android Gradle Plugin documentation still says classpath 'com.android.tools.build:gradle:4.2.0' instead of 7.0.1.
You need to read further down the page, to this and this. That table is only relevant for pre-7.0.0 versions.
Is this a bug in Android Gradle Plugin 7.0.1?
Quite possibly. Or, perhaps beyond, as the Instantiatable
Lint check has a history of problems.
If your scenario does not match one of those three August 2021 bugs, and you are in position to provide a reproducible test case, file a fresh issue! Beyond that, if a clean-and-rebuild is not clearing up your problem, you might need to simply disable the Instantiatable
Lint check for the time being by adding the following to all of your build.gradle files at the application or library level (i.e. all except your project-level build.gradle):
QUESTION
I am trying to run a CentOS 8 server through VirtualBox (6.1.30) (Vagrant), which worked just fine yesterday for me, but today I tried running a sudo yum update
. I keep getting this error for some reason:
ANSWER
Answered 2022-Mar-26 at 20:59Check out this article: CentOS Linux EOL
The below commands helped me:
QUESTION
Is it possible to perfectly forward *this
object inside member functions? If yes, then how can we do it? If no, then why not, and what alternatives do we have to achieve the same effect.
Please see the code snippet below to understand the question better.
...ANSWER
Answered 2022-Mar-04 at 17:44This is not possible in C++11 without overloading sum
for &
and &&
qualifiers. (In which case you can determine the value category from the qualifier of the particular overload.)
*this
is, just like the result of any indirection, a lvalue, and is also what an implicit member function call is called on.
This will be fixed in C++23 via introduction of an explicit object parameter for which usual forwarding can be applied: http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p0847r7.html
QUESTION
I spent 2 hours trying to figure out what's wrong with my pipeline for Azure Functions .NET6 (on Windows).
...ANSWER
Answered 2021-Oct-27 at 08:50I found the solution here https://jaliyaudagedara.blogspot.com/2021/07/azure-devops-building-projects.html
It works if I specify the .NET Core SDK version & set preview version to true
QUESTION
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.
ANSWER
Answered 2022-Feb-01 at 18:14This is a good question... and I would have hoped there would be a practical guide somewhere. One could question if SO would be a good place to ask this question, but regardless, here's my attempt to summarize the various scale_color_*()
and scale_fill_*()
functions built into ggplot2
. Here, we'll describe the range of functions using scale_color_*()
; however, the same general rules will apply for scale_fill_*()
functions.
There are 22 functions in all, but happily we can group them intelligently based on practical usage scenarios. There are three key criteria that can be used to define practically how to use each of the scale_color_*()
functions:
Nature of the mapping data. Is the data mapped to the color aesthetic discrete or continuous? CONTINUOUS data is something that can be explained via real numbers: time, temperature, lengths - these are all continuous because even if your observations are
1
and2
, there can exist something that would have a theoretical value of1.5
. DISCRETE data is just the opposite: you cannot express this data via real numbers. Take, for example, if your observations were:"Model A"
and"Model B"
. There is no obvious way to express something in-between those two. As such, you can only represent these as single colors or numbers.The Colorspace. The color palette used to draw onto the plot. By default,
ggplot2
uses (I believe) a color palette based on evenly-spaced hue values. There are other functions built into the library that use either Brewer palettes or Viridis colorspaces.The level of Specification. Generally, once you have defined if the scale function is continuous and in what colorspace, you have variation on the level of control or specification the user will need or can specify. A good example of this is the functions:
*_continuous()
,*_gradient()
,*_gradient2()
, and*_gradientn()
.
We can start off with continuous scales. These functions are all used when applied to observations that are continuous variables (see above). The functions here can further be defined if they are either binned or not binned. "Binning" is just a way of grouping ranges of a continuous variable to all be assigned to a particular color. You'll notice the effect of "binning" is to change the legend keys from a "colorbar" to a "steps" legend.
The continuous example (colorbar legend):
QUESTION
Is there a way to put text along a density line, or for that matter, any path, in ggplot2? By that, I mean either once as a label, in this style of xkcd: 1835, 1950 (middle panel), 1392, or 2234 (middle panel). Alternatively, is there a way to have the line be repeating text, such as this xkcd #930 ? My apologies for all the xkcd, I'm not sure what these styles are called, and it's the only place I can think of that I've seen this before to differentiate areas in this way.
Note: I'm not talking about the hand-drawn xkcd style, nor putting flat labels at the top
I know I can place a straight/flat piece of text, such as via annotate
or geom_text
, but I'm curious about bending such text so it appears to be along the curve of the data.
I'm also curious if there is a name for this style of text-along-line?
Example ggplot2 graph using annotate(...)
:
Above example graph modified with curved text in Inkscape:
Edit: Here's the data for the first two trial runs in March and April, as requested:
...ANSWER
Answered 2021-Nov-08 at 11:31Great question. I have often thought about this. I don't know of any packages that allow it natively, but it's not terribly difficult to do it yourself, since geom_text
accepts angle
as an aesthetic mapping.
Say we have the following plot:
QUESTION
I am trying to set up a conda environment with python 3.10 installed. For some reason, no install commands for additional packages are working. For example, if I run conda install pandas
, I get the error:
ANSWER
Answered 2021-Oct-08 at 08:42Thats a bug in conda, you can read more about it here: https://github.com/conda/conda/issues/10969
Right now there is a PR to fix it but its not a released version. For now, just stick with
QUESTION
I recently wrote
...ANSWER
Answered 2022-Jan-24 at 21:54You could perhaps do it like this:
QUESTION
Is there any practical difference between std::array
and const std::array
?
It looks that non-const array holding const elements is still not able to be swapped; assignment operator is not working either.
When should I prefer one over the other one?
...ANSWER
Answered 2022-Jan-21 at 15:04there could be at least one difference - case when you need to pass variable to some other function, for example:
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