A list of puns related to "Unclutter"
I get that we are a few days removed from a season ending, but dear lord there are way too many mock draft posts being submitted and clogging up the page. I'm not trying to sound like the fun police, but we have 3 months until the draft and so many things are going to change on these boards. Gonna get old real fast seeing 3-5 mock drafts being posted every day on this sub.
I have a raspberry pi and I'm trying to hide the cursor since it's going to be a kiosk. I've installed unclutter, but it simply does not work. I know it worked with Ubuntu 20.04.
Does anyone have any other options to hide the cursor on Ubuntu 21.10?
I've tried everything, please.
So both Unclutter and TextSniper stopped working after I updated to Monterey. And there's not even an error or anything, the apps just don't open at all no matter how many times I click on them. Tried restarting and stuff but nothing's working.
Contacted Unclutter developer and he said he has no issues opening up on Monterey. So it's just happening to me, very weird.
Hello,
I'm still relatively new to Linux, and am looking for a text or notes app that lives in top bar, opens similar to the way guake or ddterm open, and can be triggered by a key command or trackpad gesture.
macOS has this awesome app called unclutter that does this well. You move your mouse to top of any desktop and two finger swipe down to reveal an overlay of three columns; a clipboard manager, finder window, and a simple note taking app.
I'm more interested in the notes portion as I sometimes need to jot something down or copy something real quick. Kinda like a sticky note, but unlike a sticky note, I can stay on my current desktop and app.
I've tried searching and can't find anything that comes close. The best I've done is use the gnome extension todo.txt. It works well, but isn't meant for that.
Any help would be appreciated.
Oh, I'm on fedora 35 silverblue, gnome 41, on a framework laptop.
Thanks for reading
Do you know of an app alternative to Unclutter?
With this app you can quickly clear files out of sight. Additionally, there's a clipboard and a note function. Ultimately, it would be enough for me to have the files off the desktop in the short term - I can create notes with TOT or the Apple Notes app and for the clipboard there's Maccy and other apps.
To elaborate I have a Dell PC and have added a bunch of software and it's making both my hard drive and desktop look terrible I'm wanting to learn how to clean up the PC (preferably without doing a factory reset) so I can start working on a few new hobbies
So I am making my first magicmirror and was trying to figure out how to disable the mouse icon from the screen when my magicmirror auto launches and I found this advice from a forum and followed it as i already had unclutter installed.
You have install unclutter but not configure it!
start a ssh session, log in to you pi an type following command:
sudo nano /home/pi/.config/lxsession/LXDE-pi/autostart
The entries of this file begins wit an @ for programβs witch are started by a GUI
@xscreensaver -no-splash @xset s off @xset -dpms @xset s noblank @unclutter
After saving this, restart your pi an check the status of you mouse cursor.
However i kind of just followed it blindly and now realize I may have uncluttered too much. Now when I boot my pi the mirror launches and the mouse is gone as I desired, but when i close the mirror app to work on other things with the pi my screen goes completely blank and all thats left is my mouse icon. I can use control alt delete to reboot the pi and such but thatβs about it. Is there anyway to get rid of the unclutter on the screensaver and such? Thanks
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I like the daily thread, itβs a good way to connect with others almost in real time and ask questions. However, itβs also full of people who just shill a coin or another and upvote each otherβs comments over and over.
Is there anything we could do to reduce the clutter? Iβd love to see some kind of filtering so for example I could hide anything related to a certain keyword (e.g. βVetβ)
If not, would excluding (or reducing) karma earned on the daily from moons be a good incentive?
Now there's just a giant thread with 1000's of topics that you can't keep track of because everyone is posting a different topic every 5 minutes.
Recently, I have started learning how to use the 'igraph' library in R for creating graph networks. I created an example which shows some sort of "relationship" between groups of people (e.g. personA sells a car to PersonB, PersonB sells a car to PersonC, PersonC cells a car to personB). Eventually, I would like to run graph based clustering on this kind of data (e.g. what is the shortest path between two people, is there a relation between two people, etc.).
Here is the fake data (the numbers correspond to each person's ID) I created and the resulting graph:
library(igraph)
#create first file
x5 <- sample(1:100, 50, replace=T)
#create second file
x4 <- sample(1:100, 50, replace=T)
#combine files
a = cbind(x4,x5)
#convert to data frame
a = data.frame(a)
#convert to factor
a$x4 = as.factor(a$x4)
#convert to factor
a$x5 = as.factor(a$x5)
#convert to matrix
a = as.matrix(a)
#create graph
graph_object = graph_from_edgelist(a)
#plot graph
plot(graph_object)
This is what I had wanted, but I have one problem. In my actual data, there are thousands of people and theirs ID's are several numbers long. This means, when I run the following code on more people with longer ID's, the resulting graph becomes so cluttered and crowded, it becomes impossible to read.
Here is an example that is closer to my situation:
library(igraph)
library(dplyr)
#create file from which to sample from
x5 <- sample(1:1000000000, 2000, replace=T)
#convert to data frame
x5 = as.data.frame(x5)
#create first file (take a random sample from the created file)
a = sample_n(x5, 1000)
#create second file (take a random sample from the created file)
b = sample_n(x5, 1000)
#combine
c = cbind(a,b)
#create dataframe
c = data.frame(c)
#rename column names
colnames(c) <- c("a","b")
#convert to factors
c$a = as.factor(c$a)
c$b = as.factor(c$b)
#convert to matrix
c = as.matrix(c)
#create graph
graph_object = graph_from_edgelist(c)
#plot graph
plot(graph_object)
Is it possible to change the output of this graph so that it becomes easier to read? I started reading about the "forced graph layout", but I am not sure if this will help. I see that there are other network/graph visualization packages in R, such as "visNetwork" - could this be used to unclutter the graph? Is it possible to "hide" the ID's in the output, i.e. the ID is displayed when you move the mouse cursor over the nodes, or appear when you click on the
... keep reading on reddit β‘Unclutter the map by switching off map locations
A map switch for cars that turns off map locations to unclutter the map
Another week and I'm back after some friends just dumped more diys on my island. Please comment below which recipes you would like and I'll be taking one person in at a time and please no swimming.
Backyard lawn
Bamboo bench
Bamboo floor lamp
Bamboo hat
Bamboo shelf
Bamboo stopblock
Cutting board
Dark bamboo rug
Iron frame
Iron hanger stand
Jungle flooring
Larger cardboard boxes
Magazine rack
Modern wood wall
Natural square table
Orange umbrella Γ2
Paw-print doorplate
Peach chair
Peach dress
Rustic-stone wall
Shell fountain
Tall garden rock
Wooden-block chest
Wooden-knot wall
Wooden-mosaic wall
Wooden full-length mirror
Wooden toolbox
I havenβt been able to find unclutter, in any repos so I made my own kiss package and patch for installation.
Unclutter, specifically unclutter-xfixes, is a program that simply removes the mouse pointer for the screen when not in use. This is quite useful on tiling window managers when the mouse is rarely used.
Link to repo for those interested - kiss-evo
As this is my first public project on GitHub advise/tips are greatly appreciated and should there be any bugs that arise from my patching please submit bug reports. I plan to add more programs as I find them. Thank you
Recently, I have started learning how to use the 'igraph' library in R for creating graph networks. I created an example which shows some sort of "relationship" between groups of people (e.g. personA sells a car to PersonB, PersonB sells a car to PersonC, PersonC cells a car to personB). Eventually, I would like to run graph based clustering on this kind of data (e.g. what is the shortest path between two people, is there a relation between two people, etc.).
Here is the fake data (the numbers correspond to each person's ID) I created and the resulting graph:
library(igraph)
#create first file
x5 <- sample(1:100, 50, replace=T)
#create second file
x4 <- sample(1:100, 50, replace=T)
#combine files
a = cbind(x4,x5)
#convert to data frame
a = data.frame(a)
#convert to factor
a$x4 = as.factor(a$x4)
#convert to factor
a$x5 = as.factor(a$x5)
#convert to matrix
a = as.matrix(a)
#create graph
graph_object = graph_from_edgelist(a)
#plot graph
plot(graph_object)
This is what I had wanted, but I have one problem. In my actual data, there are thousands of people and theirs ID's are several numbers long. This means, when I run the following code on more people with longer ID's, the resulting graph becomes so cluttered and crowded, it becomes impossible to read.
Here is an example that is closer to my situation:
library(igraph)
library(dplyr)
#create file from which to sample from
x5 <- sample(1:1000000000, 2000, replace=T)
#convert to data frame
x5 = as.data.frame(x5)
#create first file (take a random sample from the created file)
a = sample_n(x5, 1000)
#create second file (take a random sample from the created file)
b = sample_n(x5, 1000)
#combine
c = cbind(a,b)
#create dataframe
c = data.frame(c)
#rename column names
colnames(c) <- c("a","b")
#convert to factors
c$a = as.factor(c$a)
c$b = as.factor(c$b)
#convert to matrix
c = as.matrix(c)
#create graph
graph_object = graph_from_edgelist(c)
#plot graph
plot(graph_object)
Is it possible to change the output of this graph so that it becomes easier to read? I started reading about the "forced graph layout", but I am not sure if this will help. I see that there are other network/graph visualization packages in R, such as "visNetwork" - could this be used to unclutter the graph? Is it possible to "hide" the ID's in the output, i.e. the ID is displayed when you move the mouse cursor over the nodes, or appear when you click on the no
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