golden | bspwm golden-ratio expansion
kandi X-RAY | golden Summary
kandi X-RAY | golden Summary
bspwm golden-ratio expansion for focused windows, like in the golden-ratio.el plugin for emacs. Whenever you focus a window, this script will increase its size considerably (by about 1.6x). Whatever you're working with gets more real estate on the screen. As you interact with different windows, the active one gets expanded.
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Top functions reviewed by kandi - BETA
- enlarge the node s ratio
- Set ratio of node
- Find a node by ID
- Query the current desktop
golden Key Features
golden Examples and Code Snippets
Community Discussions
Trending Discussions on golden
QUESTION
Hope you are all doing well.
Right now, I created a Tkinter Canvas which displays a resizeable circle object. What I need to do is to print the following parameters on canvas:
Window location (according to the screen of the computer, should be Left and Top)
Center Point of the circle image (according to the window X, Y)
Width and Heigth of the circle image
Here is my code:
...ANSWER
Answered 2021-Jun-14 at 04:23I don't have that golden circle image that you had, so not entirely certain what it's supposed to look like. I know it's a spiral, but I don't know if you're trying to keep it's aspect-ratio during resize.
Also, I couldn't get it to display on the canvas. Don't know why that would be, but I know how to put images on tk.Button
or tk.Label
, so that's what I did for now. Display it however you want, but the main question was how to print out those coordinates, so you'll notice a couple print()
statements that should show what you're looking for.
QUESTION
I have a dataframe like this;
...ANSWER
Answered 2021-Jun-04 at 09:28Compare shifted values for not equal with replace first value to original Column1
by fillna
:
QUESTION
Consider the following code snippet:
...ANSWER
Answered 2021-Jun-06 at 19:38In Pandas, indexing a DataFrame returns a reference to the initial DataFrame. Thus, changing the subset will change the initial DataFrame. Thus, you'd want to use the copy if you want to make sure the initial DataFrame shouldn't change. Consider the following code:
QUESTION
Having created a Windows Azure VM and opened ports 3389 and 22 for inbound RDP and SSH connections, respectively.
I can successfully connect to the vm via RDP from a remote Windows PC. Testing SSH connection in the Portal succeeds. However trying to connect from a remote Linux VM using SSH fails.
Given that SSH connection test within the portal succeeds, it suggests that (1) it is possible to SSH into a windows VM; and (2) there is no other config require on the server ie installing OpenSSH (or similar) / Copying over key file(s) to some location etc. However, the help steps in the Azure Portal for my Windows VM, for making remote SSH connections suggest that maybe a public key needs to exist on the server and that I need the private key on the LinuxVM I am trying to connect from.
Please could someone help me understand if ssh into windows Azure VM is possible and if so, the requirements / minimum set of steps (on the target Windows VM and the source Linux VM) I need to get to a state that I can successfully SSH.
Other posts re similar question posted have not helped me connect via ssh. I have not found a 'golden source of truth' on Microsoft docs. Maybe I missed it.
Thank you.
...ANSWER
Answered 2021-Jun-02 at 01:12A Windows Server doesn’t typically come pre-built and ready to go with SSH access and it requires some setup. You can follow this to set up your Azure VM for SSH access. You can configure SSH on a Windows Azure VM for access, check out How to Set Up OpenSSH on a Windows Server. After deploying the OpenSSH, you can follow the steps about connect via SSH with client in the Azure portal on your Linux client to access that Windows VM via SSH.
QUESTION
Am building a movies App where i have list of posters loaded using TMDB using infinite_scroll_pagination 3.0.1+1 library. First set of data loads good but after scrolling and before loading second set of data i get the following Exception.
...ANSWER
Answered 2021-May-30 at 10:18In Result
object with ID 385687 you have a property backdrop_path
being null. Adjust your Result
object and make the property nullable:
String? backdropPath;
QUESTION
From this tutorial https://github.com/slouc/concurrency-in-scala-with-ce#threading async operations are divided into 3 groups and require significantly different thread pools to run on:
Non-blocking asynchronous operations:
Bounded pool with a very low number of threads (maybe even just one), with a very high priority. These threads will basically just sit idle most of the time and keep polling whether there is a new async IO notification. Time that these threads spend processing a request directly maps into application latency, so it's very important that no other work gets done in this pool apart from receiving notifications and forwarding them to the rest of the application. Bounded pool with a very low number of threads (maybe even just one), with a very high priority. These threads will basically just sit idle most of the time and keep polling whether there is a new async IO notification. Time that these threads spend processing a request directly maps into application latency, so it's very important that no other work gets done in this pool apart from receiving notifications and forwarding them to the rest of the application.
Blocking asynchronous operations:
Unbounded cached pool. Unbounded because blocking operation can (and will) block a thread for some time, and we want to be able to serve other I/O requests in the meantime. Cached because we could run out of memory by creating too many threads, so it’s important to reuse existing threads.
CPU-heavy operations:
Fixed pool in which number of threads equals the number of CPU cores. This is pretty straightforward. Back in the day the "golden rule" was number of threads = number of CPU cores + 1, but "+1" was coming from the fact that one extra thread was always reserved for I/O (as explained above, we now have separate pools for that).
In my Cats Effect application, I use Scala Future-based ReactiveMongo lib to access MongoDB, which does NOT block threads when talking with MongoDB, e.g. performs non-blocking IO.
It needs execution context.
Cats effect provides default execution context IOApp.executionContext
My question is: which execution context should I use for non-blocking io?
IOApp.executionContext
?
But, from IOApp.executionContext
documemntation:
Provides a default ExecutionContext for the app.
The default on top of the JVM is lazily constructed as a fixed thread pool based on the number available of available CPUs (see PoolUtils).
Seems like this execution context falls into 3rd group I listed above - CPU-heavy operations (Fixed pool in which number of threads equals the number of CPU cores.)
,
and it makes me think that IOApp.executionContext is not a good candidate for non-blocking IO.
Am I right and should I create a separate context with a fixed thread pool (1 or 2 threads) for non-blocking IO (so it will fall into the first group I listed above - Non-blocking asynchronous operations: Bounded pool with a very low number of threads (maybe even just one), with a very high priority.
)?
Or is IOApp.executionContext
designed for both CPU-bound and Non-Blocking IO operations?
The function I use to convert Scala Future to F and excepts execution context:
...ANSWER
Answered 2021-May-22 at 13:07In Cats Effect 3, each IOApp
has a Runtime
:
QUESTION
I want to merge these queries with AND logical operator, so I just get the data that fulfilled these 2 conditions
...ANSWER
Answered 2021-May-21 at 09:22From the docs: You can use at most one in
, not-in
, or array-contains-any
clause per query. You can't combine these operators in the same query.
I want to get a document that has sportType Futsal and floorType Grass.
This would be the correct query:
QUESTION
I've integrated Django with Stripe and seems that works ok. However i have a problem by showing all products in stripe checkout page. I need to tell stripe which products we're going to buy. If i have 2 products in cart i see only one product in stripe checkout.
views.py
...ANSWER
Answered 2021-May-17 at 01:42You need to actually add each item to the line_items
array, so you want to do something more like this:
QUESTION
The design
I'm trying to implement a RGB to YUV444 conversion algorithm in hardware based in the next approximation I've got working in a C based program:
...ANSWER
Answered 2021-May-15 at 09:08First things first: check if you're using YUV or YCbCr. Those are often confused and not the same!!! Don't mix them.
Then I see:
QUESTION
Should I include a index.php with //silence is golden to every folder in my plugin? even css, js and images folders? Or is it just folders that contain code/ php files that should have the index.php file in it?
...ANSWER
Answered 2021-May-14 at 12:52This article from InMotion explains why such file exists: Silence is Golden.
Quoting here the relevant parts in case the link goes down in the future:
The entire file is a placeholder. Whenever someone visits a web page, the server attempts to run index.php or index.html. If you take a look at your site directory’s index.php, you’ll see the code that generates a WordPress site.
Without index.php, anyone could just visit your site’s /wp-content folder and see all of the media, files, and directories it contains.
The index.php file functions like a privacy screen: it blocks visitors from directly accessing your directories.
Or you can use below code in your .htaccess file to prevent directory listings even if that index.php file is not present:
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Install golden
You can use golden like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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