Zettelkasten | Zettelkasten developer builds | Wiki library
kandi X-RAY | Zettelkasten Summary
kandi X-RAY | Zettelkasten Summary
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Top functions reviewed by kandi - BETA
- Initialize the listeners
- Set a custom CSS option
- Reset CSS
- Open the custom CSS
- Imports the specified file
- Adds a new bookmark to the bookmark - file
- Extracts list - elements from a string
- This method is called when a data file is added to the data - file
- Initialize the form components
- Implementation of the background thread
- Implements the main entry method
- This method executes the filepath
- Initialize the dialog listeners
- Synchronized
- Initializes the action maps for each key event
- This method is executed in a background thread
- Initialize the components
- Start the search term
- This method executes the file in a background thread
- Execute the auto - back file
- Initialize the form
- This method starts the background thread
- Initiates the action map for each key - value pair
- Opens the main font menu
- Apply changes
- This method executes the file on a background thread
Zettelkasten Key Features
Zettelkasten Examples and Code Snippets
Community Discussions
Trending Discussions on Zettelkasten
QUESTION
The following code looks through 2500 markdown files with a total of 76475 lines, to check each one for the presence of two strings.
...ANSWER
Answered 2022-Feb-14 at 06:16The main bottleneck is the regular expressions you're building.
If we print(f"{r=}") inside the zsearch function:
QUESTION
This code returns 3 random lines from a file. They are returned in a set and I'd like to print them out in a presentable format. How would you do this?
Here is the code.
...ANSWER
Answered 2021-Nov-10 at 04:54Try:
QUESTION
This function renders a modal that shows a login form. As I type, the whole component is re-rendering, and I can only type 1 or 2 letters before it resets. I've never seen this kind of problem before.
I've tried factoring out the "opts" object, in case that was forcing the re-render. It did not change anything.
...ANSWER
Answered 2021-Sep-13 at 00:53Your function LoginWindow() is another component inside function Auth(props:IProps). All your setStates happens in your parent component as you type. In React any change in the Parent component will trigger a re-render of child components.
If you really wanted to keep a separate child component, you had to pass all those set methods you are using in LoginWindow as props. Then you will have to wrap your methods that are passed into your child component in a useCallback so every time your parent re-renders due to the state update your functions will not regenerate as new objects. That's a path you don't need for such a small component I believe.
I don't know why you are using a component inside another component in the wrong way. Why don't you directly return your JSX like,
QUESTION
I started studying programming with Java and face the problem I can't resolve for couple of days. I use JDK-13 and Spring Boot 2.4.4, and when I try to add CRUD Repository in my project and launch the server, I get an error:
...ANSWER
Answered 2021-Mar-20 at 15:36@RestController
@RequestMapping("/note")
public class MainController {
@Autowired
private NoteRepository noteRepo;
@GetMapping("/")
public String mainPaige(Map model) {
Iterable notes = noteRepo.findAll();
model.put("notes", notes);
return "mainPage";
}
...
QUESTION
I am using a Mediawiki site as a personal Zettelkasten. The zettelkasten is basically a collection of notes that should be linked to one another, making a wiki a good place to store one. The linking between the notes is the key feature of the zettelkasten. So for each "note" (i.e., page on my wiki), I need a list of 1) how to get to that page and 2) where you can go from that page. The first part is easy, since I can use the built-in {{Special:Whatlinkshere/{{PAGENAME}}}}. However, I can't figure out how to create a similar list of forward links from each page. Is there a way to do this within mediawiki, or an extension that can do this? What is the best way to gather a list of all (internal) links on a given wiki page?
ANSWER
Answered 2021-Feb-15 at 15:56If you install DynamicPageList3, you can use {{#dpl: linksfrom = {{FULLPAGENAME}} }}.
With Scribunto, you can define Module:Links with inner function:
QUESTION
I have setup a Returnn Transformer Model for NMT, which I want to train with an additional loss for every encoder/decoder attention head h on every decoder layer l (in addition to the vanilla Cross Entropy loss), i.e.:
ANSWER
Answered 2020-Aug-12 at 23:41You are aware that the training is non-deterministic anyway, right? Did you try to rerun each case a couple of times? Also the baseline? Maybe the baseline itself is an outlier.
Also, changing the computation graph, even if this will be a no-op, can also have an effect. Unfortunately it can be sensitive.
You might want to try setting deterministic_train = True in your config. This might make it a bit more deterministic. Maybe you get the same result then in each of your cases. This might make it a bit slower, though.
The order of parameter initialization might be different as well. The order depends on the order of when the layers are created. Maybe compare that in the log. It is always the same random initializer, but would use a different seed offset then, so you would get another initialization.
You could play around by explicitly setting random_seed in the config, and see how much variance you get by that. Maybe all these values are within this range.
For a more in-depth debugging, you could really compare directly the computation graph (in TensorBoard). Maybe there is a difference which you did not notice. Also, maybe make a diff on the log output during net construction, for the case pretrain vs baseline. There should be no diff.
(As this is maybe a mistake, for now only as a side comment: Of course, different RETURNN versions might have some different behavior. So this should be the same.)
Another note: You do not need this tf.reduce_sum in your loss. Actually that might not be such a good idea. Now it will forget about number of frames, and number of seqs. If you just do not use tf.reduce_sum, it should also work, but now you get the correct normalization.
Another note: Instead of your lambda, you can also use loss_scale, which is simpler, and you get the original value in the log.
So basically, you could write it this way:
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