RePress

The problem looks to be with localStorage.removeItem(key, jokesJsonified); removeItem just needs the key and not the value.

Also there is unnecessary rerender on setting jokes array. Make jokes array as ref instead of state.

Here is an working example in codesandbox

Unfortunately a reprex will be to complex so here goes a description of how you can achive a structured df:

I am afraid you have to use pdftools::pdf_data() instead of pdftools::pdf_text().

This way you get a df for each page in a list. In these dfs you get a line for each word on the page and the exact location (plus extensions IRCC). With this at hands you can write a parser to accomplish your task... which will be a bit of work but this is the only way I know to solve this sort of problem.

I found a readr function that helps for your case, since we can assume a fixed lenght (nchar()) for the colum positions:

If you want the bot to remove the reaction from the message after their role has been assigned to them you add something like this to your code in on_raw_reaction_add after you assign the role.

What you are experiencing is called "collapsing margins". Example: If there's an h2 as the first child element inside a div, and the div has no margins, the top margin of the h2 will "go outside the div" at the top - h1, h2 etc. tags have a default margins in practically all browsers (which is a browser setting). To prevent that, you can define all margins for according elements as zero, like I did below with

To the best of my knowledge, bullets (and many other stylistic elements) can only be changed in the header of the slideshow that is knit from the "CSS" and .Rmd ioslides files.

(N.b.: for ease, I'll refer to the "CSS" file as style.html, the .Rmd file first created in RStudio as draft.Rmd, and the final slideshow knit from those two files as slideshow.html. Not that the names of all of these files can be changed by the user.)

My first clue (noted early on and then more or less ignore) was that the "CSS" file is not a cascading style sheet per se. Although by default named "style," the extension is correctly ".html"---not ".css": It's in fact an .html file---although one that contains elements relegated to headers.

ioslides takes the information in the style.html file and integrates it into different parts of the final slideshow file that is creates from the style.html and draft.Rmd file. The formatting elements for the slideshow.html are all in the header of that file. I.e., there is no separate .css file that slideshow.html accesses for styles.

This means that some (arguably many) stylistic elements can be modified within the style.html file but any other elements must be modified within the final slideshow.html.

Of course, changing elements in style.html is easy and allows for quick re-knits to test those changes. It also means that that style.html file can be reused with other .Rmd files for consistent formatting.

Any other stylistic elements must be changed in the slideshow.html that is (re)knit after any changes to either the style.html or 'draft.Rmd` file. This can be a simple search/replace operation, so far from impossible---just less obvious or automated.

Searching through the header generated in the slideshow.html file, I found:

you have to give runtime permission in your java class call this function in oncreate method : requestStoragePermission()

and define the belowmethods outside onCreate

//Requesting permission

I've encountered this before and I think it is just a bug in R studio. Click the button that says clear all plots (the little broomstick) and it should perform as expected with the sample data.

This is how to use seaborn and matplotlib functionality together. You have to create a matplotlib figure first and make all the changes you need. Than call the seaborn function and adding the information about the axes you want to use.

This is a working minimal example.

If you have a lot of upper case data like in your example, you might want to pass the data through a truecaser first. There’s one available in the Stanford NLP package. After that, spacy might have a better shot at picking the names out. On this text: