rio | A Swiss-Army Knife for Data I/O | Data Visualization library

Make it a memo component with MyMemoVideo = React.memo(MyVideo).

Ideally you don’t pass any props to , but if you do, please ensure that those props stay the same over time. This way you got a component that doesn’t re-render after mounted.

After getting the data via:

There is no bug and Delphi returns proper value in PixelsPerInch.

PPI OS will return for the purpose of scaling your application is not the actual PPI value of the actual display device, but virtual pixel density.

For developing applications the PPI value you need is the one that OS gives you, not the actual PPI value of the display device.

Everything you need to know is baseline PPI for the OS and current PPI or the scale factor. Using those numbers you can then calculate number of scaled pixels from some baseline pixel value.

For instance, if your control baseline width is 100 pixels and screen scale is 150% from the baseline PPI then your runtime control size will be 150 pixels.

Different operating systems have different baseline PPI.

Calculation:

There is a configuration setting called ABBREVIATE_NUMBERS that works like a charm (and it needs to be used only when PRETTY_PRINT is true, which is the default value).

The problem is the shapefile is in UTM coordinates and the raster is a world coordinate system (lat/long). Even though you assign the epsg:4326 crs to gdf it's coordinates are still in UTM. You can convert these manually doing something like this.

Otherwise, you can re-projected the world raster into EPSG:21096 (estimation based off UTM zone from the uganda shapefile) using QGIS or you can use gdalwarp.

After changing the projection on the raster the rest of your code worked.

I have such a solution. And I'm surprised myself that I used two loops for!! Incredibly, I did it. First things first.

My proposal is based on a simplification. However, the mistake you will make at short distances will be relatively small. But the time gain is huge!

Well, I propose to count the distance in Cartesian coordinates, not spherical.

So we're going to need a simple function that computes the Cartesian coordinates based on the two arguments latitude and longitude. Here is our LatLong2Cart feature.

I wasn't able to use your example data (please use dput(head(finalTable)) instead of deparse), but here is one potential solution using the data at the beginning of your question:

I suggest you should extract new column from lugar column like below code.

The problem was that throwIO err401 is a single RIO action. But when a servant server has more than one endpoint, each different handler must be composed with the :<|> combinator.

If your API has has many endpoints, it will quickly become annoying to write 401-returning handlers for each and every one. Fortunately, it seems that servant-auth-server provides a throwAll helper function which automatically builds error-returning handlers for an entire API.

Edit: as Ulrich has noted, the problem with throwAll is that it only works with MonadError monads, and RIO is not an instance of MonadError. But it should be possible to modify the typeclass so that it supports RIO.

First, some imports and helper datatypes: