canopy | A generic Tree API in Elm | Dataset library

I am working with rTerra and having an issue with the CONUS historical disturbance dataset from LANDFIRE found here:https://landfire.gov/version_download.php (HDist is the name). To summarize what I want to do, I want to take this dataset, crop and project to my extent, then take the values of the cells and separate them as layers. So I want a layer for severity, one for disturbance type, etc. The historical disturbance data has these things all in one attribute table. In terra, this attribute table is set up under categories and this is providing a lot of problems. I have not had issues with the crop nor reproject, it is getting into the values and separating the categories into layers. I have the following code

I'm trying to set this condition in a form:

If the #Size (from a dropdown selection) = 'extra-cab' AND a radio select button called 'canopy-14x-select' (from a group of radio buttons called 'Canopy') are both selected, then the checkbox with a class called .rack-kit is deselected.

I'm not sure how to nest these into each other, I've attempted it below but it isn't working.

Any help would be much appreciated.

I am currently writing a query and I ran explain to check the query cost and time taken to run it. I observed that the cost is too high after I ran explain. Please find the below query.

I am planning to add a filtering feature to my website blogs. For this, each blog post will be associated with a keyword. Selecting these keywords will show/filter all the blogs associated with that specific keyword category.

In the code below, I have separated my blogs into 3 categories (Forest, Birds and Sea). However, I also want some of the blogs to be associated with multiple keywords (two or three), see the 'Forest Birds' section in the snippet below. If someone can help me with how to do it, that would be great.

So I'm trying to make function for preprocessing dataaset in semantic segmentation. but it tells me that my function is not define. Whereas is actually define on there. my code is like this

I have a list in R containing values of leaf area by layer by month, like this

I have a SpriteKit platformer that uses a tile map for a background. The background in question is positioned 1 screen-height above the main content (it's positioned off-screen), acting as a forest canopy above the player. I accomplish that programmatically, like this:

I'm astonished by the recurrent problem of size vector cannot be allocated in geom_raster function. This problem happens with small data set and in my case 1559 observations. I try to do:

Can someone help me figure out why the same simple calculation gets different answers in python 2 and 3? The expression is ​(0.2**(-2)-1)**(1/2).

When I use python 2 in a Canopy IDE, I get 1.

When I use python 3 in google colab, I get 4.98.

In both cases I am literally running exactly the above expression. Any ideas?