herd | managed data lake for the cloud

Try introducing two type parameters A and B and then relate them with a generalised type constraint A =:= B

As pointed out by others and me in the comments There are 2 syntax issues

1. Change articles?.name to articles.name in the keyExtractor
2. Destructure the props correctly in DetailScreen from (result) to ({result}) Both these are important for your code to work correctly.

Lastly, I noticed your articles data is an object {} while data in FlatList must be an array []. So please transform the article data you are receiving from the API into an array and it will work. Link to React Native official docs where you will see FlatList only accepts array in the data prop.

Here is the link to codesandbox where you will see I transformed your articles object data into updatedArticles array and passed the updatedArticles into the FlatList and it is rending it correctly.

The error you're encountering occurs at this line - https://github.com/RedisGraph/redisgraph-bulk-loader/blob/master/redisgraph_bulk_loader/entity_file.py#L233 .

At this point, we are trying to retrieve the type specified after the colon in a specific field of a header line. As such, an IndexError indicates that no colon was found in one of the fields.

Looking at relationship.csv, I see that the header row ends with "properties__title","properties__uri","end__labels__002". These columns should have a colon-separated type, like the preceding fields.

For what you need to plot, might be easier to provide the bins to make your histogram:

You have a dynamic model in which the output of each (time) step is input for the next step. It is not possible to do that in parallel. But that does not mean you cannot make the model run faster.

Looping over raster cells in R is always going to be slow, so we need to avoid that. Normally a problem like this could be solved with focal (see code a the bottom) --- but in this case it is difficult because you effectively use two rasters (x and ei) --- I will look at implementing multi-layer focal operations in the terra package.

Here is an approach with getFocalValues. It is much faster (and I use Sys.sleep to slow it down a bit).

Calculate distance from center of each rectangle using pythagorean theorem. I think but haven't tested if I remember right that the center of each rectangle is at d.x + rectWidth/2 and d.y - rectHeight/2. Initialize rectWidth and rectHeight outside of the build function so they are within scope.

Example to get newly infected rectangles at distance less than social_dist from the previously infected:

So I have done it in a different way. I have created a column to mask which rows to keep and to delete. I accessed the target row and checked the similarity with the rows below it.

Try changing both the visible = c(T,F) and the visible = c(F,T) to visible = c(T,T) and see if that helps!

In case it helps anyone later, here is a solution that works. Move the formatting part of the code to the output$Tree step. This fixed the formatting but it then broke the names appearing in each box. This was fixed by wrapping the reactive section in one step.