panels | a jQuery library for off canvas elements | Canvas library

From the docs:

In order to have an access to this.$store property in your Vue components, you need to provide the created store to Vue instance.

Vuex has a mechanism to "inject" the store into all child components from the root component with the store option.

So, in your example this will be here:

I think this could be because you're not modifying the array immutably. Every time you modify an array or an object, modify it immutably so change detection is aware that the value of the array changed. To modify immutably, we have to change the address of the array in memory.

Try:

The only way I managed to get the above code to work consistently across all browsers was to change the for loop to.

I'm compiling with GL_GLEXT_PROTOTYPES=1.

Well, don't do that. That is never going to work in a portable way. On windows, the opengl32.dll always exports only the functions which are in OpenGL 1.1, and for everything beyond that, you have to rely to the OpenGL extension loading mechanism at runtime.

I have tried:

• [...]
• Adding GLEW

That's a step in the right direction. But this does not make things to magically work. A GL loader like GLEW typically brings its own header as a replacement for GL.h and glext.h etc., and the typical GL loader (like GLEW) simply re-define every GL functions as a macro, like this:

I fixed this by adding

display.setPanelsWidth(2);

display.setMuxPattern(SHIFTREG_ABC_BIN_DE);

because my led is combined by 2 matrix 32x16.

Update:

I didn't find any way to get the number of rows through an API endpoint from Grafana, however, what I did was, I copied the Elasticsearch query that the Grafana dashboard made for the given panel in the dashboard [You can copy the query either by using Networks tab on Chrome, or, you can simply follow this:

• Get to this dropdown for panel:
• Press "Inspect"
• Click on "Query" tab here:
• There you will see the Query, copy it and use it in the Elasticsearch Query API, and you will get your desired JSON response ]

, and counted the number of "buckets" that are at the deepest level (say, you have used 4 group-by, example:

then the deepest bucket would be at level 4), and calculated the number of such Buckets which have keys, and that gives me the number of rows in the table panel.

This is a simple python code I wrote for the same:

I Java a JDBC driver can be loaded automatically from classpath, that is why it still works.

I think there is a line in your Groovy teardown script that looks like this:

This is due to the distinction between Page instances (which just contain the data common to all page types, such as title) and instances of your specific TimelinePage subclass (which provides access to all the methods, fields and relations defined on that class).

self.get_children() returns a queryset of type Page; this is necessary because the query doesn't know in advance what page types will be included in the results. .type(TimelinePage) filters this to just pages of the given type, but this only acts as a filter on the existing queryset - the results will still remain as Page objects, which are missing the timeline_entries relation.

If you rewrite the line

This could be achieved via e.g. patchwork:

1. For the axis labels you could make a named vector of labels which you can then pass to the axis via scale_x_discrete(labels = ...)
2. Remove the axis from your first plot.
3. I also removed the plot.margins from the single plots
4. Glue the plots together using patchwork
5. To make sure that the legends get merged make use of plot_layout(guides = 'collect') and make sure that the legends are identical (!!), i.e. identical names, labels, .... For this reason I removed the data frame labels and simply called them 1 and 2 for both plots and set the labels via scale_fill_discrete