computed | 小程序自定义组件 computed / watch 扩展

I've built this new ggplot2 geom layer I'm calling geom_triangles (see https://github.com/ctesta01/ggtriangles/) that plots isosceles triangles given aesthetics including x, y, z where z is the height of the triangle and the base of the isosceles triangle has midpoint (x,y) on the graph.

What I want is for the geom_triangles() layer to automatically provide legend components for the height and width of the triangles, but I am not sure how to do that.

I understand based on this reference that I may need to adjust the draw_key argument in the ggproto StatTriangles object, but I'm not sure how I would do that and can't seem to find examples online of how to do it. I've been looking at the source code in ggplot2 for the draw_key functions, but I'm not sure how I would introduce multiple legend components (one for each of height and width) in a single draw_key argument in the StatTriangles ggproto.

I would like to be able to robustly stop a video when the video arrives on some specified frames in order to do oral presentations based on videos made with Blender, Manim...

I'm aware of this question, but the problem is that the video does not stops exactly at the good frame. Sometimes it continues forward for one frame and when I force it to come back to the initial frame we see the video going backward, which is weird. Even worse, if the next frame is completely different (different background...) this will be very visible.

To illustrate my issues, I created a demo project here (just click "next" and see that when the video stops, sometimes it goes backward). The full code is here.

The important part of the code I'm using is:

After updating my npm packages, some of the imports from the 'vue' module started showing errors:

TS2305: Module '"../../node_modules/vue/dist/vue"' has no exported member 'X'

where X is nextTick, onMounted, ref, watch etc. When serving the project, Vue says it's "failed to compile". WebStorm actually recognizes the exports, suggests them and shows types, but the error is shown regardless. Some exports like computed and defineComponent work just fine.

What I've tried:

• Rollback to the previously used Vue version "3.2.2" > "3.0.11". It makes the abovementioned type errors disappear, but the app stops working entirely, showing lots of TypeError: Object(...) is not a function errors in console and not rendering the app at all. In the terminal, some new warnings are introduced: "export 'X' (imported as '_X') was not found in 'vue' where X is createElementBlock, createElementVNode, normalizeClass and normalizeStyle.
• Rollback other dependencies. None of the ones that I tried helped fix the problem, unfortunately.
• Manually declare the entirety of 'vue' module. We can declare the 'vue' module exports in shims-vue.d.ts, and it actually makes the errors disappear, however, this seems like a terrible, time-consuming workaround, so I would opt out for a better solution if possible.

My full list of dependencies:

I need to group rows in a dataset based on a rowwise comparison or matching of four different variables in a way that it can be computed fast. The dataset has the following shape:

Specifically, I would like to group those rows that share the same value in either start<>end, end<>start, start<>start, or end<>end and have a matching value (>0) in the related start_sep and end_sep column. start_sep and end_sep are basically an additional check if the first match is correct. Groups usually contain matches of two rows, but can be of any number in size if a rows start and end matches more than one. Matches are always unique, so there won't be a matching conflict of two rows with the same matching start and end combination.

Here is a little illustration of potential match combinations in the columns 'start' and 'end':

For the example above, the expected result would be:

In this sense matches can occure within a row

I can do this with a slow for loop and a set of conditions, ie., selecting a row (if group_id is NA) finding all matches (based on conditions describing possible match combinations) and asign group_id. But since my dataset has 1 million plus rows, this is a very slow process. See below an example for a single case example below:

I'm currently creating a vue3 cli app that uses vue-leaflet (the vue3 compatible version)

Everything works great on my local dev environment but once my app is built the map doesn't load, even when I resize like this thread explains well.

I tried using the leafletObject.invalidateSize() method but nothing changed.

My map is a component called using a v-if on first call (switch between a list view and the map) and a v-show once it has been initialized

There are smallserial, serial and bigserial numeric data types in PostgreSQL, which have obvious limits to 32767, 2147483647 and 9223372036854775807 respectively.

But what about GENERATED { ALWAYS | BY DEFAULT } AS IDENTITY, does it have any restrictions? Or maybe they are computed according to the provided data type (SMALLINT, INT, BIGINT)?

I have a Blazor client/server app that I have been working on for a period and it has been working fine up to now. I suddenly started getting this error

Failed to find a valid digest in the 'integrity' attribute for resource 'https://mydomain.no/_framework/Faso.Blazor.SpinKit.dll' with computed SHA-256 integrity '1UEuhA1KzEN0bQcoU0m1eL4WKcCIWHhPgoXydAJnO9w='. The resource has been blocked.

Failed to find a valid digest in the 'integrity' attribute for resource

I have tried to clean and rebuild. I have tried to add Cors, set folder permission, and many other suggested solutions, but to no avail. I am using web deploy in VS 2022 and Win Server 2016, .net core 5.0.

Any suggestions would be appreciated.

I am training 2 autoencoders with 2 separate input paths jointly and I would like to randomly set one of the input paths to zero.

I use tensorflow with keras backend (functional API).

I am computing a joint loss (sum of two losses) for backpropagation.

A -> A' & B ->B'

loss => l2(A,A')+l2(B,B')

networks taking A and B are connected in latent space. I would like to randomly set A or B to zero and compute the loss only on the corresponding path, meaning if input path A is set to zero loss be computed only by using outputs of only path B and vice versa; e.g.:

0 -> A' & B ->B'

loss: l2(B,B')

How do I randomly set input path to zero? How do I write a callback which does this?

I am trying to find a more efficient solution to a combinatorics problem than the solution I have already found.

Suppose I have a set of N objects (indexed 0..N-1) and wish to consider each subset of size K (0<=K<=N). There are S=C(N,K) (i.e., "N choose K") such subsets. I wish to map (or "encode") each such subset to a unique integer in the range 0..S-1.

Using N=7 (i.e., indexes are 0..6) and K=4 (S=35) as an example, the following mapping is the goal:
0 1 2 3 --> 0
0 1 2 4 --> 1
...
2 4 5 6 --> 33
3 4 5 6 --> 34

N and K were chosen small for the purposes of illustration. However, in my actual application, C(N,K) is far too large to obtain these mappings from a lookup table. They must be computed on-the-fly.

In the code that follows, combinations_table is a pre-computed two-dimensional array for fast lookup of C(N,K) values.

All code given is compliant with the C++14 standard.

If the objects in a subset are ordered by increasing order of their indexes, the following code will compute that subset's encoding: