duda | high performant web services framework | REST library

I've problem with matplotlib.pyplot.scatter.

Firstly, I need to download the data on Iris classification and paste headlines.

I would like you to support me by guiding me with the possible solution to the following problem:

I require that the video when I scroll-And the video goes from 0% to 100% as the scroll is made, my problem is that when I do it the parent box is made to the size of the video, completely disappearing the content, here the example:

I am making a frequent questions section and I added an arrow which I wanted to flip when the question is clicked and the answer showed.

I notice if I want for the element to be find with the e.currentTarget.children when clicked it most be immediate after the class clicked and I am having a hard time doing in it.

Any help is more than welcome!

This is my code:

HTML:

I have been dealing with this particular situation. I have a form in which the user can put some data and save it. He can do that several times creating a record of similar items. The app creates a string with this data and saves it in the localStorage. The user is able to retrieve the data on a page created with an accordion system where he can see it separately just as he typed before. Now I need to get some data from the LocalStorage to show it in a page which is out of the DOM of the app.

This is the js controller code where I want to show the data:

Hi I'm trying to implement tANS in a compute shader, but I am confused about the size of the state set. Also apologies but my account is too new to embed pictures of latex formatted equations.

Imagine we have a symbol frame S comprised of symbols s₁ to sₙ:

S = {s₁, s₂, s₁, s₂, ..., sₙ}

|S| = 2ᵏ

and the probability of each symbol is

pₛₙ = frequency(sₙ) / |S|

∑ pₛ₁ + pₛ₂ + ... pₛₙ = 1

According to Jarek Duda's slides (which can be found here) the first step in constructing the encoding function is to calculate the number of states L:

L = |S|

so that we can create a set of states

𝕃 = {L, ..., 2L - 1}

from which we can construct the encoding table from. In our example, this is simple L = |S| = 2^k. However, we don't want L to necessarily equal |S| because |S| could be enormous, and constructing an encoding table corresponding to size |S| would be counterproductive to compression. Jarek's solution is to create a quantization function so that we can choose an

L : L < |S|

which approximates the symbol probabilities

Lₛ / L ≈ pₛₙ

However as L decreases, the quality of the compression decreases, so I have two questions:

1. How small can we make L while still achieving compression?
2. What is a "good" way of determining the size of L for a given |S|?

In Jarek's ANS toolkit he uses the depth of a Huffman tree created from S to get the size of L, but this seems like a lot of work when we already know the upper bound of L (|S|; as I understand it when L = |S| we are at the Shannon entropy; thus making L > |S| would not increase compression). Instead it seems like it would be faster to choose an L that is both less than |S| and above some minimum L. A "good" size of L therefore would achieve some amount of compression, but more importantly would be easy to calculate. However we would need to determine the minimum L. Based on the pictures of sample ANS tables it seems like the minimum size of L could be the frequency of the most probable symbol, but I don't know enough about ANS to confirm this.

Return top 20% highest value in a column into 1 and make the rest of the numbers 0

DF

Code example:

Grettings !

I have a conventional function and I'm returning a span with a prop(if I'm not wrong). On my ts code I have this error

Error image

Here's my code.The file name is qCard.tsx

I want to learn how to use React.FC<> in normal functions on react.js.

I know there are two type of functions; the first is (the one that I prefer):