inverted | cosine distance , tf-idf ranking | Natural Language Processing library

Is there any way in Python to invert a list or a tuple in just one expression, without doing, for example:

I have a Sidenav component that takes in props. These props are then being used to render the custom sidenav for the page it's used on. Everything works, but when clicking on one of the links in the browser, this warning pops up:

It still redirects to the correct page and the page shows up, but the warning shows in the console every time one of the links is clicked. What have i done wrong? Here is my component code:

The situation is that I have a website with mutiple full-width content containers, stacked on the height axis (Y). Every second one of these is blue and every other second one of these is red. I want to show an SVG image or a button fixed in the top-left corner (that scrolls down with the user). The fill color of this element should be dynamically inverted to the underlying content containers background color. When the fixed element is hovering over two content containers at the same time its fill color must be split up accordingly.

When the user scrolls down, the fixed element (Circle in the image below this text) should adjust its fill color according to the background elements below. When the circle is fully over the red content container, it should be blue. When the circle is fully over the blue content container, it should be red. When it is over two content containers, it should split its fill color.

The idea was to have a fixed element with position:fixed for every content container and to limit its "visibility" with overflow-y:hidden on the content container, but as position:fixed attaches the elements viewport to the window/body, this solution does not seem to work.

The next idea was to use position:sticky. The fixed element successfully stopped at its content containers bottom line but exceeded it a bit and didn't have the sharp cut effect of hiding beyond the bottom line.

Another idea was to use the z-index property but as it is only one-dimensional, I believe it can't serve the purpose.

Below blue circle should adjust accordingly:

My question relates to the minting process to create an NTF.

I might be wrong but the tokenization function can be compared to an hashing function which takes as input the media and outputs the token.

Yeah this actually already is a question, cause otherwise the main question maybe does not makes sense.

Assuming the comparison to an hash function makes sense and forgetting about collisions let's assume the following scenario: I create a digital artwork and the related NFT. It's published and sells somehow (hopefully :D).

Imagine Mr.XYZW is a well known digital artist who gets huge revenues from NFT, he sees my artwork, somehow he likes it but also thinks the artwork would look better if for example the colors simply get inverted. Here I'm just mentioning one of all the possible changes he could do, the point is that easily those changes could not even be noticeable to the human eye, but not to the tokenizer, which would in the end clearly create a different token.

Now the problem should be clear.

If what I said makes sense, how is it usually tackled? in case it doesn’t, please help me to understand.

Thank you

I am trying to predict credit card approvals using the relevant dataset from UCI ML Repo. The problem is that the target encodes the applications for credit cards as '+' for approved and '-' for rejected.

As there are a bit more rejected applications in the target, all scorers, estimators are treating the rejected class as positive while it should be otherwise. Because of this, my confusion matrix is all messed up because I think all True Positives and True Negatives, False Positives and False Negatives get inverted:

How can I specify the positive class manually?

I would like to use more detailed db for geoparsing.

when I run the script:

I'm trying to build an inverted index search by using Hadoop Map Reduce, given as input text files, and trying to achieve the following output: word: (file#1, line#1, line#2, ….) (file#4, line#1, line#2,…) …)

I am trying to make a little code that based on tuples, lists and dictionaries. I have the code below but I has the following errors:

1. It only takes the values of "discount and store_product" but I need it to also consider the discount. 2. When it prints, It prints in the following form.

{'1': 'Tango', '2': 'Ice cream', '3': 'Gum rolls', '4': 'Wet Napkins', '5': 'Catfood', '6': 'DoogFood'} ['none', 'none', 'none', '10%', '5%', '5%']

{'T': ['1'], 'a': ['1', '2', '4', '5'], 'n': ['1', '4'], 'g': ['1', '6'], 'o': ['1', '3', '5', '5', '6', '6', '6', '6'], 'I': ['2'], 'c': ['2', '2'], 'e': ['2', '2', '4'], ' ': ['2', '3', '4'], 'r': ['2', '3'], 'm': ['2', '3'], 'G': ['3'], 'u': ['3'], 'l': ['3', '3'], 's': ['3', '4'], 'W': ['4'], 't': ['4', '5'], 'N': ['4'], 'p': ['4'], 'k': ['4'], 'i': ['4'], 'C': ['5'], 'f': ['5'], 'd': ['5', '6'], 'D': ['6'], 'F': ['6']}

3. IGNORE THE INVERT PORTION OF THE CODE. I am experimenting with that part of python but if you have any recommendations to make it better, I want to hear it.

I want the code to print like this.

In JavaScript, if you type