rapier | 2D and 3D physics engines focused on performance
kandi X-RAY | rapier Summary
kandi X-RAY | rapier Summary
Rapier is a set of 2D and 3D physics engines for games, animation, and robotics. These crates are rapier2d, rapier3d, rapier2d-f64, and rapier3d-f64. They are written with the Rust programming language, by the Dimforge organization. It is forever free and open-source!.
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QUESTION
I am trying to make a discord.py bot that plays a game. So far I have gotten it to make one file for the whole system, although I want different ones for each user. I have been using pickle and I haven't been seeing a way to do this anywhere. I have been having a hard time making stuff that is specific to a user so that's also a problem. If there isn't any way to do this let me know. Here is my code so far:
...ANSWER
Answered 2020-Nov-30 at 11:39I am also making a game for my discord bot. For this, I use dictionaries stored in files named after the users' IDs, since they're really easy to access via ctx.author.id
and will never change. When a user activates a command, I unpickle the file named f"{ctx.author.id}.dat"
and assign the dictionary that was stored inside to a variable. I can then modify the dictionary values by accessing them via their keys and can pickle the dictionary again after I'm done.
Using this method, I can also easily check if a user does not have an assigned save file yet using os.path.isfile(f"{ctx.author.id}.dat")
and can pickle a template dictionary into their file.
Also, time.sleep()
should not be used together with asynchronous code.
QUESTION
I made a code to tell me for a rpg game, how many player are using a specific class (so i check first hand, sword, and second hand, sword too, and it should tell me the name and level of any player above level 100 with a sword in both hands, here is the code :
...ANSWER
Answered 2020-Oct-17 at 20:44You want to check if groups of items
that belong to a given character satisfy the conditions, which suggests aggregation:
QUESTION
I am quite new in React and i'm trying to make a simple clicker game. For now everything is working well (in my opinion) but i think the code it very repetitive (I use a lot of setState). Can someone tell me how to make it more clean and deal with state? I don't ask you to refactor this code for me just for advice how to do it. Thanks for any advices.
Here's my code:
...ANSWER
Answered 2020-Mar-15 at 03:13Not much to factor. But I can say that all your state updates can be merged. You can update multiple state values at once.
QUESTION
I've got this complex object
...ANSWER
Answered 2020-Feb-01 at 08:23This is happening because there are only two valid keys for classes
, but string could be literally any string.
Maybe try changing your function signature to;
QUESTION
You are given 3 well known Polish Books and based on some fragment of text you have to decide whether it's the first one, second or third. Your points are measured by some formula and to achieve 100 points you need to get accuracy greater than 90%.
My solution to solve this problem was to map the most common words and based on that answer, for that solution I've got 70 points but still, I don't know how to approach this problem. Your code may be in Python or C++, you are given 3 books and program to test your solution Inputs are separated with different lengths based on sentences or some amount of words. You are also sure you will not get half-word. Problem statement (only in Polish currently). You can also submit your code there. How can I approach this problem differentlt to get 100 points, are there some Data Sciece algorithms which will help me with that problem.
...ANSWER
Answered 2020-Jan-25 at 18:20For non-polish readers: you are given those books only when preparing your solution, you won't have access to them during test. If you try to bundle them with binary somehow those would exceed 10kb
limit hence you need to compress information somehow.
I would go for Naive Bayes
classifier by default for a simple solution .
Due to time constraint I would go a little bit different route though.
Data preparationRead all files in and tokenize them. Would be easiest with Python's split
functionality (and whole program would be easiest, time constraint probably won't be a problem). Split on whitespace and punctuation as those are mostly noise and are not representative of texts.
Now calculate how often each of the tokens (words) occurs in each text, e.g. dog
occured 15
times in first text and 3
times in another. Save those in three separate dictionaries, if the size of dict
exceeds 10kb
remove words occurring least frequently and adjust accordingly.
Use 3 unsigned long
variables to keep results for each texts to keep overflow in check (it should be enough).
For every input text split it just like above.
For every word check in dictionaries how often those occured for each text and add this to one of 3
result variables. If it doesn't exist just add 0
.
Finally return text which gathered "most points" this way. This should get quite a good score.
Better solutionNaive Bayes with probabilities would work much better but given competition constraints I don't think it is a viable solution.
To do it, you would have to calculate probability of each word for each text and use log
operstions during summation to avoid aforementioned overflow, just throwing it out for you to consider, doable but probably overkill.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install rapier
Read the user-guides.
Play with the examples: cargo run --release --bin all_examples2 and cargo run --release --bin all_examples3. Their source code are available on the examples2d/ and examples3d/ directory.
Don't hesitate to ask for help on Discord, or by opening an issue on GitHub.
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