evolution | sandbox game/simulator that demonstrates machine learning | Machine Learning library

I recently saw that Swift had introduced concurrency support with the Actor model in Swift 5.5. This model enables safe concurrent code to avoid data races when we have a shared, mutable state.

I want to avoid main thread data races in my app's UI. For this, I am wrapping DispatchQueue.main.async at the call site wherever I set a UIImageView.image property or a UIButton style.

Here is the project.

It should show an interactive grid on screen, with some buttons and an explanation on how to best interact with the system, but I suppose I have done something wrong. It works on my local environment.

JS:

Can anyone tell me what is wrong with this code? It is from https://jakevdp.github.io/blog/2012/09/05/quantum-python/ . Everything in it worked out except the title of the plot.I can't figure it out.

It should look like this

but when the code is run, it polts this

Here is the code given:-

I am working on a simple canvas with Chart.js (version 3.x) that simply displays an evolution of price. The X axis is used for the time and the Y axis for the percentage of evolution. I have managed to do this but now, I would like to add a bit of style.

My objective is to add some space between the mark ticks and the X axis.

I have used the chart.js styling documentation to help me, but I did not found anything that worked how I want.

Here is the result that I have and the associated code :

I'm trying to follow the Logging in Python Tutorial in PyCharm Professional.

I'm using a Virtualenv environment with Python 3.9.5 in this tutorial. Everything works fine, but when I press "Check" button in the Task Description panel, I get this error:

Failed to launch checking. For more information, see the Troubleshooting guide.

But when I switch to Run panel, all tests are passed with these outputs:

I'm stuck since a couple days and tried most of the answer given to similar questions on this site.

Before starting I'd like to point out that I am working via ssh and can only edit the code via nano (not my choice...)

My problem is the following:

I am using MariaDB to store the raspberry pi CPU temperature along a camera temperature to plot the temperature evolution. I have an error when trying to insert the values in the data base.

I have the following table in cpu_tempDB

Let's say I have a pytorch-model describing the evolution of some multidimensional system based on its own state x and an external actuator u. So x_(t+1) = f(x_t, u_t) with f being the artificial neural network from pytorch.

Now i want to solve a dynamic optimization problem to find an optimal sequence of u-values to minimize an objective that depends on x. Something like this:

min sum over all timesteps phi(x_t)

s.t.: x_(t+1) = f(x_t, u_t)

Additionally I also have some upper and lower bounds on some of the variables in x.

Is there an easy way to do this using a dynamic optimization toolbox like pyomo or gekko?

I already wrote some code that transforms a feedforward neural network to a numpy-function which can then be passed as a constraint to pyomo. The problem with this approach is, that it requires significant reprogramming-effort every time the structure of the neural network changes, so quick testing becomes difficult. Also integration of recurrent neural networks gets difficult because hidden cell states would have to be added as additional variables to the optimization problem.

I think a good solution could be to do the function evaluations and gradient calculations in torch and somehow pass the results to the dynamic optimizer. I'm just not sure how to do this.

Thanks a lot for your help!

I am trying to return the array of all the intersected array elements.

I got 2 arrays.

The array from api and the filter condition array.

Array from api is this

enter image description hereI want to click the button called "바카라 멀티플레이" which locates center of the site. I switched into iframe, however it seems to be not detecting the button. How can I?