Enzo | contains custom controls for JavaFX

Hello I have a counter who works perfectly formatted like DD HH mm ss but I don't successed to transform in YY MM DD HH

Here is the working format

Python 3.9.6

I have been trying to figure out on how I am able to print the key and value when I have given variable that I want to specific get from a NamedTuple.

I have created my own NamedTuple that I import via configuration that reads TOML file which can be read below:

Consider the following class hierarchy:

I have a list of tuples, each containing two integers followed by a string. I would like to filter out substrings from this list but base it on the first two integers of the tuple and not the string itself.

For example

I got a class Car that has an attribute called parts. This attribute is a list that will be filled in the process of my program. parts will contain a list other type of objects, like Engine, Battery, Wheels and so on, that have their own attributes but does not inherits from the Car. After I will build my Car object instance and fill its parts with all necessary objects, I would like convert it to dictionaries (easy to search and for comparison) and further to JSON. I found out how __dict__() works for custom objects and this makes it very quick and elastic without defining it in the Car class. But the __dict__ does not recursively creates dictionary for the objects inside the attribute parts.

How should I approach this problem? Should I define my own __dict__() method in class Car or there is another way, that will keep my classes elastic?

SOLUTION:

I have moved forward thanks to @enzo. He didn't put the right answer cause he didn't assumed, that the parts attribute of Car class is a list of parts. And sometimes, Car can have other attribute that is a list hat does not have __dict__ attribute. So there needs to be more checks.

Below my code. cars is a list of all Car objects, cars_to_dict will keep my current "snapshoot" of my cars list:

I'm plotting carbon monoxide data, with my x value as a date and my y value as an arithmetic mean.

I've sliced the dataframe up to just show me a single city (Los Angeles)

The x values and y values were objects so I turned the date into datetime and the mean into a float.

I can get it to graph something but what I want is to highlight March and April either by highlighting the back or changing the color of the lines themselves at those months. When I try to do it though each one comes back to me with a tuple error and I'm not understanding why.

Code:

I have a very basic List Array of Strings scanned from a .txt file that I passed onto a insertionSort method to have it sorted Alphabetically but it seems to only sort the last 2 or 3 pairs of names towards the end of the Array List. I feel like it may be my while loop in the insertionSort method that is causing this using the compareTo() method to swap indices of Strings stored in the array.

I'm trying to perform an action over a 4-dimensional array. This array ends up being incredibly big, but is necessary for the data that i'm processing. Now the process itself goes swell, but i want to make it ready for parallel computing. I've got access to a 96-core mainframe and i want to use it.

So far i've read online that the easiest way to get this done is by using mclapply(), the parallelized version of lapply(). I know the basics of how lapply() works, but i can't quite figure out how to apply it in this situation.

I have a 4-dimensional array that's filled with NAs. Each dimension has dimnames. I want to compare the dimnames of dimension 1 with dimension 3 and dimension 2 with dimension 4 (this is done by a custom function that i wrote). If they all match up, a number comes out and i want that number to be entered into xy[i, k, j, l] where the letters i-l represent the indices for one entry.

In the example below i have simplified it into an addition of the nchar() values for the dimnames.

I have launched, in astrophysics context, a large simulation (enzo code) with MPI execution on 128 cores, like this :