combination | Combination algorithm for typo in Arabic | Learning library

I have a Graph loaded in pandas and I want to check if my graph has nodes with reciprocity. My dataset looks like this:

The desired output of my code is the reciprocal nodes: (s01, s03)

I found a solution transforming my dataframe into tuples and comparing each combination of my nodes, but I'm sure this solution is far from ideal. Following is my code:

I am trying to create scatter plots of all the combinations for the columns: insulin, sspg, glucose (mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.

And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.

When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.

I assume that there will be an iwalk() or map2() function at the end and that I might have to use group_by() and nest() and maybe combn(., m=2) for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.

My attempts have amounted to this:

So I have dataframe (result of bad joining I suppose) which looks like this:

And I want to squeeze it such that same column names align having only one column each as in:

It is guaranteed that there will be only one non-nan value for each row and column combination which I checked using a couple of notna() checks. There are infact a large number of columns and a large number of indices. I just posted a sample dataframe for simple problem reproduction. I tried looking at squeeze() and now trying to combine them via splitting and joining but far from an ideal solution

I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name, the ministers position, the prestige of that position, and the year in which the minister had that given position.

My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name and year). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.

I want to create a dataset, where all the rows are unique combinations of name and year. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2 and prestige2. In the example with Bertel Haarder the data should look like this:

(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)

Here's the dataset for creating a reproducible example with observations from 2010-2020:

I'm close but don't have the syntax correct. I'm trying to select all columns of a data table based on selection of unique combinations of two variables (columns) based on the maximum value of a third. MWE of progress thus far. Thx. J

I'm trying to docerize my NodeJS API together with a MySQL image. Before the initial run, I want to run Sequelize migrations and seeds to have the tables up and ready to be served.

Here's my docker-compose.yaml:

Hey to all in the forum

I use JSF Mojarra implementation, version JSF 2.2

I need desperately a help on this.

1. I have a snippet of my page.
2. I have a custom component "example_result.xhtml" used in the page.
3. I have my BackingBean.java Be aware please that this code is not the real code I made. If you run it, it will be very ugly maybe because I deleted all the css classes and I kept only the hot stuff I need to show you my problem.

Everything is inside 1 form.

The 5 "h:selectManyCheckbox" (in my code I have 8 or 9)

In the form I have 5 "h:selectManyCheckbox" which are using values in the "value" attribute for different cases (javaFrameworks2Values, javaFrameworks3Values,...), and the "f:selectItems" use arrays of "SelectItem" (javaFrameworksSelectItems2, javaFrameworksSelectItems3...) created for these different cases, just to make some examples for me to understand how all the selectOne and selectMany components work. The ideas for this, about different cases were taken from these links: "https://stackoverflow.com/tags/selectonemenu/info" and "https://mkyong.com/jsf2/jsf-2-checkboxes-example".

After I have 2 commandButtons

1 for submit, and 1 for reset the values.

Display the values

After I display the results of the values of the "h:selectManyCheckbox" via the "example_result.xhtml".

You can see the 4th "h:selectManyCheckbox" that is the only one different, because it has the attribute "required" with the attribute "requiredMessage". With it there is a "h:message" to display the validation error.

In the BackingBean (which is Spring Bean, but it works perfectly good - sorry I don't want ejbs 3.x), I have initialized:

1. The values of the SelectItems and
2. The values of the "value" attribute, where the values of the "h:selectManyCheckbox" will be stored to be displayed later. [The code is completely castrated, to make it readable snippet].

When the page is rendered, I select checkBoxes (e.g. the 2 last, because the 2 first are initials) from all the "h:selectManyCheckbox". When I say that select from all, I mean it. And from the 4th with the "required" attribute. I try in the buttons (see in the code) the "Effort 1", or "Effort 2", or "Effort 3" (in the "f:ajax" in the buttons) and the result outputs in the last part are displayed and updated like a candy. Without any problem. To achive this with the composite component I googled and tried a lot. But I made it.

Then it comes the time to try the 4th to see the validation error of the "required" attribute.

I select again from all as before, but not from all. NOT from the 4th "h:selectManyCheckbox" this time. I select nothing from the 4th "h:selectManyCheckbox" to ckeck the validator error message ("requiredMessage"). The result is: It displays the message of error (GOOD until now), BUT this time it does not update anything from the others "h:selectManyCheckbox" to the output results at the end, and it does not reset the values as well as it was doing before (when I selected from all and from the 4th as well).

I understand that it says: as long as in the form the 4th failed with validation error, all the other "h:selectManyCheckbox" will not update the output results (something like wanting to fail all the others too).

But what really happes here?

1. It does not give the values to the "h:selectManyCheckbox", to be updated to the output?
2. It gives the vales to the "h:selectManyCheckbox" normally, BUT it just not updates the output?

The other efforts in the "f:ajax" in the buttons, are just efforts maybe to solve the problem but in these cases they don't even display the error message in the 4th case and of cource they don't update the other output results as well (again). But no message error as well.

I don't know if the problem is clear to you. I can explain in the discussion better so I can clarify the situation better. [To be honnet it took me 1 and half hour to write all this thing]

Thanks a lot in advance

========== Snippet from my page ==========

I am trying to learn how python handles multiprocessing and have followed a youtube tutorial for some basic code but I am now trying to implement a ProcessPoolExecuter myself.

I have the following code which is causing the problem:

I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:

I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like: