groups | Groups provides group-based user membership management | Collaboration library

I'm trying to understand how parallelization works in Durable Function. I have a durable function with the following code:

I have this code which prints multiple tables

I am trying to convert a String into proper JSON notation. This string, got some correct indexes (with [idx]), and some incorrect indexes (with dot notation .idx. with these last ones starting by 1, instead of by 0). Is there anyway to "handle" captured groups using python re library or similar?

This is what I have:

The following code does everything I want: pulls email, saves attachments, extracts files EXCEPT save the original email to the folder fDest. I seem unable to see the solution.

This seems to be the problematic line as it won't save the email: "mi.SaveAs fDest2, olMSG"

I have a text file called listofhotelguests.txt where hotelguests are stored line by line with their first names separated by && as a delimiter. Can someone explain how I can have my Python program read it so it associates john with doe, ronald with macdonald, and george with washington?

My expected outcome I'm hoping for is if I prompt the user for their lastname to make sure their a valid guest on the list, the program will check it against what it has in the file for whatever the firstname they entered earlier was.

So if someone enters george as their first name, the program retrieves the line where it has george&&washington, prompts the user to enter their lastname and if it doesn't match what it has, either say it matches or doesn't. I can figure the rest out later myself.

Assuming there is nobody with the same names.

I know I have to split the lines with &&, and somehow store what's before && as something like name1 and whats after && as name2? Or could I do something where if the firstname and lastname are on the same line it returns name1 and password1?

Not sure on what to do. Python is one of my newer languages, and I'm the only CS student in my family and friend groups, so I couldn't ask anybody else for help. Got nowhere by myself.

Even just pointing me in the direction of what I need to study would help immensely.

Thanks

Here's what the text file looks like:

A typical way to use group_by and then nest is to estimate a series of models--

I have a list (dput() below) that has 4 datasets.I also have a variable called 'u' with 4 characters. I have made a video here which explains what I want and a spreadsheet is here.

The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.

Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)

I have a dataframe with several groups and a different number of observations per group. I would like to create a new dataframe with no more than n observations per group. Specifically, for the groups that have a largen number I would like to select the n last observations. An example data set:

message = ""

Validation failed for classes [com.PointsSystem.entity.Membership] during persist time for groups [javax.validation.groups.Default, ]\nList of constraint violations:[\n\tConstraintViolationImpl{interpolatedMessage='请输入正确的手机号(11位)', propertyPath=cellPhone, rootBeanClass=class com.PointsSystem.entity.Membership, messageTemplate='请输入正确的手机号(11位)'}\n\tConstraintViolationImpl{interpolatedMessage='lastName 不能为空', propertyPath=lastName, rootBeanClass=class com.PointsSystem.entity.Membership, messageTemplate='lastName 不能为空'}\n]

""

I do not want to print this message on my web app, I need to get the key word "interpolatedMessage" which contains Chinese characters. How can I do that? This message was get when i use e.getMessage, e ment a Exception