Ideal | Library for iDEAL payments

How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?

My scenario is:

I am using Azure ServiceBus and Azure StorageTables.

I am running two different instances of the same worker service workera and workerb. I need workera and workerb to both consume messages of type Command based on the value of Command.WorkerPrefix.

the Command type looks like:

I have a dataframe as below:

I ran into less than ideal inlining behavior of the .NET JIT compiler. The following code is stripped of its context, but it demonstrates the problem:

I'm writing a Firebase function (Gist) which

1. Queries a realtime database ref (events) in the following fashion:

   await admin.database().ref('/events_geo').once('value').then(snapshots => {

2. Iterates through all the events

   snapshots.forEach(snapshot => {

3. Events are filtered by a criteria for further processing

4. Several queries are fired off towards realtime DB to get details related to the event

   await database().ref("/ratings").orderByChild('fk_event').equalTo(snapshot.key).once('value').then(snapshots => {

5. Data is prepared for SendGrid and the processing is finished

All of the data processing works perfectly fine but I can't get the outer await (point 1 in my list) to wait for the inner awaits (queries towards realtime DB) and thus when SendGrid should be called the data is empty. The data arrives a little while later. Example output from Firebase function logs can be seen below:

10:54:12.642 AM Function execution started

10:54:13.945 AM There are no emails to be sent in afterEventHostMailGoodRating

10:54:14.048 AM There are no emails to be sent in afterEventHostMailBadRating

10:54:14.052 AM Function execution took 1412 ms, finished with status: 'ok'

10:54:14.148 AM

Super hyggelig aften :)

super oplevelse, ... long string generated

Gist showing the function in question

I'm probably mixing up my async/awaits because of the awaits inside the await. But I don't see how else the code could be written without splitting it out into many atomic pieces but that would still require stitching a bunch of awaits together and make it harder to read.

So, two questions in total. Can this code work and what would be the ideal way to handle this pattern of making further processing on top of data fetched from Realtime DB?

Best regards, Simon

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’d be grateful for suggestions as to how to remap letters in strings in a map-specified way.

Suppose, for instance, I want to change all As to Bs, all Bs to Ds, and all Ds to Fs. If I do it like this, it doesn’t do what I want since it applies the transformations successively:

I am trying to take only the days value from the below interval type column.

To do so, I ran the following query but all it did was round everything to days as shown in the table below:

How do I get the object type so I can directly cast to it? This is the ideal method I would like to execute:

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