bookkeeper | A double-entry bookkeeping system developed for use

When a function uses context.putState(id, object), is the saved object forever saved in the bookkeeper until an explicit deleteState(same id) is called?

Is there some point in time, some action of any kind, or some event which cleans up the used state storage space, besides calling deleteState? Like for example, if a function is deleted, does the bookkeeper still keep the function's state objects persisted, or are they erased as well?

I'm trying to implement a simple Apache Pulsar Function and access the State API in LocalRunner mode, but it's not working.

pom.xml snippet

I'm using Pulsar for communication between services and I'm experiencing flakiness in a quite simple test of producers and consumers.

In JUnit 4 test, I spin up (my own wrappers around) a ZooKeeper server, a BookKeeper bookie, and a PulsarService; the configurations should be quite standard.

The test can be summarized in the following steps:

1. build a producer;
2. build a consumer (say, a reader of a Pulsar topic);
3. check the message backlog (using precise backlog);
   • this is done by getting the current subscription via PulsarAdmin#topics#getStats#subscriptions
   • I expect it to be 0, as nothing was sent on the topic, but sometimes it is 1, but this seems another problem...
4. build a new producer and synchronously send a message onto the topic;
5. build a new consumer and read the messages on the topic;
   • I expect a backlog of one message, and I actually read one
6. build a new producer and synchronously send four messages;
7. fetch again the messages, using the messageID read at step 5 as start message ID;
   • I expect a backlog of four messages here, and most of the time this value is correct, but running the test about ten times I consistently get 2 or 5

I tried debugging the test, but I cannot figure out where those values come from; did I misunderstand something?

I am trying to make a DataFrame out of this JSON, It contains three keys which are Header, Column and Rows. The problem is that the Rows contains a lot of Nesting and even the panda's json_normalize is unable to create a meaningful DataFrame out of this.

Here is the Json:

Hello how are you? I have a challenge https://www.codewars.com/kata/53e57dada0cb0400ba000688/solutions/python and I've stuck on it for a 2 days, I created the first solution but it was slow(using itertools.permutations), and then I've make this block of code.

I want to scrape the Athletic Director's information from this page. but the issue is that there is a strong tag that refers to the name and email of every person on the page. I only want an XPath that specifically extracts the exact name and email of the Athletic Director. Here is the link to the website for a better understanding of the code. "https://fhsaa.com/sports/2020/1/28/member_directory.aspx"

I am on Ubuntu 20.04 and struggling with making iconify() and deiconify() work for a popup window. Currently the popup window will not deiconify() after having been iconified. Here is a minimal example:

I have to make a university project and to do that I have to clone Bookkeeper from github to create some test cases. My problem is that when I import the project with maven it shows me the error:

What is the cost of creating multiple subscriptions on a topic? Does creating more subscriptions affect the broker, Bookkeeper or both?

I'm assuming it only adds work load to the broker but the work increased by adding another subscription is minimal since it would only have to duplicate the messages?