catalyst | Terraria mod made with tModLoader

I have a Dataset[Year] that has the following schema:

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I am working in the VDI of a company and they use their own artifactory for security reasons. Currently I am writing unit tests to perform tests for a function that deletes entries from a delta table. When I started, I received an error of unresolved dependencies, because my spark session was configured in a way that it would load jars from maven. I was able to solve this issue by loading these jars locally from /opt/spark/jars. Now my code looks like this:

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I have a popover controller in my app for iPad and Mac (using mac catalyst) and I'm trying to figure out how to grow the height of the popover when it's already presented. I've been searching everywhere on how to do this but everything I find is about setting the size before presenting but not after.

While the pop-up is presenting, there's a button in it that should grow the height by 100-150 pixels, but I can not figure out how

Can anyone please help me with this? Thank you in advance!

Here's my popover presenting code:

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sorry, I thought I had got there after my last post, however I only got as far as accessing from a separate PL file. I'm now trying to ensure I can load the lexicon with the schema load and not everytime I call a method in my result / resultset classes (which seems like a really terrible idea).

So to try and give a complete picture, here's the script I eventually got to work:

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I have added an iOS 15+/macCatalyst 15.0+ function to my app and now it is crashing when run on an M1 iMac through Mac Catalyst (Designed for iPad).

I have an availability check around my function however when run on my Mac (macOS 11.6), the code within the availability check still runs, and crashes.

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I want to create a parquet table with certain types of fields:

name_process: String id_session: Int time_write: LocalDate or Timestamp key: String value: String

name_process id_session time_write key value OtherClass jsdfsadfsf 43434883477 schema0.table0.csv Success OtherClass jksdfkjhka 23212123323 schema1.table1.csv Success OtherClass alskdfksjd 23343212234 schema2.table2.csv Failure ExternalClass sdfjkhsdfd 34455453434 schema3.table3.csv Success

I want to write such a table correctly. With the correct data types. Then I'm going to read the partitions from it. I'm trying to implement read and write. But it turns out badly so far.

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I'm trying to make year and month columns from a column named logtimestamp (of type TimeStampType) in spark. The data source is cassandra. I am using sparkshell to perform these steps, here is the code I have written -

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I have setup a Spark cluster version 3.1.2. I am using Python API for Spark. I have some JSON data that I have loaded in dataframe. I have to parse a nested column (ADSZ_2) that looks like following format

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I have some data (~1 MB) on customers of a service provider. I'm trying to predict using Spark (PySpark on Databricks) if they will end their subscription (churn) based on a few features.

One-Feature Model

To start, I tried with only one feature and saw a successful training:

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