gbt | Highly configurable prompt builder for Bash , ZSH | Command Line Interface library

I am trying to insert few records into one of my Oracle table. So for that I am using XML. Below is the XML which is inserted into the table.

But without any error, it's not inserting the records.

I want to show, first of all, the Group name then below all child products of the particular group. but I can not populate the data. still, now, show data 1) group name 2) product name of the particular group. I want to display the result

1. Group Name a) product name b) product name c) product name d) product name my source code given is below:

   ...

I have a Powershell script that will make a GET request to SonarQube's REST API to check if the Quality Gate passes or fails. If the Quality Gate fails, the pipeline will fail. I am able to make this work when only looking at the master branch however, I am trying to look at all branches and pull requests.

My pipeline Powershell script:

I am creating a huffman class that can encode and decode text but I am having trouble with my decode method. My encoding method works fine and my decoding method works for smaller amounts of text. But when I try to decode large amounts of text I get a maximum recursion depth error and am not sure how to fix it. The class takes in a dictionary with characters and their frequencies and then turns them into nodes and builds the tree. After building the tree it puts the characters and their bitcode into another dictionary to be used for encoding and decoding.

I wrote a code in Python that extracts text from PDF files. But for some files Im getting some strange output. This is my code:

I have trained a model in pyspark

Including the training data in SHAP TreeExplainer gives different expected_value in scikit-learn GBT Regressor.

Reproducible example (run in Google Colab):

cross validation of GBT Classifier on PySpark taking too much time on 2 GB data(80% Train & 20 % Test). Is there a way to reduce the time? The sample code is as given below:-

I am getting an error when use gradient boosting model in python. I previously normalized the data, used VectorAssemble to transform, and indexed the columns, error occurs when when I run this: