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How do I convert an expression back into a series

I'd like to convert an expression into its output, particularly as a series. I couldn't find anything in the docs for doing so. I've got the following:

import polars as pl
from polars_general_plugin import get_len_keep_odd

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struct Input {
    values: Vec<u32>,
    weights: Vec<u32>,
    num_items: usize,
    capacity: u32,
}
        
// returns a vector containing the indices of items selected
fn solve_knapsack(ip: &Input) -> (u32, Vec<usize>) {
    let mut table = Vec::with_capacity(ip.num_items + 1);

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Using Python for Stitch SSO

Overview

This post goes through user Stitch SSO for python-based backends. It covers pretty much the same ground as the Stitch docs but uses Python instead of browser-based Javascript. It should be of help for anyone trying to integrate Stitch in their backend server. Before proceeding, make sure you have both a client_id and client_secret- they are provided by Stitch

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This is directly based on the Redpanda docs for Data Transforms link.

You should probably start from there to get a rough idea of where data transforms fit in.
The following steps are for if you want to try out transforms within a single-node docker container, e.g. as part of a testing pipeline. Some if not most of the steps can be moved into the image building stage.

Start the RedPanda container:

IMAGE_TAG_REDPANDA:='docker.redpanda.com/vectorized/redpanda:latest'
CONTAINER_TAG_REDPANDA:=redpanda-1

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If you're using the neovim plugin aerial and want to override the default key bindings without modifying ftplugin/aerial.vim, replace the keys table as follows:

require("aerial.bindings").keys = {
	{ "<CR>", "<cmd>lua require'aerial'.select()<CR>", "Jump to the symbol under the cursor" },
  -- and so on for the rest
}

Make sure to use the format that aerial uses in aerial/binding.lua. Also make sure that setup is called after, not before overriding keys, and that default_bindings is set to true

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Postgres indexing for overlaps operator doesn't work

Credits: Jonathan Katz: Lets Build a Complex Real Time Data Management Application -- PGCon 2018

Start with the following table:

create table bookings (
  id int generated by default as identity primary key,
  start_time timestamptz not null,
  end_time timestamptz not null,

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with recursive p(hops, flights, last_stop, last_arrival, total_duration, closest, found) as (
  select *
  from (
    select 
      array[departure_airport, arrival_airport] as hops,
      array[flight_no] as flights,
      arrival_airport as last_stop,
      scheduled_arrival as last_arrival,
      scheduled_arrival - scheduled_departure as total_duration,
      rank() over(

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// RadixSort ...
// credits QuestDB impl for radix sort (7104a57)
// core/src/main/c/share/ooo.cpp
func RadixSort(array []uint64) {
	if len(array) <= 100 {
		insertionSort(array)
		return
	}
	// counts
	type rscounts struct {

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package main

import (
	"fmt"
	"strings"
)

func generateTopicStrings(tokens []string) (generatedTopics []string) {
	// the expected no. of generated topics. See either of the previous
	// gists for explanation as to why this formula is used

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package main

import (
	"fmt"
	"strings"
)

type node struct {
	val         string
	exact       *node