xerox | Simple space simulator game | Game Engine library

I have a file containing thousands of records which are grouped into sub-groups based on the first 6-digits of their identity numbers they have in common, but some records are duplicates. I am trying to create a bash script to read in the file, find duplicate records and the identity number they share, and print out the identity numbers and duplicate records under them.

Current-Script:

I'm trying to test adding printers through PowerShell and I've had 1 successful test by adding a printer already added to the pc through PowerShell by removing the printer through control panel then running the PowerShell script:
Add-Printer -Name "Xerox WorkCentre 6605DN V4 PCL6" -DriverName "Xerox WorkCentre 6605DN V4 PCL6" -PortName "192.168.0.80" then i varied the code for the new printer:
Add-Printer -Name "Brother MFC-L5750DW series Printer" -DriverName "Microsoft IPP Class Driver" -PortName "192.168.0.141"
but when I've tried it from a brand new printer that wasn't already added to the computer it doesn't work I have run both the add-printerport 192.168.0.141 and add-printerdriver "Microsoft IPP Class Driver" and those seemed to work but whenever I add the printer with the script and try and print a test page it appears in the print queue for less than a second and nothing comes out but, when I remove it and add the printer through control panel it allows me to print test pages no problem I've looked through the settings and it has all the same setting as when I added it through PowerShell, The computer is on the same network as the the printer and the printer port is the same both times

I'm not sure what to try to fix this
I've re-asked this question on stack exchange superuser please answer there if you have an answer

Edit: Fixed data example issue

Background/Data: I'm working on a merge between two datasets: one is a list of the legal names of various publicly traded companies and the second is a fairly dirty field with company names, individual titles, and all sorts of other difficult to predict words. The company name list is about 14,000 rows and the dirty data is about 1.3M rows. Not every publicly traded company will appear in the dirty data and some may appear multiple times with different presentations (Exxon Mobil, Exxon, ExxonMobil, etc.).

Accordingly, my current approach is to dismantle the publicly traded company name list into the individual words used in each title (after cleaning out some common words like company, corporation, inc, etc.), resulting in the data shown below as Have1. An example of some of the dirty data is shown below as Have2. I have also cleaned these strings to eliminate words like Inc and Company in my ongoing work, but in case anyone has a better idea than my current approach, I'm leaving the data as-is. Additionally, we can assume there are very few, if any, exact matches in the data and that the Have2 data is too noisy to successfully use a fuzzy match without additional work.

Question: What is the best way to go about determining which of the items in Have2 contains the words from Have1? Specifically, I think I need the final data to look like Want, so that I can then link the public company name to the dirty data name. The plan is to hand-verify the matches given the difficult of the Have2 data, but if anyone has any suggestions on another way to go about this, I am definitely open to suggestions (please, someone, have a suggestion haha).

Tried so far: I have code that sort of works, but takes ages to run and seems inefficient. That is:

I have 2 PDF's resultant from splitting a 2-up document composed by 32 pages signatures. Meaning one PDF has pages 1-16, 33-48, 65-80.... and the other has pages 17-32, 49-64, 81-96....

How can I merge both, iterating through 16-page segments of each, using Python? To get a final composed PDF with 1-16, 17-32, 33-48, 49-64.....

I can iterate them page by page and I can combine one full PDF after the other, etc. But can't seem to get the correct way merging by segments.

The first operations are done with external software (Xerox Freeflow Core) and I get to a point where I have 4 files with the 16-page sequences divided in even/odd pages, I join them iterating with:

Imagine having the following df:

I've got a question.

imagine I have the following df:

I am creating a program that can automate some tasks. But I am stuck up in between. I want to know any command with which I can put the same text entered by the user to another window. For Example:

I am doing an upgrade from older version of tomcat to 8.5.29
I have a tomcat server with WAR file and exploded folder

tomcat8/webapps/xerox.war and tomcat8/webapps/xerox

The exploded folder contains patches that doesn't exist in the WAR
I would like tomcat to use only the exploded folder and ignore the WAR file.

So in server.xml, on the Host section I set the unpackWARs to true, and autoDeploy to false,
It seems like its not working ok, and stuff in the exploded folder gets overridden / deleted after restart.

What is the exact meaning of these characters ←, ≡, ¬, ≠, ⌾, and ∢ and how are used in Smalltalk-80?

consider the following expressions: (taken from the smalltalk-80 source code)

1. ^self class ≡ x ≡ false
2. ^mem ◦ ¬448 ≠ 0
3. strm frame ← 15000 ⌾ frame origin y rect: 20000 ⌾ frame corner y.
4. neg ← (aStream ∢ 45 "-" ifTrue: [true] ifFalse: [aStream ∢ 21 "**¬**"]).

Note: This examples were extracted from the original Xerox Alto disks found in this link: http://bitsavers.trailing-edge.com/bits/Xerox/Alto/disk_images/